FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU GIOVANNONI, SJ
BRITSCHGI, TB
MOYER, CL
FIELD, KG
AF GIOVANNONI, SJ
BRITSCHGI, TB
MOYER, CL
FIELD, KG
TI GENETIC DIVERSITY IN SARGASSO SEA BACTERIOPLANKTON
SO NATURE
DT Article
RP OREGON STATE UNIV, DEPT MICROBIOL, CORVALLIS, OR 97331 USA.
CR BROSIUS J, 1981, J MOL BIOL, V148, P107, DOI 10.1016/0022-2836(81)90508-8
DUNNING AM, 1988, NUCLEIC ACIDS RES, V16, P10393, DOI 10.1093/nar/16.21.10393
FERGUSON RL, 1976, LIMNOL OCEANOGR, V21, P141, DOI 10.4319/lo.1976.21.1.0141
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P3584, DOI 10.1128/jb.170.8.3584-3592.1988
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P720, DOI 10.1128/jb.170.2.720-726.1988
GUTELL RR, 1985, PROG NUCLEIC ACID RE, V32, P155, DOI 10.1016/S0079-6603(08)60348-7
HO SN, 1989, GENE, V77, P51, DOI 10.1016/0378-1119(89)90358-2
JANNASCH HW, 1959, LIMNOL OCEANOGR, V4, P128, DOI 10.4319/lo.1959.4.2.0128
JUKES T H, 1969, P21
KIMURA M, 1972, J MOL EVOL, V2, P87, DOI 10.1007/BF01653945
KOGURE K, 1979, CAN J MICROBIOL, V25, P415, DOI 10.1139/m79-063
MCARTHUR JV, 1988, P NATL ACAD SCI USA, V85, P9621, DOI 10.1073/pnas.85.24.9621
MENZEL DW, 1960, DEEP-SEA RES, V6, P351
OLSEN GJ, 1988, METHOD ENZYMOL, V164, P793
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
SAIKI RK, 1988, SCIENCE, V239, P487, DOI 10.1126/science.2448875
SANGER F, 1977, P NATL ACAD SCI USA, V74, P5463, DOI 10.1073/pnas.74.12.5463
SCHARF SJ, 1986, SCIENCE, V233, P1076, DOI 10.1126/science.3461561
Selander R.K., 1987, ESCHERICHIA COLI SAL, P1625
SHULDINER AR, 1989, NUCLEIC ACIDS RES, V17, P4409, DOI 10.1093/nar/17.11.4409
SOGIN ML, 1972, J BACTERIOL, V112, P13, DOI 10.1128/JB.112.1.13-16.1972
STACKEBRANDT E, 1988, ARCH MICROBIOL, V149, P547, DOI 10.1007/BF00446759
TURNER S, 1989, NATURE, V337, P380, DOI 10.1038/337380a0
WATERBURY JB, 1985, SCIENCE, V230, P74, DOI 10.1126/science.230.4721.74
Waterbury JB., 1986, CAN B FISH AQUAT SCI, V214, P71
WAYNE LG, 1987, INT J SYST BACTERIOL, V37, P463, DOI 10.1099/00207713-37-4-463
WOESE CR, 1985, SCIENCE, V229, P762
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
WOESE CR, 1985, SYST APPL MICROBIOL, V6, P143, DOI 10.1016/S0723-2020(85)80047-3
NR 30
TC 1223
Z9 1372
PD MAY 3
PY 1990
VL 345
IS 6270
BP 60
EP 63
DI 10.1038/345060a0
UT WOS:A1990DB95700056
DA 2025-07-30
ER
PT J
AU Herlemann, DPR
Woelk, J
Labrenz, M
Jürgens, K
AF Herlemann, Daniel P. R.
Woelk, Jana
Labrenz, Matthias
Juergens, Klaus
TI Diversity and abundance of "Pelagibacterales" (SAR11) in the
Baltic Sea salinity gradient
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB The candidate order "Pelagibacterales" (SARI 1) is one of the most abundant bacterial orders in ocean surface waters and, periodically, in freshwater lakes. The presence of several stable phylogenetic lineages comprising "Pelagibacterales" correlates with the physico-chemical parameters in aquatic environments. A previous amplicon sequencing study covering the bacterial community in the salinity gradient of the Baltic Sea suggested that pelagibacteral subclade SAR11-I was replaced by SARI 1-IIIa in the mesohaline region of the Baltic Sea. In this current study, we investigated the cellular abundances of "Pelagibacterales" subclades along the Baltic Sea salinity gradient using catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH). The results obtained with a newly designed probe, which exclusively detected SAR11-IIIa, were compared to CARD-FISH abundances of the marine SAR11-I/II subclade and the freshwater lineage SAR11-IIIb (LD12). The results showed that SAR11-IIIa was abundant in oligohaline-mesohaline conditions (salinities 2.7-13.3), with maximal abundances at a salinity of 7 (up to 35% of total Bacteria, quantified with a universal bacterial probe EUB). As expected, SAR11-I/II was abundant (27% of EUB) in the marine parts of the Baltic Sea, whereas counts of the freshwater lineage SAR11-IIIb were below the detection limit at all stations. The shift from SAR11-IIIa to SAR11-I/II was confirmed in the vertical salinity gradient in the deeper basins of the Baltic Sea. These findings were consistent with an overlapping but defined distribution of SARI 1-I/II and SAR11-IIIa in the salinity gradient of the Baltic Sea and suggested the adaptation of SARI 1-IIIa for growth and survival in mesohaline conditions. (C) 2014 Elsevier GmbH.
C1 [Herlemann, Daniel P. R.; Woelk, Jana; Labrenz, Matthias; Juergens, Klaus] Leibniz Inst Baltic Sea Res, Dept Biol Oceanog, D-18119 Rostock, Germany.
RP Herlemann, DPR (corresponding author), Leibniz Inst Baltic Sea Res, Dept Biol Oceanog, Seestr 15, D-18119 Rostock, Germany.
EM daniel.herlemann@io-warnemuende.de
CR AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Bergen B., 2014, ENV MICROBI IN PRESS
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Fuchs BM, 2000, APPL ENVIRON MICROB, V66, P3603, DOI 10.1128/AEM.66.8.3603-3607.2000
Grasshoff K., 1983, METHODS SEAWATER ANA
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Herlemann DPR, 2013, MBIO, V4, DOI 10.1128/mBio.00569-12
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Klindworth Anna, 2013, Nucleic Acids Res, V41, pe1, DOI 10.1093/nar/gks808
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Oksanen J., 2012, Vegan: Community Ecology Package
Peplies J, 2008, SYST APPL MICROBIOL, V31, P251, DOI 10.1016/j.syapm.2008.08.003
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Piwosz K, 2013, LIMNOL OCEANOGR, V58, P817, DOI 10.4319/lo.2013.58.3.0817
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 37
TC 52
Z9 57
PD DEC
PY 2014
VL 37
IS 8
BP 601
EP 604
DI 10.1016/j.syapm.2014.09.002
UT WOS:000346758600007
DA 2025-07-30
ER
PT J
AU Chen, LX
Zhao, YL
McMahon, KD
Mori, JF
Jessen, GL
Nelson, TC
Warren, LA
Banfield, JF
AF Chen, Lin-Xing
Zhao, Yanlin
McMahon, Katherine D.
Mori, Jiro F.
Jessen, Gerdhard L.
Nelson, Tara Colenbrander
Warren, Lesley A.
Banfield, Jillian F.
TI Wide Distribution of Phage That Infect Freshwater SAR11 Bacteria
SO MSYSTEMS
DT Article
AB Fonsibacter (LD12 subclade) is among the most abundant bacterioplankton in freshwater ecosystems. These bacteria belong to the order Pelagibacterales (SAR11) and are related to Pelagibacter (marine SAR11), which dominates many marine habitats. Although a few Pelagibacter phage (Pelagiphage) have been described, no phage that infect Fonsibacter have been reported. In this study, we describe two groups of Podoviridae phage that infect Fonsibacter. A complete Fonsibacter genome containing a prophage was reconstructed from metagenomic data. A circularized and complete genome related to the prophage, referred to as uv-Fonsiphage-EPL (lysogenic strategy), shows high similarity to marine Pelagiphage HTVC025P. Additionally, we reconstructed three complete genomes and one draft genome of phage related to marine Pelagiphage HTVC010P and predicted a lytic strategy. The similarity in codon usage and cooccurrence patterns of HTVC010P-related phage and Fonsibacter suggested that these phage infect Fonsibacter. Similar phage were detected in Lake Mendota, Wisconsin, where Fonsibacter is also present. A search of related phage revealed the worldwide distribution of some genotypes in freshwater ecosystems, suggesting their substantial role in shaping indigenous microbial assemblages and influence on biogeochemical cycling. However, the uv-Fonsiphage-EPL and one group of HTVC010P-related phage have a more limited distribution in freshwater ecosystems. Overall, the findings provide insights into the genomic features of phage that infect Fonsibacter and expand understanding of the ecology and evolution of these important bacteria.
IMPORTANCE Fonsibacter represents a significant microbial group of freshwater ecosystems. Although the genomic and metabolic features of these bacteria have been well studied, no phage infecting them has been reported. In this study, we reconstructed complete genomes of Fonsibacter and infecting phage and revealed their close relatedness to the phage infecting marine SAR11 members. Also, we illustrated that phage that infect Fonsibacter are widely distributed in freshwater habitats. In summary, the results contribute new insights into the ecology and evolution of Fonsibacter and phage.
C1 [Chen, Lin-Xing; Banfield, Jillian F.] Univ Calif Berkeley, Dept Earth & Planetary Sci, Berkeley, CA 94720 USA.
[Zhao, Yanlin] Fujian Agr & Forestry Univ, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Coll Life Sci, Fuzhou, Fujian, Peoples R China.
[McMahon, Katherine D.] Univ Wisconsin, Dept Civil & Environm Engn, Madison, WI 53706 USA.
[Mori, Jiro F.; Jessen, Gerdhard L.; Nelson, Tara Colenbrander; Warren, Lesley A.] Univ Toronto, Dept Civil & Mineral Engn, Toronto, ON, Canada.
[Warren, Lesley A.] McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON, Canada.
[Banfield, Jillian F.] Lawrence Berkeley Natl Lab, Earth Sci Div, Berkeley, CA 94720 USA.
[Banfield, Jillian F.] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.
[Banfield, Jillian F.] Chan Zuckerberg Biohub, San Francisco, CA 94158 USA.
[Banfield, Jillian F.] Univ Calif Berkeley, Innovat Genom Inst, Berkeley, CA 94720 USA.
[Banfield, Jillian F.] Univ Melbourne, Melbourne, Vic, Australia.
[McMahon, Katherine D.] Univ Wisconsin, Dept Bacteriol, Madison, WI 53706 USA.
[Mori, Jiro F.] Yokohama City Univ, Grad Sch Nanobiosci, Yokohama, Kanagawa, Japan.
[Jessen, Gerdhard L.] Univ Austral Chile, Fac Ciencias, Inst Ciencias Marinas & Limnol, Valdivia, Chile.
RP Banfield, JF (corresponding author), Univ Calif Berkeley, Dept Earth & Planetary Sci, Berkeley, CA 94720 USA.; Banfield, JF (corresponding author), Lawrence Berkeley Natl Lab, Earth Sci Div, Berkeley, CA 94720 USA.; Banfield, JF (corresponding author), Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.; Banfield, JF (corresponding author), Chan Zuckerberg Biohub, San Francisco, CA 94158 USA.; Banfield, JF (corresponding author), Univ Calif Berkeley, Innovat Genom Inst, Berkeley, CA 94720 USA.; Banfield, JF (corresponding author), Univ Melbourne, Melbourne, Vic, Australia.
EM jbanfield@berkeley.edu
CR Anantharaman K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13219
Andersson AF, 2008, SCIENCE, V320, P1047, DOI 10.1126/science.1157358
[Anonymous], 2013, PHEATMAP PRETTY HEAT
Bailly-Bechet M, 2007, GENOME RES, V17, P1486, DOI 10.1101/gr.6649807
Brown CT, 2015, NATURE, V523, P208, DOI 10.1038/nature14486
Bushnell B, 2018, BBTOOLS SUITE FAST M
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carda-Diéguez M, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0376-1
Carda-Diéguez M, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01132-14
Carda-Diéguez M, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00003
Colatriano D, 2018, COMMUN BIOL, V1, DOI 10.1038/s42003-018-0086-7
Daly RA, 2019, NAT MICROBIOL, V4, P352, DOI 10.1038/s41564-018-0312-6
Denef VJ, 2016, APPL ENVIRON MICROB, V82, P1423, DOI 10.1128/AEM.03014-15
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Edgar RC, 2004, BMC BIOINFORMATICS, V5, P1, DOI 10.1186/1471-2105-5-113
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Garcia SL, 2018, ISME J, V12, P742, DOI 10.1038/s41396-017-0001-0
Ghai R, 2017, ISME J, V11, P304, DOI 10.1038/ismej.2016.110
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haft DH, 2003, NUCLEIC ACIDS RES, V31, P371, DOI 10.1093/nar/gkg128
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ivanova NN, 2014, SCIENCE, V344, P909, DOI 10.1126/science.1250691
Käll L, 2007, NUCLEIC ACIDS RES, V35, pW429, DOI 10.1093/nar/gkm256
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
Lajoie MJ, 2013, SCIENCE, V342, P357, DOI 10.1126/science.1241459
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lee I, 2016, INT J SYST EVOL MICR, V66, P1100, DOI 10.1099/ijsem.0.000760
Letunic I, 2007, BIOINFORMATICS, V23, P127, DOI 10.1093/bioinformatics/btl529
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Lowe TM, 2016, NUCLEIC ACIDS RES, V44, pW54, DOI 10.1093/nar/gkw413
Lucks JB, 2008, PLOS COMPUT BIOL, V4, DOI 10.1371/journal.pcbi.1000001
Martins PD, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0522-4
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Méheust R, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12171-z
Moon K, 2017, ENVIRON MICROBIOL, V19, P4714, DOI 10.1111/1462-2920.13936
Otten TG, 2016, APPL ENVIRON MICROB, V82, P5410, DOI 10.1128/AEM.01334-16
Paver SF, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00232-18
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Pinto AJ, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00054-15
Remmert M, 2012, NAT METHODS, V9, P173, DOI [10.1038/nmeth.1818, 10.1038/NMETH.1818]
Risacher FF, 2018, APPL GEOCHEM, V93, P49, DOI 10.1016/j.apgeochem.2018.03.013
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salmond GPC, 2015, NAT REV MICROBIOL, V13, P777, DOI 10.1038/nrmicro3564
Söding J, 2005, NUCLEIC ACIDS RES, V33, pW244, DOI 10.1093/nar/gki408
Stamatakis Alexandros, 2015, Curr Protoc Bioinformatics, V51, DOI 10.1002/0471250953.bi0614s51
Steinegger M, 2017, NAT BIOTECHNOL, V35, P1026, DOI 10.1038/nbt.3988
Tran P, 2018, ENVIRON MICROBIOL, V20, P2568, DOI 10.1111/1462-2920.14283
Whaley-Martin K, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00297
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 56
TC 14
Z9 15
PD SEP-OCT
PY 2019
VL 4
IS 5
AR e00410-19
DI 10.1128/mSystems.00410-19
UT WOS:000500493300003
DA 2025-07-30
ER
PT J
AU Gilbert, JA
Mühling, M
Joint, I
AF Gilbert, Jack A.
Muehling, Martin
Joint, Ian
TI A rare SAR11 fosmid clone confirming genetic variability in the
'Candidatus Pelagibacter ubique' genome
SO ISME JOURNAL
DT Article
AB A sequence analysis is described of a fosmid clone from a coastal marine metagenomic library that contains a 16S rRNA gene with high sequence similarity to that of the SAR11 bacterium 'Candidatus Pelagibacter ubique' HTCC1062. The sequence of the fosmid clone was 32 086 bp in length and contained 23 187 bp of the 48-kb hyper-variable region 2 (HVR2) present in the genome of 'Cand. P. ubique'. However, half of the sequences within the HVR2 region of the fosmid clone show little sequence similarity to or have no representative homologues in the genome sequence of 'Cand. P. ubique' HTCC1062. Given their putative functions, the acquisition of these genes suggests that SAR11 could harbour more diverse phenotypes than represented by the 16S rRNA taxonomy. Variation in SAR11 genomes from different locations might explain why SAR11 is abundant in so many diverse marine provinces.
C1 [Gilbert, Jack A.; Muehling, Martin; Joint, Ian] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
RP Gilbert, JA (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
EM jagi@pml.ac.uk
CR Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Fraser C, 2007, SCIENCE, V315, P476, DOI 10.1126/science.1127573
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Rittmann D, 2005, APPL ENVIRON MICROB, V71, P4339, DOI 10.1128/AEM.71.8.4339-4344.2005
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
NR 11
TC 21
Z9 22
PD JUL
PY 2008
VL 2
IS 7
BP 790
EP 793
DI 10.1038/ismej.2008.49
UT WOS:000257829700010
DA 2025-07-30
ER
PT J
AU Tripp, HJ
AF Tripp, H. James
TI The Unique Metabolism of SAR11 Aquatic Bacteria
SO JOURNAL OF MICROBIOLOGY
DT Review
AB The deeply branching clade of abundant, globally distributed aquatic alpha-Proteobacteria known as "SAR11", are adapted to nutrient-poor environments such as the surface waters of the open ocean. Unknown prior to 1990, uncultured until 2002, members of the SAR11 clade can now be cultured in artificial, defined media to densities three orders of magnitude higher than in unamended natural media. Cultivation in natural and defined media has confirmed genomic and metagenomic predictions such as an inability to reduce sulfate to sulfide, a requirement for pyruvate, an ability to oxidize a wide variety of methylated and one-carbon compounds for energy, and an unusual form of conditional glycine auxotrophy. Here we describe the metabolism of the SAR11 type strain Candidatus "Pelagibacter ubique" sir. HTCC1062, as revealed by genome-assisted studies of laboratory cultures. We also describe the discovery of SAR11 and field studies that have been done on natural populations.
C1 Joint Genome Inst, Walnut Creek, CA 94598 USA.
RP Tripp, HJ (corresponding author), Joint Genome Inst, 2800 Mitchell Dr, Walnut Creek, CA 94598 USA.
EM hjtripp@lbl.gov
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
ARCHER LJ, 1969, J BACTERIOL, V97, P166, DOI 10.1128/JB.97.1.166-173.1969
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Huq A, 1996, J FOOD PROTECT, V59, P96, DOI 10.4315/0362-028X-59.1.96
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
KIEBER DJ, 1989, NATURE, V341, P637, DOI 10.1038/341637a0
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
MARTIN JH, 1988, NATURE, V331, P341, DOI 10.1038/331341a0
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Zobell C.E., 1946, MARINE MICROBIOLOGY
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 44
TC 38
Z9 42
PD APR
PY 2013
VL 51
IS 2
BP 147
EP 153
DI 10.1007/s12275-013-2671-2
UT WOS:000318198800001
DA 2025-07-30
ER
PT J
AU Jimenez-Infante, F
Ngugi, DK
Vinu, M
Blom, J
Alam, I
Bajic, VB
Stingl, U
AF Jimenez-Infante, Francy
Ngugi, David Kamanda
Vinu, Manikandan
Blom, Jochen
Alam, Intikhab
Bajic, Vladimir B.
Stingl, Ulrich
TI Genomic characterization of two novel SAR11 isolates from the Red Sea,
including the first strain of the SAR11 Ib clade
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB The SAR11 clade (Pelagibacterales) is a diverse group that forms a monophyletic clade within the Alphaproteobacteria, and constitutes up to one third of all prokaryotic cells in the photic zone of most oceans. Pelagibacterales are very abundant in the warm and highly saline surface waters of the Red Sea, raising the question of adaptive traits of SAR11 populations in this water body and warmer oceans through the world. In this study, two pure cultures were successfully obtained from surface waters on the Red Sea: one isolate of subgroup Ia and one of the previously uncultured SAR11 Ib lineage. The novel genomes were very similar to each other and to genomes of isolates of SAR11 subgroup Ia (Ia pan-genome), both in terms of gene content and synteny. Among the genes that were not present in the Ia pan-genome, 108 (RS39, Ia) and 151 genes (RS40, Ib) were strain specific. Detailed analyses showed that only 51 (RS39, Ia) and 55 (RS40, Ib) of these strain-specific genes had not reported before on genome fragments of Pelagibacterales. Further analyses revealed the potential production of phosphonates by some SAR11 members and possible adaptations for oligotrophic life, including pentose sugar utilization and adhesion to marine particulate matter.
C1 [Jimenez-Infante, Francy; Ngugi, David Kamanda; Vinu, Manikandan; Stingl, Ulrich] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Thuwal 239556900, Saudi Arabia.
[Blom, Jochen] Justus Liebig Univ, Bioinformat & Syst Biol, D-35392 Giessen, Germany.
[Alam, Intikhab; Bajic, Vladimir B.] King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia.
[Stingl, Ulrich] Univ Florida, Ft Lauderdale Res & Educ Ctr, Dept Microbiol & Cell Sci, UF IFAS, Davie, FL 33314 USA.
RP Stingl, U (corresponding author), Univ Florida, Ft Lauderdale Res & Educ Ctr, Dept Microbiol & Cell Sci, UF IFAS, Davie, FL 33314 USA.
EM ustingl@ufl.edu
CR Alam I, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0082210
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Blom J, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-154
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cohan FM, 1996, ASM NEWS, V62, P631
Cohan FM, 2007, CURR BIOL, V17, pR373, DOI 10.1016/j.cub.2007.03.032
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Darriba D, 2012, NAT METHODS, V9, P772, DOI 10.1038/nmeth.2109
Darriba D, 2011, BIOINFORMATICS, V27, P1164, DOI 10.1093/bioinformatics/btr088
Eiler A, 2015, ISME J, V10, P1
Elifantz H, 2013, FEMS MICROBIOL ECOL, V85, P348, DOI 10.1111/1574-6941.12122
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fontanez KM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00469
Gevers D, 2005, NAT REV MICROBIOL, V3, P733, DOI 10.1038/nrmicro1236
Gibb SW, 2004, MAR CHEM, V91, P65, DOI 10.1016/j.marchem.2004.04.005
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
ISBERG RR, 1987, CELL, V50, P769, DOI 10.1016/0092-8674(87)90335-7
Jackson CR, 2014, APPL ENVIRON MICROB, V80, P7186, DOI 10.1128/AEM.01844-14
JERSE AE, 1990, P NATL ACAD SCI USA, V87, P7839, DOI 10.1073/pnas.87.20.7839
Jimenez-Infante F, 2014, FEMS MICROBIOL ECOL, V89, P181, DOI 10.1111/1574-6941.12348
Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
Letunic I, 2015, NUCLEIC ACIDS RES, V43, pD257, DOI 10.1093/nar/gku949
Li HQ, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-418
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Lowther WT, 2000, P NATL ACAD SCI USA, V97, P6463, DOI 10.1073/pnas.97.12.6463
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Merchant SS, 2012, ADV MICROB PHYSIOL, V60, P91, DOI 10.1016/B978-0-12-398264-3.00002-4
Metcalf WW, 2009, ANNU REV BIOCHEM, V78, P65, DOI 10.1146/annurev.biochem.78.091707.100215
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moriya Y, 2007, NUCLEIC ACIDS RES, V35, pW182, DOI 10.1093/nar/gkm321
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Ngugi DK, 2012, MOL ECOL, V21, P388, DOI 10.1111/j.1365-294X.2011.05378.x
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Oh SD, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01137-14
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Saier MH, 2014, NUCLEIC ACIDS RES, V42, pD251, DOI 10.1093/nar/gkt1097
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Satchell KJF, 2011, ANNU REV MICROBIOL, V65, P71, DOI 10.1146/annurev-micro-090110-102943
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sharma AK, 2014, ENVIRON MICROBIOL, V16, P2815, DOI 10.1111/1462-2920.12254
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Yousef F, 2007, RES MICROBIOL, V158, P545, DOI 10.1016/j.resmic.2007.04.006
Yu XM, 2013, P NATL ACAD SCI USA, V110, P20759, DOI 10.1073/pnas.1315107110
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
NR 68
TC 14
Z9 22
PD JUL
PY 2017
VL 93
IS 7
AR fix083
DI 10.1093/femsec/fix083
UT WOS:000410344700010
DA 2025-07-30
ER
PT J
AU Viklund, J
Ettema, TJG
Andersson, SGE
AF Viklund, Johan
Ettema, Thijs J. G.
Andersson, Siv G. E.
TI Independent Genome Reduction and Phylogenetic Reclassification of the
Oceanic SAR11 Clade
SO MOLECULAR BIOLOGY AND EVOLUTION
DT Article
AB The SAR11 clade, here represented by Candidatus Pelagibacter ubique, is the most successful group of bacteria in the upper surface waters of the oceans. In contrast to previous studies that have associated the 1.3 Mb genome of Ca. Pelagibacter ubique with the less than 1.5 Mb genomes of the Rickettsiales, our phylogenetic analysis suggests that Ca. Pelagibacter ubique is most closely related to soil and aquatic Alphaproteobacteria with large genomes. This implies that the SAR11 clade and the Rickettsiales have undergone genome reduction independently. A gene flux analysis of 46 representative alphaproteobacterial genomes indicates the loss of more than 800 genes in each of Ca. Pelagibacter ubique and the Rickettsiales. Consistent with their different phylogenetic affiliations, the pattern of gene loss differs with a higher loss of genes for repair and recombination processes in Ca. Pelagibacter ubique as compared with a more extensive loss of genes for biosynthetic functions in the Rickettsiales. Some of the lost genes in Ca. Pelagibacter ubique, such as mutLS, recFN, and ruvABC, are conserved in all other alphaproteobacterial genomes including the small genomes of the Rickettsiales. The mismatch repair genes mutLS are absent from all currently sequenced SAR11 genomes and also underrepresented in the global ocean metagenome data set. We hypothesize that the unique loss of genes involved in repair and recombination processes in Ca. Pelagibacter ubique has been driven by selection and that this helps explain many of the characteristics of the SAR11 population, such as the streamlined genomes, the long branch lengths, the high recombination frequencies, and the extensive sequence divergence within the population.
C1 [Viklund, Johan; Ettema, Thijs J. G.; Andersson, Siv G. E.] Uppsala Univ, Sci Life Lab, Dept Mol Evolut, Evolutionary Biol Ctr, Uppsala, Sweden.
RP Andersson, SGE (corresponding author), Uppsala Univ, Sci Life Lab, Dept Mol Evolut, Evolutionary Biol Ctr, Uppsala, Sweden.
EM siv.andersson@ebc.uu.se
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Andersson SGE, 1996, J MOL EVOL, V42, P525, DOI 10.1007/BF02352282
Aravind L, 2000, NUCLEIC ACIDS RES, V28, P3417, DOI 10.1093/nar/28.18.3417
Archer SD, 2002, DEEP-SEA RES PT II, V49, P3067, DOI 10.1016/S0967-0645(02)00072-3
Ardell DH, 2010, FEBS LETT, V584, P325, DOI 10.1016/j.febslet.2009.11.084
Belfiore NM, 2008, SYST BIOL, V57, P294, DOI 10.1080/10635150802044011
Besemer J, 2005, NUCLEIC ACIDS RES, V33, pW451, DOI 10.1093/nar/gki487
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Blanquart S, 2008, MOL BIOL EVOL, V25, P842, DOI 10.1093/molbev/msn018
Boussau B, 2004, P NATL ACAD SCI USA, V101, P9722, DOI 10.1073/pnas.0400975101
Brindefalk B, 2011, PLOS ONE IN PRESS
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Darby AC, 2007, TRENDS GENET, V23, P511, DOI 10.1016/j.tig.2007.08.002
Delcher AL, 1999, NUCLEIC ACIDS RES, V27, P4636, DOI 10.1093/nar/27.23.4636
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Esser C, 2004, MOL BIOL EVOL, V21, P1643, DOI 10.1093/molbev/msh160
Ettema TJG, 2009, BIOL LETTERS, V5, P429, DOI 10.1098/rsbl.2008.0793
Fang QM, 2005, BIOCHEMISTRY-US, V44, P15396, DOI 10.1021/bi051460d
Finn RD, 2008, NUCLEIC ACIDS RES, V36, pD281, DOI 10.1093/nar/gkm960
Foster PG, 1999, J MOL EVOL, V48, P284, DOI 10.1007/PL00006471
Foster PG, 2004, SYST BIOL, V53, P485, DOI 10.1080/10635150490445779
Fowler RG, 2003, DNA REPAIR, V2, P159, DOI 10.1016/S1568-7864(02)00193-3
Fowler RG, 1997, FEMS MICROBIOL REV, V21, P43, DOI 10.1016/S0168-6445(97)00045-4
FREDERICO LA, 1990, BIOCHEMISTRY-US, V29, P2532, DOI 10.1021/bi00462a015
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuxelius HH, 2007, RES MICROBIOL, V158, P745, DOI 10.1016/j.resmic.2007.09.008
Fuxelius HH, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-2-r42
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giraud A, 2001, CURR OPIN MICROBIOL, V4, P582, DOI 10.1016/S1369-5274(00)00254-X
Hershberg R, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001115
Hessen DO, 2010, TRENDS ECOL EVOL, V25, P75, DOI 10.1016/j.tree.2009.08.004
Jayaraman R, 2009, J GENET, V88, P379, DOI 10.1007/s12041-009-0058-2
Katoh K, 2009, METHODS MOL BIOL, V537, P39, DOI 10.1007/978-1-59745-251-9_3
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kubatko LS, 2007, SYSTEMATIC BIOL, V56, P17, DOI 10.1080/10635150601146041
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lartillot N, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-S1-S4
Le SQ, 2008, MOL BIOL EVOL, V25, P1307, DOI 10.1093/molbev/msn067
Lipschultz F, 2001, DEEP-SEA RES PT II, V48, P1897, DOI 10.1016/S0967-0645(00)00168-5
Lucas-Lledó JI, 2009, MOL BIOL EVOL, V26, P1143, DOI 10.1093/molbev/msp029
Martins-Pinheiro M, 2007, BMC MICROBIOL, V7, DOI 10.1186/1471-2180-7-17
McCutcheon JP, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000565
MICHAELS ML, 1992, J BACTERIOL, V174, P6321, DOI 10.1128/JB.174.20.6321-6325.1992
Moran NA, 2008, ANNU REV GENET, V42, P165, DOI 10.1146/annurev.genet.41.110306.130119
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nesnidal MP, 2010, MOL BIOL EVOL, V27, P2095, DOI 10.1093/molbev/msq097
Nilsson AI, 2005, P NATL ACAD SCI USA, V102, P12112, DOI 10.1073/pnas.0503654102
Oliver A, 2000, SCIENCE, V288, P1251, DOI 10.1126/science.288.5469.1251
Reyes ED, 2010, J BIOL CHEM, V285, P16521, DOI 10.1074/jbc.M110.119164
Rocha EPC, 2005, PLOS GENET, V1, P247, DOI 10.1371/journal.pgen.0010015
Rocha EPC, 2002, TRENDS GENET, V18, P291, DOI 10.1016/S0168-9525(02)02690-2
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Rye PT, 2008, DNA REPAIR, V7, P170, DOI 10.1016/j.dnarep.2007.09.003
Sakai A, 2009, J BIOL CHEM, V284, P3264, DOI 10.1074/jbc.M807220200
Schul W, 2002, EMBO J, V21, P4719, DOI 10.1093/emboj/cdf456
Singh AH, 2009, J BACTERIOL, V191, P32, DOI 10.1128/JB.01084-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stöver BC, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-7
Swofford D., 1993, PAUP: Phylogenetic Analysis Using Parsimony
Talavera G, 2007, SYST BIOL, V56, P564, DOI 10.1080/10635150701472164
Toft C, 2010, NAT REV GENET, V11, P465, DOI 10.1038/nrg2798
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vieira-Silva S, 2010, TRENDS ECOL EVOL, V25, P319, DOI 10.1016/j.tree.2010.03.001
Vos M, 2009, ISME J, V3, P199, DOI 10.1038/ismej.2008.93
Wang S.Y., 1976, PHOTOCHEMISTRY PHOTO
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
Wu DY, 2009, NATURE, V462, P1056, DOI 10.1038/nature08656
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
Zuñiga-Castillo J, 2004, J BACTERIOL, V186, P7905, DOI 10.1128/JB.186.23.7905-7913.2004
NR 79
TC 90
Z9 94
PD FEB
PY 2012
VL 29
IS 2
BP 599
EP 615
DI 10.1093/molbev/msr203
UT WOS:000299129000013
DA 2025-07-30
ER
PT J
AU Bruewer, JD
Sidhu, C
Zhao, YL
Eich, A
Roessler, L
Orellana, LH
Fuchs, BM
AF Bruewer, Jan D.
Sidhu, Chandni
Zhao, Yanlin
Eich, Andreas
Roessler, Leonard
Orellana, Luis H.
Fuchs, Bernhard M.
TI Globally occurring pelagiphage infections create ribosome-deprived cells
SO NATURE COMMUNICATIONS
DT Article
AB Phages play an essential role in controlling bacterial populations. Those infecting Pelagibacterales (SAR11), the dominant bacteria in surface oceans, have been studied in silico and by cultivation attempts. However, little is known about the quantity of phage-infected cells in the environment. Using fluorescence in situ hybridization techniques, we here show pelagiphage-infected SAR11 cells across multiple global ecosystems and present evidence for tight community control of pelagiphages on the SAR11 hosts in a case study. Up to 19% of SAR11 cells were phage-infected during a phytoplankton bloom, coinciding with a similar to 90% reduction in SAR11 cell abundance within 5 days. Frequently, a fraction of the infected SAR11 cells were devoid of detectable ribosomes, which appear to be a yet undescribed possible stage during pelagiphage infection. We dubbed such cells zombies and propose, among other possible explanations, a mechanism in which ribosomal RNA is used as a resource for the synthesis of new phage genomes. On a global scale, we detected phage-infected SAR11 and zombie cells in the Atlantic, Pacific, and Southern Oceans. Our findings illuminate the important impact of pelagiphages on SAR11 populations and unveil the presence of ribosome-deprived zombie cells as part of the infection cycle.
C1 [Bruewer, Jan D.; Sidhu, Chandni; Roessler, Leonard; Orellana, Luis H.; Fuchs, Bernhard M.] Max Planck Inst Marine Microbiol, D-28359 Bremen, Germany.
[Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll Juncao Sci & Ecol, Fuzhou, Peoples R China.
[Eich, Andreas] PSL Res Univ, EPHE, CNRS, UAR 3278 CRIOBE,UPVD, Moorea, France.
RP Bruewer, JD; Fuchs, BM (corresponding author), Max Planck Inst Marine Microbiol, D-28359 Bremen, Germany.
EM jbruewer@mpi-bremen.de; bfuchs@mpi-bremen.de
CR Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Barrero-Canosa J, 2017, ENVIRON MICROBIOL, V19, P70, DOI 10.1111/1462-2920.13432
Bennke CM, 2016, APPL ENVIRON MICROB, V82, P3289, DOI 10.1128/AEM.03931-15
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Bruwer J. D., 2023, mSystems, V8
Buchholz HH, 2023, ISME J, V17, P1660, DOI 10.1038/s41396-023-01466-1
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Ducret A, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.77, 10.1038/NMICROBIOL.2016.77]
Eggleston EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01534
Fernández-García L, 2023, VIRUSES-BASEL, V15, DOI 10.3390/v15091795
Fuchs BM., 2007, METHODS GEN MOL MICR, P886
Georjon H, 2023, NAT REV MICROBIOL, V21, P686, DOI 10.1038/s41579-023-00934-x
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Hajam IA, 2017, VET RES, V48, DOI 10.1186/s13567-017-0442-5
Ignacio-Espinoza JC, 2020, NAT MICROBIOL, V5, P265, DOI 10.1038/s41564-019-0628-x
Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
Klaas Christine, 2023, PANGAEA, DOI 10.1594/PANGAEA.957236
Knust R., 2017, J LARGE SCALE RES FA, V3, P119, DOI DOI 10.17815/JLSRF-3-163
Lee Y., 2023, bioRxiv, Patent No. [2010.2023.563621, 20231203567112]
Li H, 2018, BIOINFORMATICS, V34, P3094, DOI 10.1093/bioinformatics/bty191
Loenen WAM, 2014, NUCLEIC ACIDS RES, V42, P56, DOI 10.1093/nar/gkt747
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
O'Leary NA, 2016, NUCLEIC ACIDS RES, V44, pD733, DOI 10.1093/nar/gkv1189
Reintjes G, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00184-19
Sánchez O, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76590-5
Schindelin J, 2012, NAT METHODS, V9, P676, DOI [10.1038/nmeth.2019, 10.1038/NMETH.2019]
Sidhu C, 2023, MICROBIOME, V11, DOI 10.1186/s40168-023-01517-x
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tamames J, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03349
Team RC, 2021, R LANG ENV STAT COMP, V1, P371
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tesson F, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30269-9
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Wiltshire K. H., 2023, The Expedition PS132 of the Research Vessel POLARSTERN to the Atlantic Ocean, P46, DOI [10.57738/BzPM07712023, DOI 10.57738/BZPM07712023]
Wittmers F, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.01522-21
Yang HQ, 2014, BIOENGINEERED, V5, P300, DOI 10.4161/bioe.32110
Zeder M, 2011, CYTOM PART A, V79A, P306, DOI 10.1002/cyto.a.21034
Zeugner LE, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00082-4
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhong KX, 2023, ISME J, V17, P105, DOI 10.1038/s41396-022-01327-3
Zielinski Oliver, 2018, PANGAEA, DOI 10.1594/PANGAEA.890394
ZWEIFEL UL, 1995, APPL ENVIRON MICROB, V61, P2180, DOI 10.1128/AEM.61.6.2180-2185.1995
NR 54
TC 3
Z9 3
PD MAY 2
PY 2024
VL 15
IS 1
AR 3715
DI 10.1038/s41467-024-48172-w
UT WOS:001262129900002
DA 2025-07-30
ER
PT J
AU Monaghan, EA
Freel, KC
Rappé, MS
AF Monaghan, Elizabeth A.
Freel, Kelle C.
Rappe, Michael S.
TI Isolation of SAR11 Marine Bacteria from Cryopreserved Seawater
SO MSYSTEMS
DT Article
AB While marine microorganisms are frequently studied in their natural environment, isolated strains are invaluable resources that can be used in controlled experiments to expand upon direct observations from natural systems. Here, we sought a means to enhance culture collections of SAR11 marine bacteria by testing the use of seawater cryopreserved with glycerol as an inoculum. Using a raw seawater sample collected from the tropical Pacific Ocean, a subsample was diluted in seawater growth medium to create 5762-ml dilution cultures containing 5 cells each and incubated for a high-throughput culturing (HTC) experiment, while another portion was cryopreserved in 10% glycerol. After 10 months, a cryopreserved aliquot was thawed and used to create a second cultivation experiment of 480 2-ml cultures containing 5 cells each and 470 cultures containing 105 cells each. The raw seawater cultivation experiment resulted in the successful isolation of 54 monocultures and 29 mixed cultures, while cryopreserved seawater resulted in 59 monocultures and 29 mixed cultures. Combined, the cultures included 51 SAR11 isolates spanning 11 unique 16S rRNA gene amplicon sequence variants (ASVs) from the raw seawater inoculum and 74 SAR11 isolates spanning 13 unique ASVs from cryopreserved seawater. A vast majority (92%) of SAR11 isolates from the two HTC experiments were members of SAR11 subclade la, though subclades lila and Va were also recovered from cryopreserved seawater and subclade lb was recovered from both. The four most abundant SAR11 subclade la ASVs found in the initial seawater environmental sample were isolated by both approaches.
IMPORTANCE High-throughput dilution culture has proved to be a successful approach to bring some difficult-to-isolate planktonic microorganisms into culture, including the highly abundant SAR11 lineage of marine bacteria. While the long-term preservation of bacterial isolates by freezing them in the presence of cryoprotectants, such as glycerol, has been shown to be an effective method of storing viable cells over long time periods (i.e., years), to our knowledge it had not previously been tested for its efficacy in preserving raw seawater for later use as an inoculum for high-throughput cultivation experiments. We found that SAR11 and other abundant marine bacteria could be isolated from seawater that was previously cryopreserved for nearly 10 months at a rate of culturability similar to that of the same seawater used fresh, immediately after collection. Our findings (i) expand the potential of high-throughput cultivation experiments to include testing when immediate isolation experiments are impractical, (ii) allow for targeted isolation experiments from specific samples based on analyses such as microbial community structure, and (iii) enable cultivation experiments across a wide range of other conditions that would benefit from having source inocula available over extended periods of time.
C1 [Monaghan, Elizabeth A.; Freel, Kelle C.; Rappe, Michael S.] Univ Hawaii Manoa, Hawaii Inst Marine Biol, Sch Ocean & Earth Sci & Technol, Kaneohe, HI 96744 USA.
[Monaghan, Elizabeth A.] Univ Hawaii Manoa, Marine Biol Grad Program, Honolulu, HI 96822 USA.
RP Rappé, MS (corresponding author), Univ Hawaii Manoa, Hawaii Inst Marine Biol, Sch Ocean & Earth Sci & Technol, Kaneohe, HI 96744 USA.
CR Aoi Y, 2009, APPL ENVIRON MICROB, V75, P3826, DOI 10.1128/AEM.02542-08
Baker B.J., 2013, MICROBE, V8, P353, DOI DOI 10.1128/MICROBE.8.353.1
Becker JW, 2007, MANUAL OF ENVIRONMENTAL MICROBIOLOGY, 3RD ED, P399
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carini P, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00092-19
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Garcia SL, 2018, MSPHERE, V3, DOI 10.1128/mSphere.00202-18
Garcia SL, 2016, AQUAT MICROB ECOL, V77, P79, DOI 10.3354/ame01789
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grant SR, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00218-18
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Huggett MJ, 2012, STAND GENOMIC SCI, V6, P11, DOI 10.4056/sigs.2305090
Huggett MJ, 2012, J BACTERIOL, V194, P2393, DOI 10.1128/JB.00171-12
Hulsen T, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-488
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Lloyd KG, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00055-18
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Ngugi DK, 2012, MOL ECOL, V21, P388, DOI 10.1111/j.1365-294X.2011.05378.x
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Paerl RW, 2018, P NATL ACAD SCI USA, V115, pE10447, DOI 10.1073/pnas.1806425115
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Rappé MS, 2013, CURR OPIN MICROBIOL, V16, P618, DOI 10.1016/j.mib.2013.09.009
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Schut F, 1997, FEMS MICROBIOL REV, V20, P363, DOI 10.1016/S0168-6445(97)00018-1
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Solden L, 2016, CURR OPIN MICROBIOL, V31, P217, DOI 10.1016/j.mib.2016.04.020
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Thrash JC, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00130-19
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vartoukian SR, 2010, FEMS MICROBIOL LETT, V309, P1, DOI 10.1111/j.1574-6968.2010.02000.x
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
Zengler K, 2002, P NATL ACAD SCI USA, V99, P15681, DOI 10.1073/pnas.252630999
NR 66
TC 6
Z9 7
PD NOV-DEC
PY 2020
VL 5
IS 6
AR e00954-20
DI 10.1128/mSystems.00954-20
UT WOS:000630974900025
DA 2025-07-30
ER
PT J
AU Eggleston, EM
Hewson, I
AF Eggleston, Erin M.
Hewson, Ian
TI Abundance of Two Pelagibacter ubique Bacteriophage
Genotypes along a Latitudinal Transect in the North and South Atlantic
Oceans
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB This study characterizes viral and bacterial dynamics along a latitudinal transect in the Atlantic Ocean from approximately 10 N-40 S. Overall viral abundance decreased with depth, on average there were 1.64 +/- 0.71 x 10(7) virus like particles (VLPs) in surface waters, decreasing to an average of 6.50 +/- 2.26 x 10(5) VLPs in Antarctic Bottom Water. This decrease was highly correlated to bacterial abundance. There are six major water masses in the Southern Tropical Atlantic Ocean, and inclusion of water mass, temperature and salinity variables explained a majority of the variation in total viral abundance. Recent discovery of phages infecting bacteria of the SAR11 Glade of Alphaproteobacteria (i.e., pelagiphages) leads to intriguing questions about the roles they play in shaping epipelagic communities. Viral-size fraction DNA from epipelagic water was used to quantify the abundance of two pelagiphages, using pelagiphage-specific quantitative PCR primers and probes along the transect. We found that HTVC010P, a member of a podoviridae sub-family, was most abundant in surface waters. Copy numbers ranged from an average of 1.03 +/- 2.38 x 10(5) copies ml(-1) in surface waters, to 5.79 +/- 2.86 x 10(3) in the deep chlorophyll maximum. HTVC008M, a T4-like myovirus, was present in the deep chlorophyll maximum (5.42 +/- 2.8 x 10(3) copies ml(-1) on average), although it was not as highly abundant as HTVC010P in surface waters (6.05 +/- 3.01 x 10(3) copies ml(-1) on average). Interestingly, HTVC008M was only present at a few of the most southern stations, suggesting latitudinal biogeography of SAR11 phages.
C1 [Eggleston, Erin M.; Hewson, Ian] Cornell Univ, Dept Microbiol, Ithaca, NY 14850 USA.
[Eggleston, Erin M.] St Lawrence Univ, Biol Dept, Canton, NY 13617 USA.
RP Eggleston, EM (corresponding author), Cornell Univ, Dept Microbiol, Ithaca, NY 14850 USA.; Eggleston, EM (corresponding author), St Lawrence Univ, Biol Dept, Canton, NY 13617 USA.
EM eegaleston@stlawu.edu
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
[Anonymous], 2012, R LANG ENV STAT COMP
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Baker LJ, 2014, AQUAT MICROB ECOL, V72, P73, DOI 10.3354/ame01686
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Brum JR, 2015, NAT REV MICROBIOL, V13, P147, DOI 10.1038/nrmicro3404
Brum JR, 2013, ISME J, V7, P1738, DOI 10.1038/ismej.2013.67
Brussaard CPD, 2008, ISME J, V2, P575, DOI 10.1038/ismej.2008.31
CARPENTER JAMES H., 1965, LIMNOL OCEANOGR, V10, P135
Chow CET, 2015, ANNU REV VIROL, V2, P41, DOI 10.1146/annurev-virology-031413-085540
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Clokie Martha Rj, 2011, Bacteriophage, V1, P31, DOI 10.4161/bact.1.1.14942
Cram JA, 2016, LIMNOL OCEANOGR, V61, P889, DOI 10.1002/lno.10259
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Hambly E, 2001, P NATL ACAD SCI USA, V98, P11411, DOI 10.1073/pnas.191174498
Hewson I, 2007, MICROB ECOL, V53, P631, DOI 10.1007/s00248-006-9148-3
Huang SJ, 2015, APPL ENVIRON MICROB, V81, P441, DOI 10.1128/AEM.02483-14
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Kapfhammer D, 2002, J BACTERIOL, V184, P6592, DOI 10.1128/JB.184.23.6592-6601.2002
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
Marston MF, 2013, ENVIRON MICROBIOL, V15, P1452, DOI 10.1111/1462-2920.12062
Middelboe M, 2001, MICROBIAL ECOL, V42, P395, DOI 10.1007/s00248-001-0012-1
Mojica KDA, 2016, ISME J, V10, P500, DOI 10.1038/ismej.2015.130
Morozov EG, 2010, ABYSSAL CHANNELS IN THE ATLANTIC OCEAN: WATER STRUCTURE AND FLOWS, P1, DOI 10.1007/978-90-481-9358-5
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Noble RT, 1997, APPL ENVIRON MICROB, V63, P77, DOI 10.1128/AEM.63.1.77-83.1997
Ory P, 2011, AQUAT MICROB ECOL, V64, P233, DOI 10.3354/ame01524
Ory P, 2010, ENVIRON MICROBIOL, V12, P2755, DOI 10.1111/j.1462-2920.2010.02243.x
Parada V, 2008, ISME J, V2, P924, DOI 10.1038/ismej.2008.57
Patel A, 2007, NAT PROTOC, V2, P269, DOI 10.1038/nprot.2007.6
Paul JH, 2005, CURR OPIN BIOTECH, V16, P299, DOI 10.1016/j.copbio.2005.03.007
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rozen S, 2000, Methods Mol Biol, V132, P365
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Short S.M., 2010, Manual of Aquatic Viral Ecology, P82
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thurber RV, 2009, CURR OPIN MICROBIOL, V12, P582, DOI 10.1016/j.mib.2009.08.008
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Van Valen Leigh, 1973, Evolutionary Theory, V1, P1, DOI DOI 10.4337/9781785361302.00005
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Volozhantsev NV, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038283
Wang K, 2011, APPL ENVIRON MICROB, V77, P7459, DOI 10.1128/AEM.00267-11
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
WEINBAUER MG, 1995, MICROBIAL ECOL, V30, P25, DOI 10.1007/BF00184511
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Wilhelm SW, 2002, MICROBIAL ECOL, V43, P168, DOI 10.1007/s00248-001-1021-9
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Yang YH, 2010, AQUAT MICROB ECOL, V60, P233, DOI 10.3354/ame01428
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 61
TC 12
Z9 12
PD SEP 28
PY 2016
VL 7
AR 1534
DI 10.3389/fmicb.2016.01534
UT WOS:000384202100001
DA 2025-07-30
ER
PT J
AU Zhao, XW
Schwartz, CL
Pierson, J
Giovannoni, SJ
McIntosh, JR
Nicastroa, D
AF Zhao, Xiaowei
Schwartz, Cindi L.
Pierson, Jason
Giovannoni, Stephen J.
McIntosh, J. Richard
Nicastroa, Daniela
TI Three-Dimensional Structure of the Ultraoligotrophic Marine Bacterium
"Candidatus Pelagibacter ubique"
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB SAR11 bacteria are small, heterotrophic, marine alphaproteobacteria found throughout the oceans. They thrive at the low nutrient concentrations typical of open ocean conditions, although the adaptations required for life under those conditions are not well understood. To illuminate this issue, we used cryo-electron tomography to study "Candidatus Pelagibacter ubique" strain HTCC1062, a member of the SAR11 clade. Our results revealed its cellular dimensions and details of its intracellular organization. Frozen-hydrated cells, which were preserved in a life-like state, had an average cell volume (enclosed by the outer membrane) of 0.037 +/- 0.011 mu m(3). Strikingly, the periplasmic space occupied similar to 20% to 50% of the total cell volume in log-phase cells and similar to 50% to 70% in stationary-phase cells. The nucleoid occupied the convex side of the crescent-shaped cells and the ribosomes predominantly occupied the concave side, at a relatively high concentration of 10,000 to 12,000 ribosomes/similar to m(3). Outer membrane pore complexes, likely composed of PilQ, were frequently observed in both log-phase and stationary-phase cells. Long filaments, most likely type IV pili, were found on dividing cells. The physical dimensions, intracellular organization, and morphological changes throughout the life cycle of "Ca. Pelagibacter ubique" provide structural insights into the functional adaptions of these oligotrophic ultramicrobacteria to their habitat.
IMPORTANCE Bacterioplankton of the SAR11 clade (Pelagibacterales) are of interest because of their global biogeochemical significance and because they appear to have been molded by unusual evolutionary circumstances that favor simplicity and efficiency. They have adapted to an ecosystem in which nutrient concentrations are near the extreme limits at which transport systems can function adequately, and they have evolved streamlined genomes to execute only functions essential for life. However, little is known about the actual size limitations and cellular features of living oligotrophic ultramicrobacteria. In this study, we have used cryo-electron tomography to obtain accurate physical information about the cellular architecture of "Candidatus Pelagibacter ubique," the first cultivated member of the SAR11 clade. These results provide foundational information for answering questions about the cell architecture and functions of these ultrasmall oligotrophic bacteria.
C1 [Zhao, Xiaowei; Nicastroa, Daniela] Univ Texas Southwestern Med Ctr Dallas, Dept Cell Biol & Biophys, Dallas, TX 75390 USA.
[Schwartz, Cindi L.; Pierson, Jason; McIntosh, J. Richard; Nicastroa, Daniela] Univ Colorado, Dept Mol Cellular & Dev Biol, Boulder, CO 80309 USA.
[Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Schwartz, Cindi L.] NIAID, NIH, Rocky Mt Labs, Hamilton, MT USA.
[Pierson, Jason] FEI Co, Hillsboro, OR USA.
RP Nicastroa, D (corresponding author), Univ Texas Southwestern Med Ctr Dallas, Dept Cell Biol & Biophys, Dallas, TX 75390 USA.; Nicastroa, D (corresponding author), Univ Colorado, Dept Mol Cellular & Dev Biol, Boulder, CO 80309 USA.
EM daniela.nicastro@utsouthwestern.edu
CR Asano S, 2016, J MOL BIOL, V428, P332, DOI 10.1016/j.jmb.2015.09.030
Ausmees N, 2003, CELL, V115, P705, DOI 10.1016/S0092-8674(03)00935-8
Bagchi S, 2008, MOL MICROBIOL, V70, P1037, DOI 10.1111/j.1365-2958.2008.06473.x
Baumeister W, 2002, CURR OPIN STRUC BIOL, V12, P679, DOI 10.1016/S0959-440X(02)00378-0
Berry JL, 2012, PLOS PATHOG, V8, DOI 10.1371/journal.ppat.1002923
Borgnia MJ, 2008, J BACTERIOL, V190, P2588, DOI 10.1128/JB.01538-07
Bosdriesz E, 2015, FEBS J, V282, P2394, DOI 10.1111/febs.13289
Bremer H., 2008, ECOSAL PLUS, DOI 10.1128/ecosal.5.2.3
Briegel A, 2006, MOL MICROBIOL, V62, P5, DOI 10.1111/j.1365-2958.2006.05355.x
Burkhardt J, 2011, J BIOL CHEM, V286, P9977, DOI 10.1074/jbc.M110.212688
Button DK, 2004, APPL ENVIRON MICROB, V70, P5511, DOI 10.1128/AEM.70.9.5511-5521.2004
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Cabeen MT, 2010, ANNU REV GENET, V44, P365, DOI 10.1146/annurev-genet-102108-134845
Cavicchioli R, 2003, MICROB ECOL, V45, P203, DOI 10.1007/s00248-002-3008-6
Celler K, 2013, J BACTERIOL, V195, P1627, DOI 10.1128/JB.02194-12
Chami M, 2005, J BIOL CHEM, V280, P37732, DOI 10.1074/jbc.M504463200
Chang YW, 2016, SCIENCE, V351, DOI 10.1126/science.aad2001
Cho H, 2015, J MICROBIOL BIOTECHN, V25, P307, DOI 10.4014/jmb.1409.09047
Collins RF, 2004, J BIOL CHEM, V279, P39750, DOI 10.1074/jbc.M405971200
Collins RF, 2003, J BACTERIOL, V185, P2611, DOI 10.1128/JB.185.8.2611-2617.2003
Collins RF, 2001, J BACTERIOL, V183, P3825, DOI 10.1128/JB.183.13.3825-3832.2001
Comolli LR, 2009, ISME J, V3, P159, DOI 10.1038/ismej.2008.99
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Dai W, 2013, NATURE, V502, P707, DOI 10.1038/nature12604
Dethlefsen L, 2007, J BACTERIOL, V189, P3237, DOI 10.1128/JB.01686-06
Duda VI, 2012, MICROBIOLOGY+, V81, P379, DOI 10.1134/S0026261712040054
Engel BD, 2015, ELIFE, V4, DOI 10.7554/eLife.04889
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Figge RM, 2004, MOL MICROBIOL, V51, P1321, DOI 10.1111/j.1365-2958.2003.03936.x
Frangakis AS, 2002, P NATL ACAD SCI USA, V99, P14153, DOI 10.1073/pnas.172520299
FRASER CM, 1995, SCIENCE, V270, P397, DOI 10.1126/science.270.5235.397
GENIN S, 1994, MOL GEN GENET, V243, P112, DOI 10.1007/BF00283883
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Gilbert RJC, 2004, MOL CELL, V14, P57, DOI 10.1016/S1097-2765(04)00163-7
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gitai Z, 2004, P NATL ACAD SCI USA, V101, P8643, DOI 10.1073/pnas.0402638101
Gold VAM, 2015, ELIFE, V4, DOI 10.7554/eLife.07380
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hallez R, 2004, TRENDS MICROBIOL, V12, P361, DOI 10.1016/j.tim.2004.06.002
Hazes B, 2008, BBA-BIOMEMBRANES, V1778, P1839, DOI 10.1016/j.bbamem.2008.03.011
Henderson GP, 2006, MOL MICROBIOL, V60, P376, DOI 10.1111/j.1365-2958.2006.05113.x
Hu B, 2015, P NATL ACAD SCI USA, V112, pE4919, DOI 10.1073/pnas.1501064112
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Korotkov KV, 2011, TRENDS BIOCHEM SCI, V36, P433, DOI 10.1016/j.tibs.2011.04.002
Korotkov KV, 2009, STRUCTURE, V17, P255, DOI 10.1016/j.str.2008.11.011
Kowal J, 2013, STRUCTURE, V21, P2152, DOI 10.1016/j.str.2013.09.012
Kremer JR, 1996, J STRUCT BIOL, V116, P71, DOI 10.1006/jsbi.1996.0013
Lewis PJ, 2000, EMBO J, V19, P710, DOI 10.1093/emboj/19.4.710
Li Z, 2007, EMBO J, V26, P4694, DOI 10.1038/sj.emboj.7601895
Lin T, 2015, MBIO, V6, DOI 10.1128/mBio.00579-15
Llopis PM, 2010, NATURE, V466, P77, DOI 10.1038/nature09152
Luef B, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7372
Mahamid J, 2016, SCIENCE, V351, P969, DOI 10.1126/science.aad8857
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Margolin W, 2009, CURR BIOL, V19, pR812, DOI 10.1016/j.cub.2009.06.033
Mastronarde DN, 2005, J STRUCT BIOL, V152, P36, DOI 10.1016/j.jsb.2005.07.007
Matias VRF, 2003, J BACTERIOL, V185, P6112, DOI 10.1128/JB.185.20.6112-6118.2003
Mattick JS, 2002, ANNU REV MICROBIOL, V56, P289, DOI 10.1146/annurev.micro.56.012302.160938
McIntosh R, 2005, TRENDS CELL BIOL, V15, P43, DOI 10.1016/j.tcb.2004.11.009
Milne JLS, 2009, NAT REV MICROBIOL, V7, P666, DOI 10.1038/nrmicro2183
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Müller A, 2014, MICROBIOLOGYOPEN, V3, P702, DOI 10.1002/mbo3.200
National Research Council, 1999, SIZE LIMITS OF VERY
Nicastro D, 2006, SCIENCE, V313, P944, DOI 10.1126/science.1128618
Nouwen N, 1999, P NATL ACAD SCI USA, V96, P8173, DOI 10.1073/pnas.96.14.8173
Ortiz JO, 2006, J STRUCT BIOL, V156, P334, DOI 10.1016/j.jsb.2006.04.014
PANG HL, 1994, MOL MICROBIOL, V12, P115, DOI 10.1111/j.1365-2958.1994.tb01000.x
Pettersen EF, 2004, J COMPUT CHEM, V25, P1605, DOI 10.1002/jcc.20084
Pilhofer M, 2013, CURR OPIN CELL BIOL, V25, P125, DOI 10.1016/j.ceb.2012.10.019
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reichow SL, 2010, NAT STRUCT MOL BIOL, V17, P1226, DOI 10.1038/nsmb.1910
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Salzer R, 2014, FEMS MICROBIOL LETT, V357, P56, DOI 10.1111/1574-6968.12506
Schur FKM, 2015, NATURE, V517, P505, DOI 10.1038/nature13838
Schwarzenlander C, 2009, ENVIRON MICROBIOL, V11, P801, DOI 10.1111/j.1462-2920.2008.01801.x
Seybert A, 2006, J STRUCT BIOL, V156, P342, DOI 10.1016/j.jsb.2006.04.010
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Swulius MT, 2011, BIOCHEM BIOPH RES CO, V407, P650, DOI 10.1016/j.bbrc.2011.03.062
Ting CS, 2007, J BACTERIOL, V189, P4485, DOI 10.1128/JB.01948-06
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
von Appen A, 2015, NATURE, V526, P140, DOI 10.1038/nature15381
NR 85
TC 39
Z9 43
PD FEB
PY 2017
VL 83
IS 3
AR e02807-16
DI 10.1128/AEM.02807-16
UT WOS:000393480900022
DA 2025-07-30
ER
PT J
AU Buchholz, HH
Bolaños, LM
Bell, AG
Michelsen, ML
Allen, MJ
Temperton, B
AF Buchholz, Holger H.
Bolanos, Luis M.
Bell, Ashley G.
Michelsen, Michelle L.
Allen, Michael J.
Temperton, Ben
TI Novel pelagiphage isolate Polarivirus skadi is a polar specialist
that dominates SAR11-associated bacteriophage communities at high
latitudes
SO ISME JOURNAL
DT Article
AB The SAR11 clade are the most abundant members of surface marine bacterioplankton and a critical component of global biogeochemical cycles. Similarly, pelagiphages that infect SAR11 are ubiquitous and highly abundant in the oceans. Pelagiphages are predicted to shape SAR11 community structures and increase carbon turnover throughout the oceans. Yet, ecological drivers of host and niche specificity of pelagiphage populations are poorly understood. Here we report the global distribution of a novel pelagiphage called "Polarivirus skadi", which is the sole representative of a novel genus. P. skadi was isolated from the Western English Channel using a cold-water ecotype of SAR11 as bait. P. skadi is closely related to the globally dominant pelagiphage HTVC010P. Along with other HTVC010P-type viruses, P. skadi belongs to a distinct viral family within the order Caudovirales, for which we propose the name Ubiqueviridae. Metagenomic read recruitment identified P. skadi as one of the most abundant pelagiphages on Earth. P. skadi is a polar specialist, replacing HTVC010P at high latitudes. Experimental evaluation of P. skadi host range against cold- and warm-water SAR11 ecotypes supported cold-water specialism. Relative abundance of P. skadi in marine metagenomes correlated negatively with temperature, and positively with nutrients, available oxygen, and chlorophyll concentrations. In contrast, relative abundance of HTVC010P correlated negatively with oxygen and positively with salinity, with no significant correlation to temperature. The majority of other pelagiphages were scarce in most marine provinces, with a few representatives constrained to discrete ecological niches. Our results suggest that pelagiphage populations persist within a global viral seed bank, with environmental parameters and host availability selecting for a few ecotypes that dominate ocean viromes.
C1 [Buchholz, Holger H.; Bolanos, Luis M.; Bell, Ashley G.; Michelsen, Michelle L.; Allen, Michael J.; Temperton, Ben] Univ Exeter, Sch Biosci, Exeter, England.
RP Temperton, B (corresponding author), Univ Exeter, Sch Biosci, Exeter, England.
EM b.temperton@exeter.ac.uk
CR Arrigo KR, 2015, PROG OCEANOGR, V136, P60, DOI 10.1016/j.pocean.2015.05.002
Bayliss SC, 2019, GIGASCIENCE, V8, DOI 10.1093/gigascience/giz119
Bolanos LM, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00198-1
Bolaños LM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.624164
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchholz HH, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.00255-22
Buchholz HH, 2021, MICROBIOL RESOUR ANN, V10, DOI 10.1128/MRA.01325-20
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Cai WJ, 1998, Q J ROY METEOR SOC, V124, P811, DOI 10.1002/qj.49712454708
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Ceyssens PJ, 2020, VIRUSES-BASEL, V12, DOI 10.3390/v12090976
Chang CY, 2010, VIROLOGY, V398, P176, DOI 10.1016/j.virol.2009.12.002
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Cook R, 2021, PHAGE-THER APPL RES, V2, P214, DOI 10.1089/phage.2021.0007
Danovaro R, 2008, NATURE, V454, P1084, DOI 10.1038/nature07268
Delesalle VA., 2016, BACTERIOPHAGE, V6, DOI DOI 10.1080/21597081.2016.1219441
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Deng L, 2014, NATURE, V513, P242, DOI 10.1038/nature13459
Dion MB, 2020, NAT REV MICROBIOL, V18, P125, DOI 10.1038/s41579-019-0311-5
Du S, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000596
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Firth C, 2010, MOL BIOL EVOL, V27, P2038, DOI 10.1093/molbev/msq088
Gebbie G, 2012, J PHYS OCEANOGR, V42, P291, DOI 10.1175/JPO-D-11-043.1
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goldsmith DB, 2015, PEERJ, V3, DOI 10.7717/peerj.997
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
HELDAL M, 1991, MAR ECOL PROG SER, V72, P205, DOI 10.3354/meps072205
Hendrix H, 2022, CELL REP, V38, DOI 10.1016/j.celrep.2022.110372
Hurwitz BL, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r123
Igarza M, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00198
Jacobs SS, 2004, ANTARCT SCI, V16, P427, DOI 10.1017/S095410200400224X
Jover LF, 2014, NAT REV MICROBIOL, V12, P519, DOI 10.1038/nrmicro3289
Koskella B, 2013, VIRUSES-BASEL, V5, P806, DOI 10.3390/v5030806
Kupczok A, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11080720
Li HF, 2020, FRONT BIOENG BIOTECH, V8, DOI 10.3389/fbioe.2020.00183
Lima-Mendez G, 2008, MOL BIOL EVOL, V25, P762, DOI 10.1093/molbev/msn023
Luo EL, 2020, ISME J, V14, P1304, DOI 10.1038/s41396-020-0604-8
Lupo D, 2015, VIROLOGY, V486, P263, DOI 10.1016/j.virol.2015.09.022
Marston MF, 2016, ENVIRON MICROBIOL, V18, P4240, DOI 10.1111/1462-2920.13556
Marston MF, 2013, ENVIRON MICROBIOL, V15, P1452, DOI 10.1111/1462-2920.12062
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Mizuno CM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00027
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Meier-Kolthoff JP, 2017, BIOINFORMATICS, V33, P3396, DOI 10.1093/bioinformatics/btx440
Miller RV., 2012, POLAR MICROBIOLOGY L
Montecino V, 2009, PROG OCEANOGR, V83, P65, DOI 10.1016/j.pocean.2009.07.041
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Motegi C, 2009, LIMNOL OCEANOGR, V54, P1901, DOI 10.4319/lo.2009.54.6.1901
Murphy J, 2013, APPL ENVIRON MICROB, V79, P7547, DOI 10.1128/AEM.02229-13
Noble RT, 1997, APPL ENVIRON MICROB, V63, P77, DOI 10.1128/AEM.63.1.77-83.1997
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
Puxty RJ, 2018, ISME J, V12, P1273, DOI 10.1038/s41396-017-0043-3
Puxty RJ, 2016, CURR BIOL, V26, P1585, DOI 10.1016/j.cub.2016.04.036
Qin F, 2022, ISME J, V16, P1363, DOI 10.1038/s41396-021-01183-7
Rabsch W, 2007, J BACTERIOL, V189, P5658, DOI 10.1128/JB.00437-07
Roux S, 2017, PEERJ, V5, DOI 10.7717/peerj.3817
Sabehi G, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036710
Salazar AJ, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0211432
Salisbury A, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20143391
Sanjuán R, 2010, J VIROL, V84, P9733, DOI 10.1128/JVI.00694-10
Silva JB, 2016, FEMS MICROBIOL LETT, V363, DOI 10.1093/femsle/fnw002
Solonenko N., 2016, ISOLATION DNA PHAGE, DOI [10.17504/protocols.io.c36yrd, DOI 10.17504/PROTOCOLS.IO.C36YRD]
Still PC, 2014, J NAT PROD, V77, P690, DOI 10.1021/np500041x
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Terhaar J, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20470-z
Turner D, 2021, VIRUSES-BASEL, V13, DOI 10.3390/v13030506
Warwick-Dugdale J, 2019, PEERJ, V7, DOI 10.7717/peerj.6800
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Yang HQ, 2014, BIOENGINEERED, V5, P300, DOI 10.4161/bioe.32110
Yuan YH, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00745
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zimmerman AE, 2020, NAT REV MICROBIOL, V18, P21, DOI 10.1038/s41579-019-0270-x
NR 86
TC 8
Z9 8
PD OCT
PY 2023
VL 17
IS 10
BP 1660
EP 1670
DI 10.1038/s41396-023-01466-1
EA JUL 2023
UT WOS:001028399800001
DA 2025-07-30
ER
PT J
AU Moore, ER
Weaver, AJ
Davis, EW
Giovannoni, SJ
Halsey, KH
AF Moore, Eric R.
Weaver, Alec J.
Davis, Edward W.
Giovannoni, Stephen J.
Halsey, Kimberly H.
TI Metabolism of key atmospheric volatile organic compounds by the marine
heterotrophic bacterium Pelagibacter HTCC1062 (SAR11)
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Plants and phytoplankton are natural sources of the volatile organic compounds (VOCs) acetone and isoprene, which are reactive and can alter atmospheric chemistry. In earlier research we reported that, when co-cultured with a diatom, the marine bacterium Pelagibacter (strain HTCC1062; 'SAR11 clade') reduced the concentration of compounds tentatively identified as acetone and isoprene. In this study, experiments with Pelagibacter monocultures confirmed that these cells are capable of metabolizing acetone and isoprene at rates similar to bacterial communities in seawater and high enough to consume substantial fractions of the total marine acetone and isoprene budgets if extrapolated to global SAR11 populations. Homologues of an acetone/cyclohexanone monooxygenase were identified in the HTCC1062 genome and in the genomes of a wide variety of other abundant marine taxa, and were expressed at substantial levels (c. 10(-4) of transcripts) across TARA oceans metatranscriptomes from ocean surface samples. The HTCC1062 genome lacks the canonical isoprene degradation pathway, suggesting an unknown alternative biochemical pathway is used by these cells for isoprene uptake. Fosmidomycin, an inhibitor of bacterial isoprenoid biosynthesis, blocked HTCC1062 growth, but the cells were rescued when isoprene was added to the culture, indicating SAR11 cells may be capable of synthesizing isoprenoid compounds from exogenous isoprene.
C1 [Moore, Eric R.; Weaver, Alec J.; Davis, Edward W.; Giovannoni, Stephen J.; Halsey, Kimberly H.] Oregon State Univ, Dept Microbiol, 226 Nash Hall, Corvallis, OR 97331 USA.
[Halsey, Kimberly H.] Los Alamos Natl Lab, Biosci Div, Los Alamos, NM 87545 USA.
RP Halsey, KH (corresponding author), Oregon State Univ, Dept Microbiol, 226 Nash Hall, Corvallis, OR 97331 USA.; Halsey, KH (corresponding author), Los Alamos Natl Lab, Biosci Div, Los Alamos, NM 87545 USA.
EM halseyk@science.oregonstate.edu
CR Acuna Alvarez L, 2009, ENVIRON MICROBIOL, V11, P3280, DOI 10.1111/j.1462-2920.2009.02069.x
Andreae MO, 1997, SCIENCE, V276, P1052, DOI 10.1126/science.276.5315.1052
Beale R, 2015, MAR CHEM, V171, P96, DOI 10.1016/j.marchem.2015.02.013
Beale R, 2013, J GEOPHYS RES-OCEANS, V118, P5412, DOI 10.1002/jgrc.20322
Bonsang B, 2010, ENVIRON CHEM, V7, P554, DOI 10.1071/EN09156
Booge D, 2018, BIOGEOSCIENCES, V15, P649, DOI 10.5194/bg-15-649-2018
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
CHEN YCJ, 1988, J BACTERIOL, V170, P781, DOI 10.1128/jb.170.2.781-789.1988
Colomb A, 2008, J ENVIRON MONITOR, V10, P325, DOI 10.1039/b715312k
Davie-Martin CL, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.611870
Dawson RA, 2021, AQUAT MICROB ECOL, V87, P79, DOI 10.3354/ame01972
de Bruyn WJ, 2011, J PHOTOCH PHOTOBIO A, V226, P16, DOI 10.1016/j.jphotochem.2011.10.002
Dixon JL, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00243
Dixon JL, 2013, GEOPHYS RES LETT, V40, P4700, DOI 10.1002/grl.50922
DONOGHUE NA, 1975, EUR J BIOCHEM, V60, P1, DOI 10.1111/j.1432-1033.1975.tb20968.x
Dress AWM, 2008, ALGORITHM MOL BIOL, V3, DOI 10.1186/1748-7188-3-7
Fischer EV, 2012, GEOPHYS RES LETT, V39, DOI [10.1029/2011GL050086, 10.1029/2011gl050086]
Folkins I, 2000, J GEOPHYS RES-ATMOS, V105, P11585, DOI 10.1029/2000JD900067
Fraaije MW, 2005, APPL MICROBIOL BIOT, V66, P393, DOI 10.1007/s00253-004-1749-5
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2019, MBIO, V10, DOI 10.1128/mBio.00246-19
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Guenther AB, 2012, GEOSCI MODEL DEV, V5, P1471, DOI 10.5194/gmd-5-1471-2012
GUILLARD RR, 1962, CAN J MICROBIOL, V8, P229, DOI 10.1139/m62-029
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Hackenberg SC, 2017, GLOBAL BIOGEOCHEM CY, V31, P644, DOI 10.1002/2016GB005531
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
HARTMANS S, 1986, FEMS MICROBIOL LETT, V36, P155
Hausinger RP, 2007, J BACTERIOL, V189, P671, DOI 10.1128/JB.01578-06
Hense I, 2017, BIOGEOSCIENCES, V14, P403, DOI 10.5194/bg-14-403-2017
Johnston A, 2017, ENVIRON MICROBIOL, V19, P3526, DOI 10.1111/1462-2920.13842
Katoh Kazutaka, 2013, Mol Biol Evol, V30, P772, DOI 10.1093/molbev/mst010
KIEBER RJ, 1990, LIMNOL OCEANOGR, V35, P1503, DOI 10.4319/lo.1990.35.7.1503
Kotani T, 2007, J BACTERIOL, V189, P886, DOI 10.1128/JB.01054-06
Lemoine F, 2019, NUCLEIC ACIDS RES, V47, pW260, DOI 10.1093/nar/gkz303
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
LEVINE S, 1952, J BACTERIOL, V64, P645, DOI 10.1002/path.1700640325
Liakakou E, 2007, ATMOS ENVIRON, V41, P1002, DOI 10.1016/j.atmosenv.2006.09.034
McGenity TJ, 2018, ISME J, V12, P931, DOI 10.1038/s41396-018-0072-6
McKay WA, 1996, ATMOS ENVIRON, V30, P2583, DOI 10.1016/1352-2310(95)00433-5
Moore ER, 2020, ENVIRON MICROBIOL, V22, P1720, DOI 10.1111/1462-2920.14861
MOPPER K, 1991, NATURE, V353, P60, DOI 10.1038/353060a0
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Müller JF, 1999, J GEOPHYS RES-ATMOS, V104, P1705, DOI 10.1029/1998JD100005
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Palmer PI, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022592
PATEL RN, 1982, APPL ENVIRON MICROB, V44, P1130, DOI 10.1128/AEM.44.5.1130-1137.1982
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Sander R, 2015, ATMOS CHEM PHYS, V15, P4399, DOI 10.5194/acp-15-4399-2015
Shaw SL, 2003, MAR CHEM, V80, P227, DOI 10.1016/S0304-4203(02)00101-9
SINGH HB, 1994, J GEOPHYS RES-ATMOS, V99, P1805, DOI 10.1029/93JD00764
Sinha V, 2007, ATMOS CHEM PHYS, V7, P739, DOI 10.5194/acp-7-739-2007
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
TAYLOR DG, 1980, J GEN MICROBIOL, V118, P159
Villar E, 2018, NUCLEIC ACIDS RES, V46, pW289, DOI 10.1093/nar/gky376
Vlieg JETV, 2000, J BACTERIOL, V182, P1956, DOI 10.1128/JB.182.7.1956-1963.2000
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Yang Jianyi, 2015, Curr Protoc Bioinformatics, V52, DOI 10.1002/0471250953.bi0508s52
Yang M, 2014, ATMOS CHEM PHYS, V14, P7499, DOI 10.5194/acp-14-7499-2014
Zhao LS, 2013, ANNU REV BIOCHEM, V82, P497, DOI 10.1146/annurev-biochem-052010-100934
NR 66
TC 11
Z9 11
PD JAN
PY 2022
VL 24
IS 1
BP 212
EP 222
DI 10.1111/1462-2920.15837
EA NOV 2021
UT WOS:000723454300001
DA 2025-07-30
ER
PT J
AU Tucker, SJ
Freel, KC
Monaghan, EA
Sullivan, CES
Ramfelt, O
Rii, YM
Rappé, MS
AF Tucker, Sarah J.
Freel, Kelle C.
Monaghan, Elizabeth A.
Sullivan, Clarisse E. S.
Ramfelt, Oscar
Rii, Yoshimi M.
Rappe, Michael S.
TI Spatial and temporal dynamics of SAR11 marine bacteria across a
nearshore to offshore transect in the tropical Pacific Ocean
SO PEERJ
DT Article
AB Surveys of microbial communities across transitions coupled with contextual measures of the environment provide a useful approach to dissect the factors determining distributions of microorganisms across ecological niches. Here, monthly time-series samples of surface seawater along a transect spanning the nearshore coastal environment within Kane.ohe Bay on the island of O.ahu, Hawai.i, and the adjacent offshore environment were collected to investigate the diversity and abundance of SAR11 marine bacteria (order Pelagibacterales) over a 2-year time period. Using 16S ribosomal RNA gene amplicon sequencing, the spatiotemporal distributions of major SAR11 subclades and exact amplicon sequence variants (ASVs) were evaluated. Seven of eight SAR11 subclades detected in this study showed distinct subclade distributions across the coastal to offshore environments. The SAR11 community was dominated by seven (of 106 total) SAR11 ASVs that made up an average of 77% of total SAR11. These seven ASVs spanned five different SAR11 subclades (Ia, Ib, IIa, IV, and Va), and were recovered from all samples collected from either the coastal environment, the offshore, or both. SAR11 ASVs were more often restricted spatially to coastal or offshore environments (64 of 106 ASVs) than they were shared among coastal, transition, and offshore environments (39 of 106 ASVs). Overall, offshore SAR11 communities contained a higher diversity of SAR11 ASVs than their nearshore counterparts, with the highest diversity within the little-studied subclade IIa. This study reveals ecological differentiation of SAR11 marine bacteria across a short physiochemical gradient, further increasing our understanding of how SAR11 genetic diversity partitions into distinct ecological units.
C1 [Tucker, Sarah J.; Freel, Kelle C.; Monaghan, Elizabeth A.; Sullivan, Clarisse E. S.; Ramfelt, Oscar; Rii, Yoshimi M.; Rappe, Michael S.] Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI 96822 USA.
[Tucker, Sarah J.; Monaghan, Elizabeth A.] Univ Hawaii Manoa, Marine Biol Grad Program, Honolulu, HI 96822 USA.
[Sullivan, Clarisse E. S.; Ramfelt, Oscar] Univ Hawaii Manoa, Dept Oceanog, Sch Ocean & Earth Sci & Technol, Honolulu, HI 96822 USA.
[Rii, Yoshimi M.] Heeia Natl Estuarine Res Reserve, Kaneohe, HI USA.
RP Rappé, MS (corresponding author), Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI 96822 USA.
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Bahr KD, 2015, PEERJ, V3, DOI 10.7717/peerj.950
Barbera P, 2019, SYST BIOL, V68, P365, DOI 10.1093/sysbio/syy054
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Becker JW, 2007, MANUAL OF ENVIRONMENTAL MICROBIOLOGY, 3RD ED, P399
Biller SJ, 2014, SCI DATA, V1, DOI 10.1038/sdata.2014.34
Braakman R, 2017, P NATL ACAD SCI USA, V114, pE3091, DOI 10.1073/pnas.1619573114
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Bryant JA, 2016, ISME J, V10, P1308, DOI 10.1038/ismej.2015.221
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chase AB, 2018, ENVIRON MICROBIOL, V20, P4112, DOI 10.1111/1462-2920.14405
Chevrette MG, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02170
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Cohan FM, 2006, PHILOS T R SOC B, V361, P1985, DOI 10.1098/rstb.2006.1918
Cox EF, 2006, MAR ECOL PROG SER, V324, P19, DOI 10.3354/meps324019
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Czech L, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217050
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
DOTY M. S., 1956, JOUR CONSEIL PERM INTERNATL EXPLOR MER, V22, P33
Douglas GM, [No title captured]
Eddelbuettel D, 2019, STAT METHODS ANAL MU
Eiler A, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00140
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2019, MBIO, V10, DOI 10.1128/mBio.00246-19
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gove JM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10581
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Hellweger FL, 2014, SCIENCE, V345, P1346, DOI 10.1126/science.1254421
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Hothorn T, 2008, BIOMETRICAL J, V50, P346, DOI 10.1002/bimj.200810425
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Koeppel A, 2008, P NATL ACAD SCI USA, V105, P2504, DOI 10.1073/pnas.0712205105
Kolde R, 2019, R Package Version
Kopac S, 2014, APPL ENVIRON MICROB, V80, P4842, DOI 10.1128/AEM.00576-14
Kozlov AM, 2019, BIOINFORMATICS, V35, P4453, DOI 10.1093/bioinformatics/btz305
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Manrique JM, 2017, MOL PHYLOGENET EVOL, V107, P324, DOI 10.1016/j.ympev.2016.11.015
Martinez Arbizu P., 2020, PAIRWISEADONIS PAIRW
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mende DR, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02273
Meziti A, 2015, SYST APPL MICROBIOL, V38, P358, DOI 10.1016/j.syapm.2015.04.003
Monaghan EA, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00954-20
MONGER BC, 1993, APPL ENVIRON MICROB, V59, P905, DOI 10.1128/AEM.59.3.905-911.1993
Moore ER, 2020, ENVIRON MICROBIOL, V22, P1720, DOI 10.1111/1462-2920.14861
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Muñoz-Gómez SA, 2019, ELIFE, V8, DOI [10.7554/elife.42535, 10.7554/eLife.42535]
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Oksanen, 2022, VEGAN COMMUNITY ECOL
Oliveros JC., 2017, 2007 2015 VENNY INTE
Ortmann AC, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw133
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Partensky F., 1999, MARINE CYANOBACTERIA, V19, P457, DOI DOI 10.1525/BIO.2011.61.10.3
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2018, R LANG ENV STAT COMP
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sievert C., 2013, plotly for R
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Thompson LR, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00369-19
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tsementzi D, 2019, SYST APPL MICROBIOL, V42, P495, DOI 10.1016/j.syapm.2019.03.007
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wang Z, 2019, ENVIRON MICROBIOL, V21, P3862, DOI 10.1111/1462-2920.14734
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
NR 91
TC 6
Z9 7
PD NOV 4
PY 2021
VL 9
AR e12274
DI 10.7717/peerj.12274
UT WOS:000718109500005
DA 2025-07-30
ER
PT J
AU Bennett, BD
Meier, DAO
Lanclos, VC
Asrari, H
Coates, JD
Thrash, JC
AF Bennett, Brittany D.
Meier, David A. O.
Lanclos, V. Celeste
Asrari, Hasti
Coates, John D.
Thrash, J. Cameron
TI Polyhydroxybutyrate production by freshwater SAR11 (LD12)
SO ISME JOURNAL
DT Article
AB SAR11 bacteria (order Pelagibacterales) are oligotrophs and often the most abundant bacterioplankton in aquatic environments. A subset of sequenced SAR11 genomes, predominantly in the brackish and freshwater SAR11 subclades, contain homologs of pha genes, which in other organisms confer the ability to store carbon and energy via polyhydroxyalkanoate (PHA) polymers. Here, we investigated the relevance of PHA production to SAR11 biology. Phylogenetics showed that Pha proteins occurred on a long branch and provided evidence for origin at the common ancestor of the brackish IIIa and freshwater LD12 subclades, followed by horizontal transfer within SAR11. Using the LD12 representative "Candidatus Fonsibacter ubiquis" strain LSUCC0530, we found that many LSUCC0530 cells contained a single Nile red-staining granule, confirmed that the cells produced polyhydroxybutyrate, a common form of PHA, and estimated the total polyhydroxybutyrate content in the cells. We heterologously expressed the LSUCC0530 phaCAB locus in Escherichia coli, finding it to be functional and the likely origin of the polyhydroxybutyrate. We also determined that, irrespective of changes to carbon, nitrogen, and phosphorus concentrations, a similar fraction of LSUCC0530 cells generated polyhydroxybutyrate granules and expression of the phaCAB locus remained constant. We suggest that polyhydroxybutyrate synthesis in LSUCC0530 may be constitutively active due to the slow growth dynamics and minimal regulation that characterize SAR11 bacteria. This work characterizes polymer storage in SAR11, providing new insights into the likely fitness advantage for cells harboring this metabolism.
C1 [Bennett, Brittany D.; Lanclos, V. Celeste; Asrari, Hasti; Thrash, J. Cameron] Univ Southern Calif, Dept Biol Sci, 3616 Trousdale Pkwy, AHF 107, Los Angeles, CA 90089 USA.
[Meier, David A. O.; Coates, John D.] Univ Calif Berkeley, Dept Plant & Microbial Biol, Berkeley, CA 94720 USA.
RP Thrash, JC (corresponding author), Univ Southern Calif, Dept Biol Sci, 3616 Trousdale Pkwy, AHF 107, Los Angeles, CA 90089 USA.
EM thrash@usc.edu
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
ANDERSON AJ, 1990, MICROBIOL REV, V54, P450, DOI 10.1128/MMBR.54.4.450-472.1990
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Ballard D., 1987, Recent Advances in Mechanical and Synthetic Aspects of Polymers, V215, P293
BARHAM PJ, 1984, J MATER SCI, V19, P2781, DOI 10.1007/BF01026954
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Campbell BJ., 2022, bioRxiv
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
DEGELAU A, 1995, APPL MICROBIOL BIOT, V42, P653
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Muriel-Millán LF, 2014, APPL MICROBIOL BIOT, V98, P2173, DOI 10.1007/s00253-013-5407-7
Gervaise AL, 2016, JOVE-J VIS EXP, DOI 10.3791/54901
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Hoffmann N, 2005, BIOTECHNOL LETT, V27, P279, DOI 10.1007/s10529-004-8353-8
Juengert JR, 2018, BIO-PROTOCOL, V8, DOI 10.21769/BioProtoc.2748
Kalia VC, 2007, GENE, V389, P19, DOI 10.1016/j.gene.2006.09.010
KOVACH ME, 1995, GENE, V166, P175, DOI 10.1016/0378-1119(95)00584-1
Kutralam-Muniasamy G, 2017, FEMS MICROBIOL LETT, V364, DOI 10.1093/femsle/fnx135
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Lami R, 2019, QUORUM SENSING: MOLECULAR MECHANISM AND BIOTECHNOLOGICAL APPLICATION, P55, DOI 10.1016/B978-0-12-814905-8.00003-4
Lanclos VC, 2023, ISME J, V17, P620, DOI 10.1038/s41396-023-01376-2
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
LEE IY, 1995, FEMS MICROBIOL LETT, V131, P35, DOI 10.1111/j.1574-6968.1995.tb07750.x
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Madison LL, 1999, MICROBIOL MOL BIOL R, V63, P21, DOI 10.1128/MMBR.63.1.21-53.1999
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mason-Jones K, 2022, ISME J, V16, P617, DOI 10.1038/s41396-021-01110-w
Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
Mitra R, 2022, MICROB BIOTECHNOL, V15, P1446, DOI 10.1111/1751-7915.13915
Miyake M, 1997, J BACTERIOL, V179, P5009, DOI 10.1128/jb.179.16.5009-5013.1997
Mohanan N, 2019, FEMS MICROBIOL LETT, V366, DOI 10.1093/femsle/fnz223
Moradali MF, 2020, NAT REV MICROBIOL, V18, P195, DOI 10.1038/s41579-019-0313-3
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Neoh SZ, 2022, CURR RES BIOTECHNOL, V4, P87, DOI 10.1016/j.crbiot.2022.01.002
Noell SE, 2023, MICROBIOL MOL BIOL R, V87, DOI 10.1128/mmbr.00124-22
OEDING V, 1973, BIOCHEM J, V134, P239, DOI 10.1042/bj1340239
Oh S, 2016, ENV MICROBIOL REP, V8, P595, DOI 10.1111/1758-2229.12408
PEOPLES OP, 1989, J BIOL CHEM, V264, P15298
PEOPLES OP, 1987, J BIOL CHEM, V262, P97
Pohlmann A, 2006, NAT BIOTECHNOL, V24, P1257, DOI 10.1038/nbt1244
Raiger-Iustman LJ, 2008, FEMS MICROBIOL LETT, V284, P218, DOI 10.1111/j.1574-6968.2008.01203.x
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Savoie ER, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00276-21
Schindelin J, 2012, NAT METHODS, V9, P676, DOI [10.1038/nmeth.2019, 10.1038/NMETH.2019]
SCHLEGEL HG, 1961, NATURE, V191, P463, DOI 10.1038/191463a0
SENIOR PJ, 1973, BIOCHEM J, V134, P225, DOI 10.1042/bj1340225
Steinbüchel A, 2003, BIOCHEM ENG J, V16, P81, DOI 10.1016/S1369-703X(03)00036-6
STEINBUCHEL A, 1995, FEMS MICROBIOL LETT, V128, P219, DOI 10.1111/j.1574-6968.1995.tb07528.x
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
STOCKDALE H, 1968, J BACTERIOL, V95, P1798, DOI 10.1128/JB.95.5.1798-1803.1968
TIMM A, 1992, EUR J BIOCHEM, V209, P15, DOI 10.1111/j.1432-1033.1992.tb17256.x
Tribelli PM, 2010, J MOL MICROB BIOTECH, V19, P180, DOI 10.1159/000320261
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Williams TJ., 2011, Extremophiles Handbook, P1179, DOI [10.1007/978-4-431-53898-157, DOI 10.1007/978-4-431-53898-157]
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 70
TC 0
Z9 0
PD JAN
PY 2025
VL 19
IS 1
AR wraf087
DI 10.1093/ismejo/wraf087
UT WOS:001497011600001
DA 2025-07-30
ER
PT J
AU Vergin, KL
Tripp, HJ
Wilhelm, LJ
Denver, DR
Rappé, MS
Giovannoni, SJ
AF Vergin, Kevin L.
Tripp, H. James
Wilhelm, Larry J.
Denver, Dee R.
Rappe, Michael S.
Giovannoni, Stephen J.
TI High intraspecific recombination rate in a native population of
Candidatus Pelagibacter ubique (SAR11)
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Recombination is an important process in microbial evolution. Rates of recombination with extracellular DNA matter because models of microbial population structure are profoundly influenced by the degree to which recombination is occurring within the population. Low rates of recombination may be sufficient to ensure the lateral propagation of genes that have a high selective advantage without disrupting the clonal pattern of inheritance for other genes. High rates of recombination potentially can obscure clonal patterns, leading to linkage equilibrium, and give microbial populations a population genetic structure more akin to sexually interbreeding eukaryotic populations. We examined eight loci from nine strains of candidatus Pelagibacter ubique (SAR11), isolated from a single 2L niskin sample of natural seawater, for evidence of genetic recombination between strains. The Shimodaira-Hasegawa test revealed significant phylogenetic incongruence in seven of the genes, indicating that frequent recombination obscures phylogenetic signals from the linear inheritance of genes in this population. Statistical evidence for intragenic recombination was found for six loci. An informative sites matrix showed extensive evidence for a widespread breakdown of linkage disequilibrium. Although the mechanisms of genetic transfer in native SAR11 populations are unknown, we measured recombination rates, rho, that are much higher than point mutation rates, theta, as a source of genetic diversity in this clade. The eukaryotic model of species sharing a common pool of alleles is more apt for this SAR11 population than a strictly clonal model of inheritance in which allelic diversity is controlled by periodic selection.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
Oregon State Univ, Dept Zool, Corvallis, OR 97331 USA.
Univ Hawaii Manoa, SOEST, Hawaii Inst Marine Biol, Kaneohe, HI 96744 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM Steve.Giovannoni@oregonstate.edu
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Baldo L, 2006, MOL BIOL EVOL, V23, P437, DOI 10.1093/molbev/msj049
de Vries J, 2002, P NATL ACAD SCI USA, V99, P2094, DOI 10.1073/pnas.042263399
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Finkel SE, 2001, J BACTERIOL, V183, P6288, DOI 10.1128/JB.183.21.6288-6293.2001
Fraser C, 2007, SCIENCE, V315, P476, DOI 10.1126/science.1127573
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hallam SJ, 2006, P NATL ACAD SCI USA, V103, P18296, DOI 10.1073/pnas.0608549103
Haubold B, 2000, BIOINFORMATICS, V16, P847, DOI 10.1093/bioinformatics/16.9.847
Hey J, 1997, GENETICS, V145, P833
HUDSON RR, 1987, GENETICS, V116, P153
Jolley KA, 2001, BIOINFORMATICS, V17, P1230, DOI 10.1093/bioinformatics/17.12.1230
Kumar S, 2004, BRIEF BIOINFORM, V5, P150, DOI 10.1093/bib/5.2.150
LI WH, 1993, J MOL EVOL, V36, P96, DOI 10.1007/BF02407308
Lodders N, 2005, ENVIRON MICROBIOL, V7, P434, DOI 10.1111/j.1462-2920.2005.00730.x
Lynch M, 2003, SCIENCE, V302, P1401, DOI 10.1126/science.1089370
Martin DP, 2005, BIOINFORMATICS, V21, P260, DOI 10.1093/bioinformatics/bth490
Mau B, 2006, GENOME BIOL, V7, DOI 10.1186/gb-2006-7-5-r44
McVean G, 2002, GENETICS, V160, P1231
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Posada D, 2002, ANNU REV GENET, V36, P75, DOI 10.1146/annurev.genet.36.040202.111115
Posada D, 1998, BIOINFORMATICS, V14, P817, DOI 10.1093/bioinformatics/14.9.817
Pride D. T., 2000, SWAAP VERSION 1 0 0
Prudhomme M, 2002, P NATL ACAD SCI USA, V99, P2100, DOI 10.1073/pnas.032262999
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Rozas J, 2003, BIOINFORMATICS, V19, P2496, DOI 10.1093/bioinformatics/btg359
Sandkvist M, 2001, MOL MICROBIOL, V40, P271, DOI 10.1046/j.1365-2958.2001.02403.x
Shimodaira H, 1999, MOL BIOL EVOL, V16, P1114, DOI 10.1093/oxfordjournals.molbev.a026201
Skerker JM, 2001, P NATL ACAD SCI USA, V98, P6901, DOI 10.1073/pnas.121171698
Smith JM, 1998, MOL BIOL EVOL, V15, P590, DOI 10.1093/oxfordjournals.molbev.a025960
Spratt BG, 2001, CURR OPIN MICROBIOL, V4, P602, DOI 10.1016/S1369-5274(00)00257-5
Suerbaum S, 1998, P NATL ACAD SCI USA, V95, P12619, DOI 10.1073/pnas.95.21.12619
SWOFFORD DL, 2000, PAUP PHYLOGENETIC AN
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wakeley J, 1997, GENET RES, V69, P45, DOI 10.1017/S0016672396002571
Whitaker RJ, 2005, MOL BIOL EVOL, V22, P2354, DOI 10.1093/molbev/msi233
NR 42
TC 55
Z9 65
PD OCT
PY 2007
VL 9
IS 10
BP 2430
EP 2440
DI 10.1111/j.1462-2920.2007.01361.x
UT WOS:000249222600006
DA 2025-07-30
ER
PT J
AU Smith, DP
Nicora, CD
Carini, P
Lipton, MS
Norbeck, AD
Smith, RD
Giovannoni, SJ
AF Smith, Daniel P.
Nicora, Carrie D.
Carini, Paul
Lipton, Mary S.
Norbeck, Angela D.
Smith, Richard D.
Giovannoni, Stephen J.
TI Proteome Remodeling in Response to Sulfur Limitation in
"Candidatus Pelagibacter ubique"
SO MSYSTEMS
DT Article
AB The alphaproteobacterium "Candidatus Pelagibacter ubique" strain HTCC1062 and most other members of the SAR11 clade lack genes for assimilatory sulfate reduction, making them dependent on organosulfur compounds that occur naturally in seawater. To investigate how these cells adapt to sulfur limitation, batch cultures were grown in defined medium containing either limiting or nonlimiting amounts of dimethylsulfoniopropionate (DMSP) as the sole sulfur source. Protein and mRNA expression were measured before, during, and after the transition from exponential growth to stationary phase. Two distinct responses were observed, one as DMSP became exhausted and another as the cells acclimated to a sulfur-limited environment. The first response was characterized by increased transcription and translation of all "Ca. Pelagibacter ubique" genes downstream from the previously confirmed S-adenosyl methionine (SAM) riboswitches bhmT, mmuM, and metY. The proteins encoded by these genes were up to 33 times more abundant as DMSP became limiting. Their predicted function is to shunt all available sulfur to methionine. The secondary response, observed during sulfur-limited stationary phase, was a 6- to 10-fold increase in the transcription of the heme c shuttle-encoding gene ccmC and two small genes of unknown function (SAR11_1163 and SAR11_1164). This bacterium's strategy for coping with sulfur stress appears to be intracellular redistribution to support methionine biosynthesis rather than increasing organosulfur import. Many of the genes and SAM riboswitches involved in this response are located in a hypervariable genome region (HVR). One of these HVR genes, ordL, is located downstream from a conserved motif that evidence suggests is a novel riboswitch.
IMPORTANCE "Ca. Pelagibacter ubique" is a key driver of marine biogeochemistry cycles and a model for understanding how minimal genomes evolved in free-living anucleate organisms. This study explores the unusual sulfur acquisition strategy that has evolved in these cells, which lack assimilatory sulfate reduction and instead rely on reduced sulfur compounds found in oxic marine environments to meet their cellular quotas. Our findings demonstrate that the sulfur acquisition systems are constitutively expressed but the enzymatic steps leading to the essential sulfur-containing amino acid methionine are regulated by a unique array of riboswitches and genes, many of which are encoded in a rapidly evolving genome region. These findings support mounting evidence that streamlined cells have evolved regulatory mechanisms that minimize transcriptional switching and, unexpectedly, localize essential sulfur acquisition genes in a genome region normally associated with adaption to environmental variation.
C1 [Smith, Daniel P.; Carini, Paul; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Nicora, Carrie D.; Lipton, Mary S.; Norbeck, Angela D.; Smith, Richard D.] Pacific Northwest Natl Lab, Biol Sci Div, Richland, WA USA.
[Smith, Daniel P.] Baylor Coll Med, Dept Mol Virol & Microbiol, Houston, TX 77030 USA.
[Carini, Paul] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Albanesi D, 2005, J BACTERIOL, V187, P7631, DOI 10.1128/JB.187.22.7631-7638.2005
ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Axmann IM, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-9-r73
Bolten CJ, 2010, J MICROBIOL BIOTECHN, V20, P1196, DOI 10.4014/jmb.1002.02018
Bowman SEJ, 2008, NAT PROD REP, V25, P1118, DOI 10.1039/b717196j
BURGERMEISTER S, 1990, J GEOPHYS RES-ATMOS, V95, P20607, DOI 10.1029/JD095iD12p20607
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Choi SY, 2006, J BACTERIOL, V188, P5741, DOI 10.1128/JB.00443-06
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Davalos-Garcia M, 2001, J BACTERIOL, V183, P5870, DOI 10.1128/JB.183.20.5870-5876.2001
deMare F, 1996, NAT STRUCT BIOL, V3, P539, DOI 10.1038/nsb0696-539
Dobrindt U, 2004, NAT REV MICROBIOL, V2, P414, DOI 10.1038/nrmicro884
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Epshtein V, 2003, P NATL ACAD SCI USA, V100, P5052, DOI 10.1073/pnas.0531307100
Forquin MP, 2011, APPL ENVIRON MICROB, V77, P1449, DOI 10.1128/AEM.01708-10
Garrow TA, 1996, J BIOL CHEM, V271, P22831, DOI 10.1074/jbc.271.37.22831
Gilbert SD, 2008, NAT STRUCT MOL BIOL, V15, P177, DOI 10.1038/nsmb.1371
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Haller A, 2011, NAT CHEM BIOL, V7, P393, DOI [10.1038/nchembio.562, 10.1038/NCHEMBIO.562]
Hill RW, 1998, AQUAT MICROB ECOL, V14, P1, DOI 10.3354/ame014001
Hofacker IL, 2003, NUCLEIC ACIDS RES, V31, P3429, DOI 10.1093/nar/gkg599
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Hsiao WWL, 2005, PLOS GENET, V1, P540, DOI 10.1371/journal.pgen.0010062
KARSTEN U, 1990, BOT MAR, V33, P143, DOI 10.1515/botm.1990.33.2.143
Kempf B, 1998, ARCH MICROBIOL, V170, P319, DOI 10.1007/s002030050649
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kiene RP, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P337
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Kurihara S, 2005, J BIOL CHEM, V280, P4602, DOI 10.1074/jbc.M411114200
Lesniak J, 2003, PROTEIN SCI, V12, P2838, DOI 10.1110/ps.03375603
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Lumppio HL, 2001, J BACTERIOL, V183, P101, DOI 10.1128/JB.183.1.101-108.2001
Malin G, 1997, J PHYCOL, V33, P889, DOI 10.1111/j.0022-3646.1997.00889.x
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
McDaniel BAM, 2003, P NATL ACAD SCI USA, V100, P3083, DOI 10.1073/pnas.0630422100
Meyer B, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001514
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
Miller TR, 2004, APPL ENVIRON MICROB, V70, P3383, DOI 10.1128/AEM.70.6.3383-3391.2004
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Pasa-Tolic L, 2004, BIOTECHNIQUES, V37, P621, DOI 10.2144/04374RV01
Poiata E, 2009, RNA, V15, P2046, DOI 10.1261/rna.1824209
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Ren Q, 2001, J BIOL CHEM, V276, P32591, DOI 10.1074/jbc.M103058200
Rodionov DA, 2004, NUCLEIC ACIDS RES, V32, P3340, DOI 10.1093/nar/gkh659
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Scott C, 2007, FEMS MICROBIOL LETT, V267, P184, DOI 10.1111/j.1574-6968.2006.00575.x
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Sun J, 2016, NAT MICROBIOL
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Sztukowska M, 2002, MOL MICROBIOL, V44, P479, DOI 10.1046/j.1365-2958.2002.02892.x
Tralau T, 2007, J BACTERIOL, V189, P6743, DOI 10.1128/JB.00889-07
Tripp H.J., 2008, Protoc. Exch, DOI 10.10, 9-10.
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
TURNER SM, 1995, DEEP-SEA RES PT II, V42, P1059, DOI 10.1016/0967-0645(95)00066-Y
TURNER SM, 1988, LIMNOL OCEANOGR, V33, P364, DOI 10.4319/lo.1988.33.3.0364
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Vizcaíno JA, 2016, NUCLEIC ACIDS RES, V44, pD447, DOI 10.1093/nar/gkv1145
Wheeler PR, 2005, J BIOL CHEM, V280, P8069, DOI 10.1074/jbc.M412540200
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Winkler WC, 2005, ANNU REV MICROBIOL, V59, P487, DOI 10.1146/annurev.micro.59.030804.121336
WOLFE GV, 1994, MAR ECOL PROG SER, V111, P111, DOI 10.3354/meps111111
Wolfe GV, 1997, NATURE, V387, P894, DOI 10.1038/43168
Yang JY, 2015, NAT METHODS, V12, P7, DOI 10.1038/nmeth.3213
Yoch DC, 2002, APPL ENVIRON MICROB, V68, P5804, DOI 10.1128/AEM.68.12.5804-5815.2002
Zhang Z, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-344
NR 90
TC 17
Z9 18
PD JUL-AUG
PY 2016
VL 1
IS 4
AR e00068-16
DI 10.1128/mSystems.00068-16
UT WOS:000408191700008
DA 2025-07-30
ER
PT J
AU Getz, EW
Lanclos, VC
Kojima, CY
Cheng, C
Henson, MW
Schön, ME
Ettema, TJG
Faircloth, BC
Thrash, JC
AF Getz, Eric W.
Lanclos, V. Celeste
Kojima, Conner Y.
Cheng, Chuankai
Henson, Michael W.
Schon, Max Emil
Ettema, Thijs J. G.
Faircloth, Brant C.
Thrash, J. Cameron
TI The AEGEAN-169 clade of bacterioplankton is synonymous with SAR11
subclade V (HIMB59) and metabolically distinct
SO MSYSTEMS
DT Article
AB Bacterioplankton of the SAR11 clade are the most abundant marine microorganisms and consist of numerous subclades spanning order-level divergence (Pelagibacterales). The assignment of the earliest diverging subclade V (a.k.a. HIMB59) to the Pelagibacterales is highly controversial, with multiple recent phylogenetic studies placing them completely separate from SAR11. Other than through phylogenomics, subclade V has not received detailed examination due to limited genomes from this group. Here, we assessed the ecogenomic characteristics of subclade V to better understand the role of this group in comparison to the Pelagibacterales. We used a new isolate genome, recently released single-amplified genomes and metagenome-assembled genomes, and previously established SAR11 genomes to perform a comprehensive comparative genomics analysis. We paired this analysis with the recruitment of metagenomes spanning the open ocean, coastal, and brackish systems. Phylogenomics, average amino acid identity, and 16S rRNA gene phylogeny indicate that SAR11 subclade V is synonymous with the ubiquitous AEGEAN-169 clade and support the contention that this group represents a taxonomic family. AEGEAN-169 shared many bulk genome qualities with SAR11, such as streamlining and low GC content, but genomes were generally larger. AEGEAN-169 had overlapping distributions with SAR11 but was metabolically distinct from SAR11 in its potential to transport and utilize a broader range of sugars as well as in the transport of trace metals and thiamin. Thus, regardless of the ultimate phylogenetic placement of AEGEAN-169, these organisms have distinct metabolic capacities that likely allow them to differentiate their niche from canonical SAR11 taxa.
IMPORTANCE One goal of marine microbiologists is to uncover the roles various microorganisms are playing in biogeochemical cycles. Success in this endeavor relies on differentiating groups of microbes and circumscribing their relationships. An early-diverging group (subclade V) of the most abundant bacterioplankton, SAR11, has recently been proposed as a separate lineage that does not share a most recent common ancestor. But beyond phylogenetics, little has been done to evaluate how these organisms compare with SAR11. Our work leverages dozens of new genomes to demonstrate the similarities and differences between subclade V and SAR11. In our analysis, we also establish that subclade V is synonymous with a group of bacteria established from 16S rRNA gene sequences, AEGEAN-169. Subclade V/AEGEAN-169 has clear metabolic distinctions from SAR11 and their shared traits point to remarkable convergent evolution if they do not share a most recent common ancestor.
C1 [Getz, Eric W.; Lanclos, V. Celeste; Kojima, Conner Y.; Cheng, Chuankai; Thrash, J. Cameron] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
[Henson, Michael W.] Univ Chicago, Dept Geophys Sci, Chicago, IL USA.
[Schon, Max Emil] Uppsala Univ, Sci Life Lab, Dept Cell & Mol Biol, Uppsala, Sweden.
[Ettema, Thijs J. G.] Wageningen Univ & Res, Lab Microbiol, Wageningen, Netherlands.
[Faircloth, Brant C.] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA USA.
[Faircloth, Brant C.] Louisiana State Univ, Museum Nat Sci, Baton Rouge, LA USA.
RP Thrash, JC (corresponding author), Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
EM thrash@usc.edu
CR Acinas S.G., 2019, MICROBIOLOGY, DOI [10.1101/635680, DOI 10.1101/635680]
Acinas SG, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02112-2
Acker M, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2113386119
Ahmed MA, 2021, MICROBIOL RESOUR ANN, V10, DOI 10.1128/MRA.00262-21
Allen R, 2020, ENV MICROBIOL REP, V12, P377, DOI 10.1111/1758-2229.12844
Alneberg J, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.146
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Ballesteros JA, 2016, MOL BIOL EVOL, V33, P2481, DOI 10.1093/molbev/msw153
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Buessecker S, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31452-8
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chen IMA, 2019, NUCLEIC ACIDS RES, V47, pD666, DOI 10.1093/nar/gky901
Cheng CK, 2021, MICROBIOL RESOUR ANN, V10, DOI 10.1128/MRA.00296-21
Coimbra C, 2017, SYST APPL MICROBIOL, V40, P388, DOI 10.1016/j.syapm.2017.06.005
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eren AM, 2021, NAT MICROBIOL, V6, P3, DOI 10.1038/s41564-020-00834-3
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
FERRY JG, 1990, FEMS MICROBIOL LETT, V87, P377, DOI 10.1016/0378-1097(90)90482-6
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Getz EW, 2018, MBIO, V9, DOI 10.1128/mBio.01089-18
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haro-Moreno JM., 2023, MICROBIOLOGY, DOI [10.1101/2023.01.04.522823, DOI 10.1101/2023.01.04.522823]
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Hogle SL, 2016, APPL ENVIRON MICROB, V82, P1613, DOI 10.1128/AEM.03128-15
Igarashi K, 2010, PLANT PHYSIOL BIOCH, V48, P506, DOI 10.1016/j.plaphy.2010.01.017
Ito T., 1959, JPN J LIMNOL, V9, P119, DOI [10.3739/rikusui.20.119, DOI 10.3739/RIKUSUI.20.119]
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
Karl DM, 2021, PROG OCEANOGR, V195, DOI 10.1016/j.pocean.2021.102563
Kim S, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2102750118
Kletzin A, 1996, FEMS MICROBIOL REV, V18, P5, DOI 10.1111/j.1574-6976.1996.tb00226.x
Kojima CY, 2022, MICROBIOL RESOUR ANN, V11, DOI 10.1128/mra.00644-22
Korlevic M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-20954-6
Lanclos VC, 2023, ISME J, V17, P620, DOI 10.1038/s41396-023-01376-2
Langmead B., 2013, BOWTIE2 MANUAL
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
Li YY, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00797
Lu XX, 2015, ENV MICROBIOL REP, V7, P831, DOI 10.1111/1758-2229.12311
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Markowitz Victor M, 2008, Nucleic Acids Res, V36, pD534
Martijn J, 2018, NATURE, V557, P101, DOI 10.1038/s41586-018-0059-5
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Mou XZ, 2011, ENV MICROBIOL REP, V3, P798, DOI 10.1111/j.1758-2229.2011.00289.x
Muñoz-Gómez SA, 2019, ELIFE, V8, DOI [10.7554/elife.42535, 10.7554/eLife.42535]
Nishimura Y, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01392-5
Noell SE, 2021, MBIO, V12, DOI 10.1128/mBio.01091-21
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Paoli L, 2022, NATURE, V607, P111, DOI [10.1038/s41586-022-04862-3, 10.1393/ncc/i2022-22120-x]
Parks DH, 2022, NUCLEIC ACIDS RES, V50, pD785, DOI 10.1093/nar/gkab776
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
R Core Team, 2020, R: a language and environment for statistical computing
Rasmussen AN, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.01270-21
Reintjes G, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00184-19
Ruiz-Perez CA, 2021, SYST APPL MICROBIOL, V44, DOI 10.1016/j.syapm.2021.126185
Santic D, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90863-7
Savoie ER, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00276-21
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schlitzer R., 2002, Computers & Geosciences, V28, P1211, DOI 10.1016/S0098-3004(02)00040-7
Seemann T., 2017, BARRNAP BACTERIAL RI
Shaiber A, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02195-w
Steiner PA, 2019, ENV MICROBIOL REP, V11, P699, DOI 10.1111/1758-2229.12783
Tatusov RL, 2000, NUCLEIC ACIDS RES, V28, P33, DOI 10.1093/nar/28.1.33
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Thrash JC, 2015, Hydrocarbon and Lipid Microbiology Protocols, P57, DOI DOI 10.1007/8623_2015_67
TOLBERT NE, 1956, J BIOL CHEM, V222, P895
Tong F, 2021, AQUACULT ENV INTERAC, V13, P489, DOI 10.3354/aei00421
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
van Bleijswijk JDL, 2015, BIOGEOSCIENCES, V12, P4483, DOI 10.5194/bg-12-4483-2015
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Walker BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112963
WRIGHT RT, 1977, MAR BIOL, V43, P257, DOI 10.1007/BF00402318
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
Yarza P, 2014, NAT REV MICROBIOL, V12, P635, DOI 10.1038/nrmicro3330
NR 98
TC 7
Z9 7
PD JUN 29
PY 2023
VL 8
IS 3
DI 10.1128/msystems.00179-23
EA MAY 2023
UT WOS:001026276900001
DA 2025-07-30
ER
PT J
AU Noell, SE
Barrell, GE
Suffridge, C
Morré, J
Gable, KP
Graff, JR
VerWey, BJ
Hellweger, FL
Giovannoni, SJ
AF Noell, Stephen E.
Barrell, Gregory E.
Suffridge, Christopher
Morre, Jeff
Gable, Kevin P.
Graff, Jason R.
VerWey, Brian J.
Hellweger, Ferdi L.
Giovannoni, Stephen J.
TI SAR11 Cells Rely on Enzyme Multifunctionality To Metabolize a Range of
Polyamine Compounds
SO MBIO
DT Article
AB In the ocean surface layer and cell culture, the polyamine transport protein PotD of SAR11 bacteria is often one of the most abundant proteins detected. Polyamines are organic cations at seawater pH produced by all living organisms and are thought to be an important component of dissolved organic matter (DOM) produced in planktonic ecosystems. We hypothesized that SAR11 cells uptake and metabolize multiple poly amines and use them as sources of carbon and nitrogen. Metabolic footprinting and fin-gerprinting were used to measure the uptake of five polyamine compounds (putrescine, cadaverine, agmatine, norspermidine, and spermidine) in two SAR11 strains that represent the majority of SAR11 cells in the surface ocean environment, "Candidatus Pelagibacter" strain HTCC7211 and "Candidatus Pelagibacter ubique" strain HTCC1062. Both strains took up all five polyamines and concentrated them to micromolar or milli molar intracellular concentrations. Both strains could use most of the polyamines to meet their nitrogen requirements, but polyamines did not fully substitute for their requirements of glycine (or related compounds) or pyruvate (or related compounds). Our data suggest that potABCD transports all five polyamines and that spermidine synthase, speE, is reversible, catalyzing the breakdown of spermidine and norspermidine, in addition to its usual biosynthetic role. These findings provide support for the hypothesis that enzyme multifunctionality enables streamlined cells in planktonic ecosystems to increase the range of DOM compounds they metabolize.
IMPORTANCE Genome streamlining in SAR11 bacterioplankton has resulted in a small repertoire of genes, yet paradoxically, they consume a substantial fraction of primary production in the oceans. Enzyme multifunctionality, referring to enzymes that are adapted to have broader substrate and catalytic range than canonically defined, is hypothesized to be an adaptation that increases the range of organic compounds metabolized by cells in environments where selection favors genome minimization. We provide experimental support for this hypothesis by demonstrating that SAR11 cells take up and metabolize multiple polyamine compounds and propose that a small set of multifunctional enzymes catalyze this metabolism. We report that poly amine uptake rates can exceed metabolic rates, resulting in both high intracellular concentrations of these nitrogen-rich compounds (in comparison to native poly amine levels) and an increase in cell size.
C1 [Noell, Stephen E.; Barrell, Gregory E.; Suffridge, Christopher; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Morre, Jeff; Gable, Kevin P.] Oregon State Univ, Dept Chem, Gilbert Hall 153, Corvallis, OR 97331 USA.
[Graff, Jason R.; VerWey, Brian J.] Oregon State Univ, Dept Bot & Plant Pathol, Corvallis, OR 97331 USA.
[Hellweger, Ferdi L.] Berlin TU, Water Qual Engn, Berlin, Germany.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR BECKE AD, 1993, J CHEM PHYS, V98, P1372, DOI 10.1063/1.464304
Bosdriesz E, 2015, FEBS J, V282, P2394, DOI 10.1111/febs.13289
BOWMAN WH, 1973, J BIOL CHEM, V248, P2480
Braakman R, 2018, AGU FALL M
Bridoux MC, 2012, ORG GEOCHEM, V47, P9, DOI 10.1016/j.orggeochem.2012.02.010
Brochier C, 2004, GENE, V330, P169, DOI 10.1016/j.gene.2004.01.018
Brown N, 2014, REV ENVIRON SCI BIO, V13, P321, DOI 10.1007/s11157-014-9337-3
Burnat M, 2018, MOL MICROBIOL, V109, P763, DOI 10.1111/mmi.14006
BUSSE J, 1988, SYST APPL MICROBIOL, V11, P1
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chou HT, 2008, J BACTERIOL, V190, P1966, DOI 10.1128/JB.01804-07
DESA RJ, 1972, J BIOL CHEM, V247, P5527
DUNNING TH, 1989, J CHEM PHYS, V90, P1007, DOI 10.1063/1.456153
EADY RR, 1968, BIOCHEM J, V106, P245, DOI 10.1042/bj1060245
Espinosa-Cantú A, 2020, FRONT CELL DEV BIOL, V8, DOI 10.3389/fcell.2020.00451
Ferla MP, 2017, MOL MICROBIOL, V105, P508, DOI 10.1111/mmi.13737
Fiehn O, 2001, COMP FUNCT GENOM, V2, P155, DOI 10.1002/cfg.82
Francke C, 2005, TRENDS MICROBIOL, V13, P550, DOI 10.1016/j.tim.2005.09.001
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2019, MBIO, V10, DOI 10.1128/mBio.00246-19
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Graff JR, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00209
Green R, 2011, MOL MICROBIOL, V81, P1109, DOI 10.1111/j.1365-2958.2011.07757.x
GROSSOWICZ N, 1955, J GEN MICROBIOL, V13, P436, DOI 10.1099/00221287-13-3-436
Grover JP, 2009, AM NAT, V173, pE44, DOI 10.1086/595751
Guzmán GI, 2015, P NATL ACAD SCI USA, V112, P929, DOI 10.1073/pnas.1414218112
HAMANA K, 1982, J BIOCHEM, V91, P1321, DOI 10.1093/oxfordjournals.jbchem.a133818
Hamana K, 2004, J GEN APPL MICROBIOL, V50, P297, DOI 10.2323/jgam.50.297
Hehre WJ, 2014, SPARTAN
Hratchian HP, [No title captured]
Igarashi K, 1999, BIOCHEM J, V344, P633, DOI 10.1042/0264-6021:3440633
Kell DB, 2005, NAT REV MICROBIOL, V3, P557, DOI 10.1038/nrmicro1177
Khersonsky O, 2010, ANNU REV BIOCHEM, V79, P471, DOI 10.1146/annurev-biochem-030409-143718
Knorr S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07563-6
Krossa S, 2016, SCI REP-UK, V6, DOI 10.1038/srep19501
LARGE PJ, 1992, FEMS MICROBIOL LETT, V88, P249, DOI 10.1016/0378-1097(92)90806-Y
LEE CT, 1988, PHYS REV B, V37, P785, DOI 10.1103/PhysRevB.37.785
Lee J, 2009, J BIOL CHEM, V284, P9899, DOI 10.1074/jbc.M900110200
Lee MJ, 2005, PROTEIN EXPRES PURIF, V43, P140, DOI 10.1016/j.pep.2005.04.017
LEVIN GILBERT V., 1965, J WATER POLLUT CONTR FED, V37, P800
Liu Q, 2016, MAR ECOL PROG SER, V544, P93, DOI 10.3354/meps11583
Liu Q, 2015, BIOGEOCHEMISTRY, V123, P117, DOI 10.1007/s10533-014-0056-1
Longnecker K, 2015, MAR CHEM, V168, P114, DOI 10.1016/j.marchem.2014.11.003
Lu XX, 2020, ENV MICROBIOL REP, V12, P258, DOI 10.1111/1758-2229.12841
Lu XX, 2015, ENV MICROBIOL REP, V7, P831, DOI 10.1111/1758-2229.12311
Lu XX, 2014, MAR CHEM, V163, P36, DOI 10.1016/j.marchem.2014.04.004
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
McCarthy M, 1997, NATURE, V390, P150, DOI 10.1038/36535
Michael AJ, 2016, J BIOL CHEM, V291, P14896, DOI 10.1074/jbc.R116.734780
Molins-Legua C, 2005, ANAL CHIM ACTA, V546, P206, DOI 10.1016/j.aca.2005.05.021
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2015, ENVIRON MICROBIOL, V17, P876, DOI 10.1111/1462-2920.12550
Mou XZ, 2011, ENV MICROBIOL REP, V3, P798, DOI 10.1111/j.1758-2229.2011.00289.x
Mou XZ, 2010, AQUAT MICROB ECOL, V58, P311, DOI 10.3354/ame01367
Nishibori N, 2003, MAR CHEM, V82, P307, DOI 10.1016/S0304-4203(03)00076-8
Nishibori N, 2001, FISHERIES SCI, V67, P79, DOI 10.1046/j.1444-2906.2001.00202.x
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Norris N, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009023
Qian ZG, 2011, BIOTECHNOL BIOENG, V108, P93, DOI 10.1002/bit.22918
Qian ZG, 2009, BIOTECHNOL BIOENG, V104, P651, DOI 10.1002/bit.22502
R Core Team, 2018, R LANG ENV STAT COMP
Ray JCJ, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004825
Revelles O, 2005, J BACTERIOL, V187, P7500, DOI 10.1128/JB.187.21.7500-7510.2005
SATISHCHANDRAN C, 1986, J BACTERIOL, V165, P843, DOI 10.1128/jb.165.3.843-848.1986
Schulien JA, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00493
Shah P, 2008, MOL MICROBIOL, V68, P4, DOI 10.1111/j.1365-2958.2008.06126.x
Shaw FL, 2010, J BIOL CHEM, V285, P14711, DOI 10.1074/jbc.M110.107219
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
STEPHENS PJ, 1994, J PHYS CHEM-US, V98, P11623, DOI 10.1021/j100096a001
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tomasi J, 2005, CHEM REV, V105, P2999, DOI 10.1021/cr9904009
VOSKO SH, 1980, CAN J PHYS, V58, P1200, DOI 10.1139/p80-159
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Wortham BW, 2007, ADV EXP MED BIOL, V603, P106
Wotanis CK, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0186291
WU WH, 1973, J BIOL CHEM, V248, P1687
Yoshida M, 2004, J BIOL CHEM, V279, P46008, DOI 10.1074/jbc.M404393200
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
NR 85
TC 14
Z9 14
PD JUL-AUG
PY 2021
VL 12
IS 4
AR e01091-21
DI 10.1128/mBio.01091-21
UT WOS:000693469500001
DA 2025-07-30
ER
PT J
AU Martinez-Hernandez, F
Garcia-Heredia, I
Gomez, ML
Maestre-Carballa, L
Martínez, JM
Martinez-Garcia, M
AF Martinez-Hernandez, Francisco
Garcia-Heredia, Inmaculada
Liuesma Gomez, Monica
Maestre-Carballa, Lucia
Martinez, Joaquin Martinez
Martinez-Garcia, Manuel
TI Droplet Digital PCR for Estimating Absolute Abundances of Widespread
Pelagibacter Viruses
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Absolute abundances of prokaryotes are typically determined by FISH. Due to the lack of a universal conserved gene among all viruses, metagenomic fragment recruitment is commonly used to estimate the relative viral abundance. However, the paucity of absolute virus abundance data hinders our ability to fully understand how viruses drive global microbial populations. The cosmopolitan marine Pelagibacter ubique is host for the highly widespread HTVC010P pelagiphage isolate and the extremely abundant uncultured virus vSAG 37-F6 recently discovered by single-virus genomics. Here we applied droplet digital PCR (ddPCR) to calculate the absolute abundance of these pelagiphage genotypes in the Mediterranean Sea and the Gulf of Maine. Abundances were between 360 and 8,510 virus mL-1 and 1,270-14,400 virus mL-1 for vSAG 37-F6 and HTVC010P, respectively. Illumina PCR-amplicon sequencing corroborated the absence of ddPCR non-specific amplifications for vSAG 37-F6, but showed an overestimation of 6% for HTVC010P from off-targets, genetically unrelated viruses. Absolute abundances of both pelagiphages, two of the most abundance marine viruses, suggest a large viral pelagiphage diversity in marine environments, and show the efficiency and power of ddPCR to disentangle the structure of marine viral communities. Results also highlight the need for a standardized workflow to obtain accurate quantification that allows cross data comparison.
C1 [Martinez-Hernandez, Francisco; Garcia-Heredia, Inmaculada; Liuesma Gomez, Monica; Maestre-Carballa, Lucia; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
[Martinez, Joaquin Martinez] Bigelow Lab Ocean Sci, Marine Virol Lab, East Boothbay, ME USA.
RP Martinez-Garcia, M (corresponding author), Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
EM m.martinez@ua.es
CR Ågren J, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039107
Allers E, 2013, ENVIRON MICROBIOL, V15, P2306, DOI 10.1111/1462-2920.12100
Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Baran N, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0045-y
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bosman KJ, 2015, SCI REP-UK, V5, DOI 10.1038/srep13811
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Bustin SA, 2009, CLIN CHEM, V55, P611, DOI 10.1373/clinchem.2008.112797
Cai LL, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136741
Cashdollar JL, 2013, J APPL MICROBIOL, V115, P1, DOI 10.1111/jam.12143
Cook L, 2009, DIAGN MICR INFEC DIS, V64, P37, DOI 10.1016/j.diagmicrobio.2009.01.003
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
DeLong EE, 2001, SYST BIOL, V50, P470, DOI 10.1080/10635150118513
Edwards RA, 2005, NAT REV MICROBIOL, V3, P504, DOI 10.1038/nrmicro1163
Eggleston EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01534
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Espy MJ, 2006, CLIN MICROBIOL REV, V19, P165, DOI 10.1128/CMR.19.1.165-256.2006
Gilg IC, 2016, MAR ECOL PROG SER, V555, P13, DOI 10.3354/meps11805
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hurwitz BL, 2013, ENVIRON MICROBIOL, V15, P1428, DOI 10.1111/j.1462-2920.2012.02836.x
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kiselinova M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085999
Klenner J, 2017, METAGENOMICS: CURRENT ADVANCES AND EMERGING CONCEPTS, P59, DOI 10.21775/9781910190593.04
Koontz D, 2015, J CLIN VIROL, V66, P95, DOI 10.1016/j.jcv.2015.03.015
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Lara E, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602565
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Pagarete A, 2014, VIROLOGY, V466, P129, DOI 10.1016/j.virol.2014.05.020
Pinheiro LB, 2012, ANAL CHEM, V84, P1003, DOI 10.1021/ac202578x
Racki N, 2014, ANAL BIOANAL CHEM, V406, P661, DOI 10.1007/s00216-013-7476-y
Roux S, 2017, PEERJ, V5, DOI 10.7717/peerj.3817
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schwartz SL, 2016, J VIROL METHODS, V237, P159, DOI 10.1016/j.jviromet.2016.08.023
Sedji MI, 2018, ENVIRON SCI POLLUT R, V25, P30497, DOI 10.1007/s11356-018-3045-4
Sedlak RH, 2014, EXPERT REV MOL DIAGN, V14, P501, DOI 10.1586/14737159.2014.910456
Stachler E, 2019, ENVIRON SCI TECH LET, V6, P216, DOI 10.1021/acs.estlett.9b00130
Steward GF, 2000, LIMNOL OCEANOGR, V45, P1697, DOI 10.4319/lo.2000.45.8.1697
Strain MC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055943
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Trypsteen W, 2016, J VIRUS ERAD, V2, P162
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vynck M, 2016, MOL DIAGN THER, V20, P437, DOI 10.1007/s40291-016-0224-1
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Winter C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100600
Wommack KE, 1999, APPL ENVIRON MICROB, V65, P231
Ye J, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-134
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhou J, 2018, MICROB ECOL, V76, P592, DOI 10.1007/s00248-018-1150-z
NR 62
TC 27
Z9 29
PD JUN 12
PY 2019
VL 10
AR 1226
DI 10.3389/fmicb.2019.01226
UT WOS:000471155200002
DA 2025-07-30
ER
PT J
AU Brown, MV
Lauro, FM
DeMaere, MZ
Muir, L
Wilkins, D
Thomas, T
Riddle, MJ
Fuhrman, JA
Andrews-Pfannkoch, C
Hoffman, JM
McQuaid, JB
Allen, A
Rintoul, SR
Cavicchioli, R
AF Brown, Mark V.
Lauro, Federico M.
DeMaere, Matthew Z.
Muir, Les
Wilkins, David
Thomas, Torsten
Riddle, Martin J.
Fuhrman, Jed A.
Andrews-Pfannkoch, Cynthia
Hoffman, Jeffrey M.
McQuaid, Jeffrey B.
Allen, Andrew
Rintoul, Stephen R.
Cavicchioli, Ricardo
TI Global biogeography of SAR11 marine bacteria
SO MOLECULAR SYSTEMS BIOLOGY
DT Article
AB The ubiquitous SAR11 bacterial clade is the most abundant type of organism in the world's oceans, but the reasons for its success are not fully elucidated. We analysed 128 surface marine metagenomes, including 37 new Antarctic metagenomes. The large size of the data set enabled internal transcribed spacer (ITS) regions to be obtained from the Southern polar region, enabling the first global characterization of the distribution of SAR11, from waters spanning temperatures - 2 to 30 degrees C. Our data show a stable co-occurrence of phylotypes within both 'tropical' (>20 degrees C) and 'polar' (<10 degrees C) biomes, highlighting ecological niche differentiation between major SAR11 subgroups. All phylotypes display transitions in abundance that are strongly correlated with temperature and latitude. By assembling SAR11 genomes from Antarctic metagenome data, we identified specific genes, biases in gene functions and signatures of positive selection in the genomes of the polar SAR11-genomic signatures of adaptive radiation. Our data demonstrate the importance of adaptive radiation in the organism's ability to proliferate throughout the world's oceans, and describe genomic traits characteristic of different phylotypes in specific marine biomes. Molecular Systems Biology 8: 595; published online 17 July 2012; doi:10.1038/msb.2012.28 Subject Categories: cellular metabolism; microbiology & pathogens
C1 [Brown, Mark V.; Lauro, Federico M.; DeMaere, Matthew Z.; Wilkins, David; Thomas, Torsten; Cavicchioli, Ricardo] Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
[Brown, Mark V.] Univ New S Wales, Evolut & Ecol Res Ctr, Sydney, NSW, Australia.
[Rintoul, Stephen R.] CSIRO Marine & Atmospher Res, Ctr Australian Weather & Climate Res, Hobart, Tas, Australia.
[Thomas, Torsten] Univ New S Wales, Ctr Marine Bioinnovat, Sydney, NSW, Australia.
[Riddle, Martin J.] Australian Antarct Div, Kingston, Tas, Australia.
[Fuhrman, Jed A.] Univ So Calif, Dept Biol Sci, Wrigley Inst Environm Studies, Los Angeles, CA 90089 USA.
[Andrews-Pfannkoch, Cynthia; Hoffman, Jeffrey M.; McQuaid, Jeffrey B.; Allen, Andrew] J Craig Venter Inst, Rockville, MD USA.
[Rintoul, Stephen R.] Antarct Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas, Australia.
RP Cavicchioli, R (corresponding author), Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
EM r.cavicchioli@unsw.edu.au
CR Allen MA, 2009, ISME J, V3, P1012, DOI 10.1038/ismej.2009.45
[Anonymous], SPECIAL REPORT EMISS
BENZ R, 1989, BIOCHIM BIOPHYS ACTA, V981, P8, DOI 10.1016/0005-2736(89)90075-8
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Carty SM, 1999, J BIOL CHEM, V274, P9677, DOI 10.1074/jbc.274.14.9677
Carver TJ, 2005, BIOINFORMATICS, V21, P3422, DOI 10.1093/bioinformatics/bti553
Clarke K.R., 2006, PRIMER V6 USER MANUA, P192
DeMaere MZ, 2011, BIOINFORMATICS, V27, P2431, DOI 10.1093/bioinformatics/btr411
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
EISENBERG D, 1984, P NATL ACAD SCI-BIOL, V81, P140, DOI 10.1073/pnas.81.1.140
Felsenstein Joseph, 1993, PHYLIP (Phylogeny Inference Package) version 3.5c
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Goris J, 2007, INT J SYST EVOL MICR, V57, P81, DOI 10.1099/ijs.0.64483-0
HOPP TP, 1983, MOL IMMUNOL, V20, P483, DOI 10.1016/0161-5890(83)90029-9
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Lauro FM, 2008, J BACTERIOL, V190, P1699, DOI 10.1128/JB.01176-07
Lauro FM, 2011, ISME J, V5, P879, DOI 10.1038/ismej.2010.185
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
NEI M, 1986, MOL BIOL EVOL, V3, P418
Ng C, 2010, ISME J, V4, P1002, DOI 10.1038/ismej.2010.28
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Oliva MA, 2004, NAT STRUCT MOL BIOL, V11, P1243, DOI 10.1038/nsmb855
Phillippy AM, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-3-r55
Rankin L M., 1999, Polarforschung, V66, P35
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schatz MC, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-3-r34
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
SHIAH FK, 1994, LIMNOL OCEANOGR, V39, P1243, DOI 10.4319/lo.1994.39.6.1243
Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun SL, 2011, NUCLEIC ACIDS RES, V39, pD546, DOI 10.1093/nar/gkq1102
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tomczak M., 1994, REGIONAL OCEANOGRAPH, DOI 10.1016/B978-0-08-041021-0.50003-5
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Wall Dennis P., 2007, V396, P95
WIEBE WJ, 1992, APPL ENVIRON MICROB, V58, P359, DOI 10.1128/AEM.58.1.359-364.1992
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williams TJ, 2010, J PROTEOME RES, V9, P640, DOI 10.1021/pr900509n
Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
NR 53
TC 182
Z9 208
PD JUL
PY 2012
VL 8
AR 595
DI 10.1038/msb.2012.28
UT WOS:000307174800005
DA 2025-07-30
ER
PT J
AU Haro-Moreno, JM
López-Pérez, M
Molina-Pardines, C
Rodriguez-Valera, F
AF Haro-Moreno, Jose M.
Lopez-Perez, Mario
Molina-Pardines, Carmen
Rodriguez-Valera, Francisco
TI Large diversity in the O-chain biosynthetic cluster within populations
of Pelagibacterales
SO MBIO
DT Article
AB Genomic diversity in prokaryotic species is largely due to the existence of extensive pangenomes, allowing different gene complements to be drawn depend ing on the strain. Here, we have studied the diversity of the O-chain polysaccharide biosynthesis cluster (OBC) in marine bacteria of the Pelagibacterales order as a proxy to measure such genetic diversity in a single population. The study of single-ampli fied genomes (SAGs) from the whole order found a pattern similar to that of other well-studied microbes, such as the Enterobacteriales or Alteromonas, where distinct OBCs represent strains containing different gene pools. We found that most of the OBC sharing happened among individuals of the same clonal frame (>99% average nucleotide identity). Moreover, given the parsimonious way this cluster changes, the diversity of the OBCs can be extrapolated to the size of the population's pangenome. This assumes that different OBCs correspond to lineages containing unique flexible gene pools, as seen in the aforementioned microbes. Through long-read metagenomics, we could detect 380 different OBCs at a single Mediterranean sampling site. Within a single population (single species and sample) of the endemic Ia.3/VII (gMED) genomospecies, we identified 158 OBCs, of which 130 were unique. These findings suggest that the gene pool within a single population might be substantial (several thousands). While this figure is large, it aligns with the complexity of the dissolved organic matter that these organisms can potentially degrade.
C1 [Haro-Moreno, Jose M.; Lopez-Perez, Mario; Molina-Pardines, Carmen; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain.
EM frvalera@umh.es
CR Abedon ST., 2022, BACTERIOPHAGES DRIVE, P275
Abram K, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-020-01626-5
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Baker BJ, 2024, J BACTERIOL, V206, DOI 10.1128/jb.00228-24
Barco RA, 2020, MBIO, V11, DOI 10.1128/mBio.02475-19
Bérénos C, 2011, P ROY SOC B-BIOL SCI, V278, P218, DOI 10.1098/rspb.2010.1211
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Bolanos LM, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00198-1
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Chao A, 2014, ECOL MONOGR, V84, P45, DOI 10.1890/13-0133.1
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Comeron JM, 1995, J MOL EVOL, V41, P1152, DOI 10.1007/BF00173196
Costea PI, 2017, MOL SYST BIOL, V13, DOI 10.15252/msb.20177589
da Silva AC, 2018, FRONT GENET, V9, DOI 10.3389/fgene.2018.00619
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
DETEJADA GM, 1995, INFECT IMMUN, V63, P3054
Dittmar T, 2021, NAT REV EARTH ENV, V2, P570, DOI 10.1038/s43017-021-00183-7
Drost HG, 2015, MOL BIOL EVOL, V32, P1221, DOI 10.1093/molbev/msv012
Truong DT, 2017, GENOME RES, V27, P626, DOI 10.1101/gr.216242.116
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
France M, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.00893-22
Gao YN, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn1916
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gokhale CS, 2009, J THEOR BIOL, V259, P613, DOI 10.1016/j.jtbi.2009.04.011
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Haro-Moreno JM, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.708782
Haro-Moreno JM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02926
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Holt KE, 2020, ISME J, V14, P1713, DOI 10.1038/s41396-020-0628-0
Hsieh TC, 2016, METHODS ECOL EVOL, V7, P1451, DOI 10.1111/2041-210X.12613
Hu DL, 2022, CELL REP, V38, DOI 10.1016/j.celrep.2021.110239
Huang YM, 2023, NAT BIOTECHNOL, V41, P1424, DOI 10.1038/s41587-023-01674-2
Huszczynski SM, 2020, PATHOGENS, V9, DOI 10.3390/pathogens9010006
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kalynych S, 2014, FEMS MICROBIOL REV, V38, P1048, DOI 10.1111/1574-6976.12070
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
KAUFFMANN F, 1947, J IMMUNOL, V57, P71
Kenyon JJ, 2017, FEMS MICROBIOL REV, V41, P200, DOI 10.1093/femsre/fux002
Knirel YA, 2019, INT J BIOL MACROMOL, V124, P389, DOI 10.1016/j.ijbiomac.2018.11.149
Konstantinidis KT, 2023, MLIFE, V2, P341, DOI 10.1002/mlf2.12088
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Layoun P, 2024, ISME J, V18, DOI 10.1093/ismejo/wrad036
Lerouge I, 2002, FEMS MICROBIOL REV, V26, P17, DOI 10.1111/j.1574-6976.2002.tb00597.x
Letarov AV, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms242417390
Letunic I, 2011, NUCLEIC ACIDS RES, V39, pW475, DOI [10.1093/nar/gkr201, 10.1093/nar/gkr931]
Liu B, 2020, FEMS MICROBIOL REV, V44, P655, DOI 10.1093/femsre/fuz028
Liu B, 2014, FEMS MICROBIOL REV, V38, P56, DOI 10.1111/1574-6976.12034
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.01041-20
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
López-Pérez M, 2014, FRONT GENET, V5, DOI 10.3389/fgene.2014.00147
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Martin-Cuadrado AB, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1794-8
Molina-Pardines C, 2023, MSYSTEMS, V8, DOI 10.1128/msystems.00898-23
Mostowy RJ, 2018, TRENDS MICROBIOL, V26, P1008, DOI 10.1016/j.tim.2018.06.006
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Pagnout C, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-46100-3
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Paul BG, 2022, MOBILE DNA-UK, V13, DOI 10.1186/s13100-022-00262-6
Perlovsky LI, 2002, J BIOMOL STRUCT DYN, V19, P1031, DOI 10.1080/07391102.2002.10506806
Pernitzsch SR, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24689-2
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Development Core Team R, 2011, R: A Language and Environment for Statistical Computing
Raetz CRH, 2002, ANNU REV BIOCHEM, V71, P635, DOI 10.1146/annurev.biochem.71.110601.135414
REEVES P, 1995, TRENDS MICROBIOL, V3, P381, DOI 10.1016/S0966-842X(00)88983-0
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Roda-Garcia JJ, 2023, ENVIRON MICROBIOL, V25, P1136, DOI 10.1111/1462-2920.16348
Rodriguez-Valera Francisco, 2009, Nat Rev Microbiol, V7, P828, DOI 10.1038/nrmicro2235
Rodriguez-Valera F, 2016, CURR OPIN MICROBIOL, V31, P154, DOI 10.1016/j.mib.2016.03.014
Rosconi F, 2022, NAT MICROBIOL, V7, P1580, DOI 10.1038/s41564-022-01208-7
Rostol JT, 2019, CELL HOST MICROBE, V25, P184, DOI 10.1016/j.chom.2019.01.009
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Samuel G, 2003, CARBOHYD RES, V338, P2503, DOI 10.1016/j.carres.2003.07.009
Schwartz DA, 2017, ISME J, V11, P1836, DOI 10.1038/ismej.2017.47
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Sharon I, 2013, GENOME RES, V23, P111, DOI 10.1101/gr.142315.112
Shibl AA, 2014, FEMS MICROBIOL LETT, V356, P118, DOI 10.1111/1574-6968.12490
Sintes E, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00453
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Tamura K, 2021, MOL BIOL EVOL, V38, P3022, DOI 10.1093/molbev/msab120
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Thompson LR, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00369-19
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Touchon M, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000344
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Viver T, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-023-44622-z
Walsh LH, 2023, ISCIENCE, V26, DOI 10.1016/j.isci.2023.108004
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Zaragoza-Solas A, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.00192-22
Zark M, 2017, MAR CHEM, V191, P9, DOI 10.1016/j.marchem.2017.02.005
Zhao ZH, 2024, SCI ADV, V10, DOI 10.1126/sciadv.adn5143
NR 105
TC 1
Z9 1
PD MAR 12
PY 2025
VL 16
IS 3
DI 10.1128/mbio.03455-24
EA FEB 2025
UT WOS:001425486300001
DA 2025-07-30
ER
PT J
AU Zhao, YL
Temperton, B
Thrash, JC
Schwalbach, MS
Vergin, KL
Landry, ZC
Ellisman, M
Deerinck, T
Sullivan, MB
Giovannoni, SJ
AF Zhao, Yanlin
Temperton, Ben
Thrash, J. Cameron
Schwalbach, Michael S.
Vergin, Kevin L.
Landry, Zachary C.
Ellisman, Mark
Deerinck, Tom
Sullivan, Matthew B.
Giovannoni, Stephen J.
TI Abundant SAR11 viruses in the ocean
SO NATURE
DT Article
AB Several reports proposed that the extraordinary dominance of the SAR11 bacterial clade in ocean ecosystems could be a consequence of unusual mechanisms of resistance to bacteriophage infection, including 'cryptic escape' through reduced cell size(1) and/or K-strategist defence specialism(2). Alternatively, the evolution of high surface-to-volume ratios coupled with minimal genomes containing high-affinity transporters enables unusually efficient metabolism for oxidizing dissolved organic matter in the world's oceans that could support vast population sizes despite phage susceptibility. These ideas are important for understanding plankton ecology because they emphasize the potentially important role of top-down mechanisms in predation, thus determining the size of SAR11 populations and their concomitant role in biogeochemical cycling. Here we report the isolation of diverse SAR11 viruses belonging to two virus families in culture, for which we propose the name 'pelagiphage', after their host. Notably; the pelagiphage genomes were highly represented in marine viral metagenomes, demonstrating their importance in nature. One of the new phages, HTVC010P, represents a new podovirus subfamily more abundant than any seen previously, in all data sets tested, and may represent one of the most abundant virus subfamilies in the biosphere. This discovery disproves the theory that SAR11 cells are immune to viral predation and is consistent with the interpretation that the success of this highly abundant microbial clade is the result of successfully evolved adaptation to resource competition.
C1 [Zhao, Yanlin; Temperton, Ben; Thrash, J. Cameron; Vergin, Kevin L.; Landry, Zachary C.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Schwalbach, Michael S.] Univ Wisconsin, Great Lakes Bioenergy Res Ctr, Madison, WI 53706 USA.
[Ellisman, Mark; Deerinck, Tom] Univ Calif San Diego, Natl Ctr Microscopy & Imaging Res, San Diego, CA 92093 USA.
[Sullivan, Matthew B.] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Chow CET, 2012, ENVIRON MICROBIOL, V14, P2171, DOI 10.1111/j.1462-2920.2012.02744.x
Duhaime MB, 2012, ENVIRON MICROBIOL, V14, P2526, DOI 10.1111/j.1462-2920.2012.02791.x
Fuhrman JA, 2003, BIOL BULL-US, V204, P192, DOI 10.2307/1543557
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hurwitz B. L., 2013, PLOS ONE IN PRESS
Ignacio-Espinoza JC, 2012, ENVIRON MICROBIOL, V14, P2113, DOI 10.1111/j.1462-2920.2012.02704.x
Keizo N., 2010, MAVE, V10, P92, DOI DOI 10.4319/MAVE.2010.978-0-9845591-0-7.92
Kunin V, 2008, GENOME RES, V18, P293, DOI 10.1101/gr.6835308
Lavigne R, 2008, RES MICROBIOL, V159, P406, DOI 10.1016/j.resmic.2008.03.005
López-Bueno A, 2009, SCIENCE, V326, P858, DOI 10.1126/science.1179287
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Marston MF, 2012, P NATL ACAD SCI USA, V109, P4544, DOI 10.1073/pnas.1120310109
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Sullivan MB, 2010, ENVIRON MICROBIOL, V12, P3035, DOI 10.1111/j.1462-2920.2010.02280.x
Sullivan MB, 2009, ENVIRON MICROBIOL, V11, P2935, DOI 10.1111/j.1462-2920.2009.02081.x
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Van Valen Leigh, 1973, Evolutionary Theory, V1, P1, DOI DOI 10.4337/9781785361302.00005
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vos M, 2009, ISME J, V3, P199, DOI 10.1038/ismej.2008.93
Wang LR, 2011, P NATL ACAD SCI USA, V108, P2963, DOI 10.1073/pnas.1017261108
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
NR 30
TC 266
Z9 292
PD FEB 21
PY 2013
VL 494
IS 7437
BP 357
EP 360
DI 10.1038/nature11921
UT WOS:000315312900039
DA 2025-07-30
ER
PT J
AU Sun, J
Todd, JD
Thrash, JC
Qian, YP
Qian, MC
Temperton, B
Guo, JZ
Fowler, EK
Aldrich, JT
Nicora, CD
Lipton, MS
Smith, RD
De Leenheer, P
Payne, SH
Johnston, AWB
Davie-Martin, CL
Halsey, KH
Giovannoni, SJ
AF Sun, Jing
Todd, Jonathan D.
Thrash, J. Cameron
Qian, Yanping
Qian, Michael C.
Temperton, Ben
Guo, Jiazhen
Fowler, Emily K.
Aldrich, Joshua T.
Nicora, Carrie D.
Lipton, Mary S.
Smith, Richard D.
De Leenheer, Patrick
Payne, Samuel H.
Johnston, Andrew W. B.
Davie-Martin, Cleo L.
Halsey, Kimberly H.
Giovannoni, Stephen J.
TI The abundant marine bacterium Pelagibacter simultaneously
catabolizes dimethylsulfoniopropionate to the gases dimethyl sulfide and
methanethiol
SO NATURE MICROBIOLOGY
DT Article
AB Marine phytoplankton produce similar to 10(9) tonnes of dimethylsulfoniopropionate (DMSP) per year(1,2), an estimated 10% of which is catabolized by bacteria through the DMSP cleavage pathway to the climatically active gas dimethyl sulfide3,4. SAR11 Alphaproteobacteria (order Pelagibacterales), the most abundant chemo-organotrophic bacteria in the oceans, have been shown to assimilate DMSP into biomass, thereby supplying this cell's unusual requirement for reduced sulfur(5,6). Here, we report that Pelagibacter HTCC1062 produces the gas methanethiol, and that a second DMSP catabolic pathway, mediated by a cupin-like DMSP lyase, DddK, simultaneously shunts as much as 59% of DMSP uptake to dimethyl sulfide production. We propose a model in which the allocation of DMSP between these pathways is kinetically controlled to release increasing amounts of dimethyl sulfide as the supply of DMSP exceeds cellular sulfur demands for biosynthesis.
C1 [Sun, Jing; Davie-Martin, Cleo L.; Halsey, Kimberly H.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Todd, Jonathan D.; Fowler, Emily K.; Johnston, Andrew W. B.] Univ East Anglia, Sch Biol Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
[Thrash, J. Cameron] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
[Qian, Yanping; Qian, Michael C.] Oregon State Univ, Dept Food Sci, Corvallis, OR 97331 USA.
[Temperton, Ben] Univ Exeter, Dept Biosci, Exeter EX4 4QD, Devon, England.
[Guo, Jiazhen] Qingdao Aquarium, Qingdao 266003, Shandong, Peoples R China.
[Aldrich, Joshua T.; Nicora, Carrie D.; Lipton, Mary S.; Smith, Richard D.; Payne, Samuel H.] Pacific Northwest Natl Lab, Environm Mol Sci Lab, Richland, WA 99352 USA.
[De Leenheer, Patrick] Oregon State Univ, Dept Math, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bürgmann H, 2007, ENVIRON MICROBIOL, V9, P2742, DOI 10.1111/j.1462-2920.2007.01386.x
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Dunwell JM, 2004, PHYTOCHEMISTRY, V65, P7, DOI 10.1016/j.phytochem.2003.08.016
Fang Y, 2005, J CHROMATOGR A, V1080, P177, DOI 10.1016/j.chroma.2005.05.024
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kirkwood M, 2010, MICROBIOL-SGM, V156, P1900, DOI 10.1099/mic.0.038927-0
Lindinger W, 1998, INT J MASS SPECTROM, V173, P191, DOI 10.1016/S0168-1176(97)00281-4
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Polimene L, 2012, BIOGEOCHEMISTRY, V110, P243, DOI 10.1007/s10533-011-9674-z
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Todd JD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035947
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Todd JD, 2011, ENVIRON MICROBIOL, V13, P427, DOI 10.1111/j.1462-2920.2010.02348.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Vallina SM, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000415
Varaljay VA, 2015, ISME J, V9, P1677, DOI 10.1038/ismej.2015.23
Vazquez-Landaverde PA, 2006, J DAIRY SCI, V89, P2919, DOI 10.3168/jds.S0022-0302(06)72564-4
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
Zhao J, 2004, ATMOS ENVIRON, V38, P2177, DOI 10.1016/j.atmosenv.2004.01.019
NR 35
TC 78
Z9 93
PD AUG
PY 2016
VL 1
IS 8
AR 16065
DI 10.1038/NMICROBIOL.2016.65
UT WOS:000383605900014
DA 2025-07-30
ER
PT J
AU Gao, C
Zhang, N
He, XY
Wang, N
Zhang, XY
Wang, P
Chen, XL
Zhang, YZ
Ding, JM
Li, CY
AF Gao, Chao
Zhang, Nan
He, Xiao-Yan
Wang, Ning
Zhang, Xi-Ying
Wang, Peng
Chen, Xiu-Lan
Zhang, Yu-Zhong
Ding, Jun-Mei
Li, Chun-Yang
TI Characterization of the Trimethylamine N-Oxide Transporter From
Pelagibacter Strain HTCC1062 Reveals Its Oligotrophic Niche
Adaption
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Trimethylamine N-oxide (TMAO), which was detected at nanomolar concentrations in surface seawaters, is an important carbon, nitrogen and/or energy source for marine bacteria. It can be metabolized by marine bacteria into volatile methylated amines, the second largest source of nitrogen after N-2 gas in the oceans. The SAR11 bacteria are the most abundant oligotrophic plankton in the oceans, which represents approximately 30% of the bacterial cells in marine surface waters. Genomic analysis suggested that most SAR11 bacteria possess an ATP-binding cassette transporter TmoXWV that may be responsible for importing TMAO. However, it was still unclear whether SAR11 bacteria can utilize TMAO as the sole nitrogen source and how they import TMAO. Here, our results showed that Pelagibacter strain HTCC1062, a SAR11 bacterium, can grow with TMAO as the sole nitrogen source. TmoXWV from strain HTCC1062 (TmoXWV(1062)) was verified to be a functional TMAO importer. Furthermore, TmoX(1062), the periplasmic substrate binding protein of TmoXWV(1062), was shown to have high binding affinities toward TMAO at 4 degrees C (K-d = 920 nM), 10 degrees C (K-d = 500 nM) and 25 degrees C (K-d = 520 nM). The high TMAO binding affinity and strong temperature adaptability of TmoX(1062) reveal a possible oligotrophic niche adaptation strategy of strain HTCC1062, which may help it gain a competitive advantage over other bacteria. Structure comparison and mutational analysis indicated that the TMAO binding mechanism of TmoX(1062) may have differences from the previously reported mechanism of TmoX of Ruegeria pomeroyi DSS-3. This study provides new insight into TMAO utilization by the widespread SAR11 bacteria.
C1 [Gao, Chao; He, Xiao-Yan; Wang, Ning; Zhang, Xi-Ying; Wang, Peng; Chen, Xiu-Lan; Zhang, Yu-Zhong] Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Peoples R China.
[Gao, Chao; Wang, Peng; Zhang, Yu-Zhong; Li, Chun-Yang] Ocean Univ China, Coll Marine Life Sci, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.
[Gao, Chao; Chen, Xiu-Lan; Zhang, Yu-Zhong; Li, Chun-Yang] Pilot Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.
[Zhang, Nan] Qilu Univ Technol, Sch Bioengn, Jinan, Peoples R China.
[Ding, Jun-Mei] Yunnan Normal Univ, Engn Res Ctr Sustainable Dev & Utilizat Biomass E, Minist Educ, Kunming, Peoples R China.
RP Li, CY (corresponding author), Ocean Univ China, Coll Marine Life Sci, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.; Li, CY (corresponding author), Pilot Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.; Ding, JM (corresponding author), Yunnan Normal Univ, Engn Res Ctr Sustainable Dev & Utilizat Biomass E, Minist Educ, Kunming, Peoples R China.
EM djm3417@163.com; Lcy@ouc.edu.cn
CR Albers SV, 1999, J BACTERIOL, V181, P4285, DOI 10.1128/JB.181.14.4285-4291.1999
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Beis K, 2015, BIOCHEM SOC T, V43, P889, DOI 10.1042/BST20150047
Berntsson RPA, 2010, FEBS LETT, V584, P2606, DOI 10.1016/j.febslet.2010.04.043
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Carpenter LJ, 2012, CHEM SOC REV, V41, P6473, DOI 10.1039/c2cs35121h
Chen CL, 2010, MOL MICROBIOL, V75, P29, DOI 10.1111/j.1365-2958.2009.06962.x
Chen Y, 2011, P NATL ACAD SCI USA, V108, P17791, DOI 10.1073/pnas.1112928108
Chen Y, 2010, APPL ENVIRON MICROB, V76, P4530, DOI 10.1128/AEM.00739-10
Dos Santos JP, 1998, J MOL BIOL, V284, P421, DOI 10.1006/jmbi.1998.2155
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Ganguly P, 2020, J PHYS CHEM B, V124, P6181, DOI 10.1021/acs.jpcb.0c04357
Gibb SW, 2004, MAR CHEM, V91, P65, DOI 10.1016/j.marchem.2004.04.005
Gibb SW, 1999, DEEP-SEA RES PT II, V46, P593, DOI 10.1016/S0967-0645(98)00119-2
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Li CY, 2017, MOL MICROBIOL, V103, P992, DOI 10.1111/mmi.13605
Li CY, 2015, J BACTERIOL, V197, P3378, DOI 10.1128/JB.00542-15
Liao YT, 2017, P NATL ACAD SCI USA, V114, P2479, DOI 10.1073/pnas.1614609114
Lidbury I, 2017, ISME J, V11, P1592, DOI 10.1038/ismej.2017.31
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Lidbury IDEA, 2015, ISME J, V9, P760, DOI 10.1038/ismej.2014.149
Ma JQ, 2014, P NATL ACAD SCI USA, V111, P8476, DOI 10.1073/pnas.1403224111
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Qin QL, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abf9941
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rice AJ, 2014, CRIT REV BIOCHEM MOL, V49, P426, DOI 10.3109/10409238.2014.953626
Seibel BA, 2002, J EXP BIOL, V205, P297
Sun J, 2019, ENVIRON MICROBIOL, V21, P513, DOI 10.1111/1462-2920.14461
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Wang N, 2021, J BIOL CHEM, V296, DOI 10.1074/jbc.RA120.015952
Wang PX, 2015, MICROB CELL FACT, V14, DOI 10.1186/s12934-015-0194-8
Waterhouse A, 2018, NUCLEIC ACIDS RES, V46, pW296, DOI 10.1093/nar/gky427
Wischer D, 2015, ISME J, V9, P195, DOI 10.1038/ismej.2014.102
Yancey PH, 2014, P NATL ACAD SCI USA, V111, P4461, DOI 10.1073/pnas.1322003111
Yin QJ, 2018, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02646
NR 38
TC 3
Z9 6
PD FEB 28
PY 2022
VL 13
AR 838608
DI 10.3389/fmicb.2022.838608
UT WOS:000772688900001
DA 2025-07-30
ER
PT J
AU López-Pérez, M
Haro-Moreno, JM
Coutinho, FH
Martinez-Garcia, M
Rodriguez-Valera, F
AF Lopez-Perez, Mario
Haro-Moreno, Jose M.
Hernandes Coutinho, Felipe
Martinez-Garcia, Manuel
Rodriguez-Valera, Francisco
TI The Evolutionary Success of the Marine Bacterium SAR11 Analyzed through
a Metagenomic Perspective
SO MSYSTEMS
DT Article
AB The SAR11 clade of Alphaproteobacteria is the most abundant group of planktonic cells in the near-surface epipelagic waters of the ocean, but the mechanisms underlying its exceptional success have not been fully elucidated. Here, we applied a metagenomic approach to explore microdiversity patterns by measuring the accumulation of synonymous and nonsynonymous mutations as well as homologous recombination in populations of SAR11 from different aquatic habitats (marine epipelagic, bathypelagic, and surface freshwater). The patterns of mutation accumulation and recombination were compared to those of other groups of representative marine microbes with multiple ecological strategies that share the same marine habitat, namely, Cyanobacteria (Prochlorococcus and Synechococcus), Archaea ("Candidatus Nitrosopelagicus" and Marine Group II Thalassoarchaea), and some heterotrophic marine bacteria (Alteromonas and Erythrobacter). SAR11 populations showed widespread recombination among distantly related members, preventing divergence leading to a genetically stable population. Moreover, their high intrapopulation sequence diversity with an enrichment in synonymous replacements supports the idea of a very ancient divergence and the coexistence of multiple different clones. However, other microbes analyzed seem to follow different evolutionary dynamics where processes of diversification driven by geographic and ecological instability produce a higher number of nonsynonymous replacements and lower intrapopulation sequence diversity. Together, these data shed light on some of the evolutionary and ecological processes that lead to the large genomic diversity in SAR11. Furthermore, this approach can be applied to other similar microbes that are difficult to culture in the laboratory, but abundant in nature, to investigate the underlying dynamics of their genomic evolution.
IMPORTANCE As the most abundant bacteria in oceans, the Pelagibacterales order (here SAR11) plays an important role in the global carbon cycle, but the study of the evolutionary forces driving its evolution has lagged considerably due to the inherent difficulty of obtaining pure cultures. Multiple evolutionary models have been proposed to explain the diversification of distinct lineages within a population; however, the identification of many of these patterns in natural populations remains mostly enigmatic. We have used a metagenomic approach to explore microdiversity patterns in their natural habitats. Comparison with a collection of bacterial and archaeal groups from the same environments shows that SAR11 populations have a different evolutionary regime, where multiple genotypes coexist within the same population and remain stable over time. Widespread homologous recombination could be one of the main driving factors of this homogenization.
C1 [Lopez-Perez, Mario; Haro-Moreno, Jose M.; Hernandes Coutinho, Felipe; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain.
[Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
[Rodriguez-Valera, Francisco] Moscow Inst Phys & Technol, Res Ctr Mol Mech Aging & Age Related Dis, Dolgoprudnyi, Russia.
RP López-Pérez, M (corresponding author), Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain.
EM mario.lopezp@umh.es
CR Alneberg J, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0550-0
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Caro-Quintero A, 2012, ENVIRON MICROBIOL, V14, P347, DOI 10.1111/j.1462-2920.2011.02668.x
Cohan FM, 2001, SYST BIOL, V50, P513, DOI 10.1080/106351501750435077
Cohan FM, 2007, CURR BIOL, V17, pR373, DOI 10.1016/j.cub.2007.03.032
Cohan FM, 2019, CURR BIOL, V29, pR169, DOI 10.1016/j.cub.2019.01.033
Cordero OX, 2014, NAT REV MICROBIOL, V12, P263, DOI 10.1038/nrmicro3218
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dettman JR, 2015, GENOME BIOL EVOL, V7, P18, DOI 10.1093/gbe/evu260
Dixit PD, 2017, GENETICS, V207, P281, DOI 10.1534/genetics.117.300061
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Garcia SL, 2018, ISME J, V12, P742, DOI 10.1038/s41396-017-0001-0
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gonzaga A, 2012, GENOME BIOL EVOL, V4, P1360, DOI 10.1093/gbe/evs112
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Haro-Moreno JM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02926
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Haro-Moreno JM, 2017, ISME J, V11, P1102, DOI 10.1038/ismej.2016.188
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Hermisson J, 2005, GENETICS, V169, P2335, DOI 10.1534/genetics.104.036947
Coutinho FH, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00554-19
Hou SW, 2018, ISME J, V12, P981, DOI 10.1038/s41396-017-0034-4
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iranzo J, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13429-2
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Li H, 2009, BIOINFORMATICS, V25, P1754, DOI [10.1093/bioinformatics/btp352, 10.1093/bioinformatics/btp324, 10.1093/bioinformatics/btp698]
Lin MZ, 2019, NAT METHODS, V16, P199, DOI 10.1038/s41592-018-0293-7
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
López-Pérez M, 2013, GENOME BIOL EVOL, V5, P1220, DOI 10.1093/gbe/evt089
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Luo HW, 2015, MOL BIOL EVOL, V32, P2738, DOI 10.1093/molbev/msv149
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Messer PW, 2013, TRENDS ECOL EVOL, V28, P659, DOI 10.1016/j.tree.2013.08.003
Messer PW, 2012, GENETICS, V191, P593, DOI 10.1534/genetics.112.138461
Meziti A, 2019, ISME J, V13, P767, DOI 10.1038/s41396-018-0307-6
Nawrocki EP, 2009, THESIS, DOI 10.7936/K78050MP:
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Orellana LH, 2019, ISME J, V13, P3024, DOI 10.1038/s41396-019-0491-z
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Rocha EPC, 2018, MOL BIOL EVOL, V35, P1338, DOI 10.1093/molbev/msy078
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rosen MJ, 2015, SCIENCE, V348, P1019, DOI 10.1126/science.aaa4456
Roveri M, 2014, MAR GEOL, V352, P25, DOI 10.1016/j.margeo.2014.02.002
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sapriel G, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2448-1
Schloissnig S, 2013, NATURE, V493, P45, DOI 10.1038/nature11711
Shapiro BJ, 2012, SCIENCE, V336, P48, DOI 10.1126/science.1218198
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Tettelin H, 2008, CURR OPIN MICROBIOL, V11, P472, DOI 10.1016/j.mib.2008.09.006
Thompson LR, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00369-19
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vos M, 2009, ISME J, V3, P199, DOI 10.1038/ismej.2008.93
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zheng Q, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00984
NR 84
TC 25
Z9 25
PD SEP-OCT
PY 2020
VL 5
IS 5
AR e00605-20
DI 10.1128/mSystems.00605-20
UT WOS:000579368300037
DA 2025-07-30
ER
PT J
AU Wei, T
Zhao, CM
Quareshy, M
Wu, N
Huang, S
Zhao, YZ
Yang, PF
Mao, DB
Chen, Y
AF Wei, Tao
Zhao, Caimeng
Quareshy, Mussa
Wu, Nan
Huang, Shen
Zhao, Yuezhe
Yang, Pengfei
Mao, Duobin
Chen, Yin
TI A Glycolipid Glycosyltransferase with Broad Substrate Specificity from
the Marine Bacterium "Candidatus Pelagibacter sp." Strain
HTCC7211
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB In the marine environment, phosphorus availability significantly affects the lipid composition in many cosmopolitan marine heterotrophic bacteria, including members of the SAR11 Glade and the Roseobacter Glade. Under phosphorus stress conditions, nonphosphorus sugar-containing glycoglycerolipids are substitutes for phospholipids in these bacteria. Although these glycoglycerolipids play an important role as surrogates for phospholipids under phosphate deprivation, glycoglycerolipid synthases in marine microbes are poorly studied. In the present study, we biochemically characterized a glycolipid glycosyltransferase (GT(cp)) from the marine bacterium "Candidatus Pelagibacter sp." strain HTCC7211, a member of the SAR11 Glade. Our results showed that GT(cp) is able to act as a multifunctional enzyme by synthesizing different glycoglycerolipids with UDP-glucose, UDP-galactose, or UDP-glucuronic acid as sugar donors and diacylglycerol (DAG) as the acceptor. Analyses of enzyme kinetic parameters demonstrated that Mg2+ notably changes the enzyme's affinity for UDP-glucose, which improves its catalytic efficiency. Homology modeling and mutational analyses revealed binding sites for the sugar donor and the diacylglycerol lipid acceptor, which provided insights into the retaining mechanism of GT(cp) with its GT-B fold. A phylogenetic analysis showed that GT(cp) and its homologs form a group in the GT4 glycosyltransferase family. These results not only provide new insights into the glycoglycerolipid synthesis mechanism in lipid remodeling but also describe an efficient enzymatic tool for the future synthesis of bioactive molecules.
IMPORTANCE The bilayer formed by membrane lipids serves as the containment unit for living microbial cells. In the marine environment, it has been firmly established that phytoplankton and heterotrophic bacteria can replace phospholipids with nonphosphorus sugar-containing glycoglycerolipids in response to phosphorus limitation. However, little is known about how these glycoglycerolipids are synthesized. Here, we determined the biochemical characteristics of a glycolipid glycosyltransferase (GT(cp)) from the marine bacterium "Candidatus Pelagibacter sp." strain HTCC7211. GT(cp) and its homologs form a group in the GT4 glycosyltransferase family and can synthesize neutral glycolipids (monoglucosyl-1,2-diacyl-sn-glycerol [MGlc-DAG] and monogalactosyl [MGaI]-DAG) and monoglucuronic acid diacylglycerol (MGlcA-DAG). We also uncovered the key residues for DAG binding through molecular docking, site-direct mutagenesis, and subsequent enzyme activity assays. Our data provide new insights into the glycoglycerolipid synthesis mechanism in lipid remodeling.
C1 [Wei, Tao; Zhao, Caimeng; Wu, Nan; Huang, Shen; Zhao, Yuezhe; Yang, Pengfei; Mao, Duobin] Zhengzhou Univ Light Ind, Sch Food & Biol Engn, Zhengzhou, Peoples R China.
[Quareshy, Mussa; Chen, Yin] Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
RP Wei, T (corresponding author), Zhengzhou Univ Light Ind, Sch Food & Biol Engn, Zhengzhou, Peoples R China.; Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
EM weit8008@zzuli.edu.cn; Y.chen.25@warwick.ac.uk
CR Albesa-Jove D, 2016, CURR OPIN STRUC BIOL, V40, P23, DOI 10.1016/j.sbi.2016.07.007
Andrés E, 2011, J BIOL CHEM, V286, P35367, DOI 10.1074/jbc.M110.214148
Batt SM, 2010, J BIOL CHEM, V285, P37741, DOI 10.1074/jbc.M110.165407
Berg S, 2001, J BIOL CHEM, V276, P22056, DOI 10.1074/jbc.M102576200
Bergé JP, 2002, J AGR FOOD CHEM, V50, P6227, DOI 10.1021/jf020290y
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Chen CI, 2012, EMBO J, V31, P3183, DOI 10.1038/emboj.2012.143
Cheng-Sánchez I, 2018, MAR DRUGS, V16, DOI 10.3390/md16090294
Chirasuwan N, 2009, SCIENCEASIA, V35, P137, DOI 10.2306/scienceasia1513-1874.2009.35.137
Chiu CPC, 2007, BIOCHEMISTRY-US, V46, P7196, DOI 10.1021/bi602543d
Coutinho PM, 2003, J MOL BIOL, V328, P307, DOI 10.1016/S0022-2836(03)00307-3
Devers EA, 2011, J BACTERIOL, V193, P1377, DOI 10.1128/JB.00768-10
Diller DJ, 2001, PROTEINS, V43, P113, DOI 10.1002/1097-0134(20010501)43:2<113::AID-PROT1023>3.0.CO;2-T
Errey JC, 2010, ANGEW CHEM INT EDIT, V49, P1234, DOI 10.1002/anie.200905096
Forget SM, 2019, J ORG CHEM, V84, P11482, DOI 10.1021/acs.joc.9b01130
Gómez H, 2012, J AM CHEM SOC, V134, P4743, DOI 10.1021/ja210490f
Gu XL, 2005, PROTEIN EXPRES PURIF, V42, P47, DOI 10.1016/j.pep.2005.03.015
Guerin ME, 2007, J BIOL CHEM, V282, P20705, DOI 10.1074/jbc.M702087200
Guerin ME, 2009, J BIOL CHEM, V284, P25687, DOI 10.1074/jbc.M109.030593
Hodis E, 2009, TRENDS BIOCHEM SCI, V34, P100, DOI 10.1016/j.tibs.2009.01.001
Hoelzl G, 2007, PROG LIPID RES, V46, P225, DOI 10.1016/j.plipres.2007.05.001
Hölzl G, 2005, PLANT CELL PHYSIOL, V46, P1766, DOI 10.1093/pcp/pci189
Hölzl G, 2005, GLYCOBIOLOGY, V15, P874, DOI 10.1093/glycob/cwi066
Honda Y, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02213-18
Kelley LA, 2015, NAT PROTOC, V10, P845, DOI 10.1038/nprot.2015.053
Kitayska T, 2011, APPL BIOCHEM BIOTECH, V165, P1285, DOI 10.1007/s12010-011-9346-4
Klement MLR, 2007, MOL MICROBIOL, V65, P1444, DOI 10.1111/j.1365-2958.2007.05865.x
Kolter T, 2011, CHEM PHYS LIPIDS, V164, P590, DOI 10.1016/j.chemphyslip.2011.04.013
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Lairson LL, 2008, ANNU REV BIOCHEM, V77, P521, DOI 10.1146/annurev.biochem.76.061005.092322
Larkin MA, 2007, BIOINFORMATICS, V23, P2947, DOI 10.1093/bioinformatics/btm404
Lee SS, 2011, NAT CHEM BIOL, V7, P631, DOI [10.1038/nchembio.628, 10.1038/NCHEMBIO.628]
Li YP, 2016, INT J BIOL MACROMOL, V86, P96, DOI 10.1016/j.ijbiomac.2016.01.033
Liang DM, 2015, CHEM SOC REV, V44, P8350, DOI 10.1039/c5cs00600g
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
Östberg Y, 2007, FEMS MICROBIOL LETT, V272, P22, DOI 10.1111/j.1574-6968.2007.00728.x
Pruitt RN, 2012, J BIOL CHEM, V287, P8013, DOI 10.1074/jbc.M111.298414
Royer CJ, 2019, PROTEIN SCI, V28, P1083, DOI 10.1002/pro.3617
Sebastián M, 2016, ISME J, V10, P968, DOI 10.1038/ismej.2015.172
Semeniuk A, 2014, J BIOL CHEM, V289, P10104, DOI 10.1074/jbc.M113.519298
Shi WW, 2014, J BIOL CHEM, V289, P20898, DOI 10.1074/jbc.M114.581934
Smith AF, 2019, ISME J, V13, P39, DOI 10.1038/s41396-018-0249-z
Sobhanifar S, 2015, P NATL ACAD SCI USA, V112, pE576, DOI 10.1073/pnas.1418084112
Troutman JM, 2009, BIOCHEMISTRY-US, V48, P2807, DOI 10.1021/bi802284d
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Vetting MW, 2008, J BIOL CHEM, V283, P15834, DOI 10.1074/jbc.M801017200
Wei T, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01109-18
Xie KB, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.03103-16
Zhang J, 2014, MAR DRUGS, V12, P3634, DOI 10.3390/md12063634
Zhang S, 2013, BIOCHEM ENG J, V71, P105, DOI 10.1016/j.bej.2012.12.004
NR 51
TC 7
Z9 8
PD JUL
PY 2021
VL 87
IS 14
AR e00326-21
DI 10.1128/AEM.00326-21
UT WOS:000693249500008
DA 2025-07-30
ER
PT J
AU Smith, DP
Thrash, JC
Nicora, CD
Lipton, MS
Burnum-Johnson, KE
Carini, P
Smith, RD
Giovannoni, SJ
AF Smith, Daniel P.
Thrash, J. Cameron
Nicora, Carrie D.
Lipton, Mary S.
Burnum-Johnson, Kristin E.
Carini, Paul
Smith, Richard D.
Giovannoni, Stephen J.
TI Proteomic and Transcriptomic Analyses of "Candidatus Pelagibacter
ubique" Describe the First PII-Independent Response to
Nitrogen Limitation in a Free-Living Alphaproteobacterium
SO MBIO
DT Article
AB Nitrogen is one of the major nutrients limiting microbial productivity in the ocean, and as a result, most marine microorganisms have evolved systems for responding to nitrogen stress. The highly abundant alphaproteobacterium "Candidatus Pelagibacter ubique," a cultured member of the order Pelagibacterales (SAR11), lacks the canonical GlnB, GlnD, GlnK, and NtrB/NtrC genes for regulating nitrogen assimilation, raising questions about how these organisms respond to nitrogen limitation. A survey of 266 Alphaproteobacteria genomes found these five regulatory genes nearly universally conserved, absent only in intracellular parasites and members of the order Pelagibacterales, including "Ca. Pelagibacter ubique." Global differences in mRNA and protein expression between nitrogen-limited and nitrogen-replete cultures were measured to identify nitrogen stress responses in "Ca. Pelagibacter ubique" strain HTCC1062. Transporters for ammonium (AmtB), taurine (TauA), amino acids (YhdW), and opines (OccT) were all elevated in nitrogen-limited cells, indicating that they devote increased resources to the assimilation of nitrogenous organic compounds. Enzymes for assimilating amine into glutamine (GlnA), glutamate (GltBD), and glycine (AspC) were similarly upregulated. Differential regulation of the transcriptional regulator NtrX in the two-component signaling system NtrY/NtrX was also observed, implicating it in control of the nitrogen starvation response. Comparisons of the transcriptome and proteome supported previous observations of uncoupling between transcription and translation in nutrient-deprived "Ca. Pelagibacter ubique" cells. Overall, these data reveal a streamlined, P-II-independent response to nitrogen stress in "Ca. Pelagibacter ubique," and likely other Pelagibacterales, and show that they respond to nitrogen stress by allocating more resources to the assimilation of nitrogen-rich organic compounds.
IMPORTANCE Pelagibacterales are extraordinarily abundant and play a pivotal role in marine geochemical cycles, as one of the major recyclers of labile dissolved organic matter. They are also models for understanding how streamlining selection can reshape chemoheterotroph metabolism. Streamlining and its broad importance to environmental microbiology are emerging slowly from studies that reveal the complete genomes of uncultured organisms. Here, we report another remarkable example of streamlined metabolism in Pelagibacterales, this time in systems that control nitrogen assimilation. Pelagibacterales are major contributors to metatranscriptomes and metaproteomes from ocean systems, where patterns of gene expression are used to gain insight into ocean conditions and geochemical cycles. The data presented here supply background that is essential to interpreting data from field studies.
C1 [Smith, Daniel P.; Thrash, J. Cameron; Carini, Paul; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Nicora, Carrie D.; Lipton, Mary S.; Burnum-Johnson, Kristin E.; Smith, Richard D.] Pacific NW Natl Lab, Biol & Computat Sci Div, Richland, WA 99352 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Abreu RD, 2009, MOL BIOSYST, V5, P1512, DOI 10.1039/b908315d
Allgeier JE, 2011, J APPL ECOL, V48, P96, DOI 10.1111/j.1365-2664.2010.01894.x
Ames TD, 2011, RNA BIOL, V8, P82, DOI 10.4161/rna.8.1.13864
Arcondéguy T, 2001, MICROBIOL MOL BIOL R, V65, P80, DOI 10.1128/MMBR.65.1.80-105.2001
Assumpçao MC, 2007, PROTEIN EXPRES PURIF, V53, P302, DOI 10.1016/j.pep.2007.01.003
Baudouin-Cornu P, 2001, SCIENCE, V293, P297, DOI 10.1126/science.1061052
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Blauwkamp TA, 2003, MOL MICROBIOL, V48, P1017, DOI 10.1046/j.1365-2958.2003.03479.x
Boyd PW, 2007, SCIENCE, V315, P612, DOI 10.1126/science.1131669
Bragg JG, 2011, MOL ECOL, V20, P27, DOI 10.1111/j.1365-294X.2010.04915.x
Bragg JG, 2004, P ROY SOC B-BIOL SCI, V271, pS374, DOI 10.1098/rsbl.2004.0193
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Chen Y, 2011, P NATL ACAD SCI USA, V108, P17791, DOI 10.1073/pnas.1112928108
CONLEY DJ, 1993, MAR ECOL PROG SER, V101, P179, DOI 10.3354/meps101179
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Danger M, 2008, OIKOS, V117, P1741, DOI 10.1111/j.1600-0706.2008.16793.x
Darling AE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011147
Davey M, 2008, LIMNOL OCEANOGR, V53, P1722, DOI 10.4319/lo.2008.53.5.1722
Downing JA, 1999, ECOLOGY, V80, P1157, DOI 10.2307/177063
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Elser JJ, 2007, ECOL LETT, V10, P1135, DOI 10.1111/j.1461-0248.2007.01113.x
Elser JJ, 2000, ECOL LETT, V3, P540, DOI 10.1046/j.1461-0248.2000.00185.x
FOOR F, 1980, P NATL ACAD SCI-BIOL, V77, P2636, DOI 10.1073/pnas.77.5.2636
FOOR F, 1975, P NATL ACAD SCI USA, V72, P4844, DOI 10.1073/pnas.72.12.4844
Forchhammer K, 2007, FRONT BIOSCI-LANDMRK, V12, P358, DOI 10.2741/2069
Gilbert JDJ, 2011, MOL ECOL, V20, P92, DOI 10.1111/j.1365-294X.2010.04914.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GOLDMAN JC, 1976, WATER RES, V10, P97, DOI 10.1016/0043-1354(76)90106-8
Gregor J, 2007, J MOL MICROB BIOTECH, V13, P126, DOI 10.1159/000103604
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Harpole WS, 2011, ECOL LETT, V14, P852, DOI 10.1111/j.1461-0248.2011.01651.x
HECKY RE, 1988, LIMNOL OCEANOGR, V33, P796, DOI 10.4319/lo.1988.33.4_part_2.0796
Henkin TM, 2009, ENCY MICROBIOLOGY, P342
Hervás AB, 2009, J BACTERIOL, V191, P6123, DOI 10.1128/JB.00744-09
Hess A, 2007, BMC GENOMICS, V8, DOI 10.1186/1471-2164-8-96
Howarth RW, 2006, LIMNOL OCEANOGR, V51, P364, DOI 10.4319/lo.2006.51.1_part_2.0364
Ishida ML, 2002, BRAZ J MED BIOL RES, V35, P651, DOI 10.1590/S0100-879X2002000600004
Jaitly N, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-87
Javelle A, 2005, BIOCHEM SOC T, V33, P170, DOI 10.1042/BST0330170
Javelle A, 2005, BIOCHEM J, V390, P215, DOI 10.1042/BJ20042094
Javelle A, 2004, J BIOL CHEM, V279, P8530, DOI 10.1074/jbc.M312399200
Kelly RT, 2006, ANAL CHEM, V78, P7796, DOI 10.1021/ac061133r
Kimura, 1983, NEUTRAL THEORY MOL E
Kudla G, 2009, SCIENCE, V324, P255, DOI 10.1126/science.1170160
Lee PKH, 2012, APPL ENVIRON MICROB, V78, P1424, DOI 10.1128/AEM.06792-11
LEHMAN JT, 1982, SCIENCE, V216, P729, DOI 10.1126/science.216.4547.729
Leigh JA, 2007, ANNU REV MICROBIOL, V61, P349, DOI 10.1146/annurev.micro.61.080706.093409
Livesay EA, 2008, ANAL CHEM, V80, P294, DOI 10.1021/ac701727r
Lv J, 2008, BIOCHEM BIOPH RES CO, V375, P241, DOI 10.1016/j.bbrc.2008.08.011
Maier T, 2009, FEBS LETT, V583, P3966, DOI 10.1016/j.febslet.2009.10.036
Maiolica A, 2005, PROTEOMICS, V5, P3847, DOI 10.1002/pmic.200402010
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MARTIN JH, 1994, NATURE, V371, P123, DOI 10.1038/371123a0
MARTIN JH, 1988, NATURE, V331, P341, DOI 10.1038/331341a0
MAZEL D, 1989, NATURE, V341, P245, DOI 10.1038/341245a0
McEwan CEA, 1998, HEREDITAS, V128, P173, DOI 10.1111/j.1601-5223.1998.00173.x
Meier-Wagner J, 2001, MICROBIOL-UK, V147, P135, DOI 10.1099/00221287-147-1-135
MERRICK MJ, 1995, MICROBIOL REV, V59, P604, DOI 10.1128/MMBR.59.4.604-622.1995
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
Mills MM, 2004, NATURE, V429, P292, DOI 10.1038/nature02550
Monroe ME, 2007, BIOINFORMATICS, V23, P2021, DOI 10.1093/bioinformatics/btm281
Nicastro D., 2006, MAM, V12, P180, DOI DOI 10.1017/S1431927606067456
Nie L, 2006, GENETICS, V174, P2229, DOI 10.1534/genetics.106.065862
Nie L, 2006, BIOINFORMATICS, V22, P1641, DOI 10.1093/bioinformatics/btl134
OVIATT C, 1995, MAR ECOL PROG SER, V116, P171, DOI 10.3354/meps116171
Pan C, 2008, MOL CELL PROTEOMICS, V7, P938, DOI 10.1074/mcp.M700147-MCP200
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
PAWLOWSKI K, 1991, MOL GEN GENET, V231, P124, DOI 10.1007/BF00293830
Poiata E, 2009, RNA, V15, P2046, DOI 10.1261/rna.1824209
PRICE NM, 1994, LIMNOL OCEANOGR, V39, P520, DOI 10.4319/lo.1994.39.3.0520
Robbertse B, 2011, PLOS CURR-TREE LIFE, DOI 10.1371/currents.RRN1213
Romeo T, 2013, ENVIRON MICROBIOL, V15, P313, DOI 10.1111/j.1462-2920.2012.02794.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
RYTHER JH, 1971, SCIENCE, V171, P1008, DOI 10.1126/science.171.3975.1008
Sassera D, 2011, MOL BIOL EVOL, V28, P3285, DOI 10.1093/molbev/msr159
Schade JD, 2005, OIKOS, V109, P40, DOI 10.1111/j.0030-1299.2005.14050.x
Schell DM, 1998, MAR ECOL PROG SER, V162, P11, DOI 10.3354/meps162011
Seymour JR, 2009, AM NAT, V173, pE15, DOI 10.1086/593004
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Smith DP, 2011, THESIS OREGON STATE
SMITH SV, 1984, LIMNOL OCEANOGR, V29, P1149, DOI 10.4319/lo.1984.29.6.1149
Soupene E, 2002, P NATL ACAD SCI USA, V99, P3926, DOI 10.1073/pnas.062043799
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Steglich C, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000173
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Taniguchi Y, 2010, SCIENCE, V329, P533, DOI 10.1126/science.1188308
Tetu SG, 2009, ISME J, V3, P835, DOI 10.1038/ismej.2009.31
THOMAS WH, 1970, LIMNOL OCEANOGR, V15, P380, DOI 10.4319/lo.1970.15.3.0380
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Tripp HJ., 2007, GENOMIC ASSISTED DET
Turner RE, 1998, P NATL ACAD SCI USA, V95, P13048, DOI 10.1073/pnas.95.22.13048
TURPIN D H, 1981, Journal of Plankton Research, V3, P421, DOI 10.1093/plankt/3.3.421
Tyrrell T, 1999, NATURE, V400, P525, DOI 10.1038/22941
Ueki T, 2010, NUCLEIC ACIDS RES, V38, P7485, DOI 10.1093/nar/gkq652
Vogel C, 2012, NAT REV GENET, V13, P227, DOI 10.1038/nrg3185
Walter B, 2008, J BACTERIOL, V190, P2611, DOI 10.1128/JB.01896-07
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Wulff F, 2011, ECOL MODEL, V222, P120, DOI 10.1016/j.ecolmodel.2010.08.040
Yin KD, 2000, MAR ECOL PROG SER, V194, P295, DOI 10.3354/meps194295
Zimmer JSD, 2006, MASS SPECTROM REV, V25, P450, DOI 10.1002/mas.20071
NR 107
TC 74
Z9 76
PD NOV-DEC
PY 2013
VL 4
IS 6
AR e00133-12
DI 10.1128/mBio.00133-12
UT WOS:000329174500001
DA 2025-07-30
ER
PT J
AU Jones, LR
Manrique, JM
AF Jones, Leandro R.
Manrique, Julieta M.
TI High-throughput metabarcoding of SAR11 assemblages from the southwest
Atlantic shelf and arid Patagonia: richness and associated rank
abundance distributions
SO QUANTITATIVE BIOLOGY
DT Article
AB Background: Massively parallel sequencing of environmental DNA allows microbiological studies to be performed in greater detail than was possible with first-generation sequencing. For example, it facilitates the use of approaches hitherto largely applied to flora and fauna, such as rank abundance distribution (RAD) analyses. Methods: Here, we set out to advance the knowledge on Ca. Pelagibacterales (SAR11) communities from southern South America using environmental sequences from the open ocean in the Argentine sea, the uncharted Engano Bay, as well as a river and an oligohaline shallow lake from the Patagonian Steppe ecoregion. The structures of the SAR11 assemblages present in these ecosystems were dissected by direct and rarefaction-based estimates of species richness, and evaluations of the corresponding abundance distributions (ADs), which was addressed by RAD analyses.Results: Microbial community composition analyses revealed that the studied SAR11 assemblages coexist with 27 bacterial phyla. SAR11 richness was in general very high, but ADs turned out to be highly uneven. The results were compatible with prior knowledge, and similar to that derived from point estimates of diversity. However, our comprehensive dissection allowed for more detailed quantitative comparisons to be made between the environments surveyed, and revealed differences regarding both richness and the underlying ADs.Conclusions: Despite SAR11 assemblages being extremely rich, their ADs are very uneven. Richness and ADs can vary, not only between fresh and salt water, but also between oceanic and coastal marine environments. The obtained results provide insights on general topics such as adaptation and the contrast between marine and freshwater radiations.
C1 [Jones, Leandro R.; Manrique, Julieta M.] Univ Nacl Patagonia San Juan Bosco, Lab Virol & Genet Mol, RA-9100 Trelew, Argentina.
RP Jones, LR (corresponding author), Univ Nacl Patagonia San Juan Bosco, Lab Virol & Genet Mol, RA-9100 Trelew, Argentina.
EM lrj000@gmail.com
CR AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Carbonell-Silletta L, 2022, PLANT SOIL, V479, P405, DOI 10.1007/s11104-022-05531-0
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Cui Hongfei, 2016, [Quantitative Biology, 定量生物学], V4, P192
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Derguy MR, 2022, AUSTRAL ECOL, V47, P580, DOI 10.1111/aec.13142
Dogliotti AI, 2014, REMOTE SENS ENVIRON, V140, P497, DOI 10.1016/j.rse.2013.09.021
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Falkowski P, 2000, SCIENCE, V290, P291, DOI 10.1126/science.290.5490.291
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Foster ZSL, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005404
Giaccardi LI, 2022, AQUAT ECOL, V56, P1217, DOI 10.1007/s10452-022-09962-w
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hellweger FL, 2014, SCIENCE, V345, P1346, DOI 10.1126/science.1254421
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
HURLBERT SH, 1971, ECOLOGY, V52, P577, DOI 10.2307/1934145
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Kindt R., 2005, Tree diversity analysis. A manual and software for common statistical methods for ecological and biodiversity studies
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Latimer AM, 2005, SCIENCE, V309, P1722, DOI 10.1126/science.1115576
Legendre P., 1998, NUMERICAL ECOLOGY
Lloyd KG, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00055-18
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
Manrique JM, 2017, MOL PHYLOGENET EVOL, V107, P324, DOI 10.1016/j.ympev.2016.11.015
Mataloni, 2022, FRESHWATERS WETLANDS
Matano RP, 2010, OCEAN SCI, V6, P983, DOI 10.5194/os-6-983-2010
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Oh S, 2016, ENV MICROBIOL REP, V8, P595, DOI 10.1111/1758-2229.12408
Oksanen, 2022, VEGAN COMMUNITY ECOL
Paver SF, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00232-18
Piccolo M. C., 1999, ESTUARIES S AM
Pomeroy LR, 2007, OCEANOGRAPHY, V20, P28, DOI 10.5670/oceanog.2007.45
Quensen J, 2019, QSRUTILS R FUNCTIONS
Saeedghalati M., 2016, RADANALYSIS NORMALIZ
Saeedghalati M, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005362
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Team RC, 2021, R LANG ENV STAT COMP, V1, P371
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Alberto MLT, 2021, FISH OCEANOGR, V30, P127, DOI 10.1111/fog.12507
Vergin KL, 2017, AQUAT MICROB ECOL, V79, P165, DOI 10.3354/ame01824
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
NR 47
TC 0
Z9 0
PD SEP
PY 2023
VL 11
IS 3
BP 332
EP 342
DI 10.15302/J-QB-023-0329
UT WOS:001119788400011
DA 2025-07-30
ER
PT J
AU Sánchez, O
Gasol, JM
Balagué, V
Massana, R
Mast, J
Pedrós-Alió, C
AF Sanchez, Olga
Gasol, Josep M.
Balague, Vanessa
Massana, Ramon
Mast, Jordi
Pedros-Alio, Carlos
TI Influence of primer mismatch and microdiversity on DGGE results: a case
study with SAR11
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Although SAR11 is usually the dominant bacterial group in most marine ecosystems when analyzed with clone libraries and fluorescence in situ hybridization, it is often not retrieved in studies where denaturing gradient gel electrophoresis (DGGE) has been used. We analyzed the microdiversity of SAR11 in Blanes Bay (NW Mediterranean) and we suggest that the high evenness of multiple microdiverse phylotypes, none of which being particularly dominant, is the probable reason for this methodological discrepancy. We used seeding experiments in which different amounts of 2 SAR11-affiliated clones were mixed with DNA from an environmental sample obtained from the Blanes Bay Microbial Observatory. Two primer sets differing at 2 base positions produced DGGE images that varied in their SAR11 detection threshold concentration. Our results show that primer mismatches and/or the presence of faint bands due to microdiversity could explain why SAR11 is frequently not retrieved from DGGE gels.
C1 [Sanchez, Olga; Mast, Jordi] Univ Autonoma Barcelona, Dept Genet & Microbiol, Bellaterra 08193, Spain.
[Gasol, Josep M.; Balague, Vanessa; Massana, Ramon; Pedros-Alio, Carlos] CSIC, Inst Ciencias Mar, CMIMA, Dept Biol Marina & Oceanog, E-08003 Barcelona, Spain.
RP Sánchez, O (corresponding author), Univ Autonoma Barcelona, Dept Genet & Microbiol, Bellaterra 08193, Spain.
EM olga.sanchez@uab.es
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
[Anonymous], MOL MICROBIAL ECOLOG
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Casamayor EO, 2000, APPL ENVIRON MICROB, V66, P499, DOI 10.1128/AEM.66.2.499-508.2000
Castle D, 2004, LIMNOL OCEANOGR-METH, V2, P303, DOI 10.4319/lom.2004.2.303
Celussi M, 2007, GENE, V406, P113, DOI 10.1016/j.gene.2007.07.010
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Crump BC, 2007, APPL ENVIRON MICROB, V73, P6802, DOI 10.1128/AEM.00648-07
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Hahn MW, 2005, APPL ENVIRON MICROB, V71, P766, DOI 10.1128/AEM.71.2.766-773.2005
Kan JJ, 2006, AQUAT MICROB ECOL, V42, P7, DOI 10.3354/ame042007
Kisand V, 2003, APPL ENVIRON MICROB, V69, P3607, DOI 10.1128/AEM.69.6.3607-3616.2003
Klepac-Ceraj V, 2004, ENVIRON MICROBIOL, V6, P686, DOI 10.1111/j.1462-2920.2004.00600.x
Klepac-Ceraj V., 2006, Online J. Bioinformatics, V7, P15
Kong YH, 2001, SYST APPL MICROBIOL, V24, P597, DOI 10.1078/0723-2020-00075
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Riemann L, 1999, DEEP-SEA RES PT II, V46, P1791, DOI 10.1016/S0967-0645(99)00044-2
Sala MM, 2005, FEMS MICROBIOL ECOL, V54, P257, DOI 10.1016/j.femsec.2005.04.005
Sánchez O, 2007, APPL ENVIRON MICROB, V73, P5962, DOI 10.1128/AEM.00817-07
Sapp M, 2007, FEMS MICROBIOL ECOL, V59, P622, DOI 10.1111/j.1574-6941.2006.00238.x
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
SIMU K, 2001, BALT SEA SCI C 2001
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Torsvik V, 1998, J BIOTECHNOL, V64, P53, DOI 10.1016/S0168-1656(98)00103-5
Zo YG, 2008, APPL ENVIRON MICROB, V74, P2915, DOI 10.1128/AEM.02139-07
NR 34
TC 8
Z9 9
PY 2009
VL 54
IS 2
BP 211
EP 216
DI 10.3354/ame01267
UT WOS:000265158200009
DA 2025-07-30
ER
PT J
AU Salcher, MM
Pernthaler, J
Posch, T
AF Salcher, Michaela M.
Pernthaler, Jakob
Posch, Thomas
TI Seasonal bloom dynamics and ecophysiology of the freshwater sister clade
of SAR11 bacteria 'that rule the waves' (LD12)
SO ISME JOURNAL
DT Article
AB Alphaproteobacteria are common members of marine bacterioplankton assemblages, but are believed to be rare in lacustrine systems. However, uncultured Alphaproteobacteria of the freshwater LD12 lineage form a tight monophyletic sister group with the numerically dominant bacteria in marine epipelagic waters, the SAR11 clade or genus Pelagibacter. Comparative rRNA sequence analysis reveals a global occurrence of LD12 bacteria in freshwater systems. The association of genotypic subclades with single-study systems moreover suggests a regional diversification. LD12 bacteria exhibit distinct and annually recurring spatio-temporal distribution patterns in prealpine lakes, as assessed by seasonally resolved vertical profiling and high-throughput cell counting. During the summer months, these ultramicrobacteria can form cell densities in the surface (epilimnetic) water layers that are comparable to those of their marine counterparts (>5 x 10(8) cells per l). LD12 bacteria had a pronounced preference for glutamine and glutamate over 7 other amino acids in situ, and they exhibited substantially higher uptake of these two substrates (and glycine) than the microbial assemblage in general. In addition, members of LD12 were also able to exploit other monomeric sources of organic carbon such as glucose, fructose or acetate. LD12 seemed to follow an oligotrophic lifestyle with slow but efficient uptake already at low substrate concentrations. Thus, LD12 bacteria do not only share phenotypic and metabolic traits with Pelagibacter, but also seem to thrive in the analogous spatiotemporal niche in freshwaters. The two groups together form one of the rare monophyletic lineages of ultramicrobacteria that have successfully traversed the barrier between marine and freshwater habitats. The ISME Journal (2011) 5, 1242-1252; doi:10.1038/ismej.2011.8; published online 17 March 2011
C1 [Salcher, Michaela M.; Pernthaler, Jakob; Posch, Thomas] Univ Zurich, Dept Limnol, Inst Plant Biol, CH-8802 Kilchberg, Switzerland.
RP Salcher, MM (corresponding author), Univ Zurich, Dept Limnol, Inst Plant Biol, Seestr 187, CH-8802 Kilchberg, Switzerland.
EM msalcher@limnol.uzh.ch
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Bossard P, 2001, AQUAT SCI, V63, P225, DOI 10.1007/PL00001353
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Carlsson P, 2001, LIMNOL OCEANOGR, V46, P108, DOI 10.4319/lo.2001.46.1.0108
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Gde H., 1998, ARCH HYDROBIOL SPEC, V53, P85
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P2002, DOI 10.1099/ijs.0.005801-0
Hahn MW, 2010, INT J SYST EVOL MICR, DOI [10.1099/ijs0.017350-0, DOI 10.1099/IJS0.017350-0]
Hosie AHF, 2001, RES MICROBIOL, V152, P259, DOI 10.1016/S0923-2508(01)01197-4
Jezbera J, 2009, INT J SYST EVOL MICR, V59, P2864, DOI 10.1099/ijs.0.010199-0
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
Klammer S., 2002, Water, Air, V2, P137
Lengeler JW, 1999, BIOL PROKARYOTES
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MESSING J, 1983, METHOD ENZYMOL, V101, P20
MORRIS DP, 1992, LIMNOL OCEANOGR, V37, P1179, DOI 10.4319/lo.1992.37.6.1179
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1995, ARCH MICROBIOL, V164, P165, DOI 10.1007/BF02529967
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nicastro D., 2006, MAM, V12, P180, DOI DOI 10.1017/S1431927606067456
Nishimura Y, 2007, AQUAT MICROB ECOL, V48, P231, DOI 10.3354/ame048231
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pernthaler J, 1998, APPL ENVIRON MICROB, V64, P4299
Philosof A, 2009, ENVIRON MICROBIOL, V11, P3189, DOI 10.1111/j.1462-2920.2009.02024.x
Posch T, 2009, AQUAT MICROB ECOL, V54, P113, DOI 10.3354/ame01269
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2008, ENVIRON MICROBIOL, V10, P2074, DOI 10.1111/j.1462-2920.2008.01628.x
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stamatakis A, 2005, CONCURR COMP-PRACT E, V17, P1705, DOI 10.1002/cpe.954
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Urbach E, 2001, LIMNOL OCEANOGR, V46, P557, DOI 10.4319/lo.2001.46.3.0557
Van den Wyngaert S, 2011, LIMNOL OCEANOGR, V56, P97, DOI 10.4319/lo.2011.56.1.0097
Weiss M, 1999, AQUAT MICROB ECOL, V17, P1, DOI 10.3354/ame017001
Wu QL, 2006, FEMS MICROBIOL ECOL, V57, P67, DOI 10.1111/j.1574-6941.2006.00105.x
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 60
TC 149
Z9 164
PD AUG
PY 2011
VL 5
IS 8
BP 1242
EP 1252
DI 10.1038/ismej.2011.8
UT WOS:000295782200002
DA 2025-07-30
ER
PT J
AU Carini, P
Van Mooy, BAS
Thrash, JC
White, A
Zhao, Y
Campbell, EO
Fredricks, HF
Giovannoni, SJ
AF Carini, Paul
Van Mooy, Benjamin A. S.
Thrash, J. Cameron
White, Angelicque
Zhao, Yanlin
Campbell, Emily O.
Fredricks, Helen F.
Giovannoni, Stephen J.
TI SAR11 lipid renovation in response to phosphate starvation
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Phytoplankton inhabiting oligotrophic ocean gyres actively reduce their phosphorus demand by replacing polar membrane phospholipids with those lacking phosphorus. Although the synthesis of nonphosphorus lipids is well documented in some heterotrophic bacterial lineages, phosphorus-free lipid synthesis in oligotrophic marine chemoheterotrophs has not been directly demonstrated, implying they are disadvantaged in phosphate-deplete ecosystems, relative to phytoplankton. Here, we show the SAR11 clade chemoheterotroph Pelagibacter sp. str. HTCC7211 renovates membrane lipids when phosphate starved by replacing a portion of its phospholipids with monoglucosyl- and glucuronosyl-diacylglycerols and by synthesizing new ornithine lipids. Lipid profiles of cells grown with excess phosphate consisted entirely of phospholipids. Conversely, up to 40% of the total lipids were converted to nonphosphorus lipids when cells were starved for phosphate, or when growing on methylphosphonate. Cells sequentially limited by phosphate and methylphosphonate transformed >75% of their lipids to phosphorus-free analogs. During phosphate starvation, a four-gene cluster was significantly up-regulated that likely encodes the enzymes responsible for lipid renovation. These genes were found in Pelagibacterales strains isolated from a phosphate-deficient ocean gyre, but not in other strains from coastal environments, suggesting alternate lipid synthesis is a specific adaptation to phosphate scarcity. Similar gene clusters are found in the genomes of other marine alpha-proteobacteria, implying lipid renovation is a common strategy used by heterotrophic cells to reduce their requirement for phosphorus in oligotrophic habitats.
C1 [Carini, Paul; Zhao, Yanlin; Campbell, Emily O.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Van Mooy, Benjamin A. S.; Fredricks, Helen F.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Thrash, J. Cameron] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
[White, Angelicque] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Aygun-Sunar S, 2006, MOL MICROBIOL, V61, P418, DOI 10.1111/j.1365-2958.2006.05253.x
BENSON AA, 1959, P NATL ACAD SCI USA, V45, P1582, DOI 10.1073/pnas.45.11.1582
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Dyhrman ST, 2006, NATURE, V439, P68, DOI 10.1038/nature04203
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Gao JL, 2004, MOL MICROBIOL, V53, P1757, DOI 10.1111/j.1365-2958.2004.04240.x
Geiger O, 1999, MOL MICROBIOL, V32, P63, DOI 10.1046/j.1365-2958.1999.01325.x
Geiger O, 2010, PROG LIPID RES, V49, P46, DOI 10.1016/j.plipres.2009.08.002
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Hoelzl G, 2007, PROG LIPID RES, V46, P225, DOI 10.1016/j.plipres.2007.05.001
Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
Krumhardt KM, 2013, ENVIRON MICROBIOL, V15, P2114, DOI 10.1111/1462-2920.12079
Lengeler J. W., 1998, BIOL PROKARYOTES
Markowitz VM, 2014, NUCLEIC ACIDS RES, V42, pD560, DOI 10.1093/nar/gkt963
Martin P, 2014, P NATL ACAD SCI USA, V111, P8089, DOI 10.1073/pnas.1321719111
MINNIKIN DE, 1974, NATURE, V249, P268, DOI 10.1038/249268a0
MINNIKIN DE, 1974, FEBS LETT, V43, P257, DOI 10.1016/0014-5793(74)80655-1
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
OLIVER JD, 1973, J BACTERIOL, V114, P897, DOI 10.1128/JB.114.3.897-908.1973
Popendorf KJ, 2013, LIPIDS, V48, P185, DOI 10.1007/s11745-012-3748-0
Popendorf KJ, 2011, ORG GEOCHEM, V42, P803, DOI 10.1016/j.orggeochem.2011.05.003
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Robbertse B, 2011, PLOS CURR-TREE LIFE, DOI 10.1371/currents.RRN1213
Sañudo-Wilhelmy SA, 2001, NATURE, V411, P66, DOI 10.1038/35075041
Semeniuk A, 2014, J BIOL CHEM, V289, P10104, DOI 10.1074/jbc.M113.519298
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Tripp HJ, 2008, NAT PROTOC EXCHANGE
Tyrrell T, 1999, NATURE, V400, P525, DOI 10.1038/22941
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Van Mooy BAS, 2010, GEOCHIM COSMOCHIM AC, V74, P6499, DOI 10.1016/j.gca.2010.08.026
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Weissenmayer B, 2002, MOL MICROBIOL, V45, P721, DOI 10.1046/j.1365-2958.2002.03043.x
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zavaleta-Pastor M, 2010, P NATL ACAD SCI USA, V107, P302, DOI 10.1073/pnas.0912930107
Zhang X, 2009, J AM SOC MASS SPECTR, V20, P198, DOI 10.1016/j.jasms.2008.08.017
NR 46
TC 81
Z9 86
PD JUN 23
PY 2015
VL 112
IS 25
BP 7767
EP 7772
DI 10.1073/pnas.1505034112
UT WOS:000356731300071
DA 2025-07-30
ER
PT J
AU Lami, R
Kirchman, DL
AF Lami, Raphael
Kirchman, David L.
TI Diurnal expression of SAR11 proteorhodopsin and 16S rRNA genes in
coastal North Atlantic waters
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Proteorhodopsins (PR) are phylogenetically widespread and highly expressed proton pumps in marine bacterial communities, including in the SAR11 clade, one of the most common clades in the oceans. The relationships between PR expression, light and cell activity remain unclear, especially in natural environments. We examined these relationships during 3 diurnal studies in spring, summer and fall in Delaware coastal waters. The abundance of genes and transcripts of SAR11 PR, SAR11 16S rRNA and total bacterial 16S rRNA were monitored using a quantitative PCR approach. We found that the expression of SAR11 PR was 2.5-fold higher during the day than at night. However, SAR11 16S rRNA levels remained constant during the day and night on all cruises, suggesting that the growth-related activity of SAR11 was not directly affected by sunlight. There was a tight correlation between expression of PR in SAR11 and photosynthetically active radiation, but not with other environmental parameters. Our data support the hypothesis that light affects PR expression by SAR11 populations, but the energy from PR appears to contribute relatively little to supporting bacterial growth-related activity in marine waters.
C1 [Lami, Raphael; Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
[Lami, Raphael] Univ Paris 06, Sorbonne Univ, USR 3579, LBBM,Observ Oceanol, F-66650 Banyuls Sur Mer, France.
[Lami, Raphael] CNRS, USR 3579, LBBM, Observ Oceanol, F-66650 Banyuls Sur Mer, France.
RP Lami, R (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM raphael.lami@obs-banyuls.fr
CR Akram N, 2013, ENVIRON MICROBIOL, V15, P1400, DOI 10.1111/1462-2920.12085
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Booth MG, 2001, MICROB ECOL, V42, P531, DOI 10.1007/s00248-001-1009-5
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Dempster EL, 1999, BIOTECHNIQUES, V27, P66, DOI 10.2144/99271bm13
Feng S, 2013, ISME J, V7, P2206, DOI 10.1038/ismej.2013.97
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Gasol JM, 1998, MAR ECOL PROG SER, V164, P107, DOI 10.3354/meps164107
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Jeffrey WH, 1996, MAR ECOL PROG SER, V137, P283, DOI 10.3354/meps137283
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
Kirchman DL, 2013, ENV MICROBIOL REP, V5, P188, DOI 10.1111/j.1758-2229.2012.00367.x
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nagata T., 2000, MICROBIAL ECOLOGY OC, P121
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Pernthaler A, 2005, APPL ENVIRON MICROB, V71, P4638, DOI 10.1128/AEM.71.8.4638-4644.2005
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Quince C, 2009, NAT METHODS, V6, P639, DOI [10.1038/nmeth.1361, 10.1038/NMETH.1361]
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
RIEMANN B, 1984, APPL ENVIRON MICROB, V47, P632, DOI 10.1128/AEM.47.4.632-638.1984
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Ruiz-González C, 2012, LIMNOL OCEANOGR, V57, P29, DOI 10.4319/lo.2012.57.1.0029
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Straza TRA, 2011, AQUAT MICROB ECOL, V62, P267, DOI 10.3354/ame01469
Torreton JP, 1996, AQUAT MICROB ECOL, V11, P251, DOI 10.3354/ame011251
VAULOT D, 1995, SCIENCE, V268, P1480, DOI 10.1126/science.268.5216.1480
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
Wang Z, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038749
Yao DH, 2011, ENVIRON MICROBIOL, V13, P1032, DOI 10.1111/j.1462-2920.2010.02408.x
NR 44
TC 9
Z9 10
PY 2014
VL 73
IS 3
BP 185
EP 194
DI 10.3354/ame01716
UT WOS:000347763200001
DA 2025-07-30
ER
PT J
AU Haro-Moreno, JM
Rodriguez-Valera, F
Rosselli, R
Martinez-Hernandez, F
Roda-Garcia, JJ
Gomez, ML
Fornas, O
Martinez-Garcia, M
López-Pérez, M
AF Haro-Moreno, Jose M.
Rodriguez-Valera, Francisco
Rosselli, Riccardo
Martinez-Hernandez, Francisco
Roda-Garcia, Juan J.
Gomez, Monica Lluesma
Fornas, Oscar
Martinez-Garcia, Manuel
Lopez-Perez, Mario
TI Ecogenomics of the SAR11 clade
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Members of the SAR11 clade, despite their high abundance, are often poorly represented by metagenome-assembled genomes. This fact has hampered our knowledge about their ecology and genetic diversity. Here we examined 175 SAR11 genomes, including 47 new single-amplified genomes. The presence of the first genomes associated with subclade IV suggests that, in the same way as subclade V, they might be outside the proposed Pelagibacterales order. An expanded phylogenomic classification together with patterns of metagenomic recruitment at a global scale have allowed us to define new ecogenomic units of classification (genomospecies), appearing at different, and sometimes restricted, metagenomic data sets. We detected greater microdiversity across the water column at a single location than in samples collected from similar depth across the global ocean, suggesting little influence of biogeography. In addition, pangenome analysis revealed that the flexible genome was essential to shape genomospecies distribution. In one genomospecies preferentially found within the Mediterranean, a set of genes involved in phosphonate utilization was detected. While another, with a more cosmopolitan distribution, was unique in having an aerobic purine degradation pathway. Together, these results provide a glimpse of the enormous genomic diversity within this clade at a finer resolution than the currently defined clades.
C1 [Haro-Moreno, Jose M.; Rodriguez-Valera, Francisco; Rosselli, Riccardo; Roda-Garcia, Juan J.; Lopez-Perez, Mario] Univ Miguel Hernandez, Evolutionary Genom Grp, Div Microbiol, Apartado 18, Alicante 03550, Spain.
[Rodriguez-Valera, Francisco] Moscow Inst Phys & Technol, Lab Theoret & Comp Res Biol Macromol & Genomes, Dolgoprudnyi 141701, Russia.
[Rosselli, Riccardo] Royal Netherlands Inst Sea Res NIOZ, Dept Marine Microbiol & Biogeochem, Texel, Netherlands.
[Martinez-Hernandez, Francisco; Gomez, Monica Lluesma; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
[Fornas, Oscar] Pompeu Fabra Univ UPF, Flow Cytometry Unit, Barcelona, Spain.
[Fornas, Oscar] BIST, Ctr Genom Regulat CRG, Barcelona, Spain.
RP López-Pérez, M (corresponding author), Univ Miguel Hernandez, Evolutionary Genom Grp, Div Microbiol, Apartado 18, Alicante 03550, Spain.
EM mario.lopezp@umh.es
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Berman T, 2003, AQUAT MICROB ECOL, V31, P279, DOI 10.3354/ame031279
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cole JR, 2014, NUCLEIC ACIDS RES, V42, pD633, DOI 10.1093/nar/gkt1244
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Dixon P, 2003, J VEG SCI, V14, P927, DOI 10.1658/1100-9233(2003)014[0927:VAPORF]2.0.CO;2
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Feingersch R, 2012, ISME J, V6, P827, DOI 10.1038/ismej.2011.149
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Haroon MF, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.50
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Kenitz K, 2013, MAR ECOL PROG SER, V490, P107, DOI 10.3354/meps10452
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Kürten B, 2019, PROG OCEANOGR, V173, P238, DOI 10.1016/j.pocean.2019.02.007
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lasken RS, 2012, NAT REV MICROBIOL, V10, P631, DOI 10.1038/nrmicro2857
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Li H, 2009, BIOINFORMATICS, V25, P1754, DOI [10.1093/bioinformatics/btp352, 10.1093/bioinformatics/btp324, 10.1093/bioinformatics/btp698]
López-Pérez M, 2014, FRONT GENET, V5, DOI 10.3389/fgene.2014.00147
López-Pérez M, 2013, GENOME BIOL EVOL, V5, P1220, DOI 10.1093/gbe/evt089
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Luo HW, 2015, MOL BIOL EVOL, V32, P2738, DOI 10.1093/molbev/msv149
Martínez-García M, 2007, ENVIRON MICROBIOL, V9, P521, DOI 10.1111/j.1462-2920.2006.01170.x
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
MILKMAN R, 1993, GENETICS, V133, P455
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nawrocki E.P., 2009, STRUCTURAL RNA HOMOL, P281
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pollard R, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC003076
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ragonnet-Cronin M, 2013, BMC BIOINFORMATICS, V14, DOI 10.1186/1471-2105-14-317
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Rinke C, 2014, NAT PROTOC, V9, P1038, DOI 10.1038/nprot.2014.067
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Sedlazeck FJ, 2018, NAT REV GENET, V19, P329, DOI 10.1038/s41576-018-0003-4
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stepanauskas R, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00128-z
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
TAM R, 1993, MICROBIOL REV, V57, P320, DOI 10.1128/MMBR.57.2.320-346.1993
Tanhua T, 2013, OCEAN SCI, V9, P789, DOI 10.5194/os-9-789-2013
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Thorpe JD, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0001281
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Tully BJ, 2017, PEERJ, V5, DOI 10.7717/peerj.3558
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wu J, 2008, ADV EXP MED BIOL, V631, P131, DOI 10.1007/978-0-387-78885-2_9
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, P1, DOI DOI 10.1186/GB-2013-14-11-R130
NR 85
TC 58
Z9 64
PD MAY
PY 2020
VL 22
IS 5
BP 1748
EP 1763
DI 10.1111/1462-2920.14896
EA DEC 2019
UT WOS:000504289300001
DA 2025-07-30
ER
PT J
AU White, AE
Giovannoni, SI
Zhao, YL
Vergin, K
Carlson, CA
AF White, Angelicque E.
Giovannoni, Stephen, I
Zhao, Yanlin
Vergin, Kevin
Carlson, Craig A.
TI Elemental content and stoichiometry of SAR11 chemoheterotrophic marine
bacteria
SO LIMNOLOGY AND OCEANOGRAPHY LETTERS
DT Article
AB We measured the carbon, nitrogen, and phosphorus content and production of cultured SAR11 cells in the genus Pelagibacter, from members of the 1a.1 and 1a.3 lineages, which are adapted to productive coastal waters and oligotrophic tropical/subtropical environments, respectively. The average growing SAR11 cell contained -6.5 fgC, from which we calculated a global standing stock of 1.4x10(13)gC. Calculations that consider uncertainties in cell turnover rates and growth efficiencies indicate this stock could oxidize 6% to 37% of gross ocean primary production. We also found that SAR11 do not incorporate H-3-thymidine but do incorporate H-3-leucine. We estimate conversion factors of 0.74-1.51kgCmol(-1) leu, which are comparable to the low end of published leucine conversion factors for marine chemoheterotrophic bacterioplankton production. The molar ratio of elements C : N : P in growing cells was on average 25 : 6 : 1, significantly less than the mean (-50 : 10 : 1) for heterotrophic bacteria, indicating these strains are C and N poor relative to P.
C1 [White, Angelicque E.] Univ Hawaii, Dept Oceanog, Honolulu, HI 96822 USA.
[White, Angelicque E.] Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Honolulu, HI USA.
[Giovannoni, Stephen, I; Zhao, Yanlin; Vergin, Kevin] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Carlson, Craig A.] Univ Calif Santa Barbara, Marine Sci Inst, Santa Barbara, CA 93106 USA.
[Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll Life Sci, Fuzhou, Fujian, Peoples R China.
RP Giovannoni, SI (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Alonso-Sáez L, 2007, LIMNOL OCEANOGR, V52, P533, DOI 10.4319/lo.2007.52.2.0533
Bertilsson S, 2003, LIMNOL OCEANOGR, V48, P1721, DOI 10.4319/lo.2003.48.5.1721
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Calvo-Díaz A, 2009, APPL ENVIRON MICROB, V75, P3216, DOI 10.1128/AEM.01570-08
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Cermak N, 2017, ISME J, V11, P825, DOI 10.1038/ismej.2016.161
CHRISTIAN JR, 1994, J GEOPHYS RES-OCEANS, V99, P14269, DOI 10.1029/94JC00681
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Fagerbakke KM, 1996, AQUAT MICROB ECOL, V10, P15, DOI 10.3354/ame010015
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Gundersen K, 2002, LIMNOL OCEANOGR, V47, P1525, DOI 10.4319/lo.2002.47.5.1525
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Hebel DV, 2001, DEEP-SEA RES PT II, V48, P1669, DOI 10.1016/S0967-0645(00)00155-7
Hellweger FL, 2018, ISME J, V12, P1180, DOI 10.1038/s41396-017-0023-7
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
KIRCHMAN DL, 1986, MAR ECOL PROG SER, V32, P47, DOI 10.3354/meps032047
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Marra J., 2002, PHYTOPLANKTON PRODUC, P78, DOI DOI 10.1002/9780470995204.CH4
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Romanova ND, 2010, OCEANOLOGY+, V50, P522, DOI 10.1134/S0001437010040089
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vrede K, 2002, APPL ENVIRON MICROB, V68, P2965, DOI 10.1128/AEM.68.6.2965-2971.2002
Westberry T, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003078
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zimmerman AE, 2014, ENVIRON MICROBIOL, V16, P1398, DOI 10.1111/1462-2920.12329
NR 34
TC 30
Z9 33
PD APR
PY 2019
VL 4
IS 2
BP 44
EP 51
DI 10.1002/lol2.10103
UT WOS:000460720800002
DA 2025-07-30
ER
PT J
AU Sun, J
Steindler, L
Thrash, JC
Halsey, KH
Smith, DP
Carter, AE
Landry, ZC
Giovannoni, SJ
AF Sun, Jing
Steindler, Laura
Thrash, J. Cameron
Halsey, Kimberly H.
Smith, Daniel P.
Carter, Amy E.
Landry, Zachary C.
Giovannoni, Stephen J.
TI One Carbon Metabolism in SAR11 Pelagic Marine Bacteria
SO PLOS ONE
DT Article
AB The SAR11 Alphaproteobacteria are the most abundant heterotrophs in the oceans and are believed to play a major role in mineralizing marine dissolved organic carbon. Their genomes are among the smallest known for free-living heterotrophic cells, raising questions about how they successfully utilize complex organic matter with a limited metabolic repertoire. Here we show that conserved genes in SAR11 subgroup Ia (Candidatus Pelagibacter ubique) genomes encode pathways for the oxidation of a variety of one-carbon compounds and methyl functional groups from methylated compounds. These pathways were predicted to produce energy by tetrahydrofolate (THF)-mediated oxidation, but not to support the net assimilation of biomass from C1 compounds. Measurements of cellular ATP content and the oxidation of C-14-labeled compounds to (CO2)-C-14 indicated that methanol, formaldehyde, methylamine, and methyl groups from glycine betaine (GBT), trimethylamine (TMA), trimethylamine N-oxide (TMAO), and dimethylsulfoniopropionate (DMSP) were oxidized by axenic cultures of the SAR11 strain Ca. P. ubique HTCC1062. Analyses of metagenomic data showed that genes for C1 metabolism occur at a high frequency in natural SAR11 populations. In short term incubations, natural communities of Sargasso Sea microbial plankton expressed a potential for the oxidation of C-14-labeled formate, formaldehyde, methanol and TMAO that was similar to cultured SAR11 cells and, like cultured SAR11 cells, incorporated a much larger percentage of pyruvate and glucose (27-35%) than of C1 compounds (2-6%) into biomass. Collectively, these genomic, cellular and environmental data show a surprising capacity for demethylation and C1 oxidation in SAR11 cultures and in natural microbial communities dominated by SAR11, and support the conclusion that C1 oxidation might be a significant conduit by which dissolved organic carbon is recycled to CO2 in the upper ocean.
C1 [Sun, Jing; Steindler, Laura; Thrash, J. Cameron; Smith, Daniel P.; Carter, Amy E.; Landry, Zachary C.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Halsey, Kimberly H.] Oregon State Univ, Dept Bot & Plant Pathol, Corvallis, OR 97331 USA.
RP Sun, J (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
[Anonymous], 2000, GRAPH CLUSTERING FLO
Antoine E, 1999, EUR J BIOCHEM, V264, P880, DOI 10.1046/j.1432-1327.1999.00685.x
APPLING DR, 1991, FASEB J, V5, P2645, DOI 10.1096/fasebj.5.12.1916088
Arfman N, 1997, EUR J BIOCHEM, V244, P426, DOI 10.1111/j.1432-1033.1997.00426.x
Atteia A, 2009, MOL BIOL EVOL, V26, P1533, DOI 10.1093/molbev/msp068
Barra L, 2006, J BACTERIOL, V188, P7195, DOI 10.1128/JB.00208-06
BARRETT EL, 1985, ANNU REV MICROBIOL, V39, P131, DOI 10.1146/annurev.mi.39.100185.001023
BENBASSAT A, 1980, J GEN MICROBIOL, V116, P213
BICKNELL B, 1980, J GEN MICROBIOL, V117, P89
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bystrykh Leonid V., 1993, P245
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chen Y, 2010, APPL ENVIRON MICROB, V76, P4102, DOI 10.1128/AEM.00469-10
Chistoserdova L, 2004, J BACTERIOL, V186, P22, DOI 10.1128/JB.186.1.22-28.2004
Chistoserdova L, 1998, SCIENCE, V281, P99, DOI 10.1126/science.281.5373.99
Chistoserdova L, 2003, J BACTERIOL, V185, P2980, DOI 10.1128/JB.185.10.2980-2987.2003
Chistoserdova L, 2007, J BACTERIOL, V189, P9076, DOI 10.1128/JB.01229-07
Chistoserdova L, 2009, ANNU REV MICROBIOL, V63, P477, DOI 10.1146/annurev.micro.091208.073600
CHLUMSKY LJ, 1995, J BIOL CHEM, V270, P18252, DOI 10.1074/jbc.270.31.18252
CRAFT TR, 1987, MUTAT RES, V176, P147, DOI 10.1016/0027-5107(87)90262-4
Dehal PS, 2010, NUCLEIC ACIDS RES, V38, pD396, DOI 10.1093/nar/gkp919
DEVRIES GE, 1992, J BACTERIOL, V174, P5346, DOI 10.1128/JB.174.16.5346-5353.1992
DIAZ MR, 1992, FEMS MICROBIOL LETT, V96, P61, DOI 10.1111/j.1574-6968.1992.tb05394.x
Dixon JL, 2011, ISME J, V5, P704, DOI 10.1038/ismej.2010.169
Dworkin M., 2006, The Prokaryotes: Symbiotic associations, biotechnology, applied microbiology, V3rd
Edgar RC, 2004, BMC BIOINFORMATICS, V5, P1, DOI 10.1186/1471-2105-5-113
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Finn RD, 2010, NUCLEIC ACIDS RES, V38, pD211, DOI 10.1093/nar/gkp985
Gabaldón T, 2007, PLOS COMPUT BIOL, V3, P2209, DOI 10.1371/journal.pcbi.0030219
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Goenrich M, 2002, J BIOL CHEM, V277, P3069, DOI 10.1074/jbc.C100579200
Goode JG, 2000, J GEOPHYS RES-ATMOS, V105, P22147, DOI 10.1029/2000JD900287
GRAFSTROM RC, 1983, SCIENCE, V220, P216, DOI 10.1126/science.6828890
Guse A, 2003, J BIOL CHEM, V278, P25302, DOI 10.1074/jbc.M302639200
Harms N, 1996, J BACTERIOL, V178, P6296, DOI 10.1128/jb.178.21.6296-6299.1996
Hasona A, 1998, J BACTERIOL, V180, P1466, DOI 10.1128/JB.180.6.1466-1472.1998
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
HENDERSON JF, 1979, BIOCHEM EDUC, V7, P51
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
JONES DP, 1978, J BIOL CHEM, V253, P6031
Kanehisa M, 2010, NUCLEIC ACIDS RES, V38, pD355, DOI 10.1093/nar/gkp896
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
Kiene RP, 1998, APPL ENVIRON MICROB, V64, P1045
King GM, 2007, NAT REV MICROBIOL, V5, P107, DOI 10.1038/nrmicro1595
Latypova E, 2010, MOL MICROBIOL, V75, P426, DOI 10.1111/j.1365-2958.2009.06989.x
Lin CN, 2010, J BIOMED SCI, V17, DOI 10.1186/1423-0127-17-84
Liu XQ, 2009, MICROBIOL-SGM, V155, P2078, DOI 10.1099/mic.0.027201-0
MANIAN SS, 1984, APPL ENVIRON MICROB, V48, P276, DOI 10.1128/AEM.48.2.276-279.1984
McDowell L.R., 2000, VITAMINS ANIMAL HUMA
Meskys R, 2001, EUR J BIOCHEM, V268, P3390, DOI 10.1046/j.1432-1327.2001.02239.x
MOPPER K, 1991, NATURE, V353, P60, DOI 10.1038/353060a0
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pike ST, 2010, J BIOL CHEM, V285, P4612, DOI 10.1074/jbc.M109.079855
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
RAS J, 1995, J BACTERIOL, V177, P247, DOI 10.1128/jb.177.1.247-251.1995
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Robbertse B, 2006, FUNGAL GENET BIOL, V43, P715, DOI 10.1016/j.fgb.2006.05.001
Robbertse B, 2011, PLOS CURR-TREE LIFE, DOI 10.1371/currents.RRN1213
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Scott DA, 2008, J BIOL CHEM, V283, P155, DOI 10.1074/jbc.M708014200
Scrutton NS, 2005, BIOCHEM SOC T, V33, P776, DOI 10.1042/BST0330776
Serra AL, 2002, J BACTERIOL, V184, P4301, DOI 10.1128/JB.184.15.4301-4303.2002
Singh HB, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017933
SINGH RK, 1984, J BIOSCIENCE, V6, P181, DOI 10.1007/BF02702639
Sorokin DY, 2010, MICROBIOL-SGM, V156, P819, DOI 10.1099/mic.0.033712-0
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Studer A, 2002, J BACTERIOL, V184, P3476, DOI 10.1128/JB.184.13.3476-3484.2002
Teplyakov A, 2004, J BACTERIOL, V186, P7134, DOI 10.1128/JB.186.21.7134-7140.2004
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Vandecasteele JP., 2008, Petroleum microbiology: concepts, environmental implications, industrial applications
Vorholt JA, 2002, ARCH MICROBIOL, V178, P239, DOI 10.1007/s00203-002-0450-2
Vorholt JA, 1999, J BACTERIOL, V181, P5750, DOI 10.1128/JB.181.18.5750-5757.1999
Wang W, 2002, APPL MICROBIOL BIOT, V60, P139, DOI 10.1007/s00253-002-1093-6
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wilson SM, 2008, MICROBIOL-SGM, V154, P296, DOI 10.1099/mic.0.2007/011346-0
ZIMMERMAN PR, 1978, GEOPHYS RES LETT, V5, P679, DOI 10.1029/GL005i008p00679
NR 82
TC 141
Z9 155
PD AUG 23
PY 2011
VL 6
IS 8
AR e23973
DI 10.1371/journal.pone.0023973
UT WOS:000294253500041
DA 2025-07-30
ER
PT J
AU Carini, P
White, AE
Campbell, EO
Giovannoni, SJ
AF Carini, Paul
White, Angelicque E.
Campbell, Emily O.
Giovannoni, Stephen J.
TI Methane production by phosphate-starved SAR11 chemoheterotrophic marine
bacteria
SO NATURE COMMUNICATIONS
DT Article
AB The oxygenated surface waters of the world's oceans are supersaturated with methane relative to the atmosphere, a phenomenon termed the 'marine methane paradox'. The production of methylphosphonic acid (MPn) by marine archaea related to Nitrosopumilus maritimus and subsequent decomposition of MPn by phosphate-starved bacterioplankton may partially explain the excess methane in surface waters. Here we show that Pelagibacterales sp. strain HTCC7211, an isolate of the SAR11 clade of marine alpha-proteobacteria, produces methane from MPn, stoichiometric to phosphorus consumption, when starved for phosphate. Gene transcripts encoding phosphonate transport and hydrolysis proteins are upregulated under phosphate limitation, suggesting a genetic basis for the methanogenic phenotype. Strain HTCC7211 can also use 2-aminoethylphosphonate and assorted phosphate esters for phosphorus nutrition. Despite strain-specific differences in phosphorus utilization, these findings identify Pelagibacterales bacteria as a source of biogenic methane and further implicate phosphate starvation of chemoheterotrophic bacteria in the long-observed methane supersaturation in oxygenated waters.
C1 [Carini, Paul; Campbell, Emily O.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[White, Angelicque E.] Oregon State Univ, Coll Earth, Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Aravind L, 1998, TRENDS BIOCHEM SCI, V23, P469, DOI 10.1016/S0968-0004(98)01293-6
Baldi P, 2001, BIOINFORMATICS, V17, P509, DOI 10.1093/bioinformatics/17.6.509
Beversdorf LJ, 2010, LIMNOL OCEANOGR, V55, P1768, DOI 10.4319/lo.2010.55.4.1768
BURKE RA, 1983, LIMNOL OCEANOGR, V28, P19, DOI 10.4319/lo.1983.28.1.0019
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Damm E, 2010, BIOGEOSCIENCES, V7, P1099, DOI 10.5194/bg-7-1099-2010
DAUGHTON CG, 1979, FEMS MICROBIOL LETT, V5, P91, DOI 10.1111/j.1574-6968.1979.tb03254.x
DAUGHTON CG, 1979, APPL ENVIRON MICROB, V37, P605, DOI 10.1128/AEM.37.3.605-609.1979
Davis CS, 2006, SCIENCE, V312, P1517, DOI 10.1126/science.1123570
Dyhrman ST, 2006, NATURE, V439, P68, DOI 10.1038/nature04203
Fischer D, 1999, BIOINFORMATICS, V15, P759, DOI 10.1093/bioinformatics/15.9.759
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Holmes ME, 2000, GLOBAL BIOGEOCHEM CY, V14, P1, DOI 10.1029/1999GB001209
Kamat SS, 2011, NATURE, V480, P570, DOI 10.1038/nature10622
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
Kiene R.P., 1991, MICROBIAL PRODUCTION, P111, DOI DOI 10.1016/0169-5347(93)90172-L
Letelier RM, 1996, MAR ECOL PROG SER, V133, P263, DOI 10.3354/meps133263
Luo HW, 2009, P NATL ACAD SCI USA, V106, P21219, DOI 10.1073/pnas.0907586106
Martínez A, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00340
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Martiny AC., 2011, Handbook of Molecular Microbial Ecology II: Metagenomics in Different Habitats, VII, P269
Metcalf WW, 2012, SCIENCE, V337, P1104, DOI 10.1126/science.1219875
METCALF WW, 1991, J BACTERIOL, V173, P587, DOI 10.1128/jb.173.2.587-600.1991
METCALF WW, 1993, J BACTERIOL, V175, P3430, DOI 10.1128/jb.175.11.3430-3442.1993
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
Newell SE, 2013, LIMNOL OCEANOGR, V58, P1491, DOI 10.4319/lo.2013.58.4.1491
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reeburgh WS, 2007, CHEM REV, V107, P486, DOI 10.1021/cr050362v
Sansone FJ, 2004, LIMNOL OCEANOGR, V49, P2242, DOI 10.4319/lo.2004.49.6.2242
Sasakawa M, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004217
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Storey JD, 2003, P NATL ACAD SCI USA, V100, P9440, DOI 10.1073/pnas.1530509100
TILBROOK BD, 1995, MAR CHEM, V49, P51, DOI 10.1016/0304-4203(94)00058-L
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
VALDERRAMA JC, 1981, MAR CHEM, V10, P109, DOI 10.1016/0304-4203(81)90027-X
Valentine DL, 2011, ANNU REV MAR SCI, V3, P147, DOI 10.1146/annurev-marine-120709-142734
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Villarreal-Chiu JF, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00019
WACKETT LP, 1987, J BACTERIOL, V169, P1753, DOI 10.1128/jb.169.4.1753-1756.1987
WANNER BL, 1992, FEMS MICROBIOL LETT, V100, P133, DOI 10.1016/0378-1097(92)90200-8
White AK, 2007, ANNU REV MICROBIOL, V61, P379, DOI 10.1146/annurev.micro.61.080706.093357
White A, 2010, LIBR J, V135, P101
NR 49
TC 119
Z9 144
PD JUL
PY 2014
VL 5
AR 4346
DI 10.1038/ncomms5346
UT WOS:000340615500037
DA 2025-07-30
ER
PT J
AU Giovannoni, SJ
Bibbs, L
Cho, JC
Stapels, MD
Desiderio, R
Vergin, KL
Rappé, MS
Laney, S
Wilhelm, LJ
Tripp, HJ
Mathur, EJ
Barofsky, DF
AF Giovannoni, SJ
Bibbs, L
Cho, JC
Stapels, MD
Desiderio, R
Vergin, KL
Rappé, MS
Laney, S
Wilhelm, LJ
Tripp, HJ
Mathur, EJ
Barofsky, DF
TI Proteorhodopsin in the ubiquitous marine bacterium SAR11
SO NATURE
DT Article
AB Proteorhodopsins are light-dependent proton pumps that are predicted to have an important role in the ecology of the oceans by supplying energy for microbial metabolism(1,2). Proteorhodopsin genes were first discovered through the cloning and sequencing of large genomic DNA fragments from seawater(1). They were later shown to be widely distributed, phylogenetically diverse, and active in the oceans(3-7). Proteorhodopsin genes have not been found in cultured bacteria, and on the basis of environmental sequence data, it has not yet been possible to reconstruct the genomes of uncultured bacterial strains that have proteorhodopsin genes. Although the metabolic effect of proteorhodopsins is uncertain, they are thought to function in cells for which the primary mode of metabolism is the heterotrophic assimilation of dissolved organic carbon. Here we report that SAR11 strain HTCC1062 ('Pelagibacter ubique')(8), the first cultivated member of the extraordinarily abundant SAR11 clade, expresses a proteorhodopsin gene when cultured in autoclaved seawater and in its natural environment, the ocean. The Pelagibacter proteorhodopsin functions as a light-dependent proton pump. The gene is expressed by cells grown in either diurnal light or in darkness, and there is no difference between the growth rates or cell yields of cultures grown in light or darkness.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
Oregon State Univ, Dept Chem, Corvallis, OR 97331 USA.
Oregon State Univ, Coll Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
Diversa Corp, San Diego, CA 92121 USA.
RP Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Huelsenbeck JP, 2001, BIOINFORMATICS, V17, P754, DOI 10.1093/bioinformatics/17.8.754
Kimura, 1983, NEUTRAL THEORY MOL E
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Man-Aharonovich D, 2004, PHOTOCH PHOTOBIO SCI, V3, P459, DOI 10.1039/b316071h
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Peck RF, 2002, J BACTERIOL, V184, P2889, DOI 10.1128/JB.184.11.2889-2897.2002
Perkins DN, 1999, ELECTROPHORESIS, V20, P3551, DOI 10.1002/(SICI)1522-2683(19991201)20:18<3551::AID-ELPS3551>3.0.CO;2-2
Ram RJ, 2005, SCIENCE, V308, P1915, DOI 10.1126/science. 1109070
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Stapels Martha D, 2004, J Biomol Tech, V15, P191
Stapels MD, 2004, ANAL CHEM, V76, P5423, DOI 10.1021/ac030427z
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang WW, 2003, J BIOL CHEM, V278, P33985, DOI 10.1074/jbc.M305716200
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
NR 21
TC 251
Z9 287
PD NOV 3
PY 2005
VL 438
IS 7064
BP 82
EP 85
DI 10.1038/nature04032
UT WOS:000232979000045
DA 2025-07-30
ER
PT J
AU Carlson, CA
Morris, R
Parsons, R
Treusch, AH
Giovannoni, SJ
Vergin, K
AF Carlson, Craig A.
Morris, Robert
Parsons, Rachel
Treusch, Alexander H.
Giovannoni, Stephen J.
Vergin, Kevin
TI Seasonal dynamics of SAR11 populations in the euphotic and mesopelagic
zones of the northwestern Sargasso Sea
SO ISME JOURNAL
DT Article
AB Bacterioplankton belonging to the SAR11 clade of alpha-proteobacteria were counted by fluorescence in situ hybridization (FISH) over eight depths in the surface 300m at the Bermuda Atlantic Time-series Study (BATS) site from 2003 to 2005. SAR11 are dominant heterotrophs in oligotrophic systems; thus, resolving their temporal dynamics can provide important insights to the cycling of organic and inorganic nutrients. This quantitative time-series data revealed distinct annual distribution patterns of SAR11 abundance in the euphotic (0-120) and upper mesopelagic (160-300 m) zones that were reproducibly correlated with seasonal mixing and stratification of the water column. Terminal restriction fragment length polymorphism (T-RFLP) data generated from a decade of samples collected at BATS were combined with the FISH data to model the annual dynamics of SAR11 subclade populations. 16S rRNA gene clone libraries were constructed to verify the correlation of the T-RFLP data with SAR11 clade structure. Clear vertical and temporal transitions were observed in the dominance of three SAR11 ecotypes. The mechanisms that lead to shifts between the different SAR11 populations are not well understood, but are probably a consequence of finely tuned physiological adaptations that partition the populations along physical and chemical gradients in the ecosystem. The correlation between evolutionary descent and temporal/spatial patterns we describe, confirmed that a minimum of three SAR11 ecotypes occupy the Sargasso Sea surface layer, and revealed new details of their population dynamics.
C1 [Carlson, Craig A.; Morris, Robert] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Morris, Robert] Univ Washington, Dept Oceanog, Seattle, WA 98195 USA.
[Parsons, Rachel] Bermuda Inst Ocean Sci, Ferry Reach GE01, St Georges, Bermuda.
[Treusch, Alexander H.; Giovannoni, Stephen J.; Vergin, Kevin] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Carlson, CA (corresponding author), Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
EM carlson@lifesci.ucsb.edu
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, DEEP-SEA RES PT II, V43, P491, DOI 10.1016/0967-0645(95)00101-8
CARLSON CA, 1994, NATURE, V371, P405, DOI 10.1038/371405a0
Castle D, 2004, LIMNOL OCEANOGR-METH, V2, P303, DOI 10.4319/lom.2004.2.303
Cohan FM, 2006, PHILOS T R SOC B, V361, P1985, DOI 10.1098/rstb.2006.1918
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Egert M, 2003, APPL ENVIRON MICROB, V69, P2555, DOI 10.1128/AEM.69.5.2555-2562.2003
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GOLDBERG SJ, 2008, DEEP SEA RE IN PRESS
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Hansell DA, 2001, DEEP-SEA RES PT II, V48, P1649, DOI 10.1016/S0967-0645(00)00153-3
Hood RR, 2006, DEEP-SEA RES PT II, V53, P459, DOI 10.1016/j.dsr2.2006.01.025
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Karl DM, 2003, NATURE, V426, P32, DOI 10.1038/426032a
Keil RG, 1999, AQUAT MICROB ECOL, V18, P293, DOI 10.3354/ame018293
Kitts C L, 2001, Curr Issues Intest Microbiol, V2, P17
Koeppel A, 2008, P NATL ACAD SCI USA, V105, P2504, DOI 10.1073/pnas.0712205105
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Nagata T., 2000, MICROBIAL ECOLOGY OC, P121
OSBORN AM, 2006, ENVIRON MICROBIOL, V2, P39
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Reinthaler T, 2006, LIMNOL OCEANOGR, V51, P1262, DOI 10.4319/lo.2006.51.3.1262
Ricke P, 2005, APPL ENVIRON MICROB, V71, P1671, DOI 10.1128/AEM.71.3.1671-1673.2005
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
SPRINTALL J, 1992, J GEOPHYS RES-OCEANS, V97, P7305, DOI 10.1029/92JC00407
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Swofford D. L., 2003, PAUP PHYLOGENETIC AN
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
TRIPP HJ, 2008, ENV MICROBI IN PRESS
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Zafiriou OC, 2008, LIMNOL OCEANOGR, V53, P835, DOI 10.4319/lo.2008.53.2.0835
NR 55
TC 219
Z9 251
PD MAR
PY 2009
VL 3
IS 3
BP 283
EP 295
DI 10.1038/ismej.2008.117
UT WOS:000263914100002
DA 2025-07-30
ER
PT J
AU Vila-Nistal, M
Logares, R
Gasol, JM
Martinez-Garcia, M
AF Vila-Nistal, Marina
Logares, Ramiro
Gasol, Josep M.
Martinez-Garcia, Manuel
TI Time Series Data Provide Insights into the Evolution and Abundance of
One of the Most Abundant Viruses in the Marine Virosphere: The
Uncultured Pelagiphages vSAG 37-F6
SO VIRUSES-BASEL
DT Article
AB Viruses play a pivotal role in ecosystems by influencing biochemical cycles and impacting the structure and evolution of their host cells. The widespread pelagiphages infect Pelagibacter spp., the most abundant marine microbe on Earth, and thus play a significant role in carbon transformation through the viral shunt. Among these viruses, the uncultured lytic pelagiphage vSAG 37-F6, uncovered by single-virus genomics, is likely the most numerous virus in the ocean. While previous research has delved into the diversity and spatial distribution of vSAG 37-F6, there is still a gap in understanding its temporal dynamics, hindering our insight into its ecological impact. We explored the temporal dynamics of vSAG 37-F6, assessing periodic fluctuations in abundance and evolutionary patterns using long- and short-term data series. In the long-term series (7 years), metagenomics showed negative selection acting on all viral genes, with a highly conserved overall diversity over time composed of a pool of yearly emergent, highly similar novel strains that exhibited a seasonal abundance pattern with two peaks during winter and fall and a decrease in months with higher UV radiation. Most non-synonymous polymorphisms occurred in structural viral proteins located in regions with low conformational restrictions, suggesting that many of the viral genes of this population are highly purified over its evolution. At the fine-scale resolution (24 h time series), combining digital PCR and metagenomics, we identified two peaks of cellular infection for the targeted vSAG 37-F6 viral strain (up to approximately 103 copies/ng of prokaryotic DNA), one before sunrise and the second shortly after midday. Considering the high number of co-occurring strains of this microdiverse virus, the abundance values at the species or genus level could be orders of magnitudes higher. These findings represent a significant advancement in understanding the dynamics of the potentially most abundant oceanic virus, providing valuable insights into ecologically relevant marine viruses.
C1 [Vila-Nistal, Marina; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Carretera San Vicente Raspeig, Alicante 03690, Spain.
[Vila-Nistal, Marina; Martinez-Garcia, Manuel] Univ Alicante, Multidisciplinary Inst Environm Studies IMEM, Carretera San Vicente Raspeig, Alicante 03690, Spain.
[Logares, Ramiro; Gasol, Josep M.] CSIC, Inst Ciencies Mar ICM, Barcelona 08003, Spain.
RP Martinez-Garcia, M (corresponding author), Univ Alicante, Dept Physiol Genet & Microbiol, Carretera San Vicente Raspeig, Alicante 03690, Spain.; Martinez-Garcia, M (corresponding author), Univ Alicante, Multidisciplinary Inst Environm Studies IMEM, Carretera San Vicente Raspeig, Alicante 03690, Spain.
EM marina.vila@ua.es; ramiro.logares@icm.csic.es; pepgasol@icm.csic.es;
m.martinez@ua.es
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
BRATBAK G, 1993, MAR ECOL PROG SER, V93, P39, DOI 10.3354/meps093039
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brussaard CPD, 2008, ISME J, V2, P575, DOI 10.1038/ismej.2008.31
Carlson MCG, 2022, NAT MICROBIOL, V7, P570, DOI 10.1038/s41564-022-01088-x
Castelán-Sánchez HG, 2019, MAR GENOM, V46, P16, DOI 10.1016/j.margen.2019.03.001
Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Danovaro R, 2011, FEMS MICROBIOL REV, V35, P993, DOI 10.1111/j.1574-6976.2010.00258.x
Du S, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000596
Ferrera I, 2024, ENV MICROBIOL REP, V16, DOI 10.1111/1758-2229.13299
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Häder DP, 2023, WATER-SUI, V15, DOI 10.3390/w15040817
Coutinho FH, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00554-19
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kuhlisch C, 2024, NAT REV MICROBIOL, V22, P138, DOI 10.1038/s41579-023-00975-2
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Lopez-Simon J, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-44028-x
Martínez JM, 2020, NAT REV MICROBIOL, V18, P705, DOI 10.1038/s41579-020-00444-0
Martinez-Hernandez F, 2022, ISME J, V16, P1025, DOI 10.1038/s41396-021-01150-2
Martinez-Hernandez F, 2020, ENV MICROBIOL REP, V12, P214, DOI 10.1111/1758-2229.12825
Martinez-Hernandez F, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01226
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Matallana-Surget S, 2013, PROTEOMES, V1, DOI 10.3390/proteomes1020070
McMullen A, 2019, ENV MICROBIOL REP, V11, P855, DOI 10.1111/1758-2229.12804
Nurk Sergey, 2013, Research in Computational Molecular Biology. 17th Annual International Conference (RECOMB 2013). Proceedings, P158, DOI 10.1007/978-3-642-37195-0_13
Olm MR, 2021, NAT BIOTECHNOL, V39, P727, DOI 10.1038/s41587-020-00797-0
Ortmann AC, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw133
Peng YY, 2023, ISME J, V17, P1774, DOI 10.1038/s41396-023-01491-0
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Sieradzki ET, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09106-z
SUTTLE CA, 1994, MICROBIAL ECOL, V28, P237, DOI 10.1007/BF00166813
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tucker SJ, 2021, PEERJ, V9, DOI 10.7717/peerj.12274
Vlok M, 2019, MSPHERE, V4, DOI 10.1128/mSphereDirect.00157-19
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Zayed AA, 2022, SCIENCE, V376, P156, DOI 10.1126/science.abm5847
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 44
TC 0
Z9 0
PD NOV
PY 2024
VL 16
IS 11
AR 1669
DI 10.3390/v16111669
UT WOS:001366371000001
DA 2025-07-30
ER
PT J
AU Thrash, JC
Temperton, B
Swan, BK
Landry, ZC
Woyke, T
DeLong, EF
Stepanauskas, R
Giovannoni, SJ
AF Thrash, J. Cameron
Temperton, Ben
Swan, Brandon K.
Landry, Zachary C.
Woyke, Tanja
DeLong, Edward F.
Stepanauskas, Ramunas
Giovannoni, Stephan J.
TI Single-cell enabled comparative genomics of a deep ocean SAR11 bathytype
SO ISME JOURNAL
DT Article
AB Bacterioplankton of the SAR11 clade are the most abundant microorganisms in marine systems, usually representing 25% or more of the total bacterial cells in seawater worldwide. SAR11 is divided into subclades with distinct spatiotemporal distributions (ecotypes), some of which appear to be specific to deep water. Here we examine the genomic basis for deep ocean distribution of one SAR11 bathytype (depth-specific ecotype), subclade Ic. Four single-cell Ic genomes, with estimated completeness of 55%-86%, were isolated from 770m at station ALOHA and compared with eight SAR11 surface genomes and metagenomic datasets. Subclade Ic genomes dominated metagenomic fragment recruitment below the euphotic zone. They had similar COG distributions, high local synteny and shared a large number (69%) of orthologous clusters with SAR11 surface genomes, yet were distinct at the 16S rRNA gene and amino-acid level, and formed a separate, monophyletic group in phylogenetic trees. Subclade Ic genomes were enriched in genes associated with membrane/cell wall/envelope biosynthesis and showed evidence of unique phage defenses. The majority of subclade Ic-specfic genes were hypothetical, and some were highly abundant in deep ocean metagenomic data, potentially masking mechanisms for niche differentiation. However, the evidence suggests these organisms have a similar metabolism to their surface counterparts, and that subclade Ic adaptations to the deep ocean do not involve large variations in gene content, but rather more subtle differences previously observed deep ocean genomic data, like preferential amino-acid substitutions, larger coding regions among SAR11 clade orthologs, larger intergenic regions and larger estimated average genome size.
C1 [Thrash, J. Cameron; Temperton, Ben; Landry, Zachary C.; Giovannoni, Stephan J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Thrash, J. Cameron] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
[Swan, Brandon K.; Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME USA.
[Woyke, Tanja] DOE Joint Genome Inst, Walnut Creek, CA USA.
[DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[DeLong, Edward F.] Ctr Microbial Ecol Res & Educ, Honolulu, HI USA.
RP Thrash, JC (corresponding author), Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
EM thrashc@lsu.edu
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
Aguey-Zinsou KF, 2003, J AM CHEM SOC, V125, P530, DOI 10.1021/ja028293e
Anders S, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-10-r106
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Blainey PC, 2013, FEMS MICROBIOL REV, V37, P407, DOI 10.1111/1574-6976.12015
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Campanaro S, 2008, BMC EVOL BIOL, V8, DOI 10.1186/1471-2148-8-313
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Chou HH, 2001, BIOINFORMATICS, V17, P1093, DOI 10.1093/bioinformatics/17.12.1093
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DELONG EF, 1985, SCIENCE, V228, P1101, DOI 10.1126/science.3992247
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eloe EA, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020388
Eloe EA, 2011, ENV MICROBIOL REP, V3, P449, DOI 10.1111/j.1758-2229.2010.00223.x
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haft DH, 2005, PLOS COMPUT BIOL, V1, P474, DOI 10.1371/journal.pcbi.0010060
Hay NA, 1999, J BACTERIOL, V181, P2008, DOI 10.1128/JB.181.7.2008-2016.1999
Ivars-Martinez E, 2008, ISME J, V2, P1194, DOI 10.1038/ismej.2008.74
Kappler U, 2000, J BIOL CHEM, V275, P13202, DOI 10.1074/jbc.275.18.13202
Kappler U, 2012, STAND GENOMIC SCI, V7, P44, DOI 10.4056/sigs.3006378
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
King GM, 2013, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00438
Konstantinidis KT, 2007, CURR OPIN MICROBIOL, V10, P504, DOI 10.1016/j.mib.2007.08.006
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Lasken RS, 2013, NAT BIOTECHNOL, V31, P211, DOI 10.1038/nbt.2523
Lauro FM, 2008, EXTREMOPHILES, V12, P15, DOI 10.1007/s00792-006-0059-5
Madigan M.T., 2006, Brock Biology of Microorganisms, VTwelevth
Makarova KS, 2011, NAT REV MICROBIOL, V9, P467, DOI 10.1038/nrmicro2577
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nagata T, 2010, DEEP-SEA RES PT II, V57, P1519, DOI 10.1016/j.dsr2.2010.02.019
Pester M, 2011, CURR OPIN MICROBIOL, V14, P300, DOI 10.1016/j.mib.2011.04.007
Quaiser A, 2011, ISME J, V5, P285, DOI 10.1038/ismej.2010.113
Reinthaler T, 2010, DEEP-SEA RES PT II, V57, P1572, DOI 10.1016/j.dsr2.2010.02.023
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Robbertse B, 2011, PLOS CURR-TREE LIFE, DOI 10.1371/currents.RRN1213
Robinson C, 2010, DEEP-SEA RES PT II, V57, P1504, DOI 10.1016/j.dsr2.2010.02.018
Rodriguez-Valera Francisco, 2009, Nat Rev Microbiol, V7, P828, DOI 10.1038/nrmicro2235
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Simonato F, 2006, J BIOTECHNOL, V126, P11, DOI 10.1016/j.jbiotec.2006.03.038
Smedile F, 2013, ENVIRON MICROBIOL, V15, P167, DOI 10.1111/j.1462-2920.2012.02827.x
Stamatakis A, 2008, SYST BIOL, V57, P758, DOI 10.1080/10635150802429642
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stepanauskas R, 2012, CURR OPIN MICROBIOL, V15, P613, DOI 10.1016/j.mib.2012.09.001
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tully BJ, 2012, ENVIRON MICROBIOL, V14, P254, DOI 10.1111/j.1462-2920.2011.02628.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Vos M, 2009, ISME J, V3, P199, DOI 10.1038/ismej.2008.93
Wang FP, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001937
Westesson O, 2012, BIOINFORMATICS, V28, P1170, DOI 10.1093/bioinformatics/bts058
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Yelton AP, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002230
Yilmaz P, 2011, ISME J, V5, P1565, DOI 10.1038/ismej.2011.39
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 79
TC 77
Z9 83
PD JUL
PY 2014
VL 8
IS 7
BP 1440
EP 1451
DI 10.1038/ismej.2013.243
UT WOS:000338213900009
DA 2025-07-30
ER
PT J
AU Logares, R
Bråte, J
Heinrich, F
Shalchian-Tabrizi, K
Bertilsson, S
AF Logares, Ramiro
Brate, Jon
Heinrich, Friederike
Shalchian-Tabrizi, Kamran
Bertilsson, Stefan
TI Infrequent Transitions between Saline and Fresh Waters in One of the
Most Abundant Microbial Lineages (SAR11)
SO MOLECULAR BIOLOGY AND EVOLUTION
DT Article
AB The aquatic bacterial group SAR11 is one of the most abundant organisms on Earth, with an estimated global population size of 2.4 x 10(28) cells in the oceans. Members of SAR11 have also been detected in brackish and fresh waters, but the evolutionary relationships between the species present in the different environments have been ambiguous. In particular, it was not clear how frequently this lineage has crossed the saline-freshwater boundary during its evolutionary diversification. Due to the huge population size of SAR11 and the potential of microbes for long-distance dispersal, we hypothesized that environmental transitions could have occurred repeatedly during the evolutionary diversification of this group. Here, we have constructed extensive 16S rDNA-based molecular phylogenies and undertaken metagenomic data analyses to assess the frequency of saline-freshwater transitions in SAR11 and to investigate the evolutionary implications of this process. Our analyses indicated that very few saline-freshwater transitions occurred during the evolutionary diversification of SAR11, generating genetically distinct saline and freshwater lineages that do not appear to exchange genes extensively via horizontal gene transfer. In contrast to lineages from saline environments, extant freshwater taxa from diverse, and sometimes distant, geographic locations were very closely related. This points to a rapid diversification and dispersal in fresh waters or to slower evolutionary rates in fresh water SAR11 when compared with marine counterparts. In addition, the colonization of both saline and fresh waters appears to have occurred early in the evolution of SAR11. We conclude that the different biogeochemical conditions that prevail in saline and fresh waters have likely prevented the environmental transitions in SAR11, promoting the evolution of clearly distinct lineages in each environment.
C1 [Logares, Ramiro; Heinrich, Friederike; Bertilsson, Stefan] Uppsala Univ, Limnol Dept Ecol & Evolut, Uppsala, Sweden.
[Brate, Jon; Shalchian-Tabrizi, Kamran] Univ Oslo, Dept Biol, Microbial Evolut Res Grp, Oslo, Norway.
RP Logares, R (corresponding author), Uppsala Univ, Limnol Dept Ecol & Evolut, Uppsala, Sweden.
EM ramiro.logares@gmail.com
CR Alverson AJ, 2007, MOL PHYLOGENET EVOL, V45, P193, DOI 10.1016/j.ympev.2007.03.024
[Anonymous], 1958, LIMNOL OCEANOGR, V3, P346
[Anonymous], 1999, POLARFORSCHUNG
Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Dahl E., 1956, Oikos, V7, P1, DOI 10.2307/3564981
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Dewhirst FE, 2005, J BACTERIOL, V187, P6106, DOI 10.1128/JB.187.17.6106-6118.2005
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grantham BA, 2004, NATURE, V429, P749, DOI 10.1038/nature02605
Hammer U. T., 1986, Saline Lake Ecosystems of the World, V59
Hebert PDN, 2002, EVOLUTION, V56, P909
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Katoh K, 2008, BRIEF BIOINFORM, V9, P286, DOI 10.1093/bib/bbn013
Lampert W., 1997, Limnoecology: The ecology of lakes and streams
Laybourn-Parry J, 2007, PHILOS T R SOC B, V362, P2273, DOI 10.1098/rstb.2006.1945
Letunic I, 2007, BIOINFORMATICS, V23, P127, DOI 10.1093/bioinformatics/btl529
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Martin AP, 2002, APPL ENVIRON MICROB, V68, P3673, DOI 10.1128/AEM.68.8.3673-3682.2002
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Piwosz K, 2009, POLAR BIOL, V32, P549, DOI 10.1007/s00300-008-0549-2
Rambaut A., 2018, FigTree
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Remane A., 1934, Verhandlungen der Deutschen Zoologischen Gesellschaft Leipzig, V36, P34
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Shalchian-Tabrizi K, 2008, ENVIRON MICROBIOL, V10, P2635, DOI 10.1111/j.1462-2920.2008.01685.x
Shaw AK, 2008, ENVIRON MICROBIOL, V10, P2200, DOI 10.1111/j.1462-2920.2008.01626.x
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wu QL, 2006, APPL ENVIRON MICROB, V72, P5478, DOI 10.1128/AEM.00767-06
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 45
TC 57
Z9 60
PD FEB
PY 2010
VL 27
IS 2
BP 347
EP 357
DI 10.1093/molbev/msp239
UT WOS:000273704400013
DA 2025-07-30
ER
PT J
AU Steindler, L
Schwalbach, MS
Smith, DP
Chan, F
Giovannoni, SJ
AF Steindler, Laura
Schwalbach, Michael S.
Smith, Daniel P.
Chan, Francis
Giovannoni, Stephen J.
TI Energy Starved Candidatus Pelagibacter Ubique Substitutes
Light-Mediated ATP Production for Endogenous Carbon Respiration
SO PLOS ONE
DT Article
AB Previous studies have demonstrated that Candidatus Pelagibacter ubique, a member of the SAR11 clade, constitutively expresses proteorhodopsin (PR) proteins that can function as light-dependent proton pumps. However, exposure to light did not significantly improve the growth rate or final cell densities of SAR11 isolates in a wide range of conditions. Thus, the ecophysiological role of PR in SAR11 remained unresolved. We investigated a range of cellular properties and here show that light causes dramatic changes in physiology and gene expression in Cand. P. ubique cells that are starved for carbon, but provides little or no advantage during active growth on organic carbon substrates. During logarithmic growth there was no difference in oxygen consumption by cells in light versus dark. Energy starved cells respired endogenous carbon in the dark, becoming spheres that approached the minimum predicted size for cells, and produced abundant pili. In the light, energy starved cells maintained size, ATP content, and higher substrate transport rates, and differentially expressed nearly 10% of their genome. These findings show that PR is a vital adaptation that supports Cand. P. ubique metabolism during carbon starvation, a condition that is likely to occur in the extreme conditions of ocean environments.
C1 [Steindler, Laura; Schwalbach, Michael S.; Smith, Daniel P.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Chan, Francis] Oregon State Univ, Dept Zool, Corvallis, OR 97331 USA.
RP Steindler, L (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Baichoo N, 2002, J BACTERIOL, V184, P5826, DOI 10.1128/JB.184.21.5826-5832.2002
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bolstad BM, 2003, BIOINFORMATICS, V19, P185, DOI 10.1093/bioinformatics/19.2.185
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
DELORENZO V, 1987, J BACTERIOL, V169, P2624, DOI 10.1128/jb.169.6.2624-2630.1987
Dubnau D, 1999, ANNU REV MICROBIOL, V53, P217, DOI 10.1146/annurev.micro.53.1.217
Escolar L, 1998, J MOL BIOL, V283, P537, DOI 10.1006/jmbi.1998.2119
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Johnson ET, 2010, APPL ENVIRON MICROB, V76, P4123, DOI 10.1128/AEM.02425-09
Knoll A., 1999, Size Limits of Very Small Microorganisms
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Lee JW, 2007, BIOMETALS, V20, P485, DOI 10.1007/s10534-006-9070-7
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Man-Aharonovich D, 2004, PHOTOCH PHOTOBIO SCI, V3, P459, DOI 10.1039/b316071h
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Saeed AI, 2006, METHOD ENZYMOL, V411, P134, DOI 10.1016/S0076-6879(06)11009-5
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
SOWELL SM, 2010, ISME J
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Thompson DK, 2002, APPL ENVIRON MICROB, V68, P881, DOI 10.1128/AEM.68.2.881-892.2002
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vos M, 2009, ISME J, V3, P199, DOI 10.1038/ismej.2008.93
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
Wan XF, 2004, J BACTERIOL, V186, P8385, DOI 10.1128/JB.186.24.8385-8400.2004
NR 43
TC 155
Z9 175
PD MAY 9
PY 2011
VL 6
IS 5
AR e19725
DI 10.1371/journal.pone.0019725
UT WOS:000290386800033
DA 2025-07-30
ER
PT J
AU Zhao, X
Wan, XG
He, RL
Yau, SST
AF Zhao, Xin
Wan, Xiaogeng
He, Rong L.
Yau, Stephen S. -T.
TI A new method for studying the evolutionary origin of the SAR11 Glade
marine bacteria
SO MOLECULAR PHYLOGENETICS AND EVOLUTION
DT Article
AB The free-living SARI I Glade is a globally abundant group of oceanic Alphaproteobacteria, with small genome sizes and rich genomic A+T content. However, the taxonomy of SAR11 has become controversial recently. Some researchers argue that the position of SAR11 is a sister group to Rickettsiales. Other researchers advocate that SAR11 is located within free-living lineages of Alphaproteobacteria. Here, we use the natural vector representation method to identify the evolutionary origin of the SAR11 Glade. This alignment-free method does not depend on any model assumptions. With this approach, the correspondence between proteome sequences and their natural vectors is one-to-one. After fixing a set of proteins, each bacterium is represented by a set of vectors. The Hausdorff distance is then used to compute the dissimilarity distance between two bacteria. The phylogenetic tree can be reconstructed based on these distances. Using our method, we systematically analyze four data sets of alphaproteobacterial proteomes in order to reconstruct the phylogeny of Alphaproteobacteria. From this we can see that the phylogenetic position of the SAR11 group is within a group of other free-living lineages of Alphaproteobacteria. (C) 2016 Elsevier Inc. All rights reserved.
C1 [Zhao, Xin; Wan, Xiaogeng; Yau, Stephen S. -T.] Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China.
[He, Rong L.] Chicago State Univ, Dept Biol Sci, Chicago, IL 60628 USA.
RP Yau, SST (corresponding author), Tsinghua Univ, Dept Math Sci, Beijing 100084, Peoples R China.
EM yau@uic.edu
CR Deng M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017293
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
GOWER JC, 1969, ROY STAT SOC C-APP, V18, P54
Haubold B, 2014, BRIEF BIOINFORM, V15, P407, DOI 10.1093/bib/bbt083
HILLIS DM, 1993, SYST BIOL, V42, P182, DOI 10.2307/2992540
Huang HH, 2014, MOL PHYLOGENET EVOL, V81, P29, DOI 10.1016/j.ympev.2014.08.003
Lasek-Nesselquist E, 2013, MOL PHYLOGENET EVOL, V69, P17, DOI 10.1016/j.ympev.2013.05.006
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Ramulu HG, 2014, MOL PHYLOGENET EVOL, V75, P103, DOI 10.1016/j.ympev.2014.02.013
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tian K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136577
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Vinga S, 2003, BIOINFORMATICS, V19, P513, DOI 10.1093/bioinformatics/btg005
Yu C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064328
Yu CL, 2013, J THEOR BIOL, V318, P197, DOI 10.1016/j.jtbi.2012.11.005
NR 18
TC 12
Z9 13
PD MAY
PY 2016
VL 98
BP 271
EP 279
DI 10.1016/j.ympev.2016.02.015
UT WOS:000374206900025
DA 2025-07-30
ER
PT J
AU Manrique, JM
Jones, LR
AF Manrique, Julieta M.
Jones, Leandro R.
TI Are ocean currents to slow to counteract SAR11 evolution? A
next-generation sequencing, phylogeographic analysis
SO MOLECULAR PHYLOGENETICS AND EVOLUTION
DT Article
AB This work set out to shed light on the phylogeography of the SAR11 Glade of Alphaproteobacteria, which is probably the most abundant group of heterotrophic bacteria on Earth. In particular, we assessed the degree to which empirical evidence (environmental DNA sequences) supports the concept that SAR11 lineages evolve faster than they are dispersed thus generating vicariant distributions, as predicted by recent simulation efforts. We generated 16S rRNA gene sequences from surface seawater collected at the South West Atlantic Ocean and combined these data with previously published sequences from similar environments from elsewhere. Altogether, these data consisted in about 1e6 reads, from which we generated 355,306 high quality sequences of which 95,318 corresponded to SAR11. Quantitative phylogeographic analyses supported the existence of a spatially explicit distribution of SAR11 species and provided evidence in favor of the idea that dispersal limitations significantly contribute to SAR11 radiation throughout the world's oceans. Likewise, pairwise phylogenetic distances between the communities studied here were significantly correlated with the genetic divergences predicted by a previously proposed neutral model. As discussed in the paper, these findings are compatible with the concept that the ocean surface constitutes a homogeneous environment for SAR11, in agreement with previous experimental data. We discuss the implications of this hypothesis in a global change scenario. This is the first study combining high throughput sequencing and phylogenic analysis to study bacterial phylogeography and reporting a distance decay pattern of phylogenetic distances for bacteria. (C) 2016 Elsevier Inc. All rights reserved.
C1 Consejo Nacl Invest Cient & Tecn, Av Rivadavia 1917,C1083ACA, Buenos Aires, DF, Argentina.
[Jones, Leandro R.] Univ Nacl Patagonia San Juan Bosco, Fac Ciencias Nat Sede Trelew, Lab Virol & Genet Mol, 9 Julio & Belgrano S-N, RA-9100 Trelew, Chubut, Argentina.
RP Jones, LR (corresponding author), Univ Nacl Patagonia San Juan Bosco, Fac Ciencias Nat Sede Trelew, Lab Virol & Genet Mol, 9 Julio & Belgrano S-N, RA-9100 Trelew, Chubut, Argentina.
EM ljones@conicet.gov.ar
CR Aylward FO, 2015, P NATL ACAD SCI USA, V112, P5443, DOI 10.1073/pnas.1502883112
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Chen J, 2012, BIOINFORMATICS, V28, P2106, DOI 10.1093/bioinformatics/bts342
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Drakare S, 2006, ECOL LETT, V9, P215, DOI 10.1111/j.1461-0248.2005.00848.x
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Gerhold P, 2015, FUNCT ECOL, V29, P600, DOI 10.1111/1365-2435.12425
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Goloboff PA, 2016, CLADISTICS, V32, P221, DOI 10.1111/cla.12160
Goloboff PA, 2009, CLADISTICS, V25, P211, DOI 10.1111/j.1096-0031.2009.00255.x
Goslee SC, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i07
Hellweger FL, 2014, SCIENCE, V345, P1346, DOI 10.1126/science.1254421
Horner-Devine MC, 2004, NATURE, V432, P750, DOI 10.1038/nature03073
Jiang W, 2014, MOL PHYLOGENET EVOL, V80, P308, DOI 10.1016/j.ympev.2014.08.006
Jones LR, 2015, BIODIVERS CONSERV, V24, P1541, DOI 10.1007/s10531-014-0849-5
Katoh K, 2014, METHODS MOL BIOL, V1079, P131, DOI 10.1007/978-1-62703-646-7_8
Legendre P., 2003, Numerical Ecology, V3
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Liu ZZ, 2007, NUCLEIC ACIDS RES, V35, DOI 10.1093/nar/gkm541
Liu ZZ, 2008, NUCLEIC ACIDS RES, V36, DOI 10.1093/nar/gkn491
Manrique JM, 2012, J PHOTOCH PHOTOBIO B, V117, P171, DOI 10.1016/j.jphotobiol.2012.09.019
MANTEL N, 1967, CANCER RES, V27, P209
Martiny JBH, 2011, P NATL ACAD SCI USA, V108, P7850, DOI 10.1073/pnas.1016308108
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nylander JA, 2004, PROGRAM DISTRIBUTED
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Schloss PD, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027310
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun FL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111892
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Waterhouse AM, 2009, BIOINFORMATICS, V25, P1189, DOI 10.1093/bioinformatics/btp033
Webb CO, 2002, ANNU REV ECOL SYST, V33, P475, DOI 10.1146/annurev.ecolsys.33.010802.150448
Whitaker RJ, 2003, SCIENCE, V301, P976, DOI 10.1126/science.1086909
Wiens JJ, 2003, SYST BIOL, V52, P528, DOI 10.1080/10635150390218330
Zhao X, 2016, MOL PHYLOGENET EVOL, V98, P271, DOI 10.1016/j.ympev.2016.02.015
Zinger L, 2014, MOL ECOL, V23, P954, DOI 10.1111/mec.12640
Zubkov MV, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8878
NR 40
TC 9
Z9 10
PD FEB
PY 2017
VL 107
BP 324
EP 337
DI 10.1016/j.ympev.2016.11.015
UT WOS:000394200500031
DA 2025-07-30
ER
PT J
AU Henson, MW
Lanclos, VC
Faircloth, BC
Thrash, JC
AF Henson, Michael W.
Lanclos, V. Celeste
Faircloth, Brant C.
Thrash, J. Cameron
TI Cultivation and genomics of the first freshwater SAR11 (LD12) isolate
SO ISME JOURNAL
DT Article
AB Evolutionary transitions between fresh and salt water happen infrequently among bacterioplankton. Within the ubiquitous and highly abundant heterotrophic Alphaproteobacteria order Pelagibacterales (SAR11), most members live in marine habitats, but the LD12 subclade has evolved as a unique freshwater lineage. LD12 cells occur as some of the most dominant freshwater bacterioplankton, yet this group has remained elusive to cultivation, hampering a more thorough understanding of its biology. Here, we report the first successful isolation of an LD12 representative, strain LSUCC0530, using highthroughput dilution-to-extinction cultivation methods, and its complete genome sequence. Growth experiments corroborate ecological data suggesting active populations of LD12 in brackish water up to salinities of similar to 5. LSUCC0530 has the smallest closed genome thus far reported for a SAR11 strain (1.16 Mbp). The genome affirms many previous metabolic predictions from cultivation-independent analyses, like a complete Embden-Meyerhof-Parnas glycolysis pathway, but also provides novel insights, such as the first isocitrate dehydrogenase in LD12, a likely homologous recombination of malate synthase from outside of the SAR11 clade, and analogous substitutions of ion transporters with others that occur throughout the rest of the SAR11 clade. Growth data support metagenomic recruitment results suggesting temperature-based ecotype diversification within LD12. Key gene losses for osmolyte uptake provide a succinct hypothesis for the evolutionary transition of LD12 from salt to freshwater. For strain LSUCC0530, we propose the provisional nomenclature Candidatus fonsibacter ubiquis.
C1 [Henson, Michael W.; Lanclos, V. Celeste; Faircloth, Brant C.; Thrash, J. Cameron] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
[Faircloth, Brant C.] Louisiana State Univ, Museum Nat Hist, Baton Rouge, LA 70803 USA.
RP Thrash, JC (corresponding author), Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
EM thrashc@lsu.edu
CR [Anonymous], BIORXIV
Anstrom DM, 2003, PROTEIN SCI, V12, P1822, DOI 10.1110/ps.03174303
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Arndt D, 2016, NUCLEIC ACIDS RES, V44, pW16, DOI 10.1093/nar/gkw387
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Boetzer M, 2011, BIOINFORMATICS, V27, P578, DOI 10.1093/bioinformatics/btq683
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Brown CT, 2015, NATURE, V523, P208, DOI 10.1038/nature14486
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Chun J, 2018, INT J SYST EVOL MICR, V68, P461, DOI [10.1099/ijsem.0.002516, 10.1099/ijsem.0.002532]
Contreras-Moreira B, 2013, APPL ENVIRON MICROB, V79, P7696, DOI 10.1128/AEM.02411-13
DATTANANDA CS, 1989, J BACTERIOL, V171, P1915, DOI 10.1128/jb.171.4.1915-1922.1989
Denef VJ, 2016, APPL ENVIRON MICROB, V82, P1423, DOI 10.1128/AEM.03014-15
Denger K, 2008, MICROBIOL-SGM, V154, P256, DOI 10.1099/mic.0.2007/011650-0
Dick GJ, 2009, GENOME BIOL, V10, DOI 10.1186/gb-2009-10-8-r85
Dickson Robert P., 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.113, DOI 10.1038/NMICROBIOL.2016.65]
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Eiler A, 2014, ENVIRON MICROBIOL, V16, P2682, DOI 10.1111/1462-2920.12301
Empadinhas N, 2008, INT MICROBIOL, V11, P151, DOI 10.2436/20.1501.01.55
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Garcia SL, 2018, ISME J, V12, P742, DOI 10.1038/s41396-017-0001-0
Ghai R, 2012, SCI REP-UK, V2, DOI 10.1038/srep00490
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Goris J, 2007, INT J SYST EVOL MICR, V57, P81, DOI 10.1099/ijs.0.64483-0
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Han MV, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-356
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Hunt M, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-5-r47
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Junier T, 2010, BIOINFORMATICS, V26, P1669, DOI 10.1093/bioinformatics/btq243
Kappler U, 2011, BBA-BIOENERGETICS, V1807, P1, DOI 10.1016/j.bbabio.2010.09.004
Konstantinidis KT, 2007, CURR OPIN MICROBIOL, V10, P504, DOI 10.1016/j.mib.2007.08.006
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Li H, 2009, BIOINFORMATICS, V25, P1754, DOI [10.1093/bioinformatics/btp352, 10.1093/bioinformatics/btp324, 10.1093/bioinformatics/btp698]
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Markowitz VM, 2014, NUCLEIC ACIDS RES, V42, pD560, DOI 10.1093/nar/gkt963
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Piwosz K, 2013, LIMNOL OCEANOGR, V58, P817, DOI 10.4319/lo.2013.58.3.0817
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rohland N, 2012, GENOME RES, V22, P939, DOI 10.1101/gr.128124.111
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smith MW, 2013, FRONT MICROBIOL, V4, DOI [10.3389/fmicb.2013.00120, 10.3389/fpls.2013.00486]
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Stamatakis A, 2008, SYST BIOL, V57, P758, DOI 10.1080/10635150802429642
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tseng CH, 2013, ISME J, V7, P2374, DOI 10.1038/ismej.2013.118
Walker BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112963
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, P1, DOI DOI 10.1186/GB-2013-14-11-R130
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 87
TC 102
Z9 109
PD JUL
PY 2018
VL 12
IS 7
BP 1846
EP 1860
DI 10.1038/s41396-018-0092-2
UT WOS:000436623600019
DA 2025-07-30
ER
PT J
AU Zhao, YL
Qin, F
Zhang, R
Giovannoni, SJ
Zhang, ZF
Sun, J
Du, S
Rensing, C
AF Zhao, Yanlin
Qin, Fang
Zhang, Rui
Giovannoni, Stephen J.
Zhang, Zefeng
Sun, Jing
Du, Sen
Rensing, Christopher
TI Pelagiphages in the Podoviridae family integrate into host
genomes
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The Pelagibacterales order (SAR11) in Alphaproteobacteria dominates marine surface bacterioplankton communities, where it plays a key role in carbon and nutrient cycling. SAR11 phages, known as pelagiphages, are among the most abundant phages in the ocean. Four pelagiphages that infect Pelagibacter HTCC1062 have been reported. Here, we report 11 new pelagiphages in the Podoviridae family. Comparative genomics classified these pelagiphages into the HTVC019Pvirus genus, which includes the previously reported pelagiphages HTVC011P and HTVC019P. Phylogenomic analysis clustered HTVC019Pvirus pelagiphages into three subgroups. Integrases were identified in all but one HTVC019Pvirus genome. Site-specific integration of HTVC019Pvirus pelagiphages into host tRNA genes was verified experimentally, demonstrating the capacity of these pelagiphages to propagate by both lytic and lysogenic infection. Evidence of pelagiphage integration was also retrieved from the Global Ocean Survey database, showing that prophages are found in natural SAR11 populations. HTVC019Pvirus pelagiphages could impact SAR11 populations by a variety of mechanisms, including mortality, genetic transduction and prophage-induced viral immunity. HTVC019Pvirus pelagiphages are a rare example of cultured lysogenic phage that can be implicated in ecological processes on broad scales. These pelagiphages have the potential to become a useful model for investigating strategies of host infection and phage-dependent horizontal gene transfer.
C1 [Zhao, Yanlin; Qin, Fang; Zhang, Zefeng; Du, Sen] Fujian Agr & Forestry Univ, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Coll Life Sci, Fuzhou, Fujian, Peoples R China.
[Zhang, Rui] Xiamen Univ, State Key Lab Marine Environm Sci, Coll Ocean & Earth Sci, Inst Marine Microbes & Ecospheres, Xiamen, Fujian, Peoples R China.
[Giovannoni, Stephen J.; Sun, Jing] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Rensing, Christopher] Fujian Agr & Forestry Univ, Fujian Prov Key Lab Soil Environm Hlth & Regulat, Coll Resources & Environm, Fuzhou, Fujian, Peoples R China.
[Zhao, Yanlin] Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao, Shandong, Peoples R China.
RP Zhao, Y (corresponding author), Fujian Agr & Forestry Univ, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Coll Life Sci, Fuzhou, Fujian, Peoples R China.; Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.; Zhao, Y (corresponding author), Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao, Shandong, Peoples R China.
EM yanlinzhao@fafu.edu.cn; steve.giovannoni@oregonstate.edu
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
[Anonymous], 2001, Molecular cloning, a laboratory manual, DOI DOI 10.1101/PDB.PROT4022
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Belogurov AA, 2000, J MOL BIOL, V296, P969, DOI 10.1006/jmbi.1999.3493
Bondy-Denomy J, 2016, ISME J, V10, P2854, DOI 10.1038/ismej.2016.79
Breitbart M, 2007, OCEANOGRAPHY, V20, P135, DOI 10.5670/oceanog.2007.58
Brüssow H, 2004, MICROBIOL MOL BIOL R, V68, P560, DOI 10.1128/MMBR.68.3.560-602.2004
Campbell A, 2003, RES MICROBIOL, V154, P277, DOI 10.1016/S0923-2508(03)00071-8
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Casjens SR, 2015, VIROLOGY, V479, P310, DOI 10.1016/j.virol.2015.02.010
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Chen F, 2002, APPL ENVIRON MICROB, V68, P2589, DOI 10.1128/AEM.68.5.2589-2594.2002
Chénard C, 2015, ISME J, V9, P2046, DOI 10.1038/ismej.2015.24
Clokie MRJ, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-291
Crummett LT, 2016, VIROLOGY, V499, P219, DOI 10.1016/j.virol.2016.09.016
Delcher AL, 1999, NUCLEIC ACIDS RES, V27, P4636, DOI 10.1093/nar/27.23.4636
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Esposito D, 1997, NUCLEIC ACIDS RES, V25, P3605, DOI 10.1093/nar/25.18.3605
Feiner R, 2015, NAT REV MICROBIOL, V13, P641, DOI 10.1038/nrmicro3527
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Groth AC, 2004, J MOL BIOL, V335, P667, DOI 10.1016/j.jmb.2003.09.082
Hendrix RW, 1999, P NATL ACAD SCI USA, V96, P2192, DOI 10.1073/pnas.96.5.2192
Howard-Varona C, 2017, ISME J, V11, P1511, DOI 10.1038/ismej.2017.16
Huang JB, 1999, J MOL BIOL, V293, P457, DOI 10.1006/jmbi.1999.3135
Huang SJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142962
Ignacio-Espinoza JC, 2012, ENVIRON MICROBIOL, V14, P2113, DOI 10.1111/j.1462-2920.2012.02704.x
Jiang SC, 1998, MICROBIAL ECOL, V35, P235, DOI 10.1007/s002489900079
JOLLES P, 1984, MOL CELL BIOCHEM, V63, P165
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Knowles B, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.64
Labrie SJ, 2013, ENVIRON MICROBIOL, V15, P1356, DOI 10.1111/1462-2920.12053
Lavigne R, 2008, RES MICROBIOL, V159, P406, DOI 10.1016/j.resmic.2008.03.005
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Lukashin AV, 1998, NUCLEIC ACIDS RES, V26, P1107, DOI 10.1093/nar/26.4.1107
Malmstrom RR, 2013, ISME J, V7, P184, DOI 10.1038/ismej.2012.89
Marston MF, 2012, P NATL ACAD SCI USA, V109, P4544, DOI 10.1073/pnas.1120310109
Maurice CF, 2010, ENVIRON MICROBIOL, V12, P628, DOI 10.1111/j.1462-2920.2009.02103.x
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Miller RV., 2008, Bacteriophage Ecology: Population Growth, Evolution, and Impact of Bacterial Viruses, P114, DOI [DOI 10.1017/CBO9780511541483.008, 10.1017/CBO9780511541483.008]
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nelson KE, 2002, ENVIRON MICROBIOL, V4, P799, DOI 10.1046/j.1462-2920.2002.00366.x
Nordlund N, 2006, ANNU REV BIOCHEM, V75, P681, DOI 10.1146/annurev.biochem.75.103004.142443
Nunes-Düby SE, 1998, NUCLEIC ACIDS RES, V26, P391, DOI 10.1093/nar/26.2.391
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Payet JP, 2013, LIMNOL OCEANOGR, V58, P465, DOI 10.4319/lo.2013.58.2.0465
Pegg AE, 1998, BIOCHEM SOC T, V26, P580, DOI 10.1042/bst0260580
Pope WH, 2007, J MOL BIOL, V368, P966, DOI 10.1016/j.jmb.2007.02.046
Shao QY, 2017, MICROBIOLOGYOPEN, V6, DOI 10.1002/mbo3.395
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA., 2010, Manual of Aquatic Viral Ecology, P145, DOI DOI 10.4319/MAVE.2010.978-0-9845591-0-7.145
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Touchon M, 2016, ISME J, V10, P2744, DOI 10.1038/ismej.2016.47
van Dongen S, 2012, METHODS MOL BIOL, V804, P281, DOI 10.1007/978-1-61779-361-5_15
Williams KP, 2002, NUCLEIC ACIDS RES, V30, P866, DOI 10.1093/nar/30.4.866
Williamson SJ, 2002, APPL ENVIRON MICROB, V68, P4307, DOI 10.1128/AEM.68.9.4307-4314.2002
Wilson WH, 1997, AQUAT MICROB ECOL, V13, P95, DOI 10.3354/ame013095
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Yu TY, 2008, J MOL BIOL, V382, P1031, DOI 10.1016/j.jmb.2008.07.077
Zhang X, 2004, J MOL BIOL, V340, P707, DOI 10.1016/j.jmb.2004.05.006
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 74
TC 47
Z9 49
PD JUN
PY 2019
VL 21
IS 6
BP 1989
EP 2001
DI 10.1111/1462-2920.14487
UT WOS:000469995900009
DA 2025-07-30
ER
PT J
AU Noell, SE
Giovannoni, SJ
AF Noell, Stephen E.
Giovannoni, Stephen J.
TI SAR11 bacteria have a high affinity and multifunctional glycine betaine
transporter
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Marine bacterioplankton face stiff competition for limited nutrient resources. SAR11, a ubiquitous clade of very small and highly abundant Alphaproteobacteria, are known to devote much of their energy to synthesizing ATP-binding cassette periplasmic proteins that bind substrates. We hypothesized that their small size and relatively large periplasmic space might enable them to outcompete other bacterioplankton for nutrients. Using uptake experiments with C-14-glycine betaine, we discovered that two strains of SAR11, Candidatus Pelagibacter sp. HTCC7211 and Cand. P. ubique HTCC1062, have extraordinarily high affinity for glycine betaine (GBT), with half-saturation (K-s) values around 1 nM and specific affinity values between 8 and 14 L mg cell(-1) h(-1). Competitive inhibition studies indicated that the GBT transporters in these strains are multifunctional, transporting multiple substrates in addition to GBT. Both strains could use most of the transported compounds for metabolism and ATP production. Our findings indicate that Pelagibacter cells are primarily responsible for the high affinity and multifunctional GBT uptake systems observed in seawater. Maximization of whole-cell affinities may enable these organisms to compete effectively for nutrients during periods when the gross transport capacity of the heterotrophic plankton community exceeds the supply, depressing ambient concentrations.
C1 [Noell, Stephen E.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR AMIN US, 1995, ARCH MICROBIOL, V163, P138, DOI 10.1007/BF00381788
[Anonymous], 2018, R LANG ENV STAT COMP
[Anonymous], 1985, ORGANIC GEOCHEMISTRY, DOI 10.1007/978-94-009-5095-5
AZAM F, 1981, MAR ECOL PROG SER, V6, P213, DOI 10.3354/meps006213
Benkert P, 2011, BIOINFORMATICS, V27, P343, DOI 10.1093/bioinformatics/btq662
Bertoni M, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09654-8
Bienert S, 2017, NUCLEIC ACIDS RES, V45, pD313, DOI 10.1093/nar/gkw1132
Bosdriesz E, 2015, FEBS J, V282, P2394, DOI 10.1111/febs.13289
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown NP, 1998, BIOINFORMATICS, V14, P380, DOI 10.1093/bioinformatics/14.4.380
Burg MB, 2008, J BIOL CHEM, V283, P7309, DOI 10.1074/jbc.R700042200
Button DK, 1998, MICROBIOL MOL BIOL R, V62, P636, DOI 10.1128/MMBR.62.3.636-645.1998
Button DK, 1998, APPL ENVIRON MICROB, V64, P4467
Button DK, 2004, APPL ENVIRON MICROB, V70, P5511, DOI 10.1128/AEM.70.9.5511-5521.2004
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cermak N, 2017, ISME J, V11, P825, DOI 10.1038/ismej.2016.161
Choquet G, 2005, APPL ENVIRON MICROB, V71, P3389, DOI 10.1128/AEM.71.7.3389-3398.2005
Clifford EL, 2017, LIMNOL OCEANOGR, V62, P2745, DOI 10.1002/lno.10603
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Davidson AL, 2008, MICROBIOL MOL BIOL R, V72, P317, DOI 10.1128/MMBR.00031-07
DIAZ MR, 1992, FEMS MICROBIOL LETT, V96, P61, DOI 10.1111/j.1574-6968.1992.tb05394.x
Dickson Robert P., 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.113, DOI 10.1038/NMICROBIOL.2016.65]
Dunfield PF, 1999, APPL ENVIRON MICROB, V65, P1009
DUNNETT CW, 1955, J AM STAT ASSOC, V50, P1096, DOI 10.2307/2281208
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Ferla MP, 2017, MOL MICROBIOL, V105, P508, DOI 10.1111/mmi.13737
Fischer E., 1894, BER DTSCH CHEM GES, V27, P2985, DOI DOI 10.1002/CBER.18940270364
Flynn KJ, 2018, PLOS COMPUT BIOL, V14, DOI 10.1371/journal.pcbi.1006118
Flynn KJ, 1998, MAR ECOL PROG SER, V169, P13, DOI 10.3354/meps169013
Fraser KR, 2000, APPL ENVIRON MICROB, V66, P4696, DOI 10.1128/AEM.66.11.4696-4704.2000
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2019, MBIO, V10, DOI 10.1128/mBio.00246-19
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gouesbet G, 1996, J BACTERIOL, V178, P447, DOI 10.1128/jb.178.2.447-455.1996
GOUESBET G, 1994, MICROBIOL-SGM, V140, P2415, DOI 10.1099/13500872-140-9-2415
GRAHAM LL, 1991, TRENDS BIOCHEM SCI, V16, P328, DOI 10.1016/0968-0004(91)90135-I
Grant S.C., 2002, P INT SOC MAGN RESON, V10
GRECO WR, 1979, J BIOL CHEM, V254, P2104
Green R, 2011, MOL MICROBIOL, V81, P1109, DOI 10.1111/j.1365-2958.2011.07757.x
Guex N, 2009, ELECTROPHORESIS, V30, pS162, DOI 10.1002/elps.200900140
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Hellweger FL, 2018, ENVIRON MICROBIOL, V20, P3825, DOI 10.1111/1462-2920.14397
Hoffmann T, 2017, BIOL CHEM, V398, P193, DOI 10.1515/hsz-2016-0265
Hosie AHF, 2002, J BACTERIOL, V184, P4071, DOI 10.1128/JB.184.15.4071-4080.2002
JEBBAR M, 1992, J BACTERIOL, V174, P5027, DOI 10.1128/JB.174.15.5027-5035.1992
Jiménez JI, 2008, P NATL ACAD SCI USA, V105, P11329, DOI 10.1073/pnas.0802273105
JOSHI JG, 1962, J BIOL CHEM, V237, P3185
Kelkar YD, 2013, GENETICS, V193, P303, DOI 10.1534/genetics.112.145656
Keller MD, 1999, MAR BIOL, V135, P237, DOI 10.1007/s002270050621
Kiene RP, 1998, LIMNOL OCEANOGR, V43, P1592, DOI 10.4319/lo.1998.43.7.1592
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Kiene RP, 1998, AQUAT MICROB ECOL, V15, P39, DOI 10.3354/ame015039
KING GM, 1984, APPL ENVIRON MICROB, V48, P719, DOI 10.1128/AEM.48.4.719-725.1984
KOCH AL, 1982, ARCH MICROBIOL, V131, P36, DOI 10.1007/BF00451496
LEE C, 1977, LIMNOL OCEANOGR, V22, P502, DOI 10.4319/lo.1977.22.3.0502
Lee S, 2018, KOREAN J ANESTHESIOL, V71, P353, DOI 10.4097/kja.d.18.00242
Lendenmann U, 1996, APPL ENVIRON MICROB, V62, P1493, DOI 10.1128/AEM.62.5.1493-1499.1996
LERUDULIER D, 1983, APPL ENVIRON MICROB, V46, P152, DOI 10.1128/AEM.46.1.152-159.1983
Li WZ, 2015, NUCLEIC ACIDS RES, V43, pW580, DOI 10.1093/nar/gkv279
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Lu XX, 2014, MAR CHEM, V163, P36, DOI 10.1016/j.marchem.2014.04.004
LUCHT JM, 1994, FEMS MICROBIOL REV, V14, P3, DOI 10.1016/0168-6445(94)90008-6
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
McWilliam H, 2013, NUCLEIC ACIDS RES, V41, pW597, DOI 10.1093/nar/gkt376
Meadows JA, 2015, MICROBIOL-SGM, V161, P1161, DOI 10.1099/mic.0.000080
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nicastro D., 2006, MAM, V12, P180, DOI DOI 10.1017/S1431927606067456
NISSEN H, 1984, MAR ECOL PROG SER, V16, P155, DOI 10.3354/meps016155
Obernosterer I, 1999, AQUAT MICROB ECOL, V20, P147, DOI 10.3354/ame020147
Payn RA, 2014, ECOL MODEL, V294, P1, DOI 10.1016/j.ecolmodel.2014.09.003
RAO DR, 1962, J BIOL CHEM, V237, P2232
Reinhold AM, 2019, ECOL INFORM, V50, P102, DOI 10.1016/j.ecoinf.2018.12.008
ROBERTSON BR, 1979, J BACTERIOL, V138, P884, DOI 10.1128/JB.138.3.884-895.1979
Schiefner A, 2004, J BIOL CHEM, V279, P5588, DOI 10.1074/jbc.M309771200
SCHUT F, 1995, MICROBIOL-UK, V141, P351, DOI 10.1099/13500872-141-2-351
Schwibbert K, 2011, ENVIRON MICROBIOL, V13, P1973, DOI 10.1111/j.1462-2920.2010.02336.x
Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
TILMAN D, 1981, ECOLOGY, V62, P802, DOI 10.2307/1937747
TURNER SM, 1995, DEEP-SEA RES PT II, V42, P1059, DOI 10.1016/0967-0645(95)00066-Y
Vallino JJ, 2000, J MAR RES, V58, P117, DOI 10.1357/002224000321511223
Vallino JJ, 1996, LIMNOL OCEANOGR, V41, P1591, DOI 10.4319/lo.1996.41.8.1591
VERHEUL A, 1995, J BACTERIOL, V177, P3205, DOI 10.1128/jb.177.11.3205-3212.1995
Vit A, 2015, CHEMBIOCHEM, V16, P119, DOI 10.1002/cbic.201402522
Watanabe S, 2012, J BIOL CHEM, V287, P32674, DOI 10.1074/jbc.M112.374272
Waterhouse A, 2018, NUCLEIC ACIDS RES, V46, pW296, DOI 10.1093/nar/gky427
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
NR 95
TC 41
Z9 44
PD JUL
PY 2019
VL 21
IS 7
BP 2559
EP 2575
DI 10.1111/1462-2920.14649
UT WOS:000474294900026
DA 2025-07-30
ER
PT J
AU Song, J
Oh, HM
Cho, JC
AF Song, Jaeho
Oh, Hyun-Myung
Cho, Jang-Cheon
TI Improved culturability of SAR11 strains in dilution-to-extinction
culturing from the East Sea, West Pacific Ocean
SO FEMS MICROBIOLOGY LETTERS
DT Article
AB Although the SAR11 clade of the Alphaproteobacteria represents the most abundant and ubiquitous bacterioplankton in the ocean, very few laboratories have successfully cultured SAR11 cells. All of the SAR11 strains isolated thus far have been retrieved from the Oregon coast and the Sargasso Sea. In this study, a modified dilution-to-extinction culturing with prolonged incubation at low temperature was applied in an effort to cultivate major bacterioplankton lineages in the East Sea, Western Pacific Ocean. Five to 10 cells were inoculated into each well of 48-well plates, followed by the incubation of the plates at 10 degrees C for 4, 8, 20, and 24 weeks. Among a total of 35 isolated strains, 18 strains assigned to the SAR11 clade were isolated after 8, 20, and 24 weeks of incubation, whereas no SAR11 cells were detected in the samples after 4 weeks of incubation. The SAR11 isolates, noticeably, comprised 64-82% of the total isolates from the plates incubated for 20 and 24 weeks. Extinction cultures belonging to the Roseobacter, OM43, and SAR92 clades were also cultivated. The results of this study suggest that long-term incubation at low temperatures might prove an alternative for the efficient cultivation of new variants of the members of the SAR11 clade.
C1 [Song, Jaeho; Oh, Hyun-Myung; Cho, Jang-Cheon] Inha Univ, Div Biol & Ocean Sci, Inchon 402751, South Korea.
RP Cho, JC (corresponding author), Inha Univ, Div Biol & Ocean Sci, Inchon 402751, South Korea.
EM chojc@inha.ac.kr
CR ALTSCHUL SF, 1997, NUCLEIC ACIDS RES, V25, P3402
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cho JC, 2004, ENVIRON MICROBIOL, V6, P611, DOI 10.1111/j.1462-2920.2004.00614.x
Chun J, 2007, INT J SYST EVOL MICR, V57, P2259, DOI 10.1099/ijs.0.64915-0
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Davis H. C., 1958, Fishery Bulletin United States, V58, P293
DON RH, 1991, NUCLEIC ACIDS RES, V19, P4008, DOI 10.1093/nar/19.14.4008
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Stingl U, 2008, MICROB ECOL, V55, P395, DOI 10.1007/s00248-007-9284-4
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Swofford D. L., 2003, PAUP PHYLOGENETIC AN
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
NR 26
TC 63
Z9 78
PD JUN
PY 2009
VL 295
IS 2
BP 141
EP 147
DI 10.1111/j.1574-6968.2009.01623.x
UT WOS:000266111400001
DA 2025-07-30
ER
PT J
AU Bahr, M
Hobbie, JE
Sogin, ML
AF Bahr, M
Hobbie, JE
Sogin, ML
TI Bacterial diversity in an arctic lake: A freshwater SAR11 cluster
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB We used molecular techniques to assess the phylogenetic affinity of cultured and uncultured microorganisms from Toolik Lake, an oligotrophic lake in arctic Alaska, USA. The phylogenetic positions of cloned cultures of bacteria were determined by sequence analysis of PCR amplified ribosomal RNA genes. The Toolik Lake bacterial isolates showed a high degree of similarity, 0.94 to 0.99, to a wide variety of phyla that are well represented in the ribosomal RNA database. The occurrence of species normally associated with a terrestrial habitat (Arthrobacter globiformis and Burkholderia solanacearum) or a more nutrient-rich environment (Cytophaga aquatilis and Zoogloea ramigera) suggests a particle-associated origin for these cell types, consistent with the fact that we used an unfiltered sample. In contrast, the analysis of rRNA genes cloned from a complex natural DNA community indicated the predominance of beta-proteobacteria closely related to the rRNA homology group II pseudomonads alcaligenes eutrophus and Pseudomonas pickettii. However, 2 of the rRNA gene clones are deeply branching relatives (similarity = 0.88) of the alpha-proteobacteria SAR11 cluster, previously detected only in marine environments. This finding indicates a widespread aquatic distribution for this recently described group.
C1 MARINE BIOL LAB, CTR MOL EVOLUT, WOODS HOLE, MA 02543 USA.
RP MARINE BIOL LAB, CTR ECOSYST, WOODS HOLE, MA 02543 USA.
CR ANGERT ER, 1993, NATURE, V362, P239, DOI 10.1038/362239a0
Balows A., 1992, The Prokaryotes
BARNS SM, 1994, P NATL ACAD SCI USA, V91, P1609, DOI 10.1073/pnas.91.5.1609
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
HIRAISHI A, 1991, ARCH MICROBIOL, V155, P330
HOBBIE JE, 1988, LIMNOL OCEANOGR, V33, P750, DOI 10.4319/lo.1988.33.4_part_2.0750
HOBBIE JE, 1983, ARCTIC ALPINE RES, V15, P253, DOI 10.2307/1550926
LI X, 1993, J APPL BACTERIOL, V74, P324, DOI 10.1111/j.1365-2672.1993.tb03032.x
Maidak BL, 1996, NUCLEIC ACIDS RES, V24, P82, DOI 10.1093/nar/24.1.82
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
OBRIEN WJ, 1996, FRESHWATERS ALASKA, P61
OLSEN GJ, 1988, METHOD ENZYMOL, V164, P793
PACE NR, 1986, ADV MICROB ECOL, V9, P1
REASONER DJ, 1985, APPL ENVIRON MICROB, V49, P1
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
WARD DM, 1990, NATURE, V345, P63, DOI 10.1038/345063a0
WOESE CR, 1985, SYST APPL MICROBIOL, V6, P143, DOI 10.1016/S0723-2020(85)80047-3
NR 23
TC 86
Z9 95
PD DEC 31
PY 1996
VL 11
IS 3
BP 271
EP 277
DI 10.3354/ame011271
UT WOS:A1996WD15000008
DA 2025-07-30
ER
PT J
AU Tripp, HJ
Kitner, JB
Schwalbach, MS
Dacey, JWH
Wilhelm, LJ
Giovannoni, SJ
AF Tripp, H. James
Kitner, Joshua B.
Schwalbach, Michael S.
Dacey, John W. H.
Wilhelm, Larry J.
Giovannoni, Stephen J.
TI SAR11 marine bacteria require exogenous reduced sulphur for growth
SO NATURE
DT Article
AB Sulphur is a universally required cell nutrient found in two amino acids and other small organic molecules. All aerobic marine bacteria are known to use assimilatory sulphate reduction to supply sulphur for biosynthesis, although many can assimilate sulphur from organic compounds that contain reduced sulphur atoms(1-3). An analysis of three complete 'Candidatus Pelagibacter ubique' genomes, and public ocean metagenomic data sets, suggested that members of the ubiquitous and abundant SAR11 alphaproteobacterial clade are deficient in assimilatory sulphate reduction genes. Here we show that SAR11 requires exogenous sources of reduced sulphur, such as methionine or 3-dimethylsulphoniopropionate (DMSP) for growth. Titrations of the algal osmolyte DMSP in seawater medium containing all other macronutrients in excess showed that 1.5 x 10(8) SAR11 cells are produced per nanomole of DMSP. Although it has been shown that other marine alphaproteobacteria use sulphur from DMSP in preference to sulphate(1,2), our results indicate that 'Cand. P. ubique' relies exclusively on reduced sulphur compounds that originate from other plankton.
C1 [Tripp, H. James; Kitner, Joshua B.; Schwalbach, Michael S.; Wilhelm, Larry J.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Dacey, John W. H.] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Alm EJ, 2005, GENOME RES, V15, P1015, DOI 10.1101/gr.3844805
Bernal A, 2001, NUCLEIC ACIDS RES, V29, P126, DOI 10.1093/nar/29.1.126
Berndt C, 2004, J BIOL CHEM, V279, P7850, DOI 10.1074/jbc.M309332200
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
CUHEL RL, 1982, APPL ENVIRON MICROB, V43, P151, DOI 10.1128/AEM.43.1.151-159.1982
DANIELS L, 1986, APPL ENVIRON MICROB, V51, P703, DOI 10.1128/AEM.51.4.703-709.1986
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glaeser J, 1999, ARCH MICROBIOL, V171, P405, DOI 10.1007/s002030050727
HEINZINGER NK, 1995, J BACTERIOL, V177, P2813, DOI 10.1128/jb.177.10.2813-2820.1995
Hou SB, 2004, P NATL ACAD SCI USA, V101, P18036, DOI 10.1073/pnas.0407638102
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
LIPPERT KD, 1969, ARCH MIKROBIOL, V65, P29, DOI 10.1007/BF00412063
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Neumann S, 2000, MOL BIOL REP, V27, P27, DOI 10.1023/A:1007058421714
Nicastro D., 2006, MAM, V12, P180, DOI DOI 10.1017/S1431927606067456
Peterson JD, 2001, NUCLEIC ACIDS RES, V29, P123, DOI 10.1093/nar/29.1.123
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rückert C, 2005, BMC GENOMICS, V6, DOI 10.1186/1471-2164-6-121
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Street JH, 2005, MET IONS BIOL SYST, V43, P153
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
van Ham RCHJ, 2003, P NATL ACAD SCI USA, V100, P581, DOI 10.1073/pnas.0235981100
VENTURA S, 1988, ARCH MICROBIOL, V149, P273, DOI 10.1007/BF00411641
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 30
TC 287
Z9 332
PD APR 10
PY 2008
VL 452
IS 7188
BP 741
EP 744
DI 10.1038/nature06776
UT WOS:000254792500043
DA 2025-07-30
ER
PT J
AU Apprill, A
McNally, S
Parsons, R
Weber, L
AF Apprill, Amy
McNally, Sean
Parsons, Rachel
Weber, Laura
TI Minor revision to V4 region SSU rRNA 806R gene primer greatly increases
detection of SAR11 bacterioplankton
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB High-throughput sequencing of small subunit ribosomal RNA (SSU rRNA) genes from marine environments is a widely applied method used to uncover the composition of microbial communities. We conducted an analysis of surface ocean waters with the commonly employed hypervariable 4 region SSU rRNA gene primers 515F and 806R, and found that bacteria belonging to the SAR11 clade of Alphaproteobacteria, a group typically making up 20 to 40% of the bacterioplankton in this environment, were greatly underrepresented and comprised <4% of the total community. Using the SILVA reference database, we found a single nucleotide mismatch to nearly all SAR11 subclades, and revised the 806R primer so that it increased the detection of SAR11 clade sequences in the database from 2.6 to 96.7%. We then compared the performance of the original and revised 806R primers in surface seawater samples, and found that SAR11 comprised 0.3 to 3.9% of sequences with the original primers and 17.5 to 30.5% of the sequences with the revised 806R primer. Furthermore, an investigation of seawater obtained from aquaria re vealed that SAR11 sequences acquired with the revised 806R primer were more similar to natural cellular abundances of SAR11 detected using fluorescence in situ hybridization counts. Collectively, these results demonstrate that a minor adjustment to the 806R primer will greatly increase detection of the globally abundant SAR11 clade in marine and lake environments, and enable inclusion of this important bacterial lineage in experimental and environmental-based studies.
C1 [Apprill, Amy; McNally, Sean; Weber, Laura] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.
[McNally, Sean; Parsons, Rachel] Bermuda Inst Ocean Sci, Ferry Reach, St Georges, Bermuda.
RP Apprill, A (corresponding author), Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.
EM apprill@whoi.edu
CR Acinas SG, 2005, APPL ENVIRON MICROB, V71, P8966, DOI 10.1128/AEM.71.12.8966-8969.2005
Bru D, 2008, APPL ENVIRON MICROB, V74, P1660, DOI 10.1128/AEM.02403-07
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cuvelier ML, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00581
de Putron SJ, 2011, CORAL REEFS, V30, P321, DOI 10.1007/s00338-010-0697-z
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Gilbert JA, 2014, BMC BIOL, V12, DOI 10.1186/s12915-014-0069-1
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hong SH, 2009, ISME J, V3, P1365, DOI 10.1038/ismej.2009.89
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Kibbe WA, 2007, NUCLEIC ACIDS RES, V35, pW43, DOI 10.1093/nar/gkm234
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lee CK, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0037897, 10.1371/journal.pone.0044224]
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Mao DP, 2012, BMC MICROBIOL, V12, DOI 10.1186/1471-2180-12-66
Meyer JL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100316
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Parsons RJ, 2015, ENVIRON MICROBIOL, V17, P3481, DOI 10.1111/1462-2920.12445
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Paver SF, 2013, ENVIRON MICROBIOL, V15, P2489, DOI 10.1111/1462-2920.12131
Pinto AJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043093
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sipos R, 2007, FEMS MICROBIOL ECOL, V60, P341, DOI 10.1111/j.1574-6941.2007.00283.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Taylor JD, 2014, ISME J, V8, P245, DOI 10.1038/ismej.2013.178
Treusch AH, 2012, ISME J, V6, P481, DOI 10.1038/ismej.2011.117
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
NR 41
TC 1682
Z9 1914
PY 2015
VL 75
IS 2
BP 129
EP 137
DI 10.3354/ame01753
UT WOS:000357106200004
HC Y
HP N
DA 2025-07-30
ER
PT J
AU Tsementzi, D
Rodriguez-R, LM
Ruiz-Perez, CA
Meziti, A
Hatt, JK
Konstantinidis, KT
AF Tsementzi, Despina
Rodriguez-R, Luis M.
Ruiz-Perez, Carlos A.
Meziti, Alexandra
Hatt, Janet K.
Konstantinidis, Konstantinos T.
TI Ecogenomic characterization of widespread, closely-related SAR11 clades
of the freshwater genus "Candidatus Fonsibacter" and proposal of
Ca. Fonsibacter lacus sp. nov
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB The ubiquitous alpha-proteobacteria of the order "Candidatus Pelagibacterales" (SAR11) are highly abundant in aquatic environments, and among them, members of the monophyletic lineage LD12 (also known as SAR11 Glade IIIb) are specifically found in lacustrine ecosystems. Clade IIIb bacteria are some of the most prominent members of freshwater environments, but little is known about their biology due to the lack of genome representatives. Only recently, the first non-marine isolate was cultured and described as "Candidatus Fonsibacter ubiquis". Here, we expand the collection of freshwater IIIb representatives and describe a new IIIb species of the genus "Ca. Fonsibacter". Specifically, we assembled a collection of 67 freshwater metagenomic datasets from the interconnected lakes of the Chattahoochee River basin (GA, USA) and obtained nearly complete metagenome-assembled genomes (MAGs) representing 5 distinct IIIb subclades, roughly equivalent to species based on genomic standards, including the previously described "Ca. F. ubiquis". Genomic comparisons between members of the IIIb species revealed high similarity in gene content. However, when comparing their abundance profiles in the Chattahoochee basin and various aquatic environments, differences in temporal and spatial distributions among the distinct species were observed implying niche differentiation might be underlying the coexistence of the highly functionally similar representatives. The name Ca. Fonsibacter lacus sp. nov. is proposed for the most abundant and widespread species in the Chattahoochee River basin and various freshwater ecosystems. (C) 2019 Elsevier GmbH. All rights reserved.
C1 [Tsementzi, Despina; Rodriguez-R, Luis M.; Meziti, Alexandra; Hatt, Janet K.; Konstantinidis, Konstantinos T.] Georgia Inst Technol, Sch Civil & Environm Engn, Ford Environm Sci & Technol Bldg,311 Ferst Dr, Atlanta, GA 30332 USA.
[Ruiz-Perez, Carlos A.; Konstantinidis, Konstantinos T.] Georgia Inst Technol, Sch Biol Sci, Ford Environm Sci & Technol Bldg,311 Ferst Dr, Atlanta, GA 30332 USA.
RP Konstantinidis, KT (corresponding author), Georgia Inst Technol, Sch Civil & Environm Engn, 311 Ferst Dr, Atlanta, GA 30332 USA.; Konstantinidis, KT (corresponding author), Georgia Inst Technol, Sch Biol, 311 Ferst Dr, Atlanta, GA 30332 USA.
EM kostas@ce.gatech.edu
CR [Anonymous], NUCL ACID RES
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Castro JC, 2018, PEERJ, V6, DOI 10.7717/peerj.5882
Cox MP, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-485
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Eiler A, 2014, ENVIRON MICROBIOL, V16, P2682, DOI 10.1111/1462-2920.12301
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Hoetzinger M, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02266-16
Huerta-Cepas J, 2017, MOL BIOL EVOL, V34, P2115, DOI 10.1093/molbev/msx148
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jain C, 2017, bioRxiv, DOI 10.1101/225342
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Konstantinidis KT, 2004, P NATL ACAD SCI USA, V101, P3160, DOI 10.1073/pnas.0308653100
Lagesen K, 2007, NUCLEIC ACIDS RES, V35, P3100, DOI 10.1093/nar/gkm160
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Li HG, 2009, ACTA BIOCH BIOPH SIN, V41, P922, DOI 10.1093/abbs/gmp081
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Oh SD, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01137-14
Ondov BD, 2016, GENOME BIOL, V17, DOI 10.1186/s13059-016-0997-x
Orellana LH, 2017, NUCLEIC ACIDS RES, V45, DOI 10.1093/nar/gkw900
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
Rodriguez R-LM, 2014, MICROBE, V9, P111
Rodriguez-R LM., 2016, PeerJ Preprints, V4, pe1900v1, DOI [DOI 10.7287/PEERJ.PREPRINTS.1900V1, 10.7287/peerj.preprints.1900v1]
Rodriguez-R LM, 2014, BIOINFORMATICS, V30, P629, DOI 10.1093/bioinformatics/btt584
Rodriguez-Valera F, 2016, CURR OPIN MICROBIOL, V31, P154, DOI 10.1016/j.mib.2016.03.014
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
Stackebrandt E, 2002, INT J SYST EVOL MICR, V52, P1043, DOI [10.1099/ijs.0.02360-0, 10.1099/00207713-52-3-1043]
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wu CH, 2006, NUCLEIC ACIDS RES, V34, pD187, DOI 10.1093/nar/gkj161
Wu YW, 2016, BIOINFORMATICS, V32, P605, DOI 10.1093/bioinformatics/btv638
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
NR 64
TC 24
Z9 25
PD JUL
PY 2019
VL 42
IS 4
BP 495
EP 505
DI 10.1016/j.syapm.2019.03.007
UT WOS:000474343600008
DA 2025-07-30
ER
PT J
AU Lanclos, VC
Rasmussen, AN
Kojima, CY
Cheng, CK
Henson, MW
Faircloth, BC
Francis, CA
Thrash, JC
AF Lanclos, V. Celeste
Rasmussen, Anna N. N.
Kojima, Conner Y. Y.
Cheng, Chuankai
Henson, Michael W. W.
Faircloth, Brant C. C.
Francis, Christopher A. A.
Thrash, J. Cameron
TI Ecophysiology and genomics of the brackish water adapted SAR11 subclade
IIIa
SO ISME JOURNAL
DT Article
AB The Order Pelagibacterales (SAR11) is the most abundant group of heterotrophic bacterioplankton in global oceans and comprises multiple subclades with unique spatiotemporal distributions. Subclade IIIa is the primary SAR11 group in brackish waters and shares a common ancestor with the dominant freshwater IIIb (LD12) subclade. Despite its dominance in brackish environments, subclade IIIa lacks systematic genomic or ecological studies. Here, we combine closed genomes from new IIIa isolates, new IIIa MAGS from San Francisco Bay (SFB), and 460 highly complete publicly available SAR11 genomes for the most comprehensive pangenomic study of subclade IIIa to date. Subclade IIIa represents a taxonomic family containing three genera (denoted as subgroups IIIa.1, IIIa.2, and IIIa.3) that had distinct ecological distributions related to salinity. The expansion of taxon selection within subclade IIIa also established previously noted metabolic differentiation in subclade IIIa compared to other SAR11 subclades such as glycine/serine prototrophy, mosaic glyoxylate shunt presence, and polyhydroxyalkanoate synthesis potential. Our analysis further shows metabolic flexibility among subgroups within IIIa. Additionally, we find that subclade IIIa.3 bridges the marine and freshwater clades based on its potential for compatible solute transport, iron utilization, and bicarbonate management potential. Pure culture experimentation validated differential salinity ranges in IIIa.1 and IIIa.3 and provided detailed IIIa cell size and volume data. This study is an important step forward for understanding the genomic, ecological, and physiological differentiation of subclade IIIa and the overall evolutionary history of SAR11.
C1 [Lanclos, V. Celeste; Kojima, Conner Y. Y.; Cheng, Chuankai; Thrash, J. Cameron] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
[Rasmussen, Anna N. N.; Francis, Christopher A. A.] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
[Henson, Michael W. W.] Univ Chicago, Dept Geophys Sci, Chicago, IL 60637 USA.
[Faircloth, Brant C. C.] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
[Faircloth, Brant C. C.] Louisiana State Univ, Museum Nat Sci, Baton Rouge, LA 70803 USA.
RP Thrash, JC (corresponding author), Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
EM thrash@usc.edu
CR Ahmed MA, 2021, MICROBIOL RESOUR ANN, V10, DOI 10.1128/MRA.00262-21
Alneberg J, 2020, COMMUN BIOL, V3, DOI 10.1038/s42003-020-0856-x
Alneberg J, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.146
Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
Alverson AJ, 2007, MOL PHYLOGENET EVOL, V45, P193, DOI 10.1016/j.ympev.2007.03.024
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Battaglia B., 1959, ARCH OCEANOGR LIMNOL, V11, P243
Biller SJ., 2018, SCI DATA, V5
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Cabello-Yeves PJ, 2018, ENVIRON MICROBIOL, V20, P3757, DOI 10.1111/1462-2920.14377
Campbell BJ, 2022, bioRxiv, DOI [10.1101/2022.05.04.490708, 10.1101/2022.05.04.490708v2, DOI 10.1101/2022.05.04.490708]
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Cheng CK, 2021, MICROBIOL RESOUR ANN, V10, DOI 10.1128/MRA.00296-21
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Czech L, 2018, GENES-BASEL, V9, DOI 10.3390/genes9040177
Day J.W., 2012, Estuarine Ecology, V2nd, DOI DOI 10.1002/9781118412787
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Di Cesare A, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01979
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eren AM, 2021, NAT MICROBIOL, V6, P3, DOI 10.1038/s41564-020-00834-3
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hopwood MJ, 2015, MAR CHEM, V173, P173, DOI 10.1016/j.marchem.2014.11.004
Huang KS, 2018, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02656
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
Kaczmarski JA, 2019, BIOCHEMISTRY-US, V58, P5030, DOI 10.1021/acs.biochem.9b00880
Kojima CY, 2022, MICROBIOL RESOUR ANN, V11, DOI 10.1128/mra.00644-22
Konstantinidis KT, 2007, CURR OPIN MICROBIOL, V10, P504, DOI 10.1016/j.mib.2007.08.006
Konstantinidis KT, 2005, J BACTERIOL, V187, P6258, DOI 10.1128/JB.187.18.6258-6264.2005
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martijn J, 2018, NATURE, V557, P101, DOI 10.1038/s41586-018-0059-5
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Muñoz-Gómez SA, 2022, NAT ECOL EVOL, V6, P253, DOI 10.1038/s41559-021-01638-2
Obruca S, 2018, BIOTECHNOL ADV, V36, P856, DOI 10.1016/j.biotechadv.2017.12.006
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Oh S, 2016, ENV MICROBIOL REP, V8, P595, DOI 10.1111/1758-2229.12408
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Patel MS, 2014, J BIOL CHEM, V289, P16615, DOI 10.1074/jbc.R114.563148
Paver SF, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00232-18
Ramachandran A, 2021, MBIO, V12, DOI 10.1128/mBio.01306-21
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rasmussen AN, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.01270-21
Rasmussen AN, 2021, MICROB ECOL, V81, P601, DOI 10.1007/s00248-020-01621-7
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Sakowski EG, 2021, NAT MICROBIOL, V6, P630, DOI 10.1038/s41564-021-00873-4
Savoie ER, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00276-21
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
SHIKATA H, 1989, BIOCHEM INT, V18, P933
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sudesh K, 2000, PROG POLYM SCI, V25, P1503, DOI 10.1016/S0079-6700(00)00035-6
Suffridge CP, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.606342
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tao P, 2016, APPL MICROBIOL BIOT, V100, P6779, DOI 10.1007/s00253-016-7549-x
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Tsementzi D, 2019, SYST APPL MICROBIOL, V42, P495, DOI 10.1016/j.syapm.2019.03.007
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Veaudor T, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02052
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Walker BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112963
Widner B, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy138
Xu B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01153-4
Yarza P, 2014, NAT REV MICROBIOL, V12, P635, DOI 10.1038/nrmicro3330
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zubkov MV, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8878
NR 97
TC 16
Z9 16
PD APR
PY 2023
VL 17
IS 4
BP 620
EP 629
DI 10.1038/s41396-023-01376-2
EA FEB 2023
UT WOS:000925942900001
DA 2025-07-30
ER
PT J
AU Dadon-Pilosof, A
Conley, KR
Jacobi, Y
Haber, M
Lombard, F
Sutherland, KR
Steindler, L
Tikochinski, Y
Richter, M
Glöckner, FO
Suzuki, MT
West, NJ
Genin, A
Yahel, G
AF Dadon-Pilosof, Ayelet
Conley, Keats R.
Jacobi, Yuval
Haber, Markus
Lombard, Fabien
Sutherland, Kelly R.
Steindler, Laura
Tikochinski, Yaron
Richter, Michael
Gloeckner, Frank Oliver
Suzuki, Marcelino T.
West, Nyree J.
Genin, Amatzia
Yahel, Gitai
TI Surface properties of SAR11 bacteria facilitate grazing avoidance
SO NATURE MICROBIOLOGY
DT Article
AB Oceanic ecosystems are dominated by minute microorganisms that play a major role in food webs and biogeochemical cycles(1). Many microorganisms thrive in the dilute environment due to their capacity to locate, attach to, and use patches of nutrients and organic matter(2,3). We propose that some free-living planktonic bacteria have traded their ability to stick to nutrient-rich organic particles for a non-stick cell surface that helps them evade predation by mucous filter feeders. We used a combination of in situ sampling techniques and next-generation sequencing to study the biological filtration of microorganisms at the phylotype level. Our data indicate that some marine bacteria, most notably the highly abundant Pelagibacter ubique and most other members of the SAR 11 clade of the Alphaproteobacteria, can evade filtration by slipping through the mucous nets of both pelagic and benthic tunicates. While 0.3 mu m polystyrene beads and other similarly-sized bacteria were efficiently filtered, SAR11 members were not captured. Reversed-phase chromatography revealed that most SAR11 bacteria have a much less hydrophobic cell surface than that of other planktonic bacteria. Our data call for a reconsideration of the role of surface properties in biological filtration and predator-prey interactions in aquatic systems.
C1 [Dadon-Pilosof, Ayelet; Jacobi, Yuval; Tikochinski, Yaron; Yahel, Gitai] Ruppin Acad Ctr, Sch Marine Sci, IL-4029700 Michmoret, Israel.
[Dadon-Pilosof, Ayelet; Genin, Amatzia] Hebrew Univ Jerusalem, Dept Ecol Evolut & Behav, IL-9190401 Jerusalem, Israel.
[Conley, Keats R.; Sutherland, Kelly R.] Univ Oregon, Oregon Inst Marine Biol, Eugene, OR 97403 USA.
[Jacobi, Yuval] Tel Aviv Univ, Sch Zool, George S Wise Fac Life Sci, IL-69978 Tel Aviv, Israel.
[Haber, Markus; Steindler, Laura] Univ Haifa, Leon H Charney Sch Marine Sci, Dept Marine Biol, IL-3498838 Haifa, Israel.
[Lombard, Fabien] Sorbonne Univ, Univ Pierre & Marie Curie, Observ Oceanol Villefranche Sur Mer OOV, Lab Oceanog Villefranche Sur Mer, F-06230 Villefranche Sur Mer, France.
[Richter, Michael; Gloeckner, Frank Oliver] Max Planck Inst Marine Microbiol, Microbial Genom & Bioinformat Res Grp, Celsiusstr 1, D-28359 Bremen, Germany.
[Gloeckner, Frank Oliver] Jacobs Univ, Campusring 1, D-28759 Bremen, Germany.
[Suzuki, Marcelino T.] Sorbonne Univ, UPMC Univ Paris 06, CNRS, LBBM,Observ Oceanol, F-66650 Banyuls Sur Mer, France.
[West, Nyree J.] Sorbonne Univ, UPMC Univ Paris 06, CNRS, OOB, F-66650 Banyuls Sur Mer, France.
[Genin, Amatzia] Interuniv Inst Marine Sci Eilat, IL-8810302 Elat, Israel.
RP Dadon-Pilosof, A (corresponding author), Ruppin Acad Ctr, Sch Marine Sci, IL-4029700 Michmoret, Israel.; Dadon-Pilosof, A (corresponding author), Hebrew Univ Jerusalem, Dept Ecol Evolut & Behav, IL-9190401 Jerusalem, Israel.
EM ayelet@ruppin.ac.il
CR ALLDREDGE AL, 1981, LIMNOL OCEANOGR, V26, P247, DOI 10.4319/lo.1981.26.2.0247
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
BUSSCHER HJ, 1987, FEMS MICROBIOL LETT, V46, P165, DOI 10.1016/0378-1097(87)90062-0
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHESSON J, 1983, ECOLOGY, V64, P1297, DOI 10.2307/1937838
CUNNINGHAM A, 1992, J PLANKTON RES, V14, P223, DOI 10.1093/plankt/14.2.223
D'Alelio D, 2016, SCI REP-UK, V6, DOI 10.1038/srep21806
de Vargas C, 2015, SCIENCE, V348, DOI 10.1126/science.1261605
Diepenbroek M., 2014, INFORM 2014, P1711
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
FLOOD PR, 1991, MAR BIOL, V111, P95, DOI 10.1007/BF01986351
Giovannoni S. J, 2016, ANNU REV MAR SCI, V9, P1
Guieb RA, 2004, J MAR RES, V62, P261
GUILLARD RRL, 1993, PHYCOLOGIA, V32, P234, DOI 10.2216/i0031-8884-32-3-234.1
Kirchman D.L., 2008, Microbial Ecology of the Oceans, V2nd
Lai SK, 2009, ADV DRUG DELIVER REV, V61, P86, DOI 10.1016/j.addr.2008.09.012
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Matz C, 2005, TRENDS MICROBIOL, V13, P302, DOI 10.1016/j.tim.2005.05.009
Monger BC, 1999, LIMNOL OCEANOGR, V44, P1917, DOI 10.4319/lo.1999.44.8.1917
Morganti T. M., 2016, JOVE-J VIS EXP, V114
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Ondov BD, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-385
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Petersen JK, 2007, J EXP MAR BIOL ECOL, V342, P127, DOI 10.1016/j.jembe.2006.10.023
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riisgård HU, 2001, MAR ECOL PROG SER, V211, P275, DOI 10.3354/meps211275
ROBERTSON BR, 1989, CYTOMETRY, V10, P70, DOI 10.1002/cyto.990100112
Robison BH, 2005, SCIENCE, V308, P1609, DOI 10.1126/science.1109104
Scheinberg RD, 2005, MAR ECOL PROG SER, V294, P201, DOI 10.3354/meps294201
SHIMETA J, 1991, OCEANOGR MAR BIOL, V29, P191
SIMON N, 1994, J PHYCOL, V30, P922, DOI 10.1111/j.0022-3646.1994.00922.x
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Suzuki MT, 1999, AQUAT MICROB ECOL, V20, P261, DOI 10.3354/ame020261
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Tarao M, 2009, APPL ENVIRON MICROB, V75, P4720, DOI 10.1128/AEM.00251-09
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Toribio AL, 2017, NUCLEIC ACIDS RES, V45, pD32, DOI 10.1093/nar/gkw1106
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Yahel G, 2006, AQUAT MICROB ECOL, V45, P181, DOI 10.3354/ame045181
Yahel G, 2009, AQUAT BIOL, V6, P235, DOI 10.3354/ab00131
Yawata Y, 2014, P NATL ACAD SCI USA, V111, P5622, DOI 10.1073/pnas.1318943111
Yilmaz P, 2011, NAT BIOTECHNOL, V29, P415, DOI 10.1038/nbt.1823
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 57
TC 54
Z9 57
PD DEC
PY 2017
VL 2
IS 12
BP 1608
EP 1615
DI 10.1038/s41564-017-0030-5
UT WOS:000417976600012
DA 2025-07-30
ER
PT J
AU Luo, HW
Thompson, LR
Stingl, U
Hughes, AL
AF Luo, Haiwei
Thompson, Luke R.
Stingl, Ulrich
Hughes, Austin L.
TI Selection Maintains Low Genomic GC Content in Marine SAR11 Lineages
SO MOLECULAR BIOLOGY AND EVOLUTION
DT Article
AB The genomic G+C content of ocean bacteria varies from below 30% to over 60%. This broad range of base composition is likely shaped by distinct mutational processes, recombination, effective population size, and selection driven by environmental factors. A number of studies have hypothesized that depletion of G/C in genomes of marine bacterioplankton cells is an adaptation to the nitrogen-poor pelagic oceans, but they failed to disentangle environmental factors from mutational biases and population history. Here, we reconstructed the evolutionary changes of bases at synonymous sites in genomes of two marine SAR11 populations and a freshwater counterpart with its evolutionary origin rooted in the marine lineage. Although they all have similar genome sizes, DNA repair gene repertoire, and base compositions, there is a stronger bias toward A/T changes, a reduced frequency of nitrogenous amino acids, and an exclusive occurrence of polyamine, opine, and taurine transport systems in the ocean populations, consistent with a greater nitrogen stress in surface oceans compared with freshwater lakes. Furthermore, the ratio of nonsynoymous to synonymous nucleotide diversity is not statistically distinguishable among these populations, suggesting that population history has a limited effect. Taken together, the ecological transition of SAR11 from ocean to freshwater habitats makes nitrogen more available to these organisms, and thus relaxation of purifying selection drove a genome-wide reduction in the frequency of G/C to A/T changes in the freshwater population.
C1 [Luo, Haiwei] Chinese Univ Hong Kong, Simon FS Li Marine Sci Lab, Sch Life Sci, Shatin, Hong Kong, Peoples R China.
[Thompson, Luke R.; Stingl, Ulrich] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Thuwal, Saudi Arabia.
[Hughes, Austin L.] Univ S Carolina, Dept Biol Sci, Columbia, SC 29208 USA.
RP Luo, HW (corresponding author), Chinese Univ Hong Kong, Simon FS Li Marine Sci Lab, Sch Life Sci, Shatin, Hong Kong, Peoples R China.
EM hluo2006@gmail.com
CR Assefa S, 2009, BIOINFORMATICS, V25, P1968, DOI 10.1093/bioinformatics/btp347
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Balbi KJ, 2009, MOL BIOL EVOL, V26, P345, DOI 10.1093/molbev/msn252
Batut B, 2014, NAT REV MICROBIOL, V12, P841, DOI 10.1038/nrmicro3331
Bonfield JK, 1995, NUCLEIC ACIDS RES, V23, P4992, DOI 10.1093/nar/23.24.4992
Bragg JG, 2004, P ROY SOC B-BIOL SCI, V271, pS374, DOI 10.1098/rsbl.2004.0193
Bruen TC, 2006, GENETICS, V172, P2665, DOI 10.1534/genetics.105.048975
Canfield DE, 2010, SCIENCE, V330, P192, DOI 10.1126/science.1186120
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hershberg R, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001115
Hildebrand F, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001107
Hughes AL, 2005, GENETICS, V169, P533, DOI 10.1534/genetics.104.036939
Hughes AL, 2008, ANN NY ACAD SCI, V1133, P162, DOI 10.1196/annals.1438.001
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Katoh K, 2005, NUCLEIC ACIDS RES, V33, P511, DOI 10.1093/nar/gki198
Knapp EW, 2011, CONSERV GENET RESOUR, V3, P429, DOI 10.1007/s12686-010-9372-5
Knoll AH, 2006, PHILOS T R SOC B, V361, P1023, DOI 10.1098/rstb.2006.1843
Kunkel TA, 2005, ANNU REV BIOCHEM, V74, P681, DOI 10.1146/annurev.biochem.74.082803.133243
Kusano T, 2007, J PLANT RES, V120, P345, DOI 10.1007/s10265-007-0074-3
Lassalle F, 2015, PLOS GENET, V11, DOI 10.1371/journal.pgen.1004941
LEE C, 1995, BIOGEOCHEMISTRY, V29, P131
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
LI WH, 1991, GENETICS, V129, P513
Lind PA, 2008, P NATL ACAD SCI USA, V105, P17878, DOI 10.1073/pnas.0804445105
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Luo HW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00191
Luo HW, 2014, ISME J, V8, P1428, DOI 10.1038/ismej.2013.248
Luo HW, 2014, ENV MICROBIOL REP, V6, P167, DOI 10.1111/1758-2229.12129
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Luo HW, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.58
Magnuson JJ., 2006, Long-term dynamics of lakes in the landscape: long-term ecological research on north temperate lakes
McCutcheon JP, 2012, NAT REV MICROBIOL, V10, P13, DOI 10.1038/nrmicro2670
McMahon KD, 2013, ANNU REV MICROBIOL, V67, P199, DOI 10.1146/annurev-micro-092412-155713
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moretti S, 2008, NUCLEIC ACIDS RES, V36, pW10, DOI 10.1093/nar/gkn278
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2011, ENV MICROBIOL REP, V3, P798, DOI 10.1111/j.1758-2229.2011.00289.x
Naya H, 2002, J MOL EVOL, V55, P260, DOI 10.1007/s00239-002-2323-3
NEI M, 1986, MOL BIOL EVOL, V3, P418
Nei M., 2000, Molecular Evolution and Phylogenetics
Nei M, 2010, ANNU REV GENOM HUM G, V11, P265, DOI 10.1146/annurev-genom-082908-150129
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Nishibori N, 2001, FISHERIES SCI, V67, P79, DOI 10.1046/j.1444-2906.2001.00202.x
Post AF, 2005, AQUAT ECOL SER, V3, P87
Raghavan R, 2012, P NATL ACAD SCI USA, V109, P14504, DOI 10.1073/pnas.1205683109
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rocha EPC, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001104
Rocha EPC, 2006, J THEOR BIOL, V239, P226, DOI 10.1016/j.jtbi.2005.08.037
Romero H, 2009, J MOL EVOL, V69, P203, DOI 10.1007/s00239-009-9230-9
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Ruttenberg K C, 2012, Front Microbiol, V3, P274, DOI 10.3389/fmicb.2012.00274
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
Sterner RW, 2008, INT REV HYDROBIOL, V93, P433, DOI 10.1002/iroh.200811068
Strous M, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00410
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
TABOR CW, 1985, MICROBIOL REV, V49, P81, DOI 10.1128/MMBR.49.1.81-99.1985
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Touchon M, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000344
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wernegreen JJ, 2015, ANN NY ACAD SCI, V1360, P16, DOI 10.1111/nyas.12740
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Yang ZH, 1997, COMPUT APPL BIOSCI, V13, P555
Yang ZH, 1998, MOL BIOL EVOL, V15, P568, DOI 10.1093/oxfordjournals.molbev.a025957
Yarza P, 2014, NAT REV MICROBIOL, V12, P635, DOI 10.1038/nrmicro3330
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhang Zhang, 2006, Genomics Proteomics & Bioinformatics, V4, P259, DOI 10.1016/S1672-0229(07)60007-2
NR 80
TC 39
Z9 45
PD OCT
PY 2015
VL 32
IS 10
BP 2738
EP 2748
DI 10.1093/molbev/msv149
UT WOS:000361987100021
DA 2025-07-30
ER
PT J
AU Giebel, HA
Kalhoefer, D
Lemke, A
Thole, S
Gahl-Janssen, R
Simon, M
Brinkhoff, T
AF Giebel, Helge-Ansgar
Kalhoefer, Daniela
Lemke, Andreas
Thole, Sebastian
Gahl-Janssen, Renate
Simon, Meinhard
Brinkhoff, Thorsten
TI Distribution of Roseobacter RCA and SAR11 lineages in the North
Sea and characteristics of an abundant RCA isolate
SO ISME JOURNAL
DT Article
AB The Roseobacter group and SAR11 clade constitute high proportions of the marine bacterioplankton, but only scarce information exists on the abundance of distinct populations of either lineage. Therefore, we quantified the abundance of the largest cluster of the Roseobacter group, the RCA (Roseobacter clade affiliated) cluster together with the SAR11 clade by quantitative PCR in the southern and eastern North Sea. The RCA cluster constituted up to 15 and 21% of total bacterial 16S ribosomal RNA (rRNA) genes in September 2005 and May 2006, respectively. At a few stations, the RCA cluster exceeded the SAR11 clade, whereas at most stations, SAR11 constituted higher fractions with maxima of 37%. In most samples, only one RCA ribotype was detected. RCA abundance was positively correlated with phaeopigments, chlorophyll, dissolved and particulate organic carbon (POC), turnover rates of dissolved free amino acids (DFAAs), temperature, and negatively correlated with salinity. The SAR11 clade was only correlated with POC (negatively, May) and with DFAA turnover rates (positively, September). An abundant RCA strain, 'Candidatus Planktomarina temperata', was isolated from the southern North Sea. This strain has an identical 16S rRNA gene sequence to the dominant RCA ribotype. Detection of the pufM gene, coding for a subunit of the reaction center of bacteriochlorophyll a, indicates the potential of the isolate for aerobic anoxygenic photosynthesis. Our study shows that a distinct population of the RCA cluster constitutes an abundant bacterioplankton group in a neritic sea of the temperate zone and indicates that this population has an important role during decaying phytoplankton blooms. The ISME Journal (2011) 5, 8-19; doi:10.1038/ismej.2010.87; published online 1 July 2010
C1 [Giebel, Helge-Ansgar; Kalhoefer, Daniela; Lemke, Andreas; Thole, Sebastian; Gahl-Janssen, Renate; Simon, Meinhard; Brinkhoff, Thorsten] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm ICBM, D-26111 Oldenburg, Germany.
RP Simon, M (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm ICBM, D-26111 Oldenburg, Germany.
EM m.simon@icbm.de
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Gutiérrez J, 2009, FEMS MICROBIOL ECOL, V70, P493, DOI 10.1111/j.1574-6941.2009.00766.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
[Anonymous], BIOL GEWASSERUNTERSU
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Brinkhoff T, 1997, APPL ENVIRON MICROB, V63, P3789, DOI 10.1128/AEM.63.10.3789-3796.1997
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Dellwig O, 2007, J SEA RES, V57, P1, DOI 10.1016/j.seares.2006.07.006
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
EISMA D, 1987, PHILOS T ROY SOC B, V316, P461, DOI 10.1098/rstb.1987.0032
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Gerdts G, 2004, HELGOLAND MAR RES, V58, P230, DOI 10.1007/s10152-004-0189-z
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Hall T. A., NUCL ACIDS S SER, V41, P95
HOMMEL G, 1988, BIOMETRIKA, V75, P383, DOI 10.1093/biomet/75.2.383
Jiao NZ, 2007, ENVIRON MICROBIOL, V9, P3091, DOI 10.1111/j.1462-2920.2007.01419.x
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Lunau M, 2006, LIMNOL OCEANOGR, V51, P847, DOI 10.4319/lo.2006.51.2.0847
Lunau M, 2005, ENVIRON MICROBIOL, V7, P961, DOI 10.1111/j.1462-2920.2005.00767.x
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Mayali X, 2008, APPL ENVIRON MICROB, V74, P2595, DOI 10.1128/AEM.02191-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nadkarni MA, 2002, MICROBIOL-SGM, V148, P257, DOI 10.1099/00221287-148-1-257
OTTO L, 1990, NETH J SEA RES, V26, P161, DOI 10.1016/0077-7579(90)90091-T
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reinthaler T, 2005, APPL ENVIRON MICROB, V71, P2260, DOI 10.1128/AEM.71.5.2260-2266.2005
Rink B, 2007, AQUAT MICROB ECOL, V48, P47, DOI 10.3354/ame048047
Sapp M, 2007, APPL ENVIRON MICROB, V73, P3117, DOI 10.1128/AEM.02274-06
Schaefer JK, 2002, INT J SYST EVOL MICR, V52, P851, DOI [10.1099/ijs.0.01960-0, 10.1099/00207713-52-3-851]
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Stevens H, 2005, AQUAT MICROB ECOL, V38, P15, DOI 10.3354/ame038015
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teske A, 2000, APPL ENVIRON MICROB, V66, P3125, DOI 10.1128/AEM.66.8.3125-3133.2000
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Yutin N, 2005, APPL ENVIRON MICROB, V71, P8958, DOI 10.1128/AEM.71.12.8958-8962.2005
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 58
TC 107
Z9 114
PD JAN
PY 2011
VL 5
IS 1
BP 8
EP 19
DI 10.1038/ismej.2010.87
UT WOS:000285845200002
DA 2025-07-30
ER
PT J
AU Vergin, KL
Beszteri, B
Monier, A
Thrash, JC
Temperton, B
Treusch, AH
Kilpert, F
Worden, AZ
Giovannoni, SJ
AF Vergin, Kevin L.
Beszteri, Bank
Monier, Adam
Thrash, J. Cameron
Temperton, Ben
Treusch, Alexander H.
Kilpert, Fabian
Worden, Alexandra Z.
Giovannoni, Stephen J.
TI High-resolution SAR11 ecotype dynamics at the Bermuda Atlantic
Time-series Study site by phylogenetic placement of pyrosequences
SO ISME JOURNAL
DT Article
AB Advances in next-generation sequencing technologies are providing longer nucleotide sequence reads that contain more information about phylogenetic relationships. We sought to use this information to understand the evolution and ecology of bacterioplankton at our long-term study site in the Western Sargasso Sea. A bioinformatics pipeline called PhyloAssigner was developed to align pyrosequencing reads to a reference multiple sequence alignment of 16S ribosomal RNA (rRNA) genes and assign them phylogenetic positions in a reference tree using a maximum likelihood algorithm. Here, we used this pipeline to investigate the ecologically important SAR11 clade of Alphaproteobacteria. A combined set of 2.7 million pyrosequencing reads from the 16S rRNA V1-V2 regions, representing 9 years at the Bermuda Atlantic Time-series Study (BATS) site, was quality checked and parsed into a comprehensive bacterial tree, yielding 929 036 Alphaproteobacteria reads. Phylogenetic structure within the SAR11 clade was linked to seasonally recurring spatiotemporal patterns. This analysis resolved four new SAR11 ecotypes in addition to five others that had been described previously at BATS. The data support a conclusion reached previously that the SAR11 clade diversified by subdivision of niche space in the ocean water column, but the new data reveal a more complex pattern in which deep branches of the clade diversified repeatedly across depth strata and seasonal regimes. The new data also revealed the presence of an unrecognized clade of Alphaproteobacteria, here named SMA-1 (Sargasso Mesopelagic Alphaproteobacteria, group 1), in the upper mesopelagic zone. The high-resolution phylogenetic analyses performed herein highlight significant, previously unknown, patterns of evolutionary diversification, within perhaps the most widely distributed heterotrophic marine bacterial clade, and strongly links to ecosystem regimes.
C1 [Vergin, Kevin L.; Beszteri, Bank; Thrash, J. Cameron; Temperton, Ben; Treusch, Alexander H.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Beszteri, Bank; Kilpert, Fabian] Alfred Wegener Inst Polar & Marine Res, Bremerhaven, Germany.
[Monier, Adam] Monterey Bay Aquarium Res Inst, Moss Landing, CA USA.
[Treusch, Alexander H.] Univ Southern Denmark, Inst Biol, Odense, Denmark.
[Treusch, Alexander H.] Univ Southern Denmark, Nord Ctr Earth Evolut NordCEE, Odense, Denmark.
[Kilpert, Fabian] Hsch Bremerhaven, Div Biotechnol, Bremerhaven, Germany.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Berger SA, 2011, SYST BIOL, V60, P291, DOI 10.1093/sysbio/syr010
Binladen J, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000197
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chakravorty S, 2007, J MICROBIOL METH, V69, P330, DOI 10.1016/j.mimet.2007.02.005
Clarke KR., 2006, PRIMER VERSION 7 USE
Cohan FM, 2007, CURR BIOL, V17, pR373, DOI 10.1016/j.cub.2007.03.032
Cohan FM, 2006, PHILOS T R SOC B, V361, P1985, DOI 10.1098/rstb.2006.1918
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Felsenstein J., 2003, Inferring phylogenies, V2
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Hamady M, 2010, ISME J, V4, P17, DOI 10.1038/ismej.2009.97
Hamp TJ, 2009, APPL ENVIRON MICROB, V75, P3263, DOI 10.1128/AEM.01931-08
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Huson DH, 2011, GENOME RES, V21, P1552, DOI 10.1101/gr.120618.111
Jeraldo P, 2011, ENVIRON MICROBIOL, V13, P3000, DOI 10.1111/j.1462-2920.2011.02577.x
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Koski LB, 2001, J MOL EVOL, V52, P540, DOI 10.1007/s002390010184
Ludwig W, 1999, ASM NEWS, V65, P752
Lynch M, 2000, GENETICS, V154, P459
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
McKenna P, 2008, PLOS PATHOG, V4, DOI 10.1371/journal.ppat.0040020
Monier A, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-7-r106
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Roesch LF, 2007, ISME J, V1, P283, DOI 10.1038/ismej.2007.53
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Stamatakis A, 2005, BIOINFORMATICS, V21, P456, DOI 10.1093/bioinformatics/bti191
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Treusch AH, 2012, ISME J, V6, P481, DOI 10.1038/ismej.2011.117
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tujula NA, 2010, ISME J, V4, P301, DOI 10.1038/ismej.2009.107
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Webster NS, 2010, ENVIRON MICROBIOL, V12, P2070, DOI 10.1111/j.1462-2920.2009.02065.x
White JR, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-152
Wu DY, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002566
Wu M, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-10-r151
NR 58
TC 144
Z9 166
PD JUL
PY 2013
VL 7
IS 7
BP 1322
EP 1332
DI 10.1038/ismej.2013.32
UT WOS:000320852100008
DA 2025-07-30
ER
PT J
AU Delmont, TO
Kiefl, E
Kilinc, O
Esen, OC
Uysal, I
Rappé, MS
Giovannoni, S
Eren, AM
AF Delmont, Tom O.
Kiefl, Evan
Kilinc, Ozsel
Esen, Ozcan C.
Uysal, Ismail
Rappe, Michael S.
Giovannoni, Steven
Eren, A. Murat
TI Single-amino acid variants reveal evolutionary processes that shape the
biogeography of a global SAR11 subclade
SO ELIFE
DT Article
AB Members of the SAR11 order Pelagibacterales dominate the surface oceans. Their extensive diversity challenges emerging operational boundaries defined for microbial 'species ' and complicates efforts of population genetics to study their evolution. Here, we employed single-amino acid variants (SAAVs) to investigate ecological and evolutionary forces that maintain the genomic heterogeneity within ubiquitous SAR11 populations we accessed through metagenomic read recruitment using a single isolate genome. Integrating amino acid and protein biochemistry with metagenomics revealed that systematic purifying selection against deleterious variants governs non-synonymous variation among very closely related populations of SAR11. SAAVs partitioned metagenomes into two main groups matching large-scale oceanic current temperatures, and six finer proteotypes that connect distant oceanic regions. These findings suggest that environmentally-mediated selection plays a critical role in the journey of cosmopolitan surface ocean microbial populations, and the idea 'everything is everywhere but the environment selects' has credence even at the finest resolutions.
C1 [Delmont, Tom O.; Kiefl, Evan; Esen, Ozcan C.; Eren, A. Murat] Univ Chicago, Dept Med, Chicago, IL 60637 USA.
[Kiefl, Evan] Univ Chicago, Grad Program Biophys Sci, Chicago, IL USA.
[Kilinc, Ozsel; Uysal, Ismail] Univ S Florida, Dept Elect Engn, Tampa, FL USA.
[Rappe, Michael S.] Univ Hawaii Manoa, Kaneohe, HI USA.
[Giovannoni, Steven] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Eren, A. Murat] Marine Biol Lab, Woods Hole, MA 02543 USA.
RP Eren, AM (corresponding author), Univ Chicago, Dept Med, Chicago, IL 60637 USA.; Eren, AM (corresponding author), Marine Biol Lab, Woods Hole, MA 02543 USA.
EM meren@uchicago.edu
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Anantharaman K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13219
Anderson RE, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01228-6
Baas Becking L.G.M., 1934, GEOBIOLOGIE INLEIDIN
Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
BERNSTEIN FC, 1977, EUR J BIOCHEM, V80, P319, DOI 10.1111/j.1432-1033.1977.tb11885.x
BORDO D, 1991, J MOL BIOL, V217, P721, DOI 10.1016/0022-2836(91)90528-E
Brown CT, 2015, NATURE, V523, P208, DOI 10.1038/nature14486
Brucks Eric S., 2014, Metagenome recruitment of the global ocean survey dataset to four closely-related sar11 genomes
Bustamante CD, 2000, MOL BIOL EVOL, V17, P301, DOI 10.1093/oxfordjournals.molbev.a026310
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Caro-Quintero A, 2012, ENVIRON MICROBIOL, V14, P347, DOI 10.1111/j.1462-2920.2011.02668.x
Chen HL, 2005, NUCLEIC ACIDS RES, V33, P3193, DOI 10.1093/nar/gki633
Cohan FM, 2007, CURR BIOL, V17, pR373, DOI 10.1016/j.cub.2007.03.032
Cohan FM, 2019, CURR BIOL, V29, pR169, DOI 10.1016/j.cub.2019.01.033
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Costea PI, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0182392
Darwin C, 2009, ON THE ORIGIN OF SPECIES, P1, DOI 10.1017/CBO9780511694295.004
DeLano W.L., 2002, The PyMOL Molecular Graphics System
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Delmont TO, 2018, PEERJ, V6, DOI 10.7717/peerj.4320
Denef V.J., 2018, Population Genomics: Microorganisms, P49
Domingo E, 2012, MICROBIOL MOL BIOL R, V76, P159, DOI 10.1128/MMBR.05023-11
Truong DT, 2017, GENOME RES, V27, P626, DOI 10.1101/gr.216242.116
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Eren AM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066643
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Garcia SL, 2018, ISME J, V12, P742, DOI 10.1038/s41396-017-0001-0
Ginestet C, 2011, J ROY STAT SOC A, V174, P245, DOI 10.1111/j.1467-985X.2010.00676_9.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Good BH, 2017, NATURE, V551, P45, DOI 10.1038/nature24287
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hellweger FL, 2014, SCIENCE, V345, P1346, DOI 10.1126/science.1254421
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Jonsson BF, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11239
Käll L, 2007, NUCLEIC ACIDS RES, V35, pW429, DOI 10.1093/nar/gkm256
Källberg M, 2012, NAT PROTOC, V7, P1511, DOI 10.1038/nprot.2012.085
Käll L, 2004, J MOL BIOL, V338, P1027, DOI 10.1016/j.jmb.2004.03.016
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kilinc O., 2018, ARXIV180203063
Kilinc O, 2017, ARXIV
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Kopf A, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0066-5
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
Manrique JM, 2017, MOL PHYLOGENET EVOL, V107, P324, DOI 10.1016/j.ympev.2016.11.015
Meziti A, 2019, ISME J, V13, P767, DOI 10.1038/s41396-018-0307-6
Minoche AE, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-11-r112
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nayfach S, 2016, GENOME RES, V26, P1612, DOI 10.1101/gr.201863.115
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Ohta T, 1996, THEOR POPUL BIOL, V49, P128, DOI 10.1006/tpbi.1996.0007
Pritchard L, 2016, ANAL METHODS-UK, V8, P12, DOI [10.1039/c5ay02550h, 10.1039/C5AY02550H]
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rocha EPC, 2018, MOL BIOL EVOL, V35, P1338, DOI 10.1093/molbev/msy078
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloissnig S, 2013, NATURE, V493, P45, DOI 10.1038/nature11711
Scholz M, 2016, NAT METHODS, V13, P435, DOI [10.1038/NMETH.3802, 10.1038/nmeth.3802]
Schrider DR, 2011, CURR BIOL, V21, P1051, DOI 10.1016/j.cub.2011.05.013
Schrodinger LLC, 2015, PYMOL MOL GRAPHICS S
Shapiro B.J., 2018, Population Genomics: Microorganisms, P31, DOI DOI 10.1007/13836_2018_10
Shapiro BJ, 2015, CSH PERSPECT BIOL, V7, DOI 10.1101/cshperspect.a018143
Simmons SL, 2008, PLOS BIOL, V6, P1427, DOI 10.1371/journal.pbio.0060177
Smith NGC, 2003, MOL BIOL EVOL, V20, P47, DOI 10.1093/molbev/msg003
Sojo V, 2016, MOL BIOL EVOL, V33, P2874, DOI 10.1093/molbev/msw164
Spang A, 2015, NATURE, V521, P173, DOI 10.1038/nature14447
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Varghese NJ, 2015, NUCLEIC ACIDS RES, V43, P6761, DOI 10.1093/nar/gkv657
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Weir BS, 2012, PHILOS SCI, V79, P637, DOI 10.1086/667904
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Whittaker KA, 2017, P NATL ACAD SCI USA, V114, P2651, DOI 10.1073/pnas.1612346114
Worth CL, 2009, NAT REV MOL CELL BIO, V10, P709, DOI 10.1038/nrm2762
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zdobnov EM, 2001, BIOINFORMATICS, V17, P847, DOI 10.1093/bioinformatics/17.9.847
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 93
TC 74
Z9 83
PD SEP 3
PY 2019
VL 8
AR e46497
DI 10.7554/eLife.46497
UT WOS:000484182200001
DA 2025-07-30
ER
PT J
AU Rodríguez-Ezpeleta, N
Embley, TM
AF Rodriguez-Ezpeleta, Naiara
Embley, T. Martin
TI The SAR11 Group of Alpha-Proteobacteria Is Not Related to the Origin of
Mitochondria
SO PLOS ONE
DT Article
AB Although free living, members of the successful SAR11 group of marine alpha-proteobacteria contain a very small and A+T rich genome, two features that are typical of mitochondria and related obligate intracellular parasites such as the Rickettsiales. Previous phylogenetic analyses have suggested that Candidatus Pelagibacter ubique, the first cultured member of this group, is related to the Rickettsiales+mitochondria clade whereas others disagree with this conclusion. In order to determine the evolutionary position of the SAR11 group and its relationship to the origin of mitochondria, we have performed phylogenetic analyses on the concatenation of 24 proteins from 5 mitochondria and 71 proteobacteria. Our results support that SAR11 group is not the sistergroup of the Rickettsiales+mitochondria clade and confirm that the position of this group in the alpha-proteobacterial tree is strongly affected by tree reconstruction artefacts due to compositional bias. As a consequence, genome reduction and bias toward a high A+T content may have evolved independently in the SAR11 species, which points to a different direction in the quest for the closest relatives to mitochondria and Rickettsiales. In addition, our analyses raise doubts about the monophyly of the newly proposed Pelagibacteraceae family.
C1 [Rodriguez-Ezpeleta, Naiara; Embley, T. Martin] Newcastle Univ, Inst Cell & Mol Biosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
RP Rodríguez-Ezpeleta, N (corresponding author), Txatxarramendi Ugartea ZG, AZTI Tecnalia, Marine Res Unit, Sukarrieta, Bizkaia, Spain.
EM nrodriguez@azti.es
CR Andersson SGE, 1998, NATURE, V396, P133, DOI 10.1038/24094
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
Davidov Y, 2006, ENVIRON MICROBIOL, V8, P2179, DOI 10.1111/j.1462-2920.2006.01101.x
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Edgar RC, 2004, BMC BIOINFORMATICS, V5, P1, DOI 10.1186/1471-2105-5-113
Embley TM, 2006, PHILOS T R SOC B, V361, P1055, DOI 10.1098/rstb.2006.1844
Esser C, 2004, MOL BIOL EVOL, V21, P1643, DOI 10.1093/molbev/msh160
Fitzpatrick DA, 2006, MOL BIOL EVOL, V23, P74, DOI 10.1093/molbev/msj009
Foster PG, 2004, SYST BIOL, V53, P485, DOI 10.1080/10635150490445779
Foster PG, 1997, J MOL EVOL, V44, P282, DOI 10.1007/PL00006145
Georgiades K, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024857
Gillespie JJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002018
Gillespie JJ, 2010, INFECT IMMUN, V78, P1809, DOI 10.1128/IAI.01384-09
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gupta RS, 2007, BMC MICROBIOL, V7, DOI 10.1186/1471-2180-7-106
Hrdy I, 2004, NATURE, V432, P618, DOI 10.1038/nature03149
Jeffroy O, 2006, TRENDS GENET, V22, P225, DOI 10.1016/j.tig.2006.02.003
Lang BF, 1999, ANNU REV GENET, V33, P351, DOI 10.1146/annurev.genet.33.1.351
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lartillot N, 2006, BMC EVOL BI IN PRESS
Lartillot N, 2009, BIOINFORMATICS, V25, P2286, DOI 10.1093/bioinformatics/btp368
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
Moran NA, 2003, CURR OPIN MICROBIOL, V6, P512, DOI 10.1016/j.mib.2003.08.001
PHILIPPE H, 1993, NUCLEIC ACIDS RES, V21, P5264, DOI 10.1093/nar/21.22.5264
Phillips MJ, 2004, MOL BIOL EVOL, V21, P1455, DOI 10.1093/molbev/msh137
Poiata E, 2009, RNA, V15, P2046, DOI 10.1261/rna.1824209
Rodríguez-Ezpeleta N, 2007, SYST BIOL, V56, P389, DOI 10.1080/10635150701397643
Roure B, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-S1-S2
Stamatakis A, 2005, BIOINFORMATICS, V21, P456, DOI 10.1093/bioinformatics/bti191
Stechmann A, 2008, CURR BIOL, V18, P580, DOI 10.1016/j.cub.2008.03.037
Talavera G, 2007, SYST BIOL, V56, P564, DOI 10.1080/10635150701472164
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Viklund J, 2011, MOL BIOL EV IN PRESS
Vinogradov SN, 2006, BMC EVOL BIOL, V6, DOI 10.1186/1471-2148-6-31
Wang CX, 2007, J BACTERIOL, V189, P1954, DOI 10.1128/JB.01203-06
Wernersson R, 2003, NUCLEIC ACIDS RES, V31, P3537, DOI 10.1093/nar/gkg609
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
WOESE CR, 1991, SYST APPL MICROBIOL, V14, P364, DOI 10.1016/S0723-2020(11)80311-5
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
NR 42
TC 63
Z9 68
PD JAN 23
PY 2012
VL 7
IS 1
AR e30520
DI 10.1371/journal.pone.0030520
UT WOS:000301570600053
DA 2025-07-30
ER
PT J
AU Sowell, SM
Wilhelm, LJ
Norbeck, AD
Lipton, MS
Nicora, CD
Barofsky, DF
Carlson, CA
Smith, RD
Giovanonni, SJ
AF Sowell, Sarah M.
Wilhelm, Larry J.
Norbeck, Angela D.
Lipton, Mary S.
Nicora, Carrie D.
Barofsky, Douglas F.
Carlson, Craig A.
Smith, Richard D.
Giovanonni, Stephen J.
TI Transport functions dominate the SAR11 metaproteome at low-nutrient
extremes in the Sargasso Sea
SO ISME JOURNAL
DT Article
AB The northwestern Sargasso Sea undergoes annual cycles of productivity with increased production in spring corresponding to periods of upwelling, and oligotrophy in summer and autumn, when the water column becomes highly stratified. The biological productivity of this region is reduced during stratified periods as a result of low concentrations of phosphorus and nitrogen in the euphotic zone. To better understand the mechanisms of microbial survival in this oligotrophic environment, we used capillary liquid chromatography (LC)-tandem mass spectrometry to detect microbial proteins in surface samples collected in September 2005. A total of 2215 peptides that mapped to 236 SAR11 proteins, 1911 peptides that mapped to 402 Prochlorococcus proteins and 2407 peptides that mapped to 404 Synechococcus proteins were detected. Mass spectra from SAR11 periplasmic substrate-binding proteins accounted for a disproportionately large fraction of the peptides detected, consistent with observations that these extremely small cells devote a large proportion of their volume to periplasm. Abundances were highest for periplasmic substrate-binding proteins for phosphate, amino acids, phosphonate, sugars and spermidine. Proteins implicated in the prevention of oxidative damage and protein refolding were also abundant. Our findings support the view that competition for multiple nutrients in oligotrophic systems is extreme, but nutrient flux is sufficient to sustain microbial community activity.
C1 [Sowell, Sarah M.] Oregon State Univ, Mol & Cellular Biol Program, Corvallis, OR 97331 USA.
[Norbeck, Angela D.; Lipton, Mary S.; Nicora, Carrie D.; Smith, Richard D.] Pacific NW Natl Lab, Richland, WA 99352 USA.
[Barofsky, Douglas F.] Oregon State Univ, Dept Chem, Corvallis, OR 97331 USA.
[Carlson, Craig A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Wilhelm, Larry J.; Giovanonni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovanonni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Adkins JN, 2002, MOL CELL PROTEOMICS, V1, P947, DOI 10.1074/mcp.M200066-MCP200
Adkins JN, 2006, MOL CELL PROTEOMICS, V5, P1450, DOI 10.1074/mcp.M600139-MCP200
ANTIA NJ, 1991, PHYCOLOGIA, V30, P1, DOI 10.2216/i0031-8884-30-1-1.1
Button DK, 2000, LIMNOL OCEANOGR, V45, P499, DOI 10.4319/lo.2000.45.2.0499
BUTTON DK, 1993, ANTON LEEUW INT J G, V63, P225, DOI 10.1007/BF00871220
Callister SJ, 2006, J PROTEOME RES, V5, P1940, DOI 10.1021/pr060050o
Carlson CA, 1996, DEEP-SEA RES PT II, V43, P491, DOI 10.1016/0967-0645(95)00101-8
Collier JL, 1999, MICROBIOL-SGM, V145, P447, DOI 10.1099/13500872-145-2-447
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Dayhoff M.O., 1978, ATLAS PROTEIN SEQ ST, V5
Ding YHR, 2006, BBA-PROTEINS PROTEOM, V1764, P1198, DOI 10.1016/j.bbapap.2006.04.017
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Dyhrman ST, 2006, APPL ENVIRON MICROB, V72, P1452, DOI 10.1128/AEM.72.2.1452-1458.2006
Ehlers MM, 1999, WATER RES, V33, P1181, DOI 10.1016/S0043-1354(98)00312-1
Elias DA, 2008, ARCH MICROBIOL, V189, P313, DOI 10.1007/s00203-007-0321-y
ENG JK, 1994, J AM SOC MASS SPECTR, V5, P976, DOI 10.1016/1044-0305(94)80016-2
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Forward JA, 1997, J BACTERIOL, V179, P5482, DOI 10.1128/jb.179.17.5482-5493.1997
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Guler S, 1996, J BIOL CHEM, V271, P7501
Gygi SP, 1999, MOL CELL BIOL, V19, P1720, DOI 10.1128/mcb.19.3.1720
Heldal M, 2003, LIMNOL OCEANOGR, V48, P1732, DOI 10.4319/lo.2003.48.5.1732
Hirsch P., 1979, STRATEGIES MICROBIAL, P513
Hixson KK, 2006, J PROTEOME RES, V5, P3008, DOI 10.1021/pr060179y
Holtmann G, 2004, J BACTERIOL, V186, P1683, DOI 10.1128/JB.186.6.1683-1693.2004
Igarashi K, 1999, BIOCHEM J, V344, P633, DOI 10.1042/0264-6021:3440633
Kan Jinjun, 2005, Saline Syst, V1, P7, DOI 10.1186/1746-1448-1-7
Keller A, 2002, ANAL CHEM, V74, P5383, DOI 10.1021/ac025747h
Kolowith LC, 2001, LIMNOL OCEANOGR, V46, P309, DOI 10.4319/lo.2001.46.2.0309
Lacerda CMR, 2007, J PROTEOME RES, V6, P1145, DOI 10.1021/pr060477v
Lipschultz F, 2001, DEEP-SEA RES PT II, V48, P1897, DOI 10.1016/S0967-0645(00)00168-5
Lo I, 2007, NATURE, V446, P537, DOI 10.1038/nature05624
Lomas MW, 2004, LIMNOL OCEANOGR, V49, P2303, DOI 10.4319/lo.2004.49.6.2303
Ludwig W, 1998, ELECTROPHORESIS, V19, P554, DOI 10.1002/elps.1150190416
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
MCKAY RML, 1993, ARCH MICROBIOL, V159, P21, DOI 10.1007/BF00244259
Mills MM, 2008, LIMNOL OCEANOGR, V53, P824, DOI 10.4319/lo.2008.53.2.0824
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nicastro D., 2006, MAM, V12, P180, DOI DOI 10.1017/S1431927606067456
Poretsky RS, 2005, APPL ENVIRON MICROB, V71, P4121, DOI 10.1128/AEM.71.7.4121-4126.2005
Ram RJ, 2005, SCIENCE, V308, P1915, DOI 10.1126/science. 1109070
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rivkin RB, 1997, LIMNOL OCEANOGR, V42, P730, DOI 10.4319/lo.1997.42.4.0730
Scanlan DJ, 1997, APPL ENVIRON MICROB, V63, P2411, DOI 10.1128/AEM.63.6.2411-2420.1997
Schulze WX, 2005, OECOLOGIA, V142, P335, DOI 10.1007/s00442-004-1698-9
Sedwick PN, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002445
SIERACKI ME, 1995, DEEP-SEA RES PT I, V42, P1399, DOI 10.1016/0967-0637(95)00055-B
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Sumper M, 2005, FEBS LETT, V579, P3765, DOI 10.1016/j.febslet.2005.06.001
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wanner B.L., 1996, Escherichia coli and Salmonella: Cell. Mol. Biol., V41, P1357, DOI DOI 10.1007/978-3-642-75969-7_16
Washburn MP, 2001, NAT BIOTECHNOL, V19, P242, DOI 10.1038/85686
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wilmes P, 2004, ENVIRON MICROBIOL, V6, P911, DOI 10.1111/j.1462-2920.2004.00687.x
Woodger FJ, 2003, PLANT PHYSIOL, V133, P2069, DOI 10.1104/pp.103.029728
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 68
TC 249
Z9 270
PD JAN
PY 2009
VL 3
IS 1
BP 93
EP 105
DI 10.1038/ismej.2008.83
UT WOS:000262297400008
DA 2025-07-30
ER
PT J
AU Grant, SR
Church, MJ
Ferrón, S
Laws, EA
Rappé, MS
AF Grant, Scott R.
Church, Matthew J.
Ferron, Sara
Laws, Edward A.
Rappe, Michael S.
TI Elemental Composition, Phosphorous Uptake, and Characteristics of Growth
of a SAR11 Strain in Batch and Continuous Culture
SO MSYSTEMS
DT Article
AB In this study, a strain of SAR11 subgroup Illa (termed HIMB114) was grown in seawater-based batch and continuous culture in order to quantify cellular features and metabolism relevant to SAR11 ecology. We report some of the first direct measurements of cellular elemental quotas for nitrogen (N) and phosphorus (P) for SAR11, grown in batch culture: 1.4 +/- 0.9 fg N and 0.44 +/- 0.01 fg P, respectively, that were consistent with the small size of HIMB114 cells (average volume of 0.09 mu m(3)). However, the mean carbon (C) cellular quota of 50 +/- 47 fg C was anomalously high, but variable. The rates of phosphate (PO43-) uptake measured from both batch and continuous cultures were exceptionally slow: in chemostats growing at 0.3 day(-1), HIMB114 took up 1.1 +/- 0.3 amol P cell day(-1), suggesting that <30% of the cellular P requirement of HIMB114 was met by PO43- assimilation. The mean rate of leucine incorporation, a measure of bacterial production, during late-log-phase growth of batch HIMB114 cultures was 0.042 +/- 0.02 amol Leu cell(-1) h(-1). While only weakly correlated with changes in specific growth rates, the onset of stationary phase resulted in decreases in cell-specific leucine incorporation that were proportional to changes in growth rate. The rates of cellular production, respiratory oxygen consumption, and changes in total organic C concentrations constrained cellular growth efficiencies to 13% +/- 4%. Hence, despite a small genome and diminutively sized cells, SAR11 strain HIMB114 appears to grow at efficiencies similar to those of naturally occurring bacterioplankton communities.
IMPORTANCE While SAR11 bacteria contribute a significant fraction to the total picoplankton biomass in the ocean and likely are major players in organic C and nutrient cycling, the cellular characteristics and metabolic features of most lineages have either only been hypothesized from genomes or otherwise not measured in controlled laboratory experimentation. The dearth of data on even the most basic characteristics for what is arguably the most abundant heterotroph in seawater has limited the specific consideration of SAR11 in ocean ecosystem modeling efforts. In this study, we provide measures of cellular P, N, and C, aerobic respiration, and bacterial production for a SAR11 strain growing in natural seawater medium that can be used to directly relate these features of SAR11 to biogeochemical cycling in the oceans. Through the development of a chemostat system to measure nutrient uptake during steady-state growth, we have also documented inorganic P uptake rates that allude to the importance of organic phosphorous to meet cellular P demands, even in the presence of nonlimiting PO43- concentrations.
C1 [Grant, Scott R.; Ferron, Sara] Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Dept Oceanog, Honolulu, HI 96822 USA.
[Church, Matthew J.] Univ Montana, Flathead Lake Biol Stn, Polson, MT 59860 USA.
[Ferron, Sara] Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Sch Ocean & Earth Sci & Technol, Honolulu, HI 96822 USA.
[Laws, Edward A.] Louisiana State Univ, Coll Coast & Environm, Dept Environm Sci, Baton Rouge, LA 70803 USA.
[Rappe, Michael S.] Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI 96822 USA.
RP Rappé, MS (corresponding author), Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI 96822 USA.
EM rappe@hawaii.edu
CR Brandon M., 2006, THESIS
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cermak N, 2017, ISME J, V11, P825, DOI 10.1038/ismej.2016.161
Chin JP, 2018, ISME J, V12, P973, DOI 10.1038/s41396-017-0031-7
Church MJ, 2006, AQUAT MICROB ECOL, V45, P41, DOI 10.3354/ame045041
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
del Giorgio P.A., 2000, MICROBIAL ECOLOGY OC, P289, DOI DOI 10.1146/ANNUREV.ECOLSYS.29.1.503
del Giorgio PA, 2011, LIMNOL OCEANOGR, V56, P1, DOI 10.4319/lo.2011.56.1.0001
Dyhrman ST, 2007, OCEANOGRAPHY, V20, P110, DOI 10.5670/oceanog.2007.54
Fagerbakke KM, 1996, AQUAT MICROB ECOL, V10, P15, DOI 10.3354/ame010015
Ferrón S, 2016, LIMNOL OCEANOGR-METH, V14, P610, DOI 10.1002/lom3.10116
Garcia NS, 2016, ISME J, V10, P2715, DOI 10.1038/ismej.2016.50
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grant SR, 2013, LIMNOL OCEANOGR, V58, P314, DOI 10.4319/lo.2013.58.1.0314
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Gundersen K, 2002, LIMNOL OCEANOGR, V47, P1525, DOI 10.4319/lo.2002.47.5.1525
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Karl D.M., 2002, BIOGEOCHEMISTRY MARI, P249, DOI DOI 10.1016/B978-012323841-2/50008-7
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
Karl DM, 2014, ANNU REV MAR SCI, V6, P279, DOI 10.1146/annurev-marine-010213-135046
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
Kolowith LC, 2001, LIMNOL OCEANOGR, V46, P309, DOI 10.4319/lo.2001.46.2.0309
Luo HW, 2011, AQUAT MICROB ECOL, V62, P61, DOI 10.3354/ame01458
Makino W, 2003, FUNCT ECOL, V17, P121, DOI 10.1046/j.1365-2435.2003.00712.x
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Martiny AC, 2013, GLOBAL BIOGEOCHEM CY, V27, P723, DOI 10.1002/gbc.20061
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Parks D., 2018, bioRxiv, DOI [DOI 10.1101/256800, 10.1101/256800]
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Raven JA, 1998, FUNCT ECOL, V12, P503, DOI 10.1046/j.1365-2435.1998.00233.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
SOLORZANO L, 1980, LIMNOL OCEANOGR, V25, P754, DOI 10.4319/lo.1980.25.4.0754
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Villarreal-Chiu JF, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00019
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zimmerman AE, 2014, ENVIRON MICROBIOL, V16, P1398, DOI 10.1111/1462-2920.12329
NR 49
TC 8
Z9 10
PD JUL-AUG
PY 2019
VL 4
IS 4
AR e00218-18
DI 10.1128/mSystems.00218-18
UT WOS:000482629400016
DA 2025-07-30
ER
PT J
AU Morris, RM
Cain, KR
Hvorecny, KL
Kollman, JM
AF Morris, Robert M.
Cain, Kelsy R.
Hvorecny, Kelli L.
Kollman, Justin M.
TI Lysogenic host-virus interactions in SAR11 marine bacteria
SO NATURE MICROBIOLOGY
DT Article
AB Here, the authors report the discovery of prophages in cultured SAR11 and show that lysogenic SAR11 produce virions by prophage induction of up to 2.3% of infected cells under carbon-replete growth conditions and up to 30.6% of infected cells under carbon-deplete conditions.
Host-virus interactions structure microbial communities, drive biogeochemical cycles and enhance genetic diversity in nature(1,2). Hypotheses proposed to explain the range of interactions that mediate these processes often invoke lysogeny(3-6), a latent infection strategy used by temperate bacterial viruses to replicate in host cells until an induction event triggers the production and lytic release of free viruses. Most cultured bacteria harbour temperate viruses in their genomes (prophage)(7). The absence of prophages in cultures of the dominant lineages of marine bacteria has contributed to an ongoing debate over the ecological significance of lysogeny and other viral life strategies in nature(6,8-15). Here, we report the discovery of prophages in cultured SAR11, the ocean's most abundant clade of heterotrophic bacteria(16,17). We show the concurrent production of cells and viruses, with enhanced virus production under carbon-limiting growth conditions. Evidence that related prophages are broadly distributed in the oceans suggests that similar interactions have contributed to the evolutionary success of SAR11 in nutrient-limited systems.
C1 [Morris, Robert M.; Cain, Kelsy R.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
[Hvorecny, Kelli L.; Kollman, Justin M.] Univ Washington, Dept Biochem, Seattle, WA 98195 USA.
RP Morris, RM (corresponding author), Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
EM morrisrm@u.washington.edu
CR Alikhan NF, 2011, BMC GENOMICS, V12, DOI 10.1186/1471-2164-12-402
Beaulaurier J, 2020, GENOME RES, V30, P437, DOI 10.1101/gr.251686.119
Biller SJ, 2017, ISME J, V11, P394, DOI 10.1038/ismej.2016.134
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Bondy-Denomy J, 2016, ISME J, V10, P2854, DOI 10.1038/ismej.2016.79
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chen LX, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00410-19
Chin CS, 2013, NAT METHODS, V10, P563, DOI [10.1038/NMETH.2474, 10.1038/nmeth.2474]
Deschamps P, 2014, GENOME BIOL EVOL, V6, P1549, DOI 10.1093/gbe/evu127
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Fogg PCM, 2014, J MOL BIOL, V426, P2703, DOI 10.1016/j.jmb.2014.05.014
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Hay ID, 2019, EMBO REP, V20, DOI 10.15252/embr.201847427
Howard-Varona C, 2017, ISME J, V11, P1511, DOI 10.1038/ismej.2017.16
Jiang SC, 1998, MICROBIAL ECOL, V35, P235, DOI 10.1007/s002489900079
Jiang SC, 1996, MAR ECOL PROG SER, V142, P27, DOI 10.3354/meps142027
JIANG SC, 1994, MAR ECOL PROG SER, V104, P163, DOI 10.3354/meps104163
Kang HS., 2017, BIORXIV, P114819
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Knowles B, 2017, NATURE, V549, pE3, DOI 10.1038/nature23296
Koren S, 2017, GENOME RES, V27, P722, DOI 10.1101/gr.215087.116
Leitet C, 2006, J MAR BIOL ASSOC UK, V86, P567, DOI 10.1017/S0025315406013488
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Ofir G, 2017, CELL, V168, P13, DOI 10.1016/j.cell.2016.12.035
Owen SV, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00235
Parikka Kaarle J, 2017, Biol Rev Camb Philos Soc, V92, P1081, DOI 10.1111/brv.12271
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Ptashne M, 2011, NAT CHEM BIOL, V7, P484, DOI 10.1038/nchembio.611
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
STEWART FM, 1984, THEOR POPUL BIOL, V26, P93, DOI 10.1016/0040-5809(84)90026-1
Thingstad TF, 2016, NATURE, V531, P454, DOI 10.1038/nature17303
Toyofuku M, 2019, NAT REV MICROBIOL, V17, P13, DOI 10.1038/s41579-018-0112-2
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Weitz JS, 2019, VIRUS EVOL, V5, DOI 10.1093/ve/vez006
Weitz JS, 2017, NATURE, V549, pE1, DOI 10.1038/nature23295
Wigington CH, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2015.24, 10.1038/NMICROBIOL.2015.24]
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 46
TC 26
Z9 32
PD AUG
PY 2020
VL 5
IS 8
BP 1011
EP +
DI 10.1038/s41564-020-0725-x
EA MAY 2020
UT WOS:000534311100003
DA 2025-07-30
ER
PT J
AU Heinrich, F
Eiler, A
Bertilsson, S
AF Heinrich, Friederike
Eiler, Alexander
Bertilsson, Stefan
TI Seasonality and environmental control of freshwater SAR11 (LD12) in a
temperate lake (Lake Erken, Sweden)
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB THE SAR11 clade is ubiquitous and abundant in planktonic environments. In freshwater lakes, the clade is represented by tribe LD12 which is phylogenetically distinct from the marine SAR11. We studied the ecology of LD12 in a temperate dimictic lake (Lake Erken, Sweden), by analyzing its seasonal dynamics with quantitative PCR, CARD-FISH and 454 pyrosequencing of the 16S rRNA gene. Results showed that LD12 can be as numerous in freshwater bacterioplankton as their marine SAR11 siblings. They exhibited strong seasonality and made up from 1.8 to 40% of the total bacterial 16S rRNA pool (mean 14%) with pronounced peaks in summer and late fall. Except in spring, LD12 was the dominant Alphaproteobacteria, contributing on average 72% of the 16S rRNA within this class. The LD12 population was dominated by a single persistent ribotype, suggesting low local divergence, at least at the phylogenetic resolution accessed with rRNA genes. The relative abundance of LD12 was positively correlated to nutrient concentrations (phosphate, ammonia, nitrate, and silica) and water transparency whereas the relative abundance was lower during periods characterized by high phytoplankton biomass. Based on these observations we propose that LD12 are poor competitors during periods of high phytoplankton productivity and associated release of labile organic compounds, but thrive when availability of inorganic nutrients is high. Similar to the marine SAR11 sibling group, local LD12 populations appear to respond in contrasting ways to nutrient availability in different lakes, pointing to either ecological divergence within the tribe or variations in the interplay between environmental driver variables.
C1 [Bertilsson, Stefan] Uppsala Univ, Dept Ecol & Genet, S-75236 Uppsala, Sweden.
Uppsala Univ, Limnol Lab, S-75236 Uppsala, Sweden.
Uppsala Univ, Sci Life Lab, S-75236 Uppsala, Sweden.
RP Bertilsson, S (corresponding author), Uppsala Univ, Dept Ecol & Genet, S-75236 Uppsala, Sweden.
EM stebe@ebc.uu.se
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Ashelford KE, 2006, APPL ENVIRON MICROB, V72, P5734, DOI 10.1128/AEM.00556-06
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Beier S, 2010, THESIS UPPSALA U
Berg KA, 2009, ISME J, V3, P314, DOI 10.1038/ismej.2008.110
Campbell BJ, 2009, AQUAT MICROB ECOL, V57, P123, DOI 10.3354/ame01335
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
delGiorgio P, 1996, LIMNOL OCEANOGR, V41, P783, DOI 10.4319/lo.1996.41.4.0783
Eiler A, 2004, ENVIRON MICROBIOL, V6, P1228, DOI 10.1111/j.1462-2920.2004.00657.x
Eiler A, 2006, FRESHWATER BIOL, V51, P298, DOI 10.1111/j.1365-2427.2005.01493.x
Eiler A, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053516
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
HECKY RE, 1973, MAR BIOL, V19, P323, DOI 10.1007/BF00348902
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
Joint I, 2008, ISME J, V2, P455, DOI 10.1038/ismej.2008.30
Koch AL, 1996, ANNU REV MICROBIOL, V50, P317, DOI 10.1146/annurev.micro.50.1.317
Lane D.J., 1991, NUCL ACID TECHNIQUES
Lindström ES, 2002, MICROB ECOL, V44, P1, DOI 10.1007/s00248-002-0007-6
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Methé BA, 1999, HYDROBIOLOGIA, V401, P77, DOI 10.1023/A:1003782209607
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
PETTERSSON K, 1990, HYDROBIOLOGIA, V191, P9, DOI 10.1007/BF00026033
Pettersson K, 2003, HYDROBIOLOGIA, V506, P75, DOI 10.1023/B:HYDR.0000008582.61851.76
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Salcher MM, 2011, LIMNOL OCEANOGR, V56, P2027, DOI 10.4319/lo.2011.56.6.2027
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Simonato F, 2010, SYST APPL MICROBIOL, V33, P128, DOI 10.1016/j.syapm.2009.12.006
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Urbach E, 2001, LIMNOL OCEANOGR, V46, P557, DOI 10.4319/lo.2001.46.3.0557
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wold S, 2001, CHEMOMETR INTELL LAB, V58, P109, DOI 10.1016/S0169-7439(01)00155-1
Young KD, 2006, MICROBIOL MOL BIOL R, V70, P660, DOI 10.1128/MMBR.00001-06
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 63
TC 33
Z9 36
PY 2013
VL 70
IS 1
BP 33
EP 44
DI 10.3354/ame01637
UT WOS:000322999500003
DA 2025-07-30
ER
PT J
AU Becker, JW
Hogle, SL
Rosendo, K
Chisholm, SW
AF Becker, Jamie W.
Hogle, Shane L.
Rosendo, Kali
Chisholm, Sallie W.
TI Co-culture and biogeography of Prochlorococcus and SAR11
SO ISME JOURNAL
DT Article
AB Prochlorococcus and SAR11 are among the smallest and most abundant organisms on Earth. With a combined global population of about 2.7 x 10(28) cells, they numerically dominate bacterioplankton communities in oligotrophic ocean gyres and yet they have never been grown together in vitro. Here we describe co-cultures of Prochlorococcus and SAR11 isolates representing both high- and low-light adapted clades. We examined: (1) the influence of Prochlorococcus on the growth of SAR11 and vice-versa, (2) whether Prochlorococcus can meet specific nutrient requirements of SAR11, and (3) how co-culture dynamics vary when Prochlorococcus is grown with SAR11 compared with sympatric copiotrophic bacteria. SAR11 grew 15-70% faster in co-culture with Prochlorococcus, while the growth of the latter was unaffected. When Prochlorococcus populations entered stationary phase, this commensal relationship rapidly became amensal, as SAR11 abundances decreased dramatically. In parallel experiments with copiotrophic bacteria; however, the heterotrophic partner increased in abundance as Prochlorococcus densities leveled off. The presence of Prochlorococcus was able to meet SAR11's central requirement for organic carbon, but not reduced sulfur. Prochlorococcus strain MIT9313, but not MED4, could meet the unique glycine requirement of SAR11, which could be due to the production and release of glycine betaine by MIT9313, as supported by comparative genomic evidence. Our findings also suggest, but do not confirm, that Prochlorococcus MIT9313 may compete with SAR11 for the uptake of 3-dimethylsulfoniopropionate (DMSP). To give our results an ecological context, we assessed the relative contribution of Prochlorococcus and SAR11 genome equivalents to those of identifiable bacteria and archaea in over 800 marine metagenomes. At many locations, more than half of the identifiable genome equivalents in the euphotic zone belonged to Prochlorococcus and SAR11 - highlighting the biogeochemical potential of these two groups.
C1 [Becker, Jamie W.; Hogle, Shane L.; Rosendo, Kali; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA 02139 USA.
[Becker, Jamie W.] Haverford Coll, Dept Biol, Haverford, PA 19041 USA.
RP Becker, JW; Chisholm, SW (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.; Chisholm, SW (corresponding author), MIT, Dept Biol, Cambridge, MA 02139 USA.; Becker, JW (corresponding author), Haverford Coll, Dept Biol, Haverford, PA 19041 USA.
EM jbecker1@haverford.edu; chisholm@mit.edu
CR Aharonovich D, 2016, ISME J, V10, P2892, DOI 10.1038/ismej.2016.70
[Anonymous], 2013, THESIS
Barofsky A, 2009, LIMNOL OCEANOGR-METH, V7, P382, DOI 10.4319/lom.2009.7.382
Benitez-Nelson CR, 2007, SCIENCE, V316, P1017, DOI 10.1126/science.1136221
Bertilsson S, 2005, VIE MILIEU, V55, P225
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Biller SJ, 2016, ISME J, V10, P2831, DOI 10.1038/ismej.2016.82
Biller SJ, 2014, SCI DATA, V1, DOI 10.1038/sdata.2014.34
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Braakman R, 2017, P NATL ACAD SCI USA, V114, pE3091, DOI 10.1073/pnas.1619573114
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bushnell B, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185056
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHISHOLM SW, 1992, ARCH MICROBIOL, V157, P297, DOI 10.1007/BF00245165
Coe A, 2016, LIMNOL OCEANOGR, V61, P1375, DOI 10.1002/lno.10302
Coleman ML, 2007, TRENDS MICROBIOL, V15, P398, DOI 10.1016/j.tim.2007.07.001
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Cubillos-Ruiz A, 2017, P NATL ACAD SCI USA, V114, pE5424, DOI 10.1073/pnas.1700990114
Dickson Robert P., 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.113, DOI 10.1038/NMICROBIOL.2016.65]
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grant SR, 2018, BIORXIV, P1
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haroon MF, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.50
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karsenti E, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001177
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
Kempf B, 1998, ARCH MICROBIOL, V170, P319, DOI 10.1007/s002030050649
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kiene RP, 1998, AQUAT MICROB ECOL, V15, P39, DOI 10.3354/ame015039
Klähn S, 2010, ENVIRON MICROBIOL, V12, P83, DOI 10.1111/j.1462-2920.2009.02045.x
Klemetsen T, 2018, NUCLEIC ACIDS RES, V46, pD692, DOI 10.1093/nar/gkx1036
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Longnecker K, 2015, MAR CHEM, V168, P114, DOI 10.1016/j.marchem.2014.11.003
Luo HW, 2015, MOL BIOL EVOL, V32, P2738, DOI 10.1093/molbev/msv149
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Mende DR, 2017, NUCLEIC ACIDS RES, V45, pD529, DOI 10.1093/nar/gkw989
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Mukherjee S, 2017, NAT BIOTECHNOL, V35, P676, DOI 10.1038/nbt.3886
Nayfach S, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0611-7
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Parks DH, 2018, STANDARDIZED BACTERI, P1
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rocap G, 2000, THESIS
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sher D, 2011, ISME J, V5, P1125, DOI 10.1038/ISMEJ.2011.1
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
TULLY BJ, 2017, PEERJ, V5, DOI DOI 10.7717/PEERJ.3558
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
NR 78
TC 62
Z9 73
PD JUN
PY 2019
VL 13
IS 6
BP 1506
EP 1519
DI 10.1038/s41396-019-0365-4
UT WOS:000468529400010
DA 2025-07-30
ER
PT J
AU Green, RT
Todd, JD
Johnston, AWB
AF Green, Robert T.
Todd, Jonathan D.
Johnston, Andrew W. B.
TI Manganese uptake in marine bacteria; the novel MntX transporter is
widespread in Roseobacters, Vibrios, Alteromonadales and the SAR11 and
SAR116 clades
SO ISME JOURNAL
DT Article
AB We showed that two very different manganese transporters occur in various important genera of marine bacteria. The ABC transporter encoded by sitABCD of the model Roseobacter-clade bacterium Ruegeria pomeroyi DSS-3 is required for Mn2+ import and was repressed by the Mur (Manganese uptake regulator) transcriptional regulator in Mn-replete media. Most genome-sequenced Roseobacter strains contain SitABCD, which are in at least two sub-groups, judged by their amino-acid sequences. However, a few Roseobacters, for example, Roseovarius nubinhibens, lack sitABCD, but these contain another gene, mntX, which encodes a predicted inner membrane polypeptide and is preceded by cis-acting Mur-responsive MRS sequences. It was confirmed directly that mntX of Roseovarius nubinhibens encodes a manganese transporter that was required for growth in Mn-depleted media and that its expression was repressed by Mur in Mn-replete conditions. MntX homologues occur in the deduced proteomes of several bacterial species. Strikingly, all of these live in marine habitats, but are in distantly related taxonomic groups, in the gamma-and alpha-proteobacteria. Notably, MntX was prevalent in nearly all strains of Vibrionales, including the important pathogen, Vibrio cholerae. It also occurs in a strain of the hugely abundant Candidatus Pelagibacter (SAR11), and in another populous marine bacterium, Candidatus Puniceispirillum marinum (SAR116). Consistent with this, MntX was abundant in marine bacterial metagenomes, with one sub-type occurring in an as-yet unknown bacterial clade. The ISME Journal (2013) 7, 581-591; doi:10.1038/ismej.2012.140; published online 29 November 2012
C1 [Green, Robert T.; Todd, Jonathan D.; Johnston, Andrew W. B.] Univ E Anglia, Sch Biol Sci, Norwich NR4 7TJ, Norfolk, England.
[Green, Robert T.] Inst Food Res, Norwich, Norfolk, England.
RP Johnston, AWB (corresponding author), Univ E Anglia, Sch Biol Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
EM a.johnston@uea.ac.uk
CR Allaway D, 2001, ENVIRON MICROBIOL, V3, P397, DOI 10.1046/j.1462-2920.2001.00205.x
Bagos PG, 2004, BMC BIOINFORMATICS, V5, DOI 10.1186/1471-2105-5-29
Baumann P., 1981, PROKARYOTES, P1302
Boyer E, 2002, INFECT IMMUN, V70, P6032, DOI 10.1128/IAI.70.11.6032-6042.2002
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Chao TC, 2004, J BACTERIOL, V186, P3609, DOI 10.1128/JB.186.11.3609-3620.2004
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Davies BW, 2007, J BACTERIOL, V189, P2101, DOI 10.1128/JB.01377-06
Díaz-Mireles E, 2005, MICROBIOL-SGM, V151, P4071, DOI 10.1099/mic.0.28342-0
Díaz-Mireles E, 2004, MICROBIOL-SGM, V150, P1447, DOI 10.1099/mic.0.26961-0
FIGURSKI DH, 1979, P NATL ACAD SCI USA, V76, P1648, DOI 10.1073/pnas.76.4.1648
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
Gonzalez JM, 1997, INT J SYST BACTERIOL, V47, P773, DOI 10.1099/00207713-47-3-773
Hohle TH, 2011, P NATL ACAD SCI USA, V108, P15390, DOI 10.1073/pnas.1110137108
Johnston AWB, 2007, BIOMETALS, V20, P501, DOI 10.1007/s10534-007-9085-8
Juretic D, 2002, J CHEM INF COMP SCI, V42, P620, DOI 10.1021/ci010263s
KEEN NT, 1988, GENE, V70, P191, DOI 10.1016/0378-1119(88)90117-5
Kelm S, 2009, BIOINFORMATICS, V25, P1086, DOI 10.1093/bioinformatics/btp102
LANDING WM, 1987, GEOCHIM COSMOCHIM AC, V51, P29, DOI 10.1016/0016-7037(87)90004-4
Lee JW, 2007, BIOMETALS, V20, P485, DOI 10.1007/s10534-006-9070-7
Lenk S, 2012, ISME J, V6, P2178, DOI 10.1038/ismej.2012.66
Makui H, 2000, MOL MICROBIOL, V35, P1065, DOI 10.1046/j.1365-2958.2000.01774.x
Menscher EA, 2012, J BACTERIOL, V194, P561, DOI 10.1128/JB.05296-11
Mey AR, 2005, INFECT IMMUN, V73, P8167, DOI 10.1128/IAI.73.12.8167-8178.2005
Middag R, 2011, DEEP-SEA RES PT II, V58, P2661, DOI 10.1016/j.dsr2.2010.10.043
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Platero R, 2007, APPL ENVIRON MICROB, V73, P4832, DOI 10.1128/AEM.00686-07
Puigbò P, 2007, NUCLEIC ACIDS RES, V35, pW126, DOI 10.1093/nar/gkm219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodionov DA, 2006, PLOS COMPUT BIOL, V2, P1568, DOI 10.1371/journal.pcbi.0020163
ROSSEN L, 1985, EMBO J, V4, P3369, DOI 10.1002/j.1460-2075.1985.tb04092.x
Rudolph G, 2006, FEMS MICROBIOL REV, V30, P631, DOI 10.1111/j.1574-6976.2006.00030.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun SL, 2011, NUCLEIC ACIDS RES, V39, pD546, DOI 10.1093/nar/gkq1102
Sunda WG, 1994, LIMNOL OCEANOGR, V43, P1467
Tebo BM, 2005, TRENDS MICROBIOL, V13, P421, DOI 10.1016/j.tim.2005.07.009
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Veyrier FJ, 2011, PLOS PATHOG, V7, DOI 10.1371/journal.ppat.1002261
Wexler M, 2001, MOL MICROBIOL, V41, P801, DOI 10.1046/j.1365-2958.2001.02556.x
WIEGHARDT K, 1989, ANGEW CHEM INT EDIT, V28, P1153, DOI 10.1002/anie.198911531
WOOD WB, 1966, J MOL BIOL, V16, P118, DOI 10.1016/S0022-2836(66)80267-X
Yamamoto K, 2011, J BACTERIOL, V193, P1477, DOI 10.1128/JB.01230-10
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Yu NY, 2010, BIOINFORMATICS, V26, P1608, DOI 10.1093/bioinformatics/btq249
Zhou DG, 1999, INFECT IMMUN, V67, P1974
Ziegler C, 2010, MOL MICROBIOL, V78, P13, DOI 10.1111/j.1365-2958.2010.07332.x
NR 54
TC 26
Z9 31
PD MAR
PY 2013
VL 7
IS 3
BP 581
EP 591
DI 10.1038/ismej.2012.140
UT WOS:000316726400014
DA 2025-07-30
ER
PT J
AU Thompson, LR
Haroon, MF
Shibl, AA
Cahill, MJ
Ngugi, DK
Williams, GJ
Morton, JT
Knight, R
Goodwin, KD
Stingl, U
AF Thompson, Luke R.
Haroon, Mohamed F.
Shibl, Ahmed A.
Cahill, Matt J.
Ngugi, David K.
Williams, Gareth J.
Morton, James T.
Knight, Rob
Goodwin, Kelly D.
Stingl, Ulrich
TI Red Sea SAR11 and Prochlorococcus Single-Cell Genomes Reflect
Globally Distributed Pangenomes
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Evidence suggests many marine bacteria are cosmopolitan, with widespread but sparse strains poised to seed abundant populations under conducive growth conditions. However, studies supporting this "microbial seed bank" hypothesis have analyzed taxonomic marker genes rather than whole genomes/metagenomes, leaving open the possibility that disparate ocean regions harbor endemic gene content. The Red Sea is isolated geographically from the rest of the ocean and has a combination of high irradiance, high temperature, and high salinity that is unique among the oceans; we therefore asked whether it harbors endemic gene content. We sequenced and assembled single-cell genomes of 21 SAR11 (subclades Ia, Ib, Id, and II) and 5 Prochlorococcus (ecotype HLII) samples from the Red Sea and combined them with globally sourced reference genomes to cluster genes into ortholog groups (OGs). Ordination of OG composition could distinguish clades, including phylogenetically cryptic Prochlorococcus ecotypes LLII and LLIII. Compared with reference genomes, 1% of Prochlorococcus and 17% of SAR11 OGs were unique to the Red Sea genomes (RS-OGs). Most (83%) RS-OGs had no annotated function, but 65% of RS-OGs were expressed in diel Red Sea metatranscriptomes, suggesting they are functional. Searching Tara Oceans metagenomes, RS-OGs were as likely to be found as non-RS-OGs; nevertheless, Red Sea and other warm samples could be distinguished from cooler samples using the relative abundances of OGs. The results suggest that the prevalence of OGs in these surface ocean bacteria is largely cosmopolitan, with differences in population metagenomes manifested by differences in relative abundance rather than complete presence/absence of OGs.
IMPORTANCE Studies have shown that as we sequence seawater from a selected environment deeper and deeper, we approach finding every bacterial taxon known for the ocean as a whole. However, such studies have focused on taxonomic marker genes rather than on whole genomes, raising the possibility that the lack of endemism results from the method of investigation. We took a geographically isolated water body, the Red Sea, and sequenced single cells from it. We compared those single-cell genomes to available genomes from around the ocean and to ocean-spanning metagenomes. We showed that gene ortholog groups found in Red Sea genomes but not in other genomes are nevertheless common across global ocean metagenomes. These results suggest that Baas Beckings hypothesis "everything is everywhere, but the environment selects" also applies to gene ortholog groups. This widely dispersed functional diversity may give oceanic microbial communities the functional capacity to respond rapidly to changing conditions.
C1 [Thompson, Luke R.; Haroon, Mohamed F.; Shibl, Ahmed A.; Cahill, Matt J.; Ngugi, David K.; Stingl, Ulrich] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Thuwal, Saudi Arabia.
[Thompson, Luke R.] Univ Southern Mississippi, Dept Biol Sci, Hattiesburg, MS 39406 USA.
[Thompson, Luke R.] Univ Southern Mississippi, Northern Gulf Inst, Hattiesburg, MS 39406 USA.
[Thompson, Luke R.; Goodwin, Kelly D.] NOAA, Ocean Chem & Ecosyst Div, Atlantic Oceanog & Meteorol Lab, Southwest Fisheries Sci Ctr, La Jolla, CA 92037 USA.
[Williams, Gareth J.] Bangor Univ, Sch Ocean Sci, Anglesey, Wales.
[Morton, James T.; Knight, Rob] Univ Calif San Diego, Dept Pediat, La Jolla, CA 92093 USA.
[Morton, James T.; Knight, Rob] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA.
[Knight, Rob] Univ Calif San Diego, Ctr Microbiome Innovat, La Jolla, CA 92093 USA.
[Stingl, Ulrich] Univ Florida, Dept Microbiol & Cell Sci, Ft Lauderdale Res & Educ Ctr, UF Inst Food & Agr Sci, Davie, FL USA.
[Shibl, Ahmed A.] NYU, Marine Microbial Ecol Lab, Biol Program, Abu Dhabi, U Arab Emirates.
RP Thompson, LR; Stingl, U (corresponding author), King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Thuwal, Saudi Arabia.; Thompson, LR (corresponding author), Univ Southern Mississippi, Dept Biol Sci, Hattiesburg, MS 39406 USA.; Thompson, LR (corresponding author), Univ Southern Mississippi, Northern Gulf Inst, Hattiesburg, MS 39406 USA.
EM lukethompson@gmail.com; ulistingl@gmail.com
CR Assefa S, 2009, BIOINFORMATICS, V25, P1968, DOI 10.1093/bioinformatics/btp347
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Baas Becking L.G.M., 1934, GEOBIOLOGIE INLEIDIN
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Biller SJ, 2014, SCI DATA, V1, DOI 10.1038/sdata.2014.34
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bonfield JK, 1995, NUCLEIC ACIDS RES, V23, P4992, DOI 10.1093/nar/23.24.4992
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Coleman ML, 2007, TRENDS MICROBIOL, V15, P398, DOI 10.1016/j.tim.2007.07.001
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Contreras-Moreira B, 2013, APPL ENVIRON MICROB, V79, P7696, DOI 10.1128/AEM.02411-13
Delmont TO, 2018, PEERJ, V6, DOI 10.7717/peerj.4320
Edwards F.J., 1987, Key Environments, P45
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Gibbons Sean M, 2013, Proc Natl Acad Sci U S A, V110, P4651, DOI 10.1073/pnas.1217767110
Gonnella G, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.86, 10.1038/nmicrobiol.2016.86]
Good BH, 2017, NATURE, V551, P45, DOI 10.1038/nature24287
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haroon MF, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.50
Hickey DA, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-10-117
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Katoh K, 2005, NUCLEIC ACIDS RES, V33, P511, DOI 10.1093/nar/gki198
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
Lanfear R, 2012, MOL BIOL EVOL, V29, P1695, DOI 10.1093/molbev/mss020
Langmead B, 2009, GENOME BIOL, V10, DOI 10.1186/gb-2009-10-3-r25
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Luo HW, 2015, MOL BIOL EVOL, V32, P2738, DOI 10.1093/molbev/msv149
Markowitz VM, 2009, BIOINFORMATICS, V25, P2271, DOI 10.1093/bioinformatics/btp393
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Ngugi DK, 2012, MOL ECOL, V21, P388, DOI 10.1111/j.1365-294X.2011.05378.x
Nikolenko SI, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-S1-S7
Ochman H, 2000, NATURE, V405, P299, DOI 10.1038/35012500
Page KA, 2004, APPL ENVIRON MICROB, V70, P6542, DOI 10.1128/AEM.70.11.6542-6550.2004
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
Post AF, 2005, AQUAT ECOL SER, V3, P87
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodrigue S, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006864
Shibl AA, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy182
Shibl AA, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00104
Shibl AA, 2014, FEMS MICROBIOL LETT, V356, P118, DOI 10.1111/1574-6968.12490
Somero GN., 2016, BIOCH ADAPTATION RES
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
Stewart FJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0037118
Strous M, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00410
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Thompson LR, 2017, ISME J, V11, P138, DOI 10.1038/ismej.2016.99
Thompson LR, 2013, ECOL EVOL, V3, P1780, DOI 10.1002/ece3.593
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
NR 59
TC 10
Z9 12
PD JUL
PY 2019
VL 85
IS 13
AR e00369-19
DI 10.1128/AEM.00369-19
UT WOS:000473717900011
DA 2025-07-30
ER
PT J
AU Martinez-Hernandez, F
Fornas, O
Gomez, ML
Garcia-Heredia, I
Maestre-Carballa, L
López-Pérez, M
Haro-Moreno, JM
Rodriguez-Valera, F
Martinez-Garcia, M
AF Martinez-Hernandez, Francisco
Fornas, Oscar
Lluesma Gomez, Monica
Garcia-Heredia, Inmaculada
Maestre-Carballa, Lucia
Lopez-Perez, Mario
Haro-Moreno, Jose M.
Rodriguez-Valera, Francisco
Martinez-Garcia, Manuel
TI Single-cell genomics uncover Pelagibacter as the putative host of the
extremely abundant uncultured 37-F6 viral population in the ocean
SO ISME JOURNAL
DT Article
AB The identification of relevant virus host pairs that globally account for a large pool of carbon and nutrients in the ocean is paramount to build accurate ecological models. A previous work using single-virus genomics led to the discovery of the uncultured single-virus vSAG 37-F6, originally sorted from the Mediterranean Sea (Blanes Bay Microbial Observatory), that represents one of the most abundant dsDNA viral population in the marine surface virosphere. Here, from same sampling site, we report that a Pelagibacter single-cell contained a viral member of vSAG 37-F6 population, by means of PCR screening of sorted, genome-amplified single cells with vSAG 37-F6-specific primers and whole-genome sequencing. Furthermore, viruses from this population were also found in three other Pelagibacter single cells from the South Pacific and Atlantic oceans. These new uncultured pelagiphages were genetically different from the previously characterized pelagiphage isolates. Data showed that the uncultured vSAG 37-F6 population represents the Pelagibacter phages that inhabit the sunlit ocean better, and contains a vast unrecognized microdiversity.
C1 [Martinez-Hernandez, Francisco; Lluesma Gomez, Monica; Garcia-Heredia, Inmaculada; Maestre-Carballa, Lucia; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
[Fornas, Oscar] Pompeu Fabra Univ, Flow Cytometry Unit, Barcelona, Spain.
[Fornas, Oscar] Barcelona Inst Sci & Technol, Ctr Genom Regulat, Barcelona, Spain.
[Lopez-Perez, Mario; Haro-Moreno, Jose M.; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Evolutionary Genom Grp, Div Microbiol, Apartado 18, Alicante 03550, Spain.
RP Martinez-Garcia, M (corresponding author), Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
EM m.martinez@ua.es
CR Allen LZ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017722
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
Peña MJD, 2018, VIRUSES-BASEL, V10, DOI 10.3390/v10030113
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
Marine RL, 2017, ISME J, V11, P2479, DOI 10.1038/ismej.2017.102
Martinez-Garcia M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035314
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Roux S, 2017, PEERJ, V5, DOI 10.7717/peerj.3817
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2014, ELIFE, V3, DOI 10.7554/eLife.03125
Simmonds P, 2017, NAT REV MICROBIOL, V15, P161, DOI 10.1038/nrmicro.2016.177
Stepanauskas R, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00128-z
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Weinbauer MG., 2011, Microb. Carbon Pump Ocean, P54, DOI DOI 10.1126/SCIENCE.OPMS.SB0001
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 26
TC 31
Z9 36
PD JAN
PY 2019
VL 13
IS 1
BP 232
EP 236
DI 10.1038/s41396-018-0278-7
UT WOS:000453576600019
DA 2025-07-30
ER
PT J
AU Viklund, J
Martijn, J
Ettema, TJG
Andersson, SGE
AF Viklund, Johan
Martijn, Joran
Ettema, Thijs J. G.
Andersson, Siv G. E.
TI Comparative and Phylogenomic Evidence That the Alphaproteobacterium
HIMB59 Is Not a Member of the Oceanic SAR11 Clade
SO PLOS ONE
DT Article
AB SAR11 is a globally abundant group of Alphaproteobacteria in the oceans that is taxonomically not well defined. It has been suggested SAR11 should be classified into the novel order Pelagibacterales. Features such as conservation of gene content and synteny have been taken as evidence that also the divergent member HIMB59 should be included in the order. However, this proposition is controversial since phylogenetic analyses have questioned the monophyly of this grouping. Here, we performed phylogenetic analyses and reinvestigated the genomic similarity of SAR11 and HIMB59. Our phylogenetic analysis confirmed that HIMB59 is not a sister group to the other SAR11 strains. By placing the comparison in the context of the evolution of the Alphaproteobacteria, we found that none of the measures of genomic similarity supports a clustering of HIMB59 and SAR11 to the exclusion of other Alphaproteobacteria. First, pairwise sequence similarity measures for the SAR11 and HIMB59 genomes were within the range observed for unrelated pairs of Alphaproteobacteria. Second, pairwise comparisons of gene contents revealed a higher similarity of SAR11 to several other alphaproteobacterial genomes than to HIMB59. Third, the SAR11 genomes are not more similar in gene order to the HIMB59 genome than what they are to several other alphaproteobacterial genomes. Finally, in contrast to earlier reports, we observed no sequence similarity between the hypervariable region HVR2 in the SAR11 genomes and the region located at the corresponding position in the HIMB59 genome. Based on these observations, we conclude that the alphaproteobacterium HIMB59 is not monophyletic with the SAR11 strains and that genome streamlining has evolved multiple times independently in Alphaproteobacteria adapted to the upper surface waters of the oceans.
C1 [Viklund, Johan; Martijn, Joran; Ettema, Thijs J. G.; Andersson, Siv G. E.] Biomed Ctr, Dept Mol Evolut, Sci Life Lab, Uppsala, Sweden.
RP Andersson, SGE (corresponding author), Biomed Ctr, Dept Mol Evolut, Sci Life Lab, Uppsala, Sweden.
EM Siv.Andersson@icm.uu.se
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Carver TJ, 2005, BIOINFORMATICS, V21, P3422, DOI 10.1093/bioinformatics/bti553
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Darriba D, 2011, BIOINFORMATICS, V27, P1164, DOI 10.1093/bioinformatics/btr088
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Georgiades K, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024857
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hrdy I, 2004, NATURE, V432, P618, DOI 10.1038/nature03149
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Lartillot N, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-S1-S4
Lartillot N, 2009, BIOINFORMATICS, V25, P2286, DOI 10.1093/bioinformatics/btp368
Le SQ, 2008, MOL BIOL EVOL, V25, P1307, DOI 10.1093/molbev/msn067
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
ROBBERTSE B, 2011, PLOS CURR, V3, DOI DOI 10.1371/CURRENTS.RRN1213.PUBMED:21327165
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Stamatakis A, 2006, P 20 IEEE INT PAR DI, DOI DOI 10.1109/IPDPS.2006.1639535
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
Yelton AP, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002230
NR 27
TC 31
Z9 33
PD NOV 1
PY 2013
VL 8
IS 11
AR e78858
DI 10.1371/journal.pone.0078858
UT WOS:000326499300036
DA 2025-07-30
ER
PT J
AU Stingl, U
Tripp, HJ
Giovannoni, SJ
AF Stingl, Ulrich
Tripp, Harry James
Giovannoni, Stephen J.
TI Improvements of high-throughput culturing yielded novel SAR11 strains
and other abundant marine bacteria from the Oregon coast and the Bermuda
Atlantic Time Series study site
SO ISME JOURNAL
DT Article
AB The introduction of high-throughput dilution-to-extinction culturing (HTC) of marine bacterioplankton using sterilized natural sea water as media yielded isolates of many abundant but previously uncultured marine bacterial clades. In early experiments, bacteria from the SAR11 cluster (class Alphaproteobacteria), which are presumed to be the most abundant prokaryotes on earth, were cultured. Although many additional attempts were made, no further strains of the SAR11 clade were obtained. Here, we describe improvements to the HTC technique, which led to the isolation of 17 new SAR11 strains from the Oregon coast and the Sargasso Sea, accounting for 28% and 31% of all isolates in these experiments. Phylogenetic analysis of the internal transcribed spacer (ITS) region showed that the isolates from the Oregon coast represent three different subclusters of SAR11, while isolates from the Sargasso Sea were more uniform and represented a single ITS cluster. A PCR assay proved the presence of proteorhodopsin (PR) in nearly all SAR11 isolates. Analysis of PR amino-acid sequences indicated that isolates from the Oregon coast were tuned to either green or blue light, while PRs from strains obtained from the Sargasso Sea were exclusively tuned to maximum absorbance in the blue. Interestingly, phylogenies based on PR and ITS did not correlate, suggesting lateral gene transfer. In addition to the new SAR11 strains, many novel strains belonging to clusters of previously uncultured or undescribed species of different bacterial phyla, including the first strain of the highly abundant alphaproteobacterial SAR116 clade, were isolated using the modified methods.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Stingl, U (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM stinglu@science.oregonstate.edu
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
BUTTON DK, 1993, ANTON LEEUW INT J G, V63, P225, DOI 10.1007/BF00871220
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cho JC, 2004, ENVIRON MICROBIOL, V6, P611, DOI 10.1111/j.1462-2920.2004.00614.x
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Eiler A, 2006, APPL ENVIRON MICROB, V72, P7431, DOI 10.1128/AEM.01559-06
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S, 2005, ENVIRON MICROBIOL, V7, P476, DOI 10.1111/j.1462-2920.2005.803_5.x
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Konstantinidis KT, 2006, PHILOS T R SOC B, V361, P1929, DOI 10.1098/rstb.2006.1920
Ludwig W, 1998, ELECTROPHORESIS, V19, P554, DOI 10.1002/elps.1150190416
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Staley JT, 2006, PHILOS T R SOC B, V361, P1899, DOI 10.1098/rstb.2006.1914
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Thompson JR, 2004, APPL ENVIRON MICROB, V70, P4103, DOI 10.1128/AEM.70.7.4103-4110.2004
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
NR 46
TC 136
Z9 157
PD AUG
PY 2007
VL 1
IS 4
BP 361
EP 371
DI 10.1038/ismej.2007.49
UT WOS:000249216300011
DA 2025-07-30
ER
PT J
AU Ruiz-Perez, CA
Bertagnolli, AD
Tsementzi, D
Woyke, T
Stewart, FJ
Konstantinidis, KT
AF Ruiz-Perez, Carlos A.
Bertagnolli, Anthony D.
Tsementzi, Despina
Woyke, Tanja
Stewart, Frank J.
Konstantinidis, Konstantinos T.
TI Description of Candidatus Mesopelagibacter carboxydoxydans and
Candidatus Anoxipelagibacter denitrificans: Nitrate-reducing SAR11
genera that dominate mesopelagic and anoxic marine zones
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB The diverse and ubiquitous members of the SAR11 lineage (Alphaproteobacteria) represent up to 30-40% of the surface and mesopelagic oceanic microbial communities. However, the molecular and ecological mechanisms that differentiate closely related, yet distinct, SAR11 members that often co-occur under similar environmental conditions remain speculative. Recently, two mesopelagic and oxygen minimum zone (OMZ)-associated subclades of SAR11 (Ic and IIa.A) were described using single-cell amplified genomes (SAGs) linked to nitrate reduction in OMZs. In this current study, the collection of genomes belonging to these two subclades was expanded with thirteen new metagenome-assembled genomes (MAGs), thus providing a more detailed phylogenetic and functional characterization of these subclades. Gene content based predictions of metabolic functions revealed similarities in central carbon metabolism between subclades Ic and IIa.A and surface SAR11 clades, with small variations in central pathways. These variations included more versatile sulfur assimilation pathways, as well as a previously predicted capacity for nitrate reduction that conferred unique versatility on mesopelagic-adapted clades compared to their surface counterparts. Finally, consistent with previously reported abundances of carbon monoxide (CO) in surface and mesopelagic waters, subclades Ia (surface) and Ic (mesopelagic) have the genetic potential to oxidize carbon monoxide (CO), presumably taking advantage of this abundant compound as an electron donor. Based on genomic analyses, environmental distribution and metabolic reconstruction, we propose two new SAR11 genera, Ca. Mesopelagibacter carboxydoxydans (subclade Ic) and Ca. Anoxipelagibacter denitrificans (subclade IIa.A), which represent members of the mesopelagic and OMZ-adapted SAR11 clades. (c) 2021 Elsevier GmbH. All rights reserved.
C1 [Ruiz-Perez, Carlos A.; Bertagnolli, Anthony D.; Stewart, Frank J.; Konstantinidis, Konstantinos T.] Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USA.
[Tsementzi, Despina; Konstantinidis, Konstantinos T.] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA.
[Woyke, Tanja] DOE Joint Genome Inst, One Cyclotron Rd,Mail Stop 91R0183, Berkeley, CA 94720 USA.
[Stewart, Frank J.] Georgia Inst Technol, Ctr Microbial Dynam & Infect, Atlanta, GA 30332 USA.
[Stewart, Frank J.] Montana State Univ, Dept Microbiol & Immunol, Bozeman, MT 59717 USA.
[Konstantinidis, Konstantinos T.] Georgia Inst Technol, Ctr Bioinformat & Computat Genom, Atlanta, GA 30332 USA.
RP Konstantinidis, KT (corresponding author), Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA.
EM kostas@ce.gatech.edu
CR Alneberg J, 2014, NAT METHODS, V11, P1144, DOI [10.1038/NMETH.3103, 10.1038/nmeth.3103]
Apweiler R, 2004, NUCLEIC ACIDS RES, V32, pD115, DOI [10.1093/nar/gkh131, 10.1093/nar/gkw1099]
Arai W, 2018, BIOSCI BIOTECH BIOCH, V82, P1515, DOI 10.1080/09168451.2018.1476122
Aramaki T, 2020, BIOINFORMATICS, V36, P2251, DOI 10.1093/bioinformatics/btz859
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bertagnolli AD, 2017, ENVIRON MICROBIOL, V19, P4392, DOI 10.1111/1462-2920.13879
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Boeuf D, 2015, DATABASE-OXFORD, DOI 10.1093/database/bav080
Boratyn GM, 2019, BMC BIOINFORMATICS, V20, DOI 10.1186/s12859-019-2996-x
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buckel W, 2006, ANNU REV MICROBIOL, V60, P27, DOI 10.1146/annurev.micro.60.080805.142216
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Caro-Quintero A, 2012, ENVIRON MICROBIOL, V14, P347, DOI 10.1111/j.1462-2920.2011.02668.x
Carolan MT, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00334
Castro JC, 2018, PEERJ, V6, DOI 10.7717/peerj.5882
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Conte L, 2019, BIOGEOSCIENCES, V16, P881, DOI 10.5194/bg-16-881-2019
Darriba D, 2011, BIOINFORMATICS, V27, P1164, DOI 10.1093/bioinformatics/btr088
de Kok A, 1998, BBA-PROTEIN STRUCT M, V1385, P353, DOI 10.1016/S0167-4838(98)00079-X
Delmont T.O., 2017, 170639 BIORXIV
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Diender M, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01275
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Eichhorn E, 1997, J BIOL CHEM, V272, P23031, DOI 10.1074/jbc.272.37.23031
Eloe EA, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020388
Elser JJ, 2007, ECOL LETT, V10, P1135, DOI 10.1111/j.1461-0248.2007.01113.x
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Fuchs G, 2011, ANNU REV MICROBIOL, V65, P631, DOI 10.1146/annurev-micro-090110-102801
Furdui C, 2000, J BIOL CHEM, V275, P28494, DOI 10.1074/jbc.M003291200
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Garrison NL, 2016, PEERJ, V4, DOI 10.7717/peerj.1719
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glass JB, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00998
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Kang DWD, 2019, PEERJ, V7, DOI 10.7717/peerj.7359
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Katoh K, 2008, BRIEF BIOINFORM, V9, P286, DOI 10.1093/bib/bbn013
Kim M, 2014, INT J SYST EVOL MICR, V64, P346, DOI 10.1099/ijs.0.059774-0
King GM, 2007, NAT REV MICROBIOL, V5, P107, DOI 10.1038/nrmicro1595
King GM, 2006, FEMS MICROBIOL ECOL, V56, P1, DOI 10.1111/j.1574-6941.2006.00065.x
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Konstantinidis KT, 2017, ISME J, V11, P2399, DOI 10.1038/ismej.2017.113
Konstantinidis KT, 2015, SYST APPL MICROBIOL, V38, P223, DOI 10.1016/j.syapm.2015.01.001
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Larsen M, 2016, LIMNOL OCEANOGR-METH, V14, P784, DOI 10.1002/lom3.10126
Lee MD, 2019, BIOINFORMATICS, V35, P4162, DOI 10.1093/bioinformatics/btz188
Lo CC, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/s12859-014-0366-2
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
MEYER O, 1983, ANNU REV MICROBIOL, V37, P277, DOI 10.1146/annurev.mi.37.100183.001425
Meziti A, 2019, ISME J, V13, P767, DOI 10.1038/s41396-018-0307-6
Miller BG, 2005, BIOCHEMISTRY-US, V44, P10776, DOI 10.1021/bi0506268
Miller BG, 2004, BIOCHEMISTRY-US, V43, P6387, DOI 10.1021/bi049424m
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moriya Y, 2007, NUCLEIC ACIDS RES, V35, pW182, DOI 10.1093/nar/gkm321
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nawrocki EP, 2013, BIOINFORMATICS, V29, P2933, DOI 10.1093/bioinformatics/btt509
Nayfach S, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0611-7
Nei M., 2000, Molecular evolution and phylogenetics
Neumann S, 2000, MOL BIOL REP, V27, P27, DOI 10.1023/A:1007058421714
O'Leary NA, 2016, NUCLEIC ACIDS RES, V44, pD733, DOI 10.1093/nar/gkv1189
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
PATEL MS, 1990, FASEB J, V4, P3224, DOI 10.1096/fasebj.4.14.2227213
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quaiser A, 2011, ISME J, V5, P285, DOI 10.1038/ismej.2010.113
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodriguez R-LM, 2014, MICROBE, V9, P111
Rodriguez-R LM, 2018, NUCLEIC ACIDS RES, V46, pW282, DOI 10.1093/nar/gky467
Rothery RA, 2008, BBA-BIOMEMBRANES, V1778, P1897, DOI 10.1016/j.bbamem.2007.09.002
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Sieber CMK, 2018, NAT MICROBIOL, V3, P836, DOI 10.1038/s41564-018-0171-1
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
SWINNERT.JW, 1970, SCIENCE, V167, P984, DOI 10.1126/science.167.3920.984
Tettelin H, 2005, P NATL ACAD SCI USA, V102, P13950, DOI 10.1073/pnas.0506758102
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tsementzi D, 2019, SYST APPL MICROBIOL, V42, P495, DOI 10.1016/j.syapm.2019.03.007
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
van Dongen S, 2012, METHODS MOL BIOL, V804, P281, DOI 10.1007/978-1-61779-361-5_15
Vaser R, 2016, BIOINFORMATICS, V32, P680, DOI 10.1093/bioinformatics/btw445
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
von Borzyskowski LS, 2019, NATURE, V575, P500, DOI 10.1038/s41586-019-1748-4
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wu YW, 2016, BIOINFORMATICS, V32, P605, DOI 10.1093/bioinformatics/btv638
Yarza P, 2014, NAT REV MICROBIOL, V12, P635, DOI 10.1038/nrmicro3330
Yilmaz LS, 2011, APPL ENVIRON MICROB, V77, P1118, DOI 10.1128/AEM.01733-10
Yoch DC, 2002, APPL ENVIRON MICROB, V68, P5804, DOI 10.1128/AEM.68.12.5804-5815.2002
Zhang C, 2018, BMC BIOINFORMATICS, V19, DOI 10.1186/s12859-018-2129-y
Zhang X, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00577
Zhu QY, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13443-4
NR 124
TC 12
Z9 13
PD APR
PY 2021
VL 44
IS 2
AR 126185
DI 10.1016/j.syapm.2021.126185
EA MAR 2021
UT WOS:000740924400003
DA 2025-07-30
ER
PT J
AU Giovannoni, SJ
Halsey, KH
Saw, J
Muslin, O
Suffridge, CP
Sun, J
Lee, CP
Moore, ER
Temperton, B
Noell, SE
AF Giovannoni, Stephen J.
Halsey, Kimberly H.
Saw, Jimmy
Muslin, Omran
Suffridge, Christopher P.
Sun, Jing
Lee, Chih-Ping
Moore, Eric R.
Temperton, Ben
Noell, Stephen E.
TI A Parasitic Arsenic Cycle That Shuttles Energy from Phytoplankton to
Heterotrophic Bacterioplankton
SO MBIO
DT Article
AB In many regions of the world oceans, phytoplankton face the problem of discriminating between phosphate, an essential nutrient, and arsenate, a toxic analogue. Many phytoplankton, including the most abundant phytoplankton group known, Prochlorococcus, detoxify arsenate (AsV) by reduction to arsenite (AsIII), followed by methylation and excretion of the methylated arsenic products. We synthesized [C-14]dimethyl arsenate (DMA) and used it to show that cultured Pelagibacter strain HTCC7211 (SAR11) cells oxidize the methyl group carbons of DMA, producing (CO2)-C-14 and ATP. We measured [C-14] DMA oxidation rates in the P-depleted surface waters of the Sargasso Sea, a subtropical ocean gyre. [C-14]DMA was oxidized to (CO2)-C-14 by Sargasso Sea plankton communities at a rate that would cause turnover of the estimated DMA standing stock every 8.1 days. SAR11 strain HTCC7211, which was isolated from the Sargasso Sea, has a pair of arsenate resistance genes and was resistant to arsenate, showing no growth inhibition at As/P ratios of >65:1. Across the global oceans, there was a strong inverse relationship between the frequency of the arsenate reductase (LMWPc_ArsC) in Pelagibacter genomes and phosphate concentrations. We propose that the demethylation of methylated arsenic compounds by Pelagibacter and possibly other bacterioplankton, coupled with arsenate resistance, results in the transfer of energy from phytoplankton to bacteria. We dub this a parasitic cycle because the release of arsenate by Pelagibacter in principle creates a positive-feedback loop that forces phytoplankton to continually regenerate arsenate detoxification products, producing a flow of energy to P-limited ocean regions.
IMPORTANCE In vast, warm regions of the oceans, phytoplankton face the problem of arsenic poisoning. Arsenate is toxic because it is chemically similar to phosphate, a scarce nutrient that phytoplankton cells need for growth. Many phytoplankton, including the commonest phytoplankton type in warm oceans, Prochlorococcus, detoxify arsenate by adding methyl groups. Here we show that the most abundant non-photosynthetic plankton in the oceans, SAR11 bacteria, remove the methyl groups, releasing poisonous forms of arsenic back into the water. We postulate that the methylation and demethylation of arsenic compounds creates a cycle in which the phytoplankton can never get ahead and must continually transfer energy to the SAR11 bacteria. We dub this a parasitic process and suggest that it might help explain why SAR11 bacteria are so successful, surpassing all other plankton in their numbers. Field experiments were done in the Sargasso Sea, a subtropical ocean gyre that is sometimes called an ocean desert because, throughout much of the year, there is not enough phosphorous in the water to support large blooms of phytoplankton. Ocean deserts are expanding as the oceans absorb heat and grow warmer.
C1 [Giovannoni, Stephen J.; Halsey, Kimberly H.; Saw, Jimmy; Muslin, Omran; Suffridge, Christopher P.; Sun, Jing; Lee, Chih-Ping; Moore, Eric R.; Temperton, Ben; Noell, Stephen E.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Saw, Jimmy] George Washington Univ, Washington, DC USA.
[Sun, Jing] Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao, Shandong, Peoples R China.
[Temperton, Ben] Univ Exeter, Biosci, Exeter, Devon, England.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
CUTTER GA, 1991, DEEP-SEA RES, V38, pS825, DOI 10.1016/S0198-0149(10)80011-1
Cutter GA, 2001, DEEP-SEA RES PT II, V48, P2895, DOI 10.1016/S0967-0645(01)00023-6
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Elias M, 2012, NATURE, V491, P134, DOI 10.1038/nature11517
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Guy L, 2017, BIOINFORMATICS, V33, P1230, DOI 10.1093/bioinformatics/btw824
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Hellweger FL, 2004, ENVIRON SCI TECHNOL, V38, P6716, DOI 10.1021/es049660k
Hu CY, 2015, J BIOL CHEM, V290, P22262, DOI 10.1074/jbc.M115.659896
Huang JH, 2007, WATER AIR SOIL POLL, V182, P31, DOI 10.1007/s11270-006-9318-4
Jagadish B, 2003, J LABELLED COMPD RAD, V46, P373, DOI 10.1002/jlcr.667
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
Liu ZJ, 2010, ADV EXP MED BIOL, V679, P71
Measures CI, 2006, GEOCHEM GEOPHY GEOSY, V7, DOI 10.1029/2004GC000855
MILLAR IT, 1960, INORG SYN, V6, P113, DOI 10.1002/9780470132371.ch36
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Oremland RS, 2003, SCIENCE, V300, P939, DOI 10.1126/science.1081903
Qin J, 2006, P NATL ACAD SCI USA, V103, P2075, DOI 10.1073/pnas.0506836103
Rosen BP, 2010, ADV EXP MED BIOL, V679, P47
Saunders JK, 2016, ISME J, V10, P197, DOI 10.1038/ismej.2015.85
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Silver S, 2005, APPL ENVIRON MICROB, V71, P599, DOI 10.1128/AEM.71.2.599-608.2005
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stolz JE, 2006, ANNU REV MICROBIOL, V60, P107, DOI 10.1146/annurev.micro.60.080805.142053
Storey JD, 2003, P NATL ACAD SCI USA, V100, P9440, DOI 10.1073/pnas.1530509100
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Wood DE, 2014, GENOME BIOL, V15, DOI 10.1186/gb-2014-15-3-r46
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Wurl O, 2015, DEEP-SEA RES PT II, V116, P240, DOI 10.1016/j.dsr2.2014.11.008
Wurl O, 2013, LIMNOL OCEANOGR, V58, P729, DOI 10.4319/lo.2013.58.2.0729
Yan Y, 2015, ENVIRON SCI TECHNOL, V49, P14350, DOI 10.1021/acs.est.5b03357
Yoshinaga M, 2011, ENVIRON MICROBIOL, V13, P1205, DOI 10.1111/j.1462-2920.2010.02420.x
Zohary T, 1998, LIMNOL OCEANOGR, V43, P387, DOI 10.4319/lo.1998.43.3.0387
NR 47
TC 23
Z9 25
PD MAR-APR
PY 2019
VL 10
IS 2
AR e00246-19
DI 10.1128/mBio.00246-19
UT WOS:000465077600037
DA 2025-07-30
ER
PT J
AU West, NJ
Lepère, C
Manes, CLD
Catala, P
Scanlan, DJ
Lebaron, P
AF West, Nyree J.
Lepere, Cecile
Manes, Carmem-Lara de O.
Catala, Philippe
Scanlan, David J.
Lebaron, Philippe
TI Distinct Spatial Patterns of SAR11, SAR86, and Actinobacteria Diversity
along a Transect in the Ultra-oligotrophic South Pacific Ocean
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Distinct distribution patterns of members of the major bacterial clades SARI 1, SAR86, and Actinobacteria were observed across a transect from the Marquesas islands through the ultra-oligotrophic South Pacific Gyre into the Chilean upwelling using 16S rRNA gene sequencing and RNA-DNA fingerprinting. Three different Actinobacteria sequence clusters belonging to "Candidatus Actinomarinidae" were localized in the western half of the transect, one was limited to the gyre deep chlorophyll maximum (DCM) and sequences affiliated to the OCS155 Glade were unique to the upwelling. The structure of the surface bacterial community was highly correlated with water mass and remained similar across the whole central gyre (1300 nautical miles). The surface hyperoligotrophic gyre was dominated (>70% of all sequences) by highly diverse SAR11 and SAR86 operational taxonomic units and these communities were significantly different from those in the DCM. Analysis of 16S rRNA fingerprints generated from RNA allowed insights into the potential activity of assigned bacterial groups. SAR11 and Prochlorococcus showed the highest potential activity in all water masses except for the upwelling, accounting together for 65% of the total bacterial 16S rRNA in the gyre surface waters in equal proportions whereas the contribution of SAR11 decreased significantly at the DCM.
C1 [West, Nyree J.] Univ Paris 06, Sorbonne Univ, CNRS, Observ Oceanol Banyuls, Banyuls Sur Mer, France.
[Lepere, Cecile] Univ Blaise Pascal, Univ Clermont Auvergne, CNRS, Lab Microorganismes Genome & Environm, Aubiere, France.
[Manes, Carmem-Lara de O.; Lebaron, Philippe] Univ Paris 06, Sorbonne Univ, CNRS, Lab Biodivers & Blotechnol Microbiennes,Observ Oc, Banyuls Sur Mer, France.
[Catala, Philippe] Univ Paris 06, Sorbonne Univ, CNRS, Lab Oceanog Microbienne,Observ Oceanol, Banyuls Sur Mer, France.
[Scanlan, David J.] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
[Manes, Carmem-Lara de O.] Observ Oceanog, Microbia Environm, Banyuls Sur Mer, France.
RP West, NJ (corresponding author), Univ Paris 06, Sorbonne Univ, CNRS, Observ Oceanol Banyuls, Banyuls Sur Mer, France.
EM nyree.west@obs-banyuls.fr
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Altekar G, 2004, BIOINFORMATICS, V20, P407, DOI 10.1093/bioinformatics/btg427
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Ashelford KE, 2006, APPL ENVIRON MICROB, V72, P5734, DOI 10.1128/AEM.00556-06
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Claustre H, 2008, BIOGEOSCIENCES, V5, P679, DOI 10.5194/bg-5-679-2008
Delbès C, 1998, ANAEROBE, V4, P267, DOI 10.1006/anae.1998.0176
Delbès C, 2000, ENVIRON MICROBIOL, V2, P506, DOI 10.1046/j.1462-2920.2000.00132.x
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Grob C, 2007, BIOGEOSCIENCES, V4, P837, DOI 10.5194/bg-4-837-2007
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hamilton AK, 2008, LIMNOL OCEANOGR, V53, P922, DOI 10.4319/lo.2008.53.3.0922
Jensen PR, 2008, ANTON LEEUW INT J G, V94, P51, DOI 10.1007/s10482-008-9239-x
Karl DM, 1996, DEEP-SEA RES PT II, V43, P539, DOI 10.1016/0967-0645(96)00002-1
Lee DH, 1996, APPL ENVIRON MICROB, V62, P3112, DOI 10.1128/AEM.62.9.3112-3120.1996
Lepère C, 2009, ENVIRON MICROBIOL, V11, P3105, DOI 10.1111/j.1462-2920.2009.02015.x
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Manes CLD, 2011, BIOFOULING, V27, P47, DOI 10.1080/08927014.2010.536980
MANTEL N, 1967, CANCER RES, V27, P209
Morel A, 2007, LIMNOL OCEANOGR, V52, P217, DOI 10.4319/lo.2007.52.1.0217
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Nelson CE, 2014, ENVIRON MICROBIOL, V16, P871, DOI 10.1111/1462-2920.12241
Polovina JJ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL031745
R CoreTeam, 2015, R: ALanguageandEnvironmentforStatisticalComputing, V3. 2. 1
Raimbault P, 2008, BIOGEOSCIENCES, V5, P281, DOI 10.5194/bg-5-281-2008
Ras J, 2008, BIOGEOSCIENCES, V5, P353, DOI 10.5194/bg-5-353-2008
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shi XL, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018979
Shi XL, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007657
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Thompson JR, 2002, NUCLEIC ACIDS RES, V30, P2083, DOI 10.1093/nar/30.9.2083
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Wambeke F, 2008, BIOGEOSCIENCES, V5, P833
Van Wambeke F, 2008, BIOGEOSCIENCES, V5, P157, DOI 10.5194/bg-5-157-2008
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
Walsh EA, 2015, AQUAT MICROB ECOL, V75, P1, DOI 10.3354/ame01746
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
West NJ, 2011, ISME J, V5, P933, DOI 10.1038/ismej.2010.186
Yin Q, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055148
Zhang Y, 2011, RES MICROBIOL, V162, P320, DOI 10.1016/j.resmic.2010.12.006
NR 68
TC 41
Z9 47
PD MAR 8
PY 2016
VL 7
AR 234
DI 10.3389/fmicb.2016.00234
UT WOS:000371538500001
DA 2025-07-30
ER
PT J
AU Sperling, M
Giebel, HA
Rink, B
Grayek, S
Staneva, J
Stanev, E
Simon, M
AF Sperling, Martin
Giebel, Helge-Ansgar
Rink, Beate
Grayek, Sebastian
Staneva, Joanna
Stanev, Emil
Simon, Meinhard
TI Differential effects of hydrographic and biogeo chemical properties on
the SAR11 clade and Roseobacter RCA cluster in the North Sea
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB The SAR11 clade and the Roseobacter clade affiliated (RCA) cluster belong to the most prominent bacterioplankton groups in temperate to polar seas. Despite some insights into biological controls of both lineages, little is known about environmental, hydrographic and biogeochemical controls. Therefore, we assessed the abundance of both lineages using quantitative PCR in the southern North Sea, subjected them to a multiple linear regression analysis and related their occurrence to current patterns by backtracking the water masses found at individual stations for the preceding 24 to 27 d. SAR11 constituted <1 to 47% of total bacterial 16S rRNA genes. The abundance of this clade was inversely correlated to the salinity change of the water masses at the stations, indicating a preference for stable and presumably nutrient depleted waters. The RCA cluster constituted <1 to 5% of total bacterial 16S rRNA genes but did not exhibit any correlation to hydrographic properties. However, a multiple linear regression analysis showed that the RCA cluster was significantly correlated to a suite of biogeochemical parameters, bacterial abundance, concentrations of chlorophyll a, particulate organic carbon and suspended particulate matter and salinity changes, explaining 94.3% of the variability of the RCA data. These results show that backtracking water masses and relating them to bacterioplankton populations aids in the understanding of the growth dynamics of specific bacterioplankton populations and sheds new light on why high abundances of the SAR11 clade are usually found in stratified water masses.
C1 [Sperling, Martin; Giebel, Helge-Ansgar; Rink, Beate; Grayek, Sebastian; Stanev, Emil; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26111 Oldenburg, Germany.
[Staneva, Joanna; Stanev, Emil] Helmholtz Ctr Mat & Coastal Res, D-21502 Geesthacht, Germany.
RP Simon, M (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26111 Oldenburg, Germany.
EM m.simon@icbm.de
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Gutiérrez J, 2009, FEMS MICROBIOL ECOL, V70, P493, DOI 10.1111/j.1574-6941.2009.00766.x
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
[Anonymous], BIOL GEWASSERUNTERSU
[Anonymous], 2009, ETOPO1 arcminute global relief model: Procedures, data sources and analysis
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Baltar F, 2007, AQUAT MICROB ECOL, V50, P63, DOI 10.3354/ame01156
Baltar F, 2010, ISME J, V4, P975, DOI 10.1038/ismej.2010.33
BECKER GA, 1992, MAR ECOL PROG SER, V91, P9, DOI 10.3354/meps091009
Burchard H., 2002, GETM: A General Estuarine Transport Model; Scientific Documentation
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Dick SK, 2001, JAHRESBER BUNDESAMT, V29, P49
Egbert GD, 2002, J ATMOS OCEAN TECH, V19, P183, DOI 10.1175/1520-0426(2002)019<0183:EIMOBO>2.0.CO;2
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Hewson I, 2006, MAR ECOL PROG SER, V311, P67, DOI 10.3354/meps311067
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Lemke A, 2010, AQUAT MICROB ECOL, V61, P205, DOI 10.3354/ame01453
Nadkarni MA, 2002, MICROBIOL-SGM, V148, P257, DOI 10.1099/00221287-148-1-257
OTTO L, 1990, NETH J SEA RES, V26, P161, DOI 10.1016/0077-7579(90)90091-T
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rink B, 2007, AQUAT MICROB ECOL, V48, P47, DOI 10.3354/ame048047
Rink B, 2011, AQUAT MICROB ECOL, V63, P207, DOI 10.3354/ame01493
Sambrook J., 1989, MOL CLONING LAB MANU
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Staneva J, 2009, CONT SHELF RES, V29, P302, DOI 10.1016/j.csr.2008.01.006
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Wiltshire KH, 2008, LIMNOL OCEANOGR, V53, P1294, DOI 10.4319/lo.2008.53.4.1294
NR 41
TC 13
Z9 13
PY 2012
VL 67
IS 1
BP 25
EP 34
DI 10.3354/ame01580
UT WOS:000308651800003
DA 2025-07-30
ER
PT J
AU Wittmers, F
Needham, DM
Hehenberger, E
Giovannoni, SJ
Worden, AZ
AF Wittmers, Fabian
Needham, David M.
Hehenberger, Elisabeth
Giovannoni, Stephen J.
Worden, Alexandra Z.
TI Genomes from Uncultivated Pelagiphages Reveal Multiple Phylogenetic
Clades Exhibiting Extensive Auxiliary Metabolic Genes and Cross-Family
Multigene Transfers
SO MSYSTEMS
DT Article
AB For the abundant marine Alphaproteobacterium Pelagibacter (SARI 1), and other bacteria, phages are powerful forces of mortality. However, little is known about the most abundant Pelagiphages in nature, such as the widespread HTVC023P-type, which is currently represented by two cultured phages. Using viral metagenomic data sets and fluorescence-activated cell sorting, we recovered 80 complete, undescribed Podoviridae genomes that form 10 phylogenomically distinct clades (herein, named Clades I to X) related to the HTVC023P-type. These expanded the HTVC023P-type pangenome by 15-fold and revealed 41 previously unknown auxiliary metabolic genes (AMGs) in this viral lineage. Numerous instances of partner-AMGs (colocated and involved in related functions) were observed, including partners in nucleotide metabolism, DNA hypermodification, and Curli biogenesis. The Type VIII secretion system (T8SS) responsible for Curli biogenesis was identified in nine genomes and expanded the repertoire of T8SS proteins reported thus far in viruses. Additionally, the identified T8SS gene cluster contained an iron-dependent regulator (FecR), as well as a histidine kinase and adenylate cyclase that can be implicated in T8SS function but are not within T8SS operons in bacteria. While T8SS are lacking in known Pelagibacter, they contribute to aggregation and biofilm formation in other bacteria. Phylogenetic reconstructions of partner-AMGs indicate derivation from cellular lineages with a more recent transfer between viral families. For example, homologs of all T8SS genes are present in syntenic regions of distant Myoviridae Pelagiphages, and they appear to have alphaproteobacterial origins with a later transfer between viral families. The results point to an unprecedented multipartner-AMG transfer between marine Myoviridae and Podoviridae. Together with the expansion of known metabolic functions, our studies provide new prospects for understanding the ecology and evolution of marine phages and their hosts.
IMPORTANCE One of the most abundant and diverse marine bacterial groups is Pelagibacter. Phages have roles in shaping Pelagibacter ecology; however, several Pelagiphage lineages are represented by only a few genomes. This paucity of data from even the most widespread lineages has imposed limits on the understanding of the diversity of Pelagiphages and their impacts on hosts. Here, we report 80 complete genomes, assembled directly from environmental data, which are from undescribed Pelagiphages and render new insights into the manipulation of host metabolism during infection. Notably, the viruses have functionally related partner genes that appear to be transferred between distant viruses, including a suite that encode a secretion system which both brings a new functional capability to the host and is abundant in phages across the ocean. Together, these functions have important implications for phage evolution and for how Pelagiphage infection influences host biology in manners extending beyond canonical viral lysis and mortality.
C1 [Wittmers, Fabian; Needham, David M.; Hehenberger, Elisabeth; Worden, Alexandra Z.] GEOMAR Helmholtz Ctr Ocean Res Kiel, Ocean EcoSyst Biol Unit, RD3, Kiel, Germany.
[Wittmers, Fabian; Worden, Alexandra Z.] Univ Kiel, Kiel, Germany.
[Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Worden, Alexandra Z.] Marine Biol Lab, Woods Hole, MA 02543 USA.
[Worden, Alexandra Z.] Max Planck Inst Evolutionary Biol, Plon, Germany.
RP Needham, DM; Worden, AZ (corresponding author), GEOMAR Helmholtz Ctr Ocean Res Kiel, Ocean EcoSyst Biol Unit, RD3, Kiel, Germany.; Worden, AZ (corresponding author), Univ Kiel, Kiel, Germany.; Worden, AZ (corresponding author), Marine Biol Lab, Woods Hole, MA 02543 USA.; Worden, AZ (corresponding author), Max Planck Inst Evolutionary Biol, Plon, Germany.
EM dneedham@geomar.de; azworder@geomar.de
CR Botstein D, 1980, Ann N Y Acad Sci, V354, P484, DOI 10.1111/j.1749-6632.1980.tb27987.x
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Breitbart M, 2007, OCEANOGRAPHY, V20, P135, DOI 10.5670/oceanog.2007.58
Brombacher E, 2003, MICROBIOL-SGM, V149, P2847, DOI 10.1099/mic.0.26306-0
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Chénard C, 2008, APPL ENVIRON MICROB, V74, P5317, DOI 10.1128/AEM.02480-07
Coutinho FH, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00936-4
Crummett LT, 2016, VIROLOGY, V499, P219, DOI 10.1016/j.virol.2016.09.016
Dueholm MS, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0051274
Emms DM, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1832-y
Evans ML, 2014, BBA-MOL CELL RES, V1843, P1551, DOI 10.1016/j.bbamcr.2013.09.010
Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
Fischer MG, 2014, VIROLOGY, V466, P82, DOI 10.1016/j.virol.2014.05.029
Garrouste R, 2013, NATURE, V494, pE4, DOI 10.1038/nature11888
Giglione C, 2003, EMBO J, V22, P13, DOI 10.1093/emboj/cdg007
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Hufnagel DA, 2016, J BACTERIOL, V198, P3329, DOI 10.1128/JB.00652-16
Hunt M, 2015, BIOINFORMATICS, V31, P2374, DOI 10.1093/bioinformatics/btv120
Hurwitz BL, 2016, CURR OPIN MICROBIOL, V31, P161, DOI 10.1016/j.mib.2016.04.002
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ignacio-Espinoza JC, 2012, ENVIRON MICROBIOL, V14, P2113, DOI 10.1111/j.1462-2920.2012.02704.x
Ihaka R., 1996, Journal of Computational and Graphical Statistics, V5, P299, DOI DOI 10.1080/10618600.1996.10474713
Jia B, 2017, BBA-GEN SUBJECTS, V1861, P323, DOI 10.1016/j.bbagen.2016.12.001
Kalyaanamoorthy S, 2017, NAT METHODS, V14, P587, DOI [10.1038/nmeth.4285, 10.1038/NMETH.4285]
Katoh K, 2016, BIOINFORMATICS, V32, P1933, DOI 10.1093/bioinformatics/btw108
Kauffman KM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-021-27583-z
Kelso NV, 2010, GEOGR TECH, V5, P82
Kieft K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23698-5
Kupczok A, 2018, MOL BIOL EVOL, V35, P1147, DOI 10.1093/molbev/msy027
Lee YJ, 2018, P NATL ACAD SCI USA, V115, pE3116, DOI 10.1073/pnas.1714812115
Lindell D, 2005, NATURE, V438, P86, DOI 10.1038/nature04111
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Longhurst AlanR., 2007, EC GEOGR SEA 2 ED, VSecond
Low SJ, 2019, NAT MICROBIOL, V4, P1306, DOI 10.1038/s41564-019-0448-z
Mann NH, 2003, NATURE, V424, P741, DOI 10.1038/424741a
Martinez-Hernandez F, 2022, ISME J, V16, P1025, DOI 10.1038/s41396-021-01150-2
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Mavrich TN, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.112
Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
Monaghan EA, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00954-20
Nayfach S, 2021, NAT BIOTECHNOL, V39, P499, DOI 10.1038/s41587-020-0718-6
Needham DM, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2019.0086
Needham DM, 2019, P NATL ACAD SCI USA, V116, P20574, DOI 10.1073/pnas.1907517116
Nowinski B, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0132-4
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Pebesma E, 2018, R J, V10, P439
Pope WH, 2015, ELIFE, V4, DOI 10.7554/eLife.06416
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodriguez-R LM., 2016, PeerJ Preprints, V4, pe1900v1, DOI [DOI 10.7287/PEERJ.PREPRINTS.1900V1, 10.7287/peerj.preprints.1900v1]
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Schmidt HF, 2014, ISME J, V8, P103, DOI 10.1038/ismej.2013.124
Small S, 2009, BIOMETALS, V22, P89, DOI 10.1007/s10534-008-9192-1
Sullivan MB, 2006, PLOS BIOL, V4, P1344, DOI 10.1371/journal.pbio.0040234
Taylor JD, 2015, FRONT CELL INFECT MI, V5, DOI 10.3389/fcimb.2015.00033
Thompson LR, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00369-19
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vidakovic L, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0050-1
Vos M, 2009, ISME J, V3, P199, DOI 10.1038/ismej.2008.93
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Yan ZF, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-14145-7
Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 73
TC 11
Z9 12
PD OCT 26
PY 2022
VL 7
IS 5
DI 10.1128/msystems.01522-21
EA AUG 2022
UT WOS:000841790800002
DA 2025-07-30
ER
PT J
AU Morris, RM
Rappé, MS
Connon, SA
Vergin, KL
Siebold, WA
Carlson, CA
Giovannoni, SJ
AF Morris, RM
Rappé, MS
Connon, SA
Vergin, KL
Siebold, WA
Carlson, CA
Giovannoni, SJ
TI SAR11 clade dominates ocean surface bacterioplankton communities
SO NATURE
DT Article
AB The most abundant class of bacterial ribosomal RNA genes detected in seawater DNA by gene cloning belongs to SAR11-an alpha-proteobacterial clade(1). Other than indications of their prevalence in seawater, little is known about these organisms. Here we report quantitative measurements of the cellular abundance of the SAR11 clade in northwestern Sargasso Sea waters to 3,000 m and in Oregon coastal surface waters. On average, the SAR11 clade accounts for a third of the cells present in surface waters and nearly a fifth of the cells present in the mesopelagic zone. In some regions, members of the SAR11 clade represent as much as 50% of the total surface microbial community and 25% of the subeuphotic microbial community. By extrapolation, we estimate that globally there are 2.4 x 10(28) SAR11 cells in the oceans, half of which are located in the euphotic zone. Although the biogeochemical role of the SAR11 clade remains uncertain, these data support the conclusion that this microbial group is among the most successful organisms on Earth.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
CR AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
BUCK KR, 1996, AQUAT MICROB ECOL, V10, P238
Carlson CA, 1996, DEEP-SEA RES PT II, V43, P491, DOI 10.1016/0967-0645(95)00101-8
CHO BC, 1988, NATURE, V332, P441, DOI 10.1038/332441a0
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Frischer ME, 1996, CAN J MICROBIOL, V42, P1061, DOI 10.1139/m96-136
Fuchs BM, 1998, APPL ENVIRON MICROB, V64, P4973
Fuchs BM, 2000, APPL ENVIRON MICROB, V66, P3603, DOI 10.1128/AEM.66.8.3603-3607.2000
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
Fuhrman Jed. A., 1998, Aquatic Ecology, V32, P3, DOI 10.1023/A:1009974817127
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Glockner FO, 1996, SYST APPL MICROBIOL, V19, P403
HICKS RE, 1992, APPL ENVIRON MICROB, V58, P2158, DOI 10.1128/AEM.58.7.2158-2163.1992
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
LEE SH, 1993, MAR ECOL PROG SER, V101, P193, DOI 10.3354/meps101193
Ludwig W, 1998, ELECTROPHORESIS, V19, P554, DOI 10.1002/elps.1150190416
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P661, DOI 10.1128/AEM.68.2.661-667.2002
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schonhuber W, 1997, APPL ENVIRON MICROB, V63, P3268
SIERACKI ME, 1985, APPL ENVIRON MICROB, V49, P799, DOI 10.1128/AEM.49.4.799-810.1985
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Wintzingerode Friedrich V., 1997, FEMS Microbiology Reviews, V21, P213
NR 27
TC 872
Z9 993
PD DEC 26
PY 2002
VL 420
IS 6917
BP 806
EP 810
DI 10.1038/nature01240
UT WOS:000179897300054
DA 2025-07-30
ER
PT J
AU Molina-Pardines, C
Haro-Moreno, JM
Rodriguez-Valera, F
López-Pérez, M
AF Molina-Pardines, Carmen
Haro-Moreno, Jose M.
Rodriguez-Valera, Francisco
Lopez-Perez, Mario
TI Extensive paralogism in the environmental pangenome: a key factor in the
ecological success of natural SAR11 populations
SO MICROBIOME
DT Article
AB Background The oceanic microbiome is dominated by members of the SAR11 clade. Despite their abundance, challenges in recovering the full genetic diversity of natural populations have hindered our understanding of the eco-evolutionary mechanisms driving intra-species variation. In this study, we employed a combination of single-amplified genomes and long-read metagenomics to recover the genomic diversity of natural populations within the SAR11 genomospecies Ia.3/VII, the dominant group in the Mediterranean Sea.
Results The reconstruction of the first complete genome within this genomospecies revealed that the core genome represents a significant proportion of the genome (similar to 81%), with highly divergent areas that allow for greater strain-dependent metabolic flexibility. The flexible genome was concentrated in small regions, typically containing a single gene, and was located in equivalent regions within the genomospecies. Each variable region was associated with a specific set of genes that, despite exhibiting some divergence, maintained equivalent biological functionality within the population. The environmental pangenome is large and enriched in genes involved in nutrient transport, as well as cell wall synthesis and modification, showing an extremely high degree of functional redundancy in the flexible genome (i.e. paralogisms).
Conclusions This genomic architecture promotes polyclonality, preserving genetic variation within the population. This, in turn, mitigates intraspecific competition and enables the population to thrive under variable environmental conditions and selective pressures. Furthermore, this study demonstrates the power of long-read metagenomics in capturing the full genetic diversity of environmental SAR11 populations, overcoming the limitations of second-generation sequencing technologies in genome assembly.
C1 [Molina-Pardines, Carmen; Haro-Moreno, Jose M.; Rodriguez-Valera, Francisco; Lopez-Perez, Mario] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Apartado 18,San Juan, Alicante 03550, Spain.
RP López-Pérez, M (corresponding author), Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Apartado 18,San Juan, Alicante 03550, Spain.
EM mario.lopezp@umh.es
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Andrade SLA, 2005, P NATL ACAD SCI USA, V102, P14994, DOI 10.1073/pnas.0506254102
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Bizior A, 2023, MICROBIOL-SGM, V169, DOI 10.1099/mic.0.001360
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bratlie MS, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-588
Chang TY, 2024, MICROBIOME, V12, DOI 10.1186/s40168-024-01848-3
Chklovski A, 2023, NAT METHODS, V20, P1203, DOI 10.1038/s41592-023-01940-w
Clifton BE, 2023, bioRxiv, DOI [10.1101/2023.02.16.528805, DOI 10.1101/2023.02.16.528805V1, 10.1101/2023.02.16.528805v1]
Davies JS, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36590-1
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haro-Moreno JM, 2024, bioRxiv, DOI [10.1101/2024.03.20.585866, 10.1101/2024.03.20.585866v2, DOI 10.1101/2024.03.20.585866, DOI 10.1101/2024.03.20.585866V2]
Haro-Moreno JM, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.708782
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
Iranzo J, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13429-2
Javelle A, 2004, J BIOL CHEM, V279, P8530, DOI 10.1074/jbc.M312399200
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Juhas M, 2009, FEMS MICROBIOL REV, V33, P376, DOI 10.1111/j.1574-6976.2008.00136.x
Jumper J, 2021, NATURE, V596, P583, DOI 10.1038/s41586-021-03819-2
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
Kellom M, 2022, OPEN BIOL, V12, DOI 10.1098/rsob.220041
Kiefl E, 2023, SCI ADV, V9, DOI 10.1126/sciadv.abq4632
Köhler G, 2002, CURR TOP MICROBIOL, V264, P149
Kolmogorov M, 2020, NAT METHODS, V17, P1103, DOI 10.1038/s41592-020-00971-x
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Larkin AA, 2023, ISME J, V17, P185, DOI 10.1038/s41396-022-01332-6
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.01041-20
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Manzano-Morales S, 2023, GENOME BIOL, V24, DOI 10.1186/s13059-023-03089-3
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Molina-Pardines C, 2023, MSYSTEMS, V8, DOI 10.1128/msystems.00898-23
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mulligan C, 2011, FEMS MICROBIOL REV, V35, P68, DOI 10.1111/j.1574-6976.2010.00236.x
Mulligan C, 2009, P NATL ACAD SCI USA, V106, P1778, DOI 10.1073/pnas.0809979106
Nakagawa T, 2013, APPL ENVIRON MICROB, V79, P6911, DOI 10.1128/AEM.02028-13
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Papkou A, 2019, P NATL ACAD SCI USA, V116, P923, DOI 10.1073/pnas.1810402116
Paysan-Lafosse T, 2023, NUCLEIC ACIDS RES, V51, pD418, DOI 10.1093/nar/gkac993
Pflueger T, 2024, SCI ADV, V10, DOI 10.1126/sciadv.adm9441
Pflüger T, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02637-3
Pritchard L, 2016, ANAL METHODS-UK, V8, P12, DOI [10.1039/c5ay02550h, 10.1039/C5AY02550H]
Pushker R, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-4-r27
Rabus R, 1999, MICROBIOL-SGM, V145, P3431, DOI 10.1099/00221287-145-12-3431
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riedel T, 2014, ANAL CHEM, V86, P8376, DOI 10.1021/ac501946m
Roda-Garcia JJ, 2023, ENVIRON MICROBIOL, V25, P1136, DOI 10.1111/1462-2920.16348
Rodriguez-Valera F, 2016, CURR OPIN MICROBIOL, V31, P154, DOI 10.1016/j.mib.2016.03.014
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rosa LT, 2018, FRONT CELL INFECT MI, V8, DOI 10.3389/fcimb.2018.00033
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Smeulders MJ, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01959
Smith Daniel P, 2013, mBio, V4, pe00133, DOI 10.1128/mBio.00133-12
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Suárez-Moo P, 2024, ENVIRON MICROBIOL, V26, DOI 10.1111/1462-2920.16684
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Thompson LR, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00369-19
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tremblay PL, 2009, MOL MICROBIOL, V71, P12, DOI 10.1111/j.1365-2958.2008.06514.x
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
van Kempen M, 2024, NAT BIOTECHNOL, V42, DOI 10.1038/s41587-023-01773-0
Västermark Å, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-123
Vetting MW, 2015, BIOCHEMISTRY-US, V54, P909, DOI 10.1021/bi501388y
Virtanen P, 2020, NAT METHODS, V17, P261, DOI 10.1038/s41592-019-0686-2
Wacker T, 2014, P NATL ACAD SCI USA, V111, P9995, DOI 10.1073/pnas.1406409111
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williamson G, 2024, FEBS J, V291, P3786, DOI 10.1111/febs.17059
Winnen B, 2003, RES MICROBIOL, V154, P457, DOI 10.1016/S0923-2508(03)00126-8
NR 87
TC 1
Z9 1
PD FEB 4
PY 2025
VL 13
IS 1
AR 41
DI 10.1186/s40168-025-02037-6
UT WOS:001414687600004
DA 2025-07-30
ER
PT J
AU Vidanage, PW
Ko, SO
Oh, S
AF Vidanage, Poorna Weerarathna
Ko, Seok-Oh
Oh, Seungdae
TI Metagenomics Uncovers a Core SAR11 Population in Brackish Surface Waters
of the Baltic Sea
SO WATER
DT Article
AB The Baltic Sea represents one of the largest brackish ecosystems where various environmental factors control dynamic seasonal shifts in the structure, diversity, and function of the planktonic microbial communities. In this study, despite seasonal fluctuations, several bacterial populations (<2% of the total OTUs) that are highly dominant (25% of relative abundance) and highly frequently occurring (>85% of occurrence) over four seasons were identified. Mathematical models using occurrence frequency and relative abundance data were able to describe community assembly persisting over time. Further, this work uncovered one of the core bacterial populations phylogenetically affiliated to SAR11 subclade Ma. The analysis of the hypervariable region of 16S rRNA gene and single copy housekeeping genes recovered from metagenomic datasets suggested that the population was unexpectedly evolutionarily closely related to those inhabiting a mesosaline lacustrine ecosystem rather than other marine/coastal members. Our metagenomic results further revealed that the newly-identified population was the major driver facilitating the seasonal shifts in the overall community structure over the brackish waters of the Baltic Sea. The core community uncovered in this study supports the presence of a brackish water microbiome distinguishable from other marine and freshwater counterparts and will be a useful sentinel for monitoring local/global environmental changes posed on brackish surface waters.
C1 [Vidanage, Poorna Weerarathna; Oh, Seungdae] Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 639798, Singapore.
[Ko, Seok-Oh; Oh, Seungdae] Kyung Hee Univ, Dept Civil Engn, Yongin 1732, Gyeonggi Do, South Korea.
RP Oh, S (corresponding author), Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 639798, Singapore.; Ko, SO; Oh, S (corresponding author), Kyung Hee Univ, Dept Civil Engn, Yongin 1732, Gyeonggi Do, South Korea.
EM poorna001@e.ntu.edu.sg; soko@khu.ac.kr; soh@khu.ac.kr
CR Albertsen M, 2013, NAT BIOTECHNOL, V31, P533, DOI 10.1038/nbt.2579
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Cox MP, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-485
Mai DT, 2018, BIORESOURCE TECHNOL, V261, P240, DOI 10.1016/j.biortech.2018.04.009
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Ehrlén J, 2015, ECOL LETT, V18, P303, DOI 10.1111/ele.12410
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glaeser SP, 2015, SYST APPL MICROBIOL, V38, P237, DOI 10.1016/j.syapm.2015.03.007
HANSKI I, 1982, OIKOS, V38, P210, DOI 10.2307/3544021
He FL, 2002, ECOSCIENCE, V9, P119, DOI 10.1080/11956860.2002.11682698
Henson MW., 2018, ISME J, V11, P1
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Huse SM, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/1471-2105-15-41
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Ininbergs K, 2015, AMBIO, V44, pS439, DOI 10.1007/s13280-015-0663-7
Ju F, 2015, ISME J, V9, P683, DOI 10.1038/ismej.2014.162
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lindh MV, 2017, ENVIRON MICROBIOL, V19, P1222, DOI 10.1111/1462-2920.13650
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Mehrshad M, 2016, APPL ENVIRON MICROB, V82, P1599, DOI 10.1128/AEM.03381-15
Oh S, 2019, MICROB ECOL, V77, P631, DOI 10.1007/s00248-018-1263-4
Oh S, 2018, WATER RES, V128, P278, DOI 10.1016/j.watres.2017.10.054
Oh S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0184955
Oh S, 2016, ENV MICROBIOL REP, V8, P595, DOI 10.1111/1758-2229.12408
Oh S, 2016, MICROBES ENVIRON, V31, P173, DOI 10.1264/jsme2.ME16003
Oh SD, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01137-14
Oh S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047005
Patifio L.H., 2018, FRONT MICROBIOL, V9, P1
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Pinto AJ, 2014, MBIO, V5, DOI 10.1128/mBio.01135-14
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Sangwan N, 2016, MICROBIOME, V4, DOI 10.1186/s40168-016-0154-5
Shade A, 2012, ENVIRON MICROBIOL, V14, P4, DOI 10.1111/j.1462-2920.2011.02585.x
Shaw AK, 2008, ENVIRON MICROBIOL, V10, P2200, DOI 10.1111/j.1462-2920.2008.01626.x
Sweet MJ, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00009
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Wu YW, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-26
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhang R, 2013, FEMS MICROBIOL ECOL, V86, P277, DOI 10.1111/1574-6941.12160
NR 43
TC 7
Z9 7
PD FEB
PY 2020
VL 12
IS 2
AR 501
DI 10.3390/w12020501
UT WOS:000519846500192
DA 2025-07-30
ER
PT J
AU Tripp, HJ
Schwalbach, MS
Meyer, MM
Kitner, JB
Breaker, RR
Giovannoni, SJ
AF Tripp, H. James
Schwalbach, Michael S.
Meyer, Michelle M.
Kitner, Joshua B.
Breaker, Ronald R.
Giovannoni, Stephen J.
TI Unique glycine-activated riboswitch linked to glycine-serine auxotrophy
in SAR11
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The genome sequence of the marine bacterium 'Candidatus Pelagibacter ubique' and subsequent analyses have shown that while it has a genome as small as many obligate parasites, it nonetheless possesses a metabolic repertoire that allows it to grow as one of the most successful free-living cells in the ocean. An early report based on metabolic reconstruction indicated that SAR11 cells are prototrophs for all amino acids. However, here we report experimental evidence that 'Cand. P. ubique' is effectively auxotrophic for glycine and serine. With glucose and acetate added to seawater to supply organic carbon, the addition of 125 nM to 1.5 mu M glycine to growth medium containing all other nutrients in excess resulted in a linear increase in maximum cell density from 1.14 x 10(6) cells ml(-1) to 8.16 x 10(6) cells ml(-1) (R-2 = 0.992). Serine was capable of substituting for glycine at 1.5 mu M. 'Cand. P. ubique' contains a glycine-activated riboswitch preceding malate synthase, an unusual genomic context that is conserved in the SAR11 group. Malate synthase plays a critical role in central metabolism by enabling TCA intermediates to be regenerated through the glyoxylate cycle. In vitro analysis of this riboswitch indicated that it responds solely to glycine but not close structural analogues, such as glycine betaine, malate, glyoxylate, glycolate, alanine, serine or threonine. We conclude that 'Cand. P. ubique' is therefore a glycine-serine auxotroph that appears to use intracellular glycine level to regulate its use of carbon for biosynthesis and energy. Comparative genomics and metagenomics indicate that these conclusions may hold throughout much of the SAR11 clade.
C1 [Tripp, H. James; Schwalbach, Michael S.; Kitner, Joshua B.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97333 USA.
[Meyer, Michelle M.; Breaker, Ronald R.] Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA.
[Breaker, Ronald R.] Yale Univ, Howard Hughes Med Inst, New Haven, CT 06520 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97333 USA.
EM steve.giovannoni@oregonstate.edu
CR Abreu-Goodger C, 2005, NUCLEIC ACIDS RES, V33, pW690, DOI 10.1093/nar/gki445
Barrick JE, 2004, P NATL ACAD SCI USA, V101, P6421, DOI 10.1073/pnas.0308014101
Benner R., 2002, Biogeochemistry of Marine Dissolved Organic Matter, P5990, DOI DOI 10.1016/B978-012323841-2/50005-1
Caspi R, 2008, NUCLEIC ACIDS RES, V36, pD623, DOI [10.1093/nar/gkm900, 10.1093/nar/gkt1103]
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Davis H. C., 1958, Fishery Bulletin United States, V58, P293
FUHRMAN JA, 1986, MAR ECOL PROG SER, V33, P237, DOI 10.3354/meps033237
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hedges JI, 2002, MAR CHEM, V78, P47, DOI 10.1016/S0304-4203(02)00009-9
Kaiser K, 2005, LIMNOL OCEANOGR-METH, V3, P318, DOI 10.4319/lom.2005.3.318
Kanehisa M, 2004, NUCLEIC ACIDS RES, V32, pD277, DOI 10.1093/nar/gkh063
Kazanov MD, 2007, BMC GENOMICS, V8, DOI 10.1186/1471-2164-8-347
Keller MD, 2004, CAN J FISH AQUAT SCI, V61, P685, DOI 10.1139/F04-058
Kiene RP, 1998, LIMNOL OCEANOGR, V43, P1592, DOI 10.4319/lo.1998.43.7.1592
Kiene RP, 1998, APPL ENVIRON MICROB, V64, P1045
LEBOULANGER C, 1994, J PLANKTON RES, V16, P897, DOI 10.1093/plankt/16.7.897
Leboulanger C, 1998, J PHYCOL, V34, P651, DOI 10.1046/j.1529-8817.1998.340651.x
Leboulanger C, 1997, DEEP-SEA RES PT I, V44, P2131, DOI 10.1016/S0967-0637(97)00090-3
Liu JQ, 1998, EUR J BIOCHEM, V255, P220, DOI 10.1046/j.1432-1327.1998.2550220.x
Mandal M, 2004, NAT REV MOL CELL BIO, V5, P451, DOI 10.1038/nrm1403
Mandal M, 2004, SCIENCE, V306, P275, DOI 10.1126/science.1100829
Mathews Christopher., 2000, Biochemistry, V3rd
Meyer MM, 2008, RNA, V14, P685, DOI 10.1261/rna.937308
Monschau N, 1997, FEMS MICROBIOL LETT, V150, P55, DOI 10.1016/S0378-1097(97)00096-7
MOPPER K, 1982, LIMNOL OCEANOGR, V27, P336, DOI 10.4319/lo.1982.27.2.0336
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pellicer MT, 1999, J BIOL CHEM, V274, P1745, DOI 10.1074/jbc.274.3.1745
PIZER LI, 1964, J BACTERIOL, V88, P611, DOI 10.1128/JB.88.3.611-619.1964
POMEROY LR, 1990, MAR ECOL PROG SER, V61, P31, DOI 10.3354/meps061031
RAVNIKAR PD, 1987, J BACTERIOL, V169, P2611, DOI 10.1128/jb.169.6.2611-2617.1987
ROULIER MA, 1990, MAR CHEM, V30, P409, DOI 10.1016/0304-4203(90)90084-P
Soukup GA, 1999, RNA, V5, P1308, DOI 10.1017/S1355838299990891
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Wickiser JK, 2005, MOL CELL, V18, P49, DOI 10.1016/j.molcel.2005.02.032
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Zhao J, 2003, J BIOTECHNOL, V101, P101, DOI 10.1016/S0168-1656(02)00316-4
Zuker M, 2003, NUCLEIC ACIDS RES, V31, P3406, DOI 10.1093/nar/gkg595
NR 37
TC 80
Z9 89
PD JAN
PY 2009
VL 11
IS 1
BP 230
EP 238
DI 10.1111/j.1462-2920.2008.01758.x
UT WOS:000262150300020
DA 2025-07-30
ER
PT J
AU Saini, P
Wani, SI
Kumar, R
Chhabra, R
Chimni, SS
Sareen, D
AF Saini, Priya
Wani, Shadil Ibrahim
Kumar, Ranjai
Chhabra, Ravneet
Chimni, Swapandeep Singh
Sareen, Dipti
TI Trigger factor assisted folding of the recombinant epoxide hydrolases
identified from C. pelagibacter and S.
nassauensis
SO PROTEIN EXPRESSION AND PURIFICATION
DT Article
AB Epoxide hydrolases (EHs), are enantioselective enzymes as they catalyze the kinetic resolution of racemic epoxides into the corresponding enantiopure vicinal diols, which are useful precursors in the synthesis of chiral pharmaceutical compounds. Here, we have identified and cloned two putative epoxide hydrolase genes (cpeh and sneh) from marine bacteria, Candidatus pelagibacter ubique and terrestrial bacteria, Stackebrandtia nassauensis, respectively and overexpressed them in pET28a vector in Escherichia coli BL21(DE3). The CPEH protein (42 kDa) was found to be overexpressed as inactive inclusion bodies while SNEH protein (40 kDa) was found to form soluble aggregates. In this study, the recombinant CPEH was successfully transformed from insoluble aggregates to the soluble and functionally active form, using pCold TF vector, though with low EH activity. To prevent the soluble aggregate formation of SNEH, it was co-expressed with GroEL/ES chaperone and was also fused with trigger factor (TF) chaperone at its N-terminus. The TF chaperone-assisted correct folding of SNEH led to a purified active EH with a specific activity of 3.85 mu mol/min/mg. The pure enzyme was further used to biocatalyze the hydrolysis of 10 mM benzyl glycidyl ether (BGE) and alpha-methyl styrene oxide (MSO) with an enantiomeric excess of the product (ee(p)) of 86% and 73% in 30 and 15 min, respectively. In conclusion, this is the first report about the heterologous expression of epoxide hydrolases using TF as a molecular chaperone in pCold TF expression vector, resulting in remarkable increase in the solubility and activity of the otherwise improperly folded recombinant epoxide hydrolases. (C) 2014 Elsevier Inc. All rights reserved.
C1 [Saini, Priya; Wani, Shadil Ibrahim; Kumar, Ranjai; Chhabra, Ravneet; Sareen, Dipti] Panjab Univ, Dept Biochem, Chandigarh 160014, India.
[Chimni, Swapandeep Singh] Guru Nanak Dev Univ, Dept Chem, Amritsar 143005, Punjab, India.
RP Sareen, D (corresponding author), Panjab Univ, Dept Biochem, Sect 14, Chandigarh 160014, India.
EM 27priyasaini@gmail.com; shandil.wani@gmail.com; ranjai.pu@gmail.com;
chhabra.ravneet9@gmail.com; sschimni@yahoo.com; diptsare@pu.ac.in
CR Agashe VR, 2004, CELL, V117, P199, DOI 10.1016/S0092-8674(04)00299-5
[Anonymous], 2001, Molecular cloning, a laboratory manual, DOI DOI 10.1101/PDB.PROT4022
ARAND M, 1994, FEBS LETT, V338, P251, DOI 10.1016/0014-5793(94)80278-5
Archelas A, 2001, CURR OPIN CHEM BIOL, V5, P112, DOI 10.1016/S1367-5931(00)00179-4
Bala N, 2012, J BASIC MICROB, V52, P383, DOI 10.1002/jobm.201100204
Baneyx Francois, 2003, Methods Mol Biol, V205, P171
Botess AL, 2006, Patent No. [WO/2006/109198A2, 2006109198, WO2006109198]
BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
Bukau B, 2000, CELL, V101, P119, DOI 10.1016/S0092-8674(00)80806-5
Choi WJ, 2005, BIOTECHNOL BIOPROC E, V10, P167, DOI 10.1007/BF02932009
Cleij M, 1999, J ORG CHEM, V64, P5029, DOI 10.1021/jo982101+
Clouthier CM, 2012, CHEM SOC REV, V41, P1585, DOI 10.1039/c2cs15286j
de Marco A, 2004, J BIOTECHNOL, V109, P45, DOI 10.1016/j.jbiotec.2003.10.025
de Marco A, 2007, NAT PROTOC, V2, P2632, DOI 10.1038/nprot.2007.400
de Marco A, 2007, BMC BIOTECHNOL, V7, DOI 10.1186/1472-6750-7-32
Donnell C.W.O., 2006, 788 MIT
Ferbitz L, 2004, NATURE, V431, P590, DOI 10.1038/nature02899
Fretland AJ, 2000, CHEM-BIOL INTERACT, V129, P41, DOI 10.1016/S0009-2797(00)00197-6
García-Fruitós E, 2005, MICROB CELL FACT, V4, DOI 10.1186/1475-2859-4-27
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gräslund S, 2008, NAT METHODS, V5, P135, DOI 10.1038/nmeth.f.202
Hartl FU, 2002, SCIENCE, V295, P1852, DOI 10.1126/science.1068408
Hesterkamp T, 1996, P NATL ACAD SCI USA, V93, P4437, DOI 10.1073/pnas.93.9.4437
Hoffmann A, 2006, J BIOL CHEM, V281, P6539, DOI 10.1074/jbc.M512345200
Jacquez P, 2014, PROTEIN EXPRES PURIF, V95, P149, DOI 10.1016/j.pep.2013.12.010
Jiang WN, 1997, J BIOL CHEM, V272, P196
Jiao WW, 2005, J MOL BIOL, V347, P871, DOI 10.1016/j.jmb.2005.01.029
Joseph RE, 2008, PROTEIN EXPRES PURIF, V60, P194, DOI 10.1016/j.pep.2008.04.001
Kramer G, 2002, NATURE, V419, P171, DOI 10.1038/nature01047
Kuczynska-Wisnik D, 2004, ACTA BIOCHIM POL, V51, P925
Kumar R, 2011, PROTEIN EXPRES PURIF, V79, P49, DOI 10.1016/j.pep.2011.04.007
LAEMMLI UK, 1970, NATURE, V227, P680, DOI 10.1038/227680a0
LANGER T, 1992, EMBO J, V11, P4757, DOI 10.1002/j.1460-2075.1992.tb05581.x
LILL R, 1988, CELL, V54, P1013, DOI 10.1016/0092-8674(88)90116-X
Liu DB, 2011, J VIROL METHODS, V172, P16, DOI 10.1016/j.jviromet.2010.12.007
Mitta M, 1997, MOL MICROBIOL, V26, P321, DOI 10.1046/j.1365-2958.1997.5771943.x
Mogk A, 2003, MOL MICROBIOL, V50, P585, DOI 10.1046/j.1365-2958.2003.03710.x
Morisseau C, 2005, ANNU REV PHARMACOL, V45, P311, DOI 10.1146/annurev.pharmtox.45.120403.095920
Munk C, 2009, STAND GENOMIC SCI, V1, P292, DOI 10.4056/sigs.47643
OLLIS DL, 1992, PROTEIN ENG, V5, P197, DOI 10.1093/protein/5.3.197
Phadtare S, 2004, J BACTERIOL, V186, P7007, DOI 10.1128/JB.186.20.7007-7014.2004
Phadtare S, 2002, J BIOL CHEM, V277, P7239, DOI 10.1074/jbc.M111496200
Rink R, 1997, J BIOL CHEM, V272, P14650, DOI 10.1074/jbc.272.23.14650
Sareen D, 2011, INDIAN J BIOTECHNOL, V10, P161
Schlapschy M, 2006, PROTEIN ENG DES SEL, V19, P385, DOI 10.1093/protein/gzl018
Singh M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091352
Sorensen HP, 2005, MICROB CELL FACT, V4, DOI 10.1186/1475-2859-4-1
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
Thain A, 1996, TRENDS GENET, V12, P209, DOI 10.1016/S0168-9525(96)90022-0
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
VALENT QA, 1995, EMBO J, V14, P5494, DOI 10.1002/j.1460-2075.1995.tb00236.x
van Loo B, 2006, APPL ENVIRON MICROB, V72, P2905, DOI 10.1128/AEM.72.4.2905-2917.2006
Vorderwülbecke S, 2004, FEBS LETT, V559, P181, DOI 10.1016/S0014-5793(04)00052-3
Wang YR, 2009, MICROB CELL FACT, V8, DOI 10.1186/1475-2859-8-30
Widersten M, 2010, BBA-GEN SUBJECTS, V1800, P316, DOI 10.1016/j.bbagen.2009.11.014
Woo JH, 2007, APPL MICROBIOL BIOT, V76, P365, DOI 10.1007/s00253-007-1011-z
Xu F, 2014, PROCESS BIOCHEM, V49, P409, DOI 10.1016/j.procbio.2014.01.003
Xu YL, 2005, APPL ENVIRON MICROB, V71, P6247, DOI 10.1128/AEM.71.10.6247-6253.2005
Ying BW, 2005, J BIOL CHEM, V280, P12035, DOI 10.1074/jbc.M500364200
Zocher F, 1999, ANAL CHIM ACTA, V391, P345, DOI 10.1016/S0003-2670(99)00216-0
NR 60
TC 19
Z9 20
PD DEC
PY 2014
VL 104
BP 71
EP 84
DI 10.1016/j.pep.2014.09.004
UT WOS:000345255200011
DA 2025-07-30
ER
PT J
AU Gómez-Pereira, PR
Hartmann, M
Grob, C
Tarran, GA
Martin, AP
Fuchs, BM
Scanlan, DJ
Zubkov, MV
AF Gomez-Pereira, Paola R.
Hartmann, Manuela
Grob, Carolina
Tarran, Glen A.
Martin, Adrian P.
Fuchs, Bernhard M.
Scanlan, David J.
Zubkov, Mikhail V.
TI Comparable light stimulation of organic nutrient uptake by SAR11 and
Prochlorococcus in the North Atlantic subtropical gyre
SO ISME JOURNAL
DT Article
AB Subtropical oceanic gyres are the most extensive biomes on Earth where SAR11 and Prochlorococcus bacterioplankton numerically dominate the surface waters depleted in inorganic macronutrients as well as in dissolved organic matter. In such nutrient poor conditions bacterioplankton could become photoheterotrophic, that is, potentially enhance uptake of scarce organic molecules using the available solar radiation to energise appropriate transport systems. Here, we assessed the photoheterotrophy of the key microbial taxa in the North Atlantic oligotrophic gyre and adjacent regions using P-33-ATP, H-3-ATP and S-35-methionine tracers. Light-stimulated uptake of these substrates was assessed in two dominant bacterioplankton groups discriminated by flow cytometric sorting of tracer-labelled cells and identified using catalysed reporter deposition fluorescence in situ hybridisation. One group of cells, encompassing 48% of all bacterioplankton, were identified as members of the SAR11 clade, whereas the other group (24% of all bacterioplankton) was Prochlorococcus. When exposed to light, SAR11 cells took 31% more ATP and 32% more methionine, whereas the Prochlorococcus cells took 33% more ATP and 34% more methionine. Other bacterioplankton did not demonstrate light stimulation. Thus, the SAR11 and Prochlorococcus groups, with distinctly different light-harvesting mechanisms, used light equally to enhance, by approximately one-third, the uptake of different types of organic molecules. Our findings indicate the significance of light-driven uptake of essential organic nutrients by the dominant bacterioplankton groups in the surface waters of one of the less productive, vast regions of the world's oceans-the oligotrophic North Atlantic subtropical gyre. The ISME Journal (2013) 7, 603-614; doi:10.1038/ismej.2012.126; published online 25 October 2012
C1 [Gomez-Pereira, Paola R.; Hartmann, Manuela; Martin, Adrian P.; Zubkov, Mikhail V.] Natl Oceanog Ctr, Ocean Biogeochem & Ecosyst Res Grp, Southampton SO14 3ZH, Hants, England.
[Grob, Carolina; Scanlan, David J.] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
[Tarran, Glen A.] Plymouth Marine Lab, Plymouth, Devon, England.
[Fuchs, Bernhard M.] Max Planck Inst Marine Microbiol, Bremen, Germany.
RP Zubkov, MV (corresponding author), Natl Oceanog Ctr, Ocean Biogeochem & Ecosyst Res Grp, European Way, Southampton SO14 3ZH, Hants, England.
EM mvz@noc.ac.uk
CR Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
AMMERMAN JW, 1985, SCIENCE, V227, P1338, DOI 10.1126/science.227.4692.1338
[Anonymous], PLOS ONE
[Anonymous], ENV MICROBIOL REP
[Anonymous], MICROBIAL ECOLOGY OC
[Anonymous], ENV MICROBIOL
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
BENGISGARBER C, 1983, FEBS LETT, V160, P31, DOI 10.1016/0014-5793(83)80930-2
BENGISGARBER C, 1985, CAN J MICROBIOL, V31, P543, DOI 10.1139/m85-101
BENGISGARBER C, 1982, J BACTERIOL, V149, P808, DOI 10.1128/JB.149.3.808-815.1982
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Casey JR, 2009, AQUAT MICROB ECOL, V58, P31, DOI 10.3354/ame01348
Chapman A G, 1977, Adv Microb Physiol, V15, P253, DOI 10.1016/S0065-2911(08)60318-5
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
CHISHOLM SW, 1992, ARCH MICROBIOL, V157, P297, DOI 10.1007/BF00245165
Church MJ, 2004, APPL ENVIRON MICROB, V70, P4079, DOI 10.1128/AEM.70.7.4079-4087.2004
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
CUHEL RL, 1984, LIMNOL OCEANOGR, V29, P370, DOI 10.4319/lo.1984.29.2.0370
Daugherty RM, 2004, J BACTERIOL, V186, P3262, DOI 10.1128/JB.186.10.3262-3265.2004
Fuchs BM, 2000, APPL ENVIRON MICROB, V66, P3603, DOI 10.1128/AEM.66.8.3603-3607.2000
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hartmann M, 2012, P NATL ACAD SCI USA, V109, P5756, DOI 10.1073/pnas.1118179109
Hill PG, 2010, FEMS MICROBIOL LETT, V306, P82, DOI 10.1111/j.1574-6968.2010.01940.x
Karl DM, 1998, LIMNOL OCEANOGR, V43, P1270, DOI 10.4319/lo.1998.43.6.1270
Kathuria S, 2011, ENVIRON MICROBIOL, V13, P74, DOI 10.1111/j.1462-2920.2010.02310.x
Madigan M. T., 2012, Brock Biology of Microorganisms, V13th
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Michelou VK, 2011, LIMNOL OCEANOGR, V56, P323, DOI 10.4319/lo.2011.56.1.0323
Moore LR, 2005, AQUAT MICROB ECOL, V39, P257, DOI 10.3354/ame039257
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ruiz-González C, 2012, ISME J, V6, P650, DOI 10.1038/ismej.2011.118
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Schmitz-Esser S, 2004, J BACTERIOL, V186, P683, DOI 10.1128/JB.186.3.683-691.2004
Sebastian M, 2011, ENV MICROBIOL REP, V3, P535, DOI 10.1111/j.1758-2229.2011.00253.x
Wanner B.C., 1996, EXCHERICHIA COLI SAL, V1, P1357
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
WILLEY JM, 1989, APPL ENVIRON MICROB, V55, P1888, DOI 10.1128/AEM.55.8.1888-1894.1989
WINN CD, 1984, APPL ENVIRON MICROB, V47, P835, DOI 10.1128/AEM.47.4.835-842.1984
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 2006, CYTOM PART A, V69A, P1010, DOI 10.1002/cyto.a.20332
Zubkov MV, 2009, J PLANKTON RES, V31, P933, DOI 10.1093/plankt/fbp043
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2000, PROG OCEANOGR, V45, P369, DOI 10.1016/S0079-6611(00)00008-2
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 57
TC 55
Z9 58
PD MAR
PY 2013
VL 7
IS 3
BP 603
EP 614
DI 10.1038/ismej.2012.126
UT WOS:000316726400016
DA 2025-07-30
ER
PT J
AU García-Martínez, J
Rodríguez-Valera, F
AF García-Martínez, J
Rodríguez-Valera, F
TI Microdiversity of uncultured marine prokaryotes:: the SAR11 cluster and
the marine Archaea of Group I
SO MOLECULAR ECOLOGY
DT Article
AB The SAR11 cluster and the Group I of marine Archaea represent probably the best two examples of uncultured marine prokaryotes of widespread occurrence. To study their microdiversity and distribution, a total of 81 and 48 clones, respectively, were sequenced from Mediterranean and Antarctic waters at different locations and depths. The DNA regions chosen for the analysis were the last third, approximately, of the 16S rRNA gene and the 16S-23S intergenic spacer (also known as internal transcribed spacer [ITS]). There was a high concordance in both, even with the extremely variable ITS, where potential probes have been proposed for the identification and isolation of these micro-organisms. In terms of community structure, our results show that although depth-related factors seem to be predominant in the final associations of the clones, geography also plays a significant role. A major group of surface-associated sequences was found in both SAR11 and marine Archaea. In both cases this group was relatively homogeneous containing little diversity in terms of sequence, while sequences retrieved from deep samples and some surface clones contained much more heterogeneity. As a whole, both groups of prokaryotes seem to fall within the limits of well-defined taxonomic units.
C1 Univ Miguel Hernandez, Div Microbiol, Alicante 03550, Spain.
RP Rodríguez-Valera, F (corresponding author), Univ Miguel Hernandez, Div Microbiol, Campus San Juan,Carretera Valencia Km 87,Apartado, Alicante 03550, Spain.
CR ACHENBACHRICHTER L, 1988, SYST APPL MICROBIOL, V10, P211, DOI 10.1016/S0723-2020(88)80002-X
Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], 1964, ORIGIN SPECIES
[Anonymous], 1996, Molecular Microbial Ecology Manual. Eds
Antón AI, 1998, J MOL EVOL, V47, P62, DOI 10.1007/PL00006363
Bintrim SB, 1997, P NATL ACAD SCI USA, V94, P277, DOI 10.1073/pnas.94.1.277
Borneman J, 1997, APPL ENVIRON MICROB, V63, P2647, DOI 10.1128/AEM.63.7.2647-2653.1997
DELONG EF, 1994, NATURE, V371, P695, DOI 10.1038/371695a0
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FOX GE, 1992, INT J SYST BACTERIOL, V42, P166, DOI 10.1099/00207713-42-1-166
Fuhrman JA, 1998, NATURE, V393, P410, DOI 10.1038/30839
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
Fuhrman Jed. A., 1998, Aquatic Ecology, V32, P3, DOI 10.1023/A:1009974817127
García-Martínez J, 1999, J MICROBIOL METH, V36, P55, DOI 10.1016/S0167-7012(99)00011-1
GarciaMartinez J, 1996, FEMS IMMUNOL MED MIC, V14, P231, DOI 10.1016/0928-8244(96)00037-5
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Gurtler V, 1996, MICROBIOL-SGM, V142, P3, DOI 10.1099/13500872-142-1-3
KAINE BP, 1989, SYST APPL MICROBIOL, V12, P8
KISHIMOTO N, 1995, SYST APPL MICROBIOL, V18, P85, DOI 10.1016/S0723-2020(11)80453-4
KUROSAWA N, 1995, J GEN APPL MICROBIOL, V41, P75, DOI 10.2323/jgam.41.75
LEFFERS H, 1987, J MOL BIOL, V195, P43, DOI 10.1016/0022-2836(87)90326-3
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
LUDWIG W, 1995, SYST APPL MICROBIOL, V18, P164, DOI 10.1016/S0723-2020(11)80388-7
Luz SP, 1998, J BACTERIOL, V180, P2144, DOI 10.1128/JB.180.8.2144-2151.1998
MacGregor BJ, 1997, APPL ENVIRON MICROB, V63, P1178, DOI 10.1128/AEM.63.3.1178-1181.1997
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Massana R, 1998, LIMNOL OCEANOGR, V43, P607, DOI 10.4319/lo.1998.43.4.0607
Mathews DH, 1999, J MOL BIOL, V288, P911, DOI 10.1006/jmbi.1999.2700
Medlin LK, 1995, NATO ADV SCI INST SE, V38, P133
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Otten L, 1996, ARCH MICROBIOL, V166, P68, DOI 10.1007/s002030050357
Otten L, 1996, MOL GEN GENET, V251, P99
Ovreas L, 1997, APPL ENVIRON MICROB, V63, P3367
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Palys T, 1997, INT J SYST BACTERIOL, V47, P1145, DOI 10.1099/00207713-47-4-1145
Preston CM, 1996, P NATL ACAD SCI USA, V93, P6241, DOI 10.1073/pnas.93.13.6241
Pukall R, 1999, INT J SYST BACTERIOL, V49, P513, DOI 10.1099/00207713-49-2-513
Roth A, 1998, J CLIN MICROBIOL, V36, P139, DOI 10.1128/JCM.36.1.139-147.1998
Sambrook J., 1989, MOL CLONING LAB MANU
SAWADA H, 1993, INT J SYST BACTERIOL, V43, P694, DOI 10.1099/00207713-43-4-694
Schleper C, 1998, J BACTERIOL, V180, P5003, DOI 10.1128/JB.180.19.5003-5009.1998
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Selander R.K., 1987, ESCHERICHIA COLI SAL, P1625
Sievers M, 1996, FEMS MICROBIOL LETT, V142, P43, DOI 10.1016/0378-1097(96)00240-6
SIEVERS M, 1994, SYST APPL MICROBIOL, V17, P189, DOI 10.1078/072320202320386334
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Staley JT, 1999, ASM NEWS, V65, P681
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
Stein JL, 1996, P NATL ACAD SCI USA, V93, P6228, DOI 10.1073/pnas.93.13.6228
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
van Berkum P, 1998, INT J SYST BACTERIOL, V48, P13, DOI 10.1099/00207713-48-1-13
van der Maarel MJEC, 1998, APPL ENVIRON MICROB, V64, P2894
vanBerkum P, 1996, INT J SYST BACTERIOL, V46, P240, DOI 10.1099/00207713-46-1-240
Vinuesa P, 1998, APPL ENVIRON MICROB, V64, P2096
Wong BCY, 1998, J GASTROEN HEPATOL, V13, P1050, DOI 10.1111/j.1440-1746.1998.tb00569.x
YANAGI M, 1993, FEMS MICROBIOL LETT, V107, P115, DOI 10.1111/j.1574-6968.1993.tb06014.x
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 62
TC 125
Z9 136
PD JUL
PY 2000
VL 9
IS 7
BP 935
EP 948
DI 10.1046/j.1365-294x.2000.00953.x
UT WOS:000088579300010
DA 2025-07-30
ER
PT J
AU Brindefalk, B
Ettema, TJG
Viklund, J
Thollesson, M
Andersson, SGE
AF Brindefalk, Bjorn
Ettema, Thijs J. G.
Viklund, Johan
Thollesson, Mikael
Andersson, Siv G. E.
TI A Phylometagenomic Exploration of Oceanic Alphaproteobacteria Reveals
Mitochondrial Relatives Unrelated to the SAR11 Clade
SO PLOS ONE
DT Article
AB Background: According to the endosymbiont hypothesis, the mitochondrial system for aerobic respiration was derived from an ancestral Alphaproteobacterium. Phylogenetic studies indicate that the mitochondrial ancestor is most closely related to the Rickettsiales. Recently, it was suggested that Candidatus Pelagibacter ubique, a member of the SAR11 clade that is highly abundant in the oceans, is a sister taxon to the mitochondrial-Rickettsiales clade. The availability of ocean metagenome data substantially increases the sampling of Alphaproteobacteria inhabiting the oxygen-containing waters of the oceans that likely resemble the originating environment of mitochondria.
Methodology/Principal Findings: We present a phylogenetic study of the origin of mitochondria that incorporates metagenome data from the Global Ocean Sampling (GOS) expedition. We identify mitochondrially related sequences in the GOS dataset that represent a rare group of Alphaproteobacteria, designated OMAC (Oceanic Mitochondria Affiliated Clade) as the closest free-living relatives to mitochondria in the oceans. In addition, our analyses reject the hypothesis that the mitochondrial system for aerobic respiration is affiliated with that of the SAR11 clade.
Conclusions/Significance: Our results allude to the existence of an alphaproteobacterial clade in the oxygen-rich surface waters of the oceans that represents the closest free-living relative to mitochondria identified thus far. In addition, our findings underscore the importance of expanding the taxonomic diversity in phylogenetic analyses beyond that represented by cultivated bacteria to study the origin of mitochondria.
C1 [Brindefalk, Bjorn; Ettema, Thijs J. G.; Viklund, Johan; Thollesson, Mikael; Andersson, Siv G. E.] Evolutionary Biol Ctr, Dept Mol Evolut, Sci Life Lab, Uppsala, Sweden.
RP Brindefalk, B (corresponding author), Evolutionary Biol Ctr, Dept Mol Evolut, Sci Life Lab, Uppsala, Sweden.
EM Siv.Andersson@ebc.uu.se
CR Andersson SGE, 1998, NATURE, V396, P133, DOI 10.1038/24094
Beier CL, 2002, APPL ENVIRON MICROB, V68, P6043, DOI 10.1128/AEM.68.12.6043-6050.2002
Belfiore NM, 2008, SYST BIOL, V57, P294, DOI 10.1080/10635150802044011
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Boussau B, 2004, P NATL ACAD SCI USA, V101, P9722, DOI 10.1073/pnas.0400975101
Canfield DE, 2006, NATURE, V440, P426, DOI 10.1038/440426a
CAVALIERSMITH T, 1987, NATURE, V326, P332, DOI 10.1038/326332a0
Darby AC, 2007, TRENDS GENET, V23, P511, DOI 10.1016/j.tig.2007.08.002
Embley TM, 2006, NATURE, V440, P623, DOI 10.1038/nature04546
Esser C, 2004, MOL BIOL EVOL, V21, P1643, DOI 10.1093/molbev/msh160
FAITH DP, 1992, BIOL CONSERV, V61, P1, DOI 10.1016/0006-3207(92)91201-3
Fitzpatrick DA, 2006, MOL BIOL EVOL, V23, P74, DOI 10.1093/molbev/msj009
Foster PG, 1999, J MOL EVOL, V48, P284, DOI 10.1007/PL00006471
Foster PG, 2004, SYST BIOL, V53, P485, DOI 10.1080/10635150490445779
Gabaldón T, 2003, SCIENCE, V301, P609, DOI 10.1126/science.1085463
GALTIER N, 1995, P NATL ACAD SCI USA, V92, P11317, DOI 10.1073/pnas.92.24.11317
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gray MW, 1999, SCIENCE, V283, P1476, DOI 10.1126/science.283.5407.1476
Gross J, 2010, BIOL DIRECT, V5, DOI 10.1186/1745-6150-5-53
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Huson DH, 2006, MOL BIOL EVOL, V23, P254, DOI 10.1093/molbev/msj030
Huson DH, 1998, BIOINFORMATICS, V14, P68, DOI 10.1093/bioinformatics/14.1.68
Kubatko LS, 2007, SYSTEMATIC BIOL, V56, P17, DOI 10.1080/10635150601146041
Kump LR, 2008, NATURE, V451, P277, DOI 10.1038/nature06587
Kurland CG, 2000, MICROBIOL MOL BIOL R, V64, P786, DOI 10.1128/MMBR.64.4.786-820.2000
LAKE JA, 1994, P NATL ACAD SCI USA, V91, P1455, DOI 10.1073/pnas.91.4.1455
Lang BF, 1997, NATURE, V387, P493, DOI 10.1038/387493a0
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lartillot N, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-S1-S4
Lassmann T, 2006, NUCLEIC ACIDS RES, V34, pW596, DOI 10.1093/nar/gkl191
LOCKHART PJ, 1992, J MOL EVOL, V34, P153
LOCKHART PJ, 1994, MOL BIOL EVOL, V11, P605
Martin W, 1998, NATURE, V392, P37, DOI 10.1038/32096
Mooers AO, 2000, TRENDS ECOL EVOL, V15, P365, DOI 10.1016/S0169-5347(00)01934-0
Not F, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007143
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Steel M, 2005, SYST BIOL, V54, P527, DOI 10.1080/10635150590947023
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Talavera G, 2007, SYST BIOL, V56, P564, DOI 10.1080/10635150701472164
VIKLUND J, 2011, J MOL BIOL, V215, P403
von Mering C, 2007, NUCLEIC ACIDS RES, V35, pD358, DOI 10.1093/nar/gkl825
WALLBERG A, 2007, MRTWIG PHYLOGENETIC
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
Wu DY, 2009, NATURE, V462, P1056, DOI 10.1038/nature08656
YANG D, 1985, P NATL ACAD SCI USA, V82, P4443, DOI 10.1073/pnas.82.13.4443
YANG ZH, 1995, MOL BIOL EVOL, V12, P451
NR 47
TC 44
Z9 50
PD SEP 14
PY 2011
VL 6
IS 9
AR e24457
DI 10.1371/journal.pone.0024457
UT WOS:000295039700022
DA 2025-07-30
ER
PT J
AU Larkin, AA
Hagstrom, G
Brock, ML
Garcia, NS
Martiny, AC
AF Larkin, Alyse A.
Hagstrom, George, I
Brock, Melissa L.
Garcia, Nathan S.
Martiny, Adam C.
TI Basin-scale biogeography of Prochlorococcus and SAR11 ecotype
replication
SO ISME JOURNAL
DT Article
AB Establishing links between microbial diversity and environmental processes requires resolving the high degree of functional variation among closely related lineages or ecotypes. Here, we implement and validate an improved metagenomic approach that estimates the spatial biogeography and environmental regulation of ecotype-specific replication patterns (R-Obs) across ocean regions. A total of 719 metagenomes were analyzed from meridional Bio-GO-SHIP sections in the Atlantic and Indian Ocean. Accounting for sequencing bias and anchoring replication estimates in genome structure were critical for identifying physiologically relevant biological signals. For example, ecotypes within the dominant marine cyanobacteria Prochlorococcus exhibited distinct diel cycles in R-Obs that peaked between 19:00-22:00. Additionally, both Prochlorococcus ecotypes and ecotypes within the highly abundant heterotroph Pelagibacter (SAR11) demonstrated systematic biogeographies in R-Obs that differed from spatial patterns in relative abundance. Finally, R-Obs was significantly regulated by nutrient stress and temperature, and explained by differences in the genomic potential for nutrient transport, energy production, cell wall structure, and replication. Our results suggest that our new approach to estimating replication is reflective of gross population growth. Moreover, this work reveals that the interaction between adaptation and environmental change drives systematic variability in replication patterns across ocean basins that is ecotype-specific, adding an activity-based dimension to our understanding of microbial niche space.
C1 [Larkin, Alyse A.; Garcia, Nathan S.; Martiny, Adam C.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92717 USA.
[Hagstrom, George, I] Princeton Univ, Dept Ecol & Evolut Biol, Princeton, NJ 08544 USA.
[Brock, Melissa L.; Martiny, Adam C.] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92717 USA.
RP Martiny, AC (corresponding author), Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92717 USA.; Martiny, AC (corresponding author), Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92717 USA.
EM amartiny@uci.edu
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Baer SE, 2019, DEEP-SEA RES PT II, V161, P81, DOI 10.1016/j.dsr2.2018.11.008
Baym M, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0128036
Bergeron A, 2006, LECT NOTES COMPUT SC, V4175, P163
Berube PM, 2019, ELIFE, V8, DOI 10.7554/eLife.41043
BINDER BJ, 1995, APPL ENVIRON MICROB, V61, P708, DOI 10.1128/AEM.61.2.708-717.1995
Brown CT, 2016, NAT BIOTECHNOL, V34, P1256, DOI 10.1038/nbt.3704
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Carlin J. B., 2013, BAYESIAN DATA ANAL
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Carlson MCG, 2022, NAT MICROBIOL, V7, P570, DOI 10.1038/s41564-022-01088-x
Carroll J, 2021, APPL ENVIRON MICROB, P01743
Casey JR, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abl4930
Chase AB, 2017, MBIO, V8, DOI [10.1128/mbio.01809-17, 10.1128/mBio.01809-17]
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Delmont TO, 2018, PEERJ, V6, DOI 10.7717/peerj.4320
Emiola A, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz2299
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Follett CL, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2110993118
Fuhrman JA, 1998, NATURE, V393, P410, DOI 10.1038/30839
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Gao Y, 2018, NAT METHODS, V15, P1041, DOI 10.1038/s41592-018-0182-0
Garcia CA, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0254
Glass JB, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00331
Hall EK, 2011, ECOSYSTEMS, V14, P261, DOI 10.1007/s10021-010-9408-4
Hantke K, 2005, CURR OPIN MICROBIOL, V8, P196, DOI 10.1016/j.mib.2005.02.001
Hatzenpichler R, 2014, ENVIRON MICROBIOL, V16, P2568, DOI 10.1111/1462-2920.12436
Hilker R, 2012, BIOINFORMATICS, V28, P2509, DOI 10.1093/bioinformatics/bts440
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Hunter-Cevera KR, 2020, LIMNOL OCEANOGR, V65, P1085, DOI 10.1002/lno.11374
Hynes AM, 2015, LIMNOL OCEANOGR-METH, V13, P640, DOI 10.1002/lom3.10054
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Korem T, 2015, SCIENCE, V349, P1101, DOI 10.1126/science.aac4812
Landry MR, 2011, MAR ECOL PROG SER, V421, P13, DOI 10.3354/meps08792
Larkin AA, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-00889-9
Larkin AA, 2020, LIMNOL OCEANOGR, V65, pS220, DOI 10.1002/lno.11251
Larkin AA, 2016, ISME J, V10, P1555, DOI 10.1038/ismej.2015.244
Lin YJ, 2013, ENVIRON MICROBIOL, V15, P2736, DOI 10.1111/1462-2920.12135
Long ANM, 2021, ISME J, V15, P183, DOI 10.1038/s41396-020-00773-1
Luo HW, 2009, P NATL ACAD SCI USA, V106, P21219, DOI 10.1073/pnas.0907586106
Martiny AC, 2020, LIMNOL OCEANOGR, V65, pS340, DOI 10.1002/lno.11252
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Musat N, 2012, FEMS MICROBIOL REV, V36, P486, DOI 10.1111/j.1574-6976.2011.00303.x
Noell SE, 2021, BIORXIV, DOI [10.1101/2021.05.13.444117v1, DOI 10.1101/2021.05.13.444117V1]
Oh S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047005
Oliver A, 2020, MBIO, V11, DOI 10.1128/mBio.01851-20
Olm MR, 2021, NAT BIOTECHNOL, V39, P727, DOI 10.1038/s41587-020-00797-0
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P5728, DOI 10.1128/AEM.68.11.5728-5736.2002
Raes EJ, 2018, P NATL ACAD SCI USA, V115, pEB266, DOI 10.1073/pnas.1719335115
Ribalet F, 2015, P NATL ACAD SCI USA, V112, P8008, DOI 10.1073/pnas.1424279112
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schapiro JM, 2003, P NATL ACAD SCI USA, V100, P8496, DOI 10.1073/pnas.1033133100
Sebastián M, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2019.0083
Selph KE, 2011, DEEP-SEA RES PT II, V58, P358, DOI 10.1016/j.dsr2.2010.08.014
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Ustick LJ, 2021, SCIENCE, V372, P287, DOI 10.1126/science.abe6301
van Dongen S, 2012, METHODS MOL BIOL, V804, P281, DOI 10.1007/978-1-61779-361-5_15
Vaulot D, 1999, J GEOPHYS RES-OCEANS, V104, P3297, DOI 10.1029/98JC01333
Vieira-Silva S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000808
Wandro S, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03192
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
Worden AZ, 2003, AQUAT MICROB ECOL, V30, P159, DOI 10.3354/ame030159
Zinser ER, 2007, LIMNOL OCEANOGR, V52, P2205, DOI 10.4319/lo.2007.52.5.2205
Zinser ER, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005135
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 70
TC 8
Z9 8
PD FEB
PY 2023
VL 17
IS 2
BP 185
EP 194
DI 10.1038/s41396-022-01332-6
EA OCT 2022
UT WOS:000871174100001
DA 2025-07-30
ER
PT J
AU Baker, BJ
Hyde, EMY
Leao, P
AF Baker, Brett J.
Hyde, Emily
Leao, Pedro
TI Nature should be the model for microbial sciences
SO JOURNAL OF BACTERIOLOGY
DT Review
AB Until recently, microbiologists have relied on cultures to understand the microbial world. As a result, model organisms have been the focus of research into understanding Bacteria and Archaea at a molecular level. Diversity surveys and metagenomic sequencing have revealed that these model species are often present in low abundance in the environment; instead, there are microbial taxa that are cosmopolitan in nature. Due to the numerical dominance of these microorganisms and the size of their habitats, these lineages comprise mind-boggling population sizes upward of 10(28) cells on the planet. Many of these dominant groups have cultured representatives and have been shown to be involved in mediating key processes in nature. Given their importance and the increasing need to understand changes due to climate change, we propose that members of Nitrosophaerota (Nitrosopumilus maritimus), SAR11 (Pelagibacter ubique), Hadesarchaeia, Bathyarchaeia, and others become models in the future. Abundance should not be the only measure of a good model system; there are other organisms that are well suited to advance our understanding of ecology and evolution. For example, the most well-studied symbiotic bacteria, like Buchnera, Aliivibrio, and Rhizobium, should be models for understanding host-associations. Also, there are organisms that hold new insights into major transitions in the evolution of life on the planet like the Asgard Archaea (Heimdallarchaeia). Innovations in a variety of in situ techniques have enabled us to circumvent culturing when studying everything from genetics to physiology. Our deepest understanding of microbiology and its impact on the planet will come from studying these microbes in nature. Laboratory-based studies must be grounded in nature, not the other way around.
C1 [Baker, Brett J.; Leao, Pedro] Univ Texas Austin, Marine Sci Inst, Dept Marine Sci, Port Aransas, TX 78712 USA.
[Baker, Brett J.; Hyde, Emily] Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA.
[Leao, Pedro] Radboud Univ Nijmegen, Dept Microbiol RIBES, Nijmegen, Netherlands.
RP Baker, BJ (corresponding author), Univ Texas Austin, Marine Sci Inst, Dept Marine Sci, Port Aransas, TX 78712 USA.; Baker, BJ (corresponding author), Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA.
EM acidophile@gmail.com
CR Akil C, 2018, NATURE, V562, P439, DOI 10.1038/s41586-018-0548-6
Archer S., 2022, REVIEW, DOI [10.21203/rs.3.rs-244923/v4, DOI 10.21203/RS.3.RS-244923/V4]
Baker BJ, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.2, 10.1038/nmicrobiol.2016.2]
Baker BJ, 2010, P NATL ACAD SCI USA, V107, P8806, DOI 10.1073/pnas.0914470107
Barák I, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9122459
Borrel G, 2019, NAT MICROBIOL, V4, P603, DOI 10.1038/s41564-019-0363-3
BROCK TD, 1972, ARCH MIKROBIOL, V84, P54, DOI 10.1007/BF00408082
Burrows SM, 2009, ATMOS CHEM PHYS, V9, P9281, DOI 10.5194/acp-9-9281-2009
Chen Lin-Xing, 2020, Genome Res, V30, P315, DOI 10.1101/gr.258640.119
Chen LM, 2005, J BACTERIOL, V187, P4992, DOI 10.1128/JB.187.14.4992-4999.2005
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Chong RA, 2019, MOL BIOL EVOL, V36, P1481, DOI 10.1093/molbev/msz082
COHEN SN, 1973, P NATL ACAD SCI USA, V70, P3240, DOI 10.1073/pnas.70.11.3240
Comolli LR, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00367
Denef VJ, 2010, P NATL ACAD SCI USA, V107, P2383, DOI 10.1073/pnas.0907041107
Dombrowski N, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.57, 10.1038/nmicrobiol.2016.57]
Dwulit-Smith JR, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01678-18
ESCHERICH T, 1988, REV INFECT DIS, V10, P1220
Ettwig KF, 2010, NATURE, V464, P543, DOI 10.1038/nature08883
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
He XS, 2015, P NATL ACAD SCI USA, V112, P244, DOI 10.1073/pnas.1419038112
Huang WE, 2007, ENVIRON MICROBIOL, V9, P1878, DOI 10.1111/j.1462-2920.2007.01352.x
Hug LA, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.48, 10.1038/NMICROBIOL.2016.48]
Hugenholtz P, 2003, INT J SYST EVOL MICR, V53, P289, DOI 10.1099/ijs.0.02441-0
Imachi H, 2020, NATURE, V577, P519, DOI 10.1038/s41586-019-1916-6
Janssen PH, 2006, APPL ENVIRON MICROB, V72, P1719, DOI 10.1128/AEM.72.3.1719-1728.2006
Kang I, 2017, SCI REP-UK, V7, DOI 10.1038/srep42252
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Khomyakova MA, 2023, FRONT MICROBIOL, V14, DOI 10.3389/fmicb.2023.1214631
Kim S, 2019, ISME J, V13, P2252, DOI 10.1038/s41396-019-0432-x
Kitzinger K, 2019, NAT MICROBIOL, V4, P234, DOI 10.1038/s41564-018-0316-2
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Leao P, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-50195-2
LEHMAN IR, 1958, J BIOL CHEM, V233, P163
Leigh JA, 2011, FEMS MICROBIOL REV, V35, P577, DOI 10.1111/j.1574-6976.2011.00265.x
Lenski RE, 2017, ISME J, V11, P2181, DOI 10.1038/ismej.2017.69
Leonelli S., 2013, Encyclopedia of Systems Biology, P1398
Li JB, 2023, ENVIRON SCI TECHNOL, V57, P17087, DOI 10.1021/acs.est.3c04247
Li M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9933
Lloyd KG, 2013, NATURE, V496, P215, DOI 10.1038/nature12033
Luria SE, 1943, GENETICS, V28, P491
Martijn J, 2018, NATURE, V557, P101, DOI 10.1038/s41586-018-0059-5
McLoon AL, 2011, J BACTERIOL, V193, P2027, DOI 10.1128/JB.01542-10
Misof B, 2014, SCIENCE, V346, P763, DOI 10.1126/science.1257570
Moran NA, 2021, MICROBIOL-SGM, V167, DOI 10.1099/mic.0.001127
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
OESTERHELT D, 1971, NATURE-NEW BIOL, V233, P149, DOI 10.1038/newbio233149a0
Ostrowski MP, 2022, NAT MICROBIOL, V7, P556, DOI 10.1038/s41564-022-01093-0
Palatinszky M, 2015, NATURE, V524, P105, DOI 10.1038/nature14856
Perreau J, 2022, NAT REV GENET, V23, P23, DOI 10.1038/s41576-021-00395-z
Prangishvili D, 1998, PLASMID, V40, P190, DOI 10.1006/plas.1998.1363
Ram RJ, 2005, SCIENCE, V308, P1915, DOI 10.1126/science. 1109070
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rebrosova K, 2022, FRONT CELL INFECT MI, V12, DOI 10.3389/fcimb.2022.866463
Rodrigues-Oliveira T, 2023, NATURE, V613, P332, DOI 10.1038/s41586-022-05550-y
Rohwer Robin R, 2024, bioRxiv, DOI 10.1101/2024.02.06.579087
Rousset F, 2021, NAT MICROBIOL, V6, P301, DOI 10.1038/s41564-020-00839-y
Santl-Temkiv T, 2022, FEMS MICROBIOL REV, V46, DOI 10.1093/femsre/fuac009
Santoro AE, 2011, SCIENCE, V333, P1282, DOI 10.1126/science.1208239
Schaible GA, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00134-3
Septer AN, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00108-19
Shomar H, 2024, NAT ECOL EVOL, DOI 10.1038/s41559-024-02463-z
Starr EP, 2021, MSPHERE, V6, DOI 10.1128/mSphere.00085-21
Tamarit D, 2024, SYST APPL MICROBIOL, V47, DOI 10.1016/j.syapm.2024.126525
Tran LT, 2024, COMMUN BIOL, V7, DOI 10.1038/s42003-024-05888-1
VANRHIJN P, 1995, MICROBIOL REV, V59, P124, DOI 10.1128/MMBR.59.1.124-142.1995
von Kügelgen A, 2024, NATURE, V630, P230, DOI 10.1038/s41586-024-07462-5
Wang YZ, 2019, NAT MICROBIOL, V4, P595, DOI 10.1038/s41564-019-0364-2
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
WOESE CR, 1990, P NATL ACAD SCI USA, V87, P4576, DOI 10.1073/pnas.87.12.4576
WOESE CR, 1977, P NATL ACAD SCI USA, V74, P5088, DOI 10.1073/pnas.74.11.5088
Wolfe RS, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 3, THIRD EDITION, P3, DOI 10.1007/0-387-30743-5_1
Zaremba-Niedzwiedzka K, 2017, NATURE, V541, P353, DOI 10.1038/nature21031
Zhong Q, 2024, P NATL ACAD SCI USA, V121, DOI 10.1073/pnas.2319790121
Zhou Z, 2022, NATURE, V601, P257, DOI 10.1038/s41586-021-04235-2
NR 78
TC 1
Z9 1
PD SEP 19
PY 2024
VL 206
IS 9
DI 10.1128/jb.00228-24
EA AUG 2024
UT WOS:001293662200001
DA 2025-07-30
ER
PT J
AU Reisch, CR
Moran, MA
Whitman, WB
AF Reisch, Chris R.
Moran, Mary Ann
Whitman, William B.
TI Bacterial catabolism of dimethylsulfoniopropionate (DMSP)
SO FRONTIERS IN MICROBIOLOGY
DT Review
AB Dimethylsulfoniopropionate (DMSP) is a metabolite produced primarily by marine phytoplankton and is the main precursor to the climatically important gas dimethylsulfide (DMS). DMS is released upon bacterial catabolism of DMSP but it is not the only possible fate of DMSP sulfur. An alternative demethylation/demethiolation pathway results in the eventual release of methanethiol, a highly reactive volatile sulfur compound that contributes little to the atmospheric sulfur flux. The activity of these pathways control the natural flux of sulfur released to the atmosphere. Although these biochemical pathways and the factors that regulate them are of great interest, they are poorly understood. Only recently have some of the genes and pathways responsible for DMSP catabolism been elucidated. Thus far, six different enzymes have been identified that catalyze the cleavage of DMSP resulting in the release of DMS. In addition, five of these enzymes appear to produce acrylate, while one produces 3-hydroxypropionate. In contrast, only one enzyme, designated DmdA, has been identified that catalyzes the demethylation reaction producing methylmercaptopropionate (MMPA). The metabolism of MMPA is performed by a series of three coenzyme-A mediated reactions catalyzed by DmdB, DmdC, and DmdD. Interestingly, Candidatus Pelagibacter ubique, a member of the SAR11 clade of Alphaproteobacteria that is highly abundant in marine surface waters, possessed functional DmdA, DmdB, and DmdC enzymes. Microbially mediated transformations of both DMS and methanethiol are also possible, although many of the biochemical and molecular genetic details are still unknown. This review will focus on the recent discoveries in the biochemical pathways that mineralize and assimilate DMSP carbon and sulfur, as well as the areas for which a comprehensive understanding is still lacking.
C1 [Reisch, Chris R.; Whitman, William B.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Whitman, WB (corresponding author), Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
EM whitman@uga.edu
CR Alber BE, 2002, J BIOL CHEM, V277, P12137, DOI 10.1074/jbc.M110802200
Albers E, 2009, IUBMB LIFE, V61, P1132, DOI 10.1002/iub.278
[Anonymous], 2006, REVENGE GAIA EARTHS
Archer SD, 2002, DEEP-SEA RES PT II, V49, P3067, DOI 10.1016/S0967-0645(02)00072-3
Bentley R, 2004, CHEMOSPHERE, V55, P291, DOI 10.1016/j.chemosphere.2003.12.017
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Boden R, 2011, J BACTERIOL, V193, P1250, DOI 10.1128/JB.00977-10
Boden R, 2010, ENVIRON MICROBIOL, V12, P2688, DOI 10.1111/j.1462-2920.2010.02238.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Chin M, 1996, J GEOPHYS RES-ATMOS, V101, P18691, DOI 10.1029/96JD01222
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P1099, DOI 10.1111/j.1462-2920.2008.01592.x
Curson ARJ, 2011, ISME J, V5, P1191, DOI 10.1038/ismej.2010.203
DACEY JWH, 1987, GEOPHYS RES LETT, V14, P1246, DOI 10.1029/GL014i012p01246
Dai Y, 1999, J BIOL CHEM, V274, P1193, DOI 10.1074/jbc.274.3.1193
del Valle DA, 2007, MAR CHEM, V103, P197, DOI 10.1016/j.marchem.2006.07.005
DESOUZA MP, 1995, APPL ENVIRON MICROB, V61, P3986, DOI 10.1128/AEM.61.11.3986-3991.1995
DESOUZA MP, 1995, APPL ENVIRON MICROB, V61, P21, DOI 10.1128/AEM.61.1.21-26.1995
deZwart JMM, 1997, APPL ENVIRON MICROB, V63, P3318, DOI 10.1128/AEM.63.8.3318-3322.1997
DOLATA MM, 1993, J BIOL CHEM, V268, P14426
Erb TJ, 2007, P NATL ACAD SCI USA, V104, P10631, DOI 10.1073/pnas.0702791104
Erb TJ, 2009, MOL MICROBIOL, V73, P992, DOI 10.1111/j.1365-2958.2009.06837.x
FLAVIN M, 1957, J BIOL CHEM, V229, P965
Franklin DJ, 2010, MAR ECOL PROG SER, V410, P13, DOI 10.3354/meps08596
Friedrich CG, 2001, APPL ENVIRON MICROB, V67, P2873, DOI 10.1128/AEM.67.7.2873-2882.2001
Gage DA, 1997, NATURE, V387, P891, DOI 10.1038/43160
Ghosh W, 2009, FEMS MICROBIOL REV, V33, P999, DOI 10.1111/j.1574-6976.2009.00187.x
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
GOULD WD, 1992, J GEN MICROBIOL, V138, P217, DOI 10.1099/00221287-138-1-217
HATAKEYAMA S, 1982, GEOPHYS RES LETT, V9, P583, DOI 10.1029/GL009i005p00583
Heilbronn J, 1999, J BACTERIOL, V181, P1739, DOI 10.1128/JB.181.6.1739-1747.1999
Hetzel M, 2003, EUR J BIOCHEM, V270, P902, DOI 10.1046/j.1432-1033.2003.03450.x
Hill RW, 1998, AQUAT MICROB ECOL, V14, P1, DOI 10.3354/ame014001
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
KANZAKI H, 1987, EUR J BIOCHEM, V163, P105, DOI 10.1111/j.1432-1033.1987.tb10742.x
Kappler U, 2001, FEMS MICROBIOL LETT, V203, P1, DOI 10.1016/S0378-1097(01)00304-4
Kappler U, 2001, ARCH MICROBIOL, V175, P102, DOI 10.1007/s002030000241
Kappler U, 2011, BBA-BIOENERGETICS, V1807, P1, DOI 10.1016/j.bbabio.2010.09.004
Karsten U, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P143
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
KIENE RP, 1988, APPL ENVIRON MICROB, V54, P2208, DOI 10.1128/AEM.54.9.2208-2212.1988
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
KIENE RP, 1990, NATURE, V345, P702, DOI 10.1038/345702a0
Kiene RP, 1996, MAR CHEM, V54, P69, DOI 10.1016/0304-4203(96)00006-0
KIENE RP, 1988, NATURE, V332, P148, DOI 10.1038/332148a0
Kim S.-J., 2000, BIOTECHNOL BIOPROC E, V5, P465, DOI [DOI 10.1007/BF02931949, 10.1007/BF02931949]
Kirkwood M, 2010, MICROBIOL-SGM, V156, P1900, DOI 10.1099/mic.0.038927-0
KIRST GO, 1990, ANNU REV PLANT PHYS, V41, P21, DOI 10.1146/annurev.pp.41.060190.000321
Kocsis MG, 2000, PLANT PHYSIOL, V123, P1153, DOI 10.1104/pp.123.3.1153
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
LU WP, 1985, BIOCHIM BIOPHYS ACTA, V828, P116, DOI 10.1016/0167-4838(85)90046-9
McDevitt CA, 2002, MOL MICROBIOL, V44, P1575, DOI 10.1046/j.1365-2958.2002.02978.x
Meyer B, 2007, MICROBIOL-SGM, V153, P2026, DOI 10.1099/mic.0.2006/003152-0
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Mukhopadhyaya PN, 2000, J BACTERIOL, V182, P4278, DOI 10.1128/JB.182.15.4278-4287.2000
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
NISHIGUCHI MK, 1995, J PHYCOL, V31, P567, DOI 10.1111/j.1529-8817.1995.tb02551.x
OKAMURAIKEDA K, 1982, J BIOL CHEM, V257, P135
Omelchenko MV, 2010, BIOL DIRECT, V5, DOI 10.1186/1745-6150-5-31
Otte ML, 2004, J EXP BOT, V55, P1919, DOI 10.1093/jxb/erh178
Pott AS, 1998, MICROBIOL-SGM, V144, P1881, DOI 10.1099/00221287-144-7-1881
Raina JB, 2010, TRENDS MICROBIOL, V18, P101, DOI 10.1016/j.tim.2009.12.002
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Rhodes D, 1997, PLANT PHYSIOL, V115, P1541, DOI 10.1104/pp.115.4.1541
Rohwerder T, 2003, MICROBIOL-SGM, V149, P1699, DOI 10.1099/mic.0.26212-0
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schäfer H, 2010, J EXP BOT, V61, P315, DOI 10.1093/jxb/erp355
Schutz M, 1997, J BIOL CHEM, V272, P9890
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
STEFELS J, 1993, MAR ECOL PROG SER, V97, P11, DOI 10.3354/meps097011
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Steinke M, 2002, AQUAT MICROB ECOL, V26, P259, DOI 10.3354/ame026259
Stines-Chaumeil C, 2006, BIOCHEM J, V395, P107, DOI 10.1042/BJ20051525
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
SUYLEN GMH, 1987, J GEN MICROBIOL, V133, P2989
Taylor BF, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P265
TAYLOR BF, 1991, APPL ENVIRON MICROB, V57, P3581, DOI 10.1128/AEM.57.12.3581-3584.1991
Teufel R, 2009, J BACTERIOL, V191, P4572, DOI 10.1128/JB.00068-09
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Todd JD, 2011, ENVIRON MICROBIOL, V13, P427, DOI 10.1111/j.1462-2920.2010.02348.x
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Toole DA, 2006, DEEP-SEA RES PT I, V53, P136, DOI 10.1016/j.dsr.2005.09.003
Toole DA, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019863
Toole DA, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000426
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vallina SM, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000415
Vallina SM, 2007, SCIENCE, V315, P506, DOI 10.1126/science.1133680
van Duyl FC, 1998, J SEA RES, V40, P221, DOI 10.1016/S1385-1101(98)00024-0
vandenBerg AJ, 1996, MAR ECOL PROG SER, V145, P233, DOI 10.3354/meps145233
VANDERMAAREL MJEC, 1995, APPL ENVIRON MICROB, V61, P48, DOI 10.1128/AEM.61.1.48-51.1995
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Vila-Costa M, 2006, ENVIRON MICROBIOL, V8, P2189, DOI 10.1111/j.1462-2920.2006.01102.x
Vila-Costa M, 2010, ISME J, V4, P1410, DOI 10.1038/ismej.2010.62
VISSCHER PT, 1994, APPL ENVIRON MICROB, V60, P4617, DOI 10.1128/AEM.60.12.4617-4619.1994
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Wang YY, 2006, PROCESS BIOCHEM, V41, P2072, DOI 10.1016/j.procbio.2006.05.009
Wolfe GV, 1996, LIMNOL OCEANOGR, V41, P1151, DOI 10.4319/lo.1996.41.6.1151
Wolfe GV, 1997, NATURE, V387, P894, DOI 10.1038/43168
Yancey PH, 2005, J EXP BIOL, V208, P2819, DOI 10.1242/jeb.01730
Yoch DC, 2002, APPL ENVIRON MICROB, V68, P5804, DOI 10.1128/AEM.68.12.5804-5815.2002
Yost DM, 2009, MAR ECOL PROG SER, V386, P61, DOI 10.3354/meps08031
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 106
TC 162
Z9 193
PY 2011
VL 2
AR 172
DI 10.3389/fmicb.2011.00172
UT WOS:000208863500181
DA 2025-07-30
ER
PT J
AU Du, S
Qin, F
Zhang, ZF
Tian, Z
Yang, MY
Liu, XX
Zhao, GY
Xia, Q
Zhao, YL
AF Du, Sen
Qin, Fang
Zhang, Zefeng
Tian, Zhen
Yang, Mingyu
Liu, Xinxin
Zhao, Guiyuan
Xia, Qian
Zhao, Yanlin
TI Genomic diversity, life strategies and ecology of marine HTVC010P-type
pelagiphages
SO MICROBIAL GENOMICS
DT Article
AB SAR11 bacteria dominate ocean surface bacterioplankton communities, and play an important role in marine carbon and nutrient cycling. The biology and ecology of SAR11 are impacted by SAR11 phages (pelagiphages) that are highly diverse and abundant in the ocean. Among the currently known pelagiphages, HTVC010P represents an extremely abundant but under- studied phage group in the ocean. In this study, we have isolated seven new HTVC010P- type pelagiphages, and recovered 77 nearly full- length HTVC010P- type metagenomic viral genomes from marine metagenomes. Comparative genomic and phylogenomic analyses showed that HTVC010P- type pelagiphages display genome synteny and can be clustered into two major subgroups, with subgroup I consisting of strictly lytic phages and subgroup II mostly consisting of phages with potential lysogenic life cycles. All but one member of the subgroup II contain an integrase gene. Site- specific integration of subgroup II HTVC010P- type pelagiphage was either verified experimentally or identified by in silico genomic sequence analyses, which revealed that various SAR11 tRNA genes can serve as the integration sites of HTVC010P- type pelagiphages. Moreover, HTVC010P- type pelagiphage integration was confirmed by the detection of several Global Ocean Survey (GOS) fragments that contain hybrid phage-host integration sites. Metagenomic recruitment analysis revealed that these HTVC010P- type phages were globally distributed and most lytic subgroup I members exhibited higher relative abundance. Altogether, this study significantly expands our knowledge about the genetic diversity, life strategies and ecology of HTVC010P- type pelagiphages.
C1 [Du, Sen; Qin, Fang; Zhang, Zefeng; Tian, Zhen; Yang, Mingyu; Liu, Xinxin; Zhao, Guiyuan; Xia, Qian; Zhao, Yanlin] Fujian Agr & Forestry Univ, Fujian Prov Key & Aboratory Agroecol Proc & Safet, Coll Life Sci, Fuzhou, Peoples R China.
RP Zhao, YL (corresponding author), Fujian Agr & Forestry Univ, Fujian Prov Key & Aboratory Agroecol Proc & Safet, Coll Life Sci, Fuzhou, Peoples R China.
EM yanlinzhao@fafu.edu.cn
CR Beaulaurier J, 2020, GENOME RES, V30, P437, DOI 10.1101/gr.251686.119
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chen LX, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00410-19
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Correa AMS, 2021, NAT REV MICROBIOL, V19, P501, DOI 10.1038/s41579-021-00530-x
Eddy SR, 1998, BIOINFORMATICS, V14, P755, DOI 10.1093/bioinformatics/14.9.755
Eggleston EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01534
Feiner R, 2015, NAT REV MICROBIOL, V13, P641, DOI 10.1038/nrmicro3527
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Fischer Steve, 2011, Curr Protoc Bioinformatics, VChapter 6, DOI 10.1002/0471250953.bi0612s35
Flores-Uribe J, 2019, ENV MICROBIOL REP, V11, P598, DOI 10.1111/1758-2229.12773
Fogg PCM, 2014, J MOL BIOL, V426, P2703, DOI 10.1016/j.jmb.2014.05.014
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
FULLER RS, 1984, CELL, V38, P889, DOI 10.1016/0092-8674(84)90284-8
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Howard-Varona C, 2017, ISME J, V11, P1511, DOI 10.1038/ismej.2017.16
Huang SJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142962
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Katoh K, 2009, METHODS MOL BIOL, V537, P39, DOI 10.1007/978-1-59745-251-9_3
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
KRONE FA, 1991, MOL GEN GENET, V225, P314, DOI 10.1007/BF00269864
Labrie SJ, 2013, ENVIRON MICROBIOL, V15, P1356, DOI 10.1111/1462-2920.12053
Lavigne R, 2008, RES MICROBIOL, V159, P406, DOI 10.1016/j.resmic.2008.03.005
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Lukashin AV, 1998, NUCLEIC ACIDS RES, V26, P1107, DOI 10.1093/nar/26.4.1107
Malmstrom RR, 2013, ISME J, V7, P184, DOI 10.1038/ismej.2012.89
Marchler-Bauer A, 2011, NUCLEIC ACIDS RES, V39, pD225, DOI 10.1093/nar/gkq1189
Martinez-Hernandez F, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01226
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
MCDONNELL GE, 1994, J BACTERIOL, V176, P5831, DOI 10.1128/JB.176.18.5831-5834.1994
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Meier-Kolthoff JP, 2017, BIOINFORMATICS, V33, P3396, DOI 10.1093/bioinformatics/btx440
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Murphy J, 2013, APPL ENVIRON MICROB, V79, P7547, DOI 10.1128/AEM.02229-13
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Pope WH, 2007, J MOL BIOL, V368, P966, DOI 10.1016/j.jmb.2007.02.046
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Sabehi G, 2012, P NATL ACAD SCI USA, V109, P2037, DOI 10.1073/pnas.1115467109
Sambrook J., 1989, Molecular Cloning: A Laboratory Manual
Sime-Ngando T, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00355
Söding J, 2005, NUCLEIC ACIDS RES, V33, pW244, DOI 10.1093/nar/gki408
Sullivan MB, 2009, ENVIRON MICROBIOL, V11, P2935, DOI 10.1111/j.1462-2920.2009.02081.x
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Touchon M, 2016, ISME J, V10, P2744, DOI 10.1038/ismej.2016.47
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Ud-Din AIMS, 2016, INT J MOL SCI, V17, DOI 10.3390/ijms17071018
Warwick-Dugdale J, 2019, PEERJ, V7, DOI 10.7717/peerj.6800
WEGRZYN G, 1995, GENE, V154, P47, DOI 10.1016/0378-1119(94)00849-N
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Williams KP, 2002, NUCLEIC ACIDS RES, V30, P866, DOI 10.1093/nar/30.4.866
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zdobnov EM, 2001, BIOINFORMATICS, V17, P847, DOI 10.1093/bioinformatics/17.9.847
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhang ZF, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00494-19
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 66
TC 11
Z9 11
PD JUL
PY 2021
VL 7
IS 7
AR 000596
DI 10.1099/mgen.0.000596
UT WOS:000681473100009
DA 2025-07-30
ER
PT J
AU Thompson, LR
Field, C
Romanuk, T
Ngugi, DK
Siam, R
El Dorry, H
Stingl, U
AF Thompson, Luke R.
Field, Chris
Romanuk, Tamara
Ngugi, David Kamanda
Siam, Rania
El Dorry, Hamza
Stingl, Ulrich
TI Patterns of ecological specialization among microbial populations in the
Red Sea and diverse oligotrophic marine environments
SO ECOLOGY AND EVOLUTION
DT Article
AB Large swaths of the nutrient-poor surface ocean are dominated numerically by cyanobacteria (Prochlorococcus), cyanobacterial viruses (cyanophage), and alphaproteobacteria (SAR11). How these groups thrive in the diverse physicochemical environments of different oceanic regions remains poorly understood. Comparative metagenomics can reveal adaptive responses linked to ecosystem-specific selective pressures. The Red Sea is well-suited for studying adaptation of pelagic-microbes, with salinities, temperatures, and light levels at the extreme end for the surface ocean, and low nutrient concentrations, yet no metagenomic studies have been done there. The Red Sea (high salinity, high light, low N and P) compares favorably with the Mediterranean Sea (high salinity, low P), Sargasso Sea (low P), and North Pacific Subtropical Gyre (high light, low N). We quantified the relative abundance of genetic functions among Prochlorococcus, cyanophage, and SAR11 from these four regions. Gene frequencies indicate selection for phosphorus acquisition (Mediterranean/Sargasso), DNA repair and high-light responses (Red Sea/Pacific Prochlorococcus), and osmolyte C1 oxidation (Red Sea/Mediterranean SAR11). The unexpected connection between salinity-dependent osmolyte production and SAR11 C1 metabolism represents a potentially major coevolutionary adaptation and biogeochemical flux. Among Prochlorococcus and cyanophage, genes enriched in specific environments had ecotype distributions similar to nonenriched genes, suggesting that inter-ecotype gene transfer is not a major source of environment-specific adaptation. Clustering of metagenomes using gene frequencies shows similarities in populations (Red Sea with Pacific, Mediterranean with Sargasso) that belie their geographic distances. Taken together, the genetic functions enriched in specific environments indicate competitive strategies for maintaining carrying capacity in the face of physical stressors and low nutrient availability.
C1 [Thompson, Luke R.; Ngugi, David Kamanda; Stingl, Ulrich] King Abdullah Univ Sci & Technol KAUST, Red Sea Res Ctr, Thuwal 239556900, Saudi Arabia.
[Field, Chris] Dalhousie Univ, Dept Math & Stat, Halifax, NS B3H 3J5, Canada.
[Romanuk, Tamara] Dalhousie Univ, Dept Biol, Halifax, NS B3H 3J5, Canada.
[Siam, Rania; El Dorry, Hamza] Amer Univ Cairo, Dept Biol, New Cairo 11835, Egypt.
RP Thompson, LR (corresponding author), 4700 King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Off 3216 WS14, Bldg 2, Thuwal 239556900, Saudi Arabia.
EM luke.thompson@kaust.edu.sa
CR [Anonymous], 2001, Plant strategies, Vegetation Process and Ecosystem Properties
[Anonymous], 1987, KEY ENV RED SEA, DOI DOI 10.1016/B978-0-08-028873-4.50008-6
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
BERGH O, 1989, NATURE, V340, P467, DOI 10.1038/340467a0
Burg MB, 2008, J BIOL CHEM, V283, P7309, DOI 10.1074/jbc.R700042200
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Danovaro R., 2010, PLOS ONE, V5
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dishon G, 2012, INT J REMOTE SENS, V33, P2683, DOI 10.1080/01431161.2011.619209
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
ESTRADA M, 1993, MAR ECOL PROG SER, V92, P289, DOI 10.3354/meps092289
Falnes PO, 2002, NATURE, V419, P178, DOI 10.1038/nature01048
Feingersch R, 2012, ISME J, V6, P827, DOI 10.1038/ismej.2011.149
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Garczarek L, 2007, FEMS MICROBIOL ECOL, V60, P189, DOI 10.1111/j.1574-6941.2007.00297.x
Ghai R, 2012, SCI REP-UK, V2, DOI 10.1038/srep00490
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hendrix RW, 2000, TRENDS MICROBIOL, V8, P504, DOI 10.1016/S0966-842X(00)01863-1
Jickells TD, 2005, SCIENCE, V308, P67, DOI 10.1126/science.1105959
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karl DM., 2001, OCEANOGRAPHY, V14, P6
Kaufman L., 2005, Finding Groups in Data: An Introduction to Cluster Analysis, V344, DOI 10.1002/9780470316801
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
KULKARNI RD, 1994, J BACTERIOL, V176, P959, DOI 10.1128/JB.176.4.959-965.1994
KULLBACK S, 1951, ANN MATH STAT, V22, P79, DOI 10.1214/aoms/1177729694
Latifi A, 2009, FEMS MICROBIOL REV, V33, P258, DOI 10.1111/j.1574-6976.2008.00134.x
LINDELL D, 1995, LIMNOL OCEANOGR, V40, P1130, DOI 10.4319/lo.1995.40.6.1130
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Manca B, 2004, J MARINE SYST, V48, P83, DOI 10.1016/j.jmarsys.2003.11.025
Martínez A, 2012, ENVIRON MICROBIOL, V14, P1363, DOI 10.1111/j.1462-2920.2011.02612.x
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Martiny AC, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00238
McDaniel LD, 2010, SCIENCE, V330, P50, DOI 10.1126/science.1192243
Millard AD, 2009, ENVIRON MICROBIOL, V11, P2370, DOI 10.1111/j.1462-2920.2009.01966.x
Ngugi DK, 2012, MOL ECOL, V21, P388, DOI 10.1111/j.1365-294X.2011.05378.x
Post AF, 2005, AQUAT ECOL SER, V3, P87
Prosser JI, 2007, NAT REV MICROBIOL, V5, P384, DOI 10.1038/nrmicro1643
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SANDERS JG, 1980, ESTUAR COAST MAR SCI, V10, P555, DOI 10.1016/S0302-3524(80)80075-2
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Singh AH, 2009, J BACTERIOL, V191, P32, DOI 10.1128/JB.01084-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stambler N, 2005, J SEA RES, V54, P186, DOI 10.1016/j.seares.2005.04.006
Sullivan MB, 2010, ENVIRON MICROBIOL, V12, P3035, DOI 10.1111/j.1462-2920.2010.02280.x
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
SUTTLE CA, 1994, APPL ENVIRON MICROB, V60, P3167, DOI 10.1128/AEM.60.9.3167-3174.1994
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Weigele PR, 2007, ENVIRON MICROBIOL, V9, P1675, DOI 10.1111/j.1462-2920.2007.01285.x
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zeng QL, 2012, CURR BIOL, V22, P124, DOI 10.1016/j.cub.2011.11.055
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 63
TC 38
Z9 39
PD JUN
PY 2013
VL 3
IS 6
BP 1780
EP 1797
DI 10.1002/ece3.593
UT WOS:000320274400030
DA 2025-07-30
ER
PT J
AU Tsementzi, D
Wu, JY
Deutsch, S
Nath, S
Rodriguez, LM
Burns, AS
Ranjan, P
Sarode, N
Malmstrom, RR
Padilla, CC
Stone, BK
Bristow, LA
Larsen, M
Glass, JB
Thamdrup, B
Woyke, T
Konstantinidis, KT
Stewart, FJ
AF Tsementzi, Despina
Wu, Jieying
Deutsch, Samuel
Nath, Sangeeta
Rodriguez-R, Luis M.
Burns, Andrew S.
Ranjan, Piyush
Sarode, Neha
Malmstrom, Rex R.
Padilla, Cory C.
Stone, Benjamin K.
Bristow, Laura A.
Larsen, Morten
Glass, Jennifer B.
Thamdrup, Bo
Woyke, Tanja
Konstantinidis, Konstantinos T.
Stewart, Frank J.
TI SAR11 bacteria linked to ocean anoxia and nitrogen loss
SO NATURE
DT Article
AB Bacteria of the SAR11 clade constitute up to one half of all microbial cells in the oxygen-rich surface ocean. SAR11 bacteria are also abundant in oxygen minimum zones (OMZs), where oxygen falls below detection and anaerobic microbes have vital roles in converting bioavailable nitrogen to N-2 gas. Anaerobic metabolism has not yet been observed in SAR11, and it remains unknown how these bacteria contribute to OMZ biogeochemical cycling. Here, genomic analysis of single cells from the world's largest OMZ revealed previously uncharacterized SAR11 lineages with adaptations for life without oxygen, including genes for respiratory nitrate reductases (Nar). SAR11 nar genes were experimentally verified to encode proteins catalysing the nitrite-producing first step of denitrification and constituted similar to 40% of OMZ nar transcripts, with transcription peaking in the anoxic zone of maximum nitrate reduction activity. These results link SAR11 to pathways of ocean nitrogen loss, redefining the ecological niche of Earth's most abundant organismal group.
C1 [Tsementzi, Despina; Konstantinidis, Konstantinos T.] Georgia Inst Technol, Sch Civil & Environm Engn, Ford Environm Sci & Technol Bldg,311 Ferst Dr, Atlanta, GA 30332 USA.
[Wu, Jieying; Rodriguez-R, Luis M.; Burns, Andrew S.; Ranjan, Piyush; Sarode, Neha; Padilla, Cory C.; Konstantinidis, Konstantinos T.; Stewart, Frank J.] Georgia Inst Technol, Sch Biol Sci, Ford Environm Sci & Technol Bldg,311 Ferst Dr, Atlanta, GA 30332 USA.
[Deutsch, Samuel; Nath, Sangeeta; Malmstrom, Rex R.; Woyke, Tanja] Dept Energy Joint Genome Inst, 2800 Mitchell Dr, Walnut Creek, CA 94598 USA.
[Stone, Benjamin K.] Bowdoin Coll, Dept Biol, 255 Maine St, Brunswick, ME 04011 USA.
[Bristow, Laura A.] Max Planck Inst Marine Microbiol, Biochem Grp, D-28359 Bremen, Germany.
[Larsen, Morten; Thamdrup, Bo] Univ Southern Denmark, Dept Biol, Campusvej 55, DK-5230 Odense M, Denmark.
[Larsen, Morten; Thamdrup, Bo] Univ Southern Denmark, Nord Ctr Earth Evolut NordCEE, Campusvej 55, DK-5230 Odense M, Denmark.
[Glass, Jennifer B.] Georgia Inst Technol, Sch Earth & Atmospher Sci, Ford Environm Sci & Technol Bldg,311 Ferst Dr, Atlanta, GA 30332 USA.
RP Stewart, FJ (corresponding author), Georgia Inst Technol, Sch Biol Sci, Ford Environm Sci & Technol Bldg,311 Ferst Dr, Atlanta, GA 30332 USA.
EM frank.stewart@biology.gatech.edu
CR Alberge F, 2015, ELIFE, V4, DOI 10.7554/eLife.05357
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bender KS, 2005, J BACTERIOL, V187, P5090, DOI 10.1128/JB.187.15.5090-5096.2005
Berger SA, 2011, SYST BIOL, V60, P291, DOI 10.1093/sysbio/syr010
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Castelle CJ, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3120
Codispoti LA, 2001, SCI MAR, V65, P85, DOI 10.3989/scimar.2001.65s285
Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610
Cox MP, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-485
Dalsgaard T, 2014, MBIO, V5, DOI 10.1128/mBio.01966-14
Dean FB, 2002, P NATL ACAD SCI USA, V99, P5261, DOI 10.1073/pnas.082089499
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glass JB, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00998
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Gruber N., 2004, The Ocean Carbon Cycle and Climate, P97, DOI [10.1007/978-1-4020-2087-2_4, DOI 10.1007/978-1-4020-2087-2_4]
Hajaya MG, 2012, BIORESOURCE TECHNOL, V118, P73, DOI 10.1016/j.biortech.2012.05.050
IOBBI C, 1987, EUR J BIOCHEM, V168, P451, DOI 10.1111/j.1432-1033.1987.tb13438.x
IOBBINIVOL C, 1990, EUR J BIOCHEM, V188, P679, DOI 10.1111/j.1432-1033.1990.tb15450.x
Jormakka M, 2004, STRUCTURE, V12, P95, DOI 10.1016/j.str.2003.11.020
Kalvelage T, 2013, NAT GEOSCI, V6, P228, DOI [10.1038/ngeo1739, 10.1038/NGEO1739]
Kalvelage T, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0029299
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Khlebnikov A, 2002, BIOTECHNOL PROGR, V18, P672, DOI 10.1021/bp010141k
King GM, 2013, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00438
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Konstantinidis KT, 2007, CURR OPIN MICROBIOL, V10, P504, DOI 10.1016/j.mib.2007.08.006
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Kuwahara H, 2007, CURR BIOL, V17, P881, DOI 10.1016/j.cub.2007.04.039
Lagesen K, 2007, NUCLEIC ACIDS RES, V35, P3100, DOI 10.1093/nar/gkm160
Lücker S, 2010, P NATL ACAD SCI USA, V107, P13479, DOI 10.1073/pnas.1003860107
Lüke C, 2016, PEERJ, V4, DOI 10.7717/peerj.1924
Luo CW, 2014, NUCLEIC ACIDS RES, V42, DOI 10.1093/nar/gku169
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Martinez-Espinosa RM, 2007, FEMS MICROBIOL LETT, V276, P129, DOI 10.1111/j.1574-6968.2007.00887.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Philippot L, 2002, BBA-GENE STRUCT EXPR, V1577, P355, DOI 10.1016/S0167-4781(02)00420-7
Potter LC, 1999, BIOCHEM J, V344, P77, DOI 10.1042/0264-6021:3440077
Raghunathan A, 2005, APPL ENVIRON MICROB, V71, P3342, DOI 10.1128/AEM.71.6.3342-3347.2005
Reddy TBK, 2015, NUCLEIC ACIDS RES, V43, pD1099, DOI 10.1093/nar/gku950
Revsbech NP, 2009, LIMNOL OCEANOGR-METH, V7, P371, DOI 10.4319/lom.2009.7.371
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Rothery RA, 2008, BBA-BIOMEMBRANES, V1778, P1897, DOI 10.1016/j.bbamem.2007.09.002
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
Sorokin DY, 2012, ISME J, V6, P2245, DOI 10.1038/ismej.2012.70
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Starkenburg SR, 2006, APPL ENVIRON MICROB, V72, P2050, DOI 10.1128/AEM.72.3.2050-2063.2006
Stewart FJ, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-3-r26
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Suzek BE, 2015, BIOINFORMATICS, V31, P926, DOI 10.1093/bioinformatics/btu739
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Takami H, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030559
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tiano L, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105399
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Yoshimatsu K, 2002, FEBS LETT, V516, P145, DOI 10.1016/S0014-5793(02)02524-3
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zhu WH, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq275
NR 76
TC 127
Z9 144
PD AUG 11
PY 2016
VL 536
IS 7615
BP 179
EP +
DI 10.1038/nature19068
UT WOS:000381472100029
DA 2025-07-30
ER
PT J
AU Kraemer, S
Ramachandran, A
Colatriano, D
Lovejoy, C
Walsh, DA
AF Kraemer, Susanne
Ramachandran, Arthi
Colatriano, David
Lovejoy, Connie
Walsh, David A.
TI Diversity and biogeography of SAR11 bacteria from the Arctic Ocean
SO ISME JOURNAL
DT Article
AB The Arctic Ocean is relatively isolated from other oceans and consists of strongly stratified water masses with distinct histories, nutrient, temperature, and salinity characteristics, therefore providing an optimal environment to investigate local adaptation. The globally distributed SAR11 bacterial group consists of multiple ecotypes that are associated with particular marine environments, yet relatively little is known about Arctic SAR11 diversity. Here, we examined SAR11 diversity using ITS analysis and metagenome-assembled genomes (MAGs). Arctic SAR11 assemblages were comprised of the S1a, S1b, S2, and S3 clades, and structured by water mass and depth. The fresher surface layer was dominated by an ecotype (S3-derived P3.2) previously associated with Arctic and brackish water. In contrast, deeper waters of Pacific origin were dominated by the P2.3 ecotype of the S2 clade, within which we identified a novel subdivision (P2.3s1) that was rare outside the Arctic Ocean. Arctic S2-derived SAR11 MAGs were restricted to high latitudes and included MAGs related to the recently defined S2b subclade, a finding consistent with bi-polar ecotypes and Arctic endemism. These results place the stratified Arctic Ocean into the SAR11 global biogeography and have identified SAR11 lineages for future investigation of adaptive evolution in the Arctic Ocean.
C1 [Kraemer, Susanne; Ramachandran, Arthi; Colatriano, David; Walsh, David A.] Concordia Univ, Dept Biol, 7141 Sherbrooke St West, Sherbrooke, PQ H4B 1R6, Canada.
[Lovejoy, Connie] Univ Laval, IBIS, Dept Biol, Quebec City, PQ G1K 7P4, Canada.
[Lovejoy, Connie] Univ Laval, Quebec Ocean, Quebec City, PQ G1K 7P4, Canada.
RP Walsh, DA (corresponding author), Concordia Univ, Dept Biol, 7141 Sherbrooke St West, Sherbrooke, PQ H4B 1R6, Canada.
EM david.walsh@concordia.ca
CR Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Bairoch A, 1999, NUCLEIC ACIDS RES, V27, P49, DOI 10.1093/nar/27.1.49
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Barton AD, 2010, SCIENCE, V327, P1509, DOI 10.1126/science.1184961
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bushnell B., 2014, BBMAP FAST ACCURATE
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Colatriano D, 2018, COMMUN BIOL, V1, DOI 10.1038/s42003-018-0086-7
DELMONT T O., 2017, bioRxiv
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Guéguen C, 2012, DEEP-SEA RES PT II, V81-84, P102, DOI 10.1016/j.dsr2.2011.05.004
Hellweger FL, 2014, SCIENCE, V345, P1346, DOI 10.1126/science.1254421
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Huntemann M, 2016, STAND GENOMIC SCI, V11, DOI 10.1186/s40793-016-0138-x
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Karsenti E, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001177
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirkpatrick M, 1997, AM NAT, V150, P1, DOI 10.1086/286054
Kumar S, 2012, BIOINFORMATICS, V28, P2685, DOI 10.1093/bioinformatics/bts507
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lechner M, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-124
Macdonald RW, 2002, DEEP-SEA RES PT I, V49, P1769, DOI 10.1016/S0967-0637(02)00097-3
McLaughlin FA, 2004, DEEP-SEA RES PT I, V51, P107, DOI 10.1016/j.dsr.2003.09.010
Monier A, 2015, ISME J, V9, P990, DOI 10.1038/ismej.2014.197
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pedrós-Alió C, 2015, PROG OCEANOGR, V139, P233, DOI 10.1016/j.pocean.2015.07.009
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Sackett TE, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00155.1
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Shimada K, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021358
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Thomas MK, 2012, SCIENCE, V338, P1085, DOI 10.1126/science.1224836
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tran P, 2018, ENVIRON MICROBIOL, V20, P2568, DOI 10.1111/1462-2920.14283
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
NR 50
TC 33
Z9 38
PD JAN
PY 2020
VL 14
IS 1
BP 79
EP 90
DI 10.1038/s41396-019-0499-4
UT WOS:000502553200008
DA 2025-07-30
ER
PT S
AU Giovannoni, SJ
AF Giovannoni, Stephen J.
GP Annual Reviews
TI SAR11 Bacteria: The Most Abundant Plankton in the Oceans
SO ANNUAL REVIEW OF MARINE SCIENCE, VOL 9
SE Annual Review of Marine Science
DT Review; Book Chapter
AB SAR11 is a group of small, carbon-oxidizing bacteria that reach a global estimated population size of 2.4x10(28) cells-approximately 25% of all plankton. They are found throughout the oceans but reach their largest numbers in stratified, oligotrophic gyres, which are an expanding habitat in the warming oceans. SAR11 likely had a Precambrian origin and, over geological time, evolved into the niche of harvesting labile, low-molecular-weight dissolved organic matter (DOM). SAR11 cells are minimal in size and complexity, a phenomenon known as streamlining that is thought to benefit them by lowering the material costs of replication and maximizing transport functions that are essential to competition at ultralow nutrient concentrations. One of the surprises in SAR11 metabolism is their ability to both oxidize and produce a variety of volatile organic compounds that can diffuse into the atmosphere. SAR11 cells divide slowly and lack many forms of regulation commonly used by bacterial cells to adjust to changing environmental conditions. As a result of genome reduction, they require an unusual range of nutrients, which leads to complex biochemical interactions with other plankton. The study of SAR11 is providing insight into the biogeochemistry of labile DOM and is affecting microbiology beyond marine science by providing a model for understanding the evolution and function of streamlined cells.
C1 [Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Aluwihare LI, 1997, NATURE, V387, P166, DOI 10.1038/387166a0
Angly FE, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000593
[Anonymous], MICROBIOLOGY EXTREME
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Bamann C, 2014, BBA-BIOENERGETICS, V1837, P614, DOI 10.1016/j.bbabio.2013.09.010
Bosdriesz E, 2015, FEBS J, V282, P2394, DOI 10.1111/febs.13289
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Button DK, 2004, APPL ENVIRON MICROB, V70, P5511, DOI 10.1128/AEM.70.9.5511-5521.2004
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cohan FM, 2007, CURR BIOL, V17, pR373, DOI 10.1016/j.cub.2007.03.032
Cohan FM, 2006, PHILOS T R SOC B, V361, P1985, DOI 10.1098/rstb.2006.1918
Dethlefsen L, 2007, J BACTERIOL, V189, P3237, DOI 10.1128/JB.01686-06
Dixon JL, 2011, BIOGEOSCIENCES, V8, P2707, DOI 10.5194/bg-8-2707-2011
Dixon JL, 2013, GEOPHYS RES LETT, V40, P4700, DOI 10.1002/grl.50922
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Flamholz A, 2013, P NATL ACAD SCI USA, V110, P10039, DOI 10.1073/pnas.1215283110
FLARDH K, 1992, J BACTERIOL, V174, P6780, DOI 10.1128/JB.174.21.6780-6788.1992
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
Hellweger FL, 2014, SCIENCE, V345, P1346, DOI 10.1126/science.1254421
Hug LA, 2016, ENVIRON MICROBIOL, V18, P159, DOI 10.1111/1462-2920.12930
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Kerkhof L, 1999, FEMS MICROBIOL ECOL, V30, P253
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
KRAMER JG, 1992, APPL ENVIRON MICROB, V58, P201, DOI 10.1128/AEM.58.1.201-207.1992
Labrie SJ, 2010, NAT REV MICROBIOL, V8, P317, DOI 10.1038/nrmicro2315
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li GW, 2014, CELL, V157, P624, DOI 10.1016/j.cell.2014.02.033
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Lynch M, 2003, SCIENCE, V302, P1401, DOI 10.1126/science.1089370
Lynch M, 2006, ANNU REV MICROBIOL, V60, P327, DOI 10.1146/annurev.micro.60.080805.142300
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
McRose D, 2014, ISME J, V8, P2517, DOI 10.1038/ismej.2014.146
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
MOPPER K, 1991, NATURE, V353, P60, DOI 10.1038/353060a0
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Ni J, 2016, APPL ECOL ENV RES, V14, P65, DOI 10.15666/aeer/1402_065075
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Paerl RW, 2015, LIMNOL OCEANOGR, V60, P215, DOI 10.1002/lno.10009
PAKULSKI JD, 1994, LIMNOL OCEANOGR, V39, P930, DOI 10.4319/lo.1994.39.4.0930
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paver SF, 2013, ENVIRON MICROBIOL, V15, P2489, DOI 10.1111/1462-2920.12131
Popendorf KJ, 2011, ORG GEOCHEM, V42, P803, DOI 10.1016/j.orggeochem.2011.05.003
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Rich JH, 1996, LIMNOL OCEANOGR, V41, P595, DOI 10.4319/lo.1996.41.4.0595
Romanova ND, 2010, OCEANOLOGY+, V50, P522, DOI 10.1134/S0001437010040089
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Skoog A, 1999, LIMNOL OCEANOGR, V44, P1625, DOI 10.4319/lo.1999.44.7.1625
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steglich C, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000173
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Taylor JD, 2014, ISME J, V8, P245, DOI 10.1038/ismej.2013.178
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Våge S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101415
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vieira-Silva S, 2010, TRENDS ECOL EVOL, V25, P319, DOI 10.1016/j.tree.2010.03.001
Vieira-Silva S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000808
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Wang LR, 2011, P NATL ACAD SCI USA, V108, P2963, DOI 10.1073/pnas.1017261108
Wang Z, 2015, SCI REP-UK, V5, DOI 10.1038/srep07949
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wrighton KC, 2012, SCIENCE, V337, P1661, DOI 10.1126/science.1224041
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zubkov MV, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8878
NR 117
TC 356
Z9 391
PY 2017
VL 9
BP 231
EP 255
DI 10.1146/annurev-marine-010814-015934
UT WOS:000400926700011
HC Y
HP N
DA 2025-07-30
ER
PT J
AU Carini, P
Campbell, EO
Morre, J
Sanudo-Wilhelmy, SA
Thrash, JC
Bennett, SE
Temperton, B
Begley, T
Giovannoni, SJ
AF Carini, Paul
Campbell, Emily O.
Morre, Jeff
Sanudo-Wilhelmy, Sergio A.
Thrash, J. Cameron
Bennett, Samuel E.
Temperton, Ben
Begley, Tadhg
Giovannoni, Stephen J.
TI Discovery of a SAR11 growth requirement for thiamin's pyrimidine
precursor and its distribution in the Sargasso Sea
SO ISME JOURNAL
DT Article
AB Vitamin traffic, the production of organic growth factors by some microbial community members and their use by other taxa, is being scrutinized as a potential explanation for the variation and highly connected behavior observed in ocean plankton by community network analysis. Thiamin (vitamin B-1), a cofactor in many essential biochemical reactions that modify carbon-carbon bonds of organic compounds, is distributed in complex patterns at subpicomolar concentrations in the marine surface layer (0-300 m). Sequenced genomes from organisms belonging to the abundant and ubiquitous SAR11 clade of marine chemoheterotrophic bacteria contain genes coding for a complete thiamin biosynthetic pathway, except for thiC, encoding the 4-amino-5-hydroxymethyl-2-methylpyrimidine (HMP) synthase, which is required for de novo synthesis of thiamin's pyrimidine moiety. Here we demonstrate that the SAR11 isolate 'Candidatus Pelagibacter ubique', strain HTCC1062, is auxotrophic for the thiamin precursor HMP, and cannot use exogenous thiamin for growth. In culture, strain HTCC1062 required 0.7 zeptomoles per cell (ca. 400 HMP molecules per cell). Measurements of dissolved HMP in the Sargasso Sea surface layer showed that HMP ranged from undetectable (detection limit: 2.4 pM) to 35.7 pM, with maximum concentrations coincident with the deep chlorophyll maximum. In culture, some marine cyanobacteria, microalgae and bacteria exuded HMP, and in the Western Sargasso Sea, HMP profiles changed between the morning and evening, suggesting a dynamic biological flux from producers to consumers.
C1 [Carini, Paul; Campbell, Emily O.; Thrash, J. Cameron; Temperton, Ben; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Morre, Jeff] Oregon State Univ, Dept Chem, Corvallis, OR 97331 USA.
[Sanudo-Wilhelmy, Sergio A.] Univ So Calif, Dept Biol Sci Marine Environm Biol & Earth, Los Angeles, CA USA.
[Bennett, Samuel E.] Oregon State Univ, Dept Environm & Mol Toxicol, Corvallis, OR 97331 USA.
[Begley, Tadhg] Texas A&M Univ, Dept Chem, College Stn, TX 77843 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
[Anonymous], 2006, Eos, Transactions American Geophysical Union, DOI DOI 10.1029/2006EO520001
Barada LP, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00025
Bertrand EM, 2007, LIMNOL OCEANOGR, V52, P1079, DOI 10.4319/lo.2007.52.3.1079
Bertrand EM, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00375
Bertrand EM, 2012, P NATL ACAD SCI USA, V109, pE1762, DOI 10.1073/pnas.1201731109
Brown MR, 1999, J APPL PHYCOL, V11, P247, DOI 10.1023/A:1008075903578
BUTTON DK, 1968, APPL MICROBIOL, V16, P530, DOI 10.1128/AEM.16.3.530-531.1968
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CARLUCCI A F, 1970, Journal of Phycology, V6, P351, DOI 10.1111/j.1529-8817.1970.tb02406.x
CARLUCCI A F, 1970, Journal of Phycology, V6, P393, DOI 10.1111/j.0022-3646.1970.00393.x
CARLUCCI AF, 1972, J PHYCOL, V8, P133, DOI 10.1111/j.1529-8817.1972.tb01551.x
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Croft MT, 2007, P NATL ACAD SCI USA, V104, P20770, DOI 10.1073/pnas.0705786105
Croft MT, 2006, EUKARYOT CELL, V5, P1175, DOI 10.1128/EC.00097-06
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
DOWNS DM, 1992, J BACTERIOL, V174, P1515, DOI 10.1128/jb.174.5.1515-1521.1992
Droop M.R., 1962, Physiology and Biochemistry of Algae, P141
DROOP MR, 1958, J MAR BIOL ASSOC UK, V37, P323, DOI 10.1017/S0025315400023729
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
GOLD K, 1966, LIMNOL OCEANOGR, V11, P410, DOI 10.4319/lo.1966.11.3.0410
GOLD K, 1968, LIMNOL OCEANOGR, V13, P185, DOI 10.4319/lo.1968.13.1.0185
Helliwell KE, 2013, TRENDS GENET, V29, P469, DOI 10.1016/j.tig.2013.03.003
Jenkins AH, 2007, NAT CHEM BIOL, V3, P492, DOI 10.1038/nchembio.2007.13
Jurgenson CT, 2009, ANNU REV BIOCHEM, V78, P569, DOI 10.1146/annurev.biochem.78.072407.102340
Karunakaran R, 2006, J BACTERIOL, V188, P6661, DOI 10.1128/JB.00641-06
Koch F, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00363
Lengeler JW, 1999, BIOL PROKARYOTES
Machlin L.J., 1984, Handbook of Vitamins: Nutritional, Biochemical and Clinical Aspects
Martinez-Gomez NC, 2008, BIOCHEMISTRY-US, V47, P9054, DOI 10.1021/bi8010253
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
Morel FMM, 2003, SCIENCE, V300, P944, DOI 10.1126/science.1083545
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NATARAJAN KV, 1968, APPL MICROBIOL, V16, P366, DOI 10.1128/AEM.16.2.366-369.1968
NATARAJAN KV, 1970, LIMNOL OCEANOGR, V15, P655, DOI 10.4319/lo.1970.15.4.0655
NATARAJAN KV, 1966, LIMNOL OCEANOGR, V11, P621, DOI 10.4319/lo.1966.11.4.0621
NORMAN SM, 1981, APPL ENVIRON MICROB, V41, P334, DOI 10.1128/AEM.41.1.334-336.1981
Okumura K., 1961, J VITAMINOL KYOTO, V24, P158
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Reddick JJ, 2001, BIOCHEMISTRY-US, V40, P10095, DOI 10.1021/bi010267q
Rippka R, 2000, INT J SYST EVOL MICR, V50, P1833, DOI 10.1099/00207713-50-5-1833
Robbertse B, 2011, PLOS CURR-TREE LIFE, DOI 10.1371/currents.RRN1213
Rodionov DA, 2002, J BIOL CHEM, V277, P48949, DOI 10.1074/jbc.M208965200
Rodionov DA, 2009, J BACTERIOL, V191, P42, DOI 10.1128/JB.01208-08
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Schauer K, 2009, J BACTERIOL, V191, P2218, DOI 10.1128/JB.01636-08
Sharpton TJ, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-264
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Uenishi K, 2008, J NUTR SCI VITAMINOL, V54, P25, DOI [10.3177/jnsv.54.25, 10.3177/jnsv.54.7]
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
Webb E, 1998, J BIOL CHEM, V273, P8946, DOI 10.1074/jbc.273.15.8946
Wightman R, 2003, MICROBIOL-SGM, V149, P1447, DOI 10.1099/mic.0.26194-0
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Winkler W, 2002, NATURE, V419, P952, DOI 10.1038/nature01145
Winkler WC, 2005, ANNU REV MICROBIOL, V59, P487, DOI 10.1146/annurev.micro.59.030804.121336
Worden AZ, 2009, SCIENCE, V324, P268, DOI 10.1126/science.1167222
Wrenger C, 2006, BIOL CHEM, V387, P41, DOI 10.1515/BC.2006.007
Wu H, 2005, APPL ENVIRON MICROB, V71, P6845, DOI 10.1128/AEM.71.11.6845-6855.2005
Zhao L, 2012, ORG PROCESS RES DEV, V16, P57, DOI 10.1021/op2002003
NR 70
TC 99
Z9 113
PD AUG
PY 2014
VL 8
IS 8
BP 1727
EP 1738
DI 10.1038/ismej.2014.61
UT WOS:000340029800016
DA 2025-07-30
ER
PT J
AU Sowell, SM
Norbeck, AD
Lipton, MS
Nicora, CD
Callister, SJ
Smith, RD
Barofsky, DF
Giovannoni, SJ
AF Sowell, Sarah M.
Norbeck, Angela D.
Lipton, Mary S.
Nicora, Carrie D.
Callister, Stephen J.
Smith, Richard D.
Barofsky, Douglas F.
Giovannoni, Stephen J.
TI Proteomic analysis of stationary phase in the marine bacterium
"Candidatus Pelagibacter ubique"
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB "Candidatus Pelagibacter ubique," an abundant marine alphaproteobacterium, subsists in nature at low ambient nutrient concentrations and may often be exposed to nutrient limitation, but its genome reveals no evidence of global regulatory mechanisms for adaptation to stationary phase. High-resolution capillary liquid chromatography coupled online to an LTQ mass spectrometer was used to build an accurate mass and time (AMT) tag library that enabled quantitative examination of proteomic differences between exponential- and stationary-phase "Ca. Pelagibacter ubique" cells cultivated in a seawater medium. The AMT tag library represented 65% of the predicted protein-encoding genes. "Ca. Pelagibacter ubique" appears to respond adaptively to stationary phase by increasing the abundance of a suite of proteins that contribute to homeostasis rather than undergoing a major remodeling of its proteome. Stationary-phase abundances increased significantly for OsmC and thioredoxin reductase, which may mitigate oxidative damage in "Ca. Pelagibacter," as well as for molecular chaperones, enzymes involved in methionine and cysteine biosynthesis, proteins involved in p-dependent transcription termination, and the signal transduction enzyme CheY-FisH. We speculate that this limited response may enable "Ca. Pelagibacter ubique" to cope with ambient conditions that deprive it of nutrients for short periods and, furthermore, that the ability to resume growth overrides the need for a more comprehensive global stationary-phase response to create a capacity for long-term survival.
C1 [Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Sowell, Sarah M.] Oregon State Univ, Mol & Cellular Biol Program, Corvallis, OR 97331 USA.
[Norbeck, Angela D.; Lipton, Mary S.; Nicora, Carrie D.; Callister, Stephen J.; Smith, Richard D.] Pacific NW Natl Lab, Richland, WA 99352 USA.
[Barofsky, Douglas F.] Oregon State Univ, Dept Chem, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Adkins JN, 2006, MOL CELL PROTEOMICS, V5, P1450, DOI 10.1074/mcp.M600139-MCP200
Alvarez-Martinez CE, 2006, J BACTERIOL, V188, P1835, DOI 10.1128/JB.188.5.1835-1846.2006
Atichartpongkul S, 2001, MICROBIOL-SGM, V147, P1775, DOI 10.1099/00221287-147-7-1775
Callister SJ, 2006, J PROTEOME RES, V5, P277, DOI 10.1021/pr050300l
Callister SJ, 2006, J PROTEOME RES, V5, P1940, DOI 10.1021/pr060050o
Chaiyanan S, 2007, ENVIRON MICROBIOL, V9, P393, DOI 10.1111/j.1462-2920.2006.01150.x
Chan PF, 1998, J BACTERIOL, V180, P6082
Clark ME, 2006, APPL ENVIRON MICROB, V72, P5578, DOI 10.1128/AEM.00284-06
COLWELL RR, 1985, BIO-TECHNOL, V3, P817, DOI 10.1038/nbt0985-817
Davis H. C., 1958, Fishery Bulletin United States, V58, P293
Doneanu CE, 2001, J AM SOC MASS SPECTR, V12, P1205, DOI 10.1016/S1044-0305(01)00307-5
Duwat P, 2000, INT J FOOD MICROBIOL, V55, P83, DOI 10.1016/S0168-1605(00)00179-3
Foster JS, 2007, ARCH MICROBIOL, V187, P265, DOI 10.1007/s00203-006-0193-6
Foucaud-Scheunemann C, 2003, FEMS MICROBIOL LETT, V224, P53, DOI 10.1016/S0378-1097(03)00419-1
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gon S, 2006, ANTIOXID REDOX SIGN, V8, P773, DOI 10.1089/ars.2006.8.773
Gordia S, 1996, MOL MICROBIOL, V19, P729, DOI 10.1046/j.1365-2958.1996.418945.x
Grinberg I, 2006, J BACTERIOL, V188, P7635, DOI 10.1128/JB.00903-06
Harinarayanan R, 2003, J MOL BIOL, V332, P31, DOI 10.1016/S0022-2836(03)00753-8
Herrick J, 2007, MOL MICROBIOL, V63, P22, DOI 10.1111/j.1365-2958.2006.05493.x
Keller A, 2002, ANAL CHEM, V74, P5383, DOI 10.1021/ac025747h
Kelly AF, 2001, APPL ENVIRON MICROB, V67, P2248, DOI 10.1128/AEM.67.5.2248-2254.2001
Kelly RT, 2006, ANAL CHEM, V78, P7796, DOI 10.1021/ac061133r
Kohler C, 2005, INT J MED MICROBIOL, V295, P547, DOI 10.1016/j.ijmm.2005.08.002
Lazar SW, 1996, J BACTERIOL, V178, P1770, DOI 10.1128/jb.178.6.1770-1773.1996
Lesniak J, 2003, PROTEIN SCI, V12, P2838, DOI 10.1110/ps.03375603
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mouery K, 2006, J BACTERIOL, V188, P5494, DOI 10.1128/JB.00366-06
Mukherjee R, 2005, BIOCHEM BIOPH RES CO, V338, P964, DOI 10.1016/j.bbrc.2005.10.038
Nordlund N, 2006, ANNU REV BIOCHEM, V75, P681, DOI 10.1146/annurev.biochem.75.103004.142443
Petritis K, 2003, ANAL CHEM, V75, P1039, DOI 10.1021/ac0205154
Phillips ZEV, 2002, CELL MOL LIFE SCI, V59, P392, DOI 10.1007/s00018-002-8431-9
Quackenbush J, 2002, NAT GENET, V32, P496, DOI 10.1038/ng1032
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodionov DA, 2005, TRENDS GENET, V21, P385, DOI 10.1016/j.tig.2005.05.011
Roy F, 2006, MICROBIOL-SGM, V152, P3391, DOI 10.1099/mic.0.29147-0
Seong IS, 2000, FEBS LETT, V477, P224, DOI 10.1016/S0014-5793(00)01808-1
Seong IS, 1999, FEBS LETT, V456, P211, DOI 10.1016/S0014-5793(99)00935-7
Smith RD, 2002, PROTEOMICS, V2, P513, DOI 10.1002/1615-9861(200205)2:5<513::AID-PROT513>3.0.CO;2-W
Spiess C, 1999, CELL, V97, P339, DOI 10.1016/S0092-8674(00)80743-6
Strittmatter EF, 2004, J PROTEOME RES, V3, P760, DOI 10.1021/pr049965y
SUN L, 1992, MOL BIOL CELL, V3, P1095, DOI 10.1091/mbc.3.10.1095
Takemoto T, 1998, FREE RADICAL BIO MED, V24, P556, DOI 10.1016/S0891-5849(97)00287-6
TORMO A, 1990, J BACTERIOL, V172, P4339, DOI 10.1128/jb.172.8.4339-4347.1990
Torrents E, 2005, J BIOL CHEM, V280, P16571, DOI 10.1074/jbc.M501322200
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Viswanathan P, 2006, J BACTERIOL, V188, P3246, DOI 10.1128/JB.188.9.3246-3256.2006
Washburn MP, 2001, NAT BIOTECHNOL, V19, P242, DOI 10.1038/85686
WAWRZYNOW A, 1995, EMBO J, V14, P1867, DOI 10.1002/j.1460-2075.1995.tb07179.x
Zhang B, 2006, J PROTEOME RES, V5, P2909, DOI 10.1021/pr0600273
Zimmer JSD, 2006, MASS SPECTROM REV, V25, P450, DOI 10.1002/mas.20071
Zinser ER, 2004, RES MICROBIOL, V155, P328, DOI 10.1016/j.resmic.2004.01.014
NR 53
TC 61
Z9 69
PD JUL
PY 2008
VL 74
IS 13
BP 4091
EP 4100
DI 10.1128/AEM.00599-08
UT WOS:000257446900020
DA 2025-07-30
ER
PT J
AU Mary, I
Heywood, JL
Fuchs, BM
Amann, R
Tarran, GA
Burkill, PH
Zubkov, MV
AF Mary, I.
Heywood, J. L.
Fuchs, B. M.
Amann, R.
Tarran, G. A.
Burkill, P. H.
Zubkov, M. V.
TI SAR11 dominance among metabolically active low nucleic acid
bacterioplankton in surface waters along an Atlantic meridional transect
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Low nucleic acid (LNA) bacterioplankton (sorted by flow cytometry) were characterised in surface water samples along a mericlional transect from 48 degrees N to 40 degrees S across the Atlantic Ocean. The LNA bacterioplankton abundance and metabolic activity, assessed by their S-35-methionine uptake rate, were similar along the transect, representing 36 +/- 6 and 36 +/- 11 % of total bacterioplankton, respectively. Fluorescence in situ hybridisation analysis of the flow-sorted cells revealed that the LNA bacterioplankton population was dominated (59 4 %) by and contained virtually all the identifiable SAR11 clade cells throughout the Atlantic Ocean. Therefore, the present study provides ecological characterisation of this flow-sorted group and suggests both phylogenetic and functional constancy of the LNA bacterioplankton at the basin-scale.
C1 Univ Southampton, Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
Max Planck Inst Marine Microbiol, D-28359 Bremen, Germany.
Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
RP Zubkov, MV (corresponding author), Univ Southampton, Natl Oceanog Ctr, Waterfront Campus,European Way, Southampton SO14 3ZH, Hants, England.
EM mvz@noc.soton.ac.uk
CR AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
Belkin IM, 1996, J GEOPHYS RES-OCEANS, V101, P3675, DOI 10.1029/95JC02750
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glockner FO, 1996, SYST APPL MICROBIOL, V19, P403
Heywood JL, 2006, DEEP-SEA RES PT II, V53, P1530, DOI 10.1016/j.dsr2.2006.05.005
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Li WKW, 1995, LIMNOL OCEANOGR, V40, P1485, DOI 10.4319/lo.1995.40.8.1485
Malik M, 2004, MIDDLE EAST POLICY, V11, P70, DOI 10.1111/j.1061-1924.2004.00142.x
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NEEF A, 1997, THESIS TU MUNICH
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A, 2004, APPL ENVIRON MICROB, V70, P5426, DOI 10.1128/AEM.70.9.5426-5433.2004
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
ROLLER C, 1994, MICROBIOL-UK, V140, P2849, DOI 10.1099/00221287-140-10-2849
Tarran GA, 2006, DEEP-SEA RES PT II, V53, P1516, DOI 10.1016/j.dsr2.2006.05.004
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2005, AQUAT MICROB ECOL, V40, P241, DOI 10.3354/ame040241
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 31
TC 88
Z9 94
PD NOV 24
PY 2006
VL 45
IS 2
BP 107
EP 113
DI 10.3354/ame045107
UT WOS:000243038700002
DA 2025-07-30
ER
PT J
AU Carini, P
Steindler, L
Beszteri, S
Giovannoni, SJ
AF Carini, Paul
Steindler, Laura
Beszteri, Sara
Giovannoni, Stephen J.
TI Nutrient requirements for growth of the extreme oligotroph
'Candidatus Pelagibacter ubique' HTCC1062 on a defined medium
SO ISME JOURNAL
DT Article
AB Chemoheterotrophic marine bacteria of the SAR11 clade are Earth's most abundant organisms. Following the first cultivation of a SAR11 bacterium, 'Candidatus Pelagibacter ubique' strain HTCC1062 (Ca. P. ubique) in 2002, unusual nutritional requirements were identified for reduced sulfur compounds and glycine or serine. These requirements were linked to genome streamlining resulting from selection for efficient resource utilization in nutrient-limited ocean habitats. Here we report the first successful cultivation of Ca. P. ubique on a defined artificial seawater medium (AMS1), and an additional requirement for pyruvate or pyruvate precursors. Optimal growth was observed with the collective addition of inorganic macro-and micronutrients, vitamins, methionine, glycine and pyruvate. Methionine served as the sole sulfur source but methionine and glycine were not sufficient to support growth. Optimal cell yields were obtained when the stoichiometry between glycine and pyruvate was 1: 4, and incomplete cell division was observed in cultures starved for pyruvate. Glucose and oxaloacetate could fully replace pyruvate, but not acetate, taurine or a variety of tricarboxylic acid cycle intermediates. Moreover, both glycine betaine and serine could substitute for glycine. Interestingly, glycolate partially restored growth in the absence of glycine. We propose that this is the result of the use of glycolate, a product of phytoplankton metabolism, as both a carbon source for respiration and as a precursor to glycine. These findings are important because they provide support for the hypothesis that some micro-organisms are challenging to cultivate because of unusual nutrient requirements caused by streamlining selection and gene loss. Our findings also illustrate unusual metabolic rearrangements that adapt these cells to extreme oligotrophy, and underscore the challenge of reconstructing metabolism from genome sequences in organisms that have non-canonical metabolic pathways. The ISME Journal (2013) 7, 592-602; doi:10.1038/ismej.2012.122; published online 25 October 2012
C1 [Carini, Paul; Steindler, Laura; Beszteri, Sara; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR BELLION E, 1987, BIOCHEM J, V244, P565, DOI 10.1042/bj2440565
Bertilsson S, 2005, VIE MILIEU, V55, P225
CABALLERO FJ, 1989, J BACTERIOL, V171, P3205, DOI 10.1128/jb.171.6.3205-3210.1989
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Dunne JA, 2002, ECOL LETT, V5, P558, DOI 10.1046/j.1461-0248.2002.00354.x
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gage DA, 1997, NATURE, V387, P891, DOI 10.1038/43160
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
HUXTABLE RJ, 1992, PHYSIOL REV, V72, P101, DOI 10.1152/physrev.1992.72.1.101
Keller MD, 1999, MAR BIOL, V135, P237, DOI 10.1007/s002270050621
KIEBER DJ, 1989, NATURE, V341, P637, DOI 10.1038/341637a0
KIEBER DJ, 1987, MAR CHEM, V21, P135, DOI 10.1016/0304-4203(87)90034-X
Kiene RP, 1998, LIMNOL OCEANOGR, V43, P1592, DOI 10.4319/lo.1998.43.7.1592
LEBOULANGER C, 1994, J PLANKTON RES, V16, P897, DOI 10.1093/plankt/16.7.897
Leboulanger C, 1998, J PHYCOL, V34, P651, DOI 10.1046/j.1529-8817.1998.340651.x
Leboulanger C, 1997, DEEP-SEA RES PT I, V44, P2131, DOI 10.1016/S0967-0637(97)00090-3
Lynch M, 2003, SCIENCE, V302, P1401, DOI 10.1126/science.1089370
MENGINLECREULX D, 1982, J BACTERIOL, V151, P1109, DOI 10.1128/JB.151.3.1109-1117.1982
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
MOPPER K, 1991, NATURE, V353, P60, DOI 10.1038/353060a0
Moran MA, 1997, LIMNOL OCEANOGR, V42, P1307, DOI 10.4319/lo.1997.42.6.1307
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NEIDHARDT FC, 1974, J BACTERIOL, V119, P736, DOI 10.1128/JB.119.3.736-747.1974
NORTEMANN B, 1992, APPL ENVIRON MICROB, V58, P671
Obernosterer I, 1999, AQUAT MICROB ECOL, V20, P147, DOI 10.3354/ame020147
Parker MS, 2004, J PHYCOL, V40, P557, DOI 10.1111/j.1529-8817.2004.03184.x
Pellicer MT, 1996, J BACTERIOL, V178, P2051, DOI 10.1128/jb.178.7.2051-2059.1996
Pellicer MT, 1999, J BIOL CHEM, V274, P1745, DOI 10.1074/jbc.274.3.1745
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Renesto P, 2003, LANCET, V362, P447, DOI 10.1016/S0140-6736(03)14071-8
Santoro AE, 2011, ISME J, V5, P1796, DOI 10.1038/ismej.2011.58
Schut F, 1997, AQUAT MICROB ECOL, V12, P177, DOI 10.3354/ame012177
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
WIENTJES FB, 1989, J BACTERIOL, V171, P3412, DOI 10.1128/jb.171.6.3412-3419.1989
Williams TJ, 2009, ISME J, V3, P1036, DOI 10.1038/ismej.2009.52
ZIGLER JS, 1985, IN VITRO CELL DEV B, V21, P282
NR 48
TC 174
Z9 193
PD MAR
PY 2013
VL 7
IS 3
BP 592
EP 602
DI 10.1038/ismej.2012.122
UT WOS:000316726400015
DA 2025-07-30
ER
PT J
AU Rappé, MS
Connon, SA
Vergin, KL
Giovannoni, SJ
AF Rappé, MS
Connon, SA
Vergin, KL
Giovannoni, SJ
TI Cultivation of the ubiquitous SAR11 marine bacterioplankton clade
SO NATURE
DT Article
AB The alpha-proteobacterial lineage that contains SAR11 and related ribosomal RNA gene clones was among the first groups of organisms to be identified when cultivation-independent approaches based on rRNA gene cloning and sequencing were applied to survey microbial diversity in natural ecosystems(1). This group accounts for 26% of all ribosomal RNA genes that have been identified in sea water and has been found in nearly every pelagic marine bacterioplankton community studied by these methods(2). The SAR11 clade represents a pervasive problem in microbiology: despite its ubiquity, it has defied cultivation efforts. Genetic evidence suggests that diverse uncultivated microbial taxa dominate most natural ecosystems(3-5), which has prompted widespread efforts to elucidate the geochemical activities of these organisms without the benefit of cultures for study(6,7). Here we report the isolation of representatives of the SAR11 clade. Eighteen cultures were initially obtained by means of high-throughput procedures for isolating cell cultures through the dilution of natural microbial communities into very low nutrient media. Eleven of these cultures have been successfully passaged and cryopreserved for future study. The volume of these cells, about 0.01 mum(3), places them among the smallest free-living cells in culture.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
CR AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Davis H. C., 1958, Fishery Bulletin United States, V58, P293
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P720, DOI 10.1128/jb.170.2.720-726.1988
Glockner FO, 1996, SYST APPL MICROBIOL, V19, P403
HICKS RE, 1992, APPL ENVIRON MICROB, V58, P2158, DOI 10.1128/AEM.58.7.2158-2163.1992
Hugenholtz P, 1998, J BACTERIOL, V180, P4765, DOI 10.1128/JB.180.18.4765-4774.1998
Ludwig W, 1998, ELECTROPHORESIS, V19, P554, DOI 10.1002/elps.1150190416
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rochelle P.A., 1995, NUCL ACIDS ENV METHO, P219
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
SWOFFORD D, 2000, PAUL ASTERISQUE 4 0
WARD DM, 1992, ADV MICROB ECOL, V12, P219
Yager PL, 2001, LIMNOL OCEANOGR, V46, P790, DOI 10.4319/lo.2001.46.4.0790
NR 27
TC 717
Z9 835
PD AUG 8
PY 2002
VL 418
IS 6898
BP 630
EP 633
DI 10.1038/nature00917
UT WOS:000177305600040
DA 2025-07-30
ER
PT J
AU Martinez-Hernandez, F
Luo, E
Tominaga, K
Ogata, H
Yoshida, T
DeLong, EF
Martinez-Garcia, M
AF Martinez-Hernandez, Francisco
Luo, Elaine
Tominaga, Kento
Ogata, Hiroyuki
Yoshida, Takashi
DeLong, Edward F.
Martinez-Garcia, Manuel
TI Diel cycling of the cosmopolitan abundant Pelagibacter virus 37-F6: one
of the most abundant viruses on earth
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB The spatiotemporal dynamics for marine viral populations has only recently been explored. However, nothing is known about temporal activities of the uncultured Pelagibacter virus vSAG 37-F6, which was discovered by single-virus genomics as potentially the most abundant marine virus. Here, we investigate the diel cycling of 37-F6 virus and the putative SAR11 host using coastal and oceanic transcriptomic and viromic time-series data from Osaka Bay and North Pacific Subtropical Gyre. Virus 37-F6 and relatives displayed diel cycling of transcriptional activities synchronized with its putative host. In both virus and host, the lowest transcription rates were observed at 14:00-15:00, coinciding roughly with maximum solar irradiance, while higher transcriptional rates were detected during the night/early morning and afternoon. Diel abundance of free viruses of 37-F6 in seawater roughly mirrored the transcriptional activities of both virus and host. In Osaka Bay, among viral relatives (genus level), virus 37-F6 specifically showed the highest ratio of transcriptional activity to virome abundance, a proxy for viral transcriptional activity relative to free viral particle abundance. This high ratio suggests high infection rate efficiencies in vSAG 37-F6 virus compared to viral relatives. Thus, time-series data revealed temporal transcript activities in one of the most abundant viruses in Earth.
C1 [Martinez-Hernandez, Francisco; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
[Luo, Elaine; DeLong, Edward F.] Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
[Tominaga, Kento; Yoshida, Takashi] Kyoto Univ, Grad Sch Agr, Sakyo Ku, Kyoto 6068502, Japan.
[Ogata, Hiroyuki] Kyoto Univ, Inst Chem Res, Uji 6110011, Japan.
RP Martinez-Garcia, M (corresponding author), Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
EM m.martinez@ua.es
CR Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
Aylward FO, 2017, P NATL ACAD SCI USA, V114, P11446, DOI 10.1073/pnas.1714821114
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Brum JR, 2015, NAT REV MICROBIOL, V13, P147, DOI 10.1038/nrmicro3404
Danovaro R, 2011, FEMS MICROBIOL REV, V35, P993, DOI 10.1111/j.1574-6976.2010.00258.x
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Kimura S, 2012, APPL ENVIRON MICROB, V78, P5805, DOI 10.1128/AEM.00571-12
Lara E, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602565
Martinez-Hernandez F, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01226
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
McMullen A, 2019, ENV MICROBIOL REP, V11, P855, DOI 10.1111/1758-2229.12804
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Moniruzzaman M, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms16054
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ozaki K, 2004, FISH OCEANOGR, V13, P65, DOI 10.1046/j.1365-2419.2003.00274.x
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Roux S, 2019, NAT BIOTECHNOL, V37, P29, DOI 10.1038/nbt.4306
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Ruiz-González C, 2012, LIMNOL OCEANOGR, V57, P29, DOI 10.4319/lo.2012.57.1.0029
Simmonds P, 2017, NAT REV MICROBIOL, V15, P161, DOI 10.1038/nrmicro.2016.177
Stough JMA, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01124-18
Yoshida T, 2018, ISME J, V12, P1287, DOI 10.1038/s41396-018-0052-x
NR 23
TC 7
Z9 7
PD APR
PY 2020
VL 12
IS 2
BP 214
EP 219
DI 10.1111/1758-2229.12825
EA FEB 2020
UT WOS:000511405400001
DA 2025-07-30
ER
PT J
AU Brennan, E
Noell, S
Davis, EW II
Giovannoni, SJ
Suffridge, CP
AF Brennan, Elizabeth
Noell, Stephen
Davis II, Edward W.
Giovannoni, Stephen J.
Suffridge, Christopher P.
TI Whole cell affinity for 4-amino-5-hydroxymethyl-2-methylpyrimidine (HMP)
in the marine bacterium Candidatus Pelagibacter st. HTCC7211
explains marine dissolved HMP concentrations
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Vitamin B1 is a universally required coenzyme in carbon metabolism. However, most marine microorganisms lack the complete biosynthetic pathway for this compound and must acquire thiamin, or precursor molecules, from the dissolved pool. The most common version of Vitamin B1 auxotrophy is for thiamin's pyrimidine precursor moiety, 4-amino-5-hydroxymethyl-2-methylpyrimidine (HMP). Frequent HMP auxotrophy in plankton and vanishingly low dissolved concentrations (approximately 0.1-50 pM) suggest that high-affinity HMP uptake systems are responsible for maintaining low ambient HMP concentrations. We used tritium-labelled HMP to investigate HMP uptake mechanisms and kinetics in cell cultures of Candidatus Pelagibacter st. HTCC7211, a representative of the globally distributed and highly abundant SAR11 clade. A single protein, the sodium solute symporter ThiV, which is conserved across SAR11 genomes, is the likely candidate for HMP transport. Experimental evidence indicated transport specificity for HMP and mechanistically complex, high-affinity HMP uptake kinetics. Km values ranged from 9.5 pM to 1.2 nM and were dramatically lower when cells were supplied with a carbon source. These results suggest that HMP uptake in HTCC7211 is subject to complex regulation and point to a strategy for high-affinity uptake of this essential growth factor that can explain natural HMP levels in seawater.
C1 [Brennan, Elizabeth; Giovannoni, Stephen J.; Suffridge, Christopher P.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Noell, Stephen] Univ Waikato, Te Aka Matuatua Sch Sci, Thermophile Res Unit, Hamilton, New Zealand.
[Davis II, Edward W.] Oregon State Univ, Ctr Quantitat & Life Sci, Corvallis, OR USA.
RP Giovannoni, SJ; Suffridge, CP (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu; suffridc@oregonstate.edu
CR Atilho RM, 2019, ELIFE, V8, DOI 10.7554/eLife.45210
Bateman A, 2023, NUCLEIC ACIDS RES, V51, pD523, DOI 10.1093/nar/gkac1052
Beaudoin GAW, 2018, BIOSCIENCE REP, V38, DOI 10.1042/BSR20180048
Begley TP, 1999, ARCH MICROBIOL, V171, P293, DOI 10.1007/s002030050713
Bittner MJ, 2024, ISME COMMUN, V4, DOI 10.1093/ismeco/ycad016
BRADBEER C, 1971, ARCH BIOCHEM BIOPHYS, V144, P184, DOI 10.1016/0003-9861(71)90467-X
BRADBEER C, 1976, J BACTERIOL, V128, P99, DOI 10.1128/JB.128.1.99-104.1976
Bruns S, 2023, MAR CHEM, V256, DOI 10.1016/j.marchem.2023.104300
Bruns S, 2022, ANAL BIOANAL CHEM, V414, P7839, DOI 10.1007/s00216-022-04317-8
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
CARLUCCI A F, 1970, Journal of Phycology, V6, P351, DOI 10.1111/j.1529-8817.1970.tb02406.x
Chatterjee A, 2010, ANGEW CHEM INT EDIT, V49, P8653, DOI 10.1002/anie.201003419
Clifton B.E., 2023, bioRxiv
Cooper LE, 2014, BIOCHEMISTRY-US, V53, P2215, DOI 10.1021/bi500281a
Dong RZ, 2018, BIOINFORMATICS, V34, P1719, DOI 10.1093/bioinformatics/btx828
Donovan PD, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007429
Garavito MF, 2015, J GENET GENOMICS, V42, P195, DOI 10.1016/j.jgg.2015.04.004
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
GRECO WR, 1979, J BIOL CHEM, V254, P2104
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Gutowska MA, 2017, MBIO, V8, DOI [10.1128/mBio.01459-17, 10.1128/mbio.01459-17]
HAUGHTON BG, 1958, BIOCHEM J, V70, P660, DOI 10.1042/bj0700660
Henriquez T, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms22041880
Hernández-Plaza A, 2023, NUCLEIC ACIDS RES, V51, pD389, DOI 10.1093/nar/gkac1022
HUTNER SH, 1964, ANN REV PLANT PHYSIO, V15, P37
Jurgenson CT, 2009, ANNU REV BIOCHEM, V78, P569, DOI 10.1146/annurev.biochem.78.072407.102340
Kraft CE, 2017, Q REV BIOL, V92, P151, DOI 10.1086/692168
L'Annunziata MF, 2020, HANDBOOK OF RADIOACTIVITY ANALYSIS: VOL 1: RADIATION PHYSICS AND DETECTORS, 4TH EDITION, P575, DOI 10.1016/B978-0-12-814397-1.00006-6
Llavero-Pasquina M, 2022, NEW PHYTOL, V235, P1853, DOI 10.1111/nph.18296
McRose D, 2014, ISME J, V8, P2517, DOI 10.1038/ismej.2014.146
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
Monteverde DR, 2017, GEOBIOLOGY, V15, P3, DOI 10.1111/gbi.12202
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Noell SE, 2023, MICROBIOL MOL BIOL R, V87, DOI 10.1128/mmbr.00124-22
Noell SE, 2021, MBIO, V12, DOI 10.1128/mBio.01091-21
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Paerl RW, 2015, LIMNOL OCEANOGR, V60, P215, DOI 10.1002/lno.10009
Paerl RW, 2018, P NATL ACAD SCI USA, V115, pE10447, DOI 10.1073/pnas.1806425115
Paerl RW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24321-2
Provasoli L., 1974, Vitamins and Growth Regulators
Rapala-Kozik M, 2011, ADV BOT RES, V58, P37, DOI 10.1016/B978-0-12-386479-6.00004-4
Reddick JJ, 2001, BIOORG MED CHEM LETT, V11, P2245, DOI 10.1016/S0960-894X(01)00373-0
ROBBINS JC, 1973, J BACTERIOL, V116, P12, DOI 10.1128/JB.116.1.12-18.1973
ROGERS E F, 1970, P245
RUSSELL JB, 1990, APPL ENVIRON MICROB, V56, P3304, DOI 10.1128/AEM.56.11.3304-3307.1990
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
SARHAN F, 1980, J PROTOZOOL, V27, P235, DOI 10.1111/j.1550-7408.1980.tb04688.x
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Subki A, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0235431
Suffridge CP, 2018, J GEOPHYS RES-BIOGEO, V123, P2890, DOI 10.1029/2018JG004554
Suffridge C, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00011
Suffridge CP, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.606342
TobrenBots I., 1977, Archives of Microbiology, V113, P23
Tripp H.J., 2008, Counting marine microbes with Guava EasyCyte 96 well plate reading flow cytometer , Counting marine microbes with Guava EasyCyte 96 well plate reading flow cytometer
Wahlgren WY, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04045-7
WATANABE F, 1993, J BIOCHEM, V114, P793, DOI 10.1093/oxfordjournals.jbchem.a124258
Wei T, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.00326-21
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Wienhausen G, 2022, ISME J, V16, P2002, DOI 10.1038/s41396-022-01250-7
Winkler W, 2002, NATURE, V419, P952, DOI 10.1038/nature01145
YAMADA K, 1980, J BACTERIOL, V141, P254, DOI 10.1128/JB.141.1.254-261.1980
Zilles JL, 2000, J BACTERIOL, V182, P5606, DOI 10.1128/JB.182.19.5606-5610.2000
NR 65
TC 2
Z9 2
PD OCT
PY 2024
VL 16
IS 5
AR e70023
DI 10.1111/1758-2229.70023
UT WOS:001328848300001
DA 2025-07-30
ER
PT J
AU Moore, ER
Davie-Martin, CL
Giovannoni, SJ
Halsey, KH
AF Moore, Eric R.
Davie-Martin, Cleo L.
Giovannoni, Stephen J.
Halsey, Kimberly H.
TI Pelagibacter metabolism of diatom-derived volatile organic
compounds imposes an energetic tax on photosynthetic carbon fixation
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Volatile organic compounds (VOCs) produced by phytoplankton are molecules with high vapor pressures that can diffuse across cell membranes into the environment, where they become public goods. VOCs likely comprise a significant component of the marine dissolved organic carbon (DOC) pool utilized by microorganisms, but they are often overlooked as growth substrates because their diffusivity imposes analytical challenges. The roles of VOCs in the growth of the photoautotrophic diatom Thalassiosira pseudonana and heterotrophic bacterium Pelagibacter sp. HTCC1062 (SAR11) were examined using co-cultures and proton-transfer reaction time-of-flight mass spectrometry. VOCs at 82 m/z values were produced in the cultures, and the concentrations of 9 of these m/z values changed in co-culture relative to the diatom monoculture. Several of the m/z values were putatively identified, and their metabolism by HTCC1062 was confirmed by measuring ATP production. Diatom carbon fixation rates in co-culture with HTCC1062 were 20.3% higher than the diatom monoculture. Removal of VOCs from the T. pseudonana monoculture using a hydrocarbon trap caused a similar increase in carbon fixation (18.1%). These results show that a wide range of VOCs are cycled in the environment, and the flux of VOCs from phytoplankton to bacterioplankton imposes a large and unexpected tax on phytoplankton photosynthesis.
C1 [Moore, Eric R.; Davie-Martin, Cleo L.; Giovannoni, Stephen J.; Halsey, Kimberly H.] Oregon State Univ Corvallis, Dept Microbiol, 354 Nash Hall, Corvallis, OR 97331 USA.
[Davie-Martin, Cleo L.] Univ Copenhagen, Terr Ecol Sect, Dept Biol, DK-2100 Copenhagen O, Denmark.
RP Halsey, KH (corresponding author), Oregon State Univ Corvallis, Dept Microbiol, 354 Nash Hall, Corvallis, OR 97331 USA.
EM halseyk@science.oregonstate.edu
CR Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
[Anonymous], 2005, Algal Culturing Techniques, DOI DOI 10.1016/B978-012088426-1/50021-4
Barofsky A, 2009, LIMNOL OCEANOGR-METH, V7, P382, DOI 10.4319/lom.2009.7.382
Beale R, 2013, J GEOPHYS RES-OCEANS, V118, P5412, DOI 10.1002/jgrc.20322
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Behrenfeld MJ, 1997, LIMNOL OCEANOGR, V42, P1, DOI 10.4319/lo.1997.42.1.0001
Biller SJ, 2016, ISME J, V10, P2831, DOI 10.1038/ismej.2016.82
Bisutti I, 2004, TRAC-TREND ANAL CHEM, V23, P716, DOI 10.1016/j.trac.2004.09.003
BJORNSEN PK, 1988, LIMNOL OCEANOGR, V33, P151, DOI 10.4319/lo.1988.33.1.0151
Bromke MA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0067340
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Colomb A, 2008, J ENVIRON MONITOR, V10, P325, DOI 10.1039/b715312k
COTSARIS E, 1995, WATER SCI TECHNOL, V31, P251, DOI 10.1016/0273-1223(95)00484-5
CULLEN JJ, 1990, DEEP-SEA RES, V37, P667, DOI 10.1016/0198-0149(90)90097-F
Dachs J, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023799
Dani KGS, 2017, TRENDS PLANT SCI, V22, P361, DOI 10.1016/j.tplants.2017.01.006
Dani KGS, 2017, MAR CHEM, V189, P17, DOI 10.1016/j.marchem.2016.12.005
Dickson Robert P., 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.113, DOI 10.1038/NMICROBIOL.2016.65]
Dixon JL, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00243
Dixon JL, 2013, GEOPHYS RES LETT, V40, P4700, DOI 10.1002/grl.50922
Facchini MC, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034210
Fink P, 2007, MAR FRESHW BEHAV PHY, V40, P155, DOI 10.1080/10236240701602218
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2019, MBIO, V10, DOI 10.1128/mBio.00246-19
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
GUILLARD RR, 1962, CAN J MICROBIOL, V8, P229, DOI 10.1139/m62-029
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Hauser EJ, 2013, LIMNOL OCEANOGR-METH, V11, P287, DOI 10.4319/lom.2013.11.287
Johnston A, 2017, ENVIRON MICROBIOL, V19, P3526, DOI 10.1111/1462-2920.13842
Jüttner F, 2010, MAR ECOL PROG SER, V400, P63, DOI 10.3354/meps08381
Kolber ZS, 1998, BBA-BIOENERGETICS, V1367, P88, DOI 10.1016/S0005-2728(98)00135-2
Landa M, 2017, ISME J, V11, P2677, DOI 10.1038/ismej.2017.117
Longnecker K, 2015, MAR CHEM, V168, P114, DOI 10.1016/j.marchem.2014.11.003
Marra J., 2002, PHYTOPLANKTON PRODUC, P78, DOI DOI 10.1002/9780470995204.CH4
MITCHELL BG, 1988, DEEP-SEA RES, V35, P665, DOI 10.1016/0198-0149(88)90025-8
Myklestad SM, 2000, HANDB ENVIRON CHEM, V5, P111
O'Dowd CD, 2007, PHILOS T R SOC A, V365, P1753, DOI 10.1098/rsta.2007.2043
Pacheco AR, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-07946-9
Paul C, 2013, METABOLOMICS, V9, P349, DOI 10.1007/s11306-012-0453-1
Paul C, 2011, NAT PROD REP, V28, P186, DOI 10.1039/c0np00043d
Ritchie RJ, 2006, PHOTOSYNTH RES, V89, P27, DOI 10.1007/s11120-006-9065-9
Ruiz-Halpern S, 2010, LIMNOL OCEANOGR, V55, P1733, DOI 10.4319/lo.2010.55.4.1733
Samo TJ, 2018, ENVIRON MICROBIOL, V20, P4385, DOI 10.1111/1462-2920.14357
Sargeant SL, 2018, BIOGEOSCIENCES, V15, P5155, DOI 10.5194/bg-15-5155-2018
Schmidt R, 2015, ISME J, V9, P2329, DOI 10.1038/ismej.2015.42
Shaw SL, 2003, MAR CHEM, V80, P227, DOI 10.1016/S0304-4203(02)00101-9
Sinha V., 2007, LIMNOL OCEANOGR, V55, P1733
Spracklen DV, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033359
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Thornton DCO, 2014, EUR J PHYCOL, V49, P20, DOI 10.1080/09670262.2013.875596
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Uitz J, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2009GB003680
van Tol HM, 2017, ISME J, V11, P31, DOI 10.1038/ismej.2016.112
Weigert M, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0631
Westberry T, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003078
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
WRIGHT SW, 1991, MAR ECOL PROG SER, V77, P183, DOI 10.3354/meps077183
NR 60
TC 26
Z9 29
PD MAY
PY 2020
VL 22
IS 5
BP 1720
EP 1733
DI 10.1111/1462-2920.14861
EA DEC 2019
UT WOS:000502062000001
DA 2025-07-30
ER
PT J
AU Salter, I
Galand, PE
Fagervold, SK
Lebaron, P
Obernosterer, I
Oliver, MJ
Suzuki, MT
Tricoire, C
AF Salter, Ian
Galand, Pierre E.
Fagervold, Sonja K.
Lebaron, Philippe
Obernosterer, Ingrid
Oliver, Matthew J.
Suzuki, Marcelino T.
Tricoire, Cyrielle
TI Seasonal dynamics of active SAR11 ecotypes in the oligotrophic Northwest
Mediterranean Sea
SO ISME JOURNAL
DT Article
AB A seven-year oceanographic time series in NW Mediterranean surface waters was combined with pyrosequencing of ribosomal RNA (16S rRNA) and ribosomal RNA gene copies (16S rDNA) to examine the environmental controls on SAR11 ecotype dynamics and potential activity. SAR11 diversity exhibited pronounced seasonal cycles remarkably similar to total bacterial diversity. The timing of diversity maxima was similar across narrow and broad phylogenetic clades and strongly associated with deep winter mixing. Diversity minima were associated with periods of stratification that were low in nutrients and phytoplankton biomass and characterised by intense phosphate limitation (turnover timeo5 h). We propose a conceptual framework in which physical mixing of the water column periodically resets SAR11 communities to a high diversity state and the seasonal evolution of phosphate limitation competitively excludes deeper-dwelling ecotypes to promote low diversity states dominated (>80%) by SAR11 Ia. A partial least squares (PLS) regression model was developed that could reliably predict sequence abundances of SAR11 ecotypes (Q(2) = 0.70) from measured environmental variables, of which mixed layer depth was quantitatively the most important. Comparison of clade-level SAR11 rRNA: rDNA signals with leucine incorporation enabled us to partially validate the use of these ratios as an in-situ activity measure. However, temporal trends in the activity of SAR11 ecotypes and their relationship to environmental variables were unclear. The strong and predictable temporal patterns observed in SAR11 sequence abundance was not linked to metabolic activity of different ecotypes at the phylogenetic and temporal resolution of our study.
C1 [Salter, Ian] Alfred Wegener Inst Polar & Marine Res, Bremerhaven, Germany.
[Salter, Ian; Galand, Pierre E.; Fagervold, Sonja K.; Lebaron, Philippe; Obernosterer, Ingrid; Suzuki, Marcelino T.; Tricoire, Cyrielle] Univ Paris 06, Sorbonne Univ, Observ Oceanol, Banyuls Sur Mer, France.
[Salter, Ian; Obernosterer, Ingrid] CNRS, UMR 7621, LOMIC, Observ Oceanol, Banyuls Sur Mer, France.
[Galand, Pierre E.; Fagervold, Sonja K.] CNRS, UMR 8222, LECOB, Observ Oceanol, Banyuls Sur Mer, France.
[Fagervold, Sonja K.; Lebaron, Philippe; Suzuki, Marcelino T.] CNRS, USR 3579, LBBM, Observ Oceanol, Banyuls Sur Mer, France.
[Oliver, Matthew J.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Salter, I (corresponding author), Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Handelshafen 12, D-27570 Bremerhaven, Germany.
EM ian.salter@awi.de
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
[Anonymous], 1993, Handbook of Methods in Aquatic Microbial Ecology. Eds
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Blanquer A, 2013, ENVIRON MICROBIOL, V15, P3008, DOI 10.1111/1462-2920.12261
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Brettar I, 2012, ISME J, V6, P195, DOI 10.1038/ismej.2011.80
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Campbell BJ, 2009, AQUAT MICROB ECOL, V57, P123, DOI 10.3354/ame01335
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Casey JR, 2009, AQUAT MICROB ECOL, V58, P31, DOI 10.3354/ame01348
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Felsenstein J., 2008, PHYLIP PHYLOGENY INF
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Gaidos E, 2011, ENVIRON MICROBIOL, V13, P1138, DOI 10.1111/j.1462-2920.2010.02392.x
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hansell DA, 1998, GLOBAL BIOGEOCHEM CY, V12, P443, DOI 10.1029/98GB01928
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Kerkhof L, 1999, FEMS MICROBIOL ECOL, V30, P253
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Koeppel A, 2008, P NATL ACAD SCI USA, V105, P2504, DOI 10.1073/pnas.0712205105
Kunin V., 2010, Open J, V1, P1
Kunin V, 2010, ENVIRON MICROBIOL, V12, P118, DOI 10.1111/j.1462-2920.2009.02051.x
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Laghdass M, 2010, ENV MICROBIOL REP, V2, P761, DOI 10.1111/j.1758-2229.2010.00181.x
Lami R, 2009, AQUAT MICROB ECOL, V54, P199, DOI 10.3354/ame01264
Landa M, 2013, AQUAT MICROB ECOL, V69, P157, DOI 10.3354/ame01632
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Michelou VK, 2011, LIMNOL OCEANOGR, V56, P323, DOI 10.4319/lo.2011.56.1.0323
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nelson CE, 2013, ISME J, V7, P962, DOI 10.1038/ismej.2012.161
Reinthaler T, 2006, LIMNOL OCEANOGR, V51, P1262, DOI 10.4319/lo.2006.51.3.1262
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sarmento H, 2013, LIMNOL OCEANOGR, V58, P1123, DOI 10.4319/lo.2013.58.3.1123
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
SOLORZANO L, 1969, LIMNOL OCEANOGR, V14, P799, DOI 10.4319/lo.1969.14.5.0799
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Strickland JD, 1997, PRACTICAL HDB SEAWAT
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Treguer P., 1975, MANUEL ANAL SELS NUT, V2nd ed.
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
WILLIAMS PJL, 1995, MAR CHEM, V51, P17, DOI 10.1016/0304-4203(95)00046-T
Wold S, 2001, CHEMOMETR INTELL LAB, V58, P109, DOI 10.1016/S0169-7439(01)00155-1
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
YENTSCH CS, 1963, DEEP-SEA RES, V10, P221, DOI 10.1016/0011-7471(63)90358-9
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
NR 88
TC 79
Z9 87
PD FEB
PY 2015
VL 9
IS 2
BP 347
EP 360
DI 10.1038/ismej.2014.129
UT WOS:000348213600007
DA 2025-07-30
ER
PT J
AU Schwalbach, MS
Tripp, HJ
Steindler, L
Smith, DP
Giovannoni, SJ
AF Schwalbach, M. S.
Tripp, H. J.
Steindler, L.
Smith, D. P.
Giovannoni, S. J.
TI The presence of the glycolysis operon in SAR11 genomes is positively
correlated with ocean productivity
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB P>Bacteria in the SAR11 clade are highly abundant in marine surface waters, but currently little is known about the carbon compounds that support these large heterotrophic populations. To better understand the carbon requirements of these organisms, we conducted a multiphasic exploration of carbohydrate utilization among SAR11 isolates from the Northeast Pacific Ocean and the Sargasso Sea. A comparison of three SAR11 genomes showed they all lacked a recognizable PTS system, the oxidative portion of the pentose phosphate shunt (zwf-, pgl-), genes for the Embden-Meyerhoff-Parnas (pfk-, pyk-) and Entner-Doudoroff (eda-) pathways of glycolysis. Strain HTCC7211, isolated from an ocean gyre, was missing other glycolysis genes as well. Growth assays, radioisotopes, metagenomics and microarrays were used to test the hypothesis that these isolates might be limited in their abilities to transport and oxidize exogenous carbohydrates. Galactose, fucose, rhamnose, arabinose, ribose and mannose could not serve as carbon sources for the isolates tested. However, differences in glucose utilization were detected between coastal and ocean gyre isolates, with the coastal isolates capable of transporting, incorporating and oxidizing glucose while the open ocean isolate could not. Subsequent microarray analysis of a coastal isolate suggested that an operon encoding a variant of the Entner-Doudoroff pathway is likely responsible for the observed differences in glucose utilization. Metagenomic analysis indicated this operon is more commonly found in coastal environments and is positively correlated with chlorophyll a concentrations. Our results indicated that glycolysis is a variable metabolic property of SAR11 metabolism and suggest that glycolytic SAR11 are more common in productive marine environments.
C1 [Schwalbach, M. S.; Tripp, H. J.; Steindler, L.; Smith, D. P.; Giovannoni, S. J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Aluwihare LI, 1997, NATURE, V387, P166, DOI 10.1038/387166a0
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Behrenfeld MJ, 2008, PHILOS T R SOC B, V363, P2687, DOI 10.1098/rstb.2008.0019
Bertilsson S., 2003, AQUATIC ECOSYSTEMS I, P2
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bolstad BM, 2003, BIOINFORMATICS, V19, P185, DOI 10.1093/bioinformatics/19.2.185
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1998, LIMNOL OCEANOGR, V43, P375, DOI 10.4319/lo.1998.43.3.0375
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
DELONG EF, 1987, APPL ENVIRON MICROB, V53, P527, DOI 10.1128/AEM.53.3.527-532.1987
Deutscher J, 2006, MICROBIOL MOL BIOL R, V70, P939, DOI 10.1128/MMBR.00024-06
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Irizarry RA, 2003, BIOSTATISTICS, V4, P249, DOI 10.1093/biostatistics/4.2.249
Irizarry RA, 2003, NUCLEIC ACIDS RES, V31, DOI 10.1093/nar/gng015
JACKSON AE, 1992, CAN J BOT, V70, P2198, DOI 10.1139/b92-272
Keil RG, 1999, AQUAT MICROB ECOL, V18, P293, DOI 10.3354/ame018293
KIEBER DJ, 1989, NATURE, V341, P637, DOI 10.1038/341637a0
Kirchman DL., 2003, Aquatic Ecosystems: Interactivity of Dissolved Organic Matter, P217, DOI DOI 10.1016/B978-012256371-3/50010-X
KOLB A, 1993, ANNU REV BIOCHEM, V62, P749, DOI 10.1146/annurev.bi.62.070193.003533
Kujawinski EB, 2004, MAR CHEM, V92, P23, DOI 10.1016/j.marchem.2004.06.038
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Miller BG, 2004, BIOCHEMISTRY-US, V43, P6387, DOI 10.1021/bi049424m
MONOD J, 1949, ANNU REV MICROBIOL, V3, P371, DOI 10.1146/annurev.mi.03.100149.002103
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Moran MA, 1997, LIMNOL OCEANOGR, V42, P1307, DOI 10.4319/lo.1997.42.6.1307
MORRIS I, 1978, MAR BIOL, V47, P303
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Obernosterer I, 1999, AQUAT MICROB ECOL, V20, P147, DOI 10.3354/ame020147
Perrenoud A, 2005, J BACTERIOL, V187, P3171, DOI 10.1128/JB.187.9.3171-3179.2005
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Repeta DJ, 2006, LIMNOL OCEANOGR, V51, P1045, DOI 10.4319/lo.2006.51.2.1045
Rich JH, 1996, LIMNOL OCEANOGR, V41, P595, DOI 10.4319/lo.1996.41.4.0595
Riemann L, 2002, APPL ENVIRON MICROB, V68, P5554, DOI 10.1128/AEM.68.11.5554-5562.2002
Roberts R.B., 1955, STUDIES BIOSYNTHESIS
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Skoog A, 1997, LIMNOL OCEANOGR, V42, P1803, DOI 10.4319/lo.1997.42.8.1803
Skoog A, 1999, LIMNOL OCEANOGR, V44, P1625, DOI 10.4319/lo.1999.44.7.1625
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Visscher PT, 1999, APPL ENVIRON MICROB, V65, P3272
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williams PJL., 2000, MICROBIAL ECOLOGY OC
Zheng DL, 2004, NUCLEIC ACIDS RES, V32, P5874, DOI 10.1093/nar/gkh908
NR 61
TC 93
Z9 106
PD FEB
PY 2010
VL 12
IS 2
BP 490
EP 500
DI 10.1111/j.1462-2920.2009.02092.x
UT WOS:000274234600017
DA 2025-07-30
ER
PT J
AU Thrash, JC
Boyd, A
Huggett, MJ
Grote, J
Carini, P
Yoder, RJ
Robbertse, B
Spatafora, JW
Rappé, MS
Giovannoni, SJ
AF Thrash, J. Cameron
Boyd, Alex
Huggett, Megan J.
Grote, Jana
Carini, Paul
Yoder, Ryan J.
Robbertse, Barbara
Spatafora, Joseph W.
Rappe, Michael S.
Giovannoni, Stephen J.
TI Phylogenomic evidence for a common ancestor of mitochondria and the
SAR11 clade
SO SCIENTIFIC REPORTS
DT Article
AB Mitochondria share a common ancestor with the Alphaproteobacteria, but determining their precise origins is challenging due to inherent difficulties in phylogenetically reconstructing ancient evolutionary events. Nonetheless, phylogenetic accuracy improves with more refined tools and expanded taxon sampling. We investigated mitochondrial origins with the benefit of new, deeply branching genome sequences from the ancient and prolific SAR11 clade of Alphaproteobacteria and publicly available alphaproteobacterial and mitochondrial genome sequences. Using the automated phylogenomic pipeline Hal, we systematically studied the effect of taxon sampling and missing data to accommodate small mitochondrial genomes. The evidence supports a common origin of mitochondria and SAR11 as a sister group to the Rickettsiales. The simplest explanation of these data is that mitochondria evolved from a planktonic marine alphaproteobacterial lineage that participated in multiple inter-specific cell colonization events, in some cases yielding parasitic relationships, but in at least one case producing a symbiosis that characterizes modern eukaryotic life.
C1 [Thrash, J. Cameron; Carini, Paul; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Boyd, Alex; Yoder, Ryan J.; Robbertse, Barbara; Spatafora, Joseph W.] Oregon State Univ, Dept Bot & Plant Pathol, Corvallis, OR 97331 USA.
[Huggett, Megan J.; Grote, Jana; Rappe, Michael S.] Univ Hawaii Manoa, Hawaii Inst Marine Biol, SOEST, Kaneohe, HI 96744 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
Andersson SGE, 2003, PHILOS T R SOC B, V358, P165, DOI 10.1098/rstb.2002.1193
Andersson SGE, 1998, NATURE, V396, P133, DOI 10.1038/24094
Atteia A, 2009, MOL BIOL EVOL, V26, P1533, DOI 10.1093/molbev/msp068
Brayton KA, 2005, P NATL ACAD SCI USA, V102, P844, DOI 10.1073/pnas.0406656102
BROWN WM, 1979, P NATL ACAD SCI USA, V76, P1967, DOI 10.1073/pnas.76.4.1967
Burki F, 2008, BIOL LETTERS, V4, P366, DOI 10.1098/rsbl.2008.0224
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Collins NE, 2005, P NATL ACAD SCI USA, V102, P838, DOI 10.1073/pnas.0406633102
Delsuc F, 2005, NAT REV GENET, V6, P361, DOI 10.1038/nrg1603
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Embley TM, 2006, NATURE, V440, P623, DOI 10.1038/nature04546
Emelyanov VV, 2003, EUR J BIOCHEM, V270, P1599, DOI 10.1046/j.1432-1033.2003.03499.x
Esser C, 2004, MOL BIOL EVOL, V21, P1643, DOI 10.1093/molbev/msh160
Esser C, 2007, BIOL LETT-UK, V3, P180, DOI 10.1098/rsbl.2006.0582
Ettema TJG, 2009, BIOL LETTERS, V5, P429, DOI 10.1098/rsbl.2008.0793
Fitzpatrick DA, 2006, MOL BIOL EVOL, V23, P74, DOI 10.1093/molbev/msj009
Gabaldón T, 2003, SCIENCE, V301, P609, DOI 10.1126/science.1085463
Gillespie JJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002018
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gray MW, 2001, GENOME BIOL, V2
Gray MW, 2004, ANNU REV GENET, V38, P477, DOI 10.1146/annurev.genet.37.110801.142526
Gray MW, 1999, SCIENCE, V283, P1476, DOI 10.1126/science.283.5407.1476
Gross J, 2009, NAT REV GENET, V10, P495, DOI 10.1038/nrg2610
Hampl V, 2009, P NATL ACAD SCI USA, V106, P3859, DOI 10.1073/pnas.0807880106
Jeffroy O, 2006, TRENDS GENET, V22, P225, DOI 10.1016/j.tig.2006.02.003
Koonin EV, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-5-209
Kurland CG, 2000, MICROBIOL MOL BIOL R, V64, P786, DOI 10.1128/MMBR.64.4.786-820.2000
Lang BF, 1997, NATURE, V387, P493, DOI 10.1038/387493a0
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lee KB, 2005, INT J SYST EVOL MICR, V55, P1907, DOI 10.1099/ijs.0.63663-0
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Markowitz Victor M, 2008, Nucleic Acids Res, V36, pD534
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Philippe H, 2005, ANNU REV ECOL EVOL S, V36, P541, DOI 10.1146/annurev.ecolsys.35.112202.130205
Philippe H, 2004, MOL BIOL EVOL, V21, P1740, DOI 10.1093/molbev/msh182
Philippe H, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1000602
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Robbertse B, 2006, FUNGAL GENET BIOL, V43, P715, DOI 10.1016/j.fgb.2006.05.001
Robbertse B, 2011, PLOS CURR-TREE LIFE, DOI 10.1371/currents.RRN1213
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Shearer TL, 2002, MOL ECOL, V11, P2475, DOI 10.1046/j.1365-294X.2002.01652.x
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
van Dongen S, 2000, Graph clustering by flow simulation
Wiens JJ, 2006, J BIOMED INFORM, V39, P34, DOI 10.1016/j.jbi.2005.04.001
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
Zhou Y, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-206
NR 53
TC 120
Z9 144
PD JUN 14
PY 2011
VL 1
AR 13
DI 10.1038/srep00013
UT WOS:000296046200013
DA 2025-07-30
ER
PT J
AU Malmstrom, RR
Kiene, RP
Cottrell, MT
Kirchman, DL
AF Malmstrom, RR
Kiene, RP
Cottrell, MT
Kirchman, DL
TI Contribution of SAR11 bacteria to dissolved dimethylsulfoniopropionate
and amino acid uptake in the North Atlantic ocean
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB SAR11 bacteria are abundant in marine environments, often accounting for 35% of total prokaryotes in the surface ocean, but little is known about their involvement in marine biogeochemical cycles. Previous studies reported that SAR11 bacteria are very small and potentially have few ribosomes, indicating that SAR11 bacteria could have low metabolic activities and could play a smaller role in the flux of dissolved organic matter than suggested by their abundance. To determine the ecological activity of SAR11 bacteria, we used a combination of microautoradiography and fluorescence in situ hybridization (Micro-FISH) to measure assimilation of (3)H-amino acids and [(35)S]dimethylsulfoniopropionate (DMSP) by SAR11 bacteria in the coastal North Atlantic Ocean and the Sargasso Sea. We found that SAR11 bacteria were often abundant in surface waters, accounting for 25% of all prokaryotes on average. SAR11 bacteria were typically as large as, if not larger than, other prokaryotes. Additionally, more than half of SAR11 bacteria assimilated dissolved amino acids and DMSP, whereas about 40% of other prokaryotes assimilated these compounds. Due to their high abundance and activity, SAR11 bacteria were responsible for about 50% of amino acid assimilation and 30% of DMSP assimilation in surface waters. The contribution of SAR11 bacteria to amino acid assimilation was greater than would be expected based on their overall abundance, implying that SAR11 bacteria outcompete other prokaryotes for these labile compounds. These data suggest that SAR11 bacteria are highly active and play a significant role in C, N, and S cycling in the ocean.
C1 Univ Delaware, Coll Marine Studies, Lewes, DE 19958 USA.
Univ S Alabama, Dept Marine Sci, Mobile, AL 36688 USA.
Dauphin Isl Sea Lab, Dauphin Isl, AL 36528 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Coll Marine Studies, 700 Pilottown Rd, Lewes, DE 19958 USA.
EM kirchman@cms.udel.edu
CR AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
ELSER JJ, 1995, AQUAT MICROB ECOL, V9, P105, DOI 10.3354/ame009105
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
HOOD MA, 1986, APPL ENVIRON MICROB, V52, P788, DOI 10.1128/AEM.52.4.788-793.1986
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
KEIL RG, 1991, MAR ECOL PROG SER, V73, P1, DOI 10.3354/meps073001
Kiene RP, 1999, AQUAT MICROB ECOL, V17, P311, DOI 10.3354/ame017311
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Kirchman DL, 1997, MICROBIAL ECOL, V33, P11, DOI 10.1007/s002489900003
Lebaron P, 2002, AQUAT MICROB ECOL, V28, P131, DOI 10.3354/ame028131
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nielsen JL, 2003, ENVIRON MICROBIOL, V5, P202, DOI 10.1046/j.1462-2920.2003.00402.x
NOVITSKY JA, 1976, APPL ENVIRON MICROB, V32, P617, DOI 10.1128/AEM.32.4.617-622.1976
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
SHERR BF, 1992, APPL ENVIRON MICROB, V58, P2381, DOI 10.1128/AEM.58.8.2381-2385.1992
SIERACKI ME, 1989, CYTOMETRY, V10, P551, DOI 10.1002/cyto.990100510
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
TURNER SM, 1988, LIMNOL OCEANOGR, V33, P364, DOI 10.4319/lo.1988.33.3.0364
Williams PJL., 2000, MICROBIAL ECOLOGY OC
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 30
TC 183
Z9 204
PD JUL
PY 2004
VL 70
IS 7
BP 4129
EP 4135
DI 10.1128/AEM.70.7.4129-4135.2004
UT WOS:000222758600045
DA 2025-07-30
ER
PT J
AU Hartmann, M
Hill, PG
Tynan, E
Achterberg, EP
Leakey, RJG
Zubkov, MV
AF Hartmann, Manuela
Hill, Polly G.
Tynan, Eithne
Achterberg, Eric P.
Leakey, Raymond J. G.
Zubkov, Mikhail V.
TI Resilience of SAR11 bacteria to rapid acidification in the high-latitude
open ocean
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Ubiquitous SAR11 Alphaproteobacteria numerically dominate marine planktonic communities. Because they are excruciatingly difficult to cultivate, there is comparatively little known about their physiology and metabolic responses to long-and short-term environmental changes. As surface oceans take up anthropogenic, atmospheric CO2, the consequential process of ocean acidification could affect the global biogeochemical significance of SAR11. Shipping accidents or inadvertent release of chemicals from industrial plants can have strong short-term local effects on oceanic SAR11. This study investigated the effect of 2.5-fold acidification of seawater on the metabolism of SAR11 and other heterotrophic bacterioplankton along a natural temperature gradient crossing the North Atlantic Ocean, Norwegian and Greenland Seas. Uptake rates of the amino acid leucine by SAR11 cells as well as other bacterioplankton remained similar to controls despite an instant similar to 50% increase in leucine bioavailability upon acidification. This high physiological resilience to acidification even without acclimation, suggests that open ocean dominant bacterioplankton are able to cope even with sudden and therefore more likely with long-term acidification effects.
C1 [Hartmann, Manuela; Hill, Polly G.; Zubkov, Mikhail V.] Natl Oceanog Ctr, European Way, Southampton SO14 3ZH, Hants, England.
[Tynan, Eithne; Achterberg, Eric P.] Univ Southampton, Natl Oceanog Ctr Southampton, Sch Ocean & Earth Sci, Southampton SO14 3ZH, Hants, England.
[Achterberg, Eric P.] GEOMAR Helmholtz Ctr Ocean Res, D-24148 Kiel, Germany.
[Leakey, Raymond J. G.] Scottish Marine Inst, Scottish Assoc Marine Sci, Oban PA37 1QA, Argyll, Scotland.
RP Zubkov, MV (corresponding author), Natl Oceanog Ctr, Ocean Biogeochem & Ecosyst Res Grp, European Way, Southampton SO14 3ZH, Hants, England.
EM mvz@noc.ac.uk
CR AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], THESIS TU MUNCHEN
Boyd PW, 1999, DEEP-SEA RES PT II, V46, P2761, DOI 10.1016/S0967-0645(99)00083-1
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
DICKSON AG, 1987, DEEP-SEA RES, V34, P1733, DOI 10.1016/0198-0149(87)90021-5
Dickson AG., 2007, Guide to Best Practices for Ocean CO2 Measurements, DOI 10.25607/OBP-1342
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Engel A, 2005, LIMNOL OCEANOGR, V50, P493, DOI 10.4319/lo.2005.50.2.0493
Fabry VJ, 2009, OCEANOGRAPHY, V22, P160, DOI 10.5670/oceanog.2009.105
Gattuso JP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P129
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Halpern BS, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8615
Hansell D.A., 2015, BIOGEOCHEMISTRY MARI, DOI [10.1016/C2012-0-02714-7, DOI 10.1016/C2012-0-02714-7]
Hartmann M, 2013, ENV MICROBIOL REP, V5, P835, DOI 10.1111/1758-2229.12084
Hassellöv IM, 2013, GEOPHYS RES LETT, V40, P2731, DOI 10.1002/grl.50521
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Hill PG, 2011, PROG OCEANOGR, V91, P437, DOI 10.1016/j.pocean.2011.05.006
Hofmann GE, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028983
Hutchins DA, 2009, OCEANOGRAPHY, V22, P128, DOI 10.5670/oceanog.2009.103
Joint I, 2011, ISME J, V5, P1, DOI 10.1038/ismej.2010.79
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Krause ET, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036615
Lewis ER, 1998, ESS-DIVE
MacGilchrist GA, 2014, BIOGEOSCIENCES, V11, P3695, DOI 10.5194/bg-11-3695-2014
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Mamaca E, 2009, REV CHEM SPILLS SEA
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
MARTIN JH, 1987, DEEP-SEA RES, V34, P267, DOI 10.1016/0198-0149(87)90086-0
MEHRBACH C, 1973, LIMNOL OCEANOGR, V18, P897, DOI 10.4319/lo.1973.18.6.0897
Morel F. M. M., 2003, TREATISE GEOCHEMISTR, P113, DOI [DOI 10.1016/B0-08-043751-6/06108-9, DOI 10.1016/B978-0-08-095975-7.00605-7]
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Motegi C, 2013, BIOGEOSCIENCES, V10, P3285, DOI 10.5194/bg-10-3285-2013
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Rhein M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P255
Richier S, 2014, BIOGEOSCIENCES, V11, P4733, DOI 10.5194/bg-11-4733-2014
Riebesell U, 2004, J OCEANOGR, V60, P719, DOI 10.1007/s10872-004-5764-z
Riebesell U., 2011, GUIDE BEST PRACTICES
Sabine CL, 2004, SCIENCE, V305, P367, DOI 10.1126/science.1097403
Selinger DW, 2003, GENOME RES, V13, P216, DOI 10.1101/gr.912603
Sharma AK, 2014, ENVIRON MICROBIOL, V16, P2815, DOI 10.1111/1462-2920.12254
Sherr EB, 2002, ANTON LEEUW INT J G, V81, P293, DOI 10.1023/A:1020591307260
Shi DL, 2010, SCIENCE, V327, P676, DOI 10.1126/science.1183517
Steglich C, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-5-r54
van Heuven S., 2011, MATLAB program developed for CO2 system calculations, DOI [DOI 10.3334/CDIAC/OTG.CO2SYS_MATLAB_V1.1, 10.3334/CDIAC/otg.CO2SYS_MATLAB_v1.1]
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
Zark M, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1500531
Zeebe R. E., 2001, SEAWATER EQUILIBRIUM
Zubkov MV, 2006, CYTOM PART A, V69A, P1010, DOI 10.1002/cyto.a.20332
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
NR 53
TC 9
Z9 9
PD FEB
PY 2016
VL 92
IS 2
AR fiv161
DI 10.1093/femsec/fiv161
UT WOS:000371249600007
DA 2025-07-30
ER
PT J
AU Amrine, KCH
Swingley, WD
Ardell, DH
AF Amrine, Katherine C. H.
Swingley, Wesley D.
Ardell, David H.
TI tRNA Signatures Reveal a Polyphyletic Origin of SAR11 Strains among
Alphaproteobacteria
SO PLOS COMPUTATIONAL BIOLOGY
DT Article
AB Molecular phylogenetics and phylogenomics are subject to noise from horizontal gene transfer (HGT) and bias from convergence in macromolecular compositions. Extensive variation in size, structure and base composition of alphaproteobacterial genomes has complicated their phylogenomics, sparking controversy over the origins and closest relatives of the SAR11 strains. SAR11 are highly abundant, cosmopolitan aquatic Alphaproteobacteria with streamlined, A+T-biased genomes. A dominant view holds that SAR11 are monophyletic and related to both Rickettsiales and the ancestor of mitochondria. Other studies dispute this, finding evidence of a polyphyletic origin of SAR11 with most strains distantly related to Rickettsiales. Although careful evolutionary modeling can reduce bias and noise in phylogenomic inference, entirely different approaches may be useful to extract robust phylogenetic signals from genomes. Here we develop simple phyloclassifiers from bioinformatically derived tRNA Class-Informative Features (CIFs), features predicted to target tRNAs for specific interactions within the tRNA interaction network. Our tRNA CIF-based model robustly and accurately classifies alphaproteobacterial genomes into one of seven undisputed monophyletic orders or families, despite great variability in tRNA gene complement sizes and base compositions. Our model robustly rejects monophyly of SAR11, classifying all but one strain as Rhizobiales with strong statistical support. Yet remarkably, conventional phylogenetic analysis of tRNAs classifies all SAR11 strains identically as Rickettsiales. We attribute this discrepancy to convergence of SAR11 and Rickettsiales tRNA base compositions. Thus, tRNA CIFs appear more robust to compositional convergence than tRNA sequences generally. Our results suggest that tRNA-CIF-based phyloclassification is robust to HGT of components of the tRNA interaction network, such as aminoacyl-tRNA synthetases. We explain why tRNAs are especially advantageous for prediction of traits governing macromolecular interactions from genomic data, and why such traits may be advantageous in the search for robust signals to address difficult problems in classification and phylogeny.
Author Summary
If gene products work well in the networks of foreign cells, their genes may transfer horizontally between unrelated genomes. What factors dictate the ability to integrate into foreign networks? Different RNAs and proteins must interact specifically in order to function well as a system. For example, tRNA functions are determined by the interactions they have with other macromolecules. We have developed ways to predict, from genomic data alone, how tRNAs distinguish themselves to their specific interaction partners. Here, as proof of concept, we built a robust computational model from these bioinformatic predictions in seven lineages of Alphaproteobacteria. We validated our model by classifying hundreds of diverse alphaproteobacterial taxa and tested it on eight strains of SAR11, a phylogenetically controversial group that is highly abundant in the world's oceans. We found that different strains of SAR11 are more distantly related, both to each other and to mitochondria, than widely believed. We explain conflicting results about SAR11 as an artifact of bias created by the variability in base contents of alphaproteobacterial genomes. While this bias affects tRNAs too, our classifier appears unexpectedly robust to it.
More broadly, our results suggest that traits governing macromolecular interactions may be more faithfully vertically inherited than the macromolecules themselves.
C1 [Amrine, Katherine C. H.; Swingley, Wesley D.; Ardell, David H.] Univ Calif Merced, Program Quantitat & Syst Biol, Merced, CA 95344 USA.
RP Amrine, KCH (corresponding author), Univ Calif Merced, Program Quantitat & Syst Biol, Merced, CA 95344 USA.
EM dardell@ucmerced.edu
CR Abby SS, 2012, P NATL ACAD SCI USA, V109, P4962, DOI 10.1073/pnas.1116871109
Abe T, 2011, NUCLEIC ACIDS RES, V39, pD210, DOI 10.1093/nar/gkq1007
Aitchison J., 2003, STAT ANAL COMPOSITIO
Andam CP, 2011, NAT REV MICROBIOL, V9, P543, DOI 10.1038/nrmicro2593
Andersson SGE, 1998, TRENDS MICROBIOL, V6, P263, DOI 10.1016/S0966-842X(98)01312-2
[Anonymous], 2000, Pattern Classification, DOI DOI 10.1007/978-3-319-57027-3_4
Ardell DH, 2010, FEBS LETT, V584, P325, DOI 10.1016/j.febslet.2009.11.084
Ardell DH, 2006, NUCLEIC ACIDS RES, V34, P893, DOI 10.1093/nar/gkj449
Bailly M, 2006, NUCLEIC ACIDS RES, V34, P6083, DOI 10.1093/nar/gkl622
Bailly-Bechet M, 2007, GENOME RES, V17, P1486, DOI 10.1101/gr.6649807
Baker CR, 2011, P NATL ACAD SCI USA, V108, P7493, DOI 10.1073/pnas.1019177108
Bapteste E, 2009, BIOL DIRECT, V4, DOI 10.1186/1745-6150-4-34
Barrière A, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002961
Beltrao P, 2012, CELL, V150, P413, DOI 10.1016/j.cell.2012.05.036
Biebl H, 2007, INT J SYST EVOL MICR, V57, P1095, DOI 10.1099/ijs.0.64821-0
Brindefalk B, 2007, MOL BIOL EVOL, V24, P743, DOI 10.1093/molbev/msl202
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
Brown JR, 1999, J MOL EVOL, V49, P485, DOI 10.1007/PL00006571
Bullaughey K, 2013, EVOLUTION, V67, P49, DOI 10.1111/j.1558-5646.2012.01735.x
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Chen K, 2010, BIOPHYS J, V99, P3930, DOI 10.1016/j.bpj.2010.09.062
Cohen O, 2011, MOL BIOL EVOL, V28, P1481, DOI 10.1093/molbev/msq333
Connolly SA, 2004, BIOCHEMISTRY-US, V43, P962, DOI 10.1021/bi035708f
Crooks GE, 2004, GENOME RES, V14, P1188, DOI 10.1101/gr.849004
Dale C, 2003, MOL BIOL EVOL, V20, P1188, DOI 10.1093/molbev/msg138
DEDUVE C, 1988, NATURE, V333, P117, DOI 10.1038/333117a0
Dohm JC, 2006, J MOL EVOL, V63, P437, DOI 10.1007/s00239-005-0094-3
Doolittle RF, 1998, CURR OPIN GENET DEV, V8, P630, DOI 10.1016/S0959-437X(98)80030-0
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
EDDY SR, 1994, NUCLEIC ACIDS RES, V22, P2079, DOI 10.1093/nar/22.11.2079
Felsenstein J., 2005, PHYLIP (Phylogeny Inference Package) version 3.6. Distributed by the author
Foster PG, 2004, SYST BIOL, V53, P485, DOI 10.1080/10635150490445779
Fraser HB, 2002, SCIENCE, V296, P750, DOI 10.1126/science.1068696
Freyhult E, 2006, NUCLEIC ACIDS RES, V34, P905, DOI 10.1093/nar/gkj478
Freyhult E, 2007, BIOCHIMIE, V89, P1276, DOI 10.1016/j.biochi.2007.07.013
Georgiades K, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024857
Giegé R, 1998, NUCLEIC ACIDS RES, V26, P5017, DOI 10.1093/nar/26.22.5017
Giege R, THESIS U L PASTEUR S
Giegé R, 2008, NAT STRUCT MOL BIOL, V15, P1007, DOI 10.1038/nsmb.1498
Giegé R, 2013, J BIOL CHEM, V288, P6679, DOI 10.1074/jbc.X113.453894
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gogarten JP, 2002, MOL BIOL EVOL, V19, P2226, DOI 10.1093/oxfordjournals.molbev.a004046
Gorodkin J, 1997, COMPUT APPL BIOSCI, V13, P583
Gouy M, 2010, MOL BIOL EVOL, V27, P221, DOI 10.1093/molbev/msp259
Gribaldo S, 2002, THEOR POPUL BIOL, V61, P391, DOI 10.1006/tpbi.2002.1593
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Gupta RS, 2007, BMC MICROBIOL, V7, DOI 10.1186/1471-2180-7-106
Haag ES, 2005, EVOLUTION, V59, P1620, DOI 10.1111/j.0014-3820.2005.tb01813.x
Hall M., 2009, ACM SIGKDD Explor Newsl, V11, P10, DOI [10.1145/1656274.1656278, DOI 10.1145/1656274.1656278]
Hamady M, 2010, ISME J, V4, P17, DOI 10.1038/ismej.2009.97
Hartl DL, 1996, J THEOR BIOL, V182, P303, DOI 10.1006/jtbi.1996.0168
He BZ, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1002053
Hershberg R, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001115
Hosoya S, PSEUDOVIBRIO JAPONIC
Itoh T, 2002, P NATL ACAD SCI USA, V99, P12944, DOI 10.1073/pnas.192449699
Jain R, 1999, P NATL ACAD SCI USA, V96, P3801, DOI 10.1073/pnas.96.7.3801
Jühling F, 2009, NUCLEIC ACIDS RES, V37, pD159, DOI 10.1093/nar/gkn772
Kuo D, 2010, GENOME RES, V20, P1672, DOI 10.1101/gr.111765.110
Lapierre P, 2012, BRIEF BIOINFORM, P1
Larkin MA, 2007, BIOINFORMATICS, V23, P2947, DOI 10.1093/bioinformatics/btm404
Laslett D, 2004, NUCLEIC ACIDS RES, V32, P11, DOI 10.1093/nar/gkh152
LENGYEL P, 1966, J GEN PHYSIOL, V49, P305, DOI 10.1085/jgp.49.6.305
Lind PA, 2008, P NATL ACAD SCI USA, V105, P17878, DOI 10.1073/pnas.0804445105
Losos JB, 2012, SCIENCE, V338, P1428, DOI 10.1126/science.1232455
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Moran NA, 2002, CELL, V108, P583, DOI 10.1016/S0092-8674(02)00665-7
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Roberts E, 2008, P NATL ACAD SCI USA, V105, P13953, DOI 10.1073/pnas.0804861105
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Saks ME, 1998, SCIENCE, V279, P1665, DOI 10.1126/science.279.5357.1665
Sayers EW, 2010, NUCLEIC ACIDS RES, V38, pD5, DOI 10.1093/nar/gkp967
SCHIMMEL P, 1993, P NATL ACAD SCI USA, V90, P8763, DOI 10.1073/pnas.90.19.8763
SCHUSTER P, 1994, P ROY SOC B-BIOL SCI, V255, P279, DOI 10.1098/rspb.1994.0040
Sethi A, 2009, P NATL ACAD SCI USA, V106, P6620, DOI 10.1073/pnas.0810961106
Shiba K, 1997, TRENDS BIOCHEM SCI, V22, P453, DOI 10.1016/S0968-0004(97)01135-3
Silva FJ, 2006, NUCLEIC ACIDS RES, V34, P6015, DOI 10.1093/nar/gkl739
Sprinzl M, 1998, NUCLEIC ACIDS RES, V26, P148, DOI 10.1093/nar/26.1.148
Stajich JE, 2002, GENOME RES, V12, P1611, DOI 10.1101/gr.361602
Stamatakis A, 2008, SYST BIOL, V57, P758, DOI 10.1080/10635150802429642
Tåquist H, 2007, NUCLEIC ACIDS RES, V35, pW350, DOI 10.1093/nar/gkm393
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Uchino Y, 1998, J GEN APPL MICROBIOL, V44, P201, DOI 10.2323/jgam.44.201
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Wang CX, 2007, J BACTERIOL, V189, P1954, DOI 10.1128/JB.01203-06
Widmann J, 2010, RNA, V16, P1469, DOI 10.1261/rna.726010
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
WINKER S, 1991, SYST APPL MICROBIOL, V14, P305, DOI 10.1016/S0723-2020(11)80303-6
Woese CR, 2000, MICROBIOL MOL BIOL R, V64, P202, DOI 10.1128/MMBR.64.1.202-236.2000
Wolf YI, 1999, GENOME RES, V9, P689
Wolfson AD, 2001, COLD SPRING HARB SYM, V66, P185, DOI 10.1101/sqb.2001.66.185
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
NR 94
TC 6
Z9 7
PD FEB
PY 2014
VL 10
IS 2
DI 10.1371/journal.pcbi.1003454
UT WOS:000332016700010
DA 2025-07-30
ER
PT J
AU Wei, T
Quareshy, M
Zhang, YZ
Scanlan, DJ
Chen, Y
AF Wei, Tao
Quareshy, Mussa
Zhang, Yu-Zhong
Scanlan, David J.
Chen, Yin
TI Manganese Is Essential for PlcP Metallophosphoesterase Activity Involved
in Lipid Remodeling in Abundant Marine Heterotrophic Bacteria
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB In vast areas of the ocean, microbes must adapt to the availability of scarce nutrients, and a key strategy for reducing the cellular phosphorus (P) quota is to remodel membranes by replacing phospholipids with non-P surrogate lipids. A metallo-phosphoesterase, PlcP, is essential for lipid remodeling in cosmopolitan marine bacteria of the Roseobacter (e.g., Phaeobacter sp. strain MED193) and SAR11 (e.g., Pelagibacter sp. strain HTCC7211) clades, and transcription of plcP is known to be induced by P limitation. In order to better understand PlcP-mediated lipid remodeling, we sought to characterize PlcP for its metal ion requirement and to determine its selectivity for native bacterial phospholipids. Here, we report the occurrence of a highly conserved binuclear ion center in PlcPs from MED193 and HTCC7211 and show that manganese is the preferred metal for metallophosphoesterase activity. PlcP displayed high activity towards the major bacterial phospholipids, e.g., phosphatidylglycerol but also phosphatidic acid, a key intermediate in phospholipid biosynthesis. In contrast, phosphatidylserine and phosphatidylinositol, both of which are rare lipids in bacteria, are not preferred substrates. These data suggest that PlcP undertakes a generic lipid remodeling role during the cellular response of marine bacteria to P deficiency and that manganese availability may play a key role in regulating the lipid remodeling process.
IMPORTANCE Membrane lipids form the structural basis of all cells. In the marine environment, it is well established that phosphorus availability significantly affects lipid composition in cosmopolitan marine bacteria, whereby non-phosphorus-containing lipids are used to replace phospholipids in response to phosphorus stress. Central to this lipid remodeling pathway is a newly identified phospholipase C-type metallophosphoesterase (PlcP). However, little is known about how PlcP activity is regulated. Here, we determined the role of metal ions in regulating PlcP activity and compared PlcP substrate specificities in PlcP enzymes from two model marine bacteria from the marine Roseobacter clade and the SAR11 clade. Our data provide new insights into the regulation of lipid remodeling in these marine bacteria.
C1 [Wei, Tao] Zhengzhou Univ Light Ind, Sch Food & Biol Engn, Zhengzhou, Henan, Peoples R China.
[Wei, Tao; Quareshy, Mussa; Scanlan, David J.; Chen, Yin] Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
[Zhang, Yu-Zhong] Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Jinan, Shandong, Peoples R China.
[Zhang, Yu-Zhong] Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
RP Wei, T (corresponding author), Zhengzhou Univ Light Ind, Sch Food & Biol Engn, Zhengzhou, Henan, Peoples R China.; Wei, T; Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
EM weit8008@zzuli.edu.cn; Y.chen.25@warwick.ac.uk
CR Andreeva AV, 2004, BMC EVOL BIOL, V4, DOI 10.1186/1471-2148-4-47
Bristow LA, 2017, CURR BIOL, V27, pR474, DOI 10.1016/j.cub.2017.03.030
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Chen SF, 2004, J BIOL CHEM, V279, P31854, DOI 10.1074/jbc.M401059200
Cho J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.154, 10.1038/nmicrobiol.2016.154]
Flores-Díaz M, 2016, MICROBIOL MOL BIOL R, V80, P597, DOI 10.1128/MMBR.00082-15
FOLCH J, 1957, J BIOL CHEM, V226, P497
Green RT, 2013, ISME J, V7, P581, DOI 10.1038/ismej.2012.140
Gudjónsdóttir K, 2008, FEBS J, V275, P117, DOI 10.1111/j.1742-4658.2007.06182.x
Kelley LA, 2015, NAT PROTOC, V10, P845, DOI 10.1038/nprot.2015.053
Keppetipola Niroshika, 2008, J Biol Chem, V283, P30942, DOI 10.1074/jbc.M805064200
Khalid MF, 2005, NUCLEIC ACIDS RES, V33, P6349, DOI 10.1093/nar/gki934
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
López-Lara IM, 2017, BBA-MOL CELL BIOL L, V1862, P1287, DOI 10.1016/j.bbalip.2016.10.007
Matange N, 2015, BIOCHEM J, V467, P201, DOI 10.1042/BJ20150028
Merchant SS, 2012, ADV MICROB PHYSIOL, V60, P91, DOI 10.1016/B978-0-12-398264-3.00002-4
Miller DJ, 2007, PROTEIN SCI, V16, P1338, DOI 10.1110/ps.072764907
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Okada C, 2016, SCI REP-UK, V6, DOI 10.1038/srep32822
Opiyo SO, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-362
Paull TT, 1998, MOL CELL, V1, P969, DOI 10.1016/S1097-2765(00)80097-0
Pettersen EF, 2004, J COMPUT CHEM, V25, P1605, DOI 10.1002/jcc.20084
Saito MA, 2011, P NATL ACAD SCI USA, V108, P2184, DOI 10.1073/pnas.1006943108
Salomon E, 2011, PLANT PHYSIOL, V155, P571, DOI 10.1104/pp.110.164269
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schenk G, 2012, ACCOUNTS CHEM RES, V45, P1593, DOI 10.1021/ar300067g
Sebastián M, 2016, ISME J, V10, P968, DOI 10.1038/ismej.2015.172
Sohlenkamp C, 2003, PROG LIPID RES, V42, P115, DOI 10.1016/S0163-7827(02)00050-4
van Hulten M, 2017, BIOGEOSCIENCES, V14, P1123, DOI 10.5194/bg-14-1123-2017
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Wenderl BM, 2018, P NATL ACAD SCI USA, V115, P349, DOI 10.1073/pnas.1715960114
Zavaleta-Pastor M, 2010, P NATL ACAD SCI USA, V107, P302, DOI 10.1073/pnas.0912930107
NR 32
TC 14
Z9 15
PD AUG
PY 2018
VL 84
IS 15
AR e01109
DI 10.1128/AEM.01109-18
UT WOS:000438891500020
DA 2025-07-30
ER
PT J
AU Laghdass, M
Catala, P
Caparros, J
Oriol, L
Lebaron, P
Obernosterer, I
AF Laghdass, Melissa
Catala, Philippe
Caparros, Jocelyne
Oriol, Louise
Lebaron, Philippe
Obernosterer, Ingrid
TI High Contribution of SAR11 to Microbial Activity in the North West
Mediterranean Sea
SO MICROBIAL ECOLOGY
DT Article
AB We investigated the abundance and activity of SAR11 on a monthly time scale between January 2008 and October 2008 in the oligotrophic NW Mediterranean Sea. Applying MICRO-CARD-FISH, we observed that SAR11 had a large contribution to bulk abundance (37 +/- 6% of DAPI-stained cells) and to bulk bacterial heterotrophic production (BHP), as estimated from leucine incorporation (55 +/- 15% of DAPI-cells assimilating leucine) in surface waters (5 m) throughout the study period. SAR11 contributed also substantially to the assimilation of glucose, ATP, and a combination of amino acids (44 +/- 17%, 37 +/- 14%, and 43 +/- 12% of DAPI cells assimilating these compounds, respectively), organic compounds that provide either single or combined sources of C, P, and N. Temporal changes in the abundance of SAR11 cells that assimilated leucine, glucose, amino acids, and ATP revealed a pattern consistent with that of substrate-active DAPI cells, suggesting that the activity of SAR11 can explain to a large extent the variability in total cells contributing to the utilization of these compounds. Short-term nutrient enrichment experiments performed on each sampling date revealed a strong co-limitation of at least two of the three elements analyzed (C, N, P), in particular, during summer and early autumn. The in situ abundance of SAR11 cells assimilating leucine appeared to increase with P limitation as determined in the nutrient enrichment experiments (r = 0.81, p = 0.015). Our results demonstrate that SAR11 is an important component of the active bacterial community in the NW Mediterranean Sea. Our observations further indicate that the activity of the bulk bacterial community is linked to the activity of SAR11, possibly due to its adaptation to nutrient limitation.
C1 [Laghdass, Melissa; Catala, Philippe; Caparros, Jocelyne; Oriol, Louise; Lebaron, Philippe; Obernosterer, Ingrid] CNRS, UMR 7621, LOM, Observ Oceanol, F-66650 Banyuls Sur Mer, France.
[Laghdass, Melissa; Catala, Philippe; Caparros, Jocelyne; Oriol, Louise; Lebaron, Philippe; Obernosterer, Ingrid] UPMC Univ Paris 06, UMR 7621, LOM, Observ Oceanol, F-66650 Banyuls Sur Mer, France.
RP Obernosterer, I (corresponding author), CNRS, UMR 7621, LOM, Observ Oceanol, F-66650 Banyuls Sur Mer, France.
EM ingrid.obernosterer@obs-banyuls.fr
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
[Anonymous], 1993, Handbook of Methods in Aquatic Microbial Ecology. Eds
BENNER R, 1993, MAR CHEM, V41, P153, DOI 10.1016/0304-4203(93)90113-3
Carlson C.A., 2002, BIOGEOCHEMISTRY MARI
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
COPINMONTEGUT G, 1993, DEEP-SEA RES PT I, V40, P1963, DOI 10.1016/0967-0637(93)90041-Z
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DOLAN JR, 1995, OPHELIA, V41, P71, DOI 10.1080/00785236.1995.10422038
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Joint I, 2002, AQUAT MICROB ECOL, V29, P145, DOI 10.3354/ame029145
Kirchman DL, 1997, MICROBIAL ECOL, V33, P11, DOI 10.1007/s002489900003
Laghdass M, 2010, ENV MICROBIOL REP, V2, P761, DOI 10.1111/j.1758-2229.2010.00181.x
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Lami R, 2009, AQUAT MICROB ECOL, V54, P199, DOI 10.3354/ame01264
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lebaron P, 1998, APPL ENVIRON MICROB, V64, P1725
Lemée R, 2002, AQUAT MICROB ECOL, V29, P227, DOI 10.3354/ame029227
Longnecker K, 2010, ENVIRON MICROBIOL, V12, P2773, DOI 10.1111/j.1462-2920.2010.02247.x
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Obernosterer I, 2003, AQUAT MICROB ECOL, V32, P229, DOI 10.3354/ame032229
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
PUJOPAY M, 1994, MAR ECOL PROG SER, V105, P203, DOI 10.3354/meps105203
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rivkin RB, 1997, LIMNOL OCEANOGR, V42, P730, DOI 10.4319/lo.1997.42.4.0730
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Tanaka T, 2004, LIMNOL OCEANOGR, V49, P1063, DOI 10.4319/lo.2004.49.4.1063
Teira E, 2006, LIMNOL OCEANOGR, V51, P2131, DOI 10.4319/lo.2006.51.5.2131
Teira E, 2011, MAR ECOL PROG SER, V426, P87, DOI 10.3354/meps09008
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Thingstad TF, 1998, LIMNOL OCEANOGR, V43, P88, DOI 10.4319/lo.1998.43.1.0088
Treguer P., 1975, Manuel d'analyse des Sels Nutritifs Dans l'eau de Mer, P110
Van Wambeke F, 2008, BIOGEOSCIENCES, V5, P157, DOI 10.5194/bg-5-157-2008
Van Wambeke F, 2002, MICROB ECOL, V43, P119, DOI 10.1007/s00248-001-0038-4
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Zohary T, 1998, LIMNOL OCEANOGR, V43, P387, DOI 10.4319/lo.1998.43.3.0387
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
NR 63
TC 21
Z9 22
PD FEB
PY 2012
VL 63
IS 2
BP 324
EP 333
DI 10.1007/s00248-011-9915-7
UT WOS:000300316500008
DA 2025-07-30
ER
PT J
AU Tada, Y
Makabe, R
Kasamatsu-Takazawa, N
Taniguchi, A
Hamasaki, K
AF Tada, Yuya
Makabe, Ryosuke
Kasamatsu-Takazawa, Nobue
Taniguchi, Akito
Hamasaki, Koji
TI Growth and distribution patterns of
Roseobacter/Rhodobacter, SAR11, and Bacteroidetes
lineages in the Southern Ocean
SO POLAR BIOLOGY
DT Article
AB Roseobacter/Rhodobacter and SAR11, affiliated with Alphaproteobacteria, and the phylum Bacteroidetes constitute a large proportion of marine planktonic bacteria, but information about their growth and distribution patterns in the Southern Ocean is scarce. The aim of the present study is to determine patterns in the biomass and productivity of Roseobacter/Rhodobacter, SAR11, and Bacteroidetes groups along the steep temperature, salinity, and organic matter gradients in the Southern Ocean by using catalyzed reporter deposition-fluorescence in situ hybridization and bromodeoxyuridine (BrdU) immunocytochemistry FISH. We found that Roseobacter/Rhodobacter, SAR11, and Bacteroidetes are prominent contributors to total bacterial biomass and production. SAR11 bacteria were the predominant lineage, but their biomass was low in the coldest regions. In contrast, the biomasses of Roseobacter/Rhodobacter and Bacteroidetes lineages were positively correlated with organic matter concentrations. The Roseobacter/Rhodobacter had the highest proportion of BrdU-positive (i.e., actively growing) cells among the three phylotypes at all stations, despite their low abundance. The relative contribution of Bacteroidetes to the total bacterial productivity (number of active cells) was negatively correlated with temperature. These results suggest that the growth and distribution patterns of Roseobacter/Rhodobacter, SAR11, and Bacteroidetes were determined by different environmental gradients (e.g., organic matter concentrations or temperature) in the Southern Ocean.
C1 [Tada, Yuya; Hamasaki, Koji] Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba 2778564, Japan.
[Makabe, Ryosuke] Hiroshima Univ, Grad Sch Biosphere Sci, Hiroshima 7398528, Japan.
[Kasamatsu-Takazawa, Nobue] Tokyo Univ Marine Sci & Technol, Dept Ocean Sci, Minato Ku, Tokyo 1088477, Japan.
[Taniguchi, Akito] Kinki Univ, Grad Sch Agr, Nara 6318505, Japan.
RP Tada, Y (corresponding author), Univ Tokyo, Atmosphere & Ocean Res Inst, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778564, Japan.
EM yatada@aori.u-tokyo.ac.jp
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
BJORNSEN PK, 1991, MAR ECOL PROG SER, V71, P185, DOI 10.3354/meps071185
Bowman JP, 1997, INT J SYST BACTERIOL, V47, P670, DOI 10.1099/00207713-47-3-670
Bowman JP, 1997, APPL ENVIRON MICROB, V63, P3068, DOI 10.1128/AEM.63.8.3068-3078.1997
Brown SL, 2001, J GEOPHYS RES-OCEANS, V106, P13917, DOI 10.1029/1999JC000188
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Ducklow H, 2001, DEEP-SEA RES PT II, V48, P4199, DOI 10.1016/S0967-0645(01)00086-8
Ducklow HW, 2012, J MARINE SYST, V98-99, P26, DOI 10.1016/j.jmarsys.2012.03.003
Ducklow HW, 2000, DEEP-SEA RES PT II, V47, P3227, DOI 10.1016/S0967-0645(00)00066-7
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Fazi S, 2008, ENVIRON MICROBIOL, V10, P2760, DOI 10.1111/j.1462-2920.2008.01695.x
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giuliano L, 1999, MICROBIAL ECOL, V37, P77
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gosink JJ, 1998, INT J SYST BACTERIOL, V48, P223, DOI 10.1099/00207713-48-1-223
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Hamasaki K, 2004, AQUAT MICROB ECOL, V35, P217, DOI 10.3354/ame035217
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Lami R, 2007, APPL ENVIRON MICROB, V73, P4198, DOI 10.1128/AEM.02652-06
Lochte K, 1997, DEEP-SEA RES PT II, V44, P321, DOI 10.1016/S0967-0645(96)00081-1
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
MARR D, 1980, PROC R SOC SER B-BIO, V207, P187, DOI 10.1098/rspb.1980.0020
Maruyama A, 2000, APPL ENVIRON MICROB, V66, P2211, DOI 10.1128/AEM.66.5.2211-2215.2000
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
ORSI AH, 1995, DEEP-SEA RES PT I, V42, P641, DOI 10.1016/0967-0637(95)00021-W
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P5728, DOI 10.1128/AEM.68.11.5728-5736.2002
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
SIERACKI ME, 1989, APPL ENVIRON MICROB, V55, P2762, DOI 10.1128/AEM.55.11.2762-2772.1989
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Smith EM, 2003, AQUAT MICROB ECOL, V31, P203, DOI 10.3354/ame031203
Steward GF, 1999, AQUAT MICROB ECOL, V19, P57, DOI 10.3354/ame019057
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Straza TRA, 2009, APPL ENVIRON MICROB, V75, P4028, DOI 10.1128/AEM.00183-09
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
SUZUKI R, 1990, Journal of the Oceanographical Society of Japan, V46, P190, DOI 10.1007/BF02125580
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Tada Y, 2010, AQUAT MICROB ECOL, V59, P229, DOI 10.3354/ame01412
Tada Y, 2009, MICROBES ENVIRON, V24, P315, DOI 10.1264/jsme2.ME09162
Taniguchi A, 2008, ENVIRON MICROBIOL, V10, P1007, DOI 10.1111/j.1462-2920.2007.01521.x
Teira E, 2012, DEEP-SEA RES PT I, V69, P70, DOI 10.1016/j.dsr.2012.07.002
Topping JN, 2006, AQUAT MICROB ECOL, V45, P229, DOI 10.3354/ame045229
Urbach E, 1999, APPL ENVIRON MICROB, V65, P1207
Vila-Costa M, 2008, J MARINE SYST, V74, P957, DOI 10.1016/j.jmarsys.2007.10.006
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Zeder M, 2009, ENVIRON MICROBIOL, V11, P2676, DOI 10.1111/j.1462-2920.2009.01994.x
NR 72
TC 16
Z9 17
PD MAY
PY 2013
VL 36
IS 5
BP 691
EP 704
DI 10.1007/s00300-013-1294-8
UT WOS:000317858500006
DA 2025-07-30
ER
PT J
AU Dinasquet, J
Landa, M
Obernosterer, II
AF Dinasquet, Julie
Landa, Marine
Obernosterer, I. Ingrid
TI SAR11 clade microdiversity and activity during the early spring blooms
off Kerguelen Island, Southern Ocean
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB The ecology of the SAR11 clade, the most abundant bacterial group in the ocean, has been intensively studied in temperate and tropical regions, but its distribution remains largely unexplored in the Southern Ocean. Through amplicon sequencing of the 16S rRNA gene, we assessed the contribution of the SAR11 clade to bacterial community composition in the naturally iron fertilized region off Kerguelen Island. We investigated the upper 300 m at seven sites located in early spring phytoplankton blooms and at one high-nutrient low-chlorophyll site. Despite pronounced vertical patterns of the bacterioplankton assemblages, the SAR11 clade had high relative abundances at all depths and sites, averaging 40% (+/- 15%) of the total community relative abundance. Micro-autoradiography combined with CARD-FISH further revealed that the clade had an overall stable contribution (45%-60% in surface waters) to bacterial biomass production (determined by H-3-leucine incorporation) during different early bloom stages. The spatio-temporal partitioning of some of the SAR11 subclades suggests a niche specificity and periodic selection of different subclades in response to the fluctuating extreme conditions of the Southern Ocean. These observations improve our understanding of the ecology of the SAR11 clade and its implications in biogeochemical cycles in the rapidly changing Southern Ocean.
C1 [Dinasquet, Julie; Landa, Marine; Obernosterer, I. Ingrid] Sorbonne Univ, Lab Oceanog Microbienne, LOMIC, CNRS, Banyuls Sur Mer, France.
[Dinasquet, Julie] Scripps Inst Oceanog, Marine Biol Res Div, San Diego, CA USA.
[Dinasquet, Julie] Scripps Inst Oceanog, Climate Atmospher Sci & Phys Oceanog Dept, San Diego, CA USA.
[Landa, Marine] Sorbonne Univ, CNRS, Adaptat & Diversite Milieu Marin, UMR7144,Stn Biol Roscoff, Roscoff, France.
RP Dinasquet, J (corresponding author), Scripps Inst Oceanog, Biol Grade, Hubbs Hall, La Jolla, CA 92037 USA.
EM jdinasquet@ucsd.edu
CR Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Beier S, 2015, ENV MICROBIOL REP, V7, P427, DOI 10.1111/1758-2229.12267
Bertrand EM, 2007, LIMNOL OCEANOGR, V52, P1079, DOI 10.4319/lo.2007.52.3.1079
Blain S, 2015, BIOGEOSCIENCES, V12, P623, DOI 10.5194/bg-12-623-2015
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Caporaso JG, 2010, BIOINFORMATICS, V26, P266, DOI 10.1093/bioinformatics/btp636
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Christaki U, 2014, BIOGEOSCIENCES, V11, P6739, DOI 10.5194/bg-11-6739-2014
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
Debeljak P, 2019, ENVIRON MICROBIOL, V21, P2360, DOI 10.1111/1462-2920.14621
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fourquez M, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00256
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hernandez-Magana AE, 2021, J MARINE SYST, V221, DOI 10.1016/j.jmarsys.2021.103561
Hogle SL, 2016, APPL ENVIRON MICROB, V82, P1613, DOI 10.1128/AEM.03128-15
Hopkinson BM, 2012, ENVIRON MICROBIOL, V14, P114, DOI 10.1111/j.1462-2920.2011.02539.x
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Jing HM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0079423
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Landa M, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy034
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lasbleiz M, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw171
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
Liu Y, 2019, ENVIRON MICROBIOL, V21, P1452, DOI 10.1111/1462-2920.14579
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
Moore ER, 2022, ENVIRON MICROBIOL, V24, P212, DOI 10.1111/1462-2920.15837
Moore ER, 2020, ENVIRON MICROBIOL, V22, P1720, DOI 10.1111/1462-2920.14861
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Obernosterer I, 2015, BIOGEOSCIENCES, V12, P1983, DOI 10.5194/bg-12-1983-2015
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Ortmann AC, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw133
Park YH, 2014, J GEOPHYS RES-OCEANS, V119, P6575, DOI 10.1002/2014JC010061
Pollard RT, 2009, NATURE, V457, P577, DOI 10.1038/nature07716
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Quéroué F, 2015, BIOGEOSCIENCES, V12, P3869, DOI 10.5194/bg-12-3869-2015
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ruiz-Perez CA, 2021, SYST APPL MICROBIOL, V44, DOI 10.1016/j.syapm.2021.126185
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Sow SLS, 2022, ENVIRON MICROBIOL, V24, P2449, DOI 10.1111/1462-2920.15906
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sun Y, 2021, ISME J, V15, P2933, DOI 10.1038/s41396-021-00973-3
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tada Y, 2013, POLAR BIOL, V36, P691, DOI 10.1007/s00300-013-1294-8
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tremblay L, 2015, BIOGEOSCIENCES, V12, P607, DOI 10.5194/bg-12-607-2015
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tucker SJ, 2021, PEERJ, V9, DOI 10.7717/peerj.12274
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
NR 72
TC 7
Z9 7
PD DEC
PY 2022
VL 14
IS 6
BP 907
EP 916
DI 10.1111/1758-2229.13117
EA AUG 2022
UT WOS:000846495500001
DA 2025-07-30
ER
PT J
AU Malmstrom, RR
Cottrell, MT
Elifantz, H
Kirchman, DL
AF Malmstrom, RR
Cottrell, MT
Elifantz, H
Kirchman, DL
TI Biomass production and assimilation of dissolved organic matter by SAR11
bacteria in the Northwest Atlantic Ocean
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Members of the SAR11 clade often dominate the composition of marine microbial communities, yet their contribution to biomass production and the flux of dissolved organic matter (DOM) is unclear. In addition, little is known about the specific components of the DOM pool utilized by SAR11 bacteria. To better understand the role of SAR11 bacteria in the flux of DOM, we examined the assimilation of leucine (a measure of biomass production), as well as free amino acids, protein, and glucose, by SAR11 bacteria in the Northwest Atlantic Ocean. We found that when SAR11 bacteria were > 25 % of total prokaryotes, they accounted for about 30 to 50 % of leucine incorporation, suggesting that SARII bacteria were major contributors to bacterial biomass production and the DOM flux. Specific growth rates of SAR11 bacteria either equaled or exceeded growth rates for the total prokaryotic community. In addition, SAR11 bacteria were typically responsible for a greater portion of amino acid assimilation (34 to 61 %) and glucose assimilation (45 to 57 %) than of protein assimilation (<= 34 %). These data suggest that SAR11 bacteria do not utilize various components of the DOM pool equally and may be more important to the flux of low-molecular-weight monomers than to that of high-molecular-weight polymers.
C1 Univ Delaware, Coll Marine Studies, Lewes, DE 19958 USA.
RP Univ Delaware, Coll Marine Studies, Lewes, DE 19958 USA.
EM kirchman@cms.udel.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Amon RMW, 1996, LIMNOL OCEANOGR, V41, P41, DOI 10.4319/lo.1996.41.1.0041
Cohan FM, 2002, ANNU REV MICROBIOL, V56, P457, DOI 10.1146/annurev.micro.56.012302.160634
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S, 2004, NATURE, V430, P515, DOI 10.1038/430515a
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
KEIL RG, 1991, MAR ECOL PROG SER, V73, P1, DOI 10.3354/meps073001
Keil RG, 1999, AQUAT MICROB ECOL, V18, P293, DOI 10.3354/ame018293
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kirchman D.L., 2003, Aquatic ecosystems: interactivity of dissolved organic matter, P218
Kirchman DL, 1997, MICROBIAL ECOL, V33, P11, DOI 10.1007/s002489900003
KIRCHMAN DL, IN PRESS LIMNOL OCEA
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Massana R, 1997, SCI MAR, V61, P397
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nagata T, 1998, AQUAT MICROB ECOL, V14, P29, DOI 10.3354/ame014029
Nielsen JL, 2003, ENVIRON MICROBIOL, V5, P202, DOI 10.1046/j.1462-2920.2003.00402.x
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rich JH, 1996, LIMNOL OCEANOGR, V41, P595, DOI 10.4319/lo.1996.41.4.0595
SIERACKI ME, 1985, APPL ENVIRON MICROB, V49, P799, DOI 10.1128/AEM.49.4.799-810.1985
SIERACKI ME, 1989, CYTOMETRY, V10, P551, DOI 10.1002/cyto.990100510
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
NR 35
TC 141
Z9 155
PD JUN
PY 2005
VL 71
IS 6
BP 2979
EP 2986
DI 10.1128/AEM.71.6.2979-2986.2005
UT WOS:000229790900023
DA 2025-07-30
ER
PT J
AU Zaremba-Niedzwiedzka, K
Viklund, J
Zhao, WZ
Ast, J
Sczyrba, A
Woyke, T
McMahon, K
Bertilsson, S
Stepanauskas, R
Andersson, SGE
AF Zaremba-Niedzwiedzka, Katarzyna
Viklund, Johan
Zhao, Weizhou
Ast, Jennifer
Sczyrba, Alexander
Woyke, Tanja
McMahon, Katherina
Bertilsson, Stefan
Stepanauskas, Ramunas
Andersson, Siv G. E.
TI Single-cell genomics reveal low recombination frequencies in freshwater
bacteria of the SAR11 clade
SO GENOME BIOLOGY
DT Article
AB Background: The SAR11 group of Alphaproteobacteria is highly abundant in the oceans. It contains a recently diverged freshwater clade, which offers the opportunity to compare adaptations to salt-and freshwaters in a monophyletic bacterial group. However, there are no cultivated members of the freshwater SAR11 group and no genomes have been sequenced yet.
Results: We isolated ten single SAR11 cells from three freshwater lakes and sequenced and assembled their genomes. A phylogeny based on 57 proteins indicates that the cells are organized into distinct microclusters. We show that the freshwater genomes have evolved primarily by the accumulation of nucleotide substitutions and that they have among the lowest ratio of recombination to mutation estimated for bacteria. In contrast, members of the marine SAR11 clade have one of the highest ratios. Additional metagenome reads from six lakes confirm low recombination frequencies for the genome overall and reveal lake-specific variations in microcluster abundances. We identify hypervariable regions with gene contents broadly similar to those in the hypervariable regions of the marine isolates, containing genes putatively coding for cell surface molecules.
Conclusions: We conclude that recombination rates differ dramatically in phylogenetic sister groups of the SAR11 clade adapted to freshwater and marine ecosystems. The results suggest that the transition from marine to freshwater systems has purged diversity and resulted in reduced opportunities for recombination with divergent members of the clade. The low recombination frequencies of the LD12 clade resemble the low genetic divergence of host-restricted pathogens that have recently shifted to a new host.
C1 [Zaremba-Niedzwiedzka, Katarzyna; Viklund, Johan; Zhao, Weizhou; Ast, Jennifer; Andersson, Siv G. E.] Uppsala Univ, Dept Mol Evolut, S-75124 Uppsala, Sweden.
[Zaremba-Niedzwiedzka, Katarzyna; Viklund, Johan; Zhao, Weizhou; Ast, Jennifer; Andersson, Siv G. E.] Uppsala Univ, Sci Life Lab, S-75124 Uppsala, Sweden.
[Sczyrba, Alexander] Univ Bielefeld, Ctr Biotechnol, D-33501 Bielefeld, Germany.
[Woyke, Tanja] US DOE, Joint Genome Inst, Walnut Creek, CA 94598 USA.
[McMahon, Katherina] Univ Wisconsin, Dept Civil & Environm Engn, Madison, WI 53706 USA.
[McMahon, Katherina] Univ Wisconsin, Dept Bacteriol, Madison, WI 53706 USA.
[Bertilsson, Stefan] Uppsala Univ, Dept Ecol & Genet, Limnol & Sci Life Lab, S-75236 Uppsala, Sweden.
[Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
RP Andersson, SGE (corresponding author), Uppsala Univ, Dept Mol Evolut, S-75124 Uppsala, Sweden.
EM Siv.Andersson@icm.uu.se
CR Abascal F, 2010, NUCLEIC ACIDS RES, V38, pW7, DOI 10.1093/nar/gkq291
Achtman M, 1999, P NATL ACAD SCI USA, V96, P14043, DOI 10.1073/pnas.96.24.14043
Achtman M, 2008, ANNU REV MICROBIOL, V62, P53, DOI 10.1146/annurev.micro.62.081307.162832
Achtman M, 2012, PHILOS T R SOC B, V367, P860, DOI 10.1098/rstb.2011.0303
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Comas I, 2010, NAT GENET, V42, P498, DOI 10.1038/ng.590
Darling AE, 2010, PLOS ONE, V5
Darriba D, 2011, BIOINFORMATICS, V27, P1164, DOI 10.1093/bioinformatics/btr088
Didelot X, 2007, GENETICS, V175, P1251, DOI 10.1534/genetics.106.063305
Didelot X, 2009, SYST APPL MICROBIOL, V32, P81, DOI 10.1016/j.syapm.2009.01.001
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gnerre S, 2011, P NATL ACAD SCI USA, V108, P1513, DOI 10.1073/pnas.1017351108
Godoy D, 2003, J CLIN MICROBIOL, V41, P2068, DOI 10.1128/JCM.41.5.2068-2079.2003
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Guy L, 2010, BIOINFORMATICS, V26, P2334, DOI 10.1093/bioinformatics/btq413
Holt KE, 2008, NAT GENET, V40, P987, DOI 10.1038/ng.195
Johnson PLF, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000674
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Katoh K, 2005, NUCLEIC ACIDS RES, V33, P511, DOI 10.1093/nar/gki198
Katoh K, 2008, BRIEF BIOINFORM, V9, P286, DOI 10.1093/bib/bbn013
Kurtz S, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-2-r12
Lasken RS, 2012, NAT REV MICROBIOL, V10, P631, DOI 10.1038/nrmicro2857
Li H, 2013, MOL ECOL, V22, P2118, DOI 10.1111/mec.12261
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Markowitz VM, 2012, NUCLEIC ACIDS RES, V40, pD115, DOI 10.1093/nar/gkr1044
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stepanauskas R, 2012, CURR OPIN MICROBIOL, V15, P613, DOI 10.1016/j.mib.2012.09.001
Stöver BC, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-7
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Vos M, 2009, ISME J, V3, P199, DOI 10.1038/ismej.2008.93
Yang ZH, 2000, MOL BIOL EVOL, V17, P32, DOI 10.1093/oxfordjournals.molbev.a026236
Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
Zerbino DR, 2008, GENOME RES, V18, P821, DOI 10.1101/gr.074492.107
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 47
TC 59
Z9 65
PY 2013
VL 14
IS 11
AR R130
DI 10.1186/gb-2013-14-11-r130
UT WOS:000330616200009
DA 2025-07-30
ER
PT J
AU Field, KG
Gordon, D
Wright, T
Rappe, M
Urbach, E
Vergin, K
Giovannoni, SJ
AF Field, KG
Gordon, D
Wright, T
Rappe, M
Urbach, E
Vergin, K
Giovannoni, SJ
TI Diversity and depth-specific distribution of SAR11 cluster rRNA genes
from marine planktonic bacteria
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Small-subunit (SSU) ribosomal DNA (rDNA) gene clusters are phylogenetically related sets of SSU rRNA genes, commonly encountered in genes amplified from natural populations. Genetic variability in gene clusters could result from artifacts (polymerase error or PCR chimera formation), microevolution (variation among rrn copies within strains), or macroevolution (genetic divergence correlated with long-term evolutionary divergence). To better understand gene clusters, this study assessed genetic diversity and distribution of a single environmental SSU rDNA gene cluster, the SAR11 cluster. SAR11 cluster genes, from an uncultured group of the a subclass of the class Proteobacteria, have been recovered from coastal and midoceanic waters of the North Atlantic and Pacific. We cloned and bidirectionally sequenced 23 new SAR11 cluster 16S rRNA genes, from 80 and 250 m in the Sargasso Sea and from surface coastal waters of the Atlantic and Pacific, and analyzed them with previously published sequences. Two SAR11 genes were obviously PCR chimeras, but the biological (nonchimeric) origins of most subgroups, within the cluster were confirmed by independent recovery from separate gene libraries. Using group-specific oligonucleotide probes, we analyzed depth profiles of nucleic acids, targeting both amplified rDNAs and bulk RNAs. Two subgroups within the SAR11 cluster showed different highly depth-specific distributions. We conclude that some of the genetic diversity, within the SAR11 gene cluster represents macroevolutionary divergence correlated with niche specialization. Furthermore, we demonstrate the utility for marine microbial ecology of oligonucleotide probes based on gene sequences amplified from natural populations and show that a detailed knowledge of sequence variability may be needed to effectively design these probes.
RP Field, KG (corresponding author), OREGON STATE UNIV,DEPT MICROBIOL,CORVALLIS,OR 97331, USA.
CR Amann R, 1996, J BACTERIOL, V178, P3496, DOI 10.1128/jb.178.12.3496-3500.1996
Arnheim N., 1983, P38
BARNS SM, 1994, P NATL ACAD SCI USA, V91, P1609, DOI 10.1073/pnas.91.5.1609
BASCUNANA CR, 1994, J BACTERIOL, V176, P2577
BIRNBOIM HC, 1979, NUCLEIC ACIDS RES, V7, P1513
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1313
CHOI BK, 1994, INFECT IMMUN, V62, P1889, DOI 10.1128/IAI.62.5.1889-1895.1994
Cilia V, 1996, MOL BIOL EVOL, V13, P451, DOI 10.1093/oxfordjournals.molbev.a025606
COLLINS MD, 1989, INT J SYST BACTERIOL, V39, P1, DOI 10.1099/00207713-39-1-1
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DRYDEN SC, 1990, NUCLEIC ACIDS RES, V18, P7267, DOI 10.1093/nar/18.24.7267
FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
Felsenstein J., 1991, PHYLIP
FLEISCHMANN RD, 1995, SCIENCE, V269, P496, DOI 10.1126/science.7542800
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Hales BA, 1996, APPL ENVIRON MICROB, V62, P668, DOI 10.1128/AEM.62.2.668-675.1996
KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
KOPCZYNSKI ED, 1994, APPL ENVIRON MICROB, V60, P746, DOI 10.1128/AEM.60.2.746-748.1994
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
LARSEN N, 1993, NUCLEIC ACIDS RES, V21, P3021, DOI 10.1093/nar/21.13.3021
LIESACK W, 1991, MICROBIAL ECOL, V21, P191, DOI 10.1007/BF02539153
MAIDAK BL, 1994, NUCLEIC ACIDS RES, V22, P3485, DOI 10.1093/nar/22.17.3485
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
MYLVAGANAM S, 1992, GENETICS, V130, P399
Ohkuma M, 1996, APPL ENVIRON MICROB, V62, P461, DOI 10.1128/AEM.62.2.461-468.1996
OHTA T, 1991, J MOL EVOL, V33, P34, DOI 10.1007/BF02100193
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Pedersen K, 1996, MOL ECOL, V5, P427, DOI 10.1111/j.1365-294X.1996.tb00332.x
Pettersson B, 1996, J BACTERIOL, V178, P4131, DOI 10.1128/jb.178.14.4131-4142.1996
PETTERSSON B, 1994, APPL ENVIRON MICROB, V60, P2456, DOI 10.1128/AEM.60.7.2456-2461.1994
Rappe MS, 1995, J PHYCOL, V31, P979, DOI 10.1111/j.0022-3646.1995.00979.x
RASKIN L, 1994, APPL ENVIRON MICROB, V60, P1232, DOI 10.1128/AEM.60.4.1232-1240.1994
REYSENBACH AL, 1994, APPL ENVIRON MICROB, V60, P2113, DOI 10.1128/AEM.60.6.2113-2119.1994
ROBISONCOX JF, 1995, APPL ENVIRON MICROB, V61, P1240, DOI 10.1128/AEM.61.4.1240-1245.1995
SAIKI RK, 1988, SCIENCE, V239, P487, DOI 10.1126/science.2448875
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Sambrook J., 1989, MOL CLONING LAB MANU
SANGER F, 1977, P NATL ACAD SCI USA, V74, P5463, DOI 10.1073/pnas.74.12.5463
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
SCHMIDT TM, IN PRESS BACTERIA GE
SCHULDINER AR, 1989, NUCLEIC ACIDS RES, V17, P4409
SWOFFORD DL, 1991, PAUP VERSION 3
WARD DM, 1990, NATURE, V345, P63, DOI 10.1038/345063a0
WARD DM, 1992, ADV MICROB ECOL, V12, P219
WHITMORE S, UNPUB
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
WOESE CR, UNPUB RIBOSOMAL DATA
ZIMMER EA, 1980, P NATL ACAD SCI-BIOL, V77, P2158, DOI 10.1073/pnas.77.4.2158
NR 50
TC 231
Z9 247
PD JAN
PY 1997
VL 63
IS 1
BP 63
EP 70
DI 10.1128/AEM.63.1.63-70.1997
UT WOS:A1997WA16800011
DA 2025-07-30
ER
PT J
AU Oh, S
Zhang, R
Wu, QL
Liu, WT
AF Oh, Seungdae
Zhang, Rui
Wu, Qinglong L.
Liu, Wen-Tso
TI Evolution and adaptation of SAR11 and Cyanobium in a saline
Tibetan lake
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Lake Qinghai is a unique lacustrine ecosystem located on the Tibetan Plateau and exhibits oligotrophic, alkaline, and saline conditions. Previous studies have focused on the community phylogenetic diversity of bacterioplankton in the ecosystem. This study aimed to address the ecotype diversity of bacterioplankton populations in the unique microbial habitat, using metagenomic sequencing and analysis. Phylogenetic analysis revealed two major bacterial populations: SAR11 IIIa (14% of the total) and Cyanobium (14%). Although the two populations shared high 16S rRNA gene sequence identity (> 98% identity) with their closest marine counterparts, they displayed substantial genomic divergence (<= 80% average amino acid sequence identity). Comparative genomic analysis identified conservation of carbon and energy storage metabolism (biosynthesis of polyphosphate and polyhydroxyalkanoate) gene operons in the SAR11 IIIa and a cyanate (potential nitrogen source in alkaline conditions) transporter gene operon in the Cyanobium. We further identified genetic signature of positive selection acting on an exodeoxyribonuclease gene of the SAR11 IIIa popula-tion, which is potentially associated with DNA repair responsive to strong UV radiation on the high altitude mountain. Taken together, our results revealed the ecosystem-specific gene content of the bacterioplankton populations and provided new insights into their adaptations unique to the Tibetan lake.
C1 [Oh, Seungdae] Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore, Singapore.
[Oh, Seungdae; Liu, Wen-Tso] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL USA.
[Zhang, Rui] Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen, Fuijan, Peoples R China.
[Zhang, Rui] Xiamen Univ, Inst Marine Microbes & Ecospheres, Xiamen, Fuijan, Peoples R China.
[Wu, Qinglong L.] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing, Jiangsu, Peoples R China.
RP Liu, WT (corresponding author), Univ Illinois, Dept Civil & Environm Engn, Urbana, IL USA.
EM wtliu@illinois.edu
CR Blumthaler M, 1997, J PHOTOCH PHOTOBIO B, V39, P130, DOI 10.1016/S1011-1344(96)00018-8
Caro-Quintero A, 2009, J BACTERIOL, V191, P5824, DOI 10.1128/JB.00519-09
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Cox MP, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-485
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2014, ENVIRON MICROBIOL, V16, P2682, DOI 10.1111/1462-2920.12301
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Greenberg A.E., 1992, STANDARD METHODS EXA
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Jiang HC, 2010, EXTREMOPHILES, V14, P367, DOI 10.1007/s00792-010-0316-5
Jiang HC, 2009, FEMS MICROBIOL ECOL, V67, P268, DOI 10.1111/j.1574-6941.2008.00616.x
Kamennaya NA, 2008, LIMNOL OCEANOGR, V53, P2485, DOI 10.4319/lo.2008.53.6.2485
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oh S., 2014, GENOME ANNOUNC, V2, P10
Oh S, 2014, APPL ENVIRON MICROB, V80, P5892, DOI 10.1128/AEM.01255-14
Oh S, 2013, ENVIRON MICROBIOL, V15, P2850, DOI 10.1111/1462-2920.12154
Oh S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047005
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Poleszak K, 2012, NUCLEIC ACIDS RES, V40, P8163, DOI 10.1093/nar/gks547
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Ramette A, 2007, MICROB ECOL, V53, P197, DOI 10.1007/s00248-005-5010-2
Ren Q, 2002, J BIOL CHEM, V277, P7657, DOI 10.1074/jbc.M110979200
Repar J, 2013, MUTAT RES-GEN TOX EN, V750, P96, DOI 10.1016/j.mrgentox.2012.10.005
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Santos SR, 2004, ENVIRON MICROBIOL, V6, P754, DOI 10.1111/j.1462-2920.2004.00617.x
Schmid K, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003746
Suyama M, 2006, NUCLEIC ACIDS RES, V34, pW609, DOI 10.1093/nar/gkl315
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wu QL, 2006, APPL ENVIRON MICROB, V72, P5478, DOI 10.1128/AEM.00767-06
Wu QLL, 2010, MICROB ECOL, V59, P614, DOI 10.1007/s00248-009-9603-z
Wu YW, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-26
Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
Yau S, 2011, P NATL ACAD SCI USA, V108, P6163, DOI 10.1073/pnas.1018221108
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhang R, 2013, FEMS MICROBIOL ECOL, V86, P277, DOI 10.1111/1574-6941.12160
Zhao YG, 2003, J BIOL CHEM, V278, P2356, DOI 10.1074/jbc.M209681200
Zhu Wenhan, 2010, Nucleic Acids Res, V38, pe132, DOI 10.1093/nar/gkq275
NR 45
TC 8
Z9 8
PD OCT
PY 2016
VL 8
IS 5
SI SI
BP 595
EP 604
DI 10.1111/1758-2229.12408
UT WOS:000395002300012
DA 2025-07-30
ER
PT J
AU Grote, J
Thrash, JC
Huggett, MJ
Landry, ZC
Carini, P
Giovannoni, SJ
Rappé, MS
AF Grote, Jana
Thrash, J. Cameron
Huggett, Megan J.
Landry, Zachary C.
Carini, Paul
Giovannoni, Stephen J.
Rappe, Michael S.
TI Streamlining and Core Genome Conservation among Highly Divergent Members
of the SAR11 Clade
SO MBIO
DT Article
AB SAR11 is an ancient and diverse clade of heterotrophic bacteria that are abundant throughout the world's oceans, where they play a major role in the ocean carbon cycle. Correlations between the phylogenetic branching order and spatiotemporal patterns in cell distributions from planktonic ocean environments indicate that SAR11 has evolved into perhaps a dozen or more specialized ecotypes that span evolutionary distances equivalent to a bacterial order. We isolated and sequenced genomes from diverse SAR11 cultures that represent three major lineages and encompass the full breadth of the clade. The new data expand observations about genome evolution and gene content that previously had been restricted to the SAR11 Ia subclade, providing a much broader perspective on the clade's origins, evolution, and ecology. We found small genomes throughout the clade and a very high proportion of core genome genes (48 to 56%), indicating that small genome size is probably an ancestral characteristic. In their level of core genome conservation, the members of SAR11 are outliers, the most conserved free-living bacteria known. Shared features of the clade include low GC content, high gene synteny, a large hypervariable region bounded by rRNA genes, and low numbers of paralogs. Variation among the genomes included genes for phosphorus metabolism, glycolysis, and C1 metabolism, suggesting that adaptive specialization in nutrient resource utilization is important to niche partitioning and ecotype divergence within the clade. These data provide support for the conclusion that streamlining selection for efficient cell replication in the planktonic habitat has occurred throughout the evolution and diversification of this clade.
IMPORTANCE The SAR11 clade is the most abundant group of marine microorganisms worldwide, making them key players in the global carbon cycle. Growing knowledge about their biochemistry and metabolism is leading to a more mechanistic understanding of organic carbon oxidation and sequestration in the oceans. The discovery of small genomes in SAR11 provided crucial support for the theory that streamlining selection can drive genome reduction in low-nutrient environments. Study of isolates in culture revealed atypical organic nutrient requirements that can be attributed to genome reduction, such as conditional auxotrophy for glycine and its precursors, a requirement for reduced sulfur compounds, and evidence for widespread cycling of C1 compounds in marine environments. However, understanding the genetic variation and distribution of such pathways and characteristics like streamlining throughout the group has required the isolation and genome sequencing of diverse SAR11 representatives, an analysis of which we provide here.
C1 [Grote, Jana; Huggett, Megan J.; Rappe, Michael S.] Univ Hawaii Manoa, Ctr Microbial Oceanog Res & Educ, SOEST, Honolulu, HI 96822 USA.
[Grote, Jana; Huggett, Megan J.; Rappe, Michael S.] Univ Hawaii Manoa, Hawaii Inst Marine Biol, SOEST, Kaneohe, HI USA.
[Thrash, J. Cameron; Landry, Zachary C.; Carini, Paul; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Rappé, MS (corresponding author), Univ Hawaii Manoa, Ctr Microbial Oceanog Res & Educ, SOEST, Honolulu, HI 96822 USA.
EM steve.giovannoni@oregonstate.edu; rappe@hawaii.edu
CR Anderson I, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020237
ANDREWS JH, 1986, ADV MICROB ECOL, V9, P99
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Button DK, 2000, LIMNOL OCEANOGR, V45, P499, DOI 10.4319/lo.2000.45.2.0499
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Escolar L, 1999, J BACTERIOL, V181, P6223, DOI 10.1128/JB.181.20.6223-6229.1999
FRASER CM, 1995, SCIENCE, V270, P397, DOI 10.1126/science.270.5235.397
Frutos R, 2006, J BACTERIOL, V188, P2533, DOI 10.1128/JB.188.7.2533-2542.2006
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gevers D, 2004, TRENDS MICROBIOL, V12, P148, DOI 10.1016/j.tim.2004.02.007
Gillespie JJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002018
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Grimes DJ, 2009, MICROB ECOL, V58, P447, DOI 10.1007/s00248-009-9578-9
Hamza I, 1998, J BIOL CHEM, V273, P21669, DOI 10.1074/jbc.273.34.21669
Huggett MJ, 2012, STAND GENOMIC SCI, V6, P11, DOI 10.4056/sigs.2305090
Ivars-Martinez E, 2008, ISME J, V2, P1194, DOI 10.1038/ismej.2008.74
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Konstantinidis KT, 2007, CURR OPIN MICROBIOL, V10, P504, DOI 10.1016/j.mib.2007.08.006
Konstantinidis KT, 2009, P NATL ACAD SCI USA, V106, P15909, DOI 10.1073/pnas.0902000106
Konstantinidis KT, 2005, J BACTERIOL, V187, P6258, DOI 10.1128/JB.187.18.6258-6264.2005
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lee KB, 2005, INT J SYST EVOL MICR, V55, P1907, DOI 10.1099/ijs.0.63663-0
Lin MQ, 2009, NUCLEIC ACIDS RES, V37, P6076, DOI 10.1093/nar/gkp642
Liu W, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035698
Luo HW, 2012, ENVIRON MICROBIOL, V14, P41, DOI 10.1111/j.1462-2920.2011.02528.x
Luo HW, 2011, MOL BIOL EVOL, V28, P2751, DOI 10.1093/molbev/msr081
Lynch M, 2003, SCIENCE, V302, P1401, DOI 10.1126/science.1089370
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Markowitz VM, 2009, BIOINFORMATICS, V25, P2271, DOI 10.1093/bioinformatics/btp393
MARTIN JH, 1994, NATURE, V371, P123, DOI 10.1038/371123a0
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Merhej V, 2011, BIOL REV, V86, P379, DOI 10.1111/j.1469-185X.2010.00151.x
Mira A, 2001, TRENDS GENET, V17, P589, DOI 10.1016/S0168-9525(01)02447-7
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nyholm SV, 2000, P NATL ACAD SCI USA, V97, P10231, DOI 10.1073/pnas.97.18.10231
Oda Y, 2008, P NATL ACAD SCI USA, V105, P18543, DOI 10.1073/pnas.0809160105
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Paytan A, 2007, CHEM REV, V107, P563, DOI 10.1021/cr0503613
Pushker R, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-4-r27
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ren QH, 2005, PLOS COMPUT BIOL, V1, P190, DOI 10.1371/journal.pcbi.0010027
Reno ML, 2009, P NATL ACAD SCI USA, V106, P8605, DOI 10.1073/pnas.0808945106
Robbertse B, 2011, PLOS CURR-TREE LIFE, DOI 10.1371/currents.RRN1213
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rocha EPC, 2006, MOL BIOL EVOL, V23, P513, DOI 10.1093/molbev/msj052
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Salichos L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018755
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Shi T, 2008, P NATL ACAD SCI USA, V105, P2510, DOI 10.1073/pnas.0711165105
Shigenobu S, 2000, NATURE, V407, P81, DOI 10.1038/35024074
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Sonnhammer ELL, 2002, TRENDS GENET, V18, P619, DOI 10.1016/S0168-9525(02)02793-2
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Starkenburg SR, 2008, APPL ENVIRON MICROB, V74, P2852, DOI 10.1128/AEM.02311-07
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tamames J, 2001, GENOME BIOL, V2
Temperton B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016499
Tettelin H, 2005, P NATL ACAD SCI USA, V102, P13950, DOI 10.1073/pnas.0506758102
Tettelin H, 2008, CURR OPIN MICROBIOL, V11, P472, DOI 10.1016/j.mib.2008.09.006
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Voigt A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035097
Vos M, 2009, ISME J, V3, P199, DOI 10.1038/ismej.2008.93
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
Yelton AP, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002230
Zaneveld JR, 2010, NUCLEIC ACIDS RES, V38, P3869, DOI 10.1093/nar/gkq066
Zhaxybayeva O, 2009, P NATL ACAD SCI USA, V106, P5865, DOI 10.1073/pnas.0901260106
NR 90
TC 225
Z9 249
PD SEP-OCT
PY 2012
VL 3
IS 5
AR e00252-12
DI 10.1128/mBio.00252-12
UT WOS:000310585000011
DA 2025-07-30
ER
PT J
AU Temperton, B
Field, D
Oliver, A
Tiwari, B
Mühling, M
Joint, I
Gilbert, JA
AF Temperton, Ben
Field, Dawn
Oliver, Anna
Tiwari, Bela
Muehling, Martin
Joint, Ian
Gilbert, Jack A.
TI Bias in assessments of marine microbial biodiversity in fosmid libraries
as evaluated by pyrosequencing
SO ISME JOURNAL
DT Article
AB On the basis of 16S rRNA gene sequencing, the SAR11 clade of marine bacteria has an almost universal distribution, being detected as abundant sequences in all marine provinces. Yet, SAR11 sequences are rarely detected in fosmid libraries, suggesting that the widespread abundance may be an artefact of PCR cloning and that SAR11 has a relatively low abundance. Here the relative abundance of SAR11 is explored in both a fosmid library and a metagenomic sequence data set from the same biological community taken from fjord surface water from Bergen, Norway. Pyrosequenced data and 16S clone data confirmed an 11-15% relative abundance of SAR11 within the community. In contrast, not a single SAR11 fosmid was identified in a pooled shotgun sequence data set of 100 fosmid clones. This underrepresentation was evidenced by comparative abundances of SAR11 sequences assessed by taxonomic annotation and fragment recruitment. Analysis revealed a similar underrepresentation of low-GC Flavobacteriaceae. We speculate that a contributing factor towards the fosmid bias may be DNA fragmentation during preparation because of the low GC content of SAR11 sequences and other underrepresented taxa. This study suggests that, although fosmid libraries can be extremely useful, caution must be taken when directly inferring community composition from metagenomic fosmid libraries. The ISME Journal (2009) 3, 792-796; doi: 10.1038/ismej.2009.32; published online 2 April 2009
C1 [Temperton, Ben; Muehling, Martin; Joint, Ian; Gilbert, Jack A.] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
[Field, Dawn; Oliver, Anna; Tiwari, Bela] CEH Oxford, NERC Ctr Ecol & Hydrol, Oxford, England.
RP Gilbert, JA (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
EM jagi@pml.ac.uk
CR Allawi HT, 1998, BIOCHEMISTRY-US, V37, P2170, DOI 10.1021/bi9724873
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Campbell BJ, 2003, APPL ENVIRON MICROB, V69, P5070, DOI 10.1128/AEM.69.9.5070-5078.2003
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Hughes DS, 1997, APPL ENVIRON MICROB, V63, P3494, DOI 10.1128/AEM.63.9.3494-3498.1997
KIM UJ, 1992, NUCLEIC ACIDS RES, V20, P1083, DOI 10.1093/nar/20.5.1083
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Scanlan DJ, 2002, FEMS MICROBIOL ECOL, V40, P1, DOI 10.1111/j.1574-6941.2002.tb00930.x
Schleper C, 1998, J BACTERIOL, V180, P5003, DOI 10.1128/JB.180.19.5003-5009.1998
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
NR 19
TC 34
Z9 39
PD JUL
PY 2009
VL 3
IS 7
BP 792
EP 796
DI 10.1038/ismej.2009.32
UT WOS:000267818100004
DA 2025-07-30
ER
PT J
AU Peng, M
Chen, XL
Zhang, D
Wang, XJ
Wang, N
Wang, P
Todd, JD
Zhang, YZ
Li, CY
AF Peng, Ming
Chen, Xiu-Lan
Zhang, Dian
Wang, Xiu-Juan
Wang, Ning
Wang, Peng
Todd, Jonathan D.
Zhang, Yu-Zhong
Li, Chun-Yang
TI Structure-Function Analysis Indicates that an Active-Site Water Molecule
Participates in Dimethylsulfoniopropionate Cleavage by DddK
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The osmolyte dimethylsulfoniopropionate (DMSP) is produced in petagram quantities in marine environments and has important roles in global sulfur and carbon cycling. Many marine microorganisms catabolize DMSP via DMSP lyases, generating the climate-active gas dimethyl sulfide (DMS). DMS oxidation products participate in forming cloud condensation nuclei and, thus, may influence weather and climate. SAR11 bacteria are the most abundant marine heterotrophic bacteria; many of them contain the DMSP lyase DddK, and their dddK transcripts are relatively abundant in seawater. In a recently described catalytic mechanism for DddK, Tyr64 is predicted to act as the catalytic base initiating the beta-elimination reaction of DMSP. Tyr64 was proposed to be deprotonated by coordination to the metal cofactor or its neighboring His96. To further probe this mechanism, we purified and characterized the DddK protein from Pelagibacter ubique strain HICC1062 and determined the crystal structures of wild-type DddK and its Y64A and Y122A mutants (bearing a change of Y to A at position 64 or 122, respectively), where the Y122A mutant is complexed with DMSP. The structural and mutational analyses largely support the catalytic role of Tyr64, but not the method of its deprotonation. Our data indicate that an active water molecule in the active site of DddK plays an important role in the deprotonation of Tyr64 and that this is far more likely than coordination to the metal or His96. Sequence alignment and phylogenetic analysis suggest that the proposed catalytic mechanism of DddK has universal significance. Our results provide new mechanistic insights into DddK and enrich our understanding of DMS generation by SAR11 bacteria.
IMPORTANCE The climate-active gas dimethyl sulfide (DMS) plays an important role in global sulfur cycling and atmospheric chemistry. DMS is mainly produced through the bacterial cleavage of marine dimethylsulfoniopropionate (DMSP). When released into the atmosphere from the oceans, DMS can be photochemically oxidized into DMSO or sulfate aerosols, which form cloud condensation nuclei that influence the reflectivity of clouds and, thereby, global temperature. SAR11 bacteria are the most abundant marine heterotrophic bacteria, and many of them contain DMSP lyase DddK to cleave DMSP, generating DMS. In this study, based on structural analyses and mutational assays, we revealed the catalytic mechanism of DddK, which has universal significance in SAR11 bacteria. This study provides new insights into the catalytic mechanism of DddK, leading to a better understanding of how SAR11 bacteria generate DMS.
C1 [Peng, Ming; Chen, Xiu-Lan; Zhang, Dian; Wang, Xiu-Juan; Wang, Ning; Wang, Peng; Zhang, Yu-Zhong; Li, Chun-Yang] Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Shandong, Peoples R China.
[Zhang, Yu-Zhong; Li, Chun-Yang] Ocean Univ China, Coll Marine Life Sci, Qingdao, Shandong, Peoples R China.
[Chen, Xiu-Lan; Zhang, Yu-Zhong] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Shandong, Peoples R China.
[Todd, Jonathan D.] Univ East Anglia, Sch Biol Sci, Norwich, Norfolk, England.
[Li, Chun-Yang] Shandong Univ, Suzhou Inst, Suzhou, Peoples R China.
RP Li, CY (corresponding author), Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Shandong, Peoples R China.; Li, CY (corresponding author), Ocean Univ China, Coll Marine Life Sci, Qingdao, Shandong, Peoples R China.; Li, CY (corresponding author), Shandong Univ, Suzhou Inst, Suzhou, Peoples R China.
EM lingdongzhihui@126.com
CR Adams PD, 2010, ACTA CRYSTALLOGR D, V66, P213, DOI 10.1107/S0907444909052925
Alcolombri U, 2015, SCIENCE, V348, P1466, DOI 10.1126/science.aab1586
Brummett AE, 2016, BIOCHEMISTRY-US, V55, P6162, DOI 10.1021/acs.biochem.6b00585
Brummett AE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127288
Curson ARJ, 2018, NAT MICROBIOL, V3, P430, DOI 10.1038/s41564-018-0119-5
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Dickson Robert P., 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.113, DOI 10.1038/NMICROBIOL.2016.65]
Dunwell JM, 2004, PHYTOCHEMISTRY, V65, P7, DOI 10.1016/j.phytochem.2003.08.016
Dunwell JM, 1998, BIOTECHNOL GENET ENG, V15, P1
Emsley P, 2010, ACTA CRYSTALLOGR D, V66, P486, DOI 10.1107/S0907444910007493
Green RT, 2013, ISME J, V7, P581, DOI 10.1038/ismej.2012.140
Hehemann JH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103128
Johnston AWB, 2016, CURR OPIN CHEM BIOL, V31, P58, DOI 10.1016/j.cbpa.2016.01.011
Kettle AJ, 2000, J GEOPHYS RES-ATMOS, V105, P26793, DOI 10.1029/2000JD900252
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Ksionzek KB, 2016, SCIENCE, V354, P456, DOI 10.1126/science.aaf7796
Lei L, 2018, BIOCHEMISTRY-US, V57, P3364, DOI 10.1021/acs.biochem.8b00097
Li CY, 2017, J MOL BIOL, V429, P3850, DOI 10.1016/j.jmb.2017.10.022
Li CY, 2014, P NATL ACAD SCI USA, V111, P1026, DOI 10.1073/pnas.1312354111
Minor W, 2006, ACTA CRYSTALLOGR D, V62, P859, DOI 10.1107/S0907444906019949
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Raina JB, 2013, NATURE, V502, P677, DOI 10.1038/nature12677
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Schnicker NJ, 2017, BIOCHEMISTRY-US, V56, P2873, DOI 10.1021/acs.biochem.7b00099
Seymour JR, 2010, SCIENCE, V329, P342, DOI 10.1126/science.1188418
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Stefels J, 2007, BIOGEOCHEMISTRY, V83, P245, DOI 10.1007/s10533-007-9091-5
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Vallina SM, 2007, SCIENCE, V315, P506, DOI 10.1126/science.1133680
Wang P, 2015, MOL MICROBIOL, V98, P289, DOI 10.1111/mmi.13119
Winn MD, 2011, ACTA CRYSTALLOGR D, V67, P235, DOI 10.1107/S0907444910045749
NR 37
TC 12
Z9 15
PD APR
PY 2019
VL 85
IS 8
AR e03127-18
DI 10.1128/AEM.03127-18
UT WOS:000463407200016
DA 2025-07-30
ER
PT J
AU Bolanos, LM
Tait, K
Somerfield, PJ
Parsons, RJ
Giovannoni, SJ
Smyth, T
Temperton, B
AF Bolanos, Luis M.
Tait, Karen
Somerfield, Paul J.
Parsons, Rachel J.
Giovannoni, Stephen J.
Smyth, Timothy
Temperton, Ben
TI Influence of short and long term processes on SAR11 communities in open
ocean and coastal systems
SO ISME COMMUNICATIONS
DT Article
AB SAR11 bacteria dominate the surface ocean and are major players in converting fixed carbon back to atmospheric carbon dioxide. The SAR11 clade is comprised of niche-specialized ecotypes that display distinctive spatiotemporal transitions. We analyzed SAR11 ecotype seasonality in two long-term 16S rRNA amplicon time series representing different North Atlantic regimes: the Sargasso Sea (subtropical ocean-gyre; BATS) and the temperate coastal Western English Channel (WEC). Using phylogenetically resolved amplicon sequence variants (ASVs), we evaluated seasonal environmental constraints on SAR11 ecotype periodicity. Despite large differences in temperature and nutrient availability between the two sites, at both SAR11 succession was defined by summer and winter clusters of ASVs. The summer cluster was dominated by ecotype Ia.3 in both sites. Winter clusters were dominated by ecotypes Ib and IIa.A at BATS and Ia.1 and IIa.B at WEC. A 2-year weekly analysis within the WEC time series showed that the response of SAR11 communities to short-term environmental fluctuations was variable. In 2016, community shifts were abrupt and synchronized to environmental shifts. However, in 2015, changes were gradual and decoupled from environmental fluctuations, likely due to increased mixing from strong winds. We demonstrate that interannual weather variability disturb the pace of SAR11 seasonal progression.
C1 [Bolanos, Luis M.; Temperton, Ben] Univ Exeter, Sch Biosci, Exeter, England.
[Tait, Karen; Somerfield, Paul J.; Smyth, Timothy] Plymouth Marine Lab, Plymouth, England.
[Parsons, Rachel J.] Bermuda Inst Ocean Sci, St Georges, Bermuda.
[Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR USA.
RP Bolanos, LM; Temperton, B (corresponding author), Univ Exeter, Sch Biosci, Exeter, England.
EM l.bolanos-avellaneda@exeter.ac.uk; b.temperton@exeter.ac.uk
CR Ahdesmaki M, 2015, Package 'GeneCycle'
Auladell A, 2022, ISME J, V16, P178, DOI 10.1038/s41396-021-01053-2
Auladell A, 2019, ISME J, V13, P1975, DOI 10.1038/s41396-019-0401-4
Baker GC, 2003, J MICROBIOL METH, V55, P541, DOI 10.1016/j.mimet.2003.08.009
Benway HM., 2019, Front Mar Sci, V12, P6
Bolaños LM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.624164
Bolaños LM, 2020, ISME J, V14, P1663, DOI 10.1038/s41396-020-0636-0
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown SN, 2012, Polyphasic taxonomy of marine bacteria from the SAR11 group Ia: Pelagibacter ubiquis (strain HTCC1062) & Pelagibacter bermudensis (strain HTCC7211)
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Callahan BJ, 2017, ISME J, V11, P2639, DOI 10.1038/ismej.2017.119
Caporaso JG, 2012, ISME J, V6, P1089, DOI 10.1038/ismej.2011.162
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Choi CJ, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.542372
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Eren AM, 2014, P NATL ACAD SCI USA, V111, pE2875, DOI 10.1073/pnas.1409644111
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hellweger FL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0167010
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Lévy M, 2015, J R SOC INTERFACE, V12, DOI 10.1098/rsif.2015.0481
Lomas MW, 2013, DEEP-SEA RES PT II, V93, P16, DOI 10.1016/j.dsr2.2013.01.008
Lomas MW, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28842-3
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
McCarthy M, 2016, WEATHER, V71, P305, DOI 10.1002/wea.2823
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Met Office, 2021, UK climate projections: headline findings
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Needham DM, 2018, ISME J, V12, P2417, DOI 10.1038/s41396-018-0169-y
Oksanen J., Package "vegan"
Ortmann AC, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw133
Quinn PK, 2011, NATURE, V480, P51, DOI 10.1038/nature10580
R Core Team, R LANG ENV STAT COMP
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Roesch A., 2014, Package 'WaveletComp
Ruiz-Perez CA, 2021, SYST APPL MICROBIOL, V44, DOI 10.1016/j.syapm.2021.126185
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Sargeant SL, 2018, BIOGEOSCIENCES, V15, P5155, DOI 10.5194/bg-15-5155-2018
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Smyth TJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098709
Southward AJ, 2005, ADV MAR BIOL, V47, P1
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tucker SJ, 2021, PEERJ, V9, DOI 10.7717/peerj.12274
VandePeer Y, 1996, NUCLEIC ACIDS RES, V24, P3381, DOI 10.1093/nar/24.17.3381
Vasileiadis S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042671
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wagner S, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00341
Wang W., 2021, J DATA SCI, V19, P498, DOI [DOI 10.6339/21-JDS1020, 10.6339/21-JDS1020]
Warwick-Dugdale J, 2019, PEERJ, V7, DOI 10.7717/peerj.6800
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Yeh YC, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00121-8
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
NR 75
TC 15
Z9 15
PD NOV 19
PY 2022
VL 2
IS 1
AR 116
DI 10.1038/s43705-022-00198-1
UT WOS:001105642100001
DA 2025-07-30
ER
PT J
AU Wang, XJ
Zhang, N
Teng, ZJ
Wang, P
Zhang, WP
Chen, XL
Zhang, YZ
Chen, Y
Fu, HH
Li, CY
AF Wang, Xiu-Juan
Zhang, Nan
Teng, Zhao-Jie
Wang, Peng
Zhang, Wei-Peng
Chen, Xiu-Lan
Zhang, Yu-Zhong
Chen, Yin
Fu, Hui-Hui
Li, Chun-Yang
TI Structural and Mechanistic Insights Into Dimethylsulfoxide Formation
Through Dimethylsulfide Oxidation
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Dimethylsulfide (DMS) and dimethylsulfoxide (DMSO) are widespread in marine environment, and are important participants in the global sulfur cycle. Microbiol oxidation of DMS to DMSO represents a major sink of DMS in marine surface waters. The SAR11 clade and the marine Roseobacter clade (MRC) are the most abundant heterotrophic bacteria in the ocean surface seawater. It has been reported that trimethylamine monooxygenase (Tmm, EC 1.14.13.148) from both MRC and SAR11 bacteria likely oxidizes DMS to generate DMSO. However, the structural basis of DMS oxidation has not been explained. Here, we characterized a Tmm homolog from the SAR11 bacterium Pelagibacter sp. HTCC7211 (Tmm(7211)). Tmm(7211) exhibits DMS oxidation activity in vitro. We further solved the crystal structures of Tmm(7211) and Tmm(7211) soaked with DMS, and proposed the catalytic mechanism of Tmm(7211), which comprises a reductive half-reaction and an oxidative half-reaction. FAD and NADPH molecules are essential for the catalysis of Tmm(7211). In the reductive half-reaction, FAD is reduced by NADPH. In the oxidative half-reaction, the reduced FAD reacts with O-2 to form the C4a-(hydro)peroxyflavin. The binding of DMS may repel the nicotinamide ring of NADP(+), and make NADP(+) generate a conformational change, shutting off the substrate entrance and exposing the active C4a-(hydro)peroxyflavin to DMS to complete the oxidation of DMS. The proposed catalytic mechanism of Tmm(7211) may be widely adopted by MRC and SAR11 bacteria. This study provides important insight into the conversion of DMS into DMSO in marine bacteria, leading to a better understanding of the global sulfur cycle.
C1 [Wang, Xiu-Juan; Wang, Peng; Zhang, Wei-Peng; Zhang, Yu-Zhong; Chen, Yin; Fu, Hui-Hui; Li, Chun-Yang] Ocean Univ China, Coll Marine Life Sci, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.
[Wang, Xiu-Juan; Teng, Zhao-Jie; Chen, Xiu-Lan; Zhang, Yu-Zhong] Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Peoples R China.
[Wang, Xiu-Juan; Wang, Peng; Chen, Xiu-Lan; Zhang, Yu-Zhong; Li, Chun-Yang] Pilot Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.
[Zhang, Nan] Qilu Univ Technol, Sch Bioengn, Jinan, Peoples R China.
[Chen, Yin] Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
RP Fu, HH; Li, CY (corresponding author), Ocean Univ China, Coll Marine Life Sci, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.; Li, CY (corresponding author), Pilot Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.
EM fuhuihui@ouc.edu.cn; icy@ouc.edu.cn
CR Acolombri U, 2014, BIOCHEMISTRY-US, V53, P5473, DOI 10.1021/bi500853s
Adams PD, 2010, ACTA CRYSTALLOGR D, V66, P213, DOI 10.1107/S0907444909052925
Alfieri A, 2008, P NATL ACAD SCI USA, V105, P6572, DOI 10.1073/pnas.0800859105
ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
Asher EC, 2017, LIMNOL OCEANOGR, V62, P104, DOI 10.1002/lno.10379
BEATY NB, 1981, J BIOL CHEM, V256, P4619
BEATY NB, 1981, J BIOL CHEM, V256, P4611
Boden R, 2019, HAND HYD LIPID MICRO, P421, DOI 10.1007/978-3-319-50418-6_9
Boden R, 2011, J BACTERIOL, V193, P1250, DOI 10.1128/JB.00977-10
Boden R, 2010, ENVIRON MICROBIOL, V12, P2688, DOI 10.1111/j.1462-2920.2010.02238.x
Bray RC, 2001, BIOCHEMISTRY-US, V40, P9810, DOI 10.1021/bi010559r
BRIMBLECOMBE P, 1986, MAR CHEM, V19, P343, DOI 10.1016/0304-4203(86)90055-1
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carrión O, 2017, ISME J, V11, P2379, DOI 10.1038/ismej.2017.105
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Chen IMA, 2019, NUCLEIC ACIDS RES, V47, pD666, DOI 10.1093/nar/gky901
Chen Y, 2012, ENVIRON MICROBIOL, V14, P2308, DOI 10.1111/j.1462-2920.2012.02765.x
Chen Y, 2011, P NATL ACAD SCI USA, V108, P17791, DOI 10.1073/pnas.1112928108
Cho HJ, 2011, J STRUCT BIOL, V175, P39, DOI 10.1016/j.jsb.2011.04.007
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
del Valle DA, 2007, MAR CHEM, V103, P197, DOI 10.1016/j.marchem.2006.07.005
deZwart JMM, 1996, FEMS MICROBIOL ECOL, V20, P261, DOI 10.1016/0168-6496(96)00038-4
Emsley P, 2010, ACTA CRYSTALLOGR D, V66, P486, DOI 10.1107/S0907444910007493
Eswaramoorthy S, 2006, P NATL ACAD SCI USA, V103, P9832, DOI 10.1073/pnas.0602398103
Horinouchi M, 1997, FEMS MICROBIOL LETT, V155, P99, DOI 10.1111/j.1574-6968.1997.tb12692.x
Johnston AWB, 2016, CURR OPIN CHEM BIOL, V31, P58, DOI 10.1016/j.cbpa.2016.01.011
KIENE RP, 1990, NATURE, V345, P702, DOI 10.1038/345702a0
Kohl M, 2011, METHODS MOL BIOL, V696, P291, DOI 10.1007/978-1-60761-987-1_18
Krueger SK, 2005, PHARMACOL THERAPEUT, V106, P357, DOI 10.1016/j.pharmthera.2005.01.001
Ksionzek KB, 2016, SCIENCE, V354, P456, DOI 10.1126/science.aaf7796
Lee PA, 1999, J PHYCOL, V35, P8, DOI 10.1046/j.1529-8817.1999.3510008.x
Li CY, 2017, MOL MICROBIOL, V103, P992, DOI 10.1111/mmi.13605
Lidbury I, 2016, ENVIRON MICROBIOL, V18, P2754, DOI 10.1111/1462-2920.13354
Loncar N, 2019, APPL MICROBIOL BIOT, V103, P1755, DOI 10.1007/s00253-018-09579-w
McDevitt CA, 2002, BIOCHEMISTRY-US, V41, P15234, DOI 10.1021/bi026221u
Minor W, 2006, ACTA CRYSTALLOGR D, V62, P859, DOI 10.1107/S0907444906019949
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Orru R, 2010, J BIOL CHEM, V285, P35021, DOI 10.1074/jbc.M110.161372
Paul CE, 2021, BIOTECHNOL ADV, V51, DOI 10.1016/j.biotechadv.2021.107712
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sebastián M, 2016, ISME J, V10, P968, DOI 10.1038/ismej.2015.172
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Speeckaert G, 2018, SCI TOTAL ENVIRON, V622, P362, DOI 10.1016/j.scitotenv.2017.11.359
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
van Berkel WJH, 2006, J BIOTECHNOL, V124, P670, DOI 10.1016/j.jbiotec.2006.03.044
Vila-Costa M, 2006, ENVIRON MICROBIOL, V8, P2189, DOI 10.1111/j.1462-2920.2006.01102.x
Wang QS, 2018, NUCL SCI TECH, V29, DOI 10.1007/s41365-018-0398-9
WANG XC, 1990, GEOCHIM COSMOCHIM AC, V54, P2759, DOI 10.1016/0016-7037(90)90010-I
Winn MD, 2011, ACTA CRYSTALLOGR D, V67, P235, DOI 10.1107/S0907444910045749
Zhang XH, 2019, SCI CHINA LIFE SCI, V62, P1296, DOI 10.1007/s11427-018-9524-y
NR 52
TC 5
Z9 6
PD SEP 24
PY 2021
VL 12
AR 735793
DI 10.3389/fmicb.2021.735793
UT WOS:000705908400001
DA 2025-07-30
ER
PT J
AU Alonso, C
Pernthaler, J
AF Alonso, Cecilia
Pernthaler, Jakob
TI Roseobacter and SAR11 dominate microbial glucose uptake in
coastal North Sea waters
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Bacterial assemblages in coastal pelagic environments are exposed to pronounced temporal and spatial fluctuations in the availability of monomeric substrates. Little is known about the response of particular bacterial groups to such variability. We studied glucose incorporation at various concentrations (0.1-100 nM) by bacteria related to Roseobacter, SAR11, Gammaproteobacteria and Cytophaga-Flavobacteria in coastal North Sea waters in late winter and during a spring phytoplankton bloom dominated by Phaeocystis sp. (March and May 2004 respectively). Both the fraction of glucose-assimilating bacterial cells and the rate of substrate incorporation per active cell were higher in May. The respective contributions of the studied groups to all glucose-assimilating Bacteria were related to substrate concentration. The majority of glucose-incorporating bacterial cells at the lower concentrations were members of the Roseobacter and SAR11 clades. At both time-points the two groups formed approximately equal fractions of all glucose-incorporating bacteria. This was due to a small population of highly active Roseobacter cells and high abundances of SAR11 bacteria with low proportions of glucose-incorporating cells. By contrast, the proportion of active cells from the Cytophaga-Flavobacteria lineage substantially increased at higher levels of available substrate. The determination of concentration-dependent substrate incorporation patterns may help to better understand the different ecophysiological niches of bacterioplankton populations.
C1 Univ Zurich, Limnol Stn Kilchberg, Zurich, Switzerland.
RP Pernthaler, J (corresponding author), Univ Zurich, Limnol Stn Kilchberg, Zurich, Switzerland.
EM pernthaler@limnol.unizh.ch
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Agis M, 1998, MICROB ECOL, V36, P66, DOI 10.1007/s002489900094
Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
ANDERSSON A, 1986, MAR ECOL PROG SER, V33, P51, DOI 10.3354/meps033051
Arrieta JM, 2002, LIMNOL OCEANOGR, V47, P594, DOI 10.4319/lo.2002.47.2.0594
AZAM F, 1981, MAR ECOL PROG SER, V6, P213, DOI 10.3354/meps006213
Becquevort S, 1998, AQUAT MICROB ECOL, V14, P39, DOI 10.3354/ame014039
Biddanda B, 1997, LIMNOL OCEANOGR, V42, P506, DOI 10.4319/lo.1997.42.3.0506
Blackburn N, 1997, LIMNOL OCEANOGR, V42, P613, DOI 10.4319/lo.1997.42.4.0613
BURNEY CM, 1982, MAR BIOL, V67, P311, DOI 10.1007/BF00397672
Cadée GC, 2002, J SEA RES, V48, P97, DOI 10.1016/S1385-1101(02)00161-2
CHRISTIAN JR, 1995, LIMNOL OCEANOGR, V40, P1042, DOI 10.4319/lo.1995.40.6.1042
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
ITTEKKOT V, 1981, MAR ECOL PROG SER, V4, P299, DOI 10.3354/meps004299
Janse I, 1996, AQUAT MICROB ECOL, V10, P97, DOI 10.3354/ame010097
Janse I, 1996, J PHYCOL, V32, P382, DOI 10.1111/j.0022-3646.1996.00382.x
Kiorboe T, 2003, APPL ENVIRON MICROB, V69, P3036, DOI 10.1128/AEM.69.6.3036-3047.2003
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kirchman DL, 2001, DEEP-SEA RES PT II, V48, P4179, DOI 10.1016/S0967-0645(01)00085-6
Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
MOPPER K, 1995, DEEP-SEA RES PT II, V42, P47, DOI 10.1016/0967-0645(95)00004-A
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NISSEN H, 1984, MAR ECOL PROG SER, V16, P155, DOI 10.3354/meps016155
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
Rich JH, 1996, LIMNOL OCEANOGR, V41, P595, DOI 10.4319/lo.1996.41.4.0595
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
SHERR BF, 1992, APPL ENVIRON MICROB, V58, P2381, DOI 10.1128/AEM.58.8.2381-2385.1992
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
Skoog A, 1999, LIMNOL OCEANOGR, V44, P1625, DOI 10.4319/lo.1999.44.7.1625
Unanue M, 1999, MICROB ECOL, V37, P36, DOI 10.1007/s002489900128
VACCARO RF, 1967, LIMNOL OCEANOGR, V12, P540, DOI 10.4319/lo.1967.12.3.0540
van Rijssel M, 2000, J SEA RES, V43, P297, DOI 10.1016/S1385-1101(00)00013-7
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Weinbauer MG, 2004, ENVIRON MICROBIOL, V6, P1, DOI 10.1046/j.1462-2920.2003.00539.x
Yager PL, 2001, LIMNOL OCEANOGR, V46, P790, DOI 10.4319/lo.2001.46.4.0790
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 55
TC 131
Z9 139
PD NOV
PY 2006
VL 8
IS 11
BP 2022
EP 2030
DI 10.1111/j.1462-2920.2006.01082.x
UT WOS:000240919300014
DA 2025-07-30
ER
PT J
AU Giebel, HA
Brinkhoff, T
Zwisler, W
Selje, N
Simon, M
AF Giebel, Helge-Ansgar
Brinkhoff, Thorsten
Zwisler, Walter
Selje, Natascha
Simon, Meinhard
TI Distribution of Roseobacter RCA and SAR11 lineages and distinct
bacterial communities from the subtropics to the Southern Ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB P>We assessed the composition of the bacterioplankton in the Atlantic sector of the Southern Ocean in austral fall and winter and in New Zealand coastal waters in summer. The various water masses between the subtropics/Agulhas-Benguela boundary region and the Antarctic coastal current exhibited distinct bacterioplankton communities with the highest richness in the polar frontal region, as shown by denaturing gradient gel electrophoresis of 16S rRNA gene fragments. The SAR11 clade and the Roseobacter clade-affiliated (RCA) cluster were quantified by real-time quantitative PCR. SAR11 was detected in all samples analysed from subtropical waters to the coastal current and to depths of > 1000 m. In fall and winter, this clade constituted < 3% to 48% and 4-28% of total bacterial 16S rRNA genes respectively, with highest fractions in subtropical to polar frontal regions. The RCA cluster was only present in New Zealand coastal surface waters not exceeding 17 degrees C, in the Agulhas-Benguela boundary region (visited only during the winter cruise), in subantarctic waters and in the Southern Ocean. In fall, this cluster constituted up to 36% of total bacterial 16S rRNA genes with highest fractions in the Antarctic coastal current and outnumbered the SAR11 clade at most stations in the polar frontal region and further south. In winter, the RCA cluster constituted lower proportions than the SAR11 clade and did not exceed 8% of total bacterial 16S rRNA genes. In fall, the RCA cluster exhibited significant positive correlations with latitude and ammonium concentrations and negative correlations with concentrations of nitrate, phosphate, and for near-surface samples also with chlorophyll a, biomass production of heterotrophic prokaryotes and glucose turnover rates. The findings show that the various water masses between the subtropics and the Antarctic coastal current harbour distinct bacterioplankton communities. They further indicate that the RCA cluster, despite the narrow sequence similarity of > 98% of its 16S rRNA gene, is an abundant component of the heterotrophic bacterioplankton in the Southern Ocean, in particular in its coldest regions.
C1 [Giebel, Helge-Ansgar; Brinkhoff, Thorsten; Zwisler, Walter; Selje, Natascha; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26111 Oldenburg, Germany.
RP Simon, M (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26111 Oldenburg, Germany.
EM m.simon@icbm.de
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Brinkhoff T, 1997, APPL ENVIRON MICROB, V63, P3789, DOI 10.1128/AEM.63.10.3789-3796.1997
BROWN E, 1999, SEAWATER ITS COMPOSI
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
delGiorgio P, 1996, LIMNOL OCEANOGR, V41, P783, DOI 10.4319/lo.1996.41.4.0783
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
HALL T.A., 1999, NUCL ACIDS S SERIES, V41, P95, DOI [DOI 10.1021/BK-1999-0734.CH008, DOI 10.14601/PHYTOPATHOLMEDITERR-14998U1.29]
HARTMANN C, 2000, BER POLARFORSCH MEER, V364, P38
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Mayali X, 2008, APPL ENVIRON MICROB, V74, P2595, DOI 10.1128/AEM.02191-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Muyzer G, 1998, ANTON LEEUW INT J G, V73, P127, DOI 10.1023/A:1000669317571
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Muyzer G., 1998, MOL MICROBIAL ECOLOG, P1
Nadkarni MA, 2002, MICROBIOL-SGM, V148, P257, DOI 10.1099/00221287-148-1-257
Odum E.P., 2004, FUNDAMENTALS ECOLOGY, V5th
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sambrock J., 1989, MOL CLONING LAB MANU
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Simon M, 2004, LIMNOL OCEANOGR, V49, P1035, DOI 10.4319/lo.2004.49.4.1035
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Simon M, 2007, LIMNOL OCEANOGR, V52, P85, DOI 10.4319/lo.2007.52.1.0085
Strass VH, 2002, DEEP-SEA RES PT II, V49, P3735, DOI 10.1016/S0967-0645(02)00109-1
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Taniguchi A, 2008, ENVIRON MICROBIOL, V10, P1007, DOI 10.1111/j.1462-2920.2007.01521.x
Topping JN, 2006, AQUAT MICROB ECOL, V45, P229, DOI 10.3354/ame045229
Tremblay JE, 2002, DEEP-SEA RES PT II, V49, P3793, DOI 10.1016/S0967-0645(02)00111-X
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
NR 46
TC 74
Z9 81
PD AUG
PY 2009
VL 11
IS 8
BP 2164
EP 2178
DI 10.1111/j.1462-2920.2009.01942.x
UT WOS:000268655000020
DA 2025-07-30
ER
PT J
AU Eiler, A
Hayakawa, DH
Church, MJ
Karl, DM
Rappé, MS
AF Eiler, Alexander
Hayakawa, Darin H.
Church, Matthew J.
Karl, David M.
Rappe, Michael S.
TI Dynamics of the SAR11 bacterioplankton lineage in relation to
environmental conditions in the oligotrophic North Pacific subtropical
gyre
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB P>A quantitative PCR assay for the SAR11 clade of marine Alphaproteobacteria was applied to nucleic acids extracted from monthly depth profiles sampled over a 3-year period (2004-2007) at the open-ocean Station ALOHA (A Long-term Oligotrophic Habitat Assessment; 22 degrees 45'N, 158 degrees 00'W) in the oligotrophic North Pacific Ocean. This analysis revealed a high contribution (averaging 36% of 16S rRNA gene copies) of SAR11 to the total detected 16S rRNA gene copies over depths ranging from the surface layer to 4000 m, and revealed consistent spatial and temporal variation in the relative abundance of SAR11 16S rRNA gene copies. On average, a higher proportion of SAR11 rRNA gene copies were detected in the photic zone (< 175 m depth; mean = 38%) compared with aphotic (> 175 m depth; mean = 30%), and in the winter months compared with the summer (mean = 44% versus 33%, integrated over 175 m depth). Partial least square to latent structure projections identified environmental variables that correlate with variation in the absolute abundance of SAR11, and provided tools for developing a predictive model to explain time and depth-dependent variations in SAR11. Moreover, this information was used to hindcast temporal dynamics of the SAR11 clade between 1997 and 2006 using the existing HOT data set, which suggested that interannual variations in upper ocean SAR11 abundances were related to ocean-climate variability such as the El Nino Southern Oscillation.
C1 [Eiler, Alexander; Hayakawa, Darin H.; Rappe, Michael S.] Univ Hawaii, Hawaii Inst Marine Biol, SOEST, Kaneohe, HI 96744 USA.
[Church, Matthew J.; Karl, David M.] Univ Hawaii, Dept Oceanog, SOEST, Honolulu, HI 96822 USA.
RP Rappé, MS (corresponding author), Univ Hawaii, Hawaii Inst Marine Biol, SOEST, Kaneohe, HI 96744 USA.
EM rappe@hawaii.edu
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Benitez-Nelson CR, 2007, SCIENCE, V316, P1017, DOI 10.1126/science.1136221
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Church MJ, 2006, AQUAT MICROB ECOL, V45, P41, DOI 10.3354/ame045041
Church MJ, 2005, AQUAT MICROB ECOL, V38, P3, DOI 10.3354/ame038003
Corno G, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003730
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dore JE, 1996, DEEP-SEA RES PT II, V43, P385, DOI 10.1016/0967-0645(95)00105-0
Dore JE, 2008, PROG OCEANOGR, V76, P2, DOI 10.1016/j.pocean.2007.10.002
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Karl DM, 2001, DEEP-SEA RES PT II, V48, P1449, DOI 10.1016/S0967-0645(00)00149-1
Karl DM, 2001, DEEP-SEA RES PT II, V48, P1529, DOI 10.1016/S0967-0645(00)00152-1
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Letelier RM, 2004, LIMNOL OCEANOGR, V49, P508, DOI 10.4319/lo.2004.49.2.0508
Letelier RM, 1996, DEEP-SEA RES PT II, V43, P467, DOI 10.1016/0967-0645(96)00006-9
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MARTIN JH, 1987, DEEP-SEA RES, V34, P267, DOI 10.1016/0198-0149(87)90086-0
Michaels AF, 1996, DEEP-SEA RES PT II, V43, P157, DOI 10.1016/0967-0645(96)00004-5
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Sverdrup H.U., 1946, OCEANS
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wold S, 2001, CHEMOMETR INTELL LAB, V58, P109, DOI 10.1016/S0169-7439(01)00155-1
NR 52
TC 76
Z9 82
PD SEP
PY 2009
VL 11
IS 9
BP 2291
EP 2300
DI 10.1111/j.1462-2920.2009.01954.x
UT WOS:000269539700011
DA 2025-07-30
ER
PT J
AU Lami, R
Cottrell, MT
Campbell, BJ
Kirchman, DL
AF Lami, Raphael
Cottrell, Matthew T.
Campbell, Barbara J.
Kirchman, David L.
TI Light-dependent growth and proteorhodopsin expression by
Flavobacteria and SAR11 in experiments with Delaware coastal
waters
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB P>Proteorhodopsin (PR)-containing bacteria are hypothesized to use both light and organic compounds as energy sources. Recent studies have found that PR is common in marine microorganisms, but the impact of light on the growth of PR-containing organisms and PR transcription in the environment remains unclear. We examined the diversity of PR genes and transcripts by PCR amplification and sequencing in Delaware coastal waters. Clone libraries of PR DNA and cDNA (from mRNA) revealed large differences between bacterial groups in expression of PR genes. We then evaluated by quantitative PCR the impact of light on growth and PR expression in PR-containing SAR11 bacteria (SAR11-PR) and a population of Flavobacteria (Flavobacteria-PR). This experiment was conducted in 30 l microcosms exposed to continuous light, continuous dark, and 12 h-12 h dark-light cycles for 5 days. We found a strong upregulation of PR expression by light in Flavobacteria-PR and SAR11-PR. The abundance of PR transcripts per PR cell was enhanced up to 120-fold under continuous light and up to 20-fold under dark-light cycles while continuous darkness led to very low levels of PR mRNA. This upregulation of PR expression was correlated with the abundance of PR genes, indicating net growth of SAR11-PR cells and Flavobacteria-PR under dark-light cycles. SAR11-PR and Flavobacteria-PR abundance decreased under continuous light despite upregulation of PR expression, and continuous darkness led to low abundances of both populations. Collectively, these data suggest that light affects growth of PR-containing bacteria and regulation of PR mRNA synthesis in natural communities.
C1 [Lami, Raphael; Cottrell, Matthew T.; Campbell, Barbara J.; Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, 700 Pilottown Rd, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Beja Oded., 2008, Microbial Ecology of the Oceans, VSecond, P131, DOI DOI 10.1002/9780470281840.CH5
Campbell BJ, 2009, AQUAT MICROB ECOL, V57, P123, DOI 10.3354/ame01335
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
Delbès C, 1998, ANAEROBE, V4, P267, DOI 10.1006/anae.1998.0176
Dempster EL, 1999, BIOTECHNIQUES, V27, P66, DOI 10.2144/99271bm13
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Jakobsen HH, 2004, LIMNOL OCEANOGR, V49, P1915, DOI 10.4319/lo.2004.49.6.1915
Kumar S, 2004, BRIEF BIOINFORM, V5, P150, DOI 10.1093/bib/5.2.150
Lee DH, 1996, APPL ENVIRON MICROB, V62, P3112, DOI 10.1128/AEM.62.9.3112-3120.1996
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
Winter C, 2004, AQUAT MICROB ECOL, V35, P207, DOI 10.3354/ame035207
NR 32
TC 55
Z9 57
PD DEC
PY 2009
VL 11
IS 12
BP 3201
EP 3209
DI 10.1111/j.1462-2920.2009.02028.x
UT WOS:000273182500023
DA 2025-07-30
ER
PT J
AU Cermak, N
Becker, JW
Knudsen, SM
Chisholm, SW
Manalis, SR
Polz, MF
AF Cermak, Nathan
Becker, Jamie W.
Knudsen, Scott M.
Chisholm, Sallie W.
Manalis, Scott R.
Polz, Martin F.
TI Direct single-cell biomass estimates for marine bacteria via Archimedes'
principle
SO ISME JOURNAL
DT Article
AB Microbes are an essential component of marine food webs and biogeochemical cycles, and therefore precise estimates of their biomass are of significant value. Here, we measured single-cell biomass distributions of isolates from several numerically abundant marine bacterial groups, including Pelagibacter (SAR11), Prochlorococcus and Vibrio using a microfluidic mass sensor known as a suspended microchannel resonator (SMR). We show that the SMR can provide biomass (dry mass) measurements for cells spanning more than two orders of magnitude and that these estimates are consistent with other independent measures. We find that Pelagibacterales strain HTCC1062 has a median biomass of 11.9 +/- 0.7 fg per cell, which is five- to twelve-fold smaller than the median Prochlorococcus cell's biomass (depending upon strain) and nearly 100-fold lower than that of rapidly growing V. splendidus strain 13B01. Knowing the biomass contributions from various taxonomic groups will provide more precise estimates of total marine biomass, aiding models of nutrient flux in the ocean.
C1 [Cermak, Nathan] MIT, Program Computat & Syst Biol, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
[Becker, Jamie W.; Chisholm, Sallie W.; Polz, Martin F.] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave,48-417, Cambridge, MA 02140 USA.
[Knudsen, Scott M.; Manalis, Scott R.] MIT, Dept Biol Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA USA.
[Manalis, Scott R.] MIT, Dept Mech Engn, Cambridge, MA 02139 USA.
RP Polz, MF (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave,48-417, Cambridge, MA 02140 USA.
EM mpolz@mit.edu
CR Bertilsson S, 2003, LIMNOL OCEANOGR, V48, P1721, DOI 10.4319/lo.2003.48.5.1721
Buitenhuis ET, 2012, EARTH SYST SCI DATA, V4, P101, DOI 10.5194/essd-4-101-2012
Burg TP, 2007, NATURE, V446, P1066, DOI 10.1038/nature05741
Delgado FF, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0067590
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Fagerbakke KM, 1996, AQUAT MICROB ECOL, V10, P15, DOI 10.3354/ame010015
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
KOGURE K, 1987, APPL ENVIRON MICROB, V53, P274, DOI 10.1128/AEM.53.2.274-277.1987
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
Loferer-Krössbacher M, 1998, APPL ENVIRON MICROB, V64, P688
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Takemura AE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00038
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Westrich JR, 2016, P NATL ACAD SCI USA, V113, P5964, DOI 10.1073/pnas.1518080113
NR 18
TC 48
Z9 54
PD MAR
PY 2017
VL 11
IS 3
BP 825
EP 828
DI 10.1038/ismej.2016.161
UT WOS:000394542000022
DA 2025-07-30
ER
PT J
AU Mendoza-Cano, F
Encinas-García, T
Muhlia-Almazán, A
Porchas-Cornejo, M
de la Re-Vega, E
Sánchez-Paza, A
AF Mendoza-Cano, F.
Encinas-Garcia, T.
Muhlia-Almazan, A.
Porchas-Cornejo, M.
de la Re-Vega, E.
Sanchez-Paza, A.
TI Development and validation of a real-time PCR assay protocol for the
specific detection and quantification of pelagiphages in seawater
samples
SO MARINE ENVIRONMENTAL RESEARCH
DT Article
AB Earth is inhabited by numerous adaptations of cellular forms shaped by the persistent scrutiny of natural selection. Thus, as natural selection has fixed beneficial adaptations of functional traits, cellular life has conquered almost all environmental niches on our planet. However, cellular life succumbs in number and genetic diversity to viruses. Among all viruses, phages are highly prevalent in diverse environments, and due to their vast genetic diversity and abundance, their relevant role as significant players in several ecological processes is now fully recognized. Pelagiphages, bacteriophages infecting bacteria of the SAR11 clade, are the most abundant viruses in the oceans. However, the ecological contribution of pelagiphages on populations of Pelagibacterales remains largely underestimated. An essential aspect of estimating the impact of bacteriophages is their absolute and precise quantification, which provides relevant information about the host-virus interactions and the structure of viral assemblages. Consequently, due to its abundance and claimed influence in the biogeochemical cycling of elements, the accurate quantification of pelagiphages results in an essential task. This study describes the development and validation of a sensitive, specific, accurate and reproducible qPCR platform targeting pelagiphages. Moreover, this method allowed the detection and quantification of pelagiphages in the Gulf of California for the first time.
C1 [Mendoza-Cano, F.; Encinas-Garcia, T.; Sanchez-Paza, A.] Ctr Invest Biol Noroeste CIBNOR, Lab Virol, SC Camus Hermosillo,Calle Hermosa 101, Hermosillo 83206, Sonora, Mexico.
[Muhlia-Almazan, A.] Ctr Invest Alimentac & Desarrollo CIAD, Bioenerget & Mol Genet Lab, AC Carretera Gustavo Enrique Astiazaran Rosas 46, Hermosillo 83304, Sonora, Mexico.
[Porchas-Cornejo, M.] Ctr Invest Biol Noroeste, SC Km 2 35 Carretera Tinajas S-N, Guaymas 85460, Sonora, Mexico.
[Encinas-Garcia, T.; de la Re-Vega, E.] Univ Sonora, Dept Invest Cient & Tecnol DICTUS, Hermosillo 83000, Sonora, Mexico.
[Sanchez-Paza, A.] Ctr Invest Biol Noroeste SC, Lab Virol, Hermosa 101, Hermosillo 83106, Sonora, Mexico.
RP Sánchez-Paza, A (corresponding author), Ctr Invest Biol Noroeste SC, Lab Virol, Hermosa 101, Hermosillo 83106, Sonora, Mexico.
CR Acker M, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2113386119
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Ankrah NYD, 2014, ISME J, V8, P1089, DOI 10.1038/ismej.2013.216
Asif S., 2021, Research in Molecular Medicine, V9, P81, DOI [10.32598/rmm.9.2.1189.1, DOI 10.32598/RMM.9.2.1189.1]
Baran N, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0045-y
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchholz HH, 2023, ISME J, V17, P1660, DOI 10.1038/s41396-023-01466-1
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Buckingham LJ, 2022, J EVOLUTION BIOL, V35, P205, DOI 10.1111/jeb.13981
Bustin SA, 2009, CLIN CHEM, V55, P611, DOI 10.1373/clinchem.2008.112797
Chaban Y, 2015, P NATL ACAD SCI USA, V112, P7009, DOI 10.1073/pnas.1504039112
Choudhuri S., 2014, Bioinformatics for Beginners, P133, DOI [10.1016/B978-0-12-410471-6.00006-2, DOI 10.1016/B978-0-12-410471-6.00006-2]
Chu YM, 2022, ENVIRON RES, V210, DOI 10.1016/j.envres.2022.112901
Chukwuemeka PO, 2020, J GENET ENG BIOTECHN, V18, DOI 10.1186/s43141-020-00086-y
DeLong EE, 2005, NAT REV MICROBIOL, V3, P459, DOI 10.1038/nrmicro1158
Deng ZB, 2022, VIRUS EVOL, V8, DOI 10.1093/ve/veac031
DIEFFENBACH CW, 1993, PCR METH APPL, V3, pS30
Du S, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000596
Duhaime MB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01241
Dwight Z, 2011, BIOINFORMATICS, V27, P1019, DOI 10.1093/bioinformatics/btr065
Eggleston EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01534
Erickson K., 2010, Ecol. Primus, V20, P438, DOI [DOI 10.1080/10511970903487705, 10.1080/10511970903487705]
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goris J, 2007, INT J SYST EVOL MICR, V57, P81, DOI 10.1099/ijs.0.64483-0
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
HALL T.A., 1999, NUCL ACIDS S SERIES, V41, P95, DOI [DOI 10.1021/BK-1999-0734.CH008, DOI 10.14601/PHYTOPATHOLMEDITERR-14998U1.29]
HE QS, 1994, BIOTECHNIQUES, V17, P82
Hevroni G, 2020, P NATL ACAD SCI USA, V117, P29738, DOI 10.1073/pnas.2010783117
Hwang J, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169841
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kalendar R, 2017, GENOMICS, V109, P312, DOI 10.1016/j.ygeno.2017.05.005
Kalendar R, 2014, METHODS MOL BIOL, V1116, P271, DOI 10.1007/978-1-62703-764-8_18
Karwath A, 2002, BMC BIOINFORMATICS, V3, DOI 10.1186/1471-2105-3-11
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Koskella B, 2014, FEMS MICROBIOL REV, V38, P916, DOI 10.1111/1574-6976.12072
Logares R, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00827-8
Lokareddy RK, 2022, VIRUSES-BASEL, V14, DOI 10.3390/v14102215
Martinez-Hernandez F, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01226
McGinnis S, 2004, NUCLEIC ACIDS RES, V32, pW20, DOI 10.1093/nar/gkh435
McNulty R, 2015, J MOL BIOL, V427, P3285, DOI 10.1016/j.jmb.2015.08.013
Miranda P, 2021, MOL CELL PROBE, V56, DOI 10.1016/j.mcp.2021.101707
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nadal M, 2010, P NATL ACAD SCI USA, V107, P16078, DOI 10.1073/pnas.1007144107
Naureen Zakira, 2020, Acta Biomed, V91, pe2020024, DOI 10.23750/abm.v91i13-S.10819
Ortmann AC, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw133
Pearson W.R., 2013, Curr. Protoc. Bioinform, V42, DOI [10.1002/0471250953.bi0301-42,3.1.1-3.1.8, DOI 10.1002/0471250953.BI0301-42,3.1.1-3.1.8]
Pourtois J, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00221
PROCTOR LM, 1993, MICROBIAL ECOL, V25, P161, DOI 10.1007/BF00177193
Rao VB, 2008, ANNU REV GENET, V42, P647, DOI 10.1146/annurev.genet.42.110807.091545
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Richter M, 2016, BIOINFORMATICS, V32, P929, DOI 10.1093/bioinformatics/btv681
Rifaie S., 2022, Microbial Diversity in Hotspots, P317, DOI [10.1016/B978-0-323-90148-2.00003-1, DOI 10.1016/B978-0-323-90148-2.00003-1]
Robinson O, 2016, MOL BIOL EVOL, V33, P2163, DOI 10.1093/molbev/msw080
Roux S, 2019, NAT BIOTECHNOL, V37, P29, DOI 10.1038/nbt.4306
Roy A, 2012, STRUCTURE, V20, P1403, DOI 10.1016/j.str.2012.05.014
Rychlik W, 1993, Methods Mol Biol, V15, P31, DOI 10.1385/0-89603-244-2:31
RYCHLIK W, 1990, NUCLEIC ACIDS RES, V18, P6409, DOI 10.1093/nar/18.21.6409
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Secor PR, 2020, MBIO, V11, DOI 10.1128/mBio.00041-20
Sela I, 2015, NUCLEIC ACIDS RES, V43, pW7, DOI 10.1093/nar/gkv318
Shaidullina A, 2022, CURR OPIN MICROBIOL, V70, DOI 10.1016/j.mib.2022.102225
Shen XD, 2012, ARCH VIROL, V157, P2133, DOI 10.1007/s00705-012-1409-5
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Svec David, 2015, Biomol Detect Quantif, V3, P9, DOI 10.1016/j.bdq.2015.01.005
Tadmor AD, 2022, BIOINFORMATICS, V38, P631, DOI 10.1093/bioinformatics/btab703
Theiss J, 2019, PLOS PATHOG, V15, DOI 10.1371/journal.ppat.1008175
Tran PQ, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.01138-21
Untergasser A, 2007, NUCLEIC ACIDS RES, V35, pW71, DOI 10.1093/nar/gkm306
Wegrzyn G, 2022, POL J MICROBIOL, V71, P3, DOI 10.33073/pjm-2022-005
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Wittmers F, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.01522-21
WU DY, 1991, DNA CELL BIOL, V10, P233, DOI 10.1089/dna.1991.10.233
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 78
TC 2
Z9 2
PD OCT
PY 2023
VL 191
AR 106168
DI 10.1016/j.marenvres.2023.106168
EA SEP 2023
UT WOS:001079724200001
DA 2025-07-30
ER
PT J
AU Reisch, CR
Moran, MA
Whitman, WB
AF Reisch, Chris R.
Moran, Mary Ann
Whitman, William B.
TI Dimethylsulfoniopropionate-Dependent Demethylase (DmdA) from
Pelagibacter ubique and Silicibacter pomeroyi
SO JOURNAL OF BACTERIOLOGY
DT Article
AB The ubiquitous algal metabolite dimethylsulfoniopropionate ( DMSP) is a major source of carbon and reduced sulfur for marine bacteria. Recently, the enzyme responsible for the demethylation of DMSP, designated DmdA, was identified, and homologs were found to be common in marine bacterioplankton cells. The recombinant DmdA proteins from the cultured marine bacteria Pelagibacter ubique HTCC1062 and Silicibacter pomeroyi DSS-3 were purified with a three-step procedure using anion-exchange, hydrophobic interaction, and hydroxyapatite chromatographies. The P. ubique enzyme possessed an M-r on sodium dodecyl sulfate-polyacrylamide gel electrophoresis of 38,500. Under nondenaturing conditions, the M-r was 68,000, suggesting that the enzyme was likely to be a dimer. The purified enzyme exhibited strict substrate specificity for DMSP, as DmdA from both S. pomeroyi and P. ubique possessed no detectable demethylase activity with glycine betaine, dimethyl glycine, methylmercaptopropionate, methionine, or dimethylsulfonioacetate. Less than 1% activity was found with dimethylsulfoniobutanoate and dimethylsulfoniopentanoate. The apparent K(m)s for DMSP were 13.2 +/- 2.0 and 5.4 +/- 2.3 mM for the P. ubique and S. pomeroyi enzymes, respectively. In cell extracts of S. pomeroyi DSS-3, the apparent K-m for DMSP was 8.6 +/- 1.2 mM, similar to that of purified recombinant DmdA. The intracellular concentration of DMSP in chemostat-grown S. pomeroyi DSS-3 was 70 mM. These results suggest that marine bacterioplankton may actively accumulate DMSP to osmotically significant concentrations that favor near-maximal rates of DMSP demethylation activity.
C1 [Reisch, Chris R.; Whitman, William B.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Whitman, WB (corresponding author), Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
EM whitman@uga.edu
CR ABEE T, 1990, J BACTERIOL, V172, P149, DOI 10.1128/JB.172.1.149-154.1990
ANDREAE MO, 1983, SCIENCE, V221, P744, DOI 10.1126/science.221.4612.744
Archer SD, 2001, AQUAT MICROB ECOL, V24, P225, DOI 10.3354/ame024225
CHAMBERS ST, 1987, J BACTERIOL, V169, P4845, DOI 10.1128/jb.169.10.4845-4847.1987
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Cosquer A, 1999, APPL ENVIRON MICROB, V65, P3304
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
DESOUZA MP, 1995, APPL ENVIRON MICROB, V61, P21, DOI 10.1128/AEM.61.1.21-26.1995
DIAZ MR, 1992, FEMS MICROBIOL LETT, V96, P61, DOI 10.1111/j.1574-6968.1992.tb05394.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Gonzalez JM, 1997, INT J SYST BACTERIOL, V47, P773, DOI 10.1099/00207713-47-3-773
GORNALL AG, 1949, J BIOL CHEM, V177, P751
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Jansen M, 2000, J SEA RES, V43, P225, DOI 10.1016/S1385-1101(00)00020-4
KAUFMAN BT, 1963, J BIOL CHEM, V238, P1498
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 1996, MAR CHEM, V54, P69, DOI 10.1016/0304-4203(96)00006-0
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Kiene RP, 1998, AQUAT MICROB ECOL, V15, P39, DOI 10.3354/ame015039
KIKUCHI G, 1973, MOL CELL BIOCHEM, V1, P169, DOI 10.1007/BF01659328
Kirst GO, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P121
Koch Arthur L., 1994, P248
Leys D, 2003, EMBO J, V22, P4038, DOI 10.1093/emboj/cdg395
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
OKAMURAIKEDA K, 1982, J BIOL CHEM, V257, P135
OKAMURAIKEDA K, 1992, J BIOL CHEM, V267, P18284
PERROUD B, 1985, J BACTERIOL, V161, P393, DOI 10.1128/JB.161.1.393-401.1985
Schaechter M., 1990, PHYSL BACTERIAL CELL
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Slow S, 2007, EXP TOXICOL PATHOL, V58, P285, DOI 10.1016/j.etp.2006.10.004
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
vanderMaarel MJEC, 1996, FEMS MICROBIOL LETT, V143, P241, DOI 10.1016/0378-1097(96)00320-5
VISSCHER PT, 1992, MAR ECOL PROG SER, V89, P293, DOI 10.3354/meps089293
WACKETT LP, 1987, BIOCHEMISTRY-US, V26, P6012, DOI 10.1021/bi00393a010
Wolfe GV, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P277
Wolfe GV, 1997, NATURE, V387, P894, DOI 10.1038/43168
NR 46
TC 98
Z9 111
PD DEC
PY 2008
VL 190
IS 24
BP 8018
EP 8024
DI 10.1128/JB.00770-08
UT WOS:000261217900020
DA 2025-07-30
ER
PT J
AU Georgiades, K
Madoui, MA
Le, P
Robert, C
Raoult, D
AF Georgiades, Kalliopi
Madoui, Mohammed-Amine
Le, Phuong
Robert, Catherine
Raoult, Didier
TI Phylogenomic Analysis of Odyssella thessalonicensis Fortifies the
Common Origin of Rickettsiales, Pelagibacter ubique and
Reclimonas americana Mitochondrion
SO PLOS ONE
DT Article
AB Background: The evolution of the Alphaproteobacteria and origin of the mitochondria are topics of considerable debate. Most studies have placed the mitochondria ancestor within the Rickettsiales order. Ten years ago, the bacterium Odyssella thessalonicensis was isolated from Acanthamoeba spp., and the 16S rDNA phylogeny placed it within the Rickettsiales. Recently, the whole genome of O. thessalonicensis has been sequenced, and 16S rDNA phylogeny and more robust and accurate phylogenomic analyses have been performed with 65 highly conserved proteins.
Methodology/Principal Findings: The results suggested that the O. thessalonicensis emerged between the Rickettsiales and other Alphaproteobacteria. The mitochondrial proteins of the Reclinomonas americana have been used to locate the phylogenetic position of the mitochondrion ancestor within the Alphaproteobacteria tree. Using the K tree score method, nine mitochondrion-encoded proteins, whose phylogenies were congruent with the Alphaproteobacteria phylogenomic tree, have been selected and concatenated for Bayesian and Maximum Likelihood phylogenies. The Reclinomonas americana mitochondrion is a sister taxon to the free-living bacteria Candidatus Pelagibacter ubique, and together, they form a clade that is deeply rooted in the Rickettsiales clade.
Conclusions/Significance: The Reclinomonas americana mitochondrion phylogenomic study confirmed that mitochondria emerged deeply in the Rickettsiales clade and that they are closely related to Candidatus Pelagibacter ubique.
C1 [Georgiades, Kalliopi; Madoui, Mohammed-Amine; Le, Phuong; Robert, Catherine; Raoult, Didier] Univ Mediterranee, Fac Med, URMITE, CNRS IRD UMR 6236, Marseille, France.
[Le, Phuong] Univ Aix Marseille 1, LATP UMR CNRS 6632, FR 3098, IFR48, Marseille, France.
RP Georgiades, K (corresponding author), Univ Mediterranee, Fac Med, URMITE, CNRS IRD UMR 6236, Marseille, France.
EM didier.raoult@gmail.com
CR Abhishek A, 2011, CAN J MICROBIOL, V57, P49, DOI 10.1139/w10-099
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Atteia A, 2009, MOL BIOL EVOL, V26, P1533, DOI 10.1093/molbev/msp068
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Batut J, 2004, NAT REV MICROBIOL, V2, P933, DOI 10.1038/nrmicro1044
Birtles RJ, 2000, INT J SYST EVOL MICR, V50, P63, DOI 10.1099/00207713-50-1-63
Blattner FR, 1997, SCIENCE, V277, P1453, DOI 10.1126/science.277.5331.1453
Cavalier-Smith T, 2002, INT J SYST EVOL MICR, V52, P297, DOI 10.1099/00207713-52-2-297
Cavalier-Smith T, 2004, P ROY SOC B-BIOL SCI, V271, P1251, DOI 10.1098/rspb.2004.2705
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Emelyanov VV, 2001, BIOSCIENCE REP, V21, P1, DOI 10.1023/A:1010409415723
Esser C, 2004, MOL BIOL EVOL, V21, P1643, DOI 10.1093/molbev/msh160
Esser C, 2007, TRENDS MICROBIOL, V15, P435, DOI 10.1016/j.tim.2007.09.001
Fitzpatrick DA, 2006, MOL BIOL EVOL, V23, P74, DOI 10.1093/molbev/msj009
FOX GE, 1992, INT J SYST BACTERIOL, V42, P166, DOI 10.1099/00207713-42-1-166
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Lang BF, 1997, NATURE, V387, P493, DOI 10.1038/387493a0
LARSEN N, 1993, NUCLEIC ACIDS RES, V21, P3021, DOI 10.1093/nar/21.13.3021
Merhej V, 2009, CLIN MICROBIOL INFEC, V15, P336, DOI 10.1111/j.1469-0691.2008.02265.x
Merhej V, 2009, BIOL DIRECT, V4, DOI 10.1186/1745-6150-4-13
Moliner Claire, 2009, BMC Res Notes, V2, P51, DOI 10.1186/1756-0500-2-51
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nikoh N, 2008, GENOME RES, V18, P272, DOI 10.1101/gr.7144908
Ogata H, 2001, SCIENCE, V293, P2093, DOI 10.1126/science.1061471
Rodriguez Ezpeleta I, 2011, MOL BIOL EVOL, DOI [10.5061/dryad.6477p, DOI 10.5061/DRYAD.6477P]
Ronquist F, 2003, BIOINFORMATICS, V19, P1572, DOI 10.1093/bioinformatics/btg180
Rosselló-Mora R, 2001, FEMS MICROBIOL REV, V25, P39, DOI 10.1016/S0168-6445(00)00040-1
Soltis PS, 2003, STAT SCI, V18, P256
Soria-Carrasco V, 2007, BIOINFORMATICS, V23, P2954, DOI 10.1093/bioinformatics/btm466
Talavera G, 2007, SYST BIOL, V56, P564, DOI 10.1080/10635150701472164
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
NR 35
TC 45
Z9 48
PD SEP 21
PY 2011
VL 6
IS 9
AR e24857
DI 10.1371/journal.pone.0024857
UT WOS:000295262100022
DA 2025-07-30
ER
PT J
AU Jing, XY
Gong, YH
Xu, T
Davison, PA
MacGregor-Chatwin, C
Hunter, CN
Xu, L
Meng, Y
Ji, YT
Ma, B
Xu, J
Huang, WE
AF Jing, Xiaoyan
Gong, Yanhai
Xu, Teng
Davison, Paul A.
MacGregor-Chatwin, Craig
Hunter, C. Neil
Xu, La
Meng, Yu
Ji, Yuetong
Ma, Bo
Xu, Jian
Huang, Wei E.
TI Revealing CO2-Fixing 2-Fixing SAR11 Bacteria in the Ocean by Raman-
Based Single-Cell Metabolic Profiling and Genomics
SO BIODESIGN RESEARCH
DT Article
AB The majority of marine microbes remain uncultured, which hinders the identification fi cation and mining of CO2-fixing 2- fi xing genes, pathways, and chassis from the oceans. Here, we investigated CO2-fixing 2- fi xing microbes in seawater from the euphotic zone of the Yellow Sea of China by detecting and tracking their 13 C-bicarbonate (13C-HCO3 13 C-HCO 3- ) intake via single-cell Raman spectra (SCRS) analysis. The target cells were then isolated by Raman-activated Gravity-driven Encapsulation (RAGE), and their genomes were amplified fi ed and sequenced at one-cell resolution. The single-cell metabolism, phenotype and genome are consistent. We identified fi ed a not- yet-cultured Pelagibacter spp., which actively assimilates 13 C-HCO 3- , and also possesses most of the genes encoding enzymes of the Calvin-Benson cycle for CO2 2 fi xation, a complete gene set for a rhodopsin-based light-harvesting system, and the full genes necessary for carotenoid synthesis. The four proteorhodopsin (PR) genes identified fi ed in the Pelagibacter spp. were confirmed fi rmed by heterologous expression in E. coli. . These results suggest that hitherto uncultured Pelagibacter spp. uses light-powered metabolism to contribute to global carbon cycling.
C1 [Jing, Xiaoyan; Gong, Yanhai; Xu, Teng; Meng, Yu; Ma, Bo; Xu, Jian] Chinese Acad Sci, Single Cell Ctr, CAS Key Lab Biofuels, Shandong Key Lab Energy Genet,Qingdao Inst Bioener, Qingdao, Shandong, Peoples R China.
[Jing, Xiaoyan; Gong, Yanhai; Xu, Teng; Meng, Yu; Ji, Yuetong; Ma, Bo; Xu, Jian] Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Shandong Inst Energy Res, Qingdao, Shandong, Peoples R China.
[Jing, Xiaoyan; Xu, Jian] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Shandong, Peoples R China.
[Jing, Xiaoyan; Gong, Yanhai; Xu, Teng; Meng, Yu; Ma, Bo; Xu, Jian] Univ Chinese Acad Sci, Beijing, Peoples R China.
[Davison, Paul A.; MacGregor-Chatwin, Craig; Hunter, C. Neil] Univ Sheffield, Plants Photosynth & Soil Sch Biosci, Sheffield S10 2TN, England.
[Xu, La] Marine Biol Inst Shandong Prov, Dis & Fishery Drugs Res Ctr, Qingdao, Shandong, Peoples R China.
[Ji, Yuetong] Single Cell Biotechnol Ltd, Qingdao, Shandong, Peoples R China.
[Huang, Wei E.] Univ Oxford, Dept Engn Sci, Parks Rd, Oxford OX1 3PJ, England.
RP Xu, J (corresponding author), Chinese Acad Sci, Single Cell Ctr, CAS Key Lab Biofuels, Shandong Key Lab Energy Genet,Qingdao Inst Bioener, Qingdao, Shandong, Peoples R China.; Xu, J (corresponding author), Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Shandong, Peoples R China.; Xu, J (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.; Huang, WE (corresponding author), Univ Oxford, Dept Engn Sci, Parks Rd, Oxford OX1 3PJ, England.
EM xujian@qibebt.ac.cn; wei.huang@eng.ox.ac.uk
CR Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Amicucci A, 2018, FUNGAL BIOL-UK, V122, P1134, DOI 10.1016/j.funbio.2018.07.007
Baltar F, 2019, BIOGEOSCIENCES, V16, P3793, DOI 10.5194/bg-16-3793-2019
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Beier S, 2015, ENV MICROBIOL REP, V7, P427, DOI 10.1111/1758-2229.12267
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Berry D, 2015, P NATL ACAD SCI USA, V112, pE194, DOI 10.1073/pnas.1420406112
Blainey PC, 2011, NUCLEIC ACIDS RES, V39, DOI 10.1093/nar/gkq1074
Bryant DA, 2006, TRENDS MICROBIOL, V14, P488, DOI 10.1016/j.tim.2006.09.001
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Crusoe Michael R, 2015, F1000Res, V4, P900, DOI 10.12688/f1000research.6924.1
Cui L, 2018, ANAL CHEM, V90, P5082, DOI 10.1021/acs.analchem.7b05080
Davison PA, 2022, ACS SYNTH BIOL, V11, P3805, DOI 10.1021/acssynbio.2c00397
Emms DM, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1832-y
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw8855
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
Han SR, 2016, J BIOTECHNOL, V226, P18, DOI 10.1016/j.jbiotec.2016.03.034
Hasegawa M, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-73606-y
He YH, 2019, BIOTECHNOL ADV, V37, DOI 10.1016/j.biotechadv.2019.04.010
Huang WE, 2004, ANAL CHEM, V76, P4452, DOI 10.1021/ac049753k
Huang WE, 2009, ENV MICROBIOL REP, V1, P44, DOI 10.1111/j.1758-2229.2008.00002.x
Huang WE, 2009, APPL ENVIRON MICROB, V75, P234, DOI 10.1128/AEM.01861-08
Jing XY, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00181-21
Jing XY, 2018, ENVIRON MICROBIOL, V20, P2241, DOI 10.1111/1462-2920.14268
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Kirchman DL, 2013, ENV MICROBIOL REP, V5, P188, DOI 10.1111/j.1758-2229.2012.00367.x
Koedooder C, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00435
Lee KS, 2019, NAT MICROBIOL, V4, P1035, DOI 10.1038/s41564-019-0394-9
Li HZ, 2019, ANAL CHEM, V91, P2239, DOI 10.1021/acs.analchem.8b04820
Li MQ, 2012, J PHYS CHEM A, V116, P6560, DOI 10.1021/jp212619n
Li MQ, 2012, ISME J, V6, P875, DOI 10.1038/ismej.2011.150
Lin GR, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0179792
McIlvenna D, 2016, LAB CHIP, V16, P1420, DOI 10.1039/c6lc00251j
McLean JS, 2013, P NATL ACAD SCI USA, V110, pE2390, DOI 10.1073/pnas.1219809110
Miroux B, 1996, J MOL BIOL, V260, P289, DOI 10.1006/jmbi.1996.0399
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Mulkidjanian AY, 2006, P NATL ACAD SCI USA, V103, P13126, DOI 10.1073/pnas.0605709103
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Pan XH, 2008, P NATL ACAD SCI USA, V105, P15499, DOI 10.1073/pnas.0808028105
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Quero GM, 2020, MICROB ECOL, V79, P823, DOI 10.1007/s00248-019-01451-2
RIMAI L, 1973, J AM CHEM SOC, V95, P4493, DOI 10.1021/ja00795a005
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Robert B, 2009, PHOTOSYNTH RES, V101, P147, DOI 10.1007/s11120-009-9440-4
Rodrigue S, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006864
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Song YZ, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.02087-19
Song YZ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16898-x
Song YZ, 2017, MICROB BIOTECHNOL, V10, P125, DOI 10.1111/1751-7915.12420
Song YZ, 2016, CURR OPIN CHEM BIOL, V33, P1, DOI 10.1016/j.cbpa.2016.04.002
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stepanauskas R, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00128-z
Su XL, 2020, ANAL CHEM, V92, P8081, DOI 10.1021/acs.analchem.9b05345
Tao YF, 2017, ANAL CHEM, V89, P4108, DOI 10.1021/acs.analchem.6b05051
von Lintig J, 2000, J BIOL CHEM, V275, P11915, DOI 10.1074/jbc.275.16.11915
Wang XX, 2017, ANAL CHEM, V89, P12569, DOI 10.1021/acs.analchem.7b03884
Wang Y, 2020, ENVIRON MICROBIOL, V22, P2613, DOI 10.1111/1462-2920.14962
Wang Y, 2020, MICROB BIOTECHNOL, V13, P572, DOI 10.1111/1751-7915.13519
Wang Y, 2016, CURR OPIN BIOTECH, V41, P34, DOI 10.1016/j.copbio.2016.04.018
Wang Y, 2013, ANAL CHEM, V85, P10697, DOI 10.1021/ac403107p
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Woyke T, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0026161
Woyke T, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010314
Xia XM, 2019, J GEOPHYS RES-BIOGEO, V124, P1001, DOI 10.1029/2018JG004707
Xu T, 2020, SMALL, V16, DOI 10.1002/smll.202001172
Yao GQ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00165
Yoshizawa S, 2012, ENVIRON MICROBIOL, V14, P1240, DOI 10.1111/j.1462-2920.2012.02702.x
Zeng YH, 2020, MBIO, V11, DOI 10.1128/mBio.02641-20
ZHANG L, 1992, P NATL ACAD SCI USA, V89, P5847, DOI 10.1073/pnas.89.13.5847
Zhang PR, 2015, ANAL CHEM, V87, P2282, DOI 10.1021/ac503974e
Zhang Q, 2015, ANALYST, V140, P6163, DOI 10.1039/c5an01074h
NR 83
TC 13
Z9 16
PD OCT 21
PY 2022
VL 2022
AR 9782712
DI 10.34133/2022/9782712
UT WOS:001281920700001
DA 2025-07-30
ER
PT J
AU Meyer, MM
Ames, TD
Smith, DP
Weinberg, Z
Schwalbach, MS
Giovannoni, SJ
Breaker, RR
AF Meyer, Michelle M.
Ames, Tyler D.
Smith, Daniel P.
Weinberg, Zasha
Schwalbach, Michael S.
Giovannoni, Stephen J.
Breaker, Ronald R.
TI Identification of candidate structured RNAs in the marine organism
'Candidatus Pelagibacter ubique'
SO BMC GENOMICS
DT Article
AB Background: Metagenomic sequence data are proving to be a vast resource for the discovery of biological components. Yet analysis of this data to identify functional RNAs lags behind efforts to characterize protein diversity. The genome of 'Candidatus Pelagibacter ubique' HTCC 1062 is the closest match for approximately 20% of marine metagenomic sequence reads. It is also small, contains little non-coding DNA, and has strikingly low GC content.
Results: To aid the discovery of RNA motifs within the marine metagenome we exploited the genomic properties of 'Cand. P. ubique' by targeting our search to long intergenic regions (IGRs) with relatively high GC content. Analysis of known RNAs (rRNA, tRNA, riboswitches etc.) shows that structured RNAs are significantly enriched in such IGRs. To identify additional candidate structured RNAs, we examined other IGRs with similar characteristics from 'Cand. P. ubique' using comparative genomics approaches in conjunction with marine metagenomic data. Employing this strategy, we discovered four candidate structured RNAs including a new riboswitch class as well as three additional likely cis-regulatory elements that precede genes encoding ribosomal proteins S2 and S12, and the cytoplasmic protein component of the signal recognition particle. We also describe four additional potential RNA motifs with few or no examples occurring outside the metagenomic data.
Conclusion: This work begins the process of identifying functional RNA motifs present in the metagenomic data and illustrates how existing completed genomes may be used to aid in this task.
C1 [Meyer, Michelle M.; Ames, Tyler D.; Breaker, Ronald R.] Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA.
[Breaker, Ronald R.] Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USA.
[Weinberg, Zasha; Breaker, Ronald R.] Yale Univ, Howard Hughes Med Inst, New Haven, CT 06520 USA.
[Smith, Daniel P.; Schwalbach, Michael S.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97333 USA.
RP Breaker, RR (corresponding author), Yale Univ, Dept Mol Cellular & Dev Biol, Box 208103, New Haven, CT 06520 USA.
EM michelle.meyer@yale.edu; tyler.ames@yale.edu; dansmith@orst.edu;
zasha.weinberg@yale.edu; schwalbm@onid.orst.edu;
steve.giovannoni@oregonstate.edu; ronald.breaker@yale.edu
CR Aiba H, 2007, CURR OPIN MICROBIOL, V10, P134, DOI 10.1016/j.mib.2007.03.010
Altman S, 2007, MOL BIOSYST, V3, P604, DOI 10.1039/b707850c
Altuvia S, 2007, CURR OPIN MICROBIOL, V10, P257, DOI 10.1016/j.mib.2007.05.003
AN G, 1981, NUCLEIC ACIDS RES, V9, P4163, DOI 10.1093/nar/9.16.4163
Aseev LV, 2008, RNA, V14, P1882, DOI 10.1261/rna.1099108
Barrick JE, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-11-r239
Batey RT, 2006, CURR OPIN STRUC BIOL, V16, P299, DOI 10.1016/j.sbi.2006.05.001
Batey RT, 2000, SCIENCE, V287, P1232, DOI 10.1126/science.287.5456.1232
Brodersen DE, 2002, J MOL BIOL, V316, P725, DOI 10.1006/jmbi.2001.5359
CERRETTI DP, 1988, J MOL BIOL, V204, P309, DOI 10.1016/0022-2836(88)90578-5
Corbino KA, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-8-r70
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Doudna JA, 2004, ANNU REV BIOCHEM, V73, P539, DOI 10.1146/annurev.biochem.73.011303.074048
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Eddy SR, 2002, CELL, V109, P137, DOI 10.1016/S0092-8674(02)00727-4
EDDY SR, 2009, INFERNAL USERS GUIDE
Egea PF, 2004, NATURE, V427, P215, DOI 10.1038/nature02250
Focia PJ, 2004, SCIENCE, V303, P373, DOI 10.1126/science.1090827
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
GERSTEIN M, 1994, J MOL BIOL, V236, P1067, DOI 10.1016/0022-2836(94)90012-4
Gilbert SD, 2008, NAT STRUCT MOL BIOL, V15, P177, DOI 10.1038/nsmb.1371
Gill SR, 2006, SCIENCE, V312, P1355, DOI 10.1126/science.1124234
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gourse R. L., 1986, STRUCTURE FUNCTION G, P766
GREGORY RJ, 1988, J MOL BIOL, V204, P295, DOI 10.1016/0022-2836(88)90577-3
Griffiths-Jones S, 2005, NUCLEIC ACIDS RES, V33, pD121, DOI 10.1093/nar/gki081
Griffiths-Jones S, 2005, BIOINFORMATICS, V21, P257, DOI 10.1093/bioinformatics/bth489
GRUNDY FJ, 1991, J BACTERIOL, V173, P4595, DOI 10.1128/jb.173.15.4595-4602.1991
Guillier M, 2002, RNA, V8, P878, DOI 10.1017/S1355838202029084
Henkin TM, 2002, BIOESSAYS, V24, P700, DOI 10.1002/bies.10125
Hershberg R, 2003, NUCLEIC ACIDS RES, V31, P1813, DOI 10.1093/nar/gkg297
Hüttenhofer A, 2006, NUCLEIC ACIDS RES, V34, P635, DOI 10.1093/nar/gkj469
JENSEN CG, 1994, J BACTERIOL, V176, P7148, DOI 10.1128/JB.176.23.7148-7154.1994
JENSEN CG, 1994, J BACTERIOL, V176, P2502, DOI 10.1128/JB.176.9.2502-2506.1994
JINKSROBERTSON S, 1982, J BACTERIOL, V151, P193, DOI 10.1128/JB.151.1.193-202.1982
JOHNSEN M, 1982, EMBO J, V1, P999, DOI 10.1002/j.1460-2075.1982.tb01284.x
Jossinet F, 2007, CURR OPIN MICROBIOL, V10, P279, DOI 10.1016/j.mib.2007.05.010
Kaczanowska M, 2007, MICROBIOL MOL BIOL R, V71, P477, DOI 10.1128/MMBR.00013-07
Kazanov MD, 2007, BMC GENOMICS, V8, DOI 10.1186/1471-2164-8-347
Kazantsev AV, 2006, NAT REV MICROBIOL, V4, P729, DOI 10.1038/nrmicro1491
Keiler KC, 2000, P NATL ACAD SCI USA, V97, P7778, DOI 10.1073/pnas.97.14.7778
Klein RJ, 2002, P NATL ACAD SCI USA, V99, P7542, DOI 10.1073/pnas.112063799
Klein RJ, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-44
Kurokawa K, 2007, DNA RES, V14, P169, DOI 10.1093/dnares/dsm018
Larsson P, 2008, GENOME RES, V18, P888, DOI 10.1101/gr.069104.107
LINDAHL L, 1983, CELL, V33, P241, DOI 10.1016/0092-8674(83)90353-7
Mandal M, 2004, SCIENCE, V306, P275, DOI 10.1126/science.1100829
Marchler-Bauer A, 2005, NUCLEIC ACIDS RES, V33, pD192, DOI 10.1093/nar/gki069
Markowitz VM, 2008, NUCLEIC ACIDS RES, V36, pD534, DOI 10.1093/nar/gkm869
Martín HG, 2006, NAT BIOTECHNOL, V24, P1263, DOI 10.1038/nbt1247
Mavromatis K, 2007, NAT METHODS, V4, P495, DOI 10.1038/nmeth1043
Merianos HJ, 2004, RNA, V10, P954, DOI 10.1261/rna.7030704
Moore SD, 2007, ANNU REV BIOCHEM, V76, P101, DOI 10.1146/annurev.biochem.75.103004.142733
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nevskaya N, 2005, NUCLEIC ACIDS RES, V33, P478, DOI 10.1093/nar/gki194
Noguchi H, 2006, NUCLEIC ACIDS RES, V34, P5623, DOI 10.1093/nar/gkl723
Park SK, 2002, J BACTERIOL, V184, P2642, DOI 10.1128/JB.184.10.2642-2653.2002
PHILIPPE C, 1990, J MOL BIOL, V211, P415, DOI 10.1016/0022-2836(90)90362-P
Pool MR, 2005, MOL MEMBR BIOL, V22, P3, DOI 10.1080/09687860400026348
Pruitt KD, 2007, NUCLEIC ACIDS RES, V35, pD61, DOI 10.1093/nar/gkl842
Raes J, 2007, CURR OPIN MICROBIOL, V10, P490, DOI 10.1016/j.mib.2007.09.001
Rivas E, 2001, CURR BIOL, V11, P1369, DOI 10.1016/S0960-9822(01)00401-8
Rodionov DA, 2002, J BIOL CHEM, V277, P48949, DOI 10.1074/jbc.M208965200
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SAITO K, 1994, J MOL BIOL, V235, P111, DOI 10.1016/S0022-2836(05)80020-8
Schattner P, 2002, NUCLEIC ACIDS RES, V30, P2076, DOI 10.1093/nar/30.9.2076
Scott LG, 2001, J MOL BIOL, V314, P413, DOI 10.1006/jmbi.2001.5165
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Steffen P, 2006, BIOINFORMATICS, V22, P500, DOI 10.1093/bioinformatics/btk010
Stelzl U, 2003, J BIOL CHEM, V278, P28237, DOI 10.1074/jbc.M302651200
SZER W, 1975, P NATL ACAD SCI USA, V72, P2325, DOI 10.1073/pnas.72.6.2325
Tchufistova LS, 2003, NUCLEIC ACIDS RES, V31, P6996, DOI 10.1093/nar/gkg883
Tedin K, 1999, MOL MICROBIOL, V31, P67, DOI 10.1046/j.1365-2958.1999.01147.x
Tjaden B, 2002, NUCLEIC ACIDS RES, V30, P3732, DOI 10.1093/nar/gkf505
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Turnbaugh PJ, 2006, NATURE, V444, P1027, DOI 10.1038/nature05414
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Upadhyay R, 2005, MOL BIOCHEM PARASIT, V144, P149, DOI 10.1016/j.molbiopara.2005.08.012
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang JX, 2008, BIOCHEM CELL BIOL, V86, P157, DOI 10.1139/O08-008
Warnecke F, 2007, NATURE, V450, P560, DOI 10.1038/nature06269
Weinberg Z, 2006, BIOINFORMATICS, V22, P35, DOI 10.1093/bioinformatics/bti743
Weinberg Z, 2008, RNA, V14, P822, DOI 10.1261/rna.988608
Weinberg Z, 2007, NUCLEIC ACIDS RES, V35, P4809, DOI 10.1093/nar/gkm487
Winkler W, 2002, NATURE, V419, P952, DOI 10.1038/nature01145
Winkler WC, 2005, ANNU REV MICROBIOL, V59, P487, DOI 10.1146/annurev.micro.59.030804.121336
Woyke T, 2006, NATURE, V443, P950, DOI 10.1038/nature05192
Yao ZZ, 2006, BIOINFORMATICS, V22, P445, DOI 10.1093/bioinformatics/btk008
YATES JL, 1980, CELL, V21, P517, DOI 10.1016/0092-8674(80)90489-4
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Yooseph S, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-182
ZENGEL JM, 1980, CELL, V21, P523, DOI 10.1016/0092-8674(80)90490-0
ZENGEL JM, 1994, PROG NUCLEIC ACID RE, V47, P331, DOI 10.1016/S0079-6603(08)60256-1
Zhu YL, 2007, NUCLEIC ACIDS RES, V35, P2283, DOI 10.1093/nar/gkm057
Zwieb C, 2003, NUCLEIC ACIDS RES, V31, P446, DOI 10.1093/nar/gkg019
NR 98
TC 56
Z9 74
PD JUN 16
PY 2009
VL 10
AR 268
DI 10.1186/1471-2164-10-268
UT WOS:000267738200001
DA 2025-07-30
ER
PT J
AU Martocello, DE
Morel, FMM
McRose, DL
AF Martocello, Donald E., III
Morel, Francois M. M.
McRose, Darcy L.
TI H-Aquil: a chemically defined cell culture medium for trace metal
studies in Vibrios and other marine heterotrophic bacteria
SO BIOMETALS
DT Article
AB A variety of trace metals, including prominently iron (Fe) are necessary for marine microorganisms. Chemically defined medium recipes have been used for several decades to study phytoplankton, but similar methods have not been adopted as widely in studies of marine heterotrophic bacteria. Medium recipes for these organisms frequently include tryptone, casamino acids, as well as yeast and animal extracts. These components introduce unknown concentrations of trace elements and organic compounds, complicating metal speciation. Minimal medium recipes utilizing known carbon and nitrogen sources do exist but often have high background trace metal concentrations. Here we present H-Aquil, a version of the phytoplankton medium Aquil adapted for marine heterotrophic bacteria. This medium consists of artificial seawater supplemented with a carbon source, phosphate, amino acids, and vitamins. As in Aquil, trace metals are controlled using the synthetic chelator EDTA. We also address concerns of EDTA toxicity, showing that concentrations up to 100 mu M EDTA do not lead to growth defects in the copiotrophic bacterium Vibrio harveyi or the oligotrophic bacterium Candidatus Pelagibacter ubique HTCC1062, a member of the SAR11 clade. H-Aquil is used successfully to culture species of Vibrio, Phaeobacter, and Silicibacter, as well as several environmental isolates. We report a substantial decrease in growth rate between cultures grown with or without added Fe, making the medium suitable for conducting Fe-limitation studies in a variety of marine heterotrophic bacteria.
C1 [Martocello, Donald E., III; Morel, Francois M. M.; McRose, Darcy L.] Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA.
[Martocello, Donald E., III] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Martocello, Donald E., III] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA.
[McRose, Darcy L.] CALTECH, Div Geol & Planetary Sci, 1200 E Calif Blvd, Pasadena, CA 91125 USA.
[McRose, Darcy L.] CALTECH, Div Biol & Biol Engn, 1200 E Calif Blvd, Pasadena, CA 91125 USA.
RP McRose, DL (corresponding author), CALTECH, Div Geol & Planetary Sci, 1200 E Calif Blvd, Pasadena, CA 91125 USA.; McRose, DL (corresponding author), CALTECH, Div Biol & Biol Engn, 1200 E Calif Blvd, Pasadena, CA 91125 USA.
EM dmcrose@caltech.edu
CR Baars O, SIDEROPHORE PR UNPUB
BASSLER BL, 1994, MOL MICROBIOL, V13, P273, DOI 10.1111/j.1365-2958.1994.tb00422.x
BERTANI G, 1951, J BACTERIOL, V62, P293, DOI 10.1128/JB.62.3.293-300.1951
BRAND LE, 1986, J EXP MAR BIOL ECOL, V96, P225, DOI 10.1016/0022-0981(86)90205-4
BROWN MRW, 1969, J GEN MICROBIOL, V59, P263, DOI 10.1099/00221287-59-2-263
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
EAGLE HARRY, 1955, JOUR BIOL CHEM, V214, P839
Farmer JJ, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 6, THIRD EDITION, P508, DOI 10.1007/0-387-30746-x_18
Frischkorn KR, 2017, ISME J, V11, P2090, DOI 10.1038/ismej.2017.74
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
Granger J, 1999, LIMNOL OCEANOGR, V44, P541, DOI 10.4319/lo.1999.44.3.0541
GREENBERG EP, 1979, ARCH MICROBIOL, V120, P87, DOI 10.1007/BF00409093
GUILLARD RR, 1962, CAN J MICROBIOL, V8, P229, DOI 10.1139/m62-029
HANCOCK REW, 1984, ANNU REV MICROBIOL, V38, P237, DOI 10.1146/annurev.mi.38.100184.001321
HERING JG, 1988, ENVIRON SCI TECHNOL, V22, P1469, DOI 10.1021/es00177a014
Hopkinson BM, 2008, APPL ENVIRON MICROB, V74, P6263, DOI 10.1128/AEM.00964-08
HUTNER S. H., 1950, PROC AMER PHIL SOC, V94, P152
KING EO, 1954, J LAB CLIN MED, V44, P301
Laboratories CSH, 2010, COLD SPRING HARBOR P, DOI [10.1101/pdb.rec12295, DOI 10.1101/PDB.REC12295]
Laboratories CSH, 2010, COLD SPRING HARBOR P, DOI [10.1101/pdb.rec085894, DOI 10.1101/PDB.REC085894]
LEIVE L, 1965, P NATL ACAD SCI USA, V53, P745, DOI 10.1073/pnas.53.4.745
Lin BC, 2010, ENV MICROBIOL REP, V2, P81, DOI 10.1111/j.1758-2229.2009.00100.x
Madigan MT, 2009, BROCK BIOL MICROORGA, P107
Martin JH, 1990, GLOBAL BIOGEOCHEM CY, V4, P5, DOI 10.1029/GB004i001p00005
MOREL FMM, 1979, J PHYCOL, V15, P135, DOI 10.1111/j.0022-3646.1979.00135.x
NEIDHARDT FC, 1974, J BACTERIOL, V119, P736, DOI 10.1128/JB.119.3.736-747.1974
NICAS TI, 1983, J GEN MICROBIOL, V129, P509
NIKAIDO H, 1985, MICROBIOL REV, V49, P1
Nikaido H, 2003, MICROBIOL MOL BIOL R, V67, P593, DOI 10.1128/MMBR.67.4.593-656.2003
PRICE N M, 1988, Biological Oceanography, V6, P443
PROVASOLI L, 1957, ARCH MIKROBIOL, V25, P392, DOI 10.1007/BF00446694
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Roe KL, 2013, APPL ENVIRON MICROB, V79, P5753, DOI 10.1128/AEM.01562-13
Roe KL, 2012, ENVIRON MICROBIOL, V14, P1681, DOI 10.1111/j.1462-2920.2011.02653.x
Sawabe T, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00414
Schneck E, 2010, P NATL ACAD SCI USA, V107, P9147, DOI 10.1073/pnas.0913737107
SCHWARZENBACH G, 1948, HELV CHIM ACTA, V31, P1029, DOI 10.1002/hlca.19480310407
Sunda WG., 2005, Algal Culturing Techniques, V4, P35, DOI 10.1007/ s13398-0140173-7.2
Thompson CC, 2007, INT J SYST EVOL MICR, V57, P2480, DOI 10.1099/ijs.0.65223-0
Westall J.C., 1976, Mineql: A Computer Program for the Calculation of Chemical Equilibrium Composition of Aqueous Systems
Zobell CE, 1941, J MAR RES, V4, P42
NR 41
TC 1
Z9 2
PD DEC
PY 2019
VL 32
IS 6
BP 819
EP 828
DI 10.1007/s10534-019-00215-2
UT WOS:000504206300001
DA 2025-07-30
ER
PT J
AU Beman, JM
Steele, JA
Fuhrman, JA
AF Beman, J. Michael
Steele, Joshua A.
Fuhrman, Jed A.
TI Co-occurrence patterns for abundant marine archaeal and bacterial
lineages in the deep chlorophyll maximum of coastal California
SO ISME JOURNAL
DT Article
AB Microorganisms remineralize and respire half of marine primary production, yet the niches occupied by specific microbial groups, and how these different groups may interact, are poorly understood. In this study, we identify co-occurrence patterns for marine Archaea and specific bacterial groups in the chlorophyll maximum of the Southern California Bight. Quantitative PCR time series of marine group 1 (MG1) Crenarchaeota 16S rRNA genes varied substantially over time but were well-correlated (r(2)=0.94, P<0.001) with ammonia monooxygenase subunit A (amoA) genes, and were more weakly related to 16S rRNA genes for all Archaea (r(2)=0.39), indicating that other archaeal groups (for example, Euryarchaeota) were numerically important. These data sets were compared with variability in bacterial community composition based on automated ribosomal intergenic spacer analysis (ARISA). We found that archaeal amoA gene copies and a SAR11 (or Pelagibacter) group Ib operational taxonomic unit (OTU) displayed strong co-variation through time (r(2)=0.55, P<0.05), and archaeal amoA and MG1 16S rRNA genes also co-occurred with two SAR86 and two Bacteroidetes OTUs. The relative abundance of these groups increased and decreased in synchrony over the course of the time series, and peaked during periods of seasonal transition. By using a combination of quantitative and relative abundance estimates, our findings show that abundant microbial OTUs-including the marine Crenarchaeota, SAR11, SAR86 and the Bacteroidetes-co-occur non-randomly; they consequently have important implications for our understanding of microbial community ecology in the sea. The ISME Journal (2011) 5, 1077-1085; doi:10.1038/ismej.2010.204; published online 13 January 2011 Subject Category: microbial population and community ecology
C1 Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
Univ So Calif, Wrigley Inst Environm Studies, Los Angeles, CA USA.
RP Beman, JM (corresponding author), Univ Calif, Sch Nat Sci, Dept Biol Sci, 5200 N Lake Rd, Merced, CA 95343 USA.
EM jmbeman@gmail.com
CR Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Beman JM, 2008, ISME J, V2, P429, DOI 10.1038/ismej.2007.118
Beman JM, 2010, ENVIRON MICROBIOL, V12, P1282, DOI 10.1111/j.1462-2920.2010.02172.x
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Church MJ, 2010, ENVIRON MICROBIOL, V12, P679, DOI 10.1111/j.1462-2920.2009.02108.x
CLARK C, 1966, J BACTERIOL, V91, P367, DOI 10.1128/JB.91.1.367-373.1966
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
de la Torre JR, 2008, ENVIRON MICROBIOL, V10, P810, DOI 10.1111/j.1462-2920.2007.01506.x
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Erguder TH, 2009, FEMS MICROBIOL REV, V33, P855, DOI 10.1111/j.1574-6976.2009.00179.x
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Francis CA, 2007, ISME J, V1, P19, DOI 10.1038/ismej.2007.8
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Gundersen K., 1955, Plant and Soil, V7, P26, DOI 10.1007/BF01343544
Hallam SJ, 2006, PLOS BIOL, V4, P520, DOI 10.1371/journal.pbio.0040095
Hatzenpichler R, 2008, P NATL ACAD SCI USA, V105, P2134, DOI 10.1073/pnas.0708857105
Hayward TL, 1998, DEEP-SEA RES PT II, V45, P1617, DOI 10.1016/S0967-0645(98)80010-6
Hickey B. M., 1979, Progress in Oceanography, V8, P191, DOI 10.1016/0079-6611(79)90002-8
JONES RD, 1980, MICROB ECOL, V6, P271, DOI 10.1007/BF02010392
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kirchman DL, 2008, P NATL ACAD SCI USA, V105, P8487, DOI 10.1073/pnas.0804196105
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lam P, 2007, P NATL ACAD SCI USA, V104, P7104, DOI 10.1073/pnas.0611081104
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Leininger S, 2006, NATURE, V442, P806, DOI 10.1038/nature04983
Lomas MW, 2006, LIMNOL OCEANOGR, V51, P2453, DOI 10.4319/lo.2006.51.5.2453
LYNN RJ, 1987, J GEOPHYS RES-OCEANS, V92, P12947, DOI 10.1029/JC092iC12p12947
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Prosser JI, 2008, ENVIRON MICROBIOL, V10, P2931, DOI 10.1111/j.1462-2920.2008.01775.x
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Ruan QS, 2006, BIOINFORMATICS, V22, P2532, DOI 10.1093/bioinformatics/btl417
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
STEINMULLER W, 1976, ARCH MICROBIOL, V108, P299, DOI 10.1007/BF00454856
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Takai K, 2000, APPL ENVIRON MICROB, V66, P5066, DOI 10.1128/AEM.66.11.5066-5072.2000
Teske A, 2008, ISME J, V2, P3, DOI 10.1038/ismej.2007.90
Venrick EL, 2002, J MAR RES, V60, P171, DOI 10.1357/002224002762341294
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
NR 73
TC 65
Z9 84
PD JUL
PY 2011
VL 5
IS 7
BP 1077
EP 1085
DI 10.1038/ismej.2010.204
UT WOS:000295688500001
DA 2025-07-30
ER
PT J
AU Schnicker, NJ
De Silva, SM
Todd, JD
Dey, M
AF Schnicker, Nicholas J.
De Silva, Saumya M.
Todd, Jonathan D.
Dey, Mishtu
TI Structural and Biochemical Insights into Dimethylsulfoniopropionate
Cleavage by Cofactor-Bound DddK from the Prolific Marine Bacterium
Pelagibacter
SO BIOCHEMISTRY
DT Article
AB Enormous amounts of,the organic osmolyte drmethylsulfoniopro-pionate (DMSP) are produced in marine environments where bacterial DMSP lyases cleave it, yielding acrylate and the climate-active gas dimethyl sulfide (DMS). SAR11 bacteria are the most abundant Glade of heterotrophic bacteria in the oceans and play a key role in DMSP catabolism: An important environmental factor affecting DMS generation via DMSP lyases is the availability of metal ions because they are essential cofactors for many of these enzymes. Here we examine the structure and activity of DddK in the presence of various metal ions. We have established that DddK containing a double-stranded beta-helical, motif utilizes various divalent metal Rills as cofactors for catalytic activity. However, nickel, an abundant metal ion in marine environments, adopts a distorted octahedral coordination,environment and conferred the highest DMSP lyase activity. Crystal structures of cofactor-bound DddK reveal key metal ion binding. and catalytic residues and provide the first rationalization for varying activities with different Metal ions. The structures of DddK along with site-directed mutagenesis and ultraviolet-visible studies are consistent with Tyr 64 acting as a base to initiate the beta-elimination reaction of,DMSP. Our biochemical and structural studies provide a detailed understanding of DMS generation by one of the ocean's most prolific bacteria.
C1 [Schnicker, Nicholas J.; De Silva, Saumya M.; Dey, Mishtu] Univ Iowa, Dept Chem, Iowa City, IA 52242 USA.
[Todd, Jonathan D.] Univ East Anglia, Sch Biol Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
RP Dey, M (corresponding author), Univ Iowa, Dept Chem, Iowa City, IA 52242 USA.
EM mishtu-dey@uiowa.edu
CR Afonine PV, 2012, ACTA CRYSTALLOGR D, V68, P352, DOI 10.1107/S0907444912001308
Alcolombri U, 2015, SCIENCE, V348, P1466, DOI 10.1126/science.aab1586
Alcolombri U, 2014, P NATL ACAD SCI USA, V111, pE2078, DOI 10.1073/pnas.1401685111
Arora H, 2010, DALTON T, V39, P10088, DOI 10.1039/c0dt00342e
Berman H, 2003, NAT STRUCT BIOL, V10, P980, DOI 10.1038/nsb1203-980
Boer JL, 2014, ARCH BIOCHEM BIOPHYS, V544, P142, DOI 10.1016/j.abb.2013.09.002
Bruland KW., 2014, Treatise on Geochemistry, VSecond, P19, DOI DOI 10.1016/B978-0-08-095975-7.00602-1
Brummett AE, 2016, BIOCHEMISTRY-US, V55, P6162, DOI 10.1021/acs.biochem.6b00585
Brummett AE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127288
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chavez F.A., 2011, Modeling the Metal Binding Site in Cupin Proteins
Chen VB, 2010, ACTA CRYSTALLOGR D, V66, P12, DOI 10.1107/S0907444909042073
Cox P.A., 1989, The Elements: Their origin, abundance, and distribution
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Dickschat JS, 2015, ORG BIOMOL CHEM, V13, P1954, DOI 10.1039/c4ob02407a
Douglas CD, 2012, DALTON T, V41, P7876, DOI 10.1039/c2dt30132f
Dudev T, 2014, CHEM REV, V114, P538, DOI 10.1021/cr4004665
Dunwell JM, 2004, PHYTOCHEMISTRY, V65, P7, DOI 10.1016/j.phytochem.2003.08.016
Dunwell JM, 2001, TRENDS BIOCHEM SCI, V26, P740, DOI 10.1016/S0968-0004(01)01981-8
Evans PR, 2013, ACTA CRYSTALLOGR D, V69, P1204, DOI 10.1107/S0907444913000061
Franks M, 2013, INORG CHEM, V52, P660, DOI 10.1021/ic301731w
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Green RT, 2013, ISME J, V7, P581, DOI 10.1038/ismej.2012.140
Hajnal I, 2013, FEBS J, V280, P5815, DOI 10.1111/febs.12501
Harding MM, 2010, CRYSTALLOGR REV, V16, P247, DOI 10.1080/0889311X.2010.485616
Hogle SL, 2016, APPL ENVIRON MICROB, V82, P1613, DOI 10.1128/AEM.03128-15
Huo L, 2012, BIOCHEMISTRY-US, V51, P5811, DOI 10.1021/bi300635b
Johnston AWB, 2016, CURR OPIN CHEM BIOL, V31, P58, DOI 10.1016/j.cbpa.2016.01.011
Kabsch W, 2010, ACTA CRYSTALLOGR D, V66, P125, DOI 10.1107/S0907444909047337
Kaluarachchi H, 2009, J AM CHEM SOC, V131, P18489, DOI 10.1021/ja9081765
Kettle AJ, 2000, J GEOPHYS RES-ATMOS, V105, P26793, DOI 10.1029/2000JD900252
Khuri S, 2001, MOL BIOL EVOL, V18, P593, DOI 10.1093/oxfordjournals.molbev.a003840
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Knauer SH, 2012, FEBS J, V279, P816, DOI 10.1111/j.1742-4658.2012.08473.x
Krause E, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047035
Li CY, 2014, P NATL ACAD SCI USA, V111, P1026, DOI 10.1073/pnas.1312354111
Lipscomb WN, 1996, CHEM REV, V96, P2375, DOI 10.1021/cr950042j
Mccoy AJ, 2007, J APPL CRYSTALLOGR, V40, P658, DOI 10.1107/S0021889807021206
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Morin A, 2013, ELIFE, V2, DOI 10.7554/eLife.01456
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Padan E, 2005, BBA-BIOMEMBRANES, V1717, P67, DOI 10.1016/j.bbamem.2005.09.010
Park HI, 1998, J INORG BIOCHEM, V72, P57, DOI 10.1016/S0162-0134(98)10063-6
Pennella MA, 2003, P NATL ACAD SCI USA, V100, P3713, DOI 10.1073/pnas.0636943100
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Schnicker NJ, 2016, J BIOL CHEM, V291, P13360, DOI 10.1074/jbc.M116.725432
Schnicker NJ, 2016, ACTA CRYSTALLOGR D, V72, P675, DOI 10.1107/S2059798316004198
Schnitter R, 2014, DALTON T, V43, P13637, DOI 10.1039/c4dt02007c
Shimazaki Y, 2004, INORG CHEM, V43, P7816, DOI 10.1021/ic049040k
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Skrzypczak-Jankun E, 2001, J AM CHEM SOC, V123, P10814, DOI 10.1021/ja011759t
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Vraspir JM, 2009, ANNU REV MAR SCI, V1, P43, DOI 10.1146/annurev.marine.010908.163712
Yun D, 2011, J AM CHEM SOC, V133, P11262, DOI 10.1021/ja2025728
Zheng H, 2008, J INORG BIOCHEM, V102, P1765, DOI 10.1016/j.jinorgbio.2008.05.006
Zheng HP, 2014, NAT PROTOC, V9, P156, DOI 10.1038/nprot.2013.172
NR 60
TC 23
Z9 30
PD JUN 13
PY 2017
VL 56
IS 23
BP 2873
EP 2885
DI 10.1021/acs.biochem.7b00099
UT WOS:000403529900003
DA 2025-07-30
ER
PT J
AU Cabello-Yeves, PJ
Zemskaya, TI
Rosselli, R
Coutinho, FH
Zakharenko, AS
Blinov, VV
Rodriguez-Valera, F
AF Cabello-Yeves, Pedro J.
Zemskaya, Tamara I.
Rosselli, Riccardo
Coutinho, Felipe H.
Zakharenko, Alexandra S.
Blinov, Vadim V.
Rodriguez-Valera, Francisco
TI Genomes of Novel Microbial Lineages Assembled from the Sub-Ice Waters of
Lake Baikal
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We present a metagenomic study of Lake Baikal (East Siberia). Two samples obtained from the water column under the ice cover (5 and 20 m deep) in March 2016 have been deep sequenced and the reads assembled to generate metagenome-assembled genomes (MAGs) that are representative of the microbes living in this special environment. Compared with freshwater bodies studied around the world, Lake Baikal had an unusually high fraction of Verrucomicrobia. Other groups, such as Actinobacteria and Proteobacteria, were in proportions similar to those found in other lakes. The genomes (and probably cells) tended to be small, presumably reflecting the extremely oligotrophic and cold prevalent conditions. Baikal microbes are novel lineages recruiting very little from other water bodies and are distantly related to other freshwater microbes. Despite their novelty, they showed the closest relationship to genomes discovered by similar approaches from other freshwater lakes and reservoirs. Some of them were particularly similar to MAGs from the Baltic Sea, which, although it is brackish, connected to the ocean, and much more eutrophic, has similar climatological conditions. Many of the microbes contained rhodopsin genes, indicating that, in spite of the decreased light penetration allowed by the thick ice/snow cover, photoheterotrophy could be widespread in the water column, either because enough light penetrates or because the microbes are already adapted to the summer ice-less conditions. We have found a freshwater SAR11 subtype I/II representative showing striking synteny with Pelagibacter ubique strains, as well as a phage infecting the widespread freshwater bacterium Polynucleobacter.
IMPORTANCE Despite the increasing number of metagenomic studies on different freshwater bodies, there is still a missing component in oligotrophic cold lakes suffering from long seasonal frozen cycles. Here, we describe microbial genomes from metagenomic assemblies that appear in the upper water column of Lake Baikal, the largest and deepest freshwater body on Earth. This lake is frozen from January to May, which generates conditions that include an inverted temperature gradient (colder up), decrease in light penetration due to ice, and, especially, snow cover, and oligotrophic conditions more similar to the open-ocean and high-altitude lakes than to other freshwater or brackish systems. As could be expected, most reconstructed genomes are novel lineages distantly related to others in cold environments, like the Baltic Sea and other freshwater lakes. Among them, there was a broad set of streamlined microbes with small genomes/intergenic spacers, including a new nonmarine Pelagibacter-like (subtype I/II) genome.
C1 [Cabello-Yeves, Pedro J.; Rosselli, Riccardo; Coutinho, Felipe H.; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante, Spain.
[Zakharenko, Alexandra S.; Blinov, Vadim V.] Russian Acad Sci, Limnol Inst, Siberian Branch, Irkutsk, Russia.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante, Spain.
EM frvalera@umh.es
CR Acinas SG, 2005, APPL ENVIRON MICROB, V71, P8966, DOI 10.1128/AEM.71.12.8966-8969.2005
Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Arora PK, 2014, MICROB CELL FACT, V13, DOI 10.1186/1475-2859-13-31
Bardavid RE, 2012, EXTREMOPHILES, V16, P787, DOI 10.1007/s00792-012-0476-6
Bashenkhaeva MV, 2015, MICROB ECOL, V70, P751, DOI 10.1007/s00248-015-0619-2
Bel'kova NL, 2003, MICROBIOLOGY+, V72, P203, DOI 10.1023/A:1023224215929
Bondarenko N. A., 2013, Hydrobiological Journal, V49, P12, DOI 10.1615/HydrobJ.v49.i3.20
Bondarenko NA, 2012, J MICROBIOL, V50, P8, DOI 10.1007/s12275-012-1251-1
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02131
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01151
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
Daims H, 2015, NATURE, V528, P504, DOI 10.1038/nature16461
DeBruyn JM, 2013, J GEN APPL MICROBIOL, V59, P305
DeBruyn JM, 2011, APPL ENVIRON MICROB, V77, P6295, DOI 10.1128/AEM.05005-11
Driscoll CB, 2017, STAND GENOMIC SCI, V12, DOI 10.1186/s40793-017-0224-8
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eiler A, 2014, ENVIRON MICROBIOL, V16, P2682, DOI 10.1111/1462-2920.12301
FALKNER KK, 1991, LIMNOL OCEANOGR, V36, P413, DOI 10.4319/lo.1991.36.3.0413
Friedrich CG, 2005, CURR OPIN MICROBIOL, V8, P253, DOI 10.1016/j.mib.2005.04.005
Galazy G., 1993, ATLAS OF LAKE BAIKAL
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Ghai R, 2012, ENV MICROBIOL REP, V4, P29, DOI 10.1111/j.1758-2229.2011.00274.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grachev MA, 2002, PRESENT STATE ECOLOG
Gronnier J., 2016, PLANT SIGNALING BEHA, V11, pe1152438, DOI [DOI 10.1080/15592324.2016.1152438, 10.1080/15592324.2016.1152438]
Gross R, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-449
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Hahn MA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050284
Hampton SE, 2008, GLOBAL CHANGE BIOL, V14, P1947, DOI 10.1111/j.1365-2486.2008.01616.x
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Hoetzinger M, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02266-16
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Hügler M, 2011, ANNU REV MAR SCI, V3, P261, DOI 10.1146/annurev-marine-120709-142712
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jezbera J, 2011, ENVIRON MICROBIOL, V13, P922, DOI 10.1111/j.1462-2920.2010.02396.x
Jezberova J, 2010, ENVIRON MICROBIOL, V12, P658, DOI 10.1111/j.1462-2920.2009.02106.x
Kang I, 2017, SCI REP-UK, V7, DOI 10.1038/srep42252
Katano T, 2005, AQUAT ECOL, V39, P431, DOI 10.1007/s10452-005-9000-8
Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
Kennedy K, 2014, APPL ENVIRON MICROB, V80, P5717, DOI 10.1128/AEM.01451-14
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kozhova O.M., 1987, Advances in Limnology, V25, P19
Kurilkina MI, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw094
Lassmann T, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-298
Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
Lonhienne TGA, 2010, P NATL ACAD SCI USA, V107, P12883, DOI 10.1073/pnas.1001085107
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Mehrshad M, 2016, APPL ENVIRON MICROB, V82, P1599, DOI 10.1128/AEM.03381-15
Michaelson LV, 2016, BBA-MOL CELL BIOL L, V1861, P1329, DOI 10.1016/j.bbalip.2016.04.003
Mikhailov I, DOKL BIOCH BIOPHYS, V465, P413
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NAGATA T, 1994, J PLANKTON RES, V16, P945, DOI 10.1093/plankt/16.8.945
Nakano S, 2003, LIMNOLOGY, V4, P155, DOI 10.1007/s10201-003-0100-7
Nawrocki EP, 2009, THESIS, DOI 10.7936/K78050MP:
Nawrocki EP, 2010, SSUALIGN TOOL STRUCT
Neuenschwander SM, 2017, ISME J
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Oh SD, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01137-14
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Peura S, 2015, SCI REP-UK, V5, DOI 10.1038/srep12102
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Sambrook J., 1989, Molecular Cloning: A Laboratory Manual
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Seo JS, 2009, INT J ENV RES PUB HE, V6, P278, DOI 10.3390/ijerph6010278
Sharma AK, 2009, ISME J, V3, P726, DOI 10.1038/ismej.2009.13
Shimaraev M, 1994, BAIKAL INT CENT ECOL
SHIMARAEV MN, 1993, LIMNOL OCEANOGR, V38, P1068, DOI 10.4319/lo.1993.38.5.1068
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Toyama D, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.01440-16
Vieira S, 2017, INT J SYST EVOL MICR, V67, P1408, DOI 10.1099/ijsem.0.001827
Votinsev KK, 1979, DOKLADU AKAD NAUK SS, V216, P666
Votintsev K. K., 1975, CYCLE ORGANIC MATTER
Watanabe T, 2014, SYST APPL MICROBIOL, V37, P387, DOI 10.1016/j.syapm.2014.05.010
WEISS RF, 1991, NATURE, V349, P665, DOI 10.1038/349665a0
Weon HY, 2007, INT J SYST EVOL MICR, V57, P1594, DOI 10.1099/ijs.0.64935-0
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zeng YH, 2016, ENV MICROBIOL REP, V8, P139, DOI 10.1111/1758-2229.12363
Zeng YH, 2015, INT J SYST EVOL MICR, V65, P2410, DOI 10.1099/ijs.0.000272
Zeng YH, 2014, P NATL ACAD SCI USA, V111, P7795, DOI 10.1073/pnas.1400295111
NR 100
TC 76
Z9 85
PD JAN
PY 2018
VL 84
IS 1
AR e02132-17
DI 10.1128/AEM.02132-17
UT WOS:000418039700030
DA 2025-07-30
ER
PT J
AU Hill, PG
Zubkov, MV
Purdie, DA
AF Hill, Polly G.
Zubkov, Mikhail V.
Purdie, Duncan A.
TI Differential responses of Prochlorococcus and SAR11-dominated
bacterioplankton groups to atmospheric dust inputs in the tropical
Northeast Atlantic Ocean
SO FEMS MICROBIOLOGY LETTERS
DT Article
AB The metabolic responses of indigenous dominant bacterioplankton populations to additions of dust were examined in the tropical northeast Atlantic. Subsurface seawater samples were treated with dust, added directly or indirectly as a 'leachate' after its rapid dissolution in deionized water. Samples were incubated at ambient temperature and light for up to 24 h and microbial metabolic responses were assessed by 35S-methionine (35S-Met) uptake. Prochlorococcus and low nucleic acid (LNA) cells were sorted by flow cytometry to determine their group-specific responses. Sorted cells were also phylogenetically affiliated using FISH. The high-light-adapted ecotype II dominated the Prochlorococcus group and 73 +/- 14% of LNA prokaryotes belonged to the SAR11 clade of Alphaproteobacteria. Both Prochlorococcus and LNA cells were metabolically impaired by the addition of dust (40 +/- 28% and 37 +/- 22% decrease in 35S-Met uptake compared with controls, respectively). However, LNA bacterioplankton showed minor positive responses to dust leachate additions (7 +/- 4% increase in 35S-Met uptake), while the metabolic activity of Prochlorococcus cells decreased in the presence of dust leachate by 16 +/- 11%. Thus, dust dissolution in situ appears to be more deleterious to Prochlorococcus than SAR11-dominated LNA bacterioplankton and hence could initiate a compositional shift in the indigenous bacterioplankton.
C1 [Hill, Polly G.; Zubkov, Mikhail V.; Purdie, Duncan A.] Univ Southampton, Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
RP Hill, PG (corresponding author), Univ Southampton, Natl Oceanog Ctr, European Way, Southampton SO14 3ZH, Hants, England.
EM polly.hill@noc.soton.ac.uk
CR Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Bonnet S, 2005, LIMNOL OCEANOGR, V50, P1810, DOI 10.4319/lo.2005.50.6.1810
Buck CS, 2006, GEOCHEM GEOPHY GEOSY, V7, DOI 10.1029/2005GC000977
Caron DA, 2000, AQUAT MICROB ECOL, V22, P175, DOI 10.3354/ame022175
Casey JR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028725
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Duarte CM, 2006, J GEOPHYS RES-BIOGEO, V111, DOI 10.1029/2005JG000140
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
García-Fernández JM, 2004, MICROBIOL MOL BIOL R, V68, P630, DOI 10.1128/MMBR.68.4.630-638.2004
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2000, FEMS MICROBIOL ECOL, V31, P99, DOI 10.1111/j.1574-6941.2000.tb00675.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Guieu C., 2002, J GEOPHYS RES, V107, pD15, DOI DOI 10.1029/2001JD000582
Herut B, 2005, DEEP-SEA RES PT II, V52, P3024, DOI 10.1016/j.dsr2.2005.09.003
Jickells TD, 2005, SCIENCE, V308, P67, DOI 10.1126/science.1105959
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Li WKW, 1995, LIMNOL OCEANOGR, V40, P1485, DOI 10.4319/lo.1995.40.8.1485
Mahowald NM, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002402
Mann EL, 2002, LIMNOL OCEANOGR, V47, P976, DOI 10.4319/lo.2002.47.4.0976
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
McGillicuddy DJ, 1997, DEEP-SEA RES PT I, V44, P1427, DOI 10.1016/S0967-0637(97)00024-1
Mills MM, 2004, NATURE, V429, P292, DOI 10.1038/nature02550
Moore CM, 2006, GLOBAL CHANGE BIOL, V12, P626, DOI 10.1111/j.1365-2486.2006.01122.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
OLSON R.J., 1993, HDB METHODS AQUATIC, P175
Paytan A, 2009, P NATL ACAD SCI USA, V106, P4601, DOI 10.1073/pnas.0811486106
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pulido-Villena E, 2008, AQUAT SCI, V70, P1, DOI 10.1007/s00027-007-0944-8
Pulido-Villena E, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003091
Reche I, 2009, LIMNOL OCEANOGR, V54, P869, DOI 10.4319/lo.2009.54.3.0869
Rivkin RB, 1997, LIMNOL OCEANOGR, V42, P730, DOI 10.4319/lo.1997.42.4.0730
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rosenfeld D, 2001, P NATL ACAD SCI USA, V98, P5975, DOI 10.1073/pnas.101122798
SCHATTENHOFER M, 2009, THESIS U BREMEN BREM
SINGH RP, 2008, J GEOPHYS RES, V113, pC11
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 46
TC 34
Z9 37
PD MAY
PY 2010
VL 306
IS 1
BP 82
EP 89
DI 10.1111/j.1574-6968.2010.01940.x
UT WOS:000276246200012
DA 2025-07-30
ER
PT J
AU Sharma, AK
Becker, JW
Ottesen, EA
Bryant, JA
Duhamel, S
Karl, DM
Cordero, OX
Repeta, DJ
DeLong, EF
AF Sharma, Adrian K.
Becker, Jamie W.
Ottesen, Elizabeth A.
Bryant, Jessica A.
Duhamel, Solange
Karl, David M.
Cordero, Otto X.
Repeta, Daniel J.
DeLong, Edward F.
TI Distinct dissolved organic matter sources induce rapid transcriptional
responses in coexisting populations of Prochlorococcus, Pelagibacter and
the OM60 clade
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB A considerable fraction of the Earth's organic carbon exists in dissolved form in seawater. To investigate the roles of planktonic marine microbes in the biogeochemical cycling of this dissolved organic matter (DOM), we performed controlled seawater incubation experiments and followed the responses of an oligotrophic surface water microbial assemblage to perturbations with DOM derived from an axenic culture of Prochlorococcus, or high-molecular weight DOM concentrated from nearby surface waters. The rapid transcriptional responses of both Prochlorococcus and Pelagibacter populations suggested the utilization of organic nitrogen compounds common to both DOM treatments. Along with these responses, both populations demonstrated decreases in gene transcripts associated with nitrogen stress, including those involved in ammonium acquisition. In contrast, responses from low abundance organisms of the NOR5/OM60 gammaproteobacteria were observed later in the experiment, and included elevated levels of gene transcripts associated with polysaccharide uptake and oxidation. In total, these results suggest that numerically dominant oligotrophic microbes rapidly acquire nitrogen from commonly available organic sources, and also point to an important role for carbohydrates found within the DOM pool for sustaining the less abundant microorganisms in these oligotrophic systems.
C1 [Sharma, Adrian K.; Ottesen, Elizabeth A.; Bryant, Jessica A.; Cordero, Otto X.; DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Sharma, Adrian K.; Ottesen, Elizabeth A.; Bryant, Jessica A.; Cordero, Otto X.; DeLong, Edward F.] MIT, Dept Biol Engn, Cambridge, MA 02139 USA.
[Becker, Jamie W.; Duhamel, Solange; Repeta, Daniel J.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Ottesen, Elizabeth A.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Duhamel, Solange] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
[Karl, David M.] Univ Hawaii, SOEST, Dept Oceanog, Honolulu, HI 96822 USA.
[Sharma, Adrian K.; Becker, Jamie W.; Ottesen, Elizabeth A.; Bryant, Jessica A.; Duhamel, Solange; Karl, David M.; Repeta, Daniel J.; DeLong, Edward F.] C MORE, Honolulu, HI 96822 USA.
RP DeLong, EF (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM delong@mit.edu
CR Aluwihare LI, 2005, SCIENCE, V308, P1007, DOI 10.1126/science.1108925
Aluwihare LI, 1997, NATURE, V387, P166, DOI 10.1038/387166a0
Aluwihare LI, 1999, MAR ECOL PROG SER, V186, P105, DOI 10.3354/meps186105
[Anonymous], DISSOLVED ORGANIC MA
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Barra L, 2006, J BACTERIOL, V188, P7195, DOI 10.1128/JB.00208-06
Baumann MJ, 2007, PLANT CELL, V19, P1947, DOI 10.1105/tpc.107.051391
Bertilsson S, 2005, VIE MILIEU, V55, P225
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Muñoz-Marín MD, 2013, P NATL ACAD SCI USA, V110, P8597, DOI 10.1073/pnas.1221775110
del Giorgio PA, 2002, NATURE, V420, P379, DOI 10.1038/nature01165
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
FLARDH K, 1992, J BACTERIOL, V174, P6780, DOI 10.1128/JB.174.21.6780-6788.1992
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gomez-Alvarez V, 2009, ISME J, V3, P1314, DOI 10.1038/ismej.2009.72
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Hardcastle TJ, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-422
Hehemann JH, 2010, NATURE, V464, P908, DOI 10.1038/nature08937
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karl DM, 2012, P NATL ACAD SCI USA, V109, P1842, DOI 10.1073/pnas.1120312109
Karl DM, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P705, DOI 10.1016/B978-0-12-372522-6.00016-5
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Kleber HP, 1997, FEMS MICROBIOL LETT, V147, P1
Kujawinski EB, 2009, GEOCHIM COSMOCHIM AC, V73, P4384, DOI 10.1016/j.gca.2009.04.033
Landa M, 2013, AQUAT MICROB ECOL, V69, P157, DOI 10.3354/ame01632
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Martínez A, 2012, ENVIRON MICROBIOL, V14, P1363, DOI 10.1111/j.1462-2920.2011.02612.x
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Mary I, 2008, ENVIRON MICROBIOL, V10, P2124, DOI 10.1111/j.1462-2920.2008.01633.x
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Michel G, 2001, STRUCTURE, V9, P513, DOI 10.1016/S0969-2126(01)00612-8
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Mopper K, 2007, CHEM REV, V107, P419, DOI 10.1021/cr050359b
Muro-Pastor MI, 2005, PHOTOSYNTH RES, V83, P135, DOI 10.1007/s11120-004-2082-7
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
NISSEN H, 1987, FEMS MICROBIOL ECOL, V45, P173, DOI 10.1111/j.1574-6968.1987.tb02353.x
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Romera-Castillo C, 2011, APPL ENVIRON MICROB, V77, P7490, DOI 10.1128/AEM.00200-11
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Srinivasan S, 1998, J BIOSCIENCE, V23, P501, DOI 10.1007/BF02936144
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tolonen AC, 2006, MOL SYST BIOL, V2, DOI 10.1038/msb4100087
Warnes G. R., 2009, GPLOTS VARIOUS R PRO
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 62
TC 41
Z9 45
PD SEP
PY 2014
VL 16
IS 9
SI SI
BP 2815
EP 2830
DI 10.1111/1462-2920.12254
UT WOS:000341579700016
DA 2025-07-30
ER
PT J
AU Beier, S
Gálvez, MJ
Molina, V
Sarthou, G
Quéroué, F
Blain, S
Obernosterer, I
AF Beier, Sara
Galvez, Maria J.
Molina, Veronica
Sarthou, Geraldine
Queroue, Fabien
Blain, Stephane
Obernosterer, Ingrid
TI The transcriptional regulation of the glyoxylate cycle in SAR11 in
response to iron fertilization in the Southern Ocean
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB The tricarboxylic acid (TCA) cycle is a central metabolic pathway that is present in all aerobic organisms and initiates the respiration of organic material. The glyoxylate cycle is a variation of the TCA cycle, where organic material is recycled for subsequent assimilation into cell material instead of being released as carbon dioxide. Despite the importance for the fate of organic matter, the environmental factors that induce the glyoxylate cycle in microbial communities remain poorly understood. In this study, we assessed the expression of isocitrate lyase, the enzyme that induces the switch to the glyoxylate cycle, of the ubiquitous SAR11 clade in response to natural iron fertilization in the Southern Ocean. The cell-specific transcriptional regulation of the glyoxylate cycle, as determined by the ratio between copy numbers of isocitrate lyase gene transcripts and isocitrate genes, was consistently lower in iron fertilized than in high-nutrient, low chlorophyll waters (by 2.4- to 16.5-fold). SAR11 cell-specific isocitrate lyase gene transcription was negatively correlated to chlorophyll a, and bulk bacterial heterotrophic metabolism. We conclude that the glyoxylate cycle is a metabolic strategy for SAR11 that is highly sensitive to the degree of iron and carbon limitation in the marine environment.
C1 [Beier, Sara; Galvez, Maria J.; Blain, Stephane; Obernosterer, Ingrid] Univ Paris 06, Sorbonne Univ, CNRS, Lab Oceanog Microbienne LOMIC,Observ Oceanol, F-66650 Banyuls Sur Mer, France.
[Galvez, Maria J.] Univ Concepcion, Dept Oceanog, Grad Program Oceanog, Concepcion, Chile.
[Molina, Veronica] Univ Playa Ancha, Fac Ciencias Nat & Exactas, Dept Biol, Valparaiso, Chile.
[Sarthou, Geraldine; Queroue, Fabien] LEMAR UMR CNRS UBO IRD 6539, F-29280 Plouzane, France.
[Queroue, Fabien] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7001, Australia.
[Queroue, Fabien] Univ Tasmania, Antarctic Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas 7001, Australia.
RP Beier, S (corresponding author), Leibniz Inst Balt Sea Res, Seestr 15, D-18119 Rostock, Germany.
EM sara.beier@io-warnemuende.de
CR BENNER R, 1993, MAR CHEM, V41, P153, DOI 10.1016/0304-4203(93)90113-3
Berg J.M., 2008, BIOCH LOOSE LEAF
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Boyd P, 2004, SCIENCE, V304, P396, DOI 10.1126/science.1092677
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Chessel D., 2004, R News, V4, P5
Christaki U., 2014, BIOGEOSCIENCES DISCU, V11, P6985, DOI [10.5194/bgd-11-6985-2014, DOI 10.5194/BGD-11-6985-2014]
Fourquez M, 2014, LIMNOL OCEANOGR, V59, P349, DOI 10.4319/lo.2014.59.2.0349
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hedges JI, 2002, MAR CHEM, V78, P47, DOI 10.1016/S0304-4203(02)00009-9
Kretzschmar U, 2008, ARCH MICROBIOL, V190, P151, DOI 10.1007/s00203-008-0381-7
Landa M., 2013, THESIS U PIERRE MARI
LAPORTE DC, 1989, BIOCHIMIE, V71, P1051, DOI 10.1016/0300-9084(89)90110-7
Lasbleiz M., 2014, BIOGEOSCIENCES DISCU, V11, P8259, DOI [10.5194/bgd-11-8259-2014, DOI 10.5194/BGD-11-8259-2014]
Lommer M, 2012, GENOME BIOL, V13, DOI 10.1186/gb-2012-13-7-r66
Morel FMM, 2003, SCIENCE, V300, P944, DOI 10.1126/science.1083545
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Obernosterer I., 2014, BIOGEOSCIENCES DISCU, V11, P15733, DOI [10.5194/bgd-11-15733-2014, DOI 10.5194/BGD-11-15733-2014]
Obernosterer I, 2008, DEEP-SEA RES PT II, V55, P777, DOI 10.1016/j.dsr2.2007.12.005
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Park YH, 2014, J GEOPHYS RES-OCEANS, V119, P6575, DOI 10.1002/2014JC010061
Queroue F., 2015, BIOGEOSCIENCES DISCU, V12, P231, DOI [DOI 10.5194/BGD-12-231-2015, 10.5194/bgd-12-231-2015]
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Rivers AR, 2013, ISME J, V7, P2315, DOI 10.1038/ismej.2013.129
Sarthou G, 2003, DEEP-SEA RES PT I, V50, P1339, DOI 10.1016/S0967-0637(03)00126-2
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Smith DP, 2011, THESIS OREGON STATE
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Tortell PD, 1996, NATURE, V383, P330, DOI 10.1038/383330a0
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Vrede T, 2006, ECOSYSTEMS, V9, P1094, DOI 10.1007/s10021-006-0167-1
White D., 2007, PHYSL BIOCH PROKARYO
Wold H, 1966, Multivariate Analysis, P391
Zubkov MV, 2007, DEEP-SEA RES PT II, V54, P2126, DOI 10.1016/j.dsr2.2007.06.020
NR 39
TC 17
Z9 18
PD JUN
PY 2015
VL 7
IS 3
BP 427
EP 434
DI 10.1111/1758-2229.12267
UT WOS:000354375100007
DA 2025-07-30
ER
PT J
AU Oh, HM
Kang, I
Lee, K
Jang, Y
Lim, SI
Cho, JC
AF Oh, Hyun-Myung
Kang, Ilnam
Lee, Kiyoung
Jang, Yoonra
Lim, Seung-Il
Cho, Jang-Cheon
TI Complete Genome Sequence of Strain IMCC9063, Belonging to SAR11 Subgroup
3, Isolated from the Arctic Ocean
SO JOURNAL OF BACTERIOLOGY
DT Article
AB Strain IMCC9063 is a novel isolate of the SAR11 clade and is distantly related to other cultured representatives in this clade. The strain was isolated off the coast of Svalbard, Norway, by applying high-throughput culturing methods based on dilution to extinction. Here we present the finished genome sequence of strain IMCC9063.
C1 [Oh, Hyun-Myung; Kang, Ilnam; Lee, Kiyoung; Jang, Yoonra; Lim, Seung-Il; Cho, Jang-Cheon] Inha Univ, Div Biol & Ocean Sci, Inchon 402751, South Korea.
RP Cho, JC (corresponding author), Inha Univ, Div Biol & Ocean Sci, Inchon 402751, South Korea.
EM chojc@inha.ac.kr
CR Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Oh HM, 2009, J BACTERIOL, V191, P7144, DOI 10.1128/JB.01191-09
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Zeng YX, 2009, POLAR BIOL, V32, P1447, DOI 10.1007/s00300-009-0641-2
NR 11
TC 25
Z9 28
PD JUL
PY 2011
VL 193
IS 13
BP 3379
EP 3380
DI 10.1128/JB.05033-11
UT WOS:000291592600023
DA 2025-07-30
ER
PT J
AU Morris, RM
Frazar, CD
Carlson, CA
AF Morris, Robert M.
Frazar, Christian D.
Carlson, Craig A.
TI Basin-scale patterns in the abundance of SAR11 subclades, marine
Actinobacteria (OM1), members of the Roseobacter clade and OCS116 in the
South Atlantic
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Bacterioplankton are major biogeochemical agents responsible for mediating the flux of dissolved organic matter (DOM) and subsequent cycling of nutrients in the oceans. Most information about the composition of bacterioplankton communities has come from studies along well-defined biogeochemical gradients in the northern hemisphere. This study extends observations of spatial and temporal dynamics for SAR11, Actinobacteria and OCS116 in the North Atlantic by demonstrating distinct spatial variability in the abundance and distribution of these and other lineages across the South Atlantic gyre and in the Benguela upwelling system. We identified shifts in SAR11, Actinobacteria, OCS116, SAR86, SAR116 and members of the Roseobacter clade along basin-scale gradients in nutrients, chlorophyll and dissolved organic carbon (DOC). Distinct SAR11 subclades dominated the western and eastern regions of the gyre, and Actinobacteria, OCS116 and members of the Roseobacter lineages were most abundant at the deep chlorophyll maxima. SAR86 and SAR116 accounted for a significant fraction of coastal and open ocean communities, respectively, and members of the gamma sulfur oxidizer (GSO) clade persisted in the Benguela upwelling system. These data suggest that distinct communities are partitioned along basin-scale biogeochemical gradients, that SAR11 community structure varies across the gyre and that Actinobacteria, OCS116, and members of the Roseobacter clade are closely associated with phytoplankton in the gyre.
C1 [Morris, Robert M.; Frazar, Christian D.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
[Carlson, Craig A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
RP Morris, RM (corresponding author), Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
EM morrisrm@uw.edu
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
CAMPBELL L, 1994, LIMNOL OCEANOGR, V39, P954, DOI 10.4319/lo.1994.39.4.0954
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Jensen PR, 2008, ANTON LEEUW INT J G, V94, P51, DOI 10.1007/s10482-008-9239-x
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mather RL, 2008, NAT GEOSCI, V1, P439, DOI 10.1038/ngeo232
McCune B., 2002, Analysis of Ecological Communities
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schlitzer R, 2002, COMPUT GEOSCI-UK, V28, P1211, DOI 10.1016/S0098-3004(02)00040-7
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
NR 43
TC 70
Z9 78
PD MAY
PY 2012
VL 14
IS 5
BP 1133
EP 1144
DI 10.1111/j.1462-2920.2011.02694.x
UT WOS:000302934000003
DA 2025-07-30
ER
PT J
AU Thiele, S
Basse, A
Becker, JW
Lipski, A
Iversen, MH
Mollenhauer, G
AF Thiele, Stefan
Basse, Andreas
Becker, Jamie W.
Lipski, Andre
Iversen, Morten H.
Mollenhauer, Gesine
TI Microbial communities in the nepheloid layers and hypoxic zones of the
Canary Current upwelling system
SO MICROBIOLOGYOPEN
DT Article
AB Eastern boundary upwelling systems (EBUSs) are among the most productive marine environments in the world. The Canary Current upwelling system off the coast of Mauritania and Morocco is the second most productive of the four EBUS, where nutrient-rich waters fuel perennial phytoplankton blooms, evident by high chlorophyll a concentrations off Cape Blanc, Mauritania. High primary production leads to eutrophic waters in the surface layers, whereas sinking phytoplankton debris and horizontally dispersed particles form nepheloid layers (NLs) and hypoxic waters at depth. We used Catalyzed Reporter Deposition Fluorescence In Situ Hybridization (CARD-FISH) in combination with fatty acid (measured as methyl ester; FAME) profiles to investigate the bacterial and archaeal community composition along transects from neritic to pelagic waters within the "giant Cape Blanc filament" in two consecutive years (2010 and 2011), and to evaluate the usage of FAME data for microbial community studies. We also report the first fatty acid profile of Pelagibacterales strain HTCC7211 which was used as a reference profile for the SAR11 clade. Unexpectedly, the reference profile contained low concentrations of long chain fatty acids 18:1 cis11, 18:1 cis11 11methyl, and 19:0 cyclo11-12 fatty acids, the main compounds in other Alphaproteobacteria. Members of the free-living SAR11 clade were found at increased relative abundance in the hypoxic waters in both years. In contrast, the depth profiles of Gammaproteobacteria (including Alteromonas and Pseudoalteromonas), Bacteroidetes, Roseobacter, and Synechococcus showed high abundances of these groups in layers where particle abundance was high, suggesting that particle attachment or association is an important mechanisms of dispersal for these groups. Collectively, our results highlight the influence of NLs, horizontal particle transport, and low oxygen on the structure and dispersal of microbial communities in upwelling systems.
C1 [Thiele, Stefan] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Basse, Andreas; Iversen, Morten H.; Mollenhauer, Gesine] Alfred Wegener Inst Polar & Marine Res, Handelshafen 12, D-27570 Bremerhaven, Germany.
[Becker, Jamie W.] Haverford Coll, Dept Biol, Haverford, PA 19041 USA.
[Lipski, Andre] Rheinische Friedrich Wilhelms Univ Bonn, Dept Food Microbiol & Hyg, Bonn, Germany.
[Basse, Andreas; Iversen, Morten H.; Mollenhauer, Gesine] MARUM, Bremen, Germany.
[Basse, Andreas; Iversen, Morten H.; Mollenhauer, Gesine] Univ Bremen, Bremen, Germany.
[Thiele, Stefan] Friedrich Schiller Univ, Jena, Germany.
RP Mollenhauer, G (corresponding author), Alfred Wegener Inst Polar & Marine Res, Handelshafen 12, D-27570 Bremerhaven, Germany.
EM Gesine.Mollenhauer@awi.de
CR Abraham WR, 1999, INT J SYST BACTERIOL, V49, P1053, DOI 10.1099/00207713-49-3-1053
Alain K, 2010, INT J SYST EVOL MICR, V60, P2972, DOI 10.1099/ijs.0.018804-0
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Alonso-Sáez L, 2012, LIMNOL OCEANOGR, V57, P798, DOI 10.4319/lo.2012.57.3.0798
Arístegui J, 2004, PROG OCEANOGR, V62, P95, DOI 10.1016/j.pocean.2004.07.004
Arístegui J, 2009, PROG OCEANOGR, V83, P33, DOI 10.1016/j.pocean.2009.07.031
Baltar F, 2012, APPL ENVIRON MICROB, V78, P3309, DOI 10.1128/AEM.07962-11
Basse A, 2014, ORG GEOCHEM, V72, P1, DOI 10.1016/j.orggeochem.2014.04.007
Behrenfeld MJ, 1997, LIMNOL OCEANOGR, V42, P1, DOI 10.4319/lo.1997.42.1.0001
Beman JM, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3705
Bennke CM, 2016, APPL ENVIRON MICROB, V82, P3289, DOI 10.1128/AEM.03931-15
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Bizic-Ionescu M, 2015, ENVIRON MICROBIOL, V17, P3500, DOI 10.1111/1462-2920.12466
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carr ME, 2006, DEEP-SEA RES PT II, V53, P741, DOI 10.1016/j.dsr2.2006.01.028
Carr ME, 2003, DEEP-SEA RES PT II, V50, P3199, DOI 10.1016/j.dsr2.2003.07.015
Carr ME, 2001, DEEP-SEA RES PT II, V49, P59
Caudales R, 2000, INT J SYST EVOL MICR, V50, P1029, DOI 10.1099/00207713-50-3-1029
Chen MH, 2012, INT J SYST EVOL MICR, V62, P1259, DOI 10.1099/ijs.0.032961-0
Cho JC, 2006, INT J SYST EVOL MICR, V56, P855, DOI 10.1099/ijs.0.64063-0
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Fischer G, 2009, PROG OCEANOGR, V83, P322, DOI 10.1016/j.pocean.2009.07.023
Fischer G, 2009, BIOGEOSCIENCES, V6, P85, DOI 10.5194/bg-6-85-2009
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Gattuso JP, 1998, ANNU REV ECOL SYST, V29, P405, DOI 10.1146/annurev.ecolsys.29.1.405
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Gosink JJ, 1997, SYST APPL MICROBIOL, V20, P356, DOI 10.1016/S0723-2020(97)80003-3
Ingalls AE, 2012, APPL ENVIRON MICROB, V78, P1480, DOI 10.1128/AEM.07016-11
Iversen MH, 2010, DEEP-SEA RES PT I, V57, P771, DOI 10.1016/j.dsr.2010.03.007
Jin L, 2014, INT J SYST EVOL MICR, V64, P762, DOI 10.1099/ijs.0.057240-0
Karakas G, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC003296
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Karstensen J, 2008, PROG OCEANOGR, V77, P331, DOI 10.1016/j.pocean.2007.05.009
Keller M.D., 1989, Novel phytoplankton blooms, P101
KENYON CN, 1972, J BACTERIOL, V109, P827, DOI 10.1128/JB.109.2.827-834.1972
Kwon YM, 2018, INT J SYST EVOL MICR, V68, P764, DOI 10.1099/ijsem.0.002581
Labrenz M, 1999, INT J SYST BACTERIOL, V49, P137, DOI 10.1099/00207713-49-1-137
Lachkar Z., 2011, BIOGEOSCIENCES DISCU, V8, P9901, DOI DOI 10.5194/BGD-8-9901-2011
Lathuilière C, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004433
Lin YF, 2014, ANTON LEEUW INT J G, V106, P507, DOI 10.1007/s10482-014-0219-z
Lipski A, 1997, SYST APPL MICROBIOL, V20, P448, DOI 10.1016/S0723-2020(97)80014-8
Lüke C, 2016, PEERJ, V4, DOI 10.7717/peerj.1924
Martens T, 2006, INT J SYST EVOL MICR, V56, P1293, DOI 10.1099/ijs.0.63724-0
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Müller PJ, 2001, DEEP-SEA RES PT I, V48, P1877, DOI 10.1016/S0967-0637(00)00109-6
R Core Team, 2014, LANG ENV STAT COMP
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Saito MA, 2002, LIMNOL OCEANOGR, V47, P1629, DOI 10.4319/lo.2002.47.6.1629
Sasser M., 1990, IDENTIFICATION BACTE 101 MIDI
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Sison-Mangus MP, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01433
Stemmann L, 2004, DEEP-SEA RES PT I, V51, P885, DOI 10.1016/j.dsr.2004.03.002
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun LN, 2015, INT J SYST EVOL MICR, V65, P4374, DOI 10.1099/ijsem.0.000585
Teeling H., 2016, C M, V5, pe1188, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thiele S, 2011, TREATISE ON WATER SCIENCE, VOL 3: AQUATIC CHEMISTRY AND BIOLOGY, P171
Thiele S, 2015, APPL ENVIRON MICROB, V81, P1463, DOI 10.1128/AEM.02570-14
Thiele S, 2012, APPL ENVIRON MICROB, V78, P8803, DOI 10.1128/AEM.01814-12
Thongphrom C, 2016, INT J SYST EVOL MICR, V66, P4826, DOI 10.1099/ijsem.0.001436
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
VANCAMP L, 1991, PROG OCEANOGR, V26, P357, DOI 10.1016/0079-6611(91)90012-B
Vaqué D, 2014, J PLANKTON RES, V36, P198, DOI 10.1093/plankt/fbt085
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Wood B.J.B., 1988, MICROBIAL LIPIDS, V1, P807
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Zhang XY, 2013, INT J SYST EVOL MICR, V63, P2248, DOI 10.1099/ijs.0.046656-0
Zubkov MV, 2005, AQUAT MICROB ECOL, V40, P241, DOI 10.3354/ame040241
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 79
TC 9
Z9 9
PD MAY
PY 2019
VL 8
IS 5
AR e705
DI 10.1002/mbo3.705
UT WOS:000468628800001
DA 2025-07-30
ER
PT J
AU Ameryk, A
Kownacka, J
Zalewski, M
Piwosz, K
AF Ameryk, Anetta
Kownacka, Janina
Zalewski, Mariusz
Piwosz, Kasia
TI Typical freshwater and marine bacterial lineages dynamics at salinity
between 0 and 4 in the Vistula Lagoon
SO ESTUARINE COASTAL AND SHELF SCIENCE
DT Article
AB The Vistula Lagoon is an almost closed basin at the southern coast of the Baltic Sea. Its mild salinity gradient provides a unique environment for the coexistence of freshwater and marine bacteria. This study employs catalysed reporter deposition-fluorescence in situ hybridisation (CARD-FISH) to investigate seasonal dynamics of marine (SAR11 clade I/II) and freshwater (SAR11 clade IIIb (LD12), Limnohabitans clades B, C, D, Burkholderiales (former Betaproteobacteria)) bacterial groups. Samples were collected from below the ice in February, and then monthly from April to October 2011 from three stations with different salinity. The abundance of SAR11 clade I/II strongly positively correlated with salinity, with the highest abundance in autumn at time of inflows of saline waters from the Baltic Sea. Two groups (spring-summer and autumn-winter) were distinguished within this clade, based on a scatter chart between SAR11-I/II abundance and salinity. Salinity explained 69% of the variability of the spring-summer group and 77% of the autumn-winter group. This suggests that the presence of marine SAR11-I/II in the Vistula Lagoon was caused by passive inflow with waters from the open Baltic Sea, and this environment is not suitable for its regular existence. The abundance of the freshwater SAR11 clade IIIb was similar to that of SAR11-I/II. However, it depended on temperature, organic and inorganic phosphorous, and not on salinity, suggesting that SAR11-IIIb found a regular niche in the eutrophic Vistula Lagoon. Burkholderiales positively correlated with temperature, chlorophyll-a, organic and inorganic phosphorous, and heterotrophic nanoflagellates, suggesting that their role in the Vistula Lagoon may be similar to that in lakes. Interestingly, Burkholderiales had the highest relative abundance under ice in February. Finally, the abundance of Limnohabitans clades B, C, D positively depended on temperature, chlorophyll-a and negatively on salinity. This together with positive correlation with Cryptophytes and with heterotrophic nanoflagellates emphasis its importance in this ecosystem. These results show that the conditions in the Vistula Lagoon are rather inappropriate for typical marine bacteria, while freshwater bacteria may find their niches despite slightly elevated salinity.
C1 [Ameryk, Anetta; Kownacka, Janina; Zalewski, Mariusz; Piwosz, Kasia] Natl Marine Fisheries Res Inst, Kollataja 1, PL-81332 Gdynia, Poland.
[Piwosz, Kasia] CAS Ctr Algatech, Inst Microbiol, Novohradska 237 Opatov Mlyn, Trebon 37981, Czech Republic.
RP Ameryk, A (corresponding author), Natl Marine Fisheries Res Inst, Kollataja 1, PL-81332 Gdynia, Poland.
EM aameryk@mir.gdynia.pl; jkownacka@mir.gdynia.pl; mzalewski@mir.gdynia.pl;
kpiwosz@mir.gdynia.pl
CR Alneberg J, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.146
Alonso-Sáez L, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00425
Ameryk A, 2005, OCEANOLOGIA, V47, P27
Ameryk A, 2014, OCEANOLOGIA, V56, P825, DOI 10.5697/oc.56-4.825
[Anonymous], 1993, Handbook of Methods in Aquatic Microbial Ecology. Eds
[Anonymous], 1987, BIOMASS SCI SERIES
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buck U, 2009, ENVIRON MICROBIOL, V11, P1854, DOI 10.1111/j.1462-2920.2009.01910.x
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Crump BC, 2005, LIMNOL OCEANOGR, V50, P1718, DOI 10.4319/lo.2005.50.6.1718
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Eckert EM, 2012, ENVIRON MICROBIOL, V14, P794, DOI 10.1111/j.1462-2920.2011.02639.x
Eiler A, 2004, ENVIRON MICROBIOL, V6, P1228, DOI 10.1111/j.1462-2920.2004.00657.x
Gasiunaite Z.R., 1998, HYDROBIOLOGIA, V363, P333, DOI 10.1023.A:1003161319026
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Golebiewski M, 2017, ENV MICROBIOL REP, V9, P129, DOI 10.1111/1758-2229.12509
Grasshoff K., 1983, METHODS SEA WATER AN, P127
Grujcic V, 2018, ISME J, V12, P1668, DOI 10.1038/s41396-018-0057-5
Grujcic V, 2015, APPL ENVIRON MICROB, V81, P4993, DOI 10.1128/AEM.00396-15
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P2946, DOI 10.1099/ijs.0.022384-0
HEINANEN AP, 1991, MAR ECOL PROG SER, V70, P283, DOI 10.3354/meps070283
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Holmfeldt K, 2009, ENVIRON MICROBIOL, V11, P2042, DOI 10.1111/j.1462-2920.2009.01925.x
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Jezberová J, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.01530-17
Kasalicky V, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02116-17
Kasalicky V, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058209
Kornijów R, 2018, OCEANOLOGIA, V60, P390, DOI 10.1016/j.oceano.2018.02.004
Kulinski K, 2008, ESTUAR COAST SHELF S, V78, P38, DOI 10.1016/j.ecss.2007.11.017
Lindh MV, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.02078
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Naumenko E.N., 1995, C M DOC COP, P16
Nawrocka L., 2011, ZALEW WISLANY SRODOW, P51
Nawrocka L, 2011, OCEANOLOGIA, V53, P881, DOI 10.5697/oc.53-3.881
Paver SF, 2013, ENVIRON MICROBIOL, V15, P2489, DOI 10.1111/1462-2920.12131
Perez MT, 2006, LIMNOL OCEANOGR, V51, P2527, DOI 10.4319/lo.2006.51.6.2527
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Piccini C, 2006, APPL ENVIRON MICROB, V72, P6560, DOI 10.1128/AEM.01089-06
Piwosz K, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00052-20
Piwosz K, 2016, J PHYCOL, V52, P626, DOI 10.1111/jpy.12424
Piwosz K, 2015, ENVIRON MICROBIOL, V17, P2393, DOI 10.1111/1462-2920.12705
Piwosz K, 2013, LIMNOL OCEANOGR, V58, P817, DOI 10.4319/lo.2013.58.3.0817
Riemann L, 2008, APPL ENVIRON MICROB, V74, P503, DOI 10.1128/AEM.01983-07
Rychter A., 2011, VISTULA LAGOON NATUR, P67
Salcher MM, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiv156
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schernewski G, 2012, J COAST CONSERV, V16, P473, DOI 10.1007/s11852-012-0202-7
Shabarova T, 2017, ENVIRON MICROBIOL, V19, P1296, DOI 10.1111/1462-2920.13663
Shaw AK, 2008, ENVIRON MICROBIOL, V10, P2200, DOI 10.1111/j.1462-2920.2008.01626.x
Shen DD, 2018, ENVIRON MICROBIOL, V20, P1170, DOI 10.1111/1462-2920.14059
Sherr B, 2001, METHOD MICROBIOL, V30, P129, DOI 10.1016/S0580-9517(01)30043-0
SHERR BF, 1989, MAR ECOL PROG SER, V54, P209, DOI 10.3354/meps054209
Simek K, 2001, APPL ENVIRON MICROB, V67, P2723, DOI 10.1128/AEM.67.6.2723-2733.2001
Simek K, 2011, APPL ENVIRON MICROB, V77, P7307, DOI 10.1128/AEM.05107-11
Simek K, 2010, APPL ENVIRON MICROB, V76, P631, DOI 10.1128/AEM.02203-09
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Stanisz A, 2000, PRZYSTEPNY KURS STAT, VII, P408
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Wielgat-Rychert M, 2013, OCEANOLOGIA, V55, P859, DOI 10.5697/oc.55-4.859
Witek Z, 2003, ESTUAR COAST SHELF S, V57, P239, DOI 10.1016/S0272-7714(02)00348-7
Witek Z., 2010, NUTRIENT STOCKS FLUX, P186
NR 67
TC 6
Z9 6
PD MAR 5
PY 2021
VL 250
AR 107100
DI 10.1016/j.ecss.2020.107100
UT WOS:000620821100004
DA 2025-07-30
ER
PT J
AU Bruewer, JD
Orellana, LH
Sidhu, C
Klip, HCL
Meunier, CL
Boersma, M
Wiltshire, KH
Amann, R
Fuchs, BM
AF Bruewer, Jan D.
Orellana, Luis H.
Sidhu, Chandni
Klip, Helena C. L.
Meunier, Cedric L.
Boersma, Maarten
Wiltshire, Karen H.
Amann, Rudolf
Fuchs, Bernhard M.
TI In situ cell division and mortality rates of SAR11, SAR86,
Bacteroidetes, and Aurantivirga during phytoplankton
blooms reveal differences in population controls
SO MSYSTEMS
DT Article
AB Net growth of microbial populations, that is, changes in abundances over time, can be studied using 16S rRNA fluorescence in situ hybridization (FISH). However, this approach does not differentiate between mortality and cell division rates. We used FISH-based image cytometry in combination with dilution culture experiments to study net growth, cell division, and mortality rates of four bacterial taxa over two distinct phytoplankton blooms: the oligotrophs SAR11 and SAR86, and the copiotrophic phylum Bacteroidetes, and its genus Aurantivirga. Cell volumes, ribosome content, and frequency of dividing cells (FDC) co-varied over time. Among the three, FDC was the most suitable predictor to calculate cell division rates for the selected taxa. The FDC-derived cell division rates for SAR86 of up to 0.8/day and Aurantivirga of up to 1.9/day differed, as expected for oligotrophs and copiotrophs. Surprisingly, SAR11 also reached high cell division rates of up to 1.9/day, even before the onset of phytoplankton blooms. For all four taxonomic groups, the abundance-derived net growth (-0.6 to 0.5/day) was about an order of magnitude lower than the cell division rates. Consequently, mortality rates were comparably high to cell division rates, indicating that about 90% of bacterial production is recycled without apparent time lag within 1 day. Our study shows that determining taxon-specific cell division rates complements omics-based tools and provides unprecedented clues on individual bacterial growth strategies including bottom-up and top-down controls.
IMPORTANCE The growth of a microbial population is often calculated from their numerical abundance over time. However, this does not take cell division and mortality rates into account, which are important for deriving ecological processes like bottom-up and top-down control. In this study, we determined growth by numerical abundance and calibrated microscopy-based methods to determine the frequency of dividing cells and subsequently calculate taxon-specific cell division rates in situ. The cell division and mortality rates of two oligotrophic (SAR11 and SAR86) and two copiotrophic (Bacteroidetes and Aurantivirga) taxa during two spring phytoplankton blooms showed a tight coupling for all four taxa throughout the blooms without any temporal offset. Unexpectedly, SAR11 showed high cell division rates days before the bloom while cell abundances remained constant, which is indicative of strong top-down control. Microscopy remains the method of choice to understand ecological processes like top-down and bottom-up control on a cellular level.
C1 [Bruewer, Jan D.; Orellana, Luis H.; Sidhu, Chandni; Amann, Rudolf; Fuchs, Bernhard M.] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Klip, Helena C. L.; Meunier, Cedric L.; Boersma, Maarten; Wiltshire, Karen H.] Alfred Wegener Inst, Biol Anstalt Helgoland, Helmholtz Zentrum Polar & Meeresforsch, Helgoland, Germany.
[Boersma, Maarten] Univ Bremen, Bremen, Germany.
[Wiltshire, Karen H.] Alfred Wegener Inst, Helmholtz Zentrum Polar & Meeresforsch, Wattenmeerstn, Bremerhaven, Germany.
RP Fuchs, BM (corresponding author), Max Planck Inst Marine Microbiol, Bremen, Germany.
EM bfuchs@mpi-bremen.de
CR Aboyoun H., 2020, Biostrings: efficient manipulation of biological strings
AFFRONTI LF, 1994, HYDROBIOLOGIA, V284, P193, DOI 10.1007/BF00006689
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Arandia-Gorostidi N, 2017, ENVIRON MICROBIOL, V19, P4493, DOI 10.1111/1462-2920.13898
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Ben Francis T, 2021, ISME J, V15, P2336, DOI 10.1038/s41396-021-00928-8
Bennke CM, 2016, APPL ENVIRON MICROB, V82, P3289, DOI 10.1128/AEM.03931-15
BLOEM J, 1995, APPL ENVIRON MICROB, V61, P926, DOI 10.1128/AEM.61.3.926-936.1995
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Bushnell B., BBMap: A Fast, Accurate, Splice-Aware Aligner
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Díez-Vives C, 2014, SYST APPL MICROBIOL, V37, P68, DOI 10.1016/j.syapm.2013.08.006
Ducret A, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.77, 10.1038/NMICROBIOL.2016.77]
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elser JJ, 2003, ECOL LETT, V6, P936, DOI 10.1046/j.1461-0248.2003.00518.x
Emiola A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07240-8
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fox J, 2019, An R Companion to Applied Regression, V3rd
FRY JC, 1990, METHOD MICROBIOL, V22, P41
Fuchs BM., 2007, METHODS GEN MOL MICR, P886
Gerea M, 2013, J PLANKTON RES, V35, P201, DOI 10.1093/plankt/fbs085
Giljan G, 2022, ENVIRON MICROBIOL, V24, P2333, DOI 10.1111/1462-2920.15997
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grolemond G, 2011, J STAT SOFTW, V40, P1
HAGSTROM A, 1979, APPL ENVIRON MICROB, V37, P805
Hagström Å, 2018, AQUAT MICROB ECOL, V80, P15, DOI 10.3354/ame01838
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Ho A, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix006
Kappelmann L, 2019, ISME J, V13, P76, DOI 10.1038/s41396-018-0242-6
Khachikya A, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00493-19
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
La Ferla R, 2014, HYDROBIOLOGIA, V726, P65, DOI 10.1007/s10750-013-1752-x
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
LANDRY MR, 1982, MAR BIOL, V67, P283, DOI 10.1007/BF00397668
Lenth R V, 2021, R package version 1.5.5- 1
Li JY, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00055-7
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
Long ANM, 2021, ISME J, V15, P183, DOI 10.1038/s41396-020-00773-1
López-Urrutia A, 2007, ECOLOGY, V88, P817, DOI 10.1890/06-1641
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Matsuyama Michiro, 1993, Japanese Journal of Limnology, V54, P137
Miksch S, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00028-w
Miura K, 2021, EMBO J, V40, DOI 10.15252/embj.2020105889
MOLLER S, 1995, APPL ENVIRON MICROB, V61, P741, DOI 10.1128/AEM.61.2.741-748.1995
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Nikrad MP, 2014, ENVIRON MICROBIOL, V16, P1513, DOI 10.1111/1462-2920.12258
Ocean Biology Processing Group, 2022, MOD RES IM SPECTR MO, DOI [10.5067/AQUA/MODIS/L3M/PAR/2022, DOI 10.5067/AQUA/MODIS/L3M/PAR/2022]
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
POULSEN LK, 1993, APPL ENVIRON MICROB, V59, P1354, DOI 10.1128/AEM.59.5.1354-1360.1993
R Development Core, 2013, R: A language and environment for statistical computing
Ram K., 2018, WES ANDERSON PALETTE
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
RATKOWSKY DA, 1982, J BACTERIOL, V149, P1
Sánchez O, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76590-5
Sánchez O, 2017, ENV MICROBIOL REP, V9, P300, DOI 10.1111/1758-2229.12535
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schindelin J, 2012, NAT METHODS, V9, P676, DOI [10.1038/nmeth.2019, 10.1038/NMETH.2019]
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Sidhu C, 2023, MICROBIOME, V11, DOI 10.1186/s40168-023-01517-x
Song J, 2015, INT J SYST EVOL MICR, V65, P4850, DOI 10.1099/ijsem.0.000662
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thurman J, 2010, PROTIST, V161, P577, DOI 10.1016/j.protis.2010.04.001
VAQUE D, 1994, MAR ECOL PROG SER, V109, P263, DOI 10.3354/meps109263
Vieira-Silva S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000808
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
Westoby M, 2021, ECOL EVOL, V11, P3956, DOI 10.1002/ece3.7290
WHITE PA, 1991, MICROBIAL ECOL, V21, P99, DOI 10.1007/BF02539147
Wickham H, 2011, J STAT SOFTW, V40, P1, DOI 10.18637/jss.v040.i01
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Wickham H, 2007, J STAT SOFTW, V21, P1
Wilke C. O., 2020, R PACKAGE VERSION 0
Wiltshire KH, 2008, LIMNOL OCEANOGR, V53, P1294, DOI 10.4319/lo.2008.53.4.1294
Wiltshire KH, 2004, HELGOLAND MAR RES, V58, P252, DOI 10.1007/s10152-004-0192-4
Yang L, 2008, J BACTERIOL, V190, P2767, DOI 10.1128/JB.01581-07
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Zapata M, 2000, MAR ECOL PROG SER, V195, P29, DOI 10.3354/meps195029
Zeder M, 2011, MICROSC MICROANAL, V17, P799, DOI 10.1017/S1431927611012104
Zeder M, 2011, CYTOM PART A, V79A, P306, DOI 10.1002/cyto.a.21034
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
NR 93
TC 8
Z9 8
PD JUN 29
PY 2023
VL 8
IS 3
DI 10.1128/msystems.01287-22
EA MAY 2023
UT WOS:001026306200001
DA 2025-07-30
ER
PT J
AU Long, ZD
Zhao, YZ
Xue, Y
Wang, M
Li, JG
Su, Z
Sun, JS
Liu, QB
Liu, H
Mao, DB
Wei, T
AF Long, Zhangde
Zhao, Yuzhe
Xue, Yun
Wang, Min
Li, Jigang
Su, Zan
Sun, Jiansheng
Liu, Qibin
Liu, Hong
Mao, Duobin
Wei, Tao
TI A novel thermophilic β-carotene 15,15′-monooxygenase with broad
substrate specificity from the marine bacterium Candidatus
Pelagibacter sp. HTCC7211
SO BIOTECHNOLOGY LETTERS
DT Article
AB To characterize a novel thermophilic beta-carotene 15,15 '-monooxygenase BCMO7211 isolated from the marine bacterium Candidatus Pelagibacter sp. HTCC7211. BCMO7211 was functionally overexpressed in Escherichia coli and purified to homogeneity by Ni-NTA affinity chromatography and Superdex-200 gel filtration chromatography. Labeling experiments with (H2O)-O-18 demonstrated that the oxygen atom in the terminal aldehyde group of the produced retinal molecules was provided from both molecular oxygen and water, indicating that BCMO7211 is the first characterized bacterial beta-carotene 15,15 '-monooxygenase. BCMO7211 exhibited broad carotenoid substrate specificity toward alpha-carotene, beta-cryptoxanthin, beta-carotene, zeaxanthin, and lutein. The optimum temperature, pH, and concentrations of the substrate and enzyme for retinal production were 60 degrees C, 9.0, 500 mg beta-carotene/L, and 2.5 U/ml, respectively. Under optimum conditions, 888.3 mg/L retinal was produced in 60 min with a conversion rate of 89.0% (w/w). BCMO7211 is a potential candidate for the enzymatic synthesis of retinal in biotechnological applications.
C1 [Long, Zhangde; Xue, Yun; Li, Jigang; Su, Zan; Sun, Jiansheng; Liu, Qibin; Liu, Hong] China Tobacco Guangxi Ind Co Ltd, Nanning 530001, Peoples R China.
[Long, Zhangde; Zhao, Yuzhe; Xue, Yun; Wang, Min; Mao, Duobin; Wei, Tao] Zhengzhou Univ Light Ind, Sch Food & Biol Engn, 5 Dongfeng Rd, Zhengzhou 450002, Peoples R China.
RP Wei, T (corresponding author), Zhengzhou Univ Light Ind, Sch Food & Biol Engn, 5 Dongfeng Rd, Zhengzhou 450002, Peoples R China.
EM weit8008@zzuli.edu.cn
CR Amengual J, 2013, J BIOL CHEM, V288, P34081, DOI 10.1074/jbc.M113.501049
Baliga NS, 2004, GENOME RES, V14, P2221, DOI 10.1101/gr.2700304
Bandara S, 2021, ACS CHEM BIOL, V16, P480, DOI 10.1021/acschembio.0c00832
dela Seña C, 2014, J BIOL CHEM, V289, P13661, DOI 10.1074/jbc.M114.557710
During A, 1996, ANAL BIOCHEM, V241, P199, DOI 10.1006/abio.1996.0400
Kim NH, 2008, BIOTECHNOL PROGR, V24, P227, DOI 10.1021/bp070239k
Kim YS, 2007, APPL MICROBIOL BIOT, V76, P1339, DOI 10.1007/s00253-007-1118-2
Kim YS, 2010, BIOTECHNOL LETT, V32, P957, DOI 10.1007/s10529-010-0239-3
Kim YS, 2009, J BIOL CHEM, V284, P15781, DOI 10.1074/jbc.M109.002618
Kim YS, 2009, BIOTECHNOL LETT, V31, P403, DOI 10.1007/s10529-008-9873-4
Kowatz T, 2013, ARCH BIOCHEM BIOPHYS, V539, P214, DOI 10.1016/j.abb.2013.05.007
Leuenberger MG, 2001, ANGEW CHEM INT EDIT, V40, P2614, DOI 10.1002/1521-3773(20010716)40:14<2613::AID-ANIE2613>3.0.CO;2-Z
Li XM, 2020, FOOD CHEM, V315, DOI 10.1016/j.foodchem.2020.126288
Li YP, 2016, INT J BIOL MACROMOL, V86, P96, DOI 10.1016/j.ijbiomac.2016.01.033
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
MERCIER C, 1994, PURE APPL CHEM, V66, P1509, DOI 10.1351/pac199466071509
OLSON JA, 1965, P NATL ACAD SCI USA, V54, P1364, DOI 10.1073/pnas.54.5.1364
Pfeiffer F, 2008, GENOMICS, V91, P335, DOI 10.1016/j.ygeno.2008.01.001
Poliakov E, 2020, BBA-MOL CELL BIOL L, V1865, DOI 10.1016/j.bbalip.2020.158665
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sanatan PT, 2013, BMC BIOCHEM, V14, DOI 10.1186/1471-2091-14-32
Sui XW, 2016, J BIOL CHEM, V291, P19401, DOI 10.1074/jbc.M116.744912
Wei T, 2015, BIOTECHNOL LETT, V37, P1993, DOI 10.1007/s10529-015-1872-7
Yang HX, 2019, CATALYSTS, V9, DOI 10.3390/catal9110914
NR 24
TC 1
Z9 1
PD DEC
PY 2021
VL 43
IS 12
BP 2233
EP 2241
DI 10.1007/s10529-021-03188-w
EA OCT 2021
UT WOS:000705777800001
DA 2025-07-30
ER
PT J
AU Zaragoza-Solas, A
Rodriguez-Valera, F
López-Pérez, M
AF Zaragoza-Solas, Asier
Rodriguez-Valera, Francisco
Lopez-Perez, Mario
TI Metagenome Mining Reveals Hidden Genomic Diversity of Pelagimyophages in
Aquatic Environments
SO MSYSTEMS
DT Article
AB The SAR11 Glade is one of the most abundant bacterioplankton groups in surface waters of most of the oceans and lakes. However, only 15 SAR11 phages have been isolated thus far, and only one of them belongs to the Myoviridae family (pelagimyophages). Here, we have analyzed 26 sequences of myophages that putatively infect the SAR11 Glade. They have been retrieved by mining ca. 45 Gbp aquatic assembled cellular metagenomes and viromes. Most of the myophages were obtained from the cellular fraction (0.2 mu m), indicating a bias against this type of virus in viromes. We have found the first myophages that putatively infect Candidatus Fonsibacter (freshwater SAR11) and another group putatively infecting bathypelagic SAR11 phylogroup Ic. The genomes have similar sizes and maintain overall synteny in spite of low average nucleotide identity values, revealing high similarity to marine cyanomyophages. Pelagimyophages recruited metagenomic reads widely from several locations but always much more from cellular metagenomes than from viromes, opposite to what happens with pelagipodophages. Comparing the genomes resulted in the identification of a hypervariable island that is related to host recognition. Interestingly, some genes in these islands could be related to host cell wall synthesis and coinfection avoidance. A cluster of curli-related proteins was widespread among the genomes, although its function is unclear.
IMPORTANCE SAR11 Glade members are among the most abundant bacteria on Earth. Their study is complicated by their great diversity and difficulties in being grown and manipulated in the laboratory. On the other hand, and due to their extraordinary abundance, metagenomic data sets provide enormous richness of information about these microbes. Given the major role played by phages in the lifestyle and evolution of prokaryotic cells, the contribution of several new bacteriophage genomes preying on this Glade opens windows into the infection strategies and life cycle of its viruses. Such strategies could provide models of attack of large-genome phages preying on streamlined aquatic microbes.
C1 [Zaragoza-Solas, Asier; Rodriguez-Valera, Francisco; Lopez-Perez, Mario] Univ Miguel Hernandez, Div Microbiol, Evolutionaiy Genom Grp, Alicante, Spain.
[Rodriguez-Valera, Francisco] Moscow Inst Phys & Technol, Lab Theoret & Comp Res Biol Macromol & Genomes, Dolgoprudnyi, Russia.
RP Rodriguez-Valera, F; López-Pérez, M (corresponding author), Univ Miguel Hernandez, Div Microbiol, Evolutionaiy Genom Grp, Alicante, Spain.; Rodriguez-Valera, F (corresponding author), Moscow Inst Phys & Technol, Lab Theoret & Comp Res Biol Macromol & Genomes, Dolgoprudnyi, Russia.
EM frvalera@umh.es; mario.lopezp@umh.es
CR Ackermann HW, 2003, RES MICROBIOL, V154, P245, DOI 10.1016/S0923-2508(03)00067-6
Ackermann HW, 1997, ARCH VIROL, V142, P2329, DOI 10.1007/s007050050246
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Barnhart MM, 2006, ANNU REV MICROBIOL, V60, P131, DOI 10.1146/annurev.micro.60.080805.142106
Berman HM, 2000, NUCLEIC ACIDS RES, V28, P235, DOI 10.1093/nar/28.1.235
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Boyington JC, 1997, SCIENCE, V275, P1305, DOI 10.1126/science.275.5304.1305
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Breitbart M, 2007, OCEANOGRAPHY, V20, P135, DOI 10.5670/oceanog.2007.58
Brewer TE, 2014, VIROLOGY, V450, P84, DOI 10.1016/j.virol.2013.11.027
Brister JR, 2015, NUCLEIC ACIDS RES, V43, pD571, DOI 10.1093/nar/gku1207
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cabello-Yeves PJ, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0731-5
Campbell JA, 1997, BIOCHEM J, V326, P929, DOI 10.1042/bj3260929u
Chen CR, 2007, ARCH MICROBIOL, V188, P191, DOI 10.1007/s00203-007-0238-5
Cliffe LJ, 2010, NUCLEIC ACIDS RES, V38, P3923, DOI 10.1093/nar/gkq146
Clokie MRJ, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-291
Comeau AM, 2008, MOL BIOL EVOL, V25, P1321, DOI 10.1093/molbev/msn080
Comeau AM, 2007, VIROLOGY, V362, P384, DOI 10.1016/j.virol.2006.12.031
Contreras-Moreira B, 2013, APPL ENVIRON MICROB, V79, P7696, DOI 10.1128/AEM.02411-13
Crummett LT, 2016, VIROLOGY, V499, P219, DOI 10.1016/j.virol.2016.09.016
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Diaconu M, 2005, CELL, V121, P991, DOI 10.1016/j.cell.2005.04.015
Dueholm MS, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0051274
Duhaime MB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01241
Eddy Sean R, 2009, Genome Inform, V23, P205
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eggleston EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01534
ESMON BE, 1980, J BACTERIOL, V141, P405, DOI 10.1128/JB.141.1.405-408.1980
Evans ML, 2014, BBA-MOL CELL RES, V1843, P1551, DOI 10.1016/j.bbamcr.2013.09.010
Filée J, 2005, P NATL ACAD SCI USA, V102, P12471, DOI 10.1073/pnas.0503404102
Frank JA, 2013, ISME J, V7, P1150, DOI 10.1038/ismej.2013.4
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Gao EB, 2016, GENES-BASEL, V7, DOI 10.3390/genes7100080
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grazziotin AL, 2017, NUCLEIC ACIDS RES, V45, pD491, DOI 10.1093/nar/gkw975
Habann M, 2014, MOL MICROBIOL, V92, P84, DOI 10.1111/mmi.12539
Haible D, 2006, J VIROL METHODS, V135, P9, DOI 10.1016/j.jviromet.2006.01.017
Hammer ND, 2007, P NATL ACAD SCI USA, V104, P12494, DOI 10.1073/pnas.0703310104
Hardies SC, 2013, J VIROL, V87, P9189, DOI 10.1128/JVI.01521-13
Haro-Moreno JM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02926
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Coutinho FH, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00554-19
Hinton DM, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-289
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Hurwitz BL, 2016, CURR OPIN MICROBIOL, V31, P161, DOI 10.1016/j.mib.2016.04.002
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iyer LM, 2002, GENOME BIOL, V3
Kadirvelraj R, 2008, J AM CHEM SOC, V130, P16933, DOI 10.1021/ja8039663
Kingsford CL, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-2-r22
Lairson LL, 2008, ANNU REV BIOCHEM, V77, P521, DOI 10.1146/annurev.biochem.76.061005.092322
López-Pérez M, 2019, ENVIRON MICROBIOL, V21, P1980, DOI 10.1111/1462-2920.14462
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Luef B, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7372
Mann NH, 2005, J BACTERIOL, V187, P3188, DOI 10.1128/JB.187.9.3188-3200.2005
Marchler-Bauer A, 2015, NUCLEIC ACIDS RES, V43, pD222, DOI 10.1093/nar/gku1221
Marine R, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-3
Markine-Goriaynoff N, 2004, J GEN VIROL, V85, P2741, DOI 10.1099/vir.0.80320-0
Markowitz VM, 2012, NUCLEIC ACIDS RES, V40, pD115, DOI 10.1093/nar/gkr1044
Marti R, 2013, MOL MICROBIOL, V87, P818, DOI 10.1111/mmi.12134
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Mizuno CM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00027
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Millard AD, 2009, ENVIRON MICROBIOL, V11, P2370, DOI 10.1111/j.1462-2920.2009.01966.x
Mirdita M, 2017, NUCLEIC ACIDS RES, V45, pD170, DOI 10.1093/nar/gkw1081
Mizuno CM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08672-6
Mohiuddin M, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00960
MOORE JT, 1993, J BIOL CHEM, V268, P2288
Morris JH, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-436
Mülhlenkamp M, 2015, INT J MED MICROBIOL, V305, P252, DOI 10.1016/j.ijmm.2014.12.008
Mukherjee S, 2016, BIOINFORMATICS, V32, P776, DOI 10.1093/bioinformatics/btv640
NAKAGAWA H, 1985, J VIROL, V54, P460, DOI 10.1128/JVI.54.2.460-466.1985
Nenninger AA, 2009, P NATL ACAD SCI USA, V106, P900, DOI 10.1073/pnas.0812143106
Novácek J, 2016, P NATL ACAD SCI USA, V113, P9351, DOI 10.1073/pnas.1605883113
Okazaki Y, 2019, ENVIRON MICROBIOL, V21, P4740, DOI 10.1111/1462-2920.14816
Paez-Espino D, 2019, NUCLEIC ACIDS RES, V47, pD678, DOI 10.1093/nar/gky1127
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
PETIT C, 1995, MOL MICROBIOL, V17, P611, DOI 10.1111/j.1365-2958.1995.mmi_17040611.x
Petrov VM, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-292
Philosof A, 2017, CURR BIOL, V27, P1362, DOI 10.1016/j.cub.2017.03.052
Pickard D, 2010, J BACTERIOL, V192, P5746, DOI 10.1128/JB.00659-10
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Robinson LS, 2006, MOL MICROBIOL, V59, P870, DOI 10.1111/j.1365-2958.2005.04997.x
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
ROSS P, 1990, APPL ENVIRON MICROB, V56, P2156, DOI 10.1128/AEM.56.7.2156-2163.1990
Santos JM, 1999, MOL MICROBIOL, V32, P789, DOI 10.1046/j.1365-2958.1999.01397.x
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Smith NL, 2005, P NATL ACAD SCI USA, V102, P17652, DOI 10.1073/pnas.0504782102
Solovyev V., 2011, METAGENOMICITAPP, P61, DOI DOI 10.17504/PROTOCOLS.IO.FB4BIQW
Soma A, 2003, MOL CELL, V12, P689, DOI 10.1016/S1097-2765(03)00346-0
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Steinegger M, 2019, BMC BIOINFORMATICS, V20, DOI 10.1186/s12859-019-3019-7
Sullivan MB, 2010, ENVIRON MICROBIOL, V12, P3035, DOI 10.1111/j.1462-2920.2010.02280.x
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Suzek BE, 2007, BIOINFORMATICS, V23, P1282, DOI 10.1093/bioinformatics/btm098
Tahiliani M, 2009, SCIENCE, V324, P930, DOI 10.1126/science.1170116
Taylor NMI, 2016, NATURE, V533, P346, DOI 10.1038/nature17971
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tran P, 2018, ENVIRON MICROBIOL, V20, P2568, DOI 10.1111/1462-2920.14283
Valvano MA, 2000, J BACTERIOL, V182, P488, DOI 10.1128/JB.182.2.488-497.2000
Van Gerven N, 2015, TRENDS MICROBIOL, V23, P693, DOI 10.1016/j.tim.2015.07.010
VANDUIN J, 1981, EUR J BIOCHEM, V118, P615
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Yap ML, 2016, P NATL ACAD SCI USA, V113, P2654, DOI 10.1073/pnas.1601654113
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Yu ZX, 2014, J STRUCT BIOL, V186, P451, DOI 10.1016/j.jsb.2014.01.003
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 119
TC 23
Z9 23
PD JAN-FEB
PY 2020
VL 5
IS 1
AR e00905-19
DI 10.1128/mSystems.00905-19
UT WOS:000518855000050
DA 2025-07-30
ER
PT J
AU Smith, DP
Kitner, JB
Norbeck, AD
Clauss, TR
Lipton, MS
Schwalbach, MS
Steindler, L
Nicora, CD
Smith, RD
Giovannoni, SJ
AF Smith, Daniel P.
Kitner, Joshua B.
Norbeck, Angela D.
Clauss, Therese R.
Lipton, Mary S.
Schwalbach, Michael S.
Steindler, Laura
Nicora, Carrie D.
Smith, Richard D.
Giovannoni, Stephen J.
TI Transcriptional and Translational Regulatory Responses to Iron
Limitation in the Globally Distributed Marine Bacterium
Candidatus Pelagibacter Ubique
SO PLOS ONE
DT Article
AB Iron is recognized as an important micronutrient that limits microbial plankton productivity over vast regions of the oceans. We investigated the gene expression responses of Candidatus Pelagibacter ubique cultures to iron limitation in natural seawater media supplemented with a siderophore to chelate iron. Microarray data indicated transcription of the periplasmic iron binding protein sfuC increased by 16-fold, and iron transporter subunits, iron-sulfur center assembly genes, and the putative ferroxidase rubrerythrin transcripts increased to a lesser extent. Quantitative peptide mass spectrometry revealed that sfuC protein abundance increased 27-fold, despite an average decrease of 59% across the global proteome. Thus, we propose sfuC as a marker gene for indicating iron limitation in marine metatranscriptomic and metaproteomic ecological surveys. The marked proteome reduction was not directly correlated to changes in the transcriptome, implicating post-transcriptional regulatory mechanisms as modulators of protein expression. Two RNA-binding proteins, CspE and CspL, correlated well with iron availability, suggesting that they may contribute to the observed differences between the transcriptome and proteome. We propose a model in which the RNA-binding activity of CspE and CspL selectively enables protein synthesis of the iron acquisition protein SfuC during transient growth-limiting episodes of iron scarcity.
C1 [Smith, Daniel P.] Oregon State Univ, Mol & Cellular Biol Program, Corvallis, OR 97331 USA.
[Kitner, Joshua B.; Schwalbach, Michael S.; Steindler, Laura; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Norbeck, Angela D.; Clauss, Therese R.; Lipton, Mary S.; Nicora, Carrie D.; Smith, Richard D.] Pacific NW Natl Lab, Biol & Computat Sci Div, Richland, WA 99352 USA.
RP Smith, DP (corresponding author), Oregon State Univ, Mol & Cellular Biol Program, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Abreu RD, 2009, MOL BIOSYST, V5, P1512, DOI 10.1039/b908315d
Andrews SC, 2003, FEMS MICROBIOL REV, V27, P215, DOI 10.1016/S0168-6445(03)00055-X
Bae WH, 2000, P NATL ACAD SCI USA, V97, P7784, DOI 10.1073/pnas.97.14.7784
Baichoo N, 2002, J BACTERIOL, V184, P5826, DOI 10.1128/JB.184.21.5826-5832.2002
Boyd PW, 2000, NATURE, V407, P695, DOI 10.1038/35037500
Callister SJ, 2006, J PROTEOME RES, V5, P277, DOI 10.1021/pr050300l
Chen GA, 2002, MOL CELL PROTEOMICS, V1, P304, DOI 10.1074/mcp.M200008-MCP200
Coale KH, 1996, NATURE, V383, P495, DOI 10.1038/383495a0
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Corbino KA, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-8-r70
Dubrac S, 2000, J BACTERIOL, V182, P3802, DOI 10.1128/JB.182.13.3802-3808.2000
Ducey TF, 2005, J BACTERIOL, V187, P4865, DOI 10.1128/JB.187.14.4865-4874.2005
Ermolenko DN, 2002, CELL MOL LIFE SCI, V59, P1902, DOI 10.1007/PL00012513
Escolar L, 1999, J BACTERIOL, V181, P6223, DOI 10.1128/JB.181.20.6223-6229.1999
Friedman YE, 2003, J BIOL CHEM, V278, P38395, DOI 10.1074/jbc.M306710200
Fuangthong M, 2003, J BACTERIOL, V185, P6348, DOI 10.1128/JB.185.21.6348-6357.2003
Fung IY, 2000, GLOBAL BIOGEOCHEM CY, V14, P281, DOI 10.1029/1999GB900059
Gaballa A, 2008, P NATL ACAD SCI USA, V105, P11927, DOI 10.1073/pnas.0711752105
Geissmann T, 2009, RNA BIOL, V6, P153, DOI 10.4161/rna.6.2.8047
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GOLDMAN JC, 1984, B MAR SCI, V35, P462
Graumann PL, 1998, TRENDS BIOCHEM SCI, V23, P286, DOI 10.1016/S0968-0004(98)01255-9
Grifantini R, 2003, P NATL ACAD SCI USA, V100, P9542, DOI 10.1073/pnas.1033001100
Griffin TJ, 2002, MOL CELL PROTEOMICS, V1, P323, DOI 10.1074/mcp.M200001-MCP200
Hamza I, 1998, J BIOL CHEM, V273, P21669, DOI 10.1074/jbc.273.34.21669
Henkin TM, 2000, CURR OPIN MICROBIOL, V3, P149, DOI 10.1016/S1369-5274(00)00067-9
Hess A, 2007, BMC GENOMICS, V8, DOI 10.1186/1471-2164-8-96
Hintze KJ, 2006, CELL MOL LIFE SCI, V63, P591, DOI 10.1007/s00018-005-5285-y
Hofweber R, 2005, FEBS J, V272, P4691, DOI 10.1111/j.1742-4658.2005.04885.x
Hu KH, 1996, GENETICS, V143, P1521
Ideker T, 2001, SCIENCE, V292, P929, DOI 10.1126/science.292.5518.929
Jickells TD, 2005, SCIENCE, V308, P67, DOI 10.1126/science.1105959
Johnson KS, 1997, MAR CHEM, V57, P137, DOI 10.1016/S0304-4203(97)00043-1
Kelly RT, 2006, ANAL CHEM, V78, P7796, DOI 10.1021/ac061133r
Kudla G, 2009, SCIENCE, V324, P255, DOI 10.1126/science.1170160
Lavrrar JL, 2003, J BACTERIOL, V185, P2194, DOI 10.1128/JB.185.7.2194-2202.2003
Le Roch KG, 2004, GENOME RES, V14, P2308, DOI 10.1101/gr.2523904
Liu XF, 2005, ACCOUNTS CHEM RES, V38, P167, DOI 10.1021/ar0302336
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MARTIN JH, 1994, NATURE, V371, P123, DOI 10.1038/371123a0
MARTIN JH, 1990, NATURE, V345, P156, DOI 10.1038/345156a0
Martínez M, 2005, MICROBIOL-SGM, V151, P3427, DOI 10.1099/mic.0.28213-0
Marzi S, 2008, BIOL CHEM, V389, P585, DOI 10.1515/BC.2008.055
Massé E, 2005, TRENDS BIOCHEM SCI, V30, P462, DOI 10.1016/j.tibs.2005.06.005
Massé E, 2007, CURR OPIN MICROBIOL, V10, P140, DOI 10.1016/j.mib.2007.03.013
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nie L, 2007, CRIT REV BIOTECHNOL, V27, P63, DOI 10.1080/07388550701334212
Phadtare S, 2003, METHOD ENZYMOL, V371, P460
Phadtare S, 1999, MOL MICROBIOL, V33, P1004, DOI 10.1046/j.1365-2958.1999.01541.x
Phadtare S, 2001, J BACTERIOL, V183, P1205, DOI 10.1128/JB.183.4.1205-1214.2001
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodionov DA, 2006, PLOS COMPUT BIOL, V2, P1568, DOI 10.1371/journal.pcbi.0020163
Rudolph G, 2006, J BACTERIOL, V188, P733, DOI 10.1128/JB.188.2.733-744.2006
SCHWALBACH MS, 2009, ENV MICROBIOL
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stülke J, 2002, ARCH MICROBIOL, V177, P433, DOI 10.1007/s00203-002-0407-5
Tiss A, 2005, FEBS LETT, V579, P5454, DOI 10.1016/j.febslet.2005.08.067
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Vecerek B, 2007, EMBO J, V26, P965, DOI 10.1038/sj.emboj.7601553
VENTURI V, 1995, MOL MICROBIOL, V15, P1081, DOI 10.1111/j.1365-2958.1995.tb02283.x
Vergara SV, 2008, BIOCHEM SOC T, V36, P1088, DOI 10.1042/BST0361088
Vraspir JM, 2009, ANNU REV MAR SCI, V1, P43, DOI 10.1146/annurev.marine.010908.163712
Wilhelm SW, 1996, LIMNOL OCEANOGR, V41, P89, DOI 10.4319/lo.1996.41.1.0089
Winkler W, 2002, NATURE, V419, P952, DOI 10.1038/nature01145
Worden AZ, 2009, SCIENCE, V324, P268, DOI 10.1126/science.1167222
Wu G, 2008, CURR MICROBIOL, V57, P18, DOI 10.1007/s00284-008-9145-5
Xia B, 2001, MOL MICROBIOL, V40, P179, DOI 10.1046/j.1365-2958.2001.02372.x
Yang JH, 2006, MOL MICROBIOL, V60, P427, DOI 10.1111/j.1365-2958.2006.05101.x
Yang JH, 2005, J BIOL CHEM, V280, P7671, DOI 10.1074/jbc.M411664200
NR 72
TC 40
Z9 45
PD MAY 5
PY 2010
VL 5
IS 5
AR e10487
DI 10.1371/journal.pone.0010487
UT WOS:000277379400023
DA 2025-07-30
ER
PT J
AU Joint, I
AF Joint, Ian
TI Unravelling the enigma of SAR11
SO ISME JOURNAL
DT Editorial Material
C1 Plymouth Marine Lab, Plymouth, Devon, England.
RP Joint, I (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth, Devon, England.
CR Archer SD, 2002, DEEP-SEA RES PT II, V49, P3067, DOI 10.1016/S0967-0645(02)00072-3
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
TRIPP HJ, 2008, IN PRESS NATURE
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 10
TC 6
Z9 9
PD MAY
PY 2008
VL 2
IS 5
BP 455
EP 456
DI 10.1038/ismej.2008.30
UT WOS:000255974500001
DA 2025-07-30
ER
PT J
AU Ngugi, DK
Stingl, U
AF Ngugi, David Kamanda
Stingl, Ulrich
TI Combined Analyses of the ITS Loci and the Corresponding 16S rRNA Genes
Reveal High Micro- and Macrodiversity of SAR11 Populations in the Red
Sea
SO PLOS ONE
DT Article
AB Bacteria belonging to the SAR11 clade are among the most abundant prokaryotes in the pelagic zone of the ocean. 16S rRNA gene-based analyses indicate that they constitute up to 60% of the bacterioplankton community in the surface waters of the Red Sea. This extremely oligotrophic water body is further characterized by an epipelagic zone, which has a temperature above 24 degrees C throughout the year, and a remarkable uniform temperature (similar to 22 degrees C) and salinity (similar to 41 psu) from the mixed layer (similar to 200 m) to the bottom at over 2000 m depth. Despite these conditions that set it apart from other marine environments, the microbiology of this ecosystem is still vastly understudied. Prompted by the limited phylogenetic resolution of the 16S rRNA gene, we extended our previous study by sequencing the internal transcribed spacer (ITS) region of SAR11 in different depths of the Red Sea's water column together with the respective 16S fragment. The overall diversity captured by the ITS loci was ten times higher than that of the corresponding 16S rRNA genes. Moreover, species estimates based on the ITS showed a highly diverse population of SAR11 in the mixed layer that became diminished in deep isothermal waters, which was in contrast to results of the related 16S rRNA genes. While the 16S rRNA gene-based sequences clustered into three phylogenetic subgroups, the related ITS fragments fell into several phylotypes that showed clear depth-dependent shifts in relative abundances. Blast-based analyses not only documented the observed vertical partitioning and universal co-occurrence of specific phylotypes in five other distinct oceanic provinces, but also highlighted the influence of ecosystem-specific traits (e. g., temperature, nutrient availability, and concentration of dissolved oxygen) on the population dynamics of this ubiquitous marine bacterium.
C1 [Ngugi, David Kamanda; Stingl, Ulrich] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Thuwal, Saudi Arabia.
RP Ngugi, DK (corresponding author), King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Thuwal, Saudi Arabia.
EM david.ngugi@kaust.edu.sa
CR Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Boelen P, 2002, MICROBIAL ECOL, V44, P164, DOI 10.1007/s00248-002-1002-7
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Bryant JA, 2012, ECOLOGY
Buesseler KO, 2004, SCIENCE, V304, P414, DOI 10.1126/science.1086895
CAMPBELL L, 1993, DEEP-SEA RES PT I, V40, P2043, DOI 10.1016/0967-0637(93)90044-4
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
CEMBER RP, 1988, J GEOPHYS RES-OCEANS, V93, P8175, DOI 10.1029/JC093iC07p08175
Clarke A, 2003, TRENDS ECOL EVOL, V18, P573, DOI 10.1016/j.tree.2003.08.007
Cohan FM, 2002, ANNU REV MICROBIOL, V56, P457, DOI 10.1146/annurev.micro.56.012302.160634
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Danovaro R, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011832
De Corte D, 2009, ISME J, V3, P147, DOI 10.1038/ismej.2008.94
Dishon G, 2012, INT J REMOTE SENS, V33, P2683, DOI 10.1080/01431161.2011.619209
Dupont CL, 2011, ISME J
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Edwards F.J., 1987, Key Environments, P45
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
FAITH DP, 1992, CLADISTICS, V8, P361, DOI 10.1111/j.1096-0031.1992.tb00078.x
FALCON LI, 2008, GENOMICS, V1, P55, DOI DOI 10.1016/J.MARGEN.2008.06.005
Farías L, 2007, DEEP-SEA RES PT I, V54, P164, DOI 10.1016/j.dsr.2006.11.003
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Fraser C, 2007, SCIENCE, V315, P476, DOI 10.1126/science.1127573
Galán A, 2009, DEEP-SEA RES PT II, V56, P1125, DOI 10.1016/j.dsr2.2008.09.016
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haverkamp THA, 2009, ISME J, V3, P397, DOI 10.1038/ismej.2008.118
Hu AY, 2011, APPL ENVIRON MICROB, V77, P7469, DOI 10.1128/AEM.00294-11
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
KIRCHMAN DL, 2007, OCEANOGRAPHY, V52, P495
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Mackey KRM, 2009, MAR BIOL, V156, P1531, DOI 10.1007/s00227-009-1185-2
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Manasrah R, 2004, OCEANOLOGIA, V46, P5
Martin AP, 2002, APPL ENVIRON MICROB, V68, P3673, DOI 10.1128/AEM.68.8.3673-3682.2002
Martiny AC., 2011, Handbook of Molecular Microbial Ecology II: Metagenomics in Different Habitats, VII, P269
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
Moigis AG, 2000, J PLANKTON RES, V22, P713, DOI 10.1093/plankt/22.4.713
Morcos SA, 1970, OCEANOGRAPHY MARINE, V8
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Ngugi DK, 2012, MOL ECOL, V21, P388, DOI 10.1111/j.1365-294X.2011.05378.x
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Paytan A, 2009, P NATL ACAD SCI USA, V106, P4601, DOI 10.1073/pnas.0811486106
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Qian PY, 2011, ISME J, V5, P507, DOI 10.1038/ismej.2010.112
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Revsbech NP, 2009, LIMNOL OCEANOGR-METH, V7, P371, DOI 10.4319/lom.2009.7.371
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sohm JA, 2011, NAT REV MICROBIOL, V9, P499, DOI 10.1038/nrmicro2594
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stambler N, 2005, J SEA RES, V54, P186, DOI 10.1016/j.seares.2005.04.006
Stein M, 2007, EARTH PLANET SC LETT, V261, P104, DOI 10.1016/j.epsl.2007.06.008
Stewart FJ, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-3-r26
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Straza TRA, 2011, AQUAT MICROB ECOL, V62, P267, DOI 10.3354/ame01469
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Trommer G, 2009, ORG GEOCHEM, V40, P724, DOI 10.1016/j.orggeochem.2009.03.001
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Wu JF, 2001, SCIENCE, V293, P847, DOI 10.1126/science.1059251
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 92
TC 30
Z9 33
PD NOV 20
PY 2012
VL 7
IS 11
AR e50274
DI 10.1371/journal.pone.0050274
UT WOS:000311535700081
DA 2025-07-30
ER
PT J
AU Haro-Moreno, JM
López-Pérez, M
Alekseev, A
Podoliak, E
Kovalev, K
Gordeliy, V
Stepanauskas, R
Rodriguez-Valera, F
AF Haro-Moreno, Jose M.
Lopez-Perez, Mario
Alekseev, Alexey
Podoliak, Elizaveta
Kovalev, Kirill
Gordeliy, Valentin
Stepanauskas, Ramunas
Rodriguez-Valera, Francisco
TI Flotillin-associated rhodopsin (FArhodopsin), a widespread paralog of
proteorhodopsin in aquatic bacteria with streamlined genomes
SO MSYSTEMS
DT Article
AB Microbial rhodopsins are found more than once in a single genome (paralogs) often have different functions. We screened a large dataset of open ocean single-amplified genomes (SAGs) for co-occurrences of multiple rhodopsin genes. Many such cases were found among Pelagibacterales (SAR11), HIMB59, and the Gammaproteo-bacteria Pseudothioglobus SAGs. These genomes always had a bona fide proteorhodopsin and a separate cluster of genes containing a second rhodopsin associated with a predicted flotillin coding gene and have thus been named flotillin-associated rhodopsins (FArhodopsins). Although they are members of the proteorhodopsin protein family, they form a separate clade within that family and are quite divergent from known proton-pumping proteorhodopsins. They contain either DTT, DTL, or DNI motifs in their key functional amino acids. FArhodopsins are mainly associated with the lower layers of the epipelagic zone. All marine FArhodopsins had the retinal binding lysine, but we found relatives in freshwater metagenomes lacking this key amino acid. AlphaFold predictions of marine FArhodopsins indicate that their retinal pocket might be very reduced or absent, hinting that they are retinal-less. Freshwater FArhodopsins were more diverse than marine ones, but we could not determine if there were other rhodopsins in the genome due to the lack of SAGs or isolates. Although the function of FArhodopsins could not be established, their conserved genomic context indicated involvement in the formation of membrane microdomains. The conservation of FArhodopsins in diverse and globally abundant microorganisms suggests that they may be important in the adaptation to the twilight zone of aquatic environments.
IMPORTANCE Rhodopsins have been shown to play a key role in the ecology of aquatic microbes. Here, we describe a group of widespread rhodopsins in aquatic microbes associated with dim light conditions. Their characteristic genomic context found in both marine and freshwater environments indicates a novel potential involvement in membrane microstructure that could be important for the function of the coexisting proteorhodopsin proton pumps. The absence or reduction of the retinal binding pocket points to a drastically different physiological role.
C1 [Haro-Moreno, Jose M.; Lopez-Perez, Mario; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Alicante, Spain.
[Haro-Moreno, Jose M.; Gordeliy, Valentin] Univ Grenoble Alpes Commiss Atom Energy, Inst Biol Struct, Grenoble, France.
[Alekseev, Alexey] Univ Med Ctr Gottingen, Inst Auditory Neurosci & InnerEarLab, Gottingen, Germany.
[Podoliak, Elizaveta] Univ Augenklin Bonn, Dept Ophthalmol, Bonn, Germany.
[Kovalev, Kirill] European Mol Biol Lab EMBL, Hamburg, Germany.
[Gordeliy, Valentin] Forschungszentrum Julich, Inst Biol Informat Proc, Struct Biochem, Julich, Germany.
[Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME USA.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Alicante, Spain.
EM frvalera@umh.es
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Bach JN, 2013, MOL MICROBIOL, V88, P1205, DOI 10.1111/mmi.12252
Bandyopadhyay K, 2010, ARCH BIOCHEM BIOPHYS, V501, P239, DOI 10.1016/j.abb.2010.06.030
Becker EA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156543
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Beja O., 2013, Encyclopedia of Biodiversity, VSecond, P280
Béjà O, 2014, P NATL ACAD SCI USA, V111, P6538, DOI 10.1073/pnas.1405093111
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Bramkamp M, 2015, MICROBIOL MOL BIOL R, V79, P81, DOI 10.1128/MMBR.00036-14
Broser M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19375-8
Browman DT, 2007, TRENDS CELL BIOL, V17, P394, DOI 10.1016/j.tcb.2007.06.005
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cabello-Yeves PJ, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00374-1
Cabello-Yeves PJ, 2020, LIMNOL OCEANOGR, V65, P1471, DOI 10.1002/lno.11401
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01151
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Chiriac MC, 2022, MICROBIOME, V10, DOI 10.1186/s40168-022-01274-3
Cho SG, 2022, PLOS BIOL, V20, DOI 10.1371/journal.pbio.3001817
Dempwolff F, 2012, J BACTERIOL, V194, P4652, DOI 10.1128/JB.00910-12
Donovan C, 2009, MICROBIOL-SGM, V155, P1786, DOI 10.1099/mic.0.025312-0
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
Fu HY, 2010, J BACTERIOL, V192, P5866, DOI 10.1128/JB.00642-10
Garner R, 2022, bioRxiv, DOI [10.1101/2022.08.12.503676, 10.1101/2022.08.12.503676, DOI 10.1101/2022.08.12.503676]
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gómez-Consarnau L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw8855
Goren MA, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6115
Govorunova EG, 2017, ANNU REV BIOCHEM, V86, P845, DOI 10.1146/annurev-biochem-101910-144233
Gushchin I, 2018, SUBCELL BIOCHEM, V87, P19, DOI 10.1007/978-981-10-7757-9_2
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Hallgren J., 2022, BIORXIV, DOI DOI 10.1101/2022.04.08.487609
Haro-Moreno JM, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.708782
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
Hososhima S, 2022, ELIFE, V11, DOI 10.7554/eLife.78416
Hunter S, 2009, NUCLEIC ACIDS RES, V37, pD211, DOI 10.1093/nar/gkn785
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Inoue K, 2015, TRENDS MICROBIOL, V23, P91, DOI 10.1016/j.tim.2014.10.009
Inoue K, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2689
Jumper J, 2021, NATURE, V596, P583, DOI 10.1038/s41586-021-03819-2
Kishi KE, 2022, CELL, V185, P672, DOI 10.1016/j.cell.2022.01.007
Kovalev K, 2020, P NATL ACAD SCI USA, V117, P4131, DOI 10.1073/pnas.1915888117
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
López D, 2010, GENE DEV, V24, P1893, DOI 10.1101/gad.1945010
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.01041-20
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
López-Pérez M, 2019, ENVIRON MICROBIOL, V21, P1980, DOI 10.1111/1462-2920.14462
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
Mirdita Milot, 2021, Zenodo
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Munson-McGee JH, 2022, NATURE, V612, P764, DOI 10.1038/s41586-022-05505-3
OESTERHELT D, 1971, NATURE-NEW BIOL, V233, P149, DOI 10.1038/newbio233149a0
Oke M, 2019, BIOCHEM MOL BIOL EDU, V47, P620, DOI 10.1002/bmb.21300
Olson DK, 2018, ISME J, V12, P1047, DOI 10.1038/s41396-018-0074-4
Otto GP, 2011, J CELL SCI, V124, P3933, DOI 10.1242/jcs.092015
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parks DH, 2020, NAT BIOTECHNOL, V38, P1098, DOI 10.1038/s41587-020-0539-7
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Pushkarev A, 2018, NATURE, V558, P595, DOI 10.1038/s41586-018-0225-9
Ran TT, 2013, ACTA CRYSTALLOGR D, V69, P1965, DOI 10.1107/S0907444913017575
Riedel T, 2012, STAND GENOMIC SCI, V7, P107, DOI 10.4056/sigs.3216895
Roda-Garcia JJ, 2023, ENVIRON MICROBIOL, V25, P1136, DOI 10.1111/1462-2920.16348
Rozenberg A, 2021, ANNU REV MICROBIOL, V75, P427, DOI 10.1146/annurev-micro-031721-020452
SCHAR HP, 1986, EUR J BIOCHEM, V158, P469, DOI 10.1111/j.1432-1033.1986.tb09778.x
Shevchenko V, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1603187
Shim JG, 2022, MICROBIOL SPECTR, V10, DOI 10.1128/spectrum.02215-22
SPUDICH JL, 1984, NATURE, V312, P509, DOI 10.1038/312509a0
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Teufel F, 2022, NAT BIOTECHNOL, V40, P1023, DOI 10.1038/s41587-021-01156-3
Yamauchi Y, 2019, PHOTOCHEM PHOTOBIOL, V95, P1116, DOI 10.1111/php.13114
Yoshizawa S, 2014, P NATL ACAD SCI USA, V111, P6732, DOI 10.1073/pnas.1403051111
NR 84
TC 0
Z9 0
PD JUN 29
PY 2023
VL 8
IS 3
DI 10.1128/msystems.00008-23
EA MAY 2023
UT WOS:001026298700001
DA 2025-07-30
ER
PT J
AU Yang, SJ
Kang, I
Cho, JC
AF Yang, Seung-Jo
Kang, Ilnam
Cho, Jang-Cheon
TI Expansion of Cultured Bacterial Diversity by Large-Scale
Dilution-to-Extinction Culturing from a Single Seawater Sample
SO MICROBIAL ECOLOGY
DT Article
AB High-throughput cultivation (HTC) based on a dilution-to-extinction method has been applied broadly to the cultivation of marine bacterial groups, which has often led to the repeated isolation of abundant lineages such as SAR11 and oligotrophic marine gammaproteobacteria (OMG). In this study, to expand the phylogenetic diversity of HTC isolates, we performed a large-scale HTC with a single surface seawater sample collected from the East Sea, the Western Pacific Ocean. Phylogenetic analyses of the 16S rRNA genes from 847 putative pure cultures demonstrated that some isolates were affiliated with not-yet-cultured clades, including the OPB35 and Puniceicoccaceae marine group of Verrucomicrobia and PS1 of Alphaproteobacteria. In addition, numerous strains were obtained from abundant clades, such as SAR11, marine Roseobacter clade, OMG (e.g., SAR92 and OM60), OM43, and SAR116, thereby increasing the size of available culture resources for representative marine bacterial groups. Comparison between the composition of HTC isolates and the bacterial community structure of the seawater sample used for HTC showed that diverse marine bacterial groups exhibited various growth capabilities under our HTC conditions. The growth response of many bacterial groups, however, was clearly different from that observed with conventional plating methods, as exemplified by numerous isolates of the SAR11 clade and Verrucomicrobia. This study showed that a large number of novel bacterial strains could be obtained by an extensive HTC from even a small number of samples.
C1 [Yang, Seung-Jo; Kang, Ilnam; Cho, Jang-Cheon] Inha Univ, Dept Biol Sci, Inchon 402751, South Korea.
RP Cho, JC (corresponding author), Inha Univ, Dept Biol Sci, Inchon 402751, South Korea.
EM chojc@inha.ac.kr
CR AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Aoi Y, 2009, APPL ENVIRON MICROB, V75, P3826, DOI 10.1128/AEM.02542-08
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cho JC, 2004, ENVIRON MICROBIOL, V6, P611, DOI 10.1111/j.1462-2920.2004.00614.x
Choi A, 2013, INT J SYST EVOL MICR, V63, P1540, DOI 10.1099/ijs.0.046433-0
Choo YJ, 2007, INT J SYST EVOL MICR, V57, P532, DOI 10.1099/ijs.0.64616-0
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Drüppel K, 2014, ENVIRON MICROBIOL, V16, P218, DOI 10.1111/1462-2920.12276
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
HALL T.A., 1999, NUCL ACIDS S SERIES, V41, P95, DOI [DOI 10.1021/BK-1999-0734.CH008, DOI 10.14601/PHYTOPATHOLMEDITERR-14998U1.29]
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Huggett MJ, 2012, STAND GENOMIC SCI, V6, P11, DOI 10.4056/sigs.2305090
Huggett MJ, 2012, J BACTERIOL, V194, P2393, DOI 10.1128/JB.00171-12
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Jang Y, 2011, J BACTERIOL, V193, P3415, DOI 10.1128/JB.05111-11
Jimenez-Infante F, 2014, FEMS MICROBIOL ECOL, V89, P181, DOI 10.1111/1574-6941.12348
Johnson M, 2008, NUCLEIC ACIDS RES, V36, pW5, DOI 10.1093/nar/gkn201
Jung D, 2014, FEMS MICROBIOL ECOL, V90, P417, DOI 10.1111/1574-6941.12399
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kang I, 2011, J BACTERIOL, V193, P3688, DOI 10.1128/JB.05226-11
Kant R, 2011, J BACTERIOL, V193, P2900, DOI 10.1128/JB.00299-11
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
Kim OS, 2012, INT J SYST EVOL MICR, V62, P716, DOI 10.1099/ijs.0.038075-0
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martinez-Garcia M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035314
Metcalf WW, 2012, SCIENCE, V337, P1104, DOI 10.1126/science.1219875
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nichols D, 2010, APPL ENVIRON MICROB, V76, P2445, DOI 10.1128/AEM.01754-09
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Rappé MS, 2013, CURR OPIN MICROBIOL, V16, P618, DOI 10.1016/j.mib.2013.09.009
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schloss PD, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027310
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Sosa OA, 2015, ISME J, V9, P2725, DOI 10.1038/ismej.2015.68
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Spring S, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00281
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-118
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Steinert G, 2014, MAR BIOTECHNOL, V16, P594, DOI 10.1007/s10126-014-9575-y
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Tandogan N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101429
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Turner S, 1999, J EUKARYOT MICROBIOL, V46, P327, DOI 10.1111/j.1550-7408.1999.tb04612.x
Vartoukian SR, 2010, FEMS MICROBIOL LETT, V309, P1, DOI 10.1111/j.1574-6968.2010.02000.x
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
Wiegmann K, 2014, APPL ENVIRON MICROB, V80, P4725, DOI 10.1128/AEM.00719-14
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Yang SJ, 2012, J BACTERIOL, V194, P6952, DOI 10.1128/JB.01888-12
Yilmaz P, 2012, FEMS MICROBIOL ECOL, V81, P373, DOI 10.1111/j.1574-6941.2012.01357.x
Yoon J, 2007, INT J SYST EVOL MICR, V57, P959, DOI 10.1099/ijs.0.64755-0
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zengler K, 2002, P NATL ACAD SCI USA, V99, P15681, DOI 10.1073/pnas.252630999
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zinger L, 2014, MOL ECOL, V23, P954, DOI 10.1111/mec.12640
NR 87
TC 38
Z9 44
PD JAN
PY 2016
VL 71
IS 1
BP 29
EP 43
DI 10.1007/s00248-015-0695-3
UT WOS:000367097500005
DA 2025-07-30
ER
PT J
AU Silovic, T
Balagué, V
Orlic, S
Pedros-Alió, C
AF Silovic, Tina
Balague, Vanessa
Orlic, Sandi
Pedros-Alio, Carlos
TI Picoplankton seasonal variation and community structure in the northeast
Adriatic coastal zone
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB The bacterial community in coastal waters of northeastern Adriatic Sea was dominated by SAR11 and Sulfitobacter taxa throughout the year. The seasonal distribution of bacterioplankton taxa showed continual differences between surface (0 m) and bottom (27 m) layers. The surface assemblage was represented by Actinobacteria, Cyanobacteria, Alphaproteobacteria, and Gammaproteobacteria, while the bottom assemblage was made up of Bacteroidetes, Cyanobacteria and Alphaproteobacteria. As SAR11 was more dominant in the bottom layer, its appearance may be linked to northward transport of oligotrophic waters of higher salinity from the south. Gammaproteobacteria appeared only in the surface layer during summer, influenced by higher amounts of nutrients, brought in by the Po River. Synechococcus was the most abundant taxon at the genus level. Dominance of Synechococcus during the whole season agrees with its dominance in terms of abundance determined by flow cytometry, and confirms its utmost importance in the picoplankton community of this area. We found two different types of Synechococcus: one type with high similarity to Synechococcus CC9902, present in the surface and bottom layers, and another one similar to Synechococcus WH7803, present only in the surface layer. Oligotrophic conditions together with complex hydrological features of this area were reflected in diversification and dynamic shifts of surface and bottom assemblages.
C1 [Silovic, Tina; Orlic, Sandi] Rudjer Boskovic Inst, Ctr Marine Res, Rovinj 52210, Croatia.
[Balague, Vanessa; Pedros-Alio, Carlos] CSIC, Inst Ciencias Mar, Barcelona, Catalonia, Spain.
RP Silovic, T (corresponding author), Rudjer Boskovic Inst, Ctr Marine Res, G Paliaga 5, Rovinj 52210, Croatia.
EM tina.silovic@cim.irb.hr
CR Alonso-Gutiérrez J, 2009, FEMS MICROBIOL ECOL, V70, P493, DOI 10.1111/j.1574-6941.2009.00766.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Artegiani A, 1997, J PHYS OCEANOGR, V27, P1515, DOI 10.1175/1520-0485(1997)027<1515:TASGCP>2.0.CO;2
Aubry FB, 2006, INT REV HYDROBIOL, V91, P51, DOI 10.1002/iroh.200410787
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Celussi M, 2007, GENE, V406, P113, DOI 10.1016/j.gene.2007.07.010
Celussi M, 2011, FEMS MICROBIOL ECOL, V75, P77, DOI 10.1111/j.1574-6941.2010.00997.x
Clarke KR., 2006, PRIMER VERSION 7 USE
Degobbis D, 2000, INT J ENVIRON POLLUT, V13, P495, DOI 10.1504/IJEP.2000.002332
DeLong EF, 2005, NATURE, V437, P336, DOI 10.1038/nature04157
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuller NJ, 2006, LIMNOL OCEANOGR, V51, P2515, DOI 10.4319/lo.2006.51.6.2515
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Gladan Z. N., 2006, ACTA ADRIAT, V47, P127
IVANCIC I, 1984, WATER RES, V18, P1143, DOI 10.1016/0043-1354(84)90230-6
Ivancic I, 2010, J MARINE SYST, V82, P206, DOI 10.1016/j.jmarsys.2010.05.008
Kan JJ, 2006, LIMNOL OCEANOGR, V51, P2157, DOI 10.4319/lo.2006.51.5.2157
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mihanovic H, 2011, J GEOPHYS RES-OCEANS, V116, DOI [10.1029/2011JC007104, 10.1029/2011J0007104]
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mozetic P, 2010, ESTUAR COAST, V33, P362, DOI 10.1007/s12237-009-9191-7
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
ORLIC M, 1992, OCEANOL ACTA, V15, P109
Paoli A, 2008, FEMS MICROBIOL ECOL, V64, P219, DOI 10.1111/j.1574-6941.2008.00459.x
Parsons R.T., 1984, A manual of chemical and biological methods for seawater analysis, V1st, P173
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Post AF, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00131
Radic T, 2009, FRESEN ENVIRON BULL, V18, P715
Sánchez O, 2009, AQUAT MICROB ECOL, V54, P211, DOI 10.3354/ame01267
Schauer M, 2000, FEMS MICROBIOL ECOL, V33, P51, DOI 10.1016/S0168-6496(00)00043-X
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Silovic T, 2011, ESTUAR COAST SHELF S, V91, P519, DOI 10.1016/j.ecss.2010.12.012
Socal G, 2008, MAR ECOL-EVOL PERSP, V29, P449, DOI 10.1111/j.1439-0485.2008.00266.x
Solidoro C, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2008JC004838
Supic N, 2003, NUOVO CIMENTO C, V26, P117
Tai V, 2009, ISME J, V3, P903, DOI 10.1038/ismej.2009.35
Yokokawa T, 2010, AQUAT MICROB ECOL, V59, P185, DOI 10.3354/ame01393
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 41
TC 24
Z9 25
PD DEC
PY 2012
VL 82
IS 3
BP 678
EP 691
DI 10.1111/j.1574-6941.2012.01438.x
UT WOS:000311378300012
DA 2025-07-30
ER
PT J
AU Våge, S
Storesund, JE
Thingstad, TF
AF Vage, Selina
Storesund, Julia E.
Thingstad, T. Frede
TI SAR11 viruses and defensive host strains
SO NATURE
DT Letter
C1 [Vage, Selina; Storesund, Julia E.; Thingstad, T. Frede] Univ Bergen, Dept Biol, N-5020 Bergen, Norway.
RP Våge, S (corresponding author), Univ Bergen, Dept Biol, N-5020 Bergen, Norway.
EM Selina.Vage@bio.uib.no
CR Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Kirchman DL, 2013, NATURE, V494, P320, DOI 10.1038/nature11951
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Rodriguez-Brito B, 2010, ISME J, V4, P739, DOI 10.1038/ismej.2010.1
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Våge S, 2013, ENVIRON MICROBIOL, V15, P1842, DOI 10.1111/1462-2920.12077
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 10
TC 34
Z9 39
PD JUL 25
PY 2013
VL 499
IS 7459
BP E3
EP E4
DI 10.1038/nature12387
UT WOS:000322157900001
DA 2025-07-30
ER
PT J
AU Ashley, S
AF Ashley, S
TI Lean gene machine
SO SCIENTIFIC AMERICAN
DT News Item
AB The human body has twenty-five thousand genes whereas an oceanic bacterium, Pelagibacter ubique (or SAR11), one of the smallest self-replicating cells known, has only one-thousand three hundred and fifty four genes. This paring down the bacterium's genome appears to be evolution's way of conserving genetic energy for an abundant organism in the face of limited resources.
NR 0
TC 0
Z9 0
PD DEC
PY 2005
VL 293
IS 6
BP 26
EP 28
DI 10.1038/scientificamerican1205-26
UT WOS:000233750200019
DA 2025-07-30
ER
PT J
AU Mohapatra, M
Behera, P
Kim, JY
Rastogi, G
AF Mohapatra, Madhusmita
Behera, Pratiksha
Kim, Ji Yoon
Rastogi, Gurdeep
TI Seasonal and spatial dynamics of bacterioplankton communities in a
brackish water coastal lagoon
SO SCIENCE OF THE TOTAL ENVIRONMENT
DT Article
AB Coastal ecosystems, one of the most productive ecosystems, are subjected to natural and anthropogenic stresses. Coastal bacterioplankton communities are highly dynamic due to spatiotemporal heterogeneity in the environmental parameters. We investigated the seasonal and spatial variation in bacterioplankton communities, their abundances and environmental drivers during one year period in Chilika, a brackish water coastal lagoon of India. High-throughput sequencing of 16S rRNA genes of bacterioplankton communities showed that they were dominated by heterotrophs namely alpha-Proteobacteria SAR11 and their sub-clades (SAR11_Ib Chesapeake-Delaware_Bay, Candidatus_Pelagibacter, and SAR11_Surface_1), acti-nobacterial lineages (hgcI, CL500-29, and Candidatus_Aquiluna), beta-Proteobacteria MWH-UniP1 , beta-Proteobacteria OM43, and verrucomicrobial Glade Spartobacteria 'LD29'. Synechococcus was the dominant member within autotrophic cyanobacterial community. Response ratio derived from comparisons of taxon-specific absolute abundances and indicator analyses showed that SAR11_Surface_1 sub-Glade occupied high-salinity environment especially during summer and winter and emerged as a strong indicator for mesohaline-polyhaline salinity regime. In contrast, Spartobacteria 'LD29', Actinobacteria hgcI, and CL500-29 preferred low-salinity freshwater environment and were strong indicators for oligohaline-mesohaline regimes. Spatiotemporal patterns were governed by 'distance-decay' and 'similarity-time' relationships. Bacterioplankton communities were mostly determined by salinity, dissolved oxygen, phosphate, and pH which resulted 'species sorting' leading to biogeographical patterns in the bacterioplankton communities. Modeling analysis revealed the characteristic shift in the indicator bacterioplankton taxa along with estuarine salinity gradient. This study has provided baseline information on the bacterioplankton communities and their environmental drivers within an anthropogenically impacted cyclone prone coastal lagoon which would be useful in assessing the impact of multiple stressors on this vulnerable ecosystem. (C) 2019 Elsevier B.V. All rights reserved.
C1 [Mohapatra, Madhusmita; Behera, Pratiksha; Rastogi, Gurdeep] Chilika Dev Author, Wetland Res & Training Ctr, Balugaon 752030, Odisha, India.
[Mohapatra, Madhusmita] KIIT Univ, Sch Biotechnol, Bhubaneswar 751024, Odisha, India.
[Kim, Ji Yoon] Natl Inst Environm Studies, Ctr Climate Change Adaptat, Tsukuba, Ibaraki 3058506, Japan.
RP Rastogi, G (corresponding author), Chilika Dev Author, Wetland Res & Training Ctr, Balugaon 752030, Odisha, India.
EM rastogigurdeep@gmail.com
CR Albrecht M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00923
Amir M, 2019, J MARINE SYST, V194, P81, DOI 10.1016/j.jmarsys.2019.03.001
Antunes JT, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00473
Behera P, 2017, SCI TOTAL ENVIRON, V595, P472, DOI 10.1016/j.scitotenv.2017.03.271
Bergen B, 2014, ENV MICROBIOL REP, V6, P625, DOI 10.1111/1758-2229.12178
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01151
Calandrino ES, 2011, HARMFUL ALGAE, V11, P1, DOI 10.1016/j.hal.2011.04.003
Caroppo C, 2002, J PLANKTON RES, V24, P267, DOI 10.1093/plankt/24.3.267
Comte J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025266
Conan P, 2017, BIOGEOSCIENCES, V14, P959, DOI 10.5194/bg-14-959-2017
Cotner JB, 2002, ECOSYSTEMS, V5, P105, DOI 10.1007/s10021-001-0059-3
Díez B, 2001, APPL ENVIRON MICROB, V67, P2942, DOI 10.1128/AEM.67.7.2942-2951.2001
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fortunato CS, 2011, MICROB ECOL, V62, P374, DOI 10.1007/s00248-011-9805-z
Gamage AT, 2018, SPRBRIEF ELECT, P9, DOI 10.1007/978-3-319-64268-0_2
Ganguly D, 2015, J EARTH SYST SCI, V124, P1005, DOI 10.1007/s12040-015-0582-9
Garcia-Solache MA, 2013, MBIO, V4, DOI 10.1128/mBio.00100-13
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Grasshoff K., 1999, Methods of seawater analysis, P600
Griffiths JR, 2017, GLOBAL CHANGE BIOL, V23, P2179, DOI 10.1111/gcb.13642
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P112, DOI 10.1099/ijs.0.001743-0
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2013, MBIO, V4, DOI 10.1128/mBio.00569-12
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Herrmann M, 2009, APPL ENVIRON MICROB, V75, P3127, DOI 10.1128/AEM.02806-08
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Jimenez-Infante F., 2015, APPL ENV MICROBIOL
Kang I, 2012, J BACTERIOL, V194, P3550, DOI 10.1128/JB.00586-12
Laque T, 2010, MICROB ECOL, V59, P819, DOI 10.1007/s00248-010-9642-5
Li JJ, 2017, MAR POLLUT BULL, V125, P199, DOI 10.1016/j.marpolbul.2017.08.026
LIN QY, 2018, PEERJ PREPRINTS, V8, DOI DOI 10.1038/S41598-018-33406-X
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Mengoni A, 2002, ANN MICROBIOL, V52, P95
Mishra SR, 2010, APPL GEOGR, V30, P448, DOI 10.1016/j.apgeog.2009.12.001
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Piccini C, 2006, APPL ENVIRON MICROB, V72, P6560, DOI 10.1128/AEM.01089-06
Piwosz K, 2013, LIMNOL OCEANOGR, V58, P817, DOI 10.4319/lo.2013.58.3.0817
Props R, 2017, ISME J, V11, P584, DOI 10.1038/ismej.2016.117
Rastogi G, 2010, J MICROBIOL METH, V83, P127, DOI 10.1016/j.mimet.2010.08.006
Richa K, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.00494-17
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shen DD, 2018, ENVIRON MICROBIOL, V20, P1170, DOI 10.1111/1462-2920.14059
Srichandan S, 2015, MAR POLLUT BULL, V101, P39, DOI 10.1016/j.marpolbul.2015.11.030
Srichandan S, 2015, ENVIRON MONIT ASSESS, V187, DOI 10.1007/s10661-014-4212-9
Wang K, 2015, ENVIRON MICROBIOL, V17, P3898, DOI 10.1111/1462-2920.12884
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Yu SX, 2018, PEERJ, V6, DOI 10.7717/peerj.4272
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhang ZY, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01071-1
Zhou WH, 2011, MAR POLLUT BULL, V62, P726, DOI 10.1016/j.marpolbul.2011.01.018
NR 61
TC 38
Z9 42
PD FEB 25
PY 2020
VL 705
AR 134729
DI 10.1016/j.scitotenv.2019.134729
UT WOS:000508129700004
DA 2025-07-30
ER
PT J
AU Haber, M
Rosenberg, DR
Lalzar, M
Burgsdorf, I
Saurav, K
Lionheart, R
Lehahn, Y
Aharonovich, D
Gomez-Consarnau, L
Sher, D
Krom, MD
Steindler, L
AF Haber, Markus
Roth Rosenberg, Dalit
Lalzar, Maya
Burgsdorf, Ilia
Saurav, Kumar
Lionheart, Regina
Lehahn, Yoav
Aharonovich, Dikla
Gomez-Consarnau, Laura
Sher, Daniel
Krom, Michael D.
Steindler, Laura
TI Spatiotemporal Variation of Microbial Communities in the
Ultra-Oligotrophic Eastern Mediterranean Sea
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Marine microbial communities vary seasonally and spatially, but these two factors are rarely addressed together. In this study, the temporal and spatial patterns of the bacterial and archaeal community were studied along a coast-to-offshore transect in the Eastern Mediterranean Sea (EMS) over six cruises, in three seasons of 2 consecutive years. Amplicon sequencing of 16S rRNA genes and transcripts was performed to determine presence and activity, respectively. The ultra-oligotrophic status of the Southeastern Mediterranean Sea was reflected in the microbial community composition dominated by oligotrophic bacterial groups such as SAR11, even at the most coastal station sampled, throughout the year. Seasons significantly affected the microbial communities, explaining more than half of the observed variability. However, the same few taxa dominated the community over the 2-year sampling period, varying only in their degree of dominance. While there was no overall effect of station location on the microbial community, the most coastal site (16 km offshore) differed significantly in community structure and activity from the three further offshore stations in early winter and summer. Our data on the microbial community compositions and their seasonality support previous notions that the EMS behaves like an oceanic gyre.
C1 [Haber, Markus; Roth Rosenberg, Dalit; Burgsdorf, Ilia; Saurav, Kumar; Aharonovich, Dikla; Sher, Daniel; Krom, Michael D.; Steindler, Laura] Univ Haifa, Leon H Charney Sch Marine Sci, Dept Marine Biol, Haifa, Israel.
[Haber, Markus] CASxxxx, Biol Ctr, Dept Aquat Microbial Ecol, Inst Hydrobiol, Ceske Budejovice, Czech Republic.
[Lalzar, Maya] Univ Haifa, Bioinformat Serv Unit, Haifa, Israel.
[Lionheart, Regina; Lehahn, Yoav] Univ Haifa, Leon H Charney Sch Marine Sci, Dr Moses Strauss Dept Marine Geosci, Dr, Haifa, Israel.
[Gomez-Consarnau, Laura] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA USA.
[Gomez-Consarnau, Laura] Ctr Invest Cient & Educ Super Ensenada, Dept Biol Oceanog, Ensenada, Mexico.
[Krom, Michael D.] Univ Haifa, Leon H Charney Sch Marine Sci, Environm Geochem Lab, Morris Kahn Marine Res Stn, Haifa, Israel.
RP Steindler, L (corresponding author), Univ Haifa, Leon H Charney Sch Marine Sci, Dept Marine Biol, Haifa, Israel.
EM lsteindler@univ.haifa.ac.il
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
ARMSTRONG FA, 1967, DEEP-SEA RES, V14, P381, DOI 10.1016/0011-7471(67)90082-4
Auladell A, 2022, ISME J, V16, P178, DOI 10.1038/s41396-021-01053-2
Ben Ezra T, 2021, DEEP-SEA RES PT I, V176, DOI 10.1016/j.dsr.2021.103607
BERMAN T, 1986, OCEANOL ACTA, V9, P439
Bryant JA, 2016, ISME J, V10, P1308, DOI 10.1038/ismej.2015.221
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Camarena-Gómez MT, 2018, AQUAT MICROB ECOL, V81, P149, DOI 10.3354/ame01868
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
D'Alimonte D, 2003, IEEE T GEOSCI REMOTE, V41, P2861, DOI 10.1109/TGRS.2003.817682
De Cáceres M, 2010, OIKOS, V119, P1674, DOI 10.1111/j.1600-0706.2010.18334.x
Dubinsky V, 2017, ENVIRON MICROBIOL, V19, P1077, DOI 10.1111/1462-2920.13624
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2018, ISME J, V12, P2470, DOI 10.1038/s41396-018-0158-1
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grasshoff K., 1983, METHODS SEAWATER ANA
Grasshoff K., 2009, THEOR COMPUT SCI, DOI DOI 10.1016/0304-3975(78)90045-2
Green SJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0128122
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Hazan O, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00001
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
Kerouel R, 1997, MAR CHEM, V57, P265, DOI 10.1016/S0304-4203(97)00040-6
Keuter S, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv070
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
Kress N, 2001, DEEP-SEA RES PT I, V48, P2347, DOI 10.1016/S0967-0637(01)00022-X
Krom MD, 2010, PROG OCEANOGR, V85, P236, DOI 10.1016/j.pocean.2010.03.003
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
Krom MD, 2005, DEEP-SEA RES PT II, V52, P2879, DOI 10.1016/j.dsr2.2005.08.009
Krom M, 2014, MEDITERRANEAN SEA: ITS HISTORY AND PRESENT CHALLENGES, P49, DOI 10.1007/978-94-007-6704-1_4
Lehahn Y, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14868
Lucas J, 2016, HELGOLAND MAR RES, V70, DOI 10.1186/s10152-016-0464-9
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Mella-Flores Daniella, 2012, Front Microbiol, V3, P285
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Moonsamy PV, 2013, TISSUE ANTIGENS, V81, P141, DOI 10.1111/tan.12071
Morales SE, 2018, ENV MICROBIOL REP, V10, P184, DOI 10.1111/1758-2229.12618
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
Oksanen Jari, 2024, CRAN
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Powley HR, 2017, GLOBAL BIOGEOCHEM CY, V31, P1010, DOI 10.1002/2017GB005648
Quéméneur M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.593540
Quero GM, 2014, MAR GENOM, V17, P9, DOI 10.1016/j.margen.2014.04.002
Raveh O, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140690
Reich T, 2022, DEEP-SEA RES PT I, V182, DOI 10.1016/j.dsr.2022.103720
Rosenberg DR, 2021, ENVIRON MICROBIOL, V23, P4295, DOI 10.1111/1462-2920.15611
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schlitzer R., 2015, Can. Meteorlogical Oceanogr. Soc, P9
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sebastián M, 2021, LIMNOL OCEANOGR, V66, P4077, DOI 10.1002/lno.11944
Smyth TJ, 2011, J GEOPHYS RES-OCEANS, V116, DOI [10.1029/2011J0007183, 10.1029/2011JC007183]
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tanaka T, 2011, BIOGEOSCIENCES, V8, P525, DOI 10.5194/bg-8-525-2011
Tedetti M, 2006, PHOTOCHEM PHOTOBIOL, V82, P389, DOI 10.1562/2005-11-09-IR-733
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Tinta T, 2015, ENVIRON MICROBIOL, V17, P3581, DOI 10.1111/1462-2920.12519
Tsiola A, 2016, MICROB ECOL, V71, P575, DOI 10.1007/s00248-015-0713-5
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Volpe G, 2007, REMOTE SENS ENVIRON, V107, P625, DOI 10.1016/j.rse.2006.10.017
Wang Z, 2019, ENVIRON MICROBIOL, V21, P3862, DOI 10.1111/1462-2920.14734
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
NR 72
TC 12
Z9 12
PD APR 7
PY 2022
VL 13
AR 867694
DI 10.3389/fmicb.2022.867694
UT WOS:000791062000001
DA 2025-07-30
ER
PT J
AU Fu, YY
Rivkin, RB
Lang, AS
AF Fu, Yunyun
Rivkin, Richard B.
Lang, Andrew S.
TI Effects of Vertical Water Mass Segregation on Bacterial Community
Structure in the Beaufort Sea
SO MICROORGANISMS
DT Article
AB The Arctic Ocean is one of the least well-studied marine microbial ecosystems. Its low-temperature and low-salinity conditions are expected to result in distinct bacterial communities, in comparison to lower latitude oceans. However, this is an ocean currently in flux, with climate change exerting pronounced effects on sea-ice coverage and freshwater inputs. How such changes will affect this ecosystem are poorly constrained. In this study, we characterized the bacterial community compositions at different depths in both coastal, freshwater-influenced, and pelagic, sea-ice-covered locations in the Beaufort Sea in the western Canadian Arctic Ocean. The environmental factors controlling the bacterial community composition and diversity were investigated. Alphaproteobacteria dominated the bacterial communities in samples from all depths and stations. The Pelagibacterales and Rhodobacterales groups were the predominant taxonomic representatives within the Alphaproteobacteria. Bacterial communities in coastal and offshore samples differed significantly, and vertical water mass segregation was the controlling factor of community composition among the offshore samples, regardless of the taxonomic level considered. These data provide an important baseline view of the bacterial community in this ocean system that will be of value for future studies investigating possible changes in the Arctic Ocean in response to global change and/or anthropogenic disturbance.
C1 [Fu, Yunyun; Lang, Andrew S.] Mem Univ Newfoundland, Dept Biol, 232 Elizabeth Ave, St John, NF A1B 3X9, Canada.
[Rivkin, Richard B.] Mem Univ Newfoundland, Dept Ocean Sci, 0 Marine Lab Rd, St John, NF A1C 5S7, Canada.
RP Lang, AS (corresponding author), Mem Univ Newfoundland, Dept Biol, 232 Elizabeth Ave, St John, NF A1B 3X9, Canada.
EM yunyun.fu@mun.ca; rrivkin@mun.ca; aslang@mun.ca
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
Aksenov Y, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006637
Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Amon RMW, 2001, LIMNOL OCEANOGR, V46, P287, DOI 10.4319/lo.2001.46.2.0287
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Barbeau K, 2001, AQUAT MICROB ECOL, V24, P69, DOI 10.3354/ame024069
Bouman HA, 2006, SCIENCE, V312, P918, DOI 10.1126/science.1122692
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Bowman JS, 2012, ISME J, V6, P11, DOI 10.1038/ismej.2011.76
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brinkmeyer R, 2000, EUR J PHYCOL, V35, P315, DOI 10.1017/S096702620000295X
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Carson MA, 1998, ARCTIC, V51, P116
CHAO A, 1984, SCAND J STAT, V11, P265
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dinasquet J, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00154
Dittmar T, 2003, MAR CHEM, V83, P103, DOI 10.1016/S0304-4203(03)00105-1
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
El-Swais H, 2015, ENVIRON MICROBIOL, V17, P3642, DOI 10.1111/1462-2920.12629
Fenchel T, 2008, J EXP MAR BIOL ECOL, V366, P99, DOI 10.1016/j.jembe.2008.07.013
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Forest A, 2013, BIOGEOSCIENCES, V10, P2833, DOI 10.5194/bg-10-2833-2013
Fu YY, 2013, FEMS MICROBIOL ECOL, V84, P564, DOI 10.1111/1574-6941.12085
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giebel HA, 2013, INT J SYST EVOL MICR, V63, P4207, DOI 10.1099/ijs.0.053249-0
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Hale MS, 2006, DEEP-SEA RES PT II, V53, P2231, DOI 10.1016/j.dsr2.2006.05.039
Hamilton AK, 2008, LIMNOL OCEANOGR, V53, P922, DOI 10.4319/lo.2008.53.3.0922
Han D, 2015, DEEP-SEA RES PT II, V120, P52, DOI 10.1016/j.dsr2.2015.01.018
Han D, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0086887
HOBBIE JE, 1977, APPL ENVIRON MICROB, V33, P1225, DOI 10.1128/AEM.33.5.1225-1228.1977
Holmes RM, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2001GB001849
Hooper DU, 2005, ECOL MONOGR, V75, P3, DOI 10.1890/04-0922
Hoppe HG, 2002, NATURE, V416, P168, DOI 10.1038/416168a
Howarth RW, 2006, LIMNOL OCEANOGR, V51, P364, DOI 10.4319/lo.2006.51.1_part_2.0364
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Li WKW, 2001, CYTOMETRY, V44, P236, DOI 10.1002/1097-0320(20010701)44:3<236::AID-CYTO1116>3.0.CO;2-5
Li Y, 2016, ACTA OCEANOL SIN, V35, P78, DOI 10.1007/s13131-015-0742-4
Luo HW, 2014, ISME J, V8, P1428, DOI 10.1038/ismej.2013.248
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Matsuoka A, 2012, BIOGEOSCIENCES, V9, P925, DOI 10.5194/bg-9-925-2012
Matz C, 2003, MICROB ECOL, V45, P384, DOI 10.1007/s00248-003-2000-0
McBean GA., 2005, ARCTIC CLIMATE IMPAC
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murphy EJ, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.1646
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nixon SW, 1995, BIOGEOCHEMISTRY, V31, P15
Oksanen J., 2013, PACKAGE VEGAN COMMUN
Ortega-Retuerta E, 2013, BIOGEOSCIENCES, V10, P2747, DOI 10.5194/bg-10-2747-2013
Ortmann AC, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw133
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
PIELOU E C, 1969, P286
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Sapp M, 2007, FEMS MICROBIOL ECOL, V59, P622, DOI 10.1111/j.1574-6941.2006.00238.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Shannon C.E., 1949, The mathematical theory of communication
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
SpencerCervato C, 1997, MAR MICROPALEONTOL, V30, P267, DOI 10.1016/S0377-8398(97)00004-2
Sperling M, 2012, AQUAT MICROB ECOL, V67, P25, DOI 10.3354/ame01580
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
Taniguchi A, 2008, ENVIRON MICROBIOL, V10, P1007, DOI 10.1111/j.1462-2920.2007.01521.x
Tatusova T, 2014, NUCLEIC ACIDS RES, V42, pD553, DOI 10.1093/nar/gkt1274
Vallières C, 2008, J MARINE SYST, V74, P756, DOI 10.1016/j.jmarsys.2007.12.002
Varaljay VA, 2012, APPL ENVIRON MICROB, V78, P2775, DOI 10.1128/AEM.07559-11
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wassmann P, 2011, GLOBAL CHANGE BIOL, V17, P1235, DOI 10.1111/j.1365-2486.2010.02311.x
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
Yao DH, 2011, ENVIRON MICROBIOL, V13, P1032, DOI 10.1111/j.1462-2920.2010.02408.x
Yue JC, 2005, COMMUN STAT-THEOR M, V34, P2123, DOI 10.1080/STA-200066418
Zeng YX, 2013, ANTON LEEUW INT J G, V103, P1309, DOI 10.1007/s10482-013-9912-6
Zeng YX, 2013, ACTA OCEANOL SIN, V32, P66, DOI 10.1007/s13131-013-0271-y
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 102
TC 8
Z9 9
PD OCT
PY 2019
VL 7
IS 10
AR 385
DI 10.3390/microorganisms7100385
UT WOS:000498223100014
DA 2025-07-30
ER
PT J
AU Cottrell, MT
Kirchman, DL
AF Cottrell, Matthew T.
Kirchman, David L.
TI Transcriptional Control in Marine Copiotrophic and Oligotrophic Bacteria
with Streamlined Genomes
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Bacteria often respond to environmental stimuli using transcriptional control, but this may not be the case for marine bacteria such as "Candidatus Pelagibacter ubique," a cultivated representative of the SAR11 clade, the most abundant organism in the ocean. This bacterium has a small, streamlined genome and an unusually low number of transcriptional regulators, suggesting that transcriptional control is low in Pelagibacter and limits its response to environmental conditions. Transcriptome sequencing during batch culture growth revealed that only 0.1% of protein-encoding genes appear to be under transcriptional control in Pelagibacter and in another oligotroph (SAR92) whereas >10% of genes were under transcriptional control in the copiotrophs Polaribacter sp. strain MED152 and Ruegeria pomeroyi. When growth levels changed, transcript levels remained steady in Pelagibacter and SAR92 but shifted in MED152 and R. pomeroyi. Transcript abundances per cell, determined using an internal RNA sequencing standard, were low (<1 transcript per cell) for all but a few of the most highly transcribed genes in all four taxa, and there was no correlation between transcript abundances per cell and shifts in the levels of transcription. These results suggest that low transcriptional control contributes to the success of Pelagibacter and possibly other oligotrophic microbes that dominate microbial communities in the oceans.
C1 [Cottrell, Matthew T.; Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Anders S, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-10-r106
[Anonymous], GENOME BIOL
Asakura H, 2007, ENVIRON MICROBIOL, V9, P869, DOI 10.1111/j.1462-2920.2006.01206.x
Aylward FO, 2015, P NATL ACAD SCI USA, V112, P5443, DOI 10.1073/pnas.1502883112
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bernstein JA, 2002, P NATL ACAD SCI USA, V99, P9697, DOI 10.1073/pnas.112318199
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Delpin MW, 2009, ISME J, V3, P1053, DOI 10.1038/ismej.2009.54
Fagerbakke KM, 1996, AQUAT MICROB ECOL, V10, P15, DOI 10.3354/ame010015
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
He SM, 2010, NAT METHODS, V7, P807, DOI [10.1038/NMETH.1507, 10.1038/nmeth.1507]
Ingraham J.L., 1983, GROWTH BACTERIAL CEL
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
KRAMER JG, 1992, APPL ENVIRON MICROB, V58, P201, DOI 10.1128/AEM.58.1.201-207.1992
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lynch M, 2003, SCIENCE, V302, P1401, DOI 10.1126/science.1089370
Lynch M, 2006, ANNU REV MICROBIOL, V60, P327, DOI 10.1146/annurev.micro.60.080805.142300
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moran MA, 2013, ISME J, V7, P237, DOI 10.1038/ismej.2012.94
Morris AR, 2010, ENVIRON MICROBIOL, V12, P2051, DOI 10.1111/j.1462-2920.2010.02269.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mortazavi A, 2008, NAT METHODS, V5, P621, DOI 10.1038/nmeth.1226
Neidhardt F., 1996, ESCHERICHIA COLI SAL, P13
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Ptashne M., 2002, Genes and Signals
Satinsky BM, 2013, METHOD ENZYMOL, V531, P237, DOI 10.1016/B978-0-12-407863-5.00012-5
Schut F, 1997, AQUAT MICROB ECOL, V12, P177, DOI 10.3354/ame012177
Selinger DW, 2003, GENOME RES, V13, P216, DOI 10.1101/gr.912603
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Steglich C, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-5-r54
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Stock AM, 2000, ANNU REV BIOCHEM, V69, P183, DOI 10.1146/annurev.biochem.69.1.183
Taniguchi Y, 2010, SCIENCE, V329, P533, DOI 10.1126/science.1188308
Thiele S, 2015, APPL ENVIRON MICROB, V81, P1463, DOI 10.1128/AEM.02570-14
Tjaden B, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-014-0572-2
Walker G.C., 1996, Escherichia coli and Salmonella
Wear EK, 2015, LIMNOL OCEANOGR, V60, P657, DOI 10.1002/lno.10042
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 52
TC 39
Z9 45
PD OCT
PY 2016
VL 82
IS 19
BP 6010
EP 6018
DI 10.1128/AEM.01299-16
UT WOS:000384048700028
DA 2025-07-30
ER
PT J
AU Alonso-Sáez, L
Balagué, V
Sà, EL
Sánchez, O
González, JM
Pinhassi, J
Massana, R
Pernthaler, J
Pedrós-Alió, C
Gasol, JM
AF Alonso-Saez, Laura
Balague, Vanessa
Sa, Elisabet L.
Sanchez, Olga
Gonzalez, Jose M.
Pinhassi, Jarone
Massana, Ramon
Pernthaler, Jakob
Pedros-Alio, Carlos
Gasol, Josep M.
TI Seasonality in bacterial diversity in north-west Mediterranean coastal
waters:: assessment through clone libraries, fingerprinting and FISH
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB We combined denaturing gradient gel electrophoresis (DGGE), catalysed reporter deposition-FISH (CARD-FISH) and clone libraries to investigate the seasonality of the bacterial assemblage composition in north-west Mediterranean coastal waters. DGGE analysis indicated that bacterial diversity changed gradually throughout the year, although with a clear distinction of the summer period. Alphaproteobacteria were the dominant group on an annual basis [29% of the DAPI (4',6-diamidino-2-phenylindole) counts by CARD-FISH, and 70% of the bacterial clones]. The SAR11 clade was most abundant during spring and summer (> 20% of DAPI counts), while the Roseobacter clade was abundant primarily in winter and spring (up to 7% of DAPI counts). The phylum Bacteroidetes constituted the second most important group and was quantitatively uniform throughout the year (average 11% of the DAPI counts). Gammaproteobacteria showed a peak during summer (8% of DAPI counts), when most of them belonged to the NOR5 cluster. Clone libraries and CARD-FISH showed reasonable agreement in the quantitative proportions of Bacteroidetes and Gammaproteobacteria, but Alphaproteobacteria were overrepresented in clone libraries. Sequencing of the most predominant DGGE bands failed to detect the SAR11 group despite their high abundance. The combination of the three molecular approaches allowed a comprehensive assessment of seasonal changes in bacterial diversity.
C1 CSIC, CMIMA, Inst Ciencias Mar, Dept Biol Marina Oceanog, E-08003 Barcelona, Spain.
Univ Autonoma Barcelona, Dept Genet & Microbiol, Bellaterra, Catalunya, Spain.
Univ La Laguna, Dept Microbiol, San Cristobal la Laguna, Tenerife, Spain.
Univ Kalmar, Dept Biol & Environm Sci, Kalmar, Sweden.
Univ Zurich, Inst Plant Biol, Limnol Sect, Zurich, Switzerland.
RP Alonso-Sáez, L (corresponding author), CSIC, CMIMA, Inst Ciencias Mar, Dept Biol Marina Oceanog, E-08003 Barcelona, Spain.
EM lalonso@icm.csic.es
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], 1997, THESIS TU MUNCHEN MU
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Castle D, 2004, LIMNOL OCEANOGR-METH, V2, P303, DOI 10.4319/lom.2004.2.303
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
CHAO A, 1984, SCAND J STAT, V11, P265
CHAO A, 1993, BIOMETRIKA, V80, P193, DOI 10.1093/biomet/80.1.193
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Díez B, 2001, APPL ENVIRON MICROB, V67, P2942, DOI 10.1128/AEM.67.7.2942-2951.2001
DUTTON CM, 1993, NUCLEIC ACIDS RES, V21, P2953, DOI 10.1093/nar/21.12.2953
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Ferrera I, 2004, APPL MICROBIOL BIOT, V64, P726, DOI [10.1007/s00253-004-1582-x, 10.1007/s00253-004-1581-y]
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Kemp PF, 2004, LIMNOL OCEANOGR-METH, V2, P114, DOI 10.4319/lom.2004.2.114
LEE SM, 1994, BIOMETRICS, V50, P88, DOI 10.2307/2533199
Ludwig W, 1998, ELECTROPHORESIS, V19, P554, DOI 10.1002/elps.1150190416
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Masó M, 1991, J MARINE SYST, V1, P441, DOI 10.1016/0924-7963(91)90008-I
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pernthaler J, 2005, MICROBIOL MOL BIOL R, V69, P440, DOI 10.1128/MMBR.69.3.440-461.2005
Pernthaler J, 2003, APPL ENVIRON MICROB, V69, P2631, DOI 10.1128/AEM.69.5.2631-2637.2003
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Posada D, 1998, BIOINFORMATICS, V14, P817, DOI 10.1093/bioinformatics/14.9.817
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Schauer M, 2000, FEMS MICROBIOL ECOL, V33, P51, DOI 10.1016/S0168-6496(00)00043-X
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Swofford D. L., 2003, PAUP PHYLOGENETIC AN
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 60
TC 183
Z9 195
PD APR
PY 2007
VL 60
IS 1
BP 98
EP 112
DI 10.1111/j.1574-6941.2006.00276.x
UT WOS:000244883800010
DA 2025-07-30
ER
PT J
AU Ghai, R
Martin-Cuadrado, AB
Molto, AG
Heredia, IG
Cabrera, R
Martin, J
Verdú, M
Deschamps, P
Moreira, D
López-García, P
Mira, A
Rodriguez-Valera, F
AF Ghai, Rohit
Martin-Cuadrado, Ana-Belen
Gonzaga Molto, Aitor
Garcia Heredia, Inmaculada
Cabrera, Raul
Martin, Javier
Verdu, Miguel
Deschamps, Philippe
Moreira, David
Lopez-Garcia, Purificacion
Mira, Alex
Rodriguez-Valera, Francisco
TI Metagenome of the Mediterranean deep chlorophyll maximum studied by
direct and fosmid library 454 pyrosequencing
SO ISME JOURNAL
DT Article
AB The deep chlorophyll maximum (DCM) is a zone of maximal photosynthetic activity, generally located toward the base of the photic zone in lakes and oceans. In the tropical waters, this is a permanent feature, but in the Mediterranean and other temperate waters, the DCM is a seasonal phenomenon. The metagenome from a single sample of a mature Mediterranean DCM community has been 454 pyrosequenced both directly and after cloning in fosmids. This study is the first to be carried out at this sequencing depth (ca. 600 Mb combining direct and fosmid sequencing) at any DCM. Our results indicate a microbial community massively dominated by the high-light-adapted Prochlorococcus marinus subsp. pastoris, Synechococcus sp., and the heterotroph Candidatus Pelagibacter. The sequences retrieved were remarkably similar to the existing genome of P. marinus subsp. pastoris with a nucleotide identity over 98%. Besides, we found a large number of cyanophages that could prey on this microbe, although sequence conservation was much lower. The high abundance of phage sequences in the cellular size fraction indicated a remarkably high proportion of cells suffering phage lytic attack. In addition, several fosmids clearly belonging to Group II Euryarchaeota were retrieved and recruited many fragments from the total direct DNA sequencing suggesting that this group might be quite abundant in this habitat. The comparison between the direct and fosmids sequencing revealed a bias in the fosmid libraries against low-GC DNA and specifically against the two most dominant members of the community, Candidatus Pelagibacter and P. marinus subsp. pastoris, thus unexpectedly providing a feasible method to obtain large genomic fragments from other less prevalent members of this community. The ISME Journal (2010) 4, 1154-1166; doi: 10.1038/ismej.2010.44; published online 15 April 2010
C1 [Ghai, Rohit; Martin-Cuadrado, Ana-Belen; Gonzaga Molto, Aitor; Garcia Heredia, Inmaculada; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Alicante 03350, Spain.
[Cabrera, Raul; Mira, Alex] Ctr Super Invest Salud Publ, Dept Genom & Hlth, Valencia, Spain.
[Martin, Javier; Verdu, Miguel] Mediterraneo Serv Marinos SL, Alicante, Spain.
[Deschamps, Philippe; Moreira, David; Lopez-Garcia, Purificacion] Univ Paris 11, CNRS, UMR8079, Unite Ecol Systemat & Evolut, F-91405 Orsay, France.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18 San Juan Alicante, Alicante 03350, Spain.
EM frvalera@umh.es
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
Brockhurst Michael A., 2006, BMC Ecology, V6, P19, DOI 10.1186/1472-6785-6-19
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
ESTRADA M, 1993, MAR ECOL PROG SER, V92, P289, DOI 10.3354/meps092289
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Feingersch R, 2009, ISME J, V3, P1117, DOI 10.1038/ismej.2009.80
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Garczarek L, 2007, FEMS MICROBIOL ECOL, V60, P189, DOI 10.1111/j.1574-6941.2007.00297.x
Gomez-Alvarez V, 2009, ISME J, V3, P1314, DOI 10.1038/ismej.2009.72
Harismendy O, 2009, GENOME BIOL, V10, DOI 10.1186/gb-2009-10-3-r32
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Jobb G, 2004, BMC EVOL BIOL, V4, DOI 10.1186/1471-2148-4-18
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
Kvint K, 2003, CURR OPIN MICROBIOL, V6, P140, DOI 10.1016/S1369-5274(03)00025-0
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Martin-Cuadrado AB, 2008, ISME J, V2, P865, DOI 10.1038/ismej.2008.40
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martin-Cuadrado AB, 2009, APPL ENVIRON MICROB, V75, P7436, DOI 10.1128/AEM.01283-09
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Noguchi H, 2008, DNA RES, V15, P387, DOI 10.1093/dnares/dsn027
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Reysenbach AL, 2008, GEOBIOLOGY, V6, P331, DOI 10.1111/j.1472-4669.2008.00152.x
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Sorek R, 2007, SCIENCE, V318, P1449, DOI 10.1126/science.1147112
Sullivan MB, 2006, PLOS BIOL, V4, P1344, DOI 10.1371/journal.pbio.0040234
Temperton B, 2009, ISME J, V3, P792, DOI 10.1038/ismej.2009.32
Vaulot D, 2008, FEMS MICROBIOL REV, V32, P795, DOI 10.1111/j.1574-6976.2008.00121.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
NR 37
TC 97
Z9 104
PD SEP
PY 2010
VL 4
IS 9
BP 1154
EP 1166
DI 10.1038/ismej.2010.44
UT WOS:000281663700014
DA 2025-07-30
ER
PT J
AU Quéméneur, M
Hassen, MB
Armougom, F
Khammeri, Y
Lajnef, R
Bellaaj-Zouari, A
AF Quemeneur, Marianne
Bel Hassen, Malika
Armougom, Fabrice
Khammeri, Yosra
Lajnef, Rim
Bellaaj-Zouari, Amel
TI Prokaryotic Diversity and Distribution Along Physical and Nutrient
Gradients in the Tunisian Coastal Waters (South Mediterranean Sea)
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Prokaryotes play an important role in biogeochemical cycling in marine ecosystems, but little is known about their diversity and composition, and how they may contribute to the ecological functioning of coastal areas in the South Mediterranean Sea. This study investigated bacterial and archaeal community diversity in seawater samples along the Tunisian coast subject to important physicochemical disturbances. The 16S amplicon sequencing survey revealed higher prokaryotic diversity in the northern Tunisian bays than in southeastern waters (Gulf of Gabes). The major taxonomic groups identified in all samples were Alphaproteobacteria (40.9%), Gammaproteobacteria (18.7%), Marine Group II Euryarchaeota (11.3%), and Cyanobacteria (10.9%). Among them, the relative abundance of Alteromonadales, Prochlorococcus, and some clades of Pelagibacterales (SAR11) significantly differed between the northern and the southern bays, whereas no difference was observed across coastal waters in the archaeal Candidatus Poseidoniales (MGII), Synechococcus, and Pelagibacteraceae (SAR11 clade Ia), for which no relationship was observed with the environmental variables. Both Pseudoalteromonas and Alteromonas levels increased with the increasing salinity, density and nutrients (NH4+ and/or PO43-) gradients detected toward the southern waters, while the SAR11 clades Ib and IV and Prochlorococcus, decreased in the shallow, salty and nutrient-rich coastal waters of the Gulf of Gabes. Rhodobacteraceae was positively correlated with Synechococcus and chlorophyll levels, suggesting a relationship with phytoplankton biomass. The present study provides the first insights into planktonic prokaryotic community composition in the South Mediterranean Sea through the analysis of Tunisian seawaters, which may support further investigations on the role of bacterioplankton in the biogeochemistry of these ecosystems.
C1 [Quemeneur, Marianne; Armougom, Fabrice] Univ Toulon & Var, Aix Marseille Univ, CNRS, IRD,MIO UM 110,Mediterranean Inst Oceanog, Marseille, France.
[Bel Hassen, Malika; Khammeri, Yosra; Lajnef, Rim; Bellaaj-Zouari, Amel] Inst Natl Sci & Technol Mer, Tunis, Tunisia.
RP Quéméneur, M (corresponding author), Univ Toulon & Var, Aix Marseille Univ, CNRS, IRD,MIO UM 110,Mediterranean Inst Oceanog, Marseille, France.
EM marianne.quemeneur@ird.fr
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Amils R., 2014, ENCY ASTROBIOLOGY
Anandan R., 2016, WIRELESS COMMUNICATI, DOI DOI 10.5772/62329
Ayata SD, 2018, PROG OCEANOGR, V163, P7, DOI 10.1016/j.pocean.2017.09.016
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bao P, 2018, SCI TOTAL ENVIRON, V613, P398, DOI 10.1016/j.scitotenv.2017.09.062
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Béjaoui B, 2019, ESTUAR COAST SHELF S, V219, P395, DOI 10.1016/j.ecss.2019.01.006
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chifflet S, 2019, AIMS ENVIRON SCI, V6, P277, DOI 10.3934/environsci.2019.4.277
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Coll M, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011842
Cotner JB, 2002, ECOSYSTEMS, V5, P105, DOI 10.1007/s10021-001-0059-3
Dowd SE, 2008, BMC MICROBIOL, V8, DOI [10.1186/1471-2180-8-125, 10.1186/1471-2180-8-43]
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Estrada M, 2014, MEDITERRANEAN SEA: ITS HISTORY AND PRESENT CHALLENGES, P87, DOI 10.1007/978-94-007-6704-1_6
Evans C, 2015, PROG OCEANOGR, V135, P139, DOI 10.1016/j.pocean.2015.04.014
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
Flemming HC, 2019, NAT REV MICROBIOL, V17, P247, DOI 10.1038/s41579-019-0158-9
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haber M., 2020, MICROBIAL COMMUNITIE, DOI [10.1101/2020.04.17.044305, DOI 10.1101/2020.04.17.044305]
Hamdi I, 2015, CONT SHELF RES, V93, P27, DOI 10.1016/j.csr.2014.10.002
Hassen MB, 2009, J MARINE SYST, V75, P216, DOI 10.1016/j.jmarsys.2008.09.004
Hassen MB, 2009, ESTUAR COAST SHELF S, V83, P296, DOI 10.1016/j.ecss.2009.04.002
Hazan O, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00001
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Holmström C, 1999, FEMS MICROBIOL ECOL, V30, P285, DOI 10.1111/j.1574-6941.1999.tb00656.x
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Khammeri Y, 2020, J SEA RES, V158, DOI 10.1016/j.seares.2020.101875
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Li M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9933
Liu JW, 2010, AQUAT MICROB ECOL, V61, P291, DOI 10.3354/ame01446
Liu ST, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-019-57189-x
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Massana R, 2004, FEMS MICROBIOL ECOL, V50, P231, DOI 10.1016/j.femsec.2004.07.001
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mella-Flores Daniella, 2012, Front Microbiol, V3, P285
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Oksanen, 2022, VEGAN COMMUNITY ECOL
Oren A, 2004, PHILOS T R SOC B, V359, P623, DOI 10.1098/rstb.2003.1458
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Partensky F., 1999, MARINE CYANOBACTERIA, V19, P457, DOI DOI 10.1525/BIO.2011.61.10.3
Pereira O, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.852
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rekik A, 2014, MAR POLLUT BULL, V84, P280, DOI 10.1016/j.marpolbul.2014.05.003
Richa K, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.00494-17
Rinke C, 2019, ISME J, V13, P663, DOI 10.1038/s41396-018-0282-y
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Santic D, 2011, ACTA ADRIAT, V52, P101
Santoro AE, 2019, ANNU REV MAR SCI, V11, P131, DOI [10.1146/annurev-marine-121916063141, 10.1146/annurev-marine-121916-063141]
Shannon C.E., 1949, The Mathematical Theory of Information, P97
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Shively JM, 2001, CURR OPIN MICROBIOL, V4, P301, DOI 10.1016/S1369-5274(00)00207-1
SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Takahashi S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105592
TAMURA K, 1993, MOL BIOL EVOL, V10, P512, DOI 10.1093/oxfordjournals.molbev.a040023
Techtmann SM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0120605
Thomas T, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003252
Tully BJ, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-07840-4
van den Engh GJ, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00359
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
Zehr JP, 2011, ANNU REV MAR SCI, V3, P197, DOI 10.1146/annurev-marine-120709-142819
Zhou MY, 2009, MICROB ECOL, V58, P582, DOI 10.1007/s00248-009-9506-z
Zouari AB, 2018, AQUAT MICROB ECOL, V81, P37, DOI 10.3354/ame01857
Zouch H, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03103
Zouch H, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01583
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 88
TC 13
Z9 14
PD DEC 1
PY 2020
VL 11
AR 593540
DI 10.3389/fmicb.2020.593540
UT WOS:000598460800001
DA 2025-07-30
ER
PT J
AU Thiele, S
Vader, A
Ovreås, L
AF Thiele, Stefan
Vader, Anna
ovreas, Lise
TI The mystery of the ice cold rose-Microbiome of an Arctic winter frost
flower
SO MICROBIOLOGYOPEN
DT Editorial Material
AB Under very cold conditions, delicate ice-crystal structures called frost flowers emerge on the surface of newly formed sea ice. These understudied, ephemeral structures include saline brine, organic material, inorganic nutrients, and bacterial and archaeal communities in their brine channels. Hitherto, only a few frost flowers have been studied during spring and these have been reported to be dominated by Rhizobia or members of the SAR11 clade. Here we report on the microbiome of frost flowers sampled during the winter and polar night in the Barents Sea. There was a distinct difference in community profile between the extracted DNA and RNA, but both were dominated by members of the SAR11 clade (78% relative abundance and 41.5% relative activity). The data further suggested the abundance and activity of Cand. Nitrosopumilus, Nitrospinia, and Nitrosomonas. Combined with the inference of marker genes based on the 16S rRNA gene data, this indicates that sulfur and nitrogen cycling are likely the major metabolism in these ephemeral structures.
C1 [Thiele, Stefan; ovreas, Lise] Univ Bergen, Dept Biol Sci, Bergen, Norway.
[Thiele, Stefan; ovreas, Lise] Bjerknes Ctr Climate Res, Polar Climate Res Grp, Bergen, Norway.
[Vader, Anna; ovreas, Lise] Univ Ctr Svalbard UNIS, Dept Arctic Biol, Longyearbyen, Norway.
RP Thiele, S (corresponding author), Univ Bergen, Dept Biol Sci, Thormohlensgate 53 A-B, N-5020 Bergen, Norway.
EM stefan.thiele@uib.no
CR Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Barber DG, 2014, J GEOPHYS RES-ATMOS, V119, P11593, DOI 10.1002/2014JD021736
Beine H, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016650
Bowman JS, 2013, ENV MICROBIOL REP, V5, P575, DOI 10.1111/1758-2229.12047
Bowman JS, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043020
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cantera JJL, 2007, ENVIRON MICROBIOL, V9, P765, DOI 10.1111/j.1462-2920.2006.01198.x
Douglas GM, 2020, NAT BIOTECHNOL, V38, P685, DOI 10.1038/s41587-020-0548-6
Douglas TA, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016460
Eronen-Rasimus E, 2014, MICROBIOLOGYOPEN, V3, P139, DOI 10.1002/mbo3.157
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
KOOPS HP, 1991, J GEN MICROBIOL, V137, P1689, DOI 10.1099/00221287-137-7-1689
Krembs C, 2000, J EXP MAR BIOL ECOL, V243, P55, DOI 10.1016/S0022-0981(99)00111-2
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Mazerolle M., 2014, AICCMODAVG MODEL SEL
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Merbt SN, 2012, FEMS MICROBIOL LETT, V327, P41, DOI 10.1111/j.1574-6968.2011.02457.x
Meyer B, 2007, APPL ENVIRON MICROB, V73, P7664, DOI 10.1128/AEM.01272-07
Mortazavi R, 2015, ATMOS CHEM PHYS, V15, P6183, DOI 10.5194/acp-15-6183-2015
Oksanen, 2022, VEGAN COMMUNITY ECOL
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paradis E, 2019, BIOINFORMATICS, V35, P526, DOI 10.1093/bioinformatics/bty633
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R.C. Team, 2022, A language and environment for statistical computing
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thiele S, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10081618
Thiele S, 2017, MAR GENOM, V32, P61, DOI 10.1016/j.margen.2016.12.003
Wickham H., 2019, J OPEN SOURCE SOFTWA, V4, P1686, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
NR 32
TC 0
Z9 0
PD FEB
PY 2023
VL 12
IS 1
AR e1345
DI 10.1002/mbo3.1345
UT WOS:000929883400001
DA 2025-07-30
ER
PT J
AU Giovannoni, S
Temperton, B
Zhao, YL
AF Giovannoni, Stephen
Temperton, Ben
Zhao, Yanlin
TI SAR11 viruses and defensive host strains reply
SO NATURE
DT Letter
C1 [Giovannoni, Stephen; Temperton, Ben; Zhao, Yanlin] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, S (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Lennon JT, 2007, ISME J, V1, P300, DOI 10.1038/ismej.2007.37
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 11
TC 22
Z9 22
PD JUL 25
PY 2013
VL 499
IS 7459
BP E4
EP E5
DI 10.1038/nature12388
UT WOS:000322157900002
DA 2025-07-30
ER
PT J
AU Martinez-Garcia, M
Brazel, D
Poulton, NJ
Swan, BK
Gomez, ML
Masland, D
Sieracki, ME
Stepanauskas, R
AF Martinez-Garcia, Manuel
Brazel, David
Poulton, Nicole J.
Swan, Brandon K.
Gomez, Monica Lluesma
Masland, Dashiell
Sieracki, Michael E.
Stepanauskas, Ramunas
TI Unveiling in situ interactions between marine protists and
bacteria through single cell sequencing
SO ISME JOURNAL
DT Article
AB Heterotrophic protists are a highly diverse and biogeochemically significant component of marine ecosystems, yet little is known about their species-specific prey preferences and symbiotic interactions in situ. Here we demonstrate how these previously unresolved questions can be addressed by sequencing the eukaryote and bacterial SSU rRNA genes from individual, uncultured protist cells collected from their natural marine environment and sorted by flow cytometry. We detected Pelagibacter ubique in association with a MAST-4 protist, an actinobacterium in association with a chrysophyte and three bacteroidetes in association with diverse protist groups. The presence of identical phylotypes among the putative prey and the free bacterioplankton in the same sample provides evidence for predator-prey interactions. Our results also suggest a discovery of novel symbionts, distantly related to Rickettsiales and the candidate divisions ZB3 and TG2, associated with Cercozoa and Chrysophyta cells. This study demonstrates the power of single cell sequencing to untangle ecological interactions between uncultured protists and prokaryotes. The ISME Journal (2012) 6, 703-707; doi: 10.1038/ismej.2011.126; published online 22 September 2011
C1 [Martinez-Garcia, Manuel; Brazel, David; Poulton, Nicole J.; Swan, Brandon K.; Gomez, Monica Lluesma; Masland, Dashiell; Sieracki, Michael E.; Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, Single Cell Genom Ctr, W Boothbay Harbor, ME 04575 USA.
[Brazel, David] Colby Coll, Waterville, ME 04901 USA.
RP Stepanauskas, R (corresponding author), Bigelow Lab Ocean Sci, Single Cell Genom Ctr, 180 McKown Point Rd, W Boothbay Harbor, ME 04575 USA.
EM rstepanauskas@bigelow.org
CR Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Ashelford KE, 2006, APPL ENVIRON MICROB, V72, P5734, DOI 10.1128/AEM.00556-06
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
CHESSON J, 1983, ECOLOGY, V64, P1297, DOI 10.2307/1937838
Ferrantini F, 2009, J EUKARYOT MICROBIOL, V56, P119, DOI 10.1111/j.1550-7408.2008.00377.x
Fleming EJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017769
Fu YT, 2003, APPL ENVIRON MICROB, V69, P6848, DOI 10.1128/AEM.69.11.6848-6855.2003
FUHRMAN JA, 1984, SCIENCE, V224, P1257, DOI 10.1126/science.224.4654.1257
Harada A, 2007, PROTIST, V158, P337, DOI 10.1016/j.protis.2007.03.005
Hess M, 2011, SCIENCE, V331, P463, DOI 10.1126/science.1200387
Heywood JL, 2011, ISME J, V5, P674, DOI 10.1038/ismej.2010.155
Jardillier L, 2010, ISME J, V4, P1180, DOI 10.1038/ismej.2010.36
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Jezbera J, 2005, FEMS MICROBIOL ECOL, V52, P351, DOI 10.1016/j.femsec.2004.12.001
Jezbera J, 2006, ENVIRON MICROBIOL, V8, P1330, DOI 10.1111/j.1462-2920.2006.01026.x
Kneip C, 2008, BMC EVOL BIOL, V8, DOI 10.1186/1471-2148-8-30
Massana R, 2004, APPL ENVIRON MICROB, V70, P3528, DOI 10.1128/AEM.70.6.3528-3534.2004
Massana R, 2006, ENVIRON MICROBIOL, V8, P1515, DOI 10.1111/j.1462-2920.2006.01042.x
Massana R, 2009, ISME J, V3, P588, DOI 10.1038/ismej.2008.130
Not F, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007143
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Potvin M, 2009, J EUKARYOT MICROBIOL, V56, P174, DOI 10.1111/j.1550-7408.2008.00386.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rose JM, 2004, AQUAT MICROB ECOL, V34, P263, DOI 10.3354/ame034263
Sapp M, 2007, MICROB ECOL, V53, P683, DOI 10.1007/s00248-006-9162-5
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
Worden AZ, 2006, TRENDS MICROBIOL, V14, P331, DOI 10.1016/j.tim.2006.06.008
Worden ZA, 2008, MICROBIAL ECOLOGY OC
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Zhang K, 2006, NAT BIOTECHNOL, V24, P680, DOI 10.1038/nbt1214
Zubkov MV, 2008, NATURE, V455, P224, DOI 10.1038/nature07236
NR 32
TC 97
Z9 102
PD MAR
PY 2012
VL 6
IS 3
BP 703
EP 707
DI 10.1038/ismej.2011.126
UT WOS:000300883200022
DA 2025-07-30
ER
PT J
AU Feingersch, R
Suzuki, MT
Shmoish, M
Sharon, I
Sabehi, G
Partensky, F
Béjà, O
AF Feingersch, Roi
Suzuki, Marcelino T.
Shmoish, Michael
Sharon, Itai
Sabehi, Gazalah
Partensky, Frederic
Beja, Oded
TI Microbial community genomics in eastern Mediterranean Sea surface waters
SO ISME JOURNAL
DT Article
AB Offshore waters of the eastern Mediterranean Sea are one of the most oligotrophic regions on Earth in which the primary productivity is phosphorus limited. To study the unexplored function and physiology of microbes inhabiting this system, we have analyzed a genomic library from the eastern Mediterranean Sea surface waters by sequencing both termini of nearly 5000 clones. Genome recruitment strategies showed that the majority of high-scoring pairs corresponded to genomes from the Alphaproteobacteria (SAR11-like and Rhodobacterales), Cyanobacteria (Synechococcus and high-light adapted Prochlorococcus) and diverse uncultured Gammaproteobacteria. The community structure observed, as evaluated by both protein similarity scores or metabolic potential, was similar to that found in the euphotic zone of the ALOHA station off Hawaii but very different from that of deep aphotic zones in both the Mediterranean Sea and the Pacific Ocean. In addition, a strong enrichment toward phosphate and phosphonate uptake and utilization metabolism was also observed. The ISME Journal (2010) 4, 78-87; doi:10.1038/ismej.2009.92; published online 20 August 2009
C1 [Feingersch, Roi; Sharon, Itai; Sabehi, Gazalah; Beja, Oded] Technion Israel Inst Technol, Fac Biol, IL-32000 Haifa, Israel.
[Suzuki, Marcelino T.] Univ Maryland, Chesapeake Biol Lab, Ctr Environm Sci, College Pk, MD 20742 USA.
[Shmoish, Michael] Technion Israel Inst Technol, Bioinformat Knowledge Unit, Lorry I Lokey Interdisciplinary Ctr Life Sci & En, IL-32000 Haifa, Israel.
[Sharon, Itai] Technion Israel Inst Technol, Dept Comp Sci, IL-32000 Haifa, Israel.
[Partensky, Frederic] CNRS, Roscoff, France.
[Partensky, Frederic] Univ Paris 06, UMR 7144, Biol Stn, Roscoff, France.
RP Béjà, O (corresponding author), Technion Israel Inst Technol, Fac Biol, IL-32000 Haifa, Israel.
EM beja@techunix.technion.ac.il
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Béjà O, 2004, CURR OPIN BIOTECH, V15, P187, DOI 10.1016/j.copbio.2004.03.005
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
DeLong EE, 2005, NAT REV MICROBIOL, V3, P459, DOI 10.1038/nrmicro1158
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Dufresne A, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-5-r90
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
Fuller NJ, 2006, LIMNOL OCEANOGR, V51, P2515, DOI 10.4319/lo.2006.51.6.2515
Fuller NJ, 2003, APPL ENVIRON MICROB, V69, P2430, DOI 10.1128/AEM.69.5.2430-2443.2003
Fuller NJ, 2005, LIMNOL OCEANOGR, V50, P363, DOI 10.4319/lo.2005.50.1.0363
Garczarek L, 2007, FEMS MICROBIOL ECOL, V60, P189, DOI 10.1111/j.1574-6941.2007.00297.x
Hugenholtz P, 2009, ENVIRON MICROBIOL, V11, P551, DOI 10.1111/j.1462-2920.2009.01888.x
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kim UJ, 1996, GENOMICS, V34, P213, DOI 10.1006/geno.1996.0268
KOGURE K, 1979, CAN J MICROBIOL, V25, P415, DOI 10.1139/m79-063
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
Kyrpides NC, 2009, NAT BIOTECHNOL, V27, P627, DOI 10.1038/nbt.1552
Markowitz VM, 2008, NUCLEIC ACIDS RES, V36, pD528, DOI 10.1093/nar/gkm846
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
MAZARD S, 2007, THESIS U WARWICK COV, P273
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Moeseneder MM, 2001, J MICROBIOL METH, V44, P159, DOI 10.1016/S0167-7012(00)00247-5
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nesbo CL, 2005, ENVIRON MICROBIOL, V7, P2011, DOI 10.1111/j.1462-2920.2005.00918.x
Pedrós-Alió C, 2006, INT MICROBIOL, V9, P191
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
SABEHI G, 2007, MOL MICROBIAL ECOLOG, P1863
Shamir R, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-232
SHARON I, 2009, 13 ANN INT C RES COM, P496
Sikorski J, 2005, P NATL ACAD SCI USA, V102, P15924, DOI 10.1073/pnas.0507944102
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Tanaka T, 2007, DEEP-SEA RES PT I, V54, P1721, DOI 10.1016/j.dsr.2007.06.008
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Toledo G, 2003, LIMNOL OCEANOGR, V48, P1744, DOI 10.4319/lo.2003.48.5.1744
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 57
TC 49
Z9 52
PD JAN
PY 2010
VL 4
IS 1
BP 78
EP 87
DI 10.1038/ismej.2009.92
UT WOS:000273350200007
DA 2025-07-30
ER
PT J
AU Henson, MW
Thrash, JC
AF Henson, Michael W.
Thrash, J. Cameron
TI Microbial ecology of northern Gulf of Mexico estuarine waters
SO MSYSTEMS
DT Article
AB Estuarine and coastal ecosystems are of high economic and ecological importance, owing to their diverse communities and the disproportionate role they play in carbon cycling, particularly in carbon sequestration. Organisms inhabiting these environments must overcome strong natural fluctuations in salinity, nutrients, and turbidity, as well as numerous climate change-induced disturbances such as land loss, sea level rise, and, in some locations, increasingly severe tropical cyclones that threaten to disrupt future ecosystem health. The northern Gulf of Mexico (nGoM) along the Louisiana coast contains dozens of estuaries, including the Mississippi-Atchafalaya River outflow, which dramatically influence the region due to their vast upstream watershed. Nevertheless, the microbiology of these estuaries and surrounding coastal environments has received little attention. To improve our understanding of microbial ecology in the understudied coastal nGoM, we conducted a 16S rRNA gene amplicon survey at eight sites and multiple time points along the Louisiana coast and one inland swamp spanning freshwater to high brackish salinities, totaling 47 duplicated Sterivex (0.2-2.7 mu m) and prefilter (>2.7 mu m) samples. We cataloged over 13,000 Amplicon Sequence ariants (ASVs) from common freshwater and marine clades such as SAR11 (Alphaproteobacteria), Synechococcus (Cyanobacteria), and acI and Candidatus Actinomarina (Actinobacteria). We observed correlations with freshwater or marine habitats in many organisms and characterized a group of taxa with specialized distributions across brackish water sites, supporting the hypothesis of an endogenous brackish-water community. Additionally, we observed brackish-water associations for several aquatic clades typically considered marine or freshwater taxa, such as SAR11 subclade II, SAR324, and the acI Actinobacteria. The data presented here expand the geographic coverage of microbial ecology in estuarine communities, help delineate the native and transitory members of these environments, and provide critical aquatic microbiological baseline data for coastal and estuarine sites in the nGoM.
C1 [Henson, Michael W.] Northern Univ, Dept Biol Sci, De Kalb, IL 60115 USA.
[Thrash, J. Cameron] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
RP Henson, MW (corresponding author), Northern Univ, Dept Biol Sci, De Kalb, IL 60115 USA.; Thrash, JC (corresponding author), Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
EM mhenson@niu.edu; thrash@usc.edu
CR Adams CM, 2004, OCEAN COAST MANAGE, V47, P565, DOI 10.1016/j.ocecoaman.2004.12.002
Ahlmann-Eltze C, 2021, Ggsignif: R package for displaying significance brackets for Ggplot2, DOI DOI 10.31234/OSF.IO/7AWM6
Al-Saud S, 2020, MICROBIOL RESOUR ANN, V9, DOI 10.1128/MRA.01118-20
Anderson DM, 2009, OCEAN COAST MANAGE, V52, P342, DOI 10.1016/j.ocecoaman.2009.04.006
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Backer LC, 2002, LAKE RESERV MANAGE, V18, P20, DOI 10.1080/07438140209353926
Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
Bauer JE, 2013, NATURE, V504, P61, DOI 10.1038/nature12857
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bianchi T.S., 1999, BIOGEOCHEMISTRY GULF
Boeuf D, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01119-5
Bowman JP., 2011, FAMILY 3 CRYOMORPHAC, VSpringer, P322
Cabello-Yeves PJ, 2022, BMC BIOL, V20, DOI 10.1186/s12915-022-01379-z
Cai HY, 2013, MICROB ECOL, V66, P73, DOI 10.1007/s00248-013-0224-1
Cai WJ, 2011, ANNU REV MAR SCI, V3, P123, DOI 10.1146/annurev-marine-120709-142723
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Callieri C, 2013, FEMS MICROBIOL ECOL, V85, P293, DOI 10.1111/1574-6941.12118
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Campbell BJ., 2022, BIORXIV, DOI [10.1101/2022.05.04.490708, DOI 10.1101/2022.05.04.490708]
Campbell LG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0209055
Carini P, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2016.242
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Carmichael WW, 2001, HUM ECOL RISK ASSESS, V7, P1393, DOI 10.1080/20018091095087
Celepli N, 2017, ENVIRON MICROBIOL, V19, P673, DOI 10.1111/1462-2920.13592
Chaffin JD, 2021, HARMFUL ALGAE, V108, DOI 10.1016/j.hal.2021.102080
Chauhan A, 2009, P NATL ACAD SCI USA, V106, P4301, DOI 10.1073/pnas.0809671106
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Crump BC, 1998, AQUAT MICROB ECOL, V14, P7, DOI 10.3354/ame014007
D'Ambrosio L, 2014, ISME J, V8, P2167, DOI 10.1038/ismej.2014.67
Dodds WK, 2006, FRONT ECOL ENVIRON, V4, P211, DOI 10.1890/1540-9295(2006)004[0211:NATDZT]2.0.CO;2
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Francis B, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00385-y
Garcia NS, 2016, ISME J, V10, P2715, DOI 10.1038/ismej.2016.50
Getz EW, 2023, MSYSTEMS, V8, DOI 10.1128/msystems.00179-23
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Gillies LE, 2015, ENVIRON MICROBIOL, V17, P3847, DOI 10.1111/1462-2920.12853
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haroon MF, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.01711-15
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Henson MW, 2018, LIMNOL OCEANOGR, V63, P1837, DOI 10.1002/lno.10811
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Holmfeldt K, 2009, ENVIRON MICROBIOL, V11, P2042, DOI 10.1111/j.1462-2920.2009.01925.x
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Jurdzinski KT, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adg2059
King GM, 2013, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00438
Lanclos VC, 2023, ISME J, V17, P620, DOI 10.1038/s41396-023-01376-2
Larsson J, 2014, ISME J, V8, P1892, DOI 10.1038/ismej.2014.35
Legendre P., 2013, R PACKAGE, V2, P1
Lennon JT, 2018, MBIO, V9, DOI 10.1128/mBio.00637-18
Li HB, 2012, FEMS MICROBIOL ECOL, V82, P192, DOI 10.1111/j.1574-6941.2012.01417.x
Lindstedt DM, 2005, J COASTAL RES, P162
Liu YY, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138856
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Malfertheiner L, 2022, BIOLOGY-BASEL, V11, DOI 10.3390/biology11040599
Mason OU, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01048
Mason OU, 2012, ISME J, V6, P1715, DOI 10.1038/ismej.2012.59
Mehrshad M, 2016, APPL ENVIRON MICROB, V82, P1599, DOI 10.1128/AEM.03381-15
Michael Elliott., 2019, Coasts and Estuaries: The Future, P1, DOI DOI 10.1016/B978-0-12-814003-1.00001-0
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Mitulla M, 2016, ENVIRON MICROBIOL, V18, P4369, DOI 10.1111/1462-2920.13314
Mohapatra M, 2023, SCI TOTAL ENVIRON, V879, DOI 10.1016/j.scitotenv.2023.163109
Mohapatra M, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.134729
Nicholls RJ, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P315
Nittrouer JA, 2012, NAT GEOSCI, V5, P534, DOI [10.1038/ngeo1525, 10.1038/NGEO1525]
Noirungsee N, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-63190-6
Olapade OA, 2010, CAN J MICROBIOL, V56, P853, DOI [10.1139/W10-069, 10.1139/w10-069]
Olli K, 2023, LIMNOL OCEANOGR LETT, V8, P173, DOI 10.1002/lol2.10242
Olli K, 2019, AM NAT, V194, pE41, DOI 10.1086/703657
OLSON RJ, 1990, LIMNOL OCEANOGR, V35, P45, DOI 10.4319/lo.1990.35.1.0045
Padilla CC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00547
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Paver SF, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00232-18
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rabalais NN, 2002, ANNU REV ECOL SYST, V33, P235, DOI 10.1146/annurev.ecolsys.33.010802.150513
Rabalais NN, 1996, ESTUARIES, V19, P386, DOI 10.2307/1352458
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rasmussen AN, 2021, MICROB ECOL, V81, P601, DOI 10.1007/s00248-020-01621-7
Reed D, 2020, GEOMORPHOLOGY, V352, DOI 10.1016/j.geomorph.2019.106991
Remane A., 1934, Verhandlungen der Deutschen Zoologischen Gesellschaft Leipzig, V37, P34
Remane A, 1971, BIOL BRACKISH WATER, V25
Rohwer RR, 2018, MSPHERE, V3, DOI 10.1128/mSphere.00327-18
Roy ED, 2013, SCI TOTAL ENVIRON, V458, P374, DOI 10.1016/j.scitotenv.2013.04.046
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Satinsky BM, 2017, ISME J, V11, P1852, DOI 10.1038/ismej.2017.46
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Satinsky BM, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-17
Schloss PD, 2023, MICROBIOL RESOUR ANN, V12, DOI 10.1128/mra.01310-22
Thrash JC, 2018, MICROBIOL RESOUR ANN, V7, DOI 10.1128/MRA.01033-18
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Tolar BB, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00072
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vidanage PW, 2020, WATER-SUI, V12, DOI 10.3390/w12020501
Vörösmarty CJ, 2009, B ATOM SCI, V65, P31, DOI 10.2968/065002005
Walsh D.A., 2013, LATERAL GENE TRANSFE, P55
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wang HL, 2020, LIMNOL OCEANOGR, V65, P3032, DOI 10.1002/lno.11572
Wiseman W.J., 1999, Nutrient Enhanced Coastal Ocean Productivity in the Northern Gulf of Mexico -- Understanding the Effects of Nutrients on a Coastal Ecosystem
Xia XM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01254
NR 108
TC 0
Z9 0
PD AUG 20
PY 2024
VL 9
IS 8
DI 10.1128/msystems.01318-23
EA JUL 2024
UT WOS:001268253300003
DA 2025-07-30
ER
PT J
AU Boeuft, D
Lami, R
Cunnington, E
Jeanthon, C
AF Boeuft, Dominique
Lami, Raphael
Cunnington, Emelyne
Jeanthon, Christian
TI Summer Abundance and Distribution of Proteorhodopsin Genes in the
Western Arctic Ocean
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Proteorhodopsins (PR) are phylogenetically diverse and highly expressed proton pumps in marine bacterial communities. The phylogenetic diversity and in situ expression of the main PR groups in polar off-shore, coastal and estuarine waters is poorly known and their abundance has not yet been reported. Here, we show that PR gene sequences of the southern Beaufort Sea including MacKenzie shelf and estuary are mainly affiliated to Gammaproteobacteria, Alphaproteobacteria, and Bacteroidetes. Substantial overlap (78%) between DNA- and cDNA-based librairies indicated in situ PR transcription within a large fraction of PR-containing community. Sets of specific qPCR primers were designed to measure the absolute abundances of the major PR types. Spatial and depth profiles showed that PR-containing bacteria were abundant throughout the photic zone, comprising up to 45% of total bacteria. Although their abundance varied greatly with location and depth, Alphaproteobacteria predominated in the PR community in all water masses, with SAR11 as the major PR type. Low nutrient concentrations rather than light were the environmental drivers that best explained the abundance and distribution of arctic PR types. Together, our data suggests that PR-based phototrophy could be the major phototrophic prokaryotic process during the Arctic Ocean summer.
C1 [Boeuft, Dominique; Cunnington, Emelyne; Jeanthon, Christian] CNRS, UMR Adaptat & Diversite Milieu Marin 7144, Stn Biol, Roscoff, France.
[Boeuft, Dominique; Cunnington, Emelyne; Jeanthon, Christian] UPMC Univ Paris 06, Sorbonne Univ, Stn Biol, UMR Adaptat & Diversite Milieu Marin 7144, Roscoff, France.
[Lami, Raphael] CNRS, USR 3579, Lab Biodiversite & Biotechnol Microbiennes, Banyuls Sur Mer, France.
[Lami, Raphael] UPMC Univ Paris 06, Sorbonne Univ, USR 3579, Observ Oceanol, Banyuls Sur Mer, France.
RP Jeanthon, C (corresponding author), CNRS, UMR Adaptat & Diversite Milieu Marin 7144, Stn Biol, Roscoff, France.; Jeanthon, C (corresponding author), UPMC Univ Paris 06, Sorbonne Univ, Stn Biol, UMR Adaptat & Diversite Milieu Marin 7144, Roscoff, France.
EM jeanthon@sb-roscoff.fr
CR AAGAARD K, 1981, DEEP-SEA RES, V28, P529, DOI 10.1016/0198-0149(81)90115-1
Akram N, 2013, ENVIRON MICROBIOL, V15, P1400, DOI 10.1111/1462-2920.12085
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Balzano S, 2012, ISME J, V6, P1480, DOI 10.1038/ismej.2011.213
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Boeuf D., 2013, THESIS
Boeuf D, 2013, FEMS MICROBIOL ECOL, V85, P417, DOI 10.1111/1574-6941.12130
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Carmack EC, 2002, ARCTIC, V55, P29
Chao A, 2005, ECOL LETT, V8, P148, DOI 10.1111/j.1461-0248.2004.00707.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
Nguyen D, 2015, ISME J, V9, P1835, DOI 10.1038/ismej.2015.1
Drummond A.J., 2012, GENEIOUS V5 6
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
Jung KH, 2003, MOL MICROBIOL, V47, P1513, DOI 10.1046/j.1365-2958.2003.03395.x
Katoh K, 2009, METHODS MOL BIOL, V537, P39, DOI 10.1007/978-1-59745-251-9_3
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Koh EY, 2010, APPL ENVIRON MICROB, V76, P5918, DOI 10.1128/AEM.00562-10
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li WKW, 2009, SCIENCE, V326, P539, DOI 10.1126/science.1179798
Li WKW, 1998, LIMNOL OCEANOGR, V43, P1746, DOI 10.4319/lo.1998.43.7.1746
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Marie D, 2006, FEMS MICROBIOL ECOL, V55, P403, DOI 10.1111/j.1574-6941.2005.00058.x
Matsuoka A, 2012, BIOGEOSCIENCES, V9, P925, DOI 10.5194/bg-9-925-2012
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Ortega-Retuerta E, 2012, POLAR BIOL, V35, P785, DOI 10.1007/s00300-011-1109-8
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
Ronquist F, 2003, BIOINFORMATICS, V19, P1572, DOI 10.1093/bioinformatics/btg180
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shannon C.E., 1949, The mathematical theory of communication
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tremblay JÉ, 2014, BIOGEOSCIENCES, V11, P4853, DOI 10.5194/bg-11-4853-2014
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Yoshizawa S, 2012, ENVIRON MICROBIOL, V14, P1240, DOI 10.1111/j.1462-2920.2012.02702.x
NR 67
TC 9
Z9 9
PD OCT 13
PY 2016
VL 7
AR 1584
DI 10.3389/fmicb.2016.01584
UT WOS:000388524600001
DA 2025-07-30
ER
PT J
AU Kirchman, DL
Cottrel, MT
DiTullio, GR
AF Kirchman, David L.
Cottrel, Matthew T.
DiTullio, Giacomo R.
TI Shaping of bacterial community composition and diversity by
phytoplankton and salinity in the Delaware Estuary, USA
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Our understanding of the impact of phytoplankton on bacterial communities is largely based on studies showing that a few bacteria have interactions with the phytoplankton class, which is often diatoms, dominating phytoplankton communities. To determine the effect of the complete phytoplankton community on the entire bacterial community, we used tag pyro sequences of the 16S rRNA gene and phytoplankton pigments measured by high performance liquid chromatography along with Chemtax analyses to examine bacterial and phytoplankton communities along the salinity gradient of the Delaware Estuary, USA, in August and November of 3 years (2011-2013). Salinity had a large effect on the composition, taxon richness, and evenness of bacterial communities in the estuary, but so too did the composition and biomass of the phytoplankton community. Phytoplankton classes had a larger effect in shaping the composition of bacterial communities than did total chlorophyll a. Although diatoms and cryptophytes dominated the phytoplankton communities in both August and November, less common phytoplankton classes, such as dinoflagellates, haptophytes, and prasinophytes, had more significant relationships with the entire bacterial community and with individual bacterial taxa. In contrast, the 2 most abundant bacterial subclades in the estuary, SAR11 IIIa and SAR 11 IIIb, had few significant relationships with chlorophyll a or with phytoplankton classes. These data on bacterial and phytoplankton community composition help to explain the weak coupling between bacteria and phytoplankton communities often observed in estuarine and other aquatic systems.
C1 [Kirchman, David L.; Cottrel, Matthew T.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
[DiTullio, Giacomo R.] Hollings Marine Lab, Coll Charleston, Charleston, SC 29412 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Aluwihare LI, 1999, MAR ECOL PROG SER, V186, P105, DOI 10.3354/meps186105
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Beja Oded., 2008, Microbial Ecology of the Oceans, VSecond, P131, DOI DOI 10.1002/9780470281840.CH5
Biersmith A, 1998, MAR CHEM, V63, P131, DOI 10.1016/S0304-4203(98)00057-7
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cottrell MT, 2015, AQUAT MICROB ECOL, V76, P175, DOI 10.3354/ame01776
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
Dempster EL, 1999, BIOTECHNIQUES, V27, P66, DOI 10.2144/99271bm13
DiTullio GR, 2005, LIMNOL OCEANOGR, V50, P1887, DOI 10.4319/lo.2005.50.6.1887
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Fandino LB, 2005, AQUAT MICROB ECOL, V40, P251, DOI 10.3354/ame040251
Farnelid HM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00339
Fletcher T.D., 2012, QuantPsyc: Quantitative Psychology Tools (R Package Version 1.5)
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fouilland E, 2011, FEMS MICROBIOL ECOL, V78, P206, DOI 10.1111/j.1574-6941.2011.01170.x
Fox J, 2019, An R companion to applied regression, V3rd
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Higgins H.W., 2011, PHYTOPLANKTON PIGMEN, V6, P257, DOI [10.1017/CBO9780511732263, DOI 10.1017/CBO9780511732263.010]
HOCH MP, 1993, MAR ECOL PROG SER, V98, P283, DOI 10.3354/meps098283
Hu YOO, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00679
James G, 2013, SPRINGER TEXTS STAT, V103, P1, DOI [10.1007/978-1-4614-7138-7, 10.1007/978-1-4614-7138-7_1]
Keller DP, 2014, ESTUAR COAST, V37, P279, DOI 10.1007/s12237-013-9692-2
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Landa M, 2014, ENVIRON MICROBIOL, V16, P1668, DOI 10.1111/1462-2920.12242
Lebeau T, 2003, APPL MICROBIOL BIOT, V60, P624, DOI 10.1007/s00253-002-1177-3
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Lionard M, 2008, ESTUAR COAST SHELF S, V76, P809, DOI 10.1016/j.ecss.2007.08.003
Liu LM, 2014, FEMS MICROBIOL ECOL, V90, P126, DOI 10.1111/1574-6941.12378
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Lucas J, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv099
Mackey MD, 1996, MAR ECOL PROG SER, V144, P265, DOI 10.3354/meps144265
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Oksanen, 2022, VEGAN COMMUNITY ECOL
Osterholz H, 2016, FRONT EARTH SC-SWITZ, V4, DOI 10.3389/feart.2016.00095
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Schabhüttl S, 2013, OECOLOGIA, V171, P527, DOI 10.1007/s00442-012-2419-4
Schlüter L, 2000, MAR ECOL PROG SER, V192, P49, DOI 10.3354/meps192049
Schlüter L, 2014, ENVIRON MONIT ASSESS, V186, P5167, DOI 10.1007/s10661-014-3767-9
Sharp JH, 2009, ESTUAR COAST, V32, P1023, DOI 10.1007/s12237-009-9210-8
Smith B, 1996, OIKOS, V76, P70, DOI 10.2307/3545749
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
Unrein F, 2014, ISME J, V8, P164, DOI 10.1038/ismej.2013.132
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Walsh EA, 2015, AQUAT MICROB ECOL, V75, P1, DOI 10.3354/ame01746
Wang JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027597
Wang XQ, 2015, APPL ENVIRON MICROB, V81, P4607, DOI 10.1128/AEM.00055-15
WATLING L, 1979, MAR BIOL, V52, P207, DOI 10.1007/BF00398134
WHEELER PA, 1986, LIMNOL OCEANOGR, V31, P998, DOI 10.4319/lo.1986.31.5.0998
Yilmaz P, 2012, FEMS MICROBIOL ECOL, V81, P373, DOI 10.1111/j.1574-6941.2012.01357.x
NR 64
TC 19
Z9 25
PY 2016
VL 78
IS 2
BP 93
EP 106
DI 10.3354/ame01805
UT WOS:000394504400003
DA 2025-07-30
ER
PT S
AU Kirchman, DL
AF Kirchman, David L.
BE Carlson, CA
Giovannoni, SJ
TI Growth Rates of Microbes in the Oceans
SO ANNUAL REVIEW OF MARINE SCIENCE, VOL 8
SE Annual Review of Marine Science
DT Review; Book Chapter
AB Amicrobe's growth rate helps to set its ecological success and its contribution to food web dynamics and biogeochemical processes. Growth rates at the community level are constrained by biomass and trophic interactions among bacteria, phytoplankton, and their grazers. Phytoplankton growth rates are approximately 1 d(-1), whereas most heterotrophic bacteria grow slowly, close to 0.1 d(-1); only a few taxa can grow ten times as fast. Data from 16S rRNA and other approaches are used to speculate about the growth rate and the life history strategy of SAR11, the most abundant clade of heterotrophic bacteria in the oceans. These strategies are also explored using genomic data. Although the methods and data are imperfect, the available data can be used to set limits on growth rates and thus on the timescale for changes in the composition and structure of microbial communities.
C1 [Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
AMMERMAN JW, 1984, MAR ECOL PROG SER, V18, P31, DOI 10.3354/meps018031
Anderson TR, 2001, AQUAT MICROB ECOL, V26, P37, DOI 10.3354/ame026037
[Anonymous], 2003, OCEAN BIOGEOCHEMISTR
Beja Oded., 2008, Microbial Ecology of the Oceans, VSecond, P131, DOI DOI 10.1002/9780470281840.CH5
BILLEN G, 1990, HYDROBIOLOGIA, V207, P37, DOI 10.1007/BF00041438
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
Brown SL, 2002, DEEP-SEA RES PT II, V49, P2345, DOI 10.1016/S0967-0645(02)00040-1
Brown SL, 1999, DEEP-SEA RES PT II, V46, P1745, DOI 10.1016/S0967-0645(99)00042-9
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chen BZ, 2010, LIMNOL OCEANOGR, V55, P965, DOI 10.4319/lo.2010.55.3.0965
Chen BZ, 2009, LIMNOL OCEANOGR, V54, P1084, DOI 10.4319/lo.2009.54.4.1084
CHO BC, 1990, MAR ECOL PROG SER, V63, P253, DOI 10.3354/meps063253
Ciotti BJ, 2010, J FISH BIOL, V77, P2181, DOI 10.1111/j.1095-8649.2010.02786.x
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
del Giorgio P.A., 2000, MICROBIAL ECOLOGY OC, P289, DOI DOI 10.1146/ANNUREV.ECOLSYS.29.1.503
del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, V2nd
DeLong JP, 2010, P NATL ACAD SCI USA, V107, P12941, DOI 10.1073/pnas.1007783107
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Ducklow HW, 2012, J MARINE SYST, V98-99, P26, DOI 10.1016/j.jmarsys.2012.03.003
DUCKLOW HW, 1995, DEEP-SEA RES PT II, V42, P621, DOI 10.1016/0967-0645(95)00022-I
Ducklow HW, 1999, FEMS MICROBIOL ECOL, V30, P1, DOI 10.1111/j.1574-6941.1999.tb00630.x
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
FUHRMAN JA, 1980, APPL ENVIRON MICROB, V39, P1085, DOI 10.1128/AEM.39.6.1085-1095.1980
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
GOERICKE R, 1993, DEEP-SEA RES PT I, V40, P2283, DOI 10.1016/0967-0637(93)90104-B
GOLDMAN JC, 1979, NATURE, V279, P210, DOI 10.1038/279210a0
Grebmeier JM, 2005, DEEP-SEA RES PT II, V52, P3109, DOI 10.1016/j.dsr2.2005.10.004
Guo C, 2014, BIOGEOSCIENCES, V11, P1847, DOI 10.5194/bg-11-1847-2014
HAGSTROM A, 1984, MAR ECOL PROG SER, V18, P41, DOI 10.3354/meps018041
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kawasaki N, 2011, AQUAT MICROB ECOL, V62, P165, DOI 10.3354/ame01462
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
Kempes CP, 2012, P NATL ACAD SCI USA, V109, P495, DOI 10.1073/pnas.1115585109
KIRCHMAN D, 1982, APPL ENVIRON MICROB, V44, P1296, DOI 10.1128/AEM.44.6.1296-1307.1982
Kirchman DL, 2014, AQUAT MICROB ECOL, V73, P41, DOI 10.3354/ame01709
Kirchman DL, 2013, ENV MICROBIOL REP, V5, P188, DOI 10.1111/j.1758-2229.2012.00367.x
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
KIRCHMAN DL, 1995, DEEP-SEA RES PT II, V42, P603, DOI 10.1016/0967-0645(95)00021-H
KJELDGAARD NO, 1958, J GEN MICROBIOL, V19, P607, DOI 10.1099/00221287-19-3-607
Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
Koblízek M, 2007, ENVIRON MICROBIOL, V9, P2401, DOI 10.1111/j.1462-2920.2007.01354.x
Koop JHE, 2011, AQUAT ECOL, V45, P547, DOI 10.1007/s10452-011-9375-7
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Landry MR, 2002, DEEP-SEA RES PT II, V49, P2669, DOI 10.1016/S0967-0645(02)00053-X
LANDRY MR, 1982, MAR BIOL, V67, P283, DOI 10.1007/BF00397668
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Laws EA, 2013, ANNU REV MAR SCI, V5, P247, DOI 10.1146/annurev-marine-121211-172258
LIU HB, 1995, MAR ECOL PROG SER, V116, P277, DOI 10.3354/meps116277
Longnecker K, 2006, AQUAT MICROB ECOL, V42, P265, DOI 10.3354/ame042265
Longnecker K, 2010, ENVIRON MICROBIOL, V12, P2773, DOI 10.1111/j.1462-2920.2010.02247.x
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Luo HW, 2014, ISME J, V8, P1428, DOI 10.1038/ismej.2013.248
Lynch MDJ, 2015, NAT REV MICROBIOL, V13, P217, DOI 10.1038/nrmicro3400
Maida I, 2013, GENOME ANNOUNCEMENTS, V1, DOI 10.1128/genomeA.00648-13
Makarieva AM, 2005, P ROY SOC B-BIOL SCI, V272, P2219, DOI 10.1098/rspb.2005.3225
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Marañón E, 2015, ANNU REV MAR SCI, V7, P241, DOI 10.1146/annurev-marine-010814-015955
Marañon E, 2013, ECOL LETT, V16, P371, DOI 10.1111/ele.12052
Marra J, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004087
MOORE LR, 1995, MAR ECOL PROG SER, V116, P259, DOI 10.3354/meps116259
MOREL A, 1993, J MAR RES, V51, P617, DOI 10.1357/0022240933223963
Mosby AF, 2015, AQUAT MICROB ECOL, V74, P157, DOI 10.3354/ame01733
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Pasulka AL, 2015, J PLANKTON RES, V37, P320, DOI 10.1093/plankt/fbv011
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Philippot L, 2010, NAT REV MICROBIOL, V8, P523, DOI 10.1038/nrmicro2367
POINDEXTER JS, 1981, ADV MICROB ECOL, V5, P63
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
REDALJE DG, 1981, MAR BIOL, V62, P73, DOI 10.1007/BF00396953
Roux S, 2011, FEMS MICROBIOL ECOL, V78, P617, DOI 10.1111/j.1574-6941.2011.01190.x
Ruiz-González C, 2012, BIOGEOCHEMISTRY, V110, P57, DOI 10.1007/s10533-012-9699-y
Ruiz-González C, 2012, LIMNOL OCEANOGR, V57, P1376, DOI 10.4319/lo.2012.57.5.1376
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Samo T.J., 2014, FRONT MAR SCI, V1, P1, DOI DOI 10.3389/FMARS.2014.00048)
Selph KE, 2005, GEOCHEM GEOPHY GEOSY, V6, DOI 10.1029/2005gc000983
Sieracki ME, 2006, LIMNOL OCEANOGR, V51, P38, DOI 10.4319/lo.2006.51.1.0038
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Smriga S, 2014, AQUAT MICROB ECOL, V72, P269, DOI 10.3354/ame01698
Stegman MR, 2014, ISME J, V8, P2339, DOI 10.1038/ismej.2014.75
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Straza TRA, 2011, AQUAT MICROB ECOL, V62, P267, DOI 10.3354/ame01469
Straza TRA, 2009, APPL ENVIRON MICROB, V75, P4028, DOI 10.1128/AEM.00183-09
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tada Y, 2013, POLAR BIOL, V36, P691, DOI 10.1007/s00300-013-1294-8
Taniguchi DAA, 2014, MAR ECOL PROG SER, V509, P87, DOI 10.3354/meps10895
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Våge S, 2013, ENVIRON MICROBIOL, V15, P1842, DOI 10.1111/1462-2920.12077
Vieira-Silva S, 2010, TRENDS ECOL EVOL, V25, P319, DOI 10.1016/j.tree.2010.03.001
Vieira-Silva S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000808
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Yao DH, 2011, ENVIRON MICROBIOL, V13, P1032, DOI 10.1111/j.1462-2920.2010.02408.x
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zarecki R, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003726
Zhang Y, 2006, AQUAT MICROB ECOL, V43, P233, DOI 10.3354/ame043233
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zubkov MV, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4776
NR 123
TC 195
Z9 215
PY 2016
VL 8
BP 285
EP +
DI 10.1146/annurev-marine-122414-033938
UT WOS:000368369200013
DA 2025-07-30
ER
PT J
AU Lankiewicz, TS
Cottrell, MT
Kirchman, DL
AF Lankiewicz, Thomas S.
Cottrell, Matthew T.
Kirchman, David L.
TI Growth rates and rRNA content of four marine bacteria in pure cultures
and in the Delaware estuary
SO ISME JOURNAL
DT Article
AB Interpretation of 16S ribosomal RNA (rRNA) to 16S rRNA gene ratios (rRNA: rDNA) is based on a limited number of studies with rapidly growing copiotrophic bacteria. The most abundant bacteria in the ocean are oligotrophs, which probably grow more slowly than those bacteria whose rRNA: rDNA versus growth rate relationships are known. To examine whether rRNA: rDNA varies differently in oligotrophic marine bacteria than in copiotrophic bacteria, we used quantitative PCR and reverse transcriptase quantitative PCR to measure rRNA: rDNA in two marine copiotrophs and in two marine oligotrophs, including Candidatus Pelagibacter ubique HTCC1062, a coastal isolate of SAR11, the most abundant bacterial clade in the ocean. The rRNA: rDNA ratios for the two copiotrophs were similar to those expected on the basis of an analysis of previously studied copiotrophic bacteria, while the ratios for the two oligotrophs were substantially lower than predicted even given their slow growth rates. The rRNA: rDNA ratios determined along a transect in the Delaware estuary suggested that SAR11 bacteria grow at rates close to the growth rate in culture, while rates of the two copiotrophs were far below those observed in laboratory cultures. Our results have implications for interpreting rRNA: rDNA from natural communities, understanding growth strategies and comparing regulatory mechanisms in copiotrophs and oligotrophs.
C1 [Lankiewicz, Thomas S.; Cottrell, Matthew T.; Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
ANDERSSON SGE, 1990, MICROBIOL REV, V54, P198, DOI 10.1128/MMBR.54.2.198-210.1990
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Bremer H., 1987, ESCHERICHIA COLI SAL, V2, P1527
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
CALDWELL PC, 1950, J CHEM SOC, P3151, DOI 10.1039/jr9500003151
Campbell BJ, 2009, AQUAT MICROB ECOL, V57, P123, DOI 10.3354/ame01335
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chen ZT, 2011, METHODS MOL BIOL, V733, P93, DOI 10.1007/978-1-61779-089-8_7
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
Delbès C, 2000, ENVIRON MICROBIOL, V2, P506, DOI 10.1046/j.1462-2920.2000.00132.x
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
Dempster EL, 1999, BIOTECHNIQUES, V27, P66, DOI 10.2144/99271bm13
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Deutscher MP, 2003, J BIOL CHEM, V278, P45041, DOI 10.1074/jbc.R300031200
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
HARVEY RJ, 1970, J BACTERIOL, V104, P698, DOI 10.1128/JB.104.2.698-706.1970
Herbert D., 1961, S SOC GEN MICROBIOLO, V11, P391
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
KERKHOF L, 1993, APPL ENVIRON MICROB, V59, P1303, DOI 10.1128/AEM.59.5.1303-1309.1993
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
KJELDGAARD NO, 1958, J GEN MICROBIOL, V19, P607, DOI 10.1099/00221287-19-3-607
KJELDGAARD NO, 1963, J MOL BIOL, V6, P341, DOI 10.1016/S0022-2836(63)80093-5
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Klumpp S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0048542
Koch AL, 2001, BIOESSAYS, V23, P657, DOI 10.1002/bies.1091
KRAMER JG, 1992, APPL ENVIRON MICROB, V58, P201, DOI 10.1128/AEM.58.1.201-207.1992
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lee DH, 1996, APPL ENVIRON MICROB, V62, P3112, DOI 10.1128/AEM.62.9.3112-3120.1996
LEE SH, 1994, LIMNOL OCEANOGR, V39, P869, DOI 10.4319/lo.1994.39.4.0869
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
Long RA, 2001, AQUAT MICROB ECOL, V26, P103, DOI 10.3354/ame026103
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Novoa EM, 2012, TRENDS GENET, V28, P574, DOI 10.1016/j.tig.2012.07.006
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NEIDHARDT FC, 1960, BIOCHIM BIOPHYS ACTA, V42, P99, DOI 10.1016/0006-3002(60)90757-5
PANG HL, 1994, MOL MICROBIOL, V12, P115, DOI 10.1111/j.1365-2958.1994.tb01000.x
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
POULSEN LK, 1993, APPL ENVIRON MICROB, V59, P1354, DOI 10.1128/AEM.59.5.1354-1360.1993
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
ROSSET R, 1966, J MOL BIOL, V18, P308, DOI 10.1016/S0022-2836(66)80248-6
Salter I, 2014, ISME J, P1
SCHAECHTER M, 1958, J GEN MICROBIOL, V19, P592, DOI 10.1099/00221287-19-3-592
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Smith D., 2013, MBio, V4, P1
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Smith DH, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012076
Steinstraesser L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018321
SYKES J, 1968, BIOCHIM BIOPHYS ACTA, V169, P103, DOI 10.1016/0005-2787(68)90012-9
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Våge S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101415
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 73
TC 57
Z9 61
PD APR
PY 2016
VL 10
IS 4
BP 823
EP 832
DI 10.1038/ismej.2015.156
UT WOS:000372364000004
DA 2025-07-30
ER
PT J
AU Campbell, BJ
Waidner, LA
Cottrell, MT
Kirchman, DL
AF Campbell, Barbara J.
Waidner, Lisa A.
Cottrell, Matthew T.
Kirchman, David L.
TI Abundant proteorhodopsin genes in the north atlantic ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Proteorhodopsin (PR) is a light-driven proton pump that has been found in a variety of marine bacteria, including Pelagibacter ubique, a member of the ubiquitous SAR11 clade. The goals of this study were to explore the diversity of PR genes and to estimate their abundance in the North Atlantic Ocean using quantitative polymerase chain reaction (QPCR). We found that PR genes in the western portion of the Sargasso Sea could be grouped into 27 clusters, but five clades had the most sequences. Sets of specific QPCR primers were designed to examine the abundance of PR genes in the following four of the five clades: SAR11 (P. ubique and other SAR11 Alphaproteobacteria), BACRED17H8 (Alphaproteobacteria), HOT2C01 (Alphaproteobacteria) and an uncultured subgroup of the Flavobacteria. Two groups (SAR11 and HOT2C01) dominated PR gene abundance in oligotrophic waters, but were significantly less abundant in nutrient- and chlorophyll-rich waters. The other two groups (BACRED17H8 and Flavobacteria subgroup NASB) were less abundant in all waters. Together, these four PR gene types were found in 50% of all bacteria in the Sargasso Sea. We found a significant negative correlation between total PR gene abundance and nutrients and chlorophyll but no significant correlation with light intensity for three of the four PR types in the depth profiles north of the Sargasso Sea. Our data suggest that PR is common in the North Atlantic Ocean, especially in SAR11 bacteria and another marine alphaproteobacterial group (HOT2C01), and that these PR-bearing bacteria are most abundant in oligotrophic waters.
C1 [Campbell, Barbara J.; Waidner, Lisa A.; Cottrell, Matthew T.; Kirchman, David L.] Univ Delaware, Coll Marine & Earth Studies, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Coll Marine & Earth Studies, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bielawski JP, 2004, P NATL ACAD SCI USA, V101, P14824, DOI 10.1073/pnas.0403999101
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Karl DM, 2002, NATURE, V415, P590, DOI 10.1038/415590b
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
Kumar S, 2004, BRIEF BIOINFORM, V5, P150, DOI 10.1093/bib/5.2.150
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Obernosterer I, 2003, AQUAT MICROB ECOL, V32, P229, DOI 10.3354/ame032229
Ottesen EA, 2006, SCIENCE, V314, P1464, DOI 10.1126/science.1131370
Parsons TR., 1984, A manual of chemical biological methods for seawater analysis, P107, DOI [10.1016/B978-0-08-030287-4.50034-7, DOI 10.1016/B978-0-08-030287-4.50034-7, 10.1016/C2009-0-07774-5]
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schwalbach MS, 2005, LIMNOL OCEANOGR, V50, P620, DOI 10.4319/lo.2005.50.2.0620
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Waidner LA, 2007, APPL ENVIRON MICROB, V73, P3936, DOI 10.1128/AEM.00592-07
NR 39
TC 79
Z9 87
PD JAN
PY 2008
VL 10
IS 1
BP 99
EP 109
DI 10.1111/j.1462-2920.2007.01436.x
UT WOS:000252443000010
DA 2025-07-30
ER
PT J
AU Zhang, Y
He, YH
Xie, ZX
Bai, ZA
Hu, GS
Wang, MH
Giovannoni, SJ
Wang, DZ
AF Zhang, Yu
He, Yao-Hui
Xie, Zhang-Xian
Bai, Zhuo-An
Hu, Guo-Sheng
Wang, Ming-Hua
Giovannoni, Stephen J.
Wang, Da-Zhi
TI Phosphoproteomics reveals essential regulatory roles of phosphorylation
in marine oligotrophic bacteria
SO MARINE LIFE SCIENCE & TECHNOLOGY
DT Article; Early Access
AB Oligotrophic bacteria with reduced genomes have relatively few transcriptional regulators and are thought to rely more than other bacteria on post-transcriptional regulation to respond to environmental stimuli. SAR11 bacteria are the most abundant group of heterotrophic bacteria in marine planktonic systems and are a model for understanding genome reduction in other free-living microorganisms. Here, we report a comprehensive, quantitative protein phosphorylation profile for SAR11 strain HTCC1062 grown under various environmentally relevant conditions, including light/dark cycles, temperature differences, and nutrient limitations, to investigate phosphorylation dynamics in this streamlined organism. Nearly half of proteins encoded by the genome were detected in phosphorylated forms under at least one condition. 1014 Ser/Thr/Tyr phosphorylation sites were observed in 1576 phosphopeptides from 555 phosphoproteins. Protein phosphorylation was concentrated in proteins for functions associated with nutrient acquisition and growth, such as ABC transporters, RNA polymerase, and ribosomal proteins. Prominent patterns in protein phosphorylation were detected across a range of culture conditions. In these cells, which previously have been shown to continuously express nearly their entire proteome, protein phosphorylation was more dynamic than protein abundance, supporting the hypothesis that post-transcriptional regulation by protein phosphorylation might play a large role in modulating protein activity. Our findings support a regulatory model characterized by minimal variation in protein expression but extensive protein phosphorylation. This model diverges from bacterial regulatory paradigms reliant on transcriptional control, and may be relevant to understanding other abundant heterotrophs with reduced genomes.
C1 [Zhang, Yu; Xie, Zhang-Xian; Bai, Zhuo-An; Wang, Ming-Hua; Wang, Da-Zhi] Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
[He, Yao-Hui] Univ South China, Hengyang Med Sch, MOE Key Lab Rare Pediat Dis, Hengyang 421001, Peoples R China.
[Xie, Zhang-Xian] Quanzhou Normal Univ, Sch Resources & Environm Sci, Key Lab Rural Environm Remediat & Waste Recycling, Quanzhou 362000, Peoples R China.
[Hu, Guo-Sheng] Xiamen Univ, Sch Pharmaceut Sci, Fujian Prov Key Lab Innovat Drug Target Res, Xiamen 361102, Peoples R China.
[Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Wang, DZ (corresponding author), Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.; Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu; dzwang@xmu.edu.cn
CR Acker M, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2113386119
Beier S, 2015, ENV MICROBIOL REP, V7, P427, DOI 10.1111/1758-2229.12267
Bolanos LM, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00198-1
Bürgmann H, 2007, ENVIRON MICROBIOL, V9, P2742, DOI 10.1111/j.1462-2920.2007.01386.x
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Cousin C, 2013, FEMS MICROBIOL LETT, V346, P11, DOI 10.1111/1574-6968.12189
DUFOUR A, 1994, J BACTERIOL, V176, P1813, DOI 10.1128/jb.176.7.1813-1820.1994
Gao WW, 2018, MOL CELL, V70, P340, DOI 10.1016/j.molcel.2018.03.006
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Lambrecht SJ, 2020, FEMS MICROBIOL REV, V44, P232, DOI 10.1093/femsre/fuaa005
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li YY, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01976
Lim S, 2015, J PROTEOMICS, V126, P24, DOI 10.1016/j.jprot.2015.05.021
Lin MH, 2018, MOL CELL PROTEOMICS, V17, P2496, DOI 10.1074/mcp.RA118.000880
Lin MH, 2015, SCI SIGNAL, V8, DOI 10.1126/scisignal.aaa3117
Liu W, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25202-5
Macek B, 2019, NAT REV MICROBIOL, V17, P651, DOI 10.1038/s41579-019-0243-0
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
Mikulík K, 2011, MOL BIOSYST, V7, P817, DOI 10.1039/c0mb00174k
Noell SE, 2023, MICROBIOL MOL BIOL R, V87, DOI 10.1128/mmbr.00124-22
Noell SE, 2023, ENVIRON MICROBIOL, V25, P1265, DOI 10.1111/1462-2920.16357
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Pisithkul T, 2015, CURR OPIN MICROBIOL, V24, P29, DOI 10.1016/j.mib.2014.12.006
Sadatomi D, 2013, INT J MOL SCI, V14, P4596, DOI 10.3390/ijms14034596
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Soares NC, 2013, J PROTEOME RES, V12, P2611, DOI 10.1021/pr3011843
Soung GY, 2009, J PROTEOME RES, V8, P3390, DOI 10.1021/pr900042e
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Voigt K, 2014, ISME J, V8, P2056, DOI 10.1038/ismej.2014.57
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Yagüe P, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20225678
Yang MK, 2013, J PROTEOME RES, V12, P1909, DOI 10.1021/pr4000043
NR 43
TC 0
Z9 0
PD 2025 JUL 15
PY 2025
DI 10.1007/s42995-025-00305-w
EA JUL 2025
UT WOS:001529142700001
DA 2025-07-30
ER
PT J
AU Thompson, AW
Nyerges, G
Lamberson, KM
Sutherland, KR
AF Thompson, Anne W.
Nyerges, Gyorgyi
Lamberson, Kylee M.
Sutherland, Kelly R.
TI Ubiquitous filter feeders shape open ocean microbial community structure
and function
SO PNAS NEXUS
DT Article
AB The mechanism of mortality plays a large role in how microorganisms in the open ocean contribute to global energy and nutrient cycling. Salps are ubiquitous pelagic tunicates that are a well-known mortality source for large phototrophic microorganisms in coastal and high-latitude systems, but their impact on the immense populations of smaller prokaryotes in the tropical and subtropical open ocean gyres is not well quantified. We used robustly quantitative techniques to measure salp clearance and enrichment of specific microbial functional groups in the North Pacific Subtropical Gyre, one of the largest ecosystems on Earth. We discovered that salps are a previously unknown predator of the globally abundant nitrogen fixer Crocosphaera; thus, salps restrain new nitrogen delivery to the marine ecosystem. We show that the ocean's two numerically dominant cells, Prochlorococcus and SAR11, are not consumed by salps, which offers a new explanation for the dominance of small cells in open ocean systems. We also identified a double bonus for Prochlorococcus, wherein it not only escapes salp predation but the salps also remove one of its major mixotrophic predators, the prymnesiophyte Chrysochromulina. When we modeled the interaction between salp mesh and particles, we found that cell size alone could not account for these prey selection patterns. Instead, the results suggest that alternative mechanisms, such as surface property, shape, nutritional quality, or even prey behavior, determine which microbial cells are consumed by salps. Together, these results identify salps as a major factor in shaping the structure, function, and ecology of open ocean microbial communities.
C1 [Thompson, Anne W.] Portland State Univ, Dept Biol, Portland, OR 97201 USA.
[Nyerges, Gyorgyi] Pacific Univ, Dept Biol, Forest Grove, OR 97116 USA.
[Lamberson, Kylee M.] Portland State Univ, Dept Chem, Portland, OR 97201 USA.
[Sutherland, Kelly R.] Univ Oregon, Oregon Inst Marine Biol, Eugene, OR 97403 USA.
RP Thompson, AW (corresponding author), Portland State Univ, Dept Biol, Portland, OR 97201 USA.
EM awt@pdx.edu
CR ATKINSON D, 1994, ADV ECOL RES, V25, P1, DOI 10.1016/s0065-2504(08)60212-3
Beckett S.J., 2021, BIORXIV, DOI [10.1101/2021.06.15.448546, DOI 10.1101/2021.06.15.448546]
Bian VC, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36928-9
Boenigk J, 2004, APPL ENVIRON MICROB, V70, P5787, DOI 10.1128/AEM.70.10.5787-5793.2004
Braakman R, 2017, P NATL ACAD SCI USA, V114, pE3091, DOI 10.1073/pnas.1619573114
Brand A, 2015, LEARN PUBL, V28, P151, DOI 10.1087/20150211
Cardona L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031329
Carlson MCG, 2022, NAT MICROBIOL, V7, P570, DOI 10.1038/s41564-022-01088-x
Cavallo C, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00381
Cermak N, 2017, ISME J, V11, P825, DOI 10.1038/ismej.2016.161
Conley KR, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183105
Connell PE, 2020, AQUAT MICROB ECOL, V85, P167, DOI 10.3354/ame01950
Conte J, 2018, BIOTECHNIQUES, V64, P177, DOI 10.2144/btn-2018-2000
Dadon-Pilosof A, 2019, LIMNOL OCEANOGR, V64, P1996, DOI 10.1002/lno.11165
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Décima M, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-022-35204-6
DEIBEL D, 1985, J MAR RES, V43, P211, DOI 10.1357/002224085788437307
Deng LX, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00135
Dore JE, 2014, GEOPHYS RES LETT, V41, P6459, DOI 10.1002/2014GL060725
Dubischar CD, 1997, DEEP-SEA RES PT II, V44, P415, DOI 10.1016/S0967-0645(96)00064-1
Dugenne M, 2020, LIMNOL OCEANOGR, V65, P2603, DOI 10.1002/lno.11473
Fender C.K., 2022, BIORXIV, DOI [10.1101/2022.02.16.480784, DOI 10.1101/2022.02.16.480784]
Flombaum P, 2021, LIMNOL OCEANOGR, V66, P4171, DOI 10.1002/lno.11951
Follett CL, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2110993118
Forster J, 2013, ISME J, V7, P28, DOI 10.1038/ismej.2012.76
Frias-Lopez J, 2009, ENVIRON MICROBIOL, V11, P512, DOI 10.1111/j.1462-2920.2008.01793.x
Frischer M.E., 2014, Food Webs, V1, P18
Frischer ME, 2021, LIMNOL OCEANOGR, V66, P1993, DOI 10.1002/lno.11740
FROST BW, 1972, LIMNOL OCEANOGR, V17, P805, DOI 10.4319/lo.1972.17.6.0805
Fu FX, 2008, LIMNOL OCEANOGR, V53, P2472, DOI 10.4319/lo.2008.53.6.2472
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gloor GB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02224
Gong W, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00219
Gradoville MR, 2020, LIMNOL OCEANOGR, V65, P1858, DOI 10.1002/lno.11423
Haddock S.H., 2005, Scientific Blue-Water Diving
HAMNER WM, 1975, LIMNOL OCEANOGR, V20, P907, DOI 10.4319/lo.1975.20.6.0907
HARBISON GR, 1976, LIMNOL OCEANOGR, V21, P517, DOI 10.4319/lo.1976.21.4.0517
HARBISON GR, 1986, LIMNOL OCEANOGR, V31, P371, DOI 10.4319/lo.1986.31.2.0371
HARBISON GR, 1979, LIMNOL OCEANOGR, V24, P875, DOI 10.4319/lo.1979.24.5.0875
Henschke N, 2016, TRENDS ECOL EVOL, V31, P720, DOI 10.1016/j.tree.2016.06.007
Holt RD, 2017, ANNU REV ECOL EVOL S, V48, P447, DOI 10.1146/annurev-ecolsys-110316-022628
Ishiwata Yuki, 2013, Plankton & Benthos Research, V8, P178
Jacobi Y, 2021, LIMNOL OCEANOGR, V66, P1009, DOI 10.1002/lno.11658
Jaspers C, 2023, TRENDS ECOL EVOL, V38, P980, DOI 10.1016/j.tree.2023.05.005
Jurgens K, 1996, LIMNOL OCEANOGR, V41, P1833
Karl DM, 2014, NAT REV MICROBIOL, V12, P699, DOI 10.1038/nrmicro3333
Karl DM, 2012, P NATL ACAD SCI USA, V109, P1842, DOI 10.1073/pnas.1120312109
Karl DM, 2001, DEEP-SEA RES PT II, V48, P1449, DOI 10.1016/S0967-0645(00)00149-1
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Kavlick MF, 2018, BIOTECHNIQUES, V65, P275, DOI 10.2144/btn-2018-0034
KREMER P, 1992, J PLANKTON RES, V14, P1009, DOI 10.1093/plankt/14.7.1009
Landry MR., 2023, P NATL ACAD SCI US, V120
Li Q, 2022, ISME J, V16, P1557, DOI 10.1038/s41396-022-01204-z
Lucas CH, 2014, GLOBAL ECOL BIOGEOGR, V23, P701, DOI 10.1111/geb.12169
Luo EL, 2020, ISME J, V14, P1304, DOI 10.1038/s41396-020-0604-8
Luo YJ, 2022, PROG OCEANOGR, V205, DOI 10.1016/j.pocean.2022.102822
Ma XF, 2018, ENVIRON MICROBIOL, V20, P3001, DOI 10.1111/1462-2920.14338
Madin LP, 1996, J PLANKTON RES, V18, P747, DOI 10.1093/plankt/18.5.747
MADIN LP, 1995, ICES J MAR SCI, V52, P583, DOI 10.1016/1054-3139(95)80073-5
Masuda T, 2022, MICROBIOL SPECTR, V10, DOI 10.1128/spectrum.02177-21
Mazzola M, 2009, APPL ENVIRON MICROB, V75, P6804, DOI 10.1128/AEM.01272-09
McMurdie PJ, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003531
Menden-Deuer S, 2000, LIMNOL OCEANOGR, V45, P569, DOI 10.4319/lo.2000.45.3.0569
Moisander PH, 2010, SCIENCE, V327, P1512, DOI 10.1126/science.1185468
Monger BC, 1999, LIMNOL OCEANOGR, V44, P1917, DOI 10.4319/lo.1999.44.8.1917
Morán XAG, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.0371
Orsi WD, 2018, ENVIRON MICROBIOL, V20, P815, DOI 10.1111/1462-2920.14018
Rajakaruna H, 2023, ENVIRON MICROBIOL, V25, P306, DOI 10.1111/1462-2920.16274
Ribalet F, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0292-2
Ribalet F, 2015, P NATL ACAD SCI USA, V112, P8008, DOI 10.1073/pnas.1424279112
Rii YM, 2016, MAR ECOL PROG SER, V562, P1, DOI 10.3354/meps11954
Riisgård HU, 2001, MAR ECOL PROG SER, V211, P275, DOI 10.3354/meps211275
RUBENSTEIN DI, 1977, AM NAT, V111, P981, DOI 10.1086/283227
Saito MA, 2011, P NATL ACAD SCI USA, V108, P2184, DOI 10.1073/pnas.1006943108
Sidstedt M, 2020, ANAL BIOANAL CHEM, V412, P2009, DOI 10.1007/s00216-020-02490-2
SILVER MW, 1981, MAR BIOL, V62, P263, DOI 10.1007/BF00397693
SILVESTER NR, 1983, J THEOR BIOL, V103, P265, DOI 10.1016/0022-5193(83)90028-0
Song CX, 2015, SCI REP-UK, V5, DOI 10.1038/srep12837
Steinberg DK, 2023, GLOBAL BIOGEOCHEM CY, V37, DOI 10.1029/2022GB007523
Stone JP, 2016, DEEP-SEA RES PT I, V113, P90, DOI 10.1016/j.dsr.2016.04.007
Stukel MR, 2021, LIMNOL OCEANOGR, V66, P2521, DOI 10.1002/lno.11770
Sutherland KR, 2022, LIMNOL OCEANOGR, V67, P102, DOI 10.1002/lno.11979
Sutherland KR, 2010, P NATL ACAD SCI USA, V107, P15129, DOI 10.1073/pnas.1003599107
Talmy D., 2023, BIOGEOSCIENCES DISCU, DOI [10.5194/bg-2023-120, DOI 10.5194/BG-2023-120]
Talmy D, 2019, ENVIRON MICROBIOL, V21, P2171, DOI 10.1111/1462-2920.14626
Thompson AW, 2023, ENVIRON MICROBIOL, V25, P880, DOI 10.1111/1462-2920.16334
Thompson AW, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00488
Thyssen M, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.975877
Tsilimigras MCB, 2016, ANN EPIDEMIOL, V26, P330, DOI 10.1016/j.annepidem.2016.03.002
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Vargas CA, 2004, J PLANKTON RES, V26, P827, DOI 10.1093/plankt/fbh068
Webb EA, 2001, APPL ENVIRON MICROB, V67, P5444, DOI 10.1128/AEM.67.12.5444-5452.2001
Webb EA, 2009, ENVIRON MICROBIOL, V11, P338, DOI 10.1111/j.1462-2920.2008.01771.x
Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
Wildschutte H, 2004, P NATL ACAD SCI USA, V101, P10644, DOI 10.1073/pnas.0404028101
Wilson ST, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.118
Yang NN, 2022, ISME J, V16, P2702, DOI 10.1038/s41396-022-01307-7
Zehr JP, 2017, SCIENCE, V357, P646, DOI 10.1126/science.aan5764
NR 98
TC 4
Z9 5
PD FEB 29
PY 2024
VL 3
IS 3
AR pgae091
DI 10.1093/pnasnexus/pgae091
EA MAR 2024
UT WOS:001190766500021
DA 2025-07-30
ER
PT J
AU Giovannoni, SJ
Tripp, HJ
Givan, S
Podar, M
Vergin, KL
Baptista, D
Bibbs, L
Eads, J
Richardson, TH
Noordewier, M
Rappé, MS
Short, JM
Carrington, JC
Mathur, EJ
AF Giovannoni, SJ
Tripp, HJ
Givan, S
Podar, M
Vergin, KL
Baptista, D
Bibbs, L
Eads, J
Richardson, TH
Noordewier, M
Rappé, MS
Short, JM
Carrington, JC
Mathur, EJ
TI Genome streamlining in a cosmopolitan oceanic bacterium
SO SCIENCE
DT Article
AB The SAR11 clade consists of very small, heterotrophic marine alpha-proteobacteria that are found throughout the oceans, where they account for about 25% of all microbial cells. Pelagibacter ubique, the first cultured member of this clade, has the smallest genome and encodes the smallest number of predicted open reading frames known for a free-living microorganism. In contrast to parasitic bacteria and archaea with small genomes, P. ubique has complete biosynthetic pathways for all 20 amino acids and all but a few cofactors. P. ubique has no pseudogenes, introns, transposons, extrachromosomat elements, or inteins; few paralogs; and the shortest intergenic spacers yet observed for any cell.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
Oregon State Univ, Ctr Gene Res & Biotechnol, Corvallis, OR 97331 USA.
Diversa Corp, San Diego, CA 92121 USA.
Univ Hawaii, Sch Ocean & Earth Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI 96744 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Andersson SGE, 1998, NATURE, V396, P133, DOI 10.1038/24094
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Button DK, 2004, APPL ENVIRON MICROB, V70, P5511, DOI 10.1128/AEM.70.9.5511-5521.2004
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
CARLSON CA, 1994, NATURE, V371, P405, DOI 10.1038/371405a0
Dandekar T, 1999, BIOCHEM J, V343, P115, DOI 10.1042/0264-6021:3430115
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Elsen S, 2004, MICROBIOL MOL BIOL R, V68, P263, DOI 10.1128/MMBR.68.2.263-279.2004
GIOVANNONI SJ, IN PRESS NATURE
Hansell DA, 1998, GLOBAL BIOGEOCHEM CY, V12, P443, DOI 10.1029/98GB01928
Hansell DA, 2001, DEEP-SEA RES PT II, V48, P1649, DOI 10.1016/S0967-0645(00)00153-3
Kimura, 1983, NEUTRAL THEORY MOL E
Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
Lanoil BD, 1996, GENOME RES, V6, P1160, DOI 10.1101/gr.6.12.1160
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MelendezHevia E, 1997, EUR J BIOCHEM, V244, P527, DOI 10.1111/j.1432-1033.1997.t01-1-00527.x
Mira A, 2001, TRENDS GENET, V17, P589, DOI 10.1016/S0168-9525(01)02447-7
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Myllykallio H, 2002, SCIENCE, V297, P105, DOI 10.1126/science.1072113
Myllykallio H, 2003, TRENDS MICROBIOL, V11, P220, DOI 10.1016/S0966-842X(03)00101-X
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
REEVES RE, 1968, J BIOL CHEM, V243, P5486
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Ronimus Ron S., 2003, Archaea, V1, P199, DOI 10.1155/2003/162593
Ruby EG, 2005, P NATL ACAD SCI USA, V102, P3004, DOI 10.1073/pnas.0409900102
Strehl B, 1999, FEMS MICROBIOL LETT, V181, P261, DOI 10.1111/j.1574-6968.1999.tb08853.x
Ussery DW, 2004, MICROBIOL-SGM, V150, P749, DOI 10.1099/mic.0.27103-0
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
NR 29
TC 861
Z9 1218
PD AUG 19
PY 2005
VL 309
IS 5738
BP 1242
EP 1245
DI 10.1126/science.1114057
UT WOS:000231395400046
DA 2025-07-30
ER
PT J
AU Le, PT
Ramulu, HG
Guijarro, L
Paganini, J
Gouret, P
Chabrol, O
Raoult, D
Pontarotti, P
AF Phuong Thi Le
Ramulu, Hemalatha Golaconda
Guijarro, Laurent
Paganini, Julien
Gouret, Philippe
Chabrol, Olivier
Raoult, Dider
Pontarotti, Pierre
TI An automated approach for the identification of horizontal gene
transfers from complete genomes reveals the rhizome of Rickettsiales
SO BMC EVOLUTIONARY BIOLOGY
DT Article
AB Background: Horizontal gene transfer (HGT) is considered to be a major force driving the evolutionary history of prokaryotes. HGT is widespread in prokaryotes, contributing to the genomic repertoire of prokaryotic organisms, and is particularly apparent in Rickettsiales genomes. Gene gains from both distantly and closely related organisms play crucial roles in the evolution of bacterial genomes. In this work, we focus on genes transferred from distantly related species into Rickettsiales species.
Results: We developed an automated approach for the detection of HGT from other organisms (excluding alphaproteobacteria) into Rickettsiales genomes. Our systematic approach consisted of several specialized features including the application of a parsimony method for inferring phyletic patterns followed by blast filter, automated phylogenetic reconstruction and the application of patterns for HGT detection. We identified 42 instances of HGT in 31 complete Rickettsiales genomes, of which 38 were previously unidentified instances of HGT from Anaplasma, Wolbachia, Candidatus Pelagibacter ubique and Rickettsia genomes. Additionally, putative cases with no phylogenetic support were assigned gene ontology terms. Overall, these transfers could be characterized as "rhizome-like".
Conclusions: Our analysis provides a comprehensive, systematic approach for the automated detection of HGTs from several complete proteome sequences that can be applied to detect instances of HGT within other genomes of interest.
C1 [Phuong Thi Le; Ramulu, Hemalatha Golaconda; Guijarro, Laurent; Paganini, Julien; Gouret, Philippe; Chabrol, Olivier; Pontarotti, Pierre] Aix Marseille Univ, LATP UMR CNRS 7353, F-13331 Marseille, France.
[Phuong Thi Le; Ramulu, Hemalatha Golaconda; Raoult, Dider] Aix Marseille Univ, Unit Res Emergent & Trop Infect Dis, URMITE UMR CNRS 7278, IRD 198,Inserm 1095, F-13005 Marseille, France.
RP Pontarotti, P (corresponding author), Aix Marseille Univ, LATP UMR CNRS 7353, F-13331 Marseille, France.
EM Pierre.Pontarotti@univ-provence.fr
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
ANDERSON BE, 1991, J CLIN MICROBIOL, V29, P2838, DOI 10.1128/JCM.29.12.2838-2842.1991
Anderson CL, 2001, BMC EVOL BIOL, V1, DOI 10.1186/1471-2148-1-10
Andersson SGE, 1998, NATURE, V396, P133, DOI 10.1038/24094
Aravind L, 1998, TRENDS GENET, V14, P442, DOI 10.1016/S0168-9525(98)01553-4
Arias Maria Cecilia, 2012, Mob Genet Elements, V2, P81
Ashburner M, 2000, NAT GENET, V25, P25, DOI 10.1038/75556
Blanc G, 2007, GENOME RES, V17, P1657, DOI 10.1101/gr.6742107
Boussau B, 2004, P NATL ACAD SCI USA, V101, P9722, DOI 10.1073/pnas.0400975101
Boyer M, 2009, P NATL ACAD SCI USA, V106, P21848, DOI 10.1073/pnas.0911354106
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
Caro-Quintero A, 2011, ISME J, V5, P131, DOI 10.1038/ismej.2010.93
Chandrasekaran C, 2008, NATURE EDUCATION
CHEN SM, 1994, J CLIN MICROBIOL, V32, P589, DOI 10.1128/JCM.32.3.589-595.1994
Chrisman CJ, 2010, APPL ENVIRON MICROB, V76, P6056, DOI 10.1128/AEM.00812-10
Cortez D, 2009, GENOME BIOL, V10, DOI 10.1186/gb-2009-10-6-r65
Daubin V, 2003, GENOME BIOL, V4, DOI 10.1186/gb-2003-4-9-r57
David LA, 2011, NATURE, V469, P93, DOI 10.1038/nature09649
DAWSON JE, 1991, J CLIN MICROBIOL, V29, P2741, DOI 10.1128/JCM.29.12.2741-2745.1991
Deschavanne P, 2000, IEEE INT SYMP BIO IN, V33, pe6
Doolittle WF, 1999, TRENDS BIOCHEM SCI, V24, pM5, DOI 10.1016/S0968-0004(99)01471-1
Dufraigne C, 2005, NUCLEIC ACIDS RES, V33, DOI 10.1093/nar/gni004
Eddy SR, 1998, BIOINFORMATICS, V14, P755, DOI 10.1093/bioinformatics/14.9.755
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Frost LS, 2005, NAT REV MICROBIOL, V3, P722, DOI 10.1038/nrmicro1235
Georgiades K, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024857
Georgiades K, 2011, BIOL DIRECT, V6, DOI 10.1186/1745-6150-6-6
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gladyshev EA, 2008, SCIENCE, V320, P1210, DOI 10.1126/science.1156407
Gouret P, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-198
Gouret P, 2011, EVOLUTIONARY BIOLOGY: CONCEPTS, BIODIVERSITY, MACROEVOLUTION AND GENOME EVOLUTION, P71, DOI 10.1007/978-3-642-20763-1_5
Gouret P, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-298
Greub G, 2003, APPL ENVIRON MICROB, V69, P5530, DOI 10.1128/AEM.69.9.5530-5535.2003
Harris MA, 2006, NUCLEIC ACIDS RES, V34, pD322, DOI 10.1093/nar/gkj021
Hazen TH, 2010, FEMS MICROBIOL ECOL, V74, P485, DOI 10.1111/j.1574-6941.2010.00937.x
Hooper SD, 2002, J MOL EVOL, V54, P365, DOI 10.1007/s00239-001-0051-8
Jain R, 2003, MOL BIOL EVOL, V20, P1598, DOI 10.1093/molbev/msg154
KISHINO H, 1989, J MOL EVOL, V29, P170, DOI 10.1007/BF02100115
Klasson L, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-33
Kloesges T, 2011, MOL BIOL EVOL, V28, P1057, DOI 10.1093/molbev/msq297
Koonin EV, 2001, ANNU REV MICROBIOL, V55, P709, DOI 10.1146/annurev.micro.55.1.709
La Scola B, 2003, SCIENCE, V299, P2033
Lamrabet O, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0034754
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lartillot N, 2009, BIOINFORMATICS, V25, P2286, DOI 10.1093/bioinformatics/btp368
Lawrence JG, 1998, P NATL ACAD SCI USA, V95, P9413, DOI 10.1073/pnas.95.16.9413
Leplae R, 2010, NUCLEIC ACIDS RES, V38, pD57, DOI 10.1093/nar/gkp938
Levasseur A, 2012, EVOL BIOINFORM, V8, P437, DOI 10.4137/EBO.S9186
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Masui S, 2000, J MOL EVOL, V51, P491, DOI 10.1007/s002390010112
Masui S, 2001, BIOCHEM BIOPH RES CO, V283, P1099, DOI 10.1006/bbrc.2001.4906
McDaniel LD, 2010, SCIENCE, V330, P50, DOI 10.1126/science.1192243
Merhej V, 2011, MOL BIOL EVOL, V28, P3213, DOI 10.1093/molbev/msr239
Merhej V, 2011, BIOL REV, V86, P379, DOI 10.1111/j.1469-185X.2010.00151.x
Merhej V, 2009, BIOL DIRECT, V4, DOI 10.1186/1745-6150-4-13
Moliner C, 2010, FEMS MICROBIOL REV, V34, P281, DOI [10.1111/j.1574-6976.2010.00209.x, 10.1111/j.1574-6976.2009.00209.x]
Nikoh N, 2008, GENOME RES, V18, P272, DOI 10.1101/gr.7144908
Ochman H, 2000, NATURE, V405, P299, DOI 10.1038/35012500
Ogata H, 2006, PLOS GENET, V2, P733, DOI 10.1371/journal.pgen.0020076
Paganini J, 2012, EVOL BIOINFORM, V8, P417, DOI 10.4137/EBO.S9179
PHILIP CB, 1948, J PARASITOL, V34, P169, DOI 10.2307/3273264
Raoult D, 1997, CLIN MICROBIOL REV, V10, P694, DOI 10.1128/CMR.10.4.694
Raoult D, 2010, INTERVIROLOGY, V53, P321, DOI 10.1159/000312917
Raoult D, 2010, LANCET, V375, P104, DOI 10.1016/S0140-6736(09)61958-9
Reen FJ, 2006, NAT REV MICROBIOL, V4, P697, DOI 10.1038/nrmicro1476
Renesto P, 2005, FEMS MICROBIOL REV, V29, P99, DOI 10.1016/j.femsre.2004.09.002
RIKIHISA Y, 1991, CLIN MICROBIOL REV, V4, P286, DOI 10.1128/CMR.4.3.286-308.1991
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Sankoff D, SIAM J APP METHAMATI, V28, P35
Schmidt HA, 2002, BIOINFORMATICS, V18, P502, DOI 10.1093/bioinformatics/18.3.502
Scoles GA, 2004, J MED ENTOMOL, V41, P277, DOI 10.1603/0022-2585-41.3.277
Seong SY, 2001, MICROBES INFECT, V3, P11, DOI 10.1016/S1286-4579(00)01352-6
Shimodaira H, 2002, SYST BIOL, V51, P492, DOI 10.1080/10635150290069913
Snel B, 1999, NAT GENET, V21, P108, DOI 10.1038/5052
Snel B, 2002, GENOME RES, V12, P17, DOI 10.1101/gr.176501
Stephens RS, 1998, SCIENCE, V282, P754, DOI 10.1126/science.282.5389.754
Swofford D.L., 2003, PAUP*. Phylogenetic Analysis using Parsimony (*and Other Methods)
TAMURA A, 1995, INT J SYST BACTERIOL, V45, P589, DOI 10.1099/00207713-45-3-589
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Tatusov RL, 2000, NUCLEIC ACIDS RES, V28, P33, DOI 10.1093/nar/28.1.33
Thomas V, 2010, INTERVIROLOGY, V53, P254, DOI 10.1159/000312910
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
van Dongen S., 2000, THESIS
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Warren D, 1997, SYMPOSIUM ON ARTIFIC, P109
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
Wolf YI, 1999, TRENDS GENET, V15, P173, DOI 10.1016/S0168-9525(99)01704-7
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
Zhao JS, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009109
Zhaxybayeva O, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-3-r20
Zhaxybayeva O, 2006, GENOME RES, V16, P1099, DOI 10.1101/gr.5322306
Zhou Mi, 2004, In Silico Biol, V4, P323
Zomorodipour A, 1999, FEBS LETT, V452, P11, DOI 10.1016/S0014-5793(99)00563-3
NR 95
TC 11
Z9 14
PD DEC 12
PY 2012
VL 12
AR 243
DI 10.1186/1471-2148-12-243
UT WOS:000315049600001
DA 2025-07-30
ER
PT J
AU Miller, D
Pfreundt, U
Hou, S
Lott, SC
Hess, WR
Berman-Frank, I
AF Miller, D.
Pfreundt, U.
Hou, S.
Lott, S. C.
Hess, W. R.
Berman-Frank, I.
TI Winter mixing impacts gene expression in marine microbial populations in
the Gulf of Aqaba
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB In aquatic systems, changes in temperature and irradiance fundamentally characterize the water column and regulate microbial population structure and function. In systems with stable thermal stratification, the warm surface mixed layer is typically nutrient impoverished, limiting biological production. In periods of destratification, convective mixing of the water column exposes the microorganisms inhabiting these mixed systems to rapid variations in light availability and spectra. We explored the impact of winter deep-mixing (500 m deep mixed layer) on microbial communities from the surface (2.5 m) and the aphotic waters (440 m) in the Gulf of Aqaba by examining changes in both population composition and function via DNA and RNA sequencing. The greatest fraction of 16S sequences was assigned to Euryarchaeota, while metatranscriptomes were dominated by Synechococcus transcripts. Community composition was highly similar at both depths, yet transcription profiles differed. Phototrophic organisms found at the photic surface overexpressed genes related to catabolism and energy metabolism, while genes affiliated with biosynthesis were overexpressed at the aphotic depth. Similar transcriptional trends were ob served in the non-photoautotrophs SAR11, Euryarchaeota, and Thaumarchaeota, with niche partitioning based on differential utilization of nitrogen and phosphorus occurring between the 2 archaeal groups. We did not detect upregulated expression of cyanobacterial genes indicative of mixotrophy or glycogen metabolism in the aphotic zone, suggesting they survive the aphotic period by utilizing photosynthates produced in the photic zone. Indications for a mixotrophic lifestyle were observed for prasinophytes, with genes related to phagocytosis overexpressed at the aphotic depth compared with the surface.
C1 [Miller, D.; Berman-Frank, I.] Bar Ilan Univ, Mina & Everard Goodman Fac Life Sci, Ramat Gan, Israel.
[Pfreundt, U.; Hou, S.; Lott, S. C.; Hess, W. R.] Univ Freiburg, Genet & Expt Bioinformat, Fac Biol, Schanzlestr 1, D-79104 Freiburg, Germany.
[Pfreundt, U.] ETH, Inst Environm Engn, Dept Civil Environm & Geomat Engn, Stefano Franscini Pl 5, CH-8093 Zurich, Switzerland.
RP Berman-Frank, I (corresponding author), Bar Ilan Univ, Mina & Everard Goodman Fac Life Sci, Ramat Gan, Israel.
EM ilana.berman-frank@biu.ac.il
CR ALLEN MM, 1984, ANNU REV MICROBIOL, V38, P1, DOI 10.1146/annurev.mi.38.100184.000245
Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Bartke T, 2004, MOL CELL, V14, P801, DOI 10.1016/j.molcel.2004.05.018
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bonnet S, 2010, LIMNOL OCEANOGR, V55, P1959, DOI 10.4319/lo.2010.55.5.1959
BOWSHER CG, 1989, PLANTA, V177, P359, DOI 10.1007/BF00403594
Brinkhoff T, 1997, APPL ENVIRON MICROB, V63, P3789, DOI 10.1128/AEM.63.10.3789-3796.1997
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buitenhuis ET, 2012, EARTH SYST SCI DATA, V4, P37, DOI 10.5194/essd-4-37-2012
Callieri C, 2014, J LIMNOL, V73, P47, DOI 10.4081/jlimnol.2014.937
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carlson DF, 2014, DEEP-SEA RES PT I, V84, P1, DOI 10.1016/j.dsr.2013.10.004
Charuvaka A, 2011, BMC GENOMICS, V12, DOI 10.1186/1471-2164-12-S2-S8
Coe A, 2016, LIMNOL OCEANOGR, V61, P1375, DOI 10.1002/lno.10302
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deschamps P, 2014, GENOME BIOL EVOL, V6, P1549, DOI 10.1093/gbe/evu127
DEUERLING E, 1995, J BACTERIOL, V177, P4105, DOI 10.1128/jb.177.14.4105-4112.1995
Dore JE, 1996, MAR CHEM, V53, P173, DOI 10.1016/0304-4203(96)00004-7
Doxey AC, 2015, ISME J, V9, P461, DOI 10.1038/ismej.2014.142
Dufresne A, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-5-r90
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Ehrenshaft M, 1999, P NATL ACAD SCI USA, V96, P9374, DOI 10.1073/pnas.96.16.9374
Ferreira AJS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097338
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fischer M, 2004, J MOL BIOL, V343, P267, DOI 10.1016/j.jmb.2004.08.016
Frydman J, 2001, ANNU REV BIOCHEM, V70, P603, DOI 10.1146/annurev.biochem.70.1.603
FUJITA N, 1987, MOL GEN GENET, V210, P10, DOI 10.1007/BF00337752
Gao CH, 2011, BIOCHEM BIOPH RES CO, V411, P726, DOI 10.1016/j.bbrc.2011.07.014
GENIN A, 1995, NATURE, V377, P507, DOI 10.1038/377507a0
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Ghiglione JF, 2008, BIOGEOSCIENCES, V5, P1751, DOI 10.5194/bg-5-1751-2008
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gogou A, 2014, J MARINE SYST, V129, P224, DOI 10.1016/j.jmarsys.2013.05.013
GUTTERIDGE S, 1995, PLANT CELL, V7, P809, DOI 10.1105/tpc.7.7.809
Hartwell J, 1996, PLANTA, V200, P107, DOI 10.1007/BF00196656
Hauser T, 2015, NAT PLANTS, V1, P1, DOI [10.1038/NPLANTS.2015.65, 10.1038/nplants.2015.65]
Heimbürger LE, 2013, PROG OCEANOGR, V119, P59, DOI 10.1016/j.pocean.2013.08.005
HEISE KP, 1994, PROG LIPID RES, V33, P87, DOI 10.1016/0163-7827(94)90011-6
HERMAN C, 1995, P NATL ACAD SCI USA, V92, P3516, DOI 10.1073/pnas.92.8.3516
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
HIGHTOWER LE, 1991, CELL, V66, P191, DOI 10.1016/0092-8674(91)90611-2
Hou SW, 2016, SCI REP-UK, V6, DOI 10.1038/srep35470
Ingalls AE, 2006, P NATL ACAD SCI USA, V103, P6442, DOI 10.1073/pnas.0510157103
Ionescu D, 2009, FEMS MICROBIOL ECOL, V69, P425, DOI 10.1111/j.1574-6941.2009.00721.x
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
KARL DM, 1993, MAR CHEM, V41, P203, DOI 10.1016/0304-4203(93)90120-D
KARL DM, 1992, LIMNOL OCEANOGR, V37, P105, DOI 10.4319/lo.1992.37.1.0105
Kielbasa SM, 2011, GENOME RES, V21, P487, DOI 10.1101/gr.113985.110
KIM SK, 1993, J BACTERIOL, V175, P1316, DOI 10.1128/JB.175.5.1316-1324.1993
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kopf M, 2015, ISME J, V9, P2139, DOI 10.1038/ismej.2015.16
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
Kriest I, 2007, DEEP-SEA RES PT I, V54, P1593, DOI 10.1016/j.dsr.2007.04.017
Langklotz S, 2012, BBA-MOL CELL RES, V1823, P40, DOI 10.1016/j.bbamcr.2011.08.015
Lazar B., 2008, AQABA EILAT IMPROBAB, P49
Li MJ, 2015, POLIT ASIA, P1
Lindell D, 2005, LIMNOL OCEANOGR, V50, P1932, DOI 10.4319/lo.2005.50.6.1932
LINDELL D, 1995, LIMNOL OCEANOGR, V40, P1130, DOI 10.4319/lo.1995.40.6.1130
Mackey KRM, 2007, LIMNOL OCEANOGR, V52, P873, DOI 10.4319/lo.2007.52.2.0873
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
McKie-Krisberg ZM, 2014, ISME J, V8, P1953, DOI 10.1038/ismej.2014.16
Meeder E, 2012, MAR ECOL PROG SER, V453, P11, DOI 10.3354/meps09525
Melchers K, 1998, ARCH MICROBIOL, V169, P393, DOI 10.1007/s002030050588
Mende DR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031386
Merbt SN, 2012, FEMS MICROBIOL LETT, V327, P41, DOI 10.1111/j.1574-6968.2011.02457.x
Miller DR, 2017, MAR GENOM, V32, P23, DOI 10.1016/j.margen.2016.12.001
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moore LR, 2013, P NATL ACAD SCI USA, V110, P8323, DOI 10.1073/pnas.1305998110
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
OLSON RJ, 1990, DEEP-SEA RES, V37, P1033, DOI 10.1016/0198-0149(90)90109-9
Osmani AH, 1999, J BIOL CHEM, V274, P23565, DOI 10.1074/jbc.274.33.23565
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ouverney CC, 2000, APPL ENVIRON MICROB, V66, P4829, DOI 10.1128/AEM.66.11.4829-4833.2000
Paerl RW, 2017, ISME J, V11, P753, DOI 10.1038/ismej.2016.145
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pfreundt U, 2016, BIOGEOSCIENCES, V13, P4135, DOI 10.5194/bg-13-4135-2016
Pfreundt U, 2016, BIOGEOSCIENCES, V13, P2319, DOI 10.5194/bg-13-2319-2016
Pfreundt U, 2014, MAR GENOM, V18, P93, DOI 10.1016/j.margen.2014.06.005
Pinto FL, 2009, BMC MOL BIOL, V10, DOI 10.1186/1471-2199-10-79
Post AF, 2005, AQUAT ECOL SER, V3, P87
Raven JA, 2002, J PHYCOL, V38, P11, DOI 10.1046/j.1529-8817.2002.01125.x
Reiss Z., 1984, The Gulf of Aqaba: Ecological Micropaleontology
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Robinson MD, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-3-r25
Schleper C, 2005, NAT REV MICROBIOL, V3, P479, DOI 10.1038/nrmicro1159
SCHOTT F, 1991, J PHYS OCEANOGR, V21, P558, DOI 10.1175/1520-0485(1991)021<0558:OWMADC>2.0.CO;2
Severin T, 2014, DEEP-SEA RES PT I, V94, P62, DOI 10.1016/j.dsr.2014.07.015
Severin T, 2016, ENVIRON MICROBIOL, V18, P4378, DOI 10.1111/1462-2920.13324
Sharma CM, 2010, NATURE, V464, P250, DOI 10.1038/nature08756
Sosik HM, 2010, DEVEL APPL PHYCOL, V4, P171, DOI 10.1007/978-90-481-9268-7_8
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tamburini C, 2009, DEEP-SEA RES PT II, V56, P700, DOI 10.1016/j.dsr2.2008.07.021
Tarazona S, 2011, GENOME RES, V21, P2213, DOI 10.1101/gr.124321.111
Tatusova T, 2014, NUCLEIC ACIDS RES, V42, pD553, DOI 10.1093/nar/gkt1274
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thingstad TF, 1998, LIMNOL OCEANOGR, V43, P88, DOI 10.4319/lo.1998.43.1.0088
Thompson LR, 2017, ISME J, V11, P138, DOI 10.1038/ismej.2016.99
Thompson LR, 2013, ECOL EVOL, V3, P1780, DOI 10.1002/ece3.593
Throdsen J, 2012, MARINE PHYTOPLANKTON, P7
VELDHUIS MJW, 1990, MAR ECOL PROG SER, V68, P121, DOI 10.3354/meps068121
Voigt K, 2014, ISME J, V8, P2056, DOI 10.1038/ismej.2014.57
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
WOLFVECHT A, 1992, DEEP-SEA RES, V39, P1393, DOI 10.1016/0198-0149(92)90075-5
Yamada T, 2011, NUCLEIC ACIDS RES, V39, pW412, DOI 10.1093/nar/gkr313
Yelton AP, 2016, ISME J, V10, P2946, DOI 10.1038/ismej.2016.64
Yosef I, 2004, J BIOL CHEM, V279, P10148, DOI 10.1074/jbc.M308602200
Zaar A, 2004, MOL MICROBIOL, V54, P223, DOI 10.1111/j.1365-2958.2004.04263.x
NR 119
TC 4
Z9 5
PY 2018
VL 80
IS 3
BP 223
EP 242
DI 10.3354/ame01854
UT WOS:000418366100002
DA 2025-07-30
ER
PT J
AU Kellom, M
Pagliara, S
Richards, TA
Santoro, AE
AF Kellom, Matthew
Pagliara, Stefano
Richards, Thomas A.
Santoro, Alyson E.
TI Exaggerated trans-membrane charge of ammonium transporters in
nutrient-poor marine environments
SO OPEN BIOLOGY
DT Article
AB Transporter proteins are a vital interface between cells and their environment. In nutrient-limited environments, microbes with transporters that are effective at bringing substrates into their cells will gain a competitive advantage over variants with reduced transport function. Microbial ammonium transporters (Amt) bring ammonium into the cytoplasm from the surrounding periplasm space, but diagnosing Amt adaptations to low nutrient environments solely from sequence data has been elusive. Here, we report altered Amt sequence amino acid distribution from deep marine samples compared to variants sampled from shallow water in two important microbial lineages of the marine water column community-Marine Group I Archaea (Thermoproteota) and the uncultivated gammaproteobacterial lineage SAR86. This pattern indicates an evolutionary pressure towards an increasing dipole in Amt for these clades in deep ocean environments and is predicted to generate stronger electric fields facilitating ammonium acquisition. This pattern of increasing dipole charge with depth was not observed in lineages capable of accessing alternative nitrogen sources, including the abundant alphaproteobacterial clade SAR11. We speculate that competition for ammonium in the deep ocean drives transporter sequence evolution. The low concentration of ammonium in the deep ocean is therefore likely due to rapid uptake by Amts concurrent with decreasing nutrient flux.
C1 [Kellom, Matthew; Santoro, Alyson E.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93117 USA.
[Pagliara, Stefano] Univ Exeter, Living Syst Inst & Biosci, Exeter EX4 RQD, Devon, England.
[Richards, Thomas A.] Univ Oxford, Dept Zool, 11a Mansfield Rd, Oxford OX1 3SZ, England.
[Kellom, Matthew] DOE Joint Genome Inst, Lawrence Berkeley Natl Lab, Berkeley, CA USA.
RP Kellom, M; Santoro, AE (corresponding author), Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93117 USA.
EM mkellom@lbl.gov; asantoro@ucsb.edu
CR Abascal F, 2010, NUCLEIC ACIDS RES, V38, pW7, DOI 10.1093/nar/gkq291
Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
Akgun U, 2011, P NATL ACAD SCI USA, V108, P3970, DOI 10.1073/pnas.1007240108
Andrade SLA, 2005, P NATL ACAD SCI USA, V102, P14994, DOI 10.1073/pnas.0506254102
Apweiler R, 2004, NUCLEIC ACIDS RES, V32, pD115, DOI [10.1093/nar/gkh131, 10.1093/nar/gkw1099]
Ariz I, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar3599
Bachem, BACH PEPT CALC BACH
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bell TG, 2007, ENVIRON CHEM, V4, P183, DOI 10.1071/EN07032
Bernhardt JR, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0247
Blakey D, 2002, BIOCHEM J, V364, P527, DOI 10.1042/BJ20011761
Bostick DL, 2007, PLOS COMPUT BIOL, V3, P231, DOI 10.1371/journal.pcbi.0030022
Brown CJ, 1998, MOL BIOL EVOL, V15, P931, DOI 10.1093/oxfordjournals.molbev.a026009
BRZEZINSKI MA, 1988, LIMNOL OCEANOGR, V33, P1176, DOI 10.4319/lo.1988.33.5.1176
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Collier JL, 2009, ENVIRON MICROBIOL, V11, P3118, DOI 10.1111/j.1462-2920.2009.02016.x
Connelly TL, 2014, APPL ENVIRON MICROB, V80, P6013, DOI 10.1128/AEM.01431-14
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Fiksen O, 2013, LIMNOL OCEANOGR, V58, P193, DOI 10.4319/lo.2013.58.1.0193
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Hilty C, 2001, PHYS REV LETT, V86, P5624, DOI 10.1103/PhysRevLett.86.5624
Huergo LF, 2013, FEMS MICROBIOL REV, V37, P251, DOI 10.1111/j.1574-6976.2012.00351.x
Inwood WB, 2009, GENETICS, V183, P1341, DOI 10.1534/genetics.109.109579
Javelle A, 2008, P NATL ACAD SCI USA, V105, P5040, DOI 10.1073/pnas.0711742105
Käll L, 2007, NUCLEIC ACIDS RES, V35, pW429, DOI 10.1093/nar/gkm256
Karl DM, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P705, DOI 10.1016/B978-0-12-372522-6.00016-5
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kellom M., 2022, EXAGGERATED T MEMBRA, DOI [10.6084/m9.figshare.c.6070031, DOI 10.6084/M9.FIGSHARE.C.6070031]
Khademi S, 2004, SCIENCE, V305, P1587, DOI 10.1126/science.1101952
KLEINER D, 1985, FEMS MICROBIOL LETT, V32, P87, DOI 10.1111/j.1574-6968.1985.tb01185.x
Kuypers MMM, 2018, NAT REV MICROBIOL, V16, P263, DOI 10.1038/nrmicro.2018.9
Lehtovirta-Morley LE, 2016, APPL ENVIRON MICROB, V82, P2608, DOI 10.1128/AEM.04031-15
Letelier RM, 1996, DEEP-SEA RES PT II, V43, P467, DOI 10.1016/0967-0645(96)00006-9
Lever MA, 2015, FEMS MICROBIOL REV, V39, P688, DOI 10.1093/femsre/fuv020
Li DX, 2018, ENVIRON MICROBIOL, V20, P632, DOI 10.1111/1462-2920.13986
Lupo D, 2007, P NATL ACAD SCI USA, V104, P19303, DOI 10.1073/pnas.0706563104
Mahendran KR, 2010, J PHYS CHEM B, V114, P5170, DOI 10.1021/jp911485k
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
McDonald TR, 2012, MOL BIOL EVOL, V29, P51, DOI 10.1093/molbev/msr123
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Milanese A, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08844-4
Milner DS, 2019, P NATL ACAD SCI USA, V116, P5613, DOI 10.1073/pnas.1815994116
Monier A, 2017, P NATL ACAD SCI USA, V114, pE7489, DOI 10.1073/pnas.1708097114
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Müller T, 2006, CURR MICROBIOL, V52, P400, DOI 10.1007/s00284-005-0370-x
Nakagawa T, 2013, APPL ENVIRON MICROB, V79, P6911, DOI 10.1128/AEM.02028-13
Nikrad MP, 2014, APPL ENVIRON MICROB, V80, P3362, DOI 10.1128/AEM.00121-14
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Nygaard TP, 2006, BIOPHYS J, V91, P4401, DOI 10.1529/biophysj.106.089714
Offre P, 2014, TRENDS MICROBIOL, V22, P665, DOI 10.1016/j.tim.2014.07.007
Omasits U, 2014, BIOINFORMATICS, V30, P884, DOI 10.1093/bioinformatics/btt607
Pagliara S, 2014, PHYS REV LETT, V113, DOI 10.1103/PhysRevLett.113.048102
Pagliara S, 2013, ADV MATER, V25, P844, DOI 10.1002/adma.201203500
Porschke D, 1997, BIOPHYS CHEM, V66, P241, DOI 10.1016/S0301-4622(97)00060-4
Qin W, 2020, ISME J, V14, P2595, DOI 10.1038/s41396-020-0710-7
R Core Team, 2020, R LANG ENV STAT COMP
Raimbault P, 2008, BIOGEOSCIENCES, V5, P323, DOI 10.5194/bg-5-323-2008
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rinke C, 2021, NAT MICROBIOL, V6, P946, DOI 10.1038/s41564-021-00918-8
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Santoro AE, 2013, BIOGEOSCIENCES, V10, P7395, DOI 10.5194/bg-10-7395-2013
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Shenhav L, 2020, SCIENCE, V370, P683, DOI 10.1126/science.aaz9642
Song H, 2021, CELL SYST, V12, P92, DOI 10.1016/j.cels.2020.10.007
Soupene E, 1998, P NATL ACAD SCI USA, V95, P7030, DOI 10.1073/pnas.95.12.7030
Soupene E, 2002, P NATL ACAD SCI USA, V99, P3926, DOI 10.1073/pnas.062043799
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Thomas GH, 2000, MOL MICROBIOL, V37, P331, DOI 10.1046/j.1365-2958.2000.01994.x
Ullmann RT, 2012, J PHYS CHEM B, V116, P9690, DOI 10.1021/jp305440f
VONHEIJNE G, 1986, EMBO J, V5, P3021, DOI 10.1002/j.1460-2075.1986.tb04601.x
Wacker T, 2014, P NATL ACAD SCI USA, V111, P9995, DOI 10.1073/pnas.1406409111
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Weidinger K, 2007, FEMS MICROBIOL LETT, V273, P260, DOI 10.1111/j.1574-6968.2007.00805.x
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Zheng L, 2004, P NATL ACAD SCI USA, V101, P17090, DOI 10.1073/pnas.0406475101
NR 84
TC 3
Z9 4
PD JUL 13
PY 2022
VL 12
IS 7
AR 220041
DI 10.1098/rsob.220041
UT WOS:000848395700001
DA 2025-07-30
ER
PT J
AU Sabehi, G
Kirkup, BC
Rozenberg, M
Stambler, N
Polz, MF
Béjà, O
AF Sabehi, Gazalah
Kirkup, Benjamin C.
Rozenberg, Mira
Stambler, Noga
Polz, Martin F.
Beja, Oded
TI Adaptation and spectral tuning in divergent marine proteorhodopsins from
the eastern Mediterranean and the Sargasso Seas
SO ISME JOURNAL
DT Article
AB Proteorhodopsins (PRs) phototrophy was recently discovered in oceanic surface waters. PRs have been observed in different marine environments and in diverse taxa, including the ubiquitous marine alphaproteobacterial SAR11 group and the uncultured gammaproteobacterial SAR86 group. Previously, two SAR86 PR subgroups, discovered in the Pacific Ocean, were shown to absorb light with different maxima, lambda(max) 527nm ( green) and lambda(max) 490nm ( blue) and their distribution was explained by prevailing light conditions - green pigments at the surface and blue in deeper waters. Here, we show that PRs display high diversity in geographically distinct patterns despite similar physical water column properties such as mixing and light penetration. We compared summer and winter samples representing stratified and mixed conditions from both the Mediterranean and Sargasso Sea. As expected, in the Mediterranean Sea, green pigments were mainly confined to the surface and the percentage of blue pigments increased toward deeper samples; in the Sargasso Sea, unexpectedly, all PRs were of the blue type. As an additional result, both locations show seasonal dependence in the distribution of different PR families. Finally, spectral tuning was not restricted to a single PR family as previously reported but occurs across the sampled PR families from various microbial taxa. The distribution of tunable PRs across the PR tree suggests that ready adaptability has been distributed widely among microorganisms, and may be a reason that PRs are abundant and taxonomically widely dispersed.
C1 MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
Technion Israel Inst Technol, Dept Biol, IL-32000 Haifa, Israel.
Bar Ilan Univ, Fac Life Sci, Ramat Gan, Israel.
RP Polz, MF (corresponding author), MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
EM mpolz@mit.edu; beja@tx.technion.ac.il
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
[Anonymous], 2013, ESTIMATES STAT ESTIM
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bielawski JP, 2004, P NATL ACAD SCI USA, V101, P14824, DOI 10.1073/pnas.0403999101
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Klepac-Ceraj V., 2006, Online J. Bioinformatics, V7, P15
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
MARTINEZ A, 2007, P NATL ACAD SCI US
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Okamoto OK, 2003, J PHYCOL, V39, P519, DOI 10.1046/j.1529-8817.2003.02170.x
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schloss PD, 2004, APPL ENVIRON MICROB, V70, P5485, DOI 10.1128/AEM.70.9.5485-5492.2004
Sharma AK, 2006, TRENDS MICROBIOL, V14, P463, DOI 10.1016/j.tim.2006.09.006
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
STINGL U, 2007, APPL ENV MICROBIOL
Stomp M, 2004, NATURE, V432, P104, DOI 10.1038/nature03044
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
SWOFFORD DL, 2002, PAUP PHYLOGENETIC AN
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Thurman H.V., 1999, Essentials of Oceanography, V6th
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
NR 34
TC 53
Z9 64
PD MAY
PY 2007
VL 1
IS 1
BP 48
EP 55
DI 10.1038/ismej.2007.10
UT WOS:000249215800008
DA 2025-07-30
ER
PT J
AU Kan, J
Evans, SE
Chen, F
Suzuki, MT
AF Kan, Jinjun
Evans, Sarah E.
Chen, Feng
Suzuki, Marcelino T.
TI Novel estuarine bacterioplankton in rRNA operon libraries from the
Chesapeake Bay
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Compared to open oceans and freshwater systems, less is known about the phylogenetic diversity in temperate estuaries. In the present study, 6 rRNA operon libraries constructed along the salinity gradient in the Chesapeake Bay in 2 different seasons were analyzed and sequenced. Phylogenetic analyses showed that Chesapeake Bay bacterioplankton represented a mixture of typical marine and freshwater clades, but several groups that had not been previously retrieved from either system were also found in the bay. Unique or novel SAR11 (Pelagibacter ubique), Roseobacter, SAR86 and Actinobacteria subclades present in the bay suggested that these microorganisms might be adapted to large temperate estuaries with long residence times, such as the Chesapeake Bay. These results represent the first comprehensive study of phylogenetic diversity in estuaries with long residence times.
C1 [Evans, Sarah E.; Suzuki, Marcelino T.] Univ Maryland, Chesapeake Biol Lab, Ctr Environm Sci, Solomons, MD 20688 USA.
[Kan, Jinjun; Chen, Feng] Univ Maryland, Ctr Marine Biotechnol, Inst Biotechnol, Baltimore, MD 21202 USA.
RP Suzuki, MT (corresponding author), Univ Maryland, Chesapeake Biol Lab, Ctr Environm Sci, Solomons, MD 20688 USA.
EM suzuki@cbl.umces.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
[Anonymous], 1969, Mammalian Protein Metabolism, DOI DOI 10.1016/B978-1-4832-3211-9.50009-7
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Barbieri E, 2007, ENVIRON MICROBIOL, V9, P2234, DOI 10.1111/j.1462-2920.2007.01338.x
BIDLE KD, 1995, APPL ENVIRON MICROB, V61, P944, DOI 10.1128/AEM.61.3.944-952.1995
Bourne DG, 2005, ENVIRON MICROBIOL, V7, P1162, DOI 10.1111/j.1462-2920.2005.00793.x
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Chen F, 2006, APPL ENVIRON MICROB, V72, P2239, DOI 10.1128/AEM.72.3.2239-2243.2006
Cottrell MT, 2005, ENVIRON MICROBIOL, V7, P1883, DOI 10.1111/j.1462-2920.2005.00762.x
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Donachie SP, 2004, MICROB ECOL, V48, P509, DOI 10.1007/s00248-004-0217-1
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Glatz RE, 2006, GEOBIOLOGY, V4, P53, DOI 10.1111/j.1472-4669.2006.00057.x
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Hahn MW, 2004, J MICROBIOL METH, V57, P379, DOI 10.1016/j.mimet.2004.02.004
Henriques IS, 2004, FEMS MICROBIOL ECOL, V49, P269, DOI 10.1016/j.femsec.2004.04.003
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Hold GL, 2001, FEMS MICROBIOL ECOL, V37, P161, DOI 10.1111/j.1574-6941.2001.tb00864.x
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Humayoun SB, 2003, APPL ENVIRON MICROB, V69, P1030, DOI 10.1128/AEM.69.2.1030-1042.2003
KAN J, 2006, THESIS U MARYLAND
Kan J, 2007, APPL ENVIRON MICROB, V73, P6776, DOI 10.1128/AEM.00541-07
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Kisand V, 2003, APPL ENVIRON MICROB, V69, P3607, DOI 10.1128/AEM.69.6.3607-3616.2003
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Maidak BL, 1997, NUCLEIC ACIDS RES, V25, P109, DOI 10.1093/nar/25.1.109
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Nixon SW, 1996, BIOGEOCHEMISTRY, V35, P141, DOI 10.1007/BF02179826
O'Sullivan LA, 2005, INT J SYST EVOL MICR, V55, P2189, DOI 10.1099/ijs.0.63736-0
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Oz A, 2005, APPL ENVIRON MICROB, V71, P344, DOI 10.1128/AEM.71.1.344-353.2005
Penn K, 2006, APPL ENVIRON MICROB, V72, P1680, DOI 10.1128/AEM.72.2.1680-1683.2006
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Radajewski S, 2002, MICROBIOL-SGM, V148, P2331, DOI 10.1099/00221287-148-8-2331
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
RUGER HJ, 1992, INT J SYST BACTERIOL, V42, P133, DOI 10.1099/00207713-42-1-133
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Selje N, 2005, AQUAT MICROB ECOL, V39, P17, DOI 10.3354/ame039017
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
Smith D., 1992, OXYGEN DYNAMICS CHES
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Teske A, 2000, APPL ENVIRON MICROB, V66, P3125, DOI 10.1128/AEM.66.8.3125-3133.2000
Van Trappen S, 2002, SYST APPL MICROBIOL, V25, P603, DOI 10.1078/07232020260517742
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Wu QL, 2006, APPL ENVIRON MICROB, V72, P5478, DOI 10.1128/AEM.00767-06
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 64
TC 48
Z9 58
PD APR 24
PY 2008
VL 51
IS 1
BP 55
EP 66
DI 10.3354/ame01177
UT WOS:000256190600006
DA 2025-07-30
ER
PT J
AU Parsons, RJ
Breitbart, M
Lomas, MW
Carlson, CA
AF Parsons, Rachel J.
Breitbart, Mya
Lomas, Michael W.
Carlson, Craig A.
TI Ocean time-series reveals recurring seasonal patterns of virioplankton
dynamics in the northwestern Sargasso Sea
SO ISME JOURNAL
DT Article
AB There are an estimated 1030 virioplankton in the world oceans, the majority of which are phages (viruses that infect bacteria). Marine phages encompass enormous genetic diversity, affect biogeochemical cycling of elements, and partially control aspects of prokaryotic production and diversity. Despite their importance, there is a paucity of data describing virioplankton distributions over time and depth in oceanic systems. A decade of high-resolution time-series data collected from the upper 300m in the northwestern Sargasso Sea revealed recurring temporal and vertical patterns of virioplankton abundance in unprecedented detail. An annual virioplankton maximum developed between 60 and 100m during periods of summer stratification and eroded during winter convective mixing. The timing and vertical positioning of this seasonal pattern was related to variability in water column stability and the dynamics of specific picophytoplankton and heterotrophic bacterioplankton lineages. Between 60 and 100 m, virioplankton abundance was negatively correlated to the dominant heterotrophic bacterioplankton lineage SAR11, as well as the less abundant picophytoplankton, Synechococcus. In contrast, virioplankton abundance was positively correlated to the dominant picophytoplankton lineage Prochlorococcus, and the less abundant alpha-proteobacteria, Rhodobacteraceae. Seasonally, virioplankton abundances were highly synchronous with Prochl orococcus distributions and the virioplankton to Prochlorococcus ratio remained remarkably constant during periods of water column stratification. The data suggest that a significant fraction of viruses in the mid-euphotic zone of the subtropical gyres may be cyanophages and patterns in their abundance are largely determined by Prochlorococcus dynamics in response to water column stability. This high-resolution, decadal survey of virioplankton abundance provides insight into the possible controls of virioplankton dynamics in the open ocean. The ISME Journal (2012) 6, 273-284; doi: 10.1038/ismej.2011.101; published online 11 August 2011
C1 [Carlson, Craig A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Parsons, Rachel J.; Lomas, Michael W.] Bermuda Inst Ocean Sci, St Georges GE01, Bermuda.
[Breitbart, Mya] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA.
RP Carlson, CA (corresponding author), Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
EM carlson@lifesci.ucsb.edu
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Angly F, 2009, ENVIRON MICROBIOL, V11, P2863, DOI 10.1111/j.1462-2920.2009.02021.x
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Bergh, 1989, NATURE, V340, P467
BOEHME J, 1993, MAR ECOL PROG SER, V97, P1, DOI 10.3354/meps097001
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Carlson CA, 1996, DEEP-SEA RES PT II, V43, P491, DOI 10.1016/0967-0645(95)00101-8
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Casey JR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028725
COCHLAN WP, 1993, MAR ECOL PROG SER, V92, P77, DOI 10.3354/meps092077
Culley AI, 2002, LIMNOL OCEANOGR, V47, P1508, DOI 10.4319/lo.2002.47.5.1508
Dinsdale EA, 2008, NATURE, V452, P629, DOI 10.1038/nature06810
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Durand MD, 1996, DEEP-SEA RES PT II, V43, P891, DOI 10.1016/0967-0645(96)00020-3
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
de Araújo MFF, 2009, MICROBIOL RES, V164, P411, DOI 10.1016/j.micres.2007.02.011
Fuhrman JA, 2003, BIOL BULL-US, V204, P192, DOI 10.2307/1543557
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Guixa-Boixereu N, 1999, AQUAT MICROB ECOL, V19, P205, DOI 10.3354/ame019205
Hara S, 1996, MAR ECOL PROG SER, V145, P269, DOI 10.3354/meps145269
ITURRIAGA R, 1988, MAR ECOL PROG SER, V44, P175, DOI 10.3354/meps044175
JIANG SC, 1994, MAR ECOL PROG SER, V104, P163, DOI 10.3354/meps104163
Lennon JT, 2007, ISME J, V1, P300, DOI 10.1038/ismej.2007.37
Lomas MW, 2010, BIOGEOSCIENCES, V7, P57, DOI 10.5194/bg-7-57-2010
Marchant H, 2000, ANTARCT SCI, V12, P414
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Murdoch WW, 2003, Consumer-resource dynamics. Number 36 in Monographs in population biology
MURRAY AG, 1992, MAR ECOL PROG SER, V89, P103, DOI 10.3354/meps089103
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Noble RT, 2000, APPL ENVIRON MICROB, V66, P3790, DOI 10.1128/AEM.66.9.3790-3797.2000
OLSON RJ, 1990, LIMNOL OCEANOGR, V35, P45, DOI 10.4319/lo.1990.35.1.0045
Poorvin L, 2004, LIMNOL OCEANOGR, V49, P1734, DOI 10.4319/lo.2004.49.5.1734
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rohwer F, 2000, LIMNOL OCEANOGR, V45, P408, DOI 10.4319/lo.2000.45.2.0408
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Rowe JM, 2008, AQUAT MICROB ECOL, V52, P233, DOI 10.3354/ame01231
Sandaa RA, 2006, APPL ENVIRON MICROB, V72, P4610, DOI 10.1128/AEM.00168-06
SPRINTALL J, 1992, J GEOPHYS RES-OCEANS, V97, P7305, DOI 10.1029/92JC00407
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
SUTTLE CA, 1994, MICROBIAL ECOL, V28, P237, DOI 10.1007/BF00166813
SUTTLE CA, 1992, APPL ENVIRON MICROB, V58, P3721, DOI 10.1128/AEM.58.11.3721-3729.1992
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Weinbauer MG, 1999, AQUAT MICROB ECOL, V18, P217, DOI 10.3354/ame018217
WEINBAUER MG, 1995, MICROBIAL ECOL, V30, P25, DOI 10.1007/BF00184511
Wen K, 2004, APPL ENVIRON MICROB, V70, P3862, DOI 10.1128/AEM.70.7.3862-3867.2004
Williamson SJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001456
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Wommack KE, 1996, APPL ENVIRON MICROB, V62, P1336, DOI 10.1128/AEM.62.4.1336-1341.1996
Yang YH, 2010, AQUAT MICROB ECOL, V60, P233, DOI 10.3354/ame01428
Zhao YL, 2009, ENVIRON MICROBIOL, V11, P2055, DOI 10.1111/j.1462-2920.2009.01927.x
NR 63
TC 117
Z9 142
PD FEB
PY 2012
VL 6
IS 2
BP 273
EP 284
DI 10.1038/ismej.2011.101
UT WOS:000300984200006
DA 2025-07-30
ER
PT J
AU Willis, C
Desai, D
LaRoche, J
AF Willis, Ciara
Desai, Dhwani
LaRoche, Julie
TI Influence of 16S rRNA variable region on perceived diversity of marine
microbial communities of the Northern North Atlantic
SO FEMS MICROBIOLOGY LETTERS
DT Article
AB Marine microbes play essential roles in global energy and nutrient cycles. A primary method of determining their diversity and distribution is through sequencing of 16S ribosomal RNA genes from environmental samples. However, the perceived community composition may vary significantly based on differences in methodology, including choice of 16S variable region(s). This study investigated the influence of 16S variable region selection (V4-V5 or V6-V8) on perceived community composition and diversity for bacteria, Archaea and chloroplasts by tag-Illumina sequencing. We used 24 samples from the photic zone of the Scotian Shelf, northwest Atlantic, collected during a spring phytoplankton bloom. Taxonomic assignment and community composition varied greatly depending on the choice of variable regions while observed patterns of beta diversity were reproducible between variable regions. V4-V5 was considered the preferred variable region for future studies based on its superior recognition of Archaea, which has received little attention in bloom dynamics. The V6-V8 region captured more of the bacterial diversity, including the abundant SAR11 clades and, to a lesser extent, that of chloroplasts. However, the magnitude of difference between variable regions for bacteria and chloroplast was less than for Archaea.
C1 [Willis, Ciara; Desai, Dhwani; LaRoche, Julie] Dalhousie Univ, Dept Biol, Halifax, NS B3H 4R2, Canada.
RP LaRoche, J (corresponding author), Dalhousie Univ, Dept Biol, Halifax, NS B3H 4R2, Canada.
EM Julie.LaRoche@dal.ca
CR [Anonymous], 2019, COMMUNITY ECOLOGY PA
[Anonymous], SCI REP
[Anonymous], DFO CAN SCI ADVIS SE
[Anonymous], 2019, FRONT MICROBIOL
[Anonymous], 2017, BIORXIV, DOI DOI 10.1101/170639
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Barb JJ, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0148047
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Choi CJ, 2017, CURR BIOL, V27, pR15, DOI 10.1016/j.cub.2016.11.032
Comeau AM, 2017, MSYSTEMS, V2, DOI 10.1128/mSystems.00127-16
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Cruaud P, 2014, APPL ENVIRON MICROB, V80, P4626, DOI 10.1128/AEM.00592-14
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
Epstein SS, 2013, CURR OPIN MICROBIOL, V16, P636, DOI 10.1016/j.mib.2013.08.003
Fadeev E, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00429
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gotelli NJ, 2001, ECOL LETT, V4, P379, DOI 10.1046/j.1461-0248.2001.00230.x
Guo FD, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0076185, 10.1371/journal.pone.0071714]
Hazen TC, 2013, CURR OPIN BIOTECH, V24, P526, DOI 10.1016/j.copbio.2012.10.020
Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
Kim M, 2011, J MICROBIOL METH, V84, P81, DOI 10.1016/j.mimet.2010.10.020
KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kopylova E, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00003-15
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
R Core Team, 2018, R LANG ENV STAT COMP
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Schmalenberger A, 2001, APPL ENVIRON MICROB, V67, P3557, DOI 10.1128/AEM.67.8.3557-3563.2001
Sergeev M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036215
Shade A, 2014, MBIO, V5, DOI 10.1128/mBio.01371-14
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Therriault J.-C., 1998, CAN TECH REP HYDROGR, V194
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
Venables WN., 2002, Modern Applied Statistics with S, V4, DOI DOI 10.1007/978-0-387-21706-2
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
Yang B, 2016, BMC BIOINFORMATICS, V17, DOI 10.1186/s12859-016-0992-y
Yu ZT, 2004, APPL ENVIRON MICROB, V70, P4800, DOI 10.1128/AEM.70.8.4800-4806.2004
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 46
TC 48
Z9 50
PD JUL
PY 2019
VL 366
IS 13
AR fnz152
DI 10.1093/femsle/fnz152
UT WOS:000493065400003
DA 2025-07-30
ER
PT J
AU Kim, HJ
Kim, KE
Kim, YJ
Kang, HG
Shin, JW
Kim, S
Lee, SH
Jung, SW
Lee, TK
AF Kim, Hyun-Jung
Kim, Kang Eun
Kim, Yu Jin
Kang, Hangoo
Shin, Ji Woo
Kim, Soohyun
Lee, Sang Heon
Jung, Seung Won
Lee, Taek-Kyun
TI Marine Bacterioplankton Community Dynamics and Potentially Pathogenic
Bacteria in Seawater around Jeju Island, South Korea, via Metabarcoding
SO INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
DT Article
AB Understanding marine bacterioplankton composition and distribution is necessary for improving predictions of ecosystem responses to environmental change. Here, we used 16S rRNA metabarcoding to investigate marine bacterioplankton diversity and identify potential pathogenic bacteria in seawater samples collected in March, May, September, and December 2013 from two sites near Jeju Island, South Korea. We identified 1343 operational taxonomic units (OTUs) and observed that community diversity varied between months. Alpha- and Gamma-proteobacteria were the most abundant classes, and in all months, the predominant genera were Candidatus Pelagibacter, Leisingera, and Citromicrobium. The highest number of OTUs was observed in September, and Vibrio (7.80%), Pseudoalteromonas (6.53%), and Citromicrobium (6.16%) showed higher relative abundances or were detected only in this month. Water temperature and salinity significantly affected bacterial distribution, and these conditions, characteristic of September, were adverse for Aestuariibacter but favored Citromicrobium. Potentially pathogenic bacteria, among which Vibrio (28 OTUs) and Pseudoalteromonas (six OTUs) were the most abundant in September, were detected in 49 OTUs, and their abundances were significantly correlated with water temperature, increasing rapidly in September, the warmest month. These findings suggest that monthly temperature and salinity variations affect marine bacterioplankton diversity and potential pathogen abundance.
C1 [Kim, Hyun-Jung; Kim, Kang Eun; Kim, Yu Jin; Shin, Ji Woo; Kim, Soohyun; Jung, Seung Won] Korea Inst Ocean Sci & Technol, Lib Marine Samples, Geoje 53201, South Korea.
[Kim, Hyun-Jung; Lee, Sang Heon] Pusan Natl Univ, Dept Oceanog, Busan 46241, South Korea.
[Kim, Hyun-Jung; Lee, Sang Heon] Pusan Natl Univ, Marine Res Inst, Busan 46241, South Korea.
[Kim, Kang Eun; Kim, Yu Jin; Jung, Seung Won; Lee, Taek-Kyun] Univ Sci & Technol, Dept Ocean Sci, Daejeon 34113, South Korea.
[Kang, Hangoo] Korea Inst Ocean Sci & Technol, Vessel Operat & Observat Team, Geoje 53201, South Korea.
[Lee, Taek-Kyun] Korea Inst Ocean Sci & Technol, Ecol Risk Res Dept, Geoje 53201, South Korea.
RP Jung, SW (corresponding author), Korea Inst Ocean Sci & Technol, Lib Marine Samples, Geoje 53201, South Korea.; Jung, SW; Lee, TK (corresponding author), Univ Sci & Technol, Dept Ocean Sci, Daejeon 34113, South Korea.; Lee, TK (corresponding author), Korea Inst Ocean Sci & Technol, Ecol Risk Res Dept, Geoje 53201, South Korea.
EM diatoms@kiost.ac.kr; tklee@kiost.ac.kr
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Aeby GS, 2010, DIS AQUAT ORGAN, V91, P1, DOI 10.3354/dao02247
Amin AKMR, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01185
Andree KB, 2021, J APPL MICROBIOL, V130, P617, DOI 10.1111/jam.14756
Guisande JA, 2008, J SHELLFISH RES, V27, P801, DOI 10.2983/0730-8000(2008)27[801:GDOCVS]2.0.CO;2
Aravindraja C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0076724
Audic S, 1997, GENOME RES, V7, P986, DOI 10.1101/gr.7.10.986
Austin B, 2005, ENVIRON MICROBIOL, V7, P1488, DOI 10.1111/j.1462-2920.2005.00847.x
Baek SH, 2014, OCEAN SCI J, V49, P291, DOI 10.1007/s12601-014-0029-2
Benjamini Y, 2001, ANN STAT, V29, P1165
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Bruto M, 2017, ISME J, V11, P1043, DOI 10.1038/ismej.2016.162
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Duperthuy M, 2011, P NATL ACAD SCI USA, V108, P2993, DOI 10.1073/pnas.1015326108
Farto R, 2003, J INVERTEBR PATHOL, V83, P149, DOI 10.1016/S0022-2011(03)00067-3
Fernández-Alvarez C, 2019, J AQUAT ANIM HEALTH, V31, P320, DOI 10.1002/aah.10085
Fichi G, 2015, DIS AQUAT ORGAN, V115, P147, DOI 10.3354/dao02877
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Goecke F, 2013, EUR J PHYCOL, V48, P47, DOI 10.1080/09670262.2013.767944
Gökbulak F, 2002, GRASS FORAGE SCI, V57, P395, DOI 10.1046/j.1365-2494.2002.00330.x
Gontcharova Viktoria, 2010, Open Microbiol J, V4, P47, DOI 10.2174/1874285801004010047
Harrison J, 2022, WATER RES, V211, DOI 10.1016/j.watres.2021.117942
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Ho HTK, 2006, VET MICROBIOL, V115, P1, DOI [10.1016/j.vetmic.2006.03.004, 10.1016/j.vetmic.2005.11.051]
Houf K, 2007, J MICROBIOL METH, V68, P408, DOI 10.1016/j.mimet.2006.09.020
Huang BW, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9102161
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Ivanova EP, 2001, INT J SYST EVOL MICR, V51, P1071, DOI 10.1099/00207713-51-3-1071
Jalali S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0128711
Jang SH, 2018, HARMFUL ALGAE, V80, P149, DOI 10.1016/j.hal.2018.11.007
Jeong G, 2023, MAR POLLUT BULL, V193, DOI 10.1016/j.marpolbul.2023.115149
Jiao CC, 2020, SCI TOTAL ENVIRON, V740, DOI 10.1016/j.scitotenv.2020.140010
Johnson LG, 2002, J FOOD PROTECT, V65, P1789, DOI 10.4315/0362-028X-65.11.1789
Jung SW, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86590-8
Kang J, 2021, MOL ECOL, V30, P207, DOI 10.1111/mec.15714
Kazar J, 2005, ANN NY ACAD SCI, V1063, P105, DOI 10.1196/annals.1355.018
Kesarcodi-Watson A, 2009, J FISH DIS, V32, P499, DOI 10.1111/j.1365-2761.2009.01006.x
Kim HJ, 2016, MAR POLLUT BULL, V106, P139, DOI 10.1016/j.marpolbul.2016.03.015
Kim HJ, 2023, HARMFUL ALGAE, V122, DOI 10.1016/j.hal.2022.102371
Kim HJ, 2021, MAR POLLUT BULL, V172, DOI 10.1016/j.marpolbul.2021.112895
Kim SH, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8030157
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kozinska A, 2014, B VET I PULAWY, V58, P193, DOI 10.2478/bvip-2014-0029
KRUSKAL WH, 1952, J AM STAT ASSOC, V47, P583, DOI 10.1080/01621459.1952.10483441
Kunin V, 2010, ENVIRON MICROBIOL, V12, P118, DOI 10.1111/j.1462-2920.2009.02051.x
Labreuche Y, 2006, MICROBES INFECT, V8, P2715, DOI 10.1016/j.micinf.2006.07.020
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Le Roux F, 2005, INT J SYST EVOL MICR, V55, P2251, DOI 10.1099/ijs.0.63666-0
Lee OO, 2011, ISME J, V5, P650, DOI 10.1038/ismej.2010.165
Levican A, 2013, APPL ENVIRON MICROB, V79, P4951, DOI 10.1128/AEM.01073-13
Li JS, 2022, MICROB ECOL, V84, P1288, DOI 10.1007/s00248-021-01909-2
[李杰 Li Jie], 2019, [渔业科学进展, Progress in Fishery Sciences], V40, P140
Li SY, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000626
Li SF, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.798544
Li WZ, 2012, BRIEF BIOINFORM, V13, P656, DOI 10.1093/bib/bbs035
Liu HZ, 2010, J INVERTEBR PATHOL, V105, P236, DOI 10.1016/j.jip.2010.05.016
Lovoll M, 2009, FISH SHELLFISH IMMUN, V26, P877, DOI 10.1016/j.fsi.2009.03.019
Manan H, 2022, AQUAC RES, V53, P2029, DOI 10.1111/are.15731
Martins P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080847
Mondal S.K., 2016, INT J BIOSCI, V8, P55, DOI DOI 10.12692/ijb/8.4.55-61
Nemergut DR, 2011, ENVIRON MICROBIOL, V13, P135, DOI 10.1111/j.1462-2920.2010.02315.x
Oksanen Jari., 2022, The Comprehensive R Archive Network
Osaka K, 2004, EPIDEMIOL INFECT, V132, P993, DOI 10.1017/S0950268804002407
Park KI, 2006, AQUACULTURE, V255, P610, DOI 10.1016/j.aquaculture.2005.12.011
Costa JCCP, 2020, FOOD MICROBIOL, V90, DOI 10.1016/j.fm.2020.103498
Pérez-Cataluña A, 2016, SYST APPL MICROBIOL, V39, P361, DOI 10.1016/j.syapm.2016.03.010
Piñeiro-Vidal M, 2008, INT J SYST EVOL MICR, V58, P21, DOI 10.1099/ijs.0.65397-0
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Popovic NT, 2022, ENVIRON SCI POLLUT R, V29, P82986, DOI 10.1007/s11356-022-21573-4
Qian W, 2002, THEOR APPL CLIMATOL, V73, P151, DOI 10.1007/s00704-002-0679-3
Qiao G, 2013, FISHERIES SCI, V79, P99, DOI 10.1007/s12562-012-0567-4
Ramamurthy T, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00091
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ray A, 2016, MBIO, V7, DOI 10.1128/mBio.01077-16
Riemann L, 2001, MICROB ECOL, V42, P274, DOI 10.1007/s00248-001-0018-8
Robino E, 2020, ENVIRON MICROBIOL, V22, P4183, DOI 10.1111/1462-2920.14770
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Ruiz P, 2019, MICROORGANISMS, V7, DOI 10.3390/microorganisms7090313
Sánchez-Porro C, 2003, EXTREMOPHILES, V7, P221, DOI 10.1007/s00792-003-0316-9
Schaeck M, 2016, VET MICROBIOL, V185, P41, DOI 10.1016/j.vetmic.2016.01.024
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schwarzer G., 2022, Systematic Reviews in Health Research: Meta-Analysis in Context, P510, DOI [DOI 10.1002/9781119099369.CH26, 10.1002/9781119099369.ch26]
SEIFERT H, 1993, CLIN INFECT DIS, V17, P632, DOI 10.1093/clinids/17.4.632
Sicuro B, 2016, REV FISH SCI AQUAC, V24, P314, DOI 10.1080/23308249.2016.1187583
SIMIDU U, 1990, INT J SYST BACTERIOL, V40, P331, DOI 10.1099/00207713-40-4-331
Song JY, 2021, AQUACULTURE, V533, DOI 10.1016/j.aquaculture.2020.736043
Suh SS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131633
Torres M, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0195176
Urbanczyk H, 2011, J BACTERIOL, V193, P3144, DOI 10.1128/JB.00370-11
Verschuere L, 2000, APPL ENVIRON MICROB, V66, P1139, DOI 10.1128/AEM.66.3.1139-1146.2000
Villamil L, 2003, J FISH DIS, V26, P321, DOI 10.1046/j.1365-2761.2003.00464.x
Wang LP, 2015, AQUAC RES, V46, P395, DOI 10.1111/are.12191
Wang X, 2016, J FISH DIS, V39, P765, DOI 10.1111/jfd.12411
Wang Y., 2006, J FISH SCI CHINA, V13, DOI [10.1360/aps050066, DOI 10.1360/APS050066]
Weiland-Bräuer N, 2020, MBIO, V11, DOI 10.1128/mBio.02336-20
WILCOXON F, 1946, J ECON ENTOMOL, V39, P269, DOI 10.1093/jee/39.2.269
Yang M, 2022, MAR POLLUT BULL, V184, DOI 10.1016/j.marpolbul.2022.114190
Yi HN, 2004, INT J SYST EVOL MICR, V54, P571, DOI 10.1099/ijs.0.02798-0
Yu BB, 2023, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.1056147
Yurkov VV, 1999, J BACTERIOL, V181, P4517, DOI 10.1128/JB.181.15.4517-4525.1999
[张运林 Zhang Yunlin], 2003, [生态环境, Ecology and Environment], V12, P405
NR 104
TC 3
Z9 3
PD SEP
PY 2023
VL 24
IS 17
AR 13561
DI 10.3390/ijms241713561
UT WOS:001144825800001
DA 2025-07-30
ER
PT J
AU Lajnef, R
Quéméneur, M
Abdennadher, M
Walha, LD
Hamza, A
Belhassen, M
Zouari, AB
AF Lajnef, Rim
Quemeneur, Marianne
Abdennadher, Moufida
Walha, Lamia Dammak
Hamza, Asma
Belhassen, Malika
Zouari, Amel Bellaaj
TI Prokaryotic Diversity and Dynamics during Dinoflagellate Bloom Decays in
Coastal Tunisian Waters
SO DIVERSITY-BASEL
DT Article
AB (1) Background: Harmful algal blooms (HABs) can negatively impact marine ecosystems, but few studies have evaluated the microbial diversity associated with HABs and its potential role in the fates of these proliferations. (2) Methods: Marine prokaryotic diversity was investigated using high-throughput sequencing of the 16S rRNA gene during the bloom declines of two dinoflagellates detected in the summer of 2019 along the northern and southern Tunisian coasts (South Mediterranean Sea). The species Gymnodinium impudicum (Carthage, Tunis Gulf) and Alexandrium minutum (Sfax, Gabes Gulf) were identified using microscopy and molecular methods and were related to physicochemical factors and prokaryotic compositions. (3) Results: The abundance of G. impudicum decreased over time with decreasing phosphate concentrations. During the G. impudicum bloom decay, prokaryotes were predominated by the archaeal MGII group (Thalassarchaeaceae), Pelagibacterales (SAR11), Rhodobacterales, and Flavobacteriales. At Sfax, the abundance of A. minutum declined with decreasing phosphate concentrations and increasing pH. At the A. minutum peak, prokaryotic communities were largely dominated by anoxygenic phototrophic sulfur-oxidizing Chromatiaceae (Gammaproteobacteria) before decreasing at the end of the survey. Both the ubiquitous archaeal MGII group and Pelagibacterales were found in low proportions during the A. minutum decay. Contrary to the photosynthetic Cyanobacteria, the photo-autotrophic and -heterotrophic Rhodobacterales and Flavobacteriales contents remained stable during the dinoflagellate bloom decays. (4) Conclusions: These results indicated changes in prokaryotic community diversity during dinoflagellate bloom decays, suggesting different bacterial adaptations to environmental conditions, with stable core populations that were potentially able to degrade HABs.
C1 [Lajnef, Rim; Abdennadher, Moufida; Walha, Lamia Dammak; Hamza, Asma; Belhassen, Malika; Zouari, Amel Bellaaj] Inst Natl Sci & Technol Mer, 28 Rue 2 Mars 1934, Salammbo 2025, Tunisia.
[Quemeneur, Marianne] Univ Toulon & Var, Aix Marseille Univ, CNRS, IRD,MIO UM 110, Marseille, France.
RP Zouari, AB (corresponding author), Inst Natl Sci & Technol Mer, 28 Rue 2 Mars 1934, Salammbo 2025, Tunisia.; Quéméneur, M (corresponding author), Univ Toulon & Var, Aix Marseille Univ, CNRS, IRD,MIO UM 110, Marseille, France.
EM amel.zouari@instm.rnrt.tn
CR Abdenadher M, 2012, ESTUAR COAST SHELF S, V106, P102, DOI 10.1016/j.ecss.2012.04.029
Abdennadher M, 2021, ALGAE-SEOUL, V36, P175, DOI 10.4490/algae.2021.36.6.2
ADACHI M, 1994, J PHYCOL, V30, P857, DOI 10.1111/j.0022-3646.1994.00857.x
Anderson DM, 2005, DEEP-SEA RES PT II, V52, P2467, DOI 10.1016/j.dsr2.2005.06.015
Anderson DM, 2002, ESTUARIES, V25, P704, DOI 10.1007/BF02804901
Anderson DM, 2021, HARMFUL ALGAE, V102, DOI 10.1016/j.hal.2021.101975
Armi Z, 2011, AFR J AQUAT SCI, V36, P47, DOI 10.2989/16085914.2011.559688
Bagatini IL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085950
Balech E., 1995, The genus Alexandrium Halim (dinoflagellata), P151, DOI [10.2307/3226651., DOI 10.2307/3226651]
Belila A, 2013, APPL MICROBIOL BIOT, V97, P379, DOI 10.1007/s00253-012-3931-5
Bravo I, 2008, HARMFUL ALGAE, V7, P515, DOI 10.1016/j.hal.2007.11.005
Brody SR, 2015, ICES J MAR SCI, V72, P1961, DOI 10.1093/icesjms/fsv006
Brody SR, 2014, GEOPHYS RES LETT, V41, P3197, DOI 10.1002/2014GL059707
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
CARRADA GC, 1991, J PLANKTON RES, V13, P229, DOI 10.1093/plankt/13.1.229
CAUMETTE P, 1980, MAR BIOL, V56, P183, DOI 10.1007/BF00645342
CAUMETTE P, 1986, FEMS MICROBIOL ECOL, V38, P113, DOI 10.1016/0378-1097(86)90148-5
Chapelle Annie, 2015, Harmful Algae News, V51, P4
Chifflet S, 2019, AIMS ENVIRON SCI, V6, P277, DOI 10.3934/environsci.2019.4.277
Cosgrove S, 2014, HARMFUL ALGAE, V31, P114, DOI 10.1016/j.hal.2013.10.015
Cui Y, 2020, SCI TOTAL ENVIRON, V721, DOI 10.1016/j.scitotenv.2020.137725
Daly Yahia-Kefi O., 1997, ACTES S MINAIRE NATL, P27
DELGADO M, 1990, Scientia Marina, V54, P1
Deng JM, 2018, SCI TOTAL ENVIRON, V645, P1361, DOI 10.1016/j.scitotenv.2018.07.208
Deng JM, 2015, INT J CLIMATOL, V35, P3385, DOI 10.1002/joc.4212
Dowd SE, 2008, BMC MICROBIOL, V8, DOI [10.1186/1471-2180-8-125, 10.1186/1471-2180-8-43]
FALKOWSKI PG, 1994, PHOTOSYNTH RES, V39, P235, DOI 10.1007/BF00014586
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Feki W, 2013, HARMFUL ALGAE, V23, P8, DOI 10.1016/j.hal.2012.12.001
Flores-Moya A, 2012, ECOL EVOL, V2, P1251, DOI 10.1002/ece3.198
Fraga S, 1995, PHYCOLOGIA, V34, P514, DOI 10.2216/i0031-8884-34-6-514.1
Frenken T, 2016, GLOBAL CHANGE BIOL, V22, P299, DOI 10.1111/gcb.13095
FRILIGOS N, 1989, TOXICOL ENVIRON CHEM, V24, P171, DOI 10.1080/02772248909357487
FRITZ L, 1985, J PHYCOL, V21, P662, DOI 10.1111/j.0022-3646.1985.00662.x
Garcés E, 2004, J PLANKTON RES, V26, P637, DOI 10.1093/plankt/fbh065
Garcés E, 2007, AQUAT MICROB ECOL, V46, P55, DOI 10.3354/ame046055
Gernez P, 2011, LIMNOL OCEANOGR, V56, P17, DOI 10.4319/lo.2011.56.1.0017
Giacobbe MG, 1996, ESTUAR COAST SHELF S, V42, P539, DOI 10.1006/ecss.1996.0035
Grzebyk D, 2003, J PLANKTON RES, V25, P1185, DOI 10.1093/plankt/fbg088
Guallar C, 2017, HARMFUL ALGAE, V67, P44, DOI 10.1016/j.hal.2017.05.005
GUILLARD RRL, 1993, PHYCOLOGIA, V32, P234, DOI 10.2216/i0031-8884-32-3-234.1
Halim Y., 1960, Vie et Milieu, V11, P102
Hampton SE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0088920
Higashi A, 2016, HARMFUL ALGAE, V60, P150, DOI 10.1016/j.hal.2016.11.009
Hiraishi A, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8020150
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Hwang DF, 2000, TOXICON, V38, P1491, DOI 10.1016/S0041-0101(00)00080-5
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Kase L., 2018, YOUMARES 8 OCEANS BO, P55, DOI [DOI 10.1007/978-3-319-93284-2, DOI 10.1007/978-3-319-93284-25, https://doi.org/, 10.1007/978-3-319-93284-25]
Kim YS, 2015, J MICROBIOL, V53, P511, DOI 10.1007/s12275-015-5303-1
Labib Wagdy, 1996, Marine Life, V5, P11
Lasternas S, 2011, BIOGEOSCIENCES, V8, P743, DOI 10.5194/bg-8-743-2011
Le Bec C, 2016, AQUAT LIVING RESOUR, V29, DOI 10.1051/alr/2016006
Li ZC, 2013, J GEOPHYS RES-OCEANS, V118, P1445, DOI 10.1002/jgrc.20137
Lim PT, 2005, TOXICON, V45, P699, DOI 10.1016/j.toxicon.2005.01.007
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Liu JQ, 2008, HARMFUL ALGAE, V7, P184, DOI 10.1016/j.hal.2007.07.001
Liu JQ, 2008, HARMFUL ALGAE, V7, P1, DOI 10.1016/j.hal.2007.04.009
Luo ZH, 2018, J PHYCOL, V54, P744, DOI 10.1111/jpy.12780
Maguer JF, 2007, J PHYCOL, V43, P295, DOI 10.1111/j.1529-8817.2007.00334.x
Maguer JF, 2004, LIMNOL OCEANOGR, V49, P1108, DOI 10.4319/lo.2004.49.4.1108
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Matcher G, 2021, AQUAT MICROB ECOL, V86, P153, DOI 10.3354/ame01963
Matteson AR, 2012, FEMS MICROBIOL ECOL, V79, P709, DOI 10.1111/j.1574-6941.2011.01251.x
McKenzie CH, 2021, HARMFUL ALGAE, V102, DOI 10.1016/j.hal.2020.101852
Merlivat L, 2022, BIOGEOSCIENCES, V19, P3911, DOI 10.5194/bg-19-3911-2022
Mikhail S., 2020, EGYPT J AQUAT BIOL F, V24, P207, DOI [10.21608/ejabf.2020.117258, DOI 10.21608/EJABF.2020.117258]
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Oh Seok Jin, 2010, Ocean Science Journal, V45, P171, DOI 10.1007/s12601-010-0015-2
Park YH, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114587
Pellichero V, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL085992
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pin LC, 2001, MAR BIOTECHNOL, V3, P246, DOI 10.1007/s101260000073
Pitcher GC, 2007, HARMFUL ALGAE, V6, P823, DOI 10.1016/j.hal.2007.04.008
Quéméneur M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.593540
Ranston ER, 2007, HARMFUL ALGAE, V6, P29, DOI 10.1016/j.hal.2006.05.006
Rink B, 2007, AQUAT MICROB ECOL, V48, P47, DOI 10.3354/ame048047
Romdhane M.S., 1998, HARMFUL ALGAE, P80
Sammari C, 2006, CONT SHELF RES, V26, P338, DOI 10.1016/j.csr.2005.11.006
Santos M, 2014, TOXICON, V90, P265, DOI 10.1016/j.toxicon.2014.08.065
SCHOLIN CA, 1994, J PHYCOL, V30, P999, DOI 10.1111/j.0022-3646.1994.00999.x
Smayda TJ, 1997, LIMNOL OCEANOGR, V42, P1137, DOI 10.4319/lo.1997.42.5_part_2.1137
Smythe-Wright D, 2014, DEEP-SEA RES PT II, V106, P76, DOI 10.1016/j.dsr2.2013.12.015
Sournia Alain, 1995, P103
Takahashi S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105592
Tas S, 2015, MEDITERR MAR SCI, V16, P432, DOI 10.12681/mms.1042
Tester PA, 1997, LIMNOL OCEANOGR, V42, P1039, DOI 10.4319/lo.1997.42.5_part_2.1039
Throndsen J, 1995, MANUAL HARMFUL MARIN, V33, P63
Touzet N, 2010, DEEP-SEA RES PT II, V57, P268, DOI 10.1016/j.dsr2.2009.09.015
Treguer P., 1975, MANUEL ANAL SELS NUT, V2nd ed.
Turki S, 2014, ECOL ENG, V67, P39, DOI 10.1016/j.ecoleng.2014.03.028
Utermohl Hans, 1958, Internationale Vereinigung Fur Theoretische Und Angewandte Limnologie: Mitteilungen, DOI DOI 10.1080/05384680.1958.11904091
Vautard R, 2010, NAT GEOSCI, V3, P756, DOI [10.1038/NGEO979, 10.1038/ngeo979]
Wells ML, 2020, HARMFUL ALGAE, V91, DOI 10.1016/j.hal.2019.101632
Yahia-Kéfi OD, 2005, MEDITERR MAR SCI, V6, P17, DOI 10.12681/mms.190
Yahia-Kefi OD, 2001, OCEANOL ACTA, V24, pS17
Zaghden H, 2017, MAR POLLUT BULL, V117, P414, DOI 10.1016/j.marpolbul.2017.02.007
Zhang FX, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01015-18
Zhou J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01201
Zouch H, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03103
Zouch H, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01583
NR 101
TC 1
Z9 1
PD FEB
PY 2023
VL 15
IS 2
AR 273
DI 10.3390/d15020273
UT WOS:000939041200001
DA 2025-07-30
ER
PT J
AU Ngugi, DK
Antunes, A
Brune, A
Stingl, U
AF Ngugi, David Kamanda
Antunes, Andre
Brune, Andreas
Stingl, Ulrich
TI Biogeography of pelagic bacterioplankton across an antagonistic
temperature-salinity gradient in the Red Sea
SO MOLECULAR ECOLOGY
DT Article
AB The Red Sea is a unique marine ecosystem with contrasting gradients of temperature and salinity along its north-to-south axis. It is an extremely oligotrophic environment that is characterized by perpetual year-round water column stratification, high annual solar irradiation, and negligible riverine and precipitation inputs. In this study, we investigated whether the contemporary environmental conditions shape community assemblages by pyrosequencing 16S rRNA genes of bacteria in surface water samples collected from the northeastern half of this water body. A combined total of 1855 operational taxonomic units (OTUs) were recovered from the small-cell and large-cell fractions. Here, a few major OTUs affiliated with Cyanobacteria and Proteobacteria accounted for similar to 93% of all sequences, whereas a tail of rare OTUs represented most of the diversity. OTUs allied to Surface 1a/b SAR11 clades and Prochlorococcus related to the high-light-adapted (HL2) ecotype were the most widespread and predominant sequence types. Interestingly, the frequency of taxa that are typically found in the upper mesopelagic zone was significantly elevated in the northern transects compared with those in the central, presumably as a direct effect of deep convective mixing in the Gulf of Aqaba and water exchange with the northern Red Sea. Although temperature was the best predictor of species richness across all major lineages, both spatial and environmental distances correlated strongly with phylogenetic distances. Our results suggest that the bacterial diversity of the Red Sea is as high as in other tropical seas and provide evidence for fundamental differences in the biogeography of pelagic communities between the northern and central regions.
C1 [Ngugi, David Kamanda; Antunes, Andre; Stingl, Ulrich] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Thuwal 239556900, Saudi Arabia.
[Brune, Andreas] Max Planck Inst Terr Microbiol, Dept Biogeochem, D-35043 Marburg, Germany.
RP Ngugi, DK (corresponding author), King Abdullah Univ Sci & Technol, Red Sea Res Ctr, 4700 KAUST, Thuwal 239556900, Saudi Arabia.
EM david.ngugi@kaust.edu.sa
CR Acinas SG, 2004, J BACTERIOL, V186, P2629, DOI 10.1128/JB.186.9.2629-2635.2004
Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Agusti S, 2004, AQUAT MICROB ECOL, V36, P53, DOI 10.3354/ame036053
Al-Najjar T, 2007, HYDROBIOLOGIA, V579, P69, DOI 10.1007/s10750-006-0365-z
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
[Anonymous], J GEOPHYS RES
Baars Martien A., 1998, P143
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Berry D, 2011, APPL ENVIRON MICROB, V41, P91
BETHOUX JP, 1988, MAR CHEM, V24, P83, DOI 10.1016/0304-4203(88)90007-2
BIDLE KD, 1995, APPL ENVIRON MICROB, V61, P944, DOI 10.1128/AEM.61.3.944-952.1995
Boelen P, 2002, MICROBIAL ECOL, V44, P164, DOI 10.1007/s00248-002-1002-7
Bonnet E., 2002, J STAT SOFTW, V7, P1, DOI DOI 10.18637/JSS.V007.I10
Bouman HA, 2006, SCIENCE, V312, P918, DOI 10.1126/science.1122692
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chase Z, 2006, GLOBAL BIOGEOCHEM CY, V20, DOI 10.1029/2005GB002646
Claessens M, 2008, AQUAT MICROB ECOL, V53, P181, DOI 10.3354/ame01243
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Curtis TP, 2002, P NATL ACAD SCI USA, V99, P10494, DOI 10.1073/pnas.142680199
da Silva A., 1994, Atlas of surface marine data 1994, volume 1: Algorithms and procedures
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Edwards F.J., 1987, Key Environments, P45
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Figueroa FL, 2009, AQUAT BIOL, V7, P159, DOI 10.3354/ab00186
Fuhrman JA, 2003, NATURE, V424, P1001, DOI 10.1038/4241001a
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuller NJ, 2005, LIMNOL OCEANOGR, V50, P363, DOI 10.4319/lo.2005.50.1.0363
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Getahun Abebe, 1998, P277
Gevers D, 2005, NAT REV MICROBIOL, V3, P733, DOI 10.1038/nrmicro1236
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grossart HP, 2002, MAR ECOL PROG SER, V239, P263, DOI 10.3354/meps239263
Haas BJ, 2011, GENOME RES, V21, P494, DOI 10.1101/gr.112730.110
Häder DP, 2007, PHOTOCH PHOTOBIO SCI, V6, P267, DOI 10.1039/b700020k
Hewson I, 2006, AQUAT MICROB ECOL, V43, P11, DOI 10.3354/ame043011
Horner-Devine MC, 2004, NATURE, V432, P750, DOI 10.1038/nature03073
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kim M, 2011, J MICROBIOL METH, V84, P81, DOI 10.1016/j.mimet.2010.10.020
Labiosa RG, 2003, LIMNOL OCEANOGR, V48, P2355, DOI 10.4319/lo.2003.48.6.2355
Lami R, 2009, AQUAT MICROB ECOL, V55, P31, DOI 10.3354/ame01282
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
LEGENDRE L, 1995, AQUAT MICROB ECOL, V9, P69, DOI 10.3354/ame009069
Lichtle C, 1995, J PHYCOL, V31, P934, DOI 10.1111/j.0022-3646.1995.00934.x
LINDELL D, 1995, LIMNOL OCEANOGR, V40, P1130, DOI 10.4319/lo.1995.40.6.1130
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Manasrah R, 2004, OCEANOLOGIA, V46, P5
Martin AP, 2002, APPL ENVIRON MICROB, V68, P3673, DOI 10.1128/AEM.68.8.3673-3682.2002
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Qian PY, 2011, ISME J, V5, P507, DOI 10.1038/ismej.2010.112
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
ROBERTS CM, 1992, J BIOGEOGR, V19, P239, DOI 10.2307/2845449
Robinson C., 2008, MICROBIAL ECOLOGY OC, P299, DOI DOI 10.1002/9780470281840.CH9
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sarmento H, 2010, PHILOS T R SOC B, V365, P2137, DOI 10.1098/rstb.2010.0045
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloss PD, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000844
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
Shalapyonok A, 1998, APPL ENVIRON MICROB, V64, P1066
SHERR EB, 1994, MICROBIAL ECOL, V28, P223, DOI 10.1007/BF00166812
SHERR EB, 1991, TRENDS ECOL EVOL, V6, P50, DOI 10.1016/0169-5347(91)90122-E
Siddall M, 2003, NATURE, V423, P853, DOI 10.1038/nature01690
Sirocko F, 2003, NATURE, V423, P813, DOI 10.1038/423813a
Smeed DA, 2004, DEEP-SEA RES PT II, V51, P455, DOI 10.1016/j.dsr2.2003.11.002
Sofianos SS, 2002, DEEP-SEA RES PT II, V49, P1323, DOI 10.1016/S0967-0645(01)00164-3
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Stambler N, 2005, J SEA RES, V54, P186, DOI 10.1016/j.seares.2005.04.006
Steglich C, 2003, ENVIRON MICROBIOL, V5, P681, DOI 10.1046/j.1462-2920.2003.00456.x
Torsvik V, 2002, SCIENCE, V296, P1064, DOI 10.1126/science.1071698
Trommer G, 2009, ORG GEOCHEM, V40, P724, DOI 10.1016/j.orggeochem.2009.03.001
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wang YF, 2009, PLOS ONE, V4, DOI [10.1371/journal.pone.0005368, 10.1371/journal.pone.0007401]
Webster NS, 2010, ENVIRON MICROBIOL, V12, P2070, DOI 10.1111/j.1462-2920.2009.02065.x
Weikert H., 1987, P90
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
White JR, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000352
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Winter C, 2004, APPL ENVIRON MICROB, V70, P804, DOI 10.1128/AEM.70.2.804-813.2004
Woelk S, 1996, J GEOPHYS RES-OCEANS, V101, P18155, DOI 10.1029/96JC01148
WOLFVECHT A, 1992, DEEP-SEA RES, V39, P1393, DOI 10.1016/0198-0149(92)90075-5
Wright J J., 2009, J Vis Exp, V31, pe1352, DOI [DOI 10.3791/, DOI 10.3791/1352]
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zinser ER, 2007, LIMNOL OCEANOGR, V52, P2205, DOI 10.4319/lo.2007.52.5.2205
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 105
TC 96
Z9 100
PD JAN
PY 2012
VL 21
IS 2
BP 388
EP 405
DI 10.1111/j.1365-294X.2011.05378.x
UT WOS:000298845600013
DA 2025-07-30
ER
PT J
AU Feingersch, R
Béjà, O
AF Feingersch, Roi
Beja, Oded
TI Bias in assessments of marine SAR11 biodiversity in environmental fosmid
and BAC libraries?
SO ISME JOURNAL
DT Editorial Material
C1 [Feingersch, Roi; Beja, Oded] Technion Israel Inst Technol, Fac Biol, Haifa, Israel.
RP Feingersch, R (corresponding author), Technion Israel Inst Technol, Fac Biol, Haifa, Israel.
EM beja@tx.technion.ac.il
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Béjà O, 2004, CURR OPIN BIOTECH, V15, P187, DOI 10.1016/j.copbio.2004.03.005
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Legault BA, 2006, BMC GENOMICS, V7, DOI 10.1186/1471-2164-7-171
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rondon MR, 1999, P NATL ACAD SCI USA, V96, P6451, DOI 10.1073/pnas.96.11.6451
Rondon MR, 2000, APPL ENVIRON MICROB, V66, P2541, DOI 10.1128/AEM.66.6.2541-2547.2000
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sorek R, 2007, SCIENCE, V318, P1449, DOI 10.1126/science.1147112
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Temperton B, 2009, ISME J, V3, P792, DOI 10.1038/ismej.2009.32
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
NR 19
TC 12
Z9 12
PD OCT
PY 2009
VL 3
IS 10
BP 1117
EP 1119
DI 10.1038/ismej.2009.80
UT WOS:000270783100001
DA 2025-07-30
ER
PT J
AU Malmstrom, RR
Straza, TRA
Cottrell, MT
Kirchman, DL
AF Malmstrom, Rex R.
Straza, Tiffany R. A.
Cottrell, Matthew T.
Kirchman, David L.
TI Diversity, abundance, and biomass production of bacterial groups in the
western Arctic Ocean
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB To better understand links between the diversity and activity of bacterial communities in the Arctic Ocean, the surface waters of the Chukchi Sea were examined by clone library analysis and by a combination of fluorescence in situ hybridization (FISH) and microautoradiography. About 60% of the 16S rRNA sequences from the library had closest BLAST hits to bacteria found previously in the Arctic, and some of these sequences appear to be restricted to polar waters. The number of operational taxonomic units in the library dropped by more than half when sequences were grouped at 99% sequence similarity, indicating that the library was composed of several bacterial clusters with high sequence similarity. Oligonucleotide probes were designed to enumerate some bacterial groups found in the clone library such as the Arctic96B-16 cluster, Roseobacter RCA cluster, AGG58 cluster, and Polaribacter clade. FISH analyses revealed that each of these groups typically accounted for 3 to 10% of prokaryotes, while well known cosmopolitan groups like the SAR86 and SAR11 clades made up 8 and 25% of the prokaryotic communities, respectively. Overall, > 60% of total prokaryotes belonged to 8 specific bacterial groups, of which the SAR11 clade was the most diverse (< 13% 16S rRNA sequence difference). Together the Arctic96B-16, Roseobacter RCA, Polaribacter, and SARI 1 clades also accounted for 25 to 82% of biomass production at 4 locations, as determined by a combination of FISH and microautoradiography of H-3-leucine assimilation. These results indicate that community composition and biomass production in the western Arctic Ocean are dominated by a few bacterial groups.
C1 Univ Delaware, Coll Marine & Earth Studies, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Coll Marine & Earth Studies, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
[Anonymous], 2004, PHYLIP PHYLOGENY INF
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Cohan FM, 2002, ANNU REV MICROBIOL, V56, P457, DOI 10.1146/annurev.micro.56.012302.160634
Cole JR, 2003, NUCLEIC ACIDS RES, V31, P442, DOI 10.1093/nar/gkg039
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Giovannoni S, 2004, NATURE, V430, P515, DOI 10.1038/430515a
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Grebmeier JM, 2005, DEEP-SEA RES PT II, V52, P3109, DOI 10.1016/j.dsr2.2005.10.004
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Longnecker K, 2006, AQUAT MICROB ECOL, V42, P265, DOI 10.3354/ame042265
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Sherr EB, 1997, DEEP-SEA RES PT II, V44, P1665, DOI 10.1016/S0967-0645(97)00050-7
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Steward GF, 1996, MAR ECOL PROG SER, V131, P287, DOI 10.3354/meps131287
Suzuki MT, 1999, AQUAT MICROB ECOL, V20, P261, DOI 10.3354/ame020261
Thompson JR, 2002, NUCLEIC ACIDS RES, V30, P2083, DOI 10.1093/nar/30.9.2083
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Zhang Y, 2006, AQUAT MICROB ECOL, V43, P233, DOI 10.3354/ame043233
NR 42
TC 102
Z9 112
PD APR 3
PY 2007
VL 47
IS 1
BP 45
EP 55
DI 10.3354/ame047045
UT WOS:000246081700005
DA 2025-07-30
ER
PT J
AU Weinbauer, MG
Kerros, ME
Motegi, C
Wilhartitz, IC
Rassoulzadegan, F
Torréton, JP
Mari, X
AF Weinbauer, Markus G.
Kerros, Marie-Emmanuelle
Motegi, Chiaki
Wilhartitz, Ines C.
Rassoulzadegan, Fereidoun
Torreton, Jean-Pascal
Mari, Xavier
TI Bacterial community composition and potential controlling mechanisms
along a trophic gradient in a barrier reef system
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Bacterial abundance and community composition were investigated along trophic gradients in the barrier reef lagoon of Noumea, New Caledonia. Bacterial abundance and the percentage of high nucleic acid (%HNA) bacteria (a potential indicator for bacterial production) increased from offshore waters towards the head of the bays. 16S rRNA gene PCR and denaturing gradient gel electrophoresis (DGGE) were used as genetic fingerprints for assessing differences in bacterial community composition. Sequences of DGGE bands were assigned to (1) the genera Rugeria and Roseobacter (Rhodobacteriaceae), (2) the SAR11 cluster, (3) other Alphaproteobacteria, and (4) the genus Alteromonas. Removal of the operationally defined attached bacteria by prefiltration did not affect community profiles in offshore waters but had a strong influence in the bays, probably clue to the much higher particle load and thus, attached bacteria in the bays. For the free-living community, the number of bands decreased linearly with increasing water residence time, chlorophyll a concentration, and viral abundance. Specific bands were found for offshore waters and the 2 investigated semi-enclosed bays, whereas the lagoon showed no specific bands. A similarity analysis showed specific clusters for offshore water, the lagoon, and the bays. A principle component analysis together with cluster and correlation analysis indicated that water residence time, viruses, and a complex top-down cascading effect of ciliate grazers on flagellates influenced community composition. Also, data from fingerprints of the total and free-living communities suggest that the free-living and the attached community are controlled by different mechanisms.
C1 [Weinbauer, Markus G.; Kerros, Marie-Emmanuelle; Motegi, Chiaki; Rassoulzadegan, Fereidoun] Univ Paris 06, Microbial Ecol & Biogeochem Grp, Lab Oceanog Villefranche, F-06230 Villefranche Sur Mer, France.
[Weinbauer, Markus G.; Kerros, Marie-Emmanuelle; Motegi, Chiaki; Rassoulzadegan, Fereidoun] CNRS, Lab Oceanog Villefranche, F-06230 Villefranche Sur Mer, France.
[Wilhartitz, Ines C.] EAWAG Swiss Fed Inst Aquat Sci & Technol, CH-8600 Dubendorf, Switzerland.
[Torreton, Jean-Pascal; Mari, Xavier] IRD, Noumea Ctr, Noumea 98848, New Caledonia.
RP Weinbauer, MG (corresponding author), Univ Paris 06, Microbial Ecol & Biogeochem Grp, Lab Oceanog Villefranche, F-06230 Villefranche Sur Mer, France.
EM wein@obs-vlfr.fr
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Arrieta JM, 2004, LIMNOL OCEANOGR, V49, P799, DOI 10.4319/lo.2004.49.3.0799
Arrieta JM, 2002, LIMNOL OCEANOGR, V47, P594, DOI 10.4319/lo.2002.47.2.0594
BAINES SB, 1991, LIMNOL OCEANOGR, V36, P1078, DOI 10.4319/lo.1991.36.6.1078
Baudoux AC, 2007, LIMNOL OCEANOGR, V52, P2519, DOI 10.4319/lo.2007.52.6.2519
Bell T, 2005, SCIENCE, V308, P1884, DOI 10.1126/science.1111318
Bonilla-Findji O, 2009, APPL ENVIRON MICROB, V75, P4801, DOI 10.1128/AEM.01376-08
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Charpy L, 1997, MAR ECOL PROG SER, V151, P55, DOI 10.3354/meps151055
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
Conan P, 2008, AQUAT MICROB ECOL, V52, P83, DOI 10.3354/ame01204
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
del Giorgio PA, 2002, LIMNOL OCEANOGR, V47, P471, DOI 10.4319/lo.2002.47.2.0471
DELESALLE B, 1992, CONT SHELF RES, V12, P939, DOI 10.1016/0278-4343(92)90053-M
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Dinsdale EA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001584
Ferrier-Pagès C, 1998, MICROBIAL ECOL, V35, P46, DOI 10.1007/s002489900059
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Garza DR, 1998, MICROB ECOL, V36, P281, DOI 10.1007/s002489900115
GASOL JM, 1994, MAR ECOL PROG SER, V113, P291, DOI 10.3354/meps113291
GASOL JM, 1993, LIMNOL OCEANOGR, V38, P657, DOI 10.4319/lo.1993.38.3.0657
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GONZALEZ JM, 1993, MAR ECOL PROG SER, V94, P1, DOI 10.3354/meps094001
Grossart HP, 2007, FEMS MICROBIOL LETT, V266, P194, DOI 10.1111/j.1574-6968.2006.00520.x
HERNDL GJ, 1986, MAR BIOL, V90, P363, DOI 10.1007/BF00428560
Hewson I, 2003, MICROB ECOL, V46, P337, DOI 10.1007/s00248-002-1041-0
Horner-Devine MC, 2004, NATURE, V432, P750, DOI 10.1038/nature03073
Horner-Devine MC, 2004, P ROY SOC B-BIOL SCI, V271, P113, DOI 10.1098/rspb.2003.2549
JACQUET S, 2005, THESIS U P M CURIE P
Jacquet S, 2006, MAR ECOL PROG SER, V320, P65, DOI 10.3354/meps320065
Jouon A, 2006, CONT SHELF RES, V26, P1395, DOI 10.1016/j.csr.2005.11.014
LEE SH, 1991, LIMNOL OCEANOGR, V36, P1277, DOI 10.4319/lo.1991.36.7.1277
Malits A, 2009, AQUAT MICROB ECOL, V54, P243, DOI 10.3354/ame01274
Mari X, 2007, APPL ENVIRON MICROB, V73, P5245, DOI 10.1128/AEM.00762-07
Mari X, 2007, LIMNOL OCEANOGR, V52, P808, DOI 10.4319/lo.2007.52.2.0808
Migon C, 2007, ESTUAR COAST SHELF S, V74, P756, DOI 10.1016/j.ecss.2007.05.048
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Parada V, 2006, J MAR BIOL ASSOC UK, V86, P613, DOI 10.1017/S002531540601352X
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pernthaler J, 2005, MICROBIOL MOL BIOL R, V69, P440, DOI 10.1128/MMBR.69.3.440-461.2005
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
RATH J, 1993, MAR ECOL PROG SER, V102, P89, DOI 10.3354/meps102089
Reche I, 2005, ECOLOGY, V86, P1715, DOI 10.1890/04-1587
Reinthaler T, 2005, APPL ENVIRON MICROB, V71, P2260, DOI 10.1128/AEM.71.5.2260-2266.2005
Rochelle-Newall EJ, 2008, AQUAT MICROB ECOL, V50, P221, DOI 10.3354/ame01158
Rohwer F, 2002, MAR ECOL PROG SER, V243, P1, DOI 10.3354/meps243001
Sakka A, 2000, MAR ECOL PROG SER, V197, P1, DOI 10.3354/meps197001
Sánchez O, 2007, APPL ENVIRON MICROB, V73, P5962, DOI 10.1128/AEM.00817-07
Schäfer H, 2001, METHOD MICROBIOL, V30, P425, DOI 10.1016/S0580-9517(01)30057-0
SCHILLER C, 1989, CORAL REEFS, V7, P179, DOI 10.1007/BF00301596
Servais P, 1999, MICROBIAL ECOL, V38, P180, DOI 10.1007/s002489900160
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
SUTTLE CA, 1992, APPL ENVIRON MICROB, V58, P3721, DOI 10.1128/AEM.58.11.3721-3729.1992
Torréton JP, 2007, ESTUAR COAST SHELF S, V74, P766, DOI 10.1016/j.ecss.2007.05.018
Torreton JP, 1996, AQUAT MICROB ECOL, V11, P251, DOI 10.3354/ame011251
Torréton JP, 2002, AQUAT MICROB ECOL, V28, P267, DOI 10.3354/ame028267
Torréton JP, 1999, CORAL REEFS, V18, P43, DOI 10.1007/s003380050152
Weinbauer MG, 2009, AQUAT MICROB ECOL, V57, P321, DOI 10.3354/ame01363
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
WEINBAUER MG, 1995, J PLANKTON RES, V17, P1851, DOI 10.1093/plankt/17.9.1851
Wild C, 2004, NATURE, V428, P66, DOI 10.1038/nature02344
Winter C, 2001, APPL ENVIRON MICROB, V67, P665, DOI 10.1128/AEM.67.2.665-672.2001
Winter C, 2005, LIMNOL OCEANOGR, V50, P968, DOI 10.4319/lo.2005.50.3.0968
Winter C, 2004, APPL ENVIRON MICROB, V70, P804, DOI 10.1128/AEM.70.2.804-813.2004
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Worm B, 2002, NATURE, V417, P848, DOI 10.1038/nature00830
Zhang R, 2007, ENVIRON MICROBIOL, V9, P3008, DOI 10.1111/j.1462-2920.2007.01410.x
NR 74
TC 20
Z9 21
PY 2010
VL 60
IS 1
BP 15
EP 28
DI 10.3354/ame01411
UT WOS:000278021400002
DA 2025-07-30
ER
PT J
AU Williams, TJ
Ertan, H
Ting, L
Cavicchioli, R
AF Williams, Timothy J.
Ertan, Haluk
Ting, Lily
Cavicchioli, Ricardo
TI Carbon and nitrogen substrate utilization in the marine bacterium
Sphingopyxis alaskensis strain RB2256
SO ISME JOURNAL
DT Article
AB Sphingopyxis alaskensis is a marine member of the Alphaproteobacteria that is adapted to heterotrophic growth under nutrient-depleted (oligotrophic) conditions. S. alaskensis strain RB2256 is an ultramicrobacterium (cell volume <0.1 mu m(3)), and has a genome size larger than that of the ultramicrobacterium 'Candidatus Pelagibacter ubique' HTCC1062 (SAR11 clade of Alphaproteobacteria): 3.35 versus 1.31 Mbp. In this study, we investigate the carbon and nitrogen metabolism of strain RB2256 using an integrated approach that combines growth and enzyme assays, proteomics and genome analysis. S. alaskensis is able to use specific amino acids and putrescine as a sole carbon and nitrogen source, and higher energy-yielding substrates such as glucose and trehalose as carbon sources. Alanine, in particular, emerges as a very important substrate in S. alaskensis metabolism. In an oligotrophic environment where competition for nutrients is intense, our data support a simplified metabolism for S. alaskensis in which the fate of certain substrates is constrained, especially at the intersections of central carbon and nitrogen metabolism, in order to ensure optimal disposition of scarce resources. This is the first investigation of central metabolism for an oligotrophic ultramicrobacterium that possesses a relatively large genome size. In contrast to the behavior so far observed for SAR11 oligotrophic bacteria, S. alaskensis shows a physiological capacity to exploit increases in ambient nutrient availability and thereby achieve high-population densities. The ISME Journal (2009) 3, 1036-1052; doi:10.1038/ismej.2009.52; published online 21 May 2009
C1 [Williams, Timothy J.; Ertan, Haluk; Ting, Lily; Cavicchioli, Ricardo] Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
[Ertan, Haluk] Istanbul Univ, Dept Mol Biol & Genet, Fac Sci, Istanbul, Turkey.
RP Cavicchioli, R (corresponding author), Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
EM r.cavicchioli@unsw.edu.au
CR AHARONOWITZ Y, 1980, ARCH MICROBIOL, V125, P137, DOI 10.1007/BF00403210
AISAKA K, 1995, FEMS MICROBIOL LETT, V131, P47, DOI 10.1016/0378-1097(95)00233-U
Allaway D, 2000, MOL MICROBIOL, V36, P508, DOI 10.1046/j.1365-2958.2000.01884.x
Allen MA, 2009, ISME J, V3, P1012, DOI 10.1038/ismej.2009.45
ANDERSSON A, 1985, MAR ECOL PROG SER, V23, P99, DOI 10.3354/meps023099
BERGMEYER HU, 1983, METHOD ENZYMAT AN, V2, P277
BOLAND MJ, 1977, EUR J BIOCHEM, V79, P355, DOI 10.1111/j.1432-1033.1977.tb11816.x
BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
BROWN CM, 1975, J GEN MICROBIOL, V86, P39, DOI 10.1099/00221287-86-1-39
BROWN CM, 1977, FEMS MICROBIOL LETT, V1, P43, DOI 10.1111/j.1574-6968.1977.tb00576.x
BROWN CM, 1977, FEMS MICROBIOL LETT, V1, P39, DOI 10.1111/j.1574-6968.1977.tb00575.x
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
CABALLERO FJ, 1989, ARCH MICROBIOL, V152, P508, DOI 10.1007/BF00446938
CABALLERO FJ, 1989, J BACTERIOL, V171, P3205, DOI 10.1128/jb.171.6.3205-3210.1989
CARDENAS J, 1987, INORGANIC NITROGEN M, P148
Cavicchioli R, 1999, J IND MICROBIOL BIOT, V23, P268, DOI 10.1038/sj.jim.2900732
Cavicchioli R, 2003, MICROB ECOL, V45, P203, DOI 10.1007/s00248-002-3008-6
CAVICCHIOLI R, 2003, ULTRAMICROBACTERIA E
CHEN CS, 1987, J BACTERIOL, V169, P1114, DOI 10.1128/jb.169.3.1114-1119.1987
Commichau FM, 2006, CURR OPIN MICROBIOL, V9, P167, DOI 10.1016/j.mib.2006.01.001
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Donahue JL, 2000, J BACTERIOL, V182, P5624, DOI 10.1128/JB.182.19.5624-5627.2000
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
EGUCHI M, 1990, FEMS MICROBIOL ECOL, V73, P23, DOI 10.1016/0378-1097(90)90720-B
Eguchi M, 1996, APPL ENVIRON MICROB, V62, P1287, DOI 10.1128/AEM.62.4.1287-1294.1996
Eguchi M, 2001, APPL ENVIRON MICROB, V67, P4945, DOI 10.1128/AEM.67.11.4945-4954.2001
ERTAN H, 1992, ARCH MICROBIOL, V158, P42, DOI 10.1007/BF00249064
ERTAN H, 1992, ARCH MICROBIOL, V158, P35, DOI 10.1007/BF00249063
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Fegatella F, 2000, APPL ENVIRON MICROB, V66, P2037, DOI 10.1128/AEM.66.5.2037-2044.2000
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
García-Fernández JM, 2004, MICROBIOL MOL BIOL R, V68, P630, DOI 10.1128/MMBR.68.4.630-638.2004
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Godoy F, 2003, INT J SYST EVOL MICR, V53, P473, DOI 10.1099/ijs.0.02375-0
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
GRIMSHAW CE, 1981, BIOCHEMISTRY-US, V20, P5650, DOI 10.1021/bi00523a002
HERBERT RA, 1978, ARCH MICROBIOL, V119, P1, DOI 10.1007/BF00407919
HUMPHREY B, 1983, APPL ENVIRON MICROB, V45, P43, DOI 10.1128/AEM.45.1.43-47.1983
ISHIDA Y, 1986, MAR ECOL PROG SER, V30, P197, DOI 10.3354/meps030197
IVANOVA NN, 2007, STANDARD OPERATING P
JACKSON GA, 1989, LIMNOL OCEANOGR, V34, P514, DOI 10.4319/lo.1989.34.3.0514
JOHANSSON BC, 1976, J BACTERIOL, V128, P683, DOI 10.1128/JB.128.2.683-688.1976
Joint I, 2008, ISME J, V2, P455, DOI 10.1038/ismej.2008.30
KEIL RG, 1991, MAR ECOL PROG SER, V73, P1, DOI 10.3354/meps073001
Kjelleberg Staffan, 1993, P289
Klotz MG, 2006, APPL ENVIRON MICROB, V72, P6299, DOI 10.1128/AEM.00463-06
KONDOROSI A, 1977, MOL GEN GENET, V151, P221, DOI 10.1007/BF00338698
KUPOR SR, 1972, J BIOL CHEM, V247, P1904
Kurihara S, 2005, J BIOL CHEM, V280, P4602, DOI 10.1074/jbc.M411114200
LEE C, 1977, LIMNOL OCEANOGR, V22, P502, DOI 10.4319/lo.1977.22.3.0502
LEE C, 1975, EARTH PLANET SC LETT, V26, P61, DOI 10.1016/0012-821X(75)90177-6
Li W, 2007, J BACTERIOL, V189, P5413, DOI 10.1128/JB.00432-07
Lodwig E, 2004, J BACTERIOL, V186, P842, DOI 10.1128/JB.186.3.842-849.2004
MADIGAN M, 1982, ARCH MICROBIOL, V133, P6, DOI 10.1007/BF00943761
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Médigue C, 2005, GENOME RES, V15, P1325, DOI 10.1101/gr.4126905
Miñambres B, 2000, J BIOL CHEM, V275, P39529, DOI 10.1074/jbc.M005136200
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
MORENOVIVIAN C, 1983, ARCH MICROBIOL, V136, P147, DOI 10.1007/BF00404790
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Muro-Pastor MI, 2005, PHOTOSYNTH RES, V83, P135, DOI 10.1007/s11120-004-2082-7
Nishibori N, 2003, MAR CHEM, V82, P307, DOI 10.1016/S0304-4203(03)00076-8
Nishibori N, 2001, FISHERIES SCI, V67, P79, DOI 10.1046/j.1444-2906.2001.00202.x
Ostrowski M, 2001, APPL ENVIRON MICROB, V67, P1292, DOI 10.1128/AEM.67.3.1292-1299.2001
Patriarca EJ, 2002, MICROBIOL MOL BIOL R, V66, P203, DOI 10.1128/MMBR.66.2.203-222.2002
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
PRUSINER S, 1972, P NATL ACAD SCI USA, V69, P2922, DOI 10.1073/pnas.69.10.2922
PRUSINER S, 1976, J BIOL CHEM, V251, P3447
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reitzer L, 2003, ANNU REV MICROBIOL, V57, P155, DOI 10.1146/annurev.micro.57.030502.090820
REIZER J, 1992, PROTEIN SCI, V1, P722, DOI 10.1002/pro.5560010604
RONZIO RA, 1969, BIOCHEMISTRY-US, V8, P1066, DOI 10.1021/bi00831a038
ROSSI M, 1989, J GEN MICROBIOL, V135, P629
ROWELL P, 1976, ARCH MICROBIOL, V107, P115, DOI 10.1007/BF00446830
Schut F, 1997, FEMS MICROBIOL REV, V20, P363, DOI 10.1016/S0168-6445(97)00018-1
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
SCHUT F, 1995, MICROBIOL-UK, V141, P351, DOI 10.1099/13500872-141-2-351
Schut F, 1997, AQUAT MICROB ECOL, V12, P177, DOI 10.3354/ame012177
Seo JS, 2005, NAT BIOTECHNOL, V23, P63, DOI 10.1038/nbt1045
Shapiro B.M., 1970, METHODS ENZYMOL, V17A, P910
SMITH MT, 1993, J BIOL CHEM, V268, P10746
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Srinivasan S, 1998, J BIOSCIENCE, V23, P501, DOI 10.1007/BF02936144
Stocker R, 2008, P NATL ACAD SCI USA, V105, P4209, DOI 10.1073/pnas.0709765105
SU HS, 1989, J BACTERIOL, V171, P5095, DOI 10.1128/jb.171.9.5095-5102.1989
Thomas T, 2007, MAR ECOL PROG SER, V332, P291, DOI 10.3354/meps332291
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
VARTAK NB, 1995, MICROBIOL-SGM, V141, P2339, DOI 10.1099/13500872-141-9-2339
WESTBY CA, 1987, J BACTERIOL, V169, P4211, DOI 10.1128/jb.169.9.4211-4214.1987
White DC, 1996, CURR OPIN BIOTECH, V7, P301, DOI 10.1016/S0958-1669(96)80034-6
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Zimenkov D, 2005, FEMS MICROBIOL LETT, V244, P275, DOI 10.1016/j.femsle.2005.01.050
NR 95
TC 36
Z9 44
PD SEP
PY 2009
VL 3
IS 9
BP 1036
EP 1052
DI 10.1038/ismej.2009.52
UT WOS:000269618300004
DA 2025-07-30
ER
PT J
AU Zwart, G
Hiorns, WD
Methé, BA
Van Agterveld, MP
Huismans, R
Nold, SC
Zehr, JP
Laanbroek, HJ
AF Zwart, G
Hiorns, WD
Methé, BA
Van Agterveld, MP
Huismans, R
Nold, SC
Zehr, JP
Laanbroek, HJ
TI Nearly identical 16S rRNA sequences recovered from lakes in North
America and Europe indicate the existence of clades of globally
distributed freshwater bacteria
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB We compared bacterial 16S ribosomal RNA gene sequences recovered from Lake Loosdrecht, the Netherlands, to reported sequences from lakes in Alaska and New York State. In each of the three lake systems, which differ in pH and trophic state, some sequence types were found without related sequences (sequence identity <90%) in the data sets from the other two systems. Two sequences in the Actinomycetes and Verrucomicrobia radiations were more closely related to sequences from the New York: lakes data set than to any other sequence in the global databases. However, the most striking similarities were found in the subdivisions alpha and beta of the Proteobacteria. In these subdivisions three different clusters of highly related bacteria were identified (97-100% sequence identity) that were represented in all three lake regions. The clusters contained no members other than freshwater bacteria. One cluster falls within a monophyletic aquatic supergroup that apparently diverged early in evolution into an exclusive freshwater cluster and an exclusive marine cluster, the so-called SAR11 cluster. The detection of these three bacterial clades in lakes distinguished by geographic distance as well as physical and chemical diversity suggests that these organisms are dispersed globally and that they possess unique functional capabilities enabling successful competition in a wide range of freshwater environments.
C1 Netherlands Inst Ecol, Ctr Limnol, NL-3631 AC Nieuwersluis, Netherlands.
Rensselaer Polytech Inst, Darrin Fresh Water Inst, Troy, NY USA.
RP Zwart, G (corresponding author), Netherlands Inst Ecol, Ctr Limnol, Rijksstraatweg 6, NL-3631 AC Nieuwersluis, Netherlands.
EM zwart@cl.nioo.knaw.nl
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
[Anonymous], 1969, Mammalian Protein Metabolism, DOI DOI 10.1016/B978-1-4832-3211-9.50009-7
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Begon M, 1990, ECOLOGY INDIVIDUALS
Brock TD., 1987, S SOC GEN MICROBIOLO, V41, P1
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DERIJK P, 1993, COMPUT APPL BIOSCI, V9, P735
Ferris MJ, 1997, APPL ENVIRON MICROB, V63, P1375, DOI 10.1128/AEM.63.4.1375-1381.1997
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FISHER SG, 1979, CELL, V16, P191
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
HASEGAWA M, 1985, J MOL EVOL, V22, P160, DOI 10.1007/BF02101694
HECKMANN K, 1975, J PROTOZOOL, V22, P97, DOI 10.1111/j.1550-7408.1975.tb00949.x
Hedlund BP, 1997, ANTON LEEUW INT J G, V72, P29, DOI 10.1023/A:1000348616863
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Maidak BL, 1997, NUCLEIC ACIDS RES, V25, P109, DOI 10.1093/nar/25.1.109
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nold Stephen C., 1998, Aquatic Ecology, V32, P17, DOI 10.1023/A:1009991918036
OBRIEN WJ, 1992, HYDROBIOLOGIA, V240, P143, DOI 10.1007/BF00013459
OCHMAN H, 1987, J MOL EVOL, V26, P74, DOI 10.1007/BF02111283
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Palys T, 1997, INT J SYST BACTERIOL, V47, P1145, DOI 10.1099/00207713-47-4-1145
Pedersen K, 1996, FEMS MICROBIOL ECOL, V19, P249, DOI 10.1016/0168-6496(96)00017-7
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Sekiguchi Y, 1998, MICROBIOL-UK, V144, P2655, DOI 10.1099/00221287-144-9-2655
Springer N, 1996, FEMS MICROBIOL LETT, V135, P333
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
VandePeer Y, 1997, NUCLEIC ACIDS RES, V25, P111, DOI 10.1093/nar/25.1.111
VANDEPEER Y, 1994, COMPUT APPL BIOSCI, V10, P569
VANLIERE L, 1992, HYDROBIOLOGIA, V233, P95, DOI 10.1007/BF00016099
WARD DM, 1990, NATURE, V345, P63, DOI 10.1038/345063a0
Zwart G, 1998, FEMS MICROBIOL ECOL, V25, P159, DOI 10.1016/S0168-6496(97)00092-5
NR 38
TC 158
Z9 165
PD DEC
PY 1998
VL 21
IS 4
BP 546
EP 556
DI 10.1016/S0723-2020(98)80067-2
UT WOS:000078011000010
DA 2025-07-30
ER
PT J
AU Wang, Y
Wang, B
Dann, LM
Mitchell, JG
Hu, XK
Tang, HT
Zhang, H
Sheng, YQ
AF Wang, Yibo
Wang, Bin
Dann, Lisa M.
Mitchell, James G.
Hu, Xiaoke
Tang, Haitian
Zhang, Hua
Sheng, Yanqing
TI Bacterial community structure in the Bohai Strait provides insights into
organic matter niche partitioning
SO CONTINENTAL SHELF RESEARCH
DT Article
AB The Bohai Strait is a crucial pathway for water exchange between the Bohai Sea and the Yellow Sea, and exhibits a robust spatiotemporal pattern of hydrodynamic conditions. 16S rRNA amplicon sequencing was applied to study the spatiotemporal patterns of bacterial community composition and diversity in the Bohai Strait. Physical and chemical parameters were measured in order to explain what might control the observed patterns in community composition and diversity. In response to environmental changes between seasons, especially the dramatic changes of temperature and nutrient (NO2-N and PO4-P) levels, Synechococcus and unclassified genera in Family I predominated in summer while some oligotrophic taxa (e.g., Pelagibacter, OM43 Glade) are more abundant in winter. The spatial heterogeneity and overall patchiness of bacterial assemblages in the Bohai Strait could not be well explained by the measured factors. However, the taxa with the most spatially variable presence and absence, e.g. Vibrionaceae, SAR11 and Sva0996 marine group, possess differentiated niches for utilization of organic matter (OM) and display a close relationship with the distribution of OM sources in this area, which may indicate the significance of OM sources to bacterial community structure. Our results suggest that local factors rather than regional factors, such as dispersal limited by hydrodynamics, structure the bacterial communities in the Bohai Strait.
C1 [Wang, Yibo; Wang, Bin; Hu, Xiaoke] Chinese Acad Sci, Key Lab Coastal Biol & Bioresource Utilizat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.
[Wang, Yibo; Wang, Bin; Hu, Xiaoke] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China.
[Wang, Yibo; Wang, Bin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
[Dann, Lisa M.; Mitchell, James G.] Flinders Univ S Australia, Sch Biol Sci, Adelaide, SA 5042, Australia.
[Tang, Haitian] State Ocean Adm Peoples Republ China, Yantai Monitoring Ctr Marine Environm, Yantai 264003, Peoples R China.
[Zhang, Hua] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai 264003, Peoples R China.
[Sheng, Yanqing] Chinese Acad Sci, Res Ctr Coastal Environm Engn Technol Shandong Pr, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.
RP Hu, XK (corresponding author), Chinese Acad Sci, Key Lab Coastal Biol & Bioresource Utilizat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.
EM xkhu@yic.ac.cn
CR Agawin NSR, 2000, MAR ECOL PROG SER, V206, P97, DOI 10.3354/meps206097
Agawin NSR, 1998, MAR ECOL PROG SER, V170, P45, DOI 10.3354/meps170045
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], MARINE MICROBIAL ECO
[Anonymous], TRENDS MICROBIOL
[Anonymous], FRONT MICROBIOL
[Anonymous], ENV EARTH SCI
[Anonymous], J PLANKTON RES
[Anonymous], ISRN MICROBIOL
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bi NS, 2011, ESTUAR COAST SHELF S, V93, P239, DOI 10.1016/j.ecss.2011.03.007
Chen CTA, 2009, J MARINE SYST, V78, P394, DOI 10.1016/j.jmarsys.2008.11.016
Cheng P, 2004, ESTUAR COAST SHELF S, V60, P203, DOI 10.1016/j.ecss.2003.12.009
Chiang KP, 2002, CONT SHELF RES, V22, P3, DOI 10.1016/S0278-4343(01)00067-X
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
方越, 2000, Chinese Journal of Oceanology and Limnology, V18, P1
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gilbert J., 2010, Nature Precedings, P1
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015545
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Guan B.-X., 1994, OCEANOLOGY CHINA SEA, V1, P17, DOI DOI 10.1007/978-94-011-0862-1_3
Guo J, 2016, ADV METEOROL, V2016, DOI 10.1155/2016/8170296
Hainbucher D, 2004, J MARINE SYST, V44, P153, DOI 10.1016/j.jmarsys.2003.09.008
Heip Carlo H. R., 1998, Oceanis, V24, P61
Hewson I, 2006, MAR ECOL PROG SER, V311, P67, DOI 10.3354/meps311067
Hunt DE, 2008, APPL ENVIRON MICROB, V74, P44, DOI 10.1128/AEM.01412-07
Jiao NZ, 2005, CONT SHELF RES, V25, P1265, DOI 10.1016/j.csr.2005.01.002
Jones BW, 2007, MICROB ECOL, V54, P314, DOI 10.1007/s00248-006-9204-z
Lage OM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00267
Li YF, 2015, ESTUAR COAST SHELF S, V158, P1, DOI 10.1016/j.ecss.2015.03.013
Lindh MV, 2017, ENVIRON MICROBIOL, V19, P1222, DOI 10.1111/1462-2920.13650
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Lindström ES, 2012, ENV MICROBIOL REP, V4, P1, DOI 10.1111/j.1758-2229.2011.00257.x
Liu DY, 2015, ESTUAR COAST SHELF S, V165, P128, DOI 10.1016/j.ecss.2015.09.007
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Mask AC, 1998, J GEOPHYS RES-OCEANS, V103, P30713, DOI 10.1029/1998JC900007
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NEDWELL DB, 1994, APPL ENVIRON MICROB, V60, P1984, DOI 10.1128/AEM.60.6.1984-1992.1994
Orsi W.D., 2016, ISME J, V10, P1
Pittera J, 2014, ISME J, V8, P1221, DOI 10.1038/ismej.2013.228
R Core Team, 2015, R: a language and environment for statistical computing Internet
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
SIMIDU U, 1980, B JPN SOC SCI FISH, V46, P505
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-118
Tam L, 2001, BIODIVERS CONSERV, V10, P1933, DOI 10.1023/A:1013143503902
Thompson JR, 2006, BIOLOGY OF VIBRIOS, P190
Thompson JR, 2004, APPL ENVIRON MICROB, V70, P4103, DOI 10.1128/AEM.70.7.4103-4110.2004
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Wang CX, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw017
Xia XM, 2015, DEEP-SEA RES PT II, V117, P97, DOI 10.1016/j.dsr2.2015.05.016
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Zhou JZ, 2011, ISME J, V5, P1303, DOI 10.1038/ismej.2011.11
NR 61
TC 13
Z9 13
PD OCT 1
PY 2018
VL 169
BP 46
EP 54
DI 10.1016/j.csr.2018.08.009
UT WOS:000449127800005
DA 2025-07-30
ER
PT J
AU Dadon-Pilosof, A
Conley, KR
Jacobi, Y
Haber, M
Lombard, F
Sutherland, KR
Steindler, L
Tikochinski, Y
Richter, M
Glöckner, FO
Suzuki, MT
West, NJ
Genin, A
Yahel, G
AF Dadon-Pilosof, Ayelet
Conley, Keats R.
Jacobi, Yuval
Haber, Markus
Lombard, Fabien
Sutherland, Kelly R.
Steindler, Laura
Tikochinski, Yaron
Richter, Michael
Glockner, Frank Oliver
Suzuki, Marcelino T.
West, Nyree J.
Genin, Amatzia
Yahel, Gitai
TI Surface properties of SAR11 bacteria facilitate grazing avoidance (vol
2, pg 1608, 2017)
SO NATURE MICROBIOLOGY
DT Correction
CR Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
NR 1
TC 1
Z9 1
PD DEC
PY 2017
VL 2
IS 12
BP 1696
EP 1696
DI 10.1038/s41564-017-0064-8
UT WOS:000417976600021
DA 2025-07-30
ER
PT J
AU Dupont, CL
Rusch, DB
Yooseph, S
Lombardo, MJ
Richter, RA
Valas, R
Novotny, M
Yee-Greenbaum, J
Selengut, JD
Haft, DH
Halpern, AL
Lasken, RS
Nealson, K
Friedman, R
Venter, JC
AF Dupont, Chris L.
Rusch, Douglas B.
Yooseph, Shibu
Lombardo, Mary-Jane
Richter, R. Alexander
Valas, Ruben
Novotny, Mark
Yee-Greenbaum, Joyclyn
Selengut, Jeremy D.
Haft, Dan H.
Halpern, Aaron L.
Lasken, Roger S.
Nealson, Kenneth
Friedman, Robert
Venter, J. Craig
TI Genomic insights to SAR86, an abundant and uncultivated marine bacterial
lineage
SO ISME JOURNAL
DT Article
AB Bacteria in the 16S rRNA clade SAR86 are among the most abundant uncultivated constituents of microbial assemblages in the surface ocean for which little genomic information is currently available. Bioinformatic techniques were used to assemble two nearly complete genomes from marine metagenomes and single-cell sequencing provided two more partial genomes. Recruitment of metagenomic data shows that these SAR86 genomes substantially increase our knowledge of non-photosynthetic bacteria in the surface ocean. Phylogenomic analyses establish SAR86 as a basal and divergent lineage of gamma-proteobacteria, and the individual genomes display a temperature-dependent distribution. Modestly sized at 1.25-1.7 Mbp, the SAR86 genomes lack several pathways for amino-acid and vitamin synthesis as well as sulfate reduction, trends commonly observed in other abundant marine microbes. SAR86 appears to be an aerobic chemoheterotroph with the potential for proteorhodopsin-based ATP generation, though the apparent lack of a retinal biosynthesis pathway may require it to scavenge exogenously-derived pigments to utilize proteorhodopsin. The genomes contain an expanded capacity for the degradation of lipids and carbohydrates acquired using a wealth of tonB-dependent outer membrane receptors. Like the abundant planktonic marine bacterial clade SAR11, SAR86 exhibits metabolic streamlining, but also a distinct carbon compound specialization, possibly avoiding competition. The ISME Journal (2012) 6, 1186-1199; doi:10.1038/ismej.2011.189; published online 15 December 2011
C1 [Dupont, Chris L.; Yooseph, Shibu; Lombardo, Mary-Jane; Richter, R. Alexander; Valas, Ruben; Novotny, Mark; Yee-Greenbaum, Joyclyn; Lasken, Roger S.; Nealson, Kenneth; Friedman, Robert; Venter, J. Craig] J Craig Venter Inst, San Diego, CA 92121 USA.
[Rusch, Douglas B.; Selengut, Jeremy D.; Haft, Dan H.; Halpern, Aaron L.] J Craig Venter Inst, Rockville, MD USA.
RP Dupont, CL (corresponding author), J Craig Venter Inst, 10355 Sci Ctr Dr, San Diego, CA 92121 USA.
EM cdupont@jcvi.org
CR Azam F, 2001, NATURE, V414, P495, DOI 10.1038/35107174
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Blanvillain S, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000224
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Davidsen T, 2010, NUCLEIC ACIDS RES, V38, pD340, DOI 10.1093/nar/gkp912
Dean FB, 2002, P NATL ACAD SCI USA, V99, P5261, DOI 10.1073/pnas.082089499
Dean FB, 2001, GENOME RES, V11, P1095, DOI 10.1101/gr.180501
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Dupont CL, 2006, DEEP-SEA RES PT 1, V57, P553
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Emanuelsson O, 2007, NAT PROTOC, V2, P953, DOI 10.1038/nprot.2007.131
Finn RD, 2010, NUCLEIC ACIDS RES, V38, pD211, DOI 10.1093/nar/gkp985
García-Contreras R, 2004, J BACTERIOL, V186, P6651, DOI 10.1128/JB.186.19.6651-6655.2004
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Haft DH, 2003, NUCLEIC ACIDS RES, V31, P371, DOI 10.1093/nar/gkg128
Hasona A, 2005, P NATL ACAD SCI USA, V102, P17466, DOI 10.1073/pnas.0508778102
Hedges JI, 2002, MAR CHEM, V78, P47, DOI 10.1016/S0304-4203(02)00009-9
Hess M, 2011, SCIENCE, V331, P463, DOI 10.1126/science.1200387
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Larsson P, 2005, NAT GENET, V37, P153, DOI 10.1038/ng1499
Lasken RS, 2007, CURR OPIN MICROBIOL, V10, P510, DOI 10.1016/j.mib.2007.08.005
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Moriya Y, 2007, NUCLEIC ACIDS RES, V35, pW182, DOI 10.1093/nar/gkm321
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Nawrocki EP, 2009, BIOINFORMATICS, V25, P1335, DOI 10.1093/bioinformatics/btp157
Nishino SF, 2010, APPL ENVIRON MICROB, V76, P3590, DOI 10.1128/AEM.00267-10
Raghunathan A, 2005, APPL ENVIRON MICROB, V71, P3342, DOI 10.1128/AEM.71.6.3342-3347.2005
Roy AB, 2003, APPL ENVIRON MICROB, V69, P6434, DOI 10.1128/AEM.69.11.6434-6441.2003
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Rusch DB, 2010, P NATL ACAD SCI USA, V107, P16184, DOI 10.1073/pnas.1009513107
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schauer K, 2008, TRENDS BIOCHEM SCI, V33, P330, DOI 10.1016/j.tibs.2008.04.012
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Teeling H, 2004, ENVIRON MICROBIOL, V6, P938, DOI 10.1111/j.1462-2920.2004.00624.x
Thomas T, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003252
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Van Mooy BAS, 2010, GEOCHIM COSMOCHIM AC, V74, P6499, DOI 10.1016/j.gca.2010.08.026
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Webb ME, 2007, NAT PROD REP, V24, P988, DOI 10.1039/b703105j
Williams KP, 2010, J BACTERIOL, V192, P2305, DOI 10.1128/JB.01480-09
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Wu M, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-10-r151
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
NR 61
TC 403
Z9 450
PD JUN
PY 2012
VL 6
IS 6
BP 1186
EP 1199
DI 10.1038/ismej.2011.189
UT WOS:000304047800011
DA 2025-07-30
ER
PT J
AU Luria, CM
Amaral-Zettler, LA
Ducklow, HW
Rich, JJ
AF Luria, Catherine M.
Amaral-Zettler, Linda A.
Ducklow, Hugh W.
Rich, Jeremy J.
TI Seasonal Succession of Free-Living Bacterial Communities in Coastal
Waters of the Western Antarctic Peninsula
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB The marine ecosystem along the Western Antarctic Peninsula undergoes a dramatic seasonal transition every spring, from almost total darkness to almost continuous sunlight, resulting in a cascade of environmental changes, including phytoplankton blooms that support a highly productive food web. Despite having important implications for the movement of energy and materials through this ecosystem, little is known about how these changes impact bacterial succession in this region. Using 16S rRNA gene amplicon sequencing, we measured changes in free-living bacterial community composition and richness during a 9-month period that spanned winter to the end of summer. Chlorophyll a concentrations were relatively low until summer when a major phytoplankton bloom occurred, followed 3 weeks later by a high peak in bacterial production. Richness in bacterial communities varied between similar to 1,200 and 1,800 observed operational taxonomic units (OTUs) before the major phytoplankton bloom (out of similar to 43,000 sequences per sample). During peak bacterial production, OTU richness decreased to similar to 700 OTUs. The significant decrease in OTU richness only lasted a few weeks, after which time OTU richness increased again as bacterial production declined toward pre-bloom levels. OTU richness was negatively correlated with bacterial production and chlorophyll a concentrations. Unlike the temporal pattern in OTU richness, community composition changed from winter to spring, prior to onset of the summer phytoplankton bloom. Community composition continued to change during the phytoplankton bloom, with increased relative abundance of several taxa associated with phytoplankton blooms, particularly Polaribacter. Bacterial community composition began to revert toward pre-bloom conditions as bacterial production declined. Overall, our findings clearly demonstrate the temporal relationship between phytoplankton blooms and seasonal succession in bacterial growth and community composition. Our study highlights the importance of high-resolution time series sampling, especially during the relatively under-sampled Antarctic winter and spring, which enabled us to discover seasonal changes in bacterial community composition that preceded the summertime phytoplankton bloom.
C1 [Luria, Catherine M.] Brown Univ, Dept Ecol & Evolutionary Biol, Providence, RI 02912 USA.
[Amaral-Zettler, Linda A.] Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA 02543 USA.
[Amaral-Zettler, Linda A.] Brown Univ, Dept Earth Environm & Planetary Sci, Providence, RI 02912 USA.
[Ducklow, Hugh W.] Columbia Univ, Lamont Doherty Earth Observ, Dept Earth & Environm Sci, Palisades, NY USA.
[Rich, Jeremy J.] Univ Maine, Sch Marine Sci, Walpole, ME 04573 USA.
[Rich, Jeremy J.] Univ Maine, Darling Marine Ctr, Walpole, ME 04573 USA.
RP Amaral-Zettler, LA (corresponding author), Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA 02543 USA.; Amaral-Zettler, LA (corresponding author), Brown Univ, Dept Earth Environm & Planetary Sci, Providence, RI 02912 USA.; Rich, JJ (corresponding author), Univ Maine, Sch Marine Sci, Walpole, ME 04573 USA.; Rich, JJ (corresponding author), Univ Maine, Darling Marine Ctr, Walpole, ME 04573 USA.
EM amaral@mbl.edu; jeremy.rich@maine.edu
CR Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Arrigo KR, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035624
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Bælum J, 2012, ENVIRON MICROBIOL, V14, P2405, DOI 10.1111/j.1462-2920.2012.02780.x
BILLEN G, 1991, POLAR RES, V10, P245, DOI 10.1111/j.1751-8369.1991.tb00650.x
Bird DF, 1999, AQUAT MICROB ECOL, V19, P13, DOI 10.3354/ame019013
BIRD DF, 1991, DEEP-SEA RES, V38, P1057, DOI 10.1016/0198-0149(91)90096-X
Blunden J, 2014, B AM METEOROL SOC, V95, pS1, DOI 10.1175/2014BAMSStateoftheClimate.1
Bowman JS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135868
Brum JR, 2016, ISME J, V10, P437, DOI 10.1038/ismej.2015.125
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
Chan ZH, 2015, MAR GENOM, V20, P23, DOI 10.1016/j.margen.2014.12.001
Chao A, 2014, ECOL MONOGR, V84, P45, DOI 10.1890/13-0133.1
Chao A, 2012, ECOLOGY, V93, P2533, DOI 10.1890/11-1952.1
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
COLE JJ, 1982, ANNU REV ECOL SYST, V13, P291, DOI 10.1146/annurev.es.13.110182.001451
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Duarte CM, 2005, LIMNOL OCEANOGR, V50, P1844, DOI 10.4319/lo.2005.50.6.1844
Ducklow H, 2001, DEEP-SEA RES PT II, V48, P4199, DOI 10.1016/S0967-0645(01)00086-8
Ducklow H., 2016, DATAFROM BACTERIAL P
Ducklow H., 1991, DATTA DISSOLVED INOR
Ducklow HW, 2012, J MARINE SYST, V98-99, P26, DOI 10.1016/j.jmarsys.2012.03.003
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
El-Swais H, 2015, ENVIRON MICROBIOL, V17, P3642, DOI 10.1111/1462-2920.12629
Eren AM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066643
Faust K, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002606
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Gwinn DC, 2016, METHODS ECOL EVOL, V7, P294, DOI 10.1111/2041-210X.12462
IRIBERRI J, 1987, APPL ENVIRON MICROB, V53, P2308, DOI 10.1128/AEM.53.10.2308-2314.1987
JORGENSON DW, 1966, ECONOMETRICA, V34, P135, DOI 10.2307/1909858
KARL DM, 1991, DEEP-SEA RES, V38, P1029, DOI 10.1016/0198-0149(91)90095-W
Kerkhof L. J., 1999, MOL ECOLOGY AQUATIC, P139, DOI [10.1007/978-94-011-4201-4_11, DOI 10.1007/978-94-011-4201-4_11]
Kim H, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00214
Kim JG, 2014, ENVIRON MICROBIOL, V16, P1566, DOI 10.1111/1462-2920.12287
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kirchman DL, 2001, DEEP-SEA RES PT II, V48, P4179, DOI 10.1016/S0967-0645(01)00085-6
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
LANCELOT C, 1991, MAR CHEM, V35, P305, DOI 10.1016/S0304-4203(09)90024-X
Landa M, 2014, ENVIRON MICROBIOL, V16, P1668, DOI 10.1111/1462-2920.12242
Liu Y, 2015, 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), P21, DOI 10.1109/IEEM.2015.7385600
Luria CM, 2014, AQUAT MICROB ECOL, V73, P107, DOI 10.3354/ame01703
Manganelli M, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006941
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
McMurdie PJ, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003531
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Morán XAG, 2002, MICROBIAL ECOL, V44, P217, DOI 10.1007/s00248-002-1026-z
Morán XAG, 2001, MAR ECOL PROG SER, V222, P25, DOI 10.3354/meps222025
Morris JH, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-436
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nikrad MP, 2014, APPL ENVIRON MICROB, V80, P3362, DOI 10.1128/AEM.00121-14
Oksanen Jari, 2024, CRAN
Ortega-Retuerta E, 2008, AQUAT MICROB ECOL, V52, P99, DOI 10.3354/ame01216
Ortega-Retuerta E, 2013, BIOGEOSCIENCES, V10, P2747, DOI 10.5194/bg-10-2747-2013
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Prieto A, 2016, J PLANKTON RES, V38, P55, DOI 10.1093/plankt/fbv101
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schofield O., 2016, DATA CHLOROPHYLL PHA
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Sher D, 2011, ISME J, V5, P1125, DOI 10.1038/ISMEJ.2011.1
Smetacek V, 2005, NATURE, V437, P362, DOI 10.1038/nature04161
Smith MW, 2013, FRONT MICROBIOL, V4, DOI [10.3389/fmicb.2013.00120, 10.3389/fpls.2013.00486]
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Spieck E, 2014, SYST APPL MICROBIOL, V37, P170, DOI 10.1016/j.syapm.2013.12.005
Stammerjohn SE, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004269
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
THINGSTAD TF, 1991, POLAR RES, V10, P255, DOI 10.1111/j.1751-8369.1991.tb00651.x
Tolar BB, 2016, ISME J, V10, P2605, DOI 10.1038/ismej.2016.61
TURLEY CM, 1994, MAR ECOL PROG SER, V115, P191, DOI 10.3354/meps115191
Venables WN., 2002, Modern Applied Statistics with S, V4, DOI DOI 10.1007/978-0-387-21706-2
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wang H, 2016, CRIT REV BIOTECHNOL, V36, P341, DOI 10.3109/07388551.2014.961402
Wemheuer B, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00805
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wright JJ, 2014, ISME J, V8, P455, DOI 10.1038/ismej.2013.152
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yilmaz P, 2011, NAT BIOTECHNOL, V29, P415, DOI 10.1038/nbt.1823
Zeileis A, 2005, J STAT SOFTW, V14, P1, DOI DOI 10.18637/JSS.V014.I06
Zeileis Achim., 2016, dynlm: Dynamic Linear Regression
NR 103
TC 52
Z9 59
PD NOV 3
PY 2016
VL 7
AR 1731
DI 10.3389/fmicb.2016.01731
UT WOS:000388683600001
DA 2025-07-30
ER
PT J
AU Henson, MW
Lanclos, VC
Faircloth, BC
Thrash, JC
AF Henson, Michael W.
Lanclos, V. Celeste
Faircloth, Brant C.
Thrash, J. Cameron
TI Cultivation and genomics of the first freshwater SAR11 (LD12) isolate
(vol 12, pg 1846, 2019)
SO ISME JOURNAL
DT Correction
EM thrashc@lsu.edu
CR Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
NR 1
TC 0
Z9 0
PD MAR
PY 2020
VL 14
IS 3
BP 877
EP 877
DI 10.1038/s41396-019-0569-7
UT WOS:000514576800020
DA 2025-07-30
ER
PT J
AU Sun, J
Todd, JD
Thrash, JC
Qian, YP
Qian, MC
Temperton, B
Guo, JZ
Fowler, EK
Aldrich, JT
Nicora, CD
Lipton, MS
Smith, RD
De Leenheer, P
Payne, SH
Johnston, AWB
Davie-Martin, CL
Halsey, KH
Giovannoni, SJ
AF Sun, Jing
Todd, Jonathan D.
Thrash, J. Cameron
Qian, Yanping
Qian, Michael C.
Temperton, Ben
Guo, Jiazhen
Fowler, Emily K.
Aldrich, Joshua T.
Nicora, Carrie D.
Lipton, Mary S.
Smith, Richard D.
De Leenheer, Patrick
Payne, Samuel H.
Johnston, Andrew W. B.
Davie-Martin, Cleo L.
Halsey, Kimberly H.
Giovannoni, Stephen J.
TI The abundant marine bacterium Pelagibacter simultaneously catabolizes
dimethylsulfoniopropionate to the gases dimethyl sulfide and
methanethiol
SO Nature Microbiology
DT Letter
NR 0
TC 4
Z9 4
PD NOV
PY 2016
VL 1
IS 11
DI 10.1038/NMICROBIOL.2016.210
UT WOS:000389139500020
DA 2025-07-30
ER
PT J
AU Steele, JA
Countway, PD
Xia, L
Vigil, PD
Beman, JM
Kim, DY
Chow, CET
Sachdeva, R
Jones, AC
Schwalbach, MS
Rose, JM
Hewson, I
Patel, A
Sun, FZ
Caron, DA
Fuhrman, JA
AF Steele, Joshua A.
Countway, Peter D.
Xia, Li
Vigil, Patrick D.
Beman, J. Michael
Kim, Diane Y.
Chow, Cheryl-Emiliane T.
Sachdeva, Rohan
Jones, Adriane C.
Schwalbach, Michael S.
Rose, Julie M.
Hewson, Ian
Patel, Anand
Sun, Fengzhu
Caron, David A.
Fuhrman, Jed A.
TI Marine bacterial, archaeal and protistan association networks reveal
ecological linkages
SO ISME JOURNAL
DT Article
AB Microbes have central roles in ocean food webs and global biogeochemical processes, yet specific ecological relationships among these taxa are largely unknown. This is in part due to the dilute, microscopic nature of the planktonic microbial community, which prevents direct observation of their interactions. Here, we use a holistic (that is, microbial system-wide) approach to investigate time-dependent variations among taxa from all three domains of life in a marine microbial community. We investigated the community composition of bacteria, archaea and protists through cultivation-independent methods, along with total bacterial and viral abundance, and physicochemical observations. Samples and observations were collected monthly over 3 years at a well-described ocean time-series site of southern California. To find associations among these organisms, we calculated time-dependent rank correlations (that is, local similarity correlations) among relative abundances of bacteria, archaea, protists, total abundance of bacteria and viruses and physico-chemical parameters. We used a network generated from these statistical correlations to visualize and identify time-dependent associations among ecologically important taxa, for example, the SAR11 cluster, stramenopiles, alveolates, cyanobacteria and ammonia-oxidizing archaea. Negative correlations, perhaps suggesting competition or predation, were also common. The analysis revealed a progression of microbial communities through time, and also a group of unknown eukaryotes that were highly correlated with dinoflagellates, indicating possible symbioses or parasitism. Possible 'keystone' species were evident. The network has statistical features similar to previously described ecological networks, and in network parlance has non-random, small world properties (that is, highly interconnected nodes). This approach provides new insights into the natural history of microbes. The ISME Journal (2011) 5, 1414-1425; doi:10.1038/ismej.2011.24; published online 24 March 2011
C1 Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
Univ So Calif, Wrigley Inst Environm Studies, Los Angeles, CA USA.
RP Steele, JA (corresponding author), CALTECH, Div Geol & Planetary Sci, Mail Code 100-23, Pasadena, CA 91125 USA.
EM josh.a.steele@gmail.com
CR Achtman M, 2008, NAT REV MICROBIOL, V6, P431, DOI 10.1038/nrmicro1872
Albert R, 2002, REV MOD PHYS, V74, P47, DOI 10.1103/RevModPhys.74.47
Albert R, 2000, NATURE, V406, P378, DOI 10.1038/35019019
[Anonymous], 2001, METAANALYSIS COMBINI
Assenov Y, 2008, BIOINFORMATICS, V24, P282, DOI 10.1093/bioinformatics/btm554
Beman JM, 2010, ENVIRON MICROBIOL, V12, P1282, DOI 10.1111/j.1462-2920.2010.02172.x
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Caron DA, 2009, APPL ENVIRON MICROB, V75, P5797, DOI 10.1128/AEM.00298-09
Caron DA, 2009, BIOSCIENCE, V59, P287, DOI 10.1525/bio.2009.59.4.7
Chaffron S, 2010, GENOME RES, V20, P947, DOI 10.1101/gr.104521.109
Chambouvet A, 2008, SCIENCE, V322, P1254, DOI 10.1126/science.1164387
Countway PD, 2005, J EUKARYOT MICROBIOL, V52, P95, DOI 10.1111/j.1550-7408.2005.05202006.x
Countway PD, 2006, APPL ENVIRON MICROB, V72, P2496, DOI 10.1128/AEM.72.4.2496-2506.2006
Countway PD, 2010, LIMNOL OCEANOGR, V55, P2381, DOI 10.4319/lo.2010.55.6.2381
Crosby LD, 2003, BIOTECHNIQUES, V34, P790, DOI 10.2144/03344rr01
DeLong EF, 2009, NATURE, V459, P200, DOI 10.1038/nature08059
DeSantis TZ, 2007, MICROB ECOL, V53, P371, DOI 10.1007/s00248-006-9134-9
Díez B, 2001, APPL ENVIRON MICROB, V67, P2932, DOI 10.1128/AEM.67.7.2932-2941.2001
Ducklow H.W., 2000, MICROBIAL ECOLOGY OC, P85
Dunne JA, 2002, P NATL ACAD SCI USA, V99, P12917, DOI 10.1073/pnas.192407699
ERDOS P, 1960, B INT STATIST INST, V38, P343
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
Fogel GB, 1999, MICROB ECOL, V38, P93, DOI 10.1007/s002489900162
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Gurevitch J, 1999, ECOLOGY, V80, P1142, DOI 10.2307/177061
Hedges LV, 1999, ECOLOGY, V80, P1150, DOI 10.1890/0012-9658(1999)080[1150:TMAORR]2.0.CO;2
Hewson I, 2006, MICROB ECOL, V51, P147, DOI 10.1007/s00248-005-0144-9
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Koeppel A, 2008, P NATL ACAD SCI USA, V105, P2504, DOI 10.1073/pnas.0712205105
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Montoya JM, 2006, NATURE, V442, P259, DOI 10.1038/nature04927
Olesen JM, 2006, J THEOR BIOL, V240, P270, DOI 10.1016/j.jtbi.2005.09.014
Orphan VJ, 2001, SCIENCE, V293, P484, DOI 10.1126/science.1061338
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Pastor-Satorras R, 2001, PHYS REV LETT, V87, DOI 10.1103/PhysRevLett.87.258701
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rodríguez F, 2005, ENVIRON MICROBIOL, V7, P853, DOI 10.1111/j.1462-2920.2005.00758.x
Ruan QS, 2006, BIOINFORMATICS, V22, P2532, DOI 10.1093/bioinformatics/btl417
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schütte UME, 2008, APPL MICROBIOL BIOT, V80, P365, DOI 10.1007/s00253-008-1565-4
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sherr E., 2008, MICROBIAL ECOLOGY OC, P27
Storey JD, 2002, J ROY STAT SOC B, V64, P479, DOI 10.1111/1467-9868.00346
Suzuki M, 1998, APPL ENVIRON MICROB, V64, P4522
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Vigil P, 2009, AQUAT MICROB ECOL, V54, P83, DOI 10.3354/ame01252
WAGNER A, 2000, 0007041 SANT FE I
Watts DJ, 1998, NATURE, V393, P440, DOI 10.1038/30918
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
Yannarell AC, 2005, APPL ENVIRON MICROB, V71, P227, DOI 10.1128/AEM.71.1.227-239.2005
Yook SH, 2002, P NATL ACAD SCI USA, V99, P13382, DOI 10.1073/pnas.172501399
Zhou JZ, 2010, MBIO, V1, DOI 10.1128/mBio.00169-10
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 60
TC 511
Z9 587
PD SEP
PY 2011
VL 5
IS 9
BP 1414
EP 1425
DI 10.1038/ismej.2011.24
UT WOS:000295782900003
DA 2025-07-30
ER
PT J
AU Liang, YT
Wang, L
Wang, ZM
Zhao, JL
Yang, QW
Wang, M
Yang, KG
Zhang, LH
Jiao, NZ
Zhang, YY
AF Liang, Yantao
Wang, Long
Wang, Zengmeng
Zhao, Jiulong
Yang, Qingwei
Wang, Min
Yang, Kaiguang
Zhang, Lihua
Jiao, Nianzhi
Zhang, Yongyu
TI Metagenomic Analysis of the Diversity of DNA Viruses in the Surface and
Deep Sea of the South China Sea
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB A metagenomic analysis of the viral community from five surface and five deep sea water (>2000 m below the surface, mbs) samples collected from the central basin of the South China Sea and adjacent Northwest Pacific Ocean during July-August 2017 was conducted herein. We builded up a South China Sea DNA virome (SCSV) dataset of 29,967 viral Operational Taxonomic Units (vOTUs), which is comparable to the viral populations from the original Tara Ocean and Malaspina expeditions. The most abundant and widespread viral populations were from the uncultivated viruses annotated from the viral metagenomics. Only 74 and 37 vOTUs have similarity with the reported genomes from the cultivated viruses and the single-virus genomics, respectively. The community structures of deep sea viromes in the SCSV were generally different from the surface viromes. The carbon flux and nutrients (PO4 and NOx) were related to the surface and deep sea viromes in the SCSV, respectively. In the SCSV, the annotated vOTUs could be affiliated to the cultivated viruses mainly including Pelagibacter (SAR11) phage HTVC010P, Prochlorococcus phages (P-GSP1, P-SSM4, and P-TIM68), Cyanophages (MED4-184 and MED4-117) and Mycobacterium phages (Sparky and Squirty). It indicated that phage infection to the SAR11 cluster may occur ubiquitously and has significant impacts on bathypelagic SAR11 communities in the deep sea. Meanwhile, as Prochlorococcus is prominently distributed in the euphotic ocean, the existence of their potential phages in the deep sea suggested the sedimentation mechanism might contribute to the formation of the deep sea viromes. Intriguingly, the presence of Mycobacterium phages only in the deep sea viromes, suggests inhabitance of endemic viral populations in the deep sea viromes in the SCSV. This study provided an insight of the viral community in the South China Sea and for the first time uncovered the deep sea viral diversity in the central basin of the South China Sea.
C1 [Liang, Yantao; Wang, Long; Wang, Zengmeng; Zhao, Jiulong; Zhang, Yongyu] Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Key Lab Biofuels, Shandong Prov Key Lab Energy Genet, Qingdao, Shandong, Peoples R China.
[Liang, Yantao; Yang, Qingwei; Wang, Min] Ocean Univ China, Coll Marine Life Sci, Inst Evolut & Manne Biodivers, Qingdao, Shandong, Peoples R China.
[Liang, Yantao; Jiao, Nianzhi] Xiamen Univ, Inst Marine Microbes & Ecospheres, State Key Lab Marine Environm Sci, Xiamen, Fujian, Peoples R China.
[Yang, Kaiguang; Zhang, Lihua] Chinese Acad Sci, Dalian Inst Chem Phys, Dalian, Peoples R China.
RP Zhang, YY (corresponding author), Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Key Lab Biofuels, Shandong Prov Key Lab Energy Genet, Qingdao, Shandong, Peoples R China.
EM zhangyy@qibebt.ac.cn
CR Agusti S, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8608
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Antia AN, 2001, GLOBAL BIOGEOCHEM CY, V15, P845, DOI 10.1029/2000GB001376
Aylward FO, 2017, P NATL ACAD SCI USA, V114, P11446, DOI 10.1073/pnas.1714821114
Behrenfeld MJ, 1997, LIMNOL OCEANOGR, V42, P1, DOI 10.4319/lo.1997.42.1.0001
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2015, NAT REV MICROBIOL, V13, P147, DOI 10.1038/nrmicro3404
Cai LL, 2019, ISME J, V13, P1857, DOI 10.1038/s41396-019-0397-9
Cai LL, 2016, VIRUSES-BASEL, V8, DOI 10.3390/v8020035
Castelán-Sánchez HG, 2019, MAR GENOM, V46, P16, DOI 10.1016/j.margen.2019.03.001
CHEN F, 1995, APPL ENVIRON MICROB, V61, P1274, DOI 10.1128/AEM.61.4.1274-1278.1995
Chénard C, 2016, MBIO, V7, DOI 10.1128/mBio.00667-16
Culley AI, 2006, SCIENCE, V312, P1795, DOI 10.1126/science.1127404
Duhaime MB, 2012, VIROLOGY, V434, P181, DOI 10.1016/j.virol.2012.09.036
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Gong Z, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02981
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Guo RY, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02289
Han AQ, 2012, LIMNOL OCEANOGR, V57, P486, DOI 10.4319/lo.2012.57.2.0486
He MQ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00897
Hu DX, 2015, NATURE, V522, P299, DOI 10.1038/nature14504
Huang SJ, 2015, APPL ENVIRON MICROB, V81, P441, DOI 10.1128/AEM.02483-14
Huang SJ, 2010, ISME J, V4, P1243, DOI 10.1038/ismej.2010.56
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Jiao N, 2014, BIOGEOSCIENCES, V11, P2391, DOI 10.5194/bg-11-2391-2014
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Koonin EV, 2015, ANN NY ACAD SCI, V1341, P10, DOI 10.1111/nyas.12728
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Liang YT, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw238
Liang YT, 2016, MAR GENOM, V25, P17, DOI 10.1016/j.margen.2015.10.009
Lu ZM, 2012, ISME J, V6, P451, DOI 10.1038/ismej.2011.91
Marine R, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-3
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Noguchi H, 2008, DNA RES, V15, P387, DOI 10.1093/dnares/dsn027
Nunoura T, 2015, P NATL ACAD SCI USA, V112, pE1230, DOI 10.1073/pnas.1421816112
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Oksanen J., 2011, vegan: Community Ecology Package. R Package Version 1.17-4
Paez-Espino D, 2019, NUCLEIC ACIDS RES, V47, pD678, DOI 10.1093/nar/gky1127
Patro R, 2017, NAT METHODS, V14, P417, DOI 10.1038/nmeth.4197
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Roux S, 2019, NAT BIOTECHNOL, V37, P29, DOI 10.1038/nbt.4306
Roux S, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01086-2
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Steward GF, 2011, VIROL J, V8, DOI 10.1186/1743-422X-8-287
Sun GW, 2014, METHODSX, V1, P197, DOI 10.1016/j.mex.2014.09.001
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thurber RV, 2009, NAT PROTOC, V4, P470, DOI 10.1038/nprot.2009.10
Tian JW, 2009, J PHYS OCEANOGR, V39, P3191, DOI 10.1175/2009JPO3899.1
Wang GH, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2010GL046626
Warn-Varnas A, 2010, OCEAN MODEL, V31, P9, DOI 10.1016/j.ocemod.2009.08.002
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Williamson SJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042047
Winter C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100600
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Wu K, 2015, DEEP-SEA RES PT II, V122, P41, DOI 10.1016/j.dsr2.2015.06.013
Yang QW, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11020095
Yokokawa T, 2013, LIMNOL OCEANOGR, V58, P61, DOI 10.4319/lo.2013.58.1.0061
Yuan D., 2002, Acta Oceanologica Sinica, V21, P187
Zhang Y, 2016, J GEOPHYS RES-BIOGEO, V121, P2261, DOI 10.1002/2016JG003390
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 69
TC 42
Z9 44
PD AUG 23
PY 2019
VL 10
AR 1951
DI 10.3389/fmicb.2019.01951
UT WOS:000482413400001
DA 2025-07-30
ER
PT J
AU Qin, F
Du, S
Zhang, ZF
Ying, HQ
Wu, Y
Zhao, GY
Yang, MY
Zhao, YL
AF Qin, Fang
Du, Sen
Zhang, Zefeng
Ying, Hanqi
Wu, Ying
Zhao, Guiyuan
Yang, Mingyu
Zhao, Yanlin
TI Newly identified HMO-2011-type phages reveal genomic diversity and
biogeographic distributions of this marine viral group
SO ISME JOURNAL
DT Article
AB Viruses play critical roles in influencing biogeochemical cycles and adjusting host mortality, population structure, physiology, and evolution in the ocean. Marine viral communities are composed of numerous genetically distinct subfamily/genus-level viral groups. Among currently identified viral groups, the HMO-2011-type group is known to be dominant and broadly distributed. However, only four HMO-2011-type cultivated representatives that infect marine SAR116 and Roseobacter strains have been reported to date, and the genetic diversity, potential hosts, and ecology of this group remain poorly elucidated. Here, we present the genomes of seven HMO-2011-type phages that were isolated using four Roseobacter strains and one SAR11 strain, as well as additional 207 HMO-2011-type metagenomic viral genomes (MVGs) identified from various marine viromes. Phylogenomic and shared-gene analyses revealed that the HMO-2011-type group is a subfamily-level group comprising at least 10 discernible genus-level subgroups. Moreover, >2000 HMO-2011-type DNA polymerase sequences were identified, and the DNA polymerase phylogeny also revealed that the HMO-2011-type group contains diverse subgroups and is globally distributed. Metagenomic read-mapping results further showed that most HMO-2011-type phages are prevalent in global oceans and display distinct geographic distributions, with the distribution of most HMO-2011-type phages being associated with temperature. Lastly, we found that members in subgroup IX, represented by pelagiphage HTVC033P, were among the most abundant HMO-2011-type phages, which implies that SAR11 bacteria are crucial hosts for this viral group. In summary, our findings substantially expand current knowledge regarding the phylogenetic diversity, evolution, and distribution of HMO-2011-type phages, highlighting HMO-2011-type phages as major ecological agents that can infect certain key bacterial groups.
C1 [Qin, Fang; Du, Sen; Zhang, Zefeng; Ying, Hanqi; Wu, Ying; Zhao, Guiyuan; Yang, Mingyu; Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll Life Sci, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Fuzhou, Peoples R China.
[Zhao, Yanlin] Fujian Agr & Forestry Univ, Inst Oceanol, Key Lab Marine Biotechnol Fujian Prov, Fuzhou, Peoples R China.
RP Zhao, YL (corresponding author), Fujian Agr & Forestry Univ, Coll Life Sci, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Fuzhou, Peoples R China.; Zhao, YL (corresponding author), Fujian Agr & Forestry Univ, Inst Oceanol, Key Lab Marine Biotechnol Fujian Prov, Fuzhou, Peoples R China.
EM yanlinzhao@fafu.edu.cn
CR Ahlgren NA, 2019, ISME J, V13, P618, DOI 10.1038/s41396-018-0289-4
Beaulaurier J, 2020, GENOME RES, V30, P437, DOI 10.1101/gr.251686.119
Beinert H, 1997, SCIENCE, V277, P653, DOI 10.1126/science.277.5326.653
Berthold CL, 2009, P NATL ACAD SCI USA, V106, P14247, DOI 10.1073/pnas.0905906106
Besemer J, 2001, NUCLEIC ACIDS RES, V29, P2607, DOI 10.1093/nar/29.12.2607
Bhattacharya B, 2008, FEMS MICROBIOL LETT, V280, P64, DOI 10.1111/j.1574-6968.2007.01047.x
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bischoff V, 2019, ISME J, V13, P1404, DOI 10.1038/s41396-019-0362-7
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Clokie MRJ, 2006, ENVIRON MICROBIOL, V8, P2074, DOI 10.1111/j.1462-2920.2006.01171.x
Coutinho FH, 2019, BMC BIOL, V17, DOI 10.1186/s12915-019-0723-8
Coutinho FH, 2021, PATTERNS, V2, DOI 10.1016/j.patter.2021.100274
Delcher Arthur L, 2003, Curr Protoc Bioinformatics, VChapter 10, DOI 10.1002/0471250953.bi1003s00
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Eddy Sean R, 2009, Genome Inform, V23, P205
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Emms DM, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0721-2
Finn RD., 2014, V42
Fogg PCM, 2014, J MOL BIOL, V426, P2703, DOI 10.1016/j.jmb.2014.05.014
Fontecave M, 2008, ARCH BIOCHEM BIOPHYS, V474, P226, DOI 10.1016/j.abb.2007.12.014
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Gross M, 2006, MOL MICROBIOL, V59, P590, DOI 10.1111/j.1365-2958.2005.04956.x
Groth AC, 2004, J MOL BIOL, V335, P667, DOI 10.1016/j.jmb.2003.09.082
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kang I, 2014, J MICROBIOL BIOTECHN, V24, P592, DOI 10.4014/jmb.1312.12062
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Keizo N., 2010, MAVE, V10, P92, DOI DOI 10.4319/MAVE.2010.978-0-9845591-0-7.92
Koehn EM, 2010, ARCH BIOCHEM BIOPHYS, V493, P96, DOI 10.1016/j.abb.2009.07.016
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Lavigne R, 2008, RES MICROBIOL, V159, P406, DOI 10.1016/j.resmic.2008.03.005
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
López-Pérez M, 2019, ENVIRON MICROBIOL, V21, P1980, DOI 10.1111/1462-2920.14462
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Lundin D, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-383
Luo EL, 2020, ISME J, V14, P1304, DOI 10.1038/s41396-020-0604-8
Marchler-Bauer A, 2011, NUCLEIC ACIDS RES, V39, pD225, DOI 10.1093/nar/gkq1189
Marston MF, 2012, P NATL ACAD SCI USA, V109, P4544, DOI 10.1073/pnas.1120310109
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Martinez-Yamout M, 2000, J MOL BIOL, V300, P805, DOI 10.1006/jmbi.2000.3923
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Mikolcevic P, 2021, COMPUT STRUCT BIOTEC, V19, P2366, DOI 10.1016/j.csbj.2021.04.023
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Myllykallio H, 2002, SCIENCE, V297, P105, DOI 10.1126/science.1072113
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Nishimura Y, 2017, MSPHERE, V2, DOI 10.1128/mSphere.00359-16
Nordlund N, 2006, ANNU REV BIOCHEM, V75, P681, DOI 10.1146/annurev.biochem.75.103004.142443
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Potter SC, 2018, NUCLEIC ACIDS RES, V46, pW200, DOI 10.1093/nar/gky448
Puvirajesinghe TM, 2012, J BIOL CHEM, V287, P14169, DOI 10.1074/jbc.M111.331462
Rihtman B, 2019, ENV MICROBIOL REP, V11, P448, DOI 10.1111/1758-2229.12741
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2014, ELIFE, V3, DOI 10.7554/eLife.03125
Sakowski EG, 2014, P NATL ACAD SCI USA, V111, P15786, DOI 10.1073/pnas.1401322111
Schmidt HF, 2014, ISME J, V8, P103, DOI 10.1038/ismej.2013.124
SCHRODER H, 1993, EMBO J, V12, P4137, DOI 10.1002/j.1460-2075.1993.tb06097.x
Söding J, 2005, NUCLEIC ACIDS RES, V33, pW244, DOI 10.1093/nar/gki408
Sullivan MJ, 2011, BIOINFORMATICS, V27, P1009, DOI 10.1093/bioinformatics/btr039
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
SZABO A, 1994, P NATL ACAD SCI USA, V91, P10345, DOI 10.1073/pnas.91.22.10345
Warwick-Dugdale J, 2019, PEERJ, V7, DOI 10.7717/peerj.6800
Werner A, 2001, AM J PHYSIOL-REG I, V280, pR301, DOI 10.1152/ajpregu.2001.280.2.R301
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zhai ZQ, 2021, MICROBIOL SPECTR, V9, DOI 10.1128/Spectrum.01239-21
Zhang Y, 2016, APPL ENVIRON MICROB, V82, P2100, DOI 10.1128/AEM.03678-15
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhang ZF, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00494-19
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
ZYLICZ M, 1989, EMBO J, V8, P1601, DOI 10.1002/j.1460-2075.1989.tb03544.x
ZYLICZ M, 1993, PHILOS T ROY SOC B, V339, P271, DOI 10.1098/rstb.1993.0025
NR 81
TC 11
Z9 11
PD MAY
PY 2022
VL 16
IS 5
BP 1363
EP 1375
DI 10.1038/s41396-021-01183-7
EA JAN 2022
UT WOS:000741916300002
DA 2025-07-30
ER
PT J
AU Reji, L
Tolar, BB
Chavez, FP
Francis, CA
AF Reji, Linta
Tolar, Bradley B.
Chavez, Francisco P.
Francis, Christopher A.
TI Depth-Differentiation and Seasonality of Planktonic Microbial
Assemblages in the Monterey Bay Upwelling System
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Coastal upwelling regions are hotspots of biological productivity, supporting diverse communities of microbial life and metabolisms. Monterey Bay (MB), a coastal ocean embayment in central California, experiences seasonal upwelling of cold, nutrient-rich waters that sustain episodes of high phytoplankton production in surface waters. While productivity in surface waters is intimately linked to metabolisms of diverse communities of Archaea and Bacteria, a comprehensive understanding of the microbial community in MB is missing thus far, particularly in relation to the distinct hydrographic seasons characteristic of the MB system. Here we present the results of a 2-year microbial time-series survey in MB, investigating community composition and structure across spatiotemporal gradients. In deciphering these patterns, we used unique sequence variants (SVs) of the 16S rRNA gene (V4-V5 region), complemented with metagenomes and metatranscriptomes representing multiple depth profiles. We found clear depth-differentiation and recurring seasonal abundance patterns within planktonic communities, particularly when analyzed at finer taxonomic levels. Compositional changes were more pronounced in the upper 0-40 m of the water column, whereas deeper depths were characterized by temporally stable populations. In accordance with the dynamic nutrient profiles, the system appears to change from a Bacteroidetes- and Rhodobacterales-dominated upwelling period to an oceanic season dominated by oligotrophic groups such as SAR11 and picocyanobacteria. The cascade of environmental changes brought about by upwelling and relaxation events thus impacts microbial community structure in the bay, with important implications for the temporal variability of nutrient and energy fluxes within the MB ecosystem. Our observations emphasize the need for continued monitoring of planktonic microbial communities in order to predict and manage the behavior of this sensitive marine sanctuary ecosystem, over projected intensification of upwelling in the region.
C1 [Reji, Linta; Tolar, Bradley B.; Francis, Christopher A.] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
[Chavez, Francisco P.] Monterey Bay Aquarium Res Inst, Biol Oceanog Grp, Moss Landing, CA USA.
RP Francis, CA (corresponding author), Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
EM caf@stanford.edu
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
Alvarez L., 2018, INT J MICROBIOL, V22, P19, DOI [10.1007/S9123-018-0023-0, DOI 10.1007/S9123-018-0023-0]
Anderson MJ, 2006, BIOMETRICS, V62, P245, DOI 10.1111/j.1541-0420.2005.00440.x
Anderson MJ, 2003, ECOLOGY, V84, P511, DOI 10.1890/0012-9658(2003)084[0511:CAOPCA]2.0.CO;2
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
[Anonymous], 2018, R LANG ENV STAT COMP
[Anonymous], 2011, communications
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Biddanda B, 1997, LIMNOL OCEANOGR, V42, P506, DOI 10.4319/lo.1997.42.3.0506
Bolin R.L., 1960, California Cooperative Oceanic Fisheries Investigations Report, V9, P23
Bond NA, 2015, GEOPHYS RES LETT, V42, P3414, DOI 10.1002/2015GL063306
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Camarena-Gómez MT, 2018, AQUAT MICROB ECOL, V81, P149, DOI 10.3354/ame01868
Capone DG, 2013, NAT GEOSCI, V6, P711, DOI 10.1038/NGEO1916
Chavez FP, 1996, GEOPHYS RES LETT, V23, P265, DOI 10.1029/96GL00017
Chavez FP, 2009, PROG OCEANOGR, V83, P80, DOI 10.1016/j.pocean.2009.07.032
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
CLARKE KR, 1993, MAR ECOL PROG SER, V92, P205, DOI 10.3354/meps092205
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Di Lorenzo E, 2016, NAT CLIM CHANGE, V6, P1042, DOI [10.1038/NCLIMATE3082, 10.1038/nclimate3082]
Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
Dussin R, 2019, DEEP-SEA RES PT II, V169, DOI 10.1016/j.dsr2.2019.05.013
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
García FC, 2015, ENVIRON MICROBIOL, V17, P4133, DOI 10.1111/1462-2920.12984
GARRISON D L, 1979, Journal of Plankton Research, V1, P241, DOI 10.1093/plankt/1.3.241
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
HAWLEY A, 2017, NAT COMMUN, V8, DOI DOI 10.1038/S31467-017-01376-9
Hernando-Morales V, 2018, MICROB ECOL, V76, P866, DOI 10.1007/s00248-018-1179-z
Imhoff JF, 2018, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02679
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Kudela RM, 2008, OCEANOGRAPHY, V21, P46, DOI 10.5670/oceanog.2008.04
Lambert S, 2019, ISME J, V13, P388, DOI 10.1038/s41396-018-0281-z
Lamont T, 2014, DEEP-SEA RES PT I, V90, P1, DOI 10.1016/j.dsr.2014.03.003
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Martin M., 2011, EMBnet J, V17, P10
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Moir JWB, 2001, CELL MOL LIFE SCI, V58, P215, DOI 10.1007/PL00000849
Murillo AA, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00018
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
NOWINSKI B, 2019, SCI DATA, V6, P1, DOI DOI 10.1038/S31597-019-0132-4
O'Mullan GD, 2005, APPL ENVIRON MICROB, V71, P697, DOI 10.1128/AEM.71.2.697-705.2005
Paerl RW, 2012, ENVIRON MICROBIOL, V14, P580, DOI 10.1111/j.1462-2920.2011.02594.x
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pennington JT, 2000, DEEP-SEA RES PT II, V47, P947, DOI 10.1016/S0967-0645(99)00132-0
Reji L, 2019, ENVIRON MICROBIOL, V21, P4032, DOI 10.1111/1462-2920.14753
Reji L, 2019, ISME J, V13, P1144, DOI 10.1038/s41396-018-0311-x
Rich VI, 2011, ENVIRON MICROBIOL, V13, P116, DOI 10.1111/j.1462-2920.2010.02314.x
Ryan JP, 2017, GEOPHYS RES LETT, V44, P5571, DOI 10.1002/2017GL072637
Schrader G.C., 1981, Seasonal cycles of phytoplankton in relation to the hydrography of Monterey Bay, P81
Skogsberg T., 1936, T AM PHILOS SOC, V29, P1, DOI [10.2307/1005510, DOI 10.2307/1005510]
Smith JM, 2014, ISME J, V8, P1704, DOI 10.1038/ismej.2014.11
Snyder MA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017647
Soupene E, 2002, P NATL ACAD SCI USA, V99, P3926, DOI 10.1073/pnas.062043799
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Swan BK, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095380
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Thornton DCO, 2014, EUR J PHYCOL, V49, P20, DOI 10.1080/09670262.2013.875596
Tolar BB, 2020, LIMNOL OCEANOGR, V65, P2041, DOI 10.1002/lno.11436
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Villarreal-Chiu JF, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00019
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Xiu P, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-21247-7
NR 73
TC 19
Z9 20
PD MAY 25
PY 2020
VL 11
AR 1075
DI 10.3389/fmicb.2020.01075
UT WOS:000540565100001
DA 2025-07-30
ER
PT J
AU Thingstad, TF
Ovreås, L
Vadstein, O
AF Thingstad, Tron Frede
Ovreas, Lise
Vadstein, Olav
TI Mechanisms Generating Dichotomies in the Life Strategies of
Heterotrophic Marine Prokaryotes
SO DIVERSITY-BASEL
DT Article
AB Understanding the mechanisms that generate and maintain diversity in marine prokaryotic communities is one of the main challenges for contemporary marine microbiology. We here review how observational, experimental, and theoretical evidence converge on the conclusion that the marine pelagic community of heterotrophic prokaryotes consists of organisms with two main types of life strategies. We illustrate this dichotomy by SAR11 and Vibrio spp. as typical representatives of the two strategies. A theory for life strategy dichotomy exists in classical r/K-selection. We here discuss an additional dichotomy introduced by what we term S/L-selection (for Small and Large, respectively). While r/K-selection focuses on the role of environmental disturbances, steady-state models suggest that high abundance at species level should be closely related to a low trade-off between competition and defense. We summarize literature indicating that the high availability of organic C is an essential environmental factor favoring Vibrio spp. and suggest that the essence of the generalized L-strategy is to reduce the competition-predator defense trade-off by using non-limiting organic C to increase size. The "streamlining" theory that has been suggested for the S-strategist SAR11 proposes the opposite: that low trade-off is achieved by a reduction in size. We show how this apparent contradiction disappears when the basic assumptions of diffusion-limited uptake are considered. We propose a classification scheme that combines S/L and r/K-selection using the two dimensions of organic C availability and environmental disturbance. As organic C in terrestrial runoff and size of the oligotrophic oceanic gyres are both changing, habitat size for both S- and L-strategists are affected by global change. A theory capturing the main aspects of prokaryote life strategies is therefore crucial for predicting responses of the marine microbial food web to climate change and other anthropogenic influences.
C1 [Thingstad, Tron Frede; Ovreas, Lise] Univ Bergen, Dept Biol Sci, N-5007 Bergen, Norway.
[Vadstein, Olav] NTNU Norwegian Univ Sci & Technol, Dept Biotechnol & Food Sci, N-7491 Trondheim, Norway.
RP Thingstad, TF (corresponding author), Univ Bergen, Dept Biol Sci, N-5007 Bergen, Norway.
EM frede.thingstad@uib.no; lise.ovreas@uib.no; olav.vadstein@ntnu.no
CR Adiba S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011882
Anderson R, 2011, AQUAT MICROB ECOL, V64, P105, DOI 10.3354/ame01518
Andersson A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26422-4
ANDREWS JH, 1986, ADV MICROB ECOL, V9, P99
Avci B, 2020, ISME J, V14, P1369, DOI 10.1038/s41396-020-0601-y
Baker-Austin C, 2013, NAT CLIM CHANGE, V3, P73, DOI [10.1038/nclimate1628, 10.1038/NCLIMATE1628]
Bergh O, 2007, DIS AQUAT ORGAN, V75, P159, DOI 10.3354/dao075159
Bourassa L, 2009, MOL MICROBIOL, V72, P124, DOI 10.1111/j.1365-2958.2009.06629.x
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Cavicchioli R, 2019, NAT REV MICROBIOL, V17, P569, DOI 10.1038/s41579-019-0222-5
Colwell RR, 1996, SCIENCE, V274, P2025, DOI 10.1126/science.274.5295.2025
De Schryver P, 2014, PLOS PATHOG, V10, DOI 10.1371/journal.ppat.1003919
Delpech LM, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.614634
Djaoudi K, 2020, BIOGEOSCIENCES, V17, P6271, DOI 10.5194/bg-17-6271-2020
EAGON RG, 1962, J BACTERIOL, V83, P736, DOI 10.1128/JB.83.4.736-737.1962
Eguíluz VM, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-54936-y
Erken M, 2013, MICROB ECOL, V65, P860, DOI 10.1007/s00248-013-0189-0
Frans I, 2011, J FISH DIS, V34, P643, DOI 10.1111/j.1365-2761.2011.01279.x
Giovannoni S, 2014, FEBS J, V281, P44
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Herut B, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00226
Hilbi H, 2007, ENVIRON MICROBIOL, V9, P563, DOI 10.1111/j.1462-2920.2007.01238.x
Hoffmann K, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00266
HUQ A, 1983, APPL ENVIRON MICROB, V45, P275, DOI 10.1128/AEM.45.1.275-283.1983
James BW, 1999, APPL ENVIRON MICROB, V65, P822
Joint I, 2002, AQUAT MICROB ECOL, V29, P145, DOI 10.3354/ame029145
Jones MK, 2009, INFECT IMMUN, V77, P1723, DOI 10.1128/IAI.01046-08
Jumars Peter A., 1993, Marine Microbial Food Webs, V7, P121
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Jürgens K, 1999, APPL ENVIRON MICROB, V65, P1241
Kumar TS, 2017, AQUACULTURE, V479, P759, DOI 10.1016/j.aquaculture.2017.07.022
LANCELOT C, 1987, AMBIO, V16, P38
LAPOTA D, 1988, J EXP MAR BIOL ECOL, V119, P55, DOI 10.1016/0022-0981(88)90152-9
Larsen A, 2015, LIMNOL OCEANOGR, V60, P360, DOI 10.1002/lno.10025
LARSEN JL, 1982, ZBL BAKT MIK HYG I C, V3, P519
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
Matz C, 2003, MICROB ECOL, V45, P384, DOI 10.1007/s00248-003-2000-0
Matz C, 2002, AQUAT MICROB ECOL, V27, P137, DOI 10.3354/ame027137
Matz C, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002744
Miyazaki M., 2014, The Prokaryotes: Gammaproteobacteria, P583, DOI [10.1007/978-3-642-38922-1_228, DOI 10.1007/978-3-642-38922-1_228]
Mojica KDA, 2020, MICROB ECOL, V79, P213, DOI 10.1007/s00248-019-01393-9
Moland E., 2021, FAFO RAPPORT
Montánchez I, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-36483-0
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Neogi SB, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-018-6925-7
Norwegian Institute of Public Health, BAKT SJOV KAN GI INF
Olafsen JA, 2001, AQUACULTURE, V200, P223, DOI 10.1016/S0044-8486(01)00702-5
Olsen LM, 2002, MICROBIAL ECOL, V43, P353, DOI 10.1007/s00248-002-2009-9
Olsen Y, 2011, MAR ECOL PROG SER, V436, P81, DOI 10.3354/meps09258
Ovreås L, 2003, AQUAT MICROB ECOL, V31, P109, DOI 10.3354/ame031109
Paulsen ML, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00176
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
PENGERUD B, 1987, MAR ECOL PROG SER, V35, P111, DOI 10.3354/meps035111
Polovina JJ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL031745
PREISS J, 1989, ADV MICROB PHYSIOL, V30, P183
Raszl SM, 2016, J APPL MICROBIOL, V121, P1201, DOI 10.1111/jam.13246
Rivkin RB, 1997, LIMNOL OCEANOGR, V42, P730, DOI 10.4319/lo.1997.42.4.0730
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Shannon SP, 2007, MICROB ECOL, V53, P66, DOI 10.1007/s00248-006-9140-y
STACHOWITSCH M, 1990, PSZNI MAR ECOL, V11, P327, DOI 10.1111/j.1439-0485.1990.tb00387.x
Su YC, 2007, FOOD MICROBIOL, V24, P549, DOI 10.1016/j.fm.2007.01.005
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tagomori K, 2002, J BACTERIOL, V184, P4351, DOI 10.1128/JB.184.16.4351-4358.2002
Takemura AE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00038
Thingstad TF, 2008, NATURE, V455, P387, DOI 10.1038/nature07235
Thingstad TF, 2007, J MARINE SYST, V64, P15, DOI 10.1016/j.jmarsys.2006.02.009
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 2005, ECOL LETT, V8, P675, DOI 10.1111/j.1461-0248.2005.00768.x
THINGSTAD TF, 1993, MAR ECOL PROG SER, V99, P239, DOI 10.3354/meps099239
Thingstad TF, 1997, LIMNOL OCEANOGR, V42, P398, DOI 10.4319/lo.1997.42.2.0398
Tsagaraki TM, 2018, ISME J, V12, P2694, DOI 10.1038/s41396-018-0217-7
VADSTEIN O, 1993, FISH FARMING TECHNOLOGY, P69
VADSTEIN O, 1988, LIMNOL OCEANOGR, V33, P489, DOI 10.4319/lo.1988.33.4.0489
Vadstein O, 2000, ADV MICROB ECOL, V16, P115
Vadstein O, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02730
Vadstein O, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01820
Van Wambeke F, 2011, BIOGEOSCIENCES, V8, P1853, DOI 10.5194/bg-8-1853-2011
Vezzulli L, 2016, P NATL ACAD SCI USA, V113, pE5062, DOI 10.1073/pnas.1609157113
Vezzulli L, 2015, ENVIRON MICROBIOL, V17, P1065, DOI 10.1111/1462-2920.12484
Vezzulli L, 2012, ISME J, V6, P21, DOI 10.1038/ismej.2011.89
Westoby M, 2021, ECOL EVOL, V11, P3956, DOI 10.1002/ece3.7290
Westrich JR, 2016, P NATL ACAD SCI USA, V113, P5964, DOI 10.1073/pnas.1518080113
Wexler HM, 2007, CLIN MICROBIOL REV, V20, P593, DOI 10.1128/CMR.00008-07
WILKINSON JF, 1963, J GEN MICROBIOL, V32, P171, DOI 10.1099/00221287-32-2-171
Wong YY, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz176
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zhang RF, 2019, EARTH PLANET SC LETT, V516, P148, DOI 10.1016/j.epsl.2019.04.002
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zohary T, 1998, LIMNOL OCEANOGR, V43, P387, DOI 10.4319/lo.1998.43.3.0387
NR 92
TC 6
Z9 7
PD MAR
PY 2022
VL 14
IS 3
AR 217
DI 10.3390/d14030217
UT WOS:000775751900001
DA 2025-07-30
ER
PT J
AU Focardi, A
Moore, LR
Raina, JB
Seymour, JR
Paulsen, IT
Tetu, SG
AF Focardi, Amaranta
Moore, Lisa R.
Raina, Jean-Baptiste
Seymour, Justin R.
Paulsen, Ian T.
Tetu, Sasha G.
TI Plastic leachates impair picophytoplankton and dramatically reshape the
marine microbiome
SO MICROBIOME
DT Article
AB Background: Each year, approximately 9.5 million metric tons of plastic waste enter the ocean with the potential to adversely impact all trophic levels. Until now, our understanding of the impact of plastic pollution on marine microorganisms has been largely restricted to the microbial assemblages that colonize plastic particles. However, plastic debris also leaches considerable amounts of chemical additives into the water, and this has the potential to impact key groups of planktonic marine microbes, not just those organisms attached to plastic surfaces.
Results: To investigate this, we explored the population and genetic level responses of a marine microbial community following exposure to leachate from a common plastic (polyvinyl chloride) or zinc, a specific plastic additive. Both the full mix of substances leached from polyvinyl chloride (PVC) and zinc alone had profound impacts on the taxonomic and functional diversity of our natural planktonic community. Microbial primary producers, both prokaryotic and eukaryotic, which comprise the base of the marine food web, were strongly impaired by exposure to plastic leachates, showing significant declines in photosynthetic efficiency, diversity, and abundance. Key heterotrophic taxa, such as SAR11, which are the most abundant planktonic organisms in the ocean, also exhibited significant declines in relative abundance when exposed to higher levels of PVC leachate. In contrast, many copiotrophic bacteria, including members of the Alteromonadales, dramatically increased in relative abundance under both exposure treatments. Moreover, functional gene and genome analyses, derived from metagenomes, revealed that PVC leachate exposure selects for fast-adapting, motile organisms, along with enrichment in genes usually associated with pathogenicity and an increased capacity to metabolize organic compounds leached from PVC.
Conclusions: This study shows that substances leached from plastics can restructure marine microbial communities with the potential for significant impacts on trophodynamics and biogeochemical cycling. These findings substantially expand our understanding of the ways by which plastic pollution impact life in our oceans, knowledge which is particularly important given that the burden of plastic pollution in the marine environment is predicted to continue to rise.
C1 [Focardi, Amaranta; Raina, Jean-Baptiste; Seymour, Justin R.] Univ Technol Sydney, Climate Change Cluster C3, Sydney, NSW, Australia.
[Moore, Lisa R.; Paulsen, Ian T.; Tetu, Sasha G.] Macquarie Univ, Sch Nat Sci, Sydney, NSW, Australia.
[Paulsen, Ian T.; Tetu, Sasha G.] Macquarie Univ, ARC Ctr Excellence Synthet Biol, Sydney, NSW, Australia.
RP Focardi, A (corresponding author), Univ Technol Sydney, Climate Change Cluster C3, Sydney, NSW, Australia.; Tetu, SG (corresponding author), Macquarie Univ, Sch Nat Sci, Sydney, NSW, Australia.; Tetu, SG (corresponding author), Macquarie Univ, ARC Ctr Excellence Synthet Biol, Sydney, NSW, Australia.
EM amaranta.focardi@uts.edu.au; sasha.tetu@mq.edu.au
CR Agis M, 2007, J EXP MAR BIOL ECOL, V341, P176, DOI 10.1016/j.jembe.2006.09.002
Ahmad F, 2020, ENVIRON SCI EUR, V32, DOI 10.1186/s12302-020-00329-2
Ajani P, 2017, MAR DRUGS, V15, DOI 10.3390/md15020033
Amaral-Zettler LA, 2020, NAT REV MICROBIOL, V18, P139, DOI 10.1038/s41579-019-0308-0
Apple JK, 2011, APPL ENVIRON MICROB, V77, P3074, DOI 10.1128/AEM.02241-10
Avio CG, 2017, MAR ENVIRON RES, V128, P2, DOI 10.1016/j.marenvres.2016.05.012
Barnes DKA, 2009, PHILOS T R SOC B, V364, P1985, DOI 10.1098/rstb.2008.0205
Bhagwat G, 2021, ENVIRON SCI TECHNOL, V55, P4899, DOI 10.1021/acs.est.0c07952
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Borrelle SB, 2020, SCIENCE, V369, P1515, DOI 10.1126/science.aba3656
Brown MV, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.130
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Capolupo M, 2020, WATER RES, V169, DOI 10.1016/j.watres.2019.115270
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Casabianca S, 2019, ENVIRON POLLUT, V244, P617, DOI 10.1016/j.envpol.2018.09.110
Cassier-Chauvat C, 2015, INT J MOL SCI, V16, P871, DOI 10.3390/ijms16010871
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Chronopoulou PM, 2015, MICROB BIOTECHNOL, V8, P434, DOI 10.1111/1751-7915.12176
Cózar A, 2014, P NATL ACAD SCI USA, V111, P10239, DOI 10.1073/pnas.1314705111
De Frond HL, 2019, INTEGR ENVIRON ASSES, V15, P596, DOI 10.1002/ieam.4147
De Tender C, 2017, ANAL METHODS-UK, V9, P2132, DOI 10.1039/c7ay00260b
Debroas D, 2017, SCI TOTAL ENVIRON, V599, P1222, DOI 10.1016/j.scitotenv.2017.05.059
Del Vento S, 2002, ENVIRON TOXICOL CHEM, V21, P2099, DOI 10.1002/etc.5620211013
Delacuvellerie A, 2019, J HAZARD MATER, V380, DOI 10.1016/j.jhazmat.2019.120899
El-Agawany NI, 2023, ENVIRON SCI POLLUT R, V30, P71900, DOI 10.1007/s11356-022-20536-z
Endo R, 2007, J BACTERIOL, V189, P3712, DOI 10.1128/JB.01883-06
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Eriksen M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111913
FERGUSON RL, 1984, APPL ENVIRON MICROB, V47, P49, DOI 10.1128/AEM.47.1.49-55.1984
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Gallo F, 2018, ENVIRON SCI EUR, V30, DOI 10.1186/s12302-018-0139-z
Gao ML, 2019, ENVIRON POLLUT, V250, P357, DOI 10.1016/j.envpol.2019.04.022
Garczarek L, 2021, NUCLEIC ACIDS RES, V49, pD667, DOI 10.1093/nar/gkaa958
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gu SR, 2017, AQUAT TOXICOL, V191, P122, DOI 10.1016/j.aquatox.2017.08.007
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Gunaalan K, 2020, WATER RES, V184, DOI 10.1016/j.watres.2020.116170
Hahladakis JN, 2018, J HAZARD MATER, V344, P179, DOI 10.1016/j.jhazmat.2017.10.014
Hall JL, 2002, J EXP BOT, V53, P1, DOI 10.1093/jexbot/53.366.1
Hallegraeff G, 2020, AUST SYST BOT, V33, P392, DOI 10.1071/SB19043
Hermabessiere L, 2017, CHEMOSPHERE, V182, P781, DOI 10.1016/j.chemosphere.2017.05.096
Huerta-Cepas J, 2019, NUCLEIC ACIDS RES, V47, pD309, DOI 10.1093/nar/gky1085
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iwaki H, 2012, WORLD J MICROB BIOT, V28, P1321, DOI 10.1007/s11274-011-0925-x
Jacquin J, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00865
Jambeck JR, 2015, SCIENCE, V347, P768, DOI 10.1126/science.1260352
JEFFREY SW, 1975, BIOCHEM PHYSIOL PFL, V167, P191, DOI 10.1016/s0015-3796(17)30778-3
Jose Huertas Maria, 2014, Life-Basel, V4, P865, DOI 10.3390/life4040865
Kang DWD, 2019, PEERJ, V7, DOI 10.7717/peerj.7359
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Lamb JB, 2018, SCIENCE, V359, P460, DOI 10.1126/science.aar3320
Lau WWY, 2020, SCIENCE, V369, P1455, DOI 10.1126/science.aba9475
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lebreton L, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22939-w
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Li ZC, 2020, ENVIRON POLLUT, V257, DOI 10.1016/j.envpol.2019.113604
Lithner D, 2012, ENVIRON SCI POLLUT R, V19, P1763, DOI 10.1007/s11356-011-0663-5
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Luo HW, 2019, SCI TOTAL ENVIRON, V678, P1, DOI 10.1016/j.scitotenv.2019.04.401
Martin M., 2011, EMBnet J, V17, P10
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Messer LF, 2020, GLOBAL CHANGE BIOL, V26, P5613, DOI 10.1111/gcb.15257
Mojica KDA, 2016, ISME J, V10, P500, DOI 10.1038/ismej.2015.130
MOREL FMM, 1994, NATURE, V369, P740, DOI 10.1038/369740a0
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Ogonowski M, 2018, ENVIRON MICROBIOL, V20, P2796, DOI 10.1111/1462-2920.14120
Oksanen, 2022, VEGAN COMMUNITY ECOL
Oliviero M, 2019, ENVIRON POLLUT, V247, P706, DOI 10.1016/j.envpol.2019.01.098
Pandey G, 2002, APPL ENVIRON MICROB, V68, P5789, DOI 10.1128/AEM.68.12.5789-5795.2002
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pflieger M, 2017, JOVE-J VIS EXP, DOI 10.3791/55531
Prata JC, 2019, SCI TOTAL ENVIRON, V665, P400, DOI 10.1016/j.scitotenv.2019.02.132
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2022, R LANG ENV STAT COMP
Ramseier MK, 2011, WATER RES, V45, P1490, DOI 10.1016/j.watres.2010.11.016
Rippka R, 2000, INT J SYST EVOL MICR, V50, P1833, DOI 10.1099/00207713-50-5-1833
Robinson C, 2014, J MARINE SYST, V139, P299, DOI 10.1016/j.jmarsys.2014.07.016
Romera-Castillo C, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.861557
Romera-Castillo C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03798-5
Rummel CD, 2022, ANAL BIOANAL CHEM, V414, P1469, DOI 10.1007/s00216-021-03798-3
Sarker Indrani, 2021, Microbiology, V167, P001064, DOI 10.1099/mic.0.001064
Sarker I, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.571929
Simon M, 2017, ISME J, V11, P1483, DOI 10.1038/ismej.2016.198
Suggett DJ, 2009, MAR ECOL PROG SER, V376, P1, DOI 10.3354/meps07830
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tetu SG, 2020, COMMUN BIOL, V3, DOI 10.1038/s42003-020-0789-4
Tetu SG, 2019, COMMUN BIOL, V2, DOI 10.1038/s42003-019-0410-x
Turner A, 2021, ENVIRON SCI-PROC IMP, V23, P1376, DOI 10.1039/d1em00213a
van Sebille E, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124006
Vejarano F, 2019, MICROBIOL RESOUR ANN, V8, DOI 10.1128/MRA.00231-19
Wang S, 2020, ECOTOX ENVIRON SAFE, V203, DOI 10.1016/j.ecoenv.2020.111000
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
Wiesinger H, 2021, ENVIRON SCI TECHNOL, V55, P9339, DOI 10.1021/acs.est.1c00976
Wright RJ, 2020, ENVIRON SCI TECHNOL, V54, P11657, DOI 10.1021/acs.est.0c02305
Wright RJ, 2020, ENVIRON SCI TECHNOL, V54, P2244, DOI 10.1021/acs.est.9b05228
Xu XJ, 2021, FRONT CELL INFECT MI, V10, DOI 10.3389/fcimb.2020.591751
Zettler ER, 2013, ENVIRON SCI TECHNOL, V47, P7137, DOI 10.1021/es401288x
Zhang WP, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00522
Zhou T, 2018, BIORESOURCE TECHNOL, V269, P285, DOI 10.1016/j.biortech.2018.08.131
Zhu LX, 2020, J HAZARD MATER, V383, DOI 10.1016/j.jhazmat.2019.121065
NR 104
TC 25
Z9 28
PD OCT 24
PY 2022
VL 10
IS 1
AR 179
DI 10.1186/s40168-022-01369-x
UT WOS:000873827400001
DA 2025-07-30
ER
PT J
AU Aldunate, M
De la Iglesia, R
Bertagnolli, AD
Ulloa, O
AF Aldunate, Montserrat
De la Iglesia, Rodrigo
Bertagnolli, Anthony D.
Ulloa, Osvaldo
TI Oxygen modulates bacterial community composition in the coastal
upwelling waters off central Chile
SO DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
DT Article; Proceedings Paper
CT International Symposium on Microbial Responses to Ocean Deoxygenation
CY DEC, 2016
CL Natl Inst Oceanog, Council Sci & Ind Res, INDIA
HO Natl Inst Oceanog, Council Sci & Ind Res
AB Bacterial community composition and its relationship to oxygen were investigated in the non-sulfidic shelf waters exposed to seasonal upwelling and oxygen deficiency off central Chile. Using 16S rRNA gene clone libraries, terminal restriction fragment length polymorphism (T-RFLP) and iTAG sequencing analyses of nearly 4 years of monthly sampling through the water column (5-80 m depth), we found a clear partitioning of community composition that could be attributed to dissolved oxygen (Spearman correlation coefficient = 0.578) in comparison to other environmental variables, such as light, fluorescence, temperature, salinity, microbial abundance or nutrients. Bacteroidetes (orders Sphingobacteriales and Flavobacteriales), SAR11 (subclades Ia - Candidatus Pelagibacter ubique and II), an unclassified group of Alphaproteobacteria, and SAR86 dominated in waters containing dissolved oxygen concentrations >= 70 mu M. In contrast, taxonomic groups associated with capabilities of either oxidative or reductive cycling of inorganic sulfur dominated in waters with dissolved oxygen from similar to 70 mu M to undetectable levels. The dominant groups were Arctic96BD-19, SUP05 and SAR324 (sulfur oxidation) and Desulfobacterales (sulfate reduction). Desulfobacterales are known to come primarily from sulfidic, nitrate/nitrite-depleted waters and sediments. Their presence, therefore, provides taxonomic evidence for pelagic dissimilatory sulfate reduction within oxygen-depleted coastal environments.
C1 [Aldunate, Montserrat; Bertagnolli, Anthony D.; Ulloa, Osvaldo] Univ Concepcion, Dept Oceanog, Casilla 160-C, Concepcion 4070386, Chile.
[Aldunate, Montserrat; Bertagnolli, Anthony D.; Ulloa, Osvaldo] Univ Concepcion, Inst Milenio Oceanog, Casilla 160-C, Concepcion 4070386, Chile.
[Aldunate, Montserrat] Univ Concepcion, Programas Postgrado Oceanog, Casilla 160-C, Concepcion 4070386, Chile.
[De la Iglesia, Rodrigo] Pontificia Univ Catolica Chile, Dept Mol Genet & Microbiol, Ave Libertador Gen Bernardo OHiggins 340, Santiago 8331150, Chile.
[Bertagnolli, Anthony D.] Georgia Inst Technol, Sch Biol Sci, Ford Environm Sci & Technol, 311 Ferst Dr, Atlanta, GA 30308 USA.
RP Ulloa, O (corresponding author), Univ Concepcion, Dept Oceanog, Casilla 160-C, Concepcion 4070386, Chile.; Ulloa, O (corresponding author), Univ Concepcion, Inst Milenio Oceanog, Casilla 160-C, Concepcion 4070386, Chile.
EM oulloa@udec.cl
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Benson DA, 2005, NUCLEIC ACIDS RES, V33, pD34, DOI 10.1093/nar/gku1216
Bertagnolli AD, 2011, AQUAT MICROB ECOL, V64, P15, DOI 10.3354/ame01504
Bokulich NA, 2013, NAT METHODS, V10, P57, DOI [10.1038/NMETH.2276, 10.1038/nmeth.2276]
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A, 2009, APPL ENVIRON MICROB, V75, P7542, DOI 10.1128/AEM.00814-09
Canfield DE, 2009, GEOBIOLOGY, V7, P385, DOI 10.1111/j.1472-4669.2009.00214.x
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Collado-Fabbri S, 2011, LIMNOL OCEANOGR, V56, P2334, DOI 10.4319/lo.2011.56.6.2334
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Diaz RJ, 2008, SCIENCE, V321, P926, DOI 10.1126/science.1156401
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galán A, 2014, LIMNOL OCEANOGR, V59, P1865, DOI 10.4319/lo.2014.59.6.1865
Galán A, 2012, PROG OCEANOGR, V92-95, P110, DOI 10.1016/j.pocean.2011.07.007
Galán A, 2009, DEEP-SEA RES PT II, V56, P1125, DOI 10.1016/j.dsr2.2008.09.016
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GOWER JC, 1975, PSYCHOMETRIKA, V40, P33, DOI 10.1007/BF02291478
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Kang I, 2011, J BACTERIOL, V193, P319, DOI 10.1128/JB.01268-10
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Koroleff F, 1983, METHODS SEAWATER ANA, V2, P125
Labrenz M, 2007, AQUAT MICROB ECOL, V46, P177, DOI 10.3354/ame046177
Lam P, 2011, ANNU REV MAR SCI, V3, P317, DOI 10.1146/annurev-marine-120709-142814
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
Leloup J, 2009, ENVIRON MICROBIOL, V11, P1278, DOI 10.1111/j.1462-2920.2008.01855.x
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Montero P, 2007, PROG OCEANOGR, V75, P518, DOI 10.1016/j.pocean.2007.08.013
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Murillo A.A., 2014, Frontiers in Marine Science, V1, P1, DOI DOI 10.3389/FMARS.2014.00018
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Ramette A, 2007, FEMS MICROBIOL ECOL, V62, P142, DOI 10.1111/j.1574-6941.2007.00375.x
Ramírez-Flandes S, 2008, BIOINFORMATICS, V24, P2539, DOI 10.1093/bioinformatics/btn466
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Shah V, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.01156-15
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Sobarzo M, 2007, PROG OCEANOGR, V75, P363, DOI 10.1016/j.pocean.2007.08.022
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Strickland J.D.H., 1972, Bull. Fish. Res. Bd. Canada, V167, P310, DOI DOI 10.25607/OBP-1791
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
van Dorst J, 2014, FEMS MICROBIOL ECOL, V89, P316, DOI 10.1111/1574-6941.12308
Vargas CA, 2007, LIMNOL OCEANOGR, V52, P1495, DOI 10.4319/lo.2007.52.4.1495
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Zaikova E, 2010, ENVIRON MICROBIOL, V12, P172, DOI 10.1111/j.1462-2920.2009.02058.x
NR 65
TC 73
Z9 74
PD OCT
PY 2018
VL 156
SI SI
BP 68
EP 79
DI 10.1016/j.dsr2.2018.02.001
UT WOS:000454184300009
DA 2025-07-30
ER
PT J
AU Meziti, A
Kormas, KA
Moustaka-Gouni, M
Karayanni, H
AF Meziti, Alexandra
Kormas, Konstantinos A.
Moustaka-Gouni, Maria
Karayanni, Hera
TI Spatially uniform but temporally variable bacterioplankton in a
semi-enclosed coastal area
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB Studies focusing on the temporal and spatial dynamics of bacterioplankton communities within littoral areas undergoing direct influences from the coast are quite limited. In addition, they are more complicated to resolve compared to communities in the open ocean. In order to elucidate the effects of spatial vs. temporal variability on bacterial communities in a highly land-influenced semi-enclosed gulf, surface bacterioplankton communities from five coastal sites in Igoumenitsa Gulf (Ionian Sea, Greece) were analyzed over a nine-month period using 16S rDNA 454-pyrosequencing. Temporal differences were more pronounced than spatial ones, with lower diversity indices observed during the summer months. During winter and early spring, bacterial communities were dominated by SARI 1 representatives, while this pattern changed in May when they were abruptly replaced by members of Flavobacteriales, Pseudomonadales, and Alteromonadales. Additionally, correlation analysis showed high negative correlations between the presence of SAR11 OTUs in relation to temperature and sunlight that might have driven, directly or indirectly, the disappearance of these OTUs in the summer months. The dominance of SARI 1 during the winter months further supported the global distribution of the clade, not only in the open-sea, but also in coastal systems. This study revealed that specific bacteria exhibited distinct succession patterns in an anthropogenic-impacted coastal system. The major bacterioplankton component was represented by commonly found marine bacteria exhibiting seasonal dynamics, while freshwater and terrestrial-related phylotypes were absent. (C) 2015 Elsevier GmbH. All rights reserved.
C1 [Meziti, Alexandra; Karayanni, Hera] Univ Ioannina, Dept Biol Applicat & Technol, GR-45110 Ioannina, Greece.
[Kormas, Konstantinos A.] Univ Thessaly, Dept Ichthyol & Aquat Environm, Volos 38446, Greece.
[Moustaka-Gouni, Maria] Aristotle Univ Thessaloniki, Sch Biol, Dept Bot, Thessaloniki 54124, Greece.
RP Karayanni, H (corresponding author), Univ Ioannina, Dept Biol Applicat & Technol, GR-45110 Ioannina, Greece.
EM hkaray@cc.uoi.gr
CR Aguiló-Ferretjans MM, 2008, SYST APPL MICROBIOL, V31, P231, DOI 10.1016/j.syapm.2008.04.003
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Bowman JP, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 6, THIRD EDITION, P920, DOI 10.1007/0-387-30746-x_35
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
CLARKE KR, 1988, MAR ECOL PROG SER, V46, P213, DOI 10.3354/meps046213
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Economou V, 2013, INT J HYG ENVIR HEAL, V216, P435, DOI 10.1016/j.ijheh.2012.07.004
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Fodelianakis S, 2014, APPL ENVIRON MICROB, V80, P3784, DOI 10.1128/AEM.00088-14
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Jones KL, 2010, FEMS MICROBIOL ECOL, V73, P468, DOI 10.1111/j.1574-6941.2010.00914.x
King GM, 2013, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00438
Konopka A, 2009, ISME J, V3, P1223, DOI 10.1038/ismej.2009.88
KRUSKAL JB, 1964, PSYCHOMETRIKA, V29, P1, DOI 10.1007/BF02289565
Kunin V, 2010, ENVIRON MICROBIOL, V12, P118, DOI 10.1111/j.1462-2920.2009.02051.x
Lelekis J, 2001, PROCEEDINGS OF THE 7TH INTERNATIOANL CONFERENCE ON ENVIRONMENTAL SCIENCE AND TECHNOLOGY, VOL C, POSTERS, P251
LEVINS RICHARD, 1968
Loreau M, 2001, SCIENCE, V294, P804, DOI 10.1126/science.1064088
Mayali X, 2011, AQUAT MICROB ECOL, V63, P111, DOI 10.3354/ame01483
MUYZER G, 1995, ARCH MICROBIOL, V164, P165, DOI 10.1007/BF02529967
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Nemergut DR, 2013, MICROBIOL MOL BIOL R, V77, P342, DOI 10.1128/MMBR.00051-12
Parsons T.R., 1984, MANUAL CHEM BIOL MET, P174
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Qian PY, 2011, ISME J, V5, P507, DOI 10.1038/ismej.2010.112
Quero GM, 2014, MAR GENOM, V17, P9, DOI 10.1016/j.margen.2014.04.002
Ramette A, 2007, FEMS MICROBIOL ECOL, V62, P142, DOI 10.1111/j.1574-6941.2007.00375.x
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shokralla S, 2012, MOL ECOL, V21, P1794, DOI 10.1111/j.1365-294X.2012.05538.x
Smoot ME, 2011, BIOINFORMATICS, V27, P431, DOI 10.1093/bioinformatics/btq675
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Sylaios G, 2002, WATER RESOUR MANAG, V16, P171, DOI 10.1023/A:1020278003138
Székely AJ, 2014, FEMS MICROBIOL ECOL, V87, P102, DOI 10.1111/1574-6941.12195
Tada Y, 2012, J OCEANOGR, V68, P509, DOI 10.1007/s10872-012-0114-z
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Takemura AE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00038
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
Zeng YX, 2014, ARCH MICROBIOL, V196, P137, DOI 10.1007/s00203-013-0950-2
NR 53
TC 26
Z9 30
PD JUL
PY 2015
VL 38
IS 5
BP 358
EP 367
DI 10.1016/j.syapm.2015.04.003
UT WOS:000359613800010
DA 2025-07-30
ER
PT J
AU Luo, HW
Hughes, AL
AF Luo, Haiwei
Hughes, Austin L.
TI dN/dS does not show positive
selection drives separation of polar-tropical SAR11 populations
SO MOLECULAR SYSTEMS BIOLOGY
DT Letter
C1 [Luo, Haiwei] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Hughes, Austin L.] Univ S Carolina, Dept Biol Sci, Columbia, SC 29208 USA.
RP Luo, HW (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
CR Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
HUGHES AL, 1988, NATURE, V335, P167, DOI 10.1038/335167a0
Hughes AL, 1999, ADAPTIVE EVOULUTION
NEI M, 1986, MOL BIOL EVOL, V3, P418
Ochman H, 1999, P NATL ACAD SCI USA, V96, P12638, DOI 10.1073/pnas.96.22.12638
Parmley JL, 2007, J MOL EVOL, V64, P646, DOI 10.1007/s00239-006-0207-7
Yang ZH, 2000, MOL BIOL EVOL, V17, P32, DOI 10.1093/oxfordjournals.molbev.a026236
Yang ZH, 1997, COMPUT APPL BIOSCI, V13, P555
Zhang Zhang, 2006, Genomics Proteomics & Bioinformatics, V4, P259, DOI 10.1016/S1672-0229(07)60007-2
NR 9
TC 8
Z9 8
PD NOV
PY 2012
VL 8
AR 625
DI 10.1038/msb.2012.58
UT WOS:000311850500006
DA 2025-07-30
ER
PT J
AU Suh, SS
Park, M
Hwang, J
Kil, EJ
Jung, SW
Lee, S
Lee, TK
AF Suh, Sung-Suk
Park, Mirye
Hwang, Jinik
Kil, Eui-Joon
Jung, Seung Won
Lee, Sukchan
Lee, Taek-Kyun
TI Seasonal Dynamics of Marine Microbial Community in the South Sea of
Korea
SO PLOS ONE
DT Article
AB High-resolution 16S rRNA tag pyrosequencing was used to obtain seasonal snapshots of the bacterial diversity and community structure at two locations in Gosung Bay (South Sea, Korea) over a one year period. Seasonal sampling from the water column at each site revealed highly diverse bacterial communities containing up to 900 estimated Operational Taxonomic Units (OTUs). The Alphaproteobacteria and Gammaproteobacteria were the most abundant groups, and the most frequently recorded OTUs were members of Pelagibacter and Glaciecola. In particular, it was observed that Arcobacter, a genus of the Epsilonproteobacteria, dominated during summer. In addition, Psedoalteromonadaceae, Vibrionaceae and SAR11-1 were predominant members of the OTUs found in all sampling seasons. Environmental factors significantly influenced the bacterial community structure among season, with the phosphate and nitrate concentrations contributing strongly to the spatial distribution of the Alphaproteobacteria; the Gammaproteobacteria, Flavobacteria, and Actinobacteria all showed marked negative correlations with all measured nutrients, particularly silicon dioxide and chlorophyll-a. The results suggest that seasonal changes in environmental variables contribute to the dynamic structure of the bacterial community in the study area.
C1 [Suh, Sung-Suk; Park, Mirye; Hwang, Jinik; Jung, Seung Won; Lee, Taek-Kyun] Korea Inst Ocean Sci & Technol, South Sea Environm Res Dept, Geoje 656830, South Korea.
[Park, Mirye; Hwang, Jinik; Lee, Taek-Kyun] Korea Univ Sci & Technol, Taejon 305350, South Korea.
[Kil, Eui-Joon; Lee, Sukchan] Sungkyunkwan Univ, Dept Genet Engn, Suwon 440746, South Korea.
RP Lee, TK (corresponding author), Korea Inst Ocean Sci & Technol, South Sea Environm Res Dept, Geoje 656830, South Korea.
EM tklee@kiost.ac
CR Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Caron DA, 2009, BIOSCIENCE, V59, P287, DOI 10.1525/bio.2009.59.4.7
Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
Chong CW, 2012, ANTARCT SCI, V24, P249, DOI 10.1017/S0954102012000028
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Church MJ., 2008, MICROBIAL ECOLOGY OC, P335, DOI DOI 10.1002/9780470281840.CH10
Emami K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038515
Fierer N, 2006, P NATL ACAD SCI USA, V103, P626, DOI 10.1073/pnas.0507535103
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Hamady M, 2010, ISME J, V4, P17, DOI 10.1038/ismej.2009.97
Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
Harvell CD, 1999, SCIENCE, V285, P1505, DOI 10.1126/science.285.5433.1505
Humphrey G, 1997, PHYTOPLANKTON PIGMEN, V10, P616
Johnson CN, 2010, APPL ENVIRON MICROB, V76, P7076, DOI 10.1128/AEM.00697-10
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kim M, 2014, J APPL MICROBIOL, V117, P699, DOI 10.1111/jam.12572
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Lee OO, 2011, ISME J, V5, P650, DOI 10.1038/ismej.2010.165
Lehtoranta J, 2009, AMBIO, V38, P303, DOI 10.1579/09-A-656.1
Lindström ES, 2001, MICROBIAL ECOL, V42, P598, DOI 10.1007/s00248-001-0031-y
Lozupone CA, 2007, APPL ENVIRON MICROB, V73, P1576, DOI 10.1128/AEM.01996-06
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Motes ML, 1998, APPL ENVIRON MICROB, V64, P1459
NEDWELL DB, 1994, APPL ENVIRON MICROB, V60, P1984, DOI 10.1128/AEM.60.6.1984-1992.1994
Nemergut DR, 2011, ENVIRON MICROBIOL, V13, P135, DOI 10.1111/j.1462-2920.2010.02315.x
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Smith VH, 2003, ENVIRON SCI POLLUT R, V10, P126, DOI 10.1065/espr2002.12.142
Sterner R. W., 2002, ECOLOGICAL STOICHIOM
Suh SS, 2014, J MICROBIOL, V52, P834, DOI 10.1007/s12275-014-4287-6
Tinta T, 2015, ENVIRON MICROBIOL, V17, P3581, DOI 10.1111/1462-2920.12519
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
Yi H, 2014, BMC INFECT DIS, V14, DOI 10.1186/s12879-014-0583-3
NR 43
TC 59
Z9 63
PD JUN 29
PY 2015
VL 10
IS 6
AR e0131633
DI 10.1371/journal.pone.0131633
UT WOS:000358150400132
DA 2025-07-30
ER
PT J
AU Cao, SN
He, JF
Zhang, F
Lin, L
Gao, Y
Zhou, QM
AF Cao, Shunan
He, Jianfeng
Zhang, Fang
Lin, Ling
Gao, Yuan
Zhou, Qiming
TI Diversity and community structure of bacterioplankton in surface waters
off the northern tip of the Antarctic Peninsula
SO POLAR RESEARCH
DT Article
AB Global climate change is significantly affecting marine life off the northern tip of the Antarctic Peninsula, but little is known about microbial ecology in this area. The main goal of this study was to investigate the bacterioplankton community structure in surface waters using pyrosequencing and to determine factors influencing this community. Pelagibacterales and Rhodobacterales (Alphaproteobacteria), Oceanospirillales and Alteromonadales (Gammaproteobacteria), and Flavobacteriales (Bacteroidetes) were the core taxa in our samples, and the five most relatively abundant genera were Pelagibacter, Polaribacter, Octadecabacter, group HTCC2207 and Sulfitobacter. Although nutrients and chlorophyll a (chl a) contributed more to bacterioplankton community structure than water masses or depth, only 30.39% of the variance could be explained by the investigated environmental factors, as revealed by RDA and pRDA. No significant difference with respect to nutrients and chl a was observed among water masses or depth, as indicated by ANOVA. Furthermore, significant correlations among the dominant bacterial genera were more common than correlations between dominant genera and environmental factors, as revealed by Spearman analysis. We conclude that nutrients and chl a become homogeneous and that interpopulation interactions may have a central role in influencing the bacterial community structure in surface waters off the northern tip of the Antarctic Peninsula during the summer.
C1 [Cao, Shunan; He, Jianfeng; Zhang, Fang; Lin, Ling; Gao, Yuan] State Ocean Adm, Key Lab Polar Sci, Polar Res Inst China, 451 Jinqiao Rd, Shanghai 200136, Peoples R China.
[Gao, Yuan] Xiamen Univ, Coll Ocean & Earth Sci, Xiamen, Fujian, Peoples R China.
[Zhou, Qiming] Harbin Inst Technol, Sch Life Sci & Technol, Harbin, Heilongjiang, Peoples R China.
[Zhou, Qiming] ChosenMed Technol Beijing Co Ltd, Beijing, Peoples R China.
RP He, JF (corresponding author), State Ocean Adm, Key Lab Polar Sci, Polar Res Inst China, 451 Jinqiao Rd, Shanghai 200136, Peoples R China.
EM hejianfeng@pric.org.cn
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Anisimov OA, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P653
[Anonymous], R PACKAGE VERSION
[Anonymous], MULTIVARIATE ANAL EC
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bowman JS, 2017, ISME J, V11, P1460, DOI 10.1038/ismej.2016.204
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
Cook AJ, 2016, SCIENCE, V353, P283, DOI 10.1126/science.aae0017
Cook AJ, 2010, CRYOSPHERE, V4, P77, DOI 10.5194/tc-4-77-2010
Criscitiello AS, 2013, J GEOPHYS RES-OCEANS, V118, P118, DOI 10.1029/2012JC008077
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
del Valle DA, 2009, LIMNOL OCEANOGR, V54, P785, DOI 10.4319/lo.2009.54.3.0785
Delille D, 2004, CELL MOL BIOL, V50, P543
DELONG EF, 1994, NATURE, V371, P695, DOI 10.1038/371695a0
Dickinson I, 2016, MICROORGANISMS, V4, DOI 10.3390/microorganisms4010008
Dierssen HM, 2002, P NATL ACAD SCI USA, V99, P1790, DOI 10.1073/pnas.032206999
Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Ducklow HW, 2013, OCEANOGRAPHY, V26, P190, DOI 10.5670/oceanog.2013.62
Ducklow HW, 1999, FEMS MICROBIOL ECOL, V30, P1, DOI 10.1111/j.1574-6941.1999.tb00630.x
Galí M, 2018, BIOGEOSCIENCES, V15, P3497, DOI 10.5194/bg-15-3497-2018
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Gordon A.L, 1967, Antarctic Map Folio Series, V6
GORDON AL, 1995, J GEOPHYS RES-OCEANS, V100, P13747, DOI 10.1029/95JC01361
Gosink JJ, 1997, SYST APPL MICROBIOL, V20, P356, DOI 10.1016/S0723-2020(97)80003-3
Grasshoff K., 1983, Methods of Seawater Analysis: Third, Completely Revised and Extended Edition, DOI DOI 10.1002/9783527613984
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
He JF, 2012, DEEP-SEA RES PT II, V81-84, P36, DOI 10.1016/j.dsr2.2012.08.018
Herrmann M, 2012, CONT SHELF RES, V32, P96, DOI 10.1016/j.csr.2011.10.017
Hitchcock JN, 2010, ESTUAR COAST, V33, P78, DOI 10.1007/s12237-009-9229-x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
James AK, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173145
Jamieson RE, 2012, FEMS MICROBIOL ECOL, V80, P452, DOI 10.1111/j.1574-6941.2012.01313.x
Johnston AWB, 2008, J EXP BOT, V59, P1059, DOI 10.1093/jxb/erm264
KIENE RP, 1990, NATURE, V345, P702, DOI 10.1038/345702a0
Kim I, 2017, SCI TOTAL ENVIRON, V584, P154, DOI 10.1016/j.scitotenv.2017.01.165
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kostka JE, 2011, APPL ENVIRON MICROB, V77, P7962, DOI 10.1128/AEM.05402-11
Limardo AJ, 2015, NATURE, V522, P36, DOI 10.1038/nature14530
Loeb V, 1997, NATURE, V387, P897, DOI 10.1038/43174
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Luria CM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02117
Luria CM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01731
Luria CM, 2014, AQUAT MICROB ECOL, V73, P107, DOI 10.3354/ame01703
Manganelli M, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006941
Martinson DG, 2008, DEEP-SEA RES PT II, V55, P1964, DOI 10.1016/j.dsr2.2008.04.038
Mas-Lladó M, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.00350-14
Math RK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035784
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
Meredith MP, 2014, PHILOS T R SOC A, V372, DOI 10.1098/rsta.2013.0041
Meredith MP, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024042
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
Moline MA, 2004, GLOBAL CHANGE BIOL, V10, P1973, DOI 10.1111/j.1365-2486.2004.00825.x
Moline MA, 2008, ANN NY ACAD SCI, V1134, P267, DOI 10.1196/annals.1439.010
Montes-Hugo M, 2009, SCIENCE, V323, P1470, DOI 10.1126/science.1164533
Mounier J, 2014, FEMS MICROBIOL ECOL, V90, P816, DOI 10.1111/1574-6941.12439
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Murray AE, 2011, DEEP-SEA RES PT II, V58, P1407, DOI 10.1016/j.dsr2.2010.11.021
Parkinson CL, 2012, CRYOSPHERE, V6, P871, DOI 10.5194/tc-6-871-2012
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
Paterson H, 2012, POLAR BIOL, V35, P491, DOI 10.1007/s00300-011-1093-z
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Säwström C, 2009, POLAR BIOL, V32, P1195, DOI 10.1007/s00300-009-0619-0
Schlitzer R., 2018, OCEAN DATA VIEW VERS
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schofield O, 2010, SCIENCE, V328, P1520, DOI 10.1126/science.1185779
Shi J. X, 2016, ADV POLAR SCI, V28, P67
Signori CN, 2018, DEEP-SEA RES PT II, V149, P150, DOI 10.1016/j.dsr2.2017.12.017
Signori CN, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00647
Simó R, 2009, AQUAT MICROB ECOL, V57, P43, DOI 10.3354/ame01325
Singer E, 2011, APPL ENVIRON MICROB, V77, P2763, DOI 10.1128/AEM.01866-10
Smetacek V, 2005, NATURE, V437, P362, DOI 10.1038/nature04161
Stammerjohn S, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL050874
Stefels J, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0169
Sun FL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111892
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Toole DA, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019581
Topping JN, 2006, AQUAT MICROB ECOL, V45, P229, DOI 10.3354/ame045229
Turner J, 2005, INT J CLIMATOL, V25, P279, DOI 10.1002/joc.1130
Turner S, 1999, J EUKARYOT MICROBIOL, V46, P327, DOI 10.1111/j.1550-7408.1999.tb04612.x
Wilkins D, 2013, ENVIRON MICROBIOL, V15, P1318, DOI 10.1111/1462-2920.12035
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wouters B, 2015, SCIENCE, V348, P899, DOI 10.1126/science.aaa5727
Zeng YX, 2016, SCI REP-UK, V6, DOI 10.1038/srep33031
Zhang F, 2015, POLAR BIOL, V38, P1081, DOI 10.1007/s00300-015-1662-7
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
NR 96
TC 9
Z9 12
PD MAR 21
PY 2019
VL 38
AR 3491
DI 10.33265/polar.v38.3491
UT WOS:000474230600001
DA 2025-07-30
ER
PT J
AU Martinez-Hernandez, F
Diop, A
Garcia-Heredia, I
Bobay, LM
Martinez-Garcia, M
AF Martinez-Hernandez, Francisco
Diop, Awa
Garcia-Heredia, Inmaculada
Bobay, Louis-Marie
Martinez-Garcia, Manuel
TI Unexpected myriad of co-occurring viral strains and species in one of
the most abundant and microdiverse viruses on Earth
SO ISME JOURNAL
DT Article
AB Viral genetic microdiversity drives adaptation, pathogenicity, and speciation and has critical consequences for the viral-host arms race occurring at the strain and species levels, which ultimately impact microbial community structure and biogeochemical cycles. Despite the fact that most efforts have focused on viral macrodiversity, little is known about the microdiversity of ecologically important viruses on Earth. Recently, single-virus genomics discovered the putatively most abundant ocean virus in temperate and tropical waters: the uncultured dsDNA virus vSAG 37-F6 infecting Pelagibacter, the most abundant marine bacteria. In this study, we report the cooccurrence of up to approximate to 1,500 different viral strains (>95% nucleotide identity) and approximate to 30 related species (80-95% nucleotide identity) in a single oceanic sample. Viral microdiversity was maintained over space and time, and most alleles were the result of synonymous mutations without any apparent adaptive benefits to cope with host translation codon bias and efficiency. Gene flow analysis used to delimitate species according to the biological species concept (BSC) revealed the impact of recombination in shaping vSAG 37-F6 virus and Pelagibacter speciation. Data demonstrated that this large viral microdiversity somehow mirrors the host species diversity since approximate to 50% of the 926 analyzed Pelagibacter genomes were found to belong to independent BSC species that do not significantly engage in gene flow with one another. The host range of this evolutionarily successful virus revealed that a single viral species can infect multiple Pelagibacter BSC species, indicating that this virus crosses not only formal BSC barriers but also biomes since viral ancestors are found in freshwater.
C1 [Martinez-Hernandez, Francisco; Garcia-Heredia, Inmaculada; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
[Diop, Awa; Bobay, Louis-Marie] Univ North Carolina Greensboro, Dept Biol, Greensboro, NC USA.
RP Martinez-Garcia, M (corresponding author), Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
EM m.martinez@ua.es
CR de Crcer DA, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-989
Allert M, 2010, J MOL BIOL, V402, P905, DOI 10.1016/j.jmb.2010.08.010
Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Baran N, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0045-y
Beaulaurier J, 2020, GENOME RES, V30, P437, DOI 10.1101/gr.251686.119
Bernheim A, 2020, NAT REV MICROBIOL, V18, P113, DOI 10.1038/s41579-019-0278-2
Bobay LM, 2018, BIOINFORMATICS, V34, P3738, DOI 10.1093/bioinformatics/bty400
Bobay LM, 2018, P NATL ACAD SCI USA, V115, P6040, DOI 10.1073/pnas.1717593115
Bobay LM, 2017, GENOME BIOL EVOL, V9, P491, DOI 10.1093/gbe/evx026
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Boon M, 2020, PHAGE-THER APPL RES, V1, P87, DOI 10.1089/phage.2020.0006
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Chu D, 2019, BMC CANCER, V19, DOI 10.1186/s12885-019-5572-x
Cordero OX, 2017, ENVIRON MICROBIOL, V19, P420, DOI 10.1111/1462-2920.13674
Silva SDE, 2011, J THEOR BIOL, V287, P92, DOI 10.1016/j.jtbi.2011.07.017
Deana A, 2005, GENE DEV, V19, P2526, DOI 10.1101/gad.1348805
Deng L, 2014, NATURE, V513, P242, DOI 10.1038/nature13459
Dressaire C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059059
Dzunková M, 2019, NAT MICROBIOL, V4, P2192, DOI 10.1038/s41564-019-0526-2
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Edwards RA, 2019, NAT MICROBIOL, V4, P1727, DOI 10.1038/s41564-019-0494-6
Enav H, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07164-3
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Gregory AC, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-3286-x
Guerin E, 2018, CELL HOST MICROBE, V24, P653, DOI 10.1016/j.chom.2018.10.002
Harris CD, 2021, MOL BIOL EVOL, V38, P727, DOI 10.1093/molbev/msaa224
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Coutinho FH, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00554-19
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ignacio-Espinoza JC, 2020, NAT MICROBIOL, V5, P265, DOI 10.1038/s41564-019-0628-x
Jang HB, 2019, NAT BIOTECHNOL, V37, P632, DOI 10.1038/s41587-019-0100-8
Kavagutti VS, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0752-0
Konstantinidis KT, 2006, PHILOS T R SOC B, V361, P1929, DOI 10.1098/rstb.2006.1920
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Marston MF, 2016, ENVIRON MICROBIOL, V18, P4240, DOI 10.1111/1462-2920.13556
Marston MF, 2012, P NATL ACAD SCI USA, V109, P4544, DOI 10.1073/pnas.1120310109
Marston MF, 2009, ENVIRON MICROBIOL, V11, P2893, DOI 10.1111/j.1462-2920.2009.02037.x
Martínez JM, 2020, NAT REV MICROBIOL, V18, P705, DOI 10.1038/s41579-020-00444-0
Martinez-Hernandez F, 2020, ENV MICROBIOL REP, V12, P214, DOI 10.1111/1758-2229.12825
Martinez-Hernandez F, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01226
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
McMullen A, 2019, ENV MICROBIOL REP, V11, P855, DOI 10.1111/1758-2229.12804
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Mruwat N, 2021, ISME J, V15, P41, DOI 10.1038/s41396-020-00752-6
Murigneux V, 2020, GIGASCIENCE, V9, DOI 10.1093/gigascience/giaa146
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Paez-Espino D, 2019, NUCLEIC ACIDS RES, V47, pD678, DOI 10.1093/nar/gky1127
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Philosof A, 2017, CURR BIOL, V27, P1362, DOI 10.1016/j.cub.2017.03.052
Plotkin JB, 2011, NAT REV GENET, V12, P32, DOI 10.1038/nrg2899
Pope WH, 2015, ELIFE, V4, DOI 10.7554/eLife.06416
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Rodriguez-Valera Francisco, 2009, Nat Rev Microbiol, V7, P828, DOI 10.1038/nrmicro2235
Rosselló-Mora R, 2005, J BACTERIOL, V187, P6255, DOI 10.1128/JB.187.18.6255-6257.2005
Roux S, 2019, NAT BIOTECHNOL, V37, P29, DOI 10.1038/nbt.4306
Roux S, 2017, PEERJ, V5, DOI 10.7717/peerj.3817
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Sakowski EG, 2021, NAT MICROBIOL, V6, P630, DOI 10.1038/s41564-021-00873-4
Sampaio M, 2019, BIOINFORMATICS, V35, P5301, DOI 10.1093/bioinformatics/btz580
Schulz F, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07335-2
Shannon CE., 1997, MD COMPUT, V14
SORENSEN MA, 1989, J MOL BIOL, V207, P365, DOI 10.1016/0022-2836(89)90260-X
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Swan BK, 2010, APPL ENVIRON MICROB, V76, P757, DOI 10.1128/AEM.02409-09
Trubl G, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00076-18
VARENNE S, 1984, J MOL BIOL, V180, P549, DOI 10.1016/0022-2836(84)90027-5
Vik DR, 2017, PEERJ, V5, DOI 10.7717/peerj.3428
Warwick-Dugdale J, 2019, PEERJ, V7, DOI 10.7717/peerj.6800
Wenger AM, 2019, NAT BIOTECHNOL, V37, P1155, DOI 10.1038/s41587-019-0217-9
Ye J, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-134
Yu CH, 2015, MOL CELL, V59, P744, DOI 10.1016/j.molcel.2015.07.018
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 83
TC 11
Z9 11
PD APR
PY 2022
VL 16
IS 4
BP 1025
EP 1035
DI 10.1038/s41396-021-01150-2
EA NOV 2021
UT WOS:000718076600001
DA 2025-07-30
ER
PT J
AU Stingl, U
Desiderio, RA
Cho, JC
Vergin, KL
Giovannoni, SJ
AF Stingl, Ulrich
Desiderio, Russell A.
Cho, Jang-Cheon
Vergin, Kevin L.
Giovannoni, Stephen J.
TI The SAR92 clade: an abundant coastal clade of culturable marine bacteria
possessing proteorhodopsin
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Proteorhodopsin (PR) is a protein that is abundant in marine bacterioplankton. PR is hypothesized to be a light-dependent proton pump, thus creating a proton gradient that can be used for energy production without electron transport. Currently, the only culture that has been reported to possesses PR is the highly abundant alphaproteobacterium "Candidatus Pelagibacter ubique" (SAR11 clade), but surprisingly, its growth in batch culture was not enhanced by light. Here, we present the first cultured gammaproteobacterium that possesses a PR gene. Genome sequencing and analysis of HTCC2207 showed that the PR gene is present as a lone transcriptional unit directly followed by an operon containing genes that are presumably involved in the synthesis of retinal, the chromophore of PR. Half-time decay times of different PR intermediates in native HTCC2207 cells ranged between 2 and 15 ms, and the absorbance maximum of PR was determined to be 528 run. Proteorhodopsin was identified in three additional strains, using a specific PCR assay on other cultured members of the SAR92 clade. Phylogenetic analyses of the PR genes determined that they form a deeply rooting cluster not closely related to any PR genes recovered so far. Fluorescence in situ hybridization and RNA blots showed that the SAR92 clade reaches up to 10% of the total bacterial population in surface waters close to the Oregon coast and decreases over depth and distance from the shore. Although the growth of HTCC2207 is limited by the amount of available carbon that is present in the medium applied, these cultures do not grow at higher rates nor do they have higher growth yields when incubated under light.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
Inha Univ, Div Life & Marine Sci, Inchon 402751, South Korea.
RP Stingl, U (corresponding author), Oregon State Univ, Dept Microbiol, Nash Hall 220, Corvallis, OR 97331 USA.
EM stinglu@science.oregonstate.edu
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Gonzalez JM, 1997, INT J SYST BACTERIOL, V47, P369, DOI 10.1099/00207713-47-2-369
LANE DJ, 1992, J BACTERIOL, V174, P269, DOI 10.1128/jb.174.1.269-278.1992
Loy A, 2003, NUCLEIC ACIDS RES, V31, P514, DOI 10.1093/nar/gkg016
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
OESTERHELT D, 1971, NATURE-NEW BIOL, V233, P149, DOI 10.1038/newbio233149a0
Peck RF, 2002, J BACTERIOL, V184, P2889, DOI 10.1128/JB.184.11.2889-2897.2002
Pernthaler J, 2001, METHOD MICROBIOL, V30, P207, DOI 10.1016/S0580-9517(01)30046-6
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Retief J D, 2000, Methods Mol Biol, V132, P243
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
NR 30
TC 122
Z9 133
PD APR
PY 2007
VL 73
IS 7
BP 2290
EP 2296
DI 10.1128/AEM.02559-06
UT WOS:000245576300031
DA 2025-07-30
ER
PT J
AU Jing, XY
Gou, HL
Gong, YH
Su, XL
Xu, L
Ji, YT
Song, YZ
Thompson, IP
Xu, J
Huang, WE
AF Jing, Xiaoyan
Gou, Honglei
Gong, Yanhai
Su, Xiaolu
Xu, La
Ji, Yuetong
Song, Yizhi
Thompson, Ian P.
Xu, Jian
Huang, Wei E.
TI Raman-activated cell sorting and metagenomic sequencing revealing
carbon-fixing bacteria in the ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB It is of great significance to understand CO2 fixation in the oceans. Using single cell Raman spectra (SCRS) as biochemical profiles, Raman activated cell ejection (RACE) was able to link phenotypes and genotypes of cells. Here, we show that mini-metagenomic sequences from RACE can be used as a reference to reconstruct nearly complete genomes of key functional bacteria by binning shotgun metagenomic sequencing data. By applying this approach to C-13 bicarbonate spiked seawater from euphotic zone of the Yellow Sea of China, the dominant bacteria Synechococcus spp. and Pelagibacter spp. were revealed and both of them contain carotenoid and were able to incorporate C-13 into the cells at the same time. Genetic analysis of the reconstructed genomes suggests that both Synechococcus spp. and Pelagibacter spp. contained all genes necessary for carotenoid synthesis, light energy harvesting and CO2 fixation. Interestingly, the reconstructed genome indicates that Pelagibacter spp. harbored intact sets of genes for -carotene (precursor of retional), proteorhodopsin synthesis and anaplerotic CO2 fixation. This novel approach shines light on the role of marine microbial dark matter' in global carbon cycling, by linking yet-to-be-cultured Synechococcus spp. and Pelagibacter spp. to carbon fixation and flow activities in situ.
C1 [Jing, Xiaoyan; Gou, Honglei; Gong, Yanhai; Su, Xiaolu; Ji, Yuetong; Xu, Jian] Chinese Acad Sci, Qingdao Inst BioEnergy & Bioproc Technol, Single Cell Ctr, Key Lab Biofuels, Qingdao, Shandong, Peoples R China.
[Jing, Xiaoyan; Gou, Honglei; Gong, Yanhai; Su, Xiaolu; Ji, Yuetong; Xu, Jian] Chinese Acad Sci, Qingdao Inst BioEnergy & Bioproc Technol, Shandong Key Lab Energy Genet, Qingdao, Shandong, Peoples R China.
[Jing, Xiaoyan; Song, Yizhi; Thompson, Ian P.; Huang, Wei E.] Univ Oxford, Dept Engn Sci, Parks Rd, Oxford OX1 3PJ, England.
[Jing, Xiaoyan; Gou, Honglei; Gong, Yanhai; Su, Xiaolu; Ji, Yuetong; Xu, Jian] Univ Chinese Acad Sci, Beijing, Peoples R China.
[Xu, La] Marine Biol Inst Shandong Prov, Dis & Fishery Drugs Res Ctr, Qingdao, Shandong, Peoples R China.
RP Xu, J (corresponding author), Chinese Acad Sci, Qingdao Inst BioEnergy & Bioproc Technol, Single Cell Ctr, Key Lab Biofuels, Qingdao, Shandong, Peoples R China.; Xu, J (corresponding author), Chinese Acad Sci, Qingdao Inst BioEnergy & Bioproc Technol, Shandong Key Lab Energy Genet, Qingdao, Shandong, Peoples R China.; Huang, WE (corresponding author), Univ Oxford, Dept Engn Sci, Parks Rd, Oxford OX1 3PJ, England.; Xu, J (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.
EM xujian@qibebt.ac.cn; wei.huang@eng.ox.ac.uk
CR Albertsen M, 2013, NAT BIOTECHNOL, V31, P533, DOI 10.1038/nbt.2579
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Barron JA, 2005, ANN BIOMED ENG, V33, P121, DOI 10.1007/s10439-005-8971-x
Berry D, 2015, P NATL ACAD SCI USA, V112, pE194, DOI 10.1073/pnas.1420406112
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
Dumont MG, 2005, NAT REV MICROBIOL, V3, P499, DOI 10.1038/nrmicro1162
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Fukui Y, 2013, INT J SYST EVOL MICR, V63, P314, DOI 10.1099/ijs.0.040485-0
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
Handelsman J, 2004, MICROBIOL MOL BIOL R, V68, P669, DOI 10.1128/MMBR.68.4.669-685.2004
Haro-Moreno J.M., 2017, 134635 BIORXIV
Hopp B, 2005, TISSUE ENG, V11, P1817, DOI 10.1089/ten.2005.11.1817
Huang WE, 2004, ANAL CHEM, V76, P4452, DOI 10.1021/ac049753k
Huang WE, 2015, MICROB BIOTECHNOL, V8, P15, DOI 10.1111/1751-7915.12249
Huang WE, 2009, APPL ENVIRON MICROB, V75, P234, DOI 10.1128/AEM.01861-08
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Lee HG, 2016, PHYCOLOGIA, V55, P72, DOI 10.2216/15-71.1
Li MQ, 2012, J PHYS CHEM A, V116, P6560, DOI 10.1021/jp212619n
Li MQ, 2012, ISME J, V6, P875, DOI 10.1038/ismej.2011.150
Magnúsdóttir S, 2017, NAT BIOTECHNOL, V35, P81, DOI 10.1038/nbt.3703
McIlvenna D, 2016, LAB CHIP, V16, P1420, DOI 10.1039/c6lc00251j
McLean JS, 2013, P NATL ACAD SCI USA, V110, pE2390, DOI 10.1073/pnas.1219809110
Meziti A, 2015, SYST APPL MICROBIOL, V38, P358, DOI 10.1016/j.syapm.2015.04.003
Mulkidjanian AY, 2006, P NATL ACAD SCI USA, V103, P13126, DOI 10.1073/pnas.0605709103
Nayfach S, 2016, CELL, V166, P1103, DOI 10.1016/j.cell.2016.08.007
Nielsen HB, 2014, NAT BIOTECHNOL, V32, P822, DOI 10.1038/nbt.2939
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Paret M.L., 2012, SPIE DEFENSE SECURIT, V8367, P9
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reddy GS, 2015, J MICROBIOL, V53, P6, DOI 10.1007/s12275-015-4462-4
Ringeisen BR, 2004, TISSUE ENG, V10, P483, DOI 10.1089/107632704323061843
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Robert B, 2009, PHOTOSYNTH RES, V101, P147, DOI 10.1007/s11120-009-9440-4
Sabine CL, 2004, SCIENCE, V305, P367, DOI 10.1126/science.1097403
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schulz H, 2007, VIB SPECTROSC, V43, P13, DOI 10.1016/j.vibspec.2006.06.001
Shahina M, 2013, INT J SYST EVOL MICR, V63, P4765, DOI 10.1099/ijs.0.054635-0
Shindo K, 2014, MAR DRUGS, V12, P1690, DOI 10.3390/md12031690
Song YZ, 2017, MICROB BIOTECHNOL, V10, P125, DOI 10.1111/1751-7915.12420
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steiger S, 2015, MICROBIOL-SGM, V161, P194, DOI 10.1099/mic.0.083519-0
Stepanauskas R, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00128-z
Tao YF, 2017, ANAL CHEM, V89, P4108, DOI 10.1021/acs.analchem.6b05051
Tripp HJ, 2010, NATURE, V464, P90, DOI 10.1038/nature08786
Trujillo M.E., 2016, ACTINOBACTERIA ELS
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
von Lintig J, 2000, J BIOL CHEM, V275, P11915, DOI 10.1074/jbc.275.16.11915
Wang XX, 2017, ANAL CHEM, V89, P12569, DOI 10.1021/acs.analchem.7b03884
Wang Y, 2016, CURR OPIN BIOTECH, V41, P34, DOI 10.1016/j.copbio.2016.04.018
Wang Y, 2016, ANAL CHEM, V88, P9443, DOI 10.1021/acs.analchem.6b01602
Wang Y, 2013, ANAL CHEM, V85, P10697, DOI 10.1021/ac403107p
Wang ZC, 2016, PHYCOLOGIA, V55, P109, DOI 10.2216/15-70.1
WELLER R, 1992, APPL ENVIRON MICROB, V58, P3964, DOI 10.1128/AEM.58.12.3964-3969.1992
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Xu J, 2017, ENGINEERING, V3, P66, DOI 10.1016/J.ENG.2017.01.020
Yao GQ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00165
Yu FB, 2017, ELIFE, V6, DOI 10.7554/eLife.26580
Zehr JP, 2008, SCIENCE, V322, P1110, DOI 10.1126/science.1165340
Zhang DY, 2015, ISME J, V9, P603, DOI 10.1038/ismej.2014.161
Zhang PR, 2015, ANAL CHEM, V87, P2282, DOI 10.1021/ac503974e
NR 66
TC 71
Z9 81
PD JUN
PY 2018
VL 20
IS 6
SI SI
BP 2241
EP 2255
DI 10.1111/1462-2920.14268
UT WOS:000441876900036
DA 2025-07-30
ER
PT J
AU Clifton, BE
Alcolombri, U
Uechi, GI
Jackson, CJ
Laurino, P
AF Clifton, Ben E.
Alcolombri, Uria
Uechi, Gen-Ichiro
Jackson, Colin J.
Laurino, Paola
TI The ultra-high affinity transport proteins of ubiquitous marine bacteria
SO NATURE
DT Article
AB SAR11 bacteria are the most abundant microorganisms in the surface ocean(1) and have global biogeochemical importance(2-4). To thrive in their competitive oligotrophic environment, these bacteria rely heavily on solute-binding proteins that facilitate uptake of specific substrates via membrane transporters(5,6). The functions and properties of these transport proteins are key factors in the assimilation of dissolved organic matter and biogeochemical cycling of nutrients in the ocean, but they have remained largely inaccessible to experimental investigation. Here we performed genome-wide experimental characterization of all solute-binding proteins in a prototypical SAR11 bacterium, revealing specific functions and general trends in their properties that contribute to the success of SAR11 bacteria in oligotrophic environments. We found that the solute-binding proteins of SAR11 bacteria have extremely high binding affinity (dissociation constant >20 pM) and high binding specificity, revealing molecular mechanisms of oligotrophic adaptation. Our functional data have uncovered new carbon sources for SAR11 bacteria and enable accurate biogeographical analysis of SAR11 substrate uptake capabilities throughout the ocean. This study provides a comprehensive view of the substrate uptake capabilities of ubiquitous marine bacteria, providing a necessary foundation for understanding their contribution to assimilation of dissolved organic matter in marine ecosystems.
C1 [Clifton, Ben E.; Uechi, Gen-Ichiro; Laurino, Paola] Okinawa Inst Sci & Technol Grad Univ, Prot Engn & Evolut Unit, Onna, Japan.
[Alcolombri, Uria] Hebrew Univ Jerusalem, Dept Plant & Environm Sci, Jerusalem, Israel.
[Jackson, Colin J.] Australian Natl Univ, Res Sch Chem, Canberra, ACT, Australia.
[Jackson, Colin J.] Australian Natl Univ, ARC Ctr Excellence Innovat Peptide & Prot Sci, Canberra, ACT, Australia.
[Jackson, Colin J.] Australian Natl Univ, Res Sch Chem, ARC Ctr Excellence Synthet Biol, Canberra, ACT, Australia.
[Laurino, Paola] Osaka Univ, Inst Prot Res, Suita, Osaka, Japan.
RP Clifton, BE; Laurino, P (corresponding author), Okinawa Inst Sci & Technol Grad Univ, Prot Engn & Evolut Unit, Onna, Japan.; Laurino, P (corresponding author), Osaka Univ, Inst Prot Res, Suita, Osaka, Japan.
EM benjamin.clifton@oist.jp; paola.laurino@oist.jp
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Armenteros JJA, 2019, NAT BIOTECHNOL, V37, P420, DOI 10.1038/s41587-019-0036-z
Azam F, 2004, SCIENCE, V303, P1622, DOI 10.1126/science.1093892
Badarau A, 2008, J BIOL CHEM, V283, P12520, DOI 10.1074/jbc.M709907200
Bateman A, 2023, NUCLEIC ACIDS RES, V51, pD523, DOI 10.1093/nar/gkac1052
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carter MS, 2018, NAT CHEM BIOL, V14, P696, DOI 10.1038/s41589-018-0067-7
CHEN CY, 1993, MOL MICROBIOL, V10, P311, DOI 10.1111/j.1365-2958.1993.tb01957.x
Chen XF, 2021, ENVIRON INT, V157, DOI 10.1016/j.envint.2021.106829
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
Clifford EL, 2017, LIMNOL OCEANOGR, V62, P2745, DOI 10.1002/lno.10603
Clifton BE, 2018, NAT CHEM BIOL, V14, P542, DOI 10.1038/s41589-018-0043-2
Clifton BE, 2016, CELL CHEM BIOL, V23, P236, DOI 10.1016/j.chembiol.2015.12.010
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Davidson AL, 2008, MICROBIOL MOL BIOL R, V72, P317, DOI 10.1128/MMBR.00031-07
Davies JS, 2021, FRONT MOL BIOSCI, V8, DOI 10.3389/fmolb.2021.699222
Dinsdale EA, 2008, NATURE, V452, P629, DOI 10.1038/nature06810
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Duvvuri H, 2018, BIOCHEMISTRY-US, V57, P2578, DOI 10.1021/acs.biochem.7b01264
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Ehrhardt MKG, 2018, METHODS MOL BIOL, V1729, P281, DOI 10.1007/978-1-4939-7577-8_22
Elbourne LDH, 2017, NUCLEIC ACIDS RES, V45, pD320, DOI 10.1093/nar/gkw1068
Elias M, 2012, NATURE, V491, P134, DOI 10.1038/nature11517
Emsley P, 2004, ACTA CRYSTALLOGR D, V60, P2126, DOI 10.1107/S0907444904019158
Fernández M, 2018, METHODS MOL BIOL, V1729, P291, DOI 10.1007/978-1-4939-7577-8_23
Ford BA, 2021, BIOCHEM SOC T, V49, P2465, DOI 10.1042/BST20200244
Gao C, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.838608
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hirata K, 2019, ACTA CRYSTALLOGR D, V75, P138, DOI 10.1107/S2059798318017795
Jiao NZ, 2011, APPL ENVIRON MICROB, V77, P7439, DOI 10.1128/AEM.05640-11
Jumper J, 2021, NATURE, V596, P583, DOI 10.1038/s41586-021-03819-2
Kabsch W, 2010, ACTA CRYSTALLOGR D, V66, P125, DOI 10.1107/S0907444909047337
Kamennaya NA, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16428-w
Kiene RP, 1998, LIMNOL OCEANOGR, V43, P1592, DOI 10.4319/lo.1998.43.7.1592
Knorr S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07563-6
Koropatkin N, 2007, J BIOL CHEM, V282, P27468, DOI 10.1074/jbc.M704136200
Li CY, 2023, ISME J, V17, P579, DOI 10.1038/s41396-023-01375-3
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Liebschner D, 2019, ACTA CRYSTALLOGR D, V75, P861, DOI 10.1107/S2059798319011471
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mccoy AJ, 2007, J APPL CRYSTALLOGR, V40, P658, DOI 10.1107/S0021889807021206
McKellar JLO, 2015, MOL MICROBIOL, V96, P694, DOI 10.1111/mmi.12964
Mirdita M, 2022, NAT METHODS, V19, P679, DOI 10.1038/s41592-022-01488-1
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moran MA, 2022, NAT MICROBIOL, V7, P508, DOI 10.1038/s41564-022-01090-3
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mulligan C, 2011, FEMS MICROBIOL REV, V35, P68, DOI 10.1111/j.1574-6976.2010.00236.x
Murshudov GN, 1997, ACTA CRYSTALLOGR D, V53, P240, DOI 10.1107/S0907444996012255
Niehaus TD, 2017, J BIOL CHEM, V292, P16360, DOI 10.1074/jbc.M117.805028
Noell SE, 2021, MBIO, V12, DOI 10.1128/mBio.01091-21
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Norris N, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009023
Ondov BD, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-385
Paysan-Lafosse T, 2023, NUCLEIC ACIDS RES, V51, pD418, DOI 10.1093/nar/gkac993
Peter MF, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31907-y
Pilson M.E., 1998, INTRO CHEM SEA
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schnoes AM, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000605
Schroer WF, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00244-6
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Ustick LJ, 2021, SCIENCE, V372, P287, DOI 10.1126/science.abe6301
Vagin A, 1997, J APPL CRYSTALLOGR, V30, P1022, DOI 10.1107/S0021889897006766
Varadi M, 2022, NUCLEIC ACIDS RES, V50, pD439, DOI 10.1093/nar/gkab1061
Velazquez-Campoy A, 2006, NAT PROTOC, V1, P186, DOI 10.1038/nprot.2006.28
Vernette C, 2022, NUCLEIC ACIDS RES, V50, pW516, DOI 10.1093/nar/gkac420
Vetting MW, 2015, BIOCHEMISTRY-US, V54, P909, DOI 10.1021/bi501388y
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Yamashita K, 2018, ACTA CRYSTALLOGR D, V74, P441, DOI 10.1107/S2059798318004576
Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zhao ZH, 2024, SCI ADV, V10, DOI 10.1126/sciadv.adn5143
Zubkov MV, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8878
NR 91
TC 4
Z9 4
PD OCT 17
PY 2024
VL 634
IS 8034
BP 721
EP +
DI 10.1038/s41586-024-07924-w
EA SEP 2024
UT WOS:001336278700004
DA 2025-07-30
ER
PT J
AU Eiler, A
Mondav, R
Sinclair, L
Fernandez-Vidal, L
Scofield, DG
Schwientek, P
Martinez-Garcia, M
Torrents, D
McMahon, KD
Andersson, SGE
Stepanauskas, R
Woyke, T
Bertilsson, S
AF Eiler, Alexander
Mondav, Rhiannon
Sinclair, Lucas
Fernandez-Vidal, Leyden
Scofield, Douglas G.
Schwientek, Patrick
Martinez-Garcia, Manuel
Torrents, David
McMahon, Katherine D.
Andersson, Siv G. E.
Stepanauskas, Ramunas
Woyke, Tanja
Bertilsson, Stefan
TI Tuning fresh: radiation through rewiring of central metabolism in
streamlined bacteria
SO ISME JOURNAL
DT Article
AB Most free-living planktonic cells are streamlined and in spite of their limitations in functional flexibility, their vast populations have radiated into a wide range of aquatic habitats. Here we compared the metabolic potential of subgroups in the Alphaproteobacteria lineage SAR11 adapted to marine and freshwater habitats. Our results suggest that the successful leap from marine to freshwaters in SAR11 was accompanied by a loss of several carbon degradation pathways and a rewiring of the central metabolism. Examples for these are C1 and methylated compounds degradation pathways, the Entner-Doudouroff pathway, the glyoxylate shunt and anapleuretic carbon fixation being absent from the freshwater genomes. Evolutionary reconstructions further suggest that the metabolic modules making up these important freshwater metabolic traits were already present in the gene pool of ancestral marine SAR11 populations. The loss of the glyoxylate shunt had already occurred in the common ancestor of the freshwater subgroup and its closest marine relatives, suggesting that the adaptation to freshwater was a gradual process. Furthermore, our results indicate rapid evolution of TRAP transporters in the freshwater clade involved in the uptake of low molecular weight carboxylic acids. We propose that such gradual tuning of metabolic pathways and transporters toward locally available organic substrates is linked to the formation of subgroups within the SAR11 clade and that this process was critical for the freshwater clade to find and fix an adaptive phenotype.
C1 [Eiler, Alexander; Mondav, Rhiannon; Sinclair, Lucas; Fernandez-Vidal, Leyden; Bertilsson, Stefan] Uppsala Univ, Dept Ecol & Genet, Limnol, Norbyvagen 18D, S-75236 Uppsala, Sweden.
[Eiler, Alexander; Mondav, Rhiannon; Sinclair, Lucas; Fernandez-Vidal, Leyden; Andersson, Siv G. E.; Bertilsson, Stefan] Uppsala Univ, Sci Life Lab, Norbyvagen 18D, S-75236 Uppsala, Sweden.
[Scofield, Douglas G.] Uppsala Univ, Dept Ecol & Genet, Evolutionary Biol, Uppsala, Sweden.
[Scofield, Douglas G.] Uppsala Univ, Uppsala Multidisciplinary Ctr Adv Computat Sci, Uppsala, Sweden.
[Schwientek, Patrick; Woyke, Tanja] Joint Genome Inst, Dept Energy, Walnut Creek, CA USA.
[Martinez-Garcia, Manuel; Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME USA.
[Torrents, David] Barcelona Supercomp Ctr, IRB BSC Program Computat Biol, Barcelona, Spain.
[Torrents, David] ICREA, Barcelona, Spain.
[McMahon, Katherine D.] Univ Wisconsin, Dept Civil & Environm Engn, Madison, WI 53706 USA.
[McMahon, Katherine D.] Univ Wisconsin, Dept Bacteriol, Madison, WI 53706 USA.
[Andersson, Siv G. E.] Uppsala Univ, Dept Cell & Mol Biol, Mol Evolut, Uppsala, Sweden.
[Martinez-Garcia, Manuel] Univ Alicante, Alicante, Spain.
RP Eiler, A; Bertilsson, S (corresponding author), Uppsala Univ, Dept Ecol & Genet, Limnol, Norbyvagen 18D, S-75236 Uppsala, Sweden.; Eiler, A; Bertilsson, S (corresponding author), Uppsala Univ, Sci Life Lab, Norbyvagen 18D, S-75236 Uppsala, Sweden.
EM alexander.eiler@ebc.uu.se; stebe@ebc.uu.se
CR Adnan F, 2015, RNA BIOL, V12, P569, DOI 10.1080/15476286.2015.1031948
Alm E, 2006, PLOS COMPUT BIOL, V2, P1329, DOI 10.1371/journal.pcbi.0020143
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Bateman A, 2002, NUCLEIC ACIDS RES, V30, P276, DOI [10.1093/nar/gkp985, 10.1093/nar/gkr1065, 10.1093/nar/gkh121]
BATTERTON JC, 1971, ARCH MIKROBIOL, V76, P151, DOI 10.1007/BF00411789
Bertilsson S, 2000, LIMNOL OCEANOGR, V45, P753, DOI 10.4319/lo.2000.45.4.0753
Bertilsson S., 2003, Aquatic Ecosystems, Interactivity of Dissolved Organic Matter, DOI DOI 10.1016/B978-012256371-3/50002-0
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
CHAO A, 1987, BIOMETRICS, V43, P783, DOI 10.2307/2531532
Cohan FM, 2001, SYST BIOL, V50, P513, DOI 10.1080/106351501750435077
Cordero OX, 2014, NAT REV MICROBIOL, V12, P263, DOI 10.1038/nrmicro3218
Doyle M, 2007, SCIENCE, V315, P251, DOI 10.1126/science.1137550
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eiler A, 2014, ENVIRON MICROBIOL, V16, P2682, DOI 10.1111/1462-2920.12301
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
ENTNER N, 1952, J BIOL CHEM, V196, P853
Garcia SL, 2015, MOL ECOL, V24, P4449, DOI 10.1111/mec.13319
Garcia SL, 2013, ISME J, V7, P137, DOI 10.1038/ismej.2012.86
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hahn MW, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032772
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Joset F, 1996, PHYSIOL PLANTARUM, V96, P738, DOI 10.1111/j.1399-3054.1996.tb00251.x
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Keller H, 1999, BONE, V25, P167
Lawrence J, 1999, CURR OPIN GENET DEV, V9, P642, DOI 10.1016/S0959-437X(99)00025-8
Levin BR, 2000, P NATL ACAD SCI USA, V97, P6981, DOI 10.1073/pnas.97.13.6981
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Lynch M., 2007, The origin of genome architecture
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Markowitz VM, 2012, NUCLEIC ACIDS RES, V40, pD115, DOI 10.1093/nar/gkr1044
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Page-Sharp M, 1999, BBA-GEN SUBJECTS, V1472, P519, DOI 10.1016/S0304-4165(99)00155-5
Popa O, 2011, GENOME RES, V21, P599, DOI 10.1101/gr.115592.110
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schaechter M., 1990, PHYSL BACTERIAL CELL
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Serres MH, 2009, BIOL DIRECT, V4, DOI 10.1186/1745-6150-4-46
SHARK KB, 1992, FEMS MICROBIOL LETT, V96, P19, DOI 10.1111/j.1574-6968.1992.tb05387.x
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunda WG, 2007, AQUAT SCI, V69, P341, DOI 10.1007/s00027-007-0887-0
Suzuki M.T., 2002, Biodiversity of Microbial Life, P209
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
ZAWADZKI P, 1995, GENETICS, V141, P1231
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 69
TC 35
Z9 41
PD AUG
PY 2016
VL 10
IS 8
BP 1902
EP 1914
DI 10.1038/ismej.2015.260
UT WOS:000380959800010
DA 2025-07-30
ER
PT J
AU Buchholz, HH
Michelsen, M
Parsons, RJ
Bates, NR
Temperton, B
AF Buchholz, Holger H.
Michelsen, Michelle
Parsons, Rachel J.
Bates, Nicholas R.
Temperton, Ben
TI Draft Genome Sequences of Pelagimyophage Mosig EXVC030M and
Pelagipodophage Lederberg EXVC029P, Isolated from Devil's Hole, Bermuda
SO MICROBIOLOGY RESOURCE ANNOUNCEMENTS
DT Article
AB We present the genomes of two isolated bacteriophages infecting Pelagibacter ubique HTCC1062. Pelagibacter phage Mosig EXVC030M (Myoviridae) and Pelagibacter phage Lederberg EXVC029P (Podoviridae) were isolated by dilution-to-extinction culturing from the oxygen minimum zone at Devil's Hole (Harrington Sound, Bermuda).
C1 [Buchholz, Holger H.; Michelsen, Michelle; Temperton, Ben] Univ Exeter, Sch Biosci, Exeter, Devon, England.
[Parsons, Rachel J.; Bates, Nicholas R.] Bermuda Inst Ocean Sci, St Georges, Bermuda.
[Bates, Nicholas R.] Univ Southampton, Sch Ocean & Earth Sci, Waterfront Campus, Southampton, Hants, England.
RP Temperton, B (corresponding author), Univ Exeter, Sch Biosci, Exeter, Devon, England.
EM b.temperton@exeter.ac.uk
CR Bairoch A, 2000, NUCLEIC ACIDS RES, V28, P45, DOI 10.1093/nar/28.1.45
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bateman A, 2019, NUCLEIC ACIDS RES, V47, pD506, DOI 10.1093/nar/gky1049
Besemer J, 2001, NUCLEIC ACIDS RES, V29, P2607, DOI 10.1093/nar/29.12.2607
Bolduc B, 2017, PEERJ, V5, DOI 10.7717/peerj.3243
BORODOVSKY M, 1993, COMPUT CHEM, V17, P123, DOI 10.1016/0097-8485(93)85004-V
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Bushnell B, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185056
Contreras-Moreira B, 2013, APPL ENVIRON MICROB, V79, P7696, DOI 10.1128/AEM.02411-13
Delcher AL, 2007, BIOINFORMATICS, V23, P673, DOI 10.1093/bioinformatics/btm009
Dereeper A, 2008, NUCLEIC ACIDS RES, V36, pW465, DOI 10.1093/nar/gkn180
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Huelsenbeck JP, 2001, BIOINFORMATICS, V17, P754, DOI 10.1093/bioinformatics/17.8.754
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Lomsadze A, 2018, GENOME RES, V28, P1079, DOI 10.1101/gr.230615.117
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Parsons RJ, 2015, ENVIRON MICROBIOL, V17, P3481, DOI 10.1111/1462-2920.12445
Potter SC, 2018, NUCLEIC ACIDS RES, V46, pW200, DOI 10.1093/nar/gky448
Pruitt KD, 2007, NUCLEIC ACIDS RES, V35, pD61, DOI 10.1093/nar/gkl842
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Salisbury A, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20143391
Talavera G, 2007, SYST BIOL, V56, P564, DOI 10.1080/10635150701472164
Weitz JS, 2015, ISME J, V9, P1352, DOI 10.1038/ismej.2014.220
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhu WH, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq275
NR 29
TC 4
Z9 4
PD FEB
PY 2021
VL 10
IS 7
AR e01325-20
DI 10.1128/MRA.01325-20
UT WOS:000620705900004
DA 2025-07-30
ER
PT J
AU Zubkov, MV
Martin, AP
Hartmann, M
Grob, C
Scanlan, DJ
AF Zubkov, Mikhail V.
Martin, Adrian P.
Hartmann, Manuela
Grob, Carolina
Scanlan, David J.
TI Dominant oceanic bacteria secure phosphate using a large extracellular
buffer
SO NATURE COMMUNICATIONS
DT Article
AB The ubiquitous SAR11 and Prochlorococcus bacteria manage to maintain a sufficient supply of phosphate in phosphate-poor surface waters of the North Atlantic subtropical gyre. Furthermore, it seems that their phosphate uptake may counter-intuitively be lower in more productive tropical waters, as if their cellular demand for phosphate decreases there. By flow sorting 33P-phosphate-pulsed 32P-phosphate-chased cells, we demonstrate that both Prochlorococcus and SAR11 cells exploit an extracellular buffer of labile phosphate up to 5-40 times larger than the amount of phosphate required to replicate their chromosomes. Mathematical modelling is shown to support this conclusion. The fuller the buffer the slower the cellular uptake of phosphate, to the point that in phosphate-replete tropical waters, cells can saturate their buffer and their phosphate uptake becomes marginal. Hence, buffer stocking is a generic, growth-securing adaptation for SAR11 and Prochlorococcus bacteria, which lack internal reserves to reduce their dependency on bioavailable ambient phosphate.
C1 [Zubkov, Mikhail V.; Martin, Adrian P.; Hartmann, Manuela] Natl Oceanog Ctr, Ocean Biogeochem & Ecosyst Res Grp, Southampton SO14 3ZH, Hants, England.
[Grob, Carolina; Scanlan, David J.] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
RP Zubkov, MV (corresponding author), Natl Oceanog Ctr, Ocean Biogeochem & Ecosyst Res Grp, European Way, Southampton SO14 3ZH, Hants, England.
EM mvz@noc.ac.uk
CR Björkman K, 2000, AQUAT MICROB ECOL, V22, P185, DOI 10.3354/ame022185
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Hartmann M, 2014, ISME J, V8, P2280, DOI 10.1038/ismej.2014.56
Heldal M, 2003, LIMNOL OCEANOGR, V48, P1732, DOI 10.4319/lo.2003.48.5.1732
Heywood JL, 2006, DEEP-SEA RES PT II, V53, P1530, DOI 10.1016/j.dsr2.2006.05.005
Hill PG, 2011, PROG OCEANOGR, V91, P437, DOI 10.1016/j.pocean.2011.05.006
Krumhardt KM, 2013, ENVIRON MICROBIOL, V15, P2114, DOI 10.1111/1462-2920.12079
Larsen A, 2008, LIMNOL OCEANOGR-METH, V6, P355, DOI 10.4319/lom.2008.6.355
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mather RL, 2008, NAT GEOSCI, V1, P439, DOI 10.1038/ngeo232
Michelou VK, 2011, LIMNOL OCEANOGR, V56, P323, DOI 10.4319/lo.2011.56.1.0323
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Redfield A.C., 1963, The Sea: Ideas and Observations on Progress in the Study of the Seas, V2, P26
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Sañudo-Wilhelmy SA, 2004, NATURE, V432, P897, DOI 10.1038/nature03125
Talarmin A, 2011, LIMNOL OCEANOGR-METH, V9, P443, DOI 10.4319/lom.2011.9.443
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Tyrrell T, 1999, NATURE, V400, P525, DOI 10.1038/22941
Ward BA, 2010, J MARINE SYST, V81, P34, DOI 10.1016/j.jmarsys.2009.12.005
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zubkov MV, 2008, NATURE, V455, P224, DOI 10.1038/nature07236
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4776
NR 27
TC 21
Z9 22
PD JUL
PY 2015
VL 6
AR 7878
DI 10.1038/ncomms8878
UT WOS:000358862100005
DA 2025-07-30
ER
PT J
AU Rodríguez-Blanco, A
Ghiglione, JF
Catala, P
Casamayor, EO
Lebaron, P
AF Rodriguez-Blanco, Arturo
Ghiglione, Jean-Francois
Catala, Philippe
Casamayor, Emilio O.
Lebaron, Philippe
TI Spatial comparison of total vs. active bacterial populations by coupling
genetic fingerprinting and clone library analyses in the NW
Mediterranean Sea
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Spatial distributions of both total (i.e. 16S rDNA-based fingerprints) and active (i.e. 16S rRNA-based fingerprints) bacterial populations, together with total bacterial activity measured by H-3-leucine incorporation, were studied along a 98 km transect in the NW Mediterranean Sea. Capillary electrophoresis-single strand conformation polymorphism (CE-SSCP) fingerprinting was coupled to a clone library, allowing CE-SSCP peaks identification and the monitoring of the spatial variation of bacterial phylotypes. Up to 80% of the community peaks matched those obtained from clone library sequences, accounting for 86.7% of the total fingerprinting area. A good agreement was found between the relative abundance of Prochlorococcus in the CE-SSCP fingerprints and flow cytometry counts (r(2)=0.66, P < 0.05). The largest differences between total and active bacterial populations distribution were found at depths with higher bacterial activity (i.e. surface and deep chlorophyll maximum, DCM). SAR11 at the surface and Gammaproteobacteria at the DCM were the most abundant groups on the 16S rDNA-based fingerprints. However, their ratio of relative importance between rRNA : rDNA was < 1 in most cases. Conversely, ratios observed for Prochlorococcus, were consistently > 1 both at the surface and at the DCM. These results emphasize the need for combining rDNA- and rRNA-based analyses to better understand the functional role of individual bacterial populations in situ.
C1 [Ghiglione, Jean-Francois] Univ Paris 06, CNRS, UMR 7621, UPMC,Lab Oceanog Biol Banyuls, F-66650 Banyuls Sur Mer, France.
[Rodriguez-Blanco, Arturo; Ghiglione, Jean-Francois; Catala, Philippe; Lebaron, Philippe] Univ Paris 06, UPMC, UMR 7621, Lab Arago, F-66650 Banyuls Sur Mer, France.
[Casamayor, Emilio O.] CSIC, CEAB, Dept Continental Ecol, Limnol Grp, Girona, Spain.
RP Ghiglione, JF (corresponding author), Univ Paris 06, CNRS, UMR 7621, UPMC,Lab Oceanog Biol Banyuls, Ave Fontaule,BP44, F-66650 Banyuls Sur Mer, France.
EM ghiglione@obs-banyuls.fr
CR Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
[Anonymous], 1993, Handbook of Methods in Aquatic Microbial Ecology. Eds
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
BROSIUS J, 1981, J MOL BIOL, V148, P107, DOI 10.1016/0022-2836(81)90508-8
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Casamayor EO, 2000, APPL ENVIRON MICROB, V66, P499, DOI 10.1128/AEM.66.2.499-508.2000
Casamayor EO, 2001, MICROB ECOL, V42, P427, DOI 10.1007/s002480000068
CHO BC, 1990, MAR ECOL PROG SER, V63, P253, DOI 10.3354/meps063253
del Giorgio PA, 2002, LIMNOL OCEANOGR, V47, P471, DOI 10.4319/lo.2002.47.2.0471
Delbès C, 2001, FEMS MICROBIOL ECOL, V35, P19, DOI 10.1111/j.1574-6941.2001.tb00784.x
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Felske A, 1998, APPL ENVIRON MICROB, V64, P4581
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
Hong H, 2007, J MICROBIOL METH, V69, P52, DOI 10.1016/j.mimet.2006.11.016
Joux F, 2005, VIE MILIEU, V55, P197
KOWALCHUK GA, 1997, APPL ENVIRON MICROB, V63, P858
Lee DH, 1996, APPL ENVIRON MICROB, V62, P3112, DOI 10.1128/AEM.62.9.3112-3120.1996
LEE SH, 1991, LIMNOL OCEANOGR, V36, P1277, DOI 10.4319/lo.1991.36.7.1277
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
NEVEUX J, 1987, ARCH HYDROBIOL, V109, P567
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pernthaler J, 2005, MICROBIOL MOL BIOL R, V69, P440, DOI 10.1128/MMBR.69.3.440-461.2005
Piceno YM, 1999, MICROB ECOL, V38, P157, DOI 10.1007/s002489900164
POULSEN LK, 1993, APPL ENVIRON MICROB, V59, P1354, DOI 10.1128/AEM.59.5.1354-1360.1993
Riemann L, 1999, DEEP-SEA RES PT II, V46, P1791, DOI 10.1016/S0967-0645(99)00044-2
Scanlan DJ, 2002, FEMS MICROBIOL ECOL, V40, P1, DOI 10.1111/j.1574-6941.2002.tb00930.x
Schauer M, 2000, FEMS MICROBIOL ECOL, V33, P51, DOI 10.1016/S0168-6496(00)00043-X
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Servais P, 2003, AQUAT MICROB ECOL, V33, P41, DOI 10.3354/ame033041
Sherr BF, 1999, AQUAT MICROB ECOL, V18, P117, DOI 10.3354/ame018117
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
Vallaeys T, 1997, FEMS MICROBIOL ECOL, V24, P279, DOI 10.1111/j.1574-6941.1997.tb00445.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Winter C, 2004, AQUAT MICROB ECOL, V35, P207, DOI 10.3354/ame035207
Zemb O, 2007, MOL ECOL NOTES, V7, P767, DOI 10.1111/j.1471-8286.2007.01882.x
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
NR 46
TC 29
Z9 30
PD JAN
PY 2009
VL 67
IS 1
BP 30
EP 42
DI 10.1111/j.1574-6941.2008.00591.x
UT WOS:000261622000004
DA 2025-07-30
ER
PT J
AU Lee, PO
McLellan, SL
Graham, LE
Young, EB
AF Lee, Philip O.
McLellan, Sandra L.
Graham, Linda E.
Young, Erica B.
TI Invasive dreissenid mussels and benthic algae in Lake Michigan:
characterizing effects on sediment bacterial communities
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Dreissenid mussels have invaded the Laurentian Great Lakes causing dramatic changes to benthic-pelagic interactions. Despite research on food web impacts, there is limited data on mussel effects on benthic bacterial communities. This study examined effects of dreissenid mussels and benthic algae on sediment bacterial community composition and diversity. Triplicate experimental sediment plus lake water microcosms were used and either mussels, benthic algae or both were added. Changes in water nutrient chemistry and sediment bacterial communities were monitored using 16S rRNA amplicon sequencing, over 21 days. When mussels were present, nitrate and soluble reactive P increased significantly as the dominant N and P forms. Bacterial diversity increased in all microcosms, although bacterial community composition was distinct between treatment. Higher nitrate in mussel microcosms was accompanied by increases in nitrifying taxa (Nitrospira, Nitrosomonas), which are important in oxidizing mussel-excreted ammonium. Microcosms with algal additions showed increases in bacterial taxa capable of degrading algal cellulose, and Pelagibacter (SAR11) disappeared from all but control microcosms. This study suggests that bacterial communities in lake sediments respond to mussels and algae. Functional analysis of bacterial communities provides insights into changes in microbially mediated benthic nutrient transformations associated with invasive dreissenid mussels and benthic algae in lake ecosystems.
C1 [Lee, Philip O.; Young, Erica B.] Univ Wisconsin, Dept Biol Sci, Milwaukee, WI 53201 USA.
[McLellan, Sandra L.; Young, Erica B.] Univ Wisconsin, Sch Freshwater Sci, Milwaukee, WI 53204 USA.
[Graham, Linda E.] Univ Wisconsin, Dept Bot, Madison, WI 53706 USA.
RP Young, EB (corresponding author), Univ Wisconsin, Dept Biol Sci, 3209 N Maryland Ave, Milwaukee, WI 53201 USA.
EM ebyoung@uwm.edu
CR Altmann D, 2003, ENVIRON MICROBIOL, V5, P798, DOI 10.1046/j.1469-2920.2003.00469.x
Anders S, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-10-r106
Andersen R.A, 2005, ALGAL CULTURING TECH
Arnott DL, 1996, CAN J FISH AQUAT SCI, V53, P646, DOI 10.1139/cjfas-53-3-646
AUER M T, 1982, Journal of Great Lakes Research, V8, P73
Barbiero RP, 2006, CAN J FISH AQUAT SCI, V63, P1549, DOI 10.1139/F06-059
Besemer K, 2007, APPL ENVIRON MICROB, V73, P4966, DOI 10.1128/AEM.00588-07
Byappanahalli MN, 2003, FEMS MICROBIOL ECOL, V46, P203, DOI 10.1016/S0168-6496(03)00214-9
CHAO A, 1984, SCAND J STAT, V11, P265
Conroy JD, 2005, FRESHWATER BIOL, V50, P1146, DOI 10.1111/j.1365-2427.2005.01392.x
COTNER JB, 1992, LIMNOL OCEANOGR, V37, P232, DOI 10.4319/lo.1992.37.2.0232
Cross WF, 2005, FRESHWATER BIOL, V50, P1895, DOI 10.1111/j.1365-2427.2005.01458.x
DODDS WK, 1991, OECOLOGIA, V85, P572, DOI 10.1007/BF00323770
Englebert ET, 2008, J GREAT LAKES RES, V34, P377, DOI 10.3394/0380-1330(2008)34[377:IOTACO]2.0.CO;2
Entcheva-Dimitrov P, 2004, J BACTERIOL, V186, P8254, DOI 10.1128/JB.186.24.8254-8266.2004
Findlay S, 1998, MICROBIAL ECOL, V36, P131, DOI 10.1007/s002489900100
Frischer ME, 2000, CAN J FISH AQUAT SCI, V57, P591, DOI 10.1139/cjfas-57-3-591
GARDNER WS, 1987, LIMNOL OCEANOGR, V32, P1226, DOI 10.4319/lo.1987.32.6.1226
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hecky RE, 2004, CAN J FISH AQUAT SCI, V61, P1285, DOI [10.1139/f04-065, 10.1139/F04-065]
Higgins SN, 2010, ECOL MONOGR, V80, P179, DOI 10.1890/09-1249.1
Higgins SN, 2008, J PHYCOL, V44, P839, DOI 10.1111/j.1529-8817.2008.00538.x
HOFFMANN JP, 1984, J PHYCOL, V20, P1, DOI 10.1111/j.0022-3646.1984.00001.x
Lavrentyev PJ, 2000, AQUAT MICROB ECOL, V21, P187, DOI 10.3354/ame021187
Lohner RN, 2007, MICROB ECOL, V54, P469, DOI 10.1007/s00248-007-9211-8
LOWE R L, 1982, Journal of Great Lakes Research, V8, P164
MacGregor BJ, 2001, ENVIRON MICROBIOL, V3, P205, DOI 10.1046/j.1462-2920.2001.00180.x
MacGregor BJ, 2001, APPL ENVIRON MICROB, V67, P3908, DOI 10.1128/AEM.67.9.3908-3922.2001
Makarewicz JC, 2000, J GREAT LAKES RES, V26, P82, DOI 10.1016/S0380-1330(00)70675-7
MENZEL DAVID W., 1965, LIMNOL OCEANOGR, V10, P280
Nicholls KH, 1999, CAN J FISH AQUAT SCI, V56, P153, DOI 10.1139/cjfas-56-1-153
Olapade OA, 2006, APPL ENVIRON MICROB, V72, P1932, DOI 10.1128/AEM.72.3.1932-1938.2006
Parsons T.R., 1984, MANUAL CHEM BIOL MET, V1, P173
Patel A, 2007, NAT PROTOC, V2, P269, DOI 10.1038/nprot.2007.6
Pillsbury RW, 2002, J N AM BENTHOL SOC, V21, P238, DOI 10.2307/1468412
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Ricciardi A, 2000, TRENDS ECOL EVOL, V15, P62, DOI 10.1016/S0169-5347(99)01745-0
Roditi HA, 1997, ARCH HYDROBIOL, V140, P207
Rowe MD, 2014, J GREAT LAKES RES, V40, P192, DOI 10.1016/j.jglr.2013.11.005
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SCHNEIDER DW, 1992, CAN J FISH AQUAT SCI, V49, P1406, DOI 10.1139/f92-156
SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
Stankovich WS, CLAD RES MAN GREAT L
Tomlinson LM, 2010, J GREAT LAKES RES, V36, P287, DOI 10.1016/j.jglr.2010.03.005
Vanderploeg HA, 2012, J GREAT LAKES RES, V38, P336, DOI 10.1016/j.jglr.2012.02.005
VanDonk E, 1997, LIMNOL OCEANOGR, V42, P357
Velji MI, 1993, HDB METHODS AQUATIC, P139
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Winters AD, 2011, J GREAT LAKES RES, V37, P318, DOI 10.1016/j.jglr.2011.01.010
Wolcott RD, 2009, BMC MICROBIOL, V9, DOI 10.1186/1471-2180-9-226
Young EB, 2010, J PHYCOL, V46, P93, DOI 10.1111/j.1529-8817.2009.00782.x
Zulkifly SB, 2012, AM J BOT, V99, P1
Zulkifly SB, 2013, J PHYCOL, V49, P1, DOI 10.1111/jpy.12025
NR 55
TC 14
Z9 18
PD JAN
PY 2015
VL 91
IS 1
BP 1
EP 12
DI 10.1093/femsec/fiu001
UT WOS:000352781000001
DA 2025-07-30
ER
PT J
AU Henson, MW
Pitre, DM
Weckhorst, JL
Lanclos, VC
Webber, AT
Thrash, JC
AF Henson, Michael W.
Pitre, David M.
Weckhorst, Jessica Lee
Lanclos, V. Celeste
Webber, Austen T.
Thrash, J. Cameron
TI Artificial Seawater Media Facilitate Cultivating Members of the
Microbial Majority from the Gulf of Mexico
SO MSPHERE
DT Article
AB High-throughput cultivation studies have been successful at bringing numerous important marine bacterioplankton lineages into culture, yet these frequently utilize natural seawater media that can hamper portability, reproducibility, and downstream characterization efforts. Here we report the results of seven experiments with a set of newly developed artificial seawater media and evaluation of cultivation success via comparison with community sequencing data from the inocula. Eighty-two new isolates represent highly important marine clades, including SAR116, OM60/NOR5, SAR92, Roseobacter, and SAR11. For many, isolation with an artificial seawater medium is unprecedented, and several organisms are also the first of their type from the Gulf of Mexico. Community analysis revealed that many isolates were among the 20 most abundant organisms in their source inoculum. This method will expand the accessibility of bacterioplankton cultivation experiments and improve repeatability by avoiding normal compositional changes in natural seawater.
IMPORTANCE The difficulty in cultivating many microbial taxa vexes researchers intent on understanding the contributions of these organisms to natural systems, particularly when these organisms are numerically abundant, and many cultivation attempts recover only rare taxa. Efforts to improve this conundrum with marine bacterioplankton have been successful with natural seawater media, but that approach suffers from a number of drawbacks and there have been no comparable artificial alternatives created in the laboratory. This work demonstrates that a newly developed suite of artificial seawater media can successfully cultivate many of the most abundant taxa from seawater samples and many taxa previously only cultivated with natural seawater media. This methodology therefore significantly simplifies efforts to cultivate bacterioplankton and greatly improves our ability to perform physiological characterization of cultures postisolation.
C1 [Henson, Michael W.; Pitre, David M.; Weckhorst, Jessica Lee; Lanclos, V. Celeste; Webber, Austen T.; Thrash, J. Cameron] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
RP Thrash, JC (corresponding author), Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
EM thrashc@lsu.edu
CR Buerger S, 2012, APPL ENVIRON MICROB, V78, P3229, DOI 10.1128/AEM.07308-11
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Christner BC, 2001, ENVIRON MICROBIOL, V3, P570, DOI 10.1046/j.1462-2920.2001.00226.x
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Dagg M, 2004, CONT SHELF RES, V24, P833, DOI 10.1016/j.csr.2004.02.003
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Han MV, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-356
Ihaka R., 1996, Journal of Computational and Graphical Statistics, V5, P299, DOI DOI 10.1080/10618600.1996.10474713
JUSTIC D, 1995, ESTUAR COAST SHELF S, V40, P339, DOI 10.1016/S0272-7714(05)80014-9
KESTER DR, 1967, LIMNOL OCEANOGR, V12, P176, DOI 10.4319/lo.1967.12.1.0176
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rabalais NN, 1996, ESTUARIES, V19, P386, DOI 10.2307/1352458
Rappé MS, 2013, CURR OPIN MICROBIOL, V16, P618, DOI 10.1016/j.mib.2013.09.009
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 1999, SYST APPL MICROBIOL, V22, P106, DOI 10.1016/S0723-2020(99)80033-2
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Thrash JC., 2015, Holophaga. Bergeys Manual of Systematics of Archaea and Bacteria, P1, DOI [10.1002/9781118960608.gbm00006, DOI 10.1002/9781118960608.GBM00006]
Twilley RR., 1999, Biogeochemistry of Gulf of Mexico Estuaries
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Yang SJ, 2016, MICROB ECOL, V71, P29, DOI 10.1007/s00248-015-0695-3
NR 46
TC 54
Z9 58
PD MAR-APR
PY 2016
VL 1
IS 2
AR e00028-16
DI 10.1128/mSphere.00028-16
UT WOS:000392584700006
DA 2025-07-30
ER
PT J
AU Whittaker, GR
AF Whittaker, Geraint Rhys
TI A song for Pelagibacter. Using creative improvisation as a tool
for novel science communication through the Ocean Science Jam
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Sharing complex oceanic research in an accessible way with the public is being identified by scientific institutions, universities, governmental departments, and NGOs as a critical intervention in promoting better engagement with the sea. Art-science collaborations play an integral role in this. Traditionally, these involve pairing artists and marine scientists to work on a project which is then presented to an audience. Increasingly however more interactive relationships with the public are being seen as a beneficial way to merge art and scientific data. The Ocean Science Jam is such a project that brings musicians, artists, dancers, performers, and the public together to respond creatively in real time to visual and audio cues based on a theme related to marine scientists' work. By mixing creativity with science in an integrative way the Ocean Science Jam not only acts as tool for public communication but also opens new ways for scientific data to be interpreted by non-scientists. This paper will explore this initiative from design to delivery highlighting the results of facilitating with the public moments where new responses to ocean science can be created through art. It will do so by combining the reflections of the creator of the Ocean Science Jam as well as feedback from the scientists and public who have participated. It will argue for the benefits of using improvisation and artistic co-creation for developing moments of embodied oceanic exchange and connection.
C1 [Whittaker, Geraint Rhys] Carl von Ossietzky Univ Oldenburg, Helmholtz Inst Funct Marine Biodivers, HIFMB, Oldenburg, Germany.
[Whittaker, Geraint Rhys] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Bremerhaven, Germany.
RP Whittaker, GR (corresponding author), Carl von Ossietzky Univ Oldenburg, Helmholtz Inst Funct Marine Biodivers, HIFMB, Oldenburg, Germany.; Whittaker, GR (corresponding author), Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Bremerhaven, Germany.
EM geraint.whittaker@hifmb.de
CR Aadland H, 2017, COGENT EDUC, V4, DOI 10.1080/2331186X.2017.1295835
Anjos S, 2021, JCOM-J SCI COMMUN, V20, DOI 10.22323/2.20030211
Ardoin NM, 2020, BIOL CONSERV, V241, DOI 10.1016/j.biocon.2019.108224
Ashley M, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00288
Bates BR, 2019, FRONT COMMUN, V4, DOI 10.3389/fcomm.2019.00037
Ben-Horin O, 2016, COGENT EDUC, V3, DOI 10.1080/2331186X.2016.1248186
Bennett NJ, 2019, COAST MANAGE, V47, P244, DOI 10.1080/08920753.2019.1564958
Bennett NJ, 2017, BIOL CONSERV, V205, P93, DOI 10.1016/j.biocon.2016.10.006
Bertello A, 2022, R&D MANAGE, V52, P178, DOI 10.1111/radm.12456
Bertinetto A, 2020, OPEN PHILOS, V3, P202, DOI 10.1515/opphil-2020-0012
Bertram GW, 2022, ROUTLEDGE HBK PHILOS, P21
Brennan RE, 2018, OCEAN COAST MANAGE, V162, P110, DOI 10.1016/j.ocecoaman.2018.01.036
Bresnahan A, 2015, PHILOS COMPASS, V10, P573, DOI 10.1111/phc3.12251
Cacciatore MA, 2020, SCI COMMUN, V42, P195, DOI 10.1177/1075547020910749
Crowther GJ, 2016, INT J SCI EDUC, V38, P73, DOI 10.1080/09500693.2015.1126001
Dalton K, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.595054
Davies S. R., 2019, The routledge handbook of language and science, P398
Delicado A, 2021, JCOM-J SCI COMMUN, V20, DOI 10.22323/2.20030210
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Deng Q, 2024, SCI COMMUN, V46, P687, DOI 10.1177/10755470241252160
Dupont S, 2017, J MAR BIOL ASSOC UK, V97, P1211, DOI 10.1017/S0025315417000376
Fischhoff B, 2019, P NATL ACAD SCI USA, V116, P7670, DOI 10.1073/pnas.1805863115
Freshwater Helen., 2009, THEATRE AUDIENCE
Gallagher Kathleen., 2010, CAN THEATRE REV, V143, P42, DOI [10.3138/ctr.143.42, DOI 10.3138/CTR.143.42]
Gershon W S., 2014, Int. J. Educ. Arts, V15, P1
Gillam C., 2020, Routledge handbook of environmental journalism, P83
Hecker S., 2018, Citizen science: innovation in open science, society and policy
Hill M., 2022, The new art of old public science communication
Ho-Tassone E, 2023, J GREAT LAKES RES, V49, pS93, DOI 10.1016/j.jglr.2023.03.005
Holdhus K, 2016, COGENT EDUC, V3, DOI 10.1080/2331186X.2016.1204142
Horst M, 2011, SCI CULT-UK, V20, P283, DOI 10.1080/09505431.2010.524199
Hutchins Jessica A, 2020, Curr Protoc Essent Lab Tech, V20, DOI 10.1002/cpet.40
Illingworth S., 2022, Science communication through poetry
Iyer Vijay., 2016, The Oxford Handbook of Critical Improvisation Studies, V1, P74
Jefferson R, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.711245
Jung JL, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.873990
Kelly R, 2022, ONE EARTH, V5, P861, DOI 10.1016/j.oneear.2022.07.007
Kelly R, 2022, REV FISH BIOL FISHER, V32, P123, DOI 10.1007/s11160-020-09625-9
Laffoley D, 2014, MAR POLICY, V45, P259, DOI 10.1016/j.marpol.2013.09.016
Lewis GeorgeE., 2016, The Oxford Handbook of Critical Improvisation Studies, Volume, V1, P1, DOI DOI 10.1093/OXFORDHB/9780195370935.013.26
Matteucci G, 2022, ROUTLEDGE HBK PHILOS, P33
McKinley E, 2023, MAR POLLUT BULL, V186, DOI 10.1016/j.marpolbul.2022.114467
Metcalfe J., 2020, ROUT HANDB LINGUIST, p32 46
Monroe MC, 2019, ENVIRON EDUC RES, V25, P791, DOI 10.1080/13504622.2017.1360842
Moruzzi C, 2022, ROUTLEDGE HBK PHILOS, P47
Nash KL, 2022, REV FISH BIOL FISHER, V32, P19, DOI 10.1007/s11160-020-09629-5
Neimanis A, 2014, J HUM RIGHTS ENVIRON, V5, P5, DOI 10.4337/jhre.2014.01.01
Newton P., 2004, International Journal of Leadership in Education, V7, P83, DOI 10.1080/13603120409510591
Niemann P, 2020, MEDIA COMMUN-LISBON, V8, P177, DOI 10.17645/mac.v8i1.2459
Orthia LA, 2021, JCOM-J SCI COMMUN, V20, DOI 10.22323/2.20030212
Partelow S., 2023, The Ocean Risk and Resilience Action Alliance: The Coastal Risk Index (CRI), V2, P24, DOI [10.1038/s44183-023-0032-8, DOI 10.1038/S44183-023-00032-8]
Paterson SK, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00340
Peters Gary., 2009, PHILOS IMPROVISATION
Peters K, 2019, DIALOGUES HUM GEOGR, V9, P293, DOI 10.1177/2043820619872886
Preston C., 2023, How people learn in informal science environments, V397, P429
Reason M, 2010, DANCE RES J, V42, P49, DOI 10.1017/S0149767700001030
Reddy C., 2023, Science communication in a crisis
Ridgway A., 2019, Scoping report on the science communication ecosystem, DOI [10.5281/zenodo.3607151, DOI 10.5281/ZENODO.3607151]
Rill B., 2018, The Art of Co-Creation: A Guidebook for Practitioners
Rock J, 2018, SCI COMMUN, V40, P541, DOI 10.1177/1075547018781496
Rogers H.S., 2021, Routledge Handbook of Art, Science and Technology Studies, V1st edn, DOI DOI 10.4324/9780429437069
Ross D., 2011, Crit. Stud. Improvisation, V7, DOI [10.21083/csieci.v7i2.1314, DOI 10.21083/CSIECI.V7I2.1314]
Sandu P., 2021, Co-creating in schools through art and science lessons learned in community engagement within the responsible research and innovation Framework, P1
Sawyer K., 2011, Structure and improvisation in creative teaching, P1, DOI [10.1017/cbo9780511997105, DOI 10.1017/CBO9780511997105]
Schnugg C., 2019, CREATING ARTSCIENCE, DOI [DOI 10.1007/978-3-030-04549-4, 10.1007/978-3-030-04549-4]
Schnugg Claudia, 2020, J OPEN INNOV-TECHNOL, V6, DOI [10.3390/joitmc6010006, DOI 10.3390/JOITMC6010006]
Swanzy-Impraim E., 2023, J. Creat., V33, DOI [10.1016/j.yjoc.2023.100054, DOI 10.1016/J.YJOC.2023.100054]
Tang JJ, 2013, SCI COMMUN, V35, P654, DOI 10.1177/1075547012466389
Thaut MH, 2014, FRONT HUM NEUROSCI, V8, DOI 10.3389/fnhum.2014.00395
Walmsley B., 2019, NEW DIRECT CULT POL
Webb GR, 2006, INT J EMERG MANAG, V3, P66, DOI 10.1504/IJEM.2006.010282
Weitkamp E., 2022, Science theatre: communicating science and technology with performing arts, DOI [10.1108/9781800436404, DOI 10.1108/9781800436404]
Whittaker GR, 2024, MAR POLICY, V169, DOI 10.1016/j.marpol.2024.106347
Whittaker GR, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1234776
Whittaker GR, 2022, CULT GEOGR, V29, P611, DOI 10.1177/14744740221076526
NR 75
TC 0
Z9 0
PD NOV 5
PY 2024
VL 11
AR 1430701
DI 10.3389/fmars.2024.1430701
UT WOS:001357846300001
DA 2025-07-30
ER
PT J
AU Mausz, MA
Airs, RL
Dixon, JL
Widdicombe, CE
Tarran, GA
Polimene, L
Dashfield, S
Beale, R
Scanlan, DJ
Chen, Y
AF Mausz, Michaela A.
Airs, Ruth L.
Dixon, Joanna L.
Widdicombe, Claire E.
Tarran, Glen A.
Polimene, Luca
Dashfield, Sarah
Beale, Rachael
Scanlan, David J.
Chen, Yin
TI Microbial uptake dynamics of choline and glycine betaine in coastal
seawater
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Choline and glycine betaine (GBT) are utilized as osmolytes to counteract osmotic stress, but also constitute important nutrient sources for many marine microbes. Bacterial catabolism of these substrates can then lead to the production of climate active trace gases such as methylamine and methane. Using radiotracers, we investigated prokaryotic choline/GBT uptake and determined biotic and abiotic factors driving these processes in the Western English Channel, UK. Kinetic uptake parameters indicated high affinity (nM range) for both osmolytes and showed a seasonal pattern for choline uptake. Generalized linear modeling of uptake parameters suggested a significant influence of sea surface temperature and salinity on prokaryotic uptake of both osmolytes. The presence of diatoms significantly influenced prokaryotic choline/GBT uptake dynamics. Choline uptake was further related to the occurrence of Phaeocystis spp., which were highly abundant in the phytoplankton community during spring, and dinoflagellates abundance during summer. While Rhodobacteraceae were the most important bacterial drivers for prokaryotic choline uptake, prokaryotic GBT uptake was associated with various groups such as SAR11 (Pelagibacterales) and Gammaproteobacteria, suggesting a wider capacity for GBT catabolism than previously recognized. Furthermore, using a newly developed approach we determined the first available data for dissolved GBT concentrations in seawater and found both osmolytes to be at the sub-nanomolar range. Together, this study improves our understanding of the biogeochemical cycling of these environmentally important osmolytes and highlights how their cycles may be affected by a changing climate.
C1 [Mausz, Michaela A.; Scanlan, David J.; Chen, Yin] Univ Warwick, Sch Life Sci, Gibbet Hill Campus, Coventry, Warwick, England.
[Airs, Ruth L.; Dixon, Joanna L.; Widdicombe, Claire E.; Tarran, Glen A.; Polimene, Luca; Dashfield, Sarah; Beale, Rachael] Plymouth Marine Lab, Plymouth, Devon, England.
RP Mausz, MA; Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Gibbet Hill Campus, Coventry, Warwick, England.
EM m.mausz@warwick.ac.uk; y.chen25@warwick.ac.uk
CR ABEE T, 1990, J BACTERIOL, V172, P149, DOI 10.1128/JB.172.1.149-154.1990
Airs RL, 2010, LIMNOL OCEANOGR-METH, V8, P499, DOI 10.4319/lom.2010.8.499
Almeida J, 2013, NATURE, V502, P359, DOI 10.1038/nature12663
Anderson MJ, 2003, ECOLOGY, V84, P511, DOI 10.1890/0012-9658(2003)084[0511:CAOPCA]2.0.CO;2
Beale R, 2016, ANAL CHIM ACTA, V938, P114, DOI 10.1016/j.aca.2016.07.016
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
CSONKA LN, 1991, ANNU REV MICROBIOL, V45, P569, DOI 10.1146/annurev.mi.45.100191.003033
Diallinas G, 2014, FRONT PHARMACOL, V5, DOI 10.3389/fphar.2014.00207
Dixon JL, 2011, ISME J, V5, P704, DOI 10.1038/ismej.2010.169
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Firth E, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000120
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Jameson E, 2019, ISME J, V13, P277, DOI 10.1038/s41396-018-0269-8
Jones HJ, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0732-4
Kageyama H, 2018, PLANT PHYSIOL BIOCH, V127, P248, DOI 10.1016/j.plaphy.2018.03.032
Keller MD, 1999, MAR BIOL, V135, P237, DOI 10.1007/s002270050621
Keller MD, 2004, CAN J FISH AQUAT SCI, V61, P685, DOI 10.1139/F04-058
Kiene RP, 1998, LIMNOL OCEANOGR, V43, P1592, DOI 10.4319/lo.1998.43.7.1592
Kiene RP, 1998, APPL ENVIRON MICROB, V64, P1045
Kiene RP, 1998, AQUAT MICROB ECOL, V15, P39, DOI 10.3354/ame015039
KING GM, 1988, APPL ENVIRON MICROB, V54, P130, DOI 10.1128/AEM.54.1.130-136.1988
Kurth JM, 2020, APPL MICROBIOL BIOT, V104, P6839, DOI 10.1007/s00253-020-10724-7
Lidbury I, 2015, ENVIRON MICROBIOL, V17, P5048, DOI 10.1111/1462-2920.12943
Mausz M.A., 2021, MICROBIAL UPTAKE ACT, DOI 10/gmm3
Mausz MA, 2019, CURR ISSUES MOL BIOL, V33, P133, DOI 10.21775/cimb.033.133
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Quinn PK, 2011, NATURE, V480, P51, DOI 10.1038/nature10580
ROULIER MA, 1990, MAR CHEM, V30, P409, DOI 10.1016/0304-4203(90)90084-P
Sargeant SL, 2016, MAR ECOL PROG SER, V550, P53, DOI 10.3354/meps11705
Schobesberger S, 2013, P NATL ACAD SCI USA, V110, P17223, DOI 10.1073/pnas.1306973110
Smyth TJ, 2010, J PLANKTON RES, V32, P585, DOI 10.1093/plankt/fbp128
Spielmeyer A, 2012, MAR ENVIRON RES, V73, P62, DOI 10.1016/j.marenvres.2011.11.002
Spielmeyer A, 2011, MAR CHEM, V124, P48, DOI 10.1016/j.marchem.2010.12.001
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tarran GA, 2015, PROG OCEANOGR, V137, P446, DOI 10.1016/j.pocean.2015.04.024
Torstensson A, 2019, J PHYCOL, V55, P663, DOI 10.1111/jpy.12839
Wargo MJ, 2008, J BACTERIOL, V190, P2690, DOI 10.1128/JB.01393-07
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
Welsh DT, 2000, FEMS MICROBIOL REV, V24, P263, DOI 10.1111/j.1574-6976.2000.tb00542.x
Widdicombe CE, 2010, J PLANKTON RES, V32, P643, DOI 10.1093/plankt/fbp127
Widdicombe C.E., 2021, PHYTOPLANKTON TAXONO, DOI 10/grks
Woodward E.M.S., 2021, MICROMOLAR NUTR CONC, DOI 10/fxz8
Woodward EMS, 2001, DEEP-SEA RES PT II, V48, P775, DOI 10.1016/S0967-0645(00)00097-7
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
Yancey PH, 2005, J EXP BIOL, V208, P2819, DOI 10.1242/jeb.01730
YANCEY PH, 1982, SCIENCE, V217, P1214, DOI 10.1126/science.7112124
Zecher K, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.533894
NR 50
TC 11
Z9 12
PD MAY
PY 2022
VL 67
IS 5
BP 1052
EP 1064
DI 10.1002/lno.12056
EA MAR 2022
UT WOS:000765257500001
DA 2025-07-30
ER
PT J
AU Manrique, JM
Jones, LR
AF Manrique, Julieta M.
Jones, Leandro R.
TI Are ocean currents to slow to counteract SAR11 evolution? A
next-generation sequencing, phylogeographic analysis (vol 107, pg 324,
2017)
SO MOLECULAR PHYLOGENETICS AND EVOLUTION
DT Correction
C1 Consejo Nacl Invest Cient & Tecn, Av Rivadavia 1917 C1083ACA, Buenos Aires, DF, Argentina.
[Jones, Leandro R.] Univ Nacl Patagonia San Juan Bosco, Fac Ciencias Nat Sede Trelew, Lab Virol & Genet Mol, 9 Julio & Belgrano S-N 9100, Trelew, Chubut, Argentina.
RP Jones, LR (corresponding author), Univ Nacl Patagonia San Juan Bosco, Fac Ciencias Nat Sede Trelew, Lab Virol & Genet Mol, 9 Julio & Belgrano S-N 9100, Trelew, Chubut, Argentina.
EM ljones@conicet.gov.ar
CR Manrique JM, 2017, MOL PHYLOGENET EVOL, V107, P324, DOI 10.1016/j.ympev.2016.11.015
NR 1
TC 0
Z9 0
PD MAY
PY 2017
VL 110
BP 150
EP 150
DI 10.1016/j.ympev.2017.03.001
UT WOS:000398877500015
DA 2025-07-30
ER
PT J
AU Mizuno, CM
Ghai, R
Saghaï, A
López-García, P
Rodriguez-Valera, F
AF Mizuno, Carolina Megumi
Ghai, Rohit
Saghai, Aurelien
Lopez-Garcia, Purificacion
Rodriguez-Valera, Francisco
TI Genomes of Abundant and Widespread Viruses from the Deep Ocean
SO MBIO
DT Article
AB The deep sea is a massive, largely oligotrophic ecosystem, stretched over nearly 65% of the planet's surface. Deep-sea planktonic communities are almost completely dependent upon organic carbon sinking from the productive surface, forming a vital component of global biogeochemical cycles. However, despite their importance, viruses from the deep ocean remain largely unknown. Here, we describe the first complete genomes of deep-sea viruses assembled from metagenomic fosmid libraries. "Candidatus Pelagibacter" (SAR11) phage HTVC010P and Puniceispirillum phage HMO-2011 are considered the most abundant cultured marine viruses known to date. Remarkably, some of the viruses described here recruited as many reads from deep waters as these viruses do in the photic zone, and, considering the gigantic scale of the bathypelagic habitat, these genomes provide information about what could be some of the most abundant viruses in the world at large. Their role in the viral shunt in the global ocean could be very significant. Despite the challenges encountered in inferring the identity of their hosts, we identified one virus predicted to infect members of the globally distributed SAR11 cluster. We also identified a number of putative proviruses from diverse taxa, including deltaproteobacteria, bacteroidetes, SAR11, and gammaproteobacteria. Moreover, our findings also indicate that lysogeny is the preferred mode of existence for deep-sea viruses inhabiting an energy-limited environment, in sharp contrast to the predominantly lytic lifestyle of their photic-zone counterparts. Some of the viruses show a widespread distribution, supporting the tenet "everything is everywhere" for the deep-ocean virome.
IMPORTANCE The deep sea is among the largest known habitats and a critical cog in biogeochemical cycling but remains under-explored in its microbiology. Even more than is the case for its prokaryotic community, our knowledge of its viral component has remained limited by the paucity of information provided by studies dependent upon short sequence fragments. In this work, we attempt to fill this existing gap by using a combination of classical fosmid libraries with next-generation sequencing and assembly to recover long viral genomic fragments. We have sequenced ca. 6,000 fosmids from two metagenomics libraries made from prokaryotic biomass from the deep Mediterranean Sea and recovered twenty-eight complete viral genomes, all of them novel and quite distinct from all previously described viral genomes. They are preferentially found in deeper waters and are widely distributed all over the oceans. To our knowledge, this is the first report on complete and cosmopolitan viral genomes from the bathypelagic habitat.
C1 [Mizuno, Carolina Megumi; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Evolutionary Genom Grp, Alicante, Spain.
[Mizuno, Carolina Megumi] Inst Pasteur, Dept Microbiol, Unit Mol Biol Gene Extremophiles, Paris, France.
[Ghai, Rohit] Acad Sci Czech Republ, Inst Hydrobiol, Dept Aquat Microbial Ecol, Ctr Biol, Ceske Budejovice, Czech Republic.
[Saghai, Aurelien; Lopez-Garcia, Purificacion] Univ Paris 11, CNRS UMR 8079, Unite Ecol Systemat & Evolut, Orsay, France.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Evolutionary Genom Grp, Alicante, Spain.
EM frvalera@umh.es
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Anantharaman K, 2014, SCIENCE, V344, P757, DOI 10.1126/science.1252229
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Bateman A, 2002, NUCLEIC ACIDS RES, V30, P276, DOI [10.1093/nar/gkp985, 10.1093/nar/gkr1065, 10.1093/nar/gkh121]
Brochier-Armanet C, 2011, ISME J, V5, P1291, DOI 10.1038/ismej.2011.16
Broecker W.S., 1991, Oceanography, V4, P79, DOI [DOI 10.5670/OCEANOG.1991.07, 10.5670/oceanog.1991.07]
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Corinaldesi C, 2007, LIMNOL OCEANOGR, V52, P508, DOI 10.4319/lo.2007.52.2.0508
Danovaro R, 2008, NATURE, V454, P1084, DOI 10.1038/nature07268
Danovaro R, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011832
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deschamps P, 2014, GENOME BIOL EVOL, V6, P1549, DOI 10.1093/gbe/evu127
Dupont CL, 2015, ISME J, V9, P1076, DOI 10.1038/ismej.2014.198
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Edwards RA, 2016, FEMS MICROBIOL REV, V40, P258, DOI 10.1093/femsre/fuv048
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Forterre P, 2014, MICROBIOL SPECTR, V2, DOI 10.1128/microbiolspec.PLAS-0027-2014
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Geslin C, 2003, J BACTERIOL, V185, P3888, DOI 10.1128/JB.185.13.3888-3894.2003
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Hurwitz BL, 2015, ISME J, V9, P472, DOI 10.1038/ismej.2014.143
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iyer LM, 2001, J VIROL, V75, P11720, DOI 10.1128/JVI.75.23.11720-11734.2001
Jian HH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041578
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Katoh K, 2014, METHODS MOL BIOL, V1079, P131, DOI 10.1007/978-1-62703-646-7_8
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kristensen DM, 2011, J BACTERIOL, V193, P1806, DOI 10.1128/JB.01311-10
Martin-Cuadrado AB, 2008, ISME J, V2, P865, DOI 10.1038/ismej.2008.40
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martin-Cuadrado AB, 2009, APPL ENVIRON MICROB, V75, P7436, DOI 10.1128/AEM.01283-09
Mizuno CM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00027
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Mizuno CM, 2013, APPL ENVIRON MICROB, V79, P688, DOI 10.1128/AEM.02742-12
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quaiser A, 2008, ENVIRON MICROBIOL, V10, P2704, DOI 10.1111/j.1462-2920.2008.01691.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Santini S, 2013, P NATL ACAD SCI USA, V110, P10800, DOI 10.1073/pnas.1303251110
Söding J, 2005, NUCLEIC ACIDS RES, V33, pW244, DOI 10.1093/nar/gki408
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tatusov RL, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-41
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tidona CA, 2000, VIRUS GENES, V21, P77, DOI 10.1023/A:1008192616923
Van Etten JL, 2002, ARCH VIROL, V147, P1479, DOI 10.1007/s00705-002-0822-6
Weinbauer MG, 2003, LIMNOL OCEANOGR, V48, P1457, DOI 10.4319/lo.2003.48.4.1457
Winter C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100600
Yoshida M, 2015, EXTREMOPHILES, V19, P49, DOI 10.1007/s00792-014-0702-5
Yoshida M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057271
Zerbino DR, 2008, GENOME RES, V18, P821, DOI 10.1101/gr.074492.107
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 56
TC 73
Z9 79
PD JUL-AUG
PY 2016
VL 7
IS 4
AR e00805-16
DI 10.1128/mBio.00805-16
UT WOS:000383440500018
DA 2025-07-30
ER
PT J
AU Morris, RM
Vergin, KL
Cho, JC
Rappé, MS
Carlson, CA
Giovannoni, SJ
AF Morris, RM
Vergin, KL
Cho, JC
Rappé, MS
Carlson, CA
Giovannoni, SJ
TI Temporal and spatial response of bacterioplankton lineages to annual
convective overturn at the Bermuda Atlantic Time-series Study site
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB We used terminal restriction fragment length polymorphism (T-RFLP), clone library, phylogenetic, and bulk nucleic acid hybridization analyses to identify and characterize spatial and temporal patterns in marine bacterioplankton communities at the Bermuda Atlantic Time-series Study (BATS) site. Nonmetric multidimensional scaling of monthly surface and 200-m bacterial 16S rDNA T-RFLP fragments from 1992 to 2002 revealed temporal trends in bacterial community structure in different depth horizons. A 200-m 16S IRNA gene clone library was used to identify fragments increasing in relative abundance following mixing events and to link observed terminal restriction fragments with those predicted from sequence data. T-RFLP fragments matching those of cloned OCS116, SAR11, and marine Actinobacteria rRNA genes exhibited the strongest increases at 200 In following convective overturn, and fragments attributable to SAR11, SAR86, and SAR116 rRNA genes exhibited the strongest increases at the ocean surface during summer time periods. Variability in the distribution and relative abundance of fragments assigned to different SAR11 and SAR86 subclusters was also evident. Quantitative hybridization of extracted 16S IRNA with radiolabeled, taxon-specific oligonucleotide probes provided additional data supporting spatial and temporal patterns of lineage distributions and abundances suggested by ordination. Overall increases in the relative abundance of T-RFLP fragments attributable to the OCS116, SAR11, and marine Actinobacteria clusters following convective overturn suggest that members of these groups may play important roles in dissolved organic carbon dynamics at BATS.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
Inha Univ, Dept Oceanog, Inchon 402751, South Korea.
Univ Hawaii Manoa, Sch Ocean & Environm Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI 96744 USA.
Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
RP Cornell Univ, Dept Microbiol, Ithaca, NY 14851 USA.
EM rm352@cornell.edu
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, DEEP-SEA RES PT II, V43, P491, DOI 10.1016/0967-0645(95)00101-8
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DUCKLOW HW, 1993, DEEP-SEA RES PT II, V40, P753, DOI 10.1016/0967-0645(93)90056-S
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Hansell DA, 2001, DEEP-SEA RES PT II, V48, P1649, DOI 10.1016/S0967-0645(00)00153-3
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
KRUSKAL JB, 1964, PSYCHOMETRIKA, V29, P1, DOI 10.1007/BF02289565
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Mather PM., 1976, Computational methods of multivariate analysis in physical geography
McCune B., 2002, Analysis of Ecological Communities
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 1999, SYST APPL MICROBIOL, V22, P106, DOI 10.1016/S0723-2020(99)80033-2
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
SPRINTALL J, 1992, J GEOPHYS RES-OCEANS, V97, P7305, DOI 10.1029/92JC00407
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Suzuki M, 1998, APPL ENVIRON MICROB, V64, P4522
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Swofford DL. PAUP, 2002, PHYLOGENETIC ANAL US
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2001, BIOTECHNIQUES, V30, P938, DOI 10.2144/01305bm03
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 42
TC 214
Z9 240
PD SEP
PY 2005
VL 50
IS 5
BP 1687
EP 1696
DI 10.4319/lo.2005.50.5.1687
UT WOS:000231932800033
DA 2025-07-30
ER
PT J
AU Labbé, M
Thaler, M
Pitot, TM
Rapp, JZ
Vincent, WF
Culley, A
AF Labbe, Myriam
Thaler, Mary
Pitot, Thomas M.
Rapp, Josephine Z.
Vincent, Warwick F.
Culley, Alexander, I
TI Climate-Endangered Arctic Epishelf Lake Harbors Viral Assemblages with
Distinct Genetic Repertoires
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Viruses are key to understanding polar aquatic ecosystems, which are dominated by microorganisms. However, studies of viral communities are challenging to interpret because the vast majority of viruses are known only from sequence fragments, and their taxonomy, hosts, and genetic repertoires are unknown.
Milne Fiord, located on the coastal margin of the Last Ice Area (LIA) in the High Arctic (82 degrees N, Canada), harbors an epishelf lake, a rare type of ice-dependent ecosystem in which a layer of freshwater overlies marine water connected to the open ocean. This microbe-dominated ecosystem faces catastrophic change due to the deterioration of its ice environment related to warming temperatures. We produced the first assessment of viral abundance, diversity, and distribution in this vulnerable ecosystem and explored the niches available for viral taxa and the functional genes underlying their distribution. We found that the viral community in the freshwater layer was distinct from, and more diverse than, the community in the underlying seawater and contained a different set of putative auxiliary metabolic genes, including the sulfur starvation-linked gene tauD and the gene coding for patatin-like phospholipase. The halocline community resembled the freshwater more than the marine community, but harbored viral taxa unique to this layer. We observed distinct viral assemblages immediately below the halocline, at a depth that was associated with a peak of prasinophyte algae and the viral family Phycodnaviridae. We also assembled 15 complete circular genomes, including a putative Pelagibacter phage with a marine distribution. It appears that despite its isolated and precarious situation, the varied niches in this epishelf lake support a diverse viral community, highlighting the importance of characterizing underexplored microbiota in the Last Ice Area before these ecosystems undergo irreversible change. IMPORTANCE Viruses are key to understanding polar aquatic ecosystems, which are dominated by microorganisms. However, studies of viral communities are challenging to interpret because the vast majority of viruses are known only from sequence fragments, and their taxonomy, hosts, and genetic repertoires are unknown. Our study establishes a basis for comparison that will advance understanding of viral ecology in diverse global environments, particularly in the High Arctic. Rising temperatures in this region mean that researchers have limited time remaining to understand the biodiversity and biogeochemical cycles of ice-dependent environments and the consequences of these rapid, irreversible changes. The case of the Milne Fiord epishelf lake has special urgency because of the rarity of this type of "floating lake" ecosystem and its location in the Last Ice Area, a region of thick sea ice with global importance for conservation efforts.
C1 [Labbe, Myriam; Thaler, Mary; Pitot, Thomas M.; Rapp, Josephine Z.; Culley, Alexander, I] Univ Laval, Dept Biochim Microbiol & Bioinformat, Quebec City, PQ, Canada.
[Labbe, Myriam; Thaler, Mary; Pitot, Thomas M.; Rapp, Josephine Z.; Vincent, Warwick F.; Culley, Alexander, I] Univ Laval, Inst Biol Integrat & Syst IBIS, Quebec City, PQ, Canada.
[Pitot, Thomas M.; Rapp, Josephine Z.; Vincent, Warwick F.; Culley, Alexander, I] Univ Laval, Ctr Etud Nordiques CEN, Quebec City, PQ, Canada.
[Vincent, Warwick F.] Univ Laval, Dept Biol, Quebec City, PQ, Canada.
RP Culley, A (corresponding author), Univ Laval, Dept Biochim Microbiol & Bioinformat, Quebec City, PQ, Canada.; Culley, A (corresponding author), Univ Laval, Inst Biol Integrat & Syst IBIS, Quebec City, PQ, Canada.; Culley, A (corresponding author), Univ Laval, Ctr Etud Nordiques CEN, Quebec City, PQ, Canada.
CR Abergel C, 2015, FEMS MICROBIOL REV, V39, P779, DOI 10.1093/femsre/fuv037
de Cárcer DA, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400127
Aylward FO, 2015, P NATL ACAD SCI USA, V112, P5443, DOI 10.1073/pnas.1502883112
Bairoch A, 2000, NUCLEIC ACIDS RES, V28, P45, DOI 10.1093/nar/28.1.45
Barylski J, 2020, SYST BIOL, V69, P110, DOI 10.1093/sysbio/syz036
Bégin PN, 2017, ARCT SCI, V3, P354, DOI 10.1139/as-2016-0017
Bennike O., 1999, GEOLOGY GREENLAND SU, V183, P57
Bolduc, 2016, MAPPING METAGENOMIC, DOI [10.17504/protocols.io.gv2bw8, DOI 10.17504/PROTOCOLS.IO.GV2BW8]
Bonneau J, 2021, J GEOPHYS RES-OCEANS, V126, DOI 10.1029/2021JC017324
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Brown SP, 2015, FUNGAL ECOL, V13, P221, DOI 10.1016/j.funeco.2014.08.006
Claverie JM, 2018, VIRUSES-BASEL, V10, DOI 10.3390/v10090506
Cobbin JCA, 2021, CURR OPIN VIROL, V51, P1, DOI 10.1016/j.coviro.2021.09.007
Crummett LT, 2016, VIROLOGY, V499, P219, DOI 10.1016/j.virol.2016.09.016
Fancello L, 2013, ISME J, V7, P359, DOI 10.1038/ismej.2012.101
Fischer MG, 2021, CURR ISSUES MOL BIOL, V40, P1, DOI 10.21775/cimb.040.001
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gough J, 2001, J MOL BIOL, V313, P903, DOI 10.1006/jmbi.2001.5080
Gruber-Vodicka HR, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00920-20
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Guo JR, 2021, MICROBIOME, V9, DOI 10.1186/s40168-020-00990-y
Haft DH, 2003, NUCLEIC ACIDS RES, V31, P371, DOI 10.1093/nar/gkg128
Hamilton AK, 2017, CRYOSPHERE, V11, P2189, DOI 10.5194/tc-11-2189-2017
Hatfull GF, 2011, CURR OPIN VIROL, V1, P298, DOI 10.1016/j.coviro.2011.06.009
Headache Classification Committee of the International Headache Society (IHS), 2018, SPECIAL REPORT EMISS, V38, P1
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kieft K, 2021, CELL REP, V36, DOI 10.1016/j.celrep.2021.109471
La Camera S, 2009, MOL PLANT MICROBE IN, V22, P469, DOI 10.1094/MPMI-22-4-0469
Labbé M, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00334-20
Langfelder P, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-559
Laybourn-Parry J, 2013, FRESHWATER BIOL, V58, P1484, DOI 10.1111/fwb.12146
LaybournParry J, 2014, ANTARCTIC LAKES, P1, DOI 10.1093/acprof:oso/9780199670499.001.0001
Levesque AV, 2020, MICROBIOL RESOUR ANN, V9, DOI 10.1128/MRA.01339-19
Lewis TE, 2018, NUCLEIC ACIDS RES, V46, pD435, DOI 10.1093/nar/gkx1069
Lovejoy C, 2007, J PHYCOL, V43, P78, DOI 10.1111/j.1529-8817.2006.00310.x
Madan NJ, 2005, FRESHWATER BIOL, V50, P1291, DOI 10.1111/j.1365-2427.2005.01399.x
Mann NH, 2005, J BACTERIOL, V187, P3188, DOI 10.1128/JB.187.9.3188-3200.2005
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Mortimer CA, 2012, J GEOPHYS RES-EARTH, V117, DOI 10.1029/2011JF002074
Mueller DR, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017931
Mueller JA, 2014, APPL ENVIRON MICROB, V80, P3930, DOI 10.1128/AEM.00245-14
Nasko DJ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03053
Newton R, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF001988
NIMZYK R, 1993, CURR GENET, V23, P265, DOI 10.1007/BF00351505
Norici A, 2005, PHOTOSYNTH RES, V86, P409, DOI 10.1007/s11120-005-3250-0
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Ogata H, 1999, NUCLEIC ACIDS RES, V27, P29, DOI 10.1093/nar/27.1.29
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Palermo CN, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.00197-21
Parikka KJ, 2017, BIOL REV, V92, P1081, DOI 10.1111/brv.12271
Park C, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00692-20
Payet JP, 2013, LIMNOL OCEANOGR, V58, P465, DOI 10.4319/lo.2013.58.2.0465
Pons JC, 2021, BIOINFORMATICS, V37, P1805, DOI 10.1093/bioinformatics/btab026
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rajewicz JS., 2017, THESIS CARLETON U
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
SCHINDLE.DW, 1974, J FISH RES BOARD CAN, V31, P585, DOI 10.1139/f74-092
Shaffer M, 2020, NUCLEIC ACIDS RES, V48, P8883, DOI 10.1093/nar/gkaa621
Shkoporov AN, 2019, CELL HOST MICROBE, V26, P527, DOI 10.1016/j.chom.2019.09.009
Steward GF, 2013, ISME J, V7, P672, DOI 10.1038/ismej.2012.121
Thaler M, 2017, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00275
vanderPloeg JR, 1996, J BACTERIOL, V178, P5438, DOI 10.1128/jb.178.18.5438-5446.1996
Veillette J, 2011, ECOSCIENCE, V18, P304, DOI 10.2980/18-3-3443
Veillette J, 2010, ANN GLACIOL, V51, P56, DOI 10.3189/172756411795931921
Vigneron A, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-00999-x
Vincent W.F., 2012, Ecology of Cyanobacteria II: Their Diversity in Space and Time, P371, DOI DOI 10.1007/978-94-007-3855-3_13
Vincent W.F., 2001, POLAR REC, V37, P133, DOI [10.1017/S0032247400026954, DOI 10.1017/S0032247400026954]
Vincent WF, 2020, SCIENCE, V370, P1031, DOI 10.1126/science.abe4491
Watkins SC, 2016, MAR FRESHWATER RES, V67, P1700, DOI 10.1071/MF15172
Wilson SK, 2018, MOL MICROBIOL, V107, P34, DOI 10.1111/mmi.13871
Wilson WH, 2009, CURR TOP MICROBIOL, V328, P1
Wright SW, 2006, HANDB ENVIRON CHEM, V2, P71, DOI 10.1007/698_2_003
Yamada T, 2006, ADV VIRUS RES, V66, P293, DOI 10.1016/S0065-3527(06)66006-5
Yau S, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11020189
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
NR 77
TC 4
Z9 4
PD SEP 13
PY 2022
VL 88
IS 17
DI 10.1128/aem.00228-22
EA AUG 2022
UT WOS:000846759500001
DA 2025-07-30
ER
PT J
AU Saini, P
Wani, SI
Kumar, R
Chhabra, R
Chimni, SS
Sareen, D
AF Saini, Priya
Wani, Shadil Ibrahim
Kumar, Ranjai
Chhabra, Ravneet
Chimni, Swapandeep Singh
Sareen, Dipti
TI Trigger factor assisted folding of the recombinant epoxide hydrolases
identified from C. pelagibacter and S.
nassauensis (vol 104, pg 71, 2014)
SO PROTEIN EXPRESSION AND PURIFICATION
DT Correction
C1 [Saini, Priya; Wani, Shadil Ibrahim; Kumar, Ranjai; Chhabra, Ravneet; Sareen, Dipti] Panjab Univ, Dept Biochem, Chandigarh 160014, India.
[Chimni, Swapandeep Singh] Guru Nanak Dev Univ, Dept Chem, Amritsar 143005, Punjab, India.
RP Sareen, D (corresponding author), Panjab Univ, Dept Biochem, Sect 14, Chandigarh 160014, India.
EM diptsare@pu.ac.in
CR Saini P, 2014, PROTEIN EXPRES PURIF, V104, P71, DOI 10.1016/j.pep.2014.09.004
NR 1
TC 0
Z9 0
PD AUG
PY 2015
VL 112
BP 50
EP 50
DI 10.1016/j.pep.2014.10.011
UT WOS:000355572200008
DA 2025-07-30
ER
PT J
AU Teira, E
Martínez-García, S
Lonborg, C
Alvarez-Salgado, XA
AF Teira, Eva
Martinez-Garcia, Sandra
Lonborg, Christian
Alvarez-Salgado, Xose A.
TI Growth rates of different phylogenetic bacterioplankton groups in a
coastal upwelling system
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Microbial degradation of dissolved organic matter (DOM) in planktonic ecosystems is carried out by diverse prokaryotic communities, whose growth rates and patterns of DOM utilization modulate carbon and nutrient biogeochemical cycles at local and global scales. Nine dilution experiments (September 2007 to June 2008) were conducted with surface water from the highly productive coastal upwelling system of the R a de Vigo (NW Iberian Peninsula) to estimate bacterial growth rates of six relevant marine bacterial groups: Roseobacter, SAR11, Betaproteobacteria, Gammaproteobacteria, SAR86 and Bacteroidetes. Surprisingly, SAR11 dominated over the other bacterial groups in autumn, likely associated to the entry of nutrient-rich, DOC-poor Eastern North Atlantic Central Water (ENACW) into the embayment. Roseobacter and SAR11 showed significantly opposing growth characteristics. SAR11 consistently grows at low rates (range 0.19-0.71 day(-1)), while Roseobacter has a high growth potential (range 0.70-1.64 day(-1)). In contrast, Betaproteobacteria, Bacteroidetes, SAR86 and Gammaproteobacteria growth rates widely varied among experiments. Regardless of such temporal variability, mean SAR86 growth rate (range 0.1-1.4 day(-1)) was significantly lower than that of Gammaproteobacteria (range 0.3-2.1 day(-1)). Whereas the relative abundance of different bacterial groups showed strong correlations with several environmental variables, group-specific bacterial growth rates did not co-vary with ambient conditions. Our results suggest that different bacterial groups exhibit characteristic growth rates, and, consequently, distinct competitive abilities to succeed under contrasting environmental conditions.
C1 [Teira, Eva; Martinez-Garcia, Sandra] Univ Vigo, Dept Ecol & Biol Anim, Vigo 36310, Spain.
[Lonborg, Christian; Alvarez-Salgado, Xose A.] CSIC, Inst Invest Marinas, Vigo 36208, Spain.
[Lonborg, Christian] Scottish Assoc Marine Sci, Oban PA37 1QA, Argyll, Scotland.
RP Teira, E (corresponding author), Univ Vigo, Dept Ecol & Biol Anim, Vigo 36310, Spain.
EM teira@uvigo.es
CR Abdi H., 2007, ENCY MEASUREMENT STA, P740
Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
ALONSOGUTIERREZ J, 2009, FEMS MICROB IN PRESS
Alvarez-Salgado XA, 2001, LIMNOL OCEANOGR, V46, P135, DOI 10.4319/lo.2001.46.1.0135
Cermeño P, 2006, ESTUAR COAST SHELF S, V67, P251, DOI 10.1016/j.ecss.2005.11.027
Church MJ., 2008, MICROBIAL ECOLOGY OC, P335, DOI DOI 10.1002/9780470281840.CH10
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Faul F, 2007, BEHAV RES METHODS, V39, P175, DOI 10.3758/BF03193146
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC, V2nd, P45, DOI DOI 10.1002/9780470281840.CH3
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gago J, 2005, ESTUAR COAST SHELF S, V65, P74, DOI 10.1016/j.ecss.2005.05.008
Garcés E, 2007, AQUAT MICROB ECOL, V46, P55, DOI 10.3354/ame046055
Gasol JM, 2008, AQUAT MICROB ECOL, V53, P21, DOI 10.3354/ame01230
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Henriques IS, 2004, FEMS MICROBIOL ECOL, V49, P269, DOI 10.1016/j.femsec.2004.04.003
Jürgens K, 1999, APPL ENVIRON MICROB, V65, P1241
Jurgens K., 2008, Microbial Ecology of the Oceans, P383, DOI DOI 10.1002/9780470281840.CH11
Kirchman DL., 2004, OCEAN CARBON CYCLE C, P31, DOI DOI 10.1007/978-1-4020-2087-2_2
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Methe BA, 1998, LIMNOL OCEANOGR, V43, P368, DOI 10.4319/lo.1998.43.2.0368
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Nagata T., 2008, Microbial Ecology of the Oceans, V2nd, P207, DOI [DOI 10.1002/9780470281840.CH7, 10.1002/9780470281840.ch7]
Nieto-Cid M, 2006, LIMNOL OCEANOGR, V51, P1391, DOI 10.4319/lo.2006.51.3.1391
Nogueira E, 1997, ESTUAR COAST SHELF S, V44, P285, DOI 10.1006/ecss.1996.0119
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Simek K, 2006, ENVIRON MICROBIOL, V8, P1613, DOI 10.1111/j.1462-2920.2006.01053.x
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Suzuki MT, 1999, AQUAT MICROB ECOL, V20, P261, DOI 10.3354/ame020261
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Teira E, 2009, AQUAT MICROB ECOL, V55, P131, DOI 10.3354/ame01290
Tilstone GH, 1999, MAR ECOL PROG SER, V183, P13, DOI 10.3354/meps183013
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
NR 59
TC 70
Z9 71
PD DEC
PY 2009
VL 1
IS 6
BP 545
EP 554
DI 10.1111/j.1758-2229.2009.00079.x
UT WOS:000279517400010
DA 2025-07-30
ER
PT J
AU Reisch, CR
Stoudemayer, MJ
Varaljay, VA
Amster, IJ
Moran, MA
Whitman, WB
AF Reisch, Chris R.
Stoudemayer, Melissa J.
Varaljay, Vanessa A.
Amster, I. Jonathan
Moran, Mary Ann
Whitman, William B.
TI Novel pathway for assimilation of dimethylsulphoniopropionate widespread
in marine bacteria
SO NATURE
DT Article
AB Dimethylsulphoniopropionate (DMSP) accounts for up to 10% of carbon fixed by marine phytoplankton in ocean surface waters(1,2), producing an estimated 11.7-103 T mol S per year(3), most of which is processed by marine bacteria through the demethylation/demethiolation pathway(4). This pathway releases methanethiol (MeSH) instead of the climatically active gas dimethylsulphide (DMS) and enables marine microorganisms to assimilate the reduced sulphur(5-7). Despite recognition of this critical microbial transformation for over two decades, the biochemical pathway and enzymes responsible have remained unidentified. Here we show that three new enzymes related to fatty acid beta-oxidation constitute the pathway that assimilates methylmercaptopropionate (MMPA), the first product of DMSP demethylation/demethiolation, and that two previously unknown coenzyme A (CoA) derivatives, 3-methylmercaptopropionyl-CoA (MMPA-CoA) and methylthioacryloyl-CoA (MTA-CoA), are formed as novel intermediates. A member of the marine roseobacters, Ruegeria pomeroyi DSS-3, requires the MMPA-CoA pathway for MMPA assimilation and MeSH production. This pathway and the ability to produce MeSH from MMPA are present in diverse bacteria, and the ubiquitous SAR11 clade bacterium Pelagibacter ubique possesses enzymes for at least the first two steps. Analysis of marine metagenomic data indicates that the pathway is widespread among bacterioplankton in the ocean surface waters, making it one of the most important known routes for acquisition of reduced carbon and sulphur by surface ocean heterotrophs.
C1 [Reisch, Chris R.; Varaljay, Vanessa A.; Whitman, William B.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Stoudemayer, Melissa J.; Amster, I. Jonathan] Univ Georgia, Dept Chem, Athens, GA 30602 USA.
RP Whitman, WB (corresponding author), Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
EM whitman@uga.edu
CR ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
Archer SD, 2001, AQUAT MICROB ECOL, V24, P225, DOI 10.3354/ame024225
BELL RP, 1949, PROC R SOC LON SER-A, V197, P141, DOI 10.1098/rspa.1949.0055
Bentley R, 2004, CHEMOSPHERE, V55, P291, DOI 10.1016/j.chemosphere.2003.12.017
BRETSCHER AP, 1978, J BACTERIOL, V133, P763, DOI 10.1128/JB.133.2.763-768.1978
CHAMBERS ST, 1987, J BACTERIOL, V169, P4845, DOI 10.1128/jb.169.10.4845-4847.1987
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P1099, DOI 10.1111/j.1462-2920.2008.01592.x
DEUTSCH J, 1994, ANAL BIOCHEM, V220, P321, DOI 10.1006/abio.1994.1344
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
GUPTA N K, 1970, Archives of Biochemistry and Biophysics, V141, P632, DOI 10.1016/0003-9861(70)90183-9
HENRIKSEN JR, 2008, THESIS U GEORGIA
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
KEEN NT, 1988, GENE, V70, P191, DOI 10.1016/0378-1119(88)90117-5
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
KIENE RP, 1988, APPL ENVIRON MICROB, V54, P2208, DOI 10.1128/AEM.54.9.2208-2212.1988
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 1996, MAR CHEM, V54, P69, DOI 10.1016/0304-4203(96)00006-0
Koch Arthur L., 1994, P248
Ledyard KM, 1996, LIMNOL OCEANOGR, V41, P33, DOI 10.4319/lo.1996.41.1.0033
Li MZ, 2007, NAT METHODS, V4, P251, DOI 10.1038/NMETH1010
MYERS RW, 1993, J BIOL CHEM, V268, P24785
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schaechter M., 1990, PHYSL BACTERIAL CELL
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
STADTMAN ER, 1957, METHOD ENZYMOL, V3, P931, DOI 10.1016/S0076-6879(57)03481-3
Taylor BF, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P265
TAYLOR BF, 1991, APPL ENVIRON MICROB, V57, P3581, DOI 10.1128/AEM.57.12.3581-3584.1991
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Todd JD, 2011, ENVIRON MICROBIOL, V13, P427, DOI 10.1111/j.1462-2920.2010.02348.x
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
van Duyl FC, 1998, J SEA RES, V40, P221, DOI 10.1016/S1385-1101(98)00024-0
Venkateswaran A, 2000, APPL ENVIRON MICROB, V66, P2620, DOI 10.1128/AEM.66.6.2620-2626.2000
NR 38
TC 123
Z9 143
PD MAY 12
PY 2011
VL 473
IS 7346
BP 208
EP +
DI 10.1038/nature10078
UT WOS:000290487200037
DA 2025-07-30
ER
PT J
AU Bullock, HA
Reisch, CR
Burns, AS
Moran, MA
Whitman, WB
AF Bullock, Hannah A.
Reisch, Chris R.
Burns, Andrew S.
Moran, Mary Ann
Whitman, William B.
TI Regulatory and Functional Diversity of Methylmercaptopropionate Coenzyme
A Ligases from the Dimethylsulfoniopropionate Demethylation Pathway in
Ruegeria pomeroyi DSS-3 and Other Proteobacteria
SO JOURNAL OF BACTERIOLOGY
DT Article
AB The organosulfur compound dimethylsulfoniopropionate (DMSP) is produced by phytoplankton and is ubiquitous in the surface ocean. Once released from phytoplankton, marine bacteria degrade DMSP by either the cleavage pathway to form the volatile gas dimethylsulfide (DMS) or the demethylation pathway, yielding methanethiol (MeSH), which is readily assimilated or oxidized. The enzyme DmdB, a methylmercaptopropionate (MMPA)-coenzyme A (CoA) ligase, catalyzes the second step in the demethylation pathway and is a major regulatory point. The two forms of DmdB present in the marine roseobacter Ruegeria pomeroyi DSS-3, RPO_DmdB1 and RPO_DmdB2, and the single form in the SAR11 clade bacterium "Candidatus Pelagibacter ubique" HTCC1062, PU_DmdB1, were characterized in detail. DmdB enzymes were also examined from Ruegeria lacuscaerulensis ITI-1157, Pseudomonas aeruginosa PAO1, and Burkholderia thailandensis E264. The DmdB enzymes separated into two phylogenetic clades. All enzymes had activity with MMPA and were sensitive to inhibition by salts, but there was no correlation between the clades and substrate specificity or salt sensitivity. All Ruegeria species enzymes were inhibited by physiological concentrations (70 mM) of DMSP. However, ADP reversed the inhibition of RPO_DmdB1, suggesting that this enzyme was responsive to cellular energy charge. MMPA reversed the inhibition of RPO_DmdB2 as well as both R. lacuscaerulensis ITI-1157 DmdB enzymes, suggesting that a complex regulatory system exists in marine bacteria. In contrast, the DmdBs of the non-DMSP-metabolizing P. aeruginosa PAO1 and B. thailandensis E264 were not inhibited by DMSP, suggesting that DMSP inhibition is a specific adaptation of DmdBs from marine bacteria.
C1 [Bullock, Hannah A.; Reisch, Chris R.; Whitman, William B.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Burns, Andrew S.; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Whitman, WB (corresponding author), Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
EM whitman@uga.edu
CR Al-Mjeni F, 2002, BIOCHEMISTRY-US, V41, P6761, DOI 10.1021/bi012209a
ALBE KR, 1990, J THEOR BIOL, V143, P163, DOI 10.1016/S0022-5193(05)80266-8
Albers E, 2009, IUBMB LIFE, V61, P1132, DOI 10.1002/iub.278
ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
[Anonymous], SILICIBACTER LACUSCA
[Anonymous], BIOTECHNOL BIOPROCES
ATKINSON DE, 1968, BIOCHEMISTRY-US, V7, P4030, DOI 10.1021/bi00851a033
Bains J, 2007, J MOL BIOL, V373, P965, DOI 10.1016/j.jmb.2007.08.008
Bennett BD, 2009, NAT CHEM BIOL, V5, P593, DOI 10.1038/nchembio.186
BERGMEYER HU, 1972, FRESEN Z ANAL CHEM, V261, P333, DOI 10.1007/BF00786990
BLACK PN, 1992, J BIOL CHEM, V267, P25513
Black PN, 1997, J BIOL CHEM, V272, P4896, DOI 10.1074/jbc.272.8.4896
Brühl C, 2012, ATMOS CHEM PHYS, V12, P1239, DOI 10.5194/acp-12-1239-2012
Buckstein MH, 2008, J BACTERIOL, V190, P718, DOI 10.1128/JB.01020-07
Caviglia JM, 2004, J BIOL CHEM, V279, P11163, DOI 10.1074/jbc.M311392200
CHAMBERS ST, 1987, J BACTERIOL, V169, P4845, DOI 10.1128/jb.169.10.4845-4847.1987
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Chohnan S, 1997, APPL ENVIRON MICROB, V63, P553, DOI 10.1128/AEM.63.2.553-560.1997
Dai Y, 1999, J BIOL CHEM, V274, P1193, DOI 10.1074/jbc.274.3.1193
Dai Y, 2001, BIOCHEMISTRY-US, V40, P6379, DOI 10.1021/bi010110y
Dong YP, 2012, MICROBIOL RES, V167, P602, DOI 10.1016/j.micres.2012.05.001
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gonzalez JM, 1997, INT J SYST BACTERIOL, V47, P369, DOI 10.1099/00207713-47-2-369
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
GOULD WD, 1992, J GEN MICROBIOL, V138, P217, DOI 10.1099/00221287-138-1-217
Henry CS, 2007, BIOPHYS J, V92, P1792, DOI 10.1529/biophysj.106.093138
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Huang EY, 1997, J BACTERIOL, V179, P5648, DOI 10.1128/jb.179.17.5648-5653.1997
JACKOWSKI S, 1986, J BACTERIOL, V166, P866, DOI 10.1128/jb.166.3.866-871.1986
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kim HS, 2005, BMC GENOMICS, V6, DOI 10.1186/1471-2164-6-174
KUMARI S, 1995, J BACTERIOL, V177, P2878, DOI 10.1128/jb.177.10.2878-2886.1995
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lesser MP, 2006, ANNU REV PHYSIOL, V68, P253, DOI 10.1146/annurev.physiol.68.040104.110001
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
NAGY PL, 1995, J BACTERIOL, V177, P1292, DOI 10.1128/jb.177.5.1292-1298.1995
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Sekowska A, 2004, BMC MICROBIOL, V4, DOI 10.1186/1471-2180-4-9
SHIMIZU S, 1979, ANAL BIOCHEM, V98, P341, DOI 10.1016/0003-2697(79)90151-9
Simó R, 2000, MAR ECOL PROG SER, V203, P1, DOI 10.3354/meps203001
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Steinke M, 1998, MAR ECOL PROG SER, V175, P215, DOI 10.3354/meps175215
Stover CK, 2000, NATURE, V406, P959, DOI 10.1038/35023079
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Trapnell C, 2013, NAT BIOTECHNOL, V31, P46, DOI 10.1038/nbt.2450
Watkins PA, 1998, J BIOL CHEM, V273, P18210, DOI 10.1074/jbc.273.29.18210
Yi H, 2007, INT J SYST EVOL MICR, V57, P815, DOI 10.1099/ijs.0.64568-0
NR 52
TC 19
Z9 22
PD MAR
PY 2014
VL 196
IS 6
BP 1275
EP 1285
DI 10.1128/JB.00026-14
UT WOS:000332628700015
DA 2025-07-30
ER
PT J
AU Nakai, R
AF Nakai, Ryosuke
TI Size Matters: Ultra-small and Filterable Microorganisms in the
Environment
SO MICROBES AND ENVIRONMENTS
DT Review
AB Ultra-small microorganisms are ubiquitous in Earth's environments. Ultramicrobacteria, which are defined as having a cell volume of <0.1 mu m(3), are often numerically dominant in aqueous environments. Cultivated representatives among these bacteria, such as members of the marine SAR11 clade (e.g., "Candidatus Pelagibacter ubique") and freshwater Actinobacteria and Betaproteobacteria, possess highly streamlined, small genomes and unique ecophysiological traits. Many ultramicrobacteria may pass through a 0.2-mu m-pore-sized filter, which is commonly used for filter sterilization in various fields and processes. Cultivation efforts focusing on filterable small microorganisms revealed that filtered fractions contained not only ultramicrocells (i.e., miniaturized cells because of external factors) and ultramicrobacteria, but also slender filamentous bacteria sometimes with pleomorphic cells, including a special reference to members of Oligoflexia, the eighth class of the phylum Proteobacteria. Furthermore, the advent of culture-independent "omics" approaches to filterable microorganisms yielded the existence of candidate phyla radiation (CPR) bacteria (also referred to as "Ca. Patescibacteria") and ultra-small members of DPANN (an acronym of the names of the first phyla included in this superphyla) archaea. Notably, certain groups in CPR and DPANN are predicted to have minimal or few biosynthetic capacities, as reflected by their extremely small genome sizes, or possess no known function. Therefore, filtered fractions contain a greater variety and complexity of microorganisms than previously expected. This review summarizes the broad diversity of overlooked filterable agents remaining in "sterile" (<0.2-mu m filtered) environmental samples.
C1 [Nakai, Ryosuke] Natl Inst Adv Ind Sci & Technol, Appl Mol Microbiol Res Grp, Bioprod Res Inst, 2-17-2-1 Tsukisamu Higashi, Sapporo, Hokkaido 0628517, Japan.
[Nakai, Ryosuke] Natl Inst Adv Ind Sci & Technol, Microbial Ecol & Technol Res Grp, Bioprod Res Inst, 2-17-2-1 Tsukisamu Higashi, Sapporo, Hokkaido 0628517, Japan.
RP Nakai, R (corresponding author), Natl Inst Adv Ind Sci & Technol, Appl Mol Microbiol Res Grp, Bioprod Res Inst, 2-17-2-1 Tsukisamu Higashi, Sapporo, Hokkaido 0628517, Japan.; Nakai, R (corresponding author), Natl Inst Adv Ind Sci & Technol, Microbial Ecol & Technol Res Grp, Bioprod Res Inst, 2-17-2-1 Tsukisamu Higashi, Sapporo, Hokkaido 0628517, Japan.
EM nakai-ryosuke@aist.go.jp
CR ANDERSON JI, 1965, J BACTERIOL, V90, P1713, DOI 10.1128/JB.90.6.1713-1718.1965
Baker BJ, 2010, P NATL ACAD SCI USA, V107, P8806, DOI 10.1073/pnas.0914470107
Brown CT, 2016, NAT BIOTECHNOL, V34, P1256, DOI 10.1038/nbt.3704
Brown CT, 2015, NATURE, V523, P208, DOI 10.1038/nature14486
Castelle CJ, 2018, NAT REV MICROBIOL, V16, P629, DOI 10.1038/s41579-018-0076-2
Chin KJ, 2001, INT J SYST EVOL MICR, V51, P1965, DOI 10.1099/00207713-51-6-1965
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Danczak RE, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0331-1
DeWall MT, 2011, BRIEF FUNCT GENOMICS, V10, P312, DOI 10.1093/bfgp/elr030
Dombrowski N, 2019, FEMS MICROBIOL LETT, V366, DOI 10.1093/femsle/fnz008
Dos Santos PC, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-162
Duda VI, 2012, MICROBIOLOGY+, V81, P379, DOI 10.1134/S0026261712040054
Dudek NK, 2017, CURR BIOL, V27, P3752, DOI 10.1016/j.cub.2017.10.040
Eguchi M, 1996, APPL ENVIRON MICROB, V62, P1287, DOI 10.1128/AEM.62.4.1287-1294.1996
Elsaied HE, 2001, SYST APPL MICROBIOL, V24, P618, DOI 10.1078/0723-2020-00059
Fedotova AV, 2012, MICROBIOLOGY+, V81, P281, DOI 10.1134/S002626171203006X
Feil H, 2005, P NATL ACAD SCI USA, V102, P11064, DOI 10.1073/pnas.0504930102
Folk RL, 1999, SEDIMENT GEOL, V126, P47, DOI 10.1016/S0037-0738(99)00031-7
Geissinger O, 2009, APPL ENVIRON MICROB, V75, P2831, DOI 10.1128/AEM.02697-08
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghuneim LAJ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01971
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Golyshina OV, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00104-7
Gong J, 2014, SYST APPL MICROBIOL, V37, P35, DOI 10.1016/j.syapm.2013.08.007
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hahn MW, 2017, INT J SYST EVOL MICR, V67, P2555, DOI 10.1099/ijsem.0.001965
Hahn MW, 2016, ISME J, V10, P1642, DOI 10.1038/ismej.2015.237
Hahn MW, 2014, INT J SYST EVOL MICR, V64, P3254, DOI 10.1099/ijs.0.065292-0
Hahn MW, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032772
Hahn MW, 2005, APPL ENVIRON MICROB, V71, P766, DOI 10.1128/AEM.71.2.766-773.2005
Hahn MW, 2004, J MICROBIOL METH, V57, P379, DOI 10.1016/j.mimet.2004.02.004
Hahn MW, 2003, APPL ENVIRON MICROB, V69, P1442, DOI 10.1128/AEM.69.3.1442-1451.2003
Haller CM, 2000, FEMS MICROBIOL ECOL, V31, P153, DOI 10.1111/j.1574-6941.2000.tb00680.x
He XS, 2015, P NATL ACAD SCI USA, V112, P244, DOI 10.1073/pnas.1419038112
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Herlemann DPR, 2009, APPL ENVIRON MICROB, V75, P2841, DOI 10.1128/AEM.02698-08
Huber H, 2002, NATURE, V417, P63, DOI 10.1038/417063a
Hug LA, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.48, 10.1038/NMICROBIOL.2016.48]
Janssen PH, 1997, APPL ENVIRON MICROB, V63, P1382, DOI 10.1128/AEM.63.4.1382-1388.1997
Jezberova J, 2010, ENVIRON MICROBIOL, V12, P658, DOI 10.1111/j.1462-2920.2009.02106.x
Jürgens K, 1999, APPL ENVIRON MICROB, V65, P1241
Kang I, 2017, SCI REP-UK, V7, DOI 10.1038/srep42252
Kawasaki K, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.01366-17
Keffer JL, 2015, J BACTERIOL, V197, P2704, DOI 10.1128/JB.00386-15
Kim S, 2019, ISME J, V13, P2252, DOI 10.1038/s41396-019-0432-x
Kuhn E, 2014, APPL ENVIRON MICROB, V80, P3687, DOI 10.1128/AEM.00276-14
Lannes R, 2019, GENOME BIOL EVOL, V11, P1166, DOI 10.1093/gbe/evz050
Levy RV, 2006, ADV BIOCHEM ENG BIOT, V98, P1, DOI 10.1007/b104242
Luef B, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7372
MACDONELL MT, 1982, APPL ENVIRON MICROB, V43, P566, DOI 10.1128/AEM.43.3.566-571.1982
Maejima Y, 2018, BIOSCI BIOTECH BIOCH, V82, P1260, DOI 10.1080/09168451.2018.1456317
Martel J, 2008, P NATL ACAD SCI USA, V105, P5549, DOI 10.1073/pnas.0711744105
Matsuura T, 2011, MINIMAL CELL: THE BIOPHYSICS OF CELL COMPARTMENT AND ORIGIN OF CELL FUNCTIONALITY, P275, DOI 10.1007/978-90-481-9944-0_15
Meincke L, 2012, STAND GENOMIC SCI, V6, P74, DOI 10.4056/sigs.2395367
Metchnikoff E., 1889, Ann Inst Pasteur, V3, P61
Miteva VI, 2005, APPL ENVIRON MICROB, V71, P7806, DOI 10.1128/AEM.71.12.7806-7818.2005
Miyoshi T, 2005, APPL ENVIRON MICROB, V71, P1084, DOI 10.1128/AEM.71.2.1084-1088.2005
Monier JM, 2003, PHYTOPATHOLOGY, V93, P1209, DOI 10.1094/PHYTO.2003.93.10.1209
Moore P.B., 1999, SIZE LIMITS VERY SMA, P16
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Naganuma T, 2007, EXTREMOPHILES, V11, P637, DOI 10.1007/s00792-007-0070-5
Nakai R, 2015, J PHYLOGEN EVOL BIOL, V3, P141
Nakai R, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.00616-16
Nakai R, 2016, STAND GENOMIC SCI, V11, DOI 10.1186/s40793-016-0210-6
Nakai R, 2015, INT J SYST EVOL MICR, V65, P4072, DOI 10.1099/ijsem.0.000541
Nakai R, 2014, INT J SYST EVOL MICR, V64, P3353, DOI 10.1099/ijs.0.060798-0
Nakai R, 2013, ANTARCT SCI, V25, P219, DOI 10.1017/S0954102012000831
Nakai R, 2011, MAR BIOTECHNOL, V13, P900, DOI 10.1007/s10126-010-9351-6
Narasingarao P, 2012, ISME J, V6, P81, DOI 10.1038/ismej.2011.78
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Obayashi Y, 2019, PLANKTON BENTHOS RES, V14, P276, DOI 10.3800/pbr.14.276
Orsi WD, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0047-9
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Pitt A, 2020, INT J SYST EVOL MICR, V70, P1630, DOI 10.1099/ijsem.0.003947
Pitt A, 2019, INT J SYST EVOL MICR, V69, P3946, DOI 10.1099/ijsem.0.003720
Portillo MC, 2013, APPL ENVIRON MICROB, V79, P7610, DOI 10.1128/AEM.02710-13
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Ruch S, 2005, MOL MICROBIOL, V55, P1015, DOI 10.1111/j.1365-2958.2004.04460.x
Sato T, 2019, J GEOGR-TOKYO, V128, P571, DOI 10.5026/jgeography.128.571
Schulz HN, 2001, ANNU REV MICROBIOL, V55, P105, DOI 10.1146/annurev.micro.55.1.105
Schulz HN, 1999, SCIENCE, V284, P493, DOI 10.1126/science.284.5413.493
Schut F, 1997, FEMS MICROBIOL REV, V20, P363, DOI 10.1016/S0168-6445(97)00018-1
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
SHIREY JJ, 1991, APPL ENVIRON MICROB, V57, P2251, DOI 10.1128/AEM.57.8.2251-2254.1991
Sockett RE, 2009, ANNU REV MICROBIOL, V63, P523, DOI 10.1146/annurev.micro.091208.073346
St John E, 2019, SYST APPL MICROBIOL, V42, P94, DOI 10.1016/j.syapm.2018.08.005
Starr EP, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0499-z
Suzina NE, 2011, MICROBIOLOGY+, V80, P535, DOI 10.1134/S0026261711040187
Suzuki K, 2017, J THEOR BIOL, V419, P201, DOI 10.1016/j.jtbi.2017.02.014
Suzuki S, 2017, ISME J, V11, P2584, DOI 10.1038/ismej.2017.111
TORRELLA F, 1981, APPL ENVIRON MICROB, V41, P518, DOI 10.1128/AEM.41.2.518-527.1981
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Vancanneyt M, 2001, INT J SYST EVOL MICR, V51, P73, DOI 10.1099/00207713-51-1-73
Vigneron A, 2020, LIMNOL OCEANOGR LETT, V5, P212, DOI 10.1002/lol2.10132
Wang YY, 2008, ENVIRON SCI TECHNOL, V42, P6749, DOI 10.1021/es800720n
Wang Y, 2007, ENVIRON SCI TECHNOL, V41, P7080, DOI 10.1021/es0707198
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Watanabe K, 2009, FEMS MICROBIOL ECOL, V67, P57, DOI 10.1111/j.1574-6941.2008.00606.x
Watson SP, 1998, J BACTERIOL, V180, P1750, DOI 10.1128/JB.180.7.1750-1758.1998
Wu XQ, 2013, ENVIRON SCI TECHNOL, V47, P807, DOI 10.1021/es303582u
Wurch L, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12115
Xu C, 2016, MATER TODAY, V19, P516, DOI 10.1016/j.mattod.2016.02.020
Zheng H, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.00679-15
Zheng H, 2016, ENVIRON MICROBIOL, V18, P191, DOI 10.1111/1462-2920.12960
Zhu QY, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13443-4
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 115
TC 55
Z9 59
PY 2020
VL 35
IS 2
AR ME20025
DI 10.1264/jsme2.ME20025
UT WOS:000585925800001
DA 2025-07-30
ER
PT J
AU Needham, DM
Sachdeva, R
Fuhrman, JA
AF Needham, David M.
Sachdeva, Rohan
Fuhrman, Jed A.
TI Ecological dynamics and co-occurrence among marine phytoplankton,
bacteria and myoviruses shows microdiversity matters
SO ISME JOURNAL
DT Article
AB Numerous ecological processes, such as bacteriophage infection and phytoplankton-bacterial interactions, often occur via strain-specific mechanisms. Therefore, studying the causes of microbial dynamics should benefit from highly resolving taxonomic characterizations. We sampled daily to weekly over 5 months following a phytoplankton bloom off Southern California and examined the extent of microdiversity, that is, significant variation within 99% sequence similarity clusters, operational taxonomic units (OTUs), of bacteria, archaea, phytoplankton chloroplasts (all via 16S or intergenic spacer (ITS) sequences) and T4-like-myoviruses (via g23 major capsid protein gene sequence). The extent of microdiversity varied between genes (ITS most, g23 least) and only temporally common taxa were highly microdiverse. Overall, 60% of taxa exhibited microdiversity; 59% of these had subtypes that changed significantly as a proportion of the parent taxon, indicating ecologically distinct taxa. Pairwise correlations between prokaryotes and myoviruses or phytoplankton (for example, highly microdiverse Chrysochromulina sp.) improved when using single-base variants. Correlations between myoviruses and SAR11 increased in number (172 vs 9, Spearman > 0.65) and became stronger (0.61 vs 0.58, t-test: P < 0.001) when using SAR11 ITS single-base variants vs OTUs. Whole-community correlation between SAR11 and myoviruses was much improved when using ITS single-base variants vs OTUs, with Mantel rho = 0.49 vs 0.27; these results are consistent with strain-specific interactions. Mantel correlations suggested > 1 mu m (attached/large) prokaryotes are a major myovirus source. Consideration of microdiversity improved observation of apparent host and virus networks, and provided insights into the ecological and evolutionary factors influencing the success of lineages, with important implications to ecosystem resilience and microbial function.
C1 [Needham, David M.; Sachdeva, Rohan; Fuhrman, Jed A.] Univ Soouthern Calif, Dept Biol Sci, 3616 Trousdale Pkwy,AHF 107, Los Angeles, CA 90089 USA.
RP Fuhrman, JA (corresponding author), Univ Soouthern Calif, Dept Biol Sci, 3616 Trousdale Pkwy,AHF 107, Los Angeles, CA 90089 USA.
EM fuhrman@usc.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
[Anonymous], 2015, LANG ENV STAT COMP
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Bettarel Y, 2015, FEMS MICROBIOL LETT, V363, P1
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Brown CT, 2015, NAT BIOTECHNOL, V33, P1041, DOI 10.1038/nbt.3375
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Chow CET, 2012, ENVIRON MICROBIOL, V14, P2171, DOI 10.1111/j.1462-2920.2012.02744.x
Deng L, 2014, NATURE, V513, P242, DOI 10.1038/nature13459
Ducklow Hugh W., 2001, Oceanography, V14, P50
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
Eren AM, 2014, P NATL ACAD SCI USA, V111, pE2875, DOI 10.1073/pnas.1409644111
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Filée J, 2005, P NATL ACAD SCI USA, V102, P12471, DOI 10.1073/pnas.0503404102
Fuhrman J. A., 2016, MANUAL ENV MICROBIOL, V4, P2
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Goldsmith DB, 2015, AQUAT MICROB ECOL, V76, P85, DOI 10.3354/ame01768
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Holmfeldt K, 2014, ENVIRON MICROBIOL, V16, P2501, DOI 10.1111/1462-2920.12391
Howard-Varona C, 2017, ISME J, V11, P284, DOI 10.1038/ismej.2016.81
Ignacio-Espinoza JC, 2012, ENVIRON MICROBIOL, V14, P2113, DOI 10.1111/j.1462-2920.2012.02704.x
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Lu HP, 2016, ISME J, V10, P2867, DOI 10.1038/ismej.2016.78
Luo HW, 2014, ENV MICROBIOL REP, V6, P167, DOI 10.1111/1758-2229.12129
Marston MF, 2012, P NATL ACAD SCI USA, V109, P4544, DOI 10.1073/pnas.1120310109
Marston MF, 2009, ENVIRON MICROBIOL, V11, P2893, DOI 10.1111/j.1462-2920.2009.02037.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Newton RJ, 2015, MBIO, V6, DOI 10.1128/mBio.02574-14
Nolan JM, 2006, VIROL J, V3, DOI 10.1186/1743-422X-3-30
Pagarete A, 2013, APPL ENVIRON MICROB, V79, P6253, DOI 10.1128/AEM.01075-13
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Petrov VM, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-292
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Preheim SP, 2013, APPL ENVIRON MICROB, V79, P6593, DOI 10.1128/AEM.00342-13
Reveillaud J, 2014, ISME J, V8, P1198, DOI 10.1038/ismej.2013.227
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Riemann L, 2008, MICROB ECOL, V56, P505, DOI 10.1007/s00248-008-9369-8
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodriguez-Brito B, 2010, ISME J, V4, P739, DOI 10.1038/ismej.2010.1
Roger F, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0045007
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sjöqvist CO, 2016, ISME J, V10, P2755, DOI 10.1038/ismej.2016.44
Storey JD, 2003, P NATL ACAD SCI USA, V100, P9440, DOI 10.1073/pnas.1530509100
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tesson SVM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0114984
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thompson AW, 2012, SCIENCE, V337, P1546, DOI 10.1126/science.1222700
Tikhonov M, 2015, ISME J, V9, P68, DOI 10.1038/ismej.2014.117
Tully BJ, 2012, ENVIRON MICROBIOL, V14, P254, DOI 10.1111/j.1462-2920.2011.02628.x
Turlapati SA, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00049
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang Dapeng, 2010, Genomics Proteomics & Bioinformatics, V8, P77, DOI 10.1016/S1672-0229(10)60008-3
Xia LC, 2013, BIOINFORMATICS, V29, P230, DOI 10.1093/bioinformatics/bts668
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 77
TC 139
Z9 158
PD JUL
PY 2017
VL 11
IS 7
BP 1614
EP 1629
DI 10.1038/ismej.2017.29
UT WOS:000403675200010
DA 2025-07-30
ER
PT J
AU Jackson, CR
Millar, JJ
Payne, JT
Ochs, CA
AF Jackson, Colin R.
Millar, Justin J.
Payne, Jason T.
Ochs, Clifford A.
TI Free-Living and Particle-Associated Bacterioplankton in Large Rivers of
the Mississippi River Basin Demonstrate Biogeographic Patterns
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The different drainage basins of large rivers such as the Mississippi River represent interesting systems in which to study patterns in freshwater microbial biogeography. Spatial variability in bacterioplankton communities in six major rivers (the Upper Mississippi, Missouri, Illinois, Ohio, Tennessee, and Arkansas) of the Mississippi River Basin was characterized using Ion Torrent 16S rRNA amplicon sequencing. When all systems were combined, particle-associated (> 3 mu m) bacterial assemblages were found to be different from free-living bacterioplankton in terms of overall community structure, partly because of differences in the proportional abundance of sequences affiliated with major bacterial lineages (Alphaproteobacteria, Cyanobacteria, and Planctomycetes). Both particle-associated and free-living communities ordinated by river system, a pattern that was apparent even after rare sequences or those affiliated with Cyanobacteria were removed from the analyses. Ordination of samples by river system correlated with environmental characteristics of each river, such as nutrient status and turbidity. Communities in the Upper Mississippi and the Missouri and in the Ohio and the Tennessee, pairs of rivers that join each other, contained similar taxa in terms of presence-absence data but differed in the proportional abundance of major lineages. The most common sequence types detected in particle-associated communities were picocyanobacteria in the Synechococcus/Prochlorococcus/Cyanobium (Syn/Pro) clade, while free-living communities also contained a high proportion of LD12 (SAR11/Pelagibacter)-like Alphaproteobacteria. This research shows that while different tributaries of large river systems such as the Mississippi River harbor distinct bacterioplankton communities, there is also microhabitat variation such as that between free-living and particle-associated assemblages.
C1 [Jackson, Colin R.; Millar, Justin J.; Payne, Jason T.; Ochs, Clifford A.] Univ Mississippi, Dept Biol, University, MS 38677 USA.
RP Jackson, CR (corresponding author), Univ Mississippi, Dept Biol, University, MS 38677 USA.
EM cjackson@olemiss.edu
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Alexander RB, 2008, ENVIRON SCI TECHNOL, V42, P822, DOI 10.1021/es0716103
[Anonymous], 2008, MISS RIV WAT QUAL CL, DOI DOI 10.17226/12051
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Besemer K, 2005, APPL ENVIRON MICROB, V71, P609, DOI 10.1128/AEM.71.2.609-620.2005
Besemer K, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1760
BIDLE KD, 1995, APPL ENVIRON MICROB, V61, P944, DOI 10.1128/AEM.61.3.944-952.1995
Brown AV., 2005, RIVER N AM, P230
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Cole JJ, 2007, ECOSYSTEMS, V10, P171, DOI 10.1007/s10021-006-9013-8
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
David MB, 2000, J ENVIRON QUAL, V29, P494, DOI 10.2134/jeq2000.00472425002900020018x
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Dolan JR, 2005, AQUAT MICROB ECOL, V41, P39, DOI 10.3354/ame041039
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Gihring TM, 2012, ENVIRON MICROBIOL, V14, P285, DOI 10.1111/j.1462-2920.2011.02550.x
Hewson I, 2006, MAR ECOL PROG SER, V311, P67, DOI 10.3354/meps311067
Jackson CR, 2008, APPL ENVIRON MICROB, V74, P5237, DOI 10.1128/AEM.00923-08
Jackson CR, 2011, MICROB ECOL, V61, P113, DOI 10.1007/s00248-010-9742-2
Jackson CR, 2001, ENVIRON MICROBIOL, V3, P532, DOI 10.1046/j.1462-2920.2001.00221.x
Liu ZZ, 2007, NUCLEIC ACIDS RES, V35, DOI 10.1093/nar/gkm541
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Long RA, 2001, AQUAT MICROB ECOL, V26, P103, DOI 10.3354/ame026103
Lozupone C, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-371
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Luef B, 2007, FRESHWATER BIOL, V52, P1043, DOI 10.1111/j.1365-2427.2007.01752.x
Lundin D, 2012, ENV MICROBIOL REP, V4, P367, DOI 10.1111/j.1758-2229.2012.00345.x
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McIsaac GF, 2001, NATURE, V414, P166, DOI 10.1038/35102672
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Ochs CA, 2010, HYDROBIOLOGIA, V637, P19, DOI 10.1007/s10750-009-9981-8
Ovreas L, 1997, APPL ENVIRON MICROB, V63, P3367
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Sánchez-Baracaldo P, 2005, GEOBIOLOGY, V3, P145, DOI 10.1111/j.1472-4669.2005.00050.x
Schloss PD, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027310
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stein LY, 2002, FEMS MICROBIOL ECOL, V42, P431, DOI 10.1111/j.1574-6941.2002.tb01032.x
Turner RE, 2004, HYDROBIOLOGIA, V511, P79, DOI 10.1023/B:HYDR.0000014031.12067.1a
Turner RE, 2003, BIOSCIENCE, V53, P563, DOI 10.1641/0006-3568(2003)053[0563:LLAWQI]2.0.CO;2
Urbach E, 2007, HYDROBIOLOGIA, V574, P161, DOI 10.1007/s10750-006-0351-5
Wetzel R.G., 2000, Composition and biomass of phytoplankton, V3rd
Winter C, 2007, APPL ENVIRON MICROB, V73, P421, DOI 10.1128/AEM.01849-06
Yergeau E, 2012, APPL ENVIRON MICROB, V78, P7626, DOI 10.1128/AEM.02036-12
Yue JC, 2005, COMMUN STAT-THEOR M, V34, P2123, DOI 10.1080/STA-200066418
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 54
TC 52
Z9 64
PD DEC
PY 2014
VL 80
IS 23
BP 7186
EP 7195
DI 10.1128/AEM.01844-14
UT WOS:000344163700008
DA 2025-07-30
ER
PT J
AU Reza, MS
Kobiyama, A
Yamada, Y
Ikeda, Y
Ikeda, D
Mizusawa, N
Ikeo, K
Sato, S
Ogata, T
Jimbo, M
Kudo, T
Kaga, S
Watanabe, S
Naiki, K
Kaga, Y
Mineta, K
Bajic, V
Gojobori, T
Watabe, S
AF Reza, Md Shaheed
Kobiyama, Atsushi
Yamada, Yuichiro
Ikeda, Yuri
Ikeda, Daisuke
Mizusawa, Nanami
Ikeo, Kazuho
Sato, Shigeru
Ogata, Takehiko
Jimbo, Mitsuru
Kudo, Toshiaki
Kaga, Shinnosuke
Watanabe, Shiho
Naiki, Kimiaki
Kaga, Yoshimasa
Mineta, Katsuhiko
Bajic, Vladimir
Gojobori, Takashi
Watabe, Shugo
TI Taxonomic profiles in metagenomic analyses of free-living microbial
communities in the Ofunato Bay
SO GENE
DT Article
AB The Ofunato Bay in Iwate Prefecture, Japan is a deep coastal bay located at the center of the Sanriku Rias Coast and considered an economically and environmentally important asset. Here, we describe the first whole genome sequencing (WGS) study on the microbial community of the bay, where surface water samples were collected from three stations along its length to cover the entire bay; we preliminarily sequenced a 0.2 pm filter fraction among sequentially size-fractionated samples of 20.0, 5.0, 0.8 and 0.2 pm filters, targeting the free-living fraction only. From the 0.27-0.34 Gb WGS library, 0.9 x 10(6)-1.2 x 10(6) reads from three sampling stations revealed 29 bacterial phyla (similar to 80% of assigned reads), 3 archaeal phyla (similar to 4%) and 59 eukaryotic phyla (similar to 15%). Microbial diversity obtained from the WGS approach was compared with 16S rRNA gene results by mining WGS metagenomes, and we found similar estimates. The most frequently recovered bacterial sequences were Proteobacteria, predominantly comprised of 18.0-19.6% Planktomarina (Family Rhodobacteraceae) and 13.7-17.5% Candidatus Pelagibacter (Family Pelagibacterales). Other dominant bacterial genera, including Polaribacter (3.5-6.1%), Flavobacterium (1.8-2.6%), Sphingobacterium (1.4-1.6%) and Cellulophaga (1.4-2.0%), were members of Bacteroidetes and likely associated with the degradation and turnover of organic matter. The Marine Group I Archaea Nitrosopumilus was also detected. Remarkably, eukaryotic green alga Bathycoccus, Ostreococcus and Micromonas accounted for 8.8 15.2%, 3.6 4.9% and 2.1-3.1% of total read counts, respectively, highlighting their potential roles in the phytoplankton bloom after winter mixing.
C1 [Reza, Md Shaheed; Kobiyama, Atsushi; Yamada, Yuichiro; Ikeda, Yuri; Ikeda, Daisuke; Mizusawa, Nanami; Ikeo, Kazuho; Sato, Shigeru; Ogata, Takehiko; Jimbo, Mitsuru; Kudo, Toshiaki; Watabe, Shugo] Kitasato Univ, Sch Marine Biosci, Minami Ku, Sagamihara, Kanagawa 2520373, Japan.
[Kaga, Shinnosuke; Watanabe, Shiho; Naiki, Kimiaki; Kaga, Yoshimasa] Iwate Fisheries Technol Ctr, Kamaishi, Iwate 0260001, Japan.
[Mineta, Katsuhiko; Bajic, Vladimir; Gojobori, Takashi] KAUST, Computat Biosci Res Ctr, Thuwal 239556900, Saudi Arabia.
[Reza, Md Shaheed] Bangladesh Agr Univ, Dept Fisheries Technol, Mymensingh 2202, Bangladesh.
[Ikeo, Kazuho] Natl Inst Genet, Mishima, Shizuoka 4118540, Japan.
[Kaga, Shinnosuke] Iwate Prefectural Govt, Ofunato Fisheries Promot Ctr, Ofunato, Iwate 0228502, Japan.
RP Gojobori, T (corresponding author), King Abdullah Univ Sci & Technol, Biol & Environm Sci & Engn, Computat Biosci Res Ctr, Thuwal 239556900, Saudi Arabia.; Watabe, S (corresponding author), Kitasato Univ, Sch Marine Biosci, Dept Marine Biochem, Minami Ku, Sagamihara, Kanagawa 2520373, Japan.
EM takashi.gojobori@kaust.edu.sa; swatabe@kitasato-u.ac.jp
CR Acinas SG, 2005, APPL ENVIRON MICROB, V71, P8966, DOI 10.1128/AEM.71.12.8966-8969.2005
Allen LAH, 2003, MICROBES INFECT, V5, P1329, DOI 10.1016/j.micinf.2003.09.011
Alves JMP, 2013, GENOME BIOL EVOL, V5, P338, DOI 10.1093/gbe/evt012
Alves JMP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023518
[Anonymous], 1994, B COAST OCEANOGR
[Anonymous], RED TIDES
Baer ML, 2004, INT J SYST EVOL MICR, V54, P1011, DOI 10.1099/ijs.0.02458-0
Baer ML, 2000, INT J SYST EVOL MICR, V50, P219, DOI 10.1099/00207713-50-1-219
BAUMANN L, 1972, J BACTERIOL, V110, P402, DOI 10.1128/JB.110.1.402-429.1972
Baumann P, 2000, PROKARYOTES
Bebeacua C, 2013, J VIROL, V87, P1061, DOI 10.1128/JVI.02836-12
Billerbeck S, 2015, INT J SYST EVOL MICR, V65, P1967, DOI 10.1099/ijs.0.000205
Breitschwerdt EB, 2000, CLIN MICROBIOL REV, V13, P428, DOI 10.1128/CMR.13.3.428-438.2000
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brown BL, 2015, STAND GENOMIC SCI, V10, DOI 10.1186/s40793-015-0062-5
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Clerissi C, 2015, ENV MICROBIOL REP, V7, P979, DOI 10.1111/1758-2229.12345
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Cyranoski D, 2012, NATURE, V483, P141, DOI 10.1038/483141a
de Souza W, 1999, FEMS MICROBIOL LETT, V173, P1, DOI 10.1111/j.1574-6968.1999.tb13477.x
Debroas D, 2009, ENVIRON MICROBIOL, V11, P2412, DOI 10.1111/j.1462-2920.2009.01969.x
Dehio C, 2004, J CLIN MICROBIOL, V42, P5320, DOI 10.1128/JCM.42.11.5320-5323.2004
Dugan JE, 2011, TREATISE ON ESTUARINE AND COASTAL SCIENCE, VOL 8: HUMAN-INDUCED PROBLEMS (USES AND ABUSES), P17
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Fukui Y, 2013, INT J SYST EVOL MICR, V63, P1665, DOI 10.1099/ijs.0.041434-0
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghai R, 2012, SCI REP-UK, V2, DOI 10.1038/srep00490
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Gosink JJ, 1998, INT J SYST BACTERIOL, V48, P223, DOI 10.1099/00207713-48-1-223
Gosink JJ, 1997, SYST APPL MICROBIOL, V20, P356, DOI 10.1016/S0723-2020(97)80003-3
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P2946, DOI 10.1099/ijs.0.022384-0
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P2002, DOI 10.1099/ijs.0.005801-0
Haney PJ, 1999, P NATL ACAD SCI USA, V96, P3578, DOI 10.1073/pnas.96.7.3578
Hayakawa Y, 2001, ICES J MAR SCI, V58, P435, DOI 10.1006/jmsc.2000.1036
Hicks CL, 2000, AUST VET J, V78, P193, DOI 10.1111/j.1751-0813.2000.tb10593.x
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Ishizaka Joji, 1998, Journal of Oceanography, V54, P553, DOI 10.1007/BF02742457
Japan Aerospace Exploration Agency JAXA, 2004, IM DAT SEEN SPAC JAP
Jerris RC, 1996, ANNU REV MICROBIOL, V50, P707, DOI 10.1146/annurev.micro.50.1.707
Jordaan K, 2013, WATER SA, V39, P385, DOI 10.4314/wsa.v39i3.7
Kim D, 2007, INT J SYST EVOL MICR, V57, P2926, DOI 10.1099/ijs.0.65257-0
Kleppen HP, 2012, APPL ENVIRON MICROB, V78, P7299, DOI 10.1128/AEM.00031-12
Komatsu T., 2012, SUSTAINABLE DEV ED B, P145, DOI [10.5772/26613., DOI 10.5772/26613]
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kunin V, 2008, MICROBIOL MOL BIOL R, V72, P557, DOI 10.1128/MMBR.00009-08
Lavigne R, 2009, BMC MICROBIOL, V9, DOI 10.1186/1471-2180-9-224
LI WKW, 1993, DEEP-SEA RES PT II, V40, P307, DOI 10.1016/0967-0645(93)90019-J
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Marin B, 2010, PROTIST, V161, P304, DOI 10.1016/j.protis.2009.10.002
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Miller WG, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0001358
MUNSON MA, 1991, J BACTERIOL, V173, P6321, DOI 10.1128/jb.173.20.6321-6324.1991
Nakabachi A, 2005, P NATL ACAD SCI USA, V102, P5477, DOI 10.1073/pnas.0409034102
Natsuike M, 2014, HARMFUL ALGAE, V39, P271, DOI 10.1016/j.hal.2014.08.002
Nealson KH, 2003, PROKARYOTES EVOLVING
OGATA T, 1982, B JPN SOC SCI FISH, V48, P563
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Park BJ, 2010, APPL ENVIRON MICROB, V76, P7575, DOI 10.1128/AEM.01478-10
Pfister CA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010518
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sakami T, 2016, GENE, V576, P610, DOI 10.1016/j.gene.2015.10.011
SAKAMOTO S, 1992, MAR ECOL PROG SER, V89, P229, DOI 10.3354/meps089229
Samuel BS, 2007, P NATL ACAD SCI USA, V104, P10643, DOI 10.1073/pnas.0704189104
Sato S, 2012, COMP IMMUNOL MICROB, V35, P575, DOI 10.1016/j.cimid.2012.07.001
Schleper C, 2005, NAT REV MICROBIOL, V3, P479, DOI 10.1038/nrmicro1159
Segawa T, 2011, POLAR SCI, V5, P41, DOI 10.1016/j.polar.2010.12.002
Sekiguchi K., 1989, P399
Sellner KG, 2003, J IND MICROBIOL BIOT, V30, P383, DOI 10.1007/s10295-003-0074-9
Shah N, 2011, BIOCOMPUT-PAC SYM, P165
SHIBA T, 1991, SYST APPL MICROBIOL, V14, P140, DOI 10.1016/S0723-2020(11)80292-4
Shigenobu S, 2000, NATURE, V407, P81, DOI 10.1038/35024074
Sullivan JT, 2006, J BACTERIOL, V188, P3785, DOI 10.1128/JB.00027-06
Temperton B, 2009, ISME J, V3, P792, DOI 10.1038/ismej.2009.32
Treusch AH, 2012, ISME J, V6, P481, DOI 10.1038/ismej.2011.117
Vaulot D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039648
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Verhamme DT, 2011, ISME J, V5, P1067, DOI 10.1038/ismej.2010.191
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
von Richthofen F, 1886, FURHER FORSCHUNGSREI, P308
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Worden AZ, 2004, LIMNOL OCEANOGR, V49, P168, DOI 10.4319/lo.2004.49.1.0168
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yamada Y, 2012, PROGRAM ABSTRACTS PI, P146
Yamada Y, 2017, J OCEANOGR, V73, P11, DOI 10.1007/s10872-015-0336-y
NR 94
TC 10
Z9 10
PD JUL 30
PY 2018
VL 665
BP 192
EP 200
DI 10.1016/j.gene.2018.04.075
UT WOS:000435621900024
DA 2025-07-30
ER
PT J
AU [Anonymous]
AF [Anonymous]
TI SAR11 clade microdiversity and activity during the early spring blooms
off Kerguelen Island, Southern Ocean (vol 14, pg 907, 2022)
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Correction
CR Dinasquet J, 2022, ENV MICROBIOL REP, V14, P907, DOI 10.1111/1758-2229.13117
NR 1
TC 0
Z9 0
PD JUN
PY 2023
VL 15
IS 3
BP 239
EP 239
DI 10.1111/1758-2229.13151
EA APR 2023
UT WOS:000978817600001
DA 2025-07-30
ER
PT J
AU Paver, SF
Muratore, D
Newton, RJ
Coleman, ML
AF Paver, Sara F.
Muratore, Daniel
Newton, Ryan J.
Coleman, Maureen L.
TI Reevaluating the Salty Divide: Phylogenetic Specificity of Transitions
between Marine and Freshwater Systems
SO MSYSTEMS
DT Article
AB Marine and freshwater microbial communities are phylogenetically distinct, and transitions between habitat types are thought to be infrequent. We compared the phylogenetic diversity of marine and freshwater microorganisms and identified specific lineages exhibiting notably high or low similarity between marine and freshwater ecosystems using a meta-analysis of 16S rRNA gene tag-sequencing data sets. As expected, marine and freshwater microbial communities differed in the relative abundance of major phyla and contained habitat-specific lineages. At the same time, and contrary to expectations, many shared taxa were observed in both habitats. Based on several metrics, we found that Gammaproteobacteria, Alphaproteobacteria, Bacteroidetes, and Betaproteobacteria contained the highest number of closely related marine and freshwater sequences, suggesting comparatively recent habitat transitions in these groups. Using the abundant alphaproteobacterial group SAR11 as an example, we found evidence that new lineages, beyond the recognized LD12 Glade, are detected in freshwater at low but reproducible abundances; this evidence extends beyond the 16S rRNA locus to core genes throughout the genome. Our results suggest that shared taxa are numerous, but tend to occur sporadically and at low relative abundance in one habitat type, leading to an underestimation of transition frequency between marine and freshwater habitats. Rare taxa with abundances near or below detection, including lineages that appear to have crossed the salty divide relatively recently, may possess adaptations enabling them to exploit opportunities for niche expansion when environments are disturbed or conditions change.
IMPORTANCE The distribution of microbial diversity across environments yields insight into processes that create and maintain this diversity as well as potential to infer how communities will respond to future environmental changes. We integrated data sets from dozens of freshwater lake and marine samples to compare diversity across open water habitats differing in salinity. Our novel combination of sequence-based approaches revealed lineages that likely experienced a recent transition across habitat types. These taxa are promising targets for studying physiological constraints on salinity tolerance. Our findings contribute to understanding the ecological and evolutionary controls on microbial distributions, and open up new questions regarding the plasticity and adaptability of particular lineages.
C1 [Paver, Sara F.; Muratore, Daniel; Coleman, Maureen L.] Univ Chicago, Dept Geophys Sci, 5734 S Ellis Ave, Chicago, IL 60637 USA.
[Newton, Ryan J.] Univ Wisconsin, Sch Freshwater Sci, Milwaukee, WI 53201 USA.
RP Coleman, ML (corresponding author), Univ Chicago, Dept Geophys Sci, 5734 S Ellis Ave, Chicago, IL 60637 USA.
EM mlcoleman@uchicago.edu
CR Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Barberán A, 2010, AQUAT MICROB ECOL, V59, P1, DOI 10.3354/ame01389
Bardavid RE, 2012, EXTREMOPHILES, V16, P787, DOI 10.1007/s00792-012-0476-6
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Benson Dennis A, 2006, Nucleic Acids Res, V34, pD16
Bootsma H.A., 2018, Limnol. Oceanogr. Bull, V27, P87, DOI [10.1002/lob.10230, DOI 10.1002/LOB.10230]
Brindefalk B, 2016, ENVIRON MICROBIOL, V18, P4442, DOI 10.1111/1462-2920.13407
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Chen J, 2012, BIOINFORMATICS, V28, P2106, DOI 10.1093/bioinformatics/bts342
COLE JJ, 1982, ANNU REV ECOL SYST, V13, P291, DOI 10.1146/annurev.es.13.110182.001451
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Eiler A, 2014, ENVIRON MICROBIOL, V16, P2682, DOI 10.1111/1462-2920.12301
Elena SF, 2003, NAT REV GENET, V4, P457, DOI 10.1038/nrg1088
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
Grossart HP, 2010, ENV MICROBIOL REP, V2, P706, DOI 10.1111/j.1758-2229.2010.00179.x
Guildford SJ, 2000, LIMNOL OCEANOGR, V45, P1213, DOI 10.4319/lo.2000.45.6.1213
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P112, DOI 10.1099/ijs.0.001743-0
HECKY RE, 1993, LIMNOL OCEANOGR, V38, P709, DOI 10.4319/lo.1993.38.4.0709
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hubbell Stephen P., 2001, V32, pi
Janssen J, 2014, ICES J MAR SCI, V71, P2242, DOI 10.1093/icesjms/fst220
Jousset A, 2017, ISME J, V11, P853, DOI 10.1038/ismej.2016.174
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Kembel SW, 2010, BIOINFORMATICS, V26, P1463, DOI 10.1093/bioinformatics/btq166
Koblízek M, 2015, FEMS MICROBIOL REV, V39, P854, DOI 10.1093/femsre/fuv032
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lan YM, 2016, MICROBIOME, V4, DOI 10.1186/s40168-016-0162-5
LENSKI RE, 1991, AM NAT, V138, P1315, DOI 10.1086/285289
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Linz AM, 2017, MSPHERE, V2, DOI [10.1128/mSphere.00169-17, 10.1128/msphere.00169-17]
Logares R, 2013, ISME J, V7, P937, DOI 10.1038/ismej.2012.168
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Logue JB, 2012, ISME J, V6, P1127, DOI 10.1038/ismej.2011.184
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
Martiny JBH, 2015, SCIENCE, V350, DOI 10.1126/science.aac9323
Mason OU, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01048
Matias MG, 2013, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00432
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oksanen, 2022, VEGAN COMMUNITY ECOL
Ondov BD, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-385
Ortmann AC, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw133
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
Paver S, 2018, BIORXIV, DOI [10.1101/347021, DOI 10.1101/347021]
Paytan A, 2007, CHEM REV, V107, P563, DOI 10.1021/cr0503613
Peter H, 2016, ISME J, V10, P1545, DOI 10.1038/ismej.2015.245
Piwosz K, 2013, LIMNOL OCEANOGR, V58, P817, DOI 10.4319/lo.2013.58.3.0817
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Salter SJ, 2014, BMC BIOL, V12, DOI 10.1186/s12915-014-0087-z
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schmidt ML, 2016, ENVIRON MICROBIOL, V18, P1212, DOI 10.1111/1462-2920.13143
Shade A, 2014, MBIO, V5, DOI 10.1128/mBio.01371-14
Simek K, 2006, ENVIRON MICROBIOL, V8, P1613, DOI 10.1111/j.1462-2920.2006.01053.x
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Sterner RW, 2010, J GREAT LAKES RES, V36, P139, DOI 10.1016/j.jglr.2009.12.007
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
van Dongen S, 2012, METHODS MOL BIOL, V804, P281, DOI 10.1007/978-1-61779-361-5_15
Vishnivetskaya TA, 2014, FEMS MICROBIOL ECOL, V87, P217, DOI 10.1111/1574-6941.12219
Walsh D.A., 2013, LATERAL GENE TRANSFE, P55
Wright ES, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-3217-x
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Yutin N, 2007, ENVIRON MICROBIOL, V9, P1464, DOI 10.1111/j.1462-2920.2007.01265.x
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhong ZP, 2016, APPL ENVIRON MICROB, V82, P1846, DOI 10.1128/AEM.03332-15
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 85
TC 36
Z9 38
PD NOV-DEC
PY 2018
VL 3
IS 6
AR e00232-18
DI 10.1128/mSystems.00232-18
UT WOS:000455120400017
DA 2025-07-30
ER
PT J
AU Arandia-Gorostidi, N
Huete-Stauffer, TM
Alonso-Sáez, L
Morán, XAG
AF Arandia-Gorostidi, Nestor
Megan Huete-Stauffer, Tamara
Alonso-Saez, Laura
Moran, Xose Anxelu G.
TI Testing the metabolic theory of ecology with marine bacteria: different
temperature sensitivity of major phylogenetic groups during the spring
phytoplankton bloom
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Although temperature is a key driver of bacterioplankton metabolism, the effect of ocean warming on different bacterial phylogenetic groups remains unclear. Here, we conducted monthly short-term incubations with natural coastal bacterial communities over an annual cycle to test the effect of experimental temperature on the growth rates and carrying capacities of four phylogenetic groups: SAR11, Rhodobacteraceae, Gammaproteobacteria and Bacteroidetes. SAR11 was the most abundant group year-round as analysed by CARD-FISH, with maximum abundances in summer, while the other taxa peaked in spring. All groups, including SAR11, showed high temperature-sensitivity of growth rates and/or carrying capacities in spring, under phytoplankton bloom or post-bloom conditions. In that season, Rhodobacteraceae showed the strongest temperature response in growth rates, estimated here as activation energy (E, 1.43 eV), suggesting an advantage to outcompete other groups under warmer conditions. In summer E values were in general lower than 0.65 eV, the value predicted by the Metabolic Theory of Ecology (MTE). Contrary to MTE predictions, carrying capacity tended to increase with warming for all bacterial groups. Our analysis confirms that resource availability is key when addressing the temperature response of heterotrophic bacterioplankton. We further show that even under nutrient-sufficient conditions, warming differentially affected distinct bacterioplankton taxa.
C1 [Arandia-Gorostidi, Nestor; Megan Huete-Stauffer, Tamara; Alonso-Saez, Laura] Inst Espanol Oceanog, Ctr Oceanog Gijon Xixon, Plankton Ecol & Pelag Ecosyst Dynam Div, Gijon Xixon, Asturias, Spain.
[Megan Huete-Stauffer, Tamara; Moran, Xose Anxelu G.] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia.
[Alonso-Saez, Laura] AZTI, Marine Res Div, Sukarrieta, Bizkaia, Spain.
RP Arandia-Gorostidi, N (corresponding author), Inst Espanol Oceanog, Ctr Oceanog Gijon Xixon, Plankton Ecol & Pelag Ecosyst Dynam Div, Gijon Xixon, Asturias, Spain.
EM n.arandia86@gmail.com
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Arrhenius S., 1889, Z PHYS CHEM, V4, P226, DOI [DOI 10.1515/ZPCH-1889-0416, 10.1515/zpch-1889-0416]
Ayo B., 2017, GLOB CHANG BIOL
Azam F, 2001, NATURE, V414, P495, DOI 10.1038/35107174
Bailly D, 2014, ECOLOGY, V95, P553, DOI 10.1890/13-0483.1
BALDWIN WW, 1988, APPL ENVIRON MICROB, V54, P105, DOI 10.1128/AEM.54.1.105-109.1988
Beier S, 2015, ISME J, V9, P1141, DOI 10.1038/ismej.2014.206
Belgrano A, 2002, ECOL LETT, V5, P611, DOI 10.1046/j.1461-0248.2002.00364.x
Bergen B, 2016, ENVIRON MICROBIOL, V18, P4579, DOI 10.1111/1462-2920.13549
Berggren M, 2010, MICROB ECOL, V60, P894, DOI 10.1007/s00248-010-9751-1
BLUEWEISS L, 1978, OECOLOGIA, V37, P257, DOI 10.1007/BF00344996
Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Calvo-Diaz A., 2008, THESIS
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
CHO BC, 1990, MAR ECOL PROG SER, V63, P253, DOI 10.3354/meps063253
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Christaki U, 2011, LIMNOL OCEANOGR-METH, V9, P329, DOI 10.4319/lom.2011.9.329
Collins M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1029
DAMUTH J, 1987, BIOL J LINN SOC, V31, P193, DOI 10.1111/j.1095-8312.1987.tb01990.x
Daufresne M, 2009, P NATL ACAD SCI USA, V106, P12788, DOI 10.1073/pnas.0902080106
Davidson EA, 2006, NATURE, V440, P165, DOI 10.1038/nature04514
Davidson EA, 2000, NATURE, V408, P789, DOI 10.1038/35048672
Degerman R, 2013, AQUAT MICROB ECOL, V68, P131, DOI 10.3354/ame01609
Edwards M, 2004, NATURE, V430, P881, DOI 10.1038/nature02808
Eiler A, 2003, APPL ENVIRON MICROB, V69, P3701, DOI 10.1128/AEM.69.7.3701-3709.2003
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elias M, 2014, TRENDS BIOCHEM SCI, V39, P1, DOI 10.1016/j.tibs.2013.11.001
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fouilland E, 2014, FEMS MICROBIOL ECOL, V87, P757, DOI 10.1111/1574-6941.12262
Gasol J.M., 2015, Springer Protoc. Handbooks, P1, DOI DOI 10.1007/8623_2015_139
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Gillooly JF, 2001, SCIENCE, V293, P2248, DOI 10.1126/science.1061967
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glazier DS, 2015, BIOL REV, V90, P377, DOI 10.1111/brv.12115
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hall EK, 2010, FUNCT ECOL, V24, P898, DOI 10.1111/j.1365-2435.2010.01707.x
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Jiang L, 2004, J ANIM ECOL, V73, P569, DOI 10.1111/j.0021-8790.2004.00830.x
Kingsolver JG, 2008, EVOL ECOL RES, V10, P251
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kirchman DL, 2005, DEEP-SEA RES PT II, V52, P3386, DOI 10.1016/j.dsr2.2005.09.005
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Koch AL, 2001, BIOESSAYS, V23, P657, DOI 10.1002/bies.1091
Lami R, 2014, AQUAT MICROB ECOL, V73, P185, DOI 10.3354/ame01716
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Laws EA, 2000, GLOBAL BIOGEOCHEM CY, V14, P1231, DOI 10.1029/1999GB001229
Li WKW, 2004, DEEP-SEA RES PT I, V51, P1529, DOI 10.1016/j.dsr.2004.06.012
Lindh MV, 2013, ENV MICROBIOL REP, V5, P252, DOI 10.1111/1758-2229.12009
Lonborg C, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00090
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
López-Urrutia A, 2007, ECOLOGY, V88, P817, DOI 10.1890/06-1641
López-Urrutia A, 2006, P NATL ACAD SCI USA, V103, P8739, DOI 10.1073/pnas.0601137103
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Huete-Stauffer TM, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv111
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morán XAG, 2007, AQUAT MICROB ECOL, V46, P141, DOI 10.3354/ame046141
Morán XAG, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.0371
Morán XAG, 2011, LIMNOL OCEANOGR, V56, P37, DOI 10.4319/lo.2011.56.1.0037
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
O'Connor MI, 2009, PLOS BIOL, V7, DOI 10.1371/journal.pbio.1000178
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
RATKOWSKY DA, 1982, J BACTERIOL, V149, P1
Regaudie-De-Gioux A, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2010GB003907
Sarmento H, 2010, PHILOS T R SOC B, V365, P2137, DOI 10.1098/rstb.2010.0045
Sarmiento JL, 1998, NATURE, V393, P245, DOI 10.1038/30455
Sauret C, 2014, ENVIRON POLLUT, V194, P246, DOI 10.1016/j.envpol.2014.07.024
Savage VM, 2004, AM NAT, V163, P429, DOI 10.1086/381872
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sinsabaugh RL, 2010, ECOLOGY, V91, P1455, DOI 10.1890/08-2192.1
SLOBODKIN LAWRENCE B., 1961
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Solic M, 2009, AQUAT MICROB ECOL, V58, P15, DOI 10.3354/ame01342
Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Straza TRA, 2009, APPL ENVIRON MICROB, V75, P4028, DOI 10.1128/AEM.00183-09
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Vaqué D, 2009, AQUAT MICROB ECOL, V54, P101, DOI 10.3354/ame01259
von Scheibner M, 2014, ENVIRON MICROBIOL, V16, P718, DOI 10.1111/1462-2920.12195
West GB, 1997, SCIENCE, V276, P122, DOI 10.1126/science.276.5309.122
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
WILLIAMS PJL, 1981, OCEANOL ACTA, V4, P359
Wiltshire KH, 2004, HELGOLAND MAR RES, V58, P269, DOI 10.1007/s10152-004-0196-0
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zeder M, 2011, CYTOM PART A, V79A, P306, DOI 10.1002/cyto.a.21034
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 108
TC 31
Z9 33
PD NOV
PY 2017
VL 19
IS 11
BP 4493
EP 4505
DI 10.1111/1462-2920.13898
UT WOS:000416149000009
DA 2025-07-30
ER
PT J
AU Thingstad, TF
Våge, S
Storesund, JE
Sandaa, RA
Giske, J
AF Thingstad, T. Frede
Vage, Selina
Storesund, Julia E.
Sandaa, Ruth-Anne
Giske, Jarl
TI A theoretical analysis of how strain-specific viruses can control
microbial species diversity
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Pelagic prokaryote communities are often dominated by the SAR11 clade. The recent discovery of viruses infecting this clade led to the suggestion that such dominance could not be explained by assuming SAR11 to be a defense specialist and that the explanation therefore should be sought in its competitive abilities. The issue is complicated by the fact that prokaryotes may develop strains differing in their balance between competition and viral defense, a situation not really captured by present idealized models that operate only with virus-controlled "host groups." We here develop a theoretical framework where abundance within species emerges as the sum over virus-controlled strains and show that high abundance then is likely to occur for species able to use defense mechanisms with a low trade-off between competition and defense, rather than by extreme investment in one strategy or the other. The J-shaped activity-abundance community distribution derived from this analysis explains the high proportion low-active prokaryotes as a consequence of extreme defense as an alternative to explanations based on dormancy or death due to nutrient starvation.
C1 [Thingstad, T. Frede] Univ Bergen, Dept Biol, N-5020 Bergen, Norway.
Hjort Ctr Marine Ecosyst Dynam, N-5020 Bergen, Norway.
RP Thingstad, TF (corresponding author), Univ Bergen, Dept Biol, N-5020 Bergen, Norway.
EM frede.thingstad@bio.uib.no
CR Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Barrangou R, 2007, SCIENCE, V315, P1709, DOI 10.1126/science.1138140
Bohannan BJM, 1997, ECOLOGY, V78, P2303
Bohannan BJM, 2000, AM NAT, V156, P329, DOI 10.1086/303393
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Brockhurst MA, 2007, INFECT GENET EVOL, V7, P547, DOI 10.1016/j.meegid.2007.01.005
Buckling A, 2002, P ROY SOC B-BIOL SCI, V269, P931, DOI 10.1098/rspb.2001.1945
Ceyssens PJ, 2009, ENVIRON MICROBIOL, V11, P1303, DOI 10.1111/j.1462-2920.2008.01862.x
Flores CO, 2011, P NATL ACAD SCI USA, V108, pE288, DOI 10.1073/pnas.1101595108
Jover LF, 2013, J THEOR BIOL, V332, P65, DOI 10.1016/j.jtbi.2013.04.011
Lennon JT, 2007, ISME J, V1, P300, DOI 10.1038/ismej.2007.37
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Manini E, 2006, FEMS MICROBIOL ECOL, V55, P416, DOI 10.1111/j.1574-6941.2005.00042.x
Martiny JBH, 2014, ANNU REV MAR SCI, V6, P393, DOI 10.1146/annurev-marine-010213-135108
Middelboe M, 2001, MICROBIAL ECOL, V42, P395, DOI 10.1007/s00248-001-0012-1
Middelboe M, 2009, ENVIRON MICROBIOL, V11, P1971, DOI 10.1111/j.1462-2920.2009.01920.x
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Nikado H, 1987, ESCHERICHIA COLI SAL
Paterson S, 2010, NATURE, V464, P275, DOI 10.1038/nature08798
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
SCHWARTZ M, 1987, ESCHERICHIA COLI SAL
Stent GS., 1963, Molecular Biology of Bacterial Viruses
Tambi H, 2009, AQUAT MICROB ECOL, V57, P311, DOI 10.3354/ame01369
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Våge S, 2013, ENVIRON MICROBIOL, V15, P1842, DOI 10.1111/1462-2920.12077
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
WEINBAUER MG, 1993, APPL ENVIRON MICROB, V59, P4074, DOI 10.1128/AEM.59.12.4074-4082.1993
Weitz JS, 2013, TRENDS MICROBIOL, V21, P82, DOI 10.1016/j.tim.2012.11.003
Weitz JS, 2005, P NATL ACAD SCI USA, V102, P9535, DOI 10.1073/pnas.0504062102
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 33
TC 124
Z9 144
PD MAY 27
PY 2014
VL 111
IS 21
BP 7813
EP 7818
DI 10.1073/pnas.1400909111
UT WOS:000336411300069
DA 2025-07-30
ER
PT J
AU Hartmann, M
Zubkov, MV
Scanlan, DJ
Lepère, C
AF Hartmann, Manuela
Zubkov, Mikhail V.
Scanlan, Dave J.
Lepere, Cecile
TI In situ interactions between photosynthetic picoeukaryotes and
bacterioplankton in the Atlantic Ocean: evidence for mixotrophy
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Heterotrophic bacterioplankton, cyanobacteria and phototrophic picoeukaryotes (<5m in size) numerically dominate planktonic oceanic communities. While feeding on bacterioplankton is often attributed to aplastidic protists, recent evidence suggests that phototrophic picoeukaryotes could be important bacterivores. Here, we present direct visual evidence from the surface mixed layer of the Atlantic Ocean that bacterioplankton are internalized by phototrophic picoeukaryotes. In situ interactions of phototrophic picoeukaryotes and bacterioplankton (specifically Prochlorococcus cyanobacteria and the SAR11 clade) were investigated using a combination of flow cytometric cell sorting and dual tyramide signal amplification fluorescence in situ hybridization. Using this method, we observed plastidic Prymnesiophyceae and Chrysophyceae cells containing Prochlorococcus, and to a lesser extent SAR11 cells. These microscopic observations of in situ microbial trophic interactions demonstrate the frequency and likely selectivity of phototrophic picoeukaryote bacterivory in the surface mixed layer of both the North and South Atlantic subtropical gyres and adjacent equatorial region, broadening our views on the ecological role of the smallest oceanic plastidic protists.
C1 [Hartmann, Manuela; Zubkov, Mikhail V.] Natl Oceanog Ctr, Ocean Biogeochem & Ecosyst Res Grp, Southampton SO14 3ZH, Hants, England.
[Scanlan, Dave J.; Lepere, Cecile] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
RP Lepère, C (corresponding author), Univ Blaise Pascal, Univ Clermont Ferrand 2, Lab Microorganismes Genome & Environm, BP 10448, F-63000 Clermont Ferrand, France.
EM cecile.lepere@univ-bpclermont.fr
CR CARON DA, 1988, HYDROBIOLOGIA, V159, P27, DOI 10.1007/BF00007365
Christaki U, 2001, J PLANKTON RES, V23, P1297, DOI 10.1093/plankt/23.11.1297
Cuvelier ML, 2010, P NATL ACAD SCI USA, V107, P14679, DOI 10.1073/pnas.1001665107
Frias-Lopez J, 2009, ENVIRON MICROBIOL, V11, P512, DOI 10.1111/j.1462-2920.2008.01793.x
Geng HF, 2010, CURR OPIN BIOTECH, V21, P332, DOI 10.1016/j.copbio.2010.03.013
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Grob C, 2011, ENVIRON MICROBIOL, V13, P3266, DOI 10.1111/j.1462-2920.2011.02586.x
Harada A, 2007, PROTIST, V158, P337, DOI 10.1016/j.protis.2007.03.005
Hartmann M, 2012, P NATL ACAD SCI USA, V109, P5756, DOI 10.1073/pnas.1118179109
Heywood JL, 2011, ISME J, V5, P674, DOI 10.1038/ismej.2010.155
Ichinotsuka D, 2006, AQUAT MICROB ECOL, V42, P139, DOI 10.3354/ame042139
Jardillier L, 2010, ISME J, V4, P1180, DOI 10.1038/ismej.2010.36
Lepère C, 2009, ENVIRON MICROBIOL, V11, P3105, DOI 10.1111/j.1462-2920.2009.02015.x
LI WKW, 1994, LIMNOL OCEANOGR, V39, P169, DOI 10.4319/lo.1994.39.1.0169
Liu H, 2009, P NATL ACAD SCI USA, V106, P12803, DOI 10.1073/pnas.0905841106
Martinez-Garcia M, 2012, ISME J, V6, P703, DOI 10.1038/ismej.2011.126
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
Moon-van der Staay SY, 2001, NATURE, V409, P607, DOI 10.1038/35054541
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Not F, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007143
Rappé MS, 1998, APPL ENVIRON MICROB, V64, P294
Roberts EC, 2006, FEMS MICROBIOL LETT, V265, P202, DOI 10.1111/j.1574-6968.2006.00484.x
Sanders RW, 2012, FEMS MICROBIOL ECOL, V82, P242, DOI 10.1111/j.1574-6941.2011.01253.x
Vaulot D, 2008, FEMS MICROBIOL REV, V32, P795, DOI 10.1111/j.1574-6976.2008.00121.x
Winblade ND, 2000, BIOMACROMOLECULES, V1, P523, DOI 10.1021/bm000040v
Worden A.Z., 2008, Microbial Ecology of the Ocean, P159
Zubkov MV, 2008, NATURE, V455, P224, DOI 10.1038/nature07236
Zubkov MV, 2009, EUR J PROTISTOL, V45, P166, DOI 10.1016/j.ejop.2008.09.003
Zubkov M, 2007, J PLANKTON RES, V29, P79
Zubkov MV, 1998, DEEP-SEA RES PT I, V45, P1339, DOI 10.1016/S0967-0637(98)00015-6
NR 31
TC 70
Z9 73
PD DEC
PY 2013
VL 5
IS 6
BP 835
EP 840
DI 10.1111/1758-2229.12084
UT WOS:000326891500007
DA 2025-07-30
ER
PT J
AU Campbell, BJ
Yu, L
Straza, TRA
Kirchman, DL
AF Campbell, B. J.
Yu, L.
Straza, T. R. A.
Kirchman, D. L.
TI Temporal changes in bacterial rRNA and rRNA genies in Delaware (USA)
coastal waters
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB The diversity and abundance of bacterial 16S rRNA genes (rDNA) and associated 16S rRNA were assessed to examine community structure and potential activity in a 2 yr seasonal study of marine surface waters along the Delaware (USA) coast. The majority of the ribotypes appearing as rRNA or rDNA were present at least 50% of the time, and their variation over time was less than that of most biotic and abiotic factors. Even though there were no predictable seasonal patterns in community structure, environmental parameters explained between 40 and 50% of the observed variation in community structure, In general, summer communities correlated positively with temperature, light, bacterial production, and phosphate levels, while winter communities correlated with dissolved organic carbon concentrations. The abundance of 3 select ribotypes (SAR11, a Cytophaga subgroup, SAR116-like) varied some over time as measured by quantitative PCR (qPCR). The SAR11 clade was 10 times more abundant than the other 2 groups. However, the 16S rRNA to rDNA ratios, as measured by qPCR and reverse transcription-qPCR, varied greatly over time and were highest in the SAR11 population and the Cytophaga subgroup. The rRNA to rDNA ratio of the Cytophaga subgroup and SAR116-like group significantly correlated with some environmental parameters. Taken together, these results suggest that the community composition of the major members does not change much over time, but individual members do vary in abundance and activity and can be influenced by environmental factors.
C1 [Campbell, B. J.; Yu, L.; Straza, T. R. A.; Kirchman, D. L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, 700 Pilottown Rd, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Alonso-Sáez L, 2008, ECOSYSTEMS, V11, P397, DOI 10.1007/s10021-008-9129-0
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Campbell BJ, 2001, APPL ENVIRON MICROB, V67, P110, DOI 10.1128/AEM.67.1.110-117.2001
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Castle DM, 2006, FEMS MICROBIOL ECOL, V56, P55, DOI 10.1111/j.1574-6941.2006.00062.x
Celussi M, 2007, GENE, V406, P113, DOI 10.1016/j.gene.2007.07.010
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Dempster EL, 1999, BIOTECHNIQUES, V27, P66, DOI 10.2144/99271bm13
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Deutscher MP, 2006, NUCLEIC ACIDS RES, V34, P659, DOI 10.1093/nar/gkj472
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Fandino LB, 2005, AQUAT MICROB ECOL, V40, P251, DOI 10.3354/ame040251
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gasol JM, 2002, ANTON LEEUW INT J G, V81, P435, DOI 10.1023/A:1020578418898
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Ka JO, 2001, MICROB ECOL, V42, P267, DOI 10.1007/s00248-001-0003-2
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
Kerkhof L, 1999, FEMS MICROBIOL ECOL, V30, P253
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Kirchman DL, 2001, AQUAT MICROB ECOL, V26, P13, DOI 10.3354/ame026013
Lami R, 2009, AQUAT MICROB ECOL, V54, P199, DOI 10.3354/ame01264
Lau WWY, 2006, ENVIRON MICROBIOL, V8, P1688, DOI 10.1111/j.1462-2920.2006.01092.x
LEGENDRE L., 1983, NUMERICAL ECOLOGY
Longnecker K, 2005, APPL ENVIRON MICROB, V71, P7737, DOI 10.1128/AEM.71.12.7737-7749.2005
Makarenkov V, 2002, ECOLOGY, V83, P1146, DOI 10.1890/0012-9658(2002)083[1146:NRAACC]2.0.CO;2
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
McCune B., 2002, PC-ORD, Analysis of Ecological Communities (Version 5)
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P5728, DOI 10.1128/AEM.68.11.5728-5736.2002
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Preen K, 2004, AQUAT MICROB ECOL, V37, P109, DOI 10.3354/ame037109
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reinthaler T, 2005, APPL ENVIRON MICROB, V71, P2260, DOI 10.1128/AEM.71.5.2260-2266.2005
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Straza TRA, 2009, APPL ENVIRON MICROB, V75, P4028, DOI 10.1128/AEM.00183-09
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
TERBRAAK CJF, 1986, ECOLOGY, V67, P1167
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Whitney MM, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2003JC002261
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
NR 75
TC 35
Z9 42
PY 2009
VL 57
IS 2
BP 123
EP 135
DI 10.3354/ame01335
UT WOS:000272197000002
DA 2025-07-30
ER
PT J
AU Ferla, MP
Thrash, JC
Giovannoni, SJ
Patrick, WM
AF Ferla, Matteo P.
Thrash, J. Cameron
Giovannoni, Stephen J.
Patrick, Wayne M.
TI New rRNA Gene-Based Phylogenies of the Alphaproteobacteria
Provide Perspective on Major Groups, Mitochondrial Ancestry and
Phylogenetic Instability
SO PLOS ONE
DT Article
AB Bacteria in the class Alphaproteobacteria have a wide variety of lifestyles and physiologies. They include pathogens of humans and livestock, agriculturally valuable strains, and several highly abundant marine groups. The ancestor of mitochondria also originated in this clade. Despite significant effort to investigate the phylogeny of the Alphaproteobacteria with a variety of methods, there remains considerable disparity in the placement of several groups. Recent emphasis on phylogenies derived from multiple protein-coding genes remains contentious due to disagreement over appropriate gene selection and the potential influences of systematic error. We revisited previous investigations in this area using concatenated alignments of the small and large subunit (SSU and LSU) rRNA genes, as we show here that these loci have much lower GC bias than whole genomes. This approach has allowed us to update the canonical 16S rRNA gene tree of the Alphaproteobacteria with additional important taxa that were not previously included, and with added resolution provided by concatenating the SSU and LSU genes. We investigated the topological stability of the Alphaproteobacteria by varying alignment methods, rate models, taxon selection and RY-recoding to circumvent GC content bias. We also introduce RYMK-recoding and show that it avoids some of the information loss in RY-recoding. We demonstrate that the topology of the Alphaproteobacteria is sensitive to inclusion of several groups of taxa, but it is less affected by the choice of alignment and rate methods. The majority of topologies and comparative results from Approximately Unbiased tests provide support for positioning the Rickettsiales and the mitochondrial branch within a clade. This composite clade is a sister group to the abundant marine SAR11 clade (Pelagibacterales). Furthermore, we add support for taxonomic assignment of several recently sequenced taxa. Accordingly, we propose three subclasses within the Alphaproteobacteria: the Caulobacteridae, the Rickettsidae, and the Magnetococcidae.
C1 [Ferla, Matteo P.; Patrick, Wayne M.] Univ Otago, Dept Biochem, Dunedin, New Zealand.
[Thrash, J. Cameron; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Thrash, J. Cameron] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
RP Patrick, WM (corresponding author), Univ Otago, Dept Biochem, Dunedin, New Zealand.
EM wayne.patrick@otago.ac.nz
CR Battistuzzi FU, 2004, BMC EVOL BIOL, V4, DOI 10.1186/1471-2148-4-44
Bazylinski DA, 2013, INT J SYST EVOL MICR, V63, P801, DOI 10.1099/ijs.0.038927-0
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
Brocks JJ, 1999, SCIENCE, V285, P1033, DOI 10.1126/science.285.5430.1033
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Drummond AJ, 2012, MOL BIOL EVOL, V29, P1969, DOI 10.1093/molbev/mss075
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Garrity GM, 2005, BERGEYS MANUAL SYSTE
Georgiades K, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024857
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Junier T, 2010, BIOINFORMATICS, V26, P1669, DOI 10.1093/bioinformatics/btq243
Kolaczkowski B, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007891
Konstantinidis KT, 2005, J BACTERIOL, V187, P6258, DOI 10.1128/JB.187.18.6258-6264.2005
Kurahashi M, 2008, INT J SYST EVOL MICR, V58, P548, DOI 10.1099/ijs.0.65328-0
Kwon KK, 2005, INT J SYST EVOL MICR, V55, P2033, DOI 10.1099/ijs.0.63684-0
Lee KB, 2005, INT J SYST EVOL MICR, V55, P1907, DOI 10.1099/ijs.0.63663-0
Lefevre CT, 2009, ENVIRON MICROBIOL, V11, P1646, DOI 10.1111/j.1462-2920.2009.01887.x
McInerney JO, 2008, TRENDS ECOL EVOL, V23, P276, DOI 10.1016/j.tree.2008.01.008
Montagna M, 2013, APPL ENVIRON MICROB, V79, P3241, DOI 10.1128/AEM.03971-12
Pace NR, 2009, MICROBIOL MOL BIOL R, V73, P565, DOI 10.1128/MMBR.00033-09
Philippe H, 2000, MOL BIOL EVOL, V17, P830, DOI 10.1093/oxfordjournals.molbev.a026362
Phillips MJ, 2003, MOL PHYLOGENET EVOL, V28, P171, DOI 10.1016/S1055-7903(03)00057-5
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quinn RA, 2012, DIS AQUAT ORGAN, V98, P221, DOI 10.3354/dao02446
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Salichos L, 2013, NATURE, V497, P327, DOI 10.1038/nature12130
Sassera D, 2011, MOL BIOL EVOL, V28, P3285, DOI 10.1093/molbev/msr159
Schübbe S, 2009, APPL ENVIRON MICROB, V75, P4835, DOI 10.1128/AEM.02874-08
Shimodaira H, 2001, BIOINFORMATICS, V17, P1246, DOI 10.1093/bioinformatics/17.12.1246
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Talavera G, 2007, SYST BIOL, V56, P564, DOI 10.1080/10635150701472164
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Wiese J, 2009, INT J SYST EVOL MICR, V59, P350, DOI 10.1099/ijs.0.001651-0
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
WOESE CR, 1991, SYST APPL MICROBIOL, V14, P364, DOI 10.1016/S0723-2020(11)80311-5
Xu Y, 2012, J AM CHEM SOC, V134, P8625, DOI 10.1021/ja301735a
NR 37
TC 79
Z9 91
PD DEC 11
PY 2013
VL 8
IS 12
AR e83383
DI 10.1371/journal.pone.0083383
UT WOS:000328730300146
DA 2025-07-30
ER
PT J
AU Zhong, KX
Wirth, JF
Chan, AM
Suttle, CA
AF Zhong, Kevin Xu
Wirth, Jennifer F.
Chan, Amy M.
Suttle, Curtis A.
TI Mortality by ribosomal sequencing (MoRS) provides a window into
taxon-specific cell lysis
SO ISME JOURNAL
DT Article
AB Microbes are by far the dominant biomass in the world's oceans and drive biogeochemical cycles that are critical to life on Earth. The composition of marine microbial communities is highly dynamic, spatially and temporally, with consequent effects on their functional roles. In part, these changes in composition result from viral lysis, which is taxon-specific and estimated to account for about half of marine microbial mortality. Here, we show that extracellular ribosomal RNA (rRNA(ext)) is produced by viral lysis, and that specific lysed populations can be identified by sequencing rRNA(ext) recovered from seawater samples. In ten seawater samples collected at five depths between the surface and 265 m during and following a phytoplankton bloom, lysis was detected in about 15% of 16,946 prokaryotic taxa, identified from amplicon sequence variants (ASVs), with lysis occurring in up to 34% of taxa within a water sample. The ratio of rRNA(ext) to cellular rRNA (rRNA(cell)) was used as an index of taxon-specific lysis, and revealed that higher relative lysis was most commonly associated with copiotrophic bacteria that were in relatively low abundance, such as those in the genera Escherichia and Shigella spp., as well as members of the Bacteriodetes; whereas, relatively low lysis was more common in taxa that are often relatively abundant, such as members of the Pelagibacterales (i.e., SAR11 clade), cyanobacteria in the genus Synechococcus, and members of the phylum Thaumarchaeota (synonym, Nitrososphaerota) that comprised about 13-15% of the 16 S rRNA gene sequences below 30 m. These results provide an explanation for the long-standing conundrum of why highly productive bacteria that are readily isolated from seawater are often in very low abundance. The ability to estimate taxon-specific cell lysis will help explore the distribution and abundance of microbial populations in nature.
C1 [Zhong, Kevin Xu; Wirth, Jennifer F.; Chan, Amy M.; Suttle, Curtis A.] Univ British Columbia, Dept Earth Ocean & Atmospher Sci, Vancouver, BC, Canada.
[Suttle, Curtis A.] Univ British Columbia, Dept Microbiol & Immunol, Vancouver, BC, Canada.
[Suttle, Curtis A.] Univ British Columbia, Dept Bot, Vancouver, BC, Canada.
[Suttle, Curtis A.] Univ British Columbia, Inst Oceans & Fisheries, Vancouver, BC, Canada.
[Wirth, Jennifer F.] Montana State Univ, Dept Plant Sci & Plant Pathol, Bozeman, MT 59717 USA.
RP Zhong, KX; Suttle, CA (corresponding author), Univ British Columbia, Dept Earth Ocean & Atmospher Sci, Vancouver, BC, Canada.; Suttle, CA (corresponding author), Univ British Columbia, Dept Microbiol & Immunol, Vancouver, BC, Canada.; Suttle, CA (corresponding author), Univ British Columbia, Dept Bot, Vancouver, BC, Canada.; Suttle, CA (corresponding author), Univ British Columbia, Inst Oceans & Fisheries, Vancouver, BC, Canada.
EM xzhong@eoas.ubc.ca; suttle@science.ubc.ca
CR Abedon Stephen T, 2011, Bacteriophage, V1, P46, DOI 10.4161/bact.1.1.13980
Afgan E, 2018, NUCLEIC ACIDS RES, V46, pW537, DOI 10.1093/nar/gky379
Alves MS, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00426
ANDERSON M. J., 2017, Wiley StatsRef Stat. Ref. Online, P1, DOI [10.1002/9781118445112.stat07841, DOI 10.1002/9781118445112.STAT07841]
[Anonymous], 2013, 16S Metagenomic Sequencing Library Preparation
Aphalo PJ, 2017, YOU LEARNT YOUR MOTH
Bayles KW, 2014, NAT REV MICROBIOL, V12, P63, DOI 10.1038/nrmicro3136
Bibby K, 2014, MICROB ECOL, V67, P242, DOI 10.1007/s00248-013-0325-x
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bong CW, 2013, AQUAT MICROB ECOL, V69, P33, DOI 10.3354/ame01618
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Bremer H, 1996, E. Coli Salmonella Cell. Mol. Biol, V2nd, P1559, DOI DOI 10.1128/ECOSAL.5.2.3
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Caron D.A., 1993, Handbook of Methods in Aquatic Microbial Ecology, P77
CHAO L, 1981, P NATL ACAD SCI-BIOL, V78, P6324, DOI 10.1073/pnas.78.10.6324
Cohen R, 2020, ANTIMICROB RESIST IN, V9, DOI 10.1186/s13756-020-00826-2
Csardi G., 2006, Complex Syst, V1695, P1
Dai W, 2013, NATURE, V502, P707, DOI 10.1038/nature12604
DATTA AK, 1972, J BIOL CHEM, V247, P6795
Deutscher MP, 2009, PROG MOL BIOL TRANSL, V85, P369, DOI 10.1016/S0079-6603(08)00809-X
Fernandes V, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7531-z
Fuhrman JA, 1995, LIMNOL OCEANOGR, V40, P1236, DOI 10.4319/lo.1995.40.7.1236
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
GONZALEZ JM, 1993, MAR ECOL PROG SER, V94, P1, DOI 10.3354/meps094001
Gorrasi S, 2021, WATER-SUI, V13, DOI 10.3390/w13111443
Granato ET, 2019, CURR BIOL, V29, pR521, DOI 10.1016/j.cub.2019.04.024
Guillard R.R.L., 1975, Culture of Marine Invertebrate Animals, P29, DOI [10.1007/978-1-4615-8714-9_3, DOI 10.1007/978-1-4615-8714-9_3]
HENNES KP, 1995, APPL ENVIRON MICROB, V61, P3623, DOI 10.1128/AEM.61.10.3623-3627.1995
Kerkhof L, 1999, FEMS MICROBIOL ECOL, V30, P253
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Lahti L., Tools for Microbiome Analysis in R
Landa M, 2013, AQUAT MICROB ECOL, V69, P157, DOI 10.3354/ame01632
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Marie D., 1999, CURRENT PROTOCOLS CY, V10, P11, DOI DOI 10.1002/0471142956.CY1111-10
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mioni CE, 2005, AQUAT MICROB ECOL, V41, P233, DOI 10.3354/ame041233
Mojica KDA, 2020, VIRUSES-BASEL, V12, DOI 10.3390/v12111293
Nadkarni MA, 2002, MICROBIOL-SGM, V148, P257, DOI 10.1099/00221287-148-1-257
Noble RT, 1997, APPL ENVIRON MICROB, V63, P77, DOI 10.1128/AEM.63.1.77-83.1997
Oksanen, 2022, VEGAN COMMUNITY ECOL
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
PAUL JH, 1987, APPL ENVIRON MICROB, V53, P170, DOI 10.1128/AEM.53.1.170-179.1987
Pérez J, 2016, ENVIRON MICROBIOL, V18, P766, DOI 10.1111/1462-2920.13171
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2020, R LANG ENV STAT COMP
Rocchini RJ, 1981, APD B, V21
Rose JM, 2004, AQUAT MICROB ECOL, V34, P263, DOI 10.3354/ame034263
Segata N, 2012, NAT METHODS, V9, P811, DOI [10.1038/NMETH.2066, 10.1038/nmeth.2066]
Seong KA, 2006, MAR ECOL PROG SER, V322, P85, DOI 10.3354/meps322085
SHERR BF, 1987, APPL ENVIRON MICROB, V53, P958, DOI 10.1128/AEM.53.5.958-965.1987
Sockett RE, 2009, ANNU REV MICROBIOL, V63, P523, DOI 10.1146/annurev.micro.091208.073346
Stahl DA, 2012, ANNU REV MICROBIOL, V66, P83, DOI 10.1146/annurev-micro-092611-150128
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
SUTTLE CA, 1994, MICROBIAL ECOL, V28, P237, DOI 10.1007/BF00166813
SUTTLE CA, 1992, APPL ENVIRON MICROB, V58, P3721, DOI 10.1128/AEM.58.11.3721-3729.1992
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Timko SA, 2015, FRONT MAR SCI, V2, DOI 10.3389/fmars.2015.00066
Toyofuku M, 2019, NAT REV MICROBIOL, V17, P13, DOI 10.1038/s41579-018-0112-2
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Wickham H., 2016, ggplot2: Elegant Graphics for Data Analysis
Wilhelm SW, 2002, PHOTOCHEM PHOTOBIOL, V76, P268, DOI 10.1562/0031-8655(2002)076<0268:EOBDUL>2.0.CO;2
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Williams HN, 2016, ISME J, V10, P491, DOI 10.1038/ismej.2015.129
Wurtmann EJ, 2009, CRIT REV BIOCHEM MOL, V44, P34, DOI [10.1080/10409230802594043 , 10.1080/10409230802594043]
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 79
TC 12
Z9 12
PD JAN
PY 2023
VL 17
IS 1
BP 105
EP 116
DI 10.1038/s41396-022-01327-3
EA OCT 2022
UT WOS:000865156200001
DA 2025-07-30
ER
PT J
AU Zhao, WZ
Andersson, SGE
AF Zhao, Weizhou
Andersson, Siv G. E.
TI Single cell genomics of deep ocean bacteria
SO TRENDS IN MICROBIOLOGY
DT Editorial Material
AB SAR11 is one of the most abundant bacterioplanktons in the upper surface waters of the oceans. In a recent issue of The ISME Journal, Thrash and colleagues present the genomes of four single SAR11 cells isolated from the deep oceans that are enriched in genes for membrane biosynthetic functions.
C1 [Zhao, Weizhou; Andersson, Siv G. E.] Uppsala Univ, Biomed Ctr, Dept Mol Evolut Cell & Mol Biol, Uppsala, Sweden.
RP Andersson, SGE (corresponding author), Uppsala Univ, Biomed Ctr, Dept Mol Evolut Cell & Mol Biol, Uppsala, Sweden.
EM Siv.Andersson@icm.uu.se
CR Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Lauro FM, 2008, EXTREMOPHILES, V12, P15, DOI 10.1007/s00792-006-0059-5
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Thrash JC., 2014, ISME J
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 10
TC 2
Z9 2
PD MAY
PY 2014
VL 22
IS 5
BP 233
EP 234
DI 10.1016/j.tim.2014.03.002
UT WOS:000336477800004
DA 2025-07-30
ER
PT J
AU Luo, HW
AF Luo, Haiwei
TI Evolutionary origin of a streamlined marine bacterioplankton lineage
SO ISME JOURNAL
DT Article
AB Planktonic bacterial lineages with streamlined genomes are prevalent in the ocean. The base composition of their DNA is often highly biased towards low G+C content, a possible source of systematic error in phylogenetic reconstruction. A total of 228 orthologous protein families were sampled that are shared among major lineages of Alphaproteobacteria, including the marine free-living SAR11 clade and the obligate endosymbiotic Rickettsiales. These two ecologically distinct lineages share genome sizes of <1.5Mbp and genomic G+C content of <30%. Statistical analyses showed that only 28 protein families are composition-homogeneous, whereas the other 200 families significantly violate the composition-homogeneous assumption included in most phylogenetic methods. RAxML analysis based on the concatenation of 24 ribosomal proteins that fall into the heterogeneous protein category clustered the SAR11 and Rickettsiales lineages at the base of the Alphaproteobacteria tree, whereas that based on the concatenation of 28 homogeneous proteins (including 19 ribosomal proteins) disassociated the lineages and placed SAR11 at the base of the non-endosymbiotic lineages. When the two data sets were concatenated, only a model that accounted for compositional bias yielded a tree identical to the tree built with composition-homogeneous proteins. Ancestral genome analysis suggests that the first evolved SAR11 cell had a small genome streamlined from its ancestor by a factor of two and coinciding with an ecological transition, followed by further gradual streamlining towards the extant SAR11 populations.
C1 [Luo, Haiwei] Chinese Univ Hong Kong, Sch Life Sci, Simon FS Li Marine Sci Lab, Shatin, Hong Kong, Peoples R China.
RP Luo, HW (corresponding author), Chinese Univ Hong Kong, Sch Life Sci, Shatin, Hong Kong, Peoples R China.
EM hluo2006@gmail.com
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
Bapteste E, 2008, TRENDS MICROBIOL, V16, P200, DOI 10.1016/j.tim.2008.02.005
Bazylinski DA, 2013, INT J SYST EVOL MICR, V63, P801, DOI 10.1099/ijs.0.038927-0
Brochier-Armanet C, 2008, NAT REV MICROBIOL, V6, P245, DOI 10.1038/nrmicro1852
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Ciccarelli FD, 2006, SCIENCE, V311, P1283, DOI 10.1126/science.1123061
Collins TM, 2005, SYST BIOL, V54, P493, DOI 10.1080/10635150590947339
Cox CJ, 2008, P NATL ACAD SCI USA, V105, P20356, DOI 10.1073/pnas.0810647105
Csurös M, 2010, BIOINFORMATICS, V26, P1910, DOI 10.1093/bioinformatics/btq315
Csurös M, 2009, MOL BIOL EVOL, V26, P2087, DOI 10.1093/molbev/msp123
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
Foster PG, 2009, PHILOS T R SOC B, V364, P2197, DOI 10.1098/rstb.2009.0034
Foster PG, 1999, J MOL EVOL, V48, P284, DOI 10.1007/PL00006471
Foster PG, 2004, SYST BIOL, V53, P485, DOI 10.1080/10635150490445779
Fournier GP, 2010, MOL BIOL EVOL, V27, P1792, DOI 10.1093/molbev/msq057
GALTIER N, 1995, P NATL ACAD SCI USA, V92, P11317, DOI 10.1073/pnas.92.24.11317
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
Gu X, 1998, GENETICA, V102-3, P383, DOI 10.1023/A:1017028102013
Guy L, 2014, ISME J, V8, P1353, DOI 10.1038/ismej.2014.6
Hrdy I, 2004, NATURE, V432, P618, DOI 10.1038/nature03149
Jermiin LS, 2004, SYST BIOL, V53, P638, DOI 10.1080/10635150490468648
Katoh K, 2005, NUCLEIC ACIDS RES, V33, P511, DOI 10.1093/nar/gki198
Lanfear R, 2012, MOL BIOL EVOL, V29, P1695, DOI 10.1093/molbev/mss020
Larkin MA, 2007, BIOINFORMATICS, V23, P2947, DOI 10.1093/bioinformatics/btm404
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lartillot N, 2013, SYST BIOL, V62, P611, DOI 10.1093/sysbio/syt022
Lasek-Nesselquist E, 2013, MOL PHYLOGENET EVOL, V69, P17, DOI 10.1016/j.ympev.2013.05.006
Lassmann T, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-298
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lewis PO, 2005, SYST BIOL, V54, P241, DOI 10.1080/10635150590924208
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Luo HW, 2012, ENVIRON MICROBIOL, V14, P41, DOI 10.1111/j.1462-2920.2011.02528.x
Luo HW, 2011, MOL BIOL EVOL, V28, P2751, DOI 10.1093/molbev/msr081
Matte-Tailliez O, 2002, MOL BIOL EVOL, V19, P631, DOI 10.1093/oxfordjournals.molbev.a004122
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morgenstern B, 2004, NUCLEIC ACIDS RES, V32, pW33, DOI 10.1093/nar/gkh373
Nesnidal MP, 2010, MOL BIOL EVOL, V27, P2095, DOI 10.1093/molbev/msq097
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Notredame C, 2000, J MOL BIOL, V302, P205, DOI 10.1006/jmbi.2000.4042
Ramulu HG, 2014, MOL PHYLOGENET EVOL, V75, P103, DOI 10.1016/j.ympev.2014.02.013
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Sheffield NC, 2009, SYST BIOL, V58, P381, DOI 10.1093/sysbio/syp037
Shimodaira H, 1999, MOL BIOL EVOL, V16, P1114, DOI 10.1093/oxfordjournals.molbev.a026201
Shimodaira H, 2002, SYST BIOL, V51, P492, DOI 10.1080/10635150290069913
Singer GAC, 2000, MOL BIOL EVOL, V17, P1581, DOI 10.1093/oxfordjournals.molbev.a026257
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tatusov RL, 1997, SCIENCE, V278, P631, DOI 10.1126/science.278.5338.631
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Wheeler TJ, 2007, BIOINFORMATICS, V23, pI559, DOI 10.1093/bioinformatics/btm226
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
NR 63
TC 24
Z9 28
PD JUN
PY 2015
VL 9
IS 6
BP 1423
EP 1433
DI 10.1038/ismej.2014.227
UT WOS:000354786700013
DA 2025-07-30
ER
PT J
AU Parada, AE
Needham, DM
Fuhrman, JA
AF Parada, Alma E.
Needham, David M.
Fuhrman, Jed A.
TI Every base matters: assessing small subunit rRNA primers for marine
microbiomes with mock communities, time series and global field samples
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Microbial community analysis via high-throughput sequencing of amplified 16S rRNA genes is an essential microbiology tool. We found the popular primer pair 515F (515F-C) and 806R greatly underestimated (e.g. SAR11) or overestimated (e.g. Gammaproteobacteria) common marine taxa. We evaluated marine samples and mock communities (containing 11 or 27 marine 16S clones), showing alternative primers 515F-Y (5'-GTGYCAGCMGCCGCGG TAA) and 926R (5'-CCGYCAATTYMTTTRAGTTT) yield more accurate estimates of mock community abundances, produce longer amplicons that can differentiate taxa unresolvable with 515F-C/806R, and amplify eukaryotic 18S rRNA. Mock communities amplified with 515F-Y/926R yielded closer observed community composition versus expected (r(2) = 0.95) compared with 515F-Y/806R (r(2) = 0.5). Unexpectedly, biases with 515F-Y/806R against SAR11 in field samples (similar to 4-10-fold) were stronger than in mock communities (similar to 2-fold). Correcting a mismatch to Thaumarchaea in the 515F-C increased their apparent abundance in field samples, but not as much as using 926R rather than 806R. With plankton samples rich in eukaryotic DNA (> 1 mu m size fraction), 18S sequences averaged similar to 17% of all sequences. A single mismatch can strongly bias amplification, but even perfectly matched primers can exhibit preferential amplification. We show that beyond in silico predictions, testing with mock communities and field samples is important in primer selection.
C1 [Parada, Alma E.; Needham, David M.; Fuhrman, Jed A.] Univ So Calif, Los Angeles, CA USA.
RP Fuhrman, JA (corresponding author), Univ So Calif, Los Angeles, CA USA.
EM fuhrman@usc.edu
CR Acinas SG, 2005, APPL ENVIRON MICROB, V71, P8966, DOI 10.1128/AEM.71.12.8966-8969.2005
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
Bonder MJ, 2012, BIOINFORMATICS, V28, P2891, DOI 10.1093/bioinformatics/bts552
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Claesson Marcus J, 2010, Nucleic Acids Res, V38, pe200, DOI 10.1093/nar/gkq873
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Ghyselinck J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071360
Gilbert JA, 2010, STAND GENOMIC SCI, V3, P249, DOI [10.4056/aigs.1443528, 10.4056/sigs.1433550]
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Hugerth LW, 2014, APPL ENVIRON MICROB, V80, P5116, DOI 10.1128/AEM.01403-14
Huse SM, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-5
Jeraldo P, 2011, ENVIRON MICROBIOL, V13, P3000, DOI 10.1111/j.1462-2920.2011.02577.x
Kim M, 2011, J MICROBIOL METH, V84, P81, DOI 10.1016/j.mimet.2010.10.020
Klindworth Anna, 2013, Nucleic Acids Res, V41, pe1, DOI 10.1093/nar/gks808
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
Mahé F, 2014, PEERJ, V2, DOI 10.7717/peerj.593
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Ouverney C.C., 1999, THESIS U SO CALIFORN
Paver SF, 2013, ENVIRON MICROBIOL, V15, P2489, DOI 10.1111/1462-2920.12131
Pylro VS, 2014, J MICROBIOL METH, V107, P30, DOI 10.1016/j.mimet.2014.08.018
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schloss PD, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000844
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schmidt TSB, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003594
Sipos R, 2007, FEMS MICROBIOL ECOL, V60, P341, DOI 10.1111/j.1574-6941.2007.00283.x
TAMURA K, 1993, MOL BIOL EVOL, V10, P512, DOI 10.1093/oxfordjournals.molbev.a040023
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
Taylor JD, 2014, ISME J, V8, P245, DOI 10.1038/ismej.2013.178
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
NR 49
TC 2653
Z9 2715
PD MAY
PY 2016
VL 18
IS 5
BP 1403
EP 1414
DI 10.1111/1462-2920.13023
UT WOS:000375481200011
HC Y
HP N
DA 2025-07-30
ER
PT J
AU Mancuso, FP
D'Hondt, S
Willems, A
Airoldi, L
De Clerck, O
AF Mancuso, Francesco P.
D'Hondt, Sofie
Willems, Anne
Airoldi, Laura
De Clerck, Olivier
TI Diversity and Temporal Dynamics of the Epiphytic Bacterial Communities
Associated with the Canopy-Forming Seaweed Cystoseira cornpressa
(Esper) Gerloff and Nizamuddin
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Canopy-forming seaweed species of the genus Cystoseira form diverse and productive habitats along temperate rocky coasts of the Mediterranean Sea. Despite numerous studies on the rich macrofauna and flora associated with Cystoseira spp., there is little knowledge about the epiphytic bacteria. We analyzed bacterial populations associated with canopies of Cystoseira compressa, over an annual vegetative cycle (May-October), and their relationships with the bacterial populations in the surrounding seawater, at intertidal rocky shores in Vasto (Chieti-Italy). The bacterial diversity was assessed using Illumina Miseq sequences of V1-V3 hypervariable regions of 16S rRNA gene. C. compressa bacterial community was dominated by sequences of Proteobacteria and Bacteroidetes, Verrucomicrobia, Actinobacteria. and Cyanobactena especially of the Rhodobactenaceae, Flayobactenaceae, Sapropiraceae, Verrucomicrobiaceae, and Phyllobactenaceae families. Seawater libraries were also dominated by Proteobacteria and Bacteroidetes sequences, especially of the Candidatus Pelagibacter (SAR11) and Rhodobacteriaceae families, but were shown to be clearly distinct from C. compressa libraries with only few species in common between the two habitats. We observed a clear successional pattern in the epiphytic bacteria of C. compressa over time. These variations were characterized by gradual addition of OTUs (Verrucomicrobia, Actinobacteria and SR1) to the community over a growing season, indicative of a temporal gradient, rather than a radical reorganization of the bacterial community. Moreover, we also found an increase in abundance over time of Rhodobacteraceae, comprising six potential pathogenic genera, Ruegena, Nautella, Aquimarina, Loktanella, Saprospira, and Phaeobacter which seemed to be associated to aged thalli of C. compressa. These bacteria could have the potential to affect the health and ecology of the algae, suggesting the hypothesis of a possible, but still unexplored, role of the microbial communities in contributing to the extensive ongoing declines of populations of Cystoseira spp. in the Mediterranean Sea.
C1 [Mancuso, Francesco P.; Airoldi, Laura] Univ Bologna, Ctr Interdipartimentale Ric Sci Ambientali, Dipartimento Sci Biol Geol & Ambientali, UO CoNISMa, Ravenna, Italy.
[Mancuso, Francesco P.; D'Hondt, Sofie; De Clerck, Olivier] Univ Ghent, Phycol Res Grp, B-9000 Ghent, Belgium.
[Mancuso, Francesco P.; D'Hondt, Sofie; De Clerck, Olivier] Univ Ghent, Ctr Mol Phylogenet & Evolut, B-9000 Ghent, Belgium.
[Willems, Anne] Univ Ghent, Dept Biochem & Microbiol, Lab Microbiol, B-9000 Ghent, Belgium.
RP Mancuso, FP; Airoldi, L (corresponding author), Univ Bologna, Ctr Interdipartimentale Ric Sci Ambientali, Dipartimento Sci Biol Geol & Ambientali, UO CoNISMa, Ravenna, Italy.; Mancuso, FP (corresponding author), Univ Ghent, Phycol Res Grp, B-9000 Ghent, Belgium.; Mancuso, FP (corresponding author), Univ Ghent, Ctr Mol Phylogenet & Evolut, B-9000 Ghent, Belgium.
EM laura.airoldi@unibo.it; laura.airoldi@unibo.it
CR Abdullah MI, 2004, J MAR BIOL ASSOC UK, V84, P887, DOI 10.1017/S002531540401015Xh
Agnetta D, 2015, ESTUAR COAST SHELF S, V152, P73, DOI 10.1016/j.ecss.2014.11.023
Anderson AJ, 2008, For PRIMER: Guide to Software and Statistical Methods Plymouth
Asnaghi V, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061978
Ballesteros E, 2009, ESTUAR COAST SHELF S, V82, P477, DOI 10.1016/j.ecss.2009.02.013
Benedetti-Cecchi L, 2001, MAR ECOL PROG SER, V214, P137, DOI 10.3354/meps214137
Bengtsson MM, 2012, ISME J, V6, P2188, DOI 10.1038/ismej.2012.67
Bengtsson MM, 2011, AQUAT MICROB ECOL, V62, P191, DOI 10.3354/ame01477
Bengtsson MM, 2010, AQUAT MICROB ECOL, V60, P71, DOI 10.3354/ame01409
Bulleri F, 2002, J EXP MAR BIOL ECOL, V267, P89, DOI 10.1016/S0022-0981(01)00361-6
Burke C, 2011, ISME J, V5, P590, DOI 10.1038/ismej.2010.164
Campbell AH, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00230
Case RJ, 2011, ENVIRON MICROBIOL, V13, P529, DOI 10.1111/j.1462-2920.2010.02356.x
Clarke KR., 2006, PRIMER VERSION 7 USE
Cleenwerck I, 2007, INT J SYST EVOL MICR, V57, P1647, DOI 10.1099/ijs.0.64840-0
Connell SD, 2014, MAR ECOL PROG SER, V495, P299, DOI 10.3354/meps10513
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Draisma SGA, 2010, J PHYCOL, V46, P1329, DOI 10.1111/j.1529-8817.2010.00891.x
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
EDWARDS U, 1989, NUCLEIC ACIDS RES, V17, P7843, DOI 10.1093/nar/17.19.7843
Egan S, 2013, FEMS MICROBIOL REV, V37, P462, DOI 10.1111/1574-6976.12011
Falace A, 2006, HYDROBIOLOGIA, V555, P193, DOI 10.1007/s10750-005-1116-2
Falace Annalisa, 2005, Annales Series Historia Naturalis, V15, P71
Fernandes N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050854
Fernandes N, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027387
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Giaccone G., 1994, B ACCAD GIOENIA SCI, V27, P111
Goecke F, 2010, MAR ECOL PROG SER, V409, P267, DOI 10.3354/meps08607
Gomez-Garreta A., 2002, FLORA PHYCOLOGICA IB, V1
Hildebrand F, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-30
Hollants J, 2013, FEMS MICROBIOL ECOL, V83, P1, DOI 10.1111/j.1574-6941.2012.01446.x
Lachnit T, 2011, ENVIRON MICROBIOL, V13, P655, DOI 10.1111/j.1462-2920.2010.02371.x
Lachnit T, 2009, AQUAT BIOL, V5, P181, DOI 10.3354/ab00149
Mangialajo L, 2008, MAR ECOL PROG SER, V358, P63, DOI 10.3354/meps07400
Mangialajo L, 2007, MAR POLLUT BULL, V55, P30, DOI 10.1016/j.marpolbul.2006.08.022
Marzinelli EM, 2015, ENVIRON MICROBIOL, V17, P4078, DOI 10.1111/1462-2920.12972
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Miccadei E, 2011, J COASTAL RES, V27, P1122, DOI 10.2112/JCOASTRES-D-10-00161.1
Mineur F, 2015, J SEA RES, V98, P91, DOI 10.1016/j.seares.2014.11.004
Miranda LN, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058269
Navas-Molina JA, 2013, METHOD ENZYMOL, V531, P371, DOI 10.1016/B978-0-12-407863-5.00019-8
Oksanen A.J., 2015, COMMUNITY ECOLOGY PA
Perkol-Finkel S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010791
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
R CoreTeam, 2015, R: ALanguageandEnvironmentforStatisticalComputing, V3. 2. 1
RIBERA MA, 1992, BOT MAR, V35, P109, DOI 10.1515/botm.1992.35.2.109
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Serio D, 2006, BOT MAR, V49, P135, DOI 10.1515/BOT.2006.018
Soltan D, 2001, MAR POLLUT BULL, V42, P59, DOI 10.1016/S0025-326X(00)00116-8
Staufenberger T, 2008, FEMS MICROBIOL ECOL, V64, P65, DOI 10.1111/j.1574-6941.2008.00445.x
Strain EMA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0120837
Strain EMA, 2014, GLOBAL CHANGE BIOL, V20, P3300, DOI 10.1111/gcb.12619
Stratil SB, 2013, MICROBIOLOGYOPEN, V2, P338, DOI 10.1002/mbo3.79
Thibaut T, 2005, MAR POLLUT BULL, V50, P1472, DOI 10.1016/j.marpolbul.2005.06.014
Thibaut T, 2015, MEDITERR MAR SCI, V16, P206, DOI 10.12681/mms.1032
Wada S, 2007, J EXP MAR BIOL ECOL, V349, P344, DOI 10.1016/j.jembe.2007.05.024
Wahl M, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00292
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Zozaya-Valdes E, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00146
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 62
TC 89
Z9 98
PD APR 8
PY 2016
VL 7
AR 476
DI 10.3389/fmicb.2016.00476
UT WOS:000373594400001
DA 2025-07-30
ER
PT J
AU Herlemann, DPR
Lundin, D
Andersson, AF
Labrenz, M
Jürgens, K
AF Herlemann, Daniel P. R.
Lundin, Daniel
Andersson, Anders F.
Labrenz, Matthias
Juergens, Klaus
TI Phylogenetic Signals of Salinity and Season in Bacterial Community
Composition Across the Salinity Gradient of the Baltic Sea
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Understanding the key processes that control bacterial community composition has enabled predictions of bacterial distribution and function within ecosystems. In this study, we used the Baltic Sea as a model system to quantify the phylogenetic signal of salinity and season with respect to bacterioplankton community composition. The abundances of 16S rRNA gene amplicon sequencing reads were analyzed from samples obtained from similar geographic locations in July and February along a brackish to marine salinity gradient in the Baltic Sea. While there was no distinct pattern of bacterial richness at different salinities, the number of bacterial phylotypes in winter was significantly higher than in summer. Bacterial community composition in brackish vs. marine conditions, and in July vs. February was significantly different. Non-metric multidimensional scaling showed that bacterial community composition was primarily separated according to salinity and secondly according to seasonal differences at all taxonomic ranks tested. Similarly, quantitative phylogenetic clustering implicated a phylogenetic signal for both salinity and seasonality. Our results suggest that global patterns of bacterial community composition with respect to salinity and season are the result of phylogenetically clustered ecological preferences with stronger imprints from salinity.
C1 [Herlemann, Daniel P. R.; Labrenz, Matthias; Juergens, Klaus] Leibniz Inst Balt Sea Res, Warnemunde, Germany.
[Lundin, Daniel] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst, Kalmar, Sweden.
[Andersson, Anders F.] KTH Royal Inst Technol, Sch Biotechnol, Div Gene Technol, Sci Life Lab, Stockholm, Sweden.
RP Herlemann, DPR (corresponding author), Leibniz Inst Balt Sea Res, Warnemunde, Germany.
EM daniel.herlemann@io-warnemuende.de
CR Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], METHODS SEAWATER ANA
Bergen B, 2014, ENV MICROBIOL REP, V6, P625, DOI 10.1111/1758-2229.12178
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Dolan JR, 2001, J PLANKTON RES, V23, P1009, DOI 10.1093/plankt/23.9.1009
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Evans SE, 2014, ECOL LETT, V17, P155, DOI 10.1111/ele.12206
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Goldfarb KC, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00094
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Haverkamp THA, 2009, ISME J, V3, P397, DOI 10.1038/ismej.2008.118
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2013, MBIO, V4, DOI 10.1128/mBio.00569-12
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Hu YOO, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00679
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Kan J, 2007, APPL ENVIRON MICROB, V73, P6776, DOI 10.1128/AEM.00541-07
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
LAPRISE R, 1994, MAR ECOL PROG SER, V107, P67
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Lindh MV, 2013, ENV MICROBIOL REP, V5, P252, DOI 10.1111/1758-2229.12009
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Morrissey EM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01013
Muylaert K, 2009, ESTUAR COAST SHELF S, V82, P335, DOI 10.1016/j.ecss.2009.01.024
Philippot L, 2010, NAT REV MICROBIOL, V8, P523, DOI 10.1038/nrmicro2367
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Piwosz K, 2013, LIMNOL OCEANOGR, V58, P817, DOI 10.4319/lo.2013.58.3.0817
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
R CoreTeam, 2015, R: ALanguageandEnvironmentforStatisticalComputing, V3. 2. 1
Reissmann JH, 2009, PROG OCEANOGR, V82, P47, DOI 10.1016/j.pocean.2007.10.004
Remane A., 1934, Verhandlungen der Deutschen Zoologischen Gesellschaft Leipzig, V37, P34
Riemann L, 2008, APPL ENVIRON MICROB, V74, P503, DOI 10.1128/AEM.01983-07
Riemann L, 2002, AQUAT MICROB ECOL, V27, P219, DOI 10.3354/ame027219
Robertson CE, 2013, BIOINFORMATICS, V29, P3100, DOI 10.1093/bioinformatics/btt526
Salazar G, 2015, MOL ECOL, V24, P5692, DOI 10.1111/mec.13419
Schlitzer R., 2010, Ocean Data View
Schubert H, 2011, MAR POLLUT BULL, V62, P1948, DOI 10.1016/j.marpolbul.2011.06.033
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
SUTTLE CA, 1994, MICROBIAL ECOL, V28, P237, DOI 10.1007/BF00166813
Telesh I, 2013, ESTUAR COAST SHELF S, V135, P317, DOI 10.1016/j.ecss.2013.10.013
Telesh IV, 2011, MAR ECOL PROG SER, V421, P1, DOI 10.3354/meps08928
VASI F, 1994, AM NAT, V144, P432, DOI 10.1086/285685
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Wasmund N, 2011, J MARINE SYST, V87, P145, DOI 10.1016/j.jmarsys.2011.03.010
Weinbauer MG, 2002, APPL ENVIRON MICROB, V68, P1082, DOI 10.1128/AEM.68.3.1082-1087.2002
Yannarell AC, 2005, APPL ENVIRON MICROB, V71, P227, DOI 10.1128/AEM.71.1.227-239.2005
Zettler ML, 2014, HELGOLAND MAR RES, V68, P49, DOI 10.1007/s10152-013-0368-x
NR 64
TC 71
Z9 76
PD NOV 24
PY 2016
VL 7
AR 1883
DI 10.3389/fmicb.2016.01883
UT WOS:000388761400001
DA 2025-07-30
ER
PT J
AU Mena, C
Reglero, P
Balbín, R
Martín, M
Santiago, R
Sintes, E
AF Mena, Catalina
Reglero, Patricia
Balbin, Rosa
Martin, Melissa
Santiago, Rocio
Sintes, Eva
TI Dynamics of actively dividing prokaryotes in the western Mediterranean
Sea
SO SCIENTIFIC REPORTS
DT Article
AB Microbial community metabolism and functionality play a key role modulating global biogeochemical processes. However, the metabolic activities and contribution of actively growing prokaryotes to ecosystem energy fluxes remain underexplored. Here we describe the temporal and spatial dynamics of active prokaryotes in the different water masses of the Mediterranean Sea using a combination of bromodeoxyuridine labelling and 16S rRNA gene Illumina sequencing. Bulk and actively dividing prokaryotic communities were drastically different and depth stratified. Alteromonadales were rare in bulk communities (contributing 0.1% on average) but dominated the actively dividing community throughout the overall water column (28% on average). Moreover, temporal variability of actively dividing Alteromonadales oligotypes was evinced. SAR86, Actinomarinales and Rhodobacterales contributed on average 3-3.4% each to the bulk and 11, 8.4 and 8.5% to the actively dividing communities in the epipelagic zone, respectively. SAR11 and Nitrosopumilales contributed less to the actively dividing than to the bulk communities during all the study period. Noticeably, the large contribution of these two taxa to the total prokaryotic communities (23% SAR11 and 26% Nitrosopumilales), especially in the meso- and bathypelagic zones, results in important contributions to actively dividing communities (11% SAR11 and 12% Nitrosopumilales). The intense temporal and spatial variability of actively dividing communities revealed in this study strengthen the view of a highly dynamic deep ocean. Our results suggest that some rare or low abundant phylotypes from surface layers down to the deep sea can disproportionally contribute to the activity of the prokaryotic communities, exhibiting a more dynamic response to environmental changes than other abundant phylotypes, emphasizing the role they might have in community metabolism and biogeochemical processes.
C1 [Mena, Catalina; Reglero, Patricia; Balbin, Rosa; Martin, Melissa; Santiago, Rocio; Sintes, Eva] Inst Espanol Oceanog, Ctr Oceanog Balears, Ecosyst Oceanog Grp GRECO, Palma De Mallorca, Spain.
[Mena, Catalina] IFREMER Ctr Bretagne ZI, Technopole Brest Iroise Pointe du Diable,BP70, F-29280 Plouzane, France.
RP Mena, C (corresponding author), Inst Espanol Oceanog, Ctr Oceanog Balears, Ecosyst Oceanog Grp GRECO, Palma De Mallorca, Spain.; Mena, C (corresponding author), IFREMER Ctr Bretagne ZI, Technopole Brest Iroise Pointe du Diable,BP70, F-29280 Plouzane, France.
EM Catalina.Mena.Oliyer@ifremer.fr
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso-González IJ, 2010, BIOGEOSCIENCES, V7, P2101, DOI 10.5194/bg-7-2101-2010
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bakenhus I, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01771
Banning EC, 2010, FEMS MICROBIOL ECOL, V73, P254, DOI 10.1111/j.1574-6941.2010.00897.x
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buesseler KO, 2009, LIMNOL OCEANOGR, V54, P1210, DOI 10.4319/lo.2009.54.4.1210
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chen XW, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01763
Clausen AR, 2006, NUCLEOS NUCLEOT NUCL, V25, P1159, DOI 10.1080/15257770600894485
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
Coe A, 2016, LIMNOL OCEANOGR, V61, P1375, DOI 10.1002/lno.10302
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
Couradeau E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10542-0
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
De Corte D, 2013, ENV MICROBIOL REP, V5, P272, DOI 10.1111/1758-2229.12013
Emerson JB, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0285-3
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grashoff K., 1983, Methods of Seawater Analysis, P419
Hamasaki K, 2004, AQUAT MICROB ECOL, V35, P217, DOI 10.3354/ame035217
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Hatzenpichler R, 2014, ENVIRON MICROBIOL, V16, P2568, DOI 10.1111/1462-2920.12436
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Ivancic I, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy198
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Liu J, 2019, M CONT JURISPRUD CHI, P1, DOI [10.1007/978-981-13-3756-7, 10.1007/s42995-019-00004-3, 10.1007/978-981-13-3756-7_1]
Long RA, 2001, APPL ENVIRON MICROB, V67, P4975, DOI 10.1128/AEM.67.11.4975-4983.2001
López-Jurado JL, 2015, OCEAN SCI, V11, P897, DOI 10.5194/os-11-897-2015
Manca B, 2004, J MARINE SYST, V48, P83, DOI 10.1016/j.jmarsys.2003.11.025
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Mena C, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-96992-3
Mena C, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01749
Mestre M, 2018, P NATL ACAD SCI USA, V115, pE6799, DOI 10.1073/pnas.1802470115
Middelboe M, 2000, MICROBIAL ECOL, V40, P114
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2015, ENVIRON MICROBIOL, V17, P876, DOI 10.1111/1462-2920.12550
MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
Newton RJ, 2016, AQUAT MICROB ECOL, V78, P51, DOI 10.3354/ame01801
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pedros-Alio C, 2012, ANNU REV MAR SCI, V4
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
POLLARD PC, 1984, APPL ENVIRON MICROB, V48, P1076, DOI 10.1128/AEM.48.6.1076-1083.1984
Puig P, 1998, J MAR RES, V56, P639, DOI 10.1357/002224098765213612
Qin W, 2017, ENV MICROBIOL REP, V9, P250, DOI 10.1111/1758-2229.12525
Qin W, 2014, P NATL ACAD SCI USA, V111, P12504, DOI 10.1073/pnas.1324115111
Reichart NJ, 2020, ISME J, V14, P2851, DOI 10.1038/s41396-020-00749-1
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Reji L, 2019, ISME J, V13, P1144, DOI 10.1038/s41396-018-0311-x
Ruiz-González C, 2020, MOL ECOL, V29, P1820, DOI 10.1111/mec.15454
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Sebastián M, 2018, ENVIRON MICROBIOL, V20, P713, DOI 10.1111/1462-2920.14002
Smriga S, 2014, AQUAT MICROB ECOL, V72, P269, DOI 10.3354/ame01698
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Strickland J.D. H., 1968, A Practical Handbook of Seawater Analysis, V2nd
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tada Y, 2013, POLAR BIOL, V36, P691, DOI 10.1007/s00300-013-1294-8
Tada Y, 2012, J OCEANOGR, V68, P509, DOI 10.1007/s10872-012-0114-z
Teira E, 2006, LIMNOL OCEANOGR, V51, P2131, DOI 10.4319/lo.2006.51.5.2131
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Uchimiya M, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00231
Urbach E, 1999, APPL ENVIRON MICROB, V65, P1207
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Våge S, 2013, ENVIRON MICROBIOL, V15, P1842, DOI 10.1111/1462-2920.12077
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
WELLSBURY P, 1993, FEMS MICROBIOL ECOL, V12, P87
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Wu XP, 2020, FRONT PSYCHOL, V11, DOI 10.3389/fpsyg.2020.02230
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Zeder M, 2009, ENVIRON MICROBIOL, V11, P2676, DOI 10.1111/j.1462-2920.2009.01994.x
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 93
TC 4
Z9 4
PD FEB 8
PY 2022
VL 12
IS 1
AR 2064
DI 10.1038/s41598-022-06120-y
UT WOS:000756832600033
DA 2025-07-30
ER
PT J
AU Kanellopoulos, P
Bezverkhniaia, E
Abouzayed, A
Rosenström, U
Tolmachev, V
Orlova, A
AF Kanellopoulos, Panagiotis
Bezverkhniaia, Ekaterina
Abouzayed, Ayman
Rosenstro''m, Ulrika
Tolmachev, Vladimir
Orlova, Anna
TI Two Novel [68Ga]Ga-Labeled Radiotracers Based on
Metabolically Stable [Sar11]RM26 Antagonistic Peptide for
Diagnostic Positron Emission Tomography Imaging of GRPR-Positive
Prostate Cancer
SO ACS OMEGA
DT Article
AB Gastrin releasing peptide receptor (GRPR) is overexpressed in prostate cancer (PC-3) and can be used for diagnostic purposes. We herein present the design and preclinical evaluation of two novel NOTA/NODAGA-containing peptides suitable for labeling with the positron emission tomography (PET) radionuclide Ga-68. These analogs are based on the previously reported GRPR-antagonist DOTAGA-PEG2-[Sar(11)]RM26, developed for targeted radiotheraostic applications. Both NOTA-PEG2-[Sar(11)]RM26 and NODAGA-PEG2-[Sar(11)]RM26 were successfully labeled with Ga-68 and evaluated in vitro and in vivo using PC-3 cell models. Both, [Ga-68]Ga-NOTA-PEG2-[Sar(11)]RM26 and [Ga-68]Ga-NODAGA-PEG2-[Sar(11)]RM26 displayed high metal-chelate stability in phosphate buffered saline and against the EDTA-challenge. The two [Ga-68]Ga-labeled conjugates demonstrated highly GRPR-mediated uptake in vitro and in vivo and exhibited a slow internalization over time, typical for radioantagonistis. The [Ga-nat]Ga-loaded peptides displayed affinity in the low nanomole range for GRPR in competition binding experiments. The new radiotracers demonstrated biodistribution profiles suitable for diagnostic imaging shortly after administration with fast background clearance. Their high tumor uptake (13 +/- 1 and 15 +/- 3% IA/g for NOTA and NODAGA conjugates, respectively) and high tumor-to-blood ratios (60 +/- 10 and 220 +/- 70, respectively) 3 h pi renders them promising PET tracers for use in patients. Tumor-to-normal organ ratios were higher for [Ga-68]Ga-NODAGA-PEG2-[Sar(11)]RM26 than for the NOTA-containing counterpart. The performance of the two radiopeptides was further supported with the PET/CT images. In conclusion, [Ga-68]Ga-NODAGA-PEG2-[Sar(11)]RM26 is a promising PET imaging tracer for visualization of GRPR-expressing lesions with high imaging contrast shortly after administration.
C1 [Kanellopoulos, Panagiotis; Bezverkhniaia, Ekaterina; Abouzayed, Ayman; Rosenstro''m, Ulrika; Orlova, Anna] Uppsala Univ, Dept Med Chem, S-75123 Uppsala, Sweden.
[Tolmachev, Vladimir] Uppsala Univ, Dept Immunol Genet & Pathol, S-75237 Uppsala, Sweden.
[Orlova, Anna] Uppsala Univ, Sci Life Lab, S-75237 Uppsala, Sweden.
RP Orlova, A (corresponding author), Uppsala Univ, Dept Med Chem, S-75123 Uppsala, Sweden.; Orlova, A (corresponding author), Uppsala Univ, Sci Life Lab, S-75237 Uppsala, Sweden.
EM anna.orlova@ilk.uu.se
CR Abouzayed A, 2023, BIOMOLECULES, V13, DOI 10.3390/biom13071134
Ahmed HU, 2017, LANCET, V389, P815, DOI 10.1016/S0140-6736(16)32401-1
Bakker IL, 2021, J NUCL MED, V62, P1517, DOI 10.2967/jnumed.120.258814
Beer M, 2012, PROSTATE, V72, P318, DOI 10.1002/pros.21434
Borghesi M, 2017, EUR UROL, V71, P353, DOI 10.1016/j.eururo.2016.08.004
Burkett BJ, 2023, RADIOL-IMAG CANCER, V5, DOI 10.1148/rycan.220157
Crisan G, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23095023
Faviana P, 2021, FRONT ONCOL, V11, DOI 10.3389/fonc.2021.650249
Gao XM, 2023, EUR J NUCL MED MOL I, V50, P2177, DOI 10.1007/s00259-023-06142-2
Gourni E, 2014, J NUCL MED, V55, P1719, DOI 10.2967/jnumed.114.141242
Hennrich U, 2022, PHARMACEUTICALS-BASE, V15, DOI 10.3390/ph15101292
Hennrich U, 2021, PHARMACEUTICALS-BASE, V14, DOI 10.3390/ph14080713
Hoshi S, 2023, CURR ONCOL, V30, P7286, DOI 10.3390/curroncol30080529
Kelloff GJ, 2009, AM J ROENTGENOL, V192, P1455, DOI 10.2214/AJR.09.2579
Kinoshita Y, 2006, WORLD J SURG, V30, P628, DOI 10.1007/s00268-005-0544-5
Llinares M, 1999, J PEPT RES, V53, P275, DOI 10.1034/j.1399-3011.1999.00028.x
Maina T, 2016, EUR J NUCL MED MOL I, V43, P964, DOI 10.1007/s00259-015-3232-1
Mansi R, 2021, CANCERS, V13, DOI 10.3390/cancers13225766
Mansi R, 2011, EUR J NUCL MED MOL I, V38, P97, DOI 10.1007/s00259-010-1596-9
Markwalder R, 1999, CANCER RES, V59, P1152
Minamimoto R, 2018, J NUCL MED, V59, P803, DOI 10.2967/jnumed.117.197624
Nock BA, 2023, PHARMACEUTICALS-BASE, V16, DOI 10.3390/ph16050674
Olkowski C, 2023, SEMIN NUCL MED, V53, P644, DOI 10.1053/j.semnuclmed.2023.02.002
Price EW, 2014, CHEM SOC REV, V43, P260, DOI 10.1039/c3cs60304k
Sarkar S, 2016, BIOMED ENG COMPUT BI, V7, P1, DOI 10.4137/BECB.S34255
Schollhammer R, 2023, CANCERS, V15, DOI 10.3390/cancers15082345
Spitz A, 2023, CLIN J ONCOL NURS, V27, P539, DOI 10.1188/23.CJON.539-547
Stoykow C, 2016, THERANOSTICS, V6, P1641, DOI 10.7150/thno.14958
Sung H, 2021, CA-CANCER J CLIN, V71, P209, DOI 10.3322/caac.21660
Varasteh Z, 2015, NUCL MED BIOL, V42, P446, DOI 10.1016/j.nucmedbio.2014.12.009
Varasteh Z, 2013, BIOCONJUGATE CHEM, V24, P1144, DOI 10.1021/bc300659k
Verhoeven M, 2023, FRONT ONCOL, V13, DOI 10.3389/fonc.2023.1199432
Wu QS, 2024, ACAD RADIOL, V31, P544, DOI 10.1016/j.acra.2023.08.044
Zang J, 2018, CLIN NUCL MED, V43, P663, DOI 10.1097/RLU.0000000000002209
NR 34
TC 1
Z9 1
PD APR 10
PY 2024
VL 9
IS 16
BP 18608
EP 18616
DI 10.1021/acsomega.4c01348
EA APR 2024
UT WOS:001200269900001
DA 2025-07-30
ER
PT J
AU Suzuki, MT
Béjà, O
Taylor, LT
DeLong, EF
AF Suzuki, MT
Béjà, O
Taylor, LT
DeLong, EF
TI Phylogenetic analysis of ribosomal RNA operons from uncultivated coastal
marine bacterioplankton
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Analyses of small subunit ribosomal RNA genes (SSU rDNAs) have significantly influenced our understanding of the composition of aquatic microbial assemblages. Unfortunately, SSU rDNA sequences often do not have sufficient resolving power to differentiate closely related species. To address this general problem for uncultivated bacterioplankton taxa, we analysed and compared sequences of polymerase chain reaction (PCR)-generated and bacterial artificial chromosome (BAC)-derived clones that contained most of the SSU rDNAs, the internal transcribed spacer (ITS) and the large subunit ribosomal RNA gene (LSU rDNA). The phylogenetic representation in the rRNA operon PCR library was similar to that reported previously in coastal bacterioplankton SSU rDNA libraries. We observed good concordance between the phylogenetic relationships among coastal bactetioplankton inferred from SSU or LSU rDNA sequences. ITS sequences confirmed the close intragroup relationships among members of the SAR11, SAR116 and SAR86 clades that were predicted by SSU and LSU rDNA sequence analyses. We also found strong support for homologous recombination between the ITS regions of operons from the SAR11 clade.
C1 Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
RP DeLong, EF (corresponding author), Monterey Bay Aquarium Res Inst, 7700 Sandholdt Rd, Moss Landing, CA 95039 USA.
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
[Anonymous], 1988, CURRENT PROTOCOLS MO
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
BERGH O, 1989, NATURE, V340, P467, DOI 10.1038/340467a0
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 1991, NUCL ACID TECHNIQUES, P177
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P720, DOI 10.1128/jb.170.2.720-726.1988
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Gürtler V, 1999, GENE, V238, P241, DOI 10.1016/S0378-1119(99)00224-3
HARVEY S, 1988, J BACTERIOL, V170, P1235, DOI 10.1128/jb.170.3.1235-1238.1988
Jiang SC, 1998, APPL ENVIRON MICROB, V64, P2780
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
LeblondBourget N, 1996, INT J SYST BACTERIOL, V46, P102, DOI 10.1099/00207713-46-1-102
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
LUDWIG W, 1994, FEMS MICROBIOL REV, V15, P155, DOI 10.1016/0168-6445(94)90110-4
Luz SP, 1998, J BACTERIOL, V180, P2144, DOI 10.1128/JB.180.8.2144-2151.1998
Maidak BL, 1997, NUCLEIC ACIDS RES, V25, P109, DOI 10.1093/nar/25.1.109
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Roth A, 1998, J CLIN MICROBIOL, V36, P139, DOI 10.1128/JCM.36.1.139-147.1998
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
Suzuki M, 1998, APPL ENVIRON MICROB, V64, P4522
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Tesfaye M, 1997, CAN J MICROBIOL, V43, P526, DOI 10.1139/m97-075
Ueda K, 1999, J BACTERIOL, V181, P78, DOI 10.1128/JB.181.1.78-82.1999
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
NR 40
TC 135
Z9 152
PD MAY
PY 2001
VL 3
IS 5
BP 323
EP 331
DI 10.1046/j.1462-2920.2001.00198.x
UT WOS:000169352900004
DA 2025-07-30
ER
PT J
AU Selje, N
Simon, M
Brinkhoff, T
AF Selje, N
Simon, M
Brinkhoff, T
TI A newly discovered Roseobacter cluster in temperate and polar
oceans
SO NATURE
DT Article
AB Bacterioplankton phylotypes of alpha-Proteobacteria have been detected in various marine regions, but systematic biogeographical studies of their global distribution are missing. alpha-Proteobacteria comprise one of the largest fractions of heterotrophic marine bacteria(1,2) and include two clades, SAR11 and Roseobacter, which account for 26 and 16% of 16S ribosomal RNA gene clones retrieved from marine bacterioplankton(3). The SAR11 clade attracted much interest because related 16S rRNA gene clones were among the first groups of marine bacteria to be identified by cultivation-independent approaches(4) and appear to dominate subtropical surface bacterioplankton communities(5). Here we report on the global distribution of a newly discovered cluster affiliated to the Roseobacter clade, comprising only as-yet-uncultured phylotypes. Bacteria of this cluster occur from temperate to polar regions with highest abundance in the Southern Ocean, but not in tropical and subtropical regions. Between the south Atlantic subtropical front and Antarctica, we detected two distinct phylotypes, one north and one south of the polar front, indicating that two adjacent but different oceanic provinces allow the persistence of distinct but closely related phylotypes. These results suggest that the global distribution of major marine bacterioplankton components is related to oceanic water masses and controlled by their environmental and biogeochemical properties.
C1 Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26111 Oldenburg, Germany.
RP Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, POB 2503, D-26111 Oldenburg, Germany.
EM m.simon@icbm.de
CR Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuchs BM, 2000, APPL ENVIRON MICROB, V66, P3603, DOI 10.1128/AEM.66.8.3603-3607.2000
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Glockner FO, 1996, SYST APPL MICROBIOL, V19, P403
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gosink JJ, 1997, SYST APPL MICROBIOL, V20, P356, DOI 10.1016/S0723-2020(97)80003-3
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
LONGHURST A, 1998, ECOLOGICAL GEOGRAPHY, P339
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1995, ARCH MICROBIOL, V164, P165, DOI 10.1007/BF02529967
Muyzer G., 1998, MOL MICROBIAL ECOLOG, P1
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
Ward BB, 2002, APPL ENVIRON MICROB, V68, P4153, DOI 10.1128/AEM.68.8.4153-4157.2002
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
[No title captured]
NR 28
TC 220
Z9 240
PD JAN 29
PY 2004
VL 427
IS 6973
BP 445
EP 448
DI 10.1038/nature02272
UT WOS:000188470500044
DA 2025-07-30
ER
PT J
AU Zhang, R
Wu, QL
Piceno, YM
Desantis, TZ
Saunders, FM
Andersen, GL
Liu, WT
AF Zhang, Rui
Wu, Qinglong
Piceno, Yvette M.
Desantis, Todd Z.
Saunders, F. Michael
Andersen, Gary L.
Liu, Wen-Tso
TI Diversity of bacterioplankton in contrasting Tibetan lakes revealed by
high-density microarray and clone library analysis
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Tibetan lakes represent a unique microbial environment and are a good ecosystem to investigate the microbial diversity of high mountain lakes and their relationship with environmental factors. The diversity and community structure of bacterioplankton in Tibetan lakes was determined using DNA fingerprinting analysis, high-density 16S rRNA gene microarray (PhyloChip) analysis, and extensive clone library analysis of bacterial 16S rRNA genes. A previously unseen high microbial diversity (1732 operational taxonomic units based on PhyloChip data) and numerous novel bacterial 16S rRNA gene sequences were observed. Abundant SAR11-like sequences retrieved from saline Lake Qinghai demonstrated a unique SAR11 phylogenetic sister clade related to the freshwater LD12 clade. Water chemistry (e.g. salinity) and altitude played important roles in the selection of bacterial taxa (both presence and relative abundance) in Tibetan lakes. The ubiquity and uniqueness of bacterial taxa, as well as the correlation between environmental factors and bacterial taxa, was observed to vary gradually with different phylogenetic levels. Our study suggested high microbial cosmopolitanism and high endemicity observed at higher and lower phylogenetic levels, respectively.
C1 [Zhang, Rui; Wu, Qinglong; Saunders, F. Michael; Liu, Wen-Tso] Natl Univ Singapore, Div Environm Sci & Engn, Singapore 117548, Singapore.
[Zhang, Rui] Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Wu, Qinglong] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing, Jiangsu, Peoples R China.
[Piceno, Yvette M.; Desantis, Todd Z.; Andersen, Gary L.] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Div Earth Sci, Dept Ecol, Berkeley, CA 94720 USA.
[Liu, Wen-Tso] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA.
RP Liu, WT (corresponding author), Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA.
EM wtliu@illinois.edu
CR [Anonymous], 2004, UPLIFTING TIBETAN PL
[Anonymous], 2011, PLOS ONE
Auguet JC, 2010, ISME J, V4, P182, DOI 10.1038/ismej.2009.109
Brodie EL, 2007, P NATL ACAD SCI USA, V104, P299, DOI 10.1073/pnas.0608255104
Brodie EL, 2006, APPL ENVIRON MICROB, V72, P6288, DOI 10.1128/AEM.00246-06
Clarke K.R., 2001, PRIMER V5 USER MANUA
DeSantis TZ, 2007, MICROB ECOL, V53, P371, DOI 10.1007/s00248-006-9134-9
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Greenberg A. E., 1992, STANDARD METHODS EXA
Hahn MW, 2006, CURR OPIN BIOTECH, V17, P256, DOI 10.1016/j.copbio.2006.05.006
Jiang HC, 2008, ENVIRON MICROBIOL, V10, P2355, DOI 10.1111/j.1462-2920.2008.01661.x
Jiang HC, 2007, ENVIRON MICROBIOL, V9, P2603, DOI 10.1111/j.1462-2920.2007.01377.x
Jiang HC, 2006, APPL ENVIRON MICROB, V72, P3832, DOI 10.1128/AEM.02869-05
Jiang HC, 2009, GEOMICROBIOL J, V26, P289, DOI 10.1080/01490450902892662
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Liu XB, 2010, GEOMICROBIOL J, V27, P669, DOI 10.1080/01490450903528000
Liu YQ, 2009, GEOMICROBIOL J, V26, P131, DOI 10.1080/01490450802660201
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Sagaram US, 2009, APPL ENVIRON MICROB, V75, P1566, DOI 10.1128/AEM.02404-08
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Saldanha AJ, 2004, BIOINFORMATICS, V20, P3246, DOI 10.1093/bioinformatics/bth349
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Tsiamis G, 2008, RES MICROBIOL, V159, P609, DOI 10.1016/j.resmic.2008.09.007
Wang JJ, 2011, J BIOGEOGR, V38, P595, DOI 10.1111/j.1365-2699.2010.02423.x
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Wu QL, 2006, APPL ENVIRON MICROB, V72, P5478, DOI 10.1128/AEM.00767-06
Wu QLL, 2010, MICROB ECOL, V59, P614, DOI 10.1007/s00248-009-9603-z
Wu QLL, 2009, MICROB ECOL, V58, P569, DOI 10.1007/s00248-009-9526-8
Xing P, 2009, APPL ENVIRON MICROB, V75, P7017, DOI 10.1128/AEM.01544-09
Yergeau E, 2009, ISME J, V3, P340, DOI 10.1038/ismej.2008.111
Zhang R, 2008, FEMS MICROBIOL ECOL, V65, P169, DOI 10.1111/j.1574-6941.2008.00493.x
Zhang R, 2007, FEMS MICROBIOL ECOL, V61, P496, DOI 10.1111/j.1574-6941.2007.00353.x
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 41
TC 36
Z9 41
PD NOV
PY 2013
VL 86
IS 2
BP 277
EP 287
DI 10.1111/1574-6941.12160
UT WOS:000325986500010
DA 2025-07-30
ER
PT J
AU Hogle, SL
Thrash, JC
Dupont, CL
Barbeau, KA
AF Hogle, Shane L.
Thrash, J. Cameron
Dupont, Chris L.
Barbeau, Katherine A.
TI Trace Metal Acquisition by Marine Heterotrophic Bacterioplankton with
Contrasting Trophic Strategies
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Heterotrophic bacteria in the SAR11 and Roseobacter lineages shape the marine carbon, nitrogen, phosphorous, and sulfur cycles, yet they do so having adopted divergent ecological strategies. Currently, it is unknown whether these globally significant groups partition into specific niches with respect to micronutrients (e.g., trace metals) and how that may affect marine trace metal cycling. Here, we used comparative genomics to identify diverse iron, cobalt, nickel, copper, and zinc uptake capabilities in SAR11 and Roseobacter genomes and uncover surprising unevenness within and between lineages. The strongest predictors for the extent of the metal uptake gene content are the total number of transporters per genome, genome size, total metal transporters, and GC content, but numerous exceptions exist in both groups. Taken together, our results suggest that SAR11 have strongly minimized their trace metal uptake versatility, with high-affinity zinc uptake being a unique exception. The larger Roseobacter genomes have greater trace metal uptake versatility on average, but they also appear to have greater plasticity, resulting in phylogenetically similar genomes having largely different capabilities. Ultimately, phylogeny is predictive of the diversity and extent of 20 to 33% of all metal uptake systems, suggesting that specialization in metal utilization mostly occurred independently from overall lineage diversification in both SAR11 and Roseobacter. We interpret these results as reflecting relatively recent trace metal niche partitioning in both lineages, suggesting that concentrations and chemical forms of metals in the marine environment are important factors shaping the gene content of marine heterotrophic Alphaproteobacteria of the SAR11 and Roseobacter lineages.
C1 [Hogle, Shane L.; Barbeau, Katherine A.] Univ Calif San Diego, Scripps Inst Oceanog, Geosci Res Div, La Jolla, CA 92093 USA.
[Thrash, J. Cameron] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
[Dupont, Chris L.] J Craig Venter Inst, La Jolla, CA USA.
RP Hogle, SL (corresponding author), Univ Calif San Diego, Scripps Inst Oceanog, Geosci Res Div, La Jolla, CA 92093 USA.
EM shogle@ucsd.edu
CR AZAM F, 1981, MAR ECOL PROG SER, V6, P213, DOI 10.3354/meps006213
Baichoo N, 2002, J BACTERIOL, V184, P5826, DOI 10.1128/JB.184.21.5826-5832.2002
Brito B, 2010, J BACTERIOL, V192, P925, DOI 10.1128/JB.01045-09
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cadieux N, 2002, J BACTERIOL, V184, P706, DOI 10.1128/JB.184.3.706-717.2002
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carpenter BM, 2009, INFECT IMMUN, V77, P2590, DOI 10.1128/IAI.00116-09
Cartron ML, 2006, BIOMETALS, V19, P143, DOI 10.1007/s10534-006-0003-2
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Clarke TE, 2002, J BIOL CHEM, V277, P13966, DOI 10.1074/jbc.M109385200
Claverys JP, 2001, RES MICROBIOL, V152, P231, DOI 10.1016/S0923-2508(01)01195-0
COALE KH, 1988, LIMNOL OCEANOGR, V33, P1084, DOI 10.4319/lo.1988.33.5.1084
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Cordero OX, 2012, P NATL ACAD SCI USA, V109, P20059, DOI 10.1073/pnas.1213344109
Crosa JH, 2002, MICROBIOL MOL BIOL R, V66, P223, DOI 10.1128/MMBR.66.2.223-249.2002
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Dintilhac A, 1997, MOL MICROBIOL, V25, P727, DOI 10.1046/j.1365-2958.1997.5111879.x
Dupont CL, 2015, ISME J, V9, P1076, DOI 10.1038/ismej.2014.198
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eitinger T, 2005, BIOMETALS, V18, P399, DOI 10.1007/s10534-005-3714-x
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Forbes JR, 2001, TRENDS MICROBIOL, V9, P397, DOI 10.1016/S0966-842X(01)02098-4
Fritz SA, 2010, CONSERV BIOL, V24, P1042, DOI 10.1111/j.1523-1739.2010.01455.x
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gledhill M, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00069
Grass G, 2005, J BACTERIOL, V187, P1604, DOI 10.1128/JB.187.5.1604-1611.2005
Grosse C, 2006, MOL MICROBIOL, V62, P120, DOI 10.1111/j.1365-2958.2006.05326.x
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hassani BK, 2010, J BIOL CHEM, V285, P19330, DOI 10.1074/jbc.M110.116020
Hogle SL, 2014, METALLOMICS, V6, P1107, DOI 10.1039/c4mt00031e
Hopkinson BM, 2012, ENVIRON MICROBIOL, V14, P114, DOI 10.1111/j.1462-2920.2011.02539.x
Jordan IK, 2000, TRENDS BIOCHEM SCI, V25, P480, DOI 10.1016/S0968-0004(00)01662-5
Kim JM, 2015, ENVIRON SCI TECHNOL, V49, P10894, DOI 10.1021/acs.est.5b02098
Kümmerli R, 2014, ECOL LETT, V17, P1536, DOI 10.1111/ele.12371
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Learman DR, 2014, ENV MICROBIOL REP, V6, P501, DOI 10.1111/1758-2229.12164
Lee JW, 2007, BIOMETALS, V20, P485, DOI 10.1007/s10534-006-9070-7
Luo HW, 2015, TRENDS MICROBIOL, V23, P577, DOI 10.1016/j.tim.2015.05.004
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Luo HW, 2014, ISME J, V8, P1428, DOI 10.1038/ismej.2013.248
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Ma Z, 2009, CHEM REV, V109, P4644, DOI 10.1021/cr900077w
Mackey KRM, 2015, P NATL ACAD SCI USA, V112, P9944, DOI 10.1073/pnas.1509448112
Marchler-Bauer A, 2015, NUCLEIC ACIDS RES, V43, pD222, DOI 10.1093/nar/gku1221
Markowitz VM, 2012, NUCLEIC ACIDS RES, V40, pD115, DOI 10.1093/nar/gkr1044
Martiny AC, 2013, ISME J, V7, P830, DOI 10.1038/ismej.2012.160
Miethke M, 2011, BIOCHEMISTRY-US, V50, P10951, DOI 10.1021/bi201517h
Moore JK, 2001, DEEP-SEA RES PT II, V49, P463
Morel FMM, 2003, SCIENCE, V300, P944, DOI 10.1126/science.1083545
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
NAVARRO C, 1993, MOL MICROBIOL, V9, P1181, DOI 10.1111/j.1365-2958.1993.tb01247.x
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nies DH, 2007, MOLECULAR MICROBIOLO
NISSEN H, 1984, MAR ECOL PROG SER, V16, P155, DOI 10.3354/meps016155
Oksanen J., 2010, Vegan: Community ecology package
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Oves-Costales D, 2009, CHEM COMMUN, P6530, DOI 10.1039/b913092f
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Patzer SI, 1998, MOL MICROBIOL, V28, P1199, DOI 10.1046/j.1365-2958.1998.00883.x
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Radford DS, 2003, FEMS MICROBIOL LETT, V220, P105, DOI 10.1016/S0378-1097(03)00095-8
Rensing C, 2000, P NATL ACAD SCI USA, V97, P652, DOI 10.1073/pnas.97.2.652
Ribalet F, 2015, P NATL ACAD SCI USA, V112, P8008, DOI 10.1073/pnas.1424279112
Rodionov DA, 2006, J BACTERIOL, V188, P317, DOI 10.1128/JB.188.1.317-327.2006
Rodionov DA, 2003, J BIOL CHEM, V278, P41148, DOI 10.1074/jbc.M305837200
Rodionov DA, 2006, PLOS COMPUT BIOL, V2, P1568, DOI 10.1371/journal.pcbi.0020163
Roe KL, 2013, APPL ENVIRON MICROB, V79, P5753, DOI 10.1128/AEM.01562-13
Roy EG, 2008, LIMNOL OCEANOGR, V53, P89, DOI 10.4319/lo.2008.53.1.0089
RUE EL, 1995, MAR CHEM, V50, P117, DOI 10.1016/0304-4203(95)00031-L
Rusch Douglas B, 2010, Proc Natl Acad Sci U S A, V107, P16184, DOI 10.1073/pnas.1009513107
Saier MH, 2014, NUCLEIC ACIDS RES, V42, pD251, DOI 10.1093/nar/gkt1097
Saito MA, 2002, GEOCHIM COSMOCHIM AC, V66, P1943, DOI 10.1016/S0016-7037(02)00829-3
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Shapiro BJ, 2012, SCIENCE, V336, P48, DOI 10.1126/science.1218198
Slightom RN, 2009, APPL ENVIRON MICROB, V75, P6027, DOI 10.1128/AEM.01508-09
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
TAM R, 1993, MICROBIOL REV, V57, P320, DOI 10.1128/MMBR.57.2.320-346.1993
Thole S, 2012, ISME J, V6, P2229, DOI 10.1038/ismej.2012.62
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vraspir JM, 2009, ANNU REV MAR SCI, V1, P43, DOI 10.1146/annurev.marine.010908.163712
Xia Y, 2011, J BIOL CHEM, V286, DOI 10.1074/jbc.M111.222166
Xue HB, 2001, ENVIRON SCI TECHNOL, V35, P539, DOI 10.1021/es0014638
Yawata Y, 2014, P NATL ACAD SCI USA, V111, P5622, DOI 10.1073/pnas.1318943111
Zawadzka AM, 2009, BIOCHEMISTRY-US, V48, P3645, DOI 10.1021/bi8018674
Zimmerman AE, 2013, ISME J, V7, P1187, DOI 10.1038/ismej.2012.176
NR 92
TC 38
Z9 41
PD MAR
PY 2016
VL 82
IS 5
BP 1613
EP 1624
DI 10.1128/AEM.03128-15
UT WOS:000373338800025
DA 2025-07-30
ER
PT J
AU Santic, D
Stojan, I
Tomas, AV
Roje, BM
Mujakic, I
Villena-Alemany, C
Koblízek, M
Jozic, S
Solic, M
Sestanovic, S
AF Santic, Danijela
Stojan, Iva
Tomas, Ana Vrdoljak
Roje, Blanka Milic
Mujakic, Izabela
Villena-Alemany, Cristian
Koblizek, Michal
Jozic, Slaven
Solic, Mladen
Sestanovic, Stefanija
TI Contribution of different bacterial groups in the carbon flow through
the microbial food web
SO ESTUARINE COASTAL AND SHELF SCIENCE
DT Article
AB Bacteria greatly contributes to the transfer of dissolved organic carbon to the upper trophic levels. Nevertheless, little is known about the contribution of specific bacterial groups. Here, we conducted three seasonal experiments (both, microcosm and mesocosm) in the coastal area of the central Adriatic with the aim of determining the contribution of selected bacterial groups to carbon flow through the microbial food web. We assessed the growth rates of four bacterial groups (Bacteroidota, SAR11, Rhodobacteraceae, and Gammaproteobacteria), as well as aerobic anoxygenic phototrophs, and their contributions to biomass production and carbon transfer to upper trophic levels. For the first time, we reported a significant contribution of aerobic anoxygenic phototrophs to the carbon flow, especially during the summer. Under initial winter conditions, SAR11 contributed the most to bacterial biomass production, while Gammaproteobacteria were the primary contributors to grazing loss and served as the preferred prey. As temperature increased, the contribution of Gammaproteobacteria and Bacteroidota to bacterial biomass production also increased. Regarding grazing loss, SAR11 and Bacteroidota were the dominant contributors in spring, whereas Gammaproteobacteria and Rhodobacteraceae played the most significant role during summer. Under nutrientenriched conditions, SAR11 contributed the most to both bacterial biomass production and grazing loss during winter. However, with rising temperatures, Gammaproteobacteria, Rhodobacteraceae and Bacteroidetes became the primary contributors to bacterial biomass production and Gammaproteobacteria and Bacteroidetes in grazing loss. Our estimates suggest that Gammaproteobacteria and the SAR11 clade were more significantly impacted by grazing, whereas Bacteroidota and Rhodobacteraceae were equally influenced by both nutrient availability and grazing pressure. Therefore, the results obtained in this study are useful for evaluating the potential contributions of diverse bacterial groups to carbon cycling in marine ecosystems under changing environmental conditions, particularly during shifts in seawater temperature. We further analyzed the dynamics of bacterial community composition in relation to varying environmental factors.
C1 [Santic, Danijela; Tomas, Ana Vrdoljak; Roje, Blanka Milic; Jozic, Slaven; Solic, Mladen; Sestanovic, Stefanija] Inst Oceanog & Fisheries, Setaliste Ivana Mestrovica 63, Split 21000, Croatia.
[Stojan, Iva] Univ Split, Fac Sci, Rudera Boskovica 33, Split 21000, Croatia.
[Mujakic, Izabela; Villena-Alemany, Cristian; Koblizek, Michal] Czech Acad Sci, Inst Microbiol, Novohradska 237, Trebon 37901, Czech Republic.
RP Santic, D (corresponding author), Setaliste Ivana Mestrovica 63, Split 21000, Croatia.
EM segvic@izor.hr; ivastojan77@gmail.com; ana.vrdoljak@izor.hr;
broje@izor.hr; mujakic@alga.cz; villena@alga.cz; I.koblizek@alga.cz;
sjozic@izor.hr; solic@izor.hr; sesta@izor.hr
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Arandia-Gorostidi N, 2017, ISME J, V11, P641, DOI 10.1038/ismej.2016.156
Babic I, 2018, J MARINE SYST, V184, P15, DOI 10.1016/j.jmarsys.2018.04.002
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
BILLEN G, 1990, HYDROBIOLOGIA, V207, P37, DOI 10.1007/BF00041438
Bisanz J.E., 2018, qiime2R: Importing QIIME2 Artifacts and Associated Data into R Sessions, V99, P13
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P2050, DOI 10.1111/j.1462-2920.2007.01321.x
Bruwer J.D., 2023, mSystems, V8
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Clarke K.R., 2015, PRIMER-e, V20
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
DUCKLOW HW, 1986, SCIENCE, V232, P865, DOI 10.1126/science.232.4752.865
Fecskeová LK, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00934-21
Ferrera I, 2017, ISME J, V11, P2391, DOI 10.1038/ismej.2017.79
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC, V2nd, P45, DOI DOI 10.1002/9780470281840.CH3
Gasol J.M., 2015, Springer Protoc. Handbooks, P1, DOI DOI 10.1007/8623_2015_139
Gasol JM, 2002, ANTON LEEUW INT J G, V81, P435, DOI 10.1023/A:1020578418898
GASOL JM, 1994, MAR ECOL PROG SER, V113, P291, DOI 10.3354/meps113291
Gasol JM, 2008, AQUAT MICROB ECOL, V53, P21, DOI 10.3354/ame01230
Gazulla C.R., 2023, Ocean, V3
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
Grob C, 2007, MAR ECOL PROG SER, V332, P53, DOI 10.3354/meps332053
HARASHIMA K, 1978, AGR BIOL CHEM TOKYO, V42, P1627, DOI 10.1080/00021369.1978.10863222
Hill PG, 2010, FEMS MICROBIOL LETT, V306, P82, DOI 10.1111/j.1574-6968.2010.01940.x
Hojerová E, 2011, ENVIRON MICROBIOL, V13, P2717, DOI 10.1111/j.1462-2920.2011.02540.x
Jurgens K., 2008, Microbial Ecology of the Oceans, P383, DOI DOI 10.1002/9780470281840.CH11
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
KIRCHMAN DL, 1993, DEEP-SEA RES PT I, V40, P967, DOI 10.1016/0967-0637(93)90084-G
Koblízek M, 2024, APPL ENVIRON MICROB, V90, DOI 10.1128/aem.00032-24
Koblízek M, 2007, ENVIRON MICROBIOL, V9, P2401, DOI 10.1111/j.1462-2920.2007.01354.x
Koblízek M, 2015, FEMS MICROBIOL REV, V39, P854, DOI 10.1093/femsre/fuv032
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
LAHTI L, 2017, Tools Microbiome Anal R
Lami R, 2009, AQUAT MICROB ECOL, V55, P31, DOI 10.3354/ame01282
LANDRY MR, 1982, MAR BIOL, V67, P283, DOI 10.1007/BF00397668
LANDRY MR, 1995, MAR ECOL PROG SER, V120, P53, DOI 10.3354/meps120053
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
LEGENDRE L, 1995, OPHELIA, V41, P153, DOI 10.1080/00785236.1995.10422042
Li WKW, 1998, LIMNOL OCEANOGR, V43, P1746, DOI 10.4319/lo.1998.43.7.1746
Li WKW, 2001, DEEP-SEA RES PT II, V48, P2271, DOI 10.1016/S0967-0645(00)00180-6
Luna GM, 2015, REND LINCEI-SCI FIS, V26, P49, DOI 10.1007/s12210-014-0333-x
MAGAZZU G, 1995, AQUAT MICROB ECOL, V9, P97, DOI 10.3354/ame009097
MANLY BFJ, 1974, BIOMETRICS, V30, P281, DOI 10.2307/2529649
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Masín M, 2006, AQUAT MICROB ECOL, V45, P247, DOI 10.3354/ame045247
Matek A, 2023, WATER-SUI, V15, DOI 10.3390/w15122299
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Morán XAG, 2010, AQUAT MICROB ECOL, V58, P229, DOI 10.3354/ame01374
Morán XAG, 2009, FEMS MICROBIOL ECOL, V67, P43, DOI 10.1111/j.1574-6941.2008.00601.x
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Oksanen J., 2010, Vegan: Community ecology package
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Piwosz K, 2022, ISME J, V16, P1046, DOI 10.1038/s41396-021-01142-2
Piwosz K, 2018, ENVIRON MICROBIOL, V20, P724, DOI 10.1111/1462-2920.14003
Pomeroy LR, 2007, OCEANOGRAPHY, V20, P28, DOI 10.5670/oceanog.2007.45
Pomeroy LR, 2001, AQUAT MICROB ECOL, V23, P187, DOI 10.3354/ame023187
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2014, R: a language and environment for statistical computing
Robeson MS II, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009581
Sánchez O, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76590-5
Sánchez O, 2017, ENV MICROBIOL REP, V9, P300, DOI 10.1111/1758-2229.12535
Santic D, 2014, MEDITERR MAR SCI, V15, P179
Santic D, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-34704-9
Santic D, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90863-7
Santic D, 2013, HELGOLAND MAR RES, V67, P471, DOI 10.1007/s10152-012-0336-x
Santic D, 2012, ACTA ADRIAT, V53, P25
Sestanovic S, 2025, MEDITERR MAR SCI, V26, DOI 10.12681/mms.38158
SHIBA T, 1979, APPL ENVIRON MICROB, V38, P43, DOI 10.1128/AEM.38.1.43-45.1979
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Skejic S, 2024, BIOLOGY-BASEL, V13, DOI 10.3390/biology13070493
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Solic M, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8040510
Solic M, 2017, J MARINE SYST, V173, P81, DOI [10.1016/jjmarsys.2017.01.001, 10.1016/j.jmarsys.2017.01.001]
Solic M, 2015, J MAR BIOL ASSOC UK, V95, P1565, DOI 10.1017/S0025315415000442
Solic M, 2009, AQUAT MICROB ECOL, V58, P15, DOI 10.3354/ame01342
Stegman MR, 2014, ISME J, V8, P2339, DOI 10.1038/ismej.2014.75
STOECKER DK, 1990, J PLANKTON RES, V12, P891, DOI 10.1093/plankt/12.5.891
Stojan I, 2024, ENVIRON MICROBIOME, V19, DOI 10.1186/s40793-024-00573-6
Strickland J.D.H., 1968, B FISH RES BOARD CAN, V167, P310, DOI [10.1002/iroh.19700550118, DOI 10.1002/IROH.19700550118]
Talarmin A, 2011, BIOGEOSCIENCES, V8, P253, DOI 10.5194/bg-8-253-2011
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
ter Braak C.J.F., 2012, POWER
Tomas AV, 2023, SCI TOTAL ENVIRON, V861, DOI 10.1016/j.scitotenv.2022.160593
Tomas AV, 2019, DEEP-SEA RES PT II, V164, P112, DOI 10.1016/j.dsr2.2019.06.001
Vilibic I, 2012, BIOGEOSCIENCES, V9, P2085, DOI 10.5194/bg-9-2085-2012
Villena-Alemany C, 2024, MICROBIOME, V12, DOI 10.1186/s40168-024-01786-0
Wang FQ, 2024, MICROBIOME, V12, DOI 10.1186/s40168-024-01757-5
WHITE PA, 1991, MICROBIAL ECOL, V21, P99, DOI 10.1007/BF02539147
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Zhang CLL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01108
Zubkov MV, 2006, AQUAT MICROB ECOL, V43, P23, DOI 10.3354/ame043023
Zubkov MV, 2000, PROG OCEANOGR, V45, P369, DOI 10.1016/S0079-6611(00)00008-2
NR 102
TC 0
Z9 0
PD JUL 15
PY 2025
VL 318
AR 109228
DI 10.1016/j.ecss.2025.109228
EA MAR 2025
UT WOS:001448531900001
DA 2025-07-30
ER
PT J
AU Brown, MV
Fuhrman, JA
AF Brown, MV
Fuhrman, JA
TI Marine bacterial microdiversity as revealed by internal transcribed
spacer analysis
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB A growing body of evidence suggests analysis of 16S rRNA gene sequences provides only a conservative estimate of the actual genetic diversity existing within microbial communities. We examined the less conserved internal transcribed spacer (ITS) region of the ribosomal operon to determine the impact microdiversity may have on our view of marine microbial consortia. Analysis of over 500 ITS sequences and 250 associated 16S rRNA gene sequences from an oceanic time series station in the San Pedro Channel, California, USA, revealed that the community in this region is composed of large numbers of distinct lineages, with more than 1000 lineages estimated from 3 clusters alone (the SAR11 clade, the Prochlorococcus low-B/A clade 1, and the Roseobacter NAC11-7 clade). Although we found no instances where divergent ITS sequences were associated with identical 16S rRNA gene sequences, the ITS region showed much greater pairwise divergence between clones. By comparison to our 16S rRNA gene-ITS region linked database, we were able to place an ITS sequences into a phylogenetic framework, allowing them to act as an alternative molecular marker with enhanced resolution. Comparison of SAR11 clade ITS sequences with those available in GenBank indicated phylogenetic groupings based not only on depth but also on geography, potentially indicating localized differentiation or adaptation.
C1 Univ So Calif, Wrigley Inst Environm Studies, Los Angeles, CA 90089 USA.
Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
RP Univ Hawaii, NASA, Astrobiol Inst, Honolulu, HI 96822 USA.
EM mbrown@ifa.hawaii.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
[Anonymous], 2004, PHYLIP PHYLOGENY INF
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Feil EJ, 2004, NAT REV MICROBIOL, V2, P483, DOI 10.1038/nrmicro904
Feil EJ, 2003, J BACTERIOL, V185, P3307, DOI 10.1128/JB.185.11.3307-3316.2003
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Hugenholtz P, 2002, GENOME BIOL, V3
Hughes JB, 2001, APPL ENVIRON MICROB, V67, P4399, DOI 10.1128/AEM.67.10.4399-4406.2001
Jaspers E, 2004, APPL ENVIRON MICROB, V70, P4831, DOI 10.1128/AEM.70.8.4831-4839.2004
Keswani J, 2001, INT J SYST EVOL MICR, V51, P667, DOI 10.1099/00207713-51-2-667
Kitano H, 2004, NAT REV GENET, V5, P826, DOI 10.1038/nrg1471
Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Schloter M, 2000, FEMS MICROBIOL REV, V24, P647, DOI 10.1111/j.1574-6976.2000.tb00564.x
Seurinck S, 2003, APPL ENVIRON MICROB, V69, P4942, DOI 10.1128/AEM.69.8.4942-4950.2003
SILKE P, 2004, APPL ENVIRON MICROB, V70, P3360
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Ward DM, 1998, MICROBIOL MOL BIOL R, V62, P1353, DOI 10.1128/MMBR.62.4.1353-1370.1998
NR 31
TC 101
Z9 112
PD NOV 11
PY 2005
VL 41
IS 1
BP 15
EP 23
DI 10.3354/ame041015
UT WOS:000233696000002
DA 2025-07-30
ER
PT J
AU Lefort, T
Gasol, JM
AF Lefort, Thomas
Gasol, Josep M.
TI Global-scale distributions of marine surface bacterioplankton groups
along gradients of salinity, temperature, and chlorophyll: a
meta-analysis of fluorescence in situ hybridization studies
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB We used literature data on marine bacterial (sub) group abundances, as determined by fluorescence in situ hybridization, to test whether the ecological variability of the different subgroups was similar to that of the bacterial community as a whole. Patterns of 6 major groups are described (Alpha-, Beta-, Gammaproteobacteria and Bacteroidetes, as well as Rhodobacteraceae and SAR11) and related to environmental variables such as chlorophyll a (chl a) concentration, salinity, and temperature, distinguishing between coastal or open-ocean environments. Coastal ecosystems exhibited higher relative abundances (average % of DAPI counts) of Bacteroidetes (23 %), Beta- (11 %) and Gammaproteobacteria (10 %), and Rhodobacteraceae (6%), while significantly higher contributions of Alphaproteobacteria and SAR11 (32 %) were on average enumerated offshore. Multiple regression analyses showed significant explanatory power of chl a and temperature on total and SAR11 absolute abundances (expressed as cells ml(-1)), and of chl a and salinity levels on absolute abundances of Betaproteobacteria and Rhodobacteraceae. Other analyses revealed increasing contribution of Gammaproteobacteria for increasing temperatures and high temperature avoidance for Betaproteobacteria. Significantly different log-log regression slopes were found between bacterial group absolute abundances and chl a concentration at a global scale, ranging from 0.13 +/- 0.04 (SE) for SAR11 to 0.53 +/- 0.08 for Betaproteobacteria. The different patterns observed for the different groups, in coastal and open-ocean environments, suggest different niche preferences by each group as well as a coherent response to environmental factors.
C1 [Lefort, Thomas; Gasol, Josep M.] CSIC, Inst Ciencies Mar, Dept Marine Biol & Oceanog, Barcelona, Catalonia, Spain.
RP Lefort, T (corresponding author), CSIC, Inst Ciencies Mar, Dept Marine Biol & Oceanog, Barcelona, Catalonia, Spain.
EM thlefort@icm.csic.es
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Agawin NSR, 2006, DEEP-SEA RES PT II, V53, P2248, DOI 10.1016/j.dsr2.2006.05.040
Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alfreider A, 1996, APPL ENVIRON MICROB, V62, P2138, DOI 10.1128/AEM.62.6.2138-2144.1996
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
[Anonymous], 1998, BIOSTAT ANAL
Baltar F, 2007, AQUAT MICROB ECOL, V50, P63, DOI 10.3354/ame01156
Behrenfeld MJ, 2003, DEEP-SEA RES PT I, V50, P1537, DOI 10.1016/j.dsr.2003.09.002
BIRD DF, 1984, CAN J FISH AQUAT SCI, V41, P1015, DOI 10.1139/f84-118
Bouvier T, 2003, FEMS MICROBIOL ECOL, V44, P3, DOI 10.1016/S0168-6496(02)00461-0
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buck KR, 1996, AQUAT MICROB ECOL, V10, P283
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Castle D, 2004, LIMNOL OCEANOGR-METH, V2, P303, DOI 10.4319/lom.2004.2.303
CHO BC, 1990, MAR ECOL PROG SER, V63, P253, DOI 10.3354/meps063253
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DELGIORGIO PA, 1995, AM NAT, V146, P135, DOI 10.1086/285790
Díez-Vives C, 2012, MICROB ECOL, V64, P1047, DOI 10.1007/s00248-012-0087-x
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Garcés E, 2007, AQUAT MICROB ECOL, V46, P55, DOI 10.3354/ame046055
Garneau ME, 2006, AQUAT MICROB ECOL, V42, P27, DOI 10.3354/ame042027
Gasol JM, 1997, LIMNOL OCEANOGR, V42, P1353, DOI 10.4319/lo.1997.42.6.1353
Gasol JM, 2000, FEMS MICROBIOL ECOL, V31, P99, DOI 10.1111/j.1574-6941.2000.tb00675.x
Gasol JM, 2009, AQUAT MICROB ECOL, V56, P1, DOI 10.3354/ame01310
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hold GL, 2001, FEMS MICROBIOL ECOL, V37, P161, DOI 10.1111/j.1574-6941.2001.tb00864.x
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
LEGENDRE L., 1983, NUMERICAL ECOLOGY
LI WKW, 1993, DEEP-SEA RES PT II, V40, P307, DOI 10.1016/0967-0645(93)90019-J
Li WKW, 2004, DEEP-SEA RES PT I, V51, P1529, DOI 10.1016/j.dsr.2004.06.012
Lin XJ, 2006, APPL ENVIRON MICROB, V72, P2679, DOI 10.1128/AEM.72.4.2679-2690.2006
Lin XJ, 2008, LIMNOL OCEANOGR, V53, P37, DOI 10.4319/lo.2008.53.1.0037
Lin XJ, 2007, AQUAT MICROB ECOL, V47, P57, DOI 10.3354/ame047057
Llobet-Brossa E, 1998, APPL ENVIRON MICROB, V64, P2691
Longnecker K, 2006, AQUAT MICROB ECOL, V42, P265, DOI 10.3354/ame042265
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Morán XAG, 2002, MICROBIAL ECOL, V44, P217, DOI 10.1007/s00248-002-1026-z
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Nagata T., 2000, MICROBIAL ECOLOGY OC, P121
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Obernosterer I, 2008, BIOGEOSCIENCES, V5, P693, DOI 10.5194/bg-5-693-2008
Oda Y, 2000, FEMS MICROBIOL ECOL, V32, P205, DOI 10.1111/j.1574-6941.2000.tb00713.x
PACE ML, 1994, MICROBIAL ECOL, V28, P181, DOI 10.1007/BF00166807
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P661, DOI 10.1128/AEM.68.2.661-667.2002
Piccini C, 2006, APPL ENVIRON MICROB, V72, P6560, DOI 10.1128/AEM.01089-06
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Sapp M, 2007, FEMS MICROBIOL ECOL, V59, P622, DOI 10.1111/j.1574-6941.2006.00238.x
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schonhuber W, 1997, APPL ENVIRON MICROB, V63, P3268
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
SIMON M, 1992, MAR ECOL PROG SER, V86, P103, DOI 10.3354/meps086103
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Somarakis S, 2006, FISH OCEANOGR, V15, P281, DOI 10.1111/j.1365-2419.2005.00387.x
Stoica E, 2007, AQUAT SCI, V69, P413, DOI 10.1007/s00027-007-0885-2
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Tolker-Nielsen T, 1997, INT J FOOD MICROBIOL, V35, P251, DOI 10.1016/S0168-1605(97)01242-7
Topping JN, 2006, AQUAT MICROB ECOL, V45, P229, DOI 10.3354/ame045229
van Hannen EJ, 1999, APPL ENVIRON MICROB, V65, P795
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Wells LE, 2003, AQUAT MICROB ECOL, V31, P19, DOI 10.3354/ame031019
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Yoder JA, 2010, OCEANOGRAPHY, V23, P104, DOI 10.5670/oceanog.2010.09
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Zhang Y, 2006, AQUAT MICROB ECOL, V43, P233, DOI 10.3354/ame043233
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 100
TC 30
Z9 34
PY 2013
VL 70
IS 2
BP 111
EP 130
DI 10.3354/ame01643
UT WOS:000323492600002
DA 2025-07-30
ER
PT J
AU Philosof, A
Béjà, O
AF Philosof, Alon
Beja, Oded
TI Bacterial, archaeal and viral-like rhodopsins from the Red Sea
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB The Gulf of Aqaba, extending north to the Red Sea, is an oligotrophic basin with typical open ocean gyre characteristics. Here we report on the existence of diverse microbial rhodopsins in the Gulf of Aqaba, based on 454-pyrosequencing-generated metagenome and metatranscriptome data sets, obtained from the microbial fraction smaller than 1.6m. Bacterial SAR11, SAR86 and archaeal proteorhodopsins as well as viral-like rhodopsins were detected on the DNA level. On the RNA level, only SAR11 and SAR86 proteorhodopsin transcripts were detected. Our results add to the growing evidence that microbial rhodopsins are a diverse, abundant and widespread protein family.
C1 [Philosof, Alon; Beja, Oded] Technion Israel Inst Technol, Fac Biol, IL-32000 Haifa, Israel.
RP Béjà, O (corresponding author), Technion Israel Inst Technol, Fac Biol, IL-32000 Haifa, Israel.
EM beja@tx.technion.ac.il
CR Atamna-Ismaeel N, 2010, ISME J, V4, P462, DOI 10.1038/ismej.2009.130
Balashov SP, 2005, SCIENCE, V309, P2061, DOI 10.1126/science.1118046
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Beszteri B, 2010, ISME J, V4, P1075, DOI 10.1038/ismej.2010.29
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Chang JM, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-S4-S1
Danhorn T, 2012, ISME J, V6, P2056, DOI 10.1038/ismej.2012.35
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DELONG EF, 1994, NATURE, V371, P695, DOI 10.1038/371695a0
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Feingersch R, 2009, ISME J, V3, P1117, DOI 10.1038/ismej.2009.80
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
LINDELL D, 1995, LIMNOL OCEANOGR, V40, P1130, DOI 10.4319/lo.1995.40.6.1130
Long JD, 2007, P NATL ACAD SCI USA, V104, P10512, DOI 10.1073/pnas.0611600104
Mackey KRM, 2007, LIMNOL OCEANOGR, V52, P873, DOI 10.4319/lo.2007.52.2.0873
MacLean D, 2009, NAT REV MICROBIOL, V7, P287, DOI [10.1038/nrmicro2088, 10.1038/nrmicro2122]
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Marchetti A, 2012, P NATL ACAD SCI USA, V109, pE317, DOI 10.1073/pnas.1118408109
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Miyake S., 2011, ENCY LIFE SCI ELS, DOI [10. 1002/9780470015902. 9780410022837, DOI 10.1002/9780470015902.9780410022837]
Mongodin EF, 2005, P NATL ACAD SCI USA, V102, P18147, DOI 10.1073/pnas.0509073102
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Sharma AK, 2009, ISME J, V3, P726, DOI 10.1038/ismej.2009.13
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Slamovits CH, 2011, NAT COMMUN, V2, DOI 10.1038/ncomms1188
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Spudich JL, 2005, HANDBOOK OF PHOTOSENSORY RECEPTORS, P1, DOI 10.1002/352760510X.ch1
Temperton B, 2009, ISME J, V3, P792, DOI 10.1038/ismej.2009.32
Thurber RV, 2009, NAT PROTOC, V4, P470, DOI 10.1038/nprot.2009.10
Ugalde JA, 2011, BIOL DIRECT, V6, DOI 10.1186/1745-6150-6-52
Varaljay VA, 2012, APPL ENVIRON MICROB, V78, P2775, DOI 10.1128/AEM.07559-11
Wurzbacher C, 2012, ENV MICROBIOL REP, V4, P491, DOI 10.1111/j.1758-2229.2012.00350.x
Yau S, 2011, P NATL ACAD SCI USA, V108, P6163, DOI 10.1073/pnas.1018221108
Yutin N, 2012, BIOL DIRECT, V7, DOI 10.1186/1745-6150-7-34
NR 57
TC 51
Z9 55
PD JUN
PY 2013
VL 5
IS 3
SI SI
BP 475
EP 482
DI 10.1111/1758-2229.12037
UT WOS:000318111500016
DA 2025-07-30
ER
PT J
AU Harbeitner, RC
Wittmers, F
Yung, CCM
Eckmann, CA
Hehenberger, E
Blum, M
Needham, DM
Worden, AZ
AF Harbeitner, Rachel C.
Wittmers, Fabian
Yung, Charmaine C. M.
Eckmann, Charlotte A.
Hehenberger, Elisabeth
Blum, Marguerite
Needham, David M.
Worden, Alexandra Z.
TI Gradients of bacteria in the oceanic water column reveal finely-resolved
vertical distributions
SO PLOS ONE
DT Article
AB Bacterial communities directly influence ecological processes in the ocean, and depth has a major influence due to the changeover in primary energy sources between the sunlit photic zone and dark ocean. Here, we examine the abundance and diversity of bacteria in Monterey Bay depth profiles collected from the surface to just above the sediments (e.g., 2000 m). Bacterial abundance in these Pacific Ocean samples decreased by >1 order of magnitude, from 1.22 +/- 0.69 x10(6) cells ml(-1) in the variable photic zone to 1.44 +/- 0.25 x10(5) and 6.71 +/- 1.23 x10(4) cells ml(-1) in the mesopelagic and bathypelagic, respectively. V1-V2 16S rRNA gene profiling showed diversity increased sharply between the photic and mesopelagic zones. Weighted Gene Correlation Network Analysis clustered co-occurring bacterial amplicon sequence variants (ASVs) into seven subnetwork modules, of which five strongly correlated with depth-related factors. Within surface-associated modules there was a clear distinction between a 'copiotrophic' module, correlating with chlorophyll and dominated by e.g., Flavobacteriales and Rhodobacteraceae, and an 'oligotrophic' module dominated by diverse Oceanospirillales (such as uncultured JL-ETNP-Y6, SAR86) and Pelagibacterales. Phylogenetic reconstructions of Pelagibacterales and SAR324 using full-length 16S rRNA gene data revealed several additional subclades, expanding known microdiversity within these abundant lineages, including new Pelagibacterales subclades Ia.B, Id, and IIc, which comprised 4-10% of amplicons depending on the subclade and depth zone. SAR324 and Oceanospirillales dominated in the mesopelagic, with SAR324 clade II exhibiting its highest relative abundances (17 +/- 4%) in the lower mesopelagic (300-750 m). The two newly-identified SAR324 clades showed highest relative abundances in the photic zone (clade III), while clade IV was extremely low in relative abundance, but present across dark ocean depths. Hierarchical clustering placed microbial communities from 900 m samples with those from the bathypelagic, where Marinimicrobia was distinctively relatively abundant. The patterns resolved herein, through high resolution and statistical replication, establish baselines for marine bacterial abundance and taxonomic distributions across the Monterey Bay water column, against which future change can be assessed.
C1 [Harbeitner, Rachel C.; Eckmann, Charlotte A.; Worden, Alexandra Z.] Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA.
[Harbeitner, Rachel C.; Wittmers, Fabian; Yung, Charmaine C. M.; Hehenberger, Elisabeth; Needham, David M.; Worden, Alexandra Z.] GEOMAR Helmholtz Ctr Ocean Res Kiel, Ocean EcoSyst Biol Unit, RD3, Kiel, DE, Germany.
[Wittmers, Fabian; Eckmann, Charlotte A.; Worden, Alexandra Z.] Marine Biol Lab, Woods Hole, MA 02543 USA.
[Blum, Marguerite] Monterey Bay Aquarium Res Inst, Moss Landing, CA USA.
RP Worden, AZ (corresponding author), Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA.; Worden, AZ (corresponding author), GEOMAR Helmholtz Ctr Ocean Res Kiel, Ocean EcoSyst Biol Unit, RD3, Kiel, DE, Germany.; Worden, AZ (corresponding author), Marine Biol Lab, Woods Hole, MA 02543 USA.
EM azworden@mbl.edu
CR Altai Z, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0245121
Antonelli M, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30695-9
Barber D. C., 2005, Journal of Medical Engineering & Technology, V29, P53, DOI 10.1080/03091900412331289889
Bhandari A, 2020, INSIGHTS IMAGING, V11, DOI 10.1186/s13244-020-00869-4
Bhattacharya P, 2019, BIOMECH MODEL MECHAN, V18, P301, DOI 10.1007/s10237-018-1081-0
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Casas-Herrero A, 2013, REJUV RES, V16, P396, DOI 10.1089/rej.2013.1438
Chen Y, 2023, COMPUT BIOL MED, V160, DOI 10.1016/j.compbiomed.2023.106953
Chung H., 2009, P VOLUME 7261 MEDICA
Cicek Ozgun, 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016. 19th International Conference. Proceedings: LNCS 9901, P424, DOI 10.1007/978-3-319-46723-8_49
Cruz-Jentoft AJ, 2023, EUR GERIATR MED, V14, P225, DOI 10.1007/s41999-023-00760-7
DICE LR, 1945, ECOLOGY, V26, P297, DOI 10.2307/1932409
Ding J, 2020, INSIGHTS IMAGING, V11, DOI 10.1186/s13244-020-00946-8
Gadermayr M, 2018, MAGN RESON IMAGING, V48, P20, DOI 10.1016/j.mri.2017.12.014
Graffy PM, 2019, BRIT J RADIOL, V92, DOI 10.1259/bjr.20190327
Hayford CF, 2020, COMPUT METHOD BIOMEC, V23, P1014, DOI 10.1080/10255842.2020.1783659
Henson WH, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0273446
Hesamian MH, 2019, J DIGIT IMAGING, V32, P582, DOI 10.1007/s10278-019-00227-x
Isensee F, 2021, NAT METHODS, V18, P203, DOI 10.1038/s41592-020-01008-z
Karlsson A, 2015, J MAGN RESON IMAGING, V41, P1558, DOI 10.1002/jmri.24726
Kingma Diederik P., 2017, arXiv
AnbuDevi MKA, 2022, DIAGNOSTICS, V12, DOI 10.3390/diagnostics12123064
Krizhevsky A, 2017, COMMUN ACM, V60, P84, DOI 10.1145/3065386
LARSSON L, 1979, J APPL PHYSIOL, V46, P451, DOI 10.1152/jappl.1979.46.3.451
Lei T., 2021, IEEE Trans. Radiat. Plasma Med. Sci
Lopez MM, 2018, LECT NOTES COMPUT SC, V10670, P253, DOI 10.1007/978-3-319-75238-9_22
materialise, Materialise Mimics
Modenese L, 2018, J BIOMECH, V73, P108, DOI 10.1016/j.jbiomech.2018.03.039
Montefiori E, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0242973
Montefiori E, 2019, J BIOMECH, V85, P27, DOI 10.1016/j.jbiomech.2018.12.041
Ni RK, 2019, J MED IMAGING, V6, DOI 10.1117/1.JMI.6.4.044009
Oktay J., 2018, ARXIV
Pons C, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0207847
PyTorch, CrossEntropyLoss
Rockafellar R.Tyrrell., 2005, Variational Analysis, P117, DOI 10.1007/978-3-642-02431-3
Ronneberger O, 2015, LECT NOTES COMPUT SC, V9351, P234, DOI 10.1007/978-3-319-24574-4_28
Shaw NP, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0238454
Siddique N., 2020, IEEE access, V9
Tustison NJ, 2019, ACAD RADIOL, V26, P412, DOI 10.1016/j.acra.2018.08.003
Weber KA II, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-95972-x
Wokke BH, 2013, J MAGN RESON IMAGING, V38, P619, DOI 10.1002/jmri.23998
Zhao P, 2020, FRONT BIOENG BIOTECH, V8, DOI 10.3389/fbioe.2020.00670
Zheng Q, 2018, IEEE T MED IMAGING, V37, P2137, DOI 10.1109/TMI.2018.2820742
Zhu JY, 2022, I S BIOMED IMAGING, DOI 10.1109/ISBI52829.2022.9761501
Zhu JY, 2021, NMR BIOMED, V34, DOI 10.1002/nbm.4609
NR 45
TC 3
Z9 3
PD APR 2
PY 2024
VL 19
IS 4
AR e0298139
DI 10.1371/journal.pone.0298139
UT WOS:001196120400041
DA 2025-07-30
ER
PT J
AU Shi, YM
Tyson, GW
DeLong, EF
AF Shi, Yanmei
Tyson, Gene W.
DeLong, Edward F.
TI Metatranscriptomics reveals unique microbial small RNAs in the ocean's
water column
SO NATURE
DT Article
AB Microbial gene expression in the environment has recently been assessed via pyrosequencing of total RNA extracted directly from natural microbial assemblages. Several such 'metatranscriptomic' studies(1,2) have reported that many complementary DNA sequences shared no significant homology with known peptide sequences, and so might represent transcripts from uncharacterized proteins. Here we report that a large fraction of cDNA sequences detected in microbial metatranscriptomic data sets are comprised of well-known small RNAs ( sRNAs) 3, as well as new groups of previously unrecognized putative sRNAs ( psRNAs). These psRNAs mapped specifically to intergenic regions of microbial genomes recovered from similar habitats, displayed characteristic conserved secondary structures and were frequently flanked by genes that indicated potential regulatory functions. Depth-dependent variation of psRNAs generally reflected known depth distributions of broad taxonomic groups(4), but fine-scale differences in the psRNAs within closely related populations indicated potential roles in niche adaptation. Genome-specific mapping of a subset of psRNAs derived from predominant planktonic species such as Pelagibacter revealed recently discovered as well as potentially new regulatory elements. Our analyses show that metatranscriptomic data sets can reveal new information about the diversity, taxonomic distribution and abundance of sRNAs in naturally occurring microbial communities, and indicate their involvement in environmentally relevant processes including carbon metabolism and nutrient acquisition.
C1 [Shi, Yanmei; Tyson, Gene W.; DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[DeLong, Edward F.] MIT, Dept Biol Engn, Cambridge, MA 02139 USA.
RP DeLong, EF (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM delong@mit.edu
CR Abreu-Goodger C, 2005, NUCLEIC ACIDS RES, V33, pW690, DOI 10.1093/nar/gki445
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Axmann IM, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-9-r73
Brantl S, 2004, TRENDS MICROBIOL, V12, P473, DOI 10.1016/j.tim.2004.09.008
Bruttin A, 1996, VIROLOGY, V219, P96, DOI 10.1006/viro.1996.0226
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dühring U, 2006, P NATL ACAD SCI USA, V103, P7054, DOI 10.1073/pnas.0600927103
EDDY S, 2007, INFERNAL USERS GUIDE
EDDY SR, 1994, NUCLEIC ACIDS RES, V22, P2079, DOI 10.1093/nar/22.11.2079
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Gilbert JA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003042
Gottesman S, 2002, GENE DEV, V16, P2829, DOI 10.1101/gad.1030302
Griffiths-Jones S, 2005, NUCLEIC ACIDS RES, V33, pD121, DOI 10.1093/nar/gki081
Hershberg R, 2003, NUCLEIC ACIDS RES, V31, P1813, DOI 10.1093/nar/gkg297
Hofacker IL, 2003, NUCLEIC ACIDS RES, V31, P3429, DOI 10.1093/nar/gkg599
Hofacker IL, 2002, J MOL BIOL, V319, P1059, DOI 10.1016/S0022-2836(02)00308-X
Holste D, 2000, J MOL EVOL, V51, P353, DOI 10.1007/s002390010097
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
JASON S, 2000, SIGBIO NEWSL, V20, P13
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Kawano M, 2005, NUCLEIC ACIDS RES, V33, P1040, DOI 10.1093/nar/gki256
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Lenz DH, 2004, CELL, V118, P69, DOI 10.1016/j.cell.2004.06.009
Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Noguchi H, 2006, NUCLEIC ACIDS RES, V34, P5623, DOI 10.1093/nar/gkl723
Ré M, 2007, LECT NOTES ARTIF INT, V4578, P544
Rudd KE, 2000, NUCLEIC ACIDS RES, V28, P60, DOI 10.1093/nar/28.1.60
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schattner P, 2002, NUCLEIC ACIDS RES, V30, P2076, DOI 10.1093/nar/30.9.2076
Silvaggi JM, 2006, J BACTERIOL, V188, P532, DOI 10.1128/JB.188.2.532-541.2006
Steglich C, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000173
Storz G, 2007, CURR OPIN MICROBIOL, V10, P93, DOI 10.1016/j.mib.2007.03.017
Tatusov RL, 2000, NUCLEIC ACIDS RES, V28, P33, DOI 10.1093/nar/28.1.33
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Trotochaud AE, 2005, NAT STRUCT MOL BIOL, V12, P313, DOI 10.1038/nsmb917
VANGELDER RN, 1990, P NATL ACAD SCI USA, V87, P1663, DOI 10.1073/pnas.87.5.1663
Vogel J, 2003, NUCLEIC ACIDS RES, V31, P6435, DOI 10.1093/nar/gkg867
Vogel J, 2007, CURR OPIN MICROBIOL, V10, P262, DOI 10.1016/j.mib.2007.06.001
Washietl S, 2005, P NATL ACAD SCI USA, V102, P2454, DOI 10.1073/pnas.0409169102
Wendisch VF, 2001, ANAL BIOCHEM, V290, P205, DOI 10.1006/abio.2000.4982
Yao Z, 2007, PLOS COMPUT BIOL, V3, P1212, DOI 10.1371/journal.pcbi.0030126
NR 46
TC 201
Z9 230
PD MAY 14
PY 2009
VL 459
IS 7244
BP 266
EP U154
DI 10.1038/nature08055
UT WOS:000266036100044
DA 2025-07-30
ER
PT J
AU Bruwer, JD
Orellana, LH
Sidhu, C
Klip, HCL
Meunier, CL
Boersma, M
Wiltshire, KH
Amann, R
Fuchs, BM
AF Bru''wer, Jan D.
Orellana, Luis H.
Sidhu, Chandni
Klip, Helena C. L.
Meunier, Cedric L.
Boersma, Maarten
Wiltshire, Karen H.
Amann, Rudolf
Fuchs, Bernhard M.
TI E "In situ cell division and mortality rates of SAR11, SAR86,
Bacteroidetes, and Aurantivirga during phytoplankton
blooms reveal differences in population controls" (vol 8, e01287-22,
2023)
SO MSYSTEMS
DT Correction
EM bfuchs@mpi-bremen.de
CR Bruewer JD, 2023, MSYSTEMS, V8, DOI 10.1128/msystems.01287-22
NR 1
TC 0
Z9 0
PD JAN 23
PY 2024
VL 9
IS 1
DI 10.1128/msystems.01196-23
EA DEC 2023
UT WOS:001128115300001
DA 2025-07-30
ER
PT J
AU Han, D
Kang, HY
Kang, CK
Unno, T
Hur, HG
AF Han, Dukki
Kang, Hee Yoon
Kang, Chang-Keun
Unno, Tatsuya
Hur, Hor-Gil
TI Seasonal Mixing-Driven System in Estuarine-Coastal Zone Triggers an
Ecological Shift in Bacterial Assemblages Involved in
Phytoplankton-Derived DMSP Degradation
SO MICROBIAL ECOLOGY
DT Article
AB The coastal zone has distinguishable but tightly connected ecosystems from rivers to the ocean and globally contributes to nutrient cycling including phytoplankton-derived organic matter. Particularly, bacterial contributions to phytoplankton-derived dimethylsulfoniopropionate (DMSP) degradation have been recently evaluated by using advanced sequencing technologies to understand their role in the marine microbial food web. Here, we surveyed the bacterial diversity and community composition under seasonal water mixing in the bay of Gwangyang (GW), a semi-enclosed estuary at the southern tip of the Korea Peninsula. We detected phylogenetic dissimilarities among season-specific habitats in GW and their specific bacterial taxa. Additionally, bacterial contribution to degradation of phytoplankton-derived DMSP from estuarine to coastal waters at euphotic depths in GW was investigated as the presence or absence of DMSP demethylation gene, encoded by dmdA. Among the operational taxonomic units (OTUs) in GW bacterial communities, the most dominant and ubiquitous OTU1 was affiliated with the SAR11 clade (SAR11-OTU). The population dynamics of SAR11-OTU in dmdA-detected GW waters suggest that water mass mixing plays a major role in shaping bacterial communities involved in phytoplankton-derived DMSP demethylation.
C1 [Han, Dukki; Unno, Tatsuya] Jeju Natl Univ, Jeju Special Self Governing Prov, Jeju 63243, South Korea.
[Kang, Hee Yoon; Kang, Chang-Keun; Hur, Hor-Gil] Gwangju Inst Sci & Technol, Sch Earth Sci & Environm Engn, Gwangju 61005, South Korea.
RP Hur, HG (corresponding author), Gwangju Inst Sci & Technol, Sch Earth Sci & Environm Engn, Gwangju 61005, South Korea.
EM hghur@gist.ac.kr
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Amaral-Zettler LA, 2011, ISME J, V5, P42, DOI 10.1038/ismej.2010.101
Andreae MO, 1997, SCIENCE, V276, P1052, DOI 10.1126/science.276.5315.1052
[Anonymous], R PACKAGE HH VERSION
[Anonymous], 2016, PACKAGE LABDSV
[Anonymous], BLANCHET FG PACKAGE
Chen MR, 2018, BIOGEOSCIENCES, V15, P2055, DOI 10.5194/bg-15-2055-2018
Chesson P, 2000, ANNU REV ECOL SYST, V31, P343, DOI 10.1146/annurev.ecolsys.31.1.343
Devictor V, 2008, OIKOS, V117, P507, DOI 10.1111/j.2008.0030-1299.16215.x
Dini-Andreote F, 2015, P NATL ACAD SCI USA, V112, pE1326, DOI 10.1073/pnas.1414261112
Fargione J, 2003, P NATL ACAD SCI USA, V100, P8916, DOI 10.1073/pnas.1033107100
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giebel HA, 2013, INT J SYST EVOL MICR, V63, P4207, DOI 10.1099/ijs.0.053249-0
Han D, 2015, DEEP-SEA RES PT II, V120, P52, DOI 10.1016/j.dsr2.2015.01.018
Han D, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0086887
Hernando-Morales V, 2017, ENVIRON MICROBIOL, V19, P1017, DOI 10.1111/1462-2920.13538
Hothorn T., 2015, Package "party ."
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Howard EC, 2011, APPL ENVIRON MICROB, V77, P524, DOI 10.1128/AEM.01457-10
Johnston AWB, 2015, SCIENCE, V348, P1430, DOI 10.1126/science.aac5661
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kim D, 2014, OCEAN SCI J, V49, P251, DOI 10.1007/s12601-014-0026-5
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Kwak JH, 2014, J GEOPHYS RES-OCEANS, V119, P4505, DOI 10.1002/2014JC009874
Ledyard KM, 1996, LIMNOL OCEANOGR, V41, P33, DOI 10.4319/lo.1996.41.1.0033
Lee JH, 2017, BIOGEOSCIENCES, V14, P1903, DOI 10.5194/bg-14-1903-2017
Levine NM, 2012, ENVIRON MICROBIOL, V14, P1210, DOI 10.1111/j.1462-2920.2012.02700.x
Lindemann SR, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00323
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Stegen JC, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11237
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
Sul WJ, 2013, P NATL ACAD SCI USA, V110, P2342, DOI 10.1073/pnas.1212424110
Techtmann SM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0120605
Tripathi BM, 2018, ISME J, V12, P1072, DOI 10.1038/s41396-018-0082-4
van Duyl FC, 1998, J SEA RES, V40, P221, DOI 10.1016/S1385-1101(98)00024-0
Varaljay VA, 2015, ISME J, V9, P1677, DOI 10.1038/ismej.2015.23
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Wang JJ, 2013, ISME J, V7, P1310, DOI 10.1038/ismej.2013.30
Webb CO, 2008, BIOINFORMATICS, V24, P2098, DOI 10.1093/bioinformatics/btn358
Webb CO, 2002, ANNU REV ECOL SYST, V33, P475, DOI 10.1146/annurev.ecolsys.33.010802.150448
NR 49
TC 5
Z9 5
PD JAN
PY 2020
VL 79
IS 1
BP 12
EP 20
DI 10.1007/s00248-019-01392-w
UT WOS:000513239900002
DA 2025-07-30
ER
PT J
AU Piwosz, K
Salcher, MM
Zeder, M
Ameryk, A
Pernthaler, J
AF Piwosz, Kasia
Salcher, Michaela M.
Zeder, Michael
Ameryk, Anetta
Pernthaler, Jakob
TI Seasonal dynamics and activity of typical freshwater bacteria in
brackish waters of the Gulf of Gdansk
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB While typical freshwater and marine bacteria have been found to co-occur in brackish habitats, it is unknown if they are active members of the local bacterial assemblages or if their presence is the result of passive transport only. We followed the seasonal dynamics of typical freshwater bacteria (R-BT lineage of Betaproteobacteria; Ac1 Actinobacteria; LD12 Alphaproteobacteria) and of marine SAR11 Alphaproteobacteria in the brackish water of the Gulf of Gdansk (southern Baltic Sea), and we assessed their incorporation of thymidine and leucine at three distinct environmental conditions. The temporal development of bacteria was driven not only by local conditions but also by phenomena resulting from the dynamic hydrology of the site. Both temperature and salinity were important factors influencing bacterial community composition, as reflected by the clear distinction of three assemblages in spring and summer and during a period of enhanced freshwater influx. During spring, high proportions of R-BT Betaproteobacteria and Ac1 Actinobacteria incorporated the radiolabeled tracers, and all three freshwater lineages were most active during the subsequent phase of low salinity. The summer period was characterized by highest abundances of Ac1 Actinobacteria and of both alphaproteobacterial lineages. All studied freshwater lineages were active members of the brackish water communities at specific environmental conditions, including LD12 Alphaproteobacteria, which have so far been considered to thrive exclusively in freshwater habitats. By contrast, the presence of the typical marine SAR11 bacteria seemed to result from passive inflow with more saline waters from the Baltic proper.
C1 [Piwosz, Kasia; Ameryk, Anetta] Natl Marine Fisheries Res Inst, Gdynia, Poland.
[Salcher, Michaela M.; Zeder, Michael; Pernthaler, Jakob] Univ Zurich, Inst Plant Biol, Limnol Stn, Kilchberg, Switzerland.
RP Pernthaler, J (corresponding author), Univ Zurich, Inst Plant Biol, Limnol Stn, Kilchberg, Switzerland.
EM pernthaler@limnol.uzh.ch
CR Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
Alonso C, 2009, ENVIRON MICROBIOL, V11, P867, DOI 10.1111/j.1462-2920.2008.01807.x
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Ameryk A, 2005, OCEANOLOGIA, V47, P27
[Anonymous], BALT SEA ENV P B
BELL RT, 1990, LIMNOL OCEANOGR, V35, P910, DOI 10.4319/lo.1990.35.4.0910
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Holmfeldt K, 2009, ENVIRON MICROBIOL, V11, P2042, DOI 10.1111/j.1462-2920.2009.01925.x
Hoppe HG, 1998, AQUAT MICROB ECOL, V15, P1, DOI 10.3354/ame015001
Jezbera J, 2005, FEMS MICROBIOL ECOL, V52, P351, DOI 10.1016/j.femsec.2004.12.001
Kasalicky V, 2010, INT J SYST EVOL MICR, V60, P2710, DOI 10.1099/ijs.0.018952-0
KUOSA H, 1989, MAR ECOL PROG SER, V53, P93, DOI 10.3354/meps053093
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Majewski W., 2011, Geophysica, V47, P57
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Newton RJ, 2007, APPL ENVIRON MICROB, V73, P7169, DOI 10.1128/AEM.00794-07
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Piwosz K, 2010, ENVIRON MICROBIOL, V12, P364, DOI 10.1111/j.1462-2920.2009.02074.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Reissmann JH, 2009, PROG OCEANOGR, V82, P47, DOI 10.1016/j.pocean.2007.10.004
RIEMANN B, 1987, LIMNOL OCEANOGR, V32, P471, DOI 10.4319/lo.1987.32.2.0471
Riemann L, 2008, APPL ENVIRON MICROB, V74, P503, DOI 10.1128/AEM.01983-07
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2008, ENVIRON MICROBIOL, V10, P2074, DOI 10.1111/j.1462-2920.2008.01628.x
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Simek K, 2001, APPL ENVIRON MICROB, V67, P2723, DOI 10.1128/AEM.67.6.2723-2733.2001
Simek K, 2008, AQUAT MICROB ECOL, V51, P249, DOI 10.3354/ame01193
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Witek Z, 2003, ESTUAR COAST SHELF S, V57, P239, DOI 10.1016/S0272-7714(02)00348-7
Witek Z, 1997, MAR ECOL PROG SER, V148, P169, DOI 10.3354/meps148169
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
NR 40
TC 27
Z9 29
PD MAY
PY 2013
VL 58
IS 3
BP 817
EP 826
DI 10.4319/lo.2013.58.3.0817
UT WOS:000322491100005
DA 2025-07-30
ER
PT J
AU Chronopoulou, PM
Sanni, GO
Silas-Olu, DI
van der Meer, JR
Timmis, KN
Brussaard, CPD
McGenity, TJ
AF Chronopoulou, Panagiota-Myrsini
Sanni, Gbemisola O.
Silas-Olu, Daniel I.
van der Meer, Jan Roelof
Timmis, Kenneth N.
Brussaard, Corina P. D.
McGenity, Terry J.
TI Generalist hydrocarbon-degrading bacterial communities in the
oil-polluted water column of the North Sea
SO MICROBIAL BIOTECHNOLOGY
DT Article
AB The aim of this work was to determine the effect of light crude oil on bacterial communities during an experimental oil spill in the North Sea and in mesocosms (simulating a heavy, enclosed oil spill), and to isolate and characterize hydrocarbon-degrading bacteria from the water column. No oil-induced changes in bacterial community (3m below the sea surface) were observed 32h after the experimental spill at sea. In contrast, there was a decrease in the dominant SAR11 phylotype and an increase in Pseudoalteromonas spp. in the oiled mesocosms (investigated by 16S rRNA gene analysis using denaturing gradient gel electrophoresis), as a consequence of the longer incubation, closer proximity of the samples to oil, and the lack of replenishment with seawater. A total of 216 strains were isolated from hydrocarbon enrichment cultures, predominantly belonging to the genus Pseudoaltero monas; most strains grew on PAHs, branched and straight-chain alkanes, as well as many other carbon sources. No obligate hydrocarbonoclastic bacteria were isolated or detected, highlighting the potential importance of cosmopolitan marine generalists like Pseudoalteromonas spp. in degrading hydrocarbons in the water column beneath an oil slick, and revealing the susceptibility to oil pollution of SAR11, the most abundant bacterial clade in the surface ocean.
C1 [Chronopoulou, Panagiota-Myrsini; Sanni, Gbemisola O.; Silas-Olu, Daniel I.; McGenity, Terry J.] Univ Essex, Sch Biol Sci, Colchester CO4 3SQ, Essex, England.
[van der Meer, Jan Roelof] Univ Lausanne, Dept Fundamental Microbiol, Lausanne, Switzerland.
[Timmis, Kenneth N.] Tech Univ Carolo Wilhelmina Braunschweig, Inst Microbiol, D-38106 Braunschweig, Germany.
[Brussaard, Corina P. D.] Royal Netherlands Inst Sea Res NIOZ, Dept Biol Oceanog, Den Burg, Netherlands.
RP McGenity, TJ (corresponding author), Univ Essex, Sch Biol Sci, Wivenhoe Pk, Colchester CO4 3SQ, Essex, England.
EM tjmcgen@essex.ac.uk
CR Agogué H, 2005, APPL ENVIRON MICROB, V71, P5282, DOI 10.1128/AEM.71.9.5282-5289.2005
Alonso-Gutiérrez J, 2009, APPL ENVIRON MICROB, V75, P3407, DOI 10.1128/AEM.01776-08
[Anonymous], HDB HYDROCARBON LIPI
Atlas R, 2009, MICROB BIOTECHNOL, V2, P213, DOI 10.1111/j.1751-7915.2008.00079.x
Brakstad OG, 2008, MICROB ECOL, V55, P540, DOI 10.1007/s00248-007-9299-x
Brakstad OG, 2005, MICROB ECOL, V49, P94, DOI 10.1007/s00248-003-0225-6
Brussaard C. P. D., 2010, HDB HYDROCARBON LIPI, P3491
Cappello S, 2007, J APPL MICROBIOL, V102, P184, DOI 10.1111/j.1365-2672.2006.03071.x
Cappello S, 2010, HDB HYDROCARBON LIPI, P1738
Cho SH, 2012, B ENVIRON CONTAM TOX, V89, P680, DOI 10.1007/s00128-012-0723-7
Coulon F, 2007, ENVIRON MICROBIOL, V9, P177, DOI 10.1111/j.1462-2920.2006.01126.x
Coulon F, 2012, APPL ENVIRON MICROB, V78, P3638, DOI 10.1128/AEM.00072-12
Crone TJ, 2010, SCIENCE, V330, P634, DOI 10.1126/science.1195840
Cui ZS, 2008, ENVIRON MICROBIOL, V10, P2138, DOI 10.1111/j.1462-2920.2008.01637.x
Deppe U, 2005, EXTREMOPHILES, V9, P461, DOI 10.1007/s00792-005-0463-2
Dheilly A, 2010, APPL ENVIRON MICROB, V76, P3452, DOI 10.1128/AEM.02632-09
Dubinsky EA, 2013, ENVIRON SCI TECHNOL, V47, P10860, DOI 10.1021/es401676y
DYKSTERHOUSE SE, 1995, INT J SYST BACTERIOL, V45, P116, DOI 10.1099/00207713-45-1-116
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Franklin MP, 2005, ENVIRON MICROBIOL, V7, P723, DOI 10.1111/j.1462-2920.2004.00736.x
García MT, 2004, INT J SYST EVOL MICR, V54, P1723, DOI 10.1099/ijs.0.63114-0
Gertler C, 2009, FEMS MICROBIOL ECOL, V69, P288, DOI 10.1111/j.1574-6941.2009.00693.x
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Green DH, 2004, FEMS MICROBIOL ECOL, V47, P345, DOI 10.1016/S0168-6496(03)00298-8
Gros J, 2014, ENVIRON SCI TECHNOL, V48, P9400, DOI 10.1021/es502437e
Gutierrez T, 2013, ISME J, V7, P2091, DOI 10.1038/ismej.2013.98
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Harwati TU, 2007, MICROBES ENVIRON, V22, P412, DOI 10.1264/jsme2.22.412
Hedlund BP, 2006, ENVIRON MICROBIOL, V8, P178, DOI 10.1111/j.1462-2920.2005.00871.x
ITOPF, 2002, INT TANKER OWNERS PO, V2, P1
Kasai Y, 2002, APPL ENVIRON MICROB, V68, P5625, DOI 10.1128/AEM.68.11.5625-5633.2002
Klein GL, 2011, BIOFOULING, V27, P931, DOI 10.1080/08927014.2011.611878
Kryachko Y, 2012, ANTON LEEUW INT J G, V101, P493, DOI 10.1007/s10482-011-9658-y
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Lanfranconi MP, 2010, MICROB BIOTECHNOL, V3, P607, DOI 10.1111/j.1751-7915.2010.00192.x
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Lin XZ, 2009, CURR MICROBIOL, V59, P341, DOI 10.1007/s00284-009-9440-9
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
McGenity TJ, 2014, CURR OPIN BIOTECH, V27, P46, DOI 10.1016/j.copbio.2013.10.010
McGenity Terry J, 2012, Aquat Biosyst, V8, P10, DOI 10.1186/2046-9063-8-10
McKew BA, 2007, ENVIRON MICROBIOL, V9, P1562, DOI 10.1111/j.1462-2920.2007.01277.x
McKew BA, 2007, ENVIRON MICROBIOL, V9, P165, DOI 10.1111/j.1462-2920.2006.01125.x
Melcher RJ, 2002, APPL ENVIRON MICROB, V68, P2858, DOI 10.1128/AEM.68.6.2858-2868.2002
Mnif S, 2009, J APPL MICROBIOL, V107, P785, DOI 10.1111/j.1365-2672.2009.04251.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Nichols CM, 2005, MICROB ECOL, V49, P578, DOI 10.1007/s00248-004-0093-8
Nogales B, 2007, ENVIRON MICROBIOL, V9, P1913, DOI 10.1111/j.1462-2920.2007.01308.x
Pepi M, 2005, FEMS MICROBIOL ECOL, V53, P157, DOI 10.1016/j.femsec.2004.09.013
Prabagaran SR, 2007, FEMS MICROBIOL ECOL, V59, P342, DOI 10.1111/j.1574-6941.2006.00213.x
Redmond MC, 2012, P NATL ACAD SCI USA, V109, P20292, DOI 10.1073/pnas.1108756108
Rivers AR, 2013, ISME J, V7, P2315, DOI 10.1038/ismej.2013.129
Roberg S, 2011, POLAR BIOL, V34, P1455, DOI 10.1007/s00300-011-1003-4
Romanenko LA, 2003, INT J SYST EVOL MICR, V53, P647, DOI 10.1099/ijs.0.02469-0
Sabirova JS, 2008, FEMS MICROBIOL LETT, V285, P89, DOI 10.1111/j.1574-6968.2008.01222.x
Saravanan P, 2008, LETT APPL MICROBIOL, V46, P1, DOI 10.1111/j.1472-765X.2007.02215.x
Schneiker S, 2006, NAT BIOTECHNOL, V24, P997, DOI 10.1038/nbt1232
SIKKEMA J, 1995, MICROBIOL REV, V59, P201, DOI 10.1128/MMBR.59.2.201-222.1995
Sperling M, 2012, AQUAT MICROB ECOL, V67, P25, DOI 10.3354/ame01580
Staley J.T., 2010, Handbook of Hydrocarbon and Lipid Microbiology, P1782
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Tada Y, 2012, J OCEANOGR, V68, P509, DOI 10.1007/s10872-012-0114-z
Teralmoto M, 2009, MICROBIOL-SGM, V155, P3362, DOI 10.1099/mic.0.030411-0
Teramoto M, 2011, INT J SYST EVOL MICR, V61, P375, DOI 10.1099/ijs.0.018671-0
Vila J, 2010, FEMS MICROBIOL ECOL, V73, P349, DOI 10.1111/j.1574-6941.2010.00902.x
Wang BJ, 2008, ENVIRON MICROBIOL, V10, P1948, DOI 10.1111/j.1462-2920.2008.01611.x
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Wurl O, 2004, MAR POLLUT BULL, V48, P1016, DOI 10.1016/j.marpolbul.2004.03.016
Yakimov MM, 1998, INT J SYST BACTERIOL, V48, P339, DOI 10.1099/00207713-48-2-339
Yakimov MM, 2004, FEMS MICROBIOL ECOL, V49, P419, DOI 10.1016/j.femsec.2004.04.018
Yakimov MM, 2004, INT J SYST EVOL MICR, V54, P141, DOI 10.1099/ijs.0.02424-0
Yong JJ, 2007, INT J SYST EVOL MICR, V57, P951, DOI 10.1099/ijs.0.64723-0
NR 75
TC 67
Z9 78
PD MAY
PY 2015
VL 8
IS 3
BP 434
EP 447
DI 10.1111/1751-7915.12176
UT WOS:000353236500007
DA 2025-07-30
ER
PT J
AU Huanca-Valenzuela, P
Cram, JA
Fuchsman, CA
AF Huanca-Valenzuela, Paulina
Cram, Jacob A.
Fuchsman, Clara A.
TI Niche differentiation in microorganisms capable of using alternative
reduced nitrogen sources studied across depth and between oxic and
anoxic ocean regions
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Introduction: Assimilation of reduced nitrogen is less energetically costly than assimilation of oxidized forms. In the open ocean, ammonium is generally absent from the water column, including in oxygen-deficient zones (ODZs). Some microorganisms can use alternative organic reduced nitrogen forms like urea and cyanate, as indicated by the presence of cyanase (cynS) and urease (ureC) genes.
Methods: Here we examine the Hawaii Ocean Time series, two stations in the Eastern Tropical South Pacific ODZ and one in the Eastern Tropical North Pacific ODZ, using phylogenetic read placement of metagenomic reads to define the proportion of each taxon capable of using cyanate and/or urea in oxic and anoxic environments.
Results: An improved phylogenetic tree found that Thioglobaceae and Verrucomicrobia had the capability to use urea. Our detailed examination of all the microbial groups able to use cyanate and urea illuminated that niche differentiation, an adaptation to minimize competition, determines chosen nitrogen sources, partitioning by depth and oxygen. Urease genes were found in Picocyanobacteria and SAR11 in surface waters, Thaumarchaeota and Nitrospina in deep waters, Thioglobaceae and Cand. Scalindua in ODZs, and Verrucomicrobia in the deep oxycline. In the ODZs, the percentage of Anammox bacteria that contained cynS was double that of those containing ureC, and their cynS transcripts were abundant, indicating a preference for cyanate over urea.
Discussion: While Prochlorococcus could utilize cyanate in the deep chlorophyll maximum, in the ODZs, Prochlorococcus uses nitrite rather than compete with Cand. Scalindua for cyanate, even though cyanate is present. SAR11 and Prochlorococcus may compete for urea in surface waters, but for SAR11, the presence of ureC was negatively correlated with nitrate concentration (p = 10(-17)), with similar to 40% of SAR11 genomes containing the ureC gene in oxic surface waters but none at depth, indicating that SAR11 bacteria switched to using nitrate when available. In the oxycline above the ODZ, where Thaumarchaeota and Nitrospina both could use urea, 50% of Nitrospina were also able to use cyanate, and their cyanase transcripts were present. This use of dissolved organic N should allow a higher biomass of N-cycling microbes and higher N-transformation rates than in a system competing for ammonia only.
C1 [Huanca-Valenzuela, Paulina; Cram, Jacob A.; Fuchsman, Clara A.] Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.
RP Fuchsman, CA (corresponding author), Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.
EM cfuchsman@umces.edu
CR Ahlgren NA, 2006, ENVIRON MICROBIOL, V8, P441, DOI 10.1111/j.1462-2920.2005.00910.x
Ahlgren NA, 2017, ENVIRON MICROBIOL, V19, P2434, DOI 10.1111/1462-2920.13768
Aldunate M, 2020, LIMNOL OCEANOGR, V65, P437, DOI 10.1002/lno.11315
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Babbin AR, 2020, MAR CHEM, V224, DOI 10.1016/j.marchem.2020.103814
Babbin AR, 2017, GLOBAL BIOGEOCHEM CY, V31, P258, DOI 10.1002/2016GB005407
Babbin AR, 2014, SCIENCE, V344, P406, DOI 10.1126/science.1248364
Barbera P, 2019, SYST BIOL, V68, P365, DOI 10.1093/sysbio/syy054
Bayer B, 2021, ISME J, V15, P1025, DOI 10.1038/s41396-020-00828-3
Berger SA, 2011, BIOINFORMATICS, V27, P2068, DOI 10.1093/bioinformatics/btr320
Berman T, 1999, AQUAT MICROB ECOL, V16, P295, DOI 10.3354/ame016295
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Berube PM, 2016, LIMNOL OCEANOGR, V61, P482, DOI 10.1002/lno.10226
Bianchi D, 2014, P NATL ACAD SCI USA, V111, P15653, DOI 10.1073/pnas.1410790111
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Brown SA, 2022, BIOGEOSCIENCES, V19, P5617, DOI 10.5194/bg-19-5617-2022
Busi SB, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00030-2
Callbeck CM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04041-x
Cepeda-Morales J, 2009, CIENC MAR, V35, P389, DOI 10.7773/cm.v35i4.1622
Cho BC, 1996, MAR ECOL PROG SER, V142, P19, DOI 10.3354/meps142019
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
Clifford EL, 2017, LIMNOL OCEANOGR, V62, P2745, DOI 10.1002/lno.10603
Connelly TL, 2014, APPL ENVIRON MICROB, V80, P6013, DOI 10.1128/AEM.01431-14
Czech L, 2020, BIOINFORMATICS, V36, P3263, DOI 10.1093/bioinformatics/btaa070
Dalsgaard T, 2012, LIMNOL OCEANOGR, V57, P1331, DOI 10.4319/lo.2012.57.5.1331
Delmont TO, 2022, ISME J, V16, P927, DOI 10.1038/s41396-021-01135-1
Devol AH, 2003, NATURE, V422, P575, DOI 10.1038/422575a
DeVries T, 2013, BIOGEOSCIENCES, V10, P2481, DOI 10.5194/bg-10-2481-2013
Druon JN, 2010, ESTUAR COAST SHELF S, V88, P488, DOI 10.1016/j.ecss.2010.05.010
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Fuchsman CA, 2023, ENVIRON MICROBIOL, V25, P3349, DOI 10.1111/1462-2920.16525
Fuchsman CA, 2023, PEERJ, V11, DOI 10.7717/peerj.14924
Fuchsman CA, 2022, ENVIRON MICROBIOL, V24, P1790, DOI 10.1111/1462-2920.15893
Fuchsman CA, 2019, ISME J, V13, P2714, DOI 10.1038/s41396-019-0452-6
Fuchsman CA, 2018, DEEP-SEA RES PT II, V156, P137, DOI 10.1016/j.dsr2.2017.12.013
Fuchsman CA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02384
Fuchsman CA, 2012, FEMS MICROBIOL ECOL, V80, P402, DOI 10.1111/j.1574-6941.2012.01306.x
Ganesh S, 2018, ISME J, V12, P2706, DOI 10.1038/s41396-018-0223-9
Garcia H. E., 2019, World Ocean Atlas 2018 Volume 3: Dissolved Oxygen, Apparent Oxygen Utilization, and Dissolved Oxygen Saturation, V83, P1
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2019, MBIO, V10, DOI 10.1128/mBio.00246-19
Glibert PM, 2016, LIMNOL OCEANOGR, V61, P165, DOI 10.1002/lno.10203
Hausinger RP, 2004, J BACTERIOL, V186, P2520, DOI 10.1128/JB.186.9.2520-2522.2004
Horak REA, 2016, GEOPHYS RES LETT, V43, P5252, DOI 10.1002/2016GL068871
Howe KL, 2023, FEMS MICROBIOL ECOL, V99, DOI 10.1093/femsec/fiac153
Ito T, 2017, GEOPHYS RES LETT, V44, P4214, DOI 10.1002/2017GL073613
JOHNSON WV, 1987, J BIOL CHEM, V262, P9021
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kamennaya NA, 2011, APPL ENVIRON MICROB, V77, P291, DOI 10.1128/AEM.01272-10
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
Kitzinger K, 2019, NAT MICROBIOL, V4, P234, DOI 10.1038/s41564-018-0316-2
Kozlov AM, 2019, BIOINFORMATICS, V35, P4453, DOI 10.1093/bioinformatics/btz305
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Lanclos VC, 2023, ISME J, V17, P620, DOI 10.1038/s41396-023-01376-2
Lehmann MF, 2020, GEOCHIM COSMOCHIM AC, V283, P67, DOI 10.1016/j.gca.2020.05.025
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Luo EL, 2020, ISME J, V14, P1304, DOI 10.1038/s41396-020-0604-8
Luo HW, 2014, ISME J, V8, P732, DOI 10.1038/ismej.2013.202
Maas AE, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.573268
Maas AE, 2014, J PLANKTON RES, V36, P1557, DOI 10.1093/plankt/fbu077
Mao XW, 2022, ISME J, V16, P602, DOI 10.1038/s41396-021-01081-y
Marshall K.T., 2015, Genome Announc, V3, pe01155, DOI DOI 10.1128/GENOMEA.01155-15
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Mattes TE, 2022, MICROBIOL RESOUR ANN, V11, DOI 10.1128/mra.01201-21
Miller CA, 1998, J PLANKTON RES, V20, P1767, DOI 10.1093/plankt/20.9.1767
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nixon SL, 2019, MSPHERE, V4, DOI 10.1128/mSphere.00613-19
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Painter SC, 2008, MAR ECOL PROG SER, V368, P53, DOI 10.3354/meps07586
Palatinszky M, 2015, NATURE, V524, P105, DOI 10.1038/nature14856
Parada AE, 2023, ENVIRON MICROBIOL, V25, P689, DOI 10.1111/1462-2920.16299
Penn JL, 2019, P NATL ACAD SCI USA, V116, P7220, DOI 10.1073/pnas.1818014116
Peters B, 2018, DEEP-SEA RES PT II, V156, P121, DOI 10.1016/j.dsr2.2018.02.011
Pitt KA, 2009, HYDROBIOLOGIA, V616, P133, DOI 10.1007/s10750-008-9584-9
Priddle J, 1997, J PLANKTON RES, V19, P1305, DOI 10.1093/plankt/19.9.1305
Qin W., 2014, Nat. Microbiol, V9, P524
Qin W, 2014, P NATL ACAD SCI USA, V111, P12504, DOI 10.1073/pnas.1324115111
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Revsbech NP, 2009, LIMNOL OCEANOGR-METH, V7, P371, DOI 10.4319/lom.2009.7.371
Rii YM, 2016, MAR ECOL PROG SER, V562, P1, DOI 10.3354/meps11954
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Santoro AE, 2017, LIMNOL OCEANOGR, V62, P1984, DOI 10.1002/lno.10547
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Schmitz RA, 2021, FEMS MICROBIOL REV, V45, DOI 10.1093/femsre/fuab007
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Shah V, 2019, MBIO, V10, DOI 10.1128/mBio.00216-19
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Shah V, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.01156-15
Shiozaki T, 2021, LIMNOL OCEANOGR, V66, P4159, DOI 10.1002/lno.11950
SIEBURTH JM, 1987, CURR MICROBIOL, V14, P285, DOI 10.1007/BF01568138
Spieck E, 2014, SYST APPL MICROBIOL, V37, P170, DOI 10.1016/j.syapm.2013.12.005
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Takeda N, 2020, TALANTA, V208, DOI 10.1016/j.talanta.2019.120371
Thibodeau PS, 2020, J EXP MAR BIOL ECOL, V530, DOI 10.1016/j.jembe.2020.151412
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Tolar BB, 2017, ENVIRON MICROBIOL, V19, P4838, DOI 10.1111/1462-2920.13457
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2025638118
van de Vossenberg J, 2013, ENVIRON MICROBIOL, V15, P1275, DOI 10.1111/j.1462-2920.2012.02774.x
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
WEBB KL, 1967, LIMNOL OCEANOGR, V12, P376, DOI 10.4319/lo.1967.12.3.0376
Widner B, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy138
Widner B, 2018, LIMNOL OCEANOGR, V63, pS177, DOI 10.1002/lno.10730
Widner B, 2017, LIMNOL OCEANOGR, V62, P2538, DOI 10.1002/lno.10588
Widner B, 2016, ENVIRON SCI TECH LET, V3, P297, DOI 10.1021/acs.estlett.6b00165
Widner B, 2013, ANAL CHEM, V85, P6661, DOI 10.1021/ac400351c
Wishner KF, 2020, BIOGEOSCIENCES, V17, P2315, DOI 10.5194/bg-17-2315-2020
Wong JCY, 2023, LIMNOL OCEANOGR, V68, P1417, DOI 10.1002/lno.12367
Yamashita Y, 2003, MAR CHEM, V82, P145, DOI 10.1016/S0304-4203(03)00049-5
Zhang IH, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00284-y
Zinser ER, 2007, LIMNOL OCEANOGR, V52, P2205, DOI 10.4319/lo.2007.52.5.2205
Zubkov MV, 2008, J PLANKTON RES, V30, P211, DOI 10.1093/plankt/fbm091
NR 117
TC 2
Z9 2
PD JUL 16
PY 2024
VL 11
AR 1386686
DI 10.3389/fmars.2024.1386686
UT WOS:001280178200001
DA 2025-07-30
ER
PT J
AU Landry, MR
Freibott, AL
Rabines, A
Allen, AE
AF Landry, Michael R.
Freibott, Alexandra L.
Rabines, Ariel
Allen, Andrew E.
TI Determining growth rates of heterotrophic bacteria from 16S rRNA gene
sequence-based analyses of dilution experiments
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Vital rates, including growth responses to environmental variability, are poorly characterized for the diverse taxa of heterotrophic bacteria (HBact) in marine ecosystems. Here, we evaluated the potential for combining molecular analyses with dilution experiments to assess taxon-specific growth (cell division) and net growth rates of HBact in natural waters. Two-treatment dilution experiments were conducted with in situ incubations under 3 environmental conditions in the California Current Ecosystem, at offshore and inshore sites during a warm upwelling-suppressed year (2014) and for normal inshore upwelling, representing a 33-fold primary production range. Relative sequence reads from 16S rRNA metabarcoding were normalized to total HBact counts from flow cytometry for community abundance and rate calculations. Composition varied from dominance of Alphaproteobacteria (56%) in oligotrophic offshore (SAR11) and mesotrophic inshore waters (SAR11 and Rhodobacteria) to Bacteriodes/Flavobacteria dominance (64%) and mixed sub-taxon importance (Polaribacter, Rhodobacteria, Formosa) during upwelling. Net growth rates in bottles, validated by comparison to ambient community net growth following a satellite-tracked drifter, varied from near steady state for offshore and inshore conditions to dynamic community changes during upwelling. Mean growth rates doubled (0.33 to 0.62 d-1) over the productivity range, and taxon estimates varied from -0.17 d-1 (Formosa, offshore) to 1.53 d-1 (SAR11, upwelling). Increasing growth of Flavobacteria and Rhodobacteria paralleled their abundance and dominance increases with productivity. SAR11 growth remained higher than average with increasing production, despite declining abundances. We highlight possible PCR or 16S rRNA gene copy biases of growth rate estimates as research needs for further applications of this approach.
C1 [Landry, Michael R.; Freibott, Alexandra L.; Rabines, Ariel; Allen, Andrew E.] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
[Rabines, Ariel; Allen, Andrew E.] J Craig Venter Inst, Microbial & Environm Genom, La Jolla, CA 92037 USA.
RP Landry, MR (corresponding author), Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
EM mlandry@ucsd.edu
CR Acinas SG, 2005, APPL ENVIRON MICROB, V71, P8966, DOI 10.1128/AEM.71.12.8966-8969.2005
Alonso-Sáez L, 2010, ENVIRON MICROBIOL, V12, P2988, DOI 10.1111/j.1462-2920.2010.02276.x
Baudoux AC, 2008, AQUAT MICROB ECOL, V52, P69, DOI 10.3354/ame01207
Bennke CM, 2016, APPL ENVIRON MICROB, V82, P3289, DOI 10.1128/AEM.03931-15
Bond NA, 2015, GEOPHYS RES LETT, V42, P3414, DOI 10.1002/2015GL063306
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Chen BZ, 2015, LIMNOL OCEANOGR-METH, V13, P521, DOI 10.1002/lom3.10044
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fecskeová LK, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00934-21
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
FUHRMAN JA, 1985, MAR ECOL PROG SER, V25, P13, DOI 10.3354/meps025013
GALLEGOS CL, 1989, MAR ECOL PROG SER, V57, P23, DOI 10.3354/meps057023
Gattuso JP, 2002, J PLANKTON RES, V24, P1197, DOI 10.1093/plankt/24.11.1197
Hammes F, 2010, APPL ENVIRON MICROB, V76, P1278, DOI 10.1128/AEM.01914-09
Jacox MG, 2016, GEOPHYS RES LETT, V43, P7072, DOI 10.1002/2016GL069716
Kahru M, 2018, DEEP-SEA RES PT I, V140, P4, DOI 10.1016/j.dsr.2018.04.007
Kintisch E, 2015, SCIENCE, V348, P17, DOI 10.1126/science.348.6230.17
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kirchman DL., 1993, HDB METHODS AQUATIC, P513
Landry M.R., 1993, handbook of methods in aquatic microbial ecology, P715
Landry MR, 2008, DEEP-SEA RES PT II, V55, P1348, DOI 10.1016/j.dsr2.2008.02.001
Landry MR, 2023, LIMNOL OCEANOGR-METH, V21, P295, DOI 10.1002/lom3.10546
Landry MR, 2022, J PLANKTON RES, V44, P638, DOI 10.1093/plankt/fbab021
Landry MR, 2011, DEEP-SEA RES PT II, V58, P524, DOI 10.1016/j.dsr2.2010.08.011
Landry MR, 2009, PROG OCEANOGR, V83, P208, DOI 10.1016/j.pocean.2009.07.026
LANDRY MR, 1982, MAR BIOL, V67, P283, DOI 10.1007/BF00397668
Landry MR, 1998, DEEP-SEA RES PT II, V45, P2353, DOI 10.1016/S0967-0645(98)00074-5
Lessard EJ, 1998, AQUAT MICROB ECOL, V16, P173, DOI 10.3354/ame016173
Louca S, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0420-9
Mahé F, 2014, PEERJ, V2, DOI 10.7717/peerj.593
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
MONGER BC, 1993, APPL ENVIRON MICROB, V59, P905, DOI 10.1128/AEM.59.3.905-911.1993
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pasulka AL, 2015, J PLANKTON RES, V37, P320, DOI 10.1093/plankt/fbv011
Pearson William R, 2016, Curr Protoc Bioinformatics, V53, DOI 10.1002/0471250953.bi0309s53
Popendorf KJ, 2020, LIMNOL OCEANOGR, V65, P1876, DOI 10.1002/lno.11424
Pree B, 2016, LIMNOL OCEANOGR-METH, V14, P114, DOI 10.1002/lom3.10076
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Sánchez O, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76590-5
Sánchez O, 2017, ENV MICROBIOL REP, V9, P300, DOI 10.1111/1758-2229.12535
Silverman JD, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009113
Stoddard SF, 2015, NUCLEIC ACIDS RES, V43, pD593, DOI 10.1093/nar/gku1201
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Zaba KD, 2016, GEOPHYS RES LETT, V43, P1241, DOI 10.1002/2015GL067550
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zhong KX, 2023, ISME J, V17, P105, DOI 10.1038/s41396-022-01327-3
NR 56
TC 0
Z9 0
PD FEB 29
PY 2024
VL 90
BP 23
EP 39
DI 10.3354/ame02006
UT WOS:001199767100001
DA 2025-07-30
ER
PT J
AU Qin, QL
Li, Y
Sun, LL
Wang, ZB
Wang, S
Chen, XL
Oren, A
Zhang, YZ
AF Qin, Qi-Long
Li, Yi
Sun, Lin-Lin
Wang, Zhi-Bin
Wang, Shi
Chen, Xiu-Lan
Oren, Aharon
Zhang, Yu-Zhong
TI Trophic Specialization Results in Genomic Reduction in Free-Living
Marine Idiomarina Bacteria
SO MBIO
DT Article
AB The streamlining hypothesis is generally used to explain the genomic reduction events related to the small genome size of free-living bacteria like marine bacteria SAR11. However, our current understanding of the correlation between bacterial genome size and environmental adaptation relies on too few species. It is still unclear whether there are other paths leading to genomic reduction in free-living bacteria. The genome size of marine free-living bacteria of the genus Idiomarina belonging to the order Alteromonadales (Gammaproteobacteria) is much smaller than the size of related genomes from bacteria in the same order. Comparative genomic and physiological analyses showed that the genomic reduction pattern in this genus is different from that of the classical SAR11 lineage. Genomic reduction reconstruction and substrate utilization profile showed that Idiomarina spp. lost a large number of genes related to carbohydrate utilization, and instead they specialized on using proteinaceous resources. Here we propose a new hypothesis to explain genomic reduction in this genus; we propose that trophic specialization increasing the metabolic efficiency for using one kind of substrate but reducing the substrate utilization spectrum could result in bacterial genomic reduction, which would be not uncommon in nature. This hypothesis was further tested in another free-living genus, Kangiella, which also shows dramatic genomic reduction. These findings highlight that trophic specialization is potentially an important path leading to genomic reduction in some marine free-living bacteria, which is distinct from the classical lineages like SAR11.
IMPORTANCE The streamlining hypothesis is usually used to explain the genomic reduction events in free-living bacteria like SAR11. However, we find that the genomic reduction phenomenon in the bacterial genus Idiomarina is different from that in SAR11. Therefore, we propose a new hypothesis to explain genomic reduction in this genus based on trophic specialization that could result in genomic reduction, which would be not uncommon in nature. Not only can the trophic specialization hypothesis explain the genomic reduction in the genus Idiomarina, but it also sheds new light on our understanding of the genomic reduction processes in other free-living bacterial lineages.
C1 [Qin, Qi-Long; Li, Yi; Sun, Lin-Lin; Wang, Zhi-Bin; Chen, Xiu-Lan; Zhang, Yu-Zhong] Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Peoples R China.
[Wang, Shi; Zhang, Yu-Zhong] Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
[Chen, Xiu-Lan; Zhang, Yu-Zhong] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.
[Oren, Aharon] Hebrew Univ Jerusalem, Alexander Silberman Inst Life Sci, Dept Plant & Environm Sci, Edmond J Safra Campus, Jerusalem, Israel.
RP Zhang, YZ (corresponding author), Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Peoples R China.; Zhang, YZ (corresponding author), Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.; Zhang, YZ (corresponding author), Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.; Oren, A (corresponding author), Hebrew Univ Jerusalem, Alexander Silberman Inst Life Sci, Dept Plant & Environm Sci, Edmond J Safra Campus, Jerusalem, Israel.
EM aharon.oren@mail.huji.ac.il; zhangyz@sdu.edu.cn
CR Abby S, 2007, TRENDS MICROBIOL, V15, P135, DOI 10.1016/j.tim.2007.01.007
Albertsen M, 2013, NAT BIOTECHNOL, V31, P533, DOI 10.1038/nbt.2579
Aluwihare LI, 2005, SCIENCE, V308, P1007, DOI 10.1126/science.1108925
[Anonymous], CURR PROTOC BIOINFOR
Barve A, 2013, NATURE, V500, P203, DOI 10.1038/nature12301
Batut B, 2014, NAT REV MICROBIOL, V12, P841, DOI 10.1038/nrmicro3331
Button DK, 1998, MICROBIOL MOL BIOL R, V62, P636, DOI 10.1128/MMBR.62.3.636-645.1998
Caspermeyer J, 2016, MOL BIOL EVOL, V33, P1887, DOI 10.1093/molbev/msw074
Choe H, 2015, MAR GENOM, V24, P215, DOI 10.1016/j.margen.2015.05.015
Choi DH, 2005, INT J SYST EVOL MICR, V55, P379, DOI 10.1099/ijs.0.63365-0
Csurös M, 2010, BIOINFORMATICS, V26, P1910, DOI 10.1093/bioinformatics/btq315
de la Cruz F, 2000, TRENDS MICROBIOL, V8, P128, DOI 10.1016/S0966-842X(00)01703-0
Donachie SP, 2003, INT J SYST EVOL MICR, V53, P1873, DOI 10.1099/ijs.0.02701-0
Du JL, 2014, MOL BIOSYST, V10, P2441, DOI 10.1039/c4mb00287c
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Fuhrman LK, 1998, FEMS MICROBIOL LETT, V159, P261, DOI 10.1111/j.1574-6968.1998.tb12870.x
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Gupta HK, 2011, J BACTERIOL, V193, P5875, DOI 10.1128/JB.05648-11
Hou SB, 2004, P NATL ACAD SCI USA, V101, P18036, DOI 10.1073/pnas.0407638102
Ivanova EP, 2000, INT J SYST EVOL MICR, V50, P901, DOI 10.1099/00207713-50-2-901
Karcagi I, 2016, MOL BIOL EVOL, V33, P1257, DOI 10.1093/molbev/msw009
Lee SY, 2013, INT J SYST EVOL MICR, V63, P1001, DOI 10.1099/ijs.0.040691-0
Lepcha RT, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.00831-16
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
Luo HW, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.91
Luo HW, 2015, TRENDS MICROBIOL, V23, P577, DOI 10.1016/j.tim.2015.05.004
Luo HW, 2014, ISME J, V8, P1428, DOI 10.1038/ismej.2013.248
Luo HW, 2012, ENVIRON MICROBIOL, V14, P41, DOI 10.1111/j.1462-2920.2011.02528.x
Martínez-Cano DJ, 2015, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00742
Matsuyama H, 2006, INT J SYST EVOL MICR, V56, P2883, DOI 10.1099/ijs.0.64413-0
Mithoefer S, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.01257-15
Moran NA, 2002, CELL, V108, P583, DOI 10.1016/S0092-8674(02)00665-7
Overbeek R, 2014, NUCLEIC ACIDS RES, V42, pD206, DOI 10.1093/nar/gkt1226
Qin QL, 2014, ENVIRON MICROBIOL, V16, P1642, DOI 10.1111/1462-2920.12318
Qin QL, 2014, J BACTERIOL, V196, P2210, DOI 10.1128/JB.01688-14
Ran LY, 2014, J BIOL CHEM, V289, P6041, DOI 10.1074/jbc.M113.513861
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Saier MH Jr, 2016, NUCLEIC ACIDS RES, V44, pD372, DOI 10.1093/nar/gkv1103
Sela I, 2016, P NATL ACAD SCI USA, V113, P11399, DOI 10.1073/pnas.1614083113
Shivaji S, 2014, INT J SYST EVOL MICR, V64, P3264, DOI 10.1099/ijs.0.065409-0
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tian WN, 1998, J BIOL CHEM, V273, P10609, DOI 10.1074/jbc.273.17.10609
Wernegreen JJ, 2015, ANN NY ACAD SCI, V1360, P16, DOI 10.1111/nyas.12740
Wolf YI, 2013, BIOESSAYS, V35, P829, DOI 10.1002/bies.201300037
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yoon JH, 2004, INT J SYST EVOL MICR, V54, P1829, DOI 10.1099/ijs.0.63156-0
Yoon JH, 2012, INT J SYST EVOL MICR, V62, P511, DOI 10.1099/ijs.0.029314-0
Yu NY, 2010, BIOINFORMATICS, V26, P1608, DOI 10.1093/bioinformatics/btq249
Zachariah S, 2017, ANTON LEEUW INT J G, V110, P1581, DOI 10.1007/s10482-017-0908-5
Zhaxybayeva O, 2011, CURR BIOL, V21, pR242, DOI 10.1016/j.cub.2011.01.045
NR 53
TC 20
Z9 21
PD JAN-FEB
PY 2019
VL 10
IS 1
AR e02545-18
DI 10.1128/mBio.02545-18
UT WOS:000460314300052
DA 2025-07-30
ER
PT J
AU Evans, C
Gomez-Pereira, PR
Martin, AP
Scanlan, DJ
Zubkov, MV
AF Evans, Claire
Gomez-Pereira, Paola R.
Martin, Adrian P.
Scanlan, David J.
Zubkov, Mikhail V.
TI Photoheterotrophy of bacterioplankton is ubiquitous in the surface
oligotrophic ocean
SO PROGRESS IN OCEANOGRAPHY
DT Review
AB Accurate measurements in the Southern Hemisphere were obtained to test a hypothesis of the ubiquity of photoheterotrophy in the oligotrophic ocean. We present experimental results of light-enhanced uptake of methionine, leucine and ATP by bacterioplankton during two large-scale transects of the South Atlantic. Light increased the uptake of substrates by both dominant bacterioplankton groups, Prochlorococcus and SAR11, as well as for the bulk microbial community. Our consistent experimental evidence strongly indicates that photoheterotrophy is characteristic of dominant bacterioplankton populations in the global oligotrophic ocean. (C) 2015 Elsevier Ltd. All rights reserved.
C1 [Evans, Claire; Gomez-Pereira, Paola R.; Martin, Adrian P.; Zubkov, Mikhail V.] Natl Oceanog Ctr, Ocean Biogeochem & Ecosyst Res Grp, Southampton, Hants, England.
[Scanlan, David J.] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
RP Zubkov, MV (corresponding author), Natl Oceanog Ctr, Ocean Biogeochem & Ecosyst Res Grp, European Way, Southampton, Hants, England.
EM mvz@noc.ac.uk
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
[Anonymous], PLOS ONE
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bjorkman KM, 2003, LIMNOL OCEANOGR, V48, P1049
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Church MJ, 2006, AQUAT MICROB ECOL, V45, P41, DOI 10.3354/ame045041
Church MJ, 2004, APPL ENVIRON MICROB, V70, P4079, DOI 10.1128/AEM.70.7.4079-4087.2004
del Giorgio PA, 2002, NATURE, V420, P379, DOI 10.1038/nature01165
DUCE RA, 1991, LIMNOL OCEANOGR, V36, P1715, DOI 10.4319/lo.1991.36.8.1715
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Hill PG, 2011, PROG OCEANOGR, V91, P437, DOI 10.1016/j.pocean.2011.05.006
Kirchman DL, 2013, ENV MICROBIOL REP, V5, P188, DOI 10.1111/j.1758-2229.2012.00367.x
Kirchman DL, 1997, NATURE, V385, P121, DOI 10.1038/385121a0
Koblizek M., 2011, Microbial Carbon Pump in the Ocean
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Kolowith LC, 2001, LIMNOL OCEANOGR, V46, P309, DOI 10.4319/lo.2001.46.2.0309
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Michelou VK, 2011, LIMNOL OCEANOGR, V56, P323, DOI 10.4319/lo.2011.56.1.0323
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moore CM, 2009, NAT GEOSCI, V2, P867, DOI 10.1038/ngeo667
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Ruiz-González C, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00131
Ruiz-González C, 2012, ISME J, V6, P650, DOI 10.1038/ismej.2011.118
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Straub M, 2013, NATURE, V501, P200, DOI 10.1038/nature12397
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
Zubkov MV, 2006, CYTOM PART A, V69A, P1010, DOI 10.1002/cyto.a.20332
Zubkov MV, 2009, J PLANKTON RES, V31, P933, DOI 10.1093/plankt/fbp043
Zubkov MV, 2006, AQUAT MICROB ECOL, V43, P23, DOI 10.3354/ame043023
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 36
TC 14
Z9 16
PD JUN
PY 2015
VL 135
BP 139
EP 145
DI 10.1016/j.pocean.2015.04.014
UT WOS:000356552100010
DA 2025-07-30
ER
PT J
AU Buchholz, HH
Bolaños, LM
Bell, AG
Michelsen, ML
Allen, MJ
Temperton, B
AF Buchholz, Holger H.
Bolanos, Luis M.
Bell, Ashley G.
Michelsen, Michelle L.
Allen, Michael J.
Temperton, Ben
TI A Novel and Ubiquitous Marine Methylophage Provides Insights into
Viral-Host Coevolution and Possible Host-Range Expansion in Streamlined
Marine Heterotrophic Bacteria
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Isolation and cultivation of viruses are the foundations on which the mechanistic understanding of virus-host interactions and parameterization of bioinformatic tools for viral ecology are based. This study isolated and characterized the first myophage known to infect the OM43 clade, expanding our knowledge of this understudied group of microbes.
The methylotrophic OM43 clade are Gammaproteobacteria that comprise some of the smallest free-living cells known and have highly streamlined genomes. OM43 represents an important microbial link between marine primary production and remineralization of carbon back to the atmosphere. Bacteriophages shape microbial communities and are major drivers of mortality and global marine biogeochemistry. Recent cultivation efforts have brought the first viruses infecting members of the OM43 clade into culture. Here, we characterize a novel myophage infecting OM43 called Melnitz. Melnitz was isolated independently from water samples from a subtropical ocean gyre (Sargasso Sea) and temperate coastal (Western English Channel) systems. Metagenomic recruitment from global ocean viromes confirmed that Melnitz is globally ubiquitous, congruent with patterns of host abundance. Bacteria with streamlined genomes such as OM43 and the globally dominant SAR11 clade use riboswitches as an efficient method to regulate metabolism. Melnitz encodes a two-piece tmRNA (ssrA), controlled by a glutamine riboswitch, providing evidence that riboswitch use also occurs for regulation during phage infection of streamlined heterotrophs. Virally encoded tRNAs and ssrA found in Melnitz were phylogenetically more closely related to those found within the alphaproteobacterial SAR11 clade and their associated myophages than those within their gammaproteobacterial hosts. This suggests the possibility of an ancestral host transition event between SAR11 and OM43. Melnitz and a related myophage that infects SAR11 were unable to infect hosts of the SAR11 and OM43, respectively, suggesting host transition rather than a broadening of host range. IMPORTANCE Isolation and cultivation of viruses are the foundations on which the mechanistic understanding of virus-host interactions and parameterization of bioinformatic tools for viral ecology are based. This study isolated and characterized the first myophage known to infect the OM43 clade, expanding our knowledge of this understudied group of microbes. The nearly identical genomes of four strains of Melnitz isolated from different marine provinces and the global abundance estimations from metagenomic data suggest that this viral population is globally ubiquitous. Genome analysis revealed several unusual features in Melnitz and related genomes recovered from viromes, such as a curli operon and virally encoded tmRNA controlled by a glutamine riboswitch, neither of which are found in the host. Further phylogenetic analysis of shared genes indicates that this group of viruses infecting the gammaproteobacterial OM43 shares a recent common ancestor with viruses infecting the abundant alphaproteobacterial SAR11 clade. Host ranges are affected by compatible cell surface receptors, successful circumvention of superinfection exclusion systems, and the presence of required accessory proteins, which typically limits phages to singular narrow groups of closely related bacterial hosts. This study provides intriguing evidence that for streamlined heterotrophic bacteria, virus-host transitioning may not be necessarily restricted to phylogenetically related hosts but is a function of shared physical and biochemical properties of the cell.
C1 [Buchholz, Holger H.; Bolanos, Luis M.; Bell, Ashley G.; Michelsen, Michelle L.; Allen, Michael J.; Temperton, Ben] Univ Exeter, Sch Biosci, Exeter, Devon, England.
[Allen, Michael J.] Plymouth Marine Lab, Plymouth, Devon, England.
RP Temperton, B (corresponding author), Univ Exeter, Sch Biosci, Exeter, Devon, England.
EM b.temperton@exeter.ac.uk
CR Ackermann Hans-W., 2009, V501, P113, DOI 10.1007/978-1-60327-164-6_12
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Anisimova M, 2006, SYST BIOL, V55, P539, DOI 10.1080/10635150600755453
Avrani Sarit, 2012, Mob Genet Elements, V2, P88
Bairoch A, 2000, NUCLEIC ACIDS RES, V28, P45, DOI 10.1093/nar/28.1.45
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Barnhart MM, 2006, ANNU REV MICROBIOL, V60, P131, DOI 10.1146/annurev.micro.60.080805.142106
Beale R, 2015, MAR CHEM, V171, P96, DOI 10.1016/j.marchem.2015.02.013
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Besemer J, 1999, NUCLEIC ACIDS RES, V27, P3911, DOI 10.1093/nar/27.19.3911
Bolduc B, 2017, PEERJ, V5, DOI 10.7717/peerj.3243
Bondy-Denomy J, 2016, ISME J, V10, P2854, DOI 10.1038/ismej.2016.79
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brussaard CPD, 2008, ISME J, V2, P575, DOI 10.1038/ismej.2008.31
Michael JB, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002048
Buchholz HH, 2021, MICROBIOL RESOUR ANN, V10, DOI 10.1128/MRA.01325-20
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Burrowes BH, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11030241
Bushnell B, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185056
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Casey A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01107
Catalao MJ, 2013, FEMS MICROBIOL REV, V37, P554, DOI 10.1111/1574-6976.12006
Conners R, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26610-3
Cook R., 2021, PHAGE-THER APPL RES, V2, P214, DOI [DOI 10.1089/PHAGE.2021.0007, 10.1089/phage.2021.0007]
Coutinho FH, 2021, PATTERNS, V2, DOI 10.1016/j.patter.2021.100274
de Jonge PA, 2019, TRENDS MICROBIOL, V27, P51, DOI 10.1016/j.tim.2018.08.006
De Paepe M, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004181
Del Giudice MG, 2013, INFECT IMMUN, V81, P956, DOI 10.1128/IAI.01158-12
Dereeper A, 2008, NUCLEIC ACIDS RES, V36, pW465, DOI 10.1093/nar/gkn180
Doron S, 2016, ISME J, V10, P1437, DOI 10.1038/ismej.2015.210
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edwards RA, 2016, FEMS MICROBIOL REV, V40, P258, DOI 10.1093/femsre/fuv048
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Forterre P, 2011, CR CHIM, V14, P392, DOI 10.1016/j.crci.2010.06.007
Frias MJ, 2009, J BACTERIOL, V191, P5428, DOI 10.1128/JB.00477-09
Geiduschek EP, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-288
Ghosh S, 2020, FEMS MICROBIOL LETT, V367, DOI 10.1093/femsle/fnaa176
Gibbons SM, 2013, P NATL ACAD SCI USA, V110, P4651, DOI 10.1073/pnas.1217767110
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Hinton DM, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-289
Howard-Varona C, 2020, ISME J, V14, P881, DOI 10.1038/s41396-019-0580-z
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Hyun Y, 2021, MOL CELLS, V44, P517, DOI 10.14348/molcells.2021.0011
Jang HB, 2019, NAT BIOTECHNOL, V37, P632, DOI 10.1038/s41587-019-0100-8
JORDAN A, 1994, P NATL ACAD SCI USA, V91, P12892, DOI 10.1073/pnas.91.26.12892
Jumper J, 2021, NATURE, V596, P583, DOI 10.1038/s41586-021-03819-2
Kanehisa M, 2017, NUCLEIC ACIDS RES, V45, pD353, DOI 10.1093/nar/gkw1092
Keiler KC, 2000, P NATL ACAD SCI USA, V97, P7778, DOI 10.1073/pnas.97.14.7778
Kelley LA, 2015, NAT PROTOC, V10, P845, DOI 10.1038/nprot.2015.053
Klähn S, 2018, NUCLEIC ACIDS RES, V46, P10082, DOI 10.1093/nar/gky709
KOSSYKH VG, 1995, J BIOL CHEM, V270, P14389, DOI 10.1074/jbc.270.24.14389
Kupczok A, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11080720
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Laslett D, 2004, NUCLEIC ACIDS RES, V32, P11, DOI 10.1093/nar/gkh152
LEWIS LO, 1988, CURR MICROBIOL, V17, P55, DOI 10.1007/BF01568820
Lomsadze A, 2018, GENOME RES, V28, P1079, DOI 10.1101/gr.230615.117
Lowe TM, 2016, NUCLEIC ACIDS RES, V44, pW54, DOI 10.1093/nar/gkw413
Luo EL, 2020, ISME J, V14, P1304, DOI 10.1038/s41396-020-0604-8
Mahichi F, 2009, FEMS MICROBIOL LETT, V295, P211, DOI 10.1111/j.1574-6968.2009.01588.x
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Martiny JBH, 2014, ANNU REV MAR SCI, V6, P393, DOI 10.1146/annurev-marine-010213-135108
McNair K, 2019, BIOINFORMATICS, V35, P4537, DOI 10.1093/bioinformatics/btz265
Miller ES, 2003, MICROBIOL MOL BIOL R, V67, P86, DOI 10.1128/MMBR.67.1.86-156.2003
Miller ES, 2003, J BACTERIOL, V185, P5220, DOI 10.1128/JB.185.17.5220-5233.2003
Mizuno CM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08672-6
Moon K, 2017, ENVIRON MICROBIOL, V19, P4714, DOI 10.1111/1462-2920.13936
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Mukherjee S, 2016, BIOINFORMATICS, V32, P776, DOI 10.1093/bioinformatics/btv640
Murphy J, 2013, APPL ENVIRON MICROB, V79, P7547, DOI 10.1128/AEM.02229-13
Nayfach S., 2020, BIORXIV, DOI DOI 10.1101/2020.05.06.081778
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Nechaev S, 2004, P NATL ACAD SCI USA, V101, P17365, DOI 10.1073/pnas.0408028101
Pang T, 2009, P NATL ACAD SCI USA, V106, P18966, DOI 10.1073/pnas.0907941106
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Plaut RD, 2014, J BACTERIOL, V196, P1143, DOI 10.1128/JB.00739-13
Pruitt KD, 2005, NUCLEIC ACIDS RES, V33, pD501, DOI 10.1093/nar/gki025
Pruitt KD, 2007, NUCLEIC ACIDS RES, V35, pD61, DOI 10.1093/nar/gkl842
Rajaure M, 2015, P NATL ACAD SCI USA, V112, P5497, DOI 10.1073/pnas.1420588112
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
RIEDE I, 1986, MOL GEN GENET, V205, P160, DOI 10.1007/BF02428046
Rihtman B, 2019, ENV MICROBIOL REP, V11, P448, DOI 10.1111/1758-2229.12741
Roux S, 2017, PEERJ, V5, DOI 10.7717/peerj.3817
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Salisbury A, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20143391
Santos SB, 2011, J VIROL, V85, P11265, DOI 10.1128/JVI.01769-10
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sharkady SM, 2004, NUCLEIC ACIDS RES, V32, P4531, DOI 10.1093/nar/gkh795
Shen W, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163962
Shi K, 2020, COMMUN BIOL, V3, DOI 10.1038/s42003-020-01412-3
Singh P, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-325
Solonenko N., 2016, PROTOCOLSIO
Solovyev V., 2011, METAGENOMICITAPP, P61, DOI DOI 10.17504/PROTOCOLS.IO.FB4BIQW
Sullivan MB, 2010, ENVIRON MICROBIOL, V12, P3035, DOI 10.1111/j.1462-2920.2010.02280.x
Sullivan MJ, 2011, BIOINFORMATICS, V27, P1009, DOI 10.1093/bioinformatics/btr039
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Talavera G, 2007, SYST BIOL, V56, P564, DOI 10.1080/10635150701472164
Tetart F, 1996, J MOL BIOL, V258, P726, DOI 10.1006/jmbi.1996.0281
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tithi SS, 2018, PEERJ, V6, DOI 10.7717/peerj.4227
Turner D, 2021, VIRUSES-BASEL, V13, DOI 10.3390/v13030506
Twist KAF, 2011, P NATL ACAD SCI USA, V108, P19961, DOI 10.1073/pnas.1113328108
Waldbauer JR, 2019, P NATL ACAD SCI USA, V116, P15590, DOI 10.1073/pnas.1901856116
Warwick-Dugdale J, 2019, PEERJ, V7, DOI 10.7717/peerj.6800
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
Waterhouse A, 2018, NUCLEIC ACIDS RES, V46, pW296, DOI 10.1093/nar/gky427
Weinberg Z, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-3-r31
Weitz JS, 2015, ISME J, V9, P1352, DOI 10.1038/ismej.2014.220
Weitz Joshua S, 2012, F1000 Biol Rep, V4, P17
Withey JH, 2003, ANNU REV MICROBIOL, V57, P101, DOI 10.1146/annurev.micro.57.030502.090945
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Yang HQ, 2014, BIOENGINEERED, V5, P300, DOI 10.4161/bioe.32110
Yang JY, 2021, CELL SYST, V12, P771, DOI 10.1016/j.cels.2021.05.019
Yang M., 2021, FRONT MICROBIOL, V12, P657
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhang ZF, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00494-19
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 130
TC 5
Z9 5
PD APR 12
PY 2022
VL 88
IS 7
AR e00255-22
DI 10.1128/aem.00255-22
UT WOS:000782461400033
DA 2025-07-30
ER
PT J
AU Li, CY
Mausz, MA
Murphy, A
Zhang, N
Chen, XL
Wang, SY
Gao, C
Aguilo-Ferretjans, MM
Silvano, E
Lidbury, IDEA
Fu, HH
Todd, JD
Chen, Y
Zhang, YZ
AF Li, Chun-Yang
Mausz, Michaela A.
Murphy, Andrew
Zhang, Nan
Chen, Xiu-Lan
Wang, Shu-Yan
Gao, Chao
Aguilo-Ferretjans, Maria M.
Silvano, Eleonora
Lidbury, Ian D. E. A.
Fu, Hui-Hui
Todd, Jonathan D.
Chen, Yin
Zhang, Yu-Zhong
TI Ubiquitous occurrence of a dimethylsulfoniopropionate ABC transporter in
abundant marine bacteria
SO ISME JOURNAL
DT Article
AB Dimethylsulfoniopropionate (DMSP) is a ubiquitous organosulfur compound in marine environments with important functions in both microorganisms and global biogeochemical carbon and sulfur cycling. The SAR11 clade and marine Roseobacter group (MRG) represent two major groups of heterotrophic bacteria in Earth's surface oceans, which can accumulate DMSP to high millimolar intracellular concentrations. However, few studies have investigated how SAR11 and MRG bacteria import DMSP. Here, through comparative genomics analyses, genetic manipulations, and biochemical analyses, we identified an ABC (ATP-binding cassette)-type DMSP-specific transporter, DmpXWV, in Ruegeria pomeroyi DSS-3, a model strain of the MRG. Mutagenesis suggested that DmpXWV is a key transporter responsible for DMSP uptake in strain DSS-3. DmpX, the substrate binding protein of DmpXWV, had high specificity and binding affinity towards DMSP. Furthermore, the DmpX DMSP-binding mechanism was elucidated from structural analysis. DmpX proteins are prevalent in the numerous cosmopolitan marine bacteria outside the SAR11 clade and the MRG, and dmpX transcription was consistently high across Earth's entire global ocean. Therefore, DmpXWV likely enables pelagic marine bacteria to efficiently import DMSP from seawater. This study offers a new understanding of DMSP transport into marine bacteria and provides novel insights into the environmental adaption of marine bacteria.
C1 [Li, Chun-Yang; Wang, Shu-Yan; Fu, Hui-Hui; Chen, Yin; Zhang, Yu-Zhong] Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.
[Li, Chun-Yang; Wang, Shu-Yan; Fu, Hui-Hui; Chen, Yin; Zhang, Yu-Zhong] Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
[Li, Chun-Yang; Chen, Xiu-Lan; Gao, Chao; Zhang, Yu-Zhong] Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Peoples R China.
[Li, Chun-Yang; Chen, Xiu-Lan; Zhang, Yu-Zhong] Pilot Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.
[Mausz, Michaela A.; Murphy, Andrew; Aguilo-Ferretjans, Maria M.; Silvano, Eleonora; Chen, Yin] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, England.
[Zhang, Nan] Qilu Univ Technol, Sch Bioengn, Jinan, Peoples R China.
[Lidbury, Ian D. E. A.] Univ Sheffield, Plants Photosynth & Soil, Sch Biosci, Sheffield S10 2TN, England.
[Todd, Jonathan D.] Univ East Anglia, Sch Biol Sci, Norwich NR4 7TJ, England.
RP Li, CY; Chen, Y; Zhang, YZ (corresponding author), Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.; Li, CY; Chen, Y; Zhang, YZ (corresponding author), Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.; Li, CY; Zhang, YZ (corresponding author), Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Peoples R China.; Li, CY; Zhang, YZ (corresponding author), Pilot Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.; Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Coventry CV4 7AL, England.
EM Lcy@ouc.edu.cn; Y.Chen.25@warwick.ac.uk; zhangyz@sdu.edu.cn
CR Adams PD, 2010, ACTA CRYSTALLOGR D, V66, P213, DOI 10.1107/S0907444909052925
Alcolombri U, 2015, SCIENCE, V348, P1466, DOI 10.1126/science.aab1586
Beale R, 2016, ANAL CHIM ACTA, V938, P114, DOI 10.1016/j.aca.2016.07.016
Broy S, 2015, ENVIRON MICROBIOL, V17, P2362, DOI 10.1111/1462-2920.12698
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Chen CL, 2010, MOL MICROBIOL, V75, P29, DOI 10.1111/j.1365-2958.2009.06962.x
Cosquer A, 1999, APPL ENVIRON MICROB, V65, P3304
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Davidson AL, 2004, ANNU REV BIOCHEM, V73, P241, DOI 10.1146/annurev.biochem.73.011303.073626
Emsley P, 2010, ACTA CRYSTALLOGR D, V66, P486, DOI 10.1107/S0907444910007493
Galí M, 2015, REMOTE SENS ENVIRON, V171, P171, DOI 10.1016/j.rse.2015.10.012
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
Kiene RP, 1998, AQUAT MICROB ECOL, V15, P39, DOI 10.3354/ame015039
Li CY, 2022, MLIFE, V1, P114, DOI 10.1002/mlf2.12030
Li CY, 2021, ELIFE, V10, DOI 10.7554/eLife.64045
Li CY, 2017, J MOL BIOL, V429, P3850, DOI 10.1016/j.jmb.2017.10.022
Li CY, 2015, J BACTERIOL, V197, P3378, DOI 10.1128/JB.00542-15
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Liu J., 2022, MICROBIOME, V10, P1, DOI [10.1186/s40168-022-01304-0, DOI 10.1186/S40168-022-01304-0]
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Milanese A, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08844-4
Minor W, 2006, ACTA CRYSTALLOGR D, V62, P859, DOI 10.1107/S0907444906019949
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murphy ARJ, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24646-z
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Oswald C, 2008, J BIOL CHEM, V283, P32848, DOI 10.1074/jbc.M806021200
Peng M, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30491-5
Pittelkow M, 2011, J MOL BIOL, V411, P53, DOI 10.1016/j.jmb.2011.05.037
Reisch CR, 2013, MOL MICROBIOL, V89, P774, DOI 10.1111/mmi.12314
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Rice AJ, 2014, CRIT REV BIOCHEM MOL, V49, P426, DOI 10.3109/10409238.2014.953626
Schiefner A, 2004, J BIOL CHEM, V279, P5588, DOI 10.1074/jbc.M309771200
Simon M, 2017, ISME J, V11, P1483, DOI 10.1038/ismej.2016.198
Smith AF, 2019, ISME J, V13, P39, DOI 10.1038/s41396-018-0249-z
Stirrup R, 2023, ISME J, V17, P315, DOI 10.1038/s41396-022-01346-0
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun L, 2012, BIOGEOCHEMISTRY, V110, P121, DOI 10.1007/s10533-011-9666-z
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Teichmann L, 2018, APPL ENVIRON MICROB, V84, DOI [10.1128/AEM.01728-18, 10.1128/AEM01728-18]
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vallina SM, 2007, SCIENCE, V315, P506, DOI 10.1126/science.1133680
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Villar E, 2018, NUCLEIC ACIDS RES, V46, pW289, DOI 10.1093/nar/gky376
Wang P, 2015, MOL MICROBIOL, V98, P289, DOI 10.1111/mmi.13119
Williams BT, 2019, NAT MICROBIOL, V4, P1815, DOI 10.1038/s41564-019-0527-1
Winn MD, 2011, ACTA CRYSTALLOGR D, V67, P235, DOI 10.1107/S0907444910045749
Wirth JS, 2020, MBIO, V11, DOI 10.1128/mBio.00329-20
Wolters JC, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010361
Zhang XH, 2019, SCI CHINA LIFE SCI, V62, P1296, DOI 10.1007/s11427-018-9524-y
Ziegler C, 2010, MOL MICROBIOL, V78, P13, DOI 10.1111/j.1365-2958.2010.07332.x
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 56
TC 12
Z9 13
PD APR
PY 2023
VL 17
IS 4
BP 579
EP 587
DI 10.1038/s41396-023-01375-3
EA JAN 2023
UT WOS:000920980000001
DA 2025-07-30
ER
PT J
AU Mukhanov, VS
Rylkova, OA
Sakhon, EG
Butina, TV
Belykh, OI
AF Mukhanov, V. S.
Rylkova, O. A.
Sakhon, E. G.
Butina, T. V.
Belykh, O. I.
TI Transbiome invasions of femtoplankton
SO CONTEMPORARY PROBLEMS OF ECOLOGY
DT Article
AB The results of ecological and phylogenetic studies of femtoplankton, the smallest size fraction of plankton formed by viruses and ultramicrobacteria (UMB), are overviewed to shed light on the problem of transbiome invasions by microbes. Phylogenetic lineages of viruses and UMB are shown to be associated with particular biomes, thus indicating infrequent transbiome transitions in the microbial world. An alternative hypothesis of widespread cross-colonization events requires a deeper analysis of the factors that form the barrier between biomes and are responsible for the adaptation of microorganisms to different environments.
C1 [Mukhanov, V. S.; Rylkova, O. A.; Sakhon, E. G.] Russian Acad Sci, Kovalevsky Inst Marine Biol Res, Pr Nakhimova 2, Sevastopol 299011, Russia.
[Butina, T. V.; Belykh, O. I.] Russian Acad Sci, Limnol Inst, Siberian Branch, Ul Ulan Batorskaya 3, Irkutsk 664033, Russia.
RP Mukhanov, VS (corresponding author), Russian Acad Sci, Kovalevsky Inst Marine Biol Res, Pr Nakhimova 2, Sevastopol 299011, Russia.
EM v.s.mukhanov@gmail.com
CR Alenazy MS, 2014, INT J NANOMED, V9, P27, DOI 10.2147/IJN.S51538
Anderson RE, 2013, REV MINERAL GEOCHEM, V75, P649, DOI 10.2138/rmg.2013.75.20
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Breitbart M, 2004, FEMS MICROBIOL LETT, V236, P249, DOI 10.1016/j.femsle.2004.05.042
De Meester L, 2002, ACTA OECOL, V23, P121, DOI 10.1016/S1146-609X(02)01145-1
Drake JW, 1999, P NATL ACAD SCI USA, V96, P13910, DOI 10.1073/pnas.96.24.13910
Drake JW, 1998, GENETICS, V148, P1667
Duda VI, 2012, MICROBIOLOGY+, V81, P379, DOI 10.1134/S0026261712040054
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Folk RL, 1999, SEDIMENT GEOL, V126, P47, DOI 10.1016/S0037-0738(99)00031-7
Galand PE, 2008, LIMNOL OCEANOGR, V53, P813, DOI 10.4319/lo.2008.53.2.0813
Gasol JM, 1995, MAR ECOL PROG SER, V128, P91, DOI 10.3354/meps128091
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Hahn MW, 2006, CURR OPIN BIOTECH, V17, P256, DOI 10.1016/j.copbio.2006.05.006
Kajander EO, 1998, P NATL ACAD SCI USA, V95, P8274, DOI 10.1073/pnas.95.14.8274
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Kunz C, 2000, ANNU REV NUTR, V20, P699, DOI 10.1146/annurev.nutr.20.1.699
Martiny JBH, 2014, ANNU REV MAR SCI, V6, P393, DOI 10.1146/annurev-marine-010213-135108
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mukhanov V.S., 2005, MAR ECOL J SPECIAL, V1, P84
Mukhanov VS, 2007, THERMOCHIM ACTA, V458, P23, DOI 10.1016/j.tca.2007.02.024
Nagata T., 1992, Advances in Limnology, V35, P99
Oren A, 2001, HYDROBIOLOGIA, V466, P61, DOI 10.1023/A:1014557116838
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rohwer F, 2003, CELL, V113, P141, DOI 10.1016/S0092-8674(03)00276-9
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2011, LIMNOL OCEANOGR, V56, P2027, DOI 10.4319/lo.2011.56.6.2027
Sano E, 2004, APPL ENVIRON MICROB, V70, P5842, DOI 10.1128/AEM.70.10.5842-5846.2004
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Short CM, 2005, APPL ENVIRON MICROB, V71, P480, DOI 10.1128/AEM.71.1.480-486.2005
Short SM, 2008, AQUAT MICROB ECOL, V51, P13, DOI 10.3354/ame01183
Sniegowski PD, 2000, BIOESSAYS, V22, P1057, DOI 10.1002/1521-1878(200012)22:12<1057::AID-BIES3>3.0.CO;2-W
Snyder JC, 2007, P NATL ACAD SCI USA, V104, P19102, DOI 10.1073/pnas.0709445104
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Urbano P, 2007, PLOS PATHOG, V3, P567, DOI 10.1371/journal.ppat.0030055
Velimirov B., 2001, Microbes and Environments, V16, P67, DOI DOI 10.1264/JSME2.2001.67
Vermeij GJ, 2000, BIOL J LINN SOC, V70, P541
Weisse T, 2008, BIODIVERS CONSERV, V17, P243, DOI 10.1007/s10531-007-9249-4
Williams TJ., 2011, Extremophiles Handbook, P1179, DOI [10.1007/978-4-431-53898-157, DOI 10.1007/978-4-431-53898-157]
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 47
TC 2
Z9 2
PD MAY
PY 2016
VL 9
IS 3
BP 266
EP 271
DI 10.1134/S1995425516030112
UT WOS:000378901100003
DA 2025-07-30
ER
PT J
AU Geron, A
Werner, J
Lebaron, P
Wattiez, R
Matallana-Surget, S
AF Geron, Augustin
Werner, Johannes
Lebaron, Philippe
Wattiez, Ruddy
Matallana-Surget, Sabine
TI Diel Protein Regulation of Marine Picoplanktonic Communities Assessed by
Metaproteomics
SO MICROORGANISMS
DT Article
AB The diel cycle is of enormous biological importance in that it imposes temporal structure on ecosystem productivity. In the world's oceans, microorganisms form complex communities that carry out about half of photosynthesis and the bulk of life-sustaining nutrient cycling. How the functioning of microbial communities is impacted by day and night periods in surface seawater remains to be elucidated. In this study, we compared the day and night metaproteomes of the free-living and the particle-attached bacterial fractions from picoplanktonic communities sampled from the northwest Mediterranean Sea surface. Our results showed similar taxonomic distribution of free-living and particle-attached bacterial populations, with Alphaproteobacteria, Gammaproteobacteria and Cyanobacteria being the most active members. Comparison of the day and night metaproteomes revealed that free-living and particle-attached bacteria were more active during the day and the night, respectively. Interestingly, protein diel variations were observed in the photoautotroph Synechococcales and in (photo)-heterotrophic bacteria such as Flavobacteriales, Pelagibacterales and Rhodobacterales. Moreover, our data demonstrated that diel cycle impacts light-dependent processes such as photosynthesis and UV-stress response in Synechococcales and Rhodobacterales, respectively, while the protein regulation from the ubiquitous Pelagibacterales remained stable over time. This study unravels, for the first time, the diel variation in the protein expression of major free-living and particle-attached microbial players at the sea surface, totaling an analysis of eight metaproteomes.
C1 [Geron, Augustin; Wattiez, Ruddy] Univ Mons, Prote & Microbiol Dept, B-7000 Mons, Belgium.
[Geron, Augustin; Matallana-Surget, Sabine] Univ Stirling, Div Biol & Environm Sci BES, Fac Nat Sci, Stirling FK9 4LA, Scotland.
[Werner, Johannes] Eberhard Karls Univ Tubingen, High Performance & Cloud Comp Grp, Zentrum Datenverarbeitung ZDV, D-72074 Tubingen, Germany.
[Werner, Johannes] Leibniz Inst Balt Sea Res, Dept Biol Oceanog, D-18119 Rostock, Germany.
[Lebaron, Philippe] Sorbonne Univ, UPMC Univ Paris 06, Lab Biodivers & Biotechnol Microbienne LBBM Obser, USR3579, F-66651 Banyuls Sur Mer, France.
RP Matallana-Surget, S (corresponding author), Univ Stirling, Div Biol & Environm Sci BES, Fac Nat Sci, Stirling FK9 4LA, Scotland.
EM augustin.geron@umons.ac.be; johannes.werner@uni-tuebingen.de;
lebaron@obs-banyuls.fr; ruddy.wattiez@umons.ac.be;
sabine.matallanasurget@stir.ac.uk
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cock PJA, 2009, BIOINFORMATICS, V25, P1422, DOI 10.1093/bioinformatics/btp163
Cohen SE, 2015, MICROBIOL MOL BIOL R, V79, P373, DOI 10.1128/MMBR.00036-15
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Ditty J.L., 2009, BACTERIAL CIRCADIAN
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Forchhammer K, 2007, FRONT BIOSCI-LANDMRK, V12, P358, DOI 10.2741/2069
Franzosa EA, 2015, NAT REV MICROBIOL, V13, P360, DOI 10.1038/nrmicro3451
Galí M, 2013, GLOBAL BIOGEOCHEM CY, V27, P620, DOI 10.1002/gbc.20047
Gasol JM, 1998, MAR ECOL PROG SER, V164, P107, DOI 10.3354/meps164107
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Géron A, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02395
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Gilbert JA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015545
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Hedges JI, 1997, ORG GEOCHEM, V27, P319, DOI 10.1016/S0146-6380(97)00056-9
Heyer R, 2017, J BIOTECHNOL, V261, P24, DOI 10.1016/j.jbiotec.2017.06.1201
Hoch MP, 2006, LIMNOL OCEANOGR-METH, V4, P308, DOI 10.4319/lom.2006.4.308
Hollibaugh JT, 2000, AQUAT MICROB ECOL, V21, P103, DOI 10.3354/ame021103
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
John J. St., 2011, SeqPrep: Tool for stripping adaptors and/or merging paired reads with overlap into single reads
Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
Kan Jinjun, 2005, Saline Syst, V1, P7, DOI 10.1186/1746-1448-1-7
Kuipers B, 2000, MAR ECOL PROG SER, V201, P13, DOI 10.3354/meps201013
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Ma J, 2019, NUCLEIC ACIDS RES, V47, pD1211, DOI 10.1093/nar/gky869
Matallana-Surget S., 2018, Metagenomics, P327, DOI [DOI 10.1016/B978-0-08-102268-9.00017-3, 10.1016/B978-0-08-102268-9.00017-3]
Matallana-Surget S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068112
Mayot N, 2017, J GEOPHYS RES-OCEANS, V122, P9999, DOI 10.1002/2016JC012052
Mella-Flores D, 2011, BIOGEOSCIENCES, V8, P2785, DOI 10.5194/bg-8-2785-2011
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Nawrocki EP, 2009, BIOINFORMATICS, V25, P1335, DOI 10.1093/bioinformatics/btp157
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
Rodrigues JFM, 2017, BIOINFORMATICS, V33, P3808, DOI 10.1093/bioinformatics/btx517
Saito MA, 2019, J PROTEOME RES, V18, P1461, DOI 10.1021/acs.jproteome.8b00761
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Turley CM, 2000, LIMNOL OCEANOGR, V45, P419, DOI 10.4319/lo.2000.45.2.0419
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
Werner J, 2019, BIOL DIRECT, V14, DOI 10.1186/s13062-019-0253-x
Williams TJ, 2014, TRENDS MICROBIOL, V22, P248, DOI 10.1016/j.tim.2014.03.004
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wilmes P, 2004, ENVIRON MICROBIOL, V6, P911, DOI 10.1111/j.1462-2920.2004.00687.x
Winter C, 2004, AQUAT MICROB ECOL, V35, P207, DOI 10.3354/ame035207
Yu JJ, 2015, SCI REP-UK, V5, DOI 10.1038/srep08132
NR 58
TC 3
Z9 3
PD DEC
PY 2021
VL 9
IS 12
AR 2621
DI 10.3390/microorganisms9122621
UT WOS:000735903400001
DA 2025-07-30
ER
PT J
AU Kathuria, S
Martiny, AC
AF Kathuria, Satish
Martiny, Adam C.
TI Prevalence of a calcium-based alkaline phosphatase associated with the
marine cyanobacterium Prochlorococcus and other ocean bacteria
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB P>Phosphate plays a key role in regulating primary productivity in several regions of the world's oceans and here dissolved organic phosphate can be an important phosphate source. A key enzyme for utilizing dissolved organic phosphate is alkaline phosphatase and the phoA-type of this enzyme has a zinc cofactor. As the dissolved zinc concentration is low in phosphate depleted environments, this has led to the hypothesis that some phytoplankton may be zinc-P co-limited. Recently, it was shown that many marine bacteria contain an alternative form of alkaline phosphatase called phoX, but it is unclear which marine lineages carry this enzyme. Here, we describe the occurrence in low phosphate environments of phoX that is associated with uncultured Prochlorococcus and SAR11 cells. Through heterologous expression, we demonstrate that phoX encodes an active phosphatase with a calcium cofactor. The enzyme also functions with magnesium and copper, whereas cobalt, manganese, nickel and zinc inhibit enzyme activity to various degrees. We also find that uncultured SAR11 cells and cyanophages contain a different alkaline phosphatase related to a variant present in several Prochlorococcus isolates. Overall, the results suggest that many bacterial lineages including Prochlorococcus and SAR11 may not be subject to zinc-P co-limitation.
C1 [Kathuria, Satish; Martiny, Adam C.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA.
[Martiny, Adam C.] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92697 USA.
RP Martiny, AC (corresponding author), Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA.
EM amartiny@uci.edu
CR Boyer T.P., 2006, World Ocean Database 2005
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
COLEMAN JE, 1992, ANNU REV BIOPH BIOM, V21, P441, DOI 10.1146/annurev.bb.21.060192.002301
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Emanuelsson O, 2007, NAT PROTOC, V2, P953, DOI 10.1038/nprot.2007.131
Felsenstein J., 2006, PHYLIP PHYLOGENY INF
Hallmann A, 1999, J BIOL CHEM, V274, P1691, DOI 10.1074/jbc.274.3.1691
Jakuba RW, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003119
KARL DM, 2002, BIOGEOCHEMISTRY MARI, P250
Kolowith LC, 2001, LIMNOL OCEANOGR, V46, P309, DOI 10.4319/lo.2001.46.2.0309
Lomas MW, 2010, BIOGEOSCIENCES, V7, P695, DOI 10.5194/bg-7-695-2010
Luo HW, 2009, P NATL ACAD SCI USA, V106, P21219, DOI 10.1073/pnas.0907586106
Martiny A. C., 2010, HDB MOL MIC IN PRESS
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Moore JK, 2001, DEEP-SEA RES PT II, V49, P463
Moore LR, 2005, AQUAT MICROB ECOL, V39, P257, DOI 10.3354/ame039257
Paytan A, 2007, CHEM REV, V107, P563, DOI 10.1021/cr0503613
Quisel JD, 1996, PLANT PHYSIOL, V111, P839, DOI 10.1104/pp.111.3.839
ROSS MH, 1951, J BIOL CHEM, V192, P561
ROY NK, 1982, J BACTERIOL, V150, P1033, DOI 10.1128/JB.150.3.1033-1039.1982
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sañudo-Wilhelmy SA, 2001, NATURE, V411, P66, DOI 10.1038/35075041
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
Shaked Y, 2006, LIMNOL OCEANOGR, V51, P299, DOI 10.4319/lo.2006.51.1.0299
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Tetu SG, 2009, ISME J, V3, P835, DOI 10.1038/ismej.2009.31
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Torriani-Gorini A., 1987, PHOSPHATE METABOLISM, P3
Wanner B.L., 1996, Escherichia coli and Salmonella: Cell. Mol. Biol., V41, P1357, DOI DOI 10.1007/978-3-642-75969-7_16
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Young CL, 2010, AQUAT GEOCHEM, V16, P563, DOI 10.1007/s10498-009-9087-y
Zaheer R, 2009, ENVIRON MICROBIOL, V11, P1572, DOI 10.1111/j.1462-2920.2009.01885.x
NR 35
TC 99
Z9 110
PD JAN
PY 2011
VL 13
IS 1
BP 74
EP 83
DI 10.1111/j.1462-2920.2010.02310.x
UT WOS:000285876600007
DA 2025-07-30
ER
PT J
AU Laghdass, M
West, NJ
Batailler, N
Caparros, J
Catala, P
Lantoine, F
Oriol, L
Lebaron, P
Obernosterer, I
AF Laghdass, Melissa
West, Nyree J.
Batailler, Nicole
Caparros, Jocelyne
Catala, Philippe
Lantoine, Francois
Oriol, Louise
Lebaron, Philippe
Obernosterer, Ingrid
TI Impact of lower salinity waters on bacterial heterotrophic production
and community structure in the offshore NW Mediterranean Sea
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB P>We investigated the impact of water masses originating from freshwater input on bacterial heterotrophic metabolism and community structure at an offshore site in the oligotrophic NW Mediterranean Sea in 2007 and 2008. By combining 16S rRNA gene clone libraries and MICRO-CARD-FISH we determined the dominant operational taxonomic units (OTU) and their contribution to bulk abundance and activity in the presence of buoyant water masses characterized by lower salinity (LSW, < 37.9) and compared these with the winter and spring phytoplankton blooms. We demonstrate that organic matter associated with LSW markedly stimulated bacterial heterotrophic production as determined by [3H]-leucine incorporation. The OTUs SAR11-IA, SAR11-IIB, SAR86-I and SAR86-III were dominant in all clone libraries, while the Roseobacter clade and the Bacteroidetes OTU NorSea72 were more specific to the spring phytoplankton bloom. The relative contribution of these OTUs to leucine incorporation varied between 23% and 69% for SAR11, 2% and 17% for Roseobacter and was up to 4% for NorSea72. Together, they accounted for roughly 50% of bulk abundance and leucine incorporation during the four situations investigated. Our results suggest that a few cosmopolitan OTUs respond to different DOM sources in the NW Mediterranean Sea.
C1 [Laghdass, Melissa; West, Nyree J.; Batailler, Nicole; Caparros, Jocelyne; Catala, Philippe; Lantoine, Francois; Oriol, Louise; Lebaron, Philippe; Obernosterer, Ingrid] Univ Paris 06, UMR 7621, LOMIC, Observ Oceanol, F-66651 Banyuls Sur Mer, France.
[Laghdass, Melissa; West, Nyree J.; Batailler, Nicole; Caparros, Jocelyne; Catala, Philippe; Lantoine, Francois; Oriol, Louise; Lebaron, Philippe; Obernosterer, Ingrid] CNRS, UMR 7621, LOMIC, Observ Oceanol, F-66651 Banyuls Sur Mer, France.
RP Obernosterer, I (corresponding author), Univ Paris 06, UMR 7621, LOMIC, Observ Oceanol, F-66651 Banyuls Sur Mer, France.
EM ingrid.obernosterer@obs-banyuls.fr
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Amann R, 1997, FEMS MICROBIOL REV, V20, P191, DOI 10.1111/j.1574-6976.1997.tb00308.x
Amon RMW, 1998, MICROBIAL ECOL, V35, P289, DOI 10.1007/s002489900084
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
BENNER R, 1993, MAR CHEM, V41, P153, DOI 10.1016/0304-4203(93)90113-3
Benner R, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2003GL019251
Christaki U, 2009, AQUAT MICROB ECOL, V57, P263, DOI 10.3354/ame01339
Cottrell MT, 2005, APPL ENVIRON MICROB, V71, P8506, DOI 10.1128/AEM.71.12.8506-8513.2005
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Covert JS, 2001, AQUAT MICROB ECOL, V25, P127, DOI 10.3354/ame025127
Dachs J, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023799
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Diaz F, 2008, CONT SHELF RES, V28, P1511, DOI 10.1016/j.csr.2007.08.009
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Eiler A, 2003, APPL ENVIRON MICROB, V69, P3701, DOI 10.1128/AEM.69.7.3701-3709.2003
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Guerzoni S, 1999, PROG OCEANOGR, V44, P147, DOI 10.1016/S0079-6611(99)00024-5
HEDGES JI, 1992, MAR CHEM, V39, P67, DOI 10.1016/0304-4203(92)90096-S
Hewson I, 2006, AQUAT MICROB ECOL, V43, P11, DOI 10.3354/ame043011
Jochem FJ, 2003, J PLANKTON RES, V25, P1201, DOI 10.1093/plankt/fbg087
Joux F, 2005, VIE MILIEU, V55, P197
Joux F, 2009, PHOTOCHEM PHOTOBIOL, V85, P783, DOI 10.1111/j.1751-1097.2008.00474.x
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
Klepac-Ceraj V., 2006, Online J. Bioinformatics, V7, P15
Lebaron P, 1998, APPL ENVIRON MICROB, V64, P1725
Longnecker K, 2006, AQUAT MICROB ECOL, V42, P265, DOI 10.3354/ame042265
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Naudin JJ, 2001, J MARINE SYST, V28, P203, DOI 10.1016/S0924-7963(01)00004-5
NEVEUX J, 1993, DEEP-SEA RES PT I, V40, P1747, DOI 10.1016/0967-0637(93)90030-7
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Rochelle-Newall EJ, 2004, AQUAT MICROB ECOL, V37, P9, DOI 10.3354/ame037009
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Schloss PD, 2004, APPL ENVIRON MICROB, V70, P5485, DOI 10.1128/AEM.70.9.5485-5492.2004
Sempéré R, 2000, GLOBAL BIOGEOCHEM CY, V14, P669, DOI 10.1029/1999GB900069
Simpson JH, 1997, J MARINE SYST, V12, P3, DOI 10.1016/S0924-7963(96)00085-1
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Treguer P., 1975, Manuel d'analyse des Sels Nutritifs Dans l'eau de Mer, P110
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
van Hannen EJ, 1999, APPL ENVIRON MICROB, V65, P2478
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Woebken D, 2007, APPL ENVIRON MICROB, V73, P4648, DOI 10.1128/AEM.02774-06
NR 53
TC 14
Z9 15
PD DEC
PY 2010
VL 2
IS 6
BP 761
EP 769
DI 10.1111/j.1758-2229.2010.00181.x
UT WOS:000284484700009
DA 2025-07-30
ER
PT J
AU Varaljay, VA
Gifford, SM
Wilson, ST
Sharma, S
Karl, DM
Moran, MA
AF Varaljay, Vanessa A.
Gifford, Scott M.
Wilson, Samuel T.
Sharma, Shalabh
Karl, David M.
Moran, Mary Ann
TI Bacterial Dimethylsulfoniopropionate Degradation Genes in the
Oligotrophic North Pacific Subtropical Gyre
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Dimethylsulfoniopropionate (DMSP) is an organic sulfur compound that is rapidly metabolized by marine bacteria either by cleavage to dimethylsulfide (DMS) or demethylation to 3-methiolpropionate. The abundance and diversity of genes encoding bacterial DMS production (dddP) and demethylation (dmdA) were measured in the North Pacific subtropical gyre (NPSG) between May 2008 and February 2009 at Station ALOHA (22 degrees 45'N, 158 degrees 00'W) at two depths: 25 m and the deep chlorophyll maximum (DCM; similar to 100 m). The highest abundance of dmdA genes was in May 2008 at 25 m, with similar to 16.5% of cells harboring a gene in one of the eight subclades surveyed, while the highest abundance of dddP genes was in July 2008 at 25 m, with similar to 2% of cells harboring a gene. The dmdA gene pool was consistently dominated by homologs from SAR11 subclades, which was supported by findings in metagenomic data sets derived from Station ALOHA. Expression of the SAR11 dmdA genes was low, with typical transcript: gene ratios between 1:350 and 1:1,400. The abundance of DMSP genes was statistically different between 25 m and the DCM and correlated with a number of environmental variables, including primary production, photosynthetically active radiation, particulate DMSP, and DMS concentrations. At 25 m, dddP abundance was positively correlated with pigments that are diagnostic of diatoms; at the DCM, dmdA abundance was positively correlated with temperature. Based on gene abundance, we hypothesize that SAR11 bacterioplankton dominate DMSP cycling in the oligotrophic NPSG, with lesser but consistent involvement of other members of the bacterioplankton community.
C1 [Gifford, Scott M.; Sharma, Shalabh; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Varaljay, Vanessa A.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Wilson, Samuel T.; Karl, David M.] Univ Hawaii, Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
[Wilson, Samuel T.; Karl, David M.] Univ Hawaii, Dept Oceanog, Honolulu, HI 96822 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Andersen RA, 1996, DEEP-SEA RES PT II, V43, P517, DOI 10.1016/0967-0645(95)00095-X
Andreae MO, 1997, SCIENCE, V276, P1052, DOI 10.1126/science.276.5315.1052
[Anonymous], 1990, HAWAII OCEAN TIME SE
[Anonymous], AQUAT MICRO IN PRESS
[Anonymous], 2009, vegan: Community ecology package. R package version
Bell TG, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2009GB003617
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bürgmann H, 2007, ENVIRON MICROBIOL, V9, P2742, DOI 10.1111/j.1462-2920.2007.01386.x
CAMPBELL L, 1994, LIMNOL OCEANOGR, V39, P954, DOI 10.4319/lo.1994.39.4.0954
CAMPBELL L, 1993, DEEP-SEA RES PT I, V40, P2043, DOI 10.1016/0967-0637(93)90044-4
Chandler DP, 1998, APPL ENVIRON MICROB, V64, P669
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Curson ARJ, 2011, ISME J, V5, P1191, DOI 10.1038/ismej.2010.203
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
HOLMHANS.O, 1968, LIMNOL OCEANOGR, V13, P507
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Howard EC, 2011, APPL ENVIRON MICROB, V77, P524, DOI 10.1128/AEM.01457-10
Johnston AWB, 2008, J EXP BOT, V59, P1059, DOI 10.1093/jxb/erm264
Karl D.M., 2002, PHYTOPLANKTON PRODUC, P222, DOI 10.1002/9780470995204.ch9
Karl DM, 2007, NAT REV MICROBIOL, V5, P759, DOI 10.1038/nrmicro1749
Karl DM, 1999, ECOSYSTEMS, V2, P181, DOI 10.1007/s100219900068
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Ledyard KM, 1996, LIMNOL OCEANOGR, V41, P33, DOI 10.4319/lo.1996.41.1.0033
LETELIER RM, 1993, LIMNOL OCEANOGR, V38, P1420, DOI 10.4319/lo.1993.38.7.1420
Levine NM, 2012, ENVIRON MICROBIOL, V14, P1210, DOI 10.1111/j.1462-2920.2012.02700.x
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Matrai P, 2007, J MARINE SYST, V67, P83, DOI 10.1016/j.jmarsys.2006.10.001
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Monterey G., 1997, NOAA NESDIS, P5
Pichereau V, 1998, APPL ENVIRON MICROB, V64, P1420
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
R Development Core Team, 2011, R: a language and environment for statistical computing
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Scharek R, 1999, DEEP-SEA RES PT I, V46, P1051, DOI 10.1016/S0967-0637(98)00102-2
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Slezak D, 2007, AQUAT SCI, V69, P377, DOI 10.1007/s00027-007-0896-z
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1624, DOI 10.1111/j.1462-2920.2009.01919.x
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Todd JD, 2011, ENVIRON MICROBIOL, V13, P427, DOI 10.1111/j.1462-2920.2010.02348.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
TURNER SM, 1990, MAR CHEM, V29, P47, DOI 10.1016/0304-4203(90)90005-W
VAIRAVAMURTHY A, 1985, LIMNOL OCEANOGR, V30, P59, DOI 10.4319/lo.1985.30.1.0059
Vallina SM, 2007, SCIENCE, V315, P506, DOI 10.1126/science.1133680
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Vila-Costa M, 2010, ISME J, V4, P1410, DOI 10.1038/ismej.2010.62
WINN CD, 1986, LIMNOL OCEANOGR, V31, P637, DOI 10.4319/lo.1986.31.3.0637
NR 66
TC 35
Z9 38
PD APR
PY 2012
VL 78
IS 8
BP 2775
EP 2782
DI 10.1128/AEM.07559-11
UT WOS:000302147300031
DA 2025-07-30
ER
PT J
AU Alamer, A
Almutairi, AR
Halloush, S
Al-jedai, A
Alrashed, A
AlFaifi, M
Mohzari, Y
Almutairi, M
AlHassar, F
Howaidi, J
Almutairi, W
Abraham, I
Alkhatib, N
AF Alamer, Ahmad
Almutairi, Abdulaali R.
Halloush, Shiraz
Al-jedai, Ahmed
Alrashed, Ahmed
AlFaifi, Mashael
Mohzari, Yahya
Almutairi, Malak
AlHassar, Fatimah
Howaidi, Jude
Almutairi, Wedad
Abraham, Ivo
Alkhatib, Nimer
TI Cost-effectiveness of Favipiravir in moderately to severely ill COVID-19
patients in the real-world setting of Saudi arabian pandemic referral
hospitals
SO SAUDI PHARMACEUTICAL JOURNAL
DT Article
AB Purpose: We aimed to evaluate the cost effectiveness of Favipiravir treatment versus standard of care (SC) in moderately to severely ill COVID-19 patients from the Saudi healthcare payer perspective. Methods: We used the patient-level simulation method to simulate a cohort of 415 patients with mod-erate to severe COVID-19 disease who were admitted to two Saudi COVID-19 referral hospitals: 220 patients on Favipiravir and 195 patients on SC. We estimated the incremental cost-effectiveness ratio (ICER) of Favipiravir versus SC in terms of the probability to be discharged alive from hospital and the mean time in days to discharge one patient alive. The model was performed twice: first, using unweighted, and second, using weighted clinical and economic data. Weighting using the inverse weight probability method was performed to achieve balance in baseline characteristics. Results: In the unweighted model, base case (probabilistic) ICER estimates favored Favipiravir at savings of Saudi Riyal (SAR)1,611,511 (SAR1,998,948) per 1% increase in the probability of being discharged alive. As to mean time to discharging one patient alive, ICERs favored Favipiravir at savings of SAR11,498 (SAR11,125). Similar results were observed in the weighted model with savings using Favipiravir of SAR1,514,893 (SAR2,453,551) per 1% increase in the probability of being discharged alive, and savings of SAR11,989 (SAR11,277) for each day a patient is discharged alive. Conclusion: From the payer perspective, the addition of Favipiravir in moderately to severely ill COVID-19 patients was cost-savings over SC. Favipiravir was associated with a higher probability of discharging patients alive and lower daily spending on hospitalization than SC.(c) 2023 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
C1 [Alamer, Ahmad] Prince Sattam Bin Abdulaziz Univ, Coll Pharm, Dept Clin Pharm, Alkharj, Saudi Arabia.
[Alamer, Ahmad; Abraham, Ivo] Univ Arizona, Ctr Hlth Outcomes & Pharmacoecon Res, Tucson, AZ USA.
[Almutairi, Abdulaali R.] Saudi Food & Drug Author, Drug Sect, Riyadh, Saudi Arabia.
[Halloush, Shiraz] Appl Sci Private Univ, Fac Pharm, Dept Clin Pharm & Therapeut, Amman, Jordan.
[Al-jedai, Ahmed] Deputyship Therapeut Affairs, Minist Hlth, Riyadh, Saudi Arabia.
[Al-jedai, Ahmed] Al Faisal Univ, Coll Pharm, Riyadh, Saudi Arabia.
[Alrashed, Ahmed; Howaidi, Jude] King Fahad Med City, Dept Clin Pharm, Riyadh, Saudi Arabia.
[AlFaifi, Mashael; Mohzari, Yahya] King Fahad Med City, Riyadh, Saudi Arabia.
[Almutairi, Malak] Almaarefa Univ, Coll Pharm, Dept Pharm Practice, Riyadh, Saudi Arabia.
[AlHassar, Fatimah; Almutairi, Wedad] Imam Abdulrahman Bin Faisal Univ, Dept Clin Pharm, Dammam, Saudi Arabia.
[Alkhatib, Nimer] Al Zaytoonah Univ Jordan, Fac Pharm, Dept Pharm, Amman, Jordan.
[Alkhatib, Nimer] PI Pharm Intelligence, Amman, Jordan.
RP Almutairi, AR (corresponding author), Saudi Food & Drug Author, Drug Sect, Riyadh, Saudi Arabia.
EM armutairi@sfda.gov.sa
CR Alamer A, 2021, CURR MED RES OPIN, V37, P1085, DOI 10.1080/03007995.2021.1920900
[Anonymous], 2020, AD INS FAV
Brigggs A., 2006, DECISION MODELLING H
Cai QX, 2020, ENGINEERING-PRC, V6, P1192, DOI 10.1016/j.eng.2020.03.007
Chen C, 2021, FRONT PHARMACOL, V12, DOI 10.3389/fphar.2021.683296
Dawoud DM, 2020, VALUE HEALTH, V23, P1409, DOI 10.1016/j.jval.2020.07.002
Desai RJ, 2019, BMJ-BRIT MED J, V367, DOI 10.1136/bmj.l5657
Furuta Y, 2013, ANTIVIR RES, V100, P446, DOI 10.1016/j.antiviral.2013.09.015
Hailat M, 2021, MOLECULES, V26, DOI 10.3390/molecules26133789
Hassanipour S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90551-6
Huang CL, 2020, LANCET, V395, P497, DOI 10.1016/S0140-6736(20)30183-5
Igarashi A, 2020, ADV THER, V37, P4446, DOI 10.1007/s12325-020-01476-x
Khan A.A., 2020, INT J ENV
Lou Y, 2021, EUR J PHARM SCI, V157, DOI 10.1016/j.ejps.2020.105631
Ministry of Health, SAUD MOH PROT PAT SU
Murray CJL, 2022, LANCET, V399, P417, DOI 10.1016/S0140-6736(22)00100-3
National Institutes of Health, About us
Özlusen B, 2021, EUR J CLIN MICROBIOL, V40, P2575, DOI 10.1007/s10096-021-04307-1
Shrestha DB, 2020, VIROL J, V17, DOI 10.1186/s12985-020-01412-z
Vaira LA, 2020, HEAD NECK-J SCI SPEC, V42, P1560, DOI 10.1002/hed.26269
Zaim S, 2020, CURR PROB CARDIOLOGY, V45, DOI 10.1016/j.cpcardiol.2020.100618
NR 21
TC 4
Z9 5
PD APR
PY 2023
VL 31
IS 4
BP 510
EP 516
DI 10.1016/j.jsps.2023.02.003
EA MAR 2023
UT WOS:000994669900001
DA 2025-07-30
ER
PT J
AU Schattenhofer, M
Fuchs, BM
Amann, R
Zubkov, MV
Tarran, GA
Pernthaler, J
AF Schattenhofer, Martha
Fuchs, Bernhard M.
Amann, Rudolf
Zubkov, Mikhail V.
Tarran, Glen A.
Pernthaler, Jakob
TI Latitudinal distribution of prokaryotic picoplankton populations in the
Atlantic Ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB P>Members of the prokaryotic picoplankton are the main drivers of the biogeochemical cycles over large areas of the world's oceans. In order to ascertain changes in picoplankton composition in the euphotic and twilight zones at an ocean basin scale we determined the distribution of 11 marine bacterial and archaeal phyla in three different water layers along a transect across the Atlantic Ocean from South Africa (32.9 degrees S) to the UK (46.4 degrees N) during boreal spring. Depth profiles down to 500 m at 65 stations were analysed by catalysed reporter deposition fluorescence in situ hybridization (CARD-FISH) and automated epifluorescence microscopy. There was no obvious overall difference in microbial community composition between the surface water layer and the deep chlorophyll maximum (DCM) layer. There were, however, significant differences between the two photic water layers and the mesopelagic zone. SAR11 (35 +/- 9%) and Prochlorococcus (12 +/- 8%) together dominated the surface waters, whereas SAR11 and Crenarchaeota of the marine group I formed equal proportions of the picoplankton community below the DCM (both similar to 15%). However, due to their small cell sizes Crenarchaeota contributed distinctly less to total microbial biomass than SAR11 in this mesopelagic water layer. Bacteria from the uncultured Chloroflexi-related clade SAR202 occurred preferentially below the DCM (4-6%). Distinct latitudinal distribution patterns were found both in the photic zone and in the mesopelagic waters: in the photic zone, SAR11 was more abundant in the Northern Atlantic Ocean (up to 45%) than in the Southern Atlantic gyre (similar to 25%), the biomass of Prochlorococcus peaked in the tropical Atlantic Ocean, and Bacteroidetes and Gammaproteobacteria bloomed in the nutrient-rich northern temperate waters and in the Benguela upwelling. In mesopelagic waters, higher proportions of SAR202 were present in both central gyre regions, whereas Crenarchaeota were clearly more abundant in the upwelling regions and in higher latitudes. Other phylogenetic groups such as the Planctomycetes, marine group II Euryarchaeota and the uncultured clades SAR406, SAR324 and SAR86 rarely exceeded more than 5% of relative abundance.
C1 [Schattenhofer, Martha; Fuchs, Bernhard M.; Amann, Rudolf] Max Planck Inst Marine Microbiol, D-28359 Bremen, Germany.
[Zubkov, Mikhail V.] Natl Oceanog Ctr, Southampton, Hants, England.
[Tarran, Glen A.] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
[Pernthaler, Jakob] Univ Zurich, Limnol Inst, Kilchberg, Switzerland.
RP Fuchs, BM (corresponding author), Max Planck Inst Marine Microbiol, Celsiusstr 1, D-28359 Bremen, Germany.
EM bfuchs@mpi-bremen.de
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Agusti S, 1999, OCEANOL ACTA, V22, P193, DOI 10.1016/S0399-1784(99)80045-0
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Damsté JSS, 2002, APPL ENVIRON MICROB, V68, P2997, DOI 10.1128/AEM.68.6.2997-3002.2002
DeLong EF, 1999, APPL ENVIRON MICROB, V65, P5554
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giuliano L, 1999, MICROBIAL ECOL, V37, P77
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
HERBLAND A, 1979, J MAR RES, V37, P87
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kuypers MMM, 2005, P NATL ACAD SCI USA, V102, P6478, DOI 10.1073/pnas.0502088102
Li WKW, 1998, LIMNOL OCEANOGR, V43, P1746, DOI 10.4319/lo.1998.43.7.1746
Loferer-Krössbacher M, 1998, APPL ENVIRON MICROB, V64, P688
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
MACKENZIE FT, 1997, OUR CHANGING PLANET
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Mather RL, 2008, NAT GEOSCI, V1, P439, DOI 10.1038/ngeo232
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Musat N, 2008, P NATL ACAD SCI USA, V105, P17861, DOI 10.1073/pnas.0809329105
Neef A, 1998, MICROBIOL-UK, V144, P3257, DOI 10.1099/00221287-144-12-3257
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P661, DOI 10.1128/AEM.68.2.661-667.2002
Pernthaler J, 2003, APPL ENVIRON MICROB, V69, P2631, DOI 10.1128/AEM.69.5.2631-2637.2003
Poulton AJ, 2006, DEEP-SEA RES PT II, V53, P1593, DOI 10.1016/j.dsr2.2006.05.007
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rees AP, 2006, DEEP-SEA RES PT II, V53, P1649, DOI 10.1016/j.dsr2.2006.05.008
Robinson C, 2006, DEEP-SEA RES PT II, V53, P1485, DOI 10.1016/j.dsr2.2006.05.015
Schramm A, 2002, ENVIRON MICROBIOL, V4, P713, DOI 10.1046/j.1462-2920.2002.00364.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Teira E, 2006, LIMNOL OCEANOGR, V51, P60, DOI 10.4319/lo.2006.51.1.0060
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Teira E, 2006, LIMNOL OCEANOGR, V51, P2131, DOI 10.4319/lo.2006.51.5.2131
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2000, AQUAT MICROB ECOL, V21, P13, DOI 10.3354/ame021013
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 81
TC 197
Z9 216
PD AUG
PY 2009
VL 11
IS 8
BP 2078
EP 2093
DI 10.1111/j.1462-2920.2009.01929.x
UT WOS:000268655000014
DA 2025-07-30
ER
PT J
AU Straza, TRA
Ducklow, HW
Murray, AE
Kirchman, DL
AF Straza, Tiffany R. A.
Ducklow, Hugh W.
Murray, Alison E.
Kirchman, David L.
TI Abundance and single-cell activity of bacterial groups in Antarctic
coastal waters
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB We estimated the abundance and single-cell activity of bacterial groups in waters off the West Antarctic Peninsula (WAP) using a combination of microautoradiography and fluorescent in situ hybridization (FISH). The abundance of the Ant4D3 subgroup, detected by a new FISH probe, was 10% of the total community and half of the gammaproteobacterial population. The Ant4D3, Polaribacter, and SAR11 subgroups accounted for the majority of the Gammaproteobacteria, Sphingobacteria-Flavobacteria, and Alphaproteobacteria, respectively. Approximately 40% of the total microbial community actively incorporated leucine (added at 20 nmol L-1), while a smaller fraction (12-22%) used protein and an amino acid mixture (added at tracer concentrations). The fractions of SAR11, Polaribacter, and Ant4D3 that were active differed from each other and varied among substrates. SAR11 had the largest fraction of active cells incorporating leucine, while Polaribacter dominated the community using protein. The fraction of Ant4D3 using different compounds did not vary, but this group dominated the incorporation of amino acids, and was an abundant and active component of the bacterial community. Bacteria in the WAP region were as active as bacteria in the Mid-Atlantic Bight, even though total bacterial production was lower in the WAP. Though persistently cold (0-1 degrees C) and dominated by different bacterial taxa, the single-cell activity of this summertime Antarctic bacterial community was comparable to that of temperate communities.
C1 [Straza, Tiffany R. A.; Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
[Ducklow, Hugh W.] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA.
[Murray, Alison E.] Univ Nevada, Desert Res Inst, Reno, NV 89506 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2008, ECOSYSTEMS, V11, P397, DOI 10.1007/s10021-008-9129-0
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
BURKILL P., 2002, DEEP SEA RES 2, V49, P3017, DOI [10.1016/ S0967-0645(2)00069-3, DOI 10.1016/S0967-0645(02)00069-3]
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Duarte CM, 2005, LIMNOL OCEANOGR, V50, P1844, DOI 10.4319/lo.2005.50.6.1844
Ducklow H, 2001, DEEP-SEA RES PT II, V48, P4199, DOI 10.1016/S0967-0645(01)00086-8
Ducklow HW, 2006, DEEP-SEA RES PT II, V53, P834, DOI 10.1016/j.dsr2.2006.02.009
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Garneau MÉ, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004281
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
GROSSMANN S, 1994, MICROB ECOL, V28, P1, DOI 10.1007/BF00170244
Grzymski JJ, 2006, APPL ENVIRON MICROB, V72, P1532, DOI 10.1128/AEM.72.2.1532-1541.2006
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
KIRCHMAN D. L., 1998, APPL ENVIRON MICROB, V64, P2585
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirchman DL, 2009, DEEP-SEA RES PT II, V56, P1237, DOI 10.1016/j.dsr2.2008.10.018
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kirchman DL., 2000, MICROBIAL ECOLOGY OC, P261
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Pomeroy LR, 2001, AQUAT MICROB ECOL, V23, P187, DOI 10.3354/ame023187
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Smith EM, 2003, AQUAT MICROB ECOL, V31, P203, DOI 10.3354/ame031203
STRAZA T., 2010, THESIS U DELAWARE
Straza TRA, 2009, APPL ENVIRON MICROB, V75, P4028, DOI 10.1128/AEM.00183-09
Vila-Costa M, 2008, J MARINE SYST, V74, P957, DOI 10.1016/j.jmarsys.2007.10.006
NR 39
TC 43
Z9 48
PD NOV
PY 2010
VL 55
IS 6
BP 2526
EP 2536
DI 10.4319/lo.2010.55.6.2526
UT WOS:000287844700024
DA 2025-07-30
ER
PT J
AU Kobiyama, A
Rashid, J
Reza, MS
Ikeda, Y
Yamada, Y
Kudo, T
Mizusawa, N
Yanagisawa, S
Ikeda, D
Sato, S
Ogata, T
Ikeo, K
Kaga, S
Watanabe, S
Naiki, K
Kaga, Y
Segawa, S
Tada, Y
Musashi, T
Mineta, K
Gojobori, T
Watabe, S
AF Kobiyama, Atsushi
Rashid, Jonaira
Reza, Md Shaheed
Ikeda, Yuri
Yamada, Yuichiro
Kudo, Toshiaki
Mizusawa, Nanami
Yanagisawa, Saki
Ikeda, Daisuke
Sato, Shigeru
Ogata, Takehiko
Ikeo, Kazuho
Kaga, Shinnosuke
Watanabe, Shiho
Naiki, Kimiaki
Kaga, Yoshimasa
Segawa, Satoshi
Tada, Yumiko
Musashi, Tatsuya
Mineta, Katsuhiko
Gojobori, Takashi
Watabe, Shugo
TI Seasonal and annual changes in the microbial communities of Ofunato Bay,
Japan, based on metagenomics
SO SCIENTIFIC REPORTS
DT Article
AB Five years of datasets from 2015 to 2019 of whole genome shotgun sequencing for cells trapped on 0.2-mu m filters of seawater collected monthly from Ofunato Bay, an enclosed bay in Japan, were analysed, which included the 2015 data that we had reported previously. Nucleotide sequences were determined for extracted DNA from three locations for both the upper (1 m) and deeper (8 or 10 m) depths. The biotic communities analysed at the domain level comprised bacteria, eukaryotes, archaea and viruses. The relative abundance of bacteria was over 60% in most months for the five years. The relative abundance of the SAR86 cluster was highest in the bacterial group, followed by Candidatus Pelagibacter and Planktomarina. The relative abundance of Ca. Pelagibacter showed no relationship with environmental factors, and those of SAR86 and Planktomarina showed positive correlations with salinity and dissolved oxygen, respectively. The bacterial community diversity showed seasonal changes, with high diversity around September and low diversity around January for all five years. Nonmetric multidimensional scaling analysis also revealed that the bacterial communities in the bay were grouped in a season-dependent manner and linked with environmental variables such as seawater temperature, salinity and dissolved oxygen.
C1 [Kobiyama, Atsushi; Rashid, Jonaira; Reza, Md Shaheed; Ikeda, Yuri; Yamada, Yuichiro; Kudo, Toshiaki; Mizusawa, Nanami; Yanagisawa, Saki; Ikeda, Daisuke; Sato, Shigeru; Ogata, Takehiko; Ikeo, Kazuho; Watabe, Shugo] Kitasato Univ, Sch Marine Biosci, Minami Ku, Sagamihara, Kanagawa 2520373, Japan.
[Rashid, Jonaira] Bangladesh Fisheries Res Inst, Freshwater Stn, Mymensingh 2201, Bangladesh.
[Reza, Md Shaheed] Bangladesh Agr Univ, Dept Fisheries Technol, Mymensingh 2202, Bangladesh.
[Ikeo, Kazuho] Natl Inst Genet, Mishima, Shizuoka 4118540, Japan.
[Kaga, Shinnosuke; Watanabe, Shiho; Segawa, Satoshi; Tada, Yumiko] Iwate FisheriesTechnol Ctr, Kamaishi, Iwate 0260001, Japan.
[Naiki, Kimiaki; Kaga, Yoshimasa; Musashi, Tatsuya] Iwate Inland Fisheries Technol Ctr, Hachimantai, Iwate 0287302, Japan.
[Mineta, Katsuhiko; Gojobori, Takashi] King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr, Thuwal 239556900, Saudi Arabia.
RP Watabe, S (corresponding author), Kitasato Univ, Sch Marine Biosci, Minami Ku, Sagamihara, Kanagawa 2520373, Japan.; Gojobori, T (corresponding author), King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr, Thuwal 239556900, Saudi Arabia.
EM takashi.gojobori@kaust.edu.sa; swatabe@kitasato-u.ac.jp
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
[Anonymous], 1987, Journal of Oceanographical Society of Japan, DOI DOI 10.1007/BF02110194
Azam F, 2004, SCIENCE, V303, P1622, DOI 10.1126/science.1093892
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bowman JP, 1998, INT J SYST BACTERIOL, V48, P1213, DOI 10.1099/00207713-48-4-1213
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Conte L, 2019, BIOGEOSCIENCES, V16, P881, DOI 10.5194/bg-16-881-2019
Daniel R, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01185
Díez B, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0155757
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00140
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2018, ISME J, V12, P2470, DOI 10.1038/s41396-018-0158-1
Giebel HA, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz050
Giebel HA, 2013, INT J SYST EVOL MICR, V63, P4207, DOI 10.1099/ijs.0.053249-0
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gosink JJ, 1998, INT J SYST BACTERIOL, V48, P223, DOI 10.1099/00207713-48-1-223
Hamasaki K, 1999, J PLANKTON RES, V21, P1583, DOI 10.1093/plankt/21.8.1583
Handelsman J, 1998, CHEM BIOL, V5, pR245, DOI 10.1016/S1074-5521(98)90108-9
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Haroon MF, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.50
HAYAKAWA Y, 1990, NIPPON SUISAN GAKK, V56, P1717
Ibekwe AM, 2016, SCI TOTAL ENVIRON, V566, P1176, DOI 10.1016/j.scitotenv.2016.05.168
Ivanova EP, 2004, INT J SYST EVOL MICR, V54, P705, DOI 10.1099/ijs.0.02763-0
Jiao NZ, 1997, HYDROBIOLOGIA, V352, P219, DOI 10.1023/A:1003027408303
Kobiyama A, 2018, GENE, V665, P149, DOI 10.1016/j.gene.2018.04.073
Kudo T., 2019, MARINE METAGENOMICS, P183, DOI [10.1007/978-981-13-8134-8_12, DOI 10.1007/978-981-13-8134-8_12]
Kudo T, 2018, GENE, V665, P174, DOI 10.1016/j.gene.2018.04.072
LARSSON U, 1979, MAR BIOL, V52, P199, DOI 10.1007/BF00398133
Lee J, 2019, J MICROBIOL, V57, P676, DOI 10.1007/s12275-019-9001-2
Li YD, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00623
LONGHURST AR, 1989, PROG OCEANOGR, V22, P47, DOI 10.1016/0079-6611(89)90010-4
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Marshall KT, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.01155-15
Mason OU, 2009, ISME J, V3, P231, DOI 10.1038/ismej.2008.92
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Meyer-Reil LA., 1979, MICROBIAL ECOLOGY BR, P223
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Nealson KH, 1997, REV MINERAL, V35, P5
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Oksanen J., 2013, COMMUNITY ECOLOGY PA, V2, P1
OLSON RJ, 1990, LIMNOL OCEANOGR, V35, P45, DOI 10.4319/lo.1990.35.1.0045
Paerl RW, 2012, ENVIRON MICROBIOL, V14, P580, DOI 10.1111/j.1462-2920.2011.02594.x
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
PFENNIG N, 1967, ANNU REV MICROBIOL, V21, P285, DOI 10.1146/annurev.mi.21.100167.001441
Rashid J, 2018, GENE, V665, P127, DOI 10.1016/j.gene.2018.04.071
Reza MS, 2018, GENE, V665, P192, DOI 10.1016/j.gene.2018.04.075
Reza MS, 2018, GENE, V665, P185, DOI 10.1016/j.gene.2018.04.074
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI 10.1002/j.1538-7305.1948.tb01338.x
SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
Spietz RL, 2019, MICROBIOL RESOUR ANN, V8, DOI 10.1128/MRA.00097-19
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stewart Ian, 2006, Environ Health, V5, P7, DOI 10.1186/1476-069X-5-7
Suh SS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131633
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tamames J, 2019, BMC GENOMICS, V20, DOI 10.1186/s12864-019-6289-6
Team R.C., 2011, R LANG ENV STAT COMP
Teeling H, 2012, BRIEF BIOINFORM, V13, P728, DOI 10.1093/bib/bbs039
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Yamada Y, 2017, J OCEANOGR, V73, P11, DOI 10.1007/s10872-015-0336-y
NR 74
TC 5
Z9 5
PD AUG 26
PY 2021
VL 11
IS 1
AR 17277
DI 10.1038/s41598-021-96641-9
UT WOS:000691021200089
DA 2025-07-30
ER
PT J
AU Nowinski, B
Motard-Côté, J
Landa, M
Preston, CM
Scholin, CA
Birch, JM
Kiene, RP
Moran, MA
AF Nowinski, Brent
Motard-Cote, Jessie
Landa, Marine
Preston, Christina M.
Scholin, Christopher A.
Birch, James M.
Kiene, Ronald P.
Moran, Mary Ann
TI Microdiversity and temporal dynamics of marine bacterial
dimethylsulfoniopropionate genes
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Dimethylsulfoniopropionate (DMSP) is an abundant organic sulfur metabolite produced by many phytoplankton species and degraded by bacteria via two distinct pathways with climate-relevant implications. We assessed the diversity and abundance of bacteria possessing these pathways in the context of phytoplankton community composition over a 3-week time period spanning September-October, 2014 in Monterey Bay, CA. The dmdA gene from the DMSP demethylation pathway dominated the DMSP gene pool and was harboured mostly by members of the alphaproteobacterial SAR11 clade and secondarily by the Roseobacter group, particularly during the second half of the study. Novel members of the DMSP-degrading community emerged from dmdA sequences recovered from metagenome assemblies and single-cell sequencing, including largely uncharacterized gammaproteobacteria and alphaproteobacteria taxa. In the DMSP cleavage pathway, the SAR11 gene dddK was the most abundant early in the study, but was supplanted by dddP over time. SAR11 members, especially those harbouring genes for both DMSP degradation pathways, had a strong positive relationship with the abundance of dinoflagellates, and DMSP-degrading gammaproteobacteria co-occurred with haptophytes. This in situ study of the drivers of DMSP fate in a coastal ecosystem demonstrates for the first time correlations between specific groups of bacterial DMSP degraders and phytoplankton taxa.
C1 [Nowinski, Brent; Landa, Marine; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Motard-Cote, Jessie; Kiene, Ronald P.] Univ S Alabama, Dept Marine Sci, Mobile, AL 36688 USA.
[Motard-Cote, Jessie; Kiene, Ronald P.] Dauphin Isl Sea Lab, Dauphin Isl, AL 36528 USA.
[Preston, Christina M.; Scholin, Christopher A.; Birch, James M.] Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
[Landa, Marine] Univ Calif Santa Cruz, Ocean Sci Dept, Santa Cruz, CA 95064 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
[Anonymous], 1989, Biol. Ocean., DOI DOI 10.1080/01965581.1988.10749540
Archer SD, 2001, AQUAT MICROB ECOL, V24, P225, DOI 10.3354/ame024225
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Billerbeck S, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.63, 10.1038/NMICROBIOL.2016.63]
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Callbeck CM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04041-x
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Chen Y, 2016, VET MICROBIOL, V192, P1, DOI 10.1016/j.vetmic.2016.05.014
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Crump BC, 2003, APPL ENVIRON MICROB, V69, P2253, DOI 10.1128/AEM.69.4.2253-2268.2003
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Darriba D, 2011, BIOINFORMATICS, V27, P1164, DOI 10.1093/bioinformatics/btr088
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Keller M.D., 1989, AM CHEM SOC, V81, P168
Kiene RP, 1995, MAR ECOL PROG SER, V128, P121, DOI 10.3354/meps128121
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2006, LIMNOL OCEANOGR-METH, V4, P80, DOI 10.4319/lom.2006.4.80
Landa M, 2017, ISME J, V11, P2677, DOI 10.1038/ismej.2017.117
Li CX, 2016, ENVIRON CHEM, V13, P266, DOI 10.1071/EN15052
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Marshall KT, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.01155-15
Matsen FA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056859
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Moreau H, 2012, GENOME BIOL, V13, DOI 10.1186/gb-2012-13-8-r74
Motard-Côté J, 2015, AQUAT MICROB ECOL, V76, P133, DOI 10.3354/ame01772
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Peng MJ, 2012, CAN J MICROBIOL, V58, P523, DOI [10.1139/W2012-019, 10.1139/w2012-019]
Pennington JT, 2000, DEEP-SEA RES PT II, V47, P947, DOI 10.1016/S0967-0645(99)00132-0
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Quinn PK, 2011, NATURE, V480, P51, DOI 10.1038/nature10580
Reshef DN, 2011, SCIENCE, V334, P1518, DOI 10.1126/science.1205438
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Sievers Fabian, 2014, Curr Protoc Bioinformatics, V48, DOI 10.1002/0471250953.bi0313s48
Silvestro D, 2012, ORG DIVERS EVOL, V12, P335, DOI 10.1007/s13127-011-0056-0
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
Strom S, 2003, LIMNOL OCEANOGR, V48, P230, DOI 10.4319/lo.2003.48.1.0230
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Todd JD, 2011, ENVIRON MICROBIOL, V13, P427, DOI 10.1111/j.1462-2920.2010.02348.x
Varaljay VA, 2015, ISME J, V9, P1677, DOI 10.1038/ismej.2015.23
Varaljay VA, 2012, APPL ENVIRON MICROB, V78, P2775, DOI 10.1128/AEM.07559-11
WHITE RH, 1982, J MAR RES, V40, P529
Worden AZ, 2009, SCIENCE, V324, P268, DOI 10.1126/science.1167222
Yu FB, 2017, ELIFE, V6, DOI 10.7554/eLife.26580
Zhao YG, 2012, BIOINFORMATICS, V28, P125, DOI 10.1093/bioinformatics/btr595
NR 54
TC 26
Z9 30
PD MAY
PY 2019
VL 21
IS 5
BP 1687
EP 1701
DI 10.1111/1462-2920.14560
UT WOS:000471715900013
DA 2025-07-30
ER
PT J
AU Williams, KP
Sobral, BW
Dickerman, AW
AF Williams, Kelly P.
Sobral, Bruno W.
Dickerman, Allan W.
TI A robust species tree for the Alphaproteobacteria
SO JOURNAL OF BACTERIOLOGY
DT Article
AB The branching order and coherence of the alphaproteobacterial orders have not been well established, and not all studies have agreed that mitochondria arose from within the Rickettsiales. A species tree for 72 alphaproteobacteria was produced from a concatenation of alignments for 104 well-behaved protein families. Coherence was upheld for four of the five orders with current standing that were represented here by more than one species. However, the family Hyphomonadaceae was split from the other Rhodobacterales, forming an expanded group with Caulobacterales that also included Parvularcula. The three earliest-branching alphaproteobacterial orders were the Rickettsiales, followed by the Rhodospirillales and then the Sphingomonaddles. The principal uncertainty is whether the expanded Caulobacterales group is more closely associated with the Rhodobacterales or the Rhizobiales. The mitochondrial branch was placed within the Rickettsiales as a sister to the combined Anaplasmataceae and Rickettsiaceae, all subtended by the Pelagibacter branch. Pelagibacter genes will serve as useful additions to the bacterial outgroup in future evolutionary studies of mitochondrial genes, including those that have transferred to the eukaryotic nucleus.
C1 Inst Poliomyelitis & Viral Encephalitis, Virginia Bioinformat Inst, Blacksburg, VA 24061 USA.
RP Williams, KP (corresponding author), Inst Poliomyelitis & Viral Encephalitis, Virginia Bioinformat Inst, Blacksburg, VA 24061 USA.
EM kellwill@vt.edu
CR Badger JH, 2005, INT J SYST EVOL MICR, V55, P1021, DOI 10.1099/ijs.0.63510-0
Badger JH, 2006, J BACTERIOL, V188, P6841, DOI 10.1128/JB.00111-06
Bapteste E, 2005, BMC EVOL BIOL, V5, DOI 10.1186/1471-2148-5-33
Bateman A, 1999, NUCLEIC ACIDS RES, V27, P260, DOI 10.1093/nar/27.1.260
Batut J, 2004, NAT REV MICROBIOL, V2, P933, DOI 10.1038/nrmicro1044
Beiko RG, 2006, BMC EVOL BIOL, V6, DOI 10.1186/1471-2148-6-15
Beiko RG, 2005, P NATL ACAD SCI USA, V102, P14332, DOI 10.1073/pnas.0504068102
Blanvillain S, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000224
Boussau B, 2004, P NATL ACAD SCI USA, V101, P9722, DOI 10.1073/pnas.0400975101
Cannone JJ, 2002, BMC BIOINFORMATICS, V3, DOI 10.1186/1471-2105-3-2
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Cho JC, 2003, INT J SYST EVOL MICR, V53, P1031, DOI 10.1099/ijs.0.02566-0
Ciccarelli FD, 2006, SCIENCE, V311, P1283, DOI 10.1126/science.1123061
Cole JR, 2007, NUCLEIC ACIDS RES, V35, pD169, DOI 10.1093/nar/gkl889
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Emelyanov VV, 2001, BIOSCIENCE REP, V21, P1, DOI 10.1023/A:1010409415723
Esser C, 2004, MOL BIOL EVOL, V21, P1643, DOI 10.1093/molbev/msh160
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Fitzpatrick DA, 2006, MOL BIOL EVOL, V23, P74, DOI 10.1093/molbev/msj009
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gray MW, 2004, ANNU REV GENET, V38, P477, DOI 10.1146/annurev.genet.37.110801.142526
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Gupta RS, 2005, CRIT REV MICROBIOL, V31, P101, DOI 10.1080/10408410590922393
Lee KB, 2005, INT J SYST EVOL MICR, V55, P1907, DOI 10.1099/ijs.0.63663-0
Novichkov PS, 2004, J BACTERIOL, V186, P6575, DOI 10.1128/JB.186.19.6575-6585.2004
Phillips MJ, 2004, MOL BIOL EVOL, V21, P1455, DOI 10.1093/molbev/msh137
Rokas A, 2003, NATURE, V425, P798, DOI 10.1038/nature02053
Ronquist F, 2003, BIOINFORMATICS, V19, P1572, DOI 10.1093/bioinformatics/btg180
Tian YY, 2007, NUCLEIC ACIDS RES, V35, pD328, DOI 10.1093/nar/gkl905
van Berkum P, 2003, J BACTERIOL, V185, P2988, DOI 10.1128/JB.185.10.2988-2998.2003
Viollier PH, 2004, CURR OPIN MICROBIOL, V7, P572, DOI 10.1016/j.mib.2004.10.005
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
NR 32
TC 203
Z9 242
PD JUL
PY 2007
VL 189
IS 13
BP 4578
EP 4586
DI 10.1128/JB.00269-07
UT WOS:000247612100004
DA 2025-07-30
ER
PT J
AU Braakman, R
Satinsky, B
O'Keefe, TJ
Longnecker, K
Hogle, SL
Becker, JW
Li, RC
Dooley, K
Arellano, A
Soule, MCK
Kujawinski, EB
Chisholm, SW
AF Braakman, Rogier
Satinsky, Brandon
O'Keefe, Tyler J.
Longnecker, Krista
Hogle, Shane L.
Becker, Jamie W.
Li, Robert C.
Dooley, Keven
Arellano, Aldo
Soule, Melissa C. Kido
Kujawinski, Elizabeth B.
Chisholm, Sallie W.
TI Global niche partitioning of purine and pyrimidine cross-feeding among
ocean microbes
SO SCIENCE ADVANCES
DT Article
AB Cross-feeding involves microbes consuming exudates of other surrounding microbes, mediating elemental cycling. Characterizing the diversity of cross-feeding pathways in ocean microbes illuminates evolutionary forces driving self-organization of ocean ecosystems. Here, we uncover a purine and pyrimidine cross-feeding network in globally abundant groups. The cyanobacterium Prochlorococcus exudes both compound classes, which metabolic reconstructions suggest follows synchronous daily genome replication. Co-occurring heterotrophs differentiate into purine- and pyrimidine-using generalists or specialists that use compounds for different purposes. The most abundant heterotroph, SAR11, is a specialist that uses purines as sources of energy, carbon, and/or nitrogen, with subgroups differentiating along ocean-scale gradients in the supply of energy and nitrogen, in turn producing putative cryptic nitrogen cycles that link many microbes. Last, in an SAR11 subgroup that dominates where Prochlorococcus is abundant, adenine additions to cultures inhibit DNA synthesis, poising cells for replication. We argue that this subgroup uses inferred daily adenine pulses from Prochlorococcus to synchronize to the daily photosynthate supply from surrounding phytoplankton.
C1 [Braakman, Rogier; Li, Robert C.] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA.
[Satinsky, Brandon; O'Keefe, Tyler J.; Hogle, Shane L.; Becker, Jamie W.; Dooley, Keven; Arellano, Aldo; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, Cambridge, MA USA.
[Longnecker, Krista; Soule, Melissa C. Kido; Kujawinski, Elizabeth B.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA USA.
[Satinsky, Brandon] Dyno Therapeut, Watertown, MA USA.
[O'Keefe, Tyler J.] Univ North Carolina, Inst Marine Sci, Morehead City, NC USA.
[Hogle, Shane L.] Univ Turku, Dept Biol, Turku, Finland.
[Becker, Jamie W.] Alvernia Univ, Dept Sci, Reading, PA USA.
[Dooley, Keven] Natl Renewable Energy Lab, Renewable Resources & Enabling Sci Ctr, Golden, CO USA.
[Arellano, Aldo] Univ Wisconsin, Dept Bacteriol, Madison, WI USA.
RP Braakman, R (corresponding author), MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA.
EM braakman@mit.edu
CR Acker M, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2113386119
ANTIA NJ, 1980, PHYCOLOGIA, V19, P103, DOI 10.2216/i0031-8884-19-2-103.1
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Bateman A, 2023, NUCLEIC ACIDS RES, V51, pD523, DOI 10.1093/nar/gkac1052
Bayer B, 2019, ENVIRON MICROBIOL, V21, P4062, DOI 10.1111/1462-2920.14755
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Berthelot H, 2019, ISME J, V13, P651, DOI 10.1038/s41396-018-0285-8
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
BJURSELL G, 1973, J BIOL CHEM, V248, P3904
Boyd JA, 2018, NUCLEIC ACIDS RES, V46, DOI 10.1093/nar/gky174
Braakman R, 2017, P NATL ACAD SCI USA, V114, pE3091, DOI 10.1073/pnas.1619573114
Braakman R, 2013, PHYS BIOL, V10, DOI 10.1088/1478-3975/10/1/011001
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Cacciapuoti G, 2003, EXTREMOPHILES, V7, P159, DOI 10.1007/s00792-002-0307-2
Cader MZ, 2020, CELL, V180, P278, DOI [10.1016/j.cell.2019.12.017, 10.1016/j.cell.2020.02.005]
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cermak N, 2017, ISME J, V11, P825, DOI 10.1038/ismej.2016.161
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Chuang YC, 2024, ISME J, V18, DOI 10.1093/ismejo/wrae034
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Doolittle WF, 2017, BIOL PHILOS, V32, P5, DOI 10.1007/s10539-016-9542-2
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Durham BP, 2015, P NATL ACAD SCI USA, V112, P453, DOI 10.1073/pnas.1413137112
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Falkowski P.G., 1998, NEW PHYTOL, V140, P597
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Fiore CL, 2015, ENVIRON MICROBIOL, V17, P3949, DOI 10.1111/1462-2920.12899
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fritts RK, 2021, MICROBIOL MOL BIOL R, V85, DOI 10.1128/MMBR.00135-20
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giri S, 2021, CURR BIOL, V31, P5547, DOI 10.1016/j.cub.2021.10.019
Gonze D, 2002, P NATL ACAD SCI USA, V99, P673, DOI 10.1073/pnas.022628299
GOODWIN BRIAN C., 1965, ADVANCE ENZYME REGULAT, V3, P425, DOI 10.1016/0065-2571(65)90067-1
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hogle SL, 2022, ISME J, V16, P1636, DOI 10.1038/s41396-022-01215-w
Hogle Shane L, 2019, Zenodo
Johnson WM, 2017, LIMNOL OCEANOGR-METH, V15, P417, DOI 10.1002/lom3.10181
Jordan A, 1998, ANNU REV BIOCHEM, V67, P71, DOI 10.1146/annurev.biochem.67.1.71
Kanehisa M, 2017, NUCLEIC ACIDS RES, V45, pD353, DOI 10.1093/nar/gkw1092
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kitzinger K, 2019, NAT MICROBIOL, V4, P234, DOI 10.1038/s41564-018-0316-2
Kujawinski E. B., 2023, mSystems, V8, pe01261
Larkin AA, 2023, ISME J, V17, P185, DOI 10.1038/s41396-022-01332-6
Letscher RT, 2023, GLOBAL BIOGEOCHEM CY, V37, DOI 10.1029/2023GB007756
MACARTHUR RH, 1958, ECOLOGY, V39, P599, DOI 10.2307/1931600
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
MITCHISO.JM, 1971, EXP CELL RES, V67, P368, DOI 10.1016/0014-4827(71)90421-6
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Moran MA, 2022, NAT MICROBIOL, V7, P508, DOI 10.1038/s41564-022-01090-3
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Muratore D, 2022, NAT ECOL EVOL, V6, P218, DOI 10.1038/s41559-021-01606-w
Noell SE, 2021, MBIO, V12, DOI 10.1128/mBio.01091-21
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Novák B, 2008, NAT REV MOL CELL BIO, V9, P981, DOI 10.1038/nrm2530
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
Potter SC, 2018, NUCLEIC ACIDS RES, V46, pW200, DOI 10.1093/nar/gky448
Proudfoot M, 2004, J BIOL CHEM, V279, P54687, DOI 10.1074/jbc.M411023200
Rees DC, 2009, NAT REV MOL CELL BIO, V10, P218, DOI 10.1038/nrm2646
Rijkenberg MJA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101323
Salt LA, 2015, BIOGEOSCIENCES, V12, P1387, DOI 10.5194/bg-12-1387-2015
Segev E, 2016, ELIFE, V5, DOI 10.7554/eLife.17473
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Ting CS, 2007, J BACTERIOL, V189, P4485, DOI 10.1128/JB.01948-06
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Ustick LJ, 2021, SCIENCE, V372, P287, DOI 10.1126/science.abe6301
Vodnala M, 2016, J BIOL CHEM, V291, P11717, DOI 10.1074/jbc.M116.715615
VOGELS GD, 1976, BACTERIOL REV, V40, P403, DOI 10.1128/MMBR.40.2.403-468.1976
Ward BA, 2012, LIMNOL OCEANOGR, V57, P1877, DOI 10.4319/lo.2012.57.6.1877
Watanabe S, 2014, PLANT CELL ENVIRON, V37, P1022, DOI 10.1111/pce.12218
WEBER JF, 1981, COMP BIOCHEM PHYS B, V70, P799, DOI 10.1016/0305-0491(81)90021-3
Werner AK, 2011, TRENDS PLANT SCI, V16, P381, DOI 10.1016/j.tplants.2011.03.012
Weyand S, 2008, SCIENCE, V322, P709, DOI 10.1126/science.1160058
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Wyatt NJ, 2014, GLOBAL BIOGEOCHEM CY, V28, P44, DOI 10.1002/2013GB004637
XEROS N, 1962, NATURE, V194, P682, DOI 10.1038/194682a0
Zinser ER, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005135
NR 85
TC 1
Z9 1
PD JAN 3
PY 2025
VL 11
IS 1
AR eadp1949
DI 10.1126/sciadv.adp1949
UT WOS:001389489200020
DA 2025-07-30
ER
PT J
AU Kudo, T
Kobiyama, A
Rashid, J
Reza, MS
Yamada, Y
Ikeda, Y
Ikeda, D
Mizusawa, N
Ikeoa, K
Sato, S
Ogata, T
Jimbo, M
Kaga, S
Watanabe, S
Naiki, K
Kaga, Y
Segawa, S
Mineta, K
Bajic, V
Gojobori, T
Watabe, S
AF Kudo, Toshiaki
Kobiyama, Atsushi
Rashid, Jonaira
Reza, Md Shaheed
Yamada, Yuichiro
Ikeda, Yuri
Ikeda, Daisuke
Mizusawa, Nanami
Ikeoa, Kazuho
Sato, Shigeru
Ogata, Takehiko
Jimbo, Mitsuru
Kaga, Shinnosuke
Watanabe, Shiho
Naiki, Kimiaki
Kaga, Yoshimasa
Segawa, Satoshi
Mineta, Katsuhiko
Bajic, Vladimir
Gojobori, Takashi
Watabe, Shugo
TI Seasonal changes in the abundance of bacterial genes related to
dimethylsulfoniopropionate catabolism in seawater from Ofunato Bay
revealed by metagenomic analysis
SO GENE
DT Article
AB Ofunato Bay is located in the northeastern Pacific Ocean area of Japan, and it has the highest biodiversity of marine organisms in the world, primarily due to tidal influences from the cold Oyashio and warm Kuroshio Currents. Our previous results from performing shotgun metagenomics indicated that Candidatus Pelagibacter ubique and Planktomarina temperata were the dominant bacteria (Reza et al., 2018a, 2018b). These bacteria are reportedly able to catabolize dimethylsulfoniopropionate (DMSP) produced from phytoplankton into dimethyl sulfide (DMS) or methanethiol (MeSH). This study was focused on seasonal changes in the abundances of bacterial genes (dddP, dmdA) related to DMSP catabolism in the seawater of Ofunato Bay by BLAST + analysis using shotgun metagenomic datasets. We found seasonal changes among the Candidatus Pelagibacter ubique strains, including those of the HTCC1062 type and the Red Sea type. A good correlation was observed between the chlorophyll a concentrations and the abundances of the catabolic genes, suggesting that the bacteria directly interact with phytoplankton in the marine material cycle system and play important roles in producing DMS and MeSH from DMSP as signaling molecules for the possible formation of the scent of the tidewater or as fish attractants.
C1 [Kudo, Toshiaki; Kobiyama, Atsushi; Rashid, Jonaira; Reza, Md Shaheed; Yamada, Yuichiro; Ikeda, Yuri; Ikeda, Daisuke; Mizusawa, Nanami; Ikeoa, Kazuho; Sato, Shigeru; Ogata, Takehiko; Jimbo, Mitsuru; Watabe, Shugo] Kitasato Univ, Sch Marine Biosci, Minami Ku, Sagamihara, Kanagawa 2520373, Japan.
[Kaga, Shinnosuke; Watanabe, Shiho; Naiki, Kimiaki; Kaga, Yoshimasa; Segawa, Satoshi] Iwate Fisheries Technol Ctr, Kamaishi, Iwate 0260001, Japan.
[Mineta, Katsuhiko; Bajic, Vladimir; Gojobori, Takashi] King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr, Thuwal 239556900, Saudi Arabia.
[Kudo, Toshiaki; Ikeda, Yuri] Kitasato Univ, Sch Marine Biosci, Sanriku Coastal Educ & Res Ctr, Ofunato, Iwate 0220101, Japan.
[Rashid, Jonaira; Reza, Md Shaheed] Bangladesh Agr Univ, Dept Fisheries Technol, Mymensingh 2202, Bangladesh.
[Ikeoa, Kazuho] Natl Inst Genet, Mishima, Shizuoka 4118540, Japan.
[Kaga, Shinnosuke] Iwate Prefectural Govt, Ofunato Fisheries Promot Ctr, Ofunato, Iwate 0228502, Japan.
RP Gojobori, T (corresponding author), King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr, Biol & Environm Sci & Engn, Thuwal 239556900, Saudi Arabia.; Watabe, S (corresponding author), Kitasato Univ, Sch Marine Biosci, Dept Marine Biochem, Minami Ku, Sagamihara, Kanagawa 2520373, Japan.
EM takashi.gojobori@kaust.edu.sa; swatabe@kitasato-u.ac.jp
CR [Anonymous], IM DAT SEEN SPAC JAP
[Anonymous], 1987, Journal of Oceanographical Society of Japan, DOI DOI 10.1007/BF02110194
[Anonymous], ARCHITECTURE BUILDIN
Bentley R, 2004, CHEMOSPHERE, V55, P291, DOI 10.1016/j.chemosphere.2003.12.017
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Ishizaka Joji, 1998, Journal of Oceanography, V54, P553, DOI 10.1007/BF02742457
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Nevitt GA, 2011, INTEGR COMP BIOL, V51, P819, DOI 10.1093/icb/icr093
OGATA T, 1982, B JPN SOC SCI FISH, V48, P563
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Raitsos DE, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064909
Reza M.S, 2018, GENE, DOI [10.1016/j.gene.2018.04.075, DOI 10.1016/LGENE.2018.04.075]
Reza MS, 2018, GENE, V665, P185, DOI 10.1016/j.gene.2018.04.074
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SAKAMOTO S, 1992, MAR ECOL PROG SER, V89, P229, DOI 10.3354/meps089229
Seymour JR, 2010, SCIENCE, V329, P342, DOI 10.1126/science.1188418
Shah N, 2011, BIOCOMPUT-PAC SYM, P165
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Yamada Y, 2017, J OCEANOGR, V73, P11, DOI 10.1007/s10872-015-0336-y
NR 25
TC 13
Z9 13
PD JUL 30
PY 2018
VL 665
BP 174
EP 184
DI 10.1016/j.gene.2018.04.072
UT WOS:000435621900022
DA 2025-07-30
ER
PT J
AU Tada, Y
Shiozaki, T
Ogawa, H
Suzuki, K
AF Tada, Yuya
Shiozaki, Takuhei
Ogawa, Hiroshi
Suzuki, Koji
TI Basin-scale distribution of prokaryotic phylotypes in the epipelagic
layer of the Central South Pacific Ocean during austral summer
SO JOURNAL OF OCEANOGRAPHY
DT Article
AB In the present study, we used catalyzed reporter deposition-fluorescence in situ hybridization to quantify the abundance of five bacterial (Alphaproteobacteria, SAR11, Gammaproteobacteria, SAR86, and Bacteroidetes) and two archaeal (Crenarchaeota and Euryarchaeota) phylotypes in the epipelagic layer (0-200 m) of the Central South Pacific Ocean along 170A degrees W from 0A degrees to 40A degrees S. We found that the distribution patterns of these phylotypes differed from each other. All phylotypes except Gammaproteobacteria were particularly abundant at the surface water of the equatorial region, whereas Gammaproteobacteria was relatively abundant in the area from the southern part of the South Pacific Ocean. SAR11, affiliated with Alphaproteobacteria was the dominant phylotype at all depths, throughout the study area. The abundance of SAR11 significantly increased with chlorophyll a concentration, suggesting that phytoplankton could affect their distribution pattern. There was a positive correlation between Bacteroidetes abundance and water temperature, suggesting that the temperature gradient could be a critical factor determining their distribution in the South Pacific Ocean. Crenarchaeota and Euryarchaeota were more abundant at the equatorial region than in other study areas. Euryarchaeota abundance significantly decreased with depth, and increased with chlorophyll a concentration. This suggests that there was ecological interaction between Euryarchaeota and phytoplankton in the equatorial surface. Our data indicate that distinct hydrographic properties such as seawater temperature, salinity, and the concentrations of chlorophyll a and nutrients can principally control the basin-scale distribution of different prokaryotic phylotypes in the epipelagic layer of the Central South Pacific Ocean.
C1 [Tada, Yuya; Suzuki, Koji] Hokkaido Univ, Fac Environm Earth Sci, Kita Ku, North 10 West 5, Sapporo, Hokkaido 0600810, Japan.
[Shiozaki, Takuhei; Ogawa, Hiroshi] Univ Tokyo, Atmosphere & Ocean Res Inst, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778564, Japan.
[Shiozaki, Takuhei] Japan Agcy Marine Earth Sci & Technol, Res & Dev Ctr Global Change, 2-15 Natsushima Cho, Yokosuka, Kanagawa 2330061, Japan.
RP Tada, Y (corresponding author), Hokkaido Univ, Fac Environm Earth Sci, Kita Ku, North 10 West 5, Sapporo, Hokkaido 0600810, Japan.
EM yuyatada@ees.hokudai.ac.jp
CR AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
[Anonymous], 1997, THESIS
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Beman JM, 2008, ISME J, V2, P429, DOI 10.1038/ismej.2007.118
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Díez-Vives C, 2014, SYST APPL MICROBIOL, V37, P68, DOI 10.1016/j.syapm.2013.08.006
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Fazi S, 2008, ENVIRON MICROBIOL, V10, P2760, DOI 10.1111/j.1462-2920.2008.01695.x
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Galand PE, 2008, J MARINE SYST, V74, P774, DOI 10.1016/j.jmarsys.2007.12.001
GODFREY JS, 1980, J PHYS OCEANOGR, V10, P430, DOI 10.1175/1520-0485(1980)010<0430:TSOTEA>2.0.CO;2
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
González JM, 2011, APPL ENVIRON MICROB, V77, P8676, DOI 10.1128/AEM.06152-11
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
HAMA T, 1983, MAR BIOL, V73, P31, DOI 10.1007/BF00396282
Hasumi H, 2014, ECOL MODEL, V288, P9, DOI 10.1016/j.ecolmodel.2014.05.009
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Moore JK, 2001, DEEP-SEA RES PT II, V49, P463
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Ogawa H, 1999, DEEP-SEA RES PT I, V46, P1809, DOI 10.1016/S0967-0637(99)00027-8
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Oke PR, 2001, CONT SHELF RES, V21, P587, DOI 10.1016/S0278-4343(00)00127-8
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P661, DOI 10.1128/AEM.68.2.661-667.2002
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
R Development Core Team, 2011, R: a language and environment for statistical computing
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Shiozaki T, 2009, MAR ECOL PROG SER, V377, P19, DOI 10.3354/meps07837
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-117
SUZUKI R, 1990, Journal of the Oceanographical Society of Japan, V46, P190, DOI 10.1007/BF02125580
Tada Y, 2012, J OCEANOGR, V68, P509, DOI 10.1007/s10872-012-0114-z
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2006, LIMNOL OCEANOGR, V51, P60, DOI 10.4319/lo.2006.51.1.0060
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Teira E, 2006, LIMNOL OCEANOGR, V51, P2131, DOI 10.4319/lo.2006.51.5.2131
Tilburg CE, 2001, J PHYS OCEANOGR, V31, P2917, DOI 10.1175/1520-0485(2001)031<2917:TDOTEA>2.0.CO;2
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Venables WN., 2002, Modern Applied Statistics with S, V4, DOI DOI 10.1007/978-0-387-21706-2
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Yokokawa T, 2013, LIMNOL OCEANOGR, V58, P61, DOI 10.4319/lo.2013.58.1.0061
Yoshizawa S, 2012, ENVIRON MICROBIOL, V14, P1240, DOI 10.1111/j.1462-2920.2012.02702.x
NR 76
TC 1
Z9 1
PD APR
PY 2017
VL 73
IS 2
BP 145
EP 158
DI 10.1007/s10872-016-0391-z
UT WOS:000395621000001
DA 2025-07-30
ER
PT J
AU Ruiz-González, C
Galí, M
Gasol, JM
Simó, R
AF Ruiz-Gonzalez, Clara
Gali, Marti
Gasol, Josep M.
Simo, Rafel
TI Sunlight effects on the DMSP-sulfur and leucine assimilation activities
of polar heterotrophic bacterioplankton
SO BIOGEOCHEMISTRY
DT Article; Proceedings Paper
CT 5th International Symposium on Biological and Environmental Chemistry of
DMS(P) and Related Compounds
CY OCT 19-22, 2010
CL Natl Inst Oceanography (NIO), INDIA
HO Natl Inst Oceanography (NIO)
AB The influence of solar ultraviolet radiation and photosynthetically active radiation (PAR) on summertime marine bacterial uptake and assimilation of sulfur from radiolabeled dimethlysulfoniopropionate (S-35-DMSP) was studied at four Arctic and two Antarctic stations. Incubations with H-3-leucine were also conducted for comparative purposes as a measurement of bacterial activity. Arctic waters were characterized by large numbers of colonial Phaeocystis pouchetii and higher DMSP concentrations than in the two diatom-dominated Antarctic samples. Exposure to full sunlight radiation (280-700 nm), and to a lesser extent to PAR + UVA (320-700 nm), generally decreased the bacterial assimilation of H-3-leucine with respect to darkness, and caused variable effects on S-35-DMSP assimilation. By using a single-cell approach involving microautoradiography we found high percentages of sulfur assimilating cells within the bacterial groups Gammaproteobacteria, Bacteroidetes, SAR11 and Roseobacter despite the varying DMSP concentrations between Arctic and Antarctic samples. The dominant SAR11 clade contributed 50-70% of the cells assimilating both substrates in the Arctic stations, whereas either Gammaproteobacteria or SAR11 were the largest contributors to H-3-leucine uptake in samples from the two Antarctic stations. Only one station was analyzed for single-cell S-35-DMSP assimilation in Antarctica, and Gammaproteobacteria were major contributors to its uptake, providing the first evidence for Antarctic bacteria actively taking up S-35-DMSP. PAR + UVA repeatedly increased the number of SAR11 cells assimilating H-3-leucine. This pattern also occurred with other S-35-DMSP assimilating groups, though not so consistently. Our results support a widespread capability of polar bacteria to assimilate DMSP-sulfur during the season of maximum DMSP concentrations, and show for the first time that all major polar taxa can be highly active at this assimilation under the appropriate circumstances. Our findings further confirm the role of sunlight as a modulator of heterotrophic carbon and sulfur fluxes in the surface ocean.
C1 [Ruiz-Gonzalez, Clara; Gali, Marti; Gasol, Josep M.; Simo, Rafel] CSIC, Inst Ciencies Mar, E-08003 Barcelona, Catalunya, Spain.
RP Ruiz-González, C (corresponding author), CSIC, Inst Ciencies Mar, Pg Maritim Barceloneta 37-49, E-08003 Barcelona, Catalunya, Spain.
EM clara.ruiz.glez@gmail.com
CR Aas P, 1996, AQUAT MICROB ECOL, V11, P229, DOI 10.3354/ame011229
Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Archer SD, 2010, LIMNOL OCEANOGR, V55, P1579, DOI 10.4319/lo.2010.55.4.1579
Arrieta JM, 2000, APPL ENVIRON MICROB, V66, P1468, DOI 10.1128/AEM.66.4.1468-1473.2000
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Brussaard CPD, 2005, HARMFUL ALGAE, V4, P875, DOI 10.1016/j.hal.2004.12.012
Buma AGJ, 2001, J PHOTOCH PHOTOBIO B, V62, P9, DOI 10.1016/S1011-1344(01)00156-7
Burkill PH, 2002, DEEP-SEA RES PT II, V49, P2863, DOI 10.1016/S0967-0645(02)00061-9
Church MJ, 2004, APPL ENVIRON MICROB, V70, P4079, DOI 10.1128/AEM.70.7.4079-4087.2004
Convey P, 2007, BIOL POLAR REGIONS, P42
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
Curran MAJ, 2000, J GEOPHYS RES-ATMOS, V105, P20451, DOI 10.1029/2000JD900176
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Davidson AT, 2000, AQUAT MICROB ECOL, V21, P257, DOI 10.3354/ame021257
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
FOGG GE, 1977, PHILOS T ROY SOC B, V279, P27, DOI 10.1098/rstb.1977.0069
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Hernandez EA, 2006, ANTARCT SCI, V18, P205, DOI 10.1017/S0954102006000241
HERNDL GJ, 1993, NATURE, V361, P717, DOI 10.1038/361717a0
Herndl GJ, 1997, PLANT ECOL, V128, P42
JONES AE, 1995, NATURE, V376, P409, DOI 10.1038/376409a0
Kaiser E, 1997, APPL ENVIRON MICROB, V63, P4026, DOI 10.1128/AEM.63.10.4026-4031.1997
Karsten U, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P143
Kiene RP, 2006, LIMNOL OCEANOGR-METH, V4, P80, DOI 10.4319/lom.2006.4.80
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirst GO, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P121
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Lasternas S, 2010, POLAR BIOL, V33, P1709, DOI 10.1007/s00300-010-0877-x
LISS PS, 1994, J MARINE SYST, V5, P41, DOI 10.1016/0924-7963(94)90015-9
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Matrai PA, 1997, J GEOPHYS RES-OCEANS, V102, P22965, DOI 10.1029/96JC03870
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Muller R, 1997, NATURE, V389, P709, DOI 10.1038/39564
Murray AE, 1999, AQUAT MICROB ECOL, V18, P263, DOI 10.3354/ame018263
Neale PJ, 1998, LIMNOL OCEANOGR, V43, P433, DOI 10.4319/lo.1998.43.3.0433
Pakulski JD, 2008, PHOTOCHEM PHOTOBIOL, V84, P215, DOI 10.1111/j.1751-1097.2007.00222.x
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Rich J, 1997, DEEP-SEA RES PT II, V44, P1645, DOI 10.1016/S0967-0645(97)00058-1
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rignot E, 2008, NAT GEOSCI, V1, P106, DOI 10.1038/ngeo102
Rothrock DA, 1999, GEOPHYS RES LETT, V26, P3469, DOI 10.1029/1999GL010863
Ruiz-Gonzalez C, ENV MICROBIOL UNPUB
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Sakka A, 1997, MAR ECOL PROG SER, V149, P227, DOI 10.3354/meps149227
Sakshaug E, 2004, ORGANIC CARBON CYCLE IN THE ARCTIC OCEAN, P57
Saló V, 2009, ENVIRON MICROBIOL, V11, P3063, DOI 10.1111/j.1462-2920.2009.02011.x
Saltzman E., 1989, ACS SYM SER, P167
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Simo R, 1996, ANAL CHEM, V68, P1493, DOI 10.1021/ac9510907
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Simó R, 2009, AQUAT MICROB ECOL, V57, P43, DOI 10.3354/ame01325
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Slezak D, 2003, MAR ECOL PROG SER, V246, P61, DOI 10.3354/meps246061
Slezak D, 2001, AQUAT MICROB ECOL, V25, P87, DOI 10.3354/ame025087
Slezak D, 2007, AQUAT SCI, V69, P377, DOI 10.1007/s00027-007-0896-z
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Stefels J, 2007, BIOGEOCHEMISTRY, V83, P245, DOI 10.1007/s10533-007-9091-5
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Vila-Costa M, 2008, J MARINE SYST, V74, P957, DOI 10.1016/j.jmarsys.2007.10.006
Wickham S, 1998, AQUAT MICROB ECOL, V16, P163, DOI 10.3354/ame016163
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 86
TC 16
Z9 17
PD SEP
PY 2012
VL 110
IS 1-3
SI SI
BP 57
EP 74
DI 10.1007/s10533-012-9699-y
UT WOS:000309227400006
DA 2025-07-30
ER
PT J
AU Munson-McGee, JH
Lindsay, MR
Sintes, E
Brown, JM
D'Angelo, T
Brown, J
Lubelczyk, LC
Tomko, P
Emerson, D
Orcutt, BN
Poulton, NJ
Herndl, GJ
Stepanauskas, R
AF Munson-McGee, Jacob H.
Lindsay, Melody R.
Sintes, Eva
Brown, Julia M.
D'Angelo, Timothy
Brown, Joe
Lubelczyk, Laura C.
Tomko, Paxton
Emerson, David
Orcutt, Beth N.
Poulton, Nicole J.
Herndl, Gerhard J.
Stepanauskas, Ramunas
TI Decoupling of respiration rates and abundance in marine prokaryoplankton
SO NATURE
DT Article
AB The ocean-atmosphere exchange of CO2 largely depends on the balance between marine microbial photosynthesis and respiration. Despite vast taxonomic and metabolic diversity among marine planktonic bacteria and archaea (prokaryoplankton)(1-3), their respiration usually is measured in bulk and treated as a 'black box' in global biogeochemical models(4); this limits the mechanistic understanding of the global carbon cycle. Here, using a technology for integrated phenotype analyses and genomic sequencing of individual microbial cells, we show that cell-specific respiration rates differ by more than 1,000x among prokaryoplankton genera. The majority of respiration was found to be performed by minority members of prokaryoplankton (including the Roseobacter cluster), whereas cells of the most prevalent lineages (including Pelagibacter and SAR86) had extremely low respiration rates. The decoupling of respiration rates from abundance among lineages, elevated counts of proteorhodopsin transcripts in Pelagibacter and SAR86 cells and elevated respiration of SAR86 at night indicate that proteorhodopsin-based phototrophy(3,5-7) probably constitutes an important source of energy to prokaryoplankton and may increase growth efficiency. These findings suggest that the dependence of prokaryoplankton on respiration and remineralization of phytoplankton-derived organic carbon into CO2 for its energy demands and growth may be lower than commonly assumed and variable among lineages.
C1 [Munson-McGee, Jacob H.; Lindsay, Melody R.; Brown, Julia M.; D'Angelo, Timothy; Brown, Joe; Lubelczyk, Laura C.; Emerson, David; Orcutt, Beth N.; Poulton, Nicole J.; Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
[Sintes, Eva; Herndl, Gerhard J.] Univ Vienna, Dept Funct & Evolutionary Ecol, Vienna, Austria.
[Sintes, Eva] Ctr Oceanog Baleares, Inst Espanol Oceanog, CSIC, Palma De Mallorca, Spain.
[Tomko, Paxton] Purdue Univ, W Lafayette, IN USA.
[Herndl, Gerhard J.] Univ Utrecht, Royal Netherlands Inst Sea Res NIOZ, Dept Marine Microbiol & Biogeochem, Den Burg, Netherlands.
RP Stepanauskas, R (corresponding author), Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
EM rstepanauskas@bigelow.org
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
BENSON BB, 1984, LIMNOL OCEANOGR, V29, P620, DOI 10.4319/lo.1984.29.3.0620
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Carlson CA, 2007, OCEANOGRAPHY, V20, P89, DOI 10.5670/oceanog.2007.52
Cavicchioli R, 2019, NAT REV MICROBIOL, V17, P569, DOI 10.1038/s41579-019-0222-5
Chen MT, 2017, ELIFE, V6, DOI 10.7554/eLife.22140
Dekas AE, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02682
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
DeLorenzo S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046695
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
El-Swais H, 2015, ENVIRON MICROBIOL, V17, P3642, DOI 10.1111/1462-2920.12629
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Gao HC, 2006, INT J SYST EVOL MICR, V56, P1911, DOI 10.1099/ijs.0.64354-0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw8855
Hahn MW, 2014, INT J SYST EVOL MICR, V64, P3254, DOI 10.1099/ijs.0.065292-0
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Kalyuzhnaya MG, 2008, ISME J, V2, P696, DOI 10.1038/ismej.2008.32
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Kumar S, 2018, MOL BIOL EVOL, V35, P1, DOI 10.1093/molbev/msx313
Labasque T, 2004, MAR CHEM, V88, P53, DOI 10.1016/j.marchem.2004.03.004
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Langdon C., 2019, ICPO PUBLICATION SER, V134
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lanzén A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0049334
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Lidstrom ME, 2010, NAT CHEM BIOL, V6, P705, DOI [10.1038/nchembio.436, 10.1038/NCHEMBIO.436]
Locey KJ, 2016, P NATL ACAD SCI USA, V113, P5970, DOI 10.1073/pnas.1521291113
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Magen C, 2014, LIMNOL OCEANOGR-METH, V12, P637, DOI 10.4319/lom.2014.12.637
Männistö MK, 2013, FEMS MICROBIOL ECOL, V84, P47, DOI 10.1111/1574-6941.12035
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
Martins BMC, 2015, CURR OPIN MICROBIOL, V24, P104, DOI 10.1016/j.mib.2015.01.003
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
MEYER O, 1978, ARCH MICROBIOL, V118, P35, DOI 10.1007/BF00406071
Moran MA, 2013, ISME J, V7, P237, DOI 10.1038/ismej.2012.94
Mortimer C.H., 1981, SIL Communications, V22, P1, DOI DOI 10.1080/05384680.1981.11904000
Muratore D, 2022, NAT ECOL EVOL, V6, P218, DOI 10.1038/s41559-021-01606-w
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Nurk Sergey, 2013, Research in Computational Molecular Biology. 17th Annual International Conference (RECOMB 2013). Proceedings, P158, DOI 10.1007/978-3-642-37195-0_13
OBrien T. D., 2012, ICES PHYTOPLANKTON M, V313
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Packard TT, 2004, J MAR RES, V62, P93, DOI 10.1357/00222400460744636
PALLERONI NJ, 1970, J GEN MICROBIOL, V60, P215, DOI 10.1099/00221287-60-2-215
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Parks DH, 2020, NAT BIOTECHNOL, V38, P1079, DOI 10.1038/s41587-020-0501-8
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Poux S, 2017, BIOINFORMATICS, V33, P3454, DOI 10.1093/bioinformatics/btx439
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Ren J, 2020, QUANT BIOL, V8, P64, DOI 10.1007/s40484-019-0187-4
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Satinsky BM, 2013, METHOD ENZYMOL, V531, P237, DOI 10.1016/B978-0-12-407863-5.00012-5
Schapira M, 2009, J MAR BIOL ASSOC UK, V89, P1161, DOI 10.1017/S0025315409000617
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Shapiro H. M., 2003, Practical flow cytometry
Sherr BF, 1999, AQUAT MICROB ECOL, V18, P117, DOI 10.3354/ame018117
SHIBA T, 1991, SYST APPL MICROBIOL, V14, P140, DOI 10.1016/S0723-2020(11)80292-4
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
Stepanauskas R, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00128-z
Strickland J. D., 1972, PRACTICAL HDB SEAWAT, V157
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Vandecandelaere I, 2008, INT J SYST EVOL MICR, V58, P2726, DOI 10.1099/ijs.0.65843-0
WEISS RF, 1970, DEEP-SEA RES, V17, P721, DOI 10.1016/0011-7471(70)90037-9
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
Wikner J, 2013, LIMNOL OCEANOGR-METH, V11, P1, DOI 10.4319/lom.2013.11.1
Woyke T, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0026161
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Zorz J, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00281
NR 79
TC 39
Z9 39
PD DEC 22
PY 2022
VL 612
IS 7941
BP 764
EP +
DI 10.1038/s41586-022-05505-3
EA DEC 2022
UT WOS:000895213100006
DA 2025-07-30
ER
PT J
AU Cui, YS
Suzuki, S
Omori, Y
Wong, SK
Ijichi, M
Kaneko, R
Kameyama, S
Tanimoto, H
Hamasaki, K
AF Cui, Yingshun
Suzuki, Shotaro
Omori, Yuko
Wong, Shu-Kuan
Ijichi, Minoru
Kaneko, Ryo
Kameyama, Sohiko
Tanimoto, Hiroshi
Hamasaki, Koji
TI Abundance and Distribution of Dimethylsulfoniopropionate Degradation
Genes and the Corresponding Bacterial Community Structure at Dimethyl
Sulfide Hot Spots in the Tropical and Subtropical Pacific Ocean
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Dimethylsulfoniopropionate (DMSP) is mainly produced by marine phytoplankton but is released into the microbial food web and degraded by marine bacteria to dimethyl sulfide (DMS) and other products. To reveal the abundance and distribution of bacterial DMSP degradation genes and the corresponding bacterial communities in relation to DMS and DMSP concentrations in seawater, we collected surface seawater samples from DMS hot spot sites during a cruise across the Pacific Ocean. We analyzed the genes encoding DMSP lyase (dddP) and DMSP demethylase (dmdA), which are responsible for the transformation of DMSP to DMS and DMSP assimilation, respectively. The averaged abundance (+/- standard deviation) of these DMSP degradation genes relative to that of the 16S rRNA genes was 33% +/- 12%. The abundances of these genes showed large spatial variations. dddP genes showed more variation in abundances than dmdA genes. Multidimensional analysis based on the abundances of DMSP degradation genes and environmental factors revealed that the distribution pattern of these genes was influenced by chlorophyll a concentrations and temperatures. dddP genes, dmdA subclade C/2 genes, and dmdA subclade D genes exhibited significant correlations with the marine Roseobacter clade, SAR11 subgroup Ib, and SAR11 subgroup Ia, respectively. SAR11 subgroups Ia and Ib, which possessed dmdA genes, were suggested to be the main potential DMSP consumers. The Roseobacter clade members possessing dddP genes in oligotrophic subtropical regions were possible DMS producers. These results suggest that DMSP degradation genes are abundant and widely distributed in the surface seawater and that the marine bacteria possessing these genes influence the degradation of DMSP and regulate the emissions of DMS in subtropical gyres of the Pacific Ocean.
C1 [Cui, Yingshun; Suzuki, Shotaro; Wong, Shu-Kuan; Ijichi, Minoru; Kaneko, Ryo; Hamasaki, Koji] Univ Tokyo, Atmosphere & Ocean Res Inst, Div Marine Life Sci, Marine Microbiol,Dept Marine Ecosyst Dynam, Kashiwa, Chiba, Japan.
[Omori, Yuko; Tanimoto, Hiroshi] Natl Inst Environm Studies, Ctr Global Environm Res, Ibaraki, Japan.
[Kameyama, Sohiko] Hokkaido Univ, Fac Environm Earth Sci, Sapporo, Hokkaido, Japan.
RP Cui, YS (corresponding author), Univ Tokyo, Atmosphere & Ocean Res Inst, Div Marine Life Sci, Marine Microbiol,Dept Marine Ecosyst Dynam, Kashiwa, Chiba, Japan.
EM yscui415@aori.u-tokyo.ac.jp
CR ALLDREDGE AL, 1985, DEEP-SEA RES, V32, P1445, DOI 10.1016/0198-0149(85)90096-2
ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
[Anonymous], DESIGN PACKAGE R PAC
[Anonymous], BIODIVERSITYR PACKAG
AZAM F, 1977, LIMNOL OCEANOGR, V22, P492, DOI 10.4319/lo.1977.22.3.0492
Bell THA, 2010, DUSTY, DEEK, AND MR. DO-RIGHT: HIGH SCHOOL FOOTBALL IN ILLINOIS, P1
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Carl P., 2008, PERFORMANCEANALYTICS
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Curson ARJ, 2011, ISME J, V5, P1191, DOI 10.1038/ismej.2010.203
Dixon P, 2003, J VEG SCI, V14, P927, DOI 10.1658/1100-9233(2003)014[0927:VAPORF]2.0.CO;2
DUCKLOW HW, 1983, J PLANKTON RES, V5, P333, DOI 10.1093/plankt/5.3.333
HODSON RE, 1981, MAR BIOL, V64, P43, DOI 10.1007/BF00394079
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Howard EC, 2011, APPL ENVIRON MICROB, V77, P524, DOI 10.1128/AEM.01457-10
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Kameyama S, 2009, ANAL CHEM, V81, P9021, DOI 10.1021/ac901630h
Kasamatsu N, 2004, CAN J FISH AQUAT SCI, V61, P736, DOI 10.1139/F04-072
KELLER MD, 1989, ACS SYM SER, V393, P167
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Kim M, 2011, J MICROBIOL METH, V84, P81, DOI 10.1016/j.mimet.2010.10.020
Lana A, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003850
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Levine NM, 2012, ENVIRON MICROBIOL, V14, P1210, DOI 10.1111/j.1462-2920.2012.02700.x
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Oksanen J., 2007, Community Ecology Package, V10, P719
Peng MJ, 2012, CAN J MICROBIOL, V58, P523, DOI [10.1139/W2012-019, 10.1139/w2012-019]
Penven P, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2005JC002945
Schloss PD, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027310
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SIMON M, 1985, APPL ENVIRON MICROB, V49, P1254, DOI 10.1128/AEM.49.5.1254-1259.1985
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Stefels J, 2007, BIOGEOCHEMISTRY, V83, P245, DOI 10.1007/s10533-007-9091-5
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1624, DOI 10.1111/j.1462-2920.2009.01919.x
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Todd JD, 2011, ENVIRON MICROBIOL, V13, P427, DOI 10.1111/j.1462-2920.2010.02348.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vallina SM, 2007, SCIENCE, V315, P506, DOI 10.1126/science.1133680
Varaljay VA, 2012, APPL ENVIRON MICROB, V78, P2775, DOI 10.1128/AEM.07559-11
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Yoch DC, 2002, APPL ENVIRON MICROB, V68, P5804, DOI 10.1128/AEM.68.12.5804-5815.2002
NR 51
TC 35
Z9 41
PD JUN
PY 2015
VL 81
IS 12
BP 4184
EP 4194
DI 10.1128/AEM.03873-14
UT WOS:000354864000028
DA 2025-07-30
ER
PT J
AU Williams, TJ
Wilkins, D
Long, E
Evans, F
DeMaere, MZ
Raftery, MJ
Cavicchioli, R
AF Williams, Timothy J.
Wilkins, David
Long, Emilie
Evans, Flavia
DeMaere, Mathew Z.
Raftery, Mark J.
Cavicchioli, Ricardo
TI The role of planktonic Flavobacteria in processing algal organic
matter in coastal East Antarctica revealed using metagenomics and
metaproteomics
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Heterotrophic marine bacteria play key roles in remineralizing organic matter generated from primary production. However, far more is known about which groups are dominant than about the cellular processes they perform in order to become dominant. In the Southern Ocean, eukaryotic phytoplankton are the dominant primary producers. In this study we used metagenomics and metaproteomics to determine how the dominant bacterial and archaeal plankton processed bloom material. We examined the microbial community composition in 14 metagenomes and found that the relative abundance of Flavobacteria (dominated by Polaribacter) was positively correlated with chlorophyll a fluorescence, and the relative abundance of SAR11 was inversely correlated with both fluorescence and Flavobacteria abundance. By performing metaproteomics on the sample with the highest relative abundance of Flavobacteria (Newcomb Bay, East Antarctica) we defined how Flavobacteria attach to and degrade diverse complex organic material, how they make labile compounds available to Alphaproteobacteria (especially SAR11) and Gammaproteobacteria, and how these heterotrophic Proteobacteria target and utilize these nutrients. The presence of methylotrophic proteins for archaea and bacteria also indicated the importance of metabolic specialists. Overall, the study provides functional data for the microbial mechanisms of nutrient cycling at the surface of the coastal Southern Ocean.
C1 [Williams, Timothy J.; Wilkins, David; Long, Emilie; Evans, Flavia; DeMaere, Mathew Z.; Cavicchioli, Ricardo] Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
[Raftery, Mark J.] Univ New S Wales, Bioanalyt Mass Spectrometry Facil, Sydney, NSW 2052, Australia.
[Long, Emilie] Univ Paris 06, UFR 927, F-75532 Paris, France.
RP Cavicchioli, R (corresponding author), Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
EM r.cavicchioli@unsw.edu.au
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V53, P379, DOI 10.1016/j.femsec.2005.01.008
Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
ALLDREDGE AL, 1979, LIMNOL OCEANOGR, V24, P855
Angly FE, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000593
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Berg IA, 2007, SCIENCE, V318, P1782, DOI 10.1126/science.1149976
Bowman JP, 2003, APPL ENVIRON MICROB, V69, P2463, DOI 10.1128/AEM.69.5.2463-2483.2003
Bowman JP, 1997, APPL ENVIRON MICROB, V63, P3068, DOI 10.1128/AEM.63.8.3068-3078.1997
Boyd PW, 2010, NAT GEOSCI, V3, P675, DOI [10.1038/NGEO964, 10.1038/ngeo964]
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brown MV, 2001, FEMS MICROBIOL ECOL, V35, P267, DOI 10.1016/S0168-6496(01)00100-3
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Chen Y, 2011, P NATL ACAD SCI USA, V108, P17791, DOI 10.1073/pnas.1112928108
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
CYNAR FJ, 1991, CURR MICROBIOL, V23, P89, DOI 10.1007/BF02092256
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Fandino LB, 2005, AQUAT MICROB ECOL, V40, P251, DOI 10.3354/ame040251
Forward JA, 1997, J BACTERIOL, V179, P5482, DOI 10.1128/jb.179.17.5482-5493.1997
FRANZMANN PD, 1992, SYST APPL MICROBIOL, V15, P573, DOI 10.1016/S0723-2020(11)80117-7
Galand PE, 2008, J MARINE SYST, V74, P774, DOI 10.1016/j.jmarsys.2007.12.001
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert HJ, 2008, STRUCTURE, V16, P987, DOI 10.1016/j.str.2008.06.002
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Grzymski JJ, 2006, APPL ENVIRON MICROB, V72, P1532, DOI 10.1128/AEM.72.2.1532-1541.2006
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Horner-Devine MC, 2003, ECOL LETT, V6, P613
Jamieson RE, 2012, FEMS MICROBIOL ECOL, V80, P452, DOI 10.1111/j.1574-6941.2012.01313.x
Kalanetra KM, 2009, ENVIRON MICROBIOL, V11, P2434, DOI 10.1111/j.1462-2920.2009.01974.x
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kuwahara H, 2011, BMC EVOL BIOL, V11, DOI 10.1186/1471-2148-11-285
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
McBride MJ, 2001, ANNU REV MICROBIOL, V55, P49, DOI 10.1146/annurev.micro.55.1.49
Merbt SN, 2012, FEMS MICROBIOL LETT, V327, P41, DOI 10.1111/j.1574-6968.2011.02457.x
Moore JK, 2000, J GEOPHYS RES-OCEANS, V105, P28709, DOI 10.1029/1999JC000043
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Musat N, 2008, P NATL ACAD SCI USA, V105, P17861, DOI 10.1073/pnas.0809329105
Newton ILG, 2007, SCIENCE, V315, P998, DOI 10.1126/science.1138438
Ng C, 2010, ISME J, V4, P1002, DOI 10.1038/ismej.2010.28
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 1999, AQUAT MICROB ECOL, V17, P13, DOI 10.3354/ame017013
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Reeves AR, 1997, J BACTERIOL, V179, P643, DOI 10.1128/jb.179.3.643-649.1997
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Suzuki M, 2001, INT J SYST EVOL MICR, V51, P1639, DOI 10.1099/00207713-51-5-1639
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Takahashi N, 2000, J BACTERIOL, V182, P4704, DOI 10.1128/JB.182.17.4704-4710.2000
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thomas T, 1998, FEBS LETT, V439, P281, DOI 10.1016/S0014-5793(98)01375-1
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams KP, 2010, J BACTERIOL, V192, P2305, DOI 10.1128/JB.01480-09
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Winnen B, 2003, RES MICROBIOL, V154, P457, DOI 10.1016/S0923-2508(03)00126-8
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Wright SW, 2010, DEEP-SEA RES PT II, V57, P758, DOI 10.1016/j.dsr2.2009.06.015
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
Ye YZ, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000465
NR 83
TC 241
Z9 276
PD MAY
PY 2013
VL 15
IS 5
SI SI
BP 1302
EP 1317
DI 10.1111/1462-2920.12017
UT WOS:000318041800006
DA 2025-07-30
ER
PT J
AU Ghai, R
Mizuno, CM
Picazo, A
Camacho, A
Rodriguez-Valera, F
AF Ghai, Rohit
Mizuno, Carolina Megumi
Picazo, Antonio
Camacho, Antonio
Rodriguez-Valera, Francisco
TI Metagenomics uncovers a new group of low GC and ultra-small marine
Actinobacteria
SO SCIENTIFIC REPORTS
DT Article
AB We describe a deep-branching lineage of marine Actinobacteria with very low GC content (33%) and the smallest free living cells described yet (cell volume ca. 0.013 mu m(3)), even smaller than the cosmopolitan marine photoheterotroph, 'Candidatus Pelagibacter ubique'. These microbes are highly related to 16S rRNA sequences retrieved by PCR from the Pacific and Atlantic oceans 20 years ago. Metagenomic fosmids allowed a virtual genome reconstruction that also indicated very small genomes below 1 Mb. A new kind of rhodopsin was detected indicating a photoheterotrophic lifestyle. They are estimated to be, similar to 4% of the total numbers of cells found at the site studied (the Mediterranean deep chlorophyll maximum) and similar numbers were estimated in all tropical and temperate photic zone metagenomes available. Their geographic distribution mirrors that of picocyanobacteria and there appears to be an association between these microbial groups. A new sub-class, 'Candidatus Actinomarinidae' is proposed to designate these microbes.
C1 [Ghai, Rohit; Mizuno, Carolina Megumi; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante 03550, Spain.
[Picazo, Antonio; Camacho, Antonio] Univ Valencia, Cavanilles Inst Biodivers & Evolutionary Biol, E-46100 Burjassot, Spain.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante 03550, Spain.
EM frvalera@umh.es
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], 1993, PHYLIP: phylogenetic inference package
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Berger SA, 2011, BIOINFORMATICS, V27, P2068, DOI 10.1093/bioinformatics/btr320
Bouvier T, 2001, CYTOMETRY, V44, P188, DOI 10.1002/1097-0320(20010701)44:3<188::AID-CYTO1111>3.0.CO;2-C
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eloe EA, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020388
Estrada M, 2004, FEMS MICROBIOL ECOL, V49, P281, DOI 10.1016/j.femsec.2004.04.002
Fagerbakke KM, 1996, AQUAT MICROB ECOL, V10, P15, DOI 10.3354/ame010015
Felip M, 2007, APPL ENVIRON MICROB, V73, P4508, DOI 10.1128/AEM.00733-07
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Garcia S. L., 2012, ISME J
Ghai R, 2012, SCI REP-UK, V2, DOI 10.1038/srep00490
Ghai R, 2012, ENV MICROBIOL REP, V4, P29, DOI 10.1111/j.1758-2229.2011.00274.x
Ghai R, 2011, SCI REP-UK, V1, DOI 10.1038/srep00135
Ghai R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023785
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P112, DOI 10.1099/ijs.0.001743-0
Hahn MW, 2003, APPL ENVIRON MICROB, V69, P1442, DOI 10.1128/AEM.69.3.1442-1451.2003
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kang I, 2012, J BACTERIOL, V194, P3550, DOI 10.1128/JB.00586-12
La Ferla R, 2005, MAR ECOL-EVOL PERSP, V26, P82, DOI 10.1111/j.1439-0485.2005.00049.x
Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
Loferer-Krössbacher M, 1998, APPL ENVIRON MICROB, V64, P688
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
MacIsaac E.A., 1993, Handbook of Methods in Aquatic Microbial Ecology, P187
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Marchler-Bauer Aron, 2011, Nucleic Acids Res, V39, pD225, DOI 10.1093/nar/gkq1189
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nawrocki E. P., 2009, THESIS, P256, DOI [DOI 10.7936/K78050MP, 10.7936/K78050MP]
Newton RJ, 2007, APPL ENVIRON MICROB, V73, P7169, DOI 10.1128/AEM.00794-07
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Nicastro D., 2006, MAM, V12, P180, DOI DOI 10.1017/S1431927606067456
NORLAND S, 1987, MICROB ECOL, V13, P95, DOI 10.1007/BF02011246
Norland S, 1993, HDB METHODS AQUATIC, P303, DOI DOI 10.1201/9780203752746-36
Poindexter J, 1981, OLIGOTROPHY FAST FAM
Porter K., 1980, LIMNOLOGY OCEANOGRAP, V25
Posch T, 2001, AQUAT MICROB ECOL, V25, P55, DOI 10.3354/ame025055
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rappé MS, 1999, SYST APPL MICROBIOL, V22, P106, DOI 10.1016/S0723-2020(99)80033-2
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Riedel T, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057487
Riemann L, 2002, APPL ENVIRON MICROB, V68, P5554, DOI 10.1128/AEM.68.11.5554-5562.2002
Rozen S, 2000, Methods Mol Biol, V132, P365
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Sharma AK, 2008, ENVIRON MICROBIOL, V10, P1039, DOI 10.1111/j.1462-2920.2007.01525.x
Söding J, 2005, NUCLEIC ACIDS RES, V33, pW244, DOI 10.1093/nar/gki408
Stamatakis A, 2005, BIOINFORMATICS, V21, P456, DOI 10.1093/bioinformatics/bti191
Stamatakis A., COMP SYST APPL AICCS, P1
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Theil-Nielsen J, 1998, ARCH HYDROBIOL, V141, P195
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Wilkins D., 2012, FEMS MICROBIOL REV
Wingard LL, 2002, APPL ENVIRON MICROB, V68, P1772, DOI 10.1128/AEM.68.4.1772-1777.2002
Zerbino DR, 2008, GENOME RES, V18, P821, DOI 10.1101/gr.074492.107
NR 75
TC 148
Z9 162
PD AUG 20
PY 2013
VL 3
AR 2471
DI 10.1038/srep02471
UT WOS:000323243400002
DA 2025-07-30
ER
PT J
AU Sargeant, SL
Murrell, JC
Nightingale, PD
Dixon, JL
AF Sargeant, Stephanie L.
Murrell, J. Colin
Nightingale, Philip D.
Dixon, Joanna L.
TI Basin-scale variability of microbial methanol uptake in the Atlantic
Ocean
SO BIOGEOSCIENCES
DT Article
AB Methanol is a climate-active gas and the most abundant oxygenated volatile organic compound (OVOC) in the atmosphere and seawater. Marine methylotrophs are aerobic bacteria that utilise methanol from seawater as a source of carbon (assimilation) and/or energy (dissimilation). A few spatially limited studies have previously reported methanol oxidation rates in seawater; however, the basin-wide ubiquity of marine microbial methanol utilisation remains unknown. This study uniquely combines seawater C-14 labelled methanol tracer studies with 16S rRNA "pyrosequencing" to investigate variability in microbial methanol dissimilation and known methanol-utilising bacteria throughout a meridional transect of the Atlantic Ocean between 47 degrees N to 39 degrees S. Microbial methanol dissimilation varied between 0.05 and 1.68 nmol L-1 h(-1) in the top 200 m of the Atlantic Ocean and showed significant variability between biogeochemical provinces. The highest rates of methanol dissimilation were found in the northern subtropical gyre (average 0.99 +/- 0.41 nmol L-1 h(-1)), which were up to 8 times greater than other Atlantic regions. Microbial methanol dissimilation rates displayed a significant inverse correlation with heterotrophic bacterial production (determined using H-3-leucine). Despite significant depth stratification of bacterial communities, methanol dissimilation rates showed much greater variability between oceanic provinces compared to depth. There were no significant differences in rates between samples collected under light and dark environmental conditions. The variability in the numbers of SAR11 (16S rRNA gene sequences) were estimated to explain approximately 50 % of the changes in microbial methanol dissimilation rates. We estimate that SAR11 cells in the Atlantic Ocean account for between 0.3 % and 59 % of the rates of methanol dissimilation in Atlantic waters, compared to < 0.01 %-2.3 % for temperate coastal waters. These results make a substantial contribution to our current knowledge and understanding of the utilisation of methanol by marine microbial communities, but highlight the lack of understanding of in situ methanol production mechanisms.
C1 [Sargeant, Stephanie L.; Nightingale, Philip D.; Dixon, Joanna L.] Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
[Murrell, J. Colin] Univ East Anglia, Sch Environm Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
[Sargeant, Stephanie L.] Univ West England, Ctr Res Biosci, Frenchay Campus,Coldharbour Lane, Bristol BS16 1QY, Avon, England.
RP Dixon, JL (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
EM jod@pml.ac.uk
CR Beale R, 2013, J GEOPHYS RES-OCEANS, V118, P5412, DOI 10.1002/jgrc.20322
Benner R., 2011, SCI 80, P46
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carpenter LJ, 2012, CHEM SOC REV, V41, P6473, DOI 10.1039/c2cs35121h
Chistoserdova L, 2011, ENVIRON MICROBIOL, V13, P2603, DOI 10.1111/j.1462-2920.2011.02464.x
Chistoserdova L, 2009, ANNU REV MICROBIOL, V63, P477, DOI 10.1146/annurev.micro.091208.073600
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dixon JL, 2012, BIOGEOSCIENCES, V9, P2961, DOI 10.5194/bg-9-2961-2012
Dixon JL, 2011, BIOGEOSCIENCES, V8, P2707, DOI 10.5194/bg-8-2707-2011
Dixon JL, 2013, ISME J, V7, P568, DOI 10.1038/ismej.2012.130
Dixon JL, 2011, ISME J, V5, P704, DOI 10.1038/ismej.2010.169
Felix JD, 2014, ATMOS CHEM PHYS, V14, P10509, DOI 10.5194/acp-14-10509-2014
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Grob C, 2015, ENVIRON MICROBIOL, V17, P4007, DOI 10.1111/1462-2920.12935
Halsey KH, 2017, LIMNOL OCEANOGR, V62, P2650, DOI 10.1002/lno.10596
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
Heywood JL, 2006, DEEP-SEA RES PT II, V53, P1530, DOI 10.1016/j.dsr2.2006.05.005
Kolb S, 2009, FEMS MICROBIOL LETT, V300, P1, DOI 10.1111/j.1574-6968.2009.01681.x
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
McDonald IR, 1997, APPL ENVIRON MICROB, V63, P3218, DOI 10.1128/AEM.63.8.3218-3224.1997
Mcn Sieburth J., 1989, Biological Oceanography, V6, P383, DOI 10.1080/01965581.1988.10749541
Mincer TJ, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0150820
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Muyzer G., 1998, MOL MICROBIAL ECOLOG, P1
Nagata T., 2008, Microbial Ecology of the Oceans, P207, DOI DOI 10.1002/9780470281840.CH7
Neufeld JD, 2008, ENVIRON MICROBIOL, V10, P1526, DOI 10.1111/j.1462-2920.2008.01568.x
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Nightingale P. D., THESIS
Ogawa H, 2003, J OCEANOGR, V59, P129, DOI 10.1023/A:1025528919771
Sargeant SL, 2016, MAR ECOL PROG SER, V550, P53, DOI 10.3354/meps11705
Sargeant S. L., 2013, MICROBIAL UTILISATIO
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Taubert M, 2015, ENVIRON MICROBIOL, V17, P3937, DOI 10.1111/1462-2920.12896
Williams J, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020012
Wilson SM, 2008, MICROBIOL-SGM, V154, P296, DOI 10.1099/mic.0.2007/011346-0
Yang M, 2014, ATMOS CHEM PHYS, V14, P7499, DOI 10.5194/acp-14-7499-2014
Yang M, 2013, P NATL ACAD SCI USA, V110, P20034, DOI 10.1073/pnas.1317840110
NR 42
TC 8
Z9 8
PD AUG 28
PY 2018
VL 15
IS 16
BP 5155
EP 5167
DI 10.5194/bg-15-5155-2018
UT WOS:000442943600001
DA 2025-07-30
ER
PT J
AU Seong, HJ
Roux, S
Hwang, CY
Sul, WJ
AF Seong, Hoon Je
Roux, Simon
Hwang, Chung Yeon
Sul, Woo Jun
TI Marine DNA methylation patterns are associated with microbial community
composition and inform virus-host dynamics
SO MICROBIOME
DT Article
AB Background: DNA methylation in prokaryotes is involved in many different cellular processes including cell cycle regulation and defense against viruses. To date, most prokaryotic methylation systems have been studied in culturable microorganisms, resulting in a limited understanding of DNA methylation from a microbial ecology perspective. Here, we analyze the distribution patterns of several microbial epigenetics marks in the ocean microbiome through genome-centric metagenomics across all domains of life.
Results: We reconstructed 15,056 viral, 252 prokaryotic, 56 giant viral, and 6 eukaryotic metagenome-assembled genomes from northwest Pacific Ocean seawater samples using short- and long-read sequencing approaches. These metagenome-derived genomes mostly represented novel taxa, and recruited a majority of reads. Thanks to singlemolecule real-time (SMRT) sequencing technology, base modification could also be detected for these genomes. This showed that DNA methylation can readily be detected across dominant oceanic bacterial, archaeal, and viral populations, and microbial epigenetic changes correlate with population differentiation. Furthermore, our genome-wide epigenetic analysis of Pelagibacter suggests that GANTC, a DNA methyltransferase target motif, is related to the cell cycle and is affected by environmental conditions. Yet, the presence of this motif also partitions the phylogeny of the Pelagibacter phages, possibly hinting at a competitive co-evolutionary history and multiple effects of a single methylation mark.
Conclusions: Overall, this study elucidates that DNA methylation patterns are associated with ecological changes and virus-host dynamics in the ocean microbiome.
C1 [Seong, Hoon Je; Sul, Woo Jun] Chung Ang Univ, Dept Syst Biotechnol, Anseong, South Korea.
[Roux, Simon] Lawrence Berkeley Natl Lab, DOE Joint Genome Inst, Berkeley, CA USA.
[Hwang, Chung Yeon] Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea.
[Hwang, Chung Yeon] Seoul Natl Univ, Res Inst Oceanog, Seoul, South Korea.
RP Sul, WJ (corresponding author), Chung Ang Univ, Dept Syst Biotechnol, Anseong, South Korea.
EM sulwj@cau.ac.kr
CR Alneberg J, 2014, NAT METHODS, V11, P1144, DOI [10.1038/NMETH.3103, 10.1038/nmeth.3103]
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Arber W, 1974, Prog Nucleic Acid Res Mol Biol, V14, P1, DOI 10.1016/S0079-6603(08)60204-4
Ardissone S, 2016, PLOS GENET, V12, DOI 10.1371/journal.pgen.1006499
Asnicar F, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16366-7
Beaulaurier J, 2019, NAT REV GENET, V20, P157, DOI 10.1038/s41576-018-0081-3
Beaulaurier J, 2018, NAT BIOTECHNOL, V36, P61, DOI 10.1038/nbt.4037
Bland C, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-209
Blow MJ, 2016, PLOS GENET, V12, DOI 10.1371/journal.pgen.1005854
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Minh BQ, 2013, MOL BIOL EVOL, V30, P1188, DOI 10.1093/molbev/mst024
BURGERMEISTER S, 1990, J GEOPHYS RES-ATMOS, V95, P20607, DOI 10.1029/JD095iD12p20607
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Casadesús J, 2013, J BIOL CHEM, V288, P13929, DOI 10.1074/jbc.R113.472274
Cui YS, 2015, APPL ENVIRON MICROB, V81, P4184, DOI 10.1128/AEM.03873-14
De Ste Croix M, 2017, FEMS MICROBIOL REV, V41, pS3, DOI 10.1093/femsre/fux025
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Delmont Tom O., 2020, bioRxiv, P2020, DOI DOI 10.1101/2020.10.15.341214
Edgar RC, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-18
Fang G, 2012, NAT BIOTECHNOL, V30, P1232, DOI 10.1038/nbt.2432
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
HALE WB, 1994, J BACTERIOL, V176, P3438, DOI 10.1128/jb.176.11.3438-3441.1994
Hiraoka S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08103-y
Hoelzer K, 2008, NUCLEIC ACIDS RES, V36, P2825, DOI 10.1093/nar/gkn121
Huntemann M, 2015, STAND GENOMIC SCI, V10, DOI 10.1186/s40793-015-0077-y
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jarníková T, 2018, BIOGEOSCIENCES, V15, P2449, DOI 10.5194/bg-15-2449-2018
Jeltsch A, 1996, J MOL EVOL, V42, P91, DOI 10.1007/BF02198833
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kang DWD, 2019, PEERJ, V7, DOI 10.7717/peerj.7359
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Knijnenburg TA, 2014, NAT METHODS, V11, P689, DOI [10.1038/NMETH.2924, 10.1038/nmeth.2924]
Kobayashi I, 2001, NUCLEIC ACIDS RES, V29, P3742, DOI 10.1093/nar/29.18.3742
Kolmogorov M, 2020, NAT METHODS, V17, P1103, DOI 10.1038/s41592-020-00971-x
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Laslett D, 2004, NUCLEIC ACIDS RES, V32, P11, DOI 10.1093/nar/gkh152
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Li H., 2013, arXiv, DOI [10.48550/arXiv.1303.3997, DOI 10.48550/ARXIV.1303.3997]
Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
Li T, 2020, IEEE ACM T COMPUT BI, V17, P220, DOI 10.1109/TCBB.2018.2861399
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Lim HN, 2007, NAT GENET, V39, P269, DOI 10.1038/ng1956
Lin LF, 2001, P NATL ACAD SCI USA, V98, P2740, DOI 10.1073/pnas.051612298
Lo CC, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/s12859-014-0366-2
Lomsadze A, 2018, GENOME RES, V28, P1079, DOI 10.1101/gr.230615.117
Manso AS, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6055
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Murphy J, 2013, APPL ENVIRON MICROB, V79, P7547, DOI 10.1128/AEM.02229-13
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Oliveira PH, 2020, NAT MICROBIOL, V5, P166, DOI 10.1038/s41564-019-0613-4
Oliveira PH, 2016, P NATL ACAD SCI USA, V113, P5658, DOI 10.1073/pnas.1603257113
Oliveira PH, 2014, NUCLEIC ACIDS RES, V42, P10618, DOI 10.1093/nar/gku734
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Paez-Espino D, 2019, NUCLEIC ACIDS RES, V47, pD678, DOI 10.1093/nar/gky1127
Paez-Espino D, 2017, NAT PROTOC, V12, P1673, DOI 10.1038/nprot.2017.063
Parks DH, 2020, NAT BIOTECHNOL, V38, P1079, DOI 10.1038/s41587-020-0501-8
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Reisenauer A, 1999, J BACTERIOL, V181, P5135, DOI 10.1128/JB.181.17.5135-5139.1999
Rissman AI, 2009, BIOINFORMATICS, V25, P2071, DOI 10.1093/bioinformatics/btp356
Roberts RJ, 2015, NUCLEIC ACIDS RES, V43, pD298, DOI 10.1093/nar/gku1046
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Saary P, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02155-4
Sánchez-Romero MA, 2020, NAT REV MICROBIOL, V18, P7, DOI 10.1038/s41579-019-0286-2
Schloissnig S, 2013, NATURE, V493, P45, DOI 10.1038/nature11711
Schulz F, 2020, NATURE, V578, P432, DOI 10.1038/s41586-020-1957-x
Seshasayee ASN, 2012, NUCLEIC ACIDS RES, V40, P7066, DOI 10.1093/nar/gks390
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Srikhanta YN, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027569
STERNBERG N, 1990, P NATL ACAD SCI USA, V87, P8070, DOI 10.1073/pnas.87.20.8070
Tan A, 2016, FRONT IMMUNOL, V7, DOI 10.3389/fimmu.2016.00586
Tavazoie S, 1998, NAT BIOTECHNOL, V16, P566, DOI 10.1038/nbt0698-566
Ter-Hovhannisyan V, 2008, GENOME RES, V18, P1979, DOI 10.1101/gr.081612.108
Tourancheau A, 2021, NAT METHODS, V18, P491, DOI 10.1038/s41592-021-01109-3
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vasu K, 2013, MICROBIOL MOL BIOL R, V77, P53, DOI 10.1128/MMBR.00044-12
Walker BJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112963
Wang JR, 2018, BMC BIOINFORMATICS, V19, DOI 10.1186/s12859-018-2051-3
West PT, 2018, GENOME RES, V28, P569, DOI 10.1101/gr.228429.117
Wick RR, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005595
Wilson WH, 2009, CURR TOP MICROBIOL, V328, P1
Wion D, 2006, NAT REV MICROBIOL, V4, P183, DOI 10.1038/nrmicro1350
Xu HB, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052249
Zhu SJ, 2018, GENOME RES, V28, P1067, DOI 10.1101/gr.231068.117
ZWEIGER G, 1994, J MOL BIOL, V235, P472, DOI 10.1006/jmbi.1994.1007
NR 89
TC 14
Z9 14
PD SEP 28
PY 2022
VL 10
IS 1
AR 157
DI 10.1186/s40168-022-01340-w
UT WOS:000860681700001
DA 2025-07-30
ER
PT J
AU Lim, YK
Chun, SJ
Kim, JH
Park, BS
Baek, SH
AF Lim, Young Kyun
Chun, Seong-Jun
Kim, Jin Ho
Park, Bum Soo
Baek, Seung Ho
TI Short-term response of pelagic planktonic communities after inoculation
with the mass cultured dinoflagellate Alexandrium affine in a
large-scale mesocosm experiment
SO JOURNAL OF APPLIED PHYCOLOGY
DT Article
AB As a consequence of difficulties in mass culturing dinoflagellates, there have been few ecological studies and little information on the interactions of microbial planktonic communities with species that cause harmful algal blooms (HABs). To address this problem, we used a water circulation culture system that provided in-water air bubbles to achieve active growth and mass cultivation of the dinoflagellate Alexandrium affine. This facilitated assessment in a large-scale mesocosm (1000 L) of the short-term response of the marine pelagic planktonic community to inoculation with A. affine under diatom-dominant conditions. Members of the pelagic planktonic community (bacteria and phytoplankton) varied in their response to A. affine addition, even over short time periods. Following nutrient depletion, the population of the dominant diatom (Chaetoceros debilis) rapidly declined, while the proportion of A. affine increased to more than 80% in both the low and high concentration treatment groups. The bacterial community was influenced by the population dynamics of phytoplankton, but a similar effect was not evident for the mesozooplankton community. Rhodobacteraceae dominated during the diatom-dominant stage in the mesocosms, and their numbers were positively correlated with most of the diatoms, including C. debilis. In contrast, the bacterial SAR11 clade and C. debilis showed markedly opposite patterns, and their occurrences were strongly negatively correlated. At the end of the experiment, there were similar time-series changes evident between the major bacterial group, and phytoplankton of the SAR11 clade and A. affine, but these groups were not directly correlated in association network analysis, indicating that the SAR11 clade was more associated with the decline in diatom populations rather than having a stimulatory effect on dinoflagellates. The results indicate that when a large population of A. affine is introduced into an environment dominated by diatoms, it predominately contributes to changing the phytoplankton community by maintaining its own population under low nutrient conditions, rather than affecting the entire planktonic community.
C1 [Lim, Young Kyun; Kim, Jin Ho; Baek, Seung Ho] KIOST Korea Inst Ocean Sci & Technol, Risk Assessment Res Ctr, Geoje 53201, South Korea.
[Lim, Young Kyun; Baek, Seung Ho] Univ Sci & Technol, Dept Ocean Sci, Daejeon 34113, South Korea.
[Chun, Seong-Jun] Natl Inst Ecol, LMO Res Team, Seocheon 33657, South Korea.
[Kim, Jin Ho] Natl Forens Serv, DNA Anal Div, Seoul 08036, South Korea.
[Park, Bum Soo] KIOST Korea Inst Ocean Sci & Technol, Marine Ecosyst Res Ctr, Busan 49111, South Korea.
RP Baek, SH (corresponding author), KIOST Korea Inst Ocean Sci & Technol, Risk Assessment Res Ctr, Geoje 53201, South Korea.; Baek, SH (corresponding author), Univ Sci & Technol, Dept Ocean Sci, Daejeon 34113, South Korea.
EM baeksh@kiost.ac.kr
CR Alexander AC, 2016, MARINE ECOTOXICOLOGY: CURRENT KNOWLEDGE AND FUTURE ISSUES, P239, DOI 10.1016/B978-0-12-803371-5.00008-4
Assenov Y, 2008, BIOINFORMATICS, V24, P282, DOI 10.1093/bioinformatics/btm554
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Baek SH, 2008, HARMFUL ALGAE, V7, P729, DOI 10.1016/j.hal.2008.02.007
Baek SH, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072781
Baek SH, 2019, CONT SHELF RES, V175, P116, DOI 10.1016/j.csr.2019.01.014
Baek SH, 2009, HARMFUL ALGAE, V8, P843, DOI 10.1016/j.hal.2009.04.001
Band-Schmidt CJ, 2003, BOT MAR, V46, P44, DOI 10.1515/BOT.2003.007
Basti L, 2015, HARMFUL ALGAE, V43, P1, DOI 10.1016/j.hal.2014.12.004
Beaugrand G, 2014, MAR ECOL PROG SER, V502, P85, DOI 10.3354/meps10693
Biddanda B, 1997, LIMNOL OCEANOGR, V42, P506, DOI 10.4319/lo.1997.42.3.0506
BJORNSEN PK, 1988, LIMNOL OCEANOGR, V33, P151, DOI 10.4319/lo.1988.33.1.0151
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Carstensen J, 2015, ESTUAR COAST SHELF S, V162, P98, DOI 10.1016/j.ecss.2015.05.005
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Chun SJ, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01637
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Csardi G., 2006, Complex Syst, V1695, P1
CULLEN JJ, 1981, MAR BIOL, V62, P81, DOI 10.1007/BF00388169
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Fuks D, 2005, SCI TOTAL ENVIRON, V353, P178, DOI 10.1016/j.scitotenv.2005.09.015
George JA, 2015, LIMNOL OCEANOGR, V60, P110, DOI 10.1002/lno.10020
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Guillard R.R.L., 1975, Culture of Marine Invertebrate Animals, P29, DOI [10.1007/978-1-4615-8714-9_3, DOI 10.1007/978-1-4615-8714-9_3]
Ha Lee K, 2019, ALGAE-SEOUL, V34, P237, DOI 10.4490/algae.2019.34.8.28
Harrell F.E., 2019, CRAN2018, P235
Heiskanen A S., 1998, Monographs of the Boreal Environment Research, V8, P1
HELLEBUST J. A., 1965, LIMNOL OCEANOGR, V10, P192
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Humphries MD, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002051
Katsuo D, 2007, HARMFUL ALGAE, V6, P790, DOI 10.1016/j.hal.2007.04.002
King AL, 2011, ISME J, V5, P1388, DOI 10.1038/ismej.2010.211
KIRKWOOD DS, 1992, MAR CHEM, V38, P151, DOI 10.1016/0304-4203(92)90032-6
Labry C, 2008, J EXP MAR BIOL ECOL, V358, P124, DOI 10.1016/j.jembe.2008.01.025
Lee Joon-Baek, 1998, Journal of Fisheries Science and Technology, V1, P283
Lee KH, 2016, HARMFUL ALGAE, V59, P67, DOI 10.1016/j.hal.2016.09.008
Legrand C, 2003, PHYCOLOGIA, V42, P406, DOI 10.2216/i0031-8884-42-4-406.1
Li WZ, 2012, BRIEF BIOINFORM, V13, P656, DOI 10.1093/bib/bbs035
Lim AS, 2014, HARMFUL ALGAE, V37, P53, DOI 10.1016/j.hal.2014.05.003
Lim YK, 2021, HARMFUL ALGAE, V104, DOI 10.1016/j.hal.2021.102029
Lim YK, 2019, J EXP MAR BIOL ECOL, V516, P51, DOI 10.1016/j.jembe.2019.05.006
Lin SJ, 2016, J PHYCOL, V52, P10, DOI 10.1111/jpy.12365
Litchman E, 2007, ECOL LETT, V10, P1170, DOI 10.1111/j.1461-0248.2007.01117.x
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Marañon E, 2013, ECOL LETT, V16, P371, DOI 10.1111/ele.12052
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Myklestad S.M., 2005, Marine Chemistry, P111, DOI DOI 10.1007/10683826_5
Nakanishi K, 1996, ANAL LETT, V29, P1247
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nguyen-Ngoc L, 2004, HARMFUL ALGAE, V3, P117, DOI 10.1016/S1568-9883(03)00062-3
Park BS, 2015, HARMFUL ALGAE, V48, P44, DOI 10.1016/j.hal.2015.07.004
Parsons T.R., 1984, A Manual of Chemical Biological Methods for Seawater Analysis, P17, DOI DOI 10.1016/6978-0-08-030287-4.50014-1
Prince EK, 2008, LIMNOL OCEANOGR, V53, P531, DOI 10.4319/lo.2008.53.2.0531
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
RAVEN JA, 1987, NEW PHYTOL, V106, P357, DOI 10.1111/j.1469-8137.1987.tb00149.x
Reilly TJ, 1999, PURE APPL CHEM, V71, P153, DOI 10.1351/pac199971010153
Sarthou G, 2005, J SEA RES, V53, P25, DOI 10.1016/j.seares.2004.01.007
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sharma KV, 2021, ENVIRON SCI POLLUT R, V28, P1304, DOI 10.1007/s11356-020-11121-3
Smayda TJ, 2001, J PLANKTON RES, V23, P447, DOI 10.1093/plankt/23.5.447
Smayda TJ, 1997, LIMNOL OCEANOGR, V42, P1137, DOI 10.4319/lo.1997.42.5_part_2.1137
Sosa OA, 2015, ISME J, V9, P2725, DOI 10.1038/ismej.2015.68
Sournia A., 1978, PHYTOPLANKTON MANUAL, P75
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thompson FL, 2004, MICROBIOL MOL BIOL R, V68, P403, DOI 10.1128/MMBR.68.3.403-431.2004
Thompson LR, 2013, ECOL EVOL, V3, P1780, DOI 10.1002/ece3.593
Tinta T, 2015, ENVIRON MICROBIOL, V17, P3581, DOI 10.1111/1462-2920.12519
Tinta T, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039274
Tosadori Gabriele, 2016, F1000Res, V5, P2524, DOI 10.12688/f1000research.9203.2
Wagner-Döbler I, 2010, ISME J, V4, P61, DOI 10.1038/ismej.2009.94
Wasmund N, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00022
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Xu WJ, 2019, MAR ENVIRON RES, V148, P19, DOI 10.1016/j.marenvres.2019.05.005
Zhou YP, 2017, SCI TOTAL ENVIRON, V574, P499, DOI 10.1016/j.scitotenv.2016.09.092
NR 78
TC 5
Z9 5
PD OCT
PY 2021
VL 33
IS 5
BP 3123
EP 3137
DI 10.1007/s10811-021-02531-y
EA JUL 2021
UT WOS:000676064500002
DA 2025-07-30
ER
PT J
AU Luo, HW
Moran, MA
AF Luo, Haiwei
Moran, Mary Ann
TI Assembly-free metagenomic analysis reveals new metabolic capabilities in
surface ocean bacterioplankton
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Uncovering the metabolic capabilities of microbes is key to understanding global energy flux and nutrient transformations. Since the vast majority of environmental microorganisms are uncultured, metagenomics has become an important tool to genotype the microbial community. This study uses a recently developed computational method to confidently assign metagenomic reads to microbial clades without the requirement of metagenome assembly by comparing the evolutionary pattern of nucleotide sequences at non-synonymous sites between metagenomic and orthologous reference genes. We found evidence for new, ecologically relevant metabolic pathways in several lineages of surface ocean bacterioplankton using the Global Ocean Survey (GOS) metagenomic data, including assimilatory sulfate reduction and alkaline phosphatase capabilities in the alphaproteobacterial SAR11 clade, and proteorhodopsin-like genes in the cyanobacterial genus Prochlorococcus. These findings raise new hypotheses about microbial roles in energy flux and organic matter transformation in the ocean.
C1 [Luo, Haiwei; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
Akram N, 2013, ENVIRON MICROBIOL, V15, P1400, DOI 10.1111/1462-2920.12085
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
COLEMAN JE, 1992, ANNU REV BIOPH BIOM, V21, P441, DOI 10.1146/annurev.bb.21.060192.002301
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
DeLong EF, 2009, NATURE, V459, P200, DOI 10.1038/nature08059
Duhamel S, 2011, LIMNOL OCEANOGR, V56, P1244, DOI 10.4319/lo.2011.56.4.1244
Duhamel S, 2010, LIMNOL OCEANOGR, V55, P1414, DOI 10.4319/lo.2010.55.3.1414
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Falkowski PG, 2004, SCIENCE, V305, P354, DOI 10.1126/science.1095964
Foster PG, 1999, J MOL EVOL, V48, P284, DOI 10.1007/PL00006471
Foster PG, 2004, SYST BIOL, V53, P485, DOI 10.1080/10635150490445779
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Fu Z, 2007, J COMPUT BIOL, V14, P1160, DOI 10.1089/cmb.2007.0048
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Galperin MY, 2012, J BIOL CHEM, V287, P21, DOI 10.1074/jbc.R111.241976
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kageyama H, 2011, APPL ENVIRON MICROB, V77, P5178, DOI 10.1128/AEM.00667-11
Karl D.M., 2002, BIOGEOCHEMISTRY MARI, P249, DOI DOI 10.1016/B978-012323841-2/50008-7
KASS RE, 1995, J AM STAT ASSOC, V90, P773, DOI 10.1080/01621459.1995.10476572
Kathuria S, 2011, ENVIRON MICROBIOL, V13, P74, DOI 10.1111/j.1462-2920.2010.02310.x
Katoh K, 2005, NUCLEIC ACIDS RES, V33, P511, DOI 10.1093/nar/gki198
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Larkin MA, 2007, BIOINFORMATICS, V23, P2947, DOI 10.1093/bioinformatics/btm404
Lassmann T, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-298
Lewis PO, 2005, SYST BIOL, V54, P241, DOI 10.1080/10635150590924208
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Lomas MW, 2010, BIOGEOSCIENCES, V7, P695, DOI 10.5194/bg-7-695-2010
Löytynoja A, 2008, SCIENCE, V320, P1632, DOI 10.1126/science.1158395
Löytynoja A, 2012, BIOINFORMATICS, V28, P1684, DOI 10.1093/bioinformatics/bts198
Luo HW, 2012, ENVIRON MICROBIOL, V14, P41, DOI 10.1111/j.1462-2920.2011.02528.x
Luo HW, 2011, MOL BIOL EVOL, V28, P2751, DOI 10.1093/molbev/msr081
Luo HW, 2011, AQUAT MICROB ECOL, V62, P61, DOI 10.3354/ame01458
Luo HW, 2009, P NATL ACAD SCI USA, V106, P21219, DOI 10.1073/pnas.0907586106
Mann EL, 2000, LIMNOL OCEANOGR, V45, P1067, DOI 10.4319/lo.2000.45.5.1067
Mather RL, 2008, NAT GEOSCI, V1, P439, DOI 10.1038/ngeo232
Morgenstern B, 2004, NUCLEIC ACIDS RES, V32, pW33, DOI 10.1093/nar/gkh373
NEWTON MA, 1994, J R STAT SOC B, V56, P3
Notredame C, 2000, J MOL BIOL, V302, P205, DOI 10.1006/jmbi.2000.4042
Orchard ED, 2009, ENVIRON MICROBIOL, V11, P2400, DOI 10.1111/j.1462-2920.2009.01968.x
Pruitt KD, 2009, NUCLEIC ACIDS RES, V37, pD32, DOI 10.1093/nar/gkn721
Sebastian M, 2011, ENV MICROBIOL REP, V3, P535, DOI 10.1111/j.1758-2229.2011.00253.x
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Suzumura M, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00099
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Van Mooy BAS, 2008, LIMNOL OCEANOGR, V53, P78, DOI 10.4319/lo.2008.53.1.0078
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
Wheeler TJ, 2007, BIOINFORMATICS, V23, pI559, DOI 10.1093/bioinformatics/btm226
Wu JR, 2007, FEMS MICROBIOL LETT, V267, P113, DOI 10.1111/j.1574-6968.2006.00542.x
YAMANE K, 1978, J BACTERIOL, V134, P100, DOI 10.1128/JB.134.1.100-107.1978
Yang ZH, 1997, COMPUT APPL BIOSCI, V13, P555
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
NR 70
TC 8
Z9 9
PD OCT
PY 2013
VL 5
IS 5
BP 686
EP 696
DI 10.1111/1758-2229.12068
UT WOS:000325142700008
DA 2025-07-30
ER
PT J
AU Chow, CET
Sachdeva, R
Cram, JA
Steele, JA
Needham, DM
Patel, A
Parada, AE
Fuhrman, JA
AF Chow, Cheryl-Emiliane T.
Sachdeva, Rohan
Cram, Jacob A.
Steele, Joshua A.
Needham, David M.
Patel, Anand
Parada, Alma E.
Fuhrman, Jed A.
TI Temporal variability and coherence of euphotic zone bacterial
communities over a decade in the Southern California Bight
SO ISME JOURNAL
DT Article
AB Time-series are critical to understanding long-term natural variability in the oceans. Bacterial communities in the euphotic zone were investigated for over a decade at the San Pedro Ocean Time-series station (SPOT) off southern California. Community composition was assessed by Automated Ribosomal Intergenic Spacer Analysis (ARISA) and coupled with measurements of oceanographic parameters for the surface ocean (0-5 m) and deep chlorophyll maximum (DCM, average depth similar to 30 m). SAR11 and cyanobacterial ecotypes comprised typically more than one-third of the measured community; diversity within both was temporally variable, although a few operational taxonomic units (OTUs) were consistently more abundant. Persistent OTUs, mostly Alphaproteobacteria (SAR11 clade), Actinobacteria and Flavobacteria, tended to be abundant, in contrast to many rarer yet intermittent and ephemeral OTUs. Association networks revealed potential niches for key OTUs from SAR11, cyanobacteria, SAR86 and other common clades on the basis of robust correlations. Resilience was evident by the average communities drifting only slightly as years passed. Average Bray-Curtis similarity between any pair of dates was similar to 40%, with a slight decrease over the decade and obvious near-surface seasonality; communities 8-10 years apart were slightly more different than those 1-4 years apart with the highest rate of change at 0-5m between communities <4 years apart. The surface exhibited more pronounced seasonality than the DCM. Inter-depth Bray-Curtis similarities repeatedly decreased as the water column stratified each summer. Environmental factors were better predictors of shifts in community composition than months or elapsed time alone; yet, the best predictor was community composition at the other depth (that is, 0-5m versus DCM).
C1 [Chow, Cheryl-Emiliane T.; Sachdeva, Rohan; Cram, Jacob A.; Steele, Joshua A.; Needham, David M.; Patel, Anand; Parada, Alma E.; Fuhrman, Jed A.] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
RP Chow, CET (corresponding author), Univ British Columbia, Dept Earth Ocean & Atmospher Sci, 2020-2207 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM cheryltchow@alumni.usc.edu
CR Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Assenov Y, 2008, BIOINFORMATICS, V24, P282, DOI 10.1093/bioinformatics/btm554
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
Beman JM, 2010, ENVIRON MICROBIOL, V12, P1282, DOI 10.1111/j.1462-2920.2010.02172.x
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Cai HY, 2010, APPL ENVIRON MICROB, V76, P2955, DOI 10.1128/AEM.02868-09
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2012, ISME J, V6, P1089, DOI 10.1038/ismej.2011.162
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chow CET, 2012, ENVIRON MICROBIOL, V14, P2171, DOI 10.1111/j.1462-2920.2012.02744.x
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Clarke KR., 2006, PRIMER VERSION 7 USE
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Collins LE, 2011, DEEP-SEA RES PT I, V58, P898, DOI 10.1016/j.dsr.2011.06.008
Countway PD, 2006, APPL ENVIRON MICROB, V72, P2496, DOI 10.1128/AEM.72.4.2496-2506.2006
Countway PD, 2010, LIMNOL OCEANOGR, V55, P2381, DOI 10.4319/lo.2010.55.6.2381
Ducklow HW, 2009, ANNU REV MAR SCI, V1, P279, DOI 10.1146/annurev.marine.010908.163801
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Eiler A, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00140
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Hooker SB, 2000, PROG OCEANOGR, V45, P427, DOI 10.1016/S0079-6611(00)00012-4
Kan J, 2007, APPL ENVIRON MICROB, V73, P6776, DOI 10.1128/AEM.00541-07
Kottmann R, 2010, NUCLEIC ACIDS RES, V38, pD391, DOI 10.1093/nar/gkp918
Li WKW, 1998, LIMNOL OCEANOGR, V43, P1746, DOI 10.4319/lo.1998.43.7.1746
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
Montoya JM, 2006, NATURE, V442, P259, DOI 10.1038/nature04927
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Paerl RW, 2012, ENVIRON MICROBIOL, V14, P580, DOI 10.1111/j.1462-2920.2011.02594.x
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Patel A, 2007, NAT PROTOC, V2, P269, DOI 10.1038/nprot.2007.6
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Robidart JC, 2012, ISME J, V6, P513, DOI 10.1038/ismej.2011.127
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Ruan QS, 2006, BIOINFORMATICS, V22, P2532, DOI 10.1093/bioinformatics/btl417
Ruan Q, 2006, BIOINFORMATICS, V22, P1508, DOI 10.1093/bioinformatics/btl114
Shade A, 2012, ENVIRON MICROBIOL, V14, P4, DOI 10.1111/j.1462-2920.2011.02585.x
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sher D, 2011, ISME J, V5, P1125, DOI 10.1038/ISMEJ.2011.1
Smoot ME, 2011, BIOINFORMATICS, V27, P431, DOI 10.1093/bioinformatics/btq675
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Storey JD, 2002, J ROY STAT SOC B, V64, P479, DOI 10.1111/1467-9868.00346
Tai V, 2009, ISME J, V3, P903, DOI 10.1038/ismej.2009.35
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Watts DJ, 1998, NATURE, V393, P440, DOI 10.1038/30918
Weinbauer MG, 2011, J PLANKTON RES, V33, P1465, DOI 10.1093/plankt/fbr041
Xia LC, 2013, BIOINFORMATICS, V29, P230, DOI 10.1093/bioinformatics/bts668
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
Yilmaz P, 2012, FEMS MICROBIOL ECOL, V81, P373, DOI 10.1111/j.1574-6941.2012.01357.x
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 68
TC 125
Z9 148
PD DEC
PY 2013
VL 7
IS 12
BP 2259
EP 2273
DI 10.1038/ismej.2013.122
UT WOS:000327451800003
DA 2025-07-30
ER
PT J
AU Sutherland, KM
Coe, A
Gast, RJ
Plummer, S
Suffridge, CP
Diaz, JM
Bowman, JS
Wankel, SD
Hansel, CM
AF Sutherland, Kevin M.
Coe, Allison
Gast, Rebecca J.
Plummer, Sydney
Suffridge, Christopher P.
Diaz, Julia M.
Bowman, Jeff S.
Wankel, Scott D.
Hansel, Colleen M.
TI Extracellular superoxide production by key microbes in the global ocean
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Bacteria and eukaryotes produce the reactive oxygen species superoxide both within and outside the cell. Although superoxide is typically associated with the detrimental and sometimes fatal effects of oxidative stress, it has also been shown to be involved in a range of essential biochemical processes, including cell signaling, growth, differentiation, and defense. Light-independent extracellular superoxide production has been shown to be widespread among many marine heterotrophs and phytoplankton, but the extent to which this trait is relevant to marine microbial physiology and ecology throughout the global ocean is unknown. Here, we investigate the dark extracellular superoxide production of five groups of organisms that are geographically widespread and represent some of the most abundant organisms in the global ocean. These include Prochlorococcus, Synechococcus, Pelagibacter, Phaeocystis, and Geminigera. Cell-normalized net extracellular superoxide production rates ranged seven orders of magnitude, from undetectable to 14,830 amol cell(-1) h(-1), with the cyanobacterium Prochlorococcus being the lowest producer and the cryptophyte Geminigera being the most prolific producer. Extracellular superoxide production exhibited a strong inverse relationship with cell number, pointing to a potential role in cell signaling. We demonstrate that rapid, cell-number-dependent changes in the net superoxide production rate by Synechococcus and Pelagibacter arose primarily from changes in gross production of extracellular superoxide, not decay. These results expand the relevance of dark extracellular superoxide production to key marine microbes of the global ocean, suggesting that superoxide production in marine waters is regulated by a diverse suite of marine organisms in both dark and sunlit waters.
C1 [Sutherland, Kevin M.; Wankel, Scott D.; Hansel, Colleen M.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Sutherland, Kevin M.] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA USA.
[Coe, Allison] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
[Gast, Rebecca J.] Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA.
[Plummer, Sydney; Diaz, Julia M.] Univ Georgia, Skidaway Inst Oceanog, Dept Marine Sci, Savannah, GA USA.
[Suffridge, Christopher P.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Bowman, Jeff S.] Scripps Inst Oceanog, Integrat Oceanog Div, La Jolla, CA USA.
RP Hansel, CM (corresponding author), Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
EM chansel@whoi.ediu
CR Alvain S, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003154
Andeer PF, 2015, ENVIRON MICROBIOL, V17, P3925, DOI 10.1111/1462-2920.12893
Asada K, 2006, PLANT PHYSIOL, V141, P391, DOI 10.1104/pp.106.082040
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
BIELSKI BHJ, 1985, J PHYS CHEM REF DATA, V14, P1041, DOI 10.1063/1.555739
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buetler TM, 2004, NEWS PHYSIOL SCI, V19, P120, DOI 10.1152/nips.01514.2003
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
CARLIOZ A, 1986, EMBO J, V5, P623, DOI 10.1002/j.1460-2075.1986.tb04256.x
Carpenter EJ, 2004, DEEP-SEA RES PT I, V51, P173, DOI 10.1016/j.dsr.2003.10.006
Diaz J. M., 2018, J PLANKTON RES, V40, P1, DOI [10.11821/dlxb201802008, DOI 10.11821/DLXB201802008]
Diaz JM, 2018, J PLANKTON RES, V40, P655, DOI 10.1093/plankt/fby039
Diaz JM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13801
Diaz JM, 2013, SCIENCE, V340, P1223, DOI 10.1126/science.1237331
Dickinson BC, 2011, NAT CHEM BIOL, V7, P504, DOI [10.1038/NCHEMBIO.607, 10.1038/nchembio.607]
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fridovich I, 1998, J EXP BIOL, V201, P1203
FRIDOVICH I, 1983, ANNU REV PHARMACOL, V23, P239, DOI 10.1146/annurev.pa.23.040183.001323
Gast RJ, 2014, FEMS MICROBIOL ECOL, V89, P388, DOI 10.1111/1574-6941.12334
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Guillard R.R.L., 1975, Culture of Marine Invertebrate Animals, P29, DOI [10.1007/978-1-4615-8714-9_3, DOI 10.1007/978-1-4615-8714-9_3]
GUSKOVA RA, 1984, BIOCHIM BIOPHYS ACTA, V778, P579, DOI 10.1016/0005-2736(84)90409-7
Hansard SP, 2010, DEEP-SEA RES PT I, V57, P1111, DOI 10.1016/j.dsr.2010.05.007
Hansel CM, 2016, LIMNOL OCEANOGR, V61, P1188, DOI 10.1002/lno.10266
Hansel C. M., 2019, TIGHT REGULATION EXT, V10, P1
Heller MI, 2011, MAR CHEM, V126, P37, DOI 10.1016/j.marchem.2011.03.006
Heller MI, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC006021
Heller M, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00132
Hess WR, 2001, PHOTOSYNTH RES, V70, P53, DOI 10.1023/A:1013835924610
Johnson MD, 2009, P NATL ACAD SCI USA, V106, P6696, DOI 10.1073/pnas.0902005106
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kim D, 2000, BBA-GEN SUBJECTS, V1524, P220, DOI 10.1016/S0304-4165(00)00161-6
Korshunov SS, 2002, MOL MICROBIOL, V43, P95, DOI 10.1046/j.1365-2958.2002.02719.x
Kustka AB, 2005, LIMNOL OCEANOGR, V50, P1172, DOI 10.4319/lo.2005.50.4.1172
Lamb C, 1997, ANNU REV PLANT PHYS, V48, P251, DOI 10.1146/annurev.arplant.48.1.251
Lara-Ortíz T, 2003, MOL MICROBIOL, V50, P1241, DOI 10.1046/j.1365-2958.2003.03800.x
Learman DR, 2011, NAT GEOSCI, V4, P95, DOI [10.1038/ngeo1055, 10.1038/NGEO1055]
Marshall JA, 2005, MAR BIOL, V147, P541, DOI 10.1007/s00227-005-1597-6
Marshall JA, 2002, J PLANKTON RES, V24, P1231, DOI 10.1093/plankt/24.11.1231
McKie-Krisberg ZM, 2015, MICROB ECOL, V70, P21, DOI 10.1007/s00248-014-0543-x
Mella-Flores Daniella, 2012, Front Microbiol, V3, P285
Moisan TA, 1999, LIMNOL OCEANOGR, V44, P247, DOI 10.4319/lo.1999.44.2.0247
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
OLSON RJ, 1990, LIMNOL OCEANOGR, V35, P45, DOI 10.4319/lo.1990.35.1.0045
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Powers LC, 2014, ENVIRON SCI-PROC IMP, V16, P792, DOI 10.1039/c3em00617d
Roe KL, 2016, DEEP-SEA RES PT I, V107, P59, DOI 10.1016/j.dsr.2015.10.012
Rose AL, 2005, ENVIRON SCI TECHNOL, V39, P3708, DOI 10.1021/es048766c
Rose AL, 2008, ENVIRON SCI TECHNOL, V42, P2387, DOI 10.1021/es7024609
Rose AL, 2008, ANAL CHEM, V80, P1215, DOI 10.1021/ac7018975
Rose AL, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00124
Rusak SA, 2011, MAR CHEM, V127, P155, DOI 10.1016/j.marchem.2011.08.005
Saito MA, 2002, LIMNOL OCEANOGR, V47, P1629, DOI 10.4319/lo.2002.47.6.1629
Saragosti E, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012508
Saran M, 2003, FREE RADICAL RES, V37, P1045, DOI 10.1080/10715760310001594631
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schneider RJ, 2016, FRONT CHEM, V4, DOI 10.3389/fchem.2016.00005
Schoemann V, 2005, J SEA RES, V53, P43, DOI 10.1016/j.seares.2004.01.008
STORZ G, 1987, P NATL ACAD SCI USA, V84, P8917, DOI 10.1073/pnas.84.24.8917
Vogt M, 2012, EARTH SYST SCI DATA, V4, P107, DOI 10.5194/essd-4-107-2012
Wang SL, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2009JC005817
Waterbury JB., 1986, CAN B FISH AQUAT SCI, V214, P71
Wuttig K, 2013, ENVIRON SCI TECHNOL, V47, P10249, DOI 10.1021/es401658t
Wuttig K, 2013, ENVIRON SCI TECHNOL, V47, P10257, DOI 10.1021/es4016603
Zhang T, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00232
Zhang T, 2016, ENVIRON SCI TECHNOL, V50, P2983, DOI 10.1021/acs.est.5b03906
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zinser ER, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005135
NR 75
TC 30
Z9 36
PD NOV
PY 2019
VL 64
IS 6
BP 2679
EP 2693
DI 10.1002/lno.11247
EA JUL 2019
UT WOS:000477223800001
DA 2025-07-30
ER
PT J
AU Hanson, BT
Hewson, I
Madsen, EL
AF Hanson, Buck T.
Hewson, Ian
Madsen, Eugene L.
TI Metaproteomic Survey of Six Aquatic Habitats: Discovering the Identities
of Microbial Populations Active in Biogeochemical Cycling
SO MICROBIAL ECOLOGY
DT Article
AB Our goal is to strengthen the foundations of metaproteomics as a microbial community analysis tool that links the functional identity of actively expressed gene products with host phylogeny. We used shotgun metaproteomics to survey waters in six disparate aquatic habitats (Cayuga Lake, NY; Oneida Lake, NY; Gulf of Maine; Chesapeake Bay, MD; Gulf of Mexico; and the South Pacific). Peptide pools prepared from filter-gathered microbial biomass, analyzed by nano-liquid chromatography-mass spectrometry (MS/MS) generating 9,693 +/- 1,073 mass spectra identified 326 +/- 107 bacterial proteins per sample. Distribution of proteobacterial (Alpha and Beta) and cyanobacterial (Prochlorococcus and Synechococcus spp.) protein hosts across all six samples was consistent with the previously published biogeography for these microorganisms. Marine samples were enriched in transport proteins (TRAP-type for dicarboxylates and ATP binding cassette (ABC)-type for amino acids and carbohydrates) compared with the freshwater samples. We were able to match in situ expression of many key proteins catalyzing C-, N-, and S-cycle processes with their bacterial hosts across all six habitats. Pelagibacter was identified as the host of ABC-type sugar-, organic polyanion-, and glycine betaine-transport proteins; this extends previously published studies of Pelagibacter's in situ biogeochemical role in marine C- and N-metabolism. Proteins matched to Ruegeria confirmed these organism's role in marine waters oxidizing both carbon monoxide and sulfide. By documenting both processes expressed in situ and the identity of host cells, metaproteomics tested several existing hypotheses about ecophysiological processes and provided fodder for new ones.
C1 [Hanson, Buck T.; Hewson, Ian; Madsen, Eugene L.] Cornell Univ, Dept Microbiol, Ithaca, NY 14853 USA.
RP Madsen, EL (corresponding author), Cornell Univ, Dept Microbiol, B57A Wing Hall, Ithaca, NY 14853 USA.
EM elm3@cornell.edu
CR Ahlgren NA, 2006, APPL ENVIRON MICROB, V72, P7193, DOI 10.1128/AEM.00358-06
ANTIA NJ, 1991, PHYCOLOGIA, V30, P1, DOI 10.2216/i0031-8884-30-1-1.1
Aylward FO, 2012, ISME J, V6, P1688, DOI 10.1038/ismej.2012.10
Becher D, 2013, PROTEOMICS, V13, P2895, DOI 10.1002/pmic.201300095
Beck DAC, 2011, J BACTERIOL, V193, P4758, DOI 10.1128/JB.05375-11
Benndorf D, 2007, ISME J, V1, P224, DOI 10.1038/ismej.2007.39
Bosch G, 2009, MICROBIOL-SGM, V155, P1103, DOI 10.1099/mic.0.024968-0
Bradley PB, 2010, ESTUAR COAST SHELF S, V88, P429, DOI 10.1016/j.ecss.2010.02.001
Cai HY, 2010, APPL ENVIRON MICROB, V76, P2955, DOI 10.1128/AEM.02868-09
CAMPBELL L, 1994, LIMNOL OCEANOGR, V39, P954, DOI 10.4319/lo.1994.39.4.0954
Chen F, 2006, APPL ENVIRON MICROB, V72, P2239, DOI 10.1128/AEM.72.3.2239-2243.2006
Choi DH, 2009, FEMS MICROBIOL ECOL, V69, P439, DOI 10.1111/j.1574-6941.2009.00729.x
Christie-Oleza JA, 2012, ISME J, V6, P124, DOI 10.1038/ismej.2011.86
Cunliffe M, 2013, APPL ENVIRON MICROB, V79, P738, DOI 10.1128/AEM.02466-12
Cunliffe M, 2011, ISME J, V5, P685, DOI 10.1038/ismej.2010.170
Dekas AE, 2009, SCIENCE, V326, P422, DOI 10.1126/science.1178223
Delmotte N, 2009, P NATL ACAD SCI USA, V106, P16428, DOI 10.1073/pnas.0905240106
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Dufresne A, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-5-r90
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuller NJ, 2003, APPL ENVIRON MICROB, V69, P2430, DOI 10.1128/AEM.69.5.2430-2443.2003
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Greeson P.E., 1971, LIMNOLOGY ONEIDA LAK
Gygi SP, 1999, MOL CELL BIOL, V19, P1720, DOI 10.1128/mcb.19.3.1720
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Harel M, 2012, ENV MICROBIOL REP, V4, P342, DOI 10.1111/j.1758-2229.2012.00339.x
Hettich RL, 2012, CURR OPIN MICROBIOL, V15, P373, DOI 10.1016/j.mib.2012.04.008
Hewson I, 2010, ENVIRON MICROBIOL, V12, P1940, DOI 10.1111/j.1462-2920.2010.02198.x
Hewson I, 2009, LIMNOL OCEANOGR, V54, P1981, DOI 10.4319/lo.2009.54.6.1981
Hinrichs KU, 1999, NATURE, V398, P802, DOI 10.1038/19751
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
Hotto A., 2005, Environ Toxicol, V73, P4570
Hotto AM, 2008, HARMFUL ALGAE, V7, P671, DOI 10.1016/j.hal.2008.02.001
Huang SJ, 2012, ISME J, V6, P285, DOI 10.1038/ismej.2011.106
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Jeon CO, 2003, P NATL ACAD SCI USA, V100, P13591, DOI 10.1073/pnas.1735529100
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kalyuzhnaya MG, 2010, ISME J, V4, P388, DOI 10.1038/ismej.2009.117
Klammer S., 2002, Water, Air, V2, P137
Knief C, 2012, ISME J, V6, P1378, DOI 10.1038/ismej.2011.192
Liu M, 2012, ISME J, V6, P1515, DOI 10.1038/ismej.2012.1
Madsen EL, 2005, NAT REV MICROBIOL, V3, P439, DOI 10.1038/nrmicro1151
Madsen EL, 1998, ENVIRON SCI TECHNOL, V32, P429, DOI 10.1021/es970551y
Madsen EL, 2011, CURR OPIN BIOTECH, V22, P456, DOI 10.1016/j.copbio.2011.01.008
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Mann EL, 2000, LIMNOL OCEANOGR, V45, P1067, DOI 10.4319/lo.2000.45.5.1067
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P823, DOI 10.1111/j.1462-2920.2008.01803.x
Methe BA, 1998, LIMNOL OCEANOGR, V43, P368, DOI 10.4319/lo.1998.43.2.0368
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moran MA, 2013, ISME J, V7, P237, DOI 10.1038/ismej.2012.94
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Murrell JC, 2011, STABLE ISOTOPE PROBING AND RELATED TECHNOLOGIES, P1
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Ng C, 2010, ISME J, V4, P1002, DOI 10.1038/ismej.2010.28
Oglesby R.T., 1978, Lakes of New York State, V1, P1
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Palenik B, 2006, P NATL ACAD SCI USA, V103, P13555, DOI 10.1073/pnas.0602963103
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Ram RJ, 2005, SCIENCE, V308, P1915, DOI 10.1126/science. 1109070
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Rusch DB, 2010, P NATL ACAD SCI USA, V107, P16184, DOI 10.1073/pnas.1009513107
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schneider T, 2010, PROTEOMICS, V10, P785, DOI 10.1002/pmic.200900450
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steunou AS, 2008, ISME J, V2, P364, DOI 10.1038/ismej.2007.117
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Thompson AW, 2011, ISME J, V5, P1580, DOI 10.1038/ismej.2011.49
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
VerBerkmoes NC, 2009, NAT REV MICROBIOL, V7, P196, DOI 10.1038/nrmicro2080
Verberkmoes NC, 2009, ISME J, V3, P179, DOI 10.1038/ismej.2008.108
Wang HB, 2011, J PROTEOME RES, V10, P932, DOI 10.1021/pr100981r
Williams MA, 2010, SOIL BIOL BIOCHEM, V42, P1148, DOI 10.1016/j.soilbio.2010.03.021
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wrighton KC, 2012, SCIENCE, V337, P1661, DOI 10.1126/science.1224041
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
Zinser ER, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005135
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 100
TC 31
Z9 33
PD APR
PY 2014
VL 67
IS 3
BP 520
EP 539
DI 10.1007/s00248-013-0346-5
UT WOS:000333348900003
DA 2025-07-30
ER
PT J
AU Bergen, B
Herlemann, DPR
Jürgens, K
AF Bergen, Benjamin
Herlemann, Daniel P. R.
Juergens, Klaus
TI Zonation of bacterioplankton communities along aging upwelled water in
the northern Benguela upwelling
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Upwelling areas are shaped by enhanced primary production in surface waters, accompanied by a well-investigated planktonic succession. Although bacteria play an important role in biogeochemical cycles of upwelling systems, little is known about bacterial community composition and its development during upwelling events. The aim of this study was to investigate the succession of bacterial assemblages in aging upwelled water of the Benguela upwelling from coastal to offshore sites. Water from the upper mixed layer at 12 stations was sampled along two transects from the origin of the upwelling to a distance of 220 km. 16S rRNA gene amplicon sequencing was then used in a bacterial diversity analysis and major bacterial taxa were quantified by catalyzed reporter deposition-fluorescence in situ hybridization. Additionally, bacterial cell numbers and bacterial production were assessed. Community statistical analysis revealed a reproducible zonation along the two transects, with four clusters of significantly different microbial assemblages. Clustering was mainly driven by phytoplankton composition and abundance. Similar to the temporal succession that occurs during phytoplankton blooms in temperate coastal waters, operational taxonomic units (OTUs) affiliated with Bacteroidetes and Gammaproteobacteria were dominant during algal blooming whereas "Pelagibacterales" were highly abundant in regions with low algal abundance. The most dominant heterotrophic OTU (9% of all reads) was affiliated with "Pelagibacterales" and showed a strong negative correlation with phytoplankton. By contrast, the second most abundant heterotrophic OTU (6% of all reads) was affiliated with the phylum Verrucomicrobia and correlated positively with phytoplankton. Together with the close relation of bacterial production and phytoplankton abundance, our results showed that bacterial community dynamics is strongly driven by the development and composition of the phytoplankton community.
C1 [Bergen, Benjamin; Herlemann, Daniel P. R.; Juergens, Klaus] Leibniz Inst Balt Sea Res Wamemunde, D-18119 Rostock, Germany.
RP Jürgens, K (corresponding author), Leibniz Inst Balt Sea Res Wamemunde, Seestr 15, D-18119 Rostock, Germany.
EM klaus.juergens@io-warnemuende.de
CR Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Alonso-Gutiérrez J, 2009, FEMS MICROBIOL ECOL, V70, P493, DOI 10.1111/j.1574-6941.2009.00766.x
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Arnosti C, 2011, ANNU REV MAR SCI, V3, P401, DOI 10.1146/annurev-marine-120709-142731
Baltar F, 2007, AQUAT MICROB ECOL, V50, P63, DOI 10.3354/ame01156
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Barbosa AB, 2001, PROG OCEANOGR, V51, P339, DOI 10.1016/S0079-6611(01)00074-X
BARLOW RG, 1982, J EXP MAR BIOL ECOL, V63, P239, DOI 10.1016/0022-0981(82)90181-2
Benner R, 1998, LIMNOL OCEANOGR, V43, P1373, DOI 10.4319/lo.1998.43.6.1373
Bragg L, 2012, NAT METHODS, V9, P425, DOI 10.1038/nmeth.1990
BROWN PC, 1987, S AFR J MARINE SCI, V5, P357, DOI 10.2989/025776187784522801
BROWN PC, 1991, S AFR J MARINE SCI, V11, P537, DOI 10.2989/025776191784287673
Buckley DH, 2001, FEMS MICROBIOL ECOL, V35, P105, DOI 10.1111/j.1574-6941.2001.tb00793.x
Carvalho Wanderson Fernandes de, 2004, Braz. j. oceanogr., V52, P35
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Cuevasa LA, 2004, DEEP-SEA RES PT II, V51, P2427, DOI 10.1016/j.dsr2.2004.07.026
Cury JC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016553
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Fernández-Urruzola I, 2014, J MARINE SYST, V140, P138, DOI 10.1016/j.jmarsys.2014.05.009
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Friedline CJ, 2012, BIOGEOSCIENCES, V9, P2177, DOI 10.5194/bg-9-2177-2012
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2008, AQUAT MICROB ECOL, V53, P21, DOI 10.3354/ame01230
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hansen A, 2014, J MARINE SYST, V140, P130, DOI 10.1016/j.jmarsys.2014.05.003
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Kerkhof LJ, 1999, HYDROBIOLOGIA, V401, P139, DOI 10.1023/A:1003734310515
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Lonborg C, 2011, AQUAT MICROB ECOL, V63, P183, DOI 10.3354/ame01495
MacQueen J., 1967, Probability, P281
Martinez-Garcia M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035314
MCMANUS GB, 1988, MAR ECOL PROG SER, V43, P11, DOI 10.3354/meps043011
Mohrholz V, 2014, J MARINE SYST, V140, P92, DOI 10.1016/j.jmarsys.2014.04.019
MOLONEY CL, 1991, J PLANKTON RES, V13, P1003, DOI 10.1093/plankt/13.5.1003
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nausch M, 2014, J MARINE SYST, V140, P111, DOI 10.1016/j.jmarsys.2014.04.020
NELSON G, 1983, PROG OCEANOGR, V12, P333, DOI 10.1016/0079-6611(83)90013-7
PAINTING SJ, 1989, MAR ECOL PROG SER, V53, P129, DOI 10.3354/meps053129
PAINTING SJ, 1993, MAR ECOL PROG SER, V100, P35, DOI 10.3354/meps100035
PAINTING SJ, 1993, MAR ECOL PROG SER, V100, P55, DOI 10.3354/meps100055
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pitcher GC, 1998, MAR ECOL PROG SER, V172, P253, DOI 10.3354/meps172253
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Shannon LV, 1996, SOUTH ATLANTIC, P163
SHANNON LV, 1986, J MAR RES, V44, P495, DOI 10.1357/002224086788403105
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
SMITH DC, 1995, DEEP-SEA RES PT II, V42, P75, DOI 10.1016/0967-0645(95)00005-B
SOROKIN YI, 1979, HYDROBIOLOGIA, V62, P165, DOI 10.1007/BF00037508
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Teira E, 2009, AQUAT MICROB ECOL, V55, P131, DOI 10.3354/ame01290
VINOGRADOV ME, 1978, MAR BIOL, V48, P357, DOI 10.1007/BF00391640
Weinbauer MG, 2002, APPL ENVIRON MICROB, V68, P1082, DOI 10.1128/AEM.68.3.1082-1087.2002
Wiebinga CJ, 1997, DEEP-SEA RES PT I, V44, P451, DOI 10.1016/S0967-0637(96)00115-X
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Wright ES, 2012, APPL ENVIRON MICROB, V78, P717, DOI 10.1128/AEM.06516-11
Yoon J, 2008, INT J SYST EVOL MICR, V58, P998, DOI 10.1099/ijs.0.65520-0
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
NR 69
TC 16
Z9 17
PD JUN 18
PY 2015
VL 6
AR 621
DI 10.3389/fmicb.2015.00621
UT WOS:000356939700001
DA 2025-07-30
ER
PT J
AU Buchholz, HH
Michelsen, ML
Bolaños, LM
Browne, E
Allen, MJ
Temperton, B
AF Buchholz, Holger H.
Michelsen, Michelle L.
Bolanos, Luis M.
Browne, Emily
Allen, Michael J.
Temperton, Ben
TI Efficient dilution-to-extinction isolation of novel virus-host model
systems for fastidious heterotrophic bacteria
SO ISME JOURNAL
DT Article
AB Microbes and their associated viruses are key drivers of biogeochemical processes in marine and soil biomes. While viruses of phototrophic cyanobacteria are well-represented in model systems, challenges of isolating marine microbial heterotrophs and their viruses have hampered experimental approaches to quantify the importance of viruses in nutrient recycling. A resurgence in cultivation efforts has improved the availability of fastidious bacteria for hypothesis testing, but this has not been matched by similar efforts to cultivate their associated bacteriophages. Here, we describe a high-throughput method for isolating important virus-host systems for fastidious heterotrophic bacteria that couples advances in culturing of hosts with sequential enrichment and isolation of associated phages. Applied to six monthly samples from the Western English Channel, we first isolated one new member of the globally dominant bacterial SAR11 clade and three new members of the methylotrophic bacterial clade OM43. We used these as bait to isolate 117 new phages, including the first known siphophage-infecting SAR11, and the first isolated phage for OM43. Genomic analyses of 13 novel viruses revealed representatives of three new viral genera, and infection assays showed that the viruses infecting SAR11 have ecotype-specific host ranges. Similar to the abundant human-associated phage phi CrAss001, infection dynamics within the majority of isolates suggested either prevalent lysogeny or chronic infection, despite a lack of associated genes, or host phenotypic bistability with lysis putatively maintained within a susceptible subpopulation. Broader representation of important virus-host systems in culture collections and genomic databases will improve both our understanding of virus-host interactions, and accuracy of computational approaches to evaluate ecological patterns from metagenomic data.
C1 [Buchholz, Holger H.; Michelsen, Michelle L.; Bolanos, Luis M.; Browne, Emily; Allen, Michael J.; Temperton, Ben] Univ Exeter, Sch Biosci, Exeter, Devon, England.
[Allen, Michael J.] Plymouth Marine Lab, Plymouth, Devon, England.
RP Temperton, B (corresponding author), Univ Exeter, Sch Biosci, Exeter, Devon, England.
EM b.temperton@exeter.ac.uk
CR Adriaenssens EM, 2020, ARCH VIROL, V165, P1253, DOI 10.1007/s00705-020-04577-8
Ahlgren NA, 2017, NUCLEIC ACIDS RES, V45, P39, DOI 10.1093/nar/gkw1002
Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
Amgarten D, 2018, FRONT GENET, V9, DOI 10.3389/fgene.2018.00304
Bailly-Bechet M, 2007, GENOME RES, V17, P1486, DOI 10.1101/gr.6649807
Bartelme RP, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00024-20
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Brum JR, 2016, ISME J, V10, P437, DOI 10.1038/ismej.2015.125
Brum JR, 2015, NAT REV MICROBIOL, V13, P147, DOI 10.1038/nrmicro3404
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Deng L, 2014, NATURE, V513, P242, DOI 10.1038/nature13459
Enav H, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07164-3
Galiez C, 2017, BIOINFORMATICS, V33, P3113, DOI 10.1093/bioinformatics/btx383
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Gregory AC, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-3286-x
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Hurwitz BL, 2015, ISME J, V9, P472, DOI 10.1038/ismej.2014.143
Ignacio-Espinoza JC, 2020, NAT MICROBIOL, V5, P265, DOI 10.1038/s41564-019-0628-x
Jang HB, 2019, NAT BIOTECHNOL, V37, P632, DOI 10.1038/s41587-019-0100-8
Jover LF, 2014, NAT REV MICROBIOL, V12, P519, DOI 10.1038/nrmicro3289
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Keizo N., 2010, MAVE, V10, P92, DOI DOI 10.4319/MAVE.2010.978-0-9845591-0-7.92
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Lima-Mendez G, 2008, MOL BIOL EVOL, V25, P762, DOI 10.1093/molbev/msn023
Mann NH, 2003, NATURE, V424, P741, DOI 10.1038/424741a
Marston MF, 2016, ENVIRON MICROBIOL, V18, P4240, DOI 10.1111/1462-2920.13556
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Middelboe M, 2006, J MAR BIOL ASSOC UK, V86, P605, DOI 10.1017/S0025315406013518
Middelboe M, 2002, AQUAT MICROB ECOL, V27, P187, DOI 10.3354/ame027187
Mizuno CM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08672-6
Moon K, 2017, ENVIRON MICROBIOL, V19, P4714, DOI 10.1111/1462-2920.13936
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nayfach S, 2020, CHECKV ASSESSING QUA
Neufeld JD, 2008, APPL ENVIRON MICROB, V74, P7321, DOI 10.1128/AEM.01266-08
Olsen NS, 2020, PHAGE-THER APPL RES, V1, P137, DOI 10.1089/phage.2020.0016
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Puxty RJ, 2016, CURR BIOL, V26, P1585, DOI 10.1016/j.cub.2016.04.036
Ramachandran A, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv105
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Ren J, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0283-5
Roux S, 2017, PEERJ, V5, DOI 10.7717/peerj.3817
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Salisbury A, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20143391
Sargeant SL, 2016, MAR ECOL PROG SER, V550, P53, DOI 10.3354/meps11705
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Shkoporov AN, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07225-7
Silveira CB, 2016, NPJ BIOFILMS MICROBI, V2, DOI 10.1038/npjbiofilms.2016.10
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tam W, 2013, J MOL BIOL, V425, P2450, DOI 10.1016/j.jmb.2013.03.032
Taubert M, 2015, ENVIRON MICROBIOL, V17, P3937, DOI 10.1111/1462-2920.12896
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
VANDUIN J, 1981, EUR J BIOCHEM, V118, P615
Warwick-Dugdale J, 2019, PEERJ, V7, DOI 10.7717/peerj.6800
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
Weitz JS, 2019, VIRUS EVOL, V5, DOI 10.1093/ve/vez006
Weitz JS, 2015, ISME J, V9, P1352, DOI 10.1038/ismej.2014.220
Weitz Joshua S, 2012, F1000 Biol Rep, V4, P17
Weitz JS, 2005, P NATL ACAD SCI USA, V102, P9535, DOI 10.1073/pnas.0504062102
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Xu J, 2004, MOL CELL, V16, P11, DOI 10.1016/j.molcel.2004.09.006
Yarza P, 2014, NAT REV MICROBIOL, V12, P635, DOI 10.1038/nrmicro3330
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zhang Z, 2019, NOVEL PELAGIPHAGES P
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 80
TC 28
Z9 31
PD JUN
PY 2021
VL 15
IS 6
BP 1585
EP 1598
DI 10.1038/s41396-020-00872-z
EA JAN 2021
UT WOS:000611448600001
DA 2025-07-30
ER
PT J
AU Luo, Y
Wang, JN
Yang, LY
Gao, T
Pei, RJ
AF Luo, Yu
Wang, Jine
Yang, Luyan
Gao, Tian
Pei, Renjun
TI In vitro selection of DNA aptamers for the development of fluorescent
aptasensor for sarcosine detection
SO SENSORS AND ACTUATORS B-CHEMICAL
DT Article
AB In order to develop a simple, convenient and economic method to detect and quantify the level of sarcosine in human urine samples, we have selected DNA aptamers for sarcosine through a modified affinity chromatography SELEX (Systematic Evolution of Ligands by Exponential Enrichment), which is based on the aptamer sequences bound by the target molecules would be released from the DNA hybridizations coupled on streptavidin-agarose beads. 4 aptamer candidates were obtained after 12 rounds of selection, and their affinities were preliminarily checked by SYBR green I staining. The best of them is Sar11, which with the dissociation constant (K-d) of 134.8 nM was further modified and used to design a fluorescence sensor to quantify sarcosine. The detection limit of sarcosine by this sensor is 55 nM, while its quantitative range is 100 to 2000 nM. Also, the aptamer Sar11 shows good selectivity for sarcosine to its analogues. Moreover, the fluorescent aptasensor obtains a satisfying result for the detection of sarcosine in human urine samples.
C1 [Luo, Yu; Wang, Jine; Yang, Luyan; Gao, Tian; Pei, Renjun] Chinese Acad Sci, CAS Key Lab Nanobio Interface, Suzhou Inst Nanotech & Nanobion, Suzhou 215123, Peoples R China.
[Luo, Yu; Yang, Luyan] Univ Sci & Technol China, Nano Sci & Technol Inst, Suzhou 215123, Peoples R China.
RP Pei, RJ (corresponding author), Chinese Acad Sci, CAS Key Lab Nanobio Interface, Suzhou Inst Nanotech & Nanobion, Suzhou 215123, Peoples R China.
EM rjpei2011@sinano.ac.cn
CR Bae H, 2013, NUCLEIC ACID THER, V23, P443, DOI 10.1089/nat.2013.0437
BELLON G, 1984, J CHROMATOGR, V311, P405, DOI 10.1016/S0378-4347(00)84738-6
Berthias F, 2018, J AM SOC MASS SPECTR, V29, P752, DOI 10.1007/s13361-018-1902-5
Cernei N, 2012, INT J ELECTROCHEM SC, V7, P4286
Chen Y, 2018, SENSOR ACTUAT B-CHEM, V254, P214, DOI 10.1016/j.snb.2017.07.068
Dirks RM, 2003, J COMPUT CHEM, V24, P1664, DOI 10.1002/jcc.10296
ELLINGTON AD, 1990, NATURE, V346, P818, DOI 10.1038/346818a0
Fang BY, 2017, SENSOR ACTUAT B-CHEM, V244, P928, DOI 10.1016/j.snb.2017.01.045
Ferlay J, 2015, INT J CANCER, V136, pE359, DOI 10.1002/ijc.29210
Gebhardt K, 2000, BIOCHEMISTRY-US, V39, P7255, DOI 10.1021/bi000295t
HARADA K, 1995, EMBO J, V14, P5798, DOI 10.1002/j.1460-2075.1995.tb00268.x
He JA, 2011, J AGR FOOD CHEM, V59, P1582, DOI 10.1021/jf104189g
Jiang YQ, 2010, ANAL CHEM, V82, P9022, DOI 10.1021/ac1019914
Karpik AE, 2017, ELECTROANAL, V29, P2246, DOI 10.1002/elan.201700318
Kim CH, 2014, BIOSENS BIOELECTRON, V51, P426, DOI 10.1016/j.bios.2013.08.003
Lan JM, 2014, ANAL CHIM ACTA, V825, P63, DOI 10.1016/j.aca.2014.03.040
Liu JW, 2009, CHEM REV, V109, P1948, DOI 10.1021/cr030183i
Lucarelli G, 2012, PROSTATE, V72, P1611, DOI 10.1002/pros.22514
MacLennan MS, 2018, J CHROMATOGR B, V1074, P79, DOI 10.1016/j.jchromb.2018.01.007
McKeague M, 2014, TOXINS, V6, P2435, DOI 10.3390/toxins6082435
McKeague M, 2010, INT J MOL SCI, V11, P4864, DOI 10.3390/ijms11124864
Mendes TPP, 2017, ANAL METHODS-UK, V9, P6117, DOI 10.1039/c7ay01648d
Meyer TE, 2011, ANAL CHEM, V83, P5735, DOI 10.1021/ac201003r
Nutiu R., 2005, ANGEW CHEM, V117, P1085
Postma R, 2005, EUR J CANCER, V41, P825, DOI 10.1016/j.ejca.2004.12.029
Rajendran M, 2003, NUCLEIC ACIDS RES, V31, P5700, DOI 10.1093/nar/gkg764
Savory N, 2010, BIOSENS BIOELECTRON, V26, P1386, DOI 10.1016/j.bios.2010.07.057
Sreekumar A, 2009, NATURE, V457, P910, DOI 10.1038/nature07762
Travascio P, 1999, CHEM BIOL, V6, P779, DOI 10.1016/S1074-5521(99)80125-2
TUERK C, 1990, SCIENCE, V249, P505, DOI 10.1126/science.2200121
Vianini E, 2001, BIOORGAN MED CHEM, V9, P2543, DOI 10.1016/S0968-0896(01)00054-2
Wang HY, 2017, TALANTA, V168, P217, DOI 10.1016/j.talanta.2017.03.041
Wang HY, 2016, CHEMISTRYSELECT, V1, P1571, DOI 10.1002/slct.201600154
Wang HY, 2016, ANAL METHODS-UK, V8, P8461, DOI 10.1039/c6ay02890j
Wang HY, 2016, TALANTA, V154, P498, DOI 10.1016/j.talanta.2016.04.005
Wang JN, 2017, TALANTA, V175, P235, DOI 10.1016/j.talanta.2017.07.049
Xue ZH, 2017, TALANTA, V167, P666, DOI 10.1016/j.talanta.2017.03.009
Yang XJ, 2011, ANALYST, V136, P577, DOI 10.1039/c0an00550a
Zipper H, 2004, NUCLEIC ACIDS RES, V32, DOI 10.1093/nar/gnh101
NR 39
TC 41
Z9 43
PD DEC 10
PY 2018
VL 276
BP 128
EP 135
DI 10.1016/j.snb.2018.08.105
UT WOS:000444637600018
DA 2025-07-30
ER
PT J
AU Straza, TRA
Kirchman, DL
AF Straza, Tiffany R. A.
Kirchman, David L.
TI Single-cell response of bacterial groups to light and other
environmental factors in the Delaware Bay, USA
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB We examined the incorporation of leucine, protein, and a mixture of 15 amino acids by selected phylogenetic groups in light and dark incubations of coastal waters of the Delaware Bay and Mid-Atlantic Bight. In experiments conducted over 3 yr, the single-cell activity of different groups of bacteria varied with molecular weight of the substrate, photosynthetically active radiation (PAR), and other environmental conditions. The fraction of cells active in using leucine and incorporating protein differed among groups and between summer and fall. About 30% of all cells incorporated the amino acid mixture, while only 10% incorporated protein. PAR availability affected single-cell activity in 20% of all experiments, and PAR conditions prior to sampling correlated with light effects on single-cell activity, varying with the compound (amino acid mixture, leucine or protein). The bacterial group most consistently affected by PAR was the SAR11 clade; 25% more SAR11 bacteria used leucine in the light than the total community. The study illustrates the complex effects of light on single-cell activity of bacterial groups and helps to explain the variability in the impact of light on dissolved organic carbon fluxes.
C1 [Straza, Tiffany R. A.; Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, 700 Pilottown Rd, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
Alonso-Sáez L, 2009, J PLANKTON RES, V31, P1373, DOI 10.1093/plankt/fbp081
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
BENNER R, 1993, MAR CHEM, V41, P153, DOI 10.1016/0304-4203(93)90113-3
Campbell BJ, 2009, AQUAT MICROB ECOL, V57, P123, DOI 10.3354/ame01335
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Church MJ, 2004, APPL ENVIRON MICROB, V70, P4079, DOI 10.1128/AEM.70.7.4079-4087.2004
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
Henriques IS, 2006, ESTUAR COAST SHELF S, V68, P139, DOI 10.1016/j.ecss.2006.01.015
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kirchman DL, 2009, DEEP-SEA RES PT II, V56, P1237, DOI 10.1016/j.dsr2.2008.10.018
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
Longnecker K, 2006, AQUAT MICROB ECOL, V42, P265, DOI 10.3354/ame042265
Longnecker K, 2010, AQUAT MICROB ECOL, V58, P153, DOI 10.3354/ame01366
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Morán XAG, 2001, APPL ENVIRON MICROB, V67, P3795, DOI 10.1128/AEM.67.9.3795-3801.2001
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Nagata T, 1998, AQUAT MICROB ECOL, V14, P29, DOI 10.3354/ame014029
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
PENNOCK JR, 1986, MAR ECOL PROG SER, V34, P143, DOI 10.3354/meps034143
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
SHARP JH, 1995, MAR CHEM, V48, P91, DOI 10.1016/0304-4203(94)00040-K
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Smith EM, 2003, AQUAT MICROB ECOL, V31, P203, DOI 10.3354/ame031203
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Weinbauer MG, 1996, APPL ENVIRON MICROB, V62, P4374, DOI 10.1128/AEM.62.12.4374-4380.1996
NR 64
TC 15
Z9 17
PY 2011
VL 62
IS 3
BP 267
EP U81
DI 10.3354/ame01469
UT WOS:000287203900005
DA 2025-07-30
ER
PT J
AU Bano, N
Hollibaugh, JT
AF Bano, N
Hollibaugh, JT
TI Phylogenetic composition of bacterioplankton assemblages from the Arctic
Ocean
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We analyzed the phylogenetic composition of bacterioplankton assemblages in 11 Arctic Ocean samples collected over three seasons (winter-spring 1995, summer 1996, and summer-fall 1997) by sequencing cloned fragments of 16S rRNA genes. The sequencing effort was directed by denaturing gradient gel electrophoresis (DGGE) screening of samples and the clone libraries. Sequences of 88 clones fell into seven major lineages of the domain Bacteria: alpha (36%)-, gamma (32%)-, delta (14%)-, and epsilon (1%)-Proteobacteria; Cytophaga-Flexibacter-Bacteroides spp. (9%); Verrucomicrobium spp. (6%); and green nonsulfur bacteria (2%). A total of 34% of the cloned sequences (excluding clones in the SAR11 and Roseobacter groups) had sequence similarities that were <94% compared to previously reported sequences, indicating the presence of novel sequences. DGGE fingerprints of the selected samples showed that most of the bands were common to all samples in all three seasons. However, additional bands representing sequences related to Cytophaga and Polaribacter species were found in samples collected during the summer and fall. Of the clones in a library generated from one sample collected in spring of 1995, 50% were the same and were most closely affiliated (99% similarity) with Alteromonas macleodii, while 50% of the clones in another sample were most closely affiliated (90 to 96% similarity) with Oceanospirillum sp. The majority of the cloned sequences were most closely related to uncultured, environmental sequences. Prominent among these were members of the SAR11 group. Differences between mixed-layer and halocline samples were apparent in DGGE fingerprints and clone libraries. Sequences related to alpha-Proteobacteria (dominated by SAR11) were abundant (52%) in samples from the mixed layer, while sequences related to gamma-proteobacteria were more abundant (44%) in halocline samples. Two bands corresponding to sequences related to SAR307 (common in deep water) and the high-G+C gram-positive bacteria were characteristic of the halocline samples.
C1 Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM aquadoc@uga.edu
CR AAGAARD K, 1985, J GEOPHYS RES-OCEANS, V90, P4833, DOI 10.1029/JC090iC03p04833
AAGAARD K, 1981, DEEP-SEA RES, V28, P529, DOI 10.1016/0198-0149(81)90115-1
Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Bano N, 2000, APPL ENVIRON MICROB, V66, P1960, DOI 10.1128/AEM.66.5.1960-1969.2000
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bowman JP, 1997, ANTARCT SCI, V9, P134, DOI 10.1017/S0954102097000175
Brinkhoff T, 1999, APPL ENVIRON MICROB, V65, P3843
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
BROSIUS J, 1978, P NATL ACAD SCI USA, V75, P4801, DOI 10.1073/pnas.75.10.4801
Bruns A, 1999, INT J SYST BACTERIOL, V49, P441, DOI 10.1099/00207713-49-2-441
Dahllöf I, 2000, APPL ENVIRON MICROB, V66, P3376, DOI 10.1128/AEM.66.8.3376-3380.2000
DeLong EE, 2001, SYST BIOL, V50, P470, DOI 10.1080/10635150118513
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Felsenstein Joseph, 1993, PHYLIP (Phylogeny Inference Package) version 3.5c
Ferrari VC, 1999, HYDROBIOLOGIA, V401, P55, DOI 10.1023/A:1003773907789
FERRARI VC, 1997, THESIS SAN FRANCISCO
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gosink JJ, 1998, INT J SYST BACTERIOL, V48, P223, DOI 10.1099/00207713-48-1-223
GOSINK JJ, 1995, APPL ENVIRON MICROB, V61, P3486, DOI 10.1128/AEM.61.9.3486-3489.1995
GOSINK JJ, 1993, FEMS MICROBIOL ECOL, V102, P85, DOI 10.1111/j.1574-6968.1993.tb05799.x
Gosink JJ, 1997, SYST APPL MICROBIOL, V20, P356, DOI 10.1016/S0723-2020(97)80003-3
KUMAR N, 1995, NATURE, V378, P675, DOI 10.1038/378675a0
LEE SH, 1991, LIMNOL OCEANOGR, V36, P1277, DOI 10.4319/lo.1991.36.7.1277
Li LN, 1999, BIODIVERS CONSERV, V8, P659, DOI 10.1023/A:1008848203739
Martin JH, 1990, PALEOCEANOGRAPHY, V5, P1, DOI 10.1029/PA005i001p00001
Martinez JL, 2000, MOL ECOL, V9, P293, DOI 10.1046/j.1365-294x.2000.00857.x
Massana R, 1998, LIMNOL OCEANOGR, V43, P607, DOI 10.4319/lo.1998.43.4.0607
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Murray AE, 1999, AQUAT MICROB ECOL, V18, P263, DOI 10.3354/ame018263
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
MYERS RM, 1985, NUCLEIC ACIDS RES, V13, P3131, DOI 10.1093/nar/13.9.3131
Opsahl S, 1999, LIMNOL OCEANOGR, V44, P2017, DOI 10.4319/lo.1999.44.8.2017
PAABO S, 1988, NATURE, V334, P387, DOI 10.1038/334387b0
PAUL JH, 1982, APPL ENVIRON MICROB, V43, P1393, DOI 10.1128/AEM.43.6.1393-1399.1982
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pinhassi J, 1999, AQUAT MICROB ECOL, V17, P13, DOI 10.3354/ame017013
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Ravenschlag K, 1999, APPL ENVIRON MICROB, V65, P3982
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schäfer H, 2000, ARCH MICROBIOL, V173, P138, DOI 10.1007/s002039900121
SCHOPF TJM, 1980, PALEOOCEANOGRAPHY
Speksnijder AGCL, 2001, APPL ENVIRON MICROB, V67, P469, DOI 10.1128/AEM.67.1.469-472.2001
Staley JT, 1999, ASM NEWS, V65, P681
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
TESKE A, 1994, J BACTERIOL, V176, P6623, DOI 10.1128/JB.176.21.6623-6630.1994
Venkateswaran K, 1999, INT J SYST BACTERIOL, V49, P705, DOI 10.1099/00207713-49-2-705
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
WALSBY AE, 1994, MICROBIOL REV, V58, P94, DOI 10.1128/MMBR.58.1.94-144.1994
Watson AJ, 2000, NATURE, V407, P730, DOI 10.1038/35037561
WAYNE LG, 1987, INT J SYST BACTERIOL, V37, P463, DOI 10.1099/00207713-37-4-463
Wheeler PA, 1996, NATURE, V380, P697, DOI 10.1038/380697a0
Wheeler PA, 1997, DEEP-SEA RES PT II, V44, P1571, DOI 10.1016/S0967-0645(97)00051-9
Worthington L V., 1968, Meteorological Monographs, V8, P63
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Yager PL, 1999, LIMNOL OCEANOGR, V44, P1882, DOI 10.4319/lo.1999.44.8.1882
Yakimov MM, 1998, INT J SYST BACTERIOL, V48, P339, DOI 10.1099/00207713-48-2-339
ZIEGLER P.A., 1988, Evolution of the Arctic-North Atlantic and the Western Tethys, V43
NR 66
TC 259
Z9 308
PD FEB
PY 2002
VL 68
IS 2
BP 505
EP 518
DI 10.1128/AEM.68.2.505-518.2002
UT WOS:000173588600008
DA 2025-07-30
ER
PT J
AU Zha, H
Xia, JF
Li, SJ
Lv, JW
Zhuge, AX
Tang, RQ
Wang, ST
Wang, KC
Chang, KV
Li, LJ
AF Zha, Hua
Xia, Jiafeng
Li, Shengjie
Lv, Jiawen
Zhuge, Aoxiang
Tang, Ruiqi
Wang, Shuting
Wang, Kaiceng
Chang, Kevin
Li, Lanjuan
TI Airborne polystyrene microplastics and nanoplastics induce nasal and
lung microbial dysbiosis in mice
SO CHEMOSPHERE
DT Article
AB Microplastics (MP) and nanoplastics (NP) have been found in multiple environments and creatures. However, their effects on the airway microbiota still remain poorly understood. In this study, a series of bioinformatic and statistical analyses were carried out to explore the influence of airborne MP and NP on the nasal and lung microbiota in mice. Both MP and NP were capable of inducing nasal microbial dysbiosis, and MP had a stronger influence on the lung microbiota than NP. Multiple nasal and lung bacteria were associated with MP and NP groups, among which nasal Staphylococcus and lung Roseburia were most associated with MP group, while nasal Prevotella and lung unclassified_Muribaculaceae were most associated with NP group. The nasal Staphylococcus, lung Roseburia, lung Eggerthella and lung Corynebacterium were associated with both MP and NP groups, which were potential biomarkers of micro/nanoplastics-induced airway dysbiosis. SAR11_Clade_Ia and SAR11_Clade_II were associated with both nasal and lung microbiota in MP group, while no such bacterium was determined in NP group. The relevant results suggest that both airborne MP and NP could induce nasal and lung microbial dysbiosis, and the relevant preventative and curable strategies deserve further investigations.
C1 [Zha, Hua; Xia, Jiafeng; Li, Shengjie; Lv, Jiawen; Zhuge, Aoxiang; Tang, Ruiqi; Wang, Shuting; Wang, Kaiceng; Li, Lanjuan] Zhejiang Univ, Affiliated Hosp 1, Collaborat Innovat Ctr Diag & Treatment Infect Dis, Sch Med,Natl Clin Res Ctr Infect Dis,State Key Lab, Hangzhou, Peoples R China.
[Chang, Kevin] Univ Auckland, Dept Stat, Auckland, New Zealand.
[Li, Lanjuan] Zhejiang Univ, Affiliated Hosp 1, Collaborat Innovat Ctr Diag & Treatment Infect Dis, Sch Med,Natl Clin Res Ctr Infect Dis,State Key Lab, 79 Qingchun Rd, Hangzhou 310000, Peoples R China.
RP Li, LJ (corresponding author), Zhejiang Univ, Affiliated Hosp 1, Collaborat Innovat Ctr Diag & Treatment Infect Dis, Sch Med,Natl Clin Res Ctr Infect Dis,State Key Lab, 79 Qingchun Rd, Hangzhou 310000, Peoples R China.
EM ljli@zju.edu.cn
CR Alimi OS, 2018, ENVIRON SCI TECHNOL, V52, P1704, DOI 10.1021/acs.est.7b05559
Amato-Lourenço LF, 2021, J HAZARD MATER, V416, DOI 10.1016/j.jhazmat.2021.126124
Amato-Lourenço LF, 2020, SCI TOTAL ENVIRON, V749, DOI 10.1016/j.scitotenv.2020.141676
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chiu CY, 2019, PEDIAT ALLERG IMM-UK, V30, P689, DOI 10.1111/pai.13096
Cole M, 2015, ENVIRON SCI TECHNOL, V49, P14625, DOI 10.1021/acs.est.5b04099
Douglas GM, 2020, NAT BIOTECHNOL, V38, P685, DOI 10.1038/s41587-020-0548-6
Dueholm MS, 2020, MBIO, V11, DOI 10.1128/mBio.01557-20
Field TR, 2010, ANAEROBE, V16, P337, DOI 10.1016/j.anaerobe.2010.04.002
Fuentes S, 2021, LANCET HEALTH LONGEV, V2, pE13, DOI 10.1016/S2666-7568(20)30034-9
Guo XT, 2022, J HAZARD MATER, V434, DOI 10.1016/j.jhazmat.2022.128874
Hao L, 2015, J POWER SOURCES, V287, P43, DOI 10.1016/j.jpowsour.2015.04.045
Huang DJ, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.155937
Huang JN, 2022, J HAZARD MATER, V421, DOI 10.1016/j.jhazmat.2021.126830
Ibrahim YS, 2021, JGH OPEN, V5, P116, DOI 10.1002/jgh3.12457
Ji YX, 2021, J HAZARD MATER, V406, DOI 10.1016/j.jhazmat.2020.124306
Ji YX, 2020, ENVIRON SCI-NANO, V7, P2313, DOI [10.1039/d0en00464b, 10.1039/D0EN00464B]
Jian HF, 2021, OXID MED CELL LONGEV, V2021, DOI 10.1155/2021/4704771
Jiang XW, 2020, WORLD J GASTROENTERO, V26, P6224, DOI 10.3748/wjg.v26.i40.6224
Jin YX, 2019, SCI TOTAL ENVIRON, V649, P308, DOI 10.1016/j.scitotenv.2018.08.353
Kang HM, 2021, J HAZARD MATER, V405, DOI 10.1016/j.jhazmat.2020.124207
Kelly JJ, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244443
Kolda A, 2020, ECOL INDIC, V118, DOI 10.1016/j.ecolind.2020.106785
Liao M., 2022, AM J CHINESE MED, P1
Littman RA, 2020, SCI TOTAL ENVIRON, V736, DOI 10.1016/j.scitotenv.2020.139081
Liu JL, 2020, FOOD FUNCT, V11, P5308, DOI 10.1039/c9fo03007g
Lu K, 2021, J HAZARD MATER, V416, DOI 10.1016/j.jhazmat.2021.126069
Lu L, 2018, SCI TOTAL ENVIRON, V631-632, P449, DOI 10.1016/j.scitotenv.2018.03.051
Mackenzie BW, 2017, ENVIRON MICROBIOL, V19, P381, DOI 10.1111/1462-2920.13632
Martina F, 2019, RESP MED, V155, P66, DOI 10.1016/j.rmed.2019.07.008
MOULIN GCD, 1979, J CLIN MICROBIOL, V10, P155, DOI 10.1128/JCM.10.2.155-160.1979
Mousavi SE, 2022, SCI TOTAL ENVIRON, V816, DOI 10.1016/j.scitotenv.2021.151654
Murano C., 2021, FRONT MAR SCI, V8, P234
Naidoo CC, 2021, EBIOMEDICINE, V67, DOI 10.1016/j.ebiom.2021.103374
Ng EL, 2018, SCI TOTAL ENVIRON, V627, P1377, DOI 10.1016/j.scitotenv.2018.01.341
Nguyen B, 2019, ACCOUNTS CHEM RES, V52, P858, DOI 10.1021/acs.accounts.8b00602
Qiao JY, 2021, NANOSCALE, V13, P8806, DOI 10.1039/d1nr00038a
Ragusa A, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106274
Savini Vincenzo, 2012, Recent Pat Antiinfect Drug Discov, V7, P36
Sridharan S, 2021, J HAZARD MATER, V418, DOI 10.1016/j.jhazmat.2021.126245
Su YL, 2021, ENVIRON POLLUT, V270, DOI 10.1016/j.envpol.2020.116278
Sun HQ, 2021, ECOTOX ENVIRON SAFE, V220, DOI 10.1016/j.ecoenv.2021.112340
Suzuki R, 2022, FEBS OPEN BIO, V12, P638, DOI 10.1002/2211-5463.13369
Tamayo-Leiva J, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.611981
Teng MM, 2022, ACS NANO, V16, P8190, DOI 10.1021/acsnano.2c01872
Thorsen J, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12989-7
Wang HT, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150279
Wang YL, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21051727
Xiao L, 2016, ONCOTARGET, V7, P81197, DOI 10.18632/oncotarget.12797
Xie SL, 2021, B ENVIRON CONTAM TOX, V107, P640, DOI 10.1007/s00128-021-03348-8
Xu CY, 2020, J HAZARD MATER, V400, DOI 10.1016/j.jhazmat.2020.123228
Xu S, 2022, ACS NANO, V16, P405, DOI 10.1021/acsnano.1c07133
Xue YF, 2020, TOXICOL LETT, V334, P14, DOI 10.1016/j.toxlet.2020.09.007
Yin K, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145758
Yin LS, 2021, ENVIRON POLLUT, V290, DOI 10.1016/j.envpol.2021.117999
Yu F, 2019, SCI TOTAL ENVIRON, V694, DOI 10.1016/j.scitotenv.2019.133643
Yu JS, 2021, CLIN TRANSL MED, V11, DOI 10.1002/ctm2.634
Zha H, 2023, J HAZARD MATER, V441, DOI 10.1016/j.jhazmat.2022.129903
NR 59
TC 44
Z9 49
PD JAN
PY 2023
VL 310
AR 136764
DI 10.1016/j.chemosphere.2022.136764
EA OCT 2022
UT WOS:000937987500001
DA 2025-07-30
ER
PT J
AU Ortmann, AC
Santos, TTL
AF Ortmann, Alice C.
Santos, Thays T. L.
TI Spatial and temporal patterns in the Pelagibacteraceae across an
estuarine gradient
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Marine bacterial communities show strong spatial and seasonal patterns, often characterized by changes at high taxonomic levels. The Pelagibacteraceae are common members of bacterial communities, with well-documented biogeography at the subclade level. To identify patterns within the subclades, the abundance and diversity of Pelagibacteraceae were analyzed over a two-year period at four stations across an estuarine gradient. Pelagibacteraceae was the most abundant bacterial family, averaging 27% of the community, but varying from 1% to 57% in any one sample. Highest abundances were detected in autumn and winter. Pelagibacteraceae richness was lowest at the most inshore site, and highest in autumn and winter at all sites. Shannon diversity decreased in winter, when a few OTUs dominated the community. Dissolved oxygen, dissolved silicate and prokaryote abundance explained most of the variability in the Pelagibacteraceae communities, with salinity differentiating low salinity communities. The 10 most abundant OTUs included OTUs that varied across sites, with little seasonality as well as those with small site effects, but strong seasonal patterns indicating differences in the niches of individual OTUs. While salinity was important in structuring low salinity communities, higher salinity communities appear to be responding to additional environmental parameters including oxygen, nutrients and other organisms.Closely related Pelagibacteraceae OTUs vary spatially and temporally across an estuary due to differences in salinity as well as oxygen, nutrients and the abundance of other organisms.Closely related Pelagibacteraceae OTUs vary spatially and temporally across an estuary due to differences in salinity as well as oxygen, nutrients and the abundance of other organisms.
C1 [Ortmann, Alice C.] Univ S Alabama, Dept Marine Sci, Mobile, AL 36688 USA.
[Ortmann, Alice C.] Dauphin Isl Sea Lab, Dauphin Isl, AL 36528 USA.
[Santos, Thays T. L.] Univ Fed Maranhao, Dept Oceanog & Limnol, BR-65080805 Sao Luis, MA, Brazil.
[Santos, Thays T. L.] Univ Maine, Sch Marine Sci, Orono, ME 04469 USA.
RP Ortmann, AC (corresponding author), Bedford Inst Oceanog, Ctr Offshore Oil Gas & Energy Res, Dept Fisheries & Ocean Canada, Dartmouth, NS B2Y 4A2, Canada.
EM ortmannalice@gmail.com
CR Bokulich NA, 2013, NAT METHODS, V10, P57, DOI [10.1038/NMETH.2276, 10.1038/nmeth.2276]
Brannock PM, 2016, MOL ECOL, V25, P3593, DOI 10.1111/mec.13709
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Elifantz H, 2013, FEMS MICROBIOL ECOL, V85, P348, DOI 10.1111/1574-6941.12122
Garcia JC, 2015, ANTON LEEUW INT J G, V107, P613, DOI 10.1007/s10482-014-0357-3
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Lindh MV, 2015, AMBIO, V44, pS402, DOI 10.1007/s13280-015-0659-3
Lindh MV, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00223
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Meziti A, 2015, SYST APPL MICROBIOL, V38, P358, DOI 10.1016/j.syapm.2015.04.003
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Ortell N, 2014, AQUAT MICROB ECOL, V72, P63, DOI 10.3354/ame01685
Ortmann AC, 2014, FEMS MICROBIOL ECOL, V87, P291, DOI 10.1111/1574-6941.12225
Ortmann AC, 2011, AQUAT MICROB ECOL, V65, P143, DOI 10.3354/ame01544
Piwosz K, 2013, LIMNOL OCEANOGR, V58, P817, DOI 10.4319/lo.2013.58.3.0817
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schroeder W.W., 1999, Biochemistry of Gulf of Mexico estuaries, P3
Silovic T, 2012, FEMS MICROBIOL ECOL, V82, P678, DOI 10.1111/j.1574-6941.2012.01438.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
NR 36
TC 20
Z9 21
PD SEP
PY 2016
VL 92
IS 9
AR fiw133
DI 10.1093/femsec/fiw133
UT WOS:000383898400008
DA 2025-07-30
ER
PT J
AU Henson, MW
Lanclos, VC
Pitre, DM
Weckhorst, JL
Lucchesi, AM
Cheng, CK
Ben Temperton
Thrash, JC
AF Henson, Michael W.
Lanclos, V. Celeste
Pitre, David M.
Weckhorst, Jessica Lee
Lucchesi, Anna M.
Cheng, Chuankai
Ben Temperton
Thrash, J. Cameron
TI Expanding the Diversity of Bacterioplankton Isolates and Modeling
Isolation Efficacy with Large-Scale Dilution-to-Extinction Cultivation
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Cultivated bacterioplankton representatives from diverse lineages and locations are essential for microbiology, but the large majority of taxa either remain uncultivated or lack isolates from diverse geographic locales. We paired large-scale dilution-to-extinction (DTE) cultivation with microbial community analysis and modeling to expand the phylogenetic and geographic diversity of cultivated bacterioplankton and to evaluate DTE cultivation success. Here, we report results from 17 DTE experiments totaling 7,820 individual incubations over 3 years, yielding 328 repeatably transferable isolates. Comparison of isolates to microbial community data for source waters indicated that we successfully isolated 5% of the observed bacterioplankton community throughout the study; 43% and 26% of our isolates matched operational taxonomic units and amplicon single-nucleotide variants, respectively, within the top 50 most abundant taxa. Isolates included those from previously uncultivated clades such as SAR 1 LD12 and Actinobacteria aclV, as well as geographically novel members from other ecologically important groups like SAR11 subclade IIla, SAR116, and others, providing isolates in eight putatively new genera and seven putatively new species. Using a newly developed DTE cultivation model, we evaluated taxon viability by comparing relative abundance with cultivation success. The model (i) revealed the minimum attempts required for successful isolation of taxa amenable to growth on our media and (ii) identified possible subpopulation viability variation in abundant taxa such as SAR11 that likely impacts cultivation success. By incorporating viability in experimental design, we can now statistically constrain the effort necessary for successful cultivation of specific taxa on a defined medium.
IMPORTANCE Even before the coining of the term "great plate count anomaly" in the 1980s, scientists had noted the discrepancy between the number of microorganisms observed under the microscope and the number of colonies that grew on traditional agar media. New cultivation approaches have reduced this disparity, resulting in the isolation of some of the "most wanted" bacterial lineages. Nevertheless, the vast majority of microorganisms remain uncultured, hampering progress toward answering fundamental biological questions about many important microorganisms. Furthermore, few studies have evaluated the underlying factors influencing cultivation success, limiting our ability to improve cultivation efficacy. Our work details the use of dilution-to-extinction (DTE) cultivation to expand the phylogenetic and geographic diversity of available axenic cultures. We also provide a new model of the DTE approach that uses cultivation results and natural abundance information to predict taxon-specific viability and iteratively constrain DTE experimental design to improve cultivation success.
C1 [Henson, Michael W.; Lanclos, V. Celeste; Cheng, Chuankai; Thrash, J. Cameron] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
[Pitre, David M.; Weckhorst, Jessica Lee; Lucchesi, Anna M.] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
[Ben Temperton] Univ Exeter, Sch Biosci, Exeter, Devon, England.
[Henson, Michael W.] Univ Chicago, Dept Geol Sci, Chicago, IL 60637 USA.
[Weckhorst, Jessica Lee] Baylor Coll Med, Quantitat & Computat Biosci Program, Houston, TX 77030 USA.
RP Thrash, JC (corresponding author), Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.; Ben Temperton (corresponding author), Univ Exeter, Sch Biosci, Exeter, Devon, England.
EM b.temperton@exeter.ac.uk; thrash@usc.edu
CR Acinas SG, 2004, J BACTERIOL, V186, P2629, DOI 10.1128/JB.186.9.2629-2635.2004
Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
[Anonymous], 2017, R: A language and environment for statistical computing
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Asher EC, 2017, LIMNOL OCEANOGR, V62, P104, DOI 10.1002/lno.10379
Bergkessel M, 2016, NAT REV MICROBIOL, V14, P549, DOI 10.1038/nrmicro.2016.107
Bertozzi Silva J, 2016, FEMS MICROBIOL LETT, V363, DOI 10.1093/femsle/fnw002
Bradley JA, 2019, GEOBIOLOGY, V17, P43, DOI 10.1111/gbi.12313
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00092-19
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chapman-McQuiston E, 2008, BIOPHYS J, V94, P4525, DOI 10.1529/biophysj.107.120212
Chen LX, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00410-19
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cole JR, 2014, NUCLEIC ACIDS RES, V42, pD633, DOI 10.1093/nar/gkt1244
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
D'Onofrio A, 2010, CHEM BIOL, V17, P254, DOI 10.1016/j.chembiol.2010.02.010
Daims H, 2015, NATURE, V528, P504, DOI 10.1038/nature16461
del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, V2nd
Hoang DT, 2018, MOL BIOL EVOL, V35, P518, DOI 10.1093/molbev/msx281
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Epstein SS, 2013, CURR OPIN MICROBIOL, V16, P636, DOI 10.1016/j.mib.2013.08.003
Eren AM, 2014, P NATL ACAD SCI USA, V111, pE2875, DOI 10.1073/pnas.1409644111
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fujimoto M, 2016, J GREAT LAKES RES, V42, P1036, DOI 10.1016/j.jglr.2016.07.029
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Grant SR, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00218-18
Grassi L, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01917
Hahn MW, 2019, ADV ENV MICROBIOLOGY, V7, P313, DOI 10.1007/978-3-030-16775-2_10
Hahn MW, 2004, J MICROBIOL METH, V57, P379, DOI 10.1016/j.mimet.2004.02.004
Hahnke RL, 2015, ENVIRON MICROBIOL, V17, P3515, DOI 10.1111/1462-2920.12479
Han MV, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-356
Henson MW, 2018, LIMNOL OCEANOGR, V63, P1837, DOI 10.1002/lno.10811
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00124-16
Hug LA, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00185-18
Huggett MJ, 2012, STAND GENOMIC SCI, V6, P11, DOI 10.4056/sigs.2305090
Jensen PR, 2007, APPL ENVIRON MICROB, V73, P1146, DOI 10.1128/AEM.01891-06
Junier T, 2010, BIOINFORMATICS, V26, P1669, DOI 10.1093/bioinformatics/btq243
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Kamennaya NA, 2011, APPL ENVIRON MICROB, V77, P291, DOI 10.1128/AEM.01272-10
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
Kell DB, 2000, CURR OPIN MICROBIOL, V3, P238, DOI 10.1016/S1369-5274(00)00082-5
Kell Douglas, 2015, F1000Res, V4, P179, DOI 10.12688/f1000research.6709.1
Kim S, 2019, ISME J, V13, P2252, DOI 10.1038/s41396-019-0432-x
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kitzinger K, 2019, NAT MICROBIOL, V4, P234, DOI 10.1038/s41564-018-0316-2
Kurm V, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0210073
Kussell E, 2005, SCIENCE, V309, P2075, DOI 10.1126/science.1114383
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Lam KS, 2006, CURR OPIN MICROBIOL, V9, P245, DOI 10.1016/j.mib.2006.03.004
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Lee J, 2019, J MICROBIOL, V57, P676, DOI 10.1007/s12275-019-9001-2
Leizeaga A, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02360
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
Ling LL, 2015, NATURE, V517, P455, DOI 10.1038/nature14098
Lloyd KG, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00055-18
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martiny AC, 2019, ISME J, V13, P2125, DOI 10.1038/s41396-019-0410-3
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Metcalf WW, 2012, SCIENCE, V337, P1104, DOI 10.1126/science.1219875
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nett M, 2006, ANGEW CHEM INT EDIT, V45, P3863, DOI 10.1002/anie.200504525
Nichols D, 2008, APPL ENVIRON MICROB, V74, P4889, DOI 10.1128/AEM.00393-08
Nichols D, 2010, APPL ENVIRON MICROB, V76, P2445, DOI 10.1128/AEM.01754-09
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Overmann J, 2017, ANNU REV MICROBIOL, V71, P711, DOI 10.1146/annurev-micro-090816-093449
Page KA, 2004, APPL ENVIRON MICROB, V70, P6542, DOI 10.1128/AEM.70.11.6542-6550.2004
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Piwosz K, 2013, LIMNOL OCEANOGR, V58, P817, DOI 10.4319/lo.2013.58.3.0817
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2013, CURR OPIN MICROBIOL, V16, P618, DOI 10.1016/j.mib.2013.09.009
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Repeta DJ, 2016, NAT GEOSCI, V9, P884, DOI [10.1038/NGEO2837, 10.1038/ngeo2837]
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Samo TJ, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00048
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Shah D, 2006, BMC MICROBIOL, V6, DOI 10.1186/1471-2180-6-53
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Shkoporov AN, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07225-7
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smriga S, 2014, AQUAT MICROB ECOL, V72, P269, DOI 10.3354/ame01698
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Sosa OA, 2015, ISME J, V9, P2725, DOI 10.1038/ismej.2015.68
Spietz RL, 2019, ENVIRON MICROBIOL, V21, P2391, DOI 10.1111/1462-2920.14623
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Steen AD, 2019, ISME J, V13, P3126, DOI 10.1038/s41396-019-0484-y
Stein LY, 2015, NATURE, V524, P43, DOI 10.1038/nature14639
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Steinert G, 2014, MAR BIOTECHNOL, V16, P594, DOI 10.1007/s10126-014-9575-y
Stewart EJ, 2012, J BACTERIOL, V194, P4151, DOI 10.1128/JB.00345-12
Stingl U, 2008, MICROB ECOL, V55, P395, DOI 10.1007/s00248-007-9284-4
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stough JMA, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0184146
Tandogan N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101429
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thrash JC, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00130-19
Thrash JC, 2017, HYDROCARBON LIPID MI, P57
Thume K, 2018, NATURE, V563, P412, DOI 10.1038/s41586-018-0675-0
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
van Vliet S, 2018, CELL SYST, V6, P496, DOI 10.1016/j.cels.2018.03.009
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Widner B, 2017, LIMNOL OCEANOGR, V62, P2538, DOI 10.1002/lno.10588
Widner B, 2016, ENVIRON SCI TECH LET, V3, P297, DOI 10.1021/acs.estlett.6b00165
Williamson SJ, 2002, APPL ENVIRON MICROB, V68, P4307, DOI 10.1128/AEM.68.9.4307-4314.2002
Yang SJ, 2016, MICROB ECOL, V71, P29, DOI 10.1007/s00248-015-0695-3
Yu ZC, 2015, ISME J, V9, P871, DOI 10.1038/ismej.2014.185
Zengler K, 2002, P NATL ACAD SCI USA, V99, P15681, DOI 10.1073/pnas.252630999
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 140
TC 33
Z9 41
PD SEP
PY 2020
VL 86
IS 17
AR e00943-20
DI 10.1128/AEM.00943-20
UT WOS:000566697600011
DA 2025-07-30
ER
PT J
AU Mishra, A
Mcnichol, J
Fuhrman, J
Blei, D
Mueller, CL
AF Mishra, Aditya
Mcnichol, Jesse
Fuhrman, Jed
Blei, David
Mueller, Christian L.
TI Variational inference for microbiome survey data with application to
global ocean data
SO ISME COMMUNICATIONS
DT Article
AB Linking sequence-derived microbial taxa abundances to host (patho-)physiology or habitat characteristics in a reproducible and interpretable manner has remained a formidable challenge for the analysis of microbiome survey data. Here, we introduce a flexible probabilistic modeling framework, VI-MIDAS (variational inference for microbiome survey data analysis), that enables joint estimation of context-dependent drivers and broad patterns of associations of microbial taxon abundances from microbiome survey data. VI-MIDAS comprises mechanisms for direct coupling of taxon abundances with covariates and taxa-specific latent coupling, which can incorporate spatio-temporal information and taxon-taxon interactions. We leverage mean-field variational inference for posterior VI-MIDAS model parameter estimation and illustrate model building and analysis using Tara Ocean Expedition survey data. Using VI-MIDAS' latent embedding model and tools from network analysis, we show that marine microbial communities can be broadly categorized into five modules, including SAR11-, nitrosopumilus-, and alteromondales-dominated communities, each associated with specific environmental and spatiotemporal signatures. VI-MIDAS also finds evidence for largely positive taxon-taxon associations in SAR11 or Rhodospirillales clades, and negative associations with Alteromonadales and Flavobacteriales classes. Our results indicate that VI-MIDAS provides a powerful integrative statistical analysis framework for discovering broad patterns of associations between microbial taxa and context-specific covariate data from microbiome survey data.
C1 [Mishra, Aditya] Univ Georgia, Dept Stat, Athens, GA 30606 USA.
[Mcnichol, Jesse] St Francis Xavier Univ, Dept Biol, Antigonish, NS B2G 2W5, Canada.
[Mcnichol, Jesse; Fuhrman, Jed] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
[Blei, David; Mueller, Christian L.] Flatiron Inst, Ctr Computat Math, New York, NY 10010 USA.
[Blei, David] Columbia Univ, Dept Stat & Comp Sci, New York, NY 10027 USA.
[Mueller, Christian L.] Helmholtz Zentrum Munchen, Computat Hlth Ctr, D-85764 Munich, Germany.
[Mueller, Christian L.] LMU Munchen, Dept Stat, D-80539 Munich, Germany.
RP Mishra, A (corresponding author), Univ Georgia, Dept Stat, Athens, GA 30606 USA.
EM aditya.mishra@uga.edu
CR Aitchison J., 2003, STAT ANAL COMPOSITIO
Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Ashkezari MD, 2021, LIMNOL OCEANOGR-METH, V19, P488, DOI 10.1002/lom3.10439
Baskaran V, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-62183-9
Bien J, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-93645-3
Blei DM, 2017, J AM STAT ASSOC, V112, P859, DOI 10.1080/01621459.2017.1285773
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Callahan Ben J, 2016, F1000Res, V5, P1492
Cameron A. C., 2013, Regression analysis of count data, DOI [10.1017/CBO9781139013567, DOI 10.1017/CBO9781139013567]
Carpenter B, 2017, J STAT SOFTW, V76, P1, DOI 10.18637/jss.v076.i01
Chen J, 2013, ANN APPL STAT, V7, P418, DOI 10.1214/12-AOAS592
Chiquet J, 2018, ANN APPL STAT, V12, P2674, DOI 10.1214/18-AOAS1177
Clauset A, 2004, PHYS REV E, V70, DOI 10.1103/PhysRevE.70.066111
de la Cruz R, 2019, Arxiv, DOI [arXiv:1806.06403, 10.48550/arXiv.1806.06403, DOI 10.48550/ARXIV.1806.06403]
Dillon J. V., 2017, arXiv
Faust Karoline, 2016, F1000Res, V5, P1519
Feng Cindy Xin, 2021, J Stat Distrib Appl, V8, P8, DOI 10.1186/s40488-021-00121-4
Forslund SK, 2021, NATURE, V600, P500, DOI 10.1038/s41586-021-04177-9
Friedman J, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002687
Gelman A., 2013, Bayesian Data Analysis, DOI DOI 10.1201/B16018
Gevers D, 2014, CELL HOST MICROBE, V15, P382, DOI 10.1016/j.chom.2014.02.005
Gibson TE, 2018, PR MACH LEARN RES, V80
Gilbert JA, 2014, BMC BIOL, V12, DOI 10.1186/s12915-014-0069-1
Gleich SJ, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00106-7
Gobbi A, 2022, COMMUN BIOL, V5, DOI 10.1038/s42003-022-03202-5
Goodrich JK, 2014, CELL, V159, P789, DOI 10.1016/j.cell.2014.09.053
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Harrison JG, 2020, MOL ECOL RESOUR, V20, P481, DOI 10.1111/1755-0998.13128
Holmes I, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030126
Ikram MA, 2017, EUR J EPIDEMIOL, V32, P807, DOI 10.1007/s10654-017-0321-4
Jordan MI, 1999, MACH LEARN, V37, P183, DOI 10.1023/A:1007665907178
Kingma D. P., 2017, Variational inference & deep learning
Kucukelbir A, 2017, J MACH LEARN RES, V18, P1
Kurtz ZD, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004226
Lee S, 2013, BIOINFORMATICS, V29, P1105, DOI 10.1093/bioinformatics/btt091
Li YF, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02718
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Liu TT, 2022, BRIEF BIOINFORM, V23, DOI 10.1093/bib/bbab443
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
McDonald D, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00031-18
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
McNichol J., 2020, Sunagawa miTAG annotations
Meisel JS, 2016, J INVEST DERMATOL, V136, P947, DOI 10.1016/j.jid.2016.01.016
Mishra A, 2022, COMPUT STAT DATA AN, V165, DOI 10.1016/j.csda.2021.107315
Mishra AK, 2022, STAT MED, V41, P2786, DOI 10.1002/sim.9384
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Moynihan MA, 2022, ISME J, V16, P233, DOI 10.1038/s41396-021-01054-1
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Ostner J, 2021, FRONT GENET, V12, DOI 10.3389/fgene.2021.766405
PACE NR, 1986, ADV MICROB ECOL, V9, P1
Paszke A, 2019, Arxiv, DOI arXiv:1912.01703
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
Peschel S, 2021, BRIEF BIOINFORM, V22, DOI 10.1093/bib/bbaa290
Proctor LM, 2019, NATURE, V569, P641, DOI 10.1038/s41586-019-1238-8
Proctor LM, 2014, CELL HOST MICROBE, V16, P276, DOI 10.1016/j.chom.2014.08.014
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rigonato J, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00279-9
RUBIN DB, 1984, ANN STAT, V12, P1151, DOI 10.1214/aos/1176346785
Ruiz FJR., The Annals of Applied Statistics, V14
Sankaran K, 2019, BIOSTATISTICS, V20, P599, DOI 10.1093/biostatistics/kxy018
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Scholtens S, 2015, INT J EPIDEMIOL, V44, P1172, DOI 10.1093/ije/dyu229
Shaffer JP, 2022, NAT MICROBIOL, V7, P2128, DOI 10.1038/s41564-022-01266-x
Smith AN, 2021, LIMNOL OCEANOGR, V66, P2632, DOI 10.1002/lno.11777
Sohn MB, 2018, BIOMETRICS, V74, P448, DOI 10.1111/biom.12775
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sunagawa S, 2013, NAT METHODS, V10, P1196, DOI [10.1038/NMETH.2693, 10.1038/nmeth.2693]
Turnbaugh PJ, 2007, NATURE, V449, P804, DOI 10.1038/nature06244
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Wadsworth WD, 2017, BMC BIOINFORMATICS, V18, DOI 10.1186/s12859-017-1516-0
Wainwright MJ, 2008, FOUND TRENDS MACH LE, V1, P1, DOI 10.1561/2200000001
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
WOESE CR, 1977, P NATL ACAD SCI USA, V74, P5088, DOI 10.1073/pnas.74.11.5088
Xu TC, 2021, BIOMETRICS, V77, P91, DOI 10.1111/biom.13272
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Yoon G, 2019, FRONT GENET, V10, DOI 10.3389/fgene.2019.00516
Zeng YY, 2021, J COMPUT GRAPH STAT, V30, P1036, DOI 10.1080/10618600.2021.1882467
Zhang XY, 2017, BMC BIOINFORMATICS, V18, DOI 10.1186/s12859-016-1441-7
Zheng Q, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01517-17
NR 80
TC 0
Z9 0
PD JAN
PY 2025
VL 5
IS 1
AR ycaf062
DI 10.1093/ismeco/ycaf062
UT WOS:001484463100001
DA 2025-07-30
ER
PT J
AU Fuchsman, CA
Kirkpatrick, JB
Brazelton, WJ
Murray, JW
Staley, JT
AF Fuchsman, Clara A.
Kirkpatrick, John B.
Brazelton, William J.
Murray, James W.
Staley, James T.
TI Metabolic strategies of free-living and aggregate-associated bacterial
communities inferred from biologic and chemical profiles in the Black
Sea suboxic zone
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB The Black Sea is a permanently anoxic basin with a well-defined redox gradient. We combine environmental 16S rRNA gene data from clone libraries, terminal restriction fragment length polymorphisms, and V6 hypervariable region pyrosequences to provide the most detailed bacterial survey to date. Furthermore, this data set is informed by comprehensive geochemical data; using this combination of information, we put forward testable hypotheses regarding possible metabolisms of uncultured bacteria from the Black Sea's suboxic zone (microaerophily, nitrate reduction, manganese cycling, and oxidation of methane, ammonium, and sulfide). Dominant bacteria in the upper suboxic zone included members of the SAR11, SAR324, and Microthrix groups and in the deep suboxic zone included members of BS-GSO-2, Marine Group A, and SUP05. A particulate fraction (30 mu m filter) was used to distinguish between free-living and aggregate-attached communities in the suboxic zone. The particulate fraction contained greater diversity of V6 tag sequences than the bulk water samples. Lentisphaera, Epsilonproteobacteria, WS3, Planctomycetes, and Deltaproteobacteria were enriched in the particulate fraction, whereas SAR11 relatives dominated the free-living fraction. On the basis of the bacterial assemblages and simple modeling, we find that in suboxic waters, the interior of sinking aggregates potentially support manganese reduction, sulfate reduction, and sulfur oxidation.
C1 [Fuchsman, Clara A.; Kirkpatrick, John B.; Brazelton, William J.; Murray, James W.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
[Staley, James T.] Univ Washington, Dept Microbiol, Seattle, WA 98195 USA.
RP Fuchsman, CA (corresponding author), Univ Washington, Sch Oceanog, Box 355351, Seattle, WA 98195 USA.
EM cfuchsm1@u.washington.edu
CR ALLDREDGE AL, 1987, SCIENCE, V235, P689, DOI 10.1126/science.235.4789.689
Amiel D, 2002, DEEP-SEA RES PT II, V49, P5191, DOI 10.1016/S0967-0645(02)00185-6
ARMSTRONG FA, 1967, DEEP-SEA RES, V14, P381, DOI 10.1016/0011-7471(67)90082-4
Beal EJ, 2009, SCIENCE, V325, P184, DOI 10.1126/science.1169984
BOWMAN JP, 1993, INT J SYST BACTERIOL, V43, P735, DOI 10.1099/00207713-43-4-735
Brazelton WJ, 2010, P NATL ACAD SCI USA, V107, P1612, DOI 10.1073/pnas.0905369107
BREWER PG, 1971, LIMNOL OCEANOGR, V16, P107, DOI 10.4319/lo.1971.16.1.0107
BUESSELER KO, 1991, DEEP-SEA RES, V38, pS725, DOI 10.1016/S0198-0149(10)80006-8
Campanella JJ, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-29
Canfield DE, 2009, GEOBIOLOGY, V7, P385, DOI 10.1111/j.1472-4669.2009.00214.x
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CASPERS H, 1957, GEOL SOC AM MEM, V67, P801
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
CLEGG SL, 1990, DEEP-SEA RES, V37, P809, DOI 10.1016/0198-0149(90)90008-J
Clement BG, 2009, GEOCHIM COSMOCHIM AC, V73, P1878, DOI 10.1016/j.gca.2008.12.023
CLINE JD, 1969, LIMNOL OCEANOGR, V14, P454, DOI 10.4319/lo.1969.14.3.0454
CODISPOTI LA, 1991, DEEP-SEA RES, V38, pS691, DOI 10.1016/S0198-0149(10)80004-4
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
Diercks AR, 1997, DEEP-SEA RES PT I, V44, P385, DOI 10.1016/S0967-0637(96)00104-5
Engebretson JJ, 2003, APPL ENVIRON MICROB, V69, P4823, DOI 10.1128/AEM.69.8.4823-4829.2003
Finster K, 1997, SYST APPL MICROBIOL, V20, P201, DOI 10.1016/S0723-2020(97)80066-5
Fuchsman CA, 2008, MAR CHEM, V111, P90, DOI 10.1016/j.marchem.2008.04.009
Fukunaga Y, 2009, J GEN APPL MICROBIOL, V55, P267, DOI 10.2323/jgam.55.267
Glaubitz S, 2010, FEMS MICROBIOL ECOL, V74, P32, DOI 10.1111/j.1574-6941.2010.00944.x
Gregg MC, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021580
Grote J, 2008, APPL ENVIRON MICROB, V74, P7546, DOI 10.1128/AEM.01186-08
Hannig M, 2007, LIMNOL OCEANOGR, V52, P1336, DOI 10.4319/lo.2007.52.4.1336
Hewson I, 2006, MICROB ECOL, V51, P147, DOI 10.1007/s00248-005-0144-9
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Inagaki F, 2003, INT J SYST EVOL MICR, V53, P1801, DOI 10.1099/ijs.0.02682-0
Ivanov LI, 2001, J MARINE SYST, V31, P159, DOI 10.1016/S0924-7963(01)00051-3
JONES GA, 1994, DEEP-SEA RES PT I, V41, P531, DOI 10.1016/0967-0637(94)90094-9
Jumas-Bilak E, 2009, INT J SYST EVOL MICR, V59, P1028, DOI 10.1099/ijs.0.006718-0
Kellogg CTE, 2009, AQUAT MICROB ECOL, V57, P1, DOI 10.3354/ame01317
Kendall MM, 2006, FEMS MICROBIOL LETT, V262, P107, DOI 10.1111/j.1574-6968.2006.00380.x
Kessler JD, 2006, GLOBAL BIOGEOCHEM CY, V20, DOI 10.1029/2005GB002571
Kirkpatrick J, 2006, APPL ENVIRON MICROB, V72, P3079, DOI 10.1128/AEM.72.4.3079-3083.2006
Konovalov SK, 2003, LIMNOL OCEANOGR, V48, P2369, DOI 10.4319/lo.2003.48.6.2369
Konovalov SK, 2001, J MARINE SYST, V31, P217, DOI 10.1016/S0924-7963(01)00054-9
KORNER H, 1989, APPL ENVIRON MICROB, V55, P1670
Kuypers MMM, 2003, NATURE, V422, P608, DOI 10.1038/nature01472
Lam P, 2007, P NATL ACAD SCI USA, V104, P7104, DOI 10.1073/pnas.0611081104
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
LEWIS BL, 1991, DEEP-SEA RES, V38, pS773, DOI 10.1016/S0198-0149(10)80009-3
Lin XJ, 2006, APPL ENVIRON MICROB, V72, P2679, DOI 10.1128/AEM.72.4.2679-2690.2006
Manning CC, 2010, MAR CHEM, V122, P1, DOI 10.1016/j.marchem.2010.08.002
Manske AK, 2005, APPL ENVIRON MICROB, V71, P8049, DOI 10.1128/AEM.71.12.8049-8060.2005
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
MURRAY JW, 1995, ADV CHEM SER, V244, P157, DOI 10.1021/ba-1995-0244.ch007
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Oakley BB, 2007, ENVIRON MICROBIOL, V9, P118, DOI 10.1111/j.1462-2920.2006.01121.x
Oh J, 1999, WATER RES, V33, P1925, DOI 10.1016/S0043-1354(98)00365-0
Ploug H, 1997, AQUAT MICROB ECOL, V13, P285, DOI 10.3354/ame013285
Ploug H, 2001, LIMNOL OCEANOGR, V46, P1624, DOI 10.4319/lo.2001.46.7.1624
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
Rainey F.A., 1994, EXPERIENTIA, V50, P796
Rossetti S, 2005, FEMS MICROBIOL REV, V29, P49, DOI 10.1016/j.femsre.2004.09.005
Schloss PD, 2006, APPL ENVIRON MICROB, V72, P6773, DOI 10.1128/AEM.00474-06
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schubert CJ, 2006, ENVIRON MICROBIOL, V8, P1844, DOI 10.1111/j.1462-2920.2006.01079.x
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
SLAWYK G, 1972, DEEP-SEA RES, V19, P521, DOI 10.1016/0011-7471(72)90019-8
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sorokin YI, 1983, ECOSYSTEMS WORLD, V26, P253
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Takai K, 2006, INT J SYST EVOL MICR, V56, P1725, DOI 10.1099/ijs.0.64255-0
TESKE A, 1994, J BACTERIOL, V176, P6623, DOI 10.1128/JB.176.21.6623-6630.1994
TOLMAZIN D, 1985, PROG OCEANOGR, V15, P217, DOI 10.1016/0079-6611(85)90038-2
Vetriani C, 2003, APPL ENVIRON MICROB, V69, P6481, DOI 10.1128/AEM.69.11.6481-6488.2003
VINOGRADOV MY, 1990, OCEANOLOGY, V30, P567
Vlaeminck SE, 2010, APPL ENVIRON MICROB, V76, P900, DOI 10.1128/AEM.02337-09
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Woebken D, 2008, ENVIRON MICROBIOL, V10, P3106, DOI 10.1111/j.1462-2920.2008.01640.x
Yakushev EV, 2006, DEEP-SEA RES PT II, V53, P1769, DOI 10.1016/j.dsr2.2006.05.019
Yilmaz A, 2006, DEEP-SEA RES PT II, V53, P1988, DOI 10.1016/j.dsr2.2006.03.015
NR 79
TC 89
Z9 105
PD DEC
PY 2011
VL 78
IS 3
BP 586
EP 603
DI 10.1111/j.1574-6941.2011.01189.x
UT WOS:000297156300015
DA 2025-07-30
ER
PT J
AU Wei, B
AF Wei, Bo
TI Diversity and distribution of proteorhodopsin-containing microorganisms
in marine environments
SO FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING
DT Article
AB Proteorhodopsin (PR) is a recently discovered protein involved in the utilization of light energy. Several studies have shown that PR-containing microorganisms are widespread and compose a large proportion of the biomass in marine ecosystems. A better understanding of the ecological role of PR will help clarify the effect of the global flow of energy and the carbon cycle on marine communities. In this study, a bioinformatical database of PR codon sequences, the Global Distribution Database of Proteorhodopsin (GDDP), as a tool for analyzing the diversity and distribution of PR-containing microorganisms in marine environments throughout the world was designed. The community structure of PR microorganisms were also compared using PCR assays and UniFrac analyses of 12 samples collected from three water layers (0, 75, and 200 m) at four representative sites in the Pacific, Atlantic, and Indian Oceans. The results indicate that PRcontaining microorganisms can be grouped into two distribution types: widespread and location-specific. Representative cases of the former include SAR11-PR and HOT2C01-PR. Interestingly, PR communities cluster by geographic locale but not by water depth.
C1 Xiamen Univ, Sch Life Sci, Xiamen 361005, Peoples R China.
RP Wei, B (corresponding author), Xiamen Univ, Sch Life Sci, Xiamen 361005, Peoples R China.
EM weibo88@gmail.com
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Baas Becking L.G.M., 1934, GEOBIOLOGIE INLEIDIN
Balashov SP, 2005, SCIENCE, V309, P2061, DOI 10.1126/science.1118046
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dioumaev AK, 2003, BIOCHEMISTRY-US, V42, P6582, DOI 10.1021/bi034253r
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Jiao NZ, 2007, ENVIRON MICROBIOL, V9, P3091, DOI 10.1111/j.1462-2920.2007.01419.x
Lozupone C, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-371
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
McGuire G, 2000, BIOINFORMATICS, V16, P130, DOI 10.1093/bioinformatics/16.2.130
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Penno S, 2006, ENVIRON MICROBIOL, V8, P1200, DOI 10.1111/j.1462-2920.2006.01010.x
Ronquist F, 2003, BIOINFORMATICS, V19, P1572, DOI 10.1093/bioinformatics/btg180
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
NR 32
TC 0
Z9 0
PD FEB
PY 2012
VL 6
IS 1
BP 98
EP 106
DI 10.1007/s11783-010-0278-y
UT WOS:000299521200012
DA 2025-07-30
ER
PT J
AU Gu, BW
Liu, JX
Cheung, SY
Ho, NHE
Tan, YH
Xia, XM
AF Gu, Bowei
Liu, Jiaxing
Cheung, Shunyan
Ho, Ngai Hei Ernest
Tan, Yehui
Xia, Xiaomin
TI Insights into Prokaryotic Community and Its Potential Functions in
Nitrogen Metabolism in the Bay of Bengal, a Pronounced Oxygen Minimum
Zone
SO MICROBIOLOGY SPECTRUM
DT Article
AB Ocean oxygen minimum zones (OMZs) around the global ocean are expanding both horizontally and vertically. Multiple studies have identified the significant influence of anoxic conditions (<= 1 mu M O-2) on marine prokaryotic communities and biogeochemical cycling of elements. However, little attention has been paid to the expanding low-oxygen zones where the oxygen level is still above the anoxic level. Here, we studied the abundance and taxonomic and functional profiles of prokaryotic communities in the Bay of Bengal (BoB), where the oxygen concentration is barely above suboxic level (5 mu M O-2). We found the sinking of Trichodesmium into deep water was far more efficient than that of Prochlorococcus, suggesting Trichodesmium blooms might be an essential carbon and nitrogen source for the maintenance of the BoB OMZ. In addition to the shift in the prokaryotic community composition, the abundance of some functional genes also changed with the change of oxygen concentration. Compared to oxic (>60 mu M O-2) Tara Ocean and high-hypoxic (>20 to <= 60 mu M O-2) BoB samples, we found more SAR11-nar sequences (responsible for reducing nitrate to nitrite) in low-hypoxic (>5 to <= 20 mu M O-2) BoB waters. This suggested SAR11-nar genes would be more widespread due to the expansion of OMZs. It seems that the nitrite-N was not further reduced to nitrogen through denitrification but likely oxidized to nitrate by Nitrospinae in the BoB OMZ and then accumulated in the form of nitrate-N. However, the lack of N-2 production in the BoB would change if the BoB OMZ became anoxic. Together, these results suggested that reduction of oxygen concentration and OMZ expansion may increase the use of nitrate by SAR11 and N-2 production in the BoB. IMPORTANCE Recognizing the prokaryotic community and its functions in hypoxic (>5 to <= 60 mu M O-2) environments before further expansion of OMZs is critical. We demonstrate the prokaryotic community and its potential functions in nitrogen metabolism in the Bay of Bengal (BoB), where oxygen concentration is barely above suboxic level. This study highlighted that Trichodesmium might be an essential carbon and nitrogen source in the maintenance of the BoB OMZ. Additionally, we suggest that the lack of N-2 production in the BoB would change if the BoB OMZ became anoxic, and the expansion of OMZs in the global ocean may potentially increase the use of nitrate by SAR11.
Recognizing the prokaryotic community and its functions in hypoxic (>5 to <= 60 mu M O-2) environments before further expansion of OMZs is critical. We demonstrate the prokaryotic community and its potential functions in nitrogen metabolism in the Bay of Bengal (BoB), where oxygen concentration is barely above suboxic level.
C1 [Gu, Bowei; Liu, Jiaxing; Tan, Yehui; Xia, Xiaomin] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangzhou, Peoples R China.
[Gu, Bowei; Liu, Jiaxing; Tan, Yehui; Xia, Xiaomin] Univ Chinese Acad Sci, Beijing, Peoples R China.
[Gu, Bowei; Liu, Jiaxing; Tan, Yehui; Xia, Xiaomin] Southern Marine Sci & Engn Guangdong Lab Guangzh, Guangzhou, Peoples R China.
[Cheung, Shunyan; Ho, Ngai Hei Ernest] Hong Kong Univ Sci & Technol, Dept Ocean Sci, Hong Kong, Peoples R China.
[Cheung, Shunyan] Hong Kong Univ Sci & Technol, Southern Marine Sci & Engn Guangdong Lab, Hong Kong Branch, Hong Kong, Peoples R China.
RP Xia, XM (corresponding author), Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangzhou, Peoples R China.; Xia, XM (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.; Xia, XM (corresponding author), Southern Marine Sci & Engn Guangdong Lab Guangzh, Guangzhou, Peoples R China.
EM xxia@connect.ust.hk
CR Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Babbin AR, 2020, MAR CHEM, V224, DOI 10.1016/j.marchem.2020.103814
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bar-Zeev E, 2013, ISME J, V7, P2340, DOI 10.1038/ismej.2013.121
Beman JM, 2021, ENVIRON MICROBIOL, V23, P2765, DOI 10.1111/1462-2920.15215
Beman JM, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3705
Berman-Frank I, 2007, ENVIRON MICROBIOL, V9, P1415, DOI 10.1111/j.1462-2920.2007.01257.x
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
BOPP L, 2013, BIOGEOSCI DISCUSS, V10, P3627, DOI DOI 10.5194/BGD-10-3627-2013
Bristow LA, 2017, NAT GEOSCI, V10, P24, DOI [10.1038/NGEO2847, 10.1038/ngeo2847]
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Carini P, 2018, ENVIRON MICROBIOL, V20, P2112, DOI 10.1111/1462-2920.14107
Chang BX, 2019, LIMNOL OCEANOGR, V64, P1913, DOI 10.1002/lno.11159
Chen GX, 2015, J GEOPHYS RES-OCEANS, V120, P7598, DOI 10.1002/2015JC011223
Codispoti LA, 2001, SCI MAR, V65, P85, DOI 10.3989/scimar.2001.65s285
Dalsgaard T, 2014, MBIO, V5, DOI 10.1128/mBio.01966-14
Deng WK, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111988
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
DeVries T, 2013, BIOGEOSCIENCES, V10, P2481, DOI 10.5194/bg-10-2481-2013
Fernandes GL, 2020, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.03153
Franz J, 2012, DEEP-SEA RES PT I, V62, P20, DOI 10.1016/j.dsr.2011.12.004
Fuchsman CA, 2019, ISME J, V13, P2714, DOI 10.1038/s41396-019-0452-6
Fuchsman CA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02384
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Glass JB, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00998
Goericke R, 2000, DEEP-SEA RES PT I, V47, P1183, DOI 10.1016/S0967-0637(99)00108-9
Gruber N, 2011, PHILOS T R SOC A, V369, P1980, DOI 10.1098/rsta.2011.0003
Gu BW, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.534404
Hegde S, 2008, MAR ECOL PROG SER, V356, P93, DOI 10.3354/meps07259
Horak REA, 2018, LIMNOL OCEANOGR, V63, P741, DOI 10.1002/lno.10665
Horak REA, 2016, GEOPHYS RES LETT, V43, P5252, DOI 10.1002/2016GL068871
Hyatt D, 2012, BIOINFORMATICS, V28, P2223, DOI 10.1093/bioinformatics/bts429
Jiao N, 2014, BIOGEOSCIENCES, V11, P2391, DOI 10.5194/bg-11-2391-2014
Jyothibabu R, 2017, MAR POLLUT BULL, V121, P201, DOI 10.1016/j.marpolbul.2017.06.002
Kerou M, 2016, P NATL ACAD SCI USA, V113, pE7937, DOI 10.1073/pnas.1601212113
Kirkwood DS, 1996, MAR POLLUT BULL, V32, P640, DOI 10.1016/0025-326X(96)00076-8
Langmead B, 2009, GENOME BIOL, V10, DOI 10.1186/gb-2009-10-3-r25
Li JJ, 2017, SCI TOTAL ENVIRON, V589, P1, DOI 10.1016/j.scitotenv.2017.02.208
Löscher CR, 2012, BIOGEOSCIENCES, V9, P2419, DOI 10.5194/bg-9-2419-2012
Loescher CR, 2014, ISME J, V8, P2180, DOI 10.1038/ismej.2014.71
Löscher C, 2020, BIOGEOSCIENCES, V17, P851, DOI 10.5194/bg-17-851-2020
Löscher CR, 2021, BIOGEOSCIENCES, V18, P4953, DOI 10.5194/bg-18-4953-2021
Lüke C, 2016, PEERJ, V4, DOI 10.7717/peerj.1924
Luo CW, 2014, NUCLEIC ACIDS RES, V42, DOI 10.1093/nar/gku169
Mahadevan A, 2016, ANNU REV MAR SCI, V8, P161, DOI 10.1146/annurev-marine-010814-015912
Martens-Habbena W, 2015, ENVIRON MICROBIOL, V17, P2261, DOI 10.1111/1462-2920.12677
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Mulholland MR, 2004, AQUAT MICROB ECOL, V37, P85, DOI 10.3354/ame037085
Newell SE, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003940
Oksanen, 2022, VEGAN COMMUNITY ECOL
Oschlies A, 2018, NAT GEOSCI, V11, P467, DOI 10.1038/s41561-018-0152-2
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Parab SG, 2012, J MARINE SYST, V105, P82, DOI 10.1016/j.jmarsys.2012.06.003
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parsons T.R., 1984, MANUAL CHEM BIOL MET, V1, P173
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Peng XF, 2016, J GEOPHYS RES-OCEANS, V121, P1667, DOI 10.1002/2015JC011455
Peng XF, 2015, GLOBAL BIOGEOCHEM CY, V29, P2034, DOI 10.1002/2015GB005278
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2018, R LANG ENV STAT COMP
Raven MR, 2021, SCIENCE, V371, P178, DOI 10.1126/science.abc6035
Revsbech NP, 2009, LIMNOL OCEANOGR-METH, V7, P371, DOI 10.4319/lom.2009.7.371
Roth-Rosenberg D, 2020, MBIO, V11, DOI 10.1128/mBio.01846-20
Saunders JK, 2019, P NATL ACAD SCI USA, V116, P9925, DOI 10.1073/pnas.1818349116
Schlitzer R., 2007, OCEAN DATA VIEW
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Selden CR, 2019, GLOBAL BIOGEOCHEM CY, V33, P1187, DOI 10.1029/2019GB006242
Selden CR, 2021, LIMNOL OCEANOGR, V66, P1950, DOI 10.1002/lno.11735
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Stahl DA, 2012, ANNU REV MICROBIOL, V66, P83, DOI 10.1146/annurev-micro-092611-150128
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Stramma L, 2010, DEEP-SEA RES PT I, V57, P587, DOI 10.1016/j.dsr.2010.01.005
Sun S, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00815-y
Sun X, 2019, ISME J, V13, P2391, DOI 10.1038/s41396-019-0443-7
Sundberg C, 2013, FEMS MICROBIOL ECOL, V85, P612, DOI 10.1111/1574-6941.12148
Tamames J, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03349
Thamdrup B, 2012, DEEP-SEA RES PT I, V65, P36, DOI 10.1016/j.dsr.2012.03.001
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Wagner GP, 2012, THEOR BIOSCI, V131, P281, DOI 10.1007/s12064-012-0162-3
Wang XF, 2012, BMC MICROBIOL, V12, DOI [10.1186/1471-2105-13-113, 10.1186/1471-2180-12-18]
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Wu GX, 1998, MON WEATHER REV, V126, P913, DOI 10.1175/1520-0493(1998)126<0913:TPFATT>2.0.CO;2
Xia XM, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.135107
Yuan MM, 2021, NAT CLIM CHANGE, V11, P343, DOI 10.1038/s41558-021-00989-9
Zakem EJ, 2017, LIMNOL OCEANOGR, V62, P795, DOI 10.1002/lno.10461
NR 92
TC 18
Z9 18
PD JUN
PY 2022
VL 10
IS 3
DI 10.1128/spectrum.00892-21
EA MAY 2022
UT WOS:000799829100003
DA 2025-07-30
ER
PT J
AU Reintjes, G
Tegetmeyer, HE
Bürgisser, M
Orlic, S
Tews, I
Zubkov, M
Voss, D
Zielinski, O
Quast, C
Glöckner, FO
Amann, R
Ferdelman, TG
Fuchs, BM
AF Reintjes, Greta
Tegetmeyer, Halina E.
Buergisser, Miriam
Orlic, Sandi
Tews, Ivo
Zubkov, Mikhail
Voss, Daniela
Zielinski, Oliver
Quast, Christian
Gloeckner, Frank Oliver
Amann, Rudolf
Ferdelman, Timothy G.
Fuchs, Bernhard M.
TI On-Site Analysis of Bacterial Communities of the Ultraoligotrophic South
Pacific Gyre
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The South Pacific Gyre (SPG) covers 10% of the ocean's surface and is often regarded as a marine biological desert. To gain an on-site overview of the remote, ultraoligotrophic microbial community of the SPG, we developed a novel on-board analysis pipeline, which combines next-generation sequencing with fluorescence in situ hybridization and automated cell enumeration. We tested the pipeline during the SO-245 "UltraPac" cruise from Chile to New Zealand and found that the overall microbial community of the SPG was highly similar to those of other oceanic gyres. The SPG was dominated by 20 major bacterial clades, including SAR11, SAR116, the AEGEAN-169 marine group, SAR86, Prochlorococcus, SAR324, SAR406, and SAR202. Most of the bacterial clades showed a strong vertical (20m to 5,000 m), but only a weak longitudinal (80 degrees W to 160 degrees W), distribution pattern. Surprisingly, in the central gyre, Prochlorococcus, the dominant photosynthetic organism, had only low cellular abundances in the upper waters (20 to 80 m) and was more frequent around the 1% irradiance zone (100 to 150 m). Instead, the surface waters of the central gyre were dominated by the SAR11, SAR86, and SAR116 clades known to harbor light-driven proton pumps. The alphaproteobacterial AEGEAN-169 marine group was particularly abundant in the surface waters of the central gyre, indicating a potentially interesting adaptation to ultraoligotrophic waters and high solar irradiance. In the future, the newly developed community analysis pipeline will allow for on-site insights into a microbial community within 35 h of sampling, which will permit more targeted sampling efforts and hypothesis-driven research.
IMPORTANCE The South Pacific Gyre, due to its vast size and remoteness, is one of the least-studied oceanic regions on earth. However, both remote sensing and in situ measurements indicated that the activity of its microbial community contributes significantly to global biogeochemical cycles. Presented here is an unparalleled investigation of the microbial community of the SPG from 20- to 5,000-m depths covering a geographic distance of similar to 7,000 km. This insight was achieved through the development of a novel on-board analysis pipeline, which combines next-generation sequencing with fluorescence in situ hybridization and automated cell enumeration. The pipeline is well comparable to onshore systems based on the Illumina platforms and yields microbial community data in less than 35 h after sampling. Going forward, the ability to gain on-site knowledge of a remote microbial community will permit hypothesis-driven research, through the generation of novel scientific questions and subsequent additional targeted sampling efforts.
C1 [Reintjes, Greta; Tegetmeyer, Halina E.; Buergisser, Miriam; Quast, Christian; Gloeckner, Frank Oliver; Amann, Rudolf; Ferdelman, Timothy G.; Fuchs, Bernhard M.] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Tegetmeyer, Halina E.] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Bremerhaven, Germany.
[Tegetmeyer, Halina E.] Bielefeld Univ, Ctr Biotechnol, Bielefeld, Germany.
[Orlic, Sandi] Inst Ruder Boskovic, Zagreb, Croatia.
[Orlic, Sandi] Ctr Excellence Sci & Technol Integrat Mediterran, Zagreb, Croatia.
[Tews, Ivo] Univ Southampton, Inst Life Sci, Biol Sci, Southampton, Hants, England.
[Zubkov, Mikhail] Natl Oceanog Ctr, Southampton, Hants, England.
[Voss, Daniela; Zielinski, Oliver] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.
[Gloeckner, Frank Oliver] Jacobs Univ, Bremen, Germany.
RP Reintjes, G (corresponding author), Max Planck Inst Marine Microbiol, Bremen, Germany.
EM greintje@mpi-bremen.de
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
[Anonymous], ENCY ASTROBIOLOGY
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bennke CM, 2016, APPL ENVIRON MICROB, V82, P3289, DOI 10.1128/AEM.03931-15
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bougouffa S, 2013, APPL ENVIRON MICROB, V79, P3425, DOI 10.1128/AEM.00254-13
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Chitsaz H, 2011, NAT BIOTECHNOL, V29, P915, DOI 10.1038/nbt.1966
Claustre H, 2008, BIOGEOSCIENCES, V5, P463, DOI 10.5194/bg-5-463-2008
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
DeLong EF, 2009, NATURE, V459, P200, DOI 10.1038/nature08059
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Diepenbroek M., 2014, INFORM 2014, P1711
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Friedline CJ, 2012, BIOGEOSCIENCES, V9, P2177, DOI 10.5194/bg-9-2177-2012
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Halm H, 2012, ISME J, V6, P1238, DOI 10.1038/ismej.2011.182
Holinde L, 2016, OCEAN SCI, V12, P117, DOI 10.5194/os-12-117-2016
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Juggins S., 2016, rioja: Analysis of Quaternary Science Data
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Lami R, 2007, APPL ENVIRON MICROB, V73, P4198, DOI 10.1128/AEM.02652-06
Letscher RT, 2015, MAR CHEM, V177, P325, DOI 10.1016/j.marchem.2015.06.024
Lim YW, 2014, PEERJ, V2, DOI 10.7717/peerj.520
LONGHURST A, 1995, J PLANKTON RES, V17, P1245, DOI 10.1093/plankt/17.6.1245
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Luo HW, 2013, ENV MICROBIOL REP, V5, P686, DOI 10.1111/1758-2229.12068
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
Molloy S, 2012, NAT REV MICROBIOL, V10, DOI 10.1038/nrmicro2736
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Morel A, 2007, LIMNOL OCEANOGR, V52, P217, DOI 10.4319/lo.2007.52.1.0217
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Osterholz H, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8422
PAKULSKI JD, 1994, LIMNOL OCEANOGR, V39, P930, DOI 10.4319/lo.1994.39.4.0930
PARTENSKY F, 1993, PLANT PHYSIOL, V101, P285, DOI 10.1104/pp.101.1.285
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Props R, 2017, ISME J, V11, P584, DOI 10.1038/ismej.2016.117
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raimbault P, 2008, BIOGEOSCIENCES, V5, P281, DOI 10.5194/bg-5-281-2008
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ras J, 2008, BIOGEOSCIENCES, V5, P353, DOI 10.5194/bg-5-353-2008
Robinson C, 2006, DEEP-SEA RES PT II, V53, P1485, DOI 10.1016/j.dsr2.2006.05.015
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schlitzer R., 2015, OCEAN DATA VIEW
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Thiele S, 2011, TREATISE ON WATER SCIENCE, VOL 3: AQUATIC CHEMISTRY AND BIOLOGY, P171
Toribio AL, 2017, NUCLEIC ACIDS RES, V45, pD32, DOI 10.1093/nar/gkw1106
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Van Wambeke F, 2008, BIOGEOSCIENCES, V5, P157, DOI 10.5194/bg-5-157-2008
Walsh EA, 2015, AQUAT MICROB ECOL, V75, P1, DOI 10.3354/ame01746
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
Yilmaz P, 2011, NAT BIOTECHNOL, V29, P415, DOI 10.1038/nbt.1823
Yin Q, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055148
Zielinski O., 2017, PHYS OCEANOGRAPHY SO
Zubkov MV, 2008, NATURE, V455, P224, DOI 10.1038/nature07236
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 73
TC 29
Z9 30
PD JUL
PY 2019
VL 85
IS 14
AR e00184-19
DI 10.1128/AEM.00184-19
UT WOS:000476468600001
DA 2025-07-30
ER
PT J
AU Aylward, FO
Eppley, JM
Smith, JM
Chavez, FP
Scholin, CA
DeLong, EF
AF Aylward, Frank O.
Eppley, John M.
Smith, Jason M.
Chavez, Francisco P.
Scholin, Christopher A.
DeLong, Edward F.
TI Microbial community transcriptional networks are conserved in three
domains at ocean basin scales
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Planktonic microbial communities in the ocean are typically dominated by several cosmopolitan clades of Bacteria, Archaea, and Eukarya characterized by their ribosomal RNA gene phylogenies and genomic features. Although the environments these communities inhabit range from coastal to open ocean waters, how the biological dynamics vary between such disparate habitats is not well known. To gain insight into the differential activities of microbial populations inhabiting different oceanic provinces we compared the daily metatranscriptome profiles of related microbial populations inhabiting surface waters of both a coastal California upwelling region (CC) as well as the oligotrophic North Pacific Subtropical Gyre (NPSG). Transcriptional networks revealed that the dominant photoautotrophic microbes in each environment (Ostreococcus in CC, Prochlorococcus in NPSG) were central determinants of overall community transcriptome dynamics. Furthermore, heterotrophic bacterial clades common to both ecosystems (SAR11, SAR116, SAR86, SAR406, and Roseobacter) displayed conserved, genome-wide inter-and intrataxon transcriptional patterns and diel cycles. Populations of SAR11 and SAR86 clades in particular exhibited tightly coordinated transcriptional patterns in both coastal and pelagic ecosystems, suggesting that specific biological interactions between these groups are widespread in nature. Our results identify common diurnally oscillating behaviors among diverse planktonic microbial species regardless of habitat, suggesting that highly conserved temporally phased biotic interactions are ubiquitous among planktonic microbial communities worldwide.
C1 [Aylward, Frank O.; Eppley, John M.; DeLong, Edward F.] Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
[Smith, Jason M.; Chavez, Francisco P.; Scholin, Christopher A.] Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
[DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[DeLong, Edward F.] MIT, Dept Biol Engn, Cambridge, MA 02139 USA.
RP DeLong, EF (corresponding author), Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
EM edelong@hawaii.edu
CR Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Becker JW, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00111
Bennett S, 2004, PHARMACOGENOMICS, V5, P433, DOI 10.1517/14622416.5.4.433
CAMPBELL L, 1993, DEEP-SEA RES PT I, V40, P2043, DOI 10.1016/0967-0637(93)90044-4
Chavez FP, 2009, PROG OCEANOGR, V83, P80, DOI 10.1016/j.pocean.2009.07.032
DeLong EF, 2009, NATURE, V459, P200, DOI 10.1038/nature08059
DeLong EF, 2005, NATURE, V437, P336, DOI 10.1038/nature04157
Demir-Hilton E, 2011, ISME J, V5, P1095, DOI 10.1038/ismej.2010.209
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
Karl DM, 2014, NAT REV MICROBIOL, V12, P699, DOI 10.1038/nrmicro3333
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Langfelder P, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-559
Metcalf WW, 2012, SCIENCE, V337, P1104, DOI 10.1126/science.1219875
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Scholin C, 2009, OCEANOGRAPHY, V22, P158, DOI 10.5670/oceanog.2009.46
Sharma AK, 2014, ENVIRON MICROBIOL, V16, P2815, DOI 10.1111/1462-2920.12254
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Stewart FJ, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-3-r26
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Temperton B, 2012, CURR OPIN MICROBIOL, V15, P605, DOI 10.1016/j.mib.2012.07.001
Yokokawa T, 2010, J OCEANOGR, V66, P1, DOI 10.1007/s10872-010-0001-4
Zhang B, 2005, STAT APPL GENET MOL, V4, DOI 10.2202/1544-6115.1128
Zinger L, 2012, MOL ECOL, V21, P1878, DOI 10.1111/j.1365-294X.2011.05362.x
NR 35
TC 140
Z9 161
PD APR 28
PY 2015
VL 112
IS 17
BP 5443
EP 5448
DI 10.1073/pnas.1502883112
UT WOS:000353554000058
DA 2025-07-30
ER
PT J
AU Wietz, M
Metfies, K
Bienhold, C
Wolf, C
Janssen, F
Salter, I
Boetius, A
AF Wietz, Matthias
Metfies, Katja
Bienhold, Christina
Wolf, Christian
Janssen, Felix
Salter, Ian
Boetius, Antje
TI Impact of preservation method and storage period on ribosomal
metabarcoding of marine microbes: Implications for remote automated
samplings
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Automated sampling technologies can enhance the temporal and spatial resolution of marine microbial observations, particularly in remote and inaccessible areas. A critical aspect of automated microbiome sampling is the preservation of nucleic acids over long-term autosampler deployments. Understanding the impact of preservation method on microbial metabarcoding is essential for implementing genomic observatories into existing infrastructure, and for establishing best practices for the regional and global synthesis of data. The present study evaluates the effect of two preservatives commonly used in autosampler deployments (mercuric chloride and formalin) and two extraction kits (PowerWater and NucleoSpin) on amplicon sequencing of 16S and 18S rRNA gene over 50 weeks of sample storage. Our results suggest the combination of mercuric chloride preservation and PowerWater extraction as most adequate for 16S and 18S rRNA gene amplicon-sequencing from the same seawater sample. This approach provides consistent information on species richness, diversity and community composition in comparison to control samples (nonfixed, filtered and frozen) when stored up to 50 weeks at in situ temperature. Preservation affects the recovery of certain taxa, with specific OTUs becoming overrepresented (SAR11 and diatoms) or underrepresented (Colwellia and pico-eukaryotes) after preservation. In case eukaryotic sequence information is the sole target, formalin preservation and NucleoSpin extraction performed best. Our study contributes to the design of long-term autonomous microbial observations in remote ocean areas, allowing cross-comparison of microbiome dynamics across sampling devices (e.g., water and particle samplers) and marine realms.
C1 [Wietz, Matthias; Bienhold, Christina; Janssen, Felix; Salter, Ian; Boetius, Antje] Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Deep Sea Ecol & Technol, Bremerhaven, Germany.
[Wietz, Matthias; Bienhold, Christina; Janssen, Felix; Boetius, Antje] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Metfies, Katja; Wolf, Christian] Helmholtz Ctr Polar & Marine Res, Polar Biol Oceanog, Alfred Wegener Inst, Bremerhaven, Germany.
[Metfies, Katja] Carl von Ossietzky Univ Oldenburg, Helmholtz Inst Funct Marine Biodivers, Oldenburg, Germany.
[Salter, Ian] Faroe Marine Res Inst, Torshavn, Faroe Islands.
[Boetius, Antje] Univ Bremen, MARUM Ctr Marine Environm Sci, Bremen, Germany.
RP Wietz, M (corresponding author), Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Deep Sea Ecol & Technol, Bremerhaven, Germany.; Wietz, M (corresponding author), Max Planck Inst Marine Microbiol, Bremen, Germany.
EM matthias.wietz@awi.de
CR Andersen KS., 2018, bioRxiv, DOI DOI 10.1101/299537
[Anonymous], 1994, PROTOCOLS JOINT GLOB
Bachy C, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10050961
Balzano S, 2015, AQUAT MICROB ECOL, V74, P263, DOI 10.3354/ame01740
Bauerfeind E, 2009, DEEP-SEA RES PT I, V56, P1471, DOI 10.1016/j.dsr.2009.04.011
Boeuf D, 2019, P NATL ACAD SCI USA, V116, P11824, DOI 10.1073/pnas.1903080116
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bowman JP., 2014, The Prokaryotes: Gammaproteobacteria, P179, DOI [DOI 10.1007/978-3-642-38922-1230, 10.1007/978-3-642-38922-1230, DOI 10.1007/978-3-642-38922-1_230]
Bucklin A, 2004, MOL PHYLOGENET EVOL, V30, P879, DOI 10.1016/j.ympev.2003.11.002
Buttigieg PL, 2018, CURR OPIN MICROBIOL, V43, P169, DOI 10.1016/j.mib.2018.01.015
Crameri F., 2021, SCI COLOUR MAPS, DOI [DOI 10.5281/ZENODO.5501399, 10.5281/ZENODO.5501399]
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
ELWOOD HJ, 1985, MOL BIOL EVOL, V2, P399
Fischer G, 2016, BIOGEOSCIENCES, V13, P3071, DOI 10.5194/bg-13-3071-2016
Formel N, 2021, HARDWAREX, V10, DOI 10.1016/j.ohx.2021.e00239
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gray MA, 2013, FEMS MICROBIOL ECOL, V83, P468, DOI 10.1111/1574-6941.12008
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Herfort L, 2016, LIMNOL OCEANOGR-METH, V14, P50, DOI 10.1002/lom3.10069
Hoffman EA, 2015, J BIOL CHEM, V290, P26404, DOI 10.1074/jbc.R115.651679
Hsieh TC, 2016, METHODS ECOL EVOL, V7, P1451, DOI 10.1111/2041-210X.12613
Jorgensen BB, 2007, NAT REV MICROBIOL, V5, P770, DOI 10.1038/nrmicro1745
Lampitt RS, 2010, DEEP-SEA RES PT II, V57, P1346, DOI 10.1016/j.dsr2.2010.01.011
LEE C, 1992, LIMNOL OCEANOGR, V37, P117, DOI 10.4319/lo.1992.37.1.0117
Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
Lindsay DJ, 2021, SCI ROBOT, V6, DOI 10.1126/scirobotics.abj3949
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
Mahé F, 2014, PEERJ, V2, DOI 10.7717/peerj.593
Martin M., 2011, EMBnet J, V17, P10
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Metfies K, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00301
Moore SK, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9030336
Nöthig EM, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0368
Oksanen J., 2010, Vegan: Community ecology package
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paradis E, 2019, BIOINFORMATICS, V35, P526, DOI 10.1093/bioinformatics/bty633
Poff KE, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018269118
Pratte ZAA, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.684161
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rachel NM, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.581387
Ramondenc S, 2023, LIMNOL OCEANOGR, V68, pS39, DOI 10.1002/lno.12192
Reid KM, 2017, FORENSIC SCI INT, V280, P181, DOI 10.1016/j.forsciint.2017.09.020
Renshaw MA, 2015, MOL ECOL RESOUR, V15, P168, DOI 10.1111/1755-0998.12281
Rissanen AJ, 2010, APPL MICROBIOL BIOT, V88, P977, DOI 10.1007/s00253-010-2838-2
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Salter I, 2007, DEEP-SEA RES PT II, V54, P2233, DOI 10.1016/j.dsr2.2007.06.008
Salter I, 2014, NAT GEOSCI, V7, P885, DOI 10.1038/NGEO2285
Salter I, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2010GB003977
Sano M, 2020, LIMNOL OCEANOGR-METH, V18, P635, DOI 10.1002/lom3.10390
Sherr E.B., 1993, HDB METHODS AQUATIC, P207
Spens J, 2017, METHODS ECOL EVOL, V8, P635, DOI 10.1111/2041-210X.12683
Stern RF, 2015, PROG OCEANOGR, V137, P409, DOI 10.1016/j.pocean.2015.04.015
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Thompson AW, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00074-4
Truelove NK, 2022, ENVIRON DNA, V4, P972, DOI 10.1002/edn3.299
Valencia B, 2022, DEEP-SEA RES PT I, V179, DOI 10.1016/j.dsr.2021.103668
von Appen WJ, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26943-z
Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
Wickham H., 2019, J OPEN SOURCE SOFTWA, V4, P1686, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
Yamahara KM, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00373
Yilmaz P, 2011, NAT BIOTECHNOL, V29, P415, DOI 10.1038/nbt.1823
Yuan J, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133060
Zhang YW, 2021, SCI ROBOT, V6, DOI 10.1126/scirobotics.abb9138
Zhang YW, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00415
Zúñiga D, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.579198
NR 67
TC 4
Z9 5
PD SEP 7
PY 2022
VL 13
AR 999925
DI 10.3389/fmicb.2022.999925
UT WOS:000860497900001
DA 2025-07-30
ER
PT J
AU Nelson, CE
Carlson, CA
Ewart, CS
Halewood, ER
AF Nelson, Craig E.
Carlson, Craig A.
Ewart, Courtney S.
Halewood, Elisa R.
TI Community differentiation and population enrichment of Sargasso Sea
bacterioplankton in the euphotic zone of a mesoscale mode-water eddy
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Eddies are mesoscale oceanographic features (approximate to 200km diameter) that can cause transient blooms of phytoplankton by shifting density isoclines in relation to light and nutrient resources. To better understand how bacterioplankton respond to eddies, we examined depth-resolved distributions of bacterial populations across an anticyclonic mode-water eddy in the Sargasso Sea. Previous work on this eddy has documented elevated phytoplankton productivity and diatom abundance within the eddy centre with coincident bacterial productivity and biomass maxima. We illustrate bacterial community shifts within the eddy centre, differentiating populations uplifted along isopycnals from those enriched or depleted at horizons of enhanced bacterial and primary productivity. Phylotypes belonging to the Roseobacter, OCS116 and marine Actinobacteria clades were enriched in the eddy core and were highly correlated with pigment-based indicators of diatom abundance, supporting developing hypotheses that members of these clades associate with phytoplankton blooms. Typical mesopelagic clades (SAR202, SAR324, SAR406 and SAR11 IIb) were uplifted within the eddy centre, increasing bacterial diversity in the lower euphotic zone. Typical surface oligotrophic clades (SAR116, OM75, Prochlorococcus and SAR11 Ia) were relatively depleted in the eddy centre. The biogeochemical context of a bloom-inducing eddy provides insight into the ecology of the diverse uncultured bacterioplankton dominating the oligotrophic oceans.
C1 [Nelson, Craig E.; Carlson, Craig A.; Ewart, Courtney S.; Halewood, Elisa R.] Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
[Nelson, Craig E.; Carlson, Craig A.; Ewart, Courtney S.; Halewood, Elisa R.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Nelson, Craig E.] Univ Hawaii Manoa, Dept Oceanog, Ctr Microbial Oceanog Res & Educ C MORE, Honolulu, HI 96822 USA.
RP Nelson, CE (corresponding author), Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
EM craig.nelson@hawaii.edu
CR [Anonymous], 2001, DESIGN ANAL ECOLOGIC
Bailey KE, 2008, DEEP-SEA RES PT II, V55, P1491, DOI 10.1016/j.dsr2.2008.02.011
Baltar F, 2012, APPL ENVIRON MICROB, V78, P3309, DOI 10.1128/AEM.07962-11
Baltar F, 2010, ISME J, V4, P975, DOI 10.1038/ismej.2010.33
Benitez-Nelson CR, 2008, DEEP-SEA RES PT II, V55, P1133, DOI 10.1016/j.dsr2.2008.03.001
Bibby TS, 2008, DEEP-SEA RES PT II, V55, P1310, DOI 10.1016/j.dsr2.2008.01.014
Brown MV, 2007, AQUAT MICROB ECOL, V46, P107, DOI 10.3354/ame046107
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buesseler KO, 2008, DEEP-SEA RES PT II, V55, P1426, DOI 10.1016/j.dsr2.2008.02.007
Bunge J, 2011, BIOCOMPUT-PAC SYM, P121
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHAO A, 1984, SCAND J STAT, V11, P265
Chitsaz H, 2011, NAT BIOTECHNOL, V29, P915, DOI 10.1038/nbt.1966
Clarke KR., 2006, PRIMER VERSION 7 USE
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Ducklow HW, 1999, FEMS MICROBIOL ECOL, V30, P1, DOI 10.1111/j.1574-6941.1999.tb00630.x
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
EPPLEY RW, 1979, NATURE, V282, P677, DOI 10.1038/282677a0
Ewart CS, 2008, DEEP-SEA RES PT II, V55, P1334, DOI 10.1016/j.dsr2.2008.02.013
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Franklin DJ, 2012, LIMNOL OCEANOGR, V57, P305, DOI 10.4319/lo.2012.57.1.0305
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Goldthwait SA, 2008, DEEP-SEA RES PT II, V55, P1360, DOI 10.1016/j.dsr2.2008.01.003
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Jenkins WJ, 2008, DEEP-SEA RES PT II, V55, P1389, DOI 10.1016/j.dsr2.2008.02.006
Jenkins WJ, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2003GB002085
JENKINS WJ, 1988, PHILOS T R SOC A, V325, P43, DOI 10.1098/rsta.1988.0041
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Ledwell JR, 2008, DEEP-SEA RES PT II, V55, P1139, DOI 10.1016/j.dsr2.2008.02.005
Li QP, 2008, DEEP-SEA RES PT II, V55, P1291, DOI 10.1016/j.dsr2.2008.01.009
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
McGillicuddy DJ, 2007, SCIENCE, V316, P1021, DOI 10.1126/science.1136256
McGillicuddy DJ, 1999, J GEOPHYS RES-OCEANS, V104, P13381, DOI 10.1029/1999JC900021
Miller MA, 2010, Proceedings of the Gateway Computing Environments Workshop (GCE), P1, DOI [DOI 10.1109/GCE.2010.5676129, 10.1109/GCE.2010.5676129, 10.1787/9789264090279-en, DOI 10.1787/9789264090279-EN]
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Nelson CE, 2009, ISME J, V3, P13, DOI 10.1038/ismej.2008.81
OBRIEN RG, 1985, PSYCHOL BULL, V97, P316, DOI 10.1037/0033-2909.97.2.316
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Osborne J. A., 2007, P SE SAS US GROUP P
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Quince C, 2009, NAT METHODS, V6, P639, DOI [10.1038/nmeth.1361, 10.1038/NMETH.1361]
Rappé MS, 1999, SYST APPL MICROBIOL, V22, P106, DOI 10.1016/S0723-2020(99)80033-2
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
RICHARDSON PL, 1993, PROG OCEANOGR, V31, P1, DOI 10.1016/0079-6611(93)90022-6
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schlitzer R, 2002, COMPUT GEOSCI-UK, V28, P1211, DOI 10.1016/S0098-3004(02)00040-7
Schloss PD, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000844
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Siegel DA, 1999, J GEOPHYS RES-OCEANS, V104, P13359, DOI 10.1029/1999JC900051
Spielmeyer A, 2012, J EXP MAR BIOL ECOL, V413, P121, DOI 10.1016/j.jembe.2011.12.004
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Storey JD, 2003, P NATL ACAD SCI USA, V100, P9440, DOI 10.1073/pnas.1530509100
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Tison JL, 2010, J GEOPHYS RES-BIOGEO, V115, DOI 10.1029/2010JG001427
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Zhang Y, 2011, RES MICROBIOL, V162, P320, DOI 10.1016/j.resmic.2010.12.006
Zhang Y, 2009, AQUAT MICROB ECOL, V56, P65, DOI 10.3354/ame01324
NR 79
TC 52
Z9 60
PD MAR
PY 2014
VL 16
IS 3
BP 871
EP 887
DI 10.1111/1462-2920.12241
UT WOS:000332085400020
DA 2025-07-30
ER
PT J
AU Luo, HW
Moran, MA
AF Luo, Haiwei
Moran, Mary Ann
TI How do divergent ecological strategies emerge among marine
bacterioplankton lineages?
SO TRENDS IN MICROBIOLOGY
DT Review
AB Heterotrophic bacteria in pelagic marine environments are frequently categorized into two canonical ecological groups: patch-associated and free-living. This framework provides a conceptual basis for understanding bacterial utilization of oceanic organic matter. Some patch-associated bacteria are ecologically linked with eukaryotic phytoplankton, and this observation fits with predicted coincidence of their genome expansion with marine phytoplankton diversification. By contrast, free-living bacteria in today's oceans typically live singly with streamlined metabolic and regulatory functions that allow them to grow in nutrient-poor seawater. Recent analyses of marine Alphaproteobacteria suggest that some free-living bacterioplankton lineages evolved from patch-associated ancestors up to several hundred million years ago. While evolutionary analyses agree with the hypothesis that natural selection has maintained these distinct ecological strategies and genomic traits in present-day populations, they do not rule out a major role for genetic drift in driving ancient ecological switches. These two evolutionary forces may have acted on ocean bacteria at different geological time scales and under different geochemical constraints, with possible implications for future adaptations to a changing ocean. New evolutionary models and genomic data are leading to a more comprehensive understanding of marine bacterioplankton evolutionary history.
C1 [Luo, Haiwei] Chinese Univ Hong Kong, Sch Life Sci, Simon FS Li Marine Sci Lab, Shatin, Hong Kong, Peoples R China.
[Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
[Anonymous], 1972, ATLAS PROTEIN SEQ ST
[Anonymous], ANN N Y ACAD SCI
[Anonymous], PLOS ONE
Azam F, 2001, NATURE, V414, P495, DOI 10.1038/35107174
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Barve A, 2013, NATURE, V500, P203, DOI 10.1038/nature12301
Batut B, 2014, NAT REV MICROBIOL, V12, P841, DOI 10.1038/nrmicro3331
Benner R, 2003, LIMNOL OCEANOGR, V48, P118, DOI 10.4319/lo.2003.48.1.0118
Blackburn N, 1999, MAR ECOL PROG SER, V189, P1, DOI 10.3354/meps189001
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Canfield DE, 2010, SCIENCE, V330, P192, DOI 10.1126/science.1186120
Ciccarelli FD, 2006, SCIENCE, V311, P1283, DOI 10.1126/science.1123061
Conan P, 2007, LIMNOL OCEANOGR, V52, P753, DOI 10.4319/lo.2007.52.2.0753
Dagan T, 2006, MOL BIOL EVOL, V23, P310, DOI 10.1093/molbev/msj036
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
Doney SC, 2009, ANNU REV MAR SCI, V1, P169, DOI 10.1146/annurev.marine.010908.163834
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eyre-Walker A, 2002, MOL BIOL EVOL, V19, P2142, DOI 10.1093/oxfordjournals.molbev.a004039
Falkowski PG, 2004, SCIENCE, V305, P354, DOI 10.1126/science.1095964
Fenchel T, 2002, SCIENCE, V296, P1068, DOI 10.1126/science.1070118
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Foster PG, 2004, SYST BIOL, V53, P485, DOI 10.1080/10635150490445779
Galtier N, 2001, MOL BIOL EVOL, V18, P866, DOI 10.1093/oxfordjournals.molbev.a003868
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Hellweger FL, 2014, SCIENCE, V345, P1346, DOI 10.1126/science.1254421
Hentschel U, 2012, NAT REV MICROBIOL, V10, P641, DOI 10.1038/nrmicro2839
Hughes AL, 2012, HEREDITY, V108, P347, DOI 10.1038/hdy.2011.97
Hughes AL, 2009, GENE, V440, P50, DOI 10.1016/j.gene.2009.03.012
Ivars-Martinez E, 2008, ISME J, V2, P1194, DOI 10.1038/ismej.2008.74
Kiorboe T, 2001, LIMNOL OCEANOGR, V46, P1309, DOI 10.4319/lo.2001.46.6.1309
Knoll AH, 2006, PHILOS T R SOC B, V361, P1023, DOI 10.1098/rstb.2006.1843
Lamelas A, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1002357
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lartillot N, 2013, SYST BIOL, V62, P611, DOI 10.1093/sysbio/syt022
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Luo HW, 2014, ISME J, V8, P1428, DOI 10.1038/ismej.2013.248
Luo HW, 2014, ENV MICROBIOL REP, V6, P167, DOI 10.1111/1758-2229.12129
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Luo HW, 2012, ENVIRON MICROBIOL, V14, P41, DOI 10.1111/j.1462-2920.2011.02528.x
Luo HW, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003837
Lynch M., 2007, ORIGINS GENOME ARCHI
Mayali X, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095842
Mohit V, 2014, APPL ENVIRON MICROB, V80, P2071, DOI 10.1128/AEM.02916-13
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moran NA, 2000, TRENDS ECOL EVOL, V15, P321, DOI 10.1016/S0169-5347(00)01902-9
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
OHTA T, 1992, ANNU REV ECOL SYST, V23, P263, DOI 10.1146/annurev.es.23.110192.001403
Osburne MS, 2011, ENV MICROBIOL REP, V3, P744, DOI 10.1111/j.1758-2229.2011.00293.x
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Ramulu HG, 2014, MOL PHYLOGENET EVOL, V75, P103, DOI 10.1016/j.ympev.2014.02.013
Rappé MS, 2013, CURR OPIN MICROBIOL, V16, P618, DOI 10.1016/j.mib.2013.09.009
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Shapiro BJ, 2012, SCIENCE, V336, P48, DOI 10.1126/science.1218198
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Snel B, 1999, NAT GENET, V21, P108, DOI 10.1038/5052
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stocker R, 2008, P NATL ACAD SCI USA, V105, P4209, DOI 10.1073/pnas.0709765105
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Sung W, 2012, P NATL ACAD SCI USA, V109, P18488, DOI 10.1073/pnas.1216223109
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tuffley C, 1998, MATH BIOSCI, V147, P63, DOI 10.1016/S0025-5564(97)00081-3
TURLEY CM, 1994, MAR ECOL PROG SER, V115, P191, DOI 10.3354/meps115191
Verdugo P, 2004, MAR CHEM, V92, P67, DOI 10.1016/j.marchem.2004.06.017
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Woolfit M, 2003, MOL BIOL EVOL, V20, P1545, DOI 10.1093/molbev/msg167
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhang JZ, 2000, J MOL EVOL, V50, P56, DOI 10.1007/s002399910007
ZUCKERKANDL EMILE, 1965, P97
NR 87
TC 57
Z9 68
PD SEP
PY 2015
VL 23
IS 9
BP 577
EP 584
DI 10.1016/j.tim.2015.05.004
UT WOS:000361413900010
DA 2025-07-30
ER
PT J
AU Herlemann, DPR
Labrenz, M
Jürgens, K
Bertilsson, S
Waniek, JJ
Andersson, AF
AF Herlemann, Daniel P. R.
Labrenz, Matthias
Juergens, Klaus
Bertilsson, Stefan
Waniek, Joanna J.
Andersson, Anders F.
TI Transitions in bacterial communities along the 2000 km salinity gradient
of the Baltic Sea
SO ISME JOURNAL
DT Article
AB Salinity is a major factor controlling the distribution of biota in aquatic systems, and most aquatic multicellular organisms are either adapted to life in saltwater or freshwater conditions. Consequently, the saltwater-freshwater mixing zones in coastal or estuarine areas are characterized by limited faunal and floral diversity. Although changes in diversity and decline in species richness in brackish waters is well documented in aquatic ecology, it is unknown to what extent this applies to bacterial communities. Here, we report a first detailed bacterial inventory from vertical profiles of 60 sampling stations distributed along the salinity gradient of the Baltic Sea, one of world's largest brackish water environments, generated using 454 pyrosequencing of partial (400 bp) 16S rRNA genes. Within the salinity gradient, bacterial community composition altered at broad and finer-scale phylogenetic levels. Analogous to faunal communities within brackish conditions, we identified a bacterial brackish water community comprising a diverse combination of freshwater and marine groups, along with populations unique to this environment. As water residence times in the Baltic Sea exceed 3 years, the observed bacterial community cannot be the result of mixing of fresh water and saltwater, but our study represents the first detailed description of an autochthonous brackish microbiome. In contrast to the decline in the diversity of multicellular organisms, reduced bacterial diversity at brackish conditions could not be established. It is possible that the rapid adaptation rate of bacteria has enabled a variety of lineages to fill what for higher organisms remains a challenging and relatively unoccupied ecological niche. The ISME Journal (2011) 5, 1571-1579; doi: 10.1038/ismej.2011.41; published online 7 April 2011
C1 [Andersson, Anders F.] KTH Royal Inst Technol, Sci Life Lab, Sch Biotechnol, SE-10450 Stockholm, Sweden.
[Herlemann, Daniel P. R.; Labrenz, Matthias; Juergens, Klaus; Waniek, Joanna J.] Leibniz Inst Baltic Sea Res, Dept Biol Oceanog, Rostock, Germany.
[Bertilsson, Stefan] Uppsala Univ, Dept Ecol & Genet, Uppsala, Sweden.
RP Andersson, AF (corresponding author), KTH Royal Inst Technol, Sci Life Lab, Sch Biotechnol, Box 24075, SE-10450 Stockholm, Sweden.
EM doubleanders@gmail.com
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Andersson AF, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002836
Arnds J, 2010, SYST APPL MICROBIOL, V33, P139, DOI 10.1016/j.syapm.2009.12.005
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Cognetti G, 2000, MAR POLLUT BULL, V40, P7, DOI 10.1016/S0025-326X(99)00173-3
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Feistel R., 2008, STATE EVOLUTION BALT
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Grasshoff K., 1983, Methods of Seawater Analysis, V2
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Hamady M, 2010, ISME J, V4, P17, DOI 10.1038/ismej.2009.97
Hayek L.C., 1996, Surveying natural populations
Hubbell Stephen P., 2001, V32, pi
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
KELL V, 1973, Wissenschaftliche Zeitschrift der Universitaet Rostock Mathematisch-Naturwissenschaftliche Reihe, V22, P617
Khlebovich VV, 2010, MAR POLLUT B, V61, P4
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kuczynski J, 2010, NAT METHODS, V7, P813, DOI [10.1038/NMETH.1499, 10.1038/nmeth.1499]
KULLENBERG G., 1981, BALTIC SEA, V30, P135, DOI [10.1016/S0422-9894(08)70140-5, DOI 10.1016/S0422-9894(08)70140-5]
Labrenz M, 2005, INT J SYST EVOL MICR, V55, P41, DOI 10.1099/ijs.0.63230-0
Labrenz M, 2007, AQUAT MICROB ECOL, V46, P177, DOI 10.3354/ame046177
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Ojaveer H, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012467
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Reissmann JH, 2009, PROG OCEANOGR, V82, P47, DOI 10.1016/j.pocean.2007.10.004
Remane A., 1934, Verhandlungen der Deutschen Zoologischen Gesellschaft Leipzig, V37, P34
RHEINHEIMER G, 1984, BOT MAR, V27, P277
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Schiewer U, 2008, ECOLOGICAL STUDIES, V197
Setälä O, 2003, AQUAT MICROB ECOL, V32, P287, DOI 10.3354/ame032287
Shaw AK, 2008, ENVIRON MICROBIOL, V10, P2200, DOI 10.1111/j.1462-2920.2008.01626.x
Sloan WT, 2006, ENVIRON MICROBIOL, V8, P732, DOI 10.1111/j.1462-2920.2005.00956.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Uchino Y, 2002, J GEN APPL MICROBIOL, V48, P309, DOI 10.2323/jgam.48.309
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Wasmund N, 1999, ICES J MAR SCI, V56, P23, DOI 10.1006/jmsc.1999.0615
Wasmund N, 2004, MEERESWISS BER WARNE, V60, P1
Weinbauer MG, 2002, APPL ENVIRON MICROB, V68, P1082, DOI 10.1128/AEM.68.3.1082-1087.2002
Wetzel R. G, 2001, SALINITY INLAND WATE
Witkowski A, 2005, QUATERN INT, V130, P97, DOI 10.1016/j.quaint.2004.04.035
Wu QL, 2006, APPL ENVIRON MICROB, V72, P5478, DOI 10.1128/AEM.00767-06
Ysebaert T, 2003, ESTUAR COAST SHELF S, V57, P335, DOI 10.1016/S0272-7714(02)00359-1
Zhang Y, 2006, AQUAT MICROB ECOL, V43, P233, DOI 10.3354/ame043233
NR 59
TC 2165
Z9 2291
PD OCT
PY 2011
VL 5
IS 10
BP 1571
EP 1579
DI 10.1038/ismej.2011.41
UT WOS:000295783200003
DA 2025-07-30
ER
PT J
AU Molina-Pardines, C
Haro-Moreno, JM
López-Préez, M
AF Molina-Pardines, Carmen
Haro-Moreno, Jose M.
Lopez-Perez, Mario
TI Phosphate-related genomic islands as drivers of environmental adaptation
in the streamlined marine alphaproteobacterial HIMB59
SO MSYSTEMS
DT Article
AB Prokaryotic species are composed of multiple clonal lineages coexisting in the same habitat. In recent years, understanding the maintenance of this high intraspecific genetic diversity in asexual microorganisms has been a challenge for microbial ecology. In this study, we investigated the potential ecological role of this genomic heterogeneity in the marine HIMB59 clade. The metagenomic recruitment revealed the presence of three main genomospecies with different ecological distribution patterns within the two defined families. Genomic analysis revealed the presence of a flexible genomic island conserved throughout the order at the same position in the genome and related to phosphate (P) metabolism. The different versions of this island showed a distribution correlated with the concentration of P in the environment but not with the phylogeny at the genomospecies level. At high P availability (>0.5 mu M), HIMB59 cells had only the high-affinity phosphate transporter operon (PstSCAB and PhoU). Under conditions of higher P scarcity (<0.05 mu M), the cells presented a higher number of genes for the acquisition of P groups from other sources such as organic molecules and their storage. Additionally, in oligotrophic regions exhibiting extreme P depletion, such as the Mediterranean Sea, we found a second flexible genomic island related to phosphonate catabolism to supply metabolic P requirements. These results suggest that these microbes maintain in natural populations a gene pool with an equivalent biological function that allows them to respond to variations in certain micronutrients, creating ecologically distinct lineages within each species.
C1 [Molina-Pardines, Carmen; Haro-Moreno, Jose M.; Lopez-Perez, Mario] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, San Juan 03550, Alicante, Spain.
RP López-Préez, M (corresponding author), Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, San Juan 03550, Alicante, Spain.
CR Acker M, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2113386119
Adams MM, 2008, J BACTERIOL, V190, P8171, DOI 10.1128/JB.01011-08
Allen R, 2020, ENV MICROBIOL REP, V12, P377, DOI 10.1111/1758-2229.12844
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Ault-Riché D, 1998, J BACTERIOL, V180, P1841
Avrani Sarit, 2012, Mob Genet Elements, V2, P88
Barrett AJ, 2001, J STRUCT BIOL, V134, P95, DOI 10.1006/jsbi.2000.4332
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
COOK AM, 1978, J BACTERIOL, V133, P85, DOI 10.1128/JB.133.1.85-90.1978
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
d'Alcalà MR, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001650
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Duhamel S, 2021, NAT GEOSCI, V14, P359, DOI 10.1038/s41561-021-00755-8
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Feingersch R, 2012, ISME J, V6, P827, DOI 10.1038/ismej.2011.149
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
Getz EW, 2023, MSYSTEMS, V8, DOI 10.1128/msystems.00179-23
Ghorbel S, 2006, J BACTERIOL, V188, P6269, DOI 10.1128/JB.00202-06
Goldfarb T, 2015, EMBO J, V34, P169, DOI 10.15252/embj.201489455
Gonzaga A, 2012, GENOME BIOL EVOL, V4, P1360, DOI 10.1093/gbe/evs112
GOYAL A., 2022, elife, V11, DOI [DOI 10.7554/ELIFE.74987, 10.7554/eLife.74987]
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
HARDIN G, 1960, SCIENCE, V131, P1292, DOI 10.1126/science.131.3409.1292
Haro-Moreno JM, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.708782
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ivancic I, 2021, WATER-SUI, V13, DOI 10.3390/w13192750
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
Karl DM, 2014, ANNU REV MAR SCI, V6, P279, DOI 10.1146/annurev-marine-010213-135046
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kolmogorov M, 2020, NAT METHODS, V17, P1103, DOI 10.1038/s41592-020-00971-x
Kolowith LC, 2001, LIMNOL OCEANOGR, V46, P309, DOI 10.4319/lo.2001.46.2.0309
Korlevic M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-20954-6
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
Larkin AA, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-00889-9
Lazzari P, 2016, DEEP-SEA RES PT I, V108, P39, DOI 10.1016/j.dsr.2015.12.006
Letunic I, 2011, NUCLEIC ACIDS RES, V39, pW475, DOI [10.1093/nar/gkr201, 10.1093/nar/gkr931]
Lin SJ, 2016, J PHYCOL, V52, P10, DOI 10.1111/jpy.12365
Lomas MW, 2014, P NATL ACAD SCI USA, V111, P17540, DOI 10.1073/pnas.1420760111
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
López-García P, 2023, ISME J, V17, P1552, DOI 10.1038/s41396-023-01431-y
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.01041-20
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
López-Pérez M, 2014, FRONT GENET, V5, DOI 10.3389/fgene.2014.00147
Luo HW, 2009, P NATL ACAD SCI USA, V106, P21219, DOI 10.1073/pnas.0907586106
Malde A, 2014, VIRULENCE, V5, P521, DOI 10.4161/viru.28311
Martijn J, 2018, NATURE, V557, P101, DOI 10.1038/s41586-018-0059-5
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
Mather RL, 2008, NAT GEOSCI, V1, P439, DOI 10.1038/ngeo232
Meziti A, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.02593-20
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Nakar D, 2003, J BACTERIOL, V185, P1001, DOI 10.1128/JB.185.3.1001-1009.2003
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nguyen Lam-Tung, 2015, Mol Biol Evol, V32, P268, DOI 10.1093/molbev/msu300
O'Malley MA, 2008, STUD HIST PHI PART C, V39, P314, DOI 10.1016/j.shpsc.2008.06.005
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Paytan A, 2007, CHEM REV, V107, P563, DOI 10.1021/cr0503613
Pritchard L, 2016, ANAL METHODS-UK, V8, P12, DOI [10.1039/c5ay02550h, 10.1039/C5AY02550H]
Record NR, 2014, ICES J MAR SCI, V71, P236, DOI 10.1093/icesjms/fst049
Reintjes G, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00184-19
Roda-Garcia JJ, 2023, FRONT MICROBIOL, V14, DOI 10.3389/fmicb.2023.1159270
Roda-Garcia JJ, 2023, ENVIRON MICROBIOL, V25, P1136, DOI 10.1111/1462-2920.16348
Roda-Garcia JJ, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00944-21
Rodriguez-Valera Francisco, 2009, Nat Rev Microbiol, V7, P828, DOI 10.1038/nrmicro2235
Rodriguez-Valera F, 2016, CURR OPIN MICROBIOL, V31, P154, DOI 10.1016/j.mib.2016.03.014
Rosen MJ, 2015, SCIENCE, V348, P1019, DOI 10.1126/science.aaa4456
Santic D, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90863-7
Santos-Beneit F, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00402
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Steiner PA, 2019, ENV MICROBIOL REP, V11, P699, DOI 10.1111/1758-2229.12783
Su B, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02081-7
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tanhua T, 2013, OCEAN SCI, V9, P789, DOI 10.5194/os-9-789-2013
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Tully BJ, 2017, PEERJ, V5, DOI 10.7717/peerj.3558
Ustick LJ, 2023, ISME J, V17, P1671, DOI 10.1038/s41396-023-01469-y
van Bleijswijk JDL, 2015, BIOGEOSCIENCES, V12, P4483, DOI 10.5194/bg-12-4483-2015
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Virtanen P, 2020, NAT METHODS, V17, P261, DOI 10.1038/s41592-019-0686-2
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
Young HE, 2013, J BIOL CHEM, V288, P26987, DOI 10.1074/jbc.M113.497636
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
NR 98
TC 4
Z9 4
PD DEC 21
PY 2023
VL 8
IS 6
DI 10.1128/msystems.00898-23
EA DEC 2023
UT WOS:001114832800001
DA 2025-07-30
ER
PT J
AU Campbell, BJ
Yu, LY
Heidelberg, JF
Kirchman, DL
AF Campbell, Barbara J.
Yu, Liying
Heidelberg, John F.
Kirchman, David L.
TI Activity of abundant and rare bacteria in a coastal ocean
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB The surface layer of the oceans and other aquatic environments contains many bacteria that range in activity, from dormant cells to those with high rates of metabolism. However, little experimental evidence exists about the activity of specific bacterial taxa, especially rare ones. Here we explore the relationship between abundance and activity by documenting changes in abundance over time and by examining the ratio of 16S rRNA to rRNA genes (rDNA) of individual bacterial taxa. The V1-V2 region of 16S rRNA and rDNA was analyzed by tag pyrosequencing in a 3-y study of surface waters off the Delaware coast. Over half of the bacterial taxa actively cycled between abundant and rare, whereas about 12% always remained rare and potentially inactive. There was a significant correlation between the relative abundance of 16S rRNA and the relative abundance of 16S rDNA for most individual taxa. However, 16S rRNA: rDNA ratios were significantly higher in about 20% of the taxa when they were rare than when abundant. Relationships between 16S rRNA and rDNA frequencies were confirmed for five taxa by quantitative PCR. Our findings suggest that though abundance follows activity in the majority of the taxa, a significant portion of the rare community is active, with growth rates that decrease as abundance increases.
C1 [Campbell, Barbara J.; Yu, Liying; Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
[Heidelberg, John F.] Univ So Calif, Wrigley Marine Sci Ctr, Avalon, CA 90704 USA.
RP Campbell, BJ (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM bjc@udel.edu
CR Ashelford KE, 2002, NUCLEIC ACIDS RES, V30, P3481, DOI 10.1093/nar/gkf450
Audic S, 1997, GENOME RES, V7, P986, DOI 10.1101/gr.7.10.986
Campbell BJ, 2009, AQUAT MICROB ECOL, V57, P123, DOI 10.3354/ame01335
Campbell BJ, 2010, ENVIRON MICROBIOL, V12, P1842, DOI 10.1111/j.1462-2920.2010.02189.x
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Deutscher MP, 2006, NUCLEIC ACIDS RES, V34, P659, DOI 10.1093/nar/gkj472
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gaidos E, 2011, ENVIRON MICROBIOL, V13, P1138, DOI 10.1111/j.1462-2920.2010.02392.x
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
Kerkhof L, 1999, FEMS MICROBIOL ECOL, V30, P253
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Lami R, 2009, AQUAT MICROB ECOL, V54, P199, DOI 10.3354/ame01264
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Middelboe M, 2009, ENVIRON MICROBIOL, V11, P1971, DOI 10.1111/j.1462-2920.2009.01920.x
MIKKOLA R, 1991, BIOCHIMIE, V73, P1061, DOI 10.1016/0300-9084(91)90148-T
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
van den Bogert B, 2011, APPL ENVIRON MICROB, V77, P2071, DOI 10.1128/AEM.02477-10
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Ward B.B., 2000, Microbial ecology of the oceans, P427
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zehr J.P., 2008, MICROBIAL ECOLOGY OC, P481, DOI [10.1002/, DOI 10.1002/9780470281840.CH13]
NR 39
TC 459
Z9 506
PD AUG 2
PY 2011
VL 108
IS 31
BP 12776
EP 12781
DI 10.1073/pnas.1101405108
UT WOS:000293385700050
DA 2025-07-30
ER
PT J
AU Biller, SJ
Lundeen, RA
Hmelo, LR
Becker, KW
Arellano, AA
Dooley, K
Heal, KR
Carlson, LT
Van Mooy, BAS
Ingalls, AE
Chisholm, SW
AF Biller, Steven J.
Lundeen, Rachel A.
Hmelo, Laura R.
Becker, Kevin W.
Arellano, Aldo A.
Dooley, Keven
Heal, Katherine R.
Carlson, Laura T.
Van Mooy, Benjamin A. S.
Ingalls, Anitra E.
Chisholm, Sallie W.
TI Prochlorococcus extracellular vesicles: molecular composition and
adsorption to diverse microbes
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Extracellular vesicles are small (similar to 50-200 nm diameter) membrane-bound structures released by cells from all domains of life. While vesicles are abundant in the oceans, their functions, both for cells themselves and the emergent ecosystem, remain a mystery. To better characterize these particles - a prerequisite for determining function - we analysed the lipid, protein, and metabolite content of vesicles produced by the marine cyanobacterium Prochlorococcus. We show that Prochlorococcus exports a diverse array of cellular compounds into the surrounding seawater enclosed within discrete vesicles. Vesicles produced by two different strains contain some materials in common, but also display numerous strain-specific differences, reflecting functional complexity within vesicle populations. The vesicles contain active enzymes, indicating that they can mediate extracellular biogeochemical reactions in the ocean. We further demonstrate that vesicles from Prochlorococcus and other bacteria associate with diverse microbes including the most abundant marine bacterium, Pelagibacter. Together, our data point toward hypotheses concerning the functional roles of vesicles in marine ecosystems including, but not limited to, possibly mediating energy and nutrient transfers, catalysing extracellular biochemical reactions, and mitigating toxicity of reactive oxygen species.
C1 [Biller, Steven J.; Arellano, Aldo A.; Dooley, Keven; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
[Biller, Steven J.] Wellesley Coll, Dept Biol Sci, Wellesley, MA 02181 USA.
[Lundeen, Rachel A.; Hmelo, Laura R.; Heal, Katherine R.; Carlson, Laura T.; Ingalls, Anitra E.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
[Becker, Kevin W.; Van Mooy, Benjamin A. S.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Becker, Kevin W.] GEOMAR Helmholtz Ctr Ocean Res Kiel, Kiel, Germany.
[Heal, Katherine R.] Integral Consulting Inc, Seattle, WA USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA USA.
RP Biller, SJ (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.; Biller, SJ (corresponding author), Wellesley Coll, Dept Biol Sci, Wellesley, MA 02181 USA.
EM sbiller@wellesley.edu
CR AZAM F, 1977, NATURE, V267, P696, DOI 10.1038/267696a0
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Becker KW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07346-z
Bertilsson S, 2005, VIE MILIEU, V55, P225
Bertilsson S, 2003, LIMNOL OCEANOGR, V48, P1721, DOI 10.4319/lo.2003.48.5.1721
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Biller SJ, 2017, ISME J, V11, P394, DOI 10.1038/ismej.2016.134
Biller SJ, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.00967-15
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Bitto NJ, 2021, J EXTRACELL VESICLES, V10, DOI 10.1002/jev2.12080
Björkman KM, 2001, J MICROBIOL METH, V47, P159, DOI 10.1016/S0167-7012(01)00301-3
BLIGH EG, 1959, CAN J BIOCHEM PHYS, V37, P911
Bonnington KE, 2014, BBA-MOL CELL RES, V1843, P1612, DOI 10.1016/j.bbamcr.2013.12.011
Boysen AK, 2018, ANAL CHEM, V90, P1363, DOI 10.1021/acs.analchem.7b04400
Brown L, 2015, NAT REV MICROBIOL, V13, P620, DOI 10.1038/nrmicro3480
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Christie-Oleza JA, 2015, ENVIRON MICROBIOL, V17, P3781, DOI 10.1111/1462-2920.12822
Collins JR, 2016, ANAL CHEM, V88, P7154, DOI 10.1021/acs.analchem.6b01260
Cubillos-Ruiz A, 2017, P NATL ACAD SCI USA, V114, pE5424, DOI 10.1073/pnas.1700990114
Deatherage BL, 2012, INFECT IMMUN, V80, P1948, DOI 10.1128/IAI.06014-11
Dinh T, 2011, J BACTERIOL, V193, P4984, DOI 10.1128/JB.00315-11
Ebner P, 2019, TRENDS MICROBIOL, V27, P176, DOI 10.1016/j.tim.2018.10.006
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Goh F, 2010, ARCH MICROBIOL, V192, P1031, DOI 10.1007/s00203-010-0634-0
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Guerrero-Mandujano A, 2017, TRAFFIC, V18, P425, DOI 10.1111/tra.12488
Heal KR, 2019, PROTIST, V170, P328, DOI 10.1016/j.protis.2019.05.004
Hoppe HG, 1993, HDB METHODS AQUATIC, P423
Horai H, 2010, J MASS SPECTROM, V45, P703, DOI 10.1002/jms.1777
Hummel J, 2011, FRONT PLANT SCI, V2, DOI 10.3389/fpls.2011.00054
Jorgensen NOG, 1996, AQUAT MICROB ECOL, V11, P263, DOI 10.3354/ame011263
JURGENS UJ, 1985, J BACTERIOL, V164, P384
Kadurugamuwa J. L., 1996, Journal of Bacteriology, V178, P2767
Kadurugamuwa JL, 1999, MICROBIOL-SGM, V145, P2051, DOI 10.1099/13500872-145-8-2051
Klähn S, 2011, ENVIRON MICROBIOL, V13, P551, DOI 10.1111/j.1462-2920.2010.02366.x
Kowal J, 2016, P NATL ACAD SCI USA, V113, pE968, DOI 10.1073/pnas.1521230113
Krogh A, 2001, J MOL BIOL, V305, P567, DOI 10.1006/jmbi.2000.4315
Kuhl C, 2012, ANAL CHEM, V84, P283, DOI 10.1021/ac202450g
Li B, 2010, P NATL ACAD SCI USA, V107, P10430, DOI 10.1073/pnas.0913677107
Linster CL, 2013, NAT CHEM BIOL, V9, P72, DOI [10.1038/NCHEMBIO.1141, 10.1038/nchembio.1141]
Lynch JB, 2017, J BACTERIOL, V199, DOI 10.1128/JB.00012-17
MacDonald IA, 2013, J BACTERIOL, V195, P2971, DOI 10.1128/JB.02267-12
MacDonald IA, 2012, RES MICROBIOL, V163, P607, DOI 10.1016/j.resmic.2012.10.020
MacDonald KL, 2002, CAN J MICROBIOL, V48, P810, DOI 10.1139/W02-077
MacLean B, 2010, BIOINFORMATICS, V26, P966, DOI 10.1093/bioinformatics/btq054
Manning AJ, 2011, BMC MICROBIOL, V11, DOI 10.1186/1471-2180-11-258
Mashburn LM, 2005, NATURE, V437, P422, DOI 10.1038/nature03925
Mashburn-Warren LM, 2006, MOL MICROBIOL, V61, P839, DOI 10.1111/j.1365-2958.2006.05272.x
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Morris JJ, 2016, J PLANKTON RES, V38, P1103, DOI 10.1093/plankt/fbw016
NAWROCKI MP, 1989, MAR ECOL PROG SER, V57, P35, DOI 10.3354/meps057035
Nesvizhskii AI, 2007, NAT METHODS, V4, P787, DOI 10.1038/NMETH1088
Nielsen H, 2017, METHODS MOL BIOL, V1611, P59, DOI 10.1007/978-1-4939-7015-5_6
Orench-Rivera N, 2016, CELL MICROBIOL, V18, P1525, DOI 10.1111/cmi.12676
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Pardo YA, 2015, FEMS MICROBIOL LETT, V362, DOI 10.1093/femsle/fnv163
Pérez-Cruz C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116896
Perez-Riverol Y, 2019, NUCLEIC ACIDS RES, V47, pD442, DOI 10.1093/nar/gky1106
Popendorf KJ, 2013, LIPIDS, V48, P185, DOI 10.1007/s11745-012-3748-0
Rakoff-Nahoum S, 2014, CURR BIOL, V24, P40, DOI 10.1016/j.cub.2013.10.077
Remis JP, 2014, ENVIRON MICROBIOL, V16, P598, DOI 10.1111/1462-2920.12187
Rontani JF, 2020, ORG GEOCHEM, V139, DOI 10.1016/j.orggeochem.2019.103941
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schatz D, 2017, NAT MICROBIOL, V2, P1485, DOI 10.1038/s41564-017-0024-3
Schertzer JW, 2009, TRENDS MICROBIOL, V17, P189, DOI 10.1016/j.tim.2009.02.001
SCHMIDT W, 1980, ARCH MICROBIOL, V127, P209, DOI 10.1007/BF00427195
Schwechheimer C, 2015, NAT REV MICROBIOL, V13, P605, DOI 10.1038/nrmicro3525
Smith CA, 2006, ANAL CHEM, V78, P779, DOI 10.1021/ac051437y
Sud M, 2016, NUCLEIC ACIDS RES, V44, pD463, DOI 10.1093/nar/gkv1042
Sumner LW, 2007, METABOLOMICS, V3, P211, DOI 10.1007/s11306-007-0082-2
Tandberg JI, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0165099
Tartaglia NR, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-64952-y
Tashiro Y, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00571
Ting CS, 2007, J BACTERIOL, V189, P4485, DOI 10.1128/JB.01948-06
Toyofuku M, 2017, ISME J, V11, P1504, DOI 10.1038/ismej.2017.13
Tranchida F, 2017, SCI REP-UK, V7, DOI [10.1038/s41598-017-07447-7, 10.1038/s41598-017-06220-0]
Tsugawa H, 2015, NAT METHODS, V12, P523, DOI 10.1038/nmeth.3393
Turner L, 2018, FRONT IMMUNOL, V9, DOI 10.3389/fimmu.2018.01466
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Volkman JK, 1998, ORG GEOCHEM, V29, P1163, DOI 10.1016/S0146-6380(98)00062-X
WATERBURY JB, 1988, METHOD ENZYMOL, V167, P100
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
WICKHAM H, 2009, USE R, P1, DOI DOI 10.1007/978-0-387-98141-3
Yancey PH, 2005, J EXP BIOL, V208, P2819, DOI 10.1242/jeb.01730
Yaron S, 2000, APPL ENVIRON MICROB, V66, P4414, DOI 10.1128/AEM.66.10.4414-4420.2000
Yu NY, 2010, BIOINFORMATICS, V26, P1608, DOI 10.1093/bioinformatics/btq249
Yun SH, 2017, J MICROBIOL, V55, P56, DOI 10.1007/s12275-017-6581-6
Zakharzhevskaya NB, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-05264-6
Zavan L, 2019, PROTEOMICS, V19, DOI 10.1002/pmic.201800209
Zwarycz AS, 2020, MOL OMICS, V16, P387, DOI 10.1039/d0mo00027b
NR 91
TC 29
Z9 32
PD JAN
PY 2022
VL 24
IS 1
BP 420
EP 435
DI 10.1111/1462-2920.15834
EA NOV 2021
UT WOS:000717518600001
DA 2025-07-30
ER
PT J
AU Braakman, R
Follows, MJ
Chisholm, SW
AF Braakman, Rogier
Follows, Michael J.
Chisholm, Sallie W.
TI Metabolic evolution and the self-organization of ecosystems
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Metabolism mediates the flow of matter and energy through the biosphere. We examined how metabolic evolution shapes ecosystems by reconstructing it in the globally abundant oceanic phytoplankter Prochlorococcus. To understand what drove observed evolutionary patterns, we interpreted them in the context of its population dynamics, growth rate, and light adaptation, and the size and macromolecular and elemental composition of cells. This multilevel view suggests that, over the course of evolution, there was a steady increase in Prochlorococcus' metabolic rate and excretion of organic carbon. We derived a mathematical framework that suggests these adaptations lower the minimal subsistence nutrient concentration of cells, which results in a drawdown of nutrients in oceanic surface waters. This, in turn, increases total ecosystem biomass and promotes the coevolution of all cells in the ecosystem. Additional reconstructions suggest that Prochlorococcus and the dominant cooccurring heterotrophic bacterium SAR11 form a coevolved mutualism that maximizes their collective metabolic rate by recycling organic carbon through complementary excretion and uptake pathways. Moreover, the metabolic codependencies of Prochlorococcus and SAR11 are highly similar to those of chloroplasts and mitochondria within plant cells. These observations lead us to propose a general theory relating metabolic evolution to the self-amplification and self-organization of the biosphere. We discuss the implications of this framework for the evolution of Earth's biogeochemical cycles and the rise of atmospheric oxygen.
C1 [Braakman, Rogier; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Braakman, Rogier; Follows, Michael J.] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA 02139 USA.
RP Braakman, R; Chisholm, SW (corresponding author), MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.; Braakman, R (corresponding author), MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA.; Chisholm, SW (corresponding author), MIT, Dept Biol, Cambridge, MA 02139 USA.
EM rogierbraakman@gmail.com; chisholm@mit.edu
CR Anbar AD, 2002, SCIENCE, V297, P1137, DOI 10.1126/science.1069651
[Anonymous], 2013, J PHYLOGENET EVOL BI
[Anonymous], TEMPO MODE EVOLUTION
[Anonymous], 1968, Energy Flow in Biology: Biological Organization as a Problem in Thermal Physics
[Anonymous], 1955, MAJOR FEATURES EVOLU
Badger MR, 2002, FUNCT PLANT BIOL, V29, P161, DOI 10.1071/PP01213
Bagby SC, 2015, ISME J, V9, P2232, DOI 10.1038/ismej.2015.36
Bailey S, 2005, FEBS LETT, V579, P275, DOI 10.1016/j.febslet.2004.11.091
Bailey S, 2008, BBA-BIOENERGETICS, V1777, P269, DOI 10.1016/j.bbabio.2008.01.002
BAMBACH RK, 1993, PALEOBIOLOGY, V19, P372, DOI 10.1017/S0094837300000336
Banfield JF, 1999, P NATL ACAD SCI USA, V96, P3404, DOI 10.1073/pnas.96.7.3404
Basan M, 2015, NATURE, V528, P99, DOI 10.1038/nature15765
BATESON MM, 1988, APPL ENVIRON MICROB, V54, P1738, DOI 10.1128/AEM.54.7.1738-1743.1988
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Benitez-Nelson CR, 2000, EARTH-SCI REV, V51, P109, DOI 10.1016/S0012-8252(00)00018-0
Berner RA, 1997, SCIENCE, V276, P544, DOI 10.1126/science.276.5312.544
BERNER RA, 1989, AM J SCI, V289, P333, DOI 10.2475/ajs.289.4.333
Bertilsson S, 2005, VIE MILIEU, V55, P225
Beste DJV, 2011, PLOS PATHOG, V7, DOI 10.1371/journal.ppat.1002091
Bibby TS, 2003, NATURE, V424, P1051, DOI 10.1038/nature01933
Bibby TS, 2001, NATURE, V413, P590, DOI 10.1038/35098153
Biddanda B, 1997, LIMNOL OCEANOGR, V42, P506, DOI 10.4319/lo.1997.42.3.0506
Biller SJ, 2014, SCI DATA, V1, DOI 10.1038/sdata.2014.34
Boogerd FC, 2011, FEBS LETT, V585, P23, DOI 10.1016/j.febslet.2010.11.055
Bouman HA, 2006, SCIENCE, V312, P918, DOI 10.1126/science.1122692
Braakman R, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087950
Braakman R, 2013, PHYS BIOL, V10, DOI 10.1088/1478-3975/10/1/011001
Braakman R, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002455
Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Canfield DE, 1998, NATURE, V396, P450, DOI 10.1038/24839
Canfield DE, 2008, SCIENCE, V321, P949, DOI 10.1126/science.1154499
Cardol P, 2008, P NATL ACAD SCI USA, V105, P7881, DOI 10.1073/pnas.0802762105
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cermak N, 2017, ISME J, V11, P825, DOI 10.1038/ismej.2016.161
Chen X, 2016, P NATL ACAD SCI USA, V113, P5441, DOI 10.1073/pnas.1521916113
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Ciais P, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P465
Dauner M, 2001, J BACTERIOL, V183, P7308, DOI 10.1128/JB.183.24.7308-7317.2001
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
Douzery EJP, 2004, P NATL ACAD SCI USA, V101, P15386, DOI 10.1073/pnas.0403984101
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
EIGEN M, 1977, NATURWISSENSCHAFTEN, V64, P541, DOI 10.1007/BF00450633
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Eisenhut M, 2008, P NATL ACAD SCI USA, V105, P17199, DOI 10.1073/pnas.0807043105
Erwin DH, 2005, SCIENCE, V308, P1752, DOI 10.1126/science.1113416
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
FALKOWSKI PG, 1991, J PHYCOL, V27, P8, DOI 10.1111/j.0022-3646.1991.00008.x
Fennel K, 2005, AM J SCI, V305, P526, DOI 10.2475/ajs.305.6-8.526
Fike DA, 2006, NATURE, V444, P744, DOI 10.1038/nature05345
Fischer E, 2003, J BIOL CHEM, V278, P46446, DOI 10.1074/jbc.M307968200
Flamholz A, 2013, P NATL ACAD SCI USA, V110, P10039, DOI 10.1073/pnas.1215283110
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
FOGG GE, 1983, BOT MAR, V26, P3, DOI 10.1515/botm.1983.26.1.3
GARDESTROM P, 1988, PLANT PHYSIOL, V88, P69, DOI 10.1104/pp.88.1.69
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gledhill M, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00069
GOERICKE R, 1992, LIMNOL OCEANOGR, V37, P425
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
Grotzinger JP, 2011, NAT GEOSCI, V4, P285, DOI [10.1038/NGEO1138, 10.1038/ngeo1138]
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
HARDER W, 1983, ANNU REV MICROBIOL, V37, P1, DOI 10.1146/annurev.mi.37.100183.000245
Hartmann M, 2014, ISME J, V8, P2280, DOI 10.1038/ismej.2014.56
Hassler CS, 2011, P NATL ACAD SCI USA, V108, P1076, DOI 10.1073/pnas.1010963108
Hoefnagel MHN, 1998, BBA-BIOENERGETICS, V1366, P235, DOI 10.1016/S0005-2728(98)00126-1
Hoffman PF, 1998, SCIENCE, V281, P1342, DOI 10.1126/science.281.5381.1342
Holland HD, 2006, PHILOS T R SOC B, V361, P903, DOI 10.1098/rstb.2006.1838
Hopkinson BM, 2014, PLANT PHYSIOL, V166, P2205, DOI 10.1104/pp.114.247049
Javaux Emmanuelle, 2011, P414, DOI 10.1017/CBO9780511933875.028
Jelen BI, 2016, ANNU REV MICROBIOL, V70, P45, DOI 10.1146/annurev-micro-102215-095521
Jickells TD, 2005, SCIENCE, V308, P67, DOI 10.1126/science.1105959
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
JONES CG, 1994, OIKOS, V69, P373, DOI 10.2307/3545850
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Keeling RF, 1996, NATURE, V381, P218, DOI 10.1038/381218a0
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
KIEBER DJ, 1987, MAR CHEM, V21, P135, DOI 10.1016/0304-4203(87)90034-X
Kirschvink JL, 1992, The Proterozoic Biosphere: a Multidisciplinary Study, P51
KLEINER D, 1985, FEMS MICROBIOL LETT, V32, P87, DOI 10.1111/j.1574-6968.1985.tb01185.x
Knoll AH, 2006, PHILOS T R SOC B, V361, P1023, DOI 10.1098/rstb.2006.1843
KNOLL AH, 1986, NATURE, V321, P832, DOI 10.1038/321832a0
Krissansen-Totton J, 2015, AM J SCI, V315, P275, DOI 10.2475/04.2015.01
Kulk G, 2011, J EXP MAR BIOL ECOL, V398, P63, DOI 10.1016/j.jembe.2010.12.011
Lane N, 2010, NATURE, V467, P929, DOI 10.1038/nature09486
Leboulanger C, 1997, DEEP-SEA RES PT I, V44, P2131, DOI 10.1016/S0967-0637(97)00090-3
Lengeler JW, 1999, BIOL PROKARYOTES
Lenton TM, 2014, NAT GEOSCI, V7, P257, DOI 10.1038/ngeo2108
Lenton TM, 2012, NAT GEOSCI, V5, P86, DOI 10.1038/ngeo1390
Li YF, 2008, EVOLUTION, V62, P2984, DOI 10.1111/j.1558-5646.2008.00486.x
Liu YQ, 2003, P NATL ACAD SCI USA, V100, P4191, DOI 10.1073/pnas.0630387100
LOGAN GA, 1995, NATURE, V376, P53, DOI 10.1038/376053a0
Lyons TW, 2014, NATURE, V506, P307, DOI 10.1038/nature13068
Mackey KRM, 2008, LIMNOL OCEANOGR, V53, P900, DOI 10.4319/lo.2008.53.3.0900
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
MARAIS DJD, 1992, NATURE, V359, P605, DOI 10.1038/359605a0
McDonald AE, 2005, GENE, V349, P15, DOI 10.1016/j.gene.2004.12.049
McKinlay JB, 2010, P NATL ACAD SCI USA, V107, P11669, DOI 10.1073/pnas.1006175107
Mella-Flores Daniella, 2012, Front Microbiol, V3, P285
Molenaar D, 2009, MOL SYST BIOL, V5, DOI 10.1038/msb.2009.82
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
MOORE LR, 1995, MAR ECOL PROG SER, V116, P259, DOI 10.3354/meps116259
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
MOREL A, 1993, J MAR RES, V51, P617, DOI 10.1357/0022240933223963
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MYKLESTAD SM, 1995, SCI TOTAL ENVIRON, V165, P155, DOI 10.1016/0048-9697(95)04549-G
NEIJSSEL OM, 1976, ARCH MICROBIOL, V110, P305, DOI 10.1007/BF00690243
NEIJSSEL OM, 1975, ARCH MICROBIOL, V106, P251, DOI 10.1007/BF00446531
Noctor G, 2007, TRENDS PLANT SCI, V12, P125, DOI 10.1016/j.tplants.2007.01.005
O'Dwyer JP, 2015, P NATL ACAD SCI USA, V112, P8356, DOI 10.1073/pnas.1419341112
Och LM, 2012, EARTH-SCI REV, V110, P26, DOI 10.1016/j.earscirev.2011.09.004
Odling-Smee John, 2003, Niche construction: The neglected process in evolution
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Parfrey LW, 2011, P NATL ACAD SCI USA, V108, P13624, DOI 10.1073/pnas.1110633108
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Planavsky NJ, 2011, NATURE, V477, P448, DOI 10.1038/nature10327
Raghavendra AS, 2003, TRENDS PLANT SCI, V8, P546, DOI 10.1016/j.tplants.2003.09.015
Reinhard CT, 2017, NATURE, V541, P386, DOI 10.1038/nature20772
Reinhard CT, 2013, P NATL ACAD SCI USA, V110, P5357, DOI 10.1073/pnas.1208622110
Robbins LJ, 2016, EARTH-SCI REV, V163, P323, DOI 10.1016/j.earscirev.2016.10.013
Roe KL, 2014, METALLOMICS, V6, P2042, DOI 10.1039/c4mt00026a
Rothman DH, 2003, P NATL ACAD SCI USA, V100, P8124, DOI 10.1073/pnas.0832439100
RUSSELL JB, 1995, MICROBIOL REV, V59, P48, DOI 10.1128/MMBR.59.1.48-62.1995
Rust MJ, 2011, SCIENCE, V331, P220, DOI 10.1126/science.1197243
Ryan PR, 2001, ANNU REV PLANT PHYS, V52, P527, DOI 10.1146/annurev.arplant.52.1.527
Sánchez-Baracaldo P, 2015, SCI REP-UK, V5, DOI 10.1038/srep17418
Sánchez-Baracaldo P, 2014, CURR BIOL, V24, P652, DOI 10.1016/j.cub.2014.01.041
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schrodinger E, 1944, What is life?
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sebastián M, 2016, ISME J, V10, P968, DOI 10.1038/ismej.2015.172
Shih PM, 2013, P NATL ACAD SCI USA, V110, P12355, DOI 10.1073/pnas.1305813110
Shih PM, 2013, P NATL ACAD SCI USA, V110, P1053, DOI 10.1073/pnas.1217107110
Smith E, 2004, P NATL ACAD SCI USA, V101, P13168, DOI 10.1073/pnas.0404922101
Sperling EA, 2015, NATURE, V523, P451, DOI 10.1038/nature14589
Strzepek RF, 2004, NATURE, V431, P689, DOI 10.1038/nature02954
Sunda WG, 1997, NATURE, V390, P389, DOI 10.1038/37093
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tabita FR, 2007, MICROBIOL MOL BIOL R, V71, P576, DOI 10.1128/MMBR.00015-07
TILMAN D, 1977, ECOLOGY, V58, P338, DOI 10.2307/1935608
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Van Valen Leigh, 1973, Evolutionary Theory, V1, P1, DOI DOI 10.4337/9781785361302.00005
Vemuri GN, 2007, P NATL ACAD SCI USA, V104, P2402, DOI 10.1073/pnas.0607469104
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
Walters RG, 2005, J EXP BOT, V56, P435, DOI 10.1093/jxb/eri060
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
West SA, 2006, NAT REV MICROBIOL, V4, P597, DOI 10.1038/nrmicro1461
Yoon HS, 2004, MOL BIOL EVOL, V21, P809, DOI 10.1093/molbev/msh075
Yuan JC, 2005, GEOCHEM GEOPHY GEOSY, V6, DOI 10.1029/2004GC000908
Zhang SY, 2011, SCIENCE, V334, P1551, DOI 10.1126/science.1210858
Zinser ER, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005135
Zorz Jackie K., 2015, Life-Basel, V5, P403, DOI 10.3390/life5010403
NR 163
TC 100
Z9 117
PD APR 11
PY 2017
VL 114
IS 15
BP E3091
EP E3100
DI 10.1073/pnas.1619573114
UT WOS:000398789800014
DA 2025-07-30
ER
PT J
AU McNally, SP
Parsons, RJ
Santoro, AE
Apprill, A
AF McNally, Sean P.
Parsons, Rachel J.
Santoro, Alyson E.
Apprill, Amy
TI Multifaceted impacts of the stony coral Porites astreoides on
picoplankton abundance and community composition
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Picoplankton foster essential recycling of nutrients in the oligotrophic waters sustaining coral reef ecosystems. Despite this fact, there is a paucity of data on how the specific interactions between corals and planktonic bacteria and archaea (picoplankton) contribute to nutrient dynamics and reef productivity. Here, we utilized mesocosm experiments to investigate how corals and coral mucus influence picoplankton and nutrients in reef waters. Over 12 days, we tracked nutrient concentrations, picoplankton abundances and taxonomic composition of picoplankton using direct cell-counts, sequencing of SSU rRNA genes and fluorescent in situ hybridization-based abundances of dominant lineages in the presence or absence of Porites astreoides corals and with mucus additions. Our results demonstrate that when corals are present, Synechococcus, SAR11 and Rhodobacteraceae cells are preferentially removed. When corals were removed, their exudates enhanced the growth of diverse picoplankton, including SAR11 and Rhodobacteraceae. A seven-fold increase in nitrate concentration, possibly caused by nitrogen remineralization (ammonification coupled to nitrification) within the coral holobiont, may have further facilitated the growth of these taxa. In contrast, the addition of mucus resulted in rapid initial growth of total picoplankton and Rhodobacteraceae, but no measurable change in overall community structure. This study presents evidence of the multifaceted influences of corals on picoplankton, in which the coral holobiont selectively removes and promotes the growth of diverse picoplankton and remineralizes nitrogen.
C1 [McNally, Sean P.; Apprill, Amy] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.
[McNally, Sean P.; Parsons, Rachel J.] Bermuda Inst Ocean Sci, Ferry Reach, Bermuda.
[Santoro, Alyson E.] Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD USA.
[McNally, Sean P.] Univ Massachusetts, Boston, MA 02125 USA.
[Santoro, Alyson E.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
RP Apprill, A (corresponding author), Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.
EM aapprill@whoi.edu
CR Allers E, 2008, APPL ENVIRON MICROB, V74, P3274, DOI 10.1128/AEM.01870-07
ANDREWS JC, 1983, LIMNOL OCEANOGR, V28, P215, DOI 10.4319/lo.1983.28.2.0215
[Anonymous], 1990, Ecosystems of the world
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Apprill A, 2012, APPL ENVIRON MICROB, V78, P7467, DOI 10.1128/AEM.01232-12
Apprill A, 2011, AQUAT MICROB ECOL, V62, P251, DOI 10.3354/ame01471
Bayer K, 2008, ENVIRON MICROBIOL, V10, P2942, DOI 10.1111/j.1462-2920.2008.01582.x
Beman JM, 2007, APPL ENVIRON MICROB, V73, P5642, DOI 10.1128/AEM.00461-07
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Bythell J. C., 1988, P 6 INT COR REEF S
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carpenter KE, 2008, SCIENCE, V321, P560, DOI 10.1126/science.1159196
CORREDOR JE, 1988, LIMNOL OCEANOGR, V33, P114, DOI 10.4319/lo.1988.33.1.0114
CROSSLAND CJ, 1991, CORAL REEFS, V10, P55, DOI 10.1007/BF00571824
de Putron SJ, 2011, CORAL REEFS, V30, P321, DOI 10.1007/s00338-010-0697-z
Dinsdale EA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001584
Doney SC, 2009, ANNU REV MAR SCI, V1, P169, DOI 10.1146/annurev.marine.010908.163834
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
Fabricius KE, 2005, MAR POLLUT BULL, V50, P125, DOI 10.1016/j.marpolbul.2004.11.028
Ferrier-Pages C, 1998, MAR ECOL PROG SER, V172, P265, DOI 10.3354/meps172265
Fiore CL, 2010, TRENDS MICROBIOL, V18, P455, DOI 10.1016/j.tim.2010.07.001
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
FROST BW, 1972, LIMNOL OCEANOGR, V17, P805, DOI 10.4319/lo.1972.17.6.0805
Fu FX, 2007, J PHYCOL, V43, P485, DOI 10.1111/j.1529-8817.2007.00355.x
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Gast GJ, 1998, MAR ECOL PROG SER, V167, P37, DOI 10.3354/meps167037
Genin A, 2009, LIMNOL OCEANOGR, V54, P938, DOI 10.4319/lo.2009.54.3.0938
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Glasl B, 2016, ISME J, V10, P2280, DOI 10.1038/ismej.2016.9
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
Green DH, 2008, MAR ECOL PROG SER, V359, P1, DOI 10.3354/meps07454
Grover R, 2008, J EXP BIOL, V211, P860, DOI 10.1242/jeb.012807
Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
Huggett MJ, 2012, STAND GENOMIC SCI, V6, P11, DOI 10.4056/sigs.2305090
Jatkar AA, 2010, BIOMACROMOLECULES, V11, P883, DOI 10.1021/bm9012106
Kelly LW, 2014, P NATL ACAD SCI USA, V111, P10227, DOI 10.1073/pnas.1403319111
Kline S.J., 1952, ASME Mechanical Engineering, V75, P3
Knowlton N, 2001, P NATL ACAD SCI USA, V98, P5419, DOI 10.1073/pnas.091092998
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Lesser MP, 2007, MAR ECOL PROG SER, V346, P143, DOI 10.3354/meps07008
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Mass T, 2007, MAR ECOL PROG SER, V334, P93, DOI 10.3354/meps334093
Monismith SG, 2010, LIMNOL OCEANOGR, V55, P1881, DOI 10.4319/lo.2010.55.5.1881
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morrow KM, 2012, APPL ENVIRON MICROB, V78, P6438, DOI 10.1128/AEM.01162-12
Mumby PJ, 2007, NATURE, V450, P98, DOI 10.1038/nature06252
MUSCATINE L, 1978, LIMNOL OCEANOGR, V23, P725, DOI 10.4319/lo.1978.23.4.0725
MUSCATINE L, 1981, LIMNOL OCEANOGR, V26, P601, DOI 10.4319/lo.1981.26.4.0601
Nelson CE, 2013, ISME J, V7, P962, DOI 10.1038/ismej.2012.161
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Oh HM, 2011, J BACTERIOL, V193, P3421, DOI 10.1128/JB.05088-11
Parsons RJ, 2015, ENVIRON MICROBIOL, V17, P3481, DOI 10.1111/1462-2920.12445
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Pernice M, 2012, ISME J, V6, P1314, DOI 10.1038/ismej.2011.196
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rädecker N, 2015, TRENDS MICROBIOL, V23, P490, DOI 10.1016/j.tim.2015.03.008
Raina JB, 2013, NATURE, V502, P677, DOI 10.1038/nature12677
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ribes M, 2003, MAR ECOL PROG SER, V257, P13, DOI 10.3354/meps257013
Rodriguez-Lanetty M, 2013, MOL ECOL, V22, P4349, DOI 10.1111/mec.12392
Rohwer F, 2002, MAR ECOL PROG SER, V243, P1, DOI 10.3354/meps243001
Rotthauwe JH, 1997, APPL ENVIRON MICROB, V63, P4704, DOI 10.1128/AEM.63.12.4704-4712.1997
Ruzicka RR, 2013, MAR ECOL PROG SER, V489, P125, DOI 10.3354/meps10427
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Scheffers SR, 2004, CORAL REEFS, V23, P413, DOI 10.1007/s00338-004-0400-3
SCHILLER C, 1989, CORAL REEFS, V7, P179, DOI 10.1007/BF00301596
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sebens KP, 1996, MAR BIOL, V127, P303, DOI 10.1007/BF00942116
Seymour JR, 2005, MAR ECOL PROG SER, V288, P1, DOI 10.3354/meps288001
Sharp KH, 2012, ISME J, V6, P790, DOI 10.1038/ismej.2011.144
Siboni N, 2008, ENVIRON MICROBIOL, V10, P2979, DOI 10.1111/j.1462-2920.2008.01718.x
Siboni N, 2012, MICROB ECOL, V64, P18, DOI 10.1007/s00248-011-0006-6
SOROKIN YI, 1995, HYDROBIOLOGIA, V308, P35, DOI 10.1007/BF00037785
SOROKIN YI, 1973, NATURE, V242, P415, DOI 10.1038/242415a0
Southwell MW, 2008, LIMNOL OCEANOGR, V53, P986, DOI 10.4319/lo.2008.53.3.0986
STODDART DR, 1969, BIOL REV, V44, P433, DOI 10.1111/j.1469-185X.1969.tb00609.x
Szmant AM, 2002, ESTUARIES, V25, P743, DOI 10.1007/BF02804903
SZMANT AM, 1990, MAR BIOL, V104, P119, DOI 10.1007/BF01313165
Tanaka Y, 2011, CORAL REEFS, V30, P443, DOI 10.1007/s00338-011-0729-3
Tanaka Y, 2008, B MAR SCI, V82, P237
Taniguchi A, 2015, J EXP MAR BIOL ECOL, V469, P105, DOI 10.1016/j.jembe.2015.04.020
Taniguchi A, 2014, J EXP MAR BIOL ECOL, V461, P331, DOI 10.1016/j.jembe.2014.09.004
Thompson JR, 2015, FRONT CELL INFECT MI, V4, DOI 10.3389/fcimb.2014.00176
VERITY PG, 1992, LIMNOL OCEANOGR, V37, P1434, DOI 10.4319/lo.1992.37.7.1434
Wegley L, 2007, ENVIRON MICROBIOL, V9, P2707, DOI 10.1111/j.1462-2920.2007.01383.x
Wijgerde T, 2011, J EXP BIOL, V214, P3351, DOI 10.1242/jeb.058354
Wild C, 2004, NATURE, V428, P66, DOI 10.1038/nature02344
Yahel G, 1998, LIMNOL OCEANOGR, V43, P551, DOI 10.4319/lo.1998.43.4.0551
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
NR 99
TC 35
Z9 45
PD JAN
PY 2017
VL 62
IS 1
BP 217
EP 234
DI 10.1002/lno.10389
UT WOS:000393804600015
DA 2025-07-30
ER
PT J
AU Costas-Selas, C
Martínez-García, S
Logares, R
Hernández-Ruiz, M
Teira, E
AF Costas-Selas, Cecilia
Martinez-Garcia, Sandra
Logares, Ramiro
Hernandez-Ruiz, Marta
Teira, Eva
TI Role of Bacterial Community Composition as a Driver of the Small-Sized
Phytoplankton Community Structure in a Productive Coastal System
SO MICROBIAL ECOLOGY
DT Article
AB We present here the first detailed description of the seasonal patterns in bacterial community composition (BCC) in shelf waters off the Ria de Vigo (Spain), based on monthly samplings during 2 years. Moreover, we studied the relationship between bacterial and small-sized eukaryotic community composition to identify potential biotic interactions among components of these two communities. Bacterial operational taxonomic unit (OTU) richness and diversity systematically peaked in autumn-winter, likely related to low resource availability during this period. BCC showed seasonal and vertical patterns, with Rhodobacteraceae and Flavobacteriaceae families dominating in surface waters, and SAR11 clade dominating at the base of the photic zone (30 m depth). BCC variability was significantly explained by environmental variables (e.g., temperature of water, solar radiation, or dissolved organic matter). Interestingly, a strong and significant correlation was found between BCC and small-sized eukaryotic community composition (ECC), which suggests that biotic interactions may play a major role as structuring factors of the microbial plankton in this productive area. In addition, co-occurrence network analyses revealed strong and significant, mostly positive, associations between bacteria and small-sized phytoplankton. Positive associations likely result from mutualistic relationships (e.g., between Dinophyceae and Rhodobacteraceae), while some negative correlations suggest antagonistic interactions (e.g., between Pseudo-nitzchia sp. and SAR11). These results support the key role of biotic interactions as structuring factors of the small-sized eukaryotic community, mostly driven by positive associations between small-sized phytoplankton and bacteria.
C1 [Costas-Selas, Cecilia; Martinez-Garcia, Sandra; Hernandez-Ruiz, Marta; Teira, Eva] Univ Vigo, Ctr Invest Marina, Dept Ecol & Biol Anim, Vigo 36310, Spain.
[Logares, Ramiro] CSIC, Dept Biol Marina & Oceanog, Inst Ciencies Mar ICM, Barcelona, Catalonia, Spain.
RP Costas-Selas, C (corresponding author), Univ Vigo, Ctr Invest Marina, Dept Ecol & Biol Anim, Vigo 36310, Spain.
EM cecilia.costas.selas@uvigo.es; sandra@uvigo.es;
ramiro.logares@icm.csic.es; mhernandez@uvigo.es; teira@uvigo.es
CR Aitchison J, 1999, MATH GEOL, V31, P563, DOI 10.1023/A:1007568008032
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Alvarez-Salgado XA, 1998, MAR CHEM, V62, P325, DOI 10.1016/S0304-4203(98)00037-1
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
BAINES SB, 1991, LIMNOL OCEANOGR, V36, P1078, DOI 10.4319/lo.1991.36.6.1078
Bates SS, 2018, HARMFUL ALGAE, V79, P3, DOI 10.1016/j.hal.2018.06.001
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Biebl H, 2005, INT J SYST EVOL MICR, V55, P1089, DOI 10.1099/ijs.0.63511-0
Bock C, 2020, ENVIRON MICROBIOL, V22, P2243, DOI 10.1111/1462-2920.14992
Borcard D, 2011, USE R, P1, DOI 10.1007/978-1-4419-7976-6
Borowitzka MA, 2016, DEVEL APPL PHYCOL, V6, P321, DOI 10.1007/978-3-319-24945-2_15
Brisson V, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00585
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Cooper MB, 2019, ISME J, V13, P334, DOI 10.1038/s41396-018-0274-y
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Croft MT, 2006, EUKARYOT CELL, V5, P1175, DOI 10.1128/EC.00097-06
Dormann Carsten F., 2011, Network Biology, V1, P1
DROOP MR, 1970, HELGOLAND WISS MEER, V20, P629, DOI 10.1007/BF01609935
DUCKLOW HW, 1993, DEEP-SEA RES PT II, V40, P245, DOI 10.1016/0967-0645(93)90016-G
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Espinoza-González O, 2012, AQUAT MICROB ECOL, V67, P77, DOI 10.3354/ame01584
FALKOWSKI PG, 1994, PHOTOSYNTH RES, V39, P235, DOI 10.1007/BF00014586
Faust K, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002606
Fernandes AD, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-15
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Figueiras FG, 2002, HYDROBIOLOGIA, V484, P121, DOI 10.1023/A:1021309222459
Fraga F., 1981, Northwest Spain, in Coastal Upwelling, V1, P176, DOI DOI 10.1029/CO001P0176
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
García FC, 2015, ENVIRON MICROBIOL, V17, P4133, DOI 10.1111/1462-2920.12984
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
Grujcic V, 2018, ISME J, V12, P1668, DOI 10.1038/s41396-018-0057-5
Guannel ML, 2011, AQUAT MICROB ECOL, V64, P117, DOI 10.3354/ame01513
Heal KR, 2017, P NATL ACAD SCI USA, V114, P364, DOI 10.1073/pnas.1608462114
Helliwell KE, 2017, NEW PHYTOL, V216, P62, DOI 10.1111/nph.14669
Hernández-Ruiz M, 2018, ENVIRON MICROBIOL, V20, P2955, DOI 10.1111/1462-2920.14313
Hernando-Morales V, 2018, MICROB ECOL, V76, P866, DOI 10.1007/s00248-018-1179-z
Hirakata Y, 2016, MICROBES ENVIRON, V31, P279, DOI 10.1264/jsme2.ME16067
Joglar V, 2021, ENVIRON MICROBIOL, V23, P1559, DOI 10.1111/1462-2920.15367
Johnson WM, 2020, FEMS MICROBIOL ECOL, V96, DOI 10.1093/femsec/fiaa115
Kim S, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2102750118
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Krabberod AK, 2022, ENVIRON MICROBIOME, V17, DOI 10.1186/s40793-022-00417-1
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lau WWY, 2007, APPL ENVIRON MICROB, V73, P2440, DOI 10.1128/AEM.01965-06
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
Liu Y, 2019, ENVIRON MICROBIOL, V21, P1452, DOI 10.1111/1462-2920.14579
Logares R., 2017, WORKFLOW ANAL MISEQ, V5, DOI [10.5281/zenodo.259579, DOI 10.5281/ZENODO.259579]
Marañón E, 2001, MAR ECOL PROG SER, V216, P43, DOI 10.3354/meps216043
Martínez-García S, 2009, LIMNOL OCEANOGR-METH, V7, P459, DOI 10.4319/lom.2009.7.459
Meyer N, 2017, FEMS MICROBIOL REV, V41, P880, DOI 10.1093/femsre/fux029
Morales-Castilla I, 2015, TRENDS ECOL EVOL, V30, P347, DOI 10.1016/j.tree.2015.03.014
Moreira D, 2014, BIOESSAYS, V36, P468, DOI 10.1002/bies.201300176
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nieto-Cid M, 2006, LIMNOL OCEANOGR, V51, P1391, DOI 10.4319/lo.2006.51.3.1391
Nikolenko SI, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-S1-S7
Norland S, 1993, HDB METHODS AQUATIC, P303, DOI DOI 10.1201/9780203752746-36
PACE NR, 1986, ADV MICROB ECOL, V9, P1
Pacheco AR, 2019, FEMS MICROBIOL LETT, V366, DOI 10.1093/femsle/fnz125
Paerl RW, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00059
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parson T.R., 1984, MANUAL CHEM BIOL MET
Partensky F., 1999, MARINE CYANOBACTERIA, V19, P457, DOI DOI 10.1525/BIO.2011.61.10.3
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Robidart JC, 2012, ISME J, V6, P513, DOI 10.1038/ismej.2011.127
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Sarmento H, 2016, ISME J, V10, P2582, DOI 10.1038/ismej.2016.66
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schirmer M, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gku1341
Sherr EB, 2002, ANTON LEEUW INT J G, V81, P293, DOI 10.1023/A:1020591307260
Simek K, 1997, AQUAT MICROB ECOL, V12, P49, DOI 10.3354/ame012049
SIMON M, 1992, MAR ECOL PROG SER, V86, P103, DOI 10.3354/meps086103
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Stewart JE, 1998, CAN J MICROBIOL, V44, P456, DOI 10.1139/cjm-44-5-456
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tang YZ, 2010, P NATL ACAD SCI USA, V107, P20756, DOI 10.1073/pnas.1009566107
Teira E, 2015, MAR ECOL PROG SER, V528, P53, DOI 10.3354/meps11228
Thurman LL, 2019, ECOGRAPHY, V42, P1658, DOI 10.1111/ecog.04360
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Wagner-Döbler I, 2010, ISME J, V4, P61, DOI 10.1038/ismej.2009.94
Wang X, 2010, BIOL CONTROL, V52, P123, DOI 10.1016/j.biocontrol.2009.10.004
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 93
TC 12
Z9 13
PD AUG
PY 2023
VL 86
IS 2
BP 777
EP 794
DI 10.1007/s00248-022-02125-2
EA OCT 2022
UT WOS:000875609500001
DA 2025-07-30
ER
PT J
AU Teira, E
Hernando-Morales, V
Guerrero-Feijóo, E
Varela, MM
AF Teira, E.
Hernando-Morales, V.
Guerrero-Feijoo, E.
Varela, M. M.
TI Leucine, starch and bicarbonate utilization by specific bacterial groups
in surface shelf waters off Galicia (NW Spain)
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The capability of different bacterial populations to degrade abundant polymers, such as algal-derived polysaccharides, or to utilize preferentially polymers over monomers, remains largely unknown. In this study, microautoradiography was combined with fluorescence in situ hybridization (MAR-FISH) to evaluate the ability of Bacteroidetes, SAR11, Roseobacter spp., Gammaproteobacteria and SAR86 cells to use bicarbonate, leucine and starch under natural light conditions at two locations in shelf surface waters off NW Spain. The percentage of cells incorporating bicarbonate was relatively high (mean 32% 64%) and was positively correlated with the intensity of solar radiation. The proportion of cells using starch (mean 56% 64%) or leucine (mean 47% 64%) was significantly higher than that using bicarbonate. On average, SAR11, Roseobacter spp. and Gammaproteobacteria showed a similarly high percentage of cells using leucine (47%-65% of hybridized cells) than using starch (51%-64% of hybridized cells), while Bacteroidetes and SAR86 cells preferentially used starch (53% of hybridized cells) over leucine (34%-40% of hybridized cells). We suggest that the great percentage of bacteria using starch is related to a high ambient availability of polymers associated to algal cell lysis, which, in turn, weakens the short-term coupling between phytoplankton release and bacterial production.
C1 [Teira, E.; Hernando-Morales, V.] Univ Vigo, Dept Ecoloxia & Bioloxia Anim, Vigo 36310, Spain.
[Teira, E.; Hernando-Morales, V.] Univ Vigo, Estn Ciencias Marinas Toralla ECIMAT, Vigo 36331, Spain.
[Guerrero-Feijoo, E.; Varela, M. M.] IEO, Ctr Oceano A Coruna, Inst Espanol Oceanog, Coruna 15080 A, Spain.
RP Teira, E (corresponding author), Univ Vigo, Dept Ecoloxia & Bioloxia Anim, Vigo 36310, Spain.
EM teira@uvigo.es
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
Alvarez-Salgado XA, 2011, HARMFUL ALGAE, V10, P121, DOI 10.1016/j.hal.2010.08.003
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], ISME J
[Anonymous], 2003, AQUATIC ECOSYSTEMS I
Barbeyron T, 2016, ENVIRON MICROBIOL, V18, P4610, DOI 10.1111/1462-2920.13584
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Berlemont R, 2015, APPL ENVIRON MICROB, V81, P1513, DOI 10.1128/AEM.03718-14
Biddanda B, 1997, LIMNOL OCEANOGR, V42, P506, DOI 10.4319/lo.1997.42.3.0506
Bode A, 1998, SCI MAR, V62, P319
Bode A, 2015, MAR ENVIRON RES, V110, P81, DOI 10.1016/j.marenvres.2015.07.017
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Casas B., 1999, Boletin Instituto Espanol de Oceanografia, V15, P413
Church MJ, 2004, APPL ENVIRON MICROB, V70, P4079, DOI 10.1128/AEM.70.7.4079-4087.2004
D'Ambrosio L, 2014, ISME J, V8, P2167, DOI 10.1038/ismej.2014.67
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DeLorenzo S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046695
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
ESTRADA M, 1984, J PLANKTON RES, V6, P417, DOI 10.1093/plankt/6.3.417
Fourquez M, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00256
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Handa N., 1970, Organic Matter in Natural Waters, P129
Hauruseu D, 2012, APPL ENVIRON MICROB, V78, P7414, DOI 10.1128/AEM.01747-12
Hellebust J.A., 1974, Algal Physiology and Biochemistry, P838
Hesselsoe M, 2005, APPL ENVIRON MICROB, V71, P646, DOI 10.1128/AEM.71.2.646-655.2005
HOCH MP, 1995, LIMNOL OCEANOGR, V40, P886, DOI 10.4319/lo.1995.40.5.0886
Kaiser K, 2009, MAR CHEM, V113, P63, DOI 10.1016/j.marchem.2008.12.004
Kim YG, 2008, INT J SYST EVOL MICR, V58, P2102, DOI 10.1099/ijs.0.65820-0
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 2003, ESTUARIES, V26, P894, DOI 10.1007/BF02803348
Kirchman DL, 2001, DEEP-SEA RES PT II, V48, P4179, DOI 10.1016/S0967-0645(01)00085-6
KIRCHMAN DL, 1994, MICROBIAL ECOL, V28, P255, DOI 10.1007/BF00166816
LAFAY B, 1995, INT J SYST BACTERIOL, V45, P290, DOI 10.1099/00207713-45-2-290
LANCELOT C, 1984, ESTUAR COAST SHELF S, V18, P65, DOI 10.1016/0272-7714(84)90007-6
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
MAGUE TH, 1980, LIMNOL OCEANOGR, V25, P262, DOI 10.4319/lo.1980.25.2.0262
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Mary I, 2008, ENVIRON MICROBIOL, V10, P2124, DOI 10.1111/j.1462-2920.2008.01633.x
Mayali X, 2016, ENV MICROBIOL REP, V8, P68, DOI 10.1111/1758-2229.12352
Meon B, 2001, MAR CHEM, V75, P185, DOI 10.1016/S0304-4203(01)00036-6
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MYKLESTAD SM, 1995, SCI TOTAL ENVIRON, V165, P155, DOI 10.1016/0048-9697(95)04549-G
Myklestad SM, 2000, HANDB ENVIRON CHEM, V5, P111
Nikrad MP, 2012, APPL ENVIRON MICROB, V78, P2402, DOI 10.1128/AEM.07130-11
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Piontek J, 2011, J PLANKTON RES, V33, P1719, DOI 10.1093/plankt/fbr069
Reynolds CS, 2006, ECOL BIODIVERS CONS, P1, DOI 10.2277/ 0521605199
Rodríguez F, 2006, MAR ECOL PROG SER, V323, P59, DOI 10.3354/meps323059
Romanenko V. I., 1964, MIKROBIOLOGIYA, V33, P610
Ruiz-González C, 2012, BIOGEOCHEMISTRY, V110, P57, DOI 10.1007/s10533-012-9699-y
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Simon M, 2012, AQUAT MICROB ECOL, V68, P13, DOI 10.3354/ame01597
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2015, MAR ECOL PROG SER, V528, P53, DOI 10.3354/meps11228
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Traving SJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01533
Varela M., 1992, Boletin del Instituto Espanol de Oceanografia, V8, P75
Wietz M, 2015, ENVIRON MICROBIOL, V17, P3822, DOI 10.1111/1462-2920.12842
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
NR 78
TC 6
Z9 7
PD JUN
PY 2017
VL 19
IS 6
SI SI
BP 2379
EP 2390
DI 10.1111/1462-2920.13748
UT WOS:000404007700023
DA 2025-07-30
ER
PT J
AU Sánchez, O
Koblízek, M
Gasol, JM
Ferrera, I
AF Sanchez, Olga
Koblizek, Michal
Gasol, Josep M.
Ferrera, Isabel
TI Effects of grazing, phosphorus and light on the growth rates of major
bacterioplankton taxa in the coastal NW Mediterranean
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Estimation of growth rates is crucial to understand the ecological role of prokaryotes and their contribution to marine biogeochemical cycling. However, there are only a few estimates for individual taxa. Two top-down (grazing) and bottom-up (phosphorus (P) availability) manipulation experiments were conducted under different light regimes in the NW Mediterranean Sea. Growth rate of different phylogenetic groups, including the Bacteroidetes, Rhodobacteraceae, SAR11, Gammaproteobacteria and its subgroups Alteromonadaceae and the NOR5/OM60 clade, were estimated from changes in cell numbers. Maximal growth rates were achieved in the P-amended treatments but when comparing values between treatments (response ratios), the response to predation removal was in general larger than to P-amendment. The Alteromonadaceae displayed the highest rates in both experiments followed by the Rhodobacteraceae, but all groups largely responded to filtration and P-amendment, even the SAR11 which presented low growth rates. Comparing light and dark treatments, growth rates were on average equal or higher in the dark than in the light for all groups, except for the Rhodobacteraceae and particularly the NOR5 clade, groups that contain photoheterotrophic species. These results are useful to evaluate the potential contributions of different bacterial types to biogeochemical processes under changing environmental conditions.
C1 [Sanchez, Olga] Univ Autonoma Barcelona, Dept Genet & Microbiol, Bellaterra 08193, Catalunya, Spain.
[Koblizek, Michal] Inst Microbiol CAS, Ctr Algatech, Tebon 37981, Czech Republic.
[Gasol, Josep M.; Ferrera, Isabel] CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, E-08003 Barcelona, Catalunya, Spain.
RP Ferrera, I (corresponding author), CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, E-08003 Barcelona, Catalunya, Spain.
EM iferrera@icm.csic.es
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P2050, DOI 10.1111/j.1462-2920.2007.01321.x
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, V2nd
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Feng S, 2013, ISME J, V7, P2206, DOI 10.1038/ismej.2013.97
Ferrera I, 2014, ENVIRON MICROBIOL, V16, P2953, DOI 10.1111/1462-2920.12278
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Gasol JM, 2008, AQUAT MICROB ECOL, V53, P21, DOI 10.3354/ame01230
Gasol JM, 2016, SCI MAR, V80, P63, DOI 10.3989/scimar.04480.06E
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Hojerová E, 2011, ENVIRON MICROBIOL, V13, P2717, DOI 10.1111/j.1462-2920.2011.02540.x
Ivars-Martinez E, 2008, ISME J, V2, P1194, DOI 10.1038/ismej.2008.74
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kirchman DL, 2013, ENV MICROBIOL REP, V5, P188, DOI 10.1111/j.1758-2229.2012.00367.x
Koblízek M, 2007, ENVIRON MICROBIOL, V9, P2401, DOI 10.1111/j.1462-2920.2007.01354.x
Koblízek M, 2015, FEMS MICROBIOL REV, V39, P854, DOI 10.1093/femsre/fuv032
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Ruiz-González C, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00131
Ruiz-González C, 2012, LIMNOL OCEANOGR, V57, P29, DOI 10.4319/lo.2012.57.1.0029
Sala MM, 2002, AQUAT MICROB ECOL, V27, P47, DOI 10.3354/ame027047
Sebastián M, 2013, ISME J, V7, P1665, DOI 10.1038/ismej.2013.42
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Thingstad TF, 1998, LIMNOL OCEANOGR, V43, P88, DOI 10.4319/lo.1998.43.1.0088
Tomasch J, 2011, ISME J, V5, P1957, DOI 10.1038/ismej.2011.68
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Zeder M, 2011, CYTOM PART A, V79A, P306, DOI 10.1002/cyto.a.21034
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
NR 48
TC 20
Z9 22
PD JUN
PY 2017
VL 9
IS 3
BP 300
EP 309
DI 10.1111/1758-2229.12535
UT WOS:000401193800014
DA 2025-07-30
ER
PT J
AU Obernosterer, I
Catala, P
Lebaron, P
West, NJ
AF Obernosterer, Ingrid
Catala, Philippe
Lebaron, Philippe
West, Nyree J.
TI Distinct bacterial groups contribute to carbon cycling during a
naturally iron fertilized phytoplankton bloom in the Southern Ocean
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB We investigated the contribution of distinct bacterial groups to bulk abundance and leucine incorporation during a spring phytoplankton bloom induced by natural iron fertilization in the Southern Ocean (Kerguelen Ocean and Plateau Compared Study, January-February 2005). Oligonucleotide probes were designed to target five operational taxonomic units (OTUs) at a narrow phylogenetic level (>= 99% identity of the 16S ribosomal ribonucleic acid [rRNA] gene). During the peak of the phytoplankton bloom, the Roseobacter groups NAC11-7 and RCA, the OTUs SAR92 belonging to Gammaproteobacteria, and the Bacteroidetes OTU Agg58 dominated bulk abundance and leucine incorporation. These four OTUs disappeared with the decline of the bloom, when the cosmopolitan groups SAR11 and SAR86 became dominant. In high-nutrient, low-chlorophyll waters and at a site characterized by transient high phytoplankton biomass, the SAR11 and SAR86 clusters and a Polaribacter OTU dominated abundance and leucine incorporation in the upper 100 m. Our results demonstrate that a few distinct bacterial groups identified on a relatively narrow phylogenetic level account for 47% to 82% of bulk abundance and leucine incorporation during the spring phytoplankton bloom in the naturally fertilized region off Kerguelen. The major role of these bacterial groups in carbon cycling in response to natural iron fertilization in the Southern Ocean suggests they could play an important role in the coupling of the biogeochemical cycles of carbon and iron.
C1 [Obernosterer, Ingrid; Catala, Philippe; Lebaron, Philippe; West, Nyree J.] Univ Paris 06, Observ Oceanol, Lab Oceanog Microbienne, UMR 7621,UMS 2348, Banyuls Sur Mer, France.
[Obernosterer, Ingrid; Catala, Philippe; Lebaron, Philippe] CNRS, Observ Oceanol, Lab Oceanog Microbienne, UMR 7621, Banyuls Sur Mer, France.
[Lebaron, Philippe; West, Nyree J.] CNRS, Observ Oceanol, UMS 2348, Banyuls Sur Mer, France.
RP Obernosterer, I (corresponding author), Univ Paris 06, Observ Oceanol, Lab Oceanog Microbienne, UMR 7621,UMS 2348, Banyuls Sur Mer, France.
EM ingrid.obernosterer@obs-banyuls.fr
CR Armand LK, 2008, DEEP-SEA RES PT II, V55, P653, DOI 10.1016/j.dsr2.2007.12.031
Arrieta JM, 2004, LIMNOL OCEANOGR, V49, P799, DOI 10.4319/lo.2004.49.3.0799
Blain S, 2001, DEEP-SEA RES PT I, V48, P163, DOI 10.1016/S0967-0637(00)00047-9
Blain S, 2008, DEEP-SEA RES PT II, V55, P594, DOI 10.1016/j.dsr2.2007.12.028
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Boyd PW, 2007, SCIENCE, V315, P612, DOI 10.1126/science.1131669
Christaki U, 2008, DEEP-SEA RES PT II, V55, P706, DOI 10.1016/j.dsr2.2007.12.009
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Ebersbach F, 2008, LIMNOL OCEANOGR, V53, P212, DOI 10.4319/lo.2008.53.1.0212
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Fuchs BM, 2000, APPL ENVIRON MICROB, V66, P3603, DOI 10.1128/AEM.66.8.3603-3607.2000
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Gledhill M, 2004, MAR CHEM, V88, P75, DOI 10.1016/j.marchem.2004.03.003
Jickells TD, 2005, SCIENCE, V308, P67, DOI 10.1126/science.1105959
Jouandet MP, 2011, LIMNOL OCEANOGR, V56, P1130, DOI 10.4319/lo.2011.56.3.1130
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Mayali X, 2008, APPL ENVIRON MICROB, V74, P2595, DOI 10.1128/AEM.02191-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mosseri J, 2008, DEEP-SEA RES PT II, V55, P801, DOI 10.1016/j.dsr2.2007.12.003
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Obernosterer I, 2008, DEEP-SEA RES PT II, V55, P777, DOI 10.1016/j.dsr2.2007.12.005
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Pollard RT, 2009, NATURE, V457, P577, DOI 10.1038/nature07716
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rink B, 2007, AQUAT MICROB ECOL, V48, P47, DOI 10.3354/ame048047
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Tortell PD, 1996, NATURE, V383, P330, DOI 10.1038/383330a0
Uitz J, 2009, DEEP-SEA RES PT I, V56, P541, DOI 10.1016/j.dsr.2008.11.006
van Hannen EJ, 1999, APPL ENVIRON MICROB, V65, P2478
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Zubkov MV, 2007, DEEP-SEA RES PT II, V54, P2126, DOI 10.1016/j.dsr2.2007.06.020
NR 38
TC 29
Z9 30
PD NOV
PY 2011
VL 56
IS 6
BP 2391
EP 2401
DI 10.4319/lo.2011.56.6.2391
UT WOS:000299349700035
DA 2025-07-30
ER
PT J
AU Olson, DK
Yoshizawa, S
Boeuf, D
Iwasaki, W
DeLong, EF
AF Olson, Daniel K.
Yoshizawa, Susumu
Boeuf, Dominique
Iwasaki, Wataru
DeLong, Edward F.
TI Proteorhodopsin variability and distribution in the North Pacific
Subtropical Gyre
SO ISME JOURNAL
DT Article
AB Proteorhodopsin is a light-activated retinal-containing proton pump found in many marine bacteria. These photoproteins are globally distributed in the ocean's photic zone and are capable of generating a proton motive force across the cell membrane. We investigated the phylogenetic diversity, distribution, and abundance of proteorhodopsin encoding genes in free-living bacterioplankton in the North Pacific Subtropical Gyre, leveraging a gene catalog derived from metagenomic samples from the ocean's surface to 1000 m depth. Proteorhodopsin genes were identified at all depths sampled, but were most abundant at depths shallower than 200 m. The majority of proteorhodopsin gene sequences (60.9%) belonged to members of the SAR11 lineage, with remaining sequences distributed among other diverse taxa. We observed variations in the conserved residues involved in ion pumping and spectral tuning, and biochemically confirmed four different proton pumping proteorhodopsin motifs, including one unique to deep-water SAR11. We also identified a new group of putative proteorhodopsins having unknown function. Our results reveal a broad organismal and unexpected depth distribution for different proteorhodopsin types, as well as substantial within-taxon variability. These data provide a framework for exploring the ecological relevance of proteorhodopsins and their spatiotemporal variation and function in heterotrophic bacteria in the open ocean.
C1 [Olson, Daniel K.; Boeuf, Dominique; DeLong, Edward F.] Univ Hawaii, Dept Oceanog, Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
[Yoshizawa, Susumu; Iwasaki, Wataru] Univ Tokyo, Atmosphere & Ocean Res Inst, Chiba 2778564, Japan.
[Iwasaki, Wataru] Univ Tokyo, Grad Sch Sci, Dept Biol Sci, Tokyo 1130032, Japan.
RP DeLong, EF (corresponding author), Univ Hawaii, Dept Oceanog, Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
EM edelong@hawaii.edu
CR BAYLEY H, 1981, P NATL ACAD SCI-BIOL, V78, P2225, DOI 10.1073/pnas.78.4.2225
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bennett S, 2004, PHARMACOGENOMICS, V5, P433, DOI 10.1517/14622416.5.4.433
Boeuf D, 2015, MICRHODE CURATED DAT
BOGOMOLNI RA, 1982, P NATL ACAD SCI-BIOL, V79, P6250, DOI 10.1073/pnas.79.20.6250
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
BRAIMAN MS, 1988, BIOCHEMISTRY-US, V27, P8516, DOI 10.1021/bi00423a002
Bryant JA, 2016, ISME J, V10, P1308, DOI 10.1038/ismej.2015.221
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
Dioumaev AK, 2003, BIOCHEMISTRY-US, V42, P6582, DOI 10.1021/bi034253r
Durbin R., 1998, Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
Ernst OP, 2014, CHEM REV, V114, P126, DOI 10.1021/cr4003769
Feng S, 2013, ISME J, V7, P2206, DOI 10.1038/ismej.2013.97
Finn RD, 2015, NUCLEIC ACIDS RES, V43, pW30, DOI 10.1093/nar/gkv397
Francy J-I, 2017, FEMS MICROBIOLOGY EC, V93
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haddock SHD, 2010, ANNU REV MAR SCI, V2, P443, DOI 10.1146/annurev-marine-120308-081028
Hohmann-Marriott MF, 2011, ANNU REV PLANT BIOL, V62, P515, DOI 10.1146/annurev-arplant-042110-103811
Huerta-Cepas J, 2016, NUCLEIC ACIDS RES, V44, pD286, DOI 10.1093/nar/gkv1248
Huerta-Cepas J, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-24
Hunt KA, 2010, J BACTERIOL, V192, P3345, DOI 10.1128/JB.00090-10
Inoue K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13415
Inoue K, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2689
Irieda H, 2012, J BIOL CHEM, V287, P32485, DOI 10.1074/jbc.M112.390864
Joshi N.A., 2011, Sickle: A Sliding-Window, Adaptive, Quality-Based Trimming Tool for FastQ Files
Karl DM, 2017, ECOSYSTEMS, V20, P433, DOI 10.1007/s10021-017-0117-0
Kelemen BR, 2003, BBA-BIOMEMBRANES, V1618, P25, DOI 10.1016/j.bbamem.2003.10.002
Kim JYH, 2012, MICROB CELL FACT, V11, DOI 10.1186/1475-2859-11-2
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Lin SJ, 2010, P NATL ACAD SCI USA, V107, P20033, DOI 10.1073/pnas.1007246107
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
Masella AP, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-31
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Mende DR, 2013, NAT METHODS, V10, P881, DOI [10.1038/NMETH.2575, 10.1038/nmeth.2575]
OESTERHELT D, 1971, NATURE-NEW BIOL, V233, P149, DOI 10.1038/newbio233149a0
OESTERHELT D, 1973, P NATL ACAD SCI USA, V70, P2853, DOI 10.1073/pnas.70.10.2853
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
OTTO H, 1989, P NATL ACAD SCI USA, V86, P9228, DOI 10.1073/pnas.86.23.9228
Philosof A, 2013, ENV MICROBIOL REP, V5, P475, DOI 10.1111/1758-2229.12037
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Ruch S, 2005, MOL MICROBIOL, V55, P1015, DOI 10.1111/j.1365-2958.2004.04460.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sunagawa S, 2013, NAT METHODS, V10, P1196, DOI [10.1038/NMETH.2693, 10.1038/nmeth.2693]
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
Wang Z, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038749
Waterhouse AM, 2009, BIOINFORMATICS, V25, P1189, DOI 10.1093/bioinformatics/btp033
Wilson ST, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.118
Yoshizawa S, 2014, P NATL ACAD SCI USA, V111, P6732, DOI 10.1073/pnas.1403051111
Yoshizawa S, 2012, ENVIRON MICROBIOL, V14, P1240, DOI 10.1111/j.1462-2920.2012.02702.x
Yutin N, 2012, BIOL DIRECT, V7, DOI 10.1186/1745-6150-7-34
NR 64
TC 44
Z9 49
PD APR
PY 2018
VL 12
IS 4
BP 1047
EP 1060
DI 10.1038/s41396-018-0074-4
UT WOS:000427917700010
DA 2025-07-30
ER
PT J
AU Topping, JN
Heywood, JL
Ward, P
Zubkov, MV
AF Topping, Juliette N.
Heywood, Jane L.
Ward, Peter
Zubkov, Mikhail V.
TI Bacterioplankton composition in the Scotia Sea, Antarctica, during the
austral summer of 2003
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Physical ocean processes (ice-melt, island run-off and upwelling of nutrients) were hypothesised to affect the bacterioplankton composition in the surface mixed layer of the Scotia Sea during the austral summer of 2003, and this was investigated using flow cytometry and catalysed reporter deposition fluorescence in situ hybridisation (CARD-FISH) techniques. The bacterioplankton was composed predominantly of Alphaproteobacteria (PB), comprising SAR11, Roseobacter spp. and SAR116 groups, followed by Sphingobacteria/Flavobacteria and Gammaproteobacteria, including SAR86. Two distinct bacterioplankton communities were identified, largely based on bacterioplankton abundance, which varied from 0.3 +/- 0.06 x 10(6) cells ml(-1) in the west to 0.8 +/- 0.3 x 10(6) cells ml(-1) in the east, and a corresponding difference in SAR11 percentages of 30 +/- 15% in the west compared to 5 +/- 5% in the east. The western community was present in waters that were largely in an over-wintered, pre-bloom condition. The eastern bacterioplankton community was associated with phytoplankton blooms developed within the eastern Scotia Sea nutrient upwelling zone, where the Antarctic Circumpolar Current (ACC) encounters the shallow bathymetry associated with the Scotia Arc, in combination with seasonal ice-melt and island effects that enabled surface water stratification.
C1 Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
British Antarctic Survey, NERC, Cambridge CB3 0ET, England.
RP Topping, JN (corresponding author), Natl Oceanog Ctr, European Way, Southampton SO14 3ZH, Hants, England.
EM jzt@noc.soton.ac.uk
CR AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
Brown SL, 2001, J GEOPHYS RES-OCEANS, V106, P13917, DOI 10.1029/1999JC000188
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
Clarke K.R., 2001, PRIMER V5 USER MANUA
Clarke K R., 1994, An approach to statistical analysis and interpretation
Delille D, 2003, OCEANOL ACTA, V26, P225, DOI 10.1016/S0399-1784(03)00031-8
Delille D, 2002, AQUAT MICROB ECOL, V28, P257, DOI 10.3354/ame028257
DELILLE D, 1992, POLAR BIOL, V12, P205
Delille D, 1996, POLAR BIOL, V16, P27, DOI 10.1007/BF01876826
Ducklow H, 2001, DEEP-SEA RES PT II, V48, P4199, DOI 10.1016/S0967-0645(01)00086-8
Ducklow H., 2000, MICROBIAL ECOLOGY OC
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Garrity G., 2001, Bergeys Manual of Systematic Bacteriology, P1
Giesenhagen HC, 1999, AQUAT MICROB ECOL, V20, P183, DOI 10.3354/ame020183
GROSSMANN S, 1994, MICROB ECOL, V28, P1, DOI 10.1007/BF00170244
GROSSMANN S, 1994, APPL ENVIRON MICROB, V60, P2746, DOI 10.1128/AEM.60.8.2746-2753.1994
Korb RE, 2005, J MARINE SYST, V57, P231, DOI 10.1016/j.jmarsys.2005.04.009
Lochte K, 1997, DEEP-SEA RES PT II, V44, P321, DOI 10.1016/S0967-0645(96)00081-1
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NEEF A, 1997, APPL SITU IDENTIFICA
Pedrós-Alió C, 2002, DEEP-SEA RES PT II, V49, P805, DOI 10.1016/S0967-0645(01)00125-4
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Umani SF, 2005, J MARINE SYST, V55, P31, DOI 10.1016/j.jmarsys.2004.05.030
Ward P, 2006, MAR ECOL PROG SER, V309, P75, DOI 10.3354/meps309075
ZDANOWSKI MK, 1993, POLAR BIOL, V13, P245
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
NR 35
TC 14
Z9 17
PD DEC 21
PY 2006
VL 45
IS 3
BP 229
EP 235
DI 10.3354/ame045229
UT WOS:000243607700003
DA 2025-07-30
ER
PT J
AU BRITSCHGI, TB
GIOVANNONI, SJ
AF BRITSCHGI, TB
GIOVANNONI, SJ
TI PHYLOGENETIC ANALYSIS OF A NATURAL MARINE BACTERIOPLANKTON POPULATION BY
RIBOSOMAL-RNA GENE CLONING AND SEQUENCING
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The identification of the prokaryotic species which constitute marine bacterioplankton communities has been a long-standing problem in marine microbiology. To address this question, we used the polymerase chain reaction to construct and analyze a library of 51 small-subunit (16S) rRNA genes cloned from Sargasso Sea bacterioplankton genomic DNA. Oligonucleotides complementary to conserved regions in the 16S rDNAs of eubacteria were used to direct the synthesis of polymerase chain reaction products, which were then cloned by blunt-end ligation into the phagemid vector pBluescript. Restriction fragment length polymorphisms and hybridizations to oligonucleotide probes for the SAR11 and marine Synechococcus phylogenetic groups indicated the presence of at least seven classes of genes. The sequences of five unique rDNAs were determined completely. In addition to 16S rRNA genes from the marine Synechococcus cluster and the previously identified but uncultivated microbial group, the SAR11 cluster [S. J. Giovannoni, T. B. Britschgi, C. L. Moyer, and K. G. Field, Nature (London) 345:60-63], two new gene classes were observed. Phylogenetic comparisons indicated that these belonged to unknown species of alpha- and gamma-proteobacteria. The data confirm the earlier conclusion that a majority of planktonic bacteria are new species previously unrecognized by bacteriologists.
C1 OREGON STATE UNIV, DEPT MICROBIOL, CORVALLIS, OR 97331 USA.
CR [Anonymous], 1969, Mammalian Protein Metabolism, DOI DOI 10.1016/B978-1-4832-3211-9.50009-7
BALDARI C, 1985, GENE, V35, P27, DOI 10.1016/0378-1119(85)90154-4
BROSIUS J, 1981, J MOL BIOL, V148, P107, DOI 10.1016/0022-2836(81)90508-8
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
FENCHEL T, 1988, ANNU REV ECOL SYST, V19, P19, DOI 10.1146/annurev.es.19.110188.000315
FERGUSON RL, 1984, APPL ENVIRON MICROB, V47, P49, DOI 10.1128/AEM.47.1.49-55.1984
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P720, DOI 10.1128/jb.170.2.720-726.1988
GUTELL RR, 1985, PROG NUCLEIC ACID RE, V32, P155, DOI 10.1016/S0079-6603(08)60348-7
HAGSTROM A, 1988, MAR ECOL PROG SER, V49, P171, DOI 10.3354/meps049171
HARASHIMA K, 1987, PLANT CELL PHYSIOL, V28, P365
HARASHIMA K, 1989, AEROBIC PHOTOSYNTHET, P41
HOLMES DS, 1981, ANAL BIOCHEM, V114, P193, DOI 10.1016/0003-2697(81)90473-5
JANNASCH HW, 1959, LIMNOL OCEANOGR, V4, P128, DOI 10.4319/lo.1959.4.2.0128
KOGURE K, 1979, CAN J MICROBIOL, V25, P415, DOI 10.1139/m79-063
LANE DJ, 1988, METHOD ENZYMOL, V167, P138
OHYAMA K, 1986, PL MOL BIOL REP, V4, P148
OKAMURA K, 1985, ARCH MICROBIOL, V142, P12, DOI 10.1007/BF00409229
OLSEN GJ, 1988, METHOD ENZYMOL, V164, P793
PACE NR, 1986, ADV MICROB ECOL, V9, P1
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
REPETA DJ, 1987, GEOCHIM COSMOCHIM AC, V51, P1001, DOI 10.1016/0016-7037(87)90111-6
SAIKI RK, 1988, SCIENCE, V239, P487, DOI 10.1126/science.2448875
SANGER F, 1977, P NATL ACAD SCI USA, V74, P5463, DOI 10.1073/pnas.74.12.5463
Selander R.K., 1987, ESCHERICHIA COLI SAL, P1625
SGARAMELLA V, 1972, J MOL BIOL, V72, P427, DOI 10.1016/0022-2836(72)90155-6
SHIOI Y, 1986, PLANT CELL PHYSIOL, V27, P567
STAHL DA, 1988, APPL ENVIRON MICROB, V54, P1079, DOI 10.1128/AEM.54.5.1079-1084.1988
TOMIOKA N, 1983, MOL GEN GENET, V191, P46, DOI 10.1007/BF00330888
TURNER S, 1989, NATURE, V337, P380, DOI 10.1038/337380a0
VALLE O, 1990, SYST APPL MICROBIOL, V13, P257, DOI 10.1016/S0723-2020(11)80195-5
WARD DM, 1990, NATURE, V345, P63, DOI 10.1038/345063a0
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
WATERBURY JB, UNPUB
WEISBURG WG, 1985, SCIENCE, V230, P556, DOI 10.1126/science.3931222
WILLIAMS PJ, 1970, J MAR BIOL ASSOC UK, V50, P859, DOI 10.1017/S0025315400005841
WOESE CR, 1985, SCIENCE, V229, P762
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
WOOD AM, 1990, J PHYCOL, V26, P576, DOI 10.1111/j.0022-3646.1990.00576.x
YANG D, 1985, P NATL ACAD SCI USA, V82, P4443, DOI 10.1073/pnas.82.13.4443
NR 41
TC 194
Z9 209
PD JUN
PY 1991
VL 57
IS 6
BP 1707
EP 1713
DI 10.1128/AEM.57.6.1707-1713.1991
UT WOS:A1991FP56400021
DA 2025-07-30
ER
PT J
AU Xie, ZX
He, YB
Wang, MH
Zhang, SF
Kong, LF
Lin, L
Liu, SQ
Wang, DZ
AF Xie, Zhang-Xian
He, Yan-Bin
Wang, Ming-Hua
Zhang, Shu-Feng
Kong, Ling-Fen
Lin, Lin
Liu, Si-Qi
Wang, Da-Zhi
TI Dissecting microbial community structure and metabolic activities at an
oceanic deep chlorophyll maximum layer by size-fractionated
metaproteomics
SO PROGRESS IN OCEANOGRAPHY
DT Article
AB The deep chlorophyll maximum (DCM), a critical layer in the ocean characterized by the highest biomass and productivity, determines marine productivity, biogeochemical cycling and carbon sequestration. However, a comprehensive understanding of microbial community structure and metabolic activities in this layer is lacking in several parts of the oceans. Here, we characterized the whole spectrum of proteins covering three size fractions (0.7-200 mu m, 0.2-0.7 mu m, 10 kDa-0.2 mu m) in the DCM of the South China Sea using a metaproteomic approach. A total of 17 724 non-redundant proteins were confidently identified. Proteins from Cyanobacteria, SAR11, nitrite-oxidizing bacteria, Archaea, eukaryotic phytoplankton and phototroph-associated viruses were abundant. These organisms were actively involved in diverse biogeochemical processes including light-dependent energy transduction, carbon fixation, nitrification, sulfur metabolism, dissolved organic matter (DOM) uptake, and C1 and methylated compounds oxidation. Furthermore, chemolithoautotrophic activity of Nitrospinae and Thaumarchaea complemented carbon fixation pathways in this habitat. Notably, photoheterotrophic activity of SAR11 and PVC (Planctomycetes, Verrucomicrobia and Chlamydiae) bacteria and mixotrophic activity of photoautotrophs suggested diverse regulation channels of light on microbe-mediated DOM recycling. This in-depth metaproteomic study provides a holistic view of microbial community and metabolic activities in the DCM, and uncovers novel biogeochemical processes, especially those previously ignored but potentially active in the smallest fraction.
C1 [Xie, Zhang-Xian; Wang, Ming-Hua; Zhang, Shu-Feng; Kong, Ling-Fen; Lin, Lin; Wang, Da-Zhi] Xiamen Univ, State Key Lab Marine Environm Sci, Coll Environm & Ecol, Xiamen 361005, Peoples R China.
[Xie, Zhang-Xian; Zhang, Shu-Feng; Wang, Da-Zhi] Sun Yat Sen Univ, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China.
[He, Yan-Bin; Liu, Si-Qi] BGI Shenzhen, Shenzhen 518083, Peoples R China.
RP Wang, DZ (corresponding author), Xiamen Univ, State Key Lab Marine Environm Sci, Coll Environm & Ecol, Xiamen 361005, Peoples R China.
EM dzwang@xmu.edu.cn
CR Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Armengaud J, 2012, EXPERT REV PROTEOMIC, V9, P561, DOI [10.1586/EPR.12.52, 10.1586/epr.12.52]
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Carini P, 2018, ENVIRON MICROBIOL, V20, P2112, DOI 10.1111/1462-2920.14107
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chen F, 1996, APPL ENVIRON MICROB, V62, P2869, DOI 10.1128/AEM.62.8.2869-2874.1996
Clokie MRJ, 2006, ENVIRON MICROBIOL, V8, P827, DOI 10.1111/j.1462-2920.2005.00969.x
Dai MH, 2013, GEOPHYS RES LETT, V40, P2154, DOI 10.1002/grl.50390
Dickson Robert P., 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.113, DOI 10.1038/NMICROBIOL.2016.65]
Dong HP, 2010, LIMNOL OCEANOGR, V55, P1565, DOI 10.4319/lo.2010.55.4.1565
Du CJ, 2017, GEOPHYS RES LETT, V44, P11510, DOI 10.1002/2017GL074921
Eloe EA, 2011, ENV MICROBIOL REP, V3, P449, DOI 10.1111/j.1758-2229.2010.00223.x
Eyice Ö, 2018, ISME J, V12, P145, DOI 10.1038/ismej.2017.148
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gobler CJ, 2011, P NATL ACAD SCI USA, V108, P4352, DOI 10.1073/pnas.1016106108
Guo C, 2012, BIOGEOSCIENCES, V9, P1519, DOI 10.5194/bg-9-1519-2012
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Huisman J, 2006, NATURE, V439, P322, DOI 10.1038/nature04245
Hurwitz BL, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r123
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Joshi GS, 2009, J BACTERIOL, V191, P4243, DOI 10.1128/JB.01795-08
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kerou M, 2016, P NATL ACAD SCI USA, V113, pE7937, DOI 10.1073/pnas.1601212113
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Lund MB, 2012, ISME J, V6, P1966, DOI 10.1038/ismej.2012.40
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Paoletti AC, 2006, P NATL ACAD SCI USA, V103, P18928, DOI 10.1073/pnas.0606379103
Qin W, 2018, ISME J, V12, P508, DOI 10.1038/ismej.2017.186
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Santoro AE, 2011, SCIENCE, V333, P1282, DOI 10.1126/science.1208239
Sharon I, 2007, ISME J, V1, P492, DOI 10.1038/ismej.2007.67
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Sun J, 2019, ENVIRON MICROBIOL, V21, P513, DOI 10.1111/1462-2920.14461
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Valentine R.L., 1993, ENVIRON SCI TECHNOL, V27, P24
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vizcaíno JA, 2013, NUCLEIC ACIDS RES, V41, pD1063, DOI 10.1093/nar/gks1262
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Wang DZ, 2014, J PROTEOMICS, V97, P27, DOI 10.1016/j.jprot.2013.08.024
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wisniewski JR, 2009, NAT METHODS, V6, P359, DOI [10.1038/nmeth.1322, 10.1038/NMETH.1322]
Xie ZX, 2018, ENVIRON MICROBIOL, V20, P477, DOI 10.1111/1462-2920.13937
Yelton AP, 2016, ISME J, V10, P2946, DOI 10.1038/ismej.2016.64
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
NR 64
TC 4
Z9 5
PD OCT
PY 2020
VL 188
AR 102439
DI 10.1016/j.pocean.2020.102439
UT WOS:000582696800018
DA 2025-07-30
ER
PT J
AU DeWall, MT
Cheng, DW
AF DeWall, Michael Thomas
Cheng, Davis W.
TI The minimal genome-a metabolic and environmental comparison
SO BRIEFINGS IN FUNCTIONAL GENOMICS
DT Article
AB The field of Synthetic Biology seeks to apply engineering principles to biology in order to produce novel biological systems. One approach to accomplish this goal is the genome-driven cell engineering approach, which searches for functioning minimal genomes in naturally occurring microorganisms, which can then be used as a template for future systems. Currently a prototypical minimal genome has not been discovered. This review analyzes the organisms Mycoplasma pneumoniae, Pelagibacter ubique, Vesicomyosocius okutanii and Prochlorococcus marinus as models of heterotrophic symbiont, heterotrophic free-living, autotrophic symbiont and autotrophic free-living organisms respectively and compares them to the current minimal cell model in order to determine which most closely resembles a true minimal genome. M. pneumoniae possesses a genome of 816 394 base pairs (bp) with 688 open reading frames (ORF) and a severely limited metabolism. Pelagibacter ubique possesses a 1 308 000 bp genome with 1354 ORF and has a fully functional metabolism but requires a reduced form of sulphur. Vesicomyosocius okutanii possesses a 1 020 000 bp genome with 975 ORF and is deficient in the production of threonine, isoleucine and ubiquinone. Prochlorococcus marinus possesses a 1 751 080 bp genome with 1884 ORF and has a complete metabolism with no deficiencies. The current minimal cell model requires a genome to be of limited size, culturalble and having minimal media requirements as such it is the conclusion of this review that P. marinus best fits this model. Further, future research should concentrate on genome reduction experiments using P. marinus and the search for additional minimal genomes should concentrate on autotrophic free-living organisms.
C1 [Cheng, Davis W.] Calif State Univ Fresno, Dept Biol, Res Infrastruct Minor Inst, Fresno, CA 93740 USA.
RP Cheng, DW (corresponding author), Calif State Univ Fresno, Dept Biol, Res Infrastruct Minor Inst, Fresno, CA 93740 USA.
EM dcheng@csufresno.edu
CR Andrianantoandro E, 2006, MOL SYST BIOL, V2, DOI 10.1038/msb4100073
Dandekar T, 2000, NUCLEIC ACIDS RES, V28, P3278, DOI 10.1093/nar/28.17.3278
DEAN B, 1911, SCIENCE, V33, P304
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Forster AC, 2006, MOL SYST BIOL, V2, DOI 10.1038/msb4100090
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Güell M, 2009, SCIENCE, V326, P1268, DOI 10.1126/science.1176951
Haseloff J, 2009, J R SOC INTERFACE, V6, DOI 10.1098/rsif.2009.0176.focus
Heinemann M, 2006, BIOINFORMATICS, V22, P2790, DOI 10.1093/bioinformatics/btl469
Himmelreich R, 1996, NUCLEIC ACIDS RES, V24, P4420, DOI 10.1093/nar/24.22.4420
Kühner S, 2009, SCIENCE, V326, P1235, DOI 10.1126/science.1176343
Kuwahara H, 2008, EXTREMOPHILES, V12, P365, DOI 10.1007/s00792-008-0141-2
Lane CE, 2007, CURR BIOL, V17, pR508, DOI 10.1016/j.cub.2007.04.035
Luisi PL, 2006, NATURWISSENSCHAFTEN, V93, P1, DOI 10.1007/s00114-005-0056-z
Marais GAB, 2008, GENETICA, V134, P205, DOI 10.1007/s10709-007-9226-6
Morowitz H.J., 1992, BEGINNINGS CELLULAR
Moya A, 2009, FEMS MICROBIOL REV, V33, P225, DOI 10.1111/j.1574-6976.2008.00151.x
Mulkidjanian AY, 2006, P NATL ACAD SCI USA, V103, P13126, DOI 10.1073/pnas.0605709103
O'Malley MA, 2008, BIOESSAYS, V30, P57, DOI 10.1002/bies.20664
Strehl B, 1999, FEMS MICROBIOL LETT, V181, P261, DOI 10.1111/j.1574-6968.1999.tb08853.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vartoukian SR, 2010, FEMS MICROBIOL LETT, V309, P1, DOI 10.1111/j.1574-6968.2010.02000.x
Waites KB, 2004, CLIN MICROBIOL REV, V17, P697, DOI 10.1128/CMR.17.4.697-728.2004
Yus E, 2009, SCIENCE, V326, P1263, DOI 10.1126/science.1177263
NR 24
TC 16
Z9 20
PD SEP
PY 2011
VL 10
IS 5
BP 312
EP 315
DI 10.1093/bfgp/elr030
UT WOS:000295886400006
DA 2025-07-30
ER
PT J
AU Cram, JA
Parada, AE
Fuhrman, JA
AF Cram, Jacob A.
Parada, Alma E.
Fuhrman, Jed A.
TI Dilution reveals how viral lysis and grazing shape microbial communities
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Grazing by protists and viral infection are the main known sources of marine bacterial mortality, and both processes shape the structure and ecology of microbial communities. We diluted planktonic microbial communities to determine how decreasing the encounter rate between bacteria, grazers, and viruses affects community structure. In experimental treatments, sea water was diluted 10-fold in water from which protists and bacteria had been removed (0.2 mu m filtered), or from which protists bacteria and viruses had been removed (0.02 mu m filtered). In both dilution treatments, bacterial and protistan communities generally recovered within 3 d to near their original abundances, but viruses did not. The microbial community structure of bacteria in both diluted treatments was significantly different from untreated control communities, after 3 d, and significantly different between the 0.2 mu m and 0.02 mu m dilution treatments after 6 d. Diluted treatments were dominated by operational taxonomic units that are normally rare in near-surface seawater, including some normally more abundant in the deep water at this location such as SAR324 and SAR406, while abundant surface taxa including SAR11 did not increase in abundance after dilution. These results are consistent with the hypothesis that microbes face a tradeoff between fast growth and resistance to predation and infection, and that microbes that are normally most abundant in the California coastal surface waters (such as SAR11 and Actinobacteria) are both more grazer resistant and slower growing than potentially opportunistic organisms that are rare in surface water but capable of fast net growth when grazers or viruses are removed.
C1 [Cram, Jacob A.; Parada, Alma E.; Fuhrman, Jed A.] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
[Cram, Jacob A.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
RP Cram, JA (corresponding author), Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.; Cram, JA (corresponding author), Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
EM cramjaco@gmail.com
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
Anderson R, 2012, MAR ECOL PROG SER, V467, P1, DOI 10.3354/meps10001
Benner R, 1997, MAR CHEM, V57, P243, DOI 10.1016/S0304-4203(97)00013-3
Bonilla-Findji O, 2009, APPL ENVIRON MICROB, V75, P4801, DOI 10.1128/AEM.01376-08
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Chow CET, 2012, ENVIRON MICROBIOL, V14, P2171, DOI 10.1111/j.1462-2920.2012.02744.x
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Eckert EM, 2013, ENVIRON MICROBIOL, V15, P2019, DOI 10.1111/1462-2920.12083
FUHRMAN JA, 1985, MAR ECOL PROG SER, V25, P13, DOI 10.3354/meps025013
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gonzalez JM, 1996, MAR BIOL, V126, P785, DOI 10.1007/BF00351345
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Hahn MW, 2001, FEMS MICROBIOL ECOL, V35, P113, DOI 10.1111/j.1574-6941.2001.tb00794.x
Hewson I, 2003, MICROB ECOL, V46, P337, DOI 10.1007/s00248-002-1041-0
IRIBERRI J, 1987, APPL ENVIRON MICROB, V53, P2308, DOI 10.1128/AEM.53.10.2308-2314.1987
Jardillier L, 2005, MICROB ECOL, V50, P557, DOI 10.1007/s00248-005-5030-y
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Jürgens K, 1999, APPL ENVIRON MICROB, V65, P1241
JURGENS K, 1994, MAR ECOL PROG SER, V112, P169, DOI 10.3354/meps112169
Jurgens K., 2008, Microbial Ecology of the Oceans, P383, DOI DOI 10.1002/9780470281840.CH11
Kimmance SA, 2007, AQUAT MICROB ECOL, V49, P207, DOI 10.3354/ame01136
Labrie SJ, 2010, NAT REV MICROBIOL, V8, P317, DOI 10.1038/nrmicro2315
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
LANDRY MR, 1982, MAR BIOL, V67, P283, DOI 10.1007/BF00397668
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Matz C, 2005, TRENDS MICROBIOL, V13, P302, DOI 10.1016/j.tim.2005.05.009
Moriarty GL, 2008, J SPIRITUAL MENT HE, V9, P1, DOI 10.1300/J515v09n03_01
Nagata T., 2008, Microbial Ecology of the Oceans, P207, DOI DOI 10.1002/9780470281840.CH7
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Pasulka AL, 2015, J PLANKTON RES, V37, P320, DOI 10.1093/plankt/fbv011
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Schmoker C, 2013, J PLANKTON RES, V35, P691, DOI 10.1093/plankt/fbt023
Schwalbach MS, 2004, AQUAT MICROB ECOL, V34, P117, DOI 10.3354/ame034117
Simek K, 2001, APPL ENVIRON MICROB, V67, P2723, DOI 10.1128/AEM.67.6.2723-2733.2001
Simek K, 1999, LIMNOL OCEANOGR, V44, P1634
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Strom S.L., 2000, MICROBIAL ECOLOGY OC, P351
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Suzuki MT, 1999, AQUAT MICROB ECOL, V20, P261, DOI 10.3354/ame020261
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Våge S, 2013, ENVIRON MICROBIOL, V15, P1842, DOI 10.1111/1462-2920.12077
Weinbauer MG, 2007, ENVIRON MICROBIOL, V9, P777, DOI 10.1111/j.1462-2920.2006.01200.x
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
WILCOX RM, 1994, MAR ECOL PROG SER, V114, P35, DOI 10.3354/meps114035
Wilhelm SW, 2002, MICROBIAL ECOL, V43, P168, DOI 10.1007/s00248-001-1021-9
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
NR 61
TC 42
Z9 46
PD MAY
PY 2016
VL 61
IS 3
BP 889
EP 905
DI 10.1002/lno.10259
UT WOS:000375748400007
DA 2025-07-30
ER
PT J
AU Thiele, S
Fuchs, BM
Ramaiah, N
Amann, R
AF Thiele, Stefan
Fuchs, Bernhard M.
Ramaiah, Nagappa
Amann, Rudolf
TI Microbial Community Response during the Iron Fertilization Experiment
LOHAFEX
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Iron fertilization experiments in high-nutrient, low-chlorophyll areas are known to induce phytoplankton blooms. However, little is known about the response of the microbial community upon iron fertilization. As part of the LOHAFEX experiment in the southern Atlantic Ocean, Bacteria and Archaea were monitored within and outside an induced bloom, dominated by Phaeocystis- like nanoplankton, during the 38 days of the experiment. The microbial production increased 1.6-fold (thymidine uptake) and 2.1-fold (leucine uptake), while total cell numbers increased only slightly over the course of the experiment. 454 tag pyrosequencing of partial 16S rRNA genes and catalyzed reporter deposition fluorescence in situ hybridization (CARD FISH) showed that the composition and abundance of the bacterial and archaeal community in the iron-fertilized water body were remarkably constant without development of typical bloom-related succession patterns. Members of groups usually found in phytoplankton blooms, such as Roseobacter and Gammaproteobacteria, showed no response or only a minor response to the bloom. However, sequence numbers and total cell numbers of the SAR11 and SAR86 clades increased slightly but significantly toward the end of the experiment. It seems that although microbial productivity was enhanced within the fertilized area, a succession-like response of the microbial community upon the algal bloom was averted by highly effective grazing. Only small-celled members like the SAR11 and SAR86 clades could possibly escape the grazing pressure, explaining a net increase of those clades in numbers.
C1 [Thiele, Stefan; Fuchs, Bernhard M.; Amann, Rudolf] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Ramaiah, Nagappa] Natl Inst Oceanog, Panaji, Goa, India.
RP Fuchs, BM (corresponding author), Max Planck Inst Marine Microbiol, Bremen, Germany.
EM bfuchs@mpi-bremen.de
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Arrieta JM, 2004, LIMNOL OCEANOGR, V49, P799, DOI 10.4319/lo.2004.49.3.0799
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Coale KH, 2004, SCIENCE, V304, P408, DOI 10.1126/science.1089778
Cochlan WP, 2001, LIMNOL OCEANOGR, V46, P428, DOI 10.4319/lo.2001.46.2.0428
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
de Baar H.J.W., 2001, Biogeochemistry of Iron in Seawater, IUPAC Book Series on Analytical and Physical Chemistry of Environmental Systems, V7, P123
Ducklow Hugh W., 2001, Oceanography, V14, P50
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
FENCHEL T, 1986, ADV MICROB ECOL, V9, P57
Frette L, 2010, AQUAT MICROB ECOL, V60, P29, DOI 10.3354/ame01410
Frias-Lopez J, 2009, ENVIRON MICROBIOL, V11, P512, DOI 10.1111/j.1462-2920.2008.01793.x
Fuchs BM, 2000, APPL ENVIRON MICROB, V66, P3603, DOI 10.1128/AEM.66.8.3603-3607.2000
FUHRMAN JA, 1980, APPL ENVIRON MICROB, V39, P1085, DOI 10.1128/AEM.39.6.1085-1095.1980
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Hall JA, 2001, DEEP-SEA RES PT II, V48, P2591, DOI 10.1016/S0967-0645(01)00010-8
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
KIRCHMAN DL, 1988, MAR ECOL PROG SER, V45, P169, DOI 10.3354/meps045169
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Labrenz M, 1998, INT J SYST BACTERIOL, V48, P1363, DOI 10.1099/00207713-48-4-1363
Lamy D, 2009, AQUAT MICROB ECOL, V58, P95, DOI 10.3354/ame01359
Lochte K, 1997, DEEP-SEA RES PT II, V44, P321, DOI 10.1016/S0967-0645(96)00081-1
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Makarenkov V, 2002, ECOLOGY, V83, P1146, DOI 10.1890/0012-9658(2002)083[1146:NRAACC]2.0.CO;2
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
MARTIN JH, 1994, NATURE, V371, P123, DOI 10.1038/371123a0
Martin JH, 1990, PALEOCEANOGRAPHY, V5, P1, DOI 10.1029/PA005i001p00001
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Neef A., 1997, ANWENDUNG IN SITU EI, DOI DOI 10.1016/S0723-2020(11)80121-9
Obernosterer I, 2008, DEEP-SEA RES PT II, V55, P777, DOI 10.1016/j.dsr2.2007.12.005
Oliver JL, 2004, LIMNOL OCEANOGR, V49, P2129, DOI 10.4319/lo.2004.49.6.2129
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pernthaler J, 2005, MICROBIOL MOL BIOL R, V69, P440, DOI 10.1128/MMBR.69.3.440-461.2005
Pernthaler J, 2003, APPL ENVIRON MICROB, V69, P2631, DOI 10.1128/AEM.69.5.2631-2637.2003
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 1999, AQUAT MICROB ECOL, V17, P13, DOI 10.3354/ame017013
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Puddu A, 2003, FEMS MICROBIOL ECOL, V46, P257, DOI 10.1016/S0168-6496(03)00197-1
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Smetacek V, 2012, NATURE, V487, P313, DOI 10.1038/nature11229
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thiele S, 2011, TREATISE ON WATER SCIENCE, VOL 3: AQUATIC CHEMISTRY AND BIOLOGY, P171
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Tortell PD, 1996, NATURE, V383, P330, DOI 10.1038/383330a0
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wiltshire KH, 2004, HELGOLAND MAR RES, V58, P269, DOI 10.1007/s10152-004-0196-0
Zhou JZ, 2011, ISME J, V5, P1303, DOI 10.1038/ismej.2011.11
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
Zubkov M, 2007, J PLANKTON RES, V29, P79
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 68
TC 41
Z9 44
PD DEC
PY 2012
VL 78
IS 24
BP 8803
EP 8812
DI 10.1128/AEM.01814-12
UT WOS:000311213200034
DA 2025-07-30
ER
PT J
AU Luo, HW
Cusros, M
Hughes, AL
Moran, MA
AF Luo, Haiwei
Cusros, Miklos
Hughes, Austin L.
Moran, Mary Ann
TI Evolution of Divergent Life History Strategies in Marine
Alphaproteobacteria
SO MBIO
DT Article
AB Marine bacteria in the Roseobacter and SAR11 lineages successfully exploit the ocean habitat, together accounting for similar to 40% of bacteria in surface waters, yet have divergent life histories that exemplify patch-adapted versus free-living ecological roles. Here, we use a phylogenetic birth-and-death model to understand how genome content supporting different life history strategies evolved in these related alphaproteobacterial taxa, showing that the streamlined genomes of free-living SAR11 were gradually downsized from a common ancestral genome only slightly larger than the extant members (similar to 2,000 genes), while the larger and variably sized genomes of roseobacters evolved along dynamic pathways from a sizeable common ancestor (similar to 8,000 genes). Genome changes in the SAR11 lineage occurred gradually over similar to 800 million years, whereas Roseobacter genomes underwent more substantial modifications, including major periods of expansion, over similar to 260 million years. The timing of the first Roseobacter genome expansion was coincident with the predicted radiation of modern marine eukaryotic phytoplankton of sufficient size to create nutrient-enriched microzones and is consistent with present-day ecological associations between these microbial groups. We suggest that diversification of red-lineage phytoplankton is an important driver of divergent life history strategies among the heterotrophic bacterioplankton taxa that dominate the present-day ocean.
IMPORTANCE One-half of global primary production occurs in the oceans, and more than half of this is processed by heterotrophic bacterioplankton through the marine microbial food web. The diversity of life history strategies that characterize different bacterioplankton taxa is an important subject, since the locations and mechanisms whereby bacteria interact with seawater organic matter has effects on microbial growth rates, metabolic pathways, and growth efficiencies, and these in turn affect rates of carbon mineralization to the atmosphere and sequestration into the deep sea. Understanding the evolutionary origins of the ecological strategies that underlie biochemical interactions of bacteria with the ocean system, and which scale up to affect globally important biogeochemical processes, will improve understanding of how microbial diversity is maintained and enable useful predictions about microbial response in the future ocean.
C1 [Luo, Haiwei; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Cusros, Miklos] Univ Montreal, Dept Comp Sci & Operat Res, Montreal, PQ, Canada.
[Hughes, Austin L.] Univ S Carolina, Dept Biol Sci, Columbia, SC 29208 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Åkerborg Ö, 2009, P NATL ACAD SCI USA, V106, P5714, DOI 10.1073/pnas.0806251106
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Azam F, 2007, NAT REV MICROBIOL, V5, P966, DOI 10.1038/nrmicro1787
Blackburn N, 1999, MAR ECOL PROG SER, V189, P1, DOI 10.3354/meps189001
Boussau B, 2004, P NATL ACAD SCI USA, V101, P9722, DOI 10.1073/pnas.0400975101
Cohen O, 2008, PHILOS T R SOC B, V363, P3903, DOI 10.1098/rstb.2008.0177
Csurös M, 2010, BIOINFORMATICS, V26, P1910, DOI 10.1093/bioinformatics/btq315
Csurös M, 2009, MOL BIOL EVOL, V26, P2087, DOI 10.1093/molbev/msp123
Dagan T, 2007, P NATL ACAD SCI USA, V104, P870, DOI 10.1073/pnas.0606318104
Didelot X, 2009, GENOME RES, V19, P306, DOI 10.1101/gr.082263.108
Falkowski PG, 2004, SCIENCE, V305, P354, DOI 10.1126/science.1095964
Foster PG, 1999, J MOL EVOL, V48, P284, DOI 10.1007/PL00006471
Foster PG, 2004, SYST BIOL, V53, P485, DOI 10.1080/10635150490445779
Gärdes A, 2011, ISME J, V5, P436, DOI 10.1038/ismej.2010.145
Galtier N, 2001, MOL BIOL EVOL, V18, P866, DOI 10.1093/oxfordjournals.molbev.a003868
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hao WL, 2006, GENOME RES, V16, P636, DOI 10.1101/gr.4746406
Hao WL, 2004, MOL BIOL EVOL, V21, P1294, DOI 10.1093/molbev/msh129
Hrdy I, 2004, NATURE, V432, P618, DOI 10.1038/nature03149
JACKSON GA, 1987, LIMNOL OCEANOGR, V32, P1253, DOI 10.4319/lo.1987.32.6.1253
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Kamneva OK, 2012, GENOME BIOL EVOL, V4, P1375, DOI 10.1093/gbe/evs113
Koonin EV, 2010, INTERVIROLOGY, V53, P284, DOI 10.1159/000312913
Kunin V, 2003, GENOME RES, V13, P1589, DOI 10.1101/gr.1092603
Lanfear R, 2012, MOL BIOL EVOL, V29, P1695, DOI 10.1093/molbev/mss020
Lapoussière A, 2011, J MARINE SYST, V88, P434, DOI 10.1016/j.jmarsys.2010.12.003
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lartillot N, 2009, BIOINFORMATICS, V25, P2286, DOI 10.1093/bioinformatics/btp368
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Makarova K, 2006, P NATL ACAD SCI USA, V103, P15611, DOI 10.1073/pnas.0607117103
Marinov I, 2010, BIOGEOSCIENCES, V7, P3941, DOI 10.5194/bg-7-3941-2010
Marri PR, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-S1-S8
Marri PR, 2006, MOL BIOL EVOL, V23, P2379, DOI 10.1093/molbev/msl115
Meunier J, 2013, GENOME RES, V23, P34, DOI 10.1101/gr.140269.112
Miller TR, 2006, ENVIRON MICROBIOL, V8, P1648, DOI 10.1111/j.1462-2920.2006.01071.x
Mirkin BG, 2003, BMC EVOL BIOL, V3, DOI 10.1186/1471-2148-3-2
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morán XAG, 2010, GLOBAL CHANGE BIOL, V16, P1137, DOI 10.1111/j.1365-2486.2009.01960.x
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Nei M, 2005, ANNU REV GENET, V39, P121, DOI 10.1146/annurev.genet.39.073003.112240
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nye TMW, 2009, STAT METHODS MED RES, V18, P587, DOI 10.1177/0962280208099450
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Riebesell U, 2009, P NATL ACAD SCI USA, V106, P20602, DOI 10.1073/pnas.0813291106
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Ronquist F, 2003, BIOINFORMATICS, V19, P1572, DOI 10.1093/bioinformatics/btg180
Sanderson MJ, 2003, BIOINFORMATICS, V19, P301, DOI 10.1093/bioinformatics/19.2.301
Slightom RN, 2009, APPL ENVIRON MICROB, V75, P6027, DOI 10.1128/AEM.01508-09
Snel B, 2002, GENOME RES, V12, P17, DOI 10.1101/gr.176501
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stocker R, 2008, P NATL ACAD SCI USA, V105, P4209, DOI 10.1073/pnas.0709765105
Szöllosi GJ, 2012, METHODS MOL BIOL, V856, P29, DOI 10.1007/978-1-61779-585-5_2
Tatusov RL, 1997, SCIENCE, V278, P631, DOI 10.1126/science.278.5338.631
Taylor GT, 2012, P NATL ACAD SCI USA, V109, P19315, DOI 10.1073/pnas.1207514109
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tuffley C, 1998, MATH BIOSCI, V147, P63, DOI 10.1016/S0025-5564(97)00081-3
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Wolf YI, 2012, BIOL DIRECT, V7, DOI 10.1186/1745-6150-7-46
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Yutin N, 2009, VIROL J, V6, DOI 10.1186/1743-422X-6-223
NR 64
TC 87
Z9 96
PD JUL-AUG
PY 2013
VL 4
IS 4
AR e00373-13
DI 10.1128/mBio.00373-13
UT WOS:000326881100020
DA 2025-07-30
ER
PT J
AU Wilhelm, LJ
Tripp, HJ
Givan, SA
Smith, DP
Giovannoni, SJ
AF Wilhelm, Larry J.
Tripp, H. James
Givan, Scott A.
Smith, Daniel P.
Giovannoni, Stephen J.
TI Natural variation in SARII marine bacterioplankton genomes inferred from
metagenomic data
SO BIOLOGY DIRECT
DT Article
AB Background: One objective of metagenomics is to reconstruct information about specific uncultured organisms from fragmentary environmental DNA sequences. We used the genome of an isolate of the marine alphaproteobacterium SARII ('Candidatus Pelagibacter ubique'; strain HTCC1062), obtained from the cold, productive Oregon coast, as a query sequence to study variation in SARII metagenome sequence data from the Sargasso Sea, a warm, oligotrophic ocean gyre. Results: The average amino acid identity of SARII genes encoded by the metagenomic data to the query genome was only 71%, indicating significant evolutionary divergence between the coastal isolates and Sargasso Sea populations. However, an analysis of gene neighbors indicated that SARII genes in the Sargasso Sea metagenomic data match the gene order of the HTCC1062 genome in 96% of cases (> 85,000 observations), and that rearrangements are most frequent at predicted operon boundaries. There were no conserved examples of genes with known functions being found in the coastal isolates, but not the Sargasso Sea metagenomic data, or vice versa, suggesting that core regions of these diverse SARII genomes are relatively conserved in gene content. However, four hypervariable regions were observed, which may encode properties associated with variation in SARII ecotypes. The largest of these, HVR2, is a 48 kb region flanked by the sole 5S and 23S genes in the HTCC1062 genome, and mainly encodes genes that determine cell surface properties. A comparison of two closely related 'Candidatus Pelagibacter' genomes (HTCC1062 and HTCC1002) revealed a number of "gene indels" in core regions. Most of these were found to be polymorphic in the metagenomic data and showed evidence of purifying selection, suggesting that the same "polymorphic gene indels" are maintained in physically isolated SARII populations. Conclusion: These findings suggest that natural selection has conserved many core features of SARII genomes across broad oceanic scales, but significant variation was found associated with four hypervariable genome regions. The data also led to the hypothesis that some gene insertions and deletions might be polymorphisms, similar to allelic polymorphisms.
C1 [Wilhelm, Larry J.; Tripp, H. James; Smith, Daniel P.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Givan, Scott A.] Oregon State Univ, Ctr Genome Res & Bioinformat, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM wilhelml@science.oregonstate.edu; tripph@onid.orst.edu;
givans@cgrb.oregonstate.edu; dansmith@orst.edu;
steve.giovannoni@oregonstate.edu
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
BASHFORD D, 1987, J MOL BIOL, V196, P199, DOI 10.1016/0022-2836(87)90521-3
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Berg OG, 2002, MOL BIOL EVOL, V19, P2265, DOI 10.1093/oxfordjournals.molbev.a004050
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Cohan FM, 2002, ANNU REV MICROBIOL, V56, P457, DOI 10.1146/annurev.micro.56.012302.160634
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Daubin V, 2004, GENOME RES, V14, P1036, DOI 10.1101/gr.2231904
DeLong EE, 2005, NAT REV MICROBIOL, V3, P459, DOI 10.1038/nrmicro1158
Dobrindt U, 2004, NAT REV MICROBIOL, V2, P414, DOI 10.1038/nrmicro884
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hacker J, 2001, EMBO REP, V2, P376, DOI 10.1093/embo-reports/kve097
Hallam SJ, 2006, P NATL ACAD SCI USA, V103, P18296, DOI 10.1073/pnas.0608549103
Holmes AJ, 2003, ENVIRON MICROBIOL, V5, P383, DOI 10.1046/j.1462-2920.2003.00429.x
Huynen MA, 1998, P NATL ACAD SCI USA, V95, P5849, DOI 10.1073/pnas.95.11.5849
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Lerat E, 2005, PLOS BIOL, V3, P807, DOI 10.1371/journal.pbio.0030130
Linton D, 2001, CURR OPIN MICROBIOL, V4, P35, DOI 10.1016/S1369-5274(00)00161-2
Marchler-Bauer A, 2005, NUCLEIC ACIDS RES, V33, pD192, DOI 10.1093/nar/gki069
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nilsson AI, 2005, P NATL ACAD SCI USA, V102, P12112, DOI 10.1073/pnas.0503654102
Price MN, 2005, NUCLEIC ACIDS RES, V33, P880, DOI 10.1093/nar/gki232
PRIDE DT, 2005, DISTRIBUTED ATUHOR
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rasko DA, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-2
REITER WD, 1989, NUCLEIC ACIDS RES, V17, P1907, DOI 10.1093/nar/17.5.1907
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rozas J, 2003, BIOINFORMATICS, V19, P2496, DOI 10.1093/bioinformatics/btg359
Rozen DE, 2005, J MOL EVOL, V61, P171, DOI 10.1007/s00239-004-0322-2
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SMITH RL, 2001, PROGR OCEANOGRAPHY, V53, P369
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Tamames J, 2001, GENOME BIOL, V2
Tettelin H, 2005, P NATL ACAD SCI USA, V102, P13950, DOI 10.1073/pnas.0506758102
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Welch RA, 2002, P NATL ACAD SCI USA, V99, P17020, DOI 10.1073/pnas.252529799
Wolf YI, 2001, GENOME RES, V11, P356, DOI 10.1101/gr.GR-1619R
NR 48
TC 89
Z9 101
PD NOV 7
PY 2007
VL 2
AR 27
DI 10.1186/1745-6150-2-27
UT WOS:000252923600001
DA 2025-07-30
ER
PT J
AU León-Zayas, R
Novotny, M
Podell, S
Shepard, CM
Berkenpas, E
Nikolenko, S
Pevzner, P
Lasken, RS
Bartlett, DH
AF Leon-Zayas, Rosa
Novotny, Mark
Podell, Sheila
Shepard, Charles M.
Berkenpas, Eric
Nikolenko, Sergey
Pevzner, Pavel
Lasken, Roger S.
Bartlett, Douglas H.
TI Single Cells within the Puerto Rico Trench Suggest Hadal Adaptation of
Microbial Lineages
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Hadal ecosystems are found at a depth of 6,000 m below sea level and below, occupying less than 1% of the total area of the ocean. The microbial communities and metabolic potential in these ecosystems are largely uncharacterized. Here, we present four single amplified genomes (SAGs) obtained from 8,219 m below the sea surface within the hadal ecosystem of the Puerto Rico Trench (PRT). These SAGs are derived from members of deep-sea clades, including the Thaumarchaeota and SAR11 clade, and two are related to previously isolated piezophilic (high-pressure-adapted) microorganisms. In order to identify genes that might play a role in adaptation to deep-sea environments, comparative analyses were performed with genomes from closely related shallow-water microbes. The archaeal SAG possesses genes associated with mixotrophy, including lipoylation and the glycine cleavage pathway. The SAR11 SAG encodes glycolytic enzymes previously reported to be missing from this abundant and cosmopolitan group. The other SAGs, which are related to piezophilic isolates, possess genes that may supplement energy demands through the oxidation of hydrogen or the reduction of nitrous oxide. We found evidence for potential trench-specific gene distributions, as several SAG genes were observed only in a PRT metagenome and not in shallower deep-sea metagenomes. These results illustrate new ecotype features that might perform important roles in the adaptation of microorganisms to life in hadal environments.
C1 [Leon-Zayas, Rosa; Podell, Sheila; Bartlett, Douglas H.] Univ Calif San Diego, Scripps Inst Oceanog, Div Marine Biol Res, La Jolla, CA 92093 USA.
[Novotny, Mark; Lasken, Roger S.] J Craig Venter Inst, Microbial & Environm Genom, San Diego, CA USA.
[Shepard, Charles M.; Berkenpas, Eric] Natl Geog Soc, Washington, DC USA.
[Nikolenko, Sergey; Pevzner, Pavel] St Petersburg Acad Univ, Russian Acad Sci, Algorithm Biol Lab, St Petersburg, Russia.
[Nikolenko, Sergey] Natl Res Inst, Higher Sch Econ, St Petersburg, Russia.
[Pevzner, Pavel] Univ Calif San Diego, Comp Sci & Engn, La Jolla, CA 92093 USA.
RP Bartlett, DH (corresponding author), Univ Calif San Diego, Scripps Inst Oceanog, Div Marine Biol Res, La Jolla, CA 92093 USA.
EM dbartlett@ucsd.edu
CR Allen EE, 1999, APPL ENVIRON MICROB, V65, P1710
Allen EE, 2000, J BACTERIOL, V182, P1264, DOI 10.1128/JB.182.5.1264-1271.2000
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bartlett DH, 2002, BBA-PROTEIN STRUCT M, V1595, P367, DOI 10.1016/S0167-4838(01)00357-0
Blankenship LE, 2006, DEEP-SEA RES PT I, V53, P48, DOI 10.1016/j.dsr.2005.09.006
Borziak K, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087063
Campanaro S, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-567
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeLong EF, 1997, APPL ENVIRON MICROB, V63, P2105, DOI 10.1128/AEM.63.5.2105-2108.1997
Durbin AM, 2010, ENV MICROBIOL REP, V2, P693, DOI 10.1111/j.1758-2229.2010.00163.x
Eichhorn E, 1997, J BIOL CHEM, V272, P23031, DOI 10.1074/jbc.272.37.23031
Eloe EA, 2011, APPL ENVIRON MICROB, V77, P8145, DOI 10.1128/AEM.05204-11
Eloe EA, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020388
Fischer S, 2012, J BIOL CHEM, V287, P33351, DOI 10.1074/jbc.M112.377002
FRANCE SC, 1993, MAR ECOL PROG SER, V92, P277, DOI 10.3354/meps092277
Goffredi SK, 2005, ENVIRON MICROBIOL, V7, P1369, DOI 10.1111/j.1462-2920.2005.00824.x
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Hügler M, 2010, FEMS MICROBIOL ECOL, V73, P526, DOI 10.1111/j.1574-6941.2010.00919.x
Jamieson AJ, 2011, DEEP-SEA RES PT I, V58, P49, DOI 10.1016/j.dsr.2010.11.003
Jamieson AJ., 2001, ENCY LIFE SCI
Jones AC, 2011, P NATL ACAD SCI USA, V108, P8815, DOI 10.1073/pnas.1101137108
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kawamoto J, 2011, ENVIRON MICROBIOL, V13, P2293, DOI 10.1111/j.1462-2920.2011.02487.x
Kim JYH, 2011, J BIOTECHNOL, V155, P312, DOI 10.1016/j.jbiotec.2011.07.007
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Kryazhimskiy S, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000304
Kumar M, 2007, P NATL ACAD SCI USA, V104, P20719, DOI 10.1073/pnas.0708762104
Kurz Matthias, 2006, Saline Syst, V2, P10, DOI 10.1186/1746-1448-2-10
Lasken RS, 2014, NAT REV GENET, V15, P577, DOI 10.1038/nrg3785
Lasken RS, 2012, NAT REV MICROBIOL, V10, P631, DOI 10.1038/nrmicro2857
Lauro FM, 2013, GENOME ANNOUNCEMENTS, V1, DOI 10.1128/genomeA.00304-13
Lauro FM, 2008, EXTREMOPHILES, V12, P15, DOI 10.1007/s00792-006-0059-5
Lauro FM, 2007, APPL ENVIRON MICROB, V73, P838, DOI 10.1128/AEM.01726-06
Le Bihan T, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0060897
Leigh JA, 2007, ANNU REV MICROBIOL, V61, P349, DOI 10.1146/annurev.micro.61.080706.093409
Lokanath NK, 2004, ACTA CRYSTALLOGR D, V60, P1450, DOI 10.1107/S0907444904012910
Lombard J, 2012, MOL BIOL EVOL, V29, P3261, DOI 10.1093/molbev/mss160
Lu L, 2012, ISME J, V6, P1978, DOI 10.1038/ismej.2012.45
Markowitz VM, 2014, NUCLEIC ACIDS RES, V42, pD560, DOI 10.1093/nar/gkt963
Martin DD, 2002, EXTREMOPHILES, V6, P507, DOI 10.1007/s00792-002-0288-1
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
McLean JS, 2013, P NATL ACAD SCI USA, V110, pE2390, DOI 10.1073/pnas.1219809110
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Niu BF, 2011, BIOINFORMATICS, V27, P1704, DOI 10.1093/bioinformatics/btr252
Nunoura T, 2015, P NATL ACAD SCI USA, V112, pE1230, DOI 10.1073/pnas.1421816112
Ohke Y, 2013, BIOSCI BIOTECH BIOCH, V77, P1522, DOI 10.1271/bbb.130197
Pester M, 2011, CURR OPIN MICROBIOL, V14, P300, DOI 10.1016/j.mib.2011.04.007
Podell S, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-2-r16
Podell S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061692
Posner MG, 2013, BIOCHEM J, V449, P415, DOI 10.1042/BJ20121150
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Rasmussen JJ, 2013, J MED MICROBIOL, V62, P1135, DOI 10.1099/jmm.0.059345-0
Richardson DJ, 2000, MICROBIOL-SGM, V146, P551, DOI 10.1099/00221287-146-3-551
RICHARDSON MD, 1995, DEEP-SEA RES PT I, V42, P351, DOI 10.1016/0967-0637(95)00007-S
Robinson CR, 1995, METHOD ENZYMOL, V259, P395
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sanford RA, 2012, P NATL ACAD SCI USA, V109, P19709, DOI [10.1073/pnas.1211238109, 10.1073/pnas.]
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Shaw AK, 2008, ENVIRON MICROBIOL, V10, P2200, DOI 10.1111/j.1462-2920.2008.01626.x
Smedile F, 2013, ENVIRON MICROBIOL, V15, P167, DOI 10.1111/j.1462-2920.2012.02827.x
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tamegai H, 2012, BIOSCI BIOTECH BIOCH, V76, P1506, DOI 10.1271/bbb.120237
Teira E, 2006, LIMNOL OCEANOGR, V51, P60, DOI 10.4319/lo.2006.51.1.0060
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vezzi A, 2005, SCIENCE, V307, P1459, DOI 10.1126/science.1103341
Vignais PM, 2007, CHEM REV, V107, P4206, DOI 10.1021/cr050196r
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Wilson ST, 2014, DEEP-SEA RES PT I, V85, P47, DOI 10.1016/j.dsr.2013.11.008
Yancey PH, 2014, P NATL ACAD SCI USA, V111, P4461, DOI 10.1073/pnas.1322003111
YAYANOS AA, 1981, P NATL ACAD SCI-BIOL, V78, P5212, DOI 10.1073/pnas.78.8.5212
NR 78
TC 34
Z9 37
PD DEC
PY 2015
VL 81
IS 24
BP 8265
EP 8276
DI 10.1128/AEM.01659-15
UT WOS:000365212800003
DA 2025-07-30
ER
PT J
AU Bolaños, LM
Choi, CJ
Worden, AZ
Baetge, N
Carlson, CA
Giovannoni, S
AF Bolanos, Luis M.
Choi, Chang Jae
Worden, Alexandra Z.
Baetge, Nicholas
Carlson, Craig A.
Giovannoni, Stephen
TI Seasonality of the Microbial Community Composition in the North Atlantic
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Planktonic communities constitute the basis of life in marine environments and have profound impacts in geochemical cycles. In the North Atlantic, seasonality drives annual transitions in the ecology of the water column. Phytoplankton bloom annually in spring as a result of these transitions, creating one of the major biological pulses in productivity on earth. The timing and geographical distribution of the spring bloom as well as the resulting biomass accumulation have largely been studied using the global capacity of satellite imaging. However, fine-scale variability in the taxonomic composition, spatial distribution, seasonal shifts, and ecological interactions with heterotrophic bacterioplankton has remained largely uncharacterized. The North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) conducted four meridional transects to characterize plankton ecosystems in the context of the annual bloom cycle. Using 16S rRNA gene-based community profiles we analyzed the temporal and spatial variation in plankton communities. Seasonality in phytoplankton and bacterioplankton composition was apparent throughout the water column, with changes dependent on the hydrographic origin. From winter to spring in the subtropic and subpolar subregions, phytoplankton shifted from the predominance of cyanobacteria and picoeukaryotic green algae to diverse photosynthetic eukaryotes. By autumn, the subtropics were dominated by cyanobacteria, while a diverse array of eukaryotes dominated the subpolar subregions. Bacterioplankton were also strongly influenced by geographical subregions. SAR11, the most abundant bacteria in the surface ocean, displayed higher richness in the subtropics than the subpolar subregions. SAR11 subclades were differentially distributed between the two subregions. Subclades Ia.1 and Ia.3 co-occurred in the subpolar subregion, while Ia.1 dominated the subtropics. In the subtropical subregion during the winter, the relative abundance of SAR11 subclades "II" and 1c.1 were elevated in the upper mesopelagic. In the winter, SAR202 subclades generally prevalent in the bathypelagic were also dominant members in the upper mesopelagic zones. Co-varying network analysis confirmed the large-scale geographical organization of the plankton communities and provided insights into the vertical distribution of bacterioplankton. This study represents the most comprehensive survey of microbial profiles in the western North Atlantic to date, revealing stark seasonal differences in composition and richness delimited by the biogeographical distribution of the planktonic communities.
C1 [Bolanos, Luis M.; Giovannoni, Stephen] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Choi, Chang Jae; Worden, Alexandra Z.] Monterey Bay Aquarium Res Inst, Monterey, CA USA.
[Choi, Chang Jae; Worden, Alexandra Z.] GEOMAR Helmholtz Ctr Ocean Res, Ocean EcoSyst Biol Unit, Kiel, Germany.
[Choi, Chang Jae] Univ Texas Austin, Inst Marine Sci, Port Aransas, TX USA.
[Baetge, Nicholas; Carlson, Craig A.] Univ Calif Santa Barbara, Inst Marine Sci, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
RP Bolaños, LM; Giovannoni, S (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM bolanosi@oregonstate.edu; Steve.giovannoni@oregonstate.edu
CR Aluwihare LI, 1999, MAR ECOL PROG SER, V186, P105, DOI 10.3354/meps186105
Baetge N, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00227
Behrenfeld MJ, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00122
Behrenfeld MJ, 2018, GLOBAL CHANGE BIOL, V24, P55, DOI 10.1111/gcb.13858
Bolaños LM, 2020, ISME J, V14, P1663, DOI 10.1038/s41396-020-0636-0
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Camarena-Gómez MT, 2018, AQUAT MICROB ECOL, V81, P149, DOI 10.3354/ame01868
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Choi CJ, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.542372
Choi CJ, 2017, CURR BIOL, V27, pR15, DOI 10.1016/j.cub.2016.11.032
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Csardi G., 2006, Complex Syst, V1695, P1
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Davis NM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0605-2
Della Penna A, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00454
Della Penna A, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00384
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Duarte C.M., 2015, LIMNOLOGY OCEANOGRAP, V24, P11, DOI DOI 10.1002/LOB.10008
Ducklow Hugh W., 2001, Oceanography, V14, P50
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Graff JR, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00209
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Karsenti E, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001177
Kirkham AR, 2011, ENVIRON MICROBIOL, V13, P975, DOI 10.1111/j.1462-2920.2010.02403.x
Kramer SJ, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00215
Kurtz ZD, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004226
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Liu RL, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00625
Liu SF, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.562934
Liu ST, 2020, LIMNOL OCEANOGR, V65, P1532, DOI 10.1002/lno.11405
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Luria CM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02117
Martin M., 2011, EMBnet J, V17, P10
Martin P, 2011, DEEP-SEA RES PT I, V58, P338, DOI 10.1016/j.dsr.2011.01.006
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Meon B, 2001, MAR CHEM, V75, P185, DOI 10.1016/S0304-4203(01)00036-6
Milici M, 2016, SCI REP-UK, V6, DOI 10.1038/srep19054
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Morán XAG, 2010, GLOBAL CHANGE BIOL, V16, P1137, DOI 10.1111/j.1365-2486.2009.01960.x
Morison F, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00608
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nelson CE, 2014, ENVIRON MICROBIOL, V16, P871, DOI 10.1111/1462-2920.12241
Nelson CE, 2013, ISME J, V7, P962, DOI 10.1038/ismej.2012.161
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 1998, APPL ENVIRON MICROB, V64, P294
Romera-Castillo C, 2016, P NATL ACAD SCI USA, V113, P10497, DOI 10.1073/pnas.1605344113
Sanders R, 2014, PROG OCEANOGR, V129, P200, DOI 10.1016/j.pocean.2014.05.005
Saw JHW, 2020, MBIO, V11, DOI 10.1128/mBio.02975-19
SIERACKI ME, 1993, DEEP-SEA RES PT II, V40, P213, DOI 10.1016/0967-0645(93)90014-E
Signori CN, 2018, DEEP-SEA RES PT II, V149, P150, DOI 10.1016/j.dsr2.2017.12.017
SNA Toolbox, 2022, sna: Tools for social network analysis
Sudek S, 2015, ENVIRON MICROBIOL, V17, P3692, DOI 10.1111/1462-2920.12742
Sunagawa S, 2020, NAT REV MICROBIOL, V18, P428, DOI 10.1038/s41579-020-0364-5
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Thornton DCO, 2014, EUR J PHYCOL, V49, P20, DOI 10.1080/09670262.2013.875596
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wear EK, 2015, MAR CHEM, V177, P335, DOI 10.1016/j.marchem.2015.09.001
Wear EK, 2015, LIMNOL OCEANOGR, V60, P657, DOI 10.1002/lno.10042
Wickham H., 2016, GGPLOT2 ELEGANT GRAP, DOI DOI 10.1007/978-0-387-98141-3_1
Yang B, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00139
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
NR 81
TC 30
Z9 34
PD FEB 5
PY 2021
VL 8
AR 624164
DI 10.3389/fmars.2021.624164
UT WOS:000617914300001
DA 2025-07-30
ER
PT J
AU Lindh, MV
Sjöstedt, J
Casini, M
Andersson, A
Legrand, C
Pinhassi, J
AF Lindh, Markus V.
Sjostedt, Johanna
Casini, Michele
Andersson, Agneta
Legrand, Catherine
Pinhassi, Jarone
TI Local Environmental Conditions Shape Generalist But Not Specialist
Components of Microbial Metacommunities in the Baltic Sea
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Marine microbes exhibit biogeographical patterns linked with fluxes of matter and energy. Yet, knowledge of the mechanisms shaping bacterioplankton community assembly across temporal scales remains poor. We examined bacterioplankton 16S rRNA gene fragments obtained from Baltic Sea transects to determine phylogenetic relatedness and assembly processes coupled with niche breadth. Communities were phylogenetically more related over time than expected by chance, albeit with considerable temporal variation. Hence, habitat filtering, i.e., local environmental conditions, rather than competition structured bacterioplankton communities in summer but not in spring or autumn. Species sorting (SS) was the dominant assembly process, but temporal and taxonomical variation in mechanisms was observed. For May communities, Cyanobacteria, Actinobacteria, Alpha- and Betaproteobacteria exhibited SS while Bacteroidetes and Verrucomicrobia were assembled by SS and mass effect. Concomitantly, Gammaproteobacteria were assembled by the neutral model and patch dynamics. Temporal variation in habitat filtering and dispersal highlights the impact of seasonally driven reorganization of microbial communities. Typically abundant Baltic Sea populations such as the NS3a marine group (Bacteroidetes) and the SAR86 and SAR11 clade had the highest niche breadth. The verrucomicrobial Spartobacteria population also exhibited high niche breadth. Surprisingly, variation in bacterioplankton community composition was regulated by environmental factors for generalist taxa but not specialists. Our results suggest that generalists such as NS3a, SAR86, and SAR11 are reorganized to a greater extent by changes in the environment compared to specialists and contribute more strongly to determining overall biogeographical patterns of marine bacterial communities.
C1 [Lindh, Markus V.; Sjostedt, Johanna; Legrand, Catherine; Pinhassi, Jarone] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst, Kalmar, Sweden.
[Casini, Michele] Swedish Univ Agr Sci SLU, Inst Marine Res, Dept Aquat Resources, Lysekil, Sweden.
[Andersson, Agneta] Umea Univ, Dept Ecol & Environm Sci, Umea, Sweden.
[Lindh, Markus V.] Lund Univ, Dept Biol, Lund, Sweden.
[Sjostedt, Johanna] Lund Univ, Dept Biol Aquat Ecol, Lund, Sweden.
[Sjostedt, Johanna] Tech Univ Denmark, Inst Aquat Resources, Ctr Ocean Life, Charlottenlund, Denmark.
RP Lindh, MV (corresponding author), Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst, Kalmar, Sweden.; Lindh, MV (corresponding author), Lund Univ, Dept Biol, Lund, Sweden.
EM markusvlindh@gmail.com
CR Adams HE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00082
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], 1995, Manual on Harmful Marine Microalgae
ARMSTRONG RA, 1980, AM NAT, V115, P151, DOI 10.1086/283553
Barberán A, 2010, AQUAT MICROB ECOL, V59, P1, DOI 10.3354/ame01389
Beisner BE, 2006, ECOLOGY, V87, P2985, DOI 10.1890/0012-9658(2006)87[2985:TROEAS]2.0.CO;2
Bertos-Fortis M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00625
Cottenie K, 2005, ECOL LETT, V8, P1175, DOI 10.1111/j.1461-0248.2005.00820.x
Díaz-Gil C, 2014, BOREAL ENVIRON RES, V19, P323
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Ellis AM, 2006, ECOLOGY, V87, P2582, DOI 10.1890/0012-9658(2006)87[2582:ETLMDO]2.0.CO;2
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Holyoak M., 2005, METACOMMUNITIES SPAT
Horner-Devine MC, 2006, ECOLOGY, V87, pS100, DOI 10.1890/0012-9658(2006)87[100:PCAOIB]2.0.CO;2
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
JESPERSEN AM, 1987, ARCH HYDROBIOL, V109, P445
Kembel SW, 2010, BIOINFORMATICS, V26, P1463, DOI 10.1093/bioinformatics/btq166
Keymer DP, 2009, APPL ENVIRON MICROB, V75, P1658, DOI 10.1128/AEM.01304-08
Laas P, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122304
Langenheder S, 2012, ISME J, V6, P1107, DOI 10.1038/ismej.2011.177
Legrand C, 2015, AMBIO, V44, pS427, DOI 10.1007/s13280-015-0662-8
Leibold MA, 2004, ECOL LETT, V7, P601, DOI 10.1111/j.1461-0248.2004.00608.x
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Lindström ES, 2012, ENV MICROBIOL REP, V4, P1, DOI 10.1111/j.1758-2229.2011.00257.x
Lindström ES, 2010, LIMNOL OCEANOGR, V55, P2052, DOI 10.4319/lo.2010.55.5.2052
Logue JB, 2011, TRENDS ECOL EVOL, V26, P482, DOI 10.1016/j.tree.2011.04.009
Logue JB, 2016, ISME J, V10, P533, DOI 10.1038/ismej.2015.131
Logue JB, 2010, ISME J, V4, P729, DOI 10.1038/ismej.2009.156
Martiny AC, 2013, ISME J, V7, P830, DOI 10.1038/ismej.2012.160
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Mouquet N, 2003, AM NAT, V162, P544, DOI 10.1086/378857
Oksanen JF, 2010, VEGAN COMMUNITY ECOL
Pandit SN, 2009, ECOLOGY, V90, P2253, DOI 10.1890/08-0851.1
Poisot T, 2013, ECOL EVOL, V3, P1125, DOI 10.1002/ece3.508
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pontarp M, 2012, MICROB ECOL, V64, P8, DOI 10.1007/s00248-011-0005-7
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
R DevelopmentCoreTeam, 2014, R ALANGUAGEANDENVIRO
RESCIGNO A, 1965, B MATH BIOPHYS, V27, P85, DOI 10.1007/BF02477264
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Székely AJ, 2014, FEMS MICROBIOL ECOL, V87, P102, DOI 10.1111/1574-6941.12195
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Van der Gucht K, 2007, P NATL ACAD SCI USA, V104, P20404, DOI 10.1073/pnas.0707200104
Webb CO, 2002, ANNU REV ECOL SYST, V33, P475, DOI 10.1146/annurev.ecolsys.33.010802.150448
Webb CO, 2000, AM NAT, V156, P145, DOI 10.1086/303378
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
Yeh YC, 2015, ECOGRAPHY, V38, P198, DOI 10.1111/ecog.00986
NR 54
TC 27
Z9 29
PD DEC 23
PY 2016
VL 7
AR 2078
DI 10.3389/fmicb.2016.02078
UT WOS:000390658700001
DA 2025-07-30
ER
PT J
AU Pontiller, B
Martínez-García, S
Joglar, V
Amnebrink, D
Pérez-Martínez, C
González, JM
Lundin, D
Fernández, E
Teira, E
Pinhassi, J
AF Pontiller, Benjamin
Martinez-Garcia, Sandra
Joglar, Vanessa
Amnebrink, Dennis
Perez-Martinez, Clara
Gonzalez, Jose M.
Lundin, Daniel
Fernandez, Emilio
Teira, Eva
Pinhassi, Jarone
TI Rapid bacterioplankton transcription cascades regulate organic matter
utilization during phytoplankton bloom progression in a coastal
upwelling system
SO ISME JOURNAL
DT Article
AB Coastal upwelling zones are hotspots of oceanic productivity, driven by phytoplankton photosynthesis. Bacteria, in turn, grow on and are the principal remineralizers of dissolved organic matter (DOM) produced in aquatic ecosystems. However, the molecular processes that key bacterial taxa employ to regulate the turnover of phytoplankton-derived DOM are not well understood. We therefore carried out comparative time-series metatranscriptome analyses of bacterioplankton in the Northwest Iberian upwelling system, using parallel sampling of seawater and mesocosms with in situ-like conditions. The mesocosm experiment uncovered a taxon-specific progression of transcriptional responses from bloom development (characterized by a diverse set of taxa in the orders Cellvibrionales, Rhodobacterales, and Pelagibacterales), over early decay (mainly taxa in the Alteromonadales and Flavobacteriales), to senescence phases (Flavobacteriales and Saprospirales taxa). Pronounced order-specific differences in the transcription of glycoside hydrolases, peptidases, and transporters were found, supporting that functional resource partitioning is dynamically structured by temporal changes in available DOM. In addition, comparative analysis of mesocosm and field samples revealed a high degree of metabolic plasticity in the degradation and uptake of carbohydrates and nitrogen-rich compounds, suggesting these gene systems critically contribute to modulating the stoichiometry of the labile DOM pool. Our findings suggest that cascades of transcriptional responses in gene systems for the utilization of organic matter and nutrients largely shape the fate of organic matter on the time scales typical of upwelling-driven phytoplankton blooms.
C1 [Pontiller, Benjamin; Amnebrink, Dennis; Perez-Martinez, Clara; Lundin, Daniel; Pinhassi, Jarone] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, S-39182 Kalmar, Sweden.
[Pontiller, Benjamin] GEOMAR Helmholtz Ctr Ocean Res Kiel, D-24105 Kiel, Germany.
[Martinez-Garcia, Sandra; Joglar, Vanessa; Fernandez, Emilio; Teira, Eva] Univ Vigo, Ctr Invest Marina Univ Vigo CIM UVigo, Dept Ecol & Biol Anim, Campus Lagoas Marcosende, Vigo 36310, Spain.
[Gonzalez, Jose M.] Univ La Laguna, Dept Microbiol, San Cristobal la Laguna 38200, Spain.
RP Pinhassi, J (corresponding author), Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, S-39182 Kalmar, Sweden.
EM jarone.pinhassi@lnu.se
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alvarez-Salgado XA, 1998, MAR CHEM, V62, P325, DOI 10.1016/S0304-4203(98)00037-1
Arnosti C, 2021, ANNU REV MAR SCI, V13, P81, DOI 10.1146/annurev-marine-032020-012810
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Beier S, 2015, ENVIRON MICROBIOL, V17, P3466, DOI 10.1111/1462-2920.12434
Ben Francis T, 2021, ISME J, V15, P2336, DOI 10.1038/s41396-021-00928-8
Ben Hania W, 2017, ENVIRON MICROBIOL, V19, P1134, DOI 10.1111/1462-2920.13639
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Bode A, 2015, MAR ENVIRON RES, V110, P81, DOI 10.1016/j.marenvres.2015.07.017
Broullón E, 2020, PROG OCEANOGR, V189, DOI 10.1016/j.pocean.2020.102449
Bryson S, 2017, ISME J, V11, P2781, DOI 10.1038/ismej.2017.128
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Cao Y, 2014, BIOINFORMATICS, V30, P1674, DOI 10.1093/bioinformatics/btu104
Cermeño P, 2006, ESTUAR COAST SHELF S, V67, P251, DOI 10.1016/j.ecss.2005.11.027
Chénard C, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52648-x
Cheng H, 2015, INT J SYST EVOL MICR, V65, P562, DOI 10.1099/ijs.0.065078-0
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Del Fabbro C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0085024
Durham BP, 2017, ENVIRON MICROBIOL, V19, P3500, DOI 10.1111/1462-2920.13834
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Ferrer-González FX, 2021, ISME J, V15, P762, DOI 10.1038/s41396-020-00811-y
Fraga F., 1981, Northwest Spain, in Coastal Upwelling, V1, P176, DOI DOI 10.1029/CO001P0176
Gattuso JP, 1998, ANNU REV ECOL SYST, V29, P405, DOI 10.1146/annurev.ecolsys.29.1.405
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gloor GB, 2016, ANN EPIDEMIOL, V26, P322, DOI 10.1016/j.annepidem.2016.03.003
Hansen HP., 1983, Automated Chemical Analysis. Methods of Seawater Analysis, P347, DOI DOI 10.1016/0304-4203(78)90045-2
Hernando-Morales V, 2018, MICROB ECOL, V76, P866, DOI 10.1007/s00248-018-1179-z
Hou SW, 2018, ISME J, V12, P981, DOI 10.1038/s41396-017-0034-4
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ivanova AA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00412
Joglar V, 2020, BIOGEOSCIENCES, V17, P2807, DOI 10.5194/bg-17-2807-2020
Joshi N.A., 2011, SICKLE SLIDING WINDO
Kieft B, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2101178118
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Koch H, 2019, ISME J, V13, P92, DOI 10.1038/s41396-018-0252-4
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Landa M, 2017, ISME J, V11, P2677, DOI 10.1038/ismej.2017.117
Le Costaouëc T, 2017, ALGAL RES, V26, P172, DOI 10.1016/j.algal.2017.07.021
Ling SK, 2017, INT J SYST EVOL MICR, V67, P3778, DOI 10.1099/ijsem.0.002193
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martin M., 2011, EMBnet J, V17, P10
Martínez-García S, 2010, MAR ECOL PROG SER, V416, P17, DOI 10.3354/meps08776
Mayali X, 2013, FEMS MICROBIOL ECOL, V83, P402, DOI 10.1111/j.1574-6941.12000.x
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Nogueira E, 2005, J MARINE SYST, V54, P139, DOI 10.1016/j.jmarsys.2004.07.009
Nogueira E, 1997, ESTUAR COAST SHELF S, V44, P685, DOI 10.1006/ecss.1996.0143
Nowinski B, 2021, NAT MICROBIOL, V6, P524, DOI 10.1038/s41564-020-00851-2
Orsi WD, 2016, ISME J, V10, P2158, DOI 10.1038/ismej.2016.20
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parsons TR., 1984, A manual of chemical biological methods for seawater analysis, P107, DOI [10.1016/B978-0-08-030287-4.50034-7, DOI 10.1016/B978-0-08-030287-4.50034-7, 10.1016/C2009-0-07774-5]
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
PITCHER GC, 1991, PROG OCEANOGR, V28, P39, DOI 10.1016/0079-6611(91)90020-M
Pontiller B, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.588778
Poretsky Rachel S, 2009, J Vis Exp, DOI 10.3791/1086
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Sharma AK, 2014, ENVIRON MICROBIOL, V16, P2815, DOI 10.1111/1462-2920.12254
Shi YM, 2012, ENVIRON MICROBIOL, V14, P191, DOI 10.1111/j.1462-2920.2011.02598.x
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Signori CN, 2018, DEEP-SEA RES PT II, V149, P150, DOI 10.1016/j.dsr2.2017.12.017
Smayda TJ, 2010, PROG OCEANOGR, V85, P92, DOI 10.1016/j.pocean.2010.02.006
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sosa OA, 2015, ISME J, V9, P2725, DOI 10.1038/ismej.2015.68
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Straub D, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.550420
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Taylor JD, 2014, ISME J, V8, P245, DOI 10.1038/ismej.2013.178
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Vidal-Melgosa S, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21009-6
Vorobev A, 2018, ENVIRON MICROBIOL, V20, P3012, DOI 10.1111/1462-2920.14344
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
Wilkerson FP, 2006, DEEP-SEA RES PT II, V53, P3023, DOI 10.1016/j.dsr2.2006.07.007
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Zhang H, 2018, NUCLEIC ACIDS RES, V46, pW95, DOI 10.1093/nar/gky418
NR 100
TC 29
Z9 31
PD OCT
PY 2022
VL 16
IS 10
BP 2360
EP 2372
DI 10.1038/s41396-022-01273-0
EA JUL 2022
UT WOS:000822288300001
DA 2025-07-30
ER
PT J
AU Laas, P
Simm, J
Lips, I
Metsis, M
AF Laas, Peeter
Simm, Jaak
Lips, Inga
Metsis, Madis
TI Spatial variability of winter bacterioplankton community composition in
the Gulf of Finland (the Baltic Sea)
SO JOURNAL OF MARINE SYSTEMS
DT Article
AB The microbial communities in the Baltic Sea are extremely diverse and highly dynamic and undergoing shifts in dominant phylotypes in response to spatial and temporal environmental gradients. We present the first study of wintertime bacterioplankton with a high-throughput sequencing approach. Using barcoded pyrosequencing of the 16S rRNA gene we investigated the bacterial diversity and spatial distribution of winter picoplankton communities in the Gulf of Finland. We analyzed ten samples and identified 609 OTUs (operational taxanomic units), mostly members of Proteobacteria, Actinobacteria, Bacteroidetes and Cyanobacteria. Most abundant OTUs of the dataset were identified as Sulfurimonas and Pelagibacter, which dominated the near-bottom and surface layers, respectively. Surface communities yielded about the same species richness estimates than a previous study conducted in same area during springtime. (c) 2013 Elsevier B.V. All rights reserved.
C1 [Laas, Peeter; Lips, Inga] Tallinn Univ Technol, Marine Syst Inst, EE-12618 Tallinn, Estonia.
[Simm, Jaak] Tallinn Univ Technol, Ctr Biol Integrated Syst, EE-12618 Tallinn, Estonia.
[Metsis, Madis] Tallinn Univ, Inst Math & Nat Sci, EE-10120 Tallinn, Estonia.
RP Laas, P (corresponding author), Tallinn Univ Technol, Marine Syst Inst, Akad Tee 15A, EE-12618 Tallinn, Estonia.
EM peeter.laas@msi.ttu.ee
CR Alenius P., 1998, Boreal Environ Res, V3, P97
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], COMMUNITY ECOLOGY PA
Arai H, 2008, J BACTERIOL, V190, P286, DOI 10.1128/JB.01375-07
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Brettar I, 2006, APPL ENVIRON MICROB, V72, P1364, DOI 10.1128/AEM.72.2.1364-1372.2006
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHAO A, 1984, SCAND J STAT, V11, P265
CHAO A, 1992, J AM STAT ASSOC, V87, P210, DOI 10.2307/2290471
Clum A, 2009, STAND GENOMIC SCI, V1, P38, DOI 10.4056/sigs.1463
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Glaubitz S, 2013, APPL ENVIRON MICROB, V79, P2767, DOI 10.1128/AEM.03777-12
Glaubitz S, 2009, ENVIRON MICROBIOL, V11, P326, DOI 10.1111/j.1462-2920.2008.01770.x
Grote J, 2007, APPL ENVIRON MICROB, V73, P7155, DOI 10.1128/AEM.00466-07
Grote J, 2008, APPL ENVIRON MICROB, V74, P7546, DOI 10.1128/AEM.01186-08
Hagström Å, 2000, AQUAT MICROB ECOL, V21, P231, DOI 10.3354/ame021231
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Holmfeldt K, 2009, ENVIRON MICROBIOL, V11, P2042, DOI 10.1111/j.1462-2920.2009.01925.x
Kaartokallio H, 2005, APPL ENVIRON MICROB, V71, P4364, DOI 10.1128/AEM.71.8.4364-4371.2005
Kaartokallio H, 2008, POLAR BIOL, V31, P783, DOI 10.1007/s00300-008-0416-1
Khlebovich VV, 2010, MAR POLLUT B, V61, P4
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kisand V, 2005, LIMNOL OCEANOGR, V50, P945, DOI 10.4319/lo.2005.50.3.0945
Kisand V, 2003, APPL ENVIRON MICROB, V69, P3607, DOI 10.1128/AEM.69.6.3607-3616.2003
Koskinen K, 2011, FEMS MICROBIOL ECOL, V75, P99, DOI 10.1111/j.1574-6941.2010.00987.x
KULLENBERG G., 1981, BALTIC SEA, V30, P135, DOI [10.1016/S0422-9894(08)70140-5, DOI 10.1016/S0422-9894(08)70140-5]
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Long RA, 2001, AQUAT MICROB ECOL, V26, P103, DOI 10.3354/ame026103
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Matsumoto A, 2009, J GEN APPL MICROBIOL, V55, P201, DOI 10.2323/jgam.55.201
McKenna P, 2008, PLOS PATHOG, V4, DOI 10.1371/journal.ppat.0040020
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Petri R, 2001, POLAR BIOL, V24, P252, DOI 10.1007/s003000000205
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Rajaniemi-Wacklin P, 2006, J PHYCOL, V42, P226, DOI 10.1111/j.1529-8817.2006.00179.x
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Riemann L, 2008, APPL ENVIRON MICROB, V74, P503, DOI 10.1128/AEM.01983-07
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schmidtova J, 2009, ENVIRON MICROBIOL, V11, P3233, DOI 10.1111/j.1462-2920.2009.02044.x
SHIAH FK, 1994, LIMNOL OCEANOGR, V39, P1243, DOI 10.4319/lo.1994.39.6.1243
Sievert SM, 2008, APPL ENVIRON MICROB, V74, P1145, DOI 10.1128/AEM.01844-07
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stigebrandt A, 2001, ECOL STU AN, V148, P19
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
Verméglio A, 1999, TRENDS MICROBIOL, V7, P435, DOI 10.1016/S0966-842X(99)01625-X
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
WHITE PA, 1991, MICROBIAL ECOL, V21, P99, DOI 10.1007/BF02539147
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Wu QL, 2006, APPL ENVIRON MICROB, V72, P5478, DOI 10.1128/AEM.00767-06
NR 64
TC 16
Z9 17
PD JAN
PY 2014
VL 129
BP 127
EP 134
DI 10.1016/j.jmarsys.2013.07.016
UT WOS:000329881600013
DA 2025-07-30
ER
PT J
AU Mandal, M
Mandal, S
AF Mandal, Manisha
Mandal, Shyamapada
TI Cross-biome metagenomic analyses of the impact of pollutants on
taxonomic and functional diversity of bacterial communities from
different geographical regions
SO GENE REPORTS
DT Article
AB Due to anthropogenic activities, a large number of pollutants are disposed into the environment. The microbial communities in the environment are immensely diverse and critical mediators of various ecosystem processes. But it is not clearly known to what extent xenobiotics effect the composition and functionality of environmental microorganisms, across biomes in different geographic locations, with varying contaminating sources, categories of chemical pollutants, and their application types. Here, we investigated the impact of xenobiotics by meta-genomic analysis of 16S rRNA from seawater, soil, sludge and sediment, for deciphering microbial diversity, community structure, functional enrichment and metabolic potentiality in relation to the application of pesticide (metaldehyde), herbicide (2,4-dichlorophenoxyacetic acid; DCPAA), insecticide (chlordecone) and flame retar-dant additives (organophosphate triesters; OPT and tris 2 chloroethyl phosphate; TCEP). Firmicutes was the most abundant phylum consisting of Clostridia, in association with DCPAA (Lutispora sp.), metaldehyde and TCEP treatments. The next two abundant phyla were Proteobacteria [class Deltaproteobacteria, Alphaproteobacteria (Pelagibacter ubique with OPT treatment) and Gammaproteobacteria], and Euryarchaeota consisting mostly of Methanobacteria with chlordecone and DCPAA. Both Desulfomicrobium and Sedimentibacter were predominant in the subtropical moist forest sediment, while Synechococcus and Pelagibacter dominated the temperate Mediterranean Sea. Ruminococcus and Lutispora were more abundant in rain forest compared to waste water solid, while Anaerovorax predominated subtropical moist forest. Sequences involved in house-keeping genes comprised the most abundant hits. The genes involved in environmental information processing such as ABC transporters catalyzing carbohydrate uptake, membrane transport and quorum sensing were over-represented with TCEP, DCPAA, OPT and metaldehyde. Exposure to different classes of xenobiotics revealed major differ-ences in microbial structure and function abundances, mainly driven by environmental sources and biomes. Preponderance of core metabolic functional genes across all the metagenomes analysed is indicative of microbial community responding and adjusting itself to deal with these treatments and maintain its balance.
C1 [Mandal, Manisha] MGM Med Coll, Dept Physiol, Kishanganj 855107, India.
[Mandal, Shyamapada] Univ Gour Banga, Dept Zool, Malda 732103, India.
RP Mandal, S (corresponding author), Univ Gour Banga, Dept Zool, Malda 732103, India.
EM samtropmed@gmail.com
CR Ahmad T, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0248116
Berlanga M., 2005, BROCK BIOL MICROORGA, V11th
Borja R, 2011, COMPREHENSIVE BIOTECHNOLOGY, VOL 2: ENGINEERING FUNDAMENTALS OF BIOTECHNOLOGY, 2ND EDITION, P785
Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
Brucha G, 2021, BIODEGRADATION, V32, P419, DOI 10.1007/s10532-021-09940-3
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Castle GD, 2017, ENVIRON SCI-WAT RES, V3, P415, DOI 10.1039/c7ew00039a
Dhariwal A, 2017, NUCLEIC ACIDS RES, V45, pW180, DOI 10.1093/nar/gkx295
Doelle H.W., 1975, Bacterial Metabolism
Fierer N, 2012, P NATL ACAD SCI USA, V109, P21390, DOI 10.1073/pnas.1215210110
Friedman J, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002687
Gao J, 2018, FRONT CELL INFECT MI, V8, DOI 10.3389/fcimb.2018.00013
Grabowski A, 2005, INT J SYST EVOL MICR, V55, P1113, DOI 10.1099/ijs.0.63426-0
Huergo LF, 2013, FEMS MICROBIOL REV, V37, P251, DOI 10.1111/j.1574-6976.2012.00351.x
Jabari L, 2012, INT J SYST EVOL MICR, V62, P2522, DOI 10.1099/ijs.0.032508-0
Janssen PH, 1999, INT J SYST BACTERIOL, V49, P1009, DOI 10.1099/00207713-49-3-1009
Jeffries TC, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00147
Johnsen K, 2001, BIOL FERT SOILS, V33, P443, DOI 10.1007/s003740100351
Kandlikar Gaurav S, 2018, F1000Res, V7, P1734, DOI 10.12688/f1000research.16680.1
KAUFMANN M, 1992, CARIES RES, V26, P110, DOI 10.1159/000261494
Lahti L., 2017, Tools for microbiome analysis in R. Version, V1, P504
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Linger JG, 2020, FRONT ENERGY RES, V8, DOI 10.3389/fenrg.2020.00183
López-Cortés A, 2006, INT J SYST EVOL MICR, V56, P1495, DOI 10.1099/ijs.0.64074-0
Luengo JM, 2001, MOL MICROBIOL, V39, P1434, DOI 10.1046/j.1365-2958.2001.02344.x
Mangipudy R.S., 2005, ENCY TOXICOLOGY, VSecond, P721
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mishra P, 2019, ANN CARD ANAESTH, V22, P407, DOI 10.4103/aca.ACA_94_19
Onwona-Kwakye M, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8030318
Parihar J, 2022, BIOLOGY-BASEL, V11, DOI 10.3390/biology11030461
Paulson JN, 2013, NAT METHODS, V10, P1200, DOI [10.1038/NMETH.2658, 10.1038/nmeth.2658]
Pérez-Díaz MI, 2020, J ENVIRON HEALTH SCI, V18, P1189, DOI 10.1007/s40201-020-00537-1
Rastogi G, 2019, MICROBIAL DIVERSITY IN THE GENOMIC ERA, P103, DOI 10.1016/B978-0-12-814849-5.00007-1
Redder P, 2015, FEMS MICROBIOL REV, V39, P392, DOI 10.1093/femsre/fuv011
Robinson MD, 2010, BIOINFORMATICS, V26, P139, DOI 10.1093/bioinformatics/btp616
Russell RJ, 2011, EVOL APPL, V4, P225, DOI 10.1111/j.1752-4571.2010.00175.x
SOH ALA, 1991, SYST APPL MICROBIOL, V14, P135
Storck V, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01412
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
Vila-Costa M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-36635-2
Vischetti C, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01892
Wang CN, 2020, SCI TOTAL ENVIRON, V710, DOI 10.1016/j.scitotenv.2019.136321
Zeller T, 2006, NATURWISSENSCHAFTEN, V93, P259, DOI 10.1007/s00114-006-0106-1
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 44
TC 4
Z9 5
PD DEC
PY 2022
VL 29
AR 101690
DI 10.1016/j.genrep.2022.101690
EA OCT 2022
UT WOS:000869762500004
DA 2025-07-30
ER
PT J
AU Mary, I
Tarran, GA
Warwick, PE
Terry, MJ
Scanlan, DJ
Burkill, PH
Zubkov, MV
AF Mary, Isabelle
Tarran, Glen A.
Warwick, Phillip E.
Terry, Matthew J.
Scanlan, David J.
Burkill, Peter H.
Zubkov, Mikhail V.
TI Light enhanced amino acid uptake by dominant bacterioplankton groups in
surface waters of the Atlantic Ocean
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB S-35-Methionine and H-3-leucine bioassay tracer experiments were conducted on two meridional transatlantic cruises to assess whether dominant planktonic microorganisms use visible sunlight to enhance uptake of these organic molecules at ambient concentrations. The two numerically dominant groups of oceanic bacterioplankton were Prochlorococcus cyanobacteria and bacteria with low nucleic acid (LNA) content, comprising 60% SAR11-related cells. The results of flow cytometric sorting of labelled bacterioplankton cells showed that when incubated in the light, Prochlorococcus and LNA bacteria increased their uptake of amino acids on average by 50% and 23%, respectively, compared with those incubated in the dark. Amino acid uptake of Synechococcus cyanobacteria was also enhanced by visible light, but bacteria with high nucleic acid content showed no light stimulation. Additionally, differential uptake of the two amino acids by the Prochlorococcus and LNA cells was observed. The populations of these two types of cells on average completely accounted for the determined 22% light enhancement of amino acid uptake by the total bacterioplankton community, suggesting a plausible way of harnessing light energy for selectively transporting scarce nutrients that could explain the numerical dominance of these groups in situ.
C1 Natl Oceanog Ctr, Southampton SO17 3ZH, Hants, England.
Plymouth Marine Lab, Plymouth, Devon, England.
Univ Southampton, Sch Biol Sci, Southampton SO9 5NH, Hants, England.
Univ Warwick, Dept Sci Biol, Coventry CV4 7AL, W Midlands, England.
Sir Alister Hardy Fdn Ocean Sci, Plymouth, Devon, England.
Univ Plymouth, Inst Marine, Plymouth, Devon, England.
RP Zubkov, MV (corresponding author), Natl Oceanog Ctr, European Way, Southampton SO17 3ZH, Hants, England.
EM mvz@noc.soton.ac.uk
CR Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
CAMPBELL BJ, 2007, ENV MICROBIOL
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Church MJ, 2006, AQUAT MICROB ECOL, V45, P41, DOI 10.3354/ame045041
Church MJ, 2004, APPL ENVIRON MICROB, V70, P4079, DOI 10.1128/AEM.70.7.4079-4087.2004
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
KIRCHMAN DL, 1986, MAR ECOL PROG SER, V32, P47, DOI 10.3354/meps032047
Kirchman DL, 1997, NATURE, V385, P121, DOI 10.1038/385121a0
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
OLSON R.J., 1993, HDB METHODS AQUATIC, P175
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 2006, CYTOM PART A, V69A, P1010, DOI 10.1002/cyto.a.20332
Zubkov MV, 2006, AQUAT MICROB ECOL, V43, P23, DOI 10.3354/ame043023
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2005, AQUAT MICROB ECOL, V40, P241, DOI 10.3354/ame040241
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zubkov MV, 1998, FEMS MICROBIOL ECOL, V27, P85, DOI 10.1016/S0168-6496(98)00059-2
NR 29
TC 81
Z9 85
PD JAN
PY 2008
VL 63
IS 1
BP 36
EP 45
DI 10.1111/j.1574-6941.2007.00414.x
UT WOS:000251504000005
DA 2025-07-30
ER
PT J
AU Norris, N
Levine, NM
Fernández, VI
Stocker, R
AF Norris, Noele
Levine, Naomi M.
Fernandez, Vicente I.
Stocker, Roman
TI Mechanistic model of nutrient uptake explains dichotomy between marine
oligotrophic and copiotrophic bacteria
SO PLOS COMPUTATIONAL BIOLOGY
DT Article
AB Marine bacterial diversity is immense and believed to be driven in part by trade-offs in metabolic strategies. Here we consider heterotrophs that rely on organic carbon as an energy source and present a molecular-level model of cell metabolism that explains the dichotomy between copiotrophs-which dominate in carbon-rich environments-and oligotrophs-which dominate in carbon-poor environments-as the consequence of trade-offs between nutrient transport systems. While prototypical copiotrophs, like Vibrios, possess numerous phosphotransferase systems (PTS), prototypical oligotrophs, such as SAR11, lack PTS and rely on ATP-binding cassette (ABC) transporters, which use binding proteins. We develop models of both transport systems and use them in proteome allocation problems to predict the optimal nutrient uptake and metabolic strategy as a function of carbon availability. We derive a Michaelis-Menten approximation of ABC transport, analytically demonstrating how the half-saturation concentration is a function of binding protein abundance. We predict that oligotrophs can attain nanomolar half-saturation concentrations using binding proteins with only micromolar dissociation constants and while closely matching transport and metabolic capacities. However, our model predicts that this requires large periplasms and that the slow diffusion of the binding proteins limits uptake. Thus, binding proteins are critical for oligotrophic survival yet severely constrain growth rates. We propose that this trade-off fundamentally shaped the divergent evolution of oligotrophs and copiotrophs.
Author summary Marine bacteria utilize carbon as a building block and an energy source and thus exert an important control on the amount of carbon that is sequestered in the ocean versus respired into the atmosphere. They use a spectrum of strategies to consume carbon: while copiotrophic bacteria dominate in nutrient-rich environments, oligotrophic bacteria dominate in nutrient-poor environments and are typically smaller, nonmotile, and slower growing. Yet the paragon oligotroph SAR11 is the planet's most abundant organism. Despite this, most of our understanding of bacteria derives from research on copiotrophs. Here we use molecular-level models to understand how an oligotroph's physiology enables it to outperform copiotrophs in nutrient-poor but not in nutrient-rich environments. We contrast copiotrophs' prevalent method of sugar transport with oligotrophs' reliance on binding proteins, which trap nutrients in the periplasm. Binding proteins allow cells to attain affinities that are much higher than the transport proteins' intrinsic affinities. However, our model predicts that attaining such high affinities requires large periplasms with high abundances of the slowly diffusing binding proteins, which precludes high growth rates. By quantifying the benefits and costs of binding proteins, we provide a mechanistic explanation for the divergent evolution of oligotrophs and copiotrophs.
C1 [Norris, Noele] MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA.
[Norris, Noele; Levine, Naomi M.] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
[Norris, Noele; Fernandez, Vicente I.; Stocker, Roman] Swiss Fed Inst Technol, Dept Civil Environm & Geomat Engn, Inst Environm Engn, Zurich, Switzerland.
RP Norris, N (corresponding author), MIT, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA.; Norris, N (corresponding author), Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.; Norris, N; Stocker, R (corresponding author), Swiss Fed Inst Technol, Dept Civil Environm & Geomat Engn, Inst Environm Engn, Zurich, Switzerland.
EM noelen@alum.mit.edu
CR AMES GFL, 1970, P NATL ACAD SCI USA, V66, P1096, DOI 10.1073/pnas.66.4.1096
Armstrong RA, 2008, DEEP-SEA RES PT I, V55, P1311, DOI 10.1016/j.dsr.2008.05.004
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Basan M, 2018, CURR OPIN MICROBIOL, V45, P77, DOI 10.1016/j.mib.2018.02.008
BOHL E, 1995, J THEOR BIOL, V172, P83, DOI 10.1006/jtbi.1995.0006
Bosdriesz E, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23528-7
Bosdriesz E, 2015, FEBS J, V282, P2394, DOI 10.1111/febs.13289
BRASS JM, 1986, J BACTERIOL, V165, P787, DOI 10.1128/jb.165.3.787-795.1986
Burd AB, 2016, GLOBAL CHANGE BIOL, V22, P121, DOI 10.1111/gcb.12987
Button DK, 2004, APPL ENVIRON MICROB, V70, P5511, DOI 10.1128/AEM.70.9.5511-5521.2004
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Davidson AL, 2008, MICROBIOL MOL BIOL R, V72, P317, DOI 10.1128/MMBR.00031-07
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Gest H, 2008, MODERN MYTH UNCULTUR
Ghuneim LAJ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01971
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gudelj I, 2007, J EVOLUTION BIOL, V20, P1882, DOI 10.1111/j.1420-9101.2007.01376.x
Hellweger FL, 2018, ENVIRON MICROBIOL, V20, P3825, DOI 10.1111/1462-2920.14397
HENGGE R, 1983, BIOCHIM BIOPHYS ACTA, V737, P443, DOI 10.1016/0304-4157(83)90009-6
Hosie AHF, 2001, RES MICROBIOL, V152, P259, DOI 10.1016/S0923-2508(01)01197-4
Johnson KA, 2011, BIOCHEMISTRY-US, V50, P8264, DOI 10.1021/bi201284u
Kaleta C, 2013, BIOTECHNOL J, V8, P1105, DOI 10.1002/biot.201200267
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Koch A L, 1971, Adv Microb Physiol, V6, P147, DOI 10.1016/S0065-2911(08)60069-7
Koch AL, 1996, ANNU REV MICROBIOL, V50, P317, DOI 10.1146/annurev.micro.50.1.317
Koch AL, 2001, BIOESSAYS, V23, P657, DOI 10.1002/bies.1091
Kotrba P, 2001, J BIOSCI BIOENG, V92, P502, DOI 10.1263/jbb.92.502
KRUPKA RM, 1992, BIOCHIM BIOPHYS ACTA, V1110, P1, DOI 10.1016/0005-2736(92)90287-V
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lehninger A. L., 2005, LEHNINGER PRINCIPLES
Luo HW, 2015, TRENDS MICROBIOL, V23, P577, DOI 10.1016/j.tim.2015.05.004
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Miller SI, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2004935
MITCHELL JG, 1991, MICROBIAL ECOL, V22, P227, DOI 10.1007/BF02540225
Molenaar D, 2009, MOL SYST BIOL, V5, DOI 10.1038/msb.2009.82
MORITA RY, 1982, ADV MICROB ECOL, V6, P171
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Noor E, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1005167
Oliver DB., 1996, PERIPLASM ESCHERICHI
Peebo K, 2015, MOL BIOSYST, V11, P1184, DOI 10.1039/c4mb00721b
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Schaechter M., 1990, PHYSL BACTERIAL CELL
Schleif R, 2010, FEMS MICROBIOL REV, V34, P779, DOI 10.1111/j.1574-6976.2010.00226.x
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Scott M, 2014, MOL SYST BIOL, V10, DOI 10.15252/msb.20145379
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Srinivasan S, 1998, J BIOSCIENCE, V23, P501, DOI 10.1007/BF02936144
Stretton S, 1997, FEMS MICROBIOL LETT, V146, P23, DOI 10.1016/S0378-1097(96)00387-4
Szenk M, 2017, CELL SYST, V5, P95, DOI 10.1016/j.cels.2017.06.005
TAM R, 1993, MICROBIOL REV, V57, P320, DOI 10.1128/MMBR.57.2.320-346.1993
TILMAN D, 1977, ECOLOGY, V58, P338, DOI 10.2307/1935608
Trovato F, 2014, BIOPHYS J, V107, P2579, DOI 10.1016/j.bpj.2014.09.043
Vijaykumar A, 2016, FARADAY DISCUSS, V195, P421, DOI 10.1039/c6fd00104a
Widder S, 2016, ISME J, V10, P2557, DOI 10.1038/ismej.2016.45
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Young KD, 2006, MICROBIOL MOL BIOL R, V70, P660, DOI 10.1128/MMBR.00001-06
Zakem EJ, 2019, GLOBAL BIOGEOCHEM CY, V33, P1389, DOI 10.1029/2019GB006375
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
NR 64
TC 27
Z9 29
PD MAY
PY 2021
VL 17
IS 5
AR e1009023
DI 10.1371/journal.pcbi.1009023
UT WOS:000664309400001
DA 2025-07-30
ER
PT J
AU Zhang, ZF
Qin, F
Chen, F
Chu, X
Luo, HW
Zhang, R
Du, S
Tian, Z
Zhao, YL
AF Zhang, Zefeng
Qin, Fang
Chen, Feng
Chu, Xiao
Luo, Haiwei
Zhang, Rui
Du, Sen
Tian, Zhen
Zhao, Yanlin
TI Culturing novel and abundant pelagiphages in the ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Viruses play a key role in biogeochemical cycling and host mortality, metabolism, physiology and evolution in the ocean. Viruses that infect the globally abundant SAR11 bacteria (pelagiphages) were reported to be an important component of the marine viral communities. Our current knowledge of pelagiphages is based on a few studies and therefore is limited. In this study, 10 new pelagiphages were isolated and genomically characterized. These pelagiphages represent the first cultivated representatives of four viral lineages only found in metagenomic sequencing datasets previously. Many abundant environmental viral sequences, i.e., single-virus vSAG 37-F6 and several Global Ocean Viromes (GOV) viral populations, are now further confirmed with these pelagiphages. Viromic read mapping reveals that these new pelagiphages are globally distributed in the ocean and can be detected throughout the water column. Remarkably, isolation of these pelagiphages contributed up to 12% of all viromic reads annotated in the analysed viromes. Altogether, this study has greatly broadened our understanding of pelagiphages regarding their morphology, genetic diversity, infection strategies, and distribution pattern. The availability of these newly isolated pelagiphages and their genome sequences will allow us to further explore their infectivities and ecological strategies.
C1 [Zhang, Zefeng; Qin, Fang; Du, Sen; Tian, Zhen; Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll Life Sci, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Fuzhou, Fujian, Peoples R China.
[Chen, Feng] Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, Baltimore, MD 21201 USA.
[Chu, Xiao; Luo, Haiwei] Chinese Univ Hong Kong, Sch Life Sci, Simon FS Li Marine Sci Lab, Shatin, Hong Kong, Peoples R China.
[Chu, Xiao; Luo, Haiwei] Chinese Univ Hong Kong, State Key Lab Agrobiotechnol, Shatin, Hong Kong, Peoples R China.
[Zhang, Rui] Xiamen Univ, Coll Ocean & Earth Sci, Inst Marine Microbes & Ecospheres, State Key Lab Marine Environm Sci, Xiamen, Fujian, Peoples R China.
RP Zhao, YL (corresponding author), Fujian Agr & Forestry Univ, Coll Life Sci, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Fuzhou, Fujian, Peoples R China.
EM yanlinzhao@fafu.edu.cn
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
Ahlgren NA, 2017, NUCLEIC ACIDS RES, V45, P39, DOI 10.1093/nar/gkw1002
Ang D, 2001, J BIOL CHEM, V276, P8720, DOI 10.1074/jbc.M008477200
[Anonymous], 2001, Molecular cloning, a laboratory manual, DOI DOI 10.1101/PDB.PROT4022
BORODOVSKY M, 1993, COMPUT CHEM, V17, P123, DOI 10.1016/0097-8485(93)85004-V
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Culley AI, 2013, P NATL ACAD SCI USA, V110, P12166, DOI 10.1073/pnas.1310671110
Dion MB, 2020, NAT REV MICROBIOL, V18, P125, DOI 10.1038/s41579-019-0311-5
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Esposito D, 1997, NUCLEIC ACIDS RES, V25, P3605, DOI 10.1093/nar/25.18.3605
FAYET O, 1989, J BACTERIOL, V171, P1379, DOI 10.1128/JB.171.3.1379-1385.1989
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Göker M, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006319
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Howard-Varona C, 2017, ISME J, V11, P1511, DOI 10.1038/ismej.2017.16
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jang HB, 2019, NAT BIOTECHNOL, V37, P632, DOI 10.1038/s41587-019-0100-8
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Lund PA, 2009, FEMS MICROBIOL REV, V33, P785, DOI 10.1111/j.1574-6976.2009.00178.x
Maniloff J, 1998, ARCH VIROL, V143, P2051, DOI 10.1007/s007050050442
Marine RL, 2017, ISME J, V11, P2479, DOI 10.1038/ismej.2017.102
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Meier-Kolthoff JP, 2017, BIOINFORMATICS, V33, P3396, DOI 10.1093/bioinformatics/btx440
Meier-Kolthoff JP, 2013, BMC BIOINFORMATICS, V14, DOI 10.1186/1471-2105-14-60
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Nepusz T, 2012, NAT METHODS, V9, P471, DOI [10.1038/NMETH.1938, 10.1038/nmeth.1938]
Nishimura Y, 2017, MSPHERE, V2, DOI 10.1128/mSphere.00359-16
Nunes-Düby SE, 1998, NUCLEIC ACIDS RES, V26, P391, DOI 10.1093/nar/26.2.391
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Quaiser A, 2011, ISME J, V5, P285, DOI 10.1038/ismej.2010.113
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2014, ELIFE, V3, DOI 10.7554/eLife.03125
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schmidt HF, 2014, ISME J, V8, P103, DOI 10.1038/ismej.2013.124
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sullivan MJ, 2011, BIOINFORMATICS, V27, P1009, DOI 10.1093/bioinformatics/btr039
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
VANDERVIES SM, 1994, NATURE, V368, P654, DOI 10.1038/368654a0
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zhang ZF, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00494-19
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 67
TC 27
Z9 28
PD FEB
PY 2021
VL 23
IS 2
BP 1145
EP 1161
DI 10.1111/1462-2920.15272
EA OCT 2020
UT WOS:000579318200001
DA 2025-07-30
ER
PT J
AU Jiao, NZ
Zheng, Q
AF Jiao, Nianzhi
Zheng, Qiang
TI The Microbial Carbon Pump: from Genes to Ecosystems
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Review
AB The majority of marine dissolved organic carbon (DOC) is resistant to biological degradation and thus can remain in the water column for thousands of years, constituting carbon sequestration in the ocean. To date the origin of such recalcitrant DOC (RDOC) is unclear. A recently proposed conceptual framework, the microbial carbon pump (MCP), emphasizes the microbial transformation of organic carbon from labile to recalcitrant states. The MCP is concerned with both microbial uptakes and outputs of DOC compounds, covering a wide range from gene to ecosystem levels. In this minireview, the ATP binding cassette (ABC) transporter is used as an example for the microbial processing of DOC at the genetic level. The compositions of the ABC transporter genes of the two major marine bacterial clades Roseobacter and SAR11 demonstrate that they have distinct patterns in DOC utilization: Roseobacter strains have the advantage of taking up carbohydrate DOC, while SAR11 bacteria prefer nitrogen-containing DOC. At the ecosystem level, bacterially derived RDOC based on D-amino acid biomarkers is reported to be responsible for about a quarter of the total marine RDOC pool. Under future global warming scenarios, partitioning of primary production into DOC could be enhanced, and thus the MCP could play an even more important role in carbon sequestration by the ocean. Joint efforts to study the MCP from multiple disciplines are required to obtain a better understanding of ocean carbon cycle and its coupling with global change.
C1 [Jiao, Nianzhi; Zheng, Qiang] Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
RP Jiao, NZ (corresponding author), Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
EM jiao@xmu.edu.cn
CR [Anonymous], 2011, MICROBIAL CARBON PUM, DOI DOI 10.1126/SCIENCE.OPMS.SB0001
Benner R, 2003, LIMNOL OCEANOGR, V48, P118, DOI 10.4319/lo.2003.48.1.0118
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Benner R., 2011, SCI 80, P46
BROPHY JE, 1989, DEEP-SEA RES, V36, P497, DOI 10.1016/0198-0149(89)90002-2
Brussaard CPD, 2008, ISME J, V2, P575, DOI 10.1038/ismej.2008.31
CAMPBELL L, 1994, LIMNOL OCEANOGR, V39, P954, DOI 10.4319/lo.1994.39.4.0954
Carlson C.A., 2011, SCI 80, P57, DOI DOI 10.1126/SCIENCE.OPMS.SB0001
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cherrier J, 2004, AQUAT MICROB ECOL, V35, P229, DOI 10.3354/ame035229
de Leeuw J.W., 1993, ORG GEOCHEM, P23
DECHO AW, 1990, OCEANOGR MAR BIOL, V28, P73
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Du HL, 2006, FEMS MICROBIOL ECOL, V57, P92, DOI 10.1111/j.1574-6941.2006.00090.x
Ducklow Hugh W., 2001, Oceanography, V14, P50
Engel A, 2008, BIOGEOSCIENCES, V5, P509, DOI 10.5194/bg-5-509-2008
Falkowski P, 2000, SCIENCE, V290, P291, DOI 10.1126/science.290.5490.291
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gruber DF, 2006, APPL ENVIRON MICROB, V72, P4184, DOI 10.1128/AEM.02882-05
Guo H, 2008, CURR TOP MED CHEM, V8, P141
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Higgins CF, 2001, RES MICROBIOL, V152, P205, DOI 10.1016/S0923-2508(01)01193-7
Hollenstein K, 2007, NATURE, V446, P213, DOI 10.1038/nature05626
Hu AY, 2011, APPL ENVIRON MICROB, V77, P7469, DOI 10.1128/AEM.00294-11
Jiao NZ, 2007, ENVIRON MICROBIOL, V9, P3091, DOI 10.1111/j.1462-2920.2007.01419.x
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Kaiser K, 2000, ANAL CHEM, V72, P2566, DOI 10.1021/ac991407t
KARL D, 2001, BIOL PUMP WORKING GR
Locher KP, 2009, PHILOS T R SOC B, V364, P239, DOI 10.1098/rstb.2008.0125
Ma Y, 2004, LETT APPL MICROBIOL, V39, P353, DOI 10.1111/j.1472-765X.2004.01588.x
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
McCarthy MD, 1998, SCIENCE, V281, P231, DOI 10.1126/science.281.5374.231
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 1999, ESTUARIES, V22, P55, DOI 10.2307/1352927
MORAN MA, 1994, LIMNOL OCEANOGR, V39, P762, DOI 10.4319/lo.1994.39.4.0762
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Mou XZ, 2010, AQUAT MICROB ECOL, V58, P311, DOI 10.3354/ame01367
Nikaido H, 1998, J BACTERIOL, V180, P4686, DOI 10.1128/JB.180.17.4686-4692.1998
Ogawa H, 2001, SCIENCE, V292, P917, DOI 10.1126/science.1057627
Ogawa H, 2003, J OCEANOGR, V59, P129, DOI 10.1023/A:1025528919771
Orr JC, 2005, NATURE, V437, P681, DOI 10.1038/nature04095
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Poretsky RS, 2005, APPL ENVIRON MICROB, V71, P4121, DOI 10.1128/AEM.71.7.4121-4126.2005
Raven JA, 1999, PLANT CELL ENVIRON, V22, P741, DOI 10.1046/j.1365-3040.1999.00419.x
Raymond PA, 2000, AQUAT MICROB ECOL, V22, P1, DOI 10.3354/ame022001
Rees DC, 2009, NAT REV MOL CELL BIO, V10, P218, DOI 10.1038/nrm2646
Repeta DJ, 2002, GEOCHIM COSMOCHIM AC, V66, P955, DOI 10.1016/S0016-7037(01)00830-4
Riebesell U, 2007, NATURE, V450, P545, DOI 10.1038/nature06267
Romera-Castillo C, 2011, APPL ENVIRON MICROB, V77, P7490, DOI 10.1128/AEM.00200-11
Saier MH, 2000, MOL MICROBIOL, V35, P699, DOI 10.1046/j.1365-2958.2000.01759.x
Schneider E, 2001, RES MICROBIOL, V152, P303, DOI 10.1016/S0923-2508(01)01201-3
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Silver RP, 2001, RES MICROBIOL, V152, P357, DOI 10.1016/S0923-2508(01)01207-4
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stoderegger K, 1998, LIMNOL OCEANOGR, V43, P877, DOI 10.4319/lo.1998.43.5.0877
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Wang K, 2011, APPL ENVIRON MICROB, V77, P7459, DOI 10.1128/AEM.00267-11
Wei YL, 2011, APPL ENVIRON MICROB, V77, P7479, DOI 10.1128/AEM.00580-11
Weinbauer MG., 2011, Microb. Carbon Pump Ocean, P54, DOI DOI 10.1126/SCIENCE.OPMS.SB0001
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Xiao N, 2011, APPL ENVIRON MICROB, V77, P7445, DOI 10.1128/AEM.05955-11
NR 67
TC 78
Z9 101
PD NOV
PY 2011
VL 77
IS 21
BP 7439
EP 7444
DI 10.1128/AEM.05640-11
UT WOS:000296568200001
DA 2025-07-30
ER
PT J
AU Zeng, DN
Fan, ZY
Chi, L
Wang, X
Qu, WD
Quan, ZX
AF Zeng, Dan-Ning
Fan, Zhen-Yu
Chi, Liang
Wang, Xia
Qu, Wei-Dong
Quan, Zhe-Xue
TI Analysis of the bacterial communities associated with different drinking
water treatment processes
SO WORLD JOURNAL OF MICROBIOLOGY & BIOTECHNOLOGY
DT Article
AB A drinking water plant was surveyed to determine the bacterial composition of different drinking water treatment processes (DWTP). Water samples were collected from different processing steps in the plant (i.e., coagulation, sedimentation, sand filtration, and chloramine disinfection) and from distantly piped water. The samples were pyrosequensed using sample-specific oligonucleotide barcodes. The taxonomic composition of the microbial communities of different DWTP and piped water was dominated by the phylum Proteobacteria. Additionally, a large proportion of the sequences were assigned to the phyla Actinobacteria and Bacteroidetes. The piped water exhibited increasing taxonomic diversity, including human pathogens such as the Mycobacterium, which revealed a threat to the safety of drinking water. Surprisingly, we also found that a sister group of SAR11 (LD12) persisted throughout the DWTP, which was always detected in freshwater aquatic systems. Moreover, Polynucleobacter, Rhodoferax, and a group of Actinobacteria, hgcI clade, were relatively consistent throughout the processes. It is concluded that smaller-size microorganisms tended to survive against the present treatment procedure. More improvement should be made to ensure the long-distance transmission drinking water.
C1 [Zeng, Dan-Ning; Fan, Zhen-Yu; Chi, Liang; Quan, Zhe-Xue] Fudan Univ, Sch Life Sci, Dept Microbiol & Microbial Engn, Shanghai 200433, Peoples R China.
[Wang, Xia; Qu, Wei-Dong] Fudan Univ, Sch Publ Hlth, Dept Environm Hlth, Key Lab Publ Hlth & Safety,Minist Educ, Shanghai 200032, Peoples R China.
RP Quan, ZX (corresponding author), Fudan Univ, Sch Life Sci, Dept Microbiol & Microbial Engn, Shanghai 200433, Peoples R China.
EM quanzx@fudan.edu.cn
CR AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], 2006, STANDARD METHODS EXA
Bai XH, 2010, J WATER HEALTH, V8, P593, DOI 10.2166/wh.2010.048
Bereschenko LA, 2008, APPL ENVIRON MICROB, V74, P5297, DOI 10.1128/AEM.00387-08
Bibby K, 2010, WATER RES, V44, P4252, DOI 10.1016/j.watres.2010.05.039
CAMPER AK, 1986, APPL ENVIRON MICROB, V52, P434, DOI 10.1128/AEM.52.3.434-438.1986
CARTER AM, 1987, APPL ENVIRON MICROB, V53, P523, DOI 10.1128/AEM.53.3.523-526.1987
Cui J, 2012, ECOL RES, V27, P793, DOI 10.1007/s11284-012-0955-3
Duarte GF, 1998, J MICROBIOL METH, V32, P21, DOI 10.1016/S0167-7012(98)00004-9
Eichler S, 2006, APPL ENVIRON MICROB, V72, P1858, DOI 10.1128/AEM.72.3.1858-1872.2006
Felföldi T, 2010, CLIN MICROBIOL INFEC, V16, P89, DOI 10.1111/j.1469-0691.2009.02795.x
Feng BW, 2009, FEMS MICROBIOL ECOL, V70, P236, DOI 10.1111/j.1574-6941.2009.00772.x
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
HECKMANN K, 1987, INT J SYST BACTERIOL, V37, P456, DOI 10.1099/00207713-37-4-456
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Klausen C, 2005, FEMS MICROBIOL ECOL, V52, P265, DOI 10.1016/j.femsec.2004.11.015
Kormas KA, 2010, ENVIRON MONIT ASSESS, V165, P27, DOI 10.1007/s10661-009-0924-7
Kwon S, 2011, MICROBES ENVIRON, V26, P149, DOI 10.1264/jsme2.ME10205
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
LeChevallier M.W., 2004, WATER TREATMENT PATH
LECHEVALLIER MW, 1987, APPL ENVIRON MICROB, V53, P2714, DOI 10.1128/AEM.53.12.2714-2724.1987
Li D, 2010, APPL ENVIRON MICROB, V76, P7171, DOI 10.1128/AEM.00832-10
Liu RY, 2010, PROCESS BIOCHEM, V45, P744, DOI 10.1016/j.procbio.2010.01.010
Liu W, 2002, WATER RES, V36, P891, DOI 10.1016/S0043-1354(01)00296-2
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Mao DP, 2012, BMC MICROBIOL, V12, DOI 10.1186/1471-2180-12-66
Miettinen IT, 1998, OZONE-SCI ENG, V20, P303, DOI 10.1080/01919519808547266
Nielsen JL, 2006, FEMS MICROBIOL ECOL, V55, P432, DOI 10.1111/j.1574-6941.2005.00054.x
Nikitin DI, 2004, INT J SYST EVOL MICR, V54, P681, DOI 10.1099/ijs.0.02896-0
Niquette P, 2000, WATER RES, V34, P1952, DOI 10.1016/S0043-1354(99)00307-3
Norton CD, 2000, APPL ENVIRON MICROB, V66, P268, DOI 10.1128/AEM.66.1.268-276.2000
Park SR, 2001, WATER RES, V35, P1624, DOI 10.1016/S0043-1354(00)00582-0
Poitelon JB, 2010, J IND MICROBIOL BIOT, V37, P117, DOI 10.1007/s10295-009-0653-5
Poitelon JB, 2009, WATER RES, V43, P4197, DOI 10.1016/j.watres.2009.07.020
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Regan JM, 2003, WATER RES, V37, P197, DOI 10.1016/S0043-1354(02)00237-3
Revetta RP, 2010, WATER RES, V44, P1353, DOI 10.1016/j.watres.2009.11.008
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Sen K, 2004, J APPL MICROBIOL, V97, P1077, DOI 10.1111/j.1365-2672.2004.02398.x
Suthar S, 2009, ENVIRON MONIT ASSESS, V159, P43, DOI 10.1007/s10661-008-0611-0
Symons J.M., 1978, WATER CHLORINATION E, P555
Vaerewijck MJM, 2005, FEMS MICROBIOL REV, V29, P911, DOI 10.1016/j.femsre.2005.02.001
Ye L, 2011, ENVIRON SCI TECHNOL, V45, P7173, DOI 10.1021/es201045e
Zacheus OM, 2000, WATER RES, V34, P63, DOI 10.1016/S0043-1354(99)00113-X
Zuma FN, 2009, J ENVIRON SCI HEAL A, V44, P929, DOI 10.1080/10934520902996807
NR 50
TC 40
Z9 44
PD SEP
PY 2013
VL 29
IS 9
BP 1573
EP 1584
DI 10.1007/s11274-013-1321-5
UT WOS:000323223300004
DA 2025-07-30
ER
PT J
AU Shi, YM
Tyson, GW
Eppley, JM
DeLong, EF
AF Shi, Yanmei
Tyson, Gene W.
Eppley, John M.
DeLong, Edward F.
TI Integrated metatranscriptomic and metagenomic analyses of stratified
microbial assemblages in the open ocean
SO ISME JOURNAL
DT Article
AB As part of an ongoing survey of microbial community gene expression in the ocean, we sequenced and compared similar to 38 Mbp of community transcriptomes and similar to 157 Mbp of community genomes from four bacterioplankton samples, along a defined depth profile at Station ALOHA in North Pacific subtropical gyre (NPSG). Taxonomic analysis suggested that the samples were dominated by three taxa: Prochlorales, Consistiales and Cenarchaeales, which comprised 36-69% and 29-63% of the annotated sequences in the four DNA and four cDNA libraries, respectively. The relative abundance of these taxonomic groups was sometimes very different in the DNA and cDNA libraries, suggesting differential relative transcriptional activities per cell. For example, the 125 m sample genomic library was dominated by Pelagibacter (similar to 36% of sequence reads), which contributed fewer sequences to the community transcriptome (similar to 11%). Functional characterization of highly expressed genes suggested taxon-specific contributions to specific biogeochemical processes. Examples included Roseobacter relatives involved in aerobic anoxygenic phototrophy at 75 m, and an unexpected contribution of low abundance Crenarchaea to ammonia oxidation at 125 m. Read recruitment using reference microbial genomes indicated depth-specific partitioning of coexisting microbial populations, highlighted by a transcriptionally active high-light-like Prochlorococcus population in the bottom of the photic zone. Additionally, nutrient-uptake genes dominated Pelagibacter transcripts, with apparent enrichment for certain transporter types (for example, the C4-dicarboxylate transport system) over others (for example, phosphate transporters). In total, the data support the utility of coupled DNA and cDNA analyses for describing taxonomic and functional attributes of microbial communities in their natural habitats. The ISME Journal (2011) 5, 999-1013; doi:10.1038/ismej.2010.189; published online 9 December 2010 Subject Category: integrated genomics and post-genomics approaches in microbial ecology
C1 [Shi, Yanmei; Tyson, Gene W.; Eppley, John M.; DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Tyson, Gene W.] Univ Queensland, Adv Water Management Ctr, Brisbane, Qld, Australia.
[DeLong, Edward F.] MIT, Dept Biol Engn, Cambridge, MA 02139 USA.
RP DeLong, EF (corresponding author), MIT, Dept Civil & Environm Engn, 15 Vassar St, Cambridge, MA 02139 USA.
EM delong@mit.edu
CR Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Berube PM, 2007, J BACTERIOL, V189, P3935, DOI 10.1128/JB.01861-06
BRZEZINSKI MA, 1988, LIMNOL OCEANOGR, V33, P1176, DOI 10.4319/lo.1988.33.5.1176
Casciotti KL, 2001, APPL ENVIRON MICROB, V67, P2213, DOI 10.1128/AEM.67.5.2213-2221.2001
Church MJ, 2010, ENVIRON MICROBIOL, V12, P679, DOI 10.1111/j.1462-2920.2009.02108.x
Coleman ML, 2007, TRENDS MICROBIOL, V15, P398, DOI 10.1016/j.tim.2007.07.001
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Corbin RW, 2003, P NATL ACAD SCI USA, V100, P9232, DOI 10.1073/pnas.1533294100
Cuadros-Orellana S, 2007, ISME J, V1, P235, DOI 10.1038/ismej.2007.35
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Dinsdale EA, 2008, NATURE, V452, P629, DOI 10.1038/nature06810
Dore JE, 1996, DEEP-SEA RES PT II, V43, P385, DOI 10.1016/0967-0645(95)00105-0
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Eymann C, 2002, J BACTERIOL, V184, P2500, DOI 10.1128/JB.184.9.2500-2520.2002
Francis CA, 2001, APPL ENVIRON MICROB, V67, P4024, DOI 10.1128/AEM.67.9.4024-4029.2001
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Gifford SM., 2010, ISME J
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Güell M, 2009, SCIENCE, V326, P1268, DOI 10.1126/science.1176951
Hallam SJ, 2006, PLOS BIOL, V4, P520, DOI 10.1371/journal.pbio.0040095
Hewson I, 2010, ENVIRON MICROBIOL, V12, P1940, DOI 10.1111/j.1462-2920.2010.02198.x
Hewson I, 2009, ISME J, V3, P1286, DOI 10.1038/ismej.2009.75
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Jaroszewski L, 2009, PLOS BIOL, V7, DOI 10.1371/journal.pbio.1000205
Jing H, 2002, STRUCTURE, V10, P1453, DOI 10.1016/S0969-2126(02)00840-7
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Liu ZZ, 2008, NUCLEIC ACIDS RES, V36, DOI 10.1093/nar/gkn491
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Moore LR, 1999, LIMNOL OCEANOGR, V44, P628, DOI 10.4319/lo.1999.44.3.0628
Oz A, 2005, APPL ENVIRON MICROB, V71, P344, DOI 10.1128/AEM.71.1.344-353.2005
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Scherl A, 2005, J MICROBIOL METH, V60, P247, DOI 10.1016/j.mimet.2004.09.017
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steunou AS, 2008, ISME J, V2, P364, DOI 10.1038/ismej.2007.117
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
TAM R, 1993, MICROBIOL REV, V57, P320, DOI 10.1128/MMBR.57.2.320-346.1993
Temperton B, 2009, ISME J, V3, P792, DOI 10.1038/ismej.2009.32
Van Mooy BAS, 2008, LIMNOL OCEANOGR, V53, P78, DOI 10.4319/lo.2008.53.1.0078
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zhang Y, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000095
Zhao GY, 2008, J BIOL CHEM, V283, P36100, DOI 10.1074/jbc.M804438200
Zinser ER, 2006, APPL ENVIRON MICROB, V72, P723, DOI 10.1128/AEM.72.1.723-732.2006
Zinser ER, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005135
NR 70
TC 179
Z9 217
PD JUN
PY 2011
VL 5
IS 6
BP 999
EP 1013
DI 10.1038/ismej.2010.189
UT WOS:000295688200006
DA 2025-07-30
ER
PT J
AU Crump, BC
Peranteau, C
Beckingham, B
Cornwell, JC
AF Crump, Byron C.
Peranteau, Cherie
Beckingham, Barbara
Cornwell, Jeffrey C.
TI Respiratory succession and community succession of bacterioplankton in
seasonally anoxic estuarine waters
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Anoxia occurs in bottom waters of stratified estuaries when respiratory consumption of oxygen, primarily by bacteria, outpaces atmospheric and photosynthetic reoxygenation. Once water becomes anoxic, bacterioplankton must change their metabolism to some form of anaerobic respiration. Analysis of redox chemistry in water samples spanning the oxycline of Chesapeake Bay during the summer of 2004 suggested that there was a succession of respiratory metabolism following the loss of oxygen. Bacterial community doubling time, calculated from bacterial abundance (direct counts) and production (anaerobic leucine incorporation), ranged from 0.36 to 0.75 day and was always much shorter than estimates of the time that the bottom water was anoxic (18 to 44 days), indicating that there was adequate time for bacterial community composition to shift in response to changing redox conditions. However, community composition (as determined by PCR-denaturing gradient gel electrophoresis analysis of 16S rRNA genes) in anoxic waters was very similar to that in surface waters in June when nitrate respiration was apparent in the water column and only partially shifted away from the composition of the surface community after nitrate was depleted. Anoxic water communities did not change dramatically until August, when sulfate respiration appeared to dominate. Surface water populations that remained dominant in anoxic waters were Synechococcus sp., Gammaproteobacteria in the SAR86 clade, and Alphaproteobacteria relatives of Pelagibacter ubique, including a putative estuarine-specific Pelagibacter cluster. Populations that developed in anoxic water were most similar (<92% similarity) to uncultivated Firmicutes, uncultivated Bacteroidetes, Gammaproteobacteria in the genus Thioalealovibrio, and the uncultivated SAR406 cluster. These results indicate that typical estuarine bacterioplankton switch to anaerobic metabolism under anoxic conditions but are ultimately replaced by different organisms under sulfidic conditions.
C1 Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.
RP Crump, BC (corresponding author), Univ Maryland, Ctr Environm Sci, Horn Point Lab, 2020 Horns Point Rd, Cambridge, MD 21613 USA.
EM bcrump@hpl.umces.edu
CR [Anonymous], 1993, Handbook of Methods in Aquatic Microbial Ecology. Eds
Barbosa AB, 2001, PROG OCEANOGR, V51, P339, DOI 10.1016/S0079-6611(01)00074-X
Bastviken D, 2001, APPL ENVIRON MICROB, V67, P2916, DOI 10.1128/AEM.67.7.2916-2921.2001
Boicourt W.C., 1992, DISSOLVED OXYGEN CHE, P7
Borsuk ME, 2001, ESTUAR COAST SHELF S, V52, P33, DOI 10.1006/ecss.2000.0726
Bosshard PP, 2000, ARCH MICROBIOL, V174, P168, DOI 10.1007/s002030000191
Boynton W.R., 2000, ESTUARINE SCI SYNTHE, P269
BRICKER SB, 1999, NATL ESTUARINE ENTRO
Burdige D.J., 2006, GEOCHEMISTRY MARINE
CHAO A, 1984, SCAND J STAT, V11, P265
CLARKE KR, 1988, MAR ECOL PROG SER, V46, P213, DOI 10.3354/meps046213
CLINE JD, 1969, LIMNOL OCEANOGR, V14, P454, DOI 10.4319/lo.1969.14.3.0454
COLE JJ, 1995, LIMNOL OCEANOGR, V40, P1019, DOI 10.4319/lo.1995.40.6.1019
Cole JR, 2005, NUCLEIC ACIDS RES, V33, pD294, DOI 10.1093/nar/gki038
CORNWELL JC, 1995, ACS SYM SER, V612, P224
Crump BC, 2003, APPL ENVIRON MICROB, V69, P2253, DOI 10.1128/AEM.69.4.2253-2268.2003
Crump BC, 2005, LIMNOL OCEANOGR, V50, P1718, DOI 10.4319/lo.2005.50.6.1718
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Curtis TP, 2004, CURR OPIN MICROBIOL, V7, P221, DOI 10.1016/j.mib.2004.04.010
DETMER AE, 1993, MAR ECOL PROG SER, V99, P197, DOI 10.3354/meps099197
EATON A, 1979, GEOCHIM COSMOCHIM AC, V43, P429, DOI 10.1016/0016-7037(79)90208-4
FRIEDERICH GE, 1987, DEEP-SEA RES, V34, P1049, DOI 10.1016/0198-0149(87)90052-5
FROELICH PN, 1979, GEOCHIM COSMOCHIM AC, V43, P1075, DOI 10.1016/0016-7037(79)90095-4
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
GAVIS J, 1986, ESTUAR COAST SHELF S, V23, P451, DOI 10.1016/0272-7714(86)90003-X
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Hagy JD, 2004, ESTUARIES, V27, P634, DOI 10.1007/BF02907650
Hamdan LJ, 2006, ESTUAR COAST, V29, P40, DOI 10.1007/BF02784697
HOFLE MG, 1995, LIMNOL OCEANOGR, V40, P868
Hollibaugh JT, 2001, HYDROBIOLOGIA, V466, P45, DOI 10.1023/A:1014505131859
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
IKEMOTO H, 1994, MICROBIOL-SGM, V140, P2153, DOI 10.1099/13500872-140-8-2153
Jonas RB, 1997, AM ZOOL, V37, P612
JONAS RB, 1990, APPL ENVIRON MICROB, V56, P747, DOI 10.1128/AEM.56.3.747-757.1990
Kan JJ, 2006, LIMNOL OCEANOGR, V51, P2157, DOI 10.4319/lo.2006.51.5.2157
Kana TM, 2006, ESTUARIES COASTS, V29, P222, DOI 10.1007/BF02781991
KANA TM, 1994, ANAL CHEM, V66, P4166, DOI 10.1021/ac00095a009
KEMP WM, 1992, MAR ECOL PROG SER, V85, P137, DOI 10.3354/meps085137
Konopka A, 1999, MICROBIAL ECOL, V38, P126, DOI 10.1007/s002489900166
KUO AY, 1991, ESTUARIES, V14, P113, DOI 10.2307/1351684
Li M, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002585
Madrid VM, 2001, APPL ENVIRON MICROB, V67, P1663, DOI 10.1128/AEM.67.4.1663-1674.2001
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
MCDONOUGH RJ, 1986, APPL ENVIRON MICROB, V52, P992, DOI 10.1128/AEM.52.5.992-1000.1986
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
OFFICER CB, 1984, SCIENCE, V223, P22, DOI 10.1126/science.223.4631.22
Paerl HW, 1998, MAR ECOL PROG SER, V166, P17, DOI 10.3354/meps166017
PAERL HW, 1991, APPL ENVIRON MICROB, V57, P473, DOI 10.1128/AEM.57.2.473-479.1991
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
Pedros-Alio C., 1993, HDB METHODS AQUATIC, P519
Ramsing NB, 1996, APPL ENVIRON MICROB, V62, P1391, DOI 10.1128/AEM.62.4.1391-1404.1996
RODEN EE, 1992, LIMNOL OCEANOGR, V37, P725, DOI 10.4319/lo.1992.37.4.0725
SHEN GZ, 1995, PHOTOSYNTH RES, V44, P41, DOI 10.1007/BF00018295
SIMBERLOFF D, 1972, AM NAT, V106, P414, DOI 10.1086/282781
Singleton DR, 2001, APPL ENVIRON MICROB, V67, P4374, DOI 10.1128/AEM.67.9.4374-4376.2001
Taylor GT, 2001, LIMNOL OCEANOGR, V46, P148, DOI 10.4319/lo.2001.46.1.0148
TERBRAAK CJF, 1986, ECOLOGY, V67, P1167
Thompson JR, 2002, NUCLEIC ACIDS RES, V30, P2083, DOI 10.1093/nar/30.9.2083
Tuominen L, 1995, J MICROBIOL METH, V24, P125, DOI 10.1016/0167-7012(95)00062-3
Tuttle J.H., 1987, CONTAMINANT PROBLEMS, P442
Vetriani C, 2003, APPL ENVIRON MICROB, V69, P6481, DOI 10.1128/AEM.69.11.6481-6488.2003
Viollier E, 2000, APPL GEOCHEM, V15, P785, DOI 10.1016/S0883-2927(99)00097-9
NR 64
TC 78
Z9 94
PD NOV
PY 2007
VL 73
IS 21
BP 6802
EP 6810
DI 10.1128/AEM.00648-07
UT WOS:000250700600012
DA 2025-07-30
ER
PT J
AU Feng, SS
Xiao, WW
Yu, YY
Liu, GF
Zhang, YL
Chen, T
Lu, CR
AF Feng, Shanshan
Xiao, Wenwen
Yu, Yingying
Liu, Guangfeng
Zhang, Yunlong
Chen, Ting
Lu, Changrui
TI Linker-Mediated Inactivation of the SAM-II Domain in the Tandem
SAM-II/SAM-V Riboswitch
SO INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
DT Article
AB Tandem SAM-II/SAM-V riboswitch belongs to a class of riboswitches found in the marine bacterium 'Candidatus Pelagibacter ubique'. Previous studies have demonstrated that these riboswitches have the potential for digital modulation of gene expression at both the transcriptional and translational levels. In this study, we investigate the conformational changes in the tandem SAM-II/SAM-V riboswitch binding to S-adenosylmethionine (SAM) using selective 2 '-hydroxyl acylation analyzed by the primer extension (SHAPE) assay, small-angle X-ray scattering (SAXS), and oligos depressing probing. Our findings reveal that the linker between SAM-II/SAM-V aptamers blocks the SAM response of the SAM-II domain. This result proposes a new mechanism for gene expression regulation, where the ligand-binding functions of tandem riboswitches can be selectively masked or released through a linker.
C1 [Feng, Shanshan; Xiao, Wenwen; Yu, Yingying; Zhang, Yunlong; Chen, Ting; Lu, Changrui] Donghua Univ, Coll Biol Sci & Med Engn, Shanghai 201620, Peoples R China.
[Liu, Guangfeng] Chinese Acad Sci, Shanghai Adv Res Inst, Natl Ctr Prot Sci Shanghai, Shanghai 201204, Peoples R China.
RP Lu, CR (corresponding author), Donghua Univ, Coll Biol Sci & Med Engn, Shanghai 201620, Peoples R China.
EM sandyfss@163.com; wenwen_xiao@yeah.net; yingyingyu0312@163.com;
liuguangfeng@sari.ac.cn; zhyl@dhu.edu.cn; chenting@dhu.edu.cn;
crlu@dhu.edu.cn
CR Adilakshmi T, 2008, NATURE, V455, P1268, DOI 10.1038/nature07298
Ames TD, 2011, RNA BIOL, V8, P82, DOI 10.4161/rna.8.1.13864
Ariza-Mateos A, 2021, BIOCHEMISTRY-MOSCOW+, V86, P962, DOI 10.1134/S0006297921080071
Asuru A, 2019, J SYNCHROTRON RADIAT, V26, P1388, DOI 10.1107/S1600577519003576
Babina AM, 2017, MBIO, V8, DOI 10.1128/mBio.01602-17
Batey RT, 2011, WIRES RNA, V2, P299, DOI 10.1002/wrna.63
Bhagdikar D, 2020, J BIOL CHEM, V295, P6849, DOI 10.1074/jbc.RA120.012853
Bocobza S, 2007, GENE DEV, V21, P2874, DOI 10.1101/gad.443907
Bocobza SE, 2014, PLANT J, V79, P693, DOI 10.1111/tpj.12540
Boyapati VK, 2012, RNA, V18, P1230, DOI 10.1261/rna.032177.111
Breaker RR, 2022, BIOCHEMISTRY-US, V61, P137, DOI 10.1021/acs.biochem.1c00765
Breaker RR, 2012, NAT STRUCT MOL BIOL, V19, P1208, DOI 10.1038/nsmb.2453
Butler EB, 2011, CHEM BIOL, V18, P293, DOI 10.1016/j.chembiol.2011.01.013
Cai RJ, 2019, NUCLEIC ACIDS RES, V47, P9818, DOI 10.1093/nar/gkz692
Cheah MT, 2007, NATURE, V447, P497, DOI 10.1038/nature05769
Chen B, 2012, NUCLEIC ACIDS RES, V40, P3117, DOI 10.1093/nar/gkr1154
Chen H, 2020, NUCLEIC ACIDS RES, V48, P12394, DOI 10.1093/nar/gkaa1029
Corbino KA, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-8-r70
Findeiss S, 2017, SENSORS-BASEL, V17, DOI 10.3390/s17091990
Franke D, 2017, J APPL CRYSTALLOGR, V50, P1212, DOI 10.1107/S1600576717007786
Franke D, 2009, J APPL CRYSTALLOGR, V42, P342, DOI 10.1107/S0021889809000338
Gelfand MS, 1999, TRENDS GENET, V15, P439, DOI 10.1016/S0168-9525(99)01856-9
Gilbert SD, 2008, NAT STRUCT MOL BIOL, V15, P177, DOI 10.1038/nsmb.1371
Grundy FJ, 1998, MOL MICROBIOL, V30, P737, DOI 10.1046/j.1365-2958.1998.01105.x
Harrison GP, 1998, NUCLEIC ACIDS RES, V26, P3433, DOI 10.1093/nar/26.14.3433
Huang LL, 2010, MOL CELL, V40, P774, DOI 10.1016/j.molcel.2010.11.026
Huang L, 2020, RNA, V26, P878, DOI 10.1261/rna.074898.120
Huang L, 2018, NUCLEIC ACIDS RES, V46, P6869, DOI 10.1093/nar/gky520
Huang L, 2017, CELL CHEM BIOL, V24, P695, DOI 10.1016/j.chembiol.2017.05.014
Kanwal F, 2018, CELL PHYSIOL BIOCHEM, V48, P1915, DOI 10.1159/000492512
Kappel K, 2020, NAT METHODS, V17, P698, DOI 10.1038/s41592-020-0878-9
Kavita K, 2023, TRENDS BIOCHEM SCI, V48, P119, DOI 10.1016/j.tibs.2022.08.009
Ke A, 2004, METHODS, V34, P408, DOI 10.1016/j.ymeth.2004.03.027
Konarev PV, 2003, J APPL CRYSTALLOGR, V36, P1277, DOI 10.1107/S0021889803012779
Kozin MB, 2001, J APPL CRYSTALLOGR, V34, P33, DOI 10.1107/S0021889800014126
Kulshina N, 2010, RNA, V16, P186, DOI 10.1261/rna.1847310
Lai EC, 2003, CURR BIOL, V13, pR285, DOI 10.1016/S0960-9822(03)00203-3
Lu C, 2008, NAT STRUCT MOL BIOL, V15, P1076, DOI 10.1038/nsmb.1494
Lu CR, 2011, J MOL BIOL, V409, P786, DOI 10.1016/j.jmb.2011.04.039
Lu CR, 2010, J MOL BIOL, V404, P803, DOI 10.1016/j.jmb.2010.09.059
Malkowski SN, 2019, RNA, V25, P1616, DOI 10.1261/rna.072538.119
Mandal M, 2003, CELL, V113, P577, DOI 10.1016/S0092-8674(03)00391-X
Mandal M, 2004, SCIENCE, V306, P275, DOI 10.1126/science.1100829
McCown PJ, 2017, RNA, V23, P995, DOI 10.1261/rna.061234.117
Merino EJ, 2005, J AM CHEM SOC, V127, P4223, DOI 10.1021/ja043822v
Michaud A, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-61980-w
Mortimer SA, 2007, J AM CHEM SOC, V129, P4144, DOI 10.1021/ja0704028
Mortimer SA, 2009, NAT PROTOC, V4, P1413, DOI 10.1038/nprot.2009.126
Mortimer SA, 2008, J AM CHEM SOC, V130, P16178, DOI 10.1021/ja8061216
Narunsky A, 2024, NUCLEIC ACIDS RES, V52, P5152, DOI 10.1093/nar/gkae248
Nielsen SS, 2009, J APPL CRYSTALLOGR, V42, P959, DOI 10.1107/S0021889809023863
Poiata E, 2009, RNA, V15, P2046, DOI 10.1261/rna.1824209
Popenda M, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gks339
Premkumar KAR, 2020, FRONT BIOENG BIOTECH, V8, DOI 10.3389/fbioe.2020.00808
Reiss CW, 2017, RNA, V23, P1338, DOI 10.1261/rna.061804.117
Ren AM, 2015, CELL REP, V13, P1800, DOI 10.1016/j.celrep.2015.10.062
Ruff KM, 2016, RNA, V22, P1728, DOI 10.1261/rna.057935.116
Salvail H, 2023, CURR BIOL, V33, pR343, DOI 10.1016/j.cub.2023.03.069
Sarzynska J, 2023, PROTEINS, V91, P1790, DOI 10.1002/prot.26578
Schamber T, 2022, CHEMBIOCHEM, V23, DOI 10.1002/cbic.202100564
Serganov A, 2012, ANNU REV BIOPHYS, V41, P343, DOI 10.1146/annurev-biophys-101211-113224
Sexton AN, 2017, BIOCHEMISTRY-US, V56, P4713, DOI 10.1021/acs.biochem.7b00323
Sharma R, 2024, J BACTERIOL, V206, DOI 10.1128/jb.00168-24
Sherlock ME, 2022, RNA BIOL, V19, P1059, DOI 10.1080/15476286.2022.2119017
Sherlock ME, 2018, ELIFE, V7, DOI 10.7554/eLife.33908
Sherlock ME, 2017, BIOCHEMISTRY-US, V56, P352, DOI 10.1021/acs.biochem.6b01270
Sherman EM, 2012, RNA, V18, P496, DOI 10.1261/rna.031286.111
Sinumvayo JP, 2018, WORLD J MICROB BIOT, V34, DOI 10.1007/s11274-018-2554-0
Sudarsan N, 2003, RNA, V9, P644, DOI 10.1261/rna.5090103
Sudarsan N, 2006, SCIENCE, V314, P300, DOI 10.1126/science.1130716
Sun AA, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13600-9
Svergun D, 1995, J APPL CRYSTALLOGR, V28, P768, DOI 10.1107/S0021889895007047
SVERGUN DI, 1992, J APPL CRYSTALLOGR, V25, P495, DOI 10.1107/S0021889892001663
Tang DJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16417-z
Thore S, 2008, J AM CHEM SOC, V130, P8116, DOI 10.1021/ja801708e
Tollerson R, 2020, J BIOL CHEM, V295, P10434, DOI 10.1074/jbc.REV120.012742
Torgerson CD, 2020, RNA, V26, P564, DOI 10.1261/rna.073577.119
Tucker BJ, 2005, CURR OPIN STRUC BIOL, V15, P342, DOI 10.1016/j.sbi.2005.05.003
Vasa SM, 2008, RNA, V14, P1979, DOI 10.1261/rna.1166808
Volkov VV, 2003, J APPL CRYSTALLOGR, V36, P860, DOI 10.1107/S0021889803000268
Wilkinson KA, 2006, NAT PROTOC, V1, P1610, DOI 10.1038/nprot.2006.249
Winkler WC, 2003, NAT STRUCT BIOL, V10, P701, DOI 10.1038/nsb967
Wuebben C, 2020, NUCLEIC ACIDS RES, V48, P10518, DOI 10.1093/nar/gkaa703
Zhang KM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13494-7
Zhang YJ, 2001, BIOTECHNIQUES, V31, P1286, DOI 10.2144/01316st02
Zheng LQ, 2023, SCI CHINA LIFE SCI, V66, P31, DOI 10.1007/s11427-022-2188-7
NR 86
TC 0
Z9 0
PD OCT
PY 2024
VL 25
IS 20
AR 11288
DI 10.3390/ijms252011288
UT WOS:001341601300001
DA 2025-07-30
ER
PT J
AU Chen, Y
Patel, NA
Crombie, A
Scrivens, JH
Murrell, JC
AF Chen, Yin
Patel, Nisha A.
Crombie, Andrew
Scrivens, James H.
Murrell, J. Colin
TI Bacterial flavin-containing monooxygenase is trimethylamine
monooxygenase
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Flavin-containing monooxygenases (FMOs) are one of the most important monooxygenase systems in Eukaryotes and have many important physiological functions. FMOs have also been found in bacteria; however, their physiological function is not known. Here, we report the identification and characterization of trimethylamine (TMA) monooxygenase, termed Tmm, from Methylocella silvestris, using a combination of proteomic, biochemical, and genetic approaches. This bacterial FMO contains the FMO sequence motif (FXGXXXHXXXF/Y) and typical flavin adenine dinucleotide and nicotinamide adenine dinucleotide phosphate-binding domains. The enzyme was highly expressed in TMA-grown M. silvestris and absent during growth on methanol. The gene, tmm, was expressed in Escherichia coli, and the purified recombinant protein had high Tmm activity. Mutagenesis of this gene abolished the ability of M. silvestris to grow on TMA as a sole carbon and energy source. Close homologs of tmm occur in many Alphaproteobacteria, in particular Rhodobacteraceae (marine Roseobacter clade, MRC) and the marine SAR11 clade (Pelagi-bacter ubique). We show that the ability of MRC to use TMA as a sole carbon and/or nitrogen source is directly linked to the presence of tmm in the genomes, and purified Tmm of MRC and SAR11 from recombinant E. coli showed Tmm activities. The tmm gene is highly abundant in the metagenomes of the Global Ocean Sampling expedition, and we estimate that 20% of the bacteria in the surface ocean contain tmm. Taken together, our results suggest that Tmm, a bacterial FMO, plays an important yet overlooked role in the global carbon and nitrogen cycles.
C1 [Chen, Yin; Patel, Nisha A.; Crombie, Andrew; Scrivens, James H.; Murrell, J. Colin] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
RP Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
EM cheny98@gmail.com; j.c.murrell@warwick.ac.uk
CR ALBERTA JA, 1987, J BIOL CHEM, V262, P11857
Alfieri A, 2008, P NATL ACAD SCI USA, V105, P6572, DOI 10.1073/pnas.0800859105
Anthony C., 1982, BIOCH METHYLOTROPHS
Bartsch M, 2006, PLANT CELL, V18, P1038, DOI 10.1105/tpc.105.039982
Boden R, 2008, ENVIRON MICROBIOL, V10, P3225, DOI 10.1111/j.1462-2920.2008.01711.x
BOULTON CA, 1975, FEBS LETT, V55, P286, DOI 10.1016/0014-5793(75)81013-1
BOULTON CA, 1974, BIOCHEM J, V140, P253, DOI 10.1042/bj1400253
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Chandler SR, 1983, THESIS U READING REA
Chen Y, 2010, APPL ENVIRON MICROB, V76, P4530, DOI 10.1128/AEM.00739-10
Chen Y, 2010, APPL ENVIRON MICROB, V76, P4102, DOI 10.1128/AEM.00469-10
Choi HS, 2003, BIOCHEM BIOPH RES CO, V306, P930, DOI 10.1016/S0006-291X(03)01087-8
Facchini MC, 2008, ENVIRON SCI TECHNOL, V42, P9116, DOI 10.1021/es8018385
Fitzsimons MF, 2001, ENVIRON EXP BOT, V46, P225, DOI 10.1016/S0098-8472(01)00102-2
Fraaije MW, 2002, FEBS LETT, V518, P43, DOI 10.1016/S0014-5793(02)02623-6
Gibb SW, 2004, MAR CHEM, V91, P65, DOI 10.1016/j.marchem.2004.04.005
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
KAMIYA A, 1984, J CHROMATOGR, V292, P383, DOI 10.1016/S0021-9673(01)83617-7
King G. M., 1988, NITROGEN CYCLING COA, P143
Koch M, 2006, PLANT J, V47, P629, DOI 10.1111/j.1365-313X.2006.02813.x
LARGE PJ, 1972, BIOCHEM J, V128, pP137
Lee C., 1984, Organic Geochemistry, V6, P259, DOI DOI 10.1016/0146-6380(84)90047-0
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Mishina TE, 2006, PLANT PHYSIOL, V141, P1666, DOI 10.1104/pp.106.081257
Mitchell SC, 2001, DRUG METAB DISPOS, V29, P517
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Müller C, 2009, ATMOS CHEM PHYS, V9, P9587
OREN A, 1990, ANTON LEEUW INT J G, V58, P291, DOI 10.1007/BF00399342
Patel VJ, 2009, J PROTEOME RES, V8, P3752, DOI 10.1021/pr900080y
Rinaldi M, 2010, ADV METEOROL, V2010, DOI 10.1155/2010/310682
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schlaich NL, 2007, TRENDS PLANT SCI, V12, P412, DOI 10.1016/j.tplants.2007.08.009
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Suh JK, 1996, ARCH BIOCHEM BIOPHYS, V336, P268, DOI 10.1006/abbi.1996.0557
Suh JK, 2000, P NATL ACAD SCI USA, V97, P121, DOI 10.1073/pnas.97.1.121
Suh JK, 1999, P NATL ACAD SCI USA, V96, P2687, DOI 10.1073/pnas.96.6.2687
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
van Berkel WJH, 2006, J BIOTECHNOL, V124, P670, DOI 10.1016/j.jbiotec.2006.03.044
VANNESTE A, 1987, GEOPHYS RES LETT, V14, P711, DOI 10.1029/GL014i007p00711
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Welsh DT, 2000, FEMS MICROBIOL REV, V24, P263, DOI 10.1111/j.1574-6976.2000.tb00542.x
ZHANG L, 1991, BIOTECHNOL LETT, V13, P223, DOI 10.1007/BF01025822
Zhao YD, 2001, SCIENCE, V291, P306, DOI 10.1126/science.291.5502.306
Ziegler DM, 2002, DRUG METAB REV, V34, P503, DOI 10.1081/DMR-120005650
ZIEGLER DM, 1993, ANNU REV PHARMACOL, V33, P179, DOI 10.1146/annurev.pa.33.040193.001143
NR 50
TC 119
Z9 134
PD OCT 25
PY 2011
VL 108
IS 43
BP 17791
EP 17796
DI 10.1073/pnas.1112928108
UT WOS:000296378100051
DA 2025-07-30
ER
PT J
AU Oh, HM
Lee, JH
Choi, A
Yang, SH
Shin, GH
Kang, SG
Cho, JC
Kim, HJ
Kwon, KK
AF Oh, Hyun-Myung
Lee, Ji Hyen
Choi, Ahyoung
Yang, Sung-Hyun
Shin, Gyung-Hoon
Kang, Sung Gyun
Cho, Jang-Cheon
Kim, Hak Jun
Kwon, Kae-Kyoung
TI Effect of Light Regime on Candidatus Puniceispirillum marinum
IMCC1322 in Nutrient-Replete Conditions
SO JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY
DT Article
AB Previous studies showed no improvement in bacterial biomass for Candidatus Puniceispirillum marinum IMCC1322 under light regimes. Nevertheless, in nutrient-replete cultures with higher inoculating cell densities, strain IMCC1322 exhibited proteorhodopsin photoheterotrophy. Increasing both inoculum size and the amino acid pool can eliminate quorum sensing and starvation responses in strain IMCC1322. Light regimes affected IMCC1322 cultures in stationary/death phases, where cellular ATP levels ranged from 0.0331 to 1.74 mM, with ATP/cell ranging from 13.9 to 367 zeptomoles. In nutrient-depleted conditions, strain IMCC1322 may suffer from excessive protons generated by proteorhodopsin under light conditions. IMCC1322 may tolerate excessive periplasmic protons through ATP-dependent proton pumping and protonation of augmented amino acids. Meanwhile, acid stress could also be mitigated by refining membrane permeability through unsaturation and cyclopropanation of phospholipids. Oceanic bacteria such as IMCC1322 and SAR11 preferred anaplerotic TCA cycles over glycolysis and rely on the Entner-Doudoroff (ED) pathway for growth. Although ATP generation is less efficient in the ED pathway, it offers advantages during rapid growth owing to its strong thermodynamic driving force. The metabolism of IMCC1322 favors gluconeogenesis over glycolysis, aligning with the metabolism of SAR11 reported in previous studies. However, the additional light-driven, PR-dependent ATP synthesis in IMCC1322 is expected to be insufficient to support protein turnover after the log phase, as well as in nutrient-limited conditions. Stable isotope measurements showed no significant differences in the inorganic carbon assimilation between constant light and constant dark cultures in late log phase.
C1 [Oh, Hyun-Myung] Pukyong Natl Univ, Inst Liberal Arts Educ, Busan 48547, South Korea.
[Lee, Ji Hyen] Ewha Womans Univ, Sch Med, Dept Pediat, Seoul 07804, South Korea.
[Choi, Ahyoung] Nakdonggang Natl Inst Biol Resources, Sangju 37242, South Korea.
[Yang, Sung-Hyun; Kang, Sung Gyun] Korea Inst Ocean Sci & Technol, Busan 49111, South Korea.
[Shin, Gyung-Hoon; Kwon, Kae-Kyoung] Hanyang Univ ERICA, Ansan 15588, South Korea.
[Cho, Jang-Cheon] Inha Univ, Div Biol & Ocean Sci, Incheon 22212, South Korea.
[Kim, Hak Jun] Pukyong Natl Univ, Dept Chem, Busan 48547, South Korea.
RP Kwon, KK (corresponding author), Hanyang Univ ERICA, Ansan 15588, South Korea.; Kim, HJ (corresponding author), Pukyong Natl Univ, Dept Chem, Busan 48547, South Korea.
EM kimhj@pknu.ac.kr; kkkwon@kordi.re.kr
CR Abd Halim NFA, 2022, APPL MICROBIOL BIOT, V106, P5957, DOI 10.1007/s00253-022-12142-3
Akashi H, 2002, P NATL ACAD SCI USA, V99, P3695, DOI 10.1073/pnas.062526999
Albuquerque P, 2012, MED MYCOL, V50, P337, DOI 10.3109/13693786.2011.652201
Bansal A, 2019, BIOCHEMISTRY-US, V58, P1992, DOI 10.1021/acs.biochem.9b00050
Bar-Shalom R, 2023, ISME J, V17, P1063, DOI 10.1038/s41396-023-01412-1
Bayon-Vicente G, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.731976
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bennett BD, 2009, NAT CHEM BIOL, V5, P593, DOI 10.1038/nchembio.186
Berrocal A, 2012, J APPL MICROBIOL, V113, P126, DOI 10.1111/j.1365-2672.2012.05317.x
Bertsova YV, 2015, BIOCHEMISTRY-MOSCOW+, V80, P449, DOI 10.1134/S0006297915040082
Binder S, 2007, PHYSIOL PLANTARUM, V129, P68, DOI 10.1111/j.1399-3054.2006.00800.x
Blaza JN, 2017, SCI REP-UK, V7, DOI 10.1038/srep40165
Brown JL, 1997, INT J FOOD MICROBIOL, V37, P163, DOI 10.1016/S0168-1605(97)00068-8
Caligiani A, 2014, J AGR FOOD CHEM, V62, P7828, DOI 10.1021/jf4057204
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cavicchioli R, 2003, MICROB ECOL, V45, P203, DOI 10.1007/s00248-002-3008-6
Cesselin B, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.01079-21
Chazan A, 2023, NATURE, V615, P535, DOI [10.1038/s41586-023-05774, 10.1038/s41586-023-05774-6]
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Cotton CAR, 2020, ELIFE, V9, DOI 10.7554/eLife.54207
Cronan JE, 2022, MICROBIOL MOL BIOL R, V86, DOI 10.1128/mmbr.00013-22
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
Fang MX, 2018, P NATL ACAD SCI USA, V115, P6446, DOI 10.1073/pnas.1803220115
Feng S, 2013, ISME J, V7, P2206, DOI 10.1038/ismej.2013.97
Gallagher GE, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.01263-21
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2016, ISME J, V10, P1102, DOI 10.1038/ismej.2015.196
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Guan NZ, 2020, APPL MICROBIOL BIOT, V104, P51, DOI 10.1007/s00253-019-10226-1
HADDOCK BA, 1977, BACTERIOL REV, V41, P47, DOI 10.1128/MMBR.41.1.47-99.1977
Hall CJ, 2020, PEST MANAG SCI, V76, P3896, DOI 10.1002/ps.5943
Hattori N, 2003, ANAL BIOCHEM, V319, P287, DOI 10.1016/S0003-2697(03)00322-1
Hnicka M., 2000, aacomp, A Unix command line tool to analyze the amino acid composition of protein sequences
Huang SS, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.01491-21
Inigo M, 2021, ANNU REV NUTR, V41, P19, DOI 10.1146/annurev-nutr-120420-025558
Kaleta C, 2013, BIOTECHNOL J, V8, P1105, DOI 10.1002/biot.201200267
Kanehisa M, 2002, NUCLEIC ACIDS RES, V30, P42, DOI 10.1093/nar/30.1.42
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
Koch AL, 2001, BIOESSAYS, V23, P657, DOI 10.1002/bies.1091
Kramer DM, 2011, PLANT PHYSIOL, V155, P70, DOI 10.1104/pp.110.166652
Krulwich TA, 2011, NAT REV MICROBIOL, V9, P330, DOI 10.1038/nrmicro2549
Law RC, 2024, NAT CHEM BIOL, V20, DOI 10.1038/s41589-023-01395-2
Lee JH, 2024, J MICROBIOL, V62, P297, DOI 10.1007/s12275-024-00125-0
Lee J, 2019, J MICROBIOL, V57, P676, DOI 10.1007/s12275-019-9001-2
Li FY, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-42909-9
Li LB, 2023, FRONT MICROBIOL, V14, DOI 10.3389/fmicb.2023.1250151
Lichev A, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47423-x
Ma YL, 2019, J BIOCHEM, V166, P139, DOI 10.1093/jb/mvz018
Maiti A, 2023, J PHYS CHEM B, DOI 10.1021/acs.jpcb.3c00541
Maksym RP, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00766
Moreno-Gámez S, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00903-y
Müller M, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10980
Mykytczuk NCS, 2010, EXTREMOPHILES, V14, P427, DOI 10.1007/s00792-010-0319-2
Norris N, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009023
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Pahalagedara ASNW, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0266406
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Park B, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-10948-0
Pinhassi J, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.869093
Poff KE, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018269118
Riedel T, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057487
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
Ronneau S, 2019, FEMS MICROBIOL REV, V43, P389, DOI 10.1093/femsre/fuz009
RUSSELL JB, 1995, MICROBIOL REV, V59, P48, DOI 10.1128/MMBR.59.1.48-62.1995
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sauer U, 2004, J BIOL CHEM, V279, P6613, DOI 10.1074/jbc.M311657200
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
STOUTHAMER AH, 1973, A VAN LEEUW J MICROB, V39, P545, DOI 10.1007/BF02578899
Traxler MF, 2008, MOL MICROBIOL, V68, P1128, DOI 10.1111/j.1365-2958.2008.06229.x
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Urvoy M, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.834337
Velly H, 2015, APPL MICROBIOL BIOT, V99, P907, DOI 10.1007/s00253-014-6152-2
Wang Z, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038749
Wu T, 2024, MICROB CELL FACT, V23, DOI 10.1186/s12934-024-02436-8
Yang HW, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-020-6699-5
Zhang YM, 2008, NAT REV MICROBIOL, V6, P222, DOI 10.1038/nrmicro1839
Zimbro MJ, 2018, DifcoTM & BBLTM Manual, V2ND, P676
NR 84
TC 0
Z9 0
PY 2025
VL 35
AR e2410034
DI 10.4014/jmb.2410.10034
UT WOS:001398736600003
DA 2025-07-30
ER
PT J
AU Korlevic, M
Markovski, M
Herndl, GJ
Najdek, M
AF Korlevic, Marino
Markovski, Marsej
Herndl, Gerhard J.
Najdek, Mirjana
TI Temporal variation in the prokaryotic community of a nearshore marine
environment
SO SCIENTIFIC REPORTS
DT Article
AB Prokaryotic communities inhabiting surface waters of temperate areas exhibit patterns of seasonal succession. Generally, studies describing these temporal changes are not performed in the proximity to the coast. In the present study, temporal variation of these communities was determined in surface waters at two stations located in the close proximity to the eastern shore of the northern Adriatic Sea. Sequencing of the V4 region of the 16S rRNA gene identified the highest community richness in December with distinct shifts in community structure between periods from April to May, June to October, and November to March. Temperature was shown to be the main environmental force explaining community temporal variation. The NS5 marine group, uncultured Cryomorphaceae, SAR86 clade, and Synechococcus were present throughout the year. Members without know relatives within Rhodobacteraceae and the NS4 marine group were more pronounced in the period from April to May, the AEGEAN-169 marine group, SAR11 subclade III, and HIMB11 in the period from June to October, and SAR11 subclade Ia and Archaea in the period from November to March. Litoricola and OM60 (NOR5) clade were characteristic for both the community sampled from April to May and November to March. Taken together, prokaryotic communities inhabiting nearshore surface waters exhibit a general pattern in community structure similar to other surface associated assemblages of temperate areas. However, the identified specific community composition and temporal patterns differ from other coastal areas.
C1 [Korlevic, Marino; Markovski, Marsej; Najdek, Mirjana] Rudjer Boskovic Inst, Ctr Marine Res, Rovinj, Croatia.
[Herndl, Gerhard J.] Univ Vienna, Dept Funct & Evolutionary Ecol, Vienna, Austria.
[Herndl, Gerhard J.] Univ Utrecht, Royal Netherlands Inst Sea Res NIOZ, Dept Marine Microbiol & Biogeochem, Den Burg, Netherlands.
RP Korlevic, M (corresponding author), Rudjer Boskovic Inst, Ctr Marine Res, Rovinj, Croatia.
EM marino.korlevic@irb.hr
CR Allaire J., 2021, rmarkdown: Dynamic documents for R
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Bayer B, 2019, INT J SYST EVOL MICR, V69, P1892, DOI 10.1099/ijsem.0.003360
Borcard D., 2018, NUMERICAL ECOLOGY R, DOI [10.1007/978-3-319-71404-21383.92001, DOI 10.1007/978-3-319-71404-21383.92001]
Bowman J., 2014, PROKARYOTES OTHER MA, P539, DOI [10.1007/978-3-642-38954-2_135, DOI 10.1007/978-3-642-38954-2_135]
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
El-Swais H, 2015, ENVIRON MICROBIOL, V17, P3642, DOI 10.1111/1462-2920.12629
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
García FC, 2015, ENVIRON MICROBIOL, V17, P4133, DOI 10.1111/1462-2920.12984
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Ivancic I, 2010, J MARINE SYST, V82, P206, DOI 10.1016/j.jmarsys.2010.05.008
Jost L, 2006, OIKOS, V113, P363, DOI 10.1111/j.2006.0030-1299.14714.x
Kim JG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221408
Korlevic M, 2016, SYST APPL MICROBIOL, V39, P398, DOI 10.1016/j.syapm.2016.06.006
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
Korlevic M, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.671342
Korlevic M, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.665999
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Legendre P., 2012, NUMERICAL ECOLOGY
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Manna V, 2021, MAR ENVIRON RES, V164, DOI 10.1016/j.marenvres.2020.105245
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
McKinnon Edwards S., 2020, LEMON FRESHING YOUR
Mestre M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01590
Mozetic P, 2010, ESTUAR COAST, V33, P362, DOI 10.1007/s12237-009-9191-7
Najdek M, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.602055
Najdek M, 2020, BIOGEOSCIENCES, V17, P3299, DOI 10.5194/bg-17-3299-2020
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Neuwirth E., 2014, RCOLORBREWER COLORBR
Ngugi DK, 2018, GENOME ANNOUNCEMENTS, V6, DOI 10.1128/genomeA.00565-18
Oksanen, 2022, VEGAN COMMUNITY ECOL
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Reinthaler T, 2005, APPL ENVIRON MICROB, V71, P2260, DOI 10.1128/AEM.71.5.2260-2266.2005
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schloss PD, 2016, PEERJ, V4, DOI 10.7717/peerj.1869
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Silovic T, 2012, FEMS MICROBIOL ECOL, V82, P678, DOI 10.1111/j.1574-6941.2012.01438.x
Sintes E, 2013, FEMS MICROBIOL ECOL, V83, P413, DOI 10.1111/1574-6941.12003
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-117
Strickland J.D.H., 1968, B FISH RES BOARD CAN, V167, P310, DOI [10.1002/iroh.19700550118, DOI 10.1002/IROH.19700550118]
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tinta T, 2015, ENVIRON MICROBIOL, V17, P3581, DOI 10.1111/1462-2920.12519
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Wickham H., 2019, J OPEN SOURCE SOFTWA, V4, P1686, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
Wilke CO., 2017, COWPLOT STREAMLINED
Xie Y., 2018, The Definitive Guide
Xie Y., 2014, Implementing reproducible computational research
Xie Y, 2021, GEN PURPOSE PACKAGE
Xie Y., 2018, R Markdown: the definitive guide
Xie Y., 2015, Dynamic documents with R and knitr, V2nd, DOI DOI 10.1201/9781315382487
Xie Yihui., 2021, tinytex: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
[解玉栋 Xie Yudong], 2019, [材料热处理学报, Transactions of Materials and Heat Treatment], V40, P30
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Zhu H., 2019, kableExtra: Construct Complex Table with kable and Pipe Syntax
NR 69
TC 13
Z9 13
PD OCT 7
PY 2022
VL 12
IS 1
AR 16859
DI 10.1038/s41598-022-20954-6
UT WOS:000865124900050
DA 2025-07-30
ER
PT J
AU Piccini, C
Conde, D
Alonso, C
Sommaruga, R
Pernthaler, J
AF Piccini, Claudia
Conde, Daniel
Alonso, Cecilia
Sommaruga, Ruben
Pernthaler, Jakob
TI Blooms of single bacterial species in a coastal lagoon of the
southwestern Atlantic Ocean
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We investigated seasonal differences in community structure and activity (leucine incorporation) of the planktonic bacterial assemblage in the freshwater and brackish-water zones of a shallow coastal lagoon of the southwestern Atlantic Ocean. Alphaproteobacteria formed the dominant microbial group in both zones throughout the sampling period. After an intrusion of marine water, members of the SAR11 lineage became abundant in the brackish-water zone. These bacteria were apparently distributed over the lagoon during the following months until they constituted almost 30% of all prokaryotic cells at both sampling sites. At the first sampling date (March 2003) a single alphaproteobacterial species unrelated to SAR11, Sphingomonas echinoides, dominated the microbial assemblages in both zones of the lagoon concomitantly with a bloom of filamentous cyanobacteria. Pronounced maxima of leucine incorporation were observed once in each zone of the lagoon. In the freshwater zone, this highly active microbial assemblage was a mix of the typical bacteria lineages expected in aquatic systems. By contrast, a single bacterial genotype with > 99% similarity to the facultative pathogen gammaproteobacterial species Stenotrophomonas maltophilia formed > 90% of the bacterial assemblage (> 10(7) cell ml(-1)) in the brackish-water zone at the time point of highest bacterial leucine incorporation. Moreover, these bacteria were equally dominant, albeit less active, in the freshwater zone. Thus, the pelagic zone of the studied lagoon harbored repeated short-term blooms of single bacterial species. This finding may have consequences for environmental protection.
C1 Univ Zurich, Limnol Stn, Dept Plant Biol, Inst Plant Biol, CH-8802 Kilchberg, Switzerland.
Univ Uruguay, Fac Sci, Limnol Sect, Montevideo, Uruguay.
Inst Invest Biol Clemente Estable, Microbiol Lab, Montevideo, Uruguay.
Inst Ecol, Lab Aquat Photobiol & Plankton Ecol, Innsbruck, Austria.
RP Pernthaler, J (corresponding author), Univ Zurich, Limnol Stn, Dept Plant Biol, Inst Plant Biol, Seestr 187, CH-8802 Kilchberg, Switzerland.
EM pernthaler@limnol.unizh.ch
CR ABREU PC, 1994, J PLANKTON RES, V16, P737, DOI 10.1093/plankt/16.7.737
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
[Anonymous], 1995, Standard methods for examination of water and waste water, V19th
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
AZNAR R, 1992, SYST APPL MICROBIOL, V15, P235, DOI 10.1016/S0723-2020(11)80097-4
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
Bell KNI, 2001, ESTUAR COAST SHELF S, V52, P327, DOI 10.1006/ecss.2000.0709
Benlloch S, 1995, FEMS MICROBIOL ECOL, V18, P267
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Coffin RB, 1997, HYDROBIOLOGIA, V353, P53, DOI 10.1023/A:1003038307684
Cole JR, 2005, NUCLEIC ACIDS RES, V33, pD294, DOI 10.1093/nar/gki038
Conde D, 1999, LIMN DEV COUNTR, V2, P1
Conde D, 2000, MAR ECOL PROG SER, V207, P19, DOI 10.3354/meps207019
Conde D, 1999, HYDROBIOLOGIA, V408, P285, DOI 10.1023/A:1017086513787
Covert JS, 2001, AQUAT MICROB ECOL, V25, P127, DOI 10.3354/ame025127
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
De Wever A, 2005, APPL ENVIRON MICROB, V71, P5029, DOI 10.1128/AEM.71.9.5029-5037.2005
DEBETTE J, 1977, CAN J MICROBIOL, V23, P1123, DOI 10.1139/m77-168
Denton M, 1998, CLIN MICROBIOL REV, V11, P57, DOI 10.1128/CMR.11.1.57
Eiler A, 2004, ENVIRON MICROBIOL, V6, P1228, DOI 10.1111/j.1462-2920.2004.00657.x
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Furtado ALD, 2002, BRAZ ARCH BIOL TECHN, V45, P195, DOI 10.1590/S1516-89132002000200011
Furtado ALS, 2001, AN ACAD BRAS CIENC, V73, P39, DOI 10.1590/S0001-37652001000100005
Geiss U, 2003, APPL ENVIRON MICROB, V69, P6243, DOI 10.1128/AEM.69.10.6243-6249.2003
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
GROSSART HP, 1993, LIMNOL OCEANOGR, V38, P532, DOI 10.4319/lo.1993.38.3.0532
JEFFREY SW, 1975, BIOCHEM PHYSIOL PFL, V167, P191, DOI 10.1016/s0015-3796(17)30778-3
JUHNKE ME, 1987, APPL ENVIRON MICROB, V53, P2793, DOI 10.1128/AEM.53.12.2793-2799.1987
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kirchman DL, 2001, AQUAT MICROB ECOL, V26, P13, DOI 10.3354/ame026013
Kirchman DL., 1993, HDB METHODS AQUATIC, P513
LaMontagne MG, 2003, MICROBIAL ECOL, V46, P228, DOI 10.1007/s00248-001-1072-y
Langenheder S, 2003, FEMS MICROBIOL ECOL, V45, P189, DOI 10.1016/S0168-6496(03)00149-1
Lebaron P, 2001, FEMS MICROBIOL ECOL, V34, P255, DOI 10.1016/S0168-6496(00)00103-3
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Miller SD, 2005, P NATL ACAD SCI USA, V102, P14181, DOI 10.1073/pnas.0507253102
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
OLIVEIRA AM, 1993, ESTUAR COAST SHELF S, V37, P575, DOI 10.1006/ecss.1993.1074
PAINCHAUD J, 1995, APPL ENVIRON MICROB, V61, P205, DOI 10.1128/AEM.61.1.205-208.1995
Park HD, 2001, ENVIRON TOXICOL, V16, P337, DOI 10.1002/tox.1041
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pernthaler J, 2003, APPL ENVIRON MICROB, V69, P2631, DOI 10.1128/AEM.69.5.2631-2637.2003
Ranasinghe R, 1999, MAR FRESHWATER RES, V50, P281, DOI 10.1071/MF98037
Raymond PA, 2000, AQUAT MICROB ECOL, V22, P1, DOI 10.3354/ame022001
ROLLER C, 1994, MICROBIOL-UK, V140, P2849, DOI 10.1099/00221287-140-10-2849
Sakami T, 2003, ESTUAR COAST SHELF S, V56, P111, DOI 10.1016/S0272-7714(02)00126-9
Schut F, 1997, FEMS MICROBIOL REV, V20, P363, DOI 10.1016/S0168-6445(97)00018-1
Simek K, 2005, APPL ENVIRON MICROB, V71, P2381, DOI 10.1128/AEM.71.5.2381-2390.2005
Simek K, 2001, MICROB ECOL, V42, P359, DOI 10.1007/s00248-001-0014-z
SWINGS J, 1983, INT J SYST BACTERIOL, V33, P409, DOI 10.1099/00207713-33-2-409
WALLACE WH, 1994, MICROBIAL ECOL, V27, P213, DOI 10.1007/BF00182406
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Zhang Z, 2001, PHYTOPATHOLOGY, V91, P204, DOI 10.1094/PHYTO.2001.91.2.204
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 62
TC 66
Z9 67
PD OCT
PY 2006
VL 72
IS 10
BP 6560
EP 6568
DI 10.1128/AEM.01089-06
UT WOS:000241170300017
DA 2025-07-30
ER
PT J
AU Born, DA
Ulrich, EC
Ju, KS
Peck, SC
van der Donk, WA
Drennan, CL
AF Born, David A.
Ulrich, Emily C.
Ju, Kou-San
Peck, Spencer C.
van der Donk, Wilfred A.
Drennan, Catherine L.
TI Structural basis for methylphosphonate biosynthesis
SO SCIENCE
DT Article
AB Methylphosphonate synthase (MPnS) produces methylphosphonate, a metabolic precursor to methane in the upper ocean. Here, we determine a 2.35-angstrom resolution structure of MPnS and discover that it has an unusual 2-histidine-1-glutamine iron-coordinating triad. We further solve the structure of a related enzyme, hydroxyethylphosphonate dioxygenase from Streptomyces albus (SaHEPD), and find that it displays the same motif. SaHEPD can be converted into an MPnS by mutation of glutamine-adjacent residues, identifying the molecular requirements for methylphosphonate synthesis. Using these sequence markers, we find numerous putative MPnSs in marine microbiomes and confirm that MPnS is present in the abundant Pelagibacter ubique. The ubiquity of MPnS-containing microbes supports the proposal that methylphosphonate is a source of methane in the upper, aerobic ocean, where phosphorus-starved microbes catabolize methylphosphonate for its phosphorus.
C1 [Born, David A.] Harvard Univ, Grad Program Biophys, Cambridge, MA 02138 USA.
[Born, David A.; Drennan, Catherine L.] MIT, Dept Biol, Cambridge, MA USA.
[Ulrich, Emily C.; Peck, Spencer C.; van der Donk, Wilfred A.] Univ Illinois, Dept Chem, Urbana, IL USA.
[Ulrich, Emily C.; Ju, Kou-San; Peck, Spencer C.; van der Donk, Wilfred A.] Univ Illinois, Carl R Woese Inst Genom Biol, Urbana, IL USA.
[Ju, Kou-San] Ohio State Univ, Dept Microbiol, 484 W 12th Ave, Columbus, OH 43210 USA.
[Ju, Kou-San] Ohio State Univ, Div Med Chem & Pharmacognosy, Columbus, OH 43210 USA.
[van der Donk, Wilfred A.] Univ Illinois, Howard Hughes Med Inst, Urbana, IL USA.
[Drennan, Catherine L.] MIT, Dept Chem, Cambridge, MA 02139 USA.
[Drennan, Catherine L.] MIT, Howard Hughes Med Inst, Cambridge, MA USA.
[Peck, Spencer C.] Harvard Univ, Dept Chem & Chem Biol, Cambridge, MA 02138 USA.
RP Drennan, CL (corresponding author), MIT, Dept Biol, Cambridge, MA USA.; van der Donk, WA (corresponding author), Univ Illinois, Dept Chem, Urbana, IL USA.; van der Donk, WA (corresponding author), Univ Illinois, Carl R Woese Inst Genom Biol, Urbana, IL USA.; van der Donk, WA (corresponding author), Univ Illinois, Howard Hughes Med Inst, Urbana, IL USA.; Drennan, CL (corresponding author), MIT, Dept Chem, Cambridge, MA 02139 USA.; Drennan, CL (corresponding author), MIT, Howard Hughes Med Inst, Cambridge, MA USA.
EM vddonk@illinois.edu; cdrennan@mit.edu
CR Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Cicchillo RM, 2009, NATURE, V459, P871, DOI 10.1038/nature07972
Cooke HA, 2012, J AM CHEM SOC, V134, P15660, DOI 10.1021/ja306777w
DAUGHTON CG, 1979, FEMS MICROBIOL LETT, V5, P91, DOI 10.1111/j.1574-6968.1979.tb03254.x
DeLano W.L., 2002, The PyMOL Molecular Graphics System
Higgins LJ, 2005, NATURE, V437, P838, DOI 10.1038/nature03924
Holmes ME, 2000, GLOBAL BIOGEOCHEM CY, V14, P1, DOI 10.1029/1999GB001209
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
KARL DM, 1994, NATURE, V368, P732, DOI 10.1038/368732a0
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Liu PH, 2001, J AM CHEM SOC, V123, P4619, DOI 10.1021/ja004153y
Liu YC, 2008, ANN NY ACAD SCI, V1125, P171, DOI 10.1196/annals.1419.019
Metcalf WW, 2012, SCIENCE, V337, P1104, DOI 10.1126/science.1219875
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Peck SC, 2015, J AM CHEM SOC, V137, P3217, DOI 10.1021/jacs.5b00282
Repeta DJ, 2016, NAT GEOSCI, V9, P884, DOI [10.1038/NGEO2837, 10.1038/ngeo2837]
Rogers J.E., 1991, MICROBIAL PRODUCTION
SCRANTON MI, 1977, DEEP-SEA RES, V24, P127, DOI 10.1016/0146-6291(77)90548-3
Straganz GD, 2006, CHEMBIOCHEM, V7, P1536, DOI 10.1002/cbic.200600152
Whitteck JT, 2011, J AM CHEM SOC, V133, P4236, DOI 10.1021/ja1113326
NR 20
TC 39
Z9 43
PD DEC 8
PY 2017
VL 358
IS 6368
BP 1336
EP 1338
DI 10.1126/science.aao3435
UT WOS:000417254700066
DA 2025-07-30
ER
PT J
AU Lidbury, I
Murrell, JC
Chen, Y
AF Lidbury, Ian
Murrell, J. Colin
Chen, Yin
TI Trimethylamine N-oxide metabolism by abundant marine
heterotrophic bacteria
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Trimethylamine N-oxide (TMAO) is a common osmolyte found in a variety of marine biota and has been detected at nanomolar concentrations in oceanic surface waters. TMAO can serve as an important nutrient for ecologically important marine heterotrophic bacteria, particularly the SAR11 clade and marine Roseobacter clade (MRC). However, the enzymes responsible for TMAO catabolism and the membrane transporter required for TMAO uptake into microbial cells have yet to be identified. We show here that the enzyme TMAO demethylase (Tdm) catalyzes the first step in TMAO degradation. This enzyme represents a large group of proteins with an uncharacterized domain (DUF1989). The function of TMAO demethylase in a representative from the SAR11 clade (strain HIMB59) and in a representative of the MRC (Ruegeria pomeroyi DSS-3) was confirmed by heterologous expression of tdm (the gene encoding Tdm) in Escherichia coli. In R. pomeroyi, mutagenesis experiments confirmed that tdm is essential for growth on TMAO. We also identified a unique ATP-binding cassette transporter (TmoXWV) found in a variety of marine bacteria and experimentally confirmed its specificity for TMAO through marker exchange mutagenesis and lacZ reporter assays of the promoter for genes encoding this transporter. Both Tdm and TmoXWV are particularly abundant in natural seawater assemblages and actively expressed, as indicated by a number of recent metatranscriptomic and metaproteomic studies. These data suggest that TMAO represents a significant, yet overlooked, nutrient for marine bacteria.
C1 [Lidbury, Ian; Chen, Yin] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
[Murrell, J. Colin] Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England.
RP Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
EM y.chen.25@warwick.ac.uk
CR Albers SV, 1999, J BACTERIOL, V181, P4285, DOI 10.1128/JB.181.14.4285-4291.1999
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
ARATA H, 1992, J BIOCHEM-TOKYO, V112, P470, DOI 10.1093/oxfordjournals.jbchem.a123923
Ballantyne JS, 1997, COMP BIOCHEM PHYS B, V118, P703, DOI 10.1016/S0305-0491(97)00272-1
Berntsson RPA, 2010, FEBS LETT, V584, P2606, DOI 10.1016/j.febslet.2010.04.043
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Carpenter LJ, 2012, CHEM SOC REV, V41, P6473, DOI 10.1039/c2cs35121h
Chen CL, 2010, MOL MICROBIOL, V75, P29, DOI 10.1111/j.1365-2958.2009.06962.x
Chen Y, 2012, ENVIRON MICROBIOL, V14, P2308, DOI 10.1111/j.1462-2920.2012.02765.x
Chen Y, 2011, P NATL ACAD SCI USA, V108, P17791, DOI 10.1073/pnas.1112928108
Christie-Oleza JA, 2012, ISME J, V6, P124, DOI 10.1038/ismej.2011.86
Crombie A, 2011, METHOD ENZYMOL, P119, DOI 10.1016/B978-0-12-386905-0.00008-5
Cunliffe M, 2013, APPL ENVIRON MICROB, V79, P738, DOI 10.1128/AEM.02466-12
Davidson AL, 2004, ANNU REV BIOCHEM, V73, P241, DOI 10.1146/annurev.biochem.73.011303.073626
Gibb SW, 2004, MAR CHEM, V91, P65, DOI 10.1016/j.marchem.2004.04.005
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gon S, 2001, J BIOL CHEM, V276, P11545, DOI 10.1074/jbc.M008875200
Gon S, 2002, J BACTERIOL, V184, P1262, DOI 10.1128/JB.184.5.1262-1269.2002
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
KING GM, 1984, APPL ENVIRON MICROB, V48, P719, DOI 10.1128/AEM.48.4.719-725.1984
Kirkwood M, 2010, MICROBIOL-SGM, V156, P1900, DOI 10.1099/mic.0.038927-0
KOVACH ME, 1995, GENE, V166, P175, DOI 10.1016/0378-1119(95)00584-1
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
MAY G, 1986, MOL GEN GENET, V205, P225, DOI 10.1007/BF00430432
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
QUINN PK, 1988, NATURE, V335, P336, DOI 10.1038/335336a0
Raymond JA, 2002, COMP BIOCHEM PHYS B, V133, P29, DOI 10.1016/S1096-4959(02)00097-0
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Sebastian M, 2011, ENV MICROBIOL REP, V3, P535, DOI 10.1111/j.1758-2229.2011.00253.x
Seibel BA, 2002, J EXP BIOL, V205, P297
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Thomas GH, 2010, MOL MICROBIOL, V75, P6, DOI 10.1111/j.1365-2958.2009.06961.x
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Treberg JR, 2006, J EXP BIOL, V209, P860, DOI 10.1242/jeb.02055
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Wagner-Döbler I, 2010, ISME J, V4, P61, DOI 10.1038/ismej.2009.94
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
YANCEY PH, 1982, SCIENCE, V217, P1214, DOI 10.1126/science.7112124
Young J, 1999, BBA-BIOMEMBRANES, V1461, P177, DOI 10.1016/S0005-2736(99)00158-3
NR 53
TC 132
Z9 155
PD FEB 18
PY 2014
VL 111
IS 7
BP 2710
EP 2715
DI 10.1073/pnas.1317834111
UT WOS:000331396500064
DA 2025-07-30
ER
PT J
AU Howard, EC
Sun, SL
Reisch, CR
del Valle, DA
Bürgmann, H
Kiene, RP
Moran, MA
AF Howard, Erinn C.
Sun, Shulei
Reisch, Christopher R.
del Valle, Daniela A.
Buergmann, Helmut
Kiene, Ronald P.
Moran, Mary Ann
TI Changes in Dimethylsulfoniopropionate Demethylase Gene Assemblages in
Response to an Induced Phytoplankton Bloom
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Over half of the bacterioplankton cells in ocean surface waters are capable of carrying out a demethylation of the phytoplankton metabolite dimethylsulfoniopropionate (DMSP) that routes the sulfur moiety away from the climatically active gas dimethylsulfide (DMS). In this study, we tracked changes in dmdA, the gene responsible for DMSP demethylation, over the course of an induced phytoplankton bloom in Gulf of Mexico seawater microcosms. Analysis of >91,000 amplicon sequences indicated 578 different dmdA sequence clusters at a conservative clustering criterion of >= 90% nucleotide sequence identity over the 6-day study. The representation of the major clades of dmdA, several of which are linked to specific taxa through genomes of cultured marine bacterioplankton, remained fairly constant. However, the representation of clusters within these major clades shifted significantly in response to the bloom, including two Roseobacter-like clusters and a SAR11-like cluster, and the best correlate with shifts of the dominant dmdA clades was chlorophyll a concentration. Concurrent 16S rRNA amplification and sequencing indicated the presence of Roseobacter, SAR11, OM60, and marine Rhodospirillales populations, all of which are known to harbor dmdA genes, although the largest taxonomic change was an increase in Flavobacteriaceae, a group not yet demonstrated to have DMSP-demethylating capabilities. Sequence heterogeneity in dmdA and other functional gene populations is becoming increasingly evident with the advent of high-throughput sequencing technologies, and understanding the ecological implications of this heterogeneity is a major challenge for marine microbial ecology.
C1 [Howard, Erinn C.; Sun, Shulei; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Reisch, Christopher R.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[del Valle, Daniela A.; Kiene, Ronald P.] Univ S Alabama, Dept Marine Sci, Mobile, AL 36688 USA.
[Buergmann, Helmut] Eawag, Swiss Fed Inst Aquat Sci & Technol, Dept Surface Waters Res & Management, CH-6047 Kastanienbaum, Switzerland.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR ANDREAE MO, 1983, SCIENCE, V221, P744, DOI 10.1126/science.221.4612.744
ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Cole JR, 2007, NUCLEIC ACIDS RES, V35, pD169, DOI 10.1093/nar/gkl889
Curran MAJ, 1998, J GEOPHYS RES-ATMOS, V103, P16677, DOI 10.1029/97JD03453
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Kiene RP, 2006, LIMNOL OCEANOGR-METH, V4, P80, DOI 10.4319/lom.2006.4.80
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 1996, MAR CHEM, V54, P69, DOI 10.1016/0304-4203(96)00006-0
Kiene RP, 1998, AQUAT MICROB ECOL, V15, P39, DOI 10.3354/ame015039
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Malin G, 1997, J PHYCOL, V33, P889, DOI 10.1111/j.0022-3646.1997.00889.x
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Slezak D, 2007, AQUAT SCI, V69, P377, DOI 10.1007/s00027-007-0896-z
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
TURNER SM, 1988, LIMNOL OCEANOGR, V33, P364, DOI 10.4319/lo.1988.33.3.0364
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Vila-Costa M, 2010, ISME J, V4, P1410, DOI 10.1038/ismej.2010.62
Wolfe GV, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P277
Yutin N, 2005, APPL ENVIRON MICROB, V71, P8958, DOI 10.1128/AEM.71.12.8958-8962.2005
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 39
TC 40
Z9 43
PD JAN
PY 2011
VL 77
IS 2
BP 524
EP 531
DI 10.1128/AEM.01457-10
UT WOS:000286147300017
DA 2025-07-30
ER
PT J
AU Ardell, DH
AF Ardell, David H.
TI Computational analysis of tRNA identity
SO FEBS LETTERS
DT Review
AB I review recent developments in computational analysis of tRNA identity. I suggest that the tRNA-protein interaction network is hierarchically organized, and coevolutionarily flexible. Its functional specificity of recognition and discrimination persists despite generic structural constraints and perturbative evolutionary forces. This flexibility comes from its arbitrary nature as a self-recognizing shape code. A revisualization of predicted Proteobacterial tRNA identity highlights open research problems. tRNA identity elements and their coevolution with proteins must be mapped structurally over the Tree of Life. These traits can also resolve deep roots in the Tree. I show that histidylation identity elements phylogenetically reposition Pelagibacter ubique within alpha-Proteobacteria. (C) 2009 Published by Elsevier B. V. on behalf of the Federation of European Biochemical Societies.
C1 [Ardell, David H.] Univ Calif, Sch Nat Sci, Merced, CA 95343 USA.
[Ardell, David H.] Univ Calif, UC Merced Ctr Computat Biol, Merced, CA 95343 USA.
RP Ardell, DH (corresponding author), Univ Calif, Sch Nat Sci, Merced, CA 95343 USA.
EM dardell@ucmerced.edu
CR Abe T, 2009, NUCLEIC ACIDS RES, V37, pD163, DOI 10.1093/nar/gkn692
Ardell DH, 2006, NUCLEIC ACIDS RES, V34, P893, DOI 10.1093/nar/gkj449
ATILGAN T, 1986, NUCLEIC ACIDS RES, V14, P375, DOI 10.1093/nar/14.1.375
Beebe K, 2008, NATURE, V451, P90, DOI 10.1038/nature06454
BERGMAN CM, 2005, TRNA ANNOTATION GENU
Björk GR, 1999, FEBS LETT, V452, P47, DOI 10.1016/S0014-5793(99)00528-1
Buchan JR, 2006, NUCLEIC ACIDS RES, V34, P1015, DOI 10.1093/nar/gkj488
Chang KY, 1999, P NATL ACAD SCI USA, V96, P11764, DOI 10.1073/pnas.96.21.11764
Clark AG, 2007, NATURE, V450, P203, DOI 10.1038/nature06341
Cognat V, 2008, GENETICS, V179, P113, DOI 10.1534/genetics.107.085688
Czerwoniec A, 2009, NUCLEIC ACIDS RES, V37, pD118, DOI 10.1093/nar/gkn710
DIAZLAZCOZ Y, 1995, J MOL BIOL, V250, P123, DOI 10.1006/jmbi.1995.0363
EDDY SR, 1994, NUCLEIC ACIDS RES, V22, P2079, DOI 10.1093/nar/22.11.2079
Fender A, 2004, BIOCHIMIE, V86, P21, DOI 10.1016/j.biochi.2003.11.011
Feng Liang, 2004, RNA Biol, V1, P16
Fitzpatrick DA, 2006, MOL BIOL EVOL, V23, P74, DOI 10.1093/molbev/msj009
Francklyn C, 2002, RNA, V8, P1363, DOI 10.1017/S1355838202021180
Freyhult E, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-241
Freyhult E, 2006, NUCLEIC ACIDS RES, V34, P905, DOI 10.1093/nar/gkj478
Freyhult E, 2007, BIOCHIMIE, V89, P1276, DOI 10.1016/j.biochi.2007.07.013
Freyhult EK, 2007, GENOME RES, V17, P117, DOI 10.1101/gr.5890907
Galtier N, 1997, J MOL EVOL, V44, P632, DOI 10.1007/PL00006186
Gardner PP, 2009, NUCLEIC ACIDS RES, V37, pD136, DOI 10.1093/nar/gkn766
Giegé R, 2008, NAT STRUCT MOL BIOL, V15, P1007, DOI 10.1038/nsmb.1498
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grosjean H, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-470
Gustilo EM, 2008, CURR OPIN MICROBIOL, V11, P134, DOI 10.1016/j.mib.2008.02.003
Hendrickson TL, 2007, NAT STRUCT MOL BIOL, V14, P100, DOI 10.1038/nsmb0207-100
Hofacker IL., 2003, CURR PROTOC BIOINFOR, V4, p12.2.1, DOI [10.1002/0471250953.bi1202s04, DOI 10.1002/0471250953.BI1202S04]
Jakó E, 2007, NUCLEIC ACIDS RES, V35, P5593, DOI 10.1093/nar/gkm598
Jühling F, 2009, NUCLEIC ACIDS RES, V37, pD159, DOI 10.1093/nar/gkn772
JUKES TH, 1973, BIOCHEM BIOPH RES CO, V53, P709, DOI 10.1016/0006-291X(73)90151-4
Kinouchi M, 2006, J COMPUT AIDED CHEM, V7, P116, DOI 10.2751/jcac.7.116
Laslett D, 2004, NUCLEIC ACIDS RES, V32, P11, DOI 10.1093/nar/gkh152
Ling JQ, 2007, P NATL ACAD SCI USA, V104, P15299, DOI 10.1073/pnas.0704441104
Ling JQ, 2009, ANNU REV MICROBIOL, V63, P61, DOI 10.1146/annurev.micro.091208.073210
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Marck C, 2002, RNA, V8, P1189, DOI 10.1017/S1355838202022021
Martin F, 2004, NUCLEIC ACIDS RES, V32, P4081, DOI 10.1093/nar/gkh751
McClain WH, 1998, P NATL ACAD SCI USA, V95, P460, DOI 10.1073/pnas.95.2.460
MCCLAIN WH, 1993, J MOL BIOL, V234, P257, DOI 10.1006/jmbi.1993.1582
McClain WH, 2006, P NATL ACAD SCI USA, V103, P4570, DOI 10.1073/pnas.0600592103
Meyer IM, 2007, BRIEF BIOINFORM, V8, P396, DOI 10.1093/bib/bbm011
Mörl M, 2001, EMBO REP, V2, P17, DOI 10.1093/embo-reports/kve006
MURAMATSU T, 1988, NATURE, V336, P179, DOI 10.1038/336179a0
Nawrocki EP, 2009, BIOINFORMATICS, V25, P1335, DOI 10.1093/bioinformatics/btp157
NICHOLAS HB, 1987, COMPUT APPL BIOSCI, V3, P177
Nozawa K, 2009, NATURE, V457, P1163, DOI 10.1038/nature07611
Olejniczak M, 2006, BIOCHIMIE, V88, P943, DOI 10.1016/j.biochi.2006.06.005
Rosen AE, 2006, RNA, V12, P1315, DOI 10.1261/rna.78606
Saks ME, 2007, RNA, V13, P651, DOI 10.1261/rna.345907
Salinas T, 2008, TRENDS BIOCHEM SCI, V33, P320, DOI 10.1016/j.tibs.2008.04.010
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Sethi A, 2009, P NATL ACAD SCI USA, V106, P6620, DOI 10.1073/pnas.0810961106
Shi HJ, 2000, RNA, V6, P1091, DOI 10.1017/S1355838200000364
Shiba K, 1997, TRENDS BIOCHEM SCI, V22, P453, DOI 10.1016/S0968-0004(97)01135-3
Silva FJ, 2006, NUCLEIC ACIDS RES, V34, P6015, DOI 10.1093/nar/gkl739
Sugahara J, 2008, MOL BIOL EVOL, V25, P2709, DOI 10.1093/molbev/msn216
Sugahara Junichi, 2006, In Silico Biology, V6, P411
Tamames J, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-181
Tåquist H, 2007, NUCLEIC ACIDS RES, V35, pW350, DOI 10.1093/nar/gkm393
Trifonov EN, 2000, GENE, V261, P139, DOI 10.1016/S0378-1119(00)00476-5
van Nimwegen E, 1999, P NATL ACAD SCI USA, V96, P9716, DOI 10.1073/pnas.96.17.9716
Villet R, 2007, NUCLEIC ACIDS RES, V35, P6870, DOI 10.1093/nar/gkm778
Wang CX, 2007, J BACTERIOL, V189, P1954, DOI 10.1128/JB.01203-06
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
Woese CR, 2000, MICROBIOL MOL BIOL R, V64, P202, DOI 10.1128/MMBR.64.1.202-236.2000
WOLFSON AD, 2001, TRNA CONFORMITY RIBO, P185
Xue H, 2003, GENE, V310, P59, DOI 10.1016/S0378-1119(03)00552-3
NR 69
TC 23
Z9 31
PD JAN 21
PY 2010
VL 584
IS 2
BP 325
EP 333
DI 10.1016/j.febslet.2009.11.084
UT WOS:000273209600011
DA 2025-07-30
ER
PT J
AU Tada, Y
Taniguchi, A
Sato-Takabe, Y
Hamasaki, K
AF Tada, Yuya
Taniguchi, Akito
Sato-Takabe, Yuki
Hamasaki, Koji
TI Growth and succession patterns of major phylogenetic groups of marine
bacteria during a mesocosm diatom bloom
SO JOURNAL OF OCEANOGRAPHY
DT Article
AB Our objective was to track microbial processes associated with serial degradation of organic matter derived from algal blooms. To do this, we analyzed population fluctuations and growth responses of major phylogenetic groups of free-living marine bacteria. We used bromodeoxyuridine immunocytochemistry-fluorescence in situ hybridization methodology to examine marine bacterial community development during and after a diatom bloom in a mesocosm. We revealed that the Roseobacter/Rhodobacter, SAR11, Alteromonas, and Bacteroidetes groups were clearly major phylotypes responsible for most free-living bacterial biomass and production throughout the experiment. The clearest bacterial response was a proliferation of the Alteromonas group (cells with large volumes) during development of the bloom (up to 30 % of actively growing cells). Populations of these bacteria declined sharply thereafter, likely due to grazing. Alteromonas group responses suggest that these bacteria strongly influenced the flux of organic matter at an early bloom stage. The growth potential of Bacteroidetes was relatively large as the bloom peaked; this early development probably contributed to the initial stage of bloom decomposition. In contrast, the contribution of Roseobacter/Rhodobacter to total bacterial production increased at a late stage of decomposing of the bloom. The contributions of Betaproteobacteria, SAR11, and SAR86 groups to total bacterial abundance and production were relatively minor throughout the experiment. These results imply that the ability to utilize organic matter derived from diatoms varies among bacterial phylotypes, and, frequently, less abundant but ecological specialist taxa such as Alteromonas may play major roles in the flux of organic matter during diatom blooms.
C1 [Tada, Yuya; Hamasaki, Koji] Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba 2778564, Japan.
[Taniguchi, Akito] Kinki Univ, Grad Sch Agr, Naka 6318505, Japan.
[Sato-Takabe, Yuki] Hokkaido Univ, Grad Sch Environm Sci, Kita Ku, Sapporo, Hokkaido 0600810, Japan.
RP Hamasaki, K (corresponding author), Univ Tokyo, Atmosphere & Ocean Res Inst, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778564, Japan.
EM hamasaki@aori.u-tokyo.ac.jp
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
ALLDREDGE AL, 1993, DEEP-SEA RES PT I, V40, P1131, DOI 10.1016/0967-0637(93)90129-Q
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
delGiorgio PA, 1996, LIMNOL OCEANOGR, V41, P1169, DOI 10.4319/lo.1996.41.6.1169
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Giuliano L, 1999, MICROBIAL ECOL, V37, P77
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Hamasaki K, 2006, J OCEANOGR, V62, P793, DOI 10.1007/s10872-006-0098-7
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
MAGUE TH, 1980, LIMNOL OCEANOGR, V25, P262, DOI 10.4319/lo.1980.25.2.0262
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
MARR D, 1980, PROC R SOC SER B-BIO, V207, P187, DOI 10.1098/rspb.1980.0020
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Middelboe M, 1996, APPL ENVIRON MICROB, V62, P1991, DOI 10.1128/AEM.62.6.1991-1997.1996
MONGER BC, 1991, MAR ECOL PROG SER, V74, P239, DOI 10.3354/meps074239
Ogawa H, 1999, DEEP-SEA RES PT I, V46, P1809, DOI 10.1016/S0967-0637(99)00027-8
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pukall R, 1999, FEMS MICROBIOL ECOL, V28, P335, DOI 10.1016/S0168-6496(98)00117-2
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schäfer H, 2000, ARCH MICROBIOL, V173, P138, DOI 10.1007/s002039900121
SIERACKI ME, 1989, CYTOMETRY, V10, P551, DOI 10.1002/cyto.990100510
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
SMITH DC, 1995, DEEP-SEA RES PT II, V42, P75, DOI 10.1016/0967-0645(95)00005-B
Steward GF, 1999, AQUAT MICROB ECOL, V19, P57, DOI 10.3354/ame019057
SUZUKI R, 1990, Journal of the Oceanographical Society of Japan, V46, P190, DOI 10.1007/BF02125580
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Tada Y, 2010, AQUAT MICROB ECOL, V59, P229, DOI 10.3354/ame01412
Tada Y, 2009, MICROBES ENVIRON, V24, P315, DOI 10.1264/jsme2.ME09162
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 40
TC 25
Z9 28
PD AUG
PY 2012
VL 68
IS 4
BP 509
EP 519
DI 10.1007/s10872-012-0114-z
UT WOS:000307295700003
DA 2025-07-30
ER
PT J
AU Mannen, K
Nagata, T
Rozenberg, A
Konno, M
Marín, MD
Bagherzadeh, R
Béjà, O
Uchihashi, T
Inoue, K
AF Mannen, Kentaro
Nagata, Takashi
Rozenberg, Andrey
Konno, Masae
Marin, Maria del Carmen
Bagherzadeh, Reza
Beja, Oded
Uchihashi, Takayuki
Inoue, Keiichi
TI Multiple Roles of a Conserved Glutamate Residue for Unique Biophysical
Properties in a New Group of Microbial Rhodopsins Homologous to TAT
Rhodopsin
SO JOURNAL OF MOLECULAR BIOLOGY
DT Article
AB TAT rhodopsin, a microbial rhodopsin found in the marine SAR11 bacterium HIMB114, uniquely possesses a Thr-Ala-Thr (TAT) motif in the third transmembrane helix. Because of a low pKa value of the retinal Schiff base (RSB), TAT rhodopsin exhibits both a visible light -absorbing state with the protonated RSB and a UV -absorbing state with the deprotonated RSB at a neutral pH. The UV -absorbing state, in contrast to the visible light -absorbing one, converts to a long-lived photointermediate upon light absorption, implying that TAT rhodopsin functions as a pH -dependent light sensor. Despite detailed biophysical characterization and mechanistic studies on the TAT rhodopsin, it has been unknown whether other proteins with similarly unusual features exist. Here, we identified several new rhodopsin genes homologous to the TAT rhodopsin of HIMB114 (TATHIMB) from metagenomic data. Based on the absorption spectra of expressed proteins from these genes with visible and UV peaks similar to that of TATHIMB, they were classified as Twin -peaked Rhodopsin (TwR) family. TwR genes form a gene cluster with a set of 13 ORFs conserved in subclade IIIa of SAR11 bacteria. A glutamic acid in the second transmembrane helix, Glu54, is conserved in all of the TwRs. We investigated E54Q mutants of two TwRs and revealed that Glu54 plays critical roles in regulating the RSB pKa, oligomer formation, and the efficient photoreaction of the UV -absorbing state. The discovery of novel TwRs enables us to study the universality and individuality of the characteristics revealed so far in the original TATHIMB and contributes to further studies on mechanisms of unique properties of TwRs. (c) 2023 Elsevier Ltd. All rights reserved.
C1 [Mannen, Kentaro; Nagata, Takashi; Konno, Masae; Inoue, Keiichi] Univ Tokyo, Inst Solid State Phys, Room A401,5-1-5 Kashiwanoha, Kashiwa, Chiba 2778581, Japan.
[Rozenberg, Andrey] Technion Israel Inst Technol, Fac Biol, IL-3200003 Haifa, Israel.
[Uchihashi, Takayuki] Nagoya Univ, Dept Phys, Nagoya 4648602, Japan.
[Uchihashi, Takayuki] Natl Inst Nat Sci, Exploratory Res Ctr Life & Living Syst, Okazaki, Aichi 4448787, Japan.
[Uchihashi, Takayuki] Nagoya Univ, Inst Glycocore Res, Nagoya 4648602, Japan.
[Marin, Maria del Carmen] Israel Inst Technol, IL-3200003 Haifa, Israel.
[Bagherzadeh, Reza] RIKEN Ctr Integrat Med Sci, Yokohama, Kanagawa 2300045, Japan.
RP Inoue, K (corresponding author), Univ Tokyo, Inst Solid State Phys, Room A401,5-1-5 Kashiwanoha, Kashiwa, Chiba 2778581, Japan.
EM inoue@issp.u-tokyo.ac.jp
CR Bouckaert R, 2019, PLOS COMPUT BIOL, V15, DOI 10.1371/journal.pcbi.1006650
Bouckaert RR, 2017, BMC EVOL BIOL, V17, DOI 10.1186/s12862-017-0890-6
Buchfink B, 2021, NAT METHODS, V18, P366, DOI 10.1038/s41592-021-01101-x
Calvignac-Spencer S., 2014, PLoS Curr., V6
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Chang CF, 2022, ANGEW CHEM INT EDIT, V61, DOI 10.1002/anie.202111930
Chaptal V, 2017, SCI REP-UK, V7, DOI 10.1038/srep41751
DRUCKMANN S, 1982, BIOCHEMISTRY-US, V21, P4953, DOI 10.1021/bi00263a019
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Ernst OP, 2014, CHEM REV, V114, P126, DOI 10.1021/cr4003769
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Gushchin I, 2015, NAT STRUCT MOL BIOL, V22, P390, DOI 10.1038/nsmb.3002
Hanson-Smith V, 2010, MOL BIOL EVOL, V27, P1988, DOI 10.1093/molbev/msq081
Hille R, 2005, ARCH BIOCHEM BIOPHYS, V433, P107, DOI 10.1016/j.abb.2004.08.012
Hirschi S, 2020, J STRUCT BIOL-X, V4, DOI 10.1016/j.yjsbx.2020.100024
Huddleston JP, 2019, BIOCHEMISTRY-US, V58, P3340, DOI 10.1021/acs.biochem.9b00326
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ikuta T, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19376-7
Inoue K, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz2441
Inoue K, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms2689
Kataoka C, 2021, BIOCHEMISTRY-US, V60, P899, DOI 10.1021/acs.biochem.0c00951
Kataoka C, 2019, J PHYS CHEM LETT, V10, P5117, DOI 10.1021/acs.jpclett.9b01957
Kato HE, 2012, NATURE, V482, P369, DOI 10.1038/nature10870
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Kawasaki Y, 2021, CHEM PHYS LETT, V779, DOI 10.1016/j.cplett.2021.138868
Kozlov AM, 2019, BIOINFORMATICS, V35, P4453, DOI 10.1093/bioinformatics/btz305
Lanclos VC, 2023, ISME J, V17, P620, DOI 10.1038/s41396-023-01376-2
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Maciejko J, 2015, J AM CHEM SOC, V137, P9032, DOI 10.1021/jacs.5b03606
Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
Nagata T, 2021, J CELL SCI, V134, DOI 10.1242/jcs.258989
Nishimura Y, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01392-5
Parks DH, 2022, NUCLEIC ACIDS RES, V50, pD785, DOI 10.1093/nar/gkab776
Philosof A, 2017, CURR BIOL, V27, P1362, DOI 10.1016/j.cub.2017.03.052
Philosof A, 2013, ENV MICROBIOL REP, V5, P475, DOI 10.1111/1758-2229.12037
Poysti NJ, 2007, MICROBIOL-SGM, V153, P727, DOI 10.1099/mic.0.29148-0
Rozenberg A, 2021, ANNU REV MICROBIOL, V75, P427, DOI 10.1146/annurev-micro-031721-020452
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Shibata M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26606-y
Sineshchekov OA, 2008, P NATL ACAD SCI USA, V105, P16159, DOI 10.1073/pnas.0807486105
Sugimoto T, 2022, J PHYS CHEM B, V126, P2203, DOI 10.1021/acs.jpcb.2c00233
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tahara S, 2018, J PHYS CHEM B, V122, P4784, DOI 10.1021/acs.jpcb.8b01934
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Uchihashi T, 2012, NAT PROTOC, V7, P1193, DOI 10.1038/nprot.2012.047
Xia XH, 2018, MOL BIOL EVOL, V35, P1550, DOI 10.1093/molbev/msy073
Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
NR 48
TC 6
Z9 6
PD MAR 1
PY 2024
VL 436
IS 5
AR 168331
DI 10.1016/j.jmb.2023.168331
EA MAR 2024
UT WOS:001258400700001
DA 2025-07-30
ER
PT J
AU Ma, YF
Allen, LZ
Palenik, B
AF Ma, Yingfei
Allen, Lisa Zeigler
Palenik, Brian
TI Diversity and genome dynamics of marine cyanophages using metagenomic
analyses
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Cyanophages are abundant in the oceanic environment and directly impact cyanobacterial distributions, physiological processes and evolution. Two samples collected from coastal Maine in July and September 2009 were enriched for Synechococcus cells using flow cytometry and examined through metagenomic sequencing. Homology-based sequence prediction indicated cyanophages, largely myoviruses, accounted for almost half the reads and provided insights into environmental infection events. T4-phage core-gene phylogenetic reconstruction revealed unique diversity among uncultured cyanophages and reference isolates resulting in identification of a new phylogenetic cluster. Genomic comparison of reference cyanophage strains S-SM2 and Syn1 with putative homologous contigs recovered from metagenomes provided evidence that gene insertion, deletion and recombination have occurred among, and are likely important for diversification of, natural populations. Identification of putative genetic exchange between cyanophage and non-cyanophage viruses, i.e. Micromonas virus and Pelagibacter phage, supports hypotheses related to a significant role for viruses in mediating transfer of genetic material between taxonomically diverse organisms with overlapping ecological niches.
C1 [Ma, Yingfei; Palenik, Brian] Univ Calif San Diego, Scripps Inst Oceanog, Div Marine Biol Res, La Jolla, CA 92093 USA.
[Allen, Lisa Zeigler] J Craig Venter Inst, Microbial & Environm Genom Dept, San Diego, CA USA.
RP Palenik, B (corresponding author), Univ Calif San Diego, Scripps Inst Oceanog, Div Marine Biol Res, La Jolla, CA 92093 USA.
EM bpalenik@ucsd.edu
CR Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Borodovsky Mark, 2003, Curr Protoc Bioinformatics, VChapter 4, DOI 10.1002/0471250953.bi0405s01
Breitbart M, 2007, OCEANOGRAPHY, V20, P135, DOI 10.5670/oceanog.2007.58
Brum JR, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0060604
Chen F, 2002, APPL ENVIRON MICROB, V68, P2589, DOI 10.1128/AEM.68.5.2589-2594.2002
Chénard C, 2008, APPL ENVIRON MICROB, V74, P5317, DOI 10.1128/AEM.02480-07
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Comeau AM, 2010, MOL BIOL EVOL, V27, P1935, DOI 10.1093/molbev/msq076
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dorigo U, 2004, APPL ENVIRON MICROB, V70, P1017, DOI 10.1128/AEM.70.2.1017-1022.2004
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Filée J, 2005, P NATL ACAD SCI USA, V102, P12471, DOI 10.1073/pnas.0503404102
Fuller NJ, 1998, APPL ENVIRON MICROB, V64, P2051
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Huang SJ, 2012, ENVIRON MICROBIOL, V14, P540, DOI 10.1111/j.1462-2920.2011.02667.x
Huang SJ, 2010, ISME J, V4, P1243, DOI 10.1038/ismej.2010.56
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Ignacio-Espinoza JC, 2013, CURR OPIN VIROL, V3, P566, DOI 10.1016/j.coviro.2013.07.004
Ignacio-Espinoza JC, 2012, ENVIRON MICROBIOL, V14, P2113, DOI 10.1111/j.1462-2920.2012.02704.x
Jing HM, 2009, CAN J MICROBIOL, V55, P311, DOI [10.1139/W08-138, 10.1139/w08-138]
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
KUZIO J, 1983, J BACTERIOL, V155, P203, DOI 10.1128/JB.155.1.203-212.1983
Labonté JM, 2009, APPL ENVIRON MICROB, V75, P3634, DOI 10.1128/AEM.02317-08
Labrie SJ, 2013, ENVIRON MICROBIOL, V15, P1356, DOI 10.1111/1462-2920.12053
Lindell D, 2005, NATURE, V438, P86, DOI 10.1038/nature04111
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Lindell D, 2007, NATURE, V449, P83, DOI 10.1038/nature06130
Los M, 2003, RES MICROBIOL, V154, P547, DOI 10.1016/S0923-2508(03)00151-7
Ma YF, 2012, ENVIRON MICROBIOL, V14, P453, DOI 10.1111/j.1462-2920.2011.02633.x
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
Mann NH, 2003, FEMS MICROBIOL REV, V27, P17, DOI 10.1016/S0168-6445(03)00016-0
Marston MF, 2013, ENVIRON MICROBIOL, V15, P1452, DOI 10.1111/1462-2920.12062
McDaniel L, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003263
Millard AD, 2009, ENVIRON MICROBIOL, V11, P2370, DOI 10.1111/j.1462-2920.2009.01966.x
Moebus K, 1996, MAR ECOL PROG SER, V144, P1, DOI 10.3354/meps144001
Mühling M, 2005, ENVIRON MICROBIOL, V7, P499, DOI 10.1111/j.1462-2920.2005.00713.x
Palenik B, 2009, ENVIRON MICROBIOL, V11, P349, DOI 10.1111/j.1462-2920.2008.01772.x
Pope WH, 2007, J MOL BIOL, V368, P966, DOI 10.1016/j.jmb.2007.02.046
Richardson TL, 2007, SCIENCE, V315, P838, DOI 10.1126/science.1133471
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2012, P NATL ACAD SCI USA, V109, P2037, DOI 10.1073/pnas.1115467109
SAMIMI B, 1978, J VIROL, V25, P164, DOI 10.1128/JVI.25.1.164-174.1978
Sullivan MB, 2008, ENVIRON MICROBIOL, V10, P2810, DOI 10.1111/j.1462-2920.2008.01702.x
Sullivan MB, 2006, PLOS BIOL, V4, P1344, DOI 10.1371/journal.pbio.0040234
Sullivan MB, 2010, ENVIRON MICROBIOL, V12, P3035, DOI 10.1111/j.1462-2920.2010.02280.x
Sullivan MB, 2009, ENVIRON MICROBIOL, V11, P2935, DOI 10.1111/j.1462-2920.2009.02081.x
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Suyama M, 2006, NUCLEIC ACIDS RES, V34, pW609, DOI 10.1093/nar/gkl315
Tai V, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024249
Tai V, 2009, ISME J, V3, P903, DOI 10.1038/ismej.2009.35
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Thingstad TF, 2008, AQUATIC PHAGE ECOLOG
Thompson JD., 2003, Curr Protoc Bioinform, V2, P2, DOI DOI 10.1002/0471250953.BI0203S00
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Weigele PR, 2007, ENVIRON MICROBIOL, V9, P1675, DOI 10.1111/j.1462-2920.2007.01285.x
Whitton BA., 2006, ECOL CYANOBACTERIA, V5, P1, DOI [10.1007/0-306-46855-7_1, DOI 10.1007/0-306-46855-7_1]
Wilhelm SW, 2006, APPL ENVIRON MICROB, V72, P4957, DOI 10.1128/AEM.00349-06
Williamson SJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001456
Williamson SJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042047
Xu XD, 1997, J BACTERIOL, V179, P2884, DOI 10.1128/jb.179.9.2884-2891.1997
Yang ZH, 2000, TRENDS ECOL EVOL, V15, P496, DOI 10.1016/S0169-5347(00)01994-7
Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zeidner G, 2005, ENVIRON MICROBIOL, V7, P1505, DOI 10.1111/j.1462-2920.2005.00833.x
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhong Y, 2002, APPL ENVIRON MICROB, V68, P1576, DOI 10.1128/AEM.68.4.1576-1584.2002
NR 68
TC 16
Z9 19
PD DEC
PY 2014
VL 6
IS 6
BP 583
EP 594
DI 10.1111/1758-2229.12160
UT WOS:000345702700006
DA 2025-07-30
ER
PT J
AU De Corte, D
Sintes, E
Yokokawa, T
Herndl, GJ
AF De Corte, Daniele
Sintes, Eva
Yokokawa, Taichi
Herndl, Gerhard J.
TI Comparison between MICRO-CARD-FISH and 16S rRNA gene clone libraries to
assess the active versus total bacterial community in the coastal Arctic
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB We collected surface- and deep-water samples (maximum depth 300m) during the springsummer transition in the coastal Arctic along a transect in the Kongsfjorden (Ny-angstrom lesund, Spitsbergen, Norway) to determine the structure of the active versus total marine bacterioplankton community using different approaches. Catalysed reporter depositionfluorescence in situ hybridization combined with microautoradiography (MICROCARDFISH) was used to determine the abundance and activity of different bacterial groups. The bacterial communities were dominated by members of Alphaproteobacteria followed by Bacteroidetes, whereas Gammaproteobacteria were present at low abundance but exhibited a high percentage of active cells taking up leucine. The clone libraries of 16S rRNA genes (16S rDNA) and 16S rRNA from two different depths were used to decipher the bacterial community structure. Independently of the type of clone libraries analysed (16S rDNA- or 16S rRNA-based), four major and four minor taxonomic groups were detected. The bacterioplankton community was mainly dominated at both the DNA and the RNA levels by Alphaproteobacteria followed by Gammaproteobacteria. The Rhodobacteriaceae were the most abundant members of the Alphaproteobacteria in both DNA and RNA clone libraries, followed by the SAR11 clade, which was only detectable at the 16S rDNA level. Moreover, there was a general agreement between the results obtained with both techniques, although some specific phylogenetic groups, such as SAR11 and Roseobacter, deviated substantially from this relation. These discrepancies are most likely linked to different physiological states among members of the bacterioplankton community. Combined, MICROCARDFISH and DNA and RNA clone libraries, however, allowed for accurately quantifying different bacterial groups and their activity as well as a detailed phylogenetic insight into the fractions of present versus metabolically active bacterial groups.
C1 [De Corte, Daniele; Sintes, Eva; Yokokawa, Taichi; Herndl, Gerhard J.] Royal Netherlands Inst Sea Res NIOZ, Dept Biol Oceanog, NL-1790 AB Den Burg, Netherlands.
[De Corte, Daniele] Univ Groningen, Ctr Ecol & Evolutionary Studies, NL-9700 CC Groningen, Netherlands.
[Herndl, Gerhard J.] Univ Vienna, Dept Marine Biol, Fac Ctr Ecol, A-1090 Vienna, Austria.
RP Herndl, GJ (corresponding author), Royal Netherlands Inst Sea Res NIOZ, Dept Biol Oceanog, POB 59, NL-1790 AB Den Burg, Netherlands.
EM gerhard.herndl@univie.ac.at
CR Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Bouvier T, 2003, FEMS MICROBIOL ECOL, V44, P3, DOI 10.1016/S0168-6496(02)00461-0
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
De Corte D, 2011, ENVIRON MICROBIOL, V13, P1827, DOI 10.1111/j.1462-2920.2011.02497.x
del Giorgio P. A., 2008, MICROBIAL ECOLOGY OC
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Hasle GR, 1998, POLAR RES, V17, P31, DOI 10.1111/j.1751-8369.1998.tb00257.x
JOSEPHSON KL, 1993, APPL ENVIRON MICROB, V59, P3513, DOI 10.1128/AEM.59.10.3513-3515.1993
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
KERKHOF L, 1993, APPL ENVIRON MICROB, V59, P1303, DOI 10.1128/AEM.59.5.1303-1309.1993
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Longnecker K, 2006, AQUAT MICROB ECOL, V42, P265, DOI 10.3354/ame042265
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Mills HJ, 2005, APPL ENVIRON MICROB, V71, P3235, DOI 10.1128/AEM.71.6.3235-3247.2005
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Moeseneder MM, 1999, APPL ENVIRON MICROB, V65, P3518
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Muyzer G, 1998, ANTON LEEUW INT J G, V73, P127, DOI 10.1023/A:1000669317571
Owrid G, 2000, POLAR RES, V19, P155, DOI 10.1111/j.1751-8369.2000.tb00340.x
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Piwosz K, 2009, POLAR BIOL, V32, P549, DOI 10.1007/s00300-008-0549-2
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
POULSEN LK, 1993, APPL ENVIRON MICROB, V59, P1354, DOI 10.1128/AEM.59.5.1354-1360.1993
Schoemann V, 2005, J SEA RES, V53, P43, DOI 10.1016/j.seares.2004.01.008
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Smith EM, 2003, AQUAT MICROB ECOL, V31, P203, DOI 10.3354/ame031203
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
Zhang Y, 2006, AQUAT MICROB ECOL, V43, P233, DOI 10.3354/ame043233
NR 41
TC 23
Z9 25
PD APR
PY 2013
VL 5
IS 2
BP 272
EP 281
DI 10.1111/1758-2229.12013
UT WOS:000315851200010
DA 2025-07-30
ER
PT J
AU Shilova, IN
Robidart, JC
DeLong, EF
Zehr, JP
AF Shilova, Irina N.
Robidart, Julie C.
DeLong, Edward F.
Zehr, Jonathan P.
TI Genetic Diversity Affects the Daily Transcriptional Oscillations of
Marine Microbial Populations
SO PLOS ONE
DT Article
AB Marine microbial communities are genetically diverse but have robust synchronized daily transcriptional patterns at the genus level that are similar across a wide variety of oceanic regions. We developed a microarray-inspired gene-centric approach to resolve transcription of closely-related but distinct strains/ecotypes in high-throughput sequence data. Applying this approach to the existing metatranscriptomics datasets collected from two different oceanic regions, we found unique and variable patterns of transcription by individual taxa within the abundant picocyanobacteria Prochlorococcus and Synechococcus, the alpha Proteobacterium Pelagibacter and the eukaryotic picophytoplankton Ostreococcus. The results demonstrate that marine microbial taxa respond differentially to variability in space and time in the ocean. These intra-genus individual transcriptional patterns underlie whole microbial community responses, and the approach developed here facilitates deeper insights into microbial population dynamics.
C1 [Shilova, Irina N.; Robidart, Julie C.; Zehr, Jonathan P.] Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA.
[DeLong, Edward F.] Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Honolulu, HI USA.
RP Zehr, JP (corresponding author), Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA.
EM zehrj@ucsc.edu
CR Ahlgren NA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00213
Aylward FO, 2015, P NATL ACAD SCI USA
Bombar D, 2015, J PLANKTON RES, V37, P727, DOI 10.1093/plankt/fbv049
Casciotti KL, 2001, APPL ENVIRON MICROB, V67, P2213, DOI 10.1128/AEM.67.5.2213-2221.2001
Chen F, 2004, AQUAT MICROB ECOL, V36, P153, DOI 10.3354/ame036153
COLLIER JL, 1992, J BACTERIOL, V174, P4718, DOI 10.1128/JB.174.14.4718-4726.1992
de Vargas C, 2015, SCIENCE, V348, DOI 10.1126/science.1261605
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Futschik ME, 2008, BIOINFORMATICS, V24, P1063, DOI 10.1093/bioinformatics/btn072
Futschik ME, 2009, CYCLE SIGNIFICANCE P
Gentleman RC, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-10-r80
Ginestet C, 2011, J ROY STAT SOC A, V174, P245, DOI 10.1111/j.1467-985X.2010.00676_9.x
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hewson I, 2010, ENVIRON MICROBIOL, V12, P1940, DOI 10.1111/j.1462-2920.2010.02198.x
Hewson I, 2009, LIMNOL OCEANOGR, V54, P1981, DOI 10.4319/lo.2009.54.6.1981
Holtzendorff J, 2002, ENVIRON MICROBIOL, V4, P644, DOI 10.1046/j.1462-2920.2002.00347.x
John DE, 2012, HYDROBIOLOGIA, V679, P155, DOI 10.1007/s10750-011-0862-6
Karl DM, 2012, P NATL ACAD SCI USA, V109, P1842, DOI 10.1073/pnas.1120312109
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Konstantinidis KT, 2009, P NATL ACAD SCI USA, V106, P15909, DOI 10.1073/pnas.0902000106
Lami R, 2014, AQUAT MICROB ECOL, V73, P185, DOI 10.3354/ame01716
Lindell D, 2001, APPL ENVIRON MICROB, V67, P3340, DOI 10.1128/AEM.67.8.3340-3349.2001
Lobry J.R., 2007, Structural Approaches to Sequence Evolution: Molecules, Networks, Populations, P207, DOI 10.
Malmstrom RR, 2013, ISME J, V7, P184, DOI 10.1038/ismej.2012.89
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Morgan M, 2009, BIOINFORMATICS, V25, P2607, DOI 10.1093/bioinformatics/btp450
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Palenik B, 2001, APPL ENVIRON MICROB, V67, P991, DOI 10.1128/AEM.67.2.991-994.2001
Palenik B, 2006, P NATL ACAD SCI USA, V103, P13555, DOI 10.1073/pnas.0602963103
Philippe N, 2007, BIOESSAYS, V29, P846, DOI 10.1002/bies.20629
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Robidart JC, 2014, ISME J, V8, P1175, DOI 10.1038/ismej.2013.244
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Shilova IN, 2014, ISME J, V8, P1476, DOI 10.1038/ismej.2014.1
Six C, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-12-r259
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suzuki R., 2014, pvclust: Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling, V22, P1540
Varaljay VA, 2012, APPL ENVIRON MICROB, V78, P2775, DOI 10.1128/AEM.07559-11
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vital M, 2015, ISME J, V9, P1130, DOI 10.1038/ismej.2014.204
Zehr JP, 2007, LIMNOL OCEANOGR, V52, P169, DOI 10.4319/lo.2007.52.1.0169
Zehr JP, 2011, ANNU REV MAR SCI, V3, P197, DOI 10.1146/annurev-marine-120709-142819
NR 53
TC 7
Z9 7
PD JAN 11
PY 2016
VL 11
IS 1
AR e0146706
DI 10.1371/journal.pone.0146706
UT WOS:000367888100133
DA 2025-07-30
ER
PT J
AU Zhou, J
Song, X
Zhang, CY
Chen, GF
Lao, YM
Jin, H
Cai, ZH
AF Zhou, Jin
Song, Xiao
Zhang, Chun-Yun
Chen, Guo-Fu
Lao, Yong-Min
Jin, Hui
Cai, Zhong-Hua
TI Distribution Patterns of Microbial Community Structure Along a 7000-Mile
Latitudinal Transect from the Mediterranean Sea Across the Atlantic
Ocean to the Brazilian Coastal Sea
SO MICROBIAL ECOLOGY
DT Article
AB A central goal in marine microecology is to understand the ecological factors shaping spatiotemporal microbial patterns and the underlying processes. We hypothesized that abiotic and/or biotic interactions are probably more important for explaining the distribution patterns of marine bacterioplankton than environmental filtering. In this study, surface seawater samples were collected about 7000 miles from the Mediterranean Sea, transecting the North Atlantic Ocean, to the Brazilian marginal sea. In bacterial biosphere, SAR11, SAR86, Rhodobacteraceae, and Rhodospiriaceae were predominant in the Mediterranean Sea; Prochlorococcus was more frequent in Atlantic Ocean: whereas in the Brazilian coastal sea, the main bacterial members were Synechococcus and SAR11. With respect to archaea, Eloyarchaeota were predominant in the Atlantic Ocean and Thaumarchaeota in the Mediterranean Sea. With respect to the eukaryotes, Syndiniales, Spumellaria, Ciyomonadida, and Chlorodendrales were predominant in the open ocean, while diatoms and microzooplankton were dominant in the coastal sea. Distinct clusters of prokaryotes and eukaryotes displayed clear spatial heterogeneity. Among the environmental parameters measured, temperature and salinity were key factors controlling bacterial and archaeal community structure, respectively, whereas N/P/Si contributed to eukaryotic variation. The relative contribution of environmental parameters to the microbial distribution pattern was 45.2%. Interaction analysis showed that Gammaproteobacteria, Alphaproteobacteria, and 1.7avobacteriia were the keystone taxa within the positive-correlation network, while Thermoplasmata was the main contributor in the negativecorrelation network. Our study demonstrated that microbial communities are co-governed by environmental filtering and biotic interactions, which are the main deterministic driving factors modulating the spatiotemporal patterns of marine plankton synergistically at the regional or global levels.
C1 [Zhou, Jin; Lao, Yong-Min; Jin, Hui; Cai, Zhong-Hua] Shenzhen Univ Town, Tsinghua Univ, Grad Sch Shenzhen, Shenzhen Publ Platform Screening & Applicat Marin, Room 905,Marine Bldg, Shenzhen 518055, Guangdong, Peoples R China.
[Song, Xiao] Tsinghua Univ, Dept Life Sci, Beijing, Peoples R China.
[Zhang, Chun-Yun; Chen, Guo-Fu] Harbin Inst Technol, Sch Marine Sci & Technol, Weihai, Shangdong, Peoples R China.
RP Cai, ZH (corresponding author), Shenzhen Univ Town, Tsinghua Univ, Grad Sch Shenzhen, Shenzhen Publ Platform Screening & Applicat Marin, Room 905,Marine Bldg, Shenzhen 518055, Guangdong, Peoples R China.; Chen, GF (corresponding author), Harbin Inst Technol, Sch Marine Sci & Technol, Weihai, Shangdong, Peoples R China.
EM chenguofu@hitch.edu.cn; caizh@sz.tsinghua.edu.cn
CR [Anonymous], 2007, PLOS BIOL
Armbrust EV, 2015, SCIENCE, V348, P865, DOI 10.1126/science.aaa7378
Auguet JC, 2010, ISME J, V4, P182, DOI 10.1038/ismej.2009.109
Aylward FO, 2015, P NATL ACAD SCI USA, V112, P5443, DOI 10.1073/pnas.1502883112
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bates ST, 2011, ISME J, V5, P908, DOI 10.1038/ismej.2010.171
Bazin P, 2014, HYDROBIOLOGIA, V726, P155, DOI 10.1007/s10750-013-1761-9
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carreto JI, 2003, MAR BIOL, V143, P1013, DOI 10.1007/s00227-003-1147-z
Chaffron S, 2010, GENOME RES, V20, P947, DOI 10.1101/gr.104521.109
Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
Clarke KR., 2006, PRIMER VERSION 7 USE
Coutinho FH, 2015, PEERJ, V3, DOI 10.7717/peerj.1008
Dumbrell AJ, 2010, ISME J, V4, P337, DOI 10.1038/ismej.2009.122
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Eggleston EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01534
Faust K, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002606
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Ferry JG, 2010, ANNU REV MICROBIOL, V64, P453, DOI 10.1146/annurev.micro.112408.134051
Fierer N, 2008, P NATL ACAD SCI USA, V105, P17994, DOI 10.1073/pnas.0807920105
Finlay BJ, 2002, SCIENCE, V296, P1061, DOI 10.1126/science.1070710
Forti F, 2011, J PHYS CHEM B, V115, P13771, DOI 10.1021/jp208562b
Fuhrman JA, 2005, APPL ENVIRON MICROB, V71, P4523, DOI 10.1128/AEM.71.8.4523-4530.2005
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Garcia VMT, 2008, DEEP-SEA RES PT I, V55, P1150, DOI 10.1016/j.dsr.2008.04.011
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gordon L.I., 1992, A suggested protocol for continuous flow automated analysis of seawater nutrients in the WOCE Hydrographic Program and the Joint Global Ocean Fluxes Study
Hahnke RL, 2013, AQUAT MICROB ECOL, V71, P131, DOI 10.3354/ame01668
Hamm CE, 2003, NATURE, V421, P841, DOI 10.1038/nature01416
Henry LG, 2016, SCIENCE, V353, P470, DOI 10.1126/science.aaf5529
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Irigoien X, 2004, NATURE, V429, P863, DOI 10.1038/nature02593
Jamieson RE, 2012, FEMS MICROBIOL ECOL, V80, P452, DOI 10.1111/j.1574-6941.2012.01313.x
Jeffries TC, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01438
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
Kengwoung-Keumo JJ, 2016, MATH BIOSCI ENG, V13, P787, DOI 10.3934/mbe.2016018
Keuter S, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv070
Kim JG, 2016, P NATL ACAD SCI USA, V113, P7888, DOI 10.1073/pnas.1605501113
Lewin A, 2013, CURR OPIN BIOTECH, V24, P516, DOI 10.1016/j.copbio.2012.10.012
Li WKW, 2002, NATURE, V419, P154, DOI 10.1038/nature00994
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Liu YC, 2008, ANN NY ACAD SCI, V1125, P171, DOI 10.1196/annals.1419.019
Liu ZF, 2007, NUCLEIC ACIDS RES, V35, DOI 10.1093/nar/gkl1156
Livermore JA, 2015, ISME J, V9, P2413, DOI 10.1038/ismej.2015.51
Lohner ST, 2014, ISME J, V8, P1673, DOI 10.1038/ismej.2014.82
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Lupatini M, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00010
Macalady JL, 2008, ISME J, V2, P590, DOI 10.1038/ismej.2008.25
Maire V, 2012, NEW PHYTOL, V196, P497, DOI 10.1111/j.1469-8137.2012.04287.x
Mapelli F, 2013, OCEAN SCI, V9, P585, DOI 10.5194/os-9-585-2013
Marg BL, 2005, BIOCHEMISTRY-US, V44, P29, DOI 10.1021/bi0485169
Medail F, 1997, ANN MO BOT GARD, V84, P112, DOI 10.2307/2399957
Mendonça A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0029526
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00590
Militza CCN, 2006, APPL ENVIRON MICROB, V72, P3175, DOI 10.1128/AEM.72.5.3175-3183.2006
Muck S, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00264
MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
O'Malley MA, 2008, STUD HIST PHI PART C, V39, P314, DOI 10.1016/j.shpsc.2008.06.005
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Ozuolmez D, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00492
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
Poggiale JC, 2010, PHILOS T R SOC B, V365, P3495, DOI 10.1098/rstb.2010.0165
Polson SC, 2007, THESIS
Pontarp M, 2012, MICROB ECOL, V64, P8, DOI 10.1007/s00248-011-0005-7
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Purdy KJ, 2004, ENVIRON MICROBIOL, V6, P591, DOI 10.1111/j.1462-2920.2004.00592.x
Quince C, 2009, NAT METHODS, V6, P639, DOI [10.1038/nmeth.1361, 10.1038/NMETH.1361]
Reigstad LJ, 2008, FEMS MICROBIOL ECOL, V64, P167, DOI 10.1111/j.1574-6941.2008.00466.x
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Scott JJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0119284
Shi SJ, 2016, ECOL LETT, V19, P926, DOI 10.1111/ele.12630
Signori CN, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00647
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Suh SS, 2014, J MICROBIOL, V52, P834, DOI 10.1007/s12275-014-4287-6
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Techtmann SM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0120605
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Tinta T, 2015, ENVIRON MICROBIOL, V17, P3581, DOI 10.1111/1462-2920.12519
Ulrich W, 2010, ECOL RES, V25, P375, DOI 10.1007/s11284-009-0661-y
Walsh EA, 2015, AQUAT MICROB ECOL, V75, P1, DOI 10.3354/ame01746
Wang JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027597
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Xue WC, 2015, WATER RES, V69, P120, DOI 10.1016/j.watres.2014.11.007
Yambartsev A, 2016, BIOL DIRECT, V11, DOI 10.1186/s13062-016-0155-0
Yang SZ, 2016, SCI REP-UK, V6, DOI 10.1038/srep37473
Yu SL, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00137
Zhang ZG, 2014, ISME J, V8, P881, DOI 10.1038/ismej.2013.185
Zheng XW, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00017
Zheng YC, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0069868, 10.1371/journal.pone.0080122]
Zhou JZ, 2010, MBIO, V1, DOI 10.1128/mBio.00169-10
ZHOU LL, 2015, SCI REP, V5
Zhu F, 2005, FEMS MICROBIOL ECOL, V52, P79, DOI 10.1016/j.femsec.2004.10.006
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 108
TC 34
Z9 39
PD OCT
PY 2018
VL 76
IS 3
BP 592
EP 609
DI 10.1007/s00248-018-1150-z
UT WOS:000443567600004
DA 2025-07-30
ER
PT J
AU González, JM
Simó, R
Massana, R
Covert, JS
Casamayor, EO
Pedrós-Alió, C
Moran, MA
AF González, JM
Simó, R
Massana, R
Covert, JS
Casamayor, EO
Pedrós-Alió, C
Moran, MA
TI Bacterial community structure associated with a
dimethylsulfoniopropionate-producing North Atlantic algal bloom
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The bacteria associated with oceanic algal blooms are acknowledged to play important roles in carbon, nitrogen, and sulfur cycling, yet little information is available on their identities or phylogenetic affiliations. Three culture-independent methods were used to characterize bacteria from a dimethylsulfoniopropionate (DMSP)-producing algal bloom in the North Atlantic, Group-specific 165 rRNA-targeted oligonucleotides, 16S ribosomal DNA (rDNA) clone libraries, and terminal restriction fragment length polymorphism analysis all indicated that the marine Roseobacter lineage was numerically important in the heterotrophic bacterial community, averaging >20% of the 16S rDNA sampled. Two other groups of heterotrophic bacteria, the SAR86 and SAR11 clades, were also shown by the three 16S rRNA-based methods to be abundant in the bloom community. In surface waters, the Roseobacter, SAR86, and SAR11 lineages together accounted for over 50% of the bacterial rDNA and showed little spatial variability in abundance despite variations in the dominant algal species. Depth profiles indicated that Roseobacter phylotype abundance decreased with depth and was positively correlated with chlorophyll a, DMSP, and total organic sulfur (dimethyl sulfide plus DMSP plus dimethyl sulfoxide) concentrations. Based on these data and previous physiological studies of cultured Roseobacter strains, we hypothesize that this lineage plays a role in cycling organic sulfur compounds produced within the bloom. Three other abundant bacterial phylotypes (representing a cyanobacterium and two members of the or Proteobacteria) were primarily associated with chlorophyll-rich surface waters of the bloom Ill to 50 m), while two others (representing Cytophagales and delta Proteobacteria) were primarily found in deeper waters (200 to 500 m).
C1 Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
CSIC, Inst Ciencias Mar, Dept Marine Biol & Oceanog, Barcelona, Catalonia, Spain.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Althoff K, 1998, MAR BIOL, V130, P529, DOI 10.1007/s002270050273
Ashen JB, 1996, J PHYCOL, V32, P286, DOI 10.1111/j.0022-3646.1996.00286.x
Azam F., 1984, Flows of energy and materials in marine ecosystems, P345
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
COLE JJ, 1982, LIMNOL OCEANOGR, V27, P1080, DOI 10.4319/lo.1982.27.6.1080
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1994, MICROBIAL ECOL, V28, P133, DOI 10.1007/BF00166801
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni S., 1991, NUCL ACID TECHNIQUES, P177
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Kerkhof LJ, 1999, HYDROBIOLOGIA, V401, P139, DOI 10.1023/A:1003734310515
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 1996, MAR CHEM, V54, P69, DOI 10.1016/0304-4203(96)00006-0
KIRCHMAN DL, 1994, DEEP-SEA RES PT I, V41, P879, DOI 10.1016/0967-0637(94)90081-7
LAFAY B, 1995, INT J SYST BACTERIOL, V45, P290, DOI 10.1099/00207713-45-2-290
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
LEDYARD KM, 1993, ARCH MICROBIOL, V160, P312, DOI 10.1007/BF00292083
Ledyard KM, 1996, LIMNOL OCEANOGR, V41, P33, DOI 10.4319/lo.1996.41.1.0033
Liu K, 1997, INT S MICRO, V16, P451
Maidak BL, 1999, NUCLEIC ACIDS RES, V27, P171, DOI 10.1093/nar/27.1.171
MORAN MA, 1995, APPL ENVIRON MICROB, V61, P3695, DOI 10.1128/AEM.61.10.3695-3700.1995
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
Peek AS, 1998, P NATL ACAD SCI USA, V95, P9962, DOI 10.1073/pnas.95.17.9962
Prokic I, 1998, PROTIST, V149, P347, DOI 10.1016/S1434-4610(98)70041-0
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
RIEMANN L, 2000, DYNAMICS BACTERIAL C, V66, P578
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Simó R, 1999, NATURE, V402, P396, DOI 10.1038/46516
Simo R, 1996, ANAL CHEM, V68, P1493, DOI 10.1021/ac9510907
Simó R, 1999, GLOBAL BIOGEOCHEM CY, V13, P1173, DOI 10.1029/1999GB900081
SIMO R, IN PRESS MAR ECOL PR
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
TURLEY C, 1994, MICROBIAL ECOL, V28, P287, DOI 10.1007/BF00166818
van Duyl FC, 1998, J SEA RES, V40, P221, DOI 10.1016/S1385-1101(98)00024-0
Weidner S, 1996, APPL ENVIRON MICROB, V62, P766, DOI 10.1128/AEM.62.3.766-771.1996
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
ZHEN L, 1993, BIOTECHNIQUES, V14, P897
NR 49
TC 368
Z9 417
PD OCT
PY 2000
VL 66
IS 10
BP 4237
EP 4246
DI 10.1128/AEM.66.10.4237-4246.2000
UT WOS:000089649700010
DA 2025-07-30
ER
PT J
AU López-Pérez, M
Haro-Moreno, JM
Iranzo, J
Rodriguez-Valera, F
AF Lopez-Perez, Mario
Haro-Moreno, Jose M.
Iranzo, Jaime
Rodriguez-Valera, Francisco
TI Genomes of the "Candidatus Actinomarinales" Order: Highly
Streamlined Marine Epipelagic Actinobacteria
SO MSYSTEMS
DT Article
AB "Candidatus Actinomarinales" was defined as a subclass of exclusively marine Actinobacteria with small cells and genomes. We have collected all the available genomes in databases to assess the diversity included in this group and analyzed it by comparative genomics. We have found the equivalent of five genera and 18 genomospecies. They have genome reduction parameters equal to those of freshwater actinobacterial "Candidatus Nanopelagicales" or marine alphaproteobacterial Pelagibacterales. Genome recruitment shows that they are found only in the photic zone and mainly in surface waters, with only one genus that is found preferentially at or below the deep chlorophyll maximum. "Ca. Actinomarinales" show a highly conserved core genome (80% of the gene families conserved for the whole order) with a saturation of genomic diversity of the flexible genome at the genomospecies level. We found only a flexible genomic island preserved throughout the order; it is related to the sugar decoration of the envelope and uses several tRNAs as hot spots to increase its genomic diversity. Populations had a discrete level of sequence diversity similar to other marine microbes but drastically different from the much higher levels found for Pelagibacterales. Genomic analysis suggests that they are all aerobic photoheterotrophs with one type 1 rhodopsin and a heliorhodopsin. Like other actinobacteria, they possess the F420 coenzyme biosynthesis pathway, and its lower reduction potential could provide access to an increased range of redox chemical transformations. Last, sequence analysis revealed the first "Ca. Actinomarinales" phages, including a prophage, with metaviromic islands related to sialic acid cleavage.
IMPORTANCE Microbiology is in a new age in which sequence databases are primary sources of information about many microbes. However, in-depth analysis of environmental genomes thus retrieved is essential to substantiate the new knowledge. Here, we study 182 genomes belonging to the only known exclusively marine pelagic group of the phylum Actinobacteria. The aquatic branch of this phylum is largely known from environmental sequencing studies (single-amplified genomes [SAGs] and metagenome-assembled genomes (MAGA), and we have collected and analyzed the available information present in databases about the "Ca. Actinomarinales." They are among the most streamlined microbes to live in the epipelagic zone of the ocean, and their study is critical to obtain a proper view of the diversity of Actinobacteria and their role in aquatic ecosystems.
C1 [Lopez-Perez, Mario; Haro-Moreno, Jose M.; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain.
[Iranzo, Jaime] Univ Politecn Madrid UPM, Ctr Biotecnol & Genom Plantas, Inst Nacl Invest & Tecnol Agr & Alimentaria INIA, Madrid, Spain.
[Iranzo, Jaime] Univ Zaragoza, Inst Biocomputat & Phys Complex Syst BIFI, Zaragoza, Spain.
[Rodriguez-Valera, Francisco] Moscow Inst Phys & Technol, Res Ctr Mol Mech Aging & Agerelated Dis, Dolgoprudnyi, Russia.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain.; Rodriguez-Valera, F (corresponding author), Moscow Inst Phys & Technol, Res Ctr Mol Mech Aging & Agerelated Dis, Dolgoprudnyi, Russia.
EM frvalera@umh.es
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Aylward FO, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00415-20
Bäumer S, 2000, J BIOL CHEM, V275, P17968, DOI 10.1074/jbc.M000650200
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Cohen O, 2010, BIOINFORMATICS, V26, P2914, DOI 10.1093/bioinformatics/btq549
Contreras-Moreira B, 2013, APPL ENVIRON MICROB, V79, P7696, DOI 10.1128/AEM.02411-13
Ding W, 2018, NUCLEIC ACIDS RES, V46, DOI 10.1093/nar/gkx977
Dixit PD, 2017, GENETICS, V207, P281, DOI 10.1534/genetics.117.300061
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Fraser C, 2007, SCIENCE, V315, P476, DOI 10.1126/science.1127573
Friedrich T, 2004, BBA-BIOENERGETICS, V1608, P1, DOI 10.1016/j.bbabio.2003.10.002
Ghai R, 2017, ISME J, V11, P304, DOI 10.1038/ismej.2016.110
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Greening C, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01000
Greening C, 2016, MICROBIOL MOL BIOL R, V80, P451, DOI 10.1128/MMBR.00070-15
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Huisman J, 2006, NATURE, V439, P322, DOI 10.1038/nature04245
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ikeda H, 2003, NAT BIOTECHNOL, V21, P526, DOI 10.1038/nbt820
Iranzo J, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13429-2
Jimenez-Infante F, 2016, APPL ENVIRON MICROB, V82, P1215, DOI 10.1128/AEM.02852-15
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kovalev K, 2020, P NATL ACAD SCI USA, V117, P4131, DOI 10.1073/pnas.1915888117
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Levin PA, 2015, CSH PERSPECT BIOL, V7, DOI 10.1101/cshperspect.a019216
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
López-Pérez M, 2014, FRONT GENET, V5, DOI 10.3389/fgene.2014.00147
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Mehrshad M, 2016, APPL ENVIRON MICROB, V82, P1599, DOI 10.1128/AEM.03381-15
Melnikov I, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602952
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nawrocki EP, 2009, THESIS, DOI 10.7936/K78050MP:
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Ney B, 2017, ISME J, V11, P125, DOI 10.1038/ismej.2016.100
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Pushkarev A, 2018, NATURE, V558, P595, DOI 10.1038/s41586-018-0225-9
Pushkarev A, 2016, ISME J, V10, P2331, DOI 10.1038/ismej.2016.7
Rappé MS, 1999, SYST APPL MICROBIOL, V22, P106, DOI 10.1016/S0723-2020(99)80033-2
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Rodriguez-Valera F, 2016, CURR OPIN MICROBIOL, V31, P154, DOI 10.1016/j.mib.2016.03.014
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Sharma AK, 2009, ISME J, V3, P726, DOI 10.1038/ismej.2009.13
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Taboada B, 2018, BIOINFORMATICS, V34, P4118, DOI 10.1093/bioinformatics/bty496
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Thompson LR, 2017, ISME J, V11, P138, DOI 10.1038/ismej.2016.99
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Wolf YI, 2013, GENOME BIOL EVOL, V5, P1393, DOI 10.1093/gbe/evt098
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
NR 78
TC 40
Z9 42
PD NOV-DEC
PY 2020
VL 5
IS 6
AR e01041-20
DI 10.1128/mSystems.01041-20
UT WOS:000630974900022
DA 2025-07-30
ER
PT J
AU Tamayo-Leiva, J
Cifuentes-Anticevic, J
Aparicio-Rizzo, P
Arroyo, JI
Masotti, I
Díez, B
AF Tamayo-Leiva, Javier
Cifuentes-Anticevic, Jeronimo
Aparicio-Rizzo, Pilar
Arroyo, Jose Ignacio
Masotti, Italo
Diez, Beatriz
TI Influence of Estuarine Water on the Microbial Community Structure of
Patagonian Fjords
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Fjords are sensitive areas affected by climate change and can act as a natural laboratory to study microbial ecological processes. The Chilean Patagonian fjords (41-56 degrees S), belonging to the Subantarctic ecosystem (46-60 degrees S), make up one of the world's largest fjord systems. In this region, Estuarine Water (EW) strongly influences oceanographic conditions, generating sharp gradients of oxygen, salinity and nutrients, the effects of which on the microbial community structure are poorly understood. During the spring of 2017 we studied the ecological patterns (dispersal and oceanographic factors) underlying the microbial community distribution in a linear span of 450 km along the estuarine-influenced Chilean Patagonian fjords. Our results show that widespread microbial dispersion existed along the fjords where bacterioplankton exhibited dependence on the eukaryotic phytoplankton community composition. This dependence was particularly observed under the low chlorophyll-a conditions of the Baker Channel area, in which a significant relationship was revealed between SAR11 Clade III and the eukaryotic families Pyrenomonadaceae (Cryptophyte) and Coccomyxaceae (Chlorophyta). Furthermore, dissolved oxygen and salinity were revealed as the main drivers influencing the surface marine microbial communities in these fjords. A strong salinity gradient resulted in the segregation of the Baker Channel prokaryotic communities from the rest of the Patagonian fjords. Likewise, Microbacteriaceae, Burkholderiaceae and SAR11 Clade III, commonly found in freshwater, were strongly associated with EW conditions in these fjords. The direct effect of EW on the microbial community structure and diversity of the fjords exemplifies the significance that climate change and, in particular, deglaciation have on this marine region and its productivity.
C1 [Tamayo-Leiva, Javier; Cifuentes-Anticevic, Jeronimo; Arroyo, Jose Ignacio; Diez, Beatriz] Pontificia Univ Catolica Chile, Fac Biol Sci, Dept Mol Genet & Microbiol, Santiago, Chile.
[Tamayo-Leiva, Javier; Aparicio-Rizzo, Pilar; Masotti, Italo; Diez, Beatriz] Univ Chile, Ctr Climate & Resilience Res CR2, Santiago, Chile.
[Aparicio-Rizzo, Pilar; Masotti, Italo] Univ Valparaiso, Fac Ciencias Mar & Recursos Nat, Vina Del Mar, Chile.
[Arroyo, Jose Ignacio] Santa Fe Inst, Santa Fe, NM 87501 USA.
[Arroyo, Jose Ignacio] Pontificia Univ Catolica Chile, Fac Biol Sci, Dept Ecol, Santiago, Chile.
[Arroyo, Jose Ignacio] Univ Chile, Ctr Math Modeling, Santiago, Chile.
[Masotti, Italo] Univ Valparaiso, Ctr Observ Marino Estudios Riesgos Ambiente Coste, Vina Del Mar, Chile.
[Diez, Beatriz] Ctr Genome Regulat CRG, Santiago, Chile.
RP Díez, B (corresponding author), Pontificia Univ Catolica Chile, Fac Biol Sci, Dept Mol Genet & Microbiol, Santiago, Chile.; Díez, B (corresponding author), Univ Chile, Ctr Climate & Resilience Res CR2, Santiago, Chile.; Díez, B (corresponding author), Ctr Genome Regulat CRG, Santiago, Chile.
CR Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
Cuevas LA, 2019, PROG OCEANOGR, V173, P103, DOI 10.1016/j.pocean.2019.02.012
Astudillo-García C, 2019, APPL MICROBIOL BIOT, V103, P6407, DOI 10.1007/s00253-019-09963-0
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Briatte F., 2020, R package version 0.1.0
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cardman Z, 2014, APPL ENVIRON MICROB, V80, P3749, DOI 10.1128/AEM.00899-14
Castledine M, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0252
Colwell RR, 1997, J IND MICROBIOL BIOT, V18, P302, DOI 10.1038/sj.jim.2900390
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Csardi G., 2006, Complex Syst, V1695, P1
Dale MRT, 2002, ECOSCIENCE, V9, P162, DOI 10.1080/11956860.2002.11682702
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
Dedysh SN, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiy227
Eregno FE, 2018, J HYDROL, V561, P179, DOI 10.1016/j.jhydrol.2018.04.006
Fernández LD, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix125
Fuentes S, 2019, POLAR BIOL, V42, P159, DOI 10.1007/s00300-018-2411-5
Galili T, 2015, BIOINFORMATICS, V31, P3718, DOI 10.1093/bioinformatics/btv428
Garreaud R, 2013, J CLIMATE, V26, P215, DOI 10.1175/JCLI-D-12-00001.1
Garreaud RD, 2018, CLIM RES, V74, P217, DOI 10.3354/cr01505
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glasl B, 2017, MAR BIOL, V164, DOI 10.1007/s00227-017-3097-x
González HE, 2013, PROG OCEANOGR, V119, P32, DOI 10.1016/j.pocean.2013.06.003
González HE, 2019, SCI TOTAL ENVIRON, V657, P1419, DOI 10.1016/j.scitotenv.2018.11.445
Guiry M.D., 2020, AlgaeBase
Gutiérrez MH, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00277
Gutiérrez MH, 2015, ENVIRON MICROBIOL, V17, P3882, DOI 10.1111/1462-2920.12872
Harrell Frank E Jr, 2024, CRAN
Iriarte JL, 2017, NEW ZEAL J MAR FRESH, V51, P304, DOI 10.1080/00288330.2016.1220955
Iriarte JL, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00360
Iriarte JL, 2014, PROG OCEANOGR, V129, P1, DOI 10.1016/j.pocean.2014.10.004
Kahle D, 2013, R J, V5, P144
Kappelmann L, 2019, ISME J, V13, P76, DOI 10.1038/s41396-018-0242-6
Kendall M. G., 1948, Rank correlation methods.
Kurtz ZD, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004226
Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
Legendre P, 2010, MOL ECOL RESOUR, V10, P831, DOI 10.1111/j.1755-0998.2010.02866.x
León-Muñoz J, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-19461-4
Iriarte JL, 2013, ENVIRON MONIT ASSESS, V185, P5055, DOI 10.1007/s10661-012-2925-1
Iriarte JL, 2010, AMBIO, V39, P463, DOI 10.1007/s13280-010-0049-9
MANTEL N, 1967, CANCER RES, V27, P209
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Meinshausen N, 2006, ANN STAT, V34, P1436, DOI 10.1214/009053606000000281
Meredith MP, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0163
Mestre M, 2021, TRENDS MICROBIOL, V29, P482, DOI 10.1016/j.tim.2020.10.007
Montero P, 2017, ESTUAR COAST SHELF S, V199, P105, DOI 10.1016/j.ecss.2017.09.027
Moreno-Pino M, 2018, TOXICON, V151, P5, DOI 10.1016/j.toxicon.2018.06.078
Muck S, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02141
Murtagh F, 2014, J CLASSIF, V31, P274, DOI 10.1007/s00357-014-9161-z
Oksanen Jari, 2024, CRAN
Olsen LM, 2017, AQUACULT ENV INTERAC, V9, P21, DOI 10.3354/aei00212
Oyola SO, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-1
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parsons R.T., 1984, A manual of chemical and biological methods for seawater analysis, V1st, P173
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2020, R LANG ENV STAT COMP
Rillig MC, 2017, CURR BIOL, V27, pR1280, DOI 10.1016/j.cub.2017.10.027
Rillig MC, 2015, TRENDS ECOL EVOL, V30, P470, DOI 10.1016/j.tree.2015.06.004
Rocca JD, 2020, ECOLOGY, V101, DOI 10.1002/ecy.2956
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Rojas-Jimenez K., 2019, VARIATION BACTERIAL, DOI 10.1101/864355
Rosselló-Móra R, 2015, SYST APPL MICROBIOL, V38, P209, DOI 10.1016/j.syapm.2015.02.001
ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
Saldías GS, 2019, PROG OCEANOGR, V174, P143, DOI 10.1016/j.pocean.2018.10.014
Schlitzer R., 2016, OCEAN DATA VIEW VERS
Schloter M, 2018, BIOL FERT SOILS, V54, P1, DOI 10.1007/s00374-017-1248-3
Sierocinski P, 2017, CURR BIOL, V27, P3390, DOI 10.1016/j.cub.2017.09.056
Silva N, 2014, PROG OCEANOGR, V129, P62, DOI 10.1016/j.pocean.2014.05.016
Silva Nelson, 2006, Ciencia y Tecnologia del Mar, V29, P25
Skytte Andersen K.S., 2018, ampvis2: An R Package to Analyse and Visualise 16S rRNA Amplicon Data, P299537, DOI DOI 10.1101/299537, Patent No. 299537
Strickland J.D.H., 1968, B FISH RES BOARD CAN, V167, P310, DOI [10.1002/iroh.19700550118, DOI 10.1002/IROH.19700550118]
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suzuki Ryota, 2019, CRAN, DOI 10.32614/CRAN.package.pvclust
Takeuchi N, 2004, ARCT ANTARCT ALP RES, V36, P92, DOI 10.1657/1523-0430(2004)036[0092:ASACOT]2.0.CO;2
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Tillett D, 2000, J PHYCOL, V36, P251, DOI 10.1046/j.1529-8817.2000.99079.x
Torres R, 2014, PROG OCEANOGR, V129, P50, DOI 10.1016/j.pocean.2014.09.008
Torres R, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006344
Vargas CA, 2018, J GEOPHYS RES-BIOGEO, V123, P256, DOI 10.1002/2017JG003907
Vincent AT, 2017, J MICROBIOL METH, V138, P60, DOI 10.1016/j.mimet.2016.02.016
Wang Y, 2012, APPL ENVIRON MICROB, V78, P8264, DOI 10.1128/AEM.01821-12
Wei T, 2017, corrplot: Visualization of a Correlation Matrix (Version 0.92) [R Package]
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
NR 87
TC 8
Z9 8
PD JUL 23
PY 2021
VL 8
AR 611981
DI 10.3389/fmars.2021.611981
UT WOS:000684305400001
DA 2025-07-30
ER
PT J
AU Apprill, A
Marlow, HQ
Martindale, MQ
Rappe, MS
AF Apprill, Amy
Marlow, Heather Q.
Martindale, Mark Q.
Rappe, Michael S.
TI Specificity of Associations between Bacteria and the Coral
Pocillopora meandrina during Early Development
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Relationships between corals and specific bacterial associates are thought to play an important role in coral health. In this study, the specificity of bacteria associating with the coral Pocillopora meandrina was investigated by exposing coral embryos to various strains of cultured marine bacteria, sterile seawater, or raw seawater and examining the identity, density, and location of incorporated cells. The isolates utilized in this experiment included members of the Roseobacter and SAR11 clades of the Alpha-proteobacteria, a Pseudoalteromonas species of the Gammaproteobacteria, and a Synechococcus species of the Cyanobacteria phylum. Based on terminal restriction fragment length polymorphism analysis of small-subunit rRNA genes, similarities in bacterial communities associated with 170-h-old planulae were observed regardless of treatment, suggesting that bacteria may have been externally associated from the outset of the experiment. Microscopic examination of P. meandrina planulae by fluorescence in situ hybridization with bacterial and Roseobacter clade-specific oligonucleotide probes revealed differences in the densities and locations of planulae-associated cells. Planulae exposed to either raw seawater or strains of Pseudoalteromonas and Roseobacter harbored the highest densities of internally associated cells, of which 20 to 100% belonged to the Roseobacter clade. Planulae exposed to sterile seawater or strains of the SAR11 clade and Synechococcus did not show evidence of prominent bacterial associations. Additional analysis of the raw-seawater-exposed planulae via electron microscopy confirmed the presence of internally associated prokaryotic cells, as well as virus-like particles. These results suggest that the availability of specific microorganisms may be an important factor in the establishment of coral-bacterial relationships.
C1 [Apprill, Amy; Rappe, Michael S.] Univ Hawaii, SOEST, Hawaii Inst Marine Biol, Kaneohe, HI USA.
[Apprill, Amy] Univ Hawaii, Dept Oceanog, SOEST, Honolulu, HI 96822 USA.
[Marlow, Heather Q.; Martindale, Mark Q.] Univ Hawaii, Pacific Biosci Res Ctr, Kewalo Marine Lab, Honolulu, HI 96822 USA.
RP Rappe, MS (corresponding author), Univ Hawaii, SOEST, Hawaii Inst Marine Biol, Kaneohe, HI USA.
EM rappe@hawaii.edu
CR Abrego D, 2009, MOL ECOL, V18, P3532, DOI 10.1111/j.1365-294X.2009.04276.x
Ainsworth TD, 2007, MAR BIOL, V151, P19, DOI 10.1007/s00227-006-0449-3
Ainsworth TD, 2007, APPL ENVIRON MICROB, V73, P981, DOI 10.1128/AEM.02172-06
Ainsworth T, 2008, ISME J, V2, P67, DOI 10.1038/ismej.2007.88
Ainsworth TD, 2006, APPL ENVIRON MICROB, V72, P3016, DOI 10.1128/AEM.72.4.3016-3020.2006
Apprill A, 2009, ISME J, V3, P685, DOI 10.1038/ismej.2009.3
Baker AC, 2003, ANNU REV ECOL EVOL S, V34, P661, DOI 10.1146/annurev.ecolsys.34.011802.132417
Becker JW, 2007, MANUAL OF ENVIRONMENTAL MICROBIOLOGY, 3RD ED, P399
Bentis CJ, 2000, BIOL BULL, V198, P254, DOI 10.2307/1542528
Brinkmeyer R, 2000, EUR J PHYCOL, V35, P315, DOI 10.1017/S096702620000295X
Broadbent AD, 2002, ESTUAR COAST SHELF S, V55, P547, DOI 10.1006/ecss.2002.1021
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Bythell JC, 2002, LETT APPL MICROBIOL, V34, P359, DOI 10.1046/j.1472-765X.2002.01097.x
Cooney RP, 2002, ENVIRON MICROBIOL, V4, P401, DOI 10.1046/j.1462-2920.2002.00308.x
Davy JE, 2007, AQUAT MICROB ECOL, V47, P37, DOI 10.3354/ame047037
Garren M, 2008, ENVIRON MICROBIOL, V10, P2299, DOI 10.1111/j.1462-2920.2008.01654.x
Helmuth BST, 1997, MAR BIOL, V130, P1, DOI 10.1007/s002270050219
HILL RW, 1995, B MAR SCI, V57, P489
Kelman D, 2004, CORAL HEALTH AND DISEASE, P243
Kikuchi Y, 2007, APPL ENVIRON MICROB, V73, P4308, DOI 10.1128/AEM.00067-07
Klaus JS, 2007, ENVIRON MICROBIOL, V9, P1291, DOI 10.1111/j.1462-2920.2007.01249.x
Knowlton N, 2003, AM NAT, V162, pS51, DOI 10.1086/378684
Koren O, 2008, MICROB ECOL, V55, P523, DOI 10.1007/s00248-007-9297-z
Koren O, 2006, APPL ENVIRON MICROB, V72, P5254, DOI 10.1128/AEM.00554-06
KUHL M, 1995, MAR ECOL PROG SER, V117, P159, DOI 10.3354/meps117159
Kvennefors ECE, 2009, CORAL REEFS, V28, P547, DOI 10.1007/s00338-009-0473-0
Kvennefors ECE, 2008, DEV COMP IMMUNOL, V32, P1582, DOI 10.1016/j.dci.2008.05.010
Kvennefors ECE, 2010, DEV COMP IMMUNOL, V34, P1219, DOI 10.1016/j.dci.2010.06.016
LaJeunesse TC, 2010, J BIOGEOGR, V37, P785, DOI 10.1111/j.1365-2699.2010.02273.x
Lampert Y, 2008, FEMS MICROBIOL ECOL, V64, P187, DOI 10.1111/j.1574-6941.2008.00458.x
Lesser MP, 2007, MAR ECOL PROG SER, V346, P143, DOI 10.3354/meps07008
Lesser MP, 2004, SCIENCE, V305, P997, DOI 10.1126/science.1099128
Littman RA, 2009, FEMS MICROBIOL ECOL, V68, P152, DOI 10.1111/j.1574-6941.2009.00666.x
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Marhaver KL, 2008, ENVIRON MICROBIOL, V10, P2277, DOI 10.1111/j.1462-2920.2008.01652.x
Miller DJ, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-4-r59
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran NA, 2000, CURR OPIN MICROBIOL, V3, P270, DOI 10.1016/S1369-5274(00)00088-6
Moran NA, 2006, CURR BIOL, V16, pR866, DOI 10.1016/j.cub.2006.09.019
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUNSON MA, 1991, J BACTERIOL, V173, P6321, DOI 10.1128/jb.173.20.6321-6324.1991
Negri AP, 2001, MAR ECOL PROG SER, V223, P121, DOI 10.3354/meps223121
Newton JA, 2004, CELL MICROBIOL, V6, P213, DOI 10.1111/j.1462-5822.2004.00362.x
Nissimov J, 2009, FEMS MICROBIOL LETT, V292, P210, DOI 10.1111/j.1574-6968.2009.01490.x
Nussbaumer AD, 2006, NATURE, V441, P345, DOI 10.1038/nature04793
Osborne CA, 2006, APPL ENVIRON MICROB, V72, P1270, DOI 10.1128/AEM.72.2.1270-1278.2006
Patten NL, 2008, CORAL REEFS, V27, P569, DOI 10.1007/s00338-008-0356-9
Rohwer F, 2001, CORAL REEFS, V20, P85
Rohwer F, 2002, MAR ECOL PROG SER, V243, P1, DOI 10.3354/meps243001
Sharp KH, 2012, ISME J, V6, P790, DOI 10.1038/ismej.2011.144
SHASHAR N, 1992, J EXP MAR BIOL ECOL, V163, P277, DOI 10.1016/0022-0981(92)90055-F
Stat M, 2009, MAR ECOL PROG SER, V386, P83, DOI 10.3354/meps08080
Sunagawa S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009554
Sunagawa S, 2009, ISME J, V3, P512, DOI 10.1038/ismej.2008.131
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Thurber RLV, 2011, J EXP MAR BIOL ECOL, V408, P102, DOI 10.1016/j.jembe.2011.07.030
Thurber RLV, 2008, P NATL ACAD SCI USA, V105, P18413, DOI 10.1073/pnas.0808985105
van Oppen MJH, 2009, SYMBIOSIS, V47, P1
Vermeij MJA, 2009, OECOLOGIA, V159, P325, DOI 10.1007/s00442-008-1223-7
Webster NS, 2004, APPL ENVIRON MICROB, V70, P1213, DOI 10.1128/AEM.70.2.1213-1221.2004
Wegley L, 2004, MAR ECOL PROG SER, V273, P89, DOI 10.3354/meps273089
Wegley L, 2007, ENVIRON MICROBIOL, V9, P2707, DOI 10.1111/j.1462-2920.2007.01383.x
Wilson WH, 2005, CORAL REEFS, V24, P145, DOI 10.1007/s00338-004-0448-0
NR 63
TC 50
Z9 56
PD OCT
PY 2012
VL 78
IS 20
BP 7467
EP 7475
DI 10.1128/AEM.01232-12
UT WOS:000309328700034
DA 2025-07-30
ER
PT J
AU Fortunato, CS
Eiler, A
Herfort, L
Needoba, JA
Peterson, TD
Crump, BC
AF Fortunato, Caroline S.
Eiler, Alexander
Herfort, Lydie
Needoba, Joseph A.
Peterson, Tawnya D.
Crump, Byron C.
TI Determining indicator taxa across spatial and seasonal gradients in the
Columbia River coastal margin
SO ISME JOURNAL
DT Article
AB Bacterioplankton communities are deeply diverse and highly variable across space and time, but several recent studies demonstrate repeatable and predictable patterns in this diversity. We expanded on previous studies by determining patterns of variability in both individual taxa and bacterial communities across coastal environmental gradients. We surveyed bacterioplankton diversity across the Columbia River coastal margin, USA, using amplicon pyrosequencing of 16S rRNA genes from 596 water samples collected from 2007 to 2010. Our results showed seasonal shifts and annual reassembly of bacterioplankton communities in the freshwater-influenced Columbia River, estuary, and plume, and identified indicator taxa, including species from freshwater SAR11, Oceanospirillales, and Flavobacteria groups, that characterize the changing seasonal conditions in these environments. In the river and estuary, Actinobacteria and Betaproteobacteria indicator taxa correlated strongly with seasonal fluctuations in particulate organic carbon (rho = -0.664) and residence time (rho=0.512), respectively. In contrast, seasonal change in communities was not detected in the coastal ocean and varied more with the spatial variability of environmental factors including temperature and dissolved oxygen. Indicator taxa of coastal ocean environments included SAR406 and SUP05 taxa from the deep ocean, and Prochlorococcus and SAR11 taxa from the upper water column. We found that in the Columbia River coastal margin, freshwater-influenced environments were consistent and predictable, whereas coastal ocean community variability was difficult to interpret due to complex physical conditions. This study moves beyond beta-diversity patterns to focus on the occurrence of specific taxa and lends insight into the potential ecological roles these taxa have in coastal ocean environments.
C1 [Fortunato, Caroline S.; Crump, Byron C.] Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD USA.
[Eiler, Alexander] Uppsala Univ, Dept Ecol & Genet, Uppsala, Sweden.
[Herfort, Lydie; Needoba, Joseph A.; Peterson, Tawnya D.] Oregon Hlth & Sci Univ, Ctr Coastal Margin Observat & Predict, Beaverton, OR USA.
RP Fortunato, CS (corresponding author), Josephine Bay Paul Ctr, Marine Biol Lab, Woods Hole, MA 02543 USA.
EM cfortunato@mbl.edu
CR Allen SE, 2010, J GEOPHYS RES-OCEANS, V115, DOI [10.1029/2009JC005731, 10.1029/2009JC00573]
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], 2013, R LANG ENV STAT COMP
Barberán A, 2012, ISME J, V6, P343, DOI 10.1038/ismej.2011.119
Caporaso JG, 2012, ISME J, V6, P1089, DOI 10.1038/ismej.2011.162
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CLARKE KR, 1993, MAR ECOL PROG SER, V92, P205, DOI 10.3354/meps092205
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2003, APPL ENVIRON MICROB, V69, P2253, DOI 10.1128/AEM.69.4.2253-2268.2003
Crump BC, 2012, ISME J, V6, P1629, DOI 10.1038/ismej.2012.9
Crump BC, 2009, P NATL ACAD SCI USA, V106, P21208, DOI 10.1073/pnas.0906149106
Cury JC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016553
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fortunato CS, 2011, MICROB ECOL, V62, P374, DOI 10.1007/s00248-011-9805-z
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Ghiglione JF, 2008, BIOGEOSCIENCES, V5, P1751, DOI 10.5194/bg-5-1751-2008
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
HEDGES JI, 1984, LIMNOL OCEANOGR, V29, P657, DOI 10.4319/lo.1984.29.3.0657
Hickey BM, 2008, OCEANOGRAPHY, V21, P90, DOI 10.5670/oceanog.2008.07
Hickey BM, 1998, J GEOPHYS RES-OCEANS, V103, P10339, DOI 10.1029/97JC03290
Hickey BM, 2003, ESTUARIES, V26, P1010, DOI 10.1007/BF02803360
Kent AD, 2007, ISME J, V1, P38, DOI 10.1038/ismej.2007.6
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Lauber CL, 2009, APPL ENVIRON MICROB, V75, P5111, DOI 10.1128/AEM.00335-09
LEGENDRE L., 1983, NUMERICAL ECOLOGY
Legendre P, 1999, ECOL MONOGR, V69, P512, DOI 10.1890/0012-9615(1999)069[0512:E]2.0.CO;2
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nelson CE, 2009, ISME J, V3, P13, DOI 10.1038/ismej.2008.81
Nemergut DR, 2011, ENVIRON MICROBIOL, V13, P135, DOI 10.1111/j.1462-2920.2010.02315.x
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schwing FB, 1997, J GEOPHYS RES-OCEANS, V102, P3421, DOI 10.1029/96JC03591
Shaw AK, 2008, ENVIRON MICROBIOL, V10, P2200, DOI 10.1111/j.1462-2920.2008.01626.x
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
TERBRAAK CJF, 1986, ECOLOGY, V67, P1167
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
VERARDO DJ, 1990, DEEP-SEA RES, V37, P157, DOI 10.1016/0198-0149(90)90034-S
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
NR 58
TC 128
Z9 143
PD OCT
PY 2013
VL 7
IS 10
BP 1899
EP 1911
DI 10.1038/ismej.2013.79
UT WOS:000324869400003
DA 2025-07-30
ER
PT J
AU Brakstad, OG
Throne-Holst, M
Netzer, R
Stoeckel, DM
Atlas, RM
AF Brakstad, Odd G.
Throne-Holst, Mimmi
Netzer, Roman
Stoeckel, Donald M.
Atlas, Ronald M.
TI Microbial communities related to biodegradation of dispersed Macondo oil
at low seawater temperature with Norwegian coastal seawater
SO MICROBIAL BIOTECHNOLOGY
DT Article
AB The Deepwater Horizon (DWH) accident in 2010 created a deepwater plume of small oil droplets from a deepwater well in the Mississippi Canyon lease block 252 (Macondo oil'). A novel laboratory system was used in the current study to investigate biodegradation of Macondo oil dispersions (10m or 30m median droplet sizes) at low oil concentrations (2mgl(-1)) in coastal Norwegian seawater at a temperature of 4-5 degrees C. Whole metagenome analyses showed that oil biodegradation was associated with the successive increased abundances of Gammaproteobacteria, while Alphaproteobacteria (Pelagibacter) became dominant at the end of the experiment. Colwellia and Oceanospirillales were related to n-alkane biodegradation, while particularly Cycloclasticus and Marinobacter were associated with degradation of aromatic hydrocarbons (HCs). The larger oil droplet dispersions resulted in delayed sequential changes of Oceanospirillales and Cycloclasticus, related with slower degradation of alkanes and aromatic HCs. The bacterial successions associated with oil biodegradation showed both similarities and differences when compared with the results from DWH field samples and laboratory studies performed with deepwater from the Gulf of Mexico.
C1 [Brakstad, Odd G.; Throne-Holst, Mimmi; Netzer, Roman] SINTEF Mat & Chem Environm Technol, Dept Appl Environm Biol & Chem, N-7465 Trondheim, Norway.
[Stoeckel, Donald M.] Battelle Mem Inst, Columbus, OH 43201 USA.
[Atlas, Ronald M.] Univ Louisville, Louisville, KY 40292 USA.
RP Brakstad, OG (corresponding author), SINTEF Mat & Chem Environm Technol, Dept Appl Environm Biol & Chem, N-7465 Trondheim, Norway.
EM odd.brakstad@sintef.no
CR [Anonymous], 2001, Molecular cloning, a laboratory manual, DOI DOI 10.1101/PDB.PROT4022
[Anonymous], DEEP SEA RES 2
[Anonymous], 1963, The mathematical theory of communication
Atlas RM, 2011, ENVIRON SCI TECHNOL, V45, P6709, DOI 10.1021/es2013227
Bælum J, 2012, ENVIRON MICROBIOL, V14, P2405, DOI 10.1111/j.1462-2920.2012.02780.x
BRADDOCK JF, 1995, MAR POLLUT BULL, V30, P125, DOI 10.1016/0025-326X(94)00110-U
Brakstad OG, 2015, MAR POLLUT BULL, V93, P144, DOI 10.1016/j.marpolbul.2015.02.006
Brakstad OG, 2014, MAR POLLUT BULL, V84, P125, DOI 10.1016/j.marpolbul.2014.05.027
Brakstad OG, 2008, MICROB ECOL, V55, P540, DOI 10.1007/s00248-007-9299-x
Brakstad OG, 2006, BIODEGRADATION, V17, P71, DOI 10.1007/s10532-005-3342-8
Brakstad OG, 2005, MICROB ECOL, V49, P94, DOI 10.1007/s00248-003-0225-6
Brakstad OG, 2004, BIODEGRADATION, V15, P337, DOI 10.1023/B:BIOD.0000042189.69946.07
Camilli R, 2010, SCIENCE, V330, P201, DOI 10.1126/science.1195223
Coulon F, 2007, ENVIRON MICROBIOL, V9, P177, DOI 10.1111/j.1462-2920.2006.01126.x
Deppe U, 2005, EXTREMOPHILES, V9, P461, DOI 10.1007/s00792-005-0463-2
Doumenq P, 2001, CHEMOSPHERE, V44, P519, DOI 10.1016/S0045-6535(00)00521-X
Dubinsky EA, 2013, ENVIRON SCI TECHNOL, V47, P10860, DOI 10.1021/es401676y
DYKSTERHOUSE SE, 1995, INT J SYST BACTERIOL, V45, P116, DOI 10.1099/00207713-45-1-116
Geiselbrecht AD, 1998, APPL ENVIRON MICROB, V64, P4703
Gerdes B, 2005, FEMS MICROBIOL ECOL, V53, P129, DOI 10.1016/j.femsec.2004.11.010
Gutierrez T, 2013, ISME J, V7, P2091, DOI 10.1038/ismej.2013.98
Hawley ER, 2014, STAND GENOMIC SCI, V9, P635, DOI 10.4056/sigs.5029016
Hazen TC, 2010, SCIENCE, V330, P204, DOI 10.1126/science.1195979
Hedlund BP, 2001, FEMS MICROBIOL LETT, V201, P47, DOI 10.1111/j.1574-6968.2001.tb10731.x
Kasai Y, 2002, APPL ENVIRON MICROB, V68, P5625, DOI 10.1128/AEM.68.11.5625-5633.2002
Kasai Y, 2002, ENVIRON MICROBIOL, V4, P141, DOI 10.1046/j.1462-2920.2002.00275.x
Kessler JD, 2011, SCIENCE, V331, P312, DOI 10.1126/science.1199697
Korenblum E, 2010, APPL MICROBIOL BIOT, V85, P791, DOI 10.1007/s00253-009-2281-4
Kostka JE, 2011, APPL ENVIRON MICROB, V77, P7962, DOI 10.1128/AEM.05402-11
Lai QL, 2012, J BACTERIOL, V194, P6677, DOI 10.1128/JB.01837-12
Lu ZM, 2012, ISME J, V6, P451, DOI 10.1038/ismej.2011.91
Mason OU, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00332
Mason OU, 2012, ISME J, V6, P1715, DOI 10.1038/ismej.2012.59
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nordtug T, 2011, MAR POLLUT BULL, V62, P2106, DOI 10.1016/j.marpolbul.2011.07.015
North EW, 2011, GEOPHYS MONOGR SER, V195, P217, DOI 10.1029/2011GM001102
Pasquini C, 2007, FUEL, V86, P1927, DOI 10.1016/j.fuel.2006.12.026
Pinhassi J, 2009, INT J SYST EVOL MICR, V59, P373, DOI 10.1099/ijs.0.002113-0
PRINCE RC, 1994, ENVIRON SCI TECHNOL, V28, P142, DOI 10.1021/es00050a019
Reddy CM, 2012, P NATL ACAD SCI USA, V109, P20229, DOI 10.1073/pnas.1101242108
Redmond MC, 2012, P NATL ACAD SCI USA, V109, P20292, DOI 10.1073/pnas.1108756108
Reed M., 2000, OSCAR2000: A Multi-component 3-Dimensional Oil Spill Contingency and Response Model
Smith AJ, 2014, EARTH PLANET SC LETT, V395, P241, DOI 10.1016/j.epsl.2014.03.055
Valentine DL, 2012, P NATL ACAD SCI USA, V109, P20286, DOI 10.1073/pnas.1108820109
Valentine DL, 2010, SCIENCE, V330, P208, DOI 10.1126/science.1196830
Wang J., 2014, SETAC N AM 35 ANN M
Yakimov MM, 2007, CURR OPIN BIOTECH, V18, P257, DOI 10.1016/j.copbio.2007.04.006
Yakimov MM, 2004, FEMS MICROBIOL ECOL, V49, P419, DOI 10.1016/j.femsec.2004.04.018
Yakimov MM, 2004, INT J SYST EVOL MICR, V54, P141, DOI 10.1099/ijs.0.02424-0
NR 49
TC 53
Z9 55
PD SEP
PY 2015
VL 8
IS 6
BP 989
EP 998
DI 10.1111/1751-7915.12303
UT WOS:000363426100009
DA 2025-07-30
ER
PT J
AU Yeh, YC
Fuhrman, JA
AF Yeh, Yi-Chun
Fuhrman, Jed A.
TI Contrasting diversity patterns of prokaryotes and protists over time and
depth at the San-Pedro Ocean Time series
SO ISME COMMUNICATIONS
DT Article
AB Community dynamics are central in microbial ecology, yet we lack studies comparing diversity patterns among marine protists and prokaryotes over depth and multiple years. Here, we characterized microbes at the San-Pedro Ocean Time series (2005-2018), using SSU rRNA gene sequencing from two size fractions (0.2-1 and 1-80 mu m), with a universal primer set that amplifies from both prokaryotes and eukaryotes, allowing direct comparisons of diversity patterns in a single set of analyses. The 16S + 18S rRNA gene composition in the small size fraction was mostly prokaryotic (>92%) as expected, but the large size fraction unexpectedly contained 46-93% prokaryotic 16S rRNA genes. Prokaryotes and protists showed opposite vertical diversity patterns; prokaryotic diversity peaked at mid-depth, protistan diversity at the surface. Temporal beta-diversity patterns indicated prokaryote communities were much more stable than protists. Although the prokaryotic communities changed monthly, the average community stayed remarkably steady over 14 years, showing high resilience. Additionally, particle-associated prokaryotes were more diverse than smaller free-living ones, especially at deeper depths, contributed unexpectedly by abundant and diverse SAR11 clade II. Eukaryotic diversity was strongly correlated with the diversity of particle-associated prokaryotes but not free-living ones, reflecting that physical associations result in the strongest interactions, including symbioses, parasitism, and decomposer relationships.
C1 [Yeh, Yi-Chun; Fuhrman, Jed A.] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
RP Fuhrman, JA (corresponding author), Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
EM fuhrman@usc.edu
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Bachvaroff TR, 2012, APPL ENVIRON MICROB, V78, P334, DOI 10.1128/AEM.06678-11
Berdjeb L, 2018, ISME J, V12, P1907, DOI 10.1038/s41396-018-0097-x
BERELSON WM, 1991, LIMNOL OCEANOGR, V36, P1150, DOI 10.4319/lo.1991.36.6.1150
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Butler TM, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-42609-9
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chénard C, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-52648-x
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Clarke LJ, 2019, ISME J, V13, P734, DOI 10.1038/s41396-018-0306-7
Countway PD, 2007, ENVIRON MICROBIOL, V9, P1219, DOI 10.1111/j.1462-2920.2007.01243.x
Countway PD, 2010, LIMNOL OCEANOGR, V55, P2381, DOI 10.4319/lo.2010.55.6.2381
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Crutsinger GM, 2006, SCIENCE, V313, P966, DOI 10.1126/science.1128326
De Bie T, 2012, ECOL LETT, V15, P740, DOI 10.1111/j.1461-0248.2012.01794.x
de Vargas C, 2015, SCIENCE, V348, DOI 10.1126/science.1261605
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Duret MT, 2019, ENV MICROBIOL REP, V11, P386, DOI 10.1111/1758-2229.12692
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giner CR, 2020, ISME J, V14, P437, DOI 10.1038/s41396-019-0506-9
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Guillou L, 2008, ENVIRON MICROBIOL, V10, P3349, DOI 10.1111/j.1462-2920.2008.01731.x
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Hawkins BA, 2003, AM NAT, V161, P40, DOI 10.1086/345479
Hawley AK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01376-9
Hu SK, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00351
Karl DM, 2014, NAT REV MICROBIOL, V12, P699, DOI 10.1038/nrmicro3333
Kim DY, 2014, ISME J, V8, P515, DOI 10.1038/ismej.2013.173
Kolde R, 2019, R Package Version
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Lampitt RS, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003221
LeBrun ES, 2018, MICROB ECOL, V75, P64, DOI 10.1007/s00248-017-1039-2
Leibold MA, 2004, ECOL LETT, V7, P601, DOI 10.1111/j.1461-0248.2004.00608.x
Lie AAY, 2013, AQUAT MICROB ECOL, V70, P93, DOI 10.3354/ame01652
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Martin P, 2010, LIMNOL OCEANOGR, V55, P604, DOI 10.4319/lo.2009.55.2.0604
McNichol J, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00565-21
Mestre M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01590
Mestre M, 2018, P NATL ACAD SCI USA, V115, pE6799, DOI 10.1073/pnas.1802470115
Mestre M, 2017, MOL ECOL, V26, P6827, DOI 10.1111/mec.14421
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
Mohit V, 2014, APPL ENVIRON MICROB, V80, P2071, DOI 10.1128/AEM.02916-13
Murillo AA, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00018
Needham DM, 2018, ISME J, V12, P2417, DOI 10.1038/s41396-018-0169-y
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Oksanen Jari, 2024, CRAN
Ollison GA, 2021, DEEP-SEA RES PT I, V170, DOI 10.1016/j.dsr.2021.103494
Orsi W, 2012, ISME J, V6, P1586, DOI 10.1038/ismej.2012.7
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parada AE, 2017, ISME J, V11, P2510, DOI 10.1038/ismej.2017.104
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parris DJ, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00543
Pernice MC, 2016, ISME J, V10, P945, DOI 10.1038/ismej.2015.170
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Reji L, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01075
Salazar G, 2015, MOL ECOL, V24, P5692, DOI 10.1111/mec.13419
Santoro AE, 2011, SCIENCE, V333, P1282, DOI 10.1126/science.1208239
Scherber C, 2010, NATURE, V468, P553, DOI 10.1038/nature09492
Schloerke B., 2018, Package GGally. Extension to ggplot2.See, P713
Schnetzer A, 2011, DEEP-SEA RES PT I, V58, P16, DOI 10.1016/j.dsr.2010.10.003
Skovgaard A, 2005, PROTIST, V156, P413, DOI 10.1016/j.protis.2005.08.002
Soininen J, 2011, LIMNOL OCEANOGR, V56, P508, DOI 10.4319/lo.2011.56.2.0508
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Traving SJ, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02731-9
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
Wu WX, 2018, ISME J, V12, P485, DOI 10.1038/ismej.2017.183
Yang JW, 2018, ISME J, V12, P1532, DOI [10.1038/S41396-018-0111-3, 10.1038/s41396-018-0111-3]
Yeh YC, 2021, ENVIRON MICROBIOL, V23, P3240, DOI 10.1111/1462-2920.15553
Yeh YC, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00023-18
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 89
TC 47
Z9 49
PD APR 13
PY 2022
VL 2
IS 1
AR 36
DI 10.1038/s43705-022-00121-8
UT WOS:001105679600001
DA 2025-07-30
ER
PT J
AU Landa, M
Blain, S
Harmand, J
Monchy, S
Rapaport, A
Obernosterer, I
AF Landa, Marine
Blain, Stephane
Harmand, Jerome
Monchy, Sebastien
Rapaport, Alain
Obernosterer, Ingrid
TI Major changes in the composition of a Southern Ocean bacterial community
in response to diatom-derived dissolved organic matter
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB In the Southern Ocean, natural iron fertilization in the wake of islands leads to annually occurring spring phytoplankton blooms associated with enhanced heterotrophic activity through the release of labile dissolved organic matter (DOM). The aim of this study was to investigate experimentally how diatom-derived DOM affects the composition of Southern Ocean winter water bacterial communities and to identify the most responsive taxa. A bacterial community collected in the naturally iron-fertilized region off Kerguelen Island (KEOPS2 October-November 2011) was grown onboard in continuous cultures, on winter water alone or amended with diatom-derived DOM supplied at identical DOC concentrations. 454 sequencing of 16S amplicons revealed that the two DOM sources sustained strikingly different bacterial communities, with higher relative abundances of Sulfitobacter, Colwellia and Methylophaga operational taxonomic units (OTUs) and lower relative abundances of Polaribacter, Marinobacter, NAC11-7 and SAR11 OTUs in diatom-DOM compared to winter water conditions. Using a modeling approach, we obtained growth rates for phylogenetically diverse taxa varying between 0.12 and 0.49 d(-1) under carbon-limited conditions. Our results identify diatom DOM as a key factor shaping Southern Ocean winter water bacterial communities and suggest a role for niche partitioning and microbial interactions in organic matter utilization.
C1 [Landa, Marine; Blain, Stephane; Obernosterer, Ingrid] UPMC Univ Paris 06, Sorbonne Univ, CNRS, Lab Oceanog Microbienne LOMIC,Observ Oceanol, F-66650 Banyuls Sur Mer, France.
[Harmand, Jerome] Univ Montpellier, INRA, LBE, Narbonne, France.
[Monchy, Sebastien] Univ Lille, Univ Littoral Cote Opale, CNRS, LOG,UMR 8187, F-59000 Lille, France.
[Rapaport, Alain] Univ Montpellier, INRA, MISTEA, Montpellier SupAgro, 2 Pl Viala, F-34060 Montpellier, France.
[Landa, Marine] Univ Calif Santa Cruz, Ocean Sci Dept, Santa Cruz, CA 95064 USA.
RP Landa, M (corresponding author), 1156 High St, Santa Cruz, CA 95064 USA.; Landa, M (corresponding author), Univ Calif Santa Cruz, Ocean Sci Dept, Santa Cruz, CA 95064 USA.
EM mlandabe@ucsc.edu
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Aminot A., 2007, DOSAGE AUTOMATIQUE N
Ankrah NYD, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01125-14
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Beier S, 2015, ENVIRON MICROBIOL, V17, P3466, DOI 10.1111/1462-2920.12434
BENNER R, 1993, MAR CHEM, V41, P153, DOI 10.1016/0304-4203(93)90113-3
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Boyd PW, 2000, NATURE, V407, P695, DOI 10.1038/35037500
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
Church MJ., 2008, MICROBIAL ECOLOGY OC, P335, DOI DOI 10.1002/9780470281840.CH10
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
Datta MS, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11965
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
Dumont M., 2008, 16th Mediterranean Conference on Control & Automation, MED 2008, P1381, DOI 10.1109/MED.2008.4602004
Durham BP, 2015, P NATL ACAD SCI USA, V112, P453, DOI 10.1073/pnas.1413137112
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fourquez M, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00256
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gifford SM, 2016, MBIO, V7, DOI 10.1128/mBio.01279-16
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
GOLDMAN JC, 1987, LIMNOL OCEANOGR, V32, P1239, DOI 10.4319/lo.1987.32.6.1239
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Hertkorn N, 2007, ANAL BIOANAL CHEM, V389, P1311, DOI 10.1007/s00216-007-1577-4
Hu P, 2017, P NATL ACAD SCI USA, V114, P7432, DOI 10.1073/pnas.1703424114
Kerkhof LJ, 1999, HYDROBIOLOGIA, V401, P139, DOI 10.1023/A:1003734310515
Kim H, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00214
Kim JG, 2014, ENVIRON MICROBIOL, V16, P1566, DOI 10.1111/1462-2920.12287
Kimes NE, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-938
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kirchman DL, 2000, LIMNOL OCEANOGR, V45, P1681, DOI 10.4319/lo.2000.45.8.1681
Kleindienst S, 2015, P NATL ACAD SCI USA, V112, P14900, DOI 10.1073/pnas.1507380112
Krause SMB, 2017, P NATL ACAD SCI USA, V114, P358, DOI 10.1073/pnas.1619871114
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Landa M, 2014, ENVIRON MICROBIOL, V16, P1668, DOI 10.1111/1462-2920.12242
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Landa M, 2013, AQUAT MICROB ECOL, V69, P157, DOI 10.3354/ame01632
Langenheder S, 2005, LIMNOL OCEANOGR, V50, P957, DOI 10.4319/lo.2005.50.3.0957
Langenheder S, 2006, APPL ENVIRON MICROB, V72, P212, DOI 10.1128/AEM.72.1.212-220.2006
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li TD, 2007, MICROBIOLOGY+, V76, P75, DOI 10.1134/S0026261707010110
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Luria CM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02117
Luria CM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01731
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
MONOD J, 1950, ANN I PASTEUR PARIS, V79, P390
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morris JJ, 2014, EVOLUTION, V68, P2960, DOI 10.1111/evo.12485
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nelson JD, 2008, FEMS MICROBIOL ECOL, V65, P484, DOI 10.1111/j.1574-6941.2008.00553.x
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Neumann AM, 2015, ENVIRON MICROBIOL, V17, P3857, DOI 10.1111/1462-2920.12862
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
NOVICK A, 1950, SCIENCE, V112, P715, DOI 10.1126/science.112.2920.715
Obernosterer I, 2015, BIOGEOSCIENCES, V12, P1983, DOI 10.5194/bg-12-1983-2015
Obernosterer I, 2008, DEEP-SEA RES PT II, V55, P777, DOI 10.1016/j.dsr2.2007.12.005
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Quéguiner B, 2013, DEEP-SEA RES PT II, V90, P43, DOI 10.1016/j.dsr2.2012.07.024
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Rapaport A, 2009, J THEOR BIOL, V257, P252, DOI 10.1016/j.jtbi.2008.11.015
Redmond MC, 2012, P NATL ACAD SCI USA, V109, P20292, DOI 10.1073/pnas.1108756108
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rink B, 2007, AQUAT MICROB ECOL, V48, P47, DOI 10.3354/ame048047
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Sarmento H, 2016, ISME J, V10, P2582, DOI 10.1038/ismej.2016.66
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Simon M, 2012, AQUAT MICROB ECOL, V68, P13, DOI 10.3354/ame01597
Sjöstedt J, 2013, AQUAT MICROB ECOL, V71, P15, DOI 10.3354/ame01660
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Speeckaert G, 2018, SCI TOTAL ENVIRON, V622, P362, DOI 10.1016/j.scitotenv.2017.11.359
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tada Y, 2012, J OCEANOGR, V68, P509, DOI 10.1007/s10872-012-0114-z
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thiele S, 2012, APPL ENVIRON MICROB, V78, P8803, DOI 10.1128/AEM.01814-12
Thompson LR, 2013, ECOL EVOL, V3, P1780, DOI 10.1002/ece3.593
Tremblay L, 2015, BIOGEOSCIENCES, V12, P607, DOI 10.5194/bg-12-607-2015
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wawrik B, 2005, APPL ENVIRON MICROB, V71, P6776, DOI 10.1128/AEM.71.11.6776-6783.2005
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wietz M, 2015, ENVIRON MICROBIOL, V17, P3822, DOI 10.1111/1462-2920.12842
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Wolcott RD, 2009, BMC MICROBIOL, V9, DOI 10.1186/1471-2180-9-226
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
NR 117
TC 25
Z9 27
PD APR
PY 2018
VL 94
IS 4
AR fiy034
DI 10.1093/femsec/fiy034
UT WOS:000429481200014
DA 2025-07-30
ER
PT J
AU Kaur, C
Vishnoi, A
Ariyadasa, TU
Bhattacharya, A
Singla-Pareek, SL
Sopory, SK
AF Kaur, Charanpreet
Vishnoi, Anchal
Ariyadasa, Thilini Udayangani
Bhattacharya, Alok
Singla-Pareek, Sneh Lata
Sopory, Sudhir Kumar
TI Episodes of horizontal gene-transfer and gene-fusion led to co-existence
of different metal-ion specific glyoxalase I
SO SCIENTIFIC REPORTS
DT Article
AB Glyoxalase pathway plays an important role in stress adaptation and many clinical disorders. The first enzyme of this pathway, glyoxalase I (GlxI), uses methylglyoxal as a substrate and requires either Ni(II)/Co(II) or Zn(II) for activity. Here we have investigated the origin of different metal ion specificities of GlxI and subsequent pattern of inheritance during evolution. Our results suggest a primitive origin of single-domain Ni dependent GlxI [Ni-GlxI]. This subsequently evolved into Zn activated GlxI [Zn-GlxI] in deltaproteobacteria. However, origin of eukaryotic Zn-GlxI is different and can be traced to GlxI from Candidatus pelagibacter and Sphingomonas. In eukaryotes GlxI has evolved as two-domain protein but the corresponding Zn form is lost in plants/higher eukaryotes. In plants gene expansion has given rise to multiple two-domain Ni-GlxI which are differentially regulated under abiotic stress conditions. Our results suggest that different forms of GlxI have evolved to help plants adapt to stress.
C1 [Kaur, Charanpreet; Ariyadasa, Thilini Udayangani; Singla-Pareek, Sneh Lata; Sopory, Sudhir Kumar] Int Ctr Genet Engn & Biotechnol, New Delhi 110067, India.
[Bhattacharya, Alok] Jawaharlal Nehru Univ, Sch Computat & Integrat Sci, New Delhi 110067, India.
[Vishnoi, Anchal; Bhattacharya, Alok] Jawaharlal Nehru Univ, Sch Life Sci, New Delhi 110067, India.
RP Kaur, C (corresponding author), Int Ctr Genet Engn & Biotechnol, Aruna Asaf Ali Marg, New Delhi 110067, India.
EM charanpreet06@gmail.com; anchalv@gmail.com
CR Akanuma S, 2010, J BIOCHEM, V147, P371, DOI 10.1093/jb/mvp179
Baldauf SL, 2003, SCIENCE, V300, P1703, DOI 10.1126/science.1085544
Bateman A, 2002, NUCLEIC ACIDS RES, V30, P276, DOI [10.1093/nar/gkp985, 10.1093/nar/gkr1065, 10.1093/nar/gkh121]
Berman HM, 2000, NUCLEIC ACIDS RES, V28, P235, DOI 10.1093/nar/28.1.235
Cameron AD, 1997, EMBO J, V16, P3386, DOI 10.1093/emboj/16.12.3386
Chauhan SC, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006805
Clugston SL, 1998, BIOCHEMISTRY-US, V37, P8754, DOI 10.1021/bi972791w
COOPER RA, 1984, ANNU REV MICROBIOL, V38, P49, DOI 10.1146/annurev.mi.38.100184.000405
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Fiser A, 2003, METHOD ENZYMOL, V374, P461, DOI 10.1016/S0076-6879(03)74020-8
Frickel EM, 2001, J BIOL CHEM, V276, P1845, DOI 10.1074/jbc.M005760200
Guindon S, 2005, NUCLEIC ACIDS RES, V33, pW557, DOI 10.1093/nar/gki352
Gupta RS, 2000, FEMS MICROBIOL REV, V24, P367, DOI 10.1111/j.1574-6976.2000.tb00547.x
Hardison R, 1998, J EXP BIOL, V201, P1099
Horton P, 2007, NUCLEIC ACIDS RES, V35, pW585, DOI 10.1093/nar/gkm259
Iozef R, 2003, FEBS LETT, V554, P284, DOI 10.1016/S0014-5793(03)01146-3
Johansen KS, 2000, PLANT SCI, V155, P11, DOI 10.1016/S0168-9452(99)00250-2
Kalapos MP, 1999, TOXICOL LETT, V110, P145, DOI 10.1016/S0378-4274(99)00160-5
Kawatani M, 2008, P NATL ACAD SCI USA, V105, P11691, DOI 10.1073/pnas.0712239105
Kloesges T, 2011, MOL BIOL EVOL, V28, P1057, DOI 10.1093/molbev/msq297
KORCHAK G I, 1980, Mikrobiologicheskii Zhurnal (Kiev), V42, P761
LASKOWSKI RA, 1993, J APPL CRYSTALLOGR, V26, P283, DOI 10.1107/S0021889892009944
Laskowski RA, 2009, NUCLEIC ACIDS RES, V37, pD355, DOI 10.1093/nar/gkn860
Letunic I, 2007, BIOINFORMATICS, V23, P127, DOI 10.1093/bioinformatics/btl529
Lin FY, 2010, MOL BIOL REP, V37, P729, DOI 10.1007/s11033-009-9578-3
Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
Miller AG, 2006, J BIOL CHEM, V281, P11864, DOI 10.1074/jbc.M513813200
Mustafiz A, 2011, FUNCT INTEGR GENOMIC, V11, P293, DOI 10.1007/s10142-010-0203-2
Rabbani N, 2011, SEMIN CELL DEV BIOL, V22, P309, DOI 10.1016/j.semcdb.2011.02.015
Saito R, 2011, PLANT CELL ENVIRON, V34, P1454, DOI 10.1111/j.1365-3040.2011.02344.x
Salzberg SL, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-3-r23
Singla-Pareek SL, 2006, PLANT PHYSIOL, V140, P613, DOI 10.1104/pp.105.073734
Singla-Pareek SL, 2003, P NATL ACAD SCI USA, V100, P14672, DOI 10.1073/pnas.2034667100
Singla-Pareek SL, 2008, TRANSGENIC RES, V17, P171, DOI 10.1007/s11248-007-9082-2
Skipsey M, 2000, ARCH BIOCHEM BIOPHYS, V374, P261, DOI 10.1006/abbi.1999.1596
STOLP H, 1973, ANNU REV PHYTOPATHOL, V11, P53, DOI 10.1146/annurev.py.11.090173.000413
Sukdeo N, 2004, BIOCHEM J, V384, P111, DOI 10.1042/BJ20041006
Sukdeo N, 2007, BBA-PROTEINS PROTEOM, V1774, P756, DOI 10.1016/j.bbapap.2007.04.005
Sukdeo Nicole, 2008, Drug Metabolism and Drug Interactions, V23, P29
Suttisansanee U, 2011, J BIOL CHEM, V286, P38367, DOI 10.1074/jbc.M111.251603
Suttisansanee U, 2011, SEMIN CELL DEV BIOL, V22, P285, DOI 10.1016/j.semcdb.2011.02.004
Tuomainen M, 2011, PLANTA, V233, P1173, DOI 10.1007/s00425-011-1370-7
Urscher M, 2010, MOL MICROBIOL, V76, P92, DOI 10.1111/j.1365-2958.2010.07082.x
Usui Y, 2001, J BIOL CHEM, V276, P11376, DOI 10.1074/jbc.M010337200
Waterhouse AM, 2009, BIOINFORMATICS, V25, P1189, DOI 10.1093/bioinformatics/btp033
Yoshida S, 1972, LAB MANUAL PHYSL STU
Yu NY, 2010, BIOINFORMATICS, V26, P1608, DOI 10.1093/bioinformatics/btq249
Zhang Y, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-78
NR 49
TC 44
Z9 48
PD NOV 13
PY 2013
VL 3
AR 3076
DI 10.1038/srep03076
UT WOS:000327019600001
DA 2025-07-30
ER
PT J
AU Kim, KE
Joo, HM
Kim, YJ
Kang, D
Lee, TK
Jung, SW
Ha, SY
AF Kim, Kang Eun
Joo, Hyoung Min
Kim, Yu Jin
Kang, Donhyug
Lee, Taek-Kyun
Jung, Seung Won
Ha, Sun-Yong
TI Ecological Interaction between Bacteriophages and Bacteria in Sub-Arctic
Kongsfjorden Bay, Svalbard, Norway
SO MICROORGANISMS
DT Article
AB Marine virus diversity and their relationships with their hosts in the marine environment remain unclear. This study investigated the co-occurrence of marine DNA bacteriophages (phages) and bacteria in the sub-Arctic area of Kongsfjorden Bay in Svalbard (Norway) in April and June 2018 using metagenomics tools. Of the marine viruses identified, 48-81% were bacteriophages of the families Myoviridae, Siphoviridae, and Podoviridae. Puniceispirillum phage HMO-2011 was dominant (7.61%) in April, and Puniceispirillum phage HMO-2011 (3.32%) and Pelagibacter phage HTVC008M (3.28%) were dominant in June. Gammaproteobacteria (58%), including Eionea flava (14.3%) and Pseudomonas sabulinigri (12.2%), were dominant in April, whereas Alphaproteobacteria (87%), including Sulfitobacter profundi (51.5%) and Loktanella acticola (32.4%), were dominant in June. The alpha diversity of the bacteriophages and bacterial communities exhibited opposite patterns. The diversity of the bacterial community was higher in April and lower in June. Changes in water temperature and light can influence the relationship between bacteria and bacteriophages.
C1 [Kim, Kang Eun; Kim, Yu Jin; Jung, Seung Won] Korea Inst Ocean Sci & Technol, Lib Marine Samples, Geoje 53201, South Korea.
[Kim, Kang Eun; Kim, Yu Jin; Lee, Taek-Kyun; Jung, Seung Won] Univ Sci & Technol, Dept Ocean Sci, Daejeon 34113, South Korea.
[Joo, Hyoung Min] Korea Polar Res Inst, Unit Next Generat IBRV Bldg Program, Incheon 21990, South Korea.
[Kang, Donhyug] Korea Inst Ocean Sci & Technol, Marine Domain & Secur Res Dept, Pusan 49111, South Korea.
[Lee, Taek-Kyun] Korea Inst Ocean Sci & Technol, Risk Assessment Res Ctr, Geoje 53201, South Korea.
[Ha, Sun-Yong] Korea Polar Res Inst, Div Polar Ocean Sci, Incheon 21990, South Korea.
RP Jung, SW (corresponding author), Korea Inst Ocean Sci & Technol, Lib Marine Samples, Geoje 53201, South Korea.; Jung, SW (corresponding author), Univ Sci & Technol, Dept Ocean Sci, Daejeon 34113, South Korea.; Ha, SY (corresponding author), Korea Polar Res Inst, Div Polar Ocean Sci, Incheon 21990, South Korea.
EM rkddmssl@kiost.ac.kr; hmjoo77@kopri.re.kr; rladbwls06069@kiost.ac.kr;
dhkang@kiost.ac.kr; tklee@kiost.ac.kr; diatoms@kiost.ac.kr;
syha@kopri.re.kr
CR Aalto NJ, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.892634
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Barak-Gavish N, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aau5716
Brum JR, 2016, ISME J, V10, P437, DOI 10.1038/ismej.2015.125
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buchholz HH, 2023, ISME J, V17, P1660, DOI 10.1038/s41396-023-01466-1
Bushnell B., 2014, . LBNL-7065E
Chen XW, 2019, WATER RES, V160, P118, DOI 10.1016/j.watres.2019.05.051
Clarke K.R., 2015, Getting started with PRIMER v7, P20
Du S, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000596
Edwards RA, 2005, NAT REV MICROBIOL, V3, P504, DOI 10.1038/nrmicro1163
Endo H, 2020, NAT ECOL EVOL, V4, P1639, DOI 10.1038/s41559-020-01288-w
Gao C, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.01160-21
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gong Z, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02981
Howard-Varona C, 2017, ISME J, V11, P1511, DOI 10.1038/ismej.2017.16
Jeong G, 2023, MAR POLLUT BULL, V193, DOI 10.1016/j.marpolbul.2023.115149
Jiang XW, 2019, TOXINS, V11, DOI 10.3390/toxins11080444
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Jung SW, 2023, VIRUSES-BASEL, V15, DOI 10.3390/v15061293
Kim JG, 2014, ENVIRON MICROBIOL, V16, P1566, DOI 10.1111/1462-2920.12287
Kim KE, 2023, MICROORGANISMS, V11, DOI 10.3390/microorganisms11010169
Kim KE, 2022, OCEAN SCI J, V57, P259, DOI 10.1007/s12601-022-00064-0
Li RW, 2012, ENVIRON MICROBIOL, V14, P129, DOI 10.1111/j.1462-2920.2011.02543.x
Liu ZY, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24087662
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Mahmoud H, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02063
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Nguyen HT, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.968583
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Oksanen Jari, 2024, CRAN
Payet JP, 2013, LIMNOL OCEANOGR, V58, P465, DOI 10.4319/lo.2013.58.2.0465
Payne CM, 2019, CONT SHELF RES, V191, DOI 10.1016/j.csr.2019.104005
Ptashne M, 2006, CURR BIOL, V16, pR459, DOI 10.1016/j.cub.2006.05.037
Qin F, 2022, ISME J, V16, P1363, DOI 10.1038/s41396-021-01183-7
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Romaniuk K, 2019, GENES-BASEL, V10, DOI 10.3390/genes10110850
Roux S, 2019, NAT BIOTECHNOL, V37, P29, DOI 10.1038/nbt.4306
Sabacká M, 2006, POLAR BIOL, V30, P31, DOI 10.1007/s00300-006-0156-z
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Shirokolobova T I, 2016, Dokl Biol Sci, V469, P182, DOI 10.1134/S0012496616040104
SOROKIN DY, 1995, MICROBIOLOGY+, V64, P295
Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thompson AW, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00074-4
Urios L, 2011, INT J SYST EVOL MICR, V61, P1677, DOI 10.1099/ijs.0.023952-0
Venger MP, 2016, RUSS J MAR BIOL+, V42, P26, DOI 10.1134/S106307401601017X
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weinbauer MG, 2004, ENVIRON MICROBIOL, V6, P1, DOI 10.1046/j.1462-2920.2003.00539.x
Weitz JS, 2017, NATURE, V549, pE1, DOI 10.1038/nature23295
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Williams KP, 2002, NUCLEIC ACIDS RES, V30, P866, DOI 10.1093/nar/30.4.866
Williamson SJ, 2002, APPL ENVIRON MICROB, V68, P4307, DOI 10.1128/AEM.68.9.4307-4314.2002
Winder JC, 2023, GENES-BASEL, V14, DOI 10.3390/genes14020363
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
Yau S, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11020189
Young R, 2014, J MICROBIOL, V52, P243, DOI 10.1007/s12275-014-4087-z
Zhang WP, 2020, MICROBIOME, V8, DOI [10.1186/s40168-020-00826-9, 10.3390/microorganisms8060953]
Zhu YL, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.1032186
NR 68
TC 2
Z9 2
PD FEB
PY 2024
VL 12
IS 2
AR 276
DI 10.3390/microorganisms12020276
UT WOS:001172354300001
DA 2025-07-30
ER
PT J
AU Nekrouf, NA
Maestre-Carballa, L
Lluesma-Gomez, M
Martinez-Hernandez, F
Martinez-Garcia, M
AF Nekrouf, Nadefa Adda
Maestre-Carballa, Lucia
Lluesma-Gomez, Monica
Martinez-Hernandez, Francisco
Martinez-Garcia, Manuel
TI Annual dynamics and metagenomics of marine vesicles: One more layer of
complexity in the dissolved organic fraction
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Despite the role of extracellular vesicles (EVs) in genetic and biogeochemical exchange in the ocean, there is a notable dearth of studies delving into the seasonal annual dynamics of EVs in uncultured microbial communities. Here, quantitative data from the oligotrophic Mediterranean Sea revealed that EVs mL-1 ranged from 104 to 106 throughout the year and correlated with microbial abundances (correlation coefficient = 0.67). The ratio of EVs per cell ranged from 1 to 4. Vesicle metagenomics identified copiotrophic and oligotrophic prokaryotic species, such as Flavobacterium and Pelagibacter, putatively dominating the production of EVs containing DNA in the annual dataset. Micromonas spp. and others Mamiellophyceae emerged as the dominant eukaryotic producers of EVs containing DNA. Genes belonging to viruses were consistently identified in purified vesicles. The relative proportion of viral contigs found in the vesicle fraction (2.4-30.4%) suggested that the release of viral genomes in EVs could be more common than previously thought.
C1 [Nekrouf, Nadefa Adda; Maestre-Carballa, Lucia; Lluesma-Gomez, Monica; Martinez-Hernandez, Francisco; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
[Nekrouf, Nadefa Adda; Maestre-Carballa, Lucia; Lluesma-Gomez, Monica; Martinez-Hernandez, Francisco; Martinez-Garcia, Manuel] Univ Alicante, Multidisciplinary Inst Environm Studies IMEM, Alicante, Spain.
RP Martinez-Garcia, M (corresponding author), Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.; Martinez-Garcia, M (corresponding author), Univ Alicante, Multidisciplinary Inst Environm Studies IMEM, Alicante, Spain.
EM m.martinez@ua.es
CR [Anonymous], INT J NEUROSCI
Arkin AP, 2018, NAT BIOTECHNOL, V36, P566, DOI 10.1038/nbt.4163
Biller SJ, 2023, APPL ENVIRON MICROB, V89, DOI 10.1128/aem.00594-23
Biller SJ, 2022, ENVIRON MICROBIOL, V24, P420, DOI 10.1111/1462-2920.15834
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Bitto NJ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07288-4
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Brochier-Armanet C, 2012, ISME J, V6, P227, DOI [10.1038/ismej.2012.110, 10.1038/ismej.2011.145]
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2013, ISME J, V7, P1738, DOI 10.1038/ismej.2013.67
Button DK, 2001, APPL ENVIRON MICROB, V67, P1636, DOI 10.1128/AEM.67.4.1636-1645.2001
Chen JE, 2018, ISME J, V12, P639, DOI 10.1038/ismej.2017.179
COLL M, 2010, PLOS ONE, V5
de Rond L, 2018, CLIN CHEM, V64, P680, DOI 10.1373/clinchem.2017.278978
Fadeev Eduard, 2023, Microlife, V4, puqac025, DOI 10.1093/femsml/uqac025
Ferrari G, 2006, PROTEOMICS, V6, P1856, DOI 10.1002/pmic.200500164
Fischer-Parton S, 2000, J MICROSC-OXFORD, V198, P246, DOI 10.1046/j.1365-2818.2000.00708.x
Forterre P, 2011, CR CHIM, V14, P392, DOI 10.1016/j.crci.2010.06.007
Frias A, 2010, MICROB ECOL, V59, P476, DOI 10.1007/s00248-009-9622-9
Gamalier JP, 2017, MICROBIOL RES, V194, P38, DOI 10.1016/j.micres.2016.08.002
Gerritzen MJH, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-41233-x
Guo JR, 2021, MICROBIOME, V9, DOI 10.1186/s40168-020-00990-y
Hackl T, 2023, CELL, V186, P47, DOI 10.1016/j.cell.2022.12.006
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jeppesen DK, 2023, TRENDS CELL BIOL, V33, P667, DOI 10.1016/j.tcb.2023.01.002
KaparakisLiaskos M., 2020, BACTERIAL MEMBRANE V, P1, DOI [10.1007/978-3-030-36331-4, DOI 10.1007/978-3-030-36331-4]
Kulp A, 2010, ANNU REV MICROBIOL, V64, P163, DOI 10.1146/annurev.micro.091208.073413
Linney MD, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.02093-21
Liu Junfeng, 2021, Microlife, V2, puqab007, DOI 10.1093/femsml/uqab007
Lücking D, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00317-6
MacDonald IA, 2013, J BACTERIOL, V195, P2971, DOI 10.1128/JB.02267-12
MacDonald IA, 2012, RES MICROBIOL, V163, P607, DOI 10.1016/j.resmic.2012.10.020
McBroom AJ, 2006, J BACTERIOL, V188, P5385, DOI 10.1128/JB.00498-06
Mills J, 2024, P NATL ACAD SCI USA, V121, DOI 10.1073/pnas.2311321121
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
MUGOPSTELTEN D, 1978, BIOCHIM BIOPHYS ACTA, V508, P287, DOI 10.1016/0005-2736(78)90331-0
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Noble JM, 2020, J STRUCT BIOL, V210, DOI 10.1016/j.jsb.2020.107474
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Orench-Rivera N, 2016, CELL MICROBIOL, V18, P1525, DOI 10.1111/cmi.12676
Pasalic L, 2016, NANOMED-NANOTECHNOL, V12, P977, DOI 10.1016/j.nano.2015.12.370
Pérez-Cruz C, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0169186
Pérez-Cruz C, 2013, APPL ENVIRON MICROB, V79, P1874, DOI 10.1128/AEM.03657-12
Prados-Rosales R, 2014, MBIO, V5, DOI 10.1128/mBio.01921-14
Rodriguez-R LM., 2016, PeerJ Preprints, V4, pe1900v1, DOI [DOI 10.7287/PEERJ.PREPRINTS.1900V1, 10.7287/peerj.preprints.1900v1]
Sampath V, 2018, MOL MICROBIOL, V107, P523, DOI 10.1111/mmi.13897
Schatz D, 2021, ISME J, V15, P3714, DOI 10.1038/s41396-021-01018-5
Schatz D, 2018, CURR OPIN MICROBIOL, V43, P148, DOI 10.1016/j.mib.2018.01.014
Schatz D, 2017, NAT MICROBIOL, V2, P1485, DOI 10.1038/s41564-017-0024-3
Shaffer M, 2020, NUCLEIC ACIDS RES, V48, P8883, DOI 10.1093/nar/gkaa621
Singorenko PD, 2017, J EXTRACELL VESICLES, V6, DOI 10.1080/20013078.2017.1324731
Soler N, 2008, RES MICROBIOL, V159, P390, DOI 10.1016/j.resmic.2008.04.015
Tashiro Y, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00571
van Dongen HM, 2016, MICROBIOL MOL BIOL R, V80, P369, DOI 10.1128/MMBR.00063-15
van Niel G, 2018, NAT REV MOL CELL BIO, V19, P213, DOI 10.1038/nrm.2017.125
Welsh JA, 2024, J EXTRACELL VESICLES, V13, DOI 10.1002/jev2.12404
Yokoyama F, 2024, LAB CHIP, V24, P2049, DOI 10.1039/d3lc00707c
Zhou L, 1998, FEMS MICROBIOL LETT, V163, P223, DOI 10.1016/S0378-1097(98)00147-5
Zhu LT, 2022, J EXTRACELL VESICLES, V11, DOI 10.1002/jev2.12292
NR 59
TC 0
Z9 0
PD MAY
PY 2025
VL 70
IS 5
BP 1315
EP 1328
DI 10.1002/lno.70031
EA MAR 2025
UT WOS:001446774300001
DA 2025-07-30
ER
PT J
AU Coutinho, FH
Silveira, CB
Gregoracci, GB
Thompson, CC
Edwards, RA
Brussaard, CPD
Dutilh, BE
Thompson, FL
AF Coutinho, Felipe H.
Silveira, Cynthia B.
Gregoracci, Gustavo B.
Thompson, Cristiane C.
Edwards, Robert A.
Brussaard, Corina P. D.
Dutilh, Bas E.
Thompson, Fabiano L.
TI Marine viruses discovered via metagenomics shed light on viral
strategies throughout the oceans
SO NATURE COMMUNICATIONS
DT Article
AB Marine viruses are key drivers of host diversity, population dynamics and biogeochemical cycling and contribute to the daily flux of billions of tons of organic matter. Despite recent advancements in metagenomics, much of their biodiversity remains uncharacterized. Here we report a data set of 27,346 marine virome contigs that includes 44 complete genomes. These outnumber all currently known phage genomes in marine habitats and include members of previously uncharacterized lineages. We designed a new method for host prediction based on co-occurrence associations that reveals these viruses infect dominant members of the marine microbiome such as Prochlorococcus and Pelagibacter. A negative association between host abundance and the virus-to-host ratio supports the recently proposed Piggyback-the-Winner model of reduced phage lysis at higher host densities. An analysis of the abundance patterns of viruses throughout the oceans revealed how marine viral communities adapt to various seasonal, temperature and photic regimes according to targeted hosts and the diversity of auxiliary metabolic genes.
C1 [Coutinho, Felipe H.; Silveira, Cynthia B.; Thompson, Cristiane C.; Dutilh, Bas E.; Thompson, Fabiano L.] Univ Fed Rio de Janeiro, IB, BR-21944970 Rio de Janeiro, Brazil.
[Coutinho, Felipe H.; Dutilh, Bas E.] Radboud Univ Nijmegen, Radboud Inst Mol Life Sci, CMBI, Med Ctr, NL-6500 HB Nijmegen, Netherlands.
[Coutinho, Felipe H.; Dutilh, Bas E.] Univ Utrecht, Theoret Biol & Bioinformat, NL-3584 CH Utrecht, Netherlands.
[Silveira, Cynthia B.; Edwards, Robert A.] San Diego State Univ, Dept Biol, San Diego, CA 92182 USA.
[Gregoracci, Gustavo B.] Univ Fed Sao Paulo UNIFESP, Dept Ciencias Mar, BR-11070100 Baixada Santista, Brazil.
[Brussaard, Corina P. D.] NIOZ Royal Netherlands Inst Sea Res, Dept Marine Microbiol & Biogeochem, POB 59, NL-1790 AB Den Burg, Netherlands.
[Brussaard, Corina P. D.] Univ Utrecht, POB 59, NL-1790 AB Den Burg, Netherlands.
[Brussaard, Corina P. D.] Univ Amsterdam, Dept Aquat Microbiol, IBED, NL-1090 GE Amsterdam, Netherlands.
[Thompson, Fabiano L.] Univ Fed Rio de Janeiro, COPPE, SAGE, BR-21941950 Rio de Janeiro, Brazil.
RP Thompson, FL (corresponding author), Univ Fed Rio de Janeiro, IB, BR-21944970 Rio de Janeiro, Brazil.; Thompson, FL (corresponding author), Univ Fed Rio de Janeiro, COPPE, SAGE, BR-21941950 Rio de Janeiro, Brazil.
EM fabianothompson1@gmail.com
CR de Crcer DA, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-989
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Alves N, 2015, ARCH MICROBIOL, V197, P165, DOI 10.1007/s00203-014-1035-6
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
[Anonymous], 2014, Bacteriophage, DOI DOI 10.4161/21597081.2014.979664
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Biswas A, 2013, RNA BIOL, V10, P817, DOI 10.4161/rna.24046
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brum JR, 2016, ISME J, V10, P437, DOI 10.1038/ismej.2015.125
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brussaard CPD, 2008, ISME J, V2, P575, DOI 10.1038/ismej.2008.31
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cassman N, 2012, ENVIRON MICROBIOL, V14, P3043, DOI 10.1111/j.1462-2920.2012.02891.x
Coutinho FH, 2015, PEERJ, V3, DOI 10.7717/peerj.1008
Danovaro R, 2011, FEMS MICROBIOL REV, V35, P993, DOI 10.1111/j.1574-6976.2010.00258.x
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dutilh BE, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5498
Edwards RA, 2016, FEMS MICROBIOL REV, V40, P258, DOI 10.1093/femsre/fuv048
Faruque SM, 2005, P NATL ACAD SCI USA, V102, P1702, DOI 10.1073/pnas.0408992102
Faust K, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002606
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Friedman J, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002687
Fu FX, 2007, J PHYCOL, V43, P485, DOI 10.1111/j.1529-8817.2007.00355.x
Fuhrman JA, 2003, BIOL BULL-US, V204, P192, DOI 10.2307/1543557
FULLER NJ, ENVIRON MICROBIOL, V7, P499, DOI DOI 10.1111/J.1462-2920.2004.00713.X
Gascuel O, 1997, MOL BIOL EVOL, V14, P685, DOI 10.1093/oxfordjournals.molbev.a025808
Gilbert JA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015545
Gregoracci G.B., 2015, PLOS ONE, V10, P1
Hurwitz BL, 2016, CURR OPIN MICROBIOL, V31, P161, DOI 10.1016/j.mib.2016.04.002
Hurwitz BL, 2015, ISME J, V9, P472, DOI 10.1038/ismej.2014.143
Hurwitz BL, 2014, P NATL ACAD SCI USA, V111, P10714, DOI 10.1073/pnas.1319778111
Hurwitz BL, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r123
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Krupovic M, 2016, ARCH VIROL, V161, P1095, DOI 10.1007/s00705-015-2728-0
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Letunic I, 2007, BIOINFORMATICS, V23, P127, DOI 10.1093/bioinformatics/btl529
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Minot S, 2013, P NATL ACAD SCI USA, V110, P12450, DOI 10.1073/pnas.1300833110
Mojica KDA, 2014, FEMS MICROBIOL ECOL, V89, P495, DOI 10.1111/1574-6941.12343
Mokili JL, 2012, CURR OPIN VIROL, V2, P63, DOI 10.1016/j.coviro.2011.12.004
Nagarajan N, 2013, NAT REV GENET, V14, P157, DOI 10.1038/nrg3367
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Nunoura T, 2015, P NATL ACAD SCI USA, V112, pE1230, DOI 10.1073/pnas.1421816112
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Puxty RJ, 2016, CURR BIOL, V26, P1585, DOI 10.1016/j.cub.2016.04.036
Qin JJ, 2010, NATURE, V464, P59, DOI 10.1038/nature08821
Reyesa A, 2015, P NATL ACAD SCI USA, V112, P11941, DOI 10.1073/pnas.1514285112
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rosenwasser S, 2016, TRENDS MICROBIOL, V24, P821, DOI 10.1016/j.tim.2016.06.006
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, ELIFE, V4, DOI 10.7554/eLife.08490
Roux S, 2011, BIOINFORMATICS, V27, P3074, DOI 10.1093/bioinformatics/btr519
Saito R, 2012, NAT METHODS, V9, P1069, DOI [10.1038/nmeth.2212, 10.1038/NMETH.2212]
Sandaa RA, 2006, APPL ENVIRON MICROB, V72, P4610, DOI 10.1128/AEM.00168-06
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Sharon I, 2011, ISME J, V5, P1178, DOI 10.1038/ismej.2011.2
Silva GGZ, 2014, PEERJ, V2, DOI 10.7717/peerj.425
Silveira CB, 2016, NPJ BIOFILMS MICROBI, V2, DOI 10.1038/npjbiofilms.2016.10
Solonenko SA, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-320
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Touchon M, 2016, ISME J, V10, P2744, DOI 10.1038/ismej.2016.47
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Weiss S, 2016, ISME J, V10, P1669, DOI 10.1038/ismej.2015.235
Wigington CH, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2015.24, 10.1038/NMICROBIOL.2015.24]
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Winter C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100600
NR 77
TC 176
Z9 194
PD JUL 5
PY 2017
VL 8
AR 15955
DI 10.1038/ncomms15955
UT WOS:000404780000001
DA 2025-07-30
ER
PT J
AU Chiriac, MC
Haber, M
Salcher, MM
AF Chiriac, Maria-Cecilia
Haber, Markus
Salcher, Michaela M.
TI Adaptive genetic traits in pelagic freshwater microbes
SO ENVIRONMENTAL MICROBIOLOGY
DT Review
AB Pelagic microbes have adopted distinct strategies to inhabit the pelagial of lakes and oceans and can be broadly categorized in two groups: free-living, specialized oligotrophs and patch-associated generalists or copiotrophs. In this review, we aim to identify genomic traits that enable pelagic freshwater microbes to thrive in their habitat. To do so, we discuss the main genetic differences of pelagic marine and freshwater microbes that are both dominated by specialized oligotrophs and the difference to freshwater sediment microbes, where copiotrophs are more prevalent. We phylogenomically analysed a collection of >7700 metagenome-assembled genomes, classified habitat preferences on different taxonomic levels, and compared the metabolic traits of pelagic freshwater, marine, and freshwater sediment microbes. Metabolic differences are mainly associated with transport functions, environmental information processing, components of the electron transport chain, osmoregulation and the isoelectric point of proteins. Several lineages with known habitat transitions (Nitrososphaeria, SAR11, Methylophilaceae, Synechococcales, Flavobacteriaceae, Planctomycetota) and the underlying mechanisms in this process are discussed in this review. Additionally, the distribution, ecology and genomic make-up of the most abundant freshwater prokaryotes are described in details in separate chapters for Actinobacteriota, Bacteroidota, Burkholderiales, Verrucomicrobiota, Chloroflexota, and 'Ca. Patescibacteria'.
C1 [Chiriac, Maria-Cecilia; Haber, Markus; Salcher, Michaela M.] Biol Ctr CAS, Inst Hydrobiol, Ceske Budejovice, Czech Republic.
[Salcher, Michaela M.] Biol Ctr CAS, Inst Hydrobiol, NaSadkach 7, Ceske Budejovice 37005, Czech Republic.
RP Salcher, MM (corresponding author), Biol Ctr CAS, Inst Hydrobiol, NaSadkach 7, Ceske Budejovice 37005, Czech Republic.
EM michaelasalcher@gmail.com
CR Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Anantharaman K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13219
Andrei AS, 2019, ISME J, V13, P1056, DOI 10.1038/s41396-018-0332-5
Antón J, 2002, INT J SYST EVOL MICR, V52, P485, DOI 10.1099/00207713-52-2-485
Arnds J, 2010, SYST APPL MICROBIOL, V33, P139, DOI 10.1016/j.syapm.2009.12.005
Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Aylward FO, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00415-20
Baek K, 2019, INT J SYST EVOL MICR, V69, P552, DOI 10.1099/ijsem.0.003198
Banda DM, 2020, NAT PLANTS, V6, P1158, DOI 10.1038/s41477-020-00762-4
Bardavid RE, 2012, EXTREMOPHILES, V16, P787, DOI 10.1007/s00792-012-0476-6
Bashenkhaeva MV, 2020, J GREAT LAKES RES, V46, P508, DOI 10.1016/j.jglr.2020.03.015
Bashenkhaeva MV, 2015, MICROB ECOL, V70, P751, DOI 10.1007/s00248-015-0619-2
Becker S, 2020, P NATL ACAD SCI USA, V117, P6599, DOI 10.1073/pnas.1917001117
Beier S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00149
Beier S, 2011, LIMNOL OCEANOGR, V56, P1179, DOI 10.4319/lo.2011.56.4.1179
Beisser D, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01498
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Ben Francis T, 2021, ISME J, V15, P2336, DOI 10.1038/s41396-021-00928-8
Bertilsson S, 2000, LIMNOL OCEANOGR, V45, P753, DOI 10.4319/lo.2000.45.4.0753
Bienert GP, 2014, BBA-GEN SUBJECTS, V1840, P1596, DOI 10.1016/j.bbagen.2013.09.017
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Bizic-Ionescu M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113611
Blindauer CA, 2008, CHEM BIODIVERS, V5, P1990, DOI 10.1002/cbdv.200890183
Blount P, 2020, MICROBIOL MOL BIOL R, V84, DOI 10.1128/MMBR.00055-19
Boenigk J, 2004, APPL ENVIRON MICROB, V70, P5787, DOI 10.1128/AEM.70.10.5787-5793.2004
Bogard MJ, 2012, FRESHWATER BIOL, V57, P1277, DOI 10.1111/j.1365-2427.2012.02775.x
Bor B, 2020, J DENT RES, V99, P685, DOI 10.1177/0022034520905792
Borisov VB, 2011, BBA-BIOENERGETICS, V1807, P1398, DOI 10.1016/j.bbabio.2011.06.016
Boscaro V, 2022, CURR BIOL, V32, pR826, DOI 10.1016/j.cub.2022.06.052
Boscaro V, 2017, NAT ECOL EVOL, V1, P1160, DOI 10.1038/s41559-017-0237-0
Boscaro V, 2013, P NATL ACAD SCI USA, V110, P18590, DOI 10.1073/pnas.1316687110
Bowman J.P., 2006, MARINE CLADE FAMILY, P677
BOYD D, 1990, CELL, V62, P1031, DOI 10.1016/0092-8674(90)90378-R
Brown CT, 2015, NATURE, V523, P208, DOI 10.1038/nature14486
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buck M, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-00910-1
Bulzu PA, 2021, MSPHERE, V6, DOI 10.1128/mSphere.00661-21
Cabello-Yeves PJ, 2022, BMC BIOL, V20, DOI 10.1186/s12915-022-01379-z
Cabello-Yeves PJ, 2022, ISME J, V16, P2421, DOI 10.1038/s41396-022-01282-z
Cabello-Yeves PJ, 2020, LIMNOL OCEANOGR, V65, P1471, DOI 10.1002/lno.11401
Cabello-Yeves PJ, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0731-5
Cabello-Yeves PJ, 2018, ENVIRON MICROBIOL, V20, P3757, DOI 10.1111/1462-2920.14377
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02131
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01151
Callieri C, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10030546
Callieri C, 2017, FEMS MICROBIOL LETT, V364, DOI 10.1093/femsle/fnx229
Callieri C, 2016, AQUAT SCI, V78, P215, DOI 10.1007/s00027-015-0418-3
Carrieri D, 2011, BIORESOURCE TECHNOL, V102, P8368, DOI 10.1016/j.biortech.2011.03.103
Castelle CJ, 2018, NAT REV MICROBIOL, V16, P629, DOI 10.1038/s41579-018-0076-2
Castelle CJ, 2018, CELL, V172, P1181, DOI 10.1016/j.cell.2018.02.016
Castelle CJ, 2017, SCI REP-UK, V7, DOI 10.1038/srep40101
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Chazan A, 2022, ENVIRON MICROBIOL, V24, P110, DOI 10.1111/1462-2920.15890
Chen MY, 2021, ISME J, V15, P211, DOI 10.1038/s41396-020-00775-z
Chhetri G, 2021, INT J SYST EVOL MICR, V71, DOI 10.1099/ijsem.0.004957
Chiang E, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0195112
Chiriac MC, 2022, MICROBIOME, V10, DOI 10.1186/s40168-022-01274-3
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Cho BC, 2018, BMC GENOMICS, V19, DOI 10.1186/s12864-018-5019-9
Chrismas NAM, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy032
Cross KL, 2019, NAT BIOTECHNOL, V37, P1314, DOI 10.1038/s41587-019-0260-6
Danczak RE, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0331-1
Decho AW, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00922
Denef VJ, 2016, APPL ENVIRON MICROB, V82, P1423, DOI 10.1128/AEM.03014-15
Dixon JL, 2011, ISME J, V5, P704, DOI 10.1038/ismej.2010.169
Dwulit-Smith JR, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01678-18
Eckert EM, 2012, ENVIRON MICROBIOL, V14, P794, DOI 10.1111/j.1462-2920.2011.02639.x
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Ekwe AP, 2018, INT J SYST EVOL MICR, V68, P93, DOI 10.1099/ijsem.0.002463
EPSTEIN W, 1986, FEMS MICROBIOL LETT, V39, P73
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Flores-Uribe J, 2019, ENV MICROBIOL REP, V11, P419, DOI 10.1111/1758-2229.12730
Foerstner KU, 2005, EMBO REP, V6, P1208, DOI 10.1038/sj.embor.7400538
Forterre P, 2010, P NATL ACAD SCI USA, V107, P12739, DOI 10.1073/pnas.1007720107
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Fuerst JA, 2011, NAT REV MICROBIOL, V9, P403, DOI 10.1038/nrmicro2578
Fukui Y, 2013, INT J SYST EVOL MICR, V63, P1665, DOI 10.1099/ijs.0.041434-0
Garcia SL, 2018, MSPHERE, V3, DOI 10.1128/mSphere.00202-18
Garcia SL, 2013, ISME J, V7, P137, DOI 10.1038/ismej.2012.86
García-López M, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02083
Getz EW, 2018, MBIO, V9, DOI 10.1128/mBio.01089-18
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Ghai R, 2012, ENV MICROBIOL REP, V4, P29, DOI 10.1111/j.1758-2229.2011.00274.x
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gong J, 2014, SYST APPL MICROBIOL, V37, P35, DOI 10.1016/j.syapm.2013.08.007
Grossart HP, 1997, LIMNOL OCEANOGR, V42, P1651, DOI 10.4319/lo.1997.42.8.1651
Grujcic V, 2018, ISME J, V12, P1668, DOI 10.1038/s41396-018-0057-5
Haber M, 2021, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.622824
Hahn M.W., 2019, BERGEYS MANUAL SYSTE, P1
Hahn MW, 2022, INT J SYST EVOL MICR, V72, DOI 10.1099/ijsem.0.005513
Hahn MW, 2022, INT J SYST EVOL MICR, V72, DOI 10.1099/ijsem.0.005408
Hahn MW, 2021, INT J SYST EVOL MICR, V71, DOI 10.1099/ijsem.0.004975
Hahn MW, 2021, MOL ECOL RESOUR, V21, P2471, DOI 10.1111/1755-0998.13444
Hahn MW, 2016, ISME J, V10, P1642, DOI 10.1038/ismej.2015.237
Hahn MW, 2014, INT J SYST EVOL MICR, V64, P3254, DOI 10.1099/ijs.0.065292-0
Hahn MW, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032772
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P2946, DOI 10.1099/ijs.0.022384-0
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P166, DOI 10.1099/ijs.0.010595-0
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P1358, DOI 10.1099/ijs.0.013292-0
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P112, DOI 10.1099/ijs.0.001743-0
Hahn MW, 2005, APPL ENVIRON MICROB, V71, P766, DOI 10.1128/AEM.71.2.766-773.2005
Hahn MW, 2004, J MICROBIOL METH, V57, P379, DOI 10.1016/j.mimet.2004.02.004
Hamilton JJ, 2017, MSYSTEMS, V2, DOI 10.1128/mSystems.00091-17
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
He SM, 2017, MSPHERE, V2, DOI 10.1128/mSphere.00277-17
He XS, 2015, P NATL ACAD SCI USA, V112, P244, DOI 10.1073/pnas.1419038112
HECKMANN K, 1987, INT J SYST BACTERIOL, V37, P456, DOI 10.1099/00207713-37-4-456
HECKY RE, 1988, LIMNOL OCEANOGR, V33, P796, DOI 10.4319/lo.1988.33.4_part_2.0796
Hedlund B.P., 2011, BERGEYS MANUAL SYSTE, V4, P795
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Hempel PP, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.739005
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hoetzinger M, 2021, GENOME BIOL EVOL, V13, DOI 10.1093/gbe/evab019
Hoetzinger M, 2019, INT J SYST EVOL MICR, V69, P203, DOI 10.1099/ijsem.0.003130
Hoetzinger M, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-4199-z
Hoetzinger M, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02266-16
HOWARTH RW, 1988, ANNU REV ECOL SYST, V19, P89, DOI 10.1146/annurev.es.19.110188.000513
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Huisman J, 2018, NAT REV MICROBIOL, V16, P471, DOI 10.1038/s41579-018-0040-1
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Islam ZF, 2019, ISME J, V13, P1801, DOI 10.1038/s41396-019-0393-0
Jaffe AL, 2022, ISME J, V16, P2056, DOI 10.1038/s41396-022-01231-w
Jaffe AL, 2021, MBIO, V12, DOI 10.1128/mBio.00521-21
Jeske O, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8116
Jezbera J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058527
Jezberová J, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.01530-17
Jezberová J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068542
Jimenez-Infante F, 2016, APPL ENVIRON MICROB, V82, P1215, DOI 10.1128/AEM.02852-15
Julenius K, 2006, MOL BIOL EVOL, V23, P2039, DOI 10.1093/molbev/msl081
Jung H, 2012, FRONT BIOSCI-LANDMRK, V17, P745, DOI 10.2741/3955
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kang I, 2017, SCI REP-UK, V7, DOI 10.1038/srep42252
Kang I, 2012, J BACTERIOL, V194, P3550, DOI 10.1128/JB.00586-12
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kartal B, 2013, FEMS MICROBIOL REV, V37, P428, DOI 10.1111/1574-6976.12014
Kasalicky V, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02116-17
Kasalicky V, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058209
Kasalicky V, 2010, INT J SYST EVOL MICR, V60, P2710, DOI 10.1099/ijs.0.018952-0
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kavagutti VS, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0752-0
Kehoe DM, 2006, ANNU REV PLANT BIOL, V57, P127, DOI 10.1146/annurev.arplant.57.032905.105215
Kim H, 2019, INT J SYST EVOL MICR, V69, P3574, DOI 10.1099/ijsem.0.003664
Kim H, 2019, ANTON LEEUW INT J G, V112, P1699, DOI 10.1007/s10482-019-01297-1
Kim S, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2102750118
Kim S, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.700637
Kim S, 2020, J MICROBIOL, V58, P893, DOI 10.1007/s12275-020-0452-2
Kirchman DL, 2013, ENV MICROBIOL REP, V5, P188, DOI 10.1111/j.1758-2229.2012.00367.x
Kirsch F, 2014, BIOMETALS, V27, P653, DOI 10.1007/s10534-014-9738-3
Klotz F, 2022, ISME J, V16, P1647, DOI 10.1038/s41396-022-01216-9
Kobras CM, 2021, GENOME BIOL, V22, DOI 10.1186/s13059-021-02344-9
Koch AL, 2001, BIOESSAYS, V23, P657, DOI 10.1002/bies.1091
Kopejtka K, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.01044-20
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lapébie P, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10068-5
LAUDENBACH DE, 1991, J BACTERIOL, V173, P2739, DOI 10.1128/JB.173.9.2739-2750.1991
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lee KY, 2012, PROG POLYM SCI, V37, P106, DOI 10.1016/j.progpolymsci.2011.06.003
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Levin I., 2013, LATERAL GENE TRANSFE
Levina N, 1999, EMBO J, V18, P1730, DOI 10.1093/emboj/18.7.1730
Lewis WH, 2021, NAT REV MICROBIOL, V19, P225, DOI 10.1038/s41579-020-00458-8
Linz AM, 2018, PEERJ, V6, DOI 10.7717/peerj.6075
Lipko IA, 2021, CONTEMP PROBL ECOL+, V14, P158, DOI 10.1134/S1995425521020074
Livermore JA, 2014, ENVIRON MICROBIOL, V16, P746, DOI 10.1111/1462-2920.12199
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
Lorenz MC, 2002, EUKARYOT CELL, V1, P657, DOI 10.1128/EC.1.5.657-662.2002
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Luo HW, 2016, ENV MICROBIOL REP, V8, P501, DOI 10.1111/1758-2229.12417
Luo HW, 2015, TRENDS MICROBIOL, V23, P577, DOI 10.1016/j.tim.2015.05.004
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Luo HW, 2014, ISME J, V8, P732, DOI 10.1038/ismej.2013.202
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
MacArthur R. H., 1967, The theory of island biogeography
Madern D, 2000, EXTREMOPHILES, V4, P91, DOI 10.1007/s007920050142
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martinez-Garcia M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035314
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
McParland EL, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.689306
Mehrshad M, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0563-8
Mehrshad M, 2018, ISME J, V12, P655, DOI 10.1038/s41396-017-0009-5
Mehrshad M, 2016, APPL ENVIRON MICROB, V82, P1599, DOI 10.1128/AEM.03381-15
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Moreira D, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22762-4
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Munoz R, 2020, SYST APPL MICROBIOL, V43, DOI 10.1016/j.syapm.2020.126065
Nakai R, 2015, INT J SYST EVOL MICR, V65, P4072, DOI 10.1099/ijsem.0.000541
Nelson WC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00713
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Neuenschwander SM, 2015, ENVIRON MICROBIOL, V17, P781, DOI 10.1111/1462-2920.12520
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Ngugi DK, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adc9392
Oh SD, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01137-14
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Okazaki Y, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.00433-22
Okazaki Y, 2021, MICROBIOME, V9, DOI 10.1186/s40168-020-00974-y
Okazaki Y, 2019, ENVIRON MICROBIOL, V21, P4740, DOI 10.1111/1462-2920.14816
Okazaki Y, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02891
Okazaki Y, 2017, ISME J, V11, P2279, DOI 10.1038/ismej.2017.89
Okazaki Y, 2013, FEMS MICROBIOL ECOL, V83, P82, DOI 10.1111/j.1574-6941.2012.01451.x
Oton EV, 2016, ISME J, V10, P85, DOI 10.1038/ismej.2015.101
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Parks DH, 2022, NUCLEIC ACIDS RES, V50, pD785, DOI 10.1093/nar/gkab776
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Parte AC, 2020, INT J SYST EVOL MICR, V70, P5607, DOI 10.1099/ijsem.0.004332
Parveen B, 2013, FEMS MICROBIOL ECOL, V83, P189, DOI 10.1111/j.1574-6941.2012.01469.x
Perez-Riverol Y, 2012, J PROTEOMICS, V75, P2269, DOI 10.1016/j.jprot.2012.01.029
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pester M, 2011, CURR OPIN MICROBIOL, V14, P300, DOI 10.1016/j.mib.2011.04.007
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Pitt A, 2021, INT J SYST EVOL MICR, V71, DOI 10.1099/ijsem.0.004825
Pitt A, 2020, INT J SYST EVOL MICR, V70, P4602, DOI 10.1099/ijsem.0.004319
Pitt A, 2020, INT J SYST EVOL MICR, V70, P1830, DOI 10.1099/ijsem.0.003980
Pitt A, 2019, INT J SYST EVOL MICR, V69, P3946, DOI 10.1099/ijsem.0.003720
Pitt A, 2019, INT J SYST EVOL MICR, V69, P2739, DOI 10.1099/ijsem.0.003554
Pivetti CD, 2003, MICROBIOL MOL BIOL R, V67, P66, DOI 10.1128/MMBR.67.1.66-85.2003
Probst AJ, 2018, NAT MICROBIOL, V3, P328, DOI 10.1038/s41564-017-0098-y
Probst AJ, 2017, ENVIRON MICROBIOL, V19, P459, DOI 10.1111/1462-2920.13362
Props R, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00140-20
Props R, 2019, MSPHERE, V4, DOI 10.1128/mSphereDirect.00011-19
Pushkarev A, 2018, NATURE, V558, P595, DOI 10.1038/s41586-018-0225-9
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rabalais NN, 2002, AMBIO, V31, P102, DOI 10.1579/0044-7447-31.2.102
Ramachandran A, 2021, MBIO, V12, DOI 10.1128/mBio.01306-21
Ravin NV, 2018, APPL ENVIRON MICROB, V84, DOI [10.1128/AEM.02645-17, 10.1128/aem.02645-17]
REISTAD R, 1970, ARCH MIKROBIOL, V71, P353, DOI 10.1007/BF00417131
Ren ML, 2022, ISME J, V16, P1491, DOI 10.1038/s41396-022-01199-7
Roberts MF, 2004, FRONT BIOSCI-LANDMRK, V9, P1999, DOI 10.2741/1366
Rodriguez-R LM, 2020, ENVIRON MICROBIOL, V22, P3394, DOI 10.1111/1462-2920.15112
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2008, ENVIRON MICROBIOL, V10, P2074, DOI 10.1111/j.1462-2920.2008.01628.x
Salcher MM, 2019, ISME J, V13, P2764, DOI 10.1038/s41396-019-0471-3
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Salcher MM, 2014, J LIMNOL, V73, P74, DOI 10.4081/jlimnol.2014.813
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Salka I, 2014, ENVIRON MICROBIOL, V16, P586, DOI 10.1111/1462-2920.12185
Salmaso N, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02257
Sánchez-Baracaldo P, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00045
Sánchez-Baracaldo P, 2015, SCI REP-UK, V5, DOI 10.1038/srep17418
Sangwan N, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00003-16
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwartz R, 2001, GENOME RES, V11, P703, DOI 10.1101/gr.GR-1587R
Shabarova T, 2021, NAT MICROBIOL, V6, P479, DOI 10.1038/s41564-020-00852-1
Shabarova T, 2017, ENVIRON MICROBIOL, V19, P1296, DOI 10.1111/1462-2920.13663
Sharma AK, 2009, ISME J, V3, P726, DOI 10.1038/ismej.2009.13
Shin SK, 2017, INT J SYST EVOL MICR, V67, P153, DOI 10.1099/ijsem.0.001594
Shiratori T, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13499-2
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Simek K, 2001, APPL ENVIRON MICROB, V67, P2723, DOI 10.1128/AEM.67.6.2723-2733.2001
Simek K, 2018, LIMNOL OCEANOGR, V63, P484, DOI 10.1002/lno.10759
Simek K, 2014, LIMNOL OCEANOGR, V59, P1477, DOI 10.4319/lo.2014.59.5.1477
Simek K, 2013, ISME J, V7, P1519, DOI 10.1038/ismej.2013.57
Simek K, 2010, APPL ENVIRON MICROB, V76, P631, DOI 10.1128/AEM.02203-09
Siuda W, 2015, POL J ECOL, V63, P110, DOI 10.3161/15052249PJE2015.63.1.010
Sizikov S, 2020, ENVIRON MICROBIOL, V22, P4669, DOI 10.1111/1462-2920.15210
Sleator RD, 2002, FEMS MICROBIOL REV, V26, P49, DOI 10.1111/j.1574-6976.2002.tb00598.x
Småge SB, 2016, ANTON LEEUW INT J G, V109, P273, DOI 10.1007/s10482-015-0630-0
Spang A, 2015, NATURE, V521, P173, DOI 10.1038/nature14447
Srivastava A, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.544785
Sryrvold O.B., 1991, J BACTERIOL, V173, P1187
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sutak R, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.566691
Sutter M, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24126-4
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tanghe A, 2006, TRENDS MICROBIOL, V14, P78, DOI 10.1016/j.tim.2005.12.001
Tarao M, 2009, APPL ENVIRON MICROB, V75, P4720, DOI 10.1128/AEM.00251-09
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tokmakov AA, 2021, FRONT MOL BIOSCI, V8, DOI 10.3389/fmolb.2021.775736
Tolar BB, 2017, ENVIRON MICROBIOL, V19, P4838, DOI 10.1111/1462-2920.13457
Tran P, 2018, ENVIRON MICROBIOL, V20, P2568, DOI 10.1111/1462-2920.14283
Tran PQ, 2021, ISME J, V15, P1971, DOI 10.1038/s41396-021-00898-x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tsementzi D, 2019, SYST APPL MICROBIOL, V42, P495, DOI 10.1016/j.syapm.2019.03.007
Tsementzi D, 2014, ENV MICROBIOL REP, V6, P640, DOI 10.1111/1758-2229.12180
Tsuji JM, 2020, bioRxiv, DOI [10.1101/2020.07.07.190934, 10.1101/2020.07.07.190934, DOI 10.1101/2020.07.07.190934]
Van Trappen S, 2004, INT J SYST EVOL MICR, V54, P1263, DOI 10.1099/ijs.0.03006-0
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vigneron A, 2020, LIMNOL OCEANOGR LETT, V5, P212, DOI 10.1002/lol2.10132
Voragen AGJ, 2009, STRUCT CHEM, V20, P263, DOI 10.1007/s11224-009-9442-z
Vorholt JA, 2012, NAT REV MICROBIOL, V10, P828, DOI 10.1038/nrmicro2910
Wagner DD, 2012, BMC GENOMICS, V13, DOI [10.1186/1471-2164-13-200, 10.1186/1471-2164-13-327]
Walsh D.A., 2013, LATERAL GENE TRANSFE, P55
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
West-Roberts J.A., bioRxiv, DOI [10.1101/2021.08.23.457424, DOI 10.1101/2021.08.23.457424]
Wetzel R.G., 2001, Lake and river ecosystems
WHATMORE AM, 1990, J GEN MICROBIOL, V136, P2527, DOI 10.1099/00221287-136-12-2527
Widderich N, 2016, ENVIRON MICROBIOL, V18, P1227, DOI 10.1111/1462-2920.13156
Wiegand S, 2020, NAT MICROBIOL, V5, P126, DOI 10.1038/s41564-019-0588-1
Wiegand S, 2018, FEMS MICROBIOL REV, V42, P739, DOI 10.1093/femsre/fuy029
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Wood JM, 2001, COMP BIOCHEM PHYS A, V130, P437, DOI 10.1016/S1095-6433(01)00442-1
Wu B, 2007, CELL MOL LIFE SCI, V64, P2413, DOI 10.1007/s00018-007-7163-2
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
Yakimov MM, 2022, ENVIRON MICROBIOL, V24, P30, DOI 10.1111/1462-2920.15823
Yancey Paul H., 2004, Science Progress, V87, P1, DOI 10.3184/003685004783238599
YANCEY PH, 1982, SCIENCE, V217, P1214, DOI 10.1126/science.7112124
Yoch DC, 2002, APPL ENVIRON MICROB, V68, P5804, DOI 10.1128/AEM.68.12.5804-5815.2002
Yoon JH, 2006, INT J SYST EVOL MICR, V56, P997, DOI 10.1099/ijs.0.64119-0
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Yoshihara S, 2004, PLANT CELL PHYSIOL, V45, P1729, DOI 10.1093/pcp/pch214
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zeder M, 2009, ENVIRON MICROBIOL, V11, P2676, DOI 10.1111/j.1462-2920.2009.01994.x
Zeng YH, 2020, MBIO, V11, DOI 10.1128/mBio.02641-20
Zeng YH, 2012, J BACTERIOL, V194, P6302, DOI 10.1128/JB.01481-12
Zhang H, 2019, ENVIRON MICROBIOL, V21, P648, DOI 10.1111/1462-2920.14509
Zheng Y, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00893
NR 325
TC 28
Z9 30
PD MAR
PY 2023
VL 25
IS 3
BP 606
EP 641
DI 10.1111/1462-2920.16313
EA DEC 2022
UT WOS:000905443900001
DA 2025-07-30
ER
PT J
AU Teira, E
Martínez-García, S
Calvo-Diaz, A
Morán, XAG
AF Teira, Eva
Martinez-Garcia, Sandra
Calvo-Diaz, Alejandra
Moran, Xose Anxelu G.
TI Effects of inorganic and organic nutrient inputs on bacterioplankton
community composition along a latitudinal transect in the Atlantic Ocean
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Bacterioplankton are responsible for a large fraction of respiration and dissolved organic matter (DOM) remineralisation in the ocean; therefore, changes in their taxonomic composition due to changes in nutrient inputs may have important biogeochemical implications. The impact of nutrient loading will depend on the type of input and the initial environmental conditions. We conducted a set of 5 microcosm experiments along a broad latitudinal transect in the Atlantic Ocean (26 degrees N to 29 degrees S) in order to assess the effects of inorganic (nitrate, ammonium, phosphate, silica) and organic (glucose, amino acids) inputs, added separately as well as jointly, on the bacterioplankton community composition at the level of major groups. We followed changes in the relative abundance of important bacterial phylogenetic (Roseobacter spp., SAR11, Gammaproteobacteria, Bacteroidetes) and cytometric (low, high and very high nucleic acid content) groups. We observed that distinct groups responded differently to nutrient additions: SAR11 and Bacteroidetes responded negatively to organic and mixed additions, while Roseobacter spp. and Gammaproteobacteria responded positively. Only the group Roseobacter spp. responded positively to inorganic additions. The abundance of very high nucleic acid content bacteria was low in the control and the inorganic treatment; however, they reached very high numbers in the organic and mixed treatments. There was a clear increasing north to south gradient in the magnitude of response of Gammaproteobacteria to organic inputs (containing carbon and nitrogen), likely related to an increasing north to south gradient in phosphate concentration. The magnitude of response of Gammaproteobacteria explained 89% of the observed variability in the magnitude of bacterial production response, which suggests a strong link between bacterial community composition and carbon cycling in the oligotrophic ocean.
C1 [Teira, Eva; Martinez-Garcia, Sandra] Univ Vigo, Fac Ciencias, Dept Ecol & Biol Anim, Vigo 36310, Spain.
[Calvo-Diaz, Alejandra; Moran, Xose Anxelu G.] Ctr Oceanog Xixon, Inst Espanol Oceanog, Xixon 33212, Spain.
RP Teira, E (corresponding author), Univ Vigo, Fac Ciencias, Dept Ecol & Biol Anim, Campus Lagoas Marcosende, Vigo 36310, Spain.
EM teira@uvigo.es
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Gutiérrez J, 2009, FEMS MICROBIOL ECOL, V70, P493, DOI 10.1111/j.1574-6941.2009.00766.x
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Alonso-Sáez L, 2009, J PLANKTON RES, V31, P1373, DOI 10.1093/plankt/fbp081
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], 1993, DESIGN ANAL ECOLOGIC, DOI DOI 10.1201/9781003059813
Baker AR, 2007, DEEP-SEA RES PT I, V54, P1704, DOI 10.1016/j.dsr.2007.07.001
Baker AR, 2006, DEEP-SEA RES PT II, V53, P1706, DOI 10.1016/j.dsr2.2006.05.012
Baker AR, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL018518
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
Bertilsson S, 2007, ISME J, V1, P532, DOI 10.1038/ismej.2007.64
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
Cornell SE, 2003, ATMOS ENVIRON, V37, P2173, DOI 10.1016/S1352-2310(03)00133-X
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Davidson K, 2007, LIMNOL OCEANOGR, V52, P2147, DOI 10.4319/lo.2007.52.5.2147
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Duce RA, 2008, SCIENCE, V320, P893, DOI 10.1126/science.1150369
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fernández C, 2008, J MARINE SYST, V71, P46, DOI 10.1016/j.jmarsys.2007.06.003
Frette L, 2004, INT MICROBIOL, V7, P219
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC, V2nd, P45, DOI DOI 10.1002/9780470281840.CH3
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galloway JN, 2004, BIOGEOCHEMISTRY, V70, P153, DOI 10.1007/s10533-004-0370-0
Green JL, 2008, SCIENCE, V320, P1039, DOI 10.1126/science.1153475
Gundersen K, 2002, LIMNOL OCEANOGR, V47, P1525, DOI 10.4319/lo.2002.47.5.1525
Hasegawa T, 2005, AQUAT MICROB ECOL, V41, P125, DOI 10.3354/ame041125
Höfle MG, 2008, AQUAT MICROB ECOL, V53, P39, DOI 10.3354/ame01227
Hornák K, 2006, AQUAT MICROB ECOL, V45, P277, DOI 10.3354/ame045277
Jacquet S, 2002, MAR ECOL PROG SER, V228, P3, DOI 10.3354/meps228003
Jickells T, 2006, BIOGEOSCIENCES, V3, P271, DOI 10.5194/bg-3-271-2006
Jurado E, 2008, ATMOS ENVIRON, V42, P7931, DOI 10.1016/j.atmosenv.2008.07.029
Kerouel R, 1997, MAR CHEM, V57, P265, DOI 10.1016/S0304-4203(97)00040-6
Kirchman DL, 2000, LIMNOL OCEANOGR, V45, P1681, DOI 10.4319/lo.2000.45.8.1681
KIRCHMAN DL, 1990, MAR ECOL PROG SER, V62, P47, DOI 10.3354/meps062047
Kirchman DL., 2004, OCEAN CARBON CYCLE C, P31, DOI DOI 10.1007/978-1-4020-2087-2_2
Mace KA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002997
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Martínez-García S, 2010, BIOGEOSCIENCES, V7, P1701, DOI 10.5194/bg-7-1701-2010
Martínez-García S, 2009, LIMNOL OCEANOGR-METH, V7, P459, DOI 10.4319/lom.2009.7.459
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
Mather RL, 2008, NAT GEOSCI, V1, P439, DOI 10.1038/ngeo232
Mills MM, 2008, LIMNOL OCEANOGR, V53, P824, DOI 10.4319/lo.2008.53.2.0824
Mills MM, 2004, NATURE, V429, P292, DOI 10.1038/nature02550
Moore CM, 2008, LIMNOL OCEANOGR, V53, P291, DOI 10.4319/lo.2008.53.1.0291
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nishimura Y, 2005, APPL ENVIRON MICROB, V71, P5828, DOI 10.1128/AEM.71.10.5828-5836.2005
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Pulido-Villena E, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003091
RAIMBAULT P, 1990, MAR BIOL, V104, P347, DOI 10.1007/BF01313277
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Seitzinger SP, 1999, LIMNOL OCEANOGR, V44, P721, DOI 10.4319/lo.1999.44.3.0721
Sipura J, 2005, J PLANKTON RES, V27, P1261, DOI 10.1093/plankt/fbi092
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Treguer P., 1975, MANUEL ANAL SELS NUT, V2nd ed.
Van Wambeke F, 2008, BIOGEOSCIENCES, V5, P157, DOI 10.5194/bg-5-157-2008
NR 75
TC 25
Z9 26
PY 2010
VL 60
IS 3
BP 299
EP 313
DI 10.3354/ame01435
UT WOS:000280768400008
DA 2025-07-30
ER
PT J
AU Teira, E
Logares, R
Gutiérrez-Barral, A
Ferrera, I
Varela, MM
Morán, XAG
Gasol, JM
AF Teira, Eva
Logares, Ramiro
Gutierrez-Barral, Alberto
Ferrera, Isabel
Varela, Marta M.
Moran, Xose Anxelu G.
Gasol, Josep M.
TI Impact of grazing, resource availability and light on prokaryotic growth
and diversity in the oligotrophic surface global ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The impact of grazing, resource competition and light on prokaryotic growth and taxonomic composition in subtropical and tropical surface waters were studied through 10 microcosm experiments conducted between 30 degrees N and 30 degrees S in the Atlantic, Pacific and Indian oceans. Under natural sunlight conditions, significant changes in taxonomic composition were only observed after the reduction of grazing by sample filtration in combination with a decrease in resource competition by sample dilution. Sunlight exposure significantly reduced prokaryote growth (11 +/- 6%) and community richness (14 +/- 4%) compared to continuous darkness but did not significantly change community composition. The largest growth inhibition after sunlight exposure occurred at locations showing deep mixed layers. The reduction of grazing had an expected and significant positive effect on growth, but caused a significant decrease in community richness (16 +/- 6%), suggesting that the coexistence of many different OTUs is partly promoted by the presence of predators. Dilution of the grazer-free prokaryotic community significantly enhanced growth at the level of community, but consistently and sharply reduced the abundance of Prochlorococcus and SAR11 populations. The decline of these oligotrophic bacterial taxa following an increase in resource availability is consistent with their high specialization for exploiting the limited resources available in the oligotrophic warm ocean.
C1 [Teira, Eva; Gutierrez-Barral, Alberto] Univ Vigo, Dept Ecol & Biol Anim, Vigo, Spain.
[Logares, Ramiro; Ferrera, Isabel; Gasol, Josep M.] CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, Barcelona, Catalonia, Spain.
[Ferrera, Isabel] Ctr Oceanog Malaga, Inst Espanol Oceanog, Fuengirola, Spain.
[Varela, Marta M.] Ctr Oceanog A Coruna, Inst Espanol Oceanog, La Coruna, Spain.
[Moran, Xose Anxelu G.] King Abdullah Univ Sci & Technol, Div Biol & Environm Sci & Engn, Red Sea Res Ctr, Thuwal, Saudi Arabia.
[Gasol, Josep M.] Edith Cowan Univ, Ctr Marine Ecosyst Res, Joondalup, WA, Australia.
RP Teira, E (corresponding author), Univ Vigo, Dept Ecol & Biol Anim, Vigo, Spain.
EM teira@uvigo.es
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Aylward FO, 2013, APPL ENVIRON MICROB, V79, P3724, DOI 10.1128/AEM.00518-13
Baltar F, 2016, ISME J, V10, P568, DOI 10.1038/ismej.2015.135
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Benjamini Y, 2001, ANN STAT, V29, P1165
Bertoni R, 2011, AQUAT SCI, V73, P377, DOI 10.1007/s00027-011-0185-8
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Cabello AM, 2016, ISME J, V10, P693, DOI 10.1038/ismej.2015.147
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Calvo-Díaz A, 2011, APPL ENVIRON MICROB, V77, P5739, DOI 10.1128/AEM.00066-11
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Caron DA, 2000, AQUAT MICROB ECOL, V22, P175, DOI 10.3354/ame022175
Corno G, 2008, ENVIRON MICROBIOL, V10, P2857, DOI 10.1111/j.1462-2920.2008.01713.x
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Cram JA, 2016, LIMNOL OCEANOGR, V61, P889, DOI 10.1002/lno.10259
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Muñoz-Marín MD, 2013, P NATL ACAD SCI USA, V110, P8597, DOI 10.1073/pnas.1221775110
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Estrada M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0151699
Fernandes AD, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-15
Fernández-Castro B, 2014, DEEP-SEA RES PT I, V94, P15, DOI 10.1016/j.dsr.2014.08.006
Ferrera I, 2017, ISME J, V11, P2391, DOI 10.1038/ismej.2017.79
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Fuhrman JA, 1995, LIMNOL OCEANOGR, V40, P1236, DOI 10.4319/lo.1995.40.7.1236
Galí M, 2013, BIOGEOSCIENCES, V10, P7983, DOI 10.5194/bg-10-7983-2013
Gasol JM, 2002, ANTON LEEUW INT J G, V81, P435, DOI 10.1023/A:1020578418898
Gasol JM, 1999, AQUAT MICROB ECOL, V16, P251, DOI 10.3354/ame016251
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gloor GB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02224
Gomes A, 2015, DEEP-SEA RES PT I, V96, P59, DOI 10.1016/j.dsr.2014.11.007
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
GOOD IJ, 1982, J STAT COMPUT SIM, V16, P65, DOI 10.1080/00949658208810607
Gundersen K, 2002, LIMNOL OCEANOGR, V47, P1525, DOI 10.4319/lo.2002.47.5.1525
Hale MS, 2017, PROG OCEANOGR, V158, P90, DOI 10.1016/j.pocean.2016.11.007
Hogle SL, 2016, LIMNOL OCEANOGR LETT, V1, P36, DOI 10.1002/lol2.10026
Hütz A, 2011, APPL ENVIRON MICROB, V77, P4412, DOI 10.1128/AEM.00490-11
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Kataoka T, 2009, J PHOTOCH PHOTOBIO B, V95, P108, DOI 10.1016/j.jphotobiol.2009.02.004
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
Langenheder S, 2006, AQUAT SCI, V68, P415, DOI 10.1007/s00027-006-0849-y
Larsen A, 2004, LIMNOL OCEANOGR, V49, P180, DOI 10.4319/lo.2004.49.1.0180
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Logares R., 2017, WORKFLOW ANAL MISEQ, V5, DOI [10.5281/zenodo.259579, DOI 10.5281/ZENODO.259579]
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Manrique JM, 2012, J PHOTOCH PHOTOBIO B, V117, P171, DOI 10.1016/j.jphotobiol.2012.09.019
Martínez-García S, 2010, BIOGEOSCIENCES, V7, P1701, DOI 10.5194/bg-7-1701-2010
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Matallana-Surget S, 2012, J PHOTOCH PHOTOBIO B, V117, P254, DOI 10.1016/j.jphotobiol.2012.09.011
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morán XAG, 2001, APPL ENVIRON MICROB, V67, P3795, DOI 10.1128/AEM.67.9.3795-3801.2001
Morán XAG, 2017, GLOBAL CHANGE BIOL, V23, P3956, DOI 10.1111/gcb.13730
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Neale PJ, 2003, COMP SER PHOTOCHEM, V1, P107
Nikolenko SI, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-S1-S7
Overmann J., 2016, The Marine Microbiome: an Untapped Source of Biodiversity and Biotechnological Potential, P21, DOI DOI 10.1007/978-3-319-33000-6_2
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pernthaler J, 2001, APPL ENVIRON MICROB, V67, P2145, DOI 10.1128/AEM.67.5.2145-2155.2001
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Piquet AMT, 2010, FEMS MICROBIOL ECOL, V73, P68, DOI 10.1111/j.1574-6941.2010.00882.x
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ram ASP, 2016, MICROB ECOL, V72, P347, DOI 10.1007/s00248-016-0782-0
Richert I, 2015, ELEMENTA-SCI ANTHROP, V3, DOI 10.12952/journal.elementa.000044
Ruiz-González C, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00131
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Sánchez O, 2017, ENV MICROBIOL REP, V9, P300, DOI 10.1111/1758-2229.12535
SANDERS RW, 1992, MAR ECOL PROG SER, V86, P1, DOI 10.3354/meps086001
Santos AL, 2011, LETT APPL MICROBIOL, V52, P360, DOI 10.1111/j.1472-765X.2011.03011.x
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schirmer M, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gku1341
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
Silva L, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03244
Simek K, 2001, APPL ENVIRON MICROB, V67, P2723, DOI 10.1128/AEM.67.6.2723-2733.2001
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Storesund JE, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv076
Straza TRA, 2011, AQUAT MICROB ECOL, V62, P267, DOI 10.3354/ame01469
Strom S.L., 2000, MICROBIAL ECOLOGY OC, P351
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tedetti M, 2006, PHOTOCHEM PHOTOBIOL, V82, P389, DOI 10.1562/2005-11-09-IR-733
Teira E, 2015, APPL ENVIRON MICROB, V81, P8224, DOI 10.1128/AEM.02454-15
Teira E, 2011, MAR ECOL PROG SER, V426, P87, DOI 10.3354/meps09008
Teira E, 2010, AQUAT MICROB ECOL, V60, P299, DOI 10.3354/ame01435
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
WILCOX RM, 1994, MAR ECOL PROG SER, V114, P35, DOI 10.3354/meps114035
Winter C, 2001, APPL ENVIRON MICROB, V67, P665, DOI 10.1128/AEM.67.2.665-672.2001
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zhang R, 2007, ENVIRON MICROBIOL, V9, P3008, DOI 10.1111/j.1462-2920.2007.01410.x
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 104
TC 24
Z9 25
PD APR
PY 2019
VL 21
IS 4
BP 1482
EP 1496
DI 10.1111/1462-2920.14581
UT WOS:000464373000023
DA 2025-07-30
ER
PT J
AU Bakenhus, I
Wemheuer, B
Akyol, P
Giebel, HA
Dlugosch, L
Daniel, R
Simon, M
AF Bakenhus, Insa
Wemheuer, Bernd
Akyol, Pinar
Giebel, Helge-Ansgar
Dlugosch, Leon
Daniel, Rolf
Simon, Meinhard
TI Distinct relationships between fluorescence in situ hybridization
and 16S rRNA gene- and amplicon-based sequencing data of
bacterioplankton lineages
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB Catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH) and amplicon sequencing of the total (16S rRNA gene) and potentially active (16S rRNA transcripts), community are the major state of the art approaches for assessing the composition of bacterial communities in marine pelagic and other ecosystems. However, CARD-FISH and amplicon sequencing methods have not yet been directly compared to assess the composition of bacterioplankton communities. Therefore, these approaches were used to study the composition of bacterial communities in two North Sea seawater mesocosm experiments supplemented with diatom-derived organic matter (OM). All approaches revealed Proteobacteria and Bacteroidetes as major components of the bacterioplankton communities. The Roseobacter group and its RCA cluster, as well as Bacteroidetes and Gammaproteobacteria, responded most strongly to OM addition, whereas the SAR11 clade responded in only one of the two mesocosms. A correlation analysis showed that CARD-FISH and amplicon sequencing data of the SAR11 clade and the Roseobacter group, together with its RCA cluster, were highly significantly correlated, whereas Bacteroidetes did not yield any significant correlation and Gammaproteobacteria was only correlated with the potentially active fraction. However, subgroups of these phylogenetic groups, the SAR92 clade, the genera Pseudoalteromonas and Polaribacter, exhibited significant correlations in one of the two mesocosms. Correlations of CARD-FISH with amplicon sequencing data from the total and potentially active fractions of these lineages exhibited distinct differences. The study showed that CARD-FISH and amplicon sequencing data of distinct bacterioplankton groups and especially the phylogenetic lineages at a higher taxonomic level were correlated but reflected different aspects of their growth dynamics. (C) 2019 Elsevier GmbH. All rights reserved.
C1 [Bakenhus, Insa; Giebel, Helge-Ansgar; Dlugosch, Leon; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Carl von Ossietzky Str 9-11, D-26129 Oldenburg, Germany.
[Wemheuer, Bernd; Akyol, Pinar; Daniel, Rolf] Georg August Univ Gottingen, Inst Microbiol & Genet, Dept Genom & Appl Microbiol, Grisebachstr 8, D-37077 Gottingen, Germany.
[Wemheuer, Bernd; Akyol, Pinar; Daniel, Rolf] Georg August Univ Gottingen, Inst Microbiol & Genet, Gottingen Genom Lab, Grisebachstr 8, D-37077 Gottingen, Germany.
RP Simon, M (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Carl von Ossietzky Str 9-11, D-26129 Oldenburg, Germany.
EM m.simon@icbm.de
CR Allers E, 2013, ENVIRON MICROBIOL, V15, P2306, DOI 10.1111/1462-2920.12100
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Angly FE, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-11
[Anonymous], PLOS ONE
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bakenhus I, 2018, STAND GENOMIC SCI, V13, DOI 10.1186/s40793-018-0311-5
Bakenhus I, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01771
Billerbeck S, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.63, 10.1038/NMICROBIOL.2016.63]
Bizic-Ionescu M, 2015, ENVIRON MICROBIOL, V17, P3500, DOI 10.1111/1462-2920.12466
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Brinkmeyer R, 2000, EUR J PHYCOL, V35, P315, DOI 10.1017/S096702620000295X
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Campbell BJ, 2009, AQUAT MICROB ECOL, V57, P123, DOI 10.3354/ame01335
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Choe H, 2016, J BIOTECHNOL, V218, P23, DOI 10.1016/j.jbiotec.2015.11.028
CONOVER WJ, 1981, TECHNOMETRICS, V23, P351, DOI 10.2307/1268225
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hahnke S, 2013, FEMS MICROBIOL ECOL, V86, P185, DOI 10.1111/1574-6941.12151
Hahnke S, 2012, INT J SYST EVOL MICR, V62, P1619, DOI 10.1099/ijs.0.033563-0
Hong SH, 2009, ISME J, V3, P1365, DOI 10.1038/ismej.2009.89
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Kembel SW, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002743
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
López-Pérez M, 2013, MICROB ECOL, V65, P720, DOI 10.1007/s00248-012-0153-4
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Morán XAG, 2011, LIMNOL OCEANOGR, V56, P37, DOI 10.4319/lo.2011.56.1.0037
Moraru C, 2010, ENVIRON MICROBIOL, V12, P3057, DOI 10.1111/j.1462-2920.2010.02281.x
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Musat N, 2012, FEMS MICROBIOL REV, V36, P486, DOI 10.1111/j.1574-6976.2011.00303.x
Nadal P, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035253
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Osterholz H, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8422
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Petersen J, 2011, ARCH MICROBIOL, V193, P313, DOI 10.1007/s00203-011-0686-9
Pohlner M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02550
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2017, R LANG ENV STAT COMP
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ronn R, 2002, APPL ENVIRON MICROB, V68, P6094, DOI 10.1128/AEM.68.12.6094-6105.2002
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schneider D, 2017, METHODS MOL BIOL, V1539, P13, DOI 10.1007/978-1-4939-6691-2_2
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Tada Y, 2013, POLAR BIOL, V36, P691, DOI 10.1007/s00300-013-1294-8
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Takeuchi Y, 2015, SYST APPL MICROBIOL, V38, P330, DOI 10.1016/j.syapm.2015.05.006
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Trojanowski D, 2017, SCI REP-UK, V7, DOI 10.1038/srep43836
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wear EK, 2018, ENVIRON MICROBIOL, V20, P2709, DOI 10.1111/1462-2920.14091
Wemheuer B, 2017, MICROORGANISMS, V5, DOI 10.3390/microorganisms5040068
Wemheuer B, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00805
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
NR 74
TC 5
Z9 5
PD SEP
PY 2019
VL 42
IS 5
AR 126000
DI 10.1016/j.syapm.2019.06.005
UT WOS:000484822400006
DA 2025-07-30
ER
PT J
AU Zemskaya, TI
Cabello-Yeves, PJ
Pavlova, ON
Rodriguez-Valera, F
AF Zemskaya, Tamara, I
Cabello-Yeves, Pedro J.
Pavlova, Olga N.
Rodriguez-Valera, Francisco
TI Microorganisms of Lake Baikal-the deepest and most ancient lake on Earth
SO APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
DT Review
AB Lake Baikal (Russia) is the largest (by volume) and deepest lake on Earth. The lake remains relatively pristine due to the low population density around its basin. Being very distant from any marine water body but having a remarkable number of similarities to oceans (depth, oxygen content, oligotrophy) provides a unique model of pelagic microbiota that is submitted to marine-like conditions minus the salt content of the water. It is also a model of lakes located at high latitudes and submitted to yearly ice cover (from January to April). The analysis by different approaches has indeed provided a view of the microbiota of this lake. It contains novel microbes that are closely related to marine groups not known to be present in freshwater like Chloroflexi or Pelagibacter. The deep water mass contains large communities of chemolithotrophs that use ammonia generated in the photic zone or methane from the sediments.
C1 [Zemskaya, Tamara, I; Pavlova, Olga N.] Russian Acad Sci, Limnol Inst, Siberian Branch, Irkutsk, Russia.
[Cabello-Yeves, Pedro J.; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante, Spain.
[Rodriguez-Valera, Francisco] Moscow Inst Phys & Technol, Dolgoprudnyi, Russia.
RP Zemskaya, TI (corresponding author), Russian Acad Sci, Limnol Inst, Siberian Branch, Irkutsk, Russia.
EM tzema@lin.irk.ru
CR Ahn TS, 1999, J MICROBIOL, V37, P10
Anantharaman K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13219
Andrei AS, 2019, ISME J, V13, P1056, DOI 10.1038/s41396-018-0332-5
[Anonymous], KHIMIYA INTERESAKH U
Azarova IN, 2003, APPL BIOCHEM MICRO+, V39, P585, DOI 10.1023/A:1026282502521
Bel'kova NL, 2003, MICROBIOLOGY+, V72, P203, DOI 10.1023/A:1023224215929
Bel'kova NL, 2003, MICROBIOLOGY+, V72, P244, DOI 10.1023/A:1023288602726
Belikov SI, 1996, MICROBIOLOGY+, V65, P746
Belkova NL, 1996, DOKL AKAD NAUK+, V348, P692
Bondarenko NA, 1996, FRESHWATER BIOL, V35, P517
Bondarenko NA, 1989, BIOL SCI USSR, V12, P34
Cabello-Yeves PJ, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0731-5
Cabello-Yeves PJ, 2018, ENVIRON MICROBIOL, V20, P3757, DOI 10.1111/1462-2920.14377
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02131
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01151
Cabello-Yeves PJ, 2019, LIMNOL OCEANOGR, V9999, P1
Callieri C, 2017, FEMS MICROBIOL LETT, V364, DOI 10.1093/femsle/fnx229
Corno G, 2009, LIMNOL OCEANOGR, V54, P1098, DOI 10.4319/lo.2009.54.4.1098
Denisova LY, 1999, MICROBIOLOGY+, V68, P475
Drucker VV, 2006, GEOGR NATUR RES, V2, P69
FALKNER KK, 1991, LIMNOL OCEANOGR, V36, P413, DOI 10.4319/lo.1991.36.3.0413
Galaziy GI, 1993, ROSKARTOGRAFIYA
Genkai-Kato M, 2002, ECOL RES, V17, P135, DOI 10.1046/j.1440-1703.2002.00473.x
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
GORBENKO YA, 1961, MICROBIOLOGY-USSR, V30, P154
Grachev MA, 2002, CURRENT STATE LAKE B, P156
Granin N.G., 2000, Verhandlungen International Vereinigung Limnologie, V27, P2812, DOI DOI 10.1080/03680770.1998.11898179
Granin NG, 1999, DOKL AKAD NAUK+, V366, P835
Granina LZ., 2008, EARLY DIAGENESIS BOT, P159
Gukov AY, 2001, HYDROBIOLOGY ESTUARI, P219
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Hohmann R, 1997, LIMNOL OCEANOGR, V42, P841, DOI 10.4319/lo.1997.42.5.0841
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Khlystov OM, 2007, DOKL EARTH SCI, V415, P682, DOI 10.1134/S1028334X07050042
Khodzher T.V., 2018, Limnol. Freshw. Biol, V1, P2, DOI [10.31951/2658-3518-2018-A-1-2, DOI 10.31951/2658-3518-2018-A-1-2]
Khodzher T, 2016, SPRINGER WATER, P113, DOI 10.1007/978-3-319-24409-9_3
Killworth PD, 1996, LIMNOL OCEANOGR, V41, P1521, DOI 10.4319/lo.1996.41.7.1521
Kozhov M. M., 1962, Biology of Lake Baikal (in Russian), P315
KOZHOV MM, 1972, ESSAYS LAKE BAIKAL S, P254
Kurilkina MI, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw094
Lapteva NA, 2007, MICROBIOLOGY+, V76, P480, DOI 10.1134/S0026261707040145
Liang YT, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw238
Likhoshvay A, 2013, GEOMICROBIOL J, V30, P209, DOI 10.1080/01490451.2012.665149
Likhoshway YV, 1996, J GREAT LAKES RES, V22, P5, DOI 10.1016/S0380-1330(96)70929-2
Lisitsyn A.P., 2001, Global Changes in the Natural Environment, P163
Maksimenko SY, 2008, MICROBIOLOGY+, V77, P587, DOI 10.1134/S0026261708050123
Maksimenko SY, 2004, 1 BAIK WORKSH EV BIO, P11
Maksimova EA, 1989, MICROBIOLOGY BAIKAL, P168
Mehrshad M, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0563-8
Mehrshad M, 2016, APPL ENVIRON MICROB, V82, P1599, DOI 10.1128/AEM.03381-15
Mikhailov IS, 2015, DOKL BIOCHEM BIOPHYS, V465, P413, DOI 10.1134/S1607672915060198
Mikhailov IS, 2019, J MICROBIOL, V57, P252, DOI 10.1007/s12275-019-8531-y
NAGATA T, 1994, J PLANKTON RES, V16, P945, DOI 10.1093/plankt/16.8.945
Namsaraev B. B., 1994, Mikrobiologiya, V63, P345
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Parfenova VV, 2013, MICROBIOLOGY+, V82, P91, DOI 10.1134/S0026261713010128
Parfenova VV, 2010, CONTEMP PROBL ECOL+, V3, P457, DOI 10.1134/S1995425510040090
Parfenova VV, 2000, MICROBIOLOGY+, V69, P357, DOI 10.1007/BF02756748
Parfenova VV, 1999, CONTEMP PROBL ECOL, V6, P613
Parfenova VV, 2006, BIOL VNUTR VOD, V1, P8
Parfenova VV, 2005, GEOPH RES ABSTR, V7, P6360
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Pavlova ON, 2005, 4 VER BAIK C, P146
Pavlova ON, 2003, SIBIRSKIJ ECOLOGICHE, V3, P267
Peregovich B, 1999, BOREAS, V28, P205, DOI 10.1111/j.1502-3885.1999.tb00215.x
Popovskaya G.I., 2000, Aquatic Ecosystem Health & Management, V3, P215, DOI 10.1016/S1463-4988(00)00021-X
ROMANIUK PJ, 1987, J BACTERIOL, V169, P2137, DOI 10.1128/jb.169.5.2137-2141.1987
Sakirko MV, 2015, PROC SPIE, V9680, DOI 10.1117/12.2205753
Salcher MM, 2019, ISME J, V13, P2764, DOI 10.1038/s41396-019-0471-3
Semenova EA, 2001, MOL BIOL+, V35, P405, DOI 10.1023/A:1010482930472
Shimaraev MN, 2015, DOKL EARTH SCI, V461, P379, DOI 10.1134/S1028334X15040078
Shimaraev MN, 2012, DOKL EARTH SCI, V442, P272, DOI 10.1134/S1028334X12020183
Shimaraev M.N., 1994, PHYS LIMNOLOGY LAKE
Shimaraev M.N., 2011, Dokl. Akad. Nauk, V438, P121
Shimaraev MN, 1999, GEOL GEOFIZ, V40, P1502
Shimaraev MN, 1977, ELEMENTS THERMAL REG, P147
Sorokovikova LM, 2012, HYDROBIOLOGIA, V695, P329, DOI 10.1007/s10750-012-1200-3
Straskrábová V, 2005, GLOBAL PLANET CHANGE, V46, P57, DOI 10.1016/j.gloplacha.2004.11.006
Suslova MJ, 2003, APPL SYSTEMATICS BAC, P18
Terkina IA, 2002, MICROBIOLOGY+, V71, P346, DOI 10.1023/A:1015871115187
Thrimonis ES, 1987, SEDIMENTATION PROCES, P149
Timoshkin O., 1995, Biodiversity of Lake Baikal: Review of current state of knowledge and perspectives of studies. Guide and Key to Pelagic Animals of Lake Baikal with Ecological Notes, P25
Tran P, 2018, ENVIRON MICROBIOL, V20, P2568, DOI 10.1111/1462-2920.14283
Vologina E, 2015, 9 S EUR FRESHW SCI G, P272
Votintsev KK, 1975, CYCLE ORGANIC MATTER, P189
Votintsev KK, 1965, HYDROCHEMISTRY RIVER, P495
Wahsner M, 1999, BOREAS, V28, P215, DOI 10.1111/j.1502-3885.1999.tb00216.x
WEISS RF, 1991, NATURE, V349, P665, DOI 10.1038/349665a0
Wüest A, 2005, LIMNOL OCEANOGR, V50, P184
Yoshioka Takahito, 2002, Limnology, V3, P159, DOI 10.1007/s102010200019
Zakharenko AS, 2015, MICROBIOLOGY+, V84, P90, DOI 10.1134/S0026261715010178
Zakharenko AS, 2019, MICROB ECOL, V78, P269, DOI 10.1007/s00248-018-1299-5
Zemskaya TI, 2019, LIMNOL FRESHWATER BI, V4, P259
Zemskaya TI, 2005, INT WORKSH BIOSPH OR, P252
NR 97
TC 14
Z9 16
PD JUL
PY 2020
VL 104
IS 14
BP 6079
EP 6090
DI 10.1007/s00253-020-10660-6
EA MAY 2020
UT WOS:000533813200002
DA 2025-07-30
ER
PT J
AU Sakami, T
Watanabe, T
Kakehi, S
Taniuchi, Y
Kuwata, A
AF Sakami, Tomoko
Watanabe, Tsuyoshi
Kakehi, Shigeho
Taniuchi, Yukiko
Kuwata, Akira
TI Spatial variation of bacterial community composition at the expiry of
spring phytoplankton bloom in Sendai Bay, Japan
SO GENE
DT Article
AB In order to characterize how bacterial communities are propagated over spatial scales in a coastal area, the bacterial community composition was examined along with a transect line set in a bay at an expiry of spring phyto-plankton bloom. Four distinctive bacterial communities were found within the bay by a fingerprinting method of 16S rRNA gene amplicons. The most widely distributed one was distributed in the surface and middle layers at whole area of the bay. The water was characterized by low inorganic nutrients concentration and high bacterial abundance, suggesting that the bacterial community had been developed in the bloom. Pyrosequencing analyses of the gene amplicons indicated that Rhodobacteriaceae and Flavobacteriaceae were abundant in the bacterial community, though the most abundant bacterial taxon was SAR11. The second group was distributed in the bottom water at the coastal side of the bay where considerably high Chl. a concentration was observed, probably because of the sedimentation of phytoplankton bloom. The community diversity was high and Alteromonadaceae, Saprospiraceae, and some families of Actinobacter existed more in this community than the others. The third group was distributed in the deep water near the border with the outside of the bay. The ratio of SAR11 was the highest in this community; besides, Burkholdetianceae and Rhodospilliraceae existed in relatively high abundances. Another bacterial community having intermediate characters was observed in the middle to bottom layers around a central part of the bay where vertical water mixing was observed. These findings suggest that spatially different bacterial communities were formed under the influences of phytoplankton bloom and/or hydrographic events such as oceanic seawater intrusion of the bay. (C) 2015 The Authors. Published by Elsevier B.V.
C1 [Sakami, Tomoko; Watanabe, Tsuyoshi; Kakehi, Shigeho; Kuwata, Akira] Fisheries Res Agcy, Tohoku Natl Fisheries Res Inst, Shiogama, Miyagi 9850001, Japan.
[Watanabe, Tsuyoshi] JST, CREST, Kawaguchi, Saitama 3320012, Japan.
[Taniuchi, Yukiko] Fisheries Res Agcy, Hokkaido Natl Fisheries Res Inst, Kushiro, Hokkaido 0850802, Japan.
RP Sakami, T (corresponding author), Fisheries Res Agcy, Tohoku Natl Fisheries Res Inst, 3-27-5 Shinhama, Shiogama, Miyagi 9850001, Japan.
EM sakami@affrc.go.jp
CR Allers E, 2013, ISME J, V7, P256, DOI 10.1038/ismej.2012.108
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
[Anonymous], 1971, INTERIM REPORT STUDI
Aravindraja C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0076724
Burke C, 2011, ISME J, V5, P590, DOI 10.1038/ismej.2010.164
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Danovaro R, 2006, APPL ENVIRON MICROB, V72, P5982, DOI 10.1128/AEM.01361-06
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC
Furusawa G, 2003, CAN J MICROBIOL, V49, P92, DOI 10.1139/W03-017
Gobet A, 2012, ISME J, V6, P542, DOI 10.1038/ismej.2011.132
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
GOODFELLOW M, 1983, ANNU REV MICROBIOL, V37, P189, DOI 10.1146/annurev.mi.37.100183.001201
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hamdan LJ, 2013, ISME J, V7, P685, DOI 10.1038/ismej.2012.143
Inaba N, 2014, J PLANKTON RES, V36, P388, DOI 10.1093/plankt/fbt119
Kakei S., 2012, J JPN SOC CIVIL EN B, V68, pI_951, DOI DOI 10.2208/KAIGAII.68.1_951
Kim SW, 2013, DNA RES, V20, P241, DOI 10.1093/dnares/dst006
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lanoil BD, 2001, APPL ENVIRON MICROB, V67, P5143, DOI 10.1128/AEM.67.11.5143-5153.2001
Liu M, 2013, DEEP-SEA RES PT II, V97, P85, DOI 10.1016/j.dsr2.2013.05.016
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murrell MC, 1999, LIMNOL OCEANOGR, V44, P295, DOI 10.4319/lo.1999.44.2.0295
Paerl HW, 2003, FEMS MICROBIOL ECOL, V46, P233, DOI 10.1016/S0168-6496(03)00200-9
Park JH, 2010, AQUAT MICROB ECOL, V60, P151, DOI 10.3354/ame01416
Pernthaler A, 2008, P NATL ACAD SCI USA, V105, P7052, DOI 10.1073/pnas.0711303105
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Ploug H, 1997, AQUAT MICROB ECOL, V13, P285, DOI 10.3354/ame013285
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Sakami T, 2008, MICROBES ENVIRON, V23, P277, DOI 10.1264/jsme2.ME08513
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Starr T.J., 1957, LIMNOL OCEANOGR, V2, P55
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Taniguchi A, 2008, ENVIRON MICROBIOL, V10, P1007, DOI 10.1111/j.1462-2920.2007.01521.x
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
TOMAS C.R., 1997, IDENTIFYING MARINE P, P858
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
Xia Y., 2014, APPL ENVIRON MICROB, V80, P2229
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
NR 44
TC 11
Z9 11
PD FEB 1
PY 2016
VL 576
IS 2
SI SI
BP 610
EP 617
DI 10.1016/j.gene.2015.10.011
PN 1
UT WOS:000367485200005
DA 2025-07-30
ER
PT J
AU Galand, PE
Alonso-Sáez, L
Bertilsson, S
Lovejoy, C
Casamayor, EO
AF Galand, Pierre E.
Alonso-Saez, Laura
Bertilsson, Stefan
Lovejoy, Connie
Casamayor, Emilio O.
TI Contrasting activity patterns determined by BrdU incorporation in
bacterial ribotypes from the Arctic Ocean in winter
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB The winter Arctic Ocean is one of the most unexplored marine environments from a microbiological perspective. Heterotrophic bacteria maintain their activity at a baseline level during the extremely low-energy conditions of the winter, but little is known about the specific phylotypes that have the potential to survive and grow in such harsh environment. In this study, we aimed at identifying actively growing ribotypes in winter Arctic Ocean seawater cultures by experimental incubations with the thymidine analog bromodeoxyuridine (BrdU), followed by immunocapturing, terminal restriction fragment length polymorphism fingerprinting, cloning, and sequencing the 16S rRNA gene. We incubated water collected at different months over the Arctic winter and showed that the actively growing bacterial fraction, taking up BrdU, represented only a subset of the total community. Among the BrdU-labeled bacterial taxa we identified the Flavobacteria Polaribacter, the Alphaproteobacteria SAR11, the Gammaproteobacteria Arctic 96B-16 cluster and, predominately, members of Colwellia spp. Interestingly, Colwellia sequences formed three clusters (93 and 97% pairwise 16S rRNA identity) that contributed in contrasting ways to the active communities in the incubations. Polanbacter, Arctic 96B-16 and one cluster of Colwellia were more abundant in the active community represented by the BrdU-labeled DNA. In contrast, SAR11 and two other Colwellia clusters were underrepresented in the BrdU-labeled community compared to total communities. Despite the limitation of the long incubations needed to label slow growing arctic communities, the BrdU approach revealed the potential for active growth in low-energy conditions in some relevant groups of polar bacteria, including Polaribacter and Arctic 96B-16. Moreover, under similar incubation conditions, the growth of different Colwellia ribotypes varied, suggesting that related clusters of Colwellia may have distinct metabolic features.
C1 [Galand, Pierre E.; Casamayor, Emilio O.] CSIC, Ctr Estudis Avancats Blanes, Biogeodynam & Biodivers Grp, Blanes, Spain.
[Galand, Pierre E.] Univ Paris 06, F-75252 Paris 05, France.
[Galand, Pierre E.] Observ Oceanol Banyuls, Lab Ecogeochim Environm Benth, CNRS, UMR 8222, F-66650 Banyuls Sur Mer, France.
[Alonso-Saez, Laura; Bertilsson, Stefan] Uppsala Univ, Dept Ecol & Genet, Uppsala, Sweden.
[Alonso-Saez, Laura] Inst Espanol Oceanog, Ctr Oceanog Gijon, Gijon, Spain.
[Lovejoy, Connie] Univ Laval, Dept Biol, Inst Biol Integrat & Syst, Quebec City, PQ G1K 7P4, Canada.
RP Galand, PE (corresponding author), Observ Oceanol Banyuls, Lab Ecogeochim Environm Benth, Ave Fontaule, F-66650 Banyuls Sur Mer, France.
EM pierre.galand@obs-banyuls.fr
CR Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
BINNIE C, 1986, J GEN MICROBIOL, V132, P493
Borneman J, 1999, APPL ENVIRON MICROB, V65, P3398
Bowman JP, 1998, INT J SYST BACTERIOL, V48, P1171, DOI 10.1099/00207713-48-4-1171
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Deming J. W., 2005, BERGEYS MANUAL SYSTE, P447
Edgar RC, 2004, BMC BIOINFORMATICS, V5, P1, DOI 10.1186/1471-2105-5-113
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Felsenstein J., 2008, PHYLIP PHYLOGENY INF
Fernàndez-Guerra A, 2010, BMC MICROBIOL, V10, DOI 10.1186/1471-2180-10-262
Garneau MÉ, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004281
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hellman M, 2011, J MICROBIOL METH, V86, P376, DOI 10.1016/j.mimet.2011.05.020
Huston AL, 2000, ENVIRON MICROBIOL, V2, P383, DOI 10.1046/j.1462-2920.2000.00118.x
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Junge K, 2002, MICROBIAL ECOL, V43, P315, DOI 10.1007/s00248-001-1026-4
Junier P, 2008, APPL ENVIRON MICROB, V74, P6452, DOI 10.1128/AEM.01394-08
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Lovejoy C., 2011, MAR BIODIVERS, V41, P5, DOI [DOI 10.1007/s12526-010-0062-z, 10.1007/s12526-010-0062-z]
Lymer D, 2008, FRESHWATER BIOL, V53, P1163, DOI 10.1111/j.1365-2427.2007.01882.x
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Nikrad MP, 2012, APPL ENVIRON MICROB, V78, P2402, DOI 10.1128/AEM.07130-11
Pernthaler A, 2005, APPL ENVIRON MICROB, V71, P4638, DOI 10.1128/AEM.71.8.4638-4644.2005
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P5728, DOI 10.1128/AEM.68.11.5728-5736.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Steward GF, 1999, AQUAT MICROB ECOL, V19, P57, DOI 10.3354/ame019057
Taniguchi A, 2008, ENVIRON MICROBIOL, V10, P1007, DOI 10.1111/j.1462-2920.2007.01521.x
Urbach E, 1999, APPL ENVIRON MICROB, V65, P1207
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
NR 34
TC 14
Z9 16
PD MAY 20
PY 2013
VL 4
AR 118
DI 10.3389/fmicb.2013.00118
UT WOS:000331118900001
DA 2025-07-30
ER
PT J
AU Ferrera, I
Gasol, JM
Sebastián, M
Hojerová, E
Koblízek, M
AF Ferrera, Isabel
Gasol, Josep M.
Sebastian, Marta
Hojerova, Eva
Koblizek, Michal
TI Comparison of Growth Rates of Aerobic Anoxygenic Phototrophic Bacteria
and Other Bacterioplankton Groups in Coastal Mediterranean Waters
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Growth is one of the basic attributes of any living organism. Surprisingly, the growth rates of marine bacterioplankton are only poorly known. Current data suggest that marine bacteria grow relatively slowly, having generation times of several days. However, some bacterial groups, such as the aerobic anoxygenic phototrophic (AAP) bacteria, have been shown to grow much faster. Two manipulation experiments, in which grazing, viruses, and resource competition were reduced, were conducted in the coastal Mediterranean Sea (Blanes Bay Microbial Observatory). The growth rates of AAP bacteria and of several important phylogenetic groups (the Bacteroidetes, the alphaproteobacterial groups Roseobacter and SAR11, and the Gammaproteobacteria group and its subgroups the Alteromonadaceae and the NOR5/OM60 clade) were calculated from changes in cell numbers in the manipulation treatments. In addition, we examined the role that top-down (mortality due to grazers and viruses) and bottom-up (resource availability) factors play in determining the growth rates of these groups. Manipulations resulted in an increase of the growth rates of all groups studied, but its extent differed largely among the individual treatments and among the different groups. Interestingly, higher growth rates were found for the AAP bacteria (up to 3.71 day(-1)) and for the Alteromonadaceae (up to 5.44 day(-1)), in spite of the fact that these bacterial groups represented only a very low percentage of the total prokaryotic community. In contrast, the SAR11 clade, which was the most abundant group, was the slower grower in all treatments. Our results show that, in general, the least abundant groups exhibited the highest rates, whereas the most abundant groups were those growing more slowly, indicating that some minor groups, such the AAP bacteria, very likely contribute much more to the recycling of organic matter in the ocean than what their abundances alone would predict.
C1 [Ferrera, Isabel; Gasol, Josep M.; Sebastian, Marta] CSIC, Inst Ciencias Mar, Dept Biol Marina & Oceanog, E-08003 Barcelona, Catalunya, Spain.
[Hojerova, Eva; Koblizek, Michal] Inst Microbiol CAS, Trebon 37981, Czech Republic.
[Hojerova, Eva] Univ S Bohemia, Fac Sci, Ceske Budejovice 37005, Czech Republic.
RP Ferrera, I (corresponding author), CSIC, Inst Ciencias Mar, Dept Biol Marina & Oceanog, Pg Maritim de la Barceloneta 37-49, E-08003 Barcelona, Catalunya, Spain.
EM iferrera@icm.csic.es
CR Alonso-Sáez L, 2008, ECOSYSTEMS, V11, P397, DOI 10.1007/s10021-008-9129-0
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Alonso-Sáez L, 2010, ENVIRON MICROBIOL, V12, P2988, DOI 10.1111/j.1462-2920.2010.02276.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
Boras JA, 2009, ENVIRON MICROBIOL, V11, P1181, DOI 10.1111/j.1462-2920.2008.01849.x
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC, V2nd, P45, DOI DOI 10.1002/9780470281840.CH3
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
IBA K, 1989, PLANT CELL PHYSIOL, V30, P471, DOI 10.1093/oxfordjournals.pcp.a077765
Jürgens K, 1999, APPL ENVIRON MICROB, V65, P1241
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Koblek M., 2011, MICROBIAL CARBON PUM, V1, P49
Koblízek M, 2005, FEMS MICROBIOL ECOL, V51, P353, DOI 10.1016/j.femsec.2004.09.016
Koblízek M, 2007, ENVIRON MICROBIOL, V9, P2401, DOI 10.1111/j.1462-2920.2007.01354.x
Koblízek M, 2010, ARCH MICROBIOL, V192, P41, DOI 10.1007/s00203-009-0529-0
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Lehours AC, 2010, FEMS MICROBIOL ECOL, V74, P397, DOI 10.1111/j.1574-6941.2010.00954.x
Masín M, 2006, AQUAT MICROB ECOL, V45, P247, DOI 10.3354/ame045247
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Peters F, 2002, MAR ECOL PROG SER, V245, P305, DOI 10.3354/meps245305
PREISENDORFER RW, 1986, LIMNOL OCEANOGR, V31, P909, DOI 10.4319/lo.1986.31.5.0909
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Sieracki ME, 2006, LIMNOL OCEANOGR, V51, P38, DOI 10.4319/lo.2006.51.1.0038
Simek K, 2006, ENVIRON MICROBIOL, V8, P1613, DOI 10.1111/j.1462-2920.2006.01053.x
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
YURKOV VV, 1993, ARCH MICROBIOL, V159, P84, DOI 10.1007/BF00244268
NR 46
TC 94
Z9 98
PD NOV
PY 2011
VL 77
IS 21
BP 7451
EP 7458
DI 10.1128/AEM.00208-11
UT WOS:000296568200003
DA 2025-07-30
ER
PT J
AU Biller, SJ
Coe, A
Arellano, AA
Dooley, K
Silvestri, SM
Gong, JS
Yeager, EA
Becker, JW
Chisholm, SW
AF Biller, Steven J.
Coe, Allison
Arellano, Aldo A.
Dooley, Keven
Silvestri, Samantha M.
Gong, Jacqueline S.
Yeager, Emily A.
Becker, Jamie W.
Chisholm, Sallie W.
TI Environmental and Taxonomic Drivers of Bacterial Extracellular Vesicle
Production in Marine Ecosystems
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Bacteria release extracellular vesicles that contain a wide variety of cellular compounds, including lipids, proteins, nucleic acids, and small molecules, into their surrounding environment. These structures are found in diverse microbial habitats, including the oceans, where their distributions vary throughout the water column and likely affect their functional impacts within microbial ecosystems.
Extracellular vesicles are small (approximately 50 to 250 nm in diameter), membrane-bound structures that are released by cells into their surrounding environment. Heterogeneous populations of vesicles are abundant in the global oceans, and they likely play a number of ecological roles in these microbially dominated ecosystems. Here, we examine how vesicle production and size vary among different strains of cultivated marine microbes as well as explore the degree to which this is influenced by key environmental variables. We show that both vesicle production rates and vesicle sizes significantly differ among cultures of marine Proteobacteria, Cyanobacteria, and Bacteroidetes. Further, these properties vary within individual strains as a function of differences in environmental conditions, such as nutrients, temperature, and light irradiance. Thus, both community composition and the local abiotic environment are expected to modulate the production and standing stock of vesicles in the oceans. Examining samples from the oligotrophic North Pacific Gyre, we show depth-dependent changes in the abundance of vesicle-like particles in the upper water column in a manner that is broadly consistent with culture observations: the highest vesicle abundances are found near the surface, where the light irradiances and the temperatures are the greatest, and they then decrease with depth. This work represents the beginnings of a quantitative framework for describing extracellular vesicle dynamics in the oceans, which is essential as we begin to incorporate vesicles into our ecological and biogeochemical understanding of marine ecosystems.IMPORTANCE Bacteria release extracellular vesicles that contain a wide variety of cellular compounds, including lipids, proteins, nucleic acids, and small molecules, into their surrounding environment. These structures are found in diverse microbial habitats, including the oceans, where their distributions vary throughout the water column and likely affect their functional impacts within microbial ecosystems. Using a quantitative analysis of marine microbial cultures, we show that bacterial vesicle production in the oceans is shaped by a combination of biotic and abiotic factors. Different marine taxa release vesicles at rates that vary across an order of magnitude, and vesicle production changes dynamically as a function of environmental conditions. These findings represent a step forward in our understanding of bacterial extracellular vesicle production dynamics and provide a basis for the quantitative exploration of the factors that shape vesicle dynamics in natural ecosystems.
C1 [Biller, Steven J.; Coe, Allison; Arellano, Aldo A.; Dooley, Keven; Becker, Jamie W.; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Biller, Steven J.; Silvestri, Samantha M.; Gong, Jacqueline S.; Yeager, Emily A.] Wellesley Coll, Dept Biol Sci, Wellesley, MA USA.
[Becker, Jamie W.] Alvernia Univ, Sci Dept, Reading, PA USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA USA.
RP Biller, SJ (corresponding author), MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
EM sbiller@wellesley.edu
CR Arndt D, 2016, NUCLEIC ACIDS RES, V44, pW16, DOI 10.1093/nar/gkw387
Aschtgen MS, 2016, J BACTERIOL, V198, P2156, DOI 10.1128/JB.00101-16
Baeza N, 2021, MICROB ECOL, V81, P645, DOI 10.1007/s00248-020-01614-6
Baumgarten T, 2012, APPL MICROBIOL BIOT, V93, P837, DOI 10.1007/s00253-011-3442-9
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Bernadac A, 1998, J BACTERIOL, V180, P4872, DOI 10.1128/JB.180.18.4872-4878.1998
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Biller SJ., 2020, BACTERIAL MEMBRANE V, P75, DOI [10.1007/978-3-030-36331-4_4, DOI 10.1007/978-3-030-36331-4_4]
Biller SJ, 2022, ENVIRON MICROBIOL, V24, P420, DOI 10.1111/1462-2920.15834
Biller SJ, 2017, ISME J, V11, P394, DOI 10.1038/ismej.2016.134
Biller SJ, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.00967-15
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Bitto NJ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07288-4
Braakman R, 2017, P NATL ACAD SCI USA, V114, pE3091, DOI 10.1073/pnas.1619573114
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Erdmann S, 2017, NAT MICROBIOL, V2, P1446, DOI 10.1038/s41564-017-0009-2
Fong YY, 2017, BMC BIOINFORMATICS, V18, DOI 10.1186/s12859-017-1863-x
Frias A, 2010, MICROB ECOL, V59, P476, DOI 10.1007/s00248-009-9622-9
Fulsundar S, 2014, APPL ENVIRON MICROB, V80, P3469, DOI 10.1128/AEM.04248-13
Gamalier JP, 2017, MICROBIOL RES, V194, P38, DOI 10.1016/j.micres.2016.08.002
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
He QF, 2001, J BIOL CHEM, V276, P306, DOI 10.1074/jbc.M008686200
Juodeikis R, 2022, MICROBIOL MOL BIOL R, V86, DOI 10.1128/mmbr.00032-22
Kobayashi H, 2000, J BACTERIOL, V182, P6451, DOI 10.1128/JB.182.22.6451-6455.2000
Kulp AJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0139200
Linney MD, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.02093-21
Lynch JB, 2017, J BACTERIOL, V199, DOI 10.1128/JB.00012-17
MacDonald IA, 2013, J BACTERIOL, V195, P2971, DOI 10.1128/JB.02267-12
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Mandal PK, 2021, MICROBIOL-SGM, V167, DOI 10.1099/mic.0.001021
Markowitz VM, 2014, NUCLEIC ACIDS RES, V42, pD560, DOI 10.1093/nar/gkt963
Mashburn LM, 2005, NATURE, V437, P422, DOI 10.1038/nature03925
Mazerolli MJ., 2020, AICCMODAVG MODEL SEL
McBroom AJ, 2007, MOL MICROBIOL, V63, P545, DOI 10.1111/j.1365-2958.2006.05522.x
McBroom AJ, 2006, J BACTERIOL, V188, P5385, DOI 10.1128/JB.00498-06
McMillan HM, 2021, EMBO J, V40, DOI 10.15252/embj.2021108174
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
MOORE LR, 1995, MAR ECOL PROG SER, V116, P259, DOI 10.3354/meps116259
Moore LR, 1999, LIMNOL OCEANOGR, V44, P628, DOI 10.4319/lo.1999.44.3.0628
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Muramatsu M, 2012, J PLANT RES, V125, P11, DOI 10.1007/s10265-011-0454-6
Murphy K, 2014, J BACTERIOL, V196, P1306, DOI 10.1128/JB.01463-13
Nakayama-Imaohji H, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0148887
Naradasu D, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.682685
Pathirana RD, 2016, CELL MICROBIOL, V18, P1518, DOI 10.1111/cmi.12658
Pérez-Cruz C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116896
Pérez-Cruz C, 2013, APPL ENVIRON MICROB, V79, P1874, DOI 10.1128/AEM.03657-12
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rath P, 2013, P NATL ACAD SCI USA, V110, pE4790, DOI 10.1073/pnas.1320118110
Resch U, 2016, MBIO, V7, DOI 10.1128/mBio.00207-16
Roier S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10515
Saito MA, 2002, LIMNOL OCEANOGR, V47, P1629, DOI 10.4319/lo.2002.47.6.1629
Schatz D, 2018, CURR OPIN MICROBIOL, V43, P148, DOI 10.1016/j.mib.2018.01.014
Schatz D, 2017, NAT MICROBIOL, V2, P1485, DOI 10.1038/s41564-017-0024-3
Schertzer JW, 2012, MBIO, V3, DOI 10.1128/mBio.00297-11
Schwechheimer C, 2015, NAT REV MICROBIOL, V13, P605, DOI 10.1038/nrmicro3525
Schwechheimer C, 2014, BMC MICROBIOL, V14, DOI 10.1186/s12866-014-0324-1
Sohlenkamp C, 2016, FEMS MICROBIOL REV, V40, P133, DOI 10.1093/femsre/fuv008
Tartaglia NR, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-64952-y
Ting CS, 2007, J BACTERIOL, V189, P4485, DOI 10.1128/JB.01948-06
Toyofuku M, 2019, NAT REV MICROBIOL, V17, P13, DOI 10.1038/s41579-018-0112-2
Toyofuku M, 2014, ENVIRON MICROBIOL, V16, P2927, DOI 10.1111/1462-2920.12260
Turnbull L, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11220
Turner L, 2018, FRONT IMMUNOL, V9, DOI 10.3389/fimmu.2018.01466
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Yokoyama F, 2017, EXTREMOPHILES, V21, P723, DOI 10.1007/s00792-017-0937-z
Zarantonello V, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00272
Zavan L, 2019, PROTEOMICS, V19, DOI 10.1002/pmic.201800209
NR 72
TC 9
Z9 11
PD JUN 28
PY 2023
VL 89
IS 6
DI 10.1128/aem.00594-23
EA MAY 2023
UT WOS:000990236000001
DA 2025-07-30
ER
PT J
AU Galand, PE
Potvin, M
Casamayor, EO
Lovejoy, C
AF Galand, Pierre E.
Potvin, Marianne
Casamayor, Emilio O.
Lovejoy, Connie
TI Hydrography shapes bacterial biogeography of the deep Arctic Ocean
SO ISME JOURNAL
DT Article
AB It has been long debated as to whether marine microorganisms have a ubiquitous distribution or patterns of biogeography, but recently a consensus for the existence of microbial biogeography is emerging. However, the factors controlling the distribution of marine bacteria remain poorly understood. In this study, we combine pyrosequencing and traditional Sanger sequencing of the 16S rRNA gene to describe in detail bacterial communities from the deep Arctic Ocean. We targeted three separate water masses, from three oceanic basins and show that bacteria in the Arctic Ocean have a biogeography. The biogeographical distribution of bacteria was explained by the hydrography of the Arctic Ocean and subsequent circulation of its water masses. Overall, this first taxonomic description of deep Arctic bacteria communities revealed an abundant presence of SAR11 (Alphaproteobacteria), SAR406, SAR202 (Chloroflexi) and SAR324 (Deltaproteobacteria) clusters. Within each cluster, the abundance of specific phylotypes significantly varied among water masses. Water masses probably act as physical barriers limiting the dispersal and controlling the diversity of bacteria in the ocean. Consequently, marine microbial biogeography involves more than geographical distances, as it is also dynamically associated with oceanic processes. Our ocean scale study suggests that it is essential to consider the coupling between microbial and physical oceanography to fully understand the diversity and function of marine microbes. The ISME Journal (2010) 4, 564-576; doi:10.1038/ismej.2009.134; published online 10 December 2009
C1 [Galand, Pierre E.] CNRS, Observ Oceanol, UMR 7621, LOBB, F-66651 Banyuls Sur Mer, France.
[Galand, Pierre E.; Casamayor, Emilio O.] CSIC, Limnol Unit, Ctr Estudis Avancats Blanes, Dept Continental Ecol, Blanes, Spain.
[Potvin, Marianne; Lovejoy, Connie] Univ Laval, Dept Biol, Quebec City, PQ G1K 7P4, Canada.
[Potvin, Marianne; Lovejoy, Connie] Univ Laval, Inst Biol Integrat & Syst, Quebec City, PQ, Canada.
[Galand, Pierre E.] Univ Paris 06, UPMC, Paris, France.
RP Galand, PE (corresponding author), CNRS, Observ Oceanol Banyuls Sur Mer, UMR 7621, F-66651 Banyuls Sur Mer, France.
EM pierre.galand@obs-banyuls.fr
CR Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
[Anonymous], 2004, PHYLIP PHYLOGENY INF
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Broecker W.S., 1991, Oceanography, V4, P79, DOI [DOI 10.5670/OCEANOG.1991.07, 10.5670/oceanog.1991.07]
Broecker WS, 1997, SCIENCE, V278, P1582, DOI 10.1126/science.278.5343.1582
Darling KF, 2004, P NATL ACAD SCI USA, V101, P7657, DOI 10.1073/pnas.0402401101
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dethlefsen L, 2008, PLOS BIOL, V6, P2383, DOI 10.1371/journal.pbio.0060280
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Galand PE, 2008, LIMNOL OCEANOGR, V53, P813, DOI 10.4319/lo.2008.53.2.0813
Galand PE, 2009, ENVIRON MICROBIOL, V11, P971, DOI 10.1111/j.1462-2920.2008.01822.x
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Gallagher JM, 2004, FEMS MICROBIOL ECOL, V47, P249, DOI 10.1016/S0168-6496(03)00281-2
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Hamilton AK, 2008, LIMNOL OCEANOGR, V53, P922, DOI 10.4319/lo.2008.53.3.0922
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hansman RL, 2009, P NATL ACAD SCI USA, V106, P6513, DOI 10.1073/pnas.0810871106
Herndl GJ, 2008, AQUAT MICROB ECOL, V53, P59, DOI 10.3354/ame01225
Hewson I, 2006, LIMNOL OCEANOGR, V51, P1274, DOI 10.4319/lo.2006.51.3.1274
Hosia A, 2008, DEEP-SEA RES PT II, V55, P106, DOI 10.1016/j.dsr2.2007.09.007
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
JONES EP, 1995, DEEP-SEA RES PT I, V42, P737, DOI 10.1016/0967-0637(95)00013-V
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
López-García P, 2001, FEMS MICROBIOL ECOL, V36, P193, DOI 10.1016/S0168-6496(01)00133-7
MACDONALD RW, 1991, SCIENCE, V254, P1348, DOI 10.1126/science.254.5036.1348
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
McLaughlin FA, 2004, DEEP-SEA RES PT I, V51, P107, DOI 10.1016/j.dsr.2003.09.010
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rudels B, 2004, POLAR RES, V23, P181, DOI 10.1111/j.1751-8369.2004.tb00007.x
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Sexton PF, 2008, GEOLOGY, V36, P899, DOI 10.1130/G25232A.1
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
SpencerCervato C, 1997, MAR MICROPALEONTOL, V30, P267, DOI 10.1016/S0377-8398(97)00004-2
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
STOMMEL H, 1958, DEEP-SEA RES, V5, P80, DOI 10.1016/S0146-6291(58)80014-4
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Tang CCL, 2004, PROG OCEANOGR, V63, P183, DOI 10.1016/j.pocean.2004.09.005
Teira E, 2006, LIMNOL OCEANOGR, V51, P2131, DOI 10.4319/lo.2006.51.5.2131
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
NR 60
TC 151
Z9 165
PD APR
PY 2010
VL 4
IS 4
BP 564
EP 576
DI 10.1038/ismej.2009.134
UT WOS:000275851100011
DA 2025-07-30
ER
PT J
AU Ni, JY
Chen, MM
Shen, JM
Liu, L
Jiang, ZP
Zhou, KB
Li, XL
Dai, MH
Zhang, Y
AF Ni, Junyi
Chen, Mingming
Shen, Jiaming
Liu, Li
Jiang, Zong-Pei
Zhou, Kuanbo
Li, Xiaolin
Dai, Minhan
Zhang, Yao
TI Elevated Heterotrophic Prokaryotic Production Supported by Low Nucleic
Acid Prokaryotes at a Cyclonic Eddy Edge in the Northwest Pacific
SO JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
DT Article
AB The cyclonic eddy uplifts nutrient-rich seawater into the euphotic zone, typically directly enhancing phytoplankton abundance and primary production. However, its impact on heterotrophic prokaryotic production (HPP) remains unclear due to the complex interplay of multiple indirect factors governing this process. Here, we conducted a comprehensive investigation of the distribution of picophytoplankton and heterotrophic prokaryotes, prokaryotic community structure, and HPP within a cyclonic eddy in the western North Pacific subtropical gyre. The results indicated that despite the higher abundance of picophytoplankton accompanied by nutrient upwelling at the eddy core compared to the edge, higher levels of HPP were observed at the eddy edge between 100 and 200 m, consistent with the distribution of the low nucleic acid content (LNA) prokaryotes. The significant positive correlation between HPP and the proportion of LNA group in total heterotrophic prokaryotes suggested a primary contribution from the LNA group over the high nucleic acid content (HNA) group. SAR11, a typical member of the LNA group, may primarily contribute to the elevated HPP observed at the eddy edge. The changes in temperature, nutrients, and light intensity induced by the cyclonic eddy may significantly influence the distribution and activity of HNA and LNA groups, potentially exerting a greater impact on HPP compared to phytoplankton-related factors. These findings contribute to understanding the underlying mechanisms of HPP responses to cyclonic eddies in the oligotrophic open ocean.
C1 [Ni, Junyi; Chen, Mingming; Shen, Jiaming; Liu, Li; Zhou, Kuanbo; Li, Xiaolin; Dai, Minhan; Zhang, Yao] Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Jiang, Zong-Pei] Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China.
RP Zhang, Y (corresponding author), Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
EM yaozhang@xmu.edu.cn
CR ALBRIGHT LJ, 1975, CAN J MICROBIOL, V21, P1406, DOI 10.1139/m75-210
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Arístegui J, 2005, J MARINE SYST, V54, P65, DOI 10.1016/j.jmarsys.2004.07.004
Baltar F, 2017, BIOGEOCHEMISTRY, V133, P307, DOI 10.1007/s10533-017-0334-9
Baltar F, 2009, PROG OCEANOGR, V83, P180, DOI 10.1016/j.pocean.2009.07.016
Belkin N, 2022, OCEAN SCI, V18, P693, DOI 10.5194/os-18-693-2022
Bentkowski P, 2015, GENOME BIOL EVOL, V7, P2344, DOI 10.1093/gbe/evv148
Berthelot H, 2021, LIMNOL OCEANOGR, V66, P3682, DOI 10.1002/lno.11909
Bouman HA, 2011, ENV MICROBIOL REP, V3, P473, DOI 10.1111/j.1758-2229.2011.00241.x
Brown SL, 2008, DEEP-SEA RES PT II, V55, P1321, DOI 10.1016/j.dsr2.2008.02.012
CAMPBELL L, 1994, LIMNOL OCEANOGR, V39, P954, DOI 10.4319/lo.1994.39.4.0954
Casey JR, 2019, LIMNOL OCEANOGR, V64, P1819, DOI 10.1002/lno.11153
Chelton DB, 2011, PROG OCEANOGR, V91, P167, DOI 10.1016/j.pocean.2011.01.002
Chen IMA, 2019, NUCLEIC ACIDS RES, V47, pD666, DOI 10.1093/nar/gky901
Chen YLL, 2007, J OCEANOGR, V63, P671, DOI 10.1007/s10872-007-0059-9
Cole JR, 2014, NUCLEIC ACIDS RES, V42, pD633, DOI 10.1093/nar/gkt1244
Connell PE, 2020, AQUAT MICROB ECOL, V85, P167, DOI 10.3354/ame01950
Cruz BN, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01864
Dai M, 2008, BIOGEOSCIENCES, V5, P1227, DOI 10.5194/bg-5-1227-2008
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Devresse Q, 2022, BIOGEOSCIENCES, V19, P5199, DOI 10.5194/bg-19-5199-2022
Dore JE, 2008, PROG OCEANOGR, V76, P2, DOI 10.1016/j.pocean.2007.10.002
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
FALKOWSKI PG, 1991, NATURE, V352, P55, DOI 10.1038/352055a0
Fourquez M., 2021, PREPRINT, DOI [10.1002/essoar.10509393.1, DOI 10.1002/ESSOAR.10509393.1]
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Garrison DL, 2000, DEEP-SEA RES PT II, V47, P1387, DOI 10.1016/S0967-0645(99)00148-4
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2009, AQUAT MICROB ECOL, V56, P1, DOI 10.3354/ame01310
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Hammerl JA, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.00445-15
Hernández-Hernández N, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00667
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
Hu C, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.612053
Hu ZF, 2014, ACTA OCEANOL SIN, V33, P118, DOI 10.1007/s13131-014-0431-8
Huang YB, 2019, LIMNOL OCEANOGR, V64, P2202, DOI 10.1002/lno.11179
Karl DM, 1999, ECOSYSTEMS, V2, P181, DOI 10.1007/s100219900068
Kawasaki N, 2011, AQUAT MICROB ECOL, V62, P165, DOI 10.3354/ame01462
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 1998, DEEP-SEA RES PT I, V45, P347, DOI 10.1016/S0967-0637(97)00075-7
Lange PK, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060847
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Li BL, 2011, MAR ECOL PROG SER, V440, P27, DOI 10.3354/meps09345
Liu HR, 2024, LIMNOL OCEANOGR, V69, P834, DOI 10.1002/lno.12529
Liu HB, 2007, DEEP-SEA RES PT II, V54, P1602, DOI 10.1016/j.dsr2.2007.05.004
Liu L, 2023, SCI ADV, V9, DOI 10.1126/sciadv.ade2078
Lonborg C, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00090
Longnecker K, 2005, APPL ENVIRON MICROB, V71, P7737, DOI 10.1128/AEM.71.12.7737-7749.2005
Lopez Angel, 2018, ECMWR
Otero-Ferrer JL, 2018, BIOGEOSCIENCES, V15, P6199, DOI 10.5194/bg-15-6199-2018
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
Mikaelyan AS, 2023, PROG OCEANOGR, V212, DOI 10.1016/j.pocean.2023.102984
Mojica KDA, 2020, MICROB ECOL, V79, P213, DOI 10.1007/s00248-019-01393-9
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Munson-McGee JH, 2022, NATURE, V612, P764, DOI 10.1038/s41586-022-05505-3
Nagata T, 2000, LIMNOL OCEANOGR, V45, P426, DOI 10.4319/lo.2000.45.2.0426
National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA), 2024, Elevated heterotrophic prokaryotic production supported by low nucleic acid prokaryotes at a cyclonic eddy edge in the Northwest Pacific Dataset
Nelson CE, 2014, ENVIRON MICROBIOL, V16, P871, DOI 10.1111/1462-2920.12241
Ni J., 2024, Science Data Bank
OLSON RJ, 1990, DEEP-SEA RES, V37, P1033, DOI 10.1016/0198-0149(90)90109-9
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pomeroy LR, 2001, AQUAT MICROB ECOL, V23, P187, DOI 10.3354/ame023187
Qiu B, 2014, J PHYS OCEANOGR, V44, P3079, DOI 10.1175/JPO-D-14-0071.1
Raven JA, 1998, FUNCT ECOL, V12, P503, DOI 10.1046/j.1365-2435.1998.00233.x
Rii YM, 2008, DEEP-SEA RES PT II, V55, P1275, DOI 10.1016/j.dsr2.2008.01.013
Rii YM, 2016, MAR ECOL PROG SER, V562, P1, DOI 10.3354/meps11954
Robidart JC, 2019, ISME J, V13, P374, DOI 10.1038/s41396-018-0280-0
Rowe JM, 2012, FEMS MICROBIOL ECOL, V79, P359, DOI 10.1111/j.1574-6941.2011.01223.x
Ruiz-González C, 2012, LIMNOL OCEANOGR, V57, P1376, DOI 10.4319/lo.2012.57.5.1376
Sánchez O, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76590-5
Santos-Garcia D, 2023, PEER COMMUNITY J, V3, DOI 10.24072/pcjournal.269
Scharek R, 2007, AQUAT MICROB ECOL, V46, P153, DOI 10.3354/ame046153
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
Shi Z, 2019, J GEOPHYS RES-BIOGEO, V124, P3507, DOI 10.1029/2019JG005095
Singh A, 2015, J SEA RES, V97, P5, DOI 10.1016/j.seares.2014.12.002
Sommer U, 2006, OECOLOGIA, V147, P183, DOI 10.1007/s00442-005-0320-0
Tarran GA, 2006, DEEP-SEA RES PT II, V53, P1516, DOI 10.1016/j.dsr2.2006.05.004
Taylor AG, 2018, MAR ECOL PROG SER, V592, P1, DOI 10.3354/meps12526
Torréton JP, 2000, AQUAT MICROB ECOL, V21, P125, DOI 10.3354/ame021125
Vaillancourt RD, 2003, DEEP-SEA RES PT I, V50, P829, DOI 10.1016/S0967-0637(03)00059-1
Van Wambeke F, 2011, BIOGEOSCIENCES, V8, P1853, DOI 10.5194/bg-8-1853-2011
Vargas CA, 2004, AQUAT MICROB ECOL, V34, P151, DOI 10.3354/ame034151
Vila-Costa M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-36635-2
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Wang L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0153735
Wang Y, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15041062
Wei YQ, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.691367
Wei YQ, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.629
Wetz MS, 2004, MAR ECOL PROG SER, V272, P49, DOI 10.3354/meps272049
Worden AZ, 2004, LIMNOL OCEANOGR, V49, P168, DOI 10.4319/lo.2004.49.1.0168
Zhang JZ, 2000, DEEP-SEA RES PT I, V47, P1157, DOI 10.1016/S0967-0637(99)00085-0
Zhu Y, 2013, ANAL CHIM ACTA, V794, P47, DOI 10.1016/j.aca.2013.08.009
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
NR 101
TC 0
Z9 0
PD NOV
PY 2024
VL 129
IS 11
AR e2024JC021414
DI 10.1029/2024JC021414
UT WOS:001370000700001
DA 2025-07-30
ER
PT J
AU Sieradzki, ET
Fuhrman, JA
Rivero-Calle, S
Gómez-Consamau, L
AF Sieradzki, Ella T.
Fuhrman, Jed A.
Rivero-Calle, Sara
Gomez-Consamau, Laura
TI Proteorhodopsins dominate the expression of phototrophic mechanisms in
seasonal and dynamic marine picoplankton communities
SO PEERJ
DT Article
AB The most abundant and ubiquitous microbes in the surface ocean use light as an energy source, capturing it via complex chlorophyll-based photosystems or simple retinal-based rhodopsins. Studies in various ocean regimes compared the abundance of these mechanisms, but few investigated their expression. Here we present the first full seasonal study of abundance and expression of light-harvesting mechanisms (proteorhodopsin, PR; aerobic anoxygenic photosynthesis, AAnP; and oxygenic photosynthesis, PSI) from deepsequenced metagenomes and metatranscriptomes of marine picoplankton (< 1 mu m) at three coastal stations of the San Pedro Channel in the Pacific Ocean. We show that, regardless of season or sampling location, the most common phototrophic mechanism in metagenomes of this dynamic region was PR (present in 65-104% of the genomes as estimated by single-copy recA), followed by PSI (5-104%) and AAnP (5-32%). Furthermore, the normalized expression (RNA to DNA ratio) of PR genes was higher than that of oxygenic photosynthesis (average +/- standard deviation 26.2 +/- 8.4 vs. 11 +/- 9.7), and the expression of the AAnP marker gene was significantly lower than both mechanisms (0.013 +/- 0.02). We demonstrate that PR expression was dominated by the SAR11-cluster year-round, followed by other Alphaproteobacteria, unknown-environmental clusters and Gammaproteobacteria. This highly dynamic system further allowed us to identify a trend for PR spectral tuning, in which blue-absorbing PR genes dominate in areas with low chlorophyll-a concentrations (< 0.25 mu gL(-1)). This suggests that PR phototrophy is not an accessory function but instead a central mechanism that can regulate photoheterotrophic population dynamics.
C1 [Sieradzki, Ella T.; Fuhrman, Jed A.; Rivero-Calle, Sara; Gomez-Consamau, Laura] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
RP Sieradzki, ET (corresponding author), Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90007 USA.
EM ellasiera@berkeley.edu
CR [Anonymous], 2018, R PACKAGE PSYCH
[Anonymous], 2018, R PACKAGE RAM
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Boeuf D, 2015, DATABASE-OXFORD, DOI 10.1093/database/bav080
Boeuf D, 2013, FEMS MICROBIOL ECOL, V85, P417, DOI 10.1111/1574-6941.12130
Boeuft D, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01584
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Brindefalk B, 2016, ENVIRON MICROBIOL, V18, P4442, DOI 10.1111/1462-2920.13407
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Connell PE, 2017, DEEP-SEA RES PT I, V121, P210, DOI 10.1016/j.dsr.2017.01.007
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Nguyen D, 2015, ISME J, V9, P1835, DOI 10.1038/ismej.2015.1
Dubinsky V, 2017, ENVIRON MICROBIOL, V19, P1077, DOI 10.1111/1462-2920.13624
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Feng S, 2013, ISME J, V7, P2206, DOI 10.1038/ismej.2013.97
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Finn RD, 2016, NUCLEIC ACIDS RES, V44, pD279, DOI 10.1093/nar/gkv1344
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2016, ISME J, V10, P1102, DOI 10.1038/ismej.2015.196
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Hu SK, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw050
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ignacio-Espinoza JC, 2012, ENVIRON MICROBIOL, V14, P2113, DOI 10.1111/j.1462-2920.2012.02704.x
Johnson LS, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-431
Kahle D, 2013, R J, V5, P144
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kopf A, 2015, MAR GENOM, V19, P45, DOI 10.1016/j.margen.2014.11.001
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Marchetti A, 2015, ISME J, V9, P2745, DOI 10.1038/ismej.2015.74
Marchetti A, 2012, P NATL ACAD SCI USA, V109, pE317, DOI 10.1073/pnas.1118408109
Maresca JA, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.00137-18
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Patel A, 2007, NAT PROTOC, V2, P269, DOI 10.1038/nprot.2007.6
Philosof A, 2013, ENV MICROBIOL REP, V5, P475, DOI 10.1111/1758-2229.12037
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
Rocha DJP, 2015, ANTON LEEUW INT J G, V108, P685, DOI 10.1007/s10482-015-0524-1
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Sommer DD, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-64
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Vader A, 2018, ENVIRON MICROBIOL, V20, P890, DOI 10.1111/1462-2920.14035
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
Welschmeyer N., 1994, LAKE RESERV MANAGE, V9, P123
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Yutin N, 2012, BIOL DIRECT, V7, DOI 10.1186/1745-6150-7-34
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 71
TC 18
Z9 19
PD OCT 23
PY 2018
VL 6
AR e5798
DI 10.7717/peerj.5798
UT WOS:000448082800010
DA 2025-07-30
ER
PT J
AU Signori, CN
Pellizari, VH
Enrich-Prast, A
Sievert, SM
AF Signori, Camila N.
Pellizari, Vivian H.
Enrich-Prast, Alex
Sievert, Stefan M.
TI Spatiotemporal dynamics of marine bacterial and archaeal communities in
surface waters off the northern Antarctic Peninsula
SO DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
DT Article
AB Seasonal changes in taxonomic and functional diversity of microbial communities in polar regions are commonly observed, requiring strategies of microbes to adapt to the corresponding changes in environmental conditions. These natural fluctuations form the backdrop for changes induced by anthropogenic impacts. The main goal of this study was to assess the seasonal and temporal changes in bacterial and archaeal diversity and community structure off the northern Antarctic Peninsula over several seasons (spring, summer, autumn) from 2013 to 2015. Ten monitoring stations were selected across the Gerlache and Bransfield Straits and nearby Elephant Island, and archaeal and bacterial communities examined by amplicon sequencing of 16S rRNA genes. Alpha-diversity indices were higher in spring and correlated significantly with temperature. Spring was characterized by the presence of SAR11, and microbial communities remaining from winter, including representatives of Thaumarchaeota (Nimosopurnilus), Euryarchaeota, members of Oceanospirillales, SAR324. Summer and autumn were characterized by a high prevalence of Flavobacteria (NS5 marine group and Polaribacter), Alphaproizobacteria (Rhodobacterales and SAR11 Glade) and Gammaproteobacteria (Oceanospirillales/Balneatrix and Celivibrionales), generally known to be associated with organic matter degradation. Relatively higher abundance of phytoplankton groups occurred in spring, mainly characterized by the presence of the haptophyte Phaeocystis and the diatom Corethron, influencing the succession of heterotrophic bacterial communities. Microbial diversity and community structure varied significantly over time, but not over space, i.e., were similar between monitoring stations for the same time. In addition, the observed interannual variability in microbial community structure might be related to an increase in sea surface temperature. Environmental conditions related to seasonal variation, including temperature and most likely phytoplankton derived organic matter, appear to have triggered the observed shifts in microbial communities in the waters off the northern Antarctic Peninsula.
C1 [Signori, Camila N.; Pellizari, Vivian H.] Univ Sao Paulo, Inst Oceanog, Dept Oceanog Biol, Praca Oceanog 191, BR-05508900 Sao Paulo, SP, Brazil.
[Enrich-Prast, Alex] Linkoping Univ, Dept Themat Studies Environm Change, S-58183 Linkoping, Sweden.
[Enrich-Prast, Alex] Univ Fed Rio De Janeiro UFRJ, Inst Biol, Dept Bot, Av Carlos Chagas Filho 373, BR-21941902 Rio De Janeiro, Brazil.
[Sievert, Stefan M.] WHOI, Biol Dept, 266 Woods Hole Rd, Woods Hole, MA 02543 USA.
RP Signori, CN (corresponding author), Univ Sao Paulo, Inst Oceanog, Dept Oceanog Biol, Praca Oceanog 191, BR-05508900 Sao Paulo, SP, Brazil.; Sievert, SM (corresponding author), WHOI, Biol Dept, 266 Woods Hole Rd, Woods Hole, MA 02543 USA.
EM camisignori@hotmail.com; ssievert@whoi.edu
CR Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
Annett AL, 2010, POLAR BIOL, V33, P13, DOI 10.1007/s00300-009-0681-7
[Anonymous], THAUMARCHAEOTA POLAR
[Anonymous], UCHIME2 IMPROVED CHI, DOI [10.1101/074252, DOI 10.1101/074252]
[Anonymous], ISME J
[Anonymous], DEEP SEA RES 1
[Anonymous], NUCL ACIDS RES
[Anonymous], ISME J
[Anonymous], TITLE ERROR
Bahk JJ, 2003, GEOSCI J, V7, P135, DOI 10.1007/BF02910216
Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
Mendes CRB, 2012, DEEP-SEA RES PT I, V65, P1, DOI 10.1016/j.dsr.2012.03.002
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Bowman JS, 2016, BIOSCIENCE, V66, P829, DOI 10.1093/biosci/biw103
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cavicchioli R, 2015, NAT REV MICROBIOL, V13, P691, DOI 10.1038/nrmicro3549
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Dang HY, 2008, APPL ENVIRON MICROB, V74, P52, DOI 10.1128/AEM.01400-07
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
Díez B, 2004, LIMNOL OCEANOGR, V49, P1022
Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
Doval MD, 2002, DEEP-SEA RES PT II, V49, P663, DOI 10.1016/S0967-0645(01)00117-5
Ducklow HW, 2008, DEEP-SEA RES PT II, V55, P2118, DOI 10.1016/j.dsr2.2008.04.028
Ducklow HW, 2013, OCEANOGRAPHY, V26, P190, DOI 10.5670/oceanog.2013.62
Ducklow HW, 2012, J MARINE SYST, V98-99, P26, DOI 10.1016/j.jmarsys.2012.03.003
Ducklow HW., 2003, Biogeochemistry of the Ross Sea, V78, P143
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Faust K, 2015, CURR OPIN MICROBIOL, V25, P56, DOI 10.1016/j.mib.2015.04.004
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
GARCIA MA, 1994, ANN GEOPHYS, V12, P856, DOI 10.1007/s00585-994-0856-z
Garibotti IA, 2005, DEEP-SEA RES PT I, V52, P1823, DOI 10.1016/j.dsr.2005.05.003
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hewson I, 2006, MAR ECOL PROG SER, V311, P67, DOI 10.3354/meps311067
Jones JM, 2016, NAT CLIM CHANGE, V6, P917, DOI [10.1038/NCLIMATE3103, 10.1038/nclimate3103]
Jones SE, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00318
Kalanetra KM, 2009, ENVIRON MICROBIOL, V11, P2434, DOI 10.1111/j.1462-2920.2009.01974.x
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kim D, 2005, DEEP-SEA RES PT I, V52, P2140, DOI 10.1016/j.dsr.2005.06.008
Kim H, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00214
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lie AAY, 2013, AQUAT MICROB ECOL, V70, P93, DOI 10.3354/ame01652
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Luria CM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01731
Luria CM, 2014, AQUAT MICROB ECOL, V73, P107, DOI 10.3354/ame01703
Manganelli M, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006941
Martiny JBH, 2017, ISME J, V11, P490, DOI 10.1038/ismej.2016.122
Meredith MP, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024042
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00590
Moline MA, 2004, GLOBAL CHANGE BIOL, V10, P1973, DOI 10.1111/j.1365-2486.2004.00825.x
Montes-Hugo M, 2009, SCIENCE, V323, P1470, DOI 10.1126/science.1164533
Moreno-Pino M, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw088
Nikrad MP, 2014, ENVIRON MICROBIOL, V16, P1513, DOI 10.1111/1462-2920.12258
Paulson JN, 2013, NAT METHODS, V10, P1200, DOI [10.1038/NMETH.2658, 10.1038/nmeth.2658]
Pike J, 2009, MAR MICROPALEONTOL, V73, P14, DOI 10.1016/j.marmicro.2009.06.005
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Prézelin BB, 2000, J MAR RES, V58, P165, DOI 10.1357/002224000321511133
Rousseau V, 2000, J SEA RES, V43, P357, DOI 10.1016/S1385-1101(00)00018-6
Rozema PD, 2017, LIMNOL OCEANOGR, V62, P235, DOI 10.1002/lno.10391
Rozema PD, 2017, DEEP-SEA RES PT II, V139, P151, DOI 10.1016/j.dsr2.2016.11.016
Sangrà P, 2011, DEEP-SEA RES PT I, V58, P390, DOI 10.1016/j.dsr.2011.01.011
Schofield O, 2017, DEEP-SEA RES PT I, V124, P42, DOI 10.1016/j.dsr.2017.04.014
Schofield O, 2010, SCIENCE, V328, P1520, DOI 10.1126/science.1185779
Shade A, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00417
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Sher D, 2011, ISME J, V5, P1125, DOI 10.1038/ISMEJ.2011.1
Signori CN, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00647
Smetacek V, 2005, NATURE, V437, P362, DOI 10.1038/nature04161
Spring S, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00281
Stammerjohn SE, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004269
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tokarczyk R., 1987, Polish Polar Research, V8, P333
Tolar BB, 2016, ISME J, V10, P2605, DOI 10.1038/ismej.2016.61
Torstensson A, 2015, ENVIRON MICROBIOL, V17, P3869, DOI 10.1111/1462-2920.12865
Turner J, 2005, INT J CLIMATOL, V25, P279, DOI 10.1002/joc.1130
Turner J, 2016, NATURE, V535, P411, DOI 10.1038/nature18645
Vaughan DG, 2003, CLIMATIC CHANGE, V60, P243, DOI 10.1023/A:1026021217991
Venables HJ, 2013, LIMNOL OCEANOGR, V58, P1035, DOI 10.4319/lo.2013.58.3.1035
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Yawata Y, 2014, P NATL ACAD SCI USA, V111, P5622, DOI 10.1073/pnas.1318943111
Yung CM, 2015, ENVIRON MICROBIOL, V17, P2421, DOI 10.1111/1462-2920.12714
Zhou M, 2002, DEEP-SEA RES PT I, V49, P267, DOI 10.1016/S0967-0637(01)00062-0
NR 94
TC 23
Z9 24
PD MAR
PY 2018
VL 149
SI SI
BP 150
EP 160
DI 10.1016/j.dsr2.2017.12.017
UT WOS:000437037100014
DA 2025-07-30
ER
PT J
AU Montes, T
Guerrero-Feijóo, E
Moreira-Coello, V
Bode, A
Ruiz-Villarreal, M
Mouriño-Carballido, B
Varela, MM
AF Montes, Tania
Guerrero-Feijoo, Elisa
Moreira-Coello, Victor
Bode, Antonio
Ruiz-Villarreal, Manuel
Mourino-Carballido, Beatriz
Varela, Marta M.
TI Vertical zonation of bacterial assemblages attributed to physical
stratification during the summer relaxation of the coastal upwelling off
Galicia (NW Spain)
SO ESTUARINE COASTAL AND SHELF SCIENCE
DT Article
AB We combined flow cytometry, CARD-FISH, and 16S rRNA gene tag pyrosequencing to investigate bacter-ioplankton dynamics along a transect in shelf waters off A Coruna (Galicia, NW Spain). Over five days (16-20th July 2012) we sampled during the relaxation of a summer upwelling pulse, providing an opportunity to examine the impact of pulses of cold nutrient-rich water into coastal microbial communities. The hydrographic conditions, characterized by intense density stratification of surface waters and the presence of a deep chlorophyll maximum (DCM) at 20-30 m, were relatively maintained over the sampling period. Indeed, bacterial abundance and composition displayed low day to day variation. Alpha diversity analysis suggested that species richness and diversity increased from coastal to shelf stations and from the surface down to the coastal DCM, which could be caused by the mixing of upwelled bacteria with the coastal surface waters. SAR11, SAR86, and Roseobacter were the most abundant bacteria detected in the samples by using CARD-FISH. The assemblages observed by pyrosequencing displayed a strong vertical zonation along the transect. Rhodobacteraceae (under class Alphaproteobacteria) and Bacteriodetes dominated the surface waters and decreased during the upwelling pulse, while SAR 86 (under class Gammaproteobacteria), Actinobacteria and SAR11 Glade increased their relative abundance at the coastal DCM with upwelling relaxation, particularly at the shelf stations. Bacterial assemblages from surface waters were associated with higher temperature and light conditions, while coastal DCM assemblages were rather associated to salinity, inorganic nutrients and a diatom-bloom leading to high chlorophyll-a. Our findings suggest that the vertical variability in environmental conditions induced by the intense density stratification, the exportation of warmer and less saline surface water from the rias to the adjacent shelf, and the fertilizing effect of recently upwelled water at the deeper layer, determined the composition of distinct bacterial assemblages at the subsurface and DCM layers.
C1 [Montes, Tania] Univ A Coruna, Fac Ciencias, Campus Zapateira S-N, La Coruna 15071, Spain.
[Montes, Tania; Guerrero-Feijoo, Elisa; Bode, Antonio; Ruiz-Villarreal, Manuel; Varela, Marta M.] Inst Espanol Oceanog, Ctr Oceanog A Coruna, Apdo 130, La Coruna 15080, Spain.
[Moreira-Coello, Victor; Mourino-Carballido, Beatriz] Univ Vigo, Dept Ecol & Biol Anim, Vigo 36200, Spain.
RP Varela, MM (corresponding author), Inst Espanol Oceanog, Ctr Oceanog A Coruna, Apdo 130, La Coruna 15080, Spain.
EM marta.varela@ieo.es
CR ABELL GCJ, 2005, ECOLOGY, V51, P265, DOI DOI 10.1016/J.FEMSEC.2004.09.001
Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Alonso-Gutiérrez J, 2009, APPL ENVIRON MICROB, V75, P3407, DOI 10.1128/AEM.01776-08
Alvarez E, 2012, J PLANKTON RES, V34, P454, DOI 10.1093/plankt/fbs017
Alvarez-Salgado XA, 2000, ESTUAR COAST SHELF S, V51, P821, DOI 10.1006/ecss.2000.0714
Anderson AJ, 2008, For PRIMER: Guide to Software and Statistical Methods Plymouth
[Anonymous], 2000, ICES J MAR SCI
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Arnosti C, 2014, BIOGEOCHEMISTRY, V117, P5, DOI 10.1007/s10533-013-9906-5
Bachmann J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02836
Baltar F, 2007, AQUAT MICROB ECOL, V50, P63, DOI 10.3354/ame01156
Barquero S, 1998, SCI MAR, V62, P83
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
Bergen B, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00621
Bode A, 2004, AQUAT MICROB ECOL, V37, P95, DOI 10.3354/ame037095
Bode A, 1997, MAR BIOL, V129, P399, DOI 10.1007/s002270050180
Bode A, 2006, AQUAT MICROB ECOL, V43, P33, DOI 10.3354/ame043033
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Casas B, 1997, ESTUAR COAST SHELF S, V44, P767, DOI 10.1006/ecss.1996.0155
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dobal-Amador V, 2016, DEEP-SEA RES PT I, V114, P1, DOI 10.1016/j.dsr.2016.04.009
Eckert EM, 2012, ENVIRON MICROBIOL, V14, P794, DOI 10.1111/j.1462-2920.2011.02639.x
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Estrada M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0151699
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
FIGUEIRAS FG, 1991, MAR ECOL PROG SER, V76, P219, DOI 10.3354/meps076219
Fraga F, 1999, MAR ECOL PROG SER, V189, P65, DOI 10.3354/meps189065
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Glockner F.O., 2012, MARINE BOARD POSITIO
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Gonzalez-Nuevo G, 2014, J OPER OCEANOGR, V7, P47, DOI 10.1080/1755876X.2014.11020152
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Gregoraccl GB, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0137090
Guerrero-Feijóo E, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw224
Haas BJ, 2011, GENOME RES, V21, P494, DOI 10.1101/gr.112730.110
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hewson I, 2006, MAR ECOL PROG SER, V311, P67, DOI 10.3354/meps311067
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Latasa M, 2017, LIMNOL OCEANOGR, V62, P665, DOI 10.1002/lno.10452
Lomas MW, 2000, J PHYCOL, V36, P903, DOI 10.1046/j.1529-8817.2000.99029.x
Otero-Ferrer JL, 2018, BIOGEOSCIENCES, V15, P6199, DOI 10.5194/bg-15-6199-2018
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Mapelli F, 2013, OCEAN SCI, V9, P585, DOI 10.5194/os-9-585-2013
Morán XAG, 2007, AQUAT MICROB ECOL, V46, P141, DOI 10.3354/ame046141
Morris R.M., 2002, APPL ENVIRON MICROB, V70, P2836
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
NEVEUX J, 1987, ARCH HYDROBIOL, V109, P567
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Prandke H, 1998, OCEANS'98 - CONFERENCE PROCEEDINGS, VOLS 1-3, P179, DOI 10.1109/OCEANS.1998.725732
Reeder J, 2010, NAT METHODS, V7, P668, DOI 10.1038/nmeth0910-668b
Rodríguez-Ramos T, 2014, J PLANKTON RES, V36, P334, DOI 10.1093/plankt/fbt115
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Skerratt JH, 2002, MAR ECOL PROG SER, V244, P1, DOI 10.3354/meps244001
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2017, ENVIRON MICROBIOL, V19, P2379, DOI 10.1111/1462-2920.13748
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tully BJ, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-34
Valencia J, 2003, SCI MAR, V67, P143, DOI 10.3989/scimar.2003.67n2143
Varela M, 2005, ESTUAR COAST SHELF S, V64, P721, DOI 10.1016/j.ecss.2005.03.023
Varela M, 2001, CONT SHELF RES, V21, P1815, DOI 10.1016/S0278-4343(01)00032-2
Varela M.M., 2017, INVENTARIO BIODIVERS, P570
Varela MM, 2003, ACTA OECOL, V24, pS77, DOI 10.1016/S1146-609X(03)00015-8
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Walsh EA, 2015, AQUAT MICROB ECOL, V75, P1, DOI 10.3354/ame01746
Wang J, 2007, ACM T GRAPHIC, V26, DOI 10.1145/1239451.1239460
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zäncker B, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02699
Zhou J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01201
NR 90
TC 5
Z9 5
PD OCT 30
PY 2020
VL 245
AR 106791
DI 10.1016/j.ecss.2020.106791
UT WOS:000582677500001
DA 2025-07-30
ER
PT J
AU Bakenhus, I
Dlugosch, L
Billerbeck, S
Giebel, HA
Milke, F
Simon, M
AF Bakenhus, Insa
Dlugosch, Leon
Billerbeck, Sara
Giebel, Helge-Ansgar
Milke, Felix
Simon, Meinhard
TI Composition of Total and Cell-Proliferating Bacterioplankton Community
in Early Summer in the North Sea - Roseobacters Are the Most Active
Component
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Heterotrophic bacterioplankton communities play an important role in organic matter processing in the oceans worldwide. In order to investigate the significance of distinct phylogenetic bacterial groups it is not only important to assess their quantitative abundance but also their growth dynamics in relation to the entire bacterioplankton. Therefore bacterial abundance, biomass production and the composition of the entire and cell-proliferating bacterioplankton community were assessed in North Sea surface waters between the German Bight and 58 degrees N in early summer by applying catalyzed reporter deposition (CARD-FISH) and bromodeoxyuridine fluorescence in situ hybridization (BrdU-FISH). Bacteroidetes and the Roseobacter group dominated the cell-proliferating fraction with 10-55 and 8-31% of total BrdU-positive cells, respectively. While Bacteroidetes also showed high abundances in the total bacterial fraction, roseobacters constituted only 1-9% of all cells. Despite abundances of up to 55% of total bacterial cells, the SAR11 clade constituted <6% of BrdU-positive cells. Gammaproteobacteria accounted for 2-16% of the total and 2-13% of the cell-proliferating cells. Within the two most active groups, BrdU-positive cells made up 28% of Bacteroidetes as an overall mean and 36% of roseobacters. Estimated mean growth rates of Bacteroidetes and the Roseobacter group were 1.2 and 1.5 day(-1), respectively, and much higher than bulk growth rates of the bacterioplankton whereas those of the SAR11 clade and Gammaproteobacteria were 0.04 and 0.21 day(-1), respectively, and much lower than bulk growth rates. Only numbers of total and cell-proliferating roseobacters but not those of Bacteroidetes and the other groups were significantly correlated to chlorophyll fluorescence and bacterioplankton biomass production. The Roseobacter group, besides Bacteroidetes, appeared to be a major player in processing phytoplankton derived organic matter despite its low partitioning in the total bacterioplankton community.
C1 [Bakenhus, Insa; Dlugosch, Leon; Billerbeck, Sara; Giebel, Helge-Ansgar; Milke, Felix; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.
RP Simon, M (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.
EM m.simon@icbm.de
CR Alonso-Sáez L, 2012, LIMNOL OCEANOGR, V57, P798, DOI 10.4319/lo.2012.57.3.0798
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bennke CM, 2013, SYST APPL MICROBIOL, V36, P417, DOI 10.1016/j.syapm.2013.05.002
Brinkmeyer R, 2000, EUR J PHYCOL, V35, P315, DOI 10.1017/S096702620000295X
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, VSecond, P243, DOI DOI 10.1002/9780470281840.CH8
Fuchs BM, 2000, APPL ENVIRON MICROB, V66, P3603, DOI 10.1128/AEM.66.8.3603-3607.2000
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Hellman M, 2011, J MICROBIOL METH, V86, P376, DOI 10.1016/j.mimet.2011.05.020
Longnecker K, 2010, AQUAT MICROB ECOL, V58, P153, DOI 10.3354/ame01366
Lucas J, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv099
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Lunau M, 2006, LIMNOL OCEANOGR, V51, P847, DOI 10.4319/lo.2006.51.2.0847
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
McQuatters-Gollop A, 2007, LIMNOL OCEANOGR, V52, P635, DOI 10.4319/lo.2007.52.2.0635
Milici M, 2016, SCI REP-UK, V6, DOI 10.1038/srep19054
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Osterholz H, 2016, ISME J, V10, P1717, DOI 10.1038/ismej.2015.231
Osterholz H, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8422
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P5728, DOI 10.1128/AEM.68.11.5728-5736.2002
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tada Y, 2013, POLAR BIOL, V36, P691, DOI 10.1007/s00300-013-1294-8
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Urbach E, 1999, APPL ENVIRON MICROB, V65, P1207
Varaljay VA, 2015, ISME J, V9, P1677, DOI 10.1038/ismej.2015.23
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Yilmaz LS, 2011, APPL ENVIRON MICROB, V77, P1118, DOI 10.1128/AEM.01733-10
NR 48
TC 24
Z9 26
PD SEP 13
PY 2017
VL 8
AR 1771
DI 10.3389/fmicb.2017.01771
UT WOS:000410482000002
DA 2025-07-30
ER
PT J
AU Dadon-Pilosof, A
Conley, K
Lombard, F
Sutherland, KR
Genin, A
Richter, M
Glöckner, FO
Yahel, G
AF Dadon-Pilosof, Ayelet
Conley, Keats
Lombard, Fabien
Sutherland, Kelly R.
Genin, Amatzia
Richter, Michael
Gloeckner, Frank Oliver
Yahel, Gitai
TI Differential clearance rates of microbial phylotypes by four
appendicularian species
SO MARINE ECOLOGY PROGRESS SERIES
DT Article
AB Appendicularians are abundant planktonic filter feeders that play a significant role in the pelagic food web due to their high clearance rates. Their diet and feeding rates have typically been measured as bulk chlorophyll or cell removal, with some attention given to prey size but no differentiation between the microbial phylotypes. Using a combination of in situ and laboratory incubations with flow cytometry and next-generation sequencing, we found species-specific differences in clearance rates and diet compositions of 4 common species: Oikopleura albicans, O. fusiformis, O. longicauda, and O. dioica. While O. albicans most efficiently removed nano-eukaryotic algae, the other smaller species preferentially removed micron-sized pico-eukaryotic algae. Pico- and nano-eukaryotic cells constituted the major food source of the studied appendicularians despite their occurrence in oligotrophic water dominated by prokaryotic cells. Across species, pico- and nano-planktonic microalgae biomass comprised 45 to 75% of the appendicularian diets. Although non-photosynthetic bacteria were removed at lower rates than all other prey groups, their total contribution to the appendicularian diet was not trivial, representing 5 to 19% of the planktonic carbon in the appendicularian diet; pico-cyanobacteria contributed an additional 9 to 18%. Removal rates and efficiencies of pico-eukaryotes were higher than those of prokaryotes of similar size. Strikingly different clearance rates were observed for different prokaryotic phylotypes, indicating that factors other than size are involved in determining the capturability of the cells. Collectively, our findings provide additional evidence for differential retention of microbial prey among mucous-mesh grazers and its substantial effect on the upper-ocean microbial community.
C1 [Dadon-Pilosof, Ayelet; Yahel, Gitai] Ruppin Acad Ctr, Fac Marine Sci, IL-4029700 Mikhmoret, Israel.
[Dadon-Pilosof, Ayelet; Genin, Amatzia] Hebrew Univ Jerusalem, Dept Ecol Evolut & Behav, IL-9190401 Jerusalem, Israel.
[Conley, Keats; Sutherland, Kelly R.] Univ Oregon, Oregon Inst Marine Biol, Eugene, OR 97420 USA.
[Lombard, Fabien] Sorbonne Univ, Inst Mer Villefranche Mer IMEV, Lab Oceanographie Villefranche Mer, F-06230 Villefranche Sur Mer, France.
[Lombard, Fabien] Inst Univ France, F-75005 Paris, France.
[Genin, Amatzia] Interuniv Inst Marine Sci Eilat, IL-88103 Elat, Israel.
[Richter, Michael] Ribocon GmbH, Fahrenheitstr 1, D-28359 Bremen, Germany.
[Richter, Michael] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Handelshafen 12, D-27570 Bremerhaven, Germany.
[Yahel, Gitai] Jacobs Univ, Campus Ring 1, Bremen, Germany.
RP Dadon-Pilosof, A (corresponding author), Ruppin Acad Ctr, Fac Marine Sci, IL-4029700 Mikhmoret, Israel.; Dadon-Pilosof, A (corresponding author), Hebrew Univ Jerusalem, Dept Ecol Evolut & Behav, IL-9190401 Jerusalem, Israel.
EM ayelet@ruppin.ac.il
CR Acuña JL, 1999, MAR ECOL PROG SER, V186, P149, DOI 10.3354/meps186149
Acuna JL, 1996, LIMNOL OCEANOGR, V41, P1800
ALLDREDGE A, 1976, SCI AM, V235, P94, DOI 10.1038/scientificamerican0776-94
ALLDREDGE AL, 1976, LIMNOL OCEANOGR, V21, P14, DOI 10.4319/lo.1976.21.1.0014
ALLDREDGE AL, 1981, LIMNOL OCEANOGR, V26, P247, DOI 10.4319/lo.1981.26.2.0247
ALLDREDGE AL, 1976, MAR BIOL, V38, P29, DOI 10.1007/BF00391483
ALLDREDGE AL, 1977, J ZOOL, V181, P175
ALLDREDGE AL, 1988, PROG OCEANOGR, V20, P41, DOI 10.1016/0079-6611(88)90053-5
[Anonymous], 2002, Statistical Methods for the Analysis of Repeated Measurements
BEDO AW, 1993, B MAR SCI, V53, P2
Bochdansky AB, 1999, J EXP MAR BIOL ECOL, V233, P181, DOI 10.1016/S0022-0981(98)00109-9
Boyce DG, 2015, ECOL LETT, V18, P504, DOI 10.1111/ele.12434
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buitenhuis ET, 2012, EARTH SYST SCI DATA, V4, P37, DOI 10.5194/essd-4-37-2012
Calbet A, 2004, LIMNOL OCEANOGR, V49, P51, DOI 10.4319/lo.2004.49.1.0051
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHESSON J, 1978, ECOLOGY, V59, P211, DOI 10.2307/1936364
CHESSON J, 1983, ECOLOGY, V64, P1297, DOI 10.2307/1937838
Conley KR, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0056
Conley KR, 2018, LIMNOL OCEANOGR, V63, P927, DOI 10.1002/lno.10680
Conley KR, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183105
CUNNINGHAM A, 1992, J PLANKTON RES, V14, P223, DOI 10.1093/plankt/14.2.223
D'Alelio D, 2016, SCI REP-UK, V6, DOI 10.1038/srep21806
Dadon-Pilosof A, 2019, LIMNOL OCEANOGR, V64, P1996, DOI 10.1002/lno.11165
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Dagg MJ, 1996, J MAR RES, V54, P149, DOI 10.1357/0022240963213466
DEIBEL D, 1985, MAR BIOL, V86, P47, DOI 10.1007/BF00392578
DEIBEL D, 1987, MAR ECOL PROG SER, V39, P81, DOI 10.3354/meps039081
Deibel D., 1998, P139
DEIBEL D, 1992, MAR ECOL PROG SER, V81, P25, DOI 10.3354/meps081025
Fernández D, 2004, MAR ECOL PROG SER, V266, P89, DOI 10.3354/meps266089
FLOOD PR, 1992, NATURE, V355, P630, DOI 10.1038/355630a0
Garcia NS, 2016, ISME J, V10, P2715, DOI 10.1038/ismej.2016.50
GERRITSEN J, 1982, SCIENCE, V216, P1225, DOI 10.1126/science.216.4551.1225
Gorsky G, 1999, J GEOPHYS RES-OCEANS, V104, P3381, DOI 10.1029/98JC01850
Gorsky G., 1998, P161
GORSKY G, 1984, ESTUAR COAST SHELF S, V18, P13, DOI 10.1016/0272-7714(84)90003-9
HARBISON GR, 1979, LIMNOL OCEANOGR, V24, P875, DOI 10.4319/lo.1979.24.5.0875
Hopcroft RR, 1999, J PLANKTON RES, V21, P1923, DOI 10.1093/plankt/21.10.1923
Hopcroft RR, 1998, J PLANKTON RES, V20, P557, DOI 10.1093/plankt/20.3.557
Houlbrèque F, 2006, AQUAT MICROB ECOL, V44, P59, DOI 10.3354/ame044059
Jacobi Y, 2021, LIMNOL OCEANOGR, V66, P1009, DOI 10.1002/lno.11658
KING KR, 1980, MAR BIOL, V56, P49, DOI 10.1007/BF00390593
LANDRY MR, 1994, MAR ECOL PROG SER, V115, P55, DOI 10.3354/meps115055
Lawrence J, 2018, LIMNOL OCEANOGR, V63, pS244, DOI 10.1002/lno.10734
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Lombard F, 2011, LIMNOL OCEANOGR, V56, P1504, DOI 10.4319/lo.2011.56.4.1504
Lombard F, 2010, MAR ECOL PROG SER, V398, P109, DOI 10.3354/meps08273
Lombard F, 2010, DEEP-SEA RES PT I, V57, P1304, DOI 10.1016/j.dsr.2010.06.008
Lombard F, 2010, LIMNOL OCEANOGR, V55, P77, DOI 10.4319/lo.2010.55.1.0077
López-Urrutia A, 2003, MAR ECOL PROG SER, V252, P143, DOI 10.3354/meps252143
Lundgreen RBC, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45146-7
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Riisgård HU, 2001, MAR ECOL PROG SER, V211, P275, DOI 10.3354/meps211275
ROBERTSON BR, 1989, CYTOMETRY, V10, P70, DOI 10.1002/cyto.990100112
RUBENSTEIN DI, 1977, AM NAT, V111, P981, DOI 10.1086/283227
Sato R, 2004, RESPONSE MARINE ECOS, P197
Scheinberg RD, 2005, MAR ECOL PROG SER, V294, P201, DOI 10.3354/meps294201
Selander E, 2003, MAR BIOL, V142, P263, DOI 10.1007/s00227-002-0949-8
SILVESTER NR, 1983, J THEOR BIOL, V103, P265, DOI 10.1016/0022-5193(83)90028-0
SIMON N, 1994, J PHYCOL, V30, P922, DOI 10.1111/j.0022-3646.1994.00922.x
Sommer U, 2002, MAR ECOL PROG SER, V239, P251, DOI 10.3354/meps239251
Sutherland KR, 2022, LIMNOL OCEANOGR, V67, P102, DOI 10.1002/lno.11979
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Tarao M, 2009, APPL ENVIRON MICROB, V75, P4720, DOI 10.1128/AEM.00251-09
Tiselius P, 2003, MAR BIOL, V142, P253, DOI 10.1007/s00227-002-0961-z
Tönnesson K, 2005, MAR BIOL RES, V1, P365, DOI 10.1080/17451000500396435
Uysal Z, 2001, J PLANKTON RES, V23, P175, DOI 10.1093/plankt/23.2.175
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Worden A.Z., 2008, Microbial Ecology of the Ocean, P159
Zubkov MV, 2004, J MAR BIOL ASSOC UK, V84, P519, DOI 10.1017/S002531540400952Xh
NR 77
TC 4
Z9 4
PD FEB 23
PY 2023
VL 706
BP 73
EP 89
DI 10.3354/meps14233
UT WOS:000946221000006
DA 2025-07-30
ER
PT J
AU Ozbayram, EG
Köker, L
Oguz, A
Zengin, Z
Akçaalan, R
Albay, M
AF Ozbayram, E. Gozde
Koker, Latife
Oguz, Ayca
Zengin, Zuhal
Akcaalan, Reyhan
Albay, Meric
TI Seasonal dynamics of bacterial communities in a highly polluted coastal
lagoon: Dominance of sulfur bacteria in response to elevated H2S levels
SO MARINE POLLUTION BULLETIN
DT Article
AB This study aims to evaluate the effects of different environmental gradients and seasonality on the bacterial communities of an impacted coastal lagoon. While the community compositions were homogenous in surface waters with the dominance of Candidatus Pelagibacter, diversity showed high vertical variation due to salinity and dissolved oxygen gradients. Anoxic conditions occurred at deeper parts of the lagoon, particularly at 14 m and 18 m, where nutrient enrichment and high H2S concentration were detected resulting in a shift of bacterial community to anoxic species. Sulfurimonas, Sulfurovum, and Desulfobacula were dominant genera at 14 m and 18 m where the H2S concentration was high. The community composition of the sediment did not change over seasons, dominated by Syntrophus species. The insights gained from this study may contribute to understanding how dissolved oxygen, H2S concentrations and salinity drive bacterial community structure in euxinic ecosystems especially the dominance of anoxic bacteria.
C1 [Ozbayram, E. Gozde; Koker, Latife; Oguz, Ayca; Zengin, Zuhal; Akcaalan, Reyhan; Albay, Meric] Istanbul Univ, Fac Aquat Sci, Dept Marine & Freshwater Resources Management, TR-34134 Istanbul, Turkiye.
RP Ozbayram, EG (corresponding author), Istanbul Univ, Fac Aquat Sci, Dept Marine & Freshwater Resources Management, TR-34134 Istanbul, Turkiye.
EM gozde.ozbayram@istanbul.edu.tr
CR Akcaalan R, 2014, TOXINS, V6, P3173, DOI 10.3390/toxins6113173
Albay M, 2005, ENVIRON TOXICOL, V20, P277, DOI 10.1002/tox.20118
Aldeguer-Riquelme B, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.937683
Amaral R, 2013, WATER SCI TECHNOL, V67, P2739, DOI 10.2166/wst.2013.180
Banchi E, 2021, FRONT MAR SCI, V08, DOI 10.3389/fmars.2021.762292
BERNER RA, 1984, GEOCHIM COSMOCHIM AC, V48, P605, DOI 10.1016/0016-7037(84)90089-9
BERNER RA, 1989, GLOBAL PLANET CHANGE, V75, P97
Bhadury P, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00177
Bhatnagar S, 2020, ENVIRON MICROBIOME, V15, DOI 10.1186/s40793-019-0348-0
Bok F, 2023, Front Nucl Eng, V2, DOI [10.3389/fnuen.2023.1158109, DOI 10.3389/FNUEN.2023.1158109]
Bush T, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00912-x
Cadena S, 2019, ESTUAR COAST SHELF S, V230, DOI 10.1016/j.ecss.2019.106433
CARLSON RE, 1977, LIMNOL OCEANOGR, V22, P361, DOI 10.4319/lo.1977.22.2.0361
Choi A, 2022, MAR POLLUT BULL, V178, DOI 10.1016/j.marpolbul.2022.113603
Clarke K. R., 2006, PRIMER V 6 USER MANU
Duval C, 2018, HARMFUL ALGAE, V73, P58, DOI 10.1016/j.hal.2018.01.008
Gaaloul N, 2022, MAR POLLUT BULL, V179, DOI 10.1016/j.marpolbul.2022.113445
Ghai R, 2012, SCI REP-UK, V2, DOI 10.1038/srep00490
Gómez-León A, 2018, MAR POLLUT BULL, V130, P31, DOI 10.1016/j.marpolbul.2018.03.013
Griffith DM, 2016, J STAT SOFTW, V69, P1
Gungor N., 1999, TOXICOL ENVIRON CHEM, V69, P101, DOI [10.1080/02772249909358691, DOI 10.1080/02772249909358691]
Gürevin C, 2017, INT J SEDIMENT RES, V32, P527, DOI 10.1016/j.ijsrc.2016.08.002
Han YC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00989
Herbert ER, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00534.1
Köker L, 2021, TOXICON, V198, P156, DOI 10.1016/j.toxicon.2021.05.005
Koker L., 2023, KUCUKCEKMECE LAGOON, V26, DOI [10.3390/ecws-7-14246, DOI 10.3390/ECWS-7-14246]
Laque T, 2010, MICROB ECOL, V59, P819, DOI 10.1007/s00248-010-9642-5
Legrand B, 2019, SCI TOTAL ENVIRON, V687, P1369, DOI 10.1016/j.scitotenv.2019.07.100
Li JJ, 2017, MAR POLLUT BULL, V125, P199, DOI 10.1016/j.marpolbul.2017.08.026
Lin W, 2023, J HAZARD MATER, V457, DOI 10.1016/j.jhazmat.2023.131762
Martinez-Cruz K, 2017, SCI TOTAL ENVIRON, V607, P23, DOI 10.1016/j.scitotenv.2017.06.187
Mohapatra M, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.134729
Newton A, 2018, J NAT CONSERV, V44, P50, DOI 10.1016/j.jnc.2018.02.009
Ozsefil Ibrahim Cem, 2023, Chemosphere, V339, P139675, DOI 10.1016/j.chemosphere.2023.139675
Pagliara P, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9102048
Pal S, 2015, J PALEOLIMNOL, V54, P87, DOI 10.1007/s10933-015-9839-1
Pilon S, 2019, LAKE RESERV MANAGE, V35, P102, DOI 10.1080/10402381.2018.1549625
Rahhou Abderrahmane, 2022, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1090/1/012009
Reese BK, 2008, SCI TOTAL ENVIRON, V406, P205, DOI 10.1016/j.scitotenv.2008.07.021
Sampei Y, 1997, GEOCHEM J, V31, P245, DOI 10.2343/geochemj.31.245
Schunck H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068661
Selak L, 2022, SCI TOTAL ENVIRON, V849, DOI 10.1016/j.scitotenv.2022.157859
Shi ZY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2022.109820
Team RC, 2021, R LANG ENV STAT COMP, V1, P371
van Vliet DM, 2021, ENVIRON MICROBIOL, V23, P2834, DOI 10.1111/1462-2920.15265
Wang HJ, 2021, J ENVIRON SCI, V102, P11, DOI 10.1016/j.jes.2020.09.004
Xiao R, 2023, ECOTOX ENVIRON SAFE, V249, DOI 10.1016/j.ecoenv.2022.114445
Yu SX, 2018, PEERJ, V6, DOI 10.7717/peerj.4272
NR 48
TC 0
Z9 0
PD DEC
PY 2024
VL 209
AR 117186
DI 10.1016/j.marpolbul.2024.117186
EA NOV 2024
PN A
UT WOS:001350876700001
DA 2025-07-30
ER
PT J
AU Ferrera, I
Giner, CR
Reñé, A
Camp, J
Massana, R
Gasol, JM
Garcés, E
AF Ferrera, Isabel
Giner, Caterina R.
Rene, Albert
Camp, Jordi
Massana, Ramon
Gasol, Josep M.
Garces, Esther
TI Evaluation of Alternative High-Throughput Sequencing Methodologies for
the Monitoring of Marine Picoplanktonic Biodiversity Based on rRNA Gene
Amplicons
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Sequencing of rRNA gene polymerase chain reaction amplicons (rRNA tags) is the most common approach for investigating microbial diversity. The recent development of high-throughput sequencing (HTS) technologies has enabled the exploration of microbial biodiversity at an unprecedented scale, greatly expanding our knowledge on the microbiomes of marine ecosystems. These approaches provide accurate, fast, and cost efficient observations of the marine communities, and thus, may be suitable tools in biodiversity monitoring programs. To reach this goal, consistent and comparable methodologies must be used over time and within sites. Here, we have performed a cross-platform study of the two most common HTS methodologies, i.e., 454-pyrosequencing and Illumina tags to evaluate their usefulness in biodiversity monitoring and assessment of environmental status. Picoplankton biodiversity has been compared through both methodologies by sequencing the 16 and 18S rRNA genes of a set of samples collected in the coast of Barcelona (NW Mediterranean). The results show that, despite differences observed in the rare OTUs retrieved, both platforms provide a comparable view of the marine picoplankton communities. On a taxonomic level, there was an accurate overlap in the detected phyla between the two methods and the overall estimates of alpha- and betadiversity were comparable. In addition, we explored the concept of "indicator species" and found that certain taxa (i.e., members of the Gammaproteobacteria among others) as well as the ratio between some phylogenetic groups (i.e., the ratio of Alphaproteobacteria/Gammaproteobacteria, Alteromonas/SAR11, and Alteromonas + Oceanospirillales/SAR11) have potential for being useful indicators of environmental status. The data show that implementing new protocols and identifying indicators of environmental status based on rRNA amplicon sequencing is feasible, and that is worth exploring whether the identified indices are universally applicable.
C1 [Ferrera, Isabel; Giner, Caterina R.; Rene, Albert; Camp, Jordi; Massana, Ramon; Gasol, Josep M.; Garces, Esther] CSIC, Biol Marina & Oceanog, Inst Ciencies Mar, Barcelona, Spain.
RP Ferrera, I (corresponding author), CSIC, Biol Marina & Oceanog, Inst Ciencies Mar, Barcelona, Spain.
EM iferrera@icm.csic.es
CR Acinas SG, 2005, APPL ENVIRON MICROB, V71, P8966, DOI 10.1128/AEM.71.12.8966-8969.2005
[Anonymous], TRENDS ECOL EVOL
Auguie B., 2016, Miscellaneous functions for "Grid
Beaugrand G, 2005, ICES J MAR SCI, V62, P333, DOI 10.1016/j.icesjms.2005.01.002
Berry D, 2011, APPL ENVIRON MICROB, V77, P7846, DOI 10.1128/AEM.05220-11
Birk S, 2012, ECOL INDIC, V18, P31, DOI 10.1016/j.ecolind.2011.10.009
Borja A, 2008, ECOL INDIC, V8, P395, DOI 10.1016/j.ecolind.2007.05.003
Borja A, 2000, MAR POLLUT BULL, V40, P1100, DOI 10.1016/S0025-326X(00)00061-8
Bourlat SJ, 2013, MAR POLLUT BULL, V74, P19, DOI 10.1016/j.marpolbul.2013.05.042
Brown CJ, 2010, GLOBAL CHANGE BIOL, V16, P1194, DOI 10.1111/j.1365-2486.2009.02046.x
Camp J., 2015, EXPERIENCES GROUND C, P135, DOI [10.1007/698-2015-392, DOI 10.1007/698_2015_392]
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Caruso G, 2016, CRIT REV MICROBIOL, V42, P883, DOI 10.3109/1040841X.2015.1087380
CHAO A, 1992, J AM STAT ASSOC, V87, P210, DOI 10.2307/2290471
Cheung MK, 2010, ISME J, V4, P1053, DOI 10.1038/ismej.2010.26
Cho I, 2012, NAT REV GENET, V13, P260, DOI 10.1038/nrg3182
Claesson MJ, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq873
Claudet J, 2010, BIOL CONSERV, V143, P2195, DOI 10.1016/j.biocon.2010.06.004
Cloern JE, 2008, ECOL LETT, V11, P1294, DOI 10.1111/j.1461-0248.2008.01244.x
Cloern JE, 2010, ESTUAR COAST, V33, P230, DOI 10.1007/s12237-009-9195-3
CONNELL JH, 1978, SCIENCE, V199, P1302, DOI 10.1126/science.199.4335.1302
Cucio C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00440
Dowd SE, 2008, FOODBORNE PATHOG DIS, V5, P205, DOI 10.1089/fpd.2007.0062
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Engelbrektson A, 2010, ISME J, V4, P642, DOI 10.1038/ismej.2009.153
Ferrat L, 2003, AQUAT TOXICOL, V65, P187, DOI 10.1016/S0166-445X(03)00133-4
Ferrera I, 2015, CURR OPIN MICROBIOL, V25, P33, DOI 10.1016/j.mib.2015.03.007
Flynn JM, 2015, ECOL EVOL, V5, P2252, DOI 10.1002/ece3.1497
Garrido L, 2014, SCI TOTAL ENVIRON, V468, P1154, DOI 10.1016/j.scitotenv.2013.08.065
Gevrey M, 2010, ENVIRON POLLUT, V158, P3209, DOI 10.1016/j.envpol.2010.07.006
Gilbert JA, 2014, BMC BIOL, V12, DOI 10.1186/s12915-014-0069-1
Glenn TC, 2011, MOL ECOL RESOUR, V11, P759, DOI 10.1111/j.1755-0998.2011.03024.x
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Halpern BS, 2008, SCIENCE, V319, P948, DOI 10.1126/science.1149345
Halpern BS, 2007, CONSERV BIOL, V21, P1301, DOI 10.1111/j.1523-1739.2007.00752.x
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
HILL MO, 1973, ECOLOGY, V54, P427, DOI 10.2307/1934352
Hoegh-Guldberg O, 2010, SCIENCE, V328, P1523, DOI 10.1126/science.1189930
Hong SH, 2009, ISME J, V3, P1365, DOI 10.1038/ismej.2009.89
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Keith AM, 2012, EUR J SOIL BIOL, V49, P55, DOI 10.1016/j.ejsobi.2011.08.002
Kirchman D.L., 2008, Microbial Ecology of the Oceans, V2nd
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Kunin V, 2010, ENVIRON MICROBIOL, V12, P118, DOI 10.1111/j.1462-2920.2009.02051.x
Liquete C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0067737
Lumbreras A, 2016, HYDROBIOLOGIA, V782, P187, DOI 10.1007/s10750-016-2697-7
Luo CW, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030087
Lynch MDJ, 2015, NAT REV MICROBIOL, V13, P217, DOI 10.1038/nrmicro3400
Magurran A. E., 1988, Ecological diversity and its measurement
Marbà N, 2013, HYDROBIOLOGIA, V704, P265, DOI 10.1007/s10750-012-1403-7
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Montefalcone M, 2009, ECOL INDIC, V9, P595, DOI 10.1016/j.ecolind.2008.09.013
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Nogales B, 2011, FEMS MICROBIOL REV, V35, P275, DOI 10.1111/j.1574-6976.2010.00248.x
Not F, 2005, LIMNOL OCEANOGR, V50, P1677, DOI 10.4319/lo.2005.50.5.1677
Not F, 2008, DEEP-SEA RES PT I, V55, P1456, DOI 10.1016/j.dsr.2008.06.007
Nurk Sergey, 2013, Research in Computational Molecular Biology. 17th Annual International Conference (RECOMB 2013). Proceedings, P158, DOI 10.1007/978-3-642-37195-0_13
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Pernice MC, 2016, ISME J, V10, P945, DOI 10.1038/ismej.2015.170
Pernice MC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057170
Podani J, 2010, ECOL INDIC, V10, P1119, DOI 10.1016/j.ecolind.2010.03.010
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Prosser JI, 2010, ENVIRON MICROBIOL, V12, P1806, DOI 10.1111/j.1462-2920.2010.02201.x
Ratan A, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055089
Romari K, 2004, LIMNOL OCEANOGR, V49, P784, DOI 10.4319/lo.2004.49.3.0784
Sánchez O, 2013, MICROB BIOTECHNOL, V6, P435, DOI 10.1111/1751-7915.12052
Schirmer M, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gku1341
Sinclair L, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116955
Stoeck T, 2010, MOL ECOL, V19, P21, DOI 10.1111/j.1365-294X.2009.04480.x
Tett P, 2007, MAR POLLUT BULL, V55, P282, DOI 10.1016/j.marpolbul.2006.08.028
Torsvik V, 2002, SCIENCE, V296, P1064, DOI 10.1126/science.1071698
Zhou JZ, 2008, P NATL ACAD SCI USA, V105, P7768, DOI 10.1073/pnas.0709016105
NR 76
TC 20
Z9 20
PY 2016
VL 3
AR 147
DI 10.3389/fmars.2016.00147
UT WOS:000457358000144
DA 2025-07-30
ER
PT J
AU Rappé, MS
Vergin, K
Giovannoni, SJ
AF Rappé, MS
Vergin, K
Giovannoni, SJ
TI Phylogenetic comparisons of a coastal bacterioplankton community with
its counterparts in open ocean and freshwater systems
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB In order to extend previous comparisons between coastal marine bacterioplankton communities and their open ocean and freshwater counterparts, here we summarize and provide new data on a clone library of 105 SSU rRNA genes recovered from seawater collected over the western continental shelf of the USA in the Pacific Ocean. Comparisons to previously published data revealed that this coastal bacterioplankton clone library was dominated by SSU rRNA gene phylotypes originally described from surface waters of the open ocean, but also revealed unique SSU rRNA gene lineages of beta Proteobacteria related to those found in clone libraries from freshwater habitats. beta Proteobacteria lineages common to coastal and freshwater samples included members of a clade of obligately methylotrophic bacteria, SSU rRNA genes affiliated with Xylophilus ampelinus, and a clade related to the genus Duganella. Ln addition, SSU rRNA genes were recovered from such previously recognized marine bacterioplankton SSU rRNA gene clone clusters as the SAR86, SAR11, and SAR116 clusters within the class Proteobacteria, the Roseobacter clade of the alpha subclass of the Proteobacteria, the marine group A/SAR406 cluster, and the marine Actinobacteria clade. Overall, these results support and extend previous observations concerning the global distribution of several marine planktonic prokaryote SSU rRNA gene phylotypes, but also show that coastal bacterioplankton communities contain SSU rRNA gene lineages (and presumably bacterioplankton) shown previously to be prevalent in freshwater habitats. (C) 2000 Federation of European Microbiological Societies. Published by Elsevier Science B.V. All rights reserved.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Rappé, MS (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Althoff K, 1998, MAR BIOL, V130, P529, DOI 10.1007/s002270050273
Azam F, 1995, NATO ADV SCI INST SE, V38, P39
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Benlloch S, 1995, FEMS MICROBIOL ECOL, V18, P267
BENSON DA, 1999, GENBANK NUCL ACIDS R, V27, P1
BOND PL, 1995, APPL ENVIRON MICROB, V61, P1910, DOI 10.1128/AEM.61.5.1910-1916.1995
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Fuhrman Jed. A., 1998, Aquatic Ecology, V32, P3, DOI 10.1023/A:1009974817127
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
GIOVANNONI SJ, 1996, EVOLUTION MICROBIAL, P63
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
Hiraishi A, 1997, INT J SYST BACTERIOL, V47, P1249, DOI 10.1099/00207713-47-4-1249
JENKINS O, 1987, INT J SYST BACTERIOL, V37, P446, DOI 10.1099/00207713-37-4-446
KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
LUDWIG W, 1997, ARB SOFTWARE ENV SEQ
Maidak BL, 1999, NUCLEIC ACIDS RES, V27, P171, DOI 10.1093/nar/27.1.171
Methe BA, 1998, LIMNOL OCEANOGR, V43, P368, DOI 10.4319/lo.1998.43.2.0368
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Pernthaler J, 1997, APPL ENVIRON MICROB, V63, P4778, DOI 10.1128/AEM.63.12.4778-4783.1997
Pernthaler J, 1998, APPL ENVIRON MICROB, V64, P4299
Pinhassi J, 1997, APPL ENVIRON MICROB, V63, P3359, DOI 10.1128/AEM.63.9.3359-3366.1997
Rappé MS, 1998, APPL ENVIRON MICROB, V64, P294
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rappé MS, 1999, SYST APPL MICROBIOL, V22, P106, DOI 10.1016/S0723-2020(99)80033-2
Rochelle P.A., 1995, NUCL ACIDS ENV METHO, P219
ROCHELLE PA, 1994, FEMS MICROBIOL ECOL, V15, P215
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
SMITH SW, 1994, COMPUT APPL BIOSCI, V10, P671
Stackebrandt E, 1997, INT J SYST BACTERIOL, V47, P479, DOI 10.1099/00207713-47-2-479
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Tanner MA, 1998, APPL ENVIRON MICROB, V64, P3110
Weidner S, 2000, MICROBIAL ECOL, V39, P22, DOI 10.1007/s002489900194
Wen AM, 1999, INT J SYST BACTERIOL, V49, P567, DOI 10.1099/00207713-49-2-567
WILLEMS A, 1987, INT J SYST BACTERIOL, V37, P422, DOI 10.1099/00207713-37-4-422
Wintzingerode Friedrich V., 1997, FEMS Microbiology Reviews, V21, P213
WOESE CR, 1984, SYST APPL MICROBIOL, V5, P315, DOI 10.1016/S0723-2020(84)80034-X
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 52
TC 218
Z9 232
PD SEP
PY 2000
VL 33
IS 3
BP 219
EP 232
DI 10.1016/S0168-6496(00)00064-7
UT WOS:000089847700006
DA 2025-07-30
ER
PT J
AU Howard, EC
Henriksen, JR
Buchan, A
Reisch, CR
Buergmann, H
Welsh, R
Ye, WY
González, JM
Mace, K
Joye, SB
Kiene, RP
Whitman, WB
Moran, MA
AF Howard, Erinn C.
Henriksen, James R.
Buchan, Alison
Reisch, Chris R.
Buergmann, Helmut
Welsh, Rory
Ye, Wenying
Gonzalez, Jose M.
Mace, Kimberly
Joye, Samantha B.
Kiene, Ronald P.
Whitman, William B.
Moran, Mary Ann
TI Bacterial taxa that limit sulfur flux from the ocean
SO SCIENCE
DT Article
AB Flux of dimethylsulfide (DMS) from ocean surface waters is the predominant natural source of sulfur to the atmosphere and influences climate by aerosol formation. Marine bacterioplankton regulate sulfur flux by converting the precursor dimethylsulfoniopropionate (DMSP) either to DMS or to sulfur compounds that are not climatically active. Through the discovery of a glycine cleavage T-family protein with DMSP methyltransferase activity, marine bacterioplankton in the Roseobacter and SAR11 taxa were identified as primary mediators of DMSP demethylation to methylmercaptopropionate. One-third of surface ocean bacteria harbor a DMSP demethylase homolog and thereby route a substantial fraction of global marine primary production away from DMS formation and into the marine microbial food web.
C1 Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
Univ Tennessee, Dept Microbiol, Knoxville, TN 37996 USA.
Univ La Laguna, Dept Microbiol, Tenerife 38071, Spain.
Univ S Alabama, Dept Marine Sci, Mobile, AL 36688 USA.
Dauphin Isl Sea Lab, Dauphin Isl, AL 36528 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Kettle AJ, 1999, GLOBAL BIOGEOCHEM CY, V13, P399, DOI 10.1029/1999GB900004
Kettle AJ, 2000, J GEOPHYS RES-ATMOS, V105, P26793, DOI 10.1029/2000JD900252
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Miller TR, 2004, APPL ENVIRON MICROB, V70, P3383, DOI 10.1128/AEM.70.6.3383-3391.2004
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
VISSCHER PT, 1992, MAR ECOL PROG SER, V89, P293, DOI 10.3354/meps089293
Wolfe GV, 1997, NATURE, V387, P894, DOI 10.1038/43168
NR 20
TC 275
Z9 332
PD OCT 27
PY 2006
VL 314
IS 5799
BP 649
EP 652
DI 10.1126/science.1130657
UT WOS:000241557800048
DA 2025-07-30
ER
PT J
AU Alonso-Sáez, L
Sánchez, O
Gasol, JM
AF Alonso-Saez, Laura
Sanchez, Olga
Gasol, Josep M.
TI Bacterial uptake of low molecular weight organics in the subtropical
Atlantic: Are major phylogenetic groups functionally different?
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB We present measurements of glucose, amino acids, and adenosine triphosphate (ATP) bacterial uptake at tracer concentrations across an oceanic gradient from the Cape Blanc upwelling to the Northeast Atlantic subtropical gyre. The bulk uptake of the compounds increased in the upwelling, with amino acids being the most actively taken up substrate (up to 20 pmol L-1 h(-1)). The single-cell activity of the bacterial groups also increased in the upwelling, particularly for Rhodobacteraceae (up to 94% of active cells), but this group had low activity in oligotrophic waters (< 10% of active cells), which suggests it is exclusively adapted to high-nutrient conditions. The percentage of SAR11 active cells was relatively high in the upwelling area, particularly for glucose and amino acid uptake (up to 53% of active cells), which suggests that some members of this group are also adapted to nutrient-rich environments. Of the broad phylogenetic groups tested, Bacteroidetes were the least active and Alpha-and Gammaproteobacteria showed similar percentages of active cells in amino acid uptake (similar to 30%). Alphaproteobacteria had the highest percent of cells involved in glucose uptake, while Gammaproteobacteria dominated ATP uptake. This general pattern was confirmed in a broader analysis that included data from contrasting marine environments, which suggests that major phylogenetic groups of bacteria participate differently in the turnover of these low-molecular-weight organics. Our results support the view that broad phylogenetic groups can be identified within the bacterial 'black box' with different patterns in the cycling of organic matter. Analyzing them may help us understand, and ultimately predict, oceanic carbon processing.
C1 [Alonso-Saez, Laura] Inst Espanol Oceanog, Ctr Oceanog Gijon, Gijon, Spain.
[Alonso-Saez, Laura; Gasol, Josep M.] Inst Ciencies Mar CSIC, Dept Biol Marina & Oceanog, Barcelona, Catalunya, Spain.
[Sanchez, Olga] Univ Autonoma Barcelona, Dept Genet & Microbiol, Bellaterra, Catalunya, Spain.
RP Alonso-Sáez, L (corresponding author), Inst Espanol Oceanog, Ctr Oceanog Gijon, Gijon, Spain.
EM laura.alonso@gi.ieo.es
CR Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Arnosti C, 2011, ANNU REV MAR SCI, V3, P401, DOI 10.1146/annurev-marine-120709-142731
AZAM F, 1977, NATURE, V267, P696, DOI 10.1038/267696a0
Cottrell MT, 2005, APPL ENVIRON MICROB, V71, P8506, DOI 10.1128/AEM.71.12.8506-8513.2005
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, V2nd
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Fenchel T, 2004, BIOSCIENCE, V54, P777, DOI 10.1641/0006-3568(2004)054[0777:TUOSSP]2.0.CO;2
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Green JL, 2008, SCIENCE, V320, P1039, DOI 10.1126/science.1153475
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
LEGENDRE L, 1995, AQUAT MICROB ECOL, V9, P69, DOI 10.3354/ame009069
Longnecker K, 2006, AQUAT MICROB ECOL, V42, P265, DOI 10.3354/ame042265
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Nagata T., 2000, MICROBIAL ECOLOGY OC, P121
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pinhassi J, 1999, AQUAT MICROB ECOL, V17, P13, DOI 10.3354/ame017013
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
SEBASTIAN M., ENV MICROBIOL
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Teira E, 2006, LIMNOL OCEANOGR, V51, P60, DOI 10.4319/lo.2006.51.1.0060
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
NR 40
TC 37
Z9 40
PD MAY
PY 2012
VL 57
IS 3
BP 798
EP 808
DI 10.4319/lo.2012.57.3.0798
UT WOS:000306239300010
DA 2025-07-30
ER
PT J
AU Larkin, AA
Brock, ML
Fagan, AJ
Moreno, AR
Gerace, SD
Lees, LE
Suarez, SA
Eloe-Fadrosh, EA
Martiny, AC
AF Larkin, Alyse A.
Brock, Melissa L.
Fagan, Adam J.
Moreno, Allison R.
Gerace, Skylar D.
Lees, Lauren E.
Suarez, Stacy A.
Eloe-Fadrosh, Emiley A.
Martiny, Adam C.
TI Climate-driven succession in marine microbiome biodiversity and
biogeochemical function
SO NATURE COMMUNICATIONS
DT Article
AB Seasonal and El Ni & ntilde;o-Southern Oscillation (ENSO) warming result in similar ocean changes as predicted with climate change. Climate-driven environmental cycles have strong impacts on microbiome diversity, but impacts on microbiome function are poorly understood. Here we quantify changes in microbial genomic diversity and functioning over 11 years covering seasonal and ENSO cycles at a coastal site in the southern California Current. We observe seasonal oscillations between large-genome lineages during cold, nutrient rich conditions in winter and spring versus small-genome lineages, including Prochlorococcus and Pelagibacter, in summer and fall. Parallel interannual changes separate communities depending on ENSO condition. Biodiversity shifts translate into clear oscillations in microbiome functional potential. Ocean warming induced an ecosystem with less iron but more macronutrient stress genes, depressed organic carbon degradation potential and biomass, and elevated carbon-to-nutrient biomass ratios. The consistent microbial response observed across time-scales points towards large climate-driven changes in marine ecosystems and biogeochemical cycles.
C1 [Larkin, Alyse A.; Fagan, Adam J.; Gerace, Skylar D.; Martiny, Adam C.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA.
[Brock, Melissa L.; Moreno, Allison R.; Lees, Lauren E.; Suarez, Stacy A.; Martiny, Adam C.] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92697 USA.
[Moreno, Allison R.] Univ Calif Santa Cruz, Ocean Sci Dept, Santa Cruz, CA USA.
[Eloe-Fadrosh, Emiley A.] US DOE, Joint Genome Inst, Lawrence Berkeley Natl Lab, Berkeley, CA USA.
RP Martiny, AC (corresponding author), Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA.; Martiny, AC (corresponding author), Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92697 USA.
EM amartiny@uci.edu
CR Allison SD, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00301
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
Auladell A, 2023, ENVIRON MICROBIOL, V25, P1465, DOI 10.1111/1462-2920.16367
Auladell A, 2019, ISME J, V13, P1975, DOI 10.1038/s41396-019-0401-4
Barber RT, 2006, GLOBAL BIOGEOCHEM CY, V20, DOI 10.1029/2006GB002726
Berlemont R, 2015, APPL ENVIRON MICROB, V81, P1513, DOI 10.1128/AEM.03718-14
Bier RL, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv113
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Bograd SJ, 2001, J GEOPHYS RES-OCEANS, V106, P9255, DOI 10.1029/1999JC000165
Bograd SJ, 2015, DEEP-SEA RES PT II, V112, P42, DOI 10.1016/j.dsr2.2014.04.009
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Boyd PW, 2010, NAT GEOSCI, V3, P675, DOI [10.1038/NGEO964, 10.1038/ngeo964]
Bracken MES, 2004, ECOLOGY, V85, P2828, DOI 10.1890/03-0651
Brown MV, 2024, COMMUN BIOL, V7, DOI 10.1038/s42003-023-05702-4
Browning TJ, 2023, NATURE, V621, P330, DOI 10.1038/s41586-023-06439-0
Buitenhuis ET, 2012, EARTH SYST SCI DATA, V4, P101, DOI 10.5194/essd-4-101-2012
Burrows MT, 2019, NAT CLIM CHANGE, V9, P959, DOI 10.1038/s41558-019-0631-5
Campbell JH, 2013, P NATL ACAD SCI USA, V110, P5540, DOI 10.1073/pnas.1303090110
Cantarel BL, 2009, NUCLEIC ACIDS RES, V37, pD233, DOI 10.1093/nar/gkn663
Clum A, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00804-20
Coenen AR, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.00310
Coleman M, 2021, SCIENCE, V372, P239, DOI 10.1126/science.abi4684
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Dlugosch L, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28128-8
Dong CM, 2009, PROG OCEANOGR, V82, P168, DOI 10.1016/j.pocean.2009.07.005
Doré H, 2023, ISME J, V17, P720, DOI 10.1038/s41396-023-01386-0
Dray S., 2007, R News, V7, P47, DOI DOI 10.1159/000323281
Eloe-Fadrosh EA, 2022, NUCLEIC ACIDS RES, V50, pD828, DOI 10.1093/nar/gkab990
Fagan AJ, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00386
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galand PE, 2018, ISME J, V12, P2470, DOI 10.1038/s41396-018-0158-1
Garron ML, 2019, CURR OPIN CHEM BIOL, V53, P82, DOI 10.1016/j.cbpa.2019.08.004
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
Hatosy SM, 2013, ECOLOGY, V94, P1898, DOI 10.1890/12-2125.1
Hauksson NE, 2024, RADIOCARBON, V66, P863, DOI 10.1017/RDC.2023.73
Heneghan RF, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-50635-z
Hogle SL, 2018, P NATL ACAD SCI USA, V115, P13300, DOI 10.1073/pnas.1813192115
Howard MDA, 2014, LIMNOL OCEANOGR, V59, P285, DOI 10.4319/lo.2014.59.1.0285
Hutchins DA, 1998, LIMNOL OCEANOGR, V43, P1037, DOI 10.4319/lo.1998.43.6.1037
Hutchinson GE, 1941, AM NAT, V75, P406, DOI 10.1086/280983
Ignacio-Espinoza JC, 2020, NAT MICROBIOL, V5, P265, DOI 10.1038/s41564-019-0628-x
Jacox MG, 2016, GEOPHYS RES LETT, V43, P7072, DOI 10.1002/2016GL069716
Jacox MG, 2015, J GEOPHYS RES-OCEANS, V120, P1691, DOI 10.1002/2014JC010650
Karl DM, 2022, PROG OCEANOGR, V205, DOI 10.1016/j.pocean.2022.102803
KARL DM, 1992, LIMNOL OCEANOGR, V37, P105, DOI 10.4319/lo.1992.37.1.0105
Kent AG, 2016, ISME J, V10, P1856, DOI 10.1038/ismej.2015.265
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Knap A., 1993, Bermuda Atlantic Time-series Study Methods Manual
Larkin A. A., 2020, Detecting nutrient limitation and coastal biogeochemical responses to El Nino using microbial eco-genomic biomarkers, DOI [10.46936/10.25585/60001365, DOI 10.46936/10.25585/60001365]
Larkin AA, 2023, ISME J, V17, P185, DOI 10.1038/s41396-022-01332-6
Larkin AA, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0238405
Lilly LE, 2018, DEEP-SEA RES PT I, V140, P36, DOI 10.1016/j.dsr.2018.07.015
Lomas MW, 2010, BIOGEOSCIENCES, V7, P695, DOI 10.5194/bg-7-695-2010
Louca S, 2018, NAT ECOL EVOL, V2, P936, DOI 10.1038/s41559-018-0519-1
Manck LE, 2024, ISME J, V18, DOI 10.1093/ismejo/wrae061
Margalef R., 1958, Perspectives in Marine Biology, P323
Martiny A. C., MiCRO analysis output. figshare, DOI [10.6084/m9.figshare.26082091, DOI 10.6084/M9.FIGSHARE.26082091]
Martiny Adam, 2020, WHOAS, DOI 10.26008/1912/bco-dmo.564351.2
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2016, LIMNOL OCEANOGR, V61, P531, DOI 10.1002/lno.10233
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Martiny JBH, 2015, SCIENCE, V350, DOI 10.1126/science.aac9323
McArdle BH, 2001, ECOLOGY, V82, P290, DOI 10.1890/0012-9658(2001)082[0290:FMMTCD]2.0.CO;2
Mills MM, 2008, LIMNOL OCEANOGR, V53, P824, DOI 10.4319/lo.2008.53.2.0824
Montani Ines, 2023, explosion/spaCy: v3.7.2: Fixes for APIs and requirements
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moreno AR, 2018, ANNU REV MAR SCI, V10, P43, DOI 10.1146/annurev-marine-121916-063126
Morrow RM, 2018, DEEP-SEA RES PT I, V140, P52, DOI 10.1016/j.dsr.2018.07.012
Nielsdóttir MC, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003410
Oksanen J, 2024, VEGAN COMMUNITY ECOL
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Peña MA, 2019, LIMNOL OCEANOGR, V64, P515, DOI 10.1002/lno.11056
Piton G, 2023, NAT MICROBIOL, V8, P2093, DOI 10.1038/s41564-023-01465-0
REYNOLDS CS, 1984, FRESHWATER BIOL, V14, P111, DOI 10.1111/j.1365-2427.1984.tb00027.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sachslehner A, 1998, APPL ENVIRON MICROB, V64, P594
SHARP JH, 1974, LIMNOL OCEANOGR, V19, P984, DOI 10.4319/lo.1974.19.6.0984
Sharpe G, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00314-9
Tagliabue A, 2020, GLOBAL CHANGE BIOL, V26, P6168, DOI 10.1111/gcb.15316
Team RC, 2021, R LANG ENV STAT COMP, V1, P371
Thioulouse J., 2018, Multivariate Analysis of Ecological Data with ade4, DOI [10.1007/978-1-4939-8850-1, DOI 10.1007/978-1-4939-8850-1]
Tortell PD, 1996, NATURE, V383, P330, DOI 10.1038/383330a0
Ustick LJ, 2021, SCIENCE, V372, P287, DOI 10.1126/science.abe6301
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
Welch RA, 2002, P NATL ACAD SCI USA, V99, P17020, DOI 10.1073/pnas.252529799
Yeh YC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-35551-4
Yoshitake K, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-91615-3
Zhaxybayeva O, 2011, CURR BIOL, V21, pR242, DOI 10.1016/j.cub.2011.01.045
NR 89
TC 1
Z9 1
PD APR 25
PY 2025
VL 16
IS 1
AR 3926
DI 10.1038/s41467-025-59382-1
UT WOS:001476786100013
DA 2025-07-30
ER
PT J
AU Pajares, S
Varona-Cordero, F
Hernández-Becerril, DU
AF Pajares, Silvia
Varona-Cordero, Francisco
Uriel Hernandez-Becerril, David
TI Spatial Distribution Patterns of Bacterioplankton in the Oxygen Minimum
Zone of the Tropical Mexican Pacific
SO MICROBIAL ECOLOGY
DT Article
AB Microbial communities within oxygen minimum zones (OMZs) are crucial drivers of marine biogeochemical cycles; however, we still lack an understanding of how these communities are distributed across an OMZ. We explored vertical (from 5 to 500 m depth) and horizontal (coast to open ocean) distribution of bacterioplankton and its relationships with the main oceanographic conditions in three transects of the tropical Mexican Pacific OMZ. The distribution of the microbial diversity and the main clades changed along the transition from oxygen-rich surface water to the OMZ core, demonstrating the sensitivity of key bacterial groups to deoxygenation. The euphotic zone was dominated by Synechococcales, followed by Flavobacteriales, Verrucomicrobiales, Rhodobacterales, SAR86, and Cellvibrionales, whereas the OMZ core was dominated by SAR11, followed by SAR406, SAR324, SAR202, UBA10353 marine group, Thiomicrospirales and Nitrospinales. The marked environmental gradients along the water column also supported a high potential for niche partitioning among OMZ microorganisms. Additionally, in the OMZ core, bacterial assemblages from the same water mass were more similar to each other than those from another water mass. There were also important differences between coastal and open-ocean communities: Flavobacteriales, Verrucomicrobiales, Rhodobacterales, SAR86, and Cellvibrionales were more abundant in coastal areas, while Synechococcales, SAR406, SAR324, SAR202, UBA10353 marine group, and Thiomicrospirales were more abundant in the open ocean. Our results suggest a biogeographic structure of the bacterioplankton in this OMZ region, with limited community mixing across water masses, except in upwelling events, and little dispersion of the community by currents in the euphotic zone.
C1 [Pajares, Silvia; Varona-Cordero, Francisco; Uriel Hernandez-Becerril, David] Univ Nacl Autonoma Mexico, Inst Marine Sci & Limnol, Unidad Acad Ecol & Biodiversidad Acuat, Mexico City, DF, Mexico.
RP Pajares, S (corresponding author), Univ Nacl Autonoma Mexico, Inst Marine Sci & Limnol, Unidad Acad Ecol & Biodiversidad Acuat, Mexico City, DF, Mexico.
EM spajares@cmarl.unam.mx
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Ahlgren NA, 2006, APPL ENVIRON MICROB, V72, P7193, DOI 10.1128/AEM.00358-06
Ahlgren NA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00213
Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Beman JM, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3705
Bergo NM, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00238
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Bird C, 2003, APPL ENVIRON MICROB, V69, P7009, DOI 10.1128/AEM.69.12.7009-7018.2003
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Carolan MT, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00334
Cepeda-Morales J, 2009, CIENC MAR, V35, P389, DOI 10.7773/cm.v35i4.1622
Cepeda-Morales J, 2013, DEEP-SEA RES PT I, V76, P1, DOI 10.1016/j.dsr.2013.02.004
Clarke KR, 2006, PRIMER v6: User Manual/Tutorial
Collado-Fabbri S, 2011, LIMNOL OCEANOGR, V56, P2334, DOI 10.4319/lo.2011.56.6.2334
Coutinho F, 2016, PEERJ, V4, DOI 10.7717/peerj.1522
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Djurhuus A, 2017, ROY SOC OPEN SCI, V4, DOI 10.1098/rsos.170033
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Easson CG, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03175
Fiedler PC, 2006, PROG OCEANOGR, V69, P143, DOI 10.1016/j.pocean.2006.03.008
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Friedline CJ, 2012, BIOGEOSCIENCES, V9, P2177, DOI 10.5194/bg-9-2177-2012
Fuchsman CA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02384
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Garcia-Robledo E, 2017, P NATL ACAD SCI USA, V114, P8319, DOI 10.1073/pnas.1619844114
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glass JB, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00998
Goericke R, 2000, DEEP-SEA RES PT I, V47, P1183, DOI 10.1016/S0967-0637(99)00108-9
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Hernández-Ruiz M, 2018, ENVIRON MICROBIOL, V20, P2955, DOI 10.1111/1462-2920.14313
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Jensen MM, 2011, ISME J, V5, P1660, DOI 10.1038/ismej.2011.44
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kalvelage T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133526
Keeling RF, 2010, ANNU REV MAR SCI, V2, P199, DOI 10.1146/annurev.marine.010908.163855
Kong LL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078275
Kuypers MMM, 2003, NATURE, V422, P608, DOI 10.1038/nature01472
Lam P, 2011, BIOGEOSCIENCES, V8, P1565, DOI 10.5194/bg-8-1565-2011
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lavin P, 2010, ENV MICROBIOL REP, V2, P728, DOI 10.1111/j.1758-2229.2010.00167.x
Lenth RV, 2016, J STAT SOFTW, V69, P1, DOI 10.18637/jss.v069.i01
Linacre L, 2015, DEEP-SEA RES PT I, V106, P55, DOI 10.1016/j.dsr.2015.09.009
López-Sandoval DC, 2009, CIENC MAR, V35, P169, DOI 10.7773/cm.v35i2.1530
Lüke C, 2016, PEERJ, V4, DOI 10.7717/peerj.1924
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P823, DOI 10.1111/j.1462-2920.2008.01803.x
Pajares S, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz143
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Penn JL, 2019, P NATL ACAD SCI USA, V116, P7220, DOI 10.1073/pnas.1818014116
Pinhassi J, 2003, MAR ECOL PROG SER, V255, P1, DOI 10.3354/meps255001
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Portela E, 2016, J PHYS OCEANOGR, V46, P3069, DOI 10.1175/JPO-D-16-0068.1
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2018, R LANG ENV STAT COMP
Rabalais NN, 2010, BIOGEOSCIENCES, V7, P585, DOI 10.5194/bg-7-585-2010
Rinke C, 2019, ISME J, V13, P663, DOI 10.1038/s41396-018-0282-y
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Santana-Vega Z, 2018, BRAZ J OCEANOGR, V66, P157, DOI [10.1590/S1679-87592018004806602, 10.1590/s1679-87592018004806602]
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schlitzer R., 2015, Can. Meteorlogical Oceanogr. Soc, P9
Seo Ji-Hui., 2017, PLoS One, V12, pe0174159, DOI DOI 10.1371/JOURNAL.PONE.0174159
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Six C, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-12-r259
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stramma L, 2010, DEEP-SEA RES PT I, V57, P587, DOI 10.1016/j.dsr.2010.01.005
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tai V, 2009, ISME J, V3, P903, DOI 10.1038/ismej.2009.35
Takahashi S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105592
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Woebken D, 2008, ENVIRON MICROBIOL, V10, P3106, DOI 10.1111/j.1462-2920.2008.01640.x
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Yu Z, 2015, SCI REP-UK, V5, DOI 10.1038/srep12897
Zhang CLL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01108
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 94
TC 42
Z9 44
PD OCT
PY 2020
VL 80
IS 3
BP 519
EP 536
DI 10.1007/s00248-020-01508-7
EA MAY 2020
UT WOS:000533049100001
DA 2025-07-30
ER
PT J
AU Giovannoni, S
Stingl, U
AF Giovannoni, Stephen
Stingl, Ulrich
TI The importance of culturing bacterioplankton in the 'omics' age
SO NATURE REVIEWS MICROBIOLOGY
DT Review
AB Progress in the culturing of microorganisms that are important to ocean ecology has recently accelerated, and technology has been a factor in these advances. However, rather than a single technological breakthrough, a combination of methods now enable microbiologists to screen large numbers of cultures and manipulate cells that are growing at the low biomass densities that are characteristic of those found in seawater. The value of ribosomal RNA databases has been reaffirmed, as they provide nucleic- acid probes for screening to identify important new species in culture. The new cultivation approaches have focused on specific targets that ecological studies suggest are significant for geochemical transformations, such as SAR11. Here, we review how to cultivate marine oligotrophs and why it is worth the effort.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, S (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Button D.K., 1993, Handbook of methods in aquatic microbial ecology, P163
Button DK, 2004, APPL ENVIRON MICROB, V70, P5511, DOI 10.1128/AEM.70.9.5511-5521.2004
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
Cavicchioli R, 2003, MICROB ECOL, V45, P203, DOI 10.1007/s00248-002-3008-6
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
CHISHOLM SW, 1992, ARCH MICROBIOL, V157, P297, DOI 10.1007/BF00245165
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
DEBRUYN JC, 1990, APPL ENVIRON MICROB, V56, P2891, DOI 10.1128/AEM.56.9.2891-2894.1990
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Eguchi M, 2001, APPL ENVIRON MICROB, V67, P4945, DOI 10.1128/AEM.67.11.4945-4954.2001
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Fegatella F, 1999, ELECTROPHORESIS, V20, P2094, DOI 10.1002/(SICI)1522-2683(19990701)20:10<2094::AID-ELPS2094>3.0.CO;2-E
Ferrari BC, 2005, APPL ENVIRON MICROB, V71, P8714, DOI 10.1128/AEM.71.12.8714-8720.2005
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Godoy F, 2003, INT J SYST EVOL MICR, V53, P473, DOI 10.1099/ijs.0.02375-0
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
ISHIDA Y, 1981, MICROB ECOL, V7, P123, DOI 10.1007/BF02032494
Jensen PR, 2007, APPL ENVIRON MICROB, V73, P1146, DOI 10.1128/AEM.01891-06
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
KUZNETSOV SI, 1979, ANNU REV MICROBIOL, V33, P377, DOI 10.1146/annurev.mi.33.100179.002113
Miller TR, 2006, ENVIRON MICROBIOL, V8, P1648, DOI 10.1111/j.1462-2920.2006.01071.x
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
MORITA RY, 1982, ADV MICROB ECOL, V6, P171
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Ostrowski M, 2001, APPL ENVIRON MICROB, V67, P1292, DOI 10.1128/AEM.67.3.1292-1299.2001
POINDEXTER JS, 1981, ADV MICROB ECOL, V5, P63
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Renesto P, 2003, LANCET, V362, P447, DOI 10.1016/S0140-6736(03)14071-8
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SCHLEGEL HG, 1967, ANNU REV MICROBIOL, V21, P49, DOI 10.1146/annurev.mi.21.100167.000405
Schmid MC, 2007, ENVIRON MICROBIOL, V9, P1476, DOI 10.1111/j.1462-2920.2007.01266.x
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
Speksnijder AGCL, 2001, APPL ENVIRON MICROB, V67, P469, DOI 10.1128/AEM.67.1.469-472.2001
Stephens RS, 1998, SCIENCE, V282, P754, DOI 10.1126/science.282.5389.754
STINGL U, IN PRESS ISME J
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
van BAALEN CHASE, 1962, BOT MARINA, V4, P129, DOI 10.1515/botm.1962.4.1-2.129
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zengler K, 2002, P NATL ACAD SCI USA, V99, P15681, DOI 10.1073/pnas.252630999
ZIEGLER M, 1990, WATER RES, V24, P1437, DOI 10.1016/0043-1354(90)90077-J
Zobell CE, 1941, J MAR RES, V4, P42
NR 65
TC 148
Z9 163
PD OCT
PY 2007
VL 5
IS 10
BP 820
EP 826
DI 10.1038/nrmicro1752
UT WOS:000249525500027
DA 2025-07-30
ER
PT J
AU Warwick-Dugdale, J
Tian, FN
Michelsen, ML
Cronin, DR
Moore, K
Farbos, A
Chittick, L
Bell, A
Zayed, AA
Buchholz, HH
Bolanos, LM
Parsons, RJ
Allen, MJ
Sullivan, MB
Temperton, B
AF Warwick-Dugdale, Joanna
Tian, Funing
Michelsen, Michelle L.
Cronin, Dylan R.
Moore, Karen
Farbos, Audrey
Chittick, Lauren
Bell, Ashley
Zayed, Ahmed A.
Buchholz, Holger H.
Bolanos, Luis M.
Parsons, Rachel J.
Allen, Michael J.
Sullivan, Matthew B.
Temperton, Ben
TI Long-read powered viral metagenomics in the oligotrophic Sargasso Sea
SO NATURE COMMUNICATIONS
DT Article
AB Dominant microorganisms of the Sargasso Sea are key drivers of the global carbon cycle. However, associated viruses that shape microbial community structure and function are not well characterised. Here, we combined short and long read sequencing to survey Sargasso Sea phage communities in virus- and cellular fractions at viral maximum (80 m) and mesopelagic (200 m) depths. We identified 2,301 Sargasso Sea phage populations from 186 genera. Over half of the phage populations identified here lacked representation in global ocean viral metagenomes, whilst 177 of the 186 identified genera lacked representation in genomic databases of phage isolates. Viral fraction and cell-associated viral communities were decoupled, indicating viral turnover occurred across periods longer than the sampling period of three days. Inclusion of long-read data was critical for capturing the breadth of viral diversity. Phage isolates that infect the dominant bacterial taxa Prochlorococcus and Pelagibacter, usually regarded as cosmopolitan and abundant, were poorly represented.
The Sargasso Sea is a natural laboratory for understanding future conditions of warmer oceans and associated nutrient limitation. Here, the authors combined short- and long-read sequencing to survey Sargasso Sea viral communities.
C1 [Warwick-Dugdale, Joanna; Michelsen, Michelle L.; Moore, Karen; Farbos, Audrey; Bell, Ashley; Buchholz, Holger H.; Bolanos, Luis M.; Allen, Michael J.; Temperton, Ben] Univ Exeter, Sch Biosci, Exeter EX4 4SB, Devon, England.
[Warwick-Dugdale, Joanna] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
[Tian, Funing; Cronin, Dylan R.; Chittick, Lauren; Zayed, Ahmed A.; Sullivan, Matthew B.] Ohio State Univ, Ctr Microbiome Sci, Columbus, OH 43210 USA.
[Tian, Funing; Cronin, Dylan R.; Chittick, Lauren; Zayed, Ahmed A.; Sullivan, Matthew B.] Ohio State Univ, Dept Microbiol, Columbus, OH 43210 USA.
[Cronin, Dylan R.; Zayed, Ahmed A.; Sullivan, Matthew B.] Ohio State Univ, EMERGE Biol Integrat Inst, Columbus, OH 43210 USA.
[Buchholz, Holger H.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Parsons, Rachel J.] Bermuda Inst Ocean Sci, GE-01 St Georges, Bermuda.
[Parsons, Rachel J.] Arizona State Univ, Sch Ocean Futures, Tempe, AZ USA.
[Sullivan, Matthew B.] Ohio State Univ, Dept Civil Environm & Geodet Engn, Columbus, OH 43210 USA.
RP Warwick-Dugdale, J; Temperton, B (corresponding author), Univ Exeter, Sch Biosci, Exeter EX4 4SB, Devon, England.; Warwick-Dugdale, J (corresponding author), Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
EM jo.warwick@gmail.com; b.temperton@exeter.ac.uk
CR Adobe Inc, 2019, Adobe Illustrator
Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bolduc B, 2017, PEERJ, V5, DOI 10.7717/peerj.3243
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Brockhurst MA, 2005, P ROY SOC B-BIOL SCI, V272, P1385, DOI 10.1098/rspb.2005.3086
Buchholz HH, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.00255-22
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Calcagno V, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15810
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Cumming G, 2014, PSYCHOL SCI, V25, P7, DOI 10.1177/0956797613504966
De Coster W, 2018, BIOINFORMATICS, V34, P2666, DOI 10.1093/bioinformatics/bty149
Du S, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000596
Emerson JB, 2018, NAT MICROBIOL, V3, P870, DOI 10.1038/s41564-018-0190-y
Forterre P, 2013, ISME J, V7, P233, DOI 10.1038/ismej.2012.110
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gregory AC, 2022, MICROBIOME, V10, DOI 10.1186/s40168-022-01231-0
Gregory AC, 2020, CELL HOST MICROBE, V28, P724, DOI 10.1016/j.chom.2020.08.003
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Gu ZG, 2016, BIOINFORMATICS, V32, P2847, DOI 10.1093/bioinformatics/btw313
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Guo JR, 2021, MICROBIOME, V9, DOI 10.1186/s40168-020-00990-y
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Howard-Varona C, 2020, ISME J, V14, P881, DOI 10.1038/s41396-019-0580-z
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Imelfort M, 2014, PEERJ, V2, DOI 10.7717/peerj.603
Inkscape Team, 2024, Inkscape Project
Jacquet S, 2001, J PHYCOL, V37, P357, DOI 10.1046/j.1529-8817.2001.037003357.x
Jang HB, 2019, NAT BIOTECHNOL, V37, P632, DOI 10.1038/s41587-019-0100-8
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kalyaanamoorthy S, 2017, NAT METHODS, V14, P587, DOI [10.1038/nmeth.4285, 10.1038/NMETH.4285]
Kang DWD, 2019, PEERJ, V7, DOI 10.7717/peerj.7359
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Katoh K, 2016, BIOINFORMATICS, V32, P1933, DOI 10.1093/bioinformatics/btw108
Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
Kelly L, 2013, ISME J, V7, P1827, DOI 10.1038/ismej.2013.58
Khot V, 2020, COMPUT STRUCT BIOTEC, V18, P1605, DOI 10.1016/j.csbj.2020.06.019
Kolmogorov M, 2020, NAT METHODS, V17, P1103, DOI 10.1038/s41592-020-00971-x
Krishnamurthy SR, 2017, VIRUS RES, V239, P136, DOI 10.1016/j.virusres.2017.02.002
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Li H, 2016, BIOINFORMATICS, V32, P2103, DOI 10.1093/bioinformatics/btw152
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Lindell D, 2007, NATURE, V449, P83, DOI 10.1038/nature06130
Liu ST, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.833252
Madi N, 2020, ELIFE, V9, DOI 10.7554/eLife.58999
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
Martinez Arbizu P., 2020, PAIRWISEADONIS PAIRW
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mizuno CM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00027
Moon K, 2021, J MICROBIOL, V59, P311, DOI 10.1007/s12275-021-1016-9
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Mruwat N, 2021, ISME J, V15, P41, DOI 10.1038/s41396-020-00752-6
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
NEI M, 1979, P NATL ACAD SCI USA, V76, P5269, DOI 10.1073/pnas.76.10.5269
Noble RT, 2000, APPL ENVIRON MICROB, V66, P3790, DOI 10.1128/AEM.66.9.3790-3797.2000
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Oksanen Jari, 2024, CRAN
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Pebesma E, 2018, R J, V10, P439
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2023, R LANG ENV STAT COMP
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Roux S, 2017, PEERJ, V5, DOI 10.7717/peerj.3817
Roux S, 2015, ELIFE, V4, DOI 10.7554/eLife.08490
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Santos-Medellin C, 2021, ISME J, V15, P1956, DOI 10.1038/s41396-021-00897-y
Scanlan PD, 2015, MOL BIOL EVOL, V32, P1425, DOI 10.1093/molbev/msv032
Schroeder PJ, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2100
Shaffer M, 2020, NUCLEIC ACIDS RES, V48, P8883, DOI 10.1093/nar/gkaa621
Sieber CMK, 2018, NAT MICROBIOL, V3, P836, DOI 10.1038/s41564-018-0171-1
Slowikowski K, 2024, GGREPEL AUTOMATICALL
Stewart RD, 2019, NAT BIOTECHNOL, V37, P953, DOI 10.1038/s41587-019-0202-3
Sullivan MB, 2006, PLOS BIOL, V4, P1344, DOI 10.1371/journal.pbio.0040234
Sullivan MB, 2010, ENVIRON MICROBIOL, V12, P3035, DOI 10.1111/j.1462-2920.2010.02280.x
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
SUTTLE CA, 1992, APPL ENVIRON MICROB, V58, P3721, DOI 10.1128/AEM.58.11.3721-3729.1992
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Temperton B., 2024, BIOS-SCOPE/AE1712-viromes:v1.0.0.1. zenodo, DOI [10.5281/zenodo.10940125, DOI 10.5281/ZENODO.10940125]
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Trubl G, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00076-18
Uritskiy GV, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0541-1
Vaser R, 2017, GENOME RES, V27, P737, DOI 10.1101/gr.214270.116
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Warwick-Dugdale J, 2019, PEERJ, V7, DOI 10.7717/peerj.6800
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Wick Ryan R, 2019, F1000Res, V8, P2138, DOI 10.12688/f1000research.21782.1
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
Wickham H., 2019, J. Open Source Softw, V4, P1686, DOI [DOI 10.21105/JOSS.01686, 10.21105/joss.01686]
Wickham H., 2023, Scales: Scale Functions for Visualization
Wilke C., 2024, _cowplot: Streamlined Plot Theme and Plot Annotations for 'ggplot2'_. R package version 1.1.3
Wilson WH, 1997, AQUAT MICROB ECOL, V13, P95, DOI 10.3354/ame013095
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Wu YW, 2016, BIOINFORMATICS, V32, P605, DOI 10.1093/bioinformatics/btv638
Zablocki O, 2021, PEERJ, V9, DOI 10.7717/peerj.11088
Zeileis Achim, 2024, CRAN, DOI 10.32614/CRAN.package.colorspace
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 118
TC 6
Z9 6
PD MAY 14
PY 2024
VL 15
IS 1
AR 4089
DI 10.1038/s41467-024-48300-6
UT WOS:001222925300036
DA 2025-07-30
ER
PT J
AU Soule, MCK
Longnecker, K
Giovannoni, SJ
Kujawinski, EB
AF Soule, Melissa C. Kido
Longnecker, Krista
Giovannoni, Stephen J.
Kujawinski, Elizabeth B.
TI Impact of instrument and experiment parameters on reproducibility of
ultrahigh resolution ESI FT-ICR mass spectra of natural organic matter
SO ORGANIC GEOCHEMISTRY
DT Article
AB Natural dissolved organic matter (OM) is a complex heterogeneous mixture of compounds that have defied traditional characterization using standard analytical methods. Electrospray ionization mass spectrometry, particularly in ultrahigh resolution mode, provides a new platform for compositional assessment of this important pool of the Earth's reduced carbon. Here, we propose a framework for optimization of instrument and experiment parameters for high quality data acquisition using Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). We report the impact of these parameters on reproducibility of peak detection and repeatability of peak height in replicate injections of Suwannee River fulvic acid (FA), a common terrestrial OM standard. In addition, we examine the variability in peak detection and peak height among different types of experimental replicates of dissolved OM derived from laboratory cultures of Candidatus Pelagibacter ubique, a ubiquitous marine alpha-proteobacterium. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Soule, Melissa C. Kido; Longnecker, Krista; Kujawinski, Elizabeth B.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Kujawinski, EB (corresponding author), Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
EM ekujawinski@whoi.edu
CR Altieri KE, 2009, ATMOS CHEM PHYS, V9, P2533, DOI 10.5194/acp-9-2533-2009
Bhatia MP, 2010, GEOCHIM COSMOCHIM AC, V74, P3768, DOI 10.1016/j.gca.2010.03.035
Bresson JA, 1998, J AM SOC MASS SPECTR, V9, P799, DOI 10.1016/S1044-0305(98)00047-6
Brown TL, 2000, ANAL CHEM, V72, P384, DOI 10.1021/ac9902087
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Dittmar T, 2008, LIMNOL OCEANOGR-METH, V6, P230, DOI 10.4319/lom.2008.6.230
Dittmar T, 2006, MAR CHEM, V102, P208, DOI 10.1016/j.marchem.2006.04.003
Fievre A, 1997, ENERG FUEL, V11, P554, DOI 10.1021/ef970005q
Gaspar A, 2009, RAPID COMMUN MASS SP, V23, P683, DOI 10.1002/rcm.3924
Gougeon RD, 2009, P NATL ACAD SCI USA, V106, P9174, DOI 10.1073/pnas.0901100106
Grannas AM, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006251
Hedges JI, 2002, ENVIRON SCI-GER, P105
Kim S, 2006, LIMNOL OCEANOGR, V51, P1054, DOI 10.4319/lo.2006.51.2.1054
Kim S, 2006, INT J MASS SPECTROM, V251, P260, DOI 10.1016/j.ijms.2006.02.001
Kim S, 2003, ANAL CHEM, V75, P5336, DOI 10.1021/ac034415p
Kim S, 2003, ORG GEOCHEM, V34, P1325, DOI 10.1016/S0146-6380(03)00101-3
Koch BP, 2008, MAR CHEM, V111, P233, DOI 10.1016/j.marchem.2008.05.008
Koch BP, 2007, ANAL CHEM, V79, P1758, DOI 10.1021/ac061949s
Koch BP, 2006, RAPID COMMUN MASS SP, V20, P926, DOI 10.1002/rcm.2386
Koch BP, 2005, GEOCHIM COSMOCHIM AC, V69, P3299, DOI 10.1016/j.gca.2005.02.027
Koprivnjak JF, 2006, WATER RES, V40, P3385, DOI 10.1016/j.watres.2006.07.019
Kujawinski EB, 2004, MAR CHEM, V92, P23, DOI 10.1016/j.marchem.2004.06.038
Kujawinski EB, 2002, ANAL CHEM, V74, P413, DOI 10.1021/ac0108313
Kujawinski EB, 2006, ANAL CHEM, V78, P4363, DOI 10.1021/ac0600306
Kujawinski EB, 2009, GEOCHIM COSMOCHIM AC, V73, P4384, DOI 10.1016/j.gca.2009.04.033
Kunenkov EV, 2009, ANAL CHEM, V81, P10106, DOI 10.1021/ac901476u
Mantini D, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-101
Marshall AG, 1998, MASS SPECTROM REV, V17, P1, DOI 10.1002/(SICI)1098-2787(1998)17:1<1::AID-MAS1>3.0.CO;2-K
McIntyre C, 2005, ORG GEOCHEM, V36, P543, DOI 10.1016/j.orggeochem.2004.11.002
Morales-Cid G, 2009, ANAL BIOANAL CHEM, V395, P797, DOI 10.1007/s00216-009-3025-0
Parsons HM, 2009, ANALYST, V134, P478, DOI 10.1039/b808986h
Payne TG, 2009, J AM SOC MASS SPECTR, V20, P1087, DOI 10.1016/j.jasms.2009.02.001
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reemtsma T, 2008, WATER RES, V42, P63, DOI 10.1016/j.watres.2007.06.063
Rosselló-Mora R, 2008, ISME J, V2, P242, DOI 10.1038/ismej.2007.93
Rostad CE, 2004, ANAL CHIM ACTA, V523, P269, DOI 10.1016/j.aca.2004.06.065
Schmidt F, 2009, GEOCHIM COSMOCHIM AC, V73, P3337, DOI 10.1016/j.gca.2009.03.008
Sleighter RL, 2008, MAR CHEM, V110, P140, DOI 10.1016/j.marchem.2008.04.008
Sleighter RL, 2008, LIMNOL OCEANOGR-METH, V6, P246, DOI 10.4319/lom.2008.6.246
Sleighter RL, 2009, ORG GEOCHEM, V40, P119, DOI 10.1016/j.orggeochem.2008.09.012
Southam AD, 2007, ANAL CHEM, V79, P4595, DOI 10.1021/ac062446p
Stenson AC, 2002, ANAL CHEM, V74, P4397, DOI 10.1021/ac020019f
Stenson AC, 2003, ANAL CHEM, V75, P1275, DOI 10.1021/ac026106p
Stenson AC, 2008, ENVIRON SCI TECHNOL, V42, P2060, DOI 10.1021/es7022412
Wozniak AS, 2008, ATMOS CHEM PHYS, V8, P5099, DOI 10.5194/acp-8-5099-2008
Wu ZG, 2004, ANAL CHEM, V76, P2511, DOI 10.1021/ac0355449
NR 46
TC 81
Z9 88
PD AUG
PY 2010
VL 41
IS 8
BP 725
EP 733
DI 10.1016/j.orggeochem.2010.05.017
UT WOS:000280614600001
DA 2025-07-30
ER
PT J
AU Agogué, H
Lamy, D
Neal, PR
Sogin, ML
Herndl, GJ
AF Agogue, Helene
Lamy, Dominique
Neal, Phillip R.
Sogin, Mitchell L.
Herndl, Gerhard J.
TI Water mass-specificity of bacterial communities in the North Atlantic
revealed by massively parallel sequencing
SO MOLECULAR ECOLOGY
DT Article
AB Bacterial assemblages from subsurface (100 m depth), meso- (200-1000 m depth) and bathy-pelagic (below 1000 m depth) zones at 10 stations along a North Atlantic Ocean transect from 60 degrees N to 5 degrees S were characterized using massively parallel pyrotag sequencing of the V6 region of the 16S rRNA gene (V6 pyrotags). In a dataset of more than 830 000 pyrotags, we identified 10 780 OTUs of which 52% were singletons. The singletons accounted for less than 2% of the OTU abundance, whereas the 100 and 1000 most abundant OTUs represented 80% and 96% respectively of all recovered OTUs. Non-metric Multi-Dimensional Scaling and Canonical Correspondence Analysis of all the OTUs excluding the singletons revealed a clear clustering of the bacterial communities according to the water masses. More than 80% of the 1000 most abundant OTUs corresponded to Proteobacteria of which 55% were Alphaproteobacteria, mostly composed of the SAR11 cluster. Gammaproteobacteria increased with depth and included a relatively large number of OTUs belonging to Alteromonadales and Oceanospirillales. The bathypelagic zone showed higher taxonomic evenness than the overlying waters, albeit bacterial diversity was remarkably variable. Both abundant and low-abundance OTUs were responsible for the distinct bacterial communities characterizing the major deep-water masses. Taken together, our results reveal that deep-water masses act as bio-oceanographic islands for bacterioplankton leading to water mass-specific bacterial communities in the deep waters of the Atlantic.
C1 [Lamy, Dominique; Herndl, Gerhard J.] Univ Vienna, Dept Marine Biol, A-1090 Vienna, Austria.
[Agogue, Helene; Lamy, Dominique; Herndl, Gerhard J.] Royal Netherlands Inst Sea Res NIOZ, Dept Biol Oceanog, NL-1790 AB Den Burg, Netherlands.
[Neal, Phillip R.; Sogin, Mitchell L.] Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Marine Biol Lab, Woods Hole, MA 02543 USA.
RP Herndl, GJ (corresponding author), Univ Vienna, Dept Marine Biol, Althanstr 14, A-1090 Vienna, Austria.
EM gerhard.herndl@univie.ac.at
CR Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], 1934, Geobiologie of Inleiding tot de Milieukunde
[Anonymous], 2001, UNIFIED NEUTRAL THEO
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Baltar F, 2009, LIMNOL OCEANOGR, V54, P182, DOI 10.4319/lo.2009.54.1.0182
Bochdansky AB, 2010, P NATL ACAD SCI USA, V107, P8287, DOI 10.1073/pnas.0913744107
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
BUNGE J, 2011, P PAC S BIO IN PRESS
Clarke K., 2001, Change in Marine Communities, V2
de Wit R, 2006, ENVIRON MICROBIOL, V8, P755, DOI 10.1111/j.1462-2920.2006.01017.x
DeLong EE, 2005, NAT REV MICROBIOL, V3, P459, DOI 10.1038/nrmicro1158
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeLong EF, 1997, APPL ENVIRON MICROB, V63, P2105, DOI 10.1128/AEM.63.5.2105-2108.1997
Fenchel T, 2004, BIOSCIENCE, V54, P777, DOI 10.1641/0006-3568(2004)054[0777:TUOSSP]2.0.CO;2
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Finlay BJ, 2002, SCIENCE, V296, P1061, DOI 10.1126/science.1070710
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Gallagher JM, 2004, FEMS MICROBIOL ECOL, V47, P249, DOI 10.1016/S0168-6496(03)00281-2
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Goffredi SK, 2007, APPL ENVIRON MICROB, V73, P2314, DOI 10.1128/AEM.01986-06
Gomez-Alvarez V, 2009, ISME J, V3, P1314, DOI 10.1038/ismej.2009.72
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Handelsman J, 2004, MICROBIOL MOL BIOL R, V68, P669, DOI 10.1128/MMBR.68.4.669-685.2004
Hewson I, 2006, LIMNOL OCEANOGR, V51, P1274, DOI 10.4319/lo.2006.51.3.1274
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Kimura H, 2003, MAR BIOTECHNOL, V5, P593, DOI 10.1007/s10126-002-0117-7
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
KRUSKAL JB, 1964, PSYCHOMETRIKA, V29, P1, DOI 10.1007/BF02289565
KUNIN V, 2009, ENVIRON MICROBIOL, V1, P118
Lauro FM, 2008, EXTREMOPHILES, V12, P15, DOI 10.1007/s00792-006-0059-5
Lauro FM, 2007, APPL ENVIRON MICROB, V73, P838, DOI 10.1128/AEM.01726-06
López-García P, 2001, FEMS MICROBIOL ECOL, V36, P193, DOI 10.1016/S0168-6496(01)00133-7
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Moeseneder MM, 2001, J MICROBIOL METH, V44, P159, DOI 10.1016/S0167-7012(00)00247-5
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
O'Malley MA, 2008, STUD HIST PHI PART C, V39, P314, DOI 10.1016/j.shpsc.2008.06.005
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Palacios C, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003853
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Peet R.K., 1974, Annual Rev Ecol Syst, V5, P285, DOI 10.1146/annurev.es.05.110174.001441
Pernthaler A, 2008, P NATL ACAD SCI USA, V105, P7052, DOI 10.1073/pnas.0711303105
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Quince C, 2009, NAT METHODS, V6, P639, DOI [10.1038/nmeth.1361, 10.1038/NMETH.1361]
Reche I, 2005, ECOLOGY, V86, P1715, DOI 10.1890/04-1587
Reeder J, 2009, NAT METHODS, V6, P636, DOI 10.1038/nmeth0909-636
Rouse GW, 2009, MAR BIOL, V156, P395, DOI 10.1007/s00227-008-1091-z
Sloan WT, 2006, ENVIRON MICROBIOL, V8, P732, DOI 10.1111/j.1462-2920.2005.00956.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
TERBRAAK CJF, 1989, HYDROBIOLOGIA, V184, P169, DOI 10.1007/BF02392953
TERBRAAK CJF, 1995, AQUAT SCI, V57, P255, DOI 10.1007/BF00877430
Tomczak M, 2003, REGIONAL OCEANOGRAPH
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
van Aken H.M., 2007, OCEANIC THERMOHALINE
van Aken HM, 2000, DEEP-SEA RES PT I, V47, P757, DOI 10.1016/S0967-0637(99)00092-8
van Aken HM, 2000, DEEP-SEA RES PT I, V47, P789, DOI 10.1016/S0967-0637(99)00112-0
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Wittebolle L, 2009, NATURE, V458, P623, DOI 10.1038/nature07840
Woodcock S, 2007, FEMS MICROBIOL ECOL, V62, P171, DOI 10.1111/j.1574-6941.2007.00379.x
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
NR 82
TC 198
Z9 217
PD JAN
PY 2011
VL 20
IS 2
BP 258
EP 274
DI 10.1111/j.1365-294X.2010.04932.x
UT WOS:000285970200008
DA 2025-07-30
ER
PT J
AU Hernández, L
Vicens, A
Eguiarte, LE
Souza, V
De Anda, V
González, JM
AF Hernandez, Laura
Vicens, Alberto
Eguiarte, Luis E.
Souza, Valeria
De Anda, Valerie
Gonzalez, Jose M.
TI Evolutionary history of dimethylsulfoniopropionate (DMSP) demethylation
enzyme DmdA in marine bacteria
SO PEERJ
DT Article
AB Dimethylsulfoniopropionate (DMSP), an osmolyte produced by oceanic phytoplankton and bacteria, is primarily degraded by bacteria belonging to the Roseobacter lineage and other marine Alphaproteobacteria via DMSP-dependent demethylase A protein (DmdA). To date, the evolutionary history of DmdA gene family is unclear. Some studies indicate a common ancestry between DmdA and GcvT gene families and a co-evolution between Roseobacter and the DMSPproducing-phytoplankton around 250 million years ago (Mya). In this work, we analyzed the evolution of DmdA under three possible evolutionary scenarios: (1) a recent common ancestor of DmdA and GcvT, (2) a coevolution between Roseobacter and the DMSP-producing-phytoplankton, and (3) an enzymatic adaptation for utilizing DMSP in marine bacteria prior to Roseobacter origin. Our analyses indicate that DmdA is a new gene family originated from GcvT genes by duplication and functional divergence driven by positive selection before a coevolution between Roseobacter and phytoplankton. Our data suggest that Roseobacter acquired dmdA by horizontal gene transfer prior to an environment with higher DMSP. Here, we propose that the ancestor that carried the DMSP demethylation pathway genes evolved in the Archean, and was exposed to a higher concentration of DMSP in a sulfur-rich atmosphere and anoxic ocean, compared to recent Roseobacter eco-orthologs (orthologs performing the same function under different conditions) which should be adapted to lower concentrations of DMSP.
C1 [Hernandez, Laura; Gonzalez, Jose M.] Univ La Laguna, Dept Microbiol, San Cristobal la Laguna, Spain.
[Vicens, Alberto] Univ Vigo, Dept Bioquim Genet & Inmunol, Vigo, Spain.
[Eguiarte, Luis E.; Souza, Valeria] Univ Nacl Autonoma Mexico, Inst Ecol, Dept Ecol Evolut, Mexico City, DF, Mexico.
[De Anda, Valerie] Univ Texas Austin, Marine Sci Inst, Dept Marine Sci, Port Aransas, TX USA.
RP Hernández, L (corresponding author), Univ La Laguna, Dept Microbiol, San Cristobal la Laguna, Spain.
EM lhernanj@ull.edu.es
CR Anisimova M, 2001, MOL BIOL EVOL, V18, P1585, DOI 10.1093/oxfordjournals.molbev.a003945
[Anonymous], 2017, R LANG ENV STAT COMP
[Anonymous], 2006, P 20 IEE INT PAR DIS
[Anonymous], 2013, Tracer, version 1.6, MCMC trace analysis package
Ashkenazy H, 2012, NUCLEIC ACIDS RES, V40, pW580, DOI 10.1093/nar/gks498
Bateman A, 2002, NUCLEIC ACIDS RES, V30, P276, DOI [10.1093/nar/gkp985, 10.1093/nar/gkr1065, 10.1093/nar/gkh121]
Berman HM, 2000, NUCLEIC ACIDS RES, V28, P235, DOI 10.1093/nar/28.1.235
Bielawski JP, 2004, J MOL EVOL, V59, P121, DOI 10.1007/s00239-004-2597-8
Bouckaert R, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003537
Bürgmann H, 2007, ENVIRON MICROBIOL, V9, P2742, DOI 10.1111/j.1462-2920.2007.01386.x
Bullock HA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00637
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Clamp M, 2004, BIOINFORMATICS, V20, P426, DOI 10.1093/bioinformatics/btg430
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Darriba D, 2012, NAT METHODS, V9, P772, DOI 10.1038/nmeth.2109
Darriba D, 2011, BIOINFORMATICS, V27, P1164, DOI 10.1093/bioinformatics/btr088
DeLano W.L., 2002, PyMOL: an open-source molecular graphics tool
Dickschat JS, 2015, ORG BIOMOL CHEM, V13, P1954, DOI 10.1039/c4ob02407a
FELSENSTEIN J, 1981, J MOL EVOL, V17, P368, DOI 10.1007/BF01734359
Galinski E A, 1995, Adv Microb Physiol, V37, P272, DOI 10.1016/S0065-2911(08)60148-4
Gasteiger E., 2005, PROTEOMICS PROTOCOLS, P571, DOI DOI 10.1385/1-59259-890-0:571
Gernhard T, 2008, J THEOR BIOL, V253, P769, DOI 10.1016/j.jtbi.2008.04.005
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
Gonzalez JMG, 1999, APPL ENV MICROBIOLOG, V65, P10
González JM, 2019, ISME J, V13, P1183, DOI 10.1038/s41396-019-0347-6
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Hedges SB, 2006, BIOINFORMATICS, V22, P2971, DOI 10.1093/bioinformatics/btl505
Hedges SB, 2015, MOL BIOL EVOL, V32, P835, DOI 10.1093/molbev/msv037
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Huelsenbeck JP, 1997, SCIENCE, V276, P227, DOI 10.1126/science.276.5310.227
Ito T, 2011, J PHYCOL, V47, P517, DOI 10.1111/j.1529-8817.2011.00977.x
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
KISHINO H, 1989, J MOL EVOL, V29, P170, DOI 10.1007/BF02100115
Klemetsen T, 2018, NUCLEIC ACIDS RES, V46, pD692, DOI 10.1093/nar/gkx1036
Kumar S, 2017, MOL BIOL EVOL, V34, P1812, DOI 10.1093/molbev/msx116
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Lanfear R, 2017, MOL BIOL EVOL, V34, P772, DOI 10.1093/molbev/msw260
Lartillot N, 2006, SYST BIOL, V55, P195, DOI 10.1080/10635150500433722
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Lartillot N, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-S1-S4
Le SQ, 2008, MOL BIOL EVOL, V25, P1307, DOI 10.1093/molbev/msn067
Lovelock J.E., 1983, Biomineralization and biological metal accumulation, P15, DOI DOI 10.1007/978-94-009-7944-4_2
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Magalhaes C, 2012, BIOGEOCHEMISTRY, V110, P75, DOI 10.1007/s10533-011-9690-z
Nandi S, 2005, BMC GENOMICS, V6, DOI 10.1186/1471-2164-6-116
Nelson ADL, 2018, BIOINFORMATICS, V34, P2651, DOI 10.1093/bioinformatics/bty106
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Oren A, 2005, EXTREMOPHILES, V9, P275, DOI 10.1007/s00792-005-0442-7
Pál C, 2006, NAT REV GENET, V7, P337, DOI 10.1038/nrg1838
Puigbò P, 2007, BIOINFORMATICS, V23, P1556, DOI 10.1093/bioinformatics/btm135
Raina JB, 2010, TRENDS MICROBIOL, V18, P101, DOI 10.1016/j.tim.2009.12.002
Rambaut, 2009, FIGTREE VERSION 1 4
Rambaut A, 2002, TREEANNOTATOR V1 6 1
Ravenhall M, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004095
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Roy A, 2010, NAT PROTOC, V5, P725, DOI 10.1038/nprot.2010.5
Salgado P, 2014, J MICROBIOL, V52, P948
Sanchez-Perez G, 2008, TRENDS GENET, V24, P154, DOI 10.1016/j.tig.2008.01.002
Schliep KP, 2011, BIOINFORMATICS, V27, P592, DOI 10.1093/bioinformatics/btq706
Schuller DJ, 2012, PROTEIN SCI, V21, P289, DOI 10.1002/pro.2015
Shimodaira H, 1999, MOL BIOL EVOL, V16, P1114, DOI 10.1093/oxfordjournals.molbev.a026201
Shimodaira H, 2002, SYST BIOL, V51, P492, DOI 10.1080/10635150290069913
Siltberg-Liberles J, 2011, GENES-BASEL, V2, P748, DOI 10.3390/genes2040748
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tang H, 2018, RECONSTRUCTION EVOLU
Tang K, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011604
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Williams BT, 2019, NAT MICROBIOL, V4, P1815, DOI 10.1038/s41564-019-0527-1
Wu ST, 2007, NUCLEIC ACIDS RES, V35, P3375, DOI 10.1093/nar/gkm251
Xia X, 2001, J HERED, V92, P371, DOI 10.1093/jhered/92.4.371
Yang JY, 2015, NAT METHODS, V12, P7, DOI 10.1038/nmeth.3213
Yang ZH, 2005, MOL BIOL EVOL, V22, P1107, DOI 10.1093/molbev/msi097
Yang ZH, 1998, MOL BIOL EVOL, V15, P568, DOI 10.1093/oxfordjournals.molbev.a025957
Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
Yang ZH, 2011, MOL BIOL EVOL, V28, P1217, DOI 10.1093/molbev/msq303
Yoch DC, 2002, APPL ENVIRON MICROB, V68, P5804, DOI 10.1128/AEM.68.12.5804-5815.2002
Zakon HH, 2002, BRAIN BEHAV EVOLUT, V59, P250, DOI 10.1159/000063562
Zhang JZ, 2005, MOL BIOL EVOL, V22, P2472, DOI 10.1093/molbev/msi237
Zhang JZ, 2003, TRENDS ECOL EVOL, V18, P292, DOI 10.1016/S0169-5347(03)00033-8
Zhang Y, 2005, NUCLEIC ACIDS RES, V33, P2302, DOI 10.1093/nar/gki524
NR 88
TC 6
Z9 6
PD SEP 10
PY 2020
VL 8
AR e9861
DI 10.7717/peerj.9861
UT WOS:000567750300002
DA 2025-07-30
ER
PT J
AU Lidbury, I
Kröber, E
Zhang, ZD
Zhu, YJ
Murrell, JC
Chen, Y
Schäfer, H
AF Lidbury, Ian
Krober, Eileen
Zhang, Zhidong
Zhu, Yijun
Murrell, J. Colin
Chen, Yin
Schafer, Hendrik
TI A mechanism for bacterial transformation of dimethylsulfide to
dimethylsulfoxide: a missing link in the marine organic sulfur cycle
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The volatile organosulfur compound, dimethylsulfide (DMS), plays an important role in climate regulation and global sulfur biogeochemical cycles. Microbial oxidation of DMS to dimethylsulfoxide (DMSO) represents a major sink of DMS in surface seawater, yet the underlying molecular mechanisms and key microbial taxa involved are not known. Here, we reveal that Ruegeria pomeroyi, a model marine heterotrophic bacterium, can oxidize DMS to DMSO using trimethylamine monooxygenase (Tmm). Purified Tmm oxidizes DMS to DMSO at a 1:1 ratio. Mutagenesis of the tmm gene in R. pomeroyi completely abolished DMS oxidation and subsequent DMSO formation. Expression of Tmm and DMS oxidation in R. pomeroyi is methylamine-dependent and regulated at the post-transcriptional level. Considering that Tmm is present in approximately 20% of bacterial cells inhabiting marine surface waters, particularly the marine Roseobacter clade and the SAR11 clade, our observations contribute to a mechanistic understanding of biological DMSO production in surface seawater.
C1 [Lidbury, Ian; Krober, Eileen; Zhu, Yijun; Chen, Yin; Schafer, Hendrik] Univ Warwick, Sch Life Sci, Gibbet Hill Campus, Coventry CV4 7AL, W Midlands, England.
[Zhang, Zhidong] Xinjiang Acad Agr Sci, Inst Microbiol, Urumqi 830091, Peoples R China.
[Murrell, J. Colin] Univ East Anglia, Sch Environm Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
RP Chen, Y; Schäfer, H (corresponding author), Univ Warwick, Sch Life Sci, Gibbet Hill Campus, Coventry CV4 7AL, W Midlands, England.
EM Y.chen.25@warwick.ac.uk; H.schaefer@warwick.ac.uk
CR Alfieri A, 2008, P NATL ACAD SCI USA, V105, P6572, DOI 10.1073/pnas.0800859105
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Asher EC, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049712
Aylward FO, 2015, P NATL ACAD SCI USA, V112, P5443, DOI 10.1073/pnas.1502883112
Bastet L, 2011, MOL MICROBIOL, V80, P1148, DOI 10.1111/j.1365-2958.2011.07654.x
Boden R., 2012, ENVIRON MICROBIOL, V12, P2688
Boden R, 2011, FEMS MICROBIOL LETT, V322, P188, DOI 10.1111/j.1574-6968.2011.02349.x
BRIMBLECOMBE P, 1986, MAR CHEM, V19, P343, DOI 10.1016/0304-4203(86)90055-1
Bucciarelli E, 2013, LIMNOL OCEANOGR, V58, P1667, DOI 10.4319/lo.2013.58.5.1667
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Chen Y, 2012, ENVIRON MICROBIOL, V14, P2308, DOI 10.1111/j.1462-2920.2012.02765.x
Chen Y, 2011, P NATL ACAD SCI USA, V108, P17791, DOI 10.1073/pnas.1112928108
Cui YS, 2015, APPL ENVIRON MICROB, V81, P4184, DOI 10.1128/AEM.03873-14
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
del Valle DA, 2007, LIMNOL OCEANOGR, V52, P2456, DOI 10.4319/lo.2007.52.6.2456
del Valle DA, 2007, MAR CHEM, V103, P197, DOI 10.1016/j.marchem.2006.07.005
del Valle DA, 2009, DEEP-SEA RES PT I, V56, P166, DOI 10.1016/j.dsr.2008.09.005
DesZwart J. M. M., 1996, MICROB ECOL, V20, P261
Georg J, 2011, MICROBIOL MOL BIOL R, V75, P286, DOI 10.1128/MMBR.00032-10
Gibb SW, 2004, MAR CHEM, V91, P65, DOI 10.1016/j.marchem.2004.04.005
Gibb SW, 1999, DEEP-SEA RES PT II, V46, P593, DOI 10.1016/S0967-0645(98)00119-2
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Gilbert B, 2000, APPL ENVIRON MICROB, V66, P966, DOI 10.1128/AEM.66.3.966-975.2000
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Green DH, 2011, APPL ENVIRON MICROB, V77, P3137, DOI 10.1128/AEM.02675-10
Hatton AD, 1998, DEEP-SEA RES PT II, V45, P1043, DOI 10.1016/S0967-0645(98)00017-4
Hatton AD, 1999, DEEP-SEA RES PT II, V46, P617, DOI 10.1016/S0967-0645(98)00120-9
Hatton AD, 2007, AQUAT SCI, V69, P330, DOI 10.1007/s00027-007-0891-4
Hatton AD, 2012, BIOGEOCHEMISTRY, V110, P131, DOI 10.1007/s10533-012-9702-7
Jonkers HM, 1996, FEMS MICROBIOL LETT, V136, P283
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
KIENE RP, 1990, NATURE, V345, P702, DOI 10.1038/345702a0
Krueger SK, 2005, PHARMACOL THERAPEUT, V106, P357, DOI 10.1016/j.pharmthera.2005.01.001
Lee PA, 1999, J PHYCOL, V35, P8, DOI 10.1046/j.1529-8817.1999.3510008.x
Lidbury I, 2015, ENVIRON MICROBIOL, V17, P5048, DOI 10.1111/1462-2920.12943
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Lidbury IDEA, 2015, ISME J, V9, P760, DOI 10.1038/ismej.2014.149
McDevitt CA, 2002, MOL MICROBIOL, V44, P1575, DOI 10.1046/j.1365-2958.2002.02978.x
Miller TR, 2004, APPL ENVIRON MICROB, V70, P3383, DOI 10.1128/AEM.70.6.3383-3391.2004
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nelson CE, 2014, ENVIRON MICROBIOL, V16, P871, DOI 10.1111/1462-2920.12241
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Pfreundt U, 2014, SCI REP-UK, V4, DOI 10.1038/srep06187
Riseman SF, 2004, CAN J FISH AQUAT SCI, V61, P721, DOI 10.1139/F04-052
Sakurai I, 2012, PLANT PHYSIOL, V160, P1000, DOI 10.1104/pp.112.202127
Schäfer H, 2010, J EXP BOT, V61, P315, DOI 10.1093/jxb/erp355
Schäfer H, 2005, ENVIRON MICROBIOL, V7, P839, DOI 10.1111/j.1462-2920.2005.00757.x
Sesto N, 2013, NAT REV MICROBIOL, V11, P75, DOI 10.1038/nrmicro2934
Simó R, 2000, MAR ECOL PROG SER, V203, P1, DOI 10.3354/meps203001
Simo R, 1998, MAR ECOL PROG SER, V167, P291, DOI 10.3354/meps167291
Sjöstedt J, 2014, APPL ENVIRON MICROB, V80, P2786, DOI 10.1128/AEM.00099-14
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stazic D, 2011, NUCLEIC ACIDS RES, V39, P4890, DOI 10.1093/nar/gkr037
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
TYNES RE, 1986, ARCH BIOCHEM BIOPHYS, V251, P654, DOI 10.1016/0003-9861(86)90375-9
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Vila-Costa M, 2008, LIMNOL OCEANOGR, V53, P198, DOI 10.4319/lo.2008.53.1.0198
Vila-Costa M, 2006, ENVIRON MICROBIOL, V8, P2189, DOI 10.1111/j.1462-2920.2006.01102.x
Watts SF, 2000, ATMOS ENVIRON, V34, P761, DOI 10.1016/S1352-2310(99)00342-8
WILLIAMS DE, 1985, MOL PHARMACOL, V28, P381
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Zhu YJ, 2014, ENVIRON MICROBIOL, V16, P3318, DOI 10.1111/1462-2920.12585
Zubkov M, 2004, MAR ECOL PROG SER, V271, P77, DOI 10.3354/meps271077
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 72
TC 49
Z9 51
PD AUG
PY 2016
VL 18
IS 8
BP 2754
EP 2766
DI 10.1111/1462-2920.13354
UT WOS:000383388800040
DA 2025-07-30
ER
PT J
AU Reboul, G
Moreira, D
Annenkova, NV
Bertolino, P
Vershinin, KE
López-García, P
AF Reboul, Guillaume
Moreira, David
Annenkova, Nataliia V.
Bertolino, Paola
Vershinin, Konstantin E.
Lopez-Garcia, Purificacion
TI Marine signature taxa and core microbial community stability along
latitudinal and vertical gradients in sediments of the deepest
freshwater lake
SO ISME JOURNAL
DT Article; Early Access
AB Lake Baikal is the deepest (similar to 1.6 km) and most voluminous freshwater reservoir on Earth. Compared to plankton, its benthos remains poorly explored. Here, we ask whether latitude and/or depth determine benthic microbial community structure and how Baikal communities compare to those of other freshwater, brackish and marine sediments. To answer, we collected sediment upper layers (0-1 cm) across a similar to 600 km North-South transect covering the three basins of the lake and from littoral to bathybenthic depths (0.5-1450 m). Analysis of 16S and 18S rRNA gene amplicon sequences revealed communities with high richness and evenness where rare operational taxonomic units (OTUs) collectively dominated. Archaea represented up to 25% or prokaryotic sequences. Baikal sediments harbored typically marine eukaryotic and prokaryotic OTUs recently identified in some lakes (diplonemids, Bolidophyceae, Mamiellales, SAR202, marine-like Synechococcus, Pelagibacterales) but also SAR324, Syndiniales and Radiolaria. We hypothesize that, beyond the salinity barrier, adaptation to oligotrophy explains the presence of these otherwise typically marine lineages. Baikal core benthic communities were relatively stable across sites and seemed not determined by depth or latitude. Comparative analyses with other freshwater, brackish and marine prokaryotic sediment communities confirmed the distinctness of Baikal benthos, which include elements of similarity to marine and hydrothermally influenced systems.
C1 [Reboul, Guillaume; Moreira, David; Bertolino, Paola; Lopez-Garcia, Purificacion] Univ Paris Saclay, AgroParisTech, Ecol Systemat Evolut, Ctr Natl Rech Sci CNRS, Orsay, France.
[Annenkova, Nataliia V.; Vershinin, Konstantin E.] Russian Acad Sci, Siberian Branch, Limnol Inst, Irkutsk, Russia.
RP López-García, P (corresponding author), Univ Paris Saclay, AgroParisTech, Ecol Systemat Evolut, Ctr Natl Rech Sci CNRS, Orsay, France.
CR Annenkova NV, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8040543
Biddle JF, 2008, P NATL ACAD SCI USA, V105, P10583, DOI 10.1073/pnas.0709942105
Castelle CJ, 2018, NAT REV MICROBIOL, V16, P629, DOI 10.1038/s41579-018-0076-2
David GM, 2021, ENVIRON MICROBIOL, V23, P1436, DOI 10.1111/1462-2920.15346
Dombrowski N, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0322-2
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Granin NG, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55758-8
Kurilkina MI, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw094
Lomakina AV, 2018, GEOMICROBIOL J, V35, P50, DOI 10.1080/01490451.2017.1315195
Moore MV, 2009, BIOSCIENCE, V59, P405, DOI 10.1525/bio.2009.59.5.8
Mukherjee I, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02375
Paver SF, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00232-18
Podosokorskaya OA, 2013, ENVIRON MICROBIOL, V15, P1759, DOI 10.1111/1462-2920.12067
Roberts SL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208765
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Spring S, 2018, ENVIRON MICROBIOL, V20, P2438, DOI 10.1111/1462-2920.14253
UNDP-GEF, 2015, EC ATL BAIK BAS, P145
Yi ZZ, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix073
Zakharenko AS, 2019, MICROB ECOL, V78, P269, DOI 10.1007/s00248-018-1299-5
Zemskaya TI, 2020, APPL MICROBIOL BIOT, V104, P6079, DOI 10.1007/s00253-020-10660-6
NR 20
TC 0
Z9 0
PD 2021 MAY 19
PY 2021
DI 10.1038/541396-021-01011-y
EA MAY 2021
UT WOS:000652099700002
DA 2025-07-30
ER
PT J
AU Shannon, KC
St John, G
Gould, R
Hartzell, C
Matthews, H
Brennan, EJ
Bolaños, LM
Lindley, ST
Field, JC
Mantua, N
Johnson, R
Jeffres, C
Colwell, FS
Suffridge, CP
AF Shannon, Kelly C.
St John, Gillian
Gould, Robin
Hartzell, Christopher
Matthews, Hailey
Brennan, Elizabeth J.
Bolanos, Luis M.
Lindley, Steven T.
Field, John C.
Mantua, Nate
Johnson, Rachel
Jeffres, Carson
Colwell, Frederick S.
Suffridge, Christopher P.
TI Springtime upwelling conditions influence microbial communities and
dissolved thiamin compounds in the California Current Ecosystem
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Understanding dissolved concentrations of the essential coenzyme thiamin (vitamin B-1) can provide insights into the biological controls on highly productive upwelling systems such as the California Current Ecosystem. To connect thiamin availability with microbial communities in the California Current Ecosystem, we measured concentrations of dissolved thiamin and its biochemically related moieties (thiamin congeners) and 16S rRNA gene-based microbial communities during the spring. We found that strong upwelling caused a depletion of dissolved thiamin precursor compounds and abiotic degradation products relative to periods of weak upwelling. Specific microbial taxa, including species of SAR11 ecotypes, Candidatus Nitrosopumilus, and SUP05 cluster, were also significantly enriched with strong upwelling. Our data provide evidence that alterations to microbial communities in the mixed layer that occur as a result of upwelling could constrain the availability of dissolved thiamin and its chemical congeners in the California Current Ecosystem.
C1 [Shannon, Kelly C.; St John, Gillian; Matthews, Hailey; Brennan, Elizabeth J.; Colwell, Frederick S.; Suffridge, Christopher P.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Gould, Robin; Hartzell, Christopher] Oregon State Univ, Dept Biochem & Biophys, Corvallis, OR USA.
[Bolanos, Luis M.] Univ Exeter, Sch Biosci, Exeter, England.
[Lindley, Steven T.; Field, John C.; Mantua, Nate; Johnson, Rachel] NOAA Fisheries, Southwest Fisheries Sci Ctr, Santa Cruz, CA USA.
[Johnson, Rachel; Jeffres, Carson] Univ Calif Davis, Ctr Watershed Sci, Davis, CA USA.
[Colwell, Frederick S.] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR USA.
RP Suffridge, CP (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM suffridc@oregonstate.edu
CR Abdallah Z. S., 2017, ENCY MACHINE LEARNIN, P318, DOI DOI 10.1007/978-1-4899-7687-1_62
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Arts I., 2021, Journal of Open Source Software, V6, P3201, DOI [10.21105/joss.03201, DOI 10.21105/JOSS.03201]
Bayer B, 2019, ENVIRON MICROBIOL, V21, P4062, DOI 10.1111/1462-2920.14755
Bertrand EM, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00375
Bittner MJ, 2024, ISME COMMUN, V4, DOI 10.1093/ismeco/ycad016
Bograd SJ, 2023, ANNU REV MAR SCI, V15, P303, DOI 10.1146/annurev-marine-032122-021945
Bolanos LM, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00198-1
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cao Y, 2022, BIOINFORMATICS, V38, P4027, DOI 10.1093/bioinformatics/btac438
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
CARLUCCI AF, 1969, J PHYCOL, V5, P302, DOI 10.1111/j.1529-8817.1969.tb02618.x
Carter GS, 2002, J PHYS OCEANOGR, V32, P3145, DOI 10.1175/1520-0485(2002)032<3145:IVMNTH>2.0.CO;2
Checkley DM, 2009, PROG OCEANOGR, V83, P49, DOI 10.1016/j.pocean.2009.07.028
Cheresh J, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL089553
Closek CJ, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00732
Cornec M, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2020GB006759
Countway PD, 2010, LIMNOL OCEANOGR, V55, P2381, DOI 10.4319/lo.2010.55.6.2381
Croft MT, 2006, EUKARYOT CELL, V5, P1175, DOI 10.1128/EC.00097-06
Davis Nicole M, 2018, Microbiome, V6, P226, DOI 10.1186/s40168-018-0605-2
de Boyer Montégut C, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002378
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
DWIVEDI BK, 1973, J AGR FOOD CHEM, V21, P54, DOI 10.1021/jf60185a004
Ernst F.G.M., 2023, mia: microbiome analysis.
Ewels P, 2016, BIOINFORMATICS, V32, P3047, DOI 10.1093/bioinformatics/btw354
Field JC, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0251638
GOLD K, 1968, LIMNOL OCEANOGR, V13, P185, DOI 10.4319/lo.1968.13.1.0185
Gutowska MA, 2017, MBIO, V8, DOI [10.1128/mBio.01459-17, 10.1128/mbio.01459-17]
Heal KR, 2014, RAPID COMMUN MASS SP, V28, P2398, DOI 10.1002/rcm.7040
Hickey B.M., 1995, Proceedings Hawaiian Winter Workshop, Jan. 17-20, P95
Hickey BM, 2003, ESTUARIES, V26, P1010, DOI 10.1007/BF02803360
HUYER A, 1983, PROG OCEANOGR, V12, P259, DOI 10.1016/0079-6611(83)90010-1
Jacox MG, 2018, J GEOPHYS RES-OCEANS, V123, P7332, DOI 10.1029/2018JC014187
James CC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30139-4
Jurgenson CT, 2009, ANNU REV BIOCHEM, V78, P569, DOI 10.1146/annurev.biochem.78.072407.102340
Kraft CE, 2017, Q REV BIOL, V92, P151, DOI 10.1086/692168
Lin H, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-17041-7
Mallick H, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009442
McKnight DT, 2019, METHODS ECOL EVOL, V10, P389, DOI 10.1111/2041-210X.13115
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Minich JJ, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00186-19
Monteverde DR, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00434
Oksanen, 2022, VEGAN COMMUNITY ECOL
Paerl RW, 2018, P NATL ACAD SCI USA, V115, pE10447, DOI 10.1073/pnas.1806425115
Paerl RW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24321-2
Paerl RW, 2017, ISME J, V11, P753, DOI 10.1038/ismej.2016.145
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R. Team, 2020, RStudio: Integrated Development for R. Rstudio
Ramette A, 2014, FRONT MICROBIOL, V5, DOI [10.3389/fmicb.2014.00601, 10.3389/fmicb.2014.00660]
Santora JA, 2021, OCEANOGRAPHY, V34, DOI 10.5670/oceanog.2021.212
Santora JA, 2012, PROG OCEANOGR, V106, P154, DOI 10.1016/j.pocean.2012.08.005
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Santoro AE, 2010, LIMNOL OCEANOGR, V55, P264, DOI 10.4319/lo.2010.55.1.0264
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Steger JM, 2000, DEEP-SEA RES PT II, V47, P907, DOI 10.1016/S0967-0645(99)00131-9
Suffridge CP, 2018, J GEOPHYS RES-BIOGEO, V123, P2890, DOI 10.1029/2018JG004554
Suffridge C, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00011
Suffridge CP, 2024, APPL ENVIRON MICROB, V90, DOI 10.1128/aem.01760-23
Suffridge CP, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.606342
Thompson AR, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.958727
Vander Woude AJ, 2006, DEEP-SEA RES PT II, V53, P2985, DOI 10.1016/j.dsr2.2006.07.003
Venrick EL, 2009, J MAR RES, V67, P89, DOI 10.1357/002224009788597917
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
Wickham H., 2019, J. Open Source Softw, V4, P1686, DOI [DOI 10.21105/JOSS.01686, 10.21105/joss.01686]
Wienhausen G, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.876726
Wienhausen G, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01985
Xiu P, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-21247-7
Yu GC, 2017, METHODS ECOL EVOL, V8, P28, DOI 10.1111/2041-210X.12628
Zhang K, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2016.213
Zhou J, 2023, ESTUAR COAST SHELF S, V287, DOI 10.1016/j.ecss.2023.108336
NR 72
TC 1
Z9 1
PD MAY
PY 2025
VL 70
IS 5
BP 1386
EP 1403
DI 10.1002/lno.70021
EA MAR 2025
UT WOS:001449480000001
DA 2025-07-30
ER
PT J
AU Seymour, JR
Doblin, MA
Jeffries, TC
Brown, MV
Newton, K
Ralph, PJ
Baird, M
Mitchell, JG
AF Seymour, Justin R.
Doblin, Martina A.
Jeffries, Thomas C.
Brown, Mark V.
Newton, Kelly
Ralph, Peter J.
Baird, Mark
Mitchell, James G.
TI Contrasting microbial assemblages in adjacent water masses associated
with the East Australian Current
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Different oceanographic provinces host discrete microbial assemblages that are adapted to local physicochemical conditions. We sequenced and compared the metagenomes of two microbial communities inhabiting adjacent water masses in the Tasman Sea, where the recent strengthening of the East Australian Current (EAC) has altered the ecology of coastal environments. Despite the comparable latitude of the samples, significant phylogenetic differences were apparent, including shifts in the relative frequency of matches to Cyanobacteria, Crenarchaeota and Euryarchaeota. Fine-scale variability in the structure of SAR11, Prochlorococcus and Synechococcus populations, with more matches to warm-water ecotypes observed in the EAC, indicates the EAC may drive an intrusion of tropical microbes into temperate regions of the Tasman Sea. Furthermore, significant shifts in the relative importance of 17 metabolic categories indicate that the EAC prokaryotic community has different physiological properties than surrounding waters.
C1 [Seymour, Justin R.; Doblin, Martina A.; Ralph, Peter J.; Baird, Mark] Univ Technol Sydney, Sydney, NSW 2007, Australia.
[Jeffries, Thomas C.; Newton, Kelly; Mitchell, James G.] Flinders Univ S Australia, Sch Biol Sci, Adelaide, SA 5001, Australia.
[Brown, Mark V.] Univ New S Wales, Sch Biotechnol & Biomol Sci, Kensington, NSW 2052, Australia.
RP Seymour, JR (corresponding author), Univ Technol Sydney, POB 123, Sydney, NSW 2007, Australia.
EM justin.seymour@uts.edu.au
CR Baird ME, 2008, DEEP-SEA RES PT I, V55, P1438, DOI 10.1016/j.dsr.2008.06.011
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Bryden HL, 2005, NATURE, V438, P655, DOI 10.1038/nature04385
Cai W, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024701
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Delmont TO, 2011, ISME J, V5, P1837, DOI 10.1038/ismej.2011.61
Ducklow H.W., 2010, ENVIRON MICROBIOL, V2nd ed., P1
Edwards JL, 2010, GENES-BASEL, V1, P371, DOI 10.3390/genes1030371
Hallegraeff G., 2009, MARINE CLIMATE CHANG, P1
Hewson I, 2009, LIMNOL OCEANOGR, V54, P1981, DOI 10.4319/lo.2009.54.6.1981
Hill KL, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032912
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Jeffries TC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025173
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Last PR, 2011, GLOBAL ECOL BIOGEOGR, V20, P58, DOI 10.1111/j.1466-8238.2010.00575.x
Ling SD, 2009, P NATL ACAD SCI USA, V106, P22341, DOI 10.1073/pnas.0907529106
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Parks DH, 2010, BIOINFORMATICS, V26, P715, DOI 10.1093/bioinformatics/btq041
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Pfister CA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010518
Poroyko V, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012459
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ridgway KR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030393
Ridgway KH.K., 2009, A Marine Climate Change Impacts and Adaptation Report Card for Australia 2009, P1
Smith RJ, 2012, ENVIRON MICROBIOL, V14, P240, DOI 10.1111/j.1462-2920.2011.02614.x
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun SL, 2011, NUCLEIC ACIDS RES, V39, pD546, DOI 10.1093/nar/gkq1102
Thompson PA, 2009, MAR ECOL PROG SER, V394, P1, DOI 10.3354/meps08297
Thurber RV, 2009, ENVIRON MICROBIOL, V11, P2148, DOI 10.1111/j.1462-2920.2009.01935.x
Toledo G, 2003, LIMNOL OCEANOGR, V48, P1744, DOI 10.4319/lo.2003.48.5.1744
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Wu LX, 2012, NAT CLIM CHANGE, V2, P161, DOI 10.1038/NCLIMATE1353
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 39
TC 23
Z9 26
PD OCT
PY 2012
VL 4
IS 5
BP 548
EP 555
DI 10.1111/j.1758-2229.2012.00362.x
UT WOS:000309445800011
DA 2025-07-30
ER
PT J
AU Halsey, KH
Giovannoni, SJ
Graus, M
Zhao, YL
Landry, Z
Thrash, JC
Vergin, KL
de Gouw, J
AF Halsey, Kimberly H.
Giovannoni, Stephen J.
Graus, Martin
Zhao, Yanlin
Landry, Zachary
Thrash, J. Cameron
Vergin, Kevin L.
de Gouw, Joost
TI Biological cycling of volatile organic carbon by phytoplankton and
bacterioplankton
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Acetaldehyde, methanol, acetone, and isoprene are important reactive volatile organic compounds (VOCs) in the oceans that partition to the atmosphere in significant amounts. Reports of potentially high rates of VOC turnover in the North Atlantic suggested that both biotic and abiotic processes are involved. The biological basis for VOC cycling by ocean plankton is unknown, but is potentially important because of VOC contributions to carbon cycle budgets and atmospheric chemistry. We designed dynamic stripping chambers that coupled to a proton transfer reaction mass spectrometer to measure VOC production and consumption by cultured phytoplankton and bacterioplankton. The diatom, Thalassiosira pseudonana, produced acetaldehyde in a light-dependent manner. Acetaldehyde was oxidized by the chemoheterotrophic bacterium, Pelagibacter, at rates that suggest that most acetaldehyde is recycled in the ocean before escaping to the atmosphere. These results show that field observations of acetaldehyde turnover reported previously could be explained by biological activity. Rates of production by phytoplankton cultures of methanol, acetone, and isoprene were also measured. These findings support the conclusion that VOCs are a conduit for carbon transfer directly from phytoplankton to bacterioplankton, with the remainder available for escape to the atmosphere.
C1 [Halsey, Kimberly H.; Giovannoni, Stephen J.; Zhao, Yanlin; Landry, Zachary; Thrash, J. Cameron; Vergin, Kevin L.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Graus, Martin; de Gouw, Joost] Univ Colorado, NOAA, Earth Syst Res Lab, Boulder, CO 80309 USA.
[Graus, Martin; de Gouw, Joost] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO USA.
[Graus, Martin] Univ Innsbruck, Inst Atmospher & Cryospher Sci, Innsbruck, Austria.
[Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll Life Sci, Fuzhou, Fujian, Peoples R China.
[Thrash, J. Cameron] Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA.
RP Halsey, KH (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM halseyk@science.oregonstate.edu
CR Beale R, 2015, MAR CHEM, V171, P96, DOI 10.1016/j.marchem.2015.02.013
Bonsang B, 2010, ENVIRON CHEM, V7, P554, DOI 10.1071/EN09156
Bopp L, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023653
Broadgate WJ, 1997, GEOPHYS RES LETT, V24, P2675, DOI 10.1029/97GL02736
BURTON RM, 1953, J BIOL CHEM, V202, P873
Chistoserdova L, 2009, ANNU REV MICROBIOL, V63, P477, DOI 10.1146/annurev.micro.091208.073600
Collins R. P., 1963, Phycologia, V3, P55, DOI 10.2216/i0031-8884-3-2-55.1
COLLINS RP, 1966, J PROTOZOOL, V13, P435, DOI 10.1111/j.1550-7408.1966.tb01935.x
COLLINS RP, 1965, LLOYD, V28, P48
Colomb A, 2008, J ENVIRON MONITOR, V10, P325, DOI 10.1039/b715312k
de Bruyn WJ, 2011, J PHOTOCH PHOTOBIO A, V226, P16, DOI 10.1016/j.jphotochem.2011.10.002
de Gouw J, 2007, MASS SPECTROM REV, V26, P223, DOI 10.1002/mas.20119
Dixon JL, 2011, BIOGEOSCIENCES, V8, P2707, DOI 10.5194/bg-8-2707-2011
Dixon JL, 2013, GEOPHYS RES LETT, V40, P4700, DOI 10.1002/grl.50922
Dixon JL, 2011, ISME J, V5, P704, DOI 10.1038/ismej.2010.169
Duarte CM, 2013, ANNU REV MAR SCI, V5, P551, DOI 10.1146/annurev-marine-121211-172337
Exton DA, 2013, LIMNOL OCEANOGR, V58, P1301, DOI 10.4319/lo.2013.58.4.1301
Fall R, 1996, TRENDS PLANT SCI, V1, P296, DOI 10.1016/S1360-1385(96)88175-0
Fischer EV, 2012, GEOPHYS RES LETT, V39, DOI [10.1029/2011GL050086, 10.1029/2011gl050086]
Folkins I, 2000, J GEOPHYS RES-ATMOS, V105, P11585, DOI 10.1029/2000JD900067
Gantt B, 2009, ATMOS CHEM PHYS, V9, P4915, DOI 10.5194/acp-9-4915-2009
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
GOODWIN GW, 1989, J BIOL CHEM, V264, P14965
GUENTHER A, 1995, J GEOPHYS RES-ATMOS, V100, P8873, DOI 10.1029/94JD02950
Guillard R.R.L., 1975, Culture of Marine Invertebrate Animals, P29, DOI [10.1007/978-1-4615-8714-9_3, DOI 10.1007/978-1-4615-8714-9_3]
Halsey KH, 2015, ANNU REV MAR SCI, V7, P265, DOI 10.1146/annurev-marine-010814-015813
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Hellebust J. A., 2000, DISSOLVED ORGANIC CA, P838
Ho KK, 2005, J BACTERIOL, V187, P1067, DOI 10.1128/JB.187.3.1067-1073.2005
Hüve K, 2007, J EXP BOT, V58, P1783, DOI 10.1093/jxb/erm038
Jacob DJ, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000694
Jo JE, 2008, APPL MICROBIOL BIOT, V81, P51, DOI 10.1007/s00253-008-1608-x
KIEBER DJ, 1989, NATURE, V341, P637, DOI 10.1038/341637a0
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NEMECEKMARSHALL M, 1995, APPL ENVIRON MICROB, V61, P44, DOI 10.1128/AEM.61.1.44-47.1995
Orlikowska A, 2009, ENVIRON CHEM, V6, P495, DOI 10.1071/EN09107
PARSOT C, 1991, J BACTERIOL, V173, P2842, DOI 10.1128/JB.173.9.2842-2851.1991
PRIEFERT H, 1992, J BACTERIOL, V174, P899, DOI 10.1128/jb.174.3.899-907.1992
Riemer D, 1998, THESIS
Ritchie RJ, 2006, PHOTOSYNTH RES, V89, P27, DOI 10.1007/s11120-006-9065-9
Rothacker B, 2008, MOL BIOCHEM PARASIT, V161, P32, DOI 10.1016/j.molbiopara.2008.06.001
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Shaw SL, 2003, MAR CHEM, V80, P227, DOI 10.1016/S0304-4203(02)00101-9
Simo R., 2011, ROLE MARINE BIOTA FU, P107
SINGH HB, 1995, NATURE, V378, P50, DOI 10.1038/378050a0
Sophos NA, 2003, CHEM-BIOL INTERACT, V143, P5, DOI 10.1016/S0009-2797(02)00163-1
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Sunda WG, 2007, AQUAT SCI, V69, P341, DOI 10.1007/s00027-007-0887-0
SUZUKI Y, 1992, DEEP-SEA RES, V39, P185, DOI 10.1016/0198-0149(92)90104-2
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vasiliou V, 1999, PHARMACOGENETICS, V9, P421, DOI 10.1097/00008571-199910000-00004
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wang MJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0072082
Warneke C, 1999, GLOBAL BIOGEOCHEM CY, V13, P9, DOI 10.1029/98GB02428
Warneke C, 2001, ATMOS ENVIRON, V35, P5923, DOI 10.1016/S1352-2310(01)00384-3
Williams J, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020012
Yang M, 2014, ATMOS CHEM PHYS, V14, P7499, DOI 10.5194/acp-14-7499-2014
Zhou XL, 1997, MAR CHEM, V56, P201, DOI 10.1016/S0304-4203(96)00076-X
NR 62
TC 45
Z9 49
PD NOV
PY 2017
VL 62
IS 6
BP 2650
EP 2661
DI 10.1002/lno.10596
UT WOS:000415930800021
DA 2025-07-30
ER
PT J
AU Nikrad, MP
Cottrell, MT
Kirchman, DL
AF Nikrad, Mrinalini P.
Cottrell, M. T.
Kirchman, D. L.
TI Abundance and Single-Cell Activity of Heterotrophic Bacterial Groups in
the Western Arctic Ocean in Summer and Winter
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Environmental conditions in the western Arctic Ocean range from constant light and nutrient depletion in summer to complete darkness and sea ice cover in winter. This seasonal environmental variation is likely to have an effect on the use of dissolved organic matter (DOM) by heterotrophic bacteria in surface water. However, this effect is not well studied and we know little about the activity of specific bacterial clades in the surface oceans. The use of DOM by three bacterial subgroups in both winter and summer was examined by microautoradiography combined with fluorescence in situ hybridization. We found selective use of substrates by these groups, although the abundances of Ant4D3 (Antarctic Gammaproteobacteria), Polaribacter (Bacteroidetes), and SAR11 (Alphaproteobacteria) were not different between summer and winter in the Beaufort and Chukchi Seas. The number of cells taking up glucose within all three bacterial groups decreased significantly from summer to winter, while the percentage of cells using leucine did not show a clear pattern between seasons. The uptake of the amino acid mix increased substantially from summer to winter by the Ant4D3 group, although such a large increase in uptake was not seen for the other two groups. Use of glucose by bacteria, but not use of leucine or the amino acid mix, related strongly to inorganic nutrients, chlorophyll a, and other environmental factors. Our results suggest a switch in use of dissolved organic substrates from summer to winter and that the three phylogenetic subgroups examined fill different niches in DOM use in the two seasons.
C1 [Nikrad, Mrinalini P.; Cottrell, M. T.; Kirchman, D. L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Christman GD, 2011, APPL ENVIRON MICROB, V77, P2026, DOI 10.1128/AEM.01907-10
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Ducklow H, 2001, DEEP-SEA RES PT II, V48, P4199, DOI 10.1016/S0967-0645(01)00086-8
Ducklow HW, 2007, PHILOS T R SOC B, V362, P67, DOI 10.1098/rstb.2006.1955
DUCKLOW HW, 1993, DEEP-SEA RES PT II, V40, P245, DOI 10.1016/0967-0645(93)90016-G
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Emmerton CA, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2006GB002856
GROSSMANN S, 1994, MICROB ECOL, V28, P1, DOI 10.1007/BF00170244
Grzymski JJ, 2006, APPL ENVIRON MICROB, V72, P1532, DOI 10.1128/AEM.72.2.1532-1541.2006
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Holmes RM, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032837
Holmes RM, 2012, ESTUAR COAST, V35, P369, DOI 10.1007/s12237-011-9386-6
Kellogg CTE, 2009, AQUAT MICROB ECOL, V57, P1, DOI 10.3354/ame01317
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirchman DL, 2009, DEEP-SEA RES PT II, V56, P1237, DOI 10.1016/j.dsr2.2008.10.018
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kirchman DL, 2005, DEEP-SEA RES PT II, V52, P3386, DOI 10.1016/j.dsr2.2005.09.005
KIRCHMAN DL, 1993, DEEP-SEA RES PT I, V40, P967, DOI 10.1016/0967-0637(93)90084-G
Kirchman DL., 2000, MICROBIAL ECOLOGY OC, P261
Longnecker K, 2010, ENVIRON MICROBIOL, V12, P2773, DOI 10.1111/j.1462-2920.2010.02247.x
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Sherr BF, 2003, DEEP-SEA RES PT I, V50, P529, DOI 10.1016/S0967-0637(03)00030-X
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Skoog A, 2002, LIMNOL OCEANOGR, V47, P1676, DOI 10.4319/lo.2002.47.6.1676
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Varela MM, 2011, ENVIRON MICROBIOL, V13, P1524, DOI 10.1111/j.1462-2920.2011.02457.x
Wells LE, 2003, AQUAT MICROB ECOL, V31, P19, DOI 10.3354/ame031019
Yager PL, 2001, LIMNOL OCEANOGR, V46, P790, DOI 10.4319/lo.2001.46.4.0790
NR 45
TC 44
Z9 50
PD APR
PY 2012
VL 78
IS 7
BP 2402
EP 2409
DI 10.1128/AEM.07130-11
UT WOS:000301344300038
DA 2025-07-30
ER
PT J
AU Fuchs, BM
Woebken, D
Zubkov, MV
Burkill, P
Amann, R
AF Fuchs, BM
Woebken, D
Zubkov, MV
Burkill, P
Amann, R
TI Molecular identification of picoplankton populations in contrasting
waters of the Arabian Sea
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB The composition of picoplankton in the southern oligotrophic, northern mesotrophic waters and deep oxygen minimum zone (OMZ) of the Arabian Sea was determined by 16S ribosomal RNA gene cloning and fluorescence in situ hybridisation (FISH). It was hypothesised that the composition of the heterotrophic picoplankton would be different in these contrasting waters. To reduce the total diversity, cells were sorted by flow cytometry according to their scatter and DNA content before PCR amplification. The 16S rRNA clone libraries resulting from flow-sorted populations were different and often dominated by a small number of clades. Libraries from the Prochlorococcus-dominated southerly waters were dominated by sequences related to uncultured clusters of SAR11, SAR86 and Actinobacteria (HGC 1). From surface waters of the Synechococcus-dominated northern part of the Arabian Sea, mostly sequences related to the uncultured gammaproteobacterial group 'Svalbard' and HGC I were retrieved. The clone libraries from the OMZ were also dominated by sequences falling in the clades SARI 1 and SAR406, but included sequences related to those of sulfate-reducing (Desulfosarcina, Desulfofrigus) and sulfide-oxidising bacteria (endosymbionts of Riftia and Calyptogena). With a recently developed more sensitive FISH protocol approximately 60% of all DAPI stained cells could be identified by general probes as Bacteria, Cren- or Euryarchaeota in both provinces of the Arabian Sea; 40% remained undetected. On this level and on that of the major phylogenetic groups like Alpha- and Gammaproteobacteria only minor differences were detected by FISH. However, the composition of heterotrophic picoplankton clearly differed for the proteobacterial subgroups SAR86, SAR11 and SAR116. These were more abundant in the oligotrophic waters throughout the water column than in the mesotrophic surface waters and the OMZ. This supports our original hypothesis that the contrasting waters in the Arabian Sea harbor different heterotrophic picoplankton communities. In the future, FISH with a larger set of probes for more narrow phylogenetic groups will enable us to quantify these differences in more detail.
C1 Max Planck Inst Marine Microbiol, D-28359 Bremen, Germany.
Southampton Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
RP Fuchs, BM (corresponding author), Max Planck Inst Marine Microbiol, Celsiusstr 1, D-28359 Bremen, Germany.
EM bfuchs@mpi-bremen.de
CR Amann R. I., 1995, MOL MICROBIAL ECOLOG, P1, DOI 10.1007/978-94-011-0351-023
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Barber RT, 2001, DEEP-SEA RES PT II, V48, P1127, DOI 10.1016/S0967-0645(00)00134-X
Behrens S, 2003, APPL ENVIRON MICROB, V69, P1748, DOI 10.1128/AEM.69.3.1748-1758.2003
BROCK JC, 1992, J GEOPHYS RES-OCEANS, V97, P733, DOI 10.1029/91JC02225
BROSIUS J, 1981, J MOL BIOL, V148, P107, DOI 10.1016/0022-2836(81)90508-8
BURKILL PH, 1993, DEEP-SEA RES PT II, V40, P773, DOI 10.1016/0967-0645(93)90057-T
Campbell L, 1998, DEEP-SEA RES PT II, V45, P2301, DOI 10.1016/S0967-0645(98)00072-1
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Curtis TP, 2002, P NATL ACAD SCI USA, V99, P10494, DOI 10.1073/pnas.142680199
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Damsté JSS, 2002, APPL ENVIRON MICROB, V68, P2997, DOI 10.1128/AEM.68.6.2997-3002.2002
Ducklow HW, 2001, DEEP-SEA RES PT II, V48, P1303, DOI 10.1016/S0967-0645(00)00140-5
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Glockner FO, 1996, SYST APPL MICROBIOL, V19, P403
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Grégori G, 2001, APPL ENVIRON MICROB, V67, P4662, DOI 10.1128/AEM.67.10.4662-4670.2001
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Hugenholtz P, 2003, INT J SYST EVOL MICR, V53, P289, DOI 10.1099/ijs.0.02441-0
KANE MD, 1993, APPL ENVIRON MICROB, V59, P682, DOI 10.1128/AEM.59.3.682-686.1993
Kelly KM, 2001, FEMS MICROBIOL ECOL, V35, P85, DOI 10.1016/S0168-6496(00)00115-X
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
MESSING J, 1983, METHOD ENZYMOL, V101, P20
Minz D, 1999, APPL ENVIRON MICROB, V65, P4659
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morrison JM, 1999, DEEP-SEA RES PT II, V46, P1903, DOI 10.1016/S0967-0645(99)00048-X
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
MUYZER G, 1995, ARCH MICROBIOL, V164, P165, DOI 10.1007/BF02529967
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
NEEF A, 1997, THESIS TU MUNICH
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pernthaler J, 2003, APPL ENVIRON MICROB, V69, P2631, DOI 10.1128/AEM.69.5.2631-2637.2003
Pomroy A, 1999, DEEP-SEA RES PT II, V46, P767, DOI 10.1016/S0967-0645(98)00127-1
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
RAPPE MS, 1997, LIMNOL OCEANOGR, V45, P841
Riemann L, 1999, DEEP-SEA RES PT II, V46, P1791, DOI 10.1016/S0967-0645(99)00044-2
ROLLER C, 1994, MICROBIOL-UK, V140, P2849, DOI 10.1099/00221287-140-10-2849
Santegoeds CM, 1998, APPL ENVIRON MICROB, V64, P3731
Sarma VVSS, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2001GB001461
Schramm A, 2002, ENVIRON MICROBIOL, V4, P713, DOI 10.1046/j.1462-2920.2002.00364.x
Sekar R, 2004, APPL ENVIRON MICROB, V70, P6210, DOI 10.1128/AEM.70.10.6210-6219.2004
Shalapyonok A, 2001, DEEP-SEA RES PT II, V48, P1231, DOI 10.1016/S0967-0645(00)00137-5
Smith SL, 2001, DEEP-SEA RES PT II, V48, P1385, DOI 10.1016/S0967-0645(00)00144-2
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Tarran GA, 1999, DEEP-SEA RES PT II, V46, P655, DOI 10.1016/S0967-0645(98)00122-2
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wallner G, 1997, APPL ENVIRON MICROB, V63, P4223, DOI 10.1128/AEM.63.11.4223-4231.1997
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Wintzingerode Friedrich V., 1997, FEMS Microbiology Reviews, V21, P213
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 1998, DEEP-SEA RES PT I, V45, P1339, DOI 10.1016/S0967-0637(98)00015-6
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 68
TC 123
Z9 131
PD MAY 30
PY 2005
VL 39
IS 2
BP 145
EP 157
DI 10.3354/ame039145
UT WOS:000229867200004
DA 2025-07-30
ER
PT J
AU Hwang, J
Park, S
Park, M
Lee, S
Jo, Y
Cho, W
Lee, TK
AF Hwang, Jinik
Park, So Yun
Park, Mirye
Lee, Sukchan
Jo, Yeonhwa
Cho, Won Kyong
Lee, Taek-Kyun
TI Metagenomic characterization of viral communities in Goseong Bay, Korea
SO OCEAN SCIENCE JOURNAL
DT Article
AB In this study, seawater samples were collected from Goseong Bay, Korea in March 2014 and viral populations were examined by metagenomics assembly. Enrichment of marine viral particles using FeCl3 followed by next-generation sequencing produced numerous sequences. De novo assembly and BLAST search showed that most of the obtained contigs were unknown sequences and only 0.74% of sequences were associated with known viruses. As a result, 138 viruses, including bacteriophages (87%), viruses infecting algae and others (13%) were identified. The identified 138 viruses were divided into 11 orders, 14 families, 34 genera, and 133 species. The dominant viruses were Pelagibacter phage HTVC010P and Roseobacter phage SIO1. The viruses infecting algae, including the Ostreococcus species, accounted for 9.4% of total identified viruses. In addition, we identified pathogenic herpes viruses infecting fishes and giant viruses infecting parasitic acanthamoeba species. This is a comprehensive study to reveal the viral populations in the Goseong Bay using metagenomics. The information associated with the marine viral community in Goseong Bay, Korea will be useful for comparative analysis in other marine viral communities.
C1 [Hwang, Jinik; Park, So Yun; Park, Mirye; Lee, Taek-Kyun] KIOST, South Sea Res Inst, South Sea Environm Res Ctr, Geoje 53201, South Korea.
[Hwang, Jinik; Park, Mirye; Lee, Taek-Kyun] Korea Univ Sci & Technol, Marine Environm Sci, Daejeon 34113, South Korea.
[Lee, Sukchan] Sungkyunkwan Univ, Coll Biotechnol & Bioengn, Dept Genet Engn, Suwon 16419, South Korea.
[Jo, Yeonhwa; Cho, Won Kyong] Seoul Natl Univ, Coll Agr & Life Sci, Dept Agr Biotechnol, Seoul 08826, South Korea.
RP Lee, TK (corresponding author), KIOST, South Sea Res Inst, South Sea Environm Res Ctr, Geoje 53201, South Korea.; Lee, TK (corresponding author), Korea Univ Sci & Technol, Marine Environm Sci, Daejeon 34113, South Korea.
EM tklee@kiost.ac.kr
CR Angly F, 2009, ENVIRON MICROBIOL, V11, P2863, DOI 10.1111/j.1462-2920.2009.02021.x
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Behrenfeld MJ, 2006, NATURE, V444, P752, DOI 10.1038/nature05317
Bench SR, 2007, APPL ENVIRON MICROB, V73, P7629, DOI 10.1128/AEM.00938-07
BERGH O, 1989, NATURE, V340, P467, DOI 10.1038/340467a0
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
CHRETIENNOTDINET MJ, 1995, PHYCOLOGIA, V34, P285, DOI 10.2216/i0031-8884-34-4-285.1
Danovaro R, 2001, APPL ENVIRON MICROB, V67, P1384, DOI 10.1128/AEM.67.3.1384-1387.2001
Derelle E, 2015, J VIROL, V89, P5812, DOI 10.1128/JVI.00246-15
Dyková I, 1999, J PARASITOL, V85, P1106, DOI 10.2307/3285675
Grabherr MG, 2011, NAT BIOTECHNOL, V29, P644, DOI 10.1038/nbt.1883
Hanson L, 2011, VIRUSES-BASEL, V3, P2160, DOI 10.3390/v3112160
Harvell CD, 1999, SCIENCE, V285, P1505, DOI 10.1126/science.285.5433.1505
Henderson GP, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000749
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Jeanniard A, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-158
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kim KH, 2011, APPL ENVIRON MICROB, V77, P7663, DOI 10.1128/AEM.00289-11
Kim Min-Soo, 2013, Genomics & Informatics, V11, P121, DOI 10.5808/GI.2013.11.3.121
Kristensen DM, 2010, TRENDS MICROBIOL, V18, P11, DOI 10.1016/j.tim.2009.11.003
Legendre Matthieu, 2012, Commun Integr Biol, V5, P102
Liu Hua, 2006, Korean Journal of Parasitology, V44, P117, DOI 10.3347/kjp.2006.44.2.117
Milne I, 2010, BIOINFORMATICS, V26, P401, DOI 10.1093/bioinformatics/btp666
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Ng TFF, 2009, J VIROL, V83, P2500, DOI 10.1128/JVI.01946-08
Palenik B, 2007, P NATL ACAD SCI USA, V104, P7705, DOI 10.1073/pnas.0611046104
Park Y, 2011, VIRUS RES, V159, P43, DOI 10.1016/j.virusres.2011.04.024
Rodríguez F, 2005, ENVIRON MICROBIOL, V7, P853, DOI 10.1111/j.1462-2920.2005.00758.x
Slightom RN, 2009, APPL ENVIRON MICROB, V75, P6027, DOI 10.1128/AEM.01508-09
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thomas V, 2011, ENVIRON MICROBIOL, V13, P1454, DOI 10.1111/j.1462-2920.2011.02446.x
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Weynberg KD, 2009, ENVIRON MICROBIOL, V11, P2821, DOI 10.1111/j.1462-2920.2009.01991.x
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhu BT, 2005, WATER RES, V39, P5153, DOI 10.1016/j.watres.2005.09.035
NR 39
TC 8
Z9 8
PD DEC
PY 2016
VL 51
IS 4
BP 599
EP 612
DI 10.1007/s12601-016-0051-7
UT WOS:000391426800006
DA 2025-07-30
ER
PT J
AU Sebastián, M
Gasol, JM
AF Sebastian, Marta
Gasol, Josep M.
TI Heterogeneity in the nutrient limitation of different bacterioplankton
groups in the Eastern Mediterranean Sea
SO ISME JOURNAL
DT Article
AB The heterotrophic bacterial community of the Eastern Mediterranean Sea is believed to be limited by phosphorus (P) availability. This observation assumes that all bacterial groups are equally limited, something that has not been hitherto examined. To test this hypothesis, we performed nutrient addition experiments and investigated the response of probe-identified groups using microautoradiography combined with catalyzed reporter deposition fluorescence in situ hybridization. Our results show contrasting responses between the bacterial groups, with Gammaproteobacteria being the group more affected by P availability. The Roseobacter clade was likely colimited by P and nitrogen (N), whereas Bacteroidetes by P, N and organic carbon (C). In contrast, SAR11 cells were active regardless of the nutrient concentration. These results indicate that there is high heterogeneity in the nutrient limitation of the different components of the bacterioplankton community.
C1 [Sebastian, Marta; Gasol, Josep M.] CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, E-08003 Barcelona, Catalunya, Spain.
RP Sebastián, M (corresponding author), CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, Pg Maritim Barceloneta 37-49, E-08003 Barcelona, Catalunya, Spain.
EM msebastian@icm.csic.es
CR Alonso-Sáez L, 2012, LIMNOL OCEANOGR, V57, P798, DOI 10.4319/lo.2012.57.3.0798
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caron DA, 2000, AQUAT MICROB ECOL, V22, P175, DOI 10.3354/ame022175
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Musat N, 2008, P NATL ACAD SCI USA, V105, P17861, DOI 10.1073/pnas.0809329105
Nielsen JL, 2003, ENVIRON MICROBIOL, V5, P202, DOI 10.1046/j.1462-2920.2003.00402.x
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Saito MA, 2008, LIMNOL OCEANOGR, V53, P276, DOI 10.4319/lo.2008.53.1.0276
Sebastián M, 2012, ENVIRON MICROBIOL, V14, P2334, DOI 10.1111/j.1462-2920.2012.02772.x
Tanaka T, 2007, DEEP-SEA RES PT I, V54, P1721, DOI 10.1016/j.dsr.2007.06.008
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
NR 18
TC 23
Z9 24
PD AUG
PY 2013
VL 7
IS 8
BP 1665
EP 1668
DI 10.1038/ismej.2013.42
UT WOS:000322119600019
DA 2025-07-30
ER
PT J
AU Crump, BC
Armbrust, EV
Baross, JA
AF Crump, BC
Armbrust, EV
Baross, JA
TI Phylogenetic analysis of particle-attached and free-living bacterial
communities in the Columbia river, its estuary, and the adjacent coastal
ocean
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The Columbia River estuary is a dynamic system in which estuarine turbidity maxims trap and extend the residence time of particles and particle-attached bacteria over those of the water and free-living bacteria. Particle-attached bacteria dominate bacterial activity in the estuary and are an important part of the estuarine food web. PCR-amplified 16S rRNA genes from particle-attached and free-living bacteria in the Columbia River, its estuary, and the adjacent coastal ocean were cloned, and 239 partial sequences were determined. A wide diversity was observed at the species level within at least six different bacterial phyla, including most subphyla of the class Proteobacteria. In the estuary, most particle-attached bacterial clones (75%) were related to members of the genus Cytophaga or of the alpha, gamma, or beta subclass of the class Proteobacteria. These same clones, however, were rare in or absent from either the particle-attached or the free-living bacterial communities of the river and the coastal ocean. In contrast, about half (48%) of the free-living estuarine bacterial clones were similar to clones from the river or the coastal ocean. These free-living bacteria were related to groups of cosmopolitan freshwater bacteria (beta-proteobacteria, gram-positive bacteria, and Verrucomicrobium spp,) and groups of marine organisms (gram-positive bacteria and alpha-proteobacteria [SAR11 and Rhodobacter spp.]). These results suggest that rapidly growing particle-attached bacteria develop into a uniquely adapted estuarine community and that free-living estuarine bacteria are similar to members of the river and the coastal ocean microbial communities. The high degree of diversity in the estuary is the result of the mixing of bacterial communities from the river, estuary, and coastal ocean.
C1 Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
RP Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
EM bcrump@u.washington.edu
CR ABEE T, 1990, J BACTERIOL, V172, P149, DOI 10.1128/JB.172.1.149-154.1990
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
BAROSS JA, 1994, CHANGES IN FLUXES IN ESTUARIES: IMPLICATIONS FROM SCIENCE TO MANAGEMENT, P459
BERNER EK, 1996, GLOBAL ENV WATER AIR, P284
Crump BC, 1996, MAR ECOL PROG SER, V138, P265, DOI 10.3354/meps138265
Crump BC, 1998, AQUAT MICROB ECOL, V14, P7, DOI 10.3354/ame014007
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Felske A, 1998, APPL ENVIRON MICROB, V64, P871
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GAUTHIER MJ, 1992, INT J SYST BACTERIOL, V42, P568, DOI 10.1099/00207713-42-4-568
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Gonzalez JM, 1997, INT J SYST BACTERIOL, V47, P773, DOI 10.1099/00207713-47-3-773
Hansen MC, 1998, FEMS MICROBIOL ECOL, V26, P141, DOI 10.1111/j.1574-6941.1998.tb00500.x
HANSEN TA, 1985, INT J SYST BACTERIOL, V35, P115, DOI 10.1099/00207713-35-1-115
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
HIRAISHI A, 1994, INT J SYST BACTERIOL, V44, P15, DOI 10.1099/00207713-44-1-15
Hugenholtz P, 1998, J BACTERIOL, V180, P366, DOI 10.1128/JB.180.2.366-376.1998
IGENO MI, 1995, APPL ENVIRON MICROB, V61, P2970, DOI 10.1128/AEM.61.8.2970-2975.1995
Imhoff J. F., 1988, HALOPHILIC BACTERIA, P85
KOPCZYNSKI ED, 1994, APPL ENVIRON MICROB, V60, P746, DOI 10.1128/AEM.60.2.746-748.1994
KRIEG NR, 1984, BERGEYS MANUAL SYSTE, V1, P104
LIESACK W, 1992, J BACTERIOL, V174, P5072, DOI 10.1128/JB.174.15.5072-5078.1992
Maidak BL, 1997, NUCLEIC ACIDS RES, V25, P109, DOI 10.1093/nar/25.1.109
Methe BA, 1998, LIMNOL OCEANOGR, V43, P368, DOI 10.4319/lo.1998.43.2.0368
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Munson MA, 1997, APPL ENVIRON MICROB, V63, P4729, DOI 10.1128/AEM.63.12.4729-4733.1997
Neal V. T., 1972, COLUMBIA RIVER ESTUA
Nold Stephen C., 1998, Aquatic Ecology, V32, P17, DOI 10.1023/A:1009991918036
Pedersen K, 1996, MOL ECOL, V5, P427, DOI 10.1111/j.1365-294X.1996.tb00332.x
Prahl FG, 1997, MAR ECOL PROG SER, V160, P173, DOI 10.3354/meps160173
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
REED D, COMMUNICATION
Reichenbach H, 1989, BERGEYS MANUAL SYSTE, V3, P2015
SIMENSTAD CA, 1994, CHANGES IN FLUXES IN ESTUARIES: IMPLICATIONS FROM SCIENCE TO MANAGEMENT, P473
SIMENSTAD CA, 1990, PROG OCEANOGR, V25, P1, DOI 10.1016/0079-6611(90)90002-J
SMALL LF, 1990, PROG OCEANOGR, V25, P175, DOI 10.1016/0079-6611(90)90007-O
STACKEBRANDT E, 1993, FASEB J, V7, P232, DOI 10.1096/fasebj.7.1.8422969
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Tanner MA, 1998, APPL ENVIRON MICROB, V64, P3110
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
Wilson KH, 1996, APPL ENVIRON MICROB, V62, P2273, DOI 10.1128/AEM.62.7.2273-2278.1996
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
Zwart G, 1998, FEMS MICROBIOL ECOL, V25, P159, DOI 10.1016/S0168-6496(97)00092-5
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 48
TC 570
Z9 605
PD JUL
PY 1999
VL 65
IS 7
BP 3192
EP 3204
UT WOS:000081199000054
DA 2025-07-30
ER
PT J
AU Mir, DH
Rather, MA
AF Mir, D. H.
Rather, M. A.
TI Advantages and Limitations of the Biofilm Study Methods
SO APPLIED BIOCHEMISTRY AND MICROBIOLOGY
DT Article
AB A community of microorganisms adhered to a solid surface and entrapped in a self-produced extracellular polymeric matrix, in general is referred to as a 'biofilm'. Biofilm formation is a phenomenon naturally exhibited by the majority of microorganisms, (except a few like Pelagibacter and some planktonic bacteria). The trait of biofilm formation by the microorganisms allows them to survive in harsh environments, important for their existence and sustenance. To form biofilms, microorganisms possess a supportive genetic makeup, which enables them to function and grow in a coordinated manner. Surprisingly at present, there is a lack of proper consensus regarding the utilization of technique and methodologies available in the precise analysis, growth and characterization of biofilms. The current review aims to bridge this gap by presenting a detailed review of the available study methods and tools the most promising in the detection, growth and characterization of biofilms. The selection of the most appropriate biofilm study and analysis method in a given situation is of utmost importance in order to understand the formation and prospective fruitful utilization of biofilms by humankind.
C1 [Mir, D. H.; Rather, M. A.] Natl Inst Technol Srinagar, Chem Engn Dept, Srinagar, Jammu And Kashm, India.
RP Mir, DH (corresponding author), Natl Inst Technol Srinagar, Chem Engn Dept, Srinagar, Jammu And Kashm, India.
EM dabeer_03phd19@nitsri.ac.in
CR Abu Bakar M., 2014, J. Inflamm. Res, V18, P3720
Alhede M, 2012, FEMS IMMUNOL MED MIC, V65, P335, DOI 10.1111/j.1574-695X.2012.00956.x
Allkja J., 2022, Multispecies Biofilms, V19, P35, DOI [10.1007/978-3-031-15349-5_2, DOI 10.1007/978-3-031-15349-5_2]
Rey MDA, 2022, J FOOD SCI, V87, P2324, DOI 10.1111/1750-3841.16179
Azeredo J, 2017, CRIT REV MICROBIOL, V43, P313, DOI 10.1080/1040841X.2016.1208146
Barbu S., 2004, Biol. Syst, V1, P143, DOI [10.1201/9780203500224, DOI 10.1201/9780203500224]
Beaussart A, 2014, NAT PROTOC, V9, P1049, DOI 10.1038/nprot.2014.066
Black S, 2021, NAT PROTOC, V16, P3802, DOI 10.1038/s41596-021-00556-8
Bleck CKE, 2010, J MICROSC-OXFORD, V237, P23, DOI 10.1111/j.1365-2818.2009.03299.x
Bossù M, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8060807
Boudet A, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.750489
Bowen WH, 2018, TRENDS MICROBIOL, V26, P229, DOI 10.1016/j.tim.2017.09.008
Boyd CD, 2014, J BACTERIOL, V196, P2775, DOI 10.1128/JB.01629-14
Bridier A, 2010, J MICROBIOL METH, V82, P64, DOI 10.1016/j.mimet.2010.04.006
Bridier A, 2014, BIOFOULING, V30, P761, DOI 10.1080/08927014.2014.923409
Browne DJ, 2022, FRONT IMMUNOL, V13, DOI 10.3389/fimmu.2022.962220
Carini P, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2016.242
Ceresa C, 2015, J APPL MICROBIOL, V118, P1116, DOI 10.1111/jam.12760
Chang Q, 2017, CYTOM PART A, V91A, P160, DOI 10.1002/cyto.a.23053
Coenye T, 2003, FEMS MICROBIOL LETT, V228, P45, DOI 10.1016/S0378-1097(03)00717-1
COSTERTON JW, 1978, SCI AM, V238, P86, DOI 10.1038/scientificamerican0178-86
Crivello G, 2023, NANOMATERIALS-BASEL, V13, DOI 10.3390/nano13050904
de Carvalho CCCR, 2007, BIOTECHNIQUES, V42, P616, DOI 10.2144/000112403
Deshmukh RA, 2016, MICROBIOLOGYOPEN, V5, P901, DOI 10.1002/mbo3.383
Djordjevic D, 2002, APPL ENVIRON MICROB, V68, P2950, DOI 10.1128/AEM.68.6.2950-2958.2002
Dominguez-Benetton X, 2012, CHEM SOC REV, V41, P7228, DOI 10.1039/c2cs35026b
Dong DY, 2022, CHEMOSPHERE, V303, DOI 10.1016/j.chemosphere.2022.135019
Doroshenko N, 2014, ANTIMICROB AGENTS CH, V58, P7273, DOI 10.1128/AAC.03132-14
Dufrêne YF, 2020, NAT REV MICROBIOL, V18, P227, DOI 10.1038/s41579-019-0314-2
Elias S, 2012, FEMS MICROBIOL REV, V36, P990, DOI 10.1111/j.1574-6976.2012.00325.x
Finnin MS, 1999, NATURE, V401, P188, DOI 10.1038/43710
FLETCHER M, 1977, CAN J MICROBIOL, V23, P1, DOI 10.1139/m77-001
Forrest GN, 2007, EXPERT REV MOL DIAGN, V7, P231, DOI 10.1586/14737159.7.3.231
Funari R, 2022, ACS SENSORS, V7, P347, DOI 10.1021/acssensors.1c02722
Gabrilska RA, 2015, FUTURE MICROBIOL, V10, P1997, DOI 10.2217/fmb.15.109
Garcez AS, 2013, PHOTOMED LASER SURG, V31, P519, DOI 10.1089/pho.2012.3341
Goeres DM, 2009, NAT PROTOC, V4, P783, DOI 10.1038/nprot.2009.59
Golpayegani A, 2019, J ENVIRON HEALTH SCI, V17, P407, DOI 10.1007/s40201-019-00359-w
Gomes L.C., 2022, Urinary Stents, V31, P225, DOI [10.1007/978-3-031-04484-7_19, DOI 10.1007/978-3-031-04484-7_19]
Guilbaud M, 2015, APPL ENVIRON MICROB, V81, P1804, DOI 10.1128/AEM.03173-14
Gut G, 2018, SCIENCE, V361, DOI 10.1126/science.aar7042
Hassanzadeh R, 2022, J ELECTROANAL CHEM, V924, DOI 10.1016/j.jelechem.2022.116821
Hong SD, 2014, CLIN EXP OTORHINOLAR, V7, P193, DOI 10.3342/ceo.2014.7.3.193
House KL, 2022, EUR J ORAL SCI, V130, DOI 10.1111/eos.12853
Hrdlickova R, 2017, WIRES RNA, V8, DOI 10.1002/wrna.1364
Hrubanova K, 2018, MICRON, V110, P28, DOI 10.1016/j.micron.2018.04.006
Huang WE, 2007, ENVIRON MICROBIOL, V9, P1878, DOI 10.1111/j.1462-2920.2007.01352.x
Huang YT, 2020, ANAL METHODS-UK, V12, P416, DOI [10.1039/c9ay02214g, 10.1039/C9AY02214G]
Jefcoate CR, 2018, J MOL ENDOCRINOL, V60, pR213, DOI 10.1530/JME-17-0281
Karcz J, 2012, SCANNING, V34, P26, DOI 10.1002/sca.20275
Kazemi K., 2022, J.Nanobiotechnology, V3, P8
Kim U, 2023, FOOD SCI BIOTECHNOL, V32, P1665, DOI 10.1007/s10068-023-01317-x
Klausen M, 2003, MOL MICROBIOL, V48, P1511, DOI 10.1046/j.1365-2958.2003.03525.x
Koo H, 2016, CURR OPIN CELL BIOL, V42, P102, DOI 10.1016/j.ceb.2016.05.005
Körstgens V, 2001, J MICROBIOL METH, V46, P9, DOI 10.1016/S0167-7012(01)00248-2
Kreth J, 2023, FEMS MICROBIOL REV, V47, DOI 10.1093/femsre/fuac052
Kubota K, 2013, MICROBES ENVIRON, V28, P3, DOI 10.1264/jsme2.ME12107
Kulisová M, 2023, J MICROBIOL METH, V205, DOI 10.1016/j.mimet.2023.106676
Lee JH, 2015, NAT PROTOC, V10, DOI 10.1038/nprot.2014.191
Li L, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00258
Lim J, 2011, J NANOSCI NANOTECHNO, V11, P5676, DOI 10.1166/jnn.2011.4491
Luo TL, 2022, J APPL MICROBIOL, V132, P855, DOI 10.1111/jam.15200
Lv XC, 2016, FOOD CONTROL, V66, P69, DOI 10.1016/j.foodcont.2016.01.040
Mart'yanov SV, 2022, COATINGS, V12, DOI 10.3390/coatings12121923
Mehta N., 2022, J. Nat. Sci, V6, P1, DOI [10.26685/urncst.403, DOI 10.26685/URNCST.403]
Mlynáriková K, 2016, FOLIA MICROBIOL, V61, P465, DOI 10.1007/s12223-016-0458-7
Nandakumar K, 2004, BIOTECHNOL BIOENG, V86, P729, DOI 10.1002/bit.10829
Nersisya S, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21041228
Nishitani K, 2015, J ORTHOP RES, V33, P1311, DOI 10.1002/jor.22907
Novais A, 2019, EUR J CLIN MICROBIOL, V38, P427, DOI 10.1007/s10096-018-3431-3
Oliveira F, 2015, FEMS MICROBIOL LETT, V362, DOI 10.1093/femsle/fnv175
Olsen I, 2016, J ORAL MICROBIOL, V8, DOI 10.3402/jom.v8.30936
Otto A, 2012, CURR OPIN MICROBIOL, V15, P364, DOI 10.1016/j.mib.2012.02.005
Pandey RP, 2022, ANTIBIOTICS-BASEL, V11, DOI 10.3390/antibiotics11040476
Perozo E, 2002, NAT STRUCT BIOL, V9, P696, DOI 10.1038/nsb827
Pineda J, 2000, BIOPROCESS ENG, V23, P479, DOI 10.1007/s004499900181
Prado MM, 2022, ADV EXP MED BIOL, V1373, P159, DOI 10.1007/978-3-030-96881-6_8
Qin ZQ, 2009, ULTRAMICROSCOPY, V109, P881, DOI 10.1016/j.ultramic.2009.03.040
Qiu DY, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19928-x
Ram S, 2021, J IMMUNOTHER CANCER, V9, pA61, DOI 10.1136/jitc-2021-SITC2021.054
Reiferth VM, 2022, ENG LIFE SCI, V22, P796, DOI 10.1002/elsc.202100076
Richardson N, 2009, INT ENDOD J, V42, P908, DOI 10.1111/j.1365-2591.2009.01594.x
Roy R, 2018, VIRULENCE, V9, P522, DOI 10.1080/21505594.2017.1313372
Sabaeifard P, 2014, J MICROBIOL METH, V105, P134, DOI 10.1016/j.mimet.2014.07.024
Silva NBS, 2021, J APPL MICROBIOL, V131, P2148, DOI 10.1111/jam.15049
Singhal N, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00791
Sousa V, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms231710033
Sportelli MC, 2022, ANAL CHIM ACTA, V1195, DOI 10.1016/j.aca.2022.339433
Stevens KA, 2004, CRIT REV MICROBIOL, V30, P7, DOI 10.1080/10408410490266410
Stickels RR, 2021, NAT BIOTECHNOL, V39, P313, DOI 10.1038/s41587-020-0739-1
Stoecker K, 2010, APPL ENVIRON MICROB, V76, P922, DOI 10.1128/AEM.02456-09
Sun LM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0117695
Sun XL, 2023, SCI TOTAL ENVIRON, V863, DOI 10.1016/j.scitotenv.2022.160953
Tarafdar A, 2021, J HAZARD MATER, V409, DOI 10.1016/j.jhazmat.2020.124516
Thornton RB, 2011, BMC PEDIATR, V11, DOI 10.1186/1471-2431-11-94
Timp W, 2008, METHOD CELL BIOL, V89, P391, DOI 10.1016/S0091-679X(08)00614-6
Villacorte LO, 2015, WATER RES, V73, P216, DOI 10.1016/j.watres.2015.01.028
Volpi EV, 2008, BIOTECHNIQUES, V45, P385, DOI 10.2144/000112811
Wang GP, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22297-7
Wang JF, 2018, CHEM ENG J, V334, P2134, DOI 10.1016/j.cej.2017.11.043
Wenning M, 2013, APPL MICROBIOL BIOT, V97, P7111, DOI 10.1007/s00253-013-5087-3
Wilson C., 2017, RES REV J ENG TECHNO, V6, P1
Wong JWH, 2010, METHODS MOL BIOL, V604, P273, DOI 10.1007/978-1-60761-444-9_18
Zeng GH, 2014, LANGMUIR, V30, P4019, DOI 10.1021/la404673q
Zhang YN, 2022, J APPL MICROBIOL, V133, P1273, DOI 10.1111/jam.15640
Zhao YH, 2018, SCI TOTAL ENVIRON, V613, P1430, DOI 10.1016/j.scitotenv.2017.06.117
Zollinger DR, 2020, METHODS MOL BIOL, V2148, P331, DOI 10.1007/978-1-0716-0623-0_21
NR 107
TC 1
Z9 1
PD APR
PY 2024
VL 60
IS 2
BP 264
EP 279
DI 10.1134/S000368382402011X
UT WOS:001206575700003
DA 2025-07-30
ER
PT J
AU Hatosy, SM
Martiny, AC
AF Hatosy, Stephen M.
Martiny, Adam C.
TI The Ocean as a Global Reservoir of Antibiotic Resistance Genes
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Recent studies of natural environments have revealed vast genetic reservoirs of antibiotic resistance (AR) genes. Soil bacteria and human pathogens share AR genes, and AR genes have been discovered in a variety of habitats. However, there is little knowledge about the presence and diversity of AR genes in marine environments and which organisms host AR genes. To address this, we identified the diversity of genes conferring resistance to ampicillin, tetracycline, nitrofurantoin, and sulfadimethoxine in diverse marine environments using functional metagenomics (the cloning and screening of random DNA fragments). Marine environments were host to a diversity of AR-conferring genes. Antibiotic-resistant clones were found at all sites, with 28% of the genes identified as known AR genes (encoding beta-lactamases, bicyclomycin resistance pumps, etc.). However, the majority of AR genes were not previously classified as such but had products similar to proteins such as transport pumps, oxidoreductases, and hydrolases. Furthermore, 44% of the genes conferring antibiotic resistance were found in abundant marine taxa (e.g., Pelagibacter, Prochlorococcus, and Vibrio). Therefore, we uncovered a previously unknown diversity of genes that conferred an AR phenotype among marine environments, which makes the ocean a global reservoir of both clinically relevant and potentially novel AR genes.
C1 [Hatosy, Stephen M.; Martiny, Adam C.] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92717 USA.
[Martiny, Adam C.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA.
RP Martiny, AC (corresponding author), Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92717 USA.
EM amartiny@uci.edu
CR Allen HK, 2009, ISME J, V3, P243, DOI 10.1038/ismej.2008.86
Allison SD, 2005, ECOL LETT, V8, P626, DOI 10.1111/j.1461-0248.2005.00756.x
Alonso A, 2001, ENVIRON MICROBIOL, V3, P1, DOI 10.1046/j.1462-2920.2001.00161.x
Baker-Austin C, 2009, MICROB ECOL, V57, P151, DOI 10.1007/s00248-008-9413-8
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Buschmann AH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042724
Cordero OX, 2012, SCIENCE, V337, P1228, DOI 10.1126/science.1219385
D'Costa VM, 2011, NATURE, V477, P457, DOI 10.1038/nature10388
Dang H, 2007, J APPL MICROBIOL, V103, P2580, DOI 10.1111/j.1365-2672.2007.03494.x
De Souza MJ, 2006, ECOTOXICOLOGY, V15, P379, DOI 10.1007/s10646-006-0068-2
Forsberg KJ, 2012, SCIENCE, V337, P1107, DOI 10.1126/science.1220761
Foti M, 2009, MAR POLLUT BULL, V58, P1363, DOI 10.1016/j.marpolbul.2009.04.020
Gibson MK, 2015, ISME J, V9, P207, DOI 10.1038/ismej.2014.106
Liu B, 2009, NUCLEIC ACIDS RES, V37, pD443, DOI 10.1093/nar/gkn656
Long RA, 2001, APPL ENVIRON MICROB, V67, P4975, DOI 10.1128/AEM.67.11.4975-4983.2001
Lutz R, 1997, NUCLEIC ACIDS RES, V25, P1203, DOI 10.1093/nar/25.6.1203
Martínez JL, 2008, SCIENCE, V321, P365, DOI 10.1126/science.1159483
Martinez JL, 2009, FEMS MICROBIOL REV, V33, P430, DOI 10.1111/j.1574-6976.2008.00157.x
Martiny AC, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00238
Miller RV, 2009, CAN J MICROBIOL, V55, P37, DOI 10.1139/W08-119
Oksanen A., 2013, vegan: Community Ecology Package
Pignatelli M, 2009, ENV MICROBIOL REP, V1, P191, DOI 10.1111/j.1758-2229.2009.00030.x
Pike R, 2002, J ANTIMICROB CHEMOTH, V49, P777, DOI 10.1093/jac/dkf019
Port JA, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0048000
R Development Core Team, 2013, R: A language and environment for statistical computing
Riesenfeld CS, 2004, ENVIRON MICROBIOL, V6, P981, DOI 10.1111/j.1462-2920.2004.00664.x
Rodríguez-Verdugo A, 2013, BMC EVOL BIOL, V13, DOI 10.1186/1471-2148-13-50
Segawa T, 2013, ENV MICROBIOL REP, V5, P127, DOI 10.1111/1758-2229.12011
Sher D, 2011, ISME J, V5, P1125, DOI 10.1038/ISMEJ.2011.1
Sommer MOA, 2009, SCIENCE, V325, P1128, DOI 10.1126/science.1176950
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Zhao JY, 2012, MICROB ECOL, V64, P187, DOI 10.1007/s00248-012-0008-z
NR 32
TC 170
Z9 197
PD NOV
PY 2015
VL 81
IS 21
BP 7593
EP 7599
DI 10.1128/AEM.00736-15
UT WOS:000363462900025
DA 2025-07-30
ER
PT J
AU Ghuneim, LAJ
Jones, DL
Golyshin, PN
Golyshina, OV
AF Ghuneim, Lydia-Ann J.
Jones, David L.
Golyshin, Peter N.
Golyshina, Olga V.
TI Nano-Sized and Filterable Bacteria and Archaea: Biodiversity and
Function
SO FRONTIERS IN MICROBIOLOGY
DT Review
AB Nano-sized and filterable microorganisms are thought to represent the smallest living organisms on earth and are characterized by their small size (50-400 nm) and their ability to physically pass through <0.45 mu m pore size filters. They appear to be ubiquitous in the biosphere and are present at high abundance across a diverse range of habitats including oceans, rivers, soils, and subterranean bedrock. Small-sized organisms are detected by culture-independent and culture-dependent approaches, with most remaining uncultured and uncharacterized at both metabolic and taxonomic levels. Consequently, their significance in ecological roles remain largely unknown. Successful isolation, however, has been achieved for some species (e.g., Nanoarchaeum equitans and "Candidatus Pelagibacter ubique"). In many instances, small-sized organisms exhibit a significant genome reduction and loss of essential metabolic pathways required for a free-living lifestyle, making their survival reliant on other microbial community members. In these cases, the nano-sized prokaryotes can only be co-cultured with their 'hosts.' This paper analyses the recent data on small-sized microorganisms in the context of their taxonomic diversity and potential functions in the environment.
C1 [Ghuneim, Lydia-Ann J.; Jones, David L.] Bangor Univ, Sch Environm Nat Resources & Geog, Bangor, Gwynedd, Wales.
[Golyshin, Peter N.; Golyshina, Olga V.] Bangor Univ, Sch Biol Sci, Bangor, Gwynedd, Wales.
RP Ghuneim, LAJ (corresponding author), Bangor Univ, Sch Environm Nat Resources & Geog, Bangor, Gwynedd, Wales.
EM afp68e@bangor.ac.uk
CR Albertsen M, 2013, NAT BIOTECHNOL, V31, P533, DOI 10.1038/nbt.2579
[Anonymous], 2016, GENOME ANNOUNC
[Anonymous], PROKARYOTES
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Baker BJ, 2003, FEMS MICROBIOL ECOL, V44, P139, DOI 10.1016/S0168-6496(03)00028-X
Baker BJ, 2006, SCIENCE, V314, P1933, DOI 10.1126/science.1132690
Baker BJ, 2010, P NATL ACAD SCI USA, V107, P8806, DOI 10.1073/pnas.0914470107
Beman JM, 2005, NATURE, V434, P211, DOI 10.1038/nature03370
Brailsford FL, 2017, SCI TOTAL ENVIRON, V598, P377, DOI 10.1016/j.scitotenv.2017.04.049
Button DK, 1998, APPL ENVIRON MICROB, V64, P4467
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cesar S, 2017, FEMS MICROBIOL REV, V41, P672, DOI 10.1093/femsre/fux026
Chien AC, 2012, CURR BIOL, V22, pR340, DOI 10.1016/j.cub.2012.02.032
Cisar JO, 2000, P NATL ACAD SCI USA, V97, P11511, DOI 10.1073/pnas.97.21.11511
Comolli LR, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00367
Comolli LR, 2009, ISME J, V3, P159, DOI 10.1038/ismej.2008.99
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
Dobrovol'skaya TG, 2015, EURASIAN SOIL SCI+, V48, P959, DOI 10.1134/S1064229315090033
Duda VI, 2012, MICROBIOLOGY+, V81, P379, DOI 10.1134/S0026261712040054
Fedotova AV, 2012, MICROBIOLOGY+, V81, P281, DOI 10.1134/S002626171203006X
FENCHEL T, 1982, MAR ECOL PROG SER, V8, P211, DOI 10.3354/meps008211
Garza DR, 2015, CELL MOL LIFE SCI, V72, P4287, DOI 10.1007/s00018-015-2004-1
Gasol JM, 1999, AQUAT MICROB ECOL, V16, P251, DOI 10.3354/ame016251
Giannone RJ, 2015, ISME J, V9, P101, DOI 10.1038/ismej.2014.112
Gibson EK, 2001, PRECAMBRIAN RES, V106, P15, DOI 10.1016/S0301-9268(00)00122-4
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Glaubitz S, 2013, APPL ENVIRON MICROB, V79, P2767, DOI 10.1128/AEM.03777-12
Glissmann K, 2004, MICROB ECOL, V48, P389, DOI 10.1007/s00248-003-2027-2
Golyshina OV, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00104-7
Golyshina OV, 2016, INT J SYST EVOL MICR, V66, P332, DOI 10.1099/ijsem.0.000725
Hahn MW, 2003, APPL ENVIRON MICROB, V69, P1442, DOI 10.1128/AEM.69.3.1442-1451.2003
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
He XS, 2015, P NATL ACAD SCI USA, V112, P244, DOI 10.1073/pnas.1419038112
Hodson A, 2008, ECOL MONOGR, V78, P41, DOI 10.1890/07-0187.1
Huber H, 2002, NATURE, V417, P63, DOI 10.1038/417063a
Ishoey T, 2008, CURR OPIN MICROBIOL, V11, P198, DOI 10.1016/j.mib.2008.05.006
Jahn U, 2008, J BACTERIOL, V190, P1743, DOI 10.1128/JB.01731-07
Johnson KS, 1997, MAR CHEM, V57, P137, DOI 10.1016/S0304-4203(97)00043-1
Kajander EO, 2003, UROL RES, V31, P47, DOI 10.1007/s002440-003-0304-7
Kajander EO, 1998, P NATL ACAD SCI USA, V95, P8274, DOI 10.1073/pnas.95.14.8274
Kantor RS, 2013, MBIO, V4, DOI 10.1128/mBio.00708-13
Krogh A, 2001, J MOL BIOL, V305, P567, DOI 10.1006/jmbi.2000.4315
Kuczynski J, 2010, NAT METHODS, V7, P813, DOI [10.1038/NMETH.1499, 10.1038/nmeth.1499]
Leiman PG, 2003, CELL MOL LIFE SCI, V60, P2356, DOI 10.1007/s00018-003-3072-1
Lever MA, 2015, FEMS MICROBIOL REV, V39, P688, DOI 10.1093/femsre/fuv020
Luef B, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7372
Lysak LV, 2013, EURASIAN SOIL SCI+, V46, P668, DOI 10.1134/S1064229313060069
Martínez-Cano DJ, 2015, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00742
McCutcheon JP, 2012, NAT REV MICROBIOL, V10, P13, DOI 10.1038/nrmicro2670
McKay DS, 1996, SCIENCE, V273, P924, DOI 10.1126/science.273.5277.924
Miteva Vanya, 2008, P31, DOI 10.1007/978-3-540-74335-4_3
Miteva VI, 2005, APPL ENVIRON MICROB, V71, P7806, DOI 10.1128/AEM.71.12.7806-7818.2005
Möller S, 2001, BIOINFORMATICS, V17, P646, DOI 10.1093/bioinformatics/17.7.646
Monier JM, 2003, PHYTOPATHOLOGY, V93, P1209, DOI 10.1094/PHYTO.2003.93.10.1209
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Munson-McGee JH, 2015, APPL ENVIRON MICROB, V81, P7860, DOI 10.1128/AEM.01539-15
Mushegian AR, 1996, P NATL ACAD SCI USA, V93, P10268, DOI 10.1073/pnas.93.19.10268
Nagy I, 2016, FEMS MICROBIOL LETT, V363, DOI 10.1093/femsle/fnw169
Nakai R, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.00616-16
Narasingarao P, 2012, ISME J, V6, P81, DOI 10.1038/ismej.2011.78
Neuenschwander SM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00247
OPPENHEIMER CH, 1952, J BACTERIOL, V64, P783, DOI 10.1128/JB.64.6.783-786.1952
Panikov NS, 2005, ADV APPL MICROBIOL, V57, P245, DOI 10.1016/S0065-2164(05)57008-4
Pernthaler J, 2001, APPL ENVIRON MICROB, V67, P2145, DOI 10.1128/AEM.67.5.2145-2155.2001
Pernthaler J, 2017, ENVIRON MICROBIOL, V19, P2133, DOI 10.1111/1462-2920.13742
Podar M, 2013, BIOL DIRECT, V8, DOI 10.1186/1745-6150-8-9
Probst AJ, 2018, NAT MICROBIOL, V3, P328, DOI 10.1038/s41564-017-0098-y
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rogge A, 2017, ENVIRON MICROBIOL, V19, P2495, DOI 10.1111/1462-2920.13783
Roshan S, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-02227-3
Salcher MM, 2014, J LIMNOL, V73, P74, DOI 10.4081/jlimnol.2014.813
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Sauzède R, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00128
Schulz HN, 2001, ANNU REV MICROBIOL, V55, P105, DOI 10.1146/annurev.micro.55.1.105
SCHUT F, 1995, MICROBIOL-UK, V141, P351, DOI 10.1099/13500872-141-2-351
Schut F, 1997, AQUAT MICROB ECOL, V12, P177, DOI 10.3354/ame012177
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
SIEBURTH JM, 1978, LIMNOL OCEANOGR, V23, P1256, DOI 10.4319/lo.1978.23.6.1256
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Soina VS, 2012, EURASIAN SOIL SCI+, V45, P1048, DOI 10.1134/S1064229312110087
Stevens TJ, 2000, PROTEINS, V39, P417, DOI 10.1002/(SICI)1097-0134(20000601)39:4<417::AID-PROT140>3.0.CO;2-Y
Suzina NE, 2015, APPL BIOCHEM MICRO+, V51, P159, DOI 10.1134/S0003683815020192
Tagliabue A, 2017, NATURE, V543, P51, DOI 10.1038/nature21058
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
TORRELLA F, 1981, APPL ENVIRON MICROB, V41, P518, DOI 10.1128/AEM.41.2.518-527.1981
Torsvik Vigdis, 2008, V13, P15
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Vancanneyt M, 2001, INT J SYST EVOL MICR, V51, P73, DOI 10.1099/00207713-51-1-73
Velimirov B., 2001, Microbes and Environments, V16, P67, DOI DOI 10.1264/JSME2.2001.67
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Wagner JK, 2006, P NATL ACAD SCI USA, V103, P11772, DOI 10.1073/pnas.0602047103
Wang YY, 2008, ENVIRON SCI TECHNOL, V42, P6749, DOI 10.1021/es800720n
Wang Y, 2007, ENVIRON SCI TECHNOL, V41, P7080, DOI 10.1021/es0707198
Waters E, 2003, P NATL ACAD SCI USA, V100, P12984, DOI 10.1073/pnas.1735403100
Watson SP, 1998, J BACTERIOL, V180, P1750, DOI 10.1128/JB.180.7.1750-1758.1998
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Wrighton KC, 2012, SCIENCE, V337, P1661, DOI 10.1126/science.1224041
Wu XF, 2016, ISME J, V10, P1192, DOI 10.1038/ismej.2015.185
Wurch L, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12115
Young KD, 2006, MICROBIOL MOL BIOL R, V70, P660, DOI 10.1128/MMBR.00001-06
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
NR 107
TC 56
Z9 62
PD AUG 21
PY 2018
VL 9
AR 1971
DI 10.3389/fmicb.2018.01971
UT WOS:000442215400002
DA 2025-07-30
ER
PT J
AU Williams, TJ
Long, E
Evans, F
DeMaere, MZ
Lauro, FM
Raftery, MJ
Ducklow, H
Grzymski, JJ
Murray, AE
Cavicchioli, R
AF Williams, Timothy J.
Long, Emilie
Evans, Flavia
DeMaere, Mathew Z.
Lauro, Federico M.
Raftery, Mark J.
Ducklow, Hugh
Grzymski, Joseph J.
Murray, Alison E.
Cavicchioli, Ricardo
TI A metaproteomic assessment of winter and summer bacterioplankton from
Antarctic Peninsula coastal surface waters
SO ISME JOURNAL
DT Article
AB A metaproteomic survey of surface coastal waters near Palmer Station on the Antarctic Peninsula, West Antarctica, was performed, revealing marked differences in the functional capacity of summer and winter communities of bacterioplankton. Proteins from Flavobacteria were more abundant in the summer metaproteome, whereas winter was characterized by proteins from ammonia-oxidizing Marine Group I Crenarchaeota. Proteins prevalent in both seasons were from SAR11 and Rhodobacterales clades of Alphaproteobacteria, as well as many lineages of Gammaproteobacteria. The metaproteome data were used to elucidate the main metabolic and energy generation pathways and transport processes occurring at the microbial level in each season. In summer, autotrophic carbon assimilation appears to be driven by oxygenic photoautotrophy, consistent with high light availability and intensity. In contrast, during the dark polar winter, the metaproteome supported the occurrence of chemolithoautotrophy via the 3-hydroxypropionate/4-hydroxybutyrate cycle and the reverse tricarboxylic acid cycle of ammonia-oxidizing archaea and nitrite-oxidizing bacteria, respectively. Proteins involved in nitrification were also detected in the metaproteome. Taurine appears to be an important source of carbon and nitrogen for heterotrophs (especially SAR11), with transporters and enzymes for taurine uptake and degradation abundant in the metaproteome. Divergent heterotrophic strategies for Alphaproteobacteria and Flavobacteria were indicated by the metaproteome data, with Alphaproteobacteria capturing (by high-affinity transport) and processing labile solutes, and Flavobacteria expressing outer membrane receptors for particle adhesion to facilitate the exploitation of non-labile substrates. TonB-dependent receptors from Gammaproteobacteria and Flavobacteria (particularly in summer) were abundant, indicating that scavenging of substrates was likely an important strategy for these clades of Southern Ocean bacteria. This study provides the first insight into differences in functional processes occurring between summer and winter microbial communities in coastal Antarctic waters, and particularly highlights the important role that 'dark' carbon fixation has in winter. The ISME Journal (2012) 6, 1883-1900; doi:10.1038/ismej.2012.28; published online 26 April 2012
C1 [Cavicchioli, Ricardo] Univ New S Wales, Sch Biotechnol & Biomol Sci, BABS, Sydney, NSW 2052, Australia.
[Grzymski, Joseph J.; Murray, Alison E.] Desert Res Inst, Div Earth & Ecosyst Sci, Reno, NV 89512 USA.
[Long, Emilie] Univ Paris 06, UFR 927, Dept Format Biol Cellulaire & Mol, Paris, France.
[Raftery, Mark J.] Univ New S Wales, Bioanalyt Mass Spectrometry Facil, Sydney, NSW, Australia.
[Ducklow, Hugh] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA.
RP Cavicchioli, R (corresponding author), Univ New S Wales, Sch Biotechnol & Biomol Sci, BABS, Sydney, NSW 2052, Australia.
EM alison.murray@dri.edu; r.cavicchioli@unsw.edu.au
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Allen MA, 2009, ISME J, V3, P1012, DOI 10.1038/ismej.2009.45
[Anonymous], 2011, AUSTR ANT SCI STRAT
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Berg IA, 2007, SCIENCE, V318, P1782, DOI 10.1126/science.1149976
Blanvillain S, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000224
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Burg DW, 2010, J PROTEOME RES, V9, P664, DOI 10.1021/pr9007865
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
Danson MJ, 2007, ARCHAEA: MOLECULAR AND CELLULAR BIOLOGY, P260
DeLong E, 2006, PLOS BIOL, V4, P2412, DOI 10.1371/journal.pbio.0040437
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
DELONG EF, 1994, NATURE, V371, P695, DOI 10.1038/371695a0
DeMaere MZ, 2011, BIOINFORMATICS, V27, P2431, DOI 10.1093/bioinformatics/btr411
Dixon JL., 2011, Biogeosci Discuss, V8, P3899
Farmer CT, 2007, PICES SPECIAL PUBLIC, P3191
Forward JA, 1997, J BACTERIOL, V179, P5482, DOI 10.1128/jb.179.17.5482-5493.1997
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert HJ, 2008, STRUCTURE, V16, P987, DOI 10.1016/j.str.2008.06.002
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Goltsman DSA, 2009, APPL ENVIRON MICROB, V75, P4599, DOI 10.1128/AEM.02943-08
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hallam SJ, 2006, P NATL ACAD SCI USA, V103, P18296, DOI 10.1073/pnas.0608549103
Hayashi NR, 1997, BIOCHEM BIOPH RES CO, V241, P565, DOI 10.1006/bbrc.1997.7853
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
Holtmann G, 2004, J BACTERIOL, V186, P1683, DOI 10.1128/JB.186.6.1683-1693.2004
Kappler U, 2011, BBA-BIOENERGETICS, V1807, P1, DOI 10.1016/j.bbabio.2010.09.004
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kockelkorn D, 2009, J BACTERIOL, V191, P6352, DOI 10.1128/JB.00794-09
Koebnik R, 2005, TRENDS MICROBIOL, V13, P343, DOI 10.1016/j.tim.2005.06.005
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lauro FM, 2011, ISME J, V5, P879, DOI 10.1038/ismej.2010.185
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lücker S, 2010, P NATL ACAD SCI USA, V107, P13479, DOI 10.1073/pnas.1003860107
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Markowitz VM, 2012, NUCLEIC ACIDS RES, V40, pD123, DOI 10.1093/nar/gkr975
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
Meyer B, 2007, APPL ENVIRON MICROB, V73, P7664, DOI 10.1128/AEM.01272-07
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 1997, LIMNOL OCEANOGR, V42, P1307, DOI 10.4319/lo.1997.42.6.1307
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Nagano K, 2007, J MED MICROBIOL, V56, P1536, DOI 10.1099/jmm.0.47289-0
Newton ILG, 2007, SCIENCE, V315, P998, DOI 10.1126/science.1138438
Ng C, 2010, ISME J, V4, P1002, DOI 10.1038/ismej.2010.28
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Ramos-Vera WH, 2011, J BACTERIOL, V193, P1201, DOI 10.1128/JB.01156-10
Reeves AR, 1997, J BACTERIOL, V179, P643, DOI 10.1128/jb.179.3.643-649.1997
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
SHARP JH, 1993, LIMNOL OCEANOGR, V38, P1774, DOI 10.4319/lo.1993.38.8.1774
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stocker R, 2008, P NATL ACAD SCI USA, V105, P4209, DOI 10.1073/pnas.0709765105
Strous M, 2006, NATURE, V440, P790, DOI 10.1038/nature04647
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Thomas T, 2007, MAR ECOL PROG SER, V332, P291, DOI 10.3354/meps332291
Ting L, 2010, ENVIRON MICROBIOL, V12, P2658, DOI 10.1111/j.1462-2920.2010.02235.x
Tourna M, 2011, P NATL ACAD SCI USA, V108, P8420, DOI 10.1073/pnas.1013488108
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Turner J, 2005, INT J CLIMATOL, V25, P279, DOI 10.1002/joc.1130
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Williams TJ, 2010, J PROTEOME RES, V9, P640, DOI 10.1021/pr900509n
Williams TJ, 2009, ISME J, V3, P1036, DOI 10.1038/ismej.2009.52
Winnen B, 2003, RES MICROBIOL, V154, P457, DOI 10.1016/S0923-2508(03)00126-8
Wuchter C, 2007, P NATL ACAD SCI USA, V104, P5704, DOI 10.1073/pnas.0701630104
Yau S, 2011, P NATL ACAD SCI USA, V108, P6163, DOI 10.1073/pnas.1018221108
NR 89
TC 160
Z9 175
PD OCT
PY 2012
VL 6
IS 10
BP 1883
EP 1900
DI 10.1038/ismej.2012.28
UT WOS:000309056300008
DA 2025-07-30
ER
PT J
AU Stephens, BM
Fox, J
Liu, ST
Halsey, KH
Nicholson, DP
Traylor, S
Carlson, CA
AF Stephens, Brandon M.
Fox, James
Liu, Shuting
Halsey, Kimberly H.
Nicholson, David P.
Traylor, Shawnee
Carlson, Craig A.
TI Influence of amino acids on bacterioplankton production, biomass and
community composition at Ocean Station Papa in the subarctic Pacific
SO ELEMENTA-SCIENCE OF THE ANTHROPOCENE
DT Article
AB Bacterioplankton play a central role in carbon cycling, yet their relative contributions to carbon production and removal can be difficult to constrain. As part of the Export Processes in the Ocean from RemoTe Sensing (EXPORTS) program, this study identifies potential influences of bacterioplankton community and dissolved organic matter (DOM) composition on carbon cycling at Ocean Station Papa in August 2018. Surface (5-35 m) bacterioplankton production rates and stocks spanned a 2- to 3-fold range over the 3-week cruise and correlated positively with the DOM degradation state, estimated using the mole proportion of total dissolved amino acids. When the DOM was more degraded, 16S rRNA gene amplicon data revealed a less diverse bacterioplankton community with a significant contribution from members of the Flavobacteriaceae family. Over the course of 7-10 d, as the DOM quality improved (became less degraded) and bacterioplankton productivity increased, the responding bacterioplankton community became more diverse, with increased relative contributions from members of the SAR86, SAR11 and AEGEAN-169 clades. The cruise mean for mixed layer, depth-integrated bacterioplankton carbon demand (gross bacterioplankton production) was 5.2 mmol C m-2 d-1, representing 60% of net primary production, where the difference between net primary production and bacterioplankton carbon demand was less than sinking flux at 50 m. The concentrations of dissolved organic carbon (cruise average of 58.5 mM C) did not exhibit a systematic change over the cruise period. Therefore, we hypothesize that carbon supplied from gross carbon production, values that were 2- to 3-fold greater than net primary production, provided the carbon necessary to account for the sinking flux and bacterioplankton carbon demand that were in excess of net primary production. These findings highlight the central contributions of bacterioplankton to carbon cycling at Ocean Station Papa, a site of high carbon recycling.
C1 [Stephens, Brandon M.; Liu, Shuting; Carlson, Craig A.] Univ Calif Santa Barbara, Marine Sci Inst, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Fox, James; Halsey, Kimberly H.] Oregon State Univ, Dept Microbiol, Corvallis, OR USA.
[Liu, Shuting] Kean Univ, Dept Environm & Sustainabil Sci, Union, NJ USA.
[Nicholson, David P.; Traylor, Shawnee] Woods Hole Oceanog Inst, Marine Chem & Geochem Dept, Woods Hole, MA USA.
[Traylor, Shawnee] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA USA.
RP Stephens, BM (corresponding author), Univ Calif Santa Barbara, Marine Sci Inst, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
EM bstephens@ucsb.edu
CR Alonso-Sáez L, 2008, ECOSYSTEMS, V11, P397, DOI 10.1007/s10021-008-9129-0
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Anderson MJ, 2003, ECOLOGY, V84, P511, DOI 10.1890/0012-9658(2003)084[0511:CAOPCA]2.0.CO;2
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Arnosti C, 2021, ANNU REV MAR SCI, V13, P81, DOI 10.1146/annurev-marine-032020-012810
Baetge N, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.669883
BAINES SB, 1991, LIMNOL OCEANOGR, V36, P1078, DOI 10.4319/lo.1991.36.6.1078
Barone B, 2019, LIMNOL OCEANOGR-METH, DOI 10.1002/lom3.10340
Bif MB, 2019, GLOBAL BIOGEOCHEM CY, V33, P526, DOI 10.1029/2018GB006152
Bowman J, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 5, THIRD EDITION, P266, DOI 10.1007/0-387-30745-1_15
Boyd P, 1999, DEEP-SEA RES PT II, V46, P2405, DOI 10.1016/S0967-0645(99)00069-7
Boyd PW, 1995, MAR ECOL PROG SER, V128, P25, DOI 10.3354/meps128025
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buesseler K.O., 2020, Elementa: Science of the Anthropocene, V8
Buesseler KO, 2009, LIMNOL OCEANOGR, V54, P1210, DOI 10.4319/lo.2009.54.4.1210
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
Carlson CA, 2007, OCEANOGRAPHY, V20, P89, DOI 10.5670/oceanog.2007.52
Choi DH, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy134
COWIE GL, 1994, NATURE, V369, P304, DOI 10.1038/369304a0
Dauwe B, 1999, LIMNOL OCEANOGR, V44, P1809, DOI 10.4319/lo.1999.44.7.1809
Davie-Martin CL, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.611870
Davis J, 2009, ORG GEOCHEM, V40, P343, DOI 10.1016/j.orggeochem.2008.12.003
de Boyer Montégut C, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002378
De Cáceres M, 2009, ECOLOGY, V90, P3566, DOI 10.1890/08-1823.1
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Ducklow H.W., 1992, ARCH HYDROBIOL, V37, P207
Ducklow HW, 1999, FEMS MICROBIOL ECOL, V30, P1, DOI 10.1111/j.1574-6941.1999.tb00630.x
Estapa M, 2021, ELEMENTA-SCI ANTHROP, V9, DOI 10.1525/elementa.2020.00122
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Fox J, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00024
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Halewood E, 2022, FRONT MAR SCI, DOI [10.25607/OBP-1745, DOI 10.25607/OBP-1745]
Halsey KH, 2015, ANNU REV MAR SCI, V7, P265, DOI 10.1146/annurev-marine-010814-015813
Halsey KH, 2013, NEW PHYTOL, V198, P1030, DOI 10.1111/nph.12209
Halsey KH, 2010, PHOTOSYNTH RES, V103, P125, DOI 10.1007/s11120-009-9526-z
Harrison PJ, 2004, J OCEANOGR, V60, P93, DOI 10.1023/B:JOCE.0000038321.57391.2a
HOLM S, 1979, SCAND J STAT, V6, P65
HUTCHESON K, 1970, J THEOR BIOL, V29, P151, DOI 10.1016/0022-5193(70)90124-4
Juranek LW, 2013, ANNU REV MAR SCI, V5, P503, DOI 10.1146/annurev-marine-121211-172430
Kaiser K, 2006, LIMNOL OCEANOGR-METH, V4, P293, DOI 10.4319/lom.2006.4.293
Kaiser K, 2009, MAR CHEM, V113, P63, DOI 10.1016/j.marchem.2008.12.004
KIRCHMAN DL, 1995, DEEP-SEA RES PT II, V42, P603, DOI 10.1016/0967-0645(95)00021-H
KIRCHMAN DL, 1989, DEEP-SEA RES, V36, P1763, DOI 10.1016/0198-0149(89)90071-X
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
KIRCHMAN DL, 1992, MAR ECOL PROG SER, V82, P301, DOI 10.3354/meps082301
KIRCHMAN DL, 1990, MAR ECOL PROG SER, V62, P47, DOI 10.3354/meps062047
KIRCHMAN DL, 1993, DEEP-SEA RES PT I, V40, P967, DOI 10.1016/0967-0637(93)90084-G
Lande R, 1996, OIKOS, V76, P5, DOI 10.2307/3545743
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
LAWS EA, 1991, DEEP-SEA RES, V38, P143, DOI 10.1016/0198-0149(91)90059-O
Lever MA, 2015, FEMS MICROBIOL REV, V39, P688, DOI 10.1093/femsre/fuv020
LEWIS MR, 1983, MAR ECOL PROG SER, V13, P99, DOI 10.3354/meps013099
Liang JH, 2013, GLOBAL BIOGEOCHEM CY, V27, P894, DOI 10.1002/gbc.20080
Liu S, 2020, LIMNOL OCEANOGR, DOI 10.1002/
Liu ST, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-019-57189-x
Liu ST, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00353
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Maas AE, 2021, J PLANKTON RES, V43, P413, DOI 10.1093/plankt/fbab026
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANN HB, 1947, ANN MATH STAT, V18, P50, DOI 10.1214/aoms/1177730491
Marra J., 2002, PHYTOPLANKTON PRODUC, DOI [10.1002/9780470995204.ch4, DOI 10.1002/9780470995204.CH4]
Marra J, 2009, AQUAT MICROB ECOL, V56, P123, DOI 10.3354/ame01306
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
McNair HM, 2021, LIMNOL OCEANOGR, V66, P2697, DOI 10.1002/lno.11783
Moran MA, 2016, P NATL ACAD SCI, V113
Moran MA, 2022, LIMNOL OCEANOGR, V67, P1007, DOI 10.1002/lno.12053
Morán XAG, 2002, MICROBIAL ECOL, V44, P217, DOI 10.1007/s00248-002-1026-z
Nagata T., 2000, MICROBIAL ECOLOGY OC, P121
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Nicholson DP, 2015, GEOPHYS RES LETT, V42, P4032, DOI 10.1002/2015GL063065
Norris N, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009023
Oksanen, 2022, VEGAN COMMUNITY ECOL
Orsi WD, 2016, ISME J, V10, P2158, DOI 10.1038/ismej.2016.20
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
REINTJES G, 2019, APPL ENVIRON MICROB, V85
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Reji L, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01075
Roca-Martí M, 2021, ELEMENTA-SCI ANTHROP, V9, DOI 10.1525/elementa.2020.00166
SHAPIRO SS, 1965, BIOMETRIKA, V52, P591, DOI 10.1093/biomet/52.3-4.591
SHARP JH, 1974, LIMNOL OCEANOGR, V19, P984, DOI 10.4319/lo.1974.19.6.0984
Shen Y, 2020, LIMNOL OCEANOGR, V65, P1061, DOI 10.1002/lno.11369
Sherry ND, 1999, DEEP-SEA RES PT II, V46, P2557, DOI 10.1016/S0967-0645(99)00076-4
Siegel DA, 2019, EXPORTS SEAWIFS BIOO, DOI [10.5067/SeaBASS/EXPORTS/DATA001, DOI 10.5067/SEABASS/EXPORTS/DATA001]
Siegel DA, 2021, ELEMENTA-SCI ANTHROP, V9, DOI 10.1525/elementa.2020.00107
Siegel DA, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00022
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stephens BM, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.590273
Strickland J.D. H., 1969, The Quarterly Review of Biology, V44, P327
Teira E, 2015, MAR ECOL PROG SER, V528, P53, DOI 10.3354/meps11228
Tilstone GH, 2005, J PLANKTON RES, V27, P1127, DOI 10.1093/plankt/fbi075
Tortell PD, 1996, NATURE, V383, P330, DOI 10.1038/383330a0
Traving SJ, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02731-9
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Wear EK, 2018, ENVIRON MICROBIOL, V20, P2709, DOI 10.1111/1462-2920.14091
WEBB WL, 1974, OECOLOGIA, V17, P281, DOI 10.1007/BF00345747
WELSCHMEYER NA, 1993, PROG OCEANOGR, V32, P101, DOI 10.1016/0079-6611(93)90010-B
Werdell P.J., 2003, EOS Transactions AGU, V84, P377
Wetz MS, 2003, LIMNOL OCEANOGR, V48, P1808, DOI 10.4319/lo.2003.48.5.1808
Willis AD, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02407
YENTSCH CS, 1963, DEEP-SEA RES, V10, P221, DOI 10.1016/0011-7471(63)90358-9
NR 114
TC 8
Z9 8
PD MAY 2
PY 2023
VL 11
IS 1
AR 00095
DI 10.1525/elementa.2022.00095
UT WOS:000988107400001
DA 2025-07-30
ER
PT J
AU Haro-Moreno, JM
López-Pérez, M
Rodriguez-Valera, F
AF Haro-Moreno, Jose M.
Lopez-Perez, Mario
Rodriguez-Valera, Francisco
TI Enhanced Recovery of Microbial Genes and Genomes From a Marine Water
Column Using Long-Read Metagenomics
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Third-generation sequencing has penetrated little in metagenomics due to the high error rate and dependence for assembly on short-read designed bioinformatics. However, second-generation sequencing metagenomics (mostly Illumina) suffers from limitations, particularly in the assembly of microbes with high microdiversity and retrieval of the flexible (adaptive) fraction of prokaryotic genomes. Here, we have used a third-generation technique to study the metagenome of a well-known marine sample from the mixed epipelagic water column of the winter Mediterranean. We have compared PacBio Sequel II with the classical approach using Illumina Nextseq short reads followed by assembly to study the metagenome. Long reads allow for efficient direct retrieval of complete genes avoiding the bias of the assembly step. Besides, the application of long reads on metagenomic assembly allows for the reconstruction of much more complete metagenome-assembled genomes (MAGs), particularly from microbes with high microdiversity such as Pelagibacterales. The flexible genome of reconstructed MAGs was much more complete containing many adaptive genes (some with biotechnological potential). PacBio Sequel II CCS appears particularly suitable for cellular metagenomics due to its low error rate. For most applications of metagenomics, from community structure analysis to ecosystem functioning, long reads should be applied whenever possible. Specifically, for in silico screening of biotechnologically useful genes, or population genomics, long-read metagenomics appears presently as a very fruitful approach and can be analyzed from raw reads before a computationally demanding (and potentially artifactual) assembly step.
C1 [Haro-Moreno, Jose M.; Lopez-Perez, Mario; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain.
[Rodriguez-Valera, Francisco] Moscow Inst Phys & Technol, Res Ctr Mol Mech Aging & Age Related Dis, Dolgoprudnyi, Russia.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Alicante, Spain.; Rodriguez-Valera, F (corresponding author), Moscow Inst Phys & Technol, Res Ctr Mol Mech Aging & Age Related Dis, Dolgoprudnyi, Russia.
EM frvalera@umh.es
CR Acinas S.G., 2019, MICROBIOLOGY, DOI [10.1101/635680, DOI 10.1101/635680]
Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
Ahlgren NA, 2017, ENVIRON MICROBIOL, V19, P2434, DOI 10.1111/1462-2920.13768
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Antipov D, 2016, BIOINFORMATICS, V32, P1009, DOI 10.1093/bioinformatics/btv688
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Baltz RH, 2008, CURR OPIN PHARMACOL, V8, P557, DOI 10.1016/j.coph.2008.04.008
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Beaulaurier J, 2020, GENOME RES, V30, P437, DOI 10.1101/gr.251686.119
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Benítez-Páez A, 2016, GIGASCIENCE, V5, DOI 10.1186/s13742-016-0111-z
Bickhart DM., 2022, Nat Biotechnol, V40, P711, DOI DOI 10.1101/2021.05.04.442591
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Biswas A, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2627-0
Blin K, 2019, NUCLEIC ACIDS RES, V47, pW81, DOI 10.1093/nar/gkz310
Boeuf D, 2015, DATABASE-OXFORD, DOI 10.1093/database/bav080
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Bratanov D, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12718-0
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Burstein D, 2017, NATURE, V542, P237, DOI 10.1038/nature21059
Castelle CJ, 2018, CELL, V172, P1181, DOI 10.1016/j.cell.2018.02.016
Chen LX, 2020, GENOME RES, V30, P315, DOI 10.1101/gr.258640.119
Clarke J, 2009, NAT NANOTECHNOL, V4, P265, DOI [10.1038/nnano.2009.12, 10.1038/NNANO.2009.12]
Coates RC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0085140
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Coutinho FH, 2019, BMC BIOL, V17, DOI 10.1186/s12915-019-0723-8
Couvin D, 2018, NUCLEIC ACIDS RES, V46, pW246, DOI 10.1093/nar/gky425
Deisseroth K, 2011, NAT METHODS, V8, P26, DOI 10.1038/NMETH.F.324
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Ramos-Barbero MD, 2019, SYST APPL MICROBIOL, V42, P30, DOI 10.1016/j.syapm.2018.11.001
Duarte CM, 2020, ENVIRON MICROBIOL, V22, P4589, DOI 10.1111/1462-2920.15182
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eid J, 2009, SCIENCE, V323, P133, DOI 10.1126/science.1162986
Ewing B, 1998, GENOME RES, V8, P186, DOI 10.1101/gr.8.3.186
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Frank JA, 2016, SCI REP-UK, V6, DOI 10.1038/srep25373
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Fukasawa Y, 2020, G3-GENES GENOM GENET, V10, P1193, DOI 10.1534/g3.119.400864
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gonzaga A, 2012, GENOME BIOL EVOL, V4, P1360, DOI 10.1093/gbe/evs112
Goodwin S, 2016, NAT REV GENET, V17, P333, DOI 10.1038/nrg.2016.49
Govorunova EG, 2020, P NATL ACAD SCI USA, V117, P22833, DOI 10.1073/pnas.2005981117
Govorunova EG, 2017, ANNU REV BIOCHEM, V86, P845, DOI 10.1146/annurev-biochem-101910-144233
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Haro-Moreno JM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02926
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Haro-Moreno JM, 2017, ISME J, V11, P1102, DOI 10.1038/ismej.2016.188
Hauser M, 2016, BIOINFORMATICS, V32, P1323, DOI 10.1093/bioinformatics/btw006
Holt KE, 2020, ISME J, V14, P1713, DOI 10.1038/s41396-020-0628-0
Horvath P, 2010, SCIENCE, V327, P167, DOI 10.1126/science.1179555
Hu Y, 2020, ISCIENCE, V23, DOI 10.1016/j.isci.2020.101223
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ivanova EP, 2015, ANTON LEEUW INT J G, V107, P119, DOI 10.1007/s10482-014-0309-y
Jain M, 2018, NAT BIOTECHNOL, V36, P338, DOI 10.1038/nbt.4060
Jayaraman J, 2020, ENVIRON MICROBIOL, V22, P5356, DOI 10.1111/1462-2920.15250
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kimes NE, 2015, SYST APPL MICROBIOL, V38, P293, DOI 10.1016/j.syapm.2015.05.003
Kolmogorov M, 2020, NAT METHODS, V17, P1103, DOI 10.1038/s41592-020-00971-x
Kovalev K, 2020, P NATL ACAD SCI USA, V117, P4131, DOI 10.1073/pnas.1915888117
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
Loman NJ, 2015, NAT METHODS, V12, P733, DOI [10.1038/NMETH.3444, 10.1038/nmeth.3444]
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.01041-20
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
López-Pérez M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00996
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
López-Pérez M, 2014, FRONT GENET, V5, DOI 10.3389/fgene.2014.00147
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Martijn J, 2019, ENVIRON MICROBIOL, V21, P2485, DOI 10.1111/1462-2920.14636
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Miyanaga A, 2017, BIOSCI BIOTECH BIOCH, V81, P2227, DOI 10.1080/09168451.2017.1391687
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Moss EL, 2020, NAT BIOTECHNOL, V38, P701, DOI 10.1038/s41587-020-0422-6
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Nicholls SM, 2019, GIGASCIENCE, V8, DOI 10.1093/gigascience/giz043
Nikolouli K, 2012, BIOTECHNOL LETT, V34, P1393, DOI 10.1007/s10529-012-0919-2
Nivina A, 2019, CHEM REV, V119, P12524, DOI 10.1021/acs.chemrev.9b00525
Nurk S, 2020, GENOME RES, V30, P1291, DOI 10.1101/gr.263566.120
Okazaki Y., 2020, BIORXIV PREPRINT, DOI [10.1101/2020.06.03.133140, DOI 10.1101/2020.06.03.133140]
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Pollard MO, 2018, HUM MOL GENET, V27, pR234, DOI 10.1093/hmg/ddy177
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Renaux A, 2018, NUCLEIC ACIDS RES, V46, P2699, DOI 10.1093/nar/gky092
Rhoads A, 2015, GENOM PROTEOM BIOINF, V13, P278, DOI 10.1016/j.gpb.2015.08.002
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Richter M, 2009, P NATL ACAD SCI USA, V106, P19126, DOI 10.1073/pnas.0906412106
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rizzi R, 2019, QUANT BIOL, V7, P278, DOI 10.1007/s40484-019-0181-x
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodriguez-R LM, 2014, ISME J, V8, P2349, DOI 10.1038/ismej.2014.76
Rodriguez-Valera F, 2016, CURR OPIN MICROBIOL, V31, P154, DOI 10.1016/j.mib.2016.03.014
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schadt EE, 2010, HUM MOL GENET, V19, pR227, DOI 10.1093/hmg/ddq416
Sharon I, 2015, GENOME RES, V25, P534, DOI 10.1101/gr.183012.114
Sharon I, 2013, SCIENCE, V342, P1057, DOI 10.1126/science.1247023
Singer E, 2016, ISME J, V10, P2020, DOI 10.1038/ismej.2015.249
Somerville V, 2019, BMC MICROBIOL, V19, DOI 10.1186/s12866-019-1500-0
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
van der Walt AJ, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-3918-9
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wenger AM, 2019, NAT BIOTECHNOL, V37, P1155, DOI 10.1038/s41587-019-0217-9
Wood DE, 2014, GENOME BIOL, V15, DOI 10.1186/gb-2014-15-3-r46
Xie HY, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.516269
Yin YB, 2012, NUCLEIC ACIDS RES, V40, pW445, DOI 10.1093/nar/gks479
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Yuan C, 2015, BIOINFORMATICS, V31, P35, DOI 10.1093/bioinformatics/btv231
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 128
TC 24
Z9 24
PD AUG 27
PY 2021
VL 12
AR 708782
DI 10.3389/fmicb.2021.708782
UT WOS:000698806400001
DA 2025-07-30
ER
PT J
AU Zhang, ZF
Chen, F
Chu, X
Zhang, H
Luo, HW
Qin, F
Zhai, ZQ
Yang, MY
Sun, J
Zhao, YL
AF Zhang, Zefeng
Chen, Feng
Chu, Xiao
Zhang, Hao
Luo, Haiwei
Qin, Fang
Zhai, Zhiqiang
Yang, Mingyu
Sun, Jing
Zhao, Yanlin
TI Diverse, Abundant, and Novel Viruses Infecting the Marine
Roseobacter RCA Lineage
SO MSYSTEMS
DT Article
AB Many major marine bacterial lineages such as SAR11, Prochlorococcus, SAR116, and several Roseobacter lineages have members that are abundant, relatively slow-growing, and genome streamlined. The isolation of phages that infect SAR11 and SAR116 have demonstrated the dominance of these phages in the marine virosphere. However, no phages have been isolated from bacteria in the Roseobacter RCA lineage, another abundant group of marine bacteria. In this study, seven RCA phages that infect three different RCA strains were isolated and characterized. All seven RCA phages belong to the Podoviridae family and have genome sizes ranging from 39.6 to 58.1 kb. Interestingly, three RCA phages (CRP-1, CRP-2, and CRP-3) show similar genomic content and architecture as SAR116 phage HMO-2011, which represents one of the most abundant known viral groups in the ocean. The high degree of homology among CRP-1, CRP-2, CRP-3, and HMO-2011 resulted in the contribution of RCA phages to the dominance of the HMO-2011-type group. CRP-4 and CRP-5 are similar to the Cobavirus group roseophages in terms of gene content and organization. The remaining two RCA phages, CRP-6 and CRP-7, show limited genomic similarity with known phages and represent two new phage groups. Metagenomic fragment recruitment analyses reveal that these RCA phage groups are much more abundant in the ocean than most existing marine roseophage groups. The characterization of these RCA phages has greatly expanded our understanding of the genomic diversity and evolution of marine roseophages and suggests the critical need for isolating phages from the abundant but "unculturable" bacteria.
IMPORTANCE The RCA lineage of the marine Roseobacter group represents one of the slow-growing but dominant components of marine microbial communities. Although dozens of roseophages have been characterized, no phages infecting RCA strains have been reported. In this study, we reported on the first RCA phage genomes and investigated their distribution pattern and relative abundance in comparison with other important marine phage groups. Two of the four RCA phage groups were found closely related to previously reported SAR116 phage HMO-2011 and Cobavirus group roseophages, respectively. The remaining two groups are novel in the genome contents. Our study also revealed that RCA phages are widely distributed and exhibit high abundance in marine viromic data sets. Altogether, our findings have greatly broadened our understanding of RCA phages and emphasize the ecological and evolutionary importance of RCA phages in the marine virosphere.
C1 [Zhang, Zefeng; Qin, Fang; Zhai, Zhiqiang; Yang, Mingyu; Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll Life Sci, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Fuzhou, Fujian, Peoples R China.
[Chen, Feng] Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, Baltimore, MD 21201 USA.
[Chu, Xiao; Zhang, Hao; Luo, Haiwei] Chinese Univ Hong Kong, Sch Life Sci, Simon FS Li Marine Sci Lab, Shatin, Hong Kong, Peoples R China.
[Chu, Xiao; Zhang, Hao; Luo, Haiwei] Chinese Univ Hong Kong, State Key Lab Agrobiotechnol, Shatin, Hong Kong, Peoples R China.
[Sun, Jing] Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao, Shandong, Peoples R China.
RP Zhao, YL (corresponding author), Fujian Agr & Forestry Univ, Coll Life Sci, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Fuzhou, Fujian, Peoples R China.
EM yanlinzhao@fafu.edu.cn
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
Angly F, 2009, ENVIRON MICROBIOL, V11, P2863, DOI 10.1111/j.1462-2920.2009.02021.x
Ankrah Nana Y D, 2014, Genome Announc, V2, DOI 10.1128/genomeA.00108-14
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Bischoff V, 2019, ISME J, V13, P1404, DOI 10.1038/s41396-019-0362-7
BORODOVSKY M, 1993, COMPUT CHEM, V17, P123, DOI 10.1016/0097-8485(93)85004-V
Breitbart M, 2007, OCEANOGRAPHY, V20, P135, DOI 10.5670/oceanog.2007.58
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Michael JB, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002048
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Duhaime MB, 2011, ISME J, V5, P107, DOI 10.1038/ismej.2010.94
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Giebel HA, 2013, INT J SYST EVOL MICR, V63, P4207, DOI 10.1099/ijs.0.053249-0
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grant CM, 2001, MOL MICROBIOL, V39, P533, DOI 10.1046/j.1365-2958.2001.02283.x
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Gross M, 2006, MOL MICROBIOL, V59, P590, DOI 10.1111/j.1365-2958.2005.04956.x
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
Holmfeldt K, 2013, P NATL ACAD SCI USA, V110, P12798, DOI 10.1073/pnas.1305956110
Huang SJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142962
Hunt DE, 2006, APPL ENVIRON MICROB, V72, P2221, DOI 10.1128/AEM.72.3.2221-2225.2006
Jang HB, 2019, NAT BIOTECHNOL, V37, P632, DOI 10.1038/s41587-019-0100-8
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kang I, 2012, J VIROL, V86, P8339, DOI 10.1128/JVI.01153-12
Katoh K, 2009, METHODS MOL BIOL, V537, P39, DOI 10.1007/978-1-59745-251-9_3
KOGURE K, 1979, CAN J MICROBIOL, V25, P415, DOI 10.1139/m79-063
Labonté JM, 2009, APPL ENVIRON MICROB, V75, P3634, DOI 10.1128/AEM.02317-08
Lane D.J., 1991, NUCL ACID TECHNIQUES
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lavigne R, 2008, RES MICROBIOL, V159, P406, DOI 10.1016/j.resmic.2008.03.005
Lee S, 2008, J BIOL CHEM, V283, P15232, DOI 10.1074/jbc.M800479200
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Li BL, 2016, CURR MICROBIOL, V73, P409, DOI 10.1007/s00284-016-1071-3
Lillig CH, 2008, BBA-GEN SUBJECTS, V1780, P1304, DOI 10.1016/j.bbagen.2008.06.003
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Luo HW, 2012, ENVIRON MICROBIOL, V14, P41, DOI 10.1111/j.1462-2920.2011.02528.x
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Mayali X, 2008, APPL ENVIRON MICROB, V74, P2595, DOI 10.1128/AEM.02191-07
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Meier-Kolthoff JP, 2017, BIOINFORMATICS, V33, P3396, DOI 10.1093/bioinformatics/btx440
Murphy J, 2013, APPL ENVIRON MICROB, V79, P7547, DOI 10.1128/AEM.02229-13
Muyzer G, 1998, ANTON LEEUW INT J G, V73, P127, DOI 10.1023/A:1000669317571
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Pattridge KA, 2003, J BIOL CHEM, V278, P51863, DOI 10.1074/jbc.M306174200
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rohwer F, 2000, LIMNOL OCEANOGR, V45, P408, DOI 10.4319/lo.2000.45.2.0408
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, ELIFE, V4, DOI 10.7554/eLife.08490
Sambrook J., 1989, Molecular Cloning: A Laboratory Manual
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Suttle CA., 2010, Manual of Aquatic Viral Ecology, P145, DOI DOI 10.4319/MAVE.2010.978-0-9845591-0-7.145
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Ud-Din AIMS, 2016, INT J MOL SCI, V17, DOI 10.3390/ijms17071018
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Yang YL, 2017, VIRUSES-BASEL, V9, DOI 10.3390/v9050109
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zhan YC, 2019, ENVIRON MICROBIOL, V21, P1885, DOI 10.1111/1462-2920.14504
Zhang Y, 2016, APPL ENVIRON MICROB, V82, P2100, DOI 10.1128/AEM.03678-15
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhao YL, 2009, ENVIRON MICROBIOL, V11, P2055, DOI 10.1111/j.1462-2920.2009.01927.x
NR 76
TC 31
Z9 31
PD NOV-DEC
PY 2019
VL 4
IS 6
AR e00494-19
DI 10.1128/mSystems.00494-19
UT WOS:000518852300017
DA 2025-07-30
ER
PT J
AU Rodríguez-Gómez, C
Durán-Riveroll, LM
Okolodkov, YB
Oliart-Ros, RM
García-Casillas, AM
Cembella, AD
AF Rodriguez-Gomez, Citlali
Maria Duran-Riveroll, Lorena
Okolodkov, Yuri B.
Oliart-Ros, Rosa Maria
Garcia-Casillas, Andrea M.
Cembella, Allan D.
TI Diversity of Bacterioplankton and Bacteriobenthos from the Veracruz Reef
System, Southwestern Gulf of Mexico
SO MICROORGANISMS
DT Article
AB Bacterial diversity was explored among field samples and cultured isolates from coral reefs within the Veracruz Reef System. Bacterioplankton and bacteriobenthos were characterized by pyrosequencing 16S rRNA genes. Identified sequences belonged to the kingdom Bacteria and classified into 33 phyla. Proteobacteria (likely SAR11 clade) dominated in collective field samples, whereas Firmicutes were the most abundant taxa among cultured isolates. Bioinformatic sorting of sequences to family level revealed 223 bacterial families. Pseudomonadaceae, Exiguobacteraceae and Bacillaceae were dominant among cultured isolates. Vibrionaceae, Alteromonadaceae, and Flavobacteriaceae dominated in reef-associated sediments, whereas Rickettsiaceae and Synechoccaceae were more highly represented in the water column. Bacterial communities from sediments were more diverse than from the water column. This study reveals cryptic bacterial diversity among microenvironmental components of marine microbial reef communities subject to differential influence of anthropogenic stressors. Such investigations are critical for constructing scenarios of environmentally induced shifts in bacterial biodiversity and species composition.
C1 [Rodriguez-Gomez, Citlali; Oliart-Ros, Rosa Maria] Tecnol Nacl Mexico, Inst Tecnol Veracruz, Unidad Invest & Desarrollo Alimentos, Veracruz 91897, Veracruz, Mexico.
[Maria Duran-Riveroll, Lorena] CONACYT, Dept Biotecnol Marina, Ctr Invest Cient & Educ Super Ensenada, Carretera Tijuana Ensenada 3918, Ensenada 22860, Baja California, Mexico.
[Maria Duran-Riveroll, Lorena; Cembella, Allan D.] Helmholtz Zentrum Polar & Meeresforsch, Alfred Wegener Inst, D-27570 Bremerhaven, Germany.
[Okolodkov, Yuri B.] Univ Veracruzana, Inst Ciencias Marinas & Pesquerias, Mar Mediterraneo 314, Boca Del Rio 94294, Veracruz, Mexico.
[Garcia-Casillas, Andrea M.] Univ Nacl Autonoma Mexico, Fac Ciencias, Mexico City 0451, DF, Mexico.
RP Durán-Riveroll, LM (corresponding author), CONACYT, Dept Biotecnol Marina, Ctr Invest Cient & Educ Super Ensenada, Carretera Tijuana Ensenada 3918, Ensenada 22860, Baja California, Mexico.; Durán-Riveroll, LM; Cembella, AD (corresponding author), Helmholtz Zentrum Polar & Meeresforsch, Alfred Wegener Inst, D-27570 Bremerhaven, Germany.
EM cileya@yahoo.com; lorena.duran@awi.de; yuriokolodkov@yahoo.com;
rosa.or@veracruz.tecnm.mx; garciacasillas@ciencias.unam.mx;
allan.cembella@awi.de
CR Ake-Castillo J.A., 2014, GOLFO MEXICO CONTAMI, V3rd ed., P133
Antranikian G, 2005, ADV BIOCHEM ENG BIOT, V96, P219, DOI 10.1007/b135786
Avendaño O, 2019, ESTUAR COAST SHELF S, V222, P53, DOI 10.1016/j.ecss.2019.04.012
Avendaño-Alvarez O, 2017, REG STUD MAR SCI, V9, P145, DOI 10.1016/j.rsma.2016.12.007
Barott KL, 2012, TRENDS MICROBIOL, V20, P621, DOI 10.1016/j.tim.2012.08.004
Barott KL, 2011, ENVIRON MICROBIOL, V13, P1192, DOI 10.1111/j.1462-2920.2010.02419.x
Barry J., 2008, SCI AM, V18, P22, DOI [10.1038/scientificamericanearth0908-22, DOI 10.1038/SCIENTIFICAMERICANEARTH0908-22]
Bilgin H, 2015, CAN J INFECT DIS MED, V26, P277, DOI 10.1155/2015/973284
BUTTON DK, 1985, MICROBIOL REV, V49, P270, DOI 10.1128/MMBR.49.3.270-297.1985
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlos C, 2013, SCI REP-UK, V3, DOI 10.1038/srep01624
Carricart-Ganivet JP, 2011, DIS AQUAT ORGAN, V95, P181, DOI 10.3354/dao02359
Da Silva MAC, 2013, SPRINGERPLUS, V2, DOI 10.1186/2193-1801-2-127
Charpy L, 2005, VIE MILIEU, V55, P217
DasSarma S, 2015, CURR OPIN MICROBIOL, V25, P120, DOI 10.1016/j.mib.2015.05.009
DeLong EF, 2005, NATURE, V437, P336, DOI 10.1038/nature04157
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Fasesan D., 2020, ADV MICROBIOL, V10, P145, DOI [10.4236/aim.2020.104012, DOI 10.4236/AIM.2020.104012]
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gärtner A, 2011, ANTON LEEUW INT J G, V100, P421, DOI 10.1007/s10482-011-9599-5
Ghai R, 2011, SCI REP-UK, V1, DOI 10.1038/srep00135
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Glasl B, 2016, ISME J, V10, P2280, DOI 10.1038/ismej.2016.9
Gomes J, 2004, FOOD TECHNOL BIOTECH, V42, P223
Gutiérrez-Ruiz CV, 2011, REV MEX BIODIVERS, V82, P249
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Horta-Puga Guillermo, 2003, Atoll Research Bulletin, V496, P360
Ivanova EP, 2003, SYST APPL MICROBIOL, V26, P293, DOI 10.1078/072320203322346155
Jensen S, 2008, DEEP-SEA RES PT I, V55, P1554, DOI 10.1016/j.dsr.2008.06.008
Jones J., 2008, P 11 INT COR REEF S, V2, P763
Kioroglou D, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01084
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kostka JE, 2011, APPL ENVIRON MICROB, V77, P7962, DOI 10.1128/AEM.05402-11
Krause E, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047035
Kuczynski Justin, 2011, Curr Protoc Bioinformatics, VChapter 10, DOI [10.1002/9780471729259.mc01e05s27, 10.1002/0471250953.bi1007s36]
Lau SCK, 2005, AQUAT MICROB ECOL, V38, P41, DOI 10.3354/ame038041
Lennon JT, 2007, APPL ENVIRON MICROB, V73, P2799, DOI 10.1128/AEM.02674-06
Littman RA, 2009, FEMS MICROBIOL ECOL, V68, P152, DOI 10.1111/j.1574-6941.2009.00666.x
Riveron-Enzastiga ML, 2016, SCI MAR, V80, P237, DOI 10.3989/scimar.04259.15B
Lovejoy C., 2011, MAR BIODIVERS, V41, P5, DOI [DOI 10.1007/s12526-010-0062-z, 10.1007/s12526-010-0062-z]
Lu J, 2001, FEMS MICROBIOL LETT, V205, P291, DOI 10.1016/S0378-1097(01)00493-1
Marteinsson VT, 2001, APPL ENVIRON MICROB, V67, P827, DOI 10.1128/AEM.67.2.827-833.2001
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
MEDINAACOSTA E, 1993, MOL BIOCHEM PARASIT, V59, P327, DOI 10.1016/0166-6851(93)90231-L
Meyer JL, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00893
Miñana-Galbis D, 2010, INT J SYST EVOL MICR, V60, P1600, DOI 10.1099/ijs.0.003699-0
Nunoura T, 2010, ARCH MICROBIOL, V192, P811, DOI 10.1007/s00203-010-0611-7
Okolodkov YB, 2007, AQUAT MICROB ECOL, V47, P223, DOI 10.3354/ame047223
Olapade OA, 2010, CAN J MICROBIOL, V56, P853, DOI [10.1139/W10-069, 10.1139/w10-069]
Ollivier B., 2003, WO Patent, Patent No. [2,004,055,173, A1, 2004055173]
Ortiz-Lozano L., 2006, THESIS U AUTONOMA BA, P121
Perez-Espana H, 2012, Recursos Acuaticos Costeros del Sureste, P581
PIELOU EC, 1966, J THEOR BIOL, V13, P131, DOI 10.1016/0022-5193(66)90013-0
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pokusaeva K, 2009, CENT EUR J BIOL, V4, P196, DOI 10.2478/s11535-009-0009-1
Ramirez-Galindo E., 2015, THESIS U VERACRUZANA, P59
Randall CJ, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0147493
Reshef L, 2006, ENVIRON MICROBIOL, V8, P2068, DOI 10.1111/j.1462-2920.2006.01148.x
Rodriguez-Gomez C.F., 2013, THESIS U VERACRUZANA, P74
Rohwer F, 2001, CORAL REEFS, V20, P85
Rohwer F, 2002, MAR ECOL PROG SER, V243, P1, DOI 10.3354/meps243001
Rosenberg E, 2007, OCEANOGRAPHY, V20, P146, DOI 10.5670/oceanog.2007.60
Salas-Perez JJ, 2008, ATMOSFERA, V21, P281
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
SETO D, 1990, NUCLEIC ACIDS RES, V18, P5905, DOI 10.1093/nar/18.19.5905
Shannon C E., 1963, The mathematical theory of communication
Stöhr R, 2001, INT J SYST EVOL MICR, V51, P481, DOI 10.1099/00207713-51-2-481
Takai K, 2006, INT J SYST EVOL MICR, V56, P1921, DOI 10.1099/ijs.0.64297-0
Tello-Musi J., 2009, INFORME FINAL SNIB C
Teske A, 2002, APPL ENVIRON MICROB, V68, P1994, DOI 10.1128/AEM.68.4.1994-2007.2002
Tucker G.S., 2011, ESSENTIALS THERMAL P, P257
Vartoukian SR, 2010, FEMS MICROBIOL LETT, V309, P1, DOI 10.1111/j.1574-6968.2010.02000.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Ventosa A, 1998, MICROBIOL MOL BIOL R, V62, P504, DOI 10.1128/MMBR.62.2.504-544.1998
Wang J, 2010, TOXICON, V56, P640, DOI 10.1016/j.toxicon.2010.05.011
Webb TJ, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010223
Wegley L, 2007, ENVIRON MICROBIOL, V9, P2707, DOI 10.1111/j.1462-2920.2007.01383.x
Wright JJ, 2014, ISME J, V8, P455, DOI 10.1038/ismej.2013.152
Yoon JH, 2003, INT J SYST EVOL MICR, V53, P595, DOI 10.1099/ijs.0.02132-0
Zinger L, 2012, MOL ECOL, V21, P1878, DOI 10.1111/j.1365-294X.2011.05362.x
NR 81
TC 3
Z9 3
PD MAR
PY 2021
VL 9
IS 3
AR 619
DI 10.3390/microorganisms9030619
UT WOS:000633901700001
DA 2025-07-30
ER
PT J
AU Moopantakath, J
Imchen, M
Kumavath, R
Martínez-Espinosa, RM
AF Moopantakath, Jamseel
Imchen, Madangchanok
Kumavath, Ranjith
Maria Martinez-Espinosa, Rosa
TI Ubiquitousness of Haloferax and Carotenoid Producing Genes in
Arabian Sea Coastal Biosystems of India
SO MARINE DRUGS
DT Article
AB This study presents a comparative analysis of halophiles from the global open sea and coastal biosystems through shotgun metagenomes (n = 209) retrieved from public repositories. The open sea was significantly enriched with Prochlorococcus and Candidatus pelagibacter. Meanwhile, coastal biosystems were dominated by Marinobacter and Alcanivorax. Halophilic archaea Haloarcula and Haloquandratum, predominant in the coastal biosystem, were significantly (p < 0.05) enriched in coastal biosystems compared to the open sea. Analysis of whole genomes (n = 23,540), retrieved from EzBioCloud, detected crtI in 64.66% of genomes, while cruF was observed in 1.69% Bacteria and 40.75% Archaea. We further confirmed the viability and carotenoid pigment production by pure culture isolation (n = 1351) of extreme halophiles from sediments (n = 410 x 3) sampling at the Arabian coastline of India. All red-pigmented isolates were represented exclusively by Haloferax, resistant to saturated NaCl (6 M), and had >60% G + C content. Multidrug resistance to tetracycline, gentamicin, ampicillin, and chloramphenicol were also observed. Our study showed that coastal biosystems could be more suited for bioprospection of halophiles rather than the open sea.
C1 [Moopantakath, Jamseel; Imchen, Madangchanok; Kumavath, Ranjith] Cent Univ Kerala, Sch Biol Sci, Dept Genom Sci, Tejaswini Hills, Periye 671320, Kerala, India.
[Maria Martinez-Espinosa, Rosa] Univ Alicante, Fac Sci, Agrochem & Biochem Dept, Biochem & Mol Biol Div, Ap 99, E-03080 Alicante, Spain.
[Maria Martinez-Espinosa, Rosa] Univ Alicante, Multidisciplinary Inst Environm Studies Ramon Mar, Ap 99, E-03080 Alicante, Spain.
RP Kumavath, R (corresponding author), Cent Univ Kerala, Sch Biol Sci, Dept Genom Sci, Tejaswini Hills, Periye 671320, Kerala, India.
EM mailforjamseel@gmail.com; anokimchen@gmail.com;
RNKumavath@cukerala.ac.in; rosa.martinez@ua.es
CR Alsafadi D, 2017, NEW BIOTECHNOL, V34, P47, DOI 10.1016/j.nbt.2016.05.003
Altenbach AV, 2012, CELL ORIG LIFE EXTRE, V21, P1, DOI 10.1007/978-94-007-1896-8
Ambati RR, 2014, MAR DRUGS, V12, P128, DOI 10.3390/md12010128
Amoozegar MA, 2013, INT J SYST EVOL MICR, V63, P3232, DOI 10.1099/ijs.0.050500-0
[Anonymous], 2015, DIVERSITY DYNAMICS F
[Anonymous], R PACKAGE VERSION
Arahal DR, 2001, INT J SYST EVOL MICR, V51, P1443, DOI 10.1099/00207713-51-4-1443
Arai S, 2020, ACTA CRYSTALLOGR D, V76, P73, DOI 10.1107/S2059798319015894
Ask J, 2016, AMBIO, V45, P635, DOI 10.1007/s13280-016-0778-5
Assar A, 2020, ENVIRON SCI POLLUT R, V27, P21292, DOI 10.1007/s11356-020-08534-5
Astriani Meli, 2020, Biodiversitas: Journal of Biological Diversity, V21, P578, DOI 10.13057/biodiv/d210220
Baldwin AH, 1998, AQUAT BOT, V61, P255, DOI 10.1016/S0304-3770(98)00073-4
Barbosa DC, 2006, J MICROBIOL BIOTECHN, V16, P193
Bernstein PS, 2016, PROG RETIN EYE RES, V50, P34, DOI 10.1016/j.preteyeres.2015.10.003
Bogacz-Radomska L, 2020, CAROTENOIDS: PROPERTIES, PROCESSING AND APPLICATIONS, P327, DOI 10.1016/B978-0-12-817067-0.00010-5
Bolhuis H, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-3892-2
Bonete Maria Jose, 2008, Saline Syst, V4, P9, DOI 10.1186/1746-1448-4-9
Calegari-Santos R, 2016, CURR MICROBIOL, V72, P641, DOI 10.1007/s00284-015-0974-8
Chauhan M, 2013, APPL BIOCHEM BIOTECH, V171, P1429, DOI 10.1007/s12010-013-0433-6
Chen CW, 2015, BIOPROC BIOSYST ENG, V38, P2361, DOI 10.1007/s00449-015-1471-y
Chen QL, 2016, ENVIRON INT, V92-93, P1, DOI 10.1016/j.envint.2016.03.026
Chernikova TN, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.572931
Choi EJ, 2015, CHEM BIOL, V22, P1270, DOI 10.1016/j.chembiol.2015.07.014
COURVALIN P, 1994, ANTIMICROB AGENTS CH, V38, P1447, DOI 10.1128/AAC.38.7.1447
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
DasSarma S, 2020, EXTREMOPHILES, V24, P31, DOI 10.1007/s00792-019-01126-3
Carvalho CCCR, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00093
de la Calle F, 2017, MICROB BIOTECHNOL, V10, P1293, DOI 10.1111/1751-7915.12882
Ding R, 2019, SYNTHETIC COMMUN, V49, P3001, DOI 10.1080/00397911.2019.1652914
DSouza SE, 1997, ARCH MICROBIOL, V168, P68, DOI 10.1007/s002030050471
Du MZ, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25364-1
Egusa EA, 2018, J MICROBIOL BIOL EDU, V19, DOI 10.1128/jmbe.v19i3.1682
Ehlers S., 2020, Staphylococcus saprophyticus
Erdogmus SF, 2015, EKOLOJI, V24, P10, DOI 10.5053/ekoloji.2015.942
Esau L, 2019, BMC COMPLEM ALTERN M, V19, DOI 10.1186/s12906-019-2554-0
Estrada M, 2004, FEMS MICROBIOL ECOL, V49, P281, DOI 10.1016/j.femsec.2004.04.002
Fang W, 2019, BIOTECHNOL BIOFUELS, V12, DOI 10.1186/s13068-019-1432-9
Fathepure BZ, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00173
Fong NJC, 2001, APPL MICROBIOL BIOT, V56, P750, DOI 10.1007/s002530100739
Fresia P, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0648-z
Giani M, 2021, MAR DRUGS, V19, DOI 10.3390/md19020100
Giani M, 2020, ANTIOXIDANTS-BASEL, V9, DOI 10.3390/antiox9111060
Giani M, 2020, MOLECULES, V25, DOI 10.3390/molecules25051197
Giani M, 2019, MAR DRUGS, V17, DOI 10.3390/md17090524
Gonzalez JM, 2002, ENVIRON MICROBIOL, V4, P770, DOI 10.1046/j.1462-2920.2002.00362.x
Griffin DW, 2020, ANTIBIOTICS-BASEL, V9, DOI 10.3390/antibiotics9030118
Gutierrez MC, 2002, EXTREMOPHILES, V6, P479, DOI 10.1007/s00792-002-0282-7
Gutierrez T, 2020, APPL MICROBIOL BIOT, V104, P1063, DOI 10.1007/s00253-019-10270-x
Hallsworth JE, 2019, NAT ECOL EVOL, V3, P1503, DOI 10.1038/s41559-019-1021-0
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Han R, 2017, CAN J MICROBIOL, V63, P895, DOI 10.1139/cjm-2016-0773
Haque RU, 2020, APPL MICROBIOL BIOT, V104, P1371, DOI 10.1007/s00253-019-10314-2
Haque RU, 2019, APPL MICROBIOL BIOT, V103, P3807, DOI 10.1007/s00253-019-09725-y
Hartman AL, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009605
Hegazy GE, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-62663-y
Hermsen ED, 2020, ADV THER, V37, P918, DOI 10.1007/s12325-019-01203-1
Hou J, 2018, CURR MICROBIOL, V75, P266, DOI 10.1007/s00284-017-1374-z
Imchen M, 2019, MICROORGANISMS, V7, DOI 10.3390/microorganisms7120678
Imchen M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-29521-4
Indira D., 2018, MICROBIAL BIOTECHNOL, P171, DOI [10.1007/978-981-10-7140-9_9, DOI 10.1007/978-981-10-7140-9_9]
Islam MS, 2004, MAR POLLUT BULL, V48, P624, DOI 10.1016/j.marpolbul.2003.12.004
Jamal MT, 2022, POLYCYCL AROMAT COMP, V42, P400, DOI 10.1080/10406638.2020.1735456
Jensen MW, 2015, EXTREMOPHILES, V19, P315, DOI 10.1007/s00792-014-0716-z
Jones Daniel L., 2016, Life-Basel, V6, P37, DOI 10.3390/life6030037
Jyoti, 2014, ADV BIOL, V2014, P1, DOI [10.1155/2014/837891, DOI 10.1155/2014/837891]
Kasai Y, 2002, ENVIRON MICROBIOL, V4, P141, DOI 10.1046/j.1462-2920.2002.00275.x
Keesing J., 2020, INT J MOL SCI, V34, P11
Khan SA, 2020, INT J SYST EVOL MICR, V70, P2254, DOI 10.1099/ijsem.0.004005
Kim JG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221408
Kumar SP, 1999, J GEOPHYS RES-OCEANS, V104, P1455, DOI 10.1029/1998JC900022
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Kumar S, 2016, AIMS MICROBIOL, V2, P1, DOI 10.3934/microbiol.2016.1.1
Leiva S, 2015, FEMS MICROBIOL LETT, V362, DOI 10.1093/femsle/fnv206
Li X, 2012, FEMS MICROBIOL LETT, V329, P204, DOI 10.1111/j.1574-6968.2012.02522.x
Lim JM, 2005, INT J SYST EVOL MICR, V55, P165, DOI 10.1099/ijs.0.63315-0
Llamas I, 2011, INT J SYST EVOL MICR, V61, P2508, DOI 10.1099/ijs.0.026369-0
Logan NA, 2012, J APPL MICROBIOL, V112, P417, DOI 10.1111/j.1365-2672.2011.05204.x
Long MR, 2013, ANTON LEEUW INT J G, V103, P997, DOI 10.1007/s10482-013-9879-3
Lu YL, 2018, ENVIRON POLLUT, V239, P670, DOI 10.1016/j.envpol.2018.04.016
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mena C, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01749
Mendis HC, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0193119
Metsalu T, 2015, NUCLEIC ACIDS RES, V43, pW566, DOI 10.1093/nar/gkv468
Mishra S, 2021, FEMS MICROBIOL LETT, V368, DOI 10.1093/femsle/fnab025
Moopantakath J, 2020, SCI TOTAL ENVIRON, V743, DOI 10.1016/j.scitotenv.2020.140699
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Mouhamad R. S., 2014, International Journal of Chemical and Biochemical Sciences, V6, P68
Mukherjee A, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.00370-16
Naziri D, 2014, ADV PHARM BULL, V4, P61, DOI 10.5681/apb.2014.010
Oren A, 2015, CURR OPIN BIOTECH, V33, P119, DOI 10.1016/j.copbio.2015.02.005
Oren A, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00315
Osman O, 2010, J APPL MICROBIOL, V108, P1459, DOI 10.1111/j.1365-2672.2009.04574.x
Oueriaghli N, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01377
Pais J, 2016, NEW BIOTECHNOL, V33, P224, DOI 10.1016/j.nbt.2015.06.001
Palidwor GA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013431
Pan CC, 2013, EUR J SOIL BIOL, V55, P13, DOI 10.1016/j.ejsobi.2012.09.009
Paul S, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-4-r70
Phillips Kristen, 2012, Aquat Biosyst, V8, P5, DOI 10.1186/2046-9063-8-5
Pratap R, 2020, MICROBIAL VERSATILIT
Rai AK, 2016, J BACTERIOL, V198, P2955, DOI 10.1128/JB.00460-16
REPETA DJ, 1982, NATURE, V295, P51, DOI 10.1038/295051a0
Rodrigo-Baños M, 2015, MAR DRUGS, V13, P5508, DOI 10.3390/md13095508
Rodriguez-Moya J, 2013, APPL ENVIRON MICROB, V79, P1018, DOI 10.1128/AEM.02774-12
Furlan JPR, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138100
Sagar S, 2013, BMC COMPLEM ALTERN M, V13, DOI 10.1186/1472-6882-13-344
Saralov AI, 2013, EXTREMOPHILES, V17, P499, DOI 10.1007/s00792-013-0534-8
Sato Y, 2019, ANTON LEEUW INT J G, V112, P187, DOI 10.1007/s10482-018-1144-3
SHINDE VD, 2016, J APPL PHARMACOL, V6, P132, DOI [10.7324/JAPS.2016.601018, DOI 10.7324/JAPS.2016.601018]
Sibero MT, 2019, INT AQUAT RES, V11, P173, DOI 10.1007/s40071-019-0227-8
Simó-Cabrera L, 2021, MAR DRUGS, V19, DOI 10.3390/md19030159
Smarda P, 2014, P NATL ACAD SCI USA, V111, pE4096, DOI 10.1073/pnas.1321152111
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Steinmuller HE, 2020, SCI TOTAL ENVIRON, V738, DOI 10.1016/j.scitotenv.2020.139532
Stevens H, 2007, ENVIRON MICROBIOL, V9, P1810, DOI 10.1111/j.1462-2920.2007.01302.x
Susic N, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9050592
Thombre RS, 2016, SCI REP-UK, V6, DOI 10.1038/srep25642
Toulza E, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030931
Vaidya Varsha K, 2011, J Lab Physicians, V3, P37, DOI 10.4103/0974-2727.78563
Vargas Carmen, 2008, Saline Syst, V4, P14, DOI 10.1186/1746-1448-4-14
Ventosa A, 1998, MICROBIOL MOL BIOL R, V62, P504, DOI 10.1128/MMBR.62.2.504-544.1998
Wafar M, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0014613
Wang Y, 2019, ISME J, V13, P509, DOI 10.1038/s41396-018-0275-x
Whitman RL, 2014, REV ENVIRON SCI BIO, V13, P329, DOI 10.1007/s11157-014-9340-8
Xie XF, 2017, SCI TOTAL ENVIRON, V607, P1419, DOI 10.1016/j.scitotenv.2017.05.185
Xu XJ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02885
Yakovchuk P, 2006, NUCLEIC ACIDS RES, V34, P564, DOI 10.1093/nar/gkj454
Yang H, 2016, SCI REP-UK, V6, DOI 10.1038/srep20687
Yoon SH, 2017, INT J SYST EVOL MICR, V67, P1613, DOI 10.1099/ijsem.0.001755
Zalazar L, 2019, J APPL MICROBIOL, V126, P796, DOI 10.1111/jam.14160
NR 129
TC 6
Z9 6
PD AUG
PY 2021
VL 19
IS 8
AR 442
DI 10.3390/md19080442
UT WOS:000689585700001
DA 2025-07-30
ER
PT J
AU Kim, S
Kang, I
Seo, JH
Cho, JC
AF Kim, Suhyun
Kang, Ilnam
Seo, Ji-Hui
Cho, Jang-Cheon
TI Culturing the ubiquitous freshwater actinobacterial acI lineage by
supplying a biochemical 'helper' catalase
SO ISME JOURNAL
DT Article
AB The actinobacterial acI lineage is among the most successful and ubiquitous freshwater bacterioplankton found on all continents, often representing more than half of all microbial cells in the lacustrine environment and constituting multiple ecotypes. However, stably growing pure cultures of the acI lineage have not been established despite various cultivation efforts based on ecological and genomic studies on the lineage, which is in contrast to the ocean from which abundant microorganisms such as Prochlorococcus, Pelagibacter, and Nitrosopumilus have been isolated. Here, we report the first two pure cultures of the acI lineage successfully maintained by supplementing the growth media with catalase. Catalase was critical for stabilizing the growth of acI strains irrespective of the genomic presence of the catalase-peroxidase (katG) gene. The two strains, representing two novel species, displayed differential phenotypes and distinct preferences for reduced sulfurs and carbohydrates, some of which were difficult to predict based on genomic information. Our results suggest that culture of previously uncultured freshwater bacteria can be facilitated by a simple catalase-supplement method and indicate that genome-based metabolic prediction can be complemented by physiological analyses.
C1 [Kim, Suhyun; Kang, Ilnam; Seo, Ji-Hui; Cho, Jang-Cheon] Inha Univ, Dept Biol Sci, Incheon 22212, South Korea.
RP Cho, JC (corresponding author), Inha Univ, Dept Biol Sci, Incheon 22212, South Korea.
EM chojc@inha.ac.kr
CR Allgaier M, 2007, ENVIRON MICROBIOL, V9, P2728, DOI 10.1111/j.1462-2920.2007.01385.x
Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Berry MA, 2017, ENVIRON MICROBIOL, V19, P1149, DOI 10.1111/1462-2920.13640
Buck U, 2009, ENVIRON MICROBIOL, V11, P1854, DOI 10.1111/j.1462-2920.2009.01910.x
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cory RM, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00054
DAVIS HARRY C., 1958, U S FISH AND WILDLIFE SERV FISH BULL, V58, P293
Desagher S, 1997, J NEUROSCI, V17, P9060
Eckert EM, 2012, ENVIRON MICROBIOL, V14, P794, DOI 10.1111/j.1462-2920.2011.02639.x
Garcia SL, 2018, ISME J, V12, P742, DOI 10.1038/s41396-017-0001-0
Garcia SL, 2015, MOL ECOL, V24, P4449, DOI 10.1111/mec.13319
Garcia SL, 2014, ENV MICROBIOL REP, V6, P21, DOI 10.1111/1758-2229.12104
Garcia SL, 2013, ISME J, V7, P137, DOI 10.1038/ismej.2012.86
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Ghai R, 2012, ENV MICROBIOL REP, V4, P29, DOI 10.1111/j.1758-2229.2011.00274.x
Ghai R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023785
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Glorieux C, 2017, BIOL CHEM, V398, P1095, DOI 10.1515/hsz-2017-0131
Henson MW, 2018, LIMNOL OCEANOGR, V63, P1837, DOI 10.1002/lno.10811
Jezbera J, 2009, INT J SYST EVOL MICR, V59, P2864, DOI 10.1099/ijs.0.010199-0
Kang I, 2017, SCI REP-UK, V7, DOI 10.1038/srep42252
Kim JG, 2016, P NATL ACAD SCI USA, V113, P7888, DOI 10.1073/pnas.1605501113
Kim S, 2017, J MICROBIOL BIOTECHN, V27, P825, DOI 10.4014/jmb.1701.01047
King DW, 2007, ANAL CHEM, V79, P4169, DOI 10.1021/ac062228w
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Li JF, 2015, SCI REP-UK, V5, DOI 10.1038/srep15488
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Newton RJ, 2007, APPL ENVIRON MICROB, V73, P7169, DOI 10.1128/AEM.00794-07
Newton RJ, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01028
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Okazaki Y, 2016, ENV MICROBIOL REP, V8, P780, DOI 10.1111/1758-2229.12439
Parfenova VV, 2013, MICROBIOLOGY+, V82, P91, DOI 10.1134/S0026261713010128
Pérez MT, 2010, ENVIRON MICROBIOL, V12, P74, DOI 10.1111/j.1462-2920.2009.02043.x
Rappé MS, 2013, CURR OPIN MICROBIOL, V16, P618, DOI 10.1016/j.mib.2013.09.009
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rusak SA, 2010, MAR FRESHWATER RES, V61, P1147, DOI 10.1071/MF10001
Salcher MM, 2016, AQUAT MICROB ECOL, V77, P183, DOI 10.3354/ame01796
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Sasser M., 1990, Technical Note # 101, V101, P1
Satinsky BM, 2015, MICROBIOME, V3, DOI 10.1186/s40168-015-0099-0
Savio D, 2015, ENVIRON MICROBIOL, V17, P4994, DOI 10.1111/1462-2920.12886
Sharma AK, 2009, ISME J, V3, P726, DOI 10.1038/ismej.2009.13
Varma SD, 2007, MOL CELL BIOCHEM, V298, P199, DOI 10.1007/s11010-006-9352-y
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Zámocky M, 2012, ARCH BIOCHEM BIOPHYS, V525, P131, DOI 10.1016/j.abb.2012.01.017
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 56
TC 34
Z9 37
PD SEP
PY 2019
VL 13
IS 9
BP 2252
EP 2263
DI 10.1038/s41396-019-0432-x
UT WOS:000482118300010
DA 2025-07-30
ER
PT J
AU Wang, CX
Sobral, BW
Williams, KP
AF Wang, Chunxia
Sobral, Bruno W.
Williams, Kelly P.
TI Loss of a universal tRNA feature
SO JOURNAL OF BACTERIOLOGY
DT Article
AB tRNA His has thus far always been found with one of the most distinctive of tRNA features, an extra 5' nucleotide that is usually a guanylate. tRNA(His) genes in a disjoint alphaproteobacterial group comprising the Rhizobiales, Rhodobacterales, Caulobacterates, Parvularculales, and Pelagibacter generally fail to encode this extra guanylate, unlike those of other alphaproteobacteria and bacteria in general. Rather than adding an extra 5' guanylate posttranscriptionally as eukaryotes do, evidence is presented here that two of these species, Sinorhizobium meliloti and Caulobacter crescentus, simply lack any extra nucleotide on tRNA(His). This loss correlates with changes at the 3' end sequence of tRNA(His) and at many sites in histidyl-tRNA synthetase that might be expected to affect tRNA(His) recognition, in the Hipping loop, the insertion domain, the anticodon-binding domain, and the motif 2 loop. The altered tRNA charging system may have affected other tRNA charging systems in these bacteria; for example, a site in tRNA(Glu) sequences was found to covary with tRNA(His) among alphaproteobacteria.
C1 Virginia Polytech Inst & State Univ, Virginia Bioinformat Inst, Blacksburg, VA 24061 USA.
RP Williams, KP (corresponding author), Virginia Polytech Inst & State Univ, Virginia Bioinformat Inst, Blacksburg, VA 24061 USA.
EM kellwill@vt.edu
CR Aberg A, 1997, BIOCHEMISTRY-US, V36, P3084, DOI 10.1021/bi9618373
Ardell DH, 2006, NUCLEIC ACIDS RES, V34, P893, DOI 10.1093/nar/gkj449
Barnett MJ, 2004, P NATL ACAD SCI USA, V101, P16636, DOI 10.1073/pnas.0407269101
BLAKEMORE RP, 1979, J BACTERIOL, V140, P720, DOI 10.1128/JB.140.2.720-729.1979
Bond JP, 2000, J MOL EVOL, V50, P339, DOI 10.1007/s002399910037
Bovee ML, 1999, BIOCHEMISTRY-US, V38, P13725, DOI 10.1021/bi991182g
Briand C, 2000, J MOL BIOL, V299, P1051, DOI 10.1006/jmbi.2000.3819
BRUCE AG, 1978, NUCLEIC ACIDS RES, V5, P3665, DOI 10.1093/nar/5.10.3665
BURKARD U, 1988, J BIOL CHEM, V263, P2447
Connolly SA, 2004, BIOCHEMISTRY-US, V43, P962, DOI 10.1021/bi035708f
COOLEY L, 1982, P NATL ACAD SCI-BIOL, V79, P6475, DOI 10.1073/pnas.79.21.6475
CUSACK S, 1991, NUCLEIC ACIDS RES, V19, P3489, DOI 10.1093/nar/19.13.3489
Edgar RC, 2004, BMC BIOINFORMATICS, V5, P1, DOI 10.1186/1471-2105-5-113
Eiler S, 1999, EMBO J, V18, P6532, DOI 10.1093/emboj/18.22.6532
Finn RD, 2006, NUCLEIC ACIDS RES, V34, pD247, DOI 10.1093/nar/gkj149
FRANCKLYN C, 2005, AMINOACYL TRNA SYNTE
Fromant M, 2000, BIOCHEMISTRY-US, V39, P4062, DOI 10.1021/bi9923297
Gu WF, 2005, MOL CELL BIOL, V25, P8191, DOI 10.1128/MCB.25.18.8191-8201.2005
Gu WF, 2003, GENE DEV, V17, P2889, DOI 10.1101/gad.1148603
Guex N, 1997, ELECTROPHORESIS, V18, P2714, DOI 10.1002/elps.1150181505
Hawko SA, 2001, BIOCHEMISTRY-US, V40, P1930, DOI 10.1021/bi0025316
HIMENO H, 1989, NUCLEIC ACIDS RES, V17, P7855, DOI 10.1093/nar/17.19.7855
Jacob Y, 2004, RNA, V10, P605, DOI 10.1261/rna.5227904
KLEINA LG, 1990, J MOL BIOL, V213, P705, DOI 10.1016/S0022-2836(05)80257-8
LABBE D, 1990, J BIOL CHEM, V265, P2988
Laslett D, 2004, NUCLEIC ACIDS RES, V32, P11, DOI 10.1093/nar/gkh152
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Marck C, 2002, RNA, V8, P1189, DOI 10.1017/S1355838202022021
NAMEKI N, 1995, NUCLEIC ACIDS RES, V23, P389, DOI 10.1093/nar/23.3.389
ORELLANA O, 1986, MOL CELL BIOL, V6, P525, DOI 10.1128/MCB.6.2.525
Rosen AE, 2004, J AM CHEM SOC, V126, P64, DOI 10.1021/ja0381609
RUDINGER J, 1994, NUCLEIC ACIDS RES, V22, P5031, DOI 10.1093/nar/22.23.5031
Sällström B, 2005, CURR OPIN MICROBIOL, V8, P579, DOI 10.1016/j.mib.2005.08.002
Sankaranarayanan R, 1999, CELL, V97, P371, DOI 10.1016/S0092-8674(00)80746-1
Sauter C, 2000, J MOL BIOL, V299, P1313, DOI 10.1006/jmbi.2000.3791
Seetharaman M, 2003, NUCLEIC ACIDS RES, V31, P7311, DOI 10.1093/nar/gkg930
SPRINZL M, 1980, NUCLEIC ACIDS RES, V8, pR1
Sprinzl M, 2005, NUCLEIC ACIDS RES, V33, pD139, DOI 10.1093/nar/gki012
Varani G, 2000, EMBO REP, V1, P18, DOI 10.1093/embo-reports/kvd001
Yan W, 1996, BIOCHEMISTRY-US, V35, P6559, DOI 10.1021/bi952889f
YAN W, 1994, J BIOL CHEM, V269, P10022
YOKOBORI S, 1995, P NATL ACAD SCI USA, V92, P10432, DOI 10.1073/pnas.92.22.10432
NR 42
TC 31
Z9 33
PD MAR
PY 2007
VL 189
IS 5
BP 1954
EP 1962
DI 10.1128/JB.01203-06
UT WOS:000244462800051
DA 2025-07-30
ER
PT J
AU Géron, A
Werner, J
Wattiez, R
Lebaron, P
Matallana-Surget, S
AF Geron, Augustin
Werner, Johannes
Wattiez, Ruddy
Lebaron, Philippe
Matallana-Surget, Sabine
TI Deciphering the Functioning of Microbial Communities: Shedding Light on
the Critical Steps in Metaproteomics
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Unraveling the complex structure and functioning of microbial communities is essential to accurately predict the impact of perturbations and/or environmental changes. From all molecular tools available today to resolve the dynamics of microbial communities, metaproteomics stands out, allowing the establishment of phenotype-genotype linkages. Despite its rapid development, this technology has faced many technical challenges that still hamper its potential power. How to maximize the number of protein identification, improve quality of protein annotation, and provide reliable ecological interpretation are questions of immediate urgency. In our study, we used a robust metaproteomic workflow combining two protein fractionation approaches (gel-based versus gel-free) and four protein search databases derived from the same metagenome to analyze the same seawater sample. The resulting eight metaproteomes provided different outcomes in terms of (i) total protein numbers, (ii) taxonomic structures, and (iii) protein functions. The characterization and/or representativeness of numerous proteins from ecologically relevant taxa such as Pelagibacterales, Rhodobacterales, and Synechococcales, as well as crucial environmental processes, such as nutrient uptake, nitrogen assimilation, light harvesting, and oxidative stress response, were found to be particularly affected by the methodology. Our results provide clear evidences that the use of different protein search databases significantly alters the biological conclusions in both gel-free and gel-based approaches. Our findings emphasize the importance of diversifying the experimental workflow for a comprehensive metaproteomic study.
C1 [Geron, Augustin; Matallana-Surget, Sabine] Univ Stirling, Fac Nat Sci, Div Biol & Environm Sci, Stirling, Scotland.
[Geron, Augustin; Wattiez, Ruddy] Univ Mons, Dept Prote & Microbiol, Mons, Belgium.
[Werner, Johannes] Leibniz Inst Baltic Sea Res, Dept Biol Oceanog, Rostock, Germany.
[Lebaron, Philippe] UPMC Univ Paris 06, Sorbonne Univ, LBBM, USR 3579,Observ Oceanol, Banyuls Sur Mer, France.
RP Matallana-Surget, S (corresponding author), Univ Stirling, Fac Nat Sci, Div Biol & Environm Sci, Stirling, Scotland.
EM sabine.matallanasurget@stir.ac.uk
CR Absciex, 2014, UND PRO GROUPTM ALG
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bryson S, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00027-15
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Button DK, 2000, LIMNOL OCEANOGR, V45, P499, DOI 10.4319/lo.2000.45.2.0499
Cantarel BL, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027173
Deusch S, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01605
Dong HP, 2014, ENV MICROBIOL REP, V6, P683, DOI 10.1111/1758-2229.12188
Franzosa EA, 2015, NAT REV MICROBIOL, V13, P360, DOI 10.1038/nrmicro3451
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Gallois N, 2018, J PROTEOMICS, V177, P148, DOI 10.1016/j.jprot.2017.11.021
Galperin MY, 2015, NUCLEIC ACIDS RES, V43, pD1, DOI 10.1093/nar/gku1241
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Herbst FA, 2016, PROTEOMICS, V16, P783, DOI 10.1002/pmic.201500305
Heyer R, 2017, J BIOTECHNOL, V261, P24, DOI 10.1016/j.jbiotec.2017.06.1201
Hoch MP, 2006, LIMNOL OCEANOGR-METH, V4, P308, DOI 10.4319/lom.2006.4.308
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jagtap P, 2013, PROTEOMICS, V13, P1352, DOI 10.1002/pmic.201200352
Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
Kan Jinjun, 2005, Saline Syst, V1, P7, DOI 10.1186/1746-1448-1-7
Kanehisa M, 2019, NUCLEIC ACIDS RES, V47, pD590, DOI 10.1093/nar/gky962
Koonin EV, 2009, INT J BIOCHEM CELL B, V41, P298, DOI 10.1016/j.biocel.2008.09.015
Lacerda Carla M. R., 2009, Briefings in Functional Genomics & Proteomics, V8, P75, DOI 10.1093/bfgp/elp005
Leary DH, 2013, MOL CELL PROBE, V27, P193, DOI 10.1016/j.mcp.2013.06.003
Lund PA, 2009, FEMS MICROBIOL REV, V33, P785, DOI 10.1111/j.1574-6976.2009.00178.x
Ma J, 2019, NUCLEIC ACIDS RES, V47, pD1211, DOI 10.1093/nar/gky869
Maguire M, 2002, CELL STRESS CHAPERON, V7, P317, DOI 10.1379/1466-1268(2002)007<0317:CUISOC>2.0.CO;2
Matallana-Surget S., 2018, Metagenomics, P327, DOI [DOI 10.1016/B978-0-08-102268-9.00017-3, 10.1016/B978-0-08-102268-9.00017-3]
Matallana-Surget S, 2013, PROTEOMES, V1, DOI 10.3390/proteomes1020070
Matallana-Surget S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068112
May DH, 2016, J PROTEOME RES, V15, P2697, DOI 10.1021/acs.jproteome.6b00239
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Muth T, 2015, PROTEOMICS, V15, P3439, DOI 10.1002/pmic.201400560
Muth T, 2015, J PROTEOME RES, V14, P1557, DOI 10.1021/pr501246w
Nesvizhskii AI, 2010, J PROTEOMICS, V73, P2092, DOI 10.1016/j.jprot.2010.08.009
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Rechenberger J, 2019, PROTEOMES, V7, DOI 10.3390/proteomes7010002
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
Russo DA, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01172
Saito MA, 2019, J PROTEOME RES, V18, P1461, DOI 10.1021/acs.jproteome.8b00761
Saito MA, 2015, PROTEOMICS, V15, P3521, DOI 10.1002/pmic.201400630
Schneider T, 2011, PROTEOMICS, V11, P2752, DOI 10.1002/pmic.201000679
Serrano-Villar S, 2016, EBIOMEDICINE, V8, P203, DOI 10.1016/j.ebiom.2016.04.033
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Tanca A, 2016, MICROBIOME, V4, DOI 10.1186/s40168-016-0196-8
Tanca A, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0082981
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Timmins-Schiffman E, 2017, ISME J, V11, P309, DOI 10.1038/ismej.2016.132
Wang DZ, 2014, J PROTEOMICS, V97, P27, DOI 10.1016/j.jprot.2013.08.024
Werner J., 2019, MPIES NOVEL METAPROT, DOI [10.1101/690131, DOI 10.1101/690131]
Williams TJ, 2014, TRENDS MICROBIOL, V22, P248, DOI 10.1016/j.tim.2014.03.004
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wilmes P, 2004, ENVIRON MICROBIOL, V6, P911, DOI 10.1111/j.1462-2920.2004.00687.x
Wilmes P, 2015, PROTEOMICS, V15, P3409, DOI 10.1002/pmic.201500183
Wöhlbrand L, 2013, PROTEOMICS, V13, P2700, DOI 10.1002/pmic.201300175
Woodcroft B., 2018, Singlem
Woodger FJ, 2003, PLANT PHYSIOL, V133, P2069, DOI 10.1104/pp.103.029728
Zimmer DP, 2000, P NATL ACAD SCI USA, V97, P14674, DOI 10.1073/pnas.97.26.14674
NR 63
TC 15
Z9 16
PD OCT 24
PY 2019
VL 10
AR 2395
DI 10.3389/fmicb.2019.02395
UT WOS:000497430100001
DA 2025-07-30
ER
PT J
AU Sun, Y
Luo, HW
AF Sun, Ying
Luo, Haiwei
TI Homologous Recombination in Core Genomes Facilitates Marine Bacterial
Adaptation
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Acquisition of ecologically relevant genes is common among ocean bacteria, but whether it has a major impact on genome evolution in marine environments remains unknown. Here, we analyzed the core genomes of 16 phylogenetically diverse and ecologically relevant bacterioplankton lineages, each consisting of up to five genomes varying at the strain level. Statistical approaches identified from each lineage up to similar to 50 loci showing anomalously high divergence at synonymous sites, which is best explained by recombination with distantly related organisms. The enriched gene categories in these outlier loci match well with the characteristics previously identified as the key phenotypes of these lineages. Examples are antibiotic synthesis and detoxification in Phaeobacter inhibens, exopolysaccharide production in Alteromonas macleodii, hydrocarbon degradation in Marinobacter hydrocarbonoclasticus, and cold adaptation in Pseudo-alteromonas haloplanktis. Intriguingly, the outlier loci feature polysaccharide catabolism in Cellulophaga baltica but not in Cellulophaga lytica, consistent with their primary habitat preferences in macroalgae and beach sands, respectively. Likewise, analysis of Prochlorococcus showed that photosynthesis-related genes listed in the outlier loci are found only in the high-light-adapted ecotype and not in the low-light adapted ecotype. These observations strongly suggest that recombination with distant relatives is a key mechanism driving the ecological diversification among marine bacterial lineages.
IMPORTANCE Acquisition of new metabolic genes has been known as an important mechanism driving bacterial evolution and adaptation in the ocean, but acquisition of novel alleles of existing genes and its potential ecological role have not been examined. Guided by population genetic theories, our genomic analysis showed that divergent allele acquisition is prevalent in phylogenetically diverse marine bacterial lineages and that the affected loci often encode metabolic functions that underlie the known ecological roles of the lineages under study.
C1 [Luo, Haiwei] Chinese Univ Hong Kong, Simon FS Li Marine Sci Lab, Sch Life Sci, Shatin, Hong Kong, Peoples R China.
Chinese Univ Hong Kong, Partner State Key Lab Agrobiotechnol, Shatin, Hong Kong, Peoples R China.
RP Luo, HW (corresponding author), Chinese Univ Hong Kong, Simon FS Li Marine Sci Lab, Sch Life Sci, Shatin, Hong Kong, Peoples R China.
EM hluo2006@gmail.com
CR Agostinelli C, 1998, STAT PROBABIL LETT, V37, P341, DOI 10.1016/S0167-7152(97)00136-3
Aliyu H, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw032
Allard STM, 2001, J MOL BIOL, V307, P283, DOI 10.1006/jmbi.2000.4470
Alonso-Gutiérrez J, 2009, APPL ENVIRON MICROB, V75, P3407, DOI 10.1128/AEM.01776-08
Alterio V, 2010, BIOPOLYMERS, V93, P669, DOI 10.1002/bip.21420
[Anonymous], GAZETTEER SEAFLOOR F
Aussel L, 2014, BBA-BIOENERGETICS, V1837, P1004, DOI 10.1016/j.bbabio.2014.01.015
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Bruen TC, 2006, GENETICS, V172, P2665, DOI 10.1534/genetics.105.048975
Cai YH, 2009, FEBS J, V276, P3575, DOI 10.1111/j.1742-4658.2009.07077.x
Charrad M, 2014, J STAT SOFTW, V61, P1
Contreras-Moreira B, 2013, APPL ENVIRON MICROB, V79, P7696, DOI 10.1128/AEM.02411-13
Cude WN, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00336
D'Alvise PW, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043996
D'Haene SE, 2015, BBA-BIOENERGETICS, V1847, P1327, DOI 10.1016/j.bbabio.2015.07.003
Dahlberg C, 1998, APPL ENVIRON MICROB, V64, P2670
Daigle DM, 1997, J BIOL CHEM, V272, P24755, DOI 10.1074/jbc.272.40.24755
Engel P, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004596
Garcia MJP, 2013, APPL ENVIRON MICROB, V79, P5414, DOI 10.1128/AEM.01436-13
Gattis SG, 2013, J BIOL CHEM, V288, P9216, DOI 10.1074/jbc.M113.453324
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giraud MF, 2000, NAT STRUCT BIOL, V7, P398
Giraud MF, 1999, ACTA CRYSTALLOGR D, V55, P2043, DOI 10.1107/S0907444999012251
Goon S, 2003, MOL MICROBIOL, V50, P659, DOI 10.1046/j.1365-2958.2003.03725.x
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
Grimaud R, 2012, J BACTERIOL, V194, P3539, DOI 10.1128/JB.00500-12
Haverkamp THA, 2009, ISME J, V3, P397, DOI 10.1038/ismej.2008.118
He QF, 2001, J BIOL CHEM, V276, P306, DOI 10.1074/jbc.M008686200
Hehemann JH, 2014, CURR OPIN STRUC BIOL, V28, P77, DOI 10.1016/j.sbi.2014.07.009
Hellweger FL, 2018, ISME J, V12, P1180, DOI 10.1038/s41396-017-0023-7
Hoque MA, 2010, BIOSCI BIOTECH BIOCH, V74, P2124, DOI 10.1271/bbb.100393
Hughes AL, 2005, J BACTERIOL, V187, P2698, DOI 10.1128/JB.187.8.2698-2704.2005
Hughes AL, 2008, ANN NY ACAD SCI, V1133, P162, DOI 10.1196/annals.1438.001
Hughes AL, 2007, GENE, V387, P31, DOI 10.1016/j.gene.2006.08.003
Inoue Y, 1995, Adv Microb Physiol, V37, P177, DOI 10.1016/S0065-2911(08)60146-0
Jakoby W B, 1978, Adv Enzymol Relat Areas Mol Biol, V46, P383
Jiang SC, 1998, APPL ENVIRON MICROB, V64, P2780
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kolling GL, 1999, APPL ENVIRON MICROB, V65, P3761
Korithoski B, 2007, J BACTERIOL, V189, P7586, DOI 10.1128/JB.00754-07
Lamendella R, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00130
Lanfear R, 2017, MOL BIOL EVOL, V34, P772, DOI 10.1093/molbev/msw260
Lin MZ, 2017, GENETICS, V205, P891, DOI 10.1534/genetics.116.189621
Lindell D, 2005, NATURE, V438, P86, DOI 10.1038/nature04111
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Linhartová I, 2010, FEMS MICROBIOL REV, V34, P1076, DOI 10.1111/j.1574-6976.2010.00231.x
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
Luo HW, 2015, MOL BIOL EVOL, V32, P2738, DOI 10.1093/molbev/msv149
Luo HW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00191
Luo HW, 2014, ENV MICROBIOL REP, V6, P167, DOI 10.1111/1758-2229.12129
Luo HW, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.58
Markowitz VM, 2012, NUCLEIC ACIDS RES, V40, pD115, DOI 10.1093/nar/gkr1044
Martens EC, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001221
Martens EC, 2009, J BIOL CHEM, V284, P24673, DOI 10.1074/jbc.R109.022848
Matsuyama H, 2006, INT J SYST EVOL MICR, V56, P2883, DOI 10.1099/ijs.0.64413-0
McDaniel LD, 2010, SCIENCE, V330, P50, DOI 10.1126/science.1192243
Médigue C, 2005, GENOME RES, V15, P1325, DOI 10.1101/gr.4126905
Mehta A, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098798
Minkin Ilya, 2013, Algorithms in Bioinformatics. 13th International Workshop, WABI 2013. Proceedings: LNCS 8126, P215, DOI 10.1007/978-3-642-40453-5_17
Mounier J, 2014, FEMS MICROBIOL ECOL, V90, P816, DOI 10.1111/1574-6941.12439
Nwodo UU, 2012, INT J MOL SCI, V13, P14002, DOI 10.3390/ijms131114002
Overholt WA, 2013, GENOME ANNOUNCEMENTS, V1, DOI 10.1128/genomeA.01015-13
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Prol-García M, 2013, MAR BIOTECHNOL, V15, P726, DOI 10.1007/s10126-013-9521-4
Pruitt KD, 2007, NUCLEIC ACIDS RES, V35, pD61, DOI 10.1093/nar/gkl842
R Core Team, 2022, R LANG ENV STAT COMP
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Rumbo C, 2011, ANTIMICROB AGENTS CH, V55, P3084, DOI 10.1128/AAC.00929-10
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Samuel G, 2003, CARBOHYD RES, V338, P2503, DOI 10.1016/j.carres.2003.07.009
Sheehan D, 2001, BIOCHEM J, V360, P1, DOI 10.1042/0264-6021:3600001
Sinaei M, 2013, B ENVIRON CONTAM TOX, V90, P369, DOI 10.1007/s00128-012-0917-z
Six C, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-12-r259
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
STEWART GJ, 1990, APPL ENVIRON MICROB, V56, P1818, DOI 10.1128/AEM.56.6.1818-1824.1990
Stoddard LI, 2007, APPL ENVIRON MICROB, V73, P5516, DOI 10.1128/AEM.00356-07
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Trent MS, 2001, J BIOL CHEM, V276, P9083, DOI 10.1074/jbc.M010730200
Vetriani C, 2005, APPL ENVIRON MICROB, V71, P220, DOI 10.1128/AEM.71.1.220-226.2005
Vos M, 2009, TRENDS MICROBIOL, V17, P226, DOI 10.1016/j.tim.2009.03.001
Zhang Zhang, 2006, Genomics Proteomics & Bioinformatics, V4, P259, DOI 10.1016/S1672-0229(07)60007-2
Zhang ZL, 2014, CURR MICROBIOL, V68, P751, DOI 10.1007/s00284-014-0520-0
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhilenkov EL, 2006, VIROL J, V3, DOI 10.1186/1743-422x-3-50
NR 86
TC 15
Z9 17
PD JUN
PY 2018
VL 84
IS 11
AR e02545-17
DI 10.1128/AEM.02545-17
UT WOS:000432467000017
DA 2025-07-30
ER
PT J
AU Biller, SJ
Ryan, MG
Li, J
Burger, A
Eppley, JM
Hackl, T
Delong, EF
AF Biller, Steven J.
Ryan, M. Gray
Li, Jasmine
Burger, Andrew
Eppley, John M.
Hackl, Thomas
Delong, Edward F.
TI Distinct horizontal gene transfer potential of extracellular vesicles
versus viral-like particles in marine habitats
SO NATURE COMMUNICATIONS
DT Article
AB Horizontal gene transfer (HGT) is enabled in part through the movement of DNA within two broad groups of small (<0.2 m), diffusible nanoparticles: extracellular vesicles (EVs) and virus-like particles (VLPs; including viruses, gene transfer agents, and phage satellites). The information enclosed within these structures represents a substantial portion of the HGT potential available in planktonic ecosystems, but whether some genes might be preferentially transported through one type of nanoparticle versus another is unknown. Here we use long-read sequencing to compare the genetic content of EVs and VLPs from the oligotrophic North Pacific. Fractionated EV-enriched and VLP-enriched subpopulations contain diverse DNA from the surrounding microbial community, but differ in their capacity and encoded functions. The sequences carried by both particle types are enriched in mobile genetic elements (MGEs) as compared with other cellular chromosomal regions, and we highlight how this property enables novel MGE discovery. Examining the Pelagibacter mobilome reveals >7200 distinct chromosomal fragments and MGEs, many differentially partitioned between EVs and VLPs. Together these results suggest that distinctions in nanoparticle contents contribute to the mode and trajectory of microbial HGT networks and evolutionary dynamics in natural habitats.
C1 [Biller, Steven J.; Ryan, M. Gray; Li, Jasmine] Wellesley Coll, Dept Biol Sci, Wellesley, MA 02481 USA.
[Burger, Andrew; Eppley, John M.; Delong, Edward F.] Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog Res & Educ C, Dept Oceanog, Honolulu, HI USA.
[Hackl, Thomas] Univ Groningen, Groningen Inst Evolutionary Life Sci, Groningen, Netherlands.
RP Biller, SJ (corresponding author), Wellesley Coll, Dept Biol Sci, Wellesley, MA 02481 USA.
EM sbiller@wellesley.edu
CR Abe K, 2020, FEMS MICROBIOL ECOL, V96, DOI 10.1093/femsec/fiaa031
Aktar S, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.747606
Aramaki T, 2020, BIOINFORMATICS, V36, P2251, DOI 10.1093/bioinformatics/btz859
Barcia-Cruz R, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-44965-1
Beaulaurier J, 2020, GENOME RES, V30, P437, DOI 10.1101/gr.251686.119
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Biller SJ, 2022, ENVIRON MICROBIOL, V24, P420, DOI 10.1111/1462-2920.15834
Biller SJ, 2017, ISME J, V11, P394, DOI 10.1038/ismej.2016.134
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Bitto NJ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-07288-4
Brown CL, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.00991-22
Camargo AP, 2024, NAT BIOTECHNOL, V42, DOI 10.1038/s41587-023-01953-y
Cantalapiedra CP, 2021, MOL BIOL EVOL, V38, P5825, DOI 10.1093/molbev/msab293
Chan PP, 2021, NUCLEIC ACIDS RES, V49, P9077, DOI 10.1093/nar/gkab688
Clokie MRJ, 2003, FEMS MICROBIOL ECOL, V46, P349, DOI 10.1016/S0168-6496(03)00247-2
Coelho LP, 2022, NATURE, V601, P252, DOI 10.1038/s41586-021-04233-4
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Cook R, 2021, PHAGE-THER APPL RES, V2, P214, DOI 10.1089/phage.2021.0007
Csardi G., 2006, Complex Syst, V1695, P1
Deatherage BL, 2012, INFECT IMMUN, V80, P1948, DOI 10.1128/IAI.06014-11
Dubnau D, 2019, ANNU REV GENET, V53, P217, DOI 10.1146/annurev-genet-112618-043641
Eppley JM, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2212722119
Erdmann S, 2017, NAT MICROBIOL, V2, P1446, DOI 10.1038/s41564-017-0009-2
Flamholz ZN, 2024, NAT MICROBIOL, V9, P657, DOI 10.1038/s41564-023-01584-8
Fontanez KM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00469
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Gillings MR, 2017, ANN NY ACAD SCI, V1389, P20, DOI 10.1111/nyas.13213
Glasner ME, 2020, FEBS J, V287, P1323, DOI 10.1111/febs.15185
Hackl T, 2021, bioRxiv, DOI [10.1101/2021.08.23.457338, 10.1101/2021.08.23.457338, DOI 10.1101/2021.08.23.457338]
Hackl T, 2024, Arxiv, DOI [arXiv:2411.13556, DOI 10.48550/ARXIV.2411.13556, 10.48550/arXiv.2411.13556]
Hackl T, 2023, CELL, V186, P47, DOI 10.1016/j.cell.2022.12.006
Hagemanna S, 2014, J BASIC MICROB, V54, P1062, DOI 10.1002/jobm.201300376
Hehemann JH, 2010, NATURE, V464, P908, DOI 10.1038/nature08937
Holmfeldt K, 2007, APPL ENVIRON MICROB, V73, P6730, DOI 10.1128/AEM.01399-07
Huerta-Cepas J, 2019, NUCLEIC ACIDS RES, V47, pD309, DOI 10.1093/nar/gky1085
Humphrey S, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26004-5
Hurwitz BL, 2016, CURR OPIN MICROBIOL, V31, P161, DOI 10.1016/j.mib.2016.04.002
Hwang Y, 2023, NAT MICROBIOL, V8, P946, DOI 10.1038/s41564-023-01347-5
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Johnston EL, 2023, MICROBIOL SPECTR, V11, DOI 10.1128/spectrum.05179-22
Karberg KA, 2011, P NATL ACAD SCI USA, V108, P20154, DOI 10.1073/pnas.1109451108
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kauffman KM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-021-27583-z
Kauffman KM, 2018, NATURE, V554, P118, DOI 10.1038/nature25474
Koonin EV, 2021, MICROBIOL MOL BIOL R, V85, DOI 10.1128/MMBR.00193-20
Koonin Eugene V, 2016, F1000Res, V5, DOI 10.12688/f1000research.8737.1
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Laurenceau R, 2021, ISME J, V15, P129, DOI 10.1038/s41396-020-00766-0
Lerat E, 2005, PLOS BIOL, V3, P807, DOI 10.1371/journal.pbio.0030130
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Li H, 2018, BIOINFORMATICS, V34, P3094, DOI 10.1093/bioinformatics/bty191
Linney MD, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.02093-21
Linney MD, 2021, LIMNOL OCEANOGR-METH, V19, P210, DOI 10.1002/lom3.10415
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
López-Pérez M, 2014, FRONT GENET, V5, DOI 10.3389/fgene.2014.00147
Lücking D, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00317-6
Mandal PK, 2021, MICROBIOL-SGM, V167, DOI 10.1099/mic.0.001021
Manning AJ, 2011, BMC MICROBIOL, V11, DOI 10.1186/1471-2180-11-258
McDaniel LD, 2010, SCIENCE, V330, P50, DOI 10.1126/science.1192243
Moulin C, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24021036
Munson-McGee JH, 2022, NATURE, V612, P764, DOI 10.1038/s41586-022-05505-3
Nagies FSP, 2020, PLOS GENET, V16, DOI 10.1371/journal.pgen.1009200
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Nazarian P, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02978
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Ochman H, 2000, NATURE, V405, P299, DOI 10.1038/35012500
Oksanen, 2022, VEGAN COMMUNITY ECOL
Oliveira PH, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00808-w
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parks DH, 2020, NAT BIOTECHNOL, V38, P1079, DOI 10.1038/s41587-020-0501-8
Paysan-Lafosse T, 2023, NUCLEIC ACIDS RES, V51, pD418, DOI 10.1093/nar/gkac993
Pelve EA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02269
Pérez-Cruz C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116896
PIELOU EC, 1966, J THEOR BIOL, V13, P131, DOI 10.1016/0022-5193(66)90013-0
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Rodriguez-Valera F, 2016, CURR OPIN MICROBIOL, V31, P154, DOI 10.1016/j.mib.2016.03.014
Sjöström AE, 2015, SCI REP-UK, V5, DOI 10.1038/srep15329
Smillie CS, 2011, NATURE, V480, P241, DOI 10.1038/nature10571
Smyshlyaev G, 2021, MOL SYST BIOL, V17, DOI 10.15252/msb.20209880
Steinegger M, 2017, NAT BIOTECHNOL, V35, P1026, DOI 10.1038/nbt.3988
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tashiro Y, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00571
Terzian P, 2021, NAR GENOM BIOINFORM, V3, DOI 10.1093/nargab/lqab067
Tettelin H, 2008, CURR OPIN MICROBIOL, V11, P472, DOI 10.1016/j.mib.2008.09.006
Toyofuku M, 2023, NAT REV MICROBIOL, V21, P415, DOI 10.1038/s41579-023-00875-5
Toyofuku M, 2019, NAT REV MICROBIOL, V17, P13, DOI 10.1038/s41579-018-0112-2
Tully BJ, 2017, PEERJ, V5, DOI 10.7717/peerj.3558
Turnbull L, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11220
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Welch RA, 2002, P NATL ACAD SCI USA, V99, P17020, DOI 10.1073/pnas.252529799
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Wickham H., 2019, J OPEN SOURCE SOFTWA, V4, P1686, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
Yaron S, 2000, APPL ENVIRON MICROB, V66, P4414, DOI 10.1128/AEM.66.10.4414-4420.2000
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
NR 96
TC 1
Z9 1
PD MAR 3
PY 2025
VL 16
IS 1
AR 2126
DI 10.1038/s41467-025-57276-w
UT WOS:001437303700029
DA 2025-07-30
ER
PT J
AU Steinman, M
Schmid, MS
Cowen, RK
Sponaugle, S
Sutherland, KR
Thompson, AW
AF Steinman, Melissa
Schmid, Moritz S.
Cowen, Robert K.
Sponaugle, Su
Sutherland, Kelly R.
Thompson, Anne W.
TI The microorganisms associated with doliolids in a productive coastal
upwelling system
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Doliolids have a unique ability to impact the marine microbial community through bloom events and filter feeding. Their predation on large eukaryotic microorganisms is established and evidence of predation on smaller prokaryotic microorganisms is beginning to emerge. We studied the association between microorganisms and wild-caught doliolids in the Northern California Current system. Doliolids were collected during bloom events identified at three different shelf locations with variable upwelling intensity. We discovered doliolids were associated with a range of prokaryotic microbial functional groups, which included free-living pelagic Archaea, SAR11, and picocyanobacteria. The results suggest the possibility that doliolids could feed on the smallest members of the microbial community, expanding our understanding of doliolid feeding and microbial mortality. Given the ability of doliolids to clear large portions of seawater by filtration and their high abundance in this system, we suggest that doliolids could be an important player in shaping the microbial community structure of the Northern California Current system.
C1 [Steinman, Melissa; Thompson, Anne W.] Portland State Univ, Dept Biol, Portland, OR 97201 USA.
[Schmid, Moritz S.; Cowen, Robert K.] Oregon State Univ, Hatfield Marine Sci Ctr, Newport, OR USA.
[Sponaugle, Su] Oregon State Univ, Dept Integrat Biol, Newport, OR USA.
[Sutherland, Kelly R.] Univ Oregon, Oregon Inst Marine Biol, Eugene, OR USA.
RP Thompson, AW (corresponding author), Portland State Univ, Dept Biol, Portland, OR 97201 USA.
EM awt@pdx.edu
CR Ahlgren NA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00213
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Ayuningrum D, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0213797
Bayer B, 2019, INT J SYST EVOL MICR, V69, P1892, DOI 10.1099/ijsem.0.003360
Bone Q, 1997, J EXP MAR BIOL ECOL, V214, P179, DOI 10.1016/S0022-0981(97)00001-4
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Checkley DM, 2009, PROG OCEANOGR, V83, P49, DOI 10.1016/j.pocean.2009.07.028
Cowen RK, 2008, LIMNOL OCEANOGR-METH, V6, P126, DOI 10.4319/lom.2008.6.126
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
CROCKER KM, 1991, J PLANKTON RES, V13, P77, DOI 10.1093/plankt/13.1.77
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
DEIBEL D, 1982, J PLANKTON RES, V4, P189, DOI 10.1093/plankt/4.2.189
Dishaw LJ, 2012, FRONT IMMUNOL, V3, DOI 10.3389/fimmu.2012.00096
Doré H, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.567431
Farell Eric M, 2012, BMC Res Notes, V5, P257, DOI 10.1186/1756-0500-5-257
Follett CL, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2110993118
Frischer ME, 2021, LIMNOL OCEANOGR, V66, P1993, DOI 10.1002/lno.11740
Gibson DM, 2000, J PLANKTON RES, V22, P1485, DOI 10.1093/plankt/22.8.1485
Gloor GB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02224
Greer AT, 2023, LIMNOL OCEANOGR, V68, P192, DOI 10.1002/lno.12259
Guigand CM, 2005, MAR TECHNOL SOC J, V39, P22, DOI 10.4031/002533205787444042
Guillou L, 2001, AQUAT MICROB ECOL, V26, P201, DOI 10.3354/ame026201
Harmon JP, 2004, BIOCONTROL, V49, P605, DOI 10.1007/s10526-004-0420-5
Houwenhuyse S, 2021, ISME J, V15, P2401, DOI 10.1038/s41396-021-00940-y
Katechakis A, 2004, J PLANKTON RES, V26, P589, DOI 10.1093/plankt/fbh062
Katechakis A, 2002, MAR ECOL PROG SER, V234, P55, DOI 10.3354/meps234055
Kiorboe T, 2013, LIMNOL OCEANOGR, V58, P1843, DOI 10.4319/lo.2013.58.5.1843
Köster M, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10091293
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Moisander PH, 2008, ISME J, V2, P954, DOI 10.1038/ismej.2008.51
Paerl H.W., 1999, MARINE CYANOBACTERIA, P319
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pereira TJ, 2023, MOL ECOL, V32, P6564, DOI 10.1111/mec.16668
Prodan A, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0227434
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Robison BH, 2005, J MAR BIOL ASSOC UK, V85, P655, DOI 10.1017/S0025315405011586
Schmid MS, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1166629
Schmid MS, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1187771
Sherr EB, 2005, DEEP-SEA RES PT II, V52, P317, DOI 10.1016/j.dsr2.2004.09.020
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Sullivan LJ, 2011, TREATISE ON ESTUARINE AND COASTAL SCIENCE, VOL 6: TROPHIC RELATIONSHIPS OF COASTAL AND ESTUARINE ECOSYSTEMS, P127
Sutherland KR, 2022, LIMNOL OCEANOGR, V67, P102, DOI 10.1002/lno.11979
Taylor AG, 2015, DEEP-SEA RES PT II, V112, P117, DOI 10.1016/j.dsr2.2014.02.006
Thompson A. R., 2019, CAICOFI, V60
Thompson AW, 2023, ENVIRON MICROBIOL, V25, P880, DOI 10.1111/1462-2920.16334
Thompson AW, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00007-1
Walters TL, 2019, MOL ECOL, V28, P176, DOI 10.1111/mec.14926
Weber ED, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.709454
Wei YQ, 2022, LIMNOL OCEANOGR, V67, P552, DOI 10.1002/lno.12015
Zwirglmaier K, 2009, ENVIRON MICROBIOL, V11, P1767, DOI 10.1111/j.1462-2920.2009.01902.x
NR 50
TC 2
Z9 2
PD JAN
PY 2025
VL 70
IS 1
BP 244
EP 257
DI 10.1002/lno.12748
EA DEC 2024
UT WOS:001370904200001
DA 2025-07-30
ER
PT J
AU Sun, CC
Zhao, WJ
Yue, WZ
Cheng, H
Sun, FL
Wang, YT
Wu, ML
Engel, A
Wang, YS
AF Sun, Cui-Ci
Zhao, Wen-Jie
Yue, Wei-Zhong
Cheng, Hao
Sun, Fu-Lin
Wang, Yu-Tu
Wu, Mei-Lin
Engel, Anja
Wang, You-Shao
TI Polymeric carbohydrates utilization separates microbiomes into niches:
insights into the diversity of microbial carbohydrate-active enzymes in
the inner shelf of the Pearl River Estuary, China
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Polymeric carbohydrates are abundant and their recycling by microbes is a key process of the ocean carbon cycle. A deeper analysis of carbohydrate-active enzymes (CAZymes) can offer a window into the mechanisms of microbial communities to degrade carbohydrates in the ocean. In this study, metagenomic genes encoding microbial CAZymes and sugar transporter systems were predicted to assess the microbial glycan niches and functional potentials of glycan utilization in the inner shelf of the Pearl River Estuary (PRE). The CAZymes gene compositions were significantly different between in free-living (0.2-3 & mu;m, FL) and particle-associated (>3 & mu;m, PA) bacteria of the water column and between water and surface sediments, reflecting glycan niche separation on size fraction and selective degradation in depth. Proteobacteria and Bacteroidota had the highest abundance and glycan niche width of CAZymes genes, respectively. At the genus level, Alteromonas (Gammaproteobacteria) exhibited the greatest abundance and glycan niche width of CAZymes genes and were marked by a high abundance of periplasmic transporter protein TonB and members of the major facilitator superfamily (MFS). The increasing contribution of genes encoding CAZymes and transporters for Alteromonas in bottom water contrasted to surface water and their metabolism are tightly related with particulate carbohydrates (pectin, alginate, starch, lignin-cellulose, chitin, and peptidoglycan) rather than on the utilization of ambient-water DOC. Candidatus Pelagibacter (Alphaproteobacteria) had a narrow glycan niche and was primarily preferred for nitrogen-containing carbohydrates, while their abundant sugar ABC (ATP binding cassette) transporter supported the scavenging mode for carbohydrate assimilation. Planctomycetota, Verrucomicrobiota, and Bacteroidota had similar potential glycan niches in the consumption of the main component of transparent exopolymer particles (sulfated fucose and rhamnose containing polysaccharide and sulfated-N-glycan), developing considerable niche overlap among these taxa. The most abundant CAZymes and transporter genes as well as the widest glycan niche in the abundant bacterial taxa implied their potential key roles on the organic carbon utilization, and the high degree of glycan niches separation and polysaccharide composition importantly influenced bacterial communities in the coastal waters of PRE. These findings expand the current understanding of the organic carbon biotransformation, underlying the size-fractionated glycan niche separation near the estuarine system.
C1 [Sun, Cui-Ci; Zhao, Wen-Jie; Yue, Wei-Zhong; Cheng, Hao; Sun, Fu-Lin; Wu, Mei-Lin; Wang, You-Shao] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Peoples R China.
[Sun, Cui-Ci; Sun, Fu-Lin; Wang, Yu-Tu; Wang, You-Shao] Chinese Acad Sci, Daya Bay Marine Biol Res Stn, Shenzhen, Peoples R China.
[Zhao, Wen-Jie] Univ Chinese Acad Sci, Beijing, Peoples R China.
[Engel, Anja] GEOMAR Helmholtz Ctr Ocean Res Kiel, Kiel, Germany.
RP Wang, YS (corresponding author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Peoples R China.; Wang, YS (corresponding author), Chinese Acad Sci, Daya Bay Marine Biol Res Stn, Shenzhen, Peoples R China.
EM yswang@scsio.ac.cn
CR Alderkamp AC, 2007, FEMS MICROBIOL ECOL, V59, P108, DOI 10.1111/j.1574-6941.2006.00219.x
Aramaki T, 2020, BIOINFORMATICS, V36, P2251, DOI 10.1093/bioinformatics/btz859
Arandia-Gorostidi N, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-18915-0
Arnosti C, 2021, ANNU REV MAR SCI, V13, P81, DOI 10.1146/annurev-marine-032020-012810
Arnosti C, 2000, LIMNOL OCEANOGR, V45, P1112, DOI 10.4319/lo.2000.45.5.1112
Avci B, 2020, ISME J, V14, P1369, DOI 10.1038/s41396-020-0601-y
Baker BJ, 2015, MICROBIOME, V3, DOI 10.1186/s40168-015-0077-6
Baltar F, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01063-4
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Barbeyron T, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164846
Becker S, 2020, P NATL ACAD SCI USA, V117, P6599, DOI 10.1073/pnas.1917001117
Benner R, 2004, MAR CHEM, V92, P307, DOI 10.1016/j.marchem.2004.06.033
Benner R., 2002, Biogeochemistry of Marine Dissolved Organic Matter, P5990, DOI DOI 10.1016/B978-012323841-2/50005-1
Benner R, 2011, BIOGEOCHEMISTRY, V102, P209, DOI 10.1007/s10533-010-9435-4
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Boraston AB, 2004, BIOCHEM J, V382, P769, DOI 10.1042/BJ20040892
Bryson S, 2017, ISME J, V11, P2781, DOI 10.1038/ismej.2017.128
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Butler MK, 2007, FEMS MICROBIOL LETT, V268, P244, DOI 10.1111/j.1574-6968.2006.00597.x
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Costa OYA, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00836-7
Cuskin F, 2015, NATURE, V520, DOI 10.1038/nature14334
Dal Bello M, 2021, NAT ECOL EVOL, V5, P1463, DOI 10.1038/s41559-021-01563-4
Davis MPA, 2013, METHODS, V63, P41, DOI 10.1016/j.ymeth.2013.06.027
Dong HP, 2014, ENV MICROBIOL REP, V6, P683, DOI 10.1111/1758-2229.12188
Ebrahimi A, 2019, P NATL ACAD SCI USA, V116, P23309, DOI 10.1073/pnas.1908512116
Engel A, 2004, NATURE, V428, P929, DOI 10.1038/nature02453
Fahimipour AK, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18695-z
Francis B, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00385-y
Garza DR, 2018, NAT MICROBIOL, V3, P456, DOI 10.1038/s41564-018-0124-8
GAUTHIER G, 1995, INT J SYST BACTERIOL, V45, P755, DOI 10.1099/00207713-45-4-755
Gilmore MC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-35607-5
Ginestet C, 2011, J ROY STAT SOC A, V174, P245, DOI 10.1111/j.1467-985X.2010.00676_9.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gowda K, 2022, CELL, V185, P530, DOI 10.1016/j.cell.2021.12.036
Gügi B, 2015, MAR DRUGS, V13, P5993, DOI 10.3390/md13095993
Hallgren J, 2022, bioRxiv, DOI [10.1101/2022.04.08.487609, 10.1101/2022.04.08.487609, DOI 10.1101/2022.04.08.487609]
He B, 2010, BIOGEOSCIENCES, V7, P3343, DOI 10.5194/bg-7-3343-2010
He BY, 2010, MAR CHEM, V119, P52, DOI 10.1016/j.marchem.2009.12.006
Hehemann JH, 2017, ENVIRON MICROBIOL, V19, P2320, DOI 10.1111/1462-2920.13726
Herold M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19006-2
Hung CC, 2001, MAR CHEM, V73, P305, DOI 10.1016/S0304-4203(00)00114-6
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jiang WX, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33566-5
Jiao NZ, 2011, NAT REV MICROBIOL, V9, DOI 10.1038/nrmicro2386-c5
Kieft B, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2101178118
Kits KD, 2017, NATURE, V549, P269, DOI 10.1038/nature23679
Kuang JL, 2013, ISME J, V7, P1038, DOI 10.1038/ismej.2012.139
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lazar CS, 2016, ENVIRON MICROBIOL, V18, P1200, DOI 10.1111/1462-2920.13142
Levy R, 2013, P NATL ACAD SCI USA, V110, P12804, DOI 10.1073/pnas.1300926110
Liu Huajian, 2017, Journal of Tropical Oceanography, V36, P81, DOI 10.11978/2016033
Liu ST, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.580397
Liu YY, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138856
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Luis AS, 2022, NAT CHEM BIOL, V18, P1032, DOI 10.1038/s41589-022-01132-1
Ma X, 2022, WATER RES, V219, DOI 10.1016/j.watres.2022.118565
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Munoz R, 2016, SYST APPL MICROBIOL, V39, P281, DOI 10.1016/j.syapm.2016.04.004
Myklestad SM, 2007, MAR CHEM, V107, P475, DOI 10.1016/j.marchem.2007.09.002
Noell SE, 2021, MBIO, V12, DOI 10.1128/mBio.01091-21
Oksanen Jari, 2024, CRAN
Okuda K, 2002, J PLANT RES, V115, P283, DOI 10.1007/s10265-002-0034-x
Orellana LH, 2022, ISME J, V16, P630, DOI 10.1038/s41396-021-01105-7
Orsi William D, 2018, Nat Microbiol, V3, P32, DOI 10.1038/s41564-017-0047-9
Painter TJ., 1983, POLYSACCHARIDES, P196
PAKULSKI JD, 1994, LIMNOL OCEANOGR, V39, P930, DOI 10.4319/lo.1994.39.4.0930
Parks D. H., 2015, ENCY METAGENOMICS GE, P641
Parsons TR., 1984, BIOL OCEANOGRAPHIC P, V2nd
Passow U, 2002, PROG OCEANOGR, V55, P287, DOI 10.1016/S0079-6611(02)00138-6
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Peterson AT., 2011, ECOLOGICAL NICHES GE, DOI [DOI 10.23943/PRINCETON/9780691136868.001.0001, 10.1515/9781400840670]
PRAHL FG, 1994, GEOCHIM COSMOCHIM AC, V58, P3035, DOI 10.1016/0016-7037(94)90177-5
Reintjes G, 2020, ENVIRON MICROBIOL, V22, P1884, DOI 10.1111/1462-2920.14971
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Saier MH, 2021, NUCLEIC ACIDS RES, V49, pD461, DOI 10.1093/nar/gkaa1004
Santillan E, 2022, NPJ BIOFILMS MICROBI, V8, DOI 10.1038/s41522-022-00301-3
Sauer DB, 2015, BIOPHYS J, V109, P1420, DOI 10.1016/j.bpj.2015.07.026
Shi Z, 2019, J GEOPHYS RES-BIOGEO, V124, P3507, DOI 10.1029/2019JG005095
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Smith MW, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02475
Smits SA, 2017, SCIENCE, V357, P802, DOI 10.1126/science.aan4834
Sperling M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00065
Sun CC, 2022, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.733240
Sun CC, 2012, J GEOPHYS RES-BIOGEO, V117, DOI 10.1029/2012JG001951
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teufel F, 2022, NAT BIOTECHNOL, V40, P1023, DOI 10.1038/s41587-021-01156-3
Thomas F, 2021, ISME J, V15, P3062, DOI 10.1038/s41396-021-00987-x
Tremblay L, 2006, GEOCHIM COSMOCHIM AC, V70, P133, DOI 10.1016/j.gca.2005.08.024
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vidal-Melgosa S, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21009-6
Vollmer W, 2008, FEMS MICROBIOL REV, V32, P259, DOI 10.1111/j.1574-6976.2007.00099.x
von Meijenfeldt FAB, 2023, NAT ECOL EVOL, V7, DOI 10.1038/s41559-023-02027-7
Wang YM, 2020, LIMNOL OCEANOGR, V65, pS161, DOI 10.1002/lno.11314
Wegner CE, 2013, MAR GENOM, V9, P51, DOI 10.1016/j.margen.2012.12.001
Wolter LA, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.628055
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Zhang H, 2018, NUCLEIC ACIDS RES, V46, pW95, DOI 10.1093/nar/gky418
Zhang J., 2013, spaa: An R package for Computing Species Association and Niche Overlap
Zhang Y, 2016, J GEOPHYS RES-BIOGEO, V121, P2261, DOI 10.1002/2016JG003390
[张玉龙 Zhang Yulong], 2014, [地球化学, Geochimica], V43, P114
Zhao ZH, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz4354
NR 107
TC 10
Z9 10
PD JUN 21
PY 2023
VL 14
AR 1180321
DI 10.3389/fmicb.2023.1180321
UT WOS:001020002000001
DA 2025-07-30
ER
PT J
AU Ferla, MP
Brewster, JL
Hall, KR
Evans, GB
Patrick, WM
AF Ferla, Matteo P.
Brewster, Jodi L.
Hall, Kelsi R.
Evans, Gary B.
Patrick, Wayne M.
TI Primordial-like enzymes from bacteria with reduced genomes
SO MOLECULAR MICROBIOLOGY
DT Article
AB The first cells probably possessed rudimentary metabolic networks, built using a handful of multifunctional enzymes. The promiscuous activities of modern enzymes are often assumed to be relics of this primordial era; however, by definition these activities are no longer physiological. There are many fewer examples of enzymes using a single active site to catalyze multiple physiologically-relevant reactions. Previously, we characterized the promiscuous alanine racemase (ALR) activity of Escherichia coli cystathionine -lyase (CBL). Now we have discovered that several bacteria with reduced genomes lack alr, but contain metC (encoding CBL). We characterized the CBL enzymes from three of these: Pelagibacter ubique, the Wolbachia endosymbiont of Drosophila melanogaster (wMel) and Thermotoga maritima. Each is a multifunctional CBL/ALR. However, we also show that CBL activity is no longer required in these bacteria. Instead, the wMel and T. maritima enzymes are physiologically bi-functional alanine/glutamate racemases. They are not highly active, but they are clearly sufficient. Given the abundance of the microorganisms using them, we suggest that much of the planet's biochemistry is carried out by enzymes that are quite different from the highly-active exemplars usually found in textbooks. Instead, primordial-like enzymes may be an essential part of the adaptive strategy associated with streamlining.
C1 [Ferla, Matteo P.; Brewster, Jodi L.; Hall, Kelsi R.; Patrick, Wayne M.] Univ Otago, Dept Biochem, Dunedin, New Zealand.
[Evans, Gary B.] Victoria Univ, Ferrier Res Inst, Lower Hutt, New Zealand.
[Ferla, Matteo P.] Univ Oxford, Dept Biochem, Oxford, England.
RP Patrick, WM (corresponding author), Univ Otago, Dept Biochem, Dunedin, New Zealand.
EM wayne.patrick@otago.ac.nz
CR Adams NE, 2014, MBIO, V5, DOI 10.1128/mBio.01378-14
Auger S, 2002, MICROBIOL-SGM, V148, P507, DOI 10.1099/00221287-148-2-507
Baba T, 2006, MOL SYST BIOL, V2, DOI 10.1038/msb4100050
Bar-Even A, 2011, BIOCHEMISTRY-US, V50, P4402, DOI 10.1021/bi2002289
Barona-Gómez F, 2003, EMBO REP, V4, P296, DOI 10.1038/sj.embor.embor771
Bennett BD, 2009, NAT CHEM BIOL, V5, P593, DOI 10.1038/nchembio.186
Boniface A, 2009, J BIOL CHEM, V284, P21856, DOI 10.1074/jbc.M109.034363
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chang A, 2015, NUCLEIC ACIDS RES, V43, pD439, DOI 10.1093/nar/gku1068
Clausen T, 1996, J MOL BIOL, V262, P202, DOI 10.1006/jmbi.1996.0508
Copley SD, 2015, TRENDS BIOCHEM SCI, V40, P72, DOI 10.1016/j.tibs.2014.12.004
Du J, 2011, NATURE, V478, P534, DOI 10.1038/nature10458
Due AV, 2011, P NATL ACAD SCI USA, V108, P3554, DOI 10.1073/pnas.1015996108
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eliot AC, 2004, ANNU REV BIOCHEM, V73, P383, DOI 10.1146/annurev.biochem.73.011303.074021
ESAKI N, 1986, BIOCHEMISTRY-US, V25, P3261, DOI 10.1021/bi00359a027
Ferla MP, 2014, MICROBIOL-SGM, V160, P1571, DOI 10.1099/mic.0.077826-0
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
Fuerst JA, 2011, NAT REV MICROBIOL, V9, P403, DOI 10.1038/nrmicro2578
Galperin MY, 2015, NUCLEIC ACIDS RES, V43, pD261, DOI 10.1093/nar/gku1223
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Glasner ME, 2006, CURR OPIN CHEM BIOL, V10, P492, DOI 10.1016/j.cbpa.2006.08.012
Goudarzi M, 2006, EXTREMOPHILES, V10, P469, DOI 10.1007/s00792-006-0522-3
Hug LA, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.48, 10.1038/NMICROBIOL.2016.48]
JENSEN RA, 1976, ANNU REV MICROBIOL, V30, P409, DOI 10.1146/annurev.mi.30.100176.002205
Jeske O, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8116
Junier T, 2010, BIOINFORMATICS, V26, P1669, DOI 10.1093/bioinformatics/btq243
Khersonsky O, 2010, ANNU REV BIOCHEM, V79, P471, DOI 10.1146/annurev-biochem-030409-143718
Kitagawa M, 2005, DNA RES, V12, P291, DOI 10.1093/dnares/dsi012
Latif H, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003485
Lesley SA, 2002, P NATL ACAD SCI USA, V99, P11664, DOI 10.1073/pnas.142413399
Letunic I, 2011, NUCLEIC ACIDS RES, V39, pW475, DOI [10.1093/nar/gkr201, 10.1093/nar/gkr931]
Lodha PH, 2010, PROTEIN SCI, V19, P383, DOI 10.1002/pro.308
Lundqvist T, 2007, NATURE, V447, P817, DOI 10.1038/nature05689
Ma Y, 2014, MOLECULES, V19, P1004, DOI 10.3390/molecules19011004
Matsumura I, 2001, J MOL BIOL, V305, P331, DOI 10.1006/jmbi.2000.4259
McCutcheon JP, 2012, NAT REV MICROBIOL, V10, P13, DOI 10.1038/nrmicro2670
Nagai S, 1971, METHODS ENZYMOLOGY B, V17B, P423, DOI 10.1016/0076-6879(71)17074-7
Nelson KE, 1999, NATURE, V399, P323, DOI 10.1038/20601
Okubo Y, 1999, BIOCHEM BIOPH RES CO, V256, P333, DOI 10.1006/bbrc.1999.0324
PACE CN, 1995, PROTEIN SCI, V4, P2411, DOI 10.1002/pro.5560041120
Patrick WM, 2002, CHEMBIOCHEM, V3, P789, DOI 10.1002/1439-7633(20020802)3:8<789::AID-CBIC789>3.0.CO;2-D
Percudani R, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-273
Price DRG, 2014, BMC BIOL, V12, DOI 10.1186/s12915-014-0110-4
Pysz MA, 2004, APPL ENVIRON MICROB, V70, P6098, DOI 10.1128/AEM.70.10.6098-6112.2004
Raboni S, 2010, COMPREHENSIVE NATURAL PRODUCTS II: CHEMISTRY AND BIOLOGY, VOL 7: COFACTORS, P273
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Risso VA, 2013, J AM CHEM SOC, V135, P2899, DOI 10.1021/ja311630a
Say RF, 2010, NATURE, V464, P1077, DOI 10.1038/nature08884
Sayers EW, 2010, NUCLEIC ACIDS RES, V38, pD5, DOI 10.1093/nar/gkp967
SCHLEIFER KH, 1972, BACTERIOL REV, V36, P407, DOI 10.1128/MMBR.36.4.407-477.1972
SOMERO GN, 1995, ANNU REV PHYSIOL, V57, P43, DOI 10.1146/annurev.ph.57.030195.000355
Soo VWC, 2016, J BIOL CHEM, V291, P19873, DOI 10.1074/jbc.M116.739557
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Tanner ME, 2002, ACCOUNTS CHEM RES, V35, P237, DOI 10.1021/ar000056y
Tawfik DS, 2016, CURR OPIN CHEM BIOL, V31, pV, DOI 10.1016/j.cbpa.2016.03.002
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
van Teeseling MCF, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7878
Vollmer J, 2013, INT J MED MICROBIOL, V303, P140, DOI 10.1016/j.ijmm.2013.01.002
Vollmer W, 2008, FEMS MICROBIOL REV, V32, P149, DOI 10.1111/j.1574-6976.2007.00094.x
Voordeckers K, 2012, PLOS BIOL, V10, DOI 10.1371/journal.pbio.1001446
Wolf YI, 2013, BIOESSAYS, V35, P829, DOI 10.1002/bies.201300037
Wu DL, 2008, PROTEIN SCI, V17, P1066, DOI 10.1110/ps.083495908
Wu DY, 2009, NATURE, V462, P1056, DOI 10.1038/nature08656
Wu DY, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004207
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
YCAS M, 1974, J THEOR BIOL, V44, P145, DOI 10.1016/S0022-5193(74)80035-4
YOKOIGAWA K, 1993, BIOSCI BIOTECH BIOCH, V57, P93, DOI 10.1271/bbb.57.93
Yokoigawa K, 2001, BIOCHEM BIOPH RES CO, V288, P676, DOI 10.1006/bbrc.2001.5817
NR 70
TC 31
Z9 38
PD AUG
PY 2017
VL 105
IS 4
BP 508
EP 524
DI 10.1111/mmi.13737
UT WOS:000407427000002
DA 2025-07-30
ER
PT J
AU Liu, JL
Xue, CX
Wang, JY
Crombie, AT
Carrión, O
Johnston, AWB
Murrell, JC
Liu, J
Zheng, YF
Zhang, XH
Todd, JD
AF Liu, Jingli
Xue, Chun-Xu
Wang, Jinyan
Crombie, Andrew T.
Carrion, Ornella
Johnston, Andrew W. B.
Murrell, J. Colin
Liu, Ji
Zheng, Yanfen
Zhang, Xiao-Hua
Todd, Jonathan D.
TI Oceanospirillales containing the DMSP lyase DddD are key
utilisers of carbon from DMSP in coastal seawater
SO MICROBIOME
DT Article
AB Background: Ubiquitous and diverse marine microorganisms utilise the abundant organosulfur molecule dimethylsulfoniopropionate (DMSP), the main precursor of the climate-active gas dimethylsulfide (DMS), as a source of carbon, sulfur and/or signalling molecules. However, it is currently difficult to discern which microbes actively catabolise DMSP in the environment, why they do so and the pathways used.
Results: Here, a novel DNA-stable isotope probing (SIP) approach, where only the propionate and not the DMS moiety of DMSP was C-13-labelled, was strategically applied to identify key microorganisms actively using DMSP and also likely DMS as a carbon source, and their catabolic enzymes, in North Sea water. Metagenomic analysis of natural seawater suggested that Rhodobacterales (Roseobacter group) and SAR11 bacteria were the major microorganisms degrading DMSP via demethylation and, to a lesser extent, DddP-driven DMSP lysis pathways. However, neither Rhodobacterales and SAR11 bacteria nor their DMSP catabolic genes were prominently labelled in DNA-SIP experiments, suggesting they use DMSP as a sulfur source and/or in signalling pathways, and not primarily for carbon requirements. Instead, DNA-SIP identified gammaproteobacterial Oceanospirillales, e.g. Amphritea, and their DMSP lyase DddD as the dominant microorganisms/enzymes using DMSP as a carbon source. Supporting this, most gammaproteobacterial (with DddD) but few alphaproteobacterial seawater isolates grew on DMSP as sole carbon source and produced DMS. Furthermore, our DNA-SIP strategy also identified Methylophaga and other Piscirickettsiaceae as key bacteria likely using the DMS, generated from DMSP lysis, as a carbon source.
Conclusions: This is the first study to use DNA-SIP with C-13-labelled DMSP and, in a novel way, it identifies the dominant microbes utilising DMSP and DMS as carbon sources. It highlights that whilst metagenomic analyses of marine environments can predict microorganisms/genes that degrade DMSP and DMS based on their abundance, it cannot disentangle those using these important organosulfur compounds for their carbon requirements. Note, the most abundant DMSP degraders, e.g. Rhodobacterales with DmdA, are not always the key microorganisms using DMSP for carbon and releasing DMS, which in this coastal system were Oceanospirillales containing DddD.
C1 [Liu, Jingli; Xue, Chun-Xu; Wang, Jinyan; Liu, Ji; Zheng, Yanfen; Zhang, Xiao-Hua] Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.
[Liu, Jingli; Xue, Chun-Xu; Wang, Jinyan; Liu, Ji; Zheng, Yanfen; Zhang, Xiao-Hua] Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
[Liu, Jingli; Wang, Jinyan; Carrion, Ornella; Johnston, Andrew W. B.; Liu, Ji; Zheng, Yanfen; Todd, Jonathan D.] Univ East Anglia, Sch Biol Sci, Norwich Res Pk, Norwich, Norfolk, England.
[Crombie, Andrew T.; Murrell, J. Colin] Univ East Anglia, Sch Environm Sci, Norwich Res Pk, Norwich, Norfolk, England.
[Zhang, Xiao-Hua] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China.
RP Zhang, XH (corresponding author), Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.; Zhang, XH (corresponding author), Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.; Todd, JD (corresponding author), Univ East Anglia, Sch Biol Sci, Norwich Res Pk, Norwich, Norfolk, England.; Zhang, XH (corresponding author), Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China.
EM xhzhang@ouc.edu.cn; jonathan.todd@uea.ac.uk
CR Acolombri U, 2014, BIOCHEMISTRY-US, V53, P5473, DOI 10.1021/bi500853s
Alcolombri U, 2015, SCIENCE, V348, P1466, DOI 10.1126/science.aab1586
ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
Ansede JH, 2001, APPL ENVIRON MICROB, V67, P1210, DOI 10.1128/AEM.67.3.1210-1217.2001
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Boden R, 2010, ENVIRON MICROBIOL, V12, P2688, DOI 10.1111/j.1462-2920.2010.02238.x
Boutet Emmanuel, 2007, V406, P89
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carrión O, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7579
Carrión O, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01040
Chen YX, 2017, GIGASCIENCE, V7, DOI 10.1093/gigascience/gix120
Cosquer A, 1999, APPL ENVIRON MICROB, V65, P3304
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Curson ARJ, 2018, NAT MICROBIOL, V3, P430, DOI 10.1038/s41564-018-0119-5
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Curson ARJ, 2012, BIOGEOCHEMISTRY, V110, P109, DOI 10.1007/s10533-011-9663-2
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Curson ARJ, 2011, ISME J, V5, P1191, DOI 10.1038/ismej.2010.203
Curson ARJ, 2010, ISME J, V4, P144, DOI 10.1038/ismej.2009.93
Delcher AL, 2007, BIOINFORMATICS, V23, P673, DOI 10.1093/bioinformatics/btm009
Dumont MG, 2005, NAT REV MICROBIOL, V3, P499, DOI 10.1038/nrmicro1162
El Khawand M, 2016, ENVIRON MICROBIOL, V18, P2743, DOI 10.1111/1462-2920.13345
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Fish JA, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00291
Gao C, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15693-z
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
González JM, 2019, ISME J, V13, P1183, DOI 10.1038/s41396-019-0347-6
Green S., 2017, Handbook of victims and victimology, P77
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Johnson WM, 2016, ISME J, V10, P2304, DOI 10.1038/ismej.2016.6
Johnston AWB, 2016, CURR OPIN CHEM BIOL, V31, P58, DOI 10.1016/j.cbpa.2016.01.011
Kageyama H, 2018, ARCH BIOCHEM BIOPHYS, V645, P100, DOI 10.1016/j.abb.2018.03.019
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Kröber E, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01132
Ksionzek KB, 2016, SCIENCE, V354, P456, DOI 10.1126/science.aaf7796
Kudo T, 2018, GENE, V665, P174, DOI 10.1016/j.gene.2018.04.072
Landa M, 2019, ISME J, V13, P2536, DOI 10.1038/s41396-019-0455-3
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Lee H, 2012, ENVIRON MICROBIOL, V14, P605, DOI 10.1111/j.1462-2920.2011.02600.x
Levine NM, 2012, ENVIRON MICROBIOL, V14, P1210, DOI 10.1111/j.1462-2920.2012.02700.x
Li C-Y., 2021, Elife, V10
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Lidbury I, 2016, ENVIRON MICROBIOL, V18, P2754, DOI 10.1111/1462-2920.13354
Liu JL, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03206
Luo RB, 2012, GIGASCIENCE, V1, DOI 10.1186/2047-217X-1-18
McDevitt CA, 2002, BIOCHEMISTRY-US, V41, P15234, DOI 10.1021/bi026221u
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nayfach S, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0611-7
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Nowinski B, 2019, ENVIRON MICROBIOL, V21, P1687, DOI 10.1111/1462-2920.14560
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Radajewski S, 2000, NATURE, V403, P646, DOI 10.1038/35001054
Raina JB, 2010, TRENDS MICROBIOL, V18, P101, DOI 10.1016/j.tim.2009.12.002
Reisch CR, 2013, MOL MICROBIOL, V89, P774, DOI 10.1111/mmi.12314
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Saltzman E., 1989, ACS SYM SER, P167
Schäfer H, 2007, APPL ENVIRON MICROB, V73, P2580, DOI 10.1128/AEM.02074-06
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Seymour JR, 2010, SCIENCE, V329, P342, DOI 10.1126/science.1188418
Simó R, 1999, NATURE, V402, P396, DOI 10.1038/46516
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Simó R, 2009, AQUAT MICROB ECOL, V57, P43, DOI 10.3354/ame01325
Song DL, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00157
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Strom S, 2003, LIMNOL OCEANOGR, V48, P230, DOI 10.4319/lo.2003.48.1.0230
Sun H, 2020, MICROB ECOL, V80, P350, DOI 10.1007/s00248-020-01507-8
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun L, 2012, BIOGEOCHEMISTRY, V110, P121, DOI 10.1007/s10533-011-9666-z
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
SUYLEN GMH, 1987, J GEN MICROBIOL, V133, P2989
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Todd JD, 2011, ENVIRON MICROBIOL, V13, P427, DOI 10.1111/j.1462-2920.2010.02348.x
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vila-Costa M, 2006, ENVIRON MICROBIOL, V8, P2189, DOI 10.1111/j.1462-2920.2006.01102.x
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Walters W., 2015, MSYSTEMS, V10, P00009
Wang P, 2017, MOL MICROBIOL, V105, P674, DOI 10.1111/mmi.13727
Wick RR, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005595
Williams BT, 2019, NAT MICROBIOL, V4, P1815, DOI 10.1038/s41564-019-0527-1
Williams HN, 2016, ISME J, V10, P491, DOI 10.1038/ismej.2015.129
Wolfe GV, 1997, NATURE, V387, P894, DOI 10.1038/43168
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Yoch DC, 2001, FEMS MICROBIOL ECOL, V37, P31, DOI 10.1111/j.1574-6941.2001.tb00850.x
Zeng YX, 2019, ACTA OCEANOL SIN, V38, P64, DOI 10.1007/s13131-019-1393-7
Zhang SH, 2014, SCI TOTAL ENVIRON, V488, P157, DOI 10.1016/j.scitotenv.2014.04.074
Zhang XH, 2019, SCI CHINA LIFE SCI, V62, P1296, DOI 10.1007/s11427-018-9524-y
Zheng YF, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18434-4
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
Zhu WH, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq275
NR 102
TC 16
Z9 16
PD JUL 27
PY 2022
VL 10
IS 1
AR 110
DI 10.1186/s40168-022-01304-0
UT WOS:000830722800001
DA 2025-07-30
ER
PT J
AU Murray, AE
Peng, V
Tyler, C
Wagh, P
AF Murray, Alison E.
Peng, Vivian
Tyler, Charlotte
Wagh, Protima
TI Marine bacterioplankton biomass, activity and community structure in the
vicinity of Antarctic icebergs
SO DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
DT Article
AB We studied marine bacterioplankton in the Scotia Sea in June 2008 and in the northwest Weddell Sea in March to mid April 2009 in waters proximal to three free-drifting icebergs (SS-1, A-43k, and C-18a), in a region with a high density of smaller icebergs (iceberg alley), and at stations that were upstream of the iceberg trajectories designated as far-field reference sites that were between 16-75 km away. Hydrographic parameters were used to define water masses in which comparisons between bacterioplankton-associated characteristics (abundance, leucine incorporation into protein, aminopeptidase activities and community structure) within and between water masses could be made. Early winter Scotia Sea bacterioplankton had low levels of cells and low heterotrophic production rates in the upper 50 m. Influences of the icebergs on bacterioplankton at this time of year were minimal, if not deleterious, as we found lower levels of heterotrophic production near A-43k in comparison to stations > 16 km away. Additionally, the results point to small but significant differences in cell abundance, heterotrophic production, and community structure between the two icebergs studied. These icebergs differed greatly in size and the findings suggest that the larger iceberg had a greater effect. In the NW Weddell Sea in March-mid April bacterioplankton were twice as abundant and had heterotrophic productions rates that were 8-fold higher than what we determined in the Scotia Sea, though levels were still quite low, which is typical for autumn. We did not detect direct iceberg-related influences on the bacterioplankton characteristics studied here. Clues to understanding bacterioplankton responses may lie in the details of community structure, as there were some significant differences in community structure in the winter water and underlying upper circumpolar deep-water masses between stations occupied close to C-18a and at stations 18 km away (i.e. Polaribacter and Pelagibacter-related 16S rRNA gene fragments were at low levels at the 18 km stations), though higher resolution, high throughput profiling tools will be needed to pinpoint specific organisms and ecological types. Likewise, a better understanding of local to regional scale structure of bacterioplankton communities is necessary. The relationship between bacterioplankton abundance and heterotrophic production suggested bottom up processes were controlling bacterioplankton during March - mid-April in the NW Weddell Sea, and that variation in temperature may play a role in substrate utilization. Trophic linkages seen between phytoplankton and zooplankton were mirrored by tight coupling between primary production and heterotrophic production in the waters immediately surrounding C-18a and in iceberg alley (but not at stations 18 and 75 km away), suggesting that indirect effects on bacterioplankton may also be important. Overall, the results show that bacterioplankton, dominated by Rhodobacteracae Pelagibacter, and uncultivated Gammaproteobacteria groups were minimally influenced by icebergs in the regions and seasons studied here - at least directly - though further work addressing different scales, sizes of icebergs, and seasons is needed to better understand bacterioplankton-associated ecological processes and carbon cycling in regions of high iceberg production. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Murray, Alison E.; Peng, Vivian; Tyler, Charlotte; Wagh, Protima] Desert Res Inst, Reno, NV 89512 USA.
RP Murray, AE (corresponding author), Desert Res Inst, 2215 Reggio Pkwy, Reno, NV 89512 USA.
EM Alison.Murray@dri.edu
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Arrieta JM, 2004, LIMNOL OCEANOGR, V49, P799, DOI 10.4319/lo.2004.49.3.0799
Ashelford KE, 2006, APPL ENVIRON MICROB, V72, P5734, DOI 10.1128/AEM.00556-06
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
BAINES SB, 1991, LIMNOL OCEANOGR, V36, P1078, DOI 10.4319/lo.1991.36.6.1078
BILLEN G, 1990, HYDROBIOLOGIA, V207, P37, DOI 10.1007/BF00041438
BUTTON DK, 1986, LIMNOL OCEANOGR, V31, P453, DOI 10.4319/lo.1986.31.2.0453
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cefarelli AO, 2011, DEEP-SEA RES PT II, V58, P1436, DOI 10.1016/j.dsr2.2010.11.023
CHRISTIAN JR, 1995, LIMNOL OCEANOGR, V40, P1042, DOI 10.4319/lo.1995.40.6.1042
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Clarke KR., 2006, PRIMER VERSION 7 USE
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
Ducklow H, 2001, DEEP-SEA RES PT II, V48, P4199, DOI 10.1016/S0967-0645(01)00086-8
Ducklow H.W., 1992, ARCH HYDROBIOL, V37, P207
Ducklow HW, 2000, DEEP-SEA RES PT II, V47, P3227, DOI 10.1016/S0967-0645(00)00066-7
Eisen MB, 1998, P NATL ACAD SCI USA, V95, P14863, DOI 10.1073/pnas.95.25.14863
Evans C, 2009, ENVIRON MICROBIOL, V11, P2924, DOI 10.1111/j.1462-2920.2009.02050.x
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Giovannoni S., 1991, NUCL ACID TECHNIQUES, P177
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Grzymski JJ, 2006, APPL ENVIRON MICROB, V72, P1532, DOI 10.1128/AEM.72.2.1532-1541.2006
Helly JJ, 2011, DEEP-SEA RES PT II, V58, P1346, DOI 10.1016/j.dsr2.2010.11.010
HOPPE HG, 1993, MAR ECOL PROG SER, V93, P277, DOI 10.3354/meps093277
Hoppe HG, 1993, HDB METHODS AQUATIC, P423
Kataoka T, 2009, J MARINE SYST, V77, P197, DOI 10.1016/j.jmarsys.2008.12.006
Kaufmann RS, 2011, DEEP-SEA RES PT II, V58, P1469, DOI 10.1016/j.dsr2.2010.11.026
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Lamy D, 2009, AQUAT MICROB ECOL, V58, P95, DOI 10.3354/ame01359
Ley RE, 2006, APPL ENVIRON MICROB, V72, P3685, DOI 10.1128/AEM.72.5.3685-3695.2006
Lin H, 2011, DEEP-SEA RES PT II, V58, P1392, DOI 10.1016/j.dsr2.2010.11.020
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Moller EF, 2005, J PLANKTON RES, V27, P27, DOI 10.1093/plankt/fbh147
Morán XAG, 2010, AQUAT MICROB ECOL, V58, P229, DOI 10.3354/ame01374
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Obernosterer I, 2008, DEEP-SEA RES PT II, V55, P777, DOI 10.1016/j.dsr2.2007.12.005
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pomeroy LR, 2001, AQUAT MICROB ECOL, V23, P187, DOI 10.3354/ame023187
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
RAISWELL R, 2008, GEOCHIM COSM SUPPL, V72, pA773
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Scambos TA, 2000, J GLACIOL, V46, P516, DOI 10.3189/172756500781833043
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schwarz JN, 2009, DEEP-SEA RES PT I, V56, P1727, DOI 10.1016/j.dsr.2009.05.003
Sherlock RE, 2011, DEEP-SEA RES PT II, V58, P1457, DOI 10.1016/j.dsr2.2010.11.025
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Smith KL, 2011, DEEP-SEA RES PT II, V58, P1485, DOI 10.1016/j.dsr2.2010.11.027
Smith KL, 2011, DEEP-SEA RES PT II, V58, P1277, DOI 10.1016/j.dsr2.2010.11.003
Smith KL, 2007, SCIENCE, V317, P478, DOI 10.1126/science.1142834
Stephenson GR, 2011, DEEP-SEA RES PT II, V58, P1336, DOI 10.1016/j.dsr2.2010.11.009
Suzuki M, 1998, APPL ENVIRON MICROB, V64, P4522
Titelman J, 2008, AQUAT BIOL, V2, P131, DOI 10.3354/ab00042
Topping JN, 2006, AQUAT MICROB ECOL, V45, P229, DOI 10.3354/ame045229
Vernet M, 2011, DEEP-SEA RES PT II, V58, P1422, DOI 10.1016/j.dsr2.2010.11.022
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Yokokawa T, 2010, AQUAT MICROB ECOL, V59, P185, DOI 10.3354/ame01393
NR 61
TC 16
Z9 17
PD JUN
PY 2011
VL 58
IS 11-12
BP 1407
EP 1421
DI 10.1016/j.dsr2.2010.11.021
UT WOS:000291079800013
DA 2025-07-30
ER
PT J
AU McCain, JSP
Allen, AE
Bertrand, EM
AF McCain, J. Scott P.
Allen, Andrew E.
Bertrand, Erin M.
TI Proteomic traits vary across taxa in a coastal Antarctic phytoplankton
bloom
SO ISME JOURNAL
DT Article
AB Production and use of proteins is under strong selection in microbes, but it is unclear how proteome-level traits relate to ecological strategies. We identified and quantified proteomic traits of eukaryotic microbes and bacteria through an Antarctic phytoplankton bloom using in situ metaproteomics. Different taxa, rather than different environmental conditions, formed distinct clusters based on their ribosomal and photosynthetic proteomic proportions, and we propose that these characteristics relate to ecological differences. We defined and used a proteomic proxy for regulatory cost, which showed that SAR11 had the lowest regulatory cost of any taxa we observed at our summertime Southern Ocean study site. Haptophytes had lower regulatory cost than diatoms, which may underpin haptophyte-to-diatom bloom progression in the Ross Sea. We were able to make these proteomic trait inferences by assessing various sources of bias in metaproteomics, providing practical recommendations for researchers in the field. We have quantified several proteomic traits (ribosomal and photosynthetic proteomic proportions, regulatory cost) in eukaryotic and bacterial taxa, which can then be incorporated into trait-based models of microbial communities that reflect resource allocation strategies.
C1 [McCain, J. Scott P.; Bertrand, Erin M.] Dalhousie Univ, Dept Biol, Halifax, NS, Canada.
[McCain, J. Scott P.; Bertrand, Erin M.] Dalhousie Univ, Ctr Comparat Genom & Evolutionary Bioinformat, Halifax, NS, Canada.
[Allen, Andrew E.] J Craig Venter Inst, Microbial & Environm Genom, La Jolla, CA USA.
[Allen, Andrew E.] Univ Calif San Diego, Scripps Inst Oceanog, Integrat Oceanog Div, La Jolla, CA 92093 USA.
RP Bertrand, EM (corresponding author), Dalhousie Univ, Dept Biol, Halifax, NS, Canada.; Bertrand, EM (corresponding author), Dalhousie Univ, Ctr Comparat Genom & Evolutionary Bioinformat, Halifax, NS, Canada.
EM erin.bertrand@dal.ca
CR Alexander H, 2015, P NATL ACAD SCI USA, V112, pE5972, DOI 10.1073/pnas.1518165112
Alexander H, 2015, P NATL ACAD SCI USA, V112, pE2182, DOI 10.1073/pnas.1421993112
ANDREOLI C, 1995, POLAR BIOL, V15, P465
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bertrand EM, 2012, P NATL ACAD SCI USA, V109, pE1762, DOI 10.1073/pnas.1201731109
Braakman R, 2017, P NATL ACAD SCI USA, V114, pE3091, DOI 10.1073/pnas.1619573114
Cohen NR, 2021, NAT MICROBIOL, V6, P173, DOI 10.1038/s41564-020-00814-7
Cohen NR, 2018, ENVIRON MICROBIOL, V20, P3109, DOI 10.1111/1462-2920.14386
Coles VJ, 2017, SCIENCE, V358, P1149, DOI 10.1126/science.aan5712
Dekel E, 2005, NATURE, V436, P588, DOI 10.1038/nature03842
Dethlefsen L, 2007, J BACTERIOL, V189, P3237, DOI 10.1128/JB.01686-06
Dupont CL, 2015, ISME J, V9, P1076, DOI 10.1038/ismej.2014.198
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Faizi M, 2018, BIOSYSTEMS, V166, P26, DOI 10.1016/j.biosystems.2018.02.004
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Haft DH, 2003, NUCLEIC ACIDS RES, V31, P371, DOI 10.1093/nar/gkg128
Hart Y, 2015, NAT METHODS, V12, P233, DOI [10.1038/NMETH.3254, 10.1038/nmeth.3254]
Hu SK, 2018, ENVIRON MICROBIOL, V20, P2865, DOI 10.1111/1462-2920.14259
Jabre LJ, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2107238118
Jahn M, 2018, CELL REP, V25, P478, DOI 10.1016/j.celrep.2018.09.040
Jeong Hae Jin, 2010, Ocean Science Journal, V45, P65, DOI 10.1007/s12601-010-0007-2
Johnson GE, 2020, NATURE, V585, P124, DOI 10.1038/s41586-020-2638-5
Kanehisa M, 2004, NUCLEIC ACIDS RES, V32, pD277, DOI 10.1093/nar/gkh063
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kim S, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6277
Lalanne JB, 2018, CELL, V173, P749, DOI 10.1016/j.cell.2018.03.007
Mangoni O, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0176033
McCain JSP, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abg6501
McCain JSP, 2019, J PROTEOME RES, V18, P3555, DOI 10.1021/acs.jproteome.9b00144
McGill BJ, 2006, TRENDS ECOL EVOL, V21, P178, DOI 10.1016/j.tree.2006.02.002
McQuaid JB, 2018, NATURE, V555, P534, DOI 10.1038/nature25982
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Molenaar D, 2009, MOL SYST BIOL, V5, DOI 10.1038/msb.2009.82
Mori M, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01242-8
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Noble AE, 2013, FRONT CHEM, V1, DOI 10.3389/fchem.2013.00025
Nunn BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0075653
O'Malley MA, 2018, STUD HIST PHILOS SCI, V72, P1, DOI 10.1016/j.shpsa.2018.07.001
Ogata H, 1999, NUCLEIC ACIDS RES, V27, P29, DOI 10.1093/nar/27.1.29
Parker DJ, 2020, CELL SYST, V11, P121, DOI 10.1016/j.cels.2020.07.005
Peloquin JA, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003816
Perez-Riverol Y, 2019, NUCLEIC ACIDS RES, V47, pD442, DOI 10.1093/nar/gky1106
Pfeifer N, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-468
Podell S, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-2-r16
Reed DC, 2014, P NATL ACAD SCI USA, V111, P1879, DOI 10.1073/pnas.1313713111
Reimers AM, 2017, P NATL ACAD SCI USA, V114, pE6457, DOI 10.1073/pnas.1617508114
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
Röst HL, 2016, NAT METHODS, V13, P741, DOI [10.1038/NMETH.3959, 10.1038/nmeth.3959]
Röst HL, 2014, PROTEOMICS, V14, P74, DOI 10.1002/pmic.201300246
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
RUSSELL JB, 1995, MICROBIOL REV, V59, P48, DOI 10.1128/MMBR.59.1.48-62.1995
Saito MA, 2014, SCIENCE, V345, P1173, DOI 10.1126/science.1256450
Schmidt A, 2016, NAT BIOTECHNOL, V34, P104, DOI 10.1038/nbt.3418
Schmieder R, 2012, BIOINFORMATICS, V28, P433, DOI 10.1093/bioinformatics/btr669
Scott M, 2010, SCIENCE, V330, P1099, DOI 10.1126/science.1192588
Sedwick PN, 2007, BIOGEOCHEMISTRY, V83, P83, DOI 10.1007/s10533-007-9081-7
Sheftel H, 2013, ECOL EVOL, V3, P1471, DOI 10.1002/ece3.528
Smith WO, 2013, DEEP-SEA RES PT I, V79, P141, DOI 10.1016/j.dsr.2013.05.002
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Strzepek RF, 2004, NATURE, V431, P689, DOI 10.1038/nature02954
Tanca A, 2016, MICROBIOME, V4, DOI 10.1186/s40168-016-0196-8
Tatusov RL, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-41
Toseland A, 2013, NAT CLIM CHANGE, V3, P979, DOI 10.1038/NCLIMATE1989
Twining BS, 2013, ANNU REV MAR SCI, V5, P191, DOI 10.1146/annurev-marine-121211-172322
Weisser H, 2017, J PROTEOME RES, V16, P2964, DOI 10.1021/acs.jproteome.7b00248
Weisser H, 2013, J PROTEOME RES, V12, P1628, DOI 10.1021/pr300992u
Wu M, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11426-z
Zybailov B, 2006, J PROTEOME RES, V5, P2339, DOI 10.1021/pr060161n
NR 71
TC 9
Z9 9
PD FEB
PY 2022
VL 16
IS 2
BP 569
EP 579
DI 10.1038/s41396-021-01084-9
EA SEP 2021
UT WOS:000693351100001
DA 2025-07-30
ER
PT J
AU Kiefl, E
Esen, OC
Miller, SE
Kroll, KL
Willis, AD
Rappé, MS
Pan, T
Eren, AM
AF Kiefl, Evan
Esen, Ozcan C.
Miller, Samuel E.
Kroll, Kourtney L.
Willis, Amy D.
Rappe, Michael S.
Pan, Tao
Eren, A. Murat
TI Structure-informed microbial population genetics elucidate selective
pressures that shape protein evolution
SO SCIENCE ADVANCES
DT Article
AB Comprehensive sampling of natural genetic diversity with metagenomics enables highly resolved insights into the interplay between ecology and evolution. However, resolving adaptive, neutral, or purifying processes of evolution from intrapopulation genomic variation remains a challenge, partly due to the sole reliance on gene sequences to interpret variants. Here, we describe an approach to analyze genetic variation in the context of predicted protein structures and apply it to a marine microbial population within the SAR11 subclade 1a.3.V, which dominates low-latitude surface oceans. Our analyses reveal a tight association between genetic variation and protein structure. In a central gene in nitrogen metabolism, we observe decreased occurrence of nonsynon- ymous variants from ligand-binding sites as a function of nitrate concentrations, revealing genetic targets of distinct evolutionary pressures maintained by nutrient availability. Our work yields insights into the governing principles of evolution and enables structure-aware investigations of microbial population genetics.
C1 [Kiefl, Evan; Esen, Ozcan C.; Miller, Samuel E.; Eren, A. Murat] Univ Chicago, Dept Med, Chicago, IL 60637 USA.
[Kiefl, Evan; Kroll, Kourtney L.] Univ Chicago, Grad Program Biophys Sci, Chicago, IL 60637 USA.
[Miller, Samuel E.; Eren, A. Murat] Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA 02543 USA.
[Willis, Amy D.] Univ Washington, Dept Biostat, Seattle, WA 98195 USA.
[Rappe, Michael S.] Univ Hawaii Manoa, Hawaii Inst Marine Biol, Kaneohe, HI 96822 USA.
[Pan, Tao] Univ Chicago, Dept Biochem & Mol Biol, Chicago, IL 60637 USA.
[Eren, A. Murat] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.
[Eren, A. Murat] Alfred Wegener Inst Polar & Marine Res, Bremerhaven, Germany.
[Eren, A. Murat] Helmholtz Inst Funct Marine Biodivers, Oldenburg, Germany.
RP Kiefl, E; Eren, AM (corresponding author), Univ Chicago, Dept Med, Chicago, IL 60637 USA.; Kiefl, E (corresponding author), Univ Chicago, Grad Program Biophys Sci, Chicago, IL 60637 USA.; Eren, AM (corresponding author), Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA 02543 USA.; Eren, AM (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.; Eren, AM (corresponding author), Alfred Wegener Inst Polar & Marine Res, Bremerhaven, Germany.; Eren, AM (corresponding author), Helmholtz Inst Funct Marine Biodivers, Oldenburg, Germany.
EM ekiefl@uchicago.edu; meren@hifmb.de
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Allen EE, 2007, P NATL ACAD SCI USA, V104, P1883, DOI 10.1073/pnas.0604851104
Almeida A, 2021, NAT BIOTECHNOL, V39, P105, DOI 10.1038/s41587-020-0603-3
Anderson RE, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01228-6
ANFINSEN CB, 1973, SCIENCE, V181, P223, DOI 10.1126/science.181.4096.223
Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
Berman HM, 2000, NUCLEIC ACIDS RES, V28, P235, DOI 10.1093/nar/28.1.235
Bernard SM, 2009, NEW PHYTOL, V182, P608, DOI 10.1111/j.1469-8137.2009.02823.x
Bristow LA, 2017, CURR BIOL, V27, pR474, DOI 10.1016/j.cub.2017.03.030
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Burke MK, 2010, NATURE, V467, P587, DOI 10.1038/nature09352
CHEN KQ, 1993, P NATL ACAD SCI USA, V90, P5618, DOI 10.1073/pnas.90.12.5618
Chen LX, 2020, GENOME RES, V30, P315, DOI 10.1101/gr.258640.119
Cock PJA, 2009, BIOINFORMATICS, V25, P1422, DOI 10.1093/bioinformatics/btp163
Conwill A, 2022, CELL HOST MICROBE, V30, P171, DOI 10.1016/j.chom.2021.12.007
Costea PI, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0182392
Curtis TP, 2006, PHILOS T R SOC B, V361, P2023, DOI 10.1098/rstb.2006.1921
Curtis TP, 2005, SCIENCE, V309, P1331, DOI 10.1126/science.1118176
Dean AM, 2002, MOL BIOL EVOL, V19, P1846, DOI 10.1093/oxfordjournals.molbev.a004009
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Denef V.J., 2018, Population Genomics: Microorganisms, P49
Drummond DA, 2008, CELL, V134, P341, DOI 10.1016/j.cell.2008.05.042
Drummond DA, 2005, P NATL ACAD SCI USA, V102, P14338, DOI 10.1073/pnas.0504070102
Echave J, 2016, NAT REV GENET, V17, P109, DOI 10.1038/nrg.2015.18
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, BMC BIOINFORMATICS, V5, P1, DOI 10.1186/1471-2105-5-113
El-Gebali S, 2019, NUCLEIC ACIDS RES, V47, pD427, DOI 10.1093/nar/gky995
Eren AM, 2021, NAT MICROBIOL, V6, P3, DOI 10.1038/s41564-020-00834-3
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Garud NR, 2020, TRENDS GENET, V36, P53, DOI 10.1016/j.tig.2019.10.010
Garud NR, 2019, PLOS BIOL, V17, DOI 10.1371/journal.pbio.3000102
Ginestet C, 2011, J ROY STAT SOC A, V174, P245, DOI 10.1111/j.1467-985X.2010.00676_9.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Golding GB, 1998, MOL BIOL EVOL, V15, P355, DOI 10.1093/oxfordjournals.molbev.a025932
Good BH, 2017, NATURE, V551, P45, DOI 10.1038/nature24287
Goodsell DS, 2000, ANNU REV BIOPH BIOM, V29, P105, DOI 10.1146/annurev.biophys.29.1.105
Harms MJ, 2013, NAT REV GENET, V14, P559, DOI 10.1038/nrg3540
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hug LA, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.48, 10.1038/NMICROBIOL.2016.48]
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jack BR, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.1002452
Jumper J, 2021, NATURE, V596, P583, DOI 10.1038/s41586-021-03819-2
KABSCH W, 1983, BIOPOLYMERS, V22, P2577, DOI 10.1002/bip.360221211
Källberg M, 2012, NAT PROTOC, V7, P1511, DOI 10.1038/nprot.2012.085
Kobren SN, 2019, NUCLEIC ACIDS RES, V47, P582, DOI 10.1093/nar/gky1224
Köster J, 2012, BIOINFORMATICS, V28, P2520, DOI 10.1093/bioinformatics/bts480
Kuhlman B, 2019, NAT REV MOL CELL BIO, V20, P681, DOI 10.1038/s41580-019-0163-x
Lam S.K., 2015, P 2 WORKSH LLVM COMP, P7, DOI DOI 10.1145/2833157.2833162
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
LENSKI RE, 1991, AM NAT, V138, P1315, DOI 10.1086/285289
Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
Mes THM, 2008, ENVIRON MICROBIOL, V10, P251, DOI 10.1111/j.1462-2920.2007.01449.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nayfach S, 2016, GENOME RES, V26, P1612, DOI 10.1101/gr.201863.115
Ochman H, 2003, MOL BIOL EVOL, V20, P2091, DOI 10.1093/molbev/msg229
Olm MR, 2021, NAT BIOTECHNOL, V39, P727, DOI 10.1038/s41587-020-00797-0
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Pál C, 2001, GENETICS, V158, P927
Paoli L, 2022, NATURE, V607, P111, DOI [10.1038/s41586-022-04862-3, 10.1393/ncc/i2022-22120-x]
Quince C, 2017, NAT BIOTECHNOL, V35, P833, DOI 10.1038/nbt.3935
R Development Core Team, 2011, R LANG ENV STAT COMP
Rose A. R., 2016, P 21 INT C WEB3D TEC, P185, DOI [10. 1145/2945292. 2945324, DOI 10.1145/2945292.2945324]
Rose AS, 2015, NUCLEIC ACIDS RES, V43, pW576, DOI 10.1093/nar/gkv402
Rost B, 1999, PROTEIN ENG, V12, P85, DOI 10.1093/protein/12.2.85
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Schloissnig S, 2013, NATURE, V493, P45, DOI 10.1038/nature11711
Shaiber A, 2020, GENOME BIOL, V21, DOI 10.1186/s13059-020-02195-w
Sharir-Ivry A, 2021, PLOS GENET, V17, DOI 10.1371/journal.pgen.1009476
Sharir-Ivry A, 2019, J MOL BIOL, V431, P3860, DOI 10.1016/j.jmb.2019.07.019
Shenhav L, 2020, SCIENCE, V370, P683, DOI 10.1126/science.aaz9642
Sikosek T, 2014, J R SOC INTERFACE, V11, DOI 10.1098/rsif.2014.0419
Siltberg-Liberles J, 2011, GENES-BASEL, V2, P748, DOI 10.3390/genes2040748
Simmons SL, 2008, PLOS BIOL, V6, P1427, DOI 10.1371/journal.pbio.0060177
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sunyaev S, 2001, CURR OPIN STRUC BIOL, V11, P125, DOI 10.1016/S0959-440X(00)00175-5
Tatusov RL, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-41
Touw WG, 2015, NUCLEIC ACIDS RES, V43, pD364, DOI 10.1093/nar/gku1028
Van Rossum T, 2020, NAT REV MICROBIOL, V18, P491, DOI 10.1038/s41579-020-0368-1
Eswar Narayanan, 2006, Curr Protoc Bioinformatics, VChapter 5, pUnit, DOI [10.1002/cpps.20, 10.1002/cpbi.3, 10.1002/0471250953.bi0506s47, 10.1002/0471140864.ps0209s50, 10.1002/0471250953.bi0506s15]
Whitaker RJ, 2006, TRENDS ECOL EVOL, V21, P508, DOI 10.1016/j.tree.2006.07.001
Wilke CO, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002572
Worth CL, 2009, NAT REV MOL CELL BIO, V10, P709, DOI 10.1038/nrm2762
Woyke T, 2017, NAT METHODS, V14, P1045, DOI [10.1038/nmeth.4469, 10.1038/NMETH.4469]
Xu JR, 2010, BIOINFORMATICS, V26, P889, DOI 10.1093/bioinformatics/btq066
Yang JY, 2013, NUCLEIC ACIDS RES, V41, pD1096, DOI 10.1093/nar/gks966
Zhang S, 2021, BIOINFORMATICS, V37, P3657, DOI 10.1093/bioinformatics/btab187
Zhang Y, 2004, PROTEINS, V57, P702, DOI 10.1002/prot.20264
Zhao SJ, 2019, CELL HOST MICROBE, V25, P656, DOI 10.1016/j.chom.2019.03.007
NR 92
TC 9
Z9 9
PD FEB 24
PY 2023
VL 9
IS 8
AR eabq4632
DI 10.1126/sciadv.abq4632
UT WOS:000948176900021
DA 2025-07-30
ER
PT J
AU Gu, JH
Wang, XJ
Ma, XP
Sun, Y
Xiao, X
Luo, HW
AF Gu, Jiahao
Wang, Xiaojun
Ma, Xiaopan
Sun, Ying
Xiao, Xiang
Luo, Haiwei
TI Unexpectedly high mutation rate of a deep-sea hyperthermophilic
anaerobic archaeon
SO ISME JOURNAL
DT Article
AB Deep-sea hydrothermal vents resemble the early Earth, and thus the dominant Thermococcaceae inhabitants, which occupy an evolutionarily basal position of the archaeal tree and take an obligate anaerobic hyperthermophilic free-living lifestyle, are likely excellent models to study the evolution of early life. Here, we determined that unbiased mutation rate of a representative species, Thermococcus eurythermalis, exceeded that of all known free-living prokaryotes by 1-2 orders of magnitude, and thus rejected the long-standing hypothesis that low mutation rates were selectively favored in hyperthermophiles. We further sequenced multiple and diverse isolates of this species and calculated that T. eurythermalis has a lower effective population size than other free-living prokaryotes by 1-2 orders of magnitude. These data collectively indicate that the high mutation rate of this species is not selectively favored but instead driven by random genetic drift. The availability of these unusual data also helps explore mechanisms underlying microbial genome size evolution. We showed that genome size is negatively correlated with mutation rate and positively correlated with effective population size across 30 bacterial and archaeal lineages, suggesting that increased mutation rate and random genetic drift are likely two important mechanisms driving microbial genome reduction. Future determinations of the unbiased mutation rate of more representative lineages with highly reduced genomes such as Prochlorococcus and Pelagibacterales that dominate marine microbial communities are essential to test these hypotheses.
C1 [Gu, Jiahao; Ma, Xiaopan; Xiao, Xiang] Shanghai Jiao Tong Univ, State Key Lab Microbial Metab, Shanghai 200240, Peoples R China.
[Gu, Jiahao; Ma, Xiaopan; Xiao, Xiang] Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China.
[Wang, Xiaojun; Sun, Ying; Luo, Haiwei] Chinese Univ Hong Kong, Sch Life Sci, Simon FS Li Marine Sci Lab, Shatin, Hong Kong, Peoples R China.
[Wang, Xiaojun; Sun, Ying; Luo, Haiwei] Chinese Univ Hong Kong, State Key Lab Agrobiotechnol, Shatin, Hong Kong, Peoples R China.
[Luo, Haiwei] Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518000, Peoples R China.
[Luo, Haiwei] Southern Marine Sci & Engn Guangdong Lab Guangzho, Hong Kong Branch, Hong Kong, Peoples R China.
RP Xiao, X (corresponding author), Shanghai Jiao Tong Univ, State Key Lab Microbial Metab, Shanghai 200240, Peoples R China.; Xiao, X (corresponding author), Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China.; Luo, HW (corresponding author), Chinese Univ Hong Kong, Sch Life Sci, Simon FS Li Marine Sci Lab, Shatin, Hong Kong, Peoples R China.; Luo, HW (corresponding author), Chinese Univ Hong Kong, State Key Lab Agrobiotechnol, Shatin, Hong Kong, Peoples R China.; Luo, HW (corresponding author), Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518000, Peoples R China.; Luo, HW (corresponding author), Southern Marine Sci & Engn Guangdong Lab Guangzho, Hong Kong Branch, Hong Kong, Peoples R China.
EM zjxiao2018@sjtu.edu.cn; hluo2006@gmail.com
CR Arevalo P, 2019, CELL, V178, P820, DOI 10.1016/j.cell.2019.06.033
Bourguignon T, 2020, CURR BIOL, V30, P3848, DOI 10.1016/j.cub.2020.07.034
Buckel W, 2001, BBA-BIOENERGETICS, V1505, P15, DOI 10.1016/S0005-2728(00)00273-5
Dick GJ, 2019, NAT REV MICROBIOL, V17, P271, DOI 10.1038/s41579-019-0160-2
Didelot X, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004041
Dillon MM, 2017, MOL BIOL EVOL, V34, P93, DOI 10.1093/molbev/msw224
Drake JW, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000520
Farlow A, 2015, GENETICS, V201, P737, DOI 10.1534/genetics.115.177329
Frenoy A, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2005056
Friedman R, 2004, GENETICS, V167, P1507, DOI 10.1534/genetics.104.026344
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Giraud A, 2001, CURR OPIN MICROBIOL, V4, P582, DOI 10.1016/S1369-5274(00)00254-X
Grogan DW, 2001, P NATL ACAD SCI USA, V98, P7928, DOI 10.1073/pnas.141113098
He Y, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00148
Hughes AL, 2008, ANN NY ACAD SCI, V1133, P162, DOI 10.1196/annals.1438.001
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kuo CH, 2009, GENOME BIOL EVOL, V1, P145, DOI 10.1093/gbe/evp016
Lee H, 2012, P NATL ACAD SCI USA, V109, pE2774, DOI 10.1073/pnas.1210309109
Long HA, 2018, NAT ECOL EVOL, V2, P237, DOI 10.1038/s41559-017-0425-y
Long HA, 2016, P NATL ACAD SCI USA, V113, pE2498, DOI 10.1073/pnas.1601208113
Luo HW, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.91
Luo HW, 2011, MOL BIOL EVOL, V28, P2751, DOI 10.1093/molbev/msr081
Lynch M, 2016, NAT REV GENET, V17, P704, DOI 10.1038/nrg.2016.104
Lynch M, 2010, TRENDS GENET, V26, P345, DOI 10.1016/j.tig.2010.05.003
Mackwan RR, 2008, GENETICS, V180, P17, DOI 10.1534/genetics.108.089086
Marais GAB, 2020, CURR BIOL, V30, pR1083, DOI 10.1016/j.cub.2020.07.093
Martin W, 2008, NAT REV MICROBIOL, V6, P805, DOI 10.1038/nrmicro1991
Mira A, 2001, TRENDS GENET, V17, P589, DOI 10.1016/S0168-9525(01)02447-7
Rocha EPC, 2018, MOL BIOL EVOL, V35, P1338, DOI 10.1093/molbev/msy078
Roussel EG, 2008, SCIENCE, V320, P1046, DOI 10.1126/science.1154545
Sabath N, 2013, GENOME BIOL EVOL, V5, P966, DOI 10.1093/gbe/evt050
Sato T, 2005, APPL ENVIRON MICROB, V71, P3889, DOI 10.1128/AEM.71.7.3889-3899.2005
Sela I, 2016, P NATL ACAD SCI USA, V113, P11399, DOI 10.1073/pnas.1614083113
Senra MVX, 2018, GENOME BIOL EVOL, V10, P723, DOI 10.1093/gbe/evy027
Song QH, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.02662-18
Sun Y, 2017, ISME J, V11, P1713, DOI 10.1038/ismej.2017.20
Sung W, 2012, P NATL ACAD SCI USA, V109, P18488, DOI 10.1073/pnas.1216223109
Taddei F, 1997, NATURE, V387, P700, DOI 10.1038/42696
Takai K, 2011, CURR OPIN MICROBIOL, V14, P282, DOI 10.1016/j.mib.2011.04.013
Tenaillon O, 1999, GENETICS, V152, P485
Williams AB, 2014, DNA REPAIR, V24, P73, DOI 10.1016/j.dnarep.2014.09.009
Zhao WS, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.02081
Zhao WS, 2015, INT J SYST EVOL MICR, V65, P30, DOI 10.1099/ijs.0.067942-0
Zierenberg RA, 2000, P NATL ACAD SCI USA, V97, P12961, DOI 10.1073/pnas.210395997
NR 45
TC 9
Z9 10
PD JUN
PY 2021
VL 15
IS 6
BP 1862
EP 1869
DI 10.1038/s41396-020-00888-5
EA JAN 2021
UT WOS:000608003100010
DA 2025-07-30
ER
PT J
AU Zhang, R
Liu, WC
Liu, Y
Zhang, HL
Zhao, ZH
Zou, LY
AF Zhang, Rui
Liu, Wenchao
Liu, Yu
Zhang, Honglian
Zhao, Zhihui
Zou, Lingyun
TI Impact of water quality variations on the microbial metagenome across
coastal waters in Shenzhen, south China
SO OCEAN & COASTAL MANAGEMENT
DT Article
AB Shenzhen is a coastal city in south China that has developed rapidly over the past four decades, but the microbial diversity and functions of the coastal waters are still not well characterized. Here, we assessed spatial variability of water quality and microbial communities in four areas of Shenzhen coast. The results showed a significant difference on the microbial composition and function between water samples from eastern coast and western coast. The abundance of Rhodobacteraceae bacterium HIMB11, Candidatus Pelagibacter ubique, and alpha proteobacterium HIMB59 were significantly higher in eastern waters (p < 0.01), while Candidatus Aquiluna sp. IMCC13023 and Arcobacter butzleri were more abundant in western samples. Functional analysis of the metagenome indicated there were 504,613 genes on average in each sample. Eastern samples harbored more family genes that classify into glycosyl transferases, carbohydrate esterases, auxiliary activities and polysaccharide lyases compared to western samples. Moreover, KEGG pathways including amino acid metabolism, carbohydrate metabolism, and energy metabolism were enriched in eastern coastal waters. The total nitrogen, total phosphorus, chemical oxygen demand, and number of harmful marine vibrio were significantly higher in western coast, suggesting water quality may have impact on the microbial alteration. The findings anticipate future development of effective indicators of coastal health monitoring and subsequent management strategies to control the anthropogenic disturbance in the Shenzhen coastal waters.
C1 [Zhang, Rui] Guangdong Ocean Univ, Shenzhen Inst, Shenzhen 518108, Peoples R China.
[Zhang, Rui; Zhang, Honglian] Guangdong Ocean Univ, Coll Food Sci & Technol, Modern Biochem Expt Ctr, Zhanjiang 518088, Guangdong, Peoples R China.
[Liu, Wenchao; Liu, Yu; Zhao, Zhihui] Guangdong Ocean Univ, Coll Agr, Zhanjiang 524088, Guangdong, Peoples R China.
[Zou, Lingyun] Jinan Univ, Baoan Womens & Childrens Hosp, Shenzhen 518102, Peoples R China.
RP Zhang, R (corresponding author), Guangdong Ocean Univ, Shenzhen Inst, Shenzhen 518108, Peoples R China.
EM zhangrui168@gdou.edu.cn
CR Appolinario LR, 2019, ENVIRON POLLUT, V249, P295, DOI 10.1016/j.envpol.2019.03.007
Banerjee SK, 2018, J BACTERIOL, V200, DOI 10.1128/JB.00787-17
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bryson S, 2017, ISME J, V11, P2781, DOI 10.1038/ismej.2017.128
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Chen LH, 2012, NUCLEIC ACIDS RES, V40, pD641, DOI 10.1093/nar/gkr989
Collado L, 2011, CLIN MICROBIOL REV, V24, P174, DOI 10.1128/CMR.00034-10
Compa M, 2019, SCI TOTAL ENVIRON, V678, P188, DOI 10.1016/j.scitotenv.2019.04.355
Denton K, 2013, ARCH MICROBIOL, V195, P661, DOI 10.1007/s00203-013-0915-5
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Evans PN, 2015, SCIENCE, V350, P434, DOI 10.1126/science.aac7745
Gu YG, 2017, MAR POLLUT BULL, V120, P286, DOI 10.1016/j.marpolbul.2017.05.013
Hackbusch S, 2020, SCI TOTAL ENVIRON, V707, DOI 10.1016/j.scitotenv.2019.136113
Harnisz M, 2018, SCI TOTAL ENVIRON, V626, P377, DOI 10.1016/j.scitotenv.2018.01.100
He YD, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01579
Huang FW, 2018, ENVIRON SCI POLLUT R, V25, P3647, DOI 10.1007/s11356-017-0362-y
Kube M, 2014, J MOL MICROB BIOTECH, V24, P19, DOI 10.1159/000354322
Lamb JB, 2017, SCIENCE, V355, P731, DOI 10.1126/science.aal1956
Lao QB, 2019, MAR POLLUT BULL, V142, P603, DOI 10.1016/j.marpolbul.2019.04.026
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Liu P, 2020, ENVIRON INT, V137, DOI 10.1016/j.envint.2020.105519
Liu XH, 2019, SCI TOTAL ENVIRON, V659, P499, DOI 10.1016/j.scitotenv.2018.12.405
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Lu XX, 2017, MAR POLLUT BULL, V114, P1118, DOI 10.1016/j.marpolbul.2016.10.036
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Newton RJ, 2013, MICROB ECOL, V65, P1011, DOI 10.1007/s00248-013-0200-9
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Ortmann AC, 2019, MAR POLLUT BULL, V139, P381, DOI 10.1016/j.marpolbul.2019.01.012
Pati A, 2010, STAND GENOMIC SCI, V2, P300, DOI 10.4056/sigs.912121
Pester M, 2011, CURR OPIN MICROBIOL, V14, P300, DOI 10.1016/j.mib.2011.04.007
Pfeifer E, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00853-19
Pinnell LJ, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01252
Qin W, 2017, INT J SYST EVOL MICR, V67, P5067, DOI 10.1099/ijsem.0.002416
Scholl D, 2017, ANNU REV VIROL, V4, P453, DOI 10.1146/annurev-virology-101416-041632
Segata N, 2012, NAT METHODS, V9, P811, DOI [10.1038/NMETH.2066, 10.1038/nmeth.2066]
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Shilova IN, 2014, ISME J, V8, P1476, DOI 10.1038/ismej.2014.1
Sun X, 2019, SCI TOTAL ENVIRON, V659, P632, DOI 10.1016/j.scitotenv.2018.12.364
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
Twing KI, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00308
Ullah R, 2019, SCI TOTAL ENVIRON, V677, P474, DOI 10.1016/j.scitotenv.2019.04.283
Wang YQ, 2019, SCI TOTAL ENVIRON, V683, P822, DOI 10.1016/j.scitotenv.2019.05.204
Wang YJ, 2013, MAR POLLUT BULL, V77, P227, DOI 10.1016/j.marpolbul.2013.10.001
Wu HC, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04922-1
Wu YC, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03096
Xie XF, 2017, SCI TOTAL ENVIRON, V598, P97, DOI 10.1016/j.scitotenv.2017.03.233
Xu WH, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-21030-8
Yang C, 2019, ISME J, V13, P2578, DOI 10.1038/s41396-019-0461-5
Yang LC, 2014, BIORESOURCE TECHNOL, V152, P74, DOI 10.1016/j.biortech.2013.10.116
Yu ZL, 2016, MAR POLLUT BULL, V110, P203, DOI 10.1016/j.marpolbul.2016.06.061
Zhang F, 2020, MAR POLLUT BULL, V153, DOI 10.1016/j.marpolbul.2020.111021
Zhang RJ, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135288
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zhu WH, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq275
NR 57
TC 7
Z9 7
PD JUL 1
PY 2021
VL 208
AR 105612
DI 10.1016/j.ocecoaman.2021.105612
EA APR 2021
UT WOS:000653749800008
DA 2025-07-30
ER
PT J
AU Hopkinson, BM
Barbeau, KA
AF Hopkinson, Brian M.
Barbeau, Katherine A.
TI Iron transporters in marine prokaryotic genomes and metagenomes
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB In the pelagic environment, iron is a scarce but essential micronutrient. The iron acquisition capabilities of selected marine bacteria have been investigated, but the recent proliferation of marine prokaryotic genomes and metagenomes offers a more comprehensive picture of microbial iron uptake pathways in the ocean. Searching these data sets, we were able to identify uptake mechanisms for Fe3+, Fe2+ and iron chelates (e.g. siderophore and haem iron complexes). Transport of iron chelates is accomplished by TonB-dependent transporters (TBDTs). After clustering the TBDTs from marine prokaryotic genomes, we identified TBDT clusters for the transport of hydroxamate and catecholate siderophore iron complexes and haem using gene neighbourhood analysis and co-clustering of TBDTs of known function. The genomes also contained two classes of siderophore biosynthesis genes: NRPS (non-ribosomal peptide synthase) genes and NIS (NRPS Independent Siderophore) genes. The most common iron transporters, in both the genomes and metagenomes, were Fe3+ ABC transporters. Iron uptake-related TBDTs and siderophore biosynthesis genes were less common in pelagic marine metagenomes relative to the genomic data set, in part because Pelagibacter ubique and Prochlorococcus species, which almost entirely lacked these Fe uptake systems, dominate the metagenomes. Our results are largely consistent with current knowledge of iron speciation in the ocean, but suggest that in certain niches the ability to acquire siderophores and/or haem iron chelates is beneficial.
C1 [Hopkinson, Brian M.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Barbeau, Katherine A.] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
RP Hopkinson, BM (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM bmhopkin@uga.edu
CR Al-Shahrour F, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000953
ANGERER A, 1990, J BACTERIOL, V172, P572, DOI 10.1128/jb.172.2.572-578.1990
Barbeau K, 2001, NATURE, V413, P409, DOI 10.1038/35096545
BERISH SA, 1990, J EXP MED, V171, P1535, DOI 10.1084/jem.171.5.1535
Blanvillain S, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000224
Bouman HA, 2006, SCIENCE, V312, P918, DOI 10.1126/science.1122692
Braun V, 2002, FEBS LETT, V529, P78, DOI 10.1016/S0014-5793(02)03185-X
Challis GL, 2005, CHEMBIOCHEM, V6, P601, DOI 10.1002/cbic.200400283
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
Crosa JH, 2002, MICROBIOL MOL BIOL R, V66, P223, DOI 10.1128/MMBR.66.2.223-249.2002
de Baar HJW, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002601
Eddy SR, 1998, BIOINFORMATICS, V14, P755, DOI 10.1093/bioinformatics/14.9.755
Eide DJ, 1998, ANNU REV NUTR, V18, P441, DOI 10.1146/annurev.nutr.18.1.441
Finn RD, 2010, NUCLEIC ACIDS RES, V38, pD211, DOI 10.1093/nar/gkp985
Forbes JR, 2001, TRENDS MICROBIOL, V9, P397, DOI 10.1016/S0966-842X(01)02098-4
Granger J, 1999, LIMNOL OCEANOGR, V44, P541, DOI 10.4319/lo.1999.44.3.0541
Guan LL, 2000, APPL ENVIRON MICROB, V66, P2797, DOI 10.1128/AEM.66.7.2797-2803.2000
Hansard SP, 2009, DEEP-SEA RES PT I, V56, P1117, DOI 10.1016/j.dsr.2009.03.006
Heymann JJ, 2007, J AM CHEM SOC, V129, P9704, DOI 10.1021/ja0709268
Hopkinson BM, 2008, APPL ENVIRON MICROB, V74, P6263, DOI 10.1128/AEM.00964-08
Hopkinson BM, 2009, BIOMETALS, V22, P659, DOI 10.1007/s10534-009-9235-2
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Katoh H, 2001, J BACTERIOL, V183, P2779, DOI 10.1128/JB.183.9.2779-2784.2001
Kim E, 2011, P NATL ACAD SCI USA, V108, P1496, DOI 10.1073/pnas.1013337108
Koebnik R, 2005, TRENDS MICROBIOL, V13, P343, DOI 10.1016/j.tim.2005.06.005
Köster W, 2001, RES MICROBIOL, V152, P291, DOI 10.1016/S0923-2508(01)01200-1
Li L, 2003, GENOME RES, V13, P2178, DOI 10.1101/gr.1224503
Maldonado MT, 2001, J PHYCOL, V37, P298, DOI 10.1046/j.1529-8817.2001.037002298.x
Martinez JS, 2003, P NATL ACAD SCI USA, V100, P3754, DOI 10.1073/pnas.0637444100
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Mawji E, 2008, ENVIRON SCI TECHNOL, V42, P8675, DOI 10.1021/es801884r
Mietzner TA, 1998, CURR TOP MICROBIOL, V225, P113
Minowa Y, 2007, J MOL BIOL, V368, P1500, DOI 10.1016/j.jmb.2007.02.099
Mirus O, 2009, BMC BIOL, V7, DOI 10.1186/1741-7007-7-68
Morel FMM, 2008, LIMNOL OCEANOGR, V53, P400, DOI 10.4319/lo.2008.53.1.0400
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
NEILANDS JB, 1995, J BIOL CHEM, V270, P26723, DOI 10.1074/jbc.270.45.26723
Oves-Costales D, 2009, CHEM COMMUN, P6530, DOI 10.1039/b913092f
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Rogozin IB, 2004, BRIEF BIOINFORM, V5, P131, DOI 10.1093/bib/5.2.131
RUE EL, 1995, MAR CHEM, V50, P117, DOI 10.1016/0304-4203(95)00031-L
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sandy M, 2009, CHEM REV, V109, P4580, DOI 10.1021/cr9002787
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schauer K, 2008, TRENDS BIOCHEM SCI, V33, P330, DOI 10.1016/j.tibs.2008.04.012
Schröder I, 2003, FEMS MICROBIOL REV, V27, P427, DOI 10.1016/S0168-6445(03)00043-3
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Shaked Y, 2005, LIMNOL OCEANOGR, V50, P872, DOI 10.4319/lo.2005.50.3.0872
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Storey JD, 2003, P NATL ACAD SCI USA, V100, P9440, DOI 10.1073/pnas.1530509100
Suits MDL, 2005, P NATL ACAD SCI USA, V102, P16955, DOI 10.1073/pnas.0504289102
Völker C, 1999, MAR CHEM, V65, P227, DOI 10.1016/S0304-4203(99)00004-3
Webb EA, 2001, APPL ENVIRON MICROB, V67, P5444, DOI 10.1128/AEM.67.12.5444-5452.2001
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zhu HZ, 2003, BIOCHEM J, V376, P35, DOI 10.1042/BJ20031283
NR 56
TC 88
Z9 97
PD JAN
PY 2012
VL 14
IS 1
SI SI
BP 114
EP 128
DI 10.1111/j.1462-2920.2011.02539.x
UT WOS:000302538900010
DA 2025-07-30
ER
PT J
AU Jensen, S
Bourne, DG
Hovland, M
Murrell, JC
AF Jensen, Sigmund
Bourne, David G.
Hovland, Martin
Murrell, J. Colin
TI High diversity of microplankton surrounds deep-water coral reef in the
Norwegian Sea
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Coral reefs that exist in the depths of the oceans are surrounded by Eukarya, Archaea and bacterial communities that may play an important role in the nutrition and health of the reef. The first interdomain community structure of planktonic organisms in seawater from a deep-water coral reef is described. Community profiling and analysis of ribosomal RNA gene sequences from a coral reef system at 350 m depth in the Norwegian Sea revealed a rich diversity of Eukarya and Bacteria and a moderate diversity of Archaea. Most sequences affiliated with marine microplankton from deep-sea to cold-surface regions, with many sequences being similar to those described in studies of mesopelagic and oxygen minimum zones. Dominant phylotypes belonged to the Alveolata (group I, II, dinoflagellates), Stramenopiles (silicoflagellates), Alphaproteobacteria (Pelagibacter ubique), Gammaproteobacteria (ARCTIC96BD-19), Bacteroidetes (Flavobacteria) and mesophilic Crenarchaeota (Nitrosopumilus maritimus). Several rare and novel members of the community fell into distinct phylogenetic groups. The inferred function of dominant community members suggested autotrophs that utilise light, ammonium or sulphide, and lifestyles based on host associations. The high diversity reflected a microplankton community structure, which is significantly different from that of microplankton collected at the same depth at a pelagic station away from reefs.
C1 [Jensen, Sigmund] Univ Bergen, Dept Biol, Bergen, Norway.
[Bourne, David G.] Australian Inst Marine Sci, Townsville, Qld 4810, Australia.
[Hovland, Martin] Univ Bergen, Ctr Geobiol, Bergen, Norway.
[Hovland, Martin] Ambio ASA, Stavanger, Norway.
[Murrell, J. Colin] Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England.
RP Jensen, S (corresponding author), Univ Bergen, Dept Biol, Bergen, Norway.
EM sigmund.jensen@bio.uib.no
CR Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
AMUND OO, 1985, A VAN LEEUW J MICROB, V51, P45, DOI 10.1007/BF00444227
Bachy C, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00106
Baker GC, 2003, J MICROBIOL METH, V55, P541, DOI 10.1016/j.mimet.2003.08.009
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Behnke A, 2006, APPL ENVIRON MICROB, V72, P3626, DOI 10.1128/AEM.72.5.3626-3636.2006
Béjà O, 2002, APPL ENVIRON MICROB, V68, P335, DOI 10.1128/AEM.68.1.335-345.2002
Bourne DG, 2005, ENVIRON MICROBIOL, V7, P1162, DOI 10.1111/j.1462-2920.2005.00793.x
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Buhl-Mortensen L, 2010, MAR ECOL-EVOL PERSP, V31, P21, DOI 10.1111/j.1439-0485.2010.00359.x
Carlier A, 2009, MAR ECOL PROG SER, V397, P125, DOI 10.3354/meps08361
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Díez B, 2001, APPL ENVIRON MICROB, V67, P2942, DOI 10.1128/AEM.67.7.2942-2951.2001
Dubilier N, 2008, NAT REV MICROBIOL, V6, P725, DOI 10.1038/nrmicro1992
Duineveld GCA, 2004, MAR ECOL PROG SER, V277, P13, DOI 10.3354/meps277013
Duperron S, 2005, APPL ENVIRON MICROB, V71, P1694, DOI 10.1128/AEM.71.4.1694-1700.2005
Felsenstein J., 2005, PHYLIP (Phylogeny Inference Package) version 3.6. Distributed by the author
Fonselius S., 2007, Methods of Seawater Analysis, VThird, P91, DOI DOI 10.1002/9783527613984.CH5
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Gómez F, 2009, SYST PARASITOL, V74, P65, DOI 10.1007/s11230-009-9199-1
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Gray MA, 2011, FEMS MICROBIOL ECOL, V76, P109, DOI 10.1111/j.1574-6941.2010.01033.x
GRIFFIN S, 1989, RADIOCARBON, V31, P533
Guillou L, 2008, ENVIRON MICROBIOL, V10, P3349, DOI 10.1111/j.1462-2920.2008.01731.x
Hansson L, 2009, MAR ECOL PROG SER, V397, P89, DOI 10.3354/meps08429
Holmes B, 2007, MAR BIOL, V150, P759, DOI 10.1007/s00227-006-0361-x
Hovland M, 2010, MAR PETROL GEOL, V27, P1190, DOI 10.1016/j.marpetgeo.2010.02.005
Hovland Martin, 2008, P1
Jensen S, 2008, DEEP-SEA RES PT I, V55, P1554, DOI 10.1016/j.dsr.2008.06.008
Jensen S, 2010, FEMS MICROBIOL ECOL, V74, P523, DOI 10.1111/j.1574-6941.2010.00981.x
Kellogg CA, 2009, APPL ENVIRON MICROB, V75, P2294, DOI 10.1128/AEM.02357-08
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
López-García P, 2001, NATURE, V409, P603, DOI 10.1038/35054537
López-García P, 2007, ENVIRON MICROBIOL, V9, P546, DOI 10.1111/j.1462-2920.2006.01158.x
Lovejoy C, 2006, APPL ENVIRON MICROB, V72, P3085, DOI 10.1128/AEM.72.5.3085-3095.2006
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Massana R, 2004, APPL ENVIRON MICROB, V70, P3528, DOI 10.1128/AEM.70.6.3528-3534.2004
Moon-van der Staay SY, 2001, NATURE, V409, P607, DOI 10.1038/35054541
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Neulinger SC, 2008, APPL ENVIRON MICROB, V74, P7272, DOI 10.1128/AEM.01777-08
Neulinger SC, 2009, APPL ENVIRON MICROB, V75, P1437, DOI 10.1128/AEM.01781-08
Pauly D, 2002, NATURE, V418, P689, DOI 10.1038/nature01017
Penn K, 2006, APPL ENVIRON MICROB, V72, P1680, DOI 10.1128/AEM.72.2.1680-1683.2006
Piwosz K, 2010, ENVIRON MICROBIOL, V12, P364, DOI 10.1111/j.1462-2920.2009.02074.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reeburgh WS, 2007, CHEM REV, V107, P486, DOI 10.1021/cr050362v
Roberts JM, 2009, COLD-WATER CORALS: THE BIOLOGY AND GEOLOGY OF DEEP-SEA CORAL HABITATS, P20, DOI 10.1017/CBO9780511581588.003
Rohwer F, 2001, CORAL REEFS, V20, P85
Ronquist F, 2003, BIOINFORMATICS, V19, P1572, DOI 10.1093/bioinformatics/btg180
Sambrook J., 2001, Molecular cloning: a laboratory manual, V3
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schöttner S, 2009, ISME J, V3, P756, DOI 10.1038/ismej.2009.15
SOMERVILLE CC, 1989, APPL ENVIRON MICROB, V55, P548, DOI 10.1128/AEM.55.3.548-554.1989
SOROKIN YI, 1973, LIMNOL OCEANOGR, V18, P380, DOI 10.4319/lo.1973.18.3.0380
Sunamura M, 2004, APPL ENVIRON MICROB, V70, P1190, DOI 10.1128/AEM.70.2.1190-1198.2004
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tavormina PL, 2008, APPL ENVIRON MICROB, V74, P3985, DOI 10.1128/AEM.00069-08
Taylor MW, 2007, MICROBIOL MOL BIOL R, V71, P295, DOI 10.1128/MMBR.00040-06
Vaulot D, 2008, FEMS MICROBIOL REV, V32, P795, DOI 10.1111/j.1574-6976.2008.00121.x
Vissers EW, 2009, FEMS MICROBIOL LETT, V298, P193, DOI 10.1111/j.1574-6968.2009.01718.x
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Woebken D, 2007, APPL ENVIRON MICROB, V73, P4648, DOI 10.1128/AEM.02774-06
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Yakimov MM, 2006, DEEP-SEA RES PT I, V53, P62, DOI 10.1016/j.dsr.2005.07.005
YAMAMOTO S, 1976, J CHEM ENG DATA, V21, P78, DOI 10.1021/je60068a029
NR 71
TC 16
Z9 18
PD OCT
PY 2012
VL 82
IS 1
BP 75
EP 89
DI 10.1111/j.1574-6941.2012.01408.x
UT WOS:000308580900007
DA 2025-07-30
ER
PT J
AU Green, R
Hanfrey, CC
Elliott, KA
McCloskey, DE
Wang, XJ
Kanugula, S
Pegg, AE
Michael, AJ
AF Green, Robert
Hanfrey, Colin C.
Elliott, Katherine A.
McCloskey, Diane E.
Wang, Xiaojing
Kanugula, Sreenivas
Pegg, Anthony E.
Michael, Anthony J.
TI Independent evolutionary origins of functional polyamine biosynthetic
enzyme fusions catalysing de novo diamine to triamine formation
SO MOLECULAR MICROBIOLOGY
DT Article
AB We have identified gene fusions of polyamine biosynthetic enzymes S-adenosylmethionine decarboxylase (AdoMetDC, speD) and aminopropyltransferase (speE) orthologues in diverse bacterial phyla. Both domains are functionally active and we demonstrate the novel de novo synthesis of the triamine spermidine from the diamine putrescine by fusion enzymes from beta-proteobacterium Delftia acidovorans and delta-proteobacterium Syntrophus aciditrophicus, in a Delta speDE gene deletion strain of Salmonella enterica sv. Typhimurium. Fusion proteins from marine alpha-proteobacterium Candidatus Pelagibacter ubique, actinobacterium Nocardia farcinica, chlorobi species Chloroherpeton thalassium, and beta-proteobacterium D. acidovorans each produce a different profile of non-native polyamines including sym-norspermidine when expressed in Escherichia coli. The different aminopropyltransferase activities together with phylogenetic analysis confirm independent evolutionary origins for some fusions. Comparative genomic analysis strongly indicates that gene fusions arose by merger of adjacent open reading frames. Independent fusion events, and horizontal and vertical gene transfer contributed to the scattered phyletic distribution of the gene fusions. Surprisingly, expression of fusion genes in E. coli and S. Typhimurium revealed novel latent spermidine catabolic activity producing non-native 1,3-diaminopropane in these species. We have also identified fusions of polyamine biosynthetic enzymes agmatine deiminase and N-carbamoylputrescine amidohydrolase in archaea, and of S-adenosylmethionine decarboxylase and ornithine decarboxylase in the single-celled green alga Micromonas.
C1 [Michael, Anthony J.] Univ Texas SW Med Ctr Dallas, Dept Pharmacol, Dallas, TX 75390 USA.
[Green, Robert; Hanfrey, Colin C.; Elliott, Katherine A.] Inst Food Res, Norwich NR4 7UA, Norfolk, England.
[McCloskey, Diane E.; Wang, Xiaojing; Kanugula, Sreenivas; Pegg, Anthony E.] Penn State Univ, Coll Med, Dept Cellular & Mol Physiol, Milton S Hershey Med Ctr, Hershey, PA 17033 USA.
RP Michael, AJ (corresponding author), Univ Texas SW Med Ctr Dallas, Dept Pharmacol, Dallas, TX 75390 USA.
EM anthony.michael@utsouthwestern.edu
CR Alvarez BV, 2005, EMBO J, V24, P2499, DOI 10.1038/sj.emboj.7600736
An SG, 2008, SCIENCE, V320, P103, DOI 10.1126/science.1152241
An S, 2010, J BIOL CHEM, V285, P11093, DOI 10.1074/jbc.M110.101139
[Anonymous], Comprehensive phylogenetic analyses of Orchidaceae using
[Anonymous], 2002, GENOME BIOL
Bale S, 2010, AMINO ACIDS, V38, P451, DOI 10.1007/s00726-009-0404-y
Burrell M, 2010, J BIOL CHEM, V285, P39224, DOI 10.1074/jbc.M110.163154
CACCIAPUOTI G, 1986, EUR J BIOCHEM, V161, P263, DOI 10.1111/j.1432-1033.1986.tb10442.x
Caetano-Anollés G, 2009, INT J BIOCHEM CELL B, V41, P285, DOI 10.1016/j.biocel.2008.08.022
Dasu VV, 2006, MICROBIOL-SGM, V152, P2265, DOI 10.1099/mic.0.28920-0
Datsenko KA, 2000, P NATL ACAD SCI USA, V97, P6640, DOI 10.1073/pnas.120163297
Deng XY, 2010, J BIOL CHEM, V285, P25708, DOI 10.1074/jbc.M110.121137
Fani R, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-S2-S4
Fondi M, 2009, RES MICROBIOL, V160, P502, DOI 10.1016/j.resmic.2009.05.001
Frostesjo L, 1997, J BIOL CHEM, V272, P4359, DOI 10.1074/jbc.272.7.4359
Fuell C, 2010, PLANT PHYSIOL BIOCH, V48, P513, DOI 10.1016/j.plaphy.2010.02.008
FUJIHARA S, 1995, J BIOL CHEM, V270, P9932, DOI 10.1074/jbc.270.17.9932
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
HISANO T, 1992, BIOSCI BIOTECH BIOCH, V56, P1916, DOI 10.1271/bbb.56.1916
IGARASHI K, 1986, J BACTERIOL, V166, P128, DOI 10.1128/jb.166.1.128-134.1986
Islam MM, 2007, J BIOL CHEM, V282, P11893, DOI 10.1074/jbc.M700198200
Islam MM, 2010, J BIOL CHEM, V285, P265, DOI 10.1074/jbc.M109.048777
Ivanov IP, 2010, NUCLEIC ACIDS RES, V38, P353, DOI 10.1093/nar/gkp1037
Knott JM, 2007, FEBS LETT, V581, P3081, DOI 10.1016/j.febslet.2007.05.074
Knott JM, 2009, FEBS LETT, V583, P3519, DOI 10.1016/j.febslet.2009.10.014
Lee J, 2009, J BIOL CHEM, V284, P9899, DOI 10.1074/jbc.M900110200
Lu ZCJ, 2007, BIOCHEMISTRY-US, V46, P8172, DOI 10.1021/bi6025962
Michael AJ, 1996, BIOCHEM J, V314, P241, DOI 10.1042/bj3140241
Mitchell CG, 1996, BIOCHEM J, V313, P769, DOI 10.1042/bj3130769
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Müller S, 2000, J BIOL CHEM, V275, P8097, DOI 10.1074/jbc.275.11.8097
Panicot M, 2002, PLANT CELL, V14, P2539, DOI 10.1105/tpc.004077
Pegg AE, 2009, ESSAYS BIOCHEM, V46, P25, DOI [10.1042/BSE0460003, 10.1042/bse0460003]
Pegg AE, 2010, CELL MOL LIFE SCI, V67, P113, DOI 10.1007/s00018-009-0165-5
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Shaw FL, 2010, J BIOL CHEM, V285, P14711, DOI 10.1074/jbc.M110.107219
Srere PA, 2000, TRENDS BIOCHEM SCI, V25, P150, DOI 10.1016/S0968-0004(00)01550-4
SRERE PA, 1987, ANNU REV BIOCHEM, V56, P89, DOI 10.1146/annurev.bi.56.070187.000513
STOKER NG, 1982, GENE, V18, P335, DOI 10.1016/0378-1119(82)90172-X
Swingley WD, 2008, P NATL ACAD SCI USA, V105, P2005, DOI 10.1073/pnas.0709772105
TABOR CW, 1984, ANNU REV BIOCHEM, V53, P749, DOI 10.1146/annurev.bi.53.070184.003533
TABOR CW, 1970, J BIOL CHEM, V245, P5424
Toms AV, 2004, J BIOL CHEM, V279, P33837, DOI 10.1074/jbc.M403369200
Tripp HJ, 2010, NATURE, V464, P90, DOI 10.1038/nature08786
WANG RF, 1991, GENE, V100, P195, DOI 10.1016/0378-1119(91)90366-J
WELCH GR, 1977, PROG BIOPHYS MOL BIO, V32, P103
Wu H, 2008, J BIOL CHEM, V283, P16135, DOI 10.1074/jbc.M710323200
Wu H, 2007, BIOCHEMISTRY-US, V46, P8331, DOI 10.1021/bi602498k
Yamamoto D, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012554
NR 49
TC 19
Z9 21
PD AUG
PY 2011
VL 81
IS 4
BP 1109
EP 1124
DI 10.1111/j.1365-2958.2011.07757.x
UT WOS:000293752500020
DA 2025-07-30
ER
PT J
AU Wang, Z
Wu, M
AF Wang, Zhang
Wu, Martin
TI An integrated phylogenomic approach toward pinpointing the origin of
mitochondria
SO SCIENTIFIC REPORTS
DT Article
AB Overwhelming evidence supports the endosymbiosis theory that mitochondria originated once from the Alphaproteobacteria. However, its exact position in the tree of life remains highly debated. This is because systematic errors, including biased taxonomic sampling, high evolutionary rates and sequence composition bias have long plagued the mitochondrial phylogenetics. In this study, we address this issue by 1) increasing the taxonomic representation of alphaproteobacterial genomes by sequencing 18 phylogenetically novel species. They include 5 Rickettsiales and 4 Rhodospirillales, two orders that have shown close affiliations with mitochondria previously, 2) using a set of 29 slowly evolving mitochondria-derived nuclear genes that are less biased than mitochondria-encoded genes as the alternative "well behaved'' markers for phylogenetic analysis, 3) applying site heterogeneous mixture models that account for the sequence composition bias. With the integrated phylogenomic approach, we are able to for the first time place mitochondria unequivocally within the Rickettsiales order, as a sister clade to the Rickettsiaceae and Anaplasmataceae families, all subtended by the Holosporaceae family. Our results suggest that mitochondria most likely originated from a Rickettsiales endosymbiont already residing in the host, but not from the distantly related free-living Pelagibacter and Rhodospirillales.
C1 [Wang, Zhang; Wu, Martin] Univ Virginia, Dept Biol, Charlottesville, VA 22904 USA.
RP Wu, M (corresponding author), Univ Virginia, Dept Biol, 485 McCormick Rd, Charlottesville, VA 22904 USA.
EM mw4yv@virginia.edu
CR Adams KL, 1999, P NATL ACAD SCI USA, V96, P13863, DOI 10.1073/pnas.96.24.13863
ANDERSON S, 1981, NATURE, V290, P457, DOI 10.1038/290457a0
Andersson SGE, 2003, PHILOS T R SOC B, V358, P165, DOI 10.1098/rstb.2002.1193
BANDELT HJ, 1992, ADV MATH, V92, P47, DOI 10.1016/0001-8708(92)90061-O
Blanquart S, 2008, MOL BIOL EVOL, V25, P842, DOI 10.1093/molbev/msn018
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
Brinkmann H, 2005, SYST BIOL, V54, P743, DOI 10.1080/10635150500234609
Burger G, 2003, TRENDS GENET, V19, P709, DOI 10.1016/j.tig.2003.10.012
Clements KD, 2003, MOL PHYLOGENET EVOL, V26, P190, DOI 10.1016/S1055-7903(02)00325-1
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
COVELLO PS, 1992, EMBO J, V11, P3815, DOI 10.1002/j.1460-2075.1992.tb05473.x
Delcher AL, 2007, BIOINFORMATICS, V23, P673, DOI 10.1093/bioinformatics/btm009
Delsuc F, 2005, NAT REV GENET, V6, P361, DOI 10.1038/nrg1603
Emelyanov VV, 2003, EUR J BIOCHEM, V270, P1599, DOI 10.1046/j.1432-1033.2003.03499.x
Enright AJ, 2002, NUCLEIC ACIDS RES, V30, P1575, DOI 10.1093/nar/30.7.1575
Esser C, 2004, MOL BIOL EVOL, V21, P1643, DOI 10.1093/molbev/msh160
FELSENSTEIN J, 1978, SYST ZOOL, V27, P401, DOI 10.2307/2412923
Ferla MP, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083383
Fitzpatrick DA, 2006, MOL BIOL EVOL, V23, P74, DOI 10.1093/molbev/msj009
Foster PG, 1999, J MOL EVOL, V48, P284, DOI 10.1007/PL00006471
Gabaldón T, 2003, SCIENCE, V301, P609, DOI 10.1126/science.1085463
Gabaldón T, 2007, PLOS COMPUT BIOL, V3, P2209, DOI 10.1371/journal.pcbi.0030219
Garrity G. M., 2004, TAXONOMIC OUTLINE PR
Georgiades K, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024857
Gray MW, 2001, GENOME BIOL, V2
Gray MW, 1999, SCIENCE, V283, P1476, DOI 10.1126/science.283.5407.1476
GUPTA RS, 1995, MOL MICROBIOL, V15, P1, DOI 10.1111/j.1365-2958.1995.tb02216.x
HASEGAWA M, 1993, NATURE, V361, P23, DOI 10.1038/361023b0
HENDY MD, 1993, J CLASSIF, V10, P5, DOI 10.1007/BF02638451
HILLIS DM, 1994, NATURE, V369, P363, DOI 10.1038/369363a0
Hotopp JCD, 2007, SCIENCE, V317, P1753, DOI 10.1126/science.1142490
Huson DH, 2006, MOL BIOL EVOL, V23, P254, DOI 10.1093/molbev/msj030
Jeffroy O, 2006, TRENDS GENET, V22, P225, DOI 10.1016/j.tig.2006.02.003
Karlberg O, 2000, YEAST, V17, P170, DOI 10.1002/1097-0061(20000930)17:3<170::AID-YEA25>3.0.CO;2-V
Karlin S, 2000, P NATL ACAD SCI USA, V97, P11348, DOI 10.1073/pnas.97.21.11348
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Kennedy M, 2005, SYST BIOL, V54, P620, DOI 10.1080/106351591007462
Kennedy M, 1999, MOL PHYLOGENET EVOL, V13, P405, DOI 10.1006/mpev.1999.0660
Kurland CG, 2000, MICROBIOL MOL BIOL R, V64, P786, DOI 10.1128/MMBR.64.4.786-820.2000
Lang BF, 1999, J EUKARYOT MICROBIOL, V46, P320, DOI 10.1111/j.1550-7408.1999.tb04611.x
Lartillot N, 2004, MOL BIOL EVOL, V21, P1095, DOI 10.1093/molbev/msh112
Leebens-Mack J, 2005, MOL BIOL EVOL, V22, P1948, DOI 10.1093/molbev/msi191
LENTO GM, 1995, MOL BIOL EVOL, V12, P28, DOI 10.1093/oxfordjournals.molbev.a040189
Lockhart PJ, 2001, TRENDS ECOL EVOL, V16, P84, DOI 10.1016/S0169-5347(00)02054-1
Lockhart PJ, 2005, TRENDS PLANT SCI, V10, P201, DOI 10.1016/j.tplants.2005.03.006
Mallatt J, 2002, MOL BIOL EVOL, V19, P289, DOI 10.1093/oxfordjournals.molbev.a004082
Martin W, 1998, NATURE, V392, P37, DOI 10.1038/32096
Nesnidal MP, 2010, MOL BIOL EVOL, V27, P2095, DOI 10.1093/molbev/msq097
NUGENT JM, 1991, CELL, V66, P473, DOI 10.1016/0092-8674(81)90011-8
Pagani I, 2012, NUCLEIC ACIDS RES, V40, pD571, DOI 10.1093/nar/gkr1100
Philippe H, 1997, J MOL EVOL, V45, P712
Philippe H, 2005, MOL BIOL EVOL, V22, P1246, DOI 10.1093/molbev/msi111
Phillips MJ, 2004, MOL BIOL EVOL, V21, P1455, DOI 10.1093/molbev/msh137
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Sassera D, 2011, MOL BIOL EVOL, V28, P3285, DOI 10.1093/molbev/msr159
Soltis DE, 2004, TRENDS PLANT SCI, V9, P477, DOI 10.1016/j.tplants.2004.08.008
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Steel M, 2005, SYST BIOL, V54, P527, DOI 10.1080/10635150590947023
Stefanovic S, 2004, BMC EVOL BIOL, V4, DOI 10.1186/1471-2148-4-35
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
VIALE AM, 1994, FEBS LETT, V341, P146, DOI 10.1016/0014-5793(94)80446-X
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Waddell PJ, 1999, SYST BIOL, V48, P31, DOI 10.1080/106351599260427
Wägele JW, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-147
Wang Z, 2013, MOL BIOL EVOL, V30, P1258, DOI 10.1093/molbev/mst059
Wang Z, 2011, BMC GENOMICS, V12, DOI 10.1186/1471-2164-12-453
Williams KP, 2007, J BACTERIOL, V189, P4578, DOI 10.1128/JB.00269-07
WOESE CR, 1991, SYST APPL MICROBIOL, V14, P364, DOI 10.1016/S0723-2020(11)80311-5
Wu DY, 2009, NATURE, V462, P1056, DOI 10.1038/nature08656
Wu M, 2004, PLOS BIOL, V2, P327, DOI 10.1371/journal.pbio.0020069
Wu M, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-10-r151
Wu M, 2012, BIOINFORMATICS, V28, P1033, DOI 10.1093/bioinformatics/bts079
Wu MT, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030288
Yoon HS, 2008, BMC EVOL BIOL, V8, DOI 10.1186/1471-2148-8-14
NR 76
TC 98
Z9 115
PD JAN 22
PY 2015
VL 5
AR 7949
DI 10.1038/srep07949
UT WOS:000348164600006
DA 2025-07-30
ER
PT J
AU Reboul, G
Moreira, D
Annenkova, NV
Bertolino, P
Vershinin, KE
López-García, P
AF Reboul, Guillaume
Moreira, David
Annenkova, Nataliia V.
Bertolino, Paola
Vershinin, Konstantin E.
Lopez-Garcia, Purificacion
TI Marine signature taxa and core microbial community stability along
latitudinal and vertical gradients in sediments of the deepest
freshwater lake
SO ISME JOURNAL
DT Article
AB Lake Baikal is the deepest (~1.6 km) and most voluminous freshwater reservoir on Earth. Compared to plankton, its benthos remains poorly explored. Here, we ask whether latitude and/or depth determine benthic microbial community structure and how Baikal communities compare to those of other freshwater, brackish and marine sediments. To answer, we collected sediment upper layers (0-1 cm) across a ~600 km North-South transect covering the three basins of the lake and from littoral to bathybenthic depths (0.5-1450 m). Analysis of 16S and 18S rRNA gene amplicon sequences revealed communities with high richness and evenness where rare operational taxonomic units (OTUs) collectively dominated. Archaea represented up to 25% or prokaryotic sequences. Baikal sediments harbored typically marine eukaryotic and prokaryotic OTUs recently identified in some lakes (diplonemids, Bolidophyceae, Mamiellales, SAR202, marine-like Synechococcus, Pelagibacterales) but also SAR324, Syndiniales and Radiolaria. We hypothesize that, beyond the salinity barrier, adaptation to oligotrophy explains the presence of these otherwise typically marine lineages. Baikal core benthic communities were relatively stable across sites and seemed not determined by depth or latitude. Comparative analyses with other freshwater, brackish and marine prokaryotic sediment communities confirmed the distinctness of Baikal benthos, which include elements of similarity to marine and hydrothermally influenced systems.
C1 [Reboul, Guillaume; Moreira, David; Bertolino, Paola; Lopez-Garcia, Purificacion] Univ Paris Saclay, Ctr Natl Rech Sci CNRS, Ecol Systemat Evolut, AgroParisTech, Orsay, France.
[Annenkova, Nataliia V.; Vershinin, Konstantin E.] Russian Acad Sci, Limnol Inst, Siberian Branch, Irkutsk, Russia.
RP López-García, P (corresponding author), Univ Paris Saclay, Ctr Natl Rech Sci CNRS, Ecol Systemat Evolut, AgroParisTech, Orsay, France.
CR Annenkova NV, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8040543
Biddle JF, 2008, P NATL ACAD SCI USA, V105, P10583, DOI 10.1073/pnas.0709942105
Castelle CJ, 2018, NAT REV MICROBIOL, V16, P629, DOI 10.1038/s41579-018-0076-2
David GM, 2021, ENVIRON MICROBIOL, V23, P1436, DOI 10.1111/1462-2920.15346
Dombrowski N, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0322-2
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Granin NG, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55758-8
Kurilkina MI, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw094
Lomakina AV, 2018, GEOMICROBIOL J, V35, P50, DOI 10.1080/01490451.2017.1315195
Moore MV, 2009, BIOSCIENCE, V59, P405, DOI 10.1525/bio.2009.59.5.8
Mukherjee I, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02375
Paver SF, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00232-18
Podosokorskaya OA, 2013, ENVIRON MICROBIOL, V15, P1759, DOI 10.1111/1462-2920.12067
Roberts SL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208765
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Spring S, 2018, ENVIRON MICROBIOL, V20, P2438, DOI 10.1111/1462-2920.14253
UNDP-GEF, 2015, EC ATL BAIK BAS, P145
Yi ZZ, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix073
Zakharenko AS, 2019, MICROB ECOL, V78, P269, DOI 10.1007/s00248-018-1299-5
Zemskaya TI, 2020, APPL MICROBIOL BIOT, V104, P6079, DOI 10.1007/s00253-020-10660-6
NR 20
TC 7
Z9 8
PD NOV
PY 2021
VL 15
IS 11
BP 3412
EP 3417
DI 10.1038/s41396-021-01011-y
UT WOS:000709410600022
DA 2025-07-30
ER
PT J
AU Borchardt, T
Fisher, K
Ebling, AM
Westrich, JR
Xian, P
Holmes, CD
Landing, WM
Lipp, EK
Wetz, MS
Ottesen, EA
AF Borchardt, Trace
Fisher, Kelsey, V
Ebling, Alina M.
Westrich, Jason R.
Xian, Peng
Holmes, Christopher D.
Landing, William M.
Lipp, Erin K.
Wetz, Michael S.
Ottesen, Elizabeth A.
TI Saharan dust deposition initiates successional patterns among marine
microbes in the Western Atlantic
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Deposition of aerosolized desert dust can affect marine microbial community structure and function through pulsed addition of limiting micro- and macronutrients. However, few studies have captured responses to dust deposition in situ following trans-oceanic transport. We conducted a 26-d time series evaluating biogeochemical and microbial community response to Saharan dust deposition in surface waters in the subtropical western Atlantic (Florida Keys National Marine Sanctuary, U.S.A.). Following periods of elevated atmospheric dust concentrations, particulate and dissolved iron concentrations increased in surface waters. Autotrophic picoeukaryote abundance increased rapidly, followed by increases in the abundance of heterotrophic bacteria and Synechococcus. Concomitant to cell count changes, we observed successional shifts in bacterial community composition. The relative abundances of Prochlorococcus and Pelagibacter declined with dust arrival, while relative abundance of heterotrophic bacteria increased, beginning with Vibrionales and followed sequentially by Chrysophyceae, Rhodobacteriaceae, and Flavobacteriaceae. Finally, a peak in Synechococcus cyanobacteria was observed. These results provide new insight into microbial community succession in response to Saharan dust deposition, their association with temporal dynamics in surface water dissolved and particulate iron concentrations, and a potential role for bioprocessing of dust particles in shaping marine microbial responses to deposition events.
C1 [Borchardt, Trace; Ottesen, Elizabeth A.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Fisher, Kelsey, V] Texas A&M Univ Corpus Christi, Dept Life Sci, Corpus Christi, TX USA.
[Ebling, Alina M.; Holmes, Christopher D.; Landing, William M.] Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA.
[Westrich, Jason R.; Lipp, Erin K.] Univ Georgia, Dept Environm Hlth Sci, Athens, GA 30602 USA.
[Xian, Peng] US Naval Res Lab, Washington, DC USA.
[Wetz, Michael S.] Texas A&M Univ Corpus Christi, Harte Res Inst Gulf Mexico Studies, Corpus Christi, TX USA.
RP Ottesen, EA (corresponding author), Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
EM ottesen@uga.edu
CR Agawin NSR, 1998, MAR ECOL PROG SER, V170, P45, DOI 10.3354/meps170045
Astrahan P, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00222
Baker AR, 2010, MAR CHEM, V120, P4, DOI 10.1016/j.marchem.2008.09.003
BOWMAN JP, 2014, FAMILY CRYOMORPHACEA, P539
Bressac M, 2014, BIOGEOSCIENCES, V11, P1007, DOI 10.5194/bg-11-1007-2014
BRULAND KW, 1979, ANAL CHIM ACTA, V105, P233, DOI 10.1016/S0003-2670(01)83754-5
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Davey M, 2008, LIMNOL OCEANOGR, V53, P1722, DOI 10.4319/lo.2008.53.5.1722
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Duarte CM, 2006, J GEOPHYS RES-BIOGEO, V111, DOI 10.1029/2005JG000140
Ebling AM, 2015, MAR CHEM, V177, P134, DOI 10.1016/j.marchem.2015.03.012
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Evan AT, 2016, NATURE, V531, P493, DOI 10.1038/nature17149
Giovagnetti V, 2013, BIOGEOSCIENCES, V10, P2973, DOI 10.5194/bg-10-2973-2013
Guieu C, 2010, BIOGEOSCIENCES, V7, P2765, DOI 10.5194/bg-7-2765-2010
Guo C, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00170
Herut B, 2005, DEEP-SEA RES PT II, V52, P3024, DOI 10.1016/j.dsr2.2005.09.003
Hill PG, 2010, FEMS MICROBIOL LETT, V306, P82, DOI 10.1111/j.1574-6968.2010.01940.x
KUOSA H, 1991, MAR ECOL PROG SER, V73, P269, DOI 10.3354/meps073269
Lagaria A, 2017, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00287
Laghdass M, 2011, AQUAT MICROB ECOL, V62, P201, DOI 10.3354/ame01466
Langlois RJ, 2012, MAR ECOL PROG SER, V470, P1, DOI 10.3354/meps10109
LEE SH, 1991, MAR ECOL PROG SER, V79, P195, DOI 10.3354/meps079195
Lekunberri I, 2010, J PLANKTON RES, V32, P381, DOI 10.1093/plankt/fbp137
Lenes JM, 2001, LIMNOL OCEANOGR, V46, P1261, DOI 10.4319/lo.2001.46.6.1261
Lin Y., 2011, GCIP/EOP Surface: Precipitation NCEP/EMC 4KM Gridded Data (GRIB) Stage IV Data. Version 1.0, DOI DOI 10.5065/D6PG1QDD
Longo AF, 2016, ENVIRON SCI TECHNOL, V50, P6912, DOI 10.1021/acs.est.6b02605
LOVE MI, 2014, GENOME BIOL, V15
LYDON KA, 2018, PEERJ, V6
Lynch P, 2016, GEOSCI MODEL DEV, V9, P1489, DOI 10.5194/gmd-9-1489-2016
Mahowald NM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04970-7
Mahowald NM, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002402
Marañón E, 2010, LIMNOL OCEANOGR, V55, P2339, DOI 10.4319/lo.2010.55.6.2339
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Marín I, 2017, SCI TOTAL ENVIRON, V574, P553, DOI 10.1016/j.scitotenv.2016.09.005
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
McKie-Krisberg ZM, 2014, ISME J, V8, P1953, DOI 10.1038/ismej.2014.16
Mills MM, 2004, NATURE, V429, P292, DOI 10.1038/nature02550
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morton PL, 2013, LIMNOL OCEANOGR-METH, V11, P62, DOI 10.4319/lom.2013.11.62
Moxim WJ, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD014709
Oksanen, 2022, VEGAN COMMUNITY ECOL
Paytan A, 2009, P NATL ACAD SCI USA, V106, P4601, DOI 10.1073/pnas.0811486106
Perry KD, 1997, J GEOPHYS RES-ATMOS, V102, P11225, DOI 10.1029/97JD00260
Pitta P., 2017, FRONT MAR SCI, V4
Pitta P, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00264
Prospero JM, 2007, NATO SCI S SS IV EAR, V79, P15
Pulido-Villena E, 2014, BIOGEOSCIENCES, V11, P5607, DOI 10.5194/bg-11-5607-2014
Pulido-Villena E, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003091
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2016, R: a Language and Environment for Statistical Computing
RAHAV E, 2016, FRONT MAR SCI, V3
Ridame C, 2014, BIOGEOSCIENCES, V11, P4783, DOI 10.5194/bg-11-4783-2014
Saito MA, 2006, ANAL CHIM ACTA, V565, P222, DOI 10.1016/j.aca.2006.02.028
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Stein AF, 2015, B AM METEOROL SOC, V96, P2059, DOI 10.1175/BAMS-D-14-00110.1
Takemura AE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00038
Tinker KA, 2016, APPL ENVIRON MICROB, V82, P6603, DOI 10.1128/AEM.01837-16
Tsiaras KP, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00120
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Westphal DL, 2009, IOP C SER EARTH ENV, V7, DOI 10.1088/1755-1307/7/1/012007
Westrich JR, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00012
Westrich JR, 2016, P NATL ACAD SCI USA, V113, P5964, DOI 10.1073/pnas.1518080113
Wuttig K, 2013, BIOGEOSCIENCES, V10, P2583, DOI 10.5194/bg-10-2583-2013
Zhang RF, 2019, EARTH PLANET SC LETT, V516, P148, DOI 10.1016/j.epsl.2019.04.002
NR 67
TC 11
Z9 13
PD JAN
PY 2020
VL 65
IS 1
BP 191
EP 203
DI 10.1002/lno.11291
EA AUG 2019
UT WOS:000480094800001
DA 2025-07-30
ER
PT J
AU Alonso-Gutiérrez, J
Lekunberri, I
Teira, E
Gasol, JM
Figueras, A
Novoa, B
AF Alonso-Gutierrez, Jorge
Lekunberri, Itziar
Teira, Eva
Gasol, Josep M.
Figueras, Antonio
Novoa, Beatriz
TI Bacterioplankton composition of the coastal upwelling system of 'Ria de
Vigo', NW Spain
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Catalysed reported deposition-FISH and clone libraries indicated that Roseobacter, followed by Bacteroidetes, and some gammaproteobacterial groups such as SAR86, dominated the composition of bacterioplankton in Ria de Vigo, NW Spain, in detriment to SARI I (almost absent in this upwelling ecosystem). Since we sampled four times during the year, we observed pronounced changes in the structure of each bacterioplankton component, particularly for the Roseobacter lineage. We suggest that such variations in the coastal upwelling ecosystem of Ria de Vigo were associated with the characteristic phytoplankton communities of the four different hydrographical situations: winter mixing, spring bloom, summer stratification, and autumn upwelling. We retrieved new sequences among the major marine bacterial lineages, particularly among Roseobacter, SAR11, and especially SAR86. The spring community was dominated by two Roseobacter clades that had previously been related to phytoplankton blooms. In the other seasons, communities with higher diversity than the spring one were detected.
C1 [Alonso-Gutierrez, Jorge; Figueras, Antonio; Novoa, Beatriz] CSIC, Inst Invest Marinas, E-36208 Vigo, Spain.
[Lekunberri, Itziar; Gasol, Josep M.] CSIC, Inst Ciencias Mar, Barcelona, Spain.
[Teira, Eva] Univ Vigo, Dept Ecol & Biol Anim, Vigo 36310, Spain.
RP Novoa, B (corresponding author), CSIC, Inst Invest Marinas, Eduardo Cabello 6, E-36208 Vigo, Spain.
EM virus@iim.csic.es
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Gutiérrez J, 2008, MAR ECOL PROG SER, V362, P25, DOI 10.3354/meps07431
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Aristegui J., 2006, The Sea, V23, P877
AZAM F, 1994, MICROBIAL ECOL, V28, P167, DOI 10.1007/BF00166806
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
CHAO A, 1993, BIOMETRIKA, V80, P193, DOI 10.1093/biomet/80.1.193
Chung WK, 2001, APPL ENVIRON MICROB, V67, P5585, DOI 10.1128/AEM.67.12.5585-5592.2001
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
EDWARDS U, 1989, NUCLEIC ACIDS RES, V17, P7843, DOI 10.1093/nar/17.19.7843
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Figueiras FG, 2002, HYDROBIOLOGIA, V484, P121, DOI 10.1023/A:1021309222459
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC, V2nd, P45, DOI DOI 10.1002/9780470281840.CH3
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Henriques IS, 2004, FEMS MICROBIOL ECOL, V49, P269, DOI 10.1016/j.femsec.2004.04.003
Kasai Y, 2002, APPL ENVIRON MICROB, V68, P5625, DOI 10.1128/AEM.68.11.5625-5633.2002
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
LEE SM, 1994, BIOMETRICS, V50, P88, DOI 10.2307/2533199
LEKUNBERRI I, 2008, THESIS U POLITECNICA
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Maruyama A, 2003, MICROBIAL ECOL, V46, P442, DOI 10.1007/s00248-002-3010-z
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
McKew BA, 2007, ENVIRON MICROBIOL, V9, P165, DOI 10.1111/j.1462-2920.2006.01125.x
Methe BA, 1998, LIMNOL OCEANOGR, V43, P368, DOI 10.4319/lo.1998.43.2.0368
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P661, DOI 10.1128/AEM.68.2.661-667.2002
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Posada D, 1998, BIOINFORMATICS, V14, P817, DOI 10.1093/bioinformatics/14.9.817
Prokic I, 1998, PROTIST, V149, P347, DOI 10.1016/S1434-4610(98)70041-0
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2008, APPL ENVIRON MICROB, V74, P503, DOI 10.1128/AEM.01983-07
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Singleton DR, 2001, APPL ENVIRON MICROB, V67, P4374, DOI 10.1128/AEM.67.9.4374-4376.2001
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Teira E, 2007, ENVIRON MICROBIOL, V9, P2551, DOI 10.1111/j.1462-2920.2007.01373.x
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Zdanowski MK, 1999, MAR ECOL PROG SER, V182, P1, DOI 10.3354/meps182001
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 57
TC 38
Z9 42
PD DEC
PY 2009
VL 70
IS 3
BP 493
EP 505
DI 10.1111/j.1574-6941.2009.00766.x
UT WOS:000272348800015
DA 2025-07-30
ER
PT J
AU Zhao, ZH
Amano, C
Reinthaler, T
Orellana, MV
Herndl, GJ
AF Zhao, Zihao
Amano, Chie
Reinthaler, Thomas
Orellana, Monica V.
Herndl, Gerhard J.
TI Substrate uptake patterns shape niche separation in marine prokaryotic
microbiome
SO SCIENCE ADVANCES
DT Article
AB Marine heterotrophic prokaryotes primarily take up ambient substrates using transporters. The patterns of transporters targeting particular substrates shape the ecological role of heterotrophic prokaryotes in marine organic matter cycles. Here, we report a size-fractionated pattern in the expression of prokaryotic transporters throughout the oceanic water column due to taxonomic variations, revealed by a multi-"omics" approach targeting ATP-binding cassette (ABC) transporters and TonB-dependent transporters (TBDTs). Substrate specificity analyses showed that marine SAR11, Rhodobacterales, and Oceanospirillales use ABC transporters to take up organic nitrogenous compounds in the free-living fraction, while Alteromonadales, Bacteroidetes, and Sphingomonadales use TBDTs for carbon-rich organic matter and metal chelates on particles. The expression of transporter proteins also supports distinct lifestyles of deep-sea prokaryotes. Our results suggest that transporter divergency in organic matter assimilation reflects a pronounced niche separation in the prokaryote-mediated organic matter cycles.
C1 [Zhao, Zihao; Amano, Chie; Reinthaler, Thomas; Herndl, Gerhard J.] Univ Vienna, Dept Funct & Evolutionary Ecol, Biooceanog & Marine Biol Unit, Djerassipl 1, A-1030 Vienna, Austria.
[Orellana, Monica V.] Univ Washington, Polar Sci Ctr, Appl Phys Lab, Seattle, WA 98195 USA.
[Orellana, Monica V.] Inst Syst Biol, Seattle, WA 98109 USA.
[Herndl, Gerhard J.] Royal Netherlands Inst Sea Res, NIOZ, Dept Marine Microbiol & Biogeochem, Den Burg, Netherlands.
[Herndl, Gerhard J.] Univ Vienna, Environm & Climate Res Hub, Althanstr 14, A-1090 Vienna, Austria.
RP Zhao, ZH; Herndl, GJ (corresponding author), Univ Vienna, Dept Funct & Evolutionary Ecol, Biooceanog & Marine Biol Unit, Djerassipl 1, A-1030 Vienna, Austria.; Herndl, GJ (corresponding author), Royal Netherlands Inst Sea Res, NIOZ, Dept Marine Microbiol & Biogeochem, Den Burg, Netherlands.; Herndl, GJ (corresponding author), Univ Vienna, Environm & Climate Res Hub, Althanstr 14, A-1090 Vienna, Austria.
EM zihao.zhao@univie.ac.at; gerhard.herndl@univie.ac.at
CR Acinas SG, 2019, bioRxiv, DOI [10.1101/635680, 10.1101/635680, DOI 10.1101/635680]
Acinas SG, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02112-2
Amano C, 2022, NAT GEOSCI, V15, P1041, DOI 10.1038/s41561-022-01081-3
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Arnosti C, 2011, ANNU REV MAR SCI, V3, P401, DOI 10.1146/annurev-marine-120709-142731
Arrieta JM, 2015, SCIENCE, V348, P331, DOI 10.1126/science.1258955
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Baker BJ, 2013, ISME J, V7, P1962, DOI 10.1038/ismej.2013.85
Baltar F, 2010, AQUAT MICROB ECOL, V58, P287, DOI 10.3354/ame01377
Ben Francis T, 2021, ISME J, V15, P2336, DOI 10.1038/s41396-021-00928-8
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Blanvillain S, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000224
Boeuf D, 2019, P NATL ACAD SCI USA, V116, P11824, DOI 10.1073/pnas.1903080116
Boyd PW, 2019, NATURE, V568, P327, DOI 10.1038/s41586-019-1098-2
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Delmont TO, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-018-0209-4
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Doxey AC, 2015, ISME J, V9, P461, DOI 10.1038/ismej.2014.142
Ducklow Hugh W., 2001, Oceanography, V14, P50
ENG JK, 1994, J AM SOC MASS SPECTR, V5, P976, DOI 10.1016/1044-0305(94)80016-2
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Herndl GJ, 2023, ANNU REV MAR SCI, V15, P461, DOI 10.1146/annurev-marine-032122-115655
Herndl GJ, 2013, NAT GEOSCI, V6, P718, DOI [10.1038/ngeo1921, 10.1038/NGEO1921]
Hogle SL, 2014, METALLOMICS, V6, P1107, DOI 10.1039/c4mt00031e
Huerta-Cepas J, 2019, NUCLEIC ACIDS RES, V47, pD309, DOI 10.1093/nar/gky1085
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
ITTEKKOT V, 1984, DEEP-SEA RES, V31, P1071, DOI 10.1016/0198-0149(84)90013-X
Jagtap P, 2013, PROTEOMICS, V13, P1352, DOI 10.1002/pmic.201200352
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Kolde R, 2019, R Package Version
Kong LF, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.629802
Leu AO, 2022, MBIO, V13, DOI 10.1128/mbio.01569-22
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
Li M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9933
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Liu Q, 2022, MAR CHEM, V242, DOI 10.1016/j.marchem.2022.104121
Louropoulou E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61425-0
Luo HW, 2009, P NATL ACAD SCI USA, V106, P21219, DOI 10.1073/pnas.0907586106
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Milanese A, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08844-4
Mou XZ, 2011, ENV MICROBIOL REP, V3, P798, DOI 10.1111/j.1758-2229.2011.00289.x
Noell SE, 2021, MBIO, V12, DOI 10.1128/mBio.01091-21
Oksanen J., Community ecology package (R Package Version 2, 2013, P321
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Park J, 2023, LIMNOL OCEANOGR, V68, P1636, DOI 10.1002/lno.12373
Perez-Riverol Y, 2022, NUCLEIC ACIDS RES, V50, pD543, DOI 10.1093/nar/gkab1038
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Raina JB, 2022, NATURE, V605, P132, DOI 10.1038/s41586-022-04614-3
Rocca JD, 2015, ISME J, V9, P1693, DOI 10.1038/ismej.2014.252
Saier MH, 2021, NUCLEIC ACIDS RES, V49, pD461, DOI 10.1093/nar/gkaa1004
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Schroer WF, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00244-6
Sebastián M, 2024, LIMNOL OCEANOGR, V69, P562, DOI 10.1002/lno.12505
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Steglich C, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-5-r54
Steiner PA, 2019, ENVIRON MICROBIOL, V21, P3873, DOI 10.1111/1462-2920.14737
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
TANOUE E, 1987, OCEANOL ACTA, V10, P91
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Uchimiya M, 2018, LIMNOL OCEANOGR, V63, P2015, DOI 10.1002/lno.10821
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Wisniewski JR, 2018, METHODS MOL BIOL, V1841, P3, DOI 10.1007/978-1-4939-8695-8_1
Xiao X, 2021, ENV MICROBIOL REP, V13, P68, DOI 10.1111/1758-2229.12915
Zhang Y, 2015, ANAL CHEM, V87, P4749, DOI 10.1021/ac504740p
Zhao Z., 2023, REVIEW, DOI [10.21203/rs.3.rs-2727130/v1, DOI 10.21203/RS.3.RS-2727130/V1]
Zhao ZH, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz4354
NR 73
TC 10
Z9 10
PD MAY 15
PY 2024
VL 10
IS 20
AR eadn5143
DI 10.1126/sciadv.adn5143
UT WOS:001223256500007
DA 2025-07-30
ER
PT J
AU Kujawinski, EB
Longnecker, K
Blough, NV
Del Vecchio, R
Finlay, L
Kitner, JB
Giovannoni, SJ
AF Kujawinski, Elizabeth B.
Longnecker, Krista
Blough, Nell V.
Del Vecchio, Rossana
Finlay, Liam
Kitner, Joshua B.
Giovannoni, Stephen J.
TI Identification of possible source markers in marine dissolved organic
matter using ultrahigh resolution mass spectrometry
SO GEOCHIMICA ET COSMOCHIMICA ACTA
DT Article
AB Marine dissolved organic matter (DOM) is one of the most heterogeneous and largest pools of reactive carbon on earth, rivaling in mass the carbon in atmospheric carbon dioxide. Nevertheless, the molecular-level composition of marine DOM has eluded detailed description, impeding inquiry into the specific mechanisms that add or remove compounds from the DOM pool. Here we describe the molecular-level composition of C(18)-extracted DOM along an east-west transect of the North Atlantic Ocean. We examine the changes in DOM composition along this transect with ultrahigh resolution mass spectrometry and multivariate statistics. We use indicator species analysis (ISA) to identify possible source markers for photochemical degradation and heterotrophic bacterial metabolism. The inclusion of ISA in statistical evaluation of DOM mass spectral data allows investigators to determine the m/z values associated with significant changes in DOM composition. With this technique, we observe indicator m/z values in estuarine water that may represent components of terrestrially-derived chromophoric DOM subject to photochemical degradation. We also observe a unique set of m/z values in surface seawater and show that many of these are present in pure cultures of the marine alpha-proteobacterium "Candidatus Pelagibacter ubique" when grown in natural seawater. These findings indicate that a complex balance of abiotic and biotic processes controls the molecular composition of marine DOM to produce signatures that are characteristic of different environments. (C) 2009 Elsevier Ltd. All rights reserved.
C1 [Kujawinski, Elizabeth B.; Longnecker, Krista] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Blough, Nell V.] Univ Maryland, Dept Chem & Biochem, College Pk, MD 20742 USA.
[Del Vecchio, Rossana] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA.
[Finlay, Liam; Kitner, Joshua B.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Kujawinski, EB (corresponding author), Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, 360 Woods Hole Rd MS 4, Woods Hole, MA 02543 USA.
EM ekujawinski@whoi.edu
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Aluwihare LI, 2002, DEEP-SEA RES PT II, V49, P4421, DOI 10.1016/S0967-0645(02)00124-8
Amon RMW, 2001, LIMNOL OCEANOGR, V46, P287, DOI 10.4319/lo.2001.46.2.0287
Azam F., 1987, Bacterial utilization of organic matter in the sea
Benner R, 1998, LIMNOL OCEANOGR, V43, P1373, DOI 10.4319/lo.1998.43.6.1373
Blough N.V., 2002, BIOGEOCHEMISTRY MARI, P509
Bushaw KL, 1996, NATURE, V381, P404, DOI 10.1038/381404a0
Cammack WKL, 2004, LIMNOL OCEANOGR, V49, P2034, DOI 10.4319/lo.2004.49.6.2034
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Del Vecchio R, 2004, ENVIRON SCI TECHNOL, V38, P3885, DOI 10.1021/es049912h
Del Vecchio R, 2004, MAR CHEM, V89, P169, DOI 10.1016/j.marchem.2004.02.027
Dittmar T, 2008, LIMNOL OCEANOGR-METH, V6, P230, DOI 10.4319/lom.2008.6.230
Dittmar T, 2007, MAR CHEM, V107, P378, DOI 10.1016/j.marchem.2007.04.006
Dittmar T, 2006, MAR CHEM, V102, P208, DOI 10.1016/j.marchem.2006.04.003
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Goñi MA, 2000, ANAL CHEM, V72, P3116, DOI 10.1021/ac991316w
Gonsior M, 2009, ENVIRON SCI TECHNOL, V43, P698, DOI 10.1021/es8022804
GREEN SA, 1994, LIMNOL OCEANOGR, V39, P1903, DOI 10.4319/lo.1994.39.8.1903
Hansell D.A. Carlson C. A., 2002, BIOGEOCHEMISTRY MARI
Hatcher P.G., 1980, Org. Geochim, V2, P77, DOI [10.1016/0146-6380(80) 90023-6., DOI 10.1016/0146-6380(80)90023-6]
Hedges J.I., 1990, ORGANIC ACIDS AQUATI
Hedges J.I., 2002, BIOGEOCHEMISTRY MARI
HEDGES JI, 1982, ANAL CHEM, V54, P174, DOI 10.1021/ac00239a007
Hernes PJ, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001421
Hertkorn N, 2008, ANAL CHEM, V80, P8908, DOI 10.1021/ac800464g
Hughey CA, 2004, ORG GEOCHEM, V35, P863, DOI 10.1016/j.orggeochem.2004.02.008
KIEBER DJ, 1989, NATURE, V341, P637, DOI 10.1038/341637a0
KIEBER DJ, 2000, EFFECT UV RAD MARINE
Kim S, 2006, LIMNOL OCEANOGR, V51, P1054, DOI 10.4319/lo.2006.51.2.1054
Kim S, 2006, INT J MASS SPECTROM, V251, P260, DOI 10.1016/j.ijms.2006.02.001
Kim S, 2003, ANAL CHEM, V75, P5336, DOI 10.1021/ac034415p
Kim S, 2003, ORG GEOCHEM, V34, P1325, DOI 10.1016/S0146-6380(03)00101-3
Koch BP, 2008, MAR CHEM, V111, P233, DOI 10.1016/j.marchem.2008.05.008
Koch BP, 2005, GEOCHIM COSMOCHIM AC, V69, P3299, DOI 10.1016/j.gca.2005.02.027
KRUSKAL JB, 1964, PSYCHOMETRIKA, V29, P1, DOI 10.1007/BF02289565
Kujawinski EB, 2004, MAR CHEM, V92, P23, DOI 10.1016/j.marchem.2004.06.038
Kujawinski EB, 2002, ANAL CHEM, V74, P413, DOI 10.1021/ac0108313
Kujawinski EB, 2006, ANAL CHEM, V78, P4363, DOI 10.1021/ac0600306
Loh AN, 2004, NATURE, V430, P877, DOI 10.1038/nature02780
Louchouarn P, 2000, ANAL CHEM, V72, P2780, DOI 10.1021/ac9912552
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Mannino A, 1999, GEOCHIM COSMOCHIM AC, V63, P2219, DOI 10.1016/S0016-7037(99)00128-3
Marañón E, 2004, LIMNOL OCEANOGR, V49, P1652, DOI 10.4319/lo.2004.49.5.1652
Marshall AG, 1998, MASS SPECTROM REV, V17, P1, DOI 10.1002/(SICI)1098-2787(1998)17:1<1::AID-MAS1>3.0.CO;2-K
Mather PM., 1976, Computational methods of multivariate analysis in physical geography
McCallister SL, 2005, AQUAT MICROB ECOL, V40, P25, DOI 10.3354/ame040025
McCune B., 2002, Analysis of Ecological Communities
McIntyre C, 2005, ORG GEOCHEM, V36, P543, DOI 10.1016/j.orggeochem.2004.11.002
MEYERSSCHULTE KJ, 1986, NATURE, V321, P61, DOI 10.1038/321061a0
MOPPER K, 1991, NATURE, V353, P60, DOI 10.1038/353060a0
Mopper K., 2002, Biogeochemistry of Marine Dissolved Organic Matter
Moran MA, 1997, LIMNOL OCEANOGR, V42, P1307, DOI 10.4319/lo.1997.42.6.1307
Moran MA, 2000, LIMNOL OCEANOGR, V45, P1254, DOI 10.4319/lo.2000.45.6.1254
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Muddiman DC, 2005, ANAL CHEM, V77, P2406, DOI 10.1021/ac048258l
NAGATA T, 2000, MICROBIOL ECOLOGY OC
Nelson N.B. a. S., 2002, Biogeochemistry of Marine Dissolved Organic Matter, P547, DOI [10.1016/B978-012323841-2/50013-0, DOI 10.1016/B978-012323841-2/50013-0]
Obernosterer I, 2004, LIMNOL OCEANOGR, V49, P117, DOI 10.4319/lo.2004.49.1.0117
Opsahl S, 1997, NATURE, V386, P480, DOI 10.1038/386480a0
Pett-Ridge J, 2005, APPL ENVIRON MICROB, V71, P6998, DOI 10.1128/AEM.71.11.6998-7007.2005
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rosselló-Mora R, 2008, ISME J, V2, P242, DOI 10.1038/ismej.2007.93
Rostad CE, 2004, ANAL CHIM ACTA, V523, P269, DOI 10.1016/j.aca.2004.06.065
Rusch D B., PLOS BIOL, V5, P398
Schmitt-Kopplin P, 1998, ENVIRON SCI TECHNOL, V32, P2531, DOI 10.1021/es970636z
Seitzinger SP, 2005, LIMNOL OCEANOGR, V50, P1
Senko MW, 1996, RAPID COMMUN MASS SP, V10, P1839, DOI 10.1002/(SICI)1097-0231(199611)10:14<1839::AID-RCM718>3.0.CO;2-V
Senko MW, 1996, RAPID COMMUN MASS SP, V10, P1824
Sleighter RL, 2008, MAR CHEM, V110, P140, DOI 10.1016/j.marchem.2008.04.008
Sleighter RL, 2009, ORG GEOCHEM, V40, P119, DOI 10.1016/j.orggeochem.2008.09.012
Stenson AC, 2003, ANAL CHEM, V75, P1275, DOI 10.1021/ac026106p
Tranvik L, 1998, AQUAT MICROB ECOL, V14, P301, DOI 10.3354/ame014301
Tremblay LB, 2007, MAR CHEM, V105, P15, DOI 10.1016/j.marchem.2006.12.015
Vaillancourt RD, 2005, GEOCHEM GEOPHY GEOSY, V6, DOI 10.1029/2005GC000999
Vodacek A, 1997, LIMNOL OCEANOGR, V42, P674, DOI 10.4319/lo.1997.42.4.0674
NR 80
TC 201
Z9 237
PD AUG 1
PY 2009
VL 73
IS 15
BP 4384
EP 4399
DI 10.1016/j.gca.2009.04.033
UT WOS:000267876200006
DA 2025-07-30
ER
PT J
AU Zhou, Y
Zhu, HH
Yao, Q
AF Zhou, Yang
Zhu, Honghui
Yao, Qing
TI Contrasting P acquisition strategies of the bacterial communities
associated with legume and grass in subtropical orchard soil
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Phosphorus (P) cycling is a fundamental process driven by microorganisms, and plants can regulate P cycling directly or via their influence on the soil microbial community. However, the differential P cycling patterns associated with legumes and grass are largely unknown. Therefore, we investigated the microbial community involved in P cycling in subtropical soil grown with stylo (Stylosanthes guianensis, legume) or bahiagrass (Paspalum notatum, grass) using metagenomic sequencing. P fractionation indicated that sparingly soluble inorganic P (Pi) accounted for approximately 75% of P pool. Bacteria involved in sparingly soluble Pi solubilization (pqq, gad, JEN) were more abundant in bahiagrass soil, with Candidatus Pelagibacter, Trichodesmium, Neorickettsia, Nitrobacter, Paraburkholderia, Candidatus Solibacter, Burkholderia as major contributors. In contrast, bacteria involved in organic P (Po) mineralization (php, glpQ, phn) were more abundant in stylo soil, consistent with phosphatase activity and Frankia, Kyrpidia, Thermobispora, Streptomyces, Rhodococcus were major contributors. Bacteria taking up low molecular-weight Po were more abundant in stylo soil than in bahiagrass soil, while those taking up Pi were less abundant. These data suggest that bacterial communities associated with legumes and grass develop contrasting P acquisition strategies, highlighting the possibility of intercropping with legumes and grass for better P cycling.
C1 [Zhou, Yang; Yao, Qing] South China Agr Univ, Guangdong Prov Key Lab Microbial Signals & Dis Co, Guangdong Engn Res Ctr Grass Sci, Coll Hort,Guangdong Engn Ctr Litchi, Guangzhou 510642, Guangdong, Peoples R China.
[Zhou, Yang; Zhu, Honghui] Guangdong Inst Microbiol, State Key Lab Appl Microbiol Southern China, Guangdong Prov Key Lab Microbial Culture Collect, Guangzhou 510070, Guangdong, Peoples R China.
RP Yao, Q (corresponding author), South China Agr Univ, Guangdong Prov Key Lab Microbial Signals & Dis Co, Guangdong Engn Res Ctr Grass Sci, Coll Hort,Guangdong Engn Ctr Litchi, Guangzhou 510642, Guangdong, Peoples R China.; Zhu, HH (corresponding author), Guangdong Inst Microbiol, State Key Lab Appl Microbiol Southern China, Guangdong Prov Key Lab Microbial Culture Collect, Guangzhou 510070, Guangdong, Peoples R China.
EM zhuhh@gdim.cn; yaoqscau@scau.edu.cn
CR Allison VJ, 2007, SOIL BIOL BIOCHEM, V39, P1770, DOI 10.1016/j.soilbio.2007.02.006
de Lima PBA, 2016, MICROB CELL FACT, V15, DOI 10.1186/s12934-016-0557-9
An R, 2016, APPL ENVIRON MICROB, V82, P4955, DOI 10.1128/AEM.00813-16
Azeem M, 2015, ARCH AGRON SOIL SCI, V61, P751, DOI 10.1080/03650340.2014.963796
Bais HP, 2006, ANNU REV PLANT BIOL, V57, P233, DOI 10.1146/annurev.arplant.57.032905.105159
Becker A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00687
Bergkemper F, 2016, ENVIRON MICROBIOL, V18, P1988, DOI 10.1111/1462-2920.13188
Canellas LP, 2004, PESQUI AGROPECU BRAS, V39, P589, DOI 10.1590/S0100-204X2004000600011
CARADUS JR, 1980, NEW ZEAL J AGR RES, V23, P75
Chen CR, 2002, SOIL BIOL BIOCHEM, V34, P487, DOI 10.1016/S0038-0717(01)00207-3
COOK AM, 1978, J BACTERIOL, V133, P85, DOI 10.1128/JB.133.1.85-90.1978
Cui H, 2015, SOIL BIOL BIOCHEM, V82, P119, DOI 10.1016/j.soilbio.2015.01.003
Daniel R, 2005, NAT REV MICROBIOL, V3, P470, DOI 10.1038/nrmicro1160
de Werra P, 2009, APPL ENVIRON MICROB, V75, P4162, DOI 10.1128/AEM.00295-09
Dyhrman ST, 2006, NATURE, V439, P68, DOI 10.1038/nature04203
EIVAZI F, 1977, SOIL BIOL BIOCHEM, V9, P167, DOI 10.1016/0038-0717(77)90070-0
Fransson AM, 2007, SOIL BIOL BIOCHEM, V39, P1213, DOI 10.1016/j.soilbio.2006.11.014
Gustafsson JP, 2012, GEODERMA, V189, P304, DOI 10.1016/j.geoderma.2012.05.014
Haling RE, 2016, FUNCT PLANT BIOL, V43, P815, DOI 10.1071/FP16037
Hayes JE, 1999, AUST J PLANT PHYSIOL, V26, P801, DOI 10.1071/PP99065
Hsu PCL, 2015, ENV MICROBIOL REP, V7, P918, DOI 10.1111/1758-2229.12326
ISO, 2010, 22939 ISOTS
Iyalomhe O, 2014, BIOCHEMISTRY-US, V53, P7735, DOI 10.1021/bi5012173
Jones DL, 2011, SOIL BIOL, V26, P169, DOI 10.1007/978-3-642-15271-9_7
Jones DL, 1998, PLANT SOIL, V205, P25, DOI 10.1023/A:1004356007312
Kim OB, 2007, J BACTERIOL, V189, P1597, DOI 10.1128/JB.01402-06
Klenk HP, 2011, STAND GENOMIC SCI, V5, P121, DOI 10.4056/sigs.2144922
Kuhad RC., 2011, Bioaugmentation, Biostimulation and Biocontrol, P65, DOI [10.1007/978-3-642-19769-71, DOI 10.1007/978-3-642-19769-7, DOI 10.1007/978-3-642-19769-71]
Lidbury IDEA, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02327-6
Liu FP, 2014, BIOL FERT SOILS, V50, P927, DOI 10.1007/s00374-014-0913-z
Liu PD, 2016, J EXP BOT, V67, P4141, DOI 10.1093/jxb/erw190
Luo GW, 2017, BIOL FERT SOILS, V53, P375, DOI 10.1007/s00374-017-1183-3
Menezes-Blackburn D, 2018, PLANT SOIL, V427, P5, DOI 10.1007/s11104-017-3362-2
Ludueña LM, 2017, SYMBIOSIS, V72, P31, DOI 10.1007/s13199-016-0434-7
MOGHIMI A, 1978, SOIL BIOL BIOCHEM, V10, P283, DOI 10.1016/0038-0717(78)90023-8
Mondala A, 2017, ENVIRON PROG SUSTAIN, V36, P1810, DOI 10.1002/ep.12622
Nannipieri P, 2011, SOIL BIOL, V26, P215, DOI 10.1007/978-3-642-15271-9_9
Oteino N, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00745
Peiffer JA, 2013, P NATL ACAD SCI USA, V110, P6548, DOI 10.1073/pnas.1302837110
QUINN JP, 1989, APPL MICROBIOL BIOT, V31, P283, DOI 10.1007/BF00258410
Ragot SA, 2016, PLANT SOIL, V408, P15, DOI 10.1007/s11104-016-2902-5
Richardson AE, 2011, PLANT PHYSIOL, V156, P989, DOI 10.1104/pp.111.175448
Richardson AE, 2009, CROP PASTURE SCI, V60, P124, DOI 10.1071/CP07125
Romanyà J, 2017, SOIL BIOL BIOCHEM, V113, P250, DOI 10.1016/j.soilbio.2017.06.015
Silva UC, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01266
SMITH VH, 1992, BIOGEOCHEMISTRY, V18, P19, DOI 10.1007/BF00000424
Spohn M, 2013, SOIL BIOL BIOCHEM, V67, P106, DOI 10.1016/j.soilbio.2013.08.015
Tan H, 2013, BIOL FERT SOILS, V49, P661, DOI 10.1007/s00374-012-0755-5
Turner BL, 2001, NATURE, V411, P258, DOI 10.1038/35077146
Turner TR, 2013, ISME J, V7, P2248, DOI 10.1038/ismej.2013.119
UDO EJ, 1977, SOIL SCI SOC AM J, V41, P1141, DOI 10.2136/sssaj1977.03615995004100060026x
WACKETT LP, 1987, J BACTERIOL, V169, P710, DOI 10.1128/jb.169.2.710-717.1987
Wagh J, 2016, PLANT SOIL, V409, P51, DOI 10.1007/s11104-016-2937-7
Walker AW, 2014, TRENDS MICROBIOL, V22, P267, DOI 10.1016/j.tim.2014.03.001
Weisskopf L, 2008, SOIL BIOL BIOCHEM, V40, P1772, DOI 10.1016/j.soilbio.2008.02.018
Whitelaw MA, 2000, ADV AGRON, V69, P99
Yan X, 2017, GEODERMA, V295, P80, DOI 10.1016/j.geoderma.2017.02.012
Yang L, 2017, MICROB CELL FACT, V16, DOI 10.1186/s12934-017-0660-6
Yang Z, 2017, GRASS FORAGE SCI, V72, P93, DOI 10.1111/gfs.12199
Zaidi A, 2009, MICROBIAL STRATEGIES FOR CROP IMPROVEMENT, P23, DOI 10.1007/978-3-642-01979-1_2
Zhang FS, 1997, PLANT SOIL, V196, P261, DOI 10.1023/A:1004214410785
Zhou Y, 2017, AGRO-ENVIRONMENTAL SUSTAINABILITY, VOL 1: MANAGING CROP HEALTH, P149, DOI 10.1007/978-3-319-49724-2_8
Zhou Y, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-10613-6
Zhou Y, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01007
ZOU XM, 1992, PLANT SOIL, V147, P243, DOI 10.1007/BF00029076
NR 65
TC 21
Z9 23
PD JUN
PY 2018
VL 10
IS 3
BP 310
EP 319
DI 10.1111/1758-2229.12641
UT WOS:000433572100010
DA 2025-07-30
ER
PT J
AU Kim, JG
Park, SJ
Quan, ZX
Jung, MY
Cha, IT
Kim, SJ
Kim, KH
Yang, EJ
Kim, YN
Lee, SH
Rhee, SK
AF Kim, Jong-Geol
Park, Soo-Je
Quan, Zhe-Xue
Jung, Man-Young
Cha, In-Tae
Kim, So-Jeong
Kim, Kyoung-Ho
Yang, Eun-Jin
Kim, Young-Nam
Lee, Sang-Hoon
Rhee, Sung-Keun
TI Unveiling abundance and distribution of planktonic Bacteria and Archaea
in a polynya in Amundsen Sea, Antarctica
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Polynyas, areas of open water surrounded by sea ice, are sites of intense primary production and ecological hotspots in the Antarctic Ocean. This study determined the spatial variation in communities of prokaryotes in a polynya in the Amundsen Sea using 454 pyrosequencing technology, and the results were compared with biotic and abiotic environmental factors. The bacterial abundance was correlated with that of phytoplankton, Phaeocystis spp. and diatoms. A cluster analysis indicated that the bacterial communities in the surface waters of the polynya were distinct from those under the sea ice. Overall, two bacterial clades, Polaribacter (20-64%) and uncultivated Oceanospirillaceae (7-34%), dominated the surface water in the polynya while the Pelagibacter clade was abundant at all depths (7-42%). The archaeal communities were not as diverse as the bacterial communities in the polynya, and marine group I was dominant (>80%). Canonical correspondence analysis indicated that the oceanographic properties facilitated the development of distinct prokaryotic assemblages in the polynya. This analysis of the diversity and composition of the psychrophilic prokaryotes associated with high phytoplankton production provides new insights into the roles of prokaryotes in biogeochemical cycles in high-latitude polynyas.
C1 [Kim, Jong-Geol; Jung, Man-Young; Cha, In-Tae; Kim, So-Jeong; Rhee, Sung-Keun] Chungbuk Natl Univ, Dept Microbiol, Cheongju 361763, South Korea.
[Park, Soo-Je] Jeju Natl Univ, Dept Biol, Cheju 690756, South Korea.
[Quan, Zhe-Xue] Fudan Univ, Sch Life Sci, Dept Microbiol & Microbial Engn, Shanghai 200433, Peoples R China.
[Kim, Kyoung-Ho] Pukyong Natl Univ, Dept Microbiol, Pusan 608737, South Korea.
[Yang, Eun-Jin; Kim, Young-Nam; Lee, Sang-Hoon] Korea Polar Res Inst, Div Polar Climate Res, Inchon 406840, South Korea.
[Kim, Young-Nam] Korea Marine Environm Management Corp KOEM, Marine Ecosyst Management Team, Seoul 135870, South Korea.
RP Rhee, SK (corresponding author), Chungbuk Natl Univ, Dept Microbiol, 12 Gaeshin Dong, Cheongju 361763, South Korea.
EM rhees@chungbuk.ac.kr
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2011, ENV MICROBIOL REP, V3, P689, DOI 10.1111/j.1758-2229.2011.00282.x
Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
Arrigo KR, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001739
Ayton J, 2010, ENVIRON MICROBIOL, V12, P689, DOI 10.1111/j.1462-2920.2009.02111.x
Barber DG, 2007, ELSEV OCEANOGR SERIE, V74, P1, DOI 10.1016/S0422-9894(06)74001-6
Bowman JS, 2012, ISME J, V6, P11, DOI 10.1038/ismej.2011.76
Bowman JP, 2003, APPL ENVIRON MICROB, V69, P2463, DOI 10.1128/AEM.69.5.2463-2483.2003
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
Cole JR, 2007, NUCLEIC ACIDS RES, V35, pD169, DOI 10.1093/nar/gkl889
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
Díez B, 2012, ENV MICROBIOL REP, V4, P360, DOI 10.1111/j.1758-2229.2012.00343.x
French E, 2012, APPL ENVIRON MICROB, V78, P5773, DOI 10.1128/AEM.00432-12
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Herfort L, 2007, FEMS MICROBIOL ECOL, V62, P242, DOI 10.1111/j.1574-6941.2007.00397.x
Horner-Devine MC, 2003, ECOL LETT, V6, P613
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Jenkins A, 2010, NAT GEOSCI, V3, P468, DOI 10.1038/NGEO890
Johnston AWB, 2005, TRENDS MICROBIOL, V13, P416, DOI 10.1016/j.tim.2005.07.002
Juck D, 2000, FEMS MICROBIOL ECOL, V33, P241, DOI 10.1111/j.1574-6941.2000.tb00746.x
KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kumar S, 2004, BRIEF BIOINFORM, V5, P150, DOI 10.1093/bib/5.2.150
Lee JH, 2012, J MICROBIOL, V50, P181, DOI 10.1007/s12275-012-1214-6
López-García P, 2001, FEMS MICROBIOL ECOL, V36, P193, DOI 10.1016/S0168-6496(01)00133-7
Lozupone C, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-371
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Miller LA, 2007, ELSEV OCEANOGR SERIE, V74, P163, DOI 10.1016/S0422-9894(06)74005-3
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Ovreas L, 1997, APPL ENVIRON MICROB, V63, P3367
Park BJ, 2010, APPL ENVIRON MICROB, V76, P7575, DOI 10.1128/AEM.01478-10
Park SJ, 2008, EXTREMOPHILES, V12, P605, DOI 10.1007/s00792-008-0165-7
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Qian PY, 2011, ISME J, V5, P507, DOI 10.1038/ismej.2010.112
SIEGENTHALER U, 1984, NATURE, V308, P624, DOI 10.1038/308624a0
Smith WO, 1997, GEOPHYS RES LETT, V24, P233, DOI 10.1029/96GL03926
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
STOECKER DK, 1995, J MAR BIOL ASSOC UK, V75, P815, DOI 10.1017/S0025315400038170
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Taton A, 2003, APPL ENVIRON MICROB, V69, P5157, DOI 10.1128/AEM.69.9.5157-5169.2003
Vickerman MM, 2007, J MED MICROBIOL, V56, P110, DOI 10.1099/jmm.0.46835-0
WEISSE T, 1994, J MARINE SYST, V5, P67, DOI 10.1016/0924-7963(94)90017-5
NR 57
TC 34
Z9 36
PD JUN
PY 2014
VL 16
IS 6
SI SI
BP 1566
EP 1578
DI 10.1111/1462-2920.12287
UT WOS:000337512000011
DA 2025-07-30
ER
PT J
AU Kato, S
Nakawake, M
Kita, J
Yamanaka, T
Utsumi, M
Okamura, K
Ishibashi, J
Ohkuma, M
Yamagishi, A
AF Kato, Shingo
Nakawake, Michiyuki
Kita, Junko
Yamanaka, Toshiro
Utsumi, Motoo
Okamura, Kei
Ishibashi, Jun-ichiro
Ohkuma, Moriya
Yamagishi, Akihiko
TI Characteristics of microbial communities in crustal fluids in a deep-sea
hydrothermal field of the Suiyo Seamount
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB To directly access the sub-seafloor microbial communities, seafloor drilling has been done in a deep-sea hydrothermal field of the Suiyo Seamount, Izu-Bonin Arc, Western Pacific. In the present study, crustal fluids were collected from the boreholes, and the bacterial and archaeal communities in the fluids were investigated by culture-independent molecular analysis based on 16S rRNA gene sequences. Bottom seawater, sands, rocks, sulfide mound, and chimneys were also collected around the boreholes and analyzed for comparisons. Comprehensive analysis revealed the characteristics of the microbial community composition in the crustal fluids. Phylotypes closely related to cultured species, e.g., Alteromonas, Halomonas, Marinobacter, were relatively abundant in some crustal fluid samples, whereas the phylotypes related to Pelagibacter and the SUP05-group were relatively abundant in the seawater samples. Phylotypes related to other uncultured environmental clones in Alphaproteobacteria and Gammaproteobacteria were relatively abundant in the sand, rock, sulfide mound, and chimney samples. Furthermore, comparative analysis with previous studies of the Suiyo Seamount crustal fluids indicates the change in the microbial community composition for 3years. Our results provide novel insights into the characteristics of the microbial communities in crustal fluids beneath a deep-sea hydrothermal field.
C1 [Kato, Shingo; Ohkuma, Moriya] RIKEN BioResource Ctr, Japan Collect Microorganisms, Wako, Saitama, Japan.
[Kato, Shingo; Nakawake, Michiyuki; Kita, Junko; Yamagishi, Akihiko] Tokyo Univ Pharm & Life Sci, Dept Mol Biol, Hachioji, Tokyo 1920392, Japan.
[Yamanaka, Toshiro] Okayama Univ, Grad Sch Nat Sci & Technol, Tsushima, Okayama, Japan.
[Utsumi, Motoo] Univ Tsukuba, Grad Sch Life & Environm Sci, Tsukuba, Ibaraki, Japan.
[Okamura, Kei] Kochi Univ, Ctr Adv Marine Core Res, Nankoku, Kochi, Japan.
[Ishibashi, Jun-ichiro] Kyushu Univ, Fac Sci, Dept Earth & Planetary Sci, Higashi Ku, Fukuoka 812, Japan.
RP Yamagishi, A (corresponding author), Tokyo Univ Pharm & Life Sci, Dept Mol Biol, 1432-1 Horinouchi, Hachioji, Tokyo 1920392, Japan.
EM yamagish@toyaku.ac.jp
CR Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Cowen JP, 2003, SCIENCE, V299, P120, DOI 10.1126/science.1075653
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
Durbin AM, 2010, ENV MICROBIOL REP, V2, P693, DOI 10.1111/j.1758-2229.2010.00163.x
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Hamady M, 2010, ISME J, V4, P17, DOI 10.1038/ismej.2009.97
Hara K, 2005, ADV SPACE RES-SERIES, V35, P1634, DOI 10.1016/j.asr.2005.04.111
Higashi Y, 2004, FEMS MICROBIOL ECOL, V47, P327, DOI 10.1016/S0168-6496(04)00004-2
Huber JA, 2006, ENVIRON MICROBIOL, V8, P88, DOI 10.1111/j.1462-2920.2005.00872.x
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kato S, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00089
Kato S, 2012, EXTREMOPHILES, V16, P277, DOI 10.1007/s00792-011-0428-6
Kato S, 2010, APPL ENVIRON MICROB, V76, P2968, DOI 10.1128/AEM.00478-10
Kato S, 2009, ENVIRON MICROBIOL, V11, P3210, DOI 10.1111/j.1462-2920.2009.02031.x
Kato S, 2009, ENVIRON MICROBIOL, V11, P2094, DOI 10.1111/j.1462-2920.2009.01930.x
Kato S, 2009, DEEP-SEA RES PT I, V56, P1844, DOI 10.1016/j.dsr.2009.05.004
Kaye JZ, 2011, FEMS MICROBIOL ECOL, V75, P123, DOI 10.1111/j.1574-6941.2010.00984.x
Kinoshita M, 2006, EARTH PLANET SC LETT, V245, P498, DOI 10.1016/j.epsl.2006.02.006
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lee ZMP, 2009, NUCLEIC ACIDS RES, V37, pD489, DOI 10.1093/nar/gkn689
Marumo K, 2008, RESOUR GEOL, V58, P220, DOI 10.1111/j.1751-3928.2008.00059.x
Mori H, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-332
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nakagawa T, 2004, APPL ENVIRON MICROB, V70, P393, DOI 10.1128/AEM.70.1.393-403.2004
Nitahara S, 2011, FEMS MICROBIOL LETT, V321, P121, DOI 10.1111/j.1574-6968.2011.02323.x
Orcutt BN, 2011, MICROBIOL MOL BIOL R, V75, P361, DOI 10.1128/MMBR.00039-10
Orcutt BN, 2011, ISME J, V5, P692, DOI 10.1038/ismej.2010.157
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schrenk MO, 2010, ANNU REV MAR SCI, V2, P279, DOI 10.1146/annurev-marine-120308-081000
Sunamura M, 2004, APPL ENVIRON MICROB, V70, P1190, DOI 10.1128/AEM.70.2.1190-1198.2004
Takai K, 2009, ENVIRON MICROBIOL, V11, P1983, DOI 10.1111/j.1462-2920.2009.01921.x
Toki T, 2008, J GEOPHYS RES-SOL EA, V113, DOI 10.1029/2007JB005476
Urabe T., 2002, EOS T AM GEOPHYS UNI
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
NR 35
TC 19
Z9 20
PD APR 17
PY 2013
VL 4
AR 85
DI 10.3389/fmicb.2013.00085
UT WOS:000331051700001
DA 2025-07-30
ER
PT J
AU Espinosa-Asuar, L
Escalante, AE
Falcón, LI
Bonilla-Rosso, G
Ramírez-Barahona, S
Eguiarte, LE
Souza, V
AF Espinosa-Asuar, Laura
Escalante, Ana E.
Falcon, Luisa I.
Bonilla-Rosso, German
Ramirez-Barahona, Santiago
Eguiarte, Luis E.
Souza, Valeria
TI Analysis of three molecular methods to describe sea Yucatan, Mexico
environmental prokaryotic taxa
SO HIDROBIOLOGICA
DT Article
AB In this study we describe a prokaryotic community from a seawater sample obtained in the Yucatan Channel, using for this purpose three molecular methods: 1) T-RFLPs. 2) Sequencing of amplicons (clone libraries). 3) Metagenome shotgun sequencing; the three are useful for the determination of microbial diversity. We also present a comparison of the scope and limits of each method. The comparison took into account three criteria: the number of taxonomic units detected, the taxonomic assignment accuracy and the cost of the study. The most abundant taxa were Candidatus Portiera OTU 3744 (equivalent to SAR86 clade) and Candidatus Pelagibacter. The results showed that the shotgun sequencing strategy is the most powerful in terms of detected taxonomic units, while the data obtained by T-RFLPs and clone library methods represent only a subsample of the shotgun fragment library. Regarding phylogenetic resolution (taxonomical determination), the more accurate approach is the sequencing of clone libraries. The costs of the three strategies vary considerably, but so does its scope. Therefore, it is important to consider that one, or another methodology, can only specifically answer some ecological and evolutionary questions.
C1 [Espinosa-Asuar, Laura; Falcon, Luisa I.; Bonilla-Rosso, German; Ramirez-Barahona, Santiago; Eguiarte, Luis E.; Souza, Valeria] Univ Nacl Autonoma Mexico, Inst Ecol, Dept Ecol Evolut, Mexico City 04510, DF, Mexico.
[Escalante, Ana E.] Univ Nacl Autonoma Mexico, Inst Ecol, Dept Ecol Biodiversidad, Mexico City 04510, DF, Mexico.
RP Espinosa-Asuar, L (corresponding author), Univ Nacl Autonoma Mexico, Inst Ecol, Dept Ecol Evolut, AP 70-275, Mexico City 04510, DF, Mexico.
EM souza@unam.mx
CR Allison SD, 2013, ECOLOGY, V94, P714, DOI 10.1890/12-1243.1
Altschul S. F., 1990, J MOL BIOL, V215, P403, DOI DOI 10.1016/S0022-2836
[Anonymous], DIV BIOL MEX EST PAI
[Anonymous], TIP REV ESPECIALIZAD
Ashelford KE, 2006, APPL ENVIRON MICROB, V72, P5734, DOI 10.1128/AEM.00556-06
Barton AD, 2010, SCIENCE, V327, P1509, DOI 10.1126/science.1184961
Bonilla-Rosso G, 2012, ASTROBIOLOGY, V12, P659, DOI 10.1089/ast.2011.0724
Bonilla-Rosso Germán, 2008, TIP, V11, P41
Brown MV, 2007, AQUAT MICROB ECOL, V46, P107, DOI 10.3354/ame046107
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cole JR, 2003, NUCLEIC ACIDS RES, V31, P442, DOI 10.1093/nar/gkg039
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Erwin PM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0026806
Escalante AE, 2008, FEMS MICROBIOL ECOL, V65, P50, DOI 10.1111/j.1574-6941.2008.00496.x
Falcón LI, 2008, MAR GENOM, V1, P55, DOI 10.1016/j.margen.2008.06.005
Fierer N, 2006, P NATL ACAD SCI USA, V103, P626, DOI 10.1073/pnas.0507535103
Fierer N, 2011, AM J BOT, V98, P439, DOI 10.3732/ajb.1000498
Frank JA, 2008, APPL ENVIRON MICROB, V74, P2461, DOI 10.1128/AEM.02272-07
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Green JL, 2008, SCIENCE, V320, P1039, DOI 10.1126/science.1153475
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Hall T. A., NUCL ACIDS S SER, V41, P95
Hao XL, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0049785
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Jin HM, 2012, ENVIRON SCI TECHNOL, V46, P7731, DOI 10.1021/es3018545
Keane TM, 2006, BMC EVOL BIOL, V6, DOI 10.1186/1471-2148-6-29
Lavin P, 2008, REV CHIL HIST NAT, V81, P515
Lindström ES, 2012, ENV MICROBIOL REP, V4, P1, DOI 10.1111/j.1758-2229.2011.00257.x
Madigan M.T., 2006, Brock Biology of Microorganisms, VTwelevth
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
Nazaries L, 2013, APPL ENVIRON MICROB, V79, P4031, DOI 10.1128/AEM.00095-13
Noguez AM, 2005, GLOBAL ECOL BIOGEOGR, V14, P241, DOI 10.1111/j.1466-822x.2005.00156.x
Noguez AM, 2008, BIOGEOCHEMISTRY, V89, P209, DOI 10.1007/s10533-008-9214-7
Osborn AM, 2000, ENVIRON MICROBIOL, V2, P39, DOI 10.1046/j.1462-2920.2000.00081.x
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Peimbert M, 2012, ASTROBIOLOGY, V12, P648, DOI 10.1089/ast.2011.0694
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Reed HE, 2013, ISME J, V7, P868, DOI 10.1038/ismej.2012.154
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
RZEDOWSKI J., 2006, VEGETACIEN MEXICO
Segata N, 2013, MOL SYST BIOL, V9, DOI 10.1038/msb.2013.22
Simon C, 2011, APPL ENVIRON MICROB, V77, P1153, DOI 10.1128/AEM.02345-10
Skovhus TL, 2007, FEMS MICROBIOL ECOL, V61, P348, DOI 10.1111/j.1574-6941.2007.00339.x
Stackebrandt E., 2006, Microbiology Today, V33, P152
Suenaga H, 2012, ENVIRON MICROBIOL, V14, P13, DOI 10.1111/j.1462-2920.2011.02438.x
Swofford D. L., 2003, PAUP PHYLOGENETIC AN
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Thomas Torsten, 2012, Microb Inform Exp, V2, P3, DOI 10.1186/2042-5783-2-3
Turner S, 1999, J EUKARYOT MICROBIOL, V46, P327, DOI 10.1111/j.1550-7408.1999.tb04612.x
van den Bogert B, 2011, APPL ENVIRON MICROB, V77, P2071, DOI 10.1128/AEM.02477-10
Williamson SJ, 2012, METHODS MOL BIOL, V804, P35, DOI 10.1007/978-1-61779-361-5_3
Woodcock S, 2007, FEMS MICROBIOL ECOL, V62, P171, DOI 10.1111/j.1574-6941.2007.00379.x
Wright ES, 2012, APPL ENVIRON MICROB, V78, P717, DOI 10.1128/AEM.06516-11
Yilmaz P, 2012, FEMS MICROBIOL ECOL, V81, P373, DOI 10.1111/j.1574-6941.2012.01357.x
Yoccoz NG, 2012, MOL ECOL, V21, P2031, DOI 10.1111/j.1365-294X.2012.05505.x
Zarraonaindia I, 2013, BIOL PHILOS, V28, P261, DOI 10.1007/s10539-012-9357-8
Zhao DY, 2012, WORLD J MICROB BIOT, V28, P3159, DOI 10.1007/s11274-012-1126-y
Zheng Q, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025050
NR 66
TC 0
Z9 1
PD DEC
PY 2014
VL 24
IS 3
BP 257
EP 270
UT WOS:000353094000009
DA 2025-07-30
ER
PT J
AU Bryson, S
Li, Z
Pett-Ridge, J
Hettich, RL
Mayali, X
Pan, C
Mueller, RS
AF Bryson, Samuel
Li, Zhou
Pett-Ridge, Jennifer
Hettich, Robert L.
Mayali, Xavier
Pan, Chongle
Mueller, Ryan S.
TI Proteomic Stable Isotope Probing Reveals Taxonomically Distinct Patterns
in Amino Acid Assimilation by Coastal Marine Bacterioplankton
SO MSYSTEMS
DT Article
AB Heterotrophic marine bacterioplankton are a critical component of the carbon cycle, processing nearly a quarter of annual primary production, yet defining how substrate utilization preferences and resource partitioning structure microbial communities remains a challenge. In this study, proteomic stable isotope probing (proteomic SIP) was used to characterize population-specific assimilation of dissolved free amino acids (DFAAs), a major source of dissolved organic carbon for bacterial secondary production in aquatic environments. Microcosms of seawater collected from Newport, Oregon, and Monterey Bay, California, were incubated with 1 mu M C-13-labeled amino acids for 15 and 32 h. The taxonomic compositions of microcosm metaproteomes were highly similar to those of the sampled natural communities, with Rhodobacteriales, SAR11, and Flavobacteriales representing the dominant taxa. Analysis of C-13 incorporation into protein biomass allowed for quantification of the isotopic enrichment of identified proteins and subsequent determination of differential amino acid assimilation patterns between specific bacterioplankton populations. Proteins associated with Rhodobacterales tended to have a significantly high frequency of C-13-enriched peptides, opposite the trend for Flavobacteriales and SAR11 proteins. Rhodobacterales proteins associated with amino acid transport and metabolism had an increased frequency of C-13-enriched spectra at time point 2. Alteromonadales proteins also had a significantly high frequency of C-13-enriched peptides, particularly within ribosomal proteins, demonstrating their rapid growth during incubations. Overall, proteomic SIP facilitated quantitative comparisons of DFAA assimilation by specific taxa, both between sympatric populations and between protein functional groups within discrete populations, allowing an unprecedented examination of population level metabolic responses to resource acquisition in complex microbial communities.
IMPORTANCE An estimated 50 gigatons of carbon is annually fixed within marine systems, of which heterotrophic microbial populations process nearly half. These communities vary in composition and activity across spatial and temporal scales, so understanding how these changes affect global processes requires the delineation of functional roles for individual members. In a step toward ascertaining these roles, we applied proteomic stable isotope probing to quantify the assimilation of organic carbon from DFAAs into microbial protein biomass, since the turnover of DFAAs accounts for a substantial fraction of marine microbial carbon metabolism that is directed into biomass production. We conducted experiments at two coastal North Pacific locations and found taxonomically distinct responses. This approach allowed us to compare amino acid assimilation by specific bacterioplankton populations and characterize their allocation of this substrate among cellular functions.
C1 [Bryson, Samuel; Mueller, Ryan S.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Li, Zhou; Hettich, Robert L.; Pan, Chongle] Univ Tennessee, Knoxville, TN 37996 USA.
[Li, Zhou; Hettich, Robert L.; Pan, Chongle] Oak Ridge Natl Lab, Oak Ridge, TN 37830 USA.
[Pett-Ridge, Jennifer; Mayali, Xavier] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA.
RP Mueller, RS (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM ryan.mueller@oregonstate.edu
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V53, P379, DOI 10.1016/j.femsec.2005.01.008
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
ANDREWS P, 1971, J MAR BIOL ASSOC UK, V51, P111, DOI 10.1017/S0025315400006500
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Boisvert S, 2012, GENOME BIOL, V13, DOI 10.1186/gb-2012-13-12-r122
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
CRAWFORD CC, 1974, ECOLOGY, V55, P551, DOI 10.2307/1935146
DeLorenzo S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046695
Dumont MG, 2005, NAT REV MICROBIOL, V3, P499, DOI 10.1038/nrmicro1162
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Hettich RL, 2012, CURR OPIN MICROBIOL, V15, P373, DOI 10.1016/j.mib.2012.04.008
HOBBIE JE, 1968, SCIENCE, V159, P1463, DOI 10.1126/science.159.3822.1463
Hyatt D, 2012, BIOINFORMATICS, V28, P2223, DOI 10.1093/bioinformatics/bts429
Hyatt D, 2012, BIOINFORMATICS, V28, P1895, DOI 10.1093/bioinformatics/bts274
Jehmlich N, 2008, ISME J, V2, P1122, DOI 10.1038/ismej.2008.64
Jehmlich N, 2010, NAT PROTOC, V5, P1957, DOI 10.1038/nprot.2010.166
Justice NB, 2014, ENVIRON MICROBIOL, V16, P3224, DOI 10.1111/1462-2920.12488
KEIL RG, 1991, MAR ECOL PROG SER, V73, P1, DOI 10.3354/meps073001
Kirchman DL., 2003, Aquatic Ecosystems: Interactivity of Dissolved Organic Matter, P217, DOI DOI 10.1016/B978-012256371-3/50010-X
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Li Z, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5405
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mayali X, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095842
Mayali X, 2013, FEMS MICROBIOL ECOL, V83, P402, DOI 10.1111/j.1574-6941.12000.x
Mayali X, 2012, ISME J, V6, P1210, DOI 10.1038/ismej.2011.175
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Mueller RS, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.00341-15
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Neufeld JD, 2007, MICROB ECOL, V53, P435, DOI 10.1007/s00248-006-9125-x
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nikrad MP, 2014, APPL ENVIRON MICROB, V80, P3362, DOI 10.1128/AEM.00121-14
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Pan CL, 2011, MOL CELL PROTEOMICS, V10, DOI 10.1074/mcp.M110.006049
POCKLINGTON R, 1972, ANAL BIOCHEM, V45, P403, DOI 10.1016/0003-2697(72)90202-3
POMEROY LR, 1968, DEEP-SEA RES, V15, P381, DOI 10.1016/0011-7471(68)90014-4
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
Powell S, 2014, NUCLEIC ACIDS RES, V42, pD231, DOI 10.1093/nar/gkt1253
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Seifert J, 2012, MASS SPECTROM REV, V31, P683, DOI 10.1002/mas.21346
Shi YM, 2012, ENVIRON MICROBIOL, V14, P191, DOI 10.1111/j.1462-2920.2011.02598.x
SIEGEL A, 1966, SCIENCE, V151, P1098, DOI 10.1126/science.151.3714.1098
Slysz GW, 2014, J PROTEOME RES, V13, P1200, DOI 10.1021/pr400633j
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stewart FJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0037118
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Taubert M, 2012, ISME J, V6, P2291, DOI 10.1038/ismej.2012.68
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Treangen Todd J, 2011, Curr Protoc Bioinformatics, VChapter 11, DOI 10.1002/0471250953.bi1108s33
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wang DZ, 2014, J PROTEOMICS, V97, P27, DOI 10.1016/j.jprot.2013.08.024
Wang YF, 2013, BIOINFORMATICS, V29, P2064, DOI 10.1093/bioinformatics/btt329
Washburn MP, 2001, NAT BIOTECHNOL, V19, P242, DOI 10.1038/85686
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Williams P. J. le B., 2000, LOWER ORG THEIR ROLE, V5, P1
WILLIAMS PJ, 1970, J MAR BIOL ASSOC UK, V50, P871, DOI 10.1017/S0025315400005853
WILLIAMS PJ, 1970, J MAR BIOL ASSOC UK, V50, P859, DOI 10.1017/S0025315400005841
Williams TJ, 2014, TRENDS MICROBIOL, V22, P248, DOI 10.1016/j.tim.2014.03.004
Wisniewski JR, 2009, NAT METHODS, V6, P359, DOI [10.1038/nmeth.1322, 10.1038/NMETH.1322]
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
NR 83
TC 31
Z9 32
PD MAR-APR
PY 2016
VL 1
IS 2
AR e00027-15
DI 10.1128/mSystems.00027-15
UT WOS:000408191200002
DA 2025-07-30
ER
PT J
AU Alonso-Sáez, L
Morán, XAG
Clokie, MRJ
AF Alonso-Saez, Laura
Moran, Xose Anxelu G.
Clokie, Martha R. J.
TI Low activity of lytic pelagiphages in coastal marine waters
SO ISME JOURNAL
DT Article
AB Phages infect marine bacteria impacting their dynamics, diversity and physiology, but little is known about specific phage-host interactions in situ. We analyzed the joint dynamics in the abundance of phage-related transcripts, as an indicator of viral lytic activity, and their potential hosts using a metatranscriptomic dataset obtained over 2 years in coastal temperate waters of the NE Atlantic. Substantial temporal variability was identified in the expression levels of different phages, likely in response to host availability. Indeed, a significant positive relationship between the abundance of transcripts from some of the most abundant phage types (infecting SAR11, SAR116 and cyanobacteria) and their putative hosts was found. Yet, the ratio of increase in phage transcripts per host cell was significantly lower for pelagiphages than for the HMO-2011 phage, which infects SAR116. Despite the high abundance of pelagiphages in the ocean, they may be less active than other phage types in coastal waters.
C1 [Alonso-Saez, Laura] AZTI, Marine Res Div, Sukarrieta, Spain.
[Alonso-Saez, Laura] Ctr Oceanog Gijon Xixon, IEO, Gijon, Xixon, Spain.
[Moran, Xose Anxelu G.] KAUST, Red Sea Res Ctr, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia.
[Clokie, Martha R. J.] Univ Leicester, Dept Infect Immun & Inflammat, Leicester, Leics, England.
RP Alonso-Sáez, L (corresponding author), AZTI, Marine Res Div, Sukarrieta, Spain.; Alonso-Sáez, L (corresponding author), Ctr Oceanog Gijon Xixon, IEO, Gijon, Xixon, Spain.
EM laura@azti.es
CR Alonso-Sáez L, 2012, LIMNOL OCEANOGR, V57, P798, DOI 10.4319/lo.2012.57.3.0798
Arandia-Gorostidi N, 2017, ENVIRON MICROBIOL, V19, P4493, DOI 10.1111/1462-2920.13898
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ray J, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0034238
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
SUTTLE CA, 1994, APPL ENVIRON MICROB, V60, P3167, DOI 10.1128/AEM.60.9.3167-3174.1994
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Vage S, 2013, NATURE, V494, P357
Weitz JS, 2008, THEOR ECOL, V1, P13, DOI 10.1007/s12080-007-0001-1
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 20
TC 18
Z9 19
PD AUG
PY 2018
VL 12
IS 8
BP 2100
EP 2102
DI 10.1038/s41396-018-0185-y
UT WOS:000441575100021
DA 2025-07-30
ER
PT J
AU Morris, RM
Spietz, RL
AF Morris, Robert M.
Spietz, Rachel L.
TI The Physiology and Biogeochemistry of SUP05
SO ANNUAL REVIEW OF MARINE SCIENCE
DT Review
AB The SUP05 Glade of gammaproteobacteria (Thioglobaceae) comprises both primary producers and primary consumers of organic carbon in the oceans. Host-associated autotrophs are a principal source of carbon and other nutrients for deep-sea eukaryotes at hydrothermal vents, and their free-living relatives are a primary source of organic matter in seawater at vents and in marine oxygen minimum zones. Similar to other abundant marine heterotrophs, such as SAR11 and Roseobacter, heterotrophic Thioglobaceae use the dilute pool of osmolytes produced by phytoplankton for growth, including methylated amines and sulfonates. Heterotrophic members are common throughout the ocean, and autotrophic members are abundant at hydrothermal vents and in anoxic waters; combined, they can account for more than 50% of the total bacterial community. Studies of both cultured and uncultured representatives from this diverse family are providing novel insights into the shifting biogeochemical roles of autotrophic and heterotrophic bacteria that cross oxic-anoxic boundary layers in the ocean.
C1 [Morris, Robert M.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
[Spietz, Rachel L.] Montana State Univ, Dept Microbiol & Cell Biol, Bozeman, MT 59717 USA.
RP Morris, RM (corresponding author), Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
EM morrisrm@uw.edu; rachel.spietz@montana.edu
CR Anantharaman K, 2014, SCIENCE, V344, P757, DOI 10.1126/science.1252229
Anantharaman K, 2013, P NATL ACAD SCI USA, V110, P330, DOI 10.1073/pnas.1215340110
Anderson RE, 2013, FEMS MICROBIOL ECOL, V83, P324, DOI 10.1111/j.1574-6941.2012.01478.x
Ansorge R., 2020, bioRxiv, DOI [10.1101/2020.12.11.421487, DOI 10.1101/2020.12.11.421487]
Babbin AR, 2015, SCIENCE, V348, P1127, DOI 10.1126/science.aaa8380
Babbin AR, 2014, SCIENCE, V344, P406, DOI 10.1126/science.1248364
Badger MR, 2008, J EXP BOT, V59, P1525, DOI 10.1093/jxb/erm297
BARRETT EL, 1985, ANNU REV MICROBIOL, V39, P131, DOI 10.1146/annurev.mi.39.100185.001023
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Beman JM, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3705
Callbeck CM, 2021, LIMNOL OCEANOGR, V66, P2360, DOI 10.1002/lno.11759
Callbeck CM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04041-x
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Carolan MT, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00334
Castro-González M, 2005, ENVIRON MICROBIOL, V7, P1298, DOI 10.1111/j.1462-2920.2005.00809.x
CHISHOLM SW, 1992, ARCH MICROBIOL, V157, P297, DOI 10.1007/BF00245165
Coltharp C, 2016, P NATL ACAD SCI USA, V113, pE1044, DOI 10.1073/pnas.1514296113
Crowe SA, 2018, ISME J, V12, P2322, DOI 10.1038/s41396-018-0149-2
DIAZ MR, 1992, FEMS MICROBIOL LETT, V96, P61, DOI 10.1111/j.1574-6968.1992.tb05394.x
DISTEL DL, 1988, J BACTERIOL, V170, P2506, DOI 10.1128/jb.170.6.2506-2510.1988
Duarte CM, 2013, ANNU REV MAR SCI, V5, P551, DOI 10.1146/annurev-marine-121211-172337
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Fitzsimmons JN, 2017, NAT GEOSCI, V10, P195, DOI [10.1038/ngeo2900, 10.1038/NGEO2900]
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Gilbert JA, 2011, ANNU REV MAR SCI, V3, P347, DOI 10.1146/annurev-marine-120709-142811
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Glaubitz S, 2013, APPL ENVIRON MICROB, V79, P2767, DOI 10.1128/AEM.03777-12
Goffredi SK, 2021, BMC BIOL, V19, DOI 10.1186/s12915-020-00921-1
Hamersley MR, 2007, LIMNOL OCEANOGR, V52, P923, DOI 10.4319/lo.2007.52.3.0923
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Jayakumar DA, 2004, AQUAT MICROB ECOL, V34, P69, DOI 10.3354/ame034069
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kuypers MMM, 2005, P NATL ACAD SCI USA, V102, P6478, DOI 10.1073/pnas.0502088102
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
Lesniewski RA, 2012, ISME J, V6, P2257, DOI 10.1038/ismej.2012.63
Li M, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4192
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Lidbury IDEA, 2015, ISME J, V9, P760, DOI 10.1038/ismej.2014.149
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Marshall KT, 2015, GENOME ANNOUNC, V3
Mattes TE, 2021, ENVIRON MICROBIOL, V23, P2823, DOI 10.1111/1462-2920.15226
Mattes TE, 2013, ISME J, V7, P2349, DOI 10.1038/ismej.2013.113
Mock T, 2016, GLOBAL CHANGE BIOL, V22, P61, DOI 10.1111/gcb.12983
Murillo AA, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00018
Newton ILG, 2007, SCIENCE, V315, P998, DOI 10.1126/science.1138438
Nishijima M, 2010, MAR BIOTECHNOL, V12, P253, DOI 10.1007/s10126-009-9253-7
Pfeifer F, 2012, NAT REV MICROBIOL, V10, P705, DOI 10.1038/nrmicro2834
Ponnudurai R, 2017, STAND GENOMIC SCI, V12, DOI 10.1186/s40793-017-0266-y
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rivas-Marín E, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01964
Rodrigues-Oliveira T, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02597
Rogge A, 2017, ENVIRON MICROBIOL, V19, P2495, DOI 10.1111/1462-2920.13783
Rubin-Blum M, 2019, ISME J, V13, P1209, DOI 10.1038/s41396-019-0346-7
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Shah V, 2019, MBIO, V10, DOI 10.1128/mBio.00216-19
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Sleytr UB, 2014, FEMS MICROBIOL REV, V38, P823, DOI 10.1111/1574-6976.12063
Spietz RL, 2019, ENVIRON MICROBIOL, V21, P2391, DOI 10.1111/1462-2920.14623
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
Stewart FJ, 2005, TRENDS MICROBIOL, V13, P439, DOI 10.1016/j.tim.2005.07.007
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunamura M, 2004, APPL ENVIRON MICROB, V70, P1190, DOI 10.1128/AEM.70.2.1190-1198.2004
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tcherkez GGB, 2006, P NATL ACAD SCI USA, V103, P7246, DOI 10.1073/pnas.0600605103
Thamdrup B, 2006, LIMNOL OCEANOGR, V51, P2145, DOI 10.4319/lo.2006.51.5.2145
van Vliet DM, 2021, ENVIRON MICROBIOL, V23, P2834, DOI 10.1111/1462-2920.15265
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vohsen SA, 2020, bioRxiv, DOI [10.1101/2020.02.27.968453, 10.1101/2020.02.27.968453, DOI 10.1101/2020.02.27.968453]
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Ward BB, 2009, NATURE, V461, P78, DOI 10.1038/nature08276
Wiegand S, 2018, FEMS MICROBIOL REV, V42, P739, DOI 10.1093/femsre/fuy029
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wood AP, 2004, FEMS MICROBIOL REV, V28, P335, DOI 10.1016/j.femsre.2003.12.001
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Xiao J, 2016, CURR OPIN MICROBIOL, V34, P90, DOI 10.1016/j.mib.2016.08.008
Zaikova E, 2010, ENVIRON MICROBIOL, V12, P172, DOI 10.1111/j.1462-2920.2009.02058.x
Zhou K, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00992-19
NR 81
TC 20
Z9 21
PY 2022
VL 14
BP 261
EP 275
DI 10.1146/annurev-marine-010419-010814
UT WOS:000788648800012
DA 2025-07-30
ER
PT J
AU Lindh, MV
Lefébure, R
Degerman, R
Lundin, D
Andersson, A
Pinhassi, J
AF Lindh, Markus V.
Lefebure, Robert
Degerman, Rickard
Lundin, Daniel
Andersson, Agneta
Pinhassi, Jarone
TI Consequences of increased terrestrial dissolved organic matter and
temperature on bacterioplankton community composition during a Baltic
Sea mesocosm experiment
SO AMBIO
DT Article
AB Predicted increases in runoff of terrestrial dissolved organic matter (DOM) and sea surface temperatures implicate substantial changes in energy fluxes of coastal marine ecosystems. Despite marine bacteria being critical drivers of marine carbon cycling, knowledge of compositional responses within bacterioplankton communities to such disturbances is strongly limited. Using 16S rRNA gene pyrosequencing, we examined bacterioplankton population dynamics in Baltic Sea mesocosms with treatments combining terrestrial DOM enrichment and increased temperature. Among the 200 most abundant taxa, 62 % either increased or decreased in relative abundance under changed environmental conditions. For example, SAR11 and SAR86 populations proliferated in combined increased terrestrial DOM/temperature mesocosms, while the hgcI and CL500-29 clades (Actinobacteria) decreased in the same mesocosms. Bacteroidetes increased in both control mesocosms and in the combined increased terrestrial DOM/temperature mesocosms. These results indicate considerable and differential responses among distinct bacterial populations to combined climate change effects, emphasizing the potential of such effects to induce shifts in ecosystem function and carbon cycling in the future Baltic Sea.
C1 [Lindh, Markus V.; Lundin, Daniel; Pinhassi, Jarone] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, S-39182 Kalmar, Sweden.
[Lefebure, Robert] Marine Stewardship Council, London EC1A 2DH, England.
[Degerman, Rickard; Andersson, Agneta] Umea Univ, Dept Ecol & Environm Sci, S-90187 Umea, Sweden.
RP Pinhassi, J (corresponding author), Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, S-39182 Kalmar, Sweden.
EM markusvlindh@gmail.com; robert.lefebure@msc.org;
richard.degerman@emg.umu.se; daniel.lundin@lnu.se;
agneta.andersson@emg.umu.se; jarone.pinhassi@lnu.se
CR Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Alonso-Sáez L, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00425
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Bell T, 2005, NATURE, V436, P1157, DOI 10.1038/nature03891
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Comte J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025266
Degerman R, 2013, AQUAT MICROB ECOL, V68, P131, DOI 10.3354/ame01609
Díez-Vives C, 2014, SYST APPL MICROBIOL, V37, P68, DOI 10.1016/j.syapm.2013.08.006
Dinasquet J, 2013, ENVIRON MICROBIOL, V15, P2616, DOI 10.1111/1462-2920.12178
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2003, APPL ENVIRON MICROB, V69, P3701, DOI 10.1128/AEM.69.7.3701-3709.2003
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Grubisic LM, 2012, MAR ECOL PROG SER, V453, P37, DOI 10.3354/meps09634
Herlemann D.P., 2013, MOL BIOL, V4
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirchman DL, 1997, MICROBIAL ECOL, V33, P11, DOI 10.1007/s002489900003
Kisand V, 2002, APPL ENVIRON MICROB, V68, P379, DOI 10.1128/AEM.68.1.379-388.2002
Kisand V, 2008, AQUAT MICROB ECOL, V53, P151, DOI 10.3354/ame01240
Kritzberg ES, 2006, FEMS MICROBIOL ECOL, V56, P406, DOI 10.1111/j.1574-6941.2006.00084.x
Landa M, 2013, AQUAT MICROB ECOL, V69, P157, DOI 10.3354/ame01632
Langenheder S, 2005, LIMNOL OCEANOGR, V50, P957, DOI 10.4319/lo.2005.50.3.0957
Lefébure R, 2013, GLOBAL CHANGE BIOL, V19, P1358, DOI 10.1111/gcb.12134
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Lindh MV, 2013, ENV MICROBIOL REP, V5, P252, DOI 10.1111/1758-2229.12009
Lindström ES, 2000, MICROBIAL ECOL, V40, P104
Meier HEM, 2006, CLIM DYNAM, V27, P39, DOI 10.1007/s003S2-006-0124-x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Müren U, 2005, HYDROBIOLOGIA, V545, P153, DOI 10.1007/s10750-005-2742-4
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Oksanen JF, 2010, VEGAN COMMUNITY ECOL
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Rhein M., 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, DOI DOI 10.1017/CBO9781107415324.010
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rochelle-Newall EJ, 2004, AQUAT MICROB ECOL, V37, P9, DOI 10.3354/ame037009
Rocker D, 2012, FEMS MICROBIOL ECOL, V80, P45, DOI 10.1111/j.1574-6941.2011.01269.x
Sandberg J, 2004, MAR ECOL PROG SER, V268, P13, DOI 10.3354/meps268013
Sjöstedt J, 2012, APPL ENVIRON MICROB, V78, P1361, DOI 10.1128/AEM.05542-11
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2009, AQUAT MICROB ECOL, V55, P131, DOI 10.3354/ame01290
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
von Scheibner M, 2014, ENVIRON MICROBIOL, V16, P718, DOI 10.1111/1462-2920.12195
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Wikner J, 2012, GLOBAL CHANGE BIOL, V18, P2509, DOI 10.1111/j.1365-2486.2012.02718.x
NR 48
TC 59
Z9 73
PD JUN
PY 2015
VL 44
SU 3
SI SI
BP S402
EP S412
DI 10.1007/s13280-015-0659-3
UT WOS:000362290800008
DA 2025-07-30
ER
PT J
AU Hwang, J
Oh, EG
Jin, Y
AF Hwang, Jinik
Oh, Eun Gyoung
Jin, Youngguk
TI Metagenomic Analysis of Seasonal Variations in Viral Dynamics and
Diversity in Seawater of Jeju Island, Republic of Korea
SO JOURNAL OF MARINE SCIENCE AND ENGINEERING
DT Article
AB Jeju, the largest island in Korea, is the most economically important in terms of marine aquaculture. We investigated the marine viral composition adjacent to Jeju Island over four seasons in 2022 and sequenced DNA libraries extracted from samples in March, June, September, and December using Illumina HiSeq 2000. We obtained 212,402, 186,542, 235,441, and 224,513 contigs from the four-season samples, respectively. Among the identified metagenomes, bacteriophages were dominant in all the samples. Bacillus phage G was the dominant species in March and June, whereas Pelagibacter phage HTVC 008M was the dominant species in September and December. Additionally, the number of viruses that infected algal hosts was higher in December than in other seasons. Marine viruses appeared in all seasons and infected marine vertebrates such as fish. Functional analysis using MG-RAST revealed that cell wall- and capsule-related metabolism groups were activated in March and June, whereas virulence-, disease-, and defense-related metabolism groups were activated in September and December. Conclusively, this study revealed seasonal changes in marine viral communities in the sea adjacent to Jeju Island. Our data will be useful in identifying emerging marine viral pathogens and for further community studies on marine organisms.
C1 [Hwang, Jinik; Oh, Eun Gyoung] Natl Inst Fisheries Sci, West Sea Fisheries Inst, Incheon 22383, South Korea.
[Jin, Youngguk] Natl Inst Fisheries Sci, South Sea Fisheries Res Inst, Yeosu 59780, South Korea.
RP Hwang, J (corresponding author), Natl Inst Fisheries Sci, West Sea Fisheries Inst, Incheon 22383, South Korea.
EM jinike12@korea.kr; ohdagu@korea.kr; jyg4jj@korea.kr
CR Biggs TEG, 2021, ISME J, V15, P3615, DOI 10.1038/s41396-021-01033-6
BORREGO JJ, 1991, J MED MICROBIOL, V35, P264, DOI 10.1099/00222615-35-5-264
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Cashdollar JL, 2013, J APPL MICROBIOL, V115, P1, DOI 10.1111/jam.12143
Colombet J, 2007, J MICROBIOL METH, V71, P212, DOI 10.1016/j.mimet.2007.08.012
Davison AJ, 2005, J GEN VIROL, V86, P41, DOI 10.1099/vir.0.80382-0
Davison AJ, 2010, VET MICROBIOL, V143, P52, DOI 10.1016/j.vetmic.2010.02.014
Deghorain M, 2012, VIRUSES-BASEL, V4, P3316, DOI 10.3390/v4123316
Handelsman J, 2004, MICROBIOL MOL BIOL R, V68, P669, DOI 10.1128/MMBR.68.4.669-685.2004
He JG, 2002, AQUACULTURE, V204, P11, DOI 10.1016/S0044-8486(01)00639-1
HICKS BD, 1987, J WILDLIFE DIS, V23, P1, DOI 10.7589/0090-3558-23.1.1
Hyatt AD, 2000, ARCH VIROL, V145, P301, DOI 10.1007/s007050050025
Jin HC, 2022, PROG MATER SCI, V124, DOI 10.1016/j.pmatsci.2021.100889
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kamata SI, 2003, MAR BIOTECHNOL, V5, P157, DOI 10.1007/s10126-002-0057-2
Katayama H, 2002, APPL ENVIRON MICROB, V68, P1033, DOI 10.1128/AEM.68.3.1033-1039.2002
Kieft K, 2022, NUCLEIC ACIDS RES, V50, DOI 10.1093/nar/gkac341
Kim Min-Soo, 2013, Genomics & Informatics, V11, P121, DOI 10.5808/GI.2013.11.3.121
Koonin EV, 2010, INTERVIROLOGY, V53, P284, DOI 10.1159/000312913
Kristensen DM, 2010, TRENDS MICROBIOL, V18, P11, DOI 10.1016/j.tim.2009.11.003
Martínez JM, 2020, NAT REV MICROBIOL, V18, P705, DOI 10.1038/s41579-020-00444-0
Middelboe M, 2002, AQUAT MICROB ECOL, V27, P187, DOI 10.3354/ame027187
Middelboe M, 1996, APPL ENVIRON MICROB, V62, P1991, DOI 10.1128/AEM.62.6.1991-1997.1996
Mushegian AR, 2020, J BACTERIOL, V202, DOI 10.1128/JB.00052-20
Parada V, 2007, APPL ENVIRON MICROB, V73, P4429, DOI 10.1128/AEM.00029-07
Reavy B, 2015, APPL ENVIRON MICROB, V81, P3934, DOI 10.1128/AEM.03878-14
Sanseverino I, 2022, MICROB ECOL, V83, P850, DOI 10.1007/s00248-021-01914-5
Schulz F, 2022, NAT REV MICROBIOL, V20, P721, DOI 10.1038/s41579-022-00754-5
Shi CY, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-159
SIMPSON VR, 1994, VET REC, V134, P292, DOI 10.1136/vr.134.12.292
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
van Vliet DM, 2021, ENVIRON MICROBIOL, V23, P2834, DOI 10.1111/1462-2920.15265
Welsh JE, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61691-y
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Yeh YC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-35551-4
Zheng Y, 2024, VIRUSES-BASEL, V16, DOI 10.3390/v16040590
NR 37
TC 0
Z9 0
PD SEP
PY 2024
VL 12
IS 9
AR 1480
DI 10.3390/jmse12091480
UT WOS:001323372500001
DA 2025-07-30
ER
PT J
AU Matcher, GF
Dorrington, RA
Henninger, TO
Froneman, PW
AF Matcher, G. F.
Dorrington, R. A.
Henninger, T. O.
Froneman, P. W.
TI Insights into the bacterial diversity in a freshwater-deprived
permanently open Eastern Cape estuary, using 16S rRNA pyrosequencing
analysis
SO WATER SA
DT Article
AB The aim of this study was to conduct an investigation into the bacterial diversity in the freshwater-deprived Kariega Estuary, situated along the Eastern Cape coastline, using ribosomal RNA gene sequences obtained by pyrosequencing. Shifts in the microbial diversity were correlated to selected physico-chemical variables along the length of the estuary. More than 27 000 sequences were obtained and rarefaction analyses confirmed a comprehensive appraisal of the microbial diversity present in the Kariega Estuary. Distinct patterns in phylotype distribution from the hypersaline upper reaches to the mouth of the estuary were observed; notably, the importance of the detrital food web within the Kariega Estuary was highlighted by the high occurrence of Bacteroidetes and Actinomycetes. Moreover, while the observed chlorophyll-a concentrations were low (<0.1 mu g.l(-1)), the presence of Pelagibacter and Flavobacteria amongst the microbial community suggests a potentially important contribution of these microbes towards the total primary productivity of the ecosystem. No human pathogenic microbes were detected within waters of the system. We conclude that pyrosequencing provides a versatile and efficient tool for assessing the microbial diversity in the Kariega Estuary and propose that this technology may provide valuable information on the ecosystem functioning and health of aquatic ecosystems.
C1 [Matcher, G. F.; Dorrington, R. A.] Rhodes Univ, Dept Biochem Microbiol & Biotechnol, ZA-6140 Grahamstown, South Africa.
[Henninger, T. O.; Froneman, P. W.] Rhodes Univ, Dept Zool & Entomol, ZA-6140 Grahamstown, South Africa.
RP Matcher, GF (corresponding author), Rhodes Univ, Dept Biochem Microbiol & Biotechnol, POB 94, ZA-6140 Grahamstown, South Africa.
EM g.matcher@ru.ac.za
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V53, P379, DOI 10.1016/j.femsec.2005.01.008
Adams Janine, 1999, P91, DOI 10.1017/CBO9780511525490.005
ALLANSON BR, 1987, 287 RHOD U I FRESHW
Benlloch S, 2002, ENVIRON MICROBIOL, V4, P349, DOI 10.1046/j.1462-2920.2002.00306.x
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Briand JF, 2003, VET RES, V34, P361, DOI 10.1051/vetres:2003019
Bull AT, 2005, ANTON LEEUW INT J G, V87, P65, DOI 10.1007/s10482-004-6562-8
Cavalier-Smith T, 2002, CURR BIOL, V12, pR62, DOI 10.1016/S0960-9822(01)00675-3
Claesson MJ, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006669
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Demergasso C, 2008, EXTREMOPHILES, V12, P491, DOI 10.1007/s00792-008-0153-y
Dolan JR, 2005, AQUAT MICROB ECOL, V41, P39, DOI 10.3354/ame041039
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Ford Timothy Edgcumbe, 2000, Journal of Aquatic Ecosystem Stress and Recovery, V7, P75, DOI 10.1023/A:1009971414055
Froneman P. W., 2002, African Journal of Aquatic Science, V27, P107, DOI 10.2989/16085914.2002.9626582
Froneman P. W., 2000, African Journal of Aquatic Science, V25, P13, DOI 10.2989/160859100780177622
Froneman PW, 1997, ESTUAR COAST SHELF S, V45, P689, DOI 10.1006/ecss.1996.0225
Froneman PW, 2001, ESTUAR COAST SHELF S, V52, P543, DOI 10.1006/ecss.2001.0776
Gade D, 2004, MICROB ECOL, V47, P243, DOI 10.1007/s00248-003-1016-9
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
GRANGE N, 1995, ESTUAR COAST SHELF S, V40, P403, DOI 10.1006/ecss.1995.0028
Grange N, 2000, AQUAT CONSERV, V10, P155
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
HARRIS EH, 1994, MICROBIOL REV, V58, P700, DOI 10.1128/MMBR.58.4.700-754.1994
Harrison TD, 2000, STATE ENV SERIES
Heyns E, 2010, ESTUAR COAST SHELF S, V88, P105, DOI 10.1016/j.ecss.2010.03.017
HODGSON AN, 1987, S AFR J ZOOL, V22, P153
HOLMHANSEN O, 1978, OIKOS, V30, P438, DOI 10.2307/3543338
Horner-Devine MC, 2003, ECOL LETT, V6, P613
Hugenholtz P, 1998, J BACTERIOL, V180, P4765, DOI 10.1128/JB.180.18.4765-4774.1998
Hughes JB, 2005, METHOD ENZYMOL, V397, P292, DOI 10.1016/S0076-6879(05)97017-1
Humayoun SB, 2003, APPL ENVIRON MICROB, V69, P1030, DOI 10.1128/AEM.69.2.1030-1042.2003
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
JENNINGS ME, 2006, THESIS RHODES U
Kirchman DL, 2008, P NATL ACAD SCI USA, V105, P8487, DOI 10.1073/pnas.0804196105
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Leclerc H, 2002, CRIT REV MICROBIOL, V28, P371, DOI 10.1080/1040-840291046768
Lemke MJ, 1997, MICROB ECOL, V34, P224, DOI 10.1007/s002489900051
Liu ZZ, 2007, NUCLEIC ACIDS RES, V35, DOI 10.1093/nar/gkm541
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Reichenbach H., 1992, The prokaryotes, P3631
Sait M, 2002, ENVIRON MICROBIOL, V4, P654, DOI 10.1046/j.1462-2920.2002.00352.x
Schloss PD, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-8-229
Sharma S, 2003, APPL MICROBIOL BIOT, V61, P424, DOI 10.1007/s00253-003-1302-y
Smith VH, 2007, FEMS MICROBIOL ECOL, V62, P181, DOI 10.1111/j.1574-6941.2007.00381.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Thompson JR, 2004, APPL ENVIRON MICROB, V70, P4103, DOI 10.1128/AEM.70.7.4103-4110.2004
Tringe SG, 2008, CURR OPIN MICROBIOL, V11, P442, DOI 10.1016/j.mib.2008.09.011
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wang Y, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007401
Webster NS, 2001, APPL ENVIRON MICROB, V67, P434, DOI 10.1128/AEM.67.1.434-444.2001
Wu QL, 2006, APPL ENVIRON MICROB, V72, P5478, DOI 10.1128/AEM.00767-06
NR 61
TC 19
Z9 24
PD JUL
PY 2011
VL 37
IS 3
BP 381
EP 390
UT WOS:000293341500013
DA 2025-07-30
ER
PT J
AU Han, D
Richter-Heitmann, T
Kim, IN
Choy, E
Park, KT
Unno, T
Kim, J
Nam, SI
AF Han, Dukki
Richter-Heitmann, Tim
Kim, Il-Nam
Choy, Eunjung
Park, Ki-Tae
Unno, Tatsuya
Kim, Jungman
Nam, Seung-Il
TI Survey of Bacterial Phylogenetic Diversity During the Glacier Melting
Season in an Arctic Fjord
SO MICROBIAL ECOLOGY
DT Article
AB To understand bacterial biogeography in response to the hydrographic impact of climate change derived from the Arctic glacier melting, we surveyed bacterial diversity and community composition using bacterial 16S rRNA gene metabarcoding in the seawaters of Kongsfjorden, Svalbard, during summer 2016. In the present study, bacterial biogeography in the Kongsfjorden seawaters showed distinct habitat patterns according to water mass classification and habitat transition between Atlantic and fjord surface waters. Moreover, we estimated phylogenetic diversity of bacterial communities using the net relatedness, nearest taxon, and beta nearest taxon indices. We found the influence of freshwater input from glacier melting in shaping bacterial assemblage composition through the stochastic model. We further evaluated bacterial contributions to phytoplankton-derived dimethylsulfoniopropionate (DMSP) using a quantitative PCR (qPCR) measurement with demethylation (dmdA) and cleavage (dddP) genes of two fundamentally different processes. Our qPCR results imply that bacterial DMSP degradation follows the Atlantic inflow during summer in Kongsfjorden. These findings suggest that the Atlantic inflow and glacial melting influence bacterial community composition and assembly processes and thus affect the degradation of phytoplankton-derived organic matter in an Arctic fjord.
C1 [Han, Dukki; Unno, Tatsuya] Jeju Natl Univ, Jeju 63243, Jeju Special Se, South Korea.
[Han, Dukki; Richter-Heitmann, Tim] Univ Bremen, Fac Biol Chem, Microbial Ecophysiol Grp, Bremen, Germany.
[Kim, Il-Nam] Incheon Natl Univ, Dept Marine Sci, Incheon 22012, South Korea.
[Choy, Eunjung; Park, Ki-Tae; Nam, Seung-Il] Korea Polar Res Inst, Incheon 21990, South Korea.
[Kim, Jungman] Jeju Natl Univ, Res Inst Basic Sci, Jeju 63243, Jeju Special Se, South Korea.
RP Han, D (corresponding author), Jeju Natl Univ, Jeju 63243, Jeju Special Se, South Korea.; Han, D (corresponding author), Univ Bremen, Fac Biol Chem, Microbial Ecophysiol Grp, Bremen, Germany.; Nam, SI (corresponding author), Korea Polar Res Inst, Incheon 21990, South Korea.
EM dukkihan@gmail.com; sinam@kopri.re.kr
CR Amaral-Zettler LA, 2011, ISME J, V5, P42, DOI 10.1038/ismej.2010.101
Archer SD, 2013, BIOGEOSCIENCES, V10, P1893, DOI 10.5194/bg-10-1893-2013
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cardman Z, 2014, APPL ENVIRON MICROB, V80, P3749, DOI 10.1128/AEM.00899-14
Caruana AMN, 2014, PROG OCEANOGR, V120, P410, DOI 10.1016/j.pocean.2013.10.014
Choi DH, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116271
Cottier F, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002757
Cui YS, 2015, APPL ENVIRON MICROB, V81, P4184, DOI 10.1128/AEM.03873-14
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Dall'Osto M, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-03328-1
De Corte D, 2013, ENV MICROBIOL REP, V5, P272, DOI 10.1111/1758-2229.12013
Devictor V, 2008, OIKOS, V117, P507, DOI 10.1111/j.2008.0030-1299.16215.x
Dini-Andreote F, 2015, P NATL ACAD SCI USA, V112, pE1326, DOI 10.1073/pnas.1414261112
Feng YZ, 2018, MOL ECOL, V27, P5238, DOI 10.1111/mec.14914
Fine PVA, 2011, ECOGRAPHY, V34, P552, DOI 10.1111/j.1600-0587.2010.06548.x
Gao C, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15693-z
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Han D, 2014, PLOS ONE, V9
Han D, 2020, MICROB ECOL, V79, P12, DOI 10.1007/s00248-019-01392-w
Han D, 2015, DEEP-SEA RES PT II, V120, P52, DOI 10.1016/j.dsr2.2015.01.018
Hegseth EN, 2013, J MARINE SYST, V113, P94, DOI 10.1016/j.jmarsys.2013.01.003
Hodal H, 2012, POLAR BIOL, V35, P191, DOI 10.1007/s00300-011-1053-7
Hop H, 2002, POLAR RES, V21, P167, DOI 10.3402/polar.v21i1.6480
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2011, APPL ENVIRON MICROB, V77, P524, DOI 10.1128/AEM.01457-10
Hubbell SP, 1997, CORAL REEFS, V16, pS9, DOI 10.1007/s003380050237
Illumina, 2013, 16S MET SEQ LIB PREP
Iversen KR, 2011, POLAR BIOL, V34, P731, DOI 10.1007/s00300-010-0929-2
Jain A, 2020, MAR ENVIRON RES, V155, DOI 10.1016/j.marenvres.2020.104874
Jain A, 2017, J BASIC MICROB, V57, P827, DOI 10.1002/jobm.201700216
Kahle D., 2019, PACKAGE GGMAP
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Kudo T, 2018, GENE, V665, P174, DOI 10.1016/j.gene.2018.04.072
Kwak JH, 2014, J GEOPHYS RES-OCEANS, V119, P4505, DOI 10.1002/2014JC009874
Levasseur M, 2013, NAT GEOSCI, V6, P691, DOI 10.1038/NGEO1910
Levine NM, 2012, ENVIRON MICROBIOL, V14, P1210, DOI 10.1111/j.1462-2920.2012.02700.x
Lindemann SR, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00323
Martinez A. P., 2017, PAIRWISEADONIS PAIRW
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mühlenbruch M, 2018, ENVIRON MICROBIOL, V20, P2671, DOI 10.1111/1462-2920.14302
Oksanen J., 2017, PACKAGE VEGAN
Piquet AMT, 2016, POLAR BIOL, V39, P1749, DOI 10.1007/s00300-015-1866-x
Piquet AMT, 2010, POLAR BIOL, V33, P1521, DOI 10.1007/s00300-010-0841-9
Roberts DW., 2016, Ordination and Multivariate
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Stegen JC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00370
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Svendsen H, 2002, POLAR RES, V21, P133, DOI 10.1111/j.1751-8369.2002.tb00072.x
Team RC, 2018, R: A Language and Environment for Statistical Computing
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Torsvik T, 2019, ESTUAR COAST SHELF S, V220, P152, DOI 10.1016/j.ecss.2019.02.005
Tripathi BM, 2018, ISME J, V12, P1072, DOI 10.1038/s41396-018-0082-4
Varaljay VA, 2012, APPL ENVIRON MICROB, V78, P2775, DOI 10.1128/AEM.07559-11
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Wang JJ, 2013, ISME J, V7, P1310, DOI 10.1038/ismej.2013.30
Webb CO, 2008, BIOINFORMATICS, V24, P2098, DOI 10.1093/bioinformatics/btn358
Webb CO, 2002, ANNU REV ECOL SYST, V33, P475, DOI 10.1146/annurev.ecolsys.33.010802.150448
Wiktor Jozef, 1999, Oceanologia, V41, P51
Zeng YX, 2016, SCI REP-UK, V6, DOI 10.1038/srep33031
Zeng YX, 2009, POLAR BIOL, V32, P1447, DOI 10.1007/s00300-009-0641-2
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 63
TC 11
Z9 12
PD APR
PY 2021
VL 81
IS 3
BP 579
EP 591
DI 10.1007/s00248-020-01616-4
EA OCT 2020
UT WOS:000578439400001
DA 2025-07-30
ER
PT J
AU von Arx, JN
Kidane, AT
Philippi, M
Mohr, W
Lavik, G
Schorn, S
Kuypers, MMM
Milucka, J
AF von Arx, Jan N.
Kidane, Abiel T.
Philippi, Miriam
Mohr, Wiebke
Lavik, Gaute
Schorn, Sina
Kuypers, Marcel M. M.
Milucka, Jana
TI Methylphosphonate-driven methane formation and its link to primary
production in the oligotrophic North Atlantic
SO NATURE COMMUNICATIONS
DT Article
AB Methylphosphonate is an organic phosphorus compound used by microorganisms when phosphate, a key nutrient limiting growth in most marine surface waters, becomes unavailable. Microbial methylphosphonate use can result in the formation of methane, a potent greenhouse gas, in oxic waters where methane production is traditionally unexpected. The extent and controlling factors of such aerobic methane formation remain underexplored. Here, we show high potential net rates of methylphosphonate-driven methane formation (median 0.4 nmol methane L-1 d-1) in the upper water column of the western tropical North Atlantic. The rates are repressed but still quantifiable in the presence of in-situ or added phosphate, suggesting that some methylphosphonate-driven methane formation persists in phosphate-replete waters. The genetic potential for methylphosphonate utilisation is present in and transcribed by key photo- and heterotrophic microbial taxa, such as Pelagibacterales, SAR116, and Trichodesmium. While the large cyanobacterial nitrogen-fixers dominate in the surface layer, phosphonate utilisation by Alphaproteobacteria appears to become more important in deeper depths. We estimate that at our study site, a substantial part (median 11%) of the measured surface carbon fixation can be sustained by phosphorus liberated from phosphonate utilisation, highlighting the ecological importance of phosphonates in the carbon cycle of the oligotrophic ocean.
The origin of methane in oxic waters of the open ocean remains uncertain. This study documents methylphosphonate-driven methane formation in the tropical North Atlantic, providing insights into the ecological importance of phosphonates in the carbon cycle of the oligotrophic ocean.
C1 [von Arx, Jan N.; Kidane, Abiel T.; Philippi, Miriam; Mohr, Wiebke; Lavik, Gaute; Schorn, Sina; Kuypers, Marcel M. M.; Milucka, Jana] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Philippi, Miriam] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Bremerhaven, Germany.
RP von Arx, JN (corresponding author), Max Planck Inst Marine Microbiol, Bremen, Germany.
EM jarx@mpi-bremen.de
CR Acker J.G., 2007, EOS T AM GEOPHYS UNI, V88, P14, DOI [10.1029/2007EO020003, DOI 10.1029/2007EO020003]
Arar E. J., 1997, Method 445.0: In vitro determination of chlorophyll a and pheophytin a in marine and freshwater algae by fluorescence
BALCH WE, 1979, MICROBIOL REV, V43, P260, DOI 10.1128/MMBR.43.2.260-296.1979
Behrenfeld MJ, 1997, LIMNOL OCEANOGR, V42, P1, DOI 10.4319/lo.1997.42.1.0001
Beversdorf LJ, 2010, LIMNOL OCEANOGR, V55, P1768, DOI 10.4319/lo.2010.55.4.1768
BIANCHI M, 1992, MAR ECOL PROG SER, V88, P55, DOI 10.3354/meps088055
Bizic M, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aax5343
Bolaños LM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.624164
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Capone DG, 1997, SCIENCE, V276, P1221, DOI 10.1126/science.276.5316.1221
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
CHAPMAN P, 1990, S AFR J MARINE SCI, V9, P239
Chien CT, 2016, GLOBAL BIOGEOCHEM CY, V30, P716, DOI 10.1002/2015GB005334
Cullen JJ, 2015, ANNU REV MAR SCI, V7, P207, DOI 10.1146/annurev-marine-010213-135111
Damm E, 2010, BIOGEOSCIENCES, V7, P1099, DOI 10.5194/bg-7-1099-2010
del Valle DA, 2014, AQUAT MICROB ECOL, V73, P93, DOI 10.3354/ame01714
Hoang DT, 2018, MOL BIOL EVOL, V35, P518, DOI 10.1093/molbev/msx281
Dyhrman ST, 2009, NAT GEOSCI, V2, P696, DOI 10.1038/NGEO639
Dyhrman ST, 2006, NATURE, V439, P68, DOI 10.1038/nature04203
Dyhrman ST, 2002, LIMNOL OCEANOGR, V47, P1832, DOI 10.4319/lo.2002.47.6.1832
Ernst L, 2022, NATURE, V603, P482, DOI 10.1038/s41586-022-04511-9
Frischkorn KR, 2018, BIOGEOSCIENCES, V15, P5761, DOI 10.5194/bg-15-5761-2018
Frischkorn KR, 2017, ISME J, V11, P2090, DOI 10.1038/ismej.2017.74
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Fu WW, 2016, BIOGEOSCIENCES, V13, P5151, DOI 10.5194/bg-13-5151-2016
Granzow BN, 2021, LIMNOL OCEANOGR-METH, V19, P235, DOI 10.1002/lom3.10418
Grosskopf T, 2012, NATURE, V488, P361, DOI 10.1038/nature11338
Group N. O. B. P., 2022, Aqua MODIS Level 3 Mapped Chlorophyll Data, DOI [10.5067/AQUA/MODIS/L3M/CHL/2022, DOI 10.5067/AQUA/MODIS/L3M/CHL/2022]
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Kalyaanamoorthy S, 2017, NAT METHODS, V14, P587, DOI [10.1038/nmeth.4285, 10.1038/NMETH.4285]
Kamat SS, 2011, NATURE, V480, P570, DOI 10.1038/nature10622
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
Karl DM, 2014, ANNU REV MAR SCI, V6, P279, DOI 10.1146/annurev-marine-010213-135046
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kiene R. P., 1991, Microbial Production and Consumption of Greenhouse Gases: Methane, Nitrogen Oxides, and Halomethanes
Kolomijeca A, 2022, OCEAN SCI, V18, P1377, DOI 10.5194/os-18-1377-2022
LAMONTAGNE RA, 1971, J GEOPHYS RES, V76, P5117, DOI 10.1029/JC076i021p05117
LAMONTAGNE RA, 1973, J GEOPHYS RES, V78, P5317, DOI 10.1029/JC078i024p05317
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lenhart K, 2016, BIOGEOSCIENCES, V13, P3163, DOI 10.5194/bg-13-3163-2016
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Li WZ, 2002, BIOINFORMATICS, V18, P77, DOI 10.1093/bioinformatics/18.1.77
Li WZ, 2001, BIOINFORMATICS, V17, P282, DOI 10.1093/bioinformatics/17.3.282
Liang Z, 2022, NAT GEOSCI, V15, P651, DOI 10.1038/s41561-022-00988-1
Lockwood S, 2022, ISME J, V16, P2198, DOI 10.1038/s41396-022-01266-z
Marra J, 2009, AQUAT MICROB ECOL, V56, P123, DOI 10.3354/ame01306
Martínez A, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00340
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Martiny AC, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0341
Mather RL, 2008, NAT GEOSCI, V1, P439, DOI 10.1038/ngeo232
Mills MM, 2008, LIMNOL OCEANOGR, V53, P824, DOI 10.4319/lo.2008.53.2.0824
Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
Moore CM, 2008, LIMNOL OCEANOGR, V53, P291, DOI 10.4319/lo.2008.53.1.0291
Murphy ARJ, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24646-z
Ondov BD, 2016, GENOME BIOL, V17, DOI 10.1186/s13059-016-0997-x
OREMLAND RS, 1979, LIMNOL OCEANOGR, V24, P1136, DOI 10.4319/lo.1979.24.6.1136
Pack MA, 2015, J GEOPHYS RES-BIOGEO, V120, P1078, DOI 10.1002/2014JG002900
Perez-Coronel E, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-34105-y
Posit Team, 2023, RStudio: Integrated Development Environment for R
REDFIELD AC, 1958, AM SCI, V46, P205
Repeta DJ, 2016, NAT GEOSCI, V9, P884, DOI [10.1038/NGEO2837, 10.1038/ngeo2837]
Roda-Garcia JJ, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00944-21
Schlitzer R., 2010, Ocean Data View
SCRANTON MI, 1977, DEEP-SEA RES, V24, P127, DOI 10.1016/0146-6291(77)90548-3
Sosa OA, 2020, LIMNOL OCEANOGR, V65, P2443, DOI 10.1002/lno.11463
Sosa OA, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00289-19
Sosa OA, 2019, ENVIRON MICROBIOL, V21, P2402, DOI 10.1111/1462-2920.14628
Strickland J.D.H., 1968, B FISH RES BOARD CAN, V167, P310, DOI [10.1002/iroh.19700550118, DOI 10.1002/IROH.19700550118]
Suzumura M, 2008, LIMNOL OCEANOGR-METH, V6, P619, DOI 10.4319/lom.2008.6.619
Tamames J, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03349
TRAGANZA ED, 1979, DEEP-SEA RES, V26, P1237, DOI 10.1016/0198-0149(79)90066-9
Van de Waal DB, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0706
Van Mooy BAS, 2015, SCIENCE, V348, P783, DOI 10.1126/science.aaa8181
Villareal TA, 2003, MICROB ECOL, V45, P1, DOI 10.1007/s00248-002-1012-5
WACKETT LP, 1987, J BACTERIOL, V169, P710, DOI 10.1128/jb.169.2.710-717.1987
Wagner GP, 2012, THEOR BIOSCI, V131, P281, DOI 10.1007/s12064-012-0162-3
Wang Q, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2019229118
Wanner BL, 1996, KIDNEY INT, V49, P964, DOI 10.1038/ki.1996.136
Weber T, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12541-7
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Yao MY, 2016, APPL ENVIRON MICROB, V82, P6994, DOI 10.1128/AEM.02399-16
Zheng YN, 2018, NAT MICROBIOL, V3, P281, DOI 10.1038/s41564-017-0091-5
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
NR 90
TC 11
Z9 13
PD OCT 16
PY 2023
VL 14
IS 1
AR 6529
DI 10.1038/s41467-023-42304-4
UT WOS:001156991100004
DA 2025-07-30
ER
PT J
AU Lee, HB
Jeong, DH
Cho, BC
Park, JS
AF Lee, Hyeon Been
Jeong, Dong Hyuk
Cho, Byung Cheol
Park, Jong Soo
TI Comparative analyses of eight primer sets commonly used to target the
bacterial 16S rRNA gene for marine metabarcoding-based studies
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Next-generation sequencing (NGS), especially metabarcoding, is commonly used to study the diversity and distribution of microbes in diverse ecosystems. The choice of primer set is critical, given the drawbacks of short amplicons and amplicon sequencing bias inherent to metabarcoding. However, comparative analyses of primer sets have rarely been conducted using field samples. In this study, we compared eight commonly used primer sets, all targeting hypervariable regions in the bacterial 16S rRNA gene: 27F/338R (V1-V2), V2f/V3r (V2-V3), PRK341F/PRK806R (V3-V4), 341F/785R (V3-V4), 515F/806RB (V4), 515F/806R (V4), 515F-Y/926R (V4-V5), and B969F/BA1406R (V6-V8). We conducted NGS in triplicate, with >0.8 billion bases in total using coastal seawater samples. The representation of bacterial community composition varied significantly across the eight primer sets, despite being from the same sample. The 27F/338R primer set showed the highest number of operational taxonomic units (OTUs) and read counts, and accounted for 68% of all the order-level taxa found. Remarkably, a novel complementary combination of two primer sets, 27F/338R and 515F/806RB, covered 89% of all the orders that were present. Compared to other primer sets, this combination detected more OTUs of the orders Pelagibacterales and Rhodobacterales, which are ubiquitous in the oceans. As such, use of this combination in future studies may help to reduce diversity bias in ocean-derived samples, in particular temperate coastal samples.
C1 [Lee, Hyeon Been; Jeong, Dong Hyuk; Park, Jong Soo] Kyungpook Natl Univ, Dept Oceanog, Daegu, South Korea.
[Cho, Byung Cheol] Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South Korea.
[Cho, Byung Cheol] Kunsan Natl Univ, Saemangeum Environm Res Ctr, Kunsan, South Korea.
RP Park, JS (corresponding author), Kyungpook Natl Univ, Dept Oceanog, Daegu, South Korea.
EM jongsoopark@knu.ac.kr
CR Abellan-Schneyder I, 2021, MSPHERE, V6, DOI 10.1128/mSphere.01202-20
Alam A, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2015.21, 10.1038/nmicrobiol.2015.21]
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Bar-On YM, 2018, P NATL ACAD SCI USA, V115, P6506, DOI 10.1073/pnas.1711842115
Bengtsson MM, 2010, BMC MICROBIOL, V10, DOI 10.1186/1471-2180-10-261
BENNETT KW, 1993, J MED MICROBIOL, V39, P246, DOI 10.1099/00222615-39-4-246
Bowman JP, 2003, APPL ENVIRON MICROB, V69, P2463, DOI 10.1128/AEM.69.5.2463-2483.2003
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Bukin YS, 2019, SCI DATA, V6, DOI 10.1038/sdata.2019.7
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chao A, 2015, METHODS ECOL EVOL, V6, P380, DOI 10.1111/2041-210X.12247
CHO BC, 1988, NATURE, V332, P441, DOI 10.1038/332441a0
Choi J, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-63561-z
Choo YJ, 2007, INT J SYST EVOL MICR, V57, P532, DOI 10.1099/ijs.0.64616-0
Chouari R, 2005, ENVIRON MICROBIOL, V7, P1104, DOI 10.1111/j.1462-2920.2005.00795.x
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
Comeau AM, 2017, MSYSTEMS, V2, DOI 10.1128/mSystems.00127-16
Curtis TP, 2002, P NATL ACAD SCI USA, V99, P10494, DOI 10.1073/pnas.142680199
Dedysh SN, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiy227
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Edgar RC, 2015, BIOINFORMATICS, V31, P3476, DOI 10.1093/bioinformatics/btv401
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Godon JJ, 2005, ENVIRON MICROBIOL, V7, P213, DOI 10.1111/j.1462-2920.2004.00693.x
Gotelli NJ, 2001, ECOL LETT, V4, P379, DOI 10.1046/j.1461-0248.2001.00230.x
Graspeuntner S, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-27757-8
Hahn MW, 2017, INT J SYST EVOL MICR, V67, P2555, DOI 10.1099/ijsem.0.001965
Hahnke RL, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.02003
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Hongoh Y, 2003, FEMS MICROBIOL LETT, V221, P299, DOI 10.1016/S0378-1097(03)00218-0
Hugenholtz P, 2009, ENVIRON MICROBIOL, V11, P1327, DOI 10.1111/j.1462-2920.2009.01949.x
Janssen S, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00021-18
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Johnson JS, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13036-1
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kim M, 2011, J MICROBIOL METH, V84, P81, DOI 10.1016/j.mimet.2010.10.020
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lanzén A, 2011, FEMS MICROBIOL ECOL, V77, P577, DOI 10.1111/j.1574-6941.2011.01138.x
Lee ZMP, 2009, NUCLEIC ACIDS RES, V37, pD489, DOI 10.1093/nar/gkn689
Li WZ, 2012, BRIEF BIOINFORM, V13, P656, DOI 10.1093/bib/bbs035
Liu ZZ, 2007, NUCLEIC ACIDS RES, V35, DOI 10.1093/nar/gkm541
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
McNichol J, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00565-21
Mesa V, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01756
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nagata T., 2008, Microbial Ecology of the Oceans, P207, DOI DOI 10.1002/9780470281840.CH7
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Peiffer JA, 2013, P NATL ACAD SCI USA, V110, P6548, DOI 10.1073/pnas.1302837110
Petrosino JF, 2009, CLIN CHEM, V55, P856, DOI 10.1373/clinchem.2008.107565
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Ruppert KM, 2019, GLOB ECOL CONSERV, V17, DOI 10.1016/j.gecco.2019.e00547
Saad S, 2017, ENVIRON MICROBIOL, V19, P4866, DOI 10.1111/1462-2920.13895
Sahm K, 2013, EXTREMOPHILES, V17, P649, DOI 10.1007/s00792-013-0548-2
SHERR EB, 1994, MICROBIAL ECOL, V28, P223, DOI 10.1007/BF00166812
Spring S, 2016, ISME J, V10, P2801, DOI 10.1038/ismej.2016.84
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Takahashi S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105592
Thijs S, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00494
Tidgewell K, 2010, COMPREHENSIVE NATURAL PRODUCTS II: CHEMISTRY AND BIOLOGY, VOL 2: NATURAL PRODUCTS STRUCTURAL DIVERSITY-II: SECONDARY METABOLITES: SOURCES, STRUCTURES AND CHEMICAL BIOLOGY, P141
Vartoukian SR, 2007, ANAEROBE, V13, P99, DOI 10.1016/j.anaerobe.2007.05.004
WAGNER A, 1994, SYST BIOL, V43, P250, DOI 10.2307/2413465
Ward DV, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039315
Wear EK, 2018, ENVIRON MICROBIOL, V20, P2709, DOI 10.1111/1462-2920.14091
Wessner D. R., 2013, Microbiology, P484
Will C, 2010, APPL ENVIRON MICROB, V76, P6751, DOI 10.1128/AEM.01063-10
Willis C, 2019, FEMS MICROBIOL LETT, V366, DOI 10.1093/femsle/fnz152
Yu Y, 2005, BIOTECHNOL BIOENG, V89, P670, DOI 10.1002/bit.20347
NR 80
TC 9
Z9 11
PD OCT 9
PY 2023
VL 10
AR 1199116
DI 10.3389/fmars.2023.1199116
UT WOS:001089262300001
DA 2025-07-30
ER
PT J
AU Arikawa, S
Sugimoto, T
Okitsu, T
Wada, A
Katayama, K
Kandori, H
Kawamura, I
AF Arikawa, Sui
Sugimoto, Teppei
Okitsu, Takashi
Wada, Akimori
Katayama, Kota
Kandori, Hideki
Kawamura, Izuru
TI Solid-state NMR for the characterization of retinal chromophore and
Schiff base in TAT rhodopsin embedded in membranes under weakly acidic
conditions
SO BIOPHYSICS AND PHYSICOBIOLOGY
DT Article
AB TAT rhodopsin extracted from the marine bacterium SAR11 HIMB114 has a characteristic Thr- Ala-Thr motif and contains both protonated and deprotonated states of Schiff base at physiological pH conditions due to the low pKa. Here, using solid-state NMR spectroscopy, we investigated the 13C and 15N NMR signals of retinal in only the protonated state of TAT in the 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine/1-palmitoyl- 2-oleoyl-snglycero-3- phospho (1'-rac-glycerol) (POPE/POPG) membrane at weakly acidic conditions. In the 13C NMR spectrum of 13C retinal-labeled TAT rhodopsin, the isolated 14- 13C signals of 13-trans/15-anti and 13-cis/15-syn isomers were observed at a ratio of 7:3. 15N retinal protonated Schiff base (RPSB) had a significantly higher magnetic field resonance at 160 ppm. In 15N RPSB/.max analysis, the plot of TAT largely deviated from the trend based on the retinylidene-halide model compounds and microbial rhodopsins. Our findings indicate that the RPSB of TAT forms a very weak interaction with the counterion.
C1 [Arikawa, Sui; Kawamura, Izuru] Yokohama Natl Univ, Grad Sch Engn Sci, Yokohama, Kanagawa 2408501, Japan.
[Sugimoto, Teppei; Katayama, Kota; Kandori, Hideki] Nagoya Inst Technol, Dept Life Sci & Appl Chem, Nagoya, Aichi 4668555, Japan.
[Okitsu, Takashi] Toyama Univ, Fac Pharmaceut Sci, Toyama 9300194, Japan.
[Okitsu, Takashi; Wada, Akimori] Kobe Pharmaceut Univ, Lab Organ Chem Life Sci, Kobe, Hyogo 6588558, Japan.
[Katayama, Kota; Kandori, Hideki] Nagoya Inst Technol, OptoBioTechnol Res Ctr, Nagoya, Aichi 4668555, Japan.
RP Kawamura, I (corresponding author), Yokohama Natl Univ, Tokiwadai 79-5,Hodogaya Ku, Yokohama, Kanagawa 2408501, Japan.
EM izuruk@ynu.ac.jp
CR Bajaj VS, 2009, P NATL ACAD SCI USA, V106, P9244, DOI 10.1073/pnas.0900908106
DEGROOT HJM, 1989, BIOCHEMISTRY-US, V28, P3346, DOI 10.1021/bi00434a033
Ernst OP, 2014, CHEM REV, V114, P126, DOI 10.1021/cr4003769
Fukada H, 1998, PROTEINS, V33, P159, DOI 10.1002/(SICI)1097-0134(19981101)33:2<159::AID-PROT2>3.3.CO;2-F
HARBISON GS, 1983, BIOCHEMISTRY-US, V22, P1, DOI 10.1021/bi00270a600
Hatcher ME, 2002, BIOPHYS J, V82, P1017, DOI 10.1016/S0006-3495(02)75461-1
Hayashi S, 2013, BIOPHYS CHEM, V172, P61, DOI 10.1016/j.bpc.2013.01.001
Imasheva ES, 2004, BIOCHEMISTRY-US, V43, P1648, DOI 10.1021/bi0355894
Inoue K, 2014, BBA-BIOENERGETICS, V1837, P562, DOI 10.1016/j.bbabio.2013.05.005
Kandori H, 2015, FRONT MOL BIOSCI, V2, DOI 10.3389/fmolb.2015.00052
Kaneko Akimasa, 2017, Biophys Rev, V9, P861, DOI 10.1007/s12551-017-0335-x
Kataoka C, 2021, BIOCHEMISTRY-US, V60, P899, DOI 10.1021/acs.biochem.0c00951
Kataoka C, 2019, J PHYS CHEM LETT, V10, P5117, DOI 10.1021/acs.jpclett.9b01957
KATAOKA M, 1994, J MOL BIOL, V243, P621, DOI 10.1016/0022-2836(94)90037-X
Kawamura I, 2021, BIOPHYS PHYSICOBIOL, V18, P177, DOI 10.2142/biophysico.bppb-v18.019
Kojima K, 2020, BIOCHEMISTRY-US, V59, P218, DOI 10.1021/acs.biochem.9b00768
Kurihara M, 2015, BIOPHYS PHYSICOBIOL, V12, P121, DOI 10.2142/biophysico.12.0_121
Luecke H, 1999, J MOL BIOL, V291, P899, DOI 10.1006/jmbi.1999.3027
LUGTENBURG J, 1985, PURE APPL CHEM, V57, P753, DOI 10.1351/pac198557050753
Naito Akira, 2019, Biophys Rev, V11, P167, DOI 10.1007/s12551-019-00501-w
Nakajima Y, 2018, MICROBES ENVIRON, V33, P89, DOI 10.1264/jsme2.ME17197
Philosof A, 2013, ENV MICROBIOL REP, V5, P475, DOI 10.1111/1758-2229.12037
ROUSSO I, 1995, BIOCHEMISTRY-US, V34, P12059, DOI 10.1021/bi00037a049
Rozenberg A, 2021, ANNU REV MICROBIOL, V75, P427, DOI 10.1146/annurev-micro-031721-020452
SHEVES M, 1986, P NATL ACAD SCI USA, V83, P3262, DOI 10.1073/pnas.83.10.3262
Shi LC, 2011, ANGEW CHEM INT EDIT, V50, P1302, DOI 10.1002/anie.201004422
Shibata M, 2003, J AM CHEM SOC, V125, P13312, DOI 10.1021/ja037343s
Shigeta A, 2018, PHYS CHEM CHEM PHYS, V20, P8450, DOI 10.1039/c8cp00626a
Shionoya T, 2018, J PHYS CHEM B, V122, P6945, DOI 10.1021/acs.jpcb.8b04894
Sugimoto T, 2022, J PHYS CHEM B, V126, P2203, DOI 10.1021/acs.jpcb.2c00233
Sugimoto T, 2021, BIOPHYS PHYSICOBIOL, V18, P108, DOI 10.2142/biophysico.bppb-v18.012
Takegoshi K, 2001, CHEM PHYS LETT, V344, P631, DOI 10.1016/S0009-2614(01)00791-6
Tomonaga Y, 2011, BIOPHYS J, V101, pL50, DOI 10.1016/j.bpj.2011.10.022
VARO G, 1995, BIOPHYS J, V68, P2062, DOI 10.1016/S0006-3495(95)80385-1
NR 34
TC 6
Z9 6
PY 2023
VL 20
SU S
SI SI
DI 10.2142/biophysico.bppb-v20.s017
UT WOS:000994201700017
DA 2025-07-30
ER
PT J
AU Xie, ZX
Yan, KQ
Kong, LF
Gai, YB
Jin, T
He, YB
Wang, YY
Chen, F
Lin, L
Lin, ZL
Xu, HK
Shao, ZZ
Liu, SQ
Wang, DZ
AF Xie, Zhang-Xian
Yan, Ke-Qiang
Kong, Ling-Fen
Gai, Ying-Bao
Jin, Tao
He, Yan-Bin
Wang, Ya-Yu
Chen, Feng
Lin, Lin
Lin, Zhi-Long
Xu, Hong-Kai
Shao, Zong-Ze
Liu, Si-Qi
Wang, Da-Zhi
TI Metabolic tuning of a stable microbial community in the surface
oligotrophic Indian Ocean revealed by integrated meta-omics
SO MARINE LIFE SCIENCE & TECHNOLOGY
DT Article
AB Understanding the mechanisms, structuring microbial communities in oligotrophic ocean surface waters remains a major ecological endeavor. Functional redundancy and metabolic tuning are two mechanisms that have been proposed to shape microbial response to environmental forcing. However, little is known about their roles in the oligotrophic surface ocean due to less integrative characterization of community taxonomy and function. Here, we applied an integrated meta-omics-based approach, from genes to proteins, to investigate the microbial community of the oligotrophic northern Indian Ocean. Insignificant spatial variabilities of both genomic and proteomic compositions indicated a stable microbial community that was dominated by Prochlorococcus, Synechococcus, and SAR11. However, fine tuning of some metabolic functions that are mainly driven by salinity and temperature was observed. Intriguingly, a tuning divergence occurred between metabolic potential and activity in response to different environmental perturbations. Our results indicate that metabolic tuning is an important mechanism for sustaining the stability of microbial communities in oligotrophic oceans. In addition, integrated meta-omics provides a powerful tool to comprehensively understand microbial behavior and function in the ocean.
C1 [Xie, Zhang-Xian; Kong, Ling-Fen; Lin, Lin; Wang, Da-Zhi] Xiamen Univ, State Key Lab Marine Environm Sci, Coll Environm & Ecol, Xiamen 361005, Peoples R China.
[Xie, Zhang-Xian] Xiamen Univ, Coll Ocean & Earth Sci, Xiamen 361005, Peoples R China.
[Xie, Zhang-Xian; Lin, Lin; Wang, Da-Zhi] Sun Yat Sen Univ, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China.
[Yan, Ke-Qiang; Jin, Tao; He, Yan-Bin; Wang, Ya-Yu; Lin, Zhi-Long; Xu, Hong-Kai; Liu, Si-Qi] BGI Shenzhen, Beishan Ind Zone 11th Bldg, Shenzhen 518083, Peoples R China.
[Yan, Ke-Qiang; Xu, Hong-Kai] Univ Chinese Acad Sci, BGI Educ Ctr, Shenzhen 518083, Peoples R China.
[Gai, Ying-Bao; Shao, Zong-Ze] Minist Nat Resources China, Key Lab Marine Genet Resources, Inst Oceanog 3, Xiamen 361005, Peoples R China.
[Gai, Ying-Bao; Shao, Zong-Ze] Fujian Key Lab Marine Genet Resources, State Key Lab Breeding Base Marine Genet Resource, Xiamen 361005, Peoples R China.
[Chen, Feng] Univ Maryland, Inst Marine & Environm Technol, Ctr Environm Sci, Baltimore, MD 21202 USA.
RP Wang, YY; Liu, SQ (corresponding author), BGI Shenzhen, Beishan Ind Zone 11th Bldg, Shenzhen 518083, Peoples R China.
EM dzwang@xmu.edu.cn; siqiliu@genomics.cn
CR Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
BLOMFIELD IC, 1991, MOL MICROBIOL, V5, P1447, DOI 10.1111/j.1365-2958.1991.tb00791.x
Burton RE, 2005, NAT STRUCT MOL BIOL, V12, P245, DOI 10.1038/nsmb898
Cao Y, 2013, NATURE, V496, P317, DOI 10.1038/nature12056
Chen YX, 2017, GIGASCIENCE, V7, DOI 10.1093/gigascience/gix120
Chhangawala S, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0697-y
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Du Y, 2015, J CLIMATE, V28, P695, DOI 10.1175/JCLI-D-14-00435.1
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Eiler A, 2014, ENVIRON MICROBIOL, V16, P2682, DOI 10.1111/1462-2920.12301
Elkahoui S, 2004, PHYTOCHEMISTRY, V65, P1911, DOI 10.1016/j.phytochem.2004.06.021
Fang Chao, 2018, Gigascience, V7, P1, DOI 10.1093/gigascience/gix133
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Fraser MW, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01703
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Gebhard S, 2006, MICROBIOL-SGM, V152, P3453, DOI 10.1099/mic.0.29201-0
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
Gurumurthy M, 2013, MOL MICROBIOL, V87, P744, DOI 10.1111/mmi.12127
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hove-Jensen B, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046416
Huang J, 2017, GIGASCIENCE, V6, DOI 10.1093/gigascience/gix024
Ito T, 2013, J BACTERIOL, V195, P5439, DOI 10.1128/JB.00593-13
Johnson DC, 2005, ANNU REV BIOCHEM, V74, P247, DOI 10.1146/annurev.biochem.74.082803.133518
Karlusich JJP, 2020, ANNU REV MAR SCI, V12, P233, DOI 10.1146/annurev-marine-010419-010706
Kehres DG, 2000, MOL MICROBIOL, V36, P1085, DOI 10.1046/j.1365-2958.2000.01922.x
KIINO DR, 1989, J BACTERIOL, V171, P4595, DOI 10.1128/jb.171.9.4595-4602.1989
Kimbrel JA, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01492
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Louca S, 2018, NAT ECOL EVOL, V2, P936, DOI 10.1038/s41559-018-0519-1
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Marañón E, 2003, MAR ECOL PROG SER, V257, P1, DOI 10.3354/meps257001
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Moya A, 2016, TRENDS MICROBIOL, V24, P402, DOI 10.1016/j.tim.2016.02.002
Nachin L, 2003, EMBO J, V22, P427, DOI 10.1093/emboj/cdg061
Ortega-Retuerta E, 2013, BIOGEOSCIENCES, V10, P2747, DOI 10.5194/bg-10-2747-2013
Qin JJ, 2012, NATURE, V490, P55, DOI 10.1038/nature11450
Quinn JP, 2007, ENVIRON MICROBIOL, V9, P2392, DOI 10.1111/j.1462-2920.2007.01397.x
Reeburgh WS, 2007, CHEM REV, V107, P486, DOI 10.1021/cr050362v
Reniere ML, 2008, MOL MICROBIOL, V69, P1304, DOI 10.1111/j.1365-2958.2008.06363.x
Reniere ML, 2010, MOL MICROBIOL, V75, P1529, DOI 10.1111/j.1365-2958.2010.07076.x
Rhodius VA, 2006, PLOS BIOL, V4, P43, DOI 10.1371/journal.pbio.0040002
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Saito MA, 2019, J PROTEOME RES, V18, P1461, DOI 10.1021/acs.jproteome.8b00761
Snook CF, 2003, BIOCHEMISTRY-US, V42, P4658, DOI 10.1021/bi027328k
Söderberg MA, 2008, APPL ENVIRON MICROB, V74, P1634, DOI 10.1128/AEM.02512-07
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Wang DZ, 2014, J PROTEOMICS, V97, P27, DOI 10.1016/j.jprot.2013.08.024
Wang YY, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.518865
Weatherspoon-Griffin N, 2014, J BIOL CHEM, V289, DOI 10.1074/jbc.M114.565762
Wisniewski JR, 2009, NAT METHODS, V6, P359, DOI [10.1038/nmeth.1322, 10.1038/NMETH.1322]
Yan Z, 2017, MBIO, V8, DOI 10.1128/mBio.02285-16
Yang J, 2016, SCI REP-UK, V6, DOI 10.1038/srep25078
Yoshimura KM, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00100
Zhang Y, 2006, AQUAT MICROB ECOL, V43, P233, DOI 10.3354/ame043233
Zheng XW, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00017
NR 57
TC 8
Z9 9
PD MAY
PY 2022
VL 4
IS 2
BP 277
EP 290
DI 10.1007/s42995-021-00119-6
EA JAN 2022
UT WOS:000736935600002
DA 2025-07-30
ER
PT J
AU Chénard, C
Wijaya, W
Vaulot, D
dos Santos, AL
Martin, P
Kaur, A
Lauro, FM
AF Chenard, Caroline
Wijaya, Winona
Vaulot, Daniel
Lopes dos Santos, Adriana
Martin, Patrick
Kaur, Avneet
Lauro, Federico M.
TI Temporal and spatial dynamics of Bacteria, Archaea and protists in
equatorial coastal waters
SO SCIENTIFIC REPORTS
DT Article
AB Singapore, an equatorial island in South East Asia, is influenced by a bi-annual reversal of wind directions which defines two monsoon seasons. We characterized the dynamics of the microbial communities of Singapore coastal waters by collecting monthly samples between February 2017 and July 2018 at four sites located across two straits with different trophic status, and sequencing the V6-V8 region of the small sub-unit ribosomal RNA gene (rRNA gene) of Bacteria, Archaea, and Eukaryota. Johor Strait, which is subjected to wider environmental fluctuations from anthropogenic activities, presented a higher abundance of copiotrophic microbes, including Cellvibrionales and Rhodobacterales. The mesotrophic Singapore Strait, where the seasonal variability is caused by changes in the oceanographic conditions, harboured a higher proportion of typically marine microbe groups such as Synechococcales, Nitrosupumilales, SAR11, SAR86, Marine Group II Archaea and Radiolaria. In addition, we observed seasonal variability of the microbial communities in the Singapore Strait, which was possibly influenced by the alternating monsoon regime, while no seasonal pattern was detected in the Johor Strait.
C1 [Chenard, Caroline; Wijaya, Winona; Vaulot, Daniel; Lopes dos Santos, Adriana; Martin, Patrick; Kaur, Avneet; Lauro, Federico M.] Nanyang Technol Univ, Asian Sch Environm, 50 Nanyang Ave, Singapore 639798, Singapore.
[Vaulot, Daniel] Sorbonne Univ, Ecol Marine Plankton Team, Stn Biol Roscoff, CNRS,UMR7144, F-29680 Roscoff, France.
[Lopes dos Santos, Adriana] Univ Mayor, GEMA Ctr Genom Ecol & Environm, Camino Piramide, Santiago 5750, Chile.
[Lauro, Federico M.] Nanyang Technol Univ, SCELSE, 60 Nanyang Dr, Singapore 637551, Singapore.
RP Lauro, FM (corresponding author), Nanyang Technol Univ, Asian Sch Environm, 50 Nanyang Ave, Singapore 639798, Singapore.; Lauro, FM (corresponding author), Nanyang Technol Univ, SCELSE, 60 Nanyang Dr, Singapore 637551, Singapore.
EM flauro@ntu.edu.sg
CR Abdul-Hadi A, 2013, ENVIRON MONIT ASSESS, V185, P3977, DOI 10.1007/s10661-012-2843-2
Adolf JE, 2006, ESTUAR COAST SHELF S, V67, P108, DOI 10.1016/j.ecss.2005.11.030
Allen MA, 2017, SCI REP-UK, V7, DOI 10.1038/srep44480
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
An ZS, 2015, ANNU REV EARTH PL SC, V43, P29, DOI 10.1146/annurev-earth-060313-054623
[Anonymous], TECH REP
[Anonymous], 2012, STANDARD METHODS EXA
[Anonymous], 2018, PEER J PREPRINTS
[Anonymous], ILL 16S MET SEQ WORK
[Anonymous], ANN CLIM REP
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Bass D, 2004, INT J SYST EVOL MICR, V54, P2393, DOI 10.1099/ijs.0.63229-0
Bauer JE, 2013, NATURE, V504, P61, DOI 10.1038/nature12857
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bokulich NA, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00219-18
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chatterjea K, 1998, LAND DEGRAD DEV, V9, P143, DOI 10.1002/(SICI)1099-145X(199803/04)9:2<143::AID-LDR264>3.0.CO;2-I
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
COLEBROOK JM, 1979, MAR BIOL, V51, P23, DOI 10.1007/BF00389027
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Crawford DW, 1997, ESTUAR COAST SHELF S, V45, P799, DOI 10.1006/ecss.1997.0242
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Farrant GK, 2016, P NATL ACAD SCI USA, V113, pE3365, DOI 10.1073/pnas.1524865113
Foflonker F, 2015, ENVIRON MICROBIOL, V17, P412, DOI 10.1111/1462-2920.12541
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gin KYH, 2000, J PLANKTON RES, V22, P1465, DOI 10.1093/plankt/22.8.1465
Gin KYH, 2003, J PLANKTON RES, V25, P1507, DOI 10.1093/plankt/fbg112
Giner CR, 2019, MOL ECOL, V28, P923, DOI 10.1111/mec.14929
Guillou L, 2008, ENVIRON MICROBIOL, V10, P3349, DOI 10.1111/j.1462-2920.2008.01731.x
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Gustafson DE, 2000, NATURE, V405, P1049, DOI 10.1038/35016570
Haro-Moreno JM, 2017, ISME J, V11, P1102, DOI 10.1038/ismej.2016.188
Herfort L, 2011, ESTUAR COAST SHELF S, V95, P440, DOI 10.1016/j.ecss.2011.10.015
Jacobs J, 2009, APPL ENVIRON MICROB, V75, P7378, DOI 10.1128/AEM.01900-09
Johnson MD, 2013, J PLANKTON RES, V35, P877, DOI 10.1093/plankt/fbt028
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kerouel R, 1997, MAR CHEM, V57, P265, DOI 10.1016/S0304-4203(97)00040-6
Kim S, 2007, ESTUAR COAST SHELF S, V71, P159, DOI 10.1016/j.ecss.2006.07.011
Kopf A, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0066-5
Lambert S, 2019, ISME J, V13, P388, DOI 10.1038/s41396-018-0281-z
Lin YC, 2017, J EUKARYOT MICROBIOL, V64, P349, DOI 10.1111/jeu.12370
Liu HY, 2017, FRONT MICROBIOL, V8, P1, DOI 10.3389/fmicb.2017.01163
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
MALLIN MA, 1994, ESTUARIES, V17, P561, DOI 10.2307/1352404
Martin M., 2011, EMBnet J, V17, P10
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
Miki M, 2008, J OCEANOGR, V64, P663, DOI 10.1007/s10872-008-0056-7
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Morton JT, 2017, MSYSTEMS, V2, DOI 10.1128/mSystems.00162-16
Oksanen, 2022, VEGAN COMMUNITY ECOL
Piredda R, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw200
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Qiu DJ, 2016, P NATL ACAD SCI USA, V113, P12208, DOI 10.1073/pnas.1612483113
R Core Team R., 2013, R: A language and environment for statistical computing, DOI 10.1007/978-3-540-74686-7
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Saxena G, 2018, MSYSTEMS, V3, DOI [10.1128/mSystems.00136-17, 10.1128/msystems.00136-17]
Shade A, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00417
Siswanto E, 2014, REMOTE SENS-BASEL, V6, P2718, DOI 10.3390/rs6042718
Smith SV, 2010, GLOB CHANGE IGBP SER, P575, DOI 10.1007/978-3-540-92735-8_14
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-118
Sriwoon R, 2008, J PHYCOL, V44, P605, DOI 10.1111/j.1529-8817.2008.00516.x
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Tan KS, 2016, REG STUD MAR SCI, V8, P340, DOI 10.1016/j.rsma.2016.01.008
Tham AK, 1973, SPECIAL PUBL NK PANI, V1, P60
Tragin M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-41680-6
van Maren DS, 2014, CONT SHELF RES, V76, P75, DOI 10.1016/j.csr.2013.12.001
Wang J, 2006, J MARINE SYST, V59, P111, DOI 10.1016/j.jmarsys.2005.09.004
Wang SY, 2014, J PHYCOL, V50, P303, DOI 10.1111/jpy.12158
Wilkins D, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3457
Winder M, 2010, PHILOS T R SOC B, V365, P3215, DOI 10.1098/rstb.2010.0125
Wu WX, 2014, FEMS MICROBIOL ECOL, V89, P563, DOI 10.1111/1574-6941.12357
Xu M, 2016, J HYDRO-ENVIRON RES, V12, P70, DOI 10.1016/j.jher.2015.11.005
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Zhang CLL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01108
Zhu F, 2005, FEMS MICROBIOL ECOL, V52, P79, DOI 10.1016/j.femsec.2004.10.006
NR 80
TC 37
Z9 39
PD NOV 8
PY 2019
VL 9
AR 16390
DI 10.1038/s41598-019-52648-x
UT WOS:000495373400008
DA 2025-07-30
ER
PT J
AU Coleman, ML
Chisholm, SW
AF Coleman, Maureen L.
Chisholm, Sallie W.
TI Ecosystem-specific selection pressures revealed through comparative
population genomics
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Bacterial populations harbor vast genetic diversity that is continually shaped by abiotic and biotic selective pressures, as well as by neutral processes. Individuals coexisting in the same geographically defined population often have significantly different gene content, but whether this variation is largely adaptive or neutral remains poorly understood. Here we quantify heterogeneity in gene content for two model marine microbes, Prochlorococcus and Pelagibacter, within and between populations in the Atlantic and Pacific Oceans, to begin to understand the selective pressures that are shaping these "population genomes." We discovered a large fraction of genes that are rare in each population, reflecting continual gene transfer and loss. Despite this high variation within each population, only a few genes significantly differ in abundance between the two biogeochemically distinct environments; nearly all of these are related to phosphorus acquisition and are enriched in the Atlantic relative to the Pacific. Moreover, P-related genes from the two sites form phylogenetically distinct clusters, whereas housekeeping genes do not, consistent with a recent spread of adaptive P-related genes in the Atlantic populations. These findings implicate phosphorus availability as the dominant selective force driving divergence between these populations, and demonstrate the promise of this approach for revealing selective agents in more complex microbial systems.
C1 [Coleman, Maureen L.; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA 02139 USA.
RP Chisholm, SW (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM chisholm@mit.edu
CR Ammerman J.W., 2003, EOS T AM GEOPHYS UN, V84, P165, DOI [10.1029/2003-o180001, DOI 10.1029/2003-O180001, DOI 10.1029/2003EO180001]
Belshaw R, 2005, BIOINFORMATICS, V21, P122, DOI 10.1093/bioinformatics/bth459
Björkman K, 2000, AQUAT MICROB ECOL, V22, P185, DOI 10.3354/ame022185
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cohan FM, 2006, PHILOS T R SOC B, V361, P1985, DOI 10.1098/rstb.2006.1918
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Cuadros-Orellana S, 2007, ISME J, V1, P235, DOI 10.1038/ismej.2007.35
CUTTER GA, 1995, MAR CHEM, V49, P295, DOI 10.1016/0304-4203(95)00019-N
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Hacker J, 2001, EMBO REP, V2, P376, DOI 10.1093/embo-reports/kve097
Hartmann S, 2008, BMC EVOL BIOL, V8, DOI 10.1186/1471-2148-8-95
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Jickells TD, 2005, SCIENCE, V308, P67, DOI 10.1126/science.1105959
Karl DM, 2007, MANUAL OF ENVIRONMENTAL MICROBIOLOGY, 3RD ED, P523
Karl DM, 2007, NAT REV MICROBIOL, V5, P759, DOI 10.1038/nrmicro1749
Karl DM., 2001, OCEANOGRAPHY, V14, P6
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Kuo CH, 2009, FEMS MICROBIOL REV, V33, P38, DOI 10.1111/j.1574-6976.2008.00140.x
Lawrence JG, 2005, CURR OPIN MICROBIOL, V8, P572, DOI 10.1016/j.mib.2005.08.005
Lozupone C, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-371
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Marchler-Bauer A, 2004, NUCLEIC ACIDS RES, V32, pW327, DOI 10.1093/nar/gkh454
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P823, DOI 10.1111/j.1462-2920.2008.01803.x
Mira A, 2001, TRENDS GENET, V17, P589, DOI 10.1016/S0168-9525(01)02447-7
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Rohlf F.J, 1995, BIOMETRY
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SANDERS JG, 1980, ESTUAR COAST MAR SCI, V10, P555, DOI 10.1016/S0302-3524(80)80075-2
Simmons SL, 2008, PLOS BIOL, V6, P1427, DOI 10.1371/journal.pbio.0060177
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Welch RA, 2002, P NATL ACAD SCI USA, V99, P17020, DOI 10.1073/pnas.252529799
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
Whitaker RJ, 2006, TRENDS ECOL EVOL, V21, P508, DOI 10.1016/j.tree.2006.07.001
Wildschutte H, 2004, P NATL ACAD SCI USA, V101, P10644, DOI 10.1073/pnas.0404028101
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wilmes P, 2009, FEMS MICROBIOL REV, V33, P109, DOI 10.1111/j.1574-6976.2008.00144.x
Woese CR, 2009, MICROBIOL MOL BIOL R, V73, P14, DOI 10.1128/MMBR.00002-09
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zinser ER, 2006, APPL ENVIRON MICROB, V72, P723, DOI 10.1128/AEM.72.1.723-732.2006
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
NR 50
TC 196
Z9 221
PD OCT 26
PY 2010
VL 107
IS 43
BP 18634
EP 18639
DI 10.1073/pnas.1009480107
UT WOS:000283677400074
DA 2025-07-30
ER
PT C
AU Chen, C
Zhang, ZC
Ding, AZ
Wu, JY
Xiao, JF
Sun, YJ
AF Chen Cheng
Zhang Zaichao
Ding Aizhong
Wu Jiayan
Xiao Jingfa
Sun Yujiao
BE Zhu, R
TI Bar-Coded Pyrosequencing Reveals the Bacterial Community during
Microcystis water Bloom in Guanting Reservoir, Beijing
SO SECOND SREE CONFERENCE ON CHEMICAL ENGINEERING (CCE 2011)
SE Procedia Engineering
DT Proceedings Paper
CT 2nd SREE Conference on Chemical Engineering (CCE)
CY DEC 17-18, 2011
CL Macao, PEOPLES R CHINA
AB An understanding of bacterial community composition is a fundamental goal of identifying ecological efficiency caused by Microcystis bloom in aquatic system. In this study, we employed bar-coded 454 pyrosequencing approach to investigate the bacterial community variation during a Microcystis water bloom in Guanting Reservoir, Beijing. More than 140,000 sequences were generated and assigned to 7133 operational taxonomic units (OTUs) which belong to 18 phyla through Ribosomal Database Pyrosequencing (RDP) database. Microcystis was detected at low abundance in July then broke out and became the exclusive dominant genus in September. Meanwhile, bacteria composition changed dramatically after the Microcystis water bloom reflected by the decrease of bacteria abundance, diversity and evenness indices. The classify results indicated that dominant species in July were Pelagibacter, Haliscomenobacter, Rhodobacter and Fluviicola. In September, Methylotenera, Flavobacterium and Methylophilus were the dominant genera. It is worth noticing that all the dominant genera in July was more or less related to nitrogen and phosphorus cycling while in September, dominant genera Flavobacterium was reported as Microcystis lysing bacterium and may be a symptom of the coming postbloom phase of Microcystis water bloom in Guanting Reservoir. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Society for Resources, Environment and Engineering
C1 [Chen Cheng; Ding Aizhong; Sun Yujiao] Beijing Normal Univ, Coll Water Sci, 19 Xinjiekouwai St, Beijing 100875, Peoples R China.
[Zhang Zaichao; Wu Jiayan; Xiao Jingfa] Chinese Acad Sci, Beijing Inst Genom, Key Lab Genome Sci & Informat, CAS, Beijing 100029, Peoples R China.
RP Chen, C (corresponding author), Beijing Normal Univ, Coll Water Sci, 19 Xinjiekouwai St, Beijing 100875, Peoples R China.
EM sunyujiao@bnu.edu.cn
CR Acosta-Martínez V, 2008, SOIL BIOL BIOCHEM, V40, P2762, DOI 10.1016/j.soilbio.2008.07.022
Al-Thukair AA, 2007, MAR POLLUT BULL, V54, P173, DOI 10.1016/j.marpolbul.2006.08.043
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
BOSTROM B, 1989, AQUAT SCI, V51, P153, DOI 10.1007/BF00879300
Buée M, 2009, NEW PHYTOL, V184, P449, DOI 10.1111/j.1469-8137.2009.03003.x
Chao A, 2002, BIOMETRICS, V58, P531, DOI 10.1111/j.0006-341X.2002.00531.x
Dabert P, 2001, APPL MICROBIOL BIOT, V55, P500, DOI 10.1007/s002530000529
Dai R, 2008, J HAZARD MATER, V153, P470, DOI 10.1016/j.jhazmat.2007.08.078
Dunn J, 1996, BRIT MED J, V312, P1183
Hirooka K, 2009, J IND MICROBIOL BIOT, V36, P679, DOI 10.1007/s10295-009-0537-8
Jochimsen EM, 1998, NEW ENGL J MED, V338, P873, DOI 10.1056/NEJM199803263381304
Kalyuhznaya MG, 2009, ENV MICROBIOL REP, V1, P385, DOI 10.1111/j.1758-2229.2009.00046.x
Lauber LC, 2010, APPL ENVIRON MICROB, V75, P5111
Maruyama T, 2003, MICROB ECOL, V46, P279, DOI 10.1007/s00248-002-3007-7
Micah H, 2008, NATURE METHODS, V5, P235
Park HD, 2001, ENVIRON TOXICOL, V16, P337, DOI 10.1002/tox.1041
PEARL HW, 1988, GROWTH REPROD STRATE, P261
Qu JH, 2008, INT J SYST EVOL MICR, V58, P2186, DOI 10.1099/ijs.0.65586-0
Riemann L, 2001, MICROB ECOL, V42, P274, DOI 10.1007/s00248-001-0018-8
Roesch LF, 2007, ISME J, V1, P283, DOI 10.1038/ismej.2007.53
Saito T, 2003, FEMS MICROBIOL LETT, V229, P271, DOI 10.1016/S0378-1097(03)00847-4
Saker ML, 2007, APPL MICROBIOL BIOT, V75, P441, DOI 10.1007/s00253-006-0813-8
Shannon CE., 1949, MATH THEORY INFORM
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Steppe TF, 1996, FEMS MICROBIOL ECOL, V21, P149, DOI 10.1111/j.1574-6941.1996.tb00342.x
Teixeira LCRS, 2010, ISME J, V4, P989, DOI 10.1038/ismej.2010.35
Wang XT, 2003, B ENVIRON CONTAM TOX, V70, P351, DOI 10.1007/s00128-002-0198-z
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Yamamoto Yoko, 1993, Japanese Journal of Phycology, V41, P215
NR 31
TC 15
Z9 18
PY 2011
VL 18
DI 10.1016/j.proeng.2011.11.054
UT WOS:000300019800054
DA 2025-07-30
ER
PT J
AU Thiele, S
Vader, A
Thomson, S
Saubrekka, K
Petelenz, E
Müller, O
Bratbak, G
Ovreås, L
AF Thiele, Stefan
Vader, Anna
Thomson, Stuart
Saubrekka, Karoline
Petelenz, Elzbieta
Mueller, Oliver
Bratbak, Gunnar
ovreas, Lise
TI Seasonality of the bacterial and archaeal community composition of the
Northern Barents Sea
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB The Barents Sea is a transition zone between the Atlantic and the Arctic Ocean. The ecosystem in this region is highly variable, and a seasonal baseline of biological factors is needed to monitor the effects of global warming. In this study, we report the results from the investigations of the bacterial and archaeal community in late winter, spring, summer, and early winter along a transect through the northern Barents Sea into the Arctic Ocean east of Svalbard using 16S rRNA metabarcoding. Winter samples were dominated by members of the SAR11 clade and a community of nitrifiers, namely Cand. Nitrosopumilus and LS-NOB (Nitrospinia), suggest a prevalence of chemoautotrophic metabolisms. During spring and summer, members of the Gammaproteobacteria (mainly members of the SAR92 and OM60(NOR5) clades, Nitrincolaceae) and Bacteroidia (mainly Polaribacter, Formosa, and members of the NS9 marine group), which followed a succession based on their utilization of different phytoplankton-derived carbon sources, prevailed. Our results indicate that Arctic marine bacterial and archaeal communities switch from carbon cycling in spring and summer to nitrogen cycling in winter and provide a seasonal baseline to study the changes in these processes in response to the effects of climate change.
C1 [Thiele, Stefan; Petelenz, Elzbieta; Mueller, Oliver; Bratbak, Gunnar; ovreas, Lise] Univ Bergen, Dept Biol Sci, Bergen, Norway.
[Thiele, Stefan] Bjerknes Ctr Climate Res, Bergen, Norway.
[Vader, Anna; Thomson, Stuart; ovreas, Lise] Univ Ctr Svalbard UNIS, Longyearbyen, Norway.
[Saubrekka, Karoline] Univ Oslo, Dept Biosci, Oslo, Norway.
RP Thiele, S (corresponding author), Univ Bergen, Dept Biol Sci, Bergen, Norway.; Thiele, S (corresponding author), Bjerknes Ctr Climate Res, Bergen, Norway.
EM stefan.thiele@uib.no
CR Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Ardyna M, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.608032
Ardyna M, 2014, GEOPHYS RES LETT, V41, P6207, DOI 10.1002/2014GL061047
Asbjornsen H, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL088036
Assmy P, 2017, SCI REP-UK, V7, DOI 10.1038/srep40850
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chierici M., 2021, Water Column Data on Dissolved Inorganic Nutrients (Nitrite, Nitrate, Phosphate and Silicic Acid) from the Nansen LEGACY Seasonal Cruise Q4, 2019711 with R.V. Kronprins Haakon, DOI [10.21335/NMDC-1629206101, DOI 10.21335/NMDC-1629206101]
Chierici M., 2021, WATER COLUMN DATA DI, P5, DOI [10.21335/NMDC-1472517325, DOI 10.21335/NMDC-1472517325]
Collins RE, 2010, ENVIRON MICROBIOL, V12, P1828, DOI 10.1111/j.1462-2920.2010.02179.x
Connelly TL, 2014, APPL ENVIRON MICROB, V80, P6013, DOI 10.1128/AEM.01431-14
de Sousa AGG, 2019, MICROB ECOL, V78, P388, DOI 10.1007/s00248-018-01314-2
Degerlund M, 2010, ESTUAR COAST, V33, P242, DOI 10.1007/s12237-009-9167-7
Douglas GM, 2020, NAT BIOTECHNOL, V38, P685, DOI 10.1038/s41587-020-0548-6
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Graf DRH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0114118
Grüning B, 2018, NAT METHODS, V15, P475, DOI 10.1038/s41592-018-0046-7
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hodal H, 2008, DEEP-SEA RES PT II, V55, P2176, DOI 10.1016/j.dsr2.2008.05.012
Hunt GL, 2013, J MARINE SYST, V109, P43, DOI 10.1016/j.jmarsys.2012.08.003
Ingvaldsen RB, 2021, NAT REV EARTH ENV, V2, P874, DOI 10.1038/s43017-021-00228-x
Jones E., 2022, Water column data on dissolved inorganic nutrients (nitrite, nitrate, phosphate and silicic acid) from Process (P) stations during the Nansen LEGACY seasonal cruise Q2, 2021704, with R.V. Kronprins Haakon, 30 April-18 May 2021, DOI [10.21335/NMDC-487023368, DOI 10.21335/NMDC-487023368]
Jones E., 2022, Water column data on dissolved inorganic nutrients (nitrite, nitrate, phosphate and silicic acid) from Process (P) stations during the Nansen LEGACY seasonal cruise Q1, 2021703, with R.V. Kronprins Haakon, 4-17 March 2021, DOI [10.21335/NMDC-762320451, DOI 10.21335/NMDC-762320451]
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lind S, 2012, DEEP-SEA RES PT I, V62, P70, DOI 10.1016/j.dsr.2011.12.007
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
LOENG H, 1991, POLAR RES, V10, P5, DOI 10.1111/j.1751-8369.1991.tb00630.x
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mönnich J, 2020, ISME J, V14, P1614, DOI 10.1038/s41396-020-0631-5
Mori JF, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02435
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Muller O, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00024
O'Malley MA, 2008, STUD HIST PHI PART C, V39, P314, DOI 10.1016/j.shpsc.2008.06.005
Oksanen Jari, 2024, CRAN
Oziel L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15485-5
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paradis E, 2019, BIOINFORMATICS, V35, P526, DOI 10.1093/bioinformatics/bty633
Park BS, 2020, MAR ECOL-EVOL PERSP, V41, DOI 10.1111/maec.12591
Pedersen Thomas Lin, 2024, CRAN
Pedersen Thomas Lin, 2023, CRAN
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Puddu A, 2003, FEMS MICROBIOL ECOL, V46, P257, DOI 10.1016/S0168-6496(03)00197-1
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2020, R: a language and environment for statistical computing
Rantanen M, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00498-3
Rasmussen AN, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.01270-21
Reigstad M, 2002, J MARINE SYST, V38, P9, DOI 10.1016/S0924-7963(02)00167-7
Reintjes G, 2020, ENVIRON MICROBIOL, V22, P1884, DOI 10.1111/1462-2920.14971
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Reji L, 2019, ISME J, V13, P1144, DOI 10.1038/s41396-018-0311-x
Rohart F, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005752
Sakshaug E, 2004, ORGANIC CARBON CYCLE IN THE ARCTIC OCEAN, P57
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Silva E, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.746327
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Smedsrud LH, 2013, REV GEOPHYS, V51, P415, DOI 10.1002/rog.20017
Ssekagiri A., 2017, MICROBIOMESEQ R PACK, DOI DOI 10.13140/RG.2.2.17108.71047
Steer A., 2023, SEA ICE CONCENTRATIO
Sundfjord A., 2020, NANSEN LEGACY REPORT, DOI [10.7557/nlrs.5707, DOI 10.7557/NLRS.5707]
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
The Nansen Legacy, 2021, SAMPL PROT NANS LEG, DOI [10.7557/nlrs.5793, DOI 10.7557/NLRS.5793]
Thiele S, 2023, PROG OCEANOGR, V215, DOI 10.1016/j.pocean.2023.103054
Thiele S, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10081618
Thiele S, 2015, APPL ENVIRON MICROB, V81, P1463, DOI 10.1128/AEM.02570-14
Thiele S, 2012, APPL ENVIRON MICROB, V78, P8803, DOI 10.1128/AEM.01814-12
Thompson AW, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00074-4
Vihtakari M., 2022, PLOT DATA OCEANOGRAP
Wassmann P, 2011, GLOBAL CHANGE BIOL, V17, P1235, DOI 10.1111/j.1365-2486.2010.02311.x
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
Wickham H., 2019, J OPEN SOURCE SOFTWA, V4, P1686, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
Wickham Hadley, 2023, CRAN
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
NR 79
TC 8
Z9 9
PD JUL 7
PY 2023
VL 14
AR 1213718
DI 10.3389/fmicb.2023.1213718
UT WOS:001033178800001
DA 2025-07-30
ER
PT J
AU Gronniger, JL
Wang, Z
Brandt, GR
Ward, CS
Tsementzi, D
Mu, H
Gu, JY
Johnson, ZI
Konstantinidis, KT
Hunt, DE
AF Gronniger, Jessica L.
Wang, Zhao
Brandt, Genevieve R.
Ward, Christopher S.
Tsementzi, Despina
Mu, Han
Gu, Junyao
Johnson, Zackary I.
Konstantinidis, Konstantinos T.
Hunt, Dana E.
TI Rapid changes in coastal ocean microbiomes uncoupled with shifts in
environmental variables
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Disturbances, here defined as events that directly alter microbial community composition, are commonly studied in host-associated and engineered systems. In spite of global change both altering environmental averages and increasing extreme events, there has been relatively little research into the causes, persistence and population-level impacts of disturbance in the dynamic coastal ocean. Here, we utilize 3 years of observations from a coastal time series to identify disturbances based on the largest week-over-week changes in the microbiome (i.e. identifying disturbance as events that alter the community composition). In general, these microbiome disturbances were not clearly linked to specific environmental factors and responsive taxa largely differed, aside from SAR11, which generally declined. However, several disturbance metagenomes identified increased phage-associated genes, suggesting that unexplained community shifts might be caused by increased mortality. Furthermore, a category 1 hurricane, the only event that would likely be classified a priori as an environmental disturbance, was not an outlier in microbiome composition, but did enhance a bloom in seasonally abundant phytoplankton. Thus, as extreme environmental changes intensify, assumptions of what constitutes a disturbance should be re-examined in the context of ecological history and microbiome responses.
C1 [Gronniger, Jessica L.; Wang, Zhao; Ward, Christopher S.; Mu, Han; Gu, Junyao; Johnson, Zackary I.; Hunt, Dana E.] Duke Univ, Marine Lab, Beaufort, NC 28516 USA.
[Brandt, Genevieve R.; Tsementzi, Despina; Konstantinidis, Konstantinos T.] Georgia Tech, Atlanta, GA USA.
[Johnson, Zackary I.; Hunt, Dana E.] Duke Univ, Biol & Civil & Environm Engn, Durham, NC 27708 USA.
RP Hunt, DE (corresponding author), Duke Univ, Marine Lab, Beaufort, NC 28516 USA.; Hunt, DE (corresponding author), Duke Univ, Biol & Civil & Environm Engn, Durham, NC 27708 USA.
EM dana.hunt@duke.edu
CR Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Amaral-Zettler LA, 2008, ENVIRON SCI TECHNOL, V42, P9072, DOI 10.1021/es801904z
Ares A, 2020, ENVIRON MICROBIOL, V22, P4571, DOI 10.1111/1462-2920.15178
Asmala E, 2021, LIMNOL OCEANOGR LETT, V6, P43, DOI 10.1002/lol2.10169
ATLAS RM, 1991, MICROBIAL ECOL, V22, P249, DOI 10.1007/BF02540227
Balmonte JP, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01441
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2012, ISME J, V6, P1089, DOI 10.1038/ismej.2011.162
Clark JS, 2017, ECOL MONOGR, V87, P34, DOI 10.1002/ecm.1241
Coles VJ, 2017, SCIENCE, V358, P1149, DOI 10.1126/science.aan5712
Dai TH, 2012, FRONT MICROBIOL, V3, DOI [10.3389/fmicb.2012.00120, 10.3389/fmicb.2012.00417]
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Ferrenberg S, 2013, ISME J, V7, P1102, DOI 10.1038/ismej.2013.11
Gibbons SM, 2016, MBIO, V7, DOI 10.1128/mBio.01372-16
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Huang KX, 2020, MAR POLLUT BULL, V155, DOI 10.1016/j.marpolbul.2020.111200
Hunt, 2016, SEASONAL DISTURBANCE
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Johnson ZI, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0085117
Jones SE, 2008, LIMNOL OCEANOGR, V53, P1319, DOI 10.4319/lo.2008.53.4.1319
Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li DH, 2016, METHODS, V102, P3, DOI 10.1016/j.ymeth.2016.02.020
Mühlenbruch M, 2018, ENVIRON MICROBIOL, V20, P2671, DOI 10.1111/1462-2920.14302
Peierls BL, 2003, ESTUARIES, V26, P1329, DOI 10.1007/BF02803635
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Renes SE, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-68104-0
Rii YM, 2022, LIMNOL OCEANOGR, V67, pS331, DOI 10.1002/lno.11916
Rodriguez-R LM., 2016, PeerJ Preprints, V4, pe1900v1, DOI [DOI 10.7287/PEERJ.PREPRINTS.1900V1, 10.7287/peerj.preprints.1900v1]
Rodriguez-R LM, 2018, NUCLEIC ACIDS RES, V46, pW282, DOI 10.1093/nar/gky467
Shade A, 2014, MBIO, V5, DOI 10.1128/mBio.01371-14
Shade A, 2011, ENVIRON MICROBIOL, V13, P2752, DOI 10.1111/j.1462-2920.2011.02546.x
Shen DD, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02188
Sjöstedt J, 2018, ENV MICROBIOL REP, V10, P493, DOI 10.1111/1758-2229.12656
Stegen JC, 2018, CURR OPIN MICROBIOL, V44, P20, DOI 10.1016/j.mib.2018.06.002
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
Steichen JL, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00186
Stoddard SF, 2015, NUCLEIC ACIDS RES, V43, pD593, DOI 10.1093/nar/gku1201
TAMURA K, 1993, MOL BIOL EVOL, V10, P512, DOI 10.1093/oxfordjournals.molbev.a040023
Wang Z, 2021, ISME J, V15, P19, DOI 10.1038/s41396-020-00748-2
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Westergaard K, 2001, SOIL BIOL BIOCHEM, V33, P2061, DOI 10.1016/S0038-0717(01)00134-1
Wetz MS, 2008, ESTUAR COAST, V31, P419, DOI 10.1007/s12237-008-9034-y
Yan G, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00248
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
Yung CM, 2016, APPL ENVIRON MICROB, V82, P3431, DOI 10.1128/AEM.00395-16
Yung CM, 2015, ENVIRON MICROBIOL, V17, P2421, DOI 10.1111/1462-2920.12714
Zhou JZ, 2014, P NATL ACAD SCI USA, V111, pE836, DOI 10.1073/pnas.1324044111
NR 51
TC 3
Z9 5
PD SEP
PY 2022
VL 24
IS 9
BP 4167
EP 4177
DI 10.1111/1462-2920.16086
EA JUN 2022
UT WOS:000812435800001
DA 2025-07-30
ER
PT J
AU Ruiz-González, C
Lefort, T
Galí, M
Sala, MM
Sommaruga, R
Simó, R
Gasol, JM
AF Ruiz-Gonzalez, Clara
Lefort, Thomas
Gali, Marti
Sala, Maria Montserrat
Sommaruga, Ruben
Simo, Rafel
Gasol, Josep M.
TI Seasonal patterns in the sunlight sensitivity of bacterioplankton from
Mediterranean surface coastal waters
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB The sensitivity of coastal marine bacterioplankton to natural photosynthetically active radiation (PAR, 400700 nm) and ultraviolet radiation (UVR, 280400 nm) was evaluated in five experiments over a seasonal cycle in the Blanes Bay, NW Mediterranean Sea. Exposure to natural solar radiation generally inhibited bulk bacterial activities or damaged membrane integrity when irradiances were high (i.e. spring and summer experiments) and, in general, UVB (280320 nm) accounted for most of the inhibition. When assessing activity (3H-leucine uptake) at the single-cell level by microautoradiography and rRNA gene probing, seasonally varying responses and sensitivities were found among bacterial groups. While autumn and winter irradiances seemed too low to cause changes in activity, variable effects were found in spring and summer. SAR11 was consistently inhibited by UVR and PAR exposure, whereas Gammaproteobacteria and Bacteroidetes showed higher resistance. Roseobacter, Synechococcus and the NOR5 clade were occasionally photostimulated in their activity, mainly because of PAR. Our results indicate that a component of seasonality exists in the bacterial responses to solar radiation, which vary not only depending on the irradiance and the spectral characteristics, but also on the previous light history and the taxonomic composition of the community.
C1 [Ruiz-Gonzalez, Clara; Lefort, Thomas; Gali, Marti; Sala, Maria Montserrat; Simo, Rafel; Gasol, Josep M.] Inst Ciencies Mar CSIC, Pg Maritim Barceloneta 37-49, Barcelona 08003, Catalunya, Spain.
[Sommaruga, Ruben] Univ Innsbruck, Lab Aquat Photobiol & Plankton Ecol, Inst Ecol, A-6020 Innsbruck, Austria.
RP Ruiz-González, C (corresponding author), Inst Ciencies Mar CSIC, Pg Maritim Barceloneta 37-49, Barcelona 08003, Catalunya, Spain.
EM clararg@icm.csic.es
CR Aas P, 1996, AQUAT MICROB ECOL, V11, P229, DOI 10.3354/ame011229
Agogué H, 2005, APPL ENVIRON MICROB, V71, P5282, DOI 10.1128/AEM.71.9.5282-5289.2005
Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso-Sáez L, 2008, ECOSYSTEMS, V11, P397, DOI 10.1007/s10021-008-9129-0
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Arrieta JM, 2000, APPL ENVIRON MICROB, V66, P1468, DOI 10.1128/AEM.66.4.1468-1473.2000
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
BAILEY CA, 1983, APPL ENVIRON MICROB, V46, P44, DOI 10.1128/AEM.46.1.44-49.1983
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
CEMBELLA AD, 1984, CRC CR REV MICROBIOL, V11, P13, DOI 10.3109/10408418409105902
CHROST RJ, 1991, BROCK SPR S, P29
CHROST RJ, 1992, HYDROBIOLOGIA, V243, P61, DOI 10.1007/BF00007020
Cotner JB, 2002, ECOSYSTEMS, V5, P105, DOI 10.1007/s10021-001-0059-3
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Falcioni T, 2008, APPL ENVIRON MICROB, V74, P1767, DOI 10.1128/AEM.01668-07
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
GARCIAPICHEL F, 1994, LIMNOL OCEANOGR, V39, P1704, DOI 10.4319/lo.1994.39.7.1704
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Gasol JM, 2007, AQUAT MICROB ECOL, V46, P71, DOI 10.3354/ame046071
Grégori G, 2001, APPL ENVIRON MICROB, V67, P4662, DOI 10.1128/AEM.67.10.4662-4670.2001
Hernández KL, 2007, J EXP MAR BIOL ECOL, V343, P82, DOI 10.1016/j.jembe.2006.11.008
HERNDL GJ, 1993, NATURE, V361, P717, DOI 10.1038/361717a0
Herndl GJ, 1997, PLANT ECOL, V128, P42
HOPPE HG, 1983, MAR ECOL PROG SER, V11, P299, DOI 10.3354/meps011299
Jeffrey WH, 1996, MAR ECOL PROG SER, V137, P283, DOI 10.3354/meps137283
Joux F, 1999, APPL ENVIRON MICROB, V65, P3820
Joux F, 2009, PHOTOCHEM PHOTOBIOL, V85, P783, DOI 10.1111/j.1751-1097.2008.00474.x
Kaiser E, 1997, APPL ENVIRON MICROB, V63, P4026, DOI 10.1128/AEM.63.10.4026-4031.1997
Kataoka T, 2009, J PHOTOCH PHOTOBIO B, V95, P108, DOI 10.1016/j.jphotobiol.2009.02.004
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Llabrés M, 2006, LIMNOL OCEANOGR, V51, P21, DOI 10.4319/lo.2006.51.1.0021
Llabrés M, 2010, MAR ECOL PROG SER, V399, P27, DOI 10.3354/meps08332
Madronich Sasha, 1993, P1
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MYKLESTAD S, 1983, J PLANKTON RES, V5, P557, DOI 10.1093/plankt/5.4.557
Pakulski JD, 2007, AQUAT MICROB ECOL, V47, P153, DOI 10.3354/ame047153
Pausz C, 1999, AQUAT MICROB ECOL, V18, P85, DOI 10.3354/ame018085
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Ruiz-González C, 2012, ISME J, V6, P650, DOI 10.1038/ismej.2011.118
Sala MM, 2010, POLAR BIOL, V33, P1683, DOI 10.1007/s00300-010-0808-x
Santos AL, 2011, AQUAT SCI, V73, P63, DOI 10.1007/s00027-010-0160-9
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
SHIBA T, 1991, SYST APPL MICROBIOL, V14, P140, DOI 10.1016/S0723-2020(11)80292-4
Sieracki ME, 1999, APPL ENVIRON MICROB, V65, P2409
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sommaruga R, 2005, APPL ENVIRON MICROB, V71, P2154, DOI 10.1128/AEM.71.4.2154-2157.2005
Sommaruga R, 1997, APPL ENVIRON MICROB, V63, P4178, DOI 10.1128/AEM.63.11.4178-4184.1997
Straza TRA, 2011, AQUAT MICROB ECOL, V62, P267, DOI 10.3354/ame01469
THOMSON BE, 1980, OECOLOGIA, V47, P56, DOI 10.1007/BF00541776
Vallina SM, 2007, SCIENCE, V315, P506, DOI 10.1126/science.1133680
Vaughan P, 2010, LIMNOL OCEANOGR-METH, V8, P562, DOI 10.4319/lom.2010.8.562
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
Winter C, 2001, APPL ENVIRON MICROB, V67, P665, DOI 10.1128/AEM.67.2.665-672.2001
Xenopoulos MA, 2003, FRESHWATER BIOL, V48, P108, DOI 10.1046/j.1365-2427.2003.00975.x
YENTSCH CS, 1963, DEEP-SEA RES, V10, P221, DOI 10.1016/0011-7471(63)90358-9
Zenoff VF, 2006, APPL ENVIRON MICROB, V72, P7857, DOI 10.1128/AEM.01333-06
NR 67
TC 39
Z9 40
PD MAR
PY 2012
VL 79
IS 3
BP 661
EP 674
DI 10.1111/j.1574-6941.2011.01247.x
UT WOS:000299257300009
DA 2025-07-30
ER
PT J
AU Lambert, S
Tragin, M
Lozano, JC
Ghiglione, JF
Vaulot, D
Bouget, FY
Galand, PE
AF Lambert, Stefan
Tragin, Margot
Lozano, Jean-Claude
Ghiglione, Jean-Francois
Vaulot, Daniel
Bouget, Francois-Yves
Galand, Pierre E.
TI Rhythmicity of coastal marine picoeukaryotes, bacteria and archaea
despite irregular environmental perturbations
SO ISME JOURNAL
DT Article
AB Seasonality in marine microorganisms has been classically observed in phytoplankton blooms, and more recently studied at the community level in prokaryotes, but rarely investigated at the scale of individual microbial taxa. Here we test if specific marine eukaryotic phytoplankton, bacterial and archaeal taxa display yearly rhythms at a coastal site impacted by irregular environmental perturbations. Our seven-year study in the Bay of Banyuls (North Western Mediterranean Sea) shows that despite some fluctuating environmental conditions, many microbial taxa displayed significant yearly rhythms. The robust rhythmicity was found in both autotrophs (picoeukaryotes and cyanobacteria) and heterotrophic prokaryotes. Sporadic meteorological events and irregular nutrient supplies did, however, trigger the appearance of less common non-rhythmic taxa. Among the environmental parameters that were measured, the main drivers of rhythmicity were temperature and day length. Seasonal autotrophs may thus be setting the pace for rhythmic heterotrophs. Similar environmental niches may be driving seasonality as well. The observed strong association between Micromonas and SAR11, which both need thiamine precursors for growth, could be a first indication that shared nutritional niches may explain some rhythmic patterns of co-occurrence.
C1 [Lambert, Stefan; Lozano, Jean-Claude; Ghiglione, Jean-Francois; Bouget, Francois-Yves] Sorbonne Univ, CNRS, Lab Oceanog Microbienne LOMIC, Observ Oceanol Banyuls, Paris, France.
[Tragin, Margot; Vaulot, Daniel] Sorbonne Univ, CNRS, Stn Biol Roscoff, UMR7144, Paris, France.
[Galand, Pierre E.] Sorbonne Univ, CNRS, Lab Ecogeochim Environm Benth LECOB, Observ Oceanol Banyuls, Paris, France.
RP Bouget, FY (corresponding author), Sorbonne Univ, CNRS, Lab Oceanog Microbienne LOMIC, Observ Oceanol Banyuls, Paris, France.; Galand, PE (corresponding author), Sorbonne Univ, CNRS, Lab Ecogeochim Environm Benth LECOB, Observ Oceanol Banyuls, Paris, France.
EM francois-yves.bouget@obs-banyuls.fr; pierre.galand@obs-banyuls.fr
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
[Anonymous], 2015, BEHAV NEUROSCIENCE M
Behrenfeld MJ, 2010, ECOLOGY, V91, P977, DOI 10.1890/09-1207.1
Brannock PM, 2016, MOL ECOL, V25, P3593, DOI 10.1111/mec.13709
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Charles F, 2005, ESTUAR COAST SHELF S, V65, P199, DOI 10.1016/j.ecss.2005.06.006
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Cohen SE, 2015, MICROBIOL MOL BIOL R, V79, P373, DOI 10.1128/MMBR.00036-15
Corellou F, 2009, PLANT CELL, V21, P3436, DOI 10.1105/tpc.109.068825
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
EDMUNDS LN, 1981, SCIENCE, V211, P1002, DOI 10.1126/science.7008196
EILERTSEN HC, 1995, MAR ECOL PROG SER, V116, P303, DOI 10.3354/meps116303
Fowler S, 1999, EMBO J, V18, P4679, DOI 10.1093/emboj/18.17.4679
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Jacquet S, 2001, J PHYCOL, V37, P357, DOI 10.1046/j.1529-8817.2001.037003357.x
Kim DY, 2014, ISME J, V8, P515, DOI 10.1038/ismej.2013.173
Kolganova TV, 2002, GENES, V71, P4
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Le Cao K-A, 2008, SPARSE PLS VARIABLE
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Liu H, 2009, P NATL ACAD SCI USA, V106, P12803, DOI 10.1073/pnas.0905841106
LOMB NR, 1976, ASTROPHYS SPACE SCI, V39, P447, DOI 10.1007/BF00648343
MacDonald CC, 2003, CELL, V113, P671, DOI 10.1016/S0092-8674(03)00426-4
Mangot JF, 2013, ENVIRON MICROBIOL, V15, P1745, DOI 10.1111/1462-2920.12065
Marquardt M, 2016, APPL ENVIRON MICROB, V82, P1868, DOI 10.1128/AEM.03208-15
Massana R, 2011, ANNU REV MICROBIOL, V65, P91, DOI 10.1146/annurev-micro-090110-102903
Monnier A, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-192
Needham DM, 2018, ISME J, V12, P2417, DOI 10.1038/s41396-018-0169-y
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nelson JD, 2008, FEMS MICROBIOL ECOL, V65, P484, DOI 10.1111/j.1574-6941.2008.00553.x
Ovreas L, 1997, APPL ENVIRON MICROB, V63, P3367
Paerl RW, 2015, LIMNOL OCEANOGR, V60, P215, DOI 10.1002/lno.10009
Paerl RW, 2017, ISME J, V11, P753, DOI 10.1038/ismej.2016.145
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Ruf T, 1999, BIOL RHYTHM RES, V30, P178, DOI 10.1076/brhm.30.2.178.1422
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Sanchez-Puerta MV, 2007, PROTIST, V158, P105, DOI 10.1016/j.protis.2006.09.004
SCARGLE JD, 1982, ASTROPHYS J, V263, P835, DOI 10.1086/160554
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Sverdrup H.U., 1953, ICES Journal of Marine Science, V18, P287, DOI [DOI 10.1093/ICESJMS/18.3.287, 10.1093/icesjms/18.3.287]
Tonkin JD, 2017, ECOLOGY, V98, P1201, DOI 10.1002/ecy.1761
Treusch AH, 2012, ISME J, V6, P481, DOI 10.1038/ismej.2011.117
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Turner S, 1999, J EUKARYOT MICROBIOL, V46, P327, DOI 10.1111/j.1550-7408.1999.tb04612.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
Winder M, 2010, PHILOS T R SOC B, V365, P3215, DOI 10.1098/rstb.2010.0125
NR 61
TC 84
Z9 88
PD FEB
PY 2019
VL 13
IS 2
BP 388
EP 401
DI 10.1038/s41396-018-0281-z
UT WOS:000455747900012
DA 2025-07-30
ER
PT J
AU Hopkinson, BM
Roe, KL
Barbeau, KA
AF Hopkinson, Brian M.
Roe, Kelly L.
Barbeau, Katherine A.
TI Heme uptake by Microscilla marina and evidence for heme uptake
systems in the genomes of diverse marine bacteria
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The ability to acquire diverse and abundant forms of iron would be expected to confer a survival advantage in the marine environment, where iron is scarce. Marine bacteria are known to use siderophores and inorganic iron, but their ability to use heme, an abundant intracellular iron form, has only been examined preliminarily. Microscilla marina, a cultured relative of a bacterial group frequently found on marine particulates, was used as a model organism to examine heme uptake. Searches of the genome revealed analogs to known heme transport proteins, and reverse transcription-quantitative PCR analysis of these genes showed that they were expressed and upregulated under iron stress and during growth on heme. M. marina was found to take up heme-bound iron and could grow on heme as a sole iron source, supporting the genetic evidence for heme transport. Similar putative heme transport components were identified in the genomes of diverse marine bacteria. These systems were found in the genomes of many bacteria thought to be particle associated but were lacking in known free-living organisms (e.g., Pelagibacter ubique and marine cyanobacteria). This distribution of transporters is consistent with the hydrophobic, light-sensitive nature of heme, suggesting that it is primarily available on phytoplankton or detritus or in nutrient-rich environments.
C1 [Hopkinson, Brian M.; Roe, Kelly L.; Barbeau, Katherine A.] Univ Calif San Diego, Scripps Inst Oceanog, Geosci Res Div, La Jolla, CA 92093 USA.
RP Hopkinson, BM (corresponding author), Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA.
EM bhopkins@princeton.edu
CR Alavi M, 2001, ENVIRON MICROBIOL, V3, P380, DOI 10.1046/j.1462-2920.2001.00207.x
[Anonymous], HEME CHLOROPHYLL BIL
Barbeau K, 2001, NATURE, V413, P409, DOI 10.1038/35096545
Buchler J.W., 1975, Porphyrins and Metalloporphyrins, V2nd, P157
Challis GL, 2005, CHEMBIOCHEM, V6, P601, DOI 10.1002/cbic.200400283
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
Coale KH, 1996, NATURE, V383, P495, DOI 10.1038/383495a0
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Desroche N, 2005, J MICROBIOL METH, V60, P325, DOI 10.1016/j.mimet.2004.10.010
EATON JW, 1982, SCIENCE, V215, P691, DOI 10.1126/science.7036344
Eddy SR, 1998, BIOINFORMATICS, V14, P755, DOI 10.1093/bioinformatics/14.9.755
Escolar L, 1999, J BACTERIOL, V181, P6223, DOI 10.1128/JB.181.20.6223-6229.1999
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Genco CA, 2001, MOL MICROBIOL, V39, P1, DOI 10.1046/j.1365-2958.2001.02231.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gledhill M, 2007, MAR CHEM, V103, P393, DOI 10.1016/j.marchem.2006.10.008
Granger J, 1999, LIMNOL OCEANOGR, V44, P541, DOI 10.4319/lo.1999.44.3.0541
Heidelberg JF, 2002, APPL ENVIRON MICROB, V68, P5498, DOI 10.1128/AEM.68.11.5498-5507.2002
HENDERSON DP, 1993, MOL MICROBIOL, V7, P461, DOI 10.1111/j.1365-2958.1993.tb01137.x
HERSMAN L, 1995, GEOCHIM COSMOCHIM AC, V59, P3327, DOI 10.1016/0016-7037(95)00221-K
HUDSON RJM, 1989, LIMNOL OCEANOGR, V34, P1113, DOI 10.4319/lo.1989.34.6.1113
Hutchins DA, 1999, NATURE, V400, P858, DOI 10.1038/23680
Janson S, 1999, FEMS MICROBIOL ECOL, V30, P57
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Kirby AE, 2001, INFECT IMMUN, V69, P6951, DOI 10.1128/IAI.69.11.6951-6961.2001
Koebnik R, 2005, TRENDS MICROBIOL, V13, P343, DOI 10.1016/j.tim.2005.06.005
Köster W, 2001, RES MICROBIOL, V152, P291, DOI 10.1016/S0923-2508(01)01200-1
Lewis JP, 2006, MICROBIOL-SGM, V152, P3367, DOI 10.1099/mic.0.29011-0
Litwin CM, 1998, INFECT IMMUN, V66, P3134, DOI 10.1128/IAI.66.7.3134-3141.1998
Lynch D, 2001, J BACTERIOL, V183, P2576, DOI 10.1128/JB.183.8.2576-2585.2001
Macrellis HM, 2001, MAR CHEM, V76, P175, DOI 10.1016/S0304-4203(01)00061-5
MARTIN JH, 1990, NATURE, V345, P156, DOI 10.1038/345156a0
Martinez JS, 2000, SCIENCE, V287, P1245, DOI 10.1126/science.287.5456.1245
Measures CI, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003042
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Mouriño S, 2004, J BACTERIOL, V186, P6159, DOI [10.1128/JB.186.18.6159-6167.2004, 10.1128/jb.186.18.6159-6167.2004]
NEILANDS JB, 1995, J BIOL CHEM, V270, P26723, DOI 10.1074/jbc.270.45.26723
Nienaber A, 2001, MOL MICROBIOL, V41, P787, DOI 10.1046/j.1365-2958.2001.02555.x
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
RUE EL, 1995, MAR CHEM, V50, P117, DOI 10.1016/0304-4203(95)00031-L
Schneider S, 2006, J BIOL CHEM, V281, P32606, DOI 10.1074/jbc.M607516200
Simpson W, 2000, J BACTERIOL, V182, P5737, DOI 10.1128/JB.182.20.5737-5748.2000
STOJILJKOVIC I, 1992, EMBO J, V11, P4359, DOI 10.1002/j.1460-2075.1992.tb05535.x
Strzepek RF, 2004, NATURE, V431, P689, DOI 10.1038/nature02954
Suits MDL, 2005, P NATL ACAD SCI USA, V102, P16955, DOI 10.1073/pnas.0504289102
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Thompson JM, 1999, INFECT IMMUN, V67, P3879, DOI 10.1128/IAI.67.8.3879-3892.1999
Tortell PD, 1996, NATURE, V383, P330, DOI 10.1038/383330a0
Vong L, 2007, ANAL CHIM ACTA, V588, P237, DOI 10.1016/j.aca.2007.02.007
Weaver RS, 2003, AQUAT MICROB ECOL, V31, P227, DOI 10.3354/ame031227
White W.I., 1978, PORPHYRINS, V5, P303, DOI 10.1016/B978-0-12-220105-9.50014-X
NR 53
TC 44
Z9 54
PD OCT
PY 2008
VL 74
IS 20
BP 6263
EP 6270
DI 10.1128/AEM.00964-08
UT WOS:000259985300012
DA 2025-07-30
ER
PT J
AU Martinez-Hernandez, F
Fornas, O
Martinez-Garcia, M
AF Martinez-Hernandez, Francisco
Fornas, Oscar
Martinez-Garcia, Manuel
TI Into the Dark: Exploring the Deep Ocean with Single-Virus Genomics
SO VIRUSES-BASEL
DT Article
AB Single-virus genomics (SVGs) has been successfully applied to ocean surface samples allowing the discovery of widespread dominant viruses overlooked for years by metagenomics, such as the uncultured virus vSAG 37-F6 infecting the ubiquitous Pelagibacter spp. In SVGs, one uncultured virus at a time is sorted from the environmental sample, whole-genome amplified, and sequenced. Here, we have applied SVGs to deep-ocean samples (200-4000 m depth) from global Malaspina and MEDIMAX expeditions, demonstrating the feasibility of this method in deep-ocean samples. A total of 1328 virus-like particles were sorted from the North Atlantic Ocean, the deep Mediterranean Sea, and the Pacific Ocean oxygen minimum zone (OMZ). For this proof of concept, sixty single viruses were selected at random for sequencing. Genome annotation identified 27 of these genomes as bona fide viruses, and detected three auxiliary metabolic genes involved in nucleotide biosynthesis and sugar metabolism. Massive protein profile analysis confirmed that these viruses represented novel viral groups not present in databases. Although they were not previously assembled by viromics, global fragment recruitment analysis showed a conserved profile of relative abundance of these viruses in all analyzed samples spanning different oceans. Altogether, these results reveal the feasibility in using SVGs in this vast environment to unveil the genomes of relevant viruses.
C1 [Martinez-Hernandez, Francisco; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante 03690, Spain.
[Fornas, Oscar] Barcelona Inst Sci & Technol BIST, Ctr Genom Regulat CRG, PRBB Bldg, Barcelona 08003, Spain.
RP Martinez-Garcia, M (corresponding author), Univ Alicante, Dept Physiol Genet & Microbiol, Alicante 03690, Spain.
EM franmh@ua.es; oscar.fornas@upf.edu; m.martinez@ua.es
CR de Crcer DA, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-989
Allen LZ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017722
[Anonymous], MARINE DNA VIRAL MAC
[Anonymous], PREVALENCE TEMPERATE
[Anonymous], Trimmomatic: a flexible trimmer for Illumina sequence data - PubMed
[Anonymous], VIRSORTER2 MULTICLAS, DOI [10.1186/s40168-020-00990-y, DOI 10.1186/S40168-020-00990-Y]
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Danovaro R, 2015, AQUAT MICROB ECOL, V75, P81, DOI 10.3354/ame01747
Danovaro R, 2008, NATURE, V454, P1084, DOI 10.1038/nature07268
Davison M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160574
De Corte D, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01801
Peña MJD, 2018, VIRUSES-BASEL, V10, DOI 10.3390/v10030113
Enav H, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-9
Garcia-Heredia I, 2021, ENVIRON MICROBIOL, V23, P1584, DOI 10.1111/1462-2920.15375
Gazitúa MC, 2021, ISME J, V15, P981, DOI 10.1038/s41396-020-00825-6
He TL, 2017, MBIO, V8, DOI 10.1128/mBio.00893-17
Hurwitz BL, 2015, ISME J, V9, P472, DOI 10.1038/ismej.2014.143
JANNASCH HW, 1984, ANNU REV MICROBIOL, V38, P487, DOI 10.1146/annurev.mi.38.100184.002415
Lara E, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602565
Martínez JM, 2020, NAT REV MICROBIOL, V18, P705, DOI 10.1038/s41579-020-00444-0
Martinez-Hernandez F, 2022, ISME J, V16, P1025, DOI 10.1038/s41396-021-01150-2
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
McDaniel L.D., HIGH FREQUENCY HORIZ, DOI [10.1126/science.1192243?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed, DOI 10.1126/SCIENCE.1192243?URL_VER=Z39.88-2003&RFR_ID=ORI:RID:CROSSREF.ORG&RFR_DAT=CR_PUB%20%200PUBMED]
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Nayfach S, 2021, NAT MICROBIOL, V6, P960, DOI 10.1038/s41564-021-00928-6
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Rinke C, 2014, NAT PROTOC, V9, P1038, DOI 10.1038/nprot.2014.067
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Roux S, 2021, NUCLEIC ACIDS RES, V49, pD764, DOI 10.1093/nar/gkaa946
Roux S, 2019, NAT BIOTECHNOL, V37, P29, DOI 10.1038/nbt.4306
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Shaffer M, 2020, NUCLEIC ACIDS RES, V48, P8883, DOI 10.1093/nar/gkaa621
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Winter C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100600
Zeng QL, 2012, CURR BIOL, V22, P124, DOI 10.1016/j.cub.2011.11.055
Zhang R, 2020, COMMUN BIOL, V3, DOI 10.1038/s42003-020-0974-5
NR 37
TC 6
Z9 6
PD JUL
PY 2022
VL 14
IS 7
AR 1589
DI 10.3390/v14071589
UT WOS:000833826100001
DA 2025-07-30
ER
PT J
AU Sosa, OA
Repeta, DJ
DeLong, EF
Ashkezari, MD
Karl, DM
AF Sosa, Oscar A.
Repeta, Daniel J.
DeLong, Edward F.
Ashkezari, Mohammad D.
Karl, David M.
TI Phosphate-limited ocean regions select for bacterial populations
enriched in the carbon-phosphorus lyase pathway for phosphonate
degradation
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB In tropical and subtropical oceanic surface waters phosphate scarcity can limit microbial productivity. However, these environments also have bioavailable forms of phosphorus incorporated into dissolved organic matter (DOM) that microbes with the necessary transport and hydrolysis metabolic pathways can access to supplement their phosphorus requirements. In this study we evaluated how the environment shapes the abundance and taxonomic distribution of the bacterial carbon-phosphorus (C-P) lyase pathway, an enzyme complex evolved to extract phosphate from phosphonates. Phosphonates are organophosphorus compounds characterized by a highly stable C-P bond and are enriched in marine DOM. Similar to other known bacterial adaptions to low phosphate environments, C-P lyase was found to become more prevalent as phosphate concentrations decreased. C-P lyase was particularly enriched in the Mediterranean Sea and North Atlantic Ocean, two regions that feature sustained periods of phosphate depletion. In these regions, C-P lyase was prevalent in several lineages of Alphaproteobacteria (Pelagibacter, SAR116, Roseobacter and Rhodospirillales), Gammaproteobacteria, and Actinobacteria. The global scope of this analysis supports previous studies that infer phosphonate catabolism via C-P lyase is an important adaptive strategy implemented by bacteria to alleviate phosphate limitation and expands the known geographic extent and taxonomic affiliation of this metabolic pathway in the ocean.
C1 [Sosa, Oscar A.; DeLong, Edward F.; Karl, David M.] Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog, Res & Educ, Honolulu, HI 96822 USA.
[Repeta, Daniel J.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02540 USA.
[Ashkezari, Mohammad D.] Univ Washington, Sch Oceanog, Seattle, WA 98105 USA.
[Sosa, Oscar A.] Univ Puget Sound, Dept Biol, Tacoma, WA 98416 USA.
RP Sosa, OA (corresponding author), Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog, Res & Educ, Honolulu, HI 96822 USA.; Sosa, OA (corresponding author), Univ Puget Sound, Dept Biol, Tacoma, WA 98416 USA.
EM ososa@hawaii.edu
CR Ammerman J.W., 2003, EOS T AM GEOPHYS UN, V84, P165, DOI [10.1029/2003-o180001, DOI 10.1029/2003-O180001, DOI 10.1029/2003EO180001]
[Anonymous], 2018, HMISC HARRELL MISCEL
[Anonymous], 2018, R LANG ENV STAT COMP
Aumont O, 2015, GEOSCI MODEL DEV, V8, P2465, DOI 10.5194/gmd-8-2465-2015
Bjorkman KM, 2003, LIMNOL OCEANOGR, V48, P1049
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
CHEN CM, 1990, J BIOL CHEM, V265, P4461
Chin JP, 2018, ISME J, V12, P973, DOI 10.1038/s41396-017-0031-7
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
del Valle DA, 2014, AQUAT MICROB ECOL, V73, P93, DOI 10.3354/ame01714
Dyhrman ST, 2007, OCEANOGRAPHY, V20, P110, DOI 10.5670/oceanog.2007.54
Dyhrman ST, 2006, NATURE, V439, P68, DOI 10.1038/nature04203
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Garcia H.E., 2010, NUTR PHOSPHATE NITRA, V4, P398
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Guieu C, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL014454
Huang JL, 2005, J MOL EVOL, V61, P682, DOI 10.1007/s00239-004-0349-4
Huerta-Cepas J, 2016, NUCLEIC ACIDS RES, V44, pD286, DOI 10.1093/nar/gkv1248
Hütz A, 2011, APPL ENVIRON MICROB, V77, P4412, DOI 10.1128/AEM.00490-11
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kamat SS, 2013, NATURE, V497, P132, DOI 10.1038/nature12061
Karl DM, 2008, NAT GEOSCI, V1, P473, DOI 10.1038/ngeo234
Karl DM, 2001, DEEP-SEA RES PT II, V48, P1529, DOI 10.1016/S0967-0645(00)00152-1
Kathuria S, 2011, ENVIRON MICROBIOL, V13, P74, DOI 10.1111/j.1462-2920.2010.02310.x
Kiene R.P., 1991, MICROBIAL PRODUCTION, P111, DOI DOI 10.1016/0169-5347(93)90172-L
Kolowith LC, 2001, LIMNOL OCEANOGR, V46, P309, DOI 10.4319/lo.2001.46.2.0309
Kononova SV, 2002, BIOCHEMISTRY-MOSCOW+, V67, P184, DOI 10.1023/A:1014409929875
Krom MD, 2010, PROG OCEANOGR, V85, P236, DOI 10.1016/j.pocean.2010.03.003
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Le SQ, 2008, MOL BIOL EVOL, V25, P1307, DOI 10.1093/molbev/msn067
Lomas MW, 2010, BIOGEOSCIENCES, V7, P695, DOI 10.5194/bg-7-695-2010
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Luo HW, 2011, AQUAT MICROB ECOL, V62, P61, DOI 10.3354/ame01458
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Merchant SS, 2012, ADV MICROB PHYSIOL, V60, P91, DOI 10.1016/B978-0-12-398264-3.00002-4
METCALF WW, 1993, J BACTERIOL, V175, P3430, DOI 10.1128/jb.175.11.3430-3442.1993
Miller MA, 2010, Proceedings of the Gateway Computing Environments Workshop (GCE), P1, DOI [DOI 10.1109/GCE.2010.5676129, 10.1109/GCE.2010.5676129, 10.1787/9789264090279-en, DOI 10.1787/9789264090279-EN]
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Petersen J, 2013, APPL MICROBIOL BIOT, V97, P2805, DOI 10.1007/s00253-013-4746-8
Powley HR, 2017, GLOBAL BIOGEOCHEM CY, V31, P1010, DOI 10.1002/2017GB005648
Pradella S, 2010, ARCH MICROBIOL, V192, P115, DOI 10.1007/s00203-009-0535-2
Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
Quinn JP, 2007, ENVIRON MICROBIOL, V9, P2392, DOI 10.1111/j.1462-2920.2007.01397.x
Repeta DJ, 2016, NAT GEOSCI, V9, P884, DOI [10.1038/NGEO2837, 10.1038/ngeo2837]
Sebastián M, 2016, ISME J, V10, P968, DOI 10.1038/ismej.2015.172
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
Seweryn P, 2015, NATURE, V525, P68, DOI 10.1038/nature14683
Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
Singh A, 2013, DEEP-SEA RES PT II, V93, P148, DOI 10.1016/j.dsr2.2013.04.008
Sosa OA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01786
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sunagawa S, 2013, NAT METHODS, V10, P1196, DOI [10.1038/NMETH.2693, 10.1038/nmeth.2693]
THINGSTAD TF, 1995, MAR ECOL PROG SER, V117, P299, DOI 10.3354/meps117299
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Torres-Valdés S, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003389
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Villarreal-Chiu JF, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00019
WACKETT LP, 1987, J BACTERIOL, V169, P1753, DOI 10.1128/jb.169.4.1753-1756.1987
WANNER BL, 1987, J BACTERIOL, V169, P5569, DOI 10.1128/jb.169.12.5569-5574.1987
Wanner BL, 1997, CH MICROBIOL SER, P104
White AK, 2007, ANNU REV MICROBIOL, V61, P379, DOI 10.1146/annurev.micro.61.080706.093357
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Young CL, 2010, AQUAT GEOCHEM, V16, P563, DOI 10.1007/s10498-009-9087-y
Zaccone R, 2012, MICROB ECOL, V64, P54, DOI 10.1007/s00248-012-0011-4
NR 73
TC 86
Z9 99
PD JUL
PY 2019
VL 21
IS 7
BP 2402
EP 2414
DI 10.1111/1462-2920.14628
UT WOS:000474294900015
DA 2025-07-30
ER
PT J
AU Mena, C
Reglero, P
Balbín, R
Martín, M
Santiago, R
Sintes, E
AF Mena, Catalina
Reglero, Patricia
Balbin, Rosa
Martin, Melissa
Santiago, Rocio
Sintes, Eva
TI Seasonal Niche Partitioning of Surface Temperate Open Ocean Prokaryotic
Communities
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Surface microbial communities are exposed to seasonally changing environmental conditions, resulting in recurring patterns of community composition. However, knowledge on temporal dynamics of open ocean microbial communities remains scarce. Seasonal patterns and associations of taxa and oligotypes from surface and chlorophyll maximum layers in the western Mediterranean Sea were studied over a 2-year period. Summer stratification versus winter mixing governed not only the prokaryotic community composition and diversity but also the temporal dynamics and co-occurrence association networks of oligotypes. Flavobacteriales, Rhodobacterales, SAR11, SAR86, and Synechococcales oligotypes exhibited contrasting seasonal dynamics, and consequently, specific microbial assemblages and potential inter-oligotype connections characterized the different seasons. In addition, oligotypes composition and dynamics differed between surface and deep chlorophyll maximum (DCM) prokaryotic communities, indicating depth-related environmental gradients as a major factor affecting association networks between closely related taxa. Taken together, the seasonal and depth specialization of oligotypes suggest temporal dynamics of community composition and metabolism, influencing ecosystem function and global biogeochemical cycles. Moreover, our results indicate highly specific associations between microbes, pointing to keystone ecotypes and fine-tuning of the microbes realized niche.
C1 [Mena, Catalina; Reglero, Patricia; Balbin, Rosa; Martin, Melissa; Santiago, Rocio; Sintes, Eva] Inst Espanol Oceanog, Ctr Oceanog Balears, Ecosyst Oceanog Grp GRECO, Palma De Mallorca, Spain.
RP Mena, C (corresponding author), Inst Espanol Oceanog, Ctr Oceanog Balears, Ecosyst Oceanog Grp GRECO, Palma De Mallorca, Spain.
EM c.mena.oliver@gmail.com
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
[Anonymous], 2000, LIVING COLOR PROTOCO, DOI [10.1007/978-3-642-57049-0_34, DOI 10.1007/978-3-642-57049-0_34]
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Banning EC, 2010, FEMS MICROBIOL ECOL, V73, P254, DOI 10.1111/j.1574-6941.2010.00897.x
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Bryant JA, 2016, ISME J, V10, P1308, DOI 10.1038/ismej.2015.221
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Charles F, 2005, ESTUAR COAST SHELF S, V65, P199, DOI 10.1016/j.ecss.2005.06.006
Chen XW, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01763
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
Cui Y, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45512-5
D'Ortenzio F., 2012, UPPER MIXED LAYER
de Fommervault OP, 2015, DEEP-SEA RES PT I, V100, P1, DOI 10.1016/j.dsr.2015.02.006
de Wit R, 2006, ENVIRON MICROBIOL, V8, P755, DOI 10.1111/j.1462-2920.2006.01017.x
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Estrada M, 1996, SCI MAR, V60, P55
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
García FC, 2015, ENVIRON MICROBIOL, V17, P4133, DOI 10.1111/1462-2920.12984
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Hehemann JH, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12860
Hmelo LR, 2017, ANNU REV MAR SCI, V9, P257, DOI 10.1146/annurev-marine-010816-060656
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Johnson ZI, 2009, P NATL ACAD SCI USA, V106, P10400, DOI 10.1073/pnas.0905187106
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kocak M, 2010, BIOGEOSCIENCES, V7, P4037, DOI 10.5194/bg-7-4037-2010
Koeppel A, 2008, P NATL ACAD SCI USA, V105, P2504, DOI 10.1073/pnas.0712205105
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
Li Mole, 2015, 2015 IEEE International Model-Driven Requirements Engineering Workshop (MoDRE). Proceedings, P1, DOI 10.1109/MoDRE.2015.7343874
Liu J, 2019, M CONT JURISPRUD CHI, P1, DOI [10.1007/978-981-13-3756-7, 10.1007/s42995-019-00004-3, 10.1007/978-981-13-3756-7_1]
Long RA, 2001, APPL ENVIRON MICROB, V67, P4975, DOI 10.1128/AEM.67.11.4975-4983.2001
LORENZEN CJ, 1967, LIMNOL OCEANOGR, V12, P343, DOI 10.4319/lo.1967.12.2.0343
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Ma LY, 2018, ISME J, V12, P473, DOI 10.1038/ismej.2017.182
MAGAZZU G, 1995, AQUAT MICROB ECOL, V9, P97, DOI 10.3354/ame009097
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Martínez-Pérez C, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.163, 10.1038/nmicrobiol.2016.163]
Marty JC, 2002, DEEP-SEA RES PT II, V49, P2017, DOI 10.1016/S0967-0645(02)00025-5
Mella-Flores Daniella, 2012, Front Microbiol, V3, P285
Mena C, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01698
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
Nagata T., 2008, Microbial Ecology of the Oceans, V2nd, P207, DOI [DOI 10.1002/9780470281840.CH7, 10.1002/9780470281840.ch7]
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pasqual C, 2015, J MARINE SYST, V148, P142, DOI 10.1016/j.jmarsys.2015.02.006
Pearman JK, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-06928-z
Pedrós-Alió C, 1999, DEEP-SEA RES PT I, V46, P985, DOI 10.1016/S0967-0637(98)00106-X
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Peura S, 2015, APPL ENVIRON MICROB, V81, P2090, DOI 10.1128/AEM.03660-14
Philippot L, 2010, NAT REV MICROBIOL, V8, P523, DOI 10.1038/nrmicro2367
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Rousseaux CS, 2014, REMOTE SENS-BASEL, V6, P1, DOI 10.3390/rs6010001
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sintes E, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00077
Sintes E, 2013, FEMS MICROBIOL ECOL, V83, P413, DOI 10.1111/1574-6941.12003
Strickland J.D. H., 1968, A Practical Handbook of Seawater Analysis, V2nd
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tanhua T, 2013, OCEAN SCI, V9, P789, DOI 10.5194/os-9-789-2013
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2019, ENVIRON MICROBIOL, V21, P1482, DOI 10.1111/1462-2920.14581
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Uitz J, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004055
Vaqué D, 2014, J PLANKTON RES, V36, P198, DOI 10.1093/plankt/fbt085
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Zuur Alain F., 2009, P1
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 99
TC 15
Z9 16
PD JUL 28
PY 2020
VL 11
AR 1749
DI 10.3389/fmicb.2020.01749
UT WOS:000561210800001
DA 2025-07-30
ER
PT J
AU Lami, R
Ghiglione, JF
Desdevises, Y
West, NJ
Lebaron, P
AF Lami, Raphael
Ghiglione, Jean-Francois
Desdevises, Yves
West, Nyree J.
Lebaron, Philippe
TI Annual patterns of presence and activity of marine bacteria monitored by
16S rDNA-16S rRNA fingerprints in the coastal NW Mediterranean Sea
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB The annual dynamics of the bacterial community structure and its activity remain poorly studied in marine environments. Our goal was to gain new insights into the year-long bacterial dynamics and activity in correlation with environmental changes in the NW Mediterranean Sea. To accomplish this goal, we combined 16S rDNA versus 16S rRNA fingerprints and environmental variables using multivariate analyses. A clone library was constructed to determine to which bacterial taxa the major ribotypes were related. Our results revealed similar environmental controls of bacterial community structure at both the DNA and RNA levels. The 16S rRNA signal of several ribotypes differed relative to their 16S rDNA counterpart, suggesting that the members of the community have either a higher or lower activity than their relative abundance would suggest. Such differences included the dominant ribotypes observed in the fingerprints, such as Roseobacter, Synechococcus, SAR11 and SAR116, All these results give support to the 16S rDNA and 16S rRNA fingerprinting approach to monitor bacterial community structure and activity in marine environments.
C1 [Lami, Raphael; Ghiglione, Jean-Francois; Desdevises, Yves; West, Nyree J.; Lebaron, Philippe] Univ Paris 06, Lab Arago, F-66650 Banyuls Sur Mer, France.
[Lami, Raphael; Ghiglione, Jean-Francois; West, Nyree J.; Lebaron, Philippe] CNRS, UMR 7621, Lab Oceanog Biol Banyuls, F-66650 Banyuls Sur Mer, France.
[Desdevises, Yves] CNRS, UMR 7628, F-66650 Banyuls Sur Mer, France.
RP Lami, R (corresponding author), Univ Delaware, Coll Marine & Earth Studies, Lewes, DE 19958 USA.
EM lami@udel.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Agawin NSR, 1998, MAR ECOL PROG SER, V170, P45, DOI 10.3354/meps170045
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Baker GC, 2003, J MICROBIOL METH, V55, P541, DOI 10.1016/j.mimet.2003.08.009
BORCARD D, 1992, ECOLOGY, V73, P1045, DOI 10.2307/1940179
BROSIUS J, 1981, J MOL BIOL, V148, P107, DOI 10.1016/0022-2836(81)90508-8
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
CHAO A, 1987, BIOMETRICS, V43, P783, DOI 10.2307/2531532
Cole JR, 2005, NUCLEIC ACIDS RES, V33, pD294, DOI 10.1093/nar/gki038
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
DAVIS BD, 1986, J BACTERIOL, V166, P439, DOI 10.1128/jb.166.2.439-445.1986
Delbès C, 1998, ANAEROBE, V4, P267, DOI 10.1006/anae.1998.0176
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
Fandino LB, 2005, AQUAT MICROB ECOL, V40, P251, DOI 10.3354/ame040251
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Ferrera I, 2004, APPL MICROBIOL BIOT, V64, P726, DOI [10.1007/s00253-004-1582-x, 10.1007/s00253-004-1581-y]
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Joux F, 2006, AQUAT MICROB ECOL, V42, P91, DOI 10.3354/ame042091
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
KERKHOF L, 1993, APPL ENVIRON MICROB, V59, P1303, DOI 10.1128/AEM.59.5.1303-1309.1993
Klepac-Ceraj V., 2006, Online J. Bioinformatics, V7, P15
Lebaron P, 1998, APPL ENVIRON MICROB, V64, P1725
Lee DH, 1996, APPL ENVIRON MICROB, V62, P3112, DOI 10.1128/AEM.62.9.3112-3120.1996
LEE SH, 1994, LIMNOL OCEANOGR, V39, P869, DOI 10.4319/lo.1994.39.4.0869
Legendre P., 1988, Numerical Ecology
Lemée R, 2002, AQUAT MICROB ECOL, V29, P227, DOI 10.3354/ame029227
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
MOYER CL, 1989, APPL ENVIRON MICROB, V55, P2710, DOI 10.1128/AEM.55.10.2710-2716.1989
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Ramette A, 2007, FEMS MICROBIOL ECOL, V62, P142, DOI 10.1111/j.1574-6941.2007.00375.x
Reinthaler T, 2005, AQUAT MICROB ECOL, V39, P7, DOI 10.3354/ame039007
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
ter Braak C.J. F., 1987, CANOCO A FORTRAN PRO
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
Zumstein E, 2000, ENVIRON MICROBIOL, V2, P69, DOI 10.1046/j.1462-2920.2000.00072.x
NR 48
TC 33
Z9 34
PY 2009
VL 54
IS 2
BP 199
EP 210
DI 10.3354/ame01264
UT WOS:000265158200008
DA 2025-07-30
ER
PT J
AU Lee, JW
Nam, JH
Kim, YH
Lee, KH
Lee, DH
AF Lee, Jin-Woo
Nam, Ji-Hyun
Kim, Yang-Hoon
Lee, Kyu-Ho
Lee, Dong-Hun
TI Bacterial communities in the initial stage of marine biofilm formation
on artificial surfaces
SO JOURNAL OF MICROBIOLOGY
DT Article
AB Succession of bacterial communities during the first 36 h of biofilm formation in coastal water was investigated at 3 similar to 15 h intervals. Three kinds of surfaces (i.e., acryl, glass, and steel substratum) were submerged in situ at Sacheon harbor, Korea. Biofilms were harvested by scraping the surfaces, and the compositions of bacterial communities were analyzed by terminal restriction fragment length polymorphism (T-RFLP), and cloning and sequencing of 16S rRNA genes. While community structure based on T-RFLP analysis showed slight differences by substratum, dramatic changes were commonly observed for all substrata between 9 and 24 h. Identification of major populations by 16S rRNA gene sequences indicated that gamma-Proteobacteria (Pseudomonas, Acinetobacter, Alteromonas, and uncultured gamma-Proteobacteria) were predominant in the community during 0-9 h, while the ratio of alpha-Proteobacteria (Loktanella, Methylobacterium, Pelagibacter, and uncultured alpha-Proteobacteria) increased 2.6 similar to 4.8 folds during 24 similar to 36 h of the biofilm formation, emerging as the most predominant group. Previously, alpha-Proteobacteria were recognized as the pioneering organisms in marine biofilm formation. However, results of this study, which revealed the bacterial succession with finer temporal resolution, indicated some species of gamma-Proteobacteria were more important as the pioneering population. Measures to control pioneering activities of these species can be useful in prevention of marine biofilm formation.
C1 [Lee, Jin-Woo; Nam, Ji-Hyun; Kim, Yang-Hoon; Lee, Dong-Hun] Chungbuk Natl Univ, Dept Microbiol, Chungbuk 361763, South Korea.
[Lee, Kyu-Ho] Hankuk Univ Foreign Studies, Dept Environm Sci, Kyonggi Do 449791, South Korea.
RP Lee, DH (corresponding author), Chungbuk Natl Univ, Dept Microbiol, Chungbuk 361763, South Korea.
EM donghun@chungbuk.ac.kr
CR [Anonymous], MOL CLONING
Cerca N, 2005, RES MICROBIOL, V156, P506, DOI 10.1016/j.resmic.2005.01.007
Chambers LD, 2006, SURF COAT TECH, V201, P3642, DOI 10.1016/j.surfcoat.2006.08.129
Costerton JW, 1999, SCIENCE, V284, P1318, DOI 10.1126/science.284.5418.1318
Dang HY, 2008, APPL ENVIRON MICROB, V74, P52, DOI 10.1128/AEM.01400-07
Dang HY, 2002, APPL ENVIRON MICROB, V68, P496, DOI 10.1128/AEM.68.2.496-504.2002
Dang HY, 2000, APPL ENVIRON MICROB, V66, P467, DOI 10.1128/AEM.66.2.467-475.2000
FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
Felsenstein J., 2005, PHYLIP (Phylogeny Inference Package) version 3.6. Distributed by the author
Jefferson KK, 2004, FEMS MICROBIOL LETT, V236, P163, DOI 10.1016/j.femsle.2004.06.005
Jones PR, 2007, MICROB ECOL, V53, P153, DOI 10.1007/s00248-006-9154-5
JUKES T H, 1969, P21
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Lee HS, 1999, J MICROBIOL, V37, P263
Lee YK, 2003, J MICROBIOL, V41, P183
Lyautey E, 2005, MICROB ECOL, V50, P589, DOI 10.1007/s00248-005-5032-9
Martiny AC, 2003, APPL ENVIRON MICROB, V69, P6899, DOI 10.1128/AEM.69.11.6899-6907.2003
McLean RJC, 2005, APPL ENVIRON MICROB, V71, P8987, DOI 10.1128/AEM.71.12.8987-8990.2005
Miller DN, 1999, APPL ENVIRON MICROB, V65, P4715
ROCHELLE PA, 1992, FEMS MICROBIOL LETT, V100, P59, DOI 10.1111/j.1574-6968.1992.tb05682.x
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Siboni N, 2007, FEMS MICROBIOL LETT, V274, P24, DOI 10.1111/j.1574-6968.2007.00809.x
Stoodley P, 2002, ANNU REV MICROBIOL, V56, P187, DOI 10.1146/annurev.micro.56.012302.160705
Takeuchi I, 2004, MAR ENVIRON RES, V57, P397, DOI 10.1016/j.marenvres.2003.11.005
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Webster NS, 2006, ENVIRON MICROBIOL, V8, P1177, DOI 10.1111/j.1462-2920.2006.01007.x
NR 26
TC 192
Z9 229
PD APR
PY 2008
VL 46
IS 2
BP 174
EP 182
DI 10.1007/s12275-008-0032-3
UT WOS:000255438700008
DA 2025-07-30
ER
PT J
AU López-García, P
López-López, A
Moreira, D
Rodríguez-Valera, F
AF López-García, P
López-López, A
Moreira, D
Rodríguez-Valera, F
TI Diversity of free-living prokaryotes from a deep-sea site at the
Antarctic Polar Front
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB To contribute to the understanding or deep-sea planktonic communities, we explored the prokaryotic diversity. of a 3000 m deep site at the Antarctic Polar Front using molecular methods. Bacterial 16S rDNA-amplified sequences corresponded to the as yet uncultivated groups SAR11, within the alpha -Proteobacteria, and SAR324. within the delta -Proteobacteria, as well as to the gamma -Proteobacteria, Cytophagales. Planctomyces, Gram-positives, and the group of environmental sequences SAR406. Among them, gamma -proteobacterial sequences were the most abundant and diverse. Within Archaea, and using six different primer sets for 16S rDNA amplification, only euryarchaeotal sequences were retrieved. Most of them clustered with the Thermoplasma-related marine groups II and III, but some corresponded to a recently described group of marine sequences emerging at the base of haloarchaea. Our data suggest that gamma -Proteobacteria and Euryarchaeota may be dominant elements in terms of genetic diversity of the two prokaryotic domains in this deep-sea pelagic area. (C) 2001 Federation of European Microbiological Societies. Published by Elsevier Science B.V. All rights reserved.
C1 Univ Miguel Hermandez, Div Microbiol, San Juan Alicante 03550, Spain.
Univ Paris 06, Marine Biol Lab, F-75005 Paris, France.
Univ Paris 06, Bioinformat Genome, Equipe Phylogenie, F-75005 Paris, France.
RP Rodríguez-Valera, F (corresponding author), Univ Miguel Hermandez, Div Microbiol, San Juan Alicante 03550, Spain.
CR Adachi J., 1996, COMP SCI MONOGR, V28, P1
Altschul SF, 1998, TRENDS BIOCHEM SCI, V23, P444, DOI 10.1016/S0968-0004(98)01298-5
DeLong EF, 1999, APPL ENVIRON MICROB, V65, P5554
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DeLong EF, 1997, APPL ENVIRON MICROB, V63, P2105, DOI 10.1128/AEM.63.5.2105-2108.1997
Eder W, 1999, ARCH MICROBIOL, V172, P213, DOI 10.1007/s002030050762
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
García-Martínez J, 1999, J MICROBIOL METH, V36, P55, DOI 10.1016/S0167-7012(99)00011-1
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gray JP, 1996, APPL ENVIRON MICROB, V62, P4049, DOI 10.1128/AEM.62.11.4049-4059.1996
Gurtler V, 1996, MICROBIOL-SGM, V142, P3, DOI 10.1099/13500872-142-1-3
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kato C, 1997, EXTREMOPHILES, V1, P117, DOI 10.1007/s007920050024
KISHINO H, 1990, J MOL EVOL, V31, P151, DOI 10.1007/BF02109483
López-García P, 2001, ENVIRON MICROBIOL, V3, P72, DOI 10.1046/j.1462-2920.2001.00162.x
Maidak BL, 1999, NUCLEIC ACIDS RES, V27, P171, DOI 10.1093/nar/27.1.171
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Nogi Y, 1999, EXTREMOPHILES, V3, P71, DOI 10.1007/s007920050101
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
PAUL JH, 1982, APPL ENVIRON MICROB, V43, P1393, DOI 10.1128/AEM.43.6.1393-1399.1982
PHILLIPS SEV, 1993, CURR OPIN STRUC BIOL, V3, P1, DOI 10.1016/0959-440X(93)90193-O
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
STAHL DA, 1984, SCIENCE, V224, P409, DOI 10.1126/science.224.4647.409
Takaishi K, 1999, ANAL SCI, V15, P1285, DOI 10.2116/analsci.15.1285
Takami H, 1997, FEMS MICROBIOL LETT, V152, P279, DOI 10.1016/S0378-1097(97)00211-5
TAMURA K, 1993, MOL BIOL EVOL, V10, P512, DOI 10.1093/oxfordjournals.molbev.a040023
Vetriani C, 1999, APPL ENVIRON MICROB, V65, P4375
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
NR 35
TC 113
Z9 126
PD JUL
PY 2001
VL 36
IS 2-3
BP 193
EP 202
DI 10.1016/S0168-6496(01)00133-7
UT WOS:000170051100013
DA 2025-07-30
ER
PT J
AU Sun, FL
Wang, YS
Wu, ML
Sun, CC
Jiang, ZY
Cheng, H
Fei, J
AF Sun, Fu-Lin
Wang, You-Shao
Wu, Mei-Lin
Sun, Cui-Ci
Jiang, Zhao-Yu
Cheng, Hao
Fei, Jiao
TI Bacterial community variations in the South China Sea driven by
different chemical conditions
SO ECOTOXICOLOGY
DT Article
AB In this study, Illumina MiSeq sequencing of the 16 S rRNA gene was used to describe the bacterial communities in the South China Sea (SCS) during the southwest monsoon period. We targeted different regions in the SCS and showed that bacterial community was driven by the effects of the river, upwelling, and mesoscale eddy through changing the environmental factors (salinity, temperature, and nutrients). Distinct bacterial communities were observed among different chemical conditions, especially between the estuary and the open sea. The abundance of Burkholderiales, Frankiales, Flavobacteriales, and Rhodobacterales dominated the estuary and its adjacent waters. Bacteria in cyclonic eddy were dominated by Methylophilales and Pseudomonadales, whereas Prochlorococcus, SAR11 clade, and Oceanospirillales had relatively high abundance in the anticyclonic eddy. Overall, the abundance of specific phylotypes significantly varied among samples with different chemical conditions. Chemical conditions probably act as a driver that shapes and controls the diversity of bacteria in the SCS. This study suggests that the interaction between microbial and environmental conditions needs to be further considered to fully understand the diversity and function of marine microbes.
C1 [Sun, Fu-Lin; Wang, You-Shao; Wu, Mei-Lin; Sun, Cui-Ci; Jiang, Zhao-Yu; Cheng, Hao; Fei, Jiao] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China.
[Sun, Fu-Lin; Wang, You-Shao; Sun, Cui-Ci] Chinese Acad Sci, South China Sea Inst Oceanol, Daya Bay Marine Biol Res Stn, Shenzhen 518121, Peoples R China.
[Sun, Fu-Lin; Wang, You-Shao; Wu, Mei-Lin; Sun, Cui-Ci; Jiang, Zhao-Yu; Cheng, Hao; Fei, Jiao] Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China.
[Sun, Fu-Lin; Wang, You-Shao; Wu, Mei-Lin; Sun, Cui-Ci; Jiang, Zhao-Yu; Cheng, Hao; Fei, Jiao] Chinese Acad Sci, Innovat Acad South China Sea Ecol & Environm Engn, Guangzhou 510301, Peoples R China.
RP Wang, YS (corresponding author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China.; Wang, YS (corresponding author), Chinese Acad Sci, South China Sea Inst Oceanol, Daya Bay Marine Biol Res Stn, Shenzhen 518121, Peoples R China.; Wang, YS (corresponding author), Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China.; Wang, YS (corresponding author), Chinese Acad Sci, Innovat Acad South China Sea Ecol & Environm Engn, Guangzhou 510301, Peoples R China.
EM yswang@scsio.ac.cn
CR Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Baltar F, 2010, ISME J, V4, P975, DOI 10.1038/ismej.2010.33
Benitez-Nelson CR, 2007, SCIENCE, V316, P1017, DOI 10.1126/science.1136221
Blanchot J, 2001, DEEP-SEA RES PT I, V48, P297, DOI 10.1016/S0967-0637(00)00063-7
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Hamilton AK, 2008, LIMNOL OCEANOGR, V53, P922, DOI 10.4319/lo.2008.53.3.0922
HELLERMAN S, 1983, J PHYS OCEANOGR, V13, P1093, DOI 10.1175/1520-0485(1983)013<1093:NMWSOT>2.0.CO;2
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hill PG, 2010, FEMS MICROBIOL LETT, V306, P82, DOI 10.1111/j.1574-6968.2010.01940.x
Kalyuzhnaya MG, 2006, INT J SYST EVOL MICR, V56, P2819, DOI 10.1099/ijs.0.64191-0
Lenk S, 2012, ISME J, V6, P2178, DOI 10.1038/ismej.2012.66
Nan F, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006790
Nemergut DR, 2011, ENVIRON MICROBIOL, V13, P135, DOI 10.1111/j.1462-2920.2010.02315.x
Peterson TD, 2011, MAR ECOL PROG SER, V424, P53, DOI 10.3354/meps08943
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Radwan SS, 2002, INT BIODETER BIODEGR, V50, P55, DOI 10.1016/S0964-8305(02)00067-7
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sun FL, 2015, ECOTOXICOLOGY, V24, P1478, DOI 10.1007/s10646-015-1472-2
Sun FL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111892
Sun FL, 2011, BIOLOGIA, V66, P574, DOI 10.2478/s11756-011-0066-6
Sun FL, 2020, ESTUAR COAST SHELF S, V237, DOI 10.1016/j.ecss.2020.106698
Xie SP, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2003JC001867
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhang Y, 2011, RES MICROBIOL, V162, P320, DOI 10.1016/j.resmic.2010.12.006
Zhang Y, 2009, AQUAT MICROB ECOL, V56, P65, DOI 10.3354/ame01324
NR 37
TC 6
Z9 6
PD NOV
PY 2021
VL 30
IS 9
BP 1808
EP 1815
DI 10.1007/s10646-021-02455-w
EA JUL 2021
UT WOS:000674083500001
DA 2025-07-30
ER
PT J
AU Atamna-Ismaeel, N
Sabehi, G
Sharon, I
Witzel, KP
Labrenz, M
Jürgens, K
Barkay, T
Stomp, M
Huisman, J
Beja, O
AF Atamna-Ismaeel, Nof
Sabehi, Gazalah
Sharon, Itai
Witzel, Karl-Paul
Labrenz, Matthias
Juergens, Klaus
Barkay, Tamar
Stomp, Maayke
Huisman, Jef
Beja, Oded
TI Widespread distribution of proteorhodopsins in freshwater and brackish
ecosystems
SO ISME JOURNAL
DT Article
AB Proteorhodopsins (PRs) are light-driven proton pumps that have been found in a variety of marine environments. The goal of this study was to search for PR presence in different freshwater and brackish environments and to explore the diversity of non-marine PR protein. Here, we show that PRs exist in distinctly different aquatic environments, ranging from clear water lakes to peat lakes and in the Baltic Sea. Some of the PRs observed in this study formed unique clades that were not previously observed in marine environments, whereas others were similar to PRs found in non-marine samples of the Global Ocean Sampling (GOS) expedition. Furthermore, the similarity of several PRs isolated from lakes in different parts of the world suggests that these genes are dispersed globally and that they may encode unique functional capabilities enabling successful competition in a wide range of freshwater environments. Phylogenomic analysis of genes found on these GOS scaffolds suggests that some of the freshwater PRs are found in freshwater Flavobacteria and freshwater SAR11-like bacteria.
C1 [Atamna-Ismaeel, Nof; Sabehi, Gazalah; Sharon, Itai; Beja, Oded] Technion Israel Inst Technol, Fac Biol, IL-32000 Haifa, Israel.
[Sharon, Itai] Technion Israel Inst Technol, Dept Comp Sci, IL-32000 Haifa, Israel.
[Witzel, Karl-Paul] Max Planck Inst Limnol, D-2320 Plon, Germany.
[Labrenz, Matthias; Juergens, Klaus] Leibniz Inst Balt Sea Res, Dept Biol Oceanog, Rostock, Germany.
[Barkay, Tamar] Rutgers State Univ, Dept Biochem & Microbiol, New Brunswick, NJ 08903 USA.
[Stomp, Maayke; Huisman, Jef] Univ Amsterdam, Inst Biodivers & Ecosyst Dynam, Amsterdam, Netherlands.
RP Beja, O (corresponding author), Technion Israel Inst Technol, Fac Biol, IL-32000 Haifa, Israel.
EM beja@tx.technion.ac.il
CR Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Haverkamp T, 2008, ENVIRON MICROBIOL, V10, P174, DOI 10.1111/j.1462-2920.2007.01442.x
Kirk J. T. O., 1983, Light and Photosynthesis in Aquatic Ecosystems
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Sharma AK, 2008, ENVIRON MICROBIOL, V10, P1039, DOI 10.1111/j.1462-2920.2007.01525.x
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Stomp M, 2007, ISME J, V1, P271, DOI 10.1038/ismej.2007.59
Stomp M, 2007, ECOL LETT, V10, P290, DOI 10.1111/j.1461-0248.2007.01026.x
Swofford D. L., 2003, PAUP PHYLOGENETIC AN
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
Zwart G, 2003, APPL ENVIRON MICROB, V69, P5875, DOI 10.1128/AEM.69.10.5875-5883.2003
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 31
TC 89
Z9 102
PD JUN
PY 2008
VL 2
IS 6
BP 656
EP 662
DI 10.1038/ismej.2008.27
UT WOS:000256753700008
DA 2025-07-30
ER
PT J
AU Reintjes, G
Arnosti, C
Fuchs, B
Amann, R
AF Reintjes, Greta
Arnosti, Carol
Fuchs, B.
Amann, Rudolf
TI Selfish, sharing and scavenging bacteria in the Atlantic Ocean: a
biogeographical study of bacterial substrate utilisation
SO ISME JOURNAL
DT Article
AB Identifying the roles played by individual heterotrophic bacteria in the degradation of high molecular weight (HMW) substrates is critical to understanding the constraints on carbon cycling in the ocean. At five sites in the Atlantic Ocean, we investigated the processing of organic matter by tracking changes in microbial community composition as HMW polysaccharides were enzymatically hydrolysed over time. During this investigation, we discovered that a considerable fraction of heterotrophic bacteria uses a newly-identified 'selfish' mode of substrate processing. We therefore additionally examined the balance of individual substrate utilisation mechanisms at different locations by linking individual microorganisms to distinct substrate utilisation mechanisms. Through FISH and uptake of fluorescently-labelled polysaccharides, 'selfish' organisms were identified as belonging to the Bacteroidetes, Planctomycetes and Gammaproteobacteria. 'Sharing' (extracellular enzyme producing) and 'scavenging' (non-enzyme producing) organisms predominantly belonged to the Alteromonadaceae and SAR11 clades, respectively. The extent to which individual mechanisms prevail depended on the initial population structure of the bacterial community at a given location and time, as well as the growth rate of specific bacteria. Furthermore, the same substrate was processed in different ways by different members of a pelagic microbial community, pointing to significant follow-on effects for carbon cycling.
C1 [Reintjes, Greta; Fuchs, B.; Amann, Rudolf] Max Planck Inst Marine Microbiol, Dept Mol Ecol, Bremen, Germany.
[Arnosti, Carol] Univ N Carolina, Dept Marine Sci, Chapel Hill, NC 27515 USA.
RP Amann, R (corresponding author), Max Planck Inst Marine Microbiol, Dept Mol Ecol, Bremen, Germany.; Arnosti, C (corresponding author), Univ N Carolina, Dept Marine Sci, Chapel Hill, NC 27515 USA.
EM arnosti@email.unc.edu; ramann@mpi-bremen.de
CR Alderkamp AC, 2007, FEMS MICROBIOL ECOL, V59, P108, DOI 10.1111/j.1574-6941.2006.00219.x
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Allison SD, 2005, ECOL LETT, V8, P626, DOI 10.1111/j.1461-0248.2005.00756.x
Alonso C, 2012, SYST APPL MICROBIOL, V35, P541, DOI 10.1016/j.syapm.2012.08.004
Arnosti C, 2003, J CHROMATOGR B, V793, P181, DOI 10.1016/S1570-0232(03)00375-1
Arnosti C., 2014, Adv Oceanogr, V2014, P1, DOI [10.1155/2014/706082, DOI 10.1155/2014/706082]
Arnosti C, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00425
Arnosti C, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028900
Arnosti C, 2011, ANNU REV MAR SCI, V3, P401, DOI 10.1146/annurev-marine-120709-142731
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Becker S, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.03389-16
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Berlemont R, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1005300
Biersmith A, 1998, MAR CHEM, V63, P131, DOI 10.1016/S0304-4203(98)00057-7
Boedeker C, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14853
Bondoso J, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw255
Bryson S, 2017, ISME J, V11, P2781, DOI 10.1038/ismej.2017.128
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bullock A, 2015, MAR CHEM, V177, P388, DOI 10.1016/j.marchem.2015.06.023
Cuskin F, 2015, NATURE, V517, P165, DOI 10.1038/nature13995
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Diepenbroek M, 2014, LECT NOTES INFORM LN, V232
Dunny GM, 2008, BIOESSAYS, V30, P296, DOI 10.1002/bies.20740
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Foley MH, 2016, CELL MOL LIFE SCI, V73, P2603, DOI 10.1007/s00018-016-2242-x
Friedline CJ, 2012, BIOGEOSCIENCES, V9, P2177, DOI 10.5194/bg-9-2177-2012
Fuerst JA, 2011, NAT REV MICROBIOL, V9, P403, DOI 10.1038/nrmicro2578
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Grondin JM, 2017, J BACTERIOL, V199, DOI 10.1128/JB.00860-16
Hoarfrost A, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00200
Juggins S., 2017, RIOJA ANAL QUATERNAR
Kabisch A, 2014, ISME J, V8, P1492, DOI 10.1038/ismej.2014.4
Klindworth Anna, 2013, Nucleic Acids Res, V41, pe1, DOI 10.1093/nar/gks808
Lage OM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00267
Li DQ, 2015, ANTON LEEUW INT J G, V108, P427, DOI 10.1007/s10482-015-0495-2
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Lindsay RJ, 2018, ISME J, V12, P849, DOI 10.1038/s41396-017-0016-6
Logue JB, 2016, ISME J, V10, P533, DOI 10.1038/ismej.2015.131
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Morana C, 2014, LIMNOL OCEANOGR, V59, P1364, DOI 10.4319/lo.2014.59.4.1364
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Neumann AM, 2015, ENVIRON MICROBIOL, V17, P3857, DOI 10.1111/1462-2920.12862
Oksanen J., 2010, Vegan: Community ecology package
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Prosser JI, 2010, ENVIRON MICROBIOL, V12, P1806, DOI 10.1111/j.1462-2920.2010.02201.x
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rakoff-Nahoum S, 2016, NATURE, V533, P255, DOI 10.1038/nature17626
Rakoff-Nahoum S, 2014, CURR BIOL, V24, P40, DOI 10.1016/j.cub.2013.10.077
Reintjes G, 2017, ISME J, V11, P1640, DOI 10.1038/ismej.2017.26
Repeta DJ, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P21, DOI 10.1016/B978-0-12-405940-5.00002-9
Sarmento H, 2016, ISME J, V10, P2582, DOI 10.1038/ismej.2016.66
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shan D, 2014, GENOME ANNOUNC, V2
Silvester N, 2018, NUCLEIC ACIDS RES, V46, pD36, DOI 10.1093/nar/gkx1125
Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tang JKH, 2012, J R SOC INTERFACE, V9, P2767, DOI 10.1098/rsif.2012.0396
Taylor JD, 2017, ENV MICROBIOL REP, V9, P151, DOI 10.1111/1758-2229.12513
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thomas F, 2012, ENVIRON MICROBIOL, V14, P2379, DOI 10.1111/j.1462-2920.2012.02751.x
Traving SJ, 2015, APPL ENVIRON MICROB, V81, P7385, DOI 10.1128/AEM.02070-15
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Usov AI, 2011, ADV CARBOHYD CHEM BI, V65, P115, DOI 10.1016/B978-0-12-385520-6.00004-2
Vetter YA, 1998, MICROBIAL ECOL, V36, P75, DOI 10.1007/s002489900095
Wang Y, 2014, J OCEAN U CHINA, V13, P153, DOI 10.1007/s11802-014-2011-0
Wegner CE, 2013, MAR GENOM, V9, P51, DOI 10.1016/j.margen.2012.12.001
Wei T, 2017, R package "corrplot": visualization of a Correlation Matrix (Version 0.84)
WEISS MS, 1991, SCIENCE, V254, P1627, DOI 10.1126/science.1721242
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yan SL, 2011, INT J SYST EVOL MICR, V61, P2866, DOI 10.1099/ijs.0.027565-0
Yilmaz P, 2011, NAT BIOTECHNOL, V29, P415, DOI 10.1038/nbt.1823
Zimmerman AE, 2013, ISME J, V7, P1187, DOI 10.1038/ismej.2012.176
NR 83
TC 107
Z9 114
PD MAY
PY 2019
VL 13
IS 5
BP 1119
EP 1132
DI 10.1038/s41396-018-0326-3
UT WOS:000464960400001
DA 2025-07-30
ER
PT J
AU Savio, D
Sinclair, L
Ijaz, UZ
Parajka, J
Reischer, GH
Stadler, P
Blaschke, AP
Blöschl, G
Mach, RL
Kirschner, AKT
Farnleitner, AH
Eiler, A
AF Savio, Domenico
Sinclair, Lucas
Ijaz, Umer Z.
Parajka, Juraj
Reischer, Georg H.
Stadler, Philipp
Blaschke, Alfred P.
Bloeschl, Guenter
Mach, Robert L.
Kirschner, Alexander K. T.
Farnleitner, Andreas H.
Eiler, Alexander
TI Bacterial diversity along a 2600 km river continuum
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The bacterioplankton diversity in large rivers has thus far been under-sampled despite the importance of streams and rivers as components of continental landscapes. Here, we present a comprehensive dataset detailing the bacterioplankton diversity along the midstream of the Danube River and its tributaries. Using 16S rRNA-gene amplicon sequencing, our analysis revealed that bacterial richness and evenness gradually declined downriver in both the free-living and particle-associated bacterial communities. These shifts were also supported by beta diversity analysis, where the effects of tributaries were negligible in regards to the overall variation. In addition, the river was largely dominated by bacteria that are commonly observed in freshwaters. Dominated by the acI lineage, the freshwater SAR11 (LD12) and the Polynucleobacter group, typical freshwater taxa increased in proportion downriver and were accompanied by a decrease in soil and groundwater-affiliated bacteria. Based on views of the meta-community and River Continuum Concept, we interpret the observed taxonomic patterns and accompanying changes in alpha and beta diversity with the intention of laying the foundation for a unified concept for river bacterioplankton diversity.
C1 [Sinclair, Lucas; Eiler, Alexander] Uppsala Univ, Dept Ecol & Genet, Limnol Sci Life Lab, Uppsala, Sweden.
[Savio, Domenico; Parajka, Juraj; Stadler, Philipp; Blaschke, Alfred P.; Bloeschl, Guenter; Farnleitner, Andreas H.] Vienna Univ Technol, CWRS, A-1040 Vienna, Austria.
[Savio, Domenico; Reischer, Georg H.; Mach, Robert L.; Farnleitner, Andreas H.] Vienna Univ Technol, Inst Chem Engn, Res Grp Environm Microbiol & Mol Ecol, A-1040 Vienna, Austria.
[Parajka, Juraj; Blaschke, Alfred P.; Bloeschl, Guenter] Vienna Univ Technol, Inst Hydraul Engn & Water Resource Management, A-1040 Vienna, Austria.
[Stadler, Philipp] Vienna Univ Technol, Inst Water Qual Resource & Waste Management, A-1040 Vienna, Austria.
[Ijaz, Umer Z.] Univ Glasgow, Sch Engn, Glasgow, Lanark, Scotland.
[Reischer, Georg H.; Kirschner, Alexander K. T.; Farnleitner, Andreas H.] Interuniv Cooperat Ctr Water & Hlth, London, England.
[Kirschner, Alexander K. T.] Med Univ Vienna, Inst Hyg & Appl Immunol Water Hyg, Vienna, Austria.
RP Eiler, A (corresponding author), Uppsala Univ, Dept Ecol & Genet, Limnol Sci Life Lab, Uppsala, Sweden.
EM alexander.eiler@ebc.uu.se
CR Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Aufdenkampe AK, 2011, FRONT ECOL ENVIRON, V9, P53, DOI 10.1890/100014
Battin TJ, 2009, NAT GEOSCI, V2, P598, DOI 10.1038/ngeo618
Beaulieu JJ, 2011, P NATL ACAD SCI USA, V108, P214, DOI 10.1073/pnas.1011464108
Benstead JP, 2012, NAT GEOSCI, V5, P678, DOI 10.1038/ngeo1593
Berry D, 2011, APPL ENVIRON MICROB, V77, P7846, DOI 10.1128/AEM.05220-11
Besemer K, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1760
Besemer K, 2012, ISME J, V6, P1459, DOI 10.1038/ismej.2011.205
Bizic-Ionescu M, 2015, ENVIRON MICROBIOL, V17, P3500, DOI 10.1111/1462-2920.12466
Buttigieg PL, 2013, J BIOMED SEMANT, V4, DOI 10.1186/2041-1480-4-43
Cole JJ, 2007, ECOSYSTEMS, V10, P171, DOI 10.1007/s10021-006-9013-8
Cotner JB, 2002, ECOSYSTEMS, V5, P105, DOI 10.1007/s10021-001-0059-3
Cottrell MT, 2005, ENVIRON MICROBIOL, V7, P1883, DOI 10.1111/j.1462-2920.2005.00762.x
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2007, ECOLOGY, V88, P1365, DOI 10.1890/06-0387
Crump BC, 2012, ISME J, V6, P1629, DOI 10.1038/ismej.2012.9
de Jager AL, 2010, HYDROLOG SCI J, V55, P661, DOI 10.1080/02626667.2010.490786
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Ensign SH, 2006, J GEOPHYS RES-BIOGEO, V111, DOI 10.1029/2005JG000114
Fekete B.M., 2010, GLOBAL BIOGEOCHEM CY, V24
Fierer N, 2008, P NATL ACAD SCI USA, V105, P17994, DOI 10.1073/pnas.0807920105
Findlay S, 2010, J N AM BENTHOL SOC, V29, P170, DOI 10.1899/09-023.1
Frank DN, 2007, P NATL ACAD SCI USA, V104, P13780, DOI 10.1073/pnas.0706625104
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Garcia SL, 2013, ISME J, V7, P137, DOI 10.1038/ismej.2012.86
Ghai R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023785
Griffiths RI, 2000, APPL ENVIRON MICROB, V66, P5488, DOI 10.1128/AEM.66.12.5488-5491.2000
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Janauer GA, 2010, ECOL ENG, V36, P1138, DOI 10.1016/j.ecoleng.2010.05.002
Kavka G G., 2002, Technical Report of the International Commission for the Protection of the Danbue River, P138
Kirschner AKT, 2009, WATER RES, V43, P3673, DOI 10.1016/j.watres.2009.05.034
Kolmakova OV, 2014, FEMS MICROBIOL ECOL, V89, P442, DOI 10.1111/1574-6941.12355
Kronvang Brian, 1999, Aquatic Ecology, V33, P29, DOI 10.1023/A:1009947907811
Lanzén A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0049334
Leibold MA, 2004, ECOL LETT, V7, P601, DOI 10.1111/j.1461-0248.2004.00608.x
Lemke MJ, 2009, MICROB ECOL, V57, P94, DOI 10.1007/s00248-008-9398-3
Lindström ES, 2012, ENV MICROBIOL REP, V4, P1, DOI 10.1111/j.1758-2229.2011.00257.x
Liska I., 2008, Joint Danube Survey 2
Liu ZH, 2012, FEMS MICROBIOL ECOL, V80, P30, DOI 10.1111/j.1574-6941.2011.01268.x
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Lundin D, 2012, ENV MICROBIOL REP, V4, P367, DOI 10.1111/j.1758-2229.2012.00345.x
Madsen EL, 2011, CURR OPIN BIOTECH, V22, P456, DOI 10.1016/j.copbio.2011.01.008
Masella AP, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-31
Mohit V, 2014, APPL ENVIRON MICROB, V80, P2071, DOI 10.1128/AEM.02916-13
Mueller-Spitz SR, 2009, FEMS MICROBIOL ECOL, V67, P511, DOI 10.1111/j.1574-6941.2008.00639.x
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oksanen J., 2010, Vegan: Community ecology package
Peura S, 2012, ISME J, V6, P1640, DOI 10.1038/ismej.2012.21
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Raymond PA, 2013, NATURE, V503, P355, DOI 10.1038/nature12760
Read DS, 2015, ISME J, V9, P516, DOI 10.1038/ismej.2014.166
Richey JE, 2002, NATURE, V416, P617, DOI 10.1038/416617a
Rodriguez-Iturbe I., 2009, WATER RESOUR RES, V45, DOI DOI 10.1029/2008WR007124
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Sinclair L, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116955
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sommerwerk N, 2010, MAR FRESHWATER RES, V61, P736, DOI 10.1071/MF09229
Staley C, 2013, J APPL MICROBIOL, V115, P1147, DOI 10.1111/jam.12323
Székely AJ, 2013, ISME J, V7, P61, DOI 10.1038/ismej.2012.80
VANNOTE RL, 1980, CAN J FISH AQUAT SCI, V37, P130, DOI 10.1139/f80-017
Velimirov B, 2011, MICROB ECOL, V61, P955, DOI 10.1007/s00248-010-9768-5
von der Ohe PC, 2011, SCI TOTAL ENVIRON, V409, P2064, DOI 10.1016/j.scitotenv.2011.01.054
Winter C, 2007, APPL ENVIRON MICROB, V73, P421, DOI 10.1128/AEM.01849-06
Withers PJA, 2008, SCI TOTAL ENVIRON, V400, P379, DOI 10.1016/j.scitotenv.2008.08.002
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 67
TC 259
Z9 288
PD DEC
PY 2015
VL 17
IS 12
BP 4994
EP 5007
DI 10.1111/1462-2920.12886
UT WOS:000368457800015
DA 2025-07-30
ER
PT J
AU Mary, I
Cummings, DG
Biegala, IC
Burkill, PH
Archer, SD
Zubkov, MV
AF Mary, I
Cummings, DG
Biegala, IC
Burkill, PH
Archer, SD
Zubkov, MV
TI Seasonal dynamics of bacterioplankton community structure at a coastal
station in the western English Channel
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB An annual study of the bacterioplankton community structure was carried out at Stn L4 (50 degrees 15'N, 04 degrees 13'W) in the western English Channel between August 2003 and July 2004. Bacterioplankton abundance and community structure were assessed using flow cytometry and fluorescence in situ hybridization (FISH) with rRNA-targeted oligonucleotide probes, respectively. The Eubacteria domain dominated over the Archaea domain (< 15 %) at the highest phylogenetic level. The Sphingo-bacteria-Flavobacteria group of the Bacteroidetes phylum (SFB) numerically dominated in spring and early summer. The alpha-Proteobacteria dominated from late summer to winter. The SAR11 clade represented similar to 13% of the microbial community throughout the year and accounted for up to 69% of a-Proteobacteria in late spring. Annually, gamma-Proteobacteria were 2 or 3 times less abundant than the other groups and showed no obvious seasonal trend. The SAR86 cluster accounted for up to half of gamma-Proteobacteria when it peaked in summer. Consequently, we found that community structure at higher taxonomic level did not change dramatically with season but lower level phylogenetic groups showed pronounced seasonal peaks.
C1 Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
PlymouthMarine Lab, Plymouth PL1 DH, Devon, England.
Ctr Oceanol Marseille, Inst Rech Dev, F-13007 Marseille, France.
RP Mary, I (corresponding author), Natl Oceanog Ctr, Waterfront Campus,European Way, Southampton SO14 3ZH, Hants, England.
EM imary@noc.soton.ac.uk
CR Alfreider A, 1996, APPL ENVIRON MICROB, V62, P2138, DOI 10.1128/AEM.62.6.2138-2144.1996
Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
Amann R, 1997, FEMS MICROBIOL REV, V20, P191, DOI 10.1111/j.1574-6976.1997.tb00308.x
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Arrieta JM, 2002, LIMNOL OCEANOGR, V47, P594, DOI 10.4319/lo.2002.47.2.0594
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Bernardet JF, 1996, INT J SYST BACTERIOL, V46, P128, DOI 10.1099/00207713-46-1-128
Biegala IC, 2002, J PHYCOL, V38, P404, DOI 10.1046/j.1529-8817.2002.01045.x
BUNTE C, 1999, LIMNOL OCEANOGR, V65, P3843
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Crump BC, 2003, APPL ENVIRON MICROB, V69, P2253, DOI 10.1128/AEM.69.4.2253-2268.2003
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DUCKLOW H, 2000, MICROBIAL ECOLOGY SE, V4, P85
DUCKLOW HW, 1992, ADV MICROB ECOL, V12, P113
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
EPSTEIN SS, 1992, MICROBIAL ECOL, V23, P211, DOI 10.1007/BF00164097
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Hahn MW, 2001, FEMS MICROBIOL ECOL, V35, P113, DOI 10.1111/j.1574-6941.2001.tb00794.x
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
Höfle MG, 1999, APPL ENVIRON MICROB, V65, P3164
Kelly KM, 2001, FEMS MICROBIOL ECOL, V35, P85, DOI 10.1016/S0168-6496(00)00115-X
Lebaron P, 1999, AQUAT MICROB ECOL, V19, P255, DOI 10.3354/ame019255
Lebaron P, 2001, FEMS MICROBIOL ECOL, V34, P255, DOI 10.1016/S0168-6496(00)00103-3
Lindström ES, 2000, MICROBIAL ECOL, V40, P104
Lindström ES, 1998, FEMS MICROBIOL ECOL, V27, P163, DOI 10.1016/S0168-6496(98)00065-8
Liu J, 2002, HYDROBIOLOGIA, V489, P151, DOI 10.1023/A:1023228703738
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Manz W, 1999, METHOD ENZYMOL, V310, P79
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P661, DOI 10.1128/AEM.68.2.661-667.2002
Pernthaler J, 2004, APPL ENVIRON MICROB, V70, P6272, DOI 10.1128/AEM.70.10.6272-6281.2004
Pernthaler J, 1997, APPL ENVIRON MICROB, V63, P4778, DOI 10.1128/AEM.63.12.4778-4783.1997
Pernthaler J, 1998, APPL ENVIRON MICROB, V64, P4299
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reichenbach H., 1992, The prokaryotes, P3631
Riemann L, 2001, MICROB ECOL, V42, P274, DOI 10.1007/s00248-001-0018-8
Rosenstock B, 2001, LIMNOL OCEANOGR, V46, P644, DOI 10.4319/lo.2001.46.3.0644
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Simek K, 1999, LIMNOL OCEANOGR, V44, P1634
Simon M, 1998, ARCH HYDROBIOL, V143, P385
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
van Hannen EJ, 1999, APPL ENVIRON MICROB, V65, P795
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
WAGNER M, 1994, J MICROSC-OXFORD, V176, P181, DOI 10.1111/j.1365-2818.1994.tb03513.x
Wagner-Döbler I, 2003, INT J SYST EVOL MICR, V53, P731, DOI 10.1099/ijs.0.02377-0
Yager PL, 2001, LIMNOL OCEANOGR, V46, P790, DOI 10.4319/lo.2001.46.4.0790
Zaccone R, 2002, MAR ENVIRON RES, V54, P1, DOI 10.1016/S0141-1136(02)00089-2
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
Zwisler W, 2003, AQUAT MICROB ECOL, V31, P211, DOI 10.3354/ame031211
NR 66
TC 48
Z9 50
PD FEB 28
PY 2006
VL 42
IS 2
BP 119
EP 126
DI 10.3354/ame042119
UT WOS:000237261900002
DA 2025-07-30
ER
PT J
AU Noell, SE
Brennan, E
Washburn, Q
Davis, EW
Hellweger, FL
Giovannoni, SJ
AF Noell, Stephen E.
Brennan, Elizabeth
Washburn, Quinn
Davis, Edward W., II
Hellweger, Ferdi L.
Giovannoni, Stephen J.
TI Differences in the regulatory strategies of marine oligotrophs and
copiotrophs reflect differences in motility
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Aquatic bacteria frequently are divided into lifestyle categories oligotroph or copiotroph. Oligotrophs have proportionately fewer transcriptional regulatory genes than copiotrophs and are generally non-motile/chemotactic. We hypothesized that the absence of chemotaxis/motility in oligotrophs prevents them from occupying nutrient patches long enough to benefit from transcriptional regulation. We first confirmed that marine oligotrophs are generally reduced in genes for transcriptional regulation and motility/chemotaxis. Next, using a non-motile oligotroph (Ca. Pelagibacter st. HTCC7211), a motile copiotroph (Alteromonas macleodii st. HOT1A3), and [C-14](L)-ala-nine, we confirmed that (L)-alanine catabolism is not transcriptionally regulated in HTCC7211 but is in HOT1A3. We then found that HOT1A3 took 2.5-4 min to initiate (L)-alanine oxidation at patch (L)-alanine concentrations, compared to < 30 s for HTCC7211. By modelling cell trajectories, we predicted that, in most scenarios, non-motile cells spend < 2 min in patches, compared to > 4 min for chemotactic/motile cells. Thus, the time necessary for transcriptional regulation to initiate prevents transcriptional regulation from being beneficial for non-motile oligotrophs. This is supported by a mechanistic model we developed, which predicted that HTCC7211 cells with transcriptional regulation of (L)-alanine metabolism would produce 12% of their standing ATP stock upon encountering an (L)-alanine patch, com-pared to 880% in HTCC7211 cells without transcriptional regulation.
C1 [Noell, Stephen E.; Brennan, Elizabeth; Washburn, Quinn; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Davis, Edward W., II] Oregon State Univ, Ctr Quantitat Life Sci, Corvallis, OR USA.
[Hellweger, Ferdi L.] Water Qual Engn, Berlin, Germany.
[Noell, Stephen E.] Univ Waikato, Sch Sci, Hamilton, New Zealand.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Al-Bassam MM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06993-6
Alneberg J, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0550-0
Andersen KH, 2016, ANNU REV MAR SCI, V8, P217, DOI 10.1146/annurev-marine-122414-034144
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
BERBERICH R, 1968, J BIOL CHEM, V243, P1006
Blackburn N, 1998, SCIENCE, V282, P2254, DOI 10.1126/science.282.5397.2254
Bondoc KGV, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10540
Brumley DR, 2019, P NATL ACAD SCI USA, V116, P10792, DOI 10.1073/pnas.1816621116
Button D.K., 2004, MICROBIAL DIVERSITY, P160
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chiriac MC, 2023, ENVIRON MICROBIOL, V25, P606, DOI 10.1111/1462-2920.16313
Chuckran PF, 2021, FEMS MICROBES, V2, DOI 10.1093/femsmc/xtab020
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
DeLong JP, 2010, P NATL ACAD SCI USA, V107, P12941, DOI 10.1073/pnas.1007783107
Dusenbery DB, 1997, P NATL ACAD SCI USA, V94, P10949, DOI 10.1073/pnas.94.20.10949
Fadeev E, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00248
FREESE E, 1963, BIOCHEMISTRY-US, V2, P1212, DOI 10.1021/bi00906a006
Galperin MY, 2021, NUCLEIC ACIDS RES, V49, pD274, DOI 10.1093/nar/gkaa1018
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2019, MBIO, V10, DOI 10.1128/mBio.00246-19
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gomez-Rubio V., 2017, J STAT SOFTW, V77, P1, DOI [DOI 10.18637/JSS.V035.B01, DOI 10.18637/JSS.V077.B02, 10.18637/jss.v077.b02]
Graham ED, 2021, ISME J, V15, P1248, DOI 10.1038/s41396-020-00834-5
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Held NA, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00317-18
Hellweger FL, 2009, ECOL MODEL, V220, P8, DOI 10.1016/j.ecolmodel.2008.09.004
HULBURT EM, 1970, ECOLOGY, V51, P475, DOI 10.2307/1935382
Inoue Y, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02177-z
Ivars-Martinez E, 2008, ISME J, V2, P1194, DOI 10.1038/ismej.2008.74
JACKSON GA, 1987, LIMNOL OCEANOGR, V32, P1253, DOI 10.4319/lo.1987.32.6.1253
Jeong JA, 2015, J BACTERIOL, V197, P3142, DOI 10.1128/JB.00453-15
Kempes CP, 2016, ISME J, V10, P2145, DOI 10.1038/ismej.2016.21
Kempes CP, 2012, P NATL ACAD SCI USA, V109, P495, DOI 10.1073/pnas.1115585109
KEPES A, 1963, BIOCHIM BIOPHYS ACTA, V76, P293
Koch A L, 1971, Adv Microb Physiol, V6, P147, DOI 10.1016/S0065-2911(08)60069-7
Kostadinov TS, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2009JC005303
Lambert BS, 2019, LIMNOL OCEANOGR LETT, V4, P113, DOI 10.1002/lol2.10113
Lambrecht SJ, 2020, FEMS MICROBIOL REV, V44, P232, DOI 10.1093/femsre/fuaa005
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
LEE C, 1977, LIMNOL OCEANOGR, V22, P502, DOI 10.4319/lo.1977.22.3.0502
Liang WX, 2011, MOL CELL, V44, P160, DOI 10.1016/j.molcel.2011.06.037
Liu RY, 2007, J BACTERIOL, V189, P7098, DOI 10.1128/JB.00643-07
Lu SN, 2020, NUCLEIC ACIDS RES, V48, pD265, DOI 10.1093/nar/gkz991
Lu XX, 2014, MAR CHEM, V163, P36, DOI 10.1016/j.marchem.2014.04.004
Luchsinger RH, 1999, BIOPHYS J, V77, P2377, DOI 10.1016/S0006-3495(99)77075-X
Macek B, 2019, NAT REV MICROBIOL, V17, P651, DOI 10.1038/s41579-019-0243-0
Maier T, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.38
MCCOWEN SM, 1974, J BACTERIOL, V118, P590, DOI 10.1128/JB.118.2.590-597.1974
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
MITCHELL JG, 1991, MICROBIAL ECOL, V22, P227, DOI 10.1007/BF02540225
MITCHELL JG, 1995, APPL ENVIRON MICROB, V61, P877, DOI 10.1128/AEM.61.3.877-882.1995
Mo R, 2022, PLOS GENET, V18, DOI 10.1371/journal.pgen.1010316
MOPPER K, 1982, LIMNOL OCEANOGR, V27, P336, DOI 10.4319/lo.1982.27.2.0336
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
PARDEE AB, 1961, BIOCHIM BIOPHYS ACTA, V49, P77, DOI 10.1016/0006-3002(61)90871-X
Pilskaln CH, 2005, DEEP-SEA RES PT I, V52, P2315, DOI 10.1016/j.dsr.2005.08.004
POCKLINGTON R, 1971, NATURE, V230, P374, DOI 10.1038/230374a0
POINDEXTER JS, 1981, ADV MICROB ECOL, V5, P63
R Core Team-R: A language and environment for statistical computing, R FDN STAT COMP
Rossmann FM, 2018, ACTA CRYSTALLOGR D, V74, P585, DOI 10.1107/S2059798318007945
SANWAL BD, 1970, BACTERIOL REV, V34, P20, DOI 10.1128/MMBR.34.1.20-39.1970
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schulz HN, 2001, ANNU REV MICROBIOL, V55, P105, DOI 10.1146/annurev.micro.55.1.105
Schuster M, 2011, METHODS MOL BIOL, V692, P173, DOI 10.1007/978-1-60761-971-0_13
Schwengers O, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000685
Seymour JR, 2009, AM NAT, V173, pE15, DOI 10.1086/593004
Siegel DA, 1998, LIMNOL OCEANOGR, V43, P1133, DOI 10.4319/lo.1998.43.6.1133
SIRANOSIAN KJ, 1993, J BACTERIOL, V175, P6789, DOI 10.1128/jb.175.21.6789-6796.1993
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Son K, 2016, P NATL ACAD SCI USA, V113, P8624, DOI 10.1073/pnas.1602307113
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Stocker R, 2008, P NATL ACAD SCI USA, V105, P4209, DOI 10.1073/pnas.0709765105
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Sule P, 2013, J BACTERIOL, V195, P637, DOI 10.1128/JB.01777-12
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Taylor JR, 2012, SCIENCE, V338, P675, DOI 10.1126/science.1219417
Taylor RC, 2013, INTEGR BIOL-UK, V5, P1393, DOI 10.1039/c3ib40120k
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Vandesompele J, 2002, GENOME BIOL, V3, DOI 10.1186/gb-2002-3-7-research0034
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
Westoby M, 2021, ECOL EVOL, V11, P3956, DOI 10.1002/ece3.7290
Yawata Y, 2020, P NATL ACAD SCI USA, V117, P25571, DOI 10.1073/pnas.2012443117
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
NR 94
TC 8
Z9 8
PD JUL
PY 2023
VL 25
IS 7
BP 1265
EP 1280
DI 10.1111/1462-2920.16357
EA MAR 2023
UT WOS:000943248900001
DA 2025-07-30
ER
PT J
AU Bakenhus, I
Dlugosch, L
Giebel, HA
Beardsley, C
Simon, M
Wietz, M
AF Bakenhus, Insa
Dlugosch, Leon
Giebel, Helge-Ansgar
Beardsley, Christine
Simon, Meinhard
Wietz, Matthias
TI Distinct biogeographic patterns of bacterioplankton composition and
single-cell activity between the subtropics and Antarctica
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Bacterial biogeography and activity in the Southern Ocean are poorly understood to date. Here, we applied CARD-FISH to quantify bacterial community structure from the subtropics to Antarctica between 10 degrees W and 10 degrees E, covering four biogeographic provinces with distinct environmental properties. In addition, incorporation of radiolabeled glucose, amino acids and leucine via MAR-FISH served to quantify the contribution to substrate turnover by selected bacterial groups. SAR11, Bacteroidetes, Gammaproteobacteria and the Roseobacter group accounted for the majority of the bacterial community (52%-88% of DAPI-stained cells) but showed little distributional variation between provinces. In contrast, taxonomic subclades Polaribacter, NS5, NS2b (Bacteroidetes) as well as RCA (Roseobacter group) featured marked geographic variation, illustrated by NMDS and coefficients of variation. Roseobacter (specifically RCA) and Gammaproteobacteria constituted considerable fractions of cells incorporating glucose and amino acids respectively. Bacteroidetes had generally lower activities, but Polaribacter accounted for a major fraction of biomass production at one station near the Antarctic ice shelf. In conclusion, distributional patterns at finer taxonomic level and highest substrate turnover by less abundant taxa highlight the importance of taxonomic subclades in marine carbon fluxes, contributing to the understanding of functional bacterial biogeography in the Southern Ocean.
C1 [Bakenhus, Insa; Dlugosch, Leon; Giebel, Helge-Ansgar; Beardsley, Christine; Simon, Meinhard; Wietz, Matthias] Inst Chem & Biol Marine Environm, Oldenburg, Germany.
[Beardsley, Christine] Carl von Ossietzky Univ Oldenburg, European Med Sch, D-26129 Oldenburg, Germany.
RP Wietz, M (corresponding author), Inst Chem & Biol Marine Environm, Oldenburg, Germany.
EM matthias.wietz@uni-oldenburg.de
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2012, LIMNOL OCEANOGR, V57, P798, DOI 10.4319/lo.2012.57.3.0798
[Anonymous], 1972, FISHERIES RES BOARD
[Anonymous], 2007, ECOLOGICAL GEOGRAPHY, DOI DOI 10.1016/B978-012455521-1/50002-4
[Anonymous], BIOMASS HDB
Bakenhus I, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01771
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Cavicchioli R, 2015, NAT REV MICROBIOL, V13, P691, DOI 10.1038/nrmicro3549
CONOVER WJ, 1981, TECHNOMETRICS, V23, P351, DOI 10.2307/1268225
Edler L., 1979, Baltic Mar Biol Publ, V5, P1
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
FANNING KA, 1973, ANAL CHEM, V45, P136, DOI 10.1021/ac60323a021
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Griffiths HJ, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011683
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
ITAYA K, 1966, CLIN CHIM ACTA, V14, P361, DOI 10.1016/0009-8981(66)90114-8
Kattner G, 1999, MAR CHEM, V67, P61, DOI 10.1016/S0304-4203(99)00049-3
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kirchman DL, 2001, DEEP-SEA RES PT II, V48, P4179, DOI 10.1016/S0967-0645(01)00085-6
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
LAUBSCHER RK, 1993, POLAR BIOL, V13, P471
Luria CM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02117
Luria CM, 2014, AQUAT MICROB ECOL, V73, P107, DOI 10.3354/ame01703
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Oksanen, 2022, VEGAN COMMUNITY ECOL
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
R Core Team, 2016, R: a Language and Environment for Statistical Computing
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schnetger B, 2014, MAR CHEM, V160, P91, DOI 10.1016/j.marchem.2014.01.010
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Simon M, 2004, LIMNOL OCEANOGR, V49, P1035, DOI 10.4319/lo.2004.49.4.1035
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Simon M, 2007, LIMNOL OCEANOGR, V52, P85, DOI 10.4319/lo.2007.52.1.0085
Simon M, 2012, AQUAT MICROB ECOL, V68, P13, DOI 10.3354/ame01597
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tada Y, 2013, POLAR BIOL, V36, P691, DOI 10.1007/s00300-013-1294-8
Tremblay JE, 2002, DEEP-SEA RES PT II, V49, P3793, DOI 10.1016/S0967-0645(02)00111-X
Vila-Costa M, 2008, J MARINE SYST, V74, P957, DOI 10.1016/j.jmarsys.2007.10.006
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Wilkins D, 2013, ENVIRON MICROBIOL, V15, P1318, DOI 10.1111/1462-2920.12035
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Yu ZTF, 2015, SCI REP-UK, V5, DOI 10.1038/srep11339
NR 58
TC 6
Z9 6
PD AUG
PY 2018
VL 20
IS 8
SI SI
BP 3100
EP 3108
DI 10.1111/1462-2920.14383
UT WOS:000445184600030
DA 2025-07-30
ER
PT J
AU Mou, XZ
Vila-Costa, M
Sun, SL
Zhao, WD
Sharma, S
Moran, MA
AF Mou, Xiaozhen
Vila-Costa, Maria
Sun, Shulei
Zhao, Weidong
Sharma, Shalabh
Moran, Mary Ann
TI Metatranscriptomic signature of exogenous polyamine utilization by
coastal bacterioplankton
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB The polyamines putrescine (PUT) and spermidine (SPD) are ubiquitous in seawater, but mechanisms that drive the degradation of these important nitrogen sources by marine bacteria remain unclear. We employed a comparative metatranscriptomics approach to compare gene transcription patterns between coastal bacterioplankton communities with and without amendments of PUT or SPD, in an effort to understand how bacterial communities and their genes shape polyamine biogeochemistry in the ocean. Statistically different transcript categories in the PUT (25 COG groups) and SPD (23 COG groups) samples, relative to controls that received no amendment (CTRL), indicated that genes encoding the cellular translation machinery and the metabolism of organic nitrogen and carbon became enriched in the community transcriptome when polyamine availability increased. Of the three known pathways for bacterial polyamine degradation, only genes in the transamination pathway were enriched in the PUT and SPD libraries, suggesting that this route dominated polyamine degradation. Taxonomic affiliation of significantly enriched diagnostic genes in the PUT and SPD libraries pointed to roseobacter- and SAR11-affiliated bacteria as the predominant taxa driving transformation in this coastal ocean, although other diverse marine bacterioplankton groups (Gammaproteobacteria, Betaproteobacteria, Actinobacteria and Bacteroidetes) also contributed to polyamine-related gene transcription.
C1 [Mou, Xiaozhen] Kent State Univ, Dept Biol Sci, Kent, OH 44242 USA.
[Vila-Costa, Maria; Sun, Shulei; Sharma, Shalabh; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Zhao, Weidong] Northeastern Ohio Univ Coll Med & Pharm, Coll Med, Rootstown, OH 44272 USA.
[Zhao, Weidong] Northeastern Ohio Univ Coll Med & Pharm, Coll Pharm, Rootstown, OH 44272 USA.
RP Mou, XZ (corresponding author), Kent State Univ, Dept Biol Sci, Kent, OH 44242 USA.
EM xmou@kent.edu
CR Armbrust EV, 2004, SCIENCE, V306, P79, DOI 10.1126/science.1101156
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Chattopadhyay MK, 2009, YEAST, V26, P531, DOI 10.1002/yea.1703
Chou HT, 2008, J BACTERIOL, V190, P1966, DOI 10.1128/JB.01804-07
Dasu VV, 2006, MICROBIOL-SGM, V152, P2265, DOI 10.1099/mic.0.28920-0
Gaboriau F, 2004, BIOCHEM PHARMACOL, V67, P1629, DOI 10.1016/j.bcp.2003.12.033
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
Gill SR, 2006, SCIENCE, V312, P1355, DOI 10.1126/science.1124234
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
HOFLE MG, 1984, APPL ENVIRON MICROB, V47, P843
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Kashiwagi K, 1997, J BIOL CHEM, V272, P6318, DOI 10.1074/jbc.272.10.6318
Kröger N, 2000, P NATL ACAD SCI USA, V97, P14133, DOI 10.1073/pnas.260496497
Kurihara S, 2005, J BIOL CHEM, V280, P4602, DOI 10.1074/jbc.M411114200
Kurihara S, 2008, J BIOL CHEM, V283, P19981, DOI 10.1074/jbc.M800133200
Kusano T, 2007, J PLANT RES, V120, P345, DOI 10.1007/s10265-007-0074-3
Kwon DH, 2006, ANTIMICROB AGENTS CH, V50, P1623, DOI 10.1128/AAC.50.5.1623-1627.2006
LARGE PJ, 1992, FEMS MICROBIOL LETT, V88, P249, DOI 10.1016/0378-1097(92)90806-Y
LEE C, 1992, GEOCHIM COSMOCHIM AC, V56, P3323, DOI 10.1016/0016-7037(92)90308-6
LEE C, 1995, BIOGEOCHEMISTRY, V29, P131
Lu CD, 2002, J BACTERIOL, V184, P3765, DOI 10.1128/JB.184.14.3765-3773.2002
Lu YH, 2002, J PLANKTON RES, V24, P275, DOI 10.1093/plankt/24.3.275
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Moran MA, 1999, ESTUARIES, V22, P55, DOI 10.2307/1352927
Moran MA, 2000, LIMNOL OCEANOGR, V45, P1254, DOI 10.4319/lo.2000.45.6.1254
Moran MA., 2009, MICROBE, V4, P329, DOI [10.1128/microbe.4.329.1, DOI 10.1128/MICROBE.4.329.1]
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Mou XZ, 2010, AQUAT MICROB ECOL, V58, P311, DOI 10.3354/ame01367
Nishibori N, 2003, MAR CHEM, V82, P307, DOI 10.1016/S0304-4203(03)00076-8
Nishibori N, 2001, FISHERIES SCI, V67, P79, DOI 10.1046/j.1444-2906.2001.00202.x
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Poretsky RS, 2005, APPL ENVIRON MICROB, V71, P4121, DOI 10.1128/AEM.71.7.4121-4126.2005
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Samsonova NN, 2003, BMC MICROBIOL, V3, DOI 10.1186/1471-2180-3-2
SAURIN W, 1994, PROTEIN SCI, V3, P325
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sun Shulei., 2010, Nucleic Acids Res, P546
TABOR CW, 1985, MICROBIOL REV, V49, P81, DOI 10.1128/MMBR.49.1.81-99.1985
TAM R, 1993, MICROBIOL REV, V57, P320, DOI 10.1128/MMBR.57.2.320-346.1993
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Vila-Costa M, 2010, ISME J, V4, P1410, DOI 10.1038/ismej.2010.62
NR 44
TC 44
Z9 52
PD DEC
PY 2011
VL 3
IS 6
BP 798
EP 806
DI 10.1111/j.1758-2229.2011.00289.x
UT WOS:000297148800021
DA 2025-07-30
ER
PT J
AU Bayer, B
Hansman, RL
Bittner, MJ
Noriega-Ortega, BE
Niggemann, J
Dittmar, T
Herndl, GJ
AF Bayer, Barbara
Hansman, Roberta L.
Bittner, Meriel J.
Noriega-Ortega, Beatriz E.
Niggemann, Jutta
Dittmar, Thorsten
Herndl, Gerhard J.
TI Ammonia-oxidizing archaea release a suite of organic compounds
potentially fueling prokaryotic heterotrophy in the ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Ammonia-oxidizing archaea (AOA) constitute a considerable fraction of microbial biomass in the global ocean, comprising 20%-40% of the ocean's prokaryotic plankton. However, it remains enigmatic to what extent these chemolithoautotrophic archaea release dissolved organic carbon (DOC). A combination of targeted and untargeted metabolomics was used to characterize the exometabolomes of three model AOA strains of the Nitrosopumilus genus. Our results indicate that marine AOA exude a suite of organic compounds with potentially varying reactivities, dominated by nitrogen-containing compounds. A significant fraction of the released dissolved organic matter (DOM) consists of labile compounds, which typically limit prokaryotic heterotrophic activity in open ocean waters, including amino acids, thymidine and B vitamins. Amino acid release rates corresponded with ammonia oxidation activity and the three Nitrosopumilus strains predominantly released hydrophobic amino acids, potentially as a result of passive diffusion. Despite the low contribution of DOC released by AOA (similar to 0.08%-1.05%) to the heterotrophic prokaryotic carbon demand, the release of physiologically relevant metabolites could be crucial for microbes that are auxotrophic for some of these compounds, including members of the globally abundant and ubiquitous SAR11 clade.
C1 [Bayer, Barbara; Hansman, Roberta L.; Bittner, Meriel J.; Herndl, Gerhard J.] Univ Vienna, Ctr Funct Ecol, Dept Limnol & Biooceanog, Div Biooceanog, A-1090 Vienna, Austria.
[Hansman, Roberta L.] Intemat Atom Energy Agcy, Radioecol Lab, Environm Labs, MC-98000 Monaco, Monaco.
[Noriega-Ortega, Beatriz E.; Niggemann, Jutta; Dittmar, Thorsten] Carl von Ossietzky Univ Oldenburg, ICBM MPI Bridging Grp Marine Geochem, D-26129 Oldenburg, Germany.
[Herndl, Gerhard J.] NIOZ Royal Netherlands Inst Sea Res, Dept Marine Microbiol & Biogeochem, NL-1790 AB Den Burg, Texel, Netherlands.
[Herndl, Gerhard J.] Univ Utrecht, NL-1790 AB Den Burg, Texel, Netherlands.
RP Bayer, B (corresponding author), Univ Vienna, Ctr Funct Ecol, Dept Limnol & Biooceanog, Div Biooceanog, A-1090 Vienna, Austria.
EM barbara.bayer@outlook.com
CR Albers SV, 2011, NAT REV MICROBIOL, V9, P414, DOI 10.1038/nrmicro2576
García-Angulo VA, 2017, CRIT REV MICROBIOL, V43, P196, DOI 10.1080/1040841X.2016.1192578
Arrieta JM, 2015, SCIENCE, V348, P331, DOI 10.1126/science.1258955
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
BAINES SB, 1991, LIMNOL OCEANOGR, V36, P1078, DOI 10.4319/lo.1991.36.6.1078
Bayer B, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00181-19
Bayer B, 2019, INT J SYST EVOL MICR, V69, P1892, DOI 10.1099/ijsem.0.003360
Bayer B, 2016, ISME J, V10, P1051, DOI 10.1038/ismej.2015.200
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Becker JW, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00111
Bennett BD, 2009, NAT CHEM BIOL, V5, P593, DOI 10.1038/nchembio.186
BJORNSEN PK, 1988, LIMNOL OCEANOGR, V33, P151, DOI 10.4319/lo.1988.33.1.0151
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
CHAKRABARTI AC, 1992, BIOCHIM BIOPHYS ACTA, V1111, P171, DOI 10.1016/0005-2736(92)90308-9
Chambers MC, 2012, NAT BIOTECHNOL, V30, P918, DOI 10.1038/nbt.2377
CHINLEO G, 1988, APPL ENVIRON MICROB, V54, P1934, DOI 10.1128/AEM.54.8.1934-1939.1988
Dibrova DV, 2014, ENVIRON MICROBIOL, V16, P907, DOI 10.1111/1462-2920.12359
Dittmar T, 2008, LIMNOL OCEANOGR-METH, V6, P230, DOI 10.4319/lom.2008.6.230
DROOP MR, 1957, J GEN MICROBIOL, V16, P286, DOI 10.1099/00221287-16-1-286
Fiore CL, 2015, ENVIRON MICROBIOL, V17, P3949, DOI 10.1111/1462-2920.12899
Flynn KJ, 2008, J PHYCOL, V44, P1171, DOI 10.1111/j.1529-8817.2008.00562.x
FOGG GE, 1983, BOT MAR, V26, P3, DOI 10.1515/botm.1983.26.1.3
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
FUHRMAN JA, 1987, MAR ECOL PROG SER, V37, P45, DOI 10.3354/meps037045
Garcia SL, 2015, MOL ECOL, V24, P4449, DOI 10.1111/mec.13319
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
Granum E, 2002, MAR ECOL PROG SER, V242, P83, DOI 10.3354/meps242083
Green NW, 2014, MAR CHEM, V161, P14, DOI 10.1016/j.marchem.2014.01.012
Grossart HP, 2007, AQUAT MICROB ECOL, V47, P163, DOI 10.3354/ame047163
Hamerly T, 2015, ARCHAEA, V2015, DOI 10.1155/2015/472726
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Hansman RL, 2015, MAR CHEM, V177, P288, DOI 10.1016/j.marchem.2015.06.001
Heal KR, 2017, P NATL ACAD SCI USA, V114, P364, DOI 10.1073/pnas.1608462114
HEDGES JI, 1992, MAR CHEM, V39, P67, DOI 10.1016/0304-4203(92)90096-S
HEISSENBERGER A, 1994, MAR ECOL PROG SER, V111, P129, DOI 10.3354/meps111129
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Hertkorn N, 2006, GEOCHIM COSMOCHIM AC, V70, P2990, DOI 10.1016/j.gca.2006.03.021
Johnson WM, 2017, LIMNOL OCEANOGR-METH, V15, P417, DOI 10.1002/lom3.10181
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kim JG, 2016, P NATL ACAD SCI USA, V113, P7888, DOI 10.1073/pnas.1605501113
Kim S, 2003, ANAL CHEM, V75, P5336, DOI 10.1021/ac034415p
Koch BP, 2007, ANAL CHEM, V79, P1758, DOI 10.1021/ac061949s
Könneke M, 2014, P NATL ACAD SCI USA, V111, P8239, DOI 10.1073/pnas.1402028111
Koga Y, 2007, MICROBIOL MOL BIOL R, V71, P97, DOI 10.1128/MMBR.00033-06
Kolbe M, 2000, SCIENCE, V288, P1390, DOI 10.1126/science.288.5470.1390
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Kujawinski EB, 2009, GEOCHIM COSMOCHIM AC, V73, P4384, DOI 10.1016/j.gca.2009.04.033
Lechtenfeld OJ, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7711
Leonardi R, 2007, ECOSAL PLUS, V2, DOI [10.1128/ecosalplus.3.6.3.4, DOI 10.1128/ECOSALPLUS.3.6.3.4]
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
MARTINJEZEQUEL V, 1988, MAR ECOL PROG SER, V44, P303, DOI 10.3354/meps044303
Mee MT, 2012, MOL BIOSYST, V8, P2470, DOI 10.1039/c2mb25133g
Melamud E, 2010, ANAL CHEM, V82, P9818, DOI 10.1021/ac1021166
MENZEL DW, 1962, LIMNOL OCEANOGR, V7, P151, DOI 10.4319/lo.1962.7.2.0151
Micallef L, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101717
Millette NC, 2018, LIMNOL OCEANOGR LETT, V3, P341, DOI 10.1002/lol2.10084
MOPPER K, 1991, NATURE, V353, P60, DOI 10.1038/353060a0
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Morán XAG, 2013, MAR ECOL PROG SER, V489, P75, DOI 10.3354/meps10428
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MYKLESTAD S, 1989, J PLANKTON RES, V11, P763, DOI 10.1093/plankt/11.4.763
Myklestad SM, 2000, MAR CHEM, V5, P112, DOI DOI 10.1007/106838265
Nagata T., 2000, MICROBIAL ECOLOGY OC, P121
Noriega-Ortegao BE, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00215
OBERNOSTERER I, 1995, MAR ECOL PROG SER, V116, P247, DOI 10.3354/meps116247
Osterholz H, 2014, MAR CHEM, V160, P1, DOI 10.1016/j.marchem.2014.01.002
Paerl RW, 2017, ISME J, V11, P753, DOI 10.1038/ismej.2016.145
Patti GJ, 2012, NAT REV MOL CELL BIO, V13, P263, DOI 10.1038/nrm3314
Pernil Rafael, 2015, Life-Basel, V5, P1282, DOI 10.3390/life5021282
Rajamani S, 2008, MOL PLANT MICROBE IN, V21, P1184, DOI 10.1094/MPMI-21-9-1184
Reinthaler T, 2006, LIMNOL OCEANOGR, V51, P1262, DOI 10.4319/lo.2006.51.3.1262
Reinthaler T, 2010, DEEP-SEA RES PT II, V57, P1572, DOI 10.1016/j.dsr2.2010.02.023
Reji L, 2019, ISME J, V13, P1144, DOI 10.1038/s41396-018-0311-x
Riedel T, 2014, ANAL CHEM, V86, P8376, DOI 10.1021/ac501946m
Roberts Mary F, 2005, Saline Syst, V1, P5, DOI 10.1186/1746-1448-1-5
Romano S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0096038
Santoro AE, 2019, ANNU REV MAR SCI, V11, P131, DOI [10.1146/annurev-marine-121916063141, 10.1146/annurev-marine-121916-063141]
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Sarmento H, 2013, LIMNOL OCEANOGR, V58, P1123, DOI 10.4319/lo.2013.58.3.1123
SCHIRCH V, 1985, J BACTERIOL, V163, P1
Shen Y, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-20857-5
Soule MCK, 2015, MAR CHEM, V177, P374, DOI 10.1016/j.marchem.2015.06.029
Stoderegger K, 1998, LIMNOL OCEANOGR, V43, P877, DOI 10.4319/lo.1998.43.5.0877
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Varela MM, 2011, ENVIRON MICROBIOL, V13, P1524, DOI 10.1111/j.1462-2920.2011.02457.x
Vraspir JM, 2009, ANNU REV MAR SCI, V1, P43, DOI 10.1146/annurev.marine.010908.163712
Wienhausen G, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01985
NR 96
TC 70
Z9 77
PD NOV
PY 2019
VL 21
IS 11
BP 4062
EP 4075
DI 10.1111/1462-2920.14755
EA AUG 2019
UT WOS:000480009600001
DA 2025-07-30
ER
PT J
AU Silvano, E
Yang, MY
Wolterink, M
Giebel, HA
Simon, M
Scanlan, DJ
Zhao, YL
Chen, Y
AF Silvano, Eleonora
Yang, Mingyu
Wolterink, Mathias
Giebel, Helge-Ansgar
Simon, Meinhard
Scanlan, David J.
Zhao, Yanlin
Chen, Yin
TI Lipidomic Analysis of Roseobacters of the Pelagic RCA Cluster and Their
Response to Phosphorus Limitation
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB The marine roseobacter-clade affiliated cluster (RCA) represents one of the most abundant groups of bacterioplankton in the global oceans, particularly in temperate and sub-polar regions. They play a key role in the biogeochemical cycling of various elements and are important players in oceanic climate-active trace gas metabolism. In contrast to copiotrophic roseobacter counterparts such as Ruegeria pomeroyi DSS-3 and Phaeobacter sp. MED193, RCA bacteria are truly pelagic and have smaller genomes. We have previously shown that RCA bacteria do not appear to encode the PlcP-mediated lipid remodeling pathway, whereby marine heterotrophic bacteria remodel their membrane lipid composition in response to phosphorus (P) stress by substituting membrane glycerophospholipids with alternative glycolipids or betaine lipids. In this study, we report lipidomic analysis of six RCA isolates. In addition to the commonly found glycerophospholipids such as phosphatidylglycerol (PG) and phosphatidylethanolamine (PE), RCA bacteria synthesize a relatively uncommon phospholipid, acylphosphatidylglycerol, which is not found in copiotrophic roseobacters. Instead, like the abundant SAR11 clade, RCA bacteria upregulate ornithine lipid biosynthesis in response to P stress, suggesting a key role of this aminolipid in the adaptation of marine heterotrophs to oceanic nutrient limitation.
C1 [Silvano, Eleonora; Scanlan, David J.; Chen, Yin] Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
[Yang, Mingyu; Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll Life Sci, Fujian Prov Key Lab Agroecol Proc & Safety Monito, Fuzhou, Peoples R China.
[Wolterink, Mathias; Giebel, Helge-Ansgar; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm ICBM, Oldenburg, Germany.
RP Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
EM Y.chen.25@warwick.ac.uk
CR Billerbeck S, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.63, 10.1038/NMICROBIOL.2016.63]
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
FOLCH J, 1957, J BIOL CHEM, V226, P497
Giebel HA, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz050
Giebel HA, 2013, INT J SYST EVOL MICR, V63, P4207, DOI 10.1099/ijs.0.053249-0
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Hines KM, 2019, CHEM PHYS LIPIDS, V219, P15, DOI 10.1016/j.chemphyslip.2019.01.007
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Luo HW, 2015, TRENDS MICROBIOL, V23, P577, DOI 10.1016/j.tim.2015.05.004
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Luo Y, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25869-9
Mausz MA, 2019, CURR ISSUES MOL BIOL, V33, P133, DOI 10.21775/cimb.033.133
Mayali X, 2008, APPL ENVIRON MICROB, V74, P2595, DOI 10.1128/AEM.02191-07
NISHIJIMA M, 1978, BIOCHIM BIOPHYS ACTA, V528, P107
Sahonero-Canavesi DX, 2015, ENVIRON MICROBIOL, V17, P3391, DOI 10.1111/1462-2920.12814
Sebastián M, 2016, ISME J, V10, P968, DOI 10.1038/ismej.2015.172
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Smith AF, 2019, ISME J, V13, P39, DOI 10.1038/s41396-018-0249-z
Sun Y, 2017, ENVIRON MICROBIOL, V19, P1625, DOI 10.1111/1462-2920.13683
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Yague G, 1997, FEMS MICROBIOL LETT, V151, P125, DOI 10.1016/S0378-1097(97)00137-7
Zhang Y, 2016, APPL ENVIRON MICROB, V82, P2100, DOI 10.1128/AEM.03678-15
Zhang ZF, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00494-19
NR 30
TC 9
Z9 9
PD DEC 21
PY 2020
VL 11
AR 552135
DI 10.3389/fmicb.2020.552135
UT WOS:000604300800001
DA 2025-07-30
ER
PT J
AU De Corte, D
Muck, S
Tiroch, J
Mena, C
Herndl, GJ
Sintes, E
AF De Corte, Daniele
Muck, Simone
Tiroch, Johanna
Mena, Catalina
Herndl, Gerhard J.
Sintes, Eva
TI Microbes mediating the sulfur cycle in the Atlantic Ocean and their link
to chemolithoautotrophy
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Only about 10%-30% of the organic matter produced in the epipelagic layers reaches the dark ocean. Under these limiting conditions, reduced inorganic substrates might be used as an energy source to fuel prokaryotic chemoautotrophic and/or mixotrophic activity. The aprA gene encodes the alpha subunit of the adenosine-5 '-phosphosulfate (APS) reductase, present in sulfate-reducing (SRP) and sulfur-oxidizing prokaryotes (SOP). The sulfur-oxidizing pathway can be coupled to inorganic carbon fixation via the Calvin-Benson-Bassham cycle. The abundances of aprA and cbbM, encoding RuBisCO form II (the key CO2 fixing enzyme), were determined over the entire water column along a latitudinal transect in the Atlantic from 64 degrees N to 50 degrees S covering six oceanic provinces. The abundance of aprA and cbbM genes significantly increased with depth reaching the highest abundances in meso- and upper bathypelagic layers. The contribution of cells containing these genes also increased from mesotrophic towards oligotrophic provinces, suggesting that under nutrient limiting conditions alternative energy sources are advantageous. However, the aprA/cbbM ratios indicated that only a fraction of the SOP is associated with inorganic carbon fixation. The aprA harbouring prokaryotic community was dominated by Pelagibacterales in surface and mesopelagic waters, while Candidatus Thioglobus, Chromatiales and the Deltaproteobacterium_SCGC dominated the bathypelagic realm. Noticeably, the contribution of the SRP to the prokaryotic community harbouring aprA gene was low, suggesting a major utilization of inorganic sulfur compounds either as an energy source (occasionally coupled with inorganic carbon fixation) or in biosynthesis pathways.
C1 [De Corte, Daniele] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.
[Muck, Simone; Tiroch, Johanna; Herndl, Gerhard J.; Sintes, Eva] Univ Vienna, Dept Funct & Evolutionary Ecol, Vienna, Austria.
[Mena, Catalina; Sintes, Eva] Inst Espanol Oceanog, Ctr Oceanog Baleares, Palma De Mallorca, Spain.
[Herndl, Gerhard J.] Univ Utrecht, Royal Netherlands Inst Sea Res, Dept Marine Microbiol & Biogeochem, NIOZ, Den Burg, Netherlands.
RP De Corte, D (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.
EM daniele.de.corte@uni-oldenburg.de
CR Acinas SG, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02112-2
Anantharaman K, 2013, P NATL ACAD SCI USA, V110, P330, DOI 10.1073/pnas.1215340110
Aoki M, 2015, MICROBES ENVIRON, V30, P276, DOI 10.1264/jsme2.ME15023
Arrieta JM, 2015, SCIENCE, V348, P331, DOI 10.1126/science.1258955
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Baltar F, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043105
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
Blazejak A, 2006, APPL ENVIRON MICROB, V72, P5527, DOI 10.1128/AEM.02441-05
Blazejak A, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00253
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Buesseler KO, 2007, SCIENCE, V316, P567, DOI 10.1126/science.1137959
Buesseler KO, 2009, LIMNOL OCEANOGR, V54, P1210, DOI 10.4319/lo.2009.54.4.1210
Callahan Ben J, 2016, F1000Res, V5, P1492
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Canfield DE, 2005, ADV MAR BIOL, V48, P313
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
delGiorgio P, 1996, LIMNOL OCEANOGR, V41, P783, DOI 10.4319/lo.1996.41.4.0783
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Frank AH, 2016, ENVIRON MICROBIOL, V18, P2052, DOI 10.1111/1462-2920.13237
Frank KL, 2013, ISME J, V7, P1391, DOI 10.1038/ismej.2013.17
Fritz G, 2000, FEBS LETT, V473, P63, DOI 10.1016/S0014-5793(00)01500-3
Han YC, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-28613-5
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Herndl GJ, 2013, NAT GEOSCI, V6, P718, DOI [10.1038/ngeo1921, 10.1038/NGEO1921]
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Hipp WM, 1997, MICROBIOL-UK, V143, P2891, DOI 10.1099/00221287-143-9-2891
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
Hügler M, 2010, FEMS MICROBIOL ECOL, V73, P526, DOI 10.1111/j.1574-6941.2010.00919.x
Imhoff J.F., 2014, The Prokaryotes: Gammaproteobacteria, P151, DOI [DOI 10.1007/978-3-642-38922-1295, 10.1007/978-3-642-38922-1295, DOI 10.1007/978-3-642-38922-1_295]
Kappler U, 2001, FEMS MICROBIOL LETT, V203, P1, DOI 10.1016/S0378-1097(01)00304-4
Kennedy J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091092
Kumar S, 2018, MOL BIOL EVOL, V35, P1, DOI 10.1093/molbev/msx313
LAMPREIA J, 1994, METHOD ENZYMOL, V243, P241
Larsson J., 2020, EULERR AREA PROPORTI
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Li GZ, 2013, ANTON LEEUW INT J G, V104, P1073, DOI 10.1007/s10482-013-0029-8
Li YD, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00623
Longhurst AlanR., 2007, EC GEOGR SEA 2 ED, VSecond
Lozupone C, 2011, ISME J, V5, P169, DOI 10.1038/ismej.2010.133
Mawji E, 2015, MAR CHEM, V177, P1, DOI 10.1016/j.marchem.2015.04.005
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Meyer B, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001514
Meyer B, 2007, APPL ENVIRON MICROB, V73, P7664, DOI 10.1128/AEM.01272-07
Meyer B, 2007, MICROBIOL-SGM, V153, P2026, DOI 10.1099/mic.0.2006/003152-0
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Muck S, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02141
Oksanen J., 2018, VEGAN COMMUNITY ECOL
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Pjevac P, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00680
Ploug H, 1997, AQUAT MICROB ECOL, V13, P285, DOI 10.3354/ame013285
Radford-Knoery J, 2001, LIMNOL OCEANOGR, V46, P461, DOI 10.4319/lo.2001.46.2.0461
Reinthaler T, 2008, LIMNOL OCEANOGR, V53, P122, DOI 10.4319/lo.2008.53.1.0122
Reinthaler T, 2010, DEEP-SEA RES PT II, V57, P1572, DOI 10.1016/j.dsr2.2010.02.023
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Santoro AE, 2017, LIMNOL OCEANOGR, V62, P1984, DOI 10.1002/lno.10547
SHANKS AL, 1993, MAR ECOL PROG SER, V96, P43, DOI 10.3354/meps096043
Sievert SM, 2007, OCEANOGRAPHY, V20, P117, DOI 10.5670/oceanog.2007.55
SILVER MW, 1978, SCIENCE, V201, P371, DOI 10.1126/science.201.4353.371
Sintes E, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00077
Sintes E, 2013, ENVIRON MICROBIOL, V15, P1647, DOI 10.1111/j.1462-2920.2012.02801.x
Skytte Andersen K.S., 2018, ampvis2: An R Package to Analyse and Visualise 16S rRNA Amplicon Data, P299537, DOI DOI 10.1101/299537, Patent No. 299537
Smith DP, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00068-16
Spietz RL, 2019, ENVIRON MICROBIOL, V21, P2391, DOI 10.1111/1462-2920.14623
Spietz RL, 2019, MICROBIOL RESOUR ANN, V8, DOI 10.1128/MRA.00097-19
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tabita FR, 2008, J EXP BOT, V59, P1515, DOI 10.1093/jxb/erm361
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Wagner S, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00341
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Watanabe T, 2013, SYST APPL MICROBIOL, V36, P436, DOI 10.1016/j.syapm.2013.04.009
NR 72
TC 7
Z9 7
PD NOV
PY 2021
VL 23
IS 11
BP 7152
EP 7167
DI 10.1111/1462-2920.15759
EA SEP 2021
UT WOS:000697383000001
DA 2025-07-30
ER
PT J
AU LeCleir, GR
DeBruyn, JM
Maas, EW
Boyd, PW
Wilhelm, SW
AF LeCleir, Gary R.
DeBruyn, Jennifer M.
Maas, Elizabeth W.
Boyd, Philip W.
Wilhelm, Steven W.
TI Temporal changes in particle-associated microbial communities after
interception by nonlethal sediment traps
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Using marine sediment traps (named RESPIRE for REspiration of Sinking Particles In the subsuRface ocEan) designed to collect sinking particles and associated microbial communities in situ, we collected and incubated marine aggregates/particles in the southern Pacific Ocean from separate phytoplankton bloom events in situ. We determined the phylogenetic affiliation for the microorganisms growing on aggregates by pyrosequencing partial 16S rRNA gene amplicons. Water column samples were also collected and sequenced for comparison between sinking-particle-associated and planktonic bacterial communities. Statistically significant differences were found between the water column and sediment trap bacteria. Relative abundances of Pelagibacter sp. and multiple members of the Flavobacteria, Actinobacteria, and -Proteobacteria were elevated in water column samples, while trap samples contained members of the Roseobacter clade of -Proteobacteria in high relative abundances. Our findings indicated that rapid changes - within 24h of collection - occurred to the microbial community associated with aggregates from either bloom type. There was a little change in the bacterial assemblage after the initial 24-h incubation period. The most abundant early colonizer was a Sulfitobacter sp. This study provides further evidence that Roseobacters are rapid colonizers of marine aggregates and that colonization can occur on short timescales. This study further demonstrates that particle origin may be insignificant regarding the heterotrophic bacterial population that degrades them.
C1 [LeCleir, Gary R.; Wilhelm, Steven W.] Univ Tennessee, Dept Microbiol, Knoxville, TN 37996 USA.
[DeBruyn, Jennifer M.] Univ Tennessee, Knoxville, TN 37996 USA.
[Maas, Elizabeth W.] Natl Inst Water & Atmospher Res, Wellington, New Zealand.
[Boyd, Philip W.] Univ Otago, Dept Chem, NIWA Ctr Chem & Phys Oceanog, Dunedin, New Zealand.
[Boyd, Philip W.] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia.
RP Wilhelm, SW (corresponding author), Univ Tennessee, Dept Microbiol, Knoxville, TN 37996 USA.
EM wilhelm@utk.edu
CR ALLDREDGE AL, 1985, DEEP-SEA RES, V32, P1445, DOI 10.1016/0198-0149(85)90096-2
ALLDREDGE AL, 1988, PROG OCEANOGR, V20, P41, DOI 10.1016/0079-6611(88)90053-5
[Anonymous], CLIMATE CHANGE
Bearon RN, 2007, B MATH BIOL, V69, P417, DOI 10.1007/s11538-005-9038-8
Boyd PW, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053448
Brinkhoff T, 2004, APPL ENVIRON MICROB, V70, P2560, DOI 10.1128/AEM.70.4.2560-2565.2003
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
CARON DA, 1986, J MAR RES, V44, P543, DOI 10.1357/002224086788403042
Clarke KR., 2006, PRIMER VERSION 7 USE
Cude WN, 2012, APPL ENVIRON MICROB, V78, P4771, DOI 10.1128/AEM.00297-12
Dang HY, 2008, APPL ENVIRON MICROB, V74, P52, DOI 10.1128/AEM.01400-07
Dang HY, 2002, ENVIRON MICROBIOL, V4, P287, DOI 10.1046/j.1462-2920.2002.00295.x
Dang HY, 2000, APPL ENVIRON MICROB, V66, P467, DOI 10.1128/AEM.66.2.467-475.2000
DAVIS MB, 1967, GEOL SOC AM BULL, V78, P849, DOI 10.1130/0016-7606(1967)78[849:PDILAM]2.0.CO;2
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Hall JA, 2006, NEW ZEAL J MAR FRESH, V40, P195, DOI 10.1080/00288330.2006.9517413
Harms G, 2003, ENVIRON SCI TECHNOL, V37, P343, DOI 10.1021/es0257164
HOPPE HG, 1993, MAR ECOL PROG SER, V93, P277, DOI 10.3354/meps093277
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Jing HM, 2012, J PLANKTON RES, V34, P700, DOI 10.1093/plankt/fbs043
Kellogg CTE, 2009, AQUAT MICROB ECOL, V57, P1, DOI 10.3354/ame01317
King AL, 2012, BIOGEOSCIENCES, V9, P667, DOI 10.5194/bg-9-667-2012
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
KNAUER GA, 1984, J MAR RES, V42, P445, DOI 10.1357/002224084788502710
Kwon EY, 2009, NAT GEOSCI, V2, P630, DOI 10.1038/NGEO612
Lozupone CA, 2007, APPL ENVIRON MICROB, V73, P1576, DOI 10.1128/AEM.01996-06
Martens T, 2007, MICROB ECOL, V54, P31, DOI 10.1007/s00248-006-9165-2
MARTIN JH, 1987, DEEP-SEA RES, V34, P267, DOI 10.1016/0198-0149(87)90086-0
Matteson AR, 2013, FEMS MICROBIOL ECOL, V84, P223, DOI 10.1111/1574-6941.12060
Matteson AR, 2012, FEMS MICROBIOL ECOL, V79, P709, DOI 10.1111/j.1574-6941.2011.01251.x
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Methé BA, 2012, NATURE, V486, P215, DOI 10.1038/nature11209
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MULLERNIKLAS G, 1994, LIMNOL OCEANOGR, V39, P58
Murphy RJ, 2001, NEW ZEAL J MAR FRESH, V35, P343, DOI 10.1080/00288330.2001.9517005
Nedashkovskaya OI, 2003, INT J SYST EVOL MICR, V53, P1967, DOI 10.1099/ijs.0.02626-0
Nodder SD, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002833
POMEROY LR, 1984, B MAR SCI, V35, P426
Quince C, 2009, NAT METHODS, V6, P639, DOI [10.1038/nmeth.1361, 10.1038/NMETH.1361]
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
RILEY GA, 1970, ADV MAR BIOL, V8, P1
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SHANKS AL, 1979, LIMNOL OCEANOGR, V24, P850, DOI 10.4319/lo.1979.24.5.0850
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Taylor GT, 2009, DEEP-SEA RES PT I, V56, P1266, DOI 10.1016/j.dsr.2009.02.006
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Wagner-Döbler I, 2004, INT J SYST EVOL MICR, V54, P1177, DOI 10.1099/ijs.0.02850-0
Wang Y, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007401
Weller DI, 2013, PROG OCEANOGR, V116, P193, DOI 10.1016/j.pocean.2013.07.008
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
Wilhelm SW, 2013, AQUAT MICROB ECOL, V68, P185, DOI 10.3354/ame01611
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Zimmermann H, 1997, AQUAT MICROB ECOL, V13, P37, DOI 10.3354/ame013037
NR 56
TC 35
Z9 38
PD JAN
PY 2014
VL 87
IS 1
BP 153
EP 163
DI 10.1111/1574-6941.12213
UT WOS:000329170100015
DA 2025-07-30
ER
PT J
AU Du, S
Wu, Y
Ying, HQ
Wu, ZQ
Yang, MY
Chen, F
Shao, JB
Liu, H
Zhang, ZF
Zhao, YL
AF Du, Sen
Wu, Ying
Ying, Hanqi
Wu, Zuqing
Yang, Mingyu
Chen, Feng
Shao, Jiabing
Liu, He
Zhang, Zefeng
Zhao, Yanlin
TI Genome sequences of the first Autographiviridae phages infecting marine
Roseobacter
SO MICROBIAL GENOMICS
DT Article
AB The ubiquitous and abundant marine phages play critical roles in shaping the composition and function of bacterial communities, impacting biogeochemical cycling in marine ecosystems. Autographiviridae is among the most abundant and ubiquitous phage families in the ocean. However, studies on the diversity and ecology of Autographiviridae phages in marine environments are restricted to isolates that infect SAR11 bacteria and cyanobacteria. In this study, ten new roseophages that infect marine Roseobacter strains were isolated from coastal waters. These new roseophages have a genome size ranging from 38 917 to 42 634 bp and G+C content of 44.6-50 %. Comparative genomics showed that they are similar to known Autographiviridae phages regarding gene content and architecture, thus representing the first Autographiviridae roseophages. Phylogenomic analysis based on concatenated conserved genes showed that the ten roseophages form three distinct subgroups within the Autographiviridae, and sequence analysis revealed that they belong to eight new genera. Finally, viromic read- mapping showed that these new Autographiviridae phages are widely distributed in global oceans, mostly inhabiting polar and estuarine locations. This study has expanded the current understanding of the genomic diversity, evolution and ecology of Autographiviridae phages and roseophages. We suggest that Autographiviridae phages play important roles in the mortality and community structure of roseobacters, and have broad ecological applications.
C1 [Du, Sen; Wu, Ying; Ying, Hanqi; Wu, Zuqing; Yang, Mingyu; Shao, Jiabing; Liu, He; Zhang, Zefeng; Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll Juncao Sci & Ecol, Fuzhou, Peoples R China.
[Chen, Feng] Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, Baltimore, MD 21201 USA.
[Zhao, Yanlin] Fujian Agr & Forestry Univ, Inst Oceanol, Key Lab Marine Biotechnol Fujian Prov, Fuzhou, Peoples R China.
RP Zhang, ZF; Zhao, YL (corresponding author), Fujian Agr & Forestry Univ, Coll Juncao Sci & Ecol, Fuzhou, Peoples R China.; Zhao, YL (corresponding author), Fujian Agr & Forestry Univ, Inst Oceanol, Key Lab Marine Biotechnol Fujian Prov, Fuzhou, Peoples R China.
EM zfengbio@126.com; yanlinzhao@fafu.edu.cn
CR Adriaenssens EM, 2020, ARCH VIROL, V165, P1253, DOI 10.1007/s00705-020-04577-8
[Anonymous], 2012, R K. Pheatmap: pretty Heatmaps
Beaulaurier J, 2020, GENOME RES, V30, P437, DOI 10.1101/gr.251686.119
Bischoff V, 2019, ISME J, V13, P1404, DOI 10.1038/s41396-019-0362-7
Blje Wanner, 1996, Phosphorus Assimilation and Control of the Phosphate Regulon, P1357
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Cai LL, 2023, ISME J, V17, P252, DOI 10.1038/s41396-022-01340-6
Cai LL, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1241-6
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Chen F, 2002, APPL ENVIRON MICROB, V68, P2589, DOI 10.1128/AEM.68.5.2589-2594.2002
Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Christie-Oleza JA, 2015, PROTEOMICS, V15, P3928, DOI 10.1002/pmic.201500222
Dion MB, 2020, NAT REV MICROBIOL, V18, P125, DOI 10.1038/s41579-019-0311-5
Feng XY, 2021, ISME J, V15, P3576, DOI 10.1038/s41396-021-01036-3
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Gao C, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.104680
Goldsmith DB, 2015, PEERJ, V3, DOI 10.7717/peerj.997
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Gross M, 2006, MOL MICROBIOL, V59, P590, DOI 10.1111/j.1365-2958.2005.04956.x
Hevroni G, 2020, P NATL ACAD SCI USA, V117, P29738, DOI 10.1073/pnas.2010783117
Hsieh YJ, 2010, CURR OPIN MICROBIOL, V13, P198, DOI 10.1016/j.mib.2010.01.014
Huang SJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142962
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jaiani E, 2020, MAR DRUGS, V18, DOI 10.3390/md18110558
Jurgensen SK, 2022, ISME J, V16, P972, DOI 10.1038/s41396-021-01143-1
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Katoh K, 2009, METHODS MOL BIOL, V537, P39, DOI 10.1007/978-1-59745-251-9_3
Keizo N., 2010, MAVE, V10, P92, DOI DOI 10.4319/MAVE.2010.978-0-9845591-0-7.92
Klemetsen T, 2018, NUCLEIC ACIDS RES, V46, pD692, DOI 10.1093/nar/gkx1036
Koehn EM, 2010, ARCH BIOCHEM BIOPHYS, V493, P96, DOI 10.1016/j.abb.2009.07.016
Labrie SJ, 2013, ENVIRON MICROBIOL, V15, P1356, DOI 10.1111/1462-2920.12053
LeRoux M, 2022, ANNU REV MICROBIOL, V76, P21, DOI 10.1146/annurev-micro-020722-013730
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Li DH, 2016, METHODS, V102, P3, DOI 10.1016/j.ymeth.2016.02.020
Liang YT, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01951
Liu YT, 2023, MICROBIOME, V11, DOI 10.1186/s40168-023-01644-5
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Lundin D, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-383
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
Molineux IJ., 2006, The Bacteriophages, P277
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Moraru C, 2020, VIRUSES-BASEL, V12, DOI 10.3390/v12111268
Myllykallio H, 2002, SCIENCE, V297, P105, DOI 10.1126/science.1072113
NIKKOLA M, 1993, J BIOL CHEM, V268, P3845
Nishimura Y, 2017, BIOINFORMATICS, V33, P2379, DOI 10.1093/bioinformatics/btx157
Nordlund N, 2006, ANNU REV BIOCHEM, V75, P681, DOI 10.1146/annurev.biochem.75.103004.142443
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Pope WH, 2007, J MOL BIOL, V368, P966, DOI 10.1016/j.jmb.2007.02.046
Pourtois J, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00221
Qin F, 2022, ISME J, V16, P1363, DOI 10.1038/s41396-021-01183-7
Rihtman B, 2019, ENV MICROBIOL REP, V11, P448, DOI 10.1111/1758-2229.12741
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Sakowski EG, 2014, P NATL ACAD SCI USA, V111, P15786, DOI 10.1073/pnas.1401322111
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Sullivan MJ, 2011, BIOINFORMATICS, V27, P1009, DOI 10.1093/bioinformatics/btr039
Sun MQ, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.01020-20
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Turner D., 2019, MICROB BIOTECHNOL
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wang S, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.834581
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
Xu B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01153-4
Zhai ZQ, 2021, MICROBIOL SPECTR, V9, DOI 10.1128/Spectrum.01239-21
Zhan YC, 2019, ENVIRON MICROBIOL, V21, P1885, DOI 10.1111/1462-2920.14504
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhang ZF, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00494-19
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 80
TC 4
Z9 4
PD APR
PY 2024
VL 10
IS 4
AR 001240
DI 10.1099/mgen.0.001240
UT WOS:001263742000006
DA 2025-07-30
ER
PT J
AU Nazina, T
Babich, T
Kostryukova, N
Sokolova, D
Abdullin, R
Tourova, T
Kadnikov, V
Mardanov, A
Ravin, N
Grouzdev, D
Poltaraus, A
Kalmykov, S
Safonov, A
Zakharova, E
Novikov, A
Kato, K
AF Nazina, Tamara
Babich, Tamara
Kostryukova, Nadezhda
Sokolova, Diyana
Abdullin, Ruslan
Tourova, Tatyana
Kadnikov, Vitaly
Mardanov, Andrey
Ravin, Nikolai
Grouzdev, Denis
Poltaraus, Andrey
Kalmykov, Stepan
Safonov, Alexey
Zakharova, Elena
Novikov, Alexander
Kato, Kenji
TI Ultramicrobacteria from Nitrate- and Radionuclide-Contaminated
Groundwater
SO SUSTAINABILITY
DT Article
AB The goal of the present work was to investigate the physicochemical and radiochemical conditions and the microbial diversity in groundwater collected near the Lake Karachai (Russia), which was formerly used for the disposal of liquid radioactive waste, to isolate the dominant bacteria, and to determine their taxonomy and the physiological characteristics responsible for their adaptation to this environment. Groundwater samples contained high concentrations of acetate, oxalate, nitrate, and sulfate, as well as radionuclides. High-throughput sequencing and analysis of the clone libraries revealed lower microbial diversity in the most strongly contaminated groundwater and a predominance of bacteria of the genera Polynucleobacter, Pusillimonas, Candidatus Pelagibacter, and of the candidate phylum Parcubacteria; these groups include species with an ultra small cell size. Archaeal sequences in the libraries belonged to ammonium oxidizers of the phylum Thaumarchaeota and methanogens of the phylum Euryarchaeota. Pure cultures of obligate and facultative ultramicrobacteria belonging to the genera Chryseobacterium, Microbacterium, Salinibacterium, Pusillimonas, Roseomonas, and Janibacter were isolated from water samples. In genomes of Pusillimonas and Roseomonas strains the genes associated with nitrate reduction, resistance to heavy metals and metalloids were revealed. Several isolates are able to participate in the geochemical process of nitrate conversion to N-2 using acetate; this results in decreasing redox potential, which in turn may stimulate radionuclide reduction and decrease radionuclide migration in groundwater.
C1 [Nazina, Tamara; Babich, Tamara; Kostryukova, Nadezhda; Sokolova, Diyana; Abdullin, Ruslan; Tourova, Tatyana] Russian Acad Sci, Res Ctr Biotechnol, Winogradsky Inst Microbiol, Moscow 119071, Russia.
[Nazina, Tamara; Novikov, Alexander] Russian Acad Sci, VI Vernadsky Inst Geochem & Analyt Chem, Moscow 119071, Russia.
[Kadnikov, Vitaly; Mardanov, Andrey; Ravin, Nikolai; Grouzdev, Denis] Russian Acad Sci, Inst Bioengn, Res Ctr Biotechnol, Moscow 119071, Russia.
[Poltaraus, Andrey] Russian Acad Sci, Engelhardt Inst Mol Biol, Moscow 119071, Russia.
[Kalmykov, Stepan] Lomonosov Moscow State Univ, Chem Fac, Moscow 119991, Russia.
[Safonov, Alexey; Zakharova, Elena] Russian Acad Sci, Frumkin Inst Phys Chem & Electrochem, Moscow 119071, Russia.
[Kato, Kenji] Shizuoka Univ, Fac Sci, Dept Geosci, Shizuoka 4228529, Japan.
RP Nazina, T (corresponding author), Russian Acad Sci, Res Ctr Biotechnol, Winogradsky Inst Microbiol, Moscow 119071, Russia.; Nazina, T (corresponding author), Russian Acad Sci, VI Vernadsky Inst Geochem & Analyt Chem, Moscow 119071, Russia.
EM nazina@inmi.ru; microb101@yandex.ru; npavlova@mail.ru;
sokolovadiyana@gmail.com; rusfbm@gmail.com; tptour@rambler.ru;
vkadnikov@bk.ru; andrey.mardanov@gmail.com; nravin@mail.ru;
denisgrouzdev@gmail.com; abpolt@gmail.com; stepan@radio.chem.msu.ru;
alexeysafonof@gmail.com; zakharova@ipc.rssi.ru; novikov@geokhi.ru;
kato.kenji@shizuoka.ac.jp
CR Alexakhin A.I, 2007, RESERVOIR 9 STORAGE, P250
[Anonymous], 1996, DEEP INJECTION DISPO
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Balukova VD, 1998, DEEP INJECTION DISPO, P206
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Castelle CJ, 2015, CURR BIOL, V25, P690, DOI 10.1016/j.cub.2015.01.014
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Duda VI, 2011, ELS, P1, DOI DOI 10.1002/9780470015902.A0000309.PUB2
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
EDWARDS U, 1989, NUCLEIC ACIDS RES, V17, P7843, DOI 10.1093/nar/17.19.7843
GARRETT RH, 1969, J BIOL CHEM, V244, P2870
GHIORSE WC, 1988, ADV APPL MICROBIOL, V33, P107, DOI 10.1016/S0065-2164(08)70206-5
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Green SJ, 2012, APPL ENVIRON MICROB, V78, P1039, DOI 10.1128/AEM.06435-11
Grosskopf R, 1998, APPL ENVIRON MICROB, V64, P960
Grouzdev DS, 2018, DATA BRIEF, V21, P882, DOI 10.1016/j.dib.2018.10.060
Grouzdev DS, 2018, GENOME ANNOUNCEMENTS, V6, DOI 10.1128/genomeA.00583-18
Harris JK, 2004, APPL ENVIRON MICROB, V70, P845, DOI 10.1128/AEM.70.2.845-849.2004
Hemme CL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01205
Jiang J, 2017, 3 BIOTECH, V7, DOI 10.1007/s13205-017-0603-2
Kantor RS, 2013, MBIO, V4, DOI 10.1128/mBio.00708-13
Katoh K, 2008, BRIEF BIOINFORM, V9, P286, DOI 10.1093/bib/bbn013
Kim M, 2014, INT J SYST EVOL MICR, V64, P346, DOI 10.1099/ijs.0.059774-0
Kolganova TV, 2002, MICROBIOLOGY+, V71, P243, DOI 10.1023/A:1015122926687
Konstantinidis KT, 2006, PHILOS T R SOC B, V361, P1929, DOI 10.1098/rstb.2006.1920
Kothari A, 2019, MBIO, V10, DOI 10.1128/mBio.02899-18
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Lever MA, 2015, FEMS MICROBIOL REV, V39, P688, DOI 10.1093/femsre/fuv020
Markowitz VM, 2009, BIOINFORMATICS, V25, P2271, DOI 10.1093/bioinformatics/btp393
May H.D., 2016, Organohalide-Respiring Bacteria
Meier-Kolthoff JP, 2013, BMC BIOINFORMATICS, V14, DOI 10.1186/1471-2105-14-60
Metsalu T, 2015, NUCLEIC ACIDS RES, V43, pW566, DOI 10.1093/nar/gkv468
Miyoshi T, 2005, APPL ENVIRON MICROB, V71, P1084, DOI 10.1128/AEM.71.2.1084-1088.2005
Morita R.Y., 1985, BACTERIA THEIR NATUR, V16, P111
Myasoedov BF, 1999, P SPEC WORKSH OCT 25, P3
Nazina T.N, 2020, BEHAV RADIONUCLIDES, VI
Nazina TN, 2010, GEOMICROBIOL J, V27, P473, DOI 10.1080/01490451003719044
Nazina TN, 2006, MICROBIOLOGY+, V75, P55, DOI 10.1134/S0026261706010115
Nazina TN, 2004, FEMS MICROBIOL ECOL, V49, P97, DOI 10.1016/j.femsec.2004.02.017
Nelson WC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00713
Newsome L, 2014, CHEM GEOL, V363, P164, DOI 10.1016/j.chemgeo.2013.10.034
Nies DH, 1999, APPL MICROBIOL BIOT, V51, P730, DOI 10.1007/s002530051457
North NN, 2004, APPL ENVIRON MICROB, V70, P4911, DOI 10.1128/aem.70.8.4911-4920.2004
Novikov AP, 1998, RADIOCHEMISTRY+, V40, P484
Pal C, 2014, NUCLEIC ACIDS RES, V42, pD737, DOI 10.1093/nar/gkt1252
Plakunov VK, 2016, MICROBIOLOGY+, V85, P509, DOI 10.1134/S0026261716040147
REYNOLDS ES, 1963, J CELL BIOL, V17, P208, DOI 10.1083/jcb.17.1.208
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rumynin VG, 2011, THEOR APPL TRANS POR, V25, P1
Safonov AV, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01985
Schut F, 1997, AQUAT MICROB ECOL, V12, P177, DOI 10.3354/ame012177
Senko JM, 2002, ENVIRON SCI TECHNOL, V36, P1491, DOI 10.1021/es011240x
Smibert Robert M., 1994, P607
Solodov IN, 1998, APPL GEOCHEM, V13, P921, DOI 10.1016/S0883-2927(98)00025-0
Spain AM, 2007, APPL ENVIRON MICROB, V73, P4892, DOI 10.1128/AEM.00331-07
Tatusova T., 2013, The NCBI Handbook
Truper H. G., 1964, J MICROBIOL SEROL, V30, P321, DOI DOI 10.1007/BF02046728
Wall JD, 2006, ANNU REV MICROBIOL, V60, P149, DOI 10.1146/annurev.micro.59.030804.121357
Wang HW, 2010, J MICROBIOL METH, V82, P330, DOI 10.1016/j.mimet.2010.06.014
Weidler GW, 2008, APPL ENVIRON MICROB, V74, P5934, DOI 10.1128/AEM.02602-07
Wrighton KC, 2014, ISME J, V8, P1452, DOI 10.1038/ismej.2013.249
Wrighton KC, 2012, SCIENCE, V337, P1661, DOI 10.1126/science.1224041
Wu WM, 2010, ENVIRON SCI TECHNOL, V44, P5104, DOI 10.1021/es1000837
Zachara JM, 2013, J CONTAM HYDROL, V147, P45, DOI 10.1016/j.jconhyd.2013.02.001
NR 66
TC 10
Z9 11
PD FEB
PY 2020
VL 12
IS 3
AR 1239
DI 10.3390/su12031239
UT WOS:000524899604020
DA 2025-07-30
ER
PT J
AU Xie, ZX
He, YB
Zhang, SF
Lin, L
Wang, MH
Wang, DZ
AF Xie, Zhang-Xian
He, Yan-Bin
Zhang, Shu-Feng
Lin, Lin
Wang, Ming-Hua
Wang, Da-Zhi
TI Metaexoproteomics Reveals Microbial Behavior in the Ocean's Interior
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB The proteins present in the extracellular environment of cells, named the "exoproteome," are critical for microbial survival, growth, and interaction with their surroundings. However, little is known about microbial exoproteomes in natural marine environments. Here, we used a metaproteomic approach to characterize the exoprotein profiles (10 kDa-0.2 mu m) throughout a water column in the South China Sea. Viruses, together with Alpha- and Gammaproteobacteria were the predominant contributors. However, the exoprotein-producing microbial communities varied with depth: SAR11 in the shallow waters, Pseudomonadales and Nitrososphaeria in the mesopelagic layer, and Alteromonadales, Rhizobiales, and Betaproteobacteria in the bathypelagic layer. Besides viral and unknown proteins, diverse transporters contributed substantially to the exoproteomes and varied vertically in their microbial origins, but presented similar patterns in their predicted substrate identities throughout the water column. Other microbial metabolic processes subject to vertical zonation included proteolysis, the oxidation of ammonia, nitrite and carbon monoxide, C1 metabolism, and the degradation of sulfur-containing dissolved organic matter (DOM). Our metaexoproteomic study provides insights into the depth-variable trends in the in situ ecological traits of the marine microbial community hidden in the non-cellular world, including nutrient cycling, niche partitioning and DOM remineralization.
C1 [Xie, Zhang-Xian; Zhang, Shu-Feng; Lin, Lin; Wang, Ming-Hua; Wang, Da-Zhi] Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Xie, Zhang-Xian] Xiamen Univ, Coll Ocean & Earth Sci, Xiamen, Peoples R China.
[Xie, Zhang-Xian; Lin, Lin; Wang, Da-Zhi] Sun Yat Sen Univ, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China.
[He, Yan-Bin] BGI Shenzhen, Shenzhen, Peoples R China.
RP Wang, DZ (corresponding author), Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.; Wang, DZ (corresponding author), Sun Yat Sen Univ, Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China.
EM dzwang@xmu.edu.cn
CR Acinas SG, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02112-2
Armengaud J, 2012, EXPERT REV PROTEOMIC, V9, P561, DOI [10.1586/EPR.12.52, 10.1586/epr.12.52]
Baltar F, 2018, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02438
Baltar F, 2017, BIOGEOCHEMISTRY, V133, P307, DOI 10.1007/s10533-017-0334-9
Baltar F, 2013, MICROB ECOL, V65, P277, DOI 10.1007/s00248-012-0126-7
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Carini P, 2018, ENVIRON MICROBIOL, V20, P2112, DOI 10.1111/1462-2920.14107
Chen S, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145123
Christie-Oleza JA, 2015, ENVIRON MICROBIOL, V17, P3781, DOI 10.1111/1462-2920.12822
Christie-Oleza JA, 2012, MOL CELL PROTEOMICS, V11, DOI 10.1074/mcp.M111.013110
Christie-Oleza JA, 2010, MAR DRUGS, V8, P2223, DOI 10.3390/md8082223
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dong HP, 2013, GEOCHIM COSMOCHIM AC, V109, P51, DOI 10.1016/j.gca.2013.01.041
Dong HP, 2010, LIMNOL OCEANOGR, V55, P1565, DOI 10.4319/lo.2010.55.4.1565
Durighello E, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089691
Eloe EA, 2011, ENV MICROBIOL REP, V3, P449, DOI 10.1111/j.1758-2229.2010.00223.x
Evans FF, 2007, J PROTEOME RES, V6, P967, DOI 10.1021/pr060416x
Eyice Ö, 2018, ISME J, V12, P145, DOI 10.1038/ismej.2017.148
Ferrera I, 2015, CURR OPIN MICROBIOL, V25, P33, DOI 10.1016/j.mib.2015.03.007
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Jiao N, 2014, BIOGEOSCIENCES, V11, P2391, DOI 10.5194/bg-11-2391-2014
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kerou M, 2016, P NATL ACAD SCI USA, V113, pE7937, DOI 10.1073/pnas.1601212113
Koch H, 2015, P NATL ACAD SCI USA, V112, P11371, DOI 10.1073/pnas.1506533112
Kozlowski JA, 2016, ISME J, V10, P1836, DOI 10.1038/ismej.2016.2
Lindell D, 2005, NATURE, V438, P86, DOI 10.1038/nature04111
LOCHTE K, 1988, NATURE, V333, P67, DOI 10.1038/333067a0
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Lücker S, 2010, P NATL ACAD SCI USA, V107, P13479, DOI 10.1073/pnas.1003860107
Lund MB, 2012, ISME J, V6, P1966, DOI 10.1038/ismej.2012.40
Martinez-Gomez NC, 2013, J BACTERIOL, V195, P2359, DOI 10.1128/JB.00029-13
Moore EK, 2012, GEOCHIM COSMOCHIM AC, V83, P324, DOI 10.1016/j.gca.2012.01.002
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Murudkar CS, 2006, FEMS MICROBIOL LETT, V257, P24, DOI 10.1111/j.1574-6968.2006.00151.x
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Qin W, 2018, ISME J, V12, P508, DOI 10.1038/ismej.2017.186
Rinke C, 2021, NAT MICROBIOL, V6, P946, DOI 10.1038/s41564-021-00918-8
Saito MA, 2019, J PROTEOME RES, V18, P1461, DOI 10.1021/acs.jproteome.8b00761
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Santoro AE, 2011, SCIENCE, V333, P1282, DOI 10.1126/science.1208239
Sharon I, 2007, ISME J, V1, P492, DOI 10.1038/ismej.2007.67
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sun J, 2019, ENVIRON MICROBIOL, V21, P513, DOI 10.1111/1462-2920.14461
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tolli JD, 2005, LIMNOL OCEANOGR, V50, P1205, DOI 10.4319/lo.2005.50.4.1205
Wang DZ, 2011, LIMNOL OCEANOGR, V56, P1641, DOI 10.4319/lo.2011.56.5.1641
Wen B, 2015, PROTEOMICS, V15, P2916, DOI 10.1002/pmic.201400208
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Xie ZX, 2018, ENVIRON MICROBIOL, V20, P477, DOI 10.1111/1462-2920.13937
Xu DP, 2018, ENVIRON MICROBIOL, V20, P3811, DOI 10.1111/1462-2920.14396
Zhang X, 2016, MICROBIOME, V4, DOI 10.1186/s40168-016-0176-z
Zhang Y, 2020, P NATL ACAD SCI USA, V117, P4823, DOI 10.1073/pnas.1912367117
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhao ZH, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz4354
NR 64
TC 2
Z9 2
PD FEB 16
PY 2022
VL 13
AR 749874
DI 10.3389/fmicb.2022.749874
UT WOS:000764162700001
DA 2025-07-30
ER
PT J
AU Shai, Y
Rubin-Blum, M
Angel, DL
Sisma-Ventura, G
Zurel, D
Astrahan, P
Rahav, E
AF Shai, Yael
Rubin-Blum, Maxim
Angel, Dror L.
Sisma-Ventura, Guy
Zurel, Dror
Astrahan, Peleg
Rahav, Eyal
TI Response of oligotrophic coastal microbial populations in the SE
Mediterranean Sea to crude oil pollution; lessons from mesocosm studies
SO ESTUARINE COASTAL AND SHELF SCIENCE
DT Article
AB Anthropogenically-induced oil spills release large amounts of organic pollutants into the marine environment. To date, little is known about the response of microbial populations (biomass, activity and diversity) to crude oil pollution in Low Nutrients Low Chlorophyll and warm systems. Here, we investigated the daily dynamics of phytoplankton and heterotrophic bacteria in response to an oil spill (500 um thick layer) in the coastal waters of the SE Mediterranean Sea (SEMS), using mesocosms during winter and summer. Crude oil addition caused a marked decrease in phytoplankton biomass (40-76%) and production rates (22-96%), whereas heterotmphic bacterial abundance and production increased (4-68% and 17-165%, respectively). Concurrently, amplicon sequencing of the 16S rRNA gene revealed that oil-degrading bacteria became abundant 48-96 h post-oil addition, while the cosmopolitan Synechococcus and SAR11 lineages were significantly reduced (by 78-98% and 59-98%, respectively). Fertilization with inorganic nutrients (NO3 and PO4) reduced the deleterious effects of the oil, resulting in a less distinct reduction in phytoplankton biomass/abundance. Our results highlight the potential of intrinsic microbial communities to degrade oil-derived pollutants in oligotrophic coastal waters.
C1 [Shai, Yael; Angel, Dror L.] Univ Haifa, Charney Sch Marine Sci, Dept Maritime Civilizat, Haifa, Israel.
[Shai, Yael; Zurel, Dror] Minist Environm Protect, Marine Environm Protect Div, Jerusalem, Israel.
[Rubin-Blum, Maxim; Sisma-Ventura, Guy; Rahav, Eyal] Israel Oceanog & Limnol Res, Natl Inst Oceanog, Haifa, Israel.
[Astrahan, Peleg] Israel Oceanog & Limnol Res, Kinneret Limnol Lab, Migdal, Israel.
RP Angel, DL (corresponding author), Univ Haifa, Charney Sch Marine Sci, Dept Maritime Civilizat, Haifa, Israel.; Rahav, E (corresponding author), Israel Oceanog & Limnol Res, Natl Inst Oceanog, Haifa, Israel.
EM dangel@univ.haifa.ac.il; eyal.rahav@ocean.org.il
CR Abbasian F, 2016, BIOTECHNOL PROGR, V32, P638, DOI 10.1002/btpr.2249
Almeda R, 2014, ECOTOX ENVIRON SAFE, V106, P76, DOI 10.1016/j.ecoenv.2014.04.028
Amir R., 2019, OIL POLLUTION MEDI 2
[Anonymous], 2018, ATMOS, DOI DOI 10.3390/ATM0S9080305
[Anonymous], 2013, LANG ENV STAT COMP
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Arnosti C, 2016, DEEP-SEA RES PT II, V129, P179, DOI 10.1016/j.dsr2.2014.12.008
Bacosa HP, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01325
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Brenner S., 2019, OIL GAS WELLS, DOI [10.5772/intechopen.86205., DOI 10.5772/INTECHOPEN.86205]
Brussaard CPD, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11206
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chronopoulou PM, 2015, MICROB BIOTECHNOL, V8, P434, DOI 10.1111/1751-7915.12176
Dave D., 2011, American Journal of Environmental Sciences, V7, P423, DOI 10.3844/ajessp.2011.424.440
Dombrowski N, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.57, 10.1038/nmicrobiol.2016.57]
dos Santos HF, 2015, SCI REP-UK, V5, DOI 10.1038/srep18268
Dubinsky V., 2016, ENV MICROBIOL, P1, DOI [10.1111/1462-2920, DOI 10.1111/1462-2920]
Echeveste P, 2010, ENVIRON POLLUT, V158, P299, DOI 10.1016/j.envpol.2009.07.006
Edwards BR, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/035301
El-Dib MA, 2001, INT J ENVIRON HEAL R, V11, P189, DOI 10.1080/09603120020047582
Fiala M, 1999, POLAR BIOL, V21, P391, DOI 10.1007/s003000050378
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Frank H, 2017, DESALINATION, V417, P52, DOI 10.1016/j.desal.2017.04.031
Gertler C, 2012, FEMS MICROBIOL ECOL, V81, P520, DOI 10.1111/j.1574-6941.2012.01377.x
Giebel HA, 2016, STAND GENOMIC SCI, V11, DOI 10.1186/s40793-016-0201-7
Gilde K, 2012, ESTUAR COAST, V35, P853, DOI 10.1007/s12237-011-9473-8
Gontikaki E, 2018, J APPL MICROBIOL, V125, P1040, DOI 10.1111/jam.14030
González J, 2009, ESTUAR COAST SHELF S, V83, P265, DOI 10.1016/j.ecss.2009.04.001
Gros J, 2014, ENVIRON SCI TECHNOL, V48, P9400, DOI 10.1021/es502437e
Gutierrez T, 2013, ISME J, V7, P2091, DOI 10.1038/ismej.2013.98
Harwati TU, 2009, INT J SYST EVOL MICR, V59, P392, DOI 10.1099/ijs.0.65821-0
Hazen TC, 2010, SCIENCE, V330, P204, DOI 10.1126/science.1195979
Hjorth M, 2008, MAR ECOL PROG SER, V363, P121, DOI 10.3354/meps07470
ITOPF, 2019, OIL TANK SPILL STAT, P16
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Keuter S, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv070
Kimes NE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00603
Kirchman DL, 2012, Processes in Microbial Ecology, P1
Kress N, 2005, DEEP-SEA RES PT II, V52, P3054, DOI 10.1016/j.dsr2.2005.08.013
Kress N, 2019, MAR POLLUT BULL, V141, P612, DOI 10.1016/j.marpolbul.2019.02.070
Krolicka A, 2017, MICROBES ENVIRON, V32, P358, DOI 10.1264/jsme2.ME17082
LEAHY JG, 1990, MICROBIOL REV, V54, P305, DOI 10.1128/MMBR.54.3.305-315.1990
Liu Y, 2006, J INTEGR PLANT BIOL, V48, P169, DOI 10.1111/j.1744-7909.2006.00161.x-i1
Lo N, 2015, INT J SYST EVOL MICR, V65, P1935, DOI 10.1099/ijs.0.000199
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Luna GM, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004168
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Nayar S, 2005, ECOTOXICOLOGY, V14, P397, DOI 10.1007/s10646-004-6373-8
Dang NP, 2016, ENVIRON TECHNOL, V37, P1151, DOI 10.1080/09593330.2015.1103784
Ozhan K, 2014, ECOTOXICOLOGY, V23, P370, DOI 10.1007/s10646-014-1195-9
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Rahav E, 2016, SCI REP-UK, V6, DOI 10.1038/srep27858
Rahav E, 2018, MAR POLLUT BULL, V127, P559, DOI 10.1016/j.marpolbul.2017.12.048
Rahav E, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04622-8
Rahav E, 2013, J GEOPHYS RES-BIOGEO, V118, P195, DOI 10.1002/jgrg.20023
Raveh O, 2019, MAR POLLUT BULL, V146, P355, DOI 10.1016/j.marpolbul.2019.06.067
Raveh O, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140690
Rilov G, 2016, SCI REP-UK, V6, DOI 10.1038/srep36897
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Sisma-Ventura G, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01913
Skei J, 2000, AMBIO, V29, P184, DOI 10.1639/0044-7447(2000)029[0184:EACIAE]2.0.CO;2
Skytte Andersen K.S., 2018, ampvis2: An R Package to Analyse and Visualise 16S rRNA Amplicon Data, P299537, DOI DOI 10.1101/299537, Patent No. 299537
Smith AF, 2019, ISME J, V13, P39, DOI 10.1038/s41396-018-0249-z
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Steeman-Nielsen E., 1952, J CONS CONS PERM INT, V8, P117, DOI DOI 10.1093/ICESJMS/18.2.117
Stein LY, 2019, CURR OPIN CHEM BIOL, V49, P9, DOI 10.1016/j.cbpa.2018.09.003
Teramoto M, 2011, INT J SYST EVOL MICR, V61, P375, DOI 10.1099/ijs.0.018671-0
Thiele S, 2017, MAR GENOM, V32, P61, DOI 10.1016/j.margen.2016.12.003
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Tremblay J, 2019, ENVIRON MICROBIOL, V21, P2307, DOI 10.1111/1462-2920.14609
Vázquez-Domínguez E, 2007, GLOBAL CHANGE BIOL, V13, P1327, DOI 10.1111/j.1365-2486.2007.01377.x
Wawrik B, 2012, FEMS MICROBIOL ECOL, V79, P400, DOI 10.1111/j.1574-6941.2011.01226.x
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
WOLFE DA, 1994, ENVIRON SCI TECHNOL, V28, pA560, DOI 10.1021/es00062a712
YACOBI YZ, 1991, FRESHWATER BIOL, V26, P1, DOI 10.1111/j.1365-2427.1991.tb00503.x
Yakimov MM, 2007, CURR OPIN BIOTECH, V18, P257, DOI 10.1016/j.copbio.2007.04.006
NR 79
TC 13
Z9 16
PD FEB 5
PY 2021
VL 249
AR 107102
DI 10.1016/j.ecss.2020.107102
EA JAN 2021
UT WOS:000609304600006
DA 2025-07-30
ER
PT J
AU Carrión, O
Li, CY
Peng, M
Wang, JY
Pohnert, G
Azizah, M
Zhu, XY
Curson, ARJ
Wang, Q
Walsham, KS
Zhang, XH
Monaco, S
Harvey, JM
Chen, XL
Gao, C
Wang, N
Wang, XJ
Wang, P
Giovanonni, SJ
Lee, CP
Suffridge, CP
Zhang, Y
Luo, ZQ
Wang, DZ
Todd, JD
Zhang, YZ
AF Carrion, Ornella
Li, Chun-Yang
Peng, Ming
Wang, Jinyan
Pohnert, Georg
Azizah, Muhaiminatul
Zhu, Xiao-Yu
Curson, Andrew R. J.
Wang, Qing
Walsham, Keanu S.
Zhang, Xiao-Hua
Monaco, Serena
Harvey, James M.
Chen, Xiu-Lan
Gao, Chao
Wang, Ning
Wang, Xiu-Juan
Wang, Peng
Giovanonni, Stephen J.
Lee, Chih-Ping
Suffridge, Christopher P.
Zhang, Yu
Luo, Ziqi
Wang, Dazhi
Todd, Jonathan D.
Zhang, Yu-Zhong
TI DMSOP-cleaving enzymes are diverse and widely distributed in marine
microorganisms
SO NATURE MICROBIOLOGY
DT Article
AB Dimethylsulfoxonium propionate (DMSOP) is a recently identified and abundant marine organosulfur compound with roles in oxidative stress protection, global carbon and sulfur cycling and, as shown here, potentially in osmotolerance. Microbial DMSOP cleavage yields dimethyl sulfoxide, a ubiquitous marine metabolite, and acrylate, but the enzymes responsible, and their environmental importance, were unknown. Here we report DMSOP cleavage mechanisms in diverse heterotrophic bacteria, fungi and phototrophic algae not previously known to have this activity, and highlight the unappreciated importance of this process in marine sediment environments. These diverse organisms, including Roseobacter, SAR11 bacteria and Emiliania huxleyi, utilized their dimethylsulfoniopropionate lyase 'Ddd' or 'Alma' enzymes to cleave DMSOP via similar catalytic mechanisms to those for dimethylsulfoniopropionate. Given the annual teragram predictions for DMSOP production and its prevalence in marine sediments, our results highlight that DMSOP cleavage is likely a globally significant process influencing carbon and sulfur fluxes and ecological interactions.
Cycling of the sulfur compound DMSOP by dimethylsulfoniopropionate lyase enzymes in the most abundant marine bacteria, algae and fungi is diverse and prevalent in Earth's oceans and sediments and probably impacts climate-active gas production.
C1 [Carrion, Ornella; Li, Chun-Yang; Peng, Ming; Wang, Jinyan; Zhang, Xiao-Hua; Wang, Peng; Todd, Jonathan D.; Zhang, Yu-Zhong] Ocean Univ China, MOE Key Lab Evolut & Marine Biodivers, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.
[Carrion, Ornella; Li, Chun-Yang; Peng, Ming; Wang, Jinyan; Zhu, Xiao-Yu; Wang, Peng; Todd, Jonathan D.; Zhang, Yu-Zhong] Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
[Carrion, Ornella; Zhu, Xiao-Yu; Curson, Andrew R. J.; Walsham, Keanu S.; Todd, Jonathan D.] Univ East Anglia, Sch Biol Sci, Norwich, England.
[Peng, Ming; Wang, Qing; Chen, Xiu-Lan; Gao, Chao; Wang, Ning; Wang, Xiu-Juan; Zhang, Yu-Zhong] Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Peoples R China.
[Pohnert, Georg; Azizah, Muhaiminatul] Friedrich Schiller Univ Jena, Inst Inorgan & Analyt Chem, Bioorgan Analyt, Jena, Germany.
[Monaco, Serena] Univ East Anglia, Sch Pharm, Norwich, England.
[Harvey, James M.] Kings Coll London, Dept Chem, London, England.
[Chen, Xiu-Lan] Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China.
[Giovanonni, Stephen J.; Lee, Chih-Ping; Suffridge, Christopher P.] Oregon State Univ, Dept Microbiol, Corvallis, OR USA.
[Zhang, Yu; Luo, Ziqi; Wang, Dazhi] Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Zhang, Yu-Zhong] Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.
[Zhang, Yu-Zhong] Shandong Univ, Joint Res Ctr Marine Microbial Sci & Technol, Qingdao, Peoples R China.
[Zhang, Yu-Zhong] Ocean Univ China, Qingdao, Peoples R China.
RP Carrión, O; Li, CY; Todd, JD; Zhang, YZ (corresponding author), Ocean Univ China, MOE Key Lab Evolut & Marine Biodivers, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.; Carrión, O; Li, CY; Todd, JD; Zhang, YZ (corresponding author), Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.; Carrión, O; Todd, JD (corresponding author), Univ East Anglia, Sch Biol Sci, Norwich, England.; Zhang, YZ (corresponding author), Shandong Univ, Marine Biotechnol Res Ctr, State Key Lab Microbial Technol, Qingdao, Peoples R China.; Zhang, YZ (corresponding author), Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Qingdao, Peoples R China.; Zhang, YZ (corresponding author), Shandong Univ, Joint Res Ctr Marine Microbial Sci & Technol, Qingdao, Peoples R China.; Zhang, YZ (corresponding author), Ocean Univ China, Qingdao, Peoples R China.
EM O.Carrion-Fonseca@uea.ac.uk; Lcy@ouc.edu.cn; jonathan.todd@uea.ac.uk;
zhangyz@sdu.edu.cn
CR Adams PD, 2010, ACTA CRYSTALLOGR D, V66, P213, DOI 10.1107/S0907444909052925
Alcolombri U, 2017, ACS CHEM BIOL, V12, P41, DOI 10.1021/acschembio.6b00844
Alcolombri U, 2015, SCIENCE, V348, P1466, DOI 10.1126/science.aab1586
Asher EC, 2017, LIMNOL OCEANOGR, V62, P104, DOI 10.1002/lno.10379
Azizah M, 2022, MAR DRUGS, V20, DOI 10.3390/md20110727
Baumann P., 1981, PROKARYOTES, P1302
BERINGER JE, 1974, J GEN MICROBIOL, V84, P188
Brummett AE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127288
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carradec Q, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02342-1
Carrión O, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7579
Carrión O, 2023, ADV MICROB PHYSIOL, V83, P59, DOI 10.1016/bs.ampbs.2023.03.001
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Curson ARJ, 2011, ISME J, V5, P1191, DOI 10.1038/ismej.2010.203
DeBose JL, 2008, J CHEM ECOL, V34, P867, DOI 10.1007/s10886-008-9493-4
Emsley P, 2010, ACTA CRYSTALLOGR D, V66, P486, DOI 10.1107/S0907444910007493
FIGURSKI DH, 1979, P NATL ACAD SCI USA, V76, P1648, DOI 10.1073/pnas.76.4.1648
GIAEVER HM, 1988, J BACTERIOL, V170, P2841, DOI 10.1128/jb.170.6.2841-2849.1988
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gonzalez JM, 1996, APPL ENVIRON MICROB, V62, P4433
Gregory GJ, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.02235-20
Hopkins FE, 2023, NAT REV EARTH ENV, V4, P361, DOI 10.1038/s43017-023-00428-7
Johnston AWB, 2016, CURR OPIN CHEM BIOL, V31, P58, DOI 10.1016/j.cbpa.2016.01.011
Karsten U, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P143
KELLER MD, 1987, J PHYCOL, V23, P633
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kinsey JD, 2016, ENVIRON CHEM, V13, P195, DOI 10.1071/EN14275
Kirkwood M, 2010, MICROBIOL-SGM, V156, P1900, DOI 10.1099/mic.0.038927-0
KIRST GO, 1990, ANNU REV PLANT PHYS, V41, P21, DOI 10.1146/annurev.pp.41.060190.000321
Ksionzek KB, 2016, SCIENCE, V354, P456, DOI 10.1126/science.aaf7796
Landa M, 2019, ISME J, V13, P2536, DOI 10.1038/s41396-019-0455-3
Lee PA, 1999, ATMOS OCEAN, V37, P439, DOI 10.1080/07055900.1999.9649635
Li CY, 2021, ELIFE, V10, DOI 10.7554/eLife.64045
Li CY, 2017, J MOL BIOL, V429, P3850, DOI 10.1016/j.jmb.2017.10.022
Li CY, 2014, P NATL ACAD SCI USA, V111, P1026, DOI 10.1073/pnas.1312354111
Lidbury I, 2016, ENVIRON MICROBIOL, V18, P2754, DOI 10.1111/1462-2920.13354
Liu J, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9030657
Liu JL, 2022, MICROBIOME, V10, DOI 10.1186/s40168-022-01304-0
Minor W, 2006, ACTA CRYSTALLOGR D, V62, P859, DOI 10.1107/S0907444906019949
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NEIDHARDT FC, 1974, J BACTERIOL, V119, P736, DOI 10.1128/JB.119.3.736-747.1974
Nicholson P, 1998, PHYSIOL MOL PLANT P, V53, P17, DOI 10.1006/pmpp.1998.0170
Peng M, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.03127-18
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Sambrook J., 2001, Molecular cloning: a laboratory manual, V3
Schnicker NJ, 2017, BIOCHEMISTRY-US, V56, P2873, DOI 10.1021/acs.biochem.7b00099
Sievert SM, 2007, OCEANOGRAPHY, V20, P117, DOI 10.5670/oceanog.2007.55
Song DL, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00157
Summers PS, 1998, PLANT PHYSIOL, V116, P369, DOI 10.1104/pp.116.1.369
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Teng ZJ, 2021, NAT MICROBIOL, V6, P1351, DOI 10.1038/s41564-021-00981-1
Thume K, 2018, NATURE, V563, P412, DOI 10.1038/s41586-018-0675-0
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vallina SM, 2007, SCIENCE, V315, P506, DOI 10.1126/science.1133680
Vernette C, 2022, NUCLEIC ACIDS RES, V50, pW516, DOI 10.1093/nar/gkac420
Vorobev A, 2020, GENOME RES, V30, P647, DOI 10.1101/gr.253070.119
Wang P, 2015, MOL MICROBIOL, V98, P289, DOI 10.1111/mmi.13119
Wang SY, 2023, ENVIRON MICROBIOL, V25, P1238, DOI 10.1111/1462-2920.16355
Williams BT, 2019, NAT MICROBIOL, V4, P1815, DOI 10.1038/s41564-019-0527-1
Winn MD, 2011, ACTA CRYSTALLOGR D, V67, P235, DOI 10.1107/S0907444910045749
Wolfe GV, 1997, NATURE, V387, P894, DOI 10.1038/43168
Zheng YF, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18434-4
NR 67
TC 17
Z9 18
PD DEC
PY 2023
VL 8
IS 12
BP 2326
EP 2337
DI 10.1038/s41564-023-01526-4
UT WOS:001111125400012
DA 2025-07-30
ER
PT J
AU Wang, Y
Gao, ZM
Li, J
He, LS
Cui, GJ
Li, WL
Chen, J
Xin, YZ
Cai, DS
Zhang, AQ
AF Wang, Yong
Gao, Zhao-Ming
Li, Jun
He, Li-Sheng
Cui, Guo-Jie
Li, Wen-Li
Chen, Jun
Xin, Yong-Zhi
Cai, Du-Si
Zhang, Ai-Qun
TI Hadal water sampling by in situ microbial filtration and fixation
(ISMIFF) apparatus
SO DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS
DT Article
AB The deepest point of the oceans is over 10 km depth and is characterized with extremely high hydrostatic pressure. Water sampling from the hadal zone for microbiological studies is therefore difficult. In this study, we demonstrate the application of an in situ microbial filtration and fixation (ISMIFF) apparatus in sampling work from the Challenger Deep. A total of 2300 L hadal waters were filtered by the ISMIFF equipped on a hadal lander during seven deployments. The microbial communities in the hadal samples ( > 6000 m) collected by the ISMIFF were composed of more heterotrophic Marinimicrobia and less photoautotrophic Prochlorococcus and SAR11 bacteria, compared with those by Niskin bottles. Such a difference in the community structure was not observed in the samples collected by the two methods from 5000-m depth, indicating an effect of greater depths on sample quality. Our results indicate that the ISMIFF or similar filtration apparatuses are indispensable for hadal water sampling since using Niskin bottles is probably difficult to obtain pristine samples from the hadal zone. Application of the ISMIFF will pave the way to meta-omics studies on the hadal microbes.
C1 [Wang, Yong; Gao, Zhao-Ming; Li, Jun; He, Li-Sheng; Cui, Guo-Jie; Li, Wen-Li; Chen, Jun; Xin, Yong-Zhi; Cai, Du-Si; Zhang, Ai-Qun] Chinese Acad Sci, Inst Deep Sea Sci & Engn, 28 Luhuitou Rd, Sanya, Hainan, Peoples R China.
[Cui, Guo-Jie; Li, Wen-Li; Chen, Jun] Univ Chinese Acad Sci, Beijing, Peoples R China.
RP Wang, Y (corresponding author), Chinese Acad Sci, Inst Deep Sea Sci & Engn, 28 Luhuitou Rd, Sanya, Hainan, Peoples R China.
EM wangy@idsse.ac.cn
CR [Anonymous], Frontiers in Microbiology
Brewer PG, 1998, ENERG FUEL, V12, P183, DOI 10.1021/ef970172q
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Claesson MJ, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq873
Edgcomb VP, 2016, DEEP-SEA RES PT II, V129, P213, DOI 10.1016/j.dsr2.2014.10.020
Edmond J. M., 1970, Deep-Sea Res., V17, P737, DOI 10.1016/0011-7471(70)90038-0
Eloe EA, 2011, ENV MICROBIOL REP, V3, P449, DOI 10.1111/j.1758-2229.2010.00223.x
Feike J, 2012, ISME J, V6, P461, DOI 10.1038/ismej.2011.94
Gao ZM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01387
Hess WR, 2004, CURR OPIN BIOTECH, V15, P191, DOI 10.1016/j.copbio.2004.03.007
Jamieson AJ, 2010, TRENDS ECOL EVOL, V25, P190, DOI 10.1016/j.tree.2009.09.009
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kong Y, 2011, GENOMICS, V98, P152, DOI 10.1016/j.ygeno.2011.05.009
Lee OO, 2011, ISME J, V5, P650, DOI 10.1038/ismej.2010.165
León-Zayas R, 2017, ENVIRON MICROBIOL, V19, P2769, DOI 10.1111/1462-2920.13789
León-Zayas R, 2015, APPL ENVIRON MICROB, V81, P8265, DOI 10.1128/AEM.01659-15
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Nunoura T, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01261
Nunoura T, 2015, P NATL ACAD SCI USA, V112, pE1230, DOI 10.1073/pnas.1421816112
Olins HC, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01042
Ottesen EA, 2016, CURR OPIN MICROBIOL, V31, P132, DOI 10.1016/j.mib.2016.03.012
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Peoples LM, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0195102
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Smith KL, 2018, P NATL ACAD SCI USA, V115, P12235, DOI 10.1073/pnas.1814559115
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teague J, 2017, J MAR SCI ENG, V5, DOI 10.3390/jmse5020022
Zobell C. E, 1957, GALATHEA REP, V1, P139
ZOBELL CE, 1952, SCIENCE, V115, P507, DOI 10.1126/science.115.2993.507
NR 30
TC 26
Z9 29
PD FEB
PY 2019
VL 144
BP 132
EP 137
DI 10.1016/j.dsr.2019.01.009
UT WOS:000460831000011
DA 2025-07-30
ER
PT J
AU Sargeant, SL
Murrell, JC
Nightingale, PD
Dixon, JL
AF Sargeant, S. L.
Murrell, J. C.
Nightingale, P. D.
Dixon, J. L.
TI Seasonal variability in microbial methanol utilisation in coastal waters
of the western English Channel
SO MARINE ECOLOGY PROGRESS SERIES
DT Article
AB Methanol is ubiquitous in seawater and is the most abundant oxygenated volatile organic compound (OVOC) in the atmosphere, where it influences oxidising capacity and ozone formation. Marine methylotrophic bacteria utilise methanol in seawater as an energy and/or growth substrate. This work represents the first fully resolved seasonal study of marine microbial methanol uptake dynamics. Rates of microbial methanol dissimilation in coastal surface waters of the UK varied between 0.7 and 11.2 nmol l(-1) h(-1) and reached a maximum in February. Rates of microbial methanol assimilation varied between 0.04 and 2.64 x 10(-2) nmol l(-1) h(-1) and reached a maximum in August. Temporal variability in microbial methanol uptake rates shows that methanol assimilation and dissimilation display opposing seasonal cycles, although overall, <1% of methanol was assimilated. Correlative approaches with 16S rRNA pyrosequencing data suggested that bacteria of the SAR11 clade and Rhodobacterales could be significantly influencing rates of methanol dissimilation and assimilation, respectively, at Station L4 in the western English Channel.
C1 [Sargeant, S. L.; Nightingale, P. D.; Dixon, J. L.] Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
[Murrell, J. C.] Univ East Anglia, Sch Environm Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
[Sargeant, S. L.] Univ West England, Dept Biol Biomed & Analyt Sci, Frenchay Campus,Coldharbour Lane, Bristol BS16 1QY, Avon, England.
RP Sargeant, SL (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.; Sargeant, SL (corresponding author), Univ West England, Dept Biol Biomed & Analyt Sci, Frenchay Campus,Coldharbour Lane, Bristol BS16 1QY, Avon, England.
EM stephanie.sargeant@uwe.ac.uk
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Beale R, 2015, MAR CHEM, V171, P96, DOI 10.1016/j.marchem.2015.02.013
Beale R, 2013, J GEOPHYS RES-OCEANS, V118, P5412, DOI 10.1002/jgrc.20322
Boden R, 2008, ENVIRON MICROBIOL, V10, P3225, DOI 10.1111/j.1462-2920.2008.01711.x
Boden R, 2010, ENVIRON MICROBIOL, V12, P2688, DOI 10.1111/j.1462-2920.2010.02238.x
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chen Y, 2012, ENVIRON MICROBIOL, V14, P2308, DOI 10.1111/j.1462-2920.2012.02765.x
Chistoserdova L, 2011, ENVIRON MICROBIOL, V13, P2603, DOI 10.1111/j.1462-2920.2011.02464.x
Chistoserdova L, 2009, ANNU REV MICROBIOL, V63, P477, DOI 10.1146/annurev.micro.091208.073600
Dixon JL, 2012, BIOGEOSCIENCES, V9, P2961, DOI 10.5194/bg-9-2961-2012
Dixon JL, 2011, BIOGEOSCIENCES, V8, P2707, DOI 10.5194/bg-8-2707-2011
Dixon JL, 2013, ISME J, V7, P568, DOI 10.1038/ismej.2012.130
Dixon JL, 2011, ISME J, V5, P704, DOI 10.1038/ismej.2010.169
Duncan BN, 2008, ATMOS CHEM PHYS, V8, P7389, DOI 10.5194/acp-8-7389-2008
Felix J. D., 2014, ATMOS CHEM PHYS DISC, V14, P1375, DOI [10.5194/acpd-14-1375-2014, DOI 10.5194/ACPD-14-1375-2014]
Galbally IE, 2002, J ATMOS CHEM, V43, P195, DOI 10.1023/A:1020684815474
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Grasshoff K., 1976, METHODS SEAWATER ANA, V2nd
Grob C, 2015, ENVIRON MICROBIOL, V17, P4007, DOI 10.1111/1462-2920.12935
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Harris R, 2010, J PLANKTON RES, V32, P577, DOI 10.1093/plankt/fbq021
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
Kameyama S, 2010, MAR CHEM, V122, P59, DOI 10.1016/j.marchem.2010.08.003
Kolb S, 2009, FEMS MICROBIOL LETT, V300, P1, DOI 10.1111/j.1574-6968.2009.01681.x
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Lamy D, 2009, AQUAT MICROB ECOL, V58, P95, DOI 10.3354/ame01359
Madhaiyan M, 2010, INT J SYST EVOL MICR, V60, P2187, DOI 10.1099/ijs.0.014019-0
MANTEL N, 1970, BIOMETRICS, V26, P547, DOI 10.2307/2529108
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
McDonald IR, 1997, APPL ENVIRON MICROB, V63, P3218, DOI 10.1128/AEM.63.8.3218-3224.1997
Millet D, 2006, J GEOPHYS RES D, V111, P2156
Moosvi SA, 2005, SYST APPL MICROBIOL, V28, P541, DOI 10.1016/j.syapm.2005.03.002
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Muyzer G., 1998, MOL MICROBIAL ECOLOG, P1
Neufeld JD, 2008, ENVIRON MICROBIOL, V10, P1526, DOI 10.1111/j.1462-2920.2008.01568.x
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Schäfer H, 2007, APPL ENVIRON MICROB, V73, P2580, DOI 10.1128/AEM.02074-06
Schmidt S, 2010, MICROBIOL-SGM, V156, P2575, DOI 10.1099/mic.0.038570-0
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Singh H, 2001, NATURE, V410, P1078, DOI 10.1038/35074067
Singh HB, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017933
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Smyth TJ, 2010, J PLANKTON RES, V32, P585, DOI 10.1093/plankt/fbp128
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Tarran GA, 2006, DEEP-SEA RES PT II, V53, P1516, DOI 10.1016/j.dsr2.2006.05.004
Taubert M, 2015, ENVIRON MICROBIOL, V17, P3937, DOI 10.1111/1462-2920.12896
Tilstone G, 2009, DEEP-SEA RES PT II, V56, P918, DOI 10.1016/j.dsr2.2008.10.034
Williams J, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020012
Wilson SM, 2008, MICROBIOL-SGM, V154, P296, DOI 10.1099/mic.0.2007/011346-0
Yang M, 2014, ATMOS CHEM PHYS, V14, P7499, DOI 10.5194/acp-14-7499-2014
Yang MX, 2014, J GEOPHYS RES-OCEANS, V119, P7308, DOI 10.1002/2014JC010227
Yang M, 2013, P NATL ACAD SCI USA, V110, P20034, DOI 10.1073/pnas.1317840110
Zhang JZ, 2002, ENVIRON SCI TECHNOL, V36, P1048, DOI 10.1021/es011094v
NR 56
TC 12
Z9 14
PD MAY 25
PY 2016
VL 550
BP 53
EP 64
DI 10.3354/meps11705
UT WOS:000379811700004
DA 2025-07-30
ER
PT J
AU Moitinho-Silva, L
Seridi, L
Ryu, T
Voolstra, CR
Ravasi, T
Hentschel, U
AF Moitinho-Silva, Lucas
Seridi, Loqmane
Ryu, Taewoo
Voolstra, Christian R.
Ravasi, Timothy
Hentschel, Ute
TI Revealing microbial functional activities in the Red Sea sponge
Stylissa carteri by metatranscriptomics
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Sponges are important components of marine benthic environments and are associated with microbial symbionts that carry out ecologically relevant functions. Stylissa carteri is an abundant, low-microbial abundance species in the Red Sea. We aimed to achieve the functional and taxonomic characterization of the most actively expressed prokaryotic genes in S.carteri. Prokaryotic mRNA was enriched from sponge total RNA, sequenced using Illumina HiSeq technology and annotated using the metagenomics Rapid Annotation using Subsystem Technology (MG-RAST) pipeline. We detected high expression of archaeal ammonia oxidation and photosynthetic carbon fixation by members of the genus Synechococcus. Functions related to stress response and membrane transporters were among the most highly expressed by S.carteri symbionts. Unexpectedly, gene functions related to methylotrophy were highly expressed by gammaproteobacterial symbionts. The presence of seawater-derived microbes is indicated by the phylogenetic proximity of organic carbon transporters to orthologues of members from the SAR11 clade. In summary, we revealed the most expressed functions of the S.carteri-associated microbial community and linked them to the dominant taxonomic members of the microbiome. This work demonstrates the applicability of metatranscriptomics to explore poorly characterized symbiotic consortia and expands our knowledge of the ecologically relevant functions carried out by coral reef sponge symbionts.
C1 [Moitinho-Silva, Lucas; Hentschel, Ute] Univ Wurzburg, Julius von Sachs Inst Biol Sci, Dept Bot 2, D-97082 Wurzburg, Germany.
[Seridi, Loqmane; Ryu, Taewoo; Ravasi, Timothy] King Abdullah Univ Sci & Technol, Div Biol & Environm Sci & Engn, Thuwal, Saudi Arabia.
[Seridi, Loqmane; Ryu, Taewoo; Ravasi, Timothy] King Abdullah Univ Sci & Technol, Div Appl Math & Comp Sci, Thuwal, Saudi Arabia.
[Voolstra, Christian R.] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Thuwal, Saudi Arabia.
RP Hentschel, U (corresponding author), Univ Wurzburg, Julius von Sachs Inst Biol Sci, Dept Bot 2, Julius von Sachs Pl 3, D-97082 Wurzburg, Germany.
EM ute.hentschel@uni-wuerzburg.de
CR Angermeier H, 2011, FEMS MICROBIOL ECOL, V75, P218, DOI 10.1111/j.1574-6941.2010.01001.x
Anthony C, 2004, ARCH BIOCHEM BIOPHYS, V428, P2, DOI 10.1016/j.abb.2004.03.038
ARILLO A, 1993, MAR BIOL, V117, P159, DOI 10.1007/BF00346438
Batel R, 1998, MUTAT RES-DNA REPAIR, V409, P123, DOI 10.1016/S0921-8777(98)00050-0
Bayer K, 2008, ENVIRON MICROBIOL, V10, P2942, DOI 10.1111/j.1462-2920.2008.01582.x
Bell JJ, 2008, ESTUAR COAST SHELF S, V79, P341, DOI 10.1016/j.ecss.2008.05.002
BRADBEER C, 1993, J BACTERIOL, V175, P3146, DOI 10.1128/JB.175.10.3146-3150.1993
BRAY JR, 1957, ECOL MONOGR, V27, P326, DOI 10.2307/1942268
Brochier-Armanet C, 2008, NAT REV MICROBIOL, V6, P245, DOI 10.1038/nrmicro1852
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Cebrian E, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020211
Chistoserdova L, 2007, J BACTERIOL, V189, P9076, DOI 10.1128/JB.01229-07
Chistoserdova L, 2011, ENVIRON MICROBIOL, V13, P2603, DOI 10.1111/j.1462-2920.2011.02464.x
Chistoserdova L, 2009, ANNU REV MICROBIOL, V63, P477, DOI 10.1146/annurev.micro.091208.073600
Davy SK, 2002, J EXP BIOL, V205, P3505
de Goeij JM, 2013, SCIENCE, V342, P108, DOI 10.1126/science.1241981
Dereeper A, 2008, NUCLEIC ACIDS RES, V36, pW465, DOI 10.1093/nar/gkn180
Diaz MC, 1997, MAR ECOL PROG SER, V156, P97, DOI 10.3354/meps156097
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Ferguson AD, 2002, BBA-BIOMEMBRANES, V1565, P318, DOI 10.1016/S0005-2736(02)00578-3
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Giles EC, 2013, FEMS MICROBIOL ECOL, V83, P232, DOI 10.1111/j.1574-6941.2012.01467.x
Gomez-Alvarez V, 2009, ISME J, V3, P1314, DOI 10.1038/ismej.2009.72
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Hampton-Marcell JT, 2013, METHOD ENZYMOL, V531, P169, DOI 10.1016/B978-0-12-407863-5.00009-5
Hentschel U, 2002, APPL ENVIRON MICROB, V68, P4431, DOI 10.1128/AEM.68.9.4431-4440.2002
Hentschel U, 2012, NAT REV MICROBIOL, V10, P641, DOI 10.1038/nrmicro2839
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Jiménez E, 2007, LIMNOL OCEANOGR, V52, P948, DOI 10.4319/lo.2007.52.3.0948
Gosalbes MJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017447
Kamke J, 2013, ISME J, V7, P2287, DOI 10.1038/ismej.2013.111
Kamke J, 2010, ISME J, V4, P498, DOI 10.1038/ismej.2009.143
Keane TM, 2006, BMC EVOL BIOL, V6, DOI 10.1186/1471-2148-6-29
Kleiner M, 2012, P NATL ACAD SCI USA, V109, pE1173, DOI 10.1073/pnas.1121198109
Lee OO, 2011, ISME J, V5, P650, DOI 10.1038/ismej.2010.165
Leininger S, 2006, NATURE, V442, P806, DOI 10.1038/nature04983
Liu M, 2012, ISME J, V6, P1515, DOI 10.1038/ismej.2012.1
Luter HM, 2010, APPL ENVIRON MICROB, V76, P5736, DOI 10.1128/AEM.00653-10
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Mogk A, 2011, CSH PERSPECT BIOL, V3, DOI 10.1101/cshperspect.a004366
Mohamed NM, 2008, ENVIRON MICROBIOL, V10, P2910, DOI 10.1111/j.1462-2920.2008.01704.x
Moitinho-Silva L, 2014, MOL ECOL, V23, P1348, DOI 10.1111/mec.12365
Moran MA., 2009, MICROBE, V4, P329, DOI [10.1128/microbe.4.329.1, DOI 10.1128/MICROBE.4.329.1]
Moran MA, 2013, ISME J, V7, P237, DOI 10.1038/ismej.2012.94
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mussmann M, 2011, P NATL ACAD SCI USA, V108, P16771, DOI 10.1073/pnas.1106427108
Ngugi DK, 2012, MOL ECOL, V21, P388, DOI 10.1111/j.1365-294X.2011.05378.x
Nguyen MTHD, 2014, MOL ECOL, V23, P1635, DOI 10.1111/mec.12384
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Radax R, 2012, ENVIRON MICROBIOL, V14, P1308, DOI 10.1111/j.1462-2920.2012.02714.x
Radax R, 2012, ENVIRON MICROBIOL, V14, P909, DOI 10.1111/j.1462-2920.2011.02661.x
Raitsos DE, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064909
Regoli F, 2000, MAR BIOL, V137, P453, DOI 10.1007/s002270000369
REISWIG HM, 1973, J EXP MAR BIOL ECOL, V14, P231
Ribes M, 2012, ENVIRON MICROBIOL, V14, P1224, DOI 10.1111/j.1462-2920.2012.02701.x
Sanders JG, 2013, ISME J, V7, P1556, DOI 10.1038/ismej.2013.45
Satinsky BM, 2013, METHOD ENZYMOL, V531, P237, DOI 10.1016/B978-0-12-407863-5.00012-5
Sayavedra-Soto LA, 2011, ENV MICROBIOL REP, V3, P390, DOI 10.1111/j.1758-2229.2010.00239.x
Schauer K, 2008, TRENDS BIOCHEM SCI, V33, P330, DOI 10.1016/j.tibs.2008.04.012
Schläppy ML, 2010, MAR BIOL, V157, P593, DOI 10.1007/s00227-009-1344-5
Schmitt S, 2012, ISME J, V6, P564, DOI 10.1038/ismej.2011.116
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Simister R, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052220
Simister RL, 2012, ENVIRON MICROBIOL, V14, P517, DOI 10.1111/j.1462-2920.2011.02664.x
Six C, 2005, J BACTERIOL, V187, P1685, DOI 10.1128/JB.187.5.1685-1694.2005
Stahl DA, 2012, ANNU REV MICROBIOL, V66, P83, DOI 10.1146/annurev-micro-092611-150128
Stewart FJ, 2013, METHOD ENZYMOL, V531, P187, DOI 10.1016/B978-0-12-407863-5.00010-1
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Sztukowska M, 2002, MOL MICROBIOL, V44, P479, DOI 10.1046/j.1365-2958.2002.02892.x
Taylor MW, 2007, MICROBIOL MOL BIOL R, V71, P295, DOI 10.1128/MMBR.00040-06
Taylor MW, 2013, ISME J, V7, P438, DOI 10.1038/ismej.2012.111
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thomas T, 2010, ISME J, V4, P1557, DOI 10.1038/ismej.2010.74
Ting CS, 2002, TRENDS MICROBIOL, V10, P134, DOI 10.1016/S0966-842X(02)02319-3
Tripp HJ, 2011, NUCLEIC ACIDS RES, V39, P8792, DOI 10.1093/nar/gkr576
Urich T, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002527
VACELET J, 1995, NATURE, V377, P296, DOI 10.1038/377296a0
Vacelet J, 2002, CAH BIOL MAR, V43, P141
Verberkmoes NC, 2009, ISME J, V3, P179, DOI 10.1038/ismej.2008.108
Wang JT, 1998, J EXP BIOL, V201, P2445
Webster NS, 2008, ISME J, V2, P830, DOI 10.1038/ismej.2008.42
Webster NS, 2007, ENVIRON MICROBIOL, V9, P1363, DOI 10.1111/j.1462-2920.2007.01303.x
Webster NS, 2010, ENVIRON MICROBIOL, V12, P2070, DOI 10.1111/j.1462-2920.2009.02065.x
Weinberg MV, 2004, J BACTERIOL, V186, P7888, DOI 10.1128/JB.186.23.7888-7895.2004
Weisz JB, 2007, MAR BIOL, V152, P475, DOI 10.1007/s00227-007-0708-y
WILKINSON CR, 1983, SCIENCE, V219, P410, DOI 10.1126/science.219.4583.410
Wilson MC, 2014, NATURE, V506, P58, DOI 10.1038/nature12959
Yahel G, 2003, LIMNOL OCEANOGR, V48, P141, DOI 10.4319/lo.2003.48.1.0141
Yu K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038183
NR 91
TC 54
Z9 60
PD DEC
PY 2014
VL 16
IS 12
SI SI
BP 3683
EP 3698
DI 10.1111/1462-2920.12533
UT WOS:000348463100007
DA 2025-07-30
ER
PT J
AU West, NJ
Landa, M
Obernosterer, I
AF West, Nyree J.
Landa, Marine
Obernosterer, Ingrid
TI Differential association of key bacterial groups with diatoms and
Phaeocystis spp. during spring blooms in the Southern Ocean
SO MICROBIOLOGYOPEN
DT Article
AB Interactions between phytoplankton and heterotrophic bacteria significantly influence the cycling of organic carbon in the ocean, with many of these interactions occurring at the micrometer scale. We explored potential associations between specific phytoplankton and bacteria in two size fractions, 0.8-3 mu m and larger than 3 mu m, at three naturally iron-fertilized stations and one high nutrient low chlorophyll station in the Southern Ocean. The composition of phytoplankton and bacterial communities was determined by sequencing the rbcL gene and 16S rRNA gene from DNA and RNA extracts, which represent presence and potential activity, respectively. Diatoms, particularly Thalassiosira, contributed significantly to the DNA sequences in the larger size fractions, while haptophytes were dominant in the smaller size fraction. Correlation analysis between the most abundant phytoplankton and bacterial operational taxonomic units revealed strong correlations between Phaeocystis and picoeukaryotes with SAR11, SAR116, Magnetospira, and Planktomarina. In contrast, most Thalassiosira operational taxonomic units showed the highest correlations with Polaribacter, Sulfitobacteria, Erythrobacter, and Sphingobium, while Fragilariopsis, Haslea, and Thalassionema were correlated with OM60, Fluviicola, and Ulvibacter. Our in-situ observations suggest distinct associations between phytoplankton and bacterial taxa, which could play crucial roles in nutrient cycling in the Southern Ocean.
C1 [West, Nyree J.] Sorbonne Univ, CNRS, Observ Oceanol Banyuls OOB, FR3724, Banyuls Sur Mer, France.
[Landa, Marine; Obernosterer, Ingrid] Sorbonne Univ, CNRS, Lab Oceanog Microbienne, LOMIC, Banyuls Sur Mer, France.
RP West, NJ (corresponding author), Observ Oceanol Banyuls Sur Mer, F-66650 Banyuls Sur Mer, France.
EM nyree.west@obs-banyuls.fr
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V53, P379, DOI 10.1016/j.femsec.2005.01.008
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Andrew S, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00181-w
Arandia-Gorostidi N, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.901201
BELL W, 1972, BIOL BULL, V143, P265, DOI 10.2307/1540052
Bhadury P, 2009, J PHYCOL, V45, P1335, DOI 10.1111/j.1529-8817.2009.00766.x
Biggs TEG, 2019, POLAR BIOL, V42, P1997, DOI 10.1007/s00300-019-02576-3
Bird C, 2017, BIOGEOSCIENCES, V14, P901, DOI 10.5194/bg-14-901-2017
Blain S, 2015, BIOGEOSCIENCES, V12, P623, DOI 10.5194/bg-12-623-2015
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Blain S, 2021, LIMNOL OCEANOGR, V66, P753, DOI 10.1002/lno.11638
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Bokulich NA, 2013, NAT METHODS, V10, P57, DOI [10.1038/NMETH.2276, 10.1038/nmeth.2276]
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2021, ENVIRON MICROBIOL, V23, P3130, DOI 10.1111/1462-2920.15536
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Christaki U, 2021, LIMNOL OCEANOGR, V66, P108, DOI 10.1002/lno.11591
Chun H, 2010, J R STAT SOC B, V72, P3, DOI 10.1111/j.1467-9868.2009.00723.x
Cirri E, 2019, NEW PHYTOL, V223, P100, DOI 10.1111/nph.15765
Costas-Selas C, 2024, MAR ENVIRON RES, V193, DOI 10.1016/j.marenvres.2023.106262
Coyne KJ, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.871177
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
d'Ovidio F, 2015, BIOGEOSCIENCES, V12, P5567, DOI 10.5194/bg-12-5567-2015
Davidson AT, 2010, DEEP-SEA RES PT II, V57, P828, DOI 10.1016/j.dsr2.2009.02.011
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
Denef VJ, 2016, FRONT MICROBIOL, V7, DOI [10.3389/fmicb.2076.00606, 10.3389/fmicb.2016.00606]
Dinasquet J, 2022, ENV MICROBIOL REP, V14, P907, DOI 10.1111/1758-2229.13117
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Durham BP, 2015, P NATL ACAD SCI USA, V112, P453, DOI 10.1073/pnas.1413137112
Eddy TD, 2021, TRENDS ECOL EVOL, V36, P76, DOI 10.1016/j.tree.2020.09.006
Edgar RC, 2016, bioRxiv, P1, DOI 10.1101/081257
Edgar RC, 2015, BIOINFORMATICS, V31, P3476, DOI 10.1093/bioinformatics/btv401
Evans KM, 2007, PROTIST, V158, P349, DOI 10.1016/j.protis.2007.04.001
Faircloth BC, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042543
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Foster RA, 2006, J PHYCOL, V42, P453, DOI 10.1111/j.1529-8817.2006.00206.x
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gavriilidou A, 2020, BMC GENOMICS, V21, DOI 10.1186/s12864-020-06971-7
Georges C, 2014, BIOGEOSCIENCES, V11, P5847, DOI 10.5194/bg-11-5847-2014
Hernandez-Magana AE, 2021, J MARINE SYST, V221, DOI 10.1016/j.jmarsys.2021.103561
Heywood JL, 2011, ISME J, V5, P674, DOI 10.1038/ismej.2010.155
Hunt BPV, 2021, J MARINE SYST, V224, DOI 10.1016/j.jmarsys.2021.103625
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Irion S, 2021, ISME J, V15, P2509, DOI 10.1038/s41396-021-00915-z
Jost L, 2006, OIKOS, V113, P363, DOI 10.1111/j.2006.0030-1299.14714.x
Kappelmann L, 2019, ISME J, V13, P76, DOI 10.1038/s41396-018-0242-6
Karlusich JJP, 2023, MOL ECOL RESOUR, V23, P16, DOI 10.1111/1755-0998.13592
KELLER MD, 1989, ACS SYM SER, V393, P167
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Krumhardt KM, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.916140
Lambert S, 2019, ISME J, V13, P388, DOI 10.1038/s41396-018-0281-z
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lasbleiz M, 2014, BIOGEOSCIENCES, V11, P5931, DOI 10.5194/bg-11-5931-2014
Lasbleiz M, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw171
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Liu Y, 2019, ENVIRON MICROBIOL, V21, P1452, DOI 10.1111/1462-2920.14579
Luddington IA, 2016, J PLANKTON RES, V38, P781, DOI 10.1093/plankt/fbw030
Marchetti A, 2012, P NATL ACAD SCI USA, V109, pE317, DOI 10.1073/pnas.1118408109
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
McParland EL, 2019, LIMNOL OCEANOGR, V64, P757, DOI 10.1002/lno.11076
Mestre M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01590
Mestre M, 2018, P NATL ACAD SCI USA, V115, pE6799, DOI 10.1073/pnas.1802470115
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Moline MA, 2004, GLOBAL CHANGE BIOL, V10, P1973, DOI 10.1111/j.1365-2486.2004.00825.x
Mühlenbruch M, 2018, ENVIRON MICROBIOL, V20, P2671, DOI 10.1111/1462-2920.14302
Needham DM, 2018, ISME J, V12, P2417, DOI 10.1038/s41396-018-0169-y
O'Brien J, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00099-3
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Park YH, 2014, J GEOPHYS RES-OCEANS, V119, P6575, DOI 10.1002/2014JC010061
Pollard R, 2007, DEEP-SEA RES PT II, V54, P1905, DOI 10.1016/j.dsr2.2007.07.023
Poulton AJ, 2007, DEEP-SEA RES PT II, V54, P2085, DOI 10.1016/j.dsr2.2007.06.005
Quéguiner B, 2013, DEEP-SEA RES PT II, V90, P43, DOI 10.1016/j.dsr2.2012.07.024
Quéroué F, 2015, BIOGEOSCIENCES, V12, P3869, DOI 10.5194/bg-12-3869-2015
Rohart F, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005752
Salazar G, 2015, MOL ECOL, V24, P5692, DOI 10.1111/mec.13419
Salter I, 2007, DEEP-SEA RES PT II, V54, P2233, DOI 10.1016/j.dsr2.2007.06.008
Sarthou G, 2005, J SEA RES, V53, P25, DOI 10.1016/j.seares.2004.01.007
Schine CMS, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21339-5
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shi XL, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018979
Tabita FR, 2008, J EXP BOT, V59, P1515, DOI 10.1093/jxb/erm361
Tran DQ, 2023, ENVIRON MICROBIOL, V25, P3536, DOI 10.1111/1462-2920.16506
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vaulot D, 2022, MOL ECOL RESOUR, V22, P3188, DOI 10.1111/1755-0998.13674
Wawrik B, 2003, MAR ECOL PROG SER, V251, P87, DOI 10.3354/meps251087
Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
West NJ, 2018, PEERJ, V6, DOI 10.7717/peerj.5208
Worms Editorial Board, 2024, VLIZ
Wright SW, 2010, DEEP-SEA RES PT II, V57, P758, DOI 10.1016/j.dsr2.2009.06.015
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yung CM, 2016, APPL ENVIRON MICROB, V82, P3431, DOI 10.1128/AEM.00395-16
Zhu F, 2005, FEMS MICROBIOL ECOL, V52, P79, DOI 10.1016/j.femsec.2004.10.006
NR 101
TC 2
Z9 2
PD AUG
PY 2024
VL 13
IS 4
AR e1428
DI 10.1002/mbo3.1428
UT WOS:001287508700001
DA 2025-07-30
ER
PT J
AU Liu, YY
Lin, Q
Feng, JR
Yang, FM
Du, H
Hu, Z
Wang, H
AF Liu, Yanyang
Lin, Qun
Feng, Jiarong
Yang, Fumin
Du, Hong
Hu, Zhong
Wang, Hui
TI Differences in metabolic potential between particle -associated and
free- living bacteria along Pearl River Estuary
SO SCIENCE OF THE TOTAL ENVIRONMENT
DT Article
AB Particulate organic matter (POM) in aquatic ecosystem is critical for biogeochemical cycling and host distinct communities of microbes, compared to its surrounding water. In this study, the structures and functional potentials of microbial communities associated with particles or free-living in water samples from the Pearl River Estuary were investigated using 16S rRNA gene sequencing and GeoChip 5.0 analysis. Significant differences in the community structure and genetic functional potentials between particle-associated bacteria and free-living bacteria were observed across all eight sampling sites. In particle-associated bacteria communities, Rhodobacteraceae and Flavobacteriaceae were more abundant, while SAR11 clade and SAR86 clade were the most abundant in free-living bacteria communities. The richness and abundance of functional genes involved in nutrient cycling and stress response, including carbon degradation, nitrogen fixation, DMSP degradation, and polyphosphate degradation, were much higher in particle-associated bacteria compared with free-living bacteria. Thus, the particle-associated bacteria seem to play a much more important role in the biogeochemical cycles than free-living bacteria. In conclusion, the results from this study highlight the central role played by particle-associated bacteria in structuring microbial assemblages, and their importance for mediating biogeochemical cycling in the estuarine ecosystem.
C1 [Liu, Yanyang; Lin, Qun; Feng, Jiarong; Yang, Fumin; Du, Hong; Hu, Zhong; Wang, Hui] Shantou Univ, Coll Sci, Biol Dept, Shantou 515063, Peoples R China.
[Liu, Yanyang; Lin, Qun; Feng, Jiarong; Yang, Fumin; Du, Hong; Hu, Zhong; Wang, Hui] Shantou Univ, Inst Marine Sci, Shantou 515063, Peoples R China.
[Liu, Yanyang; Lin, Qun; Feng, Jiarong; Yang, Fumin; Du, Hong; Hu, Zhong; Wang, Hui] Shantou Univ, Guangdong Prov Key Lab Marine Biotechnol, Shantou 515063, Peoples R China.
RP Wang, H (corresponding author), Shantou Univ, Coll Sci, Biol Dept, Shantou 515063, Peoples R China.
EM wanghui@stu.edu.cn
CR Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Azam F, 2001, NATURE, V414, P495, DOI 10.1038/35107174
Bizic-Ionescu M, 2015, ENVIRON MICROBIOL, V17, P3500, DOI 10.1111/1462-2920.12466
Boeuf D, 2019, P NATL ACAD SCI USA, V116, P11824, DOI 10.1073/pnas.1903080116
Cai HY, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102879
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chen LG, 2019, SCI TOTAL ENVIRON, V660, P136, DOI 10.1016/j.scitotenv.2018.12.480
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
de Chaves MG, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01680
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edwards BR, 2015, P NATL ACAD SCI USA, V112, P5909, DOI 10.1073/pnas.1422664112
Farnelid H, 2019, ISME J, V13, P170, DOI 10.1038/s41396-018-0259-x
Fontanez KM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00469
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
He ZL, 2007, ISME J, V1, P67, DOI 10.1038/ismej.2007.2
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Landa M, 2017, ISME J, V11, P2677, DOI 10.1038/ismej.2017.117
Li JL, 2018, MICROB ECOL, V76, P637, DOI 10.1007/s00248-018-1174-4
López-Pérez M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00996
Mai YZ, 2018, MAR POLLUT BULL, V136, P309, DOI 10.1016/j.marpolbul.2018.09.013
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Needham DM, 2018, ISME J, V12, P2417, DOI 10.1038/s41396-018-0169-y
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ramanan R, 2016, BIOTECHNOL ADV, V34, P14, DOI 10.1016/j.biotechadv.2015.12.003
Riemann L, 2001, MICROB ECOL, V42, P274, DOI 10.1007/s00248-001-0018-8
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Simon HM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00466
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Smith MW, 2013, FRONT MICROBIOL, V4, DOI [10.3389/fmicb.2013.00120, 10.3389/fpls.2013.00486]
Smith M, 2019, NPJ MAT DEGRAD, V3, DOI 10.1038/s41529-019-0099-9
Sohm JA, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00229
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Turk-Kubo KA, 2017, J PHYCOL, V53, P451, DOI 10.1111/jpy.12505
Van Nostrand JD, 2016, METHODS MOL BIOL, V1399, P183, DOI 10.1007/978-1-4939-3369-3_11
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Webb EA, 2009, ENVIRON MICROBIOL, V11, P338, DOI 10.1111/j.1462-2920.2008.01771.x
Wei W, 2018, SCI TOTAL ENVIRON, V633, P796, DOI 10.1016/j.scitotenv.2018.03.219
Wu JP, 2016, SCI REP-UK, V6, DOI 10.1038/srep20165
Wu M., 2016, SCI REP-UK, V24, P841
Yang JJ, 2018, SCI TOTAL ENVIRON, V628-629, P94, DOI 10.1016/j.scitotenv.2018.02.007
Zhang Y, 2016, J GEOPHYS RES-BIOGEO, V121, P2261, DOI 10.1002/2016JG003390
Zhu JM, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02503
NR 50
TC 48
Z9 51
PD AUG 1
PY 2020
VL 728
AR 138856
DI 10.1016/j.scitotenv.2020.138856
UT WOS:000541009200012
DA 2025-07-30
ER
PT J
AU Huanca-Valenzuela, P
Fuchsman, CA
Tully, BJ
Sylvan, JB
Cram, JA
AF Huanca-Valenzuela, Paulina
Fuchsman, Clara A.
Tully, Benjamin J.
Sylvan, Jason B.
Cram, Jacob A.
TI Quantitative microbial taxonomy across particle size, depth, and oxygen
concentration
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Introduction Marine particles form in the ocean surface sink through the water column into the deep ocean, sequestering carbon. Microorganisms inhabit and consume carbon in these particles. The East Pacific Rise (EPR) harbors both an Oxygen Deficient Zone (ODZ) and a non-buoyant plume region formed from hydrothermal vents located on the ocean floor, allowing us to explore relationships between microbial community and particle size between a range of environments. Methods In this study, we quantified microbial diversity using a fractionation method that separated particles into seven fine scale fractions (0.2-1.2, 1.2-5, 5-20, 20-53, 53-180,180-500, >500 mu m), and included a spike-in standard for sequencing the 16S rRNA gene. Size fractionated organic carbon into the same fractions enabled the calculation of bacterial 16S rRNA copies per mu g C and per liter. Results There was a large increase in the bacterial 16S rRNA copies/ug C and copies/L on particles >180 mu m between the upper water column and the deep water column. Though the total concentration of organic C in particles decreased in the deep water column, the density of bacteria on large particles increased at depth. The microbial community varied statistically significantly as a function of particle size and depth. Quantitative abundance estimates found that ostensibly obligate free-living microbes, such as SAR11 and Thaumarcheota, were more abundant in the free-living fraction but also common and abundant in the particulate size fractions. Conversely, ostensibly obligate particle attached bacteria such as members of Bacteroidetes and Planctomycetes, while most abundant on particles, were also present in the free living fraction. Total bacterial abundance, and the abundance of many taxonomic groups, increased in the ODZ region, particularly in the free-living fraction. Contrastingly, in the non-buoyant plume, there were highly abundant bacteria in the 5-20 and 20-53 mu m fractions but reduced bacteria present in the 53-180 and 180-500 mu m fractions. Conclusion Quantitative examination of microbial communities highlights the distribution of microbial taxa unburdened by compositional effects. These data are congruent with existing models which suggest high levels of exchange between particle-attached and free-living communities.
C1 [Huanca-Valenzuela, Paulina; Fuchsman, Clara A.; Cram, Jacob A.] Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.
[Tully, Benjamin J.] Univ Southern Calif, Ctr Dark Energy Biosphere Invest, Los Angeles, CA USA.
[Tully, Benjamin J.] Branchpoint Sci, Los Angeles, CA USA.
[Sylvan, Jason B.] Texas A&M Univ, Dept Oceanog, College Stn, TX USA.
RP Cram, JA (corresponding author), Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.
EM jcram@umces.edu
CR Abramson L, 2010, LIMNOL OCEANOGR, V55, P725, DOI 10.4319/lo.2009.55.2.0725
Alldredge A, 1998, DEEP-SEA RES PT I, V45, P529, DOI 10.1016/S0967-0637(97)00048-4
ALTABET MA, 1988, DEEP-SEA RES, V35, P535, DOI 10.1016/0198-0149(88)90130-6
Amano C, 2022, NAT GEOSCI, V15, P1041, DOI 10.1038/s41561-022-01081-3
[Anonymous], **DATA OBJECT**, DOI 10.26008/1912/bco-dmo.948709.1
[Anonymous], **DATA OBJECT**, DOI 10.6084/m9.figshare.28887038.v1
Babbin AR, 2014, SCIENCE, V344, P406, DOI 10.1126/science.1248364
Banse K, 2017, DEEP-SEA RES PT I, V127, P111, DOI 10.1016/j.dsr.2017.07.004
Bertagnolli AD, 2020, ENV MICROBIOL REP, V12, P681, DOI 10.1111/1758-2229.12879
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
Bizic-Ionescu M, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02569
Boeuf D, 2019, P NATL ACAD SCI USA, V116, P11824, DOI 10.1073/pnas.1903080116
Boshier FAT, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00777-19
Bristow LA, 2017, NAT GEOSCI, V10, P24, DOI [10.1038/NGEO2847, 10.1038/ngeo2847]
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cavan EL, 2018, J GEOPHYS RES-BIOGEO, V123, P2198, DOI 10.1029/2018JG004392
Chang BX, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004207
Clegg S. L., 1990, Part Oceanogr. Res. Pap, V37, P809, DOI [10.1016/0198-0149(90)90008-J, DOI 10.1016/0198-0149(90)90008-J]
Cram JA, 2024, ENVIRON MICROBIOL, V26, DOI 10.1111/1462-2920.16557
Cram JA, 2022, GLOBAL BIOGEOCHEM CY, V36, DOI 10.1029/2021GB007080
Cram JA, 2018, GLOBAL BIOGEOCHEM CY, V32, P858, DOI 10.1029/2017GB005710
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Dalsgaard T, 2014, MBIO, V5, DOI 10.1128/mBio.01966-14
Dalsgaard T, 2012, LIMNOL OCEANOGR, V57, P1331, DOI 10.4319/lo.2012.57.5.1331
Datta MS, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11965
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DeVries T, 2013, BIOGEOSCIENCES, V10, P2481, DOI 10.5194/bg-10-2481-2013
Dick GJ, 2019, NAT REV MICROBIOL, V17, P271, DOI 10.1038/s41579-019-0160-2
Dougherty EC, 2025, ESTUAR COAST, V48, DOI 10.1007/s12237-024-01464-2
Durkin CA, 2022, ISME J, V16, P1896, DOI 10.1038/s41396-022-01239-2
Durkin CA, 2015, MAR CHEM, V175, P72, DOI 10.1016/j.marchem.2015.02.011
Eloe EA, 2011, ENV MICROBIOL REP, V3, P449, DOI 10.1111/j.1758-2229.2010.00223.x
Espejo RT, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01232
Evans N, 2023, GLOBAL BIOGEOCHEM CY, V37, DOI 10.1029/2022GB007575
Fu SZ, 2023, IMETA, V2, DOI 10.1002/imt2.77
Fuchsman C. A., 2024, ESS Open Arch, DOI [10.22541/essoar.173046855.50289201/v1, DOI 10.22541/ESSOAR.173046855.50289201/V1]
Fuchsman CA, 2019, ISME J, V13, P2714, DOI 10.1038/s41396-019-0452-6
Fuchsman CA, 2019, GLOBAL BIOGEOCHEM CY, V33, P143, DOI 10.1029/2018GB006032
Fuchsman CA, 2018, DEEP-SEA RES PT II, V156, P137, DOI 10.1016/j.dsr2.2017.12.013
Fuchsman CA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02384
Fuchsman CA, 2012, FEMS MICROBIOL ECOL, V80, P402, DOI 10.1111/j.1574-6941.2012.01306.x
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Fuerst JA, 2011, NAT REV MICROBIOL, V9, P403, DOI 10.1038/nrmicro2578
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gloor GB, 2016, ANN EPIDEMIOL, V26, P322, DOI 10.1016/j.annepidem.2016.03.003
Guidi L, 2009, LIMNOL OCEANOGR, V54, P1951, DOI 10.4319/lo.2009.54.6.1951
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Ijichi M, 2019, ARCH MICROBIOL, V201, P1141, DOI 10.1007/s00203-019-01680-6
Ito T, 2017, GEOPHYS RES LETT, V44, P4214, DOI 10.1002/2017GL073613
Jin X, 2006, GLOBAL BIOGEOCHEM CY, V20, DOI 10.1029/2005GB002532
Jones-Kellett AE, 2024, ISME COMMUN, V4, DOI 10.1093/ismeco/ycae115
Keil RG, 2016, BIOGEOSCIENCES, V13, P2077, DOI 10.5194/bg-13-2077-2016
Kellogg CTE, 2009, AQUAT MICROB ECOL, V57, P1, DOI 10.3354/ame01317
Kondo Y, 2013, DEEP-SEA RES PT I, V73, P73, DOI 10.1016/j.dsr.2012.11.014
Kwiecinski JV, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2021GB007001
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Le Moigne FAC, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00634
LeCleir GR, 2014, FEMS MICROBIOL ECOL, V87, P153, DOI 10.1111/1574-6941.12213
Leu AO, 2022, MBIO, V13, DOI 10.1128/mbio.01569-22
Leung SW, 2021, BIOGEOSCIENCES, V18, P229, DOI 10.5194/bg-18-229-2021
Li JT, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.581381
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
McAllister SM, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz015
McNichol J, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00565-21
Mestre M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01590
Mestre M, 2018, P NATL ACAD SCI USA, V115, pE6799, DOI 10.1073/pnas.1802470115
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Mislan KAS, 2014, J MAR RES, V72, P183, DOI 10.1357/002224014814901985
Nguyen RT, 1997, ORG GEOCHEM, V27, P115, DOI 10.1016/S0146-6380(97)00076-4
Nguyen TTH, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-29297-2
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Peters B, 2018, DEEP-SEA RES PT II, V156, P121, DOI 10.1016/j.dsr2.2018.02.011
Ploug H, 1997, AQUAT MICROB ECOL, V13, P285, DOI 10.3354/ame013285
Poff KE, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018269118
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raven MR, 2021, SCIENCE, V371, P178, DOI 10.1126/science.abc6035
Reintjes G, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1051510
Revsbech NP, 2009, LIMNOL OCEANOGR-METH, V7, P371, DOI 10.4319/lom.2009.7.371
Santoro AE, 2017, LIMNOL OCEANOGR, V62, P1984, DOI 10.1002/lno.10547
Saunders JK, 2019, P NATL ACAD SCI USA, V116, P9925, DOI 10.1073/pnas.1818349116
Shelton AO, 2023, ECOLOGY, V104, DOI 10.1002/ecy.3906
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Stephens BM, 2024, ISME J, V18, DOI 10.1093/ismejo/wrad010
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Sun ZZ, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.658620
Suter EA, 2017, LIMNOL OCEANOGR, V62, P606, DOI 10.1002/lno.10447
Sylvan JB, 2012, GEOBIOLOGY, V10, P178, DOI 10.1111/j.1472-4669.2011.00315.x
Tamelander T, 2013, AQUAT MICROB ECOL, V69, P211, DOI 10.3354/ame01641
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Tourlousse DM, 2017, NUCLEIC ACIDS RES, V45, DOI 10.1093/nar/gkw984
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Van Mooy BAS, 2002, GEOCHIM COSMOCHIM AC, V66, P457, DOI 10.1016/S0016-7037(01)00787-6
Vedamati J, 2014, LIMNOL OCEANOGR, V59, P1945, DOI 10.4319/lo.2014.59.6.1945
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
WAKEHAM SG, 1988, J MAR RES, V46, P183, DOI 10.1357/002224088785113748
Wang S., 2021, Gradient internal standard method for absolute quantification of microbial amplicon sequencing data, V6, DOI [10.1128/mSystems.00964-20, DOI 10.1128/MSYSTEMS.00964-20]
Weber T, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00376
Yeh YC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-35551-4
Zhang IH, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00284-y
Zumft WG, 1997, MICROBIOL MOL BIOL R, V61, P533, DOI 10.1128/.61.4.533-616.1997
NR 103
TC 1
Z9 1
PD MAY 23
PY 2025
VL 16
AR 1552305
DI 10.3389/fmicb.2025.1552305
UT WOS:001504482600001
DA 2025-07-30
ER
PT J
AU McMullen, A
Martinez-Hernandez, F
Martinez-Garcia, M
AF McMullen, Africa
Martinez-Hernandez, Francisco
Martinez-Garcia, Manuel
TI Absolute quantification of infecting viral particles by chip-based
digital polymerase chain reaction
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB In silico and empirical quantification of viruses is paramount for obtaining information on viral populations that have a major impact on biogeochemical cycles. The uncultured Pelagibacter virus vSAG 37-F6 discovered via single-virus genomics is one of the most abundant and cosmopolitan marine viruses; however, little is understood about its temporal variation. Here, we estimated the absolute number of infecting 37-F6 viruses in coastal bacterioplankton from the Mediterranean Sea by using a novel, feasible SYBR Green I chip-based digital PCR (SYBR dPCR) technique, not implemented before for enumerating (uncultured) microbes. Quantitative SYBR dPCR estimated 450-3480 genome copies of virus 37-F6 in cells/mL (i.e. infecting viruses) and a total of approximate to 10-400 putative infected cells/mL with a potential C release of 0.12-4.9 pg/ml in the analysed samples. Considering that virus 37-F6 is ubiquitous and abundant in all Tara samples, an enormous amount of C could be transformed by this virus through the 'viral shunt'. Thus, this SYBR dPCR technique has enabled the absolute quantification of an ecologically relevant uncultured virus in nature and the estimation of its potential contribution on biogeochemical cycles. Overall, our study also shows that this approach has a broad applicability for quantifying any other target loci in Microbiology and Virology.
C1 [McMullen, Africa; Martinez-Hernandez, Francisco; Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
RP Martinez-Garcia, M (corresponding author), Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
EM m.martinez@ua.es
CR Allers E, 2013, ENVIRON MICROBIOL, V15, P2306, DOI 10.1111/1462-2920.12100
Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
Aylward FO, 2017, P NATL ACAD SCI USA, V114, P11446, DOI 10.1073/pnas.1714821114
Baker M., 2012, NAT METHODS, V2012, P96
Baran N, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0045-y
Brum JR, 2015, NAT REV MICROBIOL, V13, P147, DOI 10.1038/nrmicro3404
Burnham P, 2016, SCI REP-UK, V6, DOI 10.1038/srep27859
Danovaro R, 2011, FEMS MICROBIOL REV, V35, P993, DOI 10.1111/j.1574-6976.2010.00258.x
Eggleston EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01534
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Hindson BJ, 2011, ANAL CHEM, V83, P8604, DOI 10.1021/ac202028g
Luo E, 2017, MBIO, V8, DOI 10.1128/mBio.01903-17
Mahood TH, 2016, PEDIATR RES, V79, P766, DOI 10.1038/pr.2015.277
Martinez-Hernandez F, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01226
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Ottesen EA, 2006, SCIENCE, V314, P1464, DOI 10.1126/science.1131370
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Parada V, 2006, J MAR BIOL ASSOC UK, V86, P613, DOI 10.1017/S002531540601352X
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Vynck M, 2016, MOL DIAGN THER, V20, P437, DOI 10.1007/s40291-016-0224-1
Yoshida T, 2018, ISME J, V12, P1287, DOI 10.1038/s41396-018-0052-x
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 25
TC 7
Z9 7
PD DEC
PY 2019
VL 11
IS 6
BP 855
EP 860
DI 10.1111/1758-2229.12804
EA NOV 2019
UT WOS:000495561100001
DA 2025-07-30
ER
PT J
AU Park, JS
Han, J
Suh, SS
Kim, HJ
Lee, TK
Jung, SW
AF Park, Joon Sang
Han, Jeonghoon
Suh, Sung-Suk
Kim, Hyun-Jung
Lee, Taek-Kyun
Jung, Seung Won
TI Characterization of bacterial community structure in two alcyonacean
soft corals (Litophyton sp. and Sinularia sp.) from Chuuk,
Micronesia
SO CORAL REEFS
DT Article
AB Microbes in the coral holobiont play important roles in nitrogen fixation, carbon supply, antibiotic production, mucus recycling, and food supply to maintain homeostasis in corals. However, microbes can also induce coral diseases in response to environmental changes under non-optimal conditions. Therefore, studies of microbial communities are needed to understand the health statuses of corals in response to environmental changes. In this study, we performed 16S rDNA metabarcoding to investigate the bacterial communities in two healthy alcyonacean soft coral species (Sinularia sp. and Litophyton sp.) inhabiting the coast of Weno Island (Chuuk, Micronesia) and in ambient seawater. We identified 18 bacterial phyla, 24 classes, 54 orders, 109 families, and 222 genera associated with the two corals and seawater. The bacterial communities differed in the corals and seawater. The bacterial community in Sinularia sp. was dominated by the genus Spirochaeta in Spirochaetaceae (63.9% relative abundance), followed by Endozoicomonas (10%). In Litophyton sp., the bacterial community also contained Spirochaeta (19.5%) and Endozoicomonas (4.7%), although Cellvibrionaceae (23.7%) was dominant and other groups such as Rhizobiales (11.5%) and Rhodospirillales (8.7%) were evenly distributed. In ambient seawater, the predominant bacteria were Pelagibacter (29.2%), Rhodobacteraceae (15.5%), Prochlorococcus (11.3%), and Vibrio (5.8%), which are distinct from the species in the two coral species. The microbial communities between the two alcyonacean soft corals and seawater were different, and the microbial community differences were coral species-specific.
C1 [Park, Joon Sang; Kim, Hyun-Jung; Jung, Seung Won] Korea Inst Ocean Sci & Technol, Lib Marine Samples, Geoje 53201, South Korea.
[Han, Jeonghoon] Korea Inst Ocean Sci & Technol, Marine Biotechnol Res Ctr, Busan 49111, South Korea.
[Suh, Sung-Suk] Mokpo Natl Univ, Dept Biosci, Muan Gun 58554, South Korea.
[Lee, Taek-Kyun] Korea Inst Ocean Sci & Technol, Risk Assessment Res Ctr, Geoje 53201, South Korea.
[Lee, Taek-Kyun; Jung, Seung Won] Univ Sci & Technol, Dept Ocean Sci, Daejeon 34113, South Korea.
RP Jung, SW (corresponding author), Korea Inst Ocean Sci & Technol, Lib Marine Samples, Geoje 53201, South Korea.; Lee, TK (corresponding author), Korea Inst Ocean Sci & Technol, Risk Assessment Res Ctr, Geoje 53201, South Korea.; Lee, TK; Jung, SW (corresponding author), Univ Sci & Technol, Dept Ocean Sci, Daejeon 34113, South Korea.
EM tklee@kiost.ac.kr; diatoms@kiost.ac.kr
CR Abou El-Kassem LT, 2018, Z NATURFORSCH C, V73, P9, DOI 10.1515/znc-2017-0037
Ainsworth TD, 2015, ISME J, V9, P2261, DOI 10.1038/ismej.2015.39
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Apprill A, 2009, ISME J, V3, P685, DOI 10.1038/ismej.2009.3
Baker BJ, 2015, MICROBIOME, V3, DOI 10.1186/s40168-015-0077-6
Bang C, 2018, ZOOLOGY, V127, P1, DOI 10.1016/j.zool.2018.02.004
Barott KL, 2011, ENVIRON MICROBIOL, V13, P1192, DOI 10.1111/j.1462-2920.2010.02419.x
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Blackall LL, 2015, MOL ECOL, V24, P5330, DOI 10.1111/mec.13400
Bourne D.G., 2013, PROKARYOTES PROKARYO, P163, DOI DOI 10.1007/978-3-642-30123-0_
Brener-Raffalli K, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0423-6
Brito TL, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0200437
Brune A, 2014, NAT REV MICROBIOL, V12, P168, DOI 10.1038/nrmicro3182
Ceh J, 2011, FEMS MICROBIOL ECOL, V75, P134, DOI 10.1111/j.1574-6941.2010.00986.x
CHARON NW, 1992, RES MICROBIOL, V143, P597, DOI 10.1016/0923-2508(92)90117-7
Chen WT, 2012, ACTA PHARM SIN B, V2, P227, DOI 10.1016/j.apsb.2012.04.004
Clarke K.R., 2006, PRIMER V6 USER MANUA, P192
Closek CJ, 2014, ISME J, V8, P2411, DOI 10.1038/ismej.2014.85
Frias-Lopez J, 2002, APPL ENVIRON MICROB, V68, P2214, DOI 10.1128/AEM.68.5.2214-2228.2002
GBIF.org, 2020, GBIF HOM PAG
Gochfeld DJ, 2015, DIS AQUAT ORGAN, V116, P133, DOI 10.3354/dao02910
Gontcharova Viktoria, 2010, Open Microbiol J, V4, P47, DOI 10.2174/1874285801004010047
Gray MA, 2011, FEMS MICROBIOL ECOL, V76, P109, DOI 10.1111/j.1574-6941.2010.01033.x
Grote D, 2008, CHEM BIODIVERS, V5, P2449, DOI 10.1002/cbdv.200890210
Hall I., 2020, FEDERATED STATES MIC
Hernandez-Agreda A, 2016, MBIO, V7, DOI 10.1128/mBio.00560-16
Holm JB, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00917
Jung SW, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86590-8
Jung SW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25345-4
Jung SW, 2013, J APPL PHYCOL, V25, P41, DOI 10.1007/s10811-012-9836-y
Kang J, 2021, MOL ECOL, V30, P207, DOI 10.1111/mec.15714
Kellogg CA, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0697-3
Kellogg CA, 2009, APPL ENVIRON MICROB, V75, P2294, DOI 10.1128/AEM.02357-08
Kim HJ, 2016, MAR POLLUT BULL, V106, P139, DOI 10.1016/j.marpolbul.2016.03.015
Kimes NE, 2010, ENVIRON MICROBIOL, V12, P541, DOI 10.1111/j.1462-2920.2009.02113.x
Krediet CJ, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2328
Lawler SN, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00458
Lema KA, 2012, APPL ENVIRON MICROB, V78, P3136, DOI 10.1128/AEM.07800-11
Lesser MP, 2007, P NATL ACAD SCI USA, V104, P5259, DOI 10.1073/pnas.0700910104
Lesser MP, 2018, ISME J, V12, P813, DOI 10.1038/s41396-017-0008-6
Lesser MP, 2004, SCIENCE, V305, P997, DOI 10.1126/science.1099128
Lilburn TC, 2001, SCIENCE, V292, P2495, DOI 10.1126/science.1060281
Littman R, 2011, ENV MICROBIOL REP, V3, P651, DOI 10.1111/j.1758-2229.2010.00234.x
Lodwig EM, 2003, NATURE, V422, P722, DOI 10.1038/nature01527
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Lucena T, 2020, INT J SYST EVOL MICR, V70, P1231, DOI 10.1099/ijsem.0.003906
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morrow KM, 2012, APPL ENVIRON MICROB, V78, P6438, DOI 10.1128/AEM.01162-12
Mouchka ME, 2010, INTEGR COMP BIOL, V50, P662, DOI 10.1093/icb/icq061
Neave MJ, 2017, SCI REP-UK, V7, DOI 10.1038/srep40579
Neave MJ, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.00802-14
Ochsenkühn MA, 2018, COMMUN BIOL, V1, DOI 10.1038/s42003-018-0189-1
Oksanen J., 2010, Vegan: Community ecology package
Olson ND, 2013, ARCH MICROBIOL, V195, P853, DOI 10.1007/s00203-013-0937-z
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pernice M, 2020, ISME J, V14, P325, DOI 10.1038/s41396-019-0548-z
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rädecker N, 2015, TRENDS MICROBIOL, V23, P490, DOI 10.1016/j.tim.2015.03.008
Raina JB, 2013, NATURE, V502, P677, DOI 10.1038/nature12677
Raina JB, 2010, TRENDS MICROBIOL, V18, P101, DOI 10.1016/j.tim.2009.12.002
Raina JB, 2009, APPL ENVIRON MICROB, V75, P3492, DOI 10.1128/AEM.02567-08
Reshef L, 2006, ENVIRON MICROBIOL, V8, P2068, DOI 10.1111/j.1462-2920.2006.01148.x
Ritchie KB, 2006, MAR ECOL PROG SER, V322, P1, DOI 10.3354/meps322001
Robbins SJ, 2019, NAT MICROBIOL, V4, P2090, DOI 10.1038/s41564-019-0532-4
Roder C, 2014, MOL ECOL, V23, P965, DOI 10.1111/mec.12638
Rohwer F, 2002, MAR ECOL PROG SER, V243, P1, DOI 10.3354/meps243001
Rosales SM, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00681
Sansupa C, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11020688
Sekar R, 2008, MAR ECOL PROG SER, V362, P85, DOI 10.3354/meps07496
Shnit-Orland M, 2009, FEMS MICROBIOL ECOL, V67, P371, DOI 10.1111/j.1574-6941.2008.00644.x
Siboni N, 2008, ENVIRON MICROBIOL, V10, P2979, DOI 10.1111/j.1462-2920.2008.01718.x
Spring S, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00281
Suh SS, 2014, J MICROBIOL, V52, P834, DOI 10.1007/s12275-014-4287-6
Sunagawa S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009554
Sweet MJ, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.0094
Tandon K, 2020, ISME J, V14, P1290, DOI 10.1038/s41396-020-0610-x
Thompson JR, 2015, FRONT CELL INFECT MI, V4, DOI 10.3389/fcimb.2014.00176
Thurber RV, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0044246
Thurber RV, 2009, ENVIRON MICROBIOL, V11, P2148, DOI 10.1111/j.1462-2920.2009.01935.x
van de Water JAJM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0431-6
van de Water JAJM, 2016, SCI REP-UK, V6, DOI 10.1038/srep27277
Weber L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229442
Webster NS, 2017, ISME J, V11, P2167, DOI 10.1038/ismej.2017.66
Wiegel J.K.W., 2015, BERGEYS MANUAL SYST, P1
Wild C, 2004, NATURE, V428, P66, DOI 10.1038/nature02344
Wilson B, 2012, FEMS MICROBIOL ECOL, V80, P509, DOI 10.1111/j.1574-6941.2012.01319.x
Zhang YY, 2015, SCI REP-UK, V5, DOI 10.1038/srep16191
Ziegler M, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14213
NR 88
TC 5
Z9 6
PD JUN
PY 2022
VL 41
IS 3
SI SI
BP 563
EP 574
DI 10.1007/s00338-021-02176-w
EA SEP 2021
UT WOS:000695781300001
DA 2025-07-30
ER
PT J
AU Schuller, DJ
Reisch, CR
Moran, MA
Whitman, WB
Lanzilotta, WN
AF Schuller, David J.
Reisch, Chris R.
Moran, Mary Ann
Whitman, William B.
Lanzilotta, William N.
TI Structures of dimethylsulfoniopropionate-dependent demethylase from the
marine organism Pelagabacter ubique
SO PROTEIN SCIENCE
DT Article
AB Dimethylsulfoniopropionate (DMSP) is a ubiquitous algal metabolite and common carbon and sulfur source for marine bacteria. DMSP is a precursor for the climatically active gas dimethylsulfide that is readily oxidized to sulfate, sulfur dioxide, methanesulfonic acid, and other products that act as cloud condensation nuclei. Although the environmental importance of DMSP metabolism has been known for some time, the enzyme responsible for DMSP demethylation by marine bacterioplankton, dimethylsufoniopropionate-dependent demethylase A (DmdA, EC 2.1.1.B5), has only recently been identified and biochemically characterized. In this work, we report the structure for the apoenzyme DmdA from Pelagibacter ubique (2.1 angstrom), as well as for DmdA co-crystals soaked with substrate DMSP (1.6 angstrom) or the cofactor tetrahydrofolate (THF) (1.6 angstrom). Surprisingly, the overall fold of the DmdA is not similar to other enzymes that typically utilize the reduced form of THF and in fact is a triple domain structure similar to what has been observed for the glycine cleavage T protein or sarcosine oxidase. Specifically, while the THF binding fold appears conserved, previous biochemical studies have shown that all enzymes with a similar fold produce 5,10-methylene-THF, while DmdA catalyzes a redox-neutral methyl transfer reaction to produce 5-methyl-THF. On the basis of the findings presented herein and the available biochemical data, we outline a mechanism for a redox-neutral methyl transfer reaction that is novel to this conserved THF binding domain.
C1 [Schuller, David J.] Cornell Univ, Cornell High Energy Synchrotron Source, Ithaca, NY 14853 USA.
[Reisch, Chris R.; Whitman, William B.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Lanzilotta, William N.] Univ Georgia, Ctr Metalloenzyme Studies, Athens, GA 30602 USA.
[Lanzilotta, William N.] Univ Georgia, Dept Biochem & Mol Biol, Athens, GA 30602 USA.
RP Lanzilotta, WN (corresponding author), Green St,A220B Life Sci Bldg, Athens, GA 30605 USA.
EM wlanzilo@bmb.uga.edu
CR ANDREAE MO, 1983, SCIENCE, V221, P744, DOI 10.1126/science.221.4612.744
Archer SD, 2001, AQUAT MICROB ECOL, V24, P225, DOI 10.3354/ame024225
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Emsley P, 2010, ACTA CRYSTALLOGR D, V66, P486, DOI 10.1107/S0907444910007493
Georgieva P, 2009, BBA-PROTEINS PROTEOM, V1794, P1831, DOI 10.1016/j.bbapap.2009.08.022
HEGAZI MF, 1979, J AM CHEM SOC, V101, P4359, DOI 10.1021/ja00509a052
Huang Y, 2000, J MOL BIOL, V298, P149, DOI 10.1006/jmbi.2000.3637
Jansen M, 1998, ARCH MICROBIOL, V169, P84
KIENE RP, 1990, APPL ENVIRON MICROB, V56, P3292, DOI 10.1128/AEM.56.11.3292-3297.1990
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 1996, MAR CHEM, V54, P69, DOI 10.1016/0304-4203(96)00006-0
Lee HH, 2004, J BIOL CHEM, V279, P50514, DOI 10.1074/jbc.M409672200
Leys D, 2003, EMBO J, V22, P4038, DOI 10.1093/emboj/cdg395
Lokanath NK, 2001, ANAL SCI, V17, P565, DOI 10.2116/analsci.17.565
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Martin JL, 2001, STRUCTURE, V9, P977, DOI 10.1016/S0969-2126(01)00662-1
Mccoy AJ, 2007, J APPL CRYSTALLOGR, V40, P658, DOI 10.1107/S0021889807021206
MOTOKAWA Y, 1969, J BIOCHEM-TOKYO, V65, P71
Murshudov GN, 2011, ACTA CRYSTALLOGR D, V67, P355, DOI 10.1107/S0907444911001314
PERRIN CL, 1984, J AM CHEM SOC, V106, P2749, DOI 10.1021/ja00322a002
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Schubert HL, 2003, TRENDS BIOCHEM SCI, V28, P329, DOI 10.1016/S0968-0004(03)00090-2
Schuller DJ, 1996, ACTA CRYSTALLOGR D, V52, P425, DOI 10.1107/S0907444995013291
Scrutton NS, 2005, BIOCHEM SOC T, V33, P776, DOI 10.1042/BST0330776
Selhub J, 2002, J Nutr Health Aging, V6, P39
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
STEENKAMP DJ, 1982, BIOCHEM J, V203, P707, DOI 10.1042/bj2030707
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Trickey P, 1999, STRUCTURE, V7, P331, DOI 10.1016/S0969-2126(99)80043-4
Winn MD, 2011, ACTA CRYSTALLOGR D, V67, P235, DOI 10.1107/S0907444910045749
Wolfe GV, 1997, NATURE, V387, P894, DOI 10.1038/43168
WOODARD RW, 1980, J BIOL CHEM, V255, P9124
Zhang X, 2000, EMBO J, V19, P3509, DOI 10.1093/emboj/19.14.3509
NR 35
TC 24
Z9 27
PD FEB
PY 2012
VL 21
IS 2
BP 289
EP 298
DI 10.1002/pro.2015
UT WOS:000299209500014
DA 2025-07-30
ER
PT J
AU Hashihama, F
Suwa, S
Kanda, J
Ehama, M
Sakuraba, R
Kinouchi, S
Sato, M
Yamaguchi, T
Saito, H
Ogura, Y
Hayashi, T
Mori, H
Kurokawa, K
Suzuki, S
Hamasaki, K
AF Hashihama, Fuminori
Suwa, Shuhei
Kanda, Jota
Ehama, Makoto
Sakuraba, Ryousuke
Kinouchi, Shinko
Sato, Mitsuhide
Yamaguchi, Tamaha
Saito, Hiroaki
Ogura, Yoshitoshi
Hayashi, Tetsuya
Mori, Hiroshi
Kurokawa, Ken
Suzuki, Shotaro
Hamasaki, Koji
TI Arsenate and microbial dynamics in different phosphorus regimes of the
subtropical Pacific Ocean
SO PROGRESS IN OCEANOGRAPHY
DT Article
AB Biologically toxic arsenate is physicochemically similar to biologically essential phosphate. Because arsenate and phosphate are indiscriminately incorporated by microbes, their ambient concentration ratios can be an important factor controlling microbial growth and metabolism. This study investigated the spatial distributions of arsenate and phosphate and the associated biogeochemical dynamics in the subtropical North and South Pacific Ocean. Vertical arsenate and phosphate profiles (<= 150 m) in most of the study areas showed a nutrient-type distribution where the concentrations increased below the euphotic zone. The arsenate and phosphate concentrations in the surface waters ranged from the detection limits (5 nM and 4 nM, respectively) to approximately 40 nM and 400 nM, respectively. The surface arsenate:phosphate ratios were typically lower than 1, but those in the western subtropical North Pacific (WSNP) were frequently higher than 1 due to phosphate depletion. In the WSNP surface waters, Prochlorococcus and Pelagibacter arsenic detoxification and phosphorus acquisition genes were abundant. Results of the onboard bioassays involving the addition of arsenate or phosphate to the surface water indicated that microbes throughout the study areas possessed arsenate resistance and those in the WSNP during summer were under serious phosphate limitation. Although phosphate limitation likely accelerates the relative cellular accumulation of toxic arsenate, the lowest particulate As:P ratios were observed in the summer WSNP, concurrent with the lowest dissolved organic P (DOP) concentrations and the highest alkaline phosphatase activities. These results imply that active As excretion and/or DOP utilization could alleviate As accumulation while maintaining the cellular P quota.
C1 [Hashihama, Fuminori; Suwa, Shuhei; Kanda, Jota; Ehama, Makoto; Sakuraba, Ryousuke; Kinouchi, Shinko] Tokyo Univ Marine Sci & Technol, Dept Ocean Sci, Tokyo 1088477, Japan.
[Sato, Mitsuhide; Yamaguchi, Tamaha] Univ Tokyo, Grad Sch Agr & Life Sci, Dept Aquat Biosci, Tokyo 1138657, Japan.
[Saito, Hiroaki; Suzuki, Shotaro; Hamasaki, Koji] Univ Tokyo, Atmosphere & Ocean Res Inst, Chiba 2778564, Japan.
[Ogura, Yoshitoshi; Hayashi, Tetsuya] Kyushu Univ, Dept Bacteriol, Fac Med Sci, Fukuoka, Fukuoka 8128582, Japan.
[Mori, Hiroshi; Kurokawa, Ken] Natl Inst Genet, Ctr Informat Biol, Shizuoka 4118540, Japan.
RP Hashihama, F (corresponding author), Tokyo Univ Marine Sci & Technol, Dept Ocean Sci, Tokyo 1088477, Japan.
EM f-hashi@kaiyodai.ac.jp
CR ANDREAE MO, 1977, ANAL CHEM, V49, P820, DOI 10.1021/ac50014a037
ANDREAE MO, 1978, DEEP-SEA RES, V25, P391, DOI 10.1016/0146-6291(78)90565-9
ANDREAE MO, 1979, ENVIRON SCI TECHNOL, V13, P738, DOI 10.1021/es60154a001
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Cutter GA, 2006, GEOCHEM GEOPHY GEOSY, V7, DOI 10.1029/2005GC001159
CUTTER GA, 1995, MAR CHEM, V49, P295, DOI 10.1016/0304-4203(95)00019-N
Cutter GA, 1998, MAR CHEM, V61, P25, DOI 10.1016/S0304-4203(98)00005-X
Cutter GA, 2001, DEEP-SEA RES PT II, V48, P2895, DOI 10.1016/S0967-0645(01)00023-6
CUTTER LS, 1991, ANAL CHEM, V63, P1138, DOI 10.1021/ac00011a015
de Boyer Montégut C, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002378
Duncan EG, 2013, MAR CHEM, V157, P78, DOI 10.1016/j.marchem.2013.08.004
Dyhrman ST, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00214
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Ellwood MJ, 2002, DEEP-SEA RES PT I, V49, P1971, DOI 10.1016/S0967-0637(02)00115-2
Featherstone AM, 2001, J GEOPHYS RES-OCEANS, V106, P31657, DOI 10.1029/2000JC000326
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
HAMA T, 1983, MAR BIOL, V73, P31, DOI 10.1007/BF00396282
Hashihama F, 2017, J OCEANOGR, V73, P439, DOI 10.1007/s10872-017-0412-6
Hashihama F, 2013, J OCEANOGR, V69, P357, DOI 10.1007/s10872-013-0178-4
Hashihama F, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036866
Hellweger FL, 2003, LIMNOL OCEANOGR, V48, P2275
Henke K., 2009, ARSENIC ENV CHEM HLT
Hewson I, 2009, ISME J, V3, P1286, DOI 10.1038/ismej.2009.75
Hoppe HG, 2003, HYDROBIOLOGIA, V493, P187, DOI 10.1023/A:1025453918247
HUBER AL, 1984, HYDROBIOLOGIA, V111, P3, DOI 10.1007/BF00007374
JOHNSON DL, 1971, ENVIRON SCI TECHNOL, V5, P411, DOI 10.1021/es60052a005
JOHNSON DL, 1972, NATURE, V240, P44, DOI 10.1038/240044a0
Karadjova IB, 2008, AQUAT TOXICOL, V87, P264, DOI 10.1016/j.aquatox.2008.02.006
Karl DM, 1997, MAR CHEM, V56, P77, DOI 10.1016/S0304-4203(96)00081-3
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lee CP, 2017, LIMNOL OCEANOGR, V62, P2200, DOI 10.1002/lno.10560
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Moutin T, 2008, BIOGEOSCIENCES, V5, P95, DOI 10.5194/bg-5-95-2008
Neff JM, 1997, ENVIRON TOXICOL CHEM, V16, P917, DOI 10.1002/etc.5620160511
Oremland RS, 2003, SCIENCE, V300, P939, DOI 10.1126/science.1081903
Ren JL, 2010, DEEP-SEA RES PT II, V57, P1035, DOI 10.1016/j.dsr2.2010.02.005
Rosen BP, 2002, FEBS LETT, V529, P86, DOI 10.1016/S0014-5793(02)03186-1
SANDERS JG, 1979, J PHYCOL, V15, P424
Sato M, 2013, BIOGEOSCIENCES, V10, P7677, DOI 10.5194/bg-10-7677-2013
Sato M, 2010, AQUAT MICROB ECOL, V59, P273, DOI 10.3354/ame01397
Saunders JK, 2016, ISME J, V10, P197, DOI 10.1038/ismej.2015.85
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
SUZUKI R, 1990, Journal of the Oceanographical Society of Japan, V46, P190, DOI 10.1007/BF02125580
Suzuki S, 2017, J OCEANOGR, V73, P383, DOI 10.1007/s10872-016-0410-0
Suzumura M, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00099
Suzumura M, 2008, LIMNOL OCEANOGR-METH, V6, P619, DOI 10.4319/lom.2008.6.619
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Wurl O, 2015, DEEP-SEA RES PT II, V116, P240, DOI 10.1016/j.dsr2.2014.11.008
Wurl O, 2013, LIMNOL OCEANOGR, V58, P729, DOI 10.4319/lo.2013.58.2.0729
NR 51
TC 12
Z9 13
PD SEP
PY 2019
VL 176
AR 102115
DI 10.1016/j.pocean.2019.05.007
UT WOS:000483411800005
DA 2025-07-30
ER
PT J
AU Choi, DH
An, SM
Yang, EC
Lee, H
Shim, J
Jeong, J
Noh, JH
AF Choi, Dong Han
An, Sung Min
Yang, Eun Chan
Lee, Howon
Shim, JaeSeol
Jeong, JinYong
Noh, Jae Hoon
TI Daily variation in the prokaryotic community during a spring bloom in
shelf waters of the East China Sea
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB To understand prokaryotic responses during a spring bloom in offshore shelf waters, prokaryotic parameters were measured daily at a station located in the middle of the East China Sea over a six-week period from March 25 to May 19. The site experienced a phytoplankton bloom in late April, triggering changes in prokaryotic abundance and production after a lag of approximately one week. Before the bloom, changes in prokaryotic composition were small. Both during the bloom and in the post-bloom period, successive changes among bacterial groups were apparent. A SAR11 group became more dominant during the bloom period, and diverse groups belonging to the Flavobacteriia occurred dominantly during both the bloom and post-bloom periods. However, bacterial community changes at the species level during the bloom and post-bloom periods occurred rapidly in a time scale of a few days. Especially, NS5, NS4 and Formosa bacteria belonging to Flavobacteriia and bacteria belonging to Halieaceae and Arenicellaceae families of Gammaproteobacteria showed a successive pattern with large short-term variation during the period. The changes in prokaryotic composition were found to be related to phytoplankton biomass and composition, as well as seawater temperature and variations in nutrients.
C1 [Choi, Dong Han; An, Sung Min; Yang, Eun Chan; Lee, Howon; Noh, Jae Hoon] Korea Inst Ocean Sci & Technol, Marine Ecosyst & Biol Res Ctr, Busan 49111, South Korea.
[Choi, Dong Han; Noh, Jae Hoon] Korea Univ Sci & Technol, Dept Marine Biol, Daejeon 34113, South Korea.
[Shim, JaeSeol; Jeong, JinYong] Korea Inst Ocean Sci & Technol, Operat Oceanog Res Ctr, Busan 49111, South Korea.
RP Noh, JH (corresponding author), Korea Inst Ocean Sci & Technol, Marine Ecosyst & Biol Res Ctr, Busan 49111, South Korea.
EM jhnoh@kiost.ac.kr
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
[Anonymous], 2013, Illumina 16S Metagenomic Sequencing Library Preparation
Becker JW, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00111
Biddanda B, 1997, LIMNOL OCEANOGR, V42, P506, DOI 10.4319/lo.1997.42.3.0506
BILLEN G, 1987, MAR ECOL PROG SER, V37, P249, DOI 10.3354/meps037249
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
Castberg T, 2001, MAR ECOL PROG SER, V221, P39, DOI 10.3354/meps221039
CHO BC, 1994, MAR ECOL PROG SER, V115, P181, DOI 10.3354/meps115181
Choi DH, 2005, AQUAT MICROB ECOL, V41, P171, DOI 10.3354/ame041171
Choi DH, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiv170
Cloern JE, 1996, REV GEOPHYS, V34, P127, DOI 10.1029/96RG00986
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
DUCKLOW HW, 1983, J PLANKTON RES, V5, P333, DOI 10.1093/plankt/5.3.333
DUCKLOW HW, 1993, DEEP-SEA RES PT II, V40, P245, DOI 10.1016/0967-0645(93)90016-G
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Kataoka T, 2009, J MARINE SYST, V77, P197, DOI 10.1016/j.jmarsys.2008.12.006
Kerkhof LJ, 1999, HYDROBIOLOGIA, V401, P139, DOI 10.1023/A:1003734310515
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Kristiansen S, 2001, MAR ECOL PROG SER, V219, P41, DOI 10.3354/meps219041
Larsen A, 2004, LIMNOL OCEANOGR, V49, P180, DOI 10.4319/lo.2004.49.1.0180
Löder MGJ, 2011, MAR BIOL, V158, P1551, DOI 10.1007/s00227-011-1670-2
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Marie D, 1996, APPL ENVIRON MICROB, V62, P1649, DOI 10.1128/AEM.62.5.1649-1655.1996
MAYNARD NG, 1987, J GEOPHYS RES-OCEANS, V92, P7127, DOI 10.1029/JC092iC07p07127
Meon B, 2001, MAR CHEM, V75, P185, DOI 10.1016/S0304-4203(01)00036-6
MYKLESTAD SM, 1995, SCI TOTAL ENVIRON, V165, P155, DOI 10.1016/0048-9697(95)04549-G
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Park KA, 2014, DEEP-SEA RES PT I, V83, P34, DOI 10.1016/j.dsr.2013.09.002
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Romera-Castillo C, 2010, LIMNOL OCEANOGR, V55, P446, DOI 10.4319/lo.2010.55.1.0446
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sison-Mangus MP, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01433
Smetacek V, 2008, SCIENCE, V319, P1346, DOI 10.1126/science.1151330
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Takahashi S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105592
Tan SJ, 2015, J PHYCOL, V51, P120, DOI 10.1111/jpy.12259
Tarran GA, 2015, PROG OCEANOGR, V137, P446, DOI 10.1016/j.pocean.2015.04.024
Taylor JR, 2011, LIMNOL OCEANOGR, V56, P2293, DOI 10.4319/lo.2011.56.6.2293
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thomas AC, 2003, CONT SHELF RES, V23, P971, DOI 10.1016/S0278-4343(03)00086-4
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
WEISSE T, 1991, MAR ECOL PROG SER, V71, P195, DOI 10.3354/meps071195
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
Wetz MS, 2007, LIMNOL OCEANOGR, V52, P798, DOI 10.4319/lo.2007.52.2.0798
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yager PL, 2001, LIMNOL OCEANOGR, V46, P790, DOI 10.4319/lo.2001.46.4.0790
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
NR 52
TC 15
Z9 15
PD SEP
PY 2018
VL 94
IS 9
AR fiy134
DI 10.1093/femsec/fiy134
UT WOS:000442373800015
DA 2025-07-30
ER
PT J
AU Wilkins, D
Lauro, FM
Williams, TJ
Demaere, MZ
Brown, MV
Hoffman, JM
Andrews-Pfannkoch, C
Mcquaid, JB
Riddle, MJ
Rintoul, SR
Cavicchioli, R
AF Wilkins, David
Lauro, Federico M.
Williams, Timothy J.
Demaere, Matthew Z.
Brown, Mark V.
Hoffman, Jeffrey M.
Andrews-Pfannkoch, Cynthia
Mcquaid, Jeffrey B.
Riddle, Martin J.
Rintoul, Stephen R.
Cavicchioli, Ricardo
TI Biogeographic partitioning of Southern Ocean microorganisms revealed by
metagenomics
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We performed a metagenomic survey (6.6Gbp of 454 sequence data) of Southern Ocean (SO) microorganisms during the austral summer of 20072008, examining the genomic signatures of communities across a latitudinal transect from Hobart (44 degrees S) to the Mertz Glacier, Antarctica (67 degrees S). Operational taxonomic units (OTUs) of the SAR11 and SAR116 clades and the cyanobacterial genera Prochlorococcus and Synechococcus were strongly overrepresented north of the Polar Front (PF). Conversely, OTUs of the Gammaproteobacterial Sulfur Oxidizer-EOSA-1 (GSO-EOSA-1) complex, the phyla Bacteroidetes and Verrucomicrobia and order Rhodobacterales were characteristic of waters south of the PF. Functions enriched south of the PF included a range of transporters, sulfur reduction and histidine degradation to glutamate, while branched-chain amino acid transport, nucleic acid biosynthesis and methionine salvage were overrepresented north of the PF. The taxonomic and functional characteristics suggested a shift of primary production from cyanobacteria in the north to eukaryotic phytoplankton in the south, and reflected the different trophic statuses of the two regions. The study provides a new level of understanding about SO microbial communities, describing the contrasting taxonomic and functional characteristics of microbial assemblages either side of the PF.
C1 [Wilkins, David; Lauro, Federico M.; Williams, Timothy J.; Demaere, Matthew Z.; Brown, Mark V.; Cavicchioli, Ricardo] Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
[Brown, Mark V.] Univ New S Wales, Evolut & Ecol Res Ctr, Sydney, NSW 2052, Australia.
[Hoffman, Jeffrey M.; Andrews-Pfannkoch, Cynthia; Mcquaid, Jeffrey B.] J Craig Venter Inst, Rockville, MD 20850 USA.
[Riddle, Martin J.] Australian Antarctic Div, Kingston, Tas 7050, Australia.
[Rintoul, Stephen R.] CSIRO Marine & Atmospher Res, Hobart, Tas 7001, Australia.
[Rintoul, Stephen R.] Ctr Australian Weather & Climate Res, Partnership Bur Meteorol, Hobart, Tas 7001, Australia.
[Rintoul, Stephen R.] CSIRO, Hobart, Tas 7001, Australia.
[Rintoul, Stephen R.] CSIRO Wealth Oceans Natl Res Flagship, Hobart, Tas 7001, Australia.
[Rintoul, Stephen R.] Antarctic Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas 7001, Australia.
RP Cavicchioli, R (corresponding author), Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
EM r.cavicchioli@unsw.edu.au
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
André JM, 1999, J GEOPHYS RES-OCEANS, V104, P3369, DOI 10.1029/1998JC900005
Angly FE, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000593
Biastoch A, 2009, NATURE, V462, P495, DOI 10.1038/nature08519
Bidle KD, 2001, LIMNOL OCEANOGR, V46, P1606, DOI 10.4319/lo.2001.46.7.1606
Böning CW, 2008, NAT GEOSCI, V1, P864, DOI 10.1038/ngeo362
Bowman JP, 2003, APPL ENVIRON MICROB, V69, P2463, DOI 10.1128/AEM.69.5.2463-2483.2003
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2001, FEMS MICROBIOL ECOL, V35, P267, DOI 10.1016/S0168-6496(01)00100-3
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Campanaro S, 2011, ENVIRON MICROBIOL, V13, P2018, DOI 10.1111/j.1462-2920.2010.02367.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cavicchioli R, 2006, NAT REV MICROBIOL, V4, P331, DOI 10.1038/nrmicro1390
Chiba S, 2001, MAR ECOL PROG SER, V216, P95, DOI 10.3354/meps216095
Clarke K., 2001, Change in Marine Communities, V2
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Esper O, 2002, MAR MICROPALEONTOL, V46, P177, DOI 10.1016/S0377-8398(02)00041-5
Feller G, 2003, NAT REV MICROBIOL, V1, P200, DOI 10.1038/nrmicro773
Fletcher SEM, 2006, GLOBAL BIOGEOCHEM CY, V20, DOI 10.1029/2005GB002530
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Fyfe JC, 2005, J CLIMATE, V18, P3068, DOI 10.1175/JCLI3447.1
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hessen DO, 2004, ECOLOGY, V85, P1179, DOI 10.1890/02-0251
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Hunt BPV, 2001, MAR BIOL, V138, P369, DOI 10.1007/s002270000467
Huston AL, 2000, ENVIRON MICROBIOL, V2, P383, DOI 10.1046/j.1462-2920.2000.00118.x
Jung SY, 2006, INT J SYST EVOL MICR, V56, P33, DOI 10.1099/ijs.0.63920-0
Junge K, 2003, APPL ENVIRON MICROB, V69, P4282, DOI 10.1128/AEM.69.7.4282-4284.2003
Kalanetra KM, 2009, ENVIRON MICROBIOL, V11, P2434, DOI 10.1111/j.1462-2920.2009.01974.x
Kawahata H, 2000, GEOCHEM J, V34, P247, DOI 10.2343/geochemj.34.247
King GA, 2003, APPL ENVIRON MICROB, V69, P7257, DOI 10.1128/AEM.69.12.7257-7265.2003
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
KJELLEBERG S, 1987, ANNU REV MICROBIOL, V41, P25, DOI 10.1146/annurev.mi.41.100187.000325
Kuwahara H, 2007, CURR BIOL, V17, P881, DOI 10.1016/j.cub.2007.04.039
Lauro FM, 2011, ISME J, V5, P879, DOI 10.1038/ismej.2010.185
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Liu H, 1998, DEEP-SEA RES PT II, V45, P2327, DOI 10.1016/S0967-0645(98)00073-3
Liu HB, 1997, AQUAT MICROB ECOL, V12, P39, DOI 10.3354/ame012039
Lomas MW, 2011, BIOGEOSCIENCES, V8, P203, DOI 10.5194/bg-8-203-2011
Marchant HJ., 1987, Proc Nat Inst Polar Res (NIPR) Symp Polar Biol, V1, P1
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
Meyer B, 2007, APPL ENVIRON MICROB, V73, P7664, DOI 10.1128/AEM.01272-07
Moore JK, 1999, J GEOPHYS RES-OCEANS, V104, P3059, DOI 10.1029/1998JC900032
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Myers EW, 2000, SCIENCE, V287, P2196, DOI 10.1126/science.287.5461.2196
Newton ILG, 2007, SCIENCE, V315, P998, DOI 10.1126/science.1138438
Ng C, 2010, ISME J, V4, P1002, DOI 10.1038/ismej.2010.28
Noguchi H, 2006, NUCLEIC ACIDS RES, V34, P5623, DOI 10.1093/nar/gkl723
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
ORSI AH, 1995, DEEP-SEA RES PT I, V42, P641, DOI 10.1016/0967-0637(95)00021-W
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
PAUL JH, 1988, APPL ENVIRON MICROB, V54, P1682, DOI 10.1128/AEM.54.7.1682-1688.1988
Pollard RT, 2002, DEEP-SEA RES PT II, V49, P3289, DOI 10.1016/S0967-0645(02)00084-X
Preston CM, 1996, P NATL ACAD SCI USA, V93, P6241, DOI 10.1073/pnas.93.13.6241
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabine CL, 2004, SCIENCE, V305, P367, DOI 10.1126/science.1097403
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Sokolov S, 2002, J MARINE SYST, V37, P151, DOI 10.1016/S0924-7963(02)00200-2
Sokolov S, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2008JC005248
Sokolov S, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2008JC005108
Strutton PG, 2000, DEEP-SEA RES PT II, V47, P2327, DOI 10.1016/S0967-0645(00)00028-X
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Swingley WD, 2007, J BACTERIOL, V189, P683, DOI 10.1128/JB.01390-06
Thomalla SJ, 2011, OCEAN SCI, V7, P113, DOI 10.5194/os-7-113-2011
Topping JN, 2006, AQUAT MICROB ECOL, V45, P229, DOI 10.3354/ame045229
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Trull T, 2001, DEEP-SEA RES PT II, V48, P2439, DOI 10.1016/S0967-0645(01)00003-0
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Ward P, 2003, MAR BIOL, V143, P121, DOI 10.1007/s00227-003-1019-6
Weber TS, 2010, NATURE, V467, P550, DOI 10.1038/nature09403
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
WHITWORTH T, 1980, DEEP-SEA RES, V27, P497, DOI 10.1016/0198-0149(80)90036-9
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams GD, 2010, DEEP-SEA RES PT II, V57, P738, DOI 10.1016/j.dsr2.2009.04.020
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Williams TJ, 2011, ENVIRON MICROBIOL, V13, P2186, DOI 10.1111/j.1462-2920.2011.02467.x
Yau S, 2011, P NATL ACAD SCI USA, V108, P6163, DOI 10.1073/pnas.1018221108
Ye YZ, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000465
Yoon J, 2007, INT J SYST EVOL MICR, V57, P959, DOI 10.1099/ijs.0.64755-0
Zhang R, 2007, FEMS MICROBIOL ECOL, V61, P496, DOI 10.1111/j.1574-6941.2007.00353.x
NR 99
TC 64
Z9 70
PD MAY
PY 2013
VL 15
IS 5
SI SI
BP 1318
EP 1333
DI 10.1111/1462-2920.12035
UT WOS:000318041800007
DA 2025-07-30
ER
PT J
AU Cerro-Gálvez, E
Casal, P
Lundin, D
Piña, B
Pinhassi, J
Dachs, J
Vila-Costa, M
AF Cerro-Galvez, Elena
Casal, Paulo
Lundin, Daniel
Pina, Benjamin
Pinhassi, Jarone
Dachs, Jordi
Vila-Costa, Maria
TI Microbial responses to anthropogenic dissolved organic carbon in the
Arctic and Antarctic coastal seawaters
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Thousands of semi-volatile hydrophobic organic pollutants (OPs) reach open oceans through atmospheric deposition, causing a chronic and ubiquitous pollution by anthropogenic dissolved organic carbon (ADOC). Hydrophobic ADOC accumulates in cellular lipids, inducing harmful effects on marine biota, and can be partially prone to microbial degradation. Unfortunately, their possible effects on microorganisms, key drivers of global biogeochemical cycles, remain unknown. We challenged coastal microbial communities from Ny-angstrom lesund (Arctic) and Livingston Island (Antarctica) with ADOC concentrations within the range of oceanic concentrations in 24 h. ADOC addition elicited clear transcriptional responses in multiple microbial heterotrophic metabolisms in ubiquitous groups such as Flavobacteriia, Gammaproteobacteria and SAR11. Importantly, a suite of cellular adaptations and detoxifying mechanisms, including remodelling of membrane lipids and transporters, was detected. ADOC exposure also changed the composition of microbial communities, through stimulation of rare biosphere taxa. Many of these taxa belong to recognized OPs degraders. This work shows that ADOC at environmentally relevant concentrations substantially influences marine microbial communities. Given that emissions of organic pollutants are growing during the Anthropocene, the results shown here suggest an increasing influence of ADOC on the structure of microbial communities and the biogeochemical cycles regulated by marine microbes.
C1 [Cerro-Galvez, Elena; Casal, Paulo; Pina, Benjamin; Dachs, Jordi; Vila-Costa, Maria] CSIC, IDAEA, Dept Environm Chem, Jordi Girona 18-26, ES-08034 Barcelona, Catalunya, Spain.
[Lundin, Daniel; Pinhassi, Jarone] Linnaeus Univ, EEMiS, Ctr Ecol & Evolut Microbial Model Syst, Barlastgatan 11, S-39182 Kalmar, Sweden.
RP Vila-Costa, M (corresponding author), CSIC, IDAEA, Dept Environm Chem, Jordi Girona 18-26, ES-08034 Barcelona, Catalunya, Spain.
EM maria.vila@idaea.csic.es
CR [Anonymous], R PACKAGE VERSION
[Anonymous], C PART STOCKH CONV P
Arrieta JM, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01566
Berrojalbiz N, 2009, ENVIRON SCI TECHNOL, V43, P2295, DOI 10.1021/es8018226
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Casal P, 2018, ENVIRON SCI TECHNOL, V52, P12327, DOI 10.1021/acs.est.8b03640
Cronin MTD, 2000, SAR QSAR ENVIRON RES, V11, P301, DOI 10.1080/10629360008033237
Dachs J, 1999, MAR CHEM, V65, P195, DOI 10.1016/S0304-4203(99)00002-X
Dachs J, 2010, ESTUAR COAST, V33, P1, DOI 10.1007/s12237-009-9255-8
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
de Carvalho CCCR, 2010, MAR DRUGS, V8, P705, DOI 10.3390/md8030705
Del Fabbro C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0085024
Dimont E, 2015, BIOINFORMATICS, V31, P2589, DOI 10.1093/bioinformatics/btv209
Dobler L, 2016, NEW BIOTECHNOL, V33, P123, DOI 10.1016/j.nbt.2015.09.005
Dombrowski N, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.57, 10.1038/nmicrobiol.2016.57]
Echeveste P, 2016, SCI TOTAL ENVIRON, V571, P34, DOI 10.1016/j.scitotenv.2016.07.111
Echeveste P, 2011, ENVIRON POLLUT, V159, P1307, DOI 10.1016/j.envpol.2011.01.023
Echeveste P, 2010, ENVIRON POLLUT, V158, P299, DOI 10.1016/j.envpol.2009.07.006
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Efferth T, 2017, ARCH TOXICOL, V91, P2515, DOI 10.1007/s00204-017-1938-5
Escher BI, 2017, ENVIRON SCI-PROC IMP, V19, P414, DOI 10.1039/c6em00692b
Ewa B, 2017, J APPL GENET, V58, P321, DOI 10.1007/s13353-016-0380-3
Falcioni T, 2008, APPL ENVIRON MICROB, V74, P1767, DOI 10.1128/AEM.01668-07
Farrington JW, 2015, MAR POLLUT BULL, V96, P29, DOI 10.1016/j.marpolbul.2015.04.039
Fernández-Pinos MC, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-08425-9
Galbán-Malagón C, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms1858
Galbán-Malagón CJ, 2013, ENVIRON SCI TECHNOL, V47, P7195, DOI 10.1021/es4011256
Galbán-Malagón CJ, 2013, ENVIRON SCI TECHNOL, V47, P5578, DOI 10.1021/es400030q
Garneau MÉ, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw130
Ghosal D, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01369
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
González-Gaya B, 2019, NAT GEOSCI, V12, P119, DOI 10.1038/s41561-018-0285-3
González-Gaya B, 2016, NAT GEOSCI, V9, P438, DOI [10.1038/NGEO2714, 10.1038/ngeo2714]
Guillemette F, 2017, LIMNOL OCEANOGR, V62, P1682, DOI 10.1002/lno.10525
Head IM, 2006, NAT REV MICROBIOL, V4, P173, DOI 10.1038/nrmicro1348
Hung H, 2016, ENVIRON POLLUT, V217, P52, DOI 10.1016/j.envpol.2016.01.079
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Cerezo MI, 2015, ENVIRON POLLUT, V196, P147, DOI 10.1016/j.envpol.2014.09.023
Jiao S, 2016, SCI REP-UK, V6, DOI 10.1038/srep21791
Joye S, 2018, CELL, V172, P1336, DOI 10.1016/j.cell.2018.02.059
Joye SB, 2016, OCEANOGRAPHY, V29, P136, DOI 10.5670/oceanog.2016.78
Kabelitz N, 2003, FEMS MICROBIOL LETT, V220, P223, DOI 10.1016/S0378-1097(03)00103-4
Kerr ID, 2010, FEBS J, V277, P550, DOI 10.1111/j.1742-4658.2009.07486.x
Killops S.D., 2005, Introduction to organic geochemistry
Kim YS, 2007, CHEMOSPHERE, V66, P1243, DOI 10.1016/j.chemosphere.2006.07.040
Koelmans AA, 2014, ENVIRON SCI TECHNOL, V48, P7341, DOI 10.1021/es5003549
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lea-Smith DJ, 2015, P NATL ACAD SCI USA, V112, P13591, DOI 10.1073/pnas.1507274112
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Li H, 2009, BIOINFORMATICS, V25, P1754, DOI [10.1093/bioinformatics/btp352, 10.1093/bioinformatics/btp324, 10.1093/bioinformatics/btp698]
Lohmann R, 2007, ENVIRON POLLUT, V150, P150, DOI 10.1016/j.envpol.2007.06.051
Mallick S, 2011, CRIT REV MICROBIOL, V37, P64, DOI 10.3109/1040841X.2010.512268
Mason OU, 2012, ISME J, V6, P1715, DOI 10.1038/ismej.2012.59
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Moran MA, 2013, ISME J, V7, P237, DOI 10.1038/ismej.2012.94
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Nash SB, 2011, J ENVIRON MONITOR, V13, P497, DOI 10.1039/c0em00230e
Newman DK, 2016, ANNU REV EARTH PL SC, V44, P493, DOI 10.1146/annurev-earth-050212-123958
Pepi M, 2017, CHEMOSPHERE, V177, P258, DOI 10.1016/j.chemosphere.2017.03.031
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Piquet AMT, 2016, POLAR BIOL, V39, P1749, DOI 10.1007/s00300-015-1866-x
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Rivers AR, 2013, ISME J, V7, P2315, DOI 10.1038/ismej.2013.129
Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
Rodriguez LM, 2015, ISME J, V9, P1928, DOI 10.1038/ismej.2015.5
Ruiz-Halpern S, 2014, BIOGEOSCIENCES, V11, P2755, DOI 10.5194/bg-11-2755-2014
Satinsky BM, 2013, METHOD ENZYMOL, V531, P237, DOI 10.1016/B978-0-12-407863-5.00012-5
Sebastián M, 2016, ISME J, V10, P968, DOI 10.1038/ismej.2015.172
Shao BB, 2017, MICROBIOL RES, V200, P33, DOI 10.1016/j.micres.2017.04.005
Sharom FJ, 2014, FRONT ONCOL, V4, DOI 10.3389/fonc.2014.00041
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
VAN WEZEL A, 1995, CRIT REV TOXICOL, V25, P255, DOI 10.3109/10408449509089890
Vergeynst L, 2018, SCI TOTAL ENVIRON, V626, P1243, DOI 10.1016/j.scitotenv.2018.01.173
Vila-Costa M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-36635-2
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Wallberg P, 2000, ENVIRON TOXICOL CHEM, V19, P827, DOI 10.1002/etc.5620190407
Wang WX, 2009, ENVIRON TOXICOL, V24, P166, DOI 10.1002/tox.20411
White HK, 2013, ENVIRON SCI TECHNOL, V47, P726, DOI 10.1021/es3042065
WIRSEN CO, 1987, CURR MICROBIOL, V14, P319
Yang SZ, 2016, SCI REP-UK, V6, DOI 10.1038/srep37473
Zeng ZT, 2018, SCI TOTAL ENVIRON, V634, P1, DOI 10.1016/j.scitotenv.2018.03.349
NR 83
TC 26
Z9 29
PD APR
PY 2019
VL 21
IS 4
BP 1466
EP 1481
DI 10.1111/1462-2920.14580
UT WOS:000464373000022
DA 2025-07-30
ER
PT J
AU Ferreira, JCN
Bergo, NM
Tura, PM
Chuqui, MG
Brandini, FP
Jovane, L
Pellizari, VH
AF Neiva Ferreira, Juliana Correa
Bergo, Natascha M.
Tura, Pedro M.
Chuqui, Mateus Gustavo
Brandini, Frederico P.
Jovane, Luigi
Pellizari, Vivian H.
TI Abundance and microbial diversity from surface to deep water layers over
the Rio Grande Rise, South Atlantic
SO PROGRESS IN OCEANOGRAPHY
DT Review
AB Marine microbes control the flux of matter and energy essential for life in the oceans. Until now, the distribution and diversity of planktonic microorganisms above Fe-Mn crusts have received relatively little attention. Future deep-sea mining is predicted to affect microbial diversity. Here, we studied the ecology of picoplankton among pelagic zones of a Fe-Mn deposit region, at Rio Grande Rise, Southwestern Atlantic Ocean. We investigated microbial community composition using high-throughput sequencing of 16S rRNA genes and their abundance estimated by flow cytometry. The picoplankton populations were more abundant in epi-and mesopelagic waters, corresponding to the Tropical and South Atlantic Central Water masses. Bacterial groups related to heterotrophy, such as Oceanospirillales (Gammapoteobacteria), SAR11 (Alphapoteobacteria), Flavobacteriales (Bacteroida), and Rhodobacterales (Alphapoteobacteria), were the main representatives of the pelagic microbial community. Additionally, we detected abundant assemblages belonging to acetate-oxidizing manganese reducers, i.e., Alteromonas. No differences were observed in microbial community diversity among pelagic zones and water masses. These results provide the first insights into the picoplankton abundance, taxonomy and diversity, and ecological processes in the Rio Grande Rise of the Atlantic Ocean. This may also support draft regulations for deep-sea mining in the region.
C1 [Neiva Ferreira, Juliana Correa; Bergo, Natascha M.; Tura, Pedro M.; Chuqui, Mateus Gustavo; Brandini, Frederico P.; Jovane, Luigi; Pellizari, Vivian H.] Univ Sao Paulo, Inst Oceanog, Sao Paulo, Brazil.
RP Bergo, NM (corresponding author), Univ Sao Paulo, Inst Oceanog, Sao Paulo, Brazil.
EM nataschabergo@usp.br
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V53, P379, DOI 10.1016/j.femsec.2005.01.008
Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Agusti S, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8608
Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Anderson MJ, 2006, BIOMETRICS, V62, P245, DOI 10.1111/j.1541-0420.2005.00440.x
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Benites M, 2020, MINERALS-BASEL, V10, DOI 10.3390/min10040349
Bergo NM, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00238
Bergo NM, 2021, MICROB ECOL, V82, P344, DOI 10.1007/s00248-020-01670-y
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Blöthe M, 2015, ENVIRON SCI TECHNOL, V49, P7692, DOI 10.1021/es504930v
Boebel O, 1997, J GEOPHYS RES-OCEANS, V102, P20967, DOI 10.1029/97JC00977
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Briggs N, 2020, SCIENCE, V367, P791, DOI 10.1126/science.aay1790
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Butler A, 1998, SCIENCE, V281, P207, DOI 10.1126/science.281.5374.207
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cao Y, 2014, APPL ENVIRON MICROB, V80, P54, DOI 10.1128/AEM.02288-13
Celussi M, 2018, PROG OCEANOGR, V168, P210, DOI 10.1016/j.pocean.2018.10.002
COTNER JB, 1992, LIMNOL OCEANOGR, V37, P232, DOI 10.4319/lo.1992.37.2.0232
Coutinho FH, 2021, SCI TOTAL ENVIRON, V765, DOI 10.1016/j.scitotenv.2020.142758
Csardi G., 2006, Complex Syst, V1695, P1
CULLEN JJ, 1982, CAN J FISH AQUAT SCI, V39, P791, DOI 10.1139/f82-108
Cullen JJ, 2015, ANNU REV MAR SCI, V7, P207, DOI 10.1146/annurev-marine-010213-135111
De Cáceres M, 2010, OIKOS, V119, P1674, DOI 10.1111/j.1600-0706.2010.18334.x
Debeljak P, 2021, LIMNOL OCEANOGR, V66, P3842, DOI 10.1002/lno.11923
DUGDALE RC, 1967, LIMNOL OCEANOGR, V12, P196, DOI 10.4319/lo.1967.12.2.0196
Faure E, 2019, ISME J, V13, P1072, DOI 10.1038/s41396-018-0340-5
Frank AH, 2016, ENVIRON MICROBIOL, V18, P2052, DOI 10.1111/1462-2920.13237
García-García N, 2019, ISME J, V13, P2969, DOI 10.1038/s41396-019-0487-8
Garcia-Robledo E, 2017, P NATL ACAD SCI USA, V114, P8319, DOI 10.1073/pnas.1619844114
Genin A., 2007, BLACKWELL FISH AQUAT, P85
Giljan G, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61417-0
Giner CR, 2020, ISME J, V14, P437, DOI 10.1038/s41396-019-0506-9
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Guilhon M, 2021, ICES J MAR SCI, V78, P884, DOI 10.1093/icesjms/fsaa229
Guo C, 2014, BIOGEOSCIENCES, V11, P1847, DOI 10.5194/bg-11-1847-2014
Harlamov V, 2015, 2015 IEEE/OES ACOUSTICS IN UNDERWATER GEOSCIENCES SYMPOSIUM
Hogle SL, 2016, APPL ENVIRON MICROB, V82, P1613, DOI 10.1128/AEM.03128-15
Isaac A, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.718297
Jovane L, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00252
Kato S, 2018, MICROBES ENVIRON, V33, P366, DOI 10.1264/jsme2.ME18090
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Lange PK, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10060847
Langenheder S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010834
Lauro FM, 2008, EXTREMOPHILES, V12, P15, DOI 10.1007/s00792-006-0059-5
Lemos AT, 2018, DEEP-SEA RES PT I, V136, P62, DOI 10.1016/j.dsr.2018.04.005
Linacre L, 2015, DEEP-SEA RES PT I, V106, P55, DOI 10.1016/j.dsr.2015.09.009
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Luo HW, 2015, TRENDS MICROBIOL, V23, P577, DOI 10.1016/j.tim.2015.05.004
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Mason OU, 2012, ISME J, V6, P1715, DOI 10.1038/ismej.2012.59
Mayali X, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095842
McMurdie PJ, 2012, BIOCOMPUT-PAC SYM, P235
Meier DV, 2017, ISME J, V11, P1545, DOI 10.1038/ismej.2017.37
Mendonça A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0029526
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Metzler PM, 1997, DEEP-SEA RES PT I, V44, P363, DOI 10.1016/S0967-0637(96)00129-X
Milici M, 2016, SCI REP-UK, V6, DOI 10.1038/srep19054
Montserrat F, 2019, DEEP-SEA RES PT I, V145, P31, DOI 10.1016/j.dsr.2018.12.007
Morel FMM, 2003, SCIENCE, V300, P944, DOI 10.1126/science.1083545
Morel FMM, 2020, ANNU REV EARTH PL SC, V48, P491, DOI 10.1146/annurev-earth-053018-060108
Niner HJ, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00053
Oksanen, 2022, VEGAN COMMUNITY ECOL
Orcutt BN, 2020, LIMNOL OCEANOGR, V65, P1489, DOI 10.1002/lno.11403
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Pajares S, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz143
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Perez JAA, 2012, OCEANOGRAPHY, V25, P16, DOI 10.5670/oceanog.2012.102
Raven JA, 1998, FUNCT ECOL, V12, P503, DOI 10.1046/j.1365-2435.1998.00233.x
Ribeiro CGE, 2016, LIMNOL OCEANOGR-METH, V14, P750, DOI 10.1002/lom3.10135
Ribeiro CG, 2016, PEERJ, V4, DOI 10.7717/peerj.2587
Rink B, 2007, AQUAT MICROB ECOL, V48, P47, DOI 10.3354/ame048047
Rocke E, 2020, DEEP-SEA RES PT II, V176, DOI 10.1016/j.dsr2.2020.104744
Rolinski S, 2001, DEEP-SEA RES PT II, V48, P3469, DOI 10.1016/S0967-0645(01)00053-4
Saier MH, 2007, WATER AIR SOIL POLL, V181, P1, DOI 10.1007/s11270-007-9372-6
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Schlitzer R., 2015, OCEAN DATA VIEW
Sheik CS, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00840
Shulse CN, 2017, MICROBIOLOGYOPEN, V6, DOI 10.1002/mbo3.428
Silveira I.C.A., 2020, WATER MASSES OCEANIC, P7
Smith KL, 2008, LIMNOL OCEANOGR, V53, P2655, DOI 10.4319/lo.2008.53.6.2655
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Unfried F, 2018, ISME J, V12, P2894, DOI 10.1038/s41396-018-0243-5
Vandieken V, 2012, ISME J, V6, P2078, DOI 10.1038/ismej.2012.41
Verna C, 2010, ENVIRON MICROBIOL, V12, P2355, DOI 10.1111/j.1462-2920.2010.02299.x
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Wang K, 2011, APPL ENVIRON MICROB, V77, P7459, DOI 10.1128/AEM.00267-11
Wedding LM, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1684
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3_1
Wigham BD, 2003, J MAR BIOL ASSOC UK, V83, P175, DOI 10.1017/S0025315403006957h
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 98
TC 14
Z9 15
PD FEB
PY 2022
VL 201
AR 102736
DI 10.1016/j.pocean.2021.102736
EA JAN 2022
UT WOS:000780412700001
DA 2025-07-30
ER
PT J
AU Ghai, R
Rodríguez-Valera, F
McMahon, KD
Toyama, D
Rinke, R
de Oliveira, TCS
Garcia, JW
de Miranda, FP
Henrique-Silva, F
AF Ghai, Rohit
Rodriguez-Valera, Francisco
McMahon, Katherine D.
Toyama, Danyelle
Rinke, Raquel
Souza de Oliveira, Tereza Cristina
Garcia, Jose Wagner
de Miranda, Fernando Pellon
Henrique-Silva, Flavio
TI Metagenomics of the Water Column in the Pristine Upper Course of the
Amazon River
SO PLOS ONE
DT Article
AB River water is a small percentage of the total freshwater on Earth but represents an essential resource for mankind. Microbes in rivers perform essential ecosystem roles including the mineralization of significant quantities of organic matter originating from terrestrial habitats. The Amazon river in particular is famous for its size and importance in the mobilization of both water and carbon out of its enormous basin. Here we present the first metagenomic study on the microbiota of this river. It presents many features in common with the other freshwater metagenome available (Lake Gatun in Panama) and much less similarity with marine samples. Among the microbial taxa found, the cosmopolitan freshwater acI lineage of the actinobacteria was clearly dominant. Group I Crenarchaea and the freshwater sister group of the marine SAR11 clade, LD12, were found alongside more exclusive and well known freshwater taxa such as Polynucleobacter. A metabolism-centric analysis revealed a disproportionate representation of pathways involved in heterotrophic carbon processing, as compared to those found in marine samples. In particular, these river microbes appear to be specialized in taking up and mineralizing allochthonous carbon derived from plant material.
C1 [Ghai, Rohit; Rodriguez-Valera, Francisco; McMahon, Katherine D.] Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante, Spain.
[Toyama, Danyelle; Rinke, Raquel; Henrique-Silva, Flavio] Univ Fed Sao Carlos, Mol Biol Lab, Dept Genet & Evolucao, BR-13560 Sao Carlos, SP, Brazil.
[Souza de Oliveira, Tereza Cristina] Univ Fed Amazonas, Manaus, AM, Brazil.
[Garcia, Jose Wagner] Noosfera Projetos Especiais Ltda, Sao Paulo, Brazil.
[de Miranda, Fernando Pellon] Petr Brasileiro SA Petrobras, Ctr Pesquisas & Desenvolvimento Leopoldo Amer Mig, Rio De Janeiro, Brazil.
RP Ghai, R (corresponding author), Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante, Spain.
EM frvalera@umh.es; dfhs@ufscar.br
CR Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
Allgaier M, 2007, ENVIRON MICROBIOL, V9, P2728, DOI 10.1111/j.1462-2920.2007.01385.x
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Antoine R, 2003, J BACTERIOL, V185, P1470, DOI 10.1128/JB.185.4.1470-1474.2003
Auguet JC, 2010, ISME J, V4, P182, DOI 10.1038/ismej.2009.109
AUTRY AR, 1990, BIOL FERT SOILS, V10, P50
Callieri C, 2009, APPL ENVIRON MICROB, V75, P7298, DOI 10.1128/AEM.01231-09
Cateau E, 2011, FEMS MICROBIOL LETT, V319, P19, DOI 10.1111/j.1574-6968.2011.02261.x
Cole JJ, 2007, ECOSYSTEMS, V10, P171, DOI 10.1007/s10021-006-9013-8
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Debroas D, 2009, ENVIRON MICROBIOL, V11, P2412, DOI 10.1111/j.1462-2920.2009.01969.x
Downing JA, 2006, LIMNOL OCEANOGR, V51, P2388, DOI 10.4319/lo.2006.51.5.2388
Downing JA, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2006GB002854
Fischer M, 2010, TRENDS MICROBIOL, V18, P471, DOI 10.1016/j.tim.2010.06.009
FISHER TR, 1979, COMP BIOCHEM PHYS A, V62, P31, DOI 10.1016/0300-9629(79)90739-4
GHAI R, 2011, BREAKING PA IN PRESS
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P166, DOI 10.1099/ijs.0.010595-0
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P112, DOI 10.1099/ijs.0.001743-0
Hatamoto O, 1996, GENE, V175, P215, DOI 10.1016/0378-1119(96)00153-9
HEDGES JI, 1994, LIMNOL OCEANOGR, V39, P743, DOI 10.4319/lo.1994.39.4.0743
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Jezbera J, 2011, ENVIRON MICROBIOL, V13, P922, DOI 10.1111/j.1462-2920.2010.02396.x
Jezbera J, 2009, INT J SYST EVOL MICR, V59, P2864, DOI 10.1099/ijs.0.010199-0
Jezberova J, 2010, ENVIRON MICROBIOL, V12, P658, DOI 10.1111/j.1462-2920.2009.02106.x
Jones SE, 2009, ENVIRON MICROBIOL, V11, P2463, DOI 10.1111/j.1462-2920.2009.01977.x
Jung J, 2010, J BACTERIOL, V192, P4794, DOI 10.1128/JB.00722-10
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Lemke MJ, 2009, MICROB ECOL, V57, P94, DOI 10.1007/s00248-008-9398-3
LIU Z, 2010, MICROBIOL RES
Llirós M, 2010, APPL ENVIRON MICROB, V76, P6853, DOI 10.1128/AEM.02864-09
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Merkens H, 2005, CURR MICROBIOL, V51, P59, DOI 10.1007/s00284-005-4531-8
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Narbad A, 1998, MICROBIOL-SGM, V144, P1397, DOI 10.1099/00221287-144-5-1397
Newton RJ, 2007, APPL ENVIRON MICROB, V73, P7169, DOI 10.1128/AEM.00794-07
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oren A., 2002, HALOPHILIC MICROORGA
Parks DH, 2010, BIOINFORMATICS, V26, P715, DOI 10.1093/bioinformatics/btq041
Peleg AY, 2008, CLIN MICROBIOL REV, V21, P538, DOI 10.1128/CMR.00058-07
Piccini C, 2006, APPL ENVIRON MICROB, V72, P6560, DOI 10.1128/AEM.01089-06
Pope PB, 2008, FEMS MICROBIOL ECOL, V64, P9, DOI 10.1111/j.1574-6941.2008.00448.x
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
RICHEY JE, 1990, LIMNOL OCEANOGR, V35, P352, DOI 10.4319/lo.1990.35.2.0352
Rogers DR, 2010, APPL ENVIRON MICROB, V76, P7938, DOI 10.1128/AEM.02056-09
Rubin MA, 2007, MICROB ECOL, V54, P374, DOI 10.1007/s00248-007-9209-2
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sharma AK, 2008, ENVIRON MICROBIOL, V10, P1039, DOI 10.1111/j.1462-2920.2007.01525.x
Shiklomanov J.C.R., 2003, World Water Resources at the Beginning of the Twenty-First Century
Sioli H., 1950, Forshungen und Fortshritte, V26, P274
Urbach E, 2007, HYDROBIOLOGIA, V574, P161, DOI 10.1007/s10750-006-0351-5
Vogt T, 2010, MOL PLANT, V3, P2, DOI 10.1093/mp/ssp106
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Winter C, 2007, APPL ENVIRON MICROB, V73, P421, DOI 10.1128/AEM.01849-06
Wu QL, 2006, FEMS MICROBIOL ECOL, V57, P67, DOI 10.1111/j.1574-6941.2006.00105.x
Yannarell AC, 2005, APPL ENVIRON MICROB, V71, P227, DOI 10.1128/AEM.71.1.227-239.2005
Yannarell AC, 2003, MICROB ECOL, V46, P391, DOI 10.1007/s00248-003-1008-9
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 66
TC 155
Z9 168
PD AUG 19
PY 2011
VL 6
IS 8
AR e23785
DI 10.1371/journal.pone.0023785
UT WOS:000294128100031
DA 2025-07-30
ER
PT J
AU García, CSY
Porcel, S
Schiaffino, MR
Lancelotti, J
Marinone, MC
Metz, S
Roesler, I
Izaguirre, I
AF Sabio y Garcia, Carmen
Porcel, Sol
Schiaffino, M. Romina
Lancelotti, Julio
Marinone, Maria Cristina
Metz, Sebastian
Roesler, Ignacio
Izaguirre, Irina
TI Differences in bacterial community composition between fish-stocked and
fishless lakes from an arid Patagonian plateau
SO HYDROBIOLOGIA
DT Article
AB Bacterial community composition (BCC) can be modulated by different indirect and direct factors. The Strobel Lake Plateau (Patagonia, Argentina) holds natural fishless lakes. Fish introduction in some of these lakes has affected the structure of their zooplankton, phytoplankton and autotrophic picoplankton communities, whereas its effects on bacterioplankton are unknown. Hence, we analyzed BCC to assess the potential effect of fish introduction on this community in lakes of this region. We sampled fishless and fish-stocked lakes during three summer campaigns and analyzed the BCC. Our results revealed a contrasting arrangement in the main limnological variables and significant differences in the BCC between fishless and stocked lakes. In fish-stocked lakes, Alphaproteobacteria class had a higher proportion and SAR11_cladeIII was the most abundant amplicon sequence variant (ASV); these lakes also showed a marginally higher mean richness but less exclusive ASVs. Environmental and biotic factors contributed to explain BCC variations. The lower percentage of exclusive ASVs and the closer BCC ordination in a non-metric multidimensional scaling suggest a homogenizing effect in fish-stocked lakes. This study contributes to understand the consequences of fish introduction on the plankton communities in lakes of this invaluable region for biodiversity conservation.
C1 [Sabio y Garcia, Carmen; Porcel, Sol; Roesler, Ignacio; Izaguirre, Irina] Univ Buenos Aires, Dept Ecol Genet & Evoluc, Lab Limnol, Inst Ecol Genet & Evoluc Buenos Aires,CONICET, Buenos Aires, Argentina.
[Schiaffino, M. Romina] Univ Nacl Noroeste Prov Buenos Aires, Ctr Invest & Transferencia Noroeste Prov Buenos Ai, Dept Ciencias Basicas & Expt, UNNOBA UNSAdA CONICET, Buenos Aires, Argentina.
[Lancelotti, Julio] Consejo Nacl Invest Cient & Tecn, Inst Patagon Estudio Ecosistemas Continentales CEN, Puerto Madryn, Chubut, Argentina.
[Marinone, Maria Cristina] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Biodivers & Biol Expt, Buenos Aires, Argentina.
[Metz, Sebastian] IIB INTECH, Lab Ecol Acuat, Chascomus, Buenos Aires, Argentina.
[Metz, Sebastian] Stn Biol Roscoff, Roscoff, France.
RP García, CSY (corresponding author), Univ Buenos Aires, Dept Ecol Genet & Evoluc, Lab Limnol, Inst Ecol Genet & Evoluc Buenos Aires,CONICET, Buenos Aires, Argentina.
EM carmeniica@gmail.com
CR Adamczuk M, 2015, ANN LIMNOL-INT J LIM, V51, P49, DOI 10.1051/limn/2014032
APHA, 2005, Standard Methods for the Examination of Water and Wastewater, Vtwentieth
Beule L, 2020, PEERJ, V8, DOI 10.7717/peerj.9593
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cao XF, 2017, SCI TOTAL ENVIRON, V580, P457, DOI 10.1016/j.scitotenv.2016.11.143
Cavicchioli R, 2019, NAT REV MICROBIOL, V17, P569, DOI 10.1038/s41579-019-0222-5
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Detmer TM, 2019, J PLANKTON RES, V41, P154, DOI 10.1093/plankt/fbz005
Eilers JM, 2007, FUND APPL LIMNOL, V169, P265, DOI 10.1127/1863-9135/2007/0169-0265
Ersoy Z, 2017, FRESHWATER BIOL, V62, P1942, DOI 10.1111/fwb.13039
Lopez ME, 2021, AQUAT CONSERV, V31, P1873, DOI 10.1002/aqc.3522
Fan LM, 2020, ENVIRON POLLUT, V258, DOI 10.1016/j.envpol.2019.113656
Fermani P, 2013, HYDROBIOLOGIA, V714, P115, DOI 10.1007/s10750-013-1528-3
Fonte ES, 2011, J PLANKTON RES, V33, P1596, DOI 10.1093/plankt/fbr049
Saad JF, 2019, HYDROBIOLOGIA, V831, P133, DOI 10.1007/s10750-018-3660-6
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hayden CJ, 2016, ENVIRON MICROBIOL, V18, P1782, DOI 10.1111/1462-2920.12938
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hwang SJ, 1999, J PLANKTON RES, V21, P699, DOI 10.1093/plankt/21.4.699
Izaguirre I, 2018, GLOB ECOL CONSERV, V14, DOI 10.1016/j.gecco.2018.e00391
Izaguirre I, 2014, ADV LIMNOL, V65, P309, DOI 10.1127/1612-166X/2014/0065-0048
Jiao CC, 2018, WATER-SUI, V10, DOI 10.3390/w10081075
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Jürgens K, 1999, APPL ENVIRON MICROB, V65, P1241
Karus K, 2014, EUR J PROTISTOL, V50, P109, DOI 10.1016/j.ejop.2014.01.006
Keshri J, 2018, MICROB ECOL, V76, P372, DOI 10.1007/s00248-018-1143-y
Lancelotti JL, 2015, KNOWL MANAG AQUAT EC, DOI 10.1051/kmae/2015022
Lancelotti JL., 2016, AQUAT CONSERV, DOI [10.1038/s41598-021-94198-1, DOI 10.1038/S41598-021-94198-1]
Lancelotti JL, 2020, AQUAT CONSERV, V30, P554, DOI 10.1002/aqc.3240
Lancelotti JL, 2009, AQUAT CONSERV, V19, P497, DOI 10.1002/aqc.1018
Lindh MV, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00361
LIU K, 2017, FEMS MICROBIOL ECOL, P1
Luo CQ, 2018, J OCEANOL LIMNOL, V36, P341, DOI 10.1007/s00343-018-6281-z
Marker A.F.H., 1980, Advances in Limnology, V14, P91
Martins P, 2018, AQUACULTURE, V490, P240, DOI 10.1016/j.aquaculture.2018.02.038
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Metz S, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01665-z
Molina V, 2020, MICROBIOLOGYOPEN, V9, DOI 10.1002/mbo3.1132
Nevejan N, 2018, REV AQUACULT, V10, P180, DOI 10.1111/raq.12155
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oksanen J., 2007, Community Ecology Package, V10, P719
Oksanen Jari., 2015, Vegan: an introduction to ordination
Özen A, 2018, HYDROBIOLOGIA, V806, P13, DOI 10.1007/s10750-017-3329-6
Niño-García JP, 2016, ISME J, V10, P1755, DOI 10.1038/ismej.2015.226
PACE ML, 1991, ECOLOGY, V72, P904, DOI 10.2307/1940592
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Petsch DK, 2016, INT REV HYDROBIOL, V101, P113, DOI 10.1002/iroh.201601850
Porcel S, 2022, HYDROBIOLOGIA, V849, P2057, DOI 10.1007/s10750-022-04848-2
Porcel S, 2020, J PLANKTON RES, V42, P173, DOI 10.1093/plankt/fbaa004
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Reissig M, 2006, BIOL CONSERV, V132, P437, DOI 10.1016/j.biocon.2006.04.036
Ren Z, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01167
Roesler Ignacio, 2016, Conservation Evidence, V13, P62
Schiaffino MR, 2011, FRESHWATER BIOL, V56, P1973, DOI 10.1111/j.1365-2427.2011.02628.x
Saad JF, 2016, J PLANKTON RES, V38, P818, DOI 10.1093/plankt/fbw029
Saarenheimo J, 2016, ECOLOGY, V97, P684, DOI 10.1890/15-1052.1
Salcher MM, 2014, J LIMNOL, V73, P74, DOI 10.4081/jlimnol.2014.813
Sarmento H, 2012, HYDROBIOLOGIA, V686, P1, DOI 10.1007/s10750-012-1011-6
Schaus MH, 2002, T AM FISH SOC, V131, P40, DOI 10.1577/1548-8659(2002)131<0040:BDDSIO>2.0.CO;2
Ter Braak C. J. F., 1995, P91
Tiberti R, 2014, HYDROBIOLOGIA, V724, P1, DOI 10.1007/s10750-013-1696-1
Vanni MJ, 2002, ANNU REV ECOL SYST, V33, P341, DOI 10.1146/annurev.ecolsys.33.010802.150519
VANNI MJ, 1986, ECOLOGY, V67, P337, DOI 10.2307/1938577
Work KA, 2003, J PLANKTON RES, V25, P1301, DOI 10.1093/plankt/fbg092
Xing P, 2009, APPL ENVIRON MICROB, V75, P7017, DOI 10.1128/AEM.01544-09
Zenoff VF, 2006, APPL ENVIRON MICROB, V72, P7857, DOI 10.1128/AEM.01333-06
Zöllner E, 2009, LIMNOL OCEANOGR, V54, P262, DOI 10.4319/lo.2009.54.1.0262
NR 68
TC 1
Z9 1
PD NOV
PY 2024
VL 851
IS 19
BP 4709
EP 4726
DI 10.1007/s10750-024-05622-2
EA JUL 2024
UT WOS:001260374700002
DA 2025-07-30
ER
PT J
AU Lidbury, I
Mausz, MA
Scanlan, DJ
Chen, Y
AF Lidbury, Ian
Mausz, Michaela A.
Scanlan, David J.
Chen, Yin
TI Identification of dimethylamine monooxygenase in marine bacteria reveals
a metabolic bottleneck in the methylated amine degradation pathway
SO ISME JOURNAL
DT Article
AB Methylated amines (MAs) are ubiquitous in the marine environment and their subsequent flux into the atmosphere can result in the formation of aerosols and ultimately cloud condensation nuclei. Therefore, these compounds have a potentially important role in climate regulation. Using Ruegeria pomeroyi as a model, we identified the genes encoding dimethylamine (DMA) monooxygenase (dmmABC) and demonstrate that this enzyme degrades DMA to monomethylamine (MMA). Although only dmmABC are required for enzyme activity in recombinant Escherichia coli, we found that an additional gene, dmmD, was required for the growth of R. pomeroyi on MAs. The dmmDABC genes are absent from the genomes of multiple marine bacteria, including all representatives of the cosmopolitan SAR11 clade. Consequently, the abundance of dmmDABC in marine metagenomes was substantially lower than the genes required for other metabolic steps of the MA degradation pathway. Thus, there is a genetic and potential metabolic bottleneck in the marine MA degradation pathway. Our data provide an explanation for the observation that DMA-derived secondary organic aerosols (SOAs) are among the most abundant SOAs detected in fine marine particles over the North and Tropical Atlantic Ocean.
C1 [Lidbury, Ian; Mausz, Michaela A.; Scanlan, David J.; Chen, Yin] Univ Warwick, Sch Life Sci, Gibbet Hill Campus,Gibbet Hill Rd, Coventry CV4 7AL, W Midlands, England.
RP Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Gibbet Hill Campus,Gibbet Hill Rd, Coventry CV4 7AL, W Midlands, England.
EM Y.chen.25@warwick.ac.uk
CR ALBERTA JA, 1987, J BIOL CHEM, V262, P11857
BALCH WM, 1985, LIMNOL OCEANOGR, V30, P665, DOI 10.4319/lo.1985.30.3.0665
Billerbeck S, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.63, 10.1038/NMICROBIOL.2016.63]
Carpenter LJ, 2012, CHEM SOC REV, V41, P6473, DOI 10.1039/c2cs35121h
Chen Y, 2012, ENVIRON MICROBIOL, V14, P2308, DOI 10.1111/j.1462-2920.2012.02765.x
Chen Y, 2011, P NATL ACAD SCI USA, V108, P17791, DOI 10.1073/pnas.1112928108
Chen Y, 2010, APPL ENVIRON MICROB, V76, P4102, DOI 10.1128/AEM.00469-10
Chistoserdova L, 2011, ENVIRON MICROBIOL, V13, P2603, DOI 10.1111/j.1462-2920.2011.02464.x
Dennis JJ, 1998, APPL ENVIRON MICROB, V64, P2710
Dziewit L, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00852
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Facchini MC, 2008, ENVIRON SCI TECHNOL, V42, P9116, DOI 10.1021/es8018385
Ge XL, 2011, ATMOS ENVIRON, V45, P524, DOI 10.1016/j.atmosenv.2010.10.012
Gibb SW, 2004, MAR CHEM, V91, P65, DOI 10.1016/j.marchem.2004.04.005
Gibb SW, 1999, DEEP-SEA RES PT II, V46, P593, DOI 10.1016/S0967-0645(98)00119-2
Gibb SW, 1999, GLOBAL BIOGEOCHEM CY, V13, P161, DOI 10.1029/98GB00743
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
IKAWA M, 1973, P203
KOVACH ME, 1995, GENE, V166, P175, DOI 10.1016/0378-1119(95)00584-1
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Lidbury IDEA, 2015, ISME J, V9, P760, DOI 10.1038/ismej.2014.149
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Marshall KT, 2015, GENOME ANNOUNC, V3
Müller C, 2009, ATMOS CHEM PHYS, V9, P9587
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Rinaldi M, 2010, ADV METEOROL, V2010, DOI 10.1155/2010/310682
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SCHAFER A, 1994, GENE, V145, P69, DOI 10.1016/0378-1119(94)90324-7
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Sorooshian A, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2009GB003464
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sun JP, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025654
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
THOMPSON AS, 1995, APPL ENVIRON MICROB, V61, P2388, DOI 10.1128/AEM.61.6.2388-2393.1995
Treberg JR, 2006, J EXP BIOL, V209, P860, DOI 10.1242/jeb.02055
VANNESTE A, 1987, GEOPHYS RES LETT, V14, P711, DOI 10.1029/GL014i007p00711
Wemheuer B, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00805
Whelan S, 2001, MOL BIOL EVOL, V18, P691, DOI 10.1093/oxfordjournals.molbev.a003851
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Zhang Y, 2016, APPL ENVIRON MICROB, V82, P2100, DOI 10.1128/AEM.03678-15
Zhu YJ, 2014, ENVIRON MICROBIOL, V16, P3318, DOI 10.1111/1462-2920.12585
NR 46
TC 31
Z9 33
PD JUL
PY 2017
VL 11
IS 7
BP 1592
EP 1601
DI 10.1038/ismej.2017.31
UT WOS:000403675200008
DA 2025-07-30
ER
PT J
AU Tinta, T
Vojvoda, J
Mozetic, P
Talaber, I
Vodopivec, M
Malfatti, F
Turk, V
AF Tinta, T.
Vojvoda, J.
Mozetic, P.
Talaber, I.
Vodopivec, M.
Malfatti, F.
Turk, V.
TI Bacterial community shift is induced by dynamic environmental parameters
in a changing coastal ecosystem (northern Adriatic, northeastern
Mediterranean Sea) - a 2-year time-series study
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The potential link between the microbial dynamics and the environmental parameters was investigated in a semi-enclosed and highly dynamic coastal system (Gulf of Trieste, northern Adriatic Sea, NE Mediterranean Sea). Our comprehensive 2-year time-series study showed that despite the shallowness of this area, there was a significant difference between the surface and the bottom bacterial community structure. The bottom bacterial community was more diverse than the surface one and influenced by sediment re-suspension. The surface seawater temperature had a profound effect on bacterial productivity, while the bacterial community structure was more affected by freshwater-borne nutrients and phytoplankton blooms. Phytoplankton blooms caused an increase of Gammaproteobacteria (Alteromonadaceae, SAR86 and Vibrionaceae) and shift in dominance from SAR11 to Rhodobacteraceae taxon at the surface. Our results propose the importance of the water mass movements as drivers of freshwater-borne nutrients and of allochthonous microbial taxa. This study emphasizes the prediction power based on association networks analyses that are fed with long-term measurements of microbial and environmental parameters. These interaction maps offer valuable insights into the response of marine ecosystem to climate- and anthropogenic-driven stressors.
C1 [Tinta, T.; Vojvoda, J.; Mozetic, P.; Talaber, I.; Vodopivec, M.; Turk, V.] Natl Inst Biol, Marine Biol Stn, Piran, Slovenia.
[Malfatti, F.] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
[Malfatti, F.] OGS Natl Inst Oceanog & Expt Geophys, Trieste, Italy.
RP Tinta, T (corresponding author), Natl Inst Biol, Marine Biol Stn, Piran, Slovenia.
EM tinta@mbss.org
CR Alcamo J, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P541
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso C, 2010, AQUAT MICROB ECOL, V61, P57, DOI 10.3354/ame01439
Alonso-Gutiérrez J, 2009, FEMS MICROBIOL ECOL, V70, P493, DOI 10.1111/j.1574-6941.2009.00766.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], 1999, METHODS SEAWATER ANA, DOI [10.1002/9783527613984, DOI 10.1002/9783527613984]
Arnds J, 2010, SYST APPL MICROBIOL, V33, P139, DOI 10.1016/j.syapm.2009.12.005
Bidle KD, 2001, LIMNOL OCEANOGR, V46, P1606, DOI 10.4319/lo.2001.46.7.1606
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Cantoni C, 2003, OCEANOL ACTA, V26, P565, DOI 10.1016/S0399-1784(03)00050-1
Celussi M, 2007, GENE, V406, P113, DOI 10.1016/j.gene.2007.07.010
Celussi M, 2011, FEMS MICROBIOL ECOL, V75, P77, DOI 10.1111/j.1574-6941.2010.00997.x
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Clarke KR., 2006, PRIMER VERSION 7 USE
Cozzi S, 2012, ESTUAR COAST SHELF S, V115, P14, DOI 10.1016/j.ecss.2012.03.005
Danovaro R, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007006
De Corte D, 2013, ENV MICROBIOL REP, V5, P272, DOI 10.1111/1758-2229.12013
Del Negro P, 2008, MAR ECOL-EVOL PERSP, V29, P375, DOI 10.1111/j.1439-0485.2008.00249.x
DON RH, 1991, NUCLEIC ACIDS RES, V19, P4008, DOI 10.1093/nar/19.14.4008
Ducklow HW, 2009, ANNU REV MAR SCI, V1, P279, DOI 10.1146/annurev.marine.010908.163801
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Faganeli J, 2009, MAR FRESHWATER RES, V60, P700, DOI 10.1071/MF08065
Fajon C, 1999, FEMS MICROBIOL ECOL, V29, P351, DOI 10.1111/j.1574-6941.1999.tb00626.x
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Giani M, 2012, ESTUAR COAST SHELF S, V115, P1, DOI 10.1016/j.ecss.2012.08.023
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015545
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni S., 1991, NUCL ACID TECHNIQUES, P177
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
Ludwig W, 2009, PROG OCEANOGR, V80, P199, DOI 10.1016/j.pocean.2009.02.001
Malacic V, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC003267
Malacic V, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC008063
Malacic V, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2008JC004904
Malai V., 2001, Regional Studies, P167, DOI DOI 10.1007/978-94-015-9819-4_6
Malej A, 2003, J PLANKTON RES, V25, P949, DOI 10.1093/plankt/25.8.949
Malfatti F, 2014, SCI TOTAL ENVIRON, V470, P1173, DOI [10.1016/j.scitotenv.2013.10.040, 10.1016/j.scit]
Mayali X, 2008, APPL ENVIRON MICROB, V74, P2595, DOI 10.1128/AEM.02191-07
Mozetic P, 2012, ESTUAR COAST SHELF S, V115, P138, DOI 10.1016/j.ecss.2012.02.009
Mozetic P, 2010, ESTUAR COAST, V33, P362, DOI 10.1007/s12237-009-9191-7
Muyzer G, 1998, ANTON LEEUW INT J G, V73, P127, DOI 10.1023/A:1000669317571
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nelson JD, 2008, FEMS MICROBIOL ECOL, V65, P484, DOI 10.1111/j.1574-6941.2008.00553.x
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Piccini C, 2006, APPL ENVIRON MICROB, V72, P6560, DOI 10.1128/AEM.01089-06
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Pugnetti A, 2008, MAR ECOL-EVOL PERSP, V29, P367, DOI 10.1111/j.1439-0485.2008.00237.x
Revilla M, 2000, ESTUAR COAST SHELF S, V50, P297, DOI 10.1006/ecss.1999.0576
Rissik D, 2009, ESTUAR COAST SHELF S, V84, P99, DOI 10.1016/j.ecss.2009.06.009
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Sjöstedt J, 2013, AQUAT MICROB ECOL, V71, P15, DOI 10.3354/ame01660
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Smith VH, 2009, TRENDS ECOL EVOL, V24, P201, DOI 10.1016/j.tree.2008.11.009
Solidoro C, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2008JC004838
Talaber I, 2014, PHYCOLOGIA, V53, P74, DOI 10.2216/13-196.1
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tinta T, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039274
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
TURK V, 1992, APPL ENVIRON MICROB, V58, P3744, DOI 10.1128/AEM.58.11.3744-3750.1992
Turk V, 2010, AQUAT MICROB ECOL, V61, P279, DOI 10.3354/ame01447
Turk Valentina, 2007, Annales Series Historia Naturalis, V17, P197
Umani SF, 2007, AQUAT MICROB ECOL, V46, P163
Utermohl Hans, 1958, Internationale Vereinigung Fur Theoretische Und Angewandte Limnologie: Mitteilungen, DOI DOI 10.1080/05384680.1958.11904091
Vázquez-Domínguez E, 2012, AQUAT MICROB ECOL, V67, P107, DOI 10.3354/ame01583
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
NR 82
TC 66
Z9 73
PD OCT
PY 2015
VL 17
IS 10
SI SI
BP 3581
EP 3596
DI 10.1111/1462-2920.12519
UT WOS:000363448500013
DA 2025-07-30
ER
PT J
AU Collins, RE
Rocap, G
Deming, JW
AF Collins, R. Eric
Rocap, Gabrielle
Deming, Jody W.
TI Persistence of bacterial and archaeal communities in sea ice through an
Arctic winter
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The structure of bacterial communities in first-year spring and summer sea ice differs from that in source seawaters, suggesting selection during ice formation in autumn or taxon-specific mortality in the ice during winter. We tested these hypotheses by weekly sampling (January March 2004) of first-year winter sea ice (Franklin Bay, Western Arctic) that experienced temperatures from -9 degrees C to -26 degrees C, generating community fingerprints and clone libraries for Bacteria and Archaea. Despite severe conditions and significant decreases in microbial abundance, no significant changes in richness or community structure were detected in the ice. Communities of Bacteria and Archaea in the ice, as in under-ice seawater, were dominated by SAR11 clade Alphaproteobacteria and Marine Group I Crenarchaeota, neither of which is known from later season sea ice. The bacterial ice library contained clones of Gammaproteobacteria from oligotrophic seawater clades (e.g. OM60, OM182) but no clones from gammaproteobacterial genera commonly detected in later season sea ice by similar methods (e.g. Colwellia, Psychrobacter). The only common sea ice bacterial genus detected in winter ice was Polaribacter. Overall, selection during ice formation and mortality during winter appear to play minor roles in the process of microbial succession that leads to distinctive spring and summer sea ice communities.
C1 [Collins, R. Eric; Rocap, Gabrielle; Deming, Jody W.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
RP Collins, RE (corresponding author), Univ Washington, Sch Oceanog, Box 357940,1503 NE Boat St, Seattle, WA 98195 USA.
EM rec3141@ocean.washington.edu
CR Alm EW, 1996, APPL ENVIRON MICROB, V62, P3557, DOI 10.1128/AEM.62.10.3557-3559.1996
Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Ashelford KE, 2006, APPL ENVIRON MICROB, V72, P5734, DOI 10.1128/AEM.00556-06
Auman AJ, 2006, INT J SYST EVOL MICR, V56, P1001, DOI 10.1099/ijs.0.64068-0
Bano N, 2004, APPL ENVIRON MICROB, V70, P781, DOI 10.1128/AEM.70.2.781-789.2004
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Bowman JP, 1997, APPL ENVIRON MICROB, V63, P3068, DOI 10.1128/AEM.63.8.3068-3078.1997
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Brown MV, 2001, FEMS MICROBIOL ECOL, V35, P267, DOI 10.1016/S0168-6496(01)00100-3
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Button DK, 2001, APPL ENVIRON MICROB, V67, P1636, DOI 10.1128/AEM.67.4.1636-1645.2001
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
Clarke KR, 2006, PRIMER v6: User Manual/Tutorial
Collins RE, 2008, J MARINE SYST, V74, P902, DOI 10.1016/j.jmarsys.2007.09.005
Collins RE, 2007, NUCLEIC ACIDS RES, V35, pW58, DOI 10.1093/nar/gkm384
Delbrück M, 1940, J GEN PHYSIOL, V23, P643, DOI 10.1085/jgp.23.5.643
Delille D, 1997, MICROBIAL ECOL, V33, P97, DOI 10.1007/s002489900012
Delille D, 1996, POLAR BIOL, V16, P27, DOI 10.1007/BF01876826
DELONG EF, 1994, NATURE, V371, P695, DOI 10.1038/371695a0
Deming JW., 2009, SEA ICE, P247
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
Fetterer F., 2002, SEA ICE INDEX
Fiala M, 2006, AQUAT MICROB ECOL, V43, P95, DOI 10.3354/ame043095
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Galand PE, 2008, LIMNOL OCEANOGR, V53, P813, DOI 10.4319/lo.2008.53.2.0813
Galand PE, 2006, AQUAT MICROB ECOL, V44, P115, DOI 10.3354/ame044115
Galand PE, 2009, ENVIRON MICROBIOL, V11, P971, DOI 10.1111/j.1462-2920.2008.01822.x
Galand PE, 2008, J MARINE SYST, V74, P774, DOI 10.1016/j.jmarsys.2007.12.001
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Golden KM, 1998, SCIENCE, V282, P2238, DOI 10.1126/science.282.5397.2238
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Gosink JJ, 1998, INT J SYST BACTERIOL, V48, P223, DOI 10.1099/00207713-48-1-223
GROSSMANN S, 1994, MICROB ECOL, V28, P1, DOI 10.1007/BF00170244
Grzymski JJ, 2006, APPL ENVIRON MICROB, V72, P1532, DOI 10.1128/AEM.72.2.1532-1541.2006
Hahn M, 2001, ELECTROPHORESIS, V22, P2691, DOI 10.1002/1522-2683(200108)22:13<2691::AID-ELPS2691>3.0.CO;2-S
Helmke E, 2004, CELL MOL BIOL, V50, P553
HELMKE E, 1995, MAR ECOL PROG SER, V117, P269, DOI 10.3354/meps117269
Hewson I, 2007, ENVIRON MICROBIOL, V9, P923, DOI 10.1111/j.1462-2920.2006.01214.x
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Hughes JB, 2001, APPL ENVIRON MICROB, V67, P4399, DOI 10.1128/AEM.67.10.4399-4406.2001
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Junge K, 2004, APPL ENVIRON MICROB, V70, P550, DOI 10.1128/AEM.70.1.550-557.2004
Junge K, 2002, MICROBIAL ECOL, V43, P315, DOI 10.1007/s00248-001-1026-4
Junge K, 2001, ANN GLACIOL, V33, P304, DOI 10.3189/172756401781818275
Junge K, 1998, SYST APPL MICROBIOL, V21, P306, DOI 10.1016/S0723-2020(98)80038-6
Kaartokallio H, 2005, APPL ENVIRON MICROB, V71, P4364, DOI 10.1128/AEM.71.8.4364-4371.2005
Kaartokallio H, 2008, POLAR BIOL, V31, P783, DOI 10.1007/s00300-008-0416-1
KANEKO T, 1977, NATURE, V270, P596, DOI 10.1038/270596a0
Kellogg CTE, 2009, AQUAT MICROB ECOL, V57, P1, DOI 10.3354/ame01317
Krembs C, 2002, DEEP-SEA RES PT I, V49, P2163, DOI 10.1016/S0967-0637(02)00122-X
Krembs Christopher, 2008, P247, DOI 10.1007/978-3-540-74335-4_15
Lovejoy C, 2006, APPL ENVIRON MICROB, V72, P3085, DOI 10.1128/AEM.72.5.3085-3095.2006
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Macdonald RW, 1998, MAR GEOL, V144, P255, DOI 10.1016/S0025-3227(97)00106-0
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Marx JG, 2009, CAN J MICROBIOL, V55, P63, DOI 10.1139/W08-130
Massana R, 2006, ENVIRON MICROBIOL, V8, P1515, DOI 10.1111/j.1462-2920.2006.01042.x
Meiners K, 2004, AQUAT MICROB ECOL, V35, P283, DOI 10.3354/ame035283
Mock T, 2005, ENVIRON MICROBIOL, V7, P605, DOI 10.1111/j.1462-2920.2005.00781.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Nichols CAM, 2005, MAR BIOTECHNOL, V7, P253, DOI 10.1007/s10126-004-5118-2
Osborn AM, 2000, ENVIRON MICROBIOL, V2, P39, DOI 10.1046/j.1462-2920.2000.00081.x
Posada D, 1998, BIOINFORMATICS, V14, P817, DOI 10.1093/bioinformatics/14.9.817
R Core Team, 2022, R LANG ENV STAT COMP
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schloss PD, 2004, APPL ENVIRON MICROB, V70, P5485, DOI 10.1128/AEM.70.9.5485-5492.2004
Serreze MC, 2007, SCIENCE, V315, P1533, DOI 10.1126/science.1139426
Swofford D. L., 2003, PAUP PHYLOGENETIC AN
TAMURA K, 1993, MOL BIOL EVOL, V10, P512, DOI 10.1093/oxfordjournals.molbev.a040023
Thompson JR, 2002, NUCLEIC ACIDS RES, V30, P2083, DOI 10.1093/nar/30.9.2083
Wells LE, 2006, LIMNOL OCEANOGR, V51, P47, DOI 10.4319/lo.2006.51.1.0047
Wells LE, 2003, AQUAT MICROB ECOL, V31, P19, DOI 10.3354/ame031019
Wells LE, 2006, AQUAT MICROB ECOL, V45, P15, DOI 10.3354/ame045015
Wells LE, 2006, ENVIRON MICROBIOL, V8, P1115, DOI 10.1111/j.1462-2920.2006.00984.x
NR 78
TC 115
Z9 139
PD JUL
PY 2010
VL 12
IS 7
BP 1828
EP 1841
DI 10.1111/j.1462-2920.2010.02179.x
UT WOS:000280101200004
DA 2025-07-30
ER
PT J
AU Liu, Y
Blain, S
Crispi, O
Rembauville, M
Obernosterer, I
AF Liu, Yan
Blain, Stephane
Crispi, Olivier
Rembauville, Mathieu
Obernosterer, Ingrid
TI Seasonal dynamics of prokaryotes and their associations with diatoms in
the Southern Ocean as revealed by an autonomous sampler
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The Southern Ocean remains one of the least explored marine environments. The investigation of temporal microbial dynamics has thus far been hampered by the limited access to this remote ocean. We present here high-resolution seasonal observations of the prokaryotic community composition during phytoplankton blooms induced by natural iron fertilization. A total of 18 seawater samples were collected by a moored remote autonomous sampler over 4 months at 5-11 day intervals in offshore surface waters (central Kerguelen Plateau). Illumina sequencing of the 16S rRNA gene revealed that among the most abundant amplicon sequence variants, SAR92 andAurantivirgawere the first bloom responders,Pseudomonadaceae,NitrincolaceaeandPolaribacterhad successive peaks during the spring bloom decline, andAmylibacterincreased in relative abundance later in the season. SAR11 and SUP05 were abundant prior to and after the blooms. Using network analysis, we identified two groups of diatoms representative of the spring and summer bloom that had opposite correlation patterns with prokaryotic taxa. Our study provides the first seasonal picture of microbial community dynamics in the open Southern Ocean and thereby offers biological insights to the cycling of carbon and iron, and to an important puzzling issue that is the modest nitrate decrease associated to iron fertilization.
C1 [Liu, Yan; Blain, Stephane; Crispi, Olivier; Rembauville, Mathieu; Obernosterer, Ingrid] Sorbonne Univ, CNRS, Lab Oceanog Microbienne LOMIC, Banyuls Sur Mer, France.
[Liu, Yan] Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
[Liu, Yan] Ludong Univ, Sch Life Sci, Yantai, Peoples R China.
RP Obernosterer, I (corresponding author), Sorbonne Univ, CNRS, Lab Oceanog Microbienne LOMIC, Banyuls Sur Mer, France.
EM ingrid.obernosterer@obs-banyuls.fr
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
[Anonymous], 2014, BIOGEOSCIENCES DISCU
Blain S, 2008, DEEP-SEA RES PT II, V55, P594, DOI 10.1016/j.dsr2.2007.12.028
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Buttigieg PL, 2018, CURR OPIN MICROBIOL, V43, P169, DOI 10.1016/j.mib.2018.01.015
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Dadaglio L, 2019, AQUAT MICROB ECOL, V82, P59, DOI 10.3354/ame01883
Debeljak P, 2019, ENVIRON MICROBIOL, V21, P2360, DOI 10.1111/1462-2920.14621
Dinasquet J, 2017, ENVIRON MICROBIOL, V19, P2453, DOI 10.1111/1462-2920.13769
Farías L, 2015, BIOGEOSCIENCES, V12, P1925, DOI 10.5194/bg-12-1925-2015
Fourquez M, 2015, BIOGEOSCIENCES, V12, P1893, DOI 10.5194/bg-12-1893-2015
Fourquez M, 2020, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00776
Fourquez M, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00256
Fripiat F, 2015, GLOBAL BIOGEOCHEM CY, V29, P1929, DOI 10.1002/2014GB005051
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grossart HP, 2003, MAR ECOL PROG SER, V249, P69, DOI 10.3354/meps249069
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Hahnke S, 2013, SYST APPL MICROBIOL, V36, P39, DOI 10.1016/j.syapm.2012.09.004
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Huang HW, 2015, J COMPUT GRAPH STAT, V24, P975, DOI 10.1080/10618600.2014.948179
Huang XJ, 2019, BIORESOURCE TECHNOL, V277, P87, DOI 10.1016/j.biortech.2019.01.040
Irion S., 2020, LIMNOL OCEANOGR, V9999, P1
Kappelmann L, 2019, ISME J, V13, P76, DOI 10.1038/s41396-018-0242-6
Katoh K, 2019, BRIEF BIOINFORM, V20, P1160, DOI 10.1093/bib/bbx108
Kirchman DL, 1996, NATURE, V383, P303, DOI 10.1038/383303a0
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Kuypers MMM, 2018, NAT REV MICROBIOL, V16, P263, DOI 10.1038/nrmicro.2018.9
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Lambert S, 2019, ISME J, V13, P388, DOI 10.1038/s41396-018-0281-z
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lasbleiz M, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw171
Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Liu Y, 2019, ENVIRON MICROBIOL, V21, P1452, DOI 10.1111/1462-2920.14579
Liu Y, 2008, J AM STAT ASSOC, V103, P1281, DOI 10.1198/016214508000000454
Luria CM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02117
Luria CM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01731
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Moran MA, 2019, NAT REV MICROBIOL, V17, P665, DOI 10.1038/s41579-019-0250-1
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Mori JF, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02435
Mühlenbruch M, 2018, ENVIRON MICROBIOL, V20, P2671, DOI 10.1111/1462-2920.14302
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Obernosterer I, 2008, DEEP-SEA RES PT II, V55, P777, DOI 10.1016/j.dsr2.2007.12.005
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Offre P, 2013, ANNU REV MICROBIOL, V67, P437, DOI 10.1146/annurev-micro-092412-155614
Oksanen, 2022, VEGAN COMMUNITY ECOL
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pellichero V, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL085992
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rembauville M, 2017, J GEOPHYS RES-OCEANS, V122, P8278, DOI 10.1002/2017JC013067
Rigual-Hernández AS, 2016, PALAEOGEOGR PALAEOCL, V457, P129, DOI 10.1016/j.palaeo.2016.06.004
Rogge A, 2017, ENVIRON MICROBIOL, V19, P2495, DOI 10.1111/1462-2920.13783
Ruan QS, 2006, BIOINFORMATICS, V22, P2532, DOI 10.1093/bioinformatics/btl417
Sarthou G, 2008, DEEP-SEA RES PT II, V55, P734, DOI 10.1016/j.dsr2.2007.12.033
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Stein LY, 2016, CURR BIOL, V26, pR94, DOI 10.1016/j.cub.2015.12.021
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun Y, 2017, ENVIRON MICROBIOL, V19, P1625, DOI 10.1111/1462-2920.13683
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tada Y, 2017, J EXP MAR BIOL ECOL, V495, P119, DOI 10.1016/j.jembe.2017.06.006
Tagliabue A, 2014, NAT GEOSCI, V7, P314, DOI [10.1038/NGEO2101, 10.1038/ngeo2101]
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Timmermans KR, 2004, LIMNOL OCEANOGR, V49, P2141, DOI 10.4319/lo.2004.49.6.2141
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Xu Y, 2017, BIOMED RES INT, V2017, DOI 10.1155/2017/1429018
NR 85
TC 41
Z9 44
PD SEP
PY 2020
VL 22
IS 9
BP 3968
EP 3984
DI 10.1111/1462-2920.15184
EA SEP 2020
UT WOS:000565331500001
DA 2025-07-30
ER
PT J
AU Schütte, UME
Cadieux, SB
Hemmerich, C
Pratt, LM
White, JR
AF Schutte, Ursel M. E.
Cadieux, Sarah B.
Hemmerich, Chris
Pratt, Lisa M.
White, Jeffrey R.
TI Unanticipated Geochemical and Microbial Community Structure under
Seasonal Ice Cover in a Dilute, Dimictic Arctic Lake
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Despite most lakes in the Arctic being perennially or seasonally frozen for at least 40% of the year, little is known about microbial communities and nutrient cycling under ice cover. We assessed the vertical microbial community distribution and geochemical composition in early spring under ice in a seasonally ice-covered lake in southwest Greenland using amplicon-based sequencing that targeted 16S rRNA genes and using a combination of field and laboratory aqueous geochemical methods. Microbial communities changed consistently with changes in geochemistry. Composition of the abundant members responded strongly to redox conditions, shifting downward from a predominantly heterotrophic aerobic community in the suboxic waters to a heterotrophic anaerobic community in the anoxic waters. Operational taxonomic units (OTUs) of Sporichthyaceae, Comamonadaceae, and the SAR11 Clade had higher relative abundances above the oxycline and OTUs within the genus Methylobacter, the phylum Lentisphaerae, and purple sulfur bacteria (PSB) below the oxycline. Notably, a 13-fold increase in sulfide at the oxycline was reflected in an increase and change in community composition of potential sulfur oxidizers. Purple non-sulfur bacteria were present above the oxycline and green sulfur bacteria and PSB coexisted below the oxycline, however, PSB were most abundant. For the first time we show the importance of PSB as potential sulfur oxidizers in an Arctic dimictic lake.
C1 [Schutte, Ursel M. E.; White, Jeffrey R.] Indiana Univ, Integrated Program Environm, Bloomington, IN 47405 USA.
[Schutte, Ursel M. E.] Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK 99775 USA.
[Cadieux, Sarah B.; Pratt, Lisa M.] Indiana Univ, Dept Geol Sci, Bloomington, IN 47405 USA.
[Cadieux, Sarah B.] Univ Illinois, Chicago, IL USA.
[Hemmerich, Chris] Indiana Univ, Ctr Genom & Bioinformat, Bloomington, IN USA.
[White, Jeffrey R.] Indiana Univ, Sch Publ & Environm Affairs, Bloomington, IN USA.
RP Schütte, UME (corresponding author), Indiana Univ, Integrated Program Environm, Bloomington, IN 47405 USA.; Schütte, UME (corresponding author), Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK 99775 USA.
EM uschuette@alaska.edu
CR Abed RMM, 2013, ISME J, V7, P1862, DOI 10.1038/ismej.2013.55
Abella C., 1979, SHALLOW LAKES CONTRI
Alawi M, 2007, ISME J, V1, P256, DOI 10.1038/ismej.2007.34
Anderson N.J., 2002, GEOLOGY GREENLAND SU, V191, P144, DOI [DOI 10.34194/GGUB.V191.5142, 10.34194/ggub.v191.5142]
Anderson N.J. Brodersen., 2001, GEOLOGY GREENLAND SU, V189, P54, DOI DOI 10.34194/GGUB.V189.5156
Anderson NJ, 2001, ARCT ANTARCT ALP RES, V33, P418, DOI 10.2307/1552551
Auguet JC, 2013, FEMS MICROBIOL ECOL, V84, P154, DOI 10.1111/1574-6941.12047
Bastviken D, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000608
Beal EJ, 2009, SCIENCE, V325, P184, DOI 10.1126/science.1169984
Beall BFN, 2016, ENVIRON MICROBIOL, V18, P1704, DOI 10.1111/1462-2920.12819
Bellido JL, 2009, J GEOPHYS RES-BIOGEO, V114, DOI 10.1029/2009JG000923
Bennike O, 2000, PALAEOGEOGR PALAEOCL, V155, P285, DOI 10.1016/S0031-0182(99)00121-2
Bergström AK, 2000, MICROBIAL ECOL, V39, P101, DOI 10.1007/s002480000007
Bertilsson S, 2013, LIMNOL OCEANOGR, V58, P1998, DOI 10.4319/lo.2013.58.6.1998
Bielewicz S, 2011, ISME J, V5, P1559, DOI 10.1038/ismej.2011.23
Blankenship R.E., 1995, ANOXYGENIC PHOTOSYNT
Boetius A, 2000, NATURE, V407, P623, DOI 10.1038/35036572
Borrel G, 2011, RES MICROBIOL, V162, P832, DOI 10.1016/j.resmic.2011.06.004
Cadieux SB, 2016, GEOCHIM COSMOCHIM AC, V187, P141, DOI 10.1016/j.gca.2016.05.004
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
Colcord DE, 2015, ORG GEOCHEM, V82, P33, DOI 10.1016/j.orggeochem.2015.02.005
Comeau AM, 2012, SCI REP-UK, V2, DOI 10.1038/srep00604
Conrad R, 2007, LIMNOL OCEANOGR, V52, P1393, DOI 10.4319/lo.2007.52.4.1393
Cui MM, 2015, MICROBIOLOGYOPEN, V4, P1, DOI 10.1002/mbo3.232
Dahl Christiane, 2008, V27, P289
Deutzmann JS, 2011, APPL ENVIRON MICROB, V77, P4429, DOI 10.1128/AEM.00340-11
Di Rienzi SC, 2013, ELIFE, V2, DOI 10.7554/eLife.01102
Dodsworth JA, 2011, ENVIRON MICROBIOL, V13, P2371, DOI 10.1111/j.1462-2920.2011.02508.x
Drevnick PE, 2010, ENVIRON SCI TECHNOL, V44, P8415, DOI 10.1021/es101991p
Epstein SS, 2009, NATURE, V457, P1083, DOI 10.1038/4571083a
Etchebehere C, 2001, INT J SYST EVOL MICR, V51, P977, DOI 10.1099/00207713-51-3-977
Fernandes SO, 2010, J ENVIRON QUAL, V39, P1507, DOI 10.2134/jeq2009.0477
Frigaard NU, 2009, ADV MICROB PHYSIOL, V54, P103, DOI 10.1016/S0065-2911(08)00002-7
Ginige MP, 2005, APPL ENVIRON MICROB, V71, P8683, DOI 10.1128/AEM.71.12.8683-8691.2005
Glatz RE, 2006, GEOBIOLOGY, V4, P53, DOI 10.1111/j.1472-4669.2006.00057.x
Goldman A. E., 2016, LIMNOL OCEANOGR-METH, V49, P13825, DOI [10.1002/10m3.10070, DOI 10.1002/10M3.10070]
Gregersen LH, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00116
GUERRERO R, 1985, LIMNOL OCEANOGR, V30, P919, DOI 10.4319/lo.1985.30.5.0919
Haroon MF, 2013, NATURE, V500, P567, DOI 10.1038/nature12375
Henry S, 2006, APPL ENVIRON MICROB, V72, P5181, DOI 10.1128/AEM.00231-06
Holkenbrink C, 2011, MICROBIOL-SGM, V157, P1229, DOI 10.1099/mic.0.044669-0
Imhoff JF, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 6, THIRD EDITION, P846, DOI 10.1007/0-387-30746-x_31
Jensen S.M., 2002, Geology of Greenland Survey Bulletin, V191, P57
Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107
Jorgensen AS, 2007, COLD REG SCI TECHNOL, V48, P64, DOI 10.1016/j.coldregions.2006.10.007
Juutinen S, 2009, BIOGEOSCIENCES, V6, P209, DOI 10.5194/bg-6-209-2009
Karr EA, 2006, APPL ENVIRON MICROB, V72, P1663, DOI 10.1128/AEM.72.2.1663-1666.2006
Karr EA, 2005, APPL ENVIRON MICROB, V71, P6353, DOI 10.1128/AEM.71.10.6353-6359.2005
Karr EA, 2003, APPL ENVIRON MICROB, V69, P4910, DOI 10.1128/AEM.69.8.4910-4914.2003
Knittel K, 2005, APPL ENVIRON MICROB, V71, P467, DOI 10.1128/AEM.71.1.467-479.2005
Koizumi Y, 2003, FEMS MICROBIOL ECOL, V44, P101, DOI 10.1016/S0168-6496(02)00463-4
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Kuenen JG, 2008, NAT REV MICROBIOL, V6, P320, DOI 10.1038/nrmicro1857
Lauro FM, 2011, ISME J, V5, P879, DOI 10.1038/ismej.2010.185
Lehtovirta LE, 2009, FEMS MICROBIOL ECOL, V70, P367, DOI 10.1111/j.1574-6941.2009.00748.x
Lide D.R., 1995, CRC Handbook of Chemistry and Physics
LOVLEY DR, 1982, APPL ENVIRON MICROB, V43, P1373, DOI 10.1128/AEM.43.6.1373-1379.1982
Maixner F, 2006, ENVIRON MICROBIOL, V8, P1487, DOI 10.1111/j.1462-2920.2006.01033.x
Milucka J, 2012, NATURE, V491, P541, DOI 10.1038/nature11656
Nakano M.M., 2004, Strict and facultative anaerobes: medical and environmental aspects
Neubauer H, 1996, J BACTERIOL, V178, P2005, DOI 10.1128/jb.178.7.2005-2009.1996
Ochsenreiter T, 2003, ENVIRON MICROBIOL, V5, P787, DOI 10.1046/j.1462-2920.2003.00476.x
Peduzzi S, 2011, INT J SYST EVOL MICR, V61, P1682, DOI 10.1099/ijs.0.010397-0
Personnic S, 2009, HYDROBIOLOGIA, V627, P99, DOI 10.1007/s10750-009-9718-8
Phelps AR, 1998, J GEOPHYS RES-ATMOS, V103, P29029, DOI 10.1029/98JD00044
Pouliot J, 2009, ENVIRON MICROBIOL, V11, P687, DOI 10.1111/j.1462-2920.2008.01846.x
Purdy KJ, 2003, APPL ENVIRON MICROB, V69, P3181, DOI 10.1128/AEM.69.6.3181-3191.2003
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ren T, 1997, CAN J MICROBIOL, V43, P925, DOI 10.1139/m97-133
Reuss NS, 2013, FRESHWATER BIOL, V58, P690, DOI 10.1111/fwb.12073
Rogozin DY, 2009, AQUAT ECOL, V43, P661, DOI 10.1007/s10452-009-9270-7
Rogozin DY, 2012, MICROBIOLOGY+, V81, P727, DOI 10.1134/S0026261712060148
Saikin SK, 2014, SCI REP-UK, V4, DOI 10.1038/srep05057
Schleper C, 2005, NAT REV MICROBIOL, V3, P479, DOI 10.1038/nrmicro1159
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Song CC, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034009
Stahl DA, 2012, ANNU REV MICROBIOL, V66, P83, DOI 10.1146/annurev-micro-092611-150128
Stomp M, 2004, NATURE, V432, P104, DOI 10.1038/nature03044
Stomp M, 2007, ISME J, V1, P271, DOI 10.1038/ismej.2007.59
Szynkiewicz A, 2009, GEOCHIM COSMOCHIM AC, V73, P6162, DOI 10.1016/j.gca.2009.07.009
Taipale S, 2011, AQUAT MICROB ECOL, V64, P81, DOI 10.3354/ame01512
Tonolla M, 1999, APPL ENVIRON MICROB, V65, P1325
Tranvik LJ, 2009, LIMNOL OCEANOGR, V54, P2298, DOI 10.4319/lo.2009.54.6_part_2.2298
TULONEN T, 1993, MICROBIAL ECOL, V26, P201, DOI 10.1007/BF00176953
TULONEN T, 1994, J PLANKTON RES, V16, P1411, DOI 10.1093/plankt/16.10.1411
Twiss MR, 2012, J GREAT LAKES RES, V38, P18, DOI 10.1016/j.jglr.2011.12.008
van Bodegom P, 2001, APPL ENVIRON MICROB, V67, P3586, DOI 10.1128/AEM.67.8.3586-3597.2001
Velusamy K, 2013, APPL BIOCHEM BIOTECH, V169, P1978, DOI 10.1007/s12010-013-0109-2
Vila X, 2001, HYDROBIOLOGIA, V452, P15, DOI 10.1023/A:1011909330390
Villaescusa JA, 2010, INT MICROBIOL, V13, P67, DOI 10.2436/20.1501.01.112
Vincent W.F., 2013, Climatic Change and Global Warming of Inland Waters: Impacts and Mitigation for Ecosystems and Societies, V2, P27, DOI 10.1002/9781118470596
Voytek MA, 1998, ANTARCT RES SER, V72, P217
Walsh SE, 1998, J GEOPHYS RES-ATMOS, V103, P28825, DOI 10.1029/98JD02275
Webster KD, 2015, ARCT ANTARCT ALP RES, V47, P599, DOI 10.1657/AAAR0014-051
WESTENDORF RG, 1985, J CHROMATOGR SCI, V23, P521, DOI 10.1093/chromsci/23.11.521
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Zhang CL, 2008, APPL ENVIRON MICROB, V74, P6417, DOI 10.1128/AEM.00843-08
Zhang LM, 2010, P NATL ACAD SCI USA, V107, P17240, DOI 10.1073/pnas.1004947107
Zhu BL, 2012, APPL ENVIRON MICROB, V78, P8657, DOI 10.1128/AEM.02102-12
NR 101
TC 20
Z9 23
PD JUL 5
PY 2016
VL 7
AR 1035
DI 10.3389/fmicb.2016.01035
UT WOS:000443464600001
DA 2025-07-30
ER
PT J
AU Straza, TRA
Cottrell, MT
Ducklow, HW
Kirchman, DL
AF Straza, Tiffany R. A.
Cottrell, Matthew T.
Ducklow, Hugh W.
Kirchman, David L.
TI Geographic and Phylogenetic Variation in Bacterial Biovolume as Revealed
by Protein and Nucleic Acid Staining
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Biovolume is an important characteristic of cells that shapes the contribution of microbes to total biomass and biogeochemical cycling. Most studies of bacterial cell volumes use DAPI (4',6'-diamidino-2-phenylindole), which stains nucleic acids and therefore only a portion of the cell. We used SYPRO Ruby protein stain combined with fluorescence in situ hybridization to examine biovolumes of bacteria in the total community, as well in phylogenetic subgroups. Protein-based volumes varied more and were consistently larger than DNA-based volumes by 3.3-fold on average. Bacterial cells were ca. 30% larger in the Arctic Ocean and Antarctic coastal waters than in temperate regimes. We hypothesized that geographic differences in the abundance of specific bacterial groups drove the observed patterns in biovolume. In support of this hypothesis, we found that Gammaproteobacteria and members of the Sphingobacteria-Flavobacteria group were larger in higher-latitude waters and that the mean volumes of both groups were larger than the mean bacterial volume in all environments tested. The mean cell size of SAR11 bacteria was larger than the mean cell size of the total bacterial community on average, although this varied. Protein staining increases the accuracy of biovolume measurements and gives insights into how the biomass of marine microbial communities varies over time and space.
C1 [Straza, Tiffany R. A.; Cottrell, Matthew T.; Kirchman, David L.] Univ Delaware, Coll Marine & Earth Studies, Lewes, DE 19958 USA.
[Ducklow, Hugh W.] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Coll Marine & Earth Studies, 700 Pilottown Rd, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
BAKER RM, 1983, APPL ENVIRON MICROB, V46, P930, DOI 10.1128/AEM.46.4.930-940.1983
BALDWIN WW, 1988, APPL ENVIRON MICROB, V54, P105, DOI 10.1128/AEM.54.1.105-109.1988
Berggren K, 2000, ELECTROPHORESIS, V21, P2509, DOI 10.1002/1522-2683(20000701)21:12<2509::AID-ELPS2509>3.3.CO;2-0
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bölter M, 2002, BIOL FERT SOILS, V36, P249, DOI 10.1007/s00374-002-0537-6
BUTTON DK, 1994, MICROBIAL ECOL, V28, P273, DOI 10.1007/BF00166817
Carlson CA, 1996, DEEP-SEA RES PT II, V43, P491, DOI 10.1016/0967-0645(95)00101-8
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Gasol JM, 1995, MAR ECOL PROG SER, V128, P91, DOI 10.3354/meps128091
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Gundersen K, 2002, LIMNOL OCEANOGR, V47, P1525, DOI 10.4319/lo.2002.47.5.1525
Hahn MW, 2001, FEMS MICROBIOL ECOL, V35, P113, DOI 10.1111/j.1574-6941.2001.tb00794.x
Jugnia LB, 1998, HYDROBIOLOGIA, V385, P113, DOI 10.1023/A:1003453709384
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
La Ferla R, 2005, MAR ECOL-EVOL PERSP, V26, P82, DOI 10.1111/j.1439-0485.2005.00049.x
LEBARON P, 1994, APPL ENVIRON MICROB, V60, P4345, DOI 10.1128/AEM.60.12.4345-4350.1994
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
Long RA, 1996, AQUAT MICROB ECOL, V10, P213, DOI 10.3354/ame010213
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Mock T, 1997, MAR ECOL PROG SER, V158, P23, DOI 10.3354/meps158023
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MOYER CL, 1989, APPL ENVIRON MICROB, V55, P2710, DOI 10.1128/AEM.55.10.2710-2716.1989
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
SCHAECHTER M, 1958, J GEN MICROBIOL, V19, P592, DOI 10.1099/00221287-19-3-592
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Steward GF, 1996, MAR ECOL PROG SER, V131, P287, DOI 10.3354/meps131287
Steward GF, 2007, DEEP-SEA RES PT I, V54, P1744, DOI 10.1016/j.dsr.2007.04.019
SUZUKI MT, 1993, LIMNOL OCEANOGR, V38, P1566, DOI 10.4319/lo.1993.38.7.1566
Weinbauer MG, 1998, AQUAT MICROB ECOL, V15, P103, DOI 10.3354/ame015103
WIEBE WJ, 1992, APPL ENVIRON MICROB, V58, P359, DOI 10.1128/AEM.58.1.359-364.1992
Zubkov MV, 1999, APPL ENVIRON MICROB, V65, P3251
ZWEIFEL UL, 1995, APPL ENVIRON MICROB, V61, P2180, DOI 10.1128/AEM.61.6.2180-2185.1995
NR 48
TC 33
Z9 38
PD JUN 15
PY 2009
VL 75
IS 12
BP 4028
EP 4034
DI 10.1128/AEM.00183-09
UT WOS:000266782300024
DA 2025-07-30
ER
PT J
AU Ohkusa, T
Kato, K
Sekizuka, T
Sugiyama, T
Sato, N
Kuroda, M
AF Ohkusa, Toshifumi
Kato, Kimitoshi
Sekizuka, Tsuyoshi
Sugiyama, Toshiro
Sato, Nobuhiro
Kuroda, Makoto
TI Comparison of the Gut Microbiota of Patients Who Improve with Antibiotic
Combination Therapy for Ulcerative Colitis and Those Who Do Not:
Investigation by Fecal Metagenomic Analyses
SO NUTRIENTS
DT Article
AB Background/Objectives: The cause of ulcerative colitis (UC) may be related to commensal bacteria in genetically susceptible patients. We previously demonstrated that triple antibiotic combination therapy induces remission in patients with active UC in randomized controlled trials (RCTs). Now, we investigate changes in the gut microbiota of patients who responded to the antibiotic combination therapy. Methods: Thirty-one patients with UC given ATM/AFM (amoxicillin, metronidazole, and tetracycline or fosfomycin) therapy for two weeks were enrolled in this study. The clinical conditions of these UC patients were evaluated by the partial Mayo score. The gut microbiota was compared via the metagenomic shot gun analysis of fecal samples. Results: Of the 31 patients, 16 and 8 experienced complete and partial remission, respectively, over three months in response to ATM/AFM therapy, whereas ATM/AFM showed no efficacy in 7 patients. The dysbiosis before treatment in the active stage could be associated with increased populations of Bacteroides, Parabacteroides, Rickenella, Clostridium, Flavonifractor, Pelagibacter, Bordetella, Massilia, and Piscrickettsia species. Metagenomic analysis revealed dramatic changes in the gut microbiota at an early stage, that is, just two weeks after starting ATM/AFM therapy. After treatment in the responder group, the populations of bifidobacterium and lactobacilli species were significantly increased, while the population of bacteroides decreased. Conclusions: These results suggest that metagenomic analysis demonstrated a marked change in the gut microbiota after antibiotic combination treatment. In the triple antibiotic combination therapy, remission was associated with an increase in bifidobacterium and lactobacilli species.
C1 [Ohkusa, Toshifumi; Sato, Nobuhiro] Juntendo Univ, Dept Microbiota Res, Grad Sch Med, Tokyo 1130033, Japan.
[Ohkusa, Toshifumi] Jikei Univ, Sch Med, Div Gastroenterol & Hepatol, Dept Internal Med, Kashiwa, Chiba 2778567, Japan.
[Kato, Kimitoshi] Nihon Univ, Sch Med, Div Res Planning & Dev, Tokyo 1738610, Japan.
[Sekizuka, Tsuyoshi; Kuroda, Makoto] Natl Inst Infect Dis, Pathogen Genom Ctr, Tokyo 1628640, Japan.
[Sugiyama, Toshiro] Hokkaido Univ Hosp, Adv Gastrointestinal Canc Mol Targeted Therapy &, Sapporo 0608648, Japan.
RP Ohkusa, T (corresponding author), Juntendo Univ, Dept Microbiota Res, Grad Sch Med, Tokyo 1130033, Japan.; Ohkusa, T (corresponding author), Jikei Univ, Sch Med, Div Gastroenterol & Hepatol, Dept Internal Med, Kashiwa, Chiba 2778567, Japan.
EM ohkusa@juntendo.ac.jp; vyk01273@nifty.com; sekizuka@nih.go.jp;
toshisugi5397@ac.cyberhome.ne.jp; nsato@juntendo.ac.jp;
makokuro@nih.go.jp
CR Amiot A, 2020, ALIMENT PHARM THER, V51, P1039, DOI 10.1111/apt.15717
Anderson KE, 2012, MOL ECOL, V21, P2282, DOI 10.1111/j.1365-294X.2011.05464.x
Breton J, 2019, INFLAMM BOWEL DIS, V25, P1586, DOI 10.1093/ibd/izz006
Eindor-Abarbanel A, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms222212506
Haifer C, 2022, LANCET GASTROENTEROL, V7, P141, DOI 10.1016/S2468-1253(21)00400-3
Huson DH, 2011, GENOME RES, V21, P1552, DOI 10.1101/gr.120618.111
Ishikawa D, 2017, INFLAMM BOWEL DIS, V23, P116, DOI 10.1097/MIB.0000000000000975
Jergens AE, 2021, FRONT MED-LAUSANNE, V8, DOI 10.3389/fmed.2021.669913
Koido S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0086702
Kordy K, 2018, J PEDIATR GASTR NUTR, V67, pE60, DOI 10.1097/MPG.0000000000002034
Kostic AD, 2014, GASTROENTEROLOGY, V146, P1489, DOI 10.1053/j.gastro.2014.02.009
Lepage P, 2011, GASTROENTEROLOGY, V141, P227, DOI 10.1053/j.gastro.2011.04.011
Li H, 2010, BIOINFORMATICS, V26, P589, DOI 10.1093/bioinformatics/btp698
Matson V, 2021, GASTROENTEROLOGY, V160, P600, DOI 10.1053/j.gastro.2020.11.041
Mishra S, 2021, EXPERT REV ANTI-INFE, V19, P949, DOI 10.1080/14787210.2021.1856656
Nishikawa Y, 2021, THER ADV CHRONIC DIS, V12, DOI 10.1177/20406223211028790
Nomura T, 2005, ALIMENT PHARM THER, V21, P1017, DOI 10.1111/j.1365-2036.2005.02428.x
Ohkusa T, 2003, GUT, V52, P79, DOI 10.1136/gut.52.1.79
Ohkusa T, 2002, J GASTROEN HEPATOL, V17, P849, DOI 10.1046/j.1440-1746.2002.02834.x
Ohkusa T, 2010, AM J GASTROENTEROL, V105, P1820, DOI 10.1038/ajg.2010.84
Oka A, 2020, DIGEST DIS SCI, V65, P757, DOI 10.1007/s10620-020-06090-z
Ott SJ, 2004, GUT, V53, P685, DOI 10.1136/gut.2003.025403
Paramsothy S, 2019, GASTROENTEROLOGY, V156, P1440, DOI 10.1053/j.gastro.2018.12.001
Reshef L, 2015, GASTROENTEROLOGY, V149, P718, DOI 10.1053/j.gastro.2015.05.041
Rutgeerts P, 2005, NEW ENGL J MED, V353, P2462, DOI 10.1056/NEJMoa050516
Sarbagili-Shabat C, 2021, NUTRIENTS, V13, DOI 10.3390/nu13113736
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Sugahara H, 2015, SCI REP-UK, V5, DOI 10.1038/srep13548
Tahara T, 2015, DIGEST DIS SCI, V60, P205, DOI 10.1007/s10620-014-3316-y
Turner D, 2020, INFLAMM BOWEL DIS, V26, P1733, DOI 10.1093/ibd/izz298
White R, 2017, GUT MICROBES, V8, P451, DOI 10.1080/19490976.2017.1334754
NR 31
TC 2
Z9 2
PD OCT
PY 2024
VL 16
IS 20
AR 3500
DI 10.3390/nu16203500
UT WOS:001341599200001
DA 2025-07-30
ER
PT J
AU Roda-Garcia, JJ
Haro-Moreno, JM
Rodriguez-Valera, F
Almagro-Moreno, S
López-Pérez, M
AF Roda-Garcia, Juan J.
Haro-Moreno, Jose M.
Rodriguez-Valera, Francisco
Almagro-Moreno, Salvador
Lopez-Perez, Mario
TI Single-amplified genomes reveal most streamlined free-living marine
bacteria
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Evolutionary adaptations of prokaryotes to the environment sometimes result in genome reduction. Our knowledge of this phenomenon among free-living bacteria remains scarce. We address the dynamics and limits of genome reduction by examining one of the most abundant bacteria in the ocean, the SAR86 clade. Despite its abundance, comparative genomics has been limited by the absence of pure cultures and the poor representation in metagenome-assembled genomes. We co-assembled multiple previously available single-amplified genomes to obtain the first complete genomes from members of the four families. All families showed a convergent evolutionary trajectory with characteristic features of streamlined genomes, most pronounced in the TMED112 family. This family has a genome size of ca. 1 Mb and only 1 bp as median intergenic distance, exceeding values found in other abundant microbes such as SAR11, OM43 and Prochlorococcus. This genomic simplification led to a reduction in the biosynthesis of essential molecules, DNA repair-related genes, and the ability to sense and respond to environmental factors, which could suggest an evolutionary dependence on other co-occurring microbes for survival (Black Queen hypothesis). Therefore, these reconstructed genomes within the SAR86 clade provide new insights into the limits of genome reduction in free-living marine bacteria.
C1 [Roda-Garcia, Juan J.; Haro-Moreno, Jose M.; Rodriguez-Valera, Francisco; Lopez-Perez, Mario] Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Alicante, Spain.
[Almagro-Moreno, Salvador] Univ Cent Florida, Burnett Sch Biomed Sci, Orlando, FL USA.
[Almagro-Moreno, Salvador] Univ Cent Florida, Natl Ctr Integrated Coastal Res, Orlando, FL USA.
RP López-Pérez, M (corresponding author), Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Apartado 18, Alicante 03550, Spain.
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Andersson SGE, 1998, TRENDS MICROBIOL, V6, P263, DOI 10.1016/S0966-842X(98)01312-2
Aylward FO, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00415-20
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bolay P, 2018, LIFE-BASEL, V8, DOI 10.3390/life8040052
Bourguignon T, 2020, CURR BIOL, V30, P3848, DOI 10.1016/j.cub.2020.07.034
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Brown CT, 2015, NATURE, V523, P208, DOI 10.1038/nature14486
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cabello-Yeves PJ, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00374-1
Cabello-Yeves PJ, 2020, LIMNOL OCEANOGR, V65, P1471, DOI 10.1002/lno.11401
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Castelle CJ, 2018, NAT REV MICROBIOL, V16, P629, DOI 10.1038/s41579-018-0076-2
Castelle CJ, 2018, CELL, V172, P1181, DOI 10.1016/j.cell.2018.02.016
Chakraborty S, 2011, J BIOL CHEM, V286, P39417, DOI 10.1074/jbc.M111.295188
Chiriac MC, 2022, MICROBIOME, V10, DOI 10.1186/s40168-022-01274-3
Cohen O, 2010, BIOINFORMATICS, V26, P2914, DOI 10.1093/bioinformatics/btq549
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Dubinsky V, 2017, ENVIRON MICROBIOL, V19, P1077, DOI 10.1111/1462-2920.13624
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Fan Y, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10050879
Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
FUCHS RL, 1980, J BACTERIOL, V144, P641, DOI 10.1128/JB.144.2.641-648.1980
Galperin MY, 2021, J BACTERIOL, V203, DOI 10.1128/JB.00058-21
García-Fernández JM, 2004, MICROBIOL MOL BIOL R, V68, P630, DOI 10.1128/MMBR.68.4.630-638.2004
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gómez-Consarnau L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw8855
Goyal A, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007763
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Haro-Moreno JM, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.708782
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
He XS, 2015, P NATL ACAD SCI USA, V112, P244, DOI 10.1073/pnas.1419038112
Held NA, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00317-18
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Hughes GW, 2019, NAT MICROBIOL, V4, P1692, DOI 10.1038/s41564-019-0481-y
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iyer LM, 2008, BIOL DIRECT, V3, DOI 10.1186/1745-6150-3-8
Jimenez-Infante F, 2016, APPL ENVIRON MICROB, V82, P1215, DOI 10.1128/AEM.02852-15
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
Kolmogorov M, 2020, NAT METHODS, V17, P1103, DOI 10.1038/s41592-020-00971-x
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Letunic I, 2011, NUCLEIC ACIDS RES, V39, pW475, DOI [10.1093/nar/gkr201, 10.1093/nar/gkr931]
Liang T, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms22147674
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.01041-20
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Luo HW, 2011, MOL BIOL EVOL, V28, P2751, DOI 10.1093/molbev/msr081
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Manzano-Marín A, 2016, SCI REP-UK, V6, DOI 10.1038/srep32590
Marais Gabriel A B, 2008, Genetica, V134, P205
Martínez-Cano DJ, 2015, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00742
Martinez-Gutierrez CA, 2019, GENOME BIOL EVOL, V11, P2887, DOI 10.1093/gbe/evz201
McCutcheon JP, 2012, NAT REV MICROBIOL, V10, P13, DOI 10.1038/nrmicro2670
Mehrshad M, 2016, APPL ENVIRON MICROB, V82, P1599, DOI 10.1128/AEM.03381-15
MERRICK MJ, 1995, MICROBIOL REV, V59, P604, DOI 10.1128/MMBR.59.4.604-622.1995
Meziti A, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.02593-20
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Monnet V, 2003, CELL MOL LIFE SCI, V60, P2100, DOI 10.1007/s00018-003-3054-3
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moran NA, 2014, ANNU REV MICROBIOL, V68, P195, DOI 10.1146/annurev-micro-091213-112901
Moran NA, 2008, ANNU REV GENET, V42, P165, DOI 10.1146/annurev.genet.41.110306.130119
Moreira D, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22762-4
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Murphy J, 2013, APPL ENVIRON MICROB, V79, P7547, DOI 10.1128/AEM.02229-13
Nawrocki EP, 2009, Structural RNA Homology Search and Alignment using Covariance Models
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Nguyen Lam-Tung, 2015, Mol Biol Evol, V32, P268, DOI 10.1093/molbev/msu300
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Pritchard L, 2016, ANAL METHODS-UK, V8, P12, DOI [10.1039/c5ay02550h, 10.1039/C5AY02550H]
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rahman MM, 2007, MICROBIOL IMMUNOL, V51, P1061, DOI 10.1111/j.1348-0421.2007.tb04001.x
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Ríhová J, 2021, MOL ECOL, V30, P2178, DOI 10.1111/mec.15866
Roda-Garcia JJ, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00944-21
Rodriguez-Valera Francisco, 2009, Nat Rev Microbiol, V7, P828, DOI 10.1038/nrmicro2235
Rodriguez-Valera F, 2016, CURR OPIN MICROBIOL, V31, P154, DOI 10.1016/j.mib.2016.03.014
Royo-Llonch M, 2021, NAT MICROBIOL, V6, P1561, DOI 10.1038/s41564-021-00979-9
Rusch DB, 2013, GENOME ANNOUNCEMENTS, V1, DOI 10.1128/genomeA.00030-12
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schäfer H, 2000, ARCH MICROBIOL, V173, P138, DOI 10.1007/s002039900121
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Sieradzki ET, 2018, PEERJ, V6, DOI 10.7717/peerj.5798
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Taboada B, 2018, BIOINFORMATICS, V34, P4118, DOI 10.1093/bioinformatics/bty496
Tanhua T, 2013, OCEAN SCI, V9, P789, DOI 10.5194/os-9-789-2013
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Wan XS, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03363-0
Wanner B.L., 1996, Escherichia coli and Salmonella: Cell. Mol. Biol., V41, P1357, DOI DOI 10.1007/978-3-642-75969-7_16
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zaragoza-Solas A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00905-19
Zhou ZC, 2020, ISME J, V14, P2060, DOI 10.1038/s41396-020-0669-4
NR 121
TC 9
Z9 9
PD JUN
PY 2023
VL 25
IS 6
BP 1136
EP 1154
DI 10.1111/1462-2920.16348
EA FEB 2023
UT WOS:000933627100001
DA 2025-07-30
ER
PT J
AU Boysen, AK
Durham, BP
Kumler, W
Key, RS
Heal, KR
Carlson, LT
Groussman, RD
Armbrust, EV
Ingalls, AE
AF Boysen, Angela K.
Durham, Bryndan P.
Kumler, William
Key, Rebecca S.
Heal, Katherine R.
Carlson, Laura T.
Groussman, Ryan D.
Armbrust, E. Virginia
Ingalls, Anitra E.
TI Glycine betaine uptake and metabolism in marine microbial communities
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Glycine betaine (GBT) is a compatible solute in high concentrations in marine microorganisms. As a component of labile organic matter, GBT has complex biochemical potential as a substrate for microbial use that is unconstrained in the environment. Here we determine the uptake kinetics and metabolic fate of GBT in two natural microbial communities in the North Pacific characterized by different nitrate concentrations. Dissolved GBT had maximum uptake rates of 0.36 and 0.56 nM h(-1) with half-saturation constants of 79 and 11 nM in the high nitrate and low nitrate stations respectively. During multiday incubations, most GBT taken into cells was retained as a compatible solute. Stable isotopes derived from the added GBT were also observed in other metabolites, including choline, carnitine and sarcosine, suggesting that GBT was used for biosynthesis and for catabolism to pyruvate and ammonium. Where nitrate was scarce, GBT was primarily metabolized via demethylation to glycine. Gene transcript data were consistent with SAR11 using GBT as a source of methyl groups to fuel the methionine cycle. Where nitrate concentrations were higher, more GBT was partitioned for lipid biosynthesis by both bacteria and eukaryotic phytoplankton. Our data highlight unexpected metabolic pathways and potential routes of microbial metabolite exchange.
C1 [Boysen, Angela K.; Kumler, William; Heal, Katherine R.; Carlson, Laura T.; Groussman, Ryan D.; Armbrust, E. Virginia; Ingalls, Anitra E.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
[Durham, Bryndan P.; Key, Rebecca S.] Univ Florida, Genet Inst, Dept Biol, Gainesville, FL 32610 USA.
[Boysen, Angela K.] Univ Chicago, Dept Geophys Sci, Chicago, IL 60637 USA.
[Heal, Katherine R.] Integral Consulting, Seattle, WA 98104 USA.
RP Ingalls, AE (corresponding author), Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
EM aingalls@uw.edu
CR Adams KJ, 2020, J PROTEOME RES, V19, P1447, DOI 10.1021/acs.jproteome.9b00640
Airs RL, 2010, LIMNOL OCEANOGR-METH, V8, P499, DOI 10.4319/lom.2010.8.499
Allen AE, 2006, CURR OPIN PLANT BIOL, V9, P264, DOI 10.1016/j.pbi.2006.03.013
Ashihara H, 2008, NAT PROD COMMUN, V3, P1423
Ayers JM, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005596
Barra L, 2006, J BACTERIOL, V188, P7195, DOI 10.1128/JB.00208-06
Berman T, 2003, AQUAT MICROB ECOL, V31, P279, DOI 10.3354/ame031279
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Boysen AK, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00896-20
Boysen AK, 2018, ANAL CHEM, V90, P1363, DOI 10.1021/acs.analchem.7b04400
BREMER J, 1983, PHYSIOL REV, V63, P1420, DOI 10.1152/physrev.1983.63.4.1420
BRONK DA, 1994, SCIENCE, V265, P1843, DOI 10.1126/science.265.5180.1843
Browning TJ, 2017, NATURE, V551, P242, DOI 10.1038/nature24063
Button DK, 1998, MICROBIOL MOL BIOL R, V62, P636, DOI 10.1128/MMBR.62.3.636-645.1998
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
CHLUMSKY LJ, 1995, J BIOL CHEM, V270, P18252, DOI 10.1074/jbc.270.31.18252
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
Coesel SN, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2011038118
Curson ARJ, 2018, NAT MICROBIOL, V3, P430, DOI 10.1038/s41564-018-0119-5
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Curt MJC, 2015, BIOCHIMIE, V119, P146, DOI 10.1016/j.biochi.2015.10.022
Darriba D, 2011, BIOINFORMATICS, V27, P1164, DOI 10.1093/bioinformatics/btr088
del Valle DA, 2012, AQUAT MICROB ECOL, V66, P47, DOI 10.3354/ame01557
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
FENDRICH C, 1990, ARCH MICROBIOL, V154, P127, DOI 10.1007/BF00423321
Figueroa-Soto CG, 2018, BIOCHIMIE, V147, P89, DOI 10.1016/j.biochi.2018.01.002
Fountoulakis M, 1998, J CHROMATOGR A, V826, P109, DOI 10.1016/S0021-9673(98)00721-3
Galili T, 2018, BIOINFORMATICS, V34, P1600, DOI 10.1093/bioinformatics/btx657
Gaubert J, 2020, ALGAL RES, V46, DOI 10.1016/j.algal.2019.101783
Gebser B, 2020, MICROBIOLOGYOPEN, V9, DOI 10.1002/mbo3.1014
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Gradoville MR, 2020, LIMNOL OCEANOGR, V65, P1858, DOI 10.1002/lno.11423
Gray N, 2017, ANAL CHEM, V89, P2478, DOI 10.1021/acs.analchem.6b04623
Hai Y, 2019, P NATL ACAD SCI USA, V116, P10348, DOI 10.1073/pnas.1903282116
HALL ER, 1975, J BIOL CHEM, V250, P6943
Heal KR, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.01334-20
Jameson E, 2016, MICROB GENOMICS, V2, DOI 10.1099/mgen.0.000080
Johnson WM, 2020, LIMNOL OCEANOGR, V65, P111, DOI 10.1002/lno.11255
Jones HJ, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0732-4
Kageyama H, 2018, PLANT PHYSIOL BIOCH, V127, P248, DOI 10.1016/j.plaphy.2018.03.032
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
Keller MD, 1999, MAR BIOL, V135, P237, DOI 10.1007/s002270050621
Keller MD, 1999, MAR BIOL, V135, P249, DOI 10.1007/s002270050622
Kiene RP, 1998, LIMNOL OCEANOGR, V43, P1592, DOI 10.4319/lo.1998.43.7.1592
Kiene RP, 1998, APPL ENVIRON MICROB, V64, P1045
Kiene RP, 1998, AQUAT MICROB ECOL, V15, P39, DOI 10.3354/ame015039
Klähn S, 2011, ENVIRON MICROBIOL, V13, P551, DOI 10.1111/j.1462-2920.2010.02366.x
Lahham M, 2021, ARCH BIOCHEM BIOPHYS, V704, DOI 10.1016/j.abb.2021.108868
Lidbury I, 2015, ENVIRON MICROBIOL, V17, P5048, DOI 10.1111/1462-2920.12943
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Lidbury IDEA, 2015, ISME J, V9, P760, DOI 10.1038/ismej.2014.149
Llewellyn CA, 2010, MAR DRUGS, V8, P1273, DOI 10.3390/md8041273
Lu WD, 2006, ARCH MICROBIOL, V186, P495, DOI 10.1007/s00203-006-0167-8
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Mausz M.A., 2022, LIMNOL OCEANOGR, V9999, P1
McParland EL, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.689306
Meadows JA, 2015, MICROBIOL-SGM, V161, P1161, DOI 10.1099/mic.0.000080
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Myers OD, 2017, ANAL CHEM, V89, P8689, DOI 10.1021/acs.analchem.7b01069
NAKAMURA H, 1993, TETRAHEDRON LETT, V34, P8481, DOI 10.1016/S0040-4039(00)61364-3
Ngugi DK, 2020, ISCIENCE, V23, DOI 10.1016/j.isci.2020.101120
Noell SE, 2021, MBIO, V12, DOI 10.1128/mBio.01091-21
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Nyyssölä A, 2000, J BIOL CHEM, V275, P22196, DOI 10.1074/jbc.M910111199
Parailloux M., 2020, ANTIOXIDANTS-BASEL, V9, P1
Parthasarathy A, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00921
Pino LK, 2020, MASS SPECTROM REV, V39, P229, DOI 10.1002/mas.21540
Polovina JJ, 2017, PROG OCEANOGR, V150, P79, DOI 10.1016/j.pocean.2015.01.006
Popendorf KJ, 2011, ORG GEOCHEM, V42, P803, DOI 10.1016/j.orggeochem.2011.05.003
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Shao YH, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.00377-18
Shick JM, 2002, ANNU REV PHYSIOL, V64, P223, DOI 10.1146/annurev.physiol.64.081501.155802
Singh G, 2021, J APPL MICROBIOL, V131, P756, DOI 10.1111/jam.14995
Sipler RE, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P127, DOI 10.1016/B978-0-12-405940-5.00004-2
Smith CA, 2006, ANAL CHEM, V78, P779, DOI 10.1021/ac051437y
Smith CA, 2005, THER DRUG MONIT, V27, P747, DOI 10.1097/01.ftd.0000179845.53213.39
Stamatakis A, 2008, SYST BIOL, V57, P758, DOI 10.1080/10635150802429642
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Sun J, 2019, ENVIRON MICROBIOL, V21, P513, DOI 10.1111/1462-2920.14461
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Torstensson A, 2019, J PHYCOL, V55, P663, DOI 10.1111/jpy.12839
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Trottmann F, 2020, ANGEW CHEM INT EDIT, V59, P13511, DOI 10.1002/anie.202003958
Van Mooy BAS, 2010, GEOCHIM COSMOCHIM AC, V74, P6499, DOI 10.1016/j.gca.2010.08.026
Vidal LS, 2018, BBA-PROTEINS PROTEOM, V1866, P327, DOI 10.1016/j.bbapap.2017.11.005
Vorobev A, 2018, ENVIRON MICROBIOL, V20, P3012, DOI 10.1111/1462-2920.14344
Wagner MA, 2000, BIOCHEMISTRY-US, V39, P8813, DOI 10.1021/bi000349z
Wagner MA, 2000, BIOCHEMISTRY-US, V39, P8825, DOI 10.1021/bi000350y
Wargo MJ, 2008, J BACTERIOL, V190, P2690, DOI 10.1128/JB.01393-07
Wargo MJ, 2013, APPL ENVIRON MICROB, V79, P2112, DOI 10.1128/AEM.03565-12
Welsh DT, 2000, FEMS MICROBIOL REV, V24, P263, DOI 10.1111/j.1574-6976.2000.tb00542.x
Wyss M, 2000, PHYSIOL REV, V80, P1107, DOI 10.1152/physrev.2000.80.3.1107
Yancey PH, 2005, J EXP BIOL, V208, P2819, DOI 10.1242/jeb.01730
Yancey PH, 1999, J EXP BIOL, V202, P3597
Zecher K, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.533894
Zhu YJ, 2014, P NATL ACAD SCI USA, V111, P4268, DOI 10.1073/pnas.1316569111
NR 108
TC 29
Z9 32
PD MAY
PY 2022
VL 24
IS 5
SI SI
BP 2380
EP 2403
DI 10.1111/1462-2920.16020
EA MAY 2022
UT WOS:000791546400001
DA 2025-07-30
ER
PT J
AU Zeng, YX
Yu, Y
Li, HR
He, JF
Lee, SH
Sun, K
AF Zeng Yinxin
Yu Yong
Li Huirong
He Jianfeng
Lee, Sang H.
Sun Kun
TI Phylogenetic diversity of planktonic bacteria in the Chukchi Borderland
region in summer
SO ACTA OCEANOLOGICA SINICA
DT Article
AB Planktonic bacteria are abundant in the Chukchi Borderland region. However, little is known about their diversity and the roles of various bacteria in the ocean. Seawater samples were collected from two stations K2S and K4S where sea ice was melting obviously. The analysis of water samples with fluorescence in situ hybridization (FISH) showed that DMSP-degrading bacteria accounted for 13% of the total bacteria at the station K2S. No aerobic anoxygenic phototrophic (AAP) bacteria were detected in both samples. The bacterial communities were characterized by two 16S rRNA gene clone libraries. Sequences fell into four major lineages of the domain Bacteria, including Proteobacteria (Alpha, Beta and Gamma subclasses), Bacteroidetes, Actinobacteria and Firmicutes. No significant difference was found between the two clone libraries. SAR11 and Rhodobacteraceae clades of Alphaproteobacteria and Pseudoalteromonas of Gammaproteobacteria constituted three dominant fractions in the clone libraries. A total of 191 heterotrophic bacterial strains were isolated and 76% showed extracellular proteolytic activity. Phylogenetic analysis reveals that the isolates fell into Gammaproteobacteria, Bacteroidetes, Actinobacteria and Firmicutes. The most common genus in both the bacterial isolates and protease-producing bacteria was Pseudoalteromonas. UniFrac data showed suggestive differences in bacterial communities between the Chukchi Borderland and the northern Bering Sea.
C1 [Zeng Yinxin; Yu Yong; Li Huirong; He Jianfeng; Sun Kun] Polar Res Inst China, State Ocean Adm, Key Lab Polar Sci, Shanghai 200136, Peoples R China.
[Zeng Yinxin] Jimei Univ, Coll Biol Engn, Xiamen 361021, Peoples R China.
[Lee, Sang H.] Pusan Natl Univ, Dept Oceanog, Pusan 609735, South Korea.
RP Zeng, YX (corresponding author), Polar Res Inst China, State Ocean Adm, Key Lab Polar Sci, Shanghai 200136, Peoples R China.
EM yxzeng@yahoo.com
CR Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
AZAM F, 1977, LIMNOL OCEANOGR, V22, P492, DOI 10.4319/lo.1977.22.3.0492
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Bano N, 2000, APPL ENVIRON MICROB, V66, P1960, DOI 10.1128/AEM.66.5.1960-1969.2000
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Bosshard PP, 2000, FEMS MICROBIOL ECOL, V31, P173, DOI 10.1016/S0168-6496(99)00098-7
Bowman JS, 2012, ISME J, V6, P11, DOI 10.1038/ismej.2011.76
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Chun J, 2007, INT J SYST EVOL MICR, V57, P2259, DOI 10.1099/ijs.0.64915-0
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Cooper LW, 1997, J GEOPHYS RES-OCEANS, V102, P12563, DOI 10.1029/97JC00015
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Dethlefsen L, 2008, PLOS BIOL, V6, P2383, DOI 10.1371/journal.pbio.0060280
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Garneau ME, 2006, AQUAT MICROB ECOL, V42, P27, DOI 10.3354/ame042027
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
GOODFELLOW M, 1983, ANNU REV MICROBIOL, V37, P189, DOI 10.1146/annurev.mi.37.100183.001201
Groudieva T, 2004, EXTREMOPHILES, V8, P475, DOI 10.1007/s00792-004-0409-0
Hahnke S, 2012, INT J SYST EVOL MICR, V62, P1619, DOI 10.1099/ijs.0.033563-0
Hall J.K., 1990, The arctic ocean region, V50, P337, DOI [10.1130/dnag-gna-l.337, DOI 10.1130/DNAG-GNA-L.337]
Holmström C, 1999, FEMS MICROBIOL ECOL, V30, P285, DOI 10.1111/j.1574-6941.1999.tb00656.x
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Huston AL, 2002, DEEP-SEA RES PT II, V49, P5211, DOI 10.1016/S0967-0645(02)00186-8
Kato J, 1999, 99 GEN M AM SOC MICR
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Lee Yoo Kyung, 2005, Ocean and Polar Research, V27, P215
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Matsumoto A, 2009, J GEN APPL MICROBIOL, V55, P201, DOI 10.2323/jgam.55.201
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Nam YD, 2007, INT J SYST EVOL MICR, V57, P12, DOI 10.1099/ijs.0.64523-0
Nikrad MP, 2012, APPL ENVIRON MICROB, V78, P2402, DOI 10.1128/AEM.07130-11
Nilsson RH, 2009, FEMS MICROBIOL LETT, V296, P97, DOI 10.1111/j.1574-6968.2009.01618.x
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Rella SF, 2011, BIOGEOSCIENCES, V8, P3545, DOI 10.5194/bg-8-3545-2011
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rösel S, 2012, AQUAT MICROB ECOL, V66, P169, DOI 10.3354/ame01568
Sala MM, 2010, POLAR BIOL, V33, P1683, DOI 10.1007/s00300-010-0808-x
Schwalbach MS, 2005, LIMNOL OCEANOGR, V50, P620, DOI 10.4319/lo.2005.50.2.0620
Slightom RN, 2009, APPL ENVIRON MICROB, V75, P6027, DOI 10.1128/AEM.01508-09
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Steward GF, 1996, MAR ECOL PROG SER, V131, P287, DOI 10.3354/meps131287
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Tedersoo L, 2010, NEW PHYTOL, V188, P291, DOI 10.1111/j.1469-8137.2010.03373.x
Teske A, 2011, APPL ENVIRON MICROB, V77, P2008, DOI 10.1128/AEM.01507-10
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Ventura M, 2007, MICROBIOL MOL BIOL R, V71, P495, DOI 10.1128/MMBR.00005-07
Webster NS, 2001, APPL ENVIRON MICROB, V67, P434, DOI 10.1128/AEM.67.1.434-444.2001
Yoon JH, 2007, INT J SYST EVOL MICR, V57, P1799, DOI 10.1099/ijs.0.65050-0
Zeng YX, 2007, EXTREMOPHILES, V11, P685, DOI 10.1007/s00792-007-0086-x
Zeng YX, 2012, POLAR BIOL, V35, P117, DOI 10.1007/s00300-011-1044-8
Zeng YX, 2009, POLAR BIOL, V32, P1447, DOI 10.1007/s00300-009-0641-2
NR 61
TC 12
Z9 12
PD JUN
PY 2013
VL 32
IS 6
BP 66
EP 74
DI 10.1007/s13131-013-0271-y
UT WOS:000320094400009
DA 2025-07-30
ER
PT J
AU Simu, K
Hagström, Å
AF Simu, K
Hagström, Å
TI Oligotrophic bacterioplankton with a novel single-cell life strategy
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB A large fraction of the marine bacterioplankton community is unable to form colonies on agar surfaces, which so far no experimental evidence can explain. Here we describe a previously undescribed growth behavior of three non-colony-forming oligotrophic bacterioplankton, including a SAR11 cluster representative, the world's most abundant organism. We found that these bacteria exhibit a behavior that promotes growth and dispersal instead of colony formation. Although these bacteria do not form colonies on agar, it was possible to monitor growth on the surface of seawater agar slides containing a fluorescent stain, 4',6'-diamidino-2-phenylindole (DAPI). Agar slides were prepared by pouring a solution containing 0.7% agar and 0.5 mug of DAPI per ml in seawater onto glass slides. Prompt dispersal of newly divided cells explained the inability to form colonies since immobilized cells (cells immersed in agar) formed microcolonies. The behavior observed suggests a life strategy intended to optimize access of individual cells to substrates. Thus, the inability to form colonies or biofilms appears to be part of a K-selected population strategy in which oligotrophic bacteria explore dissolved organic matter in seawater as single cells.
C1 Univ Kalmar, SE-39182 Kalmar, Sweden.
RP Univ Kalmar, SE-39182 Kalmar, Sweden.
EM ake.hagstrom@hik.se
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
AMMERMAN JW, 1984, MAR ECOL PROG SER, V18, P31, DOI 10.3354/meps018031
ANDERSSON A, 1986, MAR ECOL PROG SER, V33, P51, DOI 10.3354/meps033051
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Eberl L, 1999, J BACTERIOL, V181, P1703, DOI 10.1128/JB.181.6.1703-1712.1999
GIOVANNONI SJ, 1991, SEQUENCING HYBRIDIZA, P177
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
HAGSTROM A, 1984, MAR ECOL PROG SER, V18, P41, DOI 10.3354/meps018041
JANNASCH HW, 1959, LIMNOL OCEANOGR, V4, P128, DOI 10.4319/lo.1959.4.2.0128
Koch AL, 1997, MICROBIOL MOL BIOL R, V61, P305, DOI 10.1128/.61.3.305-318.1997
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
MITCHELL JG, 1995, APPL ENVIRON MICROB, V61, P4436, DOI 10.1128/AEM.61.12.4436-4440.1995
MITCHELL JG, 1991, MICROBIAL ECOL, V22, P227, DOI 10.1007/BF02540225
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nyström T, 1998, FEMS MICROBIOL REV, V21, P283, DOI 10.1111/j.1574-6976.1998.tb00354.x
O'Toole GA, 1998, MOL MICROBIOL, V30, P295, DOI 10.1046/j.1365-2958.1998.01062.x
Oliver J.D., 1993, STARVATION BACTERIA, P239, DOI [10.1007/978-1-4899-2439-1_11, DOI 10.1007/978-1-4899-2439-1_11]
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
Shapiro JA, 1998, ANNU REV MICROBIOL, V52, P81, DOI 10.1146/annurev.micro.52.1.81
STEVENSON LH, 1978, MICROB ECOL, V4, P127, DOI 10.1007/BF02014283
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Winans SC, 2002, J BACTERIOL, V184, P873, DOI 10.1128/jb.184.4.873-883.2002
Zobell C.E., 1946, MARINE MICROBIOLOGY
NR 29
TC 66
Z9 94
PD APR
PY 2004
VL 70
IS 4
BP 2445
EP 2451
DI 10.1128/AEM.70.4.2445-2451.2004
UT WOS:000220792200067
DA 2025-07-30
ER
PT J
AU Acker, M
Hogle, SL
Berube, PM
Hackl, T
Coe, A
Stepanauskas, R
Chisholm, SW
Repeta, DJ
AF Acker, Marianne
Hogle, Shane L.
Berube, Paul M.
Hackl, Thomas
Coe, Allison
Stepanauskas, Ramunas
Chisholm, Sallie W.
Repeta, Daniel J.
TI Phosphonate production by marine microbes: Exploring new sources and
potential function
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Phosphonates are organophosphorus metabolites with a characteristic C-P bond. They are ubiquitous in the marine environment, their degradation broadly supports ecosystem productivity, and they are key components of the marine phosphorus (P) cycle. However, the microbial producers that sustain the large oceanic inventory of phosphonates as well as the physiological and ecological roles of phosphonates are enigmatic. Here, we show that phosphonate synthesis genes are rare but widely distributed among diverse bacteria and archaea, including Prochlorococcus and SAR11, the two major groups of bacteria in the ocean. In addition, we show that Prochlorococcus can allocate over 40% of its total cellular P-quota toward phosphonate production. However, we find no evidence that Prochlorococcus uses phosphonates for surplus P storage, and nearly all producer genomes lack the genes necessary to degrade and assimilate phosphonates. Instead, we postulate that phosphonates are associated with cell-surface glycoproteins, suggesting that phosphonates mediate ecological interactions between the cell and its surrounding environment. Our findings indicate that the oligotrophic surface ocean phosphonate pool is sustained by a relatively small fraction of the bacterioplankton cells allocating a significant portion of their P quotas toward secondary metabolism and away from growth and reproduction.
C1 [Acker, Marianne] Woods Hole Oceanog Inst, MIT Woods Hole Oceanog Inst Joint Program Oceanog, Woods Hole, MA 02543 USA.
[Acker, Marianne; Repeta, Daniel J.] Woods Hole Oceanog Inst, Dept Chem & Geochem, Woods Hole, MA 02543 USA.
[Hogle, Shane L.; Berube, Paul M.; Hackl, Thomas; Coe, Allison; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Hogle, Shane L.] Univ Turku, Dept Biol, SF-20500 Turku, Finland.
[Stepanauskas, Ramunas] Single Cell Genom Ctr, Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA 02139 USA.
RP Repeta, DJ (corresponding author), Woods Hole Oceanog Inst, Dept Chem & Geochem, Woods Hole, MA 02543 USA.
EM drepeta@whoi.edu
CR Ashkezari MD, 2021, LIMNOL OCEANOGR-METH, V19, P488, DOI 10.1002/lom3.10439
BAUMANN H, 1992, BIOCHEMISTRY-US, V31, P4081, DOI 10.1021/bi00131a026
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Casciotti K. L., 1912, WATER COLUMN AMOA NI, P1
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Christaki U, 1999, MAR ECOL PROG SER, V181, P297, DOI 10.3354/meps181297
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Cordero OX, 2014, NAT REV MICROBIOL, V12, P263, DOI 10.1038/nrmicro3218
Coyne MJ, 2000, INFECT IMMUN, V68, P6176, DOI 10.1128/IAI.68.11.6176-6181.2000
Davis CS, 2006, SCIENCE, V312, P1517, DOI 10.1126/science.1123570
Decho AW, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00922
Dyhrman ST, 2016, DEVEL APPL PHYCOL, V6, P155, DOI 10.1007/978-3-319-24945-2_8
Dyhrman ST, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033768
Dyhrman ST, 2009, NAT GEOSCI, V2, P696, DOI 10.1038/NGEO639
Dyhrman ST, 2006, NATURE, V439, P68, DOI 10.1038/nature04203
Eckmair B, 2016, MOL CELL PROTEOMICS, V15, P573, DOI 10.1074/mcp.M115.051573
Faridmoayer A, 2007, J BACTERIOL, V189, P8088, DOI 10.1128/JB.01318-07
Feingersch R, 2012, ISME J, V6, P827, DOI 10.1038/ismej.2011.149
FENCHEL T, 1982, MAR ECOL PROG SER, V9, P35, DOI 10.3354/meps009035
Fletcher CM, 2009, CELL, V137, P321, DOI 10.1016/j.cell.2009.02.041
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Frost LS, 2005, NAT REV MICROBIOL, V3, P722, DOI 10.1038/nrmicro1235
Galbraith ED, 2015, P NATL ACAD SCI USA, V112, P8199, DOI 10.1073/pnas.1423917112
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gonzalez JM, 1996, MAR BIOL, V126, P785, DOI 10.1007/BF00351345
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Granzow BN, 2021, LIMNOL OCEANOGR-METH, V19, P235, DOI 10.1002/lom3.10418
Grob C, 2013, ENVIRON MICROBIOL, V15, P3054, DOI 10.1111/1462-2920.12145
Guillou L, 2001, AQUAT MICROB ECOL, V26, P201, DOI 10.3354/ame026201
Hackl T, 2020, NOVEL INTEGRATIVE EL
Hansell DA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P1
Horsman GP, 2017, CHEM REV, V117, P5704, DOI 10.1021/acs.chemrev.6b00536
Huerta-Cepas J, 2017, MOL BIOL EVOL, V34, P2115, DOI 10.1093/molbev/msx148
Huerta-Cepas J, 2016, NUCLEIC ACIDS RES, V44, pD286, DOI 10.1093/nar/gkv1248
Hutchins DA, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9155
Iwashkiw JA, 2013, MOL MICROBIOL, V89, P14, DOI 10.1111/mmi.12265
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Kafarski P., 2019, Contemporary Topics about Phosphorus in Biology and Materials, P1
Karl DM, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P233, DOI 10.1016/B978-0-12-405940-5.00005-4
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Karsenti E, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001177
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kiene R.P., 1991, MICROBIAL PRODUCTION, P111, DOI DOI 10.1016/0169-5347(93)90172-L
Kolowith LC, 2001, LIMNOL OCEANOGR, V46, P309, DOI 10.4319/lo.2001.46.2.0309
Ku SC, 2009, BIOCHEM BIOPH RES CO, V378, P84, DOI 10.1016/j.bbrc.2008.11.025
Kursa MB, 2010, J STAT SOFTW, V36, P1, DOI 10.18637/jss.v036.i11
Lees-Miller RG, 2013, MOL MICROBIOL, V89, P816, DOI 10.1111/mmi.12300
Livanou E, 2019, DEEP-SEA RES PT II, V164, P100, DOI 10.1016/j.dsr2.2019.04.007
Luo EL, 2020, ISME J, V14, P1304, DOI 10.1038/s41396-020-0604-8
Luo E, 2017, MBIO, V8, DOI 10.1128/mBio.01903-17
Martin BD, 2020, ANN APPL STAT, V14, P94, DOI [10.1214/19-aoas1283, 10.1214/19-AOAS1283]
Martin P, 2014, P NATL ACAD SCI USA, V111, P8089, DOI 10.1073/pnas.1321719111
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Matz C, 2005, TRENDS MICROBIOL, V13, P302, DOI 10.1016/j.tim.2005.05.009
McGrath JW, 2013, NAT REV MICROBIOL, V11, P412, DOI 10.1038/nrmicro3011
Meador TB, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aba1799
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Metcalf WW, 2012, SCIENCE, V337, P1104, DOI 10.1126/science.1219875
Metcalf WW, 2009, ANNU REV BIOCHEM, V78, P65, DOI 10.1146/annurev.biochem.78.091707.100215
MICHAELS AF, 1994, DEEP-SEA RES PT I, V41, P1013, DOI 10.1016/0967-0637(94)90016-7
Monger BC, 1999, LIMNOL OCEANOGR, V44, P1917, DOI 10.4319/lo.1999.44.8.1917
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
Needham BD, 2013, NAT REV MICROBIOL, V11, P467, DOI 10.1038/nrmicro3047
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Pack MA, 2015, J GEOPHYS RES-BIOGEO, V120, P1078, DOI 10.1002/2014JG002900
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Paytan A, 2003, MAR CHEM, V82, P55, DOI 10.1016/S0304-4203(03)00052-5
Power PM, 2006, BIOCHEM BIOPH RES CO, V347, P904, DOI 10.1016/j.bbrc.2006.06.182
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quin L.D., 2004, Practical Interpretation of P-31 NMR Spectra and Computer Assisted Structure Verification
Ravenhall M, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004095
Repeta DJ, 2016, NAT GEOSCI, V9, P884, DOI [10.1038/NGEO2837, 10.1038/ngeo2837]
Rijkenberg MJA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101323
Rivals I, 2007, BIOINFORMATICS, V23, P401, DOI 10.1093/bioinformatics/btl633
Saito MA, 2002, LIMNOL OCEANOGR, V47, P1629, DOI 10.4319/lo.2002.47.6.1629
Salt LA, 2015, BIOGEOSCIENCES, V12, P1387, DOI 10.5194/bg-12-1387-2015
Sannigrahi P, 2006, GEOCHIM COSMOCHIM AC, V70, P5868, DOI 10.1016/j.gca.2006.08.037
Santoro AE, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2020GB006716
Santoro AE, 2019, ANNU REV MAR SCI, V11, P131, DOI [10.1146/annurev-marine-121916063141, 10.1146/annurev-marine-121916-063141]
Santoro AE, 2017, LIMNOL OCEANOGR, V62, P1984, DOI 10.1002/lno.10547
Sañudo-Wilhelmy SA, 2001, NATURE, V411, P66, DOI 10.1038/35075041
Schlitzer R, 2018, CHEM GEOL, V493, P210, DOI 10.1016/j.chemgeo.2018.05.040
Scholl D, 2005, APPL ENVIRON MICROB, V71, P4872, DOI 10.1128/AEM.71.8.4872-4874.2005
Seed KD, 2015, PLOS PATHOG, V11, DOI 10.1371/journal.ppat.1004847
Siegmund L, 2018, J EUKARYOT MICROBIOL, V65, P600, DOI 10.1111/jeu.12504
Smith MR, 2020, BIOINFORMATICS, V36, P5007, DOI 10.1093/bioinformatics/btaa614
Sosa OA, 2020, LIMNOL OCEANOGR, V65, P2443, DOI 10.1002/lno.11463
Sosa OA, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00289-19
Sosa OA, 2019, ENVIRON MICROBIOL, V21, P2402, DOI 10.1111/1462-2920.14628
Sosa OA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01786
Speich S, 2017, ENV CONTEXT ALL SAMP
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Strickland J.D.H., 1968, B FISH RES BOARD CAN, V167, P310, DOI [10.1002/iroh.19700550118, DOI 10.1002/IROH.19700550118]
Tarao M, 2009, APPL ENVIRON MICROB, V75, P4720, DOI 10.1128/AEM.00251-09
Temperton B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016499
TZIANABOS AO, 1992, J BIOL CHEM, V267, P18230
Urai M, 2009, CARBOHYD RES, V344, P2182, DOI 10.1016/j.carres.2009.08.001
Van Mooy BAS, 2015, SCIENCE, V348, P783, DOI 10.1126/science.aaa8181
Van Mooy BAS, 2008, LIMNOL OCEANOGR, V53, P78, DOI 10.4319/lo.2008.53.1.0078
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
VANDERLEY P, 1986, J BACTERIOL, V168, P449, DOI 10.1128/jb.168.1.449-451.1986
Vázquez-Domínguez E, 2008, PROG OCEANOGR, V79, P83, DOI 10.1016/j.pocean.2008.08.002
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vik A, 2009, P NATL ACAD SCI USA, V106, P4447, DOI 10.1073/pnas.0809504106
Villarreal-Chiu JF, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00019
WATERBURY JB, 1988, METHOD ENZYMOL, V167, P100
White AK, 2007, ANNU REV MICROBIOL, V61, P379, DOI 10.1146/annurev.micro.61.080706.093357
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Wildschutte H, 2004, P NATL ACAD SCI USA, V101, P10644, DOI 10.1073/pnas.0404028101
Wildschutte H, 2010, ENVIRON MICROBIOL, V12, P2977, DOI 10.1111/j.1462-2920.2010.02274.x
WILKINSON BJ, 1979, INFECT IMMUN, V23, P549, DOI 10.1128/IAI.23.2.549-552.1979
Wilson ST, 2017, GEOPHYS RES LETT, V44, P9885, DOI 10.1002/2017GL074458
Wootton EC, 2007, ENVIRON MICROBIOL, V9, P216, DOI 10.1111/j.1462-2920.2006.01130.x
Wright MN, 2017, J STAT SOFTW, V77, P1, DOI 10.18637/jss.v077.i01
Wyatt NJ, 2014, GLOBAL BIOGEOCHEM CY, V28, P44, DOI 10.1002/2013GB004637
Yu GC, 2012, OMICS, V16, P284, DOI 10.1089/omi.2011.0118
Yu XM, 2014, J BACTERIOL, V196, P1768, DOI 10.1128/JB.00036-14
Yu XM, 2013, P NATL ACAD SCI USA, V110, P20759, DOI 10.1073/pnas.1315107110
NR 129
TC 41
Z9 45
PD MAR 15
PY 2022
VL 119
IS 11
AR e2113386119
DI 10.1073/pnas.2113386119
UT WOS:000772224400011
DA 2025-07-30
ER
PT J
AU Camarena-Gómez, MT
Ruiz-González, C
Piiparinen, J
Lipsewers, T
Sobrino, C
Logares, R
Spilling, K
AF Camarena-Gomez, Maria Teresa
Ruiz-Gonzalez, Clara
Piiparinen, Jonna
Lipsewers, Tobias
Sobrino, Cristina
Logares, Ramiro
Spilling, Kristian
TI Bacterioplankton dynamics driven by interannual and spatial variation in
diatom and dinoflagellate spring bloom communities in the Baltic Sea
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB In parts of the Baltic Sea, the phytoplankton spring bloom communities, commonly dominated by diatoms, are shifting toward the co-occurrence of diatoms and dinoflagellates. Although phytoplankton are known to shape the composition and function of associated bacterioplankton communities, the potential bacterial responses to such a decrease of diatoms are unknown. Here we explored the changes in bacterial communities and heterotrophic production during the spring bloom in four consecutive spring blooms across several sub-basins of the Baltic Sea and related them to changes in environmental variables and in phytoplankton community structure. The taxonomic structure of bacterioplankton assemblages was partially explained by salinity and temperature but also linked to the phytoplankton community. Higher carbon biomass of the diatomsAchnanthes taeniata,Skeletonema marinoi,Thalassiosira levanderi, andChaetocerosspp. was associated with more diverse bacterial communities dominated by copiotrophic bacteria (Flavobacteriia, Gammaproteobacteria, and Betaproteobacteria) and higher bacterial production. During dinoflagellate dominance, bacterial production was low and bacterial communities were dominated by Alphaproteobacteria, mainly SAR11. Our results suggest that increases in dinoflagellate abundance during the spring bloom will largely affect the structuring and functioning of the associated bacterial communities. This could decrease pelagic remineralization of organic matter and possibly affect the bacterial grazers communities.
C1 [Camarena-Gomez, Maria Teresa; Piiparinen, Jonna; Lipsewers, Tobias; Spilling, Kristian] Finnish Environm Inst, Marine Res Ctr, Helsinki, Finland.
[Camarena-Gomez, Maria Teresa] Univ Helsinki, Tvarminne Zool Stn, Hango, Finland.
[Ruiz-Gonzalez, Clara; Logares, Ramiro] Inst Ciencies Mar ICM CSIC, Barcelona, Spain.
[Sobrino, Cristina] Univ Vigo, Fac Sci, Vigo, Spain.
[Spilling, Kristian] Univ Agder, Dept Nat Sci, Kristiansand, Norway.
RP Camarena-Gómez, MT (corresponding author), Finnish Environm Inst, Marine Res Ctr, Helsinki, Finland.; Camarena-Gómez, MT (corresponding author), Univ Helsinki, Tvarminne Zool Stn, Hango, Finland.
EM m.t.camarena@gmail.com
CR Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Andersson A, 1996, MAR BIOL, V126, P791, DOI 10.1007/BF00351346
Andersson A, 2015, AMBIO, V44, pS345, DOI 10.1007/s13280-015-0654-8
[Anonymous], 2015, Regional Climate Studies, DOI DOI 10.1007/978-3-319-16006-1
Balestra C, 2011, AQUAT MICROB ECOL, V63, P123, DOI 10.3354/ame01486
BENNER R, 1993, MAR CHEM, V41, P5, DOI 10.1016/0304-4203(93)90101-S
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03296
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
Camarena-Gómez MT, 2018, AQUAT MICROB ECOL, V81, P149, DOI 10.3354/ame01868
Caspers H., 1983, METHODS SEAWATER ANA, P302, DOI [10.1002/iroh.19850700232, DOI 10.1002/IROH.19850700232]
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
Gargas E., 1975, BALTIC MARINE BIOL P, V2
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Hagström &, 2001, ECOL STU AN, V148, P177
Hargraves Paul E., 2002, Plankton Biology and Ecology, V49, P9
Heiskanen A, 1998, MONOGR BOREAL ENV RE, V8
HELCOM, 2008, MAN MAR MON COMBINE
Herlemann DPR, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01883
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
JESPERSEN AM, 1987, ARCH HYDROBIOL, V109, P445
KAHRU M, 1990, CONT SHELF RES, V10, P329, DOI 10.1016/0278-4343(90)90055-Q
Klais R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021567
Koskinen K, 2011, FEMS MICROBIOL ECOL, V75, P99, DOI 10.1111/j.1574-6941.2010.00987.x
KUPARINEN J, 1993, ADV MAR BIOL, V29, P73, DOI 10.1016/S0065-2881(08)60130-3
Lane D. J., 1991, NUCL ACID TECHNIQUES, P171
Legrand C, 2015, AMBIO, V44, pS427, DOI 10.1007/s13280-015-0662-8
LIGNELL R, 1990, MAR ECOL PROG SER, V68, P85, DOI 10.3354/meps068085
Lindh MV, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00361
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Lipsewers T, 2018, BOREAL ENVIRON RES, V23, P127
Liu Y, 2019, ENVIRON MICROBIOL, V21, P1452, DOI 10.1111/1462-2920.14579
Martin M., 2011, EMBnet J, V17, P10
Morán XAG, 2002, DEEP-SEA RES PT II, V49, P769, DOI 10.1016/S0967-0645(01)00123-0
MYKLESTAD SM, 1995, SCI TOTAL ENVIRON, V165, P155, DOI 10.1016/0048-9697(95)04549-G
Norland S, 1993, HDB METHODS AQUATIC, P303, DOI DOI 10.1201/9780203752746-36
Olli K, 2010, DEEP-SEA RES PT II, V57, P235, DOI 10.1016/j.dsr2.2009.09.009
Oswald K, 2017, ISME J, V11, P2124, DOI 10.1038/ismej.2017.77
Pérez MT, 2010, ENVIRON MICROBIOL, V12, P74, DOI 10.1111/j.1462-2920.2009.02043.x
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
R Core Team, 2022, R LANG ENV STAT COMP
Raes J, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.6
Richert I, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2641
Sarmento H, 2013, LIMNOL OCEANOGR, V58, P1123, DOI 10.4319/lo.2013.58.3.1123
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Spilling K, 2007, THESIS
Spilling K, 2008, J MARINE SYST, V73, P323, DOI 10.1016/j.jmarsys.2006.10.012
Spilling K, 2019, LIMNOL OCEANOGR, V64, P1779, DOI 10.1002/lno.11150
Spilling K, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00327
Steeman-Nielsen E., 1952, J CONS CONS PERM INT, V8, P117, DOI DOI 10.1093/ICESJMS/18.2.117
Stoecker K, 2006, P NATL ACAD SCI USA, V103, P2363, DOI 10.1073/pnas.0506361103
Sundström AM, 2009, J PHYCOL, V45, P938, DOI 10.1111/j.1529-8817.2009.00712.x
Tamminen T, 2007, MAR ECOL PROG SER, V340, P121, DOI 10.3354/meps340121
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Wichard T, 2005, J CHROMATOGR B, V814, P155, DOI 10.1016/j.jchromb.2004.10.021
WOLTER K, 1982, MAR ECOL PROG SER, V7, P287, DOI 10.3354/meps007287
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 62
TC 18
Z9 20
PD JAN
PY 2021
VL 66
IS 1
BP 255
EP 271
DI 10.1002/lno.11601
EA OCT 2020
UT WOS:000574018300001
DA 2025-07-30
ER
PT J
AU Morris, RM
Longnecker, K
Giovannoni, SJ
AF Morris, R. M.
Longnecker, K.
Giovannoni, S. J.
TI Pirellula and OM43 are among the dominant lineages identified in
an Oregon coast diatom bloom
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Although bacterioplankton and phytoplankton are generally perceived as closely linked in marine systems, specific interactions between discrete bacterioplankton and phytoplankton populations are largely unknown. However, measurements of bacterioplankton distributions during phytoplankton blooms may indicate specific microbial lineages that are responding to phytoplankton populations, and potentially controlling them by producing allelopathic compounds. Here we use a comprehensive molecular approach to identify, characterize and quantify bacterioplankton community responses to an Oregon coast diatom bloom. Total DAPI counts increased by nearly sevenfold in bloom samples, reaching 5.7 x 10(9) cells l(-1), and lineage-specific cell counts using fluorescence in situ hybridization (FISH) indicated that Bacteria accounted for approximately 89% of observed increases. Several dominant members of the bacterial community present outside the bloom (SAR11 and SAR86) did not contribute significantly to observed increases in bloom samples. Clone library and FISH data indicated that uncultured planctomycetes most closely related to Pirellula, and members of the OM43 clade of beta proteobacteria, reached 0.5 x 10(8) and 1.2 x 10(8) cells l(-1), respectively, and were among the dominant lineages in bloom samples.
C1 Cornell Univ, Dept Microbiol, Ithaca, NY 14853 USA.
Oregon State Univ, Coll Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Morris, RM (corresponding author), Cornell Univ, Dept Microbiol, Ithaca, NY 14853 USA.
EM rm352@cornell.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], 1972, FISHERIES RES BOARD
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Brinkmeyer R, 2000, EUR J PHYCOL, V35, P315, DOI 10.1017/S096702620000295X
Carlson CA, 1998, LIMNOL OCEANOGR, V43, P375, DOI 10.4319/lo.1998.43.3.0375
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
delGiorgio PA, 1997, NATURE, V385, P148, DOI 10.1038/385148a0
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DUCKLOW HW, 1983, BIOSCIENCE, V33, P494, DOI 10.2307/1309138
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
FUERST JA, 1991, APPL ENVIRON MICROB, V57, P3127, DOI 10.1128/AEM.57.11.3127-3134.1991
Fukami K., 1996, HARMFUL TOXIC ALGAL, P335
Gade D, 2004, MICROB ECOL, V47, P243, DOI 10.1007/s00248-003-1016-9
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Glöckner FO, 2003, P NATL ACAD SCI USA, V100, P8298, DOI 10.1073/pnas.1431443100
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gordon L.I., 1994, WOCE Operations Manual
Long RA, 2001, APPL ENVIRON MICROB, V67, P4975, DOI 10.1128/AEM.67.11.4975-4983.2001
Lovejoy C, 1998, APPL ENVIRON MICROB, V64, P2806
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
McCune B., 2002, Analysis of Ecological Communities
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
MOSES WC, 2004, 194 NE PAC GLOBEC LO
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Schlesner H, 2004, INT J SYST EVOL MICR, V54, P1567, DOI 10.1099/ijs.0.63113-0
SCHLESNER H, 1987, INT J SYST BACTERIOL, V37, P441, DOI 10.1099/00207713-37-4-441
STALEY JT, 1973, CAN J MICROBIOL, V19, P609, DOI 10.1139/m73-100
STARR MP, 1983, INT J SYST BACTERIOL, V33, P666, DOI 10.1099/00207713-33-3-666
Swofford D. L., 2003, PAUP PHYLOGENETIC AN
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Vergin KL, 2001, BIOTECHNIQUES, V30, P938, DOI 10.2144/01305bm03
WARD N, 1995, APPL ENVIRON MICROB, V61, P2270, DOI 10.1128/AEM.61.6.2270-2275.1995
Wetz MS, 2004, MAR ECOL PROG SER, V280, P95, DOI 10.3354/meps280095
WILLIAMS PJL, 1981, KIELER MEERESFORSCH, V5, P1
YOSHINAGA I, 1995, FISHERIES SCI, V61, P780, DOI 10.2331/fishsci.61.780
NR 42
TC 150
Z9 165
PD AUG
PY 2006
VL 8
IS 8
BP 1361
EP 1370
DI 10.1111/j.1462-2920.2006.01029.x
UT WOS:000238885300006
DA 2025-07-30
ER
PT J
AU Hou, SW
Pfreundt, U
Miller, D
Berman-Frank, I
Hess, WR
AF Hou, Shengwei
Pfreundt, Ulrike
Miller, Dan
Berman-Frank, Ilana
Hess, Wolfgang R.
TI mdRNA-Seq analysis of marine microbial communities from the northern Red
Sea
SO SCIENTIFIC REPORTS
DT Article
AB Metatranscriptomic differential RNA-Seq (mdRNA-Seq) identifies the suite of active transcriptional start sites at single-nucleotide resolution through enrichment of primary transcript 5' ends. Here we analyzed the microbial community at 45 m depth at Station A in the northern Gulf of Aqaba, Red Sea, during 500 m deep mixing in February 2012 using mdRNA-Seq and a parallel classical RNA-Seq approach. We identified promoters active in situ for five different pico-planktonic genera (the SAR11 clade of Alphaproteobacteria, Synechococcus of Cyanobacteria, Euryarchaeota, Thaumarchaeota, and Micromonas as an example for picoeukaryotic algae), showing the applicability of this approach to highly diverse microbial communities. 16S rDNA quantification revealed that 24% of the analyzed community were group II marine Euryarchaeota in which we identified a highly abundant non-coding RNA, Tan1, and detected very high expression of genes encoding intrinsically disordered proteins, as well as enzymes for the synthesis of specific B vitamins, extracellular peptidases, carbohydrate-active enzymes, and transport systems. These results highlight previously unknown functions of Euryarchaeota with community-wide relevance. The complementation of metatranscriptomic studies with mdRNA-Seq provides substantial additional information regarding transcriptional start sites, promoter activities, and the identification of non-coding RNAs.
C1 [Hou, Shengwei; Pfreundt, Ulrike; Hess, Wolfgang R.] Univ Freiburg, Fac Biol, Genet & Expt Bioinformat, Schanzlestr 1, D-79104 Freiburg, Germany.
[Miller, Dan; Berman-Frank, Ilana] Bar Ilan Univ, Fac Life Sci, Mina & Everard Goodman, IL-52900 Ramat Gan, Israel.
RP Hess, WR (corresponding author), Univ Freiburg, Fac Biol, Genet & Expt Bioinformat, Schanzlestr 1, D-79104 Freiburg, Germany.
EM wolfgang.hess@biologie.uni-freiburg.de
CR [Anonymous], RED SEA HYDROBIOLOGI
[Anonymous], APPL ENV MICROBIOL
[Anonymous], NUCLEIC ACIDS RES
Antunes A, 2011, ENV MICROBIOL REP, V3, P416, DOI 10.1111/j.1758-2229.2011.00264.x
Biton E, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006860
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
DeLong EF, 2006, P NATL ACAD SCI USA, V103, P6417, DOI 10.1073/pnas.0602079103
Deschamps P, 2014, GENOME BIOL EVOL, V6, P1549, DOI 10.1093/gbe/evu127
Dufresne A, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-5-r90
Dühring U, 2006, P NATL ACAD SCI USA, V103, P7054, DOI 10.1073/pnas.0600927103
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Esquivel RN, 2013, J BACTERIOL, V195, P3808, DOI 10.1128/JB.00572-13
Foster RA, 2009, LIMNOL OCEANOGR, V54, P219, DOI 10.4319/lo.2009.54.1.0219
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuller NJ, 2005, LIMNOL OCEANOGR, V50, P363, DOI 10.4319/lo.2005.50.1.0363
Georg J, 2014, PLANT CELL, V26, P3661, DOI 10.1105/tpc.114.129767
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hewson I, 2010, ENVIRON MICROBIOL, V12, P1940, DOI 10.1111/j.1462-2920.2010.02198.x
Holtzendorff J, 2002, ENVIRON MICROBIOL, V4, P644, DOI 10.1046/j.1462-2920.2002.00347.x
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Ionescu D, 2009, FEMS MICROBIOL ECOL, V69, P425, DOI 10.1111/j.1574-6941.2009.00721.x
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Jäger D, 2009, P NATL ACAD SCI USA, V106, P21878, DOI 10.1073/pnas.0909051106
Kashino Y, 2007, BBA-BIOENERGETICS, V1767, P1269, DOI 10.1016/j.bbabio.2007.08.008
KIMOR B, 1981, Journal of Plankton Research, V3, P445, DOI 10.1093/plankt/3.3.445
KIMOR B, 1977, MAR BIOL, V42, P55, DOI 10.1007/BF00392014
Klähn S, 2015, P NATL ACAD SCI USA, V112, pE6243, DOI 10.1073/pnas.1508412112
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kopf M, 2015, SCI REP-UK, V5, DOI 10.1038/srep09560
Lelong C, 1996, EMBO J, V15, P2160, DOI 10.1002/j.1460-2075.1996.tb00569.x
Li M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9933
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
LINDELL D, 1995, LIMNOL OCEANOGR, V40, P1130, DOI 10.4319/lo.1995.40.6.1130
Lindell D, 2001, APPL ENVIRON MICROB, V67, P3340, DOI 10.1128/AEM.67.8.3340-3349.2001
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Mazouni K, 2003, MOL MICROBIOL, V49, P1019, DOI 10.1046/j.1365-2958.2003.03609.x
Mitschke J, 2011, P NATL ACAD SCI USA, V108, P2124, DOI 10.1073/pnas.1015154108
Moitinho-Silva L, 2014, ENVIRON MICROBIOL, V16, P3683, DOI 10.1111/1462-2920.12533
Moore LR, 2013, P NATL ACAD SCI USA, V110, P8323, DOI 10.1073/pnas.1305998110
Moran MA, 2013, ISME J, V7, P237, DOI 10.1038/ismej.2012.94
Morcos S.A., 1970, OCEANOGRAPHY MARINE, V8, P73
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Ngugi DK, 2012, MOL ECOL, V21, P388, DOI 10.1111/j.1365-294X.2011.05378.x
Ouverney CC, 2000, APPL ENVIRON MICROB, V66, P4829, DOI 10.1128/AEM.66.11.4829-4833.2000
Penno S, 2006, ENVIRON MICROBIOL, V8, P1200, DOI 10.1111/j.1462-2920.2006.01010.x
Pfreundt U, 2016, BIOGEOSCIENCES, V13, P4135, DOI 10.5194/bg-13-4135-2016
Pfreundt U, 2016, BIOGEOSCIENCES, V13, P2319, DOI 10.5194/bg-13-2319-2016
Pfreundt U, 2014, MAR GENOM, V18, P93, DOI 10.1016/j.margen.2014.06.005
Pfreundt U, 2014, SCI REP-UK, V4, DOI 10.1038/srep06187
Philosof A, 2013, ENV MICROBIOL REP, V5, P475, DOI 10.1111/1758-2229.12037
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Post AF, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00131
Qian PY, 2011, ISME J, V5, P507, DOI 10.1038/ismej.2010.112
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Reiss Z., 2012, The Gulf of Aqaba: Ecological Micropaleontology, V50
Rognes T., 2015, **DATA OBJECT**, DOI 10.5281/zenodo.31443
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Shaked Y, 2008, GEOCHIM COSMOCHIM AC, V72, P1540, DOI 10.1016/j.gca.2008.01.005
Sharma CM, 2010, NATURE, V464, P250, DOI 10.1038/nature08756
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Six C, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-12-r259
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Soo RM, 2014, GENOME BIOL EVOL, V6, P1031, DOI 10.1093/gbe/evu073
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steglich C, 2003, ENVIRON MICROBIOL, V5, P681, DOI 10.1046/j.1462-2920.2003.00456.x
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Verhelst B, 2013, GENOME BIOL EVOL, V5, P2393, DOI 10.1093/gbe/evt189
Voigt K, 2014, ISME J, V8, P2056, DOI 10.1038/ismej.2014.57
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Westermann AJ, 2016, NATURE, V529, P496, DOI 10.1038/nature16547
WILBANKS SM, 1993, J BIOL CHEM, V268, P1226
WOLFVECHT A, 1992, DEEP-SEA RES, V39, P1393, DOI 10.1016/0198-0149(92)90075-5
Worden AZ, 2009, SCIENCE, V324, P268, DOI 10.1126/science.1167222
Wright PE, 2015, NAT REV MOL CELL BIO, V16, P18, DOI 10.1038/nrm3920
Xue B, 2010, BMC SYST BIOL, V4, DOI 10.1186/1752-0509-4-S1-S1
Yelton AP, 2016, ISME J, V10, P2946, DOI 10.1038/ismej.2016.64
Yutin N, 2012, BIOL DIRECT, V7, DOI 10.1186/1745-6150-7-34
NR 85
TC 12
Z9 12
PD OCT 19
PY 2016
VL 6
AR 35470
DI 10.1038/srep35470
UT WOS:000385953000001
DA 2025-07-30
ER
PT J
AU Alonso-Sáez, L
Sánchez, O
Gasol, JM
Balagué, V
Pedrós-Alio, C
AF Alonso-Saez, Laura
Sanchez, Olga
Gasol, Josep M.
Balague, Vanessa
Pedros-Alio, Carlos
TI Winter-to-summer changes in the composition and single-cell activity of
near-surface Arctic prokaryotes
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We collected surface samples in Franklin Bay (Western Arctic) from ice-covered to ice-free conditions, to determine seasonal changes in the identity and in situ activity of the prokaryotic assemblages. Catalysed reported fluorescence in situ hybridization was used to quantify the abundance of different groups, and combined with microautoradiography to determine the fraction of active cells taking up three substrates: glucose, amino acids and ATP. In surface waters, Archaea accounted for 16% of the total cell count in winter, but decreased to almost undetectable levels in summer, when Bacteria made up 97% of the total cell count. Alphaproteobacteria were the most abundant group followed by Bacteroidetes (average of 34% and 14% of total cell counts respectively). Some bacterial groups appearing in low abundances (< 10% of total cell counts), such as Betaproteobacteria, Roseobacter and Gammaproteobacteria, showed a high percentage of active cells. By contrast, more abundant groups, such as SAR11 or Bacteroidetes, had a lower percentage of active cells in the uptake of the substrates tested. Archaea showed low heterotrophic activity throughout the year. In comparison with temperate oceans, the percentage of active Bacteria in the uptake of the substrates was relatively high, even during the winter season.
C1 [Alonso-Saez, Laura; Gasol, Josep M.; Balague, Vanessa; Pedros-Alio, Carlos] CSIC, Inst Ciencias Mar, Dept Biol Marina & Oceanog, E-08003 Barcelona, Catalunya, Spain.
[Sanchez, Olga] Univ Autonoma Barcelona, Dept Genet & Microbiol, Bellaterra 08193, Catalunya, Spain.
RP Alonso-Sáez, L (corresponding author), CSIC, Inst Ciencias Mar, Dept Biol Marina & Oceanog, E-08003 Barcelona, Catalunya, Spain.
EM laura.alonso@ebc.uu.se
CR Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Amon RMW, 2004, ORGANIC CARBON CYCLE IN THE ARCTIC OCEAN, P83
[Anonymous], 1997, THESIS TU MUNCHEN MU
Bano N, 2004, APPL ENVIRON MICROB, V70, P781, DOI 10.1128/AEM.70.2.781-789.2004
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Carmack EC, 2004, MAR ECOL PROG SER, V277, P37, DOI 10.3354/meps277037
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
COTA GF, 1990, DEEP-SEA RES, V37, P1145, DOI 10.1016/0198-0149(90)90056-2
Cottrell MT, 2005, APPL ENVIRON MICROB, V71, P8506, DOI 10.1128/AEM.71.12.8506-8513.2005
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
delGiorgio PA, 1996, LIMNOL OCEANOGR, V41, P1169, DOI 10.4319/lo.1996.41.6.1169
DELONG EF, 1994, NATURE, V371, P695, DOI 10.1038/371695a0
Dennis AH., 2002, Biogeochemistry of Marine Dissolved Organic Matter, P665
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Ferrari VC, 1999, HYDROBIOLOGIA, V401, P55, DOI 10.1023/A:1003773907789
GALAND PE, 2008, J MAR SYS IN PRESS, DOI DOI 10.1016/JMARSYS.2007.12.001
Galand PE, 2006, AQUAT MICROB ECOL, V44, P115, DOI 10.3354/ame044115
Garneau ME, 2006, AQUAT MICROB ECOL, V42, P27, DOI 10.3354/ame042027
GARNEAU ME, 2008, J GEOPHYS R IN PRESS
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Herfort L, 2007, FEMS MICROBIOL ECOL, V62, P242, DOI 10.1111/j.1574-6941.2007.00397.x
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
KANEKO T, 1977, NATURE, V270, P596, DOI 10.1038/270596a0
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Pedrós-Alió C, 2002, DEEP-SEA RES PT II, V49, P805, DOI 10.1016/S0967-0645(01)00125-4
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Rich J, 1997, DEEP-SEA RES PT II, V44, P1645, DOI 10.1016/S0967-0645(97)00058-1
Rivkin RB, 1996, AQUAT MICROB ECOL, V10, P243, DOI 10.3354/ame010243
Sala MM, 2008, ENVIRON MICROBIOL, V10, P942, DOI 10.1111/j.1462-2920.2007.01513.x
Sherr BF, 2003, DEEP-SEA RES PT I, V50, P529, DOI 10.1016/S0967-0637(03)00030-X
Smith EM, 2003, AQUAT MICROB ECOL, V31, P203, DOI 10.3354/ame031203
SULLIVAN CW, 1990, MAR ECOL PROG SER, V63, P239, DOI 10.3354/meps063239
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
THINGSTAD TF, 1991, POLAR RES, V10, P255, DOI 10.1111/j.1751-8369.1991.tb00651.x
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Wells LE, 2006, LIMNOL OCEANOGR, V51, P47, DOI 10.4319/lo.2006.51.1.0047
Wells LE, 2003, AQUAT MICROB ECOL, V31, P19, DOI 10.3354/ame031019
Wheeler PA, 1996, NATURE, V380, P697, DOI 10.1038/380697a0
Wheeler PA, 1997, DEEP-SEA RES PT II, V44, P1571, DOI 10.1016/S0967-0645(97)00051-9
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
Yager PL, 2001, LIMNOL OCEANOGR, V46, P790, DOI 10.4319/lo.2001.46.4.0790
Yager PL, 1999, LIMNOL OCEANOGR, V44, P1882, DOI 10.4319/lo.1999.44.8.1882
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
NR 58
TC 128
Z9 142
PD SEP
PY 2008
VL 10
IS 9
BP 2444
EP 2454
DI 10.1111/j.1462-2920.2008.01674.x
UT WOS:000258203500023
DA 2025-07-30
ER
PT J
AU Brinkhoff, T
Giebel, HA
Simon, M
AF Brinkhoff, Thorsten
Giebel, Helge-Ansgar
Simon, Meinhard
TI Diversity, ecology, and genomics of the Roseobacter clade:: a
short overview
SO ARCHIVES OF MICROBIOLOGY
DT Review
AB Due to worldwide distribution, high abundance and availability of physiologically diverse isolates the Roseobacter clade is one of the most intensively studied groups of marine bacteria. Organisms of this clade have been detected in a large variety of habitats, from coastal regions to deep-sea sediments and from polar ice to tropical latitudes, and constitute up to 25% of the total bacterial community. Use of a multitude of organic compounds, sulfur oxidation, aerobic anoxygenic photosynthesis, oxidation of carbon monoxide, DMSP demethylation, and production of secondary metabolites are some of the important traits found in this clade. Physiological characteristics and the different isolation sources indicate that organisms of the Roseobacter clade occupy various ecological niches. Since the first description of Roseobacter spp. in 1991, 38 affiliated and validated genera have been described. More than half of these descriptions have been published within the last 3 years. Genome sequencing of currently 40 different strains demonstrates enormous interest in the genetic and metabolic diversity of these bacteria. Plasmids with an enormous size range are also widespread in the Roseobacter clade indicating an adaptive genomic structure. Comparisons with other highly relevant groups, like the SAR11 clade, have shown drastic differences in genome organization.
C1 [Brinkhoff, Thorsten; Giebel, Helge-Ansgar; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, ICMBM, D-26111 Oldenburg, Germany.
RP Brinkhoff, T (corresponding author), Carl von Ossietzky Univ Oldenburg, ICMBM, POB 2503, D-26111 Oldenburg, Germany.
EM Thorsten.Brinkhoff@icbm.de
CR Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
Arahal DR, 2005, INT J SYST EVOL MICR, V55, P2371, DOI 10.1099/ijs.0.63842-0
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Biebl H, 2005, INT J SYST EVOL MICR, V55, P1089, DOI 10.1099/ijs.0.63511-0
Brinkhoff T, 2004, APPL ENVIRON MICROB, V70, P2560, DOI 10.1128/AEM.70.4.2560-2565.2003
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Bruhn JB, 2005, APPL ENVIRON MICROB, V71, P7263, DOI 10.1128/AEM.71.11.7263-7270.2005
Bruhn JB, 2007, APPL ENVIRON MICROB, V73, P442, DOI 10.1128/AEM.02238-06
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Chen F, 2006, APPL ENVIRON MICROB, V72, P4995, DOI 10.1128/AEM.00056-06
Choi DH, 2007, INT J SYST EVOL MICR, V57, P270, DOI 10.1099/ijs.0.64552-0
Denner EBM, 2006, INT J SYST EVOL MICR, V56, P1355, DOI 10.1099/ijs.0.63751-0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gosink JJ, 1997, SYST APPL MICROBIOL, V20, P356, DOI 10.1016/S0723-2020(97)80003-3
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
Hansel CM, 2006, APPL ENVIRON MICROB, V72, P3543, DOI 10.1128/AEM.72.5.3543-3549.2006
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
Labrenz M, 2005, INT J SYST EVOL MICR, V55, P41, DOI 10.1099/ijs.0.63230-0
Labrenz M, 1998, INT J SYST BACTERIOL, V48, P1363, DOI 10.1099/00207713-48-4-1363
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Martens T, 2007, MICROB ECOL, V54, P31, DOI 10.1007/s00248-006-9165-2
Martens T, 2006, INT J SYST EVOL MICR, V56, P1293, DOI 10.1099/ijs.0.63724-0
Martínez-Checa F, 2005, INT J SYST EVOL MICR, V55, P2525, DOI 10.1099/ijs.0.63906-0
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Muramatsu Y, 2007, INT J SYST EVOL MICR, V57, P1304, DOI 10.1099/ijs.0.64572-0
Petursdottir SK, 1997, EXTREMOPHILES, V1, P94, DOI 10.1007/s007920050020
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Pradella S, 2004, APPL ENVIRON MICROB, V70, P3360, DOI 10.1128/AEM.70.6.3360-3369.2004
Pujalte MJ, 2005, INT J SYST EVOL MICR, V55, P631, DOI 10.1099/ijs.0.63442-0
Rao D, 2005, APPL ENVIRON MICROB, V71, P1729, DOI 10.1128/AEM.71.4.1729-1736.2005
Ruiz-Ponte C, 1998, INT J SYST BACTERIOL, V48, P537, DOI 10.1099/00207713-48-2-537
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schaefer JK, 2002, INT J SYST EVOL MICR, V52, P851, DOI [10.1099/ijs.0.01960-0, 10.1099/00207713-52-3-851]
Schwalbach MS, 2005, LIMNOL OCEANOGR, V50, P620, DOI 10.4319/lo.2005.50.2.0620
Sekiguchi H, 2002, MICROBIAL ECOL, V43, P82, DOI 10.1007/s00248-001-0034-8
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
SHIBA T, 1979, B JPN SOC SCI FISH, V45, P801
SHIBA T, 1991, SYST APPL MICROBIOL, V14, P140, DOI 10.1016/S0723-2020(11)80292-4
SOROKIN DY, 1995, MICROBIOLOGY+, V64, P295
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
Swingley WD, 2007, J BACTERIOL, V189, P683, DOI 10.1128/JB.01390-06
Uchino Y, 1998, J GEN APPL MICROBIOL, V44, P201, DOI 10.2323/jgam.44.201
Urbance JW, 2001, INT J SYST EVOL MICR, V51, P1059, DOI 10.1099/00207713-51-3-1059
Wagner-Döbler I, 2004, INT J SYST EVOL MICR, V54, P1177, DOI 10.1099/ijs.0.02850-0
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Yi H, 2007, INT J SYST EVOL MICR, V57, P815, DOI 10.1099/ijs.0.64568-0
Ying JY, 2007, INT J SYST EVOL MICR, V57, P1711, DOI 10.1099/ijs.0.64825-0
NR 49
TC 323
Z9 357
PD JUN
PY 2008
VL 189
IS 6
BP 531
EP 539
DI 10.1007/s00203-008-0353-y
UT WOS:000255741700001
DA 2025-07-30
ER
PT J
AU MULLINS, TD
BRITSCHGI, TB
KREST, RL
GIOVANNONI, SJ
AF MULLINS, TD
BRITSCHGI, TB
KREST, RL
GIOVANNONI, SJ
TI GENETIC COMPARISONS REVEAL THE SAME UNKNOWN BACTERIAL LINEAGES IN
ATLANTIC AND PACIFIC BACTERIOPLANKTON COMMUNITIES
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB The phylogenetic diversity of oligotrophic bacterioplankton communities was compared with 168 ribosomal RNA genes cloned from natural populations. The data reported here extend a previous analysis of a bacterioplankton 16S rRNA clone library with 15 additional nucleic acid clone sequences, to provide information on 60 168 rDNA clones from hydrostation S in the Sargasso Sea. The data were compared to partial sequences of 37 Bacterial 168 rDNA clones reported from a surface picoplankton population collected at the Aloha station in the North Pacific gyre, and partial sequences of 29 Bacterial 168 rRNA clones obtained from sites near Bermuda and the western California Current. The results support reports of diverse groups of previously unknown alpha-proteobacteria, gamma-proteobacteria, and cyanobacteria in oceanic surface samples. Three novel lineages (SAR 121, 125, 145) of proteobacteria were found. Several genes cloned from the Sargasso Sea were nearly identical to genes cloned from the Pacific samples, suggesting that these previously unrecognized bacteria groups (SAR11, SAR122, SAR86) are distributed widely in the surface waters of subtropical oceans. Two gene clones closely matched nucleotide sequences from the cultivated bacterial species Photo-bacterium phasphoreum and Alteromonas haloplanktis.
C1 OREGON STATE UNIV, DEPT MICROBIOL, CORVALLIS, OR 97331 USA.
CR BALDARI C, 1985, GENE, V35, P27, DOI 10.1016/0378-1119(85)90154-4
Baumann P, 1981, PROKARYOTES HDB HABI, P1352
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
CHAVEZ FP, 1991, LIMNOL OCEANOGR, V36, P1816, DOI 10.4319/lo.1991.36.8.1816
CHISHOLM SW, 1992, ARCH MICROBIOL, V157, P297, DOI 10.1007/BF00245165
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DOOLITTLE WF, 1975, J MOL EVOL, V4, P307, DOI 10.1007/BF01732533
FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
FERGUSON RL, 1984, APPL ENVIRON MICROB, V47, P49, DOI 10.1128/AEM.47.1.49-55.1984
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GAUTHIER MJ, 1992, INT J SYST BACTERIOL, V42, P568, DOI 10.1099/00207713-42-4-568
Giovanni S.J., 1993, OCEANOGRAPHY, V6, P95
Giovannoni S., 1991, NUCL ACID TECHNIQUES, P177
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
GLOVER HE, 1988, MAR ECOL PROG SER, V49, P127, DOI 10.3354/meps049127
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
HARASHIMA K, 1989, AEROBIC PHOTOSYNTHET, P41
HAYGOOD MG, 1992, J MAR BIOL ASSOC UK, V72, P149, DOI 10.1017/S0025315400048852
HURLEY JP, 1991, LIMNOL OCEANOGR, V36, P307, DOI 10.4319/lo.1991.36.2.0307
JANNASCH HW, 1959, LIMNOL OCEANOGR, V4, P128, DOI 10.4319/lo.1959.4.2.0128
KITATSUKAMOTO K, 1993, INT J SYST BACTERIOL, V43, P8, DOI 10.1099/00207713-43-1-8
KOGURE K, 1979, CAN J MICROBIOL, V25, P415, DOI 10.1139/m79-063
LANE DJ, 1988, METHOD ENZYMOL, V167, P138
LARSEN N, 1993, NUCLEIC ACIDS RES, V21, P3021, DOI 10.1093/nar/21.13.3021
LEDYARD KM, 1993, ARCH MICROBIOL, V160, P312, DOI 10.1007/BF00292083
Moore D.D., 1989, Current Protocols in Molecular Biology
OKAMURA K, 1985, ARCH MICROBIOL, V142, P12, DOI 10.1007/BF00409229
OLSEN GJ, 1991, NUCLEIC ACIDS RES, V19, P2017, DOI 10.1093/nar/19.suppl.2017
OLSON RJ, 1990, LIMNOL OCEANOGR, V35, P45, DOI 10.4319/lo.1990.35.1.0045
SAIKI RK, 1988, SCIENCE, V239, P487, DOI 10.1126/science.2448875
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
SANGER F, 1977, P NATL ACAD SCI USA, V74, P5463, DOI 10.1073/pnas.74.12.5463
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
SHIBA T, 1991, SYST APPL MICROBIOL, V14, P140, DOI 10.1016/S0723-2020(11)80292-4
SIEBURTH JM, 1987, CURR MICROBIOL, V14, P285, DOI 10.1007/BF01568138
URBACH E, 1992, NATURE, V355, P267, DOI 10.1038/355267a0
VAULOT D, 1990, LIMNOL OCEANOGR, V35, P1156, DOI 10.4319/lo.1990.35.5.1156
WARD DM, 1992, ADV MICROB ECOL, V12, P219
Waterbury J.B., 1989, BERGEYS MANUAL SYSTE, V3, P1728
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
NR 42
TC 351
Z9 385
PD JAN
PY 1995
VL 40
IS 1
BP 148
EP 158
DI 10.4319/lo.1995.40.1.0148
UT WOS:A1995QT29200014
DA 2025-07-30
ER
PT J
AU Fahlgren, C
Gómez-Consarnau, L
Zábori, J
Lindh, MV
Krejci, R
Mårtensson, EM
Nilsson, D
Pinhassi, J
AF Fahlgren, Camilla
Gomez-Consarnau, Laura
Zabori, Julia
Lindh, Markus V.
Krejci, Radovan
Martensson, E. Monica
Nilsson, Douglas
Pinhassi, Jarone
TI Seawater mesocosm experiments in the Arctic uncover differential
transfer of marine bacteria to aerosols
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Biogenic aerosols critically control atmospheric processes. However, although bacteria constitute major portions of living matter in seawater, bacterial aerosolization from oceanic surface layers remains poorly understood. We analysed bacterial diversity in seawater and experimentally generated aerosols from three Kongsfjorden sites, Svalbard. Construction of 16S rRNA gene clone libraries from paired seawater and aerosol samples resulted in 1294 sequences clustering into 149 bacterial and 34 phytoplankton operational taxonomic units (OTUs). Bacterial communities in aerosols differed greatly from corresponding seawater communities in three out of four experiments. Dominant populations of both seawater and aerosols were Flavobacteriia, Alphaproteobacteria and Gammaproteobacteria. Across the entire dataset, most OTUs from seawater could also be found in aerosols; in each experiment, however, several OTUs were either selectively enriched in aerosols or little aerosolized. Notably, a SAR11 clade OTU was consistently abundant in the seawater, but was recorded in significantly lower proportions in aerosols. A strikingly high proportion of colony-forming bacteria were pigmented in aerosols compared with seawater, suggesting that selection during aerosolization contributes to explaining elevated proportions of pigmented bacteria frequently observed in atmospheric samples. Our findings imply that atmospheric processes could be considerably influenced by spatiotemporal variations in the aerosolization efficiency of different marine bacteria.
C1 [Fahlgren, Camilla; Gomez-Consarnau, Laura; Lindh, Markus V.; Pinhassi, Jarone] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, SE-39182 Kalmar, Sweden.
[Zabori, Julia; Krejci, Radovan; Martensson, E. Monica; Nilsson, Douglas] Stockholm Univ, Dept Analyt Chem & Environm Sci, SE-11418 Stockholm, Sweden.
[Zabori, Julia; Krejci, Radovan; Martensson, E. Monica; Nilsson, Douglas] Stockholm Univ, Bert Bolin Ctr Climate Res, SE-11418 Stockholm, Sweden.
[Martensson, E. Monica] Uppsala Univ, Dept Earth Sci, SE-75236 Uppsala, Sweden.
RP Pinhassi, J (corresponding author), Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, Barlastgatan 11, SE-39182 Kalmar, Sweden.
EM jarone.pinhassi@lnu.se
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Amato P, 2007, FEMS MICROBIOL ECOL, V59, P242, DOI 10.1111/j.1574-6941.2006.00199.x
Arzel O, 2006, OCEAN MODEL, V12, P401, DOI 10.1016/j.ocemod.2005.08.002
BLANCHARD DC, 1982, APPL ENVIRON MICROB, V43, P1001, DOI 10.1128/AEM.43.5.1001-1005.1982
BLANCHARD DC, 1989, ESTUARIES, V12, P127, DOI 10.2307/1351816
BLANCHARD DC, 1970, SCIENCE, V170, P626, DOI 10.1126/science.170.3958.626
Brodie EL, 2007, P NATL ACAD SCI USA, V104, P299, DOI 10.1073/pnas.0608255104
Cho BC, 2011, FEMS MICROBIOL ECOL, V76, P327, DOI 10.1111/j.1574-6941.2011.01053.x
Després VR, 2012, TELLUS B, V64, DOI 10.3402/tellusb.v64i0.15598
Fahlgren C, 2011, AEROBIOLOGIA, V27, P107, DOI 10.1007/s10453-010-9181-z
Fahlgren C, 2010, APPL ENVIRON MICROB, V76, P3015, DOI 10.1128/AEM.02092-09
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Foulon E, 2008, ENVIRON MICROBIOL, V10, P2433, DOI 10.1111/j.1462-2920.2008.01673.x
Fröhlich-Nowoisky J, 2012, BIOGEOSCIENCES, V9, P1125, DOI 10.5194/bg-9-1125-2012
Fuentes E, 2010, ATMOS MEAS TECH, V3, P141, DOI 10.5194/amt-3-141-2010
Fuzzi S, 1997, ATMOS ENVIRON, V31, P287, DOI 10.1016/1352-2310(96)00160-4
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Griffin DW, 2006, AEROBIOLOGIA, V22, P211, DOI 10.1007/s10453-006-9033-z
GURIANSHERMAN D, 1993, FASEB J, V7, P1338, DOI 10.1096/fasebj.7.14.8224607
Hervàs A, 2009, ENVIRON MICROBIOL, V11, P1612, DOI 10.1111/j.1462-2920.2009.01926.x
Hultin KAH, 2011, ATMOS RES, V99, P1, DOI 10.1016/j.atmosres.2010.08.018
Hultin KAH, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012522
Junge K, 2008, BIOGEOSCIENCES, V5, P865, DOI 10.5194/bg-5-865-2008
Kellogg CA, 2006, TRENDS ECOL EVOL, V21, P638, DOI 10.1016/j.tree.2006.07.004
KIM HK, 1987, PLANT DIS, V71, P994, DOI 10.1094/PD-71-0994
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Knopf DA, 2011, NAT GEOSCI, V4, P88, DOI 10.1038/NGEO1037
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Leifer I, 2003, J ATMOS OCEAN TECH, V20, P1317, DOI 10.1175/1520-0426(2003)020<1317:OMOBSD>2.0.CO;2
Lohmann U, 2005, TELLUS B, V57, P261, DOI 10.1111/j.1600-0889.2005.00144.x
Lovejoy C, 2007, J PHYCOL, V43, P78, DOI 10.1111/j.1529-8817.2006.00310.x
MAKI LR, 1978, J APPL METEOROL, V17, P1049, DOI 10.1175/1520-0450(1978)017<1049:BABSOF>2.0.CO;2
MAKI LR, 1974, APPL MICROBIOL, V28, P456, DOI 10.1128/AEM.28.3.456-459.1974
Mayol E, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00557
MEDWIN H, 1989, J GEOPHYS RES-OCEANS, V94, P12751, DOI 10.1029/JC094iC09p12751
O'Dowd CD, 2007, PHILOS T R SOC A, V365, P1753, DOI 10.1098/rsta.2007.2043
Oksanen J., 2010, Vegan: Community ecology package
Orellana MV, 2011, P NATL ACAD SCI USA, V108, P13612, DOI 10.1073/pnas.1102457108
Phillips V TJ., 2008, Biogeosci. Discuss, V5, P1035
SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI DOI 10.1002/J.1538-7305.1948.TB01338.X
Soltis PS., 1998, MOL SYSTEMATICS PLAN
Struthers H, 2011, ATMOS CHEM PHYS, V11, P3459, DOI 10.5194/acp-11-3459-2011
Svendsen H, 2002, POLAR RES, V21, P133, DOI 10.1111/j.1751-8369.2002.tb00072.x
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Tong YY, 1997, PHOTOCHEM PHOTOBIOL, V65, P103, DOI 10.1111/j.1751-1097.1997.tb01884.x
Tong YY, 1997, ATMOS ENVIRON, V31, P897, DOI 10.1016/S1352-2310(96)00235-X
Urbano R, 2011, BIOGEOSCIENCES, V8, P301, DOI 10.5194/bg-8-301-2011
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Winter B, 1997, TELLUS B, V49, P72, DOI 10.1034/j.1600-0889.49.issue1.5.x
Zeng YX, 2009, POLAR BIOL, V32, P1447, DOI 10.1007/s00300-009-0641-2
NR 51
TC 29
Z9 32
PD JUN
PY 2015
VL 7
IS 3
BP 460
EP 470
DI 10.1111/1758-2229.12273
UT WOS:000354375100011
DA 2025-07-30
ER
PT J
AU Denux, M
Armenteros, M
Weber, L
Miller, CA
Sántha, K
Apprill, A
AF Denux, Manon
Armenteros, Maickel
Weber, Laura
Miller, Carolyn A.
Santha, Kinga
Apprill, Amy
TI Coral Reef Water Microbial Communities of Jardines de la Reina, Cuba
SO MICROORGANISMS
DT Article
AB Globally, coral reef ecosystems are undergoing significant change related to climate change and anthropogenic activities. Yet, the Cuban archipelago of Jardines de la Reina (JR) has experienced fewer stressors due to its geographical remoteness and high level of conservation. This study examines the surface and benthic reef water microbial communities associated with 32 reef sites along the JR archipelago and explores the relationship between the community composition of reef microorganisms examined using bacterial and archaeal small subunit ribosomal RNA gene (16S rRNA gene) sequencing compared to geographic, conservation/protection level, environmental, physicochemical, and reef benthic and pelagic community features. Reef nutrient concentrations were low and microbial communities dominated by picocyanobacteria and SAR11 and SAR86 clade bacteria, characteristic of an oligotrophic system. Reef water microbial community alpha and beta diversity both varied throughout the archipelago and were strongly related to geography. Three sites in the western archipelago showed unique microbial communities, which may be related to the hydrogeography and influences of the channels linking the Ana Maria gulf with the Caribbean Sea. Overall, this work provides the first extensive description of the reef microbial ecology of the Caribbean's 'Crown Jewel' reef system and a framework to evaluate the influence of ongoing stressors on the reef microorganisms.
C1 [Denux, Manon; Weber, Laura; Miller, Carolyn A.; Santha, Kinga; Apprill, Amy] Woods Hole Oceanog Inst, 266 Woods Hole Rd, Woods Hole, MA 02543 USA.
[Armenteros, Maickel] Univ Nacl Autonoma Mexico, Unidad Acad Mazatlan, Inst Ciencias Mar & Limnol, Mazatlan 82040, Mexico.
[Santha, Kinga] Univ Lausanne, Fac Geosci & Environm, CH-1015 Lausanne, Switzerland.
RP Apprill, A (corresponding author), Woods Hole Oceanog Inst, 266 Woods Hole Rd, Woods Hole, MA 02543 USA.
EM denuxmanon@gmail.com; maickel_armenteros@ola.icmyl.unam.mx;
aapprill@whoi.edu
CR Apprill A, 2021, AQUAT MICROB ECOL, V86, P115, DOI 10.3354/ame01961
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Apprill A, 2011, AQUAT MICROB ECOL, V62, P251, DOI 10.3354/ame01471
Arriaza L., 2008, Marine Current Estimations in Southeast Cuban Shelf
Becker CC, 2024, ENVIRON MICROBIOL, V26, DOI 10.1111/1462-2920.16610
Becker CC, 2023, PNAS NEXUS, V2, DOI 10.1093/pnasnexus/pgad287
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cox EF, 2006, MAR ECOL PROG SER, V324, P19, DOI 10.3354/meps324019
Davis NM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0605-2
Delgado-Baquerizo M, 2016, J ECOL, V104, P936, DOI 10.1111/1365-2745.12585
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Galand PE, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38500-x
Glasl B, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0705-7
González-Díaz P, 2018, B MAR SCI, V94, P229, DOI 10.5343/bms.2017.1035
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grupstra CGB, 2021, ANIM MICROBIOME, V3, DOI 10.1186/s42523-021-00086-4
Haas AF, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.42, 10.1038/nmicrobiol.2016.42]
Haas AF, 2013, PEERJ, V1, DOI 10.7717/peerj.108
Hansell DA, 2001, DEEP-SEA RES PT II, V48, P1649, DOI 10.1016/S0967-0645(00)00153-3
Hernández-Fernández L, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00747
Hoegh-Guldberg O, 2011, CORAL REEFS: AN ECOSYSTEM IN TRANSITION, P391, DOI 10.1007/978-94-007-0114-4_22
Jackson JBC, 2001, SCIENCE, V293, P629, DOI 10.1126/science.1059199
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lapointe BE, 1997, LIMNOL OCEANOGR, V42, P1119, DOI 10.4319/lo.1997.42.5_part_2.1119
Ma L, 2022, AQUAT MICROB ECOL, V88, P81, DOI 10.3354/ame01985
Martin BD, 2020, ANN APPL STAT, V14, P94, DOI [10.1214/19-aoas1283, 10.1214/19-AOAS1283]
Marzo-Pérez D, 2024, DIVERSITY-BASEL, V16, DOI 10.3390/d16050264
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
McNally SP, 2017, LIMNOL OCEANOGR, V62, P217, DOI 10.1002/lno.10389
Mouchka ME, 2010, INTEGR COMP BIOL, V50, P662, DOI 10.1093/icb/icq061
Navarro-Martínez ZM, 2022, MAR ECOL PROG SER, V690, P113, DOI 10.3354/meps14049
Nelson CE, 2023, ANNU REV MAR SCI, V15, P431, DOI 10.1146/annurev-marine-042121-080917
Nelson CE, 2013, ISME J, V7, P962, DOI 10.1038/ismej.2012.161
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Obura D.O., 2014, Coral Reef Monitoring Manual South-West Indian Ocean Islands
Oksanen J., 2023, vegan: Community Ecology Package.
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Valderrama SP, 2018, B MAR SCI, V94, P423, DOI 10.5343/bms.2016.1129
Pina-Amargós F, 2014, PEERJ, V2, DOI 10.7717/peerj.274
Pina-Amargs F.P., 2008, P 61 GULF CAR FISH I, P51
Precht WF, 2016, SCI REP-UK, V6, DOI 10.1038/srep31374
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Salerno JL, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw109
Tout J, 2014, MICROB ECOL, V67, P540, DOI 10.1007/s00248-013-0362-5
Weber L, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00184-7
Weber L, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.582161
Weber L, 2019, LIMNOL OCEANOGR, V64, P2373, DOI 10.1002/lno.11190
Weber L, 2020, ENVIRON MICROBIOL, V22, P499, DOI 10.1111/1462-2920.14870
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
NR 49
TC 0
Z9 0
PD SEP
PY 2024
VL 12
IS 9
AR 1822
DI 10.3390/microorganisms12091822
UT WOS:001323242900001
DA 2025-07-30
ER
PT J
AU Teng, ZJ
Qin, QL
Zhang, WP
Li, J
Fu, HH
Wang, P
Lan, MS
Lu, GF
He, JF
McMinn, A
Wang, M
Chen, XL
Zhang, YZ
Chen, Y
Li, CY
AF Teng, Zhao-Jie
Qin, Qi-Long
Zhang, Weipeng
Li, Jian
Fu, Hui-Hui
Wang, Peng
Lan, Musheng
Lu, Guangfu
He, Jianfeng
McMinn, Andrew
Wang, Min
Chen, Xiu-Lan
Zhang, Yu-Zhong
Chen, Yin
Li, Chun-Yang
TI Biogeographic traits of dimethyl sulfide and dimethylsulfoniopropionate
cycling in polar oceans
SO MICROBIOME
DT Article
AB Background: Dimethyl sulfide (DMS) is the dominant volatile organic sulfur in global oceans. The predominant source of oceanic DMS is the cleavage of dimethylsulfoniopropionate (DMSP), which can be produced by marine bacteria and phytoplankton. Polar oceans, which represent about one fifth of Earth's surface, contribute significantly to the global oceanic DMS sea-air flux. However, a global overview of DMS and DMSP cycling in polar oceans is still lacking and the key genes and the microbial assemblages involved in DMSP/DMS transformation remain to be fully unveiled.
Results: Here, we systematically investigated the biogeographic traits of 16 key microbial enzymes involved in DMS/DMSP cycling in 60 metagenomic samples from polar waters, together with 174 metagenome and 151 metatranscriptomes from non-polar Tara Ocean dataset. Our analyses suggest that intense DMS/DMSP cycling occurs in the polar oceans. DMSP demethylase (DmdA), DMSP lyases (DddD, DddP, and DddK), and trimethylamine monooxygenase (Tmm, which oxidizes DMS to dimethylsulfoxide) were the most prevalent bacterial genes involved in global DMS/DMSP cycling. Alphaproteobacteria (Pelagibacterales) and Gammaproteobacteria appear to play prominent roles in DMS/DMSP cycling in polar oceans. The phenomenon that multiple DMS/DMSP cycling genes co-occurred in the same bacterial genome was also observed in metagenome assembled genomes (MAGs) from polar oceans. The microbial assemblages from the polar oceans were significantly correlated with water depth rather than geographic distance, suggesting the differences of habitats between surface and deep waters rather than dispersal limitation are the key factors shaping microbial assemblages involved in DMS/DMSP cycling in polar oceans.
Conclusions: Overall, this study provides a global overview of the biogeographic traits of known bacterial genes involved in DMS/DMSP cycling from the Arctic and Antarctic oceans, laying a solid foundation for further studies of DMS/DMSP cycling in polar ocean microbiome at the enzymatic, metabolic, and processual levels.
C1 [Teng, Zhao-Jie; Qin, Qi-Long; Li, Jian; Zhang, Yu-Zhong] Shandong Univ, State Key Lab Microbial Technol, Marine Biotechnol Res Ctr, Qingdao 266237, Peoples R China.
[Zhang, Weipeng; Fu, Hui-Hui; Wang, Peng; Wang, Min; Chen, Xiu-Lan; Zhang, Yu-Zhong; Chen, Yin; Li, Chun-Yang] Ocean Univ China, Coll Marine Life Sci, Inst Adv Ocean Study, Qingdao 266003, Peoples R China.
[Fu, Hui-Hui; Wang, Peng; Chen, Xiu-Lan; Zhang, Yu-Zhong; Li, Chun-Yang] Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Biol & Biotechnol, Qingdao 266373, Peoples R China.
[Lan, Musheng; Lu, Guangfu; He, Jianfeng] Polar Res Inst China, Key Lab Polar Sci MNR, Shanghai 200136, Peoples R China.
[McMinn, Andrew] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia.
[Chen, Yin] Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
RP Chen, Y; Li, CY (corresponding author), Ocean Univ China, Coll Marine Life Sci, Inst Adv Ocean Study, Qingdao 266003, Peoples R China.; Li, CY (corresponding author), Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Biol & Biotechnol, Qingdao 266373, Peoples R China.; Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Coventry, W Midlands, England.
EM Y.Chen.25@warwick.ac.uk; lcy@ouc.edu.cn
CR Acolombri U, 2014, BIOCHEMISTRY-US, V53, P5473, DOI 10.1021/bi500853s
Alcolombri U, 2015, SCIENCE, V348, P1466, DOI 10.1126/science.aab1586
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Ansede JH, 1999, APPL ENVIRON MICROB, V65, P5075
Asher E, 2017, J GEOPHYS RES-OCEANS, V122, P3269, DOI 10.1002/2016JC012465
Asher EC, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049712
BENNETT B, 1994, EUR J BIOCHEM, V225, P321, DOI 10.1111/j.1432-1033.1994.00321.x
Berresheim H, 1998, J GEOPHYS RES-ATMOS, V103, P1629, DOI 10.1029/97JD00695
Boden R, 2011, FEMS MICROBIOL LETT, V322, P188, DOI 10.1111/j.1574-6968.2011.02349.x
Bouillon RC, 2002, DEEP-SEA RES PT II, V49, P5171, DOI 10.1016/S0967-0645(02)00184-4
Boyd PW, 2000, NATURE, V407, P695, DOI 10.1038/35037500
Bray RC, 2001, BIOCHEMISTRY-US, V40, P9810, DOI 10.1021/bi010559r
Bray RC, 2000, BIOCHEMISTRY-US, V39, P11258, DOI 10.1021/bi0000521
Brummett AE, 2016, BIOCHEMISTRY-US, V55, P6162, DOI 10.1021/acs.biochem.6b00585
Brummett AE, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127288
Brunson Jason Cory, 2020, Journal of open source software, V5, DOI 10.21105/joss.02017
Bullock HA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00637
Carrión O, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7579
Carrión O, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01040
Carrión O, 2017, ISME J, V11, P2379, DOI 10.1038/ismej.2017.105
Carvajal-Endara S, 2017, ECOL LETT, V20, P495, DOI 10.1111/ele.12753
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Chen IMA, 2019, NUCLEIC ACIDS RES, V47, pD666, DOI 10.1093/nar/gky901
Chen Y, 2011, P NATL ACAD SCI USA, V108, P17791, DOI 10.1073/pnas.1112928108
Clark DR, 2021, GLOBAL ECOL BIOGEOGR, V30, P811, DOI 10.1111/geb.13266
Cui YS, 2015, APPL ENVIRON MICROB, V81, P4184, DOI 10.1128/AEM.03873-14
Curson ARJ, 2018, NAT MICROBIOL, V3, P430, DOI 10.1038/s41564-018-0119-5
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Damm E, 2008, MAR CHEM, V109, P45, DOI 10.1016/j.marchem.2007.12.003
Delille B, 2007, LIMNOL OCEANOGR, V52, P1367, DOI 10.4319/lo.2007.52.4.1367
Deschaseaux E, 2016, ENVIRON CHEM, V13, P239, DOI 10.1071/EN14258
Dixon P, 2003, J VEG SCI, V14, P927, DOI 10.1658/1100-9233(2003)014[0927:VAPORF]2.0.CO;2
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eyice Ö, 2018, ISME J, V12, P145, DOI 10.1038/ismej.2017.148
Fondi M, 2016, GENOME BIOL EVOL, V8, P1388, DOI 10.1093/gbe/evw077
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
GIBSON JAE, 1990, MAR BIOL, V104, P339, DOI 10.1007/BF01313276
Ginestet C, 2011, J ROY STAT SOC A, V174, P245, DOI 10.1111/j.1467-985X.2010.00676_9.x
Gondwe M, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001937
González JM, 2019, ISME J, V13, P1183, DOI 10.1038/s41396-019-0347-6
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Hatton AD, 2002, DEEP-SEA RES PT II, V49, P3053, DOI 10.1016/S0967-0645(02)00071-1
Hatton AD, 2007, AQUAT SCI, V69, P330, DOI 10.1007/s00027-007-0891-4
Horinouchi M, 1999, BIOSCI BIOTECH BIOCH, V63, P1765, DOI 10.1271/bbb.63.1765
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Jones G, 2010, DEEP-SEA RES PT II, V57, P863, DOI 10.1016/j.dsr2.2009.01.003
Kageyama H, 2018, ARCH BIOCHEM BIOPHYS, V645, P100, DOI 10.1016/j.abb.2018.03.019
Kameyania S, 2020, J PHYCOL, V56, P761, DOI 10.1111/jpy.12985
KIENE RP, 1990, NATURE, V345, P702, DOI 10.1038/345702a0
KIRST GO, 1991, MAR CHEM, V35, P381, DOI 10.1016/S0304-4203(09)90030-5
Kitts PA, 2016, NUCLEIC ACIDS RES, V44, pD73, DOI 10.1093/nar/gkv1226
Lana A, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003850
Leck C, 1996, TELLUS B, V48, P156, DOI 10.1034/j.1600-0889.1996.t01-1-00003.x
Lee PA, 2001, J PHYCOL, V37, P488, DOI 10.1046/j.1529-8817.2001.037004488.x
Lei L, 2018, BIOCHEMISTRY-US, V57, P3364, DOI 10.1021/acs.biochem.8b00097
LEVASSEUR M, 1994, MAR BIOL, V121, P381, DOI 10.1007/BF00346748
Li CY, 2021, ELIFE, V10, DOI 10.7554/eLife.64045
Li CY, 2017, J MOL BIOL, V429, P3850, DOI 10.1016/j.jmb.2017.10.022
Li CY, 2017, MOL MICROBIOL, V103, P992, DOI 10.1111/mmi.13605
Li CY, 2014, P NATL ACAD SCI USA, V111, P1026, DOI 10.1073/pnas.1312354111
Lidbury I, 2016, ENVIRON MICROBIOL, V18, P2754, DOI 10.1111/1462-2920.13354
Luce M, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006914
Mahajan AS, 2015, J GEOPHYS RES-ATMOS, V120, P2524, DOI 10.1002/2014JD022687
Matrai PA, 1997, J GEOPHYS RES-OCEANS, V102, P22965, DOI 10.1029/96JC03870
McDevitt CA, 2002, BIOCHEMISTRY-US, V41, P15234, DOI 10.1021/bi026221u
MCTAGGART AR, 1992, J GEOPHYS RES-OCEANS, V97, P14407, DOI 10.1029/92JC01025
Mestre M, 2018, P NATL ACAD SCI USA, V115, pE6799, DOI 10.1073/pnas.1802470115
Motard-Côté J, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007330
Nowinski B, 2019, ENVIRON MICROBIOL, V21, P1687, DOI 10.1111/1462-2920.14560
Peng M, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.03127-18
Pollard RT, 2009, NATURE, V457, P577, DOI 10.1038/nature07716
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Pritchard HD, 2012, NATURE, V484, P502, DOI 10.1038/nature10968
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Rellinger AN, 2009, DEEP-SEA RES PT I, V56, P686, DOI 10.1016/j.dsr.2008.12.010
Rignot E, 2013, SCIENCE, V341, P266, DOI 10.1126/science.1235798
Schlitzer R, 2002, COMPUT GEOSCI-UK, V28, P1211, DOI 10.1016/S0098-3004(02)00040-7
Schnicker NJ, 2017, BIOCHEMISTRY-US, V56, P2873, DOI 10.1021/acs.biochem.7b00099
Schuller DJ, 2012, PROTEIN SCI, V21, P289, DOI 10.1002/pro.2015
Shao X, 2019, MOL MICROBIOL, V111, P1057, DOI 10.1111/mmi.14211
Sievert SM, 2007, OCEANOGRAPHY, V20, P117, DOI 10.5670/oceanog.2007.55
Spiese CE, 2009, LIMNOL OCEANOGR, V54, P560, DOI 10.4319/lo.2009.54.2.0560
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Stefels J, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0169
Sul WJ, 2013, P NATL ACAD SCI USA, V110, P2342, DOI 10.1073/pnas.1212424110
Sullivan MJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0015972
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sunagawa S, 2013, NAT METHODS, V10, P1196, DOI [10.1038/NMETH.2693, 10.1038/nmeth.2693]
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Team RC, 2018, R: A Language and Environment for Statistical Computing
Thume K, 2018, NATURE, V563, P412, DOI 10.1038/s41586-018-0675-0
Tison JL, 2010, J GEOPHYS RES-BIOGEO, V115, DOI 10.1029/2010JG001427
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1624, DOI 10.1111/j.1462-2920.2009.01919.x
Tortell PD, 2011, DEEP-SEA RES PT I, V58, P241, DOI 10.1016/j.dsr.2010.12.006
TURNER SM, 1995, DEEP-SEA RES PT II, V42, P1059, DOI 10.1016/0967-0645(95)00066-Y
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang P, 2015, MOL MICROBIOL, V98, P289, DOI 10.1111/mmi.13119
Williams BT, 2019, NAT MICROBIOL, V4, P1815, DOI 10.1038/s41564-019-0527-1
Yau S, 2013, ISME J, V7, P1944, DOI 10.1038/ismej.2013.69
Zeng YX, 2019, CURR MICROBIOL, V76, P967, DOI 10.1007/s00284-019-01709-5
Zeng YX, 2016, SCI REP-UK, V6, DOI 10.1038/srep33031
Zhang HK, 2012, NUCLEIC ACIDS RES, V40, pW569, DOI 10.1093/nar/gks576
Zhang WP, 2020, MICROBIOME, V8, DOI [10.1186/s40168-020-00826-9, 10.3390/microorganisms8060953]
Zhang XH, 2019, SCI CHINA LIFE SCI, V62, P1296, DOI 10.1007/s11427-018-9524-y
NR 107
TC 29
Z9 31
PD OCT 16
PY 2021
VL 9
IS 1
AR 207
DI 10.1186/s40168-021-01153-3
UT WOS:000707635100001
DA 2025-07-30
ER
PT J
AU Bittner, MJ
Bannon, CC
Rowland, E
Sundh, J
Bertrand, EM
Andersson, AF
Paerl, RW
Riemann, L
AF Bittner, Meriel J.
Bannon, Catherine C.
Rowland, Elden
Sundh, John
Bertrand, Erin M.
Andersson, Anders F.
Paerl, Ryan W.
Riemann, Lasse
TI New chemical and microbial perspectives on vitamin B1 and vitamer
dynamics of a coastal system
SO ISME COMMUNICATIONS
DT Article
AB Vitamin B1 (thiamin, B1) is an essential micronutrient for cells, yet intriguingly in aquatic systems most bacterioplankton are unable to synthesize it de novo (auxotrophy), requiring an exogenous source. Cycling of this valuable metabolite in aquatic systems has not been fully investigated and vitamers (B1-related compounds) have only begun to be measured and incorporated into the B1 cycle. Here, we identify potential key producers and consumers of B1 and gain new insights into the dynamics of B1 cycling through measurements of B1 and vitamers (HMP: 4-amino-5-hydroxymethyl-2-methylpyrimidine, HET: 4-methyl-5-thiazoleethanol, FAMP: N-formyl-4-amino- 5-aminomethyl-2-methylpyrimidine) in the particulate and dissolved pool in a temperate coastal system. Dissolved B1 was not the primary limiting nutrient for bacterial production and was relatively stable across seasons with concentrations ranging from 74-117 pM, indicating a balance of supply and demand. However, vitamer concentration changed markedly with season as did transcripts related to vitamer salvage and transport suggesting use of vitamers by certain bacterioplankton, e.g. Pelagibacterales. Genomic and transcriptomic analyses showed that up to 78% of the bacterioplankton taxa were B1 auxotrophs. Notably, de novo B1 production was restricted to a few abundant bacterioplankton (e.g. Vulcanococcus, BACL14 ( Burkholderiales ), Verrucomicrobiales) across seasons. In summer, abundant picocyanobacteria were important putative B1 sources, based on transcriptional activity, leading to an increase in the B1 pool. Our results provide a new dynamic view of the players and processes involved in B1 cycling over time in coastal waters, and identify specific priority populations and processes for future study.
C1 [Bittner, Meriel J.; Riemann, Lasse] Univ Copenhagen, Dept Biol, Marine Biol Sect, Strandpromenaden 5, DK-3000 Helsingor, Denmark.
[Bannon, Catherine C.; Rowland, Elden; Bertrand, Erin M.] Dalhousie Univ, Dept Biol, Halifax, NS B3H 4R2, Canada.
[Sundh, John] Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Natl Bioinformat Infrastruct Sweden, Box 1031, S-17121 Solna, Sweden.
[Andersson, Anders F.] KTH Royal Inst Technol, Sch Engn Sci Chem Biotechnol & Hlth, Dept Gene Technol, Sci Life Lab, S-17165 Stockholm, Sweden.
[Paerl, Ryan W.] North Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC USA.
[Paerl, Ryan W.] NC State Univ, Dept Marine Earth & Atmospher Sci, 4135 Jordan Hall,2800 Faucette Dr, Raleigh, NC 27695 USA.
RP Bittner, MJ; Riemann, L (corresponding author), Univ Copenhagen, Dept Biol, Marine Biol Sect, Strandpromenaden 5, DK-3000 Helsingor, Denmark.; Paerl, RW (corresponding author), NC State Univ, Dept Marine Earth & Atmospher Sci, 4135 Jordan Hall,2800 Faucette Dr, Raleigh, NC 27695 USA.
EM meriel.bittner@bio.ku.dk; rpaerl@ncsu.edu; lriemann@bio.ku.dk
CR Anderson LN, 2016, ACS CHEM BIOL, V11, P345, DOI 10.1021/acschembio.5b00918
[Anonymous], 2006, Eos, Transactions American Geophysical Union, DOI DOI 10.1029/2006EO520001
Bale S, 2010, BIOCHEMISTRY-US, V49, P8929, DOI 10.1021/bi101209t
Bertrand EM, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00375
Bianchi T S., 2006, Biogeochemistry of Estuaries, DOI DOI 10.1093/OSO/9780195160826.001.0001
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bonnet S, 2010, LIMNOL OCEANOGR, V55, P1959, DOI 10.4319/lo.2010.55.5.1959
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Boysen AK, 2018, ANAL CHEM, V90, P1363, DOI 10.1021/acs.analchem.7b04400
Bruns S, 2022, ANAL BIOANAL CHEM, V414, P7839, DOI 10.1007/s00216-022-04317-8
Brussaard C.P.D., 2010, MANUAL AQUATIC VIRAL, P102, DOI [DOI 10.4319/MAVE.2010.978-0-9845591-0-7.102, 10.4319/mave.2010.978-0-9845591-0-7.102]
Burkholder P.R., 1963, Symposium on marine microbiology, P133
BURKHOLDER PR, 1968, CAN J MICROBIOL, V14, P537, DOI 10.1139/m68-091
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
CARLUCCI AF, 1969, J PHYCOL, V5, P302, DOI 10.1111/j.1529-8817.1969.tb02618.x
Celepli N, 2017, ENVIRON MICROBIOL, V19, P673, DOI 10.1111/1462-2920.13592
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Chiriac MC, 2023, ENVIRON MICROBIOL, V25, P606, DOI 10.1111/1462-2920.16313
Croft MT, 2007, P NATL ACAD SCI USA, V104, P20770, DOI 10.1073/pnas.0705786105
Croft MT, 2006, EUKARYOT CELL, V5, P1175, DOI 10.1128/EC.00097-06
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Cruz-López R, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00274
Dunne JP, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002008
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
DWIVEDI BK, 1973, J AGR FOOD CHEM, V21, P54, DOI 10.1021/jf60185a004
Ejsmond MJ, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-46422-2
Flindt MR, 1997, ECOL MODEL, V102, P17, DOI 10.1016/S0304-3800(97)00092-6
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Gaulke AK, 2010, ESTUAR COAST SHELF S, V90, P45, DOI 10.1016/j.ecss.2010.08.006
Gobler CJ, 2007, AQUAT MICROB ECOL, V49, P181, DOI 10.3354/ame01132
GOLD K, 1968, LIMNOL OCEANOGR, V13, P185, DOI 10.4319/lo.1968.13.1.0185
Gómez-Consarnau L, 2018, ENVIRON MICROBIOL, V20, P2809, DOI 10.1111/1462-2920.14133
Gómez-Consarnau L, 2016, ISME J, V10, P1102, DOI 10.1038/ismej.2015.196
Grasshoff K., 2009, Methods of seawater analysis, DOI DOI 10.1017/S0025315400028216
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Gutowska MA, 2017, MBIO, V8, DOI [10.1128/mBio.01459-17, 10.1128/mbio.01459-17]
Haft DH, 2013, NUCLEIC ACIDS RES, V41, pD387, DOI 10.1093/nar/gks1234
Heal KR, 2017, P NATL ACAD SCI USA, V114, P364, DOI 10.1073/pnas.1608462114
Heal KR, 2014, RAPID COMMUN MASS SP, V28, P2398, DOI 10.1002/rcm.7040
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Joglar V, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.01525-21
Joglar V, 2020, BIOGEOSCIENCES, V17, P2807, DOI 10.5194/bg-17-2807-2020
Jurgenson CT, 2009, ANNU REV BIOCHEM, V78, P569, DOI 10.1146/annurev.biochem.78.072407.102340
Kang DWD, 2019, PEERJ, V7, DOI 10.7717/peerj.7359
Koch F, 2013, LIMNOL OCEANOGR, V58, P1761, DOI 10.4319/lo.2013.58.5.1761
Koch F, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00363
Koch F, 2011, LIMNOL OCEANOGR, V56, P1023, DOI 10.4319/lo.2011.56.3.1023
Kolde R, 2019, R Package Version
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Lambert S, 2019, ISME J, V13, P388, DOI 10.1038/s41396-018-0281-z
Lanclos VC, 2023, ISME J, V17, P620, DOI 10.1038/s41396-023-01376-2
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lee MD., Happy Belly Bioinformatics
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
Li DH, 2016, METHODS, V102, P3, DOI 10.1016/j.ymeth.2016.02.020
Longnecker K, 2024, LIMNOL OCEANOGR, V69, P449, DOI 10.1002/lno.12497
Lundin D., SBDI Sativa curated 16S GTDB database
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Millero F.J., 2005, CHEM OCEANOGR, V3rd
Miranda-Ríos J, 2001, P NATL ACAD SCI USA, V98, P9736, DOI 10.1073/pnas.161168098
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Monteverde DR, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00434
Murali A, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0521-5
NATARAJAN KV, 1966, LIMNOL OCEANOGR, V11, P621, DOI 10.4319/lo.1966.11.4.0621
Okbamichael M, 2005, LIMNOL OCEANOGR-METH, V3, P241, DOI 10.4319/lom.2005.3.241
Paerl RW, 2015, LIMNOL OCEANOGR, V60, P215, DOI 10.1002/lno.10009
Paerl RW, 2023, MBIO, V14, DOI 10.1128/mbio.00061-23
Paerl RW, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-79157-6
Paerl RW, 2018, P NATL ACAD SCI USA, V115, pE10447, DOI 10.1073/pnas.1806425115
Paerl RW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24321-2
Paerl RW, 2017, ISME J, V11, P753, DOI 10.1038/ismej.2016.145
Panwar P, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00889-8
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parks DH, 2020, NAT BIOTECHNOL, V38, P1079, DOI 10.1038/s41587-020-0501-8
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Poulson-Ellestad KL, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00001
PRICE N M, 1988, Biological Oceanography, V6, P443
Provasoli L., 1974, ALGAL PHYSL BIOCH, P741
Roda-Garcia JJ, 2023, ENVIRON MICROBIOL, V25, P1136, DOI 10.1111/1462-2920.16348
Rodionov DA, 2002, J BIOL CHEM, V277, P48949, DOI 10.1074/jbc.M208965200
Rodionov DA, 2009, J BACTERIOL, V191, P42, DOI 10.1128/JB.01208-08
Rodionova IA, 2015, ENV MICROBIOL REP, V7, P204, DOI 10.1111/1758-2229.12227
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Sathe RRM, 2022, J BACTERIOL, V204, DOI 10.1128/jb.00503-21
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Sjqvist C, 2021, ISME J, V15, P3034, DOI 10.1038/s41396-021-00985-z
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
STOCKNER JG, 1989, HYDROBIOLOGIA, V173, P151, DOI 10.1007/BF00015525
STRATHMANN RR, 1967, LIMNOL OCEANOGR, V12, P411, DOI 10.4319/lo.1967.12.3.0411
Suffridge CP, 2018, J GEOPHYS RES-BIOGEO, V123, P2890, DOI 10.1029/2018JG004554
Suffridge C, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00011
Suffridge CP, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.606342
Sultana S, 2023, ISME J, V17, P836, DOI 10.1038/s41396-023-01391-3
Tang YZ, 2010, P NATL ACAD SCI USA, V107, P20756, DOI 10.1073/pnas.1009566107
Team RC, 2021, R LANG ENV STAT COMP, V1, P371
VISHNIAC H. S., 1961, LIMNOL AND OCEANOGR, V6, P36
Wickham H., 2019, J. Open Source Softw, V4, P1686, DOI [DOI 10.21105/JOSS.01686, 10.21105/joss.01686]
Wienhausen G, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.876726
NR 104
TC 5
Z9 5
PD JAN 10
PY 2024
VL 4
IS 1
AR ycad016
DI 10.1093/ismeco/ycad016
UT WOS:001346731500002
DA 2025-07-30
ER
PT J
AU Liu, L
Zhong, KX
Chen, Q
Wang, Y
Zhang, T
Jiao, NZ
Zheng, Q
AF Liu, Lu
Zhong, Kevin Xu
Chen, Qi
Wang, Yu
Zhang, Ting
Jiao, Nianzhi
Zheng, Qiang
TI Selective cell lysis pressure on rare and abundant prokaryotic taxa
across a shelf-to-slope continuum in the Northern South China Sea
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Microbial growth and mortality are fundamental to community assembly and drive the elemental biogeochemical cycles in the ocean. Virus-induced host lysis contributes, on average, half of prokaryotic mortality and has a substantial effect on composition and diversity of marine microbes. Nevertheless, virus-mediated taxon-specific cell lysis is few studied to date. In the present study, we investigated the taxon-specific cell lysis and estimated its contribution to the variations of community composition in rare and abundant microbial taxa. The dominant taxa Prochlorococcus, Synechococcus, SAR11, and Rhodobacteraceae displayed lower cell lysis index (CLI, the rate of extracellular to intracellular rRNA) in surface seawater. Meanwhile, Alteromonas, Pseudomonas, and Halomonas had high CLI values in the bottom seawater. Cell lysis contributed a larger percentage of variation in rare taxa (5.0%-9.4%) than in abundant taxa (0.1%-1.7%). Furthermore, linear regression analysis indicated that rare taxa were more likely to experience higher viral lysis pressure relative to abundant taxa. Our findings provide insight into the impact of virus-mediated cell lysis on prokaryotic community structure and diversity and further improve our understanding of the various abiotic and biotic factors contributing to community assembly in the ocean.IMPORTANCEVirus-induced host lysis contributes up to 40% of total prokaryotic mortality and plays crucial roles in shaping microbial composition and diversity in the ocean. Nonetheless, what taxon-specific cell lysis is caused by viruses remains to be studied. The present study, therefore, examined the taxon-specific cell lysis and estimated its contribution to the variations in the rare and abundant microbial taxa. The results demonstrate that taxon-specific mortality differed in surface and bottom of the coastal environment. In addition, active rare taxa are more susceptible to heightened lytic pressure and suggested the importance of viral lysis in regulating the microbial community composition. These results improve our understanding of bottom-up (abiotic environmental variables) and top-down (viral lysis) controls contributing to microbial community assembly in the ocean.
Virus-induced host lysis contributes up to 40% of total prokaryotic mortality and plays crucial roles in shaping microbial composition and diversity in the ocean. Nonetheless, what taxon-specific cell lysis is caused by viruses remains to be studied. The present study, therefore, examined the taxon-specific cell lysis and estimated its contribution to the variations in the rare and abundant microbial taxa. The results demonstrate that taxon-specific mortality differed in surface and bottom of the coastal environment. In addition, active rare taxa are more susceptible to heightened lytic pressure and suggested the importance of viral lysis in regulating the microbial community composition. These results improve our understanding of bottom-up (abiotic environmental variables) and top-down (viral lysis) controls contributing to microbial community assembly in the ocean.
C1 [Liu, Lu; Chen, Qi; Wang, Yu; Zhang, Ting; Jiao, Nianzhi; Zheng, Qiang] Xiamen Univ, Inst Marine Microbes & Ecospheres, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Liu, Lu; Chen, Qi; Wang, Yu; Zhang, Ting; Jiao, Nianzhi; Zheng, Qiang] Xiamen Univ, Fujian Key Lab Marine Carbon Sequestrat, Xiamen, Peoples R China.
[Zhong, Kevin Xu] Univ British Columbia, Dept Earth Ocean & Atmospher Sci, Vancouver, BC, Canada.
RP Zheng, Q (corresponding author), Xiamen Univ, Inst Marine Microbes & Ecospheres, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.; Zheng, Q (corresponding author), Xiamen Univ, Fujian Key Lab Marine Carbon Sequestrat, Xiamen, Peoples R China.
EM zhengqiang@xmu.edu.cn
CR Afgan E, 2018, NUCLEIC ACIDS RES, V46, pW537, DOI 10.1093/nar/gky379
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Baudoux AC, 2007, LIMNOL OCEANOGR, V52, P2519, DOI 10.4319/lo.2007.52.6.2519
Bayles KW, 2014, NAT REV MICROBIOL, V12, P63, DOI 10.1038/nrmicro3136
Bekliz M, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00112-9
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Blazewicz SJ, 2020, ISME J, V14, P1520, DOI 10.1038/s41396-020-0617-3
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Cai WJ, 2004, CONT SHELF RES, V24, P1301, DOI 10.1016/j.csr.2004.04.005
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carlson CJ, 2022, NATURE, V607, P555, DOI 10.1038/s41586-022-04788-w
Chen WD, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0749-8
Chen WD, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01912
Chen XW, 2021, SCI BULL, V66, P871, DOI 10.1016/j.scib.2020.12.014
Cram JA, 2016, LIMNOL OCEANOGR, V61, P889, DOI 10.1002/lno.10259
Danovaro R, 2008, NATURE, V454, P1084, DOI 10.1038/nature07268
Danovaro R, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1600492
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deutscher MP, 2009, PROG MOL BIOL TRANSL, V85, P369, DOI 10.1016/S0079-6603(08)00809-X
Flores GE, 2011, ENVIRON MICROBIOL, V13, P2158, DOI 10.1111/j.1462-2920.2011.02463.x
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2018, ENVIRON MICROBIOL, V20, P2809, DOI 10.1111/1462-2920.14133
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Hansen PJ, 1997, LIMNOL OCEANOGR, V42, P687, DOI 10.4319/lo.1997.42.4.0687
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Jiao NZ, 2011, APPL ENVIRON MICROB, V77, P7439, DOI 10.1128/AEM.05640-11
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Knowles B, 2016, NATURE, V539, P123, DOI 10.1038/nature19335
Lai JS, 2022, METHODS ECOL EVOL, V13, P782, DOI 10.1111/2041-210X.13800
Liu LM, 2015, ISME J, V9, P2068, DOI 10.1038/ismej.2015.29
Logares R, 2015, RES MICROBIOL, V166, P831, DOI 10.1016/j.resmic.2015.09.009
Logares R, 2014, CURR BIOL, V24, P813, DOI 10.1016/j.cub.2014.02.050
López-Pérez M, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-483
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mo YY, 2018, ISME J, V12, P2198, DOI 10.1038/s41396-018-0153-6
Mobberley JM, 2008, J VIROL, V82, P6618, DOI 10.1128/JVI.00140-08
Mruwat N, 2021, ISME J, V15, P41, DOI 10.1038/s41396-020-00752-6
Ning DL, 2019, P NATL ACAD SCI USA, V116, P16892, DOI 10.1073/pnas.1904623116
Oksanen J., 2013, COMMUNITY ECOLOGY PA, V2, P1
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parada V, 2007, APPL ENVIRON MICROB, V73, P4429, DOI 10.1128/AEM.00029-07
Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Pérez J, 2016, ENVIRON MICROBIOL, V18, P766, DOI 10.1111/1462-2920.13171
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rice SA, 2009, ISME J, V3, P271, DOI 10.1038/ismej.2008.109
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Sauret C, 2014, ENVIRON POLLUT, V194, P246, DOI 10.1016/j.envpol.2014.07.024
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Segata N, 2012, NAT METHODS, V9, P811, DOI [10.1038/NMETH.2066, 10.1038/nmeth.2066]
Seong KA, 2006, MAR ECOL PROG SER, V322, P85, DOI 10.3354/meps322085
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
SHERR BF, 1992, APPL ENVIRON MICROB, V58, P2381, DOI 10.1128/AEM.58.8.2381-2385.1992
Shu YQ, 2018, SCI CHINA EARTH SCI, V61, P560, DOI 10.1007/s11430-017-9152-y
Sloan WT, 2006, ENVIRON MICROBIOL, V8, P732, DOI 10.1111/j.1462-2920.2005.00956.x
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Sun P, 2022, WATER RES, V215, DOI 10.1016/j.watres.2022.118274
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 1997, HYDROBIOLOGIA, V363, P59
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Wang K, 2008, ENVIRON MICROBIOL, V10, P300, DOI 10.1111/j.1462-2920.2007.01452.x
Wei W, 2022, ISME J, V16, P1668, DOI 10.1038/s41396-022-01224-9
Weinbauer MG, 2004, ENVIRON MICROBIOL, V6, P1, DOI 10.1046/j.1462-2920.2003.00539.x
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Wienhausen G, 2022, ISME J, V16, P2599, DOI 10.1038/s41396-022-01304-w
Williams RJ, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00358
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
[谢睿 Xie Rui], 2020, [微生物学通报, Microbiology China], V47, P2685
Yeh YC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-35551-4
Yuan SJ, 2023, APPL ENVIRON MICROB, V89, DOI 10.1128/aem.01810-22
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhao Z, 2019, ISME J, V13, P2551, DOI 10.1038/s41396-019-0449-1
Zhong KX, 2023, ISME J, V17, P105, DOI 10.1038/s41396-022-01327-3
NR 85
TC 1
Z9 1
PD DEC
PY 2023
VL 89
IS 12
DI 10.1128/aem.01393-23
EA NOV 2023
UT WOS:001124421000001
DA 2025-07-30
ER
PT J
AU Thiele, S
Vader, A
Thomson, S
Saubrekka, K
Petelenz, E
Armo, HR
Müller, O
Olsen, L
Bratbak, G
Ovreås, L
AF Thiele, Stefan
Vader, Anna
Thomson, Stuart
Saubrekka, Karoline
Petelenz, Elzbieta
Armo, Hilde Rief
Mueller, Oliver
Olsen, Lasse
Bratbak, Gunnar
Ovreas, Lise
TI The summer bacterial and archaeal community composition of the northern
Barents Sea
SO PROGRESS IN OCEANOGRAPHY
DT Review
AB Climate change related alterations in the Arctic have influences on the marine ecosystems, in particular on phytoplankton bloom dynamics. Since phytoplankton blooms are the main provider of carbon sources to the microbial loop, the bacterial and archaeal community are affected by the changes as well. Warmer water and less sea ice can lead to an earlier onset of phytoplankton blooms and consequently also to changes in the bacterial and archaeal community dynamics throughout Arctic summers. Here, we compared the bacterial and archaeal community composition during three summers (2018, 2019, and 2021) along a transect from the Barents Sea to the Arctic Ocean north of Svalbard. We used 16S rRNA gene sequencing to investigate changes in the communities in time and space. The main results showed that, Gammaproteobacteria (Nitrincolaceae), Bacteroidia (Polaribacter), and Alphaproteobacteria (SAR11 clade 1a members) dominated the bacterial and archaeal community in the surface waters but varied in abundance patterns between the years. The variations are potentially a result of different phytoplankton bloom stages and consequently differences in the availability of carbon sources. The distinctly different deep water communities were dominated by Candidatos Nitrosopumilus, Marinimicrobia, and members of the SAR324 clade in all years. The results indicate that changes in phytoplankton bloom dynamics can influence bacterial and archaeal community and thereby marine carbon cycling in surface waters, although direct links to the effects of global warming remain uncertain.
C1 [Thiele, Stefan; Armo, Hilde Rief; Mueller, Oliver; Olsen, Lasse; Bratbak, Gunnar; Ovreas, Lise] Univ Bergen, Dept Biol Sci, Thorm Ohlensgate 53 A-B, N-5020 Bergen, Norway.
[Thiele, Stefan] Bjerknes Ctr Climate Res, Jahnebakken 5, N-5007 Bergen, Norway.
[Vader, Anna; Thomson, Stuart; Ovreas, Lise] Univ Ctr Svalbard UNIS, N-9171 Longyearbyen, Norway.
[Saubrekka, Karoline] Univ Oslo, Dept Biosci, Blindernvn 31, N-0371 Oslo, Norway.
RP Thiele, S (corresponding author), Univ Bergen, Dept Biol Sci, Thorm Ohlensgate 53 A-B, N-5020 Bergen, Norway.
EM Stefan.thiele@uib.no
CR Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Ardyna M, 2014, GEOPHYS RES LETT, V41, P6207, DOI 10.1002/2014GL061047
Arrigo KR, 2015, PROG OCEANOGR, V136, P60, DOI 10.1016/j.pocean.2015.05.002
Årthun M, 2012, J CLIMATE, V25, P4736, DOI 10.1175/JCLI-D-11-00466.1
Assmy Philipp, 2022, NPDC, DOI 10.21334/NPOLAR.2022.C86F931F
Assmy Philipp, 2022, NPDC, DOI 10.21334/NPOLAR.2022.AFE4302C
Assmy Philipp, 2022, NPDC, DOI 10.21334/NPOLAR.2022.DADCCF78
Assmy P, 2017, SCI REP-UK, V7, DOI 10.1038/srep40850
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chen WL, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.569309
Chierici M., 2021, WATER COLUMN DATA DI, P5, DOI [10.21335/NMDC-1472517325, DOI 10.21335/NMDC-1472517325]
Chierici M., 2021, KH 2018707 RV KRONPR, DOI [10.21335/NMDC-839276558, DOI 10.21335/NMDC-839276558]
Dalpadado P, 2020, PROG OCEANOGR, V185, DOI 10.1016/j.pocean.2020.102320
de Sousa AGG, 2019, MICROB ECOL, V78, P388, DOI 10.1007/s00248-018-01314-2
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Haug T., 2017, FISH RES
Jones E., 2022, NMDC, DOI [10.21335/NMDC- 1747434716, DOI 10.21335/NMDC-1747434716]
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Kohlbach D., 2023, PROG OCEANOGR
Li WKW, 2009, SCIENCE, V326, P539, DOI 10.1126/science.1179798
Lind S, 2012, DEEP-SEA RES PT I, V62, P70, DOI 10.1016/j.dsr.2011.12.007
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
LOENG H, 1991, POLAR RES, V10, P5, DOI 10.1111/j.1751-8369.1991.tb00630.x
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Mazerolle M., 2014, AICCMODAVG MODEL SEL
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mönnich J, 2020, ISME J, V14, P1614, DOI 10.1038/s41396-020-0631-5
Mori JF, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02435
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mueter FJ, 2009, PROG OCEANOGR, V81, P93, DOI 10.1016/j.pocean.2009.04.018
Muller O, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00024
O'Malley MA, 2008, STUD HIST PHI PART C, V39, P314, DOI 10.1016/j.shpsc.2008.06.005
Oksanen, 2022, VEGAN COMMUNITY ECOL
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paradis E, 2019, BIOINFORMATICS, V35, P526, DOI 10.1093/bioinformatics/bty633
Park BS, 2020, MAR ECOL-EVOL PERSP, V41, DOI 10.1111/maec.12591
Pedersen TL., 2019, PATCHWORK COMPOSER P
Polyakov IV, 2017, SCIENCE, V356, P285, DOI 10.1126/science.aai8204
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Puddu A, 2003, FEMS MICROBIOL ECOL, V46, P257, DOI 10.1016/S0168-6496(03)00197-1
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R.C. Team, 2022, A language and environment for statistical computing
Rantanen M, 2022, COMMUN EARTH ENVIRON, V3, DOI 10.1038/s43247-022-00498-3
Reigstad M, 2002, J MARINE SYST, V38, P9, DOI 10.1016/S0924-7963(02)00167-7
Reintjes G, 2020, ENVIRON MICROBIOL, V22, P1884, DOI 10.1111/1462-2920.14971
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Sakshaug E, 2004, ORGANIC CARBON CYCLE IN THE ARCTIC OCEAN, P57
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Smedsrud LH, 2013, REV GEOPHYS, V51, P415, DOI 10.1002/rog.20017
Ssekagiri A., 2017, MICROBIOMESEQ R PACK, DOI DOI 10.13140/RG.2.2.17108.71047
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
The Nansen Legacy, 2021, SAMPL PROT NANS LEG, DOI [10.7557/nlrs.5793, DOI 10.7557/NLRS.5793]
Thiele S, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10081618
Thiele S, 2015, APPL ENVIRON MICROB, V81, P1463, DOI 10.1128/AEM.02570-14
Thiele S, 2012, APPL ENVIRON MICROB, V78, P8803, DOI 10.1128/AEM.01814-12
Thompson AW, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00074-4
Wassmann P, 2011, GLOBAL CHANGE BIOL, V17, P1235, DOI 10.1111/j.1365-2486.2010.02311.x
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wickham H., 2020, scales: scale functions for visualization, V1
Wickham H., 2019, J OPEN SOURCE SOFTWA, V4, P1686, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
Wickham H., 2021, FORCATS TOOLS WORKIN
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Zeng YX, 2013, ANTON LEEUW INT J G, V103, P1309, DOI 10.1007/s10482-013-9912-6
NR 69
TC 11
Z9 11
PD JUL
PY 2023
VL 215
AR 103054
DI 10.1016/j.pocean.2023.103054
EA MAY 2023
UT WOS:001015146400001
DA 2025-07-30
ER
PT J
AU Parab, AS
Manohar, CS
AF Parab, Ashutosh Shankar
Manohar, Cathrine Sumathi
TI Insights into the seasonal changes in the taxonomic and functional
diversity of bacteria in the eastern Arabian Sea: Shotgun metagenomics
approach
SO MARINE ENVIRONMENTAL RESEARCH
DT Article
AB The eastern Arabian Sea (EAS) is known for its unique oceanographic features such as the seasonal monsoonal winds, upwelling of nutrient-rich waters and a significant increase in primary productivity during the monsoon season. In this study, we utilised the shotgun metagenomics approach to determine the seasonal variations in bacterial taxonomic and functional profiles during the non-monsoon and monsoon seasons in the EAS. Significant seasonal variations in the bacterial community structure were observed at the phylum and genera levels. These findings also correspond with seasonal shifts in the functional profiles of the bacterial communities based on the variations of genes encoding enzymes associated with different metabolic pathways. Pronounced seasonal variation of bacterial taxa was evident with an increased abundance of Idiomarina, Marinobacter, Psychrobacter and Alteromonas of Proteobacteria, Bacillus and Staphylococcus of Firmicutes during the non-monsoon season. These taxa were linked to elevated nucleotide and amino acid biosynthesis, amino acid and lipid degradation. Conversely, during the monsoon, the taxa composition changed with Alteromonas, Candidatus Pelagibacter of Proteobacteria and Cyanobacteria Synechococcus; contributing largely to the amino acid and lipid biosynthesis, fermentation and inorganic nutrient metabolism which was evident from functional analysis. Regression analysis confirmed that increased seasonal primary productivity significantly influenced the abundance of genes associated with carbohydrate, protein and lipid metabolism. These highlight the pivotal role of seasonal changes in primary productivity in shaping the bacterial communities, their functional profiles and driving the biogeochemical cycling in the EAS.
C1 [Parab, Ashutosh Shankar; Manohar, Cathrine Sumathi] CSIR Natl Inst Oceanog, Biol Oceanog Div, Panaji 403004, Goa, India.
[Parab, Ashutosh Shankar] Goa Univ, Sch Earth Ocean & Atmospher Sci, Taleigao Plateau 403206, Goa, India.
[Manohar, Cathrine Sumathi] Acad Sci & Innovat Res AcSIR, Ghaziabad 201002, Uttar Pradesh, India.
RP Manohar, CS (corresponding author), CSIR Natl Inst Oceanog, Biol Oceanog Div, Panaji 403004, Goa, India.
EM cathrine@nio.org
CR Anas A, 2021, REG STUD MAR SCI, V42, DOI 10.1016/j.rsma.2021.101660
Anas A, 2021, REG STUD MAR SCI, V41, DOI 10.1016/j.rsma.2020.101587
[Anonymous], 1994, Protocols for the Joint Global Ocean Flux Study (JGOFS) Core Measurements, Scientific Committee on Oceanic Research, V29, P170
Arandia-Gorostidi N, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.901201
Arnosti C, 2021, ANNU REV MAR SCI, V13, P81, DOI 10.1146/annurev-marine-032020-012810
Bachmann J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02836
Balmonte JP, 2024, ENVIRON MICROBIOL, V26, DOI 10.1111/1462-2920.16594
Balmonte JP, 2021, LIMNOL OCEANOGR, V66, P3489, DOI 10.1002/lno.11894
Balmonte JP, 2019, ENVIRON MICROBIOL, V21, P557, DOI 10.1111/1462-2920.14485
Basu S, 2013, MICROB ECOL, V65, P934, DOI 10.1007/s00248-012-0148-1
Bauersachs T, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0186360
Bhaskar PV, 2006, J EARTH SYST SCI, V115, P403, DOI 10.1007/BF02702869
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Brown SA, 2022, BIOGEOSCIENCES, V19, P5617, DOI 10.5194/bg-19-5617-2022
Cabello-Yeves PJ, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00374-1
Cantalapiedra CP, 2021, MOL BIOL EVOL, V38, P5825, DOI 10.1093/molbev/msab293
Castillo DJ, 2022, FEMS MICROBIOL ECOL, V98, DOI 10.1093/femsec/fiac123
Cullen JJ, 2015, ANNU REV MAR SCI, V7, P207, DOI 10.1146/annurev-marine-010213-135111
de la Iglesia-Vélez B, 2024, MAR ENVIRON RES, V194, DOI 10.1016/j.marenvres.2023.106331
Delgadillo-Nuño E, 2024, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1259783
DeVries T, 2022, ANNU REV ENV RESOUR, V47, P317, DOI 10.1146/annurev-environ-120920-111307
Dithugoe CD, 2023, MSPHERE, V8, DOI 10.1128/msphere.00420-22
Divya B, 2010, ANTON LEEUW INT J G, V98, P9, DOI 10.1007/s10482-010-9423-7
Drula E, 2022, NUCLEIC ACIDS RES, V50, pD571, DOI 10.1093/nar/gkab1045
Eigemann F, 2023, APPL ENVIRON MICROB, V89, DOI 10.1128/aem.00539-23
Francis B, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00385-y
Franzosa EA, 2018, NAT METHODS, V15, P962, DOI 10.1038/s41592-018-0176-y
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galloway-Peña J, 2020, DIGEST DIS SCI, V65, P674, DOI 10.1007/s10620-020-06091-y
Gao P, 2021, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.615221
Garg S, 2024, ENVIRON RES, V240, DOI 10.1016/j.envres.2023.117528
Gifford SM, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.575194
Gupta M, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2206504119
Gurevich A, 2013, BIOINFORMATICS, V29, P1072, DOI 10.1093/bioinformatics/btt086
Hammer O, 2006, PALEONTOLOGICAL DATA ANALYSIS, P1
Hede N, 2020, HYDROBIOLOGIA, V847, P4249, DOI 10.1007/s10750-020-04411-x
Huisman J, 2018, NAT REV MICROBIOL, V16, P471, DOI 10.1038/s41579-018-0040-1
Inomura K, 2022, NAT GEOSCI, V15, P1034, DOI 10.1038/s41561-022-01066-2
Jain A, 2020, MAR ENVIRON RES, V155, DOI 10.1016/j.marenvres.2020.104874
James AK, 2019, ENVIRON MICROBIOL, V21, P541, DOI 10.1111/1462-2920.14484
Jenkinson IR, 2023, J MAR SCI ENG, V11, DOI 10.3390/jmse11040783
Jurgensen SK, 2022, ISME J, V16, P972, DOI 10.1038/s41396-021-01143-1
Khodse VB, 2013, CONT SHELF RES, V68, P33, DOI 10.1016/j.csr.2013.08.004
Khodse VB, 2011, AQUAT MICROB ECOL, V64, P299, DOI 10.3354/ame01529
Kieft B, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2101178118
Kilgour DB, 2022, ATMOS CHEM PHYS, V22, P1601, DOI 10.5194/acp-22-1601-2022
Kindt R., 2005, Tree diversity analysis. A manual and software for common statistical methods for ecological and biodiversity studies
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Labbé N, 2004, INT J SYST EVOL MICR, V54, P269, DOI 10.1099/ijs.0.02793-0
Landa M, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy034
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lehmann MF, 2020, GEOCHIM COSMOCHIM AC, V283, P67, DOI 10.1016/j.gca.2020.05.025
Li DH, 2016, METHODS, V102, P3, DOI 10.1016/j.ymeth.2016.02.020
Li M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01125
Li WZ, 2012, BRIEF BIOINFORM, V13, P656, DOI 10.1093/bib/bbs035
Liu ST, 2018, MAR CHEM, V199, P37, DOI 10.1016/j.marchem.2018.01.005
Liu XP, 2022, WATER-SUI, V14, DOI 10.3390/w14193097
Lloyd C.C., 2024, Correlations among carbohydrate inventories, enzyme activities, and microbial communities in the western North Atlantic Ocean, DOI [10.5194/egusphere-2024-615, DOI 10.5194/EGUSPHERE-2024-615]
Lloyd CC, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.882333
Loza A, 2022, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.781497
Manni M, 2021, MOL BIOL EVOL, V38, P4647, DOI 10.1093/molbev/msab199
Maya MV, 2011, BIOGEOSCIENCES, V8, P3441, DOI 10.5194/bg-8-3441-2011
Miossec MJ, 2020, PEERJ, V8, DOI 10.7717/peerj.9688
Moran MA, 2022, NAT MICROBIOL, V7, P508, DOI 10.1038/s41564-022-01090-3
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Mühlenbruch M, 2018, ENVIRON MICROBIOL, V20, P2671, DOI 10.1111/1462-2920.14302
Neumann AM, 2015, ENVIRON MICROBIOL, V17, P3857, DOI 10.1111/1462-2920.12862
Paczkowska J, 2019, MAR ENVIRON RES, V151, DOI 10.1016/j.marenvres.2019.104778
Paingankar MS, 2020, CURR SCI INDIA, V118, P1042, DOI 10.18520/cs/v118/i7/1042-1051
Parab AS, 2022, CONT SHELF RES, V251, DOI 10.1016/j.csr.2022.104876
Parab AS, 2023, bioRxiv, DOI [10.1101/2023.07.05.547789, 10.1101/2023.07.05.547789, DOI 10.1101/2023.07.05.547789]
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Parvathi A, 2019, MOL BIOL REP, V46, P3113, DOI 10.1007/s11033-019-04766-y
Paysan-Lafosse T, 2023, NUCLEIC ACIDS RES, V51, pD418, DOI 10.1093/nar/gkac993
Pontiller B, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00575-21
Pradhan UK, 2014, ESTUAR COAST SHELF S, V151, P21, DOI 10.1016/j.ecss.2014.09.010
Quince C, 2017, NAT BIOTECHNOL, V35, P833, DOI 10.1038/nbt.3935
Ramaiah N, 2000, P INDIAN AS-EARTH, V109, P443
Rao MN, 2019, ENVIRON GEOCHEM HLTH, V41, P545, DOI 10.1007/s10653-018-0150-8
Rawlings ND, 2018, NUCLEIC ACIDS RES, V46, pD624, DOI 10.1093/nar/gkx1134
Reintjes G, 2017, ISME J, V11, P1640, DOI 10.1038/ismej.2017.26
Rizzo C, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8091422
Santhikrishnan S, 2021, CONT SHELF RES, V214, DOI 10.1016/j.csr.2020.104337
Sarma VVSS, 2014, J GEOPHYS RES-BIOGEO, V119, P2095, DOI 10.1002/2014JG002721
Saw JHW, 2020, MBIO, V11, DOI 10.1128/mBio.02975-19
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Shetye SS, 2022, ENVIRON MONIT ASSESS, V194, DOI 10.1007/s10661-022-10390-4
Shindoh S, 2021, MICROBES ENVIRON, V36, DOI 10.1264/jsme2.ME20150
Sidhu C, 2023, MICROBIOME, V11, DOI 10.1186/s40168-023-01517-x
Silori S, 2022, SCI TOTAL ENVIRON, V844, DOI 10.1016/j.scitotenv.2022.157044
Smriga S, 2016, P NATL ACAD SCI USA, V113, P1576, DOI 10.1073/pnas.1512307113
Stephens BM, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.590273
Sun FL, 2020, ESTUAR COAST SHELF S, V237, DOI 10.1016/j.ecss.2020.106698
Talbot HM, 2008, ORG GEOCHEM, V39, P232, DOI 10.1016/j.orggeochem.2007.08.006
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thiele S, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.705
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Traving SJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00351
Truong DT, 2015, NAT METHODS, V12, P902, DOI 10.1038/nmeth.3589
Tseng CH, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1434-3
Usman M, 2022, WATER RES, V213, DOI 10.1016/j.watres.2022.118164
Vijayan AK, 2021, J MARINE SYST, V215, DOI 10.1016/j.jmarsys.2020.103501
Vijayan J, 2023, ENVIRON SCI POLLUT R, V30, P28383, DOI 10.1007/s11356-023-25195-2
Vinayachandran PNM, 2021, BIOGEOSCIENCES, V18, P5967, DOI 10.5194/bg-18-5967-2021
Wei T, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.00326-21
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Yaradoddi JS, Actinobacteria. Rhizosphere Biology, DOI [10.1007/978-981-16-3353-9_2, DOI 10.1007/978-981-16-3353-9_2]
Zhang D, 2022, PLOS COMPUT BIOL, V18, DOI 10.1371/journal.pcbi.1010641
Zhang H, 2018, NUCLEIC ACIDS RES, V46, pW95, DOI 10.1093/nar/gky418
NR 111
TC 5
Z9 5
PD JUL
PY 2024
VL 199
AR 106616
DI 10.1016/j.marenvres.2024.106616
EA JUN 2024
UT WOS:001261981600001
DA 2025-07-30
ER
PT J
AU Sebastián, M
Smith, AF
González, JM
Fredricks, HF
Van Mooy, B
Koblízek, M
Brandsma, J
Koster, G
Mestre, M
Mostajir, B
Pitta, P
Postle, AD
Sánchez, P
Gasol, JM
Scanlan, DJ
Chen, Y
AF Sebastian, Marta
Smith, Alastair F.
Gonzalez, Jose M.
Fredricks, Helen F.
Van Mooy, Benjamin
Koblizek, Michal
Brandsma, Joost
Koster, Grielof
Mestre, Mireia
Mostajir, Behzad
Pitta, Paraskevi
Postle, Anthony D.
Sanchez, Pablo
Gasol, Josep M.
Scanlan, David J.
Chen, Yin
TI Lipid remodelling is a widespread strategy in marine heterotrophic
bacteria upon phosphorus deficiency
SO ISME JOURNAL
DT Article
AB Upon phosphorus (P) deficiency, marine phytoplankton reduce their requirements for P by replacing membrane phospholipids with alternative non-phosphorus lipids. It was very recently demonstrated that a SAR11 isolate also shares this capability when phosphate starved in culture. Yet, the extent to which this process occurs in other marine heterotrophic bacteria and in the natural environment is unknown. Here, we demonstrate that the substitution of membrane phospholipids for a variety of non-phosphorus lipids is a conserved response to P deficiency among phylogenetically diverse marine heterotrophic bacteria, including members of the Alphaproteobacteria and Flavobacteria. By deletion mutagenesis and complementation in the model marine bacterium Phaeobacter sp. MED193 and heterologous expression in recombinant Escherichia coli, we confirm the roles of a phospholipase C (PlcP) and a glycosyltransferase in lipid remodelling. Analyses of the Global Ocean Sampling and Tara Oceans metagenome data sets demonstrate that PlcP is particularly abundant in areas characterized by low phosphate concentrations. Furthermore, we show that lipid remodelling occurs seasonally and responds to changing nutrient conditions in natural microbial communities from the Mediterranean Sea. Together, our results point to the key role of lipid substitution as an adaptive strategy enabling heterotrophic bacteria to thrive in the vast P-depleted areas of the ocean.
C1 [Sebastian, Marta; Mestre, Mireia; Sanchez, Pablo; Gasol, Josep M.] CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, Barcelona, Spain.
[Smith, Alastair F.; Scanlan, David J.; Chen, Yin] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England.
[Gonzalez, Jose M.] Univ La Laguna, Dept Microbiol, E-38207 San Cristobal la Laguna, Spain.
[Fredricks, Helen F.; Van Mooy, Benjamin] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Koblizek, Michal] Ctr Algatech, Inst Microbiol, Trebon, Czech Republic.
[Brandsma, Joost; Koster, Grielof; Postle, Anthony D.] Univ Southampton, Fac Med, Clin & Expt Sci, Southampton SO9 5NH, Hants, England.
[Mostajir, Behzad] Univ Montpellier, CNRS, UMR 9190, Ctr Marine Biodivers Exploitat & Conservat,IRD,IF, Pl Eugene Bataillon,Case 93, F-34059 Montpellier, France.
[Pitta, Paraskevi] Oceanog Inst, Hellen Ctr Marine Res, Iraklion, Greece.
RP Sebastián, M (corresponding author), CSIC, Inst Ciencies Mar CMIMA, Dept Biol Marina & Oceanog, Pg Maritim Barceloneta 37-49, E-08003 Barcelona, Spain.
EM msebastian@icm.csic.es
CR Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Close HG, 2014, DEEP-SEA RES PT I, V85, P15, DOI 10.1016/j.dsr.2013.11.005
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Devers EA, 2011, J BACTERIOL, V193, P1377, DOI 10.1128/JB.00768-10
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
FANNING KA, 1992, J GEOPHYS RES-OCEANS, V97, P5693, DOI 10.1029/92JC00007
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Gasparovic B, 2014, DEEP-SEA RES PT I, V89, P56, DOI 10.1016/j.dsr.2014.04.005
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Havskum H, 2003, LIMNOL OCEANOGR, V48, P129, DOI 10.4319/lo.2003.48.1.0129
Hölzl G, 2005, GLYCOBIOLOGY, V15, P874, DOI 10.1093/glycob/cwi066
ICHO T, 1983, J BACTERIOL, V153, P722, DOI 10.1128/JB.153.2.722-730.1983
Karl DM, 2014, ANNU REV MAR SCI, V6, P279, DOI 10.1146/annurev-marine-010213-135046
Klug RM, 2001, P NATL ACAD SCI USA, V98, P5910, DOI 10.1073/pnas.101037998
Krom MD, 2010, PROG OCEANOGR, V85, P236, DOI 10.1016/j.pocean.2010.03.003
Laganowsky A, 2014, NATURE, V510, P172, DOI 10.1038/nature13419
Lidbury I, 2014, P NATL ACAD SCI USA, V111, P2710, DOI 10.1073/pnas.1317834111
Martin P, 2011, ISME J, V5, P1057, DOI 10.1038/ismej.2010.192
MINNIKIN DE, 1974, NATURE, V249, P268, DOI 10.1038/249268a0
Mira A, 2001, TRENDS GENET, V17, P589, DOI 10.1016/S0168-9525(01)02447-7
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Nakamura Y, 2007, J BIOL CHEM, V282, P29013, DOI 10.1074/jbc.M704385200
Parsons JB, 2013, PROG LIPID RES, V52, P249, DOI 10.1016/j.plipres.2013.02.002
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Popendorf KJ, 2013, LIPIDS, V48, P185, DOI 10.1007/s11745-012-3748-0
Popendorf KJ, 2011, ORG GEOCHEM, V42, P803, DOI 10.1016/j.orggeochem.2011.05.003
Riekhof WR, 2014, EUKARYOT CELL, V13, P749, DOI 10.1128/EC.00004-14
Riekhof WR, 2005, ARCH BIOCHEM BIOPHYS, V441, P96, DOI 10.1016/j.abb.2005.07.001
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sebastián M, 2013, ISME J, V7, P1665, DOI 10.1038/ismej.2013.42
Sebastián M, 2012, ENVIRON MICROBIOL, V14, P2334, DOI 10.1111/j.1462-2920.2012.02772.x
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
Semeniuk A, 2014, J BIOL CHEM, V289, P10104, DOI 10.1074/jbc.M113.519298
Sturt HF, 2004, RAPID COMMUN MASS SP, V18, P617, DOI 10.1002/rcm.1378
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tanaka T, 2007, DEEP-SEA RES PT I, V54, P1721, DOI 10.1016/j.dsr.2007.06.008
Thingstad TF, 2005, ECOL LETT, V8, P675, DOI 10.1111/j.1461-0248.2005.00768.x
Thingstad TF, 2005, LIMNOL OCEANOGR-METH, V3, P94, DOI 10.4319/lom.2005.3.94
Thingstad TF, 1999, PROG OCEANOGR, V44, P271, DOI 10.1016/S0079-6611(99)00029-4
Tjellström H, 2008, PLANT CELL ENVIRON, V31, P1388, DOI 10.1111/j.1365-3040.2008.01851.x
Umena Y, 2011, NATURE, V473, P55, DOI 10.1038/nature09913
Van Mooy BAS, 2008, BIOGEOSCIENCES, V5, P133, DOI 10.5194/bg-5-133-2008
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Van Mooy BAS, 2010, GEOCHIM COSMOCHIM AC, V74, P6499, DOI 10.1016/j.gca.2010.08.026
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Villanueva L, 2014, ENVIRON MICROBIOL, V16, P774, DOI 10.1111/1462-2920.12202
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zavaleta-Pastor M, 2010, P NATL ACAD SCI USA, V107, P302, DOI 10.1073/pnas.0912930107
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
NR 56
TC 91
Z9 95
PD APR
PY 2016
VL 10
IS 4
BP 968
EP 978
DI 10.1038/ismej.2015.172
UT WOS:000372364000016
DA 2025-07-30
ER
PT J
AU Durham, BP
Boysen, AK
Carlson, LT
Groussman, RD
Heal, KR
Cain, KR
Morales, RL
Coesel, SN
Morris, RM
Ingalls, AE
Armbrust, EV
AF Durham, Bryndan P.
Boysen, Angela K.
Carlson, Laura T.
Groussman, Ryan D.
Heal, Katherine R.
Cain, Kelsy R.
Morales, Rhonda L.
Coesel, Sacha N.
Morris, Robert M.
Ingalls, Anitra E.
Armbrust, E. Virginia
TI Sulfonate-based networks between eukaryotic phytoplankton and
heterotrophic bacteria in the surface ocean
SO NATURE MICROBIOLOGY
DT Article
AB In the surface ocean, phytoplankton transform inorganic substrates into organic matter that fuels the activity of heterotrophic microorganisms, creating intricate metabolic networks that determine the extent of carbon recycling and storage in the ocean. Yet, the diversity of organic molecules and interacting organisms has hindered detection of specific relationships that mediate this large flux of energy and matter. Here, we show that a tightly coupled microbial network based on organic sulfur compounds (sulfonates) exists among key lineages of eukaryotic phytoplankton producers and heterotrophic bacterial consumers in the North Pacific Subtropical Gyre. We find that cultured eukaryotic phytoplankton taxa produce sulfonates, often at millimolar internal concentrations. These same phytoplankton-derived sulfonates support growth requirements of an open-ocean isolate of the SAR11 Glade, the most abundant group of marine heterotrophic bacteria. Expression of putative sulfonate biosynthesis genes and sulfonate abundances in natural plankton communities over the diel cycle link sulfonate production to light availability. Contemporaneous expression of sulfonate catabolism genes in heterotrophic bacteria highlights active cycling of sulfonates in situ. Our study provides evidence that sulfonates serve as an ecologically important currency for nutrient and energy exchange between microbial autotrophs and heterotrophs, highlighting the importance of organic sulfur compounds in regulating ecosystem function.
C1 [Durham, Bryndan P.; Boysen, Angela K.; Carlson, Laura T.; Groussman, Ryan D.; Heal, Katherine R.; Cain, Kelsy R.; Morales, Rhonda L.; Coesel, Sacha N.; Morris, Robert M.; Ingalls, Anitra E.; Armbrust, E. Virginia] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
RP Durham, BP (corresponding author), Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
EM bpdurham@uw.eu
CR Agnello G, 2013, ACS CHEM BIOL, V8, P2264, DOI 10.1021/cb400335k
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
[Anonymous], THESIS
AUTRY AR, 1990, BIOL FERT SOILS, V10, P50
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
BATES TS, 1994, J GEOPHYS RES-OCEANS, V99, P7835, DOI 10.1029/93JC02782
Boiteau RM, 2015, METALLOMICS, V7, P877, DOI 10.1039/c5mt00005j
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Boroujerdi AFB, 2012, ANAL BIOANAL CHEM, V404, P777, DOI 10.1007/s00216-012-6169-2
Boysen AK, 2018, ANAL CHEM, V90, P1363, DOI 10.1021/acs.analchem.7b04400
BUSBY WF, 1973, PLANT CELL PHYSIOL, V14, P1123
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Celik E, 2017, ORG BIOMOL CHEM, V15, P2919, DOI 10.1039/c7ob00357a
Cook AM, 2002, ARCH MICROBIOL, V179, P1, DOI 10.1007/s00203-002-0497-0
Cook AM, 2006, ARCH MICROBIOL, V185, P83, DOI 10.1007/s00203-005-0069-1
Darriba D, 2011, BIOINFORMATICS, V27, P1164, DOI 10.1093/bioinformatics/btr088
Denger K, 2006, BIOCHEM J, V394, P657, DOI 10.1042/BJ20051311
Denger K, 2014, NATURE, V507, P114, DOI 10.1038/nature12947
Denger K, 2010, MICROBIOL-SGM, V156, P967, DOI 10.1099/mic.0.034736-0
Denger K, 2009, J BACTERIOL, V191, P5648, DOI 10.1128/JB.00569-09
Dickson Robert P., 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.113, DOI 10.1038/NMICROBIOL.2016.65]
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Durham BP, 2017, ENVIRON MICROBIOL, V19, P3500, DOI 10.1111/1462-2920.13834
Durham BP, 2015, P NATL ACAD SCI USA, V112, P453, DOI 10.1073/pnas.1413137112
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Felux AK, 2015, P NATL ACAD SCI USA, V112, pE4298, DOI 10.1073/pnas.1507049112
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC, V2nd, P45, DOI DOI 10.1002/9780470281840.CH3
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Götz F, 2018, MICROBIOLOGYOPEN, V7, DOI 10.1002/mbo3.586
Graham DE, 2009, BIOCHEM J, V424, P467, DOI 10.1042/BJ20090999
Graupner M, 2000, J BACTERIOL, V182, P3688, DOI 10.1128/JB.182.13.3688-3692.2000
Helgadóttir S, 2007, J BACTERIOL, V189, P575, DOI 10.1128/JB.01269-06
Ho TY, 2003, J PHYCOL, V39, P1145, DOI 10.1111/j.0022-3646.2003.03-090.x
Hunter JE, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02034-17
JACKSON AE, 1992, CAN J BOT, V70, P2198, DOI 10.1139/b92-272
Johnson WM, 2017, LIMNOL OCEANOGR-METH, V15, P417, DOI 10.1002/lom3.10181
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kopriva S, 1999, PLANT J, V20, P37, DOI 10.1046/j.1365-313X.1999.00573.x
Krejcik Z, 2010, MICROBIOL-SGM, V156, P1547, DOI 10.1099/mic.0.036699-0
Ksionzek KB, 2016, SCIENCE, V354, P456, DOI 10.1126/science.aaf7796
Landa M, 2017, ISME J, V11, P2677, DOI 10.1038/ismej.2017.117
Levine NM, 2016, SCIENCE, V354, P418, DOI 10.1126/science.aai8650
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
MacLean B, 2010, BIOINFORMATICS, V26, P966, DOI 10.1093/bioinformatics/btq054
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Mayer J, 2010, MICROBIOL-SGM, V156, P1556, DOI 10.1099/mic.0.037580-0
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Patiny L, 2013, J CHEM INF MODEL, V53, P1223, DOI 10.1021/ci300563h
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Satinsky BM, 2013, METHOD ENZYMOL, V531, P237, DOI 10.1016/B978-0-12-407863-5.00012-5
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Smith CA, 2006, ANAL CHEM, V78, P779, DOI 10.1021/ac051437y
Stamatakis A, 2008, SYST BIOL, V57, P758, DOI 10.1080/10635150802429642
Tevatia R, 2015, ALGAL RES, V9, P21, DOI 10.1016/j.algal.2015.02.012
Thaben PF, 2014, J BIOL RHYTHM, V29, P391, DOI 10.1177/0748730414553029
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Tsugawa H, 2015, NAT METHODS, V12, P523, DOI 10.1038/nmeth.3393
Warshan D, 2017, ISME J, V11, P2821, DOI 10.1038/ismej.2017.134
Weinitschke S, 2010, APPL ENVIRON MICROB, V76, P618, DOI 10.1128/AEM.01818-09
Wilson ST, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.118
NR 70
TC 106
Z9 122
PD OCT
PY 2019
VL 4
IS 10
BP 1706
EP 1715
DI 10.1038/s41564-019-0507-5
UT WOS:000487286800016
DA 2025-07-30
ER
PT J
AU Jensen, S
Lynch, MDJ
Ray, JL
Neufeld, JD
Hovland, M
AF Jensen, Sigmund
Lynch, Michael D. J.
Ray, Jessica L.
Neufeld, Josh D.
Hovland, Martin
TI Norwegian deep-water coral reefs: cultivation and molecular analysis of
planktonic microbial communities
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Deep-sea coral reefs do not receive sunlight and depend on plankton. Little is known about the plankton composition at such reefs, even though they constitute habitats for many invertebrates and fish. We investigated plankton communities from three reefs at 260-350m depth at hydrocarbon fields off the mid-Norwegian coast using a combination of cultivation and small subunit (SSU) rRNA gene and transcript sequencing. Eight months incubations of a reef water sample with minimal medium, supplemented with carbon dioxide and gaseous alkanes at in situ-like conditions, enabled isolation of mostly Alphaproteobacteria (Sulfitobacter, Loktanella),Gammaproteobacteria (Colwellia) and Flavobacteria (Polaribacter). The relative abundance of isolates in the original sample ranged from approximate to 0.01% to 0.80%. Comparisons of bacterial SSU sequences from filtered plankton of reef and non-reef control samples indicated high abundance and metabolic activity of primarily Alphaproteobacteria (SAR11 Ia), Gammaproteobacteria (ARCTIC96BD-19), but also of Deltaproteobacteria (Nitrospina, SAR324). Eukaryote SSU sequences indicated metabolically active microalgae and animals, including codfish, at the reef sites. The plankton community composition varied between reefs and differed between DNA and RNA assessments. Over 5000 operational taxonomic units were detected, some indicators of reef sites (e.g. Flavobacteria, Cercozoa, Demospongiae) and some more active at reef sites (e.g. Gammaproteobacteria, Ciliophora, Copepoda).
C1 [Jensen, Sigmund] Univ Bergen, Dept Biol, Bergen, Norway.
[Hovland, Martin] Univ Bergen, Ctr Geobiol, Bergen, Norway.
[Jensen, Sigmund] Inst Marine Res, N-5024 Bergen, Norway.
[Lynch, Michael D. J.; Neufeld, Josh D.] Univ Waterloo, Dept Biol, Waterloo, ON N2L 3G1, Canada.
[Ray, Jessica L.] Uni Res AS, Uni Environm, Bergen, Norway.
[Hovland, Martin] Ambio Tech Team, Stavanger, Norway.
RP Jensen, S (corresponding author), Univ Bergen, Dept Biol, Bergen, Norway.
EM sigmund.jensen@bio.uib.no
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], E10436RE11009 DEEPOC
[Anonymous], 2001, Molecular cloning, a laboratory manual, DOI DOI 10.1101/PDB.PROT4022
[Anonymous], 2004, ENVIRONMENT
BAKKEN LR, 1989, SOIL BIOL BIOCHEM, V21, P789, DOI 10.1016/0038-0717(89)90172-7
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Bartram AK, 2009, BIOTECHNIQUES, V47, P1016, DOI 10.2144/000113276
Berry D, 2011, APPL ENVIRON MICROB, V77, P7846, DOI 10.1128/AEM.05220-11
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Boetius A, 2013, NAT GEOSCI, V6, P725, DOI [10.1038/ngeo1926, 10.1038/NGEO1926]
Bourne D.G., 2013, PROKARYOTES PROKARYO, P163, DOI DOI 10.1007/978-3-642-30123-0_
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buhl-Mortensen L, 2010, MAR ECOL-EVOL PERSP, V31, P21, DOI 10.1111/j.1439-0485.2010.00359.x
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
CHAO A, 1987, BIOMETRICS, V43, P783, DOI 10.2307/2531532
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Díez B, 2001, APPL ENVIRON MICROB, V67, P2942, DOI 10.1128/AEM.67.7.2942-2951.2001
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Galkiewicz JP, 2011, FEMS MICROBIOL ECOL, V77, P333, DOI 10.1111/j.1574-6941.2011.01115.x
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Guillou L, 2008, ENVIRON MICROBIOL, V10, P3349, DOI 10.1111/j.1462-2920.2008.01731.x
Hansson L, 2009, MAR ECOL PROG SER, V397, P89, DOI 10.3354/meps08429
Henriet JP, 1998, NATURE, V391, P648, DOI 10.1038/35530
Hovland M., 1997, P1203
Hovland M, 2012, GEO-MAR LETT, V32, P545, DOI 10.1007/s00367-012-0284-0
Hovland Martin, 2008, P1
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Jensen S, 2008, DEEP-SEA RES PT I, V55, P1554, DOI 10.1016/j.dsr.2008.06.008
Jensen S, 2012, FEMS MICROBIOL ECOL, V82, P75, DOI 10.1111/j.1574-6941.2012.01408.x
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
López-García P, 2007, ENVIRON MICROBIOL, V9, P546, DOI 10.1111/j.1462-2920.2006.01158.x
Lozupone C, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-371
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Lynch MDJ, 2013, GIGASCIENCE, V2, DOI 10.1186/2047-217X-2-3
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
McCliment EA, 2012, ISME J, V6, P309, DOI 10.1038/ismej.2011.108
MOREL FMM, 1979, J PHYCOL, V15, P135, DOI 10.1111/j.0022-3646.1979.00135.x
Mueller C.E., 2013, BIOGEOSCIENCES DISCU, V10, P11375, DOI [DOI 10.5194/BGD-10-11375-2013, 10.5194/bgd-10-11375-2013]
Mühling M, 2008, ISME J, V2, P379, DOI 10.1038/ismej.2007.97
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nawrocki E. P., 2010, SSU ALIGN TOOL STRUC
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Neulinger SC, 2008, APPL ENVIRON MICROB, V74, P7272, DOI 10.1128/AEM.01777-08
Penn K, 2006, APPL ENVIRON MICROB, V72, P1680, DOI 10.1128/AEM.72.2.1680-1683.2006
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Raina JB, 2010, TRENDS MICROBIOL, V18, P101, DOI 10.1016/j.tim.2009.12.002
Redmond MC, 2012, P NATL ACAD SCI USA, V109, P20292, DOI 10.1073/pnas.1108756108
Roberts JM, 2009, MAR ECOL PROG SER, V397, P139, DOI 10.3354/meps08112
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schöttner S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032093
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
SIEBURTH JM, 1987, CURR MICROBIOL, V14, P285, DOI 10.1007/BF01568138
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
SOMERVILLE CC, 1989, APPL ENVIRON MICROB, V55, P548, DOI 10.1128/AEM.55.3.548-554.1989
SOROKIN YI, 1973, LIMNOL OCEANOGR, V18, P380, DOI 10.4319/lo.1973.18.3.0380
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
van Oevelen D, 2009, LIMNOL OCEANOGR, V54, P1829, DOI 10.4319/lo.2009.54.6.1829
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wild C, 2008, MAR ECOL PROG SER, V372, P67, DOI 10.3354/meps07724
Zubkov MV, 2008, NATURE, V455, P224, DOI 10.1038/nature07236
NR 74
TC 9
Z9 9
PD OCT
PY 2015
VL 17
IS 10
SI SI
BP 3597
EP 3609
DI 10.1111/1462-2920.12531
UT WOS:000363448500014
DA 2025-07-30
ER
PT J
AU Dong, HP
Hong, YG
Lu, SH
Xie, LY
AF Dong, Hong-Po
Hong, Yi-Guo
Lu, Songhui
Xie, Lu-Yuan
TI Metaproteomics reveals the major microbial players and their
biogeochemical functions in a productive coastal system in the northern
South China Sea
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB We study the metaproteome of the GF/F-prefiltered fraction of a microbial community from Shantou coast summer surface waters using a shotgun proteomic approach. Spectra attributed to the marine Roseobacter clade (MRC), the oligotrophic marine Gammaproteobacteria (OMG) group and Flavobacteria dominated in the microbial community, accounting for 21.0%, 23.2% and 12.7% of all of the detected spectra, respectively, whereas the SAR 92 clade accounted for 50% of the OMG group. The abundance of TonB-dependent receptors (TBDRs) was detected and the majority of TBDRs were attributed to the OMG, whereas a large number of ABC transporters matched to the MRC, which suggests niche separation in the microbial community. Expression of proteorhodopsin and RagB/SusD from Flavobacteria facilitates their attachment and growth on algal-derived organic matter. Taurine and glycine betaine appear to be an important source of carbon and nitrogen for the Rhodobacteraceae and SAR11 cluster. The detection of carbon monoxide dehydrogenase, formate dehydrogenase, O-acetylhomoserine sulfhydrylase and sulfur oxidation protein from the MRC demonstrated that members of the MRC play important roles in coastal ocean biogeochemical cycles. This study provides the first insight into functional processes occurring in microbial communities in coastal waters in the South China Sea.
C1 [Dong, Hong-Po; Lu, Songhui] Jinan Univ, Res Ctr Harmful Algae & Marine Biol, Key Lab Eutrophicat & Red Tide Prevent, Guangdong Higher Educ Inst, Guangzhou 510632, Guangdong, Peoples R China.
[Hong, Yi-Guo] Chinese Acad Sci, South China Sea Inst Oceanog, State Key Lab Trop Oceanog, Guangzhou 510632, Guangdong, Peoples R China.
[Xie, Lu-Yuan] Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
RP Dong, HP (corresponding author), Jinan Univ, Res Ctr Harmful Algae & Marine Biol, Key Lab Eutrophicat & Red Tide Prevent, Guangdong Higher Educ Inst, Guangzhou 510632, Guangdong, Peoples R China.
EM lusonghui1963@163.com
CR Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Chan KL, 2002, APPL ENVIRON MICROB, V68, P2278, DOI 10.1128/AEM.68.5.2278-2284.2002
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cornelis P, 2009, ENV MICROBIOL REP, V1, P256, DOI 10.1111/j.1758-2229.2009.00041.x
Cunliffe M, 2011, ISME J, V5, P685, DOI 10.1038/ismej.2010.170
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Gan JP, 2009, J GEOPHYS RES-OCEANS, V114, DOI 10.1029/2007JC004660
Gilbert HJ, 2008, STRUCTURE, V16, P987, DOI 10.1016/j.str.2008.06.002
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Han AQ, 2012, LIMNOL OCEANOGR, V57, P486, DOI 10.4319/lo.2012.57.2.0486
Hoch MP, 2006, LIMNOL OCEANOGR-METH, V4, P308, DOI 10.4319/lom.2006.4.308
Hopkinson BM, 2012, ENVIRON MICROBIOL, V14, P114, DOI 10.1111/j.1462-2920.2011.02539.x
Keller A, 2002, ANAL CHEM, V74, P5383, DOI 10.1021/ac025747h
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Lo I, 2007, NATURE, V446, P537, DOI 10.1038/nature05624
MATRAI PA, 1994, MAR BIOL, V119, P61, DOI 10.1007/BF00350107
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moran MA, 1997, LIMNOL OCEANOGR, V42, P1307, DOI 10.4319/lo.1997.42.6.1307
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Muller-Karger FE, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021346
Nesvizhskii AI, 2003, ANAL CHEM, V75, P4646, DOI 10.1021/ac0341261
OZAKI H, 1982, J BIOCHEM, V91, P1163, DOI 10.1093/oxfordjournals.jbchem.a133799
Ram RJ, 2005, SCIENCE, V308, P1915, DOI 10.1126/science. 1109070
Raymond PA, 2000, AQUAT MICROB ECOL, V22, P1, DOI 10.3354/ame022001
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schauer K, 2008, TRENDS BIOCHEM SCI, V33, P330, DOI 10.1016/j.tibs.2008.04.012
Schneider T, 2012, ISME J, V6, P1749, DOI 10.1038/ismej.2012.11
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Varkitzi I, 2010, HARMFUL ALGAE, V9, P304, DOI 10.1016/j.hal.2009.12.001
Verberkmoes NC, 2009, ISME J, V3, P179, DOI 10.1038/ismej.2008.108
Wang DZ, 2011, LIMNOL OCEANOGR, V56, P1641, DOI 10.4319/lo.2011.56.5.1641
Wiener MC, 2005, CURR OPIN STRUC BIOL, V15, P394, DOI 10.1016/j.sbi.2005.07.001
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wilm M, 1996, NATURE, V379, P466, DOI 10.1038/379466a0
Wilmes P, 2008, ISME J, V2, P853, DOI 10.1038/ismej.2008.38
Wu JF, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001924
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Yoshizawa S, 2012, ENVIRON MICROBIOL, V14, P1240, DOI 10.1111/j.1462-2920.2012.02702.x
Zimmer DP, 2000, P NATL ACAD SCI USA, V97, P14674, DOI 10.1073/pnas.97.26.14674
NR 47
TC 25
Z9 30
PD DEC
PY 2014
VL 6
IS 6
BP 683
EP 695
DI 10.1111/1758-2229.12188
UT WOS:000345702700017
DA 2025-07-30
ER
PT J
AU Preston, CM
Marin, R
Jensen, SD
Feldman, J
Birch, JM
Massion, EI
DeLong, EF
Suzuki, M
Wheeler, K
Scholin, CA
AF Preston, Christina M.
Marin, Roman, III
Jensen, Scott D.
Feldman, Jason
Birch, James M.
Massion, Eugene I.
DeLong, Edward F.
Suzuki, Marcelino
Wheeler, Kevin
Scholin, Christopher A.
TI Near real-time, autonomous detection of marine bacterioplankton on a
coastal mooring in Monterey Bay, California, using rRNA-targeted DNA
probes
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB A sandwich hybridization assay (SHA) was developed to detect 16S rRNAs indicative of phylogenetically distinct groups of marine bacterioplankton in a 96-well plate format as well as low-density arrays printed on a membrane support. The arrays were used in a field-deployable instrument, the Environmental Sample Processor (ESP). The SHA employs a chaotropic buffer for both cell homogenization and hybridization, thus target sequences are captured directly from crude homogenates. Capture probes for seven of nine different bacterioplankton clades examined reacted specifically when challenged with target and non-target 16S rRNAs derived from in vitro transcribed 16S rRNA genes cloned from natural samples. Detection limits were between 0.10-1.98 and 4.43- 12.54 fmole ml(-1) homogenate for the 96-well plate and array SHA respectively. Arrays printed with five of the bacterioplankton-specific capture probes were deployed on the ESP in Monterey Bay, CA, twice in 2006 for a total of 25 days and also utilized in a laboratory time series study. Groups detected included marine alphaproteobacteria, SAR11, marine cyanobacteria, marine group I crenarchaea, and marine group II euryarchaea. To our knowledge this represents the first report of remote in situ DNA probe-based detection of marine bacterioplankton.
C1 [Preston, Christina M.; Marin, Roman, III; Jensen, Scott D.; Feldman, Jason; Birch, James M.; Massion, Eugene I.; Wheeler, Kevin; Scholin, Christopher A.] Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
[Feldman, Jason] CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA.
[DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[DeLong, Edward F.] MIT, Div Biol Engn, Cambridge, MA 02139 USA.
[Suzuki, Marcelino] Univ Maryland, Chesapeake Biol Lab, Solomons, MD 20668 USA.
[Wheeler, Kevin] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA.
RP Preston, CM (corresponding author), Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
EM preston@mbari.org
CR [Anonymous], OCEANS 2005 MTS IEEE
Babin Marcel, 2005, Oceanography, V18, P210
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
Casper ET, 2004, APPL ENVIRON MICROB, V70, P4727, DOI 10.1128/AEM.70.8.4727-4732.2004
Chandler DP, 2004, APPL ENVIRON MICROB, V70, P2621, DOI 10.1128/AEM.70.5.2621-2631.2004
Chandler DP, 2003, APPL ENVIRON MICROB, V69, P2950, DOI 10.1128/AEM.69.5.2950-2958.2003
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
Dubelaar GBJ, 1999, CYTOMETRY, V37, P247, DOI 10.1002/(SICI)1097-0320(19991201)37:4<247::AID-CYTO1>3.3.CO;2-0
El Fantroussi S, 2003, APPL ENVIRON MICROB, V69, P2377, DOI 10.1128/AEM.69.4.2377-2382.2003
Ellison CK, 2005, MAR ECOL PROG SER, V288, P75, DOI 10.3354/meps288075
Fasham MJR, 2001, AMBIO, P4
GENTIEN P, 1995, DEEP-SEA RES PT I, V42, P1297, DOI 10.1016/0967-0637(95)00058-E
Goffredi SK, 2006, MAR BIOTECHNOL, V8, P149, DOI 10.1007/s10126-005-5016-2
Gonzalez JM, 1996, APPL ENVIRON MICROB, V62, P4433
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
GREENFIELD DI, 2008, LIMNOL OCEA IN PRESS
Greenfield DI, 2006, LIMNOL OCEANOGR-METH, V4, P426, DOI 10.4319/lom.2006.4.426
Haywood AJ, 2007, J PHYCOL, V43, P1271, DOI 10.1111/j.1529-8817.2007.00407.x
Jones WJ, 2008, MOL ECOL RESOUR, V8, P540, DOI 10.1111/j.1471-8286.2007.02021.x
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
Kirkpatrick GJ, 2000, LIMNOL OCEANOGR, V45, P467, DOI 10.4319/lo.2000.45.2.0467
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Metfies K, 2006, ECOL STU AN, V189, P311, DOI 10.1007/978-3-540-32210-8_24
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
*NOPP, 2005, SENS LIV OCEAN REP O
Paul J, 2007, OCEANOGRAPHY, V20, P70, DOI 10.5670/oceanog.2007.50
Peplies J, 2004, ENVIRON MICROBIOL, V6, P638, DOI 10.1111/j.1462-2920.2004.00588.x
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Pozhitkov A, 2006, NUCLEIC ACIDS RES, V34, DOI 10.1093/nar/gkl133
Rowan AK, 2005, APPL ENVIRON MICROB, V71, P8481, DOI 10.1128/AEM.71.12.8481-8490.2005
Ryan JP, 2005, MAR ECOL PROG SER, V287, P23, DOI 10.3354/meps287023
Scholin C, 1998, OCEAN COMMUNITY CONFERENCE'98: CELEBRATING 1998 INTERNATIONAL YEAR OF THE OCEAN, PROCEEDINGS VOLS 1 AND 2, P367
Scholin C., 2001, US Pat, Patent No. 6187530
Scholin CA, 1996, PHYCOLOGIA, V35, P190, DOI 10.2216/i0031-8884-35-3-190.1
Scholin C.A., 2008, P413
SHI Y, 2005, THESIS U MERYLAND CO
Short SM, 2005, METHOD ENZYMOL, V397, P380, DOI 10.1016/S0076-6879(05)97023-7
Small J, 2001, APPL ENVIRON MICROB, V67, P4708, DOI 10.1128/AEM.67.10.4708-4716.2001
SMITH GJ, 1992, LIMNOL OCEANOGR, V37, P989, DOI 10.4319/lo.1992.37.5.0989
Sosik HM, 2003, LIMNOL OCEANOGR, V48, P1756, DOI 10.4319/lo.2003.48.5.1756
Spiro A, 2000, APPL ENVIRON MICROB, V66, P4258, DOI 10.1128/AEM.66.10.4258-4265.2000
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Tyrrell JV, 2001, PHYCOLOGIA, V40, P457, DOI 10.2216/i0031-8884-40-5-457.1
VANNESS J, 1991, NUCLEIC ACIDS RES, V19, P5143
Wang XZ, 2005, OPT LETT, V30, P1087, DOI 10.1364/OL.30.001087
NR 50
TC 51
Z9 56
PD MAY
PY 2009
VL 11
IS 5
BP 1168
EP 1180
DI 10.1111/j.1462-2920.2009.01848.x
UT WOS:000265481600012
DA 2025-07-30
ER
PT J
AU Tsiola, A
Krasakopoulou, E
Daffonchio, D
Frangoulis, C
Tsagaraki, TM
Fodelianakis, S
Pitta, P
AF Tsiola, Anastasia
Krasakopoulou, Evangelia
Daffonchio, Daniele
Frangoulis, Constantin
Tsagaraki, Tatiana M.
Fodelianakis, Stilianos
Pitta, Paraskevi
TI Responses of Free-Living Planktonic Bacterial Communities to
Experimental Acidification and Warming
SO MICROORGANISMS
DT Article
AB Climate change driven by human activities encompasses the increase in atmospheric CO2 concentration and sea-surface temperature. Little is known regarding the synergistic effects of these phenomena on bacterial communities in oligotrophic marine ecosystems that are expected to be particularly vulnerable. Here, we studied bacterial community composition changes based on 16S rRNA sequencing at two fractions (0.1-0.2 and >0.2 mu m) during a 10- day fully factorial mesocosm experiment in the eastern Mediterranean where the pH decreased by similar to 0.3 units and temperature increased by similar to 3 degrees C to project possible future changes in surface waters. The bacterial community experienced significant taxonomic differences driven by the combined effect of time and treatment; a community shift one day after the manipulations was noticed, followed by a similar state between all mesocosms at the third day, and mild shifts later on, which were remarkable mainly under sole acidification. The abundance of Synechococcus increased in response to warming, while the SAR11 clade immediately benefited from the combined acidification and warming. The effect of the acidification itself had a more persistent impact on community composition. This study highlights the importance of studying climate change consequences on ecosystem functioning both separately and simultaneously, considering the ambient environmental parameters.
C1 [Tsiola, Anastasia; Frangoulis, Constantin; Tsagaraki, Tatiana M.; Pitta, Paraskevi] Hellen Ctr Marine Res, Inst Oceanog, Iraklion 71003, Crete, Greece.
[Krasakopoulou, Evangelia] Hellen Ctr Marine Res, Inst Oceanog, Anavyssos 19013, Attiki, Greece.
[Daffonchio, Daniele; Fodelianakis, Stilianos] King Abdullah Univ Sci & Technol KAUST, Red Sea Res Ctr, Biol & Environm Sci & Engn Div BESE, Thuwal 239556900, Saudi Arabia.
[Tsagaraki, Tatiana M.] Univ Bergen, Dept Biol Sci, N-5006 Bergen, Norway.
RP Tsiola, A (corresponding author), Hellen Ctr Marine Res, Inst Oceanog, Iraklion 71003, Crete, Greece.
EM atsiola@hcmr.gr
CR Aguayo P, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8121924
[Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Bach LT, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188198
Baltar F, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv058
Basu S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159508
Bergen B, 2016, ENVIRON MICROBIOL, V18, P4579, DOI 10.1111/1462-2920.13549
Browman HI, 2016, ICES J MAR SCI, V73, P529, DOI 10.1093/icesjms/fsw010
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bunse C, 2016, NAT CLIM CHANGE, V6, P483, DOI 10.1038/NCLIMATE2914
Cavicchioli R, 2019, NAT REV MICROBIOL, V17, P569, DOI 10.1038/s41579-019-0222-5
Celussi M, 2017, ESTUAR COAST SHELF S, V186, P125, DOI 10.1016/j.ecss.2015.08.015
Clarke K.R., 1994, CHANGE MARINE COMMUN
CLARKE KR, 1993, MAR ECOL PROG SER, V92, P205, DOI 10.3354/meps092205
Cornwall CE, 2016, ICES J MAR SCI, V73, P572, DOI 10.1093/icesjms/fsv118
Cubash U., 2013, CLIMATE CHANGE 2013
D'Amario B, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-69519-5
Dickson AG., 2007, Guide to Best Practices for Ocean CO2 Measurements, DOI 10.25607/OBP-1342
Dutkiewicz S, 2015, NAT CLIM CHANGE, V5, P1002, DOI [10.1038/NCLIMATE2722, 10.1038/nclimate2722]
Engel A, 2002, J PLANKTON RES, V24, P49, DOI 10.1093/plankt/24.1.49
Feng YY, 2009, MAR ECOL PROG SER, V388, P13, DOI 10.3354/meps08133
Fu FX, 2007, J PHYCOL, V43, P485, DOI 10.1111/j.1529-8817.2007.00355.x
Gattuso JP, 2015, SCIENCE, V349, DOI 10.1126/science.aac4722
Gattuso Jean-Pierre, 2024, CRAN
Gazeau F, 2017, ESTUAR COAST SHELF S, V186, P11, DOI 10.1016/j.ecss.2016.05.014
Goyet C, 2016, MEDITERR MAR SCI, V17, P508, DOI 10.12681/mms.1487
Grossart HP, 2006, LIMNOL OCEANOGR, V51, P1, DOI 10.4319/lo.2006.51.1.0001
Halpern BS, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8615
Hartmann M, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiv161
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Hyun B, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8100821
IVANCIC I, 1984, WATER RES, V18, P1143, DOI 10.1016/0043-1354(84)90230-6
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
Lin X, 2018, BIOGEOSCIENCES, V15, P551, DOI 10.5194/bg-15-551-2018
Lindh MV, 2013, ENV MICROBIOL REP, V5, P252, DOI 10.1111/1758-2229.12009
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Maugendre L, 2017, ESTUAR COAST SHELF S, V186, P89, DOI 10.1016/j.ecss.2015.03.009
Monier A, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00490
Morán XAG, 2010, GLOBAL CHANGE BIOL, V16, P1137, DOI 10.1111/j.1365-2486.2009.01960.x
Mousing EA, 2014, MAR ECOL PROG SER, V497, P25, DOI 10.3354/meps10583
Newbold LK, 2012, ENVIRON MICROBIOL, V14, P2293, DOI 10.1111/j.1462-2920.2012.02762.x
Obayashi Y., 2017, BIOGEOSCIENCES DISCU, P1, DOI [10.5194/bg-2016-560, DOI 10.5194/BG-2016-560]
Orr JC, 2018, MAR CHEM, V207, P84, DOI 10.1016/j.marchem.2018.10.006
Palmiéri J, 2015, BIOGEOSCIENCES, V12, P781, DOI 10.5194/bg-12-781-2015
Paul C, 2015, MAR ECOL PROG SER, V528, P39, DOI 10.3354/meps11264
Paulino A.I., 2007, BIOGEOSCIENCES DISCU, V4, P4173, DOI [DOI 10.5194/BGD-4-4173-2007, 10. 5194/bgd-4-4173-2007]
Piontek J, 2013, BIOGEOSCIENCES, V10, P297, DOI 10.5194/bg-10-297-2013
Polimene L, 2017, J PLANKTON RES, V39, P180, DOI 10.1093/plankt/fbw091
Polovina JJ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL031745
Rasconi S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140449
Rimmelin P, 2005, ANAL CHIM ACTA, V548, P174, DOI 10.1016/j.aca.2005.05.071
Roy AS, 2013, BIOGEOSCIENCES, V10, P555, DOI 10.5194/bg-10-555-2013
Sala MM, 2016, ICES J MAR SCI, V73, P670, DOI 10.1093/icesjms/fsv130
Schulz KG, 2013, BIOGEOSCIENCES, V10, P161, DOI 10.5194/bg-10-161-2013
Sharma AK, 2014, ENVIRON MICROBIOL, V16, P2815, DOI 10.1111/1462-2920.12254
Sieber CMK, 2019, MBIO, V10, DOI 10.1128/mBio.02128-19
Sommer U, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0125239
Strickland J.D.H., 1968, B FISH RES BOARD CAN, V167, P310, DOI [10.1002/iroh.19700550118, DOI 10.1002/IROH.19700550118]
Taucher J, 2021, NAT CLIM CHANGE, V11, P52, DOI 10.1038/s41558-020-00915-5
Tortell PD, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032583
Tsiola A, 2018, ENVIRON SCI-NANO, V5, P1965, DOI 10.1039/c8en00195b
Tsiola A, 2017, ESTUAR COAST SHELF S, V186, P139, DOI 10.1016/j.ecss.2016.05.003
Wang Y, 2016, ICES J MAR SCI, V73, P865, DOI 10.1093/icesjms/fsv187
Weels SSL, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10112103
WINNEPENNINCKX B, 1993, TRENDS GENET, V9, P407
YENTSCH CS, 1963, DEEP-SEA RES, V10, P221, DOI 10.1016/0011-7471(63)90358-9
Zhang R, 2013, BIOGEOSCIENCES, V10, P3679, DOI 10.5194/bg-10-3679-2013
NR 68
TC 3
Z9 3
PD FEB
PY 2023
VL 11
IS 2
AR 273
DI 10.3390/microorganisms11020273
UT WOS:000939937300001
DA 2025-07-30
ER
PT J
AU Zwart, G
van Hannen, EJ
Kamst-van Agterveld, MP
Van der Gucht, K
Lindström, ES
Van Wichelen, J
Lauridsen, T
Crump, BC
Han, SK
Declerck, S
AF Zwart, G
van Hannen, EJ
Kamst-van Agterveld, MP
Van der Gucht, K
Lindström, ES
Van Wichelen, J
Lauridsen, T
Crump, BC
Han, SK
Declerck, S
TI Rapid screening for freshwater bacterial groups by using reverse line
blot hybridization
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The identification of phylogenetic clusters of bacteria that are common in freshwater has provided a basis for probe design to target important freshwater groups. We present a set of 16S ribosomal RNA gene-based oligonucleotide probes specific for 15 of these freshwater clusters. The probes were applied in reverse line blot hybridization, a simple method that enables the rapid screening of PCR products from many samples against an array of probes. The optimized assay was made stringent to discriminate at approximately the single-mismatch level. This made 10 of the probes highly specific, with at least two mismatches to the closest noncluster member in the global database. Screening of PCR products from bacterioplankton of 81 diverse lakes from Belgium, The Netherlands, Denmark, Sweden, and Norway showed that the respective probes were reactive against 5 to 100% of the lake samples. Positive reactivity of six highly specific probes showed that bacteria from actinobacterial clusters ACK-M1 and Sta2-30 and from verrucomicrobial cluster CLO-14 occurred in at least 90% of the investigated lakes. Furthermore, bacteria from alpha-proteobacterial cluster LD12 (closely related to the marine SAR11 cluster), beta-proteobacterial cluster LD28 and cyanobacterial cluster Synechococcus 6b occurred in more than 70% of the lakes. Reverse line blot hybridization is a new tool in microbial ecology that will facilitate research on distribution and habitat specificity of target species at relatively low costs.
C1 Ctr Limnol, NIOO KNAW, NL-3631 AC Nieuwersluis, Netherlands.
Dept Biol, Lab Protistol & Aquat Ecol, B-9000 Ghent, Belgium.
Catholic Univ Louvain, Aquat Ecol Lab, B-3000 Louvain, Belgium.
Uppsala Univ, Dept Limnol, Evolut Biol Ctr, SE-75236 Uppsala, Sweden.
Natl Environm Res Inst, Dept Lake & Estuarine Ecol, DK-8600 Silkeborg, Denmark.
Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA.
Univ Calif Riverside, Dept Environm Sci, Riverside, CA 92521 USA.
RP Ctr Limnol, NIOO KNAW, Rijksstraatweg 6, NL-3631 AC Nieuwersluis, Netherlands.
EM g.zwart@nioo.knaw.nl
CR Allawi HT, 1997, BIOCHEMISTRY-US, V36, P10581, DOI 10.1021/bi962590c
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Bosshard PP, 2000, FEMS MICROBIOL ECOL, V31, P173, DOI 10.1016/S0168-6496(99)00098-7
BRESLAUER KJ, 1986, P NATL ACAD SCI USA, V83, P3746, DOI 10.1073/pnas.83.11.3746
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DATTAGUPTA N, 1989, ANAL BIOCHEM, V177, P85, DOI 10.1016/0003-2697(89)90018-3
DERIJK P, 1993, COMPUT APPL BIOSCI, V9, P735
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Genin S, 2002, MOL PLANT PATHOL, V3, P111, DOI 10.1046/j.1364-3703.2002.00102.x
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
Hugenholtz P, 1998, J BACTERIOL, V180, P4765, DOI 10.1128/JB.180.18.4765-4774.1998
KAUFHOLD A, 1994, FEMS MICROBIOL LETT, V119, P19
Kulakov LA, 2002, APPL ENVIRON MICROB, V68, P1548, DOI 10.1128/AEM.68.4.1548-1555.2002
Labarca JA, 1999, CLIN INFECT DIS, V29, P1281, DOI 10.1086/313458
Lindström ES, 2000, MICROBIAL ECOL, V40, P104
Lindström ES, 1998, FEMS MICROBIOL ECOL, V27, P163, DOI 10.1016/S0168-6496(98)00065-8
Lindström ES, 2002, MICROB ECOL, V44, P1, DOI 10.1007/s00248-002-0007-6
Lindström ES, 2001, MICROBIAL ECOL, V42, P598, DOI 10.1007/s00248-001-0031-y
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
SAIKI RK, 1989, P NATL ACAD SCI USA, V86, P6230, DOI 10.1073/pnas.86.16.6230
Semenova EA, 1998, MOL BIOL+, V32, P754
STAHL DA, 1985, APPL ENVIRON MICROB, V49, P1379, DOI 10.1128/AEM.49.6.1379-1384.1985
STAHL DA, 1984, SCIENCE, V224, P409, DOI 10.1126/science.224.4647.409
Sumithra KU, 2000, SEED SCI TECHNOL, V28, P291
Torsvik V, 2002, SCIENCE, V296, P1064, DOI 10.1126/science.1071698
Urbach E, 2001, LIMNOL OCEANOGR, V46, P557, DOI 10.4319/lo.2001.46.3.0557
VANDEPEER Y, 1994, COMPUT APPL BIOSCI, V10, P569
Walsh P S, 1992, PCR Methods Appl, V1, P241, DOI 10.1101/gr.1.4.241
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
WOESE CR, 1977, P NATL ACAD SCI USA, V74, P5088, DOI 10.1073/pnas.74.11.5088
Wuyts J, 2002, NUCLEIC ACIDS RES, V30, P183, DOI 10.1093/nar/30.1.183
Yoneyama A, 2000, J HOSP INFECT, V46, P79, DOI 10.1053/jhin.2000.0791
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 40
TC 88
Z9 120
PD OCT
PY 2003
VL 69
IS 10
BP 5875
EP 5883
DI 10.1128/AEM.69.10.5875-5883.2003
UT WOS:000185881300019
DA 2025-07-30
ER
PT J
AU Fortin, SG
Song, B
Anderson, IC
Reece, KS
AF Fortin, Samantha G.
Song, Bongkeun
Anderson, Iris C.
Reece, Kimberly S.
TI Blooms of the harmful algae Margalefidinium polykrikoides and
Alexandrium monilatum alter the York River Estuary microbiome
SO HARMFUL ALGAE
DT Article
AB Harmful algal blooms (HABs) cause damage to fisheries, aquaculture, and human health around the globe. However, the impact of HABs on water column microbiomes and biogeochemistry is poorly understood. This study examined the impacts of consecutive blooms of the ichthyotoxic dinoflagellates Margalefidinium polykrikoides and Alexandrium monilatum on the water microbiome in the York River Estuary, Chesapeake Bay, USA. The samples dominated by single dinoflagellate species and by a mix of the two dinoflagellates had different microbiome compositions than the ones with low levels of both species. The M. polykrikoides bloom was co dominated by Winogradskyella and had increased concentrations of dissolved organic carbon. The A. monilatum bloom had little impact on the prokaryotic portion of the whole community but was associated with a specific group of prokaryotes in the particle-attached (>3 mu m) fraction including Candidatus Nitrosopumilus, Candidatus Actinomarina, SAR11 Clade Ia, Candidatus Bealeia, and Rhodobacteraceae HIMB11. Thus, blooms of these two algal species impacted the estuarine microbiome in different ways, likely leading to shifts in estuarine carbon and nutrient cycling, with M. polykrikoides potentially having a greater impact on carbon cycling in the estuarine ecosystem than A. monilatum.
C1 [Fortin, Samantha G.; Song, Bongkeun; Anderson, Iris C.; Reece, Kimberly S.] Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA.
RP Fortin, SG; Song, B (corresponding author), Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA.
EM sgfortin@vims.edu; songb@vims.edu
CR Alejandre-Colomo C, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00052-w
Anderson DM, 2012, HARMFUL ALGAE, V14, P10, DOI 10.1016/j.hal.2011.10.012
Anderson IC, 2003, MAR ECOL PROG SER, V246, P73, DOI 10.3354/meps246073
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Balech E., 1995, The genus Alexandrium Halim (Dinoflagellata)
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Doucette Gregory J., 1995, Natural Toxins, V3, P65, DOI 10.1002/nt.2620030202
Espiña B, 2016, TOXICOL LETT, V250, P10, DOI 10.1016/j.toxlet.2016.04.001
Garcés E, 2007, AQUAT MICROB ECOL, V46, P55, DOI 10.3354/ame046055
Gobler CJ, 2012, HARMFUL ALGAE, V17, P64, DOI 10.1016/j.hal.2012.03.001
Gómez F, 2017, HARMFUL ALGAE, V63, P32, DOI 10.1016/j.hal.2017.01.008
Han Y, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01022-z
Harding JM, 2009, J SHELLFISH RES, V28, P363, DOI 10.2983/035.028.0219
Harris CM, 2020, HARMFUL ALGAE, V92, DOI 10.1016/j.hal.2019.101707
Hattenrath-Lehmann TK, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223067
Hattenrath-Lehmann TK, 2017, HARMFUL ALGAE, V68, P17, DOI 10.1016/j.hal.2017.07.003
Heisler J, 2008, HARMFUL ALGAE, V8, P3, DOI 10.1016/j.hal.2008.08.006
Hsia MH, 2006, HARMFUL ALGAE, V5, P290, DOI 10.1016/j.hal.2005.08.004
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Jeong Hae Jin, 2010, Ocean Science Journal, V45, P65, DOI 10.1007/s12601-010-0007-2
Killberg-Thoreson L, 2021, ESTUAR COAST, V44, P750, DOI 10.1007/s12237-020-00802-4
Koch F, 2014, HARMFUL ALGAE, V33, P41, DOI 10.1016/j.hal.2014.01.003
Kodama M, 2006, ECOL STU AN, V189, P243, DOI 10.1007/978-3-540-32210-8_19
Koroleff F., 1983, Methods of seawater analysis, P162
Kudela RM, 2012, HARMFUL ALGAE, V14, P71, DOI 10.1016/j.hal.2011.10.015
Lee CK, 2013, HARMFUL ALGAE, V30, pS3, DOI 10.1016/j.hal.2013.10.002
Liao N, 2001, QUIKCHEM METHOD
Marshall Harold G., 2009, Virginia Journal of Science, V60, P149
May SP, 2010, HARMFUL ALGAE, V9, P281, DOI 10.1016/j.hal.2009.11.005
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mulholland MR, 2009, ESTUAR COAST, V32, P734, DOI 10.1007/s12237-009-9169-5
Neubauer SC, 2003, LIMNOL OCEANOGR, V48, P299, DOI 10.4319/lo.2003.48.1.0299
Oksanen, 2022, VEGAN COMMUNITY ECOL
Paerl HW, 1998, MAR ECOL PROG SER, V166, P17, DOI 10.3354/meps166017
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
R Core Team, 2018, R LANG ENV STAT COMP
Reay WG, 2009, J COASTAL RES, P23
Sellner KG, 2003, J IND MICROBIOL BIOT, V30, P383, DOI 10.1007/s10295-003-0074-9
Sharp JH, 2004, MAR CHEM, V84, P181, DOI 10.1016/j.marchem.2003.07.003
Shin H, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23634-6
Smith P., 2001, QuikChem Methods, P31
Smith S., 2019, J. Open Source Softw, V4, P1442, DOI [DOI 10.21105/JOSS.01442, 10.21105/joss.01442]
Ssekagiri A., 2017, MICROBIOMESEQ R PACK, DOI DOI 10.13140/RG.2.2.17108.71047
Stoecker DK, 2017, ANNU REV MAR SCI, V9, P311, DOI 10.1146/annurev-marine-010816-060617
Tang YZ, 2009, MAR BIOL, V156, P2601, DOI 10.1007/s00227-009-1285-z
Vandersea MW, 2017, PHYCOLOGIA, V56, P303, DOI 10.2216/16-41.1
Wickham H., 2005, ggplot2: Create elegant data visualisations using the grammar of graphics
Wolny JL, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00337
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
NR 51
TC 15
Z9 18
PD MAY
PY 2022
VL 114
AR 102216
DI 10.1016/j.hal.2022.102216
EA MAR 2022
UT WOS:000784337500003
DA 2025-07-30
ER
PT J
AU Li, DX
Zhang, H
Chen, XH
Xie, ZX
Zhang, Y
Zhang, SF
Lin, L
Chen, F
Wang, DZ
AF Li, Dong-Xu
Zhang, Hao
Chen, Xiao-Huang
Xie, Zhang-Xian
Zhang, Yong
Zhang, Shu-Feng
Lin, Lin
Chen, Feng
Wang, Da-Zhi
TI Metaproteomics reveals major microbial players and their metabolic
activities during the blooming period of a marine dinoflagellate
Prorocentrum donghaiense
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Interactions between bacteria and phytoplankton during bloom events are essential for both partners, which impacts their physiology, alters ambient chemistry and shapes ecosystem diversity. Here, we investigated the community structure and metabolic activities of free-living bacterioplankton in different blooming phases of a dinoflagellate Prorocentrum donghaiense using a metaproteomic approach. The Fibrobacteres-Chlorobi-Bacteroidetes group, Rhodobacteraceae, SAR11 and SAR86 clades contributed largely to the bacterial community in the middle-blooming phase while the Pseudoalteromonadaceae exclusively dominated in the late-blooming phase. Transporters and membrane proteins, especially TonB-dependent receptors were highly abundant in both blooming phases. Proteins involved in carbon metabolism, energy metabolism and stress response were frequently detected in the middle-blooming phase while proteins participating in proteolysis andcentral carbon metabolism were abundant in the late-blooming phase. Beta-glucosidase with putative algicidal capability was identified from the Pseudoalteromonadaceae only in the late-blooming phase, suggesting an active role of this group in lysing P. donghaiense cells. Our results indicated that diverse substrate utilization strategies and different capabilities for environmental adaptation among bacteria shaped their distinct niches in different bloom phases, and certain bacterial species from the Pseudoalteromonadaceae might be crucial for the termination of a dinoflagellate bloom.
C1 [Li, Dong-Xu; Zhang, Hao; Chen, Xiao-Huang; Xie, Zhang-Xian; Zhang, Yong; Zhang, Shu-Feng; Lin, Lin; Wang, Da-Zhi] Xiamen Univ, State Key Lab Marine Environm Sci, Coll Environm & Ecol, Xiamen, Peoples R China.
[Chen, Feng] Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, Baltimore, MD 21201 USA.
RP Wang, DZ (corresponding author), Xiamen Univ, State Key Lab Marine Environm Sci, Coll Environm & Ecol, Xiamen, Peoples R China.
EM dzwang@xmu.edu.cn
CR Adachi M, 2002, AQUAT MICROB ECOL, V26, P223, DOI 10.3354/ame026223
Aharonovich D, 2016, ISME J, V10, P2892, DOI 10.1038/ismej.2016.70
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Amon RMW, 1996, LIMNOL OCEANOGR, V41, P41, DOI 10.4319/lo.1996.41.1.0041
Anderson DM, 2012, ANNU REV MAR SCI, V4, P143, DOI 10.1146/annurev-marine-120308-081121
BELL RT, 1984, APPL ENVIRON MICROB, V48, P1221, DOI 10.1128/AEM.48.6.1221-1230.1984
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buchanan SK, 2001, TRENDS BIOCHEM SCI, V26, P3, DOI 10.1016/S0968-0004(00)01733-3
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2007, OCEANOGRAPHY, V20, P89, DOI 10.5670/oceanog.2007.52
Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
Delepelaire P, 2004, BBA-MOL CELL RES, V1694, P149, DOI 10.1016/j.bbamcr.2004.05.001
Dethlefsen L, 2008, PLOS BIOL, V6, P2383, DOI 10.1371/journal.pbio.0060280
Dong HP, 2014, ENV MICROBIOL REP, V6, P683, DOI 10.1111/1758-2229.12188
Dong HP, 2009, LIMNOL OCEANOGR-METH, V7, P865, DOI 10.4319/lom.2009.7.865
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Egan S, 2001, FEMS MICROBIOL ECOL, V35, P67, DOI 10.1111/j.1574-6941.2001.tb00789.x
Evans FF, 2008, ENVIRON MICROBIOL, V10, P1101, DOI 10.1111/j.1462-2920.2007.01545.x
Ferrier M, 2002, J APPL MICROBIOL, V92, P706, DOI 10.1046/j.1365-2672.2002.01576.x
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Hewson I, 2009, ISME J, V3, P1286, DOI 10.1038/ismej.2009.75
[黄备 Huang Bei], 2014, [生态环境学报, Ecology and Environmental Sciences], V23, P1457
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Ivanova E P., 2014, The prokaryotes: Gammaproteobacteria, V4th, P575, DOI [10.1007/978-3-642-38922-1_229, DOI 10.1007/978-3-642-38922-1_229]
Johnson TL, 2006, FEMS MICROBIOL LETT, V255, P175, DOI 10.1111/j.1574-6968.2006.00102.x
Joint I, 2002, AQUAT MICROB ECOL, V29, P145, DOI 10.3354/ame029145
Jung H, 2002, FEBS LETT, V529, P73, DOI 10.1016/S0014-5793(02)03184-8
Keller MD, 1999, MAR BIOL, V135, P237, DOI 10.1007/s002270050621
Kim JD, 2009, MAR BIOTECHNOL, V11, P463, DOI 10.1007/s10126-008-9167-9
Kim Ji Hoe, 1999, Journal of the Korean Fisheries Society, V32, P155
KIRCHMAN DL, 1991, NATURE, V352, P612, DOI 10.1038/352612a0
Kodama M, 2006, ECOL STU AN, V189, P243, DOI 10.1007/978-3-540-32210-8_19
Kruger NJ, 2009, SPRINGER PROTOC HAND, P17, DOI 10.1007/978-1-59745-198-7_4
Larsen A, 2004, LIMNOL OCEANOGR, V49, P180, DOI 10.4319/lo.2004.49.1.0180
Lee SO, 2000, APPL ENVIRON MICROB, V66, P4334, DOI 10.1128/AEM.66.10.4334-4339.2000
Liu HC, 2013, CONT SHELF RES, V60, P104, DOI 10.1016/j.csr.2013.04.017
Liu JQ, 2008, HARMFUL ALGAE, V7, P1, DOI 10.1016/j.hal.2007.04.009
Liu YQ, 2007, CHINESE SCI BULL, V52, P2350, DOI 10.1007/s11434-007-0360-4
Lovejoy C, 1998, APPL ENVIRON MICROB, V64, P2806
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Masepohl B, 2001, FEMS MICROBIOL LETT, V205, P105, DOI 10.1016/S0378-1097(01)00447-5
Mayali X, 2004, J EUKARYOT MICROBIOL, V51, P139, DOI 10.1111/j.1550-7408.2004.tb00538.x
Mayali X, 2008, J PHYCOL, V44, P923, DOI 10.1111/j.1529-8817.2008.00549.x
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Mulligan C, 2009, P NATL ACAD SCI USA, V106, P1778, DOI 10.1073/pnas.0809979106
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Niu Y, 2011, WATER RES, V45, P4169, DOI 10.1016/j.watres.2011.05.022
Penn K, 2014, ISME J, V8, P1866, DOI 10.1038/ismej.2014.27
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Seong KA, 2013, ALGAE-SEOUL, V28, P297, DOI 10.4490/algae.2013.28.4.297
Smayda TJ, 2002, J OCEANOGR, V58, P281, DOI 10.1023/A:1015861725470
SMITH LT, 1988, J BACTERIOL, V170, P3142, DOI 10.1128/jb.170.7.3142-3149.1988
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Su JQ, 2011, BIOL CONTROL, V56, P132, DOI 10.1016/j.biocontrol.2010.10.004
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Tan SJ, 2015, J PHYCOL, V51, P120, DOI 10.1111/jpy.12259
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tikhonova EB, 2002, J BACTERIOL, V184, P6499, DOI 10.1128/JB.184.23.6499-6507.2002
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Vadstein O, 2000, ADV MICROB ECOL, V16, P115
Warren RAJ, 1996, ANNU REV MICROBIOL, V50, P183, DOI 10.1146/annurev.micro.50.1.183
Wichels A, 2004, HELGOLAND MAR RES, V58, P93, DOI 10.1007/s10152-004-0174-6
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Winnen B, 2003, RES MICROBIOL, V154, P457, DOI 10.1016/S0923-2508(03)00126-8
Yang CY, 2012, HARMFUL ALGAE, V20, P132, DOI 10.1016/j.hal.2012.09.002
Zhang H, 2015, ENVIRON MICROBIOL, V17, P3976, DOI 10.1111/1462-2920.12914
Zhang WP, 2016, MICROBIOME, V4, DOI 10.1186/s40168-016-0194-x
Zhang Y, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000095
Zhao WH, 2009, CHIN J OCEANOL LIMN, V27, P564, DOI 10.1007/s00343-009-9141-z
Zhou Mingjiang, 2010, P133
Zhou Mingjiang, 2003, Yingyong Shengtai Xuebao, V14, P1031
Zhou ZX, 2017, ECOL MODEL, V360, P150, DOI 10.1016/j.ecolmodel.2017.06.027
NR 82
TC 36
Z9 47
PD FEB
PY 2018
VL 20
IS 2
BP 632
EP 644
DI 10.1111/1462-2920.13986
UT WOS:000425019400016
DA 2025-07-30
ER
PT J
AU Deng, YQ
Cheng, CH
Feng, J
Liu, SL
Ma, HL
Chen, XL
Chen, HX
Guo, ZX
AF Deng, Yiqin
Cheng, Changhong
Feng, Juan
Liu, Songlin
Ma, Hongling
Chen, Xiaolong
Chen, HaoXiang
Guo, Zhixun
TI Rapid environmental change shapes pond water microbial community
structure and function, affecting mud crab (Scylla paramamosain)
survivability
SO APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
DT Article
AB The aquatic microbial community is sensitive to environmental change; however, the impacts of those changes combined with disease outbreaks affecting S. paramamosain are unknown. Thus, from March to October, we explored the interaction between aquacultural environmental conditions and microbial composition and function in open-air aquaculture ponds containing S. paramamosain in Southern China. The microbial community structure was significantly positively correlated with microbial community function. The environment variables such as temperature and salinity during May and June changed more quickly compared with other periods, resulting changes in the structure and function of the microbial community affected S. paramamosain survivability, with higher crab mortality observed from May to June compared with other periods. These included changes in the relative abundance of Microtrichales, Synechococcales, Rhodobacterales, Chitinophagales, and SAR11_clade, and corresponding functions associated with glycolysis and/or gluconeogenesis, porphyrin and chlorophyll metabolism, photosynthetic proteins, and transcription factors. These changes could impact S. paramamosain mortality and be used to evaluate the health status of the ponds. Though the environment variables during July~October changed slowly comparing to May and June, the ponds microflora changed which benefit S. paramamosain survivability with correspondingly low S. paramamosain mortality. Therefore, rapid environmental change alters the structure and function of the aquatic microflora, increasing S. paramamosain mortality.
C1 [Deng, Yiqin; Cheng, Changhong; Feng, Juan; Ma, Hongling; Chen, Xiaolong; Chen, HaoXiang; Guo, Zhixun] Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Minist Agr & Rural Affairs, Key Lab South China Sea Fishery Resources Exploit, Guangzhou 510300, Peoples R China.
[Deng, Yiqin; Feng, Juan] Chinese Acad Fisheries Sci, South China Sea Fisheries Res Inst, Guangdong Prov Key Lab Fishery Ecol & Environm, Guangzhou 510300, Peoples R China.
[Deng, Yiqin; Feng, Juan] Chinese Acad Fishery Sci, Trop Aquaculture Res & Dev Ctr, South China Sea Fisheries Res Inst, Sanya 572426, Hainan, Peoples R China.
[Liu, Songlin] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangzhou 510301, Peoples R China.
RP Guo, ZX (corresponding author), Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Minist Agr & Rural Affairs, Key Lab South China Sea Fishery Resources Exploit, Guangzhou 510300, Peoples R China.
EM guozhixun1@163.com
CR Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Auguet JC, 2010, ISME J, V4, P182, DOI 10.1038/ismej.2009.109
Azcón-Aguilar C, 2015, J SOIL SCI PLANT NUT, V15, P372
Beckmann A, 2017, MICROB CELL FACT, V16, DOI 10.1186/s12934-017-0756-z
Bentzon-Tilia M, 2016, MICROB BIOTECHNOL, V9, P576, DOI 10.1111/1751-7915.12392
Bremer E, 2019, ANNU REV MICROBIOL, V73, P313, DOI 10.1146/annurev-micro-020518-115504
Clarke KR., 2006, PRIMER VERSION 7 USE
Cole JR, 2014, NUCLEIC ACIDS RES, V42, pD633, DOI 10.1093/nar/gkt1244
Cornejo-Granados F, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11805-w
Crump EM, 2001, APPL ENVIRON MICROB, V67, P750, DOI 10.1128/AEM.67.2.750-759.2001
Dabadé DS, 2016, INT J FOOD MICROBIOL, V218, P96, DOI 10.1016/j.ijfoodmicro.2015.11.013
Douglas GM, 2018, METHODS MOL BIOL, V1849, P169, DOI 10.1007/978-1-4939-8728-3_11
Edgar RC, 2018, BIOINFORMATICS, V34, P2371, DOI 10.1093/bioinformatics/bty113
Engering A, 2013, EMERG MICROBES INFEC, V2, DOI 10.1038/emi.2013.5
Fan LM, 2016, WORLD J MICROB BIOT, V32, DOI 10.1007/s11274-015-1962-7
Fisheries, 2018, FISHERIES
Gao L, 2017, AQUAC RES, V48, P1787, DOI 10.1111/are.13016
Gao XL, 2017, HYDROBIOLOGIA, V795, P181, DOI 10.1007/s10750-017-3129-z
Garren M, 2016, ISME J, V10, P1363, DOI 10.1038/ismej.2015.216
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Hou DW, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02359
Huang F, 2018, APPL MICROBIOL BIOT, V102, P8585, DOI 10.1007/s00253-018-9229-5
Kanehisa M, 2012, NUCLEIC ACIDS RES, V40, pD109, DOI 10.1093/nar/gkr988
Kirchman DL, 2018, PROCESSES IN MICROBIAL ECOLOGY, 2ND EDITION, P1, DOI 10.1093/oso/9780198789406.001.0001
Lang AS, 2007, TRENDS MICROBIOL, V15, P54, DOI 10.1016/j.tim.2006.12.001
Ma Z, 2013, ECOL INDIC, V24, P287, DOI 10.1016/j.ecolind.2012.06.024
Meier HEM, 2019, CLIM DYNAM, V53, P1167, DOI 10.1007/s00382-018-4483-x
Meng FT, 2017, J SHELLFISH RES, V36, P445, DOI 10.2983/035.036.0216
Mia M.Y., 2011, University Journal of Zoology Rajshahi University, V29, P29
Mitchell A, 2009, NATURE, V460, P220, DOI 10.1038/nature08112
Nurdiani R, 2007, AQUAC RES, V38, P1529, DOI 10.1111/j.1365-2109.2007.01810.x
Or A, 2012, SCI REP-UK, V2, DOI 10.1038/srep00207
Scholin CA, 2000, NATURE, V403, P80, DOI 10.1038/47481
Shih PM, 2017, GEOBIOLOGY, V15, P19, DOI 10.1111/gbi.12200
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sung HH, 2001, AQUACULTURE, V192, P101, DOI 10.1016/S0044-8486(00)00458-0
THOMAS MLH, 1969, J FISH RES BOARD CAN, V26, P701, DOI 10.1139/f69-064
Timoshkin OA, 2016, J GREAT LAKES RES, V42, P487, DOI 10.1016/j.jglr.2016.02.011
Tomasetti SJ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208629
Walters CR, 2016, J TOXICOL ENV HEAL A, V79, P61, DOI 10.1080/15287394.2015.1106357
Wang W, 2011, J INVERTEBR PATHOL, V106, P18, DOI 10.1016/j.jip.2010.09.018
Wu HJ, 2014, FISH SHELLFISH IMMUN, V41, P156, DOI 10.1016/j.fsi.2014.08.027
Xiong JB, 2014, MICROB ECOL, V67, P256, DOI 10.1007/s00248-013-0336-7
Zhang DM, 2014, ECOL INDIC, V38, P218, DOI 10.1016/j.ecolind.2013.11.002
Zhang ML, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0148135
Zhang XS, 2019, FISH SHELLFISH IMMUN, V87, P166, DOI 10.1016/j.fsi.2019.01.011
Zhu F, 2018, FISH SHELLFISH IMMUN, V83, P104, DOI 10.1016/j.fsi.2018.09.028
Zhu JY, 2016, MICROB ECOL, V72, P975, DOI 10.1007/s00248-016-0831-8
NR 48
TC 15
Z9 17
PD MAR
PY 2020
VL 104
IS 5
BP 2229
EP 2241
DI 10.1007/s00253-019-10328-w
UT WOS:000529946400032
DA 2025-07-30
ER
PT J
AU Luo, HW
Huang, YJ
Stepanauskas, R
Tang, JJ
AF Luo, Haiwei
Huang, Yongjie
Stepanauskas, Ramunas
Tang, Jijun
TI Excess of non-conservative amino acid changes in marine bacterioplankton
lineages with reduced genomes
SO NATURE MICROBIOLOGY
DT Article
AB Surface ocean waters are dominated by planktonic bacterial lineages with highly reduced genomes. The best examples are the cyanobacterial genus Prochlorococcus, the alphaproteobacterial clade SAR11 and the gammaproteobacterial clade SAR86, which together represent over 50% of the cells in surface oceans. Several studies have identified signatures of selection on these lineages in today's ocean and have postulated selection as the primary force throughout their evolutionary history. However, massive loss of genomic DNA in these lineages often occurred in the distant past, and the selective pressures underlying these ancient events have not been assessed. Here, we probe ancient selective pressures by computing % GC-corrected rates of conservative and radical nonsynonymous nucleotide substitutions. Surprisingly, we found an excess of radical changes in several of these lineages in comparison to their relatives with larger genomes. Furthermore, analyses of allelic genome sequences of several populations within these lineages consistently supported that radical replacements are more likely to be deleterious than conservative changes. Our results suggest coincidence of massive genomic DNA losses and increased power of genetic drift, but we also suggest that additional evidence independent of the nucleotide substitution analyses is needed to support a primary role of genetic drift driving ancient genome reduction of marine bacterioplankton lineages.
C1 [Luo, Haiwei; Huang, Yongjie] Chinese Univ Hong Kong, Sch Life Sci, Simon FS Li Marine Sci Lab, Hong Kong, Hong Kong, Peoples R China.
[Luo, Haiwei] Chinese Univ Hong Kong, Ctr Soybean Res, Partner State Key Lab Agrobiotechnol, Hong Kong, Hong Kong, Peoples R China.
[Luo, Haiwei] Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Hong Kong, Hong Kong, Peoples R China.
[Luo, Haiwei; Huang, Yongjie] Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518000, Peoples R China.
[Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
[Tang, Jijun] Tianjin Univ, Minist Educ, Key Lab Syst Bioengn, Tianjin 300072, Peoples R China.
[Tang, Jijun] Univ South Carolina, Dept Comp Sci & Engn, Columbia, SC 29208 USA.
RP Luo, HW (corresponding author), Chinese Univ Hong Kong, Sch Life Sci, Simon FS Li Marine Sci Lab, Hong Kong, Hong Kong, Peoples R China.; Luo, HW (corresponding author), Chinese Univ Hong Kong, Ctr Soybean Res, Partner State Key Lab Agrobiotechnol, Hong Kong, Hong Kong, Peoples R China.; Luo, HW (corresponding author), Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Hong Kong, Hong Kong, Peoples R China.; Luo, HW (corresponding author), Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518000, Peoples R China.
EM hluo2006@gmail.com
CR Amrine KCH, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003454
[Anonymous], 1972, ATLAS PROTEIN SEQ ST
Batut B, 2014, NAT REV MICROBIOL, V12, P841, DOI 10.1038/nrmicro3331
Biller SJ, 2014, SCI DATA, V1, DOI 10.1038/sdata.2014.34
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
BUTTON DK, 1991, APPL ENVIRON MICROB, V57, P2033, DOI 10.1128/AEM.57.7.2033-2038.1991
Charlesworth B, 2009, NAT REV GENET, V10, P195, DOI 10.1038/nrg2526
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Eyre-Walker A, 2002, MOL BIOL EVOL, V19, P2142, DOI 10.1093/oxfordjournals.molbev.a004039
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Graham L. R., 1987, SCI PHILOS HUMAN BEH, DOI [10.7312/nei-92038-010, DOI 10.7312/NEI-92038-010]
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Hughes AL, 2003, P NATL ACAD SCI USA, V100, P15754, DOI 10.1073/pnas.2536718100
HUGHES AL, 1990, MOL BIOL EVOL, V7, P515
Hughes AL, 2009, GENE, V440, P50, DOI 10.1016/j.gene.2009.03.012
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karcagi I, 2016, MOL BIOL EVOL, V33, P1257, DOI 10.1093/molbev/msw009
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kurokawa M, 2016, DNA RES, V23, P517, DOI 10.1093/dnares/dsw035
Lee H, 2012, P NATL ACAD SCI USA, V109, pE2774, DOI 10.1073/pnas.1210309109
Long HG, 2015, MOL BIOL EVOL, V32, P2383, DOI 10.1093/molbev/msv119
Luo HW, 2015, ISME J, V9, P1423, DOI 10.1038/ismej.2014.227
Luo HW, 2014, ISME J, V8, P1428, DOI 10.1038/ismej.2013.248
Luo HW, 2014, ENV MICROBIOL REP, V6, P167, DOI 10.1111/1758-2229.12129
Luo HW, 2011, MOL BIOL EVOL, V28, P2751, DOI 10.1093/molbev/msr081
Marais GAB, 2008, GENETICA, V134, P205, DOI 10.1007/s10709-007-9226-6
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
O'Malley MA, 2016, TRENDS ECOL EVOL, V31, P608, DOI 10.1016/j.tree.2016.04.004
Osburne MS, 2011, ENV MICROBIOL REP, V3, P744, DOI 10.1111/j.1758-2229.2011.00293.x
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Paul S, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-103
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Sánchez-Baracaldo P, 2014, CURR BIOL, V24, P652, DOI 10.1016/j.cub.2014.01.041
Smith NGC, 2003, J MOL EVOL, V57, P467, DOI 10.1007/s00239-003-2500-z
Sniegowski PD, 1997, NATURE, V387, P703, DOI 10.1038/42701
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sung W, 2015, MOL BIOL EVOL, V32, P1672, DOI 10.1093/molbev/msv055
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Taddei F, 1997, NATURE, V387, P700, DOI 10.1038/42696
Tenaillon O, 1999, GENETICS, V152, P485
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Wernegreen JJ, 2015, ANN NY ACAD SCI, V1360, P16, DOI 10.1111/nyas.12740
Wernegreen JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028905
Yang ZH, 1997, COMPUT APPL BIOSCI, V13, P555
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhang JZ, 2000, J MOL EVOL, V50, P56, DOI 10.1007/s002399910007
ZUCKERKANDL EMILE, 1965, P97
NR 53
TC 31
Z9 34
PD AUG
PY 2017
VL 2
IS 8
AR 17091
DI 10.1038/nmicrobiol.2017.91
UT WOS:000410619800010
DA 2025-07-30
ER
PT J
AU Hagström, Å
Azam, F
Berg, C
Zweifel, UL
AF Hagstrom, Ake
Azam, Farooq
Berg, Carlo
Zweifel, Ulla Li
TI Isolates as models to study bacterial ecophysiology and biogeochemistry
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Here, we examine the use of bacterial isolates growing in artificial media or seawater as a means to investigate bacterial activity in the upper ocean. The discovery of a major role of bacteria in the ocean's carbon cycle owes greatly to the development of culture-independent assemblage-level approaches; however, this should not detract from the recognition of model isolates as representing the environmental microbiome. A long-established tool for culturing bacteria, in medicine and general microbiology, has been agar plates. In addition, a great variety of liquid substrates including seawater have been used to successfully identify and cultivate important bacteria such as Pelagibacter ubique. Yet, the discrepancy between microscopic counts and plate counts, the great plate count anomaly, has led to a biased perception of the limited relevance of isolated bacteria. Linking isolates to whole-genome sequencing, phylogenetic analysis and computational modeling will result in culturable model bacteria from different habitats. Our main message is that bacterial ecophysiology, particularly growth rates in seawater, and functionalities inferred through the identity, abundance and expression of specific genes could be mechanistically linked if more work is done to isolate, culture and study bacteria in pure cultures. When we rally behind a strategy aimed at culturing targeted phenotypes, we are not saying that culture independent studies of bacteria in the sea are not informative. We are suggesting that culturebased studies can help integrate the ecological and genomic views.
C1 [Hagstrom, Ake; Berg, Carlo] Linnaeus Univ, Dept Biol & Environm Sci, S-39182 Kalmar, Sweden.
[Azam, Farooq] Univ Calif San Diego, Scripps Inst Oceanog, Marine Biol Res Div, San Diego, CA 92093 USA.
[Zweifel, Ulla Li] Gothenburg Univ, Swedish Inst Marine Environm, Box 260, S-40530 Gothenburg, Sweden.
RP Hagström, Å (corresponding author), Linnaeus Univ, Dept Biol & Environm Sci, S-39182 Kalmar, Sweden.
EM ake.hagstrom@lnu.se
CR Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
AMMERMAN JW, 1984, MAR ECOL PROG SER, V18, P31, DOI 10.3354/meps018031
[Anonymous], EFFECT OCEAN ENV MIC
Blackburn N, 1998, SCIENCE, V282, P2254, DOI 10.1126/science.282.5397.2254
Blackburn N, 1996, AQUAT MICROB ECOL, V11, P79, DOI 10.3354/ame011079
Browne HP, 2016, NATURE, V533, P543, DOI 10.1038/nature17645
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
CARLUCCI AF, 1986, FEMS MICROBIOL ECOL, V38, P1
Caro-Quintero A, 2012, ENVIRON MICROBIOL, V14, P347, DOI 10.1111/j.1462-2920.2011.02668.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Davies DG, 1998, SCIENCE, V280, P295, DOI 10.1126/science.280.5361.295
DUCKLOW HW, 1986, SCIENCE, V232, P865, DOI 10.1126/science.232.4752.865
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Fraser C, 2009, SCIENCE, V323, P741, DOI 10.1126/science.1159388
FUHRMAN JA, 1988, MAR ECOL PROG SER, V45, P271, DOI 10.3354/meps045271
FUHRMAN JA, 1980, APPL ENVIRON MICROB, V39, P1085, DOI 10.1128/AEM.39.6.1085-1095.1980
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC
Garcia SL, 2016, AQUAT MICROB ECOL, V77, P79, DOI 10.3354/ame01789
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
GUTTMAN B.R.R., 2005, Bacteriophages: Biology and applications
HAGSTROM A, 1979, APPL ENVIRON MICROB, V37, P805
HAGSTROM A, 1984, MAR ECOL PROG SER, V18, P41, DOI 10.3354/meps018041
Haidinger W, 2003, APPL ENVIRON MICROB, V69, P6106, DOI 10.1128/AEM.69.10.6106-6113.2003
Heissenberger A, 1996, APPL ENVIRON MICROB, V62, P4521, DOI 10.1128/AEM.62.12.4521-4528.1996
ISHIDA Y, 1986, MAR ECOL PROG SER, V30, P197, DOI 10.3354/meps030197
JANNASCH HW, 1959, LIMNOL OCEANOGR, V4, P128, DOI 10.4319/lo.1959.4.2.0128
JANNASCH HW, 1968, J BACTERIOL, V95, P722, DOI 10.1128/JB.95.2.722-723.1968
JANNASCH HW, 1967, LIMNOL OCEANOGR, V12, P264, DOI 10.4319/lo.1967.12.2.0264
Jannasch HW, 1979, STRATEGIES MICROBIAL
Johansen JE, 2002, AQUAT MICROB ECOL, V28, P229, DOI 10.3354/ame028229
Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107
Kannan K, 2016, SCI REP-UK, V6, DOI 10.1038/srep30714
KIRCHMAN DL, 1986, MAR ECOL PROG SER, V32, P47, DOI 10.3354/meps032047
Kitahara K, 2012, P NATL ACAD SCI USA, V109, P19220, DOI 10.1073/pnas.1213609109
KUZNETSOV SI, 1979, ANNU REV MICROBIOL, V33, P377, DOI 10.1146/annurev.mi.33.100179.002113
Labrie SJ, 2010, NAT REV MICROBIOL, V8, P317, DOI 10.1038/nrmicro2315
Letchumanan V., 2016, FRONT MICROBIOL, V7
LI WKW, 1985, MAR ECOL PROG SER, V26, P245, DOI 10.3354/meps026245
Li YH, 2002, J BACTERIOL, V184, P2699, DOI 10.1128/JB.184.10.2699-2708.2002
Lindum PW, 1998, J BACTERIOL, V180, P6384
Luna GM, 2002, APPL ENVIRON MICROB, V68, P3509, DOI 10.1128/AEM.68.7.3509-3513.2002
MARTIN P, 1984, APPL ENVIRON MICROB, V47, P1017, DOI 10.1128/AEM.47.5.1017-1022.1984
Mayali X, 2004, J EUKARYOT MICROBIOL, V51, P139, DOI 10.1111/j.1550-7408.2004.tb00538.x
Medini D, 2005, CURR OPIN GENET DEV, V15, P589, DOI 10.1016/j.gde.2005.09.006
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Persson OP, 2009, ENVIRON MICROBIOL, V11, P1348, DOI 10.1111/j.1462-2920.2008.01861.x
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pinhassi J, 1997, APPL ENVIRON MICROB, V63, P3359, DOI 10.1128/AEM.63.9.3359-3366.1997
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
Rocha EPC, 2008, ANNU REV GENET, V42, P211, DOI 10.1146/annurev.genet.42.110807.091653
Salcher MM, 2016, AQUAT MICROB ECOL, V77, P183, DOI 10.3354/ame01796
Samo TJ, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00048
Schut F, 1997, AQUAT MICROB ECOL, V12, P177, DOI 10.3354/ame012177
Simu K, 2005, APPL ENVIRON MICROB, V71, P4793, DOI 10.1128/AEM.71.8.4793-4800.2005
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
Sjöstedt J, 2012, APPL ENVIRON MICROB, V78, P1361, DOI 10.1128/AEM.05542-11
Stocker R, 2008, P NATL ACAD SCI USA, V105, P4209, DOI 10.1073/pnas.0709765105
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Temperton B, 2012, CURR OPIN MICROBIOL, V15, P605, DOI 10.1016/j.mib.2012.07.001
Tettelin H, 2005, P NATL ACAD SCI USA, V102, P13950, DOI 10.1073/pnas.0506758102
Thingstad TF, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00320
THINGSTAD TF, 1995, MAR ECOL PROG SER, V117, P299, DOI 10.3354/meps117299
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
ZWEIFEL UL, 1993, MAR ECOL PROG SER, V101, P23, DOI 10.3354/meps101023
ZWEIFEL UL, 1995, APPL ENVIRON MICROB, V61, P2180, DOI 10.1128/AEM.61.6.2180-2185.1995
Zweifel UL, 1996, AQUAT MICROB ECOL, V11, P65, DOI 10.3354/ame011065
NR 75
TC 12
Z9 12
PY 2018
VL 80
IS 1
BP 15
EP 27
DI 10.3354/ame01838
UT WOS:000414556400002
DA 2025-07-30
ER
PT J
AU O'Brien, J
Mcparland, EL
Bramucci, AR
Siboni, N
Ostrowski, M
Kahlke, T
Levine, NM
Brown, MV
van de Kamp, J
Bodrossy, L
Messer, LF
Petrou, K
Seymour, JR
AF O'Brien, James
Mcparland, Erin L.
Bramucci, Anna R.
Siboni, Nachshon
Ostrowski, Martin
Kahlke, Tim
Levine, Naomi M.
Brown, Mark V.
van de Kamp, Jodie
Bodrossy, Levente
Messer, Lauren F.
Petrou, Katherina
Seymour, Justin R.
TI Biogeographical and seasonal dynamics of the marine Roseobacter
community and ecological links to DMSP-producing phytoplankton
SO ISME COMMUNICATIONS
DT Article
AB Ecological interactions between marine bacteria and phytoplankton play a pivotal role in governing the ocean's major biogeochemical cycles. Among these, members of the marine Roseobacter Group (MRG) can establish mutualistic relationships with phytoplankton that are, in part, maintained by exchanges of the organosulfur compound, dimethylsulfoniopropionate (DMSP). Yet most of what is known about these interactions has been derived from culture-based laboratory studies. To investigate temporal and spatial co-occurrence patterns between members of the MRG and DMSP-producing phytoplankton we analysed 16S and 18S rRNA gene amplicon sequence variants (ASVs) derived from 5 years of monthly samples from seven environmentally distinct Australian oceanographic time-series. The MRG and DMSP-producer communities often displayed contemporaneous seasonality, which was greater in subtropical and temperate environments compared to tropical environments. The relative abundance of both groups varied latitudinally, displaying a poleward increase, peaking (MRG at 33% of total bacteria, DMSP producers at 42% of eukaryotic phototrophs) during recurrent spring-summer phytoplankton blooms in the most temperate site (Maria Island, Tasmania). Network analysis identified 20,140 significant positive correlations between MRG ASVs and DMSP producers and revealed that MRGs exhibit significantly stronger correlations to high DMSP producers relative to other DMSP-degrading bacteria (Pelagibacter, SAR86 and Actinobacteria). By utilising the power of a continental network of oceanographic time-series, this study provides in situ confirmation of interactions found in laboratory studies and demonstrates that the ecological dynamics of an important group of marine bacteria are shaped by the production of an abundant and biogeochemically significant organosulfur compound.
C1 [O'Brien, James; Bramucci, Anna R.; Siboni, Nachshon; Ostrowski, Martin; Kahlke, Tim; Messer, Lauren F.; Seymour, Justin R.] Univ Technol Sydney, Climate Change Cluster, Broadway, NSW, Australia.
[O'Brien, James; Petrou, Katherina] Univ Technol Sydney, Sch Life Sci, Broadway, NSW, Australia.
[Mcparland, Erin L.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA USA.
[Levine, Naomi M.] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA USA.
[Brown, Mark V.] Univ Newcastle, Sch Environm & Life Sci, Callaghan, NSW, Australia.
[van de Kamp, Jodie; Bodrossy, Levente] CSIRO Oceans & Atmosphere, Hobart, Tas, Australia.
[Messer, Lauren F.] Queensland Univ Technol QUT, Ctr Microbiome Res, Sch Biomed Sci, Brisbane, Qld, Australia.
RP O'Brien, J; Seymour, JR (corresponding author), Univ Technol Sydney, Climate Change Cluster, Broadway, NSW, Australia.; O'Brien, J (corresponding author), Univ Technol Sydney, Sch Life Sci, Broadway, NSW, Australia.
EM james.obrien@student.uts.edu.au; justin.seymour@uts.edu.au
CR Ajani PA, 2016, OCEANOGR MAR BIOL, V54, P387
Alavi M, 2001, ENVIRON MICROBIOL, V3, P380, DOI 10.1046/j.1462-2920.2001.00207.x
Alonso-Gutiérrez J, 2009, FEMS MICROBIOL ECOL, V70, P493, DOI 10.1111/j.1574-6941.2009.00766.x
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Andrews S., 2010, FASTQC QUALITY CONTR
Ankrah NYD, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01125-14
Appleyard S A., 2013, Tackling microbial related issues in cultured shellfish via integrated molecular and water chemistry approaches: CSIRO Marine and Atmospheric Research
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Billerbeck S, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.63, 10.1038/NMICROBIOL.2016.63]
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brinkmeyer R, 2000, EUR J PHYCOL, V35, P315, DOI 10.1017/S096702620000295X
Brown MV, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.130
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Carr A, 2019, ISME J, V13, P2647, DOI 10.1038/s41396-019-0459-z
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
Duarte C.M., 2015, LIMNOLOGY OCEANOGRAP, V24, P11, DOI DOI 10.1002/LOB.10008
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
FELSENSTEIN J, 1981, EVOLUTION, V35, P1229, DOI 10.1111/j.1558-5646.1981.tb04991.x
Galí M, 2015, GLOBAL BIOGEOCHEM CY, V29, P496, DOI 10.1002/2014GB004940
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gordon A., 2010, FASTX TOOLKIT
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
HARRIS G, 1987, AUST J MAR FRESH RES, V38, P569
Hong Z, 2015, INT J SYST EVOL MICR, V65, P95, DOI 10.1099/ijs.0.064972-0
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
KELLER M D, 1988, Biological Oceanography, V6, P375
Kiene RP, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P337
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Kwak MJ, 2014, INT J SYST EVOL MICR, V64, P3760, DOI 10.1099/ijs.0.065961-0
Landa M, 2019, ISME J, V13, P2536, DOI 10.1038/s41396-019-0455-3
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
LEDYARD KM, 1993, ARCH MICROBIOL, V160, P312, DOI 10.1007/BF00292083
Levine NM, 2016, ENVIRON CHEM, V13, P302, DOI 10.1071/EN15045
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Lynch T, 2008, OCEANS 2008, DOI [10.1109/OCEANS.2008.5151856, DOI 10.1109/OCEANS.2008.5151856]
Lynch TP, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113652
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Matear RJ, 2013, J GEOPHYS RES-OCEANS, V118, P2961, DOI 10.1002/jgrc.20202
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
McParland EL, 2021, ENVIRON MICROBIOL, V23, P1656, DOI 10.1111/1462-2920.15393
McParland EL, 2019, LIMNOL OCEANOGR, V64, P757, DOI 10.1002/lno.11076
Miller TR, 2004, APPL ENVIRON MICROB, V70, P4692, DOI 10.1128/AEM.70.8.4692-4701.2004
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Nawrocki EP, 2013, BIOINFORMATICS, V29, P2933, DOI 10.1093/bioinformatics/btt509
Ostrowski M, 2020, State and Trends of Australia's Ocean Report, DOI [10.26198/5-16aa3e49e7f, DOI 10.26198/5-16AA3E49E7F]
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Piredda R, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw200
Raina JB, 2009, APPL ENVIRON MICROB, V75, P3492, DOI 10.1128/AEM.02567-08
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Reshef DN, 2018, ANN APPL STAT, V12, P123, DOI 10.1214/17-AOAS1093
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Seymour JR, 2010, SCIENCE, V329, P342, DOI 10.1126/science.1188418
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Simon M, 2017, ISME J, V11, P1483, DOI 10.1038/ismej.2016.198
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stoeck T, 2010, MOL ECOL, V19, P21, DOI 10.1111/j.1365-294X.2009.04480.x
Stoica E, 2007, AQUAT SCI, V69, P413, DOI 10.1007/s00027-007-0885-2
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
TAMURA K, 1993, MOL BIOL EVOL, V10, P512, DOI 10.1093/oxfordjournals.molbev.a040023
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Todd JD, 2012, ISME J, V6, P223, DOI 10.1038/ismej.2011.79
Todd JD, 2011, ENVIRON MICROBIOL, V13, P427, DOI 10.1111/j.1462-2920.2010.02348.x
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Topel Mats, 2019, J Genomics, V7, P7, DOI 10.7150/jgen.30559
Varaljay VA, 2015, ISME J, V9, P1677, DOI 10.1038/ismej.2015.23
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Yang Q, 2021, ANTON LEEUW INT J G, V114, P1091, DOI 10.1007/s10482-021-01580-0
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Zhang FX, 2020, ENVIRON POLLUT, V263, DOI 10.1016/j.envpol.2020.114475
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 95
TC 12
Z9 12
PD FEB 14
PY 2022
VL 2
IS 1
AR 16
DI 10.1038/s43705-022-00099-3
UT WOS:001105612400001
DA 2025-07-30
ER
PT J
AU Farnelid, H
Turk-Kubo, K
Zehr, JP
AF Farnelid, Hanna
Turk-Kubo, Kendra
Zehr, Jonathan P.
TI Cell sorting reveals few novel prokaryote and photosynthetic
picoeukaryote associations in the oligotrophic ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Close associations between single-celled marine organisms can have a central role in biogeochemical processes and are of great interest for understanding the evolution of organisms. The global significance of such associations raises the question of whether unidentified associations are yet to be discovered. In this study, fluorescence-activated cell sorted photosynthetic picoeukayote (PPE) populations and single cells were analysed by sequencing of 16S rRNA genes in the oligotrophic North Pacific Subtropical Gyre. Samples were collected during two cruises, spanning depths near the deep chlorophyll maximum, where the abundance of PPEs was highest. The association between the widespread and significant nitrogen (N-2)-fixing cyanobacterium, UCYN-A and its prymnesiophyte host was prevalent in both population and single-cell sorts. Several bacterial sequences, affiliating with previously described symbiotic taxa were detected but their detection was rare and not well replicated, precluding identification of novel tightly linked species-specific associations. Similarly, no enrichment of dominant seawater taxa such as Prochlorococcus, SAR11 or Synechococcus was observed suggesting that these were not systematically ingested by the PPE in this study. The results indicate that apart from the UCYN-A symbiosis, similar tight species-specific associations with PPEs are unusual in the oligotrophic ocean.
C1 [Farnelid, Hanna; Turk-Kubo, Kendra; Zehr, Jonathan P.] Univ Calif Santa Cruz, Ocean Sci Dept, Santa Cruz, CA 95064 USA.
[Farnelid, Hanna] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, Kalmar, Sweden.
RP Farnelid, H (corresponding author), Univ Calif Santa Cruz, Ocean Sci Dept, Santa Cruz, CA 95064 USA.; Farnelid, H (corresponding author), Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, Kalmar, Sweden.
EM hanna.farnelid@lnu.se
CR Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Arandia-Gorostidi N, 2017, ISME J, V11, P641, DOI 10.1038/ismej.2016.156
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bombar D, 2014, ISME J, V8, P2530, DOI 10.1038/ismej.2014.167
Bombar D, 2013, ENV MICROBIOL REP, V5, P705, DOI 10.1111/1758-2229.12070
Brown JM, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.524828
Buitenhuis ET, 2012, EARTH SYST SCI DATA, V4, P37, DOI 10.5194/essd-4-37-2012
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cooper MB, 2015, CURR OPIN PLANT BIOL, V26, P147, DOI 10.1016/j.pbi.2015.07.003
Cuvelier ML, 2010, P NATL ACAD SCI USA, V107, P14679, DOI 10.1073/pnas.1001665107
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Elshahed MS, 2003, APPL ENVIRON MICROB, V69, P5609, DOI 10.1128/AEM.69.9.5609-5621.2003
Farnelid H, 2019, ISME J, V13, P170, DOI 10.1038/s41396-018-0259-x
Farnelid H, 2016, AQUAT MICROB ECOL, V77, P125, DOI 10.3354/ame01794
Farnelid HM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00339
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Foster RA, 2019, ANNU REV MICROBIOL, V73, P435, DOI 10.1146/annurev-micro-090817-062650
Frias-Lopez J, 2009, ENVIRON MICROBIOL, V11, P512, DOI 10.1111/j.1462-2920.2008.01793.x
Green SJ, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0128122
Hagino K, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0081749
Hartmann M, 2013, ENV MICROBIOL REP, V5, P835, DOI 10.1111/1758-2229.12084
Hartmann M, 2012, P NATL ACAD SCI USA, V109, P5756, DOI 10.1073/pnas.1118179109
Jardillier L, 2010, ISME J, V4, P1180, DOI 10.1038/ismej.2010.36
Kamennaya NA, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2003502
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
Krupke A, 2013, SYST APPL MICROBIOL, V36, P259, DOI 10.1016/j.syapm.2013.02.002
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Malfatti F, 2009, AQUAT MICROB ECOL, V58, P1, DOI 10.3354/ame01355
Mangot JF, 2017, SCI REP-UK, V7, DOI 10.1038/srep41498
Martinez-Garcia M, 2012, ISME J, V6, P703, DOI 10.1038/ismej.2011.126
Martínez-Pérez C, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.163, 10.1038/nmicrobiol.2016.163]
Massana R, 2011, ANNU REV MICROBIOL, V65, P91, DOI 10.1146/annurev-micro-090110-102903
McKie-Krisberg ZM, 2014, ISME J, V8, P1953, DOI 10.1038/ismej.2014.16
Moisander PH, 2010, SCIENCE, V327, P1512, DOI 10.1126/science.1185468
Moonsamy PV, 2013, TISSUE ANTIGENS, V81, P141, DOI 10.1111/tan.12071
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Riemann L, 2010, AQUAT MICROB ECOL, V61, P225, DOI 10.3354/ame01431
Rinke C, 2014, NAT PROTOC, V9, P1038, DOI 10.1038/nprot.2014.067
Sanders RW, 2012, FEMS MICROBIOL ECOL, V82, P242, DOI 10.1111/j.1574-6941.2011.01253.x
Schulz F, 2015, SCI REP-UK, V5, DOI 10.1038/srep13381
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Thompson AW, 2013, J PHYCOL, V49, P1024, DOI 10.1111/jpy.12117
Thompson AW, 2012, SCIENCE, V337, P1546, DOI 10.1126/science.1222700
Tripp HJ, 2010, NATURE, V464, P90, DOI 10.1038/nature08786
Tsao HF, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-03642-8
Turk-Kubo KA, 2017, J PHYCOL, V53, P451, DOI 10.1111/jpy.12505
Vaulot D, 2008, FEMS MICROBIOL REV, V32, P795, DOI 10.1111/j.1574-6976.2008.00121.x
Wilson ST, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.118
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Worden AZ, 2012, CURR BIOL, V22, pR675, DOI 10.1016/j.cub.2012.07.054
Worden AZ, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-117
Worden AZ, 2004, LIMNOL OCEANOGR, V49, P168, DOI 10.4319/lo.2004.49.1.0168
Zehr JP, 2008, SCIENCE, V322, P1110, DOI 10.1126/science.1165340
Zehr JP, 2017, SCIENCE, V357, P646, DOI 10.1126/science.aan5764
Zehr JP, 2015, SCIENCE, V349, P1163, DOI 10.1126/science.aac9752
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zubkov MV, 2008, NATURE, V455, P224, DOI 10.1038/nature07236
NR 60
TC 6
Z9 6
PD MAR
PY 2021
VL 23
IS 3
BP 1469
EP 1480
DI 10.1111/1462-2920.15351
EA DEC 2020
UT WOS:000600024200001
DA 2025-07-30
ER
PT J
AU Molina, V
Fernández, C
AF Molina, Veronica
Fernandez, Camila
TI Bacterioplankton response to nitrogen and dissolved organic matter
produced from salmon mucus
SO MICROBIOLOGYOPEN
DT Article
AB Aquaculture releases organic matter to the water column through excretion, fecal pellets, and uneaten food, but also by the continuous release of fish epithelium mucus. The effect of the latter on natural bacterial assemblages was determined using ammonium amended experiments at Puyuhuapi fjord in Chilean Patagonia. Mucus was added to seawater coming from 2 and 100 m depth and ammonium, nitrite and nitrate, dissolved organic carbon (DOC), picoplankton abundance, and active composition (i-tag 16S rRNA) were followed for 24 h. The results showed a significant response from the microbial community but only at surface depth after 2 and 6 h of incubation. A reduction of DOC and ammonium concentration and accumulation of nitrite and nitrate over time was observed, mainly at 100 m. Changes in the composition of active bacteria between treatments were observed at different taxonomic levels, associated with Alphaproteobacteria (Clade SAR11), Bacteroidetes (Polaribacter) and Gammaproteobacteria (Colwellia, Oceaniserpentilla) and other bacteria such as Nitrospina sp, a nitrite-oxidizing bacteria at some hours during the incubation. Fish pathogens, such as Vibrio and Piscirickettsia were rare (<0.02%). Overall, our study suggests that fish mucus can cause rapid modifications in microbial assemblages and stimulate organic matter and nutrient cycling, including heterotrophic and autotrophic (nitrification) in areas influenced by aquaculture.
C1 [Molina, Veronica] Univ Playa Ancha, Fac Ciencias Nat Exactas, Dept Biol, Programa Biodiversidad & Observ Eco Microbiana, Valparaiso, Chile.
[Molina, Veronica] Univ Playa Ancha, HUB Ambiental UPLA, Valparaiso, Chile.
[Fernandez, Camila] Univ Concepcion, Ctr Interdisciplinario Acuicultura Sustentable IN, Concepcion, Chile.
[Fernandez, Camila] Univ Concepcion, Ctr Invest, Oceanog COPAS Sur Austral, Concepcion, Chile.
[Fernandez, Camila] Sorbonne Univ, CNRS, Lab Oceanog Microbienne LOMIC, Observ Oceanol, Banyuls Sur Mer, France.
[Fernandez, Camila] Ctr Fondap Invest Dinam Ecosistemas Marino Altas, Valdivia, Chile.
RP Fernández, C (corresponding author), Univ Concepcion, Ctr Interdisciplinario Acuicultura Sustentable IN, Concepcion, Chile.
EM fernandez@obs-banyuls.fr
CR Aminot A., 2007, DOSAGE AUTOMATIQUE N
Anderson AJ, 2008, For PRIMER: Guide to Software and Statistical Methods Plymouth
Badhai J, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00936
BENNER R, 1993, MAR CHEM, V41, P153, DOI 10.1016/0304-4203(93)90113-3
BERNADSKY G, 1992, MICROB ECOL, V24, P63, DOI 10.1007/BF00171971
Buschmann AH, 2006, ICES J MAR SCI, V63, P1338, DOI 10.1016/j.icesjms.2006.04.021
Duchaud E, 2007, NAT BIOTECHNOL, V25, P763, DOI 10.1038/nbt1313
Elizondo-Patrone C, 2015, ESTUAR COAST SHELF S, V166, P131, DOI 10.1016/j.ecss.2015.03.021
Falkowski PG, 1997, NATURE, V387, P272, DOI 10.1038/387272a0
Fernandez C, 2020, AQUAC RES, V51, DOI 10.1111/are.14428
Fletcher T. C., PICKERING
González HE, 2011, CONT SHELF RES, V31, P225, DOI 10.1016/j.csr.2010.08.010
Hao WJ, 2019, J OCEANOL LIMNOL, V37, P1229, DOI 10.1007/s00343-019-8106-0
Holmer M, 1996, BIOGEOCHEMISTRY, V32, P15, DOI 10.1007/BF00001530
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Iger Y, 1997, TISSUE CELL, V29, P431, DOI 10.1016/S0040-8166(97)80029-8
Karlsen C, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-27818-y
Kelly C, 2017, FRONT IMMUNOL, V8, DOI 10.3389/fimmu.2017.00559
Kumari S, 2019, INT AQUAT RES, V11, P225, DOI 10.1007/s40071-019-0231-z
La Rosa T, 2002, WATER RES, V36, P713, DOI 10.1016/S0043-1354(01)00274-3
Liu J, 2014, BIOGEOSCIENCES, V11, P5115, DOI 10.5194/bg-11-5115-2014
Minniti G, 2019, GENES-BASEL, V10, DOI 10.3390/genes10070515
Minniti G, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02043
Navarro N, 2008, MAR ECOL PROG SER, V361, P47, DOI 10.3354/meps07357
Olsen L., 2008, PERSPECTIVES NUTR EM, P68
OURTH DD, 1980, DEV COMP IMMUNOL, V4, P65, DOI 10.1016/S0145-305X(80)80009-7
Pérez-Santos I, 2017, LAT AM J AQUAT RES, V45, P223, DOI 10.3856/vol45-issue1-fulltext-25
Pinhassi J, 1999, AQUAT MICROB ECOL, V17, P13, DOI 10.3354/ame017013
Pitta P, 2006, HYDROBIOLOGIA, V563, P99, DOI 10.1007/s10750-005-1593-3
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Reverter M, 2018, FISHES-BASEL, V3, DOI 10.3390/fishes3040041
Rubio-Portillo E, 2019, AQUACULTURE, V506, P459, DOI 10.1016/j.aquaculture.2019.03.051
Sakami T, 2003, ESTUAR COAST SHELF S, V56, P111, DOI 10.1016/S0272-7714(02)00126-9
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Smith JM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0108173
Techtmann SM, 2016, FRONT ENV SCI-SWITZ, V4, DOI 10.3389/fenvs.2016.00033
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Valdés V, 2018, BIOGEOSCIENCES, V15, P6019, DOI 10.5194/bg-15-6019-2018
Valdés VP, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00343
Zuo YF, 2019, EMERG MICROBES INFEC, V8, P1604, DOI 10.1080/22221751.2019.1687261
NR 40
TC 11
Z9 12
PD DEC
PY 2020
VL 9
IS 12
AR e1132
DI 10.1002/mbo3.1132
EA NOV 2020
UT WOS:000591778900001
DA 2025-07-30
ER
PT J
AU Clifford, EL
Varela, MM
De Corte, D
Bode, A
Ortiz, V
Herndl, GJ
Sintes, E
AF Clifford, Elisabeth L.
Varela, Marta M.
De Corte, Daniele
Bode, Antonio
Ortiz, Victor
Herndl, Gerhard J.
Sintes, Eva
TI Taurine Is a Major Carbon and Energy Source for Marine Prokaryotes in
the North Atlantic Ocean off the Iberian Peninsula
SO MICROBIAL ECOLOGY
DT Article
AB Taurine, an amino acid-like compound, acts as an osmostress protectant in many marine metazoans and algae and is released via various processes into the oceanic dissolved organic matter pool. Taurine transporters are widespread among members of the marine prokaryotic community, tentatively indicating that taurine might be an important substrate for prokaryotes in the ocean. In this study, we determined prokaryotic taurine assimilation and respiration throughout the water column along two transects in the North Atlantic off the Iberian Peninsula. Taurine assimilation efficiency decreased from the epipelagic waters from 55 +/- 14% to 27 +/- 20% in the bathypelagic layers (means of both transects). Members of the ubiquitous alphaproteobacterial SAR11 clade accounted for a large fraction of cells taking up taurine, especially in surface waters. Archaea (Thaumarchaeota + Euryarchaeota) were also able to take up taurine in the upper water column, but to a lower extent than Bacteria. The contribution of taurine assimilation to the heterotrophic prokaryotic carbon biomass production ranged from 21% in the epipelagic layer to 16% in the bathypelagic layer. Hence, we conclude that dissolved free taurine is a significant carbon and energy source for prokaryotes throughout the oceanic water column being utilized with similar efficiencies as dissolved free amino acids.
C1 [Clifford, Elisabeth L.; Ortiz, Victor; Herndl, Gerhard J.; Sintes, Eva] Univ Vienna, Ctr Funct Ecol, Dept Limnol & Biooceanog, Althanstr 14, A-1090 Vienna, Austria.
[Varela, Marta M.; Bode, Antonio] Ctr Oceanog A Coruna, IEO, Apdo 130, La Coruna 15080, Spain.
[De Corte, Daniele] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Res & Dev Ctr Marine Biosci, Natushima 2-15, Yokosuka, Kanagawa 2370061, Japan.
[Herndl, Gerhard J.] Univ Utrecht, Dept Marine Microbiol & Biogeochem, Royal Netherlands Inst Sea Res NIOZ, POB 59, NL-1790 AB Den Burg, Netherlands.
[Sintes, Eva] Ctr Oceanog Baleares, IEO, Moll de Ponent S-N, Palma De Mallorca 07015, Spain.
RP Sintes, E (corresponding author), Univ Vienna, Ctr Funct Ecol, Dept Limnol & Biooceanog, Althanstr 14, A-1090 Vienna, Austria.; Sintes, E (corresponding author), Ctr Oceanog Baleares, IEO, Moll de Ponent S-N, Palma De Mallorca 07015, Spain.
EM eva.sintes@univie.ac.at
CR Alonso-Sáez L, 2007, LIMNOL OCEANOGR, V52, P533, DOI 10.4319/lo.2007.52.2.0533
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Azam F, 2007, NAT REV MICROBIOL, V5, P966, DOI 10.1038/nrmicro1787
Baltar F, 2010, AQUAT MICROB ECOL, V60, P227, DOI 10.3354/ame01422
Bar-On YM, 2018, P NATL ACAD SCI USA, V115, P6506, DOI 10.1073/pnas.1711842115
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
BIEDLINGMAIER S, 1987, Z NATURFORSCH C, V42, P891
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Burg MB, 2008, J BIOL CHEM, V283, P7309, DOI 10.1074/jbc.R700042200
Calvo-Díaz A, 2009, APPL ENVIRON MICROB, V75, P3216, DOI 10.1128/AEM.01570-08
Carlson CA, 2000, DEEP-SEA RES PT II, V47, P3201, DOI 10.1016/S0967-0645(00)00065-5
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
CARLUCCI AF, 1984, APPL ENVIRON MICROB, V48, P165, DOI 10.1128/AEM.48.1.165-170.1984
Clifford EL, 2017, LIMNOL OCEANOGR, V62, P2745, DOI 10.1002/lno.10603
Colatriano D, 2015, PROTEOMICS, V15, P3566, DOI 10.1002/pmic.201500079
Cook AM, 2006, ADV EXP MED BIOL, V583, P3
Cook AM., 2002, ARCH MICROBIOL, V179, P1, DOI [10.1007/s00203-002-0497-0, DOI 10.1007/s00203-002-0497-0, DOI 10.1007/S00203-002-0497-0]
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
De Corte D, 2018, ENVIRON MICROBIOL, V20, P492, DOI 10.1111/1462-2920.13944
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
De Corte D, 2009, ISME J, V3, P147, DOI 10.1038/ismej.2008.94
Dickson AG., 2007, Guide to Best Practices for Ocean CO2 Measurements, DOI 10.25607/OBP-1342
Eichhorn E, 1997, J BIOL CHEM, V272, P23031, DOI 10.1074/jbc.272.37.23031
Fagerbakke KM, 1996, AQUAT MICROB ECOL, V10, P15, DOI 10.3354/ame010015
FUHRMAN JA, 1986, MAR ECOL PROG SER, V33, P237, DOI 10.3354/meps033237
Guerrero-Feijóo E, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw224
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Hill PG, 2013, LIMNOL OCEANOGR, V58, P1597, DOI 10.4319/lo.2013.58.5.1597
HOBBIE JE, 1969, LIMNOL OCEANOGR, V14, P528, DOI 10.4319/lo.1969.14.4.0528
KEIL RG, 1991, MAR ECOL PROG SER, V73, P1, DOI 10.3354/meps073001
Kertesz MA, 2000, FEMS MICROBIOL REV, V24, P135, DOI 10.1016/S0168-6445(99)00033-9
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Krejcík Z, 2008, ARCH MICROBIOL, V190, P159, DOI 10.1007/s00203-008-0386-2
KROER N, 1994, APPL ENVIRON MICROB, V60, P4116, DOI 10.1128/AEM.60.11.4116-4123.1994
Ksionzek KB, 2016, SCIENCE, V354, P456, DOI 10.1126/science.aaf7796
Kuznetsova M, 2004, LIMNOL OCEANOGR, V49, P1605, DOI 10.4319/lo.2004.49.5.1605
LEE C, 1977, LIMNOL OCEANOGR, V22, P502, DOI 10.4319/lo.1977.22.3.0502
Lee RW, 1997, J EXP BIOL, V200, P2797
Lenk S, 2012, ISME J, V6, P2178, DOI 10.1038/ismej.2012.66
LENZ J, 1993, DEEP-SEA RES PT II, V40, P559, DOI 10.1016/0967-0645(93)90032-I
León-Zayas R, 2015, APPL ENVIRON MICROB, V81, P8265, DOI 10.1128/AEM.01659-15
Lie TJ, 1999, APPL ENVIRON MICROB, V65, P3328
Lu XX, 2014, MAR CHEM, V163, P36, DOI 10.1016/j.marchem.2014.04.004
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Middelboe M, 1995, MAR ECOL PROG SER, V128, P109, DOI 10.3354/meps128109
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MYKLESTAD S, 1989, J PLANKTON RES, V11, P763, DOI 10.1093/plankt/11.4.763
Nagata T, 2000, LIMNOL OCEANOGR, V45, P426, DOI 10.4319/lo.2000.45.2.0426
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
POULET SA, 1991, MAR BIOL, V108, P373, DOI 10.1007/BF01313646
POULET SA, 1986, OCEANOL ACTA, V9, P191
Pruski AM, 2000, MAR BIOL, V136, P411, DOI 10.1007/s002270050700
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
SIMON M, 1991, MAR ECOL PROG SER, V74, P295, DOI 10.3354/meps074295
Simon M, 2017, ISME J, V11, P1483, DOI 10.1038/ismej.2016.198
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Sipler RE, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P127, DOI 10.1016/B978-0-12-405940-5.00004-2
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Teira E, 2015, APPL ENVIRON MICROB, V81, P8224, DOI 10.1128/AEM.02454-15
Tevatia R, 2015, ALGAL RES, V9, P21, DOI 10.1016/j.algal.2015.02.012
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
VAIRAVAMURTHY A, 1994, GEOCHIM COSMOCHIM AC, V58, P4681, DOI 10.1016/0016-7037(94)90200-3
van Aken H.M., 2007, OCEANIC THERMOHALINE
Vereshchaka A, 2017, DEEP-SEA RES PT II, V137, P89, DOI 10.1016/j.dsr2.2016.06.017
Visscher PT, 1999, APPL ENVIRON MICROB, V65, P3272
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Wang DZ, 2016, INT J MOL SCI, V17, DOI 10.3390/ijms17081275
WEBB KL, 1967, LIMNOL OCEANOGR, V12, P376, DOI 10.4319/lo.1967.12.3.0376
WILLIAMS R, 1986, MAR BIOL, V90, P279, DOI 10.1007/BF00569139
Williams TJ, 2014, TRENDS MICROBIOL, V22, P248, DOI 10.1016/j.tim.2014.03.004
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Yancey PH, 2005, J EXP BIOL, V208, P2819, DOI 10.1242/jeb.01730
NR 82
TC 44
Z9 47
PD AUG
PY 2019
VL 78
IS 2
BP 299
EP 312
DI 10.1007/s00248-019-01320-y
UT WOS:000475700200003
DA 2025-07-30
ER
PT J
AU dos Reis, MC
Romac, S
Le Gall, F
Marie, D
Frada, MJ
Koplovitz, G
Cariou, T
Henry, N
de Vargas, C
Jeanthon, C
AF dos Reis, Mariana Camara
Romac, Sarah
Le Gall, Florence
Marie, Dominique
Frada, Miguel J.
Koplovitz, Gil
Cariou, Thierry
Henry, Nicolas
de Vargas, Colomban
Jeanthon, Christian
TI Exploring the phycosphere of Emiliania huxleyi: From bloom
dynamics to microbiome assembly experiments
SO MOLECULAR ECOLOGY
DT Article
AB Coccolithophores have global ecological and biogeochemical significance as the most important calcifying marine phytoplankton group. The structure and selection of prokaryotic communities associated with the most abundant coccolithophore and bloom-forming species, Emiliania huxleyi, are still poorly known. In this study, we assessed the diversity of bacterial communities associated with an E. huxleyi bloom in the Celtic Sea (Eastern North Atlantic), exposed axenic E. huxleyi cultures to prokaryotic communities derived from bloom and non-bloom conditions, and followed the dynamics of their microbiome composition over one year. Bloom-associated prokaryotic communities were dominated by SAR11, Marine group II Euryarchaeota and Rhodobacterales and contained substantial proportions of known indicators of phytoplankton bloom demises such as Flavobacteriaceae and Pseudoalteromonadaceae. The taxonomic richness of bacteria derived from natural communities associated with axenic E. huxleyi rapidly shifted and then stabilized over time. The succession of microorganisms recruited from the environment was consistently dependent on the composition of the initial bacterioplankton community. Phycosphere-associated communities derived from the E. huxleyi bloom were highly similar to one another, suggesting deterministic processes, whereas cultures from non-bloom conditions show an effect of stochasticity. Overall, this work sheds new light on the importance of the initial inoculum composition in microbiome recruitment and elucidates the temporal dynamics of its composition and long-term stability.
C1 [dos Reis, Mariana Camara; Romac, Sarah; Le Gall, Florence; Marie, Dominique; Henry, Nicolas; de Vargas, Colomban; Jeanthon, Christian] Sorbonne Univ, Ctr Natl Rech Sci, Stn Biol Roscoff, UMR7144,Adaptat & Diversit Milieu Marin, Roscoff, France.
[dos Reis, Mariana Camara; Henry, Nicolas; de Vargas, Colomban; Jeanthon, Christian] Res Federat study Global Ocean Syst Ecol & Evolut, Tara GOSEE, FR2022, Paris, France.
[Frada, Miguel J.; Koplovitz, Gil] Interuniv Inst Marine Sci Eilat, Elat, Israel.
[Frada, Miguel J.] Hebrew Univ Jerusalem, Silberman Inst Life Sci, Dept Ecol Evolut & Behav, Jerusalem, Israel.
[Cariou, Thierry] Sorbonne Univ, Ctr Natl Rech Sci, Stn Biol Roscoff, FR2424, Roscoff, France.
[dos Reis, Mariana Camara] BIOCITECH, Biomillenia Design Pharmaceut, Romainville, France.
[Cariou, Thierry] IRD, US191, Instrumentat Moyens Analyt Observ Geophys & Ocean, Plouzane, France.
[Henry, Nicolas] Sorbonne Univ, Ctr Natl Rech Sci, FR2424, ABIMS Bioinformat Platform,Stat Biol Roscoff, Roscoff, France.
RP dos Reis, MC; Jeanthon, C (corresponding author), Sorbonne Univ, Ctr Natl Rech Sci, Stn Biol Roscoff, UMR7144,Adaptat & Diversit Milieu Marin, Roscoff, France.
EM maricamarareis@gmail.com; jeanthon@sb-roscoff.fr
CR Ajani PA, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02758
Allen R, 2020, MOL ECOL, V29, P4680, DOI 10.1111/mec.15651
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2009, P NATL ACAD SCI USA, V106, P17071, DOI 10.1073/pnas.0905512106
Aminot A., 2007, DOSAGE AUTOMATIQUE N
Anderson M.J., 2005, Permanova-Permutational multivariate analysis of variance
Anderson MJ, 2013, ECOL MONOGR, V83, P557, DOI 10.1890/12-2010.1
[Anonymous], 2015, Community Ecology Package
Avci B, 2020, ISME J, V14, P1369, DOI 10.1038/s41396-020-0601-y
Barak-Gavish N, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aau5716
Behringer G, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00659
BELL W, 1972, BIOL BULL, V143, P265, DOI 10.2307/1540052
Bohmann K, 2022, MOL ECOL RESOUR, V22, P1231, DOI 10.1111/1755-0998.13512
BRATBAK G, 1993, MAR ECOL PROG SER, V93, P39, DOI 10.3354/meps093039
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Camara dos Reis, 2021, STRUCTURE ASSEMBLY B
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Choi DH, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy134
Cirri E, 2019, NEW PHYTOL, V223, P100, DOI 10.1111/nph.15765
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
De Cáceres M, 2009, ECOLOGY, V90, P3566, DOI 10.1890/08-1823.1
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2007, FEMS MICROBIOL ECOL, V60, P411, DOI 10.1111/j.1574-6941.2007.00303.x
FALKOWSKI PG, 1994, PHOTOSYNTH RES, V39, P235, DOI 10.1007/BF00014586
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Fisher CL, 2020, METABOLITES, V10, DOI 10.3390/metabo10090361
Francis T. B., 2021, ISME J, V15, P1
Fu H, 2020, P NATL ACAD SCI USA, V117, P3656, DOI 10.1073/pnas.1917265117
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gohin F, 2019, REMOTE SENS ENVIRON, V233, DOI 10.1016/j.rse.2019.111343
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Green DH, 2015, BIOMED RES INT, V2015, DOI 10.1155/2015/194540
Hahnke RL, 2015, ENVIRON MICROBIOL, V17, P3515, DOI 10.1111/1462-2920.12479
HOLLIGAN PM, 1983, NATURE, V304, P339, DOI 10.1038/304339a0
Holmström C, 1999, FEMS MICROBIOL ECOL, V30, P285, DOI 10.1111/j.1574-6941.1999.tb00656.x
Hunter JE, 2015, FRONT MAR SCI, V2, DOI 10.3389/fmars.2015.00081
Jackrel SL, 2021, ISME J, V15, P774, DOI 10.1038/s41396-020-00812-x
Kappelmann L, 2019, ISME J, V13, P76, DOI 10.1038/s41396-018-0242-6
Keuter S, 2019, MAR MICROPALEONTOL, V148, P58, DOI 10.1016/j.marmicro.2019.03.007
Kim JG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221408
Kimbrel JA, 2019, ALGAL RES, V40, DOI 10.1016/j.algal.2019.101489
Kindt R., 2005, Tree diversity analysis. A manual and software for common statistical methods for ecological and biodiversity studies
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Laber CP, 2018, NAT MICROBIOL, V3, P537, DOI 10.1038/s41564-018-0128-4
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lawson CA, 2018, ENV MICROBIOL REP, V10, P7, DOI 10.1111/1758-2229.12599
Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
Lehahn Y, 2014, CURR BIOL, V24, P2041, DOI 10.1016/j.cub.2014.07.046
Li DX, 2018, ENVIRON MICROBIOL, V20, P632, DOI 10.1111/1462-2920.13986
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
Longford SR, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-37062-z
Lovejoy C, 1998, APPL ENVIRON MICROB, V64, P2806
Lucas J, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00321
Malin G, 2004, COCCOLITHOPHORES: FROM MOLECULAR PROCESSES TO GLOBAL IMPACT, P127
MALIN G, 1993, DEEP-SEA RES PT I, V40, P1487, DOI 10.1016/0967-0637(93)90125-M
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Martin M., 2011, EMBnet J, V17, P10
Mena C, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01749
Meyer N, 2017, FEMS MICROBIOL REV, V41, P880, DOI 10.1093/femsre/fux029
Miller TR, 2004, APPL ENVIRON MICROB, V70, P3383, DOI 10.1128/AEM.70.6.3383-3391.2004
Mönnich J, 2020, ISME J, V14, P1614, DOI 10.1038/s41396-020-0631-5
Murali A, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0521-5
Neufeld JD, 2008, APPL ENVIRON MICROB, V74, P7321, DOI 10.1128/AEM.01266-08
Neukermans G, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00146
Orata F. D., 2016, POLYMICROBIAL CULTUR, V4, P9, DOI [10.1128/genomeA.00674-16.Copyright, DOI 10.1128/GENOMEA.00674-16.COPYRIGHT]
Orellana LH, 2019, ISME J, V13, P3024, DOI 10.1038/s41396-019-0491-z
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
Perrot L, 2018, PROG OCEANOGR, V166, P41, DOI 10.1016/j.pocean.2017.12.008
Pomeroy LR, 2007, OCEANOGRAPHY, V20, P28, DOI 10.5670/oceanog.2007.45
Poulton AJ, 2014, BIOGEOSCIENCES, V11, P3919, DOI 10.5194/bg-11-3919-2014
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2017, R LANG ENV STAT COMP
Reese KL, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50125-z
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Romac S., 2022, CRYOGRINDING PROTOCO, DOI [10.17504/protocols.io.beqpjdvn, DOI 10.17504/PROTOCOLS.IO.BEQPJDVN]
Romac S., 2022, PROKARYOTES 16 S V4V, DOI [10.17504/protocols.io.bzwwp7fe, DOI 10.17504/PROTOCOLS.IO.BZWWP7FE]
Romac S., 2022, RNA DNA EXTRACTION P, DOI [10.17504/protocols.io.b2j7qcrn, DOI 10.17504/PROTOCOLS.IO.B2J7QCRN]
Romac S., 2022, PROTOCOLSIO, DOI [10.17504/protocols.io.b2ctqawn, DOI 10.17504/PROTOCOLS.IO.B2CTQAWN]
Rosana ARR, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.00673-16
Rost B, 2004, COCCOLITHOPHORES: FROM MOLECULAR PROCESSES TO GLOBAL IMPACT, P99
RStudio Team, 2015, RSTUDIO INT DEV R
Saary P, 2017, BIOINFORMATICS, V33, P2594, DOI 10.1093/bioinformatics/btx206
Seyedsayamdost MR, 2014, J AM CHEM SOC, V136, P15150, DOI 10.1021/ja508782y
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shibl AA, 2020, P NATL ACAD SCI USA, V117, P27445, DOI 10.1073/pnas.2012088117
Smriga S, 2016, P NATL ACAD SCI USA, V113, P1576, DOI 10.1073/pnas.1512307113
Sonnenschein EC, 2012, APPL ENVIRON MICROB, V78, P6900, DOI 10.1128/AEM.01790-12
Sörenson E, 2019, ENV MICROBIOL REP, V11, P425, DOI 10.1111/1758-2229.12736
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-117
Stock W, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00091-x
Sunagawa S, 2020, NAT REV MICROBIOL, V18, P428, DOI 10.1038/s41579-020-0364-5
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thompson HF, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8121955
Treguer P., 1975, MANUEL ANAL SELS NUT, V2nd ed.
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tyrrell T, 2004, COCCOLITHOPHORES: FROM MOLECULAR PROCESSES TO GLOBAL IMPACT, P75
Vardi A, 2012, P NATL ACAD SCI USA, V109, P19327, DOI 10.1073/pnas.1208895109
Vardi A, 2009, SCIENCE, V326, P861, DOI 10.1126/science.1177322
Vincent F, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2021586118
Wemheuer B, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00805
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Yang SJ, 2016, MICROB ECOL, V71, P29, DOI 10.1007/s00248-015-0695-3
Zhou J, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00349-19
Ziv C, 2016, P NATL ACAD SCI USA, V113, pE1907, DOI 10.1073/pnas.1523168113
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 114
TC 11
Z9 11
PD DEC
PY 2023
VL 32
IS 23
SI SI
BP 6507
EP 6522
DI 10.1111/mec.16829
EA JAN 2023
UT WOS:000916084400001
DA 2025-07-30
ER
PT J
AU Widner, B
Fuchsman, CA
Chang, BX
Rocap, G
Mulholland, MR
AF Widner, Brittany
Fuchsman, Clara A.
Chang, Bonnie X.
Rocap, Gabrielle
Mulholland, Margaret R.
TI Utilization of urea and cyanate in waters overlying and within the
eastern tropical north Pacific oxygen deficient zone
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB In marine oxygen deficient zones (ODZs), which contribute up to half of marine N loss, microbes use nitrogen (N) for assimilatory and dissimilatory processes. Here, we examine N utilization above and within the ODZ of the Eastern Tropical North Pacific Ocean, focusing on distribution, uptake and genes for the utilization of two simple organic N compounds, urea and cyanate. Ammonium, urea and cyanate concentrations generally peaked in the oxycline while uptake rates were highest in the surface. Within the ODZ, concentrations were lower, but urea N and C and cyanate C were taken up. All identified autotrophs had an N assimilation pathway that did not require external ammonium: ODZ Prochlorococcus possessed genes to assimilate nitrate, nitrite and urea; nitrite oxidizers (Nitrospina) possessed genes to assimilate nitrite, urea and cyanate; anammox bacteria (Scalindua) possessed genes to utilize cyanate; and ammonia-oxidizing Thaumarchaeota possessed genes to utilize urea. Urease genes were present in 20% of microbes, including SAR11, suggesting the urea utilization capacity was widespread. In the ODZ core, cyanate genes were largely (similar to 95%) associated with Scalindua, suggesting that, within this ODZ, cyanate N is primarily used for N loss via anammox (cyanammox), and that anammox does not require ammonium for N loss.
C1 [Widner, Brittany; Mulholland, Margaret R.] Old Dominion Univ, Dept Ocean Earth & Atmospher Sci, Norfolk, VA USA.
[Fuchsman, Clara A.; Rocap, Gabrielle] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
[Fuchsman, Clara A.] Univ Maryland, Horn Point Lab, Ctr Environm Sci, Cambridge, MD USA.
[Chang, Bonnie X.] Univ Washington, Joint Inst Study Atmosphere & Ocean, Seattle, WA 98195 USA.
[Chang, Bonnie X.] Natl Ocean & Atmospher Adm, Pacific Marine Environm Lab, Seattle, WA USA.
RP Widner, B (corresponding author), Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, MS 4, Woods Hole, MA 02543 USA.
EM bwidner@whoi.edu
CR Acker J.G., 2007, EOS T AM GEOPHYS UNI, V88, P14, DOI [10.1029/2007EO020003, DOI 10.1029/2007EO020003]
ALLEN CM, 1964, BIOCHEMISTRY-US, V3, P1238, DOI 10.1021/bi00897a010
Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
ANDERSON PM, 1990, FEMS MICROBIOL LETT, V87, P247, DOI 10.1016/0378-1097(90)90462-Y
ANTIA NJ, 1991, PHYCOLOGIA, V30, P1, DOI 10.2216/i0031-8884-30-1-1.1
Astorga-Eló M, 2015, ISME J, V9, P1264, DOI 10.1038/ismej.2015.21
Babbin AR, 2017, GLOBAL BIOGEOCHEM CY, V31, P258, DOI 10.1002/2016GB005407
Babbin AR, 2015, SCIENCE, V348, P1127, DOI 10.1126/science.aaa8380
Babbin AR, 2014, SCIENCE, V344, P406, DOI 10.1126/science.1248364
Berger SA, 2011, SYST BIOL, V60, P291, DOI 10.1093/sysbio/syr010
Berges JA, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P1385, DOI 10.1016/B978-0-12-372522-6.00032-3
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Bianchi D, 2014, P NATL ACAD SCI USA, V111, P15653, DOI 10.1073/pnas.1410790111
Bronk DA, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P385, DOI 10.1016/B978-0-12-372522-6.00008-6
Cabello P., 2012, TOPICS ECOLOGICAL EN, P483
Carepo Marta S P, 2004, Genet Mol Res, V3, P181
Chang BX, 2014, LIMNOL OCEANOGR, V59, P1267, DOI 10.4319/lo.2014.59.4.1267
Chang BX, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004207
CHO BC, 1995, MAR ECOL PROG SER, V122, P21, DOI 10.3354/meps122021
Connelly TL, 2014, APPL ENVIRON MICROB, V80, P6013, DOI 10.1128/AEM.01431-14
Dalsgaard T, 2005, RES MICROBIOL, V156, P457, DOI 10.1016/j.resmic.2005.01.011
Devol AH, 2013, PHYS CHEM BIOL CTD B
DeVries T, 2013, BIOGEOSCIENCES, V10, P2481, DOI 10.5194/bg-10-2481-2013
DIRNHUBER P, 1948, BIOCHEM J, V42, P628, DOI 10.1042/bj0420628
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Emerson S, 2008, CHEMICAL OCEANOGRAPHY AND THE MARINE CARBON CYCLE, P1, DOI 10.1017/CBO9780511793202
Fuchsman CA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02384
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Füssel J, 2012, ISME J, V6, P1200, DOI 10.1038/ismej.2011.178
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Garcia HE, 2013, NOAA ATLAS NESDIS, V76, P1
Glass JB, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00998
Glibert PM, 2016, LIMNOL OCEANOGR, V61, P165, DOI 10.1002/lno.10203
Gordon LI, 1993, CORVALLIS
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Horak REA, 2016, GEOPHYS RES LETT, V43, P5252, DOI 10.1002/2016GL068871
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kamennaya NA, 2013, LIMNOL OCEANOGR, V58, P1959, DOI 10.4319/lo.2013.58.6.1959
Kamennaya NA, 2011, APPL ENVIRON MICROB, V77, P291, DOI 10.1128/AEM.01272-10
Klotz MG, 2006, APPL ENVIRON MICROB, V72, P6299, DOI 10.1128/AEM.00463-06
Koops HP, 2001, FEMS MICROBIOL ECOL, V37, P1, DOI 10.1111/j.1574-6941.2001.tb00847.x
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Lipschultz F, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P1345, DOI 10.1016/B978-0-12-372522-6.00031-1
Maas AE, 2014, J PLANKTON RES, V36, P1557, DOI 10.1093/plankt/fbu077
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Montoya JP, 1996, APPL ENVIRON MICROB, V62, P986, DOI 10.1128/AEM.62.3.986-993.1996
Moore CM, 2013, NAT GEOSCI, V6, P701, DOI [10.1038/NGEO1765, 10.1038/ngeo1765]
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Mulholland MR, 2006, LIMNOL OCEANOGR, V51, P1762, DOI 10.4319/lo.2006.51.4.1762
Mulholland MR, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P303, DOI 10.1016/B978-0-12-372522-6.00007-4
Mulholland MR, 2009, LIMNOL OCEANOGR, V54, P856, DOI 10.4319/lo.2009.54.3.0856
NASA, 2012, MOD RES IM SPECTR MO
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Palatinszky M, 2015, NATURE, V524, P105, DOI 10.1038/nature14856
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Pao SS, 1998, MICROBIOL MOL BIOL R, V62, P1
Parsons T R., MANUAL CHEM BIOL MET
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Pawlowicz R., 2018, M Map: A mapping package for MATLAB
Peng XF, 2015, GLOBAL BIOGEOCHEM CY, V29, P2034, DOI 10.1002/2015GB005278
Qin W, 2014, P NATL ACAD SCI USA, V111, P12504, DOI 10.1073/pnas.1324115111
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Saunders JK, 2016, ISME J, V10, P197, DOI 10.1038/ismej.2015.85
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Seyler LM, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy014
Sipler RE, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P127, DOI 10.1016/B978-0-12-405940-5.00004-2
Solomon CM, 2010, AQUAT MICROB ECOL, V59, P67, DOI 10.3354/ame01390
SOLORZANO L, 1969, LIMNOL OCEANOGR, V14, P799, DOI 10.4319/lo.1969.14.5.0799
Spang A, 2012, ENVIRON MICROBIOL, V14, P3122, DOI 10.1111/j.1462-2920.2012.02893.x
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
van de Vossenberg J, 2013, ENVIRON MICROBIOL, V15, P1275, DOI 10.1111/j.1462-2920.2012.02774.x
van Niftrik LA, 2004, FEMS MICROBIOL LETT, V233, P7, DOI 10.1016/j.femsle.2004.01.044
vonWiren N, 2004, MOL MECH CONTROLLING
Wessel P, 2012, GLOBAL SELF CONSISTE
Widner B, 2018, LIMNOL OCEANOGR, V63, pS177, DOI 10.1002/lno.10730
Widner B, 2017, LIMNOL OCEANOGR, V62, P2538, DOI 10.1002/lno.10588
Widner B, 2016, ENVIRON SCI TECH LET, V3, P297, DOI 10.1021/acs.estlett.6b00165
Widner B, 2013, ANAL CHEM, V85, P6661, DOI 10.1021/ac400351c
WISHNER KF, 1995, DEEP-SEA RES PT I, V42, P93, DOI 10.1016/0967-0637(94)00021-J
Zerbino DR, 2010, CURR PROTOC BIOINFOR, V11, P11, DOI DOI 10.1002/0471250953.BI1105S31
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 86
TC 33
Z9 36
PD OCT
PY 2018
VL 94
IS 10
AR fiy138
DI 10.1093/femsec/fiy138
UT WOS:000448167900002
DA 2025-07-30
ER
PT J
AU Alonso-Sáez, L
Arístegui, J
Pinhassi, J
Gómez-Consarnau, L
González, JM
Vaqué, D
Agustí, S
Gasol, JM
AF Alonso-Saez, Laura
Aristegui, Javier
Pinhassi, Jarone
Gomez-Consarnau, Laura
Gonzalez, Jose M.
Vaque, Dolors
Agusti, Susana
Gasol, Josep M.
TI Bacterial assemblage structure and carbon metabolism along a
productivity gradient in the NE Atlantic Ocean
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Bacterioplankton have the potential to significantly affect the cycling of organic matter in the ocean; however, little is known about the linkage between bacterial assemblage structure and carbon metabolism. In this study, we investigated whether changes in the phylogenetic composition of bacterioplankton were associated with changes in bacterial carbon processing (bacterial production, respiration and biomass) in the subtropical NE Atlantic Ocean. We found consistent differences in the composition of the bacterial assemblage, as revealed by denaturing gradient gel electrophoresis (DGGE) and catalyzed reporter deposition-fluorescence in situ hybridization (CARD-FISH), along a gradient from the NW African upwelling to the oligotrophic North Atlantic Subtropical Gyre. The percent contribution of Bacteroidetes, Roseobacter and Gammaproteobacteria significantly increased towards more productive waters, whereas the SAR11 clade of the Alphaproteobacteria remained relatively constant (average 28% of DAPI-stained cells) throughout the area. Changes in the composition of the bacterial assemblage detected by DGGE were weakly but significantly correlated with changes in carbon processing variables. The abundances of Roseobacter and Gammaproteobacteria were highly correlated with the concentration of particulate organic carbon and chlorophyll a, reflecting the affinity of these groups to nutrient-enriched conditions. The abundance of Roseobacter was also positively correlated with heterotrophic bacterial production, suggesting their active participation in carbon processing.
C1 CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, Barcelona 08003, Catalunya, Spain.
Univ Palmas Gran Canaria, Dept Biol, Las Palmas Gran Canaria 35017, Spain.
Univ Kalmar, Dept Biol & environm Sci, Kalmar, Sweden.
Univ La Laguna, Fac Farm, Dept Microbiol & Biol Celular, San Cristobal la Laguna 38071, Spain.
Univ Illes Balears, CSIC, IMEDEA, Esporles, Mallorca, Spain.
RP Alonso-Sáez, L (corresponding author), CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, Pg Maritim Barcelona 37-49, Barcelona 08003, Catalunya, Spain.
EM lalonso@icm.csic.es
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V53, P379, DOI 10.1016/j.femsec.2005.01.008
Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
ALONSOSAEZ L, 2007, IN PRESS LIMNOL OCEA, V52
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], 1980, INTRO MULTIVARIATE A
[Anonymous], THESIS TU MUNCHEN
[Anonymous], 1978, ser. Quantitative Applications in the Social Sciences
Arrieta JM, 2004, LIMNOL OCEANOGR, V49, P799, DOI 10.4319/lo.2004.49.3.0799
BJORNSEN PK, 1991, MAR ECOL PROG SER, V71, P185, DOI 10.3354/meps071185
Castle D, 2004, LIMNOL OCEANOGR-METH, V2, P303, DOI 10.4319/lom.2004.2.303
Clarke K.R., 1994, Changes in marine communities: an approach to statistical analysis and interpretation
CLARKE KR, 1988, MAR ECOL PROG SER, V46, P213, DOI 10.3354/meps046213
Cuevasa LA, 2004, DEEP-SEA RES PT II, V51, P2427, DOI 10.1016/j.dsr2.2004.07.026
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
del Giorgio PA, 2002, LIMNOL OCEANOGR, V47, P471, DOI 10.4319/lo.2002.47.2.0471
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
DUCKLOW HW, 1992, ADV MICROB ECOL, V12, P113
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fry JC, 2006, FEMS MICROBIOL ECOL, V58, P86, DOI 10.1111/j.1574-6941.2006.00144.x
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fukuda R, 1998, APPL ENVIRON MICROB, V64, P3352
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Glockner FO, 1996, SYST APPL MICROBIOL, V19, P403
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
Kerkhof LJ, 1999, HYDROBIOLOGIA, V401, P139, DOI 10.1023/A:1003734310515
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Lebaron P, 2002, AQUAT MICROB ECOL, V28, P131, DOI 10.3354/ame028131
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANTEL N, 1967, CANCER RES, V27, P209
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Martinez J, 1996, AQUAT MICROB ECOL, V10, P223, DOI 10.3354/ame010223
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pinhassi J, 2003, MAR ECOL PROG SER, V255, P1, DOI 10.3354/meps255001
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Pinhassi J, 1999, AQUAT MICROB ECOL, V17, P13, DOI 10.3354/ame017013
Reinthaler T, 2005, APPL ENVIRON MICROB, V71, P2260, DOI 10.1128/AEM.71.5.2260-2266.2005
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Riemann L, 2002, AQUAT MICROB ECOL, V27, P219, DOI 10.3354/ame027219
Riemann L, 1999, DEEP-SEA RES PT II, V46, P1791, DOI 10.1016/S0967-0645(99)00044-2
Schäfer H, 2002, FEMS MICROBIOL ECOL, V42, P25, DOI 10.1111/j.1574-6941.2002.tb00992.x
Schauer M, 2000, FEMS MICROBIOL ECOL, V33, P51, DOI 10.1016/S0168-6496(00)00043-X
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
*UNESCO, 1994, INT OC COMM MAN GUID, V29, P1
Van Mooy BAS, 2004, LIMNOL OCEANOGR, V49, P1056, DOI 10.4319/lo.2004.49.4.1056
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
WARD JH, 1963, J AM STAT ASSOC, V58, P236, DOI 10.2307/2282967
Williams Peter J. le B., 2005, P1, DOI 10.1093/acprof:oso/9780198527084.003.0001
Winter C, 2005, LIMNOL OCEANOGR, V50, P968, DOI 10.4319/lo.2005.50.3.0968
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
NR 69
TC 66
Z9 69
PD JAN 19
PY 2007
VL 46
IS 1
BP 43
EP 53
DI 10.3354/ame046043
UT WOS:000244194200004
DA 2025-07-30
ER
PT J
AU Xie, ZX
Chen, F
Zhang, SF
Wang, MH
Zhang, H
Kong, LF
Dai, MH
Hong, HS
Lin, L
Wang, DZ
AF Xie, Zhang-Xian
Chen, Feng
Zhang, Shu-Feng
Wang, Ming-Hua
Zhang, Hao
Kong, Ling-Fen
Dai, Min-Han
Hong, Hua-Sheng
Lin, Lin
Wang, Da-Zhi
TI Metaproteomics of marine viral concentrates reveals key viral
populations and abundant periplasmic proteins in the oligotrophic deep
chlorophyll maximum of the South China Sea
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Viral concentrates (VCs), containing bioinformative DNA and proteins, have been used to study viral diversity, viral metagenomics and virus-host interactions in natural ecosystems. Besides viruses, VCs also contain many noncellular biological components including diverse functional proteins. Here, we used a shotgun proteomic approach to characterize the proteins of VCs collected from the oligotrophic deep chlorophyll maximum (DCM) of the South China Sea. Proteins of viruses infecting picophytoplankton, that is, cyanobacteria and prasinophytes, and heterotrophic bacterioplankton, such as SAR11 and SAR116, dominated the viral proteome. Almost no proteins from RNA viruses or known gene transfer agents were detected, suggesting that they were not abundant at the sampling site. Remarkably, nonviral proteins made up about two thirds of VC proteins, including overwhelmingly abundant periplasmic transporters for nutrient acquisition and proteins for diverse cellular processes, that is, translation, energy metabolism and one carbon metabolism. Interestingly, three 56 kDa selenium-binding proteins putatively involved in peroxide reduction from gammaproteobacteria were abundant in the VCs, suggesting active removal of peroxide compounds at DCM. Our study demonstrated that metaproteomics provides a valuable avenue to explore the diversity and structure of the viral community and also the pivotal biological functions affiliated with microbes in the natural environment.
C1 [Xie, Zhang-Xian; Zhang, Shu-Feng; Wang, Ming-Hua; Zhang, Hao; Kong, Ling-Fen; Dai, Min-Han; Hong, Hua-Sheng; Lin, Lin; Wang, Da-Zhi] Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
[Chen, Feng] Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, Baltimore, MD 21201 USA.
RP Wang, DZ (corresponding author), Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
EM dzwang@xmu.edu.cn
CR Abascal F, 2005, BIOINFORMATICS, V21, P2104, DOI 10.1093/bioinformatics/bti263
Aguilera L, 2014, PROTEOMICS, V14, P222, DOI 10.1002/pmic.201300328
Altindis E, 2014, P NATL ACAD SCI USA, V111, pE1548, DOI 10.1073/pnas.1403683111
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
[Anonymous], BIORXIV
[Anonymous], 2007, PLOS BIOL, DOI DOI 10.1371/journal.pbio.0050016
BERGH O, 1989, NATURE, V340, P467, DOI 10.1038/340467a0
Biers EJ, 2008, APPL ENVIRON MICROB, V74, P2933, DOI 10.1128/AEM.02129-07
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2005, AQUAT MICROB ECOL, V41, P103, DOI 10.3354/ame041103
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Chen F, 1996, APPL ENVIRON MICROB, V62, P2869, DOI 10.1128/AEM.62.8.2869-2874.1996
Chenna R, 2003, NUCLEIC ACIDS RES, V31, P3497, DOI 10.1093/nar/gkg500
Christie-Oleza JA, 2015, ENVIRON MICROBIOL, V17, P3781, DOI 10.1111/1462-2920.12822
Colombet J, 2007, J MICROBIOL METH, V71, P212, DOI 10.1016/j.mimet.2007.08.012
Dickson Robert P., 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.113, DOI 10.1038/NMICROBIOL.2016.65]
Dong HP, 2013, GEOCHIM COSMOCHIM AC, V109, P51, DOI 10.1016/j.gca.2013.01.041
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Forterre P, 2013, TRENDS MICROBIOL, V21, P1, DOI 10.1016/j.tim.2012.10.005
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Hewson I, 2001, AQUAT MICROB ECOL, V25, P1, DOI 10.3354/ame025001
Hollibaugh JT, 2014, ISME J, V8, P685, DOI 10.1038/ismej.2013.171
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hurwitz BL, 2013, ENVIRON MICROBIOL, V15, P1428, DOI 10.1111/j.1462-2920.2012.02836.x
JIANG SC, 1995, APPL ENVIRON MICROB, V61, P317, DOI 10.1128/AEM.61.1.317-325.1995
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Kuehn MJ, 2005, GENE DEV, V19, P2645, DOI 10.1101/gad.1299905
Lang AS, 2012, NAT REV MICROBIOL, V10, P472, DOI 10.1038/nrmicro2802
Lang AS, 2009, FEMS MICROBIOL REV, V33, P295, DOI 10.1111/j.1574-6976.2008.00132.x
Lin SJ, 2010, P NATL ACAD SCI USA, V107, P20033, DOI 10.1073/pnas.1007246107
Lund MB, 2012, ISME J, V6, P1966, DOI 10.1038/ismej.2012.40
Mavromatis K, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007979
McDaniel LD, 2010, SCIENCE, V330, P50, DOI 10.1126/science.1192243
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Porat A, 2000, J BIOL CHEM, V275, P14457, DOI 10.1074/jbc.275.19.14457
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Santoro AE, 2011, SCIENCE, V333, P1282, DOI 10.1126/science.1208239
Scanlan D, 2014, SCIENCE, V343, P143, DOI 10.1126/science.1248566
Short SM, 2002, APPL ENVIRON MICROB, V68, P1290, DOI 10.1128/AEM.68.3.1290-1296.2002
Soler N, 2015, ISME J, V9, P793, DOI 10.1038/ismej.2014.184
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Steward GF, 2013, ISME J, V7, P672, DOI 10.1038/ismej.2012.121
Sullivan MJ, 2011, BIOINFORMATICS, V27, P1009, DOI 10.1093/bioinformatics/btr039
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
SUTTLE CA, 1991, APPL ENVIRON MICROB, V57, P721, DOI 10.1128/AEM.57.3.721-726.1991
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Swan BK, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095380
Tamura T, 1996, P NATL ACAD SCI USA, V93, P1006, DOI 10.1073/pnas.93.3.1006
Tatusov RL, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-41
Thurber RV, 2009, NAT PROTOC, V4, P470, DOI 10.1038/nprot.2009.10
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Turnbull L, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11220
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
WEINBAUER MG, 1995, MAR ECOL PROG SER, V127, P245, DOI 10.3354/meps127245
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Williamson SJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042047
Winter C, 2004, APPL ENVIRON MICROB, V70, P804, DOI 10.1128/AEM.70.2.804-813.2004
Wisniewski JR, 2009, NAT METHODS, V6, P359, DOI [10.1038/nmeth.1322, 10.1038/NMETH.1322]
Wommack K. Eric, 2009, V501, P3, DOI 10.1007/978-1-60327-164-6_1
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Yu CS, 2006, PROTEINS, V64, P643, DOI 10.1002/prot.21018
Zhang Y, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-40
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 76
TC 6
Z9 6
PD FEB
PY 2018
VL 20
IS 2
BP 477
EP 491
DI 10.1111/1462-2920.13937
UT WOS:000425019400005
DA 2025-07-30
ER
PT J
AU Rivers, AR
Sharma, S
Tringe, SG
Martin, J
Joye, SB
Moran, MA
AF Rivers, Adam R.
Sharma, Shalabh
Tringe, Susannah G.
Martin, Jeffrey
Joye, Samantha B.
Moran, Mary Ann
TI Transcriptional response of bathypelagic marine bacterioplankton to the
Deepwater Horizon oil spill
SO ISME JOURNAL
DT Article
AB The Deepwater Horizon blowout released a massive amount of oil and gas into the deep ocean between April and July 2010, stimulating microbial blooms of petroleum-degrading bacteria. To understand the metabolic response of marine microorganisms, we sequenced similar to 66 million community transcripts that revealed the identity of metabolically active microbes and their roles in petroleum consumption. Reads were assigned to reference genes from similar to 2700 bacterial and archaeal taxa, but most assignments (39%) were to just six genomes representing predominantly methane-and petroleum-degrading Gammaproteobacteria. Specific pathways for the degradation of alkanes, aromatic compounds and methane emerged from the metatranscriptomes, with some transcripts assigned to methane monooxygenases representing highly divergent homologs that may degrade either methane or short alkanes. The microbial community in the plume was less taxonomically and functionally diverse than the unexposed community below the plume; this was due primarily to decreased species evenness resulting from Gammaproteobacteria blooms. Surprisingly, a number of taxa (related to SAR11, Nitrosopumilus and Bacteroides, among others) contributed equal numbers of transcripts per liter in both the unexposed and plume samples, suggesting that some groups were unaffected by the petroleum inputs and blooms of degrader taxa, and may be important for re-establishing the pre-spill microbial community structure.
C1 [Rivers, Adam R.; Sharma, Shalabh; Joye, Samantha B.; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Tringe, Susannah G.; Martin, Jeffrey] DOE Joint Genome Inst, Walnut Creek, CA USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Anders S, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-10-r106
[Anonymous], 2003, OIL SEA
Anthony C., 1982, BIOCH METHYLOTROPHS
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Boden R, 2011, J BACTERIOL, V193, P3154, DOI 10.1128/JB.00388-11
Camilli R, 2010, SCIENCE, V330, P201, DOI 10.1126/science.1195223
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Caspi R, 2012, NUCLEIC ACIDS RES, V40, pD742, DOI 10.1093/nar/gkr1014
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Falgueras J, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-38
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
Han MV, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-356
Hanson RS, 1996, MICROBIOL REV, V60, P439, DOI 10.1128/MMBR.60.2.439-471.1996
Hazen TC, 2010, SCIENCE, V330, P204, DOI 10.1126/science.1195979
Jari O., 2013, vegan: Community Ecology Package
Joye SB, 2011, NAT GEOSCI, V4, P160, DOI [10.1038/ngeo1067, 10.1038/NGEO1067]
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Kelley D.E., 2013, OCE ANAL OCEANOGRAPH
Kelly DP, 2005, TRENDS MICROBIOL, V13, P195, DOI 10.1016/j.tim.2005.03.003
Kessler JD, 2011, SCIENCE, V331, P312, DOI 10.1126/science.1199697
King GM, 2013, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00438
Krzywinski M, 2009, GENOME RES, V19, P1639, DOI 10.1101/gr.092759.109
LAMONTAGNE RA, 1973, J GEOPHYS RES, V78, P5317, DOI 10.1029/JC078i024p05317
Le SQ, 2008, PHILOS T R SOC B, V363, P3965, DOI 10.1098/rstb.2008.0180
Lesniewski RA, 2012, ISME J, V6, P2257, DOI 10.1038/ismej.2012.63
Li M, 2014, ENVIRON MICROBIOL, V16, P60, DOI 10.1111/1462-2920.12182
Lozupone C, 2011, ISME J, V5, P169, DOI 10.1038/ismej.2010.133
Lu ZM, 2012, ISME J, V6, P451, DOI 10.1038/ismej.2011.91
Martin J, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-663
Mason OU, 2012, ISME J, V6, P1715, DOI 10.1038/ismej.2012.59
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
Ogata H, 1999, NUCLEIC ACIDS RES, V27, P29, DOI 10.1093/nar/27.1.29
Pitcher RS, 2004, BBA-BIOENERGETICS, V1655, P388, DOI 10.1016/j.bbabio.2003.09.017
Poretsky Rachel S, 2009, J Vis Exp, DOI 10.3791/1086
Reddy CM, 2012, P NATL ACAD SCI USA, V109, P20229, DOI 10.1073/pnas.1101242108
Redmond MC, 2012, P NATL ACAD SCI USA, V109, P20292, DOI 10.1073/pnas.1108756108
Redmond MC, 2010, APPL ENVIRON MICROB, V76, P6412, DOI 10.1128/AEM.00271-10
Reeder J, 2010, NAT METHODS, V7, P668, DOI 10.1038/nmeth0910-668b
Rodrigue S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011840
Ryerson TB, 2012, P NATL ACAD SCI USA, V109, P20246, DOI 10.1073/pnas.1110564109
Satinsky BM, 2013, METH ENZYM IN PRESS
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Suzuki T, 2012, MICROBES ENVIRON, V27, P54, DOI 10.1264/jsme2.ME11256
Svenning MM, 2011, J BACTERIOL, V193, P6418, DOI 10.1128/JB.05380-11
Tatusov RL, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-41
Tavormina PL, 2011, ENV MICROBIOL REP, V3, P91, DOI 10.1111/j.1758-2229.2010.00192.x
Tavormina PL, 2010, ISME J, V4, P700, DOI 10.1038/ismej.2009.155
Trotsenko YA, 2008, ADV APPL MICROBIOL, V63, P183, DOI 10.1016/S0065-2164(07)00005-6
Valentine DL, 2010, SCIENCE, V330, P208, DOI 10.1126/science.1196830
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Ward N, 2004, PLOS BIOL, V2, P1616, DOI 10.1371/journal.pbio.0020303
Yvon-Lewis SA, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2010GL045928
Zhu Wenhan, 2010, Nucleic Acids Res, V38, pe132, DOI 10.1093/nar/gkq275
NR 57
TC 124
Z9 135
PD DEC
PY 2013
VL 7
IS 12
BP 2315
EP 2329
DI 10.1038/ismej.2013.129
UT WOS:000327451800007
DA 2025-07-30
ER
PT J
AU Yeung, CW
Lee, K
Whyte, LG
Greer, CW
AF Yeung, C. William
Lee, Kenneth
Whyte, Lyle G.
Greer, Charles W.
TI Microbial community characterization of the Gully: a marine protected
area
SO CANADIAN JOURNAL OF MICROBIOLOGY
DT Article
AB The Gully is the first Fisheries and Oceans Canada marine protected area off the eastern coast of Canada. To ensure success of conservation efforts in this area, it is essential to develop a better understanding of microbial community composition from the euphotic zone to the deep sea in this previously unsurveyed environment. Denaturing gradient eel electrophoresis (DGGE) and nucleotide sequencing were used to characterize microbial community structure. DGGE results showed a clear difference in the microbial community structure between the euphotic zone and the deep sea water. Cluster analysis showed high similarity (>85%) for all the samples taken from below 500 m, but lower similarity (49%-72%) when comparing samples from above and below 500 m. Changes in microbial community structure with depth corresponded well with changes in oceanographic physical parameters. Furthermore. 16S rRNA gene analysis showed that the bacterioplankton sequences generally clustered into 1 of 9 major lineages commonly found in marine systems. However, not all the major lineages were detected at all the different depths. The SAR11 and SAR116 sequences were only present in the surface water, and the SAR324 and Actinobacteria sequences were only present in deep sea water. These findings provide a preliminary characterization of the microbial communities of this unique ecosystem.
C1 [Yeung, C. William; Greer, Charles W.] Natl Res Council Canada, Biotechnol Res Inst, Montreal, PQ H4P 2R2, Canada.
[Yeung, C. William; Whyte, Lyle G.] McGill Univ, Dept Nat Resource Sci, Ste Anne De Bellevue, PQ H9X 3V9, Canada.
[Lee, Kenneth] Fisheries & Oceans Canada, Dartmouth, NS B2Y 4A2, Canada.
RP Greer, CW (corresponding author), Natl Res Council Canada, Biotechnol Res Inst, 6100 Royalmount Ave, Montreal, PQ H4P 2R2, Canada.
EM charles.greer@nrc-cnrc.gc.ca
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
BARTLETT DH, 1992, SCI PROG, V76, P479
Casamayor EO, 2002, ENVIRON MICROBIOL, V4, P338, DOI 10.1046/j.1462-2920.2002.00297.x
CELUSSI M, 2009, OCEANOGR RES PAP, V56, P2193, DOI DOI 10.1016/J.DSR.2009.09.001
Cole JR, 2003, NUCLEIC ACIDS RES, V31, P442, DOI 10.1093/nar/gkg039
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeLong EF, 1997, APPL ENVIRON MICROB, V63, P2105, DOI 10.1128/AEM.63.5.2105-2108.1997
DICE LR, 1945, ECOLOGY, V26, P297, DOI 10.2307/1932409
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fortin N, 2004, J MICROBIOL METH, V56, P181, DOI 10.1016/j.mimet.2003.10.006
Fortin N, 1998, CAN J MICROBIOL, V44, P537, DOI 10.1139/cjm-44-6-537
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GORDON DC, 2002, CAN TECH REP FISH AQ, P2377
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Hall T. A., NUCL ACIDS S SER, V41, P95
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Jensen PR, 2008, ANTON LEEUW INT J G, V94, P51, DOI 10.1007/s10482-008-9239-x
Karl DM, 2002, NATURE, V415, P590, DOI 10.1038/415590b
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kato C, 1997, EXTREMOPHILES, V1, P117, DOI 10.1007/s007920050024
Kato C, 1998, APPL ENVIRON MICROB, V64, P1510
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
LEE SH, 1991, LIMNOL OCEANOGR, V36, P1277, DOI 10.4319/lo.1991.36.7.1277
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nogi Y, 1998, ARCH MICROBIOL, V170, P331, DOI 10.1007/s002030050650
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
RUTHERFORD RJ, 2002, CAN MANUSCR REP FISH, P2615
SHEFFIELD VC, 1989, P NATL ACAD SCI USA, V86, P232, DOI 10.1073/pnas.86.1.232
Simonato F, 2006, J BIOTECHNOL, V126, P11, DOI 10.1016/j.jbiotec.2006.03.038
Skoog A, 1999, LIMNOL OCEANOGR, V44, P1625, DOI 10.4319/lo.1999.44.7.1625
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
*SYST SOFTW INC, 2006, SIGMAPLOT VERS 10 CO
WHITEHEAD H, 1996, COSEW1C ASSESSMENT U
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Yoshida A, 2007, DEEP-SEA RES PT II, V54, P103, DOI 10.1016/j.dsr2.2006.01.030
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
NR 44
TC 6
Z9 7
PD MAY
PY 2010
VL 56
IS 5
BP 421
EP 431
DI 10.1139/W10-028
UT WOS:000279243400008
DA 2025-07-30
ER
PT J
AU Lozada, M
Dionisi, HM
AF Lozada, Mariana
Dionisi, Hebe M.
TI Insights into putative alginate lyases from epipelagic and mesopelagic
communities of the global ocean
SO SCIENTIFIC REPORTS
DT Article
AB Alginate lyases and oligoalginate lyases catalyze the cleavage of the glycosidic bonds of alginate, an acidic polysaccharide synthesized by brown algae and other organisms. These enzymes are highly diverse, currently classified into 15 families of the Carbohydrate-Active Enzyme (CAZy) database. We explored the structural and taxonomic diversity, the biogeographic distribution of the genes and transcripts, and the potential environmental drivers of putative alginate-degrading enzymes from picoplanktonic communities of the upper layers of the global ocean. The identified sequences were first analyzed using sequence similarity networks to assess their relationship with CAZy members. Sequences related to the PL5, PL6, PL7, PL17, and PL38 families had higher gene and transcript abundances, with temperature being a key driver of the structuring of the community members carrying putative alginate lyase genes. PL5 homologs included variants in a key residue of the active site, and sequences assigned to 'Candidatus Pelagibacter' showed high gene and transcript abundances that negatively correlated with inorganic phosphorus concentrations. Sequences assigned to Flavobacteriia and/or Gammaproteobacteria classes dominated the PL6, PL7, and PL17 families, in particular those closely related to sequences from uncultured Polaribacter and Alteromonas australica. In the PL38 family, while sequences assigned to taxa from the Planctomycetota, Verrucomicrobiota, and Bacteroidota phyla showed the highest relative gene abundance at most regions and depths, high expression levels were observed at high latitudes in sequences assigned to Eukaryota (e.g., Phaeocystis antarctica). Overall, the putative enzymes uncovered in this study could be involved in various physiological processes, including alginate assimilation and biosynthesis.
C1 [Lozada, Mariana] Consejo Nacl Invest Cient & Tecn, Inst Biol Organismos Marinos IBIOMAR, U9120ACD, Blvd Brown 2915, Puerto Madryn, Chubut, Argentina.
[Dionisi, Hebe M.] Consejo Nacl Invest Cient & Tecn, Ctr Estudio Sistemas Marinos CESIMAR, U9120ACD, Blvd Brown 2915, Puerto Madryn, Chubut, Argentina.
RP Dionisi, HM (corresponding author), Consejo Nacl Invest Cient & Tecn, Ctr Estudio Sistemas Marinos CESIMAR, U9120ACD, Blvd Brown 2915, Puerto Madryn, Chubut, Argentina.
EM hdionisi@cenpat-conicet.gob.ar
CR Abka-Khajouei R, 2022, MAR DRUGS, V20, DOI 10.3390/md20060364
Abramson J, 2024, NATURE, V630, DOI 10.1038/s41586-024-07487-w
Alderkamp AC, 2007, BIOGEOCHEMISTRY, V83, P99, DOI 10.1007/s10533-007-9078-2
Allen A., 2024, ResearchSquare, DOI [10.21203/rs.3.rs-4339559/v1, DOI 10.21203/RS.3.RS-4339559/V1]
[Anonymous], 2024, R LANG ENV STAT COMP
Arnosti C, 2021, ANNU REV MAR SCI, V13, P81, DOI 10.1146/annurev-marine-032020-012810
Atkinson HJ, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004345
Baker P, 2018, DEEP-SEA RES PT II, V148, P21, DOI 10.1016/j.dsr2.2017.10.002
Balmonte JP, 2024, ENVIRON MICROBIOL, V26, DOI 10.1111/1462-2920.16594
Barbeyron T, 2019, INT J SYST EVOL MICR, V69, P2514, DOI 10.1099/ijsem.0.003533
Barrett K, 2023, NUCLEIC ACIDS RES, V51, pW108, DOI 10.1093/nar/gkad385
Bringloe TT, 2020, CRIT REV PLANT SCI, V39, P281, DOI 10.1080/07352689.2020.1787679
Broatch JE, 2019, J STAT EDUC, V27, P147, DOI 10.1080/10691898.2019.1647768
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown SA, 2022, BIOGEOSCIENCES, V19, P5617, DOI 10.5194/bg-19-5617-2022
Bunse C, 2021, ENVIRON MICROBIOL, V23, P3130, DOI 10.1111/1462-2920.15536
Burnim AA, 2024, GLYCOBIOLOGY, V34, DOI 10.1093/glycob/cwae037
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chang TY, 2024, MICROBIOME, V12, DOI 10.1186/s40168-024-01848-3
Chen IMA, 2023, NUCLEIC ACIDS RES, V51, pD723, DOI 10.1093/nar/gkac976
Cheng DY, 2020, INT J BIOL MACROMOL, V164, P1304, DOI 10.1016/j.ijbiomac.2020.07.199
Copp JN, 2019, METHOD ENZYMOL, V620, P315, DOI 10.1016/bs.mie.2019.03.015
D'Souza G, 2023, ISME J, V17, P703, DOI 10.1038/s41396-023-01385-1
Dash P, 2022, ACS CENTRAL SCI, V8, P933, DOI 10.1021/acscentsci.2c00277
Delmont TO, 2022, CELL GENOM, V2, DOI 10.1016/j.xgen.2022.100123
Deniaud-Bouët E, 2017, CARBOHYD POLYM, V175, P395, DOI 10.1016/j.carbpol.2017.07.082
Dharshini RS, 2021, ANTON LEEUW INT J G, V114, P2205, DOI 10.1007/s10482-021-01673-w
Dong F, 2019, J MOL BIOL, V431, P4897, DOI 10.1016/j.jmb.2019.10.023
Dong S, 2014, J BIOL CHEM, V289, P29558, DOI 10.1074/jbc.M114.584573
Dong W, 2012, PROTEIN CELL, V3, P950, DOI 10.1007/s13238-012-2056-z
Eddy Sean R, 2009, Genome Inform, V23, P205
Eddy SR, 1998, BIOINFORMATICS, V14, P755, DOI 10.1093/bioinformatics/14.9.755
Eggleston EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01534
Elboutachfaiti R, 2011, CARBOHYD POLYM, V84, P1, DOI 10.1016/j.carbpol.2010.10.063
Garron ML, 2019, CURR OPIN CHEM BIOL, V53, P82, DOI 10.1016/j.cbpa.2019.08.004
Garron ML, 2014, CURR OPIN STRUC BIOL, V28, P87, DOI 10.1016/j.sbi.2014.07.012
Garron ML, 2010, GLYCOBIOLOGY, V20, P1547, DOI 10.1093/glycob/cwq122
Goddard TD, 2018, PROTEIN SCI, V27, P14, DOI 10.1002/pro.3235
Greninger AL, 2017, DIAGN MICR INFEC DIS, V87, P1, DOI 10.1016/j.diagmicrobio.2016.10.013
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hallgren J, 2022, bioRxiv, DOI [10.1101/2022.04.08.487609, 10.1101/2022.04.08.487609, DOI 10.1101/2022.04.08.487609]
Hehemann JH, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12860
Helbert W, 2019, P NATL ACAD SCI USA, V116, P6063, DOI 10.1073/pnas.1815791116
Henríquez-Castillo C, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.993667
Holliday GL, 2009, J MOL BIOL, V390, P560, DOI 10.1016/j.jmb.2009.05.015
Holm L, 2023, PROTEIN SCI, V32, DOI 10.1002/pro.4519
Holm L, 2020, METHODS MOL BIOL, V2112, P29, DOI 10.1007/978-1-0716-0270-6_3
Hornung BVH, 2023, PLOS COMPUT BIOL, V19, DOI 10.1371/journal.pcbi.1010881
Huffard CL, 2014, MAR BIOL, V161, P2735, DOI 10.1007/s00227-014-2539-y
Inoue A, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-41351-6
Itoh T, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-51006-1
Jain A, 2020, MAR ENVIRON RES, V155, DOI 10.1016/j.marenvres.2020.104874
Jenkins J, 1998, J STRUCT BIOL, V122, P236, DOI 10.1006/jsbi.1998.3985
Ji SQ, 2019, J BIOL CHEM, V294, P18077, DOI 10.1074/jbc.RA119.010716
Johnson M, 2008, NUCLEIC ACIDS RES, V36, pW5, DOI 10.1093/nar/gkn201
Jouanneau D, 2021, GLYCOBIOLOGY, V31, P1364, DOI 10.1093/glycob/cwab058
Junger PC, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adg9763
Kikuchi M, 2020, PROTEIN EXPRES PURIF, V166, DOI 10.1016/j.pep.2019.105502
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Kraiwattanapong J, 1999, BIOTECHNOL LETT, V21, P169, DOI 10.1023/A:1005435725903
Krause-Jensen D, 2016, NAT GEOSCI, V9, P737, DOI [10.1038/NGEO2790, 10.1038/ngeo2790]
Krumhansl KA, 2012, MAR ECOL PROG SER, V467, P281, DOI 10.3354/meps09940
Larkin MA, 2007, BIOINFORMATICS, V23, P2947, DOI 10.1093/bioinformatics/btm404
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
LEVITUS S, 1993, PROG OCEANOGR, V31, P245, DOI 10.1016/0079-6611(93)90003-V
Li Q, 2021, CRIT REV BIOTECHNOL, V41, P953, DOI 10.1080/07388551.2021.1898330
Lloyd CC., 2024, EGUsphere, V2024, P1, DOI [DOI 10.5194/EGUSPHERE-2024-615, 10.5194/egusphere-2024-615]
Lombard V, 2024, NUCLEIC ACIDS RES, V53, pD625, DOI 10.1093/nar/gkae1045
López-Mondéjar R, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.00829-22
López-Pérez M, 2014, BMC GENOMICS, V15, DOI 10.1186/1471-2164-15-483
Lopez-Sánchez R, 2024, WORLD J MICROB BIOT, V40, DOI 10.1007/s11274-024-03884-5
MacDonald LC, 2014, J BIOL CHEM, V289, P312, DOI 10.1074/jbc.M113.489195
Mathieu S, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26104-1
Mathieu S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159415
Matos MN, 2016, ENVIRON MICROBIOL, V18, P4471, DOI 10.1111/1462-2920.13433
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mitulla M, 2016, ENVIRON MICROBIOL, V18, P4369, DOI 10.1111/1462-2920.13314
Munson-McGee JH, 2022, NATURE, V612, P764, DOI 10.1038/s41586-022-05505-3
Ogura K, 2009, J BIOL CHEM, V284, P35572, DOI 10.1074/jbc.M109.068056
Oksanen Jari, 2024, CRAN
Pandey S, 2023, BIOCHEMISTRY-US, V62, P2775, DOI 10.1021/acs.biochem.3c00321
Pandey S, 2021, J BIOL CHEM, V297, DOI 10.1016/j.jbc.2021.101014
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
Pilgaard B, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/AEM.01819-21
Pilgaard B, 2021, J FUNGI, V7, DOI 10.3390/jof7020080
Priest T, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00324-7
Ribeiro AJM, 2020, J BIOL CHEM, V295, P314, DOI 10.1074/jbc.REV119.006289
Richter DJ, 2022, ELIFE, V11, DOI 10.7554/eLife.78129
Ronne ME, 2023, APPL ENVIRON MICROB, V89, DOI 10.1128/aem.01185-23
Rossi MF, 2017, EVOL BIOINFORM, V13, P1, DOI 10.1177/1176934317703401
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Schiener P, 2015, J APPL PHYCOL, V27, P363, DOI 10.1007/s10811-014-0327-1
Smith WO Jr, 2024, ANNU REV MAR SCI, V16, P417, DOI 10.1146/annurev-marine-022223-025031
Sosa OA, 2019, ENVIRON MICROBIOL, V21, P2402, DOI 10.1111/1462-2920.14628
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stoecker DK, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00292
Su Gang, 2014, Curr Protoc Bioinformatics, V47, DOI 10.1002/0471250953.bi0813s47
Sun CC, 2023, FRONT MICROBIOL, V14, DOI 10.3389/fmicb.2023.1180321
Sun XK, 2022, MAR DRUGS, V20, DOI 10.3390/md20040254
Sunagawa S, 2020, NAT REV MICROBIOL, V18, P428, DOI 10.1038/s41579-020-0364-5
Uchimura K, 2010, MAR BIOTECHNOL, V12, P526, DOI 10.1007/s10126-009-9237-7
van Rijssel M, 2000, J SEA RES, V43, P297, DOI 10.1016/S1385-1101(00)00013-7
Vandana, 2022, CARBOHYD POLYM, V291, DOI 10.1016/j.carbpol.2022.119536
Vásquez-Ponce F, 2017, ELECTRON J BIOTECHN, V28, P27, DOI 10.1016/j.ejbt.2017.05.001
Vazquez A, 1999, GENE, V232, P217, DOI 10.1016/S0378-1119(99)00119-5
Vernette C, 2022, NUCLEIC ACIDS RES, V50, pW516, DOI 10.1093/nar/gkac420
Villarreal-Chiu JF, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00019
Vorobev A, 2020, GENOME RES, V30, P647, DOI 10.1101/gr.253070.119
Wang B, 2021, BIOCHEM BIOPH RES CO, V547, P111, DOI 10.1016/j.bbrc.2021.02.040
Waterhouse AM, 2009, BIOINFORMATICS, V25, P1189, DOI 10.1093/bioinformatics/btp033
Wei T, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.00326-21
Wei T, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01109-18
Xue Z, 2022, MAR DRUGS, V20, DOI 10.3390/md20030159
Yamasaki M, 2005, J MOL BIOL, V352, P11, DOI 10.1016/j.jmb.2005.06.075
Yoon HJ, 2001, J MOL BIOL, V307, P9, DOI 10.1006/jmbi.2000.4509
Yu Z, 2015, SCI REP-UK, V5, DOI 10.1038/srep12897
Zallot R, 2019, BIOCHEMISTRY-US, V58, P4169, DOI 10.1021/acs.biochem.9b00735
Zhang LZ, 2021, BIOTECHNOL BIOFUELS, V14, DOI 10.1186/s13068-021-02007-8
Zheng JF, 2023, NUCLEIC ACIDS RES, V51, pW115, DOI 10.1093/nar/gkad328
Zhou JH, 2024, CARBOHYD POLYM, V343, DOI 10.1016/j.carbpol.2024.122474
Zhu BW, 2015, BIOENGINEERED, V6, P125, DOI 10.1080/21655979.2015.1030543
NR 122
TC 0
Z9 0
PD MAR 8
PY 2025
VL 15
IS 1
AR 8111
DI 10.1038/s41598-025-92960-3
UT WOS:001439898100016
DA 2025-07-30
ER
PT J
AU Mohit, V
Archambault, P
Toupoint, N
Lovejoy, C
AF Mohit, Vani
Archambault, Philippe
Toupoint, Nicolas
Lovejoy, Connie
TI Phylogenetic Differences in Attached and Free-Living Bacterial
Communities in a Temperate Coastal Lagoon during Summer, Revealed via
High-Throughput 16S rRNA Gene Sequencing
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Most of what is known about coastal free-living and attached bacterial diversity is based on open coasts, with high particulate and nutrient riverine supply, terrestrial runoffs, and anthropogenic activities. The Magdalen Islands in the Gulf of St. Lawrence (Canada) are dominated by shallow lagoons with small, relatively pristine catchments and no freshwater input apart from rain. Such conditions provided an opportunity to investigate coastal free-living and attached marine bacterial diversity in the absence of confounding effects of steep freshwater gradients. We found significant differences between the two communities and marked temporal patterns in both. Taxonomic richness and diversity were greater in the attached than in the free-living community, increasing over summer, especially within the least abundant bacterial phyla. The highest number of reads fell within the SAR 11 clade (Pelagibacter, Alphaproteobacteria), which dominated free-living communities. The attached communities had deeper phylum-level diversity than the free-living fraction. Distance-based redundancy analysis indicated that the particulate organic matter (POM) concentration was the main variable separating early and late summer samples with salinity and temperature changes also significantly correlated to bacterial community structure. Our approach using high-throughput sequencing detected differences in free-living versus attached bacteria in the absence of riverine input, in keeping with the concept that marine attached communities are distinct from cooccurring free-living taxa. This diversity likely reflects the diverse microhabitats of available particles, implying that the total bacterial diversity in coastal systems is linked to particle supply and variability, with implications for understanding microbial biodiversity in marine systems.
C1 [Mohit, Vani; Lovejoy, Connie] Univ Laval, Dept Biol, Quebec Ocean, Quebec City, PQ G1K 7P4, Canada.
[Mohit, Vani; Lovejoy, Connie] Univ Laval, Inst Biol Integrat & Syst, Quebec City, PQ, Canada.
[Archambault, Philippe; Toupoint, Nicolas] UQAR, Inst Sci Mer ISMER, Rimouski, PQ, Canada.
RP Lovejoy, C (corresponding author), Univ Laval, Dept Biol, Quebec Ocean, Quebec City, PQ G1K 7P4, Canada.
EM connie.lovejoy@bio.ulaval.ca
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Aljanabi SM, 1997, NUCLEIC ACIDS RES, V25, P4692, DOI 10.1093/nar/25.22.4692
ALLDREDGE AL, 1986, LIMNOL OCEANOGR, V31, P68, DOI 10.4319/lo.1986.31.1.0068
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Allgaier M, 2006, AQUAT MICROB ECOL, V45, P115, DOI 10.3354/ame045115
ALMEIDA MA, 1992, MAR ECOL PROG SER, V89, P165, DOI 10.3354/meps089165
[Anonymous], 1972, FISHERIES RES BOARD
[Anonymous], 2002, CANOCO REFERENCE MAN
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Becquevort S, 1998, AQUAT MICROB ECOL, V14, P39, DOI 10.3354/ame014039
Belzile C, 2008, J MARINE SYST, V74, P946, DOI 10.1016/j.jmarsys.2007.12.010
Ben-Jacob E, 2006, J R SOC INTERFACE, V3, P197, DOI 10.1098/rsif.2005.0089
Blazina M, 2009, ECOL INDIC, V9, P1265, DOI 10.1016/j.ecolind.2009.04.005
BYERS SC, 1978, HYDROBIOLOGIA, V58, P43, DOI 10.1007/BF00018894
Callier MD, 2007, MAR ECOL PROG SER, V348, P103, DOI 10.3354/meps07034
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chang J, 1996, MAR ECOL PROG SER, V140, P199, DOI 10.3354/meps140199
Clarke K., 2001, Change in Marine Communities, V2
Clarke KR., 2006, PRIMER VERSION 7 USE
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Comeau AM, 2012, SCI REP-UK, V2, DOI 10.1038/srep00604
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Danovaro R, 2007, ESTUAR COAST SHELF S, V75, P4, DOI 10.1016/j.ecss.2007.02.030
del Giorgio PA, 2002, LIMNOL OCEANOGR, V47, P471, DOI 10.4319/lo.2002.47.2.0471
Díez B, 2001, APPL ENVIRON MICROB, V67, P2932, DOI 10.1128/AEM.67.7.2932-2941.2001
Drancourt M, 2000, J CLIN MICROBIOL, V38, P3623, DOI 10.1128/JCM.38.10.3623-3630.2000
DRAPEAU G, 1988, LECT NOTES COASTAL E, P226
Drouin A, 2012, OECOLOGIA, V168, P491, DOI 10.1007/s00442-011-2086-x
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Fu FX, 2007, J PHYCOL, V43, P485, DOI 10.1111/j.1529-8817.2007.00355.x
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Galand PE, 2008, LIMNOL OCEANOGR, V53, P813, DOI 10.4319/lo.2008.53.2.0813
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
GRANT C, 2007, 2772 FISH OC CAN
Grossart HP, 2006, ENVIRON MICROBIOL, V8, P1074, DOI 10.1111/j.1462-2920.2006.00999.x
Grossart HP, 2007, FEMS MICROBIOL LETT, V266, P194, DOI 10.1111/j.1574-6968.2006.00520.x
Grossart HP, 2010, ENV MICROBIOL REP, V2, P706, DOI 10.1111/j.1758-2229.2010.00179.x
Grossart HP, 1998, AQUAT MICROB ECOL, V15, P127, DOI 10.3354/ame015127
Grossart HP, 2003, APPL ENVIRON MICROB, V69, P3500, DOI 10.1128/AEM.69.6.3500-3509.2003
Guiry M.D., 2013, ALGAEBASE
GUYONDET T, 2007, THESIS U QUEBECC RIM
Guyondet T, 2008, ESTUAR COAST SHELF S, V77, P396, DOI 10.1016/j.ecss.2007.10.009
Hall T. A., NUCL ACIDS S SER, V41, P95
Harkes MP, 2010, ECOL ENG, V36, P112, DOI 10.1016/j.ecoleng.2009.01.004
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hollibaugh JT, 2000, AQUAT MICROB ECOL, V21, P103, DOI 10.3354/ame021103
Hong SH, 2006, P NATL ACAD SCI USA, V103, P117, DOI 10.1073/pnas.0507245102
JACOBSEN TR, 1984, B MAR SCI, V35, P495
Jing HM, 2012, J PLANKTON RES, V34, P700, DOI 10.1093/plankt/fbs043
Keselman HJ, 2002, BRIT J MATH STAT PSY, V55, P27, DOI 10.1348/000711002159680
Kiorboe T, 2002, APPL ENVIRON MICROB, V68, P3996, DOI 10.1128/AEM.68.8.3996-4006.2002
Kjerfve B, 1994, ELSEVIER OCEANOGRAPH, V60
Kormas KA, 2001, MAR ECOL-P S Z N I, V22, P201, DOI 10.1046/j.1439-0485.2001.01720.x
Koutitonsky VG, 2002, ESTUAR COAST SHELF S, V54, P833, DOI 10.1006/ecss.2001.0860
KOUTITONSKY VG, 2006, RAPPORT RECHERCHE DE, V151, P73
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Kuczynski Justin, 2011, Curr Protoc Bioinformatics, VChapter 10, DOI [10.1002/9780471729259.mc01e05s27, 10.1002/0471250953.bi1007s36]
LaMontagne MG, 2003, MICROBIAL ECOL, V46, P228, DOI 10.1007/s00248-001-1072-y
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Lovejoy C, 1996, AQUAT MICROB ECOL, V10, P1, DOI 10.3354/ame010001
Malfatti F, 2009, AQUAT MICROB ECOL, V58, P1, DOI 10.3354/ame01355
Martinez J, 1996, AQUAT MICROB ECOL, V10, P223, DOI 10.3354/ame010223
McAnally WH, 2000, PROCEED MARINE SCI, V3, P19
McArdle BH, 2001, ECOLOGY, V82, P290, DOI 10.1890/0012-9658(2001)082[0290:FMMTCD]2.0.CO;2
Michotey V, 2012, MAR POLLUT BULL, V65, P525, DOI 10.1016/j.marpolbul.2012.01.009
Misic C, 2011, MAR ENVIRON RES, V72, P67, DOI 10.1016/j.marenvres.2011.05.006
Morán XAG, 2007, AQUAT MICROB ECOL, V46, P141, DOI 10.3354/ame046141
MURPHY J, 1962, ANAL CHIM ACTA, V26, P31
Nedashkovskaya OI, 2004, INT J SYST EVOL MICR, V54, P119, DOI 10.1099/ijs.0.02757-0
Nedashkovskaya OI, 2012, INT J SYST EVOL MICR, V62, P1450, DOI 10.1099/ijs.0.032219-0
Nielsen Kaare M., 2007, Environmental Biosafety Research, V6, P37, DOI 10.1051/ebr:2007031
Ortega-Retuerta E, 2013, BIOGEOSCIENCES, V10, P2747, DOI 10.5194/bg-10-2747-2013
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
POIRIER L, 1982, TRAVAUX PECHERIES QU
Pommier T, 2012, BIOL LETTERS, V8, P562, DOI 10.1098/rsbl.2011.0990
PRIEUR D, 1990, OCEANOGR MAR BIOL, V28, P277
Promerová M, 2012, MOL ECOL RESOUR, V12, P285, DOI 10.1111/j.1755-0998.2011.03082.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Quinn G.P., 2002, EXPT DESIGN DATA ANA, DOI DOI 10.1017/CBO9780511806384
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Richard M, 2006, CAN J FISH AQUAT SCI, V63, P1198, DOI 10.1139/F06-030
Riemann L, 2001, MICROB ECOL, V42, P274, DOI 10.1007/s00248-001-0018-8
RODEN EE, 1992, LIMNOL OCEANOGR, V37, P725, DOI 10.4319/lo.1992.37.4.0725
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
ROY S, 1991, CAN SPEC PUBL FISH A, V113, P219
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sorokin DY, 2005, SYST APPL MICROBIOL, V28, P679, DOI 10.1016/j.syapm.2005.05.006
Souchu P, 1991, ATMOS RES, V26, P543, DOI 10.1016/0169-8095(91)90043-V
Spring S, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004866
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
UNANUE M, 1992, MICROB ECOL, V23, P27, DOI 10.1007/BF00165905
Vallières C, 2008, J MARINE SYST, V74, P756, DOI 10.1016/j.jmarsys.2007.12.002
Vaughn CC, 2000, ECOGRAPHY, V23, P11, DOI 10.1034/j.1600-0587.2000.230102.x
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Volkman JK, 2002, J OCEANOGR, V58, P265, DOI 10.1023/A:1015809708632
Wang JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027597
Werner JJ, 2012, ISME J, V6, P94, DOI 10.1038/ismej.2011.82
WOOD ED, 1967, J MAR BIOL ASSOC UK, V47, P23, DOI 10.1017/S002531540003352X
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
Yu ZT, 2004, APPL ENVIRON MICROB, V70, P4800, DOI 10.1128/AEM.70.8.4800-4806.2004
Zhang R, 2007, FEMS MICROBIOL ECOL, V61, P496, DOI 10.1111/j.1574-6941.2007.00353.x
NR 116
TC 92
Z9 100
PD APR
PY 2014
VL 80
IS 7
BP 2071
EP 2083
DI 10.1128/AEM.02916-13
UT WOS:000332840700004
DA 2025-07-30
ER
PT J
AU Hwang, J
Park, SY
Park, M
Lee, S
Lee, TK
AF Hwang, Jinik
Park, So Yun
Park, Mirye
Lee, Sukchan
Lee, Taek-Kyun
TI Seasonal Dynamics and Metagenomic Characterization of Marine Viruses in
Goseong Bay, Korea
SO PLOS ONE
DT Article
AB Viruses are the most abundant biological entities in the oceans, and account for a significant amount of the genetic diversity of marine ecosystems. However, there is little detailed information about the biodiversity of viruses in marine environments. Rapid advances in metagenomics have enabled the identification of previously unknown marine viruses. We performed metagenomic profiling of seawater samples collected at 6 sites in Goseong Bay (South Sea, Korea) during the spring, summer, autumn, and winter of 2014. The results in-dicated the presence of highly diverse virus communities. The DNA libraries from samples collected during four seasons were sequenced using Illumina HiSeq 2000. The number of viral reads was 136,850 during March, 70,651 during June, 66,165 during September, and 111,778 during December. Species identification indicated that Pelagibacter phage HTVC010P, Ostreococcus lucimarinus OIV5 and OIV1, and Roseobacter phage SIO1 were the most common species in all samples. For viruses with at least 10 reads, there were 204 species during March, 189 during June, 170 during September, and 173 during December. Analysis of virus families indicated that the Myoviridae was the most common during all four seasons, and viruses in the Polyomaviridae were only present during March. Viruses in the Iridoviridae were only present during three seasons. Additionally, viruses in the Iridoviridae, Herpesviridae, and Poxviridae, which may affect fish and marine animals, appeared during different seasons. These results suggest that seasonal changes in temperature contribute to the dynamic structure of the viral community in the study area. The information presented here will be useful for comparative analyses with other marine viral communities.
C1 [Hwang, Jinik; Park, So Yun; Park, Mirye; Lee, Taek-Kyun] Korea Inst Ocean Sci & Technol, South Sea Environm Res Dept, Geoje, South Korea.
[Hwang, Jinik; Park, Mirye; Lee, Taek-Kyun] Korea Univ Sci & Technol, Marine Environm Sci, Daejeon, South Korea.
[Lee, Sukchan] Sungkyunkwan Univ, Dept Genet Engn, Suwon, South Korea.
RP Lee, TK (corresponding author), Korea Inst Ocean Sci & Technol, South Sea Environm Res Dept, Geoje, South Korea.
EM tklee@kiost.ac.kr
CR Adams HE, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00250
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Bench SR, 2007, APPL ENVIRON MICROB, V73, P7629, DOI 10.1128/AEM.00938-07
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2013, ISME J, V7, P1738, DOI 10.1038/ismej.2013.67
Carreira C, 2015, APPL ENVIRON MICROB, V81, P2149, DOI 10.1128/AEM.02863-14
Chow CET, 2015, ANNU REV VIROL, V2, P41, DOI 10.1146/annurev-virology-031413-085540
Danovaro R, 2001, APPL ENVIRON MICROB, V67, P1384, DOI 10.1128/AEM.67.3.1384-1387.2001
Davison AJ, 2005, J GEN VIROL, V86, P41, DOI 10.1099/vir.0.80382-0
Davison AJ, 2010, VET MICROBIOL, V143, P52, DOI 10.1016/j.vetmic.2010.02.014
Dégremont L, 2013, AQUACULTURE, V416, P129, DOI 10.1016/j.aquaculture.2013.09.011
Díaz-Muñoz SL, 2014, ADV APPL MICROBIOL, V89, P135, DOI 10.1016/B978-0-12-800259-9.00004-4
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Harvell CD, 1999, SCIENCE, V285, P1505, DOI 10.1126/science.285.5433.1505
He JG, 2002, AQUACULTURE, V204, P11, DOI 10.1016/S0044-8486(01)00639-1
Hewson I, 2012, APPL ENVIRON MICROB, V78, P6583, DOI 10.1128/AEM.01705-12
HICKS BD, 1987, J WILDLIFE DIS, V23, P1, DOI 10.7589/0090-3558-23.1.1
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Hyatt AD, 2000, ARCH VIROL, V145, P301, DOI 10.1007/s007050050025
Ilouze M, 2011, ECOL RES, V26, P885, DOI 10.1007/s11284-010-0694-2
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kawakami H, 2002, FISH PATHOL, V37, P45, DOI 10.3147/jsfp.37.45
Kristensen DM, 2010, TRENDS MICROBIOL, V18, P11, DOI 10.1016/j.tim.2009.11.003
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Lara E, 2013, AQUAT MICROB ECOL, V70, P17, DOI 10.3354/ame01636
Lim YW, 2013, J CYST FIBROS, V12, P154, DOI 10.1016/j.jcf.2012.07.009
Sanmartín ML, 2016, VIRUS RES, V217, P55, DOI 10.1016/j.virusres.2016.01.023
Lutze W., 1990, Nature, V347, P4
Middelboe M, 2000, MICROBIAL ECOL, V40, P114
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Ng SB, 2009, NATURE, V461, P272, DOI 10.1038/nature08250
Proctor LM, 1990, VIRAL MORTALITY OF M
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Rosario K, 2009, J GEN VIROL, V90, P2418, DOI 10.1099/vir.0.012955-0
Shi C, 2004, J FISHERY SCI CHINA, V12, P588
SIMPSON VR, 1994, VET REC, V134, P292, DOI 10.1136/vr.134.12.292
SUTTLE CA, 1994, MICROBIAL ECOL, V28, P237, DOI 10.1007/BF00166813
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thurber RLV, 2008, P NATL ACAD SCI USA, V105, P18413, DOI 10.1073/pnas.0808985105
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weitz Joshua S, 2012, F1000 Biol Rep, V4, P17
Willner D, 2013, BIOESSAYS, V35, P436, DOI 10.1002/bies.201200174
Wright EP, 2015, VET OPHTHALMOL, V18, P148, DOI 10.1111/vop.12235
Yu Donghyeon, 2013, Genomics & Informatics, V11, P200, DOI 10.5808/GI.2013.11.4.200
Zhu BT, 2005, WATER RES, V39, P5153, DOI 10.1016/j.watres.2005.09.035
NR 50
TC 25
Z9 27
PD JAN 25
PY 2017
VL 12
IS 1
AR e0169841
DI 10.1371/journal.pone.0169841
UT WOS:000396167300064
DA 2025-07-30
ER
PT J
AU Sun, FL
Xia, XM
Simon, M
Wang, YS
Zhao, H
Sun, CC
Cheng, H
Wang, YT
Hu, SB
Fei, J
Wu, ML
AF Sun, Fulin
Xia, Xiaomin
Simon, Meinhard
Wang, Youshao
Zhao, Hui
Sun, Cuici
Cheng, Hao
Wang, Yutu
Hu, Shuibo
Fei, Jiao
Wu, Meilin
TI Anticyclonic Eddy Driving Significant Changes in Prokaryotic and
Eukaryotic Communities in the South China Sea
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Mesoscale eddies play an important role in ocean energy and material transport. However, the effect of eddies on bacterial and eukaryotic community and their ecological effects remains unclear, regarding anticyclonic eddies (ACE). In this study, bacterial and eukaryotic community composition was examined across an ACE in the South China Sea, using high-throughput sequencing of the 16S rRNA and 18S rRNA gene. Environmental variables reflected the hydrographic characteristics of the ACE, which enhanced bacterial diversity and eukaryotic diversity in most water layers, relative to adjacent regions. Principal component analysis (PCoA) showed that bacterial and eukaryotic communities had certain different compositions between inside and outside the eddy above 75 m water. An obvious effect of the ACE was the increase in abundance and depth distribution of small photosynthetic and heterotrophic bacteria, such as SAR11, Prochlorococcus, Rhodospirillales and Oceanospirillales. While ACE decreased the relative abundance of nutrient-rich phytoplankton (Bacillariophyta and Mamiellophyceae), resulted in more growth space for other eukaryotes that prefer oligotrophic environment (especially Fungi, Dictyochophyceae, and Synurophyceae). Canonical correlation analysis (CCA) showed temperature, salinity, nitrate, phosphate and nitrite had significantly affected on microbial community. The special environment of ACE (especially temperature) shaped the composition of its specific microbe. This study shed important light on the effect of ACEs on environmental conditions to impact marine ecosystem structure.
C1 [Sun, Fulin; Wang, Youshao; Sun, Cuici; Cheng, Hao; Wang, Yutu; Fei, Jiao; Wu, Meilin] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Peoples R China.
[Sun, Fulin; Wang, Youshao; Sun, Cuici; Wang, Yutu] Chinese Acad Sci, South China Sea Inst Oceanol, Daya Bay Marine Biol Res Stn, Shenzhen, Peoples R China.
[Sun, Fulin; Xia, Xiaomin; Wang, Youshao; Sun, Cuici; Cheng, Hao; Wang, Yutu; Fei, Jiao; Wu, Meilin] Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou, Peoples R China.
[Sun, Fulin; Xia, Xiaomin; Wang, Youshao; Sun, Cuici; Cheng, Hao; Wang, Yutu; Fei, Jiao; Wu, Meilin] South China Sea Inst Oceanol, Sanya Inst Oceanol, Sanya, Peoples R China.
[Xia, Xiaomin] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangzhou, Peoples R China.
[Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.
[Zhao, Hui] Guangdong Ocean Univ, Coll Chem & Environm Sci, Zhanjiang, Peoples R China.
[Hu, Shuibo] Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen, Peoples R China.
[Hu, Shuibo] Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen, Peoples R China.
[Hu, Shuibo] Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen, Peoples R China.
RP Wu, ML (corresponding author), Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Peoples R China.; Wu, ML (corresponding author), Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou, Peoples R China.; Wu, ML (corresponding author), South China Sea Inst Oceanol, Sanya Inst Oceanol, Sanya, Peoples R China.
EM mlwu@scsio.ac.cn
CR Amaral-Zettler LA, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006372
Baltar F, 2010, ISME J, V4, P975, DOI 10.1038/ismej.2010.33
Benitez-Nelson CR, 2007, SCIENCE, V316, P1017, DOI 10.1126/science.1136221
Bidigare RR, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016393
Billerbeck S, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.63, 10.1038/NMICROBIOL.2016.63]
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Chelton DB, 2011, PROG OCEANOGR, V91, P167, DOI 10.1016/j.pocean.2011.01.002
Chen YLL, 2007, J OCEANOGR, V63, P671, DOI 10.1007/s10872-007-0059-9
Chow CH, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.717576
Christaki U, 2011, BIOGEOSCIENCES, V8, P1839, DOI 10.5194/bg-8-1839-2011
Dasilva CR, 2014, J PLANKTON RES, V36, P344, DOI 10.1093/plankt/fbt123
El-Swais H, 2015, ENVIRON MICROBIOL, V17, P3642, DOI 10.1111/1462-2920.12629
Fernández C, 2008, J MARINE SYST, V71, P46, DOI 10.1016/j.jmarsys.2007.06.003
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fong AA, 2008, ISME J, V2, P663, DOI 10.1038/ismej.2008.22
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Fuller NJ, 2005, LIMNOL OCEANOGR, V50, P363, DOI 10.4319/lo.2005.50.1.0363
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Harke MJ, 2021, ENVIRON MICROBIOL, V23, P4807, DOI 10.1111/1462-2920.15677
Kim D, 2012, ICES J MAR SCI, V69, P23, DOI 10.1093/icesjms/fsr178
Klein P, 2009, ANNU REV MAR SCI, V1, P351, DOI 10.1146/annurev.marine.010908.163704
Korb RE, 2004, DEEP-SEA RES PT I, V51, P721, DOI 10.1016/j.dsr.2004.02.006
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Landry MR, 1998, DEEP-SEA RES PT II, V45, P2353, DOI 10.1016/S0967-0645(98)00074-5
Lasternas S, 2013, BIOGEOSCIENCES, V10, P2129, DOI 10.5194/bg-10-2129-2013
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lewandowska A, 2010, MAR ECOL PROG SER, V405, P101, DOI 10.3354/meps08520
Li L, 1998, DEEP-SEA RES PT I, V45, P1469, DOI 10.1016/S0967-0637(98)00026-0
Li SF, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz057
Lu Y, 2022, MICROB ECOL, V83, P823, DOI 10.1007/s00248-021-01816-6
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martin AP, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2003JC001841
McGillicuddy DJ, 1998, NATURE, V394, P263, DOI 10.1038/28367
Mizobata K, 2002, PROG OCEANOGR, V55, P65, DOI 10.1016/S0079-6611(02)00070-8
Mohan AP, 2020, MAR BIOL RES, V16, P683, DOI 10.1080/17451000.2021.1872795
Morán XAG, 2010, GLOBAL CHANGE BIOL, V16, P1137, DOI 10.1111/j.1365-2486.2009.01960.x
Ning X, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002365
Nishino S, 2018, GEOPHYS RES LETT, V45, P11284, DOI 10.1029/2018GL079659
Oschlies A, 1998, NATURE, V394, P266, DOI 10.1038/28373
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Sangrà P, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002526
Stefanidou N, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02444
Sun FL, 2021, ECOTOXICOLOGY, V30, P1808, DOI 10.1007/s10646-021-02455-w
Sun FL, 2020, ESTUAR COAST SHELF S, V237, DOI 10.1016/j.ecss.2020.106698
Sun FL, 2020, AQUACULTURE, V520, DOI 10.1016/j.aquaculture.2019.734742
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sweeney EN, 2003, DEEP-SEA RES PT II, V50, P3017, DOI 10.1016/j.dsr2.2003.07.008
Thompson LR, 2017, ISME J, V11, P138, DOI 10.1038/ismej.2016.99
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Wang L, 2018, J GEOPHYS RES-OCEANS, V123, P7632, DOI 10.1029/2017JC013623
Wang Q, 2015, J GEOPHYS RES-OCEANS, V120, P517, DOI 10.1002/2014JC009814
Woodward EMS, 2001, DEEP-SEA RES PT II, V48, P775, DOI 10.1016/S0967-0645(00)00097-7
Xiu P, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006800
Yang YK, 2019, J GEOPHYS RES-OCEANS, V124, P6673, DOI 10.1029/2018JC014847
Zhang Y, 2011, RES MICROBIOL, V162, P320, DOI 10.1016/j.resmic.2010.12.006
Zhang Y, 2009, AQUAT MICROB ECOL, V56, P65, DOI 10.3354/ame01324
Zhang Y, 2018, ECOL EVOL, V8, P4932, DOI 10.1002/ece3.4064
Zhou KB, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2020JC016372
Zhou KB, 2013, EARTH PLANET SC LETT, V381, P198, DOI 10.1016/j.epsl.2013.07.039
NR 60
TC 12
Z9 13
PD FEB 24
PY 2022
VL 9
AR 773548
DI 10.3389/fmars.2022.773548
UT WOS:000770802000001
DA 2025-07-30
ER
PT J
AU Wang, MM
Ma, YY
Feng, CH
Cai, L
Li, W
AF Wang, Mengmeng
Ma, Yiyuan
Feng, Chunhui
Cai, Lei
Li, Wei
TI Diversity of Pelagic and Benthic Bacterial Assemblages in the Western
Pacific Ocean
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Despite numerous studies on marine prokaryotes, the vertical distribution patterns of bacterial community, either on the taxonomic composition or the functional structure, remains relatively unexplored. Using HiSeq-derived 16S rRNA data, the depth-related distribution patterns of taxonomic diversity and functional structure predicted from diversity data in the water column and sediments of the Western Pacific Ocean were explored. The OTU richness declined along the water column after peaking between 100 to 200 m deep. Relative abundance of Cyanobacteria and SAR11 decreased significantly with depth, while Actinobacteria and Gammaproteobacteria increased. This clearly mirrors the vertical distribution pattern of the predicted functional composition with the shift between phototrophic to chemoheterotrophic groups from the surface to the deeper layers. In terms of community composition and functional structure, the epipelagic zone differed from other deeper ones (i.e., meso-, bathy-, and abyssopelagic zones) where no obvious differences were detected. For the epipelagic zone, temperature, dissolved oxygen, and salinity were recognized as the crucial factors shaping both community composition and the functional structure of bacteria. Compared with water samples, benthic sediment samples harbored unexpectedly higher read abundance of Proteobacteria, presenting distinguishable taxonomic and functional compositions. This study provides novel knowledge on the vertical distribution of bacterial taxonomic and functional compositions in the western Pacific.
C1 [Wang, Mengmeng; Ma, Yiyuan; Li, Wei] Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
[Wang, Mengmeng; Cai, Lei] Chinese Acad Sci, Inst Microbiol, State Key Lab Mycol, Beijing, Peoples R China.
[Feng, Chunhui] State Ocean Adm, Beihai Ocean Engn Survey Res Inst, Qingdao, Peoples R China.
RP Li, W (corresponding author), Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
EM liwei01@ouc.edu.cn
CR Agogue H., 2012, FEMS MICROBIOL ECOL, V24, P27, DOI [10.1111/j.1574-6941.1997.tb00420.x, DOI 10.1111/J.1574-6941.1997.TB00420.X]
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Bienhold C, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0148016
Bochdansky AB, 2017, ISME J, V11, P362, DOI 10.1038/ismej.2016.113
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Collins RE, 2010, ENVIRON MICROBIOL, V12, P1828, DOI 10.1111/j.1462-2920.2010.02179.x
Cuil GJ, 2019, PEERJ, V7, DOI 10.7717/peerj.6961
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Durbin AM, 2011, ENVIRON MICROBIOL, V13, P3219, DOI 10.1111/j.1462-2920.2011.02544.x
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
FAGER EW, 1963, SCIENCE, V140, P453, DOI 10.1126/science.140.3566.453
Frank AH, 2016, ENVIRON MICROBIOL, V18, P2052, DOI 10.1111/1462-2920.13237
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gärtner A, 2011, ANTON LEEUW INT J G, V100, P421, DOI 10.1007/s10482-011-9599-5
Giering SLC, 2014, NATURE, V507, P480, DOI 10.1038/nature13123
Guerrero-Feijóo E, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw224
Hamdan LJ, 2013, ISME J, V7, P685, DOI 10.1038/ismej.2012.143
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Kaiser K, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007141
Kembel SW, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023214
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Lemos LN, 2019, MOL ECOL, V28, P4259, DOI 10.1111/mec.15208
Li Y, 2014, BIOGEOSCIENCES, V11, P2531, DOI 10.5194/bg-11-2531-2014
Liang YT, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw238
Liu JW, 2015, MICROB ECOL, V70, P105, DOI 10.1007/s00248-014-0553-8
Lonborg C, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00090
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martiny JBH, 2015, SCIENCE, V350, DOI 10.1126/science.aac9323
Masella AP, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-31
Mestre M, 2017, MOL ECOL, V26, P6827, DOI 10.1111/mec.14421
Meyer JL, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02244
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nagai N, 2015, PLANKTON BENTHOS RES, V10, P141, DOI 10.3800/pbr.10.141
NOAA, 2013, WORLD OCEAN DATABASE, DOI DOI 10.7289/V5NZ85MT
Oksanen J., 2015, R Doc, V43
Pelve EA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02269
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
REINIGER RF, 1968, DEEP-SEA RES, V15, P185, DOI 10.1016/0011-7471(68)90040-5
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Roder C, 2014, ISME J, V8, P31, DOI 10.1038/ismej.2013.127
Sánchez-Osuna M, 2017, ENVIRON MICROBIOL, V19, P3465, DOI 10.1111/1462-2920.13826
Schauer R, 2010, ISME J, V4, P159, DOI 10.1038/ismej.2009.106
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Smedile F, 2014, MAR GENOM, V17, P1, DOI 10.1016/j.margen.2014.06.001
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tseng CH, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1434-3
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Wang K, 2015, ENVIRON MICROBIOL, V17, P3898, DOI 10.1111/1462-2920.12884
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
Wu JY, 2013, MAR DRUGS, V11, P3777, DOI 10.3390/md11103777
YAYANOS AA, 1995, ANNU REV MICROBIOL, V49, P777, DOI 10.1146/annurev.mi.49.100195.004021
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
Zorz J, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00281
NR 66
TC 18
Z9 20
PD SEP 10
PY 2020
VL 11
AR 1730
DI 10.3389/fmicb.2020.01730
UT WOS:000575378200001
DA 2025-07-30
ER
PT J
AU Lindh, MV
Sjöstedt, J
Ekstam, B
Casini, M
Lundin, D
Hugerth, LW
Hu, YOO
Andersson, AF
Andersson, A
Legrand, C
Pinhassi, J
AF Lindh, Markus V.
Sjostedt, Johanna
Ekstam, Borje
Casini, Michele
Lundin, Daniel
Hugerth, Luisa W.
Hu, Yue O. O.
Andersson, Anders F.
Andersson, Agneta
Legrand, Catherine
Pinhassi, Jarone
TI Metapopulation theory identifies biogeographical patterns among core and
satellite marine bacteria scaling from tens to thousands of kilometers
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Metapopulation theory developed in terrestrial ecology provides applicable frameworks for interpreting the role of local and regional processes in shaping species distribution patterns. Yet, empirical testing of metapopulation models on microbial communities is essentially lacking. We determined regional bacterioplankton dynamics from monthly transect sampling in the Baltic Sea Proper using 16S rRNA gene sequencing. A strong positive trend was found between local relative abundance and occupancy of populations. Notably, the occupancy-frequency distributions were significantly bimodal with a satellite mode of rare endemic populations and a core mode of abundant cosmopolitan populations (e.g. Synechococcus, SAR11 and SAR86 clade members). Temporal changes in population distributions supported several theoretical frameworks. Still, bimodality was found among bacterioplankton communities across the entire Baltic Sea, and was also frequent in globally distributed datasets. Datasets spanning waters with widely different physicochemical characteristics or environmental gradients typically lacked significant bimodal patterns. When such datasets were divided into subsets with coherent environmental conditions, bimodal patterns emerged, highlighting the importance of positive feedbacks between local abundance and occupancy within specific biomes. Thus, metapopulation theory applied to microbial biogeography can provide novel insights into the mechanisms governing shifts in biodiversity resulting from natural or anthropogenically induced changes in the environment.
C1 [Lindh, Markus V.; Sjostedt, Johanna; Lundin, Daniel; Legrand, Catherine; Pinhassi, Jarone] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, SE-39182 Kalmar, Sweden.
[Ekstam, Borje] Linnaeus Univ, Dept Biol & Environm Sci, SE-39182 Kalmar, Sweden.
[Casini, Michele] Swedish Univ Agr Sci, Inst Marine Res, Dept Aquat Resources, SE-45330 Lysekil, Sweden.
[Hugerth, Luisa W.; Hu, Yue O. O.; Andersson, Anders F.] KTH Royal Inst Technol, Sci Life Lab, Sch Biotechnol, SE-10691 Stockholm, Sweden.
[Andersson, Agneta] Umea Univ, Dept Ecol & Environm Sci, SE-90187 Umea, Sweden.
[Lindh, Markus V.] Lund Univ, Dept Biol, SE-22362 Lund, Sweden.
[Sjostedt, Johanna] Lund Univ, Dept Biol Aquat Ecol, SE-22362 Lund, Sweden.
[Sjostedt, Johanna] Tech Univ Denmark, Inst Aquat Resources, Ctr Ocean Life, DK-2900 Charlottenlund, Denmark.
RP Pinhassi, J (corresponding author), Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst EEMiS, SE-39182 Kalmar, Sweden.
EM jarone.pinhassi@lnu.se
CR Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
[Anonymous], 2010, LIFE WORLDS OCEANS D
[Anonymous], VEGAN COMMUNITY ECOL
[Anonymous], ECOLOGY
Bertos-Fortis M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00625
Blackburn TM, 2006, J ANIM ECOL, V75, P1426, DOI 10.1111/j.1365-2656.2006.01167.x
BROWN JH, 1984, AM NAT, V124, P255, DOI 10.1086/284267
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Díaz-Gil C, 2014, BOREAL ENVIRON RES, V19, P323
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Economo EP, 2008, ECOL LETT, V11, P52, DOI 10.1111/j.1461-0248.2007.01126.x
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Finlay BJ, 2002, SCIENCE, V296, P1061, DOI 10.1126/science.1070710
Finlay BJ, 1999, NATURE, V400, P828, DOI 10.1038/23616
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Gaston KJ, 2000, J APPL ECOL, V37, P39, DOI 10.1046/j.1365-2664.2000.00485.x
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Gibbons SM, 2013, P NATL ACAD SCI USA, V110, P4651, DOI 10.1073/pnas.1217767110
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
GOTELLI NJ, 1991, AM NAT, V138, P768, DOI 10.1086/285249
HANSKI I, 1982, OIKOS, V38, P210, DOI 10.2307/3544021
HANSKI I, 1993, AM NAT, V142, P17, DOI 10.1086/285527
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Harrison S, 2008, ECOL LETT, V11, P969, DOI 10.1111/j.1461-0248.2008.01210.x
He Y, 2015, MICROBIOME, V3, DOI 10.1186/s40168-015-0081-x
Heino J, 2006, FRESHWATER BIOL, V51, P1879, DOI 10.1111/j.1365-2427.2006.01624.x
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hu YOO, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00679
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Lawton JH, 1999, OIKOS, V84, P177, DOI 10.2307/3546712
Legrand C, 2015, AMBIO, V44, pS427, DOI 10.1007/s13280-015-0662-8
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
LEVIN SA, 1974, AM NAT, V108, P207, DOI 10.1086/282900
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Lindström ES, 2012, ENV MICROBIOL REP, V4, P1, DOI 10.1111/j.1758-2229.2011.00257.x
Logue JB, 2011, TRENDS ECOL EVOL, V26, P482, DOI 10.1016/j.tree.2011.04.009
Logue JB, 2016, ISME J, V10, P533, DOI 10.1038/ismej.2015.131
Magurran AE, 2003, NATURE, V422, P714, DOI 10.1038/nature01547
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McGeoch MA, 2002, BIOL REV, V77, P311, DOI 10.1017/S1464793101005887
Mehranvar L, 2001, OECOLOGIA, V127, P131, DOI 10.1007/s004420000574
MITCHELLOLDS T, 1987, EVOLUTION, V41, P1149, DOI 10.1111/j.1558-5646.1987.tb02457.x
MORSE DR, 1988, ECOL ENTOMOL, V13, P25, DOI 10.1111/j.1365-2311.1988.tb00330.x
Östman Ö, 2010, ECOL LETT, V13, P118, DOI 10.1111/j.1461-0248.2009.01413.x
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
PRESTON FW, 1948, ECOLOGY, V29, P254, DOI 10.2307/1930989
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
R Development Core Team, 2014, R: a language and environment for statistical computing
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Ricklefs RE, 2008, AM NAT, V172, P741, DOI 10.1086/593002
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schlitzer R., 2015, OCEAN DATA VIEW
Schmitt S, 2012, ISME J, V6, P564, DOI 10.1038/ismej.2011.116
Sloan WT, 2006, ENVIRON MICROBIOL, V8, P732, DOI 10.1111/j.1462-2920.2005.00956.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Soininen J, 2005, J BIOGEOGR, V32, P1971, DOI 10.1111/j.1365-2699.2005.01342.x
Sul WJ, 2013, P NATL ACAD SCI USA, V110, P2342, DOI 10.1073/pnas.1212424110
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
TOKESHI M, 1992, RES POPUL ECOL, V34, P249, DOI 10.1007/BF02514796
Unterseher M, 2011, MOL ECOL, V20, P275, DOI 10.1111/j.1365-294X.2010.04948.x
Wardle DA, 2011, SCIENCE, V332, P1273, DOI 10.1126/science.1197479
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
WILLIAMS CB, 1950, J ECOL, V38, P107, DOI 10.2307/2256527
Witkowski A, 2005, QUATERN INT, V130, P97, DOI 10.1016/j.quaint.2004.04.035
Woodcock S, 2006, ECOL LETT, V9, P805, DOI 10.1111/j.1461-0248.2006.00929.x
Zinger L, 2014, MOL ECOL, V23, P954, DOI 10.1111/mec.12640
NR 74
TC 28
Z9 30
PD MAR
PY 2017
VL 19
IS 3
BP 1222
EP 1236
DI 10.1111/1462-2920.13650
UT WOS:000397525100031
DA 2025-07-30
ER
PT J
AU Parsons, RJ
Nelson, CE
Carlson, CA
Denman, CC
Andersson, AJ
Kledzik, AL
Vergin, KL
McNally, SP
Treusch, AH
Giovannoni, SJ
AF Parsons, Rachel J.
Nelson, Craig E.
Carlson, Craig A.
Denman, Carmen C.
Andersson, Andreas J.
Kledzik, Andrew L.
Vergin, Kevin L.
McNally, Sean P.
Treusch, Alexander H.
Giovannoni, Stephen J.
TI Marine bacterioplankton community turnover within seasonally hypoxic
waters of a subtropical sound: Devil's Hole, Bermuda
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Understanding bacterioplankton community dynamics in coastal hypoxic environments is relevant to global biogeochemistry because coastal hypoxia is increasing worldwide. The temporal dynamics of bacterioplankton communities were analysed throughout the illuminated water column of Devil's Hole, Bermuda during the 6-week annual transition from a strongly stratified water column with suboxic and high-pCO(2) bottom waters to a fully mixed and ventilated state during 2008. A suite of culture-independent methods provided a quantitative spatiotemporal characterization of bacterioplankton community changes, including both direct counts and rRNA gene sequencing. During stratification, the surface waters were dominated by the SAR11 clade of Alphaproteobacteria and the cyanobacterium Synechococcus. In the suboxic bottom waters, cells from the order Chlorobiales prevailed, with gene sequences indicating members of the genera Chlorobium and Prosthecochloris - anoxygenic photoautotrophs that utilize sulfide as a source of electrons for photosynthesis. Transitional zones of hypoxia also exhibited elevated levels of methane- and sulfur-oxidizing bacteria relative to the overlying waters. The abundance of both Thaumarcheota and Euryarcheota were elevated in the suboxic bottom waters (>10(9) cells l(-1)). Following convective mixing, the entire water column returned to a community typical of oxygenated waters, with Euryarcheota only averaging 5% of cells, and Chlorobiales and Thaumarcheota absent.
C1 [Parsons, Rachel J.; Carlson, Craig A.; Andersson, Andreas J.; McNally, Sean P.] BIOS, St Georges, Bermuda.
[Nelson, Craig E.; Carlson, Craig A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Nelson, Craig E.; Carlson, Craig A.] Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
[Nelson, Craig E.] Univ Hawaii Manoa, Dept Oceanog, Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
[Denman, Carmen C.; Vergin, Kevin L.; Treusch, Alexander H.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Denman, Carmen C.] London Sch Hyg & Trop Med, London WC1, England.
[Andersson, Andreas J.] Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92103 USA.
[Kledzik, Andrew L.] Florida Inst Technol, Dept Marine & Environm Syst, Melbourne, FL 32901 USA.
[McNally, Sean P.] Univ Rhode Isl, Coll Environm & Life Sci, Kingston, RI 02881 USA.
[Treusch, Alexander H.] Univ Southern Denmark, Nord Ctr Earth Evolut, Dept Biol, Odense, Denmark.
RP Parsons, RJ (corresponding author), BIOS, GE 01, St Georges, Bermuda.
EM rachel.parsons@bios.edu
CR AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
Andersson AJ, 2007, AQUAT GEOCHEM, V13, P237, DOI 10.1007/s10498-007-9018-8
Belmar L, 2011, FEMS MICROBIOL ECOL, V78, P314, DOI 10.1111/j.1574-6941.2011.01159.x
Beman JM, 2008, ISME J, V2, P429, DOI 10.1038/ismej.2007.118
Brochier-Armanet C, 2008, NAT REV MICROBIOL, V6, P245, DOI 10.1038/nrmicro1852
Brown F, 1980, THESIS NW U
Brown F., 1978, MIXING PROCESSES BER, V2, P10
Brune A, 2000, FEMS MICROBIOL REV, V24, P691, DOI 10.1016/S0168-6445(00)00054-1
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Casey JR, 2009, AQUAT MICROB ECOL, V58, P31, DOI 10.3354/ame01348
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Crump BC, 2007, APPL ENVIRON MICROB, V73, P6802, DOI 10.1128/AEM.00648-07
Damsté JSS, 2002, APPL ENVIRON MICROB, V68, P2997, DOI 10.1128/AEM.68.6.2997-3002.2002
Danovaro R, 2000, APPL ENVIRON MICROB, V66, P1857, DOI 10.1128/AEM.66.5.1857-1861.2000
DeLong EF, 1999, APPL ENVIRON MICROB, V65, P5554
Diaz RJ, 2008, SCIENCE, V321, P926, DOI 10.1126/science.1156401
Dolan JR, 2005, AQUAT MICROB ECOL, V41, P39, DOI 10.3354/ame041039
Durisch-Kaiser E, 2005, APPL ENVIRON MICROB, V71, P8099, DOI 10.1128/AEM.71.12.8099-8106.2005
Fenchel T, 2012, BACTERIAL BIOGEOCHEMISTRY: THE ECOPHYSIOLOGY OF MINERAL CYCLING, 3RD EDITION, P1, DOI 10.1016/B978-0-12-415836-8.00001-3
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Francis CA, 2007, ISME J, V1, P19, DOI 10.1038/ismej.2007.8
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Howarth R, 2011, FRONT ECOL ENVIRON, V9, P18, DOI 10.1890/100008
IVERSEN N, 1985, LIMNOL OCEANOGR, V30, P944, DOI 10.4319/lo.1985.30.5.0944
Johnston DT, 2009, P NATL ACAD SCI USA, V106, P16925, DOI 10.1073/pnas.0909248106
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
KIM BW, 1991, BIOTECHNOL PROGR, V7, P495, DOI 10.1021/bp00012a003
Kirchman D.L., 2008, Microbial Ecology of the Oceans, V2nd
Kirchman DL, 2005, DEEP-SEA RES PT II, V52, P3386, DOI 10.1016/j.dsr2.2005.09.005
Knap A.H., 1997, BATS Methods manual
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Krekeler D, 1998, FEMS MICROBIOL ECOL, V25, P89, DOI 10.1016/S0168-6496(97)00085-8
Labrenz M, 2007, AQUAT MICROB ECOL, V46, P177, DOI 10.3354/ame046177
Lam P, 2007, P NATL ACAD SCI USA, V104, P7104, DOI 10.1073/pnas.0611081104
Lee CK, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0037897, 10.1371/journal.pone.0044224]
Levipan HA, 2007, MICROBES ENVIRON, V22, P268, DOI 10.1264/jsme2.22.268
Lin XJ, 2006, APPL ENVIRON MICROB, V72, P2679, DOI 10.1128/AEM.72.4.2679-2690.2006
Liu JW, 2010, AQUAT MICROB ECOL, V61, P291, DOI 10.3354/ame01446
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Loy A, 2007, NUCLEIC ACIDS RES, V35, pD800, DOI 10.1093/nar/gkl856
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Manuel SA, 2013, MAR ENVIRON RES, V89, P63, DOI 10.1016/j.marenvres.2013.05.003
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Morris B., 1977, SPECIAL PUBL BERMUDA, V15, P1
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Muyzer G, 2008, NAT REV MICROBIOL, V6, P441, DOI 10.1038/nrmicro1892
Nelson CE, 2014, ENVIRON MICROBIOL, V16, P871, DOI 10.1111/1462-2920.12241
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Nelson CE, 2009, ISME J, V3, P13, DOI 10.1038/ismej.2008.81
NELSON DC, 1986, APPL ENVIRON MICROB, V52, P161, DOI 10.1128/AEM.52.1.161-168.1986
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Noll M, 2005, ENVIRON MICROBIOL, V7, P382, DOI 10.1111/j.1462-2920.2005.00700.x
OVERMANN J, 1992, LIMNOL OCEANOGR, V37, P150, DOI 10.4319/lo.1992.37.1.0150
Pace NR, 2006, NATURE, V441, P289, DOI 10.1038/441289a
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rabalais NN, 2009, ICES J MAR SCI, V66, P1528, DOI 10.1093/icesjms/fsp047
Ram ASP, 2009, AQUAT MICROB ECOL, V55, P255, DOI 10.3354/ame01300
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
REPETA DJ, 1989, NATURE, V342, P69, DOI 10.1038/342069a0
Revsbech NP, 2009, LIMNOL OCEANOGR-METH, V7, P371, DOI 10.4319/lom.2009.7.371
Rodriguez-Mora MJ, 2013, FEMS MICROBIOL ECOL, V84, P625, DOI 10.1111/1574-6941.12094
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Smetacek V., 1981, BBSR SPECIAL PUBLICA, V19, P77
STAL LJ, 1985, FEMS MICROBIOL ECOL, V31, P111, DOI 10.1016/0378-1097(85)90007-2
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stewart K., 2007, BLACK SEA FLOOD QUES
Stoica E, 2007, J PLANKTON RES, V29, P699, DOI 10.1093/plankt/fbm051
Stramma L, 2010, DEEP-SEA RES PT I, V57, P587, DOI 10.1016/j.dsr.2010.01.005
Strous M, 1999, APPL ENVIRON MICROB, V65, P3248
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Taipale S, 2009, AQUAT MICROB ECOL, V55, P1, DOI 10.3354/ame01277
Taylor GT, 2001, LIMNOL OCEANOGR, V46, P148, DOI 10.4319/lo.2001.46.1.0148
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
THORSTENSON DC, 1974, GEOCHIM COSMOCHIM AC, V38, P1, DOI 10.1016/0016-7037(74)90192-6
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
van der Maarel MJEC, 1999, FEMS MICROBIOL LETT, V173, P189, DOI 10.1016/S0378-1097(99)00071-3
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vergin KL, 2001, BIOTECHNIQUES, V30, P938, DOI 10.2144/01305bm03
Vetriani C, 2003, APPL ENVIRON MICROB, V69, P6481, DOI 10.1128/AEM.69.11.6481-6488.2003
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Weinbauer MG, 2003, LIMNOL OCEANOGR, V48, P1457, DOI 10.4319/lo.2003.48.4.1457
Wieringa EBA, 2000, ENVIRON MICROBIOL, V2, P417, DOI 10.1046/j.1462-2920.2000.00123.x
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Zaikova E, 2010, ENVIRON MICROBIOL, V12, P172, DOI 10.1111/j.1462-2920.2009.02058.x
Zehr JP, 2002, APPL ENVIRON MICROB, V68, P1015, DOI 10.1128/AEM.68.3.1015-1024.2002
NR 97
TC 20
Z9 26
PD OCT
PY 2015
VL 17
IS 10
SI SI
BP 3481
EP 3499
DI 10.1111/1462-2920.12445
UT WOS:000363448500006
DA 2025-07-30
ER
PT J
AU Haas, S
Desai, DK
LaRoche, J
Pawlowicz, R
Wallace, DWR
AF Haas, Sebastian
Desai, Dhwani K.
LaRoche, Julie
Pawlowicz, Rich
Wallace, Douglas W. R.
TI Geomicrobiology of the carbon, nitrogen and sulphur cycles in Powell
Lake: a permanently stratified water column containing ancient seawater
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We present the first geomicrobiological characterization of the meromictic water column of Powell Lake (British Columbia, Canada), a former fjord, which has been stably stratified since the last glacial period. Its deepest layers (300-350 m) retain isolated, relict seawater from that period. Fine-scale vertical profiling of the water chemistry and microbial communities allowed subdivision of the water column into distinct geomicrobiological zones. These zones were further characterized by phylogenetic and functional marker genes from amplicon and shotgun metagenome sequencing. Binning of metagenomic reads allowed the linkage of function to specific taxonomic groups. Statistical analyses (analysis of similarities, Bray-Curtis similarity) confirmed that the microbial community structure followed closely the geochemical zonation. Yet, our characterization of the genetic potential relevant to carbon, nitrogen and sulphur cycling of each zone revealed unexpected features, including potential for facultative anaerobic methylotrophy, nitrogen fixation despite high ammonium concentrations and potential micro-aerobic nitrifiers within the chemocline. At the oxic-suboxic interface, facultative anaerobic potential was found in the widespread freshwater lineage acI (Actinobacteria), suggesting intriguing ecophysiological similarities to the marine SAR11. Evolutionary divergent lineages among diverse phyla were identified in the ancient seawater zone and may indicate novel adaptations to this unusual environment.
C1 [Haas, Sebastian; Wallace, Douglas W. R.] Dalhousie Univ, Dept Oceanog, 1355 Oxford St, Halifax, NS, Canada.
[Desai, Dhwani K.; LaRoche, Julie] Dalhousie Univ, Dept Biol, 1355 Oxford St, Halifax, NS, Canada.
[Pawlowicz, Rich] Univ British Columbia, Dept Earth & Ocean Sci, 6339 Stores Rd, Vancouver, BC, Canada.
RP Haas, S (corresponding author), Dalhousie Univ, Dept Oceanog, 1355 Oxford St, Halifax, NS, Canada.
EM s.haas@dal.ca
CR Abubucker S, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002358
ALBRECHTSEN HJ, 1994, APPL ENVIRON MICROB, V60, P3920, DOI 10.1128/AEM.60.11.3920-3925.1994
Alneberg J, 2014, NAT METHODS, V11, P1144, DOI [10.1038/NMETH.3103, 10.1038/nmeth.3103]
[Anonymous], SCI REP
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Baatar B, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0150847
Babbin AR, 2017, GLOBAL BIOGEOCHEM CY, V31, P258, DOI 10.1002/2016GB005407
BALZER W, 1982, GEOCHIM COSMOCHIM AC, V46, P1153, DOI 10.1016/0016-7037(82)90001-1
Berner R.A., 1980, EARLY DIAGENESIS
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Beulig F, 2019, ISME J, V13, P250, DOI 10.1038/s41396-018-0273-z
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bombar D, 2016, TRENDS MICROBIOL, V24, P916, DOI 10.1016/j.tim.2016.07.002
BRAMAN RS, 1989, ANAL CHEM, V61, P2715, DOI 10.1021/ac00199a007
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
Bristow LA, 2015, LIMNOL OCEANOGR, V60, P1733, DOI 10.1002/lno.10130
Bryant DA, 2012, ADV PHOTOSYNTH RESP, V33, P47, DOI 10.1007/978-94-007-1533-2_3
Buchwald C, 2015, GLOBAL BIOGEOCHEM CY, V29, P2061, DOI 10.1002/2015GB005187
Calvert SE, 1996, ECON GEOL BULL SOC, V91, P36, DOI 10.2113/gsecongeo.91.1.36
Campbell JH, 2013, P NATL ACAD SCI USA, V110, P5540, DOI 10.1073/pnas.1303090110
Canfield DE, 2009, GEOBIOLOGY, V7, P385, DOI 10.1111/j.1472-4669.2009.00214.x
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Casamayor EO, 2012, AQUAT SCI, V74, P61, DOI 10.1007/s00027-011-0196-5
Chronopoulou PM, 2017, ISME J, V11, P1386, DOI 10.1038/ismej.2017.6
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Clarke KR., 2006, PRIMER VERSION 7 USE
CLINE JD, 1969, LIMNOL OCEANOGR, V14, P454, DOI 10.4319/lo.1969.14.3.0454
CLOERN JE, 1983, LIMNOL OCEANOGR, V28, P1049, DOI 10.4319/lo.1983.28.6.1049
COBLE PG, 1991, DEEP-SEA RES, V38, pS985, DOI 10.1016/S0198-0149(10)80020-2
Comeau AM, 2017, MSYSTEMS, V2, DOI 10.1128/mSystems.00127-16
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Crowe SA, 2014, GEOBIOLOGY, V12, P322, DOI 10.1111/gbi.12089
Crowe SA, 2011, GEOBIOLOGY, V9, P61, DOI 10.1111/j.1472-4669.2010.00257.x
Crowe SA, 2008, P NATL ACAD SCI USA, V105, P15938, DOI 10.1073/pnas.0805313105
Crowe SA, 2008, LIMNOL OCEANOGR, V53, P319, DOI 10.4319/lo.2008.53.1.0319
DAVISON W, 1993, EARTH-SCI REV, V34, P119, DOI 10.1016/0012-8252(93)90029-7
Delcher AL, 2002, NUCLEIC ACIDS RES, V30, P2478, DOI 10.1093/nar/30.11.2478
Delmont T. O, 2017, RECOVERING HBDS TARA
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Desai DK, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00362
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, BMC BIOINFORMATICS, V5, P1, DOI 10.1186/1471-2105-5-113
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Eren AM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066643
Fish JA, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00291
Fontugne M, 2009, RADIOCARBON, V51, P969, DOI 10.1017/S0033822200034044
FROELICH PN, 1979, GEOCHIM COSMOCHIM AC, V43, P1075, DOI 10.1016/0016-7037(79)90095-4
Füssel J, 2012, ISME J, V6, P1200, DOI 10.1038/ismej.2011.178
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Garcia SL, 2013, ISME J, V7, P137, DOI 10.1038/ismej.2012.86
Gebbie G, 2012, J PHYS OCEANOGR, V42, P291, DOI 10.1175/JPO-D-11-043.1
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Gies EA, 2014, APPL ENVIRON MICROB, V80, P6807, DOI 10.1128/AEM.01774-14
Glaubitz S, 2013, APPL ENVIRON MICROB, V79, P2767, DOI 10.1128/AEM.03777-12
Graf JS, 2018, ENVIRON MICROBIOL, V20, P2598, DOI 10.1111/1462-2920.14285
Granger J, 2009, RAPID COMMUN MASS SP, V23, P3753, DOI 10.1002/rcm.4307
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
Griffin BM, 2007, SCIENCE, V316, P1870, DOI 10.1126/science.1139478
Grosskopf T, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00236
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Haas S, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00858
Halm H, 2009, ENVIRON MICROBIOL, V11, P1945, DOI 10.1111/j.1462-2920.2009.01917.x
Hamilton TL, 2017, GEOBIOLOGY, V15, P784, DOI 10.1111/gbi.12252
Haroon MF, 2013, NATURE, V500, P567, DOI 10.1038/nature12375
Heising S, 1999, ARCH MICROBIOL, V172, P116, DOI 10.1007/s002030050748
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Hutchinson GE., 1957, TREATISE LIMNOLOGY G
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iino T, 2010, INT J SYST EVOL MICR, V60, P1376, DOI 10.1099/ijs.0.012484-0
Inagaki F, 2006, P NATL ACAD SCI USA, V103, P14164, DOI 10.1073/pnas.0606083103
Inceoglu Ö, 2015, MICROB ECOL, V70, P596, DOI 10.1007/s00248-015-0612-9
Inceoglu Ö, 2015, AQUAT MICROB ECOL, V74, P215, DOI 10.3354/ame01737
IOC SCOR and IAPSO, 2010, INTERGOVERNMENTAL OC, V56, DOI [DOI 10.0RG/PUBS/TE0S-10_MANUAL.PDF, DOI 10.0RG/TE0S-10_MANUAL.PDF]
Kalyuhznaya MG, 2009, ENV MICROBIOL REP, V1, P385, DOI 10.1111/j.1758-2229.2009.00046.x
Katsev S, 2010, LIMNOL OCEANOGR, V55, P763, DOI 10.4319/lo.2009.55.2.0763
Kerouel R, 1997, MAR CHEM, V57, P265, DOI 10.1016/S0304-4203(97)00040-6
Khatiwala S, 2012, EARTH PLANET SC LETT, V325, P116, DOI 10.1016/j.epsl.2012.01.038
Kim D, 2016, GENOME RES, V26, P1721, DOI 10.1101/gr.210641.116
KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
Kits KD, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01072
Kits KD, 2015, ENVIRON MICROBIOL, V17, P3219, DOI 10.1111/1462-2920.12772
Klepac-Ceraj V, 2012, GEOBIOLOGY, V10, P223, DOI 10.1111/j.1472-4669.2012.00317.x
Knapp AN, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00374
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Kozlowski JA, 2016, ISME J, V10, P1836, DOI 10.1038/ismej.2016.2
Kuever J., 2014, The Prokaryotes: Deltaproteobacteria and Epsilonproteobacteria, P281
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Lam P, 2011, ANNU REV MAR SCI, V3, P317, DOI 10.1146/annurev-marine-120709-142814
Langille, 2017, 16S BACT ARCH STAND
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lau E, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056993
Lauro FM, 2011, ISME J, V5, P879, DOI 10.1038/ismej.2010.185
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
Lehours AC, 2007, APPL ENVIRON MICROB, V73, P2016, DOI 10.1128/AEM.01490-06
Lehtovirta-Morley LE, 2016, APPL ENVIRON MICROB, V82, P2608, DOI 10.1128/AEM.04031-15
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Li SJ, 2014, SCI REP-UK, V4, DOI 10.1038/srep06205
Liu ZF, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00185
Llorens-Marès T, 2015, ISME J, V9, P1648, DOI 10.1038/ismej.2014.254
LUTHER GW, 1991, GEOCHIM COSMOCHIM AC, V55, P2839, DOI 10.1016/0016-7037(91)90449-F
Maalcke WJ, 2016, J BIOL CHEM, V291, P17077, DOI 10.1074/jbc.M116.735530
MacGregor BJ, 2001, APPL ENVIRON MICROB, V67, P3908, DOI 10.1128/AEM.67.9.3908-3922.2001
Manske AK, 2005, APPL ENVIRON MICROB, V71, P8049, DOI 10.1128/AEM.71.12.8049-8060.2005
Marschall E, 2010, ENVIRON MICROBIOL, V12, P1348, DOI 10.1111/j.1462-2920.2010.02178.x
Mathews W.H., 1962, 13 U BRIT COL I OC
Mercier C., 2013, SUMATRA and SUMACLUST: Fast and exact comparison and clustering of sequences
Miloshevich LM, 2004, J ATMOS OCEAN TECH, V21, P1305, DOI 10.1175/1520-0426(2004)021<1305:DAVOAT>2.0.CO;2
Minoche AE, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-11-r112
Morris RL, 2013, NAT REV MICROBIOL, V11, P205, DOI 10.1038/nrmicro2970
MYERS CR, 1988, GEOCHIM COSMOCHIM AC, V52, P2727, DOI 10.1016/0016-7037(88)90041-5
Nealson K, 2003, GEOMICROBIOL J, V20, P451, DOI 10.1080/713851133
NEALSON KH, 1991, DEEP-SEA RES, V38, pS907, DOI 10.1016/S0198-0149(10)80016-0
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Newton RJ, 2007, APPL ENVIRON MICROB, V73, P7169, DOI 10.1128/AEM.00794-07
NORTHCOTE TG, 1983, HYDROBIOLOGIA, V105, P179, DOI 10.1007/BF00025187
Ohkouchi N, 2005, ENVIRON MICROBIOL, V7, P1009, DOI 10.1111/j.1462-2920.2005.00772.x
OREN A, 1977, P NATL ACAD SCI USA, V74, P2152, DOI 10.1073/pnas.74.5.2152
Oswald K, 2017, ISME J, V11, P2124, DOI 10.1038/ismej.2017.77
Oswald K, 2016, LIMNOL OCEANOGR, V61, pS101, DOI 10.1002/lno.10312
Overbeek R, 2014, NUCLEIC ACIDS RES, V42, pD206, DOI 10.1093/nar/gkt1226
OVERMANN J, 1992, LIMNOL OCEANOGR, V37, P150, DOI 10.4319/lo.1992.37.1.0150
OVERMANN J, 1989, AQUAT SCI, V51, P261, DOI 10.1007/BF00877171
Padilla CC, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00023
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Perry K.A, 1990, THESIS
PERRY KA, 1993, GEOCHIM COSMOCHIM AC, V57, P4405, DOI 10.1016/0016-7037(93)90491-E
Pimenov NV, 2006, NATO SCI S SS IV EAR, V64, P501
Pouliot J, 2009, ENVIRON MICROBIOL, V11, P687, DOI 10.1111/j.1462-2920.2008.01846.x
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Pruitt KD, 2007, NUCLEIC ACIDS RES, V35, pD61, DOI 10.1093/nar/gkl842
Rodriguez-R LM, 2014, BIOINFORMATICS, V30, P629, DOI 10.1093/bioinformatics/btt584
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
SANDERSON B, 1986, J GEOPHYS RES-OCEANS, V91, P7647, DOI 10.1029/JC091iC06p07647
Scheifele B, 2014, J PHYS OCEANOGR, V44, P2893, DOI 10.1175/JPO-D-14-0070.1
Schubert CJ, 2006, NATO SCI S SS IV EAR, V64, P419
Schultze M, 2017, ECOL STUD-ANAL SYNTH, V228, P35, DOI 10.1007/978-3-319-49143-1_3
Soulet G, 2019, RADIOCARBON, V61, P309, DOI 10.1017/RDC.2018.61
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Sun X, 2017, GEOPHYS RES LETT, V44, P7883, DOI 10.1002/2017GL074355
Thomazo C, 2013, ELEMENTS, V9, P345, DOI 10.2113/gselements.9.5.345
TORGERSEN T, 1981, LIMNOL OCEANOGR, V26, P110, DOI 10.4319/lo.1981.26.1.0110
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
WILLIAMS PM, 1961, NATURE, V191, P831
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Wu QL, 2006, APPL ENVIRON MICROB, V72, P5478, DOI 10.1128/AEM.00767-06
Yanko-Hombach V, 2014, QUATERN INT, V345, P100, DOI 10.1016/j.quaint.2013.07.027
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Yurkov VV, 1998, MICROBIOL MOL BIOL R, V62, P695, DOI 10.1128/MMBR.62.3.695-724.1998
Zadereev ES, 2017, ECOL STUD-ANAL SYNTH, V228, P61, DOI 10.1007/978-3-319-49143-1_4
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zwart G, 2003, APPL ENVIRON MICROB, V69, P5875, DOI 10.1128/AEM.69.10.5875-5883.2003
NR 158
TC 11
Z9 12
PD OCT
PY 2019
VL 21
IS 10
BP 3927
EP 3952
DI 10.1111/1462-2920.14743
EA AUG 2019
UT WOS:000478983600001
DA 2025-07-30
ER
PT J
AU Zinser, ER
AF Zinser, Erik R.
TI Cross-protection from hydrogen peroxide by helper microbes: the impacts
on the cyanobacterium Prochlorococcus and other beneficiaries in
marine communities
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Review
AB Hydrogen peroxide (HOOH) is a reactive oxygen species, derived from molecular oxygen, that is capable of damaging microbial cells. Surprisingly, the HOOH defence systems of some aerobes in the oxygenated marine environments are critically depleted, relative to model aerobes. For instance, the gene encoding catalase is absent in the numerically dominant photosynthetic cyanobacterium, Prochlorococcus. Accordingly, Prochlorococcus is highly susceptible to HOOH when exposed as pure cultures. Pure cultures do not exist in the marine environment, however. Catalase-positive community members can remove HOOH from the seawater medium, thus lowering the threat to Prochlorococcus and any other member that likewise lacks their own catalase. This cross-protection may constitute a loosely defined symbiosis, whereby the catalase-positive helper cells may benefit through the acquisition of nutrients released by the beneficiaries such as Prochlorococcus. Other members of the community that may be helped by the catalase-positive cells may include some lineages of Synechococcus - the sister genus of Prochlorococcus - as well as some lineages of SAR11 and ammonia oxidizing archaea and bacteria. The co-occurrence of catalase-positive and -negative members suggests that cross-protection from HOOH-mediated oxidative stress may play an important role in the construction of the marine microbial community.
C1 [Zinser, Erik R.] Univ Tennessee, Dept Microbiol, Knoxville, TN 37996 USA.
RP Zinser, ER (corresponding author), Univ Tennessee, Dept Microbiol, Knoxville, TN 37996 USA.
EM ezinser@utk.edu
CR Aharonovich D, 2016, ISME J, V10, P2892, DOI 10.1038/ismej.2016.70
Andeer PF, 2015, ENVIRON MICROBIOL, V17, P3925, DOI 10.1111/1462-2920.12893
Ankrah NYD, 2014, ISME J, V8, P1089, DOI 10.1038/ismej.2013.216
Avery GB, 2005, MAR CHEM, V97, P236, DOI 10.1016/j.marchem.2005.03.006
Avery OT, 1924, J EXP MED, V39, P275, DOI 10.1084/jem.39.2.275
Avrani S, 2015, P NATL ACAD SCI USA, V112, pE2191, DOI 10.1073/pnas.1420347112
Becker JW, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00111
Bertilsson S, 2005, VIE MILIEU, V55, P225
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Biller SJ, 2017, ISME J, V11, P394, DOI 10.1038/ismej.2016.134
Biller SJ, 2016, ISME J, V10, P2831, DOI 10.1038/ismej.2016.82
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Braakman R, 2017, P NATL ACAD SCI USA, V114, pE3091, DOI 10.1073/pnas.1619573114
Brahamsha B, 1996, APPL ENVIRON MICROB, V62, P1747, DOI 10.1128/AEM.62.5.1747-1751.1996
Christie-Oleza JA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.100
Coe A, 2016, LIMNOL OCEANOGR, V61, P1375, DOI 10.1002/lno.10302
COOPER WJ, 1987, J GEOPHYS RES-OCEANS, V92, P2970, DOI 10.1029/JC092iC03p02970
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Diaz JM, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13801
Diaz JM, 2013, SCIENCE, V340, P1223, DOI 10.1126/science.1237331
DUBININ AV, 1992, MICROBIOLOGY+, V61, P41
Estrela S, 2016, ENVIRON MICROBIOL, V18, P1415, DOI 10.1111/1462-2920.13028
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fullmer MS, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00728
Gilbert JA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015545
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Hansard SP, 2010, DEEP-SEA RES PT I, V57, P1111, DOI 10.1016/j.dsr.2010.05.007
Hanson AK, 2001, MAR CHEM, V75, P69, DOI 10.1016/S0304-4203(01)00027-5
Hartmann M, 2014, ISME J, V8, P2280, DOI 10.1038/ismej.2014.56
Hennon GMM, 2018, ISME J, V12, P520, DOI 10.1038/ismej.2017.189
Herut B, 1998, MAR POLLUT BULL, V36, P994, DOI 10.1016/S0025-326X(98)80004-0
Hervé C, 2006, CURR GENET, V49, P190, DOI 10.1007/s00294-005-0044-z
Hewson I, 2010, ENVIRON MICROBIOL, V12, P1940, DOI 10.1111/j.1462-2920.2010.02198.x
Hünken M, 2008, PLANT BIOLOGY, V10, P519, DOI 10.1111/j.1438-8677.2008.00040.x
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Imlay JA, 2003, ANNU REV MICROBIOL, V57, P395, DOI 10.1146/annurev.micro.57.030502.090938
Imlay JA, 2013, NAT REV MICROBIOL, V11, P443, DOI 10.1038/nrmicro3032
Jakubovics NS, 2008, FEMS MICROBIOL ECOL, V66, P637, DOI 10.1111/j.1574-6941.2008.00585.x
KADURUGAMUWA JL, 1995, J BACTERIOL, V177, P3998, DOI 10.1128/jb.177.14.3998-4008.1995
Kim D, 2000, BBA-GEN SUBJECTS, V1524, P220, DOI 10.1016/S0304-4165(00)00161-6
Kim D, 2007, J PLANKTON RES, V29, P241, DOI 10.1093/plankt/fbm011
Kim JG, 2016, P NATL ACAD SCI USA, V113, P7888, DOI 10.1073/pnas.1605501113
Kranner I, 2005, P NATL ACAD SCI USA, V102, P3141, DOI 10.1073/pnas.0407716102
Laohavisit A, 2015, ALGAL RES, V12, P91, DOI 10.1016/j.algal.2015.08.009
Lee MD, 2017, ISME J, V11, P1813, DOI 10.1038/ismej.2017.49
Lesser MP, 2006, ANNU REV PHYSIOL, V68, P253, DOI 10.1146/annurev.physiol.68.040104.110001
Lesser MP, 1996, LIMNOL OCEANOGR, V41, P271, DOI 10.4319/lo.1996.41.2.0271
Ma LY, 2018, ISME J, V12, P473, DOI 10.1038/ismej.2017.182
MA M, 1992, P NATL ACAD SCI USA, V89, P7924, DOI 10.1073/pnas.89.17.7924
Malfatti F, 2009, AQUAT MICROB ECOL, V58, P1, DOI 10.3354/ame01355
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Marshall JA, 2005, MAR BIOL, V147, P533, DOI 10.1007/s00227-005-1596-7
Mas A, 2016, ISME J, V10, P2085, DOI 10.1038/ismej.2016.22
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
McLeod JW, 1922, BIOCHEM J, V16, P499, DOI 10.1042/bj0160499
MICINSKI E, 1993, J GEOPHYS RES-OCEANS, V98, P2299, DOI 10.1029/92JC02766
MILLER WL, 1994, MAR CHEM, V48, P17, DOI 10.1016/0304-4203(94)90059-0
Milne A, 2009, LIMNOL OCEANOGR-METH, V7, P706, DOI 10.4319/lom.2009.7.706
MOFFETT JW, 1990, LIMNOL OCEANOGR, V35, P1221, DOI 10.4319/lo.1990.35.6.1221
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Moore LR, 2005, AQUAT MICROB ECOL, V39, P257, DOI 10.3354/ame039257
Moore LR, 1999, LIMNOL OCEANOGR, V44, P628, DOI 10.4319/lo.1999.44.3.0628
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris JJ, 2016, J PLANKTON RES, V38, P1103, DOI 10.1093/plankt/fbw016
Morris JJ, 2015, TRENDS GENET, V31, P475, DOI 10.1016/j.tig.2015.05.004
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
NAGATA T, 1991, LIMNOL OCEANOGR, V36, P433, DOI 10.4319/lo.1991.36.3.0433
Oda T, 1997, BIOSCI BIOTECH BIOCH, V61, P1658, DOI 10.1271/bbb.61.1658
Oliveira NM, 2014, P NATL ACAD SCI USA, V111, P17941, DOI 10.1073/pnas.1412673111
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
PALENIK B, 1990, LIMNOL OCEANOGR, V35, P260, DOI 10.4319/lo.1990.35.2.0260
PALENIK B, 1987, LIMNOL OCEANOGR, V32, P1365, DOI 10.4319/lo.1987.32.6.1365
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Petasne RG, 1997, MAR CHEM, V56, P215, DOI 10.1016/S0304-4203(96)00072-2
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Regelsberger G, 2002, PLANT PHYSIOL BIOCH, V40, P479, DOI 10.1016/S0981-9428(02)01405-5
Rippka R, 2000, INT J SYST EVOL MICR, V50, P1833, DOI 10.1099/00207713-50-5-1833
Roe KL, 2016, DEEP-SEA RES PT I, V107, P59, DOI 10.1016/j.dsr.2015.10.012
Rose AL, 2008, ENVIRON SCI TECHNOL, V42, P2387, DOI 10.1021/es7024609
Rose AL, 2016, FRONT EARTH SC-SWITZ, V4, DOI 10.3389/feart.2016.00096
Rose AL, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00124
Rose AL, 2010, LIMNOL OCEANOGR, V55, P1521, DOI 10.4319/lo.2010.55.4.1521
Sachs JL, 2012, MBIO, V3, DOI 10.1128/mBio.00099-12
Saito M.A., 2000, THESIS
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Saragosti E, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012508
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schneider RJ, 2016, FRONT CHEM, V4, DOI 10.3389/fchem.2016.00005
Seaver LC, 2001, J BACTERIOL, V183, P7182, DOI 10.1128/JB.183.24.7182-7189.2001
Sedlacek CJ, 2016, APPL ENVIRON MICROB, V82, P4776, DOI 10.1128/AEM.01171-16
Seymour JR, 2010, AQUAT MICROB ECOL, V59, P161, DOI 10.3354/ame01400
Shaked Y, 2013, J GEOPHYS RES-BIOGEO, V118, P1793, DOI 10.1002/2013JG002483
Shaked Y, 2010, ENVIRON SCI TECHNOL, V44, P3238, DOI 10.1021/es902343y
Sher D, 2011, ISME J, V5, P1125, DOI 10.1038/ISMEJ.2011.1
Tai V, 2009, ENVIRON MICROBIOL, V11, P2698, DOI 10.1111/j.1462-2920.2009.01997.x
Tolar BB, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00237
Vermilyea AW, 2010, LIMNOL OCEANOGR, V55, P580, DOI 10.4319/lo.2009.55.2.0580
Visick KL, 1998, J BACTERIOL, V180, P2087, DOI 10.1128/JB.180.8.2087-2092.1998
Wong GTF, 2003, OCEANOL ACTA, V26, P191, DOI 10.1016/S0399-1784(02)00006-3
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
Yuan J.C., 2004, Geophys Res Lett, V31
Yuan JC, 2001, DEEP-SEA RES PT II, V48, P2947, DOI 10.1016/S0967-0645(01)00026-1
ZIKA RG, 1985, MAR CHEM, V17, P265, DOI 10.1016/0304-4203(85)90015-5
ZIKA RG, 1985, GEOCHIM COSMOCHIM AC, V49, P1173, DOI 10.1016/0016-7037(85)90008-0
Zinser ER, 2007, LIMNOL OCEANOGR, V52, P2205, DOI 10.4319/lo.2007.52.5.2205
Zinser ER, 2018, ENV MICROBIOL REP, V10, P412, DOI 10.1111/1758-2229.12626
NR 110
TC 26
Z9 29
PD AUG
PY 2018
VL 10
IS 4
BP 399
EP 411
DI 10.1111/1758-2229.12625
UT WOS:000442577600001
DA 2025-07-30
ER
PT J
AU Wietz, M
Wemheuer, B
Simon, H
Giebel, HA
Seibt, MA
Daniel, R
Brinkhoff, T
Simon, M
AF Wietz, Matthias
Wemheuer, Bernd
Simon, Heike
Giebel, Helge-Ansgar
Seibt, Maren A.
Daniel, Rolf
Brinkhoff, Thorsten
Simon, Meinhard
TI Bacterial community dynamics during polysaccharide degradation at
contrasting sites in the Southern and Atlantic Oceans
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The bacterial degradation of polysaccharides is central to marine carbon cycling, but little is known about the bacterial taxa that degrade specific marine polysaccharides. Here, bacterial growth and community dynamics were studied during the degradation of the polysaccharides chitin, alginate and agarose in microcosm experiments at four contrasting locations in the Southern and Atlantic Oceans. At the Southern polar front, chitin-supplemented microcosms were characterized by higher fractions of actively growing cells and a community shift from Alphaproteobacteria to Gammaproteobacteria and Bacteroidetes. At the Antarctic ice shelf, chitin degradation was associated with growth of Bacteroidetes, with 24% higher cell numbers compared with the control. At the Patagonian continental shelf, alginate and agarose degradation covaried with growth of different Alteromonadaceae populations, each with specific temporal growth patterns. At the Mauritanian upwelling, only the alginate hydrolysis product guluronate was consumed, coincident with increasing abundances of Alteromonadaceae and possibly cross-feeding SAR11. 16S rRNA gene amplicon libraries indicated that growth of the Bacteroidetes-affiliated genus Reichenbachiella was stimulated by chitin at all cold and temperate water stations, suggesting comparable ecological roles over wide geographical scales. Overall, the predominance of location-specific patterns showed that bacterial communities from contrasting oceanic biomes have members with different potentials to hydrolyse polysaccharides.
C1 [Wietz, Matthias; Simon, Heike; Giebel, Helge-Ansgar; Brinkhoff, Thorsten; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26129 Oldenburg, Germany.
[Wemheuer, Bernd; Daniel, Rolf] Univ Gottingen, Inst Microbiol & Genet, Gen & Appl Microbiol, D-37077 Gottingen, Germany.
[Wemheuer, Bernd; Daniel, Rolf] Univ Gottingen, Inst Microbiol & Genet, Gottingen Genom Lab, D-37077 Gottingen, Germany.
[Seibt, Maren A.] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, ICBM MPI Bridging Grp Marine Geochem, D-26129 Oldenburg, Germany.
RP Wietz, M (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, D-26129 Oldenburg, Germany.
EM matthias.wietz@uni-oldenburg.de
CR Allers E, 2008, APPL ENVIRON MICROB, V74, P3274, DOI 10.1128/AEM.01870-07
AMON RMW, 1994, NATURE, V369, P549, DOI 10.1038/369549a0
[Anonymous], MOL MICROB ECOL MAN
[Anonymous], THESIS TU MUNCHEN
[Anonymous], 1990, ADV MICROB ECOL
[Anonymous], ENV MICROBI IN PRESS
Arnosti C, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00425
Arnosti C, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028900
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Beier S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00149
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Borch NH, 1997, MAR CHEM, V57, P85, DOI 10.1016/S0304-4203(97)00002-9
Bragg L, 2012, NAT METHODS, V9, P425, DOI 10.1038/nmeth.1990
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chi WJ, 2012, APPL MICROBIOL BIOT, V94, P917, DOI 10.1007/s00253-012-4023-2
COWIE GL, 1984, GEOCHIM COSMOCHIM AC, V48, P2075, DOI 10.1016/0016-7037(84)90388-0
D'Ambrosio L, 2014, ISME J, V8, P2167, DOI 10.1038/ismej.2014.67
Davis TA, 2003, WATER RES, V37, P4311, DOI 10.1016/S0043-1354(03)00293-8
DOUBET RS, 1982, APPL ENVIRON MICROB, V44, P754, DOI 10.1128/AEM.44.3.754-756.1982
Durkin CA, 2009, EUKARYOT CELL, V8, P1038, DOI 10.1128/EC.00079-09
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Edwards JL, 2010, GENES-BASEL, V1, P371, DOI 10.3390/genes1030371
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Guixa-Boixereu N, 1999, APPL ENVIRON MICROB, V65, P1949
Haynes K, 2007, APPL ENVIRON MICROB, V73, P6112, DOI 10.1128/AEM.00551-07
JEUNIAUX C, 1991, BIOCHEM SYST ECOL, V19, P347, DOI 10.1016/0305-1978(91)90051-Z
Kabisch A, 2014, ISME J, V8, P1492, DOI 10.1038/ismej.2014.4
Kirchman D.L., 2008, Microbial Ecology of the Oceans, V2nd
Landa M, 2014, ENVIRON MICROBIOL, V16, P1668, DOI 10.1111/1462-2920.12242
LANGE B, 1989, ARCH MICROBIOL, V152, P302, DOI 10.1007/BF00409667
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Liu ZZ, 2007, NUCLEIC ACIDS RES, V35, DOI 10.1093/nar/gkm541
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Martin M., 2011, EMBnet J, V17, P10
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
MOPPER K, 1992, ENVIRON SCI TECHNOL, V26, P133, DOI 10.1021/es00025a014
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 2007, AQUAT MICROB ECOL, V49, P123, DOI 10.3354/ame01139
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Oksanen J., 2010, Vegan: Community ecology package
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Piontek J, 2011, J PLANKTON RES, V33, P1719, DOI 10.1093/plankt/fbr069
Pukall R, 1999, FEMS MICROBIOL ECOL, V28, P335, DOI 10.1016/S0168-6496(98)00117-2
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2012, R: A language and environment for statistical computing
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sharma AK, 2014, ENVIRON MICROBIOL, V16, P2815, DOI 10.1111/1462-2920.12254
Simon M, 2012, AQUAT MICROB ECOL, V68, P13, DOI 10.3354/ame01597
Souza CP, 2011, MAR BIOTECHNOL, V13, P823, DOI 10.1007/s10126-011-9388-1
Steen AD, 2008, LIMNOL OCEANOGR, V53, P936, DOI 10.4319/lo.2008.53.3.0936
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
TANOUE E, 1987, OCEANOL ACTA, V10, P91
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thomas F, 2012, ENVIRON MICROBIOL, V14, P2379, DOI 10.1111/j.1462-2920.2012.02751.x
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Wang Y, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007401
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
WEYLAND H, 1970, Veroeffentlichungen des Instituts fuer Meeresforschung in Bremerhaven, V12, P269
Yong JJ, 2007, INT J SYST EVOL MICR, V57, P951, DOI 10.1099/ijs.0.64723-0
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
Zimmerman AE, 2013, ISME J, V7, P1187, DOI 10.1038/ismej.2012.176
NR 74
TC 79
Z9 82
PD OCT
PY 2015
VL 17
IS 10
SI SI
BP 3822
EP 3831
DI 10.1111/1462-2920.12842
UT WOS:000363448500029
DA 2025-07-30
ER
PT J
AU Wear, EK
Wilbanks, EG
Nelson, CE
Carlson, CA
AF Wear, Emma K.
Wilbanks, Elizabeth G.
Nelson, Craig E.
Carlson, Craig A.
TI Primer selection impacts specific population abundances but not
community dynamics in a monthly time-series 16S rRNA gene amplicon
analysis of coastal marine bacterioplankton
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Primers targeting the 16S small subunit ribosomal RNA marker gene, used to characterize bacterial and archaeal communities, have recently been re-evaluated for marine planktonic habitats. To investigate whether primer selection affects the ecological interpretation of bacterioplankton populations and community dynamics, amplicon sequencing with four primer sets targeting several hypervariable regions of the 16S rRNA gene was conducted on both mock communities constructed from cloned 16S rRNA genes and a time-series of DNA samples from the temperate coastal Santa Barbara Channel. Ecological interpretations of community structure (delineation of depth and seasonality, correlations with environmental factors) were similar across primer sets, while population dynamics varied. We observed substantial differences in relative abundances of taxa known to be poorly resolved by some primer sets, such as Thaumarchaeota and SAR11, and unexpected taxa including Roseobacter clades. Though the magnitude of relative abundances of common OTUs differed between primer sets, the relative abundances of the OTUs were nonetheless strongly correlated. We do not endorse one primer set but rather enumerate strengths and weaknesses to facilitate selection appropriate to a system or experimental goal. While 16S rRNA gene primer bias suggests caution in assessing quantitative population dynamics, community dynamics appear robust across studies using different primers.
C1 [Wear, Emma K.; Wilbanks, Elizabeth G.; Carlson, Craig A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Wear, Emma K.; Wilbanks, Elizabeth G.; Carlson, Craig A.] Univ Calif Santa Barbara, Marine Sci Inst, Santa Barbara, CA 93106 USA.
[Nelson, Craig E.] Univ Hawaii Manoa, Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
[Nelson, Craig E.] Univ Hawaii Manoa, Dept Oceanog, Honolulu, HI 96822 USA.
[Nelson, Craig E.] Univ Hawaii Manoa, Sea Grant Coll Program, Honolulu, HI 96822 USA.
[Wear, Emma K.] Univ Montana, Flathead Lake Biol Stn, Polson, MT 59860 USA.
RP Wear, EK (corresponding author), Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.; Wear, EK (corresponding author), Univ Calif Santa Barbara, Marine Sci Inst, Santa Barbara, CA 93106 USA.; Wear, EK (corresponding author), Univ Montana, Flathead Lake Biol Stn, Polson, MT 59860 USA.
EM emma.wear@flbs.umt.edu
CR Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Baker GC, 2003, J MICROBIOL METH, V55, P541, DOI 10.1016/j.mimet.2003.08.009
Barrón RK, 2014, LIMNOL OCEANOGR, V59, P927, DOI 10.4319/lo.2014.59.3.0927
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Catlett D, 2018, J GEOPHYS RES-OCEANS, V123, P246, DOI 10.1002/2017JC013195
Clarke KR, 2006, PRIMER v6: User Manual/Tutorial
Doherty M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00882
Evans J, 2006, J MOL EVOL, V62, P785, DOI 10.1007/s00239-005-0176-2
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Goldberg SJ, 2017, ENVIRON MICROBIOL, V19, P3450, DOI 10.1111/1462-2920.13825
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Hugerth LW, 2014, APPL ENVIRON MICROB, V80, P5116, DOI 10.1128/AEM.01403-14
Illumina, 2013, 16S MET SEQ LIBR PRE
Klindworth Anna, 2013, Nucleic Acids Res, V41, pe1, DOI 10.1093/nar/gks808
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
Logue JB, 2016, ISME J, V10, P533, DOI 10.1038/ismej.2015.131
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Luo HW, 2014, ISME J, V8, P732, DOI 10.1038/ismej.2013.202
McCune B., 2006, PC ORD MULTIVARIATE
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nelson CE, 2014, P NATL ACAD SCI USA, V111, P7166, DOI 10.1073/pnas.1405751111
Nelson CE, 2014, ENVIRON MICROBIOL, V16, P871, DOI 10.1111/1462-2920.12241
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Otero MP, 2004, DEEP-SEA RES PT II, V51, P1129, DOI 10.1016/j.dsr2.2004.04.004
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
PIELOU EC, 1966, J THEOR BIOL, V13, P131, DOI 10.1016/0022-5193(66)90013-0
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Sánchez O, 2007, APPL ENVIRON MICROB, V73, P5962, DOI 10.1128/AEM.00817-07
Schloss PD, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000844
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Stedmon CA, 2000, ESTUAR COAST SHELF S, V51, P267, DOI 10.1006/ecss.2000.0645
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wear EK, 2015, LIMNOL OCEANOGR, V60, P657, DOI 10.1002/lno.10042
Winant CD, 1997, J GEOPHYS RES-OCEANS, V102, P5641, DOI 10.1029/96JC02801
NR 43
TC 108
Z9 119
PD AUG
PY 2018
VL 20
IS 8
SI SI
BP 2709
EP 2726
DI 10.1111/1462-2920.14091
UT WOS:000445184600003
DA 2025-07-30
ER
PT J
AU Sun, FL
Wang, YS
Wu, ML
Jiang, ZY
Sun, CC
Cheng, H
AF Sun, Fu-Lin
Wang, You-Shao
Wu, Mei-Lin
Jiang, Zhao-Yu
Sun, Cui-Ci
Cheng, Hao
TI Genetic Diversity of Bacterial Communities and Gene Transfer Agents in
Northern South China Sea
SO PLOS ONE
DT Article
AB Pyrosequencing of the 16S ribosomal RNA gene (rDNA) amplicons was performed to investigate the unique distribution of bacterial communities in northern South China Sea (nSCS) and evaluate community structure and spatial differences of bacterial diversity. Cyanobacteria, Proteobacteria, Actinobacteria, and Bacteroidetes constitute the majority of bacteria. The taxonomic description of bacterial communities revealed that more Chroococcales, SAR11 clade, Acidimicrobiales, Rhodobacterales, and Flavobacteriales are present in the nSCS waters than other bacterial groups. Rhodobacterales were less abundant in tropical water (nSCS) than in temperate and cold waters. Furthermore, the diversity of Rhodobacterales based on the gene transfer agent (GTA) major capsid gene (g5) was investigated. Four g5 gene clone libraries were constructed from samples representing different regions and yielded diverse sequences. Fourteen g5 clusters could be identified among 197 nSCS clones. These clusters were also related to known g5 sequences derived from genome-sequenced Rhodobacterales. The composition of g5 sequences in surface water varied with the g5 sequences in the sampling sites; this result indicated that the Rhodobacterales population could be highly diverse in nSCS. Phylogenetic tree analysis result indicated distinguishable diversity patterns among tropical (nSCS), temperate, and cold waters, thereby supporting the niche adaptation of specific Rhodobacterales members in unique environments.
C1 [Sun, Fu-Lin; Wang, You-Shao; Wu, Mei-Lin; Jiang, Zhao-Yu; Sun, Cui-Ci; Cheng, Hao] Chinese Acad Sci, State Key Lab Trop Oceanog, South China Sea Inst Oceanol, Guangzhou, Guangdong, Peoples R China.
[Sun, Fu-Lin; Wang, You-Shao; Sun, Cui-Ci] Chinese Acad Sci, South China Sea Inst Oceanol, Daya Bay Marine Biol Res Stn, Shenzhen, Peoples R China.
RP Wang, YS (corresponding author), Chinese Acad Sci, State Key Lab Trop Oceanog, South China Sea Inst Oceanol, Guangzhou, Guangdong, Peoples R China.
EM yswang@scsio.ac.cn
CR Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
Biers EJ, 2008, APPL ENVIRON MICROB, V74, P2933, DOI 10.1128/AEM.02129-07
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Fu YY, 2013, FEMS MICROBIOL ECOL, V84, P564, DOI 10.1111/1574-6941.12085
Fu YY, 2010, AQUAT MICROB ECOL, V59, P283, DOI 10.3354/ame01398
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Gordon D, 2001, GENOME RES, V11, P614, DOI 10.1101/gr.171401
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Han W.Y., 1998, MARINE CHEM S CHINA
Henriques IS, 2004, FEMS MICROBIOL ECOL, V49, P269, DOI 10.1016/j.femsec.2004.04.003
Hill PG, 2010, FEMS MICROBIOL LETT, V306, P82, DOI 10.1111/j.1574-6968.2010.01940.x
Jardillier L, 2010, ISME J, V4, P1180, DOI 10.1038/ismej.2010.36
Lang AS, 2007, TRENDS MICROBIOL, V15, P54, DOI 10.1016/j.tim.2006.12.001
Lang AS, 2000, P NATL ACAD SCI USA, V97, P859, DOI 10.1073/pnas.97.2.859
Lenk S, 2012, ISME J, V6, P2178, DOI 10.1038/ismej.2012.66
Leps J., 2003, Multivariate Analysis of Ecological Data Using CANOCOTM
Liu HB, 1997, AQUAT MICROB ECOL, V12, P39, DOI 10.3354/ame012039
Lu ZM, 2010, J MARINE SYST, V82, P35, DOI 10.1016/j.jmarsys.2010.03.002
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
McDaniel LD, 2010, SCIENCE, V330, P50, DOI 10.1126/science.1192243
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Qu T, 2000, J GEOPHYS RES-OCEANS, V105, P6415, DOI 10.1029/1999JC900323
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SOLIOZ M, 1977, ARCH BIOCHEM BIOPHYS, V181, P300, DOI 10.1016/0003-9861(77)90508-2
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Zhao YL, 2009, ISME J, V3, P364, DOI 10.1038/ismej.2008.115
NR 36
TC 9
Z9 13
PD NOV 3
PY 2014
VL 9
IS 11
AR e111892
DI 10.1371/journal.pone.0111892
UT WOS:000345558100134
DA 2025-07-30
ER
PT J
AU Brown, MV
Schwalbach, MS
Hewson, I
Fuhrman, JA
AF Brown, MV
Schwalbach, MS
Hewson, I
Fuhrman, JA
TI Coupling 16S-ITS rDNA clone libraries and automated ribosomal intergenic
spacer analysis to show marine microbial diversity: development and
application to a time series
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We outline an approach to simultaneously assess multilevel microbial diversity patterns utilizing 16S-ITS rDNA clone libraries coupled with automated ribosomal intergenic spacer analysis (ARISA). Sequence data from 512 clones allowed estimation of ARISA fragment lengths associated with bacteria in a coastal marine environment. We matched 92% of ARISA peaks (each comprising > 1% total amplified product) with corresponding lengths from clone libraries. These peaks with putative identification accounted for an average of 83% of total amplified community DNA. At 16S rDNA similarities < 98%, most taxa displayed differences in ARISA fragment lengths > 10 bp, readily detectable and suggesting ARISA resolution is near the 'species' level. Prochlorococcus abundance profiles from ARISA were strongly correlated (r (2) = 0.86) to Prochlorococcus cell counts, indicating ARISA data are roughly proportional to actual cell abundance within a defined taxon. Analysis of ARISA profiles for 42 months elucidated patterns of microbial presence and abundance providing insights into community shifts and ecological niches for specific organisms, including a coupling of ecological patterns for taxa within the Prochlorococcus, the Gamma Proteobacteria and Actinobacteria. Clade-specific ARISA protocols were developed for the SAR11 and marine cyanobacteria to resolve ambiguous identifications and to perform focused studies. 16S-ITS data allowed high-resolution identification of organisms by ITS sequence analysis, and examination of microdiversity.
C1 Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
Univ So Calif, Wrigley Inst Marine Studies, Los Angeles, CA 90089 USA.
RP Univ So Calif, Dept Biol Sci, 3616 Trousdale Pkwy,AHF B4, Los Angeles, CA 90089 USA.
EM mbrown@ifa.hawaii.edu
CR AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
AVANISSAGHAJANI E, 1994, BIOTECHNIQUES, V17, P144
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Binder BJ, 1996, DEEP-SEA RES PT II, V43, P907, DOI 10.1016/0967-0645(96)00023-9
CAMPBELL L, 1994, LIMNOL OCEANOGR, V39, P954, DOI 10.4319/lo.1994.39.4.0954
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Grant A, 2004, MOL ECOL NOTES, V4, P133, DOI 10.1111/j.1471-8286.2004.00590.x
Hayward TL, 1998, DEEP-SEA RES PT II, V45, P1617, DOI 10.1016/S0967-0645(98)80010-6
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Hewson I, 2003, MICROB ECOL, V46, P337, DOI 10.1007/s00248-002-1041-0
Hugenholtz P, 2002, GENOME BIOL, V3
Jaspers E, 2004, APPL ENVIRON MICROB, V70, P4831, DOI 10.1128/AEM.70.8.4831-4839.2004
Kent AD, 2002, ANNU REV MICROBIOL, V56, P211, DOI 10.1146/annurev.micro.56.012302.161120
Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Ranjard L, 2000, APPL ENVIRON MICROB, V66, P5334, DOI 10.1128/AEM.66.12.5334-5339.2000
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Schloter M, 2000, FEMS MICROBIOL REV, V24, P647, DOI 10.1111/j.1574-6976.2000.tb00564.x
Schwalbach MS, 2004, AQUAT MICROB ECOL, V34, P117, DOI 10.3354/ame034117
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Yannarell AC, 2005, APPL ENVIRON MICROB, V71, P227, DOI 10.1128/AEM.71.1.227-239.2005
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 39
TC 214
Z9 250
PD SEP
PY 2005
VL 7
IS 9
BP 1466
EP 1479
DI 10.1111/j.1462-2920.2005.00835.x
UT WOS:000231024000019
DA 2025-07-30
ER
PT J
AU Schauer, M
Balagué, V
Pedrós-Alió, C
Massana, R
AF Schauer, M
Balagué, V
Pedrós-Alió, C
Massana, R
TI Seasonal changes in the taxonomic composition of bacterioplankton in a
coastal oligotrophic system
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB The succession of taxa within the bacterioplankton assemblage was followed over a whole seasonal cycle in Blanes Bay, an oligotrophic coastal system (average chl a: 0.5 mug l(-1)) in the NW Mediterranean Sea. Phylogenetic composition of the bacterioplankton was studied by means of DGGE (denaturing gradient gel electrophoresis) and sequencing of predominant bands. Analysis of DGGE fingerprints showed gradual changes in the dominant bacterial members over the sampling period. The time scale during which a single population appeared in significant amounts in the system ranged between weeks and months. Most of the DGGE bands sequenced showed high similarities to sequences of uncultured marine bacteria. The bacterial assemblage appeared to be dominated by members of alpha-Proteobacteria (mostly from the Roseobacter clade), Cytophaga-Flavobacteria-Bacteroides (CFB) and cyanobacteria throughout the year. Two bands related to prasinophyte chloroplasts were detected, whereas no bands related to SAR11 (alpha-Proteobacteria) or SAR86 (gamma-Proteobacteria) clusters were found. Contrasting with the relative stability of broad phylogenetic groups, examination of bands belonging to alpha-Proteobacteria, CFB and cyanobacteria revealed a substitution of closely related phylotypes during the seasonal cycle within each one of these 3 groups. Overall, the taxonomic composition of the bacterioplankton in this coastal marine system appeared to be rather stable in time, showing gradual changes throughout the year.
C1 CSIC, Inst Ciencies Mar, CMIMA, E-08003 Barcelona, Catalonia, Spain.
RP Massana, R (corresponding author), CSIC, Inst Ciencies Mar, CMIMA, Passeig Maritim Barceloneta 37-49, E-08003 Barcelona, Catalonia, Spain.
CR Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Béjà O, 2002, APPL ENVIRON MICROB, V68, P335, DOI 10.1128/AEM.68.1.335-345.2002
Casamayor EO, 2002, APPL ENVIRON MICROB, V68, P1706, DOI 10.1128/AEM.68.4.1706-1714.2002
Casamayor EO, 2000, APPL ENVIRON MICROB, V66, P499, DOI 10.1128/AEM.66.2.499-508.2000
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Díez B, 2001, APPL ENVIRON MICROB, V67, P2942, DOI 10.1128/AEM.67.7.2942-2951.2001
Duarte CM, 1999, PROG OCEANOGR, V44, P245, DOI 10.1016/S0079-6611(99)00028-2
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Gray ND, 2001, ENVIRON MICROBIOL, V3, P481, DOI 10.1046/j.1462-2920.2001.00214.x
Jaspers E, 2001, FEMS MICROBIOL ECOL, V36, P153, DOI 10.1016/S0168-6496(01)00129-5
Kelly KM, 2001, FEMS MICROBIOL ECOL, V35, P85, DOI 10.1016/S0168-6496(00)00115-X
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Lindström ES, 1998, FEMS MICROBIOL ECOL, V27, P163, DOI 10.1016/S0168-6496(98)00065-8
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
Masó M, 1991, J MARINE SYST, V1, P441, DOI 10.1016/0924-7963(91)90008-I
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Muyzer G., 1997, MOL MICROBIAL ECOLOG, P1
Nübel U, 1999, APPL ENVIRON MICROB, V65, P422
Olsen R, 1993, HDB METHODS AQUATIC, P175
PAUL JH, 1982, APPL ENVIRON MICROB, V43, P1393, DOI 10.1128/AEM.43.6.1393-1399.1982
Pernthaler J, 1998, APPL ENVIRON MICROB, V64, P4299
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Riemann L, 2002, AQUAT MICROB ECOL, V27, P219, DOI 10.3354/ame027219
Riemann L, 1999, DEEP-SEA RES PT II, V46, P1791, DOI 10.1016/S0967-0645(99)00044-2
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Schauer M, 2000, FEMS MICROBIOL ECOL, V33, P51, DOI 10.1016/S0168-6496(00)00043-X
Simek K, 1999, LIMNOL OCEANOGR, V44, P1634
Stackebrandt E., 1995, MOL MICROBIAL ECOLOG, V1, P1
Suzuki MT, 1999, AQUAT MICROB ECOL, V20, P261, DOI 10.3354/ame020261
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
van Hannen EJ, 1999, APPL ENVIRON MICROB, V65, P795
Vaque D, 1997, AQUAT MICROB ECOL, V12, P71, DOI 10.3354/ame012071
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
Yager PL, 2001, LIMNOL OCEANOGR, V46, P790, DOI 10.4319/lo.2001.46.4.0790
YENTSCH CS, 1963, DEEP-SEA RES, V10, P221, DOI 10.1016/0011-7471(63)90358-9
NR 48
TC 164
Z9 172
PD MAR 13
PY 2003
VL 31
IS 2
BP 163
EP 174
DI 10.3354/ame031163
UT WOS:000181870100005
DA 2025-07-30
ER
PT J
AU Thompson, MA
Valentine, DL
Peng, XF
AF Thompson, Madeleine A.
Valentine, David L.
Peng, Xuefeng
TI Size fractionation informs microbial community composition and
interactions in the eastern tropical North Pacific Ocean
SO FEMS MICROBES
DT Article
AB Marine microorganisms are drivers of biogeochemical cycles in the world's oceans, including oxygen minimum zones (OMZs). Using a metabarcoding survey of the 16S rRNA gene, we investigated prokaryotic communities, as well as their potential interactions with fungi, at the coastal, offshore, and peripheral OMZ of the eastern tropical North Pacific. Water samples were collected along a vertical oxygen gradient, and large volumes were filtered through three size fractions, 0.22, 2, and 22 mu m. The changes in community composition along the oxygen gradient were driven by Planctomycetota, Bacteroidota, Verrucomicrobiota, and Gammaproteobacteria; most are known degraders of marine polysaccharides and usually associated with the large particle-associated (LPA) community. The relative abundance of Nitrososphaerota, Alphaproteobacteria, Actinomycetota, and Nitrospinota was high in free-living and small particle-associated (SPA) communities. Network analyses identified putative interactions between fungi and prokaryotes in the particle-associated fractions, which have been largely overlooked in the ocean. In the SPAnetwork analysis, fungal amplicon sequence variants (ASVs) had exclusively negative connections with SAR11 nodes. In the LPA network analysis, fungal ASVs displayed both negative and positive connections with Pseudomonadota, SAR324, and Thermoplasmatota. Our findings demonstrate the utility of three-stage size-fractioned filtration in providing novel insights into marine microbial ecology.
Large-volume size-fractioned filtration informs prokaryotic community composition and interactions between prokaryotes and marine fungi in the eastern tropical North Pacific Ocean oxygen minimum zone.
C1 [Thompson, Madeleine A.; Peng, Xuefeng] Univ South Carolina, Sch Earth Ocean & Environm, 701 Sumter St,EWS 617, Columbia, SC 29201 USA.
[Valentine, David L.; Peng, Xuefeng] Univ Calif Santa Barbara, Marine Sci Inst, Santa Barbara, CA 93106 USA.
[Valentine, David L.] Univ Calif Santa Barbara, Dept Earth Sci, Santa Barbara, CA 93106 USA.
RP Peng, XF (corresponding author), Univ South Carolina, Sch Earth Ocean & Environm, 701 Sumter St,EWS 617, Columbia, SC 29201 USA.
EM xpeng@seoe.sc.edu
CR Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Bandekar M., 2016, Biogeosciences Discussions, V2016, P1, DOI [10.5194/bg-2016-147, DOI 10.5194/BG-2016-147]
Bandekar M, 2018, DEEP-SEA RES PT II, V156, P19, DOI 10.1016/j.dsr2.2018.08.008
Bandekar M, 2018, DEEP-SEA RES PT II, V156, P4, DOI 10.1016/j.dsr2.2017.12.015
Banerjee S, 2018, NAT REV MICROBIOL, V16, P567, DOI 10.1038/s41579-018-0024-1
Beman JM, 2021, ENVIRON MICROBIOL, V23, P2765, DOI 10.1111/1462-2920.15215
Beman JM, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3705
Bensch K, 2012, STUD MYCOL, P1, DOI 10.3114/sim0003
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Bertagnolli AD, 2017, ENVIRON MICROBIOL, V19, P4392, DOI 10.1111/1462-2920.13879
Birolli WG, 2018, MAR POLLUT BULL, V129, P525, DOI 10.1016/j.marpolbul.2017.10.023
Borcard D, 2011, USE R, P1, DOI 10.1007/978-1-4419-7976-6
Bowman J. P., 2015, Bergey's Manual of Systematics of Archaea and Bacteria, P1, DOI [DOI 10.1002/9781118960608.GBM00287, 10.1002/9781118960608.gbm00288, DOI 10.1002/9781118960608.GBM00288]
BRAMAN RS, 1989, ANAL CHEM, V61, P2715, DOI 10.1021/ac00199a007
Breitburg D, 2018, SCIENCE, V359, P46, DOI 10.1126/science.aam7240
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Bueno E, 2012, ANTIOXID REDOX SIGN, V16, P819, DOI 10.1089/ars.2011.4051
Callbeck CM, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21115-5
Cameron ES, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-01636-1
Canfield DE, 2022, ENVIRON MICROBIOL, V24, P5332, DOI 10.1111/1462-2920.16192
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carolan MT, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00334
Chavda ND, 2014, PHYS LETT A, V378, P3012, DOI 10.1016/j.physleta.2014.08.021
Chen IMA, 2023, NUCLEIC ACIDS RES, V51, pD723, DOI 10.1093/nar/gkac976
Cheung SY, 2016, J PLANKTON RES, V38, P380, DOI 10.1093/plankt/fbw003
CODISPOTI LA, 1986, SCIENCE, V233, P1200, DOI 10.1126/science.233.4769.1200
Crenn K, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02879
Davies EJ, 2014, APPL OPTICS, V53, P1067, DOI 10.1364/AO.53.001067
de Boyer Montégut C, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002378
Raposo MFD, 2013, MAR DRUGS, V11, P233, DOI 10.3390/md11010233
Deng Y, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-113
Duret MT, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv037
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Faull LM, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00360
FELL JW, 1967, B MAR SCI, V17, P454
Fernandes GL, 2020, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.03153
Friedman J, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002687
Fuchsman CA, 2019, ISME J, V13, P2714, DOI 10.1038/s41396-019-0452-6
Galán A, 2009, DEEP-SEA RES PT II, V56, P1125, DOI 10.1016/j.dsr2.2008.09.016
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Garcia-Robledo E, 2017, P NATL ACAD SCI USA, V114, P8319, DOI 10.1073/pnas.1619844114
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Guimerà R, 2005, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2005/02/P02001
Guo RY, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.1041521
Hawley AK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01376-9
Henríquez-Castillo C, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.993667
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
James CC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30139-4
Kalvelage T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133526
Karstensen J, 2008, PROG OCEANOGR, V77, P331, DOI 10.1016/j.pocean.2007.05.009
Kelly CL, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2020GB006637
Klawonn I, 2015, ISME J, V9, P1456, DOI 10.1038/ismej.2014.232
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Kurtz ZD, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004226
Lage OM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00267
Langfelder P, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-559
Langwig MV, 2022, ISME J, V16, P307, DOI 10.1038/s41396-021-01057-y
Lavin P, 2010, ENV MICROBIOL REP, V2, P728, DOI 10.1111/j.1758-2229.2010.00167.x
Lee W, 2023, MYCOKEYS, P87, DOI 10.3897/mycokeys.98.101918
Legendre P, 2018, ECOGRAPHY, V41, P1820, DOI 10.1111/ecog.03498
Long ANM, 2021, ISME J, V15, P183, DOI 10.1038/s41396-020-00773-1
Lüke C, 2016, PEERJ, V4, DOI 10.7717/peerj.1924
Maerz J, 2020, BIOGEOSCIENCES, V17, P1765, DOI 10.5194/bg-17-1765-2020
Masigol H, 2019, LIMNOL OCEANOGR, V64, P2662, DOI 10.1002/lno.11242
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mestre M, 2017, MOL ECOL, V26, P6827, DOI 10.1111/mec.14421
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Moi IM, 2017, APPL MICROBIOL BIOT, V101, P4371, DOI 10.1007/s00253-017-8300-y
Molina V, 2007, APPL ENVIRON MICROB, V73, P3547, DOI 10.1128/AEM.02275-06
Mukherjee S, 2023, NUCLEIC ACIDS RES, V51, pD957, DOI 10.1093/nar/gkac974
Mulla A, 2018, DEEP-SEA RES PT II, V156, P27, DOI 10.1016/j.dsr2.2017.12.014
Mussmann M, 2017, ISME J, V11, P1276, DOI 10.1038/ismej.2016.185
Oksanen, 2022, VEGAN COMMUNITY ECOL
Orellana LH, 2022, ISME J, V16, P630, DOI 10.1038/s41396-021-01105-7
Orsi WD, 2016, ISME J, V10, P2158, DOI 10.1038/ismej.2016.20
Paerl HW, 2013, MICROB ECOL, V65, P995, DOI 10.1007/s00248-012-0159-y
Pajares S, 2021, AQUAT MICROB ECOL, V87, P151, DOI 10.3354/ame01975
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
PATUREAU D, 1994, FEMS MICROBIOL ECOL, V14, P71, DOI 10.1016/0168-6496(94)90083-3
Peng XF, 2024, BIOGEOSCIENCES, V21, P3041, DOI 10.5194/bg-21-3041-2024
Peng XF, 2021, J FUNGI, V7, DOI 10.3390/jof7100802
Peng XF, 2021, J FUNGI, V7, DOI 10.3390/jof7030218
Peng XF, 2016, J GEOPHYS RES-OCEANS, V121, P1667, DOI 10.1002/2015JC011455
Peng XF, 2015, GLOBAL BIOGEOCHEM CY, V29, P2034, DOI 10.1002/2015GB005278
Peng XF, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00177
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rajpathak SN, 2018, J BIOSCIENCES, V43, P635, DOI 10.1007/s12038-018-9781-2
Rangamaran VR, 2023, MICROB ECOL, V85, P357, DOI 10.1007/s00248-021-01952-z
Read DA, 2016, J VIROL METHODS, V237, P107, DOI 10.1016/j.jviromet.2016.09.004
Röttjers L, 2018, FEMS MICROBIOL REV, V42, P761, DOI 10.1093/femsre/fuy030
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Silverman JD, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009113
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Strickland J., 1970, A Practical Handbook of Seawater Analysis
Suter EA, 2018, ENVIRON MICROBIOL, V20, P693, DOI 10.1111/1462-2920.13997
Taylor BW, 2007, J N AM BENTHOL SOC, V26, P167, DOI 10.1899/0887-3593(2007)26[167:ITFAMM]2.0.CO;2
Taylor JD, 2017, ENV MICROBIOL REP, V9, P151, DOI 10.1111/1758-2229.12513
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Thompson L., 2018, EMP 16S Illumina Amplicon Protocol, DOI [DOI 10.17504/PROTOCOLS.IO.NUUDEWW, 10.17504/protocols.io.nuudeww]
TIBBLES BJ, 1994, MICROBIAL ECOL, V27, P65, DOI 10.1007/BF00170115
Torres-Beltrán M, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00132
Tracey JC., 2022, Biogeochemistry: Open Ocean, V20, P2499
Travis NM, 2023, BIOGEOSCIENCES, V20, P325, DOI 10.5194/bg-20-325-2023
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Turner JT, 2002, AQUAT MICROB ECOL, V27, P57, DOI 10.3354/ame027057
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Unfried F, 2018, ISME J, V12, P2894, DOI 10.1038/s41396-018-0243-5
VAULOT D, 1995, SCIENCE, V268, P1480, DOI 10.1126/science.268.5216.1480
Vuillemin A, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.00216-22
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Wu C, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.987462
Xiao NJ, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2109995119
Xu L, 2022, BIORESOURCE TECHNOL, V348, DOI 10.1016/j.biortech.2022.126802
Zehr JP, 1998, APPL ENVIRON MICROB, V64, P3444
Zhang K, 2022, J HAZARD MATER, V437, DOI 10.1016/j.jhazmat.2022.129406
Zhou JZ, 2010, MBIO, V1, DOI 10.1128/mBio.00169-10
Zhou JZ, 2011, MBIO, V2, DOI 10.1128/mBio.00122-11
Zielinska M, 2016, ENVIRON TECHNOL, V37, P2358, DOI 10.1080/09593330.2016.1150350
NR 123
TC 1
Z9 1
PD SEP 26
PY 2024
VL 5
AR xtae028
DI 10.1093/femsmc/xtae028
UT WOS:001319731300001
DA 2025-07-30
ER
PT J
AU Yamahara, KM
Preston, CM
Birch, J
Walz, K
Marin, R
Jensen, S
Pargett, D
Roman, B
Ussler, W
Zhang, YW
Ryan, J
Hobson, B
Kieft, B
Raanan, B
Goodwin, KD
Chavez, FP
Scholin, C
AF Yamahara, Kevan M.
Preston, Christina M.
Birch, James
Walz, Kristine
Marin, Roman, III
Jensen, Scott
Pargett, Douglas
Roman, Brent
Ussler, William, III
Zhang, Yanwu
Ryan, John
Hobson, Brett
Kieft, Brian
Raanan, Ben
Goodwin, Kelly D.
Chavez, Francisco P.
Scholin, Christopher
TI In situ Autonomous Acquisition and Preservation of Marine
Environmental DNA Using an Autonomous Underwater Vehicle
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Environmental DNA (eDNA) can be used to identify macroorganisms and describe biodiversity, and thus has promise to supplement biological monitoring in marine ecosystems. Despite this promise, scaling sample acquisition to the spatial and temporal scales needed for effective monitoring would require prohibitively large investments in time and human resources. To address this challenge, we evaluated the efficacy of an autonomous eDNA sampling system and compare results obtained to traditional eDNA sampling methods. The autonomous sampling instrument consisted of the Environmental Sample Processor (ESP) coupled to an autonomous underwater vehicle (AUV). We tested equivalency between the ESP and traditional eDNA sampling techniques by comparing the quantification of eDNA across a broad range of taxa, from microbes (SAR11), phytoplankton (Pseudo-nitzschia spp.), and invertebrates (krill: Euphausia pacifica) to vertebrates (anchovy: Engraulis mordax). No significant differences in eDNA densities were observed between the two sample collection and filtration methods. eDNA filters collected by the ESP were preserved and stable for 21 days, the typical deployment length of the instrumentation. Finally, we demonstrated the unique capabilities of an autonomous, mobile ESP during a deployment near Monterey Bay, CA, by remotely and repeatedly sampling a water mass over 12 h. The development of a mobile ESP demonstrates the promise of utilizing eDNA measurements to observe complex biological processes in the ocean absent a human presence.
C1 [Yamahara, Kevan M.; Preston, Christina M.; Birch, James; Walz, Kristine; Marin, Roman, III; Jensen, Scott; Pargett, Douglas; Roman, Brent; Ussler, William, III; Zhang, Yanwu; Ryan, John; Hobson, Brett; Kieft, Brian; Raanan, Ben; Chavez, Francisco P.; Scholin, Christopher] Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
[Goodwin, Kelly D.] NOAA, Ocean Chem & Ecosyst Div, Atlantic Oceanog & Meteorol Lab, NMFS,SWFSC, Miami, FL USA.
RP Yamahara, KM (corresponding author), Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
EM kyamahara@mbari.org
CR Andruszkiewicz EA, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0176343
[Anonymous], BIORXIV
[Anonymous], P 2012 IEEE OES AUT
[Anonymous], FRONT MAR SCI
Aylward FO, 2015, P NATL ACAD SCI USA, V112, P5443, DOI 10.1073/pnas.1502883112
Baker CS, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00133
Barnes MA, 2014, ENVIRON SCI TECHNOL, V48, P1819, DOI 10.1021/es404734p
Bista I, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14087
Blackman RC, 2017, AQUAT INVASIONS, V12, P177, DOI 10.3391/ai.2017.12.2.06
Bohmann K, 2014, TRENDS ECOL EVOL, V29, P358, DOI 10.1016/j.tree.2014.04.003
Borman PJ, 2009, ANAL CHEM, V81, P9849, DOI 10.1021/ac901945f
Bowers HA, 2018, HARMFUL ALGAE, V78, P129, DOI 10.1016/j.hal.2018.08.006
Deiner K, 2017, MOL ECOL, V26, P5872, DOI 10.1111/mec.14350
Djurhuus A, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00314
Doi H, 2017, LIMNOL OCEANOGR-METH, V15, P939, DOI 10.1002/lom3.10214
Doucette GJ, 2009, HARMFUL ALGAE, V8, P880, DOI 10.1016/j.hal.2009.04.006
Eichmiller JJ, 2016, MOL ECOL RESOUR, V16, P56, DOI 10.1111/1755-0998.12421
Evans NT, 2017, FISHERIES, V42, P90, DOI 10.1080/03632415.2017.1276329
Ficetola GF, 2008, BIOL LETTERS, V4, P423, DOI 10.1098/rsbl.2008.0118
Fitzpatrick E, 2010, MAR BIOL, V157, P1161, DOI 10.1007/s00227-009-1383-y
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goldberg CS, 2016, METHODS ECOL EVOL, V7, P1299, DOI 10.1111/2041-210X.12595
Goldberg CS, 2015, BIOL CONSERV, V183, P1, DOI 10.1016/j.biocon.2014.11.040
Goodwin KD, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00107
Gorokhova E, 2005, LIMNOL OCEANOGR-METH, V3, P143, DOI 10.4319/lom.2005.3.143
Govindarajan AF, 2015, J EXP MAR BIOL ECOL, V472, P158, DOI 10.1016/j.jembe.2015.07.012
Harper LR, 2018, ECOL EVOL, V8, P6330, DOI 10.1002/ece3.4013
Herfort L, 2016, LIMNOL OCEANOGR-METH, V14, P50, DOI 10.1002/lom3.10069
Hinlo R, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0179251
Hoffmann C, 2016, MOL ECOL, V25, P846, DOI 10.1111/mec.13535
Hopkins GW, 2002, ANIM CONSERV, V5, P245, DOI 10.1017/S1367943002002299
Jerde CL, 2019, MOL ECOL RESOUR, V19, P19, DOI 10.1111/1755-0998.12929
JONES JB, 1992, NEW ZEAL J MAR FRESH, V26, P59, DOI 10.1080/00288330.1992.9516500
Kelly RP, 2018, PEERJ, V6, DOI 10.7717/peerj.4521
Lacoursière-Roussel A, 2016, MOL ECOL RESOUR, V16, P1401, DOI 10.1111/1755-0998.12522
Lafferty KD, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00355
Laroche O, 2017, PEERJ, V5, DOI 10.7717/peerj.3347
Miloslavich P, 2018, GLOBAL CHANGE BIOL, V24, P2416, DOI 10.1111/gcb.14108
Minamoto T, 2016, LIMNOLOGY, V17, P23, DOI 10.1007/s10201-015-0457-4
Muller-Karger FE, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00211
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Pargett DM., 2015, OCEANS 2015-MTS/IEEE Washington, P1, DOI [10.23919/OCEANS.2015.7404361, DOI 10.23919/OCEANS.2015.7404361]
Pereira HM, 2013, SCIENCE, V339, P277, DOI 10.1126/science.1229931
Pochon X, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0187636
Port JA, 2016, MOL ECOL, V25, P527, DOI 10.1111/mec.13481
Preston CM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022522
Preston CM, 2009, ENVIRON MICROBIOL, V11, P1168, DOI 10.1111/j.1462-2920.2009.01848.x
R Core Team, 2017, R LANG ENV STAT COMP
Renshaw MA, 2015, MOL ECOL RESOUR, V15, P168, DOI 10.1111/1755-0998.12281
Robidart JC, 2014, ISME J, V8, P1175, DOI 10.1038/ismej.2013.244
Ryan J, 2011, LIMNOL OCEANOGR, V56, P1255, DOI 10.4319/lo.2011.56.4.1255
Saito MA, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00215
Sassoubre LM, 2016, ENVIRON SCI TECHNOL, V50, P10456, DOI 10.1021/acs.est.6b03114
Scholin CA, 2017, OCEANOGRAPHY, V30, P100, DOI 10.5670/oceanog.2017.427
Sigsgaard EE, 2017, MAR BIOL, V164, DOI 10.1007/s00227-017-3147-4
Simister RL, 2011, J EXP MAR BIOL ECOL, V397, P38, DOI 10.1016/j.jembe.2010.11.004
Simmons M, 2016, CAN J FISH AQUAT SCI, V73, P76, DOI 10.1139/cjfas-2015-0262
Spens J, 2017, METHODS ECOL EVOL, V8, P635, DOI 10.1111/2041-210X.12683
Stoeckle MY, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0175186
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Taberlet P, 2018, ENVIRONMENTAL DNA: FOR BIODIVERSITY RESEARCH AND MONITORING, P1, DOI 10.1093/oso/9780198767220.001.0001
Taylor CD, 2015, DEEP-SEA RES PT I, V96, P69, DOI 10.1016/j.dsr.2014.09.006
Thomsen PF, 2015, BIOL CONSERV, V183, P4, DOI 10.1016/j.biocon.2014.11.019
Thomsen PF, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041732
Tillotson MD, 2018, BIOL CONSERV, V220, P1, DOI 10.1016/j.biocon.2018.01.030
Ussler W, 2013, ENVIRON SCI TECHNOL, V47, P9339, DOI 10.1021/es4023199
Uthicke S, 2018, CORAL REEFS, V37, P1229, DOI 10.1007/s00338-018-1734-6
Valentini A, 2016, MOL ECOL, V25, P929, DOI 10.1111/mec.13428
Walsh David A, 2009, J Vis Exp, DOI 10.3791/1163
Wheeler QD, 2004, SCIENCE, V303, P285, DOI 10.1126/science.303.5656.285
Williams Kelly E., 2016, BMC Research Notes, V9, P298, DOI 10.1186/s13104-016-2104-5
Yamahara KM, 2015, LETT APPL MICROBIOL, V61, P130, DOI 10.1111/lam.12432
Yamamoto S, 2017, SCI REP-UK, V7, DOI 10.1038/srep40368
Zhang YD, 2015, MATH PROBL ENG, V2015, DOI 10.1155/2015/931256
NR 75
TC 101
Z9 107
PD JUL 16
PY 2019
VL 6
AR 373
DI 10.3389/fmars.2019.00373
UT WOS:000475989000001
DA 2025-07-30
ER
PT J
AU Zhang, SH
Xu, LY
Kong, DD
Tan, XF
AF Zhang, Sihai
Xu, Linya
Kong, Dedong
Tan, Xiangfeng
TI Assessing the shaping factors for archaeal and bacterial communities in
tidal wetland soils contaminated with polycyclic aromatic hydrocarbons
SO ENVIRONMENTAL TECHNOLOGY & INNOVATION
DT Article
AB The environment and biome of coastal ecosystems are challenged by diverse human disturbances including soil pollution. Both archaea and bacteria are the main players in the biogeochemical cycling of coastal ecosystems, but their interactions with soil factors are far from being elucidated. In the tidal flats of Hangzhou Bay China, 16 soil physiochemical properties were discerned, including the major organic pollutants of polycyclic aromatic hydrocarbons (PAHs). Soil salinity, dissolved organic carbon, and PAHs varied between tidal soils and exhibited differential impacts on microbial commu-nities. Particularly, soil salinity interacted with the beta diversity of both bacterial and archaeal communities. In comparison, soil dissolved organic carbon exhibited immense impacts on bacterial alpha diversity, beta diversity, and individual taxa but not on archaeal ones. Moreover, soil PAHs exhibited an average concentration of 463.21 mu g/kg in the tidal soils and were significantly correlated with bacterial alpha diversity and two bacterial genera of Algoriphagus and Candidatus Pelagibacter Additionally, archaeal and bacterial communities exhibited a strong correlation, suggesting a role of inter-kingdom interactions in shaping the microbiomes in tidal soils. Overall, our results indicated the differential impacts of soil factors on archaeal and bacterial communities. In the context of increasing human disturbance in coastal ecosystems, our findings are valuable for comprehending the determinants that influence microbial community assembly. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
C1 [Zhang, Sihai] Lishui Univ, Sch Ecol, Lishui 323000, Zhejiang, Peoples R China.
[Zhang, Sihai; Xu, Linya; Tan, Xiangfeng] Zhejiang Univ, Inst Soil & Water Resources & Environm Sci, Coll Environm & Resource Sci, Hangzhou 310058, Zhejiang, Peoples R China.
[Kong, Dedong; Tan, Xiangfeng] Zhejiang Acad Agr Sci, Inst Digital Agr, Hangzhou 310021, Peoples R China.
RP Tan, XF (corresponding author), Zhejiang Univ, Inst Soil & Water Resources & Environm Sci, Coll Environm & Resource Sci, Hangzhou 310058, Zhejiang, Peoples R China.
EM zhangsihai2352@163.com; blueeestar@foxmail.com; ntzx@zju.edu.cn;
tan_xiangfeng@yeah.net
CR Aalto SL, 2018, ENVIRON MICROBIOL, V20, P3616, DOI 10.1111/1462-2920.14354
Adeleye AO, 2016, SCI TOTAL ENVIRON, V541, P1540, DOI 10.1016/j.scitotenv.2015.09.124
Ahmad M, 2019, J HAZARD MATER, V380, DOI 10.1016/j.jhazmat.2019.120863
Auguet JC, 2010, ISME J, V4, P182, DOI 10.1038/ismej.2009.109
Baker BJ, 2020, NAT MICROBIOL, V5, P887, DOI 10.1038/s41564-020-0715-z
Brakstad OG, 2015, MICROB BIOTECHNOL, V8, P989, DOI 10.1111/1751-7915.12303
Chen C., 2013, P INT C BIOINF COMP, P706, DOI DOI 10.1145/2506583.2512377
Chen JR, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0714-6
Chen M, 2015, BIOTECHNOL ADV, V33, P745, DOI 10.1016/j.biotechadv.2015.05.003
Craft C, 2009, FRONT ECOL ENVIRON, V7, P73, DOI 10.1890/070219
Dai CM, 2022, ENVIRON RES, V205, DOI 10.1016/j.envres.2021.112423
Dai TJ, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw150
Daniel A., 2017, PACKAGE MDMR
Dauner ALL, 2016, ENVIRON TECHNOL INNO, V5, P41, DOI 10.1016/j.eti.2015.12.002
de Mendiburu Felipe, 2023, CRAN
Deegan LA, 2012, NATURE, V490, P388, DOI 10.1038/nature11533
Doxey AC, 2015, ISME J, V9, P461, DOI 10.1038/ismej.2014.142
Du JQ, 2022, ENVIRON POLLUT, V298, DOI 10.1016/j.envpol.2022.118823
Du SC, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00322-20
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Gorovtsov A, 2022, ENVIRON GEOCHEM HLTH, V44, P1299, DOI 10.1007/s10653-021-01059-x
Gorovtsov A, 2019, J SOIL SEDIMENT, V19, P3127, DOI 10.1007/s11368-018-2019-y
Guo ZY, 2020, GLOBAL ECOL BIOGEOGR, V29, P2159, DOI 10.1111/geb.13186
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
He Q, 2019, CURR BIOL, V29, pR1021, DOI 10.1016/j.cub.2019.08.042
He ZG, 2016, ACTA OCEANOL SIN, V35, P30, DOI 10.1007/s13131-016-0819-8
Herbert ER, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00534.1
Hoshino T, 2020, P NATL ACAD SCI USA, V117, P27587, DOI 10.1073/pnas.1919139117
Huang SL, 2020, WATER SCI ENG, V13, P34, DOI 10.1016/j.wse.2020.03.003
Huo YZ, 2011, J APPL PHYCOL, V23, P173, DOI 10.1007/s10811-010-9584-9
JIYU C, 1990, J COASTAL RES, V6, P559
Kirwan ML, 2013, NATURE, V504, P53, DOI 10.1038/nature12856
Le PC, 2022, ENVIRON TECHNOL INNO, V28, DOI 10.1016/j.eti.2022.102908
Lee DW, 2018, ENVIRON POLLUT, V234, P503, DOI 10.1016/j.envpol.2017.11.097
Li D, 2012, APPL ENVIRON MICROB, V78, P6819, DOI 10.1128/AEM.01223-12
Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
Li JY, 2020, WETLANDS, V40, P1433, DOI 10.1007/s13157-020-01286-5
Macreadie PI, 2017, FRONT ECOL ENVIRON, V15, P206, DOI 10.1002/fee.1484
MARAGOS JE, 1993, COAST MANAGE, V21, P235, DOI 10.1080/08920759309362207
Marschner B, 2003, GEODERMA, V113, P211, DOI 10.1016/S0016-7061(02)00362-2
McArdle BH, 2001, ECOLOGY, V82, P290, DOI 10.1890/0012-9658(2001)082[0290:FMMTCD]2.0.CO;2
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Minai-Tehrani D, 2009, B ENVIRON CONTAM TOX, V82, P179, DOI 10.1007/s00128-008-9548-9
Moissl-Eichinger C, 2018, TRENDS MICROBIOL, V26, P70, DOI 10.1016/j.tim.2017.07.004
Norman JS, 2016, SOIL BIOL BIOCHEM, V94, P169, DOI 10.1016/j.soilbio.2015.11.015
Paerl HW, 2002, ANTON LEEUW INT J G, V81, P487, DOI 10.1023/A:1020561422706
Parks DH, 2022, NUCLEIC ACIDS RES, V50, pD785, DOI 10.1093/nar/gkab776
Patel AB, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.562813
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Picariello E, 2020, ENVIRON POLLUT, V262, DOI 10.1016/j.envpol.2020.114378
Qu WD, 2019, J SOIL SEDIMENT, V19, P609, DOI 10.1007/s11368-018-2096-y
Reji L, 2019, ISME J, V13, P1144, DOI 10.1038/s41396-018-0311-x
Roessler M, 2001, ENVIRON MICROBIOL, V3, P743, DOI 10.1046/j.1462-2920.2001.00252.x
Ruttenberg BI, 2011, MAR ECOL PROG SER, V434, P203, DOI 10.3354/meps09132
Shao XX, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0142677
Spivak AC, 2019, NAT GEOSCI, V12, P685, DOI 10.1038/s41561-019-0435-2
Sundareshwar PV, 2003, SCIENCE, V299, P563, DOI 10.1126/science.1079100
Swan BK, 2010, APPL ENVIRON MICROB, V76, P757, DOI 10.1128/AEM.02409-09
Trevathan-Tackett SM, 2019, NAT ECOL EVOL, V3, P1509, DOI 10.1038/s41559-019-0999-7
Van Horn DJ, 2014, APPL ENVIRON MICROB, V80, P3034, DOI 10.1128/AEM.03414-13
von Meijenfeldt FAB, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1817-x
Wang WP, 2014, APPL MICROBIOL BIOT, V98, P7253, DOI 10.1007/s00253-014-5817-1
Waycott M, 2009, P NATL ACAD SCI USA, V106, P12377, DOI 10.1073/pnas.0905620106
Zeng SY, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16244928
Zhang GL, 2021, ENVIRON MICROBIOL, V23, P1020, DOI 10.1111/1462-2920.15281
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zhu RB, 2009, ATMOS ENVIRON, V43, P2336, DOI 10.1016/j.atmosenv.2009.01.027
NR 67
TC 3
Z9 3
PD AUG
PY 2023
VL 31
AR 103191
DI 10.1016/j.eti.2023.103191
EA MAY 2023
UT WOS:001000910900001
DA 2025-07-30
ER
PT J
AU Jessen, GL
Chen, LX
Mori, JF
Nelson, TEC
Slater, GF
Lindsay, MBJ
Banfield, JF
Warren, LA
AF Jessen, Gerdhard L.
Chen, Lin-Xing
Mori, Jiro F.
Nelson, Tara E. Colenbrander
Slater, Gregory F.
Lindsay, Matthew B. J.
Banfield, Jillian F.
Warren, Lesley A.
TI Alum Addition Triggers Hypoxia in an Engineered Pit Lake
SO MICROORGANISMS
DT Article
AB Here, we examine the geobiological response to a whole-lake alum (aluminum sulfate) treatment (2016) of Base Mine Lake (BML), the first pilot-scale pit lake established in the Alberta oil sands region. The rationale for trialing this management amendment was based on its successful use to reduce internal phosphorus loading to eutrophying lakes. Modest increases in water cap epilimnetic oxygen concentrations, associated with increased Secchi depths and chlorophyll-a concentrations, were co-incident with anoxic waters immediately above the fluid fine tailings (FFT) layer post alum. Decreased water cap nitrate and detectable sulfide concentrations, as well as increased hypolimnetic phospholipid fatty acid abundances, signaled greater anaerobic heterotrophic activity. Shifts in microbial community to groups associated with greater organic carbon degradation (i.e., SAR11-LD12 subclade) and the SRB group Desulfuromonodales emerged post alum and the loss of specialist groups associated with carbon-limited, ammonia-rich restricted niches (i.e., MBAE14) also occurred. Alum treatment resulted in additional oxygen consumption associated with increased autochthonous carbon production, watercap anoxia and sulfide generation, which further exacerbate oxygen consumption associated with on-going FFT mobilized reductants. The results illustrate the importance of understanding the broader biogeochemical implications of adaptive management interventions to avoid unanticipated outcomes that pose greater risks and improve tailings reclamation for oil sands operations and, more broadly, the global mining sector.
C1 [Jessen, Gerdhard L.] Univ Austral Chile, Inst Ciencias Marinas & Limnol, Valdivia 5090000, Chile.
[Jessen, Gerdhard L.; Mori, Jiro F.; Nelson, Tara E. Colenbrander; Warren, Lesley A.] Univ Toronto, Dept Civil & Mineral Engn, Toronto, ON M5S 1A4, Canada.
[Chen, Lin-Xing; Banfield, Jillian F.] Univ Calif Berkeley, Dept Earth & Planetary Sci, Berkeley, CA 94706 USA.
[Mori, Jiro F.] Yokohama City Univ, Grad Sch Nanobiosci, Yokohama, Kanagawa 2360027, Japan.
[Nelson, Tara E. Colenbrander; Slater, Gregory F.; Warren, Lesley A.] McMaster Univ, Sch Earth Environm & Soc, Hamilton, ON L8S 4L8, Canada.
[Lindsay, Matthew B. J.] Univ Saskatchewan, Dept Geol Sci, Saskatoon, SK S7N 5E2, Canada.
RP Jessen, GL (corresponding author), Univ Austral Chile, Inst Ciencias Marinas & Limnol, Valdivia 5090000, Chile.; Jessen, GL; Warren, LA (corresponding author), Univ Toronto, Dept Civil & Mineral Engn, Toronto, ON M5S 1A4, Canada.; Warren, LA (corresponding author), McMaster Univ, Sch Earth Environm & Soc, Hamilton, ON L8S 4L8, Canada.
EM gerdhard.jessen@uach.cl; linxingchen@berkeley.edu;
morij@yokohama-cu.ac.jp; tara.nelson@utoronto.ca; gslater@mcmaster.ca;
matt.lindsay@usask.ca; jbanfield@berkeley.edu; lesley.warren@utoronto.ca
CR Alberta Energy Regulator, 2020, STATE FLUID TAILINGS
Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Arriaga D, 2019, APPL GEOCHEM, V111, DOI 10.1016/j.apgeochem.2019.104442
Bates ST, 2011, ISME J, V5, P908, DOI 10.1038/ismej.2010.171
Bernardet J.-F., 2006, PROKARYOTES, V7, P481, DOI [DOI 10.1007/0-387-30747-8_17, 10.1007/0-387-30747-8_17]
Buttigieg PL, 2014, FEMS MICROBIOL ECOL, V90, P543, DOI 10.1111/1574-6941.12437
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02131
CACCAVO F, 1994, APPL ENVIRON MICROB, V60, P3752, DOI 10.1128/AEM.60.10.3752-3759.1994
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Canadas Oil Sands Innovation Alliance, 2021, PIT LAKES SURFACE MI
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Chen L.-X., 2021, BACTERIA MSYSTEMS, V4, DOI [10.1128/mSystems.00410-19, DOI 10.1128/MSYSTEMS.00410-19]
Clark MG, 2021, SCI TOTAL ENVIRON, V752, DOI 10.1016/j.scitotenv.2020.141966
Clearwater Environmental Consultants, 2013, END PIT LAKES TECHNI, V53
Diemert S, 2013, WATER SCI TECH-W SUP, V13, P1348, DOI 10.2166/ws.2013.145
Dompierre KA, 2017, CAN GEOTECH J, V54, P428, DOI 10.1139/cgj-2016-0235
Dompierre KA, 2016, SCI TOTAL ENVIRON, V556, P196, DOI 10.1016/j.scitotenv.2016.03.002
Dyksma S, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03124
Engel CEA, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0215341
Fisseha B., 2018, P PASTE 2018 21 INT, P291
Foght JM, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix034
Francis DJ, 2022, J CONTAM HYDROL, V245, DOI 10.1016/j.jconhyd.2021.103938
Galvez-Cloutier R, 2012, ENVIRON MANAGE, V49, P1037, DOI 10.1007/s00267-012-9840-7
Gelda RK, 2012, J ENVIRON ENG-ASCE, V138, P38, DOI 10.1061/(ASCE)EE.1943-7870.0000461
Huser BJ, 2016, WATER RES, V97, P122, DOI 10.1016/j.watres.2015.06.051
Huser BJ, 2016, WATER RES, V97, P142, DOI 10.1016/j.watres.2015.07.036
Kabwe LK, 2019, ENVIRON GEOTECH, V6, P67, DOI 10.1680/jenge.17.00110
Klann J, 2016, MICROBIOLOGYOPEN, V5, P479, DOI 10.1002/mbo3.344
Kong JD, 2019, SCI TOTAL ENVIRON, V694, DOI 10.1016/j.scitotenv.2019.133645
Lin QW, 2020, J HAZARD MATER, V400, DOI 10.1016/j.jhazmat.2020.123167
Martin M., 2011, EMBnet J, V17, P10
Mori JF, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02435
Nogaro G, 2013, ENVIRON POLLUT, V176, P267, DOI 10.1016/j.envpol.2013.01.048
Noguchi M, 2014, MICROBES ENVIRON, V29, P191, DOI 10.1264/jsme2.ME13104
Oksanen J., 2010, Vegan: Community ecology package
Özkundakci D, 2010, ECOL ENG, V36, P396, DOI 10.1016/j.ecoleng.2009.11.006
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ramette A, 2007, FEMS MICROBIOL ECOL, V62, P142, DOI 10.1111/j.1574-6941.2007.00375.x
Risacher FF, 2018, APPL GEOCHEM, V93, P49, DOI 10.1016/j.apgeochem.2018.03.013
Rönicke H, 2021, ECOL ENG, V162, DOI 10.1016/j.ecoleng.2021.106171
Rudderham S.B., 2019, GEOMICROBIOLOGY GEOC
Shade A, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00417
Siddique T, 2020, CAN J SOIL SCI, V100, P537, DOI 10.1139/cjss-2019-0125
Simieritsch T., 2010, TAILINGS PERFORMANCE
Slater GF, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9122509
Smith GJ, 2018, MBIO, V9, DOI [10.1128/mBio.00815-18, 10.1128/mbio.00815-18]
Steinman AD, 2012, J ENVIRON QUAL, V41, P1540, DOI 10.2134/jeq2011.0476
Syncrude, 2019, BASE MINE LAKE MONIT
Tamura T., 2014, The Prokaryotes, P883, DOI [10.1007/978-3-642-30138-4_182, DOI 10.1007/978-3-642-30138-4_182]
Tedford E, 2019, ENVIRON FLUID MECH, V19, P457, DOI 10.1007/s10652-018-9632-6
Wang XY, 2021, CATENA, V204, DOI 10.1016/j.catena.2021.105418
Whaley-Martin KJ, 2021, biorRxiv, DOI [10.1101/2021.09.16.460096, DOI 10.1101/2021.09.16.460096]
Yeboah D, 2016, ECOL EVOL, V6, P842, DOI 10.1002/ece3.1944
Zhang B, 2021, CATENA, V203, DOI 10.1016/j.catena.2021.105367
NR 55
TC 5
Z9 5
PD MAR
PY 2022
VL 10
IS 3
AR 510
DI 10.3390/microorganisms10030510
UT WOS:000774133700001
DA 2025-07-30
ER
PT J
AU Mestre, M
Höfer, J
Sala, MM
Gasol, JM
AF Mestre, Mireia
Hoefer, Juan
Montserrat Sala, M.
Gasol, Josep M.
TI Seasonal Variation of Bacterial Diversity Along the Marine Particulate
Matter Continuum
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Seasonal dynamics of ocean prokaryotic communities in the free-living fraction have been widely described, but less is known about the seasonality of prokaryotes inhabiting marine particles. We describe the seasonality of bacterial communities in the particulate matter continuum by sampling monthly over two years in a temperate oligotrophic coastal ecosystem and using a serial filtration (including six size-fractions spanning from 0.2 to 200 mu m). We observed that bacterial communities in the particulate matter continuum had annual changes following harmonic seasonal oscillations, where alpha, beta, and gamma diversity increased during the warm period and decreased during the cold period. Communities in each size-fraction changed gradually over time, being the communities in larger size-fractions the ones with stronger annual changes. Annual community changes were driven mainly by day length and sea surface temperature, and each size-fraction was additionally affected by other variables (e.g., smaller size-fractions by dissolved PO(4)and larger size-fractions by turbidity). While some taxonomic groups mantained their preference for a given size fraction during most of the year, others varied their distribution into different size fractions over time, as e.g., SAR11, which increased its presence in particles during the cold period. Our results indicate that the size-fractionation scheme provides novel seasonal patterns that are not possible to unveil by analyzing only free-living bacteria, and that help to better understand the temporal dynamics of prokaryotes.
C1 [Mestre, Mireia; Montserrat Sala, M.; Gasol, Josep M.] Inst Ciencies Mar ICM CSIC, Dept Marine Biol & Oceanog, Barcelona, Spain.
[Mestre, Mireia] Univ Concepcion, Ctr Invest Oceanog COPAS Sur Austral, Dept Oceanog, Concepcion, Chile.
[Mestre, Mireia] Univ Austral Chile, Ctr FONDAP Invest Dinam Ecosistemas Marinos Altas, Valdivia, Chile.
[Hoefer, Juan] Pontificia Univ Catolica Valparaiso, Escuela Ciencias Mar, Valparaiso, Chile.
[Gasol, Josep M.] Edith Cowan Univ, Ctr Marine Ecosyst Res, Sch Sci, Joondalup, WA, Australia.
RP Mestre, M; Gasol, JM (corresponding author), Inst Ciencies Mar ICM CSIC, Dept Marine Biol & Oceanog, Barcelona, Spain.; Mestre, M (corresponding author), Univ Concepcion, Ctr Invest Oceanog COPAS Sur Austral, Dept Oceanog, Concepcion, Chile.; Mestre, M (corresponding author), Univ Austral Chile, Ctr FONDAP Invest Dinam Ecosistemas Marinos Altas, Valdivia, Chile.; Gasol, JM (corresponding author), Edith Cowan Univ, Ctr Marine Ecosyst Res, Sch Sci, Joondalup, WA, Australia.
EM mireia@icm.csic.es; pepgasol@icm.csic.es
CR ALLDREDGE AL, 1986, LIMNOL OCEANOGR, V31, P68, DOI 10.4319/lo.1986.31.1.0068
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], 2016, R PACKAGE MINPACK LM
[Anonymous], 2017, R PACKAGE VEGAN COMM
AZAM F, 1994, MICROBIAL ECOL, V28, P167, DOI 10.1007/BF00166806
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Cabrini M, 2012, ESTUAR COAST SHELF S, V115, P113, DOI 10.1016/j.ecss.2012.07.007
Calbet A, 2001, J PLANKTON RES, V23, P319, DOI 10.1093/plankt/23.3.319
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
D'Alcalà MR, 2004, SCI MAR, V68, P65
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
De Corte D, 2014, AQUAT MICROB ECOL, V72, P215, DOI 10.3354/ame01696
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Duarte CM, 1999, PROG OCEANOGR, V44, P245, DOI 10.1016/S0079-6611(99)00028-2
Fenchel T, 2001, AQUAT MICROB ECOL, V24, P197, DOI 10.3354/ame024197
Ferré B, 2005, CONT SHELF RES, V25, P2410, DOI 10.1016/j.csr.2005.08.017
Ferrera I, 2014, ENVIRON MICROBIOL, V16, P2953, DOI 10.1111/1462-2920.12278
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
García FC, 2015, ENVIRON MICROBIOL, V17, P4133, DOI 10.1111/1462-2920.12984
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gasol J. M., 2012, ICES PHYTOPLANKTON M, P138
Gasol JM, 2016, SCI MAR, V80, P63, DOI 10.3989/scimar.04480.06E
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giner CR, 2019, MOL ECOL, V28, P923, DOI 10.1111/mec.14929
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grossart HP, 2007, FEMS MICROBIOL LETT, V266, P194, DOI 10.1111/j.1574-6968.2006.00520.x
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Grossart HP, 1998, AQUAT MICROB ECOL, V15, P115, DOI 10.3354/ame015115
Grossart HP, 2001, AQUAT MICROB ECOL, V25, P247, DOI 10.3354/ame025247
Guadayol O, 2009, MAR ECOL PROG SER, V381, P139, DOI 10.3354/meps07939
Guerzoni S, 1999, PROG OCEANOGR, V44, P147, DOI 10.1016/S0079-6611(99)00024-5
Haas BJ, 2011, GENOME RES, V21, P494, DOI 10.1101/gr.112730.110
Hansen B, 1996, J PLANKTON RES, V18, P275, DOI 10.1093/plankt/18.2.275
Hatosy SM, 2013, ECOLOGY, V94, P1898, DOI 10.1890/12-2125.1
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Jones SE, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00318
Jurasinski G, 2015, R PACKAGE SIMBA COLL
Kara E, 2009, APPL ENVIRON MICROB, V75, P1058, DOI 10.1128/AEM.01725-08
KARNER M, 1992, MAR BIOL, V113, P341
Kiorboe T, 2002, APPL ENVIRON MICROB, V68, P3996, DOI 10.1128/AEM.68.8.3996-4006.2002
Kiorboe T, 2001, LIMNOL OCEANOGR, V46, P1309, DOI 10.4319/lo.2001.46.6.1309
KIRCHMAN D, 1982, APPL ENVIRON MICROB, V43, P200, DOI 10.1128/AEM.43.1.200-209.1982
Laghdass M, 2011, AQUAT MICROB ECOL, V62, P201, DOI 10.3354/ame01466
Lekunberri I, 2010, J PLANKTON RES, V32, P381, DOI 10.1093/plankt/fbp137
Lindh MV, 2015, ENVIRON MICROBIOL, V17, P2459, DOI 10.1111/1462-2920.12720
Lucea A, 2005, BIOGEOCHEMISTRY, V73, P303, DOI 10.1007/s10533-004-0059-4
Magurran AE, 2010, TRENDS ECOL EVOL, V25, P574, DOI 10.1016/j.tree.2010.06.016
Marín-Beltrán I, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00858
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Mestre M., 2017, SPATIAL TEMPORAL PAT
Mestre M, 2018, P NATL ACAD SCI USA, V115, pE6799, DOI 10.1073/pnas.1802470115
Mestre M, 2017, MOL ECOL, V26, P6827, DOI 10.1111/mec.14421
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
MITCHELL JG, 1995, APPL ENVIRON MICROB, V61, P4436, DOI 10.1128/AEM.61.12.4436-4440.1995
Mohit V, 2014, APPL ENVIRON MICROB, V80, P2071, DOI 10.1128/AEM.02916-13
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nunes S, 2018, MAR ECOL PROG SER, V592, P57, DOI 10.3354/meps12493
Ortega-Retuerta E, 2013, BIOGEOSCIENCES, V10, P2747, DOI 10.5194/bg-10-2747-2013
Ortega-Retuerta E, 2018, SCI TOTAL ENVIRON, V631-632, P180, DOI 10.1016/j.scitotenv.2018.02.341
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Passow U, 2002, MAR ECOL PROG SER, V236, P1, DOI 10.3354/meps236001
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Pulido-Villena E, 2014, BIOGEOSCIENCES, V11, P5607, DOI 10.5194/bg-11-5607-2014
Querol X, 2009, ATMOS ENVIRON, V43, P4266, DOI 10.1016/j.atmosenv.2009.06.013
Romera-Castillo C, 2013, MAR CHEM, V148, P44, DOI 10.1016/j.marchem.2012.10.004
Sala MM, 2002, AQUAT MICROB ECOL, V27, P47, DOI 10.3354/ame027047
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
SiokouFrangou I, 1996, J PLANKTON RES, V18, P203, DOI 10.1093/plankt/18.2.203
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Smith MW, 2013, FRONT MICROBIOL, V4, DOI [10.3389/fmicb.2013.00120, 10.3389/fpls.2013.00486]
Tang KW, 2010, AQUAT MICROB ECOL, V61, P261, DOI 10.3354/ame01424
Taylor JD, 2014, ISME J, V8, P245, DOI 10.1038/ismej.2013.178
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tuomisto H, 2010, ECOGRAPHY, V33, P2, DOI 10.1111/j.1600-0587.2009.05880.x
Verdugo P, 2004, MAR CHEM, V92, P67, DOI 10.1016/j.marchem.2004.06.017
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Yung CM, 2016, APPL ENVIRON MICROB, V82, P3431, DOI 10.1128/AEM.00395-16
Zäncker B, 2019, J PLANKTON RES, V41, P561, DOI 10.1093/plankt/fbz022
NR 94
TC 48
Z9 50
PD JUL 21
PY 2020
VL 11
AR 1590
DI 10.3389/fmicb.2020.01590
UT WOS:000558900100001
DA 2025-07-30
ER
PT J
AU Suzuki, MT
Preston, CM
Chavez, FP
DeLong, EF
AF Suzuki, MT
Preston, CM
Chavez, FP
DeLong, EF
TI Quantitative mapping of bacterioplankton populations in seawater: field
tests across an upwelling plume in Monterey Bay
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Few methods are available for quantifying specific prokaryotic taxa in marine plankton samples. In this study, we report a novel sampling and analysis strategy that circumvents some of the difficulties associated with current methods. This new approach allows for increased spatial, temporal and phylogenetic resolution over what has been achievable in routine bacterioplankton surveys. Picoplankton from small volume samples (30 mi) were collected on polysulfone filters and DNA was extracted with a commercially available DNA purification kit. The contribution of different bacterioplankton members at the group and subgroup levels was quantified by 5' nuclease assays. Percentages of small subunit (SSU) rDNAs from SAR11, SAR86, Roseobacter, Cytophaga and Synechococcus clades in DNA extracted from small samples were compared with SSU rDNA in DNA samples extracted from 6 to 91 seawater. Only small differences were observed between the methods. The approach was also tested by estimating gene copy numbers in a seawater sample spiked with varying numbers of cells from a cultivated marine Roseobacter strain. Finally we measured SSU rDNAs from the same groups of marine bacterioplankton in samples from a rapid survey of an upwelling plume in Monterey Bay, California, USA. A strong negative correlation between the percentage of Cytophagales and recently upwelled water, and an overlap between higher SAR86 percentages and a chlorophyll a concentration peak was found. The results confirm that rapid mapping of specific bacterioplankton groups is achievable using small samples and 5' nuclease assays.
C1 Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
RP DeLong, EF (corresponding author), Monterey Bay Aquarium Res Inst, 7700 Sandholdt Rd,POB 628, Moss Landing, CA 95039 USA.
CR [Anonymous], 1988, CURRENT PROTOCOLS MO
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
Bernhard AE, 2000, APPL ENVIRON MICROB, V66, P1587, DOI 10.1128/AEM.66.4.1587-1594.2000
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Buck KR, 1996, AQUAT MICROB ECOL, V10, P283
DeLong EF, 1999, APPL ENVIRON MICROB, V65, P5554
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P720, DOI 10.1128/jb.170.2.720-726.1988
Glockner FO, 1996, SYST APPL MICROBIOL, V19, P403
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Livak K., 1995, Guidelines for designing TaqMan fluorogenic probes for 5' nuclease assaysPerkin Elmer
LIVAK KJ, 1995, PCR METH APPL, V4, P357
Maidak BL, 1999, NUCLEIC ACIDS RES, V27, P171, DOI 10.1093/nar/27.1.171
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Rappé MS, 1998, APPL ENVIRON MICROB, V64, P294
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Suzuki M, 1998, APPL ENVIRON MICROB, V64, P4522
Suzuki MT, 1999, AQUAT MICROB ECOL, V20, P261, DOI 10.3354/ame020261
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Turley C.M., 1993, Handbook of Methods in Aquatic Microbial Ecology, P143
NR 36
TC 101
Z9 111
PD MAY 30
PY 2001
VL 24
IS 2
BP 117
EP 127
DI 10.3354/ame024117
UT WOS:000169446700002
DA 2025-07-30
ER
PT J
AU Ottesen, EA
Young, CR
Eppley, JM
Ryan, JP
Chavez, FP
Scholin, CA
DeLong, EF
AF Ottesen, Elizabeth A.
Young, Curtis R.
Eppley, John M.
Ryan, John P.
Chavez, Francisco P.
Scholin, Christopher A.
DeLong, Edward F.
TI Pattern and synchrony of gene expression among sympatric marine
microbial populations
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Planktonic marine microbes live in dynamic habitats that demand rapid sensing and response to periodic as well as stochastic environmental change. The kinetics, regularity, and specificity of microbial responses in situ, however, are not well-described. We report here simultaneous multitaxon genome-wide transcriptome profiling in a naturally occurring picoplankton community. An in situ robotic sampler using a Lagrangian sampling strategy enabled continuous tracking and repeated sampling of coherent microbial populations over 2 d. Subsequent RNA sequencing analyses yielded genome-wide transcriptome profiles of eukaryotic (Ostreococcus) and bacterial (Synechococcus) photosynthetic picoplankton as well as proteorhodopsin-containing heterotrophs, including Pelagibacter, SAR86-cluster Gammaproteobacteria, and marine Euryarchaea. The photosynthetic picoplankton exhibited strong diel rhythms over thousands of gene transcripts that were remarkably consistent with diel cycling observed in laboratory pure cultures. In contrast, the heterotrophs did not cycle diurnally. Instead, heterotrophic picoplankton populations exhibited cross-species synchronous, tightly regulated, temporally variable patterns of gene expression for many genes, particularly those genes associated with growth and nutrient acquisition. This multitaxon, population-wide gene regulation seemed to reflect sporadic, short-term, reversible responses to high-frequency environmental variability. Although the timing of the environmental responses among different heterotrophic species seemed synchronous, the specific metabolic genes that were expressed varied from taxon to taxon. In aggregate, these results provide insights into the kinetics, diversity, and functional patterns of microbial community response to environmental change. Our results also suggest a means by which complex multispecies metabolic processes could be coordinated, facilitating the regulation of matter and energy processing in a dynamically changing environment.
C1 [Ottesen, Elizabeth A.; Young, Curtis R.; Eppley, John M.; DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[DeLong, Edward F.] MIT, Dept Biol Engn, Cambridge, MA 02139 USA.
[Ryan, John P.; Chavez, Francisco P.; Scholin, Christopher A.] Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
RP DeLong, EF (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM delong@mit.edu
CR BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Binder B, 2000, J PHYCOL, V36, P120, DOI 10.1046/j.1529-8817.2000.99107.x
BINDER BJ, 1995, APPL ENVIRON MICROB, V61, P708, DOI 10.1128/AEM.61.2.708-717.1995
Demir-Hilton E, 2011, ISME J, V5, P1095, DOI 10.1038/ismej.2010.209
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Fazio A, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-341
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Gilbert JA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003042
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hendrickson EL, 2008, J BACTERIOL, V190, P2198, DOI 10.1128/JB.01805-07
Hewson I, 2010, ENVIRON MICROBIOL, V12, P1940, DOI 10.1111/j.1462-2920.2010.02198.x
Ito H, 2009, P NATL ACAD SCI USA, V106, P14168, DOI 10.1073/pnas.0902587106
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Keener J., 1996, ESCHERICHIA COLI SAL, V2nd
Li N, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009894
Liu ZQ, 2011, BIOINFORMATICS, V27, P3242, DOI 10.1093/bioinformatics/btr547
Marchetti A, 2012, P NATL ACAD SCI USA, V109, pE317, DOI 10.1073/pnas.1118408109
Martin AP, 2005, BIOL LETT-UK, V1, P366, DOI 10.1098/rsbl.2005.0316
Monnier A, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-192
Moriya Y, 2007, NUCLEIC ACIDS RES, V35, pW182, DOI 10.1093/nar/gkm321
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Ng WL, 2009, ANNU REV GENET, V43, P197, DOI 10.1146/annurev-genet-102108-134304
Okansen J., 2011, Vegan: community ecology package
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Palenik B, 2007, P NATL ACAD SCI USA, V104, P7705, DOI 10.1073/pnas.0611046104
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Preston CM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022522
R Core Team, 2019, R Found Stat Comput
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
NR 35
TC 141
Z9 165
PD FEB 5
PY 2013
VL 110
IS 6
BP E488
EP E497
DI 10.1073/pnas.1222099110
UT WOS:000315209800007
DA 2025-07-30
ER
PT J
AU Sjöstedt, J
Martiny, JBH
Munk, P
Riemann, L
AF Sjostedt, Johanna
Martiny, Jennifer B. H.
Munk, Peter
Riemann, Lasse
TI Abundance of Broad Bacterial Taxa in the Sargasso Sea Explained by
Environmental Conditions but Not Water Mass
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB To explore the potential linkage between distribution of marine bacterioplankton groups, environmental conditions, and water mass, we investigated the factors determining the abundance of bacterial taxa across the hydrographically complex Subtropical Convergence Zone in the Sargasso Sea. Based on information from 16S rRNA gene clone libraries from various locations and two depths, abundances of the predominant taxa (eubacteria, Archaea, Alphaproteobacteria, Gammaproteobacteria, Bacteroidetes, and the Roseobacter, SAR11, and SAR86 clades) were quantified by real-time PCR. In addition, the abundances of Synechococcus, Prochlorococcus, and picoalgae were determined by flow cytometry. Linear multiple-regression models determining the relative effects of eight environmental variables and of water mass explained 35 to 86% of the variation in abundance of the quantified taxa, even though only one to three variables were significantly related to any particular taxon's abundance. Most of the variation in abundance was explained by depth and chlorophyll a. The predominant phototrophs, Prochlorococcus and picoalgae, were negatively correlated with phosphate, whereas eubacteria, heterotrophic bacteria, and SAR86 were negatively correlated with nitrite. Water mass showed limited importance for explaining the abundance of the taxonomical groups (significant only for Roseobacter, explaining 14% of the variation). The results suggest the potential for predicting the abundance of broad bacterioplankton groups throughout the Sargasso Sea using only a few environmental parameters.
C1 [Sjostedt, Johanna] Linnaeus Univ, Dept Nat Sci, Kalmar, Sweden.
[Martiny, Jennifer B. H.] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92717 USA.
[Munk, Peter] Tech Univ Denmark, Natl Inst Aquat Resources, Charlottenlund, Denmark.
[Riemann, Lasse] Univ Copenhagen, Marine Biol Sect, Helsingor, Denmark.
RP Riemann, L (corresponding author), Univ Copenhagen, Marine Biol Sect, Helsingor, Denmark.
EM LRiemann@bio.ku.dk
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Amend AS, 2010, MOL ECOL, V19, P5555, DOI 10.1111/j.1365-294X.2010.04898.x
[Anonymous], 2016, Applied Regression Analysis and Generalized Linear Models
Barberán A, 2010, AQUAT MICROB ECOL, V59, P1, DOI 10.3354/ame01389
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Benner R, 1998, LIMNOL OCEANOGR, V43, P1373, DOI 10.4319/lo.1998.43.6.1373
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buitenhuis ET, 2012, EARTH SYST SCI DATA, V4, P37, DOI 10.5194/essd-4-37-2012
Buitenhuis ET, 2012, EARTH SYST SCI DATA, V4, P101, DOI 10.5194/essd-4-101-2012
Calvo-Díaz A, 2004, J PLANKTON RES, V26, P1069, DOI 10.1093/plankt/fbh098
Campbell BJ, 2009, AQUAT MICROB ECOL, V57, P123, DOI 10.3354/ame01335
Campbell L, 1997, DEEP-SEA RES PT I, V44, P167, DOI 10.1016/S0967-0637(96)00102-1
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Clarke KR., 2006, PRIMER VERSION 7 USE
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
Development Core Team R, 2008, R LANG ENV STAT COMP
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni S., 1991, NUCL ACID TECHNIQUES, P177
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Goebel NL, 2010, ENVIRON MICROBIOL, V12, P3272, DOI 10.1111/j.1462-2920.2010.02303.x
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Grömping U, 2006, J STAT SOFTW, V17, DOI 10.18637/jss.v017.i01
Haas BJ, 2011, GENOME RES, V21, P494, DOI 10.1101/gr.112730.110
Hahnke RL, 2013, AQUAT MICROB ECOL, V71, P131, DOI 10.3354/ame01668
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Hood RR, 2007, OCEANOGRAPHY, V20, P155, DOI 10.5670/oceanog.2007.61
Jiao NZ, 2005, CONT SHELF RES, V25, P1265, DOI 10.1016/j.csr.2005.01.002
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Larsen PE, 2012, NAT METHODS, V9, P621, DOI [10.1038/NMETH.1975, 10.1038/nmeth.1975]
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Martiny AC, 2013, ISME J, V7, P830, DOI 10.1038/ismej.2012.160
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McCarthy M, 1996, MAR CHEM, V55, P281, DOI 10.1016/S0304-4203(96)00041-2
Morales SE, 2009, APPL ENVIRON MICROB, V75, P2677, DOI 10.1128/AEM.02166-08
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moran MA, 1997, LIMNOL OCEANOGR, V42, P1307, DOI 10.4319/lo.1997.42.6.1307
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Mühling M, 2008, ISME J, V2, P379, DOI 10.1038/ismej.2007.97
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nagata T., 2008, MICROBIAL ECOLOGY OC, DOI [10.1002/9780470281840.ch7, DOI 10.1002/9780470281840.CH7]
PAKULSKI JD, 1994, LIMNOL OCEANOGR, V39, P930, DOI 10.4319/lo.1994.39.4.0930
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
Philippot L, 2009, ENVIRON MICROBIOL, V11, P3096, DOI 10.1111/j.1462-2920.2009.02014.x
Pinto AJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043093
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pommier T, 2012, BIOL LETTERS, V8, P562, DOI 10.1098/rsbl.2011.0990
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Riemann L, 2011, MAR ECOL PROG SER, V426, P57, DOI 10.3354/meps09001
Salihoglu B, 2007, J MAR RES, V65, P275
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Sperling M, 2012, AQUAT MICROB ECOL, V67, P25, DOI 10.3354/ame01580
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Tai V, 2009, ISME J, V3, P903, DOI 10.1038/ismej.2009.35
Takai K, 2000, APPL ENVIRON MICROB, V66, P5066, DOI 10.1128/AEM.66.11.5066-5072.2000
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
VOORHIS AD, 1964, J GEOPHYS RES, V69, P3809, DOI 10.1029/JZ069i018p03809
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Yokokawa T, 2010, AQUAT MICROB ECOL, V59, P185, DOI 10.3354/ame01393
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zhang T, 2006, APPL MICROBIOL BIOT, V70, P281, DOI 10.1007/s00253-006-0333-6
Zhu F, 2005, FEMS MICROBIOL ECOL, V52, P79, DOI 10.1016/j.femsec.2004.10.006
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
Zinser ER, 2007, LIMNOL OCEANOGR, V52, P2205, DOI 10.4319/lo.2007.52.5.2205
NR 85
TC 18
Z9 22
PD MAY
PY 2014
VL 80
IS 9
BP 2786
EP 2795
DI 10.1128/AEM.00099-14
UT WOS:000334583300017
DA 2025-07-30
ER
PT J
AU Nelson, CE
Carlson, CA
AF Nelson, Craig E.
Carlson, Craig A.
TI Tracking differential incorporation of dissolved organic carbon types
among diverse lineages of Sargasso Sea bacterioplankton
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Bacterioplankton are the primary trophic conduit for dissolved organic carbon (DOC) and linking community structure with DOC utilization is central to understanding global carbon cycling. We coupled stable isotope probing (SIP) with 16S rRNA pyrosequencing in dark seawater culture experiments on euphotic and mesopelagic communities from the Sargasso Sea. Parallel cultures were amended with equimolar quantities of four DO13C substrates to simultaneously evaluate community utilization and population-specific incorporation. Of the substrates tested two cyanobacterial products (exudates or lysates from a culture of Synechococcus) and two defined monosaccharides (glucose or gluconic acid) the cyanobacterial exudates were incorporated by the greatest diversity of oligotrophic bacterioplankton populations in surface waters, including taxa from > 10 major subclades within the Flavobacteria, Actinobacteria, Verrucomicrobia and Proteobacteria (including SAR11). In contrast, the monosaccharide glucose was not incorporated by any taxa belonging to extant oligotrophic oceanic clades. Conversely, proteobacterial copiotrophs, which were rare in the ambient water (< 0.1% of sequences), grew rapidly on all DOC amendments at both depths, but with different substrate preferences among lineages. We present a new analytical framework for using SIP to detect DOC incorporation across diverse oligotrophic bacterioplankton and discuss implications for the ecology of bacterialDOC interactions among populations of diverging trophic strategies.
C1 [Nelson, Craig E.] Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
RP Nelson, CE (corresponding author), Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
EM craig.nelson@lifesci.ucsb.edu
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
AMMERMAN JW, 1984, MAR ECOL PROG SER, V18, P31, DOI 10.3354/meps018031
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
BAUER JE, 1992, NATURE, V357, P667, DOI 10.1038/357667a0
Bell TH, 2011, APPL ENVIRON MICROB, V77, P4163, DOI 10.1128/AEM.00172-11
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Bertilsson S, 2005, VIE MILIEU, V55, P225
BIDDANDA B, 1994, LIMNOL OCEANOGR, V39, P1259, DOI 10.4319/lo.1994.39.6.1259
Boschker HTS, 1998, NATURE, V392, P801, DOI 10.1038/33900
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
CARLSON CA, 1994, NATURE, V371, P405, DOI 10.1038/371405a0
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cherrier J, 2004, AQUAT MICROB ECOL, V35, P229, DOI 10.3354/ame035229
Cherrier J, 1996, MAR ECOL PROG SER, V139, P267, DOI 10.3354/meps139267
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
COPINMONTEGUT G, 1993, DEEP-SEA RES PT I, V40, P1963, DOI 10.1016/0967-0637(93)90041-Z
Cottrell MT, 2006, DEEP-SEA RES PT I, V53, P1831, DOI 10.1016/j.dsr.2006.08.010
DeLong EE, 2005, NAT REV MICROBIOL, V3, P459, DOI 10.1038/nrmicro1158
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1986, MAR ECOL PROG SER, V33, P237, DOI 10.3354/meps033237
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Baena G, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003416
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
HAGSTROM A, 1984, MAR ECOL PROG SER, V18, P41, DOI 10.3354/meps018041
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Heidelberg JF, 2002, APPL ENVIRON MICROB, V68, P5498, DOI 10.1128/AEM.68.11.5498-5507.2002
Hunt D.E., 2010, Eco-DAS VIII Symposium Proceedings, P110, DOI DOI 10.4319/ECODAS.2010.978-0-9845591-1-4.110
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Keil RG, 1999, AQUAT MICROB ECOL, V18, P293, DOI 10.3354/ame018293
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Mills MM, 2008, LIMNOL OCEANOGR, V53, P824, DOI 10.4319/lo.2008.53.2.0824
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Neufeld JD, 2007, MICROB ECOL, V53, P435, DOI 10.1007/s00248-006-9125-x
Neufeld JD, 2007, NAT PROTOC, V2, P860, DOI 10.1038/nprot.2007.109
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Pomeroy LR, 2007, OCEANOGRAPHY, V20, P28, DOI 10.5670/oceanog.2007.45
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Radajewski S, 2000, NATURE, V403, P646, DOI 10.1038/35001054
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Seymour JR, 2010, AQUAT MICROB ECOL, V59, P161, DOI 10.3354/ame01400
Simek K, 2003, AQUAT MICROB ECOL, V31, P123, DOI 10.3354/ame031123
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Wagner M, 2006, CURR OPIN BIOTECH, V17, P83, DOI 10.1016/j.copbio.2005.12.006
Weinbauer MG, 2006, MICROB ECOL, V51, P336, DOI 10.1007/s00248-006-9028-x
WILLIAMS PM, 1987, NATURE, V330, P246, DOI 10.1038/330246a0
Yokokawa T, 2010, J OCEANOGR, V66, P1, DOI 10.1007/s10872-010-0001-4
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2005, AQUAT MICROB ECOL, V40, P241, DOI 10.3354/ame040241
NR 72
TC 132
Z9 147
PD JUN
PY 2012
VL 14
IS 6
BP 1500
EP 1516
DI 10.1111/j.1462-2920.2012.02738.x
UT WOS:000304866600013
DA 2025-07-30
ER
PT J
AU Quaiser, A
Zivanovic, Y
Moreira, D
López-García, P
AF Quaiser, Achim
Zivanovic, Yvan
Moreira, David
Lopez-Garcia, Purificacion
TI Comparative metagenomics of bathypelagic plankton and bottom sediment
from the Sea of Marmara
SO ISME JOURNAL
DT Article
AB To extend comparative metagenomic analyses of the deep-sea, we produced metagenomic data by direct 454 pyrosequencing from bathypelagic plankton (1000m depth) and bottom sediment of the Sea of Marmara, the gateway between the Eastern Mediterranean and the Black Seas. Data from small subunit ribosomal RNA (SSU rRNA) gene libraries and direct pyrosequencing of the same samples indicated that Gamma-and Alpha-proteobacteria, followed by Bacteroidetes, dominated the bacterial fraction in Marmara deep-sea plankton, whereas Planctomycetes, Delta- and Gamma-proteobacteria were the most abundant groups in high bacterial-diversity sediment. Group I Crenarchaeota/Thaumarchaeota dominated the archaeal plankton fraction, although group II and III Euryarchaeota were also present. Eukaryotes were highly diverse in SSU rRNA gene libraries, with group I (Duboscquellida) and II (Syndiniales) alveolates and Radiozoa dominating plankton, and Opisthokonta and Alveolates, sediment. However, eukaryotic sequences were scarce in pyrosequence data. Archaeal amo genes were abundant in plankton, suggesting that Marmara planktonic Thaumarchaeota are ammonia oxidizers. Genes involved in sulfate reduction, carbon monoxide oxidation, anammox and sulfatases were over-represented in sediment. Genome recruitment analyses showed that Alteromonas macleodii 'surface ecotype', Pelagibacter ubique and Nitrosopumilus maritimus were highly represented in 1000 m-deep plankton. A comparative analysis of Marmara metagenomes with ALOHA deep-sea and surface plankton, whale carcasses, Peru subsurface sediment and soil metagenomes clustered deep-sea Marmara plankton with deep-ALOHA plankton and whale carcasses, likely because of the suboxic conditions in the deep Marmara water column. The Marmara sediment clustered with the soil metagenome, highlighting the common ecological role of both types of microbial communities in the degradation of organic matter and the completion of biogeochemical cycles. The ISME Journal (2011) 5, 285-304; doi:10.1038/ismej.2010.113; published online 29 July 2010
C1 [Quaiser, Achim; Moreira, David; Lopez-Garcia, Purificacion] Univ Paris 11, CNRS, UMR8079, Unite Ecol Systemat & Evolut, F-91405 Orsay, France.
[Quaiser, Achim] Univ Rennes 1, CNRS, UMR 6553, Rennes, France.
[Zivanovic, Yvan] Univ Paris 11, UMR C8621, Inst Genet & Microbiol, F-91405 Orsay, France.
RP López-García, P (corresponding author), Univ Paris 11, CNRS, UMR8079, Unite Ecol Systemat & Evolut, Batiment 360, F-91405 Orsay, France.
EM puri.lopez@u-psud.fr
CR Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Berg IA, 2007, SCIENCE, V318, P1782, DOI 10.1126/science.1149976
BESIKTEPE ST, 1994, PROG OCEANOGR, V34, P285, DOI 10.1016/0079-6611(94)90018-3
Biddle JF, 2008, P NATL ACAD SCI USA, V105, P10583, DOI 10.1073/pnas.0709942105
Blackburn MV, 2009, ESTUAR COAST SHELF S, V84, P519, DOI 10.1016/j.ecss.2009.07.012
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brochier-Armanet C, 2008, NAT REV MICROBIOL, V6, P245, DOI 10.1038/nrmicro1852
Çagatay MN, 2009, MAR GEOL, V265, P87, DOI 10.1016/j.margeo.2009.06.011
Cetecioglu Z, 2009, MAR POLLUT BULL, V58, P384, DOI 10.1016/j.marpolbul.2008.10.009
Ciccarelli FD, 2006, SCIENCE, V311, P1283, DOI 10.1126/science.1123061
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Géli L, 2008, EARTH PLANET SC LETT, V274, P34, DOI 10.1016/j.epsl.2008.06.047
GLOCKNER FO, 2003, P NATL ACAD SCI USA, V30, P30
Gomez-Alvarez V, 2009, ISME J, V3, P1314, DOI 10.1038/ismej.2009.72
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Ivars-Martinez E, 2008, ISME J, V2, P1194, DOI 10.1038/ismej.2008.74
Jobb G, 2004, BMC EVOL BIOL, V4, DOI 10.1186/1471-2148-4-18
Johnston AWB, 2005, TRENDS MICROBIOL, V13, P416, DOI 10.1016/j.tim.2005.07.002
Jorgensen BB, 2007, NAT REV MICROBIOL, V5, P770, DOI 10.1038/nrmicro1745
Kanehisa M, 2004, NUCLEIC ACIDS RES, V32, pD277, DOI 10.1093/nar/gkh063
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
King GM, 2007, NAT REV MICROBIOL, V5, P107, DOI 10.1038/nrmicro1595
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Krüger M, 2003, NATURE, V426, P878, DOI 10.1038/nature02207
Kurtz S, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-2-r12
Leininger S, 2006, NATURE, V442, P806, DOI 10.1038/nature04983
López-García P, 2001, FEMS MICROBIOL ECOL, V36, P193, DOI 10.1016/S0168-6496(01)00133-7
Lovejoy C, 2006, APPL ENVIRON MICROB, V72, P3085, DOI 10.1128/AEM.72.5.3085-3095.2006
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Martin-Cuadrado AB, 2008, ISME J, V2, P865, DOI 10.1038/ismej.2008.40
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martin-Cuadrado AB, 2009, APPL ENVIRON MICROB, V75, P7436, DOI 10.1128/AEM.01283-09
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Moreira D, 2006, MICROBIOL-SGM, V152, P505, DOI 10.1099/mic.0.28254-0
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Page RDM, 1996, COMPUT APPL BIOSCI, V12, P357
PEZACKA E, 1984, P NATL ACAD SCI-BIOL, V81, P6261, DOI 10.1073/pnas.81.20.6261
Polymenakou PN, 2005, MICROB ECOL, V50, P447, DOI 10.1007/s00248-005-0005-6
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Quaiser A, 2008, ENVIRON MICROBIOL, V10, P2704, DOI 10.1111/j.1462-2920.2008.01691.x
Raes J, 2007, CURR OPIN MICROBIOL, V10, P490, DOI 10.1016/j.mib.2007.09.001
Ruehland C, 2008, ENVIRON MICROBIOL, V10, P3404, DOI 10.1111/j.1462-2920.2008.01728.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Saeed AI, 2003, BIOTECHNIQUES, V34, P374, DOI 10.2144/03342mt01
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Strous M, 2006, NATURE, V440, P790, DOI 10.1038/nature04647
Tatusov RL, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-41
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
UNLUATA U, 1990, NATO ADV SCI I C-MAT, V318, P25
Urich T, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002527
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
Vetriani C, 1999, APPL ENVIRON MICROB, V65, P4375
von Mering C, 2007, SCIENCE, V315, P1126, DOI 10.1126/science.1133420
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Woebken D, 2007, ISME J, V1, P419, DOI 10.1038/ismej.2007.63
Woyke T, 2006, NATURE, V443, P950, DOI 10.1038/nature05192
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Yakimov MM, 2007, ISME J, V1, P743, DOI 10.1038/ismej.2007.83
Zaikova E, 2010, ENVIRON MICROBIOL, V12, P172, DOI 10.1111/j.1462-2920.2009.02058.x
Zitter TAC, 2008, DEEP-SEA RES PT I, V55, P552, DOI 10.1016/j.dsr.2008.01.002
NR 72
TC 115
Z9 131
PD FEB
PY 2011
VL 5
IS 2
BP 285
EP 304
DI 10.1038/ismej.2010.113
UT WOS:000290020000013
DA 2025-07-30
ER
PT J
AU Wolf, S
Jayawickrama, C
Carlson, CA
Deutsch, C
Davis, EW II
Daniels, BN
Chan, FC
Giovannoni, SJ
AF Wolf, Sarah
Jayawickrama, Clare
Carlson, Craig A.
Deutsch, Curtis
Davis II, Edward W.
Daniels, Benjamin N.
Chan, Francis
Giovannoni, Stephen J.
TI Microbial carbon oxidation in seawater below the hypoxic threshold
SO SCIENTIFIC REPORTS
DT Article
AB Global oxygen minimum zones (OMZs) often reach hypoxia but seldom reach anoxia. Recently it was reported that Michaelis Menten constants (Km) of oxidative enzymes are orders of magnitude higher than respiratory Km values, and in the Hypoxic Barrier Hypothesis it was proposed that, in ecosystems experiencing falling oxygen, oxygenase enzyme activities become oxygen-limited long before respiration. We conducted a mesocosm experiment with a phytoplankton bloom as an organic carbon source and controlled dissolved oxygen (DO) concentrations in the dark to determine whether hypoxia slows carbon oxidation and oxygen decline. Total oxygen utilization (TOU) in hypoxic treatment (ca. 7.1 mu M O2) was 21.7% lower than the oxic treatment (ca. 245.1 mu M O2) over the first 43 days of the experiment. In addition, following the restoration of fully oxic conditions to the hypoxic treatment, TOU accelerated, demonstrating that oxidative processes are sensitive to DO concentrations found in large volumes of the ocean. Microbial amplicon-based community composition diverged between oxic treatments, indicating a specialized microbiome that included Thioglobaceae (SUP05 Gammaproteobacteria), OM190 (Planctomycetota), ABY1 (Patescibacteria), and SAR86 subclade D2472, thrived in the hypoxic treatment, while the genus Candidatus Actinomarina and SAR11 alphaproteobacteria were sharply inhibited. Our findings support the hypothesis that oxygenase kinetics might slow the progression of ocean deoxygenation in oxygen-poor regions and be a factor in the evolution of microbial taxa adapted to hypoxic environments.
C1 [Wolf, Sarah; Jayawickrama, Clare; Daniels, Benjamin N.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97330 USA.
[Carlson, Craig A.] UC Santa Barbara, Inst Marine Sci, Santa Barbara, CA USA.
[Carlson, Craig A.] Dept Ecol Evolut & Marine Biol, Santa Barbara, CA USA.
[Deutsch, Curtis] Princeton Univ, Dept Geosci, Princeton, NJ USA.
[Davis II, Edward W.] Oregon State Univ, Ctr Quantitat Life Sci, Corvallis, OR USA.
[Chan, Francis] Oregon State Univ, Dept Integrat Biol, Corvallis, OR 97330 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97330 USA.; Chan, FC (corresponding author), Oregon State Univ, Dept Integrat Biol, Corvallis, OR 97330 USA.
EM francis.chan@oregonstate.edu; steve.giovannoni@oregonstate.edu
CR Adams KA, 2013, J GEOPHYS RES-OCEANS, V118, P4839, DOI 10.1002/jgrc.20361
Alagappan G, 2004, CHEMOSPHERE, V54, P1255, DOI 10.1016/j.chemosphere.2003.09.013
Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Balcke GU, 2008, BIODEGRADATION, V19, P507, DOI 10.1007/s10532-007-9156-0
Barnett D.J., 2021, J OPEN SOURCE SOFTW, V6, P3201, DOI DOI 10.21105/JOSS.03201
Bittig HC, 2018, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00429
Callahan BJ, 2017, ISME J, V11, P2639, DOI 10.1038/ismej.2017.119
Canfield D. E., 2019, The regulation of oxygen to low concentrations in marine oxygen-minimum zones
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Cavan EL, 2019, FRONT ECOL EVOL, V6, DOI 10.3389/fevo.2018.00230
CERDAN P, 1994, J BACTERIOL, V176, P6074, DOI 10.1128/jb.176.19.6074-6081.1994
Chan F, 2008, SCIENCE, V319, P920, DOI 10.1126/science.1149016
Chen X, 2022, WATER RES, V220, DOI 10.1016/j.watres.2022.118690
Colatriano D, 2018, COMMUN BIOL, V1, DOI 10.1038/s42003-018-0086-7
Coskun ÖK, 2019, ISME J, V13, P1546, DOI 10.1038/s41396-019-0373-4
Crump BC, 2007, APPL ENVIRON MICROB, V73, P6802, DOI 10.1128/AEM.00648-07
Deutsch C, 2024, ANNU REV MAR SCI, V16, P217, DOI 10.1146/annurev-marine-040323-095231
Devol AH, 2001, LIMNOL OCEANOGR, V46, P1684, DOI 10.4319/lo.2001.46.7.1684
Dmello R, 1996, MICROBIOL-UK, V142, P755, DOI 10.1099/00221287-142-4-755
Duce RA, 2008, SCIENCE, V320, P893, DOI 10.1126/science.1150369
Ducklow HW, 2007, MAR CHEM, V105, P140, DOI 10.1016/j.marchem.2007.01.015
GARCIA HE, 1992, LIMNOL OCEANOGR, V37, P1307, DOI 10.4319/lo.1992.37.6.1307
Garcia-Robledo E, 2017, P NATL ACAD SCI USA, V114, P8319, DOI 10.1073/pnas.1619844114
Gardner PR, 2000, J BIOL CHEM, V275, P31581, DOI 10.1074/jbc.M004141200
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni S, 2021, MBIO, V12, DOI 10.1128/mBio.01332-21
Gong XZ, 2016, APPL ENVIRON MICROB, V82, P1412, DOI 10.1128/AEM.03669-15
Grantham BA, 2004, NATURE, V429, P749, DOI 10.1038/nature02605
Halewood E, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.1061646
Hayaishi O., 2013, Encyclopedia of Biological Chemistry, VSecond, P371
Hertkorn N, 2006, GEOCHIM COSMOCHIM AC, V70, P2990, DOI 10.1016/j.gca.2006.03.021
HOWARTH RW, 1988, ANNU REV ECOL SYST, V19, P89, DOI 10.1146/annurev.es.19.110188.000513
Ishida T, 2004, J BIOCHEM, V135, P721, DOI 10.1093/jb/mvh089
Ito T, 2013, GLOBAL BIOGEOCHEM CY, V27, P1119, DOI 10.1002/2013GB004567
Kalvelage T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133526
Kalvelage T, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0029299
Keeling RF, 2010, ANNU REV MAR SCI, V2, P199, DOI 10.1146/annurev.marine.010908.163855
Keil RG, 2016, BIOGEOSCIENCES, V13, P2077, DOI 10.5194/bg-13-2077-2016
KOBAYASHI T, 1995, J BIOCHEM, V117, P614, DOI 10.1093/oxfordjournals.jbchem.a124753
KOJIMA Y, 1967, J BIOL CHEM, V242, P3270
Kukor JJ, 1996, APPL ENVIRON MICROB, V62, P1728, DOI 10.1128/AEM.62.5.1728-1740.1996
Kuroda K., bioRxiv, 2023.2008. 2025.554742, V2023
Kuroda K, 2022, MBIO, V13, DOI 10.1128/mbio.01711-22
Kwiatkowski L, 2020, BIOGEOSCIENCES, V17, P3439, DOI 10.5194/bg-17-3439-2020
Lam P, 2011, ANNU REV MAR SCI, V3, P317, DOI 10.1146/annurev-marine-120709-142814
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lau MP, 2020, BIOL LETTERS, V16, DOI 10.1098/rsbl.2019.0694
Leahy JG, 1997, APPL ENVIRON MICROB, V63, P3736, DOI 10.1128/AEM.63.9.3736-3739.1997
Li PH, 2024, SCI TOTAL ENVIRON, V906, DOI 10.1016/j.scitotenv.2023.167661
Li YH, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2001GB001828
Loginova AN, 2016, J GEOPHYS RES-OCEANS, V121, P7973, DOI 10.1002/2016JC011906
Lonborg C, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00466
Lorenzoni L, 2013, J GEOPHYS RES-BIOGEO, V118, P951, DOI 10.1002/jgrg.20075
LOVE MI, 2014, GENOME BIOL, V15
Margolin AR, 2016, MAR CHEM, V183, P13, DOI 10.1016/j.marchem.2016.05.003
MARTIN JH, 1987, DEEP-SEA RES, V34, P267, DOI 10.1016/0198-0149(87)90086-0
Massicotte P., 2023, rnaturalearth: World Map Data from Natural Earth
Massmig M, 2021, J GEOPHYS RES-BIOGEO, V126, DOI 10.1029/2020JG006048
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Mussmann M, 2017, ISME J, V11, P1276, DOI 10.1038/ismej.2016.185
NAKAI C, 1990, J BIOL CHEM, V265, P660
NAKAI C, 1988, ARCH BIOCHEM BIOPHYS, V267, P701, DOI 10.1016/0003-9861(88)90079-3
Nakajima H, 2002, J BIOCHEM, V131, P523, DOI 10.1093/oxfordjournals.jbchem.a003130
O'Leary NA, 2024, SCI DATA, V11, DOI 10.1038/s41597-024-03571-y
Oksanen J., 2022, PREPRINT
Oschlies A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22584-4
Oschlies A, 2018, NAT GEOSCI, V11, P467, DOI 10.1038/s41561-018-0152-2
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Paradis E, 2019, BIOINFORMATICS, V35, P526, DOI 10.1093/bioinformatics/bty633
Patel A, 2007, NAT PROTOC, V2, P269, DOI 10.1038/nprot.2007.6
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Pebesma E., 2023, Spatial data science with applications in R, DOI [DOI 10.1201/9780429459016, 10.1201/9780429459016]
Pebesma E. J., 2005, R NEWS, V5, P9
Pebesma E, 2018, R J, V10, P439
Pitcher GC, 2014, J GEOPHYS RES-OCEANS, V119, P2183, DOI 10.1002/2013JC009443
Ploug H, 2008, LIMNOL OCEANOGR, V53, P1878, DOI 10.4319/lo.2008.53.5.1878
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
REDFIELD AC, 1958, AM SCI, V46, P205
Ridder L, 1998, EUR J BIOCHEM, V257, P92, DOI 10.1046/j.1432-1327.1998.2570092.x
Ritchie RJ, 2006, PHOTOSYNTH RES, V89, P27, DOI 10.1007/s11120-006-9065-9
Robinson C, 2019, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00533
SAMPOU P, 1994, MAR ECOL PROG SER, V110, P249, DOI 10.3354/meps110249
SauretIgnazi G, 1996, ARCH MICROBIOL, V166, P42, DOI 10.1007/s002030050353
Saw J. H., 2019, bioRxiv
Sayers EW, 2022, NUCLEIC ACIDS RES, V50, pD20, DOI 10.1093/nar/gkab1112
Schmidtko S, 2017, NATURE, V542, P335, DOI 10.1038/nature21399
Seemann T., 2018, Basic rapid ribosomal RNA predictor
Seidel M, 2017, FRONT EARTH SC-SWITZ, V5, DOI 10.3389/feart.2017.00031
Spietz RL, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0135731
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stolper DA, 2010, P NATL ACAD SCI USA, V107, P18755, DOI 10.1073/pnas.1013435107
Team R. C. R., 2013, A language and environment for statistical computing
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wang LG, 2020, MOL BIOL EVOL, V37, P599, DOI 10.1093/molbev/msz240
Wolf S., 2023, Microbial Life Below the Hypoxic Barrier
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Xiao XL, 2023, PROG OCEANOGR, V210, DOI 10.1016/j.pocean.2022.102929
Xu SB, 2022, IMETA, V1, DOI 10.1002/imt2.56
Ye Q, 2016, MICROBIOLOGYOPEN, V5, P323, DOI 10.1002/mbo3.330
Yu G., 2022, Data Integration, Manipulation and Visualization of Phylogenetic Trees, DOI DOI 10.1201/9781003279242
Zakem EJ, 2017, LIMNOL OCEANOGR, V62, P795, DOI 10.1002/lno.10461
Zhang CL, 2018, NATL SCI REV, V5, P481, DOI 10.1093/nsr/nwy074
NR 109
TC 1
Z9 1
PD JAN 22
PY 2025
VL 15
IS 1
AR 2838
DI 10.1038/s41598-024-82438-z
UT WOS:001404844700035
DA 2025-07-30
ER
PT J
AU Tada, Y
Taniguchi, A
Nagao, I
Miki, T
Uematsu, M
Tsuda, A
Hamasaki, K
AF Tada, Yuya
Taniguchi, Akito
Nagao, Ippei
Miki, Takeshi
Uematsu, Mitsuo
Tsuda, Atsushi
Hamasaki, Koji
TI Differing Growth Responses of Major Phylogenetic Groups of Marine
Bacteria to Natural Phytoplankton Blooms in the Western North Pacific
Ocean
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Growth and productivity of phytoplankton substantially change organic matter characteristics, which affect bacterial abundance, productivity, and community structure in aquatic ecosystems. We analyzed bacterial community structures and measured activities inside and outside phytoplankton blooms in the western North Pacific Ocean by using bromodeoxyuridine immunocytochemistry and fluorescence in situ hybridization (BIC-FISH). Roseobacter/Rhodobacter, SAR11, Betaproteobacteria, Alteromonas, SAR86, and Bacteroidetes responded differently to changes in organic matter supply. Roseobacter/Rhodobacter bacteria remained widespread, active, and proliferating despite large fluctuations in organic matter and chlorophyll a (Chl-a) concentrations. The relative contribution of Bacteroidetes to total bacterial production was consistently high. Furthermore, we documented the unexpectedly large contribution of Alteromonas to total bacterial production in the bloom. Bacterial abundance, productivity, and growth potential (the proportion of growing cells in a population) were significantly correlated with Chl-a and particulate organic carbon concentrations. Canonical correspondence analysis showed that organic matter supply was critical for determining bacterial community structures. The growth potential of each bacterial group as a function of Chl-a concentration showed a bell-shaped distribution, indicating an optimal organic matter concentration to promote growth. The growth of Alteromonas and Betaproteobacteria was especially strongly correlated with organic matter supply. These data elucidate the distinctive ecological role of major bacterial taxa in organic matter cycling during open ocean phytoplankton blooms.
C1 [Tada, Yuya] Univ Tokyo, Atmosphere & Ocean Res Inst, Dept Marine Ecosyst Dynam, Kashiwa, Chiba 2778564, Japan.
[Taniguchi, Akito] Kinki Univ, Grad Sch Agr, Lab Environm Sci Aquaculture, Nara 6318505, Japan.
[Nagao, Ippei] Nagoya Univ, Grad Sch Environm Studies, Dept Earth & Environm Sci, Chikusa Ku, Nagoya, Aichi 4648601, Japan.
[Miki, Takeshi] Natl Taiwan Univ, Inst Oceanog, Taipei 10617, Taiwan.
RP Tada, Y (corresponding author), Univ Tokyo, Atmosphere & Ocean Res Inst, Dept Marine Ecosyst Dynam, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778564, Japan.
EM yatada@aori.u-tokyo.ac.jp
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], BIOGEOCHEMICAL PROCE
[Anonymous], 2017, CLINIMMUNOL
[Anonymous], 1987, Journal of Oceanographical Society of Japan, DOI DOI 10.1007/BF02110194
[Anonymous], 1997, THESIS TU MUNCHEN MU
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Boenigk J, 2004, APPL ENVIRON MICROB, V70, P5787, DOI 10.1128/AEM.70.10.5787-5793.2004
BRATBAK G, 1985, MAR ECOL PROG SER, V25, P23, DOI 10.3354/meps025023
Brinkmeyer R, 2000, EUR J PHYCOL, V35, P315, DOI 10.1017/S096702620000295X
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
COLE JJ, 1982, ANNU REV ECOL SYST, V13, P291, DOI 10.1146/annurev.es.13.110182.001451
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Fistarol GO, 2003, MAR ECOL PROG SER, V255, P115, DOI 10.3354/meps255115
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
García-Martínez J, 2002, ENVIRON MICROBIOL, V4, P42, DOI 10.1046/j.1462-2920.2002.00255.x
Giuliano L, 1999, MICROBIAL ECOL, V37, P77
Gloeckner Frank Oliver, 1999, Applied and Environmental Microbiology, V65, P3721
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Grossart HP, 2007, AQUAT MICROB ECOL, V47, P163, DOI 10.3354/ame047163
Hamasaki K, 2004, AQUAT MICROB ECOL, V35, P217, DOI 10.3354/ame035217
Hamasaki K, 2007, APPL ENVIRON MICROB, V73, P2787, DOI 10.1128/AEM.02111-06
Hamasaki K, 2006, J OCEANOGR, V62, P793, DOI 10.1007/s10872-006-0098-7
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Kasai Hiromi, 1998, Journal of Oceanography, V54, P527, DOI 10.1007/BF02742454
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
MARR D, 1980, PROC R SOC SER B-BIO, V207, P187, DOI 10.1098/rspb.1980.0020
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
Mayali X, 2008, APPL ENVIRON MICROB, V74, P2595, DOI 10.1128/AEM.02191-07
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Nagao I, 2009, DEEP-SEA RES PT II, V56, P2899, DOI 10.1016/j.dsr2.2009.07.001
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
ODATE T, 1988, Biological Oceanography, V6, P65
Ogawa H, 1999, DEEP-SEA RES PT I, V46, P1809, DOI 10.1016/S0967-0637(99)00027-8
Oksanen J., 2010, Vegan: Community ecology package
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P5728, DOI 10.1128/AEM.68.11.5728-5736.2002
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Pukall R, 1999, FEMS MICROBIOL ECOL, V28, P335, DOI 10.1016/S0168-6496(98)00117-2
R Development Core Team, 2021, R: A Language and Environment for Statistical Computing
Ramette A, 2007, FEMS MICROBIOL ECOL, V62, P142, DOI 10.1111/j.1574-6941.2007.00375.x
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schäfer H, 2000, ARCH MICROBIOL, V173, P138, DOI 10.1007/s002039900121
Shiomoto A, 2000, J MAR BIOL ASSOC UK, V80, P343, DOI 10.1017/S0025315499001927
SIERACKI ME, 1989, APPL ENVIRON MICROB, V55, P2762, DOI 10.1128/AEM.55.11.2762-2772.1989
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
SMITH DC, 1995, DEEP-SEA RES PT II, V42, P75, DOI 10.1016/0967-0645(95)00005-B
Steward GF, 1999, AQUAT MICROB ECOL, V19, P57, DOI 10.3354/ame019057
Suikkanen S, 2005, MAR ECOL PROG SER, V287, P1, DOI 10.3354/meps287001
SUZUKI R, 1990, Journal of the Oceanographical Society of Japan, V46, P190, DOI 10.1007/BF02125580
Tada Y, 2010, AQUAT MICROB ECOL, V59, P229, DOI 10.3354/ame01412
Tada Y, 2009, MICROBES ENVIRON, V24, P315, DOI 10.1264/jsme2.ME09162
Taniguchi A, 2008, ENVIRON MICROBIOL, V10, P1007, DOI 10.1111/j.1462-2920.2007.01521.x
Urbach E, 1999, APPL ENVIRON MICROB, V65, P1207
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Weinbauer MG, 2004, ENVIRON MICROBIOL, V6, P1, DOI 10.1046/j.1462-2920.2003.00539.x
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 78
TC 103
Z9 110
PD JUN
PY 2011
VL 77
IS 12
BP 4055
EP 4065
DI 10.1128/AEM.02952-10
UT WOS:000291341800018
DA 2025-07-30
ER
PT J
AU Korlevic, M
Supraha, L
Ljubesic, Z
Henderiks, J
Ciglenecki, I
Dautovic, J
Orlic, S
AF Korlevic, M.
Supraha, L.
Ljubesic, Z.
Henderiks, J.
Ciglenecki, I.
Dautovic, J.
Orlic, S.
TI Bacterial diversity across a highly stratified ecosystem: A salt-wedge
Mediterranean estuary
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB Highly stratified Mediterranean estuaries are unique environments where the tidal range is low and the tidal currents are almost negligible. The main characteristics of these environments are strong salinity gradients and other environmental parameters. In this study, 454 pyrosequencing of the 16S rRNA gene in combination with catalyzed reporter deposition-fluorescence in situ hybridization (CARD-FISH) was used to estimate the bacterial diversity across the Krka estuary in February and July 2013. The comparison of the data derived from these two techniques resulted in a significant but weak positive correlation (R=0.28) indicating a substantial difference in the bacterial community structure, depending on the applied method. The phytoplankton bloom observed in February was identified as one of the main factors shaping the bacterial community structure between the two environmentally contrasting sampling months. Roseobacter, Bacteroidetes and Gammaproteobacteria differed substantially between February and July. Typical freshwater bacterial classes (Actinobacteria and Betaproteobacteria) showed strong vertical distribution patterns depending on the salinity gradient. Cyanobacteria decreased in abundance in February due to competition with phytoplankton, while the SAR11 Glade increased its abundance in July as a result of a better adaptation toward more oligotrophic conditions. The results provided the first detailed insight into the bacterial diversity in a highly stratified Mediterranean karstic estuary. (C) 2016 Elsevier GmbH. All rights reserved.
C1 [Korlevic, M.] Rudjer Boskovic Inst, Ctr Marine Res, Rovinj, Croatia.
[Supraha, L.; Henderiks, J.] Uppsala Univ, Dept Earth Sci, Paleobiol, Uppsala, Sweden.
[Ljubesic, Z.] Univ Zagreb, Fac Sci, Div Biol, Zagreb 41000, Croatia.
[Ciglenecki, I.; Dautovic, J.] Rudjer Boskovic Inst, Div Marine & Environm Res, Zagreb, Croatia.
[Orlic, S.] Rudjer Boskovic Inst, Div Mat Chem, Zagreb, Croatia.
[Orlic, S.] Ctr Excellence Sci & Technol Integrating Mediterr, Microbial Ecol, Zagreb, Croatia.
RP Orlic, S (corresponding author), Rudjer Boskovic Inst, Div Mat Chem, Zagreb, Croatia.
EM sandi.orlic@irb.hr
CR Alonso C, 2010, AQUAT MICROB ECOL, V61, P57, DOI 10.3354/ame01439
Amaral V, 2016, LIMNOL OCEANOGR, V61, P906, DOI 10.1002/lno.10258
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], 1958, Mitteilungen Internationale Vereiningung fur Theoretische und Angewandte Limnologie, DOI DOI 10.1080/05384680.1958.11904091
Barlow RG, 1997, MAR ECOL PROG SER, V161, P303, DOI 10.3354/meps161303
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
BRAY JR, 1957, ECOL MONOGR, V27, P326, DOI 10.2307/1942268
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buzancic M, 2012, ACTA ADRIAT, V53, P413
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CAUWET G, 1991, MAR CHEM, V32, P269, DOI 10.1016/0304-4203(91)90043-V
Cetinic I, 2006, HYDROBIOLOGIA, V555, P31, DOI 10.1007/s10750-005-1103-7
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Dafner EV, 2002, J ENVIRON MONITOR, V4, P48, DOI 10.1039/b107277n
Dautovic J, 2012, FRESEN ENVIRON BULL, V21, P995
DYER KR, 1991, MAR CHEM, V32, P111, DOI 10.1016/0304-4203(91)90031-Q
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
FUKS D, 1991, MAR CHEM, V32, P333, DOI 10.1016/0304-4203(91)90047-Z
Fuks D., 1994, ACTA ADRIAT, V34, P21
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
GRZETIC Z, 1991, MAR CHEM, V32, P313, DOI 10.1016/0304-4203(91)90046-Y
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Huggett MJ, 2012, J BACTERIOL, V194, P732, DOI 10.1128/JB.06506-11
Ionescu D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038319
IVANCIC I, 1984, WATER RES, V18, P1143, DOI 10.1016/0043-1354(84)90230-6
Kan J, 2007, APPL ENVIRON MICROB, V73, P6776, DOI 10.1128/AEM.00541-07
Kan JJ, 2006, LIMNOL OCEANOGR, V51, P2157, DOI 10.4319/lo.2006.51.5.2157
Kang I, 2012, J BACTERIOL, V194, P3550, DOI 10.1128/JB.00586-12
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
LEGOVIC T, 1991, MAR CHEM, V32, P153, DOI 10.1016/0304-4203(91)90034-T
LEGOVIC T, 1991, MAR CHEM, V32, P163, DOI 10.1016/0304-4203(91)90035-U
LEGOVIC T, 1991, MAR CHEM, V32, P121, DOI 10.1016/0304-4203(91)90032-R
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
MOREIRATURCQ P, 1993, MAR CHEM, V43, P115, DOI 10.1016/0304-4203(93)90219-E
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Penezic A, 2010, ESTUAR COAST SHELF S, V86, P625, DOI 10.1016/j.ecss.2009.11.030
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Preen K, 2004, AQUAT MICROB ECOL, V37, P109, DOI 10.3354/ame037109
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Puddu A, 1997, HYDROBIOLOGIA, V363, P271
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Santic D, 2011, ACTA ADRIAT, V52, P101
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SEMPERE R, 1995, ESTUAR COAST SHELF S, V40, P105, DOI 10.1016/0272-7714(95)90016-0
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
Sintes E, 2013, FEMS MICROBIOL ECOL, V83, P413, DOI 10.1111/1574-6941.12003
Solis M., 2015, J MAR BIOL ASSOC UK, P1
Strickland J.D.H., 1972, BULLETIN, V167, DOI DOI 10.25607/OBP-1791
Supraha L, 2014, SCI MAR, V78, P329, DOI 10.3989/scimar.03998.28C
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thiele S, 2012, APPL ENVIRON MICROB, V78, P8803, DOI 10.1128/AEM.01814-12
Tinta T, 2015, ENVIRON MICROBIOL, V17, P3581, DOI 10.1111/1462-2920.12519
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
VILICIC D, 1989, AQUAT SCI, V51, P31, DOI 10.1007/BF00877779
Vukojevic N, 1983, EFFECT THERMOCLINE S, P1983
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
Zhang Y, 2006, AQUAT MICROB ECOL, V43, P233, DOI 10.3354/ame043233
ZUTIC V, 1987, NATURE, V328, P612, DOI 10.1038/328612a0
NR 71
TC 20
Z9 21
PD SEP
PY 2016
VL 39
IS 6
BP 398
EP 408
DI 10.1016/j.syapm.2016.06.006
UT WOS:000383305000006
DA 2025-07-30
ER
PT J
AU Cai, LL
Zhang, R
He, Y
Feng, XY
Jiao, NZ
AF Cai, Lanlan
Zhang, Rui
He, Ying
Feng, Xiaoyuan
Jiao, Nianzhi
TI Metagenomic Analysis of Virioplankton of the Subtropical Jiulong River
Estuary, China
SO VIRUSES-BASEL
DT Article
AB Viruses are the most abundant biological entities in the oceans, and encompass a significant reservoir of genetic diversity. However, little is known about their biodiversity in estuary environments, which represent a highly dynamic and potentially more diverse habitat. Here, we report a metagenomic analysis of the dsDNA viral community from the Jiulong River Estuary (JRE), China, and provide a comparative analysis with other closely related environments. The results showed that the majority of JRE virome did not show any significant similarity to the database. For the major viral group (Caudovirales) detected in the sample, Podoviridae (44.88%) were the most abundant family, followed by Siphoviridae (32.98%) and Myoviridae (17.32%). The two most abundant viruses identified in the virome were phages HTVC010P and HMO-2011, which infect bacteria belonging to marine SAR11 and SAR116 clades, respectively. Two contigs larger than 20 kb, which show similar overall genome architectures to Celeribacter phage P12053L and Thalosomonas phage BA3, respectively, were generated during assembly. Comparative analysis showed that the JRE virome was more similar to marine viromes than to freshwater viromes, and shared a relative coarse-grain genetic overlap (averaging 14.14% +/- 1.68%) with other coastal viromes. Our study indicated that the diversity and community structure of the virioplankton found in JRE were mainly affected by marine waters, with less influence from freshwater discharge.
C1 [Cai, Lanlan; Zhang, Rui; Jiao, Nianzhi] Xiamen Univ Xiangan, Inst Marine Microbes & Ecospheres, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
[He, Ying; Feng, Xiaoyuan] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, State Key Lab Microbial Metab, Shanghai 200240, Peoples R China.
RP Zhang, R; Jiao, NZ (corresponding author), Xiamen Univ Xiangan, Inst Marine Microbes & Ecospheres, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
EM cailanlan@stu.xmu.edu.cn; ruizhang@xmu.edu.cn; heying1982@sjtu.edu.cn;
asdfeng131@sjtu.edu.cn; jiao@xmu.edu.cn
CR Adriaenssens EM, 2015, ENVIRON MICROBIOL, V17, P480, DOI 10.1111/1462-2920.12528
de Cárcer DA, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400127
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Angly FE, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000593
[Anonymous], 2001, EXPO32 V1 2
Bellas CM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00656
Besemer J, 2001, NUCLEIC ACIDS RES, V29, P2607, DOI 10.1093/nar/29.12.2607
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Breitbart M, 2003, J BACTERIOL, V185, P6220, DOI 10.1128/JB.185.20.6220-6223.2003
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brum J.R., 2015, NAT REV MICROBIOL
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2013, ISME J, V7, P1738, DOI 10.1038/ismej.2013.67
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Cai LL, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0136741
Chow CET, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00265
Coetzee B, 2010, VIROLOGY, V400, P157, DOI 10.1016/j.virol.2010.01.023
Edwards RA, 2005, NAT REV MICROBIOL, V3, P504, DOI 10.1038/nrmicro1163
Efrony R, 2007, CORAL REEFS, V26, P7, DOI 10.1007/s00338-006-0170-1
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Green JC, 2015, AQUAT MICROB ECOL, V75, P117, DOI 10.3354/ame01752
Helton RR, 2009, APPL ENVIRON MICROB, V75, P2259, DOI 10.1128/AEM.02551-08
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Jacquet S, 2010, ADV OCEANOGR LIMNOL, V1, P97, DOI DOI 10.1080/19475721003743843
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Jiao NZ, 2006, J MAR BIOL ASSOC UK, V86, P543, DOI 10.1017/S0025315406013452
Jiao NZ, 2002, AQUAT MICROB ECOL, V30, P37
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Jones MS, 2005, J VIROL, V79, P8230, DOI 10.1128/JVI.79.13.8230-8236.2005
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kang I, 2012, J VIROL, V86, P8339, DOI 10.1128/JVI.01153-12
Kim Y, 2015, ENVIRON SCI TECHNOL, V49, P8396, DOI 10.1021/acs.est.5b01633
Kimata N, 2004, MICROBIAL ECOL, V47, P41, DOI 10.1007/s00248-003-1032-9
Lindell D, 2005, NATURE, V438, P86, DOI 10.1038/nature04111
Liu LM, 2011, HYDROBIOLOGIA, V678, P113, DOI 10.1007/s10750-011-0834-x
López-Bueno A, 2009, SCIENCE, V326, P858, DOI 10.1126/science.1179287
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Martínez JM, 2014, ISME J, V8, P1079, DOI 10.1038/ismej.2013.214
MATES A, 1992, MICROBIOS, V71, P89
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Ng TFF, 2009, J GEN VIROL, V90, P1256, DOI 10.1099/vir.0.008987-0
Niu BF, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-187
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Roux S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033641
Roux S, 2011, BIOINFORMATICS, V27, P3074, DOI 10.1093/bioinformatics/btr519
Schoenfeld T, 2008, APPL ENVIRON MICROB, V74, P4164, DOI 10.1128/AEM.02598-07
Shan DP, 2015, MICROBIOL RES, V175, P16, DOI 10.1016/j.micres.2015.02.005
Steward GF, 2000, LIMNOL OCEANOGR, V45, P1697, DOI 10.4319/lo.2000.45.8.1697
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Thurber RV, 2009, NAT PROTOC, V4, P470, DOI 10.1038/nprot.2009.10
Tseng CH, 2013, ISME J, V7, P2374, DOI 10.1038/ismej.2013.118
VELAMMAL A, 1994, INDIAN J MAR SCI, V23, P239
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Williamson SJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042047
Winter C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100600
Wommack KE, 2008, APPL ENVIRON MICROB, V74, P1453, DOI 10.1128/AEM.02181-07
Zhang R, 2014, NAT REV MICROBIOL, V12, DOI 10.1038/nrmicro3384
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 62
TC 39
Z9 45
PD FEB
PY 2016
VL 8
IS 2
AR 35
DI 10.3390/v8020035
UT WOS:000371831800027
DA 2025-07-30
ER
PT J
AU Bacosa, HP
Liu, ZF
Erdner, DL
AF Bacosa, Hernando P.
Liu, Zhanfei
Erdner, Deana L.
TI Natural Sunlight Shapes Crude Oil-Degrading Bacterial Communities in
Northern Gulf of Mexico Surface Waters
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Following the Deepwater Horizon (DWH) spill in 2010, an enormous amount of oil was observed in the deep and surface waters of the northern Gulf of Mexico. Surface waters are characterized by intense sunlight and high temperature during summer. While the oil-degrading bacterial communities in the deep-sea plume have been widely investigated, the effect of natural sunlight on those in oil polluted surface waters remains unexplored to date. In this study, we incubated surface water from the DWH site with amendments of crude oil, Corexit dispersant, or both for 36 days under natural sunlight in the northern Gulf of Mexico. The bacterial community was analyzed over time for total abundance, density of alkane and polycyclic aromatic hydrocarbon degraders, and community composition via pyrosequencing. Our results showed that, for treatments with oil and/or Corexit, sunlight significantly reduced bacterial diversity and evenness and was a key driver of shifts in bacterial community structure. In samples containing oil or dispersant, sunlight greatly reduced abundance of the Cyanobacterium Synechococcus but increased the relative abundances of Alteromonas, Marinobacter, Labrenzia, Sandarakinotalea, Bartonella, and Halomonas. Dark samples with oil were represented by members of Thalassobius, Winogradskyella, Alcanivorax, Formosa, Pseudomonas, Eubacterium, Erythrobacter, Natronocella, and Coxiella. Both oil and Corexit inhibited the Candidatus Pelagibacter with or without sunlight exposure. For the first time, we demonstrated the effects of light in structuring microbial communities in water with oil and/or Corexit. Overall, our findings improve understanding of oil pollution in surface water, and provide unequivocal evidence that sunlight is a key factor in determining bacterial community composition and dynamics in oil polluted marine waters.
C1 [Bacosa, Hernando P.; Liu, Zhanfei; Erdner, Deana L.] Univ Texas Austin, Inst Marine Sci, Port Aransas, TX 78373 USA.
RP Erdner, DL (corresponding author), Univ Texas Austin, Inst Marine Sci, Port Aransas, TX 78373 USA.
EM derdner@utexas.edu
NR 0
TC 73
Z9 81
PD DEC 1
PY 2015
VL 6
AR 1326
DI 10.3389/fmicb.2015.01325
UT WOS:000366553800001
DA 2025-07-30
ER
PT J
AU Thiele, S
Richter, M
Balestra, C
Glöckner, FO
Casotti, R
AF Thiele, Stefan
Richter, Michael
Balestra, Cecilia
Gloeckner, Frank Oliver
Casotti, Raffaella
TI Taxonomic and functional diversity of a coastal planktonic bacterial
community in a river-influenced marine area
SO MARINE GENOMICS
DT Article
AB The Gulf of Naples is a dynamical area with intense exchanges between offshore oligotrophic and coastal eutrophic waters with frequent freshwater inputs. The Sarno River, one of the most polluted rivers in Europe, strongly contributes to the pollution of the area, discharging high amounts of heavy metals and organic wastes from heavily cultivated and industrial areas. This paper reports on the diversity and community structure of the marine residential Bacteria and Archaea of the Gulf of Naples in an area close to the river Sarno plume and investigates their small-scale taxonomic diversity and expression patterns as a proxy of potential metabolic activity using metagenomics and metatranscriptomics. Bacteria and Archaea were mainly represented by marine clades, with only minor contributors from freshwater ones. The community was dominated by Alpha- and Gammaproteobacteria, of which Rhodospirillales, Pelagibacteriales, and Oceanospirilalles were most represented. However, Alteromonadales and Rhodobacterales were the most active, despite their relative lower abundance, suggesting that they are important for overall ecosystem functioning and nutrient cycling. Nitrification and a reversed form of dissimilatory sulfate reduction were the major metabolic processes found in the metatrascriptomes and were mainly associated to NitrosopuMilaleS and Pelagibacter, respectively. No clear indication of transcripts related to stress induced by heavy metals or organic pollutants was found. In general, despite the high loads of pollutants discharged continuously by the Sarno River, the microbial community did not show marks of stress-induced changes neither structural nor functional, thus suggesting that this river has little or no effect on the planktonic bacterial community of the Gulf of Naples. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Thiele, Stefan; Balestra, Cecilia; Casotti, Raffaella] Stn Zool Anton Dohrn, I-80121 Naples, Italy.
[Richter, Michael; Gloeckner, Frank Oliver] Max Planck Inst Marine Microbiol, Celsiusstr 1, D-28359 Bremen, Germany.
[Gloeckner, Frank Oliver] Jacobs Univ Bremen gGmbH, Campus Ring 1, D-28759 Bremen, Germany.
[Thiele, Stefan] MIT, Parsons Lab 15 Vassar St, Cambridge, MA 02139 USA.
RP Casotti, R (corresponding author), Stn Zool Anton Dohrn, I-80121 Naples, Italy.
EM raffaella.casotti@szn.it
CR Adak GK, 2005, EMERG INFECT DIS, V11, P365
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
[Anonymous], IEEE BIBM 2014
[Anonymous], THESIS
[Anonymous], AUTOMATED CHEM ANAL
Arienzo M, 2001, WATER AIR SOIL POLL, V131, P349, DOI 10.1023/A:1011908019933
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Casotti R, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001541
Casotti R, 2000, MAR ECOL PROG SER, V195, P15, DOI 10.3354/meps195015
Core Team IL, 2013, R: A language and environment for statistical computing
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Crump BC, 2005, LIMNOL OCEANOGR, V50, P1718, DOI 10.4319/lo.2005.50.6.1718
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Crump BC, 2007, APPL ENVIRON MICROB, V73, P6802, DOI 10.1128/AEM.00648-07
De Pippo T, 2006, ENVIRON SCI POLLUT R, V13, P184, DOI 10.1065/espr2005.08.287
Elshahed MS, 2005, APPL ENVIRON MICROB, V71, P7598, DOI 10.1128/AEM.71.11.7598-7602.2005
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Fenchel T, 2008, J EXP MAR BIOL ECOL, V366, P99, DOI 10.1016/j.jembe.2008.07.013
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Fodelianakis S, 2014, APPL ENVIRON MICROB, V80, P3784, DOI 10.1128/AEM.00088-14
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Hewson I, 2014, APPL ENVIRON MICROB, V80, P328, DOI 10.1128/AEM.02680-13
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Huang TC, 1999, MICROBIOL-UK, V145, P743, DOI 10.1099/13500872-145-3-743
Jones K, 2001, J APPL MICROBIOL, V90, p68S, DOI 10.1046/j.1365-2672.2001.01355.x
Kanehisa M, 2014, NUCLEIC ACIDS RES, V42, pD199, DOI 10.1093/nar/gkt1076
Kern M, 2009, BBA-BIOENERGETICS, V1787, P646, DOI 10.1016/j.bbabio.2008.12.010
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Lindh MV, 2013, ENV MICROBIOL REP, V5, P252, DOI 10.1111/1758-2229.12009
Llorens-Marès T, 2015, ISME J, V9, P1648, DOI 10.1038/ismej.2014.254
Loy A, 2009, ENVIRON MICROBIOL, V11, P289, DOI 10.1111/j.1462-2920.2008.01760.x
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Markowitz VM, 2014, NUCLEIC ACIDS RES, V42, pD568, DOI 10.1093/nar/gkt919
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Meyer B, 2007, APPL ENVIRON MICROB, V73, P7664, DOI 10.1128/AEM.01272-07
Montuori P, 2013, ECOTOXICOLOGY, V22, P295, DOI 10.1007/s10646-012-1026-9
Montuori P, 2012, MAR POLLUT BULL, V64, P512, DOI 10.1016/j.marpolbul.2012.01.003
Muyzer G, 2011, STAND GENOMIC SCI, V4, P23, DOI 10.4056/sigs.1483693
Nogales B, 2011, FEMS MICROBIOL REV, V35, P275, DOI 10.1111/j.1574-6976.2010.00248.x
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Pepi M, 2016, SCI TOTAL ENVIRON, V562, P588, DOI 10.1016/j.scitotenv.2016.04.097
Peura S, 2012, ISME J, V6, P1640, DOI 10.1038/ismej.2012.21
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Read DS, 2015, ISME J, V9, P516, DOI 10.1038/ismej.2014.166
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Satinsky BM, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-17
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Thar R, 2001, APPL ENVIRON MICROB, V67, P5410, DOI 10.1128/AEM.67.12.5410-5419.2001
Thiele S, 2012, APPL ENVIRON MICROB, V78, P8803, DOI 10.1128/AEM.01814-12
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang Y, 2012, APPL ENVIRON MICROB, V78, P8264, DOI 10.1128/AEM.01821-12
Winter C, 2007, APPL ENVIRON MICROB, V73, P421, DOI 10.1128/AEM.01849-06
Wu ZJ, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-564
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Zehr JP, 2011, ANNU REV MAR SCI, V3, P197, DOI 10.1146/annurev-marine-120709-142819
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 62
TC 15
Z9 16
PD APR
PY 2017
VL 32
BP 61
EP 69
DI 10.1016/j.margen.2016.12.003
UT WOS:000399519700008
DA 2025-07-30
ER
PT J
AU Poiata, E
Meyer, MM
Ames, TD
Breaker, RR
AF Poiata, Elena
Meyer, Michelle M.
Ames, Tyler D.
Breaker, Ronald R.
TI A variant riboswitch aptamer class for S-adenosylmethionine
common in marine bacteria
SO RNA
DT Article
AB Riboswitches that sense S-adenosylmethionine (SAM) are widely distributed throughout a variety of bacterial lineages. Four classes of SAM-binding riboswitches have been reported to date, constituting the most diverse collection of riboswitch classes that sense the same compound. Three of these classes, termed SAM-I, SAM-II, and SAM-III represent unique structures that form distinct binding pockets for the ligand. SAM-IV riboswitches carry different conserved sequence and structural features compared to other SAM riboswitches, but nucleotides and substructures corresponding to the ligand binding pocket are identical to SAM-I aptamers. In this article, we describe a fifth class of SAM binding aptamer, which we have termed SAM-V. SAM-V was discovered by analyzing GC-rich intergenic regions preceding metabolic genes in the marine alpha-proteobacterium "Candidatus Pelagibacter ubique.'' Although the motif is nearly unrepresented in cultured bacteria whose genomes have been completely sequenced, SAM-V is prevalent in marine metagenomic sequences. The consensus sequence and structure of SAM-V show some similarities to that of the SAM-II riboswitch, and it is likely that the two aptamers form similar ligand binding pockets. In addition, we identified numerous examples of a tandem SAM-II/SAM-V aptamer architecture. In this arrangement, the SAM-II aptamer is always positioned 5' of the SAM-V aptamer and the SAM-II aptamer is followed by a predicted intrinsic transcription terminator stem. The SAM-V aptamer, however, appears to use a ribosome binding site occlusion mechanism for genetic regulation. This tandem riboswitch arrangement exhibits an architecture that can potentially control both the transcriptional and translational stages of gene expression.
C1 [Poiata, Elena; Meyer, Michelle M.; Ames, Tyler D.; Breaker, Ronald R.] Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA.
[Breaker, Ronald R.] Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USA.
[Breaker, Ronald R.] Yale Univ, Howard Hughes Med Inst, New Haven, CT 06520 USA.
RP Breaker, RR (corresponding author), Yale Univ, Dept Mol Cellular & Dev Biol, POB 208103, New Haven, CT 06520 USA.
EM ronald.breaker@yale.edu
CR Barrick JE, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-11-r239
Bowman JP, 1998, MICROBIOL-UK, V144, P1601, DOI 10.1099/00221287-144-6-1601
Breaker RR, 2008, SCIENCE, V319, P1795, DOI 10.1126/science.1152621
Cheah MT, 2007, NATURE, V447, P497, DOI 10.1038/nature05769
Corbino KA, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-8-r70
Epshtein V, 2003, P NATL ACAD SCI USA, V100, P5052, DOI 10.1073/pnas.0531307100
Fuchs RT, 2006, NAT STRUCT MOL BIOL, V13, P226, DOI 10.1038/nsmb1059
Fuchs RT, 2007, P NATL ACAD SCI USA, V104, P4876, DOI 10.1073/pnas.0609956104
Gilbert SD, 2008, NAT STRUCT MOL BIOL, V15, P177, DOI 10.1038/nsmb.1371
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grillo MA, 2008, AMINO ACIDS, V34, P187, DOI 10.1007/s00726-007-0500-9
Grundy FJ, 1998, MOL MICROBIOL, V30, P737, DOI 10.1046/j.1365-2958.1998.01105.x
Lim J, 2006, ANGEW CHEM INT EDIT, V45, P964, DOI 10.1002/anie.200503198
Lu C, 2008, NAT STRUCT MOL BIOL, V15, P1076, DOI 10.1038/nsmb.1494
Mandal M, 2004, NAT STRUCT MOL BIOL, V11, P29, DOI 10.1038/nsmb710
Mandal M, 2004, SCIENCE, V306, P275, DOI 10.1126/science.1100829
McDaniel BAM, 2003, P NATL ACAD SCI USA, V100, P3083, DOI 10.1073/pnas.0630422100
Meyer MM, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-268
Montange RK, 2008, ANNU REV BIOPHYS, V37, P117, DOI 10.1146/annurev.biophys.37.032807.130000
Montange RK, 2006, NATURE, V441, P1172, DOI 10.1038/nature04819
MORRIS SR, 2002, NATURE, V418, P630
Nahvi A, 2002, CHEM BIOL, V9, P1043, DOI 10.1016/S1074-5521(02)00224-7
Rieder R, 2007, CHEMBIOCHEM, V8, P896, DOI 10.1002/cbic.200700057
Rodionov DA, 2004, NUCLEIC ACIDS RES, V32, P3340, DOI 10.1093/nar/gkh659
Roth A, 2007, NAT STRUCT MOL BIOL, V14, P308, DOI 10.1038/nsmb1224
Roth A, 2009, ANNU REV BIOCHEM, V78, P305, DOI 10.1146/annurev.biochem.78.070507.135656
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Soukup GA, 1999, RNA, V5, P1308, DOI 10.1017/S1355838299990891
Soukup GA, 2001, RNA, V7, P524, DOI 10.1017/S1355838201002175
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Stoddard CD, 2006, ACS CHEM BIOL, V1, P751, DOI 10.1021/cb600458w
Sudarsan N, 2006, SCIENCE, V314, P300, DOI 10.1126/science.1130716
Takusagawa F., 1998, Comprehensive Biological Catalysis, P1
Tomsic J, 2008, J BACTERIOL, V190, P823, DOI 10.1128/JB.01034-07
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Wachter A, 2007, PLANT CELL, V19, P3437, DOI 10.1105/tpc.107.053645
Wang JX, 2008, MOL CELL, V29, P691, DOI 10.1016/j.molcel.2008.01.012
Wang JX, 2008, BIOCHEM CELL BIOL, V86, P157, DOI 10.1139/O08-008
Weinberg Z, 2008, RNA, V14, P822, DOI 10.1261/rna.988608
Weinberg Z, 2007, NUCLEIC ACIDS RES, V35, P4809, DOI 10.1093/nar/gkm487
Welz R, 2007, RNA, V13, P573, DOI 10.1261/rna.407707
Wickiser JK, 2005, MOL CELL, V18, P49, DOI 10.1016/j.molcel.2005.02.032
Winkler W, 2002, NATURE, V419, P952, DOI 10.1038/nature01145
Winkler WC, 2004, NATURE, V428, P281, DOI 10.1038/nature02362
Winkler WC, 2003, NAT STRUCT BIOL, V10, P701, DOI 10.1038/nsb967
Worden AZ, 2009, SCIENCE, V324, P268, DOI 10.1126/science.1167222
Yao Z, 2007, PLOS COMPUT BIOL, V3, P1212, DOI 10.1371/journal.pcbi.0030126
Yarnell WS, 1999, SCIENCE, V284, P611, DOI 10.1126/science.284.5414.611
NR 48
TC 93
Z9 129
PD NOV
PY 2009
VL 15
IS 11
BP 2046
EP 2056
DI 10.1261/rna.1824209
UT WOS:000270851000012
DA 2025-07-30
ER
PT J
AU Liu, L
Gao, X
Dong, CJ
Wang, HY
Chen, XF
Ma, XY
Liu, SJ
Chen, QR
Lin, D
Jiao, NZ
Tang, K
AF Liu, Le
Gao, Xiang
Dong, Changjie
Wang, Huanyu
Chen, Xiaofeng
Ma, Xiaoyi
Liu, Shujing
Chen, Quanrui
Lin, Dan
Jiao, Nianzhi
Tang, Kai
TI Enantioselective transformation of phytoplankton-derived
dihydroxypropanesulfonate by marine bacteria
SO ISME JOURNAL
DT Article
AB Chirality, a fundamental property of matter, is often overlooked in the studies of marine organic matter cycles. Dihydroxypropanesulfonate (DHPS), a globally abundant organosulfur compound, serves as an ecologically important currency for nutrient and energy transfer from phytoplankton to bacteria in the ocean. However, the chirality of DHPS in nature and its transformation remain unclear. Here, we developed a novel approach using chiral phosphorus-reagent labeling to separate DHPS enantiomers. Our findings demonstrated that at least one enantiomer of DHPS is present in marine diatoms and coccolithophores, and that both enantiomers are widespread in marine environments. A novel chiral-selective DHPS catabolic pathway was identified in marine Roseobacteraceae strains, where HpsO and HpsP dehydrogenases at the gateway to DHPS catabolism act specifically on R-DHPS and S-DHPS, respectively. R-DHPS is also a substrate for the dehydrogenase HpsN. All three dehydrogenases generate stable hydrogen bonds between the chirality-center hydroxyls of DHPS and highly conserved residues, and HpsP also form coordinate-covalent bonds between the chirality-center hydroxyls and Zn2+, which determines the mechanistic basis of strict stereoselectivity. We further illustrated the role of enzymatic promiscuity in the evolution of DHPS metabolism in Roseobacteraceae and SAR11. This study provides the first evidence of chirality's involvement in phytoplankton-bacteria metabolic currencies, opening a new avenue for understanding the ocean organosulfur cycle.
C1 [Liu, Le; Dong, Changjie; Wang, Huanyu; Ma, Xiaoyi; Liu, Shujing; Chen, Quanrui; Lin, Dan; Jiao, Nianzhi; Tang, Kai] Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Fujian Key Lab Marine Carbon Sequestrat, Xiangan South Rd, Xiamen 361102, Peoples R China.
[Gao, Xiang] Xiamen Univ, Sch Pharmaceut Sci, State Key Lab Cellular Stress Biol, Fujian Prov Key Lab Innovat Drug Target Res, Xiamen 361102, Peoples R China.
[Chen, Xiaofeng] Minist Nat Resources, Inst Oceanog 3, Tech Innovat Ctr Utilizat Marine Biol Resources, Xiamen 361001, Peoples R China.
RP Tang, K (corresponding author), Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Fujian Key Lab Marine Carbon Sequestrat, Xiangan South Rd, Xiamen 361102, Peoples R China.
EM tangkai@xmu.edu.cn
CR Adams PD, 2010, ACTA CRYSTALLOGR D, V66, P213, DOI 10.1107/S0907444909052925
Banfield MJ, 2001, J MOL BIOL, V306, P239, DOI 10.1006/jmbi.2000.4381
Barbosa JARG, 2002, P NATL ACAD SCI USA, V99, P1859, DOI 10.1073/pnas.022476199
Becker S, 2020, P NATL ACAD SCI USA, V117, P6599, DOI 10.1073/pnas.1917001117
Bian XQ, 2023, J PHARM ANAL, V13, P315, DOI 10.1016/j.jpha.2023.02.003
Bitchagno GTM, 2022, NAT REV CHEM, V6, P806, DOI 10.1038/s41570-022-00431-4
Chen XF, 2021, ENVIRON INT, V157, DOI 10.1016/j.envint.2021.106829
Denger K, 2006, BIOCHEM J, V394, P657, DOI 10.1042/BJ20051311
Denger K, 2014, NATURE, V507, P114, DOI 10.1038/nature12947
Denger K, 2010, MICROBIOL-SGM, V156, P967, DOI 10.1099/mic.0.034736-0
Devinsky F, 2021, SYMMETRY-BASEL, V13, DOI 10.3390/sym13122277
Dittmar T, 2021, NAT REV EARTH ENV, V2, P570, DOI 10.1038/s43017-021-00183-7
Durham BP, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00763-21
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Durham BP, 2015, P NATL ACAD SCI USA, V112, P453, DOI 10.1073/pnas.1413137112
Ekroos M, 2006, P NATL ACAD SCI USA, V103, P13682, DOI 10.1073/pnas.0603236103
Emsley P, 2004, ACTA CRYSTALLOGR D, V60, P2126, DOI 10.1107/S0907444904019158
Falkowski PG, 2004, COCCOLITHOPHORES: FROM MOLECULAR PROCESSES TO GLOBAL IMPACT, P429
Felux AK, 2015, P NATL ACAD SCI USA, V112, pE4298, DOI 10.1073/pnas.1507049112
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Fono LJ, 2005, ENVIRON SCI TECHNOL, V39, P9244, DOI 10.1021/es047965t
Ghosh D, 2001, J BIOL CHEM, V276, P18457, DOI 10.1074/jbc.M100538200
Gilchrist CLM, 2021, BIOINFORMATICS, V37, P2473, DOI 10.1093/bioinformatics/btab007
Guillard R.R.L., 1975, Culture of Marine Invertebrate Animals, P29, DOI [10.1007/978-1-4615-8714-9_3, DOI 10.1007/978-1-4615-8714-9_3]
Guzman GI, 2019, MOL SYST BIOL, V15, DOI 10.15252/msb.20188462
Huo YZ, 2019, ACTA OCEANOL SIN, V38, P84, DOI 10.1007/s13131-019-1345-2
Itoh N, 2014, APPL MICROBIOL BIOT, V98, P3889, DOI 10.1007/s00253-014-5619-5
Jorgensen NOG, 2006, BIOGEOCHEMISTRY, V81, P77, DOI 10.1007/s10533-006-9031-9
JORNVALL H, 1995, BIOCHEMISTRY-US, V34, P6003, DOI 10.1021/bi00018a001
Jumper J, 2021, NATURE, V596, P583, DOI 10.1038/s41586-021-03819-2
Li JL, 2023, CHEM SCI, V14, P11429, DOI 10.1039/d3sc01594g
Li XQ, 2017, J OCEAN U CHINA, V16, P1115, DOI 10.1007/s11802-017-3270-3
Liu JY, 2020, P NATL ACAD SCI USA, V117, P15599, DOI 10.1073/pnas.2003434117
Liu L, 2023, ISME J, V17, P393, DOI 10.1038/s41396-022-01353-1
Liu XX, 2023, ANAL CHEM, V95, P16830, DOI 10.1021/acs.analchem.3c02325
Lu QH, 2019, J HAZARD MATER, V368, P849, DOI 10.1016/j.jhazmat.2019.01.103
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Mayer J, 2010, MICROBIOL-SGM, V156, P1556, DOI 10.1099/mic.0.037580-0
Miton CM, 2021, CURR OPIN STRUC BIOL, V69, P160, DOI 10.1016/j.sbi.2021.04.007
Moran MA, 2022, NAT MICROBIOL, V7, P508, DOI 10.1038/s41564-022-01090-3
Moran MA, 2019, NAT REV MICROBIOL, V17, P665, DOI 10.1038/s41579-019-0250-1
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Morris GM, 2009, J COMPUT CHEM, V30, P2785, DOI 10.1002/jcc.21256
Olenina I., 2006, Biovolumes and size-classes of phytoplankton in the Baltic Sea, P144
Oppermann U, 2003, CHEM-BIOL INTERACT, V143, P247, DOI 10.1016/S0009-2797(02)00164-3
Otwinowski Z, 1997, METHOD ENZYMOL, V276, P307, DOI 10.1016/S0076-6879(97)76066-X
Pauly TA, 2003, STRUCTURE, V11, P1071, DOI 10.1016/S0969-2126(03)00167-9
Phillips JC, 2005, J COMPUT CHEM, V26, P1781, DOI 10.1002/jcc.20289
Qu G, 2019, BIORESOUR BIOPROCESS, V6, DOI 10.1186/s40643-019-0253-9
ROSSMANN MG, 1974, NATURE, V250, P194, DOI 10.1038/250194a0
Shanbhag AP, 2023, CHEMBIOCHEM, DOI 10.1002/cbic.202200687
SHILO M, 1957, J GEN MICROBIOL, V16, P482, DOI 10.1099/00221287-16-2-482
Shimizu T, 2012, J BIOL CHEM, V287, P40448, DOI 10.1074/jbc.M112.403055
Skolnick J, 2019, P NATL ACAD SCI USA, V116, P26571, DOI 10.1073/pnas.1908241116
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Subramanian B, 2019, NUCLEIC ACIDS RES, V47, pW270, DOI 10.1093/nar/gkz357
Takase R, 2016, PROTEINS, V84, P934, DOI 10.1002/prot.25042
Tang JW, 2021, CATAL SCI TECHNOL, V11, P6755, DOI 10.1039/d1cy01032h
van Kempen M, 2024, NAT BIOTECHNOL, V42, DOI 10.1038/s41587-023-01773-0
Vernette C, 2021, MOL ECOL RESOUR, V21, P1347, DOI 10.1111/1755-0998.13322
Villar E, 2018, NUCLEIC ACIDS RES, V46, pW289, DOI 10.1093/nar/gky376
Vollmer W, 2008, FEMS MICROBIOL REV, V32, P149, DOI 10.1111/j.1574-6976.2007.00094.x
Wang ZH, 2022, HARMFUL ALGAE, V118, DOI 10.1016/j.hal.2022.102297
Westermann LM, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adf5122
Wu K, 2020, CATAL SCI TECHNOL, V10, P1650, DOI 10.1039/c9cy02444a
Xiao WP, 2018, WATER RES, V128, P206, DOI 10.1016/j.watres.2017.10.051
Xing PY, 2018, ACCOUNTS CHEM RES, V51, P2324, DOI 10.1021/acs.accounts.8b00312
Yu Y, 2020, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02983
Zeng X, 2024, NAT CHEM BIOL, V20, P770, DOI 10.1038/s41589-024-01563-y
Zhang CX, 2022, NAT METHODS, V19, P1109, DOI 10.1038/s41592-022-01585-1
Zhang QM, 2009, PROTEIN SCI, V18, P294, DOI 10.1002/pro.32
Zhang YX, 2014, NAT CHEM BIOL, V10, P1028, DOI 10.1038/nchembio.1660
Zhang ZL, 2016, SCI CHINA EARTH SCI, V59, P17, DOI 10.1007/s11430-015-5155-x
NR 73
TC 5
Z9 5
PD JAN 8
PY 2024
VL 18
IS 1
AR wrae084
DI 10.1093/ismejo/wrae084
EA MAY 2024
UT WOS:001234293900001
DA 2025-07-30
ER
PT J
AU Kamennaya, NA
Geraki, K
Scanlan, DJ
Zubkov, MV
AF Kamennaya, Nina A.
Geraki, Kalotina
Scanlan, David J.
Zubkov, Mikhail, V
TI Accumulation of ambient phosphate into the periplasm of marine bacteria
is proton motive force dependent
SO NATURE COMMUNICATIONS
DT Article
AB Bacteria acquire phosphate (P-i) by maintaining a periplasmic concentration below environmental levels. We recently described an extracellular P-i buffer which appears to counteract the gradient required for P-i diffusion. Here, we demonstrate that various treatments to outer membrane (OM) constituents do not affect the buffered P-i because bacteria accumulate P-i in the periplasm, from which it can be removed hypo-osmotically. The periplasmic P-i can be gradually imported into the cytoplasm by ATP-powered transport, however, the proton motive force (PMF) is not required to keep P-i in the periplasm. In contrast, the accumulation of P-i into the periplasm across the OM is PMF-dependent and can be enhanced by light energy. Because the conventional mechanism of P-i-specific transport cannot explain P-i accumulation in the periplasm we propose that periplasmic P-i anions pair with chemiosmotic cations of the PMF and millions of accumulated P-i pairs could influence the periplasmic osmolarity of marine bacteria. The ubiquitous oceanic bacteria harbour an external phosphate buffer for modulating phosphate (P-i) uptake. Here, using both oceanic SAR11, Prochlorococcus and Synechococcus strains as a model, the authors show that the P-i buffer accumulation in the periplasm is proton motive force-dependent and can be enhanced by light energy.
C1 [Kamennaya, Nina A.; Zubkov, Mikhail, V] Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
[Kamennaya, Nina A.; Scanlan, David J.] Univ Warwick, Sch Life Sci, Gibbet Hill, Coventry CV4 7AL, W Midlands, England.
[Geraki, Kalotina] Harwell Sci & Innovat Campus, Diamond Light Source Ltd, Didcot OX11 0DE, Oxon, England.
[Zubkov, Mikhail, V] Scottish Marine Inst, Scottish Assoc Marine Sci, Oban PA37 1QA, Argyll, Scotland.
[Kamennaya, Nina A.] Tel Aviv Univ, George S Wise Fac Life Sci, Sch Plant Sci & Food Secur, IL-6997801 Tel Aviv, Israel.
RP Zubkov, MV (corresponding author), Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.; Zubkov, MV (corresponding author), Scottish Marine Inst, Scottish Assoc Marine Sci, Oban PA37 1QA, Argyll, Scotland.
EM Mikhail.Zubkov@sams.ac.uk
CR ATLAS E, 1976, Marine Chemistry, V4, P243, DOI 10.1016/0304-4203(76)90011-6
BELKIN S, 1988, METHOD ENZYMOL, V167, P670
Brahamsha B, 1996, P NATL ACAD SCI USA, V93, P6504, DOI 10.1073/pnas.93.13.6504
DICKSON AG, 1979, MAR CHEM, V7, P101, DOI 10.1016/0304-4203(79)90002-1
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Dyhrman ST, 2006, APPL ENVIRON MICROB, V72, P1452, DOI 10.1128/AEM.72.2.1452-1458.2006
Farrant GK, 2016, P NATL ACAD SCI USA, V113, pE3365, DOI 10.1073/pnas.1524865113
Frece J, 2005, J APPL MICROBIOL, V98, P285, DOI 10.1111/j.1365-2672.2004.02473.x
Fu FX, 2006, EUR J PHYCOL, V41, P15, DOI 10.1080/09670260500505037
Fuszard MA, 2010, FEMS MICROBIOL LETT, V306, P127, DOI 10.1111/j.1574-6968.2010.01942.x
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Hartmann M, 2014, ISME J, V8, P2280, DOI 10.1038/ismej.2014.56
HEPPEL LA, 1967, SCIENCE, V156, P1451, DOI 10.1126/science.156.3781.1451
HOBOT JA, 1984, J BACTERIOL, V160, P143, DOI 10.1128/JB.160.1.143-152.1984
Ikeya T, 1997, MAR BIOL, V129, P195, DOI 10.1007/s002270050160
Jumars Peter A., 1993, Marine Microbial Food Webs, V7, P121
Kamennaya NA, 2018, PLOS BIOL, V16, DOI 10.1371/journal.pbio.2003502
Kendall AI, 1923, PHYSIOL REV, V3, P438, DOI 10.1152/physrev.1923.3.3.438
Koch A. L., 1990, ADV MICROB ECOL, P37, DOI DOI 10.1007/978-1-4684-7612-5
Lebens M, 2002, J BACTERIOL, V184, P4466, DOI 10.1128/JB.184.16.4466-4474.2002
Li PN, 2018, ISME J, V12, P2389, DOI 10.1038/s41396-018-0191-0
LI WKW, 1985, MICROBIAL ECOL, V11, P11, DOI 10.1007/BF02015105
LUECKE H, 1990, NATURE, V347, P402, DOI 10.1038/347402a0
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Marion GM, 2011, MAR CHEM, V126, P89, DOI 10.1016/j.marchem.2011.04.002
MARTIN NL, 1986, ANTIMICROB AGENTS CH, V29, P1079, DOI 10.1128/AAC.29.6.1079
Martin W, 2003, PHILOS T R SOC B, V358, P59, DOI 10.1098/rstb.2002.1183
MARTINEZ J, 1993, APPL ENVIRON MICROB, V59, P3701, DOI 10.1128/AEM.59.11.3701-3707.1993
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
Masschalck B, 2003, CRIT REV MICROBIOL, V29, P191, DOI 10.1080/713610448
Mather RL, 2008, NAT GEOSCI, V1, P439, DOI 10.1038/ngeo232
Mazard S, 2012, J PHYCOL, V48, P94, DOI 10.1111/j.1529-8817.2011.01089.x
Mazard S, 2012, ENVIRON MICROBIOL, V14, P372, DOI 10.1111/j.1462-2920.2011.02514.x
McCarren J, 2005, J BACTERIOL, V187, P224, DOI 10.1128/JB.187.1.224-230.2005
Michelou VK, 2011, LIMNOL OCEANOGR, V56, P323, DOI 10.4319/lo.2011.56.1.0323
Moore LR, 2005, AQUAT MICROB ECOL, V39, P257, DOI 10.3354/ame039257
Müller V, 2003, CELL MOL LIFE SCI, V60, P474, DOI 10.1007/s000180300040
Neznansky A, 2014, FASEB J, V28, P5223, DOI 10.1096/fj.14-258293
NIKAIDO H, 1985, MICROBIOL REV, V49, P1
NITSCHMANN WH, 1986, J BACTERIOL, V168, P1205, DOI 10.1128/jb.168.3.1205-1211.1986
PADAN E, 1994, BBA-BIOENERGETICS, V1185, P129, DOI 10.1016/0005-2728(94)90204-6
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
PARSOT C, 1995, MOL MICROBIOL, V16, P291, DOI 10.1111/j.1365-2958.1995.tb02301.x
Pongprayoon P, 2009, P NATL ACAD SCI USA, V106, P21614, DOI 10.1073/pnas.0907315106
Post A.F, 2005, HARMFUL CYANOBACTERI
Rojas ER, 2018, NATURE, V559, P617, DOI 10.1038/s41586-018-0344-3
ROSENBERG H, 1977, J BACTERIOL, V131, P505, DOI 10.1128/JB.131.2.505-511.1977
Sañudo-Wilhelmy SA, 2004, NATURE, V432, P897, DOI 10.1038/nature03125
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Scanlan DJ, 2002, FEMS MICROBIOL ECOL, V40, P1, DOI 10.1111/j.1574-6941.2002.tb00930.x
SCANLAN DJ, 1993, MOL MICROBIOL, V10, P181, DOI 10.1111/j.1365-2958.1993.tb00914.x
SCHOLES P, 1969, EUR J BIOCHEM, V8, P450, DOI 10.1111/j.1432-1033.1969.tb00548.x
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
SKULACHEV VP, 1989, J BIOENERG BIOMEMBR, V21, P635, DOI 10.1007/BF00762683
Sohm JA, 2006, MAR ECOL PROG SER, V317, P21, DOI 10.3354/meps317021
Sohm JA, 2016, ISME J, V10, P333, DOI 10.1038/ismej.2015.115
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
SPILLER H, 1994, CAN J MICROBIOL, V40, P257, DOI 10.1139/m94-042
Strahl H, 2010, P NATL ACAD SCI USA, V107, P12281, DOI 10.1073/pnas.1005485107
Temperton B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016499
Tetu SG, 2009, ISME J, V3, P835, DOI 10.1038/ismej.2009.31
Ting CS, 2007, J BACTERIOL, V189, P4485, DOI 10.1128/JB.01948-06
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
WILLSKY GR, 1980, J BACTERIOL, V144, P356, DOI 10.1128/JB.144.1.356-365.1980
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8878
Zubkov MV, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4776
Zubkov M, 2007, J PLANKTON RES, V29, P79
ZUBKOV MV, 1995, MICROBIAL ECOL, V30, P157, DOI 10.1007/BF00172571
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 72
TC 33
Z9 34
PD MAY 26
PY 2020
VL 11
IS 1
DI 10.1038/s41467-020-16428-w
UT WOS:000538812100017
DA 2025-07-30
ER
PT J
AU Kan, J
Suzuki, MT
Wang, K
Evans, SE
Chen, F
AF Kan, Jinjun
Suzuki, Marcelino T.
Wang, Kui
Evans, Sarah E.
Chen, Feng
TI High temporal but low spatial heterogeneity of bacterioplankton in the
Chesapeake bay
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Compared to freshwater and the open ocean, less is known about bacterioplankton community structure and spatiotemporal dynamics in estuaries, particularly those with long residence times. The Chesapeake Bay is the largest estuary in the United States, but despite its ecological and economic significance, little is known about its microbial community composition. A rapid screening approach, ITS (internal transcribed spacer)-LH (length beterogeneity)-PCR, was used to screen six rRNA operon (16S rRNA,-ITS-23S rRNA) clone libraries constructed from bacterioplankton collected in three distinct regions of the Chesapeake Bay over two seasons. The natural length variation of the 16S-23S rRNA gene ITS region, as well as the presence and location of tRNA-alanine coding regions within the ITS, was determined for 576 clones. Clones representing unique ITS-LH-PCR sizes were sequenced and identified. Dramatic shifts in bacterial composition (changes within subgroups or clades) were observed for the Alphaproteobacteria (Roseobacter clade, SAR11), Cyanobacteria (Synechococcus), and Actinobacteria, suggesting strong seasonal variation within these taxonomic groups. Despite large gradients in salinity and phytoplankton parameters, a remarkably homogeneous bacterioplankton community was observed in the bay in each season. Stronger seasonal, rather than spatial, variation of the bacterioplankton population was also supported by denaturing gradient gel electrophoresis and LH-PCR analyses, indicating that environmental parameters with stronger seasonal, rather than regional, dynamics, such as temperature, might determine bacterioplankton community composition in the Chesapeake Bay.
C1 Univ Maryland, Ctr Marine Biotechnol, Inst Biotechnol, Baltimore, MD 21202 USA.
Univ Maryland, Ctr Environm Sci, Chesapeake Biol Lab, Solomons, MD 20688 USA.
RP Chen, F (corresponding author), Univ Maryland, Ctr Marine Biotechnol, Inst Biotechnol, Suite 236,701 E Pratt St, Baltimore, MD 21202 USA.
EM chenf@umbi.umd.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
ACKER J, 2005, DROUGHT DELUGE CHANG
Acker JG, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021852
Alavi M, 2001, ENVIRON MICROBIOL, V3, P380, DOI 10.1046/j.1462-2920.2001.00207.x
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
[Anonymous], 1969, Mammalian Protein Metabolism, DOI DOI 10.1016/B978-1-4832-3211-9.50009-7
Ausubel F.M., 2003, CURRENT PROTOCOLS MO
Baith K., 2001, Eos, Transactions, American Geophysical Union, V82, P202, DOI [10.1029/01EO00109, DOI 10.1029/01EO00109]
Barcina I, 1997, FEMS MICROBIOL ECOL, V23, P1, DOI 10.1111/j.1574-6941.1997.tb00385.x
BIDLE KD, 1995, APPL ENVIRON MICROB, V61, P944, DOI 10.1128/AEM.61.3.944-952.1995
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Bue C.D., 1968, Monthly Surface-Water Inflow to Chesapeake Bay (Tech.)
Chao A, 2006, PROGRAM SPADE SPECIE
Chen F, 2001, APPL ENVIRON MICROB, V67, P539, DOI 10.1128/AEM.67.2.539-545.2001
Chen F, 2006, APPL ENVIRON MICROB, V72, P2239, DOI 10.1128/AEM.72.3.2239-2243.2006
Chen F, 2004, AQUAT MICROB ECOL, V36, P153, DOI 10.3354/ame036153
Cottrell MT, 2005, ENVIRON MICROBIOL, V7, P1883, DOI 10.1111/j.1462-2920.2005.00762.x
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Curtis TP, 2002, P NATL ACAD SCI USA, V99, P10494, DOI 10.1073/pnas.142680199
DUCKLOW HW, 1992, ADV MICROB ECOL, V12, P113
FELDMAN GC, 2006, OCEANCOLOR WEB
Ferris MJ, 1996, APPL ENVIRON MICROB, V62, P340, DOI 10.1128/AEM.62.2.340-346.1996
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni S., 1991, NUCL ACID TECHNIQUES, P177
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Goodchild A, 2004, MOL MICROBIOL, V53, P309, DOI 10.1111/j.1365-2958.2004.04130.x
Harding LW, 2005, ESTUAR COAST SHELF S, V62, P75, DOI 10.1016/j.ecss.2004.08.011
HECK KL, 1975, ECOLOGY, V56, P1459, DOI 10.2307/1934716
Heidelberg JF, 2002, APPL ENVIRON MICROB, V68, P5488, DOI 10.1128/AEM.68.11.5488-5497.2002
Henriques IS, 2004, FEMS MICROBIOL ECOL, V49, P269, DOI 10.1016/j.femsec.2004.04.003
Henriques IS, 2006, ESTUAR COAST SHELF S, V68, P139, DOI 10.1016/j.ecss.2006.01.015
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Holland S., 1998, ARAREFACTWIN, DOI DOI 10.1080/10635150600852011
Hollibaugh JT, 2000, AQUAT MICROB ECOL, V21, P103, DOI 10.3354/ame021103
HURLBERT SH, 1971, ECOLOGY, V52, P577, DOI 10.2307/1934145
JENSEN MA, 1993, APPL ENVIRON MICROB, V59, P945, DOI 10.1128/AEM.59.4.945-952.1993
JONAS RB, 1990, APPL ENVIRON MICROB, V56, P747, DOI 10.1128/AEM.56.3.747-757.1990
Kan JJ, 2006, LIMNOL OCEANOGR, V51, P2157, DOI 10.4319/lo.2006.51.5.2157
Kan JJ, 2006, AQUAT MICROB ECOL, V42, P7, DOI 10.3354/ame042007
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Muller DG, 1996, J GEN VIROL, V77, P2329, DOI 10.1099/0022-1317-77-9-2329
Newton RJ, 2006, ENVIRON MICROBIOL, V8, P956, DOI 10.1111/j.1462-2920.2005.00979.x
Nixon SW, 1996, BIOGEOCHEMISTRY, V35, P141, DOI 10.1007/BF02179826
Noble PA, 1997, APPL ENVIRON MICROB, V63, P1762, DOI 10.1128/AEM.63.5.1762-1770.1997
O'Sullivan LA, 2005, INT J SYST EVOL MICR, V55, P2189, DOI 10.1099/ijs.0.63736-0
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Rappé MS, 1998, APPL ENVIRON MICROB, V64, P294
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Ravenschlag K, 1999, APPL ENVIRON MICROB, V65, P3982
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
RUGER HJ, 1992, INT J SYST BACTERIOL, V42, P133, DOI 10.1099/00207713-42-1-133
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schloss PD, 2004, APPL ENVIRON MICROB, V70, P5485, DOI 10.1128/AEM.70.9.5485-5492.2004
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
SHIAH FK, 1994, MAR ECOL PROG SER, V103, P297
SHIAH FK, 1994, LIMNOL OCEANOGR, V39, P1243, DOI 10.4319/lo.1994.39.6.1243
Singleton DR, 2001, APPL ENVIRON MICROB, V67, P4374, DOI 10.1128/AEM.67.9.4374-4376.2001
Smith D., 1992, OXYGEN DYNAMICS CHES
Smith EM, 2003, AQUAT MICROB ECOL, V30, P251, DOI 10.3354/ame030251
Suzuki M, 1998, APPL ENVIRON MICROB, V64, P4522
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
*US EPA, 1972, EPA600479020 ENV MON
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 82
TC 68
Z9 78
PD NOV
PY 2007
VL 73
IS 21
BP 6776
EP 6789
DI 10.1128/AEM.00541-07
UT WOS:000250700600010
DA 2025-07-30
ER
PT J
AU Yanuka-Golub, K
Belkin, N
Weber, N
Mayyani, M
Levy, Y
Reznik, IJ
Rubin-Blum, M
Rahav, E
Kiro, Y
AF Yanuka-Golub, Keren
Belkin, Natalia
Weber, Nurit
Mayyani, Meor
Levy, Yehuda
Reznik, Itay J.
Rubin-Blum, Maxim
Rahav, Eyal
Kiro, Yael
TI Allochthonous Groundwater Microorganisms Affect Coastal Seawater
Microbial Abundance, Activity and Diversity
SO JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
DT Article
AB Submarine groundwater discharge (SGD) is a globally important process supplying nutrients and trace elements to the coastal environment, thus playing a pivotal role in sustaining marine primary productivity. Along with nutrients, groundwater also contains allochthonous microbes that are discharged from the terrestrial subsurface into the sea. Currently, little is known about the interactions between groundwater-borne and coastal seawater microbial populations, and groundwater microbes' role upon introduction to coastal seawater populations. Here, we investigated seawater microbial abundance, activity and diversity in a site strongly influenced by SGD. In addition, through laboratory-controlled bottle incubations, we mimicked different mixing scenarios between groundwater and seawater. Our results demonstrate that the addition of 0.1 mu m filtered groundwater stimulated heterotrophic activity and increased microbial abundance compared to control coastal seawater, whereas 0.22 mu m filtration treatments induced primary productivity and Synechococcus growth. 16S rRNA gene sequencing showed a strong shift from a SAR11-rich community in the control samples to Rhodobacteraceae dominance in the <0.1 mu m treatment, in agreement with Rhodobacteraceae enrichment in the SGD field site. These results suggest that microbes delivered by SGD may affect the abundance, activity and diversity of intrinsic microbes in coastal seawater, highlighting the cryptic interplay between groundwater and seawater microbes in coastal environments, which has important implications for carbon cycling.
C1 [Yanuka-Golub, Keren; Weber, Nurit; Mayyani, Meor; Levy, Yehuda; Kiro, Yael] Weizmann Inst Sci, Dept Earth & Planetary Sci, Rehovot, Israel.
[Yanuka-Golub, Keren] Galilee Soc, Inst Appl Res, ShefaAmr, Israel.
[Yanuka-Golub, Keren] Univ Haifa, Inst Evolut IoE, Haifa, Israel.
[Belkin, Natalia; Rubin-Blum, Maxim; Rahav, Eyal] Israel Oceanog & Limnol Res, Natl Inst Oceanog, Haifa, Israel.
[Levy, Yehuda; Reznik, Itay J.] Geol Survey Israel, Jerusalem, Israel.
RP Yanuka-Golub, K (corresponding author), Weizmann Inst Sci, Dept Earth & Planetary Sci, Rehovot, Israel.; Yanuka-Golub, K (corresponding author), Galilee Soc, Inst Appl Res, ShefaAmr, Israel.; Yanuka-Golub, K (corresponding author), Univ Haifa, Inst Evolut IoE, Haifa, Israel.; Rahav, E (corresponding author), Israel Oceanog & Limnol Res, Natl Inst Oceanog, Haifa, Israel.
EM keren@gal-soc.org; keren@gal-soc.org
CR Adyasari D, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0235235
Adyasari D, 2019, SCI TOTAL ENVIRON, V689, P590, DOI 10.1016/j.scitotenv.2019.06.193
Bae SS, 2022, INT J SYST EVOL MICR, V72, DOI 10.1099/ijsem.0.005188
Bar-On YM, 2018, P NATL ACAD SCI USA, V115, P6506, DOI 10.1073/pnas.1711842115
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Burnett WC, 2003, BIOGEOCHEMISTRY, V66, P3, DOI 10.1023/B:BIOG.0000006066.21240.53
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carlson KM, 2016, AQUAT MICROB ECOL, V77, P167, DOI 10.3354/ame01797
Chamberlain SD, 2014, FEMS MICROBIOL ECOL, V89, P80, DOI 10.1111/1574-6941.12337
Chen L, 2019, SCI TOTAL ENVIRON, V678, P574, DOI 10.1016/j.scitotenv.2019.05.017
Chen XG, 2020, MAR POLLUT BULL, V160, DOI 10.1016/j.marpolbul.2020.111570
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
Degenhardt J, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.573570
Dhariwal A, 2017, NUCLEIC ACIDS RES, V45, pW180, DOI 10.1093/nar/gkx295
Erler DV, 2014, MAR CHEM, V164, P38, DOI 10.1016/j.marchem.2014.05.008
Fortunato CS, 2011, MICROB ECOL, V62, P374, DOI 10.1007/s00248-011-9805-z
Furman A., 2013, Groundwater management in Israel, P125
Garcés E, 2011, MAR ECOL PROG SER, V438, P47, DOI 10.3354/meps09311
Griebler C, 2009, FRESHWATER BIOL, V54, P649, DOI 10.1111/j.1365-2427.2008.02013.x
Hahn MW, 2003, APPL ENVIRON MICROB, V69, P1442, DOI 10.1128/AEM.69.3.1442-1451.2003
Hays RL, 2007, ESTUAR COAST, V30, P710, DOI 10.1007/BF02841967
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
HOOD MA, 1987, MICROB ECOL, V14, P113, DOI 10.1007/BF02013017
Jewell TNM, 2016, ISME J, V10, P2106, DOI 10.1038/ismej.2016.25
Kafri U., 2001, Hydrogeological Plan for the Development, Production and Exploitation of the Kabri Basin
Kearney SM, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-020-00370-x
Kiro Y, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006752
Kress N, 2005, DEEP-SEA RES PT II, V52, P3054, DOI 10.1016/j.dsr2.2005.08.013
Krom MD, 2010, PROG OCEANOGR, V85, P236, DOI 10.1016/j.pocean.2010.03.003
Lecher AL, 2017, HYDROLOGY-BASEL, V4, DOI 10.3390/hydrology4040061
Lecher AL, 2015, ENVIRON SCI TECHNOL, V49, P6665, DOI 10.1021/acs.est.5b00909
Lee E, 2017, LIMNOL OCEANOGR, V62, P437, DOI 10.1002/lno.10433
Liu XB, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0488-2
Luef B, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7372
MACDONELL MT, 1982, APPL ENVIRON MICROB, V43, P566, DOI 10.1128/AEM.43.3.566-571.1982
Magnabosco C, 2018, NAT GEOSCI, V11, P707, DOI 10.1038/s41561-018-0221-6
McAllister SM, 2015, LIMNOL OCEANOGR, V60, P329, DOI 10.1002/lno.10029
Momper L, 2017, ISME J, V11, P2319, DOI 10.1038/ismej.2017.94
Moore WS, 2010, ANNU REV MAR SCI, V2, P59, DOI 10.1146/annurev-marine-120308-081019
Moore WS, 1999, MAR CHEM, V65, P111, DOI 10.1016/S0304-4203(99)00014-6
Nakai R, 2020, MICROBES ENVIRON, V35, DOI 10.1264/jsme2.ME20025
Naqib A, 2018, METHODS MOL BIOL, V1783, P149, DOI 10.1007/978-1-4939-7834-2_7
Nielsen E.S., 1952, ICES J MAR SCI, V18, P117, DOI [10.1093/icesjms/18.2.117, DOI 10.1093/ICESJMS/18.2.117]
Osburn MR, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00610
Overholt WA, 2022, NAT GEOSCI, V15, P561, DOI 10.1038/s41561-022-00968-5
Paldor A, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2019JC015435
Paldor A, 2019, HYDROGEOL J, V27, P1611, DOI 10.1007/s10040-019-01958-5
Probst AJ, 2018, NAT MICROBIOL, V3, P328, DOI 10.1038/s41564-017-0098-y
Purkamo L, 2022, GEOCHIM COSMOCHIM AC, V334, P14, DOI 10.1016/j.gca.2022.06.040
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rahav E, 2016, SCI REP-UK, V6, DOI 10.1038/srep27858
Rahav E, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.611497
Rahav E, 2019, DEEP-SEA RES PT II, V164, P135, DOI 10.1016/j.dsr2.2019.03.004
Rahav E, 2018, MAR POLLUT BULL, V127, P559, DOI 10.1016/j.marpolbul.2017.12.048
Reznik I. J., 2024, PANGAEA, DOI [10.1594/PANGAEA.962218, DOI 10.1594/PANGAEA.962218]
Robinson CE, 2018, ADV WATER RESOUR, V115, P315, DOI 10.1016/j.advwatres.2017.10.041
Rocha C, 2021, ESTUAR COAST SHELF S, V250, DOI 10.1016/j.ecss.2021.107167
Rodellas V, 2015, P NATL ACAD SCI USA, V112, P3926, DOI 10.1073/pnas.1419049112
Ruiz-Gonzalez Clara, 2021, FEMS Microbiol Rev, V45, DOI 10.1093/femsre/fuab010
Santos IR, 2021, NAT REV EARTH ENV, V2, P307, DOI 10.1038/s43017-021-00152-0
Slomp CP, 2004, J HYDROL, V295, P64, DOI 10.1016/j.jhydrol.2004.02.018
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Unno T, 2015, SCI TOTAL ENVIRON, V532, P337, DOI 10.1016/j.scitotenv.2015.05.111
Velimirov B., 2001, Microbes and Environments, V16, P67, DOI DOI 10.1264/JSME2.2001.67
Vollberg F, 2019, HYDROLOGY-BASEL, V6, DOI 10.3390/hydrology6020039
Wang X, 2021, CURR MICROBIOL, V78, P3996, DOI 10.1007/s00284-021-02645-z
Weinstein Y., 2006, Radioactivity in the environment, P360, DOI [10.1016/S1569-4860(05)08029-0, DOI 10.1016/S1569-4860(05)08029-0]
Xia XM, 2021, SCI TOTAL ENVIRON, V798, DOI 10.1016/j.scitotenv.2021.149208
Yau VM, 2014, WATER RES, V59, P23, DOI 10.1016/j.watres.2014.03.050
Zheng Q, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01517-17
NR 72
TC 0
Z9 0
PD FEB
PY 2024
VL 129
IS 2
AR e2023JG007610
DI 10.1029/2023JG007610
UT WOS:001173753900001
DA 2025-07-30
ER
PT J
AU Ren, YH
Luo, ZH
Liu, Q
Wei, B
Wu, YH
Shu, WS
Xu, XW
AF Ren, Yanhu
Luo, Zhenhao
Liu, Qian
Wei, Bin
Wu, Yue-Hong
Shu, Wen-Sheng
Xu, Xue-Wei
TI Insights into community assembly mechanisms, biogeography, and metabolic
potential of particle-associated and free-living prokaryotes in tropical
oligotrophic surface oceans
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Heterotrophic prokaryotes constitute the largest living biomass in the ocean and can be divided into particle-associated (PA) and free-living (FL) fractions. PA and FL prokaryotic communities play critical roles in the biogeochemical cycles of particulate and dissolved organic matter; however, their community assembly processes, biogeographical distribution patterns, and functional properties in oligotrophic surface water remain to be further elucidated. Based on 16S rRNA gene sequencing and shotgun metagenomics, we investigated the assembly mechanisms, biogeography, and functional potential of PA and FL prokaryotes in the surface waters of the West Pacific and Indian Oceans. FL prokaryotic communities were predominantly structured by deterministic processes, whereas their PA counterparts appeared to be shaped by the combined action of deterministic and stochastic processes. PA and FL prokaryotes in the tropical oligotrophic surface ocean exhibit markedly different community structures and functional potentials. Bacterial PA specialists such as Lentimonas, Alteromonas, and Pirellula as well as archaeal PA specialists Marine Group II and Marine Group III were significantly more abundant in PA assemblages, whereas lineages such as Prochlorococcus, SAR11 clade, and Candidatus Actinomarina were significantly more abundant in FL communities. The metabolic potential of the PA community was more abundant in pathways such as polyamine biosynthesis, carbohydrate metabolism, and glycosaminoglycan degradation. In contrast, the FL community was more enriched in functions related to amino acid metabolism, lipid biosynthesis, and aromatic degradation.
C1 [Ren, Yanhu; Xu, Xue-Wei] Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China.
[Ren, Yanhu; Liu, Qian; Wu, Yue-Hong; Xu, Xue-Wei] Minist Nat Resources, Minist Nat Resources & Inst Oceanog 2, Key Lab Marine Ecosyst Dynam, Hangzhou, Peoples R China.
[Luo, Zhenhao] Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Guangdong Prov Key Lab Plant Resources & Southern, Guangzhou, Peoples R China.
[Wei, Bin] Zhejiang Univ Technol, Coll Pharmaceut Sci, Hangzhou, Peoples R China.
[Wei, Bin] Zhejiang Univ Technol, Collaborat Innovat Ctr Yangtze River Delta Reg Gre, Hangzhou, Peoples R China.
[Shu, Wen-Sheng] South China Normal Univ, Inst Ecol Sci, Sch Life Sci, Guangzhou, Peoples R China.
RP Xu, XW (corresponding author), Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China.; Xu, XW (corresponding author), Minist Nat Resources, Minist Nat Resources & Inst Oceanog 2, Key Lab Marine Ecosyst Dynam, Hangzhou, Peoples R China.; Shu, WS (corresponding author), South China Normal Univ, Inst Ecol Sci, Sch Life Sci, Guangzhou, Peoples R China.
EM shuwensheng@m.scnu.edu.cn; xuxw@sio.org.cn
CR Alneberg J, 2014, NAT METHODS, V11, P1144, DOI [10.1038/NMETH.3103, 10.1038/nmeth.3103]
Arnosti C, 2021, ANNU REV MAR SCI, V13, P81, DOI 10.1146/annurev-marine-032020-012810
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
Bizic-Ionescu M, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02569
Bizic-Ionescu M, 2015, ENVIRON MICROBIOL, V17, P3500, DOI 10.1111/1462-2920.12466
Boeuf D, 2019, P NATL ACAD SCI USA, V116, P11824, DOI 10.1073/pnas.1903080116
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
De La Rocha C. L., 2014, Treatise on geochemistry, P93, DOI DOI 10.1016/B978-0-08-095975-7.00604-5
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hollibaugh JT, 2000, AQUAT MICROB ECOL, V21, P103, DOI 10.3354/ame021103
Huerta-Cepas J, 2019, NUCLEIC ACIDS RES, V47, pD309, DOI 10.1093/nar/gky1085
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jain A, 2021, FEMS MICROBIOL ECOL, V97, DOI 10.1093/femsec/fiab139
Kanehisa M, 2021, NUCLEIC ACIDS RES, V49, pD545, DOI 10.1093/nar/gkaa970
Kang DWD, 2019, PEERJ, V7, DOI 10.7717/peerj.7359
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Knight R, 2018, NAT REV MICROBIOL, V16, P410, DOI 10.1038/s41579-018-0029-9
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Li JL, 2018, MICROB ECOL, V76, P637, DOI 10.1007/s00248-018-1174-4
Liu JW, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0652-3
Liu YY, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138856
Logares R, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00827-8
Mestre M, 2018, P NATL ACAD SCI USA, V115, pE6799, DOI 10.1073/pnas.1802470115
Michael AJ, 2018, J BIOL CHEM, V293, P18693, DOI 10.1074/jbc.TM118.005670
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
MODIS-Aqua, 2018, MOD RES IM SPECTR MO
Morán XAG, 2017, GLOBAL CHANGE BIOL, V23, P3956, DOI 10.1111/gcb.13730
Ning DL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18560-z
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Ortega-Retuerta E, 2013, BIOGEOSCIENCES, V10, P2747, DOI 10.5194/bg-10-2747-2013
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
SHARP JH, 1973, LIMNOL OCEANOGR, V18, P441, DOI 10.4319/lo.1973.18.3.0441
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Simon HM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00466
Song WZ, 2017, BIOINFORMATICS, V33, P1873, DOI 10.1093/bioinformatics/btx086
Suzuki S, 2017, J OCEANOGR, V73, P383, DOI 10.1007/s10872-016-0410-0
Szabo RE, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2117748119
Tarn J, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00665
Thiele S, 2015, APPL ENVIRON MICROB, V81, P1463, DOI 10.1128/AEM.02570-14
Ulloa O, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2025638118
Uritskiy GV, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0541-1
Vellend M., 2016, THEORY ECOLOGICAL CO
Wu YW, 2016, BIOINFORMATICS, V32, P605, DOI 10.1093/bioinformatics/btv638
Yuan HT, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9122445
Yung CM, 2016, APPL ENVIRON MICROB, V82, P3431, DOI 10.1128/AEM.00395-16
Zhang CL, 2018, NATL SCI REV, V5, P481, DOI 10.1093/nsr/nwy074
Zhang R, 2007, FEMS MICROBIOL ECOL, V61, P496, DOI 10.1111/j.1574-6941.2007.00353.x
Zhou JZ, 2017, MICROBIOL MOL BIOL R, V81, DOI 10.1128/MMBR.00002-17
NR 64
TC 2
Z9 2
PD SEP 15
PY 2022
VL 9
AR 923295
DI 10.3389/fmars.2022.923295
UT WOS:000862140400001
DA 2025-07-30
ER
PT J
AU Hmelo, LR
Van Mooy, BAS
Mincer, TJ
AF Hmelo, L. R.
Van Mooy, B. A. S.
Mincer, T. J.
TI Characterization of bacterial epibionts on the cyanobacterium
Trichodesmium
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Interest in Trichodesmium, a nitrogen-fixing genus of Cyanobacteria, has been fueled by its prominent role in the marine nitrogen cycle. However, it is often overlooked that Trichodesmium occur in the ocean as colonies and are only one member of a complex microbial consortium. In the present study, we used 16S rRNA gene sequences to phylogenetically classify the communities associated with 2 morphological types of Trichodesmium colonies, tufts and puffs, which were collected at the Bermuda Atlantic Time Series (BATS) site in the Sargasso Sea. Both Trichodesmium morphotypes were most closely related to T. thiebautii at >= 99% identity. Non-cyanobacterial sequences from both types of colonies were dominated by Flavobacteria, Sphingobacteria, and Alphaproteobacteria. However, the epibiotic communities possessed significantly lower diversity than bacterioplankton; major seawater planktonic taxa, such as the SAR11 clade and Archaea, were conspicuously absent. Moreover, several epibiotic taxa appeared to be novel. Among the tuft or puff 16S rRNA clone libraries constructed in the present study, epibionts sharing common operational taxonomic units at the 97 percent sequence identity (PSI) threshold or higher were not observed, presenting the possibility that these 2 morphologies could select for different epibiotic communities. While our data are representative of a single sample point in time and space, these data suggest that Trichodesmium possess an epibiotic microbial community of relatively low diversity, distinct from that observed in bacterial picoplankton.
C1 [Hmelo, L. R.; Van Mooy, B. A. S.; Mincer, T. J.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
RP Mincer, TJ (corresponding author), Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
EM tmincer@whoi.edu
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Behrens S, 2008, APPL ENVIRON MICROB, V74, P3143, DOI 10.1128/AEM.00191-08
Berman-Frank I, 2007, ENVIRON MICROBIOL, V9, P1415, DOI 10.1111/j.1462-2920.2007.01257.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Burke C, 2011, ISME J, V5, P590, DOI 10.1038/ismej.2010.164
Capone DG, 1997, SCIENCE, V276, P1221, DOI 10.1126/science.276.5316.1221
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Carpenter EJ, 2004, DEEP-SEA RES PT I, V51, P173, DOI 10.1016/j.dsr.2003.10.006
Carpenter EJ, 1997, DEEP-SEA RES PT I, V44, P27, DOI 10.1016/S0967-0637(96)00091-X
CHAO A, 1993, BIOMETRIKA, V80, P193, DOI 10.1093/biomet/80.1.193
CHAO A, 1987, BIOMETRICS, V43, P783, DOI 10.2307/2531532
CHISHOLM SW, 1988, NATURE, V334, P340, DOI 10.1038/334340a0
Cole JR, 2003, NUCLEIC ACIDS RES, V31, P442, DOI 10.1093/nar/gkg039
Dang HY, 2008, APPL ENVIRON MICROB, V74, P52, DOI 10.1128/AEM.01400-07
Dang HY, 2000, APPL ENVIRON MICROB, V66, P467, DOI 10.1128/AEM.66.2.467-475.2000
Davis CS, 2006, SCIENCE, V312, P1517, DOI 10.1126/science.1123570
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dyhrman ST, 2002, LIMNOL OCEANOGR, V47, P1832, DOI 10.4319/lo.2002.47.6.1832
Fisher MM, 1998, APPL ENVIRON MICROB, V64, P4384
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
HERBST V, 1978, NATURWISSENSCHAFTEN, V65, P598, DOI 10.1007/BF00364919
Hewson I, 2004, AQUAT MICROB ECOL, V36, P1, DOI 10.3354/ame036001
Hewson I, 2009, ISME J, V3, P1286, DOI 10.1038/ismej.2009.75
Hmelo LR, 2010, THESIS MIT WOODS HOL
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Hynes AM, 2009, LIMNOL OCEANOGR, V54, P1438, DOI 10.4319/lo.2009.54.5.1438
Karl D, 1997, NATURE, V388, P533, DOI 10.1038/41474
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Letelier RM, 1996, MAR ECOL PROG SER, V133, P263, DOI 10.3354/meps133263
Letelier RM, 1998, AQUAT MICROB ECOL, V15, P265, DOI 10.3354/ame015265
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Mayali X, 2008, APPL ENVIRON MICROB, V74, P2595, DOI 10.1128/AEM.02191-07
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Mohamed NM, 2008, APPL ENVIRON MICROB, V74, P1209, DOI 10.1128/AEM.02047-07
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nausch M, 1996, MAR ECOL PROG SER, V141, P173, DOI 10.3354/meps141173
Nicol GW, 2006, TRENDS MICROBIOL, V14, P207, DOI 10.1016/j.tim.2006.03.004
PAERL HW, 1985, SCIENCE, V227, P647, DOI 10.1126/science.227.4687.647
PAERL HW, 1988, SCIENCE, V241, P442, DOI 10.1126/science.241.4864.442
PAERL HW, 1989, J PHYCOL, V25, P773, DOI 10.1111/j.0022-3646.1989.00773.x
Paerl HW., 1982, The Biology of Cyanobacteria, P441
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
PIELOU EC, 1966, J THEOR BIOL, V13, P131, DOI 10.1016/0022-5193(66)90013-0
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Roe KL, 2012, ENVIRON MICROBIOL, V14, P1681, DOI 10.1111/j.1462-2920.2011.02653.x
SALE PF, 1976, NAT HIST, V85, P60
Sapp M, 2007, MICROB ECOL, V53, P683, DOI 10.1007/s00248-006-9162-5
Sheridan CC, 2002, J PLANKTON RES, V24, P913, DOI 10.1093/plankt/24.9.913
SIDDIQUI PJA, 1992, PHYCOLOGIA, V31, P326, DOI 10.2216/i0031-8884-31-3-4-326.1
Simmons TL, 2008, P NATL ACAD SCI USA, V105, P4587, DOI 10.1073/pnas.0709851105
Sohm JA, 2011, NAT REV MICROBIOL, V9, P499, DOI 10.1038/nrmicro2594
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
Stevenson BS, 2006, BIOL BULL-US, V210, P73, DOI 10.2307/4134596
Stihl A, 2001, J PHYCOL, V37, P310, DOI 10.1046/j.1529-8817.2001.037002310.x
Sunagawa S, 2009, ISME J, V3, P512, DOI 10.1038/ismej.2008.131
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Thompson JR, 2002, NUCLEIC ACIDS RES, V30, P2083, DOI 10.1093/nar/30.9.2083
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tuomainen J, 2006, MICROB ECOL, V52, P513, DOI 10.1007/s00248-006-9130-0
VILLAREAL TA, 1990, LIMNOL OCEANOGR, V35, P1832, DOI 10.4319/lo.1990.35.8.1832
Wagner-Döbler I, 2010, ISME J, V4, P61, DOI 10.1038/ismej.2009.94
WARD BB, 1985, MAR CHEM, V16, P301, DOI 10.1016/0304-4203(85)90052-0
Waterbury J. B., 1991, PROKARYOTES, P2058
Yu YN, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-57
NR 68
TC 59
Z9 64
PY 2012
VL 67
IS 1
BP 1
EP U119
DI 10.3354/ame01571
UT WOS:000308651800001
DA 2025-07-30
ER
PT J
AU Jain, A
Krishnan, KP
AF Jain, Anand
Krishnan, Kottekkatu P.
TI Differences in free-living and particle-associated bacterial communities
and their spatial variation in Kongsfjorden, Arctic
SO JOURNAL OF BASIC MICROBIOLOGY
DT Article
AB High throughput V3-16S rRNA amplicon sequencing data was used for evaluating differences between free-living (FL, <1.2-0.2m) and particle-associated (PA, >1.2m) bacterial communities, and their spatial variation between inner fjord (IF) and outer fjord (OF) of Kongsfjorden. A total of 4,454,142 high quality sequences obtained clustered into 32,058 OTUs. A majority of these sequences were affiliated with Proteobacteria (59.8%), followed by Bacteroidetes (29.02%), Firmicutes (5.9%), Actinobacteria (2.84%), Cyanobacteria (1.04%), and others (1.4%). The highest bacterial diversity was recorded in the inner fjord free-living (IF_FL) fraction whilst the lowest was observed in the outer fjord free-living (OF_FL) fraction. There was a clear spatial variation among FL bacterial communities, while PA communities remained similar at both sampling locations. The free-living bacterial community differs from particle-associated community and had relatively higher abundance (>4-fold) of Alteromonas and Pseudoalteromonas, while PA community was relatively more enriched with Balneatrix, Ulvibacter, Formosa, Candidatus Planktomarina, Sulfitobacter, Loktanella, members of SAR116, and Acidimicrobiales. In addition, two major bacterial taxa, Polaribacter and SAR11, co-occurred in both FL and PA fractions with varied proportions in IF and OF. These results suggest co-occurrence of PA specialist as well as generalist bacterial groups in Kongsfjorden. Further, high bacterial diversity in the IF_FL fraction indicates possible role of glacial inputs in modulating diversity of free-living bacterial community in Kongsfjorden.
C1 [Jain, Anand; Krishnan, Kottekkatu P.] Natl Ctr Antarctic & Ocean Res, Cryobiol Lab, Vasco Da Gama 403804, Goa, India.
RP Jain, A (corresponding author), Natl Ctr Antarctic & Ocean Res, Cryobiol Lab, Vasco Da Gama 403804, Goa, India.
EM microanand2003@gmail.com
CR ALLDREDGE AL, 1987, SCIENCE, V235, P689, DOI 10.1126/science.235.4789.689
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
[Anonymous], 2005, POL POLAR RES
[Anonymous], BIOGEOSCIENCES DISCU
Bowman JP, 2007, MAR DRUGS, V5, P220, DOI 10.3390/md504220
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cardman Z, 2014, APPL ENVIRON MICROB, V80, P3749, DOI 10.1128/AEM.00899-14
Carpenter JH, 1965, LIMNOL OCEANOGR, V10, P140, DOI DOI 10.4319/1O
CHO BC, 1988, NATURE, V332, P441, DOI 10.1038/332441a0
Choi DH, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116271
Clarke K. R., 2006, PRIMER V 6 USER MANU
Clarke KR, 2008, J EXP MAR BIOL ECOL, V366, P56, DOI 10.1016/j.jembe.2008.07.009
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Dang HY, 2000, APPL ENVIRON MICROB, V66, P467, DOI 10.1128/AEM.66.2.467-475.2000
De Corte D, 2014, AQUAT MICROB ECOL, V72, P215, DOI 10.3354/ame01696
Eloe EA, 2011, ENV MICROBIOL REP, V3, P449, DOI 10.1111/j.1758-2229.2010.00223.x
FAITH DP, 1992, BIOL CONSERV, V61, P1, DOI 10.1016/0006-3207(92)91201-3
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Garneau MÉ, 2009, J MARINE SYST, V75, P185, DOI 10.1016/j.jmarsys.2008.09.002
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gonzalez JM, 2009, PNAS, V105, P8724
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
Han D.H., 2014, Plos ONE, V9, P1
Hollibaugh JT, 2000, AQUAT MICROB ECOL, V21, P103, DOI 10.3354/ame021103
Holmström C, 1999, FEMS MICROBIOL ECOL, V30, P285, DOI 10.1111/j.1574-6941.1999.tb00656.x
Hop H, 2002, POLAR RES, V21, P167, DOI 10.3402/polar.v21i1.6480
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Jackson CR, 2014, APPL ENVIRON MICROB, V80, P7186, DOI 10.1128/AEM.01844-14
Kanukollu S, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiv145
Karrasch B, 2004, ACTA HYDROCH HYDROB, V31, P297, DOI 10.1002/aheh.200300505
Kellogg CTE, 2014, FEMS MICROBIOL ECOL, V89, P360, DOI 10.1111/1574-6941.12330
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Kulinski K, 2014, J MARINE SYST, V139, P27, DOI 10.1016/j.jmarsys.2014.04.018
Li Y, 2016, ACTA OCEANOL SIN, V35, P78, DOI 10.1007/s13131-015-0742-4
Mohit V, 2014, APPL ENVIRON MICROB, V80, P2071, DOI 10.1128/AEM.02916-13
Moisander PH, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0138967
Moller AK, 2013, POLAR RES, V32, DOI 10.3402/polar.v32i0.17390
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nikrad MP, 2014, ENVIRON MICROBIOL, V16, P1513, DOI 10.1111/1462-2920.12258
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Partensky F., 1999, MARINE CYANOBACTERIA, V19, P457, DOI DOI 10.1525/BIO.2011.61.10.3
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Piquet AMT, 2014, BIOGEOSCIENCES, V11, P2263, DOI 10.5194/bg-11-2263-2014
Piwosz K, 2009, POLAR BIOL, V32, P549, DOI 10.1007/s00300-008-0549-2
Rink B, 2007, AQUAT MICROB ECOL, V48, P47, DOI 10.3354/ame048047
Salat J, 1996, SCI MAR, V60, P21
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schauer M, 2005, APPL ENVIRON MICROB, V71, P1931, DOI 10.1128/AEM.71.4.1931-1940.2005
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Simon HM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00466
Slightom RN, 2009, APPL ENVIRON MICROB, V75, P6027, DOI 10.1128/AEM.01508-09
Steven B, 2007, FEMS MICROBIOL ECOL, V59, P513, DOI 10.1111/j.1574-6941.2006.00247.x
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Svendsen H, 2002, POLAR RES, V21, P133, DOI 10.1111/j.1751-8369.2002.tb00072.x
Tada Y, 2012, J OCEANOGR, V68, P509, DOI 10.1007/s10872-012-0114-z
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
van den Bogert B, 2013, FEMS MICROBIOL ECOL, V85, P376, DOI 10.1111/1574-6941.12127
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wells LE, 2003, AQUAT MICROB ECOL, V31, P19, DOI 10.3354/ame031019
Weslawski JM, 1998, J PLANKTON RES, V20, P1233
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Zeng YD, 2016, SCI REP-UK, V6, DOI 10.1038/srep29250
Zeng YX, 2013, ANTON LEEUW INT J G, V103, P1309, DOI 10.1007/s10482-013-9912-6
Zeng YX, 2009, POLAR BIOL, V32, P1447, DOI 10.1007/s00300-009-0641-2
NR 71
TC 34
Z9 35
PD OCT
PY 2017
VL 57
IS 10
BP 827
EP 838
DI 10.1002/jobm.201700216
UT WOS:000412552300003
DA 2025-07-30
ER
PT J
AU Zhang, WH
Yuan, WK
Chen, L
Ye, C
Jiang, Y
Yang, YY
AF Zhang, Weihong
Yuan, Wenke
Chen, Lu
Ye, Chen
Jiang, Ying
Yang, Yuyi
TI Uniqueness and Dependence of Bacterial Communities on Microplastics:
Comparison with Water, Sediment, and Soil
SO MICROBIAL ECOLOGY
DT Article
AB Revealing the dependence and uniqueness of microbial communities on microplastics could help us better understand the assembly of the microplastic microbial community in river ecosystems. In this study, we investigated the composition and ecological functions of the bacterial community on microplastics from the Three Gorges Reservoir area compared with those in water, sediment, and soil at species-level via full-length 16S rRNA gene sequencing. The results showed that the full-length 16S rRNA sequencing provided more detail and accurate taxa resolution of the bacterial community in microplastics (100%), water (99.90%), sediment (99.95%), and soil (100%). Betaproteobacteriales were the most abundant bacteria in microplastics (14.1%), water (32.3%), sediments (27.2%), and soil (21.0%). Unexpectedly, oligotrophic SAR11 clade was the third abundant bacteria (8.51%) and dominated the ecological functions of the bacterial community in water, but it was less observed on microplastics, with a relative abundance of 2.73x10(-5). However, four opportunistic pathogens identified at the species level were selectively enriched on microplastics. Stenotrophomonas maltophilia was the main opportunistic pathogen on microplastics (0.29%). Sediment rather than soil and water may be contributed mostly to pathogens on microplastics. Moreover, some bacteria species with the biodegradation function of microplastics were enriched on microplastics, such as bacteria Rhodobacter sp., and endemic bacteria Luteimonas sp. The distinct bacteria composition on microplastics enhanced several ecological functions, such as xenobiotics biodegradation, which allows screening the bacteria with the biodegradation function of microplastics through long-term exposure.
C1 [Zhang, Weihong; Yuan, Wenke; Chen, Lu; Ye, Chen; Jiang, Ying; Yang, Yuyi] Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Lumo Rd 1, Wuhan 430074, Peoples R China.
[Zhang, Weihong; Yuan, Wenke; Chen, Lu; Ye, Chen; Jiang, Ying; Yang, Yuyi] Chinese Acad Sci, Core Bot Gardens, Ctr Plant Ecol, Wuhan 430074, Peoples R China.
[Zhang, Weihong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
RP Yang, YY (corresponding author), Chinese Acad Sci, Wuhan Bot Garden, Key Lab Aquat Bot & Watershed Ecol, Lumo Rd 1, Wuhan 430074, Peoples R China.; Yang, YY (corresponding author), Chinese Acad Sci, Core Bot Gardens, Ctr Plant Ecol, Wuhan 430074, Peoples R China.
EM yangyy@wbgcas.cn
CR Barboza LGA, 2018, MAR POLLUT BULL, V133, P336, DOI 10.1016/j.marpolbul.2018.05.047
Arias-Andres M, 2018, SCI TOTAL ENVIRON, V635, P1152, DOI 10.1016/j.scitotenv.2018.04.199
Arias-Andres M, 2018, ENVIRON POLLUT, V237, P253, DOI 10.1016/j.envpol.2018.02.058
Auta HS, 2017, ENVIRON POLLUT, V231, P1552, DOI 10.1016/j.envpol.2017.09.043
Bao YH, 2015, EARTH-SCI REV, V150, P14, DOI 10.1016/j.earscirev.2015.07.005
Bokulich NA, 2013, NAT METHODS, V10, P57, DOI [10.1038/NMETH.2276, 10.1038/nmeth.2276]
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Burke CM, 2016, PEERJ, V4, DOI 10.7717/peerj.2492
Callahan BJ, 2019, NUCLEIC ACIDS RES, V47, DOI 10.1093/nar/gkz569
Di Bella JM, 2013, J MICROBIOL METH, V95, P401, DOI 10.1016/j.mimet.2013.08.011
Di MX, 2018, SCI TOTAL ENVIRON, V616, P1620, DOI 10.1016/j.scitotenv.2017.10.150
Earl JP, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0569-2
Eckert EM, 2018, ENVIRON POLLUT, V234, P495, DOI 10.1016/j.envpol.2017.11.070
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Frère L, 2018, ENVIRON POLLUT, V242, P614, DOI 10.1016/j.envpol.2018.07.023
Gao Y, 2021, WATER RES, V189, DOI 10.1016/j.watres.2020.116579
Gong MT, 2019, ENVIRON POLLUT, V252, P94, DOI 10.1016/j.envpol.2019.05.090
Harrison JP, 2014, BMC MICROBIOL, V14, DOI 10.1186/s12866-014-0232-4
Hwang J, 2019, SCI TOTAL ENVIRON, V684, P657, DOI 10.1016/j.scitotenv.2019.05.071
Jiang PL, 2018, SCI TOTAL ENVIRON, V624, P48, DOI 10.1016/j.scitotenv.2017.12.105
Jiao S, 2020, ISME J, V14, P202, DOI 10.1038/s41396-019-0522-9
Kesy K, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01665
Kirstein IV, 2018, MAR ENVIRON RES, V142, P147, DOI 10.1016/j.marenvres.2018.09.028
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Li JY, 2018, WATER RES, V137, P362, DOI 10.1016/j.watres.2017.12.056
Li XN, 2019, ENVIRON POLLUT, V255, DOI 10.1016/j.envpol.2019.113312
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Majed R, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01054
McCormick A, 2014, ENVIRON SCI TECHNOL, V48, P11863, DOI 10.1021/es503610r
McCormick AR, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1556
Miao LZ, 2019, SCI TOTAL ENVIRON, V650, P2395, DOI 10.1016/j.scitotenv.2018.09.378
Morlon H, 2008, ECOL LETT, V11, P904, DOI 10.1111/j.1461-0248.2008.01202.x
Numberger D, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-46015-z
Oberbeckmann S, 2018, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02709
Oberbeckmann S, 2015, ENVIRON CHEM, V12, P551, DOI 10.1071/EN15069
Peng GY, 2018, ENVIRON POLLUT, V234, P448, DOI 10.1016/j.envpol.2017.11.034
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Schloss PD, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000844
Shen MC, 2019, MAR POLLUT BULL, V139, P328, DOI 10.1016/j.marpolbul.2019.01.004
Urban M, 2020, NUCLEIC ACIDS RES, V48, pD613, DOI 10.1093/nar/gkz904
Wang M, 2019, PLANT SOIL, V437, P21, DOI 10.1007/s11104-019-03962-w
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wu N, 2020, SCI TOTAL ENVIRON, V708, DOI 10.1016/j.scitotenv.2019.134876
Wu XJ, 2019, WATER RES, V165, DOI 10.1016/j.watres.2019.114979
Yang L, 2013, J GEOPHYS RES-BIOGEO, V118, P471, DOI 10.1002/jgrg.20049
Yang YY, 2020, APPL MICROBIOL BIOT, V104, P6501, DOI 10.1007/s00253-020-10704-x
Yang YY, 2019, ENVIRON INT, V123, P79, DOI 10.1016/j.envint.2018.11.061
Yuan JH, 2020, SCI TOTAL ENVIRON, V715, DOI 10.1016/j.scitotenv.2020.136968
Yuchen Li, 2019, IOP Conference Series: Earth and Environmental Science, V304, DOI 10.1088/1755-1315/304/2/022025
Zettler ER, 2013, ENVIRON SCI TECHNOL, V47, P7137, DOI 10.1021/es401288x
Zhu K, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00718
Zinger L, 2014, MOL ECOL, V23, P954, DOI 10.1111/mec.12640
NR 53
TC 24
Z9 26
PD NOV
PY 2022
VL 84
IS 4
BP 985
EP 995
DI 10.1007/s00248-021-01919-0
EA NOV 2021
UT WOS:000717906600001
DA 2025-07-30
ER
PT J
AU Yang, CY
Li, Y
Zhou, YY
Zheng, W
Tian, Y
Zheng, TL
AF Yang, Caiyun
Li, Yi
Zhou, Yanyan
Zheng, Wei
Tian, Yun
Zheng, Tianling
TI Bacterial community dynamics during a bloom caused by Akashiwo
sanguinea in the Xiamen sea area, China
SO HARMFUL ALGAE
DT Article
AB Phytoplankton blooms are a worldwide ecological problem and one of the major algae that cause phytoplankton blooms is Akashiwo sanguinea. Though much research has addressed the abiotic causes (e.g. growth condition) of A. sanguinea blooms, few studies have examined the dynamics of microbial communities associated with these blooms. In this study, polymerase chain reaction (PCR)-based denaturing gradient gel electrophoresis (DGGE) analysis of 16S rDNA genes was used to document changes in the phylogenetic diversity of microbial communities associated with an A. sanguinea bloom that occurred in the Xiamen sea in May 2010. Surface sea water was sampled once a day within five consecutive days at four sites, and the microbial community composition was determined using DGGE. Sea water concentrations of chlorophyll a, nitrate and phosphate were also measured. The results indicated that the A. sanguinea bloom was probably stimulated by low salinity (26-30 parts per thousand) and ended probably because inorganic nutrients were consumed and resulted in a N/P ratio unfavorable for this alga. Gammaproteobacteria populations increased significantly during bloom declines and then decreased post-bloom. Divergences in the microbial community composition during different bloom periods were the result of changes in Candidatus, Pelagibacter, Alteromonas, Rhodobacteraceae, Vibrio and Pseudoalteromonas populations. Sediminimonas qiaohouensis was the first bacterium shown to be significantly negatively correlated with A. sanguinea concentration. This study indicated that bacteria may play an important role in A. sanguinea-bloom regulation and provides a deeper insight into bacterial community succession during and after an A. sanguinea-bloom. (C) 2012 Elsevier B.V. All rights reserved.
C1 [Tian, Yun] Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
Xiamen Univ, Key Lab, Minist Educ Coastal & Wetland Ecosyst, Sch Life Sci, Xiamen 361005, Peoples R China.
RP Tian, Y (corresponding author), Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China.
EM tianyun@xmu.edu.cn; wshwzh@xmu.edu.cn
CR Anderson DM, 2002, ESTUARIES, V25, P704, DOI 10.1007/BF02804901
Cai WW, 2011, APPL ENVIRON MICROB, V77, P7837, DOI 10.1128/AEM.05783-11
Cook PA, 2010, J SHELLFISH RES, V29, P569, DOI 10.2983/035.029.0303
Dai X, 2006, INT J SYST EVOL MICR, V56, P529, DOI 10.1099/ijs.0.64013-0
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
El Alaoui S, 2001, APPL ENVIRON MICROB, V67, P2202, DOI 10.1128/AEM.67.5.2202-2207.2001
ENGER O, 1987, INT J SYST BACTERIOL, V37, P416, DOI 10.1099/00207713-37-4-416
Green DH, 2004, FEMS MICROBIOL ECOL, V47, P345, DOI 10.1016/S0168-6496(03)00298-8
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Gunderson JH, 2001, J EUKARYOT MICROBIOL, V48, P670, DOI 10.1111/j.1550-7408.2001.tb00207.x
Heisler J, 2008, HARMFUL ALGAE, V8, P3, DOI 10.1016/j.hal.2008.08.006
Irigoien X, 2000, J PLANKTON RES, V22, P2367, DOI 10.1093/plankt/22.12.2367
JARDIM WF, 1989, WATER RES, V23, P1069, DOI 10.1016/0043-1354(89)90182-6
Jessup DA, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004550
Johansson M, 2002, AQUAT MICROB ECOL, V28, P69, DOI 10.3354/ame028069
Kim JD, 2009, MAR BIOTECHNOL, V11, P463, DOI 10.1007/s10126-008-9167-9
Kim MC, 1998, MAR ECOL PROG SER, V170, P25, DOI 10.3354/meps170025
Kremling K., 1983, Methods of Seawater Analysis, V2nd
LACK T J, 1971, Freshwater Biology, V1, P213, DOI 10.1111/j.1365-2427.1971.tb01558.x
Lovejoy C, 1998, APPL ENVIRON MICROB, V64, P2806
Matsubara T, 2007, J EXP MAR BIOL ECOL, V342, P226, DOI 10.1016/j.jembe.2006.09.013
Mayali X, 2004, J EUKARYOT MICROBIOL, V51, P139, DOI 10.1111/j.1550-7408.2004.tb00538.x
Muyzer G, 1998, ANTON LEEUW INT J G, V73, P127, DOI 10.1023/A:1000669317571
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
OLSON RJ, 1990, DEEP-SEA RES, V37, P1033, DOI 10.1016/0198-0149(90)90109-9
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
QASIM SZ, 1972, MAR BIOL, V12, P200, DOI 10.1007/BF00346767
RIEMANN B, 1987, LIMNOL OCEANOGR, V32, P471, DOI 10.4319/lo.1987.32.2.0471
Riemann L, 1999, DEEP-SEA RES PT II, V46, P1791, DOI 10.1016/S0967-0645(99)00044-2
Romanenko LA, 2003, INT J SYST EVOL MICR, V53, P125, DOI 10.1099/ijs.0.02234-0
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Shannon C. E., 1963, MATH THEORY COMMUNIC
Su JQ, 2011, BIOL CONTROL, V56, P132, DOI 10.1016/j.biocontrol.2010.10.004
Su RQ, 2007, HARMFUL ALGAE, V6, P799, DOI 10.1016/j.hal.2007.04.004
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Wang BX, 2010, LETT APPL MICROBIOL, V51, P552, DOI 10.1111/j.1472-765X.2010.02936.x
Wang BX, 2012, HARMFUL ALGAE, V13, P83, DOI 10.1016/j.hal.2011.10.006
Wang X, 2010, BIOL CONTROL, V52, P123, DOI 10.1016/j.biocontrol.2009.10.004
Wichels A, 2004, HELGOLAND MAR RES, V58, P93, DOI 10.1007/s10152-004-0174-6
YENTSCH CS, 1963, DEEP-SEA RES, V10, P221, DOI 10.1016/0011-7471(63)90358-9
Yoshinaga I, 1998, MAR ECOL PROG SER, V170, P33, DOI 10.3354/meps170033
NR 44
TC 72
Z9 79
PD DEC
PY 2012
VL 20
BP 132
EP 141
DI 10.1016/j.hal.2012.09.002
UT WOS:000312978900014
DA 2025-07-30
ER
PT J
AU Morris, JJ
Lenski, RE
Zinser, ER
AF Morris, J. Jeffrey
Lenski, Richard E.
Zinser, Erik R.
TI The Black Queen Hypothesis: Evolution of Dependencies through Adaptive
Gene Loss
SO MBIO
DT Article
AB Reductive genomic evolution, driven by genetic drift, is common in endosymbiotic bacteria. Genome reduction is less common in free-living organisms, but it has occurred in the numerically dominant open-ocean bacterioplankton Prochlorococcus and "Candidatus Pelagibacter," and in these cases the reduction appears to be driven by natural selection rather than drift. Gene loss in free-living organisms may leave them dependent on cooccurring microbes for lost metabolic functions. We present the Black Queen Hypothesis (BQH), a novel theory of reductive evolution that explains how selection leads to such dependencies; its name refers to the queen of spades in the game Hearts, where the usual strategy is to avoid taking this card. Gene loss can provide a selective advantage by conserving an organism's limiting resources, provided the gene's function is dispensable. Many vital genetic functions are leaky, thereby unavoidably producing public goods that are available to the entire community. Such leaky functions are thus dispensable for individuals, provided they are not lost entirely from the community. The BQH predicts that the loss of a costly, leaky function is selectively favored at the individual level and will proceed until the production of public goods is just sufficient to support the equilibrium community; at that point, the benefit of any further loss would be offset by the cost. Evolution in accordance with the BQH thus generates "beneficiaries" of reduced genomic content that are dependent on leaky "helpers," and it may explain the observed nonuniversality of prototrophy, stress resistance, and other cellular functions in the microbial world.
C1 [Morris, J. Jeffrey; Lenski, Richard E.] Michigan State Univ, E Lansing, MI 48824 USA.
[Morris, J. Jeffrey; Lenski, Richard E.] BEACON Ctr Study Evolut Act, E Lansing, MI USA.
[Zinser, Erik R.] Univ Tennessee, Knoxville, TN USA.
RP Morris, JJ (corresponding author), Michigan State Univ, E Lansing, MI 48824 USA.
EM jmorris@msu.edu
CR Andrews SC, 2003, FEMS MICROBIOL REV, V27, P215, DOI 10.1016/S0168-6445(03)00055-X
[Anonymous], 1996, Full House. The spread of excellence from Plato to Darwin
Behrenfeld MJ, 1996, NATURE, V383, P508, DOI 10.1038/383508a0
Biggs BJF, 1998, J PHYCOL, V34, P598, DOI 10.1046/j.1529-8817.1998.340598.x
Callanan M, 2008, J BACTERIOL, V190, P727, DOI 10.1128/JB.01295-07
Carroll Lewis, 1872, Through the Looking Glass
Cavalier-Smith T, 2005, ANN BOT-LONDON, V95, P147, DOI 10.1093/aob/mci010
CHAO L, 1981, P NATL ACAD SCI-BIOL, V78, P6324, DOI 10.1073/pnas.78.10.6324
Church MJ, 2005, AQUAT MICROB ECOL, V38, P3, DOI 10.3354/ame038003
Church MJ, 2010, MICROBIAL ECOLOGY OC, P335
Cooper VS, 2001, J BACTERIOL, V183, P2834, DOI 10.1128/JB.183.9.2834-2841.2001
COOPER WJ, 1988, ENVIRON SCI TECHNOL, V22, P1156, DOI 10.1021/es00175a004
D'Onofrio A, 2010, CHEM BIOL, V17, P254, DOI 10.1016/j.chembiol.2010.02.010
van de Guchte M, 2006, P NATL ACAD SCI USA, V103, P9274, DOI 10.1073/pnas.0603024103
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Ehrenreich IM, 2005, APPL ENVIRON MICROB, V71, P7401, DOI 10.1128/AEM.71.11.7401-7413.2005
Fierer N, 2007, ECOLOGY, V88, P1354, DOI 10.1890/05-1839
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gregory TR, 2001, BIOL REV, V76, P65, DOI 10.1017/S1464793100005595
GROENE T, 1995, J MARINE SYST, V6, P191, DOI 10.1016/0924-7963(94)00023-5
HUTCHINSON G, 1961, AM NAT, V95, P137, DOI 10.1086/282171
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Klotz MG, 2003, MOL BIOL EVOL, V20, P1098, DOI 10.1093/molbev/msg129
Kuo CH, 2009, GENOME RES, V19, P1450, DOI 10.1101/gr.091785.109
LENSKI RE, 1991, AM NAT, V138, P1315, DOI 10.1086/285289
LENSKI RE, 1986, J THEOR BIOL, V122, P83, DOI 10.1016/S0022-5193(86)80226-0
Lubarsky HV, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013794
Lynch M, 2006, ANNU REV MICROBIOL, V60, P327, DOI 10.1146/annurev.micro.60.080805.142300
Moran NA, 2009, SCIENCE, V323, P379, DOI 10.1126/science.1167140
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mumby PJ, 2006, ECOL MODEL, V196, P131, DOI 10.1016/j.ecolmodel.2005.11.035
Nadell CD, 2009, FEMS MICROBIOL REV, V33, P206, DOI 10.1111/j.1574-6976.2008.00150.x
Nadell CD, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000716
Nilsson AI, 2005, P NATL ACAD SCI USA, V102, P12112, DOI 10.1073/pnas.0503654102
O'Dowd DJ, 2003, ECOL LETT, V6, P812, DOI 10.1046/j.1461-0248.2003.00512.x
PAERL HW, 1989, J PHYCOL, V25, P773, DOI 10.1111/j.0022-3646.1989.00773.x
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Passardi F, 2007, GENE, V397, P101, DOI 10.1016/j.gene.2007.04.016
Pechenik J.A., 2005, Biology of the Invertebrates, VFifth
Perelman A, 2003, J BACTERIOL, V185, P3654, DOI 10.1128/JB.185.12.3654-3660.2003
Petasne RG, 1997, MAR CHEM, V56, P215, DOI 10.1016/S0304-4203(96)00072-2
PIANKA ER, 1970, AM NAT, V104, P592, DOI 10.1086/282697
Raymond J, 2004, MOL BIOL EVOL, V21, P541, DOI 10.1093/molbev/msh047
Roeselers G, 2007, MICROB ECOL, V54, P578, DOI 10.1007/s00248-007-9238-x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Seaver LC, 2001, J BACTERIOL, V183, P7182, DOI 10.1128/JB.183.24.7182-7189.2001
Tichy M, 1999, J BACTERIOL, V181, P1875, DOI 10.1128/JB.181.6.1875-1882.1999
TRICK CG, 1989, CURR MICROBIOL, V18, P375, DOI 10.1007/BF01571131
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Van Valen Leigh, 1973, Evolutionary Theory, V1, P1, DOI DOI 10.4337/9781785361302.00005
Velicer GJ, 2000, NATURE, V404, P598, DOI 10.1038/35007066
VITOUSEK PM, 1991, BIOGEOCHEMISTRY, V13, P87
West SA, 2006, NAT REV MICROBIOL, V4, P597, DOI 10.1038/nrmicro1461
NR 56
TC 820
Z9 926
PD MAR-APR
PY 2012
VL 3
IS 2
AR e00036-12
DI 10.1128/mBio.00036-12
UT WOS:000305297100008
DA 2025-07-30
ER
PT J
AU Jaiani, E
Kusradze, I
Kokashvili, T
Geliashvili, N
Janelidze, N
Kotorashvili, A
Kotaria, N
Guchmanidze, A
Tediashvili, M
Prangishvili, D
AF Jaiani, Ekaterine
Kusradze, Ia
Kokashvili, Tamar
Geliashvili, Natia
Janelidze, Nino
Kotorashvili, Adam
Kotaria, Nato
Guchmanidze, Archil
Tediashvili, Marina
Prangishvili, David
TI Microbial Diversity and Phage-Host Interactions in the Georgian Coastal
Area of the Black Sea Revealed by Whole Genome Metagenomic Sequencing
SO MARINE DRUGS
DT Article
AB Viruses have the greatest abundance and highest genetic diversity in marine ecosystems. The interactions between viruses and their hosts is one of the hot spots of marine ecology. Besides their important role in various ecosystems, viruses, especially bacteriophages and their gene pool, are of enormous interest for the development of new gene products with high innovation value. Various studies have been conducted in diverse ecosystems to understand microbial diversity and phage-host interactions; however, the Black Sea, especially the Eastern coastal area, remains among the least studied ecosystems in this regard. This study was aimed at to fill this gap by analyzing microbial diversity and bacteriophage-host interactions in the waters of Eastern Black Sea using a metagenomic approach. To this end, prokaryotic and viral metagenomic DNA from two sampling sites, Poti and Gonio, were sequenced on the Illumina Miseq platform and taxonomic and functional profiles of the metagenomes were obtained using various bioinformatics tools. Our metagenomics analyses allowed us to identify the microbial communities, with Proteobacteria, Cyanobacteria, Actinibacteria, and Firmicutes found to be the most dominant bacterial phyla and Synechococcus and Candidatus Pelagibacter phages found to be the most dominant viral groups in the Black Sea. As minor groups, putative phages specific to human pathogens were identified in the metagenomes. We also characterized interactions between the phages and prokaryotic communities by determining clustered regularly interspaced short palindromic repeats (CRISPR), prophage-like sequences, and integrase/excisionase sequences in the metagenomes, along with identification of putative horizontally transferred genes in the viral contigs. In addition, in the viral contig sequences related to peptidoglycan lytic activity were identified as well. This is the first study on phage and prokaryote diversity and their interactions in the Eastern coastal area of the Black Sea using a metagenomic approach.
C1 [Jaiani, Ekaterine; Kusradze, Ia; Kokashvili, Tamar; Geliashvili, Natia; Janelidze, Nino; Tediashvili, Marina] G Eliava Inst Bacteriophages Microbiol & Virol, Tbilisi 0160, Georgia.
[Kotorashvili, Adam; Kotaria, Nato] Natl Ctr Dis Control & Publ Hlth, Richard Lugar Ctr Publ Hlth Res, Tbilisi 0198, Georgia.
[Guchmanidze, Archil] Assoc Flora & Fauna, Batumi 6010, Georgia.
[Prangishvili, David] Pasteur Inst, F-75015 Paris, France.
[Prangishvili, David] Iv Javakhishvili Tbilisi State Univ, Fac Med, Tbilisi 0179, Georgia.
RP Jaiani, E (corresponding author), G Eliava Inst Bacteriophages Microbiol & Virol, Tbilisi 0160, Georgia.
EM e.jaiani@pha.ge; iakusradze@pha.ge; t.kokashvili@pha.ge;
nageli2014@agruni.edu.ge; n.janelidze@pha.ge; A.kotorashvili@ncdc.ge;
n.kotaria@ncdc.ge; guchmanidze@gmail.com; m.tediashvili@pha.ge;
david.prangishvili@pasteur.fr
CR Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
Antunes A, 2015, GENOM PROTEOM BIOINF, V13, P304, DOI 10.1016/j.gpb.2015.06.004
Arndt D, 2016, NUCLEIC ACIDS RES, V44, pW16, DOI 10.1093/nar/gkw387
Barrangou R, 2007, SCIENCE, V315, P1709, DOI 10.1126/science.1138140
Bentley SD, 2002, NATURE, V417, P141, DOI 10.1038/417141a
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Blondal T, 2003, NUCLEIC ACIDS RES, V31, P7247, DOI 10.1093/nar/gkg914
Bobrova O, 2016, ACTA BIOCHIM POL, V63, P315, DOI 10.18388/abp.2015_1145
Bowman JS, 2017, ISME J, V11, P1460, DOI 10.1038/ismej.2016.204
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chanishvili N, 2016, CURR DRUG DELIV, V13, P309, DOI 10.2174/156720181303160520193946
Chen IMA, 2019, NUCLEIC ACIDS RES, V47, pD666, DOI 10.1093/nar/gky901
Chiang KP, 2002, CONT SHELF RES, V22, P3, DOI 10.1016/S0278-4343(01)00067-X
Dang HY, 2008, APPL ENVIRON MICROB, V74, P52, DOI 10.1128/AEM.01400-07
Affe HMD, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01393
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
Doughari HJ, 2011, MICROBES ENVIRON, V26, P101, DOI 10.1264/jsme2.ME10179
Drulis-Kawa Z, 2015, CURR MED CHEM, V22, P1757, DOI 10.2174/0929867322666150209152851
Duhaime MB, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.01697-15
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Gallego V, 2005, INT J SYST EVOL MICR, V55, P281, DOI 10.1099/ijs.0.63319-0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Harada LK, 2018, MICROBIOL RES, V212, P38, DOI 10.1016/j.micres.2018.04.007
Hashish E, 2018, VET QUART, V38, P35, DOI 10.1080/01652176.2018.1447171
Ibrahimi M, 2020, ANTIBIOTICS-BASEL, V9, DOI 10.3390/antibiotics9020091
Janelidze N, 2011, MAR POLLUT BULL, V62, P573, DOI 10.1016/j.marpolbul.2010.11.027
Jasna V, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-34332-8
Jiang SC, 1998, APPL ENVIRON MICROB, V64, P2780
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Knowles B, 2016, NATURE, V539, P123, DOI 10.1038/nature19335
Koonin EV, 2001, ANNU REV MICROBIOL, V55, P709, DOI 10.1146/annurev.micro.55.1.709
Kubryakov AA, 2019, J MARINE SYST, V199, DOI 10.1016/j.jmarsys.2019.103220
Kudo T, 2018, GENE, V665, P174, DOI 10.1016/j.gene.2018.04.072
Lee JW, 2008, J MICROBIOL, V46, P174, DOI 10.1007/s12275-008-0032-3
Li PE, 2017, NUCLEIC ACIDS RES, V45, P67, DOI 10.1093/nar/gkw1027
Makeyev EV, 2004, VIRUS RES, V101, P45, DOI 10.1016/j.virusres.2003.12.005
Mann NH, 2005, J BACTERIOL, V187, P3188, DOI 10.1128/JB.187.9.3188-3200.2005
Math RK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035784
McDaniel L, 2002, NATURE, V415, P496, DOI 10.1038/415496a
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Middelboe M, 2017, VIRUSES-BASEL, V9, DOI 10.3390/v9100302
Mojica FJM, 2005, J MOL EVOL, V60, P174, DOI 10.1007/s00239-004-0046-3
Nair AV, 2015, BRAZ J MICROBIOL, V46, P725, DOI 10.1590/S1517-838246320140502
Ortmann AC, 2002, MICROB ECOL, V43, P225, DOI 10.1007/s00248-001-1058-9
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Pausch P, 2020, SCIENCE, V369, P333, DOI 10.1126/science.abb1400
Pleska M, 2018, NAT ECOL EVOL, V2, P359, DOI 10.1038/s41559-017-0424-z
Rodríguez-Rubio L, 2013, CRIT REV MICROBIOL, V39, P427, DOI 10.3109/1040841X.2012.723675
Rohwer F, 2009, ENVIRON MICROBIOL, V11, P2771, DOI 10.1111/j.1462-2920.2009.02101.x
Sano E, 2004, APPL ENVIRON MICROB, V70, P5842, DOI 10.1128/AEM.70.10.5842-5846.2004
Seed KD, 2013, NATURE, V494, P489, DOI 10.1038/nature11927
Sohm JA, 2016, ISME J, V10, P333, DOI 10.1038/ismej.2015.115
Stewart K., 2006, BLACK SEA FLOOD QUES, P1
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tseng CH, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1434-3
van den Born E, 2008, NUCLEIC ACIDS RES, V36, P5451, DOI 10.1093/nar/gkn519
Weigele PR, 2007, ENVIRON MICROBIOL, V9, P1675, DOI 10.1111/j.1462-2920.2007.01285.x
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Winter C, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100600
Wood DE, 2014, GENOME BIOL, V15, DOI 10.1186/gb-2014-15-3-r46
Yamaguchi H, 2004, J BIOSCI BIOENG, V98, P174, DOI 10.1263/jbb.98.174
Yoon JH, 2007, J MICROBIOL BIOTECHN, V17, P1743
Yosef I, 2015, P NATL ACAD SCI USA, V112, P7267, DOI 10.1073/pnas.1500107112
Zaitsev Y.P., BLACK SEA OXYGEN POO
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 67
TC 11
Z9 12
PD NOV
PY 2020
VL 18
IS 11
AR 558
DI 10.3390/md18110558
UT WOS:000594009800001
DA 2025-07-30
ER
PT J
AU Liu, SG
Luo, YR
Huang, LF
AF Liu, SiGuang
Luo, YuanRong
Huang, LingFeng
TI Dynamics of size-fractionated bacterial communities during the coastal
dispersal of treated municipal effluents
SO APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
DT Article
AB Everyday huge amount of treated municipal wastewater is discharged into the coastal seawater. However, microbial biomarkers for the municipal effluent instead of the fecal species from raw sewage have not been proposed. Meanwhile, bacterial taxa for degrading large amounts of input organics have not been fully understood. In this study, raw effluent and serial water samples were collected from the coastal dispersal of two sewage treatment plants in Xiamen, China. Free-living (FL) and particle-associated (PA) bacterial communities were analyzed via high-throughput sequencing of 16S rRNA gene and quantitative PCR to measure bacterial abundance. The PA bacterial communities in our samples exhibited higher cell abundance, alpha diversity, and population dynamics than the FL bacterial communities, which supports greater environmental significance of the PA bacterial communities. Two non-fecal but typical genera in activated sludge, Zoogloea and Dechloromonas, exhibited decreased but readily detectable abundance along the effluent dispersal distance. Furthermore, the dominating microbial species near the outfalls were related to well-known marine indigenous taxa, such as SAR11 clade, OM60 clade, low-GC Actinobacteria, and unclassified Flavobacteriales, as well as the less understood taxa like Pseudohongiella and Microbacteriaceae. It is interesting that these taxa exhibited two types of correlation patterns with COD concentration. Our study suggested Zoogloea as a potential indicator of municipal effluents and also proposed potential utilizers of residual effluent COD in marine environments.
C1 [Liu, SiGuang; Luo, YuanRong; Huang, LingFeng] Xiamen Univ, Fujian Prov Key Lab Coastal Ecol & Environm Studi, Xiamen 361005, Peoples R China.
[Liu, SiGuang; Luo, YuanRong; Huang, LingFeng] Fujian Inst Oceanog, Xiamen 361005, Peoples R China.
[Luo, YuanRong; Huang, LingFeng] Xiamen Univ, Key Lab, Coll Environm & Ecol, Minist Educ Coastal & Wetland Ecosyst, Xiamen 361005, Peoples R China.
[Liu, SiGuang] Fujian Inst Oceanog, Lab Marine Chem, Xiamen 361000, Peoples R China.
RP Luo, YR (corresponding author), Xiamen Univ, Fujian Prov Key Lab Coastal Ecol & Environm Studi, Xiamen 361005, Peoples R China.; Luo, YR (corresponding author), Fujian Inst Oceanog, Xiamen 361005, Peoples R China.; Luo, YR (corresponding author), Xiamen Univ, Key Lab, Coll Environm & Ecol, Minist Educ Coastal & Wetland Ecosyst, Xiamen 361005, Peoples R China.
EM lyr@xmu.edu.cn
CR Al-Bahry SN, 2009, CHEMOSPHERE, V77, P1534, DOI 10.1016/j.chemosphere.2009.09.052
Anderson ML, 2005, APPL ENVIRON MICROB, V71, P3041, DOI 10.1128/AEM.71.6.3041-3048.2005
Cai L, 2014, APPL MICROBIOL BIOT, V98, P3317, DOI 10.1007/s00253-013-5402-z
Chandler DP, 1998, J IND MICROBIOL BIOT, V21, P128, DOI 10.1038/sj.jim.2900546
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Crump BC, 1998, AQUAT MICROB ECOL, V14, P7, DOI 10.3354/ame014007
D'Ambrosio L, 2014, ISME J, V8, P2167, DOI 10.1038/ismej.2014.67
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DIAS FF, 1964, APPL MICROBIOL, V12, P412, DOI 10.1128/AEM.12.5.412-417.1964
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Gan HM, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-431
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Guo FD, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0076185, 10.1371/journal.pone.0071714]
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P112, DOI 10.1099/ijs.0.001743-0
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hollibaugh JT, 2000, AQUAT MICROB ECOL, V21, P103, DOI 10.3354/ame021103
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Michotey V, 2012, MAR POLLUT BULL, V65, P525, DOI 10.1016/j.marpolbul.2012.01.009
Mohit V, 2014, APPL ENVIRON MICROB, V80, P2071, DOI 10.1128/AEM.02916-13
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Parveen B, 2011, FEMS MICROBIOL ECOL, V77, P461, DOI 10.1111/j.1574-6941.2011.01130.x
Richardot M, 1999, AQUAT SCI, V61, P279, DOI 10.1007/s000270050066
Riemann L, 2001, MICROB ECOL, V42, P274, DOI 10.1007/s00248-001-0018-8
Rippy MA, 2013, MAR POLLUT BULL, V66, P151, DOI 10.1016/j.marpolbul.2012.09.030
Rizzo L, 2013, SCI TOTAL ENVIRON, V447, P345, DOI 10.1016/j.scitotenv.2013.01.032
Rösel S, 2012, AQUAT MICROB ECOL, V66, P169, DOI 10.3354/ame01568
ROSSELLOMORA RA, 1995, APPL ENVIRON MICROB, V61, P702
Sánchez O, 2007, APPL ENVIRON MICROB, V73, P5962, DOI 10.1128/AEM.00817-07
Sassoubre LM, 2015, APPL ENVIRON MICROB, V81, P2107, DOI 10.1128/AEM.03950-14
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shanks OC, 2013, APPL ENVIRON MICROB, V79, P2906, DOI 10.1128/AEM.03448-12
SIMON M, 1987, LIMNOL OCEANOGR, V32, P591, DOI 10.4319/lo.1987.32.3.0591
Stewart JR, 2008, ENVIRON HEALTH-GLOB, V7, DOI 10.1186/1476-069X-7-S2-S3
Tam NFY, 1998, ENVIRON POLLUT, V102, P233, DOI 10.1016/S0269-7491(98)00084-0
UNANUE M, 1992, MICROB ECOL, V23, P27, DOI 10.1007/BF00165905
Vitousek PM, 1997, SCIENCE, V277, P494, DOI 10.1126/science.277.5325.494
Wakelin SA, 2008, APPL ENVIRON MICROB, V74, P2659, DOI 10.1128/AEM.02348-07
Wang GH, 2013, ANTON LEEUW INT J G, V104, P933, DOI 10.1007/s10482-013-0012-4
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wéry N, 2010, WATER RES, V44, P1873, DOI 10.1016/j.watres.2009.11.027
Xu HL, 2014, SCI TOTAL ENVIRON, V470, P511, DOI 10.1016/j.scitotenv.2013.10.025
Yamahara KM, 2012, APPL ENVIRON MICROB, V78, P1733, DOI 10.1128/AEM.06185-11
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Zhang R, 2007, FEMS MICROBIOL ECOL, V61, P496, DOI 10.1111/j.1574-6941.2007.00353.x
Zhang T, 2012, ISME J, V6, P1137, DOI 10.1038/ismej.2011.188
NR 50
TC 12
Z9 13
PD JUL
PY 2016
VL 100
IS 13
BP 5839
EP 5848
DI 10.1007/s00253-016-7408-9
UT WOS:000378725700015
DA 2025-07-30
ER
PT J
AU Howard, EC
Sun, SL
Biers, EJ
Moran, MA
AF Howard, Erinn C.
Sun, Shulei
Biers, Erin J.
Moran, Mary Ann
TI Abundant and diverse bacteria involved in DMSP degradation in marine
surface waters
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB An expanded analysis of oceanic metagenomic data indicates that the majority of prokaryotic cells in marine surface waters have the genetic capability to demethylate dimethylsulfoniopropionate (DMSP). The 1701 homologues of the DMSP demethylase gene, dmdA, identified in the (2007) Global Ocean Sampling (GOS) metagenome, are sufficient for 58% (+/- 9%) of sampled cells to participate in this critical step in the marine sulfur cycle. This remarkable frequency of DMSP-demethylating cells is in accordance with biogeochemical data indicating that marine phytoplankton direct up to 10% of fixed carbon to DMSP synthesis, and that most of this DMSP is subsequently degraded by bacteria via demethylation. The GOS metagenomic data also revealed a new cluster of dmdA sequences (designated Clade E) that implicates marine gammaproteobacteria in DMSP demethylation, along with previously recognized alphaproteobacterial groups Roseobacter and SAR11. Analyses of G+C content and gene order indicate that lateral gene transfer is likely responsible for the wide distribution of dmdA among diverse taxa, contributing to the homogenization of biogeochemical roles among heterotrophic marine bacterioplankton. Candidate genes for the competing bacterial degradation process that converts DMSP to the climate-active gas dimethylsulfide (DMS) (dddD and dddL) occur infrequently in the (2007) GOS metagenome, suggesting either that the key DMS-producing bacterial genes are yet to be identified or that DMS formation by free-living bacterioplankton is insignificant relative to their demethylation activity.
C1 [Sun, Shulei; Biers, Erin J.; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Howard, Erinn C.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR ANDREAE MO, 1983, SCIENCE, V221, P744, DOI 10.1126/science.221.4612.744
ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
Biers EJ, 2008, APPL ENVIRON MICROB, V74, P2933, DOI 10.1128/AEM.02129-07
Bürgmann H, 2007, ENVIRON MICROBIOL, V9, P2742, DOI 10.1111/j.1462-2920.2007.01386.x
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cottrell MT, 2005, APPL ENVIRON MICROB, V71, P8506, DOI 10.1128/AEM.71.12.8506-8513.2005
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Dandekar T, 1998, TRENDS BIOCHEM SCI, V23, P324, DOI 10.1016/S0968-0004(98)01274-2
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
*GORD BETT MOOR FD, 2007, MICR GEN SEQ PROJ
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Jain R, 2002, THEOR POPUL BIOL, V61, P489, DOI 10.1006/tpbi.2002.1596
Kalyuzhnaya MG, 2005, ENVIRON MICROBIOL, V7, P1909, DOI 10.1111/j.1462-2920.2005.00798.x
Karlin S, 2001, TRENDS MICROBIOL, V9, P335, DOI 10.1016/S0966-842X(01)02079-0
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 1996, MAR CHEM, V54, P69, DOI 10.1016/0304-4203(96)00006-0
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Lau WWY, 2006, ENVIRON MICROBIOL, V8, P1688, DOI 10.1111/j.1462-2920.2006.01092.x
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Majumdar S, 1999, BIOCHEM BIOPH RES CO, V266, P66, DOI 10.1006/bbrc.1999.1774
Malin G, 1997, J PHYCOL, V33, P889, DOI 10.1111/j.0022-3646.1997.00889.x
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Nelson KE, 1999, NATURE, V399, P323, DOI 10.1038/20601
Ochman H, 2000, NATURE, V405, P299, DOI 10.1038/35012500
Overbeek R, 1999, P NATL ACAD SCI USA, V96, P2896, DOI 10.1073/pnas.96.6.2896
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Slezak D, 2007, AQUAT SCI, V69, P377, DOI 10.1007/s00027-007-0896-z
Sullivan MB, 2006, PLOS BIOL, V4, P1344, DOI 10.1371/journal.pbio.0040234
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
VAIRAVAMURTHY A, 1985, LIMNOL OCEANOGR, V30, P59, DOI 10.4319/lo.1985.30.1.0059
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vila-Costa M, 2008, LIMNOL OCEANOGR, V53, P198, DOI 10.4319/lo.2008.53.1.0198
Viola RE, 2001, ACCOUNTS CHEM RES, V34, P339, DOI 10.1021/ar000057q
VISSCHER PT, 1992, MAR ECOL PROG SER, V89, P293, DOI 10.3354/meps089293
Wolfe GV, 1997, NATURE, V387, P894, DOI 10.1038/43168
Yutin N, 2007, ENVIRON MICROBIOL, V9, P1464, DOI 10.1111/j.1462-2920.2007.01265.x
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 48
TC 134
Z9 160
PD SEP
PY 2008
VL 10
IS 9
BP 2397
EP 2410
DI 10.1111/j.1462-2920.2008.01665.x
UT WOS:000258203500018
DA 2025-07-30
ER
PT J
AU Hahn, MW
AF Hahn, MW
TI Isolation of strains belonging to the cosmopolitan Polynucleobacter
necessarius cluster from freshwater habitats located in three
climatic zones
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB More than 40 bacterial strains belonging to the cosmopolitan Polynucleobacter necessarius cluster (Betaproteobacteria) were isolated from a broad spectrum of freshwater habitats located in three climatic zones. Sequences affiliated with the freshwater P. necessarius cluster are among the most frequently detected in studies on bacterial diversity in freshwater ecosystems. Despite this frequent detection with culture-independent techniques and the cosmopolitan occurrence of members affiliated with this cluster, no isolates have been reported thus far. The isolated strains have been obtained from lakes, ponds, and rivers in central Europe, the People's Republic of China, and East Africa by use of the filtration-acclimatization method. The 16S rRNA gene sequences of the isolates are 98.8 to 100% identical to reference sequences obtained by various authors by use of culture-independent methods. The isolates, aerobic heterotrophs, grew on a wide range of standard complex media and formed visible colonies on agar plates. Thus, the previous lack of isolates cannot be explained by a lack of appropriate media. Most of the isolates possess, under a wide range of culture conditions, very small cells (<0.1 mum(3)), even when grown in medium containing high concentrations of organic substances. Thus, these strains are obligate ultramicrobacteria. The obtained strains have a C-shaped cell morphology which is very similar to that of recently isolated ultramicrobacterial Luna cluster strains (Actinobacteria) and the SAR11 cluster strains (Alphaproteobacteria).
C1 Austrian Acad Sci, Inst Limnol, A-5310 Mondsee, Austria.
RP Hahn, MW (corresponding author), Austrian Acad Sci, Inst Limnol, Mondseestr 9, A-5310 Mondsee, Austria.
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], 1969, Mammalian Protein Metabolism, DOI DOI 10.1016/B978-1-4832-3211-9.50009-7
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Bruns A, 2003, APPL ENVIRON MICROB, V69, P1980, DOI 10.1128/AEM.69.4.1980-1989.2003
BURKERT U, IN PRESS APPL ENV MI
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2003, APPL ENVIRON MICROB, V69, P2253, DOI 10.1128/AEM.69.4.2253-2268.2003
Esteve I, 1999, Int Microbiol, V2, P81
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Goris J, 2001, INT J SYST EVOL MICR, V51, P1773, DOI 10.1099/00207713-51-5-1773
Hahn MW, 1999, APPL ENVIRON MICROB, V65, P25
Hahn MW, 1999, APPL ENVIRON MICROB, V65, P4863
Hahn MW, 2003, APPL ENVIRON MICROB, V69, P1442, DOI 10.1128/AEM.69.3.1442-1451.2003
Hahn MW, 2001, FEMS MICROBIOL ECOL, V35, P113, DOI 10.1111/j.1574-6941.2001.tb00794.x
HECKMANN K, 1987, INT J SYST BACTERIOL, V37, P456, DOI 10.1099/00207713-37-4-456
HIRONS WD, 1997, APPL ENVIRON MICROB, V63, P2957
Höfle MG, 1999, APPL ENVIRON MICROB, V65, P3164
Kumar S, 2001, BIOINFORMATICS, V17, P1244, DOI 10.1093/bioinformatics/17.12.1244
Methe BA, 1998, LIMNOL OCEANOGR, V43, P368, DOI 10.4319/lo.1998.43.2.0368
Pearce DA, 2003, FEMS MICROBIOL ECOL, V45, P59, DOI 10.1016/S0168-6496(03)00110-7
Pedersen K, 1996, FEMS MICROBIOL ECOL, V19, P249, DOI 10.1016/0168-6496(96)00017-7
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
Semenova EA, 1998, MOL BIOL+, V32, P754
Simek K, 1997, APPL ENVIRON MICROB, V63, P587, DOI 10.1128/AEM.63.2.587-595.1997
SIMEK K, 1992, APPL ENVIRON MICROB, V58, P3715
Simek K, 2001, APPL ENVIRON MICROB, V67, P2723, DOI 10.1128/AEM.67.6.2723-2733.2001
Springer N, 1996, FEMS MICROBIOL LETT, V135, P333
Steinle P, 1998, APPL ENVIRON MICROB, V64, P2566
STRUNK O, 1998, ARB SOFTWARE ENV SEQ
Urbach E, 2001, LIMNOL OCEANOGR, V46, P557, DOI 10.4319/lo.2001.46.3.0557
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 33
TC 167
Z9 179
PD SEP
PY 2003
VL 69
IS 9
BP 5248
EP 5254
DI 10.1128/AEM.69.9.5248-5254.2003
UT WOS:000185437000027
DA 2025-07-30
ER
PT J
AU Shi, RJ
Li, JJ
Qi, ZH
Zhang, Z
Liu, HX
Huang, HH
AF Shi, Rongjun
Li, Jiajun
Qi, Zhanhui
Zhang, Zhe
Liu, Huaxue
Huang, Honghui
TI Abundance and community composition of bacterioplankton in the Northern
South China Sea during winter: geographic position and water layer
influences
SO BIOLOGIA
DT Article
AB The abundance and composition of bacterioplankton of the Northern South China Sea (NSCS) were investigated using flow cytometry and high-throughput sequencing. The results showed that the absolute abundance of bacterioplankton retained high values in surface waters at both continental shelf and oceanic sites and Proteobacteria, Cyanobacteria, and Bacteroidetes represented the three typical dominant phyla in NSCS. The average bacterioplankton abundances at 5 m, 75 m, and 200 m were 9.55, 5.04, and 1.32 x 10(5) cells mL(-1), respectively, and there was a significantly positive correlation between bacterioplankton abundance and Chl a content (r = 0.84, p < 0.01). Drastic changes of the bacterioplankton community occurred in different water layers. Three operational taxonomic units (OTUs), whose distribution were significantly different between 5-m and 75-m water layers, all belonged to Flavobacteriales of the Bacteroidetes (p < 0.05). In addition, bacterioplankton community richness and diversity at the continental shelf (CS) was generally higher than at oceanic stations (SB and KI). Five OTUs, which favored the habitat of continental shelf, belonged to Alphaproteobacteria including the orders of the SAR11 cluster, Rhodospirillales, Rhodobacterales and other unclassified orders (p < 0.05). Two OTUs, which favored the habitat of oceanic stations, were assigned to the orders of Flavobacteriales and Alteromonadales. Furthermore, the abundances of two OTUs belonging to the Cyanobacteria phylum and Verrucomicrobiales order were significantly different between the sea basin (SB) and Kuroshio influenced area (KI) stations (p < 0.05).
C1 [Shi, Rongjun; Li, Jiajun; Qi, Zhanhui; Zhang, Zhe; Liu, Huaxue; Huang, Honghui] Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangdong Prov Key Lab Fishery Ecol & Environm, 231 West Xingang Rd, Guangzhou 510300, Guangdong, Peoples R China.
[Shi, Rongjun; Li, Jiajun; Qi, Zhanhui; Zhang, Zhe; Liu, Huaxue; Huang, Honghui] Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Key Lab Open Sea Fishery Dev, Minist Agr, 231 West Xingang Rd, Guangzhou 510300, Guangdong, Peoples R China.
[Shi, Rongjun] Chinese Acad Sci, South China Sea Inst Oceanol, Guangdong Prov Key Lab Appl Marine Biol, Guangzhou 510300, Guangdong, Peoples R China.
RP Huang, HH (corresponding author), Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangdong Prov Key Lab Fishery Ecol & Environm, 231 West Xingang Rd, Guangzhou 510300, Guangdong, Peoples R China.; Huang, HH (corresponding author), Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Key Lab Open Sea Fishery Dev, Minist Agr, 231 West Xingang Rd, Guangzhou 510300, Guangdong, Peoples R China.
EM shirongjun@scsfri.ac.cn; huanghh@scsfri.ac.cn
CR Almutairi A, 2015, MAR POLLUT BULL, V100, P699, DOI 10.1016/j.marpolbul.2015.09.016
[Anonymous], 2007, The Specification for Marine SurveyPart 4: Investigation of Seawater Chemical Elements
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Díez-Vives C, 2014, SYST APPL MICROBIOL, V37, P68, DOI 10.1016/j.syapm.2013.08.006
Du JK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066968
Dziewit L, 2011, J MICROBIOL METH, V86, P166, DOI 10.1016/j.mimet.2011.04.016
Emami K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038515
Ghiglione JF, 2005, WATER AIR SOIL POLL, V192, P227
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Guo L, 2017, GEOPHYS RES LETT, V44, P11565, DOI 10.1002/2017GL075336
He TL, 2016, MAR BIOTECHNOL, V18, P232, DOI 10.1007/s10126-015-9683-3
Jing HM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0079423
Jing HM, 2012, ESTUAR COAST, V35, P976, DOI 10.1007/s12237-012-9504-0
Kataoka T, 2009, J MARINE SYST, V77, P197, DOI 10.1016/j.jmarsys.2008.12.006
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Li JJ, 2017, SCI TOTAL ENVIRON, V589, P1, DOI 10.1016/j.scitotenv.2017.02.208
Liu HB, 2007, DEEP-SEA RES PT II, V54, P1602, DOI 10.1016/j.dsr2.2007.05.004
Liu X, 2015, J SOIL SEDIMENT, V15, P732, DOI 10.1007/s11368-014-1045-7
Lo Giudice A, 2006, J APPL MICROBIOL, V101, P1039, DOI 10.1111/j.1365-2672.2006.03006.x
Lo Giudice A, 2012, MICROB ECOL, V63, P210, DOI 10.1007/s00248-011-9904-x
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Nemergut DR, 2011, ENVIRON MICROBIOL, V13, P135, DOI 10.1111/j.1462-2920.2010.02315.x
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Parsons TR, 1984, A MANUAL OF CHEMICAL
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Shan DP, 2015, MICROBIOL RES, V175, P16, DOI 10.1016/j.micres.2015.02.005
Shang SL, 2014, BIOGEOSCIENCES, V11, P269, DOI 10.5194/bg-11-269-2014
Shang SL, 2012, REMOTE SENS ENVIRON, V124, P38, DOI 10.1016/j.rse.2012.04.022
Suh SS, 2014, J MICROBIOL, V52, P834, DOI 10.1007/s12275-014-4287-6
Tang DL, 1999, MAR ECOL PROG SER, V191, P43, DOI 10.3354/meps191043
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Wang JJ, 2010, J MARINE SYST, V83, P141, DOI 10.1016/j.jmarsys.2010.05.006
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Xia XM, 2015, DEEP-SEA RES PT II, V117, P97, DOI 10.1016/j.dsr2.2015.05.016
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhao Y, 2016, DEEP-SEA RES PT II, V124, P100, DOI 10.1016/j.dsr2.2015.03.010
Zheng BH, 2014, MICROBIOL RES, V169, P585, DOI 10.1016/j.micres.2013.09.019
NR 41
TC 3
Z9 4
PD FEB
PY 2018
VL 73
IS 2
BP 197
EP 206
DI 10.2478/s11756-018-0023-8
UT WOS:000429144600011
DA 2025-07-30
ER
PT J
AU Giraud, C
Callac, N
Beauvais, M
Mailliez, JR
Ansquer, D
Selmaoui-Folcher, N
Pham, D
Wabete, N
Boulo, V
AF Giraud, Carolane
Callac, Nolwenn
Beauvais, Maxime
Mailliez, Jean-Rene
Ansquer, Dominique
Selmaoui-Folcher, Nazha
Pham, Dominique
Wabete, Nelly
Boulo, Viviane
TI Potential lineage transmission within the active microbiota of the eggs
and the nauplii of the shrimp Litopenaeus stylirostris:
possible influence of the rearing water and more
SO PEERJ
DT Article
AB Background. Microbial communities associated with animals are known to be key elements in the development of their hosts. In marine environments, these communities are largely under the influence of the surrounding water. In aquaculture, understanding the interactions existing between the microbiotas of farmed species and their rearing environment could help establish precise bacterial management. Method. In light of these facts, we studied the active microbial communities associated with the eggs and the nauplii of the Pacific blue shrimp (Litopenaeus stylirostris) and their rearing water. All samples were collected in September 2018, November 2018 and February 2019. After RNA extractions, two distinct Illumina HiSeq sequencings were performed. Due to different sequencing depths and in order to compare samples, data were normalized using the Count Per Million method. Results. We found a core microbiota made of taxa related to Aestuariibacter, Al-teromonas, Vibrio, SAR11, HIMB11, AEGEAN 169 marine group and Candidatus En-dobugula associated with all the samples indicating that these bacterial communities could be transferred from the water to the animals. We also highlighted specific bacterial taxa in the eggs and the nauplii affiliated to Pseudomonas, Corynebacterium, Acinetobacter, Labrenzia, Rothia, Thalassolituus, Marinobacter, Aureispira, Oleiphilus, Profundimonas and Marinobacterium genera suggesting a possible prokaryotic vertical transmission from the breeders to their offspring. This study is the first to focus on the active microbiota associated with early developmental stages of a farmed shrimp species and could serve as a basis to comprehend the microbial interactions involved throughout the whole rearing process.
C1 [Giraud, Carolane; Callac, Nolwenn; Beauvais, Maxime; Mailliez, Jean-Rene; Ansquer, Dominique; Pham, Dominique; Wabete, Nelly; Boulo, Viviane] Univ La Reunion, Univ Nouvelle Caledonie, Ifremer, IRD,CNRS,UMR ENTROPIE 9220, Noumea, New Caledonia.
[Giraud, Carolane; Selmaoui-Folcher, Nazha] Univ New Caledonia, Inst Sci Exactes & Appl ISEA, Noumea, New Caledonia.
[Beauvais, Maxime] Sorbonne Univ, Lab Oceanog Microbienne, Observ Oceanol Banyuls Sur Mer, UMR 7261,CNRS, Banyuls Sur Mer, France.
[Boulo, Viviane] Univ Perpignan, Univ Montpellier, IHPE, CNRS,Ifremer, Via Domitia, Montpellier, France.
RP Giraud, C; Callac, N (corresponding author), Univ La Reunion, Univ Nouvelle Caledonie, Ifremer, IRD,CNRS,UMR ENTROPIE 9220, Noumea, New Caledonia.; Giraud, C (corresponding author), Univ New Caledonia, Inst Sci Exactes & Appl ISEA, Noumea, New Caledonia.
EM cgiraud@ifremer.fr; ncallac@ifremer.fr
CR Allali I, 2017, BMC MICROBIOL, V17, DOI 10.1186/s12866-017-1101-8
Apprill A, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00222
Bardou P, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/1471-2105-15-293
Beemelmanns A, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-37026-3
Beliaeff B, 2009, 11 PACIFIC SCI INTER
Ben-Dov E, 2009, INT J SYST EVOL MICR, V59, P2458, DOI 10.1099/ijs.0.007468-0
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Bushel PR, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.00594
Callahan BJ, 2017, ISME J, V11, P2639, DOI 10.1038/ismej.2017.119
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cao Y, 2014, APPL ENVIRON MICROB, V80, P54, DOI 10.1128/AEM.02288-13
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
CHAN KY, 1978, INT J SYST BACTERIOL, V28, P217, DOI 10.1099/00207713-28-2-217
Chen Z, 2019, BMC MICROBIOL, V19, DOI 10.1186/s12866-019-1564-x
Cho I, 2012, NAT REV GENET, V13, P260, DOI 10.1038/nrg3182
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Cornejo-Granados F, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11805-w
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
Durán-Avelar MD, 2018, J FISH DIS, V41, P1667, DOI 10.1111/jfd.12874
Dineshkumar N, 2014, INT BIODETER BIODEGR, V92, P49, DOI 10.1016/j.ibiod.2014.04.017
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Egan S, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00991
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Farmer IiiJ.J., 2015, Bergey's Manual of Systematics of Archaea and Bacteria, P1, DOI DOI 10.1002/9781118960608.GBM01078
Fournier PE, 2006, CLIN INFECT DIS, V42, P692, DOI 10.1086/500202
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
FUERST JA, 1995, MICROBIOL-UK, V141, P1493, DOI 10.1099/13500872-141-7-1493
Galili T, 2015, BIOINFORMATICS, V31, P3718, DOI 10.1093/bioinformatics/btv428
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Glassman SI, 2018, MSPHERE, V3, DOI 10.1128/mSphere.00148-18
Goarant C, 2006, AQUACULTURE, V253, P105, DOI 10.1016/j.aquaculture.2005.07.031
Goarant C, 1999, APPL ENVIRON MICROB, V65, P1145
Golyshin PN, 2002, INT J SYST EVOL MICR, V52, P901, DOI 10.1099/ijs.0.01890-0
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Gonzalez JM, 1997, INT J SYST BACTERIOL, V47, P369, DOI 10.1099/00207713-47-2-369
Hansen GH, 1999, MICROB ECOL, V38, P1, DOI 10.1007/s002489900158
Harrison Kim E., 1997, Advances in World Aquaculture, V6, P390
Helms JR, 2009, LIMNOL OCEANOGR, V54, P1023
Hosoya S, 2006, INT J SYST EVOL MICR, V56, P2931, DOI 10.1099/ijs.0.64504-0
Hunt DE, 2008, APPL ENVIRON MICROB, V74, P44, DOI 10.1128/AEM.01412-07
Huttenhower C, 2012, NATURE, V486, P207, DOI 10.1038/nature11234
Jaroenram W, 2021, AQUACULTURE, V534, DOI 10.1016/j.aquaculture.2020.736285
Judd KE, 2006, ECOLOGY, V87, P2068, DOI 10.1890/0012-9658(2006)87[2068:VIDOMC]2.0.CO;2
McMurdie PJ, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003531
Methou P, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00808
Moloney RD, 2014, MAMM GENOME, V25, P49, DOI 10.1007/s00335-013-9488-5
Mora C, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001127
Nyholm SV, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0593
Nyholm SV, 2004, NAT REV MICROBIOL, V2, P632, DOI 10.1038/nrmicro957
Oksanen J, 2020, CRAN PACKAGE VEGAN
Orsi WD, 2016, ISME J, V10, P2158, DOI 10.1038/ismej.2016.20
Osterholz H, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy119
Palleroni NJ, 2015, Bergey's Manual of Systematics of Archaea and Bacteria, DOI [10.1002/9781118960608.gbm00935, DOI 10.1002/9781118960608.GBM00935]
Pangastuti A, 2010, Biodiversitas J. Biol. Divers., V11, P65, DOI DOI 10.13057/BIODIV/D110203
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Pham D, 2012, AQUACULTURE, V362, P10, DOI 10.1016/j.aquaculture.2012.07.026
Porter TM, 2020, FRONT ECOL EVOL, V8, DOI 10.3389/fevo.2020.00248
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Studio Team, 2020, RSTUDIO INTEGRATED D
Robinson MD, 2010, BIOINFORMATICS, V26, P139, DOI 10.1093/bioinformatics/btp616
Rungrassamee W, 2016, J INVERTEBR PATHOL, V133, P12, DOI 10.1016/j.jip.2015.11.004
Rungrassamee W, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0060802
Sadeghi-Nassaj SM, 2018, PEERJ, V6, DOI 10.7717/peerj.4344
Sehnal L, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.567408
Shade A, 2012, ENVIRON MICROBIOL, V14, P4, DOI 10.1111/j.1462-2920.2011.02585.x
Sharma AR, 2019, J ANTIBIOT, V72, P634, DOI 10.1038/s41429-019-0192-x
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Sylvain FÉ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-05662-w
Tsuzukibashi O, 2017, J MICROBIOL METH, V134, P21, DOI 10.1016/j.mimet.2017.01.005
Vadstein O, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02730
Vandenberghe J, 1999, APPL ENVIRON MICROB, V65, P2592
Wang HL, 2020, MOL GENET GENOMICS, V295, P1517, DOI 10.1007/s00438-020-01717-2
Wang YT, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00879-w
Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Wickham H, 2021, CRAN PACKAGE DPLYR
Wickham H., 2016, ggplot2: Elegant Graphics for Data Analysis
Yi HN, 2004, INT J SYST EVOL MICR, V54, P571, DOI 10.1099/ijs.0.02798-0
Zeng SZ, 2017, PEERJ, V5, DOI 10.7717/peerj.3986
Zhang ML, 2014, AQUACULTURE, V434, P449, DOI 10.1016/j.aquaculture.2014.09.008
Zheng YF, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01362
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 84
TC 12
Z9 12
PD NOV 15
PY 2021
VL 9
AR e12241
DI 10.7717/peerj.12241
UT WOS:000722308700003
DA 2025-07-30
ER
PT J
AU Biers, EJ
Sun, SL
Howard, EC
AF Biers, Erin J.
Sun, Shulei
Howard, Erinn C.
TI Prokaryotic Genomes and Diversity in Surface Ocean Waters: Interrogating
the Global Ocean Sampling Metagenome
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The Sorcerer II Global Ocean Sampling (GOS) sequencing effort has vastly expanded the landscape of metagenomics, providing an opportunity to study the genetic potential of surface ocean water bacterioplankton on a global scale. Here we describe the habitat-based microbial diversity, both taxon evenness and taxon richness, for each GOS site and estimate genome characteristics of a typical free-living, surface ocean water bacterium. While Alphaproteobacteria and particularly SAR11 dominate the 0.1- to 0.8-mu m size fraction of surface ocean water bacteria (43% and 31%, respectively), the proportions of other taxa varied with ocean habitat type. Within each habitat type, lower-bound estimates of phylum richness ranged between 18 and 59 operational taxonomic units (OTUs). However, OTU richness was relatively low in the hypersaline lagoon community at every taxonomic level, and open-ocean communities had much more microdiversity than any other habitat. Based on the abundance of single-copy eubacterial genes from the same data set, we estimate that the genome of an average free-living surface ocean water bacterium (sized between 0.1 and 0.8 mu m) contains similar to 1,019 genes and 1.8 copies of the 16S rRNA gene, suggesting that these bacteria have relatively streamlined genomes in comparison to those of cultured bacteria and bacteria from other habitats (e. g., soil or acid mine drainage).
C1 [Biers, Erin J.; Sun, Shulei] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Howard, Erinn C.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
RP Biers, EJ (corresponding author), Univ S Carolina, Dept Environm Hlth Sci, Columbia, SC 29208 USA.
EM ejbiers@mailbox.sc.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], 2004, TAXONOMIC OUTLINE PR
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
CHAO A, 1984, SCAND J STAT, V11, P265
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DeLong EE, 2005, NAT REV MICROBIOL, V3, P459, DOI 10.1038/nrmicro1158
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Foggo A, 2003, MAR ECOL PROG SER, V248, P15, DOI 10.3354/meps248015
Fuhrman JA, 1998, NATURE, V393, P410, DOI 10.1038/30839
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
HALL T.A., 1999, NUCL ACIDS S SERIES, V41, P95, DOI [DOI 10.1021/BK-1999-0734.CH008, DOI 10.14601/PHYTOPATHOLMEDITERR-14998U1.29]
Hallam SJ, 2004, SCIENCE, V305, P1457, DOI 10.1126/science.1100025
Hamann MT, 2007, CHIMIA, V61, P313, DOI 10.2533/chimia.2007.313
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Hughes JB, 2001, APPL ENVIRON MICROB, V67, P4399, DOI 10.1128/AEM.67.10.4399-4406.2001
Kannan N, 2007, PLOS BIOL, V5, P467, DOI 10.1371/journal.pbio.0050017
Kemp PF, 2004, LIMNOL OCEANOGR-METH, V2, P114, DOI 10.4319/lom.2004.2.114
Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
Klappenbach JA, 2001, NUCLEIC ACIDS RES, V29, P181, DOI 10.1093/nar/29.1.181
KRAWIEC S, 1990, MICROBIOL REV, V54, P502, DOI 10.1128/MMBR.54.4.502-539.1990
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Piganeau G, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-1-r5
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Raes J, 2007, CURR OPIN MICROBIOL, V10, P490, DOI 10.1016/j.mib.2007.09.001
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Shaw AK, 2008, ENVIRON MICROBIOL, V10, P2200, DOI 10.1111/j.1462-2920.2008.01626.x
Singleton DR, 2001, APPL ENVIRON MICROB, V67, P4374, DOI 10.1128/AEM.67.9.4374-4376.2001
SMITH TF, 1981, J MOL BIOL, V147, P195, DOI 10.1016/0022-2836(81)90087-5
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Strehl B, 1999, FEMS MICROBIOL LETT, V181, P261, DOI 10.1111/j.1574-6968.1999.tb08853.x
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Ussery DW, 2004, MICROBIOL-SGM, V150, P749, DOI 10.1099/mic.0.27103-0
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Xu L, 2006, MOL BIOL EVOL, V23, P1107, DOI 10.1093/molbev/msk019
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Yutin N, 2007, ENVIRON MICROBIOL, V9, P1464, DOI 10.1111/j.1462-2920.2007.01265.x
NR 58
TC 150
Z9 181
PD APR 1
PY 2009
VL 75
IS 7
BP 2221
EP 2229
DI 10.1128/AEM.02118-08
UT WOS:000264549400048
DA 2025-07-30
ER
PT J
AU Zhao, ZQ
Zhan, HY
Yan, T
Zhang, DC
AF Zhao, Zhangqi
Zhan, Haoyu
Yan, Tian
Zhang, Dechao
TI Seasonal and Spatial Variability in the Bacterial Diversity in Haizhou
Bay in the Southern Yellow China Sea
SO DIVERSITY-BASEL
DT Article
AB Harmful algae blooms (HABs) can have significant adverse effects on coastal ecosystems and aquaculture resiliency. We collected samples from March to August at eight different stations in Haizhou Bay (China), a region with a high frequency of HABs, and used Illumina Novaseq high-throughput sequencing and multivariate statistical analysis to characterize the bacterial communities and their relationships with different environmental factors. We identified 27 phyla, 49 classes, 158 orders, 294 families, and 522 genera. Gammaproteobacteria, Alphaproteobacteria, Bacteroidia, Acidimicrobiia, Bacilli, Actinobacteria, Cyanobacteria, Clostridia, and Acidobacteria were the most abundant classes, and Acidobacteria, Bacteroidetes, Firmicutes, Actinobacteria, Chloroflexi, Proteobacteria, and Cyanobacteria were the keystone phyla. Based on the Mantel test and redundancy analysis, temperature was the main environmental factor affecting the structure of the bacterial communities, followed by silicate, dissolved organic phosphorus (DOP), and dissolved oxygen (DO). Among the genera with high OTU abundance, Nautella was co-related positively with DO and negatively with salinity; Planktomarina was co-related positively with salinity and negatively with nitrate and nitrite. Certain families (Flavobacteriaceae, Rhodobacteraceae, and Clade_I (SAR11 clade)) and genera (Methylophaga, Alteromonas, Oleiphilus, Marinobacter, Bacillus, Nautella, and Vibrio) had associations with phytoplankton species that were responsible for HABs. This research provides new insights into the characteristics of the bacterial communities that occur in coastal areas that have HABs and provides detailed descriptions of the spatial and temporal changes in the structure of these communities.
C1 [Zhao, Zhangqi; Zhang, Dechao] Chinese Acad Sci, Inst Oceanol, Lab Marine Organism Taxon & Phylogeny, Qingdao Key Lab Marine Biodivers & Conservat, Qingdao 266071, Peoples R China.
[Zhao, Zhangqi; Zhang, Dechao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
[Zhan, Haoyu; Yan, Tian] Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China.
RP Zhang, DC (corresponding author), Chinese Acad Sci, Inst Oceanol, Lab Marine Organism Taxon & Phylogeny, Qingdao Key Lab Marine Biodivers & Conservat, Qingdao 266071, Peoples R China.; Zhang, DC (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.; Yan, T (corresponding author), Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China.
EM zhaozhangqi@qdio.ac.cn; hyzhan@yeah.net; tianyan@qdio.ac.cn;
zhangdechao@qdio.ac.cn
CR Arahal DR, 2001, INT J SYST EVOL MICR, V51, P1457, DOI 10.1099/00207713-51-4-1457
Banerjee S, 2018, NAT REV MICROBIOL, V16, P567, DOI 10.1038/s41579-018-0024-1
Bastian M., 2009, 3 INT AAAI C WEBL SO, DOI DOI 10.13140/2.1.1341.1520
Bi R, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.731786
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Braak C.J.F., 2012, Canoco reference manual and user's guide: software for ordination, ver-sion 5.0
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Chorazyczewski AM, 2021, J PHYCOL, V57, P931, DOI 10.1111/jpy.13132
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P1195, DOI 10.1128/AEM.66.3.1195-1201.2000
Deng YY, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.967610
Droop MR, 2007, J PLANKTON RES, V29, P107, DOI 10.1093/plankt/fbm009
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Ginestet C, 2011, J ROY STAT SOC A, V174, P245, DOI 10.1111/j.1467-985X.2010.00676_9.x
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
GUILLARD RRL, 1993, PHYCOLOGIA, V32, P234, DOI 10.2216/i0031-8884-32-3-234.1
Han Y, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01022-z
Huang HY, 2020, CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, DOI 10.1145/3334480.3383136
Huang IS, 2020, BIOLOGY-BASEL, V9, DOI 10.3390/biology9080183
Huisman J, 2018, NAT REV MICROBIOL, V16, P471, DOI 10.1038/s41579-018-0040-1
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Kang J, 2021, MOL ECOL, V30, P207, DOI 10.1111/mec.15714
Laas P, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9061120
Lajnef R, 2023, DIVERSITY-BASEL, V15, DOI 10.3390/d15020273
Lefler FW, 2023, FRONT MICROBIOL, V14, DOI 10.3389/fmicb.2023.1219261
Li XY, 2021, MAR POLLUT BULL, V168, DOI 10.1016/j.marpolbul.2021.112439
Li Yi, 2012, Weishengwu Xuebao, V52, P1268
Liu FG, 2022, SCI TOTAL ENVIRON, V815, DOI 10.1016/j.scitotenv.2022.152913
Liu Y, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.840564
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Maidak BL, 1997, NUCLEIC ACIDS RES, V25, P109, DOI 10.1093/nar/25.1.109
Marampouti C, 2021, ENVIRON SCI POLLUT R, V28, P3837, DOI 10.1007/s11356-020-10383-1
Marques M, 2020, MICROBIOL RESOUR ANN, V9, DOI 10.1128/MRA.00127-20
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
McKindles KM, 2019, TOXINS, V11, DOI 10.3390/toxins11100587
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Paerl HW, 2013, MICROB ECOL, V65, P995, DOI 10.1007/s00248-012-0159-y
Patin NV, 2020, PEERJ, V8, DOI 10.7717/peerj.9493
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rohrlack T, 1999, APPL ENVIRON MICROB, V65, P737
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Schloss PD, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.02343-19
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Seibold A, 2001, AQUAT MICROB ECOL, V25, P229, DOI 10.3354/ame025229
Sison-Mangus MP, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01433
Sloggett C, 2013, BIOINFORMATICS, V29, P1685, DOI 10.1093/bioinformatics/btt199
Tarazona-Janampa UI, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00569
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Vandecandelaere I, 2009, INT J SYST EVOL MICR, V59, P811, DOI 10.1099/ijs.0.002683-0
Vezzulli L, 2016, P NATL ACAD SCI USA, V113, pE5062, DOI 10.1073/pnas.1609157113
Via CW, 2018, FRONT CHEM, V6, DOI 10.3389/fchem.2018.00316
Wang JH, 2009, SCI TOTAL ENVIRON, V407, P4012, DOI 10.1016/j.scitotenv.2009.02.040
Wang JX, 2022, J OCEANOL LIMNOL, V40, P2430, DOI 10.1007/s00343-022-1402-0
Wang K, 2023, GLOBAL CHANGE BIOL, DOI 10.1111/gcb.16831
Wang XQ, 2021, APPL SOIL ECOL, V166, DOI 10.1016/j.apsoil.2021.104064
Wang ZL, 2015, LIMNOL OCEANOGR, V60, P1105, DOI 10.1002/lno.10083
WINNEPENNINCKX B, 1993, TRENDS GENET, V9, P407
Wu LW, 2022, NAT MICROBIOL, V7, P1054, DOI 10.1038/s41564-022-01147-3
Xia XM, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.135107
Yu S, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.849
Zhang SW, 2022, APPL ENVIRON MICROB, V88, DOI 10.1128/aem.01323-22
Zheng Y, 2021, J BIOSCI BIOENG, V131, P622, DOI 10.1016/j.jbiosc.2021.01.008
Zheng Y, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00893
Zhou MJ, 2015, ESTUAR COAST SHELF S, V163, P3, DOI 10.1016/j.ecss.2015.06.023
Zhu JM, 2023, FRONT MICROBIOL, V14, DOI 10.3389/fmicb.2023.1147187
NR 66
TC 0
Z9 2
PD OCT
PY 2023
VL 15
IS 10
AR 1051
DI 10.3390/d15101051
UT WOS:001094067800001
DA 2025-07-30
ER
PT J
AU Wang, M
Sun, HF
Ma, X
Wang, HB
Shi, BY
AF Wang, Min
Sun, Huifang
Ma, Xu
Wang, Haibo
Shi, Baoyou
TI Metabolic response of bacterial community to sodium hypochlorite and
ammonia nitrogen affected the antibiotic resistance genes in pipelines
biofilm
SO WATER RESEARCH
DT Article
AB The biofilm is important for the antibiotic resistance genes (ARGs) propagation in drinking water pipelines. This study investigated the influence of chlorine disinfection and ammonia nitrogen on the ARGs in pipelines biofilm using metagenomic and metabolomics analysis. Chlorine disinfection reduced the relative abundance of unclassified_c_Actinobacteria, Acidimicrobium, and Candidatus_Pelagibacter to 394-430 TPM, 114-123 TPM, and 4954 TPM, respectively. Correspondingly, the ARGs Saur_rpoC_DAP, macB, and mfd was reduced to 8-12 TPM, 81-92 TPM and 30-35 TPM, respectively. The results of metabolomics suggested that chlorine disinfection suppressed the pathways of ABC transporters, fatty acid biosynthesis, biosynthesis of unsaturated fatty acids, and biosynthesis of amino acids. These pathways were related to the cell membrane integrality and extracellular polymeric substances (EPS) secretion. Chlorine disinfection induced the decrease of EPS-related genes, resulting in the lower relative abundance of bacterial community and their antibiotic resistance. However, added approximately 0.5 mg/L NH3-N induced up-regulation of these metabolic pathways. In addition, NH3-N addition increased the relative abundance of enzymes related to inorganic and organic nitrogen metabolic pathway significantly, such as ammonia monooxygenase, glutamine synthetase, and glutamate synthase. Due to the EPS protection and nitrogen metabolism, the relative abundance of the main bacterial genera and the related ARGs increased to the level equal to that in pipelines biofilm with no disinfection. Therefore, NH3-N reduced the ARGs removal efficiency of chlorine disinfection. It is necessary to take measures to improve the removal rate of NH3-N and ARGs for preventing their risks in drinking water.
C1 [Wang, Min; Ma, Xu; Wang, Haibo; Shi, Baoyou] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, Beijing 100085, Peoples R China.
[Sun, Huifang] Shanxi Univ, Inst Resources & Environm Engn, Taiyuan 030006, Shanxi, Peoples R China.
[Shi, Baoyou] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
RP Wang, HB (corresponding author), Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Key Lab Drinking Water Sci & Technol, Beijing 100085, Peoples R China.
EM hbwang@rcees.ac.cn
CR Akhtar AA, 2022, MICROB PATHOGENESIS, V171, DOI 10.1016/j.micpath.2022.105734
Amarasiri M, 2020, CRIT REV ENV SCI TEC, V50, P2016, DOI 10.1080/10643389.2019.1692611
Ashbolt Nicholas J, 2015, Curr Environ Health Rep, V2, P95, DOI 10.1007/s40572-014-0037-5
Belding C, 2018, J WATER SUPPLY RES T, V67, P800, DOI 10.2166/aqua.2018.076
Borsetto C, 2021, WATER RES, V201, DOI 10.1016/j.watres.2021.117382
Burkovski A, 2003, FEMS MICROBIOL REV, V27, P617, DOI 10.1016/S0168-6445(03)00067-6
Deng YY, 2011, CHEM REV, V111, P160, DOI 10.1021/cr100354f
EPA of China, 2002, Analysis Method for Water and Waste Water, V4th
Gomez-Smith CK, 2015, ENVIRON SCI TECHNOL, V49, P8432, DOI 10.1021/acs.est.5b00555
He EK, 2020, ENVIRON SCI TECHNOL, V54, P3487, DOI 10.1021/acs.est.0c00663
Hua GH, 2007, WATER RES, V41, P1667, DOI 10.1016/j.watres.2007.01.032
Huang SC, 2023, WATER RES, V241, DOI 10.1016/j.watres.2023.120161
Hwang C, 2012, APPL ENVIRON MICROB, V78, P7856, DOI 10.1128/AEM.01892-12
Inkinen J, 2014, WATER RES, V49, P83, DOI 10.1016/j.watres.2013.11.013
Jia SY, 2020, WATER RES, V176, DOI 10.1016/j.watres.2020.115721
Jia SY, 2015, ENVIRON SCI TECHNOL, V49, P12271, DOI 10.1021/acs.est.5b03521
Jin PK, 2020, WATER RES, V186, DOI 10.1016/j.watres.2020.116312
Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
Ke YC, 2023, WATER RES, V247, DOI 10.1016/j.watres.2023.120759
Kuypers MMM, 2018, NAT REV MICROBIOL, V16, P263, DOI 10.1038/nrmicro.2018.9
Lautenschlager K, 2013, WATER RES, V47, P3015, DOI 10.1016/j.watres.2013.03.002
Li HB, 2023, WATER RES, V232, DOI 10.1016/j.watres.2023.119689
Li H, 2022, ENVIRON POLLUT, V313, DOI 10.1016/j.envpol.2022.120185
Li JH, 2022, ENVIRON SCI TECHNOL, V56, P15120, DOI 10.1021/acs.est.2c00268
Lin SY, 2022, ENVIRON SCI TECHNOL, V56, P12483, DOI 10.1021/acs.est.2c03980
Lipponen MTT, 2002, WATER RES, V36, P4319, DOI 10.1016/S0043-1354(02)00169-0
Lv L., 2023, Water Res., V250
Ma LP, 2022, ENVIRON INT, V158, DOI 10.1016/j.envint.2021.106978
Preciado CC, 2021, WATER RES, V201, DOI 10.1016/j.watres.2021.117372
Ren LJ, 2022, WATER RES, V216, DOI 10.1016/j.watres.2022.118298
Ren ZY, 2023, WATER RES, V235, DOI 10.1016/j.watres.2023.119884
Standardization Administration of China, 2022, Standards for drinking water quality GB5749-2022
Sun YP, 2018, CHEM ENG J, V344, P42, DOI 10.1016/j.cej.2018.03.047
Tang J, 2018, TRENDS BIOTECHNOL, V36, P1171, DOI 10.1016/j.tibtech.2018.06.009
Vikesland PJ, 2001, WATER RES, V35, P1766, DOI 10.1016/S0043-1354(00)00406-1
Waak MB, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0707-5
Wan K, 2020, FRONT ENV SCI ENG, V14, DOI 10.1007/s11783-019-1189-1
Wang H, 2014, ENVIRON SCI TECHNOL, V48, P10624, DOI 10.1021/es502646d
Wang H, 2014, ENVIRON SCI TECHNOL, V48, P1426, DOI 10.1021/es402636u
Wang NY, 2022, WATER RES, V225, DOI 10.1016/j.watres.2022.119064
Wang YH, 2021, J HAZARD MATER, V410, DOI 10.1016/j.jhazmat.2020.124602
Wu DQ, 2023, WATER RES, V236, DOI 10.1016/j.watres.2023.119949
Xu LK, 2020, WATER RES, V182, DOI 10.1016/j.watres.2020.115954
Xu YQ, 2023, WATER RES, V244, DOI 10.1016/j.watres.2023.120531
Yan XS, 2022, WATER RES, V210, DOI 10.1016/j.watres.2021.117980
Ye CS, 2022, WATER RES, V221, DOI 10.1016/j.watres.2022.118798
Yilimulati M, 2022, ENVIRON SCI TECHNOL, DOI 10.1021/acs.est.2c00776
Yin XL, 2019, ENVIRON INT, V133, DOI 10.1016/j.envint.2019.105270
Yu KQ, 2020, ENVIRON SCI TECHNOL, V54, P10012, DOI 10.1021/acs.est.0c01870
Zhang GJ, 2019, ENVIRON INT, V124, P25, DOI 10.1016/j.envint.2018.12.040
Zhang HH, 2022, WATER RES, V225, DOI 10.1016/j.watres.2022.119161
Zhang HC, 2019, ENVIRON SCI TECHNOL, V53, P2141, DOI 10.1021/acs.est.8b05907
Zhang MR, 2021, WATER RES, V207, DOI 10.1016/j.watres.2021.117832
Zhang S, 2021, ISME J, V15, P2969, DOI 10.1038/s41396-021-00980-4
Zhang Y, 2009, CRIT REV ENV SCI TEC, V39, P153, DOI 10.1080/10643380701631739
Zhao LJ, 2017, ENVIRON SCI TECHNOL, V51, P10184, DOI 10.1021/acs.est.7b02163
Zhao YP, 2018, ENVIRON SCI TECHNOL, V52, P3685, DOI 10.1021/acs.est.7b06553
Zhou ZY, 2023, ENVIRON POLLUT, V335, DOI 10.1016/j.envpol.2023.122311
Zhu NJ, 2021, ENVIRON SCI TECHNOL, V55, P8329, DOI 10.1021/acs.est.1c01199
Zhu ZB, 2021, CHEMOSPHERE, V264, DOI 10.1016/j.chemosphere.2020.128410
NR 60
TC 8
Z9 9
PD MAR 15
PY 2024
VL 252
AR 121179
DI 10.1016/j.watres.2024.121179
EA FEB 2024
UT WOS:001178810800001
DA 2025-07-30
ER
PT J
AU Acinas, SG
Antón, J
Rodríguez-Valera, F
AF Acinas, SG
Antón, J
Rodríguez-Valera, F
TI Diversity of free-living and attached bacteria in offshore western
Mediterranean waters as depicted by analysis of genes encoding 16S rRNA
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB In a previous study (S. G. Acinas, F. Rodriguez-Valera, and C. Pedros-Alio, FEMS Microbiol. Ecol. 24:27-40, 1997), community fingerprinting by 16S rDNA restriction analysis applied to Mediterranean offshore waters showed that the free-living pelagic bacterial community was very different from the bacterial cells aggregated or attached to particles of more than about 8 mu m. Here we have studied both assemblages at three depths (5, 50, and 400 m) by cloning and sequencing the 168 rDNA obtained from the same samples, and we have also studied the samples by scanning electron microscopy to detect morphology patterns. As expected, the sequences retrieved from the assemblages were very different. The subsample of attached bacteria contained very little diversity, with close relatives of a well-known species of marine bacteria, Alteromonas macleodii, representing the vast majority of the clones at every depth. On the other hand, the free-living assemblage was highly diverse and varied with depth. At 400 m, close relatives of cultivated gamma Proteobacteria predominated, but as shown by other authors, near the surface most clones were related to phylotypes described only by sequence, in which the alpha Proteobacteria of the SAR11 cluster predominated. The new technique of rDNA internal spacer analysis has been utilized, confirming these results. Clones representative of the A. macleodii cluster have been completely sequenced, producing a picture that fits well with the idea that they could represent a genus with at least two species and with a characteristic depth distribution.
C1 Univ Miguel Hernandez, Ctr Biol Mol & Celular, Unidad Microbiol, Alicante 03550, Spain.
Univ Alicante, Dept Biotecnol, Div Microbiol, E-03080 Alicante, Spain.
RP Rodríguez-Valera, F (corresponding author), Univ Miguel Hernandez, Ctr Biol Mol & Celular, Unidad Microbiol, Campus San Juan,Apartado 18, Alicante 03550, Spain.
CR Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
ALBRIGHT LJ, 1986, APPL ENVIRON MICROB, V51, P614, DOI 10.1128/AEM.51.3.614-621.1986
Alfreider A, 1996, APPL ENVIRON MICROB, V62, P2138, DOI 10.1128/AEM.62.6.2138-2144.1996
ALLDREDGE AL, 1986, LIMNOL OCEANOGR, V31, P68, DOI 10.4319/lo.1986.31.1.0068
[Anonymous], MICROBIOL REV
BAUMANN L, 1972, J BACTERIOL, V110, P402, DOI 10.1128/JB.110.1.402-429.1972
BIDLE KD, 1995, APPL ENVIRON MICROB, V61, P944, DOI 10.1128/AEM.61.3.944-952.1995
Borneman J, 1997, APPL ENVIRON MICROB, V63, P2647, DOI 10.1128/AEM.63.7.2647-2653.1997
CAMMEN LM, 1982, CAN J FISH AQUAT SCI, V39, P1655, DOI 10.1139/f82-223
CARON DA, 1982, SCIENCE, V218, P795, DOI 10.1126/science.218.4574.795
CULLEN JJ, 1982, CAN J FISH AQUAT SCI, V39, P791, DOI 10.1139/f82-108
CURDS CR, 1982, ANNU REV MICROBIOL, V36, P27, DOI 10.1146/annurev.mi.36.100182.000331
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
EPPLEY RW, 1988, MAR ECOL PROG SER, V42, P289, DOI 10.3354/meps042289
ESTRADA M, 1993, MAR ECOL PROG SER, V92, P289, DOI 10.3354/meps092289
FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
GAUTHIER G, 1995, INT J SYST BACTERIOL, V45, P755, DOI 10.1099/00207713-45-4-755
Giovanni S.J., 1993, OCEANOGRAPHY, V6, P95
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Gurtler V, 1996, MICROBIOL-SGM, V142, P3, DOI 10.1099/13500872-142-1-3
HERBLAND A, 1983, OCEANOGR TROP, V17, P15
IRRIBERRY J, 1990, APPL ENVIRON MICROB, V56, P483
JUKES T H, 1969, P21
KIMOR B, 1987, J PLANKTON RES, V9, P433, DOI 10.1093/plankt/9.3.433
LEE SH, 1991, LIMNOL OCEANOGR, V36, P1277, DOI 10.4319/lo.1991.36.7.1277
LOCHTE K, 1988, NATURE, V333, P67, DOI 10.1038/333067a0
LOGAN BE, 1987, LIMNOL OCEANOGR, V32, P1034, DOI 10.4319/lo.1987.32.5.1034
MAIDAK BL, 1994, NUCLEIC ACIDS RES, V22, P3485, DOI 10.1093/nar/22.17.3485
MARTINEZMURCIA AJ, 1995, FEMS MICROBIOL ECOL, V17, P247, DOI 10.1111/j.1574-6941.1995.tb00149.x
Morita R.Y., 1997, BACTERIA OLIGOTROPHI
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
MUYZER G, COMMUNICATION
Pinhassi J, 1997, APPL ENVIRON MICROB, V63, P3359, DOI 10.1128/AEM.63.9.3359-3366.1997
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
VANDERMAAREL, COMMUNICATION
Weidner S, 1996, APPL ENVIRON MICROB, V62, P766, DOI 10.1128/AEM.62.3.766-771.1996
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
NR 44
TC 299
Z9 332
PD FEB
PY 1999
VL 65
IS 2
BP 514
EP 522
UT WOS:000078495200023
DA 2025-07-30
ER
PT J
AU Salcher, MM
Posch, T
Pernthaler, J
AF Salcher, Michaela M.
Posch, Thomas
Pernthaler, Jakob
TI In situ substrate preferences of abundant bacterioplankton
populations in a prealpine freshwater lake
SO ISME JOURNAL
DT Article
AB The substrate partitioning of sympatric populations of freshwater bacterioplankton was studied via microautoradiography and fluorescence in situ hybridization. Fourteen radiolabeled tracers were used to assess microbial acquisition spectra of low-molecular-weight (LMW) organic compounds. The most abundant group, ac1 Actinobacteria, were highly active in leucine, thymidine and glucose assimilation, whereas Alphaproteobacteria from the LD12 lineage (the freshwater sister clade of SAR11) only weakly incorporated these tracers, but exhibited a distinct preference for glutamine and glutamate. Different Bacteroidetes showed contrasting uptake patterns: Flavobacteriales did not incorporate significant amounts of any LMW compound, and Cyclobacteriaceae were clearly specialized on leucine, glucose and arginine. Betaproteobacteria represented the most active and versatile bacterioplankton fraction and >90% of them could be assigned to eight species-to genus-like populations with contrasting substrate specialization. Limnohabitans sp. were the most abundant and active Betaproteobacteria, incorporating almost all tracers. While three closely related betaproteobacterial populations substantially differed in their uptake spectra, two more distantly related lineages had very similar preferences, and one population did not incorporate any tracer. The dominant phototrophic microorganism, the filamentous cyanobacterium Planktothrix rubescens, assimilated several substrates, whereas other (pico)cyanobacteria had no heterotrophic activity. The variable extent of specialization by the studied bacterial taxa on subsets of LMW compounds contrasts theoretical considerations about non-selective microbial substrate assimilation at oligotrophic conditions. This physiological niche separation might be one explanation for the coexistence of freshwater bacterioplankton species in a seemingly uniform environment. The ISME Journal (2013) 7, 896-907; doi:10.1038/ismej.2012.162; published online 13 December 2012
C1 [Salcher, Michaela M.; Posch, Thomas; Pernthaler, Jakob] Univ Zurich, Inst Plant Biol, Limnol Stn, CH-8802 Kilchberg, Switzerland.
RP Salcher, MM (corresponding author), Univ Zurich, Inst Plant Biol, Limnol Stn, Seestr 187, CH-8802 Kilchberg, Switzerland.
EM msalcher@limnol.uzh.ch
CR Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Arnds J, 2010, SYST APPL MICROBIOL, V33, P139, DOI 10.1016/j.syapm.2009.12.005
Beier S, 2011, LIMNOL OCEANOGR, V56, P1179, DOI 10.4319/lo.2011.56.4.1179
Berggren M, 2010, ISME J, V4, P408, DOI 10.1038/ismej.2009.120
Bertilsson S, 1998, LIMNOL OCEANOGR, V43, P885, DOI 10.4319/lo.1998.43.5.0885
Beutler M, 2002, PHOTOSYNTH RES, V72, P39, DOI 10.1023/A:1016026607048
Buck U, 2009, ENVIRON MICROBIOL, V11, P1854, DOI 10.1111/j.1462-2920.2009.01910.x
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Eckert EM, 2012, ENVIRON MICROBIOL, V14, P794, DOI 10.1111/j.1462-2920.2011.02639.x
Egli T, 2010, WATER RES, V44, P4826, DOI 10.1016/j.watres.2010.07.023
Eiler A, 2007, APPL ENVIRON MICROB, V73, P3511, DOI 10.1128/AEM.02534-06
FEUILLADE M, 1988, ARCH HYDROBIOL, V113, P345
Garcia SL, 2012, ISME J, DOI [2010.1038/ismej.2012.2086, DOI 10.1038/ISMEJ.2012.2086]
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giroldo D, 2005, J PLANKTON RES, V27, P695, DOI 10.1093/plankt/fbi043
Giroldo D, 2007, FRESHWATER BIOL, V52, P1281, DOI 10.1111/j.1365-2427.2007.01764.x
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Hahn MW, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032772
Hahn MW, 2012, INT J SYST EVOL MICR, V62, P376, DOI 10.1099/ijs.0.031393-0
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P2002, DOI 10.1099/ijs.0.005801-0
Hahn MW, 2005, APPL ENVIRON MICROB, V71, P4539, DOI 10.1128/AEM.71.8.4539-4547.2005
HAMA T, 1987, ARCH HYDROBIOL, V109, P227
Hornák K, 2012, ENVIRON MICROBIOL, V14, P765, DOI 10.1111/j.1462-2920.2011.02635.x
HUTCHINSON G, 1961, AM NAT, V95, P137, DOI 10.1086/282171
Jezbera J, 2006, ENVIRON MICROBIOL, V8, P1330, DOI 10.1111/j.1462-2920.2006.01026.x
Kasalicky V, 2010, INT J SYST EVOL MICR, V60, P2710, DOI 10.1099/ijs.0.018952-0
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Lee S, 2012, INT J SYST EVOL MICR, V62, P2378, DOI 10.1099/ijs.0.032698-0
Lengeler JW, 1999, BIOL PROKARYOTES
Liu Y, 2009, INT J SYST EVOL MICR, V59, P1759, DOI 10.1099/ijs.0.005215-0
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Meon B, 1999, AQUAT MICROB ECOL, V16, P281, DOI 10.3354/ame016281
Michelou VK, 2011, LIMNOL OCEANOGR, V56, P323, DOI 10.4319/lo.2011.56.1.0323
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
PEDROSALIO C, 1989, MAR ECOL PROG SER, V55, P83, DOI 10.3354/meps055083
Perez MT, 2006, LIMNOL OCEANOGR, V51, P2527, DOI 10.4319/lo.2006.51.6.2527
Pérez MT, 2010, ENVIRON MICROBIOL, V12, P74, DOI 10.1111/j.1462-2920.2009.02043.x
Pernthaler J, 2004, APPL ENVIRON MICROB, V70, P6272, DOI 10.1128/AEM.70.10.6272-6281.2004
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Piwosz K, LIMNOL OCEANOGR
Posch T, 2012, NAT CLIM CHANGE, V2, P809, DOI [10.1038/NCLIMATE1581, 10.1038/nclimate1581]
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
ROSENSTOCK B, 1993, LIMNOL OCEANOGR, V38, P1521, DOI 10.4319/lo.1993.38.7.1521
Sack ELW, 2011, APPL ENVIRON MICROB, V77, P6931, DOI 10.1128/AEM.00372-11
Salcher MM, 2008, ENVIRON MICROBIOL, V10, P2074, DOI 10.1111/j.1462-2920.2008.01628.x
Salcher MM, 2011, LIMNOL OCEANOGR, V56, P2027, DOI 10.4319/lo.2011.56.6.2027
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Schauer M, 2006, APPL ENVIRON MICROB, V72, P4704, DOI 10.1128/AEM.02935-05
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sekar R, 2004, APPL ENVIRON MICROB, V70, P6210, DOI 10.1128/AEM.70.10.6210-6219.2004
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Simek K, 2005, APPL ENVIRON MICROB, V71, P2381, DOI 10.1128/AEM.71.5.2381-2390.2005
Simek K, 2001, APPL ENVIRON MICROB, V67, P2723, DOI 10.1128/AEM.67.6.2723-2733.2001
Simek K, 2008, AQUAT MICROB ECOL, V51, P249, DOI 10.3354/ame01193
Simek K, 2011, APPL ENVIRON MICROB, V77, P7307, DOI 10.1128/AEM.05107-11
Stamatakis A, 2005, CONCURR COMP-PRACT E, V17, P1705, DOI 10.1002/cpe.954
SUNDH I, 1992, APPL ENVIRON MICROB, V58, P2938, DOI 10.1128/AEM.58.9.2938-2947.1992
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Van den Wyngaert S, 2011, LIMNOL OCEANOGR, V56, P97, DOI 10.4319/lo.2011.56.1.0097
Walsby AE, 2006, FEMS MICROBIOL ECOL, V58, P14, DOI 10.1111/j.1574-6941.2006.00143.x
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Weiss M, 1999, AQUAT MICROB ECOL, V17, P1, DOI 10.3354/ame017001
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
Zotina T, 2003, FRESHWATER BIOL, V48, P1859, DOI 10.1046/j.1365-2427.2003.01134.x
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 70
TC 107
Z9 118
PD MAY
PY 2013
VL 7
IS 5
BP 896
EP 907
DI 10.1038/ismej.2012.162
UT WOS:000317963300002
DA 2025-07-30
ER
PT J
AU Messer, LF
Ostrowski, M
Doblin, MA
Petrou, K
Baird, ME
Ingleton, T
Bissett, A
Van de Kamp, J
Nelson, T
Paulsen, I
Bodrossy, L
Fuhrman, JA
Seymour, JR
Brown, MV
AF Messer, Lauren F.
Ostrowski, Martin
Doblin, Martina A.
Petrou, Katherina
Baird, Mark E.
Ingleton, Timothy
Bissett, Andrew
Van de Kamp, Jodie
Nelson, Tiffanie
Paulsen, Ian
Bodrossy, Levente
Fuhrman, Jed A.
Seymour, Justin R.
Brown, Mark, V
TI Microbial tropicalization driven by a strengthening western ocean
boundary current
SO GLOBAL CHANGE BIOLOGY
DT Article
AB Western boundary currents (WBCs) redistribute heat and oligotrophic seawater from the tropics to temperate latitudes, with several displaying substantial climate change-driven intensification over the last century. Strengthening WBCs have been implicated in the poleward range expansion of marine macroflora and fauna, however, the impacts on the structure and function of temperate microbial communities are largely unknown. Here we show that the major subtropical WBC of the South Pacific Ocean, the East Australian Current (EAC), transports microbial assemblages that maintain tropical and oligotrophic (k-strategist) signatures, to seasonally displace more copiotrophic (r-strategist) temperate microbial populations within temperate latitudes of the Tasman Sea. We identified specific characteristics of EAC microbial assemblages compared with non-EAC assemblages, including strain transitions within the SAR11 clade, enrichment ofProchlorococcus, predicted smaller genome sizes and shifts in the importance of several functional genes, including those associated with cyanobacterial photosynthesis, secondary metabolism and fatty acid and lipid transport. At a temperate time-series site in the Tasman Sea, we observed significant reductions in standing stocks of total carbon and chlorophylla, and a shift towards smaller phytoplankton and carnivorous copepods, associated with the seasonal impact of the EAC microbial assemblage. In light of the substantial shifts in microbial assemblage structure and function associated with the EAC, we conclude that climate-driven expansions of WBCs will expand the range of tropical oligotrophic microbes, and potentially profoundly impact the trophic status of temperate waters.
C1 [Messer, Lauren F.] Univ Queensland, Australian Ctr Ecogen, Sch Chem & Mol Biosci, Brisbane, Qld, Australia.
[Ostrowski, Martin; Paulsen, Ian] Univ Technol Sydney, Climate Change Cluster, Sydney, NSW, Australia.
[Ostrowski, Martin; Doblin, Martina A.; Seymour, Justin R.] Macquarie Univ, Dept Mol Sci, Sydney, NSW, Australia.
[Petrou, Katherina] Univ Technol Sydney, Sch Life Sci, Sydney, NSW, Australia.
[Baird, Mark E.; Bissett, Andrew; Van de Kamp, Jodie; Bodrossy, Levente] CSIRO, Oceans & Atmosphere, Hobart, Tas, Australia.
[Ingleton, Timothy] Off Environm & Heritage, Sydney, NSW, Australia.
[Nelson, Tiffanie] Deakin Univ, Geelong Ctr Emerging Infect Dis, Melbourne, Vic, Australia.
[Fuhrman, Jed A.] Univ Southern Calif, Los Angeles, CA 90007 USA.
[Brown, Mark, V] Univ Newcastle Australia, Sch Environm & Life Sci, Callaghan, NSW, Australia.
[Messer, Lauren F.] Queensland Univ Technol, Ctr Microbiome Res, Sch Biomed Sci, Woolloongabba, Qld, Australia.
RP Brown, MV (corresponding author), Univ Newcastle Australia, Sch Environm & Life Sci, Callaghan, NSW, Australia.
EM oceanmicrobes@gmail.com
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Ajani PA, 2014, LIMNOL OCEANOGR, V59, P519, DOI 10.4319/lo.2014.59.2.0519
Armbrecht LH, 2015, J MARINE SYST, V144, P92, DOI 10.1016/j.jmarsys.2014.11.008
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Baltazar-Soares M, 2014, CURR BIOL, V24, P104, DOI 10.1016/j.cub.2013.11.031
Barton AD, 2016, P NATL ACAD SCI USA, V113, P2964, DOI 10.1073/pnas.1519080113
Barton AD, 2010, SCIENCE, V327, P1509, DOI 10.1126/science.1184961
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bopp L, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023653
Bopp L, 2001, GLOBAL BIOGEOCHEM CY, V15, P81, DOI 10.1029/1999GB001256
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P2050, DOI 10.1111/j.1462-2920.2007.01321.x
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchanan PJ, 2014, REV FISH BIOL FISHER, V24, P427, DOI 10.1007/s11160-013-9312-z
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cai W, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024911
Cai W, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024701
Cao Y, 2014, BIOINFORMATICS, V30, P1674, DOI 10.1093/bioinformatics/btu104
Cheung SY, 2019, J GEOPHYS RES-BIOGEO, V124, P2680, DOI 10.1029/2018JG004960
Cheung SY, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0186875
Cowley R., 1999, 236 CSIRO MAR LAB
Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
Dixon P, 2003, J VEG SCI, V14, P927, DOI 10.1658/1100-9233(2003)014[0927:VAPORF]2.0.CO;2
Doblin MA, 2016, PEERJ, V4, DOI 10.7717/peerj.1973
Doblin MA, 2016, P NATL ACAD SCI USA, V113, P5700, DOI 10.1073/pnas.1521093113
Duarte CM, 2020, NATURE, V580, P39, DOI 10.1038/s41586-020-2146-7
Ducklow HW, 2013, ANNU REV MAR SCI, V5, P525, DOI 10.1146/annurev-marine-121211-172331
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Figueira WF, 2010, GLOBAL CHANGE BIOL, V16, P506, DOI 10.1111/j.1365-2486.2009.01934.x
Flombaum P, 2020, NAT GEOSCI, V13, P116, DOI 10.1038/s41561-019-0524-2
Focardi A, 2020, VIRUSES-BASEL, V12, DOI 10.3390/v12030317
Follows M.J., 2014, LIMNOL OCEANOGR FLUI, V4, P67, DOI [DOI 10.1215/21573689-2768549, 10.1215/21573689]
Galand PE, 2009, ENVIRON MICROBIOL, V11, P971, DOI 10.1111/j.1462-2920.2008.01822.x
GARCIA MGM, 2017, GEOHERITAGE, V1, P1, DOI DOI 10.1038/s41598-017-01309-y
Gianoulis TA, 2009, P NATL ACAD SCI USA, V106, P1374, DOI 10.1073/pnas.0808022106
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GODFREY JS, 1980, J PHYS OCEANOGR, V10, P430, DOI 10.1175/1520-0485(1980)010<0430:TSOTEA>2.0.CO;2
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Hamdan LJ, 2013, ISME J, V7, P685, DOI 10.1038/ismej.2012.143
HAMON BV, 1975, AUST J MAR FRESH RES, V26, P389
HARRIS GP, 1991, J PLANKTON RES, V13, pS109
Henson S, 2019, GLOBAL BIOGEOCHEM CY, V33, P891, DOI 10.1029/2018GB006158
Holbrook NJ, 1997, J CLIMATE, V10, P1035, DOI 10.1175/1520-0442(1997)010<1035:IADTVI>2.0.CO;2
Hu DX, 2015, NATURE, V522, P299, DOI 10.1038/nature14504
Huete-Stauffer TM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00730
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Ibarbalz FM, 2019, CELL, V179, P1084, DOI 10.1016/j.cell.2019.10.008
Johnson CR, 2011, J EXP MAR BIOL ECOL, V400, P17, DOI 10.1016/j.jembe.2011.02.032
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Kelly KA, 2010, J CLIMATE, V23, P5644, DOI 10.1175/2010JCLI3346.1
Kingsbury KM, 2020, GLOBAL CHANGE BIOL, V26, P721, DOI 10.1111/gcb.14898
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Knights D, 2011, NAT METHODS, V8, P761, DOI 10.1038/nmeth.1650
Kwon YO, 2010, J CLIMATE, V23, P3249, DOI 10.1175/2010JCLI3343.1
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Last PR, 2011, GLOBAL ECOL BIOGEOGR, V20, P58, DOI 10.1111/j.1466-8238.2010.00575.x
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Ling SD, 2009, GLOBAL CHANGE BIOL, V15, P719, DOI 10.1111/j.1365-2486.2008.01734.x
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Lynch T, 2008, OCEANS 2008, DOI [10.1109/OCEANS.2008.5151856, DOI 10.1109/OCEANS.2008.5151856]
Lynch TP, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113652
Mazard S, 2012, ENVIRON MICROBIOL, V14, P372, DOI 10.1111/j.1462-2920.2011.02514.x
Minobe S, 2008, NATURE, V452, P206, DOI 10.1038/nature06690
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morán XAG, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.0371
Morán XAG, 2010, GLOBAL CHANGE BIOL, V16, P1137, DOI 10.1111/j.1365-2486.2009.01960.x
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Nayfach S, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0611-7
O'Leary NA, 2016, NUCLEIC ACIDS RES, V44, pD733, DOI 10.1093/nar/gkv1189
Oliver Eric C. J., 2014, Journal of Climate, V27, P1980, DOI 10.1175/JCLI-D-13-00259.1
Oliver ECJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms16101
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
Phoma S, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-28939-0
Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/NCLIMATE1958, 10.1038/nclimate1958]
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Reshef DN, 2011, SCIENCE, V334, P1518, DOI 10.1126/science.1205438
Ridgway KR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030392
Ridgway KH.K., 2009, A Marine Climate Change Impacts and Adaptation Report Card for Australia 2009, P1
Ridgway KR, 1997, J GEOPHYS RES-OCEANS, V102, P22921, DOI 10.1029/97JC00227
Sabath N, 2013, GENOME BIOL EVOL, V5, P966, DOI 10.1093/gbe/evt050
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Scott R, 2014, ECOLOGY, V95, P2840, DOI 10.1890/13-2164.1
Sekar R, 2004, APPL ENVIRON MICROB, V70, P6210, DOI 10.1128/AEM.70.10.6210-6219.2004
Seymour JR, 2012, ENV MICROBIOL REP, V4, P548, DOI 10.1111/j.1758-2229.2012.00362.x
Sheridan JA, 2011, NAT CLIM CHANGE, V1, P401, DOI 10.1038/NCLIMATE1259
Shiozaki T, 2015, BIOGEOSCIENCES, V12, P6931, DOI 10.5194/bg-12-6931-2015
Shiozaki T, 2018, LIMNOL OCEANOGR, V63, P2191, DOI 10.1002/lno.10933
Shiozaki T, 2014, CONT SHELF RES, V80, P20, DOI 10.1016/j.csr.2014.02.015
Shiozaki T, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2009GB003620
Silva GGZ, 2016, BIOINFORMATICS, V32, P354, DOI 10.1093/bioinformatics/btv584
Sorensen JW, 2019, NAT MICROBIOL, V4, P55, DOI 10.1038/s41564-018-0276-6
Sorte CJB, 2010, GLOBAL ECOL BIOGEOGR, V19, P303, DOI 10.1111/j.1466-8238.2009.00519.x
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Stommel H., 1948, Eos, V29, P202, DOI [10.1029/TR029i002p00202., DOI 10.1029/TR029I002P00202]
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tripathy BC, 2010, PLANT SIGNAL BEHAV, V5, P14, DOI 10.4161/psb.5.1.10173
Vergés A, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.0846
Villarino E, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02535-8
Wilkins D, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3457
Wu LX, 2012, NAT CLIM CHANGE, V2, P161, DOI 10.1038/NCLIMATE1353
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Zhu WH, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq275
NR 114
TC 14
Z9 15
PD OCT
PY 2020
VL 26
IS 10
BP 5613
EP 5629
DI 10.1111/gcb.15257
EA JUL 2020
UT WOS:000552351100001
DA 2025-07-30
ER
PT J
AU Tsagaraki, TM
Pree, B
Leiknes, O
Larsen, A
Bratbak, G
Ovreås, L
Egge, JK
Spanek, R
Paulsen, ML
Olsen, Y
Vadstein, O
Thingstad, TF
AF Tsagaraki, Tatiana M.
Pree, Bernadette
Leiknes, Oystein
Larsen, Aud
Bratbak, Gunnar
Ovreas, Lise
Egge, Jorun K.
Spanek, Roman
Paulsen, Maria L.
Olsen, Yngvar
Vadstein, Olav
Thingstad, T. F.
TI Bacterial community composition responds to changes in copepod abundance
and alters ecosystem function in an Arctic mesocosm study
SO ISME JOURNAL
DT Article
AB Combining a minimum food web model with Arctic microbial community dynamics, we have suggested that top-down control by copepods can affect the food web down to bacterial consumption of organic carbon. Pursuing this hypothesis further, we used the minimum model to design and analyse a mesocosm experiment, studying the effect of high (+Z) and low (-Z) copepod density on resource allocation, along an organic-C addition gradient. In the Arctic, both effects are plausible due to changes in advection patterns (affecting copepods) and meltwater inputs (affecting carbon). The model predicts a trophic cascade from copepods via ciliates to flagellates, which was confirmed experimentally. Auto-and heterotrophic flagellates affect bacterial growth rate and abundance via competition for mineral nutrients and predation, respectively. In +Z, the model predicts low bacterial abundance and activity, and little response to glucose; as opposed to clear glucose consumption effects in -Z. We observed a more resilient bacterial response to high copepods and demonstrate this was due to changes in bacterial community equitability. Species able to use glucose to improve their competitive and/or defensive properties, became predominant. The observed shift from a SAR11-to a Psychromonodaceae - dominated community suggests the latter was pivotal in this modification of ecosystem function. We argue that this group used glucose to improve its defensive or its competitive abilities (or both). Adding such flexibility in bacterial traits to the model, we show how it creates the observed resilience to top-down manipulations observed in our experiment.
C1 [Tsagaraki, Tatiana M.; Pree, Bernadette; Larsen, Aud; Bratbak, Gunnar; Ovreas, Lise; Egge, Jorun K.; Paulsen, Maria L.; Thingstad, T. F.] Univ Bergen, Dept Biol Sci, Bergen, Norway.
[Leiknes, Oystein; Olsen, Yngvar] NTNU Norwegian Univ Sci & Technol, Dept Biol, Trondheim, Norway.
[Larsen, Aud] Uni Res AS, Uni Res Environm, Bergen, Norway.
[Spanek, Roman] Tech Univ Liberec, Inst Mechatron & Comp Engn, Liberec, Czech Republic.
[Vadstein, Olav] NTNU Norwegian Univ Sci & Technol, Dept Biotechnol & Food Sci, Trondheim, Norway.
[Ovreas, Lise] Univ Ctr Svalbard, Longyearbyen, Norway.
RP Tsagaraki, TM (corresponding author), Univ Bergen, Dept Biol Sci, Bergen, Norway.
EM tatiana.tsagaraki@uib.no
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
AMAP, 2013, AMAP ASS 2013 ARCT O
Anisimov OA, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P653
[Anonymous], 1993, Handbook of Methods in Aquatic Microbial Ecology. Eds
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Bamstedt U., 1986, P1
Baumgartner M, 2017, ISME J, V11, P2258, DOI 10.1038/ismej.2017.87
Brussaard CPD, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2016.255
CARPENTER SR, 1985, BIOSCIENCE, V35, P634, DOI 10.2307/1309989
Cauwet G., 1999, Methods of Seawater Analysis, DOI [10.1002/9783527613984.ch15, DOI 10.1002/9783527613984.CH15]
Ducklow Hugh W., 2001, Oceanography, V14, P50
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edwards M, 2004, NATURE, V430, P881, DOI 10.1038/nature02808
Engel A, 2013, BIOGEOSCIENCES, V10, P1291, DOI 10.5194/bg-10-1291-2013
EPPLEY RW, 1979, NATURE, V282, P677, DOI 10.1038/282677a0
Falk-Petersen S, 2009, MAR BIOL RES, V5, P18, DOI 10.1080/17451000802512267
Fellman JB, 2010, MAR CHEM, V121, P112, DOI 10.1016/j.marchem.2010.03.009
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gihring TM, 2012, ENVIRON MICROBIOL, V14, P285, DOI 10.1111/j.1462-2920.2011.02550.x
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Grasshoff K., 1983, METHODS SEAWATER ANA, P125
HAY SJ, 1991, CONT SHELF RES, V11, P1453, DOI 10.1016/0278-4343(91)90021-W
HAY SJ, 1988, J PLANKTON RES, V10, P431, DOI 10.1093/plankt/10.3.431
Hessen DO, 2004, ECOLOGY, V85, P1179, DOI 10.1890/02-0251
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Holmes RM, 2012, ESTUAR COAST, V35, P369, DOI 10.1007/s12237-011-9386-6
HOLMHANSEN O, 1978, OIKOS, V30, P438, DOI 10.2307/3543338
Hood E, 2009, NATURE, V462, P1044, DOI 10.1038/nature08580
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Jónasdóttir SH, 2015, P NATL ACAD SCI USA, V112, P12122, DOI 10.1073/pnas.1512110112
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kosobokova KN, 1999, POLAR BIOL, V22, P254, DOI 10.1007/s003000050418
Kraft A, 2013, MAR ECOL PROG SER, V493, P291, DOI 10.3354/meps10507
Kwasniewski S, 2003, J PLANKTON RES, V25, P1, DOI 10.1093/plankt/25.1.1
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Larsen A, 2015, LIMNOL OCEANOGR, V60, P360, DOI 10.1002/lno.10025
Le Moigne FAC, 2013, EARTH SYST SCI DATA, V5, P295, DOI 10.5194/essd-5-295-2013
Le Moigne FAC, 2015, J GEOPHYS RES-OCEANS, V120, P3896, DOI 10.1002/2015JC010700
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Lechtenfeld OJ, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7711
Legendre L, 1996, MAR ECOL PROG SER, V145, P179, DOI 10.3354/meps145179
Legendre L, 2015, PROG OCEANOGR, V134, P432, DOI 10.1016/j.pocean.2015.01.008
Li WKW, 1995, LIMNOL OCEANOGR, V40, P1485, DOI 10.4319/lo.1995.40.8.1485
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
Longnecker K, 2006, AQUAT MICROB ECOL, V43, P113, DOI 10.3354/ame043113
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Mathisen P, 2016, AQUAT MICROB ECOL, V78, P81, DOI 10.3354/ame01802
Matz C, 2003, MICROB ECOL, V45, P384, DOI 10.1007/s00248-003-2000-0
Morán XAG, 2010, AQUAT MICROB ECOL, V58, P229, DOI 10.3354/ame01374
NEEDLEMAN SB, 1970, J MOL BIOL, V48, P443, DOI 10.1016/0022-2836(70)90057-4
Ni ZX, 2015, J ENVIRON SCI-CHINA, V32, P146, DOI 10.1016/j.jes.2014.12.019
PELLA E, 1973, MIKROCHIM ACTA, P697
Polimene L, 2017, J PLANKTON RES, V39, P180, DOI 10.1093/plankt/fbw091
Polis GA, 2000, TRENDS ECOL EVOL, V15, P473, DOI 10.1016/S0169-5347(00)01971-6
Proctor CR, 2018, ISME J, V12, P1344, DOI 10.1038/s41396-018-0070-8
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Rhein M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P255
Riebesell U, 2013, BIOGEOSCIENCES, V10, P5619, DOI 10.5194/bg-10-5619-2013
Sandaa RA, 2017, VIRUSES-BASEL, V9, DOI 10.3390/v9090238
Satomi M, 2013, PROKARYOTES GAMMAPRO, P491
Scharek R, 2007, AQUAT MICROB ECOL, V46, P153, DOI 10.3354/ame046153
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schulz KG, 2013, BIOGEOSCIENCES, V10, P161, DOI 10.5194/bg-10-161-2013
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Sommer U, 2008, INT REV HYDROBIOL, V93, P506, DOI 10.1002/iroh.200711039
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thingstad TF, 2008, NATURE, V455, P387, DOI 10.1038/nature07235
Thingstad TF, 2007, J MARINE SYST, V64, P15, DOI 10.1016/j.jmarsys.2006.02.009
Thingstad TF, 2005, ECOL LETT, V8, P675, DOI 10.1111/j.1461-0248.2005.00768.x
Valderrama J., 1995, MANUAL HARMFUL MARIN, P262
Van Wambeke F, 2011, BIOGEOSCIENCES, V8, P1853, DOI 10.5194/bg-8-1853-2011
Weydmann A, 2014, MAR ECOL PROG SER, V501, P41, DOI 10.3354/meps10694
Widder S, 2016, ISME J, V10, P2557, DOI 10.1038/ismej.2016.45
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
Zhang Y, 2014, BIOGEOSCIENCES, V11, P2131, DOI 10.5194/bg-11-2131-2014
Zubkov M, 2007, J PLANKTON RES, V29, P79
NR 78
TC 19
Z9 21
PD NOV
PY 2018
VL 12
IS 11
BP 2694
EP 2705
DI 10.1038/s41396-018-0217-7
UT WOS:000447661300010
DA 2025-07-30
ER
PT J
AU Nogales, B
Aguilo-Ferretjans, MM
Martín-Cardona, C
Lalucat, J
Bosch, R
AF Nogales, Balbina
Aguilo-Ferretjans, M. Mar
Martin-Cardona, Celia
Lalucat, Jorge
Bosch, Rafael
TI Bacterial diversity, composition and dynamics in and around recreational
coastal areas
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB A comparative study on the composition of bacterial communities in a coastal area in the West Mediterranean receiving the impact of recreation-derived activities (from a marina and a beach) was performed by terminal-restriction fragment length polymorphism (T-RFLP) of 16S rDNA along spatial and temporal scales. Interpolation of concentration of hydrophobic compounds, chlorophyll and bacterial cells in seawater over the geography of the sampling area using geographic information systems techniques (GIS) allowed the delineation of two different habitats: bay and marina (with low and high levels of impact respectively), and a transition zone between them. Accordingly, the 16S rDNA T-RFLP profiles of bacterial communities in the area differed mainly spatially, with gradual changes in community composition and structure when approaching the beach and marina. Bacterial communities in impacted areas had higher diversity and equitability, as well as different composition. The main bacterial populations inferred in bay samples, which were members of the Alphaproteobacteria (mainly SAR11 and Roseobacter groups), were replaced by a different population of the Roseobacter clade, and members of the Gammaproteobacteria and Bacteroidetes in more impacted areas. There were also differences in the dynamics of bacterial communities. While temporal variations in bacterial communities in bay samples were lower and mainly determined by temperature, an important factor for the functioning of this ecosystem, variation in impacted areas was more irregular, not so much temperature-driven, and in the case of the transition zone (beach) reflected the use of the coast during warmer periods.
C1 Univ Illes Balears, Dept Biol, Grp Microbiol, Palma de Mallorca 07122, Spain.
RP Nogales, B (corresponding author), Univ Illes Balears, Dept Biol, Grp Microbiol, Palma de Mallorca 07122, Spain.
EM bnogales@uib.es
CR Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Burrough PA, 1986, PRINCIPLES GEOGRAPHI
Chang YJ, 2000, J MICROBIOL METH, V40, P19, DOI 10.1016/S0167-7012(99)00134-7
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cloern JE, 2001, MAR ECOL PROG SER, V210, P223, DOI 10.3354/meps210223
Cochrane G, 2006, NUCLEIC ACIDS RES, V34, pD10, DOI 10.1093/nar/gkj130
Duarte CM, 1999, PROG OCEANOGR, V44, P245, DOI 10.1016/S0079-6611(99)00028-2
Fahy A, 2005, ENVIRON MICROBIOL, V7, P1192, DOI 10.1111/j.1462-2920.2005.00799.x
Ford Timothy Edgcumbe, 2000, Journal of Aquatic Ecosystem Stress and Recovery, V7, P75, DOI 10.1023/A:1009971414055
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Harayama S, 2004, CURR OPIN BIOTECH, V15, P205, DOI 10.1016/j.copbio.2004.04.002
Head IM, 2006, NAT REV MICROBIOL, V4, P173, DOI 10.1038/nrmicro1348
Islam MS, 2004, MAR POLLUT BULL, V48, P624, DOI 10.1016/j.marpolbul.2003.12.004
JEFFREY SW, 1975, BIOCHEM PHYSIOL PFL, V167, P191, DOI 10.1016/s0015-3796(17)30778-3
Kelsey H, 2004, J EXP MAR BIOL ECOL, V298, P197, DOI 10.1016/S0022-0981(03)00359-9
Keough Michael J., 1996, P199, DOI 10.1016/B978-012627255-0/50013-6
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kitsiou D, 2000, SCI TOTAL ENVIRON, V255, P113, DOI 10.1016/S0048-9697(00)00457-5
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Macnaughton SJ, 1999, APPL ENVIRON MICROB, V65, P3566
Maki James S., 1993, P409
Marchesi JR, 1998, APPL ENVIRON MICROB, V64, P795
Osborn AM, 2000, ENVIRON MICROBIOL, V2, P39, DOI 10.1046/j.1462-2920.2000.00081.x
Paerl HW, 2002, ANTON LEEUW INT J G, V81, P487, DOI 10.1023/A:1020561422706
PEARSON WR, 1988, P NATL ACAD SCI USA, V85, P2444, DOI 10.1073/pnas.85.8.2444
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Sala MM, 2002, AQUAT MICROB ECOL, V27, P47, DOI 10.3354/ame027047
Sax DF, 2003, TRENDS ECOL EVOL, V18, P561, DOI 10.1016/S0169-5347(03)00224-6
Schäfer H, 2000, ARCH MICROBIOL, V173, P138, DOI 10.1007/s002039900121
Schauer M, 2000, FEMS MICROBIOL ECOL, V33, P51, DOI 10.1016/S0168-6496(00)00043-X
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Shepard D., 1968, P 1968 23 ACM NAT C, P517, DOI DOI 10.1145/800186.810616
Smith CJ, 2005, FEMS MICROBIOL ECOL, V54, P375, DOI 10.1016/j.femsec.2005.05.002
Snaidr J, 1997, APPL ENVIRON MICROB, V63, P2884, DOI 10.1128/AEM.63.7.2884-2896.1997
Stoner DL, 2001, APPL ENVIRON MICROB, V67, P4324, DOI 10.1128/AEM.67.9.4324-4328.2001
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Underwood A. J., 2000, Journal of Aquatic Ecosystem Stress and Recovery, V7, P3, DOI 10.1023/A:1009983229076
Van Dolah FM, 2000, ENVIRON HEALTH PERSP, V108, P133, DOI 10.1289/ehp.00108s1133
White DL, 2004, J EXP MAR BIOL ECOL, V298, P255, DOI 10.1016/j.jembe.2003.07.001
Yakimov MM, 1998, INT J SYST BACTERIOL, V48, P339, DOI 10.1099/00207713-48-2-339
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 49
TC 49
Z9 58
PD AUG
PY 2007
VL 9
IS 8
BP 1913
EP 1929
DI 10.1111/j.1462-2920.2007.01308.x
UT WOS:000248451600005
DA 2025-07-30
ER
PT J
AU Wu, ZQ
Guo, LY
Wu, Y
Yang, MY
Du, S
Shao, JB
Zhang, ZF
Zhao, YL
AF Wu, Zuqing
Guo, Luyuan
Wu, Ying
Yang, Mingyu
Du, Sen
Shao, Jiabing
Zhang, Zefeng
Zhao, Yanlin
TI Novel phage infecting the Roseobacter CHUG lineage reveals a
diverse and globally distributed phage family
SO MSPHERE
DT Article
AB Bacteriophages play an essential role in shaping the diversity and metabolism of bacterial communities. Marine Roseobacter group is an abundant heterotrophic bacterial group that is involved in many major element cycles, especially carbon and sulfur. Members of the Roseobacter CHUG (Clade Hidden and Underappreciated Globally) lineage are globally distributed and are activated in pelagic marine environments. In this study, we isolated and characterized a phage, CRP-810, that infects the CHUG strain FZCC0198. The genome of CRP-810 was dissimilar to those of other known phages. Additionally, 251 uncultured viral genomes (UViGs) closely related to CRP-810 were obtained from the uncultivated marine viral contig databases. Comparative genomic and phylogenetic analyses revealed that CRP-810 and these related UViGs exhibited conserved genome synteny, representing a new phage family with at least eight subgroups. Most of the CRP-810-type phages contain an integrase gene, and CRP-810 can be integrated into the host genome. Further analysis revealed that three CRP-810-type members were prophages found in the genomes of marine SAR11, Poseidonocella, and Sphingomonadaceae. Finally, viromic read-mapping analysis showed that CRP-810-type phages were globally distributed and displayed distinct biogeographic patterns related to temperature and latitude. Many members with a lower G + C content were mainly distributed in the trade station, whereas members with a higher G + C content were mainly distributed in polar and westerlies station, indicating that the niche differentiation of phages was subject to host adaptation. Collectively, these findings identify a novel phage family and expand our understanding of phylogenetic diversity, evolution, and biogeography of marine phages.
C1 [Wu, Zuqing; Guo, Luyuan; Wu, Ying; Yang, Mingyu; Du, Sen; Shao, Jiabing; Zhang, Zefeng; Zhao, Yanlin] Fujian Agr & Forestry Univ, Coll JunCao Sci & Ecol, Fujian Prov Key Lab Agroecol Proc & Safety Monitor, Fuzhou, Peoples R China.
RP Zhang, ZF; Zhao, YL (corresponding author), Fujian Agr & Forestry Univ, Coll JunCao Sci & Ecol, Fujian Prov Key Lab Agroecol Proc & Safety Monitor, Fuzhou, Peoples R China.
EM zfengbio@126.com; yanlinzhao@fafu.edu.cn
CR Bartlau N, 2022, ISME J, V16, P555, DOI 10.1038/s41396-021-01097-4
Baum L, 2021, ENVIRON MICROBIOL, V23, P2532, DOI 10.1111/1462-2920.15474
Besemer J, 2001, Nucleic Acids Res, V29, P2607
Billerbeck S, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.63, 10.1038/NMICROBIOL.2016.63]
Bischoff V, 2019, ISME J, V13, P1404, DOI 10.1038/s41396-019-0362-7
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Breitbart M, 2007, OCEANOGRAPHY, V20, P135, DOI 10.5670/oceanog.2007.58
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchholz HH, 2023, ISME J, V17, P1660, DOI 10.1038/s41396-023-01466-1
Buchholz HH, 2021, ISME J, V15, P1585, DOI 10.1038/s41396-020-00872-z
Cai LL, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1241-6
Camargo AP, 2023, NUCLEIC ACIDS RES, V51, pD733, DOI 10.1093/nar/gkac1037
Cao Y, 2014, BIOINFORMATICS, V30, P1674, DOI 10.1093/bioinformatics/btu104
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Casjens SR, 2011, NAT REV MICROBIOL, V9, P647, DOI 10.1038/nrmicro2632
Chan PP, 2021, NUCLEIC ACIDS RES, V49, P9077, DOI 10.1093/nar/gkab688
Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
Chu X, 2022, MBIO, V13, DOI 10.1128/mbio.00571-22
Coutinho FH, 2021, PATTERNS, V2, DOI 10.1016/j.patter.2021.100274
Dion MB, 2020, NAT REV MICROBIOL, V18, P125, DOI 10.1038/s41579-019-0311-5
DOI T, 1992, P NATL ACAD SCI USA, V89, P9420, DOI 10.1073/pnas.89.20.9420
Du S, 2024, MICROB GENOMICS, V10, DOI 10.1099/mgen.0.001240
Du S, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000596
Emms DM, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0721-2
Feng XY, 2021, ISME J, V15, P3576, DOI 10.1038/s41396-021-01036-3
Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
Forcone K, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9061115
Fridman S, 2017, NAT MICROBIOL, V2, P1350, DOI 10.1038/s41564-017-0002-9
FUQUA WC, 1994, J BACTERIOL, V176, P269, DOI 10.1128/JB.176.2.269-275.1994
Gao C, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.104680
Gao EB, 2016, GENES-BASEL, V7, DOI 10.3390/genes7100080
Gazitúa MC, 2021, ISME J, V15, P981, DOI 10.1038/s41396-020-00825-6
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Groth AC, 2004, J MOL BIOL, V335, P667, DOI 10.1016/j.jmb.2003.09.082
Hargreaves KR, 2014, Bacteriophage, V4
Hevroni G, 2020, P NATL ACAD SCI USA, V117, P29738, DOI 10.1073/pnas.2010783117
Hood IV, 2016, ELIFE, V5, DOI 10.7554/eLife.14158
Howard-Varona C, 2020, ISME J, V14, P881, DOI 10.1038/s41396-019-0580-z
Huang XY, 2021, ENVIRON MICROBIOL, V23, P3743, DOI 10.1111/1462-2920.15412
Hurwitz BL, 2016, CURR OPIN MICROBIOL, V31, P161, DOI 10.1016/j.mib.2016.04.002
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jaiani E, 2020, MAR DRUGS, V18, DOI 10.3390/md18110558
Jang HB, 2019, NAT BIOTECHNOL, V37, P632, DOI 10.1038/s41587-019-0100-8
Jurgensen SK, 2022, ISME J, V16, P972, DOI 10.1038/s41396-021-01143-1
Katoh K, 2009, METHODS MOL BIOL, V537, P39, DOI 10.1007/978-1-59745-251-9_3
Kieft K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23698-5
Kim D, 2021, J MICROBIOL, V59, P476, DOI 10.1007/s12275-021-1154-0
Lang M., 2020, BIORXIV, DOI DOI 10.1101/2020.03.18.996918
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Liang KYH, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.683109
Liang YT, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01951
Lillig CH, 2008, BBA-GEN SUBJECTS, V1780, P1304, DOI 10.1016/j.bbagen.2008.06.003
Lipps G, 2004, NAT STRUCT MOL BIOL, V11, P157, DOI 10.1038/nsmb723
López-Pérez M, 2019, ENVIRON MICROBIOL, V21, P1980, DOI 10.1111/1462-2920.14462
Luo EL, 2020, ISME J, V14, P1304, DOI 10.1038/s41396-020-0604-8
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Maggio-Hall LA, 2004, MICROBIOL-SGM, V150, P1385, DOI 10.1099/mic.0.26952-0
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Miller ES, 2003, MICROBIOL MOL BIOL R, V67, P86, DOI 10.1128/MMBR.67.1.86-156.2003
Minh BQ, 2020, MOL BIOL EVOL, V37, P1530, DOI 10.1093/molbev/msaa015
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Munson-McGee JH, 2022, NATURE, V612, P764, DOI 10.1038/s41586-022-05505-3
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Nishimura Y, 2017, BIOINFORMATICS, V33, P2379, DOI 10.1093/bioinformatics/btx157
Noronha JM, 2018, CURR SCI INDIA, V115, P2147, DOI 10.18520/cs/v115/i11/2147-2150
Paoli L, 2022, NATURE, V607, P111, DOI [10.1038/s41586-022-04862-3, 10.1393/ncc/i2022-22120-x]
Pleska M, 2018, NAT ECOL EVOL, V2, P359, DOI 10.1038/s41559-017-0424-z
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Puchades C, 2020, NAT REV MOL CELL BIO, V21, P43, DOI 10.1038/s41580-019-0183-6
Qin F, 2022, ISME J, V16, P1363, DOI 10.1038/s41396-021-01183-7
Rihtman B, 2021, CURR BIOL, V31, P3199, DOI 10.1016/j.cub.2021.05.014
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Rong CH, 2022, VIRUSES-BASEL, V14, DOI 10.3390/v14050887
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, ELIFE, V4, DOI 10.7554/eLife.08490
Shelton AN, 2019, ISME J, V13, P789, DOI 10.1038/s41396-018-0304-9
Silpe JE, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2217813119
Silpe JE, 2019, CELL, V176, P268, DOI 10.1016/j.cell.2018.10.059
Söding J, 2005, NUCLEIC ACIDS RES, V33, pW244, DOI 10.1093/nar/gki408
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sullivan MJ, 2011, BIOINFORMATICS, V27, P1009, DOI 10.1093/bioinformatics/btr039
Sun MQ, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.01020-20
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Xu B, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01153-4
Zhai ZQ, 2021, MICROBIOL SPECTR, V9, DOI 10.1128/Spectrum.01239-21
Zhan YC, 2019, ENVIRON MICROBIOL, V21, P1885, DOI 10.1111/1462-2920.14504
Zhang WJ, 2021, BMC GENOMICS, V22, DOI 10.1186/s12864-021-07978-4
Zhang Y, 2016, APPL ENVIRON MICROB, V82, P2100, DOI 10.1128/AEM.03678-15
Zhang ZF, 2023, FRONT MICROBIOL, V14, DOI 10.3389/fmicb.2023.1164101
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhang ZF, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00494-19
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zimmerman AE, 2020, NAT REV MICROBIOL, V18, P21, DOI 10.1038/s41579-019-0270-x
NR 97
TC 2
Z9 2
PD JUL 30
PY 2024
VL 9
IS 7
DI 10.1128/msphere.00458-24
EA JUN 2024
UT WOS:001255329700005
DA 2025-07-30
ER
PT J
AU Vila-Costa, M
Pinhassi, J
Alonso, C
Pernthaler, J
Simó, R
AF Vila-Costa, Maria
Pinhassi, Jarone
Alonso, Cecilia
Pernthaler, Jakob
Simo, Rafel
TI An annual cycle of dimethylsulfoniopropionate-sulfur and leucine
assimilating bacterioplankton in the coastal NW Mediterranean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The contribution of major phylogenetic groups to heterotrophic bacteria assimilating sulfur from dissolved dimethylsulfoniopropionate (DMSP) and assimilating leucine was analysed in surface seawaters from Blanes Bay (NW Mediterranean) over an annual study between March 2003 and April 2004. The percentage of bacteria assimilating DMSP-S showed a strong seasonal pattern, with a steady increase from winter (8 +/- 5%) to summer (23 +/- 3%). The same seasonal pattern was observed for the rate of DMSP-S assimilation. The annual average percentage of DMSP-S-assimilating bacteria (16 +/- 8%) was lower than the corresponding percentage of leucine-assimilating cells (35 +/- 16%), suggesting that not all bacteria synthesizing protein incorporated DMSP-S. Smaller differences between both percentages were recorded in summer. Members of the Alphaproteobacteria (Roseobacter and SAR11) and Gammaproteobacteria groups accounted for most of bacterial DMSP-S-assimilating cells over the year. All major bacterial groups showed an increase of the percentage of cells assimilating DMSP-S during summer, and contributed to the increase of the DMSP-S assimilation rate in this period. In these primarily P-limited waters, enrichment with P + DMSP resulted in a stimulation of bacterial heterotrophic production comparable to, or higher than, that with P + glucose in summer, while during the rest of the year P + glucose induced a stronger response. This suggested that DMSP was more important a S and C source for bacteria in the warm stratified season. Overall, our results suggest that DMSP-S assimilation is controlled by the contribution of DMSP to S (and C) sources rather than by the phylogenetic composition of the bacterioplankton.
C1 CSIC, Inst Ciencies Mar, E-08003 Barcelona, Catalonia, Spain.
Univ Kalmar, Dept Biol & Environm Sci, SE-39182 Kalmar, Sweden.
Max Planck Inst Marine Microbiol, D-28359 Bremen, Germany.
RP Simó, R (corresponding author), CSIC, Inst Ciencies Mar, Pg Maritim Barceloneta 37-49, E-08003 Barcelona, Catalonia, Spain.
EM rsimo@icm.csic.es
CR Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Ansede JH, 2001, APPL ENVIRON MICROB, V67, P1210, DOI 10.1128/AEM.67.3.1210-1217.2001
BATES TS, 1994, J GEOPHYS RES-OCEANS, V99, P7835, DOI 10.1029/93JC02782
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Burkill PH, 2002, DEEP-SEA RES PT II, V49, P2863, DOI 10.1016/S0967-0645(02)00061-9
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Dacey JWH, 1998, DEEP-SEA RES PT I, V45, P2085, DOI 10.1016/S0967-0637(98)00048-X
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
LECK C, 1990, J GEOPHYS RES-OCEANS, V95, P3353, DOI 10.1029/JC095iC03p03353
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Malin G, 1997, J PHYCOL, V33, P889, DOI 10.1111/j.0022-3646.1997.00889.x
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Mary I, 2006, AQUAT MICROB ECOL, V42, P119, DOI 10.3354/ame042119
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Mou XZ, 2005, APPL ENVIRON MICROB, V71, P1405, DOI 10.1128/AEM.71.3.1405-1416.2005
NEEF, 1997, THESIS U NUNCHEN MUN
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Servais P, 2003, AQUAT MICROB ECOL, V33, P41, DOI 10.3354/ame033041
Simó R, 1999, NATURE, V402, P396, DOI 10.1038/46516
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Simo R, 1996, ANAL CHEM, V68, P1493, DOI 10.1021/ac9510907
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Smith EM, 2003, AQUAT MICROB ECOL, V31, P203, DOI 10.3354/ame031203
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Turner SM, 1996, MAR CHEM, V54, P245, DOI 10.1016/0304-4203(96)00028-X
Uher G, 2000, MAR CHEM, V69, P277, DOI 10.1016/S0304-4203(00)00009-8
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
VISSCHER PT, 1992, MAR ECOL PROG SER, V89, P293, DOI 10.3354/meps089293
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 62
TC 47
Z9 51
PD OCT
PY 2007
VL 9
IS 10
BP 2451
EP 2463
DI 10.1111/j.1462-2920.2007.01363.x
UT WOS:000249222600008
DA 2025-07-30
ER
PT J
AU Siallagan, ZL
Fadli, M
de Fretes, CE
Opier, RDA
Susanto, RD
Wei, ZX
Suhardi, VSH
Nugrahapraja, H
Radjasa, OK
Dwivany, FM
AF Siallagan, Zen Ladestam
Fadli, Muhammad
de Fretes, Charlie Ester
Opier, Rafidha Dh Ahmad
Susanto, R. Dwi
Wei, Zexun
Suhardi, V. Sri Harjati
Nugrahapraja, Husna
Radjasa, Ocky Karna
Dwivany, Fenny M.
TI Metagenomic analysis of deep-sea bacterial communities in the Makassar
and Lombok Straits
SO SCIENTIFIC REPORTS
DT Article
AB The extreme conditions of the deep-sea environment, including limited light, low oxygen levels, high pressure, and nutrient scarcity, create a natural habitat for deep-sea bacteria. These remarkable microorganisms have developed unique strategies to survive and adapt to their surroundings. However, research on the diversity of deep-sea bacteria, both culture-dependent and culture-independent, in Indonesian waters remains insufficient. This study focused on exploring the biodiversity of deep-sea bacteria, specifically in the Makassar and Lombok Strait, the main Indonesian throughflow pathway characterized by relatively fertile water, which serves as an important deep-sea region. High-throughput DNA sequencing of full-length 16S rRNA was employed to construct a genomic database. The results of the bioinformatic analysis revealed that two stations, 48 and 50 (Makassar Strait), exhibited a more similar community structure of deep-sea bacteria than did station 33 (Lombok Strait). Among the predominant phyla found at a depth of 1000 m, the top ten were Proteobacteria, Firmicutes, Bacteroidetes, Actinobacteria, Planctomycetes, Acidobacteria, Nitrospinae, Verrucomicrobia, Candidatus Melainabacteria, and Cyanobacteria. Furthermore, the genera Colwellia, Moritella, Candidatus Pelagibacter, Alteromonas, and Psychrobacter consistently appeared at all three stations, albeit with varying relative abundance values. These bacterial genera share common characteristics, such as psychrophilic, halophilic, and piezophilic tendencies, and are commonly found in deep-sea ecosystem. The environmental conditions at a depth of 1000 m were relatively stable, with an average pressure 10 MPa, temperature 4.68 degrees C, salinity 34.58 PSU, pH 8.06, chlorophyll-a 0.29 mu g/L, nitrate 3.19 mu mol/L, phosphate 6.32 mu mol/L and dissolved oxygen (DO) 2.90 mg/L. The bacterial community structures at the three sampling stations located at the same depth (1000 m) exhibited similarities, as indicated by the closely aligned similarity index values.
C1 [Siallagan, Zen Ladestam; Nugrahapraja, Husna; Dwivany, Fenny M.] Inst Teknol Bandung, Sch Life Sci & Technol, Doctoral Program Biol, Jl Ganesha 10, Bandung 40132, Indonesia.
[Siallagan, Zen Ladestam; Fadli, Muhammad; de Fretes, Charlie Ester; Opier, Rafidha Dh Ahmad; Radjasa, Ocky Karna] Natl Res & Innovat Agcy, Res Ctr Deep Sea, Jakarta 14430, Indonesia.
[Suhardi, V. Sri Harjati; Nugrahapraja, Husna; Radjasa, Ocky Karna; Dwivany, Fenny M.] Inst Teknol Bandung, Ctr Biosci & Biotechnol, Jl Ganesha 10, Bandung 40132, Indonesia.
[Susanto, R. Dwi] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA.
[Wei, Zexun] Minist Nat Resources, Inst Oceanog 1, Qingdao, Peoples R China.
[Wei, Zexun] Minist Nat Resources, Key Lab Marine Sci & Numer Modeling, Qingdao, Peoples R China.
[Fadli, Muhammad] Univ Pattimura, Ctr Collaborat Res Aquat Ecosyst Eastern Indonesia, Ambon 97233, Indonesia.
RP Siallagan, ZL; Dwivany, FM (corresponding author), Inst Teknol Bandung, Sch Life Sci & Technol, Doctoral Program Biol, Jl Ganesha 10, Bandung 40132, Indonesia.; Siallagan, ZL; Radjasa, OK (corresponding author), Natl Res & Innovat Agcy, Res Ctr Deep Sea, Jakarta 14430, Indonesia.; Radjasa, OK; Dwivany, FM (corresponding author), Inst Teknol Bandung, Ctr Biosci & Biotechnol, Jl Ganesha 10, Bandung 40132, Indonesia.
EM zenl001@brin.go.id; ocky001@brin.go.id; fennym@itb.ac.id
CR Ari J., 2005, Coupling between the open ocean and the coastal upwelling region off northwest Africa: Water recirculation and offshore pumping of organic matter, V54, P3
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Atmadipoera A, 2009, DEEP-SEA RES PT I, V56, P1942, DOI 10.1016/j.dsr.2009.06.004
Bahram M, 2019, ENV MICROBIOL REP, V11, P487, DOI 10.1111/1758-2229.12684
Barnes NM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.687860
Busch K, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32684-4
Corinaldesi C, 2015, FRONT MAR SCI, V2, DOI 10.3389/fmars.2015.00017
da Silva Marcus Adonai Castro, 2013, Springerplus, V2, P127, DOI 10.1186/2193-1801-2-127
De Coster W, 2018, BIOINFORMATICS, V34, P2666, DOI 10.1093/bioinformatics/bty149
Dionisi HM, 2012, REV ARGENT MICROBIOL, V44, P49, DOI 10.1590/S0325-75412012000100010
Fortunato CS, 2016, ISME J, V10, P1925, DOI 10.1038/ismej.2015.258
Gao P, 2021, J OCEANOL LIMNOL, V39, P582, DOI 10.1007/s00343-020-9343-y
Gordon AL, 2019, J GEOPHYS RES-OCEANS, V124, P3724, DOI 10.1029/2018JC014502
Ha T., 2006, J. Jpn. Soc. Extrem, V5, P27
Hamzah F., 2024, Indian Ocean, V2, P1
Han D, 2015, DEEP-SEA RES PT II, V120, P52, DOI 10.1016/j.dsr2.2015.01.018
Iversen M. H., 2023, Carbon export in the ocean: A biologist's perspective, P357
Kim D, 2016, GENOME RES, V26, P1721, DOI 10.1101/gr.210641.116
Kimes NE, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00050
Kodzius R, 2015, MAR GENOM, V24, P21, DOI 10.1016/j.margen.2015.07.001
Li X, 2005, TRENDS BIOTECHNOL, V23, P539, DOI 10.1016/j.tibtech.2005.08.006
Lin GL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154315
Lopatina A, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00398
Mahapatra GP, 2020, CURR MICROBIOL, V77, P645, DOI 10.1007/s00284-019-01698-5
Maruyama A, 2000, INT J SYST EVOL MICR, V50, P835, DOI 10.1099/00207713-50-2-835
Mostafa YS, 2021, MOLECULES, V26, DOI 10.3390/molecules26071963
Nogi Y, 2004, INT J SYST EVOL MICR, V54, P1627, DOI 10.1099/ijs.0.03049-0
Platzer A, 2018, J INTEGR BIOINFORMAT, V15, DOI 10.1515/jib-2017-0063
Raiyani NM, 2020, GENOMICS, V112, P4361, DOI 10.1016/j.ygeno.2020.07.024
Review A. M., 2019, Properties and applications of extremozymes from deep-sea extremophilic microorganisms
Ricotta C., 2017, On some properties of the Bray-Curtis dissimilarity and their ecological meaning, V31, P201
Science E., 2021, Turbulent mixing process in the Lombok Strait Turbulent mixing process in the Lombok Strait, DOI [10.1088/1755-1315/944/1/012067, DOI 10.1088/1755-1315/944/1/012067]
Sea-Bird Electronics, 2017, Software Manual Seasoft V2: SBE Data Processing, P177
Seo HJ, 2005, INT J SYST EVOL MICR, V55, P1661, DOI 10.1099/ijs.0.63338-0
Siallagan ZL., 2023, Biodiversitas, V24, P1356, DOI [10.13057/biodiv/d240304, DOI 10.13057/biodiv/d240304]
Steinert G, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00716
Susanto R. D., 2022, Seasonal and interannual variability of tidal mixing signatures in Indonesian seas from high-resolution sea surface temperature
Susanto R. D., 2005, Velocity and transport of the Makassar Strait throughflow, V110, P1
Susanto RD, 2016, OCEANOGRAPHY, V29, P264, DOI 10.5670/oceanog.2016.31
Susanto RD, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC008096
Techtmann SM, 2016, FRONT ENV SCI-SWITZ, V4, DOI 10.3389/fenvs.2016.00033
Wick RR, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1727-y
Wietz M, 2022, MICROBIOL-SGM, V168, DOI 10.1099/mic.0.001236
Xie Z., 2020, A novel Halomonas species isolated from a deep-sea sediment sample of the new Britain trench exhibits high anti-oxidative stress capability, P2925, DOI [10.46427/gold2020.2925, DOI 10.46427/GOLD2020.2925]
Xu Y, 2003, INT J SYST EVOL MICR, V53, P533, DOI 10.1099/ijs.0.02228-0
Yan FF, 2020, INT J SYST EVOL MICR, V70, P2560, DOI 10.1099/ijsem.0.004069
Zeng X, 2021, MAR LIFE SCI TECH, V3, P204, DOI 10.1007/s42995-020-00086-4
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
NR 48
TC 2
Z9 2
PD OCT 26
PY 2024
VL 14
IS 1
AR 25472
DI 10.1038/s41598-024-74118-9
UT WOS:001343699800101
DA 2025-07-30
ER
PT J
AU Shilova, IN
Robidart, JC
Tripp, HJ
Turk-Kubo, K
Wawrik, B
Post, AF
Thompson, AW
Ward, B
Hollibaugh, JT
Millard, A
Ostrowski, M
Scanlan, DJ
Paerl, RW
Stuart, R
Zehr, JP
AF Shilova, Irina N.
Robidart, Julie C.
Tripp, H. James
Turk-Kubo, Kendra
Wawrik, Boris
Post, Anton F.
Thompson, Anne W.
Ward, Bess
Hollibaugh, James T.
Millard, Andy
Ostrowski, Martin
Scanlan, David J.
Paerl, Ryan W.
Stuart, Rhona
Zehr, Jonathan P.
TI A microarray for assessing transcription from pelagic marine microbial
taxa
SO ISME JOURNAL
DT Article
AB Metagenomic approaches have revealed unprecedented genetic diversity within microbial communities across vast expanses of the world's oceans. Linking this genetic diversity with key metabolic and cellular activities of microbial assemblages is a fundamental challenge. Here we report on a collaborative effort to design MicroTOOLs (Microbiological Targets for Ocean Observing Laboratories), a high-density oligonucleotide microarray that targets functional genes of diverse taxa in pelagic and coastal marine microbial communities. MicroTOOLs integrates nucleotide sequence information from disparate data types: genomes, PCR-amplicons, metagenomes, and metatranscriptomes. It targets 19 400 unique sequences over 145 different genes that are relevant to stress responses and microbial metabolism across the three domains of life and viruses. MicroTOOLs was used in a proof-of-concept experiment that compared the functional responses of microbial communities following Fe and P enrichments of surface water samples from the North Pacific Subtropical Gyre. We detected transcription of 68% of the gene targets across major taxonomic groups, and the pattern of transcription indicated relief from Fe limitation and transition to N limitation in some taxa. Prochlorococcus (eHLI), Synechococcus (sub-cluster 5.3) and Alphaproteobacteria SAR11 clade (HIMB59) showed the strongest responses to the Fe enrichment. In addition, members of uncharacterized lineages also responded. The MicroTOOLs microarray provides a robust tool for comprehensive characterization of major functional groups of microbes in the open ocean, and the design can be easily amended for specific environments and research questions.
C1 [Shilova, Irina N.; Robidart, Julie C.; Turk-Kubo, Kendra; Zehr, Jonathan P.] Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA.
[Tripp, H. James] DOE Joint Genome Inst, Walnut Creek, CA USA.
[Wawrik, Boris] Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA.
[Post, Anton F.] Marine Biol Lab, Woods Hole, MA 02543 USA.
[Thompson, Anne W.] BD Biosci, Adv Cytometry Grp, Seattle, WA USA.
[Ward, Bess] Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA.
[Hollibaugh, James T.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Millard, Andy; Ostrowski, Martin; Scanlan, David J.] Univ Warwick, Dept Marine Microbiol, Coventry CV4 7AL, W Midlands, England.
[Paerl, Ryan W.] Univ Calif San Diego, Marine Biol Res Div, San Diego, CA 92103 USA.
[Stuart, Rhona] Lawrence Livermore Natl Lab, Livermore, CA USA.
RP Shilova, IN (corresponding author), Univ Calif Santa Cruz, Dept Ocean Sci, 1156 High St, Santa Cruz, CA 95064 USA.
EM iirina@ucsc.edu
CR Abell GCJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0051542
Ahlgren NA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00213
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Armbrust EV, 2004, SCIENCE, V306, P79, DOI 10.1126/science.1101156
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
BAGG A, 1987, BIOCHEMISTRY-US, V26, P5471, DOI 10.1021/bi00391a039
Bai SJ, 2013, APPL MICROBIOL BIOT, V97, P7035, DOI 10.1007/s00253-012-4496-z
BAUER DF, 1972, J AM STAT ASSOC, V67, P687, DOI 10.2307/2284469
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Björkman K, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00189
Bouskill NJ, 2011, ENVIRON MICROBIOL, V13, P872, DOI 10.1111/j.1462-2920.2010.02362.x
Bowler C, 2008, NATURE, V456, P239, DOI 10.1038/nature07410
Boyle EA, 2005, GEOCHIM COSMOCHIM AC, V69, P933, DOI 10.1016/j.gca.2004.07.034
Brazma A, 2001, NAT GENET, V29, P365, DOI 10.1038/ng1201-365
Brodie EL, 2006, APPL ENVIRON MICROB, V72, P6288, DOI 10.1128/AEM.00246-06
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bulow SE, 2008, ENVIRON MICROBIOL, V10, P3057, DOI 10.1111/j.1462-2920.2008.01765.x
CEMBELLA AD, 1984, CRC CR REV MICROBIOL, V10, P317
Chen F, 2004, AQUAT MICROB ECOL, V36, P153, DOI 10.3354/ame036153
Chung WH, 2005, BIOINFORMATICS, V21, P4092, DOI 10.1093/bioinformatics/bti673
Church MJ, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003418
Church MJ, 2005, APPL ENVIRON MICROB, V71, P5362, DOI 10.1128/AEM.71.9.5362-5370.2005
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dugat-Bony E, 2012, ENVIRON MICROBIOL, V14, P356, DOI 10.1111/j.1462-2920.2011.02559.x
Dupont CL, 2008, APPL ENVIRON MICROB, V74, P23, DOI 10.1128/AEM.01007-07
Dyhrman ST, 2006, APPL ENVIRON MICROB, V72, P1452, DOI 10.1128/AEM.72.2.1452-1458.2006
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuller NJ, 2005, LIMNOL OCEANOGR, V50, P363, DOI 10.4319/lo.2005.50.1.0363
Gautier L, 2004, BIOINFORMATICS, V20, P307, DOI 10.1093/bioinformatics/btg405
Gentleman RC, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-10-r80
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grabowski MNW, 2008, AQUAT MICROB ECOL, V52, P175, DOI 10.3354/ame01209
He ZL, 2007, ISME J, V1, P67, DOI 10.1038/ismej.2007.2
He ZL, 2010, ISME J, V4, P1167, DOI 10.1038/ismej.2010.46
Hernández JA, 2006, J MOL BIOL, V355, P325, DOI 10.1016/j.jmb.2005.10.079
Hewson I, 2010, ENVIRON MICROBIOL, V12, P1940, DOI 10.1111/j.1462-2920.2010.02198.x
Holtzendorff J, 2002, ENVIRON MICROBIOL, V4, P644, DOI 10.1046/j.1462-2920.2002.00347.x
Huang SJ, 2012, ISME J, V6, P285, DOI 10.1038/ismej.2011.106
Huang Y, 2010, BIOINFORMATICS, V26, P680, DOI 10.1093/bioinformatics/btq003
Hutchins DA, 1999, NATURE, V400, P858, DOI 10.1038/23680
Ilikchyan IN, 2009, ENVIRON MICROBIOL, V11, P1314, DOI 10.1111/j.1462-2920.2009.01869.x
Irizarry RA, 2003, BIOSTATISTICS, V4, P249, DOI 10.1093/biostatistics/4.2.249
JANSSON M, 1988, HYDROBIOLOGIA, V170, P177, DOI 10.1007/BF00024904
Kamennaya NA, 2011, APPL ENVIRON MICROB, V77, P291, DOI 10.1128/AEM.01272-10
Karl D, 1997, NATURE, V388, P533, DOI 10.1038/41474
Karl DM, 2008, MAR ECOL PROG SER, V364, P257, DOI 10.3354/meps07547
Karl DM, 2001, DEEP-SEA RES PT II, V48, P1529, DOI 10.1016/S0967-0645(00)00152-1
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Kolber ZS, 1998, BBA-BIOENERGETICS, V1367, P88, DOI 10.1016/S0005-2728(98)00135-2
LAWS EA, 1991, DEEP-SEA RES, V38, P143, DOI 10.1016/0198-0149(91)90059-O
Lemire A., 2011, J Biomol Tech, V22, pS46
Li C, 2001, P NATL ACAD SCI USA, V98, P31, DOI 10.1073/pnas.011404098
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Lindell D, 2001, APPL ENVIRON MICROB, V67, P3340, DOI 10.1128/AEM.67.8.3340-3349.2001
Lu ZM, 2012, ISME J, V6, P451, DOI 10.1038/ismej.2011.91
Mann EL, 2000, LIMNOL OCEANOGR, V45, P1067, DOI 10.4319/lo.2000.45.5.1067
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Mason OU, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015399
MAYER JA, 1979, NATURE, V281, P299, DOI 10.1038/281299a0
Mella-Flores D, 2011, BIOGEOSCIENCES, V8, P2785, DOI 10.5194/bg-8-2785-2011
MILLIGAN KLD, 1994, SCIENCE, V266, P805, DOI 10.1126/science.266.5186.805
Moisander PH, 2007, ENVIRON MICROBIOL, V9, P1823, DOI 10.1111/j.1462-2920.2007.01304.x
Moisander PH, 2006, ENVIRON MICROBIOL, V8, P1721, DOI 10.1111/j.1462-2920.2006.01108.x
Moisander PH, 2012, ISME J, V6, P733, DOI 10.1038/ismej.2011.152
Moisander PH, 2010, SCIENCE, V327, P1512, DOI 10.1126/science.1185468
Moore JK, 2006, TELLUS B, V58, P560, DOI 10.1111/j.1600-0889.2006.00209.x
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Mosier AC, 2011, METHOD ENZYMOL, V486, P205, DOI [10.1016/S0076-6879(11)86009-X, 10.1016/B978-0-12-381294-0.00009-2]
Mulholland MR, 2004, AQUAT MICROB ECOL, V37, P85, DOI 10.3354/ame037085
Mulholland MR, 2001, LIMNOL OCEANOGR, V46, P436, DOI 10.4319/lo.2001.46.2.0436
Neidhardt F.C., 1996, ESCHERICHIA COLI SAL, P13
Orchard ED, 2009, ENVIRON MICROBIOL, V11, P2400, DOI 10.1111/j.1462-2920.2009.01968.x
Paerl RW, 2012, ENVIRON MICROBIOL, V14, P580, DOI 10.1111/j.1462-2920.2011.02594.x
Paerl RW, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00059
Palenik B, 2006, P NATL ACAD SCI USA, V103, P13555, DOI 10.1073/pnas.0602963103
Post AF, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00131
Poulsen N, 2005, FEBS J, V272, P3413, DOI 10.1111/j.1742-4658.2005.04760.x
Rhee SK, 2004, APPL ENVIRON MICROB, V70, P4303, DOI 10.1128/AEM.70.7.4303-4317.2004
Rich VI, 2008, ENVIRON MICROBIOL, V10, P506, DOI 10.1111/j.1462-2920.2007.01471.x
Rich VI, 2011, ENVIRON MICROBIOL, V13, P116, DOI 10.1111/j.1462-2920.2010.02314.x
Rinta-Kanto JM, 2011, ENVIRON MICROBIOL, V13, P453, DOI 10.1111/j.1462-2920.2010.02350.x
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Scanlan DJ, 2002, FEMS MICROBIOL ECOL, V40, P1, DOI 10.1111/j.1574-6941.2002.tb00930.x
Scanlan DJ, 1996, J APPL PHYCOL, V8, P565, DOI 10.1007/BF02186337
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Singh AK, 2003, PLANT PHYSIOL, V132, P1825, DOI 10.1104/pp.103.024018
Smith MW, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013312
Smyth GK, 2005, STAT BIOL HEALTH, P397, DOI 10.1007/0-387-29362-0_23
Song BK, 2004, J PHYCOL, V40, P721, DOI 10.1111/j.1529-8817.2004.03078.x
Stuart RK, 2009, APPL ENVIRON MICROB, V75, P5047, DOI 10.1128/AEM.00271-09
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Sun SL, 2011, NUCLEIC ACIDS RES, V39, pD546, DOI 10.1093/nar/gkq1102
SUNDA WG, 1991, NATURE, V351, P55, DOI 10.1038/351055a0
Sylvan JB, 2007, LIMNOL OCEANOGR, V52, P2679, DOI 10.4319/lo.2007.52.6.2679
Sylvan JB, 2011, ESTUAR COAST, V34, P1220, DOI 10.1007/s12237-011-9415-5
Taroncher-Oldenburg G, 2003, APPL ENVIRON MICROB, V69, P1159, DOI 10.1128/AEM.69.2.1159-1171.2003
Tetu SG, 2009, ISME J, V3, P835, DOI 10.1038/ismej.2009.31
Thompson AW, 2011, ISME J, V5, P1580, DOI 10.1038/ismej.2011.49
Tiquia SM, 2004, BIOTECHNIQUES, V36, P664, DOI 10.2144/04364RR02
Tolonen AC, 2006, MOL SYST BIOL, V2, DOI 10.1038/msb4100087
Tusher VG, 2001, P NATL ACAD SCI USA, V98, P5116, DOI 10.1073/pnas.091062498
Vogel J, 2003, NUCLEIC ACIDS RES, V31, P2890, DOI 10.1093/nar/gkg398
Ward BB, 2007, ENVIRON MICROBIOL, V9, P2522, DOI 10.1111/j.1462-2920.2007.01371.x
Watkins-Brandt KS, 2011, MAR ECOL PROG SER, V432, P17, DOI 10.3354/meps09147
Wawrik B, 2012, FEMS MICROBIOL ECOL, V79, P400, DOI 10.1111/j.1574-6941.2011.01226.x
Webb EA, 2001, APPL ENVIRON MICROB, V67, P5444, DOI 10.1128/AEM.67.12.5444-5452.2001
White AE, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2007JC004129
Wu L, 2008, APPL ENVIRON MICROB, V74, P4516, DOI 10.1128/AEM.02751-07
Wu LY, 2001, APPL ENVIRON MICROB, V67, P5780, DOI 10.1128/AEM.67.12.5780-5790.2001
Xie J, 2011, APPL ENVIRON MICROB, V2011, P3, DOI DOI 10.1093/JMCB/MJQ047
Yergeau E, 2007, ISME J, V1, P163, DOI 10.1038/ismej.2007.24
Zehr JP, 2007, LIMNOL OCEANOGR, V52, P169, DOI 10.4319/lo.2007.52.1.0169
Zhou AF, 2013, ENVIRON SCI TECHNOL, V47, P9841, DOI 10.1021/es4018656
NR 116
TC 27
Z9 29
PD JUL
PY 2014
VL 8
IS 7
BP 1476
EP 1491
DI 10.1038/ismej.2014.1
UT WOS:000338213900012
DA 2025-07-30
ER
PT J
AU Shi, ZY
Ma, LL
Wang, YY
Liu, J
AF Shi, Ziyue
Ma, Lili
Wang, Yingying
Liu, Jie
TI Abundant and rare bacteria in anthropogenic estuary: Community
co-occurrence and assembly patterns
SO ECOLOGICAL INDICATORS
DT Article
AB In estuary, bacteria are critically vital to ecosystem function and sustainability. However, the effect of geographic distance and its related factors (i.e., salinity and nutrients) on bacterial diversity, co-occurrence, as well as community assembly on the abundant and rare species scale remained to be discussed. In this study, we deci-phered the bacterial dynamics and ecological processes in the anthropogenic estuary of the Haihe River, in China. The results revealed that salinity was the major abiotic factor to shape bacterial community composition, diversity, and network complexity, and the role of biotic cytometric characteristics was considerable as well. Furthermore, the salinity gradient tended to select bacteria with low nucleic acid (LNA) such as Candidatus Pelagibacter and Longivirga, and abundant bacteria were more sensitive to the salinity gradient in comparison with rare ones. The similar keystone number and network topology values indicated that both abundant and rare bacteria played important ecological functions in degrading pollutants, developing co-occurrence networks, and maintaining compositional stability and complexity. In addition, drift and dispersion limitation dominated the ecological processes in the community assembly, suggesting that although salinity caused the migration of species, its ecological role was still weaker than that of stochastic processes. Further, niche differentiation contributed to different stochastic components of abundant and rare species. In high-salinity areas, rare bacteria with small population sizes but high diversity were enriched, which made the bacterial community more affected by ecological drift. Our study illustrated the different responses of abundant and rare bacteria to salinity and the assembly process of bacterial communities in anthropogenic estuary, deepening the understanding of their ecological processes in the estuarine ecosystem.
C1 [Shi, Ziyue; Liu, Jie] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Collaborat Innovat Ctr Western Ecol Safety, Ctr Grassland Microbiome,State Key Lab Herbage Imp, Lanzhou 730000, Peoples R China.
[Wang, Yingying; Liu, Jie] Nankai Univ, Coll Environm Sci & Engn, Key Lab Pollut Proc & Environm Criteria, Minist Educ, Tianjin 300071, Peoples R China.
[Ma, Lili] Southwest Petr Univ, Coll Chem & Chem Engn, Chengdu 610500, Sichuan, Peoples R China.
[Wang, Yingying] Nankai Univ, Coll Environm Sci & Engn, 94 Weijin Rd, Tianjin 300071, Peoples R China.
[Liu, Jie] 222 TianShui Rd South, Lanzhou, Gansu, Peoples R China.
RP Wang, YY (corresponding author), Nankai Univ, Coll Environm Sci & Engn, 94 Weijin Rd, Tianjin 300071, Peoples R China.; Liu, J (corresponding author), 222 TianShui Rd South, Lanzhou, Gansu, Peoples R China.
EM wangyy@nankai.edu.cn; jieliu@lzu.edu.cn
CR Aburto A, 2011, ANN MICROBIOL, V61, P553, DOI 10.1007/s13213-010-0173-6
Ahmad M, 2021, ENVIRON POLLUT, V289, DOI 10.1016/j.envpol.2021.117863
Ahmad M, 2019, J HAZARD MATER, V380, DOI 10.1016/j.jhazmat.2019.120863
Bandh S.A, 2019, FRESHWATER MICROBIOL, P393, DOI [10.1016/B978-0-12-817495-1.00010-4, DOI 10.1016/B978-0-12-817495-1.00010-4]
Bernardet J.F., 2006, Prokaryotes, V7, P481, DOI [10.1007/0-387-30747-817, DOI 10.1007/0-387-30747-817]
Birch H, 2022, ENVIRON SCI TECHNOL, V56, P293, DOI 10.1021/acs.est.1c05583
Caron DA, 2009, AQUAT MICROB ECOL, V57, P227, DOI 10.3354/ame01352
Chi ZF, 2021, SCI TOTAL ENVIRON, V773, DOI 10.1016/j.scitotenv.2021.145673
Cohen JE, 2003, P NATL ACAD SCI USA, V100, P1781, DOI 10.1073/pnas.232715699
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
Duan L, 2022, ENVIRON RES, V212, DOI 10.1016/j.envres.2022.113376
Farjalla VF, 2012, ECOLOGY, V93, P1752, DOI 10.1890/11-1144.1
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Fine PVA, 2011, ECOGRAPHY, V34, P552, DOI 10.1111/j.1600-0587.2010.06548.x
Gan CD, 2022, J HAZARD MATER, V429, DOI 10.1016/j.jhazmat.2021.128032
Ghuneim LAJ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01971
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gu YB, 2022, ECOL INDIC, V143, DOI 10.1016/j.ecolind.2022.109355
Guo HP, 2022, NPJ BIOFILMS MICROBI, V8, DOI 10.1038/s41522-022-00288-x
Herlambang A, 2021, AQUAC RES, V52, P5566, DOI 10.1111/are.15432
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hu W, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.900669
Huang J, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.151390
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Jia X, 2018, TRENDS MICROBIOL, V26, P738, DOI 10.1016/j.tim.2018.02.011
Jiang PL, 2018, SCI TOTAL ENVIRON, V624, P48, DOI 10.1016/j.scitotenv.2017.12.105
Jiao S, 2020, ENVIRON MICROBIOL, V22, P1052, DOI 10.1111/1462-2920.14815
Jung HS, 2017, INT J SYST EVOL MICR, V67, P1431, DOI 10.1099/ijsem.0.001830
Konopka A, 2015, ISME J, V9, P1488, DOI 10.1038/ismej.2014.251
Lai YP, 2022, SCI TOTAL ENVIRON, V842, DOI 10.1016/j.scitotenv.2022.156774
Liang SH, 2011, J HAZARD MATER, V198, P323, DOI 10.1016/j.jhazmat.2011.10.050
Liu J, 2019, ENVIRON INT, V131, DOI 10.1016/j.envint.2019.104998
Liu J, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0153678
Liu JX, 2018, WATER RES, V133, P99, DOI 10.1016/j.watres.2018.01.014
Liu Y, 2022, SCI TOTAL ENVIRON, V834, DOI 10.1016/j.scitotenv.2022.155382
Liu Y, 2020, J MICROBIOL, V58, P92, DOI 10.1007/s12275-020-9405-z
Logares R, 2014, CURR BIOL, V24, P813, DOI 10.1016/j.cub.2014.02.050
Lu L, 2022, SCI TOTAL ENVIRON, V830, DOI 10.1016/j.scitotenv.2022.154739
Lu MQ, 2022, ENVIRON POLLUT, V308, DOI 10.1016/j.envpol.2022.119572
Luan L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-20271-4
Luef B, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7372
Ma LL, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00250
Ma LL, 2013, BIOMED RES INT, V2013, DOI 10.1155/2013/526362
Maistrenko OM, 2020, ISME J, V14, P1247, DOI 10.1038/s41396-020-0600-z
McLean JS, 2013, P NATL ACAD SCI USA, V110, pE2390, DOI 10.1073/pnas.1219809110
Mercado JV, 2022, WATER RES, V221, DOI 10.1016/j.watres.2022.118754
Morriën E, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14349
Ning DL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18560-z
Parvathi A, 2021, ENVIRON SCI POLLUT R, V28, P50579, DOI 10.1007/s11356-021-14263-0
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Pishgar R, 2020, WATER RES, V168, DOI 10.1016/j.watres.2019.115151
Przulj N, 2016, SCIENCE, V353, P123, DOI 10.1126/science.aah3449
Rosindell J, 2012, TRENDS ECOL EVOL, V27, P203, DOI 10.1016/j.tree.2012.01.004
Sauret C, 2014, ENVIRON POLLUT, V194, P246, DOI 10.1016/j.envpol.2014.07.024
Shu DT, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145737
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
Soininen J, 2013, ECOLOGY, V94, P660, DOI 10.1890/12-0777.1
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Tan QY, 2021, J HAZARD MATER, V416, DOI 10.1016/j.jhazmat.2021.126085
Tomasek A, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02304
Tripathi BM, 2018, ISME J, V12, P1072, DOI 10.1038/s41396-018-0082-4
Volkoff SJ, 2022, APPL MICROBIOL BIOT, V106, P1715, DOI 10.1007/s00253-021-11754-5
Wagg C, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12798-y
Wang JN, 2021, ENVIRON MICROBIOL, V23, P2578, DOI 10.1111/1462-2920.15480
Wang YS, 2019, CATENA, V182, DOI 10.1016/j.catena.2019.104168
Wiens JJ, 2010, ECOL LETT, V13, P1310, DOI 10.1111/j.1461-0248.2010.01515.x
Wolanski E., 2016, Estuarine Ecohydrology, V2nd edn, P157, DOI DOI 10.1016/B978-0-444-63398-9.00005-2
Wu WX, 2017, ENVIRON MICROBIOL, V19, P287, DOI 10.1111/1462-2920.13606
Wu YX, 2021, WATER RES, V204, DOI 10.1016/j.watres.2021.117605
Xun WB, 2021, MICROBIOME, V9, DOI 10.1186/s40168-020-00985-9
Yang Y, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156334
Yuan MM, 2021, NAT CLIM CHANGE, V11, P343, DOI 10.1038/s41558-021-00989-9
Zeng J, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105491
Zhang GJ, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0610-5
Zhang HX, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01165
Zhang KP, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00225-18
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhang ZQ, 2022, MBIO, V13, DOI 10.1128/mbio.00449-22
Zhou JZ, 2017, MICROBIOL MOL BIOL R, V81, DOI 10.1128/MMBR.00002-17
Zhou L, 2021, ENVIRON RES, V196, DOI 10.1016/j.envres.2021.110934
Zhou ZB, 2022, SOIL BIOL BIOCHEM, V171, DOI 10.1016/j.soilbio.2022.108742
NR 83
TC 21
Z9 22
PD FEB
PY 2023
VL 146
AR 109820
DI 10.1016/j.ecolind.2022.109820
EA DEC 2022
UT WOS:000909703700001
DA 2025-07-30
ER
PT J
AU Reza, MS
Kobiyama, A
Yamada, Y
Ikeda, Y
Ikeda, D
Mizusawa, N
Ikeo, K
Sato, S
Ogata, T
Jimbo, M
Kudo, T
Kaga, S
Watanabe, S
Naiki, K
Kaga, Y
Mineta, K
Bajic, V
Gojobori, T
Watabe, S
AF Reza, Md Shaheed
Kobiyama, Atsushi
Yamada, Yuichiro
Ikeda, Yuri
Ikeda, Daisuke
Mizusawa, Nanami
Ikeo, Kazuho
Sato, Shigeru
Ogata, Takehiko
Jimbo, Mitsuru
Kudo, Toshiaki
Kaga, Shinnosuke
Watanabe, Shiho
Naiki, Kimiaki
Kaga, Yoshimasa
Mineta, Katsuhiko
Bajic, Vladimir
Gojobori, Takashi
Watabe, Shugo
TI Basin-scale seasonal changes in marine free-living bacterioplankton
community in the Ofunato Bay
SO GENE
DT Article
AB The Ofunato Bay in the northeastern Pacific Ocean area of Japan possesses the highest biodiversity of marine organisms in the world and has attracted much attention due to its economic and environmental importance. We report here a shotgun metagenomic analysis of the year-round variation in free-living bacterioplankton collected across the entire length of the bay. Phylogenetic differences among spring, summer, autumn and winter bacterioplankton suggested that members of Proteobacteria tended to decrease at high water temperatures and increase at low temperatures. It was revealed that Candidatus Pelagibacter varied seasonally, reaching as much as 60% of all sequences at the genus level in the surface waters during winter. This increase was more evident in the deeper waters, where they reached up to 75%. The relative abundance of Planktomarina also rose during winter and fell during summer. A significant component of the winter bacterioplankton community was Archaea (mainly represented by Nitrosopumilus), as their relative abundance was very low during spring and summer but high during winter. In contrast, Actinobacteria and Cyanobacteria appeared to be higher in abundance during high-temperature periods. It was also revealed that Bacteroidetes constituted a significant component of the summer bacterioplankton community, being the second largest bacterial phylum detected in the Ofunato Bay. Its members, notably Polaribacter and Flavobacterium, were found to be high in abundance during spring and summer, particularly in the surface waters. Principal component analysis and hierarchal clustering analyses showed that the bacterial communities in the Ofunato Bay changed seasonally, likely caused by the levels of organic matter, which would be deeply mixed with surface runoff in the winter.
C1 [Reza, Md Shaheed; Kobiyama, Atsushi; Yamada, Yuichiro; Ikeda, Yuri; Ikeda, Daisuke; Mizusawa, Nanami; Ikeo, Kazuho; Sato, Shigeru; Ogata, Takehiko; Jimbo, Mitsuru; Kudo, Toshiaki; Watabe, Shugo] Kitasato Univ, Sch Marine Biosci, Minami Ku, Sagamihara, Kanagawa 2520373, Japan.
[Kaga, Shinnosuke; Watanabe, Shiho; Naiki, Kimiaki; Kaga, Yoshimasa] Iwate Fisheries Technol Ctr, Kamaishi, Iwate 0260001, Japan.
[Mineta, Katsuhiko; Bajic, Vladimir; Gojobori, Takashi] King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr, Thuwal 239556900, Saudi Arabia.
[Reza, Md Shaheed] Bangladesh Agr Univ, Dept Fisheries Technol, Mymensingh 2202, Bangladesh.
[Ikeo, Kazuho] Natl Inst Genet, Mishima, Shizuoka 4118540, Japan.
[Kaga, Shinnosuke] Iwate Prefectural Govt, Ofunato Fisheries Promot Ctr, Ofunato, Iwate 0228502, Japan.
RP Gojobori, T (corresponding author), King Abdullah Univ Sci & Technol, Computat Biosci Res Ctr, Thuwal 239556900, Saudi Arabia.; Gojobori, T (corresponding author), King Abdullah Univ Sci & Technol, Biol & Environm Sci & Engn, Thuwal 239556900, Saudi Arabia.; Watabe, S (corresponding author), Kitasato Univ, Dept Marine Biochem, Sch Marine Biosci, Minami Ku, Sagamihara, Kanagawa 2520373, Japan.
EM takashi.gojobori@kaust.edu.sa; swatabe@kitasato-u.ac.jp
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
[Anonymous], J JAPAN SOC CIVIL B2
[Anonymous], 1994, B COAST OCEANOGR
[Anonymous], IM DAT SEEN SPAC JAP
[Anonymous], RED TIDES
[Anonymous], 2006, ENVIRON HEALTH-GLOB
[Anonymous], J JAPAN SOC CIVIL B2
[Anonymous], CENSUS MARINE LIFE P
[Anonymous], ARCHITECTURE BUILDIN
Boyer JN, 2009, ECOL INDIC, V9, pS56, DOI 10.1016/j.ecolind.2008.11.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Collins RE, 2010, ENVIRON MICROBIOL, V12, P1828, DOI 10.1111/j.1462-2920.2010.02179.x
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
FUKATSU T, 1992, J INSECT PHYSIOL, V38, P765, DOI 10.1016/0022-1910(92)90029-D
Ghai R, 2012, SCI REP-UK, V2, DOI 10.1038/srep00490
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
GROSSART HP, 1993, LIMNOL OCEANOGR, V38, P532, DOI 10.4319/lo.1993.38.3.0532
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hayakawa Y, 2001, ICES J MAR SCI, V58, P435, DOI 10.1006/jmsc.2000.1036
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Jiao NZ, 1997, HYDROBIOLOGIA, V352, P219, DOI 10.1023/A:1003027408303
Kellogg CTE, 2009, AQUAT MICROB ECOL, V57, P1, DOI 10.3354/ame01317
Lovejoy C, 1996, AQUAT MICROB ECOL, V10, P1, DOI 10.3354/ame010001
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Mohit V, 2014, APPL ENVIRON MICROB, V80, P2071, DOI 10.1128/AEM.02916-13
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
R Core Team, 2022, R LANG ENV STAT COMP
Reza MS, 2018, GENE, V665, P192, DOI 10.1016/j.gene.2018.04.075
Sakami T, 2016, GENE, V576, P610, DOI 10.1016/j.gene.2015.10.011
Shi YM, 2012, ENVIRON MICROBIOL, V14, P191, DOI 10.1111/j.1462-2920.2011.02598.x
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
SIMON M, 1987, LIMNOL OCEANOGR, V32, P591, DOI 10.4319/lo.1987.32.3.0591
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
UNANUE M, 1992, MICROB ECOL, V23, P27, DOI 10.1007/BF00165905
von Scheibner M, 2014, ENVIRON MICROBIOL, V16, P718, DOI 10.1111/1462-2920.12195
Whitmire AL, 2009, OPT EXPRESS, V17, P21992, DOI 10.1364/OE.17.021992
Yamada Y, 2017, J OCEANOGR, V73, P11, DOI 10.1007/s10872-015-0336-y
NR 42
TC 9
Z9 9
PD JUL 30
PY 2018
VL 665
BP 185
EP 191
DI 10.1016/j.gene.2018.04.074
UT WOS:000435621900023
DA 2025-07-30
ER
PT J
AU Delmont, TO
Hammar, KM
Ducklow, HW
Yager, PL
Post, AF
AF Delmont, Tom O.
Hammar, Katherine M.
Ducklow, Hugh W.
Yager, Patricia L.
Post, Anton F.
TI Phaeocystis antarctica blooms strongly influence bacterial community
structures in the Amundsen Sea polynya
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Rising temperatures and changing winds drive the expansion of the highly productive polynyas (open water areas surrounded by sea ice) abutting the Antarctic continent. Phytoplankton blooms in polynyas are often dominated by the haptophyte Phaeocystis antarctica, and they generate the organic carbon that enters the resident microbial food web. Yet, little is known about how Phaeocystis blooms shape bacterial community structures and carbon fluxes in these systems. We identified the bacterial communities that accompanied a Phaeocystis bloom in the Amundsen Sea polynya during the austral summers of 20072008 and 20102011. These communities are distinct from those determined for the Antarctic Circumpolar Current (ACC) and off the Palmer Peninsula. Diversity patterns for most microbial taxa in the Amundsen Sea depended on location (e.g., waters abutting the pack ice near the shelf break and at the edge of the Dotson glacier) and depth, reflecting different niche adaptations within the confines of this isolated ecosystem. Inside the polynya, P. antarctica coexisted with the bacterial taxa Polaribacter sensu lato, a cryptic Oceanospirillum, SAR92 and Pelagibacter. These taxa were dominated by a single oligotype (genotypes partitioned by Shannon entropy analysis) and together contributed up to 73% of the bacterial community. Size fractionation of the bacterial community [<3 mu m (free-living bacteria) vs. >3 mu m (particle-associated bacteria)] identified several taxa (especially SAR92) that were preferentially associated with Phaeocystis colonies, indicative of a distinct role in Phaeocystis bloom ecology. In contrast, particle-associated bacteria at 250 m depth were enriched in Colwellia and members of the Cryomorphaceae suggesting that they play important roles in the decay of Phaeocystis blooms.
C1 [Delmont, Tom O.; Hammar, Katherine M.; Post, Anton F.] Josephine Bay Paul Ctr Comparat Mol Biol & Evalut, Marine Biol Lab, Woods Hole, MA 02543 USA.
[Ducklow, Hugh W.] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA.
[Yager, Patricia L.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Post, AF (corresponding author), Josephine Bay Paul Ctr Comparat Mol Biol & Evalut, Marine Biol Lab, 7 MBL St, Woods Hole, MA 02543 USA.
EM apost@mbl.edu
CR Alderkamp AC, 2007, BIOGEOCHEMISTRY, V83, P99, DOI 10.1007/s10533-007-9078-2
Alderkamp AC, 2012, DEEP-SEA RES PT II, V71-76, P32, DOI 10.1016/j.dsr2.2012.03.005
Arrigo KR, 1999, SCIENCE, V283, P365, DOI 10.1126/science.283.5400.365
Arrigo KR, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001739
Arrigo KR, 1998, J GEOPHYS RES-OCEANS, V103, P15587, DOI 10.1029/98JC00930
Becker JW, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00111
Behrenfeld MJ, 2014, ANNU REV MAR SCI, V6, P167, DOI 10.1146/annurev-marine-052913-021325
Bertrand EM, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00160
Bertrand EM, 2011, ENVIRON MICROBIOL, V13, P1285, DOI 10.1111/j.1462-2920.2011.02428.x
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Capone DG, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002331
Capone DG, 1997, SCIENCE, V276, P1221, DOI 10.1126/science.276.5316.1221
Carlson CA, 1998, LIMNOL OCEANOGR, V43, P375, DOI 10.4319/lo.1998.43.3.0375
Chen Ju-fang, 1999, Journal of Jinan University, V20, P124
COLE JJ, 1982, ANNU REV ECOL SYST, V13, P291, DOI 10.1146/annurev.es.13.110182.001451
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
DiTullio GR, 2000, NATURE, V404, P595, DOI 10.1038/35007061
Doucette Gregory J., 1995, Natural Toxins, V3, P65, DOI 10.1002/nt.2620030202
Ducklow HW., 2003, Biogeochemistry of the Ross Sea, V78, P143
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Eren AM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066643
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hamm CE, 1999, MAR ECOL PROG SER, V187, P101, DOI 10.3354/meps187101
Hmelo LR, 2012, AQUAT MICROB ECOL, V67, P1, DOI 10.3354/ame01571
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Janse I, 1999, LIMNOL OCEANOGR, V44, P1447, DOI 10.4319/lo.1999.44.6.1447
Kim JG, 2014, ENVIRON MICROBIOL, V16, P1566, DOI 10.1111/1462-2920.12287
Kirchman DL, 2001, DEEP-SEA RES PT II, V48, P4179, DOI 10.1016/S0967-0645(01)00085-6
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Martin JH, 1990, GLOBAL BIOGEOCHEM CY, V4, P5, DOI 10.1029/GB004i001p00005
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
Mills MM, 2012, DEEP-SEA RES PT II, V71-76, P61, DOI 10.1016/j.dsr2.2012.03.008
Moisan TA, 2006, MAR BIOL, V149, P1281, DOI 10.1007/s00227-006-0321-5
Osinga R, 1997, AQUAT MICROB ECOL, V12, P11, DOI 10.3354/ame012011
Parks DH, 2010, BIOINFORMATICS, V26, P715, DOI 10.1093/bioinformatics/btq041
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Quaiser A, 2008, ENVIRON MICROBIOL, V10, P2704, DOI 10.1111/j.1462-2920.2008.01691.x
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rousseau V, 2000, J SEA RES, V43, P357, DOI 10.1016/S1385-1101(00)00018-6
Schoemann V, 2005, J SEA RES, V53, P43, DOI 10.1016/j.seares.2004.01.008
Seymour JR, 2010, SCIENCE, V329, P342, DOI 10.1126/science.1188418
Sher D, 2011, ISME J, V5, P1125, DOI 10.1038/ISMEJ.2011.1
Sinigalliano CD, 2007, P NATL ACAD SCI USA, V104, P9029, DOI 10.1073/pnas.0610552104
SMITH WO, 1991, NATURE, V352, P514, DOI 10.1038/352514a0
Smith WO, 2003, DEEP-SEA RES PT II, V50, P605, DOI 10.1016/S0967-0645(02)00586-6
Smith WO, 2000, DEEP-SEA RES PT II, V47, P3119, DOI 10.1016/S0967-0645(00)00061-8
Smith WO, 1998, MAR ECOL PROG SER, V168, P229, DOI 10.3354/meps168229
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Solomon CM, 2003, MAR ECOL PROG SER, V250, P81, DOI 10.3354/meps250081
STEFELS J, 1993, MAR ECOL PROG SER, V97, P11, DOI 10.3354/meps097011
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Stocker R, 2008, P NATL ACAD SCI USA, V105, P4209, DOI 10.1073/pnas.0709765105
Stocker R, 2012, MICROBIOL MOL BIOL R, V76, P792, DOI 10.1128/MMBR.00029-12
Subramaniam A, 2008, P NATL ACAD SCI USA, V105, P10460, DOI 10.1073/pnas.0710279105
Sul WJ, 2013, P NATL ACAD SCI USA, V110, P2342, DOI 10.1073/pnas.1212424110
Tang KW, 2008, J PHYCOL, V44, P1372, DOI 10.1111/j.1529-8817.2008.00595.x
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thioulouse J, 1997, STAT COMPUT, V7, P75, DOI 10.1023/A:1018513530268
Thomas F, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00093
Turner J, 2005, INT J CLIMATOL, V25, P279, DOI 10.1002/joc.1130
Van Mooy BAS, 2012, ISME J, V6, P422, DOI 10.1038/ismej.2011.115
Vogt M, 2012, EARTH SYST SCI DATA, V4, P107, DOI 10.5194/essd-4-107-2012
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wilkins D, 2013, ENVIRON MICROBIOL, V15, P1318, DOI 10.1111/1462-2920.12035
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Wolf C, 2013, ANTARCT SCI, V25, P741, DOI 10.1017/S0954102013000229
Yager PL, 2012, OCEANOGRAPHY, V25, P40, DOI 10.5670/oceanog.2012.73
Zingone A, 1999, J PHYCOL, V35, P1322, DOI 10.1046/j.1529-8817.1999.3561322.x
NR 72
TC 88
Z9 95
PD DEC 19
PY 2014
VL 5
AR 646
DI 10.3389/fmicb.2014.00646
UT WOS:000348523100001
DA 2025-07-30
ER
PT J
AU Chen, XW
Ma, RJ
Yang, YL
Jiao, NZ
Zhang, R
AF Chen, Xiaowei
Ma, Ruijie
Yang, Yunlan
Jiao, Nianzhi
Zhang, Rui
TI Viral Regulation on Bacterial Community Impacted by Lysis-Lysogeny
Switch: A Microcosm Experiment in Eutrophic Coastal Waters
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Marine viruses are major drivers of global biogeochemical cycles and energy fluxes, yet the importance of viral impacts on the succession and diversity of the bacterial community remains largely unexplored. Here, we explored viral life strategy and its potential effect on the bacterial community by experimental incubations of eutrophic coastal waters under lysogen-induced and non-induced treatments. The lysogen-induced treatment showed relatively constant viral and bacterial abundances, lytic and lysogenic viral production throughout the experimental period, together with the progressive declines in not only the relative abundances for SAR11, Rhodobacteraceae, Alteromonadaceae, and SAR86 but the bacterial community diversity. Conversely, the non-induced treatment observed the marked variation in the abundances of viruses, bacteria and cells with high nucleic acid content over the time course of incubation, which was congruent with the drastic shift in lytic and lysogenic viral production as well as the succession of bacterial community. Our results supported the hypotheses that a high level of lysogeny would occur with the increasing density of bacteria with rapid growth rate, which may contribute to a relatively lower host community diversity, whereas the lysogeny to lysis switching would fuel growth opportunities for less-active or initially rare bacterial taxa and generate a more diverse bacterial community. Altogether, the present study underscored the crucial regulatory role of the viral lysis-lysogeny pattern in bacterial community dynamics, composition and diversity, highlighting the viral impact on the microbial food web and biogeochemical processes.
C1 [Chen, Xiaowei; Ma, Ruijie; Yang, Yunlan; Jiao, Nianzhi; Zhang, Rui] Xiamen Univ, Inst Marine Microbes & Ecospheres, State Key Lab Marine Environm Sci, Coll Ocean & Earth Sci, Xiamen, Fujian, Peoples R China.
[Yang, Yunlan] Xiamen Univ, Coll Environm & Ecol, Xiamen, Fujian, Peoples R China.
RP Jiao, NZ; Zhang, R (corresponding author), Xiamen Univ, Inst Marine Microbes & Ecospheres, State Key Lab Marine Environm Sci, Coll Ocean & Earth Sci, Xiamen, Fujian, Peoples R China.
EM jiao@xmu.edu.cn; ruizhang@xmu.edu.cn
CR Ahmad AA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02480
Argov T, 2017, CURR OPIN MICROBIOL, V38, P81, DOI 10.1016/j.mib.2017.05.002
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Baltar F, 2016, ISME J, V10, P568, DOI 10.1038/ismej.2015.135
Bondy-Denomy J, 2014, J MICROBIOL, V52, P235, DOI 10.1007/s12275-014-4083-3
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brum JR, 2016, ISME J, V10, P437, DOI 10.1038/ismej.2015.125
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cai LL, 2019, ISME J, V13, P1857, DOI 10.1038/s41396-019-0397-9
Chen XW, 2019, WATER RES, V160, P118, DOI 10.1016/j.watres.2019.05.051
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
Dell'Anno A, 2015, P NATL ACAD SCI USA, V112, pE2014, DOI 10.1073/pnas.1422234112
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
FINDLAY S, 1991, LIMNOL OCEANOGR, V36, P268, DOI 10.4319/lo.1991.36.2.0268
García FC, 2018, ENVIRON MICROBIOL, V20, P2990, DOI 10.1111/1462-2920.14336
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Hammerl J. A., 2016, B INOPINATA FRONT MI, V7, P24, DOI DOI 10.3389/FMICB.2016.00024
Hewson I, 2007, MICROB ECOL, V53, P631, DOI 10.1007/s00248-006-9148-3
Howard-Varona C, 2017, ISME J, V11, P1511, DOI 10.1038/ismej.2017.16
Hurwitz BL, 2016, CURR OPIN MICROBIOL, V31, P161, DOI 10.1016/j.mib.2016.04.002
Iriarte A, 2003, AQUAT MICROB ECOL, V31, P145, DOI 10.3354/ame031145
James CE, 2015, ISME J, V9, P1391, DOI 10.1038/ismej.2014.223
James CE, 2012, BMC MICROBIOL, V12, DOI 10.1186/1471-2180-12-216
Jiang SC, 1996, MAR ECOL PROG SER, V142, P27, DOI 10.3354/meps142027
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Keshri J, 2017, WATER RES, V124, P129, DOI 10.1016/j.watres.2017.07.053
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Laber CP, 2018, NAT MICROBIOL, V3, P537, DOI 10.1038/s41564-018-0128-4
Lai JYH, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fix187
Liang CM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090091
Liu HB, 2017, LIMNOL OCEANOGR, V62, pS364, DOI 10.1002/lno.10612
Liu L, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix119
Luef B, 2009, ENV MICROBIOL REP, V1, P78, DOI 10.1111/j.1758-2229.2008.00008.x
Malits A, 2009, AQUAT MICROB ECOL, V54, P243, DOI 10.3354/ame01274
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Paul JH., 2010, Manual of Aquatic Virus Ecology, ASLO, P30, DOI [10.4319/mave.2010.978-0-9845591-0-7.30, DOI 10.4319/MAVE.2010.978-0-9845591-0-7.30]
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Payet JP, 2013, LIMNOL OCEANOGR, V58, P465, DOI 10.4319/lo.2013.58.2.0465
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ram ASP, 2016, MICROB ECOL, V72, P347, DOI 10.1007/s00248-016-0782-0
Ram ASP, 2010, ENVIRON MICROBIOL, V12, P467, DOI 10.1111/j.1462-2920.2009.02088.x
Ram ASP, 2008, ISME J, V2, P498, DOI 10.1038/ismej.2008.15
Rastelli E, 2017, ENVIRON MICROBIOL, V19, P4432, DOI 10.1111/1462-2920.13890
Rastelli E, 2016, ENVIRON MICROBIOL, V18, P4511, DOI 10.1111/1462-2920.13484
Rowe JM, 2008, AQUAT MICROB ECOL, V52, P233, DOI 10.3354/ame01231
Salmond GPC, 2015, NAT REV MICROBIOL, V13, P777, DOI 10.1038/nrmicro3564
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sheik AR, 2014, ISME J, V8, P212, DOI 10.1038/ismej.2013.135
Shen DD, 2018, ENVIRON MICROBIOL, V20, P1170, DOI 10.1111/1462-2920.14059
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Touchon M, 2016, ISME J, V10, P2744, DOI 10.1038/ismej.2016.47
Hoai TD, 2016, VIRUS RES, V222, P13, DOI 10.1016/j.virusres.2016.05.021
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Wang XX, 2010, NAT COMMUN, V1, DOI 10.1038/ncomms1146
Wang Y, 2019, MAR POLLUT BULL, V142, P135, DOI 10.1016/j.marpolbul.2019.03.035
Wei W, 2019, MICROB ECOL, V78, P843, DOI 10.1007/s00248-019-01362-2
Weinbauer M. G., 2010, MANUAL AQUATIC VIRAL, V1, P1, DOI [10.4319/mave.2010.978-0-9845591-0-7.1, DOI 10.4319/MAVE.2010.978-0-9845591-0-7.1]
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Wilhelm SW, 2002, MICROBIAL ECOL, V43, P168, DOI 10.1007/s00248-001-1021-9
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Williamson SJ, 2001, APPL ENVIRON MICROB, V67, P1682, DOI 10.1128/AEM.67.4.1682-1688.2001
Winget DM, 2011, P NATL ACAD SCI USA, V108, P11506, DOI 10.1073/pnas.1101907108
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Xu J, 2013, MICROB ECOL, V66, P60, DOI 10.1007/s00248-013-0207-2
Zhang R, 2007, ENVIRON MICROBIOL, V9, P3008, DOI 10.1111/j.1462-2920.2007.01410.x
Zheng Q, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01517-17
NR 74
TC 28
Z9 31
PD JUL 31
PY 2019
VL 10
AR 1763
DI 10.3389/fmicb.2019.01763
UT WOS:000478001300001
DA 2025-07-30
ER
PT J
AU Neuenschwander, SM
Salcher, MM
Pernthaler, J
AF Neuenschwander, Stefan M.
Salcher, Michaele M.
Pernthaler, Jakob
TI Fluorescence in situ hybridization and sequential catalyzed
reporter deposition (2C-FISH) for the flow cytometric sorting of
freshwater ultramicrobacteria
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Flow cytometric sorting is a powerful tool to physically separate cells within mixed microbial communities. If combined with phylogenetic staining (fluorescence in situ hybridization, FISH) it allows to specifically sort defined genotypic microbial populations from complex natural samples. However, the targeted enrichment of freshwater ultramicrobacteria, such as members of the LD12 clade of Alphaproteobacteria (SAR11-IIIb), is still challenging. Current FISH protocols, even in combination with signal amplification by catalyzed reporter deposition (CARD), are not sufficiently sensitive for the distinction of these bacteria from background noise by flow cytometry, presumably due to their low ribosome content and small cell sizes. We, therefore, modified a CARD based flow sorting protocol with the aim of increasing its sensitivity to a level sufficient for ultramicrobacteria. This was achieved by a second signal amplification step mediated by horseradish peroxidase labeled antibodies targeted to the fluorophores that were previously deposited by CARD-FISH staining. The protocol was tested on samples from an oligo-mesotrophic lake. Ultramicrobacteria affiliated with LD12 Alphaproteobacteria could be successfully sorted to high purity by flow cytometry. The ratios of median fluorescence signal to background ranged around 20, and hybridization rates determined by flow cytometry were comparable to those obtained by fluorescence microscopy. Potential downstream applications of our modified cell staining approach range from the analysis of microdiversity within 16S rRNA-defined populations to that of functional properties, such as the taxon-specific incorporation rates of organic substrates.
C1 [Neuenschwander, Stefan M.; Salcher, Michaele M.; Pernthaler, Jakob] Univ Zurich, Limnol Stn, Inst Plant Biol, CH-8802 Kilchberg, Switzerland.
RP Pernthaler, J (corresponding author), Univ Zurich, Limnol Stn, Inst Plant Biol, Seestr 187, CH-8802 Kilchberg, Switzerland.
EM pernthaler@limnol.uzh.ch
CR Alvarez-Barrientos A, 2000, CLIN MICROBIOL REV, V13, P167, DOI 10.1128/CMR.13.2.167-195.2000
Blainey PC, 2013, FEMS MICROBIOL REV, V37, P407, DOI 10.1111/1574-6976.12015
Clingenpeel S, 2014, ISME J, V8, P2546, DOI 10.1038/ismej.2014.92
Cole JR, 2014, NUCLEIC ACIDS RES, V42, pD633, DOI 10.1093/nar/gkt1244
Eckert EM, 2012, ENVIRON MICROBIOL, V14, P794, DOI 10.1111/j.1462-2920.2011.02639.x
Felip M, 2007, APPL ENVIRON MICROB, V73, P4508, DOI 10.1128/AEM.00733-07
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hoshino T, 2008, APPL ENVIRON MICROB, V74, P5068, DOI 10.1128/AEM.00208-08
Kasalicky V, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058209
Kubota K, 2006, J MICROBIOL METH, V66, P521, DOI 10.1016/j.mimet.2006.02.002
LOPEZAMOROS R, 1995, APPL ENVIRON MICROB, V61, P2521
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Manti A, 2011, J MICROBIOL METH, V87, P309, DOI 10.1016/j.mimet.2011.09.003
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Posch T, 2012, NAT CLIM CHANGE, V2, P809, DOI [10.1038/NCLIMATE1581, 10.1038/nclimate1581]
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
R DevelopmentCoreTeam, 2011, R: ALanguageandEnvironmentforStatistical Computing
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Sekar R, 2004, APPL ENVIRON MICROB, V70, P6210, DOI 10.1128/AEM.70.10.6210-6219.2004
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Sharrow S O, 2001, Curr Protoc Immunol, VChapter 5, DOI 10.1002/0471142735.im0502s00
Stoecker K, 2010, APPL ENVIRON MICROB, V76, P922, DOI 10.1128/AEM.02456-09
Vives-Rego J, 2000, FEMS MICROBIOL REV, V24, P429, DOI 10.1016/S0168-6445(00)00033-4
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Wang YY, 2010, TRENDS BIOTECHNOL, V28, P416, DOI 10.1016/j.tibtech.2010.04.006
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Whitaker RJ, 2003, SCIENCE, V301, P976, DOI 10.1126/science.1086909
Yilmaz LS, 2011, APPL ENVIRON MICROB, V77, P1118, DOI 10.1128/AEM.01733-10
Yilmaz LS, 2004, APPL ENVIRON MICROB, V70, P7126, DOI 10.1128/AEM.70.12.7126-7139.2004
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 37
TC 18
Z9 19
PD MAR 31
PY 2015
VL 6
AR 247
DI 10.3389/fmicb.2015.00247
UT WOS:000352537700001
DA 2025-07-30
ER
PT J
AU Arandia-Gorostidi, N
Krabberod, AK
Logares, R
Deutschmann, IM
Scharek, R
Moran, XAG
Gonzalez, F
Alonso-Saez, L
AF Arandia-Gorostidi, Nestor
Krabberod, Anders K.
Logares, Ramiro
Deutschmann, Ina Maria
Scharek, Renate
Moran, Xose Anxelu G.
Gonzalez, Felipe
Alonso-Saez, Laura
TI Novel Interactions Between Phytoplankton and Bacteria Shape Microbial
Seasonal Dynamics in Coastal Ocean Waters
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Trophic interactions between marine phytoplankton and heterotrophic bacteria are at the base of the biogeochemical carbon cycling in the ocean. However, the specific interactions taking place between phytoplankton and bacterial taxa remain largely unexplored, particularly out of phytoplankton blooming events. Here, we applied network analysis to a 3.5-year time-series dataset to assess the specific associations between different phytoplankton and bacterial taxa along the seasonal scale, distinguishing between free-living and particle-attached bacteria. Using a newly developed network post-analysis technique we removed bacteria-phytoplankton correlations that were primarily driven by environmental parameters, to detect potential biotic interactions. Our results indicate that phytoplankton dynamics may be a strong driver of the inter-annual variability in bacterial community composition. We found the highest abundance of specific bacteria-phytoplankton associations in the particle-attached fraction, indicating a tighter bacteria-phytoplankton association than in the free-living fraction. In the particle-associated fraction we unveiled novel potential associations such as the one between Planctomycetes taxa and the diatom Leptocylindrus spp. Consistent correlations were also found between free-living bacterial taxa and different diatoms, including novel associations such as those between SAR11 with Naviculales diatom order, and between Actinobacteria and Cylindrotheca spp. We also confirmed previously known associations between Rhodobacteraceae and Thalassiosira spp. Our results expand our view on bacteria-phytoplankton associations, suggesting that taxa-specific interactions may largely impact the seasonal dynamics of heterotrophic bacterial communities.
C1 [Arandia-Gorostidi, Nestor; Scharek, Renate; Moran, Xose Anxelu G.; Gonzalez, Felipe; Alonso-Saez, Laura] CSIC, Ctr Oceanog Gijon Xixon, Inst Espanol Oceanog IEO, Gijon, Spain.
[Arandia-Gorostidi, Nestor] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
[Krabberod, Anders K.] Univ Oslo, Dept Biosci, Sect Genet & Evolutionary Biol EVOGENE, Oslo, Norway.
[Logares, Ramiro; Deutschmann, Ina Maria] CSIC, Inst Ciencies Mar ICM, Barcelona, Spain.
[Moran, Xose Anxelu G.] King Abdullah Univ Sci & Technol, Red Sea Res Ctr, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia.
[Alonso-Saez, Laura] Basque Res & Technol Alliance BRTA, AZTI, Marine Res, Sukarrieta, Spain.
RP Arandia-Gorostidi, N; Alonso-Saez, L (corresponding author), CSIC, Ctr Oceanog Gijon Xixon, Inst Espanol Oceanog IEO, Gijon, Spain.; Arandia-Gorostidi, N (corresponding author), Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.; Alonso-Saez, L (corresponding author), Basque Res & Technol Alliance BRTA, AZTI, Marine Res, Sukarrieta, Spain.
EM n.arandia86@gmail.com; lalonso@azti.es
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V53, P379, DOI 10.1016/j.femsec.2005.01.008
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2009, P NATL ACAD SCI USA, V106, P17071, DOI 10.1073/pnas.0905512106
Arandia-Gorostidi N, 2020, ENVIRON MICROBIOL, V22, P1381, DOI 10.1111/1462-2920.14954
Arandia-Gorostidi N, 2017, ISME J, V11, P641, DOI 10.1038/ismej.2016.156
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Bunse C, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00517
BUSBY WF, 1973, PLANT CELL PHYSIOL, V14, P1123
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Cardozo-Mino MG, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.658803
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Cooper MB, 2015, CURR OPIN PLANT BIOL, V26, P147, DOI 10.1016/j.pbi.2015.07.003
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Cruz-López R, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00560
Daims H, 2015, NATURE, V528, P504, DOI 10.1038/nature16461
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Deutschmann IM, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01141-7
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
El-Swais H, 2015, ENVIRON MICROBIOL, V17, P3642, DOI 10.1111/1462-2920.12629
Faust K, 2015, CURR OPIN MICROBIOL, V25, P56, DOI 10.1016/j.mib.2015.04.004
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
García FC, 2015, ENVIRON MICROBIOL, V17, P4133, DOI 10.1111/1462-2920.12984
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Grossart HP, 2007, FEMS MICROBIOL LETT, V266, P194, DOI 10.1111/j.1574-6968.2006.00520.x
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Haggerty JM, 2017, GLOBAL ECOL BIOGEOGR, V26, P177, DOI 10.1111/geb.12528
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Koch H, 2015, P NATL ACAD SCI USA, V112, P11371, DOI 10.1073/pnas.1506533112
Krabberod AK, 2022, ENVIRON MICROBIOME, V17, DOI 10.1186/s40793-022-00417-1
Lambert S, 2021, ENVIRON MICROBIOL, V23, P2592, DOI 10.1111/1462-2920.15482
Lambert S, 2019, ISME J, V13, P388, DOI 10.1038/s41396-018-0281-z
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Lupette J, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01414
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Morán XAG, 2015, ESTUAR COAST SHELF S, V154, P255, DOI 10.1016/j.ecss.2014.12.047
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
NEVEUX J, 1986, DEEP-SEA RES, V33, P1, DOI 10.1016/0198-0149(86)90104-4
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Raes J, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.6
Ramanan R, 2015, ALGAL RES, V8, P140, DOI 10.1016/j.algal.2015.02.003
Reshef DN, 2011, SCIENCE, V334, P1518, DOI 10.1126/science.1205438
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Ruan QS, 2006, BIOINFORMATICS, V22, P2532, DOI 10.1093/bioinformatics/btl417
Sapp M, 2007, MICROB ECOL, V53, P683, DOI 10.1007/s00248-006-9162-5
Sarmento H, 2013, LIMNOL OCEANOGR, V58, P1123, DOI 10.4319/lo.2013.58.3.1123
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Storey JD, 2003, P NATL ACAD SCI USA, V100, P9440, DOI 10.1073/pnas.1530509100
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tada Y, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw099
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Utermohl H., 1953, SIL Commun. 19531996, V9, P1, DOI DOI 10.1080/05384680.1958.11904091
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Zecher K, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.533894
Zhang F, 2020, MAR POLLUT BULL, V153, DOI 10.1016/j.marpolbul.2020.111021
NR 85
TC 18
Z9 18
PD JUL 22
PY 2022
VL 9
AR 901201
DI 10.3389/fmars.2022.901201
UT WOS:000837257800001
DA 2025-07-30
ER
PT J
AU Alonso-Sáez, L
Gasol, JM
Lefort, T
Hofer, J
Sommaruga, R
AF Alonso-Saez, Laura
Gasol, Josep M.
Lefort, Thomas
Hofer, Julia
Sommaruga, Ruben
TI Effect of natural sunlight on bacterial activity and differential
sensitivity of natural bacterioplankton groups in northwestern
Mediterranean coastal waters
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We studied the effects of natural sunlight on heterotrophic marine bacterioplankton in short-term experiments. We used a single-cell level approach involving How cytometry combined with physiological probes and microautoradiography to determine sunlight effects on the activity and integrity of the cells. After 4 h of sunlight exposure, most bacterial cells maintained membrane integrity and viability as assessed by the simultaneous staining with propidium iodide and SYBR green I. In contrast, a significant inhibition of heterotrophic bacterial activity was detected, measured by 5-cyano-2,3 ditolyl tetrazolium chloride reduction and leucine incorporation. We applied microautoradiography combined with catalyzed reporter deposition-fluorescence in situ hybridization to test the sensitivity of the different bacterial groups naturally occurring in the Northwestern Mediterranean to sunlight. Members of the Gammaproteobacteria and Bacteroidetes groups appeared to be highly resistant to solar radiation, with small changes in activity after exposure. On the contrary, Alphaproteobacteria bacteria were more sensitive to radiation as measured by the cell-specific incorporation of labeled amino acids, leucine, and ATE Within Alphaproteobacteria, bacteria belonging to the Roseobacter group showed higher resistance than members of the SAR11 cluster. The activity of Roseobacter was stimulated by exposure to photosynthetic available radiation compared to the dark treatment. Our results suggest that UV radiation can significantly affect the in situ single-cell activity of bacterioplankton and that naturally dominating phylogenetic bacterial groups have different sensitivity to natural levels of incident solar radiation.
C1 CSIC, CMIMA, Inst Ciencias Mar, Dept Biol Marina & Oceanog, E-08003 Barcelona, Catalunya, Spain.
Univ Innsbruck, Inst Ecol, Lab Aquat Photobiol & Plankton Ecol, A-6020 Innsbruck, Austria.
RP Gasol, JM (corresponding author), CSIC, CMIMA, Inst Ciencias Mar, Dept Biol Marina & Oceanog, Paseo Nacl S-N, E-08003 Barcelona, Catalunya, Spain.
EM pepgasol@icm.csic.es
CR Aas P, 1996, AQUAT MICROB ECOL, V11, P229, DOI 10.3354/ame011229
Agogué H, 2005, APPL ENVIRON MICROB, V71, P5282, DOI 10.1128/AEM.71.9.5282-5289.2005
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], 1997, THESIS TU MUNCHEN MU
Arrieta JM, 2000, APPL ENVIRON MICROB, V66, P1468, DOI 10.1128/AEM.66.4.1468-1473.2000
BAILEY CA, 1983, APPL ENVIRON MICROB, V46, P44, DOI 10.1128/AEM.46.1.44-49.1983
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Benner R, 1998, LIMNOL OCEANOGR, V43, P1373, DOI 10.4319/lo.1998.43.6.1373
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
delGiorgio PA, 1997, MICROBIAL ECOL, V34, P144
DONEY SC, 1995, J MAR RES, V53, P341, DOI 10.1357/0022240953213133
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Franklin MP, 2005, ENVIRON MICROBIOL, V7, P723, DOI 10.1111/j.1462-2920.2004.00736.x
GARCIAPICHEL F, 1994, LIMNOL OCEANOGR, V39, P1704, DOI 10.4319/lo.1994.39.7.1704
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Granata TC, 1999, CONT SHELF RES, V19, P1249, DOI 10.1016/S0278-4343(98)00118-6
Grégori G, 2001, APPL ENVIRON MICROB, V67, P4662, DOI 10.1128/AEM.67.10.4662-4670.2001
HERNDL GJ, 1993, NATURE, V361, P717, DOI 10.1038/361717a0
HERNDL GJ, 1997, EFFECTS OZONE DEPLET, P143
Jeffrey W.H., 2000, Effects of UV Radiation on Marine Ecosystems, P206, DOI DOI 10.1017/CBO9780511535444.009
Jeffrey WH, 1996, MAR ECOL PROG SER, V137, P283, DOI 10.3354/meps137283
Joux F, 1999, APPL ENVIRON MICROB, V65, P3820
Kaiser E, 1997, APPL ENVIRON MICROB, V63, P4026, DOI 10.1128/AEM.63.10.4026-4031.1997
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Lebaron P, 2002, AQUAT MICROB ECOL, V28, P131, DOI 10.3354/ame028131
Llabrés M, 2006, LIMNOL OCEANOGR, V51, P21, DOI 10.4319/lo.2006.51.1.0021
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Maranger R, 2002, AQUAT MICROB ECOL, V28, P213, DOI 10.3354/ame028213
Masó M, 1991, J MARINE SYST, V1, P441, DOI 10.1016/0924-7963(91)90008-I
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MULLERNIKLAS G, 1995, AQUAT MICROB ECOL, V9, P111, DOI 10.3354/ame009111
Olivar MP, 1998, OCEANOL ACTA, V21, P95, DOI 10.1016/S0399-1784(98)80053-4
Pakulski JD, 1998, AQUAT MICROB ECOL, V14, P137, DOI 10.3354/ame014137
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
Servais P, 2003, AQUAT MICROB ECOL, V33, P41, DOI 10.3354/ame033041
Sherr BF, 1999, AQUAT MICROB ECOL, V18, P117, DOI 10.3354/ame018117
SHIBA T, 1991, SYST APPL MICROBIOL, V14, P140, DOI 10.1016/S0723-2020(11)80292-4
SHIBA T, 1979, APPL ENVIRON MICROB, V14, P140
Sieracki ME, 1999, APPL ENVIRON MICROB, V65, P2409
SINGER CE, 1970, SCIENCE, V170, P822, DOI 10.1126/science.170.3960.822
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sommaruga R, 2005, APPL ENVIRON MICROB, V71, P2154, DOI 10.1128/AEM.71.4.2154-2157.2005
Sommaruga R, 1997, APPL ENVIRON MICROB, V63, P4178, DOI 10.1128/AEM.63.11.4178-4184.1997
Sommaruga R, 1999, J PLANKTON RES, V21, P859, DOI 10.1093/plankt/21.5.859
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Williams SC, 1998, J MICROBIOL METH, V32, P225, DOI 10.1016/S0167-7012(98)00014-1
Winter C, 2001, APPL ENVIRON MICROB, V67, P665, DOI 10.1128/AEM.67.2.665-672.2001
NR 56
TC 127
Z9 140
PD SEP
PY 2006
VL 72
IS 9
BP 5806
EP 5813
DI 10.1128/AEM.00597-06
UT WOS:000240474000017
DA 2025-07-30
ER
PT J
AU Zhuang, GC
Peña-Montenegro, TD
Montgomery, A
Montoya, JP
Joye, SB
AF Zhuang, Guang-Chao
Pena-Montenegro, Tito D.
Montgomery, Andrew
Montoya, Joseph P.
Joye, Samantha B.
TI Significance of Acetate as a Microbial Carbon and Energy Source in the
Water Column of Gulf of Mexico: Implications for Marine Carbon Cycling
SO GLOBAL BIOGEOCHEMICAL CYCLES
DT Article
AB Acetate is a key intermediate of organic matter mineralization, but its metabolism remains largely unconstrained in the pelagic ocean. We conducted an integrated biogeochemical study to investigate microbial acetate cycling in the northern Gulf of Mexico with the goal of elucidating the importance of acetate as a carbon and energy source. Acetate was used primarily as an energy source, as evidenced by observed oxidation rates (rate constant k: 0.06-0.22 day(-1)) that varied between 42% and 96% of total biological acetate uptake (i.e., assimilation + oxidation; k: 0.06-0.34 day(-1)). The assimilation of acetate into biomass (k: 0.01-0.20 day(-1)) illustrated the potential significance of acetate as a biomass carbon source, particularly in nutrient-rich coastal waters. No relationship between acetate assimilation or oxidation and environmental factors, such as chlorophyll and nutrients, was observed. However, elevated acetate uptake in reduced oxygen waters characterized by particulate organic carbon mineralization suggests that acetate metabolism may be a good proxy for particulate organic carbon breakdown. Molecular genetic analysis revealed that SAR11 Alphaproteobacteria were the most abundant heterotrophic bacteria and suggest that they may utilize acetate. At some sites, acetate carbon may have accounted for up to 50.4% of the bacterial carbon production. These results suggest that acetate may serve as an important carbon and energy source for heterotrophic bacteria thus revealing a potentially significant role of acetate for dissolved organic carbon cycling in the ocean.
C1 [Zhuang, Guang-Chao; Pena-Montenegro, Tito D.; Montgomery, Andrew; Joye, Samantha B.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Pena-Montenegro, Tito D.] Univ Georgia, Inst Bioinformat, Athens, GA 30602 USA.
[Montoya, Joseph P.] Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USA.
RP Joye, SB (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mjoye@uga.edu
CR Alber BE, 2006, MOL MICROBIOL, V61, P297, DOI 10.1111/j.1365-2958.2006.05238.x
Albert DB, 1997, MAR CHEM, V56, P27, DOI 10.1016/S0304-4203(96)00083-7
ALLDREDGE AL, 1987, SCIENCE, V235, P689, DOI 10.1126/science.235.4789.689
Alonso-Sáez L, 2010, ENVIRON MICROBIOL, V12, P2988, DOI 10.1111/j.1462-2920.2010.02276.x
ARLANDER DW, 1990, J GEOPHYS RES-ATMOS, V95, P16391, DOI 10.1029/JD095iD10p16391
BARRON ESG, 1953, BIOCHIM BIOPHYS ACTA, V12, P239
Bertilsson S, 1998, LIMNOL OCEANOGR, V43, P885, DOI 10.4319/lo.1998.43.5.0885
BILLEN G, 1980, ESTUAR COAST MAR SCI, V11, P279, DOI 10.1016/S0302-3524(80)80084-3
Calvo-Díaz A, 2009, APPL ENVIRON MICROB, V75, P3216, DOI 10.1128/AEM.01570-08
Cherrier J, 2014, ENVIRON SCI TECH LET, V1, P108, DOI 10.1021/ez400149c
D'Souza NA, 2016, NAT GEOSCI, V9, P215, DOI 10.1038/NGEO2631
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
Ensign SA, 2006, MOL MICROBIOL, V61, P274, DOI 10.1111/j.1365-2958.2006.05247.x
Fernández-Carrera A, 2016, LIMNOL OCEANOGR, V61, pS387, DOI 10.1002/lno.10440
Finke N, 2007, FEMS MICROBIOL ECOL, V59, P10, DOI 10.1111/j.1574-6941.2006.00214.x
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
GOTTSCHAL JC, 1980, ARCH MICROBIOL, V126, P33, DOI 10.1007/BF00421888
Ho TY, 2002, LIMNOL OCEANOGR, V47, P1119, DOI 10.4319/lo.2002.47.4.1119
Hu P, 2017, P NATL ACAD SCI USA, V114, P7432, DOI 10.1073/pnas.1703424114
Joye SB, 2016, DEEP-SEA RES PT II, V129, P4, DOI 10.1016/j.dsr2.2016.04.018
Joye SB, 2004, CHEM GEOL, V205, P219, DOI 10.1016/j.chemgeo.2003.12.019
Khare P, 1999, REV GEOPHYS, V37, P227, DOI 10.1029/1998RG900005
KIEBER DJ, 1989, NATURE, V341, P637, DOI 10.1038/341637a0
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kleindienst S, 2016, ISME J, V10, P400, DOI 10.1038/ismej.2015.121
KORNBERG HL, 1957, NATURE, V179, P988, DOI 10.1038/179988a0
LAROCK PA, 1979, APPL ENVIRON MICROB, V37, P466, DOI 10.1128/AEM.37.3.466-470.1979
Lyu LN, 2017, MAR CHEM, V194, P43, DOI 10.1016/j.marchem.2017.03.008
MOPPER K, 1991, NATURE, V353, P60, DOI 10.1038/353060a0
Motard-Côté J, 2016, ENVIRON CHEM, V13, P280, DOI 10.1071/EN15053
Nagata T., 2008, Microbial Ecology of the Oceans, P207, DOI DOI 10.1002/9780470281840.CH7
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Oren Aharon, 2008, Saline Syst, V4, P2, DOI 10.1186/1746-1448-4-2
Petushkova EP, 2017, BIOCHEMISTRY-MOSCOW+, V82, P587, DOI 10.1134/S0006297917050078
Schneider K, 2012, J BIOL CHEM, V287, P757, DOI 10.1074/jbc.M111.305219
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
SHOKES RF, 1977, SCIENCE, V196, P1443, DOI 10.1126/science.196.4297.1443
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
SORENSEN J, 1981, Applied and Environmental Microbiology, V42, P5
Stal LJ, 1997, FEMS MICROBIOL REV, V21, P179, DOI 10.1016/S0168-6445(97)00056-9
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tyssebotn IMB, 2017, LIMNOL OCEANOGR, V62, P1198, DOI 10.1002/lno.10495
Vetriani C, 1999, APPL ENVIRON MICROB, V65, P4375
Wetzel RG, 1995, LIMNOL OCEANOGR, V40, P1369, DOI 10.4319/lo.1995.40.8.1369
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
WU HG, 1994, MAR CHEM, V47, P97, DOI 10.1016/0304-4203(94)90102-3
Wu HG, 1997, LIMNOL OCEANOGR, V42, P705, DOI 10.4319/lo.1997.42.4.0705
Yakimov MM, 2013, SCI REP-UK, V3, DOI 10.1038/srep03554
Zhuang GC, 2019, GEOPHYS RES LETT, V46, P2637, DOI 10.1029/2018GL081284
Zhuang GC, 2019, GEOCHIM COSMOCHIM AC, V247, P243, DOI 10.1016/j.gca.2018.10.019
Zhuang GC, 2018, ENVIRON MICROBIOL, V20, P4543, DOI 10.1111/1462-2920.14406
Zhuang GC, 2016, GEOCHIM COSMOCHIM AC, V187, P1, DOI 10.1016/j.gca.2016.05.005
Ziervogel K, 2016, DEEP-SEA RES PT II, V129, P77, DOI 10.1016/j.dsr2.2015.06.017
NR 54
TC 31
Z9 40
PD FEB
PY 2019
VL 33
IS 2
BP 223
EP 235
DI 10.1029/2018GB006129
UT WOS:000460499000007
DA 2025-07-30
ER
PT J
AU West, NJ
Obernosterer, I
Zemb, O
Lebaron, P
AF West, Nyree J.
Obernosterer, Ingrid
Zemb, Olivier
Lebaron, Philippe
TI Major differences of bacterial diversity and activity inside and outside
of a natural iron-fertilized phytoplankton bloom in the Southern Ocean
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB One of the first comparisons of a natural iron fertilized bloom with a high-nutrient low-chlorophyll (HNLC) site was undertaken during the Kerguelen ocean and plateau compared study (KEOPS) cruise. To understand better the bacteria-phytoplankton relationship in the context of natural iron fertilization, bacterial diversity and activity was investigated in the bloom and in the adjacent HNLC region by 16S rDNA clone libraries and by single strand conformation polymorphism (SSCP) analysis. Both libraries were dominated by Alphaproteobacteria, Gammaproteobacteria and the Cytophaga-Flavobacteria-Bacteroides group. Cluster analysis at 99% sequence similarity yielded several microdiverse clusters and revealed striking differences between the two libraries. In the bloom, the dominant operational taxonomic units (OTUs) were the Roseobacter NAC11-7 cluster, SAR92 and a Cytophaga-Flavobacteria-Bacteroides cluster related to the agg58 group, whereas in the HNLC region, SAR11, Roseobacter RCA and Polaribacter dominated. SSCP analysis of 16S rDNA and 16S rRNA revealed contrasting dynamics of three different Roseobacter OTUs. Roseobacter NAC11-7 and NAC11-6 had higher relative abundances and activities in the bloom compared with the HNLC site and NAC11-6 was only detected at the decline of the bloom concomitant with a shift in phytoplankton composi tion. In contrast, Roseobacter RCA was relatively abundant and active both inside and outside of the bloom. These results suggest that the different OTUs within the Roseobacter group represent functional groups that each play an important role in the cycling of carbon.
C1 [West, Nyree J.; Obernosterer, Ingrid; Zemb, Olivier; Lebaron, Philippe] Univ Paris 06, Lab Arago, F-66650 Banyuls Sur Mer, France.
[West, Nyree J.; Obernosterer, Ingrid; Zemb, Olivier; Lebaron, Philippe] CNRS, UMR7621, Lab Oceanog Biol Banyuls, F-66650 Banyuls Sur Mer, France.
RP West, NJ (corresponding author), Univ Paris 06, Lab Arago, Ave Fontaule,BP44, F-66650 Banyuls Sur Mer, France.
EM nyree.west@obs-banyuls.fr
CR Acinas SG, 2005, APPL ENVIRON MICROB, V71, P8966, DOI 10.1128/AEM.71.12.8966-8969.2005
Acinas SG, 2004, J BACTERIOL, V186, P2629, DOI 10.1128/JB.186.9.2629-2635.2004
Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
ARMAND LK, 2007, IN PRESS DEEP SEA RE, V2
Arrieta JM, 2004, LIMNOL OCEANOGR, V49, P799, DOI 10.4319/lo.2004.49.3.0799
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Boyd PW, 2007, SCIENCE, V315, P612, DOI 10.1126/science.1131669
Boyd PW, 2000, NATURE, V407, P695, DOI 10.1038/35037500
Brown MV, 2001, FEMS MICROBIOL ECOL, V35, P267, DOI 10.1016/S0168-6496(01)00100-3
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
BRUSSAARD CPD, 2007, IN PRESS DEEP SEA RE, V2
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
CHRISTAKI U, 2007, IN PRESS DEEP SEA RE, V2
Coale KH, 2004, SCIENCE, V304, P408, DOI 10.1126/science.1089778
Cochlan WP, 2001, LIMNOL OCEANOGR, V46, P428, DOI 10.4319/lo.2001.46.2.0428
Delbès C, 2000, ENVIRON MICROBIOL, V2, P506, DOI 10.1046/j.1462-2920.2000.00132.x
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Fandino LB, 2005, AQUAT MICROB ECOL, V40, P251, DOI 10.3354/ame040251
Fekete RA, 2003, BIOTECHNIQUES, V35, P90, DOI 10.2144/03351rr01
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
García-Martínez J, 2002, ENVIRON MICROBIOL, V4, P42, DOI 10.1046/j.1462-2920.2002.00255.x
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Gervais F, 2002, LIMNOL OCEANOGR, V47, P1324, DOI 10.4319/lo.2002.47.5.1324
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Grossart HP, 2006, ENVIRON MICROBIOL, V8, P1074, DOI 10.1111/j.1462-2920.2006.00999.x
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Hall JA, 2001, DEEP-SEA RES PT II, V48, P2591, DOI 10.1016/S0967-0645(01)00010-8
Hugenholtz P, 2003, INT J SYST EVOL MICR, V53, P289, DOI 10.1099/ijs.0.02441-0
Hutchins DA, 2001, J GEOPHYS RES-OCEANS, V106, P31559, DOI 10.1029/2000JC000333
Hutchins DA, 2001, LIMNOL OCEANOGR, V46, P1535
Klepac-Ceraj V., 2006, Online J. Bioinformatics, V7, P15
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Lee DH, 1996, APPL ENVIRON MICROB, V62, P3112, DOI 10.1128/AEM.62.9.3112-3120.1996
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Martinez J, 1996, AQUAT MICROB ECOL, V10, P223, DOI 10.3354/ame010223
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
OBERNOSTERER I, 2007, IN PRESS DEEP SEA RE, V2
Oliver JL, 2004, LIMNOL OCEANOGR, V49, P2129, DOI 10.4319/lo.2004.49.6.2129
PARK YH, 2007, IN PRESS DEEP SEA RE, V2
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 2005, APPL ENVIRON MICROB, V71, P7650, DOI 10.1128/AEM.71.12.7650-7660.2005
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Sarmiento JL, 1998, NATURE, V393, P245, DOI 10.1038/30455
Schäfer H, 2002, FEMS MICROBIOL ECOL, V42, P25, DOI 10.1111/j.1574-6941.2002.tb00992.x
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Singleton DR, 2001, APPL ENVIRON MICROB, V67, P4374, DOI 10.1128/AEM.67.9.4374-4376.2001
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Suzuki K, 2005, PROG OCEANOGR, V64, P167, DOI 10.1016/j.pocean.2005.02.007
Thompson JR, 2002, NUCLEIC ACIDS RES, V30, P2083, DOI 10.1093/nar/30.9.2083
Van Heukelem L, 2001, J CHROMATOGR A, V910, P31, DOI 10.1016/S0378-4347(00)00603-4
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
Weinbauer MG, 2007, ENVIRON MICROBIOL, V9, P777, DOI 10.1111/j.1462-2920.2006.01200.x
Yager PL, 2001, LIMNOL OCEANOGR, V46, P790, DOI 10.4319/lo.2001.46.4.0790
Zemb O, 2007, MOL ECOL NOTES, V7, P767, DOI 10.1111/j.1471-8286.2007.01882.x
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 72
TC 139
Z9 148
PD MAR
PY 2008
VL 10
IS 3
BP 738
EP 756
DI 10.1111/j.1462-2920.2007.01497.x
UT WOS:000252712300018
DA 2025-07-30
ER
PT J
AU Kirchman, DL
Dittel, AI
Malmstrom, RR
Cottrell, MT
AF Kirchman, DL
Dittel, AI
Malmstrom, RR
Cottrell, MT
TI Biogeography of major bacterial groups in the Delaware Estuary
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB We used fluorescence in situ hybridization to examine the spatial and temporal variation in the abundance of major bacterial groups in the Delaware Estuary. The abundance of alpha- and beta-proteobacteria and Actinobacteria varied systematically in the estuary and mirrored the pattern seen in lakes and oceans. Beta-proteobacteria and Actinobacteria were abundant in the Delaware River but were less so in the marine waters of the Delaware Bay. In contrast, alpha-proteobacteria, including the SAR11 clade, were most abundant in the Bay and rare in the Delaware River. Actinobacteria were active in assimilating thymidine and leucine and appeared to contribute substantially to bacterial production in the Delaware River. Among the several biogeochemical parameters we examined, only salinity accounted for a substantial portion of the variation in abundance of these bacterial groups. However, relative abundance of these groups often varied independently of salinity. Cytophaga-like bacteria were often abundant throughout the estuary, but they did not vary systematically over the estuarine gradient, unlike the other dominant bacterial groups. We hypothesize that this estuary-wide high abundance occurs because Cytophaga-like bacteria are very diverse, more so than other groups. Data on 16S IRNA sequences are consistent with this hypothesis. The consistent biogeographic patterns suggest that some bacterial groups, even at a broad phylogenetic level, operate as ecologically meaningful units for examining some processes, whereas the Cytophaga-like bacteria as now defined might be too diverse to be useful for ecological studies.
C1 Univ Delaware, Coll Marine Studies, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Coll Marine Studies, Lewes, DE 19958 USA.
EM kirchman@cms.udel.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Castle D, 2004, LIMNOL OCEANOGR-METH, V2, P303, DOI 10.4319/lom.2004.2.303
COTTEL MT, IN PRESS BACT DIVERS
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Gasol JM, 2002, LIMNOL OCEANOGR, V47, P62, DOI 10.4319/lo.2002.47.1.0062
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Horner-Devine MC, 2003, ECOL LETT, V6, P613
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Kirchman DL, 2003, ESTUARIES, V26, P894, DOI 10.1007/BF02803348
Kirchman DL, 1999, AQUAT MICROB ECOL, V18, P187, DOI 10.3354/ame018187
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Martin AP, 2004, EVOLUTION, V58, P946
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Preen K, 2004, AQUAT MICROB ECOL, V37, P109, DOI 10.3354/ame037109
Santos SR, 2004, ENVIRON MICROBIOL, V6, P754, DOI 10.1111/j.1462-2920.2004.00617.x
Schweitzer B, 2001, APPL ENVIRON MICROB, V67, P632, DOI 10.1128/AEM.67.2.632-645.2001
SHARP JH, 1982, LIMNOL OCEANOGR, V27, P1015, DOI 10.4319/lo.1982.27.6.1015
Simek K, 2003, AQUAT MICROB ECOL, V31, P123, DOI 10.3354/ame031123
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
NR 42
TC 185
Z9 211
PD SEP
PY 2005
VL 50
IS 5
BP 1697
EP 1706
DI 10.4319/lo.2005.50.5.1697
UT WOS:000231932800034
DA 2025-07-30
ER
PT J
AU Garcia, SL
Stevens, SLR
Crary, B
Martinez-Garcia, M
Stepanauskas, R
Woyke, T
Tringe, SG
Andersson, SGE
Bertilsson, S
Malmstrom, RR
McMahon, KD
AF Garcia, Sarahi L.
Stevens, Sarah L. R.
Crary, Benjamin
Martinez-Garcia, Manuel
Stepanauskas, Ramunas
Woyke, Tanja
Tringe, Susannah G.
Andersson, Siv G. E.
Bertilsson, Stefan
Malmstrom, Rex R.
McMahon, Katherine D.
TI Contrasting patterns of genome-level diversity across distinct
co-occurring bacterial populations
SO ISME JOURNAL
DT Article
AB To understand the forces driving differentiation and diversification in wild bacterial populations, we must be able to delineate and track ecologically relevant units through space and time. Mapping metagenomic sequences to reference genomes derived from the same environment can reveal genetic heterogeneity within populations, and in some cases, be used to identify boundaries between genetically similar, but ecologically distinct, populations. Here we examine population-level heterogeneity within abundant and ubiquitous freshwater bacterial groups such as the acI Actinobacteria and LD12 Alphaproteobacteria (the freshwater sister clade to the marine SAR11) using 33 single-cell genomes and a 5-year metagenomic time series. The single-cell genomes grouped into 15 monophyletic clusters (termed "tribes") that share at least 97.9% 16S rRNA identity. Distinct populations were identified within most tribes based on the patterns of metagenomic read recruitments to single-cell genomes representing these tribes. Genetically distinct populations within tribes of the acI Actinobacterial lineage living in the same lake had different seasonal abundance patterns, suggesting these populations were also ecologically distinct. In contrast, sympatric LD12 populations were less genetically differentiated. This suggests that within one lake, some freshwater lineages harbor genetically discrete (but still closely related) and ecologically distinct populations, while other lineages are composed of less differentiated populations with overlapping niches. Our results point at an interplay of evolutionary and ecological forces acting on these communities that can be observed in real time.
C1 [Garcia, Sarahi L.; Stevens, Sarah L. R.; McMahon, Katherine D.] Univ Wisconsin Madison, Dept Bacteriol, Madison, WI 53706 USA.
[Garcia, Sarahi L.; Bertilsson, Stefan] Uppsala Univ, Dept Ecol & Genet, Limnol & Sci Life Lab, Uppsala, Sweden.
[Crary, Benjamin; McMahon, Katherine D.] Univ Wisconsin Madison, Dept Civil & Environm Engn, Madison, WI 53706 USA.
[Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, Alicante, Spain.
[Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME USA.
[Woyke, Tanja; Tringe, Susannah G.; Malmstrom, Rex R.] US DOE, Joint Genome Inst, Walnut Creek, CA USA.
[Andersson, Siv G. E.] Uppsala Univ, Dept Mol Evolut, Uppsala, Sweden.
RP McMahon, KD (corresponding author), Univ Wisconsin Madison, Dept Bacteriol, Madison, WI 53706 USA.; McMahon, KD (corresponding author), Univ Wisconsin Madison, Dept Civil & Environm Engn, Madison, WI 53706 USA.
EM Trina.mcmahon@wisc.edu
CR Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
Blainey PC, 2013, FEMS MICROBIOL REV, V37, P407, DOI 10.1111/1574-6976.12015
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Caro-Quintero A, 2012, ENVIRON MICROBIOL, V14, P347, DOI 10.1111/j.1462-2920.2011.02668.x
Carpenter SR., 2006, LONG TERM DYNAMICS L
Darling AE, 2014, PEERJ, V2, DOI 10.7717/peerj.243
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Garcia SL, 2013, ISME J, V7, P137, DOI 10.1038/ismej.2012.86
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Hanage WP, 2005, BMC BIOL, V3, DOI 10.1186/1741-7007-3-6
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Henson MW, 2001, INSIGHTS IM IN PRESS
Hug LA, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.48, 10.1038/NMICROBIOL.2016.48]
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Kang I, 2017, SCI REP-UK, V7, DOI 10.1038/srep42252
Kara EL, 2013, ISME J, V7, P680, DOI 10.1038/ismej.2012.118
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
Konstantinidis KT, 2008, ISME J, V2, P1052, DOI 10.1038/ismej.2008.62
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Little AEF, 2008, ANNU REV MICROBIOL, V62, P375, DOI 10.1146/annurev.micro.030608.101423
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Luo CW, 2011, P NATL ACAD SCI USA, V108, P7200, DOI 10.1073/pnas.1015622108
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Martinez-Garcia M, 2012, ISME J, V6, P113, DOI 10.1038/ismej.2011.84
Newton RJ, 2007, APPL ENVIRON MICROB, V73, P7169, DOI 10.1128/AEM.00794-07
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
R Core Team, 2014, LANG ENV STAT COMP
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rösel S, 2012, MICROB ECOL, V64, P571, DOI 10.1007/s00248-012-0049-3
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Shade A, 2007, LIMNOL OCEANOGR, V52, P487, DOI 10.4319/lo.2007.52.2.0487
Shapiro BJ, 2014, TRENDS MICROBIOL, V22, P235, DOI 10.1016/j.tim.2014.02.006
Stepanauskas R, 2012, CURR OPIN MICROBIOL, V15, P613, DOI 10.1016/j.mib.2012.09.001
Varghese NJ, 2015, NUCLEIC ACIDS RES, V43, P6761, DOI 10.1093/nar/gkv657
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 50
TC 47
Z9 54
PD MAR
PY 2018
VL 12
IS 3
BP 742
EP 755
DI 10.1038/s41396-017-0001-0
UT WOS:000427226100010
DA 2025-07-30
ER
PT J
AU Sheik, CS
Anantharaman, K
Breier, JA
Sylvan, JB
Edwards, KJ
Dick, GJ
AF Sheik, Cody S.
Anantharaman, Karthik
Breier, John A.
Sylvan, Jason B.
Edwards, Katrina J.
Dick, Gregory J.
TI Spatially resolved sampling reveals dynamic microbial communities in
rising hydrothermal plumes across a back-arc basin
SO ISME JOURNAL
DT Article
AB Within hydrothermal plumes, chemosynthetic processes and microbe-mineral interactions drive primary productivity in deep-ocean food webs and may influence transport of elements such as iron. However, the source of microorganisms in plumes and the factors governing how these communities assemble are poorly understood, in part due to lack of data from early stages of plume formation. In this study, we examined microbial community composition of rising hydrothermal plumes from five vent fields along the Eastern Lau Spreading Center. Seafloor and plume microbial communities were significantly dissimilar and shared few phylotypes. Plume communities were highly similar to each other with significant differences in community membership only between Kilo Moana and Mariner, two vents that are separated by extremes in depth, latitude and geochemistry. Systematic sampling of waters surrounding the vents revealed that species richness and phylogenetic diversity was typically highest near the vent orifice, implying mixing of microbial communities from the surrounding habitats. Above-plume background communities were primarily dominated by SAR11, SAR324 and MG-I Archaea, while SUP05, Sulfurovum, Sulfurimonas, SAR324 and Alteromonas were abundant in plume and near-bottom background communities. These results show that the ubiquitous water-column microorganisms populate plume communities, and that the composition of background seawater exerts primary influence on plume community composition, with secondary influence from geochemical and/or physical properties of vents. Many of these pervasive deep-ocean organisms are capable of lithotrophy, suggesting that they are poised to use inorganic electron donors encountered in hydrothermal plumes.
C1 [Sheik, Cody S.; Anantharaman, Karthik; Dick, Gregory J.] Dept Earth & Environm Sci, Ann Arbor, MI USA.
[Breier, John A.] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.
[Sylvan, Jason B.; Edwards, Katrina J.] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
[Dick, Gregory J.] Ctr Computat Med & Bioinformat, Ann Arbor, MI USA.
[Dick, Gregory J.] Univ Michigan, Dept Ecol & Evolutionary Biol, Ann Arbor, MI 48109 USA.
RP Dick, GJ (corresponding author), Univ Michigan, Dept Earth & Environm Sci, 2534 CC Little Bldg,1100 North Univ Ave, Ann Arbor, MI 48109 USA.
EM gdick@umich.edu
CR Amend JP, 2011, GEOCHIM COSMOCHIM AC, V75, P5736, DOI 10.1016/j.gca.2011.07.041
Anantharaman K, 2013, P NATL ACAD SCI USA, V110, P330, DOI 10.1073/pnas.1215340110
Anderson RE, 2013, FEMS MICROBIOL ECOL, V83, P324, DOI 10.1111/j.1574-6941.2012.01478.x
[Anonymous], SULFUR OXIDATION DEE
[Anonymous], 2003, FEMS Microbiology Ecology
[Anonymous], ISME J
[Anonymous], FRONT EXT MICROBIOL
[Anonymous], HYDROTHEMAL PROCESSE
[Anonymous], ISME J
[Anonymous], ENERGY MASS TRANSFER
Baker BJ, 2012, ISME J, V6, P2269, DOI 10.1038/ismej.2012.64
Baker ET, 2005, GEOCHEM GEOPHY GEOSY, V6, DOI 10.1029/2005GC000948
Bates ST, 2011, ISME J, V5, P908, DOI 10.1038/ismej.2010.171
Beaulieu SE, 2013, GEOCHEM GEOPHY GEOSY, V14, P4892, DOI 10.1002/2013GC004998
Bennett SA, 2013, GEOCHEM GEOPHY GEOSY, V14, P317, DOI 10.1002/ggge.20063
BOSTROM K, 1969, MAR GEOL, V7, P427, DOI 10.1016/0025-3227(69)90016-4
Bourbonnais A, 2012, BIOGEOSCIENCES, V9, P4661, DOI 10.5194/bg-9-4661-2012
Bowie AR, 2010, ANAL CHIM ACTA, V676, P15, DOI 10.1016/j.aca.2010.07.037
Breier JA, 2012, GEOCHIM COSMOCHIM AC, V88, P216, DOI 10.1016/j.gca.2012.04.003
Breier JA, 2009, GEOCHEM GEOPHY GEOSY, V10, DOI 10.1029/2008GC002314
Breier JA, 2009, DEEP-SEA RES PT I, V56, P1579, DOI 10.1016/j.dsr.2009.04.005
Brown MV, 2007, AQUAT MICROB ECOL, V46, P107, DOI 10.3354/ame046107
Campbell BJ, 2006, NAT REV MICROBIOL, V4, P458, DOI 10.1038/nrmicro1414
COWEN JP, 1986, NATURE, V322, P169, DOI 10.1038/322169a0
DEANGELIS MA, 1993, DEEP-SEA RES PT I, V40, P1169, DOI 10.1016/0967-0637(93)90132-M
Dick GJ, 2010, ENVIRON MICROBIOL, V12, P1334, DOI 10.1111/j.1462-2920.2010.02177.x
Dick GJ, 2009, GEOCHIM COSMOCHIM AC, V73, P6517, DOI 10.1016/j.gca.2009.07.039
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Elderfield H, 1996, ANNU REV EARTH PL SC, V24, P191, DOI 10.1146/annurev.earth.24.1.191
Faith DP, 2009, INT J MOL SCI, V10, P4723, DOI 10.3390/ijms10114723
Ferrini VL, 2008, GEOCHEM GEOPHY GEOSY, V9, DOI 10.1029/2008GC002047
Fierer N, 2008, P NATL ACAD SCI USA, V105, P17994, DOI 10.1073/pnas.0807920105
Flores GE, 2012, GEOBIOLOGY, V10, P333, DOI 10.1111/j.1472-4669.2012.00325.x
Gartman A, 2014, CHEM GEOL, V366, P32, DOI 10.1016/j.chemgeo.2013.12.013
German CR, 2006, GEOCHEM GEOPHY GEOSY, V7, DOI 10.1029/2006GC001324
German CR, 2010, P NATL ACAD SCI USA, V107, P14020, DOI 10.1073/pnas.1009205107
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Holden JF, 2012, OCEANOGRAPHY, V25, P196, DOI 10.5670/oceanog.2012.18
Hsu-Kim H, 2008, GEOCHEM T, V9, DOI 10.1186/1467-4866-9-6
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
JANNASCH HW, 1985, SCIENCE, V229, P717, DOI 10.1126/science.229.4715.717
JANNASCH HW, 1979, BIOSCIENCE, V29, P592, DOI 10.2307/1307765
Jiang HS, 2014, DEEP-SEA RES PT I, V92, P41, DOI 10.1016/j.dsr.2014.06.006
KADKO D, 1993, EARTH PLANET SC LETT, V120, P361, DOI 10.1016/0012-821X(93)90250-D
Kamenetsky VS, 1997, EARTH PLANET SC LETT, V151, P205, DOI 10.1016/S0012-821X(97)81849-3
KARL DM, 1980, SCIENCE, V207, P1345, DOI 10.1126/science.207.4437.1345
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kembel SW, 2010, BIOINFORMATICS, V26, P1463, DOI 10.1093/bioinformatics/btq166
Kembel SW, 2009, ECOL LETT, V12, P949, DOI 10.1111/j.1461-0248.2009.01354.x
Lam P, 2004, FEMS MICROBIOL ECOL, V47, P191, DOI 10.1016/S0168-6496(03)00256-3
Li M, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4192
Li M, 2014, ENVIRON MICROBIOL, V16, P60, DOI 10.1111/1462-2920.12182
LUPTON JE, 1985, NATURE, V316, P621, DOI 10.1038/316621a0
Luther GW, 2001, NATURE, V410, P813, DOI 10.1038/35071069
Martinez F, 2002, NATURE, V416, P417, DOI 10.1038/416417a
Mattes TE, 2013, ISME J, V7, P2349, DOI 10.1038/ismej.2013.113
McCollom TM, 2000, DEEP-SEA RES PT I, V47, P85, DOI 10.1016/S0967-0637(99)00048-5
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mottl MJ, 2011, GEOCHIM COSMOCHIM AC, V75, P1013, DOI 10.1016/j.gca.2010.12.008
Oksanen J., 2010, Vegan: Community ecology package
Petersen JM, 2012, BIOL BULL-US, V223, P123, DOI 10.1086/BBLv223n1p123
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Raczek I, 2001, GEOSTANDARD NEWSLETT, V25, P77, DOI 10.1111/j.1751-908X.2001.tb00789.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Speer K, 2012, OCEANOGRAPHY, V25, P284, DOI 10.5670/oceanog.2012.27
Sunamura M, 2004, APPL ENVIRON MICROB, V70, P1190, DOI 10.1128/AEM.70.2.1190-1198.2004
Sylvan JB, 2012, GEOBIOLOGY, V10, P178, DOI 10.1111/j.1472-4669.2011.00315.x
Sylvan JB, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00061
Tavormina PL, 2010, ISME J, V4, P700, DOI 10.1038/ismej.2009.155
Tivey MK, 2012, OCEANOGRAPHY, V25, P62, DOI 10.5670/oceanog.2012.04
Toner BM, 2009, NAT GEOSCI, V2, P197, DOI 10.1038/NGEO433
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
WINN CD, 1986, NATURE, V320, P744, DOI 10.1038/320744a0
Wu JF, 2011, GEOCHIM COSMOCHIM AC, V75, P460, DOI 10.1016/j.gca.2010.10.024
Yucel M, 2011, NAT GEOSCI, V4, P367, DOI [10.1038/NGEO1148, 10.1038/ngeo1148]
NR 79
TC 54
Z9 58
PD JUN
PY 2015
VL 9
IS 6
BP 1434
EP 1445
DI 10.1038/ismej.2014.228
UT WOS:000354786700014
DA 2025-07-30
ER
PT J
AU Sun, H
Zheng, HA
Jiang, YW
Liang, JC
Liao, BL
Wang, RX
Li, AH
Xiao, BH
AF Sun, Hao
Zheng, Huina
Jiang, Yiwei
Liang, Jinchang
Liao, Baolin
Wang, Ruixuan
Li, Aihua
Xiao, Baohua
TI Elevated temperature alters bacterial community composition and
metabolism in seawaters of coral reef ecosystem: An evidence of
laboratory experiment with Acropora digitifera bleaching
SO ECOLOGICAL INDICATORS
DT Article
AB The global phenomenon of coral bleaching under thermal stress has been recognized as the primary driver underlying coral reef degradation. The coral bacterial community plays an important role in the stability of coral reef ecosystem. Dimethylsulfoniopropionate (DMSP) and its associated metabolites are essential for the establishment of coral bacterial communities and provide key benefits for overall coral health and bleaching recovery. Substantial research to date has focused on the bacterial community composition, metabolism and functional properties within the coral holobiont, but less attention has been paid to the role of bacteria in seawater surrounding corals under thermal stress. Here, we investigated bacterial community composition, biological functions and DMSP metabolism changes of the seawater surrounding corals under thermal stress. We found that microbial community in seawater surrounding corals changed under thermal stress, and corals bleached eventually. The abundance of Rhodobacterales, Flavobacteriales and Rhizobiales increased while Chitinophagales and SAR11 decreased as temperature elevated. Correspondingly, stress tolerant, biofilm forming and mobile elements increased, resulting in large part from changes in Rhodobacterales and Phaeodactylibacter abundance. DMSP producing and catabolic levels in seawater surrounding corals were enhanced under thermal stress with higher dsyB (1.46-fold), dddP (2.43-fold) and dmdA (1.47-fold) detected. This study reveals the biological functions and metabolisms of bacteria in the water surrounding corals, providing valuable insight on how these communities and functions change in coral reef ecosystem under thermal stress.
C1 [Sun, Hao; Jiang, Yiwei; Liao, Baolin; Xiao, Baohua] Guangdong Ocean Univ, Shenzhen Inst, Binhai 2 Rd, Shenzhen 518120, Peoples R China.
[Xiao, Baohua] Guangdong Ocean Univ, Coll Fisheries, Zhanjiang 524088, Peoples R China.
[Sun, Hao; Li, Aihua] Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China.
[Zheng, Huina] Guangdong Ocean Univ, Coll Food Sci & Technol, Zhanjiang 524088, Peoples R China.
[Liang, Jinchang] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Shanghai 200240, Peoples R China.
[Wang, Ruixuan] Hanshan Normal Univ, Sch Life Sci & Food Engn, Chaozhou 521041, Peoples R China.
[Li, Aihua; Xiao, Baohua] Guangdong Ocean Univ, China B Xiao Inst Hydrobiol, Shenzhen Inst, Binhai 2 Rd, Shenzhen 518120, Peoples R China.
RP Xiao, BH (corresponding author), Guangdong Ocean Univ, Shenzhen Inst, Binhai 2 Rd, Shenzhen 518120, Peoples R China.; Xiao, BH (corresponding author), Guangdong Ocean Univ, Coll Fisheries, Zhanjiang 524088, Peoples R China.; Li, AH (corresponding author), Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China.; Li, AH; Xiao, BH (corresponding author), Guangdong Ocean Univ, China B Xiao Inst Hydrobiol, Shenzhen Inst, Binhai 2 Rd, Shenzhen 518120, Peoples R China.
EM liaihua@ihb.ac.cn; xiaobh@gdou.edu.cn
CR Blackall LL, 2015, MOL ECOL, V24, P5330, DOI 10.1111/mec.13400
Bourne DG, 2016, ANNU REV MICROBIOL, V70, P317, DOI 10.1146/annurev-micro-102215-095440
Cao Y, 2014, BIOINFORMATICS, V30, P1674, DOI 10.1093/bioinformatics/btu104
Cárdenas A, 2012, ISME J, V6, P502, DOI 10.1038/ismej.2011.123
Cardoso JFMF, 2013, AQUAT MICROB ECOL, V68, P215, DOI 10.3354/ame01610
CARPENTER JAMES H., 1965, LIMNOL OCEANOGR, V10, P135
Charpy L., 2012, J MAR BIOL, P1, DOI [DOI 10.1155/2012/259571, 10.1155/2012/259571]
Curson ARJ, 2018, NAT MICROBIOL, V3, P430, DOI 10.1038/s41564-018-0119-5
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Dai TH, 2012, FRONT MICROBIOL, V3, DOI [10.3389/fmicb.2012.00120, 10.3389/fmicb.2012.00417]
Davy SK, 2012, MICROBIOL MOL BIOL R, V76, P229, DOI 10.1128/MMBR.05014-11
Downs CA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0077173
Epstein HE, 2019, FRONT ECOL ENVIRON, V17, P100, DOI 10.1002/fee.2001
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fernandes N, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027387
Ferrier-Pagès C, 2018, GLOBAL CHANGE BIOL, V24, P3145, DOI 10.1111/gcb.14141
Fischer E, 2021, MAR POLLUT BULL, V164, DOI 10.1016/j.marpolbul.2021.112081
Frade PR, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0144702
Frias-Lopez J, 2002, APPL ENVIRON MICROB, V68, P2214, DOI 10.1128/AEM.68.5.2214-2228.2002
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Fujise L, 2021, MOL ECOL, V30, P343, DOI 10.1111/mec.15719
Garcia GD, 2016, MOL ECOL, V25, P4632, DOI 10.1111/mec.13775
Gardner SG, 2019, ECOL EVOL, V9, P938, DOI 10.1002/ece3.4662
Gardner SG, 2017, J EXP BIOL, V220, P1787, DOI 10.1242/jeb.153049
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glasl B, 2017, MAR BIOL, V164, DOI 10.1007/s00227-017-3097-x
Glasl B, 2016, ISME J, V10, P2280, DOI 10.1038/ismej.2016.9
Hagemanna S, 2014, J BASIC MICROB, V54, P1062, DOI 10.1002/jobm.201300376
Huang XW, 2021, INT BIODETER BIODEGR, V157, DOI 10.1016/j.ibiod.2020.105140
Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
Jones PR, 2007, MICROB ECOL, V53, P153, DOI 10.1007/s00248-006-9154-5
Kageyama H, 2018, ARCH BIOCHEM BIOPHYS, V645, P100, DOI 10.1016/j.abb.2018.03.019
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Lapointe BE, 2019, MAR BIOL, V166, DOI 10.1007/s00227-019-3538-9
Lee STM, 2017, SCI REP-UK, V7, DOI 10.1038/srep43600
Levin RA, 2016, MOL BIOL EVOL, V33, P2201, DOI 10.1093/molbev/msw119
Li CY, 2021, ELIFE, V10, DOI 10.7554/eLife.64045
Li H, 2009, BIOINFORMATICS, V25, P1754, DOI [10.1093/bioinformatics/btp352, 10.1093/bioinformatics/btp324, 10.1093/bioinformatics/btp698]
Li RQ, 2009, BIOINFORMATICS, V25, P1966, DOI 10.1093/bioinformatics/btp336
Li T, 2020, ALGAL RES, V46, DOI 10.1016/j.algal.2020.101793
Liu JL, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03206
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Maier SR, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-66463-2
Maire J, 2022, TRENDS MICROBIOL, V30, P217, DOI 10.1016/j.tim.2021.07.006
Matthews JL, 2020, ENVIRON MICROBIOL, V22, P1675, DOI 10.1111/1462-2920.14918
Meyer JL, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02244
Otte ML, 2004, J EXP BOT, V55, P1919, DOI 10.1093/jxb/erh178
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Peixoto RS, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00341
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Pogoreutz C, 2017, GLOBAL CHANGE BIOL, V23, P3838, DOI 10.1111/gcb.13695
Qin ZJ, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2019JC015579
Rädecker N, 2015, TRENDS MICROBIOL, V23, P490, DOI 10.1016/j.tim.2015.03.008
Raina JB, 2013, NATURE, V502, P677, DOI 10.1038/nature12677
Raina JB, 2010, TRENDS MICROBIOL, V18, P101, DOI 10.1016/j.tim.2009.12.002
Ramayo-Caldas Y, 2016, ISME J, V10, P2973, DOI 10.1038/ismej.2016.77
Rodrigo-Torres L, 2016, MAR GENOM, V26, P73, DOI 10.1016/j.margen.2016.01.001
Rosado PM, 2019, ISME J, V13, P921, DOI 10.1038/s41396-018-0323-6
Rosales SM, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00681
Sansupa C., APPL SCI, V11, P688
Schöttner S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032093
Siboni N, 2008, ENVIRON MICROBIOL, V10, P2979, DOI 10.1111/j.1462-2920.2008.01718.x
Song DL, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00157
Steichen SA, 2020, MICROB BIOTECHNOL, V13, P1546, DOI 10.1111/1751-7915.13591
Suggett DJ, 2020, GLOBAL CHANGE BIOL, V26, P68, DOI 10.1111/gcb.14871
Sun H, 2021, ENVIRON MICROBIOL, V23, P7073, DOI 10.1111/1462-2920.15813
Sun H, 2020, MICROB ECOL, V80, P350, DOI 10.1007/s00248-020-01507-8
Sun YP, 2018, CHEM ENG J, V344, P42, DOI 10.1016/j.cej.2018.03.047
Tchernov D, 2011, P NATL ACAD SCI USA, V108, P9905, DOI 10.1073/pnas.1106924108
Thume K, 2018, NATURE, V563, P412, DOI 10.1038/s41586-018-0675-0
Thurber RV, 2009, ENVIRON MICROBIOL, V11, P2148, DOI 10.1111/j.1462-2920.2009.01935.x
Tout J, 2014, MICROB ECOL, V67, P540, DOI 10.1007/s00248-013-0362-5
Vaksmaa A., FRONT MICROBIOL, V12, P2021, DOI 10.3389/
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Ward T., 2017, BIORXIV, DOI DOI 10.1101/133462
Webster NS, 2016, MBIO, V7, DOI 10.1128/mBio.00135-16
Weis VM, 2008, J EXP BIOL, V211, P3059, DOI 10.1242/jeb.009597
Williams BT, 2019, NAT MICROBIOL, V4, P1815, DOI 10.1038/s41564-019-0527-1
Winfield MO, 2018, BIOFOULING, V34, P464, DOI 10.1080/08927014.2018.1464152
Wyatt ASJ, 2020, NAT GEOSCI, V13, P28, DOI 10.1038/s41561-019-0486-4
Xie JY, 2020, MAR POLLUT BULL, V153, DOI 10.1016/j.marpolbul.2020.110950
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhang YZ, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0304-4
Zhao WJ, 2016, BMC MICROBIOL, V16, DOI 10.1186/s12866-015-0617-z
Zhou J, 2020, ENVIRON MICROBIOL, V22, P1944, DOI 10.1111/1462-2920.15009
Ziegler M, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10969-5
Ziegler M, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14213
Zong Y., 2020, APPL ECOL ENV RES, DOI [10.21203/rs.3.rs-45362/v1, DOI 10.21203/RS.3.RS-45362/V1]
NR 90
TC 10
Z9 11
PD JUN
PY 2022
VL 139
AR 108886
DI 10.1016/j.ecolind.2022.108886
EA APR 2022
UT WOS:000795544700002
DA 2025-07-30
ER
PT J
AU Kong, LF
Yan, KQ
Xie, ZX
He, YB
Lin, L
Xu, HK
Liu, SQ
Wang, DZ
AF Kong, Ling-Fen
Yan, Ke-Qiang
Xie, Zhang-Xian
He, Yan-Bin
Lin, Lin
Xu, Hong-Kai
Liu, Si-Qi
Wang, Da-Zhi
TI Metaproteomics Reveals Similar Vertical Distribution of Microbial
Transport Proteins in Particulate Organic Matter Throughout the Water
Column in the Northwest Pacific Ocean
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Solubilized particulate organic matter (POM) rather than dissolved organic matter (DOM) has been speculated to be the major carbon and energy sources for heterotrophic prokaryotes in the ocean. However, the direct evidence is still lack. Here we characterized microbial transport proteins of POM collected from both euphotic (75 m, deep chlorophyll maximum DCM, and 100 m) and upper-twilight (200 m and 500 m) zones in three contrasting environments in the northwest Pacific Ocean using a metaproteomic approach. The proportion of transport proteins was relatively high at the bottom of the euphotic zone (200 m), indicating that this layer was the most active area of microbe-driven POM remineralization in the water column. In the upper-twilight zone, the predicted substrates of the identified transporters indicated that amino acids, carbohydrates, taurine, inorganic nutrients, urea, biopolymers, and cobalamin were essential substrates for the microbial community. SAR11, Rhodobacterales, Alteromonadales, and Enterobacteriales were the key contributors with the highest expression of transporters. Interestingly, both the taxonomy and function of the microbial communities varied among water layers and sites with different environments; however, the distribution of transporter types and their relevant organic substrates were similar among samples, suggesting that microbial communities took up similar compounds and were functionally redundant in organic matter utilization throughout the water column. The similar vertical distribution of transport proteins from the euphotic zone to the upper twilight zone among the contrasting environments indicated that solubilized POM rather than DOM was the preferable carbon and energy sources for the microbial communities.
C1 [Kong, Ling-Fen; Xie, Zhang-Xian; Lin, Lin; Wang, Da-Zhi] Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Kong, Ling-Fen; Xie, Zhang-Xian; Wang, Da-Zhi] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China.
[Yan, Ke-Qiang; He, Yan-Bin; Xu, Hong-Kai; Liu, Si-Qi] BGI Shenzhen, Shenzhen, Peoples R China.
RP Wang, DZ (corresponding author), Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.; Wang, DZ (corresponding author), Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China.
EM dzwang@xmu.edu.cn
CR Arístegui J, 2002, SCIENCE, V298, P1967, DOI 10.1126/science.1076746
Arsène-Ploetze F, 2015, ENVIRON SCI POLLUT R, V22, P13599, DOI 10.1007/s11356-014-3898-0
Baltar F, 2009, LIMNOL OCEANOGR, V54, P182, DOI 10.4319/lo.2009.54.1.0182
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Berntsson RPA, 2010, FEBS LETT, V584, P2606, DOI 10.1016/j.febslet.2010.04.043
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Buesseler KO, 2009, DEEP-SEA RES PT I, V56, P1143, DOI 10.1016/j.dsr.2009.04.001
Buesseler KO, 2007, SCIENCE, V316, P567, DOI 10.1126/science.1137959
Chen L, 2015, LIMNOL OCEANOGR-METH, V13, P303, DOI 10.1002/lom3.10026
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
Clifford EL, 2017, LIMNOL OCEANOGR, V62, P2745, DOI 10.1002/lno.10603
Colatriano D, 2015, PROTEOMICS, V15, P3566, DOI 10.1002/pmic.201500079
Cox J, 2008, NAT BIOTECHNOL, V26, P1367, DOI 10.1038/nbt.1511
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Enke TN, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05159-8
Galperin MY, 2015, NUCLEIC ACIDS RES, V43, pD261, DOI 10.1093/nar/gku1223
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Giering SLC, 2014, NATURE, V507, P480, DOI 10.1038/nature13123
Gómez-Consarnau L, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01204
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Hedges JI, 2001, NATURE, V409, P801, DOI 10.1038/35057247
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Huson DH, 2011, GENOME RES, V21, P1552, DOI 10.1101/gr.120618.111
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Kanehisa M, 2017, NUCLEIC ACIDS RES, V45, pD353, DOI 10.1093/nar/gkw1092
Lewinson O, 2017, J MOL BIOL, V429, P606, DOI 10.1016/j.jmb.2017.01.010
Li JT, 2015, DEEP-SEA RES PT II, V122, P64, DOI 10.1016/j.dsr2.2015.07.006
Maier B, 2015, TRENDS MICROBIOL, V23, P775, DOI 10.1016/j.tim.2015.09.002
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Mestre M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01590
Mestre M, 2017, MOL ECOL, V26, P6827, DOI 10.1111/mec.14421
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Saier MH, 1998, ADV MICROB PHYSIOL, V40, P81, DOI 10.1016/S0065-2911(08)60130-7
Sebastián M, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00760
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
Tevatia R, 2015, ALGAL RES, V9, P21, DOI 10.1016/j.algal.2015.02.012
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tseng CH, 2015, BMC GENOMICS, V16, DOI 10.1186/s12864-015-1434-3
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Zhang H., 2019, APPL ENVIRON MICROB, V2019
Zhang R, 2007, FEMS MICROBIOL ECOL, V61, P496, DOI 10.1111/j.1574-6941.2007.00353.x
Zhang X, 2016, MICROBIOME, V4, DOI 10.1186/s40168-016-0176-z
Zhu Y, 2013, ANAL CHIM ACTA, V794, P47, DOI 10.1016/j.aca.2013.08.009
NR 50
TC 5
Z9 5
PD MAR 25
PY 2021
VL 12
AR 629802
DI 10.3389/fmicb.2021.629802
UT WOS:000638272700001
DA 2025-07-30
ER
PT J
AU Clingenpeel, S
Macur, RE
Kan, JJ
Inskeep, WP
Lovalvo, D
Varley, J
Mathur, E
Nealson, K
Gorby, Y
Jiang, HC
LaFracois, T
McDermott, TR
AF Clingenpeel, Scott
Macur, Richard E.
Kan, Jinjun
Inskeep, William P.
Lovalvo, Dave
Varley, John
Mathur, Eric
Nealson, Kenneth
Gorby, Yuri
Jiang, Hongchen
LaFracois, Toben
McDermott, Timothy R.
TI Yellowstone Lake: high-energy geochemistry and rich bacterial diversity
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Yellowstone Lake is central to the balanced functioning of the Yellowstone ecosystem, yet little is known about the microbial component of its food chain. A remotely operated vehicle provided video documentation (http://www.tbi.montana.edu/media/videos/) and allowed sampling of dilute surface zone waters and enriched lake floor hydrothermal vent fluids. Vent emissions contained substantial H2S, CH4, CO2 and H-2, although CH4 and H-2 levels were also significant throughout the lake. Pyrosequencing and near full-length sequencing of Bacteria 16S rRNA gene diversity associated with two vents and two surface water environments demonstrated that this lake contains significant bacterial diversity. Biomass was size-fractionated by sequentially filtering through 20-mu m-, 3.0-mu m-, 0.8-mu m- and 0.1-mu m-pore-size filters, with the > 0.1 to < 0.8 mu m size class being the focus of this study. Major phyla included Acidobacteria, Actinobacteria, Bacteroidetes, alpha- and beta-Proteobacteria and Cyanobacteria, with 21 other phyla represented at varying levels. Surface waters were dominated by two phylotypes: the Actinobacteria freshwater acI group and an alpha-Proteobacteria clade tightly linked with freshwater SAR11-like organisms. We also obtained evidence of novel thermophiles and recovered Prochlorococcus phylotypes (97-100% identity) in one near surface photic zone region of the lake. The combined geochemical and microbial analyses suggest that the foundation of this lake's food chain is not simple. Phototrophy presumably is an important driver of primary productivity in photic zone waters; however, chemosynthetic hydrogenotrophy and methanotrophy are likely important components of the lake's food chain.
C1 [Clingenpeel, Scott; Macur, Richard E.; Inskeep, William P.; McDermott, Timothy R.] Montana State Univ, Thermal Biol Inst, Bozeman, MT 59717 USA.
[Varley, John] Montana State Univ, Big Sky Inst, Bozeman, MT 59717 USA.
[Kan, Jinjun; Nealson, Kenneth] Univ So Calif, Dept Earth Sci, Los Angeles, CA 90089 USA.
[Lovalvo, Dave] Eastern Ocean, W Redding, CT 06896 USA.
[Mathur, Eric] Synthet Genom, La Jolla, CA 92037 USA.
[Nealson, Kenneth; Gorby, Yuri] Craig Venter Inst, San Diego, CA 92121 USA.
[LaFracois, Toben] St Croix Watershed Res Stn, St Croix, MN 55047 USA.
[Jiang, Hongchen] China Univ Geosci, Sch Earth Sci & Resources, Geomicrobiol Lab, Beijing 100083, Peoples R China.
RP McDermott, TR (corresponding author), Montana State Univ, Thermal Biol Inst, Bozeman, MT 59717 USA.
EM timmcder@montana.edu
CR Aguilar C., 2002, YELLOWSTONE LAKE HOT, P1
Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
[Anonymous], 1893, B US FISH COMM
[Anonymous], 1961, 56 US FISH WILDL SER
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Bastviken D, 2003, ECOLOGY, V84, P969, DOI 10.1890/0012-9658(2003)084[0969:MAASOC]2.0.CO;2
BOWMAN J, 2006, PROKARYOTES HDB BIOL, V2, P266
Burkert U, 2003, APPL ENVIRON MICROB, V69, P6550, DOI 10.1128/AEM.69.11.6550-6559.2003
Christiansen R.L., 2001, QUATERNARY PLIOCENE, DOI DOI 10.3133/PP729G
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
CONRAD R, 1983, FEMS MICROBIOL LETT, V18, P207
Corzo A, 1999, J PLANKTON RES, V21, P1575, DOI 10.1093/plankt/21.8.1575
CRANE K, 1991, NATURE, V350, P281, DOI 10.1038/350281a0
Cuhel R., 2002, YELLOWSTONE LAKE, P27
D'Imperio S, 2008, APPL ENVIRON MICROB, V74, P5802, DOI 10.1128/AEM.00852-08
DADAY A, 1977, APPL ENVIRON MICROB, V34, P478, DOI 10.1128/AEM.34.5.478-483.1977
DYMOND J, 1989, NATURE, V342, P673, DOI 10.1038/342673a0
Farrell J, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044605
Hahn MW, 2005, APPL ENVIRON MICROB, V71, P4539, DOI 10.1128/AEM.71.8.4539-4547.2005
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Hanson RS, 1996, MICROBIOL REV, V60, P439, DOI 10.1128/MMBR.60.2.439-471.1996
Hirayama H, 2005, EXTREMOPHILES, V9, P169, DOI 10.1007/s00792-005-0433-8
HOUCHINS JP, 1981, PLANT PHYSIOL, V68, P712, DOI 10.1104/pp.68.3.712
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Inskeep WP, 2005, GEOBIOLOGY, V3, P297, DOI 10.1111/j.1472-4669.2006.00059.x
INSKEEP WP, 2003, GEOTHERMAL BIOL GEOC
Interlandi SJ, 2003, LIMNOL OCEANOGR, V48, P79, DOI 10.4319/lo.2003.48.1.0079
Interlandi SJ, 2001, ECOLOGY, V82, P1270, DOI 10.1890/0012-9658(2001)082[1270:LRATRO]2.0.CO;2
Interlandi SJ, 1999, LIMNOL OCEANOGR, V44, P668, DOI 10.4319/lo.1999.44.3.0668
Jones B, 2007, J GEOL SOC LONDON, V164, P227, DOI 10.1144/0016-76492005-102
Kankaala P, 2006, LIMNOL OCEANOGR, V51, P1195, DOI 10.4319/lo.2006.51.2.1195
Kankaala P, 2006, LIMNOL OCEANOGR, V51, P2821, DOI 10.4319/lo.2006.51.6.2821
Kilham SS, 1996, LIMNOL OCEANOGR, V41, P1052, DOI 10.4319/lo.1996.41.5.1052
Kunin V, 2010, ENVIRON MICROBIOL, V12, P118, DOI 10.1111/j.1462-2920.2009.02051.x
Langner HW, 2001, ENVIRON SCI TECHNOL, V35, P3302, DOI 10.1021/es0105562
Lidstrom ME, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 2, THIRD EDITION, P618, DOI 10.1007/0-387-30742-7_20
Liu ZZ, 2007, NUCLEIC ACIDS RES, V35, DOI 10.1093/nar/gkm541
Liu ZZ, 2008, NUCLEIC ACIDS RES, V36, DOI 10.1093/nar/gkn491
Lovalvo D, 2010, GEOBIOLOGY, V8, P327, DOI 10.1111/j.1472-4669.2010.00244.x
Macur RE, 2004, GEOBIOLOGY, V2, P163, DOI 10.1111/j.1472-4677.2004.00032.x
MAKI JS, 2002, YELLOWSTONE LAKE HOT, P101
Melis A, 2001, PLANT PHYSIOL, V127, P740, DOI 10.1104/pp.010498
Morgan L. A., 2007, INTEGRATED GEOSCIENC, P173
Morgan L.A., 2007, Integrated Geoscience Studies in the Greater Yellowstone Area - Volcanic, Tectonic, P95
Morgan LA, 2003, J VOLCANOL GEOTH RES, V122, P221, DOI 10.1016/S0377-0273(02)00503-6
MORGAN P, 1977, J GEOPHYS RES, V82, P3719, DOI 10.1029/JB082i026p03719
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Newton RJ, 2007, APPL ENVIRON MICROB, V73, P7169, DOI 10.1128/AEM.00794-07
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
OREMLAND RS, 1983, APPL ENVIRON MICROB, V45, P1519, DOI 10.1128/AEM.45.5.1519-1525.1983
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
REMSEN CC, 1990, NATL GEOGR RES, V6, P509
Remsen Charles C., 2002, Yellowstone Lake: Hotbed of chaos or reservoir of resilience, P192
Roesch LF, 2007, ISME J, V1, P283, DOI 10.1038/ismej.2007.53
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schullery P., 1995, YELLOWSTONE LAKE CRI, P12
Schwartz E, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 2, THIRD EDITION, P496, DOI 10.1007/0-387-30742-7_17
SHANKS W.C., 2005, Geothermal biology and geochemistry in Yellowstone National Park. Proceedings of the Thermal Biology Institute Workshop, P53
SHANKS WC, 1992, GEOLOGY, V20, P495, DOI 10.1130/0091-7613(1992)020<0495:TSILB>2.3.CO;2
Smith R.B., 2000, WINDOWS EARTH GEOLOG
Spear JR, 2005, P NATL ACAD SCI USA, V102, P2555, DOI 10.1073/pnas.0409574102
Sundh I, 2005, APPL ENVIRON MICROB, V71, P6746, DOI 10.1128/AEM.71.11.6746-6752.2005
Taipale S, 2007, ECOSYSTEMS, V10, P757, DOI 10.1007/s10021-007-9056-5
Theriot EC, 1997, ARCTIC ALPINE RES, V29, P304, DOI 10.2307/1552145
Varley J. D., 1998, YELLOWSTONE FISHES E
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
WINFREY MR, 1977, APPL ENVIRON MICROB, V33, P312, DOI 10.1128/AEM.33.2.312-318.1977
Woodbury L. A, 1934, THESIS U UTAH SALT L
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 76
TC 40
Z9 44
PD AUG
PY 2011
VL 13
IS 8
BP 2172
EP 2185
DI 10.1111/j.1462-2920.2011.02466.x
UT WOS:000294075600019
DA 2025-07-30
ER
PT J
AU Wang, K
Hu, HJ
Yan, HZ
Hou, DD
Wang, YT
Dong, PS
Zhang, DM
AF Wang, Kai
Hu, Hanjing
Yan, Huizhen
Hou, Dandi
Wang, Yanting
Dong, Pengsheng
Zhang, Demin
TI Archaeal biogeography and interactions with microbial community across
complex subtropical coastal waters
SO MOLECULAR ECOLOGY
DT Article
AB Marine Archaea are crucial in biogeochemical cycles, but their horizontal spatial variability, assembly processes, and microbial associations across complex coastal waters still lack characterizations at high coverage. Using a dense sampling strategy, we investigated horizontal variability in total archaeal, Thaumarchaeota Marine Group (MG) I, and Euryarchaeota MGII communities and associations of MGI/MGII with other microbes in surface waters with contrasting environmental characteristics across ~200 km by 16S rRNA gene amplicon sequencing. Total archaeal communities were extremely dominated by MGI and/or MGII (98.9% in average relative abundance). Niche partitioning between MGI and MGII or within each group was found across multiple environmental gradients. "Selection" was more important than "dispersal limitation" in governing biogeographic patterns of total archaeal, MGI, and MGII communities, and basic abiotic parameters (such as salinity) and inorganic/organic resources as a whole could be the main driver of "selection". While "homogenizing dispersal" also considerably governed their biogeography. MGI-Nitrospira assemblages were speculatively responsible for complete nitrification. MGI taxa commonly had negative correlations with members of Synechococcus but positive correlations with members of eukaryotic phytoplankton, suggesting that competition or synergy between MGI and phytoplankton depends on specific MGI-phytoplankton assemblages. MGII taxa showed common associations with presumed (photo)heterotrophs including members of SAR11, SAR86, SAR406, and Candidatus Actinomarina. This study sheds light on ecological processes and drivers shaping archaeal biogeography and many strong MGI/MGII-bacterial associations across complex subtropical coastal waters. Future efforts should be made on seasonality of archaeal biogeography and biological, environmental, or ecological mechanisms underlying these statistical microbial associations.
C1 [Wang, Kai; Hu, Hanjing; Yan, Huizhen; Hou, Dandi; Wang, Yanting; Dong, Pengsheng; Zhang, Demin] Ningbo Univ, Sch Marine Sci, Ningbo, Zhejiang, Peoples R China.
[Wang, Kai; Hu, Hanjing; Zhang, Demin] Collaborat Innovat Ctr Zhejiang Marine High Effic, Ningbo, Zhejiang, Peoples R China.
RP Wang, K (corresponding author), Ningbo Univ, Sch Marine Sci, Ningbo, Zhejiang, Peoples R China.; Zhang, DM (corresponding author), Collaborat Innovat Ctr Zhejiang Marine High Effic, Ningbo, Zhejiang, Peoples R China.
EM wangkai@nbu.edu.cn; zhangdemin@nbu.edu.cn
CR Anderson MJ, 2011, ECOL LETT, V14, P19, DOI 10.1111/j.1461-0248.2010.01552.x
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Beman JM, 2008, ISME J, V2, P429, DOI 10.1038/ismej.2007.118
Bokulich NA, 2013, NAT METHODS, V10, P57, DOI [10.1038/NMETH.2276, 10.1038/nmeth.2276]
Bouskill NJ, 2012, ENVIRON MICROBIOL, V14, P714, DOI 10.1111/j.1462-2920.2011.02623.x
Bristow LA, 2015, LIMNOL OCEANOGR, V60, P1733, DOI 10.1002/lno.10130
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chase JM, 2011, ECOSPHERE, V2, DOI 10.1890/ES10-00117.1
Christman GD, 2011, APPL ENVIRON MICROB, V77, P2026, DOI 10.1128/AEM.01907-10
Daims H, 2016, TRENDS MICROBIOL, V24, P699, DOI 10.1016/j.tim.2016.05.004
Daims H, 2015, NATURE, V528, P504, DOI 10.1038/nature16461
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Fillol M, 2016, ISME J, V10, P665, DOI 10.1038/ismej.2015.143
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Gilbert B, 2010, J APPL ECOL, V47, P1071, DOI 10.1111/j.1365-2664.2010.01861.x
Gillies LE, 2015, ENVIRON MICROBIOL, V17, P3847, DOI 10.1111/1462-2920.12853
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Hawley AK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01376-9
Herfort L, 2007, FEMS MICROBIOL ECOL, V62, P242, DOI 10.1111/j.1574-6941.2007.00397.x
Hollibaugh JT, 2014, ISME J, V8, P685, DOI 10.1038/ismej.2013.171
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kim JG, 2016, P NATL ACAD SCI USA, V113, P7888, DOI 10.1073/pnas.1605501113
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kuypers MMM, 2018, NAT REV MICROBIOL, V16, P263, DOI 10.1038/nrmicro.2018.9
Langenheder S, 2007, ECOLOGY, V88, P2154, DOI 10.1890/06-2098.1
Legendre P, 2005, ECOL MONOGR, V75, P435, DOI 10.1890/05-0549
Legendre P, 2009, ECOLOGY, V90, P663, DOI 10.1890/07-1880.1
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Lindström ES, 2012, ENV MICROBIOL REP, V4, P1, DOI 10.1111/j.1758-2229.2011.00257.x
Liu HD, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01098
Liu JW, 2014, FEMS MICROBIOL ECOL, V90, P424, DOI 10.1111/1574-6941.12404
Liu Q, 2018, ISME J, V12, P1473, DOI 10.1038/s41396-018-0066-4
Liu XB, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0488-2
Liu XB, 2018, SCI TOTAL ENVIRON, V637, P349, DOI 10.1016/j.scitotenv.2018.05.016
Liu YY, 2018, SYST APPL MICROBIOL, V41, P658, DOI 10.1016/j.syapm.2018.08.008
Logares R, 2018, ENVIRON MICROBIOL, V20, P2231, DOI 10.1111/1462-2920.14265
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Martin-Cuadrado AB, 2008, ISME J, V2, P865, DOI 10.1038/ismej.2008.40
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Merbt SN, 2012, FEMS MICROBIOL LETT, V327, P41, DOI 10.1111/j.1574-6968.2011.02457.x
Mestre M, 2017, MOL ECOL, V26, P6827, DOI 10.1111/mec.14421
Murray AE, 1999, AQUAT MICROB ECOL, V18, P263, DOI 10.3354/ame018263
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Parada AE, 2017, ISME J, V11, P2510, DOI 10.1038/ismej.2017.104
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paulson JN, 2013, NAT METHODS, V10, P1200, DOI [10.1038/NMETH.2658, 10.1038/nmeth.2658]
Peres-Neto PR, 2006, ECOLOGY, V87, P2614, DOI 10.1890/0012-9658(2006)87[2614:VPOSDM]2.0.CO;2
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Qin W, 2014, P NATL ACAD SCI USA, V111, P12504, DOI 10.1073/pnas.1324115111
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Robidart JC, 2012, ISME J, V6, P513, DOI 10.1038/ismej.2011.127
Smith JM, 2014, ISME J, V8, P1704, DOI 10.1038/ismej.2014.11
Smith TW, 2010, ECOGRAPHY, V33, P648, DOI 10.1111/j.1600-0587.2009.06105.x
Sorokin DY, 2014, INT J SYST EVOL MICR, V64, P1859, DOI 10.1099/ijs.0.062232-0
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Stegen JC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00370
Stegen JC, 2013, ISME J, V7, P2069, DOI 10.1038/ismej.2013.93
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
Stegen JC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0020906
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tolar BB, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00072
Tully BJ, 2012, ENVIRON MICROBIOL, V14, P254, DOI 10.1111/j.1462-2920.2011.02628.x
Van der Gucht K, 2007, P NATL ACAD SCI USA, V104, P20404, DOI 10.1073/pnas.0707200104
van Kessel MAHJ, 2015, NATURE, V528, P555, DOI 10.1038/nature16459
Vellend M, 2010, Q REV BIOL, V85, P183, DOI 10.1086/652373
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wang K, 2015, ENVIRON MICROBIOL, V17, P3898, DOI 10.1111/1462-2920.12884
Weiss S, 2016, ISME J, V10, P1669, DOI 10.1038/ismej.2015.235
Wells LE, 2006, LIMNOL OCEANOGR, V51, P47, DOI 10.4319/lo.2006.51.1.0047
Wu WX, 2018, ISME J, V12, P485, DOI 10.1038/ismej.2017.183
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
Yu SL, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00137
Yu TT, 2018, P NATL ACAD SCI USA, V115, P6022, DOI 10.1073/pnas.1718854115
Zhang CLL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01108
Zhang HJ, 2018, SCI TOTAL ENVIRON, V635, P618, DOI 10.1016/j.scitotenv.2018.04.142
Zhang QF, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01180
Zhang Y, 2016, APPL MICROBIOL BIOT, V100, P6035, DOI 10.1007/s00253-016-7421-z
Zhou JZ, 2017, MICROBIOL MOL BIOL R, V81, DOI 10.1128/MMBR.00002-17
NR 95
TC 29
Z9 34
PD JUN
PY 2019
VL 28
IS 12
BP 3101
EP 3118
DI 10.1111/mec.15105
UT WOS:000475983100012
DA 2025-07-30
ER
PT J
AU Vergin, KL
Jhirad, N
Dodge, J
Carlson, CA
Giovannoni, SJ
AF Vergin, Kevin L.
Jhirad, Nicholas
Dodge, Jonathon
Carlson, Craig A.
Giovannoni, Stephen J.
TI Marine bacterioplankton consortia follow deterministic, non-neutral
community assembly rules
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB The Bermuda Atlantic Time-series Study site provided an opportunity to study bacterial community assembly processes at 2 different depths, the surface and 200 m, in the upper mesopelagic, just below the euphotic zone. Over 100 monthly bacterioplankton DNA samples, from each depth, were analyzed using 16S rRNA gene sequences parsed with the custom software package PhyloAssigner. Co-occurrence networks, filtered for potential autocorrelation artifacts, were constructed for each depth. Network characteristics for the 2 depths were remarkably similar, and network parameters, such as connectance, were in the same range as previously published for ecological networks. Spectral clustering applied to similarity matrices based on exact connections revealed clusters of nodal taxonomic units (NTUs) that peaked at similar times, supporting deterministic, niche-based assembly. An algorithm that used hierarchical Dirichlet processes (HDPs) to model neutral communities based on learned parameters indicated that community assembly processes fit niche-based models at the metacommunity level for both depths. However, HDP analyses restricted to SAR11, SAR86, or SAR202 NTUs supported the neutral assembly hypothesis, suggesting that neutral process models may apply within some phylogenetic domains. To understand whether phylogenetically related taxa can substitute for one another in networks, we created a new metric, phylogenetically weighted connectivity, which considered the similarity of connections among near phylogenetic neighbors. This analysis suggested that phylogenetically similar lineages share similar network connections. Overall, our findings show that niche-based community assembly models are the best fit at both depths but that the neutral model may apply at some phylogenetic scales.
C1 [Vergin, Kevin L.; Jhirad, Nicholas; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Dodge, Jonathon] Oregon State Univ, Dept Comp Sci, Corvallis, OR 97331 USA.
[Carlson, Craig A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Barberán A, 2012, ISME J, V6, P343, DOI 10.1038/ismej.2011.119
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Clarke KR., 2006, PRIMER VERSION 7 USE
Dini-Andreote F, 2014, ISME J, V8, P1989, DOI 10.1038/ismej.2014.54
Dunne JA, 2004, MAR ECOL PROG SER, V273, P291, DOI 10.3354/meps273291
Dunne JA, 2002, ECOL LETT, V5, P558, DOI 10.1046/j.1461-0248.2002.00354.x
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Faust K, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002606
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gravel D, 2006, ECOL LETT, V9, P399, DOI 10.1111/j.1461-0248.2006.00884.x
Hankin RKS, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i12
Harris K, 2017, P IEEE, V105, P516, DOI 10.1109/JPROC.2015.2428213
Hellweger FL, 2014, SCIENCE, V345, P1346, DOI 10.1126/science.1254421
Hubbell Stephen P., 2001, V32, pi
KEDDY PA, 1992, J VEG SCI, V3, P157, DOI 10.2307/3235676
Koeppel AF, 2013, NUCLEIC ACIDS RES, V41, P5175, DOI 10.1093/nar/gkt241
Langfelder P, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-559
Lomas MW, 2013, DEEP-SEA RES PT II, V93, P16, DOI 10.1016/j.dsr2.2013.01.008
Manrique JM, 2017, MOL PHYLOGENET EVOL, V107, P324, DOI 10.1016/j.ympev.2016.11.015
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morrison-Whittle P, 2015, ISME J, V9, P2003, DOI 10.1038/ismej.2015.18
Mouquet N, 2012, BIOL REV, V87, P769, DOI 10.1111/j.1469-185X.2012.00224.x
Odum EP., 1953, Fundamentals of ecology
Ofiteru ID, 2010, P NATL ACAD SCI USA, V107, P15345, DOI 10.1073/pnas.1000604107
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Rodriguez-Lanetty M, 2013, MOL ECOL, V22, P4349, DOI 10.1111/mec.12392
Ruan QS, 2006, BIOINFORMATICS, V22, P2532, DOI 10.1093/bioinformatics/btl417
Said MR, 2004, P NATL ACAD SCI USA, V101, P18006, DOI 10.1073/pnas.0405996101
Schlitzer R., 2014, Ocean Data View
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Stegen JC, 2013, ISME J, V7, P2069, DOI 10.1038/ismej.2013.93
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Vanwonterghem I, 2014, CURR OPIN BIOTECH, V27, P55, DOI 10.1016/j.copbio.2013.11.004
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wennekes PL, 2012, ACTA BIOTHEOR, V60, P257, DOI 10.1007/s10441-012-9144-6
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
NR 39
TC 10
Z9 10
PY 2017
VL 79
IS 2
BP 165
EP 175
DI 10.3354/ame01824
UT WOS:000402654000007
DA 2025-07-30
ER
PT J
AU Dupont, CL
Larsson, J
Yooseph, S
Ininbergs, K
Goll, J
Asplund-Samuelsson, J
McCrow, JP
Celepli, N
Allen, LZ
Ekman, M
Lucas, AJ
Hagström, Å
Thiagarajan, M
Brindefalk, B
Richter, AR
Andersson, AF
Tenney, A
Lundin, D
Tovchigrechko, A
Nylander, JAA
Brami, D
Badger, JH
Allen, AE
Rusch, DB
Hoffman, J
Norrby, E
Friedman, R
Pinhassi, J
Venter, JC
Bergman, B
AF Dupont, Chris L.
Larsson, John
Yooseph, Shibu
Ininbergs, Karolina
Goll, Johannes
Asplund-Samuelsson, Johannes
McCrow, John P.
Celepli, Narin
Allen, Lisa Zeigler
Ekman, Martin
Lucas, Andrew J.
Hagstrom, Ake
Thiagarajan, Mathangi
Brindefalk, Bjorn
Richter, Alexander R.
Andersson, Anders F.
Tenney, Aaron
Lundin, Daniel
Tovchigrechko, Andrey
Nylander, Johan A. A.
Brami, Daniel
Badger, Jonathan H.
Allen, Andrew E.
Rusch, Douglas B.
Hoffman, Jeff
Norrby, Erling
Friedman, Robert
Pinhassi, Jarone
Venter, J. Craig
Bergman, Birgitta
TI Functional Tradeoffs Underpin Salinity-Driven Divergence in Microbial
Community Composition
SO PLOS ONE
DT Article
AB Bacterial community composition and functional potential change subtly across gradients in the surface ocean. In contrast, while there are significant phylogenetic divergences between communities from freshwater and marine habitats, the underlying mechanisms to this phylogenetic structuring yet remain unknown. We hypothesized that the functional potential of natural bacterial communities is linked to this striking divide between microbiomes. To test this hypothesis, metagenomic sequencing of microbial communities along a 1,800 km transect in the Baltic Sea area, encompassing a continuous natural salinity gradient from limnic to fully marine conditions, was explored. Multivariate statistical analyses showed that salinity is the main determinant of dramatic changes in microbial community composition, but also of large scale changes in core metabolic functions of bacteria. Strikingly, genetically and metabolically different pathways for key metabolic processes, such as respiration, biosynthesis of quinones and isoprenoids, glycolysis and osmolyte transport, were differentially abundant at high and low salinities. These shifts in functional capacities were observed at multiple taxonomic levels and within dominant bacterial phyla, while bacteria, such as SAR11, were able to adapt to the entire salinity gradient. We propose that the large differences in central metabolism required at high and low salinities dictate the striking divide between freshwater and marine microbiomes, and that the ability to inhabit different salinity regimes evolved early during bacterial phylogenetic differentiation. These findings significantly advance our understanding of microbial distributions and stress the need to incorporate salinity in future climate change models that predict increased levels of precipitation and a reduction in salinity.
C1 [Dupont, Chris L.; McCrow, John P.; Allen, Lisa Zeigler; Allen, Andrew E.; Friedman, Robert; Venter, J. Craig] J Craig Venter Inst, Microbial & Environm Genom, San Diego, CA USA.
[Larsson, John; Ininbergs, Karolina; Asplund-Samuelsson, Johannes; Celepli, Narin; Ekman, Martin; Brindefalk, Bjorn; Bergman, Birgitta] Stockholm Univ, Dept Ecol Environm & Plant Sci, S-10691 Stockholm, Sweden.
[Yooseph, Shibu; Richter, Alexander R.; Tenney, Aaron; Badger, Jonathan H.] J Craig Venter Inst, Informat Grp, San Diego, CA USA.
[Goll, Johannes; Thiagarajan, Mathangi; Tovchigrechko, Andrey; Rusch, Douglas B.] J Craig Venter Inst, Informat Grp, Rockville, MD USA.
[Lucas, Andrew J.] Univ Calif San Diego, Scripps Inst Oceanog, Marine Phys Lab, San Diego, CA 92103 USA.
[Hagstrom, Ake] Univ Gothenburg, SIME, Gothenburg, Sweden.
[Andersson, Anders F.; Lundin, Daniel] KTH Royal Inst Technol, Sch Biotechnol, Sci Life Lab, Solna, Sweden.
[Nylander, Johan A. A.] Swedish Museum Nat Hist, Dept Biodivers Informat, S-10405 Stockholm, Sweden.
[Norrby, Erling] Royal Swedish Acad Sci, Ctr Hist Sci, Stockholm, Sweden.
[Pinhassi, Jarone] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst, Kalmar, Sweden.
RP Dupont, CL (corresponding author), J Craig Venter Inst, Microbial & Environm Genom, San Diego, CA USA.
EM cdupont@jcvi.org; john.larsson@su.se
CR Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
CHINLEO G, 1992, MAR ECOL PROG SER, V87, P87, DOI 10.3354/meps087087
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
de Leeuw E, 1999, MOL MICROBIOL, V31, P983, DOI 10.1046/j.1365-2958.1999.01245.x
Debroas D, 2011, HDB MOL MICROBIAL EC, VII, P287
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
Dinsdale EA, 2008, NATURE, V452, P629, DOI 10.1038/nature06810
Eiler A, 2014, ENVIRON MICROBIOL, V16, P2682, DOI 10.1111/1462-2920.12301
Flamholz A, 2013, P NATL ACAD SCI USA, V110, P10039, DOI 10.1073/pnas.1215283110
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Gianoulis TA, 2009, P NATL ACAD SCI USA, V106, P1374, DOI 10.1073/pnas.0808022106
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Goll J, 2010, BIOINFORMATICS, V26, P2631, DOI 10.1093/bioinformatics/btq455
Grote J, 2012, MBIO, V3
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hewson I, 2009, LIMNOL OCEANOGR, V54, P1981, DOI 10.4319/lo.2009.54.6.1981
Kogure K, 1998, CURR OPIN BIOTECH, V9, P278, DOI 10.1016/S0958-1669(98)80059-1
Langenheder S, 2003, FEMS MICROBIOL ECOL, V45, P189, DOI 10.1016/S0168-6496(03)00149-1
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Meier HEM, 2012, CLIM DYNAM, V39, P2421, DOI 10.1007/s00382-012-1339-7
Meier HEM, 2006, CLIM DYNAM, V27, P39, DOI 10.1007/s003S2-006-0124-x
Molina N, 2009, TRENDS GENET, V25, P243, DOI 10.1016/j.tig.2009.04.004
Morgan JL, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010209
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Neehaul Y, 2012, BIOCHEMISTRY-US, V51, P4072, DOI 10.1021/bi300343u
Odom AR, 2011, PLOS PATHOG, V7, DOI [10.1371/journal.ppat.1002323, DOI 10.1371/J0URNAL.PPAT.1002323]
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Patel PV, 2010, GENOME RES, V20, P960, DOI 10.1101/gr.102814.109
Raes J, 2011, MOL SYST BIOL, V7
Ram ASP, 2003, MICROBIAL ECOL, V45, P88, DOI 10.1007/s00248-002-3005-9
Reissmann JH, 2009, PROG OCEANOGR, V82, P47, DOI 10.1016/j.pocean.2007.10.004
Remane A, 1934, VERHANDLUNGEN DTSCH
Rivkin RB, 2001, SCIENCE, V291, P2398, DOI 10.1126/science.291.5512.2398
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Soballe B, 1999, MICROBIOL-SGM, V145, P1817, DOI 10.1099/13500872-145-8-1817
Tanenbaum DM, 2010, STAND GENOMIC SCI, V2, P229, DOI 10.4056/sigs.651139
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wu M, 2012, BIOINFORMATICS, V28, P1033, DOI 10.1093/bioinformatics/bts079
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 45
TC 157
Z9 171
PD FEB 27
PY 2014
VL 9
IS 2
AR e89549
DI 10.1371/journal.pone.0089549
UT WOS:000332390800027
DA 2025-07-30
ER
PT J
AU Wu, LY
Piedade, GJ
Moore, RM
Harrison, AO
Martins, AM
Bidle, KD
Polson, SW
Sakowski, EG
Nissimov, JI
Dums, JT
Ferrell, BD
Wommack, KE
AF Wu, Ling-Yi
Piedade, Goncalo J.
Moore, Ryan M.
Harrison, Amelia O.
Martins, Ana M.
Bidle, Kay D.
Polson, Shawn W.
Sakowski, Eric G.
Nissimov, Jozef I.
Dums, Jacob T.
Ferrell, Barbra D.
Wommack, K. Eric
TI Ubiquitous, B12-dependent virioplankton utilizing
ribonucleotide-triphosphate reductase demonstrate interseasonal dynamics
and associate with a diverse range of bacterial hosts in the pelagic
ocean
SO ISME COMMUNICATIONS
DT Article
AB Through infection and lysis of their coexisting bacterial hosts, viruses impact the biogeochemical cycles sustaining globally significant pelagic oceanic ecosystems. Currently, little is known of the ecological interactions between lytic viruses and their bacterial hosts underlying these biogeochemical impacts at ecosystem scales. This study focused on populations of lytic viruses carrying the B-12-dependent Class II monomeric ribonucleotide reductase (RNR) gene, ribonucleotide-triphosphate reductase (Class II RTPR), documenting seasonal changes in pelagic virioplankton and bacterioplankton using amplicon sequences of Class II RTPR and the 16S rRNA gene, respectively. Amplicon sequence libraries were analyzed using compositional data analysis tools that account for the compositional nature of these data. Both virio- and bacterioplankton communities responded to environmental changes typically seen across seasonal cycles as well as shorter term upwelling-downwelling events. Defining Class II RTPR-carrying viral populations according to major phylogenetic clades proved a more robust means of exploring virioplankton ecology than operational taxonomic units defined by percent sequence homology. Virioplankton Class II RTPR populations showed positive associations with a broad phylogenetic diversity of bacterioplankton including dominant taxa within pelagic oceanic ecosystems such as Prochlorococcus and SAR11. Temporal changes in Class II RTPR virioplankton, occurring as both free viruses and within infected cells, indicated possible viral-host pairs undergoing sustained infection and lysis cycles throughout the seasonal study. Phylogenetic relationships inferred from Class II RTPR sequences mirrored ecological patterns in virio- and bacterioplankton populations demonstrating possible genome to phenome associations for an essential viral replication gene.
C1 [Wu, Ling-Yi] Univ Utrecht, Theoret Biol & Bioinformat, Sci Life 4, Padualaan 8, NL-3584 CH Utrecht, Netherlands.
[Piedade, Goncalo J.] NIOZ Royal Netherlands Inst Sea Res, Dept Marine Microbiol & Biogeochem, NL-1797 SZ Thorntje, Netherlands.
[Piedade, Goncalo J.; Martins, Ana M.] Univ Azores, Dept Oceanog, P-9901862 Faial, Azores, Portugal.
[Piedade, Goncalo J.; Martins, Ana M.] Univ Azores, Fisheries & Ocean Sci Inst, OKEANOS, P-9901862 Faial, Azores, Portugal.
[Moore, Ryan M.; Harrison, Amelia O.; Polson, Shawn W.; Dums, Jacob T.; Ferrell, Barbra D.; Wommack, K. Eric] Univ Delaware, Delaware Biotechnol Inst, 590 Ave 1743, Newark, DE 19713 USA.
[Bidle, Kay D.] Rutgers State Univ, Dept Marine & Coastal Sci, 71 Dudley Rd, New Brunswick, NJ 08901 USA.
[Sakowski, Eric G.] Johns Hopkins Univ, Dept Earth Sci, Baltimore, MD USA.
[Nissimov, Jozef I.] Univ Waterloo, Dept Biol, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
[Dums, Jacob T.] North Carolina State Univ, Biotechnol Program, 2800 Faucette Dr, Raleigh, NC 27695 USA.
RP Wommack, KE (corresponding author), Univ Delaware, Delaware Biotechnol Inst, 590 Ave 1743, Newark, DE 19713 USA.
EM wommack@udel.edu
CR Adriaenssens EM, 2014, APPL ENVIRON MICROB, V80, P4470, DOI 10.1128/AEM.00878-14
Alberti A, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.93
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
[Anonymous], Publication Reports - EcosystemOverview_Azores_2019, DOI [10.17895/ices.advice.5753, DOI 10.17895/ICES.ADVICE.5753]
Arístegui J, 2009, DEEP-SEA RES PT II, V56, P2646, DOI 10.1016/j.dsr2.2008.12.025
Baith K., 2001, Eos, Transactions, American Geophysical Union, V82, P202, DOI [10.1029/01EO00109, DOI 10.1029/01EO00109]
Ban N, 2008, AQUAT CONSERV, V18, P55, DOI 10.1002/aqc.816
Baran N, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0045-y
Bashmachnikov I, 2013, REMOTE SENS ENVIRON, V137, P55, DOI 10.1016/j.rse.2013.05.025
Bateman A, 2021, NUCLEIC ACIDS RES, V49, pD480, DOI 10.1093/nar/gkaa1100
Bian GR, 2017, MSPHERE, V2, DOI [10.1128/mSphere.00327-17, 10.1128/msphere.00327-17]
Bidle KD, 2014, P NATL ACAD SCI USA, V111, P15606, DOI 10.1073/pnas.1417243111
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P3700, DOI 10.1128/aem.70.6.3700-3705.2004
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carlson MCG, 2022, NAT MICROBIOL, V7, P570, DOI 10.1038/s41564-022-01088-x
Chen F, 2002, APPL ENVIRON MICROB, V68, P2589, DOI 10.1128/AEM.68.5.2589-2594.2002
Comeau AM, 2008, MOL BIOL EVOL, V25, P1321, DOI 10.1093/molbev/msn080
Crummett LT, 2016, VIROLOGY, V499, P219, DOI 10.1016/j.virol.2016.09.016
Dart E, 2023, VIRUSES-BASEL, V15, DOI 10.3390/v15020581
Dedeo CL, 2019, ANNU REV VIROL, V6, P141, DOI 10.1146/annurev-virology-092818-015819
Díez B, 2001, APPL ENVIRON MICROB, V67, P2932, DOI 10.1128/AEM.67.7.2932-2941.2001
Doxey AC, 2015, ISME J, V9, P461, DOI 10.1038/ismej.2014.142
Dwivedi B, 2013, BMC EVOL BIOL, V13, DOI 10.1186/1471-2148-13-33
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Erb I, 2016, THEOR BIOSCI, V135, P21, DOI 10.1007/s12064-015-0220-8
Fadrosh DW, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-6
Fernandes AD, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-15
Forterre P, 2005, BIOCHIMIE, V87, P793, DOI 10.1016/j.biochi.2005.03.015
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Giovannoni SJ, 2012, P NATL ACAD SCI USA, V109, P13888, DOI 10.1073/pnas.1211722109
Gloor GB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02224
Gloor GB, 2016, CAN J MICROBIOL, V62, P692, DOI 10.1139/cjm-2015-0821
Goldin S, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01210
GOLDMAN JC, 1984, B MAR SCI, V35, P462
Grossman A, 2016, CURR BIOL, V26, pR319, DOI 10.1016/j.cub.2016.02.047
Gu ZG, 2016, BIOINFORMATICS, V32, P2847, DOI 10.1093/bioinformatics/btw313
Harrison AO, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00134
Hatfull GF, 2008, CURR OPIN MICROBIOL, V11, P447, DOI 10.1016/j.mib.2008.09.004
Heal KR, 2017, P NATL ACAD SCI USA, V114, P364, DOI 10.1073/pnas.1608462114
Helliwell KE, 2016, CURR BIOL, V26, P999, DOI 10.1016/j.cub.2016.02.041
Herrick J, 2007, MOL MICROBIOL, V63, P22, DOI 10.1111/j.1365-2958.2006.05493.x
HUANG RX, 1994, J PHYS OCEANOGR, V24, P2589, DOI 10.1175/1520-0485(1994)024<2589:VOTSNP>2.0.CO;2
Hurwitz BL, 2016, CURR OPIN MICROBIOL, V31, P161, DOI 10.1016/j.mib.2016.04.002
Iker BC, 2016, SPRINGER PROTOC HAND, P315, DOI 10.1007/978-1-4939-3185-9_22
Jiang SC, 1998, APPL ENVIRON MICROB, V64, P2780
Joglar V, 2021, ENVIRON MICROBIOL, V23, P1559, DOI 10.1111/1462-2920.15367
Kang S, 2016, SCI REP-UK, V6, DOI 10.1038/srep38263
Lara E, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602565
Li DJ, 2004, AMBIO, V33, P107
Liu L, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix119
Lundin Daniel, 2015, Life-Basel, V5, P604, DOI 10.3390/life5010604
Lundin D, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-383
Lundin D, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-589
Madigan MichaelT., 2003, BROCK BIOL MICROORGA, V10, P1019
MANTEL N, 1967, CANCER RES, V27, P209
Marie D., 1999, CURRENT PROTOCOLS CY, V10, P11, DOI DOI 10.1002/0471142956.CY1111-10
Marston MF, 2003, APPL ENVIRON MICROB, V69, P4639, DOI 10.1128/AEM.69.8.4639-4647.2003
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Mathews CK, 2014, FASEB J, V28, P3832, DOI 10.1096/fj.14-251249
McClain CR, 2004, DEEP-SEA RES PT II, V51, P281, DOI 10.1016/j.dsr2.2003.08.002
McLaren MR, 2019, ELIFE, V8, DOI 10.7554/eLife.46923
McMurdie PJ, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003531
Mendonça A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0029526
Mitra RD, 2003, ANAL BIOCHEM, V320, P55, DOI 10.1016/S0003-2697(03)00291-4
Moore R M., 2021, bioRxiv, DOI DOI 10.1101/2021.01.20.427478
Moore RM, 2020, PEERJ, V8, DOI 10.7717/peerj.8584
Mruwat N, 2021, ISME J, V15, P41, DOI 10.1038/s41396-020-00752-6
Mueller JA, 2014, APPL ENVIRON MICROB, V80, P3930, DOI 10.1128/AEM.00245-14
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Nordlund N, 2006, ANNU REV BIOCHEM, V75, P681, DOI 10.1146/annurev.biochem.75.103004.142443
Ochman H, 2000, NATURE, V405, P299, DOI 10.1038/35012500
Overbeek R, 2014, NUCLEIC ACIDS RES, V42, pD206, DOI 10.1093/nar/gkt1226
Palarea-Albaladejo J, 2015, CHEMOMETR INTELL LAB, V143, P85, DOI 10.1016/j.chemolab.2015.02.019
Poorvin L, 2004, LIMNOL OCEANOGR, V49, P1734, DOI 10.4319/lo.2004.49.5.1734
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quinn TP, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16520-0
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Rohwer F, 2000, LIMNOL OCEANOGR, V45, P408, DOI 10.4319/lo.2000.45.2.0408
Rosenwasser S, 2016, TRENDS MICROBIOL, V24, P821, DOI 10.1016/j.tim.2016.06.006
Sakowski EG, 2021, NAT MICROBIOL, V6, P630, DOI 10.1038/s41564-021-00873-4
Sakowski EG, 2014, P NATL ACAD SCI USA, V111, P15786, DOI 10.1073/pnas.1401322111
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Schlitzer R, 2002, COMPUT GEOSCI-UK, V28, P1211, DOI 10.1016/S0098-3004(02)00040-7
Schmidt HF, 2014, ISME J, V8, P103, DOI 10.1038/ismej.2013.124
Schwartz DA, 2017, ISME J, V11, P1836, DOI 10.1038/ismej.2017.47
Shapiro JW, 2018, MBIO, V9, DOI 10.1128/mBio.01870-17
Sherr E., 2008, Microbial Ecology of the Oceans, DOI DOI 10.1002/9780470281840.CH2
Short CM, 2005, APPL ENVIRON MICROB, V71, P480, DOI 10.1128/AEM.71.1.480-486.2005
Sokolovskaya OM, 2020, SCIENCE, V369, P48, DOI 10.1126/science.aba0165
Sotillo MG, 2015, J OPER OCEANOGR, V8, P63, DOI 10.1080/1755876X.2015.1014663
Stubbe J, 2000, CURR OPIN STRUC BIOL, V10, P731, DOI 10.1016/S0959-440X(00)00153-6
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Thyng KM, 2016, OCEANOGRAPHY, V29, P9, DOI 10.5670/oceanog.2016.66
Torrents E, 2014, FRONT CELL INFECT MI, V4, DOI 10.3389/fcimb.2014.00052
van den Boogaart KG., 2018, Austral Ecol, V26, P32
Varik V, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-10988-6
WEISBURG WG, 1991, J BACTERIOL, V173, P697, DOI 10.1128/JB.173.2.697-703.1991
Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
Wheeler LJ, 2005, DNA REPAIR, V4, P1450, DOI 10.1016/j.dnarep.2005.09.003
Wickham H., 2016, ELEGANT GRAPHICS DAT
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Willis A. D., 2018, bioRxiv, DOI DOI 10.1101/305045
Willis A, 2015, BIOMETRICS, V71, P1042, DOI 10.1111/biom.12332
Wommack KE, 2015, J MICROBIOL, V53, P181, DOI 10.1007/s12275-015-5068-6
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Zhong Y, 2002, APPL ENVIRON MICROB, V68, P1576, DOI 10.1128/AEM.68.4.1576-1584.2002
Zuo YH, 2001, NUCLEIC ACIDS RES, V29, P1017, DOI 10.1093/nar/29.5.1017
NR 113
TC 1
Z9 1
PD OCT 3
PY 2023
VL 3
IS 1
AR 108
DI 10.1038/s43705-023-00306-9
UT WOS:001083649900001
DA 2025-07-30
ER
PT J
AU Zhao, WB
Chen, LR
Huang, XY
Liu, JW
Niu, WT
Zhang, XH
Thompson, F
Xiao, JG
Wang, XL
AF Zhao, Wenbin
Chen, Leiran
Huang, Xiaoyun
Liu, Jiwen
Niu, Wentao
Zhang, Xiao-Hua
Thompson, Fabiano
Xiao, Jiaguang
Wang, Xiaolei
TI Distinct diversity, assembly, and co-occurrence patterns of the
prokaryotic microbiome in coral ecosystems of the South China Sea
SO ECOLOGICAL INDICATORS
DT Article
AB Coral reefs are among the most energetic marine ecosystems, taking a place in ecological balance. Microbes participate in the energy exchange in coral ecosystems, which may affect coral resistance and resilience. However, there is still a lack of understanding regarding the microbial structure between corals and seawater. In this study, microbial structure and interactions in coral and seawater were studied using quantitative PCR and high- throughput sequencing. We found that the abundance and diversity of microbes in corals were higher than those in seawater. Corals, as nonfluidic ecosystems, limited the dispersal of microbes, causing broader stochasticity in the ecological shaping process, whereas ecological drift and homogeneous selection were the most important assembly mechanisms in seawater. The microbial niche width was larger in the coral group than in the seawater group, indicating strong adaptability. A group of microbes (e.g., Caldilineaceae, , Burkholderiaceae, , and Nitrosopumilaceae) ) may become microbial indicators which differentiate seawater samples (e.g., SAR11 and SAR86 clades, Cryomorphaceae), ), which may be due to separated habitats and nutrition. Coral microbes may participate in nitrogen-metabolism to maintain a nitrogen limited microenvironment. Nodes linked in the coral co- occurrence network showed coexisting interactions and higher complexity based on the comparison of topological values. Collectively, significant differences in microbial fractions were demonstrated observed in terms of diversity, composition, co-occurrence patterns, assembly processes and predicted functions between coral and seawater samples, showing potential microbial interactions and providing in-depth insights into the meta- community diversity in coral reef ecosystems.
C1 [Zhao, Wenbin; Chen, Leiran; Huang, Xiaoyun; Liu, Jiwen; Zhang, Xiao-Hua; Wang, Xiaolei] Ocean Univ China, Coll Marine Life Sci & Frontiers Sci, Ctr Deep Ocean Multispheres & Earth Syst, Qingdao 266003, Peoples R China.
[Niu, Wentao; Xiao, Jiaguang] Minist Nat Resources, Inst Oceanog 3, Lab Marine Biodivers Res, 178 Daxue Rd, Xiamen 361005, Peoples R China.
[Zhao, Wenbin; Chen, Leiran; Huang, Xiaoyun; Liu, Jiwen; Zhang, Xiao-Hua; Wang, Xiaolei] Ocean Univ China, Inst Evolut & Marine Biodivers, Qingdao 266100, Peoples R China.
[Niu, Wentao; Xiao, Jiaguang] Nansha Isl Coral Reef Ecosyst Natl Observat & Res, Guangzhou 510000, Peoples R China.
[Zhao, Wenbin] Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao, Peoples R China.
[Thompson, Fabiano] Fed Univ Rio de Janeiro UFRJ, Inst Biol, Rio De Janeiro, Brazil.
[Thompson, Fabiano] Fed Univ Rio de Janeiro UFRJ, COPPE, Rio De Janeiro, Brazil.
RP Wang, XL (corresponding author), Ocean Univ China, Coll Marine Life Sci & Frontiers Sci, Ctr Deep Ocean Multispheres & Earth Syst, Qingdao 266003, Peoples R China.; Xiao, JG (corresponding author), Minist Nat Resources, Inst Oceanog 3, Lab Marine Biodivers Res, 178 Daxue Rd, Xiamen 361005, Peoples R China.; Wang, XL (corresponding author), Ocean Univ China, Inst Evolut & Marine Biodivers, Qingdao 266100, Peoples R China.; Xiao, JG (corresponding author), Nansha Isl Coral Reef Ecosyst Natl Observat & Res, Guangzhou 510000, Peoples R China.
EM xiaojiaguang@tio.org.cn; wangxiaolei@ouc.edu.cn
CR Ainsworth TD, 2015, ISME J, V9, P2261, DOI 10.1038/ismej.2015.39
Anthony KRN, 2000, J EXP MAR BIOL ECOL, V252, P221, DOI 10.1016/S0022-0981(00)00237-9
Batstone RT, 2018, ECOLOGY, V99, P1039, DOI 10.1002/ecy.2188
Bednarz VN, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.631244
Bellwood DR, 2019, FUNCT ECOL, V33, P948, DOI 10.1111/1365-2435.13265
Bloem J, 2003, TRACE METALS OTHER, V6, P259
Boilard A, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8111682
Bourne DG, 2016, ANNU REV MICROBIOL, V70, P317, DOI 10.1146/annurev-micro-102215-095440
Cadotte M. W., 2004, Biodiversity and Conservation, V13, P1791, DOI [10.1023/B:BIOC.0000029366.24837.fc, DOI 10.1023/B:BIOC.0000029366.24837.FC]
Cai L, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-20515-w
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chave J, 2004, ECOL LETT, V7, P241, DOI 10.1111/j.1461-0248.2003.00566.x
Chen CP, 2011, ISME J, V5, P728, DOI 10.1038/ismej.2010.151
Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
Church C, 2017, AGR ENV LETT, V2, DOI 10.2134/ael2016.09.0037
Conklin A, 2006, WATER ENVIRON RES, V78, P486, DOI 10.2175/106143006X95393
Díaz-Uriarte R, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-3
Dubé CE, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26543-x
Rios-Del Toro EE, 2018, ENVIRON SCI TECH LET, V5, P571, DOI 10.1021/acs.estlett.8b00330
Fargione J, 2003, P NATL ACAD SCI USA, V100, P8916, DOI 10.1073/pnas.1033107100
Ferrier-Pagès C, 2018, GLOBAL CHANGE BIOL, V24, P3145, DOI 10.1111/gcb.14141
Fiore CL, 2010, TRENDS MICROBIOL, V18, P455, DOI 10.1016/j.tim.2010.07.001
Fisher R, 2015, CURR BIOL, V25, P500, DOI 10.1016/j.cub.2014.12.022
Frias-Lopez J, 2002, APPL ENVIRON MICROB, V68, P2214, DOI 10.1128/AEM.68.5.2214-2228.2002
Furness EN, 2021, ECOL EVOL, V11, P8923, DOI 10.1002/ece3.7730
Gilbert B, 2010, J APPL ECOL, V47, P1071, DOI 10.1111/j.1365-2664.2010.01861.x
Glasl B, 2020, ISME J, V14, P1435, DOI 10.1038/s41396-020-0622-6
Glasl B, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0705-7
Glasl B, 2017, MAR BIOL, V164, DOI 10.1007/s00227-017-3097-x
Herrero A, 2001, J BACTERIOL, V183, P411, DOI 10.1128/JB.183.2.411-425.2001
Huber P, 2020, ISME J, V14, P2951, DOI 10.1038/s41396-020-0723-2
Jiangqi Qu, 2018, IOP Conference Series: Earth and Environmental Science, V170, DOI 10.1088/1755-1315/170/5/052037
Koren O, 2006, APPL ENVIRON MICROB, V72, P5254, DOI 10.1128/AEM.00554-06
Kusdianto H, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.643962
[兰竹虹 lan Zhuhong], 2006, [生态环境, Ecology and Environment], V15, P430
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Larkum A.W.D., 1999, Bulletin-institut Oceanographique Monaco-numero Special.
Lee OO, 2012, APPL ENVIRON MICROB, V78, P7173, DOI 10.1128/AEM.01111-12
Lee STM, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv142
Li CC, 2021, WATER RES, V202, DOI 10.1016/j.watres.2021.117428
Li J, 2014, SCI REP-UK, V4, DOI 10.1038/srep07320
Li J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071301
Li N, 2020, FEMS MICROBIOL ECOL, V96, DOI 10.1093/femsec/fiaa198
Li S, 2008, CHINESE SCI BULL, V53, P295, DOI 10.1007/s11434-007-0514-4
Liu JM, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.1003623
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Liu Y, 2009, WATER ENVIRON J, V23, P189, DOI 10.1111/j.1747-6593.2008.00121.x
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
MacKnight NJ, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02163-5
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Mayer FW, 2010, MAR FRESHWATER RES, V61, P1006, DOI 10.1071/MF09250
Meng J, 2015, MAR CHEM, V168, P124, DOI 10.1016/j.marchem.2014.09.016
Mohamed HF, 2023, ENV MICROBIOL REP, V15, P13, DOI 10.1111/1758-2229.13119
Nelson CE, 2023, ANNU REV MAR SCI, V15, P431, DOI 10.1146/annurev-marine-042121-080917
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Ning DL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18560-z
Ning DL, 2019, P NATL ACAD SCI USA, V116, P16892, DOI 10.1073/pnas.1904623116
Nolan MKB, 2021, ENVIRON MONIT ASSESS, V193, DOI 10.1007/s10661-021-09330-5
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Oladi M, 2021, J HAZARD MATER, V409, DOI 10.1016/j.jhazmat.2020.124993
Olesen JM, 2007, P NATL ACAD SCI USA, V104, P19891, DOI 10.1073/pnas.0706375104
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Pollock FJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07275-x
Pupier CA, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.657759
Qin QL, 2019, MBIO, V10, DOI 10.1128/mBio.02545-18
Qin ZJ, 2021, ENVIRON MICROBIOL, V23, P4389, DOI 10.1111/1462-2920.15624
Rädecker N, 2015, TRENDS MICROBIOL, V23, P490, DOI 10.1016/j.tim.2015.03.008
Röthig T, 2017, SCI REP-UK, V7, DOI 10.1038/srep44714
Rosado PM, 2019, ISME J, V13, P921, DOI 10.1038/s41396-018-0323-6
Sauer K, 2022, NAT REV MICROBIOL, V20, P608, DOI 10.1038/s41579-022-00767-0
Shi Y, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0409-4
Simister RL, 2012, ENVIRON MICROBIOL, V14, P517, DOI 10.1111/j.1462-2920.2011.02664.x
Sogin EM, 2017, ENV MICROBIOL REP, V9, P310, DOI 10.1111/1758-2229.12541
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stegen JC, 2013, ISME J, V7, P2069, DOI 10.1038/ismej.2013.93
Strous M, 1999, APPL ENVIRON MICROB, V65, P3248
Sun YA, 2022, GEOCHEM GEOPHY GEOSY, V23, DOI 10.1029/2022GC010600
Tada Y, 2017, J OCEANOGR, V73, P145, DOI 10.1007/s10872-016-0391-z
TER BRAAK C. J. F., 2012, CANOCO REFERENCE MAN
van Oppen MJH, 2019, NAT REV MICROBIOL, V17, P557, DOI 10.1038/s41579-019-0223-4
Vezzulli L, 2012, ISME J, V6, P21, DOI 10.1038/ismej.2011.89
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wang JN, 2021, ENVIRON MICROBIOL, V23, P2578, DOI 10.1111/1462-2920.15480
Wang J, 2020, SCI TOTAL ENVIRON, V726, DOI 10.1016/j.scitotenv.2020.138682
Wang JP, 2015, CHEM GEOL, V402, P52, DOI 10.1016/j.chemgeo.2015.02.040
Wang XL, 2020, ENVIRON MICROBIOL, V22, P4438, DOI 10.1111/1462-2920.15152
Wang XL, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.03064-18
Webster NS, 2016, SCI REP-UK, V6, DOI 10.1038/srep19324
Webster NS, 2017, ISME J, V11, P2167, DOI 10.1038/ismej.2017.66
Webster NS, 2010, ENVIRON MICROBIOL, V12, P2070, DOI 10.1111/j.1462-2920.2009.02065.x
Weiler BA, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00378
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Xiao JG, 2022, PEERJ, V10, DOI 10.7717/peerj.13634
Yang SH, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01094
Yang Y, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156334
Yang YZ, 2019, ECOL INDIC, V101, P62, DOI 10.1016/j.ecolind.2018.12.047
Ye GQ, 2017, COAST MANAGE, V45, P219, DOI 10.1080/08920753.2017.1303740
Zhai X, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.957762
Zhang JD, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.658708
Zhang YY, 2015, ECOTOXICOLOGY, V24, P1467, DOI 10.1007/s10646-015-1454-4
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhao HX, 2023, MICROB ECOL, V85, P495, DOI 10.1007/s00248-022-01976-z
Zhou JZ, 2017, MICROBIOL MOL BIOL R, V81, DOI 10.1128/MMBR.00002-17
Zhou JZ, 2014, P NATL ACAD SCI USA, V111, pE836, DOI 10.1073/pnas.1324044111
Zhu JW, 2022, ECOL PROCESS, V11, DOI 10.1186/s13717-022-00373-1
NR 107
TC 0
Z9 0
PD SEP
PY 2024
VL 166
AR 112452
DI 10.1016/j.ecolind.2024.112452
EA AUG 2024
UT WOS:001291141600001
DA 2025-07-30
ER
PT J
AU De Menezes, TA
De Freitas, MAM
Lima, MS
Soares, AC
Leal, C
Busch, MD
Tschoeke, DA
Vidal, LD
Atella, GC
Kruger, RH
Setubal, J
Vasconcelos, AA
De Mahiques, MM
Siegle, E
Asp, NE
Cosenza, C
Hajdu, E
De Rezende, CE
Thompson, CC
Thompson, FL
AF De Menezes, Tatiane A.
De Freitas, Mayanne A. M.
Lima, Michele S.
Soares, Ana Carolina
Leal, Camille
Busch, Mileane De S.
Tschoeke, Diogo A.
Vidal, Luciana De O.
Atella, Georgia C.
Kruger, Ricardo H.
Setubal, Joao
Vasconcelos, Agnaldo A.
De Mahiques, Michel M.
Siegle, Eduardo
Asp, Nils Edvin
Cosenza, Carlos
Hajdu, Eduardo
De Rezende, Carlos E.
Thompson, Cristiane C.
Thompson, Fabiano L.
TI Fluxes of the Amazon River plume nutrients and microbes into marine
sponges
SO SCIENCE OF THE TOTAL ENVIRONMENT
DT Article
AB Sponges have co-evolved with microbes for over 400 myr. Previous studies have demonstrated that sponges can be classified according to the abundance of microbes in their tissues as Low Microbial Abundance (LMA) and High Microbial Abundance (HMA). While LMA sponges rely mainly on water column microbes, HMA appear to rely much more on symbiotic fermentative and autotrophic microbes maintained in their tissues. However, it is unclear if this pattern holds when comparing different species of tropical sponges under extreme nutrient conditions and sediment loads in the water column, such as the Great Amazon Reef System (GARS), which covers an area of similar to 56,000 km(2) off the Amazon River mouth. Sponges are the major GARS benthic components. However, these sponges' microbiome across the GARS is still unknown. Here, we investigated water quality, isotopic values (delta C-13 and delta N-15), metagenomic and lipidomic profiles of sponges obtained from different sectors throughout the GARS. >180 million shotgun metagenomic reads were annotated, covering 22 sponge species. Isotopic and lipidomic analyses suggested LMA sponges rely on the Amazon River Plume for nutrition. HMA sponges (N = 15) had higher Roseiflexus and Nitrospira abundance, whereas LMA sponges (N= 7) had higher Prochlorococcus and Pelagibacter abundance. Functional data revealed that the LMA sponge microbiomes had greater number of sequences related to phages and prophages as well as electron transport and photophosphorylation which may be related to photosynthetic processes associated with the Prochlorococcus and Synechococcus found in the LMA. The higher phages abundance in LMA sponges could be related to these holobionts' reduced defense towards phage infection. Meanwhile, HMA sponge microbiomes had higher Clustered Regularly Interspaced Short Palindromic Repeats-CRISPR abundance, which may be involved in defense against phage infection. This study sheds light on the nutrient fluxes and microbes from the Amazon River plume into the sponge holobionts.
C1 [De Menezes, Tatiane A.; De Freitas, Mayanne A. M.; Lima, Michele S.; Leal, Camille; Thompson, Cristiane C.; Thompson, Fabiano L.] Fed Univ Rio De Janeiro UFRJ, Biol Inst, Microbiol Lab, Rio De Janeiro, Brazil.
[Busch, Mileane De S.; Atella, Georgia C.] Fed Univ Rio De Janeiro UFRJ, Biochem Inst Leopoldo De Meis, Lab Lipids Biochem & Lipoprot, Rio De Janeiro, Brazil.
[Tschoeke, Diogo A.] Fed Univ Rio De Janeiro UFRJ, Biomed Engn Program COPPE, Rio De Janeiro, Brazil.
[Cosenza, Carlos; Thompson, Fabiano L.] Fed Univ Rio De Janeiro UFRJ, Ctr Technol CT2, SAGE COPPE, Rio De Janeiro, Brazil.
[Vidal, Luciana De O.; De Rezende, Carlos E.] Univ Estadual Norte Fluminense Darcy Ribeiro UENF, Biosci & Biotechnol Ctr, Environm Sci Lab, Campos Goytacazes, Rio De Janeiro, Brazil.
[Vidal, Luciana De O.] Univ Fed Estado Rio De Janeiro UNIRIO, Inst Biosci, Dept Ecol & Marine Resources, Rio De Janeiro, Brazil.
[Kruger, Ricardo H.] Univ Brasilia UNB, Lab Enzymol, Brasilia, DF, Brazil.
[Vasconcelos, Agnaldo A.] Greenpeace Brazil, Rio De Janeiro, Brazil.
[De Mahiques, Michel M.; Siegle, Eduardo] Univ Sao Paulo, Oceanog Inst IO, Sao Paulo, Brazil.
[Asp, Nils Edvin] Fed Univ Para, Inst Coastal Studies IECOS, Braganca Campus, Braganca, PA, Brazil.
[Hajdu, Eduardo] Fed Univ Rio De Janeiro UFRJ, Dept Invertebrates, Natl Museum, Rio De Janeiro, Brazil.
[Soares, Ana Carolina; Setubal, Joao] Univ Sao Paulo, Inst Chem, Dept Biochem, Bioinformat Lab, Sao Paulo, Brazil.
RP De Rezende, CE; Thompson, CC; Thompson, FL (corresponding author), Univ Fed Rio de Janeiro, Biol Inst, CCS, Ave Carlos Chagas Filho,Bloco A, BR-21941902 Rio de Janeiro, RJ, Brazil.
EM crezende@uenf.br; thompsoncristiane@gmail.com;
fabianothompson1@gmail.com
CR Alalwan Ali Abdallah, NUTRITION, V34, P1177, DOI [10.1016/j.tele.2017.05.008, DOI 10.1016/J.NUT.2017.12.007, 10.1016/j.etap.2009.03.010]
Barrangou R, 2007, SCIENCE, V315, P1709, DOI 10.1126/science.1138140
Bayer K, 2014, FEMS MICROBIOL ECOL, V90, P832, DOI 10.1111/1574-6941.12441
Bell JJ, 2008, ESTUAR COAST SHELF S, V79, P341, DOI 10.1016/j.ecss.2008.05.002
Berdugo Miguel, 2018, DISORD, V367, P787, DOI [10.1126/science.aay5958, DOI 10.1016/J]
BLIGH EG, 1959, CAN J BIOCHEM PHYS, V37, P911
Chen Xu, 2021, International Journal of Environmental Research and Public Health, V18, P4816, DOI [10.3390/ijerph18094816, DOI 10.3390/GENES9110556, 10.3390/nano11081954, DOI 10.3390/APP12062840]
Christie W., 1989, GAS CHROMATOGRAPHY L
Cordeiro MC, 2019, SCI TOTAL ENVIRON, V654, P1209, DOI 10.1016/j.scitotenv.2018.11.112
DAmato ME, 1997, ELECTROPHORESIS, V18, P1666, DOI 10.1002/elps.1150180933
de Goeij JM, 2013, SCIENCE, V342, P108, DOI 10.1126/science.1241981
Dinsdale Elizabeth A., 2013, Frontiers in Genetics, V4, P41, DOI 10.3389/fgene.2013.00041
Dobrindt U, 2004, NAT REV MICROBIOL, V2, P414, DOI 10.1038/nrmicro884
Easson CG, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00532
Erdogan Berrin, 2015, J APPL MICROBIOL, V4, P260, DOI [10.1111/j.1754-9434.2011.01339.x, DOI 10.1111/JAM.12124, 10.1111/gcb.15299]
Erwin PM, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv115
Fan L, 2012, P NATL ACAD SCI USA, V109, pE1878, DOI 10.1073/pnas.1203287109
Fine Saul, 2020, GEOLOGY ECOLOGY LAND, V19, P346, DOI [10.1080/09585190701799937, DOI 10.1080/24749508.2020.1726562, 10.1080/10256016.2016.1186670]
Fiore CL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00364
Freeman CJ, 2020, ISME J, V14, P1571, DOI 10.1038/s41396-020-0625-3
Freeman Christopher J., 2020, ISME J, V14, P1571, DOI [10.1038/s41396-020-0625-3, DOI 10.1038/S41396-020-0625-3]
Fu Haichao, EUR J PHARMACOL, V360, P157, DOI [10.1016/j.scitotenv.2018.11.112, DOI 10.1016/J.EJPHAR.2012.11.005, 10.1016/J.CEJ.2018.11.207]
Gantt SE, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0739-x
Gantt Shelby E., 2019, Nature Methods, V7, DOI [10.1186/s40168-019-0739-x, DOI 10.1038/NMETH.2019]
Giles EC, 2013, FEMS MICROBIOL ECOL, V83, P232, DOI 10.1111/j.1574-6941.2012.01467.x
Giles Emily C., 2012, FEMS MICROBIOL ECOL, V83, P232, DOI [10.1111/j.1574-6941.2012.01467.x, DOI 10.1111/J.1574-6941.2012.01467.X]
Gloeckner V., 2013, THESIS U WUERZBURG W
Gloeckner V, 2014, BIOL BULL-US, V227, P78, DOI 10.1086/BBLv227n1p78
Gregoracci GB, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031408
Harvey P. C., ECOLOGY, V79, P4105, DOI [10.1128/IAI.01390-10, DOI 10.1890/10-1245.1, 10.1128/AEM.00780-10]
Hentschel U, 2006, FEMS MICROBIOL ECOL, V55, P167, DOI 10.1111/j.1574-6941.2005.00046.x
Hentschel U, 2003, MAR MOL BIOTECHNOL, P59
Hochmuth T, 2010, CHEMBIOCHEM, V11, P2572, DOI 10.1002/cbic.201000510
Hoffmann F, 2005, GEOMICROBIOL J, V22, P1, DOI 10.1080/01490450590922505
HORWITZ J, 1987, METHOD ENZYMOL, V141, P169
Ignatiev Noel., 1997, IRISH BECAME WHITE, DOI 10.1086/429606
Inomura K, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9020192
Jahn MT, 2019, CELL HOST MICROBE, V26, P542, DOI 10.1016/j.chom.2019.08.019
Kennedy J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091092
Leal CV, 2022, SCI TOTAL ENVIRON, V835, DOI 10.1016/j.scitotenv.2022.155145
Lechevalier H., 1988, Microbial Lipids, V1, P869
Li M., 2016, BMC genomics, V17, P195, DOI DOI 10.1186/S12864-016-2552-2
Lovley DR, 2004, ADV MICROB PHYSIOL, V49, P219, DOI 10.1016/S0065-2911(04)49005-5
Ludeman DA, 2017, J EXP BIOL, V220, P995, DOI 10.1242/jeb.146076
Maldonado M, 2012, ADV MAR BIOL, V62, P113, DOI 10.1016/B978-0-12-394283-8.00003-5
Marques JSJ, 2017, FRONT EARTH SC-SWITZ, V5, DOI 10.3389/feart.2017.00011
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI [10.1186/1471-2105-9-386, DOI 10.1186/1471-2105-9-386]
Middleton W.E. Knowles., 1953, Meteorological Instruments, DOI 10.1002/ecy.2075
Moitinho-Silva L, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00752
Moitinho-Silva Lucas, 2017, Frontiers in Marine Science, V8, DOI [10.3389/fmicb.2017.00752, DOI 10.3389/FMARS.2017.00028]
Moran Jeffrey, 2010, Zambesi: David Livingstone and Expeditionary Science in Africa, V229, P782, DOI [10.1126/science.4023713, DOI 10.5040/9780755625031, https://doi.org/10.5040/9780755625031]
Moura Rodrigo L., SCI ADV, V2, DOI [10.1126/sciadv.1501252, DOI 10.1126/SCIADV.1501252]
O'Connor-Sánchez A, 2014, BIOL RES, V47, DOI 10.1186/0717-6287-47-67
OLeary W.M., 1988, MICROBIAL LIPIDS, V1, P117
Papacharissi Z., 2014, Affective Publics: Sentiment, Technology, and Politics, DOI [DOI 10.1093/ACPROF:OSO/9780199999736.001.0001, 10.1093/jxb/erm242, 10.1093/acprof:oso/9780199969104.003.0002]
Pascelli C, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00919-5
Pascelli C, 2018, PEERJ, V6, DOI 10.7717/peerj.5625
Pascelli Cecilia, 2018, PEERJ, V6, pe5625, DOI [10.7717/peerj.5625, DOI 10.7717/PEERJ.5625]
Pinto OHB, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.867234
Pita L, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0428-1
Plexousakis Stefanos Stylianos, 2019, Frontiers in Public Health, V7, DOI [10.3389/fcvm.2019.00006, DOI 10.7187/GJAT072023-10, 10.3389/fpubh.2019.00075]
Poppell E, 2014, MAR ECOL-EVOL PERSP, V35, P414, DOI 10.1111/maec.12098
Prakash O, 2010, INT J SYST EVOL MICR, V60, P546, DOI 10.1099/ijs.0.010843-0
Prakash Om, INT J SYST EVOL MICR, V60, P546, DOI [10.1099/ijs.0.010843-0, DOI 10.1099/IJS.0.010843-0]
Pruitt KD, 2007, NUCLEIC ACIDS RES, V35, pD61, DOI 10.1093/nar/gkl842
Ribes M, 2012, ENVIRON MICROBIOL, V14, P1224, DOI 10.1111/j.1462-2920.2012.02701.x
Rix L, 2016, SCI REP-UK, V6, DOI 10.1038/srep18715
Schmieder R, 2011, BIOINFORMATICS, V27, P863, DOI 10.1093/bioinformatics/btr026
Schneemann I, 2010, APPL ENVIRON MICROB, V76, P3702, DOI 10.1128/AEM.00780-10
Spruston Nelson, 1953, NATURE, V9, P206, DOI [10.1038/nrn2286, DOI 10.1038/171142A0]
Taylor MW, 2007, MICROBIOL MOL BIOL R, V71, P295, DOI 10.1128/MMBR.00040-06
Taylor Michael W., MICROBIOL MOL BIOL R, V71, P295, DOI [10.1128/MMBR.00040-06, DOI 10.1128/MMBR.00040-06]
Thomas T, 2010, ISME J, V4, P1557, DOI 10.1038/ismej.2010.74
Thomas Torsten, 2010, ISME J, V4, P1557, DOI [10.1038/ismej.2010.74, DOI 10.1038/ISMEJ.2010.74]
VACELET J, 1977, J EXP MAR BIOL ECOL, V30, P301, DOI 10.1016/0022-0981(77)90038-7
Vacelet Jean, J EXP MAR BIOL ECOL, V30, P301, DOI [DOI 10.1016/0022-0981(77)90038-7, 10.1016/0022-5193(64)90039-6]
Van Soest RWM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035105
VOGEL WC, 1962, J LAB CLIN MED, V59, P335
Walter JM, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0161168
Wang Likun, 2009, Violence against Women in Politics, V26, P136, DOI [10.1093/bioinformatics/btp612, DOI 10.1093/OSO/9780190088460.001.0001]
Weisz JB, 2008, OECOLOGIA, V155, P367, DOI 10.1007/s00442-007-0910-0
Weisz JB, 2007, MAR BIOL, V152, P475, DOI 10.1007/s00227-007-0708-y
Weisz Jeremy B., 2007, OECOLOGIA, V155, P367, DOI [10.1007/s00442-007-0910-0, DOI 10.1007/S00442-007-0910-0]
Wiedenbeck J, 2011, FEMS MICROBIOL REV, V35, P957, DOI 10.1111/j.1574-6976.2011.00292.x
WILKINSON CR, 1983, SCIENCE, V219, P410, DOI 10.1126/science.219.4583.410
Yau S, 2011, P NATL ACAD SCI USA, V108, P6163, DOI 10.1073/pnas.1018221108
Zhang F, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz155
Zhang HT, 2006, ANTON LEEUW INT J G, V90, P159, DOI 10.1007/s10482-006-9070-1
Zhang Haitao, 2006, ANTON LEEUW INT J G, V90, P159, DOI [10.1007/s10482-006-9070-1, DOI 10.1007/S10482-006-9070-1]
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 91
TC 8
Z9 10
PD NOV 15
PY 2022
VL 847
AR 157474
DI 10.1016/j.scitotenv.2022.157474
EA AUG 2022
UT WOS:000884273800005
DA 2025-07-30
ER
PT J
AU Georges, AA
El-Swais, H
Craig, SE
Li, WKW
Walsh, DA
AF Georges, Anna A.
El-Swais, Heba
Craig, Susanne E.
Li, William K. W.
Walsh, David A.
TI Metaproteomic analysis of a winter to spring succession in coastal
northwest Atlantic Ocean microbial plankton
SO ISME JOURNAL
DT Article
AB In this study, we used comparative metaproteomics to investigate the metabolic activity of microbial plankton inhabiting a seasonally hypoxic basin in the Northwest Atlantic Ocean (Bedford Basin). From winter to spring, we observed a seasonal increase in high-affinity membrane transport proteins involved in scavenging of organic substrates; Rhodobacterales transporters were strongly associated with the spring phytoplankton bloom, whereas SAR11 transporters were abundant in the underlying waters. A diverse array of transporters for organic compounds were similar to the SAR324 clade, revealing an active heterotrophic lifestyle in coastal waters. Proteins involved in methanol oxidation (from the OM43 clade) and carbon monoxide (from a wide variety of bacteria) were identified throughout Bedford Basin. Metabolic niche partitioning between the SUP05 and ARCTIC96BD-19 clades, which together comprise the Gamma-proteobacterial sulfur oxidizers group was apparent. ARCTIC96BD-19 proteins involved in the transport of organic compounds indicated that in productive coastal waters this lineage tends toward a heterotrophic metabolism. In contrast, the identification of sulfur oxidation proteins from SUP05 indicated the use of reduced sulfur as an energy source in hypoxic bottom water. We identified an abundance of Marine Group I Thaumarchaeota proteins in the hypoxic deep layer, including proteins for nitrification and carbon fixation. No transporters for organic compounds were detected among the thaumarchaeal proteins, suggesting a reliance on autotrophic carbon assimilation. In summary, our analyses revealed the spatiotemporal structure of numerous metabolic activities in the coastal ocean that are central to carbon, nitrogen and sulfur cycling in the sea.
C1 [Georges, Anna A.; El-Swais, Heba; Walsh, David A.] Concordia Univ, Dept Biol, Montreal, PQ H4B 1R6, Canada.
[Craig, Susanne E.; Li, William K. W.] Bedford Inst Oceanog, Dept Fisheries & Oceans, Dartmouth, NS, Canada.
RP Walsh, DA (corresponding author), Concordia Univ, Dept Biol, 7141 Sherbrooke St West, Montreal, PQ H4B 1R6, Canada.
EM david.walsh@concordia.ca
CR Anantharaman K, 2013, P NATL ACAD SCI USA, V110, P330, DOI 10.1073/pnas.1215340110
Baker BJ, 2012, ISME J, V6, P2269, DOI 10.1038/ismej.2012.64
Baker GC, 2003, J MICROBIOL METH, V55, P541, DOI 10.1016/j.mimet.2003.08.009
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Berg IA, 2010, NAT REV MICROBIOL, V8, P447, DOI 10.1038/nrmicro2365
Cunliffe M, 2011, ISME J, V5, P685, DOI 10.1038/ismej.2010.170
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeLorenzo S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046695
Dixon JL, 2011, ISME J, V5, P704, DOI 10.1038/ismej.2010.169
ENG JK, 1994, J AM SOC MASS SPECTR, V5, P976, DOI 10.1016/1044-0305(94)80016-2
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Glaubitz S, 2013, APPL ENVIRON MICROB, V79, P2767, DOI 10.1128/AEM.03777-12
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hedges JI, 1997, ORG GEOCHEM, V27, P195, DOI 10.1016/S0146-6380(97)00066-1
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
Huson DH, 2011, GENOME RES, V21, P1552, DOI 10.1101/gr.120618.111
Kall L, 2007, NAT METHODS, V4, P923, DOI 10.1038/NMETH1113
King GM, 2007, NAT REV MICROBIOL, V5, P107, DOI 10.1038/nrmicro1595
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Kuwahara H, 2007, CURR BIOL, V17, P881, DOI 10.1016/j.cub.2007.04.039
Lam P, 2007, P NATL ACAD SCI USA, V104, P7104, DOI 10.1073/pnas.0611081104
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
Li WKW, 2008, LIMNOL OCEANOGR, V53, P1734, DOI 10.4319/lo.2008.53.5.1734
Li WKW, 2006, P ROY SOC B-BIOL SCI, V273, P1953, DOI 10.1098/rspb.2006.3529
Li WKW, 2001, CYTOMETRY, V44, P236, DOI 10.1002/1097-0320(20010701)44:3<236::AID-CYTO1116>3.0.CO;2-5
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
MILNE PJ, 1995, MAR CHEM, V48, P237, DOI 10.1016/0304-4203(94)00059-M
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Mussmann M, 2011, P NATL ACAD SCI USA, V108, P16771, DOI 10.1073/pnas.1106427108
Newton ILG, 2007, SCIENCE, V315, P998, DOI 10.1126/science.1138438
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Pomeroy LR, 2007, OCEANOGRAPHY, V20, P28, DOI 10.5670/oceanog.2007.45
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Punshon S, 2004, MAR CHEM, V91, P37, DOI 10.1016/j.marchem.2004.04.003
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Shevchenko A, 2006, NAT PROTOC, V1, P2856, DOI 10.1038/nprot.2006.468
SIEBURTH J M, 1988, Biological Oceanography, V6, P383
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stahl DA, 2012, ANNU REV MICROBIOL, V66, P83, DOI 10.1146/annurev-micro-092611-150128
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Sunamura M, 2004, APPL ENVIRON MICROB, V70, P1190, DOI 10.1128/AEM.70.2.1190-1198.2004
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thompson MR, 2008, ANAL CHEM, V80, P9517, DOI 10.1021/ac801707s
Tolli JD, 2005, LIMNOL OCEANOGR, V50, P1205, DOI 10.4319/lo.2005.50.4.1205
VALENTINE RL, 1993, ENVIRON SCI TECHNOL, V27, P409, DOI 10.1021/es00039a023
VerBerkmoes NC, 2009, NAT REV MICROBIOL, V7, P196, DOI 10.1038/nrmicro2080
Vogel C, 2012, NAT REV GENET, V13, P227, DOI 10.1038/nrg3185
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Yergeau E, 2012, APPL ENVIRON MICROB, V78, P7626, DOI 10.1128/AEM.02036-12
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zaikova E, 2010, ENVIRON MICROBIOL, V12, P172, DOI 10.1111/j.1462-2920.2009.02058.x
NR 66
TC 66
Z9 76
PD JUN
PY 2014
VL 8
IS 6
BP 1301
EP 1313
DI 10.1038/ismej.2013.234
UT WOS:000336836200013
DA 2025-07-30
ER
PT J
AU Liu, ST
Parsons, R
Opalk, K
Baetge, N
Giovannoni, S
Bolaños, LM
Kujawinski, EB
Longnecker, K
Lu, YH
Halewood, E
Carlson, CA
AF Liu, Shuting
Parsons, Rachel
Opalk, Keri
Baetge, Nicholas
Giovannoni, Stephen
Bolanos, Luis M.
Kujawinski, Elizabeth B.
Longnecker, Krista
Lu, YueHan
Halewood, Elisa
Carlson, Craig A.
TI Different carboxyl-rich alicyclic molecules proxy compounds select
distinct bacterioplankton for oxidation of dissolved organic matter in
the mesopelagic Sargasso Sea
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Marine dissolved organic matter (DOM) varies in its recalcitrance to rapid microbial degradation. DOM of varying recalcitrance can be exported from the ocean surface to depth by subduction or convective mixing and oxidized over months to decades in deeper seawater. Carboxyl-rich alicyclic molecules (CRAM) are characterized as a major component of recalcitrant DOM throughout the oceanic water column. The oxidation of CRAM-like compounds may depend on specific bacterioplankton lineages with oxidative enzymes capable of catabolizing complex molecular structures like long-chain aliphatics, cyclic alkanes, and carboxylic acids. To investigate the interaction between bacteria and CRAM-like compounds, we conducted microbial remineralization experiments using several compounds rich in carboxyl groups and/or alicyclic rings, including deoxycholate, humic acid, lignin, and benzoic acid, as proxies for CRAM. Mesopelagic seawater (200 m) from the northwest Sargasso Sea was used as media and inoculum and incubated over 28 d. All amendments demonstrated significant DOC removal (2-11 mu mol C L-1) compared to controls. Bacterioplankton abundance increased significantly in the deoxycholate and benzoic acid treatments relative to controls, with fast-growing Spongiibacteracea, Euryarcheaota, and slow-growing SAR11 enriched in the deoxycholate treatment and fast-growing Alteromonas, Euryarcheaota, and Thaumarcheaota enriched in the benzoic acid treatment. In contrast, bacterioplankton grew slower in the lignin and humic acid treatments, with oligotrophic SAR202 becoming significantly enriched in the lignin treatment. Our results indicate that the character of the CRAM proxy compounds resulted in distinct bacterioplankton removal rates of DOM and affected specific lineages of bacterioplankton capable of responding.
C1 [Liu, Shuting; Opalk, Keri; Baetge, Nicholas; Halewood, Elisa; Carlson, Craig A.] Univ Calif Santa Barbara, Marine Sci Inst, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Parsons, Rachel] Bermuda Inst Ocean Sci, St Georges, Bermuda.
[Giovannoni, Stephen; Bolanos, Luis M.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Kujawinski, Elizabeth B.; Longnecker, Krista; Lu, YueHan] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Lu, YueHan] Univ Alabama, Dept Geol Sci, Tuscaloosa, AL USA.
RP Liu, ST (corresponding author), Univ Calif Santa Barbara, Marine Sci Inst, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
EM shutingliu@ucsb.edu
CR Abraham WR, 2013, INT J SYST EVOL MICR, V63, P2207, DOI 10.1099/ijs.0.047894-0
Alon S, 2011, GENOME RES, V21, P1506, DOI 10.1101/gr.121715.111
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
BALDWIN WW, 1988, APPL ENVIRON MICROB, V54, P105, DOI 10.1128/AEM.54.1.105-109.1988
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
Benner R, 2015, ANNU REV MAR SCI, V7, P185, DOI 10.1146/annurev-marine-010213-135126
Berg C, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00055
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, DEEP-SEA RES PT II, V43, P491, DOI 10.1016/0967-0645(95)00101-8
CARLSON CA, 1994, NATURE, V371, P405, DOI 10.1038/371405a0
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
COWIE GL, 1994, NATURE, V369, P304, DOI 10.1038/369304a0
Dauwe B, 1999, LIMNOL OCEANOGR, V44, P1809, DOI 10.4319/lo.1999.44.7.1809
Davis J, 2009, ORG GEOCHEM, V40, P343, DOI 10.1016/j.orggeochem.2008.12.003
Delmont TO, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01090
DeLong E, 2006, PLOS BIOL, V4, P2412, DOI 10.1371/journal.pbio.0040437
DeLong EF, 1999, APPL ENVIRON MICROB, V65, P5554
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deng WC, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33497-6
Dinasquet J, 2013, ENVIRON MICROBIOL, V15, P2616, DOI 10.1111/1462-2920.12178
Dittmar T, 2008, LIMNOL OCEANOGR-METH, V6, P230, DOI 10.4319/lom.2008.6.230
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Flerus R, 2012, BIOGEOSCIENCES, V9, P1935, DOI 10.5194/bg-9-1935-2012
Fletcher M., 1996, BACTERIAL ADHESION M
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goldberg SJ, 2017, ENVIRON MICROBIOL, V19, P3450, DOI 10.1111/1462-2920.13825
Goldberg SJ, 2009, DEEP-SEA RES PT I, V56, P672, DOI 10.1016/j.dsr.2008.12.013
Gonzalez JM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0029973
Gundersen K, 2002, LIMNOL OCEANOGR, V47, P1525, DOI 10.4319/lo.2002.47.5.1525
Hamdan LJ, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-27350-z
Hansell DA, 2001, DEEP-SEA RES PT II, V48, P1649, DOI 10.1016/S0967-0645(00)00153-3
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Hansell DA, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004069
Hedges JI, 1997, ORG GEOCHEM, V27, P195, DOI 10.1016/S0146-6380(97)00066-1
HENRICHS SM, 1991, GEOPH MONOG SERIES, V63, P139
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Hertkorn N, 2006, GEOCHIM COSMOCHIM AC, V70, P2990, DOI 10.1016/j.gca.2006.03.021
Hoffmann K, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00266
Holert J, 2018, MBIO, V9, DOI 10.1128/mBio.02345-17
Hu P, 2017, P NATL ACAD SCI USA, V114, P7432, DOI 10.1073/pnas.1703424114
Hwang CY, 2009, INT J SYST EVOL MICR, V59, P2176, DOI 10.1099/ijs.0.005819-0
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Jean WD, 2016, INT J SYST EVOL MICR, V66, P4094, DOI 10.1099/ijsem.0.001316
Johnson WM, 2017, LIMNOL OCEANOGR-METH, V15, P417, DOI 10.1002/lom3.10181
Kaiser K, 2009, MAR CHEM, V113, P63, DOI 10.1016/j.marchem.2008.12.004
Kalscheuer R, 2007, J BACTERIOL, V189, P918, DOI 10.1128/JB.01292-06
Kamalanathan M, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00798
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kawasaki N, 2006, LIMNOL OCEANOGR, V51, P2170, DOI 10.4319/lo.2006.51.5.2170
Keil RG, 1999, AQUAT MICROB ECOL, V18, P293, DOI 10.3354/ame018293
Kellerman AM, 2018, ENVIRON SCI TECHNOL, V52, P2538, DOI 10.1021/acs.est.7b05513
Kim SH, 2012, MOLECULES, V17, P12357, DOI 10.3390/molecules171012357
Klappenbach JA, 2000, APPL ENVIRON MICROB, V66, P1328, DOI 10.1128/AEM.66.4.1328-1333.2000
Koch BP, 2016, RAPID COMMUN MASS SP, V30, P250, DOI 10.1002/rcm.7433
Koch BP, 2014, BIOGEOSCIENCES, V11, P4173, DOI 10.5194/bg-11-4173-2014
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kramer GD, 2004, AQUAT MICROB ECOL, V36, P239, DOI 10.3354/ame036239
Kuznetsova M, 2002, AQUAT SCI, V64, P252, DOI 10.1007/s00027-002-8070-0
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lazar CS, 2017, ISME J, V11, P1118, DOI 10.1038/ismej.2016.189
Lechtenfeld OJ, 2014, GEOCHIM COSMOCHIM AC, V126, P321, DOI 10.1016/j.gca.2013.11.009
LEE C, 1982, J MAR RES, V40, P227
Lee K, 2007, INT J SYST EVOL MICR, V57, P2595, DOI 10.1099/ijs.0.65274-0
LEE SH, 1991, MAR ECOL PROG SER, V79, P195, DOI 10.3354/meps079195
Lekunberri I, 2013, FEMS MICROBIOL ECOL, V85, P537, DOI 10.1111/1574-6941.12142
Lengger SK, 2017, GEOBIOLOGY, V15, P184, DOI 10.1111/gbi.12206
Li H, 2009, ARCH PHARM RES, V32, P857, DOI 10.1007/s12272-009-1607-1
LINDROTH P, 1979, ANAL CHEM, V51, P1667, DOI 10.1021/ac50047a019
Liu JQ, 2017, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.02131
Liu ZF, 2013, MAR CHEM, V157, P67, DOI 10.1016/j.marchem.2013.08.003
Lonborg C, 2009, ESTUAR COAST SHELF S, V82, P682, DOI 10.1016/j.ecss.2009.02.026
Longnecker K, 2015, GEOCHIM COSMOCHIM AC, V171, P39, DOI 10.1016/j.gca.2015.08.014
Lu KJ, 2018, ENVIRON SCI TECHNOL, V52, P7182, DOI 10.1021/acs.est.8b00999
Lu XX, 2015, ENV MICROBIOL REP, V7, P831, DOI 10.1111/1758-2229.12311
Mann PJ, 2014, GLOBAL CHANGE BIOL, V20, P1089, DOI 10.1111/gcb.12416
Martínez-Pérez AM, 2017, LIMNOL OCEANOGR, V62, P2699, DOI 10.1002/lno.10600
Math RK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035784
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Medeiros PM, 2015, GEOPHYS RES LETT, V42, P863, DOI 10.1002/2014GL062663
Mehrshad M, 2018, ISME J, V12, P655, DOI 10.1038/s41396-017-0009-5
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Müller O, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00263
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Oksanen J., 2007, Community Ecology Package, V10, P719
Orsi WD, 2016, ISME J, V10, P2158, DOI 10.1038/ismej.2016.20
Osterholz H, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8422
Parsons RJ, 2015, ENVIRON MICROBIOL, V17, P3481, DOI 10.1111/1462-2920.12445
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Patriarca C, 2018, ENVIRON SCI TECHNOL, V52, P2091, DOI 10.1021/acs.est.7b04508
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Pérez MT, 2003, LIMNOL OCEANOGR, V48, P755, DOI 10.4319/lo.2003.48.2.0755
Perminova IV, 2003, ENVIRON SCI TECHNOL, V37, P2477, DOI 10.1021/es0258069
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ravenschlag K, 2001, APPL ENVIRON MICROB, V67, P387, DOI 10.1128/AEM.67.1.387-395.2001
Redmond MC, 2012, P NATL ACAD SCI USA, V109, P20292, DOI 10.1073/pnas.1108756108
Repeta DJ, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P21, DOI 10.1016/B978-0-12-405940-5.00002-9
Ridlon JM, 2012, J LIPID RES, V53, P66, DOI 10.1194/jlr.M020313
Romera-Castillo C, 2011, APPL ENVIRON MICROB, V77, P7490, DOI 10.1128/AEM.00200-11
Saw JHW, 2020, MBIO, V11, DOI 10.1128/mBio.02975-19
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schmidt F, 2017, GEOCHIM COSMOCHIM AC, V207, P57, DOI 10.1016/j.gca.2017.03.005
Schneiker S, 2006, NAT BIOTECHNOL, V24, P997, DOI 10.1038/nbt1232
Sherwood BP, 2015, MAR CHEM, V177, P357, DOI 10.1016/j.marchem.2015.06.027
SIERACKI ME, 1989, CYTOMETRY, V10, P551, DOI 10.1002/cyto.990100510
Sleighter RL, 2008, MAR CHEM, V110, P140, DOI 10.1016/j.marchem.2008.04.008
Soule MCK, 2015, MAR CHEM, V177, P374, DOI 10.1016/j.marchem.2015.06.029
Sperling M, 2012, AQUAT MICROB ECOL, V67, P25, DOI 10.3354/ame01580
Spring S, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00281
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-117
Sprouffske K, 2018, PLOS GENET, V14, DOI 10.1371/journal.pgen.1007324
Stewart FJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0037118
Stoica E, 2007, J PLANKTON RES, V29, P699, DOI 10.1093/plankt/fbm051
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Teira E, 2006, LIMNOL OCEANOGR, V51, P60, DOI 10.4319/lo.2006.51.1.0060
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Terrisse F, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01549
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Tolbert A, 2014, BIOFUEL BIOPROD BIOR, V8, P836, DOI 10.1002/bbb.1500
Tourna M, 2011, P NATL ACAD SCI USA, V108, P8420, DOI 10.1073/pnas.1013488108
Treusch AH, 2005, ENVIRON MICROBIOL, V7, P1985, DOI 10.1111/j.1462-2920.2005.00906.x
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vorobev A, 2018, ENVIRON MICROBIOL, V20, P3012, DOI 10.1111/1462-2920.14344
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Wang K, 2018, SCI TOTAL ENVIRON, V633, P1510, DOI 10.1016/j.scitotenv.2018.03.295
Wear EK, 2015, LIMNOL OCEANOGR, V60, P657, DOI 10.1002/lno.10042
Webster NS, 2016, MBIO, V7, DOI 10.1128/mBio.00135-16
WEISS MS, 1991, SCIENCE, V254, P1627, DOI 10.1126/science.1721242
WHELAN JK, 1977, GEOCHIM COSMOCHIM AC, V41, P803, DOI 10.1016/0016-7037(77)90050-3
Wilhelm RC, 2019, ISME J, V13, P413, DOI 10.1038/s41396-018-0279-6
Xie W, 2018, ENVIRON MICROBIOL, V20, P734, DOI 10.1111/1462-2920.14004
Xue JH, 2011, ORG GEOCHEM, V42, P356, DOI 10.1016/j.orggeochem.2011.01.012
Yakimov MM, 1998, INT J SYST BACTERIOL, V48, P339, DOI 10.1099/00207713-48-2-339
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zark M, 2017, MAR CHEM, V191, P9, DOI 10.1016/j.marchem.2017.02.005
Zhang CLL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01108
Zhang Y, 2009, AQUAT MICROB ECOL, V56, P65, DOI 10.3354/ame01324
NR 153
TC 41
Z9 46
PD JUL
PY 2020
VL 65
IS 7
BP 1532
EP 1553
DI 10.1002/lno.11405
EA JAN 2020
UT WOS:000508963300001
DA 2025-07-30
ER
PT J
AU Connelly, TL
Baer, SE
Cooper, JT
Bronk, DA
Wawrik, B
AF Connelly, Tara L.
Baer, Steven E.
Cooper, Joshua T.
Bronk, Deborah A.
Wawrik, Boris
TI Urea Uptake and Carbon Fixation by Marine Pelagic Bacteria and Archaea
during the Arctic Summer and Winter Seasons
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB How Arctic climate change might translate into alterations of biogeochemical cycles of carbon (C) and nitrogen (N) with respect to inorganic and organic N utilization is not well understood. This study combined N-15 uptake rate measurements for ammonium, nitrate, and urea with N-15-and C-13-based DNA stable-isotope probing (SIP). The objective was to identify active bacterial and archeal plankton and their role in N and C uptake during the Arctic summer and winter seasons. We hypothesized that bacteria and archaea would successfully compete for nitrate and urea during the Arctic winter but not during the summer, when phytoplankton dominate the uptake of these nitrogen sources. Samples were collected at a coastal station near Barrow, AK, during August and January. During both seasons, ammonium uptake rates were greater than those for nitrate or urea, and nitrate uptake rates remained lower than those for ammonium or urea. SIP experiments indicated a strong seasonal shift of bacterial and archaeal N utilization from ammonium during the summer to urea during the winter but did not support a similar seasonal pattern of nitrate utilization. Analysis of 16S rRNA gene sequences obtained from each SIP fraction implicated marine group I Crenarchaeota (MGIC) as well as Betaproteobacteria, Firmicutes, SAR11, and SAR324 in N uptake from urea during the winter. Similarly, C-13 SIP data suggested dark carbon fixation for MGIC, as well as for several proteobacterial lineages and the Firmicutes. These data are consistent with urea-fueled nitrification by polar archaea and bacteria, which may be advantageous under dark conditions.
C1 [Connelly, Tara L.] Univ Texas Austin, Inst Marine Sci, Port Aransas, TX USA.
[Cooper, Joshua T.; Wawrik, Boris] Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA.
[Baer, Steven E.; Bronk, Deborah A.] Virginia Inst Marine Sci, Coll William & Mary, Gloucester Point, VA 23062 USA.
RP Wawrik, B (corresponding author), Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA.
EM bwawrik@ou.edu
CR Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
Aluwihare LI, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P95, DOI 10.1016/B978-0-12-372522-6.00003-7
ANTIA NJ, 1991, PHYCOLOGIA, V30, P1, DOI 10.2216/i0031-8884-30-1-1.1
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bano N, 2004, APPL ENVIRON MICROB, V70, P781, DOI 10.1128/AEM.70.2.781-789.2004
Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
BRZEZINSKI MA, 1987, MAR CHEM, V20, P277, DOI 10.1016/0304-4203(87)90078-8
Buckley DH, 2007, APPL ENVIRON MICROB, V73, P3196, DOI 10.1128/AEM.02610-06
Buckley DH, 2007, APPL ENVIRON MICROB, V73, P3189, DOI 10.1128/AEM.02609-06
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Caporaso JG, 2010, BIOINFORMATICS, V26, P266, DOI 10.1093/bioinformatics/btp636
Christman GD, 2011, APPL ENVIRON MICROB, V77, P2026, DOI 10.1128/AEM.01907-10
Conover RJ, 1999, MAR ECOL PROG SER, V179, P55, DOI 10.3354/meps179055
Conover RJ, 1999, MAR ECOL PROG SER, V179, P41, DOI 10.3354/meps179041
Nguyen D, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007343
DeLorenzo S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046695
Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
Duarte CM, 2012, NAT CLIM CHANGE, V2, P60, DOI 10.1038/nclimate1386
DUDEK N, 1986, MAR CHEM, V18, P59, DOI 10.1016/0304-4203(86)90076-9
DUGDALE RC, 1967, LIMNOL OCEANOGR, V12, P196, DOI 10.4319/lo.1967.12.2.0196
Fouilland E, 2007, J PLANKTON RES, V29, P369, DOI 10.1093/plankt/fbm022
Garneau MÉ, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004281
Glibert PM, 2001, ESTUARIES, V24, P875, DOI 10.2307/1353178
GLIBERT PM, 1982, LIMNOL OCEANOGR, V27, P639
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
HAMA T, 1983, MAR BIOL, V73, P31, DOI 10.1007/BF00396282
HARRISON WG, 1985, DEEP-SEA RES, V32, P23, DOI 10.1016/0198-0149(85)90015-9
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Holland MM, 2003, CLIM DYNAM, V21, P221, DOI 10.1007/s00382-003-0332-6
Hügler M, 2011, ANNU REV MAR SCI, V3, P261, DOI 10.1146/annurev-marine-120709-142712
Ingalls AE, 2006, P NATL ACAD SCI USA, V103, P6442, DOI 10.1073/pnas.0510157103
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kirchman DL, 1998, DEEP-SEA RES PT I, V45, P347, DOI 10.1016/S0967-0637(97)00075-7
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Koper TE, 2004, APPL ENVIRON MICROB, V70, P2342, DOI 10.1128/AEM.70.4.2342-2348.2004
Koroleff F, 1983, METHODS SEAWATER ANA, V2, P125
L'Helguen S, 2005, J PLANKTON RES, V27, P263, DOI 10.1093/plankt/fbh174
Letscher RT, 2013, MAR CHEM, V148, P1, DOI 10.1016/j.marchem.2012.10.002
LI WKW, 1982, MAR ECOL PROG SER, V8, P167, DOI 10.3354/meps008167
MCCARTHY JJ, 1972, LIMNOL OCEANOGR, V17, P738, DOI 10.4319/lo.1972.17.5.0738
Middelburg JJ, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049725
Nikrad MP, 2012, APPL ENVIRON MICROB, V78, P2402, DOI 10.1128/AEM.07130-11
Park SJ, 2012, J BACTERIOL, V194, P6948, DOI 10.1128/JB.01869-12
Parmentier FJW, 2013, NAT CLIM CHANGE, V3, P195, DOI [10.1038/NCLIMATE1784, 10.1038/nclimate1784]
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
PEDERSEN H, 1993, FEMS MICROBIOL ECOL, V12, P51, DOI 10.1111/j.1574-6941.1993.tb00016.x
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Perrette M, 2011, BIOGEOSCIENCES, V8, P515, DOI 10.5194/bg-8-515-2011
PRICE NM, 1987, MAR BIOL, V94, P307, DOI 10.1007/BF00392945
Reinthaler T, 2010, DEEP-SEA RES PT II, V57, P1572, DOI 10.1016/j.dsr2.2010.02.023
REMSEN CC, 1971, LIMNOL OCEANOGR, V16, P732, DOI 10.4319/lo.1971.16.5.0732
Roslev P, 2004, J MICROBIOL METH, V59, P381, DOI 10.1016/j.mimet.2004.08.002
Serreze MC, 2006, CLIMATIC CHANGE, V76, P241, DOI 10.1007/s10584-005-9017-y
Sherr EB, 2003, DEEP-SEA RES PT I, V50, P557, DOI 10.1016/S0967-0637(03)00031-1
Simpson KG, 2013, MAR ECOL PROG SER, V484, P33, DOI 10.3354/meps10275
Simpson KG, 2013, MAR ECOL PROG SER, V484, P47, DOI 10.3354/meps10298
SMITH WO, 1991, DEEP-SEA RES, V38, P1463, DOI 10.1016/0198-0149(91)90085-T
Solomon CM, 2010, AQUAT MICROB ECOL, V59, P67, DOI 10.3354/ame01390
Stroeve JC, 2012, CLIMATIC CHANGE, V110, P1005, DOI 10.1007/s10584-011-0101-1
Ward BB, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P199, DOI 10.1016/B978-0-12-372522-6.00005-0
Wawrik B, 2012, FEMS MICROBIOL ECOL, V81, P26, DOI 10.1111/j.1574-6941.2011.01272.x
Wawrik B, 2012, FEMS MICROBIOL ECOL, V79, P400, DOI 10.1111/j.1574-6941.2011.01226.x
Wawrik B, 2009, APPL ENVIRON MICROB, V75, P6662, DOI 10.1128/AEM.01002-09
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wuchter C, 2003, FEMS MICROBIOL LETT, V219, P203, DOI 10.1016/S0378-1097(03)00060-0
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
Yakimov MM, 2011, ISME J, V5, P945, DOI 10.1038/ismej.2010.197
NR 70
TC 54
Z9 63
PD OCT
PY 2014
VL 80
IS 19
BP 6013
EP 6022
DI 10.1128/AEM.01431-14
UT WOS:000341887100015
DA 2025-07-30
ER
PT J
AU Yeo, SK
Huggett, MJ
Eiler, A
Rappé, MS
AF Yeo, Sara K.
Huggett, Megan J.
Eiler, Alexander
Rappe, Michael S.
TI Coastal Bacterioplankton Community Dynamics in Response to a Natural
Disturbance
SO PLOS ONE
DT Article
AB In order to characterize how disturbances to microbial communities are propagated over temporal and spatial scales in aquatic environments, the dynamics of bacterial assemblages throughout a subtropical coastal embayment were investigated via SSU rRNA gene analyses over an 8-month period, which encompassed a large storm event. During non-perturbed conditions, sampling sites clustered into three groups based on their microbial community composition: an offshore oceanic group, a freshwater group, and a distinct and persistent coastal group. Significant differences in measured environmental parameters or in the bacterial community due to the storm event were found only within the coastal cluster of sampling sites, and only at 5 of 12 locations; three of these sites showed a significant response in both environmental and bacterial community characteristics. These responses were most pronounced at sites close to the shoreline. During the storm event, otherwise common bacterioplankton community members such as marine Synechococcus sp. and members of the SAR11 clade of Alphaproteobacteria decreased in relative abundance in the affected coastal zone, whereas several lineages of Gammaproteobacteria, Betaproteobacteria, and members of the Roseobacter clade of Alphaproteobacteria increased. The complex spatial patterns in both environmental conditions and microbial community structure related to freshwater runoff and wind convection during the perturbation event leads us to conclude that spatial heterogeneity was an important factor influencing both the dynamics and the resistance of the bacterioplankton communities to disturbances throughout this complex subtropical coastal system. This heterogeneity may play a role in facilitating a rapid rebound of regions harboring distinctly coastal bacterioplankton communities to their pre-disturbed taxonomic composition.
C1 [Yeo, Sara K.; Huggett, Megan J.; Eiler, Alexander; Rappe, Michael S.] Univ Hawaii, Sch Ocean & Earth Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI 96744 USA.
[Yeo, Sara K.] Univ Hawaii, Sch Ocean & Earth Sci & Technol, Dept Oceanog, Honolulu, HI 96822 USA.
RP Rappé, MS (corresponding author), Univ Hawaii, Sch Ocean & Earth Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI 96744 USA.
EM rappe@hawaii.edu
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
[Anonymous], 1972, FISHERIES RES BOARD
ARMSTRONG FA, 1967, DEEP-SEA RES, V14, P381, DOI 10.1016/0011-7471(67)90082-4
Azam F, 2001, NATURE, V414, P495, DOI 10.1038/35107174
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Beisner BE, 2006, ECOLOGY, V87, P2985, DOI 10.1890/0012-9658(2006)87[2985:TROEAS]2.0.CO;2
Bernhard AE, 2005, FEMS MICROBIOL ECOL, V52, P115, DOI 10.1016/j.femsec.2004.10.016
Bernhardt H., 1967, Technicon Symp, V1, P385
BIDLE KD, 1995, APPL ENVIRON MICROB, V61, P944, DOI 10.1128/AEM.61.3.944-952.1995
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Brandon ML, 2006, THESIS U HAWAII MANO
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Clarke AR, 1993, MAR ECOL PROG SER, V92, P205
CLARKE KR, 1988, MAR ECOL PROG SER, V46, P213, DOI 10.3354/meps046213
CONNELL JH, 1978, SCIENCE, V199, P1302, DOI 10.1126/science.199.4335.1302
Cotner JB, 2002, ECOSYSTEMS, V5, P105, DOI 10.1007/s10021-001-0059-3
Cox EF, 2006, MAR ECOL PROG SER, V324, P19, DOI 10.3354/meps324019
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Drupp P, 2011, AQUAT GEOCHEM, V17, P473, DOI 10.1007/s10498-010-9115-y
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Grimm V, 1997, OECOLOGIA, V109, P323, DOI 10.1007/s004420050090
Hartigan J. A., 1979, Applied Statistics, V28, P100, DOI 10.2307/2346830
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
Hoover D, 2002, THESIS U HAWAII MANO
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Kan JJ, 2006, AQUAT MICROB ECOL, V42, P7, DOI 10.3354/ame042007
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Liao PC, 2007, MICROB ECOL, V54, P497, DOI 10.1007/s00248-007-9217-2
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Maidak BL, 1996, NUCLEIC ACIDS RES, V24, P82, DOI 10.1093/nar/24.1.82
Miller M.A., 2010, The CIPRES Portals
MONGER BC, 1993, APPL ENVIRON MICROB, V59, P905, DOI 10.1128/AEM.59.3.905-911.1993
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Nogales B, 2007, ENVIRON MICROBIOL, V9, P1913, DOI 10.1111/j.1462-2920.2007.01308.x
Osborne CA, 2006, APPL ENVIRON MICROB, V72, P1270, DOI 10.1128/AEM.72.2.1270-1278.2006
Ostrander CE, 2008, ESTUAR COAST, V31, P192, DOI 10.1007/s12237-007-9001-z
Piccini C, 2006, APPL ENVIRON MICROB, V72, P6560, DOI 10.1128/AEM.01089-06
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Ringuet S, 2005, ESTUARIES, V28, P327, DOI 10.1007/BF02693916
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
SMITH SV, 1981, PAC SCI, V35, P279
Stamatakis A, 2008, SYST BIOL, V57, P758, DOI 10.1080/10635150802429642
Stamatakis A, 2006, BIOINFORMATICS, V22, P2688, DOI 10.1093/bioinformatics/btl446
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Thompson JR, 2002, NUCLEIC ACIDS RES, V30, P2083, DOI 10.1093/nar/30.9.2083
U. S. EPA, 1983, METH CHEM AN WAT WAS
Vieira RP, 2008, ENVIRON MICROBIOL, V10, P189, DOI 10.1111/j.1462-2920.2007.01443.x
WILLEMS A, 1989, INT J SYST BACTERIOL, V39, P319, DOI 10.1099/00207713-39-3-319
Yarza P, 2008, SYST APPL MICROBIOL, V31, P241, DOI 10.1016/j.syapm.2008.07.001
NR 58
TC 68
Z9 83
PD FEB 7
PY 2013
VL 8
IS 2
AR e56207
DI 10.1371/journal.pone.0056207
UT WOS:000315157200122
DA 2025-07-30
ER
PT J
AU Connon, SA
Giovannoni, SJ
AF Connon, SA
Giovannoni, SJ
TI High-throughput methods for culturing microorganisms in
very-low-nutrient media yield diverse new marine isolates
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Microbial diversity studies based on the cloning and sequencing of DNA from nature support the conclusion that only a fraction of the microbial diversity is currently represented in culture collections. Out of over 40 known prokaryotic phyla, only half have cultured representatives. In an effort to culture the uncultured phylotypes from oligotrophic marine ecosystems, we developed high-throughput culturing procedures that utilize the concept of extinction culturing to isolate cultures in small volumes of low-nutrient media. In these experiments, marine bacteria were isolated and cultivated at in situ substrate concentrations-typically 3 orders of magnitude less than common laboratory media. Microtiter plates and a newly developed procedure for making cell arrays were employed to raise the throughput rate and lower detection sensitivity, permitting cell enumeration from 200-mul aliquots of cultures with densities as low as 10(3) cells/ml. Approximately 2,500 extinction cultures from 11 separate samplings of marine bacterio plankton were screened over the course of 3 years. Up to 14% of the cells collected from coastal seawater were cultured by this method, which was 14- to 1,400-fold higher than the numbers obtained by traditional microbiological culturing techniques. Among the microorganisms cultured were four unique cell lineages that belong to previously uncultured or undescribed marine Proteobacteria clades known from environmental gene cloning studies. These cultures are related to the clades SAR11 (alpha subclass), OM43 (beta subclass), SAR92 (gamma subclass), and OM60/OM241 (gamma subclass). This method proved successful for the cultivation of previously uncultured marine bacterioplankton that have consistently been found in marine clone libraries.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
CR AMMERMAN JW, 1984, MAR ECOL PROG SER, V18, P31, DOI 10.3354/meps018031
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
BAXTER M, 1984, APPL ENVIRON MICROB, V47, P31, DOI 10.1128/AEM.47.1.31-38.1984
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
BOOGERD FC, 1989, P INT S BIOH CANMET, P735
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Button DK, 1998, APPL ENVIRON MICROB, V64, P4467
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
DEBRUYN JC, 1990, APPL ENVIRON MICROB, V56, P2891, DOI 10.1128/AEM.56.9.2891-2894.1990
Deming JW, 2000, NONCULTURABLE MICROORGANISMS IN THE ENVIRONMENT, P147
FERGUSON RL, 1984, APPL ENVIRON MICROB, V47, P49, DOI 10.1128/AEM.47.1.49-55.1984
Ferris MJ, 1996, APPL ENVIRON MICROB, V62, P1045, DOI 10.1128/AEM.62.3.1045-1050.1996
FROTHINGHAM R, 1992, BIOTECHNIQUES, V13, P208
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
JANNASCH HW, 1959, LIMNOL OCEANOGR, V4, P128, DOI 10.4319/lo.1959.4.2.0128
KOGURE K, 1979, CAN J MICROBIOL, V25, P415, DOI 10.1139/m79-063
KOOPS HP, 1992, PROKARYOTES, V3, P2626
Lane D.J., 1991, NUCL ACID TECHNIQUES
Lanoil BD, 2000, ENVIRON MICROBIOL, V2, P654, DOI 10.1046/j.1462-2920.2000.00148.x
LI WKW, 1985, MAR ECOL PROG SER, V26, P245, DOI 10.3354/meps026245
Nold SC, 1996, APPL ENVIRON MICROB, V62, P3917, DOI 10.1128/AEM.62.11.3917-3921.1996
OU CY, 1991, BIOTECHNIQUES, V10, P442
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Schut F, 1997, FEMS MICROBIOL REV, V20, P363, DOI 10.1016/S0168-6445(97)00018-1
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Strunk O., 1996, ARB SOFTWARE ENV SEQ
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
SWOFFORD DL, 2001, PAUPASTERIX PHYLOGEN
Turley C.M., 1993, Handbook of Methods in Aquatic Microbial Ecology, P143
Vancanneyt M, 2001, INT J SYST EVOL MICR, V51, P73, DOI 10.1099/00207713-51-1-73
Vergin KL, 2001, BIOTECHNIQUES, V30, P938, DOI 10.2144/01305bm03
Wang Y, 1996, APPL ENVIRON MICROB, V62, P2169, DOI 10.1128/AEM.62.6.2169-2173.1996
Wirsen CO, 2002, APPL ENVIRON MICROB, V68, P316, DOI 10.1128/AEM.68.1.316-325.2002
NR 40
TC 531
Z9 658
PD AUG
PY 2002
VL 68
IS 8
BP 3878
EP 3885
DI 10.1128/AEM.68.8.3878-3885.2002
UT WOS:000177260500028
DA 2025-07-30
ER
PT J
AU Cram, JA
Hollins, A
Mccarty, AJ
Martinez, G
Cui, MM
Gomes, ML
Fuchsman, CA
AF Cram, Jacob A.
Hollins, Ashley
Mccarty, Alexandra J.
Martinez, Grace
Cui, Minming
Gomes, Maya L.
Fuchsman, Clara A.
TI Microbial diversity and abundance vary along salinity, oxygen, and
particle size gradients in the Chesapeake Bay
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Marine snow and other particles are abundant in estuaries, where they drive biogeochemical transformations and elemental transport. Particles range in size, thereby providing a corresponding gradient of habitats for marine microorganisms. We used standard normalized amplicon sequencing, verified with microscopy, to characterize taxon-specific microbial abundances, (cells per litre of water and per milligrams of particles), across six particle size classes, ranging from 0.2 to 500 mu m, along the main stem of the Chesapeake Bay estuary. Microbial communities varied in salinity, oxygen concentrations, and particle size. Many taxonomic groups were most densely packed on large particles (in cells/mg particles), yet were primarily associated with the smallest particle size class, because small particles made up a substantially larger portion of total particle mass. However, organisms potentially involved in methanotrophy, nitrite oxidation, and sulphate reduction were found primarily on intermediately sized (5-180 mu m) particles, where species richness was also highest. All abundant ostensibly free-living organisms, including SAR11 and Synecococcus, appeared on particles, albeit at lower abundance than in the free-living fraction, suggesting that aggregation processes may incorporate them into particles. Our approach opens the door to a more quantitative understanding of the microscale and macroscale biogeography of marine microorganisms.
Overview of the particle size fractionation approach, and of the microbial community structure of free living bacteria and ones attached to small, intermediate and large particles. Arrows at the bottom indicate that bacterial abundance is highest in the planktonic stages and on smaller particles, and that small particles are more abundance than large ones.image
C1 [Cram, Jacob A.; Hollins, Ashley; Mccarty, Alexandra J.; Fuchsman, Clara A.] Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.
[Mccarty, Alexandra J.] Virginia Inst Marine Sci, Marine Advisory Program, Gloucester, VA USA.
[Martinez, Grace] Maryland Sea Grant, College Pk, MD USA.
[Cui, Minming; Gomes, Maya L.] Johns Hopkins Univ, Earth & Planetary Sci, Baltimore, MD USA.
RP Cram, JA (corresponding author), Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.
EM jcram@umces.edu
CR ALLDREDGE AL, 1986, LIMNOL OCEANOGR, V31, P68, DOI 10.4319/lo.1986.31.1.0068
ALLDREDGE AL, 1988, LIMNOL OCEANOGR, V33, P339, DOI 10.4319/lo.1988.33.3.0339
ALLDREDGE AL, 1988, PROG OCEANOGR, V20, P41, DOI 10.1016/0079-6611(88)90053-5
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Arora-Williams K, 2022, ENVIRON MICROBIOL, V24, P2315, DOI 10.1111/1462-2920.15976
ARTHUR MA, 1985, NATURE, V315, P216, DOI 10.1038/315216a0
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Barbera P, 2019, SYST BIOL, V68, P365, DOI 10.1093/sysbio/syy054
BAROSS JA, 1994, CHANGES IN FLUXES IN ESTUARIES: IMPLICATIONS FROM SCIENCE TO MANAGEMENT, P459
Bertagnolli AD, 2020, ENV MICROBIOL REP, V12, P681, DOI 10.1111/1758-2229.12879
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
BIDLE KD, 1995, APPL ENVIRON MICROB, V61, P944, DOI 10.1128/AEM.61.3.944-952.1995
Boyd C.E., 2014, Global Aquaculture Advocate, V3, P34
Brauer A, 2022, MICROBIOLOGYOPEN, V11, DOI 10.1002/mbo3.1323
Bryant DA, 2006, TRENDS MICROBIOL, V14, P488, DOI 10.1016/j.tim.2006.09.001
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
CLINE JD, 1969, LIMNOL OCEANOGR, V14, P454, DOI 10.4319/lo.1969.14.3.0454
COLWELL RR, 1977, SCIENCE, V198, P394, DOI 10.1126/science.198.4315.394-a
Coolen MJL, 2007, ENVIRON MICROBIOL, V9, P1001, DOI 10.1111/j.1462-2920.2006.01227.x
Cram JA, 2018, GLOBAL BIOGEOCHEM CY, V32, P858, DOI 10.1029/2017GB005710
Cram JA, 2016, LIMNOL OCEANOGR, V61, P889, DOI 10.1002/lno.10259
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Crump BC, 2000, MAR ECOL PROG SER, V206, P13, DOI 10.3354/meps206013
Crump BC, 2007, APPL ENVIRON MICROB, V73, P6802, DOI 10.1128/AEM.00648-07
Cruz BN, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01864
Czech L, 2020, BIOINFORMATICS, V36, P3263, DOI 10.1093/bioinformatics/btaa070
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DeVries T, 2014, BIOGEOSCIENCES, V11, P5381, DOI 10.5194/bg-11-5381-2014
Dissanayake AL, 2018, J GEOPHYS RES-OCEANS, V123, P5388, DOI 10.1029/2018JC013790
Dougherty E., 2021, Oceanography
Douglas GM, 2020, NAT BIOTECHNOL, V38, P685, DOI 10.1038/s41587-020-0548-6
Elbrecht V, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130324
Espejo RT, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01232
Farnelid H., 2018, The ISME Journal, V16, P1
Findlay AJ, 2015, APPL ENVIRON MICROB, V81, P7560, DOI 10.1128/AEM.02062-15
Flintrop CM, 2018, LIMNOL OCEANOGR-METH, V16, P339, DOI 10.1002/lom3.10251
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Froelich B, 2013, APPL ENVIRON MICROB, V79, P1454, DOI 10.1128/AEM.03095-12
Fuchsman C.A., 2012, Frontiers in Microbiology, V3
Fuchsman CA, 2022, ENVIRON MICROBIOL, V24, P1790, DOI 10.1111/1462-2920.15893
Fuchsman CA, 2019, ISME J, V13, P2714, DOI 10.1038/s41396-019-0452-6
Fuchsman CA, 2019, GLOBAL BIOGEOCHEM CY, V33, P143, DOI 10.1029/2018GB006032
Fuchsman CA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02384
Fuchsman CA, 2012, FEMS MICROBIOL ECOL, V80, P402, DOI 10.1111/j.1574-6941.2012.01306.x
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Garcia JL, 2000, ANAEROBE, V6, P205, DOI 10.1006/anae.2000.0345
Gelesh L, 2016, LIMNOL OCEANOGR, V61, pS253, DOI 10.1002/lno.10272
GEYER WR, 1993, ESTUARIES, V16, P113, DOI 10.2307/1352769
Gifford SM, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.575194
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hagen RA, 1999, MAR GEOL, V158, P75, DOI 10.1016/S0025-3227(98)00185-6
Han ZR, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.626
Harker M, 1998, INT J SYST BACTERIOL, V48, P543, DOI 10.1099/00207713-48-2-543
Ji QX, 2018, BIOGEOSCIENCES, V15, P6127, DOI 10.5194/bg-15-6127-2018
Johansson ON, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01828
Kan J, 2007, APPL ENVIRON MICROB, V73, P6776, DOI 10.1128/AEM.00541-07
Kan JJ, 2006, LIMNOL OCEANOGR, V51, P2157, DOI 10.4319/lo.2006.51.5.2157
Kanehisa M, 2017, METHODS MOL BIOL, V1611, P135, DOI 10.1007/978-1-4939-7015-5_11
KANEKO T, 1973, J BACTERIOL, V113, P24, DOI 10.1128/JB.113.1.24-32.1973
Kang J.C., 1997, Journal of Fish Pathology, V10, P65
Kimmel DG, 2006, LIMNOL OCEANOGR, V51, P131, DOI 10.4319/lo.2006.51.1.0131
Kiorboe T, 2003, APPL ENVIRON MICROB, V69, P3036, DOI 10.1128/AEM.69.6.3036-3047.2003
Kirstein IV, 2016, MAR ENVIRON RES, V120, P1, DOI 10.1016/j.marenvres.2016.07.004
Laperriere SM, 2019, ESTUAR COAST, V42, P33, DOI 10.1007/s12237-018-0441-4
Lee DY, 2012, MAR ECOL PROG SER, V449, P65, DOI 10.3354/meps09543
Lee M., 2019, J. Open Source Educ., V2, P53, DOI DOI 10.21105/JOSE.00053
Leu AO, 2022, MBIO, V13, DOI 10.1128/mbio.01569-22
Liang JC, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00217-19
LOGAN BE, 1990, LIMNOL OCEANOGR, V35, P130, DOI 10.4319/lo.1990.35.1.0130
Long RA, 2001, AQUAT MICROB ECOL, V26, P103, DOI 10.3354/ame026103
Louca S, 2018, BIOINFORMATICS, V34, P1053, DOI 10.1093/bioinformatics/btx701
LUTHER GW, 1988, ESTUARIES, V11, P281, DOI 10.2307/1352015
MAC ARTHUR ROBERT H., 1967
Madigan M.T., 2005, BROCK BIOL MICROORGA
Malpezzi MA, 2013, MAR ECOL PROG SER, V486, P23, DOI 10.3354/meps10362
McNichol J, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00565-21
Mestre M., 2018, Proceedings of the National Academy of Sciences, V27
Mestre M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01590
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Montagna M, 2013, APPL ENVIRON MICROB, V79, P3241, DOI 10.1128/AEM.03971-12
Nearing JT, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01059-0
Needham D., 2018, Fuhrman lab 515F926R16S and 18S rRNA gene sequencing protocol v2 [Internet]
Oksanen Jari, 2024, CRAN
Palinkas CM, 2019, ESTUAR COAST, V42, P2072, DOI 10.1007/s12237-019-00634-x
Parsons T.R., 1984, MANUAL CHEM BIOL MET, V1, P173
Phillips CJ, 1999, APPL ENVIRON MICROB, V65, P779
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Ploug H, 1997, AQUAT MICROB ECOL, V13, P285, DOI 10.3354/ame013285
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Raven MR, 2021, SCIENCE, V371, P178, DOI 10.1126/science.abc6035
REEBURGH WS, 1969, LIMNOL OCEANOGR, V14, P368, DOI 10.4319/lo.1969.14.3.0368
RODEN EE, 1993, BIOGEOCHEMISTRY, V22, P81, DOI 10.1007/BF00002706
RODEN EE, 1992, LIMNOL OCEANOGR, V37, P725, DOI 10.4319/lo.1992.37.4.0725
Ruppert E.E., 2004, INVERTEBR ZOOL
Sanford LP, 2001, ESTUARIES, V24, P655, DOI 10.2307/1352874
Saunders JK, 2019, P NATL ACAD SCI USA, V116, P9925, DOI 10.1073/pnas.1818349116
SCHUBEL JR, 1968, SCIENCE, V161, P1013, DOI 10.1126/science.161.3845.1013
Shibata A, 1997, MAR ECOL PROG SER, V155, P303, DOI 10.3354/meps155303
Shibl AA, 2020, P NATL ACAD SCI USA, V117, P27445, DOI 10.1073/pnas.2012088117
Shu Q., 2011, African Journal of Microbiology Research, V5
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
SIMON M, 1990, MAR ECOL PROG SER, V65, P205, DOI 10.3354/meps065205
Stief P., 2016, Frontiers in Microbiology, V7
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Tee HS, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01145-3
Testa JM, 2018, LIMNOL OCEANOGR, V63, P2045, DOI 10.1002/lno.10823
Tourlousse DM, 2017, NUCLEIC ACIDS RES, V45, DOI 10.1093/nar/gkw984
Trojan D, 2016, SYST APPL MICROBIOL, V39, P297, DOI 10.1016/j.syapm.2016.05.006
Tsubokura A, 1999, INT J SYST BACTERIOL, V49, P277, DOI 10.1099/00207713-49-1-277
Turk V., 2021, Coastal ecosystems in transition: a comparative analysis of the northern Adriatic and Chesapeake Bay
Turner JS, 2021, SCI TOTAL ENVIRON, V769, DOI 10.1016/j.scitotenv.2021.145157
Vanwonterghem I, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.170, 10.1038/nmicrobiol.2016.170]
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vetrovsky T, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057923
Wang HL, 2020, LIMNOL OCEANOGR, V65, P3032, DOI 10.1002/lno.11572
Wang JH, 2021, ESTUAR COAST, V44, P672, DOI 10.1007/s12237-020-00806-0
Weber T, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00376
Willis A., 2018, Breakaway: species richness estimation and modeling [Internet]
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Zhang Q, 2018, SCI TOTAL ENVIRON, V619, P1066, DOI 10.1016/j.scitotenv.2017.10.279
Zhang X, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC003085
Zhang Y, 2016, J GEOPHYS RES-BIOGEO, V121, P2261, DOI 10.1002/2016JG003390
Zhao R, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44585-6
Zimmerman AR, 2001, ESTUAR COAST SHELF S, V53, P319, DOI 10.1006/ecss.2001.0815
Zumft WG, 1997, MICROBIOL MOL BIOL R, V61, P533, DOI 10.1128/.61.4.533-616.1997
NR 127
TC 8
Z9 8
PD JAN
PY 2024
VL 26
IS 1
DI 10.1111/1462-2920.16557
EA JAN 2024
UT WOS:001135805600001
DA 2025-07-30
ER
PT J
AU Sebastián, M
Pitta, P
González, JM
Thingstad, TF
Gasol, JM
AF Sebastian, Marta
Pitta, Paraskevi
Gonzalez, Jose M.
Thingstad, T. Frede
Gasol, Josep M.
TI Bacterioplankton groups involved in the uptake of phosphate and
dissolved organic phosphorus in a mesocosm experiment with P-starved
Mediterranean waters
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The use of inorganic phosphate (Pi) and dissolved organic phosphorus (DOP) by different bacterial groups was studied in experimental mesocosms of P-starved eastern Mediterranean waters in the absence (control mesocosms) and presence of additional Pi (P-amended mesocosms). The low Pi turnover times in the control mesocosms and the increase in heterotrophic prokaryotic abundance and production upon Pi addition confirmed that the bacterial community was originally P-limited. The bacterioplankton groups taking up Pi and DOP were identified by means of microautoradiography combined with catalysed reporter deposition fluorescence in situ hybridization. Incubations with leucine were also performed for comparative purposes. All the probe-identified groups showed a high percentage of cells taking up Pi and DOP in the control, P-limited, mesocosms throughout the experiment. However, in response to Pi addition two contrasting scenarios in Pi use were observed: (i) on day 1 of the experiment Pi addition caused a clear reduction in the percentage of SAR11 cells taking up Pi, whereas Gammaproteobacteria, Roseobacter and Bacteroidetes showed similar percentages to the ones in the control mesocosms and (ii) on day 4 of the experiment, probably when the bacterial community had fully responded to the P input, all the probe-identified groups showed low percentages of cells taking up the substrate as compared with the control mesocosms. These differences are likely related to different P requirements among the bacterial groups and point out to the existence of two contrasting strategies in P use.
C1 [Sebastian, Marta; Gasol, Josep M.] CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, E-08003 Barcelona, Catalunya, Spain.
[Pitta, Paraskevi] Hellen Ctr Marine Res, Oceanog Inst, Iraklion 71003, Crete, Greece.
[Gonzalez, Jose M.] Univ La Laguna, Dept Microbiol, ES-38206 Tenerife, Spain.
[Thingstad, T. Frede] Univ Bergen, Dept Biol, N-5020 Bergen, Norway.
RP Sebastián, M (corresponding author), CSIC, Inst Ciencies Mar, Dept Biol Marina & Oceanog, Pg Maritim Barceloneta 37-49, E-08003 Barcelona, Catalunya, Spain.
EM msebastian@icm.csic.es
CR Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Ammerman J.W., 2003, EOS T AM GEOPHYS UN, V84, P165, DOI [10.1029/2003-o180001, DOI 10.1029/2003-O180001, DOI 10.1029/2003EO180001]
AMMERMAN JW, 1991, LIMNOL OCEANOGR, V36, P1427, DOI 10.4319/lo.1991.36.7.1427
AMMERMAN JW, 1985, SCIENCE, V227, P1338, DOI 10.1126/science.227.4692.1338
AZAM F, 1977, LIMNOL OCEANOGR, V22, P492, DOI 10.4319/lo.1977.22.3.0492
BENGISGARBER C, 1982, J BACTERIOL, V149, P808, DOI 10.1128/JB.149.3.808-815.1982
BENTZEN E, 1992, LIMNOL OCEANOGR, V37, P217, DOI 10.4319/lo.1992.37.2.0217
BOSSARD P, 1986, J PLANKTON RES, V8, P1, DOI 10.1093/plankt/8.1.1
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Caron DA, 2000, AQUAT MICROB ECOL, V22, P175, DOI 10.3354/ame022175
Casey JR, 2009, AQUAT MICROB ECOL, V58, P31, DOI 10.3354/ame01348
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
CURRIE DJ, 1984, LIMNOL OCEANOGR, V29, P311, DOI 10.4319/lo.1984.29.2.0311
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
De Corte D, 2009, ISME J, V3, P147, DOI 10.1038/ismej.2008.94
del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, V2nd
Ducobu H, 1998, J PHYCOL, V34, P467, DOI 10.1046/j.1529-8817.1998.340467.x
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Flaten GAF, 2005, DEEP-SEA RES PT II, V52, P2928, DOI 10.1016/j.dsr2.2005.08.010
Geissdörfer W, 1998, APPL ENVIRON MICROB, V64, P896
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Jahid IK, 2006, APPL ENVIRON MICROB, V72, P7043, DOI 10.1128/AEM.00924-06
JANSSON M, 1993, LIMNOL OCEANOGR, V38, P1162, DOI 10.4319/lo.1993.38.6.1162
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
KROM MD, 1991, LIMNOL OCEANOGR, V36, P424, DOI 10.4319/lo.1991.36.3.0424
Krom MD, 2005, DEEP-SEA RES PT II, V52, P3090, DOI 10.1016/j.dsr2.2005.08.018
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Larsen A, 2008, LIMNOL OCEANOGR-METH, V6, P355, DOI 10.4319/lom.2008.6.355
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lomas MW, 2010, BIOGEOSCIENCES, V7, P695, DOI 10.5194/bg-7-695-2010
Longnecker K, 2010, ENVIRON MICROBIOL, V12, P2773, DOI 10.1111/j.1462-2920.2010.02247.x
Lovdal T, 2007, LIMNOL OCEANOGR, V52, P1407, DOI 10.4319/lo.2007.52.4.1407
Lugtenberg B., 1987, HOSPHATE METABOLISM, P1
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
MARTINEZ J, 1993, MAR ECOL PROG SER, V92, P89, DOI 10.3354/meps092089
McComb R.B., 1979, Alkaline Phosphatase
Michelou VK, 2011, LIMNOL OCEANOGR, V56, P323, DOI 10.4319/lo.2011.56.1.0323
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Moutin T, 2002, LIMNOL OCEANOGR, V47, P1562, DOI 10.4319/lo.2002.47.5.1562
Musat N, 2008, P NATL ACAD SCI USA, V105, P17861, DOI 10.1073/pnas.0809329105
Nielsen JL, 2003, ENVIRON MICROBIOL, V5, P202, DOI 10.1046/j.1462-2920.2003.00402.x
Okabe S., 2004, Microb. Environ, V19, P83
Orchard ED, 2010, LIMNOL OCEANOGR, V55, P2161, DOI 10.4319/lo.2010.55.5.2161
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Perry R.P., 1964, Methods Cell Biol., V1, P305, DOI [10.1016/S0091-679X(08)62097-X, DOI 10.1016/S0091-679X(08)62097-X]
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Pitta P, 2005, DEEP-SEA RES PT II, V52, P2961, DOI 10.1016/j.dsr2.2005.08.012
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Pulido-Villena E, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2009GL041415
Rivkin RB, 1997, LIMNOL OCEANOGR, V42, P730, DOI 10.4319/lo.1997.42.4.0730
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Sebastian M, 2011, ENV MICROBIOL REP, V3, P535, DOI 10.1111/j.1758-2229.2011.00253.x
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
SEEGER M, 1993, FEMS MICROBIOL LETT, V108, P35
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Strickland J.D.H., 1972, B FISH RES BOARD CAN, V310
SUTTLE CA, 1988, OECOLOGIA, V74, P571, DOI 10.1007/BF00380055
SUTTLE CA, 1990, LIMNOL OCEANOGR, V35, P424, DOI 10.4319/lo.1990.35.2.0424
Talarmin A, 2011, LIMNOL OCEANOGR-METH, V9, P443, DOI 10.4319/lom.2011.9.443
TAMMINEN T, 1989, MAR ECOL PROG SER, V58, P89, DOI 10.3354/meps058089
Tanaka T, 2004, LIMNOL OCEANOGR, V49, P1063, DOI 10.4319/lo.2004.49.4.1063
Tanaka T, 2011, BIOGEOSCIENCES, V8, P525, DOI 10.5194/bg-8-525-2011
Tanaka T, 2007, DEEP-SEA RES PT I, V54, P1721, DOI 10.1016/j.dsr.2007.06.008
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Temperton B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016499
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Thingstad TF, 1998, LIMNOL OCEANOGR, V43, P88, DOI 10.4319/lo.1998.43.1.0088
THINGSTAD TF, 1993, MAR ECOL PROG SER, V99, P239, DOI 10.3354/meps099239
Thingstad TF, 1996, AQUAT MICROB ECOL, V10, P29, DOI 10.3354/ame010029
TIJSSEN JPF, 1982, BIOCHIM BIOPHYS ACTA, V721, P394, DOI 10.1016/0167-4889(82)90094-5
VADSTEIN O, 1989, LIMNOL OCEANOGR, V34, P939, DOI 10.4319/lo.1989.34.5.0939
Van Mooy BAS, 2008, LIMNOL OCEANOGR, V53, P78, DOI 10.4319/lo.2008.53.1.0078
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
Van Mooy BAS, 2009, NATURE, V458, P69, DOI 10.1038/nature07659
Van Wambeke F, 2002, MICROB ECOL, V43, P119, DOI 10.1007/s00248-001-0038-4
Vaulot D, 1996, APPL ENVIRON MICROB, V62, P2527, DOI 10.1128/AEM.62.7.2527-2533.1996
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
Wanner B.L., 1996, Escherichia coli and Salmonella: Cell. Mol. Biol., V41, P1357, DOI DOI 10.1007/978-3-642-75969-7_16
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Zohary T, 1998, LIMNOL OCEANOGR, V43, P387, DOI 10.4319/lo.1998.43.3.0387
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
ZWEIFEL UL, 1995, APPL ENVIRON MICROB, V61, P2180, DOI 10.1128/AEM.61.6.2180-2185.1995
NR 91
TC 30
Z9 33
PD SEP
PY 2012
VL 14
IS 9
SI SI
BP 2334
EP 2347
DI 10.1111/j.1462-2920.2012.02772.x
UT WOS:000308300600008
DA 2025-07-30
ER
PT J
AU Mou, XZ
Hodson, RE
Moran, MA
AF Mou, Xiaozhen
Hodson, Robert E.
Moran, Mary Ann
TI Bacterioplankton assemblages transforming dissolved organic compounds in
coastal seawater
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB To characterize bacterioplankton functional assemblages that transform specific components of the coastal seawater dissolved organic carbon (DOC) pool, bromodeoxyuridine (BrdU) was used to label the bacterioplankton cells that were active following addition of single-DOC model compounds: two organic osmolytes [dimethylsulfoniopropionate (DMSP) and glycine betaine (GIyB)] and two aromatic monomers [para-hydroxybenzoic acid (pHBA) and vanillic acid (VanA)]. Bacterial populations were analysed based on in situ fluorescent immunodetection of BrdU incorporation followed by fluorescence-activated cell sorting (FACS). Sorted cells were then characterized by 16S rDNA-based analysis. Populations with high BrdU incorporation level (HI) developed within 8 h of introduction of 100 nM model compound. Terminal restriction fragment length polymorphisms (T-RFLP) analysis indicated that the HI populations in all four amendments were composed of bacteria from the same major taxa (phylum and subphylum levels), but the relative abundance of each differed. High-resolution clone libraries (each containing similar to 200 clones) showed that the HI populations in the GIyB and VanA amendments consisted of both metabolic generalists and specialists within the alpha-Proteobacteria (mainly members of the Roseobacter clade), beta-Proteobacteria and gamma-Proteobacteria (mainly members of Altermonadaceae, Chromatiaceae, Oceanospirillaceae and Pseudomonadaceae). The presence of members of OM60/241, OM185, SAR11, SAR86 and SAR116 in the HI populations indicated that members of these groups can assimilate the model DOC compounds, providing some of the first glimpses into heterotrophy by members of these poorly understood environmental clusters.
C1 Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
[Anonymous], 1963, The mathematical theory of communication
Artursson V, 2003, APPL ENVIRON MICROB, V69, P6208, DOI 10.1128/AEM.69.10.6208-6215.2003
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Borneman J, 1999, APPL ENVIRON MICROB, V65, P3398
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Burton RS, 1996, J EXP MAR BIOL ECOL, V200, P85, DOI 10.1016/S0022-0981(96)02641-X
CHAO A, 1984, SCAND J STAT, V11, P265
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cole JR, 2003, NUCLEIC ACIDS RES, V31, P442, DOI 10.1093/nar/gkg039
Collier JL, 1999, HYDROBIOLOGIA, V401, P33
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
DINJENS WNM, 1992, HISTOCHEMISTRY, V98, P199, DOI 10.1007/BF00315878
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Heijs SK, 2005, FEMS MICROBIOL ECOL, V54, P47, DOI 10.1016/j.femsec.2005.02.007
HODSON RE, 1995, APPL ENVIRON MICROB, V61, P4074, DOI 10.1128/AEM.61.11.4074-4082.1995
Hullar MAJ, 1996, APPL ENVIRON MICROB, V62, P2489, DOI 10.1128/AEM.62.7.2489-2493.1996
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kumar S, 2004, BRIEF BIOINFORM, V5, P150, DOI 10.1093/bib/5.2.150
López-García P, 2003, ENVIRON MICROBIOL, V5, P961, DOI 10.1046/j.1462-2920.2003.00495.x
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
MORAN MA, 1989, LIMNOL OCEANOGR, V34, P1034, DOI 10.4319/lo.1989.34.6.1034
Moran MA, 1999, ESTUARIES, V22, P55, DOI 10.2307/1352927
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
MORAN MA, 1994, LIMNOL OCEANOGR, V39, P762, DOI 10.4319/lo.1994.39.4.0762
MORAN MA, 1991, LIMNOL OCEANOGR, V36, P1134, DOI 10.4319/lo.1991.36.6.1134
Mou XZ, 2005, APPL ENVIRON MICROB, V71, P1405, DOI 10.1128/AEM.71.3.1405-1416.2005
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P5728, DOI 10.1128/AEM.68.11.5728-5736.2002
Pomeroy LR, 2000, ESTUAR COAST SHELF S, V51, P415, DOI 10.1006/ecss.2000.0690
Raymond PA, 2000, AQUAT MICROB ECOL, V22, P1, DOI 10.3354/ame022001
Schloss PD, 2004, MICROBIOL MOL BIOL R, V68, P686, DOI 10.1128/MMBR.68.4.686-691.2004
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schloss PD, 2004, APPL ENVIRON MICROB, V70, P5485, DOI 10.1128/AEM.70.9.5485-5492.2004
Stepanauskas R, 2003, AQUAT MICROB ECOL, V31, P85, DOI 10.3354/ame031085
Urbach E, 1999, APPL ENVIRON MICROB, V65, P1207
NR 38
TC 52
Z9 58
PD AUG
PY 2007
VL 9
IS 8
BP 2025
EP 2037
DI 10.1111/j.1462-2920.2007.01318.x
UT WOS:000248451600013
DA 2025-07-30
ER
PT J
AU Tout, J
Jeffries, TC
Webster, NS
Stocker, R
Ralph, PJ
Seymour, JR
AF Tout, Jessica
Jeffries, Thomas C.
Webster, Nicole S.
Stocker, Roman
Ralph, Peter J.
Seymour, Justin R.
TI Variability in Microbial Community Composition and Function Between
Different Niches Within a Coral Reef
SO MICROBIAL ECOLOGY
DT Article
AB To explore how microbial community composition and function varies within a coral reef ecosystem, we performed metagenomic sequencing of seawater from four niches across Heron Island Reef, within the Great Barrier Reef. Metagenomes were sequenced from seawater samples associated with (1) the surface of the coral species Acropora palifera, (2) the surface of the coral species Acropora aspera, (3) the sandy substrate within the reef lagoon and (4) open water, outside of the reef crest. Microbial composition and metabolic function differed substantially between the four niches. The taxonomic profile showed a clear shift from an oligotroph-dominated community (e.g. SAR11, Prochlorococcus, Synechococcus) in the open water and sandy substrate niches, to a community characterised by an increased frequency of copiotrophic bacteria (e.g. Vibrio, Pseudoalteromonas, Alteromonas) in the coral seawater niches. The metabolic potential of the four microbial assemblages also displayed significant differences, with the open water and sandy substrate niches dominated by genes associated with core house-keeping processes such as amino acid, carbohydrate and protein metabolism as well as DNA and RNA synthesis and metabolism. In contrast, the coral surface seawater metagenomes had an enhanced frequency of genes associated with dynamic processes including motility and chemotaxis, regulation and cell signalling. These findings demonstrate that the composition and function of microbial communities are highly variable between niches within coral reef ecosystems and that coral reefs host heterogeneous microbial communities that are likely shaped by habitat structure, presence of animal hosts and local biogeochemical conditions.
C1 [Tout, Jessica; Jeffries, Thomas C.; Ralph, Peter J.; Seymour, Justin R.] Univ Technol Sydney, Plant Funct Biol & Climate Change Cluster, Sydney, NSW 2007, Australia.
[Webster, Nicole S.] Australian Inst Marine Sci, Townsville, Qld 4810, Australia.
[Stocker, Roman] MIT, Ralph M Parsons Lab, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
RP Tout, J (corresponding author), Univ Technol Sydney, Plant Funct Biol & Climate Change Cluster, Sydney, NSW 2007, Australia.
EM jessica.tout@student.uts.edu.au
CR Agresti A., 1990, CATEGORICAL DATA ANA
Alagely A, 2011, ISME J, V5, P1609, DOI 10.1038/ismej.2011.45
[Anonymous], INVERTEBR MICROBIOL
Banin E, 2001, FEMS MICROBIOL LETT, V199, P33
BARTLETT DH, 1986, J CHEM ECOL, V12, P1071, DOI 10.1007/BF01638997
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bourne D, 2008, ISME J, V2, P350, DOI 10.1038/ismej.2007.112
Bourne DG, 2011, ISME J, V5, P559, DOI 10.1038/ismej.2010.143
Bourne DG, 2005, ENVIRON MICROBIOL, V7, P1162, DOI 10.1111/j.1462-2920.2005.00793.x
Bourne DG, 2013, ISME J, P1
Broadbent AD, 2004, MAR FRESHWATER RES, V55, P849, DOI 10.1071/MF04114
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bruce T, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036687
Cervino JM, 2008, J APPL MICROBIOL, V105, P1658, DOI 10.1111/j.1365-2672.2008.03871.x
CHET I, 1976, ANNU REV MICROBIOL, V30, P221, DOI 10.1146/annurev.mi.30.100176.001253
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Clarke KR., 2006, PRIMER VERSION 7 USE
Delmont TO, 2011, ISME J, V5, P1837, DOI 10.1038/ismej.2011.61
Dinsdale EA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001584
DISALVO L, 1971, CAN J MICROBIOL, V17, P1081, DOI 10.1139/m71-171
DUCKLOW HW, 1979, LIMNOL OCEANOGR, V24, P715, DOI 10.4319/lo.1979.24.4.0715
Edwards JL, 2010, GENES-BASEL, V1, P371, DOI 10.3390/genes1030371
Fan L, 2012, P NATL ACAD SCI USA, V109, pE1878, DOI 10.1073/pnas.1203287109
Frias-Lopez J, 2002, APPL ENVIRON MICROB, V68, P2214, DOI 10.1128/AEM.68.5.2214-2228.2002
Garrido Mario, 2013, ISME J, P1
Gourlay MR, 1996, COAST ENG, V28, P17, DOI 10.1016/0378-3839(96)00009-9
Grossart HP, 2001, AQUAT MICROB ECOL, V25, P247, DOI 10.3354/ame025247
Guppy R, 2006, MAR ECOL PROG SER, V328, P133, DOI 10.3354/meps328133
Hentschel U, 2002, APPL ENVIRON MICROB, V68, P4431, DOI 10.1128/AEM.68.9.4431-4440.2002
Hewson I, 2009, LIMNOL OCEANOGR, V54, P1981, DOI 10.4319/lo.2009.54.6.1981
Hunt LR, 2012, MAR DRUGS, V10, P1225, DOI 10.3390/md10061225
Jeffries TC, 2012, BIOGEOSCIENCES, V9, P815, DOI 10.5194/bg-9-815-2012
Jeffries TC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025173
Jensen PR, 1996, MAR BIOL, V126, P1, DOI 10.1007/BF00571371
Kellogg CA, 2004, MAR ECOL PROG SER, V273, P81, DOI 10.3354/meps273081
Kimes NE, 2012, ISME J, V6, P835, DOI 10.1038/ismej.2011.154
Koh EGL, 1997, J CHEM ECOL, V23, P379, DOI 10.1023/B:JOEC.0000006366.58633.f4
Krediet CJ, 2013, ISME J, V7, P980, DOI 10.1038/ismej.2012.164
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
LEWIS JB, 1977, BIOL REV, V52, P305, DOI 10.1111/j.1469-185X.1977.tb00836.x
Littman R, 2011, ENV MICROBIOL REP, V3, P651, DOI 10.1111/j.1758-2229.2010.00234.x
Littman RA, 2009, FEMS MICROBIOL ECOL, V68, P152, DOI 10.1111/j.1574-6941.2009.00666.x
Mao-Jones J, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000345
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
MEIKLE P, 1988, MAR BIOL, V99, P187, DOI 10.1007/BF00391980
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Miller TR, 2004, APPL ENVIRON MICROB, V70, P4692, DOI 10.1128/AEM.70.8.4692-4701.2004
Mitchell JG, 1996, APPL ENVIRON MICROB, V62, P3716, DOI 10.1128/AEM.62.10.3716-3721.1996
MITCHELL JG, 1995, APPL ENVIRON MICROB, V61, P877, DOI 10.1128/AEM.61.3.877-882.1995
MORIARTY DJW, 1985, MAR BIOL, V85, P285, DOI 10.1007/BF00393249
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Nissimov J, 2009, FEMS MICROBIOL LETT, V292, P210, DOI 10.1111/j.1574-6968.2009.01490.x
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Parks DH, 2010, BIOINFORMATICS, V26, P715, DOI 10.1093/bioinformatics/btq041
Patten NL, 2008, CORAL REEFS, V27, P569, DOI 10.1007/s00338-008-0356-9
PAUL JH, 1986, MAR ECOL PROG SER, V33, P29, DOI 10.3354/meps033029
Pfister CA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010518
Polato NR, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028634
Poroyko V, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012459
Raina JB, 2009, APPL ENVIRON MICROB, V75, P3429
Raina JB, 2010, TRENDS MICROBIOL, V18, P101, DOI 10.1016/j.tim.2009.12.002
Rice SA, 2005, J BACTERIOL, V187, P3477, DOI 10.1128/JB.187.10.3477-3485.2005
Ritchie KB, 2006, MAR ECOL PROG SER, V322, P1, DOI 10.3354/meps322001
Rivals I, 2007, BIOINFORMATICS, V23, P401, DOI 10.1093/bioinformatics/btl633
Rohwer F, 2001, CORAL REEFS, V20, P85
Rohwer F, 2002, MAR ECOL PROG SER, V243, P1, DOI 10.3354/meps243001
Rosenberg E, 2007, NAT REV MICROBIOL, V5, P355, DOI 10.1038/nrmicro1635
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salasia S IO., 2008, Journ of coast develop, V11, P113
Sato Y, 2010, ISME J, V4, P203, DOI 10.1038/ismej.2009.103
Sato Y, 2009, P R SOC B, V276, P2795, DOI 10.1098/rspb.2009.0481
Seymour JR, 2005, MAR ECOL PROG SER, V288, P1, DOI 10.3354/meps288001
Seymour JR, 2012, ENV MICROBIOL REP, V4, P548, DOI 10.1111/j.1758-2229.2012.00362.x
Sharp KH, 2012, ISME J, V6, P790, DOI 10.1038/ismej.2011.144
Shi YM, 2012, ENVIRON MICROBIOL, V14, P191, DOI 10.1111/j.1462-2920.2011.02598.x
Shnit-Orland M, 2009, FEMS MICROBIOL ECOL, V67, P371, DOI 10.1111/j.1574-6941.2008.00644.x
Siboni N, 2008, ENVIRON MICROBIOL, V10, P2979, DOI 10.1111/j.1462-2920.2008.01718.x
Smith RJ, 2012, ENVIRON MICROBIOL, V14, P240, DOI 10.1111/j.1462-2920.2011.02614.x
Sorokin J.I., 1971, Internationale Revue der gesamten Hydrobiologie und Hydrographie, V56, P1, DOI [10.1002/iroh.19710560102, DOI 10.1002/IROH.19710560102]
SOROKIN YI, 1973, NATURE, V242, P415, DOI 10.1038/242415a0
Stocker R, 2012, MICROBIOL MOL BIOL R, V76, P792, DOI 10.1128/MMBR.00029-12
Sweet MJ, 2011, CORAL REEFS, V30, P39, DOI 10.1007/s00338-010-0695-1
Sweet MJ, 2010, AQUAT MICROB ECOL, V61, P1, DOI 10.3354/ame01433
Tait K, 2010, ENV MICROBIOL REP, V2, P145, DOI 10.1111/j.1758-2229.2009.00122.x
Taylor MW, 2004, APPL ENVIRON MICROB, V70, P4387, DOI 10.1128/AEM.70.7.4387-4389.2004
Thurber RLV, 2011, J EXP MAR BIOL ECOL, V408, P102, DOI 10.1016/j.jembe.2011.07.030
Thurber RV, 2009, ENVIRON MICROBIOL, V11, P2148, DOI 10.1111/j.1462-2920.2009.01935.x
Ushijima B, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046717
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
VONHOLT C, 1968, COMP BIOCHEM PHYSIOL, V24, P83, DOI 10.1016/0010-406X(68)90960-2
WAHL M, 1995, J EXP MAR BIOL ECOL, V191, P239, DOI 10.1016/0022-0981(95)00018-M
Webster NS, 2013, ENV MICROBIOL REP, V5, P243, DOI 10.1111/1758-2229.12006
Webster NS, 2012, ENVIRON MICROBIOL, V14, P335, DOI 10.1111/j.1462-2920.2011.02460.x
Webster NS, 2010, ENVIRON MICROBIOL, V12, P2070, DOI 10.1111/j.1462-2920.2009.02065.x
Webster NS, 2001, APPL ENVIRON MICROB, V67, P434, DOI 10.1128/AEM.67.1.434-444.2001
Webster NS., 2007, Climate Change and the Great Barrier Reef, P97
Wegley L, 2004, MAR ECOL PROG SER, V273, P89, DOI 10.3354/meps273089
Wegley L, 2007, ENVIRON MICROBIOL, V9, P2707, DOI 10.1111/j.1462-2920.2007.01383.x
Wild C, 2005, MAR ECOL PROG SER, V287, P87, DOI 10.3354/meps287087
Wild C, 2004, MAR ECOL PROG SER, V267, P159, DOI 10.3354/meps267159
Wild C, 2004, NATURE, V428, P66, DOI 10.1038/nature02344
Wild C, 2010, AQUAT BIOL, V10, P41, DOI 10.3354/ab00269
Wilson B, 2012, FEMS MICROBIOL ECOL, V80, P509, DOI 10.1111/j.1574-6941.2012.01319.x
NR 104
TC 65
Z9 74
PD APR
PY 2014
VL 67
IS 3
BP 540
EP 552
DI 10.1007/s00248-013-0362-5
UT WOS:000333348900004
DA 2025-07-30
ER
PT J
AU Eiler, A
Hayakawa, DH
Rappé, MS
AF Eiler, Alexander
Hayakawa, Darin H.
Rappe, Michael S.
TI Non-random assembly of bacterioplankton communities in the subtropical
North Pacific Ocean
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB The exploration of bacterial diversity in the global ocean has revealed new taxa and previously unrecognized metabolic potential; however, our understanding of what regulates this diversity is limited. Using terminal restriction fragment length polymorphism (T-RFLP) data from bacterial small-subunit ribosomal RNA genes we show that, independent of depth and time, a large fraction of bacterioplankton co-occurrence patterns are non-random in the oligotrophic North Pacific subtropical gyre (NPSG). Pair-wise correlations of all identified operational taxonomic units (OTUs) revealed a high degree of significance, with 6.6% of the pair-wise co-occurrences being negatively correlated and 20.7% of them being positive. The most abundant OTUs, putatively identified as Prochlorococcus, SAR11, and SAR116 bacteria, were among the most correlated OTUs. As expected, bacterial community composition lacked statistically significant patterns of seasonality in the mostly stratified water column except in a few depth horizons of the sunlit surface waters, with higher frequency variations in community structure apparently related to populations associated with the deep chlorophyll maximum. Communities were structured vertically into epipelagic, mesopelagic, and bathypelagic populations. Permutation-based statistical analyses of T-RFLP data and their corresponding metadata revealed a broad range of putative environmental drivers controlling bacterioplankton community composition in the NPSG, including concentrations of inorganic nutrients and phytoplankton pigments. Together, our results suggest that deterministic forces such as environmental filtering and interactions among taxa determine bacterioplankton community patterns, and consequently affect ecosystem functions in the NPSG.
C1 [Eiler, Alexander; Hayakawa, Darin H.; Rappe, Michael S.] Univ Hawaii, Sch Ocean & Earth Sci & Technol, Hawaii Inst Marine Biol, Kaneohe, HI USA.
[Eiler, Alexander] Uppsala Univ, Dept Ecol & Genet, Uppsala, Sweden.
[Hayakawa, Darin H.] Univ Hawaii, Dept Microbiol, Honolulu, HI 96822 USA.
RP Eiler, A (corresponding author), Dept Ecol & Genet, Norbyvagen 18D, SE-75236 Uppsala, Sweden.
EM alexander.eiler@ebc.uu.se
CR [Anonymous], ECOLOGICAL ASSEMBLY
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHO BC, 1988, NATURE, V332, P441, DOI 10.1038/332441a0
Church MJ, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003418
Church MJ, 2005, APPL ENVIRON MICROB, V71, P5362, DOI 10.1128/AEM.71.9.5362-5370.2005
Clarke K., 2001, Change in Marine Communities, V2
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
CRACRAFT J, 1988, SYST ZOOL, V37, P221, DOI 10.2307/2992369
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Diamond J.M., 1975, P342
Dore JE, 1996, DEEP-SEA RES PT II, V43, P385, DOI 10.1016/0967-0645(95)00105-0
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Gotelli NJ, 2002, ECOLOGY, V83, P2091, DOI 10.2307/3072040
Gotelli NJ, 2001, GLOBAL ECOL BIOGEOGR, V10, P337, DOI 10.1046/j.1466-822X.2001.00249.x
Green J, 2006, TRENDS ECOL EVOL, V21, P501, DOI 10.1016/j.tree.2006.06.012
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Herndl GJ, 2008, AQUAT MICROB ECOL, V53, P59, DOI 10.3354/ame01225
Hewson I, 2006, MAR ECOL PROG SER, V311, P67, DOI 10.3354/meps311067
Horner-Devine MC, 2007, ECOLOGY, V88, P1345, DOI 10.1890/06-0286
Horner-Devine MC, 2004, P ROY SOC B-BIOL SCI, V271, P113, DOI 10.1098/rspb.2003.2549
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karl DM, 1999, ECOSYSTEMS, V2, P181, DOI 10.1007/s100219900068
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Karl DM, 2001, DEEP-SEA RES PT II, V48, P1529, DOI 10.1016/S0967-0645(00)00152-1
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Letelier RM, 1996, DEEP-SEA RES PT II, V43, P467, DOI 10.1016/0967-0645(96)00006-9
Little AEF, 2008, ANNU REV MICROBIOL, V62, P375, DOI 10.1146/annurev.micro.030608.101423
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McCune B., 2002, Analysis of Ecological Communities
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Osborne CA, 2006, APPL ENVIRON MICROB, V72, P1270, DOI 10.1128/AEM.72.2.1270-1278.2006
Paerl HW, 1996, MICROB ECOL, V31, P225
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Prosser JI, 2007, NAT REV MICROBIOL, V5, P384, DOI 10.1038/nrmicro1643
ROUGHGARDEN J, 1983, AM NAT, V122, P583, DOI 10.1086/284160
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Torsvik V, 2002, SCIENCE, V296, P1064, DOI 10.1126/science.1071698
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Vuilleumier F., 1980, Evolutionary Biology (New York), V12, P235
Wittebolle L, 2009, NATURE, V458, P623, DOI 10.1038/nature07840
NR 53
TC 36
Z9 45
PY 2011
VL 2
AR 140
DI 10.3389/fmicb.2011.00140
UT WOS:000208863500150
DA 2025-07-30
ER
PT J
AU Li, B
Liang, J
Baniasadi, HR
Phillips, MA
Michael, AJ
AF Li, Bin
Liang, Jue
Baniasadi, Hamid R.
Phillips, Margaret A.
Michael, Anthony J.
TI Functional polyamine metabolic enzymes and pathways encoded by the
virosphere
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Viruses produce more viruses by manipulating the metabolic and replication systems of their host cells. Many have acquired metabolic genes from ancestral hosts and use the encoded enzymes to subvert host metabolism. The polyamine spermidine is required for bacteriophage and eukaryotic virus replication, and herein, we have identified and func-tionally characterized diverse phage-and virus-encoded polyamine metabolic enzymes and pathways. These include pyridoxal 5 '-phosphate (PLP)-dependent ornithine decarboxylase (ODC), pyruvoyl-dependent ODC and arginine decarboxylase (ADC), arginase, S-adenosylmethionine decarboxylase (AdoMetDC/speD), spermidine synthase, homospermidine synthase, spermidine N-acetyltransferase, and N-acetylspermidine amidohydrolase. We identified homologs of the spermidine-modified translation fac-tor eIF5a encoded by giant viruses of the Imitervirales. Although AdoMetDC/speD is prevalent among marine phages, some homologs have lost AdoMetDC activity and have evolved into pyruvoyl-dependent ADC or ODC. The pelagiphages that encode the pyruvoyl-dependent ADCs infect the abundant ocean bacterium Candidatus Pelagibacter ubique, which we have found encodes a PLP-dependent ODC homolog that has evolved into an ADC, indicating that infected cells would contain both PLP-and pyruvoyl-dependent ADCs. Complete or partial spermidine or homospermidine biosynthetic pathways are found encoded in the giant viruses of the Algavirales and Imitervirales, and in addition, some viruses of the Imitervirales can release spermidine from the inactive N-acetylspermidine. In contrast, diverse phages encode spermidine N-acetyltransferase that can sequester spermidine into its inactive N-acetyl form. Together, the virome-en-coded enzymes and pathways for biosynthesis and release or biochemical sequestration of spermidine or its structural analog homospermidine consolidate and expand evidence supporting an important and global role of spermidine in virus biology.
C1 [Li, Bin; Liang, Jue; Baniasadi, Hamid R.; Phillips, Margaret A.; Michael, Anthony J.] Univ Texas Southwestern Med Ctr, Dept Biochem, Dallas, TX 75214 USA.
RP Michael, AJ (corresponding author), Univ Texas Southwestern Med Ctr, Dept Biochem, Dallas, TX 75214 USA.
EM anthony.michael@utsouthwestern.edu
CR Abrahao J, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03168-1
Aylward F, 2021, PLOS BIOL, V19, DOI 10.1371/journal.pbio.3001430
Bale S, 2010, AMINO ACIDS, V38, P451, DOI 10.1007/s00726-009-0404-y
Baumann S, 2007, VIROLOGY, V360, P209, DOI 10.1016/j.virol.2006.10.010
Brenciani A, 2010, ANTIMICROB AGENTS CH, V54, P221, DOI 10.1128/AAC.00499-09
Burnat M, 2018, MOL MICROBIOL, V109, P763, DOI 10.1111/mmi.14006
Casero RA, 2009, BIOCHEM J, V421, P323, DOI 10.1042/BJ20090598
Charlop-Powers Z, 2012, J BIOL CHEM, V287, P9547, DOI 10.1074/jbc.C111.337816
Chopin A, 2001, NUCLEIC ACIDS RES, V29, P644, DOI 10.1093/nar/29.3.644
DELLARAGIONE F, 1983, BIOCHEM J, V213, P701, DOI 10.1042/bj2130701
Dever TE, 2018, J BIOL CHEM, V293, P18719, DOI 10.1074/jbc.TM118.003338
DION AS, 1972, J VIROL, V9, P423, DOI 10.1128/JVI.9.3.423-430.1972
Dömötör D, 2012, J VIROL, V86, P10899, DOI 10.1128/JVI.01870-12
Fiches GN, 2022, PLOS PATHOG, V18, DOI 10.1371/journal.ppat.1010503
Firpo MR, 2020, BIOMOLECULES, V10, DOI 10.3390/biom10040628
FUKUCHI J, 1994, J BIOL CHEM, V269, P22581
Garbe J, 2011, BMC MICROBIOL, V11, DOI 10.1186/1471-2180-11-102
Giles TN, 2008, J BIOL CHEM, V283, P25829, DOI 10.1074/jbc.M802674200
Graham DE, 2002, J BIOL CHEM, V277, P23500, DOI 10.1074/jbc.M203467200
HAFNER EW, 1979, J BIOL CHEM, V254, P2419
Hai Y, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15368
Kaiser A, 1999, VIROLOGY, V263, P254, DOI 10.1006/viro.1999.9972
Kavagutti VS, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0752-0
Keller C, 2019, FEMS MICROBIOL LETT, V366, DOI 10.1093/femsle/fnz110
Kieft K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23698-5
Krämer A, 2016, BMC BIOCHEM, V17, DOI 10.1186/s12858-016-0063-z
Krossa S, 2016, SCI REP-UK, V6, DOI 10.1038/srep19501
Li B, 2021, J BIOL CHEM, V296, DOI 10.1074/jbc.RA120.016738
Li B, 2019, MOL MICROBIOL, V111, P159, DOI 10.1111/mmi.14145
Li B, 2015, MOL MICROBIOL, V97, P791, DOI 10.1111/mmi.13066
Mayer MJ, 2003, J BIOCHEM, V134, P765, DOI 10.1093/jb/mvg205
Michael AJ, 2016, BIOCHEM J, V473, P2315, DOI 10.1042/BCJ20160185
Michael AJ, 2016, J BIOL CHEM, V291, P14896, DOI 10.1074/jbc.R116.734780
MIYAMOTO S, 1993, ARCH BIOCHEM BIOPHYS, V300, P63, DOI 10.1006/abbi.1993.1009
Moniruzzaman M, 2020, NATURE, V588, P141, DOI 10.1038/s41586-020-2924-2
Moniruzzaman M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15507-2
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mounce BC, 2017, MICROBIOL MOL BIOL R, V81, DOI 10.1128/MMBR.00029-17
Mounce BC, 2016, CELL HOST MICROBE, V20, P167, DOI 10.1016/j.chom.2016.06.011
Nagasaki K, 2005, APPL ENVIRON MICROB, V71, P3599, DOI 10.1128/AEM.71.7.3599-3607.2005
Ogura Y., 2016, GENOME ANNOUNCEMENTS, V4, P6
Olsen ME, 2017, DNA CELL BIOL, V36, P198, DOI 10.1089/dna.2016.3611
Omelchenko MV, 2010, BIOL DIRECT, V5, DOI 10.1186/1745-6150-5-31
Osko JD, 2019, BIOCHEMISTRY-US, V58, P3755, DOI 10.1021/acs.biochem.9b00582
OUZOUNIS CA, 1994, J MOL EVOL, V39, P101
Park JH, 2003, J BIOL CHEM, V278, P32683, DOI 10.1074/jbc.M304247200
Park MH, 2018, J BIOL CHEM, V293, P18710, DOI 10.1074/jbc.TM118.003341
Pegg AE, 2009, ESSAYS BIOCHEM, V46, P25, DOI [10.1042/BSE0460003, 10.1042/bse0460003]
PINGOUD A, 1985, EUR J BIOCHEM, V147, P105, DOI 10.1111/j.1432-1033.1985.tb08725.x
Plateau P, 2019, J BIOL CHEM, V294, P11311, DOI 10.1074/jbc.RA119.007619
Rodrigues RAL, 2020, ARCH VIROL, V165, P1267, DOI 10.1007/s00705-020-04626-2
Sakurada K, 1996, J BACTERIOL, V178, P5781, DOI 10.1128/jb.178.19.5781-5786.1996
Shah R, 2004, J BIOL CHEM, V279, P35760, DOI 10.1074/jbc.M405366200
Shaw FL, 2010, J BIOL CHEM, V285, P14711, DOI 10.1074/jbc.M110.107219
Shukla OP, 1996, PARASITOL RES, V82, P270, DOI 10.1007/s004360050110
Tholl D, 1996, EUR J BIOCHEM, V240, P373, DOI 10.1111/j.1432-1033.1996.0373h.x
Wagemans J, 2014, CELL MICROBIOL, V16, P1822, DOI 10.1111/cmi.12330
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
Weiss MC, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.116, 10.1038/nmicrobiol.2016.116]
Winther KS, 2021, J MOL BIOL, V433, DOI 10.1016/j.jmb.2021.167073
Wittmers F, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.01522-21
Woolridge DP, 1999, BIOCHEM J, V340, P753, DOI 10.1042/0264-6021:3400753
Xu S., 2020, J VIROL, V94, P11
Yamada T, 2010, VIROLOGY, V398, P135, DOI 10.1016/j.virol.2009.11.043
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
NR 65
TC 28
Z9 29
PD FEB 28
PY 2023
VL 120
IS 9
AR e2214165120
DI 10.1073/pnas.2214165120
UT WOS:000943142000003
DA 2025-07-30
ER
PT J
AU Våge, S
Storesund, JE
Giske, J
Thingstad, TF
AF Vage, Selina
Storesund, Julia E.
Giske, Jarl
Thingstad, T. Frede
TI Optimal Defense Strategies in an Idealized Microbial Food Web under
Trade-Off between Competition and Defense
SO PLOS ONE
DT Article
AB Trophic mechanisms that can generate biodiversity in food webs include bottom-up (growth rate regulating) and top-down (biomass regulating) factors. The top-down control has traditionally been analyzed using the concepts of "Keystone Predation'' (KP) and "Killing-the-Winner'' (KtW), predominately occuring in discussions of macro- and micro-biological ecology, respectively. Here we combine the classical diamond-shaped food web structure frequently discussed in KP analyses and the KtW concept by introducing a defense strategist capable of partial defense. A formalized description of a trade-off between the defense-strategist's competitive and defensive ability is included. The analysis reveals a complex topology of the steady state solution with strong relationships between food web structure and the combination of trade-off, defense strategy and the system's nutrient content. Among the results is a difference in defense strategies corresponding to maximum biomass, production, or net growth rate of invading individuals. The analysis thus summons awareness that biomass or production, parameters typically measured in field studies to infer success of particular biota, are not directly acted upon by natural selection. Under coexistence with a competition specialist, a balance of competitive and defensive ability of the defense strategist was found to be evolutionarily stable, whereas stronger defense was optimal under increased nutrient levels in the absence of the pure competition specialist. The findings of success of different defense strategies are discussed with respect to SAR11, a highly successful bacterial clade in the pelagic ocean.
C1 [Vage, Selina; Storesund, Julia E.; Giske, Jarl; Thingstad, T. Frede] Univ Bergen, Dept Biol, Hjort Ctr Marine Ecosyst Dynam, Bergen, Norway.
RP Våge, S (corresponding author), Univ Bergen, Dept Biol, Hjort Ctr Marine Ecosyst Dynam, Bergen, Norway.
EM Selina.Vage@bio.uib.no
CR Abrams PA, 2002, AM NAT, V160, P692, DOI 10.1086/342822
AKSNES DL, 1993, ECOL MODEL, V67, P233, DOI 10.1016/0304-3800(93)90007-F
[Anonymous], PRIMARY PRODUCTIVITY
Aránguiz-Acuña A, 2011, J PLANKTON RES, V33, P469, DOI 10.1093/plankt/fbq134
ARMSTRONG RA, 1994, LIMNOL OCEANOGR, V39, P597, DOI 10.4319/lo.1994.39.3.0597
Barrangou R, 2007, SCIENCE, V315, P1709, DOI 10.1126/science.1138140
Barton AD, 2010, SCIENCE, V327, P1509, DOI 10.1126/science.1184961
Becker S, 2012, FEMS MICROBIOL ECOL, V80, P488, DOI 10.1111/j.1574-6941.2012.01316.x
Bohannan BJM, 2000, AM NAT, V156, P329, DOI 10.1086/303393
Boots M, 1999, AM NAT, V153, P359, DOI 10.1086/303181
Boots M, 2011, AM NAT, V178, P214, DOI 10.1086/660833
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Bowers RG, 2001, J THEOR BIOL, V212, P315, DOI 10.1006/jtbi.2001.2378
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Ducklow HW, 1999, FEMS MICROBIOL ECOL, V30, P1, DOI 10.1111/j.1574-6941.1999.tb00630.x
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Erken M, 2011, FEMS MICROBIOL ECOL, V76, P504, DOI 10.1111/j.1574-6941.2011.01067.x
Ersel H, 2004, DEFENCE PEACE ECON, V15, P133, DOI 10.1080/1024269032000110513
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Fiksen O, 2011, MAR ECOL PROG SER, V432, P207, DOI 10.3354/meps09148
Fisher R.A., 1958, GENETICAL THEORY NAT, DOI 10.1038/158453a0
Folkvord A, 2005, CAN J FISH AQUAT SCI, V62, P1037, DOI 10.1139/F05-008
Follows MJ, 2011, ANNU REV MAR SCI, V3, P427, DOI 10.1146/annurev-marine-120709-142848
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GISKE J, 1995, J THEOR BIOL, V173, P41, DOI 10.1016/S0022-5193(05)80003-7
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Grover JP, 1998, J THEOR BIOL, V191, P353, DOI 10.1006/jtbi.1997.0562
GROVER JP, 1995, AM NAT, V145, P746, DOI 10.1086/285766
Hahn MW, 1999, APPL ENVIRON MICROB, V65, P4863
HOLT RD, 1994, AM NAT, V144, P741, DOI 10.1086/285705
HUTCHINSON G, 1961, AM NAT, V95, P137, DOI 10.1086/282171
Irigoien X, 2004, NATURE, V429, P863, DOI 10.1038/nature02593
Joint I, 2008, ISME J, V2, P455, DOI 10.1038/ismej.2008.30
Kirchman DL, 2013, NATURE, V494, P320, DOI 10.1038/nature11951
Kraaijeveld AR, 1997, NATURE, V389, P278, DOI 10.1038/38483
KRETZSCHMAR M, 1993, THEOR POPUL BIOL, V44, P32, DOI 10.1006/tpbi.1993.1017
Labrie SJ, 2010, NAT REV MICROBIOL, V8, P317, DOI 10.1038/nrmicro2315
Leibold MA, 1996, AM NAT, V147, P784, DOI 10.1086/285879
LEVIN SA, 1970, AM NAT, V104, P413, DOI 10.1086/282676
Loeuille N, 2004, THEOR POPUL BIOL, V65, P285, DOI 10.1016/j.tpb.2003.12.004
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Matz C, 2003, MICROB ECOL, V45, P384, DOI 10.1007/s00248-003-2000-0
MCCAULEY E, 1979, LIMNOL OCEANOGR, V24, P243, DOI 10.4319/lo.1979.24.2.0243
Michod RE, 2005, BIOL PHILOS, V20, P967, DOI 10.1007/s10539-005-9018-2
Michod RE, 2006, J THEOR BIOL, V239, P257, DOI 10.1016/j.jtbi.2005.08.043
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
PAINE RT, 1966, AM NAT, V100, P65, DOI 10.1086/282400
PENGERUD B, 1987, MAR ECOL PROG SER, V35, P111, DOI 10.3354/meps035111
Pennisi E, 2013, SCIENCE, V342, P790, DOI 10.1126/science.342.6160.790
Poulin FJ, 2010, J PLANKTON RES, V32, P1121, DOI 10.1093/plankt/fbp145
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
REYNOLDS CS, 1993, HYDROBIOLOGIA, V249, P183, DOI 10.1007/BF00008853
Rivkin RB, 1997, LIMNOL OCEANOGR, V42, P730, DOI 10.4319/lo.1997.42.4.0730
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
SHERR BF, 1992, APPL ENVIRON MICROB, V58, P2381, DOI 10.1128/AEM.58.8.2381-2385.1992
Siemens DH, 2003, EVOL ECOL, V17, P247, DOI 10.1023/A:1025517229934
Steiner CF, 2003, OIKOS, V101, P569, DOI 10.1034/j.1600-0706.2003.12309.x
SUTHERS IM, 1993, ICES J MAR SCI, V50, P261, DOI 10.1006/jmsc.1993.1028
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 1996, ECOLOGY, V77, P2108, DOI 10.2307/2265705
THINGSTAD TF, 1985, MAR ECOL PROG SER, V21, P47, DOI 10.3354/meps021047
Thingstad TF, 2005, ECOL LETT, V8, P675, DOI 10.1111/j.1461-0248.2005.00768.x
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Våge S, 2013, ENVIRON MICROBIOL, V15, P1842, DOI 10.1111/1462-2920.12077
Van Donk E, 2011, HYDROBIOLOGIA, V668, P3, DOI 10.1007/s10750-010-0395-4
VANCE RR, 1978, AM NAT, V112, P797, DOI 10.1086/283324
Visser AW, 2009, J PLANKTON RES, V31, P121, DOI 10.1093/plankt/fbn109
Ward BA, 2012, LIMNOL OCEANOGR, V57, P1877, DOI 10.4319/lo.2012.57.6.1877
Ward BA, 2014, J PLANKTON RES, V36, P31, DOI 10.1093/plankt/fbt097
Weitz JS, 2005, P NATL ACAD SCI USA, V102, P9535, DOI 10.1073/pnas.0504062102
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Wiser MJ, 2013, SCIENCE, V342, P1364, DOI 10.1126/science.1243357
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhou YX, 2012, FEMS MICROBIOL ECOL, V81, P230, DOI 10.1111/j.1574-6941.2012.01371.x
Zohary T, 1998, LIMNOL OCEANOGR, V43, P387, DOI 10.4319/lo.1998.43.3.0387
NR 80
TC 32
Z9 35
PD JUL 7
PY 2014
VL 9
IS 7
AR e101415
DI 10.1371/journal.pone.0101415
UT WOS:000338637300041
DA 2025-07-30
ER
PT J
AU Li, JQ
Liu, XP
Xie, ND
Bai, MH
Liu, L
Sen, B
Wang, GY
AF Li, Jiaqian
Liu, Xiuping
Xie, Ningdong
Bai, Mohan
Liu, Lu
Sen, Biswarup
Wang, Guangyi
TI Subsurface Bacterioplankton Structure and Diversity in the
Strongly-Stratified Water Columns within the Equatorial Eastern Indian
Ocean
SO MICROORGANISMS
DT Article
AB The consequences of climate change may directly or indirectly impact the marine biosphere. Although ocean stratification has been recognized as one of the crucial consequences of ocean warming, its impacts on several critical aspects of marine microbes remain largely unknown in the Indian Ocean. Here, we investigate the effects of water stratification, in both surface and subsurface layers, on hydrogeographic parameters and bacterioplankton diversity within the equatorial eastern Indian Ocean (EIO). Strong stratification in the upper 200 m of equatorial EIO was detected with evidential low primary productivity. The vertical bacterioplankton diversity of the whole water columns displayed noticeable variation, with lower diversity occurring in the surface layer than in the subsurface layers. Horizontal heterogeneity of bacterioplankton communities was also in the well-mixed layer among different stations. SAR11 and Prochlorococcus displayed uncharacteristic low abundance in the surface water. Some amplicon sequence variants (ASVs) were identified as potential biomarkers for their specific depths in strongly-stratified water columns. Thus, barriers resulting from stratification are proposed to function as an 'ASV filter' to regulate the vertical bacterioplankton community diversity along the water columns. Overall, our results suggest that the effects of stratification on the structure and diversity of bacterioplankton can extend up to the bathypelagic zone in the strongly-stratified waters of the equatorial EIO. This study provides the first insight into the effect of stratification on the subsurface microbial communities in the equatorial eastern Indian Ocean.
C1 [Li, Jiaqian; Liu, Xiuping; Xie, Ningdong; Bai, Mohan; Liu, Lu; Sen, Biswarup; Wang, Guangyi] Tianjin Univ, Ctr Marine Environm Ecol, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China.
[Wang, Guangyi] Tianjin Univ, Key Lab Syst Bioengn, Minist Educ, Tianjin 300072, Peoples R China.
[Wang, Guangyi] Tianjin Univ, Ctr Biosafety Res & Strategy, Tianjin 300072, Peoples R China.
RP Sen, B; Wang, GY (corresponding author), Tianjin Univ, Ctr Marine Environm Ecol, Sch Environm Sci & Engn, Tianjin 300072, Peoples R China.; Wang, GY (corresponding author), Tianjin Univ, Key Lab Syst Bioengn, Minist Educ, Tianjin 300072, Peoples R China.; Wang, GY (corresponding author), Tianjin Univ, Ctr Biosafety Res & Strategy, Tianjin 300072, Peoples R China.
EM bsen@tju.edu.cn; gywang@tju.edu.cn
CR Abirami B, 2021, SCI TOTAL ENVIRON, V791, DOI 10.1016/j.scitotenv.2021.147905
Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Aparna AR, 2022, CLIM DYNAM, V58, P3297, DOI 10.1007/s00382-021-06099-8
Baltar F, 2009, LIMNOL OCEANOGR, V54, P182, DOI 10.4319/lo.2009.54.1.0182
Behrenfeld MJ, 2006, NATURE, V444, P752, DOI 10.1038/nature05317
Beisner BE, 2013, LIMNOL OCEANOGR, V58, P1419, DOI 10.4319/lo.2013.58.4.1419
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Bouman HA, 2011, ENV MICROBIOL REP, V3, P473, DOI 10.1111/j.1758-2229.2011.00241.x
Boyd PW, 2011, NAT GEOSCI, V4, P273, DOI 10.1038/ngeo1150
Boyd PW, 2010, LIMNOL OCEANOGR, V55, P1353, DOI 10.4319/lo.2010.55.3.1353
Boyd PW, 2002, J PHYCOL, V38, P844, DOI 10.1046/j.1529-8817.2002.t01-1-01203.x
Callahan BJ, 2017, ISME J, V11, P2639, DOI 10.1038/ismej.2017.119
Campbell L, 1998, DEEP-SEA RES PT II, V45, P2301, DOI 10.1016/S0967-0645(98)00072-1
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
Cheng WH, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00449
Chu P.C., 2010, P OCEANS 2010 MTSIEE, P1001, DOI [10.1109/oceans.2010.5663915, DOI 10.1109/OCEANS.2010.5663915]
Condie SA, 1997, J THEOR BIOL, V187, P65, DOI 10.1006/jtbi.1997.0417
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DEUSER WG, 1981, DEEP-SEA RES, V28, P495, DOI 10.1016/0198-0149(81)90140-0
DEUSER WG, 1986, DEEP-SEA RES, V33, P225, DOI 10.1016/0198-0149(86)90120-2
Dhame S, 2020, CLIM DYNAM, V55, P2053, DOI 10.1007/s00382-020-05369-1
Ding CL, 2021, BIOLOGY-BASEL, V10, DOI 10.3390/biology10030248
Dixon P, 2003, J VEG SCI, V14, P927, DOI 10.1658/1100-9233(2003)014[0927:VAPORF]2.0.CO;2
Doney SC, 2006, NATURE, V444, P695, DOI 10.1038/444695a
Doney SC, 2010, SCIENCE, V328, P1512, DOI 10.1126/science.1185198
Du Y, 2015, SCI REP-UK, V5, DOI 10.1038/srep16050
FEE EJ, 1994, CAN J FISH AQUAT SCI, V51, P2756, DOI 10.1139/f94-276
Francois R, 1997, NATURE, V389, P929, DOI 10.1038/40073
Frank AH, 2016, ENVIRON MICROBIOL, V18, P2052, DOI 10.1111/1462-2920.13237
Fu WW, 2016, BIOGEOSCIENCES, V13, P5151, DOI 10.5194/bg-13-5151-2016
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Goes JI, 2005, SCIENCE, V308, P545, DOI 10.1126/science.1106610
Gregg WW, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021808
He YD, 2017, MAR POLLUT BULL, V124, P411, DOI 10.1016/j.marpolbul.2017.07.062
Huisman J, 2004, ECOLOGY, V85, P2960, DOI 10.1890/03-0763
Irion S, 2021, ISME J, V15, P2509, DOI 10.1038/s41396-021-00915-z
[姜春飞 Jiang Chunfei], 2014, [海洋科学进展, Advances in Marine Science], V32, P437
Keeling RF, 2010, ANNU REV MAR SCI, V2, P199, DOI 10.1146/annurev.marine.010908.163855
Laffoley D., 2016, Explaining ocean warming: Causes, scale, effects and consequences
Lai Jiangshan, 2013, Biodiversity Science, V21, P765, DOI 10.3724/SP.J.1003.2013.04133
Li GC, 2020, NAT CLIM CHANGE, V10, P1116, DOI 10.1038/s41558-020-00918-2
Liu XP, 2021, SCI TOTAL ENVIRON, V795, DOI 10.1016/j.scitotenv.2021.148892
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Mandal Siddhartha, 2015, Microbial Ecology in Health and Disease, V26, P27663, DOI 10.3402/mehd.v26.27663
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
Matear RJ, 2000, GEOCHEM GEOPHY GEOSY, V1, DOI 10.1029/2000GC000086
Mestre M, 2018, P NATL ACAD SCI USA, V115, pE6799, DOI 10.1073/pnas.1802470115
Miki T, 2008, MAR ECOL PROG SER, V366, P1, DOI 10.3354/meps07597
Qian PY, 2011, ISME J, V5, P568, DOI 10.1038/ismej.2010.159
Qiu Xiao-Peng, 2016, China Environmental Science, V36, P1547
Roxy MK, 2016, GEOPHYS RES LETT, V43, P826, DOI 10.1002/2015GL066979
Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855
Sarmiento JL, 1998, NATURE, V393, P245, DOI 10.1038/30455
Shi JR, 2018, J CLIMATE, V31, P7459, DOI 10.1175/JCLI-D-18-0170.1
Sigman DM, 2004, NATURE, V428, P59, DOI 10.1038/nature02357
SPRINTALL J, 1992, J GEOPHYS RES-OCEANS, V97, P7305, DOI 10.1029/92JC00407
Steiner PA, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.584222
Thompson RM, 2005, OIKOS, V108, P137, DOI 10.1111/j.0030-1299.2005.11600.x
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Wittebolle L, 2009, NATURE, V458, P623, DOI 10.1038/nature07840
Yang X, 2015, WATER-SUI, V7, P5525, DOI 10.3390/w7105525
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Yu Z, 2014, SCI REP-UK, V4, DOI 10.1038/srep05821
Zhao F, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02559
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
Zinser ER, 2007, LIMNOL OCEANOGR, V52, P2205, DOI 10.4319/lo.2007.52.5.2205
NR 72
TC 6
Z9 6
PD MAR
PY 2023
VL 11
IS 3
AR 592
DI 10.3390/microorganisms11030592
UT WOS:000958461100001
DA 2025-07-30
ER
PT J
AU Zehnpfennig, JR
Hansel, CM
Wankel, SD
Sheik, CS
Horton, DJ
Lamborg, CH
Learman, DR
AF Zehnpfennig, Jessica R.
Hansel, Colleen M.
Wankel, Scott D.
Sheik, Cody S.
Horton, Dean J.
Lamborg, Carl H.
Learman, Deric R.
TI Diel Patterns in Marine Microbial Metatranscriptomes Reflect Differences
in Community Metabolic Activity Over Depth on the Continental Shelf of
the North Atlantic
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Microbial community dynamics are influenced not only by biological but also physical and chemical phenomena (e.g., temperature, sunlight, pH, wave energy) that vary on both short and long-time scales. In this study, samples of continental shelf waters of the northwest Atlantic Ocean were periodically collected from pre-sunrise to post-sunset and at multiple depths over summers of 2016 and 2017. Metatranscriptomic analyses revealed expression of photosynthetic genes in surface water samples corresponding to a diel relationship with sunlight. Photosynthetic genes originated from known phototrophs including Aureococcus, Ostreococcous, Synechocococus, and Prochlorococcus. Photosynthetic gene expression occurred pre-sunrise, suggesting the community initiates transcription before sunlight exposure, ostensibly to harvest energy more efficiently when the anticipated increase in light occurs. Transcripts from photoheterotrophic members of the SAR11 clade were also documented in surface samples, with rhodopsin expression being more abundant pre-sunrise and post-sunrise. Conversely, samples taken from the aphotic layer exhibited expression of transcripts related to nitrification that did not vary over the diel cycle. Nitrification gene transcripts, specifically amoA, nirK, hao, and norAB, were taxonomically related to well-known genera of ammonia oxidizers, such as Nitrospira, Candidatus Nitrosomarinus, Nitrosospira, and Nitrosopumilus. Overall, this study documents the role of light (varying with time and depth) in shaping the photosynthetic microbial community activity in the surface ocean, and further demonstrates that this diel regulation of photosynthesis is decoupled from the activity of the nitrifying microbial community in deeper and darker waters.
C1 [Zehnpfennig, Jessica R.; Horton, Dean J.; Learman, Deric R.] Cent Michigan Univ, Dept Biol, Inst Great Lakes Res, Mt Pleasant, MI 48859 USA.
[Hansel, Colleen M.; Wankel, Scott D.] Woods Hole Oceanog Inst Woods Hole, Dept Marine Chem & Geochem, Woods Hole, MA USA.
[Sheik, Cody S.] Univ Minnesota Duluth, Dept Biol, Large Lakes Observ, Duluth, MN USA.
[Lamborg, Carl H.] Univ Calif Santa Cruz, Ocean Sci Dept, Santa Cruz, CA 95064 USA.
RP Learman, DR (corresponding author), Cent Michigan Univ, Dept Biol, Inst Great Lakes Res, Mt Pleasant, MI 48859 USA.
EM deric.learman@cmich.edu
CR Ahlgren NA, 2019, ISME J, V13, P618, DOI 10.1038/s41396-018-0289-4
Aylward FO, 2017, P NATL ACAD SCI USA, V114, P11446, DOI 10.1073/pnas.1714821114
Aylward FO, 2015, P NATL ACAD SCI USA, V112, P5443, DOI 10.1073/pnas.1502883112
Barton AD, 2013, ECOL LETT, V16, P522, DOI 10.1111/ele.12063
Bebout B.M., 1994, MICROBIAL MATS, P265, DOI DOI 10.1007/978-3-642-78991-5_27
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
BRAMAN RS, 1989, ANAL CHEM, V61, P2715, DOI 10.1021/ac00199a007
Brandes JA, 2007, CHEM REV, V107, P577, DOI 10.1021/cr050377t
Bushmanova E, 2019, GIGASCIENCE, V8, DOI 10.1093/gigascience/giz100
Canfield DE, 2010, SCIENCE, V330, P192, DOI 10.1126/science.1186120
COCHLAN WP, 1991, LIMNOL OCEANOGR, V36, P1689, DOI 10.4319/lo.1991.36.8.1689
Crusoe Michael R, 2015, F1000Res, V4, P900, DOI 10.12688/f1000research.6924.1
Devol AH, 2015, ANNU REV MAR SCI, V7, P403, DOI 10.1146/annurev-marine-010213-135040
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Gilbert JA, 2010, STAND GENOMIC SCI, V3, P183, DOI 10.4056/sigs.1202536
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Herber J, 2020, ENVIRON MICROBIOL, V22, P212, DOI 10.1111/1462-2920.14840
Hewson I, 2010, ENVIRON MICROBIOL, V12, P1940, DOI 10.1111/j.1462-2920.2010.02198.x
Hollibaugh JT, 2002, APPL ENVIRON MICROB, V68, P1478, DOI 10.1128/AEM.68.3.1478-1484.2002
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Ji NJ, 2018, ENVIRON MICROBIOL, V20, P1078, DOI 10.1111/1462-2920.14045
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Klotz MG, 2006, APPL ENVIRON MICROB, V72, P6299, DOI 10.1128/AEM.00463-06
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Kozlowski JA, 2014, APPL ENVIRON MICROB, V80, P4930, DOI 10.1128/AEM.01061-14
Lehtovirta-Morley LE, 2018, FEMS MICROBIOL LETT, V365, DOI 10.1093/femsle/fny058
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Mikheenko A, 2016, BIOINFORMATICS, V32, P1088, DOI 10.1093/bioinformatics/btv697
Mukherjee S, 2019, NUCLEIC ACIDS RES, V47, pD649, DOI 10.1093/nar/gky977
Neutze R, 2002, BBA-BIOMEMBRANES, V1565, P144, DOI 10.1016/S0005-2736(02)00566-7
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Pai SC, 2021, ACS EST WATER, V1, P1524, DOI 10.1021/acsestwater.1c00065
Parsons J.D.H., 1972, PRACTICAL HDB SEAWAT
Patro R, 2017, NAT METHODS, V14, P417, DOI 10.1038/nmeth.4197
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Poret-Peterson AT, 2008, ISME J, V2, P1213, DOI 10.1038/ismej.2008.71
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Prosser J.I., 2014, PROKARYOTES, P901
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Santoro AE, 2008, ENVIRON MICROBIOL, V10, P1068, DOI 10.1111/j.1462-2920.2007.01547.x
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Straka LL, 2019, ISME J, V13, P1997, DOI 10.1038/s41396-019-0408-x
Vislova A, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02191
Ward BB, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P199, DOI 10.1016/B978-0-12-372522-6.00005-0
WHEELER PA, 1990, LIMNOL OCEANOGR, V35, P1267, DOI 10.4319/lo.1990.35.6.1267
Wijma HJ, 2004, BIOCHEMISTRY-US, V43, P10467, DOI 10.1021/bi0496687
Wilson ST, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.118
Wu JY, 2013, MAR DRUGS, V11, P3777, DOI 10.3390/md11103777
Zehr JP, 2002, APPL ENVIRON MICROB, V68, P1015, DOI 10.1128/AEM.68.3.1015-1024.2002
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
NR 53
TC 3
Z9 3
PD FEB 3
PY 2022
VL 9
AR 798877
DI 10.3389/fmars.2022.798877
UT WOS:000759935200001
DA 2025-07-30
ER
PT J
AU Apprill, A
Holm, H
Santoro, AE
Becker, C
Neave, M
Hughen, K
Doná, AR
Aeby, G
Work, T
Weber, L
McNally, S
AF Apprill, Amy
Holm, Henry
Santoro, Alyson E.
Becker, Cynthia
Neave, Matthew
Hughen, Konrad
Dona, Angela Richards
Aeby, Greta
Work, Thierry
Weber, Laura
McNally, Sean
TI Microbial ecology of coral-dominated reefs in the Federated States of
Micronesia
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Microorganisms are central to the functioning of coral reef ecosystems, but their dynamics are unstudied on most reefs. We examined the microbial ecology of shallow reefs within the Federated States of Micronesia. We surveyed 20 reefs surrounding 7 islands and atolls (Yap, Woleai, Olimarao, Kosrae, Kapingamarangi, Nukuoro, and Pohnpei), spanning 875 053 km(2). On the reefs, we found consistently higher coral coverage (mean +/- SD = 36.9 +/- 22.2%; max 77 %) compared to macroalgae coverage (15.2 +/- 15.5 %; max 58 %), and low abundances of fish. Reef waters had low inorganic nutrient concentrations and were dominated by Synechococcus, Prochiorococcus, and SAR11 bacteria. The richness of bacterial and archaeal communities was significantly related to interactions between island/atoll and depth. High coral coverage on reefs was linked to higher relative abundances of Flavobacteriaceae, Leisingera, Owenweeksia, Vibrio, and the OM27 clade, as well as other heterotrophic bacterial groups, consistent with communities residing in waters near corals and within coral mucus. Microbial community structure at reef depth was significantly correlated with geographic distance, suggesting that island biogeography influences reef microbial communities. Reefs at Kosrae Island, which hosted the highest coral abundance and diversity, were unique compared to other locations; seawater from Kosrae reefs had the lowest organic carbon (59.8-67.9 mu M), highest organic nitrogen (4.5-5.3 mu M), and harbored consistent microbial communities (>85% similar), which were dominated by heterotrophic cells. This study suggests that the reef-water microbial ecology on Micronesian reefs is influenced by the density and diversity of corals as well as other biogeographical features.
C1 [Apprill, Amy; Holm, Henry; Becker, Cynthia; Neave, Matthew; Hughen, Konrad; Weber, Laura; McNally, Sean] Woods Hole Oceanog Inst, Marine Chem & Geochem Dept, Woods Hole, MA 02543 USA.
[Holm, Henry; Becker, Cynthia] MIT WHOI Joint Program Oceanog Appl Ocean Sci & E, Cambridge, MA 02139 USA.
[Santoro, Alyson E.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Dona, Angela Richards; Aeby, Greta] Univ Hawaii, Honolulu, HI 96822 USA.
[Work, Thierry] US Geol Survey, Natl Wildlife Hlth Ctr, Honolulu Field Stn, Honolulu, HI 96850 USA.
[Neave, Matthew] CSIRO, Australian Anim Hlth Lab, Geelong, Vic 3219, Australia.
[Weber, Laura; McNally, Sean] Univ Massachusetts, Sch Environm, Boston, MA 02125 USA.
RP Apprill, A (corresponding author), Woods Hole Oceanog Inst, Marine Chem & Geochem Dept, Woods Hole, MA 02543 USA.
EM aapprill@whoi.edu
CR Anderson MJ, 2013, ECOL MONOGR, V83, P557, DOI 10.1890/12-2010.1
Anderson MJ, 2006, BIOMETRICS, V62, P245, DOI 10.1111/j.1541-0420.2005.00440.x
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
[Anonymous], 2006, PROCEEDING 10 INT CO
[Anonymous], 1990, Ecosystems of the world
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Apprill A, 2011, AQUAT MICROB ECOL, V62, P251, DOI 10.3354/ame01471
ARMSTRONG FA, 1967, DEEP-SEA RES, V14, P381, DOI 10.1016/0011-7471(67)90082-4
Bernhardt H., 1967, Technicon Symp, V1, P385
BRAY JR, 1957, ECOL MONOGR, V27, P326, DOI 10.2307/1942268
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Cárdenas A, 2018, ISME J, V12, P59, DOI 10.1038/ismej.2017.142
Clarke K., 2001, Change in Marine Communities, V2
De'ath G, 2012, P NATL ACAD SCI USA, V109, P17995, DOI 10.1073/pnas.1208909109
Dinsdale EA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001584
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
FSM National Government, 2002, 2000 POP HOUS CENS R
Gardner TA, 2003, SCIENCE, V301, P958, DOI 10.1126/science.1086050
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Glasl B, 2020, ISME J, V14, P1435, DOI 10.1038/s41396-020-0622-6
Glasl B, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0705-7
Glasl B, 2018, MICROBIOL AUST, V39, P42, DOI 10.1071/MA18011
Glasl B, 2017, MAR BIOL, V164, DOI 10.1007/s00227-017-3097-x
Goldberg J., 2008, Status of Coral Reefs of the World: 2008, P199
Haas AF, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.42, 10.1038/nmicrobiol.2016.42]
Haas AF, 2013, PEERJ, V1, DOI 10.7717/peerj.108
Hansell DA, 2001, DEEP-SEA RES PT II, V48, P1649, DOI 10.1016/S0967-0645(00)00153-3
Hill RW, 2010, CORAL REEFS, V29, P869, DOI 10.1007/s00338-010-0662-x
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Houk P, 2012, CORAL REEFS, V31, P13, DOI 10.1007/s00338-011-0826-3
Houlbrèque F, 2004, MAR ECOL PROG SER, V282, P151, DOI 10.3354/meps282151
Huggett MJ, 2019, ENV MICROBIOL REP, V11, P372, DOI 10.1111/1758-2229.12686
Hughes TP, 2018, NATURE, V556, P492, DOI 10.1038/s41586-018-0041-2
Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
Jeffries TC, 2015, SCI REP-UK, V5, DOI 10.1038/srep15383
Kellogg CA, 2004, MAR ECOL PROG SER, V273, P81, DOI 10.3354/meps273081
Kelly LW, 2014, P NATL ACAD SCI USA, V111, P10227, DOI 10.1073/pnas.1403319111
Kelty Ruth, 2004, P381
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Martin BD, 2020, ANN APPL STAT, V14, P94, DOI [10.1214/19-aoas1283, 10.1214/19-AOAS1283]
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Martiny JBH, 2011, P NATL ACAD SCI USA, V108, P7850, DOI 10.1073/pnas.1016308108
McCliment EA, 2012, ISME J, V6, P309, DOI 10.1038/ismej.2011.108
McMurdie PJ, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003531
McNally SP, 2017, LIMNOL OCEANOGR, V62, P217, DOI 10.1002/lno.10389
Moberg F, 1999, ECOL ECON, V29, P215, DOI 10.1016/S0921-8009(99)00009-9
Mumby PJ, 2013, CORAL REEFS, V32, P213, DOI 10.1007/s00338-012-0966-0
Muscatine L., 1990, P75
Nelson CE, 2013, ISME J, V7, P962, DOI 10.1038/ismej.2012.161
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Pandolfi JM, 2003, SCIENCE, V301, P955, DOI 10.1126/science.1085706
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raymundo LJ, 2019, CORAL REEFS, V38, P677, DOI 10.1007/s00338-019-01836-2
Rhodes KL, 2015, ENVIRON CONSERV, V42, P182, DOI 10.1017/S037689291400023X
Richards Z, 2015, MAR BIODIVERS, V45, P655, DOI 10.1007/s12526-014-0266-8
Salerno JL, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw109
Sandin SA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001548
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shashar N, 1996, J EXP MAR BIOL ECOL, V199, P17, DOI 10.1016/0022-0981(95)00156-5
Sorokin Y I, 1973, BIOL GEOL CORAL REEF, V2, P17
SOROKIN YI, 1973, NATURE, V242, P415, DOI 10.1038/242415a0
Stocking JB, 2016, CORAL REEFS, V35, P1047, DOI 10.1007/s00338-016-1446-8
Taylor BW, 2007, J N AM BENTHOL SOC, V26, P167, DOI 10.1899/0887-3593(2007)26[167:ITFAMM]2.0.CO;2
USEPA U S Environmental Protection Agency, 1993, EPA600479020
Vandecandelaere I, 2008, INT J SYST EVOL MICR, V58, P2788, DOI 10.1099/ijs.0.65844-0
Weber L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229442
Weber L, 2019, LIMNOL OCEANOGR, V64, P2373, DOI 10.1002/lno.11190
Weber L, 2020, ENVIRON MICROBIOL, V22, P499, DOI 10.1111/1462-2920.14870
Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
WILKINSON CR, 1983, SCIENCE, V219, P410, DOI 10.1126/science.219.4583.410
WILKINSON CR, 1979, NATURE, V279, P527, DOI 10.1038/279527a0
Yeo SK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056207
NR 77
TC 13
Z9 15
PY 2021
VL 86
BP 115
EP 136
DI 10.3354/ame01961
UT WOS:000665451400009
DA 2025-07-30
ER
PT J
AU Schwalbach, MS
Brown, M
Fuhrman, JA
AF Schwalbach, MS
Brown, M
Fuhrman, JA
TI Impact of light on marine bacterioplankton community structure
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Reports of widespread proteorhodopsin and bacteriochlorophyll a genes suggest that light may facilitate the growth of many marine bacteria. We tested this hypothesis by conducting 3 light manipulation experiments with bacterial communities obtained off the Southern California coast. In each experiment, duplicate 20 l mesocosms were subjected to either 14:10 h light:dark or continual darkness for 5 to 10 d. Automated Ribosomal Intergenic Spacer Analysis (ARISA), a whole-community fingerprinting technique, was used to determine how light affects bacterial community structure. Light removal resulted in only minor changes in ARISA profiles (mean decrease in similarity between treatments: 6 +/- 1 % via Sorenson's index [only considers presence/absence of taxa], 15 +/- 7 % via Pearson's coefficient [considers relative abundance of taxa]) at the conclusion of the experiments. Oligotrophic communities responded nearly twice as strongly to light removal compared to mesotrophic communities. Phototrophs such as cyanobacteria exhibited consistent, sharp declines in dark treatments, indicating whatever heterotrophic abilities they possess were not sufficient to sustain them when faced with natural removal processes such as grazing or viral lysis. Members of the broad SAR86, SAR11, SAR116, CFB and Roseobacter phylogenetic groups exhibited minor, mixed responses to light removal, suggesting that only a few select members may rely on phototrophy to a measurable extent. Our results indicate that the majority of non-cyanobacterial bacteria in the ocean do not depend heavily on light to maintain themselves over 5 or 10 d periods in the presence of natural removal processes, and hint that proteorhodopsin and bacteriochlorophyll a genes may have alternative, undetermined ecological benefits besides phototrophy.
C1 Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
Univ So Calif, Wrigley Inst Marine Studies, Los Angeles, CA 90089 USA.
RP Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
EM schwalba@usc.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Borneman J, 1997, APPL ENVIRON MICROB, V63, P2647, DOI 10.1128/AEM.63.7.2647-2653.1997
BROWN MV, IN PRESS ENV MICROBI
CAMPBELL L, 1993, DEEP-SEA RES PT I, V40, P2043, DOI 10.1016/0967-0637(93)90044-4
Church MJ, 2004, APPL ENVIRON MICROB, V70, P4079, DOI 10.1128/AEM.70.7.4079-4087.2004
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
Fisher MM, 2000, MICROBIAL ECOL, V40, P125, DOI 10.1007/s002480000049
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Goericke R, 2002, LIMNOL OCEANOGR, V47, P290, DOI 10.4319/lo.2002.47.1.0290
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Karr EA, 2003, APPL ENVIRON MICROB, V69, P4910, DOI 10.1128/AEM.69.8.4910-4914.2003
Koblízek M, 2003, ARCH MICROBIOL, V180, P327, DOI 10.1007/s00203-003-0596-6
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
LANE DJ, 1985, P NATL ACAD SCI USA, V82, P6955, DOI 10.1073/pnas.82.20.6955
Lueders T, 2003, APPL ENVIRON MICROB, V69, P320, DOI 10.1128/AEM.69.1.320-326.2003
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Oz A, 2005, APPL ENVIRON MICROB, V71, P344, DOI 10.1128/AEM.71.1.344-353.2005
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Schwalbach MS, 2005, LIMNOL OCEANOGR, V50, P620, DOI 10.4319/lo.2005.50.2.0620
Schwalbach MS, 2004, AQUAT MICROB ECOL, V34, P117, DOI 10.3354/ame034117
SHIBA T, 1979, APPL ENVIRON MICROB, V38, P43, DOI 10.1128/AEM.38.1.43-45.1979
SORENSON T, 1998, NUMERICAL ECOLOGY, P256
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Tao H, 1999, J BACTERIOL, V181, P6425, DOI 10.1128/JB.181.20.6425-6440.1999
Van Mooy BAS, 2004, LIMNOL OCEANOGR, V49, P1056, DOI 10.4319/lo.2004.49.4.1056
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang WW, 2003, J BIOL CHEM, V278, P33985, DOI 10.1074/jbc.M305716200
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 42
TC 47
Z9 50
PD JUN 20
PY 2005
VL 39
IS 3
BP 235
EP 245
DI 10.3354/ame039235
UT WOS:000230467100003
DA 2025-07-30
ER
PT J
AU Garner, RE
Gregory-Eaves, I
Walsh, DA
AF Garner, Rebecca E.
Gregory-Eaves, Irene
Walsh, David A.
TI Sediment Metagenomes as Time Capsules of Lake Microbiomes
SO MSPHERE
DT Article
AB The reconstruction of ecological time series from lake sediment archives can retrace the environmental impact of human activities. Molecular genetic approaches in paleolimnology have provided unprecedented access to DNA time series, which record evidence of the microbial ecologies that underlaid historical lake ecosystems. Such studies often rely on single-gene surveys, and consequently, the full diversity of preserved microorganisms remains unexplored. In this study, we probed the diversity archived in contemporary and preindustrial sediments by comparative shotgun metagenomic analysis of surface water and sediment samples from three eastern Canadian lakes. In a strategy that was aimed at disentangling historical DNA from the indigenous sediment background, microbial preservation signals were captured by mapping sequence similarities between sediment metagenome reads and reference surface water metagenome assemblies. We detected preserved Cyanobacteria, diverse bacterioplankton, microeukaryotes, and viruses in sediment metagenomes. Among the preserved microorganisms were important groups never before reported in paleolimnological reconstructions, including bacteriophages (Caudoviroles) and ubiquitous freshwater Betaproteobacteria (Polynucleobacter and Limnohabitans). In contrast, ultramicroscopic Actinobacteria ("Candidatus Nanopelagicales") and Alphaproteobacteria (Pelagibacterales) were apparently not well preserved in sediment metagenomes even though they were numerically dominant in surface water metagenomes. Overall, our study explored a novel application of whole-metagenome shotgun sequencing for discovering the DNA remains of a broad diversity of microorganisms preserved in lake sediments. The recovery of diverse microbial time series supports the taxonomic expansion of microbiome reconstructions and the development of novel microbial paleoindicators.
IMPORTANCE Lakes are critical freshwater resources under mounting pressure from climate change and other anthropogenic stressors. The reconstruction of ecological time series from sediment archives with paleolimnological techniques has been shown to be an effective means of understanding how humans are modifying lake ecosystems over extended timescales. In this study, we combined shotgun DNA sequencing with a novel comparative analysis of surface water and sediment metagenomes to expose the diversity of microorganisms preserved in lake sediments. The detection of DNA from a broad diversity of preserved microbes serves to more fully reconstruct historical microbiomes and describe preimpact lake conditions.
C1 [Garner, Rebecca E.; Walsh, David A.] Concordia Univ, Dept Biol, Montreal, PQ, Canada.
[Gregory-Eaves, Irene] McGill Univ, Dept Biol, Montreal, PQ, Canada.
[Garner, Rebecca E.; Gregory-Eaves, Irene; Walsh, David A.] Grp Rech Interuniv Limnol, Montreal, PQ, Canada.
RP Walsh, DA (corresponding author), Concordia Univ, Dept Biol, Montreal, PQ, Canada.; Walsh, DA (corresponding author), Grp Rech Interuniv Limnol, Montreal, PQ, Canada.
EM david.walsh@concordia.ca
CR Adrian R, 2009, LIMNOL OCEANOGR, V54, P2283, DOI 10.4319/lo.2009.54.6_part_2.2283
Ahmed E, 2018, QUATERNARY SCI REV, V181, P19, DOI 10.1016/j.quascirev.2017.11.037
Anderson NJ, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaw2145
Bálint M, 2018, TRENDS ECOL EVOL, V33, P945, DOI 10.1016/j.tree.2018.09.003
Belle S, 2019, GEOMICROBIOL J, V36, P570, DOI 10.1080/01490451.2019.1583698
Boere AC, 2011, ORG GEOCHEM, V42, P1216, DOI 10.1016/j.orggeochem.2011.08.005
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Canchaya C, 2003, MICROBIOL MOL BIOL R, V67, P238, DOI 10.1128/MMBR.67.2.238-276.2003
Capo E, 2017, ENVIRON MICROBIOL, V19, P2873, DOI 10.1111/1462-2920.13815
Capo E, 2016, MOL ECOL, V25, P5925, DOI 10.1111/mec.13893
Capo E, 2015, MICROB ECOL, V70, P865, DOI 10.1007/s00248-015-0627-2
Coenye T., 2014, The Prokaryotes: alphaproteobacteria and Betaproteobacteria, P759, DOI [10.1007/978-3-642-30197-1_239, DOI 10.1007/978-3-642-30197-1_239]
Cohan FM, 2006, PHILOS T R SOC B, V361, P1985, DOI 10.1098/rstb.2006.1918
Coolen MJL, 2011, SCIENCE, V333, P451, DOI 10.1126/science.1200072
DIXIT SS, 1992, ENVIRON SCI TECHNOL, V26, P22, DOI 10.1021/es00025a002
Domaizon I, 2017, J PALEOLIMNOL, V58, P1, DOI 10.1007/s10933-017-9958-y
Dubois N, 2018, ANTHROPOCENE REV, V5, P28, DOI 10.1177/2053019617740365
Eloe-Fadrosh EA, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2015.32, 10.1038/nmicrobiol.2015.32]
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Giosan L, 2018, CLIM PAST, V14, P1669, DOI 10.5194/cp-14-1669-2018
Glasl B, 2017, MAR BIOL, V164, DOI 10.1007/s00227-017-3097-x
Grossart HP, 2020, LIMNOL OCEANOGR, V65, pS2, DOI 10.1002/lno.11382
Hahn MW, 2016, INT J SYST EVOL MICR, V66, P2883, DOI 10.1099/ijsem.0.001073
Hahn MW, 2016, ISME J, V10, P1642, DOI 10.1038/ismej.2015.237
Handelsman J, 2004, MICROBIOL MOL BIOL R, V68, P669, DOI 10.1128/MMBR.68.4.669-685.2004
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Huntemann M, 2016, STAND GENOMIC SCI, V11, DOI 10.1186/s40793-016-0138-x
Huot Y, 2019, SCI TOTAL ENVIRON, V695, DOI 10.1016/j.scitotenv.2019.133668
JONES DT, 1992, COMPUT APPL BIOSCI, V8, P275, DOI 10.1093/bioinformatics/8.3.275
Katoh K, 2019, BRIEF BIOINFORM, V20, P1160, DOI 10.1093/bib/bbx108
Kavagutti VS, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0752-0
Kumar S, 2018, MOL BIOL EVOL, V35, P1, DOI 10.1093/molbev/msx313
Lammers Y., 2020, ENV PALAEOGENOMIC RE, DOI [10.1101/2020.04.10.035535, DOI 10.1101/2020.04.10.035535, 10.1101/2020.04.10.035535.]
Li DH, 2016, METHODS, V102, P3, DOI 10.1016/j.ymeth.2016.02.020
Maniloff J, 1998, ARCH VIROL, V143, P2051, DOI 10.1007/s007050050442
De La Escalera GM, 2014, MOL ECOL, V23, P5791, DOI 10.1111/mec.12979
Melton ED, 2014, ENVIRON MICROBIOL, V16, P3287, DOI 10.1111/1462-2920.12566
Monchamp ME, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43814-2
Monchamp ME, 2016, APPL ENVIRON MICROB, V82, P6472, DOI 10.1128/AEM.02174-16
More KD, 2019, GEOBIOLOGY, V17, P436, DOI 10.1111/gbi.12338
Natural Resources Canada, 2019, Lakes, Rivers and Glaciers in Canada (shp)
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Ng TFF, 2014, P NATL ACAD SCI USA, V111, P16842, DOI 10.1073/pnas.1410429111
Nuy JK, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00154
Oksanen, 2022, VEGAN COMMUNITY ECOL
Orsi WD, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-05590-9
Parducci L, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00189
Pedersen MW, 2016, NATURE, V537, P45, DOI 10.1038/nature19085
Perga ME, 2015, FRONT ECOL EVOL, V3, DOI 10.3389/fevo.2015.00072
Pernthaler J, 2017, ENVIRON MICROBIOL, V19, P2133, DOI 10.1111/1462-2920.13742
Pilon S, 2019, LAKE RESERV MANAGE, V35, P102, DOI 10.1080/10402381.2018.1549625
Piwosz K, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00052-20
Poulain AJ, 2015, ISME J, V9, P2541, DOI 10.1038/ismej.2015.86
Props R, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00140-20
QGIS Development Team, 2020, QGIS Geographic Information System
Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
R Core Team, 2018, R LANG ENV STAT COMP
Reid AJ, 2019, BIOL REV, V94, P849, DOI 10.1111/brv.12480
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Roux S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033641
Salcher MM, 2019, ISME J, V13, P2764, DOI 10.1038/s41396-019-0471-3
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schelske CL., 1994, J PALEOLIMNOL, V10, P115, DOI 10.1007/bf00682508
Schulte L, 2020, BIORXIV PREPRINT, DOI [10.1101/2020.01.06.896068., DOI 10.1101/2020.01.06.896068]
Smol JP, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2019.0834
SMOL JP, 1988, PALAEOGEOGR PALAEOCL, V62, P287, DOI 10.1016/0031-0182(88)90058-2
Statistics Canada, 2019, BOUNDARY FILES 2011
Taberlet P, 2012, MOL ECOL, V21, P2045, DOI 10.1111/j.1365-294X.2012.05470.x
Torti A, 2018, ENVIRON MICROBIOL, V20, P4526, DOI 10.1111/1462-2920.14401
Tranvik L. J., 2009, Limnology and Oceanography, V54, P2298
Vuillemin A, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01440
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Wickham H., 2019, J. Open Source Softw, V4, P1686, DOI [DOI 10.21105/JOSS.01686, 10.21105/joss.01686]
Willems A., 2014, PROKARYOTES ALPHAPRO, P777, DOI DOI 10.1007/978-3-642-30197-1_238
Williamson CE, 2008, FRONT ECOL ENVIRON, V6, P247, DOI 10.1890/070140
Ziesemer KA, 2015, SCI REP-UK, V5, DOI 10.1038/srep16498
NR 78
TC 23
Z9 23
PD NOV-DEC
PY 2020
VL 5
IS 6
AR e00512-20
DI 10.1128/mSphere.00512-20
UT WOS:000588447300001
DA 2025-07-30
ER
PT J
AU Pelve, EA
Fontanez, KM
DeLong, EF
AF Pelve, Erik A.
Fontanez, Kristina M.
DeLong, Edward F.
TI Bacterial Succession on Sinking Particles in the Ocean's Interior
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Sinking particles formed in the photic zone and moving vertically through the water column are a main mechanism for nutrient transport to the deep ocean, and a key component of the biological carbon pump. The particles appear to be processed by a microbial community substantially different from the surrounding waters. Single cell genomics and metagenomics were employed to describe the succession of dominant bacterial groups during particle processing. Sinking particles were extracted from sediment traps at Station Aloha in the North Pacific Subtropical Gyre (NPSG) during two different trap deployments conducted in July and August 2012. The microbial communities in poisoned vs. live sediment traps differed significantly from one another, consistent with prior observations by Fontanez et al. (2015). Partial genomes from these communities were sequenced from cells belonging to the genus Arcobacter (commensalists potentially associated with protists such as Radiolaria), and Vibrio carnpbellii (a group previously reported to be associated with crustacea). These bacteria were found in the particle-associated communities at specific depths in both trap deployments, presumably due to their specific host-associations. Partial genomes were also sequenced from cells belonging to Idiomarina and Kangiella that were enriched in live traps over a broad depth range, that represented a motile copiotroph and a putatively non-motile algicidal saprophyte, respectively. Planktonic bacterial cells most likely caught in the wake of the particles belonging to Actinomarina and the SAR11 Glade were also sequenced. Our results suggest that similar groups of eukaryote-associated bacteria are consistently found on sinking particles at different times, and that particle remineralization involves specific, reproducible bacterial succession events in oligotrophic ocean waters.
C1 [Pelve, Erik A.] Uppsala Univ, Biomed Ctr, Dept Cell & Mol Biol Mol Evolut, Uppsala, Sweden.
[Fontanez, Kristina M.] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
[DeLong, Edward F.] Univ Hawaii Manoa, Dept Oceanog, Daniel K Inoue Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
[Fontanez, Kristina M.] Fluid Screen Inc, Cambridge, MA USA.
RP DeLong, EF (corresponding author), Univ Hawaii Manoa, Dept Oceanog, Daniel K Inoue Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
EM edelong@hawaii.edu
CR Allen AE, 2013, CURR OPIN MICROBIOL, V16, P605, DOI 10.1016/j.mib.2013.10.001
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Biard T, 2015, PROTIST, V166, P374, DOI 10.1016/j.protis.2015.05.002
Boiteau RM, 2016, P NATL ACAD SCI USA, V113, P14237, DOI 10.1073/pnas.1608594113
Chen F, 2006, NUCLEIC ACIDS RES, V34, pD363, DOI 10.1093/nar/gkj123
Choe H, 2015, MAR GENOM, V24, P215, DOI 10.1016/j.margen.2015.05.015
Criscuolo A, 2010, BMC EVOL BIOL, V10, DOI 10.1186/1471-2148-10-210
Cuccuru G, 2014, BIOINFORMATICS, V30, P1928, DOI 10.1093/bioinformatics/btu135
Darjany LE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00263
de Vargas C, 2015, SCIENCE, V348, DOI 10.1126/science.1261605
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Donachie SP, 2003, INT J SYST EVOL MICR, V53, P1873, DOI 10.1099/ijs.0.02701-0
Douidah L, 2012, J CLIN MICROBIOL, V50, P735, DOI 10.1128/JCM.05872-11
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fontanez KM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00469
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grossart HP, 2010, ENV MICROBIOL REP, V2, P706, DOI 10.1111/j.1758-2229.2010.00179.x
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Gurevich A, 2013, BIOINFORMATICS, V29, P1072, DOI 10.1093/bioinformatics/btt086
Hamann E, 2016, NATURE, V534, P254, DOI 10.1038/nature18297
Han C, 2009, STAND GENOMIC SCI, V1, P226, DOI 10.4056/sigs.36635
Honjo S, 2008, PROG OCEANOGR, V76, P217, DOI 10.1016/j.pocean.2007.11.003
Hou SB, 2004, P NATL ACAD SCI USA, V101, P18036, DOI 10.1073/pnas.0407638102
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
León MJ, 2015, INT J SYST EVOL MICR, V65, P4595, DOI 10.1099/ijsem.0.000619
Kalenitchenko D, 2016, ISME J, V10, P2246, DOI 10.1038/ismej.2016.12
Katoh Kazutaka, 2013, Mol Biol Evol, V30, P772, DOI 10.1093/molbev/mst010
Lohse M, 2012, NUCLEIC ACIDS RES, V40, pW622, DOI 10.1093/nar/gks540
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
LOVE MI, 2014, GENOME BIOL, V15
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Nguyen Lam-Tung, 2015, Mol Biol Evol, V32, P268, DOI 10.1093/molbev/msu300
Oksanen, 2022, VEGAN COMMUNITY ECOL
Poddar A, 2014, RES MICROBIOL, V165, P501, DOI 10.1016/j.resmic.2014.07.008
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Ruwandeepika HAD, 2010, J APPL MICROBIOL, V109, P888, DOI 10.1111/j.1365-2672.2010.04715.x
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Shi RJ, 2013, WORLD J MICROB BIOT, V29, P153, DOI 10.1007/s11274-012-1168-1
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Singh P, 2015, APPL ENVIRON MICROB, V81, P5223, DOI 10.1128/AEM.00157-15
Smith DP, 2013, MBIO, V4, DOI 10.1128/mBio.00133-12
van der Horst MA, 2009, J AM CHEM SOC, V131, P17443, DOI 10.1021/ja9057103
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Yoon JH, 2004, INT J SYST EVOL MICR, V54, P1829, DOI 10.1099/ijs.0.63156-0
Zhang Z, 2000, J COMPUT BIOL, V7, P203, DOI 10.1089/10665270050081478
NR 48
TC 49
Z9 52
PD NOV 24
PY 2017
VL 8
AR 2269
DI 10.3389/fmicb.2017.02269
UT WOS:000416109000001
DA 2025-07-30
ER
PT J
AU Stirrup, R
Mausz, MA
Silvano, E
Murphy, A
Guillonneau, R
Quareshy, M
Rihtman, B
Ferretjans, MA
He, R
Todd, JD
Chen, F
Scanlan, DJ
Chen, Y
AF Stirrup, Rachel
Mausz, Michaela A.
Silvano, Eleonora
Murphy, Andrew
Guillonneau, Richard
Quareshy, Mussa
Rihtman, Branko
Ferretjans, Maria Aguilo
He, Ruo
Todd, Jonathan D.
Chen, Feng
Scanlan, David J.
Chen, Yin
TI Aminolipids elicit functional trade-offs between competitiveness and
bacteriophage attachment in Ruegeria pomeroyi
SO ISME JOURNAL
DT Article
AB Lipids play a crucial role in maintaining cell integrity and homeostasis with the surrounding environment. Cosmopolitan marine roseobacter clade (MRC) and SAR11 clade bacteria are unique in that, in addition to glycerophospholipids, they also produce an array of amino acid-containing lipids that are conjugated with beta-hydroxy fatty acids through an amide bond. Two of these aminolipids, the ornithine aminolipid (OL) and the glutamine aminolipid (QL), are synthesized using the O-acetyltransferase OlsA. Here, we demonstrate that OL and QL are present in both the inner and outer membranes of the Gram-negative MRC bacterium Ruegeria pomeroyi DSS-3. In an olsA mutant, loss of these aminolipids is compensated by a concurrent increase in glycerophospholipids. The inability to produce aminolipids caused significant changes in the membrane proteome, with the membrane being less permeable and key nutrient transporters being downregulated while proteins involved in the membrane stress response were upregulated. Indeed, the import of C-14-labelled choline and dimethylsulfoniopropionate, as a proxy for the transport of key marine nutrients across membranes, was significantly impaired in the olsA mutant. Moreover, the olsA mutant was significantly less competitive than the wild type (WT) being unable to compete with the WT strain in co-culture. However, the olsA mutant unable to synthesize these aminolipids is less susceptible to phage attachment. Together, these data reveal a critical role for aminolipids in the ecophysiology of this important clade of marine bacteria and a trade-off between growth and avoidance of bacteriophage attachment.
C1 [Stirrup, Rachel; Mausz, Michaela A.; Silvano, Eleonora; Murphy, Andrew; Guillonneau, Richard; Quareshy, Mussa; Rihtman, Branko; Ferretjans, Maria Aguilo; Scanlan, David J.; Chen, Yin] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, England.
[He, Ruo] Zhejiang Gongshang Univ, Sch Environm Sci & Engn, Hangzhou 310012, Peoples R China.
[Todd, Jonathan D.] Univ East Anglia, Sch Biol Sci, Norwich Res Pk, Norwich NR4 7TJ, England.
[Chen, Feng] Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, 701 E Pratt St, Baltimore, MD 21202 USA.
RP Chen, Y (corresponding author), Univ Warwick, Sch Life Sci, Coventry CV4 7AL, England.
EM Y.chen.25@warwick.ac.uk
CR Vences-Guzmán MA, 2015, ENVIRON MICROBIOL, V17, P1487, DOI 10.1111/1462-2920.12562
Aygun-Sunar S, 2006, MOL MICROBIOL, V61, P418, DOI 10.1111/j.1365-2958.2006.05253.x
Barbosa LC, 2018, MICROBIOL-SGM, V164, P395, DOI 10.1099/mic.0.000607
Beale R, 2016, ANAL CHIM ACTA, V938, P114, DOI 10.1016/j.aca.2016.07.016
Carini P, 2015, P NATL ACAD SCI USA, V112, P7767, DOI 10.1073/pnas.1505034112
Cox J, 2008, NAT BIOTECHNOL, V26, P1367, DOI 10.1038/nbt.1511
De Geyter J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.107, 10.1038/nmicrobiol.2016.107]
Goemans C, 2014, BBA-MOL CELL RES, V1843, P1517, DOI 10.1016/j.bbamcr.2013.10.014
Guillonneau R, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2203057119
Helander IM, 2000, INT J FOOD MICROBIOL, V60, P153, DOI 10.1016/S0168-1605(00)00307-X
Hyman Paul, 2009, V501, P175, DOI 10.1007/978-1-60327-164-6_18
Jaroslawski S, 2009, MOL MICROBIOL, V74, P1211, DOI 10.1111/j.1365-2958.2009.06926.x
Kim SK, 2018, ENVIRON MICROBIOL, V20, P3992, DOI 10.1111/1462-2920.14430
Knowles TJ, 2009, NAT REV MICROBIOL, V7, P206, DOI 10.1038/nrmicro2069
Koshy C, 2013, EMBO J, V32, P3096, DOI 10.1038/emboj.2013.226
Lewenza S, 2011, FEMS MICROBIOL LETT, V320, P95, DOI 10.1111/j.1574-6968.2011.02295.x
Lidbury I, 2015, ENVIRON MICROBIOL, V17, P5048, DOI 10.1111/1462-2920.12943
Lombard J, 2012, NAT REV MICROBIOL, V10, P507, DOI 10.1038/nrmicro2815
López-Lara IM, 2005, MOL PLANT MICROBE IN, V18, P973, DOI 10.1094/MPMI-18-0973
Lynch A, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.02157-18
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Moore EK, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00637
Neumann U, 1997, ANTON LEEUW INT J G, V72, P135, DOI 10.1023/A:1000262802010
Peretó J, 2004, TRENDS BIOCHEM SCI, V29, P469, DOI 10.1016/j.tibs.2004.07.002
Powers MJ, 2019, P NATL ACAD SCI USA, V116, P17147, DOI 10.1073/pnas.1902026116
Sana S, 2018, BBA-BIOMEMBRANES, V1860, P579, DOI 10.1016/j.bbamem.2017.09.027
Sebastián M, 2016, ISME J, V10, P968, DOI 10.1038/ismej.2015.172
Shropshire H, 2021, ENVIRON MICROBIOL, V23, P5069, DOI 10.1111/1462-2920.15451
Silvano E, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.552135
Smith AF, 2021, ISME J, V15, P2440, DOI 10.1038/s41396-021-00933-x
Smith AF, 2019, ISME J, V13, P39, DOI 10.1038/s41396-018-0249-z
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Tyanova S, 2018, METHODS MOL BIOL, V1711, P133, DOI 10.1007/978-1-4939-7493-1_7
Vences-Guzmán MA, 2012, FEMS MICROBIOL LETT, V335, P1, DOI 10.1111/j.1574-6968.2012.02623.x
Wilhelm MJ, 2015, ACS CHEM BIOL, V10, P1711, DOI 10.1021/acschembio.5b00042
WILKINSON BJ, 1982, ARCH MICROBIOL, V131, P338, DOI 10.1007/BF00411182
Zhao YL, 2009, ENVIRON MICROBIOL, V11, P2055, DOI 10.1111/j.1462-2920.2009.01927.x
NR 37
TC 7
Z9 8
PD MAR
PY 2023
VL 17
IS 3
BP 315
EP 325
DI 10.1038/s41396-022-01346-0
EA DEC 2022
UT WOS:000894983600001
DA 2025-07-30
ER
PT J
AU Cordone, A
D'Errico, G
Magliulo, M
Bolinesi, F
Selci, M
Basili, M
de Marco, R
Saggiomo, M
Rivaro, P
Giovannelli, D
Mangoni, O
AF Cordone, Angelina
D'Errico, Giuseppe
Magliulo, Maria
Bolinesi, Francesco
Selci, Matteo
Basili, Marco
de Marco, Rocco
Saggiomo, Maria
Rivaro, Paola
Giovannelli, Donato
Mangoni, Olga
TI Bacterioplankton Diversity and Distribution in Relation to Phytoplankton
Community Structure in the Ross Sea Surface Waters
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Primary productivity in the Ross Sea region is characterized by intense phytoplankton blooms whose temporal and spatial distribution are driven by changes in environmental conditions as well as interactions with the bacterioplankton community. However, the number of studies reporting the simultaneous diversity of the phytoplankton and bacterioplankton in Antarctic waters are limited. Here, we report data on the bacterial diversity in relation to phytoplankton community structure in the surface waters of the Ross Sea during the Austral summer 2017. Our results show partially overlapping bacterioplankton communities between the stations located in the Terra Nova Bay (TNB) coastal waters and the Ross Sea Open Waters (RSOWs), with a dominance of members belonging to the bacterial phyla Bacteroidetes and Proteobacteria. In the TNB coastal area, microbial communities were characterized by a higher abundance of sequences related to heterotrophic bacterial genera such as Polaribacter spp., together with higher phytoplankton biomass and higher relative abundance of diatoms. On the contrary, the phytoplankton biomass in the RSOW were lower, with relatively higher contribution of haptophytes and a higher abundance of sequences related to oligotrophic and mixothrophic bacterial groups like the Oligotrophic Marine Gammaproteobacteria (OMG) group and SAR11. We show that the rate of diversity change between the two locations is influenced by both abiotic (salinity and the nitrogen to phosphorus ratio) and biotic (phytoplankton community structure) factors. Our data provide new insight into the coexistence of the bacterioplankton and phytoplankton in Antarctic waters, suggesting that specific rather than random interaction contribute to the organic matter cycling in the Southern Ocean.
C1 [Cordone, Angelina; Magliulo, Maria; Bolinesi, Francesco; Selci, Matteo; Giovannelli, Donato; Mangoni, Olga] Univ Naples Federico II, Dept Biol, Naples, Italy.
[D'Errico, Giuseppe; Giovannelli, Donato] Polytech Univ Marche, Dept Life Sci, DISVA, Ancona, Italy.
[Basili, Marco; de Marco, Rocco; Giovannelli, Donato] Inst Marine Biol Resources & Biotechnol CNR IRBIM, Natl Res Council, Ancona, Italy.
[Saggiomo, Maria] Stn Zool Anton Dohrn, Naples, Italy.
[Rivaro, Paola] Univ Genoa, Dept Chem & Ind Chem, Genoa, Italy.
[Giovannelli, Donato] Rutgers State Univ, Dept Marine & Coastal Sci, New Brunswick, NJ 08901 USA.
[Giovannelli, Donato] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Giovannelli, Donato] Tokyo Inst Technol, Earth Life Sci Inst, Tokyo, Japan.
Consorzio Nazl Interuniv Sci Mare CoNISMa, Rome, Italy.
[Magliulo, Maria] Univ Essex, Colchester, Essex, England.
RP Bolinesi, F; Giovannelli, D (corresponding author), Univ Naples Federico II, Dept Biol, Naples, Italy.; Giovannelli, D (corresponding author), Polytech Univ Marche, Dept Life Sci, DISVA, Ancona, Italy.; Giovannelli, D (corresponding author), Inst Marine Biol Resources & Biotechnol CNR IRBIM, Natl Res Council, Ancona, Italy.; Giovannelli, D (corresponding author), Rutgers State Univ, Dept Marine & Coastal Sci, New Brunswick, NJ 08901 USA.; Giovannelli, D (corresponding author), Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.; Giovannelli, D (corresponding author), Tokyo Inst Technol, Earth Life Sci Inst, Tokyo, Japan.
EM francesco.bolinesi@unina.it; donato.giovannelli@unina.it
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Arrigo KR, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004551
Arrigo KR, 1999, SCIENCE, V283, P365, DOI 10.1126/science.283.5400.365
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Barberán A, 2012, ISME J, V6, P343, DOI 10.1038/ismej.2011.119
Bertrand EM, 2007, LIMNOL OCEANOGR, V52, P1079, DOI 10.4319/lo.2007.52.3.1079
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bertrand EM, 2011, ENVIRON MICROBIOL, V13, P1285, DOI 10.1111/j.1462-2920.2011.02428.x
BILLEN G, 1991, POLAR RES, V10, P245, DOI 10.1111/j.1751-8369.1991.tb00650.x
Blanchet FG, 2020, ECOL LETT, V23, P1050, DOI 10.1111/ele.13525
Bolinesi F, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.574963
Bolinesi F, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10196965
Bowman JP, 2003, INT J SYST EVOL MICR, V53, P1343, DOI 10.1099/ijs.0.02553-0
Brierley AS, 2002, ADV MAR BIOL, V43, P171, DOI 10.1016/S0065-2881(02)43005-2
Brooks C.M., 2017, HDB POLITICS ANTARCT, P893
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cafaro V, 2013, WOODH PUB SER BIOMED, P373, DOI 10.1533/9781908818355.3.373
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Calvo C, 2002, APPL MICROBIOL BIOT, V60, P347, DOI 10.1007/s00253-002-1115-4
Calvo C, 1998, J IND MICROBIOL BIOT, V20, P205, DOI 10.1038/sj.jim.2900513
Celussi M, 2009, DEEP-SEA RES PT I, V56, P2193, DOI 10.1016/j.dsr.2009.09.001
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
COLE JJ, 1982, ANNU REV ECOL SYST, V13, P291, DOI 10.1146/annurev.es.13.110182.001451
Connor N, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0176751
Convey P, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaz0888
Courties A, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01203-13
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Csardi G., 2006, Complex Syst, V1695, P1
Delgado-Baquerizo M, 2018, SCIENCE, V359, P320, DOI 10.1126/science.aap9516
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
Deppeler SL, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00040
Di Poi E, 2013, GLOBAL BIOGEOCHEM CY, V27, P1034, DOI 10.1002/2013GB004589
DiTullio Giacomo R., 2003, Antarctic Research Series, V78, P279
DITULLIO GR, 1995, DEEP-SEA RES PT I, V42, P873, DOI 10.1016/0967-0637(95)00051-7
DiTullio GR, 2000, NATURE, V404, P595, DOI 10.1038/35007061
Ducklow HW, 2012, J MARINE SYST, V98-99, P26, DOI 10.1016/j.jmarsys.2012.03.003
Escalera L, 2019, J EUKARYOT MICROBIOL, V66, P849, DOI 10.1111/jeu.12720
Fakhry S, 2008, J APPL MICROBIOL, V105, P2178, DOI 10.1111/j.1365-2672.2008.03934.x
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fan KK, 2018, SOIL BIOL BIOCHEM, V121, P185, DOI 10.1016/j.soilbio.2018.03.017
Fang H, 2017, MICROB CELL FACT, V16, DOI 10.1186/s12934-017-0631-y
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
FIALA M, 1992, MAR ECOL PROG SER, V89, P135, DOI 10.3354/meps089135
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Flaviani F, 2017, MICROBIAL BIODIVERSI
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fullerton KM, 2021, NAT GEOSCI, V14, P301, DOI 10.1038/s41561-021-00725-0
GAUTHIER MJ, 1992, INT J SYST BACTERIOL, V42, P568, DOI 10.1099/00207713-42-4-568
Gentile G, 2006, ENVIRON MICROBIOL, V8, P2150, DOI 10.1111/j.1462-2920.2006.01097.x
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Giovannelli D, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00941
Giovannelli D, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00184
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Gosink JJ, 1998, INT J SYST BACTERIOL, V48, P223, DOI 10.1099/00207713-48-1-223
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Gutierrez T, 2020, APPL MICROBIOL BIOT, V104, P1063, DOI 10.1007/s00253-019-10270-x
HANSEN J, 1983, MON WEATHER REV, V111, P609, DOI 10.1175/1520-0493(1983)111<0609:ETDGMF>2.0.CO;2
Harayama S, 2004, CURR OPIN BIOTECH, V15, P205, DOI 10.1016/j.copbio.2004.04.002
Hirano H, 2019, BMC BIOINFORMATICS, V20, DOI 10.1186/s12859-019-2915-1
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Hoopes MF, 2005, METACOMMUNITIES: SPATIAL DYNAMICS AND ECOLOGICAL COMMUNITIES, P35
Karsten U, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P143
Kasai Y, 2002, APPL ENVIRON MICROB, V68, P5625, DOI 10.1128/AEM.68.11.5625-5633.2002
Kasai Y, 2002, ENVIRON MICROBIOL, V4, P141, DOI 10.1046/j.1462-2920.2002.00275.x
Kim JG, 2014, ENVIRON MICROBIOL, V16, P1566, DOI 10.1111/1462-2920.12287
Kirchman DL, 2001, DEEP-SEA RES PT II, V48, P4179, DOI 10.1016/S0967-0645(01)00085-6
KIRST GO, 1991, MAR CHEM, V35, P381, DOI 10.1016/S0304-4203(09)90030-5
Lahti L., 2017, Microbiome package version 1.1.10012
Lea-Smith DJ, 2015, P NATL ACAD SCI USA, V112, P13591, DOI 10.1073/pnas.1507274112
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
Lo Giudice A, 2012, MICROB ECOL, V63, P210, DOI 10.1007/s00248-011-9904-x
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Luria CM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02117
Mackey MD, 1996, MAR ECOL PROG SER, V144, P265, DOI 10.3354/meps144265
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mandakovic D, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23931-0
Mangoni O, 2019, MAR ENVIRON RES, V151, DOI 10.1016/j.marenvres.2019.05.012
Mangoni O, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0176033
Margesin R., 2017, Psychrophiles: from biodiversity to biotechnology
Martínez-Checa F, 2002, APPL MICROBIOL BIOT, V58, P358, DOI 10.1007/s00253-001-0903-6
McGenity Terry J, 2012, Aquat Biosyst, V8, P10, DOI 10.1186/2046-9063-8-10
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Médigue C, 2005, GENOME RES, V15, P1325, DOI 10.1101/gr.4126905
Melin F, 2013, GMIS-MODIS-AQUA Monthly Climatology Sea Surface Chlorophyll-a Concentration (9 km) in mg.m 3
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
Milani C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068739
Moore JK, 2000, J GEOPHYS RES-OCEANS, V105, P28709, DOI 10.1029/1999JC000043
Morán XAG, 2002, MICROBIAL ECOL, V44, P217, DOI 10.1007/s00248-002-1026-z
Morán XAG, 2001, MAR ECOL PROG SER, V222, P25, DOI 10.3354/meps222025
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 2007, PHILOS T R SOC B, V362, P2259, DOI 10.1098/rstb.2006.1944
Oksanen, 2022, VEGAN COMMUNITY ECOL
Palmowski Tadeusz, 2020, GeoJournal of Tourism and Geosites, V33, P1520, DOI 10.30892/gtg.334spll11--602
Pepi M, 2005, FEMS MICROBIOL ECOL, V53, P157, DOI 10.1016/j.femsec.2004.09.013
Phan-Tan L, 2018, POLAR BIOL, V41, P983, DOI 10.1007/s00300-018-2262-0
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Raes EJ, 2018, P NATL ACAD SCI USA, V115, pEB266, DOI 10.1073/pnas.1719335115
Richert I, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2641
Rosenberg E., 2013, PROKARYOTES PROKARYO, P201
Saggiomo M, 2021, MAR MICROPALEONTOL, V165, DOI 10.1016/j.marmicro.2021.101993
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Sheik CS, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00840
Sher D, 2011, ISME J, V5, P1125, DOI 10.1038/ISMEJ.2011.1
Silvi S, 2016, J ENVIRON PROT ECOL, V17, P211
Singer E, 2011, APPL ENVIRON MICROB, V77, P2763, DOI 10.1128/AEM.01866-10
Smith WO, 2007, PHILOS T R SOC B, V362, P95, DOI 10.1098/rstb.2006.1956
Smith WO, 2014, ANNU REV MAR SCI, V6, P469, DOI 10.1146/annurev-marine-010213-135114
Smith WO, 1997, GEOPHYS RES LETT, V24, P233, DOI 10.1029/96GL03926
Song J, 2015, INT J SYST EVOL MICR, V65, P4850, DOI 10.1099/ijsem.0.000662
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-117
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Sunamura M, 2004, APPL ENVIRON MICROB, V70, P1190, DOI 10.1128/AEM.70.2.1190-1198.2004
Sunamura M., 2015, SUBSEAFLOOR BIOSPHER, P31
Tagliabue A, 2017, NATURE, V543, P51, DOI 10.1038/nature21058
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Utermohl H, 1931, SIL P, V5, P567, DOI [10.1080/03680770.1931.11898492, DOI 10.1080/03680770.1931.11898492]
Vidussi F, 1996, J PLANKTON RES, V18, P2377, DOI 10.1093/plankt/18.12.2377
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Widder S, 2014, P NATL ACAD SCI USA, V111, P12799, DOI 10.1073/pnas.1411723111
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams RJ, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00358
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Yakimov MM, 1998, INT J SYST BACTERIOL, V48, P339, DOI 10.1099/00207713-48-2-339
Yakimov MM, 2003, INT J SYST EVOL MICR, V53, P779, DOI 10.1099/ijs.0.02366-0
Zadjelovic V, 2020, ENVIRON MICROBIOL, V22, P1356, DOI 10.1111/1462-2920.14947
NR 136
TC 14
Z9 15
PD JAN 27
PY 2022
VL 13
AR 722900
DI 10.3389/fmicb.2022.722900
UT WOS:000753189400001
DA 2025-07-30
ER
PT J
AU Morán, XAG
Alonso-Sáez, L
Nogueira, E
Ducklow, HW
González, N
López-Urrutia, A
Díaz-Pérez, L
Calvo-Díaz, A
Arandia-Gorostidi, N
Huete-Stauffer, TM
AF Moran, Xose Anxelu G.
Alonso-Saez, Laura
Nogueira, Enrique
Ducklow, Hugh W.
Gonzalez, Natalia
Lopez-Urrutia, Angel
Diaz-Perez, Laura
Calvo-Diaz, Alejandra
Arandia-Gorostidi, Nestor
Huete-Stauffer, Tamara M.
TI More, smaller bacteria in response to ocean's warming?
SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
DT Article
AB Heterotrophic bacteria play a major role in organic matter cycling in the ocean. Although the high abundances and relatively fast growth rates of coastal surface bacterioplankton make them suitable sentinels of global change, past analyses have largely overlooked this functional group. Here, time series analysis of a decade of monthly observations in temperate Atlantic coastal waters revealed strong seasonal patterns in the abundance, size and biomass of the ubiquitous flow-cytometric groups of low (LNA) and high nucleic acid (HNA) content bacteria. Over this relatively short period, we also found that bacterioplankton cells were significantly smaller, a trend that is consistent with the hypothesized temperature-driven decrease in body size. Although decadal cell shrinking was observed for both groups, it was only LNA cells that were strongly coherent, with ecological theories linking temperature, abundance and individual size on both the seasonal and interannual scale. We explain this finding because, relative to their HNA counterparts, marine LNA bacteria are less diverse, dominated by members of the SAR11 clade. Temperature manipulation experiments in 2012 confirmed a direct effect of warming on bacterial size. Concurrent with rising temperatures in spring, significant decadal trends of increasing standing stocks (3% per year) accompanied by decreasing mean cell size (-1% per year) suggest a major shift in community structure, with a larger contribution of LNA bacteria to total biomass. The increasing prevalence of these typically oli-gotrophic taxa may severely impact marine food webs and carbon fluxes by an overall decrease in the efficiency of the biological pump.
C1 [Moran, Xose Anxelu G.] King Abdullah Univ Sci & Technol, Div Biol & Environm Sci & Engn, Red Sea Res Ctr, Thuwal 239556900, Saudi Arabia.
[Moran, Xose Anxelu G.; Alonso-Saez, Laura; Nogueira, Enrique; Lopez-Urrutia, Angel; Diaz-Perez, Laura; Calvo-Diaz, Alejandra; Arandia-Gorostidi, Nestor; Huete-Stauffer, Tamara M.] Ctr Oceanog Xixon, Inst Espanol Oceanog, Xixon 33212, Asturies, Spain.
[Alonso-Saez, Laura] AZTI Tecnalia, Marine Res Div, Sukarrieta 48395, Bizkaia, Spain.
[Ducklow, Hugh W.] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
[Gonzalez, Natalia] Univ Rey Juan Carlos, Dept Biol & Geol Fis & Quim Inorgan, Madrid 28933, Spain.
RP Morán, XAG (corresponding author), King Abdullah Univ Sci & Technol, Div Biol & Environm Sci & Engn, Red Sea Res Ctr, Thuwal 239556900, Saudi Arabia.
EM xelu.moran@kaust.edu.sa
CR Alonso-Saez L, ENV MICROBI IN PRESS, DOI [10.1111/1462-2920.12801, DOI 10.1111/1462-2920.12801)]
ATKINSON D, 1994, ADV ECOL RES, V25, P1, DOI 10.1016/s0065-2504(08)60212-3
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Behrenfeld MJ, 2006, NATURE, V444, P752, DOI 10.1038/nature05317
Bode A, 2011, CLIM RES, V48, P293, DOI 10.3354/cr00935
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P2050, DOI 10.1111/j.1462-2920.2007.01321.x
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Capotondi A, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007409
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
Daufresne M, 2009, P NATL ACAD SCI USA, V106, P12788, DOI 10.1073/pnas.0902080106
Dickman EM, 2008, P NATL ACAD SCI USA, V105, P18408, DOI 10.1073/pnas.0805566105
Doney SC, 2006, NATURE, V444, P695, DOI 10.1038/444695a
Ducklow HW, 2009, ANNU REV MAR SCI, V1, P279, DOI 10.1146/annurev.marine.010908.163801
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
El Kenawy A, 2012, ATMOS RES, V106, P159, DOI 10.1016/j.atmosres.2011.12.006
Falkowski PG, 2007, NAT REV MICROBIOL, V5, P813, DOI 10.1038/nrmicro1751
Felip M, 2007, APPL ENVIRON MICROB, V73, P4508, DOI 10.1128/AEM.00733-07
Finkel ZV, 2005, P NATL ACAD SCI USA, V102, P8927, DOI 10.1073/pnas.0409907102
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Forster J, 2013, ISME J, V7, P28, DOI 10.1038/ismej.2012.76
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gardner JL, 2011, TRENDS ECOL EVOL, V26, P285, DOI 10.1016/j.tree.2011.03.005
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2000, FEMS MICROBIOL ECOL, V31, P99, DOI 10.1111/j.1574-6941.2000.tb00675.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González-Gil R, 2015, J PLANKTON RES, V37, P337, DOI 10.1093/plankt/fbv001
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hansen J, 2006, P NATL ACAD SCI USA, V103, P14288, DOI 10.1073/pnas.0606291103
Hessen DO, 2013, BIOL REV, V88, P476, DOI 10.1111/brv.12006
Holt J, 2012, PROG OCEANOGR, V106, P96, DOI 10.1016/j.pocean.2012.08.001
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kingsolver JG, 2008, EVOL ECOL RES, V10, P251
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Koonin EV, 2008, NUCLEIC ACIDS RES, V36, P6688, DOI 10.1093/nar/gkn668
Li WKW, 2009, SCIENCE, V326, P539, DOI 10.1126/science.1179798
Llope M, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC002963
López-Urrutia A, 2006, P NATL ACAD SCI USA, V103, P8739, DOI 10.1073/pnas.0601137103
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Massana R, 1997, SCI MAR, V61, P397
Montes-Hugo M, 2009, SCIENCE, V323, P1470, DOI 10.1126/science.1164533
Morán XAG, 2011, LIMNOL OCEANOGR, V56, P37, DOI 10.4319/lo.2011.56.1.0037
Morán XAG, 2010, GLOBAL CHANGE BIOL, V16, P1137, DOI 10.1111/j.1365-2486.2009.01960.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Norland S, 1993, HDB METHODS AQUATIC, P303, DOI DOI 10.1201/9780203752746-36
Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Richardson AJ, 2004, SCIENCE, V305, P1609, DOI 10.1126/science.1100958
Sabath N, 2013, GENOME BIOL EVOL, V5, P966, DOI 10.1093/gbe/evt050
Sarmento H, 2010, PHILOS T R SOC B, V365, P2137, DOI 10.1098/rstb.2010.0045
Sarmiento JL, 2004, GLOBAL BIOGEOCHEM CY, V18, DOI 10.1029/2003GB002134
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Sheridan JA, 2011, NAT CLIM CHANGE, V1, P401, DOI 10.1038/NCLIMATE1259
Straza TRA, 2009, APPL ENVIRON MICROB, V75, P4028, DOI 10.1128/AEM.00183-09
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Verity PG, 2010, ESTUAR COAST, V33, P513, DOI 10.1007/s12237-009-9208-2
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Walters RJ, 2006, AM NAT, V167, P510, DOI 10.1086/501029
White EP, 2007, TRENDS ECOL EVOL, V22, P323, DOI 10.1016/j.tree.2007.03.007
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Wohlers J, 2009, P NATL ACAD SCI USA, V106, P7067, DOI 10.1073/pnas.0812743106
Zeder M, 2011, CYTOM PART A, V79A, P306, DOI 10.1002/cyto.a.21034
NR 65
TC 81
Z9 82
PD JUL 7
PY 2015
VL 282
IS 1810
AR 20150371
DI 10.1098/rspb.2015.0371
UT WOS:000357719500011
DA 2025-07-30
ER
PT J
AU DeLorenzo, S
Bräuer, SL
Edgmont, CA
Herfort, L
Tebo, BM
Zuber, P
AF DeLorenzo, Suzanne
Braeuer, Suzanna L.
Edgmont, Chelsea A.
Herfort, Lydie
Tebo, Bradley M.
Zuber, Peter
TI Ubiquitous Dissolved Inorganic Carbon Assimilation by Marine Bacteria in
the Pacific Northwest Coastal Ocean as Determined by Stable Isotope
Probing
SO PLOS ONE
DT Article
AB In order to identify bacteria that assimilate dissolved inorganic carbon (DIC) in the northeast Pacific Ocean, stable isotope probing (SIP) experiments were conducted on water collected from 3 different sites off the Oregon and Washington coasts in May 2010, and one site off the Oregon Coast in September 2008 and March 2009. Samples were incubated in the dark with 2 mM C-13-NaHCO3, doubling the average concentration of DIC typically found in the ocean. Our results revealed a surprising diversity of marine bacteria actively assimilating DIC in the dark within the Pacific Northwest coastal waters, indicating that DIC fixation is relevant for the metabolism of different marine bacterial lineages, including putatively heterotrophic taxa. Furthermore, dark DIC-assimilating assemblages were widespread among diverse bacterial classes. Alphaproteobacteria, Gammaproteobacteria, and Bacteroidetes dominated the active DIC-assimilating communities across the samples. Actinobacteria, Betaproteobacteria, Deltaproteobacteria, Planctomycetes, and Verrucomicrobia were also implicated in DIC assimilation. Alteromonadales and Oceanospirillales contributed significantly to the DIC-assimilating Gammaproteobacteria within May 2010 clone libraries. 16S rRNA gene sequences related to the sulfur-oxidizing symbionts Arctic96BD-19 were observed in all active DIC assimilating clone libraries. Among the Alphaproteobacteria, clones related to the ubiquitous SAR11 clade were found actively assimilating DIC in all samples. Although not a dominant contributor to our active clone libraries, Betaproteobacteria, when identified, were predominantly comprised of Burkholderia. DIC-assimilating bacteria among Deltaproteobacteria included members of the SAR324 cluster. Our research suggests that DIC assimilation is ubiquitous among many bacterial groups in the coastal waters of the Pacific Northwest marine environment and may represent a significant metabolic process.
C1 [DeLorenzo, Suzanne; Braeuer, Suzanna L.; Edgmont, Chelsea A.; Herfort, Lydie; Tebo, Bradley M.; Zuber, Peter] Oregon Hlth & Sci Univ, Ctr Coastal Margin Observat & Predict, Beaverton, OR USA.
[DeLorenzo, Suzanne; Braeuer, Suzanna L.; Edgmont, Chelsea A.; Herfort, Lydie; Tebo, Bradley M.; Zuber, Peter] Oregon Hlth & Sci Univ, Div Environm & Biomol Syst, Beaverton, OR USA.
[Braeuer, Suzanna L.] Appalachian State Univ, Boone, NC 28608 USA.
RP DeLorenzo, S (corresponding author), Oregon Hlth & Sci Univ, Ctr Coastal Margin Observat & Predict, Beaverton, OR USA.
EM delorenz@ebs.ogi.edu
CR Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
Anderson CR, 2009, GEOMICROBIOL J, V26, P189, DOI 10.1080/01490450902724840
[Anonymous], 1985, MICROBIOLOGIYA
Badger MR, 2008, J EXP BOT, V59, P1525, DOI 10.1093/jxb/erm297
Bassham SH, 1957, PATH CARBON PHOTOSHY, P104
BASTIDE A, 1989, J GEN MICROBIOL, V135, P2869
Blum JS, 2009, APPL ENVIRON MICROB, V75, P1950, DOI 10.1128/AEM.02614-08
BRAY JR, 1957, ECOL MONOGR, V27, P326, DOI 10.2307/1942268
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Buckley DH, 2007, APPL ENVIRON MICROB, V73, P3189, DOI 10.1128/AEM.02609-06
Caspi R, 1996, MICROBIOL-UK, V142, P2549, DOI 10.1099/00221287-142-9-2549
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
Dick GJ, 2008, APPL ENVIRON MICROB, V74, P2646, DOI 10.1128/AEM.01656-07
Drummond A. J. A. B., 2010, Khumbu Himal
Eiler A, 2006, APPL ENVIRON MICROB, V72, P7431, DOI 10.1128/AEM.01559-06
Feisthauer S, 2008, ENVIRON MICROBIOL, V10, P1641, DOI 10.1111/j.1462-2920.2008.01573.x
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Frias-Lopez J, 2009, ENVIRON MICROBIOL, V11, P512, DOI 10.1111/j.1462-2920.2008.01793.x
Gallagher E, 2005, APPL ENVIRON MICROB, V71, P5192, DOI 10.1128/AEM.71.9.5192-5196.2005
Glaubitz S, 2010, FEMS MICROBIOL ECOL, V74, P32, DOI 10.1111/j.1574-6941.2010.00944.x
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Herfort L, 2011, AQUAT MICROB ECOL, V62, P85, DOI 10.3354/ame01460
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Khadem AF, 2011, J BACTERIOL, V193, P4438, DOI 10.1128/JB.00407-11
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
Kuenen JG, 2008, NAT REV MICROBIOL, V6, P320, DOI 10.1038/nrmicro1857
KUENEN JG, 1982, PHILOS T R SOC B, V298, P473, DOI 10.1098/rstb.1982.0093
LAGET M, 1987, FOLIA MICROBIOL, V32, P116, DOI 10.1007/BF02883238
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Madhaiyan M, 2010, INT J SYST EVOL MICR, V60, P2187, DOI 10.1099/ijs.0.014019-0
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Moreira D, 1997, INT J SYST BACTERIOL, V47, P522, DOI 10.1099/00207713-47-2-522
Musat N, 2008, P NATL ACAD SCI USA, V105, P17861, DOI 10.1073/pnas.0809329105
Park SW, 2003, J BACTERIOL, V185, P142, DOI 10.1128/JB.185.1.142-147.2003
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Radajewski S, 2003, CURR OPIN BIOTECH, V14, P296, DOI 10.1016/S0958-1669(03)00064-8
Ro YT, 1997, J BACTERIOL, V179, P6041, DOI 10.1128/jb.179.19.6041-6047.1997
Romanenko V. I., 1964, MIKROBIOLOGIYA, V33, P610
ROSZAK DB, 1987, MICROBIOL REV, V51, P365, DOI 10.1128/MMBR.51.3.365-379.1987
SCHAFERJOHANN J, 1993, J BACTERIOL, V175, P7329
SCHINK B, 1987, ARCH MICROBIOL, V147, P321, DOI 10.1007/BF00406127
Selesi D, 2005, APPL ENVIRON MICROB, V71, P175, DOI 10.1128/AEM.71.1.175-184.2005
Selesi D, 2007, J MICROBIOL METH, V69, P497, DOI 10.1016/j.mimet.2007.03.002
SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI 10.1002/j.1538-7305.1948.tb01338.x
Shively JM, 1998, ANNU REV MICROBIOL, V52, P191, DOI 10.1146/annurev.micro.52.1.191
SOROKIN JI, 1966, Z ALLG MIKROBIOL, V6, P69, DOI 10.1002/jobm.3630060107
STANGE L, 1960, BIOCHIM BIOPHYS ACTA, V37, P92, DOI 10.1016/0006-3002(60)90082-2
Steindler L, 2012, PLOS ONE, V6
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Swingley WD, 2007, J BACTERIOL, V189, P683, DOI 10.1128/JB.01390-06
Tang KH, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007233
Thrash JC, 2010, J BACTERIOL, V192, P3842, DOI 10.1128/JB.00511-10
Tolli J, 2005, APPL ENVIRON MICROB, V71, P8411, DOI 10.1128/AEM.71.12.8411-8418.2005
Videmsek U, 2009, MICROB ECOL, V58, P1, DOI 10.1007/s00248-008-9442-3
WANG X, 1993, J BACTERIOL, V175, P7109, DOI 10.1128/jb.175.21.7109-7114.1993
Yuan HZ, 2012, APPL ENVIRON MICROB, V78, P2328, DOI 10.1128/AEM.06881-11
NR 59
TC 41
Z9 44
PD OCT 3
PY 2012
VL 7
IS 10
AR e46695
DI 10.1371/journal.pone.0046695
UT WOS:000309454000075
DA 2025-07-30
ER
PT J
AU Vila-Costa, M
Rinta-Kanto, JM
Sun, SL
Sharma, S
Poretsky, R
Moran, MA
AF Vila-Costa, Maria
Rinta-Kanto, Johanna M.
Sun, Shulei
Sharma, Shalabh
Poretsky, Rachel
Moran, Mary Ann
TI Transcriptomic analysis of a marine bacterial community enriched with
dimethylsulfoniopropionate
SO ISME JOURNAL
DT Article
AB Dimethylsulfoniopropionate (DMSP) is an important source of reduced sulfur and carbon for marine microbial communities, as well as the precursor of the climate-active gas dimethylsulfide (DMS). In this study, we used metatranscriptomic sequencing to analyze gene expression profiles of a bacterial assemblage from surface waters at the Bermuda Atlantic Time-series Study (BATS) station with and without a short-term enrichment of DMSP (25 nM for 30 min). An average of 303 143 reads were obtained per treatment using 454 pyrosequencing technology, of which 51% were potential protein-encoding sequences. Transcripts from Gammaproteobacteria and Bacteroidetes increased in relative abundance on DMSP addition, yet there was little change in the contribution of two bacterioplankton groups whose cultured members harbor known DMSP degradation genes, Roseobacter and SAR11. The DMSP addition led to an enrichment of transcripts supporting heterotrophic activity, and a depletion of those encoding light-related energy generation. Genes for the degradation of C3 compounds were significantly overrepresented after DMSP addition, likely reflecting the metabolism of the C3 component of DMSP. Mapping these transcripts to known biochemical pathways indicated that both acetyl-CoA and succinyl-CoA may be common entry points of this moiety into the tricarboxylic acid cycle. In a short time frame (30 min) in the extremely oligotrophic Sargasso Sea, different gene expression patterns suggest the use of DMSP by a diversity of marine bacterioplankton as both carbon and sulfur sources. The ISME Journal (2010) 4, 1410-1420; doi: 10.1038/ismej.2010.62; published online 13 May 2010
C1 [Vila-Costa, Maria; Rinta-Kanto, Johanna M.; Sun, Shulei; Sharma, Shalabh; Poretsky, Rachel; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Vila-Costa, Maria] Ctr Estudis Avancats Blanes CSIC, Dept Continental Ecol Limnol, Blanes, Catalunya, Spain.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Marine Sci Bldg, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR [Anonymous], MICROBIAL ECOLOGY OC
Ansede JH, 1999, APPL ENVIRON MICROB, V65, P5075
Ansede JH, 2001, APPL ENVIRON MICROB, V67, P3134, DOI 10.1128/AEM.67.7.3134-3139.2001
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
CHINLEO G, 1990, MAR ECOL PROG SER, V63, P1, DOI 10.3354/meps063001
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Dacey JWH, 1998, DEEP-SEA RES PT I, V45, P2085, DOI 10.1016/S0967-0637(98)00048-X
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Gilbert JA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003042
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Harada H, 2004, CAN J FISH AQUAT SCI, V61, P700, DOI 10.1139/F04-046
Hewson I, 2009, ISME J, V3, P1286, DOI 10.1038/ismej.2009.75
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Ingraham J.L., 1983, GROWTH BACTERIAL CEL
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2000, GEOCHIM COSMOCHIM AC, V64, P2797, DOI 10.1016/S0016-7037(00)00399-9
Kiene RP, 2006, LIMNOL OCEANOGR-METH, V4, P80, DOI 10.4319/lom.2006.4.80
KIENE RP, 1990, APPL ENVIRON MICROB, V56, P3292, DOI 10.1128/AEM.56.11.3292-3297.1990
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Ledyard KM, 1996, LIMNOL OCEANOGR, V41, P33, DOI 10.4319/lo.1996.41.1.0033
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
LOVELOCK JE, 1972, NATURE, V237, P452, DOI 10.1038/237452a0
Malmstrom RR, 2005, LIMNOL OCEANOGR, V50, P1924, DOI 10.4319/lo.2005.50.6.1924
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
McGillicuddy DJ, 1998, NATURE, V394, P263, DOI 10.1038/28367
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Poretsky RS, 2005, APPL ENVIRON MICROB, V71, P4121, DOI 10.1128/AEM.71.7.4121-4126.2005
Ramette A, 2009, ENV MICROBIOL REP, V1, P3, DOI 10.1111/j.1758-2229.2008.00010.x
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Saltzman E., 1989, ACS SYM SER, P167
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Simó R, 2009, AQUAT MICROB ECOL, V57, P43, DOI 10.3354/ame01325
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Tatusov RL, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-41
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1624, DOI 10.1111/j.1462-2920.2009.01919.x
Todd JD, 2007, SCIENCE, V315, P666, DOI 10.1126/science.1135370
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Vila-Costa M, 2008, LIMNOL OCEANOGR, V53, P198, DOI 10.4319/lo.2008.53.1.0198
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Yoch DC, 2002, APPL ENVIRON MICROB, V68, P5804, DOI 10.1128/AEM.68.12.5804-5815.2002
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 64
TC 55
Z9 63
PD NOV
PY 2010
VL 4
IS 11
BP 1410
EP 1420
DI 10.1038/ismej.2010.62
UT WOS:000285793700006
DA 2025-07-30
ER
PT J
AU Lu, XX
Sun, SL
Zhang, YQ
Hollibaugh, JT
Mou, XZ
AF Lu, Xinxin
Sun, Shulei
Zhang, Yu-Qin
Hollibaugh, James T.
Mou, Xiaozhen
TI Temporal and Vertical Distributions of Bacterioplankton at the Gray's
Reef National Marine Sanctuary
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Large spatial scales and long-term shifts of bacterial community composition (BCC) in the open ocean can often be reliably predicted based on the dynamics of physical-chemical variables. The power of abiotic factors in shaping BCC on shorter time scales in shallow estuarine mixing zones is less clear. We examined the diurnal variation in BCC at different water depths in the spring and fall of 2011 at a station in the Gray's Reef National Marine Sanctuary (GRNMS). This site is located in the transition zone between the estuarine plume and continental shelf waters of the South Atlantic Bight. A total of 234,516 pyrotag sequences of bacterial 16S rRNA genes were recovered; they were taxonomically affiliated with >200 families of 23 bacterial phyla. Nonmetric multidimensional scaling analysis revealed significant differences in BCC between spring and fall samples, likely due to seasonality in the concentrations of dissolved organic carbon and nitrate plus nitrite. Within each diurnal sampling, BCC differed significantly by depth only in the spring and differed significantly between day and night only in the fall. The former variation largely tracked changes in light availability, while the latter was most correlated with concentrations of polyamines and chlorophyll a. Our results suggest that at the GRNMS, a coastal mixing zone, diurnal variation in BCC is attributable to the mixing of local and imported bacterioplankton rather than to bacterial growth in response to environmental changes. Our results also indicate that, like members of the Roseobacter clade, SAR11 bacteria may play an important role in processing dissolved organic material in coastal oceans.
C1 [Lu, Xinxin; Zhang, Yu-Qin; Mou, Xiaozhen] Kent State Univ, Dept Biol Sci, Kent, OH 44242 USA.
[Sun, Shulei] Univ Calif San Diego, Ctr Adv Lab Med, La Jolla, CA 92093 USA.
[Hollibaugh, James T.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Zhang, Yu-Qin] Chinese Acad Med Sci, Peking Union Med Coll, Inst Med Biotechnol, Beijing 100730, Peoples R China.
RP Mou, XZ (corresponding author), Kent State Univ, Dept Biol Sci, Kent, OH 44242 USA.
EM xmou@kent.edu
CR Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], MULTIVARIATE ANAL EC
Bauer LJ, 2008, MAR POLLUT BULL, V56, P402, DOI 10.1016/j.marpolbul.2007.11.001
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CLARKE KR, 2001, CHANGE MARINE COMMUN
Clesceri L.S., 1999, Standard Methods for the examination of water and wastewater, V20th
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Friedline CJ, 2012, BIOGEOSCIENCES, V9, P2177, DOI 10.5194/bg-9-2177-2012
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015545
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Hahnke S, 2013, SYST APPL MICROBIOL, V36, P39, DOI 10.1016/j.syapm.2012.09.004
HOPKINSON CS, 1991, MAR ECOL PROG SER, V73, P105, DOI 10.3354/meps073105
Kunin V, 2010, ENVIRON MICROBIOL, V12, P118, DOI 10.1111/j.1462-2920.2009.02051.x
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Logares R, 2013, ISME J, V7, P937, DOI 10.1038/ismej.2012.168
Lu XX, 2014, MAR CHEM, V163, P36, DOI 10.1016/j.marchem.2014.04.004
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Oksanen J., 2007, Community Ecology Package, V10, P719
Olapade OA, 2012, MICROB ECOL, V63, P96, DOI 10.1007/s00248-011-9940-6
*ONMS, 2008, 2008 ONMS NAT OC ATM
Pernthaler A, 2005, APPL ENVIRON MICROB, V71, P4638, DOI 10.1128/AEM.71.8.4638-4644.2005
PINCKNEY J, 1991, MAR ECOL PROG SER, V76, P81, DOI 10.3354/meps076081
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Qian PY, 2011, ISME J, V5, P507, DOI 10.1038/ismej.2010.112
Scanlan DJ, 2002, FEMS MICROBIOL ECOL, V40, P1, DOI 10.1111/j.1574-6941.2002.tb00930.x
TETT P, 1975, LIMNOL OCEANOGR, V20, P887, DOI 10.4319/lo.1975.20.5.0887
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Turner S, 1999, J EUKARYOT MICROBIOL, V46, P327, DOI 10.1111/j.1550-7408.1999.tb04612.x
VOSSBRINCK CR, 1993, J EUKARYOT MICROBIOL, V40, P354, DOI 10.1111/j.1550-7408.1993.tb04928.x
Waterbury J.B., 1986, PHOTOSYNTHETIC PICOP, P71
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
Youssef NH, 2008, J MICROBIOL METH, V75, P86, DOI 10.1016/j.mimet.2008.05.009
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 40
TC 17
Z9 21
PD FEB
PY 2015
VL 81
IS 3
BP 910
EP 917
DI 10.1128/AEM.02802-14
UT WOS:000347914800012
DA 2025-07-30
ER
PT J
AU Davey, KE
Kirby, RR
Turley, CM
Weightman, AJ
Fry, JC
AF Davey, KE
Kirby, RR
Turley, CM
Weightman, AJ
Fry, JC
TI Depth variation of bacterial extracellular enzyme activity and
population diversity in the northeastern North Atlantic Ocean
SO DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
DT Article
AB Distinct profiles of extracellular proteolytic enzyme activity were observed in the water column of the North Atlantic, with maximum potential proteolytic activity occurring in the top 35 m. The proteolytic enzyme V(max) values varied significantly and decreased from 1.46 nM min(-1) in surface waters to 0.365 nM min(-1) at 100 m. In contrast, K(m) values increased with depth from about 70 to 360 muM. Cell-associated enzymes accounted for the majority of the observed proteolytic activity. Dissolved enzymes comprised only 30-40% of the total extracellular enzyme activity and exhibited a low substrate affinity (K(m) = similar to 1000 muM). These observations indicate clear stratification of bacterial associated extracellular enzyme activity, with the maximum activity in surface waters. This is consistent with some environmental changes in the water column, especially algal biomass and nitrate concentration. Bacterial mediated nitrogen remineralization in surface waters was approximately three times the total nitrogen demand of phytoplankton and bacteria. We determined bacterial population diversity using 16S rRNA sequence analysis and found evidence for stratification, with a higher representation of the Cytophaga/Flexibacter/Bacteriodes group at 5 m compared to 100 m. No similar stratification was observed among the alpha -proteobacterial SAR11 cluster, which were especially prevalent in the PRIME eddy. However, sequences phylogenetically related to another marine cluster, SAR122, were only observed at 100 m. We suggest that stratification of proteolytic activity within the water column may be explained at least in part, by differences in the composition of the bacterial community. (C) 2001 Elsevier Science Ltd. All rights reserved.
C1 Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
Cardiff Univ, Sch Pure & Appl Biol, Cardiff CF1 3TL, S Glam, Wales.
RP Davey, KE (corresponding author), Plymouth Marine Lab, Prospect Pl,The Hoe, Plymouth PL1 3DH, Devon, England.
CR AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Billen G., 1984, HETEROTROPHIC ACTIVI, P313
BOCHDANSKY AB, 1995, MAR ECOL PROG SER, V121, P53, DOI 10.3354/meps121053
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1313
CHROST RJ, 1991, BROCK SPR S, P29
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DELONG EF, 1994, NATURE, V71, P69
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FONTIGNY A, 1987, ESTUAR COAST SHELF S, V25, P127, DOI 10.1016/0272-7714(87)90030-8
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
GOLDMAN JC, 1987, LIMNOL OCEANOGR, V32, P1239, DOI 10.4319/lo.1987.32.6.1239
Gonzales T, 1996, FEMS MICROBIOL REV, V18, P319, DOI 10.1111/j.1574-6976.1996.tb00247.x
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
HASHIMOTO S, 1985, LIMNOL OCEANOGR, V30, P631, DOI 10.4319/lo.1985.30.3.0631
HOLLIBAUGH JT, 1983, LIMNOL OCEANOGR, V28, P1104, DOI 10.4319/lo.1983.28.6.1104
HOPKINSON CS, 1989, MAR ECOL PROG SER, V51, P155, DOI 10.3354/meps051155
HOPPE HG, 1991, BROCK SPR S, P60
HOPPE HG, 1983, MAR ECOL PROG SER, V11, P299, DOI 10.3354/meps011299
Hoppe HG, 1993, HDB METHODS AQUATIC, P423
JOINT IR, 2001, COMPARISONS PLANKTON
JUKES T H, 1969, P21
KARNER M, 1992, MAR BIOL, V113, P341
KARNER M, 1994, MAR ECOL PROG SER, V114, P237, DOI 10.3354/meps114237
LAMPITT RS, 1993, MAR BIOL, V116, P689, DOI 10.1007/BF00355486
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Law CS, 2001, DEEP-SEA RES PT II, V48, P705, DOI 10.1016/S0967-0645(00)00112-0
LEE S, 1990, APPL ENVIRON MICROB, V56, P739, DOI 10.1128/AEM.56.3.739-746.1990
LEE SH, 1991, LIMNOL OCEANOGR, V36, P1277, DOI 10.4319/lo.1991.36.7.1277
Long RA, 1996, AQUAT MICROB ECOL, V10, P213, DOI 10.3354/ame010213
Martinez J, 1996, AQUAT MICROB ECOL, V10, P223, DOI 10.3354/ame010223
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
NAGATA T, 1992, MAR ECOL PROG SER, V83, P233, DOI 10.3354/meps083233
PEARSON WR, 1988, P NATL ACAD SCI USA, V85, P2444, DOI 10.1073/pnas.85.8.2444
PORTER K, 1990, LIMNOL OCEANOGR, V25, P943
Priest F.G., 1984, EXTRACELLULAR ENZYME
Rappe MS, 1995, J PHYCOL, V31, P979, DOI 10.1111/j.0022-3646.1995.00979.x
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
RATH J, 1993, MAR ECOL PROG SER, V102, P89, DOI 10.3354/meps102089
Rees AP, 2001, DEEP-SEA RES PT II, V48, P859, DOI 10.1016/S0967-0645(00)00101-6
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
REICHENBACH H, 1992, PROKARYOTES HDB BIOL, V4
RILEY GA, 1970, ADV MAR BIOL, V8, P1
Rochelle P.A., 1995, NUCL ACIDS ENV METHO, P219
ROSSO AL, 1987, MAR ECOL PROG SER, V41, P231, DOI 10.3354/meps041231
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Sambrook J., 1989, MOL CLONING LAB MANU
SANGER F, 1977, P NATL ACAD SCI USA, V74, P5463, DOI 10.1073/pnas.74.12.5463
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Sharp J.H., 1983, NITROGEN MARINE ENV, P1
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
SOMVILLE M, 1983, LIMNOL OCEANOGR, V28, P190, DOI 10.4319/lo.1983.28.1.0190
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Tarran GA, 2001, DEEP-SEA RES PT II, V48, P963, DOI 10.1016/S0967-0645(00)00104-1
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Turley C.M., 1993, Handbook of Methods in Aquatic Microbial Ecology, P143
TURLEY CM, 1988, DEEP-SEA RES, V35, P1079, DOI 10.1016/0198-0149(88)90001-5
TURLEY CM, 1993, DEEP-SEA RES PT I, V40, P2193
TURLEY CM, 1994, MARINE ECOLOGY PROGR, V115, P192
VANDEPEER Y, 1994, COMPUT APPL BIOSCI, V10, P569
VIVESREGO J, 1985, MAR ECOL PROG SER, V21, P245
VOLGELSTEIN B, 1979, P NATL ACAD SCI USA, V76, P615
VRBA J, 1993, APPL ENVIRON MICROB, V59, P3091, DOI 10.1128/AEM.59.9.3091-3101.1993
Woodward EMS, 2001, DEEP-SEA RES PT II, V48, P775, DOI 10.1016/S0967-0645(00)00097-7
NR 66
TC 49
Z9 59
PY 2001
VL 48
IS 4-5
BP 1003
EP 1017
DI 10.1016/S0967-0645(00)00106-5
UT WOS:000166204500018
DA 2025-07-30
ER
PT J
AU Cerro-Gálvez, E
Dachs, J
Lundin, D
Fernández-Pinos, MC
Sebastián, M
Vila-Costa, M
AF Cerro-Galvez, Elena
Dachs, Jordi
Lundin, Daniel
Fernandez-Pinos, Maria-Carmen
Sebastian, Marta
Vila-Costa, Maria
TI Responses of Coastal Marine Microbiomes Exposed to Anthropogenic
Dissolved Organic Carbon
SO ENVIRONMENTAL SCIENCE & TECHNOLOGY
DT Article
AB Coastal seawaters receive thousands of organic pollutants. However, we have little understanding of the response of microbiomes to this pool of anthropogenic dissolved organic carbon (ADOC). In this study, coastal microbial communities were challenged with ADOC at environmentally relevant concentrations. Experiments were performed at two Mediterranean sites with different impact by pollutants and nutrients: off the Barcelona harbor ("BCN"), and at the Blanes Bay ("BL"). ADOC additions stimulated prokaryotic leucine incorporation rates at both sites, indicating the use of ADOC as growth substrate. The percentage of "membranecompromised" cells increased with increasing ADOC, indicating concurrent toxic effects of ADOC. Metagenomic analysis of the BCN community challenged with ADOC showed a significant growth of Methylophaga and other gammaproteobacterial taxa belonging to the rare biosphere. Gene expression profiles showed a taxon-dependent response, with significantly enrichments of transcripts from SAR11 and Glaciecola spp. in BCN and BL, respectively. Further, the relative abundance of transposon-related genes (in BCN) and transcripts (in BL) correlated with the number of differentially abundant genes (in BCN) and transcripts (in BLA), suggesting that microbial responses to pollution may be related to pre-exposure to pollutants, with transposons playing a role in adaptation to ADOC. Our results point to a taxon-specific response to low concentrations of ADOC that impact the functionality, structure and plasticity of the communities in coastal seawaters. This work contributes to address the influence of pollutants on microbiomes and their perturbation to ecosystem services and ocean health.
C1 [Cerro-Galvez, Elena; Dachs, Jordi; Fernandez-Pinos, Maria-Carmen; Vila-Costa, Maria] IDAEA CSIC, Dept Environm Chem, Catalunya 08034, Spain.
[Lundin, Daniel] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst, EEMiS, S-35195 Kalmar, Sweden.
[Sebastian, Marta] ICM CSIC, Dept Marine Biol & Oceanog, Catalunya 08003, Spain.
RP Vila-Costa, M (corresponding author), IDAEA CSIC, Dept Environm Chem, Catalunya 08034, Spain.
EM maria.vila@idaea.csic.es
CR AELION CM, 1989, ENVIRON TOXICOL CHEM, V8, P75, DOI 10.1002/etc.5620080109
Amos GCA, 2015, ISME J, V9, P1467, DOI 10.1038/ismej.2014.237
Arin L, 2013, ESTUAR COAST SHELF S, V133, P116, DOI 10.1016/lecss2013.08.018
Berendonk TU, 2015, NAT REV MICROBIOL, V13, P310, DOI 10.1038/nrmicro3439
Berrojalbiz N, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003775
Berrojalbiz N, 2011, ENVIRON SCI TECHNOL, V45, P4315, DOI 10.1021/es103742w
Birrer S.C., 2017, MICROBIAL ECOTOXICOL, P165, DOI [DOI 10.1007/978-3-319-61795-4_8, 10.1007/978-3-319-61795-4_8]
Boyd T.J., 2008, Microbial Ecology Research Trends, P1
Brazelton WJ, 2009, ISME J, V3, P1420, DOI 10.1038/ismej.2009.79
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Caruso G, 2016, CRIT REV MICROBIOL, V42, P883, DOI 10.3109/1040841X.2015.1087380
Casacuberta E, 2013, MOL ECOL, V22, P1503, DOI 10.1111/mec.12170
Castro-Jiménez J, 2013, ACS SYM SER, V1149, P231
Cavicchioli R, 2019, NAT REV MICROBIOL, V17, P569, DOI 10.1038/s41579-019-0222-5
Cerro-Gálvez E, 2019, SCI TOTAL ENVIRON, V678, P486, DOI 10.1016/j.scitotenv.2019.04.361
Cerro-Gálvez E, 2019, ENVIRON MICROBIOL, V21, P1466, DOI 10.1111/1462-2920.14580
Cravo-Laureau C, 2017, Microbial ecotoxicology, P45, DOI [10.1007/978-3-319-61795-4_4, DOI 10.1007/978-3-319-61795-4_4]
Cronin MTD, 2000, SAR QSAR ENVIRON RES, V11, P301, DOI 10.1080/10629360008033237
Dachs J, 1997, ENVIRON SCI TECHNOL, V31, P682, DOI 10.1021/es960233j
Dachs J, 2000, ENVIRON SCI TECHNOL, V34, P1095, DOI 10.1021/es990759e
Dachs J, 2010, ESTUAR COAST, V33, P1, DOI 10.1007/s12237-009-9255-8
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Dai TJ, 2020, ENVIRON POLLUT, V260, DOI 10.1016/j.envpol.2020.113971
de Madron XD, 2011, PROG OCEANOGR, V91, P97, DOI 10.1016/j.pocean.2011.02.003
Del Fabbro C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0085024
Dimont E, 2015, BIOINFORMATICS, V31, P2589, DOI 10.1093/bioinformatics/btv209
Echeveste P, 2016, SCI TOTAL ENVIRON, V571, P34, DOI 10.1016/j.scitotenv.2016.07.111
Echeveste P, 2010, CHEMOSPHERE, V81, P161, DOI 10.1016/j.chemosphere.2010.06.072
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
EHRHARDT M, 1993, MAR CHEM, V42, P57, DOI 10.1016/0304-4203(93)90249-N
Escher BI, 2017, ENVIRON SCI-PROC IMP, V19, P414, DOI 10.1039/c6em00692b
Falcioni T, 2008, APPL ENVIRON MICROB, V74, P1767, DOI 10.1128/AEM.01668-07
Fernández-Pinos MC, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-08425-9
Fourati R, 2018, PROG OCEANOGR, V163, P232, DOI 10.1016/j.pocean.2017.02.001
Frost LS, 2005, NAT REV MICROBIOL, V3, P722, DOI 10.1038/nrmicro1235
García-Flor N, 2005, MAR CHEM, V96, P331, DOI 10.1016/j.marchem.2005.01.005
García-Flor N, 2009, CHEMOSPHERE, V75, P1144, DOI 10.1016/j.chemosphere.2009.02.062
Gasol J.M., 2016, HYDROCARBON LIPID MI, P159, DOI DOI 10.1007/86232015139
Gasol J. M., 2012, ICES PHYTOPLANKTON M, P138
Ghosal D, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01369
Gillings MR, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00004
Gioia R, 2012, FRONT ECOL ENVIRON, V10, P405, DOI 10.1890/12.WB.017
Gonzalez ~, 2016, Stress and Environmental Regulation of Gene Expression and Adaptation in Bacteria, P137, DOI DOI 10.1002/9781119
González-Gaya B, 2016, NAT GEOSCI, V9, P438, DOI [10.1038/NGEO2714, 10.1038/ngeo2714]
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
Greenwood PF, 2009, ORG GEOCHEM, V40, P293, DOI 10.1016/j.orggeochem.2008.12.009
Guigue C, 2014, SCI TOTAL ENVIRON, V466, P650, DOI 10.1016/j.scitotenv.2013.07.082
Guigue C, 2011, MAR POLLUT BULL, V62, P2741, DOI 10.1016/j.marpolbul.2011.09.013
Hacker J, 2001, EMBO REP, V2, P376, DOI 10.1093/embo-reports/kve097
Haritash AK, 2009, J HAZARD MATER, V169, P1, DOI 10.1016/j.jhazmat.2009.03.137
Hazen TC, 2010, SCIENCE, V330, P204, DOI 10.1126/science.1195979
Head IM, 2006, NAT REV MICROBIOL, V4, P173, DOI 10.1038/nrmicro1348
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Jones KC, 1999, ENVIRON POLLUT, V100, P209, DOI 10.1016/S0269-7491(99)00098-6
Joye S, 2018, CELL, V172, P1336, DOI 10.1016/j.cell.2018.02.059
Joye SB, 2016, OCEANOGRAPHY, V29, P136, DOI 10.5670/oceanog.2016.78
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kleindienst S, 2016, ISME J, V10, P400, DOI 10.1038/ismej.2015.121
Knelman JE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102609
Kostka JE, 2011, APPL ENVIRON MICROB, V77, P7962, DOI 10.1128/AEM.05402-11
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lekunberri I, 2018, ENVIRON POLLUT, V234, P538, DOI 10.1016/j.envpol.2017.12.001
MARTY JC, 1976, DEEP-SEA RES, V23, P863, DOI 10.1016/0011-7471(76)90853-6
Mason OU, 2012, ISME J, V6, P1715, DOI 10.1038/ismej.2012.59
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Megharaj M, 2011, ENVIRON INT, V37, P1362, DOI 10.1016/j.envint.2011.06.003
Mishamandani S, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00076
Mitchell AM, 2019, NAT REV MICROBIOL, V17, P417, DOI 10.1038/s41579-019-0199-0
Moran MA, 2013, ISME J, V7, P237, DOI 10.1038/ismej.2012.94
Muir DCG, 2006, ENVIRON SCI TECHNOL, V40, P7157, DOI 10.1021/es061677a
Müller TA, 2003, ENVIRON MICROBIOL, V5, P163, DOI 10.1046/j.1462-2920.2003.00400.x
Ojo O. A., 2007, Biotechnology and Molecular Biology Reviews, V2, P001
Okere UV, 2017, INT BIODETER BIODEGR, V125, P189, DOI 10.1016/j.ibiod.2017.09.013
Oksanen J., 2011, vegan: Community Ecology Package. R Package Version 1.17-4
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Rizzuto S, 2020, ENVIRON SCI TECHNOL, V54, P5569, DOI 10.1021/acs.est.0c00548
Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
Rodríguez-Blanco A, 2010, ENVIRON POLLUT, V158, P663, DOI 10.1016/j.envpol.2009.10.026
Sala MM, 2002, AQUAT MICROB ECOL, V27, P47, DOI 10.3354/ame027047
Sánchez-Avila J, 2012, ENVIRON INT, V46, P50, DOI 10.1016/j.envint.2012.04.013
Satinsky BM, 2013, USE INTERNAL STANDAR
Sauret C, 2014, ENVIRON POLLUT, V194, P246, DOI 10.1016/j.envpol.2014.07.024
Sauvé S, 2014, CHEM CENT J, V8, DOI 10.1186/1752-153X-8-15
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Sieracki ME, 1999, APPL ENVIRON MICROB, V65, P2409
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Subirats J, 2018, WATER RES, V138, P77, DOI 10.1016/j.watres.2018.03.025
Sun S, 2019, SOIL BIOL BIOCHEM, V135, P163, DOI 10.1016/j.soilbio.2019.05.004
Teira E, 2007, ENVIRON MICROBIOL, V9, P2551, DOI 10.1111/j.1462-2920.2007.01373.x
Tolosa I, 1996, ENVIRON SCI TECHNOL, V30, P2495, DOI 10.1021/es950647x
Top EM, 2003, CURR OPIN BIOTECH, V14, P262, DOI 10.1016/S0958-1669(03)00066-1
Tsapakis M, 2006, ENVIRON SCI TECHNOL, V40, P4922, DOI 10.1021/es060487x
VAN WEZEL A, 1995, CRIT REV TOXICOL, V25, P255, DOI 10.3109/10408449509089890
Vigil-Stenman T, 2017, ISME J, V11, P2611, DOI 10.1038/ismej.2017.114
Vila-Costa M, 2020, ISME J, V14, P2646, DOI 10.1038/s41396-020-0712-5
Vila-Costa M, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-36635-2
White HK, 2013, ENVIRON SCI TECHNOL, V47, P726, DOI 10.1021/es3042065
Wickham H., 2019, J OPEN SOURCE SOFTWA, V4, P1686, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
Winderl C, 2007, ENVIRON MICROBIOL, V9, P1035, DOI 10.1111/j.1462-2920.2006.01230.x
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 102
TC 18
Z9 21
PD JUL 20
PY 2021
VL 55
IS 14
SI SI
BP 9609
EP 9621
DI 10.1021/acs.est.0c07262
EA FEB 2021
UT WOS:000677482500023
DA 2025-07-30
ER
PT J
AU Clifford, EL
De Corte, D
Amano, C
Paliaga, P
Ivancic, I
Ortiz, V
Najdek, M
Herndl, GJ
Sintes, E
AF Clifford, Elisabeth L.
De Corte, Daniele
Amano, Chie
Paliaga, Paolo
Ivancic, Ingrid
Ortiz, Victor
Najdek, Mirjana
Herndl, Gerhard J.
Sintes, Eva
TI Mesozooplankton taurine production and prokaryotic uptake in the
northern Adriatic Sea
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Dissolved free taurine, an important osmolyte in phytoplankton and metazoans, has been shown to be a significant carbon and energy source for prokaryotes in the North Atlantic throughout the water column. However, the extent of the coupling between taurine production and consumption over a seasonal cycle has not been examined yet. We determined taurine production by abundant crustacean zooplankton and its role as a carbon and energy source for several prokaryotic taxa in the northern Adriatic Sea over a seasonal cycle. Taurine concentrations were generally in the low nanomolar range, reaching a maximum of 22 nmol L(-1)in fall during aPseudonitzschiabloom and coinciding with the highest zooplankton taurine release rates. Taurine accounted for up to 5% of the carbon, 11% of the nitrogen, and up to 71% of the sulfur requirements of heterotrophic prokaryotes. Members of theRoseobacterclade,Alteromonas, Thaumarchaeota, and Euryarchaeota exhibited higher cell-specific taurine assimilation rates than SAR11 cells. However, cell-specific taurine and leucine assimilation were highly variable in all taxa, suggesting species and/or ecotype specific utilization patterns of taurine and dissolved free amino acids. Copepods were able to cover the bulk taurine requirements of the prokaryotic communities in fall and winter and partly in the spring-summer period. Overall, our study emphasizes the significance of taurine as a carbon and energy source for the prokaryotic community in the northern Adriatic Sea and the importance of crustacean zooplankton as a significant source of taurine and other organic compounds for the heterotrophic prokaryotic community.
C1 [Clifford, Elisabeth L.; Amano, Chie; Ortiz, Victor; Herndl, Gerhard J.; Sintes, Eva] Univ Vienna, Dept Funct & Evolutionary Ecol, Vienna, Austria.
[De Corte, Daniele] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Res & Dev Ctr Marine Biosci, Yokosuka, Kanagawa, Japan.
[Paliaga, Paolo] Juraj Dobrila Univ Pula, Dept Nat & Hlth Sci, Pula, Croatia.
[Ivancic, Ingrid; Najdek, Mirjana] Rudjer Boskovic Inst, Ctr Marine Res, Rovinj, Croatia.
[Herndl, Gerhard J.] Univ Utrecht, Royal Netherlands Inst Sea Res NIOZ, Dept Marine Microbiol & Biogeochem, Den Burg, Netherlands.
[Sintes, Eva] Inst Espanol Oceanog IEO, Ctr Oceanog Baleares, Palma De Mallorca, Spain.
RP Sintes, E (corresponding author), Univ Vienna, Dept Funct & Evolutionary Ecol, Vienna, Austria.; Sintes, E (corresponding author), Inst Espanol Oceanog IEO, Ctr Oceanog Baleares, Palma De Mallorca, Spain.
EM eva.sintes@ieo.es
CR ALLEN JA, 1971, ADV MAR BIOL, V9, P205, DOI 10.1016/S0065-2881(08)60343-0
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
BAYNE BL, 1977, J MAR BIOL ASSOC UK, V57, P355, DOI 10.1017/S0025315400021809
Beers J. R, 1970, Bull. Scripps Instn Oceanogr. tech. Ser., V17, P67
Behrenfeld MJ, 1997, LIMNOL OCEANOGR, V42, P1, DOI 10.4319/lo.1997.42.1.0001
Brussaard CPD, 2004, J EUKARYOT MICROBIOL, V51, P125, DOI 10.1111/j.1550-7408.2004.tb00537.x
Chien CC, 1999, FEMS MICROBIOL LETT, V176, P333, DOI 10.1111/j.1574-6968.1999.tb13680.x
Choi DH, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy134
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
Clifford EL, 2017, LIMNOL OCEANOGR, V62, P2745, DOI 10.1002/lno.10603
Cook AM, 2006, ADV EXP MED BIOL, V583, P3
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Damashek J, 2019, LIMNOL OCEANOGR, V64, P982, DOI 10.1002/lno.11089
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Fagerbakke KM, 1996, AQUAT MICROB ECOL, V10, P15, DOI 10.3354/ame010015
Frangoulis C, 2005, ADV MAR BIOL, V47, P253
Giani M, 2012, ESTUAR COAST SHELF S, V115, P1, DOI 10.1016/j.ecss.2012.08.023
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Hall Robert O. Jr., 2007, P286, DOI 10.1017/CBO9780511611223.016
Hanson BT, 2014, MICROB ECOL, V67, P520, DOI 10.1007/s00248-013-0346-5
HOBBIE JE, 1969, LIMNOL OCEANOGR, V14, P528, DOI 10.4319/lo.1969.14.4.0528
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Hyslop NP, 2009, J AIR WASTE MANAGE, V59, P1032, DOI 10.3155/1047-3289.59.9.1032
Ivancic I, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy198
JACKSON AE, 1992, CAN J BOT, V70, P2198, DOI 10.1139/b92-272
Kamburska L, 2006, CLIM RES, V31, P195, DOI 10.3354/cr031195
Kiene RP, 1999, APPL ENVIRON MICROB, V65, P4549
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kraus R, 2016, OCEAN SCI, V12, P19, DOI 10.5194/os-12-19-2016
KROER N, 1994, APPL ENVIRON MICROB, V60, P4116, DOI 10.1128/AEM.60.11.4116-4123.1994
La Ferla R, 2005, MAR ECOL-EVOL PERSP, V26, P82, DOI 10.1111/j.1439-0485.2005.00049.x
Landa M, 2019, ISME J, V13, P2536, DOI 10.1038/s41396-019-0455-3
LAWRENCE SG, 1987, CAN J FISH AQUAT SCI, V44, P264, DOI 10.1139/f87-301
Lenk S, 2012, ISME J, V6, P2178, DOI 10.1038/ismej.2012.66
Li DX, 2018, ENVIRON MICROBIOL, V20, P632, DOI 10.1111/1462-2920.13986
LOOMIS SH, 1988, BIOCHIM BIOPHYS ACTA, V943, P113, DOI 10.1016/0005-2736(88)90542-1
Lu XX, 2014, MAR CHEM, V163, P36, DOI 10.1016/j.marchem.2014.04.004
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Maric D, 2011, ESTUAR COAST SHELF S, V92, P323, DOI 10.1016/j.ecss.2011.01.002
Mozetic P, 2010, ESTUAR COAST, V33, P362, DOI 10.1007/s12237-009-9191-7
MULLERNIKLAS G, 1994, LIMNOL OCEANOGR, V39, P58
NASA Goddard Space Flight Center O. E. L. Ocean Biology Processing Group, 2018, MOD RES IM SPECTR MO
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nikrad MP, 2012, APPL ENVIRON MICROB, V78, P2402, DOI 10.1128/AEM.07130-11
Orellana LH, 2019, ISME J, V13, P3024, DOI 10.1038/s41396-019-0491-z
Ouverney CC, 2000, APPL ENVIRON MICROB, V66, P4829, DOI 10.1128/AEM.66.11.4829-4833.2000
Paoli A, 2006, J PLANKTON RES, V28, P325, DOI 10.1093/plankt/fbi116
Park JR, 2007, INT J SYST EVOL MICR, V57, P692, DOI 10.1099/ijs.0.64267-0
Pereira O, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.852
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ribeiro CGE, 2016, LIMNOL OCEANOGR-METH, V14, P750, DOI 10.1002/lom3.10135
Saba GK, 2011, HARMFUL ALGAE, V10, P291, DOI 10.1016/j.hal.2010.11.003
Saba GK, 2009, MAR ECOL PROG SER, V386, P147, DOI 10.3354/meps08070
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Sauder LA, 2017, ISME J, V11, P1142, DOI 10.1038/ismej.2016.192
Schlitzer R., 2018, OCEAN DATA VIEW
Silovic T, 2012, FEMS MICROBIOL ECOL, V82, P678, DOI 10.1111/j.1574-6941.2012.01438.x
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Simó R, 2009, AQUAT MICROB ECOL, V57, P43, DOI 10.3354/ame01325
Simon M, 2017, ISME J, V11, P1483, DOI 10.1038/ismej.2016.198
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Solidoro C, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003553
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Steiner PA, 2019, ENV MICROBIOL REP, V11, P699, DOI 10.1111/1758-2229.12783
Strickland H. J. D., 1972, FISHERIES RES BOARD, V167, P1
Sun Y, 2017, ENVIRON MICROBIOL, V19, P1625, DOI 10.1111/1462-2920.13683
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Tevatia R, 2015, ALGAL RES, V9, P21, DOI 10.1016/j.algal.2015.02.012
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Valdés V, 2018, BIOGEOSCIENCES, V15, P6019, DOI 10.5194/bg-15-6019-2018
Valdés V, 2018, LIMNOL OCEANOGR, V63, P278, DOI 10.1002/lno.10629
Valdés VP, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00343
VERITY P G, 1985, Biological Oceanography, V3, P249
Veuger B, 2013, BIOGEOSCIENCES, V10, P1775, DOI 10.5194/bg-10-1775-2013
Vukanic V, 2018, FRESEN ENVIRON BULL, V27, P7209
Williams TJ, 2014, TRENDS MICROBIOL, V22, P248, DOI 10.1016/j.tim.2014.03.004
Worden AZ, 2000, APPL ENVIRON MICROB, V66, P284, DOI 10.1128/AEM.66.1.284-289.2000
Yancey PH, 2005, J EXP BIOL, V208, P2819, DOI 10.1242/jeb.01730
NR 81
TC 7
Z9 9
PD NOV
PY 2020
VL 65
IS 11
BP 2730
EP 2747
DI 10.1002/lno.11544
EA JUN 2020
UT WOS:000542820900001
DA 2025-07-30
ER
PT J
AU Obeid, K
Kanellopoulos, P
Abouzayed, A
Mattsson, A
Tolmachev, V
Nock, BA
Maina, T
Orlova, A
AF Obeid, Karim
Kanellopoulos, Panagiotis
Abouzayed, Ayman
Mattsson, Adam
Tolmachev, Vladimir
Nock, Berthold A.
Maina, Theodosia
Orlova, Anna
TI GRPR-Antagonists Carrying DOTAGA-Chelator via Positively Charged
Linkers: Perspectives for Prostate Cancer Theranostics
SO PHARMACEUTICS
DT Article
AB Gastrin-releasing peptide receptor (GRPR)-antagonists have served as motifs in the development of theranostic radioligands for prostate cancer. Our efforts have been focused on the development of radiolabeled RM26 (H-DPhe6-Gln7-Trp8-Ala9-Val10-Gly11-His12-Sta13-Leu14-NH2) analogs, such as [111In]In-DOTAGA-PEG2-RM26. We recently showed that its Gly11/Sar11-substituted version, [111In]In-AU-RM26-M1, resisted degradation by neprilysin (NEP) while in circulation and achieved higher tumor uptake in mice. We herein introduce the following three new AU-RM26-M1 mimics labeled with In-111, with basic residues in the linker: (i) AU-RM26-M2 (PEG2-Pip), (ii) AU-RM26-M3 (PEG2-Arg), and (iii) AU-RM26-M4 (Arg-Arg-Pip). These analogs were compared in PC-3 cells and animal models vs. AU-RM26-M1 (reference). The new analogs showed high affinity and specificity for the GRPR, exhibiting an uptake and distribution pattern in PC-3 cells typical for a radiolabeled GRPR-antagonist. They showed high stability in peripheral mice blood, except for [111In]In-AU-RM26-M3. AU-RM26-M4 achieved the highest tumor uptake and promising background clearance, followed by [111In]In-RM26-M2, showing lower background levels. These findings were confirmed for [111In]In-AU-RM26-M2 and [111In]In-AU-RM26-M4 by micro-SPECT/CT at 4 and 24 h post-injection. Hence, the type of positively charged residues in the linker of AU-RM26-M1 mimics strongly influenced biological behavior. The analogs with Pip next to DPhe6 demonstrated the best overall characteristics and warrant further investigation.
C1 [Obeid, Karim; Kanellopoulos, Panagiotis; Abouzayed, Ayman; Mattsson, Adam; Orlova, Anna] Uppsala Univ, Dept Med Chem, S-75183 Uppsala, Sweden.
[Kanellopoulos, Panagiotis; Nock, Berthold A.; Maina, Theodosia] NCSR Demokritos, Mol Radiopharm, INRaSTES, Athens 15341, Greece.
[Tolmachev, Vladimir] Uppsala Univ, Dept Immunol Genet & Pathol, S-75183 Uppsala, Sweden.
[Orlova, Anna] Uppsala Univ, Sci Life Lab, Uppsala, Sweden.
RP Orlova, A (corresponding author), Uppsala Univ, Dept Med Chem, S-75183 Uppsala, Sweden.; Orlova, A (corresponding author), Uppsala Univ, Sci Life Lab, Uppsala, Sweden.
EM karim.obeid.1838@student.uu.se; panagiotis.kanellopoulos@ilk.uu.se;
ayman.abouzayed@ilk.uu.se; adam.mattsson.4918@student.uu.se;
vladimir.tolmachev@igp.uu.se; nock_berthold.a@hotmail.com;
maina_thea@hotmail.com; anna.orlova@ilk.uu.se
CR Aboagye EO, 2023, CA-CANCER J CLIN, V73, P255, DOI 10.3322/caac.21768
Abouzayed A, 2023, BIOMOLECULES, V13, DOI 10.3390/biom13071134
Adessi C, 2002, CURR MED CHEM, V9, P963, DOI 10.2174/0929867024606731
Ananias HJK, 2009, PROSTATE, V69, P1101, DOI 10.1002/pros.20957
Ayalasomayajula S, 2017, CLIN PHARMACOKINET, V56, P1461, DOI 10.1007/s40262-017-0543-3
Azay J, 1998, PEPTIDES, V19, P57, DOI 10.1016/S0196-9781(97)00275-1
Baratto L, 2021, J NUCL MED, V62, P1545, DOI 10.2967/jnumed.120.259630
Baun C, 2024, SEMIN NUCL MED, V54, P256, DOI 10.1053/j.semnuclmed.2024.01.004
Beer M, 2012, PROSTATE, V72, P318, DOI 10.1002/pros.21434
Bodei L, 2022, NAT REV CLIN ONCOL, V19, P534, DOI 10.1038/s41571-022-00652-y
Chatalic KLS, 2015, J NUCL MED, V56, P1809, DOI 10.2967/jnumed.115.161158
deCastiglione R, 1996, CRIT REV ONCOL HEMAT, V24, P117, DOI 10.1016/1040-8428(96)00220-X
Erak M, 2018, BIOORGAN MED CHEM, V26, P2759, DOI 10.1016/j.bmc.2018.01.012
Fani M, 2011, J NUCL MED, V52, P1110, DOI 10.2967/jnumed.111.087999
Fanti S, 2022, EUR UROL ONCOL, V5, P530, DOI 10.1016/j.euo.2022.05.003
Gandaglia G, 2021, EUR UROL ONCOL, V4, P877, DOI 10.1016/j.euo.2021.09.006
Gotthardt M, 2007, J NUCL MED, V48, P596, DOI 10.2967/jnumed.106.036020
Gu J, 2010, J CLIN PHARMACOL, V50, P401, DOI 10.1177/0091270009343932
Gugger M, 1999, AM J PATHOL, V155, P2067, DOI 10.1016/S0002-9440(10)65525-3
Jensen RT, 2008, PHARMACOL REV, V60, P1, DOI 10.1124/pr.107.07108
Kanellopoulos P, 2020, PHARMACEUTICS, V12, DOI 10.3390/pharmaceutics12121145
Körner M, 2014, PROSTATE, V74, P217, DOI 10.1002/pros.22743
Maina T, 2017, PET CLIN, V12, P297, DOI 10.1016/j.cpet.2017.02.007
Mansi R, 2021, CANCERS, V13, DOI 10.3390/cancers13225766
Mansi R, 2011, EUR J NUCL MED MOL I, V38, P97, DOI 10.1007/s00259-010-1596-9
Markwalder R, 1999, CANCER RES, V59, P1152
Minamimoto R, 2018, J NUCL MED, V59, P803, DOI 10.2967/jnumed.117.197624
Mitran B, 2019, INT J CANCER, V145, P3347, DOI 10.1002/ijc.32401
Morgat C, 2017, J NUCL MED, V58, P1401, DOI 10.2967/jnumed.116.188011
Nock BA, 2023, PHARMACEUTICALS-BASE, V16, DOI 10.3390/ph16050674
Nock BA, 2014, J NUCL MED, V55, P121, DOI 10.2967/jnumed.113.129411
Price EW, 2014, CHEM SOC REV, V43, P260, DOI 10.1039/c3cs60304k
REILE H, 1994, PROSTATE, V25, P29, DOI 10.1002/pros.2990250105
Reubi JC, 2004, EUR J NUCL MED MOL I, V31, P803, DOI 10.1007/s00259-004-1476-2
Reubi JC, 2002, CLIN CANCER RES, V8, P1139
ROQUES BP, 1993, BIOCHEM SOC T, V21, P678, DOI 10.1042/bst0210678
ROQUES BP, 1993, PHARMACOL REV, V45, P87
Schreck MV, 2023, MOL PHARMACEUT, V20, P6463, DOI 10.1021/acs.molpharmaceut.3c00852
Sung H, 2021, CA-CANCER J CLIN, V71, P209, DOI 10.3322/caac.21660
Timmis A, 2014, NEW ENGL J MED, V371, P2336, DOI 10.1056/NEJMc1412654
Vlieghe P, 2010, DRUG DISCOV TODAY, V15, P40, DOI 10.1016/j.drudis.2009.10.009
NR 41
TC 4
Z9 4
PD APR
PY 2024
VL 16
IS 4
AR 513
DI 10.3390/pharmaceutics16040513
UT WOS:001210289800001
DA 2025-07-30
ER
PT J
AU Riemann, L
Steward, GF
Fandino, LB
Campbell, L
Landry, MR
Azam, F
AF Riemann, L
Steward, GF
Fandino, LB
Campbell, L
Landry, MR
Azam, F
TI Bacterial community composition during two consecutive NE Monsoon
periods in the Arabian Sea studied by denaturing gradient gel
electrophoresis (DGGE) of rRNA genes
SO DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
DT Article
AB Horizontal and vertical variations in bacterial community composition were examined in samples collected during two Joint Global Ocean Flux Study (JGOFS) Arabian Sea cruises in 1995, The cruises, 11 months apart, took place during two consecutive NE Monsoon periods (January and December). Bacteria were harvested by filtration from samples collected in the mixed layer, mid-water, and deep sea at stations across the study area, Total bacterial community genomic DNA was analyzed by PCR amplification of 16S rRNA gene fragments, followed by denaturing gradient gel electrophoresis (DGGE). In total, 20 DGGE bands reflecting unique or varying phylotypes were excised, cloned and sequenced. Amplicons were dominated by bacterial groups commonly found in oceanic waters (e.g,, the SAR11 cluster of alpha-Proteobacteria and cyanobacteria), but surprisingly none of the sequenced amplicons were related to gamma-Proteobacteria or to members of the Cytophaga-Flavobacter-Bacteroides phylum, Amplicons related to magnetotactic bacteria were found for the first time in pelagic oceanic waters. The DGGE banding patterns revealed a dominance of approximate to 15 distinguishable amplicons in all samples. In the mixed layer the bacterial community was dominated by the same approximate to 15 phylotypes at all stations, but unique phylotypes were found with increasing depth. Except for cyanobacteria, comparison of the bacterial community composition in surface waters from January and December 1995 showed only minor differences, despite significant differences in environmental parameters. These data suggest a horizontal homogeneity and some degree of seasonal predictability of bacterial community composition in the Arabian Sea. (C) 1999 Elsevier Science Ltd. All rights reserved.
C1 Univ Calif San Diego, Scripps Inst Oceanog, Div Marine Biol Res, La Jolla, CA 92093 USA.
Texas A&M Univ, Dept Oceanog, College Stn, TX 77843 USA.
Univ Hawaii Manoa, Dept Oceanog, Honolulu, HI 96822 USA.
RP Univ Copenhagen, Freshwater Biol Lab, 51 Helsingorsgade, DK-3400 Hillerod, Denmark.
EM bkb9457@vip.cybercity.dk
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
[Anonymous], 1993, PHYLIP: phylogenetic inference package
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
BAZYLINSKI DA, 1983, APPL ENVIRON MICROB, V46, P1118, DOI 10.1128/AEM.46.5.1118-1124.1983
BAZYLINSKI DA, 1995, APPL ENVIRON MICROB, V61, P3232, DOI 10.1128/AEM.61.9.3232-3239.1995
Benlloch S, 1995, FEMS MICROBIOL ECOL, V18, P267
Bowman JP, 1997, APPL ENVIRON MICROB, V63, P3068, DOI 10.1128/AEM.63.8.3068-3078.1997
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Campbell L, 1998, DEEP-SEA RES PT II, V45, P2301, DOI 10.1016/S0967-0645(98)00072-1
CHO BC, 1990, MAR ECOL PROG SER, V63, P253, DOI 10.3354/meps063253
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DON RH, 1991, NUCLEIC ACIDS RES, V19, P4008, DOI 10.1093/nar/19.14.4008
FANDINO LB, 1998, AM GEOPHYSICAL UNION, V79, pOS63
FARRELLY V, 1995, APPL ENVIRON MICROB, V61, P2798, DOI 10.1128/AEM.61.7.2798-2801.1995
FERNANDEZ E, 1993, PCR METH APPL, V3, P122
Ferris MJ, 1997, APPL ENVIRON MICROB, V63, P1375, DOI 10.1128/AEM.63.4.1375-1381.1997
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN J, 1992, ENVIR SCI R, V43, P361
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
HOFLE MG, 1995, LIMNOL OCEANOGR, V40, P868
KOPCZYNSKI ED, 1994, APPL ENVIRON MICROB, V60, P746, DOI 10.1128/AEM.60.2.746-748.1994
Kowalchuk GA, 1997, APPL ENVIRON MICROB, V63, P1489, DOI 10.1128/AEM.63.4.1489-1497.1997
LEE SH, 1991, MAR ECOL PROG SER, V79, P195, DOI 10.3354/meps079195
Maidak BL, 1997, NUCLEIC ACIDS RES, V25, P109, DOI 10.1093/nar/25.1.109
Martinez J, 1996, AQUAT MICROB ECOL, V10, P223, DOI 10.3354/ame010223
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
NAQVI SWA, 1994, P INDIAN AS-EARTH, V103, P279
NEEFS JM, 1990, NUCLEIC ACIDS RES, V18, P2237, DOI 10.1093/nar/18.suppl.2237
Ovreas L, 1997, APPL ENVIRON MICROB, V63, P3367
Page RDM, 1996, COMPUT APPL BIOSCI, V12, P357
Pinhassi J, 1997, APPL ENVIRON MICROB, V63, P3359, DOI 10.1128/AEM.63.9.3359-3366.1997
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
Rappé MS, 1998, APPL ENVIRON MICROB, V64, P294
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
REYSENBACH AL, 1992, APPL ENVIRON MICROB, V58, P3417, DOI 10.1128/AEM.58.10.3417-3418.1992
ROBISONCOX JF, 1995, APPL ENVIRON MICROB, V61, P1240, DOI 10.1128/AEM.61.4.1240-1245.1995
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
SHEFFIELD VC, 1989, P NATL ACAD SCI USA, V86, P232, DOI 10.1073/pnas.86.1.232
SILVER M W, 1986, Canadian Bulletin of Fisheries and Aquatic Sciences, P311
SILVER MW, 1981, J MAR RES, V39, P501
SIMON M, 1992, MAR ECOL PROG SER, V86, P103, DOI 10.3354/meps086103
Smith SL, 1998, DEEP-SEA RES PT II, V45, P1905, DOI 10.1016/S0967-0645(98)00058-7
SNEATH PHA, 1993, INT J SYST BACTERIOL, V43, P626, DOI 10.1099/00207713-43-3-626
SPRING S, 1992, SYST APPL MICROBIOL, V15, P116, DOI 10.1016/S0723-2020(11)80147-5
STACKEBRANDT E, 1993, FASEB J, V7, P232, DOI 10.1096/fasebj.7.1.8422969
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Teske A, 1996, APPL ENVIRON MICROB, V62, P1405, DOI 10.1128/AEM.62.4.1405-1415.1996
Wang GCY, 1997, APPL ENVIRON MICROB, V63, P4645, DOI 10.1128/AEM.63.12.4645-4650.1997
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
NR 63
TC 110
Z9 129
PY 1999
VL 46
IS 8-9
BP 1791
EP 1811
DI 10.1016/S0967-0645(99)00044-2
UT WOS:000081781000011
DA 2025-07-30
ER
PT J
AU Sun, MQ
Zhan, YC
Marsan, D
Páez-Espino, D
Cai, LL
Chen, F
AF Sun, Mengqi
Zhan, Yuanchao
Marsan, David
Paez-Espino, David
Cai, Lanlan
Chen, Feng
TI Uncultivated Viral Populations Dominate Estuarine Viromes on the
Spatiotemporal Scale
SO MSYSTEMS
DT Article
AB Viruses are ubiquitous and abundant in the oceans, and viral metagenomes (viromes) have been investigated extensively via several large-scale ocean sequencing projects. However, there have not been any systematic viromic studies in estuaries. Here, we investigated the viromes of the Delaware Bay and Chesapeake Bay, two Mid-Atlantic estuaries. Deep sequencing generated a total of 48,190 assembled viral sequences (>5 kb) and 26,487 viral populations (9,204 virus clusters and 17,845 singletons), including 319 circular viral contigs between 7.5 kb and 161.8 kb. Unknown viruses represented the vast majority of the dominant populations, while the composition of known viruses, such as pelagiphage and cyanophage, appeared to be relatively consistent across a wide range of salinity gradients and in different seasons. A difference between estuarine and ocean viromes was reflected by the proportions of Myoviridae, Podoviridae, Siphoviridae, Phycodnaviridae, and a few well-studied virus representatives. The difference in viral community between the Delaware Bay and Chesapeake Bay is significantly more pronounced than the difference caused by temperature or salinity, indicating strong local profiles caused by the unique ecology of each estuary. Interestingly, a viral contig similar to phages infecting Acinetobacter baumannii ("Iraqibacter") was found to be highly abundant in the Delaware Bay but not in the Chesapeake Bay, the source of which is yet to be identified. Highly abundant viruses in both estuaries have close hits to viral sequences derived from the marine single-cell genomes or long-read single-molecule sequencing, suggesting that important viruses are still waiting to be discovered in the estuarine environment.
IMPORTANCE This is the first systematic study about spatial and temporal variation of virioplankton communities in estuaries using deep metagenomics sequencing. It is among the highest-quality viromic data sets to date, showing remarkably consistent sequencing depth and quality across samples. Our results indicate that there exists a large pool of abundant and diverse viruses in estuaries that have not yet been cultivated, their genomes only available thanks to single-cell genomics or single -molecule sequencing, demonstrating the importance of these methods for viral discovery. The spatiotemporal pattern of these abundant uncultivated viruses is more variable than that of cultured viruses. Despite strong environmental gradients, season and location had surprisingly little impact on the viral community within an estuary, but we saw a significant distinction between the two estuaries and also between estuarine and open ocean viromes.
C1 [Sun, Mengqi; Zhan, Yuanchao; Marsan, David; Chen, Feng] Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, Baltimore, MD 21201 USA.
[Paez-Espino, David] Joint Genome Inst, Dept Energy, Berkeley, CA USA.
[Paez-Espino, David] Mammoth Biosci Inc, San Francisco, CA USA.
[Cai, Lanlan] Xiamen Univ Xiangan, Inst Marine Microbes & Ecospheres, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
RP Chen, F (corresponding author), Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, Baltimore, MD 21201 USA.
EM chenf@umces.edu
CR Allen LZ, 2017, MSYSTEMS, V2, DOI 10.1128/mSystems.00125-16
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Amante C., 2009, NOAA TECHNICAL MEMOR, P19
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Augenstein S., 2012, WHITEFIELD IS MOST P
Aylward FO, 2017, P NATL ACAD SCI USA, V114, P11446, DOI 10.1073/pnas.1714821114
Beaulaurier J, 2020, GENOME RES, V30, P437, DOI 10.1101/gr.251686.119
Bench SR, 2007, APPL ENVIRON MICROB, V73, P7629, DOI 10.1128/AEM.00938-07
BERGH O, 1989, NATURE, V340, P467, DOI 10.1038/340467a0
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Brettin T, 2015, SCI REP-UK, V5, DOI 10.1038/srep08365
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Bushnell B., 2014, BBMAP FAST ACCURATE
Bushnell B., 2015, BBMAP VERSION 35 14
Cai LL, 2016, VIRUSES-BASEL, V8, DOI 10.3390/v8020035
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Carver T, 2009, BIOINFORMATICS, V25, P119, DOI 10.1093/bioinformatics/btn578
Chen LK, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-06688-w
Cissoko M, 2008, FRESHWATER BIOL, V53, P1154, DOI 10.1111/j.1365-2427.2007.01930.x
Crits-Christoph A, 2016, ENVIRON MICROBIOL, V18, P2064, DOI 10.1111/1462-2920.13259
Du JB, 2016, J MARINE SYST, V164, P101, DOI 10.1016/j.jmarsys.2016.08.011
Endo H, 2020, NAT ECOL EVOL, V4, P1639, DOI 10.1038/s41559-020-01288-w
Evans BA, 2013, CURR PHARM DESIGN, V19, P223
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
FISHER TR, 1988, ESTUAR COAST SHELF S, V27, P61, DOI 10.1016/0272-7714(88)90032-7
Fortunato CS, 2011, MICROB ECOL, V62, P374, DOI 10.1007/s00248-011-9805-z
Fuhrman JA, 1995, LIMNOL OCEANOGR, V40, P1236, DOI 10.4319/lo.1995.40.7.1236
Garin-Fernandez A, 2018, MAR GENOM, V41, P31, DOI 10.1016/j.margen.2018.05.004
Ginestet C, 2011, J ROY STAT SOC A, V174, P245, DOI 10.1111/j.1467-985X.2010.00676_9.x
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Harding LW Jr, 2016, SCI REP-UK, V6, DOI 10.1038/srep23773
Herbert RA, 1999, FEMS MICROBIOL REV, V23, P563, DOI 10.1016/S0168-6445(99)00022-4
Hermes AL, 2016, ESTUAR COAST SHELF S, V180, P179, DOI 10.1016/j.ecss.2016.07.005
Howard A, 2012, VIRULENCE, V3, P243, DOI 10.4161/viru.19700
Hrenovic J, 2014, APPL ENVIRON MICROB, V80, P2860, DOI 10.1128/AEM.00312-14
Huang SJ, 2015, APPL ENVIRON MICROB, V81, P441, DOI 10.1128/AEM.02483-14
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hwang J, 2016, OCEAN SCI J, V51, P599, DOI 10.1007/s12601-016-0051-7
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kan J, 2007, APPL ENVIRON MICROB, V73, P6776, DOI 10.1128/AEM.00541-07
Kan JJ, 2006, LIMNOL OCEANOGR, V51, P2157, DOI 10.4319/lo.2006.51.5.2157
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kavagutti VS, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0752-0
Keegan KP, 2016, METHODS MOL BIOL, V1399, P207, DOI 10.1007/978-1-4939-3369-3_13
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Li DH, 2016, METHODS, V102, P3, DOI 10.1016/j.ymeth.2016.02.020
Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
Marshall HG, 2005, J PLANKTON RES, V27, P1083, DOI 10.1093/plankt/fbi079
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
McDaniel L, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003263
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Merabishvili M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0104853
Mumm IP, 2013, GENOME ANNOUNCEMENTS, V1, DOI 10.1128/genomeA.00850-13
Oksanen, 2022, VEGAN COMMUNITY ECOL
Paez-Espino D, 2019, NUCLEIC ACIDS RES, V47, pD678, DOI 10.1093/nar/gky1127
Paez-Espino D, 2017, NAT PROTOC, V12, P1673, DOI 10.1038/nprot.2017.063
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Roux S, 2019, NAT BIOTECHNOL, V37, P29, DOI 10.1038/nbt.4306
Roux S, 2017, PEERJ, V5, DOI 10.7717/peerj.3817
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sambrook Joseph, 2006, CSH Protoc, V2006, DOI [10.1101/pdb.prot3871, 10.1101/pdb.prot4085, 10.1101/pdb.prot4453, 10.1101/pdb.prot4056, 10.1101/pdb.prot3972, 10.1101/pdb.prot4022, 10.1101/pdb.prot3723, 10.1101/pdb.prot4044, 10.1101/pdb.prot3966, 10.1101/pdb.prot4050, 10.1101/pdb.prot4027, 10.1101/pdb.prot4455, 10.1101/pdb.prot3825]
SCUDLARK JR, 1993, ESTUARIES, V16, P747, DOI 10.2307/1352433
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sharp J, 1983, DELAWARE ESTUARY RES
SHARP JH, 1986, ESTUARIES, V9, P261, DOI 10.2307/1352098
Sieradzki ET, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09106-z
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Turner D, 2018, VIRUSES-BASEL, V10, DOI 10.3390/v10010005
Wang K, 2004, AQUAT MICROB ECOL, V34, P105, DOI 10.3354/ame034105
Wang K, 2008, ENVIRON MICROBIOL, V10, P300, DOI 10.1111/j.1462-2920.2007.01452.x
Williamson SJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001456
Wilson WH, 2009, CURR TOP MICROBIOL, V328, P1
Winget DM, 2008, APPL ENVIRON MICROB, V74, P2612, DOI 10.1128/AEM.02829-07
Winget DM, 2011, P NATL ACAD SCI USA, V108, P11506, DOI 10.1073/pnas.1101907108
WOMMACK KE, 1992, APPL ENVIRON MICROB, V58, P2965, DOI 10.1128/AEM.58.9.2965-2970.1992
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Wommack KE, 1999, APPL ENVIRON MICROB, V65, P231
WRIGHT RT, 1983, MAR ECOL PROG SER, V11, P205, DOI 10.3354/meps011205
Zhang ZF, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00494-19
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 87
TC 19
Z9 20
PD MAR
PY 2021
VL 6
IS 2
AR e01020-20
DI 10.1128/mSystems.01020-20
UT WOS:000665831100008
DA 2025-07-30
ER
PT J
AU Dobal-Amador, V
Nieto-Cid, M
Guerrero-Feijoo, E
Hernando-Morales, V
Teira, E
Varela, MM
AF Dobal-Amador, Vladimir
Nieto-Cid, Mar
Guerrero-Feijoo, Elisa
Hernando-Morales, Victor
Teira, Eva
Varela, Marta M.
TI Vertical stratification of bacterial communities driven by multiple
environmental factors in the waters (0-5000 m) off the Galician coast
(NW Iberian margin)
SO DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS
DT Article
AB The processes mediated by microbial planktonic communities occur along the entire water column, yet the microbial activity and composition have been studied mainly in surface waters. This research examined the vertical variation in bacterial abundance, activity and community composition and structure from surface down to 5000 m depth following a longitudinal transect off the Galician coast (NW Iberian margin, from 43 degrees N, 9 degrees W to 43 degrees N, 15 degrees W). Community activity and composition changed with depth. The leucine incorporation rates decreased from the euphotic layer to the bathypelagic waters by three orders of magnitude, whereas prokaryotic abundance decreased only by one order of magnitude. The relative abundance of SAR11 and Alteromonas, determined by catalyzed reported deposition fluorescence in situ hybridization (CARD-FISH), decreased with depth. Meanwhile, the contribution of SAR 202 and SAR324 was significantly higher in the deeper layers (i.e. NEADW, North East Atlantic Deep Water and LDW, Lower Deep Water) than in the euphotic zone. Bacterial community structure, assessed by Automated Ribosomal Intergenic Spacer Analysis (ARISA), was depth-specific. A distance based linear model (DistLM) revealed that the variability found in bacterial community structure was mainly explained by temperature nitrate, phosphate, dissolved organic matter (DOM) fluorescence, prokaryotic abundance, leucine incorporation and to a lesser extent salinity, oxygen, CDOM absorbance and dissolved organic carbon concentration. Our results displayed a bacterial community structure shaped not only by depth related physicochemical features but also by DOM quality, indicating that different prokaryotic taxa have the potential to metabolize particular DOM sources. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Dobal-Amador, Vladimir; Guerrero-Feijoo, Elisa; Varela, Marta M.] IEO, Ctr Oceanog A Coruna, Apdo 130, La Coruna 15080, Spain.
[Dobal-Amador, Vladimir; Hernando-Morales, Victor; Teira, Eva] Univ Vigo, Dept Ecol & Biol Anim, Vigo 36200, Spain.
[Nieto-Cid, Mar] CSIC, Inst Invest Marinas Vigo, Eduardo Cabello 6, Vigo 36208, Spain.
RP Varela, MM (corresponding author), IEO, Ctr Oceanog A Coruna, Apdo 130, La Coruna 15080, Spain.
EM marta.varela@co.ieo.es
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Amann R.I., 1990, NATURE, V369, P549
Amano-Sato C., 2015, ASLO AQ SCI M 22 27
Anderson AJ, 2008, For PRIMER: Guide to Software and Statistical Methods Plymouth
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
Aparicio FL, 2015, FRONT MAR SCI, V2, DOI 10.3389/fmars.2015.00106
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Baltar F, 2012, APPL ENVIRON MICROB, V78, P3309, DOI 10.1128/AEM.07962-11
Baltar F, 2009, ENVIRON MICROBIOL, V11, P1998, DOI 10.1111/j.1462-2920.2009.01922.x
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Cardinale M, 2004, APPL ENVIRON MICROB, V70, P6147, DOI 10.1128/AEM.70.10.6147-6156.2004
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Celussi M, 2010, ANTARCT SCI, V22, P361, DOI 10.1017/S0954102010000192
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Díez B, 2004, LIMNOL OCEANOGR, V49, P1022
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Galand PE, 2009, ENVIRON MICROBIOL, V11, P971, DOI 10.1111/j.1462-2920.2008.01822.x
Gasol M., 1999, APPL ENVIRON MICROB, V65
Ghiglione JF, 2008, BIOGEOSCIENCES, V5, P1751, DOI 10.5194/bg-5-1751-2008
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GREEN SA, 1994, LIMNOL OCEANOGR, V39, P1903, DOI 10.4319/lo.1994.39.8.1903
Helms JR, 2008, LIMNOL OCEANOGR, V53, P955, DOI 10.4319/lo.2008.53.3.0955
Kawasaki N, 2006, LIMNOL OCEANOGR, V51, P2170, DOI 10.4319/lo.2006.51.5.2170
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
Langdon C, 2010, ICPO PUBLICATION SER, V134
Lekunberri I, 2013, FEMS MICROBIOL ECOL, V85, P537, DOI 10.1111/1574-6941.12142
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mapelli F, 2013, OCEAN SCI, V9, P585, DOI 10.5194/os-9-585-2013
Martinez-Perez A.M., 2016, MARINE CHEM UNPUB
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
McCarthy M, 1996, MAR CHEM, V55, P281, DOI 10.1016/S0304-4203(96)00041-2
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Nagata T, 2000, LIMNOL OCEANOGR, V45, P426, DOI 10.4319/lo.2000.45.2.0426
Nieto-Cid M, 2006, LIMNOL OCEANOGR, V51, P1391, DOI 10.4319/lo.2006.51.3.1391
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Sjöstedt J, 2014, APPL ENVIRON MICROB, V80, P2786, DOI 10.1128/AEM.00099-14
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tamburini C, 2013, ENVIRON MICROBIOL, V15, P1262, DOI 10.1111/1462-2920.12084
Tamburini C, 2009, DEEP-SEA RES PT II, V56, P700, DOI 10.1016/j.dsr2.2008.07.021
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Yannarell AC, 2005, APPL ENVIRON MICROB, V71, P227, DOI 10.1128/AEM.71.1.227-239.2005
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Yokokawa T, 2010, AQUAT MICROB ECOL, V59, P185, DOI 10.3354/ame01393
NR 61
TC 19
Z9 22
PD AUG
PY 2016
VL 114
BP 1
EP 11
DI 10.1016/j.dsr.2016.04.009
UT WOS:000381531500001
DA 2025-07-30
ER
PT J
AU Milke, F
Sanchez-Garcia, S
Dlugosch, L
McNichol, J
Fuhrman, J
Simon, M
Wagner-Doebler, I
AF Milke, Felix
Sanchez-Garcia, Selene
Dlugosch, Leon
McNichol, Jesse
Fuhrman, Jed
Simon, Meinhard
Wagner-Doebler, Irene
TI Composition and Biogeography of Planktonic Pro- and Eukaryotic
Communities in the Atlantic Ocean: Primer Choice Matters
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Basin-scale biogeographic observations of marine pelagic pro- and eukaryotic communities are necessary to understand forces driving community composition and for providing a baseline to monitor global change. Deep sequencing of rRNA genes provides community composition at high resolution; yet, it is unclear how the choice of primers affects biogeographic patterns. Here, we re-amplified 16S rRNA genes from DNA sampled during R/V Polarstern Cruise ANT28-5 over a latitudinal transect across the Atlantic Ocean from 52 degrees S to 47 degrees N using universal V4-V5 primers and compared the results with those obtained previously with V5-V6 bacteria-specific primers. For validation of our results, we inferred community composition based on 16S rRNA genes of metagenomes from the same stations and single amplified genomes (SAGs) from the Global Ocean Reference Genome (GORG) database. We found that the universal V4-V5 primers retrieved SAR11 clades with similar relative proportions as those found in the GORG database while the V5-V6 primers recovered strongly diverging clade abundances. We confirmed an inverse bell-shaped distance-decay relationship and a latitudinal diversity gradient that did not decline linearly with absolute latitude in the Atlantic Ocean. Patterns were modified by sampling depth, sequencing depth, choice of primers, and abundance filtering. Especially richness patterns were not robust to methodological change. This study offers a detailed picture of the Atlantic Ocean microbiome using a universal set of PCR primers that allow for the conjunction of biogeographical patterns among organisms from different domains of life.
C1 [Milke, Felix; Dlugosch, Leon; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chmistry & Biol Marine Environm, Oldenburg, Germany.
[Sanchez-Garcia, Selene; Wagner-Doebler, Irene] Tech Univ Carolo Wilhelmina Braunschweig, Inst Microbiol, Braunschweig, Germany.
[McNichol, Jesse; Fuhrman, Jed] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA USA.
[Simon, Meinhard] Helmholtz Inst Funct Marine Biodivers, Oldenburg, Germany.
RP Wagner-Doebler, I (corresponding author), Tech Univ Carolo Wilhelmina Braunschweig, Inst Microbiol, Braunschweig, Germany.
EM I.Wagner-Doebler@tu-braunschweig.de
CR Acinas SG, 2019, bioRxiv, DOI [10.1101/635680, 10.1101/635680, DOI 10.1101/635680]
Baker BJ, 2020, NAT MICROBIOL, V5, P887, DOI 10.1038/s41564-020-0715-z
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Basu S, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030869
Bergen B, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00621
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chase JM, 2013, ECOL LETT, V16, P17, DOI 10.1111/ele.12112
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Davies N, 2014, GIGASCIENCE, V3, DOI 10.1186/2047-217X-3-2
Dlugosch L, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28128-8
Duarte C.M., 2015, LIMNOLOGY OCEANOGRAP, V24, P11, DOI DOI 10.1002/LOB.10008
Dueholm MS, 2020, MBIO, V11, DOI 10.1128/mBio.01557-20
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Froslev TG, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01312-x
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Gong W, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00219
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Haegeman B, 2013, ISME J, V7, P1092, DOI 10.1038/ismej.2013.10
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Ibarbalz FM, 2019, CELL, V179, P1084, DOI 10.1016/j.cell.2019.10.008
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Ji B. W., 2018, BIORXIV, DOI [10.1101/310649, DOI 10.1101/310649]
Jousset A, 2017, ISME J, V11, P853, DOI 10.1038/ismej.2016.174
Kelly RP, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-48546-x
Kopf A, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0066-5
Li M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9933
Logares R, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00827-8
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
LONGHURST A, 1995, J PLANKTON RES, V17, P1245, DOI 10.1093/plankt/17.6.1245
McNichol J, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00565-21
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00590
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Milici M, 2016, SCI REP-UK, V6, DOI 10.1038/srep19054
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Moss JA, 2020, MICROB ECOL, V79, P511, DOI 10.1007/s00248-019-01413-8
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Passow U, 2012, MAR ECOL PROG SER, V470, P249, DOI 10.3354/meps09985
Pereira O, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.852
Pesant S, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.23
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Raes EJ, 2018, P NATL ACAD SCI USA, V115, pEB266, DOI 10.1073/pnas.1719335115
Rinke C, 2020, bioRxiv, DOI [10.1101/2020.03.01.972265, 10.1101/2020.03.01.972265, DOI 10.1101/2020.03.01.972265]
Ruiz-González C, 2019, MOL ECOL, V28, P1930, DOI 10.1111/mec.15026
Santoro AE, 2019, ANNU REV MAR SCI, V11, P131, DOI [10.1146/annurev-marine-121916063141, 10.1146/annurev-marine-121916-063141]
Schenk Janina, 2019, Metabarcoding and Metagenomics, V3, P117, DOI 10.3897/mbmg.3.46704
Schlitzer R, 2002, COMPUT GEOSCI-UK, V28, P1211, DOI 10.1016/S0098-3004(02)00040-7
Sinha R, 2017, NAT BIOTECHNOL, V35, P1077, DOI 10.1038/nbt.3981
Sommeria-Klein G, 2021, SCIENCE, V374, P594, DOI 10.1126/science.abb3717
Sunagawa S, 2020, NAT REV MICROBIOL, V18, P428, DOI 10.1038/s41579-020-0364-5
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Team RC, 2021, R LANG ENV STAT COMP, V1, P371
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teira E, 2019, ENVIRON MICROBIOL, V21, P1482, DOI 10.1111/1462-2920.14581
Tessler M, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-06665-3
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang S, 2018, ISME J, V12, P2582, DOI 10.1038/s41396-018-0163-4
Willis C, 2019, FEMS MICROBIOL LETT, V366, DOI 10.1093/femsle/fnz152
Wu JH, 2009, J MICROBIOL METH, V77, P267, DOI 10.1016/j.mimet.2009.03.001
Yang B, 2016, BMC BIOINFORMATICS, V17, DOI 10.1186/s12859-016-0992-y
Yeh YC, 2021, ENVIRON MICROBIOL, V23, P3240, DOI 10.1111/1462-2920.15553
Yeh YC, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00023-18
Zhou J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01201
NR 72
TC 6
Z9 6
PD JUN 28
PY 2022
VL 13
AR 895875
DI 10.3389/fmicb.2022.895875
UT WOS:000824496400001
DA 2025-07-30
ER
PT J
AU Schattenhofer, M
Wulf, J
Kostadinov, I
Glöckner, FO
Zubkov, MV
Fuchs, BM
AF Schattenhofer, Martha
Wulf, Joerg
Kostadinov, Ivalyo
Gloeckner, Frank Oliver
Zubkov, Mikhail V.
Fuchs, Bernhard M.
TI Phylogenetic characterisation of picoplanktonic populations with high
and low nucleic acid content in the North Atlantic Ocean
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB In flow cytometric analyses of marine prokaryotic picoplankton often two populations with distinct differences in their apparent nucleic acid content are discernable, one with a high and one with a low nucleic acid content (HNA and LNA, respectively). In this study we determined the phylogenetic composition of flow cytometrically sorted HNA and LNA populations, collected at six stations along a transect across three oceanic provinces from Iceland to the Azores. Catalysed reporter deposition fluorescence in situ hybridisation (CARD-FISH) analysis of sorted cells revealed distinct differences in phylogenetic composition between the LNA and HNA populations with only little overlap. At all stations the LNA population was dominated by the alphaproteobacterial clade SAR11 (45-74%). Also, Betaproteobacteria were always present at 2-4%. While the LNA composition was rather stable, the HNA populations were composed of distinct phylogenetic clades in the different oceanic provinces of Arctic and Tropics. For example Cyanobacteria dominated the North Atlantic Gyre HNA population (29-44%) with Prochlorococcus as the major clade (34-44%), but were low in Arctic and Polar waters (1% and 5%, respectively). In contrast, Bacteroidetes accounted for the majority of HNA cells in the Polar and Arctic province (26% and 32%, respectively), but were low in the Gyre region (3-10%). The DNA content of the HNA population was about 3.5 times higher than that of the LNA populations. This reflects differences in the genome sizes of closely related cultured representatives of HNA clades (3-6 Mbp) and LNA clades (1.3-1.5 Mbp). (C) 2011 Elsevier GmbH. All rights reserved.
C1 [Schattenhofer, Martha; Wulf, Joerg; Fuchs, Bernhard M.] Max Planck Inst Marine Microbiol, Dept Mol Ecol, Bremen, Germany.
[Kostadinov, Ivalyo; Gloeckner, Frank Oliver] Max Planck Inst Marine Microbiol, Microbial Genom Grp, Bremen, Germany.
[Zubkov, Mikhail V.] Natl Oceanog Ctr, Southampton, Hants, England.
[Kostadinov, Ivalyo; Gloeckner, Frank Oliver] Univ Bremen, Bremen, Germany.
RP Fuchs, BM (corresponding author), Celsiusstr 1, D-28359 Bremen, Germany.
EM bfuchs@mpi-bremen.de
CR Bouvier T, 2007, ENVIRON MICROBIOL, V9, P2050, DOI 10.1111/j.1462-2920.2007.01321.x
Brussaard CPD, 2000, J VIROL METHODS, V85, P175, DOI 10.1016/S0166-0934(99)00167-6
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Islas S, 2004, ORIGINS LIFE EVOL B, V34, P243, DOI 10.1023/B:ORIG.0000009844.90540.52
Kottmann R, 2010, NUCLEIC ACIDS RES, V38, pD391, DOI 10.1093/nar/gkp918
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Lebaron P, 2002, AQUAT MICROB ECOL, V28, P131, DOI 10.3354/ame028131
Li WKW, 1995, LIMNOL OCEANOGR, V40, P1485, DOI 10.4319/lo.1995.40.8.1485
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Servais P, 1999, MICROBIAL ECOL, V38, P180, DOI 10.1007/s002489900160
Servais P, 2003, AQUAT MICROB ECOL, V33, P41, DOI 10.3354/ame033041
Sherr EB, 2006, DEEP-SEA RES PT I, V53, P713, DOI 10.1016/j.dsr.2006.02.001
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
VAULOT D, 1995, SCIENCE, V268, P1480, DOI 10.1126/science.268.5216.1480
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Zubkov MV, 2004, J MAR BIOL ASSOC UK, V84, P519, DOI 10.1017/S002531540400952Xh
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
Zubkov MV, 1998, DEEP-SEA RES PT I, V45, P1339, DOI 10.1016/S0967-0637(98)00015-6
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 35
TC 71
Z9 80
PD SEP
PY 2011
VL 34
IS 6
BP 470
EP 475
DI 10.1016/j.syapm.2011.01.008
UT WOS:000295743800013
DA 2025-07-30
ER
PT J
AU Satinsky, BM
Zielinski, BL
Doherty, M
Smith, CB
Sharma, S
Paul, JH
Crump, BC
Moran, MA
AF Satinsky, Brandon M.
Zielinski, Brian L.
Doherty, Mary
Smith, Christa B.
Sharma, Shalabh
Paul, John H.
Crump, Byron C.
Moran, Mary Ann
TI The Amazon continuum dataset: quantitative metagenomic and
metatranscriptomic inventories of the Amazon River plume, June 2010
SO MICROBIOME
DT Article
AB Background: The Amazon River is by far the world's largest in terms of volume and area, generating a fluvial export that accounts for about a fifth of riverine input into the world's oceans. Marine microbial communities of the Western Tropical North Atlantic Ocean are strongly affected by the terrestrial materials carried by the Amazon plume, including dissolved (DOC) and particulate organic carbon (POC) and inorganic nutrients, with impacts on primary productivity and carbon sequestration.
Results: We inventoried genes and transcripts at six stations in the Amazon River plume during June 2010. At each station, internal standard-spiked metagenomes, non-selective metatranscriptomes, and poly(A)-selective metatranscriptomes were obtained in duplicate for two discrete size fractions (0.2 to 2.0 mu m and 2.0 to 156 mu m) using 150 x 150 paired-end Illumina sequencing. Following quality control, the dataset contained 360 million reads of approximately 200 bp average size from Bacteria, Archaea, Eukarya, and viruses. Bacterial metagenomes and metatranscriptomes were dominated by Synechococcus, Prochlorococcus, SAR11, SAR116, and SAR86, with high contributions from SAR324 and Verrucomicrobia at some stations. Diatoms, green picophytoplankton, dinoflagellates, haptophytes, and copepods dominated the eukaryotic genes and transcripts. Gene expression ratios differed by station, size fraction, and microbial group, with transcription levels varying over three orders of magnitude across taxa and environments.
Conclusions: This first comprehensive inventory of microbial genes and transcripts, benchmarked with internal standards for full quantitation, is generating novel insights into biogeochemical processes of the Amazon plume and improving prediction of climate change impacts on the marine biosphere.
C1 [Satinsky, Brandon M.] Univ Georgia, Dept Microbiol, Athens, GA 30602 USA.
[Zielinski, Brian L.; Paul, John H.] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA.
[Doherty, Mary; Crump, Byron C.] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR 97331 USA.
[Smith, Christa B.; Sharma, Shalabh] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Barada LP, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00025
Chitsaz H, 2011, NAT BIOTECHNOL, V29, P915, DOI 10.1038/nbt.1966
Chong LS, 2014, DEEP-SEA RES PT I, V85, P124, DOI 10.1016/j.dsr.2013.12.007
Coles VJ, 2013, J GEOPHYS RES-OCEANS, V118, P6894, DOI 10.1002/2013JC008981
Falgueras J, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-38
Goes JI, 2014, PROG OCEANOGR, V120, P29, DOI 10.1016/j.pocean.2013.07.010
Neidhardt F.C., 1996, ESCHERICHIA COLI SAL, P13
RICHEY JE, 1989, SCIENCE, V246, P101, DOI 10.1126/science.246.4926.101
Rodrigue S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011840
Satinsky BM, 2013, METHOD ENZYMOL, V531, P237, DOI 10.1016/B978-0-12-407863-5.00012-5
Subramaniam A, 2008, P NATL ACAD SCI USA, V105, P10460, DOI 10.1073/pnas.0710279105
Taniguchi Y, 2010, SCIENCE, V329, P533, DOI 10.1126/science.1188308
Zhao YG, 2012, BIOINFORMATICS, V28, P125, DOI 10.1093/bioinformatics/btr595
NR 13
TC 47
Z9 54
PD MAY 15
PY 2014
VL 2
AR 17
DI 10.1186/2049-2618-2-17
UT WOS:000363192000001
DA 2025-07-30
ER
PT J
AU Gifford, SM
Sharma, S
Moran, MA
AF Gifford, Scott M.
Sharma, Shalabh
Moran, Mary Ann
TI Linking activity and function to ecosystem dynamics in a coastal
bacterioplankton community
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB For bacterial communities containing hundreds to thousands of distinct populations, connecting functional processes and environmental dynamics at high taxonomic resolution has remained challenging. Here we use the expression of ribosomal proteins (%RP) as a proxy for in situ activity of 200 taxa within 20 metatranscriptomic samples in a coastal ocean time series encompassing both seasonal variability and diel dynamics. %RP patterns grouped the taxa into seven activity clusters with distinct profiles in functional gene expression and correlations with environmental gradients. Clusters 13 had their highest potential activity in the winter and fall, and included some of the most active taxa, while Clusters 47 had their highest potential activity in the spring and summer. Cluster 1 taxa were characterized by gene expression for motility and complex carbohydrate degradation (dominated by Gammaproteobacteria and Bacteroidetes), and Cluster 2 taxa by transcription of genes for amino acid and aromatic compound metabolism and aerobic anoxygenic phototrophy (Roseobacter). Other activity clusters were enriched in transcripts for proteorhodopsin and methylotrophy (Cluster 4; SAR11 and methylotrophs), photosynthesis and attachment (Clusters 5 and 7; Synechococcus, picoeukaryotes, Verucomicrobia, and Planctomycetes), and sulfur oxidation (Cluster 7; Gammaproteobacteria). The seasonal patterns in activity were overlain, and sometimes obscured, by large differences in %RP over shorter day-night timescales. Seventy-eight taxa, many of them heterotrophs, had a higher %RP activity index during the day than night, indicating a strong diel activity rhythm at this coastal site. Emerging from these taxonomically- and time-resolved estimates of in situ microbial activity are predictions of specific ecological groupings of microbial taxa in a dynamic coastal environment.
C1 [Gifford, Scott M.; Sharma, Shalabh; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, 220 Marine Sci Bldg, Athens, GA 30602 USA.
EM mmoran@uga.eduu
CR Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
CARLUCCI AF, 1984, APPL ENVIRON MICROB, V48, P165, DOI 10.1128/AEM.48.1.165-170.1984
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Eisen MB, 1998, P NATL ACAD SCI USA, V95, P14863, DOI 10.1073/pnas.95.25.14863
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015545
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hendrickson EL, 2008, J BACTERIOL, V190, P2198, DOI 10.1128/JB.01805-07
Hollibaugh JT, 2014, ISME J, V8, P685, DOI 10.1038/ismej.2013.171
Hollibaugh JT, 2011, ISME J, V5, P866, DOI 10.1038/ismej.2010.172
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Lau WWY, 2007, APPL ENVIRON MICROB, V73, P2440, DOI 10.1128/AEM.01965-06
Lin YJ, 2013, ENVIRON MICROBIOL, V15, P2736, DOI 10.1111/1462-2920.12135
Moran MA, 2013, ISME J, V7, P237, DOI 10.1038/ismej.2012.94
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Oksanen J., 2010, Vegan: Community ecology package
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Rodrigue S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011840
Satinsky BM, 2013, METHOD ENZYMOL, V531, P237, DOI 10.1016/B978-0-12-407863-5.00012-5
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Vila-Costa M, 2013, ENVIRON MICROBIOL, V15, P1190, DOI 10.1111/1462-2920.12033
Wei Y, 2001, J BACTERIOL, V183, P545, DOI 10.1128/JB.183.2.545-556.2001
Yurkov VV, 1998, MICROBIOL MOL BIOL R, V62, P695, DOI 10.1128/MMBR.62.3.695-724.1998
NR 32
TC 51
Z9 54
PD APR 24
PY 2014
VL 5
AR 185
DI 10.3389/fmicb.2014.00185
UT WOS:000334854400001
DA 2025-07-30
ER
PT J
AU Saidi, A
Banchi, E
Fonti, V
Manna, V
De Vittor, C
Giani, M
Malfatti, F
Celussi, M
AF Saidi, Amira
Banchi, Elisa
Fonti, Viviana
Manna, Vincenzo
De Vittor, Cinzia
Giani, Michele
Malfatti, Francesca
Celussi, Mauro
TI Microbial dynamics in shallow CO2 seeps system off Panarea
Island (Italy)
SO MARINE BIOLOGY
DT Article
AB Shallow-water hydrothermal vents are extreme environments characterized by high temperatures, low pH, and high CO2 concentrations; therefore, they are considered as suitable laboratories for studying the effect of global changes on marine microbes. We hypothesized a direct effect of vents on prokaryotic community structure and functioning in the Panarea Island's hydrothermal system. Sampling was conducted along a 9-station transect characterized by three active emission points. The water column was stratified with a thermocline at 25 m depth and a deep chlorophyll maximum between 50 and 100 m. Prokaryotic abundance ranged from 0.2 to 1.5 x 10(9) cells L-1, prokaryotic carbon production from 2.4 to 75.4 ng C L-1 h(-1), and exoenzymatic activities degrading proteins, phosphorylated compounds, and polysaccharides were on the order of 4-28, 2-31 and 0.2-4.16 nM h(-1), respectively. While microbial abundance and production were shaped by the water column's physical structure, alkaline phosphatase and beta-glucosidase activities seemed to be enhanced by hydrothermal fluids. The 16S rRNA gene amplicon sequencing analysis identified a surface, a deep, and a vent-influenced microbial community. In terms of relative abundance members of the SAR11 group dominated the water column, alongside Synechococcus and Prochlorococcus in surface and bottom samples, respectively. Vent-influenced stations were characterized by the presence of Thiomicrorhabdus, a sulfur-oxidizer chemolithoautotroph. Overall, this study provides insights on the coupling between microbial community structure and the biogeochemical cycling of nutrients in low-pH conditions (CO2 and H2S-based), thus addressing some of the opened questions about the response of microbes to acidification.
C1 [Saidi, Amira; Banchi, Elisa; Fonti, Viviana; Manna, Vincenzo; De Vittor, Cinzia; Giani, Michele; Malfatti, Francesca; Celussi, Mauro] Ist Nazl Oceanog E Geofis Sperimentale, OGS, Trieste, Italy.
[Saidi, Amira] CaFoscari Univ Venezia, Venice, Italy.
[Malfatti, Francesca] Univ Trieste, Trieste, Italy.
RP Saidi, A; Malfatti, F; Celussi, M (corresponding author), Ist Nazl Oceanog E Geofis Sperimentale, OGS, Trieste, Italy.; Saidi, A (corresponding author), CaFoscari Univ Venezia, Venice, Italy.; Malfatti, F (corresponding author), Univ Trieste, Trieste, Italy.
EM asaidi@ogs.it; fmalfatti@units.it; mcelussi@ogs.it
CR Allgaier M., 2008, Biogeosciences, V5, P1007
Arnosti C, 2011, ANNU REV MAR SCI, V3, P401, DOI 10.1146/annurev-marine-120709-142731
Auladell A, 2022, ISME J, V16, P178, DOI 10.1038/s41396-021-01053-2
Bach LT, 2019, OCEAN SCI, V15, P1159, DOI 10.5194/os-15-1159-2019
Bennett SA, 2011, DEEP-SEA RES PT I, V58, P922, DOI 10.1016/j.dsr.2011.06.010
Bergamin L, 2019, ECOL INDIC, V96, P16, DOI 10.1016/j.ecolind.2018.08.050
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Bokulich NA, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00219-18
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Bortoluzzi G, 2017, GEOBIOLOGY, V15, P664, DOI 10.1111/gbi.12237
Boyd PW, 2018, GLOBAL CHANGE BIOL, V24, P2239, DOI 10.1111/gcb.14102
Caliro S, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2003GL019359
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cao HL, 2014, MBIO, V5, DOI 10.1128/mBio.00980-13
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Celussi M, 2017, ESTUAR COAST SHELF S, V186, P125, DOI 10.1016/j.ecss.2015.08.015
Coffin RB, 2004, ENERGY, V29, P1511, DOI 10.1016/j.energy.2003.06.001
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Dickson AG., 2007, Guide to Best Practices for Ocean CO2 Measurements, DOI 10.25607/OBP-1342
Dittmar T, 2006, MAR CHEM, V102, P208, DOI 10.1016/j.marchem.2006.04.003
Esposito A, 2006, MAR GEOL, V227, P119, DOI 10.1016/j.margeo.2005.11.007
Everroad RC, 2012, MOL PHYLOGENET EVOL, V64, P381, DOI 10.1016/j.ympev.2012.04.013
Flynn KJ, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2014.2604
Fukuda R, 2000, LIMNOL OCEANOGR, V45, P930, DOI 10.4319/lo.2000.45.4.0930
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gomez-Saez GV, 2016, GEOCHIM COSMOCHIM AC, V190, P35, DOI 10.1016/j.gca.2016.06.027
González FJ, 2020, MAR GEOL, V430, DOI 10.1016/j.margeo.2020.106333
González-Delgado S, 2018, ADV MAR BIOL, V80, P57, DOI 10.1016/bs.amb.2018.08.001
Grossart HP, 2006, LIMNOL OCEANOGR, V51, P1, DOI 10.4319/lo.2006.51.1.0001
Gugliandolo C, 2019, DIVERSITY-BASEL, V11, DOI 10.3390/d11090156
Hoppe HG, 1993, HDB METHODS AQUATIC, P423
Hu CQ, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.583982
Hutchins DA, 2007, LIMNOL OCEANOGR, V52, P1293, DOI 10.4319/lo.2007.52.4.1293
Illumina, 2013, 16S METAGENOMIC SEQU, P1
ITALIANO F, 1991, J VOLCANOL GEOTH RES, V46, P125, DOI 10.1016/0377-0273(91)90079-F
JANNASCH HW, 1985, INT J SYST BACTERIOL, V35, P422, DOI 10.1099/00207713-35-4-422
Jones DG, 2015, INT J GREENH GAS CON, V40, P350, DOI 10.1016/j.ijggc.2015.05.032
Karl D.M., 1995, MICROBIOLOGY DEEP SE, P35
Karuza A, 2012, ESTUAR COAST SHELF S, V97, P10, DOI 10.1016/j.ecss.2011.10.027
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Koroleff F, 1983, METHODS SEAWATER ANA, V2, P125
Lang SQ, 2006, GEOCHIM COSMOCHIM AC, V70, P3830, DOI 10.1016/j.gca.2006.04.031
Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
Lentini V, 2014, CURR MICROBIOL, V69, P457, DOI 10.1007/s00284-014-0609-5
Lidbury I, 2012, MAR POLLUT BULL, V64, P1063, DOI 10.1016/j.marpolbul.2012.02.011
Liu JW, 2010, AQUAT MICROB ECOL, V61, P291, DOI 10.3354/ame01446
LONGHURST AR, 1989, PROG OCEANOGR, V22, P47, DOI 10.1016/0079-6611(89)90010-4
Lorenzen C., 1980, UNESCO Tech. Pap. Mar. Sci, V35, P1, DOI DOI 10.4319/LO.1967.12.2.0343
Lorrain A, 2003, ANAL CHIM ACTA, V491, P125, DOI 10.1016/S0003-2670(03)00815-8
Lucila M, 1996, J PLANKTON RES, V18, P715, DOI 10.1093/plankt/18.5.715
Macias D, 2019, PROG OCEANOGR, V173, P37, DOI 10.1016/j.pocean.2019.02.005
Manini E, 2008, MICROB ECOL, V55, P626, DOI 10.1007/s00248-007-9306-2
Maugeri TL, 2010, CHEM ECOL, V26, P285, DOI 10.1080/02757541003693250
Maugeri TL, 2009, EXTREMOPHILES, V13, P199, DOI 10.1007/s00792-008-0210-6
McMurdie PJ, 2012, BIOCOMPUT-PAC SYM, P235
Meyers MEJ, 2014, APPL ENVIRON MICROB, V80, P4854, DOI [10.1128/AEM.01038, 10.1128/AEM.01038-14]
Molari M, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aao2040
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Moutin T, 2002, LIMNOL OCEANOGR, V47, P1562, DOI 10.4319/lo.2002.47.5.1562
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Oksanen, 2022, VEGAN COMMUNITY ECOL
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Patel A, 2007, NAT PROTOC, V2, P269, DOI 10.1038/nprot.2007.6
Patwardhan S, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.638300
Patwardhan S, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02970
PELLA E, 1973, MIKROCHIM ACTA, P697
Piontek J, 2013, BIOGEOSCIENCES, V10, P297, DOI 10.5194/bg-10-297-2013
Piontek J, 2010, BIOGEOSCIENCES, V7, P1615, DOI 10.5194/bg-7-1615-2010
PITCHER W.S., 1979, ORIGIN GRANITE BATHO, P1, DOI 10.1007/978-1-4684-0465-4_1
Pomeroy LR, 2001, AQUAT MICROB ECOL, V23, P187, DOI 10.3354/ame023187
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2022, R LANG ENV STAT COMP
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Riebesell U, 2015, NAT CLIM CHANGE, V5, P12
Rizzo C, 2022, MINERALS-BASEL, V12, DOI 10.3390/min12020251
Sala MM, 2016, ICES J MAR SCI, V73, P670, DOI 10.1093/icesjms/fsv130
Schlitzer R., 2015, OCEAN DATA VIEW
Sciutteri V, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.840205
Scott KM, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.02096-18
SHARP JH, 1974, LIMNOL OCEANOGR, V19, P984, DOI 10.4319/lo.1974.19.6.0984
Sievert SM, 1999, APPL ENVIRON MICROB, V65, P3834
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Tangherlini M, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9040769
Tarasov VG, 2005, CHEM GEOL, V224, P5, DOI 10.1016/j.chemgeo.2005.07.021
Taucher J, 2021, NAT CLIM CHANGE, V11, P52, DOI 10.1038/s41558-020-00915-5
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tinta T, 2015, ENVIRON MICROBIOL, V17, P3581, DOI 10.1111/1462-2920.12519
Tsiola A, 2023, MICROORGANISMS, V11, DOI 10.3390/microorganisms11020273
Walker BD, 2008, MAR CHEM, V108, P123, DOI 10.1016/j.marchem.2007.11.002
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
Wickham H., 2016, GGPLOT2, DOI 10.1007/978-3-319-24277-4
Wirsen CO, 1998, APPL ENVIRON MICROB, V64, P4057
Yamada N, 2010, J OCEANOGR, V66, P233, DOI 10.1007/s10872-010-0021-0
Zuur AF, 2010, METHODS ECOL EVOL, V1, P3, DOI 10.1111/j.2041-210X.2009.00001.x
NR 97
TC 3
Z9 3
PD AUG
PY 2023
VL 170
IS 8
AR 97
DI 10.1007/s00227-023-04247-8
UT WOS:001017472700001
DA 2025-07-30
ER
PT J
AU Simonato, F
Gómez-Pereira, PR
Fuchs, BM
Amann, R
AF Simonato, Francesca
Gomez-Pereira, Paola R.
Fuchs, Bernhard M.
Amann, Rudolf
TI Bacterioplankton diversity and community composition in the Southern
Lagoon of Venice
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB The Lagoon of Venice is a large water basin that exchanges water with the Northern Adriatic Sea through three large inlets. In this study, the 16S rRNA approach was used to investigate the bacterial diversity and community composition within the southern basin of the Lagoon of Venice and at one inlet in October 2007 and June 2008. Comparative sequence analysis of 645 mostly partial 16S rRNA gene sequences indicated high diversity and dominance of Alphaproteobacteria. Gammaproteobacteria and Bacteroidetes at the lagoon as well as at the inlet station, therefore pointing to significant mixing. Many of these sequences were close to the 16S rRNA of marine, often coastal, bacterioplankton, such as the Roseobacter clade, the family Vibrionaceae, and class Flavobacteria. Sequences of Actinobacteria were indicators of a freshwater input. The composition of the bacterioplankton was quantified by catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH) with a set of rRNA-targeted oligonucleotide probes. CARD-FISH counts corroborated the dominance of members of the phyla Alphaproteobacteria, Gammaproteobacteria and Bacteroidetes. When assessed by a probe set for the quantification of selected clades within Alphaproteobacteria and Gammaproteobacteria, bacterioplankton composition differed between October 2007 and June 2008, and also between the inlet and the lagoon. In particular, members of the readily culturable copiotrophic gammaproteobacterial genera Vibrio, Alteromonas and Pseudoalteromonas were enriched in the southern basin of the Lagoon of Venice. Interestingly, the alphaproteobacterial SAR11 clade and related clusters were also present in high abundances at the inlet and within the lagoon, which was indicative of inflow of water from the open sea. (C) 2010 Elsevier GmbH. All rights reserved.
C1 [Simonato, Francesca; Gomez-Pereira, Paola R.; Fuchs, Bernhard M.; Amann, Rudolf] Max Planck Inst Marine Microbiol MPIMM, D-28359 Bremen, Germany.
RP Amann, R (corresponding author), Max Planck Inst Marine Microbiol MPIMM, Celsiusstr 1, D-28359 Bremen, Germany.
EM ramann@mpi-bremen.de
CR ABREU PC, 1994, J PLANKTON RES, V16, P737, DOI 10.1093/plankt/16.7.737
Allers E, 2008, APPL ENVIRON MICROB, V74, P3274, DOI 10.1128/AEM.01870-07
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Ammerman AJ, 2000, SCIENCE, V289, P1301, DOI 10.1126/science.289.5483.1301
[Anonymous], 1997, ANWENDUNG SITU EINZE
Bartlett DH, 2005, SCIENCE, V310, P1775, DOI 10.1126/science.1122396
Benlloch S, 1995, FEMS MICROBIOL ECOL, V18, P267
Berto D, 2007, MAR POLLUT BULL, V55, P425, DOI 10.1016/j.marpolbul.2007.09.005
Blokesch M, 2008, J BACTERIOL, V190, P7232, DOI 10.1128/JB.00959-08
Borin S, 2009, RES MICROBIOL, V160, P307, DOI 10.1016/j.resmic.2009.04.005
Borneman J, 1997, APPL ENVIRON MICROB, V63, P2647, DOI 10.1128/AEM.63.7.2647-2653.1997
Castel J., 1996, Hydrobiologia, V329, P9
Cavicchioli R, 2003, MICROB ECOL, V45, P203, DOI 10.1007/s00248-002-3008-6
Celussi M, 2009, ESTUAR COAST SHELF S, V84, P154, DOI 10.1016/j.ecss.2009.05.028
Chao A, 2005, ECOL LETT, V8, P148, DOI 10.1111/j.1461-0248.2004.00707.x
CHAO A, 1984, SCAND J STAT, V11, P265
CHAO A, 1993, BIOMETRIKA, V80, P193, DOI 10.1093/biomet/80.1.193
CHAO A, 1992, J AM STAT ASSOC, V87, P210, DOI 10.2307/2290471
Chen XH, 2008, J MICROBIOL BIOTECHN, V18, P194
Colwell R.K., 2005, STAT ESTIMATION SPEC
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
GARAY E, 1985, APPL ENVIRON MICROB, V50, P426, DOI 10.1128/AEM.50.2.426-430.1985
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giuliano L, 1999, MICROBIAL ECOL, V37, P77
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Kemp PF, 2004, FEMS MICROBIOL ECOL, V47, P161, DOI 10.1016/S0168-6496(03)00257-5
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirchman DL, 2003, APPL ENVIRON MICROB, V69, P6587, DOI 10.1128/AEM.69.11.6587-6596.2003
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Losso C, 2010, ENVIRON INT, V36, P92, DOI 10.1016/j.envint.2009.07.017
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Neef A, 1998, MICROBIOL-UK, V144, P3257, DOI 10.1099/00221287-144-12-3257
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
OLIVEIRA AM, 1993, ESTUAR COAST SHELF S, V37, P575, DOI 10.1006/ecss.1993.1074
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Pujalte MJ, 2005, INT J SYST EVOL MICR, V55, P631, DOI 10.1099/ijs.0.63442-0
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Sekar R, 2004, APPL ENVIRON MICROB, V70, P6210, DOI 10.1128/AEM.70.10.6210-6219.2004
Sfriso A, 2007, HYDROBIOLOGIA, V577, P71, DOI 10.1007/s10750-006-0418-3
Sorokin YI, 1996, MAR ECOL PROG SER, V141, P247, DOI 10.3354/meps141247
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
WRIGHT SW, 1991, MAR ECOL PROG SER, V77, P183, DOI 10.3354/meps077183
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Zanon F, 2009, ENVIRON MONIT ASSESS, V152, P35, DOI 10.1007/s10661-008-0294-6
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
NR 66
TC 33
Z9 36
PD APR
PY 2010
VL 33
IS 3
BP 128
EP 138
DI 10.1016/j.syapm.2009.12.006
UT WOS:000278007200004
DA 2025-07-30
ER
PT J
AU Poretsky, RS
Hewson, I
Sun, SL
Allen, AE
Zehr, JP
Moran, MA
AF Poretsky, Rachel S.
Hewson, Ian
Sun, Shulei
Allen, Andrew E.
Zehr, Jonathan P.
Moran, Mary Ann
TI Comparative day/night metatranscriptomic analysis of microbial
communities in the North Pacific subtropical gyre
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Metatranscriptomic analyses of microbial assemblages (< 5 mu m) from surface water at the Hawaiian Ocean Time-Series (HOT) revealed community-wide metabolic activities and day/night patterns of differential gene expression. Pyrosequencing produced 75 558 putative mRNA reads from a day transcriptome and 75 946 from a night transcriptome. Taxonomic binning of annotated mRNAs indicated that Cyanobacteria contributed a greater percentage of the transcripts (54% of annotated sequences) than expected based on abundance (35% of cell counts and 21% 16S rRNA of libraries), and may represent the most actively transcribing cells in this surface ocean community in both the day and night. Major heterotrophic taxa contributing to the community transcriptome included alpha-Proteobacteria (19% of annotated sequences, most of which were SAR11-related) and gamma-Proteobacteria (4%). The composition of transcript pools was consistent with models of prokaryotic gene expression, including operon-based transcription patterns and an abundance of genes predicted to be highly expressed. Metabolic activities that are shared by many microbial taxa (e.g. glycolysis, citric acid cycle, amino acid biosynthesis and transcription and translation machinery) were well represented among the community transcripts. There was an overabundance of transcripts for photosynthesis, C1 metabolism and oxidative phosphorylation in the day compared with night, and evidence that energy acquisition is coordinated with solar radiation levels for both autotrophic and heterotrophic microbes. In contrast, housekeeping activities such as amino acid biosynthesis, membrane synthesis and repair, and vitamin biosynthesis were overrepresented in the night transcriptome. Direct sequencing of these environmental transcripts has provided detailed information on metabolic and biogeochemical responses of a microbial community to solar forcing.
C1 [Poretsky, Rachel S.; Sun, Shulei; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Hewson, Ian; Zehr, Jonathan P.] Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA.
[Allen, Andrew E.] J Craig Venter Inst, San Diego, CA 92121 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Allen AE, 2006, CURR OPIN PLANT BIOL, V9, P264, DOI 10.1016/j.pbi.2006.03.013
[Anonymous], MOL MICROBIAL ECOLOG
Armbrust EV, 2004, SCIENCE, V306, P79, DOI 10.1126/science.1101156
BAUER JE, 1992, NATURE, V357, P667, DOI 10.1038/357667a0
Belasco J.G., 1993, CONTROL MESSENGER RN, P3
Benson DA, 2010, NUCLEIC ACIDS RES, V38, pD46, DOI [10.1093/nar/gkw1070, 10.1093/nar/gks1195, 10.1093/nar/gkx1094, 10.1093/nar/gkp1024, 10.1093/nar/gkg057, 10.1093/nar/gkq1079, 10.1093/nar/gkl986, 10.1093/nar/gkn723, 10.1093/nar/gkr1202]
Bürgmann H, 2007, ENVIRON MICROBIOL, V9, P2742, DOI 10.1111/j.1462-2920.2007.01386.x
Bürgmann H, 2003, APPL ENVIRON MICROB, V69, P1928, DOI 10.1128/AEM.69.4.1928-1935.2003
CAMPBELL L, 1993, DEEP-SEA RES PT I, V40, P2043, DOI 10.1016/0967-0637(93)90044-4
Carpenter LJ, 2004, GLOBAL BIOGEOCHEM CY, V18, DOI 10.1029/2004GB002294
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Derelle E, 2006, P NATL ACAD SCI USA, V103, P11647, DOI 10.1073/pnas.0604795103
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
Gilbert JA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003042
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Ingraham J.L., 1983, GROWTH BACTERIAL CEL
Johnson John L., 1994, P683
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karl D, 1997, NATURE, V388, P533, DOI 10.1038/41474
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Karlin S, 2000, J BACTERIOL, V182, P5238, DOI 10.1128/JB.182.18.5238-5250.2000
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
LANDER E S, 1988, Genomics, V2, P231
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
LIANG P, 1992, SCIENCE, V257, P967, DOI 10.1126/science.1354393
Margulies M, 2005, NATURE, V437, P376, DOI 10.1038/nature03959
Mary I, 2008, ENVIRON MICROBIOL, V10, P2124, DOI 10.1111/j.1462-2920.2008.01633.x
McDonald SM, 2007, AQUAT MICROB ECOL, V50, P75, DOI 10.3354/ame01148
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Overbeek R, 1999, P NATL ACAD SCI USA, V96, P2896, DOI 10.1073/pnas.96.6.2896
Poretsky RS, 2005, APPL ENVIRON MICROB, V71, P4121, DOI 10.1128/AEM.71.7.4121-4126.2005
Pruitt KD, 2005, NUCLEIC ACIDS RES, V33, pD501, DOI 10.1093/nar/gki025
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schaefer JK, 2002, INT J SYST EVOL MICR, V52, P851, DOI [10.1099/ijs.0.01960-0, 10.1099/00207713-52-3-851]
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Tatusov RL, 2000, NUCLEIC ACIDS RES, V28, P33, DOI 10.1093/nar/28.1.33
VANGELDER RN, 1990, P NATL ACAD SCI USA, V87, P1663, DOI 10.1073/pnas.87.5.1663
WARD BB, 1987, NATURE, V327, P226, DOI 10.1038/327226a0
Wawrik B, 2002, APPL ENVIRON MICROB, V68, P3771, DOI 10.1128/AEM.68.8.3771-3779.2002
Woodall CA, 2001, APPL ENVIRON MICROB, V67, P1959, DOI 10.1128/AEM.67.4.1959-1963.2001
Yi YX, 2020, ONCOL LETT, V19, P3316, DOI 10.3892/ol.2020.11439
Zehr JP, 2001, NATURE, V412, P635, DOI 10.1038/35088063
Zhou JH, 2003, CURR OPIN MICROBIOL, V6, P288, DOI 10.1016/S1369-5274(03)00052-3
NR 51
TC 220
Z9 259
PD JUN
PY 2009
VL 11
IS 6
BP 1358
EP 1375
DI 10.1111/j.1462-2920.2008.01863.x
UT WOS:000266597200005
DA 2025-07-30
ER
PT J
AU Lemonnier, C
Perennou, M
Eveillard, D
Fernandez-Guerra, A
Leynaert, A
Marié, L
Morrison, HG
Memery, L
Paillard, C
Maignien, L
AF Lemonnier, Clarisse
Perennou, Morgan
Eveillard, Damien
Fernandez-Guerra, Antonio
Leynaert, Aude
Marie, Louis
Morrison, Hilary G.
Memery, Laurent
Paillard, Christine
Maignien, Lois
TI Linking Spatial and Temporal Dynamic of Bacterioplankton Communities
With Ecological Strategies Across a Coastal Frontal Area
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Ocean frontal systems are widespread hydrological features defining the transition zone between distinct water masses. They are generally of high biological importance as they are often associated with locally enhanced primary production by phytoplankton. However, the composition of bacterial communities in the frontal zone remains poorly understood. In this study, we investigate how a coastal tidal front in Brittany (France) structures the free-living bacterioplankton communities in a spatio-temporal survey across four cruises, five stations and three depths. We used 16S rRNA gene surveys to compare bacterial community structures across 134 seawater samples and defined groups of co-varying taxa (modules) exhibiting coherent ecological patterns across space and time. We found that bacterial communities composition was strongly associated with the biogeochemical characteristics of the different water masses and that the front act as an ecological boundary for free-living bacteria. Seasonal variations in primary producers and their distribution in the water column appeared as the most salient parameters controlling heterotrophic bacteria which dominated the free-living community. Different dynamics of modules observed in this environment were strongly consistent with a partitioning of heterotrophic bacterioplankton in oligotroph and copiotroph ecological strategies. Oligotroph taxa, dominated by SAR11 Clade members, were relatively more abundant in low phytoplankton, high inorganic nutrients water masses, while copiotrophs and particularly opportunist taxa such as Tenacibaculum sp. or Pseudoalteromonas sp. reached their highest abundances during the more productive period. Overall, this study shows a remarkable coupling between bacterioplankton communities dynamics, trophic strategies, and seasonal cycles in a complex coastal environment.
C1 [Lemonnier, Clarisse; Maignien, Lois] Univ Brest UBO, Lab Microbiol Environm Extremes, CNRS, IFREMER, Plouzane, France.
[Lemonnier, Clarisse; Perennou, Morgan; Leynaert, Aude; Memery, Laurent; Paillard, Christine] Univ Brest UBO, Lab Sci Environm Mann, CNRS, IRD,Ifremer, Plouzane, France.
[Eveillard, Damien] Univ Nantes, Lab Sci Numer Nantes, CNRS, Cent Nantes,IMTA, Nantes, France.
[Fernandez-Guerra, Antonio] Max Planck Inst Marine Microbiol, Microbial Genom & Bioinformat Res Grp, Bremen, Germany.
[Fernandez-Guerra, Antonio] Univ Copenhagen, GLOBE Inst, Lundbeck Fdn GeoGenet Ctr, Copenhagen, Denmark.
[Fernandez-Guerra, Antonio] Univ Bremen, Ctr Marine Environm Sci, Bremen, Germany.
[Marie, Louis] Univ Brest, CNRS, IRD, Ifremer,Lab Oceanog Phys & Spatiale, Plouzane, France.
[Morrison, Hilary G.; Maignien, Lois] Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Marine Biol Lab, Woods Hole, MA 02543 USA.
RP Lemonnier, C; Maignien, L (corresponding author), Univ Brest UBO, Lab Microbiol Environm Extremes, CNRS, IFREMER, Plouzane, France.; Lemonnier, C (corresponding author), Univ Brest UBO, Lab Sci Environm Mann, CNRS, IRD,Ifremer, Plouzane, France.; Maignien, L (corresponding author), Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Marine Biol Lab, Woods Hole, MA 02543 USA.
EM clarisse.lemonnier@univ-brest.fr; lois.maignien@univ-brest.fr
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
Aminot A., 2007, DOSAGE AUTOMATIQUE N
Anders S, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-10-r106
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Baltar F, 2016, ENV MICROBIOL REP, V8, P132, DOI 10.1111/1758-2229.12362
Baltar F, 2015, PROG OCEANOGR, V135, P168, DOI 10.1016/j.pocean.2015.05.019
Bastian M., 2009, 3 INT AAAI C WEBL SO, DOI DOI 10.13140/2.1.1341.1520
BIRRIEN JL, 1991, J PLANKTON RES, V13, P721, DOI 10.1093/plankt/13.4.721
Blondel VD, 2008, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2008/10/P10008
Bowman J., 2014, PROKARYOTES OTHER MA, P539, DOI [10.1007/978-3-642-38954-2_135, DOI 10.1007/978-3-642-38954-2_135]
Bryson S, 2017, ISME J, V11, P2781, DOI 10.1038/ismej.2017.128
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cadier M, 2017, J MARINE SYST, V165, P47, DOI 10.1016/j.jmarsys.2016.09.009
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Cotner JB, 2002, ECOSYSTEMS, V5, P105, DOI 10.1007/s10021-001-0059-3
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Eren AM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066643
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fenchel T.M., 1977, Advances in Microbial Ecology, V1, P1
FRANKS PJS, 1992, MAR ECOL PROG SER, V82, P1, DOI 10.3354/meps082001
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2018, ISME J, V12, P2470, DOI 10.1038/s41396-018-0158-1
Ghiglione JF, 2008, BIOGEOSCIENCES, V5, P1751, DOI 10.5194/bg-5-1751-2008
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Haggerty JM, 2017, GLOBAL ECOL BIOGEOGR, V26, P177, DOI 10.1111/geb.12528
HEINANEN A, 1995, MAR ECOL PROG SER, V116, P233, DOI 10.3354/meps116233
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Huggett MJ, 2012, STAND GENOMIC SCI, V6, P11, DOI 10.4056/sigs.2305090
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Koch AL, 2001, BIOESSAYS, V23, P657, DOI 10.1002/bies.1091
Krause S, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00251
Kurtz ZD, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004226
L'Helguen S, 2005, J PLANKTON RES, V27, P263, DOI 10.1093/plankt/fbh174
Langfelder P, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-559
Le Boyer A, 2009, CONT SHELF RES, V29, P1026, DOI 10.1016/j.csr.2008.12.020
Le Fevre J., 1983, OCEANOL ACTA, V1982, P125
LEFEVRE J, 1986, ADV MAR BIOL, V23, P163
Lomas MW, 2006, LIMNOL OCEANOGR, V51, P2453, DOI 10.4319/lo.2006.51.5.2453
LUND J. W. G., 1958, HYDROBIOLOGIA, V11, P143, DOI 10.1007/BF00007865
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Madsen EL, 2011, CURR OPIN BIOTECH, V22, P456, DOI 10.1016/j.copbio.2011.01.008
Mahé F, 2014, PEERJ, V2, DOI 10.7717/peerj.593
Martinez-Garcia M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035314
Mayali X, 2012, ISME J, V6, P1210, DOI 10.1038/ismej.2011.175
Minoche AE, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-11-r112
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Nelson MC, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0094249
Newton RJ, 2016, AQUAT MICROB ECOL, V78, P51, DOI 10.3354/ame01801
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Oksanen J., 2007, Community Ecology Package, V10, P719
OLSON DB, 1985, J MAR RES, V43, P113, DOI 10.1357/002224085788437325
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Pizzetti I, 2016, MAR ECOL-EVOL PERSP, V37, P1386, DOI 10.1111/maec.12355
Pomeroy LR, 2007, OCEANOGRAPHY, V20, P28, DOI 10.5670/oceanog.2007.45
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Raes EJ, 2018, P NATL ACAD SCI USA, V115, pEB266, DOI 10.1073/pnas.1719335115
Raes J, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.6
RAGUENEAU O, 1994, MAR CHEM, V45, P43, DOI 10.1016/0304-4203(94)90090-6
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Smith JM, 2014, ISME J, V8, P1704, DOI 10.1038/ismej.2014.11
SOURNIA A, 1988, INT REV GES HYDROBIO, V73, P511
SOURNIA A, 1994, PROG OCEANOGR, V34, P109, DOI 10.1016/0079-6611(94)90004-3
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Strickland J.D. H., 1969, The Quarterly Review of Biology, V44, P327
Tada Y, 2012, J OCEANOGR, V68, P509, DOI 10.1007/s10872-012-0114-z
TAYLOR AH, 1990, MAR ECOL PROG SER, V59, P1, DOI 10.3354/meps059001
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tréguer P, 2014, J MARINE SYST, V139, P79, DOI 10.1016/j.jmarsys.2014.05.019
VIDEAU C, 1987, MAR ECOL PROG SER, V35, P141, DOI 10.3354/meps035141
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wan XS, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03363-0
Zorz J, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00281
NR 84
TC 10
Z9 10
PD JUN 9
PY 2020
VL 7
AR 376
DI 10.3389/fmars.2020.00376
UT WOS:000538994800001
DA 2025-07-30
ER
PT J
AU Rappe, MS
Kemp, PF
Giovannoni, SJ
AF Rappe, MS
Kemp, PF
Giovannoni, SJ
TI Phylogenetic diversity of marine coastal picoplankton 16S rRNA genes
cloned from the continental shelf off Cape Hatteras, North Carolina
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB The phylogenetic diversity of a continental-shelf picoplankton community was examined by analyzing 16S ribosomal RNA (rRNA) genes amplified from environmental DNA with bacterial-specific primers and the polymerase chain reaction (PCR). Picoplankton populations collected from the pycnocline (10 m) over the eastern continental shelf of the United States near Cape Hatteras, North Carolina, served as the source of bulk nucleic acids used in this study. A large proportion of the 169 rDNA clones recovered (33%) were related to plastid 16S rRNA genes, including plastids from both chromophyte and chlorophyte algae. Most bacterial gene clones (75% of bacterial clones, 50% of the total) were closely related to rRNA gene lineages that had been discovered previously in clone libraries from open-ocean marine habitats, including the SAR86 cluster (gamma-Proteobacteria), SAR83, SAR11, and SAR116 clusters (all or-Proteobacteria), as well as the marine Gram-positive cluster (high G+C Gram-positive). Most of the remaining bacterial clones recovered were phylogenetically related to the gamma and beta subclasses of the Proteobacteria, including an rDNA lineage within the type 1 methylotroph clade of the beta subclass. The abundance of plastid rDNAs and the lack of cyanobacterial-related clones, as well as the presence of beta-Proteobacteria, are features of this coastal picoplankton gene clone library that distinguish it from similar studies of oligotrophic open-ocean sites. Overall, however, these data indicate that a limited number of as yet uncultured bacterioplankton lineages, related to those previously observed in the open ocean, can account for most cells in this coastal marine bacterioplankton assemblage.
C1 OREGON STATE UNIV, DEPT MICROBIOL, CORVALLIS, OR 97331 USA.
CR AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], 1991, Vopr Virusol, V36, P175
[Anonymous], 1988, NATURE CONTINENTAL S, DOI DOI 10.1016/C2013-0-11665-0
Ashen JB, 1996, J PHYCOL, V32, P286, DOI 10.1111/j.0022-3646.1996.00286.x
BAUMANN L, 1972, J BACTERIOL, V110, P402, DOI 10.1128/JB.110.1.402-429.1972
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
BROSIUS J, 1978, P NATL ACAD SCI USA, V75, P4801, DOI 10.1073/pnas.75.10.4801
BURRAGE DM, 1988, J PHYS OCEANOGR, V18, P1309, DOI 10.1175/1520-0485(1988)018<1309:SHATSF>2.0.CO;2
CHAPMAN DC, 1993, J PHYS OCEANOGR, V23, P2487, DOI 10.1175/1520-0485(1993)023<2487:OTEOTS>2.0.CO;2
Cilia V, 1996, MOL BIOL EVOL, V13, P451, DOI 10.1093/oxfordjournals.molbev.a025606
DAMS E, 1988, NUCLEIC ACIDS RES, V16, P87
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DISTEL DL, 1988, J BACTERIOL, V170, P2506, DOI 10.1128/jb.170.6.2506-2510.1988
DOUGLAS SE, 1991, J MOL EVOL, V33, P267, DOI 10.1007/BF02100678
DUCKLOW HW, 1994, MICROBIAL ECOL, V28, P303, DOI 10.1007/BF00166822
FARRELLY V, 1995, APPL ENVIRON MICROB, V61, P2798, DOI 10.1128/AEM.61.7.2798-2801.1995
FELSENSTEIN J, 1985, EVOLUTION, V39, P783, DOI 10.1111/j.1558-5646.1985.tb00420.x
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
GHERNA R, 1992, SYST APPL MICROBIOL, V15, P513, DOI 10.1016/S0723-2020(11)80110-4
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P3584, DOI 10.1128/jb.170.8.3584-3592.1988
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P720, DOI 10.1128/jb.170.2.720-726.1988
Giovannoni SJ, 1995, NATO ADV SCI INST SE, V38, P217
GIOVANNONI SJ, 1996, EVOLUTION MICROBIAL
GLOVER HE, 1986, MAR BIOL, V91, P193, DOI 10.1007/BF00569435
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
GUTELL RR, 1994, NUCLEIC ACIDS RES, V22, P3502, DOI 10.1093/nar/22.17.3502
HIRAISHI A, 1991, ARCH MICROBIOL, V155, P330
HIRAISHI A, 1994, CURR MICROBIOL, V28, P25, DOI 10.1007/BF01575982
IRGENS RL, 1989, CURR MICROBIOL, V18, P261, DOI 10.1007/BF01570303
JENKINS O, 1987, INT J SYST BACTERIOL, V37, P446, DOI 10.1099/00207713-37-4-446
KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
KOPCZYNSKI ED, 1994, APPL ENVIRON MICROB, V60, P746, DOI 10.1128/AEM.60.2.746-748.1994
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
MAIDAK BL, 1994, NUCLEIC ACIDS RES, V22, P3485, DOI 10.1093/nar/22.17.3485
MARSHALL HG, 1989, CONT SHELF RES, V9, P153, DOI 10.1016/0278-4343(89)90089-7
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
MURPHY LS, 1985, LIMNOL OCEANOGR, V30, P47, DOI 10.4319/lo.1985.30.1.0047
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
OLSEN GJ, 1994, COMPUT APPL BIOSCI, V10, P41
PASTER BJ, 1985, SYST APPL MICROBIOL, V6, P34, DOI 10.1016/S0723-2020(85)80008-4
Rappe MS, 1995, J PHYCOL, V31, P979, DOI 10.1111/j.0022-3646.1995.00979.x
REHNSTAM AS, 1993, FEMS MICROBIOL ECOL, V102, P161
ROBISONCOX JF, 1995, APPL ENVIRON MICROB, V61, P1240, DOI 10.1128/AEM.61.4.1240-1245.1995
ROWE GT, 1986, NATURE, V324, P559, DOI 10.1038/324559a0
SAIKI RK, 1988, SCIENCE, V239, P487, DOI 10.1126/science.2448875
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
SCHLESNER H, 1986, SYST APPL MICROBIOL, V8, P174, DOI 10.1016/S0723-2020(86)80072-8
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
SHERMAN K, 1988, CONTINENTAL SHELVES, P279
SHIBA T, 1991, SYST APPL MICROBIOL, V14, P140, DOI 10.1016/S0723-2020(11)80292-4
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
TSUJI K, 1990, J GEN MICROBIOL, V136, P1
Verity PG, 1996, CONT SHELF RES, V16, P1087, DOI 10.1016/0278-4343(95)00041-0
WAKABAYASHI H, 1986, INT J SYST BACTERIOL, V36, P396, DOI 10.1099/00207713-36-3-396
WALSH JJ, 1991, NATURE, V350, P53, DOI 10.1038/350053a0
WALSH JJ, 1985, DEEP-SEA RES, V32, P853, DOI 10.1016/0198-0149(85)90120-7
WARD DM, 1992, ADV MICROB ECOL, V12, P219
WARD N, 1995, APPL ENVIRON MICROB, V61, P2270, DOI 10.1128/AEM.61.6.2270-2275.1995
WILLEMS A, 1991, INT J SYST BACTERIOL, V41, P445, DOI 10.1099/00207713-41-3-445
WOESE CR, 1985, SYST APPL MICROBIOL, V6, P25, DOI 10.1016/S0723-2020(85)80007-2
WOESE CR, 1984, SYST APPL MICROBIOL, V5, P327, DOI 10.1016/S0723-2020(84)80035-1
WOESE CR, 1984, SYST APPL MICROBIOL, V5, P315, DOI 10.1016/S0723-2020(84)80034-X
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
XIA Y, 1994, SYST APPL MICROBIOL, V17, P197, DOI 10.1016/S0723-2020(11)80007-X
NR 71
TC 202
Z9 214
PD JUL
PY 1997
VL 42
IS 5
BP 811
EP 826
DI 10.4319/lo.1997.42.5.0811
UT WOS:A1997YK66100003
DA 2025-07-30
ER
PT J
AU Dupont, CL
McCrow, JP
Valas, R
Moustafa, A
Walworth, N
Goodenough, U
Roth, R
Hogle, SL
Bai, J
Johnson, ZI
Mann, E
Palenik, B
Barbeau, KA
Venter, JC
Allen, AE
AF Dupont, Chris L.
McCrow, John P.
Valas, Ruben
Moustafa, Ahmed
Walworth, Nathan
Goodenough, Ursula
Roth, Robyn
Hogle, Shane L.
Bai, Jing
Johnson, Zackary I.
Mann, Elizabeth
Palenik, Brian
Barbeau, Katherine A.
Venter, J. Craig
Allen, Andrew E.
TI Genomes and gene expression across light and productivity gradients in
eastern subtropical Pacific microbial communities
SO ISME JOURNAL
DT Article
AB Transitions in community genomic features and biogeochemical processes were examined in surface and subsurface chlorophyll maximum (SCM) microbial communities across a trophic gradient from mesotrophic waters near San Diego, California to the oligotrophic Pacific. Transect end points contrasted in thermocline depth, rates of nitrogen and CO2 uptake, new production and SCM light intensity. Relative to surface waters, bacterial SCM communities displayed greater genetic diversity and enrichment in putative sulfur oxidizers, multiple actinomycetes, low-light-adapted Prochlorococcus and cell-associated viruses. Metagenomic coverage was not correlated with transcriptional activity for several key taxa within Bacteria. Low-light-adapted Prochlorococcus, Synechococcus, and low abundance gamma-proteobacteria enriched in the > 3.0-mu m size fraction contributed disproportionally to global transcription. The abundance of these groups also correlated with community functions, such as primary production or nitrate uptake. In contrast, many of the most abundant bacterioplankton, including SAR11, SAR86, SAR112 and high-light-adapted Prochlorococcus, exhibited low levels of transcriptional activity and were uncorrelated with rate processes. Eukaryotes such as Haptophytes and non-photosynthetic Aveolates were prevalent in surface samples while Mamielles and Pelagophytes dominated the SCM. Metatranscriptomes generated with ribosomal RNA-depleted mRNA (total mRNA) coupled to in vitro polyadenylation compared with polyA-enriched mRNA revealed a trade-off in detection eukaryotic organelle and eukaryotic nuclear origin transcripts, respectively. Gene expression profiles of SCM eukaryote populations, highly similar in sequence identity to the model pelagophyte Pelagomonas sp. CCMP1756, suggest that pelagophytes are responsible for a majority of nitrate assimilation within the SCM.
C1 [Dupont, Chris L.; McCrow, John P.; Valas, Ruben; Walworth, Nathan; Bai, Jing; Venter, J. Craig; Allen, Andrew E.] J Craig Venter Inst, Microbial & Environm Genom Grp, La Jolla, CA 92037 USA.
[Moustafa, Ahmed] Amer Univ Cairo, Dept Biol & Biotechnol Grad Program, New Cairo, Egypt.
[Goodenough, Ursula; Roth, Robyn] Washington Univ, Dept Biol, St Louis, MO 63130 USA.
[Hogle, Shane L.; Palenik, Brian; Barbeau, Katherine A.; Allen, Andrew E.] Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
[Johnson, Zackary I.] Nicholas Sch Environm, Marine Lab, Beaufort, NC USA.
[Johnson, Zackary I.] Duke Univ, Dept Biol, Durham, NC USA.
[Mann, Elizabeth] Skidaway Inst Oceanog, Savannah, GA USA.
RP Allen, AE (corresponding author), J Craig Venter Inst, Microbial & Environm Genom Grp, 4120 Capricorn Lane, La Jolla, CA 92037 USA.
EM aallen@jcvi.org
CR Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
ANDERSEN RA, 1993, J PHYCOL, V29, P701, DOI 10.1111/j.0022-3646.1993.00701.x
[Anonymous], NATURE GEOSCIENCES
[Anonymous], 2007, ORIGINS GENOME ARCHI
[Anonymous], DEEP SEA RES 2
Bateman A, 2002, NUCLEIC ACIDS RES, V30, P276, DOI [10.1093/nar/gkp985, 10.1093/nar/gkr1065, 10.1093/nar/gkh121]
Benson DA, 2012, NUCLEIC ACIDS RES, V40, pD48, DOI 10.1093/nar/gkr1202
Chitsaz H, 2011, NAT BIOTECHNOL, V29, P915, DOI 10.1038/nbt.1966
Collier JL, 2003, DEEP-SEA RES PT II, V50, P2405, DOI 10.1016/S0967-0645(03)00127-9
Corredor JE, 2004, APPL ENVIRON MICROB, V70, P5459, DOI 10.1128/AEM.70.9.5459-5468.2004
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
EPPLEY RW, 1979, NATURE, V282, P677, DOI 10.1038/282677a0
Flicek P, 2011, NUCLEIC ACIDS RES, V39, pD800, DOI 10.1093/nar/gkq1064
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
Goericke R, 2011, CAL COOP OCEAN FISH, V52, P182
Grigoriev IV, 2012, NUCLEIC ACIDS RES, V40, pD26, DOI 10.1093/nar/gkr947
Hazen TC, 2010, SCIENCE, V330, P204, DOI 10.1126/science.1195979
Heuser JE, 2011, J ELECTRON MICROSC, V60, pS3, DOI 10.1093/jmicro/dfr044
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
John DE, 2007, ISME J, V1, P517, DOI 10.1038/ismej.2007.70
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kanehisa M, 2012, NUCLEIC ACIDS RES, V40, pD109, DOI 10.1093/nar/gkr988
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
Kembel SW, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023214
Lesniewski RA, 2012, ISME J, V6, P2257, DOI 10.1038/ismej.2012.63
Lucas AJ, 2011, LIMNOL OCEANOGR, V56, P611, DOI 10.4319/lo.2011.56.2.0611
Makino Y, 2007, J AM SOC HORTIC SCI, V132, P239, DOI 10.21273/JASHS.132.2.239
Markowitz VM, 2010, NUCLEIC ACIDS RES, V38, pD382, DOI 10.1093/nar/gkp887
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Morgan JL, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010209
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Niu BF, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-187
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Pruitt KD, 2007, NUCLEIC ACIDS RES, V35, pD61, DOI 10.1093/nar/gkl842
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Rusch DB, 2010, P NATL ACAD SCI USA, V107, P16184, DOI 10.1073/pnas.1009513107
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Schuster G, 1999, PLANT PHYSIOL, V120, P937, DOI 10.1104/pp.120.4.937
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
SHUTER BJ, 1983, AM NAT, V122, P26, DOI 10.1086/284116
Singtripop T, 2007, J INSECT PHYSIOL, V53, P933, DOI 10.1016/j.jinsphys.2007.03.005
Slomovic S, 2005, MOL CELL BIOL, V25, P6427, DOI 10.1128/MCB.25.15.6427-6435.2005
Stamatakis A, 2008, SYST BIOL, V57, P758, DOI 10.1080/10635150802429642
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Sunda WG., 2005, Algal Culturing Techniques, V4, P35, DOI 10.1007/ s13398-0140173-7.2
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Toledo G, 2003, LIMNOL OCEANOGR, V48, P1744, DOI 10.4319/lo.2003.48.5.1744
Unrein F, 2014, ISME J, V8, P164, DOI 10.1038/ismej.2013.132
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Whelan S, 2001, MOL BIOL EVOL, V18, P691, DOI 10.1093/oxfordjournals.molbev.a003851
Worden AZ, 2012, CURR BIOL, V22, pR675, DOI 10.1016/j.cub.2012.07.054
Wu M, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-10-r151
Yool A, 2007, NATURE, V447, P999, DOI 10.1038/nature05885
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 68
TC 84
Z9 97
PD MAY
PY 2015
VL 9
IS 5
BP 1076
EP 1092
DI 10.1038/ismej.2014.198
UT WOS:000353354100003
DA 2025-07-30
ER
PT J
AU Djurhuus, A
Jorgensen, J
Hátún, H
Debes, HH
Christiansen, DH
AF Djurhuus, Anni
Jorgensen, Johanna
Hatun, Hjalmar
Debes, Hogni Hammershaimb
Christiansen, Debes Hammershaimb
TI Seasonal progression of microbial communities on the Faroe shelf
SO MARINE BIOLOGY RESEARCH
DT Article
AB Microorganisms, such as phytoplankton and bacterioplankton, are affected by turnover rates of nutrients and show great fluctuations over seasons. In productive coastal areas, the biomass of bacterioplankton can be in the same range as that of phytoplankton. In these coastal areas the initiation and intensity of the spring bloom is highly variable between years. This variability is reflected in higher trophic levels and is therefore of major importance for ecosystems such as that of the Faroe Islands. However, one of the major unknown components is the bacterioplankton. We report a study on seasonal dynamics from March-September of nutrients, phytoplankton composition and their co-fluctuation with bacterial succession. For this purpose SAR11, Bacteroidetes, Roseobacter and cyanobacteria were relatively quantified using real-time PCR based on 16S DNA and total bacteria was assessed by epifluorescence microscopy. The phytoplankton species were identified using the inverted microscope technique. These data showed a pronounced diatom spring bloom and autumn bloom reflected by a corresponding decrease in nitrate and silicate (R-2 = 0.72 and 0.77, respectively). The cessation of the phytoplankton bloom did not, however, seem to be explained by nutrient limitation. Roseobacter bloomed during the phytoplankton spring bloom, while the other bacterial groups increased during low phytoplankton biomass. This suggests that algal substrate availability and environmental conditions provide the opportunity for bacterial communities to develop a post-spring bloom. This study reveals how planktonic bacteria adapt with their surroundings, enhancing the microbial loop post-spring bloom and providing a potentially important food resource for higher trophic levels.
C1 [Djurhuus, Anni; Jorgensen, Johanna; Hatun, Hjalmar; Debes, Hogni Hammershaimb] Faroe Marine Res Inst, FO-100 Torshavn, Faroe Islands, Denmark.
[Christiansen, Debes Hammershaimb] Faroe Marine Res Inst, FO-100 Torshavn, Faroe Islands, Denmark.
RP Djurhuus, A (corresponding author), Faroe Marine Res Inst, Noatun 1, FO-100 Torshavn, Faroe Islands, Denmark.
EM anni.djurhuus@gmail.com
CR Agardh CA., 1832, CONSPECTUS, V4, P49
Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso-Gutiérrez J, 2009, FEMS MICROBIOL ECOL, V70, P493, DOI 10.1111/j.1574-6941.2009.00766.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Brightwell T., 1858, Quarterly Journal of Microscopical Science, V6, P93, DOI DOI 10.1111/J.1365-2818.1858.TB04544.X
BRZEZINSKI MA, 1985, J PHYCOL, V21, P347
Cleve P.T., 1889, VIDENSKABELIGE UDBYT, P53
Debes H, 2008, HYDROBIOLOGIA, V600, P247, DOI 10.1007/s10750-007-9238-3
Debes H, 2008, J MARINE SYST, V74, P686, DOI 10.1016/j.jmarsys.2008.07.004
EGGE JK, 1992, MAR ECOL PROG SER, V83, P281, DOI 10.3354/meps083281
Eliasen SK, 2005, J MARINE SYST, V56, P352, DOI 10.1016/j.jmarsys.2005.03.005
Fandino LB, 2005, AQUAT MICROB ECOL, V40, P251, DOI 10.3354/ame040251
Fouilland E, 2014, FEMS MICROBIOL ECOL, V87, P757, DOI 10.1111/1574-6941.12262
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gaard E, 2002, LAR MAR ECOSYST, P245
Gaard E, 1999, J PLANKTON RES, V21, P1133, DOI 10.1093/plankt/21.6.1133
Gaard E, 1998, ICES J MAR SCI, V55, P688, DOI 10.1006/jmsc.1998.0373
Gaard E., 1996, ICES J MAR SCI, V44, P95
Galloway JN, 2004, BIOGEOCHEMISTRY, V70, P153, DOI 10.1007/s10533-004-0370-0
Gattuso JP, 1998, ANNU REV ECOL SYST, V29, P405, DOI 10.1146/annurev.ecolsys.29.1.405
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Häkkinen S, 2004, SCIENCE, V304, P555, DOI 10.1126/science.1094917
Hallfors Guy, 2004, Baltic Sea Environment Proceedings, V95, P1
Hansen B, 2005, ICES J MAR SCI, V62, P1224, DOI 10.1016/j.icesjms.2005.04.014
Hasle Grethe R., 1997, P5, DOI 10.1016/B978-012693018-4/50004-5
Hatosy SM, 2013, ECOLOGY, V94, P1898, DOI 10.1890/12-2125.1
Hátún H, 2005, SCIENCE, V309, P1841, DOI 10.1126/science.1114777
Henson SA, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003960
Iversen KR, 2011, POLAR BIOL, V34, P731, DOI 10.1007/s00300-010-0929-2
JACOBSEN A, 1995, J EXP MAR BIOL ECOL, V187, P239, DOI 10.1016/0022-0981(94)00183-E
Jones SE, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00318
Kallmeyer J, 2012, P NATL ACAD SCI USA, V109, P16213, DOI 10.1073/pnas.1203849109
Kent AD, 2007, ISME J, V1, P38, DOI 10.1038/ismej.2007.6
KIORBOE T, 1993, ADV MAR BIOL, V29, P1, DOI 10.1016/S0065-2881(08)60129-7
Kirchman D.L., 2008, Microbial Ecology of the Oceans, V2nd
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Kutzing F.T., 1844, Die Kieselschaligen Bacillarien oder Diatomeen
Larsen KMH, 2009, J MARINE SYST, V78, P9, DOI 10.1016/j.jmarsys.2009.02.003
Li WKW, 2004, DEEP-SEA RES PT I, V51, P1529, DOI 10.1016/j.dsr.2004.06.012
Mann K.H., 2006, DYNAMICS MARINE ECOS, Vthird
Marañón E, 2007, AQUAT MICROB ECOL, V48, P261, DOI 10.3354/ame048261
MARGALEF R, 1978, OCEANOL ACTA, V1, P493
Menden-Deuer S, 2000, LIMNOL OCEANOGR, V45, P569, DOI 10.4319/lo.2000.45.3.0569
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Murrell MC, 2002, ESTUARIES, V25, P19, DOI 10.1007/BF02696046
Neufeld JD, 2008, APPL ENVIRON MICROB, V74, P7321, DOI 10.1128/AEM.01266-08
Oksanen J., 2013, PACKAGE VEGAN COMMUN
Parsons T.R., 1984, MANUAL CHEM BIOL MET, V1, P173
Pfaffl MW, 2001, NUCLEIC ACIDS RES, V29, DOI 10.1093/nar/29.9.e45
Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
Ramakers C, 2003, NEUROSCI LETT, V339, P62, DOI 10.1016/S0304-3940(02)01423-4
Ramette A, 2007, FEMS MICROBIOL ECOL, V62, P142, DOI 10.1111/j.1574-6941.2007.00375.x
Rasmussen TAS, 2014, CONT SHELF RES, V88, P171, DOI 10.1016/j.csr.2014.07.014
Rey F, 2012, ICES J MAR SCI, V69, P208, DOI 10.1093/icesjms/fss007
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Schattenhofer M., 2009, THESIS U BREMEN
SIMON M, 1992, MAR ECOL PROG SER, V86, P103, DOI 10.3354/meps086103
Sipura J, 2003, AQUAT MICROB ECOL, V33, P181, DOI 10.3354/ame033181
Smetacek V., 1975, THESIS U KIEL GERMAN
Steingrund P, 2005, ICES J MAR SCI, V62, P163, DOI 10.1016/j.icesjms.2004.08.019
STRATHMANN RR, 1967, LIMNOL OCEANOGR, V12, P411, DOI 10.4319/lo.1967.12.3.0411
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suzuki M, 2001, INT J SYST EVOL MICR, V51, P1639, DOI 10.1099/00207713-51-5-1639
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Throndsen J, 2001, Marine Mikroalger I Farger
TOWNSEND DW, 1994, DEEP-SEA RES PT I, V41, P747, DOI 10.1016/0967-0637(94)90075-2
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Utermohl Hans, 1958, Internationale Vereinigung Fur Theoretische Und Angewandte Limnologie: Mitteilungen, DOI DOI 10.1080/05384680.1958.11904091
VAULOT D, 1989, CYTOMETRY, V10, P629, DOI 10.1002/cyto.990100519
Vaulot D, 2008, FEMS MICROBIOL REV, V32, P795, DOI 10.1111/j.1574-6976.2008.00121.x
Watanabe K, 2001, J MICROBIOL METH, V44, P253, DOI 10.1016/S0167-7012(01)00220-2
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
NR 78
TC 2
Z9 2
PY 2015
VL 11
IS 9
BP 895
EP 908
DI 10.1080/17451000.2015.1041532
UT WOS:000362342500001
DA 2025-07-30
ER
PT J
AU Walsh, EA
Smith, DC
Sogin, ML
D'Hondt, S
AF Walsh, Emily A.
Smith, David C.
Sogin, Mitchell L.
D'Hondt, Steven
TI Bacterial and archaeal biogeography of the deep chlorophyll maximum in
the South Pacific Gyre
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB We used 16S rRNA gene tag pyro sequencing to examine the biogeography of bacterial and archaeal community composition in the deep chlorophyll maximum (DCM) of the South Pacific Gyre (SPG), the largest and most oligotrophic region of the world ocean. Dominant DCM bacterial taxa, including Prochlorococcus, SAR11, SAR406, and SAR86, were present at each sampled site in similar proportions, although the sites are separated by thousands of kilometers and up to 100 m in water depth. Marine Group II (MGII) and MGIII Euryarcheota dominated the archaeal assemblages of the DCM at these sites. Bray-Curtis indices show that assemblage composition of these sites is > 70% similar for Bacteria and > 80% similar for Archaea. Despite these similarities, communities of the central SPG, the western SPG margin, and the southern SPG margin are distinguishable from each other. Comparison of our bacterial results to samples from the DCM of the North Pacific Gyre (NPG) and the relatively nutrient-and chlorophyll-rich Equatorial Pacific (EQP) shows that DCM bacterial assemblage composition is > 50% similar throughout all 3 regions. Nonetheless, the SPG, NPG, and EQP assemblages are statistically distinct from each other (ANOSIM, p = 0.001), with the communities of the 2 gyres resembling each other more closely than either resembles the EQP community (which lives geographically between them). Variation in assemblage composition correlates with sea-surface chlorophyll concentration (r(2) = 0.71, p < 0.003). This study demonstrates that the DCM horizons of different oceanic regions harbor statistically distinct communities that are consistent within regions for thousands of kilometers.
C1 [Walsh, Emily A.; Smith, David C.; D'Hondt, Steven] Univ Rhode Isl, Grad Sch Oceanog, Narragansett, RI 02882 USA.
[Sogin, Mitchell L.] Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA 02543 USA.
RP Walsh, EA (corresponding author), Univ Rhode Isl, Grad Sch Oceanog, Narragansett Bay Campus,215 South Ferry Rd, Narragansett, RI 02882 USA.
EM ewalsh@gso.uri.edu
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Aller JY, 2008, FEMS MICROBIOL ECOL, V65, P74, DOI 10.1111/j.1574-6941.2008.00498.x
Baas Becking L.G.M., 1934, GEOBIOLOGIE INLEIDIN
Behrenfeld MJ, 1997, LIMNOL OCEANOGR, V42, P1, DOI 10.4319/lo.1997.42.1.0001
BOYLE TP, 1990, RES J WATER POLLUT C, V62, P749
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Clarke KR., 2006, PRIMER VERSION 7 USE
D'Hondt S, 2009, P NATL ACAD SCI USA, V106, P11651, DOI 10.1073/pnas.0811793106
Dufour P, 1999, MAR ECOL PROG SER, V179, P285, DOI 10.3354/meps179285
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Engelbrektson A, 2010, ISME J, V4, P642, DOI 10.1038/ismej.2009.153
Fenchel T, 2004, BIOSCIENCE, V54, P777, DOI 10.1641/0006-3568(2004)054[0777:TUOSSP]2.0.CO;2
Friedline CJ, 2012, BIOGEOSCIENCES, V9, P2177, DOI 10.5194/bg-9-2177-2012
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Gregg WW, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021808
Halm H, 2012, ISME J, V6, P1238, DOI 10.1038/ismej.2011.182
Hewson I, 2006, AQUAT MICROB ECOL, V43, P11, DOI 10.3354/ame043011
Hibbing ME, 2010, NAT REV MICROBIOL, V8, P15, DOI 10.1038/nrmicro2259
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Huisman J, 2006, NATURE, V439, P322, DOI 10.1038/nature04245
Hunt DE, 2013, APPL ENVIRON MICROB, V79, P177, DOI 10.1128/AEM.02155-12
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Martiny JBH, 2011, P NATL ACAD SCI USA, V108, P7850, DOI 10.1073/pnas.1016308108
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
Morel A, 2007, LIMNOL OCEANOGR, V52, P217, DOI 10.4319/lo.2007.52.1.0217
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Oksansen J., 2011, vegan: community ecology package
Papke RT, 2003, ENVIRON MICROBIOL, V5, P650, DOI 10.1046/j.1462-2920.2003.00460.x
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pennington JT, 2006, PROG OCEANOGR, V69, P285, DOI 10.1016/j.pocean.2006.03.012
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Polovina JJ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL031745
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Schauer R, 2010, ISME J, V4, P159, DOI 10.1038/ismej.2009.106
Shi XL, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007657
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Weston K, 2005, J PLANKTON RES, V27, P909, DOI 10.1093/plankt/fbi064
Whitaker RJ, 2003, SCIENCE, V301, P976, DOI 10.1126/science.1086909
Winter C, 2008, MICROB ECOL, V56, P383, DOI 10.1007/s00248-007-9343-x
NR 51
TC 22
Z9 26
PY 2015
VL 75
IS 1
BP 1
EP 13
DI 10.3354/ame01746
UT WOS:000354392600001
DA 2025-07-30
ER
PT J
AU Sowell, SM
Abraham, PE
Shah, M
Verberkmoes, NC
Smith, DP
Barofsky, DF
Giovannoni, SJ
AF Sowell, Sarah M.
Abraham, Paul E.
Shah, Manesh
Verberkmoes, Nathan C.
Smith, Daniel P.
Barofsky, Douglas F.
Giovannoni, Stephen J.
TI Environmental proteomics of microbial plankton in a highly productive
coastal upwelling system
SO ISME JOURNAL
DT Article
AB Metaproteomics is one of a suite of new approaches providing insights into the activities of microorganisms in natural environments. Proteins, the final products of gene expression, indicate cellular priorities, taking into account both transcriptional and posttranscriptional control mechanisms that control adaptive responses. Here, we report the proteomic composition of the < 1.2 mu m fraction of a microbial community from Oregon coast summer surface waters, detected with two-dimensional liquid chromatography coupled with electrospray tandem mass spectrometry. Spectra corresponding to proteins involved in protein folding and biosynthesis, transport, and viral capsid structure were the most frequently detected. A total of 36% of all the detected proteins were best matches to the SAR11 clade, and other abundant coastal microbial clades were also well represented, including the Roseobacter clade (17%), oligotrophic marine gammaproteobacteria group (6%), OM43 clade (1%). Viral origins were attributed to 2.5% of proteins. In contrast to oligotrophic waters, phosphate transporters were not highly detected in this nutrient-rich system. However, transporters for amino acids, taurine, polyamines and glutamine synthetase were among the most highly detected proteins, supporting predictions that carbon and nitrogen are more limiting than phosphate in this environment. Intriguingly, one of the highly detected proteins was methanol dehydrogenase originating from the OM43 clade, providing further support for recent reports that the metabolism of one-carbon compounds by these streamlined methylotrophs might be an important feature of coastal ocean biogeochemistry. The ISME Journal (2011) 5, 856-865; doi:10.1038/ismej.2010.168; published online 11 November 2010
C1 [Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Sowell, Sarah M.; Smith, Daniel P.] Oregon State Univ, Mol & Cellular Biol Program, Corvallis, OR 97331 USA.
[Abraham, Paul E.; Shah, Manesh; Verberkmoes, Nathan C.] Oak Ridge Natl Lab, Div Chem, Oak Ridge, TN 37831 USA.
[Abraham, Paul E.; Shah, Manesh; Verberkmoes, Nathan C.] Oak Ridge Natl Lab, Biosci Div, Oak Ridge, TN 37831 USA.
[Abraham, Paul E.] Univ Tennessee, Grad Sch Genome Sci & Technol, Knoxville, TN USA.
[Barofsky, Douglas F.] Oregon State Univ, Dept Chem, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, 220 Nash Hall, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Button DK, 2000, LIMNOL OCEANOGR, V45, P499, DOI 10.4319/lo.2000.45.2.0499
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dyhrman ST, 2006, APPL ENVIRON MICROB, V72, P1452, DOI 10.1128/AEM.72.2.1452-1458.2006
ENG JK, 1994, J AM SOC MASS SPECTR, V5, P976, DOI 10.1016/1044-0305(94)80016-2
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Goericke R, 2002, LIMNOL OCEANOGR, V47, P290, DOI 10.4319/lo.2002.47.1.0290
Hoch MP, 2006, LIMNOL OCEANOGR-METH, V4, P308, DOI 10.4319/lom.2006.4.308
Kan Jinjun, 2005, Saline Syst, V1, P7, DOI 10.1186/1746-1448-1-7
Karp-Boss L, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2003JC002184
LEE S, 1987, APPL ENVIRON MICROB, V53, P1298, DOI 10.1128/AEM.53.6.1298-1303.1987
Lo I, 2007, NATURE, V446, P537, DOI 10.1038/nature05624
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
McDonald WH, 2002, INT J MASS SPECTROM, V219, P245, DOI 10.1016/S1387-3806(02)00563-8
Miller TR, 2004, APPL ENVIRON MICROB, V70, P3383, DOI 10.1128/AEM.70.6.3383-3391.2004
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Muller-Karger FE, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021346
PARK K, 1967, LIMNOL OCEANOGR, V12, P353, DOI 10.4319/lo.1967.12.2.0353
Peng JM, 2003, J PROTEOME RES, V2, P43, DOI 10.1021/pr025556v
Poretsky RS, 2005, APPL ENVIRON MICROB, V71, P4121, DOI 10.1128/AEM.71.7.4121-4126.2005
Ram RJ, 2005, SCIENCE, V308, P1915, DOI 10.1126/science. 1109070
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Scanlan DJ, 1997, APPL ENVIRON MICROB, V63, P2411, DOI 10.1128/AEM.63.6.2411-2420.1997
Sherr EB, 2005, DEEP-SEA RES PT II, V52, P317, DOI 10.1016/j.dsr2.2004.09.020
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Tabb DL, 2002, J PROTEOME RES, V1, P21, DOI 10.1021/pr015504q
Thompson MR, 2008, ANAL CHEM, V80, P9517, DOI 10.1021/ac801707s
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Verberkmoes NC, 2009, ISME J, V3, P179, DOI 10.1038/ismej.2008.108
Wheeler PA, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017395
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zubkov MV, 2000, AQUAT MICROB ECOL, V21, P13, DOI 10.3354/ame021013
NR 52
TC 129
Z9 142
PD MAY
PY 2011
VL 5
IS 5
BP 856
EP 865
DI 10.1038/ismej.2010.168
UT WOS:000290022500009
DA 2025-07-30
ER
PT J
AU López-Pérez, M
Haro-Moreno, JM
Gonzalez-Serrano, R
Parras-Moltó, M
Rodriguez-Valera, F
AF Lopez-Perez, Mario
Haro-Moreno, Jose M.
Gonzalez-Serrano, Rafael
Parras-Molto, Marcos
Rodriguez-Valera, Francisco
TI Genome diversity of marine phages recovered from Mediterranean
metagenomes: Size matters
SO PLOS GENETICS
DT Article
AB Marine viruses play a critical role not only in the global geochemical cycles but also in the biology and evolution of their hosts. Despite their importance, viral diversity remains under-explored mostly due to sampling and cultivation challenges. Direct sequencing approaches such as viromics has provided new insights into the marine viral world. As a complementary approach, we analysed 24 microbial metagenomes (> 0.2 mu m size range) obtained from six sites in the Mediterranean Sea that vary by depth, season and filter used to retrieve the fraction. Filter-size comparison showed a significant number of viral sequences that were retained on the larger-pore filters and were different from those found in the viral fraction from the same sample, indicating that some important viral information is missing using only assembly from viromes. Besides, we were able to describe 1,323 viral genomic fragments that were more than 10Kb in length, of which 36 represented complete viral genomes including some of them retrieved from a cross-assembly from different metagenomes. Host prediction based on sequence methods revealed new phage groups belonging to marine prokaryotes like SAR11, Cyanobacteria or SAR116. We also identified the first complete vir-ophage from deep seawater and a new endemic clade of the recently discovered Marine group II Euryarchaeota virus. Furthermore, analysis of viral distribution using metagenomes and viromes indicated that most of the new phages were found exclusively in the Mediterranean Sea and some of them, mostly the ones recovered from deep metagenomes, do not recruit in any database probably indicating higher variability and endemicity in Mediterranean bathypelagic waters. Together these data provide the first detailed picture of genomic diversity, spatial and depth variations of viral communities within the Mediterranean Sea using metagenome assembly.
C1 [Lopez-Perez, Mario; Haro-Moreno, Jose M.; Gonzalez-Serrano, Rafael; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Campus San Juan, Alacant, Spain.
[Parras-Molto, Marcos] CSIC, Ctr Biol Mol Severo Ochoa, Madrid, Spain.
[Parras-Molto, Marcos] Univ Autonoma Madrid, Madrid, Spain.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Campus San Juan, Alacant, Spain.
EM frvalera@umh.es
CR Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], SCIENCE
Bekliz M, 2016, VIRUSES-BASEL, V8, DOI 10.3390/v8110317
Breitbart M, 2007, OCEANOGRAPHY, V20, P135, DOI 10.5670/oceanog.2007.58
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2015, NAT REV MICROBIOL, V13, P147, DOI 10.1038/nrmicro3404
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Casjens SR, 2005, J BACTERIOL, V187, P1091, DOI 10.1128/JB.187.3.1091-1104.2005
Cho I, 2012, NAT REV GENET, V13, P260, DOI 10.1038/nrg3182
Cumby N, 2015, MOL MICROBIOL, V96, P437, DOI 10.1111/mmi.12918
Daniel R, 2005, NAT REV MICROBIOL, V3, P470, DOI 10.1038/nrmicro1160
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deng L, 2014, NATURE, V513, P242, DOI 10.1038/nature13459
Dupont CL, 2015, ISME J, V9, P1076, DOI 10.1038/ismej.2014.198
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
ESTRADA M, 1993, MAR ECOL PROG SER, V92, P289, DOI 10.3354/meps092289
Fuhrman JA, 1995, LIMNOL OCEANOGR, V40, P1236, DOI 10.4319/lo.1995.40.7.1236
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Gawad C, 2016, NAT REV GENET, V17, P175, DOI 10.1038/nrg.2015.16
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Grazziotin AL, 2017, NUCLEIC ACIDS RES, V45, pD491, DOI 10.1093/nar/gkw975
Haible D, 2006, J VIROL METHODS, V135, P9, DOI 10.1016/j.jviromet.2006.01.017
Haro-Moreno JM, 2017, BIORXIV
Haro-Moreno JM, 2017, ISME J, P1
Hayes S, 2017, VIRUSES-BASEL, V9, DOI 10.3390/v9060127
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Hurwitz BL, 2015, ISME J, V9, P472, DOI 10.1038/ismej.2014.143
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Huson DH, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-460
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kim KH, 2011, APPL ENVIRON MICROB, V77, P7663, DOI 10.1128/AEM.00289-11
Kurtz S, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-2-r12
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
López-Pérez M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00996
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Marine R, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-3
Marston MF, 2016, ENVIRON MICROBIOL, V18, P4240, DOI 10.1111/1462-2920.13556
Martin-Cuadrado AB, 2008, ISME J, V2, P865, DOI 10.1038/ismej.2008.40
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Mizuno CM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00027
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Nawrocki EP, 2013, BIOINFORMATICS, V29, P2933, DOI 10.1093/bioinformatics/btt509
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Philosof A, 2017, CURR BIOL, V27, P1362, DOI 10.1016/j.cub.2017.03.052
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Rodriguez-Valera Francisco, 2014, Bacteriophage, V4, pe28265
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Roux S, 2016, PEERJ, V4, DOI 10.7717/peerj.2777
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, ELIFE, V4, DOI 10.7554/eLife.08490
Roux S, 2014, ELIFE, V3, DOI 10.7554/eLife.03125
Schliep KP, 2011, BIOINFORMATICS, V27, P592, DOI 10.1093/bioinformatics/btq706
Sullivan MB, 2010, ENVIRON MICROBIOL, V12, P3035, DOI 10.1111/j.1462-2920.2010.02280.x
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tseng CH, 2014, INT J MOL SCI, V15, P8878, DOI 10.3390/ijms15058878
Weinbauer MG, 2004, ENVIRON MICROBIOL, V6, P1, DOI 10.1046/j.1462-2920.2003.00539.x
Weitz Joshua S, 2012, F1000 Biol Rep, V4, P17
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhou JL, 2015, J VIROL, V89, P1278, DOI 10.1128/JVI.03039-14
NR 74
TC 66
Z9 66
PD SEP
PY 2017
VL 13
IS 9
AR e1007018
DI 10.1371/journal.pgen.1007018
UT WOS:000411976100038
DA 2025-07-30
ER
PT J
AU Zhang, XL
Wang, L
Peng, SJ
Wuzhong, QY
Zhang, L
Dong, ZJ
Sun, TT
Liu, P
Zhang, QQ
Zhao, JN
AF Zhang Xiaoli
Wang Lei
Peng Saijun
Wuzhong Qiyue
Zhang Lei
Dong Zhijun
Sun Tingting
Liu Ping
Zhang Qianqian
Zhao Jiamnin
TI Abundance, Diversity and Functional Potentials of Planktonic Bacteria
and Microeukaryotes in the Coral-Reef System of Xisha Islands, China
SO JOURNAL OF OCEAN UNIVERSITY OF CHINA
DT Article
AB Corals influence microorganisms within the surrounding seawater, yet the diversities and functions of seawater bacteria and microeukaryotes in coral-reef systems have not been well addressed. We collected 40 seawater samples in outer coral reef flats and semi-closed inner lagoons from the surface, middle and bottom layers in the pristine coral-reef system of Xisha Islands, South China Sea. We detected the abundance, composition and distribution of bacteria and microeukaryotes using flow cytometry, qPCR and high throughput sequencing techniques, and profiled the potential ecological roles based on the information of 16S and 18S rDNA sequencing. In terms of flow cytometry, Prochlorococcus dominated the autotrophs with cell abundance ranging from 5.8 x 10(2) to 5.44 x 10(3) cells mL(-1) seawater. Based on qPCR, the 16S rDNA copies were much higher in coral reef flats than in lagoons (P=0.003). The bacterial communities held significantly lower diversity in bottom waters compared with surface and middle waters (P < 0.05), which were dominated by SAR11, Flavobacteriales, and Synechococcus. Alveolata represented most of the microeukaryotic communities with Dinophyceae and Syndiniales well represented in all samples. Neither bacterial nor microeukaryotic community exhibited distinct layer or niche pattern, however, Haptophyta and Picozoa decreased with depth and SAR 86, MAST-3 and Picozoa were enriched in lagoons (P <0.05). To adapt the nutrient-poor and organic matter-rich environment, bacterial nitrogen fixation and assimilatory/dissimilatory nitrate reduction were active in the system, and mixotrophy was the most important trophic strategy among microeukaryotes. The study highlighted the ecological adaptability of seawater microbes to the unique coral-reef environments.
C1 [Zhang Xiaoli; Wang Lei; Peng Saijun; Wuzhong Qiyue; Dong Zhijun; Sun Tingting; Liu Ping; Zhang Qianqian; Zhao Jiamnin] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.
[Peng Saijun; Sun Tingting] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
[Wuzhong Qiyue] Hainan Univ, Coll Marine Sci, State Key Lab Marine Resource Utilizat South Chin, Haikou 570228, Hainan, Peoples R China.
[Zhang Lei] Yantai Univ, Coll Life Sci, Yantai 264005, Peoples R China.
RP Dong, ZJ; Zhao, JN (corresponding author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.
EM zjdong@yic.ac.cn; jmzhao@yic.ac.cn
CR Ainsworth TD, 2017, TRENDS MICROBIOL, V25, P980, DOI 10.1016/j.tim.2017.06.007
Alldredge AL, 2013, OCEANOGRAPHY, V26, P108, DOI 10.5670/oceanog.2013.52
Allers E, 2008, APPL ENVIRON MICROB, V74, P3274, DOI 10.1128/AEM.01870-07
[Anonymous], INT AAAI C WEBLOGS S
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cardini U, 2014, ECOL EVOL, V4, P1706, DOI 10.1002/ece3.1050
Charpy L, 1996, CR ACAD SCI III-VIE, V319, P131
CHARPY L, 1991, MAR ECOL PROG SER, V71, P53, DOI 10.3354/meps071053
Charpy L., 2012, J MAR BIOL, P1, DOI [DOI 10.1155/2012/259571, 10.1155/2012/259571]
Cleary DFR, 2019, ANN MICROBIOL, V69, P861, DOI 10.1007/s13213-019-01476-5
de Castro AP, 2010, MICROB ECOL, V59, P658, DOI 10.1007/s00248-010-9646-1
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Edwards KF, 2019, P NATL ACAD SCI USA, V116, P6211, DOI 10.1073/pnas.1814860116
Gaidos E, 2011, ENVIRON MICROBIOL, V13, P1138, DOI 10.1111/j.1462-2920.2010.02392.x
Gignoux-Wolfsohn SA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0134416
Glasl B, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0705-7
Guillou L, 2008, ENVIRON MICROBIOL, V10, P3349, DOI 10.1111/j.1462-2920.2008.01731.x
Haas AF, 2013, PEERJ, V1, DOI 10.7717/peerj.108
Hartmann M, 2012, P NATL ACAD SCI USA, V109, P5756, DOI 10.1073/pnas.1118179109
Haydon TD, 2018, MAR BIOL, V165, DOI 10.1007/s00227-018-3367-2
Hu CQ, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.146315
Jensen S, 2012, FEMS MICROBIOL ECOL, V82, P75, DOI 10.1111/j.1574-6941.2012.01408.x
Jeong Hae Jin, 2010, Ocean Science Journal, V45, P65, DOI 10.1007/s12601-010-0007-2
Jiao NZ, 2005, CONT SHELF RES, V25, P1265, DOI 10.1016/j.csr.2005.01.002
Kelly LW, 2014, P NATL ACAD SCI USA, V111, P10227, DOI 10.1073/pnas.1403319111
Kelly LW, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09419-z
Langfelder P, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-559
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Leles SG, 2018, J PLANKTON RES, V40, P627, DOI 10.1093/plankt/fby044
Lema KA, 2012, APPL ENVIRON MICROB, V78, P3136, DOI 10.1128/AEM.07800-11
Lesser MP, 2013, CORAL REEFS, V32, P603, DOI 10.1007/s00338-013-1051-z
Lesser MP, 2004, SCIENCE, V305, P997, DOI 10.1126/science.1099128
Liu HB, 2007, DEEP-SEA RES PT II, V54, P1602, DOI 10.1016/j.dsr2.2007.05.004
Liu KS, 2020, FEMS MICROBIOL ECOL, V96, DOI 10.1093/femsec/fiaa071
Luo DL, 2021, ISME J, V15, P3286, DOI 10.1038/s41396-021-01009-6
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Mahmoud HM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00204
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Marie D, 2010, FEMS MICROBIOL ECOL, V72, P165, DOI 10.1111/j.1574-6941.2010.00842.x
McDevitt-Irwin JM, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00262
McNally SP, 2017, LIMNOL OCEANOGR, V62, P217, DOI 10.1002/lno.10389
Morrow KM, 2015, ISME J, V9, P894, DOI 10.1038/ismej.2014.188
Morrow KM, 2012, APPL ENVIRON MICROB, V78, P6438, DOI 10.1128/AEM.01162-12
Polónia ARM, 2016, MAR GENOM, V29, P69, DOI 10.1016/j.margen.2016.04.014
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nakajima R, 2017, CORAL REEFS, V36, P1171, DOI 10.1007/s00338-017-1608-3
Nakajima R, 2015, MAR ECOL-EVOL PERSP, V36, P835, DOI 10.1111/maec.12158
Naumann MS, 2009, MAR ECOL PROG SER, V385, P65, DOI 10.3354/meps08073
Nelson CE, 2013, ISME J, V7, P962, DOI 10.1038/ismej.2012.161
Nelson CE, 2011, ISME J, V5, P1374, DOI 10.1038/ismej.2011.12
Osterholz H, 2016, ISME J, V10, P1717, DOI 10.1038/ismej.2015.231
Patten NL, 2011, CORAL REEFS, V30, P555, DOI 10.1007/s00338-011-0777-8
Peixoto RS, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00341
Polónia ARM, 2015, MOL ECOL, V24, P409, DOI 10.1111/mec.13024
Polónia ARM, 2014, MICROB ECOL, V67, P553, DOI 10.1007/s00248-013-0365-2
Pootakham W, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.935
Priess K, 2000, MAR BIOL, V136, P19, DOI 10.1007/s002270050003
Rädecker N, 2015, TRENDS MICROBIOL, V23, P490, DOI 10.1016/j.tim.2015.03.008
Raghukumar Chandralata, 2012, Prog Mol Subcell Biol, V53, P89, DOI 10.1007/978-3-642-23342-5_5
Ribalet F, 2015, P NATL ACAD SCI USA, V112, P8008, DOI 10.1073/pnas.1424279112
Robinson MD, 2010, BIOINFORMATICS, V26, P139, DOI 10.1093/bioinformatics/btp616
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Romari K, 2004, LIMNOL OCEANOGR, V49, P784, DOI 10.4319/lo.2004.49.3.0784
Schlitzer R, 2002, COMPUT GEOSCI-UK, V28, P1211, DOI 10.1016/S0098-3004(02)00040-7
Schneider LK, 2020, BIODIVERS DATA J, V8, DOI 10.3897/BDJ.8.e56648
Seenivasan R, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059565
Seymour JR, 2005, MAR ECOL PROG SER, V288, P1, DOI 10.3354/meps288001
Sherr BF, 2007, OCEANOGRAPHY, V20, P130, DOI 10.5670/oceanog.2007.57
Silveira CB, 2017, FEMS MICROBIOL REV, V41, P575, DOI 10.1093/femsre/fux018
Strehl B, 1999, FEMS MICROBIOL LETT, V181, P261, DOI 10.1111/j.1574-6968.1999.tb08853.x
Sudek S, 2015, ENVIRON MICROBIOL, V17, P3692, DOI 10.1111/1462-2920.12742
Tout J, 2014, MICROB ECOL, V67, P540, DOI 10.1007/s00248-013-0362-5
VAULOT D, 1995, SCIENCE, V268, P1480, DOI 10.1126/science.268.5216.1480
WAFAR M, 1990, LIMNOL OCEANOGR, V35, P725, DOI 10.4319/lo.1990.35.3.0725
Wang R, 2018, MAR GEOL, V406, P142, DOI 10.1016/j.margeo.2018.09.006
Wang YP, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.601037
Wangpraseurt D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031192
Weber L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229442
Wiedenmann J, 2013, NAT CLIM CHANGE, V3, P160, DOI 10.1038/NCLIMATE1661
Wu F, 2019, PALAEOGEOGR PALAEOCL, V514, P373, DOI 10.1016/j.palaeo.2018.10.013
Wu M. L., 2017, WATER QUALITY, DOI [10.5772/66227, DOI 10.5772/66227]
Wu PF, 2020, SCI TOTAL ENVIRON, V698, DOI 10.1016/j.scitotenv.2019.134289
Xu DP, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01121
Xu LQ, 2011, CHEM GEOL, V286, P135, DOI 10.1016/j.chemgeo.2011.04.015
Ye GZ, 2021, ENVIRON INT, V156, DOI 10.1016/j.envint.2021.106724
Zaneveld JR, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11833
Zhou JZ, 2011, ISME J, V5, P1303, DOI 10.1038/ismej.2011.11
Zhu P, 2018, ESTUAR COAST, V41, P751, DOI 10.1007/s12237-017-0317-z
Ziegler M, 2016, MAR POLLUT BULL, V105, P629, DOI 10.1016/j.marpolbul.2015.12.045
NR 90
TC 2
Z9 2
PD JUN
PY 2022
VL 21
IS 3
BP 748
EP 762
DI 10.1007/s11802-022-5107-y
UT WOS:000795139600022
DA 2025-07-30
ER
PT J
AU Chen, SZ
Arifeen, MZU
Li, MX
Xu, SS
Wang, H
Chen, SR
Tao, JC
Guo, KL
Yan, RM
Zheng, Y
Hou, SW
Zhang, CL
AF Chen, Songze
Arifeen, Muhammad Zain Ul
Li, Minxu
Xu, Shuaishuai
Wang, Hao
Chen, Siruo
Tao, Jianchang
Guo, Kangli
Yan, Rongman
Zheng, Yan
Hou, Shengwei
Zhang, Chuanlun
TI Diel Patterns in the Composition and Activity of Planktonic Microbes in
a Subtropical Bay
SO OCEAN-LAND-ATMOSPHERE RESEARCH
DT Article
AB Planktonic microbes play a crucial role in the matter transformation and energy transfer of marine ecosystems. Marine microbial communities are profoundly influenced by various environmental factors, and their variations are typically investigated in a time-dependent manner. However, studies conducted on a monthly or annual basis do not offer sufficient temporal resolution to reveal changes that can occur on an hourly basis. We conducted a high-resolution time-series study using amplicon sequencing on seawater samples taken at 2-h intervals over a 3-d period from the subtropical Daya Bay to investigate changes in the microbial community composition and activity. The results showed that 46.8% of the microbial rRNA sequences exhibited circadian rhythms, including phytoplankton (e.g., Bacillariophyta, Cryptophyta, and Dinophyceae), heterotrophic bacteria (e.g., Actinomarinaceae, Flavobacteriaceae, and SAR11_clade), and zooplankton (e.g., Bestiolina and Phyllopharyngea). The genera of Bacillariophyta (e.g., Chaetoceros and Pseudo-nitzschia) exhibited higher activity than those of Chlorophyta (e.g., Micromonas). A similar trend was observed for zooplankton, where Choanozoa (e.g., Copepoda) showed a strong circadian rhythm in abundance whereas Ciliophora (e.g., Pithites) were more active. Light intensity and tides were identified as the driving factors behind the periodic succession and activity of the heterotrophic bacteria and phytoplankton with the exception of picocyanobacteria, which were mainly influenced by fluctuations in temperature, nutrients, and salinity. These high-resolution time-dependent observations showed that, despite the dynamic coastal environment, the periodic changes in the microbial community and activity were distinct and phylogenetically conserved. The findings may help in the development of ecosystem models for predicting microbial abundance and activity in rapidly changing coastal and estuary environments.
C1 [Chen, Songze; Arifeen, Muhammad Zain Ul; Li, Minxu; Xu, Shuaishuai; Wang, Hao; Chen, Siruo; Tao, Jianchang; Guo, Kangli; Yan, Rongman; Zheng, Yan; Hou, Shengwei; Zhang, Chuanlun] Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen Key Lab Marine Archaea Geoom, Shenzhen 518000, Peoples R China.
[Chen, Songze] Shenzhen Ecol & Environm Monitoring Ctr Guangdong, Shenzhen 518049, Peoples R China.
[Xu, Shuaishuai] Jinan Univ, Coll Life Sci & Technol, Guangzhou 510632, Peoples R China.
[Wang, Hao] Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Shenzhen 518055, Peoples R China.
[Zheng, Yan] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518000, Peoples R China.
[Hou, Shengwei] Shanghai Jiao Tong Univ, Shanghai Key Lab Polar Life & Environm Sci, Shanghai 200030, Peoples R China.
[Hou, Shengwei] Shanghai Jiao Tong Univ, Key Lab Polar Ecosyst & Climate Change, Shanghai 200030, Peoples R China.
[Zhang, Chuanlun] Shanghai Earthquake Agcy, Shanghai Sheshan Natl Geophys Observ, Shanghai 200062, Peoples R China.
RP Hou, SW; Zhang, CL (corresponding author), Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen Key Lab Marine Archaea Geoom, Shenzhen 518000, Peoples R China.; Hou, SW (corresponding author), Shanghai Jiao Tong Univ, Shanghai Key Lab Polar Life & Environm Sci, Shanghai 200030, Peoples R China.; Hou, SW (corresponding author), Shanghai Jiao Tong Univ, Key Lab Polar Ecosyst & Climate Change, Shanghai 200030, Peoples R China.; Zhang, CL (corresponding author), Shanghai Earthquake Agcy, Shanghai Sheshan Natl Geophys Observ, Shanghai 200062, Peoples R China.
EM housw@sustech.edu.cn; zhangcl@sustech.edu.cn
CR Armbrust EV, 2014, SCIENCE, V345, P134, DOI 10.1126/science.1256578
Becker KW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07346-z
Bell-Pedersen D, 2005, NAT REV GENET, V6, P544, DOI 10.1038/nrg1633
Bilcke G, 2021, PLANT J, V107, P315, DOI 10.1111/tpj.15291
Bolanos LM, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00198-1
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Boysen AK, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00896-20
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Camus T, 2009, AQUACULTURE, V297, P169, DOI 10.1016/j.aquaculture.2009.09.018
Chen CJ, 2020, MOL PLANT, V13, P1194, DOI 10.1016/j.molp.2020.06.009
CHEN CY, 1994, MAR ECOL PROG SER, V109, P83, DOI 10.3354/meps109083
Chen SZ, 2022, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.785532
Chu X, 2022, MBIO, V13, DOI 10.1128/mbio.00571-22
Courties A, 2013, GENOME ANNOUNCEMENTS, V1, DOI 10.1128/genomeA.01062-13
de los Reyes P, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01217
Dubinsky V, 2017, ENVIRON MICROBIOL, V19, P1077, DOI 10.1111/1462-2920.13624
DuRand MD, 2002, J PHYCOL, V38, P1132, DOI 10.1046/j.1529-8817.2002.02008.x
Fahrni J, 2022, EUR J PROTISTOL, V86, DOI 10.1016/j.ejop.2022.125920
Faust K, 2015, CURR OPIN MICROBIOL, V25, P56, DOI 10.1016/j.mib.2015.04.004
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Gao S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033198
Giomi F, 2023, NAT GEOSCI, V16, P560, DOI 10.1038/s41561-023-01217-z
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw8855
Grömping U, 2006, J STAT SOFTW, V17, DOI 10.18637/jss.v017.i01
Häfker NS, 2023, ANNU REV MAR SCI, V15, P509, DOI 10.1146/annurev-marine-030422-113038
Hinga KR, 2002, MAR ECOL PROG SER, V238, P281, DOI 10.3354/meps238281
Jeong HJ, 2016, HARMFUL ALGAE, V60, P92, DOI 10.1016/j.hal.2016.10.008
Jing YU., 2007, Mar Sci Bull, V9, P24
Karl DM, 2014, NAT REV MICROBIOL, V12, P699, DOI 10.1038/nrmicro3333
Lanclos VC, 2023, ISME J, V17, P620, DOI 10.1038/s41396-023-01376-2
Lee SY, 2021, ALGAE-SEOUL, V36, P37, DOI 10.4490/algae.2021.36.3.4
Li TC, 2023, ENVIRON RES, V216, DOI 10.1016/j.envres.2022.114584
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Muratore D, 2022, NAT ECOL EVOL, V6, P218, DOI 10.1038/s41559-021-01606-w
Nadkarni MA, 2002, MICROBIOL-SGM, V148, P257, DOI 10.1099/00221287-148-1-257
Needham DM, 2018, ISME J, V12, P2417, DOI 10.1038/s41396-018-0169-y
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Nézan E, 2014, HARMFUL ALGAE, V40, P75, DOI 10.1016/j.hal.2014.10.006
Oksanen J., 2013, COMMUNITY ECOLOGY PA, V2, P1
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Pan HB, 2017, ZOOL J LINN SOC-LOND, V180, P475, DOI 10.1093/zoolinnean/zlw006
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Risse-Buhl U, 2014, EUR J PROTISTOL, V50, P345, DOI 10.1016/j.ejop.2014.03.006
Robidart JC, 2012, ISME J, V6, P513, DOI 10.1038/ismej.2011.127
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Serrano-Bueno G, 2017, CURR OPIN PLANT BIOL, V37, P10, DOI 10.1016/j.pbi.2017.03.007
Sieradzki ET, 2018, PEERJ, V6, DOI 10.7717/peerj.5798
Sommer U, 2012, ANNU REV ECOL EVOL S, V43, P429, DOI 10.1146/annurev-ecolsys-110411-160251
Song XY, 2004, MAR POLLUT BULL, V49, P1036, DOI 10.1016/j.marpolbul.2004.07.008
Strenkert D, 2019, P NATL ACAD SCI USA, V116, P2374, DOI 10.1073/pnas.1815238116
Team R.D.C., 2010, R LANG ENV STAT COMP
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tournier E, 2015, METHODSX, V2, P182, DOI 10.1016/j.mex.2015.03.007
Tsai AY, 2012, AQUAT MICROB ECOL, V66, P159, DOI 10.3354/ame01566
Tsakalakis I, 2022, GLOBAL ECOL BIOGEOGR, V31, P1838, DOI 10.1111/geb.13562
Wang W., 1996, Acta Oceanol Sin, V18, P57
Wu G, 2016, BIOINFORMATICS, V32, P3351, DOI 10.1093/bioinformatics/btw405
Wu ML, 2017, J MARINE SYST, V165, P1, DOI 10.1016/j.jmarsys.2016.09.004
Xie W, 2018, ENVIRON MICROBIOL, V20, P734, DOI 10.1111/1462-2920.14004
Yeh YC, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00121-8
Yeh YC, 2021, ENVIRON MICROBIOL, V23, P3240, DOI 10.1111/1462-2920.15553
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Zeng YH, 2020, MBIO, V11, DOI 10.1128/mBio.02641-20
Zhang CL, 2018, NATL SCI REV, V5, P481, DOI 10.1093/nsr/nwy074
Zhang WQ, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.851605
NR 71
TC 1
Z9 1
PD APR 16
PY 2024
VL 3
AR 0044
DI 10.34133/olar.0044
UT WOS:001524155200001
DA 2025-07-30
ER
PT J
AU Gronniger, JL
Gray, PC
Niebergall, AK
Johnson, ZI
Hunt, DE
AF Gronniger, Jessica L.
Gray, Patrick C.
Niebergall, Alexandria K.
Johnson, Zackary I.
Hunt, Dana E.
TI A Gulf Stream frontal eddy harbors a distinct microbiome compared to
adjacent waters
SO PLOS ONE
DT Article
AB Mesoscale oceanographic features, including eddies, have the potential to alter productivity and other biogeochemical rates in the ocean. Here, we examine the microbiome of a cyclonic, Gulf Stream frontal eddy, with a distinct origin and environmental parameters compared to surrounding waters, in order to better understand the processes dominating microbial community assembly in the dynamic coastal ocean. Our microbiome-based approach identified the eddy as distinct from the surround Gulf Stream waters. The eddy-associated microbial community occupied a larger area than identified by temperature and salinity alone, increasing the predicted extent of eddy-associated biogeochemical processes. While the eddy formed on the continental shelf, after two weeks both environmental parameters and microbiome composition of the eddy were most similar to the Gulf Stream, suggesting the effect of environmental filtering on community assembly or physical mixing with adjacent Gulf Stream waters. In spite of the potential for eddy-driven upwelling to introduce nutrients and stimulate primary production, eddy surface waters exhibit lower chlorophyll a along with a distinct and less even microbial community, compared to the Gulf Stream. At the population level, the eddy microbiome exhibited differences among the cyanobacteria (e.g. lower Trichodesmium and higher Prochlorococcus) and in the heterotrophic alpha Proteobacteria (e.g. lower relative abundances of specific SAR11 phylotypes) versus the Gulf Stream. However, better delineation of the relative roles of processes driving eddy community assembly will likely require following the eddy and surrounding waters since inception. Additionally, sampling throughout the water column could better clarify the contribution of these mesoscale features to primary production and carbon export in the oceans.
C1 [Gronniger, Jessica L.; Gray, Patrick C.; Johnson, Zackary I.; Hunt, Dana E.] Duke Univ, Marine Lab, Beaufort, NC 28516 USA.
[Niebergall, Alexandria K.] Duke Univ, Nicholas Sch Environm, Durham, NC USA.
[Johnson, Zackary I.; Hunt, Dana E.] Duke Univ, Biol & Civil & Environm Engn, Durham, NC 27708 USA.
RP Hunt, DE (corresponding author), Duke Univ, Marine Lab, Beaufort, NC 28516 USA.; Hunt, DE (corresponding author), Duke Univ, Biol & Civil & Environm Engn, Durham, NC 27708 USA.
EM dana.hunt@duke.edu
CR Ahern OM, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2105207118
Angly FE, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-11
Applications NCFS Research., NASA Physical Oceanography Distributed Active Archive Center; 2019
Atlas E.L., 1971, A Practical Manual for Use of the Technicon Autoanalyzer in Seawater Nutrient Analyses
Baltar F, 2010, ISME J, V4, P975, DOI 10.1038/ismej.2010.33
Barton AD, 2010, SCIENCE, V327, P1509, DOI 10.1126/science.1184961
Benitez-Nelson CR, 2007, SCIENCE, V316, P1017, DOI 10.1126/science.1136221
Benitez-Nelson CR, 1999, NATURE, V398, P502, DOI 10.1038/19061
Bracco A, 2000, P ROY SOC B-BIOL SCI, V267, P1795, DOI 10.1098/rspb.2000.1212
Byrd BL., 2014, Strandings as indicators of marine mammal biodiversity and human interactions off the coast of North Carolina
Calil PHR, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005360
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Clark JS, 2017, ECOL MONOGR, V87, P34, DOI 10.1002/ecm.1241
Clayton S., 2013, Fluids and Environments, V3, P182
Conway TM, 2018, NAT GEOSCI, V11, P594, DOI 10.1038/s41561-018-0162-0
Doblin MA, 2016, PEERJ, V4, DOI 10.7717/peerj.1973
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
Evans S, 2017, ISME J, V11, P176, DOI 10.1038/ismej.2016.96
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
FALKOWSKI PG, 1991, NATURE, V352, P55, DOI 10.1038/352055a0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
GLENN SM, 1994, J GEOPHYS RES-OCEANS, V99, P5047, DOI 10.1029/93JC02787
Gordon L.I., 1993, A Suggested Protocol for Continuous Flow Automated Analysis of Seawater Nutrients in the WOCE Hydrographic Program and the Joint Global Ocean Fluxes Study
Gray PC., 2023, bioRxiv
Gronniger JL, 2022, ENVIRON MICROBIOL, V24, P4167, DOI 10.1111/1462-2920.16086
Gula J, 2016, J PHYS OCEANOGR, V46, P305, DOI 10.1175/JPO-D-14-0258.1
Gula J, 2015, J PHYS OCEANOGR, V45, P690, DOI 10.1175/JPO-D-14-0154.1
Harke MJ, 2021, ENVIRON MICROBIOL, V23, P4807, DOI 10.1111/1462-2920.15677
Hawkes CV, 2015, ECOL LETT, V18, P612, DOI 10.1111/ele.12451
Johnson ZI, 2010, J MAR RES, V68, P283, DOI 10.1357/002224010793721433
Jurburg SD, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01832
LEE TN, 1991, J GEOPHYS RES-OCEANS, V96, P22191, DOI 10.1029/91JC02450
Lévy M, 2015, J R SOC INTERFACE, V12, DOI 10.1098/rsif.2015.0481
LOCHTE K, 1987, MAR ECOL PROG SER, V39, P153, DOI 10.3354/meps039153
Louca S, 2022, ISME J, V16, P159, DOI 10.1038/s41396-021-01069-8
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Martin-Platero AM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02571-4
Morel A, 2007, REMOTE SENS ENVIRON, V111, P69, DOI 10.1016/j.rse.2007.03.012
Needham D., 2019, Fuhrman Lab 515F-926R 16S and 18S rRNA Gene Sequencing Protocol V.2. protocolsio, DOI [10.17504/protocols.io.vb7e2rn, DOI 10.17504/PROTOCOLS.IO.VB7E2RN]
Ntaganou N, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.961058
PAFFENHOFER GA, 1987, PROG OCEANOGR, V19, P403, DOI 10.1016/0079-6611(87)90016-4
Pajares S, 2021, AQUAT MICROB ECOL, V87, P151, DOI 10.3354/ame01975
Palter JB., 2020, Geophysical Research Letters, P47
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Seim HE., 2022, Oceanography, V35
Shen DD, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02188
Stegen JC, 2018, CURR OPIN MICROBIOL, V44, P20, DOI 10.1016/j.mib.2018.06.002
Stegen JC, 2013, ISME J, V7, P2069, DOI 10.1038/ismej.2013.93
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sweeney EN, 2003, DEEP-SEA RES PT II, V50, P3017, DOI 10.1016/j.dsr2.2003.07.008
Tarshish N, 2018, OCEAN MODEL, V130, P15, DOI 10.1016/j.ocemod.2018.07.001
Villar E, 2015, SCIENCE, V348, DOI 10.1126/science.1261447
Wang L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0153735
Wang Z, 2021, ISME J, V15, P19, DOI 10.1038/s41396-020-00748-2
Wang Z, 2019, ENVIRON MICROBIOL, V21, P3862, DOI 10.1111/1462-2920.14734
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Waring BG, 2015, MICROB ECOL, V69, P843, DOI 10.1007/s00248-014-0436-z
Wehrens R, 2007, J STAT SOFTW, V21, P1
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Zhang YW, 2021, SCI ROBOT, V6, DOI 10.1126/scirobotics.abb9138
Zhou JZ, 2014, P NATL ACAD SCI USA, V111, pE836, DOI 10.1073/pnas.1324044111
NR 65
TC 3
Z9 4
PD NOV 9
PY 2023
VL 18
IS 11
AR e0293334
DI 10.1371/journal.pone.0293334
UT WOS:001124300500033
DA 2025-07-30
ER
PT J
AU Wienhausen, G
Dlugosch, L
Jarling, R
Wilkes, H
Giebel, HA
Simon, M
AF Wienhausen, Gerrit
Dlugosch, Leon
Jarling, Rene
Wilkes, Heinz
Giebel, Helge-A.
Simon, Meinhard
TI Availability of vitamin B12 and its lower ligand intermediate
α-ribazole impact prokaryotic and protist communities in oceanic systems
SO ISME JOURNAL
DT Article
AB Genome analyses predict that the cofactor cobalamin (vitamin B-12, called B-12 herein) is produced by only one-third of all prokaryotes but almost all encode at least one B-12-dependent enzyme, in most cases methionine synthase. This implies that the majority of prokaryotes relies on exogenous B-12 supply and interacts with producers. B-12 consists of a corrin ring centred around a cobalt ion and the lower ligand 5'6-dimethylbenzimidazole (DMB). It has never been tested whether availability of this pivotal cofactor, DMB or its intermediate alpha-ribazole affect growth and composition of prokaryotic microbial communities. Here we show that in the subtropical, equatorial and polar frontal Pacific Ocean supply of B-12 and alpha-ribazole enhances heterotrophic prokaryotic production and alters the composition of prokaryotic and heterotrophic protist communities. In the polar frontal Pacific, the SAR11 clade and Oceanospirillales increased their relative abundances upon B-12 supply. In the subtropical Pacific, Oceanospirillales increased their relative abundance upon B-12 supply as well but also downregulated the transcription of the btuB gene, encoding the outer membrane permease for B-12. Surprisingly, Prochlorococcus, known to produce pseudo-B-12 and not B-12, exhibited significant upregulation of genes encoding key proteins of photosystem I + II, carbon fixation and nitrate reduction upon B-12 supply in the subtropical Pacific. These findings show that availability of B-12 and alpha-ribazole affect growth and composition of prokaryotic and protist communities in oceanic systems thus revealing far-reaching consequences of methionine biosynthesis and other B-12-dependent enzymatic reactions on a community level.
C1 [Wienhausen, Gerrit; Dlugosch, Leon; Jarling, Rene; Wilkes, Heinz; Giebel, Helge-A.; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Carl von Ossietzky Str 9-11, D-26129 Oldenburg, Germany.
[Simon, Meinhard] Univ Oldenburg HIFMB, Helmholtz Inst Funct Marine Biodivers, Ammerlander Heerstr 231, D-26129 Oldenburg, Germany.
[Jarling, Rene] Thuenen Inst Forest Genet, Eberswalder Chaussee 3a, D-15377 Waldsleversdorf, Germany.
RP Simon, M (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Carl von Ossietzky Str 9-11, D-26129 Oldenburg, Germany.; Simon, M (corresponding author), Univ Oldenburg HIFMB, Helmholtz Inst Funct Marine Biodivers, Ammerlander Heerstr 231, D-26129 Oldenburg, Germany.
EM m.simon@icbm.de
CR Albertsen M, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0132783
Amaral-Zettler LA, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006372
Anderson PJ, 2008, J BACTERIOL, V190, P1160, DOI 10.1128/JB.01386-07
Balmonte JP, 2021, LIMNOL OCEANOGR, V66, P3489, DOI 10.1002/lno.11894
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bertrand EM, 2007, LIMNOL OCEANOGR, V52, P1079, DOI 10.4319/lo.2007.52.3.1079
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Berube PM, 2019, ELIFE, V8, DOI 10.7554/eLife.41043
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Biller SJ, 2016, ISME J, V10, P2831, DOI 10.1038/ismej.2016.82
Billerbeck S, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.63, 10.1038/NMICROBIOL.2016.63]
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
BONHOMME A, 1982, REPROD NUTR DEV, V22, P107, DOI 10.1051/rnd:19820109
Bonnet S, 2010, LIMNOL OCEANOGR, V55, P1959, DOI 10.4319/lo.2010.55.5.1959
Browning TJ, 2017, NATURE, V551, P242, DOI 10.1038/nature24063
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Crofts TS, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00592
Crofts TS, 2013, CHEM BIOL, V20, P1265, DOI 10.1016/j.chembiol.2013.08.006
Cruz-López R, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00560
Diepenbroek M, 2014, INFORMATIK GESELLSCH
Dlugosch L, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28128-8
Doxey AC, 2015, ISME J, V9, P461, DOI 10.1038/ismej.2014.142
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Giebel HA, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.764383
Giebel HA, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz050
Gómez-Consarnau L, 2018, ENVIRON MICROBIOL, V20, P2809, DOI 10.1111/1462-2920.14133
GONZALEZ JC, 1992, BIOCHEMISTRY-US, V31, P6045, DOI 10.1021/bi00141a013
Grant MAA, 2014, ISME J, V8, P1418, DOI 10.1038/ismej.2014.9
Gray MJ, 2010, MOL MICROBIOL, V77, P1429, DOI 10.1111/j.1365-2958.2010.07294.x
Griffiths-Jones S, 2003, NUCLEIC ACIDS RES, V31, P439, DOI 10.1093/nar/gkg006
Haro-Moreno JM, 2017, ISME J, V11, P1102, DOI 10.1038/ismej.2016.188
Heal KR, 2017, P NATL ACAD SCI USA, V114, P364, DOI 10.1073/pnas.1608462114
Helliwell KE, 2016, CURR BIOL, V26, P999, DOI 10.1016/j.cub.2016.02.041
Hoffmann B, 2000, J BACTERIOL, V182, P4773, DOI 10.1128/JB.182.17.4773-4782.2000
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Isaac A, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.718297
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Johnson WM, 2016, ISME J, V10, P2304, DOI 10.1038/ismej.2016.6
King AL, 2011, ISME J, V5, P1388, DOI 10.1038/ismej.2010.211
Koch F, 2011, LIMNOL OCEANOGR, V56, P1023, DOI 10.4319/lo.2011.56.3.1023
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Law KP., 2021, FRONT MICROBIOL, V12, P1355
Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
Lin YC, 2012, APPL ENVIRON MICROB, V78, P3387, DOI 10.1128/AEM.06952-11
Lohmann A, 2006, J BIOL CHEM, V281, P40461, DOI 10.1074/jbc.M609412200
Lu XD, 2020, ISME J, V14, P53, DOI 10.1038/s41396-019-0502-0
LUNDRIGAN MD, 1991, P NATL ACAD SCI USA, V88, P1479, DOI 10.1073/pnas.88.4.1479
Ma AT, 2020, MOL MICROBIOL, V113, P89, DOI 10.1111/mmi.14402
Ma AT, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.00035-17
Maeda S, 2006, J BIOL CHEM, V281, P5869, DOI 10.1074/jbc.M513196200
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Massana R, 2009, ISME J, V3, P588, DOI 10.1038/ismej.2008.130
Mende DR, 2017, NUCLEIC ACIDS RES, V45, pD529, DOI 10.1093/nar/gkw989
MENZEL DW, 1962, LIMNOL OCEANOGR, V7, P151, DOI 10.4319/lo.1962.7.2.0151
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Mok KC, 2013, J BACTERIOL, V195, P1902, DOI 10.1128/JB.01282-12
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Nahvi A, 2004, NUCLEIC ACIDS RES, V32, P143, DOI 10.1093/nar/gkh167
Orsi WD, 2018, ENVIRON MICROBIOL, V20, P815, DOI 10.1111/1462-2920.14018
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Romano S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0096038
Sañudo-Wilhelmy SA, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL025046
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Schneider D, 2017, METHODS MOL BIOL, V1539, P13, DOI 10.1007/978-1-4939-6691-2_2
Segev Einat, 2016, Elife, V5, DOI 10.7554/eLife.17473
Shelton AN, 2019, ISME J, V13, P789, DOI 10.1038/s41396-018-0304-9
Sokolovskaya OM, 2020, SCIENCE, V369, P48, DOI 10.1126/science.aba0165
STUPPERICH E, 1988, ARCH MICROBIOL, V149, P268, DOI 10.1007/BF00422016
STUPPERICH E, 1987, J BACTERIOL, V169, P3076, DOI 10.1128/jb.169.7.3076-3081.1987
Suffridge CP, 2018, J GEOPHYS RES-BIOGEO, V123, P2890, DOI 10.1029/2018JG004554
Suffridge C, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00011
Sundberg C, 2013, FEMS MICROBIOL ECOL, V85, P612, DOI 10.1111/1574-6941.12148
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wagner GP, 2012, THEOR BIOSCI, V131, P281, DOI 10.1007/s12064-012-0162-3
Wagner-Döbler I, 2010, ISME J, V4, P61, DOI 10.1038/ismej.2009.94
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wienhausen G, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01985
Yi S, 2012, APPL ENVIRON MICROB, V78, P7745, DOI 10.1128/AEM.02150-12
Yilmaz P, 2011, NAT BIOTECHNOL, V29, P415, DOI 10.1038/nbt.1823
NR 85
TC 29
Z9 31
PD AUG
PY 2022
VL 16
IS 8
BP 2002
EP 2014
DI 10.1038/s41396-022-01250-7
EA MAY 2022
UT WOS:000797293000001
DA 2025-07-30
ER
PT J
AU Fadeev, E
Salter, I
Schourup-Kristensen, V
Nothig, EM
Metfies, K
Engels, A
Piontek, J
Boetiuso, A
Bienhold, C
AF Fadeev, Eduard
Salter, Ian
Schourup-Kristensen, Vibe
Nothig, Eva-Maria
Metfies, Katja
Engels, Anja
Piontek, Judith
Boetiuso, Antje
Bienhold, Christina
TI Microbial Communities in the East and West Fram Strait During Sea Ice
Melting Season
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Climate models project that the Arctic Ocean may experience ice-free summers by the second half of this century. This may have severe repercussions on phytoplankton bloom dynamics and the associated cycling of carbon in surface waters. We currently lack baseline knowledge of the seasonal dynamics of Arctic microbial communities, which is needed in order to better estimate the effects of such changes on ecosystem functioning. Here we present a comparative study of polar summer microbial communities in the ice-free (eastern) and ice-covered (western) hydrographic regimes at the LTER HAUSGARTEN in Fram Strait, the main gateway between the Arctic and North Atlantic Oceans. Based on measured and modeled biogeochemical parameters, we tentatively identified two different ecosystem states (i.e., different phytoplankton bloom stages) in the distinct regions. Using lllumina tag-sequencing, we determined the community composition of both free-living and particle-associated bacteria as well as microbial eukaryotes in the photic layer. Despite substantial horizontal mixing by eddies in Fram Strait, pelagic microbial communities showed distinct differences between the two regimes, with a proposed early spring (pre-bloom) community in the ice-covered western regime (with higher representation of SAR11, SAR202, SAR406 and eukaryotic MALVs) and a community indicative of late summer conditions (post-bloom) in the icefree eastern regime (with higher representation of Flavobacteria, Gammaproteobacteria and eukaryotic heterotrophs). Co-occurrence networks revealed specific taxon-taxon associations between bacterial and eukaryotic taxa in the two regions. Our results suggest that the predicted changes in sea ice cover and phytoplankton bloom dynamics will have a strong impact on bacterial community dynamics and potentially on biogeochemical cycles in this region.
C1 [Fadeev, Eduard; Salter, Ian; Schourup-Kristensen, Vibe; Nothig, Eva-Maria; Metfies, Katja; Boetiuso, Antje; Bienhold, Christina] Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Bremerhaven, Germany.
[Fadeev, Eduard; Boetiuso, Antje; Bienhold, Christina] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Salter, Ian] Faroe Marine Res Inst, Torshavn, Faroe Islands.
[Metfies, Katja] Helmholtz Inst Funct Marine Biodivers, Oldenburg, Germany.
[Engels, Anja; Piontek, Judith] GEOMAR Helmholtz Ctr Ocean Res, Kiel, Germany.
RP Fadeev, E; Bienhold, C (corresponding author), Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Bremerhaven, Germany.; Fadeev, E; Bienhold, C (corresponding author), Max Planck Inst Marine Microbiol, Bremen, Germany.
EM eduard.fadeev@awi.de; Christina.Bienhold@awi.de
CR Alonso-Sáez L, 2008, ENVIRON MICROBIOL, V10, P2444, DOI 10.1111/j.1462-2920.2008.01674.x
Alonso-Sáez L, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00425
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
[Anonymous], 8017 SHL
Arrigo KR, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035028
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Beszczynska-Möller A, 2012, ICES J MAR SCI, V69, P852, DOI 10.1093/icesjms/fss056
Beszczynska-Möller A, 2011, OCEANOGRAPHY, V24, P82, DOI 10.5670/oceanog.2011.59
Boetius A, 2013, SCIENCE, V339, P1430, DOI 10.1126/science.1231346
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Boss E, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044174
Bowman JP, 1997, APPL ENVIRON MICROB, V63, P3068, DOI 10.1128/AEM.63.8.3068-3078.1997
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
BROWN MB, 1975, BIOMETRICS, V31, P987, DOI 10.2307/2529826
Brown MV, 2001, FEMS MICROBIOL ECOL, V35, P267, DOI 10.1016/S0168-6496(01)00100-3
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Busch K, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00166
Callahan Ben J, 2016, F1000Res, V5, P1492
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Chao A, 2014, ECOL MONOGR, V84, P45, DOI 10.1890/13-0133.1
Chao A, 2012, ECOLOGY, V93, P2533, DOI 10.1890/11-1952.1
Chen H, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-35
COLE JJ, 1982, ANNU REV ECOL SYST, V13, P291, DOI 10.1146/annurev.es.13.110182.001451
Collins RE, 2010, ENVIRON MICROBIOL, V12, P1828, DOI 10.1111/j.1462-2920.2010.02179.x
Conway JR, 2017, BIOINFORMATICS, V33, P2938, DOI 10.1093/bioinformatics/btx364
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Csardi G., 2006, Complex Syst, V1695, P1
de Steur L, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL041278
Diepenbroek M., 2014, INFORM 2014, P1711
Dmitrenko IA, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004158
Dobricic S, 2016, J CLIMATE, V29, P2869, DOI 10.1175/JCLI-D-15-0417.1
Edler L., 1979, RECOMMENDATIONS METH
Engel A, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-04106-9
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Faust Karoline, 2016, F1000Res, V5, P1519
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Fontanez KM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00469
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grossart HP, 2007, AQUAT MICROB ECOL, V47, P163, DOI 10.3354/ame047163
Grossart HP, 2006, ENVIRON MICROBIOL, V8, P1074, DOI 10.1111/j.1462-2920.2006.00999.x
Guillou L, 2008, ENVIRON MICROBIOL, V10, P3349, DOI 10.1111/j.1462-2920.2008.01731.x
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Hartmann M, 2013, ENV MICROBIOL REP, V5, P835, DOI 10.1111/1758-2229.12084
Herndl GJ, 2013, NAT GEOSCI, V6, P718, DOI [10.1038/ngeo1921, 10.1038/NGEO1921]
Iversen KR, 2011, POLAR BIOL, V34, P731, DOI 10.1007/s00300-010-0929-2
Jephcott TG, 2016, FUNGAL ECOL, V19, P47, DOI 10.1016/j.funeco.2015.03.007
Joli N, 2017, ISME J, V11, P1372, DOI 10.1038/ismej.2017.7
Kilias E, 2013, J PHYCOL, V49, P996, DOI 10.1111/jpy.12109
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kwok R, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039035
Leu E, 2011, PROG OCEANOGR, V90, P18, DOI 10.1016/j.pocean.2011.02.004
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Lovejoy C, 2007, J PHYCOL, V43, P78, DOI 10.1111/j.1529-8817.2006.00310.x
Lovejoy C, 2014, ACTA PROTOZOOL, V53, P91, DOI 10.4467/16890027AP.14.009.1446
Luo WJ, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-161
Mahé F, 2015, PEERJ, V3, DOI 10.7717/peerj.1420
Marquardt M, 2016, APPL ENVIRON MICROB, V82, P1868, DOI 10.1128/AEM.03208-15
Martin M., 2011, EMBnet J, V17, P10
McMurdie PJ, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003531
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Metfies K, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0148512
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Monier A, 2013, BIOGEOSCIENCES, V10, P4273, DOI 10.5194/bg-10-4273-2013
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Muller O, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00024
Nikrad MP, 2014, ENVIRON MICROBIOL, V16, P1513, DOI 10.1111/1462-2920.12258
Nöthig EM, 2015, POLAR RES-SWEDEN, V34, DOI 10.3402/polar.v34.23349
Oksanen F.J., 2019, VEGAN COMMUNITY ECOL
Padilla CC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00547
PAQUETTE RG, 1985, J GEOPHYS RES-OCEANS, V90, P4866, DOI 10.1029/JC090iC03p04866
Peng G, 2018, ANN GLACIOL, V59, P191, DOI 10.1017/aog.2017.32
Perrette M, 2011, BIOGEOSCIENCES, V8, P515, DOI 10.5194/bg-8-515-2011
Peura S, 2015, APPL ENVIRON MICROB, V81, P2090, DOI 10.1128/AEM.03660-14
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Piontek J, 2015, LIMNOL OCEANOGR, V60, P1392, DOI 10.1002/lno.10112
Piontek J, 2014, J MARINE SYST, V132, P83, DOI 10.1016/j.jmarsys.2014.01.003
Polyakov IV, 2017, SCIENCE, V356, P285, DOI 10.1126/science.aai8204
Polyakov IV, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023740
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ramanan R, 2016, BIOTECHNOL ADV, V34, P14, DOI 10.1016/j.biotechadv.2015.12.003
Randelhoff A, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00224
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
RStudio Team, 2015, RSTUDIO INT DEV R
Rudels B, 2013, OCEAN SCI, V9, P147, DOI 10.5194/os-9-147-2013
Rudels B, 1996, J GEOPHYS RES-OCEANS, V101, P8807, DOI 10.1029/96JC00143
Schlitzer R., 2015, OCEAN DATA VIEW
Schourup-Kristensen V, 2014, GEOSCI MODEL DEV, V7, P2769, DOI 10.5194/gmd-7-2769-2014
Silvester N, 2018, NUCLEIC ACIDS RES, V46, pD36, DOI 10.1093/nar/gkx1125
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Soltwedel T., 2013, 2013 MTSIEEE OCEANS, P1, DOI 10.1109/oceans-bergen.2013.6608008
Soltwedel T, 2016, ECOL INDIC, V65, P89, DOI 10.1016/j.ecolind.2015.10.001
Spreen G, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2005JC003384
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Sun L, 2016, GEOPHYS RES LETT, V43, P5345, DOI 10.1002/2016GL069024
TAYLOR AH, 1992, DEEP-SEA RES, V39, P137, DOI 10.1016/0198-0149(92)90101-X
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Töpper B, 2010, POLAR BIOL, V33, P1557, DOI 10.1007/s00300-010-0846-4
Vader A, 2015, POLAR BIOL, V38, P13, DOI 10.1007/s00300-014-1570-2
Vernet M, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00160
von Appen WJ, 2015, DEEP-SEA RES PT I, V103, P86, DOI 10.1016/j.dsr.2015.06.003
Walczowski W, 2017, OCEANOLOGIA, V59, P187, DOI 10.1016/j.oceano.2016.12.003
Wassmann P, 2010, POLAR BIOL, V33, P1641, DOI 10.1007/s00300-010-0839-3
Weiss S, 2016, ISME J, V10, P1669, DOI 10.1038/ismej.2015.235
Wekerle C, 2017, J GEOPHYS RES-OCEANS, V122, P914, DOI 10.1002/2016JC012121
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
Wickham H., 2010, J STAT SOFTW, V35, p65 88, DOI [DOI 10.18637/JSS.V077.B02, DOI 10.1080/15366367.2019.1565254, 10.1080/15366367.2019.1565254]
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
WILSON C, 1990, J GEOPHYS RES-OCEANS, V95, P22193, DOI 10.1029/JC095iC12p22193
Wollenburg JE, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26016-0
Yang PH, 2018, IEEE INT C ELECTR TA
Yu ZC, 2015, ISME J, V9, P871, DOI 10.1038/ismej.2014.185
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 127
TC 46
Z9 48
PD NOV 22
PY 2018
VL 5
AR 429
DI 10.3389/fmars.2018.00429
UT WOS:000457485300001
DA 2025-07-30
ER
PT J
AU Jing, HM
Xia, XM
Suzuki, K
Liu, HB
AF Jing, Hongmei
Xia, Xiaomin
Suzuki, Koji
Liu, Hongbin
TI Vertical Profiles of Bacteria in the Tropical and Subarctic Oceans
Revealed by Pyrosequencing
SO PLOS ONE
DT Article
AB Community composition of Bacteria in the surface and deep water layers were examined at three oceanic sites in the Pacific Ocean separated by great distance, i.e., the South China Sea (SCS) in the western tropical Pacific, the Costa Rica Dome (CRD) in the eastern tropical Pacific and the western subarctic North Pacific (SNP), using high throughput DNA pyrosequencing of the 16S rRNA gene. Bioinformatic analysis rendered a total of 143600 high quality sequences with an average 11967 sequences per sample and mean read length of 449 bp. Phylogenetic analysis showed that Proteobacteria dominated in all shallow and deep waters, with Alphaproteobacteria and Gammaproteobacteria the two most abundant components, and SAR11 the most abundant group at family level in all regions. Cyanobacteria occurred mainly in the surface euphotic layer, and the majority of them in the tropical waters belonged to the GpIIa family including Prochlorococcus and Synechococcus, whilst those associated with Cryptophytes and diatoms were common in the subarctic waters. In general, species richness (Chao1) and diversity (Shannon index H') were higher for the bacterial communities in the intermediate water layers than for those in surface and deep waters. Both NMDS plot and UPGMA clustering demonstrated that bacterial community composition in the deep waters (500 m similar to 2000 m) of the three oceanic regions shared a high similarity and were distinct from those in the upper waters (5 m similar to 100 m). Our study indicates that bacterial community composition in the DOC-poor deep water in both tropical and subarctic regions were rather stable, contrasting to those in the surface water layers, which could be strongly affected by the fluctuations of environmental factors.
C1 [Jing, Hongmei; Xia, Xiaomin; Liu, Hongbin] Hong Kong Univ Sci & Technol, Div Life Sci, Kowloon, Hong Kong, Peoples R China.
[Jing, Hongmei] Chinese Acad Sci, Sanya Inst Deep Sea Sci & Engn, Sanya, Peoples R China.
[Suzuki, Koji] Hokkaido Univ, Fac Environm Earth Sci, Sapporo, Hokkaido, Japan.
RP Liu, HB (corresponding author), Hong Kong Univ Sci & Technol, Div Life Sci, Kowloon, Hong Kong, Peoples R China.
EM liuhb@ust.hk
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], 1934, Geobiologie of Inleiding tot de Milieukunde
[Anonymous], B I OCEANOGRAPHIQUE
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Bhattacharya D, 2004, BIOESSAYS, V26, P50, DOI 10.1002/bies.10376
Bowman JS, 2012, ISME J, V6, P11, DOI 10.1038/ismej.2011.76
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Clarke K R., 2001, Primer, version 5: user manual/tutorial, VEd P-E Ltd
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
de Wit R, 2006, ENVIRON MICROBIOL, V8, P755, DOI 10.1111/j.1462-2920.2006.01017.x
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Friedline C., 2012, Bio-geosciences Discuss, V9, P109, DOI DOI 10.5194/BGD-9-109-2012
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
Galand PE, 2012, FEMS MICROBIOL ECOL, V79, P203, DOI 10.1111/j.1574-6941.2011.01209.x
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Gallagher JM, 2004, FEMS MICROBIOL ECOL, V47, P249, DOI 10.1016/S0168-6496(03)00281-2
Ghiglione JF, 2008, BIOGEOSCIENCES, V5, P1751, DOI 10.5194/bg-5-1751-2008
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Hewson I, 2006, LIMNOL OCEANOGR, V51, P1274, DOI 10.4319/lo.2006.51.3.1274
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Jing HM, 2012, AQUAT MICROB ECOL, V65, P207, DOI 10.3354/ame01546
Kataoka T, 2009, J MARINE SYST, V77, P197, DOI 10.1016/j.jmarsys.2008.12.006
Kembel SW, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023214
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Koskinen K, 2011, FEMS MICROBIOL ECOL, V75, P99, DOI 10.1111/j.1574-6941.2010.00987.x
Liu HB, 2007, DEEP-SEA RES PT II, V54, P1602, DOI 10.1016/j.dsr2.2007.05.004
Lo Giudice A, 2006, J APPL MICROBIOL, V101, P1039, DOI 10.1111/j.1365-2672.2006.03006.x
López-García P, 2001, FEMS MICROBIOL ECOL, V36, P193, DOI 10.1016/S0168-6496(01)00133-7
Ma Y, 2009, MICROBIOL RES, V164, P624, DOI 10.1016/j.micres.2008.01.001
Moeseneder MM, 2001, J MICROBIOL METH, V44, P159, DOI 10.1016/S0167-7012(00)00247-5
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Quince C, 2008, ISME J, V2, P997, DOI 10.1038/ismej.2008.69
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Suzuki K, 2011, DEEP-SEA RES PT I, V58, P575, DOI 10.1016/j.dsr.2011.03.003
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Worden AZ, 2006, TRENDS MICROBIOL, V14, P331, DOI 10.1016/j.tim.2006.06.008
Yan BQ, 2009, EXTREMOPHILES, V13, P725, DOI 10.1007/s00792-009-0263-1
Yu Y, 2005, BIOTECHNOL BIOENG, V89, P670, DOI 10.1002/bit.20347
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 48
TC 45
Z9 51
PD NOV 13
PY 2013
VL 8
IS 11
AR e79423
DI 10.1371/journal.pone.0079423
UT WOS:000327254700131
DA 2025-07-30
ER
PT J
AU Oggerin, M
Viver, T
Brüwer, J
Voss, D
García-Llorca, M
Zielinski, O
Orellana, LH
Fuchs, BM
AF Oggerin, Monike
Viver, Tomeu
Bruwer, Jan
Voss, Daniela
Garcia-Llorca, Marina
Zielinski, Oliver
Orellana, Luis H.
Fuchs, Bernhard M.
TI Niche differentiation within bacterial key-taxa in stratified surface
waters of the Southern Pacific Gyre
SO ISME JOURNAL
DT Article
AB One of the most hostile marine habitats on Earth is the surface of the South Pacific Gyre (SPG), characterized by high solar radiation, extreme nutrient depletion, and low productivity. During the SO-245 "UltraPac" cruise through the center of the ultra-oligotrophic SPG, the marine alphaproteobacterial group AEGEAN169 was detected by fluorescence in situ hybridization at relative abundances up to 6% of the total microbial community in the uppermost water layer, with two distinct populations (Candidatus Nemonibacter and Ca. Indicimonas). The high frequency of dividing cells combined with high transcript levels suggests that both clades may be highly metabolically active. Comparative metagenomic and metatranscriptomic analyses of AEGEAN169 revealed that they encoded subtle but distinct metabolic adaptions to this extreme environment in comparison to their competitors SAR11, SAR86, SAR116, and Prochlorococcus. Both AEGEAN169 clades had the highest percentage of transporters per predicted proteins (9.5% and 10.6%, respectively). In particular, the high expression of ABC transporters in combination with proteorhodopsins and the catabolic pathways detected suggest a potential scavenging lifestyle for both AEGEAN169 clades. Although both AEGEAN169 clades may share the genomic potential to utilize phosphonates as a phosphorus source, they differ in their metabolic pathways for carbon and nitrogen. Ca. Nemonibacter potentially use glycine-betaine, whereas Ca. Indicimonas may catabolize urea, creatine, and fucose. In conclusion, the different potential metabolic strategies of both clades suggest that both are well adapted to thrive resource-limited conditions and compete well with other dominant microbial clades in the uppermost layers of SPG surface waters.
C1 [Oggerin, Monike; Viver, Tomeu; Bruwer, Jan; Garcia-Llorca, Marina; Orellana, Luis H.; Fuchs, Bernhard M.] Max Planck Inst Marine Microbiol, Dept Mol Ecol, Celsiusstr 1, D-28359 Bremen, Germany.
[Voss, Daniela; Zielinski, Oliver] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Wilhelmshafen, Germany.
[Zielinski, Oliver] Leibniz Inst Balt Sea Res Warnemunde, D-18119 Rostock, Germany.
RP Oggerin, M; Fuchs, BM (corresponding author), Max Planck Inst Marine Microbiol, Dept Mol Ecol, Celsiusstr 1, D-28359 Bremen, Germany.
EM moggerin@mpi-bremen.de; bfuchs@mpi-bremen.de
CR Aanes H, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089158
Alneberg J, 2014, NAT METHODS, V11, P1144, DOI [10.1038/NMETH.3103, 10.1038/nmeth.3103]
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Berman T, 2003, AQUAT MICROB ECOL, V31, P279, DOI 10.3354/ame031279
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Bosdriesz E, 2015, FEBS J, V282, P2394, DOI 10.1111/febs.13289
Bougouffa S, 2013, APPL ENVIRON MICROB, V79, P3425, DOI 10.1128/AEM.00254-13
Boysen AK, 2022, ENVIRON MICROBIOL, V24, P2380, DOI 10.1111/1462-2920.16020
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Bushnell B., 2014, BBMAP FAST ACCURATE
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Clark LL, 1999, AM J SCI, V299, P724, DOI 10.2475/ajs.299.7-9.724
Claustre H, 2008, BIOGEOSCIENCES, V5, P463, DOI 10.5194/bg-5-463-2008
Claustre H, 2003, SCIENCE, V302, P1514, DOI 10.1126/science.1092704
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Duerschlag J, 2022, ISME J, V16, P465, DOI 10.1038/s41396-021-01072-z
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Getz EW, 2023, MSYSTEMS, V8, DOI 10.1128/msystems.00179-23
Gil R, 2004, MICROBIOL MOL BIOL R, V68, P518, DOI 10.1128/MMBR.68.3.518-537.2004
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gomez-Consarnau L, 2018, bioRxiv, DOI [10.1101/231167, 10.1101/231167, DOI 10.1101/231167]
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Halm H, 2012, ISME J, V6, P1238, DOI 10.1038/ismej.2011.182
Hilderbrand R.L., 1983, P5
Hobbs ME, 2013, BIOCHEMISTRY-US, V52, P239, DOI 10.1021/bi3015554
Huerta-Cepas J, 2019, NUCLEIC ACIDS RES, V47, pD309, DOI 10.1093/nar/gky1085
Huerta-Cepas J, 2017, MOL BIOL EVOL, V34, P2115, DOI 10.1093/molbev/msx148
Hug LA., Microbiome Analysis: Methods and Protocols, P215, DOI [10.1007/978-1-4939-8728-314, DOI 10.1007/978-1-4939-8728-314]
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
Kitzinger K, 2019, NAT MICROBIOL, V4, P234, DOI 10.1038/s41564-018-0316-2
Konstantinidis KT, 2005, J BACTERIOL, V187, P6258, DOI 10.1128/JB.187.18.6258-6264.2005
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Lami R, 2007, APPL ENVIRON MICROB, V73, P4198, DOI 10.1128/AEM.02652-06
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Latifi A, 2009, FEMS MICROBIOL REV, V33, P258, DOI 10.1111/j.1574-6976.2008.00134.x
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
LEE C, 1995, BIOGEOCHEMISTRY, V29, P131
Lesser MP, 2006, ANNU REV PHYSIOL, V68, P253, DOI 10.1146/annurev.physiol.68.040104.110001
Liu Q, 2022, MAR CHEM, V242, DOI 10.1016/j.marchem.2022.104121
Lockwood S, 2022, ISME J, V16, P2198, DOI 10.1038/s41396-022-01266-z
LONGHURST A, 1995, J PLANKTON RES, V17, P1245, DOI 10.1093/plankt/17.6.1245
Longhurst A.R., 2007, Ecological Geography of the Sea, P327, DOI [DOI 10.1016/B978-012455521-1/50012-7, 10.1016/B978-0124555211/50012-7, DOI 10.1016/B978-0124555211/50012-7]
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martijn J, 2018, NATURE, V557, P101, DOI 10.1038/s41586-018-0059-5
Masquelier S, 2008, BIOGEOSCIENCES, V5, P311, DOI 10.5194/bg-5-311-2008
McParland EL, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.689306
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Morel A, 2007, LIMNOL OCEANOGR, V52, P217, DOI 10.4319/lo.2007.52.1.0217
Mou XZ, 2011, ENV MICROBIOL REP, V3, P798, DOI 10.1111/j.1758-2229.2011.00289.x
Mulligan C, 2011, FEMS MICROBIOL REV, V35, P68, DOI 10.1111/j.1574-6976.2010.00236.x
Muñoz-Gómez SA, 2019, ELIFE, V8, DOI [10.7554/elife.42535, 10.7554/eLife.42535]
Nayfach S, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0611-7
Obernosterer I, 2008, BIOGEOSCIENCES, V5, P693, DOI 10.5194/bg-5-693-2008
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Orellana LH, 2022, ISME J, V16, P630, DOI 10.1038/s41396-021-01105-7
Osterholz H, 2021, MAR CHEM, V231, DOI 10.1016/j.marchem.2021.103955
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Parks DH, 2020, NAT BIOTECHNOL, V38, P1079, DOI 10.1038/s41587-020-0501-8
Pearman JK, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-06928-z
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
Quinn JP, 2007, ENVIRON MICROBIOL, V9, P2392, DOI 10.1111/j.1462-2920.2007.01397.x
Raimbault P, 2008, BIOGEOSCIENCES, V5, P281, DOI 10.5194/bg-5-281-2008
Reintjes G, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00184-19
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
Rocha DJP, 2015, ANTON LEEUW INT J G, V108, P685, DOI 10.1007/s10482-015-0524-1
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Rodriguez-R LM., 2014, MICROBE, V9, P111, DOI [10.1128/microbe.9.111.1, DOI 10.1128/MICROBE.9.111.1]
Rodriguez-R LM., 2016, PeerJ Preprints, V4, pe1900v1, DOI [DOI 10.7287/PEERJ.PREPRINTS.1900V1, 10.7287/peerj.preprints.1900v1]
Saier MH Jr, 2016, NUCLEIC ACIDS RES, V44, pD372, DOI 10.1093/nar/gkv1103
Santic D, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90863-7
Shen W, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163962
SHIEH HS, 1965, CAN J MICROBIOL, V11, P375, DOI 10.1139/m65-045
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Silchenko AS, 2018, BIOMOLECULES, V8, DOI 10.3390/biom8040098
Sosa OA, 2019, ENVIRON MICROBIOL, V21, P2402, DOI 10.1111/1462-2920.14628
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Szpilewska H, 2003, CURR MICROBIOL, V47, P379, DOI 10.1007/s00284-002-4024-y
Tedetti M, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL029823
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Thomas GH, 2006, MICROBIOL-SGM, V152, P187, DOI 10.1099/MIC.0.28334-0
Timmins GS, 2001, J MOL EVOL, V52, P321, DOI 10.1007/s002390010162
Uritskiy GV, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0541-1
Van Wambeke F, 2008, BIOGEOSCIENCES, V5, P157, DOI 10.5194/bg-5-157-2008
Vidal-Melgosa S, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21009-6
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Villarreal-Chiu JF, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00019
Wang S, 2018, ISME J, V12, P2582, DOI 10.1038/s41396-018-0163-4
Wawrik B, 2018, AQUAT MICROB ECOL, V80, P153, DOI 10.3354/ame01850
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Wu YW, 2016, BIOINFORMATICS, V32, P605, DOI 10.1093/bioinformatics/btv638
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
Yew WS, 2006, BIOCHEMISTRY-US, V45, P14582, DOI 10.1021/bi061687o
Yin YB, 2012, NUCLEIC ACIDS RES, V40, pW445, DOI 10.1093/nar/gks479
Zhang H, 2018, NUCLEIC ACIDS RES, V46, pW95, DOI 10.1093/nar/gky418
NR 104
TC 0
Z9 0
PD AUG 30
PY 2024
VL 18
IS 1
AR wrae155
DI 10.1093/ismejo/wrae155
UT WOS:001302053600001
DA 2025-07-30
ER
PT J
AU Park, BS
Lee, M
Shin, K
Baek, SH
AF Park, Bum Soo
Lee, Minji
Shin, Kyoungsoon
Baek, Seung Ho
TI Response of the bacterioplankton composition to inorganic nutrient
loading and phytoplankton in southern Korean coastal waters: A mesocosm
study
SO MARINE ECOLOGY-AN EVOLUTIONARY PERSPECTIVE
DT Article
AB In Korean coastal waters (KCW), nutrient loading from the four major rivers usually peaks in summer, probably due to the large amount of water discharge in rainy seasons, but little is known about the responses of the bacterial community composition to inorganic nutrient loading. To gain deeper understanding of variations in marine microbial biodiversity and function with inorganic nutrient loading, a large-scale mesocosm (1,000 L) experiment was conducted in southern KCW for 10 days in summer (July 27 through August 6, 2015) and the bacterioplankton community composition (BCC) was investigated using 16S rRNA amplicon pyrosequencing method. The bioassays established in the mesocosm were designed with the following each nutrient dosing treatments: nitrate (+N), phosphate (+P), and nitrate plus phosphate (+NP). Among the three treatments, the +NP and +N treatments exhibited the largest and second-largest increases in phytoplankton abundance, respectively, whereas there was relatively less variation under the +P treatment. Enhanced growth of phytoplankton not only induced increases in pH and bacterial abundance (p < .05) but also led to changes in the BCC: the orders Flavobacteria, Micrococcales, Oceanospirillales, and Rhodobacterales exhibited increases in relative abundance, whereas Methylophilales, Puniceicoccales, SAR11, SAR116, and SAR86 showed a decreasing trend. Inorganic nutrients may directly contribute to variation in the BCC, as the relative abundance of Sphingobacteriales, containing members that undergo chemotaxis toward inorganic nutrients, was increased by the +N treatment. Given that these findings, changes in phytoplankton abundance due to nutrient addition may be the most crucial component resulting in variation in the BCC.
C1 [Park, Bum Soo] Korea Inst Ocean Sci & Technol, Marine Ecosyst Res Ctr, Busan, South Korea.
[Lee, Minji; Baek, Seung Ho] Korea Inst Ocean Sci & Technol, Risk Assessment Res Ctr, Geoje 53201, South Korea.
[Shin, Kyoungsoon] Korea Inst Ocean Sci & Technol, Ballast Water Res Ctr, Geoje, South Korea.
RP Baek, SH (corresponding author), Korea Inst Ocean Sci & Technol, Risk Assessment Res Ctr, Geoje 53201, South Korea.
EM baeksh@kiost.ac.kr
CR Anderson DM, 2002, ESTUARIES, V25, P704, DOI 10.1007/BF02804901
Andersson AF, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002836
Angly FE, 2016, PEERJ, V4, DOI 10.7717/peerj.1511
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Baek SH, 2019, CONT SHELF RES, V175, P116, DOI 10.1016/j.csr.2019.01.014
Baek SH, 2015, ESTUAR COAST SHELF S, V163, P265, DOI 10.1016/j.ecss.2014.12.035
Balmer MB, 2011, INLAND WATERS, V1, P125, DOI 10.5268/IW-1.2.366
Biddanda B, 1997, LIMNOL OCEANOGR, V42, P506, DOI 10.4319/lo.1997.42.3.0506
Bienhold C, 2012, ISME J, V6, P724, DOI 10.1038/ismej.2011.140
BJORNSEN PK, 1988, LIMNOL OCEANOGR, V33, P151, DOI 10.4319/lo.1988.33.1.0151
Bouwman AF, 2005, PEDOSPHERE, V15, P137
BRZEZINSKI MA, 1985, J PHYCOL, V21, P347
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Carini PJ, 2014, DISSERTATION
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
CARON DA, 1994, MICROBIAL ECOL, V28, P295, DOI 10.1007/BF00166820
Chun J, 2010, BMC MICROBIOL, V10, DOI 10.1186/1471-2180-10-101
CLARKE KR, 2001, CHANGE MARINE COMMUN
Curtis TP, 2006, PHILOS T R SOC B, V361, P2023, DOI 10.1098/rstb.2006.1921
Dennis PG, 2013, ISME J, V7, P1661, DOI 10.1038/ismej.2013.47
Fisher TR, 1999, MAR BIOL, V133, P763, DOI 10.1007/s002270050518
Galloway JN, 2004, BIOGEOCHEMISTRY, V70, P153, DOI 10.1007/s10533-004-0370-0
Giordano M, 2005, ANNU REV PLANT BIOL, V56, P99, DOI 10.1146/annurev.arplant.56.032604.144052
GOLDMAN JC, 1979, NATURE, V279, P210, DOI 10.1038/279210a0
González JM, 1999, APPL ENVIRON MICROB, V65, P3810
Gu BH, 2011, AQUAT SCI, V73, P317, DOI 10.1007/s00027-010-0179-y
Hagström &, 2001, ECOL STU AN, V148, P177
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Hamady M, 2010, ISME J, V4, P17, DOI 10.1038/ismej.2009.97
Han MQ, 2012, MAR BIOTECHNOL, V14, P701, DOI 10.1007/s10126-012-9436-5
Hasle G., 1978, Phytoplank Manual, Monographs on Oceanographic Methodol, V6, P136, DOI [10.1016/j.rsma.2022.102689, DOI 10.1016/J.RSMA.2022.102689]
Hein M, 1997, FRESHWATER BIOL, V37, P545, DOI 10.1046/j.1365-2427.1997.00180.x
HELLEBUST J. A., 1965, LIMNOL OCEANOGR, V10, P192
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Hur M, 2011, APPL ENVIRON MICROB, V77, P7611, DOI 10.1128/AEM.06102-11
Ibelings BW, 1998, LIMNOL OCEANOGR, V43, P408, DOI 10.4319/lo.1998.43.3.0408
Joint I, 2002, AQUAT MICROB ECOL, V29, P145, DOI 10.3354/ame029145
Judd KE, 2006, ECOLOGY, V87, P2068, DOI 10.1890/0012-9658(2006)87[2068:VIDOMC]2.0.CO;2
Kim BS, 2012, ANAEROBE, V18, P310, DOI 10.1016/j.anaerobe.2012.01.003
Kim JH, 2019, MAR FRESHWATER RES, V70, P794, DOI 10.1071/MF18244
Kim JG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221408
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
KIRCHMAN DL, 1994, MICROBIAL ECOL, V28, P255, DOI 10.1007/BF00166816
Kroeze C, 1998, NUTR CYCL AGROECOSYS, V52, P195, DOI 10.1023/A:1009780608708
Lazzarino JK, 2009, HYDROBIOLOGIA, V627, P169, DOI 10.1007/s10750-009-9723-y
Lee M, 2018, ESTUAR COAST, V41, P1977, DOI 10.1007/s12237-018-0404-9
Maberly SC, 1996, FRESHWATER BIOL, V35, P579, DOI 10.1111/j.1365-2427.1996.tb01770.x
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Merzouk A, 2008, MAR ECOL PROG SER, V369, P1, DOI 10.3354/meps07664
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Myklestad SM, 2000, HANDB ENVIRON CHEM, V5, P111
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Ovreås L, 2003, AQUAT MICROB ECOL, V31, P109, DOI 10.3354/ame031109
Park BS, 2018, MAR FRESHWATER RES, V69, P290, DOI 10.1071/MF17102
Park BS, 2017, MAR ECOL-EVOL PERSP, V38, DOI 10.1111/maec.12474
Park BS, 2016, HARMFUL ALGAE, V56, P29, DOI 10.1016/j.hal.2016.04.006
Park BS, 2015, HARMFUL ALGAE, V48, P44, DOI 10.1016/j.hal.2015.07.004
Passow U, 2002, PROG OCEANOGR, V55, P287, DOI 10.1016/S0079-6611(02)00138-6
Patra AK, 2012, APPL ENVIRON MICROB, V78, P4271, DOI 10.1128/AEM.00309-12
Pomeroy LR, 2001, SCI MAR, V65, P31, DOI 10.3989/scimar.2001.65s231
Price GD, 2008, J EXP BOT, V59, P1441, DOI 10.1093/jxb/erm112
PROCTOR LM, 1991, MAR ECOL PROG SER, V69, P133, DOI 10.3354/meps069133
Rabalais NN, 2002, AMBIO, V31, P102, DOI 10.1579/0044-7447-31.2.102
Redfield A.C., 1963, The Sea: Ideas and Observations on Progress in the Study of the Seas, V2, P26
Reimann B.E. F., 1964, J R MICROSC SOC, V83, P283, DOI DOI 10.1111/J.1365-2818.1964.TB00542.X
Sandrini G, 2014, ISME J, V8, P589, DOI 10.1038/ismej.2013.179
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Seitzinger SP, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2005GB002606
Seitzinger SP, 2002, ESTUARIES, V25, P640, DOI 10.1007/BF02804897
Seyedsayamdost MR, 2011, J AM CHEM SOC, V133, P18343, DOI 10.1021/ja207172s
Sipura J, 2005, J PLANKTON RES, V27, P1261, DOI 10.1093/plankt/fbi092
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sosa OA, 2015, ISME J, V9, P2725, DOI 10.1038/ismej.2015.68
Spilling K, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0126308
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Studio R., 2012, Rstudio: Integrated development environment for r
Suksomjit M, 2009, J OCEANOGR, V65, P835, DOI 10.1007/s10872-009-0069-x
TALLING JF, 1976, J ECOL, V64, P79, DOI 10.2307/2258685
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
Tang YZ, 2010, P NATL ACAD SCI USA, V107, P20756, DOI 10.1073/pnas.1009566107
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Townsend AR, 2003, FRONT ECOL ENVIRON, V1, P240, DOI 10.2307/3868011
Verschoor AM, 2013, FRESHWATER BIOL, V58, P597, DOI 10.1111/j.1365-2427.2012.02833.x
Verspagen JMH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0104325
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Wagner-Döbler I, 2010, ISME J, V4, P61, DOI 10.1038/ismej.2009.94
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Zhang Y, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0157178
NR 92
TC 13
Z9 14
PD JUN
PY 2020
VL 41
IS 3
AR e12591
DI 10.1111/maec.12591
EA APR 2020
UT WOS:000527793000001
DA 2025-07-30
ER
PT J
AU Hernandez-Magana, AE
Liu, Y
Debeljak, P
Crispi, O
Marie, B
Koedooder, C
Obernosterer, I
AF Hernandez-Magana, Alejandra Elisa
Liu, Yan
Debeljak, Pavla
Crispi, Olivier
Marie, Barbara
Koedooder, Coco
Obernosterer, Ingrid
TI Prokaryotic diversity and activity in contrasting productivity regimes
in late summer in the Kerguelen region (Southern Ocean)
SO JOURNAL OF MARINE SYSTEMS
DT Article
AB Natural iron (Fe) fertilization sustains phytoplankton blooms above the Kerguelen plateau (Indian sector of the Southern Ocean) within otherwise low productive off-plateau waters. In early spring and summer, these diatomdominated blooms are associated with distinct heterotrophic prokaryotic communities, but whether a structuring effect extends to the post-bloom period has thus far not been investigated. To address this question, we carried out a detailed study of the prokaryotic community composition in the region of Kerguelen Island during late Austral summer (18 February to 27 March 2018; MOBYDICK project). Concentrations of chlorophyll a were seasonally low above the plateau (0.27-0.58 mu g Chl a L-1) and in a similar range to those at the 3 off-plateau sites investigated (0.14-0.34 mu g Chl a L-1), but we observed an accumulation of dissolved organic carbon and the build-up of heterotrophic prokaryotic biomass in Kerguelen plateau waters. Illumina sequencing of the 16S rRNA gene revealed that the total (DNA-based) and potentially active (RNA-based) prokaryotic communities were structured according to on- and off-plateau sites in the wind-mixed surface layer, in both the free-living ( 0.8 mu m size fraction) and particle-attached ( 0.8 mu m size fraction) fractions. The Amplicon Sequence Variants (ASV) with significantly higher relative abundances in on-plateau surface waters as compared to off-plateau waters belonged to Halieaceae OM60 group, several Flavobacteriaceae, such as the NS5 marine group, Aurantivirga and Ulvibacter, Rhodobacteraceae Loktanella, Saprospiraceae, and the Cryomorphaceae NS10 marine group. ASVs with higher relative abundances in off-plateau waters belonged to the Flavobacteriaceae Formosa, the Rhodobacteraceae Planktomarina and the SAR11 clade. We discuss the potential abiotic and biotic drivers of community composition in late Austral summer and the ecological roles of abundant prokaryotic taxa in Kerguelen plateau waters.
C1 [Hernandez-Magana, Alejandra Elisa; Liu, Yan; Debeljak, Pavla; Crispi, Olivier; Marie, Barbara; Koedooder, Coco; Obernosterer, Ingrid] Sorbonne Univ, CNRS, Lab Oceanog Microbienne, LOMIC, F-66650 Banyuls Sur Mer, France.
[Hernandez-Magana, Alejandra Elisa] Univ Southern Denmark, Dept Biol, Nordcee, Odense M, Denmark.
[Liu, Yan] Ludong Univ, Sch Life Sci, Yantai, Peoples R China.
[Debeljak, Pavla] Univ Vienna, Dept Funct & Evolutionary Ecol, A-1090 Vienna, Austria.
[Debeljak, Pavla] Sorbonne Univ, CNRS, Museum Natl Hist Nat, Inst Syst,Evolut,Biodiversite ISYEB, Banyuls Sur Mer, France.
[Debeljak, Pavla; Koedooder, Coco] Hebrew Univ Jerusalem, Fredy & Nadine Herrmann Inst Earth Sci, Jerusalem, Israel.
RP Obernosterer, I (corresponding author), Sorbonne Univ, CNRS, Microbial Oceanog Lab LOMIC, 1 Ave Pierre Fabre, F-66650 Banyuls Sur Mer, France.
EM ingrid.obernosterer@obs-banyuls.fr
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
[Anonymous], 2015, FRONT MICROBIOL
Armand LK, 2008, DEEP-SEA RES PT II, V55, P653, DOI 10.1016/j.dsr2.2007.12.031
Bachmann J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02836
Baltar F, 2016, ISME J, V10, P568, DOI 10.1038/ismej.2015.135
Barofsky A, 2009, LIMNOL OCEANOGR-METH, V7, P382, DOI 10.4319/lom.2009.7.382
Belviso S, 2008, DEEP-SEA RES PT II, V55, P893, DOI 10.1016/j.dsr2.2007.12.040
BENNER R, 1993, MAR CHEM, V41, P153, DOI 10.1016/0304-4203(93)90113-3
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Blain S, 2021, LIMNOL OCEANOGR, V66, P753, DOI 10.1002/lno.11638
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Callahan Ben J, 2016, F1000Res, V5, P1492
Callahan BJ, 2017, ISME J, V11, P2639, DOI 10.1038/ismej.2017.119
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Christaki U, 2008, DEEP-SEA RES PT II, V55, P706, DOI 10.1016/j.dsr2.2007.12.009
Christaki U, 2014, BIOGEOSCIENCES, V11, P6739, DOI 10.5194/bg-11-6739-2014
Christaki U, 2021, LIMNOL OCEANOGR, V66, P108, DOI 10.1002/lno.11591
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Debeljak P, 2019, ENVIRON MICROBIOL, V21, P2360, DOI 10.1111/1462-2920.14621
Ducklow H.W., 2007, MAR CHEM, V11
Fuchs BM, 2007, P NATL ACAD SCI USA, V104, P2891, DOI 10.1073/pnas.0608046104
Georges C, 2014, BIOGEOSCIENCES, V11, P5847, DOI 10.5194/bg-11-5847-2014
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Gouy M, 2010, MOL BIOL EVOL, V27, P221, DOI 10.1093/molbev/msp259
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Hahn MW, 2001, FEMS MICROBIOL ECOL, V35, P113, DOI 10.1111/j.1574-6941.2001.tb00794.x
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Irion S, 2020, LIMNOL OCEANOGR, V65, P2835, DOI 10.1002/lno.11555
Kappelmann L, 2019, ISME J, V13, P76, DOI 10.1038/s41396-018-0242-6
Katoh K, 2019, BRIEF BIOINFORM, V20, P1160, DOI 10.1093/bib/bbx108
Kolde Raivo, 2019, CRAN
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Lafond A, 2020, J MARINE SYST, V212, DOI 10.1016/j.jmarsys.2020.103458
Landa M, 2014, ENVIRON MICROBIOL, V16, P1668, DOI 10.1111/1462-2920.12242
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lasbleiz M, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw171
Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
Legendre P., 2012, Anonymous Numerical Ecology: Developments in Environmental Modelling, V3rd, P625, DOI [10.1016/B978-0-444-53868-0.50011-3, DOI 10.1016/B978-0-444-53868-0.50011-3]
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
Liu Y, 2019, ENVIRON MICROBIOL, V21, P1452, DOI 10.1111/1462-2920.14579
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mitulla M, 2016, ENVIRON MICROBIOL, V18, P4369, DOI 10.1111/1462-2920.13314
MYKLESTAD S, 1989, J PLANKTON RES, V11, P763, DOI 10.1093/plankt/11.4.763
Nowinski B, 2019, ENVIRON MICROBIOL, V21, P1687, DOI 10.1111/1462-2920.14560
Obernosterer I, 2015, BIOGEOSCIENCES, V12, P1983, DOI 10.5194/bg-12-1983-2015
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Oksanen Jari, 2024, CRAN
Ortega-Retuerta E, 2013, BIOGEOSCIENCES, V10, P2747, DOI 10.5194/bg-10-2747-2013
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pauthenet E, 2018, GEOPHYS RES LETT, V45, P9774, DOI 10.1029/2018GL079614
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2018, R LANG ENV STAT COMP
Ras J, 2008, BIOGEOSCIENCES, V5, P353, DOI 10.5194/bg-5-353-2008
Sassenhagen I, 2020, PROTIST, V171, DOI 10.1016/j.protis.2019.125709
Schoemann V, 2005, J SEA RES, V53, P43, DOI 10.1016/j.seares.2004.01.008
Steinberg DK, 2017, ANNU REV MAR SCI, V9, P413, DOI 10.1146/annurev-marine-010814-015924
Steiner PA, 2019, ENV MICROBIOL REP, V11, P699, DOI 10.1111/1758-2229.12783
Stoddard SF, 2015, NUCLEIC ACIDS RES, V43, pD593, DOI 10.1093/nar/gku1201
Sun Y., ISME J, P1
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2019, ENVIRON MICROBIOL, V21, P1482, DOI 10.1111/1462-2920.14581
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Zhang R, 2007, FEMS MICROBIOL ECOL, V61, P496, DOI 10.1111/j.1574-6941.2007.00353.x
Zhang Y, 2020, MAR POLLUT BULL, V156, DOI 10.1016/j.marpolbul.2020.111230
NR 68
TC 8
Z9 9
PD SEP
PY 2021
VL 221
AR 103561
DI 10.1016/j.jmarsys.2021.103561
EA JUN 2021
UT WOS:000658513500002
DA 2025-07-30
ER
PT J
AU Kallistova, AY
Kosyakova, AI
Rusanov, II
Kadnikov, VV
Beletsky, AV
Koval, DD
Yusupov, SK
Zekker, I
Pimenov, NV
AF Kallistova, A. Yu.
Kosyakova, A. I.
Rusanov, I. I.
Kadnikov, V. V.
Beletsky, A. V.
Koval, D. D.
Yusupov, S. K.
Zekker, I.
Pimenov, N. V.
TI Methane Production in a Temperate Freshwater Lake during an Intense
Cyanobacterial Bloom
SO MICROBIOLOGY
DT Article
AB Seasonal cyanobacterial blooms have a negative impact on freshwater ecosystems. The role of cyanobacteria in methane production and their relationship with methanogenic archaea are not yet well understood. The goal of the present work was to identify the features of methanogenesis in the water column and sediments of a profundal part of the freshwater Lake Senezh (Moscow oblast) during a period of cyanobacterial over-bloom. Analytical, radiotracer, microscopic, molecular biological, and incubation techniques were used. Alkalization and oxygen oversaturation of the 0-2-m water layer were caused by intensive photosynthesis. The near-bottom water (4 m) was pH-neutral and hypoxic; the sediments were reduced. Methane was detected throughout the water column; its concentration in the surface water was an order of magnitude lower than in the near-bottom water and 4 orders of magnitude lower than in the sediments. Cyanobacteria of the species Microcystisaeruginosa predominated in the photic zone (up to 30% of the total number of the 16S rRNA gene fragments). The sequences of cyanobacteria and freshwater members of the SAR11 clade, which can potentially be involved in aerobic methanogenesis via decomposition of methylphosphonates (MPn), were also detected. The sequences of hydrogenotrophic methanogens of the genus Methanoregula, which are potentially capable of methanogenesis in cooperation with cyanobacteria, were revealed in oxygen-supersaturated water. Hydrogenotrophic and acetoclastic pathways of methanogenesis predominated in reduced sediments. Sequences of methanogens of the orders Methanomicrobiales, Methanobacteriales, Methanosarciniales, and Methanomassiliicoccales were detected there. Cyanobacterial bloom promoted methanogenesis both in the photic zone of Lake Senezh (due to MPn decomposition and anaerobic methanogenesis in association with cyanobacterial aggregates) and in the near-bottom water and sediments (due to oxygen depletion and excessive release of substrates caused by sedimentation and degradation of cyanobacterial mortmass).
C1 [Kallistova, A. Yu.; Kosyakova, A. I.; Rusanov, I. I.; Kadnikov, V. V.; Beletsky, A. V.; Koval, D. D.; Yusupov, S. K.; Pimenov, N. V.] Russian Acad Sci, Fed Res Ctr Biotechnol, Moscow 119071, Russia.
[Zekker, I.] Univ Tartu, EE-50411 Tartu, Estonia.
RP Kallistova, AY (corresponding author), Russian Acad Sci, Fed Res Ctr Biotechnol, Moscow 119071, Russia.
EM kallistoanna@mail.ru
CR ASADA Y, 1984, AGR BIOL CHEM TOKYO, V48, P2595
Asada Y., BioHydrogen
Berg A, 2014, WORLD J MICROB BIOT, V30, P539, DOI 10.1007/s11274-013-1463-5
Bizic M., 2020, eLS, P1, DOI DOI 10.1002/9780470015902.A0028892
Borrel G, 2011, RES MICROBIOL, V162, P832, DOI 10.1016/j.resmic.2011.06.004
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Diaz RJ, 2008, SCIENCE, V321, P926, DOI 10.1126/science.1156401
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Frey B, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw018
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Huisman J, 2018, NAT REV MICROBIOL, V16, P471, DOI 10.1038/s41579-018-0040-1
Kallistova AY, 2023, MICROBIOLOGY+, V92, P153, DOI 10.1134/S0026261722602901
Kallistova AY, 2021, MICROBIOLOGY+, V90, P261, DOI 10.1134/S0026261721020065
Kallistova A, 2019, AQUAT MICROB ECOL, V82, P1, DOI 10.3354/ame01878
Li C, 2021, ENVIRON MICROBIOL, V23, P6503, DOI 10.1111/1462-2920.15691
Lyautey E, 2021, MICROB ECOL, V82, P559, DOI 10.1007/s00248-021-01689-9
Lyu Z, 2018, ISME J, V12, P411, DOI 10.1038/ismej.2017.173
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
MCAULLIF C, 1971, CHEM TECHNOL, P46
Namsaraev ZB, 2009, MICROBIOLOGY+, V78, P794, DOI 10.1134/S0026261709060174
Peura S, 2015, SCI REP-UK, V5, DOI 10.1038/srep12102
Rashid N, 2009, J IND ENG CHEM, V15, P498, DOI 10.1016/j.jiec.2008.12.013
Reinl KL, 2023, LIMNOL OCEANOGR LETT, V8, P546, DOI 10.1002/lol2.10316
Rissanen AJ, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix078
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Samylina OS, 2023, MICROBIOLOGY+, V92, P293, DOI 10.1134/S002626172260327X
Smucker NJ, 2021, GLOBAL CHANGE BIOL, V27, P2507, DOI 10.1111/gcb.15618
Sorokin Y.I., 1972, IBP HDB
Stal Lucas J., 2015, Nitrogen Fixation in Cyanobacteria, P1, DOI [DOI 10.1002/9780470015902.A0021159.PUB2, 10.1002/9780470015902.a0021159.pub2]
Tsementzi D, 2019, SYST APPL MICROBIOL, V42, P495, DOI 10.1016/j.syapm.2019.03.007
Wetzel RG., 2001, LIMNOLOGY LAKE RIVER, P1006, DOI DOI 10.1016/C2009-0-02112-6
Wilhelm SW, 2020, MBIO, V11, DOI 10.1128/mBio.00529-20
Xu HL, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.124280
Zhao L, 2022, WATER RES, V217, DOI 10.1016/j.watres.2022.118385
Zhu Y, 2022, SCI TOTAL ENVIRON, V848, DOI 10.1016/j.scitotenv.2022.157570
NR 35
TC 4
Z9 4
PD OCT
PY 2023
VL 92
IS 5
BP 638
EP 649
DI 10.1134/S0026261723601586
UT WOS:001070039300006
DA 2025-07-30
ER
PT J
AU Zhang, Y
Lu, Y
Wang, JH
Xie, LS
Xu, L
He, Y
Xiao, X
Xu, J
AF Zhang, Yu
Lu, Ye
Wang, Jiahua
Xie, Lisa
Xu, Lei
He, Ying
Xiao, Xiang
Xu, Jun
TI Diurnal variations of the microbial community in mesopelagic fish
habitats of the northern slope of the south China sea
SO DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
DT Article
AB The marine microbial community profoundly influences biogeochemical cycles. On the northern slope of the South China Sea (SCS), a considerable reservoir of mesopelagic fishes that present diurnal vertical movement (DVM) as a diel habit has been discovered. To investigate the microbial community and its potential effects on nutrient conversion in this mesopelagic fish habitat, samples were collected throughout the water column every 6 h to monitor changes over the diel cycle and subjected to high-throughput sequencing of the bacterial and archaeal 16S rRNA genes. The bacterial diversity was high and stratified. Most of the bacteria were R-strategists, which indicates strong dynamics. The dominant bacteria were aerobic or facultatively anaerobic chemo-organotrophs, e.g. Flavobacteriaceae, SAR11, Alteromonadales, and Pseudomonadales, whereas Cyanobacteria was detected throughout the water column in rather low abundances. In deeper layers ( >= 200 m), Deferribacterales, which are typical nitrate reducers, increased in abundance after fish digestion and defecation, were correlated with the DVM. The archaeal diversity was extremely low in areas where Marine Group I appeared as the absolute dominant group throughout the entire water column, and this group presents a high ammonium oxidizing potential. The microbial community structural profile suggested that bacteria and archaea played separate roles in the nitrogen cycling process, which was correlated with the fish activity. Moreover, the protein digesters became abnormally more abundant in the deep water at night, which was likely stimulated by the fecal matter and detritus from fish. Our results provide insights into the spatial and temporal distribution of the microbial communities in the SCS, particularly in relation to mesopelagic fish, and thus will be of assistance for estimating the ecological impact of these communities on SCS fish and fisheries based on the enhanced carbon export that occurs via the diel vertical migration of mesopelagic fish.
C1 [Zhang, Yu; Lu, Ye; Wang, Jiahua; Xu, Lei; Xiao, Xiang; Xu, Jun] Shanghai Jiao Tong Univ, Sch Oceanog, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China.
[Zhang, Yu; Lu, Ye; Wang, Jiahua; Xie, Lisa; Xu, Lei; He, Ying; Xiao, Xiang; Xu, Jun] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, State Key Lab Microbial Metab, Shanghai 200240, Peoples R China.
RP Xu, J (corresponding author), Shanghai Jiao Tong Univ, Sch Oceanog, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China.
EM xujunn@sjtu.edu.cn
CR Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Davison PC, 2013, PROG OCEANOGR, V116, P14, DOI 10.1016/j.pocean.2013.05.013
Ferrier M, 2002, J APPL MICROBIOL, V92, P706, DOI 10.1046/j.1365-2672.2002.01576.x
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Hamilton TL, 2017, GEOBIOLOGY, V15, P280, DOI 10.1111/gbi.12219
Hu J., 2000, J. Oceanogr, V56, P607, DOI DOI 10.1023/A:1011117531252
Kosenok NS, 2008, RUSS J MAR BIOL+, V34, P17, DOI 10.1134/S1063074008010033
Li JL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113014
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
Mussmann M, 2011, P NATL ACAD SCI USA, V108, P16771, DOI 10.1073/pnas.1106427108
Nelson CE, 2014, P NATL ACAD SCI USA, V111, P7166, DOI 10.1073/pnas.1405751111
Ohizumi H, 2003, DEEP-SEA RES PT I, V50, P593, DOI 10.1016/S0967-0637(03)00033-5
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Raring NW, 2010, CALIF FISH GAME, V96, P188
Robinson C, 2010, DEEP-SEA RES PT II, V57, P1504, DOI 10.1016/j.dsr2.2010.02.018
Song ZQ, 2013, ENVIRON MICROBIOL, V15, P1160, DOI 10.1111/1462-2920.12025
Van Pelt TI, 1997, COMP BIOCHEM PHYS A, V118, P1393, DOI 10.1016/S0300-9629(97)00240-5
Wang FQ, 2019, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00522
Wang XL, 2019, DEEP-SEA RES PT II, V167, P128, DOI 10.1016/j.dsr2.2019.05.009
Wu JF, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001924
Xie Lisa, 2017, Chinese Journal of Applied and Environmental Biology, V23, P21, DOI 10.3724/SP.J.1145.2016.03005
Xie W, 2014, APPL MICROBIOL BIOT, V98, P7971, DOI 10.1007/s00253-014-5838-9
Yamamura O, 2001, B MAR SCI, V68, P13
Yan WK, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01534
Zhang CLL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01108
Zhang M, 2019, DEEP-SEA RES PT II, V167, P46, DOI 10.1016/j.dsr2.2019.06.012
Zhang Y, 2014, MOL ECOL, V23, P2260, DOI 10.1111/mec.12739
Zhou MY, 2009, MICROB ECOL, V58, P582, DOI 10.1007/s00248-009-9506-z
NR 29
TC 6
Z9 8
PD SEP
PY 2019
VL 167
BP 55
EP 61
DI 10.1016/j.dsr2.2019.06.018
UT WOS:000484651600007
DA 2025-07-30
ER
PT J
AU Morando, M
Capone, DG
AF Morando, Michael
Capone, Douglas G.
TI Intraclade Heterogeneity in Nitrogen Utilization by Marine Prokaryotes
Revealed Using Stable Isotope Probing Coupled with Tag Sequencing (Tag-
SIP)
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Nitrogen can greatly influence the structure and productivity of microbial communities through its relative availability and form. However, the roles of specific organisms in the uptake of different nitrogen species remain poorly characterized. Most studies seeking to identify agents of assimilation have been correlative, indirectly linking activity measurements (e.g., nitrate uptake) with the presence or absence of biological markers, particularly functional genes and their transcripts. Evidence is accumulating of previously underappreciated functional diversity in major microbial subpopulations, which may confer physiological advantages under certain environmental conditions leading to ecotype divergence. This microdiversity further complicates our view of genetic variation in environmental samples requiring the development of more targeted approaches. Here, next-generation tag sequencing was successfully coupled with stable isotope probing (Tag-SIP) to assess the ability of individual phylotypes to assimilate a specific N source. Our results provide the first direct evidence of nitrate utilization by organisms thought to lack the genes required for this process including the heterotrophic clades SAR11 and the Archaeal Marine Group II. Alternatively, this may suggest the existence of tightly coupled metabolisms with primary assimilators, e.g., symbiosis, or the rapid and efficient scavenging of recently released products by highly active individuals. These results may be connected with global dominance often seen with these clades, likely conferring an advantage over other clades unable to access these resources. We also provide new direct evidence of in situ nitrate utilization by the cyanobacterium Prochlorococcus in support of recent findings. Furthermore, these results revealed widespread functional heterogeneity, i.e., different levels of nitrogen assimilation within clades, likely reflecting niche partitioning by ecotypes.
C1 [Morando, Michael; Capone, Douglas G.] Univ Southern Calif, Marine & Environm Biol, Los Angeles, CA 90007 USA.
RP Morando, M (corresponding author), Univ Southern Calif, Marine & Environm Biol, Los Angeles, CA 90007 USA.
EM mikemojr@gmail.com
CR Addison SL, 2010, APPL MICROBIOL BIOT, V87, P2313, DOI 10.1007/s00253-010-2731-z
Alberts B., 2008, Molecular Biology of The Cell, V5th
Allen AE, 2002, J MARINE SYST, V38, P93, DOI 10.1016/S0924-7963(02)00171-9
Allen AE, 2001, APPL ENVIRON MICROB, V67, P5343, DOI 10.1128/AEM.67.11.5343-5348.2001
Behrens S, 2008, APPL ENVIRON MICROB, V74, P3143, DOI 10.1128/AEM.00191-08
Benson DA, 2015, NUCLEIC ACIDS RES, V43, pD30, DOI 10.1093/nar/gku1216
Berges JA, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P1385, DOI 10.1016/B978-0-12-372522-6.00032-3
Berube PM, 2016, LIMNOL OCEANOGR, V61, P482, DOI 10.1002/lno.10226
Berube PM, 2015, ISME J, V9, P1195, DOI 10.1038/ismej.2014.211
Biller SJ, 2014, SCI DATA, V1, DOI 10.1038/sdata.2014.34
Blazewicz SJ, 2013, ISME J, V7, P2061, DOI 10.1038/ismej.2013.102
Bronk DA, 2005, DEEP-SEA RES PT I, V52, P2285, DOI 10.1016/j.dsr.2005.08.002
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buckley DH, 2008, SOIL BIOL BIOCHEM, V40, P1272, DOI 10.1016/j.soilbio.2007.05.006
Buckley DH, 2007, APPL ENVIRON MICROB, V73, P3196, DOI 10.1128/AEM.02610-06
Buckley DH, 2007, APPL ENVIRON MICROB, V73, P3189, DOI 10.1128/AEM.02609-06
Cabello P, 2004, MICROBIOL-SGM, V150, P3527, DOI 10.1099/mic.0.27303-0
Cai HY, 2008, MICROB ECOL, V56, P751, DOI 10.1007/s00248-008-9394-7
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Casey JR, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028725
Connelly TL, 2014, APPL ENVIRON MICROB, V80, P6013, DOI 10.1128/AEM.01431-14
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Follows MJ, 2011, ANNU REV MAR SCI, V3, P427, DOI 10.1146/annurev-marine-120709-142848
Fuller NJ, 2005, LIMNOL OCEANOGR, V50, P363, DOI 10.4319/lo.2005.50.1.0363
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Galloway JN, 2008, SCIENCE, V320, P889, DOI 10.1126/science.1136674
GAUSING K, 1977, J MOL BIOL, V115, P335, DOI 10.1016/0022-2836(77)90158-9
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
GOERICKE R, 1993, DEEP-SEA RES PT I, V40, P2283, DOI 10.1016/0967-0637(93)90104-B
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Gruber N, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P1, DOI 10.1016/B978-0-12-372522-6.00001-3
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Huse SM, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-5
HUTCHINSON G, 1961, AM NAT, V95, P137, DOI 10.1086/282171
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Jiang XX, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0117473
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Kearse M, 2012, BIOINFORMATICS, V28, P1647, DOI 10.1093/bioinformatics/bts199
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
KIRCHMAN DL, 1994, MICROBIAL ECOL, V28, P255, DOI 10.1007/BF00166816
Klausmeier CA, 2004, NATURE, V429, P171, DOI 10.1038/nature02454
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Liu HB, 1997, AQUAT MICROB ECOL, V12, P39, DOI 10.3354/ame012039
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Montoya JP, 2004, NATURE, V430, P1027, DOI 10.1038/nature02824
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murrell JC, 2011, STABLE ISOTOPE PROBING AND RELATED TECHNOLOGIES, P1
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Neufeld JD, 2007, NAT PROTOC, V2, P860, DOI 10.1038/nprot.2007.109
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parsons T.R., 1984, A manual for chemical and biological methods in seawater analysis
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Taylor BW, 2007, J N AM BENTHOL SOC, V26, P167, DOI 10.1899/0887-3593(2007)26[167:ITFAMM]2.0.CO;2
Thompson JD., 2003, Curr Protoc Bioinform, V2, P2, DOI DOI 10.1002/0471250953.BI0203S00
Treibergs LA, 2014, LIMNOL OCEANOGR, V59, P972, DOI 10.4319/lo.2014.59.3.0972
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wawrik B, 2012, FEMS MICROBIOL ECOL, V79, P400, DOI 10.1111/j.1574-6941.2011.01226.x
Wawrik B, 2009, APPL ENVIRON MICROB, V75, P6662, DOI 10.1128/AEM.01002-09
Wuchter C, 2007, P NATL ACAD SCI USA, V104, P5704, DOI 10.1073/pnas.0701630104
Zehr JP, 2001, NATURE, V412, P635, DOI 10.1038/35088063
NR 78
TC 14
Z9 15
PD DEC 2
PY 2016
VL 7
AR 1932
DI 10.3389/fmicb.2016.01932
UT WOS:000389265100001
DA 2025-07-30
ER
PT J
AU Chun, SJ
Cui, Y
Baek, SH
Ahn, CY
Oh, HM
AF Chun, Seong-Jun
Cui, Yingshun
Baek, Seung Ho
Ahn, Chi-Yong
Oh, Hee-Mock
TI Seasonal succession of microbes in different size-fractions and their
modular structures determined by both macro- and micro-environmental
filtering in dynamic coastal waters
SO SCIENCE OF THE TOTAL ENVIRONMENT
DT Article
AB Microbes interact with each other in response to various environmental changes in coastal marine ecosystems. To explore how the macroenvironment (environmental filtering) and species-engineered microenvironment (niche construction) affect the ecological network of the marine microbiome in the highly dynamic coastal waters of Korea, we analyzed the modular structures of the microbial community and identified microbial interconnections in different size fractions for a year. Fluctuations in the macroenvironment, such as temperature and nutrient concentrations driven by seasonal changes, are the major factors in determining successive microbial modules. Compared to particle-associated (PA) microbes, free-living (FL) microbes seemed to be more affected by macroenvironmental filtering. Modules related to nutrients were further divided into various modules according to different lifestyles. In addition, a large transient discharge of the Changjiang (Yangtze River) in summer also formed a distinct microbial module, which was related to the high ammonia concentration arising from phytoplankton degradation. Microbes belonging to the SAR11, SAR86, and SAR116 clades, Flavobacteriaceae, and MG IIa-L showed repeated interconnections in temperature-related modules, while the SAR202 clade, Marinimicrobia, DEV007 clade, and Arctic97B-4 and Sva0996 marine groups displayed repeated connections in nutrient-related modules. These 'skeleton'-forming microbes created species-engineered microenvironments, further fine-tuning microbial modular structures. Furthermore, they serve as keystone species for module stability by linking interdependent microbial partners within their own modules through universally beneficial met abolic activities. Therefore, they could reinforce the ecological resilience of microbial communities under abiotic and biotic perturbations in dynamic coastal waters. In conclusion, both macro-and micro-environmental filtering were important for determining the seasonal succession of microbial community structures.
(c) 2021 Elsevier B.V. All rights reserved.
C1 [Chun, Seong-Jun] Natl Inst Ecol, LMO Res Team, 1210 Geumgang Ro, Maseo Myeon 33657, Seocheon, South Korea.
[Chun, Seong-Jun; Cui, Yingshun; Ahn, Chi-Yong; Oh, Hee-Mock] Korea Res Inst Biosci & Biotechnol KRIBB, Cell Factory Res Ctr, 125 Gwahak Ro, Daejeon 34141, South Korea.
[Baek, Seung Ho] Korea Inst Ocean Sci & Technol, South Sea Inst, Geoje 53201, South Korea.
[Ahn, Chi-Yong; Oh, Hee-Mock] Korea Univ Sci & Technol UST, KRIBB Sch Biotechnol, Dept Environm Biotechnol, 217 Gajeong Ro, Daejeon 34113, South Korea.
RP Ahn, CY; Oh, HM (corresponding author), Korea Res Inst Biosci & Biotechnol KRIBB, Cell Factory Res Ctr, 125 Gwahak Ro, Daejeon 34141, South Korea.
EM cyahn@kribb.re.kr; heemock@kribb.re.kr
CR Abed RMM, 2010, INT BIODETER BIODEGR, V64, P58, DOI 10.1016/j.ibiod.2009.10.008
Agustí S, 2000, LIMNOL OCEANOGR, V45, P940, DOI 10.4319/lo.2000.45.4.0940
[Anonymous], 2018, "Vegan: Community Ecology Package."
[Anonymous], 2019, Package 'Hmisc', Version 4.3-0
Ansari MI, 2015, SCI REP-UK, V5, DOI 10.1038/srep09001
Assenov Y, 2008, BIOINFORMATICS, V24, P282, DOI 10.1093/bioinformatics/btm554
Ayres RU, 1998, ECOL ECON, V26, P189, DOI 10.1016/S0921-8009(97)00101-8
Baek SH, 2020, TOXINS, V12, DOI 10.3390/toxins12060390
Baek SH, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072781
Barberán A, 2012, ISME J, V6, P343, DOI 10.1038/ismej.2011.119
Becquevort S, 1998, AQUAT MICROB ECOL, V14, P39, DOI 10.3354/ame014039
Beman JM, 2011, ISME J, V5, P1077, DOI 10.1038/ismej.2010.204
Bergen B, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00621
Bickel SL, 2014, MAR BIOL, V161, P2233, DOI 10.1007/s00227-014-2501-z
BIDDANDA BA, 1988, MAR ECOL PROG SER, V42, P79, DOI 10.3354/meps042079
Blondel VD, 2008, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2008/10/P10008
Bradley IM, 2016, APPL ENVIRON MICROB, V82, P5878, DOI 10.1128/AEM.01630-16
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Brustolin MC, 2021, ECOGRAPHY, V44, P966, DOI 10.1111/ecog.05440
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Cardman Z, 2014, APPL ENVIRON MICROB, V80, P3749, DOI 10.1128/AEM.00899-14
Carr A, 2019, ISME J, V13, P2647, DOI 10.1038/s41396-019-0459-z
Chun SJ, 2020, WATER RES, V170, DOI 10.1016/j.watres.2019.115326
Chun SJ, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01637
COLLOS Y, 1989, MAR BIOL, V101, P457, DOI 10.1007/BF00541647
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Csardi G., 2006, Complex Syst, V1695, P1
Cui Y, 2020, SCI TOTAL ENVIRON, V721, DOI 10.1016/j.scitotenv.2020.137725
Cui Y, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45512-5
D'Ambrosio L, 2014, ISME J, V8, P2167, DOI 10.1038/ismej.2014.67
de Menezes AB, 2017, CURR OPIN MICROBIOL, V37, P135, DOI 10.1016/j.mib.2017.06.006
de Menezes AB, 2015, ENVIRON MICROBIOL, V17, P2677, DOI 10.1111/1462-2920.12559
Dell AI, 2011, P NATL ACAD SCI USA, V108, P10591, DOI 10.1073/pnas.1015178108
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eloe EA, 2011, ENV MICROBIOL REP, V3, P449, DOI 10.1111/j.1758-2229.2010.00223.x
EVA S, 2013, FEMS MICROBIOL ECOL, V83, P413
Faust K, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002606
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Ghosh S, 2016, APPL MICROBIOL BIOT, V100, P4283, DOI 10.1007/s00253-016-7448-1
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Guimerà R, 2005, NATURE, V433, P895, DOI 10.1038/nature03288
Haukka K, 2006, MICROB ECOL, V51, P137, DOI 10.1007/s00248-005-0049-7
Hawley AK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01376-9
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
HUQ A, 1984, APPL ENVIRON MICROB, V48, P420, DOI 10.1128/AEM.48.2.420-424.1984
JURGENS K, 1994, MICROBIAL ECOL, V27, P27, DOI 10.1007/BF00170112
Kneitel JM, 2004, ECOL LETT, V7, P69, DOI 10.1046/j.1461-0248.2003.00551.x
Kouzuma A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00477
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Kraft NJB, 2015, FUNCT ECOL, V29, P592, DOI 10.1111/1365-2435.12345
Laliberté E, 2014, SCIENCE, V345, P1602, DOI 10.1126/science.1256330
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lapoussière A, 2011, J MARINE SYST, V88, P434, DOI 10.1016/j.jmarsys.2010.12.003
Lebrija-Trejos E, 2010, ECOLOGY, V91, P386, DOI 10.1890/08-1449.1
Legendre P, 1999, ECOL MONOGR, V69, P1, DOI 10.1890/0012-9615(1999)069[0001:DBRATM]2.0.CO;2
Liao JQ, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw174
Lim H.K, 2006, AQUACULTURE RES TEAM
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Mann K.H., 2009, ECOLOGY COASTAL WATE
McIlroy Simon Jon, 2014, The Prokaryotes: Other Major Lineages of Bacteria and The Archaea, P863, DOI [10.1007/978-3-642-38954-2_138, DOI 10.1007/978-3-642-38954-2_138]
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
Morris BE, 2013, FEMS MICROBIOL REV, V37, P384, DOI 10.1111/1574-6976.12019
Morris JJ, 2015, TRENDS GENET, V31, P475, DOI 10.1016/j.tig.2015.05.004
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Ngugi DK, 2018, GENOME ANNOUNCEMENTS, V6, DOI 10.1128/genomeA.00565-18
OdlingSmee FJ, 1996, AM NAT, V147, P641, DOI 10.1086/285870
Olesen JM, 2007, P NATL ACAD SCI USA, V104, P19891, DOI 10.1073/pnas.0706375104
Orsi WD, 2016, ISME J, V10, P2158, DOI 10.1038/ismej.2016.20
Park T, 2011, CONT SHELF RES, V31, P15, DOI 10.1016/j.csr.2010.10.012
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rabalais NN, 2009, ICES J MAR SCI, V66, P1528, DOI 10.1093/icesjms/fsp047
Rinke C, 2019, ISME J, V13, P663, DOI 10.1038/s41396-018-0282-y
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Saw JHW, 2020, MBIO, V11, DOI 10.1128/mBio.02975-19
Schlesner H., 2006, PROKARYOTES, P881
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Seymour JR, 2005, MAR ECOL PROG SER, V300, P21, DOI 10.3354/meps300021
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Smith MW, 2013, FRONT MICROBIOL, V4, DOI [10.3389/fmicb.2013.00120, 10.3389/fpls.2013.00486]
Sournia A., 1978, MONOGRAPHS OCEANOGRA, V6
Suter EA, 2018, ENVIRON MICROBIOL, V20, P693, DOI 10.1111/1462-2920.13997
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thakur MP, 2017, TRENDS ECOL EVOL, V32, P884, DOI 10.1016/j.tree.2017.09.014
Turner S, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00874
Wang XG, 2018, GLOBAL ECOL BIOGEOGR, V27, P581, DOI 10.1111/geb.12719
Warshawsky D, 2007, CHEMOSPHERE, V69, P500, DOI 10.1016/j.chemosphere.2007.03.031
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Winder M, 2010, PHILOS T R SOC B, V365, P3215, DOI 10.1098/rstb.2010.0125
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
Yang, 2020, LIMNOL OCEANOGR, V9999, P1
Yung CM, 2016, APPL ENVIRON MICROB, V82, P3431, DOI 10.1128/AEM.00395-16
Zhou ZX, 2019, J GEOPHYS RES-OCEANS, V124, P5244, DOI 10.1029/2019JC015158
Zhu JR, 2005, CHINESE SCI BULL, V50, P240, DOI 10.1360/03wd0107
Zwart G, 1998, FEMS MICROBIOL ECOL, V25, P159, DOI 10.1016/S0168-6496(97)00092-5
NR 106
TC 23
Z9 23
PD AUG 25
PY 2021
VL 784
AR 147046
DI 10.1016/j.scitotenv.2021.147046
EA APR 2021
UT WOS:000657591600014
DA 2025-07-30
ER
PT J
AU Forth, M
Liljebladh, B
Stigebrandt, A
Hall, POJ
Treusch, AH
AF Forth, Michael
Liljebladh, Bengt
Stigebrandt, Anders
Hall, Per O. J.
Treusch, Alexander H.
TI Effects of ecological engineered oxygenation on the bacterial community
structure in an anoxic fjord in western Sweden
SO ISME JOURNAL
DT Article
AB Oxygen-depleted bodies of water are becoming increasingly common in marine ecosystems. Solutions to reverse this trend are needed and under development, for example, by the Baltic deep-water OXygenation (BOX) project. In the framework of this project, the Swedish Byfjord was chosen for a pilot study, investigating the effects of an engineered oxygenation on long-term anoxic bottom waters. The strong stratification of the water column of the Byfjord was broken up by pumping surface water into the deeper layers, triggering several inflows of oxygen-rich water and increasing oxygen levels in the lower water column and the benthic zone up to 110 mu mol l(-1). We used molecular ecologic methods to study changes in bacterial community structure in response to the oxygenation in the Byfjord. Water column samples from before, during and after the oxygenation as well as from two nearby control fjords were analyzed. Our results showed a strong shift in bacterial community composition when the bottom water in the Byfjord became oxic. Initially dominant indicator species for oxygen minimum zones such as members of the SUP05 clade declined in abundance during the oxygenation event and nearly vanished after the oxygenation was accomplished. In contrast, aerobic species like SAR11 that initially were restricted to surface waters could later be detected deep into the water column. Overall, the bacterial community in the formerly anoxic bottom waters changed to a community structure similar to those found in oxic waters, showing that an engineered oxygenation of a large body of anoxic marine water is possible and emulates that of a natural oxygenation event.
C1 [Forth, Michael; Treusch, Alexander H.] Univ Southern Denmark, Nord Ctr Earth Evolut, Dept Biol, DK-5230 Odense M, Denmark.
[Liljebladh, Bengt; Stigebrandt, Anders] Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden.
[Hall, Per O. J.] Univ Gothenburg, Dept Chem & Mol Biol, Gothenburg, Sweden.
RP Treusch, AH (corresponding author), Univ Southern Denmark, Dept Biol, Campusvej 55, DK-5230 Odense M, Denmark.
EM atreusch@biology.sdu.dk
CR Anantharaman K, 2013, P NATL ACAD SCI USA, V110, P330, DOI 10.1073/pnas.1215340110
Anderson JJ, 1973, ESTUAR COAST MAR SCI, V1, P10, DOI DOI 10.1016/0302-3524(73)90052-2
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
[Anonymous], J GEOPHYS RES BIOGEO, DOI DOI 10.1029/2006JG000304.[LINK]
Bertagnolli AD, 2011, AQUAT MICROB ECOL, V64, P15, DOI 10.3354/ame01504
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Chan F, 2008, SCIENCE, V319, P920, DOI 10.1126/science.1149016
CLARKE KR, 1993, MAR ECOL PROG SER, V92, P205, DOI 10.3354/meps092205
Clarke KR., 2006, PRIMER VERSION 7 USE
Codispoti LA, 2001, SCI MAR, V65, P85, DOI 10.3989/scimar.2001.65s285
Conley DJ, 2011, ENVIRON SCI TECHNOL, V45, P6777, DOI 10.1021/es201212r
Conley DJ, 2009, ENVIRON SCI TECHNOL, V43, P3407, DOI 10.1021/es8027633
Culman SW, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-171
Dalsgaard T, 2013, GEOCHIM COSMOCHIM AC, V106, P247, DOI 10.1016/j.gca.2012.12.038
Diaz RJ, 2008, SCIENCE, V321, P926, DOI 10.1126/science.1156401
Finster K, 1998, APPL ENVIRON MICROB, V64, P119
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Glaubitz S, 2013, APPL ENVIRON MICROB, V79, P2767, DOI 10.1128/AEM.03777-12
GRASSHOF K, 1999, METHODS SEAWATER ANA
Grote J, 2012, P NATL ACAD SCI USA, V109, P506, DOI 10.1073/pnas.1111262109
Grote J, 2008, APPL ENVIRON MICROB, V74, P7546, DOI 10.1128/AEM.01186-08
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Inagaki F, 2003, INT J SYST EVOL MICR, V53, P1801, DOI 10.1099/ijs.0.02682-0
Jayakumar A, 2009, MICROB ECOL, V58, P350, DOI 10.1007/s00248-009-9487-y
JORGENSEN BB, 1982, PHILOS T R SOC B, V298, P543, DOI 10.1098/rstb.1982.0096
Kaplan CW, 2003, J MICROBIOL METH, V54, P121, DOI 10.1016/S0167-7012(03)00003-4
Koskinen K, 2011, FEMS MICROBIOL ECOL, V75, P99, DOI 10.1111/j.1574-6941.2010.00987.x
Kuypers MMM, 2005, P NATL ACAD SCI USA, V102, P6478, DOI 10.1073/pnas.0502088102
Labrenz M, 2005, APPL ENVIRON MICROB, V71, P6664, DOI 10.1128/AEM.71.11.6664-6672.2005
Labrenz M, 2013, INT J SYST EVOL MICR, V63, P4141, DOI 10.1099/ijs.0.048827-0
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Liu WT, 1997, APPL ENVIRON MICROB, V63, P4516, DOI 10.1128/AEM.63.11.4516-4522.1997
Liungman O, 2001, J PHYS OCEANOGR, V31, P3401, DOI 10.1175/1520-0485(2001)031<3401:MAOODW>2.0.CO;2
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Matear RJ, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001997
Morales CE, 1999, J MAR RES, V57, P909, DOI 10.1357/002224099321514097
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morrison JM, 1999, DEEP-SEA RES PT II, V46, P1903, DOI 10.1016/S0967-0645(99)00048-X
Murillo AA, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00018
Musat N, 2008, P NATL ACAD SCI USA, V105, P17861, DOI 10.1073/pnas.0809329105
Naqvi SWA, 2000, NATURE, V408, P346, DOI 10.1038/35042551
Nocker A, 2007, MICROB ECOL, V54, P276, DOI 10.1007/s00248-006-9199-5
Pilloni G, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040467
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Ricke P, 2005, APPL ENVIRON MICROB, V71, P1671, DOI 10.1128/AEM.71.3.1671-1673.2005
Riemann L, 2008, APPL ENVIRON MICROB, V74, P503, DOI 10.1128/AEM.01983-07
Scranton MI, 2001, DEEP-SEA RES PT I, V48, P1605, DOI 10.1016/S0967-0637(00)00087-X
Sievert SM, 2007, ENVIRON MICROBIOL, V9, P271, DOI 10.1111/j.1462-2920.2006.01156.x
Sjöstedt J, 2012, APPL ENVIRON MICROB, V78, P1361, DOI 10.1128/AEM.05542-11
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stigebrandt A, 2011, MACROENGINEERING SEA
Stigebrandt A, 2014, EXPT FORCED OXYGENAT
Stigebrandt A, 2007, AMBIO, V36, P280, DOI 10.1579/0044-7447(2007)36[280:IOBPWQ]2.0.CO;2
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Ward BB, 2009, NATURE, V461, P78, DOI 10.1038/nature08276
Ward BB, 2008, DEEP-SEA RES PT I, V55, P1672, DOI 10.1016/j.dsr.2008.07.005
Wirsen CO, 2002, APPL ENVIRON MICROB, V68, P316, DOI 10.1128/AEM.68.1.316-325.2002
Woebken D, 2008, ENVIRON MICROBIOL, V10, P3106, DOI 10.1111/j.1462-2920.2008.01640.x
Woebken D, 2007, ISME J, V1, P419, DOI 10.1038/ismej.2007.63
Worthen PL, 2006, APPL ENVIRON MICROB, V72, P4775, DOI 10.1128/AEM.00356-06
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Zaikova E, 2010, ENVIRON MICROBIOL, V12, P172, DOI 10.1111/j.1462-2920.2009.02058.x
Zillén L, 2008, EARTH-SCI REV, V91, P77, DOI 10.1016/j.earscirev.2008.10.001
NR 69
TC 18
Z9 21
PD MAR
PY 2015
VL 9
IS 3
BP 656
EP 669
DI 10.1038/ismej.2014.172
UT WOS:000349850600011
DA 2025-07-30
ER
PT J
AU Lanfranconi, MP
Bosch, R
Nogales, B
AF Lanfranconi, Mariana P.
Bosch, Rafael
Nogales, Balbina
TI Short-term changes in the composition of active marine bacterial
assemblages in response to diesel oil pollution
SO MICROBIAL BIOTECHNOLOGY
DT Article
AB The changes caused by diesel oil pollution in the metabolically active bacterioplankton from an oligotrophic coastal location were analysed in laboratory microcosms (44 l) using 16S ribosomal RNA (16S rRNA) as molecular marker. The aim was to simulate typical hydrocarbon pollution events in a coastal area exploited for seasonal touristic activities. The experiment consisted in addition of low amounts of diesel oil without nutrients to seawater collected at different times (winter and summer). Bacterial diversity was analysed by terminal-restriction fragment length polymorphism (T-RFLP) profiling of 16S rRNAs after reverse transcription polymerase chain reaction (RTPCR), and by generation of 16S rRNA clone libraries in control and diesel-polluted microcosms. Diesel addition caused a twofold increase in prokaryotic numbers in comparison with controls at the end of the experiment, both in winter and summer microcosms. Bacterioplankton composition, determined by 16S rRNA T-RFLP data, changed rapidly (within 17 h) in response to treatment. The resulting communities were different in microcosms with water collected in summer and winter. A reduction in diversity (Shannon index, calculated on the basis of T-RFLP data) was observed only in summer microcosms. This was due to the rapid increase of phylotypes affiliated to the Oceanospirillaceae, not observed in winter microcosms. After diesel treatment there was a reduction in the number of phylotypes related to SAR11, SAR86 and picocyanobacteria, while phylotypes of the Roseobacter clade, and the OMG group seemed to be favoured. Our results show that diesel pollution alone caused profound effects on the bacterioplankton of oligotrophic seawater, and explained many of the differences in diversity reported previously in pristine and polluted sites in this coastal area.
C1 [Lanfranconi, Mariana P.; Bosch, Rafael; Nogales, Balbina] Univ Illes Balears, Dept Biol, Palma De Mallorca 07122, Spain.
RP Nogales, B (corresponding author), Univ Illes Balears, Dept Biol, Palma De Mallorca 07122, Spain.
EM bnogales@uib.es
CR Aguiló-Ferretjans MM, 2008, SYST APPL MICROBIOL, V31, P231, DOI 10.1016/j.syapm.2008.04.003
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], MOL MICROBIAL ECOLOG
[Anonymous], 1969, Mammalian Protein Metabolism, DOI DOI 10.1016/B978-1-4832-3211-9.50009-7
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Ashelford KE, 2006, APPL ENVIRON MICROB, V72, P5734, DOI 10.1128/AEM.00556-06
Brakstad OG, 2005, MICROB ECOL, V49, P94, DOI 10.1007/s00248-003-0225-6
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A., 2010, HDB HYDROCARBON LIPI, V14, P1335, DOI [10.1007/978-3-540-77587-493, DOI 10.1007/978-3-540-77587-493]
Cappello S, 2007, J APPL MICROBIOL, V102, P184, DOI 10.1111/j.1365-2672.2006.03071.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
*COMM OIL SEA INP, 2003, OIL SEA, V3
Coulon F, 2007, ENVIRON MICROBIOL, V9, P177, DOI 10.1111/j.1462-2920.2006.01126.x
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Denaro R, 2005, ENVIRON MICROBIOL, V7, P78, DOI 10.1111/j.1462-2920.2004.00685.x
DYKSTERHOUSE SE, 1995, INT J SYST BACTERIOL, V45, P116, DOI 10.1099/00207713-45-1-116
Fahy A, 2005, ENVIRON MICROBIOL, V7, P1192, DOI 10.1111/j.1462-2920.2005.00799.x
Ferraro G, 2009, INT J REMOTE SENS, V30, P627, DOI 10.1080/01431160802339464
Fuse H, 2003, BIOSCI BIOTECH BIOCH, V67, P1121, DOI 10.1271/bbb.67.1121
Garrity G.M., 2005, BERGEY FS MANUAL SYS, P271
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Glockner FO, 1996, SYST APPL MICROBIOL, V19, P403
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Harwati TU, 2007, MICROBES ENVIRON, V22, P412, DOI 10.1264/jsme2.22.412
Head IM, 2006, NAT REV MICROBIOL, V4, P173, DOI 10.1038/nrmicro1348
Kan JJ, 2006, AQUAT MICROB ECOL, V42, P7, DOI 10.3354/ame042007
Kasai Y, 2002, ENVIRON MICROBIOL, V4, P141, DOI 10.1046/j.1462-2920.2002.00275.x
Lami R, 2009, AQUAT MICROB ECOL, V54, P199, DOI 10.3354/ame01264
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
LEE SH, 1991, MAR ECOL PROG SER, V79, P195, DOI 10.3354/meps079195
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Ma Y, 2009, PROG NAT SCI-MATER, V19, P947, DOI 10.1016/j.pnsc.2008.09.007
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
McKew BA, 2007, ENVIRON MICROBIOL, V9, P165, DOI 10.1111/j.1462-2920.2006.01125.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nogales B, 2002, APPL ENVIRON MICROB, V68, P5017, DOI 10.1128/AEM.68.10.5017-5025.2002
Nogales B, 2007, ENVIRON MICROBIOL, V9, P1913, DOI 10.1111/j.1462-2920.2007.01308.x
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Sala MM, 2002, AQUAT MICROB ECOL, V27, P47, DOI 10.3354/ame027047
Schäfer H, 2000, ARCH MICROBIOL, V173, P138, DOI 10.1007/s002039900121
Schauer M, 2000, FEMS MICROBIOL ECOL, V33, P51, DOI 10.1016/S0168-6496(00)00043-X
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7337
Singleton DR, 2001, APPL ENVIRON MICROB, V67, P4374, DOI 10.1128/AEM.67.9.4374-4376.2001
Smith CJ, 2005, FEMS MICROBIOL ECOL, V54, P375, DOI 10.1016/j.femsec.2005.05.002
Teira E, 2007, ENVIRON MICROBIOL, V9, P2551, DOI 10.1111/j.1462-2920.2007.01373.x
Yakimov MM, 2007, CURR OPIN BIOTECH, V18, P257, DOI 10.1016/j.copbio.2007.04.006
Yakimov MM, 2005, ENVIRON MICROBIOL, V7, P1426, DOI 10.1111/j.1462-5822.2005.00829.x
Zhang R, 2007, FEMS MICROBIOL ECOL, V61, P496, DOI 10.1111/j.1574-6941.2007.00353.x
NR 52
TC 21
Z9 23
PD SEP
PY 2010
VL 3
IS 5
SI SI
BP 607
EP 621
DI 10.1111/j.1751-7915.2010.00192.x
UT WOS:000289739300013
DA 2025-07-30
ER
PT J
AU Zubkov, MV
Mary, I
Woodward, EMS
Warwick, PE
Fuchs, BM
Scanlan, DJ
Burkill, PH
AF Zubkov, Mikhail V.
Mary, Isabelle
Woodward, E. Malcolm S.
Warwick, Phillip E.
Fuchs, Bernhard M.
Scanlan, David J.
Burkill, Peter H.
TI Microbial control of phosphate in the nutrient-depleted North Atlantic
subtropical gyre
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Little is known about the dynamics of dissolved phosphate in oligotrophic areas of the world's oceans, where concentrations are typically in the nanomolar range. Here, we have budgeted phosphate uptake by the dominant microbial groups in order to assess the effect of the microbial control of this depleted nutrient in the North Atlantic gyre. Low concentrations (2.2 +/- 1.2 nM) and rapid microbial uptake (2.1 +/- 2.4 nM day(-1)) of bioavailable phosphate were repeatedly determined in surface waters of the North Atlantic oligotrophic gyre during spring and autumn research cruises, using a radiotracer dilution bioassay technique. Upper estimates of the concentration of bioavailable phosphate were 7-55% of the dissolved mineral phosphate suggesting that a considerable part of the chemically measured nanomolar phosphate was in a form unavailable for direct microbial uptake. A 1:1 relationship (r(2) = 0.96, P < 0.0001) was observed between the bioavailable total phosphate uptake and the phosphate uptake of all the flow sorted bacterioplankton cells, demonstrating that bacterioplankton were the main consumers of phosphate. Within the bacterioplankton a group of heterotrophic bacteria and Prochlorococcus phototrophic cyanobacteria, were the two major competing groups for bioavailable phosphate. These heterotrophic bacteria had low nucleic acid content and 60% of them comprised of SAR11 clade cells based on the results of fluorescence in situ hybridization. Each of the two competing bacterial groups was responsible for an average of 45% of the phosphate uptake, while Synechococcus cyanobacteria (7%) and picoplanktonic algae (0.3%) played minor roles in direct phosphate uptake. We have demonstrated that phosphate uptake in the oligotrophic gyre is rapid and dominated by two bacterial groups rather than by algae.
C1 Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
Max Planck Inst Marine Microbiol, D-28359 Bremen, Germany.
Univ Warwick, Dept Biol Sci, Coventry CV4 7AL, W Midlands, England.
Sir Alister Hardy Fdn Ocean Sci, Plymouth PL1 2PB, Devon, England.
Univ Plymouth, Marine Inst, Plymouth PL4 8AA, Devon, England.
RP Zubkov, MV (corresponding author), Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
EM mvz@noc.soton.ac.uk
CR AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
Ammerman J.W., 2003, EOS T AM GEOPHYS UN, V84, P165, DOI [10.1029/2003-o180001, DOI 10.1029/2003-O180001, DOI 10.1029/2003EO180001]
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Bertilsson S, 2003, LIMNOL OCEANOGR, V48, P1721, DOI 10.4319/lo.2003.48.5.1721
Biegala IC, 2003, APPL ENVIRON MICROB, V69, P5519, DOI 10.1128/AEM.69.9.5519-5529.2003
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
FERGUSON RL, 1984, LIMNOL OCEANOGR, V29, P258, DOI 10.4319/lo.1984.29.2.0258
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GRILLO JF, 1979, J BACTERIOL, V140, P508, DOI 10.1128/JB.140.2.508-517.1979
Gundersen K, 2002, LIMNOL OCEANOGR, V47, P1525, DOI 10.4319/lo.2002.47.5.1525
Heldal M, 2003, LIMNOL OCEANOGR, V48, P1732, DOI 10.4319/lo.2003.48.5.1732
Ho TY, 2003, J PHYCOL, V39, P1145, DOI 10.1111/j.0022-3646.2003.03-090.x
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karl D, 1997, NATURE, V388, P533, DOI 10.1038/41474
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kiene RP, 1999, AQUAT MICROB ECOL, V17, P311, DOI 10.3354/ame017311
LI WKW, 1994, LIMNOL OCEANOGR, V39, P169, DOI 10.4319/lo.1994.39.1.0169
LIPSCHULTZ F, 1995, MAR ECOL PROG SER, V123, P245, DOI 10.3354/meps123245
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mills MM, 2004, NATURE, V429, P292, DOI 10.1038/nature02550
Moore LR, 2005, AQUAT MICROB ECOL, V39, P257, DOI 10.3354/ame039257
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Moutin T, 2002, LIMNOL OCEANOGR, V47, P1562, DOI 10.4319/lo.2002.47.5.1562
OLSON R.J., 1993, HDB METHODS AQUATIC, P175
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler A, 2004, APPL ENVIRON MICROB, V70, P5426, DOI 10.1128/AEM.70.9.5426-5433.2004
Sañudo-Wilhelmy SA, 2001, NATURE, V411, P66, DOI 10.1038/35075041
Schönhuber W, 1999, APPL ENVIRON MICROB, V65, P1259
Thingstad TF, 2005, SCIENCE, V309, P1068, DOI 10.1126/science.1112632
Van Mooy BAS, 2006, P NATL ACAD SCI USA, V103, P8607, DOI 10.1073/pnas.0600540103
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
Woodward E.M.S., 2002, EOS T AM GEOPHYSIC S, P83
WOODWARD EMS, 1994, NUTR ANAL TECHNIQUES
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Zubkov MV, 2006, CYTOM PART A, V69A, P1010, DOI 10.1002/cyto.a.20332
Zubkov M, 2007, J PLANKTON RES, V29, P79
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
Zubkov MV, 2005, AQUAT MICROB ECOL, V40, P241, DOI 10.3354/ame040241
Zubkov MV, 2000, PROG OCEANOGR, V45, P369, DOI 10.1016/S0079-6611(00)00008-2
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 44
TC 99
Z9 110
PD AUG
PY 2007
VL 9
IS 8
BP 2079
EP 2089
DI 10.1111/j.1462-2920.2007.01324.x
UT WOS:000248451600017
DA 2025-07-30
ER
PT J
AU Li, HF
Chen, JW
Yu, LY
Fan, GY
Li, TC
Li, L
Yuan, HT
Wang, JT
Wang, C
Li, DH
Lin, SJ
AF Li, Hongfei
Chen, Jianwei
Yu, Liying
Fan, Guangyi
Li, Tangcheng
Li, Ling
Yuan, Huatao
Wang, Jingtian
Wang, Cong
Li, Denghui
Lin, Senjie
TI In situ community transcriptomics illuminates
CO2-fixation potentials and supporting roles of phagotrophy
and proton pump in plankton in a subtropical marginal sea
SO MICROBIOLOGY SPECTRUM
DT Article
AB Lineage-wise physiological activities of plankton communities in the ocean are important but challenging to characterize. Here, we conducted whole-assemblage metatranscriptomic profiling at continental shelf and slope sites in the South China Sea to investigate carbon fixation potential in different lineages. RuBisCO expression, the proxy of Calvin carbon fixation (CCF) potential, was mainly contributed by Bacillariophyta, Chlorophyta, Cyanobacteria, and Haptophyta, which was differentially affected by environmental factors among lineages. CCF potential exhibited positive or negative correlations with phagotrophy gene expression, suggesting phagotrophy possibly enhances or complements CCF. Our data also reveal significant non-Calvin carbon fixation (NCF) potential, as indicated by the active expression of genes in all five currently recognized NCF pathways, mainly contributed by Flavobacteriales, Alteromonadales, and Oceanospirillales. Furthermore, in Flavobacteriales, Alteromonadales, Pelagibacterales, and Rhodobacterales, NCF potential was positively correlated with proton-pump rhodopsin (PPR) expression, suggesting that NCF might be energetically supported by PPR. The novel insights into the lineage-differential potential of carbon fixation, widespread mixotrophy, and PPR as an energy source for NCF lay a methodological and informational foundation for further research to understand carbon fixation and the trophic landscape in the ocean. IMPORTANCE Marine plankton plays an important role in global carbon cycling and climate regulation. Phytoplankton and cyanobacteria fix CO2 to produce organic compounds using solar energy and mainly by the Calvin cycle, whereas autotrophic bacteria and archaea may fix CO2 by non-Calvin cycle carbon fixation pathways. How active individual lineages are in carbon fixation and mixotrophy, and what energy source bacteria may employ in non-Calvin carbon fixation, in a natural plankton assemblage are poorly understood and underexplored. Using metatranscriptomics, we studied carbon fixation in marine plankton with lineage resolution in tropical marginal shelf and slope areas. Based on the sequencing results, we characterized the carbon fixation potential of different lineages and assessed Calvin- and non-Calvin- carbon fixation activities and energy sources. Data revealed a high number of unigenes (4.4 million), lineage-dependent differential potentials of Calvin carbon fixation and responses to environmental conditions, major contributors of non-Calvin carbon fixation, and their potential energy source.
C1 [Li, Hongfei; Yu, Liying; Li, Tangcheng; Li, Ling; Yuan, Huatao; Wang, Jingtian; Wang, Cong; Lin, Senjie] Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen, Fujian, Peoples R China.
[Li, Hongfei] Zhejiang Ocean Univ, Natl Engn Res Ctr Marine Aquaculture, Zhoushan, Zhejiang, Peoples R China.
[Li, Hongfei; Lin, Senjie] Univ Connecticut, Dept Marine Sci, Groton, CT 06340 USA.
[Chen, Jianwei; Fan, Guangyi; Li, Denghui] BGI Res, Qingdao Key Lab Marine Genom, Qingdao, Shandong, Peoples R China.
[Fan, Guangyi] BGI Res, State Key Lab Agr Genom, Shenzhen, Guangdong, Peoples R China.
[Li, Denghui] Qingdao Innovat Ctr Seaweed Biotechnol, Qingdao, Shandong, Peoples R China.
RP Lin, SJ (corresponding author), Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen, Fujian, Peoples R China.; Lin, SJ (corresponding author), Univ Connecticut, Dept Marine Sci, Groton, CT 06340 USA.
EM senjie.lin@uconn.edu
CR Alexander H, 2015, P NATL ACAD SCI USA, V112, pE2182, DOI 10.1073/pnas.1421993112
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Annenkov VV, 2020, J PHYCOL, V56, P1729, DOI 10.1111/jpy.13062
Baltar F, 2019, BIOGEOSCIENCES, V16, P3793, DOI 10.5194/bg-16-3793-2019
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Berg IA, 2010, NAT REV MICROBIOL, V8, P447, DOI 10.1038/nrmicro2365
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bharathi MD, 2018, MAR POLLUT BULL, V129, P14, DOI 10.1016/j.marpolbul.2018.02.007
Burkholder JM, 2008, HARMFUL ALGAE, V8, P77, DOI 10.1016/j.hal.2008.08.010
Cai WJ, 2004, CONT SHELF RES, V24, P1301, DOI 10.1016/j.csr.2004.04.005
Carradec Q, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02342-1
Chan YF, 2019, MICROB ECOL, V77, P607, DOI 10.1007/s00248-018-1249-2
Chen YX, 2017, GIGASCIENCE, V7, DOI 10.1093/gigascience/gix120
Choi AR, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0110643
Choi DH, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiv170
Cohen NR, 2021, NAT MICROBIOL, V6, P173, DOI 10.1038/s41564-020-00814-7
Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610
Cooper ED, 2014, HARMFUL ALGAE, V37, P75, DOI 10.1016/j.hal.2014.04.016
Dai MH, 2013, GEOPHYS RES LETT, V40, P2154, DOI 10.1002/grl.50390
Dyhrman ST, 2006, NATURE, V439, P68, DOI 10.1038/nature04203
Ernst OP, 2014, CHEM REV, V114, P126, DOI 10.1021/cr4003769
Evans E, 1972, Midwives Chron, V86, P118
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Govorunova EG, 2017, ANNU REV BIOCHEM, V86, P845, DOI 10.1146/annurev-biochem-101910-144233
Haas BJ, 2013, NAT PROTOC, V8, P1494, DOI 10.1038/nprot.2013.084
Harun I., 2014, INT J CHEM ENG APPL, V5, P112, DOI [DOI 10.7763/IJCEA.2014.V5.362, 10.7763/IJCEA.2014.V5.362]
Huang BQ, 2010, DEEP-SEA RES PT II, V57, P1792, DOI 10.1016/j.dsr2.2010.04.005
Huang JM, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00523-19
Jacob-Lopes E, 2009, CHEM ENG PROCESS, V48, P306, DOI 10.1016/j.cep.2008.04.007
Jeong HJ, 2005, AQUAT MICROB ECOL, V40, P133, DOI 10.3354/ame040133
Ji NJ, 2018, ENVIRON MICROBIOL, V20, P1078, DOI 10.1111/1462-2920.14045
Jiwarungrueangkul T, 2019, GLOBAL PLANET CHANGE, V174, P127, DOI 10.1016/j.gloplacha.2019.01.011
John DE, 2007, ISME J, V1, P517, DOI 10.1038/ismej.2007.70
Kazamia E, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar4536
Kolody BC, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.00729-22
Kolody BC, 2019, ISME J, V13, P2817, DOI 10.1038/s41396-019-0472-2
Kristiansen S., 2002, SUSTAINABLE INCREASE, P25
Kumar M, 2018, BIORESOURCE TECHNOL, V247, P1059, DOI 10.1016/j.biortech.2017.09.050
Ladd C, 2005, DEEP-SEA RES PT II, V52, P667, DOI 10.1016/j.dsr2.2004.12.022
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lee ZP, 2005, J GEOPHYS RES-OCEANS, V110, DOI 10.1029/2004JC002780
Letscher RT, 2015, GLOBAL BIOGEOCHEM CY, V29, P325, DOI 10.1002/2014GB004904
Li HF, 2021, SCI TOTAL ENVIRON, V763, DOI 10.1016/j.scitotenv.2020.143013
Li TC, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135767
Lin SJ, 2010, P NATL ACAD SCI USA, V107, P20033, DOI 10.1073/pnas.1007246107
Marchetti A, 2012, P NATL ACAD SCI USA, V109, pE317, DOI 10.1073/pnas.1118408109
Mosharov S A, 2014, Dokl Biol Sci, V454, P26, DOI 10.1134/S0012496614010037
Mukherjee S, 1997, PHYSIOL REV, V77, P759, DOI 10.1152/physrev.1997.77.3.759
Nurfadillah N., 2019, RELATIONSHIP PRIMARY
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Pertea G, 2003, BIOINFORMATICS, V19, P651, DOI 10.1093/bioinformatics/btg034
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Quevillon E, 2005, NUCLEIC ACIDS RES, V33, pW116, DOI 10.1093/nar/gki442
Reynolds C. S., 2006, The Ecology of Phytoplankton, DOI DOI 10.1017/CBO9780511542145
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Shi XG, 2017, ISME J, V11, P2209, DOI 10.1038/ismej.2017.81
Stoecker DK, 2017, ANNU REV MAR SCI, V9, P311, DOI 10.1146/annurev-marine-010816-060617
Stoecker DK, 1998, EUR J PROTISTOL, V34, P281, DOI 10.1016/S0932-4739(98)80055-2
Strzepek RF, 2004, NATURE, V431, P689, DOI 10.1038/nature02954
Sudhir P, 2004, PHOTOSYNTHETICA, V42, P481, DOI 10.1007/S11099-005-0001-6
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suzuki S, 2017, J OCEANOGR, V73, P383, DOI 10.1007/s10872-016-0410-0
Thamatrakoln K, 2009, BIOESSAYS, V31, P322, DOI 10.1002/bies.200800185
Tian C, 2012, J ENVIRON SCI-CHINA, V24, P1394, DOI 10.1016/S1001-0742(11)60964-9
Tilman D, 2014, ANNU REV ECOL EVOL S, V45, P471, DOI 10.1146/annurev-ecolsys-120213-091917
Tsuchiya K, 2017, ESTUAR COAST SHELF S, V194, P30, DOI 10.1016/j.ecss.2017.05.019
Wang ZH, 2009, J ENVIRON SCI-CHINA, V21, P1268, DOI 10.1016/S1001-0742(08)62414-6
Wang ZP, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109571
Watanabe Y, 2014, PHYCOL RES, V62, P187, DOI 10.1111/pre.12053
Wickham H., 2006, IMPLEMENTATION GRAMM, P182
WILEMAN T, 1985, BIOCHEM J, V232, P1
Wohlrab S, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00358
Wu Q, 2015, DEEP-SEA RES PT II, V122, P25, DOI 10.1016/j.dsr2.2015.11.005
Yin KD, 2011, PHYS CHEM EARTH, V36, P411, DOI 10.1016/j.pce.2010.04.014
You YC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-31802-6
Yu LY, 2023, MICROBIOL SPECTR, V11, DOI 10.1128/spectrum.05157-22
Zehr JP, 2009, SCIENCE, V326, P945, DOI 10.1126/science.1181277
Zhang JJ, 2019, J GEOPHYS RES-OCEANS, V124, P99, DOI 10.1029/2018JC014704
Zhang SF, 2019, SCI TOTAL ENVIRON, V692, P1037, DOI 10.1016/j.scitotenv.2019.07.291
Zhang YQ, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00590
Zhou L, 2015, BIOGEOSCIENCES, V12, P6809, DOI 10.5194/bg-12-6809-2015
Zhuang YY, 2015, HARMFUL ALGAE, V42, P60, DOI 10.1016/j.hal.2014.12.006
NR 82
TC 2
Z9 2
PD MAR 5
PY 2024
VL 12
IS 3
DI 10.1128/spectrum.02177-23
EA FEB 2024
UT WOS:001158281100004
DA 2025-07-30
ER
PT J
AU Gilbert, JA
Field, D
Swift, P
Newbold, L
Oliver, A
Smyth, T
Somerfield, PJ
Huse, S
Joint, I
AF Gilbert, Jack A.
Field, Dawn
Swift, Paul
Newbold, Lindsay
Oliver, Anna
Smyth, Tim
Somerfield, Paul J.
Huse, Sue
Joint, Ian
TI The seasonal structure of microbial communities in the Western English
Channel
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB P>Very few marine microbial communities are well characterized even with the weight of research effort presently devoted to it. Only a small proportion of this effort has been aimed at investigating temporal community structure. Here we present the first report of the application of high-throughput pyrosequencing to investigate intra-annual bacterial community structure. Microbial diversity was determined for 12 time points at the surface of the L4 sampling site in the Western English Channel. This was performed over 11 months during 2007. A total of 182 560 sequences from the V6 hyper-variable region of the small-subunit ribosomal RNA gene (16S rRNA) were obtained; there were between 11 327 and 17 339 reads per sample. Approximately 7000 genera were identified, with one in every 25 reads being attributed to a new genus; yet this level of sampling far from exhausted the total diversity present at any one time point. The total data set contained 17 673 unique sequences. Only 93 (0.5%) were found at all time points, yet these few lineages comprised 50% of the total reads sequenced. The most abundant phylum was Proteobacteria (50% of all sequenced reads), while the SAR11 clade comprised 21% of the ubiquitous reads and similar to 12% of the total sequenced reads. In contrast, 78% of all operational taxonomic units were only found at one time point and 67% were only found once, evidence of a large and transient rare assemblage. This time series shows evidence of seasonally structured community diversity. There is also evidence for seasonal succession, primarily reflecting changes among dominant taxa. These changes in structure were significantly correlated to a combination of temperature, phosphate and silicate concentrations.
C1 [Gilbert, Jack A.; Smyth, Tim; Somerfield, Paul J.; Joint, Ian] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
[Field, Dawn; Swift, Paul; Newbold, Lindsay; Oliver, Anna] CEH Oxford, NERC, Ctr Ecol & Hydrol, Oxford OX1 3SR, England.
[Huse, Sue] Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA 02543 USA.
RP Gilbert, JA (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
EM jagi@pml.ac.uk
CR AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Atkins W.R.G., 1923, J MAR BIOL ASSOC UK, V13, P119
Clarke KR, 2006, MAR ECOL PROG SER, V320, P11, DOI 10.3354/meps320011
Clarke KR, 2008, J EXP MAR BIOL ECOL, V366, P56, DOI 10.1016/j.jembe.2008.07.009
CLARKE KR, 1993, MAR ECOL PROG SER, V92, P205, DOI 10.3354/meps092205
Clarke KR., 2006, PRIMER VERSION 7 USE
Delong EF., 1992, Proc Natl Acad Sci USA, V89, P56855689
Dethlefsen L, 2008, PLOS BIOL, V6, P2383, DOI 10.1371/journal.pbio.0060280
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Huber JA, 2002, APPL ENVIRON MICROB, V68, P1585, DOI 10.1128/AEM.68.4.1585-1594.2002
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Huse SM, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-7-r143
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Kim BS, 2008, J MICROBIOL, V46, P357, DOI 10.1007/s12275-008-0071-9
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Repka S, 2004, APPL ENVIRON MICROB, V70, P4551, DOI 10.1128/AEM.70.8.4551-4560.2004
Roesch LF, 2007, ISME J, V1, P283, DOI 10.1038/ismej.2007.53
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Southward AJ, 2005, ADV MAR BIOL, V47, P1
Suzuki M, 1998, APPL ENVIRON MICROB, V64, P4522
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
NR 27
TC 322
Z9 378
PD DEC
PY 2009
VL 11
IS 12
BP 3132
EP 3139
DI 10.1111/j.1462-2920.2009.02017.x
UT WOS:000273182500017
DA 2025-07-30
ER
PT J
AU Campoverde, NCG
Hassenrück, C
Buttigieg, PL
Gärdes, A
AF Campoverde, Nataly Carolina Guevara
Hassenrueck, Christiane
Buttigieg, Pier Luigi
Gaerdes, Astrid
TI Characterization of bacterioplankton communities and quantification of
organic carbon pools off the Galapagos Archipelago under contrasting
environmental conditions
SO PEERJ
DT Article
AB Bacteria play a crucial role in the marine carbon cycle, contributing to the production and degradation of organic carbon. Here, we investigated organic carbon pools, aggregate formation, and bacterioplankton communities in three contrasting oceanographic settings in the Galapagos Archipelago. We studied a submarine CO2 vent at Roca Redonda (RoR), an upwelling site at Bolivar Channel (BoC) subjected to a weak El Nino event at the time of sampling in October 2014, as well as a site without volcanic or upwelling influence at Cowley Islet (CoI). We recorded physico-chemical parameters, and quantified particulate and dissolved organic carbon, transparent exopolymeric particles, and the potential of the water to form larger marine aggregates. Free-living and particle-attached bacterial communities were assessed via 16S rRNA gene sequencing. Both RoR and BoC exhibited temperatures elevated by 1-1.5 degrees C compared to CoI. RoR further experienced reduced pH between 6.8 and 7.4. We observed pronounced differences in organic carbon pools at each of the three sites, with highest dissolved organic carbon concentrations at BoC and RoR, and highest particulate organic carbon concentrations and aggregate formation at BoC. Bacterioplankton communities at BoC were dominated by opportunistic copiotrophic taxa, such as Alteromonas and Roseobacter, known to thrive in phytoplankton blooms, as opposed to oligotrophic taxa dominating at CoI, such as members of the SAR11 clade. Therefore, we propose that bacterial communities were mainly influenced by the availability of organic carbon at the investigated sites. Our study provides a comprehensive characterization of organic carbon pools and bacterioplankton communities, highlighting the high heterogeneity of various components of the marine carbon cycle around the Galapagos Archipelago.
C1 [Campoverde, Nataly Carolina Guevara] Univ San Francisco Quito, Galapagos Sci Ctr, Colegio Ciencias Biol & Ambientales, Quito, Ecuador.
[Campoverde, Nataly Carolina Guevara; Hassenrueck, Christiane; Gaerdes, Astrid] Leibniz Ctr Trop Marine Res, Dept Biogeochem & Geol, Trop Marine Microbiol, Bremen, Germany.
[Buttigieg, Pier Luigi] Alfred Wegener Inst, Helmholtz Zentrum Polar & Meeresforsch, HGF MPG Grp Deep Sea Ecol & Technol, Bremerhaven, Germany.
RP Hassenrück, C (corresponding author), Leibniz Ctr Trop Marine Res, Dept Biogeochem & Geol, Trop Marine Microbiol, Bremen, Germany.
CR Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
ALLDREDGE AL, 1988, PROG OCEANOGR, V20, P41, DOI 10.1016/0079-6611(88)90053-5
Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Alvain S, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003154
[Anonymous], 2016, ASTar Instrument
[Anonymous], BIOGEOSCIENCES DISCU
[Anonymous], 1986, TIDAL MIXING PLANKTO
Bailey JV, 2011, ISME J, V5, P1926, DOI 10.1038/ismej.2011.66
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bhaskar PV, 2005, FEMS MICROBIOL ECOL, V53, P255, DOI 10.1016/j.femsec.2004.12.013
Biermann A, 2014, J PLANKTON RES, V36, P658, DOI 10.1093/plankt/fbu005
Bizic-Ionescu M, 2015, ENVIRON MICROBIOL, V17, P3500, DOI 10.1111/1462-2920.12466
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
BORCARD D, 1992, ECOLOGY, V73, P1045, DOI 10.2307/1940179
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Cárdenas A, 2015, MAR CHEM, V175, P47, DOI 10.1016/j.marchem.2015.04.002
Chao A, 2014, ECOL MONOGR, V84, P45, DOI 10.1890/13-0133.1
Chavez FP, 1999, SCIENCE, V286, P2126, DOI 10.1126/science.286.5447.2126
Dafher EV, 2002, J ENVIRON MONITOR, V4, P55, DOI 10.1039/b107279j
Diepenbroek M., 2014, GI EDITION LECT NOTE, V232, P1711
Ducklow Hugh W., 2001, Oceanography, V14, P50
Edgar GJ, 2004, J BIOGEOGR, V31, P1107, DOI 10.1111/j.1365-2699.2004.01055.x
Engel A, 2000, J PLANKTON RES, V22, P485, DOI 10.1093/plankt/22.3.485
Engel A., 2009, PRACTICAL GUIDELINES, DOI DOI 10.1201/9781420073072.CH7
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
Fernandes AD, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-15
Fu FX, 2008, LIMNOL OCEANOGR, V53, P2472, DOI 10.4319/lo.2008.53.6.2472
Gallardo VA, 2007, INT MICROBIOL, V10, P97, DOI 10.2436/20.1501.01.14
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giering SLC, 2014, NATURE, V507, P480, DOI 10.1038/nature13123
Giovannelli D, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00184
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Grasshoff K., 1983, Marine Chemistry, V7, P86, DOI DOI 10.1016/0304-4203(78)90045-2
Grossart HP, 2010, ENV MICROBIOL REP, V2, P706, DOI 10.1111/j.1758-2229.2010.00179.x
Grossart HP, 2001, LIMNOL OCEANOGR, V46, P267, DOI 10.4319/lo.2001.46.2.0267
Gugliandolo C, 2006, ANN GEOPHYS-ITALY, V49, P783
Haas AF, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027973
Haas AF, 2010, AQUAT BIOL, V10, P131, DOI 10.3354/ab00271
Hassenrück C, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw027
HOUVENAGHEL G.T., 1978, Upwelling Ecosystems, P181, DOI [DOI 10.1007/978-3-642-66985-9_15, 10.1007/978-3-642-66985-9_15]
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Iuculano F, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00709
JACKSON GA, 1995, DEEP-SEA RES PT II, V42, P215, DOI 10.1016/0967-0645(95)00015-I
Jimenez R., 1981, Coastal and Estuarine Sciences, DOI [DOI 10.1029/CO001P0327, 10.1029/CO001p0327]
Kim JM, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL047346
Kislik E., 2017, International Journal of Bioengineering and Life Sciences, V11, P784
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Lanzén A, 2011, FEMS MICROBIOL ECOL, V77, P577, DOI 10.1111/j.1574-6941.2011.01138.x
LEGENDRE L., 1983, NUMERICAL ECOLOGY
López-Pérez M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00996
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
Mahé F, 2014, PEERJ, V2, DOI 10.7717/peerj.593
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Ogawa H, 2003, J OCEANOGR, V59, P129, DOI 10.1023/A:1025528919771
Ortega-Retuerta E, 2013, BIOGEOSCIENCES, V10, P2747, DOI 10.5194/bg-10-2747-2013
Osterholz H, 2016, ISME J, V10, P1717, DOI 10.1038/ismej.2015.231
Palacios DM, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2002GL016232
Palacios DM, 2004, DEEP-SEA RES PT II, V51, P43, DOI 10.1016/j.dsr2.2003.08.001
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Passow U, 2002, PROG OCEANOGR, V55, P287, DOI 10.1016/S0079-6611(02)00138-6
Passow U, 2001, CONT SHELF RES, V21, P327, DOI 10.1016/S0278-4343(00)00101-1
PASSOW U, 1995, DEEP-SEA RES PT II, V42, P99, DOI 10.1016/0967-0645(95)00006-C
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Piontek J, 2009, AQUAT MICROB ECOL, V54, P305, DOI 10.3354/ame01273
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2017, R LANG ENV STAT COMP
Ramette A, 2007, FEMS MICROBIOL ECOL, V62, P142, DOI 10.1111/j.1574-6941.2007.00375.x
Riebesell U, 2007, NATURE, V450, P545, DOI 10.1038/nature06267
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sala MM, 2016, ICES J MAR SCI, V73, P670, DOI 10.1093/icesjms/fsv130
Schaeffer BA, 2008, REMOTE SENS ENVIRON, V112, P3044, DOI 10.1016/j.rse.2008.03.005
SHANKS AL, 1989, MAR BIOL, V101, P463, DOI 10.1007/BF00541648
Silvester N, 2018, NUCLEIC ACIDS RES, V46, pD36, DOI 10.1093/nar/gkx1125
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suzuki S, 2017, J OCEANOGR, V73, P383, DOI 10.1007/s10872-016-0410-0
Sweet WV, 2007, DEEP-SEA RES PT I, V54, P2023, DOI 10.1016/j.dsr.2007.09.009
Tarasov VG, 2005, CHEM GEOL, V224, P5, DOI 10.1016/j.chemgeo.2005.07.021
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Thornton DCO, 2014, EUR J PHYCOL, V49, P20, DOI 10.1080/09670262.2013.875596
Tyrrell T, 2005, J GEOPHYS RES-BIOGEO, V110, DOI 10.1029/2005JG000041
Weinbauer MG, 2010, AQUAT MICROB ECOL, V60, P15, DOI 10.3354/ame01411
Wohlers J, 2009, P NATL ACAD SCI USA, V106, P7067, DOI 10.1073/pnas.0812743106
Yanyun Liu, 2014, International Journal of Oceanography, DOI 10.1155/2014/198686
Yilmaz P, 2012, FEMS MICROBIOL ECOL, V81, P373, DOI 10.1111/j.1574-6941.2012.01357.x
Yilmaz P, 2011, NAT BIOTECHNOL, V29, P415, DOI 10.1038/nbt.1823
Zapata-Hernández G, 2014, PROG OCEANOGR, V129, P149, DOI 10.1016/j.pocean.2014.03.005
Zark M, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1500531
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 96
TC 6
Z9 7
PD DEC 3
PY 2018
VL 6
AR e5984
DI 10.7717/peerj.5984
UT WOS:000452458500003
DA 2025-07-30
ER
PT J
AU Dong, HP
Wang, DZ
Xie, ZX
Dai, MH
Hong, HS
AF Dong, Hong-Po
Wang, Da-Zhi
Xie, Zhang-Xian
Dai, Min-Han
Hong, Hua-Sheng
TI Metaproteomic characterization of high molecular weight dissolved
organic matter in surface seawaters in the South China Sea
SO GEOCHIMICA ET COSMOCHIMICA ACTA
DT Article
AB Dissolved organic matter (DOM) is an important reservoir of carbon and energy in the marine environment and plays a key role in regulating the global carbon cycle. This study characterized proteins of high-molecular-weight DOM (size between 5 kDa and <0.2 mu m, HMW-DOM) collected from the surface seawaters in the South China Sea using a shotgun proteomic approach in combination with the global ocean sampling combined assembly protein database. A total of 367 protein groups matched by 993 unique peptides from 1991 spectra were identified from four surface HMW-DOM samples. Proteins with unknown taxonomic classification and function dominated the dissolved protein pool (43-53%) while the remaining proteins presented close similarity in biological origin among the four sampling sites. Rhodospirillaceae, Prochlorococcus, SAR11 clade and viruses were the major contributors to dissolved proteins in the HMW-DOM from surface seawaters while very few proteins were from the eukaryotic phytoplankton and no archaeal proteins were detected. Transporters with substrate specificities for nitrogen-and carbon-containing compounds (1.5% of the total spectra for each) were highly detected while no phosphate transporters were found, suggesting that carbon and nitrogen might be more limiting than phosphorus in the surface seawater. Viral proteins were assigned into three families: Myoviridae, Podoviridae and Siphoviridae, and the Myoviridae proteins were the most abundant. Among them, structure proteins were the most abundant viral proteins. This study indicated that the dissolved proteins of HMW-DOM presented compositional and biologically original homogeneity in the surface seawaters of the South China Sea, and bacteria and viruses dominated the dissolved protein pool. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Dong, Hong-Po; Wang, Da-Zhi; Xie, Zhang-Xian; Dai, Min-Han; Hong, Hua-Sheng] Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Dong, Hong-Po] Jinan Univ, Res Ctr Harmful Algae & Aquat Environm, Guangzhou, Guangdong, Peoples R China.
RP Wang, DZ (corresponding author), Xiamen Univ, Coll Environm & Ecol, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
EM wangdz66@yahoo.com
CR Aluwihare LI, 1997, NATURE, V387, P166, DOI 10.1038/387166a0
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Benner R, 2003, LIMNOL OCEANOGR, V48, P118, DOI 10.4319/lo.2003.48.1.0118
Carrondo MA, 2003, EMBO J, V22, P1959, DOI 10.1093/emboj/cdg215
Chen YFL, 2005, DEEP-SEA RES PT I, V52, P319, DOI 10.1016/j.dsr.2004.11.001
Christie-Oleza JA, 2012, MOL CELL PROTEOMICS, V11, DOI 10.1074/mcp.M111.013110
Dong HP, 2010, LIMNOL OCEANOGR, V55, P1565, DOI 10.4319/lo.2010.55.4.1565
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Guo LD, 1997, REV GEOPHYS, V35, P17, DOI 10.1029/96RG03195
Guo LD, 1995, LIMNOL OCEANOGR, V40, P1392, DOI 10.4319/lo.1995.40.8.1392
Hansell D. A., 2012, ANNU REV MAR SCI
Hertkorn N, 2006, GEOCHIM COSMOCHIM AC, V70, P2990, DOI 10.1016/j.gca.2006.03.021
Janausch IG, 2002, BBA-BIOENERGETICS, V1553, P39, DOI 10.1016/S0005-2728(01)00233-X
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Jiao NZ, 2002, CHINESE SCI BULL, V47, P1243, DOI 10.1360/02tb9276
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Keller A, 2002, ANAL CHEM, V74, P5383, DOI 10.1021/ac025747h
Loick N, 2007, DEEP-SEA RES PT I, V54, P596, DOI 10.1016/j.dsr.2006.12.009
Ludden P. W., 1995, Anoxygenic photosynthetic bacteria., P929
McCarthy M, 1997, NATURE, V390, P150, DOI 10.1038/36535
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Nesvizhskii AI, 2003, ANAL CHEM, V75, P4646, DOI 10.1021/ac0341261
Noble RT, 1997, APPL ENVIRON MICROB, V63, P77, DOI 10.1128/AEM.63.1.77-83.1997
Ogawa H, 2003, J OCEANOGR, V59, P129, DOI 10.1023/A:1025528919771
Powell MJ, 2005, MAR CHEM, V95, P183, DOI 10.1016/j.marchem.2004.09.004
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Ryu SY, 2008, CANCER INFORM, V6, P243
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Tanoue E, 1995, MAR CHEM, V51, P239, DOI 10.1016/0304-4203(95)00061-5
Tidball M.E., 2002, Women in higher education, pxv
Verberkmoes NC, 2009, ISME J, V3, P179, DOI 10.1038/ismej.2008.108
Wang DZ, 2011, LIMNOL OCEANOGR, V56, P1641, DOI 10.4319/lo.2011.56.5.1641
Williamson SJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001456
Wilm M, 1996, NATURE, V379, P466, DOI 10.1038/379466a0
Yamada N, 2003, LIMNOL OCEANOGR, V48, P1037, DOI 10.4319/lo.2003.48.3.1037
Yamada N, 2006, PROG OCEANOGR, V69, P1, DOI 10.1016/j.pocean.2005.11.001
Yamada N, 2009, J OCEANOGR, V65, P223, DOI 10.1007/s10872-009-0021-0
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zhang Y, 2011, RES MICROBIOL, V162, P320, DOI 10.1016/j.resmic.2010.12.006
Zou L, 2004, LIMNOL OCEANOGR, V49, P297, DOI 10.4319/lo.2004.49.1.0297
NR 45
TC 12
Z9 15
PD MAY 15
PY 2013
VL 109
BP 51
EP 61
DI 10.1016/j.gca.2013.01.041
UT WOS:000317269600005
DA 2025-07-30
ER
PT J
AU Stevens, H
Ulloa, O
AF Stevens, Heike
Ulloa, Osvaldo
TI Bacterial diversity in the oxygen minimum zone of the eastern tropical
South Pacific
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The structure and diversity of bacterial communities associated with the oxygen minimum zone (OMZ) of the eastern tropical South Pacific was studied through phylogenetic analysis. Clone libraries of 16S rRNA gene fragments were constructed using environmental DNA collected from the OMZ (60 m and 200 m), the sea surface (10 m), and the deep oxycline (450 m). At the class level, the majority of sequences affiliated to the gamma- (53.7%) and alpha-Proteobacteria (19.7%), and to the Bacteroidetes (11.2%). A vertical partitioning of the bacterial communities was observed, with main differences between the suboxic OMZ and the more oxygenated surface and deep oxycline waters. At the surface, the microbial community was predominantly characterized by SAR86, Loktanella and unclassified Flavobacteriaceae, whereas the deeper layer was dominated by Sulfitobacter and unclassified Alteromonadaceae. In the OMZ, major constituents affiliated to the marine SAR11 clade and to thiotrophic gamma-symbionts (25% of all sequences), a group not commonly found in pelagic waters. Sequences affiliating to the phylum Chloroflexi, to the AGG47 and SAR202 clades, to the delta-Proteobacteria, to the Acidobacteria, and to the 'anammox group' of the Planctomycetes were found exclusively in the OMZ. The bacterial richness in the OMZ was higher than in the oxic surface and deeper oxycline, as revealed by rarefaction analysis and the Chao1 richness estimator (surface: 45 +/- 8, deeper oxycline: 76 +/- 26; OMZ(60m): 97 +/- 33, OMZ(200m): 109 +/- 31). OMZ bacterial diversity indices (Fisher's: similar to 30 +/- 5, Shannon's: similar to 3.31, inverse Simpson's: similar to 20) were similar to those found in other pelagic marine environments. Thus, our results indicate a distinct and diverse bacterial community within the OMZ, with presumably novel and yet uncultivated bacterial lineages.
C1 Univ Concepcion, Lab Proc Oceanog & Clima, Dept Oceanog, Concepcion, Chile.
Univ Concepcion, Lab Proc Oceanog & Clima, Ctr Invest Ocean & Pacifico Sud Oriental, Concepcion, Chile.
RP Stevens, H (corresponding author), Univ Concepcion, Lab Proc Oceanog & Clima, Dept Oceanog, Casilla 160-C, Concepcion, Chile.
EM h.stevens@profc.udec.cl
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Allex CF, 1999, THESIS U WISCONSIN M
[Anonymous], 1972, A Practical Handbook of Seawater Analysis
Araújo MB, 2002, CONSERV BIOL, V16, P1662, DOI 10.1046/j.1523-1739.2002.02068.x
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
BAILEY GW, 1991, PROG OCEANOGR, V28, P9, DOI 10.1016/0079-6611(91)90019-I
Bange HW, 1998, GEOPHYS RES LETT, V25, P3547, DOI 10.1029/98GL02710
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Béjà O, 2002, APPL ENVIRON MICROB, V68, P335, DOI 10.1128/AEM.68.1.335-345.2002
Bouman HA, 2006, SCIENCE, V312, P918, DOI 10.1126/science.1122692
BURKE RA, 1983, LIMNOL OCEANOGR, V28, P19, DOI 10.4319/lo.1983.28.1.0019
Castro-González M, 2005, ENVIRON MICROBIOL, V7, P1298, DOI 10.1111/j.1462-2920.2005.00809.x
Castro-González M, 2004, MAR ECOL PROG SER, V280, P1, DOI 10.3354/meps280001
CHAO A, 1984, SCAND J STAT, V11, P265
CHAO A, 1987, BIOMETRICS, V43, P783, DOI 10.2307/2531532
Colwell RK., 2004, EstimateS, Version 7: Statistical Estimation of Species Richness and Shared Species from Samples (Software and User's Guide)
Cornejo M, 2006, MAR CHEM, V101, P85, DOI 10.1016/j.marchem.2006.01.004
Cuevas LA, 2006, J PLANKTON RES, V28, P385, DOI 10.1093/plankt/fbi124
Daffonchio D, 2006, NATURE, V440, P203, DOI 10.1038/nature04418
Daneri G, 2000, MAR ECOL PROG SER, V197, P41, DOI 10.3354/meps197041
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Escribano R, 2000, SCI MAR, V64, P69, DOI 10.3989/scimar.2000.64n169
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
FUERST JA, 1995, MICROBIOL-UK, V141, P1493, DOI 10.1099/13500872-141-7-1493
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
FUHRMANN JA, 1999, NATURE, V2, P191
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giuliano L, 1999, MICROBIAL ECOL, V37, P77
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Hamersley MR, 2007, LIMNOL OCEANOGR, V52, P923, DOI 10.4319/lo.2007.52.3.0923
Harris JK, 2004, APPL ENVIRON MICROB, V70, P845, DOI 10.1128/AEM.70.2.845-849.2004
Helly JJ, 2004, DEEP-SEA RES PT I, V51, P1159, DOI 10.1016/j.dsr.2004.03.009
Hong SH, 2006, P NATL ACAD SCI USA, V103, P117, DOI 10.1073/pnas.0507245102
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Huber T, 2004, BIOINFORMATICS, V20, P2317, DOI 10.1093/bioinformatics/bth226
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
KAMYKOWSKI D, 1990, DEEP-SEA RES, V37, P1861, DOI 10.1016/0198-0149(90)90082-7
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirkpatrick J, 2006, APPL ENVIRON MICROB, V72, P3079, DOI 10.1128/AEM.72.4.3079-3083.2006
Kuypers MMM, 2005, P NATL ACAD SCI USA, V102, P6478, DOI 10.1073/pnas.0502088102
Levin LA, 2002, AM SCI, V90, P436, DOI 10.1511/2002.5.436
LIESACK W, 1991, MICROBIAL ECOL, V21, P191, DOI 10.1007/BF02539153
Lin XJ, 2006, APPL ENVIRON MICROB, V72, P2679, DOI 10.1128/AEM.72.4.2679-2690.2006
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Madrid VM, 2001, APPL ENVIRON MICROB, V67, P1663, DOI 10.1128/AEM.67.4.1663-1674.2001
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
MESSING J, 1983, METHOD ENZYMOL, V101, P20
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Molina V, 2005, MAR ECOL PROG SER, V288, P35, DOI 10.3354/meps288035
Molina V, 2007, APPL ENVIRON MICROB, V73, P3547, DOI 10.1128/AEM.02275-06
Moore LR, 2005, AQUAT MICROB ECOL, V39, P257, DOI 10.3354/ame039257
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Morrison JM, 1999, DEEP-SEA RES PT II, V46, P1903, DOI 10.1016/S0967-0645(99)00048-X
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Muyzer G, 1995, WATER SCI TECHNOL, V32, P1, DOI 10.1016/0273-1223(96)00001-7
Muyzer G, 1998, ANTON LEEUW INT J G, V73, P127, DOI 10.1023/A:1000669317571
OWENS NJP, 1991, NATURE, V354, P293, DOI 10.1038/354293a0
Patra PK, 1998, J GEOPHYS RES-OCEANS, V103, P1167, DOI 10.1029/97JC02590
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
SAMBROOK J, 1989, NO HYBRIDISATION MOL
SHANNON CE, 1948, BELL SYST TECH J, V27, P379, DOI 10.1002/j.1538-7305.1948.tb01338.x
SIEBURTH JM, 1987, CURR MICROBIOL, V14, P285, DOI 10.1007/BF01568138
Stevens H, 2005, FEMS MICROBIOL ECOL, V54, P351, DOI 10.1016/j.femsec.2005.04.008
Stevens H, 2005, AQUAT MICROB ECOL, V38, P15, DOI 10.3354/ame038015
Stevens H, 2007, ENVIRON MICROBIOL, V9, P1810, DOI 10.1111/j.1462-2920.2007.01302.x
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Thamdrup B, 2006, LIMNOL OCEANOGR, V51, P2145, DOI 10.4319/lo.2006.51.5.2145
van der Wielen PWJJ, 2005, SCIENCE, V307, P121, DOI 10.1126/science.1103569
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
WILLIAMS PJL, 1982, LIMNOL OCEANOGR, V27, P576, DOI 10.4319/lo.1982.27.3.0576
Winkler L.W., 1988, BER DTSCHE CHEM GES, V21, P2843, DOI 10.1002/cber.188802102122
WISHNER KF, 1995, DEEP-SEA RES PT I, V42, P93, DOI 10.1016/0967-0637(94)00021-J
Woebken D, 2007, APPL ENVIRON MICROB, V73, P4648, DOI 10.1128/AEM.02774-06
Wyrtki K., 1966, Oceanogr. Mar. Biol. Annu. Rev, V4, P33
Wyrtki K., 1973, ECOL STUD, V3, P18, DOI DOI 10.1007/978-3-642-65468-8_3
NR 85
TC 190
Z9 204
PD MAY
PY 2008
VL 10
IS 5
BP 1244
EP 1259
DI 10.1111/j.1462-2920.2007.01539.x
UT WOS:000254666700013
DA 2025-07-30
ER
PT J
AU Babic, I
Mucko, M
Petric, I
Bosak, S
Mihanovic, H
Vilibic, I
Radic, ID
Cetinic, I
Balestra, C
Casotti, R
Ljubesic, Z
AF Babic, Ivana
Mucko, Maja
Petric, Ines
Bosak, Suncica
Mihanovic, Hrvoje
Vilibic, Ivica
Radic, Iris Dupcic
Cetinic, Ivona
Balestra, Cecilia
Casotti, Raffaella
Ljubesic, Zrinka
TI Multilayer approach for characterization of bacterial diversity in a
marginal sea: From surface to seabed
SO JOURNAL OF MARINE SYSTEMS
DT Article
AB Bacteria are the most important microorganisms in the world oceans, accounting for up to 75% of the total biomass. They are responsible for fundamental biogeochemical processes and therefore often used as ecological indicators. In this study, bacteria were quantified by flow cytometry and their diversity assessed by High Throughput Sequencing (HTS) in the southern Adriatic Sea. The most abundant bacterial groups were also quantified by qPCR. The samples were collected from the surface to the seabed over a total of 16 different depths at four stations during the late winter BIOTA (BIO-Tracing Adriatic water masses) cruise conducted in March 2016. The investigated area showed unusual water mass properties and was characterized by a shallow mixed layer, which differed from the usual winter convection conditions, typical of middle-altitude ecosystems and important for the seasonal picoplankton dynamics of this area. Heterotrophic bacteria were separated into HNA (relative High Nucleic Acid content) and LNA (Low Nucleic Acid content) subpopulations with abundances up to 1.8 x 10(5) and 8.8 x 10(5) cells mL(-1) respectively. HNA dominated at offshore stations reaching their maximum at depths below the euphotic zone. The bacterial community was dominated by Alphaproteobacteria, accounting for > 40% of the total sequence reads and were mainly represented by the SAR11 Glade (90.84%), followed by Marinimicrobia (18% of the total sequence reads), mainly represented by Glade SAR406 (8.44%). Distinctive bacterial groups were found in the euphotic layer (Bacteroidetes and Actinobacteria) and aphotic layer samples (Deltaproteobacteria, Marinimicrobia, Chloroflexi, Acidobacteria and Planctomycetes). Results of the qPCR analyses further confirmed HTS results with highest abundances obtained for Alphaproteobacteria, followed by Gammaproteobacteria and Bacteroidetes. The adopted multiple approach, combining different molecular tools, critically supported by optics and flow cytometry, reveal changes in the bacterial assemblages during the unusual thermohaline conditions observed in 2016 in the southern Adriatic Sea.
C1 [Babic, Ivana; Mucko, Maja; Bosak, Suncica; Ljubesic, Zrinka] Univ Zagreb, Fac Sci, Dept Biol, Rooseveltov Trg 6, Zagreb 10000, Croatia.
[Petric, Ines] Rudjer Boskovic Inst, Div Marine & Environm Res, Bijenicka Cesta 54, Zagreb 10000, Croatia.
[Mihanovic, Hrvoje; Vilibic, Ivica] Inst Oceanog & Fisheries, Phys Oceanog Lab, Setaliste I Mestrovica 63, Split 21000, Croatia.
[Radic, Iris Dupcic] Univ Dubrovnik, Inst Marine & Coastal Res, Kneza Damjana Jude 12, Dubrovnik 20000, Croatia.
[Cetinic, Ivona] Univ Space Res Assoc, GESTAR, 7178 Columbia Gateway Dr, Columbia, MD 21046 USA.
[Cetinic, Ivona] NASA, Goddard Space Flight Space Ctr, Greenbelt, MD 20771 USA.
[Balestra, Cecilia; Casotti, Raffaella] Dept Integrat Marine Ecol, Stn Zool Anton Dohrn, I-80121 Naples, Italy.
RP Petric, I (corresponding author), Rudjer Boskovic Inst, Div Marine & Environm Res, Bijenicka Cesta 54, Zagreb 10000, Croatia.
EM ipetric@irb.hr
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Babic I., 2017, MAR GENOM, V17, P30062
Balestra C, 2011, AQUAT MICROB ECOL, V63, P123, DOI 10.3354/ame01486
Batistic M, 2012, CONT SHELF RES, V44, P57, DOI 10.1016/j.csr.2011.01.004
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Casotti R, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001541
Cerino F, 2012, CONT SHELF RES, V44, P94, DOI 10.1016/j.csr.2011.06.006
Cetinic I, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007771
Christaki U, 2011, LIMNOL OCEANOGR-METH, V9, P329, DOI 10.4319/lom.2011.9.329
Chusman-Roisin B., 2001, PHYS OCEANOGRAPHY AD
Civitarese G, 2010, BIOGEOSCIENCES, V7, P3987, DOI 10.5194/bg-7-3987-2010
Clarke K, 1994, CHANGE MARINE COMMUN, P2
COLE JJ, 1988, MAR ECOL PROG SER, V43, P1, DOI 10.3354/meps043001
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Fierer N, 2005, APPL ENVIRON MICROB, V71, P4117, DOI 10.1128/AEM.71.7.4117-4120.2005
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
Gacic M, 2002, CONT SHELF RES, V22, P1897, DOI 10.1016/S0278-4343(02)00050-X
Gacic M., 2001, PHYS OCEANOGRAPHY AD
Gallagher JM, 2004, FEMS MICROBIOL ECOL, V47, P249, DOI 10.1016/S0168-6496(03)00281-2
Gallina AA, 2011, J SEA RES, V66, P1, DOI 10.1016/j.seares.2011.03.009
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
IVANCIC I, 1984, WATER RES, V18, P1143, DOI 10.1016/0043-1354(84)90230-6
Jensen PR, 2008, ANTON LEEUW INT J G, V94, P51, DOI 10.1007/s10482-008-9239-x
Jochem FJ, 2004, MAR BIOL, V145, P1213, DOI 10.1007/s00227-004-1406-7
JORGENSEN BB, 1982, NATURE, V296, P643, DOI 10.1038/296643a0
Karsenti E, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001177
Klepac-Ceraj V, 2004, ENVIRON MICROBIOL, V6, P686, DOI 10.1111/j.1462-2920.2004.00600.x
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
Kuczynski Justin, 2011, Curr Protoc Bioinformatics, VChapter 10, DOI [10.1002/9780471729259.mc01e05s27, 10.1002/0471250953.bi1007s36]
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Ljubimir S, 2017, CONT SHELF RES, V143, P311, DOI 10.1016/j.csr.2017.05.007
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Mihanovic H, 2013, OCEAN SCI, V9, P561, DOI 10.5194/os-9-561-2013
milauer P., 2014, MULTIVARIATE ANAL EC, DOI DOI 10.1017/CBO9781139627061
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Najdek M, 2014, BIOGEOSCIENCES, V11, P2645, DOI 10.5194/bg-11-2645-2014
Nubel U, 1997, APPL ENVIRON MICROB, V63, P3327
Oksanen J., 2007, Community Ecology Package, V10, P719
ORLIC M, 1992, OCEANOL ACTA, V15, P109
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Petric I, 2011, J HAZARD MATER, V195, P254, DOI 10.1016/j.jhazmat.2011.08.036
Polimene L, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003529
Poulain PM, 2001, J MARINE SYST, V29, P3, DOI 10.1016/S0924-7963(01)00007-0
Quaiser A, 2011, ISME J, V5, P285, DOI 10.1038/ismej.2010.113
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Santic D, 2011, ACTA ADRIAT, V52, P101
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Signori CN, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00647
Silovic T, 2011, ESTUAR COAST SHELF S, V91, P519, DOI 10.1016/j.ecss.2010.12.012
Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
Strickland J.D.H., 1968, B FISH RES BOARD CAN, V167, P310, DOI [10.1002/iroh.19700550118, DOI 10.1002/IROH.19700550118]
Sullivan J.M., 2013, Light Scattering Reviews 7, P189, DOI DOI 10.1007/978-3-642-21907-8_6
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vilibic I, 2012, BIOGEOSCIENCES, V9, P2085, DOI 10.5194/bg-9-2085-2012
Vilibic I, 2008, OCEAN DYNAM, V58, P119, DOI 10.1007/s10236-008-0135-8
Wessén E, 2010, SOIL BIOL BIOCHEM, V42, P1759, DOI 10.1016/j.soilbio.2010.06.013
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Zhang XD, 2009, OPT EXPRESS, V17, P5698, DOI 10.1364/OE.17.005698
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 68
TC 8
Z9 8
PD AUG
PY 2018
VL 184
BP 15
EP 27
DI 10.1016/j.jmarsys.2018.04.002
UT WOS:000434749000002
DA 2025-07-30
ER
PT J
AU Molina, V
Cornejo-D'Ottone, M
Soto, EH
Quiroga, E
Alarcón, G
Silva, D
Acuña, C
Silva, N
AF Molina, Veronica
Cornejo-D'Ottone, Marcela
Soto, Eulogio H.
Quiroga, Eduardo
Alarcon, Guillermo
Silva, Daniela
Acuna, Carla
Silva, Nelson
TI Biogeochemical Responses and Seasonal Dynamics of the Benthic Boundary
Layer Microbial Communities during the El Nino 2015 in an Eastern
Boundary Upwelling System
SO WATER
DT Article
AB The Eastern South Pacific coastal zone is characterized by seasonal and interannual variability, driven by upwelling and El Nino Southern Oscillation (ENSO), respectively. These oceanographical conditions influence microbial communities and their contribution to nutrient and greenhouse gases recycling, especially in bottom waters due to oxygenation. This article addresses the seasonal hydrographic and biogeochemical conditions in the water and sediments during El Nino 2015. Bottom water active microbial communities, including nitrifiers, were studied using amplicon sequencing of 16S rRNA (cDNA) and RT-qPCR, respectively. The results of the hydrographic analysis showed changes in the water column associated with the predominance of sub-Antarctic Waters characterized by warmed and low nutrients in the surface and more oxygenated conditions at the bottom in comparison with El Nino 2014. The organic matter quantity and quality decreased during fall and winter. The bottom water active microbial assemblages were dominated by archaea (Ca. Poseidoniales) and putative ammonia oxidizing archaea. Active bacteria affiliated to SAR11, Marinimicrobia and Nitrospina, and oxygen deficient realms (Desulfobacterales, SUP05 clade and anammox) suffered variations, possibly associated with oxygen and redox conditions in the benthic boundary layer. Nitrifying functional groups contributed significantly more during late fall and winter which was consistent with higher bottom water oxygenation. Relationships between apparent oxygen utilization nitrate and nitrous oxide in the water support the contribution of nitrification to this greenhouse gas distribution in the water. In general, our study suggests that seasonal oceanographic variability during an El Nino year influences the microbial community and thus remineralization potential, which supports the need to carry out longer time series to identify the relevance of seasonality under ENSO in Eastern Boundary Upwelling Systems (EBUS) areas.
C1 [Molina, Veronica; Silva, Daniela; Acuna, Carla] Univ Playa Ancha, Observ Ecol Microbiana, Dept Biol, Fac Ciencias Nat & Exactas, Ave Leopoldo Carvallo 270, Valparaiso 2340000, Chile.
[Molina, Veronica] Univ Playa Ancha, HUB Ambiental UPLA, Ave Leopoldo Carvallo 200, Valparaiso 2340000, Chile.
[Cornejo-D'Ottone, Marcela; Quiroga, Eduardo; Alarcon, Guillermo; Silva, Nelson] Pontificia Univ Catolica Valparaiso, Escuela Ciencias Mar, Altamirano 1480, Valparaiso 2360007, Chile.
[Cornejo-D'Ottone, Marcela; Quiroga, Eduardo; Alarcon, Guillermo; Silva, Nelson] Pontificia Univ Catolica Valparaiso, Inst Milenio Oceanog, Altamirano 1480, Valparaiso 2360007, Chile.
[Soto, Eulogio H.] Univ Valparaiso, Fac Ciencias Mar & Recursos Nat, Ctr Observ Marino Estudios Riesgos Ambiente Coste, Casilla 5080, Vina Del Mar 2520000, Chile.
[Soto, Eulogio H.] Univ Valparaiso, Lab Bentos, Escuela Biol Marina, Vina Del Mar 2520000, Chile.
RP Molina, V (corresponding author), Univ Playa Ancha, Observ Ecol Microbiana, Dept Biol, Fac Ciencias Nat & Exactas, Ave Leopoldo Carvallo 270, Valparaiso 2340000, Chile.; Molina, V (corresponding author), Univ Playa Ancha, HUB Ambiental UPLA, Ave Leopoldo Carvallo 200, Valparaiso 2340000, Chile.; Cornejo-D'Ottone, M (corresponding author), Pontificia Univ Catolica Valparaiso, Escuela Ciencias Mar, Altamirano 1480, Valparaiso 2360007, Chile.; Cornejo-D'Ottone, M (corresponding author), Pontificia Univ Catolica Valparaiso, Inst Milenio Oceanog, Altamirano 1480, Valparaiso 2360007, Chile.
EM veronica.molina@upla.cl; marcela.cornejo@pucv.cl; eulogio.soto@uv.cl;
eduardo.quiroga@pucv.cl; guillermo.alarcon.valdebenito@gmail.com;
daniela.biomaruv@gmail.com; c.acuasilva@gmail.com; nelson.silva@pucv.cl
CR Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Anabalón V, 2016, PROG OCEANOGR, V149, P174, DOI 10.1016/j.pocean.2016.10.011
Anderson AJ, 2008, For PRIMER: Guide to Software and Statistical Methods Plymouth
Aparicio-Rizzo P, 2019, REV BIOL MAR OCEANOG, V54, P70, DOI 10.22370/rbmo.2019.54.1.1495
Atlas EL., 1971, A practical manual for use of the Technicon AutoAnalyzer in seawater nutrient analysis (revised), V215
Bates N.R., 1993, BERMUDA BIOL STATION, V108
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Bonaglia S, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6133
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
BYERS SC, 1978, HYDROBIOLOGIA, V58, P43, DOI 10.1007/BF00018894
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
CARPENTER JAMES H., 1965, LIMNOL OCEANOGR, V10, P135
Carvajal M, 2017, PURE APPL GEOPHYS, V174, P3313, DOI 10.1007/s00024-017-1584-0
CLINE JD, 1969, LIMNOL OCEANOGR, V14, P454, DOI 10.4319/lo.1969.14.3.0454
Codispoti LA, 2007, BIOGEOSCIENCES, V4, P233, DOI 10.5194/bg-4-233-2007
Contreras S, 2007, PROG OCEANOGR, V75, P576, DOI 10.1016/j.pocean.2007.08.030
Cornejo M, 2007, PROG OCEANOGR, V75, P383, DOI 10.1016/j.pocean.2007.08.018
Coskun ÖK, 2019, ISME J, V13, P1546, DOI 10.1038/s41396-019-0373-4
Devol AH, 2015, ANNU REV MAR SCI, V7, P403, DOI 10.1146/annurev-marine-010213-135040
Devol AH, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P263, DOI 10.1016/B978-0-12-372522-6.00006-2
Dyksma S, 2018, ENVIRON MICROBIOL, V20, P450, DOI 10.1111/1462-2920.13880
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Farías L, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/044017
Farias L, 2009, LIMNOL OCEANOGR, V54, P132, DOI 10.4319/lo.2009.54.1.0132
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Frey C, 2020, BIOGEOSCIENCES, V17, P2263, DOI 10.5194/bg-17-2263-2020
Fuenzalida R, 2009, DEEP-SEA RES PT II, V56, P1027, DOI 10.1016/j.dsr2.2008.11.001
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galán A, 2014, LIMNOL OCEANOGR, V59, P1865, DOI 10.4319/lo.2014.59.6.1865
Galán A, 2012, PROG OCEANOGR, V92-95, P110, DOI 10.1016/j.pocean.2011.07.007
Graco M, 2016, B TRIMESTRAL OCEANOG, V2, P2
Gutiérrez D, 2000, MAR ECOL PROG SER, V202, P81, DOI 10.3354/meps202081
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Iriarte J.L., 2002, INVESTIG MAR, V30, P114, DOI [10.4067/S0717-71782002030100027, DOI 10.4067/S0717-71782002030100027]
Jorgensen BB, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00849
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Levipan HA, 2016, ENV MICROBIOL REP, V8, P851, DOI 10.1111/1758-2229.12448
Levipan HA, 2014, ENV MICROBIOL REP, V6, P565, DOI 10.1111/1758-2229.12158
Löscher CR, 2012, BIOGEOSCIENCES, V9, P2419, DOI 10.5194/bg-9-2419-2012
MCAULLIF C, 1971, CHEM TECHNOL, P46
Molina V, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.561597
Murillo AA, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00018
Nascimento FJA, 2012, LIMNOL OCEANOGR, V57, P338, DOI 10.4319/lo.2012.57.1.0338
Neira C, 2001, OCEANOL ACTA, V24, P313, DOI 10.1016/S0399-1784(01)01149-5
Nevison C, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2003GB002068
Oerder V, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10050690
Parada AE, 2017, ISME J, V11, P2510, DOI 10.1038/ismej.2017.104
Pastene M, 2019, MAR POLLUT BULL, V142, P76, DOI 10.1016/j.marpolbul.2019.03.005
Pereira O, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.852
Pfannkuche O, 1998, PROG OCEANOGR, V42, P189, DOI 10.1016/S0079-6611(98)00034-2
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Reji L, 2019, ISME J, V13, P1144, DOI 10.1038/s41396-018-0311-x
Rotthauwe JH, 1997, APPL ENVIRON MICROB, V63, P4704, DOI 10.1128/AEM.63.12.4704-4712.1997
Santoro AE, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2020GB006716
Santoso A, 2017, REV GEOPHYS, V55, P1079, DOI 10.1002/2017RG000560
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schratzberger M, 2018, J EXP MAR BIOL ECOL, V502, P12, DOI 10.1016/j.jembe.2017.01.007
Schulz HN, 2000, MAR ECOL PROG SER, V200, P117, DOI 10.3354/meps200117
Sellanes J, 2007, CONT SHELF RES, V27, P1002, DOI 10.1016/j.csr.2007.01.001
Silva N, 2009, DEEP-SEA RES PT II, V56, P992, DOI 10.1016/j.dsr2.2008.12.013
Skytte Andersen K.S., 2018, ampvis2: An R Package to Analyse and Visualise 16S rRNA Amplicon Data, P299537, DOI DOI 10.1101/299537, Patent No. 299537
Soto E, 2017, MAR BIODIVERS, V47, P433, DOI 10.1007/s12526-016-0479-0
Soto E, 2015, LAT AM J AQUAT RES, V43, P922, DOI 10.3856/vol43-issue5-fulltext-12
Srain BM, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00533
Strub P., 1998, SEA
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Ulloa O, 2001, GEOPHYS RES LETT, V28, P1591, DOI 10.1029/2000GL011548
Bui VH, 2019, WATER-SUI, V11, DOI 10.3390/w11030550
Wang HL, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0181048
Wilson JM, 2018, ENV MICROBIOL REP, V10, P272, DOI 10.1111/1758-2229.12635
NR 71
TC 5
Z9 6
PD JAN
PY 2021
VL 13
IS 2
AR 180
DI 10.3390/w13020180
UT WOS:000611784400001
DA 2025-07-30
ER
PT J
AU Rasse, R
Claustre, H
Poteau, A
AF Rasse, Rafael
Claustre, Herve
Poteau, Antoine
TI The suspended small-particle layer in the oxygen-poor Black Sea: a proxy
for delineating the effective N2-yielding section
SO BIOGEOSCIENCES
DT Article
AB The shallower oxygen-poor water masses of the ocean confine a majority of the microbial communities that can produce up to 90% of oceanic N-2. This effective N-2-yielding section encloses a suspended small-particle layer, inferred from particle backscattering (b(bp)) measurements. It is thus hypothesized that this layer (hereafter, the b(bp)-layer) is linked to microbial communities involved in N-2 yielding such as nitrate-reducing SAR11 as well as sulfur-oxidizing, anammox, and denitrifying bacteria - a hypothesis yet to be evaluated. Here, data collected by three BGC-Argo floats deployed in the Black Sea are used to investigate the origin of this bbp-layer. To this end, we evaluate how the key drivers of N-2-yielding bacteria dynamics impact the vertical distribution of b(bp) and the thickness of the b(bp)-layer. In conjunction with published data on N-2 excess, our results suggest that the b(bp)-layer is at least partially composed of the bacteria driving N-2 yielding for three main reasons: (1) strong correlations are recorded between bbp and nitrate; (2) the top location of the b(bp)-layer is driven by the ventilation of oxygen-rich subsurface waters, while its thickness is modulated by the amount of nitrate available to produce N-2; and (3) the maxima of both b(bp) and N-2 excess coincide at the same isopycnals where bacteria involved in N-2 yielding coexist. We thus advance that b(bp) and O-2 can be exploited as a combined proxy to delineate the N-2-yielding section of the Black Sea. This proxy can potentially contribute to refining delineation of the effective N-2-yielding section of oxygen-deficient zones via data from the growing BGC-Argo float network.
C1 [Rasse, Rafael; Claustre, Herve; Poteau, Antoine] Sorbonne Univ, F-06230 Villefranche Sur Mer, France.
[Rasse, Rafael; Claustre, Herve; Poteau, Antoine] CNRS, Lab Oceanog Villefranche LOV, UMR7093, Inst Mer Villefranche IMEV, F-06230 Villefranche Sur Mer, France.
RP Rasse, R (corresponding author), Sorbonne Univ, F-06230 Villefranche Sur Mer, France.
EM rafael.rasse@obs-vlfr.fr
CR Babbin AR, 2014, SCIENCE, V344, P406, DOI 10.1126/science.1248364
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
Bianchi D, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004209
Bishop JKB, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003206
Bittig HC, 2015, J ATMOS OCEAN TECH, V32, P1536, DOI 10.1175/JTECH-D-14-00162.1
Boyd PW, 2019, NATURE, V568, P327, DOI 10.1038/s41586-019-1098-2
Briggs N, 2020, SCIENCE, V367, P791, DOI 10.1126/science.aay1790
Briggs N, 2011, DEEP-SEA RES PT I, V58, P1031, DOI 10.1016/j.dsr.2011.07.007
Bristow LA, 2017, NAT GEOSCI, V10, P24, DOI [10.1038/NGEO2847, 10.1038/ngeo2847]
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
Callbeck CM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04041-x
Canfield DE, 2009, GEOBIOLOGY, V7, P385, DOI 10.1111/j.1472-4669.2009.00214.x
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Cavan EL, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14847
Chang BX, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004207
Chang BX, 2010, DEEP-SEA RES PT I, V57, P1092, DOI 10.1016/j.dsr.2010.05.009
Clement BG, 2009, GEOCHIM COSMOCHIM AC, V73, P1878, DOI 10.1016/j.gca.2008.12.023
Çoban-Yildiz Y, 2006, DEEP-SEA RES PT II, V53, P1875, DOI 10.1016/j.dsr2.2006.03.021
Codispoti LA, 2007, BIOGEOSCIENCES, V4, P233, DOI 10.5194/bg-4-233-2007
Codispoti LA, 2001, SCI MAR, V65, P85, DOI 10.3989/scimar.2001.65s285
Dall'Olmo G, 2014, GEOPHYS RES LETT, V41, P2921, DOI 10.1002/2014GL059244
Dalsgaard T, 2014, MBIO, V5, DOI 10.1128/mBio.01966-14
Dalsgaard T, 2012, LIMNOL OCEANOGR, V57, P1331, DOI 10.4319/lo.2012.57.5.1331
de Boyer Montégut C, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002378
Dellwig O, 2010, GEOCHIM COSMOCHIM AC, V74, P7100, DOI 10.1016/j.gca.2010.09.017
DeVries T, 2013, BIOGEOSCIENCES, V10, P2481, DOI 10.5194/bg-10-2481-2013
DeVries T, 2012, NAT GEOSCI, V5, P547, DOI [10.1038/NGEO1515, 10.1038/ngeo1515]
Ediger D, 2019, J MARINE SYST, V198, DOI 10.1016/j.jmarsys.2019.103183
Estapa ML, 2019, GLOBAL BIOGEOCHEM CY, V33, P282, DOI 10.1029/2018GB006098
Fuchsman CA, 2008, MAR CHEM, V111, P90, DOI 10.1016/j.marchem.2008.04.009
Fuchsman CA, 2019, GLOBAL BIOGEOCHEM CY, V33, P143, DOI 10.1029/2018GB006032
Fuchsman CA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02384
Fuchsman CA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00257
Fuchsman CA, 2012, FEMS MICROBIOL ECOL, V80, P402, DOI 10.1111/j.1574-6941.2012.01306.x
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Glaubitz S, 2010, FEMS MICROBIOL ECOL, V74, P32, DOI 10.1111/j.1574-6941.2010.00944.x
Grote J, 2008, APPL ENVIRON MICROB, V74, P7546, DOI 10.1128/AEM.01186-08
Gruber N, 1997, GLOBAL BIOGEOCHEM CY, V11, P235, DOI 10.1029/97GB00077
Gruber N, 2008, NATURE, V451, P293, DOI 10.1038/nature06592
Hamme RC, 2004, DEEP-SEA RES PT I, V51, P1517, DOI 10.1016/j.dsr.2004.06.009
Helm KP, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049513
Jayakumar A, 2017, ISME J, V11, P2356, DOI 10.1038/ismej.2017.97
Jensen MM, 2008, LIMNOL OCEANOGR, V53, P23, DOI 10.4319/lo.2008.53.1.0023
Johnson K., 2016, Processing bio-argo nitrate concentration at the DAC level, DOI [10.13155/46121, DOI 10.13155/46121]
Johnson KS, 2006, SCIENCE, V313, P1896, DOI 10.1126/science.1133496
Johnson KS, 1996, GEOCHIM COSMOCHIM AC, V60, P1291, DOI 10.1016/0016-7037(96)00005-1
JORGENSEN BB, 1991, DEEP-SEA RES, V38, pS1083
Karl DM, 2012, P NATL ACAD SCI USA, V109, P1842, DOI 10.1073/pnas.1120312109
KARL DM, 1988, NATURE, V332, P438, DOI 10.1038/332438a0
Keeling RF, 2002, P NATL ACAD SCI USA, V99, P7848, DOI 10.1073/pnas.122154899
Kiko R, 2017, NAT GEOSCI, V10, P852, DOI [10.1038/ngeo3042, 10.1038/NGEO3042]
Kirkpatrick JB, 2019, AQUAT MICROB ECOL, V82, P43, DOI 10.3354/ame01882
Kirkpatrick JB, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00256
Konovalov SK, 2006, DEEP-SEA RES PT II, V53, P1817, DOI 10.1016/j.dsr2.2006.03.013
Konovalov S.K., 2005, OCEANOGRAPHY, V18, P24, DOI DOI 10.5670/OCEANOG.2005.39
Konovalov SK, 2003, LIMNOL OCEANOGR, V48, P2369, DOI 10.4319/lo.2003.48.6.2369
Kuypers MMM, 2003, NATURE, V422, P608, DOI 10.1038/nature01472
Lam P, 2007, P NATL ACAD SCI USA, V104, P7104, DOI 10.1073/pnas.0611081104
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Lewis BL, 2000, DEEP-SEA RES PT II, V47, P1541, DOI 10.1016/S0967-0645(99)00153-8
Margolin AR, 2016, MAR CHEM, V183, P13, DOI 10.1016/j.marchem.2016.05.003
Margolskee A, 2019, GLOBAL BIOGEOCHEM CY, V33, P875, DOI 10.1029/2018GB006149
MARTIN JH, 1984, EARTH PLANET SC LETT, V67, P35, DOI 10.1016/0012-821X(84)90036-0
Murray J., 2005, Oceanography, V18, P36, DOI 10.5670/oceanog.2005.40
MURRAY JW, 1995, ADV CHEM SER, V244, P157, DOI 10.1021/ba-1995-0244.ch007
NAQVI SWA, 1993, J GEOPHYS RES-OCEANS, V98, P16469, DOI 10.1029/93JC00973
NAQVI WA, 1991, OCEANOL ACTA, V14, P281
Organelli E, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07814-6
Oschlies A, 2018, NAT GEOSCI, V11, P467, DOI 10.1038/s41561-018-0152-2
Peters BD, 2016, GLOBAL BIOGEOCHEM CY, V30, P1661, DOI 10.1002/2016GB005415
Rasse R, 2019, GLOBAL BIOGEOCHEM CY, V33, P1611, DOI 10.1029/2019GB006305
Reed A, 2018, DEEP-SEA RES PT I, V139, P68, DOI 10.1016/j.dsr.2018.07.007
Schmechtig C., 2015, ARGODATA MANAGEMENT, DOI [10.13155/39459, DOI 10.13155/39459]
Schmechtig C., 2018, IFREMER, DOI [10.13155/35385, DOI 10.13155/35385]
Schmidtko S, 2017, NATURE, V542, P335, DOI 10.1038/nature21399
Sorokin Y.I., 2002, BIO INL WAT
SPINRAD RW, 1989, DEEP-SEA RES, V36, P715, DOI 10.1016/0198-0149(89)90147-7
Stanev EV, 2018, GEOPHYS RES LETT, V45, P864, DOI 10.1002/2017GL076206
Vassilev Stanev E, 2017, OCEAN DYNAM, V67, P1119, DOI 10.1007/s10236-017-1077-9
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Stramski D, 2004, PROG OCEANOGR, V61, P27, DOI 10.1016/j.pocean.2004.07.001
Stramski D, 1999, SCIENCE, V285, P239, DOI 10.1126/science.285.5425.239
Stumm W., 1970, Aquatic chemistry; an introduction emphasizing chemical equilibria in natural waters
Thierry V., 2018, ARGODATA MANAGEMENT, DOI [10.13155/46542, DOI 10.13155/46542]
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tutasi P, 2020, BIOGEOSCIENCES, V17, P455, DOI 10.5194/bg-17-455-2020
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Wang WL, 2019, NATURE, V566, P205, DOI 10.1038/s41586-019-0911-2
Ward BB, 2009, NATURE, V461, P78, DOI 10.1038/nature08276
Ward B. B., 1991, BLACK SEA OCEANOGRAP, P111, DOI 10.1007/978-94-011-2608-3_7
Ward BB, 2013, SCIENCE, V341, P352, DOI 10.1126/science.1240314
Ward BB, 2008, DEEP-SEA RES PT I, V55, P1672, DOI 10.1016/j.dsr.2008.07.005
Whitmire AL, 2009, OPT EXPRESS, V17, P21992, DOI 10.1364/OE.17.021992
Wojtasiewicz B, 2020, J MARINE SYST, V207, DOI 10.1016/j.jmarsys.2018.07.002
Yakushev EV, 2007, MAR CHEM, V107, P388, DOI 10.1016/j.marchem.2007.06.003
Yilmaz A, 2006, DEEP-SEA RES PT II, V53, P1988, DOI 10.1016/j.dsr2.2006.03.015
NR 98
TC 7
Z9 7
PD DEC 23
PY 2020
VL 17
IS 24
BP 6491
EP 6505
DI 10.5194/bg-17-6491-2020
UT WOS:000603350700001
DA 2025-07-30
ER
PT J
AU Ferrera, I
Arístegui, J
González, JM
Montero, MF
Fraile-Nuez, E
Gasol, JM
AF Ferrera, Isabel
Aristegui, Javier
Gonzalez, Jose M.
Montero, Maria F.
Fraile-Nuez, Eugenio
Gasol, Josep M.
TI Transient Changes in Bacterioplankton Communities Induced by the
Submarine Volcanic Eruption of El Hierro (Canary Islands)
SO PLOS ONE
DT Article
AB The submarine volcanic eruption occurring near El Hierro (Canary Islands) in October 2011 provided a unique opportunity to determine the effects of such events on the microbial populations of the surrounding waters. The birth of a new underwater volcano produced a large plume of vent material detectable from space that led to abrupt changes in the physicalchemical properties of the water column. We combined flow cytometry and 454-pyrosequencing of 16S rRNA gene amplicons (V1-V3 regions for Bacteria and V3-V5 for Archaea) to monitor the area around the volcano through the eruptive and post-eruptive phases (November 2011 to April 2012). Flow cytometric analyses revealed higher abundance and relative activity (expressed as a percentage of high-nucleic acid content cells) of heterotrophic prokaryotes during the eruptive process as compared to post-eruptive stages. Changes observed in populations detectable by flow cytometry were more evident at depths closer to the volcano (similar to 70-200 m), coinciding also with oxygen depletion. Alpha-diversity analyses revealed that species richness (Chao1 index) decreased during the eruptive phase; however, no dramatic changes in community composition were observed. The most abundant taxa during the eruptive phase were similar to those in the post-eruptive stages and to those typically prevalent in oceanic bacterioplankton communities (i.e. the alphaproteobacterial SAR11 group, the Flavobacteriia class of the Bacteroidetes and certain groups of Gammaproteobacteria). Yet, although at low abundance, we also detected the presence of taxa not typically found in bacterioplankton communities such as the Epsilonproteobacteria and members of the candidate division ZB3, particularly during the eruptive stage. These groups are often associated with deep-sea hydrothermal vents or sulfur-rich springs. Both cytometric and sequence analyses showed that once the eruption ceased, evidences of the volcano-induced changes were no longer observed.
C1 [Ferrera, Isabel; Gasol, Josep M.] CSIC, Inst Ciencias Mar, Dept Biol Marina & Oceanog, Barcelona, Spain.
[Aristegui, Javier; Montero, Maria F.] Univ Las Palmas Gran Canaria, Inst Oceanog & Cambio Global, Las Palmas Gran Canaria, Spain.
[Gonzalez, Jose M.] Univ La Laguna, Dept Microbiol, E-38207 San Cristobal la Laguna, Spain.
[Fraile-Nuez, Eugenio] Ctr Oceanog Canarias, Inst Espanol Oceanog, Santa Cruz De Tenerife, Spain.
RP Ferrera, I (corresponding author), CSIC, Inst Ciencias Mar, Dept Biol Marina & Oceanog, Barcelona, Spain.
EM iferrera@icm.csic.es
CR Alves N, 2015, ARCH MICROBIOL, V197, P165, DOI 10.1007/s00203-014-1035-6
Arístegui J, 2001, SCI MAR, V65, P51, DOI 10.3989/scimar.2001.65s151
Ariza A, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102354
Baker E.T., 1995, GEOPHYSICAL MONOGRAPH-AM ERICAN GEOPHYSICAL UNION, V91, P47, DOI [10.1029/GM091p0047, DOI 10.1029/GM091P0047]
Baltar F, 2012, APPL ENVIRON MICROB, V78, P3309, DOI 10.1128/AEM.07962-11
Campbell BJ, 2006, NAT REV MICROBIOL, V4, P458, DOI 10.1038/nrmicro1414
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carracedo J.-C., 2012, Eos, Transact. America Geophys. Union, V93, P89, DOI [DOI 10.1029/2012EO090002, 10.1029/2012EO090002]
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Dowd SF, 2008, FOODBORNE PATHOG DIS, V5, P459, DOI 10.1089/fpd.2008.0107
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Elshahed MS, 2003, APPL ENVIRON MICROB, V69, P5609, DOI 10.1128/AEM.69.9.5609-5621.2003
Eugenio F, 2014, INT J APPL EARTH OBS, V29, P53, DOI 10.1016/j.jag.2013.12.009
Ferrera I, 2007, ELS, DOI [10.1002/9780470015902.a0000406, DOI 10.1002/9780470015902.A0000406]
Ferrera I, 2014, SYST APPL MICROBIOL, V37, P442, DOI 10.1016/j.syapm.2014.04.002
Flores GE, 2012, GEOBIOLOGY, V10, P333, DOI 10.1111/j.1472-4669.2012.00325.x
Flores GE, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00047
Flores GE, 2011, ENVIRON MICROBIOL, V13, P2158, DOI 10.1111/j.1462-2920.2011.02463.x
Fraile-Nuez E, 2012, SCI REP-UK, V2, DOI 10.1038/srep00486
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2002, LIMNOL OCEANOGR, V47, P62, DOI 10.4319/lo.2002.47.1.0062
Haas BJ, 2011, GENOME RES, V21, P494, DOI 10.1101/gr.112730.110
Kunin V, 2010, ENVIRON MICROBIOL, V12, P118, DOI 10.1111/j.1462-2920.2009.02051.x
Lundin D, 2012, ENV MICROBIOL REP, V4, P367, DOI 10.1111/j.1758-2229.2012.00345.x
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Oksanen J., 2010, Vegan: Community ecology package
Pagé A, 2008, ENVIRON MICROBIOL, V10, P874, DOI 10.1111/j.1462-2920.2007.01505.x
Pedrós-Alió C, 2007, SCIENCE, V315, P192, DOI 10.1126/science.1135933
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Reeder J, 2010, NAT METHODS, V7, P668, DOI 10.1038/nmeth0910-668b
Reysenbach AL, 2000, APPL ENVIRON MICROB, V66, P3798, DOI 10.1128/AEM.66.9.3798-3806.2000
Rivera J, 2013, GEOLOGY, V41, P355, DOI 10.1130/G33863.1
Sánchez O, 2013, MICROB BIOTECHNOL, V6, P435, DOI 10.1111/1751-7915.12052
Santana-Casiano JM, 2013, SCI REP-UK, V3, DOI 10.1038/srep01140
Schloss PD, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008230
Singer E, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00052
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stetter KO, 1996, FEMS MICROBIOL REV, V18, P149, DOI 10.1111/j.1574-6976.1996.tb00233.x
Tivey MK, 2004, GEOPH MONOG SERIES, V144, P137, DOI 10.1029/144GM09
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Von Damm K.L., 1995, SEAFLOOR HYDROTHERMA, V91, P222
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
NR 44
TC 21
Z9 23
PD FEB 11
PY 2015
VL 10
IS 2
AR e0118136
DI 10.1371/journal.pone.0118136
UT WOS:000349545300085
DA 2025-07-30
ER
PT J
AU Mizuno, CM
Rodriguez-Valera, F
Kimes, NE
Ghai, R
AF Megumi Mizuno, Carolina
Rodriguez-Valera, Francisco
Kimes, Nikole E.
Ghai, Rohit
TI Expanding the Marine Virosphere Using Metagenomics
SO PLOS GENETICS
DT Article
AB Viruses infecting prokaryotic cells (phages) are the most abundant entities of the biosphere and contain a largely uncharted wealth of genomic diversity. They play a critical role in the biology of their hosts and in ecosystem functioning at large. The classical approaches studying phages require isolation from a pure culture of the host. Direct sequencing approaches have been hampered by the small amounts of phage DNA present in most natural habitats and the difficulty in applying metaomic approaches, such as annotation of small reads and assembly. Serendipitously, it has been discovered that cellular metagenomes of highly productive ocean waters (the deep chlorophyll maximum) contain significant amounts of viral DNA derived from cells undergoing the lytic cycle. We have taken advantage of this phenomenon to retrieve metagenomic fosmids containing viral DNA from a Mediterranean deep chlorophyll maximum sample. This method allowed description of complete genomes of 208 new marine phages. The diversity of these genomes was remarkable, contributing 21 genomic groups of tailed bacteriophages of which 10 are completely new. Sequence based methods have allowed host assignment to many of them. These predicted hosts represent a wide variety of important marine prokaryotic microbes like members of SAR11 and SAR116 clades, Cyanobacteria and also the newly described low GC Actinobacteria. A metavirome constructed from the same habitat showed that many of the new phage genomes were abundantly represented. Furthermore, other available metaviromes also indicated that some of the new phages are globally distributed in low to medium latitude ocean waters. The availability of many genomes from the same sample allows a direct approach to viral population genomics confirming the remarkable mosaicism of phage genomes.
C1 [Megumi Mizuno, Carolina; Rodriguez-Valera, Francisco; Kimes, Nikole E.; Ghai, Rohit] Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante, Spain.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Evolutionary Genom Grp, Dept Prod Vegetal & Microbiol, Alicante, Spain.
EM frvalera@umh.es
CR Alperovitch-Lavy A, 2011, ENVIRON MICROBIOL, V13, P24, DOI 10.1111/j.1462-2920.2010.02304.x
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Angly F, 2009, ENVIRON MICROBIOL, V11, P2863, DOI 10.1111/j.1462-2920.2009.02021.x
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
[Anonymous], 1993, PHYLIP: phylogenetic inference package
[Anonymous], ENV MICROBIOLOGY
Barre F.X., 2002, MOBILE DNA-UK, P149
Bateman A, 2002, NUCLEIC ACIDS RES, V30, P276, DOI [10.1093/nar/gkp985, 10.1093/nar/gkr1065, 10.1093/nar/gkh121]
Breitbart M, 2004, FEMS MICROBIOL LETT, V236, P249, DOI 10.1016/j.femsle.2004.05.042
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brum JR, 2013, ISME J, V7, P1738, DOI 10.1038/ismej.2013.67
Casjens SR, 2005, J BACTERIOL, V187, P1091, DOI 10.1128/JB.187.3.1091-1104.2005
Chénard C, 2008, APPL ENVIRON MICROB, V74, P5317, DOI 10.1128/AEM.02480-07
Christaki U, 2011, BIOGEOSCIENCES, V8, P1839, DOI 10.5194/bg-8-1839-2011
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Cuadros-Orellana S, 2007, ISME J, V1, P235, DOI 10.1038/ismej.2007.35
Culley AI, 2006, SCIENCE, V312, P1795, DOI 10.1126/science.1127404
Dean FB, 2001, GENOME RES, V11, P1095, DOI 10.1101/gr.180501
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Duhaime MB, 2012, VIROLOGY, V434, P181, DOI 10.1016/j.virol.2012.09.036
Duhaime MB, 2012, ENVIRON MICROBIOL, V14, P2526, DOI 10.1111/j.1462-2920.2012.02791.x
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Garcia-Heredia I, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0033802
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Gonzaga A, 2012, GENOME BIOL EVOL, V4, P1360, DOI 10.1093/gbe/evs112
Haible D, 2006, J VIROL METHODS, V135, P9, DOI 10.1016/j.jviromet.2006.01.017
Holmfeldt K, 2013, P NATL ACAD SCI USA, V110, P12798, DOI 10.1073/pnas.1305956110
Huang SJ, 2012, ENVIRON MICROBIOL, V14, P540, DOI 10.1111/j.1462-2920.2011.02667.x
Huber KE, 2002, NATURE, V417, P656, DOI 10.1038/nature00782
Hugenholtz P, 1998, J BACTERIOL, V180, P4765, DOI 10.1128/JB.180.18.4765-4774.1998
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Juhala RJ, 2000, J MOL BIOL, V299, P27, DOI 10.1006/jmbi.2000.3729
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Kang I, 2012, J VIROL, V86, P8907, DOI 10.1128/JVI.01327-12
Kim KH, 2008, APPL ENVIRON MICROB, V74, P5975, DOI 10.1128/AEM.01275-08
Kristensen DM, 2011, J BACTERIOL, V193, P1806, DOI 10.1128/JB.01311-10
Kwan T, 2005, P NATL ACAD SCI USA, V102, P5174, DOI 10.1073/pnas.0501140102
Labonte JM, 2013, ISME J, V7, P2169, DOI 10.1038/ismej.2013.110
Labrie SJ, 2013, ENVIRON MICROBIOL, V15, P1356, DOI 10.1111/1462-2920.12053
Lavigne R, 2008, RES MICROBIOL, V159, P406, DOI 10.1016/j.resmic.2008.03.005
Lavigne R, 2009, BMC MICROBIOL, V9, DOI 10.1186/1471-2180-9-224
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Lindell D, 2007, NATURE, V449, P83, DOI 10.1038/nature06130
Maniloff J, 1998, ARCH VIROL, V143, P2051, DOI 10.1007/s007050050442
Mann NH, 2003, NATURE, V424, P741, DOI 10.1038/424741a
McCarthy A, 2010, CHEM BIOL, V17, P675, DOI 10.1016/j.chembiol.2010.07.004
Mizuno CM, 2013, APPL ENVIRON MICROB, V79, P688, DOI 10.1128/AEM.02742-12
Millard A, 2004, P NATL ACAD SCI USA, V101, P11007, DOI 10.1073/pnas.0401478101
MONACO AP, 1994, TRENDS BIOTECHNOL, V12, P280, DOI 10.1016/0167-7799(94)90140-6
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Pasic L, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-570
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rodriguez-Valera Francisco, 2012, F1000Res, V1, P16, DOI 10.12688/f1000research.1-16.v1
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rohwer F, 2002, J BACTERIOL, V184, P4529, DOI 10.1128/JB.184.16.4529-4535.2002
Rohwer F, 2009, ENVIRON MICROBIOL, V11, P2771, DOI 10.1111/j.1462-2920.2009.02101.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Rybniker J, 2010, MOL MICROBIOL, V77, P642, DOI 10.1111/j.1365-2958.2010.07235.x
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sharon I, 2011, ISME J, V5, P1178, DOI 10.1038/ismej.2011.2
Short CM, 2005, APPL ENVIRON MICROB, V71, P480, DOI 10.1128/AEM.71.1.480-486.2005
Siokou-Frangou I, 2010, BIOGEOSCIENCES, V7, P1543, DOI 10.5194/bg-7-1543-2010
Smokvina T, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068731
Söding J, 2005, NUCLEIC ACIDS RES, V33, pW244, DOI 10.1093/nar/gki408
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Sullivan MB, 2006, PLOS BIOL, V4, P1344, DOI 10.1371/journal.pbio.0040234
Sullivan MB, 2009, ENVIRON MICROBIOL, V11, P2935, DOI 10.1111/j.1462-2920.2009.02081.x
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Williamson SJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001456
Williamson SJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042047
Zerbino DR, 2008, GENOME RES, V18, P821, DOI 10.1101/gr.074492.107
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 86
TC 186
Z9 202
PD DEC
PY 2013
VL 9
IS 12
AR e1003987
DI 10.1371/journal.pgen.1003987
UT WOS:000330533300030
DA 2025-07-30
ER
PT J
AU Poretsky, RS
Sun, SL
Mou, XZ
Moran, MA
AF Poretsky, Rachel S.
Sun, Shulei
Mou, Xiaozhen
Moran, Mary Ann
TI Transporter genes expressed by coastal bacterioplankton in response to
dissolved organic carbon
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB P>Coastal ocean bacterioplankton control the flow of dissolved organic carbon (DOC) from terrestrial and oceanic sources into the marine food web, and regulate the release of inorganic carbon to atmospheric and offshore reservoirs. While the fate of the chemically complex coastal DOC reservoir has long been recognized as a critical feature of the global carbon budget, it has been problematic to identify both the compounds that serve as major conduits for carbon flux and the roles of individual bacterioplankton taxa in mediating that flux. Here we analyse random libraries of expressed genes from a coastal bacterial community to identify sequences representing DOC-transporting proteins. Predicted substrates of expressed transporter genes indicated that carboxylic acids, compatible solutes, polyamines and lipids may be key components of the biologically labile DOC pool in coastal waters, in addition to canonical bacterial substrates such as amino acids, oligopeptides and carbohydrates. Half of the expressed DOC transporter sequences in this coastal ocean appeared to originate from just eight taxa: Roseobacter, SAR11, Flavobacteriales and five orders of gamma-Proteobacteria. While all major taxa expressed transporter genes for some DOC components (e.g. amino acids), there were indications of specialization within the bacterioplankton community for others (e.g. carbohydrates, carboxylic acids and polyamines). Experimental manipulations of the natural DOC pool that increased the concentration of phytoplankton- or vascular plant-derived compounds invoked a readily measured response in bacterial transporter gene expression. This highly resolved view of the potential for carbon flux into heterotrophic bacterioplankton cells identifies possible bioreactive components of the coastal DOC pool and highlights differing ecological roles in carbon turnover for the resident bacterial taxa.
C1 [Poretsky, Rachel S.; Sun, Shulei; Mou, Xiaozhen; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Moran, MA (corresponding author), Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
EM mmoran@uga.edu
CR Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Amon RMW, 1996, LIMNOL OCEANOGR, V41, P41, DOI 10.4319/lo.1996.41.1.0041
Benner R., 2002, Biogeochemistry of Marine Dissolved Organic Matter, P5990, DOI DOI 10.1016/B978-012323841-2/50005-1
Bertilsson S, 1998, LIMNOL OCEANOGR, V43, P885, DOI 10.4319/lo.1998.43.5.0885
Cherrier J, 2004, AQUAT MICROB ECOL, V35, P229, DOI 10.3354/ame035229
CHINLEO G, 1990, MAR ECOL PROG SER, V63, P1, DOI 10.3354/meps063001
CHO BH, 1981, P NATL ACAD SCI-BIOL, V78, P3591, DOI 10.1073/pnas.78.6.3591
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Hedges JI, 1997, ORG GEOCHEM, V27, P195, DOI 10.1016/S0146-6380(97)00066-1
HELLEBUST J. A., 1965, LIMNOL OCEANOGR, V10, P192
HOFLE MG, 1984, APPL ENVIRON MICROB, V47, P843
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Ingraham J.L., 1983, GROWTH BACTERIAL CEL
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kirchman D.L., 2003, Aquatic ecosystems: interactivity of dissolved organic matter, P218
KIRCHMAN DL, 1991, NATURE, V352, P612, DOI 10.1038/352612a0
LEE C, 1995, BIOGEOCHEMISTRY, V29, P131
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Meon B, 2001, MAR CHEM, V75, P185, DOI 10.1016/S0304-4203(01)00036-6
Mopper K, 2007, CHEM REV, V107, P419, DOI 10.1021/cr050359b
MORAN MA, 1990, MAR ECOL PROG SER, V62, P161, DOI 10.3354/meps062161
Moran MA, 1997, LIMNOL OCEANOGR, V42, P1307, DOI 10.4319/lo.1997.42.6.1307
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Ogawa H, 2001, SCIENCE, V292, P917, DOI 10.1126/science.1057627
Opsahl S, 1997, NATURE, V386, P480, DOI 10.1038/386480a0
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
PAKULSKI JD, 1986, ESTUAR COAST SHELF S, V22, P385, DOI 10.1016/0272-7714(86)90063-6
Pomeroy L.R., 1981, The ecology of a salt marsh, P39
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Porubsky WP, 2008, ESTUAR COAST, V31, P860, DOI 10.1007/s12237-008-9077-0
Raymond PA, 2000, AQUAT MICROB ECOL, V22, P1, DOI 10.3354/ame022001
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Sleighter RL, 2008, MAR CHEM, V110, P140, DOI 10.1016/j.marchem.2008.04.008
Solana S, 2001, FEBS LETT, V509, P41, DOI 10.1016/S0014-5793(01)03130-1
Thurman EM., 1985, Geochemistry of Natural Waters
WRIGHT RT, 1978, APPL ENVIRON MICROB, V36, P297, DOI 10.1128/AEM.36.2.297-305.1978
Yang YH, 2002, NUCLEIC ACIDS RES, V30, DOI 10.1093/nar/30.4.e15
Zubkov MV, 2008, J PLANKTON RES, V30, P211, DOI 10.1093/plankt/fbm091
NR 41
TC 185
Z9 205
PD MAR
PY 2010
VL 12
IS 3
BP 616
EP 627
DI 10.1111/j.1462-2920.2009.02102.x
UT WOS:000274942300006
DA 2025-07-30
ER
PT J
AU Danhorn, T
Young, CR
DeLong, EF
AF Danhorn, Thomas
Young, Curtis R.
DeLong, Edward F.
TI Comparison of large-insert, small-insert and pyrosequencing libraries
for metagenomic analysis
SO ISME JOURNAL
DT Article
AB The development of DNA sequencing methods for characterizing microbial communities has evolved rapidly over the past decades. To evaluate more traditional, as well as newer methodologies for DNA library preparation and sequencing, we compared fosmid, short-insert shotgun and 454 pyrosequencing libraries prepared from the same metagenomic DNA samples. GC content was elevated in all fosmid libraries, compared with shotgun and 454 libraries. Taxonomic composition of the different libraries suggested that this was caused by a relative underrepresentation of dominant taxonomic groups with low GC content, notably Prochlorales and the SAR11 cluster, in fosmid libraries. While these abundant taxa had a large impact on library representation, we also observed a positive correlation between taxon GC content and fosmid library representation in other low-GC taxa, suggesting a general trend. Analysis of gene category representation in different libraries indicated that the functional composition of a library was largely a reflection of its taxonomic composition, and no additional systematic biases against particular functional categories were detected at the level of sequencing depth in our samples. Another important but less predictable factor influencing the apparent taxonomic and functional library composition was the read length afforded by the different sequencing technologies. Our comparisons and analyses provide a detailed perspective on the influence of library type on the recovery of microbial taxa in metagenomic libraries and underscore the different uses and utilities of more traditional, as well as contemporary 'next-generation' DNA library construction and sequencing technologies for exploring the genomics of the natural microbial world. The ISME Journal (2012) 6, 2056-2066; doi: 10.1038/ismej.2012.35; published online 26 April 2012
C1 [Danhorn, Thomas; Young, Curtis R.; DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
RP DeLong, EF (corresponding author), MIT, Dept Civil & Environm Engn, 48-427 MIT,15 Vassar St, Cambridge, MA 02139 USA.
EM delong@mit.edu
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], BAYSEQ EMPIRICAL BAY
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
DeLong EE, 2005, NAT REV MICROBIOL, V3, P459, DOI 10.1038/nrmicro1158
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Edwards RA, 2006, BMC GENOMICS, V7, DOI 10.1186/1471-2164-7-57
Feingersch R, 2009, ISME J, V3, P1117, DOI 10.1038/ismej.2009.80
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Hardcastle TJ, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-422
He X, 2007, MOL MICROBIOL, V65, P1034, DOI 10.1111/j.1365-2958.2007.05846.x
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Kanehisa M, 2006, NUCLEIC ACIDS RES, V34, pD354, DOI 10.1093/nar/gkj102
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
MacLean D, 2009, NAT REV MICROBIOL, V7, P287, DOI [10.1038/nrmicro2088, 10.1038/nrmicro2122]
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
MEDLIN L, 1988, GENE, V71, P491, DOI 10.1016/0378-1119(88)90066-2
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Pace N.R., 1985, ASM NEWS, V51, P4
Pace NR, 2009, MICROBIOL MOL BIOL R, V73, P565, DOI 10.1128/MMBR.00033-09
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
R Development Core Team, 2021, R: A Language and Environment for Statistical Computing
Rondon MR, 2000, APPL ENVIRON MICROB, V66, P2541, DOI 10.1128/AEM.66.6.2541-2547.2000
SAIKI RK, 1988, SCIENCE, V239, P487, DOI 10.1126/science.2448875
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Sorek R, 2007, SCIENCE, V318, P1449, DOI 10.1126/science.1147112
STAHL DA, 1984, SCIENCE, V224, P409, DOI 10.1126/science.224.4647.409
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
Temperton B, 2009, ISME J, V3, P792, DOI 10.1038/ismej.2009.32
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang LR, 2007, NAT CHEM BIOL, V3, P709, DOI 10.1038/nchembio.2007.39
Wang LR, 2011, P NATL ACAD SCI USA, V108, P2963, DOI 10.1073/pnas.1017261108
Woese CR, 2004, MICROBIOL MOL BIOL R, V68, P173, DOI 10.1128/MMBR.68.2.173-186.2004
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
NR 43
TC 16
Z9 17
PD NOV
PY 2012
VL 6
IS 11
BP 2056
EP 2066
DI 10.1038/ismej.2012.35
UT WOS:000310056400008
DA 2025-07-30
ER
PT J
AU Martinez-Gutierrez, CA
Uyeda, JC
Aylward, FO
AF Martinez-Gutierrez, Carolina A.
Uyeda, Josef C.
Aylward, Frank O.
TI A timeline of bacterial and archaeal diversification in the ocean
SO ELIFE
DT Article
AB Microbial plankton play a central role in marine biogeochemical cycles, but the timing in which abundant lineages diversified into ocean environments remains unclear. Here, we reconstructed the timeline in which major clades of bacteria and archaea colonized the ocean using a high-resolution benchmarked phylogenetic tree that allows for simultaneous and direct comparison of the ages of multiple divergent lineages. Our findings show that the diversification of the most prevalent marine clades spans throughout a period of 2.2 Ga, with most clades colonizing the ocean during the last 800 million years. The oldest clades - SAR202, SAR324, Ca. Marinimicrobia, and Marine Group II - diversified around the time of the Great Oxidation Event, during which oxygen concentration increased but remained at microaerophilic levels throughout the Mid-Proterozoic, consistent with the prevalence of some clades within these groups in oxygen minimum zones today. We found the diversification of the prevalent heterotrophic marine clades SAR11, SAR116, SAR92, SAR86, and Roseobacter as well as the Marine Group I to occur near to the Neoproterozoic Oxygenation Event (0.8-0.4 Ga). The diversification of these clades is concomitant with an overall increase of oxygen and nutrients in the ocean at this time, as well as the diversification of eukaryotic algae, consistent with the previous hypothesis that the diversification of heterotrophic bacteria is linked to the emergence of large eukaryotic phytoplankton. The youngest clades correspond to the widespread phototrophic clades Prochlorococcus, Synechococcus, and Crocosphaera, whose diversification happened after the Phanerozoic Oxidation Event (0.45-0.4 Ga), in which oxygen concentrations had already reached their modern levels in the atmosphere and the ocean. Our work clarifies the timing at which abundant lineages of bacteria and archaea colonized the ocean, thereby providing key insights into the evolutionary history of lineages that comprise the majority of prokaryotic biomass in the modern ocean.
C1 [Martinez-Gutierrez, Carolina A.; Uyeda, Josef C.; Aylward, Frank O.] Virginia Tech, Dept Biol Sci, Blacksburg, VA 24061 USA.
[Aylward, Frank O.] Virginia Tech, Ctr Emerging Zoonot & Arthropod Borne Pathogens, Blacksburg, VA 24061 USA.
RP Martinez-Gutierrez, CA; Aylward, FO (corresponding author), Virginia Tech, Dept Biol Sci, Blacksburg, VA 24061 USA.; Aylward, FO (corresponding author), Virginia Tech, Ctr Emerging Zoonot & Arthropod Borne Pathogens, Blacksburg, VA 24061 USA.
EM cmartinez@vt.edu; faylward@vt.edu
CR Alcott LJ, 2019, SCIENCE, V366, P1333, DOI 10.1126/science.aax6459
Anbar AD, 2002, SCIENCE, V297, P1137, DOI 10.1126/science.1069651
Anbar AD, 2007, SCIENCE, V317, P1903, DOI 10.1126/science.1140325
Bekker A, 2004, NATURE, V427, P117, DOI 10.1038/nature02260
Bergman NM, 2004, AM J SCI, V304, P397, DOI 10.2475/ajs.304.5.397
BERNER RA, 1983, GEOCHIM COSMOCHIM AC, V47, P855, DOI 10.1016/0016-7037(83)90151-5
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Bollback JP, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-88
Brasier MD, 1998, GEOLOGY, V26, P555, DOI 10.1130/0091-7613(1998)026<0555:ABYOES>2.3.CO;2
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Minh BQ, 2013, MOL BIOL EVOL, V30, P1188, DOI 10.1093/molbev/mst024
Butterfield NJ, 2000, PALEOBIOLOGY, V26, P386, DOI 10.1666/0094-8373(2000)026<0386:BPNGNS>2.0.CO;2
Butterfield NJ, 2001, PRECAMBRIAN RES, V111, P235, DOI 10.1016/S0301-9268(01)00162-0
Canfield DE, 2007, SCIENCE, V315, P92, DOI 10.1126/science.1135013
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carolinaamg, 2023, Software Heritage
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
Coleman GA, 2021, SCIENCE, V372, P588, DOI 10.1126/science.abe0511
Crockford PW, 2018, NATURE, V559, P613, DOI 10.1038/s41586-018-0349-y
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Dahl TW, 2020, CHEM GEOL, V547, DOI 10.1016/j.chemgeo.2020.119665
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Dontsova K., 2020, Biogeochemical Cycles: Ecological Drivers and Environmental Impact, DOI [10.1002/9781119413332, DOI 10.1002/9781119413332]
Drummond AJ, 2006, PLOS BIOL, V4, P699, DOI 10.1371/journal.pbio.0040088
Ducklow HW, 2013, ANNU REV MAR SCI, V5, P525, DOI 10.1146/annurev-marine-121211-172331
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Hatzenpichler R, 2012, APPL ENVIRON MICROB, V78, P7501, DOI 10.1128/AEM.01960-12
Hewson I, 2009, ISME J, V3, P618, DOI 10.1038/ismej.2009.8
Hodgskiss MSW, 2019, P NATL ACAD SCI USA, V116, P17207, DOI 10.1073/pnas.1900325116
Hoffman PF, 1998, SCIENCE, V281, P1342, DOI 10.1126/science.281.5381.1342
Holland HD, 2002, GEOCHIM COSMOCHIM AC, V66, P3811, DOI 10.1016/S0016-7037(02)00950-X
Holland HD, 2006, PHILOS T R SOC B, V361, P903, DOI 10.1098/rstb.2006.1838
Kalyaanamoorthy S, 2017, NAT METHODS, V14, P587, DOI [10.1038/nmeth.4285, 10.1038/NMETH.4285]
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Kanehisa M, 2021, NUCLEIC ACIDS RES, V49, pD545, DOI 10.1093/nar/gkaa970
Kanehisa M, 2019, PROTEIN SCI, V28, P1947, DOI 10.1002/pro.3715
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Khademian M, 2021, TRENDS MICROBIOL, V29, P428, DOI 10.1016/j.tim.2020.10.001
Knoll AH, 2006, PHILOS T R SOC B, V361, P1023, DOI 10.1098/rstb.2006.1843
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lartillot N, 2009, BIOINFORMATICS, V25, P2286, DOI 10.1093/bioinformatics/btp368
Lechner M, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-124
Lenton TM, 2016, P NATL ACAD SCI USA, V113, P9704, DOI 10.1073/pnas.1604787113
Lepage T, 2007, MOL BIOL EVOL, V24, P2669, DOI 10.1093/molbev/msm193
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Martinez-Gutierrez CA, 2021, MOL BIOL EVOL, V38, P5514, DOI 10.1093/molbev/msab254
Masip L, 2006, ANTIOXID REDOX SIGN, V8, P753, DOI 10.1089/ars.2006.8.753
Mason OU, 2009, ISME J, V3, P231, DOI 10.1038/ismej.2008.92
McParland EL, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.689306
Montoya JP, 2004, NATURE, V430, P1027, DOI 10.1038/nature02824
Mühlenbruch M, 2018, ENVIRON MICROBIOL, V20, P2671, DOI 10.1111/1462-2920.14302
Nordberg H, 2014, NUCLEIC ACIDS RES, V42, pD26, DOI 10.1093/nar/gkt1069
Och LM, 2012, EARTH-SCI REV, V110, P26, DOI 10.1016/j.earscirev.2011.09.004
Ossa FO, 2019, P NATL ACAD SCI USA, V116, P6647, DOI 10.1073/pnas.1818762116
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Parfrey LW, 2011, P NATL ACAD SCI USA, V108, P13624, DOI 10.1073/pnas.1110633108
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Philippe H, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1000602
Planavsky NJ, 2021, NAT REV EARTH ENV, V2, P123, DOI 10.1038/s43017-020-00116-w
Planavsky NJ, 2014, SCIENCE, V346, P635, DOI 10.1126/science.1258410
Porter S.M., 2004, Paleontological Society Papers, V10, P35, DOI DOI 10.1017/S1089332600002321
Reinhard CT, 2022, ANNU REV MAR SCI, V14, P331, DOI 10.1146/annurev-marine-031721-104005
Ren ML, 2019, ISME J, V13, P2150, DOI 10.1038/s41396-019-0418-8
Revell LJ, 2012, METHODS ECOL EVOL, V3, P217, DOI 10.1111/j.2041-210X.2011.00169.x
Salichos L, 2014, MOL BIOL EVOL, V31, P1261, DOI 10.1093/molbev/msu061
Sánchez-Baracaldo P, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00045
Sánchez-Baracaldo P, 2015, SCI REP-UK, V5, DOI 10.1038/srep17418
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Scott C, 2008, NATURE, V452, P456, DOI 10.1038/nature06811
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shang HT, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28996-0
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Shields-Zhou G., 2011, GSA TODAY, V21, P4, DOI [10.1130/GSATG102A.1, DOI 10.1130/GSATG102A.1]
Sievers F, 2018, PROTEIN SCI, V27, P135, DOI 10.1002/pro.3290
Smith SA, 2012, BIOINFORMATICS, V28, P2689, DOI 10.1093/bioinformatics/bts492
Sperling EA, 2015, NATURE, V523, P451, DOI 10.1038/nature14589
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Swett K., 1994, PALEOBIOLOGY NEOPROT, V27, P1, DOI [10.1111 /j.1502-3931.1994.tb01558.x, DOI 10.1111/J.1502-3931.1994.TB01558.X, 10.1111/j.1502-3931.1994.tb01558.x]
Tang DJ, 2016, PRECAMBRIAN RES, V276, P145, DOI 10.1016/j.precamres.2016.02.005
Thorne JL, 1998, MOL BIOL EVOL, V15, P1647, DOI 10.1093/oxfordjournals.molbev.a025892
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Tostevin R, 2020, INTERFACE FOCUS, V10, DOI 10.1098/rsfs.2019.0137
Ueno Y, 2006, NATURE, V440, P516, DOI 10.1038/nature04584
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Valley JW, 2014, NAT GEOSCI, V7, P219, DOI [10.1038/NGEO2075, 10.1038/ngeo2075]
Vidal G, 1997, PALEOBIOLOGY, V23, P230, DOI 10.1017/S0094837300016808
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
WALTER MR, 1980, NATURE, V284, P443, DOI 10.1038/284443a0
Ward LM, 2016, ORIGINS LIFE EVOL B, V46, P51, DOI 10.1007/s11084-015-9460-3
Wei GY, 2021, EARTH-SCI REV, V214, DOI 10.1016/j.earscirev.2021.103506
Wilson ST, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.118
Yang YY, 2021, MOL BIOL EVOL, V38, P3637, DOI 10.1093/molbev/msab129
Zaikowski L., 2010, ACS Symposium Series, P147, DOI [10.1021/bk-2009-1025, DOI 10.1021/BK-2009-1025]
Zehr JP, 2011, ANNU REV MAR SCI, V3, P197, DOI 10.1146/annurev-marine-120709-142819
Zhang H, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.1956
NR 104
TC 6
Z9 6
PD DEC 7
PY 2023
VL 12
AR RP88268
DI 10.7554/eLife.88268
UT WOS:001134856900001
DA 2025-07-30
ER
PT J
AU Hattenrath-Lehmann, TK
Jankowiak, J
Koch, F
Gobler, CJ
AF Hattenrath-Lehmann, Theresa K.
Jankowiak, Jennifer
Koch, Florian
Gobler, Christopher J.
TI Prokaryotic and eukaryotic microbiomes associated with blooms of the
ichthyotoxic dinoflagellate Cochlodinium (Margalefidinium)
polykrikoides in New York, USA, estuaries
SO PLOS ONE
DT Article
AB While harmful algal blooms caused by the ichthyotoxic dinoflagellate, Cochlodinium (Margalefidinium) polykrikoides, are allelopathic and may have unique associations with bacteria, a comprehensive assessment of the planktonic communities associated with these blooms has been lacking. Here, we used high-throughput amplicon sequencing to assess size fractionated (0.2 and 5 mu m) bacterial (16S) and phytoplankton assemblages (18S) associated with blooms of C. polykrikoides during recurrent blooms in NY, USA. Over a three-year period, samples were collected inside ('patch') and outside ('non-patch') dense accumulations of C. polykrikoides to assess the microbiome associated with these blooms. Eukaryotic plankton communities of blooms had significantly lower diversity than non-bloom samples, and non-bloom samples hosted 30 eukaryotic operational taxonomic units (OTUs) not found within blooms, suggesting they may have been allelopathically excluded from blooms. Differential abundance analyses revealed that C. polykrikoides blooms were significantly enriched in dinoflagellates (p<0.001) and the experimental enrichment of C. polykrikoides led to a significant increase in the relative abundance of eight genera of dinoflagellates but a significant decline in other eukaryotic plankton. Amoebophrya co-dominated both within- and near- C. polykrikoides blooms and was more abundant in bloom patches. The core bacterial microbiome of the >0.2 mu m fraction of blooms was dominated by an uncultured bacterium from the SAR11 clade, while the >5 mu m size fraction was co-dominated by an uncultured bacterium from Rhodobacteraceae and Coraliomargarita. Two bacterial lineages within the >0.2 mu m fraction, as well as the Gammaproteobacterium, Halioglobus, from the >5 mu m fraction were unique to the microbiome of blooms, while there were 154 bacterial OTUs only found in non-bloom waters. Collectively, these findings reveal the unique composition and potential function of eukaryotic and prokaryotic communities associated with C. polykrikoides blooms.
C1 [Hattenrath-Lehmann, Theresa K.; Jankowiak, Jennifer; Koch, Florian; Gobler, Christopher J.] SUNY Stony Brook, Sch Marine & Atmospher Sci, Southampton, NY 11968 USA.
[Jankowiak, Jennifer] New York State Dept Hlth, Wadsworth Ctr, Empire State Plaza, Albany, NY USA.
[Koch, Florian] Helmholtz Zentrum Polar & Meeresforsch, Alfred Wegener Inst, Marine Biogeosci, Bremerhaven, Germany.
RP Gobler, CJ (corresponding author), SUNY Stony Brook, Sch Marine & Atmospher Sci, Southampton, NY 11968 USA.
EM christopher.gobler@stonybrook.edu
CR Anders S, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-10-r106
[Anonymous], 2019, bioRxiv, DOI DOI 10.1101/672295
Barbera P, 2019, SYST BIOL, V68, P365, DOI 10.1093/sysbio/syy054
Borcard D, 2011, USE R, P1, DOI 10.1007/978-1-4419-7976-6
Bowman SEJ, 2008, NAT PROD REP, V25, P1118, DOI 10.1039/b717196j
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Caporaso JG, 2010, BIOINFORMATICS, V26, P266, DOI 10.1093/bioinformatics/btp636
Coats DW, 2002, J PHYCOL, V38, P520, DOI 10.1046/j.1529-8817.2002.t01-1-01200.x
Coats DW, 1996, AQUAT MICROB ECOL, V11, P1, DOI 10.3354/ame011001
Czech L, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217050
de Vargas C, 2015, SCIENCE, V348, DOI 10.1126/science.1261605
Dempster EL, 1999, BIOTECHNIQUES, V27, P66, DOI 10.2144/99271bm13
Doblin MA, 1999, J EXP MAR BIOL ECOL, V236, P33, DOI 10.1016/S0022-0981(98)00193-2
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Fistarol GO, 2003, MAR ECOL PROG SER, V255, P115, DOI 10.3354/meps255115
Garcés E, 2007, AQUAT MICROB ECOL, V46, P55, DOI 10.3354/ame046055
Gobler CJ, 2008, HARMFUL ALGAE, V7, P293, DOI 10.1016/j.hal.2007.12.006
Gobler CJ, 2012, HARMFUL ALGAE, V17, P64, DOI 10.1016/j.hal.2012.03.001
Gobler CJ, 2004, HARMFUL ALGAE, V3, P471, DOI 10.1016/j.hal.2004.06.013
Griffith AW, 2019, P ROY SOC B-BIOL SCI, V286, DOI 10.1098/rspb.2019.0340
Guannel ML, 2011, AQUAT MICROB ECOL, V64, P117, DOI 10.3354/ame01513
Hadziavdic K, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087624
Hasegawa Y, 2007, ENVIRON MICROBIOL, V9, P3108, DOI 10.1111/j.1462-2920.2007.01421.x
Hattenrath-Lehmann TK, 2017, HARMFUL ALGAE, V68, P17, DOI 10.1016/j.hal.2017.07.003
Hattenrath-Lehmann TK, 2016, APPL ENVIRON MICROB, V82, P1114, DOI 10.1128/AEM.03457-15
Hattenrath-Lehmann TK, 2011, HARMFUL ALGAE, V11, P106, DOI 10.1016/j.hal.2011.08.005
Heal KR, 2017, P NATL ACAD SCI USA, V114, P364, DOI 10.1073/pnas.1608462114
Herlemann DPR, 2013, MBIO, V4, DOI 10.1128/mBio.00569-12
Huang SJ, 2012, ISME J, V6, P285, DOI 10.1038/ismej.2011.106
Jankowiak J, 2019, LIMNOLOGY OCEANOGRAP
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Jeong Hae Jin, 2010, Ocean Science Journal, V45, P65, DOI 10.1007/s12601-010-0007-2
Jeong HJ, 2005, AQUAT MICROB ECOL, V41, P131, DOI 10.3354/ame041131
Jeong HJ, 2004, J EUKARYOT MICROBIOL, V51, P563, DOI 10.1111/j.1550-7408.2004.tb00292.x
Jiang XD, 2010, OECOLOGIA, V164, P1133, DOI 10.1007/s00442-010-1744-8
Jiang XD, 2010, LIMNOL OCEANOGR, V55, P1643, DOI 10.4319/lo.2010.55.4.1643
Jousset A, 2017, ISME J, V11, P853, DOI 10.1038/ismej.2016.174
Jung SW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25345-4
Kim CS, 1999, J PLANKTON RES, V21, P2105, DOI 10.1093/plankt/21.11.2105
Kim H.G., 1998, HARMFUL ALGAL BLOOMS
Kim MJ, 2008, J APPL PHYCOL, V20, P1069, DOI 10.1007/s10811-008-9312-x
Kim S, 2014, J EUKARYOT MICROBIOL, V61, P173, DOI 10.1111/jeu.12097
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Klindworth Anna, 2013, Nucleic Acids Res, V41, pe1, DOI 10.1093/nar/gks808
Koch F, 2014, HARMFUL ALGAE, V33, P41, DOI 10.1016/j.hal.2014.01.003
Koch F, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00363
Kudela RM, 2012, HARMFUL ALGAE, V14, P71, DOI 10.1016/j.hal.2011.10.015
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lee BK, 2008, J MICROBIOL, V46, P274, DOI 10.1007/s12275-007-0238-9
Lee Jong-Soo, 1996, Journal of the Korean Fisheries Society, V29, P165
Li JF, 2015, SCI REP-UK, V5, DOI 10.1038/srep15488
Li Z, 2015, J PHYCOL, V51, P204, DOI 10.1111/jpy.12252
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Lindeque PK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0081327
Louca S, 2018, BIOINFORMATICS, V34, P1053, DOI 10.1093/bioinformatics/btx701
MARGALEF RAMON, 1961, INVEST PESQUERA, V18, P33
Marshall Harold G., 2005, Oceanological and Hydrobiological Studies, V34, P35
Matsuoka K, 2008, HARMFUL ALGAE, V7, P261, DOI 10.1016/j.hal.2007.12.002
McMurdie PJ, 2015, BIOINFORMATICS, V31, P282, DOI 10.1093/bioinformatics/btu616
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Metfies K, 2016, OCEAN SCI, V12, P1237, DOI 10.5194/os-12-1237-2016
Mulholland MR, 2009, ESTUAR COAST, V32, P734, DOI 10.1007/s12237-009-9169-5
Nuzzi Robert, 2004, Harmful Algae News, V27, P10
Oh JI, 2011, BIOTECHNOL BIOPROC E, V16, P1124, DOI 10.1007/s12257-011-0232-2
Oliveros J.C., 2007, An interactive tool for comparing lists with Venn's diagrams
Park BS, 2019, HARMFUL ALGAE, V84, P119, DOI 10.1016/j.hal.2019.02.001
Park BS, 2017, MAR ECOL-EVOL PERSP, V38, DOI 10.1111/maec.12474
Park BS, 2015, HARMFUL ALGAE, V48, P44, DOI 10.1016/j.hal.2015.07.004
Park MG, 2013, HARMFUL ALGAE, V30, pS62, DOI 10.1016/j.hal.2013.10.007
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Phlips EJ, 2011, HARMFUL ALGAE, V10, P277, DOI 10.1016/j.hal.2010.11.001
Poulson KL, 2010, MAR ECOL PROG SER, V416, P69, DOI 10.3354/meps08788
Prince EK, 2008, P ROY SOC B-BIOL SCI, V275, P2733, DOI 10.1098/rspb.2008.0760
Rheuban JE, 2016, BIOGEOSCIENCES, V13, P253, DOI 10.5194/bg-13-253-2016
Richlen ML, 2010, HARMFUL ALGAE, V9, P163, DOI 10.1016/j.hal.2009.08.013
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Seong KA, 2006, MAR ECOL PROG SER, V322, P85, DOI 10.3354/meps322085
Shin H, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23634-6
Sison-Mangus MP, 2014, ISME J, V8, P63, DOI 10.1038/ismej.2013.138
Stern R, 2018, J PLANKTON RES, V40, P519, DOI 10.1093/plankt/fby035
Tang YZ, 2012, HARMFUL ALGAE, V20, P71, DOI 10.1016/j.hal.2012.08.001
Tang YZ, 2010, P NATL ACAD SCI USA, V107, P20756, DOI 10.1073/pnas.1009566107
Tang YZ, 2010, MAR ECOL PROG SER, V406, P19, DOI 10.3354/meps08537
Tang YZ, 2009, HARMFUL ALGAE, V8, P454, DOI 10.1016/j.hal.2008.10.001
Thangaraj P, 2017, BIOCHEM SYST ECOL, V70, P29, DOI 10.1016/j.bse.2016.10.021
Tomas CR, 2008, HARMFUL ALGAE, V7, P308, DOI 10.1016/j.hal.2007.12.005
Verity PG, 2010, HARMFUL ALGAE, V9, P144, DOI 10.1016/j.hal.2009.08.009
Weissbach A, 2010, HARMFUL ALGAE, V10, P9, DOI 10.1016/j.hal.2010.05.007
Whyte JNCI, 2001, PHYCOLOGIA, V40, P298, DOI 10.2216/i0031-8884-40-3-298.1
Wichels A, 2004, HELGOLAND MAR RES, V58, P93, DOI 10.1007/s10152-004-0174-6
Xiao X, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0106510
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
Ye YZ, 2009, PLOS COMPUT BIOL, V5, DOI 10.1371/journal.pcbi.1000465
Zhao YG, 2003, J BIOL CHEM, V278, P2356, DOI 10.1074/jbc.M209681200
Zhou J, 2018, FRONTIERS MICROBIOLO, V9
NR 97
TC 21
Z9 22
PD NOV 7
PY 2019
VL 14
IS 11
AR e0223067
DI 10.1371/journal.pone.0223067
UT WOS:000532694400010
DA 2025-07-30
ER
PT J
AU Pushkarev, A
Hevroni, G
Roitman, S
Shim, JG
Choi, A
Jung, KH
Béjà, O
AF Pushkarev, Alina
Hevroni, Gur
Roitman, Sheila
Shim, Jin-gon
Choi, Ahreum
Jung, Kwang-Hwan
Beja, Oded
TI The Use of a Chimeric Rhodopsin Vector for the Detection of New
Proteorhodopsins Based on Color
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Student microbial ecology laboratory courses are often conducted as condensed courses in which theory and wet lab work are combined in a very intensive short time period. In last decades, the study of marine microbial ecology is increasingly reliant on molecular-based methods, and as a result many of the research projects conducted in such courses require sequencing that is often not available on site and may take more time than a typical course allows. In this work, we describe a protocol combining molecular and functional methods for analyzing proteorhodopsins (PRs), with visible results in only 4-5 days that do not rely on sequencing. PRs were discovered in oceanic surface waters two decades ago, and have since been observed in different marine environments and diverse taxa, including the abundant alphaproteobacterial SAR11 group. PR subgroups are currently known to absorb green and blue light, and their distribution was previously explained by prevailing light conditions - green pigments at the surface and blue pigments in deeper waters, as blue light travels deeper in the water column. To detect PR in environmental samples, we created a chimeric plasmid suitable for direct expression of PRs using PCR amplification and functional analysis in Escherichia coli cells. Using this assay, we discovered several exceptional cases of PRs whose phenotypes differed from those predicted based on sequence only, including a previously undescribed yellow-light absorbing PRs. We applied this assay in two 10-days marine microbiology courses and found it to greatly enhance students' laboratory experience, enabling them to gain rapid visual feedback and colorful reward for their work. Furthermore we expect this assay to promote the use of functional assays for the discovery of new rhodopsin variants.
C1 [Pushkarev, Alina; Hevroni, Gur; Roitman, Sheila; Beja, Oded] Technion Israel Inst Technol, Fac Biol, Haifa, Israel.
[Shim, Jin-gon; Choi, Ahreum; Jung, Kwang-Hwan] Sogang Univ, Dept Life Sci, Seoul, South Korea.
[Shim, Jin-gon; Choi, Ahreum; Jung, Kwang-Hwan] Sogang Univ, Inst Biol Interfaces, Seoul, South Korea.
RP Béjà, O (corresponding author), Technion Israel Inst Technol, Fac Biol, Haifa, Israel.
EM beja@tx.technion.ac.il
CR Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Atamna-Ismaeel N, 2010, ISME J, V4, P462, DOI 10.1038/ismej.2009.130
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Beja O., 2013, Encyclopedia of Biodiversity, VSecond, P280
Choi AR, 2013, APPL MICROBIOL BIOT, V97, P819, DOI 10.1007/s00253-012-4452-y
Dereeper A, 2008, NUCLEIC ACIDS RES, V36, pW465, DOI 10.1093/nar/gkn180
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Koh EY, 2010, APPL ENVIRON MICROB, V76, P5918, DOI 10.1128/AEM.00562-10
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
OESTERHELT D, 1971, NATURE-NEW BIOL, V233, P149, DOI 10.1038/newbio233149a0
Philosof A, 2013, ENV MICROBIOL REP, V5, P475, DOI 10.1111/1758-2229.12037
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Pushkarev A, 2016, ISME J, V10, P2331, DOI 10.1038/ismej.2016.7
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sharma AK, 2009, ISME J, V3, P726, DOI 10.1038/ismej.2009.13
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Whelan S, 2001, MOL BIOL EVOL, V18, P691, DOI 10.1093/oxfordjournals.molbev.a003851
Wright J J., 2009, J Vis Exp, V31, pe1352, DOI [DOI 10.3791/, DOI 10.3791/1352]
Yoshitsugu M, 2008, ANGEW CHEM INT EDIT, V47, P3923, DOI 10.1002/anie.200705989
Yutin N, 2012, BIOL DIRECT, V7, DOI 10.1186/1745-6150-7-34
NR 25
TC 16
Z9 16
PD MAR 13
PY 2018
VL 9
AR 439
DI 10.3389/fmicb.2018.00439
UT WOS:000427266100001
DA 2025-07-30
ER
PT J
AU Korlevic, M
Ristova, PP
Garic, R
Amann, R
Orlic, S
AF Korlevic, M.
Ristova, P. Pop
Garic, R.
Amann, R.
Orlic, S.
TI Bacterial Diversity in the South Adriatic Sea during a Strong, Deep
Winter Convection Year
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The South Adriatic Sea is the deepest part of the Adriatic Sea and represents a key area for both the Adriatic Sea and the deep eastern Mediterranean. It has a role in dense water formation for the eastern Mediterranean deep circulation cell, and it represents an entry point for water masses originating from the Ionian Sea. The biodiversity and seasonality of bacterial picoplankton before, during, and after deep winter convection in the oligotrophic South Adriatic waters were assessed by combining comparative 16S rRNA sequence analysis and catalyzed reporter deposition-fluorescence in situ hybridization (CARD-FISH). The picoplankton communities reached their maximum abundance in the spring euphotic zone when the maximum value of the chlorophyll a in response to deep winter convection was recorded. The communities were dominated by Bacteria, while Archaea were a minor constituent. A seasonality of bacterial richness and diversity was observed, with minimum values occurring during the winter convection and spring postconvection periods and maximum values occurring under summer stratified conditions. The SAR11 clade was the main constituent of the bacterial communities and reached the maximum abundance in the euphotic zone in spring after the convection episode. Cyanobacteria were the second most abundant group, and their abundance strongly depended on the convection event, when minimal cyanobacterial abundance was observed. In spring and autumn, the euphotic zone was characterized by Bacteroidetes and Gammaproteobacteria. Bacteroidetes clades NS2b, NS4, and NS5 and the gamma-proteobacterial SAR86 clade were detected to co-occur with phytoplankton blooms. The SAR324, SAR202, and SAR406 clades were present in the deep layer, exhibiting different seasonal variations in abundance. Overall, our data demonstrate that the abundances of particular bacterial clades and the overall bacterial richness and diversity are greatly impacted by strong winter convection.
C1 [Korlevic, M.; Orlic, S.] Rudjer Boskovic Inst, Zagreb, Croatia.
[Ristova, P. Pop] Univ Bremen, MARUM Ctr Marine Environm Sci, D-28359 Bremen, Germany.
[Garic, R.] Univ Dubrovnik, Inst Marine & Coastal Res, Dubrovnik, Croatia.
[Amann, R.] Max Planck Inst Marine Microbiol, Bremen, Germany.
RP Orlic, S (corresponding author), Rudjer Boskovic Inst, Zagreb, Croatia.
EM sandi.orlic@irb.hr
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Azzaro M, 2012, CONT SHELF RES, V44, P106, DOI 10.1016/j.csr.2011.07.011
Batistic M, 2004, J PLANKTON RES, V26, P459, DOI 10.1093/plankt/fbh043
Batistic M, 2012, CONT SHELF RES, V44, P57, DOI 10.1016/j.csr.2011.01.004
Bensi M, 2013, J GEOPHYS RES-OCEANS, V118, P6064, DOI 10.1002/2013JC009432
BRAY JR, 1957, ECOL MONOGR, V27, P326, DOI 10.2307/1942268
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Casey JR, 2013, DEEP-SEA RES PT II, V93, P58, DOI 10.1016/j.dsr2.2013.02.002
Celussi M, 2007, GENE, V406, P113, DOI 10.1016/j.gene.2007.07.010
Celussi M, 2011, FEMS MICROBIOL ECOL, V75, P77, DOI 10.1111/j.1574-6941.2010.00997.x
Cerino F, 2012, CONT SHELF RES, V44, P94, DOI 10.1016/j.csr.2011.06.006
Civitarese G, 2010, BIOGEOSCIENCES, V7, P3987, DOI 10.5194/bg-7-3987-2010
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
De Corte D, 2013, ENV MICROBIOL REP, V5, P272, DOI 10.1111/1758-2229.12013
De Corte D, 2009, ISME J, V3, P147, DOI 10.1038/ismej.2008.94
Díez-Vives C, 2012, MICROB ECOL, V64, P1047, DOI 10.1007/s00248-012-0087-x
Dowd SF, 2008, FOODBORNE PATHOG DIS, V5, P459, DOI 10.1089/fpd.2008.0107
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Gacic M, 2012, CONT SHELF RES, V44, P2, DOI 10.1016/j.csr.2012.02.019
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Ionescu D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038319
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Manti A., 2012, INT J OCEANOGR, DOI [10.1155/2012/909718, DOI 10.1155/2012/909718]
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Mella-Flores D, 2011, BIOGEOSCIENCES, V8, P2785, DOI 10.5194/bg-8-2785-2011
Mihanovic H, 2013, OCEAN SCI, V9, P561, DOI 10.5194/os-9-561-2013
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Najdek M, 2014, BIOGEOSCIENCES, V11, P2645, DOI 10.5194/bg-11-2645-2014
OVCHINNIKOV IM, 1985, OKEANOLOGIYA+, V25, P911
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Piccini C, 2006, APPL ENVIRON MICROB, V72, P6560, DOI 10.1128/AEM.01089-06
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quero GM, 2014, MAR GENOM, V17, P9, DOI 10.1016/j.margen.2014.04.002
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schönhuber W, 1999, APPL ENVIRON MICROB, V65, P1259
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Silovic T, 2012, FEMS MICROBIOL ECOL, V82, P678, DOI 10.1111/j.1574-6941.2012.01438.x
Sintes E, 2013, FEMS MICROBIOL ECOL, V83, P413, DOI 10.1111/1574-6941.12003
Stahl D.A., 1991, Sequencing and Hybridization Techniques in Bacterial Systematics, P205
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tinta T., 2014, ENV MICROBIOL
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Weinbauerr MG, 2013, AQUAT MICROB ECOL, V71, P99, DOI 10.3354/ame01666
Yin Q, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055148
Zor�� M., 1956, Acta Adriat., V8, P1
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
NR 65
TC 38
Z9 39
PD MAR
PY 2015
VL 81
IS 5
BP 1715
EP 1726
DI 10.1128/AEM.03410-14
UT WOS:000349547200020
DA 2025-07-30
ER
PT J
AU Nimnoi, P
Pongsilp, N
AF Nimnoi, Pongrawee
Pongsilp, Neelawan
TI Marine bacterial communities in the upper gulf of Thailand assessed by
Illumina next-generation sequencing platform
SO BMC MICROBIOLOGY
DT Article
AB Background The total bacterial community plays an important role in aquatic ecosystems. In this study, bacterial communities and diversity along the shores of the Upper Gulf of Thailand were first characterized. The association between bacterial communities and types of land use was also evaluated. Results The bacterial communities and diversity of seawater in the Upper Gulf of Thailand, with regard to types of land use, were first revealed by using Illumina next-generation sequencing. A total of 4953 OTUs were observed from all samples in which 554 OTUs were common. The bacterial communities in sampling sites were significantly different from each other. The run-off water from three types of land use significantly affected the community richness and diversity of marine bacteria. Aquaculture sites contained the highest levels of community richness and diversity, followed by mangrove forests and tourist sites. Seawater physicochemical parameters including salinity, turbidity, TSS, total N, and BOD5, were significantly different when grouped by land use. The bacterial communities were mainly determined by salinity, total N, and total P. The species richness estimators and OTUs were positively correlated with turbidity. The top ten most abundant phyla and genera as well as the distribution of bacterial classes were characterized. The Proteobacteria constituted the largest proportions in all sampling sites, ranging between 67.31 and 78.80%. The numbers of the Marinobacterium, Neptuniibacter, Synechococcus, Candidatus Thiobios, hgcI clade (Actinobacteria), and Candidatus Pelagibacter were significantly different when grouped by land use. Conclusions Type of land use significantly affected bacterial communities and diversity along the Upper Gulf of Thailand. Turbidity was the most influential parameter affecting the variation in bacterial community composition. Salinity, total N, and P were the ones of the important factors that shaped the bacterial communities. In addition, the variations of bacterial communities from site-to-site were greater than within-site. The Proteobacteria, Bacteroidetes, Actinobacteria, Cyanobacteria, Verrucomicrobia, Euryarchaeota, Planctomycetes, Firmicutes, Deep Sea DHVEG-6, and Marinimicrobia were the most and common phyla distributed across the Upper Gulf of Thailand.
C1 [Nimnoi, Pongrawee] Kasetsart Univ, Dept Microbiol, Fac Liberal Arts & Sci, Nakhon Pathom, Thailand.
[Pongsilp, Neelawan] Silpakorn Univ, Dept Microbiol, Fac Sci, Nakhon Pathom, Thailand.
RP Pongsilp, N (corresponding author), Silpakorn Univ, Dept Microbiol, Fac Sci, Nakhon Pathom, Thailand.
EM pongsilp_n@su.ac.th
CR [Anonymous], 2012, RESOURCE MAP LAND UT
[Anonymous], 2013, OCEANOGRAPHY GULF TH
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Arumugam R., 2013, LIFE SCI J, V10, P2392
Baltar F, 2016, ISME J, V10, P568, DOI 10.1038/ismej.2015.135
Bokulich NA, 2013, NAT METHODS, V10, P57, DOI [10.1038/NMETH.2276, 10.1038/nmeth.2276]
Campbell AH, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00230
Cao Y, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01829
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chancham C., 2016, Int. J. Renew. Energy Resour., V11, P9
Choi H, 2016, J MICROBIOL BIOTECHN, V26, P883
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Emerenciano M., 2013, Biomass Now- Cultivation and Utilization, DOI [10.5772/53902, DOI 10.5772/53902]
이소연, 2016, [Biomedical Science Letters, 대한의생명과학회지], V22, P150
Haas BJ, 2011, GENOME RES, V21, P494, DOI 10.1101/gr.112730.110
Hamilton MJ, 2010, WATER RES, V44, P5463, DOI 10.1016/j.watres.2010.06.058
Héry M, 2014, FEMS MICROBIOL ECOL, V90, P922, DOI 10.1111/1574-6941.12445
Karbasdehi VN, 2017, J ENVIRON HEALTH SCI, V15, DOI 10.1186/s40201-017-0266-2
Lebaron P, 1999, AQUAT MICROB ECOL, V19, P255, DOI 10.3354/ame019255
Li YY, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00797
Lipps W C., 2018, Standard Methods Committee of the American Public Health Association, American Water Works Association, DOI [10.2105/SMWW.2882.023, DOI 10.2105/SMWW.2882.023]
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Mason OU, 2012, ISME J, V6, P1715, DOI 10.1038/ismej.2012.59
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Poli A, 2017, MICROORGANISMS, V5, DOI 10.3390/microorganisms5020025
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Cleary DFR, 2018, MAR BIODIVERS, V48, P1889, DOI 10.1007/s12526-017-0697-0
Rivers AR, 2013, ISME J, V7, P2315, DOI 10.1038/ismej.2013.129
Salipante SJ, 2014, APPL ENVIRON MICROB, V80, P7583, DOI 10.1128/AEM.02206-14
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Soliman T, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02451
Staley C, 2018, WATER AIR SOIL POLL, V229, DOI 10.1007/s11270-018-3973-0
Suh SS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131633
Terahara T, 2016, GENE, V576, P696, DOI 10.1016/j.gene.2015.10.027
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Wang K, 2017, BIOENGINEERED, V8, P572, DOI 10.1080/21655979.2017.1284711
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wang Y, 2012, APPL ENVIRON MICROB, V78, P8264, DOI 10.1128/AEM.01821-12
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Won NI, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14020130
Wu P, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164082
Yergeau E, 2017, SCI REP-UK, V7, DOI 10.1038/srep42242
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 44
TC 32
Z9 34
PD JAN 23
PY 2020
VL 20
IS 1
AR 19
DI 10.1186/s12866-020-1701-6
UT WOS:000511978700001
DA 2025-07-30
ER
PT J
AU Seo, JH
Kang, I
Yang, SJ
Cho, JC
AF Seo, Ji-Hui
Kang, Ilnam
Yang, Seung-Jo
Cho, Jang-Cheon
TI Characterization of spatial distribution of the bacterial community in
the South Sea of Korea
SO PLOS ONE
DT Article
AB In order to investigate the importance of spatial and environmental factors on the structure and diversity of bacterial communities, high-resolution 16S rRNA gene tag pyrosequencing was applied to bacterial communities in the littoral sea. Seawater samples were prepared from seven different stations in the South Sea of Korea, the marginal sea in the western Pacific Ocean, and were divided into three groups according to distances from the coastline. The majority of 19,860 sequences were affiliated with Alphaproteobacteria (58.2%), Gammaproteobacteria (7.9%), and Bacteroidetes (13.9%). The bacterioplankton community at each station was highly diverse and varied among the samples. Major bacterial lineages showed different niche preferences among three locational groups. Alphaproteobacteria was the most abundant bacterial class, and it harbored the most frequently recorded operational taxonomic units (OTUs) in all sampling stations. However, dominant groups at the order levels showed a clear difference among the samples. The SAR11 clade was more abundant in coastal waters while the Roseobacter clade prevailed at stations far away from the coastline. Furthermore, members of Actinobacteria and Cyanobacteria also exhibited spatial variability. The OM1 clade in Actinobacteria constituted a predominant fraction in coastal samples, but it was essentially absent at the distal stations closer to open ocean. In contrast, Synechococcus was the predominant taxon in the distal samples, accounting for 7.1-19.5%, but was hardly detected in coastal waters, representing less than 0.7%. In Bacteroidetes, NS5 and NS9 groups tended to inhabit coastal waters while the genera Polaribacter and Ulvibacter were more abundant in distal stations. Clustering analysis and principle coordinates analysis based on OTU data indicated that bacterial communities in the studied area were separated into three groups that coincided with locational grouping. Statistical analysis showed that phosphate and dissolved oxygen concentration had a significant influence on the bacterial community composition.
C1 [Seo, Ji-Hui; Kang, Ilnam; Yang, Seung-Jo; Cho, Jang-Cheon] Inha Univ, Dept Biol Sci, Incheon, South Korea.
[Yang, Seung-Jo] Seoul Natl Univ, ChunLab Inc, Seoul, South Korea.
RP Cho, JC (corresponding author), Inha Univ, Dept Biol Sci, Incheon, South Korea.
EM chojc@inha.ac.kr
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
[Anonymous], DEEP SEA RES 2
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Choi Dong Han, 2011, Ocean Science Journal, V46, P265, DOI 10.1007/s12601-011-0020-0
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
DeLong EF, 2005, NATURE, V437, P336, DOI 10.1038/nature04157
Dillon JG, 2009, HYDROBIOLOGIA, V632, P49, DOI 10.1007/s10750-009-9827-4
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fodelianakis S, 2014, APPL ENVIRON MICROB, V80, P3784, DOI 10.1128/AEM.00088-14
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Goodfellow M., 1991, Nucleic acid techniques in bacterial systematics
Humphrey GF., 1997, PHYTOPLANKTON PIGMEN, P616
Jamieson RE, 2012, FEMS MICROBIOL ECOL, V80, P452, DOI 10.1111/j.1574-6941.2012.01313.x
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
Kormas KA, 2006, ENVIRON MICROBIOL, V8, P909, DOI 10.1111/j.1462-2920.2005.00978.x
Legendre P., 1998, NUMERICAL ECOLOGY DE, V2nd
Liu JK, 2015, BRAIN RES, V1610, P1, DOI 10.1016/j.brainres.2015.03.044
Llobet-Brossa E, 1998, APPL ENVIRON MICROB, V64, P2691
Magurran A.E., 2013, Ecological diversity and its measurement
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Moisan TA, 2010, CONT SHELF RES, V30, P1275, DOI 10.1016/j.csr.2010.04.005
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Nelson CE, 2014, ENVIRON MICROBIOL, V16, P871, DOI 10.1111/1462-2920.12241
Nemergut DR, 2011, ENVIRON MICROBIOL, V13, P135, DOI 10.1111/j.1462-2920.2010.02315.x
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloss PD, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027310
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schloss PD, 2004, MICROBIOL MOL BIOL R, V68, P686, DOI 10.1128/MMBR.68.4.686-691.2004
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Sterner R. W., 2002, ECOLOGICAL STOICHIOM
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Turner S, 1999, J EUKARYOT MICROBIOL, V46, P327, DOI 10.1111/j.1550-7408.1999.tb04612.x
Wang M, 2010, ENVIRON MICROBIOL, V12, P1926, DOI 10.1111/j.1462-2920.2010.02197.x
Wang Y, 2015, INT J ENV RES PUB HE, V12, P5420, DOI 10.3390/ijerph120505420
Wasmund N, 2001, ESTUAR COAST SHELF S, V53, P849, DOI 10.1006/ecss.2001.0828
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 62
TC 15
Z9 16
PD MAR 17
PY 2017
VL 12
IS 3
AR e0174159
DI 10.1371/journal.pone.0174159
UT WOS:000396710300023
DA 2025-07-30
ER
PT J
AU Vipindas, PV
Venkatachalam, S
Jabir, T
Yang, EJ
Jung, JY
Jain, A
Krishnan, KP
AF Vipindas, Puthiya Veettil
Venkatachalam, Siddarthan
Jabir, Thajudeen
Yang, Eun Jin
Jung, Jinyoung
Jain, Anand
Krishnan, Kottekkatu Padinchati
TI Salinity-controlled distribution of prokaryotic communities in the
Arctic sea-ice melt ponds
SO WORLD JOURNAL OF MICROBIOLOGY & BIOTECHNOLOGY
DT Article
AB The thawing of snow and sea ice produces distinctive melt ponds on the surface of the Arctic sea ice, which covers a significant portion of the surface sea ice during summer. Melt-pond salinity impacts heat transfer to the ice below and the melting rate. It is widely known that melt ponds play a significant role in heat fluxes, ice-albedo feedback, and sea-ice energy balance. However, not much attention has been given to the fact that melt ponds also serve as a unique microbial ecosystem where microbial production begins as soon as they are formed. Here, we investigated the role of melt pond salinity in controlling the diversity and distribution of prokaryotic communities using culture-dependent and -independent approaches. The 16 S rRNA gene amplicon based next generation sequencing analysis retrieved a total of 14 bacterial phyla, consisting of 146 genera, in addition to two archaeal phyla. Further, the culture-dependent approaches of the study allowed for the isolation and identification of twenty-four bacterial genera in pure culture. Flavobacterium, Candidatus_Aquiluna, SAR11 clade, Polaribacter, Glaciecola, and Nonlabens were the dominant genera observed in the amplicon analysis. Whereas Actimicrobium, Rhodoglobus, Flavobacterium, and Pseudomonas were dominated in the culturable fraction. Our results also demonstrated that salinity, chlorophyll a, and dissolved organic carbon were the significant environmental variables controlling the prokaryotic community distribution in melt ponds. A significant community shift was observed in melt ponds when the salinity changed with the progression of melting and deepening of ponds. Different communities were found to be dominant in melt ponds with different salinity ranges. It was also observed that melt pond prokaryotic communities significantly differed from the surface ocean microbial community. Our observations suggest that complex prokaryotic communities develop in melt ponds immediately after its formation using dissolved organic carbon generated through primary production in the oligotrophic water.
C1 [Vipindas, Puthiya Veettil; Venkatachalam, Siddarthan; Jabir, Thajudeen; Jain, Anand; Krishnan, Kottekkatu Padinchati] Minist Earth Sci, Natl Ctr Polar & Ocean Res, Arctic Ecol & Biogeochem Div, Vasco Da Gama 403804, Goa, India.
[Yang, Eun Jin; Jung, Jinyoung] Korea Polar Res Inst, Div Polar Ocean Sci, 26 Songdo Dong, Incheon 21990, South Korea.
RP Vipindas, PV (corresponding author), Minist Earth Sci, Natl Ctr Polar & Ocean Res, Arctic Ecol & Biogeochem Div, Vasco Da Gama 403804, Goa, India.
EM bindas.vipi@gmail.com
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Akulava V, 2022, BIOLOGY-BASEL, V11, DOI 10.3390/biology11081143
Ambrose WG, 2005, POLAR BIOL, V28, P784, DOI 10.1007/s00300-005-0002-8
[Anonymous], 2014, Bacterial diversity in sea ice, melt ponds, water column, ice algal aggregates and deep-sea sediments of the Central Arctic Ocean
Archer SDJ, 2016, POLAR BIOL, V39, P267, DOI 10.1007/s00300-015-1780-2
Archer SDJ, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00485
Ausubel F.M., 1992, N Y, V275, P28764, DOI [10.5936/csbj.201401001, DOI 10.5936/CSBJ.201401001]
Avci B, 2020, ISME J, V14, P1369, DOI 10.1038/s41396-020-0601-y
Boetius A, 2022, Front Microbiol, V12, P1
Bowman JP, 1998, INT J SYST BACTERIOL, V48, P1213, DOI 10.1099/00207713-48-4-1213
Brinkmeyer R, 2004, LIMNOL OCEANOGR, V49, P1013, DOI 10.4319/lo.2004.49.4.1013
Chen ML, 2018, SCI TOTAL ENVIRON, V639, P624, DOI 10.1016/j.scitotenv.2018.05.205
Choi TH, 2007, INT J SYST EVOL MICR, V57, P2922, DOI 10.1099/ijs.0.65265-0
Chong J, 2020, NAT PROTOC, V15, P799, DOI 10.1038/s41596-019-0264-1
Comiso JC, 2012, J CLIMATE, V25, P1176, DOI 10.1175/JCLI-D-11-00113.1
Diamond R, 2021, CRYOSPHERE, V15, P5099, DOI 10.5194/tc-15-5099-2021
Douglas GM, 2020, NAT BIOTECHNOL, V38, P685, DOI 10.1038/s41587-020-0548-6
Eicken H, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2003JC001989
Eronen-Rasimus E, 2016, ENV MICROBIOL REP, V8, P527, DOI 10.1111/1758-2229.12428
Fernández-Méndez M, 2015, BIOGEOSCIENCES, V12, P3525, DOI 10.5194/bg-12-3525-2015
Fernández-Méndez M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01884
Fetterer F, 1998, J GEOPHYS RES-OCEANS, V103, P24821, DOI 10.1029/98JC02034
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galgani L, 2016, SCI REP-UK, V6, DOI 10.1038/srep29465
Gawor J, 2016, EXTREMOPHILES, V20, P403, DOI 10.1007/s00792-016-0831-0
Geilfus NX, 2015, BIOGEOSCIENCES, V12, P2047, DOI 10.5194/bg-12-2047-2015
Giebel HA, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz050
Gifford SM, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.575194
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gordon L., 1993, METHODS MANUAL WHPO, V68/91, P1
Gosink JJ, 1998, INT J SYST BACTERIOL, V48, P223, DOI 10.1099/00207713-48-1-223
Gradinger R, 2003, Encyclopedia of environmental microbiology
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P112, DOI 10.1099/ijs.0.001743-0
Hahnke RL, 2015, ENVIRON MICROBIOL, V17, P3515, DOI 10.1111/1462-2920.12479
Han D, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0086887
Hatam I, 2016, ISME J, V10, P2543, DOI 10.1038/ismej.2016.4
Hatam I, 2014, FEMS MICROBIOL ECOL, V90, P115, DOI 10.1111/1574-6941.12377
Heberle H, 2015, BMC BIOINFORMATICS, V16, DOI 10.1186/s12859-015-0611-3
Inoue J, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004182
Joint I, 2010, MICROB BIOTECHNOL, V3, P564, DOI 10.1111/j.1751-7915.2010.00188.x
Jung JY, 2022, J GEOPHYS RES-OCEANS, V127, DOI 10.1029/2021JC017718
Jung J, 2020, ATMOS CHEM PHYS, V20, P5405, DOI 10.5194/acp-20-5405-2020
Jung SW, 2010, J MICROBIOL, V48, P594, DOI 10.1007/s12275-010-0199-2
Kang I, 2012, Am Soc Microbiol
Kenzaka T, 1998, MICROBIOL-UK, V144, P2085, DOI 10.1099/00221287-144-8-2085
Kim J, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11010019
Kolmakova OV, 2014, FEMS MICROBIOL ECOL, V89, P442, DOI 10.1111/1574-6941.12355
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Kwok R, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae3ec
Lambo AJ, 2006, CURR MICROBIOL, V53, P48, DOI 10.1007/s00284-005-0194-8
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Lee J, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-53427-4
Lee SH, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007717
Lee SH, 2011, OCEANOGRAPHY, V24, P302, DOI 10.5670/oceanog.2011.81
Liu JP, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/5/054017
Liu SB, 2013, APPL ENVIRON MICROB, V79, P224, DOI 10.1128/AEM.01801-12
Manz W, 1999, MICROB ECOL, V37, P225, DOI 10.1007/s002489900148
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
Maslanik JA, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL032043
Mundy CJ, 2011, POLAR BIOL, V34, P1869, DOI 10.1007/s00300-011-0998-x
Netzer R, 2018, MAR POLLUT BULL, V135, P759, DOI 10.1016/j.marpolbul.2018.07.074
Nicolaus M, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053738
Papale M, 2017, MAR POLLUT BULL, V114, P849, DOI 10.1016/j.marpolbul.2016.11.011
Peeb A, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10020328
Perovich DK, 2009, ANNU REV MAR SCI, V1, P417, DOI 10.1146/annurev.marine.010908.163805
Piontek J, 2021, LIMNOL OCEANOGR, V66, pS343, DOI 10.1002/lno.11639
Pitt A, 2021, INT J SYST EVOL MICR, V71, DOI 10.1099/ijsem.0.004825
Qin QL, 2022, ENVIRON MICROBIOL, V24, P98, DOI 10.1111/1462-2920.15870
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Rosel A, 2013, Detection of melt ponds on Arctic Sea Ice with optical satellite data
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Serreze MC, 2000, CLIMATIC CHANGE, V46, P159, DOI 10.1023/A:1005504031923
Sizova M, 2007, INT J SYST EVOL MICR, V57, P616, DOI 10.1099/ijs.0.64350-0
Sorensen HL, 2017, POLAR BIOL, V40, P1593, DOI 10.1007/s00300-017-2082-7
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Takahashi S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105592
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Underwood GJC, 2019, NAT CLIM CHANGE, V9, P170, DOI 10.1038/s41558-018-0391-7
Vipindas PV, 2023, EXTREMOPHILES, V27, DOI 10.1007/s00792-023-01310-6
Vipindas PV, 2023, MICROB ECOL, V85, P1150, DOI 10.1007/s00248-022-01992-z
von Scheibner Markus, 2017, Front Microbiol, V8, P27, DOI 10.3389/fmicb.2017.00027
WEISSE T, 1990, LIMNOL OCEANOGR, V35, P781, DOI 10.4319/lo.1990.35.4.0781
West NJ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00234
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Xu DP, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01170
Yackel JJ, 2000, J GEOPHYS RES-OCEANS, V105, P22049, DOI 10.1029/2000JC900075
Yang A., 2012, J EXP MICROBIOL IMMU, V16, P85
Yoon SH, 2017, INT J SYST EVOL MICR, V67, P1613, DOI 10.1099/ijsem.0.001755
Zeng YX, 2013, ACTA OCEANOL SIN, V32, P66, DOI 10.1007/s13131-013-0271-y
Zhang TZ, 2019, J OCEAN U CHINA, V18, P573, DOI 10.1007/s11802-019-3871-0
NR 93
TC 1
Z9 1
PD JAN
PY 2024
VL 40
IS 1
AR 25
DI 10.1007/s11274-023-03850-7
UT WOS:001115493200012
DA 2025-07-30
ER
PT J
AU Namsaraev, Z
Kozlova, A
Tuzov, F
Krylova, A
Izotova, A
Makarov, I
Bezgreshnov, A
Melnikova, A
Trofimova, A
Kuzmin, D
Patrushev, M
Toshchakov, S
AF Namsaraev, Zorigto
Kozlova, Aleksandra
Tuzov, Fedor
Krylova, Anastasia
Izotova, Anna
Makarov, Ivan
Bezgreshnov, Andrei
Melnikova, Anna
Trofimova, Anna
Kuzmin, Denis
Patrushev, Maksim
Toshchakov, Stepan
TI Biogeographic Analysis Suggests Two Types of Planktonic Prokaryote
Communities in the Barents Sea
SO BIOLOGY-BASEL
DT Article
AB Simple Summary Of all the Arctic seas, the prokaryotic communities of the Barents Sea are the most affected by climate change and are strongly influenced by microbiota from the Atlantic Ocean. Using 16S metabarcoding, we analyzed samples of prokaryotic plankton communities in the Barents Sea and found two types of communities. The origin of these communities is discussed in terms of biogeography.Abstract The Barents Sea is one of the most rapidly changing Arctic regions, with an unprecedented sea ice decline and increase in water temperature and salinity. We have studied the diversity of prokaryotic communities using 16S metabarcoding in the western and northeastern parts of the Barents Sea along the Kola Section and the section from Novaya Zemlya to Franz Joseph Land. The hypothesis-independent clustering method revealed the existence of two distinct types of communities. The most common prokaryotic taxa were shared between two types of communities, but their relative abundance was different. It was found that the geographic location of the sampling sites explained more than 30% of the difference between communities, while no statistically significant correlation between environmental parameters and community composition was found. The representatives of the Psychrobacter, Sulfitobacter and Polaribacter genera were dominant in samples from both types of communities. The first type of community was also dominated by members of Halomonas, Pseudoalteromonas, Planococcaceae and an unclassified representative of the Alteromonadaceae family. The second type of community also had a significant proportion of Nitrincolaceae, SAR92, SAR11 Clade I, NS9, Cryomorphaceae and SUP05 representatives. The origin of these communities can be explained by the influence of environmental factors or by the different origins of water masses. This research highlights the importance of studying biogeographic patterns in the Barents Sea in comparison with those in the North Atlantic and Arctic Ocean prokaryote communities.
C1 [Namsaraev, Zorigto; Kozlova, Aleksandra; Krylova, Anastasia; Izotova, Anna; Melnikova, Anna; Patrushev, Maksim; Toshchakov, Stepan] Kurchatov Inst, Natl Res Ctr, Kurchatov Ctr Genome Res, Moscow 123182, Russia.
[Namsaraev, Zorigto; Kuzmin, Denis] Moscow Inst Phys & Technol, Dolgoprudnyi 141701, Russia.
[Tuzov, Fedor] Lomonosov Moscow State Univ, Fac Geog, Dept Oceanol, Moscow 119991, Russia.
[Tuzov, Fedor] All Russian Res Inst Civil Def & Emergencies, Moscow 121352, Russia.
[Bezgreshnov, Andrei] Arctic & Antarctic Res Inst, St Petersburg 199397, Russia.
[Trofimova, Anna] Northern Arctic Fed Univ, Higher Sch Nat Sci & Technol, Dept Geog & Hydrometeorol, Arkhangelsk 163002, Russia.
RP Namsaraev, Z (corresponding author), Kurchatov Inst, Natl Res Ctr, Kurchatov Ctr Genome Res, Moscow 123182, Russia.; Namsaraev, Z (corresponding author), Moscow Inst Phys & Technol, Dolgoprudnyi 141701, Russia.
EM zorigto@gmail.com
CR Aalto NJ, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.892634
Ahme A, 2023, GENES-BASEL, V14, DOI 10.3390/genes14030623
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Årthun M, 2012, J CLIMATE, V25, P4736, DOI 10.1175/JCLI-D-11-00466.1
Avci B, 2020, ISME J, V14, P1369, DOI 10.1038/s41396-020-0601-y
Bodenhofer U, 2015, BIOINFORMATICS, V31, P3997, DOI 10.1093/bioinformatics/btv494
Boitsov VD, 2012, ICES J MAR SCI, V69, P833, DOI 10.1093/icesjms/fss075
Bowman J., 2014, PROKARYOTES OTHER MA, P539, DOI [10.1007/978-3-642-38954-2_135, DOI 10.1007/978-3-642-38954-2_135]
Bowman JS, 2012, ISME J, V6, P11, DOI 10.1038/ismej.2011.76
Bowman JP, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 6, THIRD EDITION, P920, DOI 10.1007/0-387-30746-x_35
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carter-Gates M, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76293-x
Celussi M, 2008, FEMS MICROBIOL ECOL, V65, P504, DOI 10.1111/j.1574-6941.2008.00551.x
Chaffron S, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abg1921
Charrad M, 2014, J STAT SOFTW, V61, P1
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Dahlke S, 2017, ADV METEOROL, V2017, DOI 10.1155/2017/4928620
de Sousa AGG, 2019, MICROB ECOL, V78, P388, DOI 10.1007/s00248-018-01314-2
de Wit R, 2006, ENVIRON MICROBIOL, V8, P755, DOI 10.1111/j.1462-2920.2006.01017.x
Descamps S, 2017, GLOBAL CHANGE BIOL, V23, P490, DOI 10.1111/gcb.13381
Dobrovolsky A.D., 1982, Seas of the USSR
Fadeev E, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02776-w
Fadrosh DW, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-6
Fossheim M, 2015, NAT CLIM CHANGE, V5, P673, DOI 10.1038/NCLIMATE2647
Francis B, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00385-y
Gaisin VA, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw012
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Gohl D.M., 2016, Protoc. Exch., DOI DOI 10.1038/PROTEX.2016.030
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Gorrasi S, 2019, J MARINE SYST, V196, P77, DOI 10.1016/j.jmarsys.2019.04.004
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hugerth LW, 2014, APPL ENVIRON MICROB, V80, P5116, DOI 10.1128/AEM.01403-14
Ibarbalz FM, 2023, ELEMENTA-SCI ANTHROP, V11, DOI 10.1525/elementa.2022.00060
Ingvaldsen RB, 2021, NAT REV EARTH ENV, V2, P874, DOI 10.1038/s43017-021-00228-x
Ivanov VV, 2019, IOP C SER EARTH ENV, V231, DOI 10.1088/1755-1315/231/1/012024
Ivanov V. V., 2021, Deep Sea Res. I, V175, P103590, DOI [10.1016/j.dsr.2021.103590, DOI 10.1016/J.DSR.2021.103590]
Ivanov V, 2018, J GEOPHYS RES-OCEANS, V123, P6581, DOI 10.1029/2018JC013995
Joo HM, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.879911
Karcher M., 2003, Siberian River Runoff in the Kara Sea: Characterisation, Quantification, Variability and Environmental Significance, P47
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kohnemann SHE, 2017, J CLIMATE, V30, P8913, DOI [10.1175/jcli-d-16-0693.1, 10.1175/JCLI-D-16-0693.1]
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Lee Z, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003802
Lewis KM, 2020, SCIENCE, V369, P198, DOI 10.1126/science.aay8380
Lind S, 2018, NAT CLIM CHANGE, V8, P634, DOI 10.1038/s41558-018-0205-y
Liu Y, 2019, ENVIRON MICROBIOL, V21, P1452, DOI 10.1111/1462-2920.14579
Lopez-Perez M., 2014, PROKARYOTES, P69, DOI [DOI 10.1007/978-3-642-38922-1_233, 10.1007/978-3-642-38922-1, DOI 10.1007/978-3-642-38922-1]
Lozupone C, 2011, ISME J, V5, P169, DOI 10.1038/ismej.2010.133
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
Maslowski W, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2001JC001039
Médigue C, 2005, GENOME RES, V15, P1325, DOI 10.1101/gr.4126905
Melnikova AA, 2022, MICROBIOLOGY+, V91, P649, DOI 10.1134/S0026261722101027
Merkel AY, 2019, MICROBIOLOGY+, V88, P671, DOI 10.1134/S0026261719060110
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
Moghadam MS, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2445-4
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2022, ANNU REV MAR SCI, V14, P261, DOI 10.1146/annurev-marine-010419-010814
Namsaraev Z, 2023, MICROORGANISMS, V11, DOI 10.3390/microorganisms11020482
Namsaraev Z, 2020, WATER-SUI, V12, DOI 10.3390/w12010285
Onarheim IH, 2018, J CLIMATE, V31, P4917, DOI 10.1175/JCLI-D-17-0427.1
Ozhigin V.K., 2016, Vody Barentseva morya: struktura, tsirkulyatsiya, izmenchivost'
Oziel L, 2016, OCEAN SCI, V12, P169, DOI 10.5194/os-12-169-2016
Park H, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/6/064026
Park JR, 2007, INT J SYST EVOL MICR, V57, P692, DOI 10.1099/ijs.0.64267-0
Polyakov IV, 2017, SCIENCE, V356, P285, DOI 10.1126/science.aai8204
Priest T, 2023, ISME J, V17, P1612, DOI 10.1038/s41396-023-01461-6
QUADFASEL D, 1992, ICES MAR SC, V195, P40
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rapp JZ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01035
Rego A, 2021, MICROB GENOMICS, V7, DOI 10.1099/mgen.0.000731
Renaud G, 2015, BIOINFORMATICS, V31, P770, DOI 10.1093/bioinformatics/btu719
Richter DJ, 2022, ELIFE, V11, DOI 10.7554/eLife.78129
Rigor IG, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL019492
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Schlichtholz P, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-49965-6
Schlitzer R, 2002, COMPUT GEOSCI-UK, V28, P1211, DOI 10.1016/S0098-3004(02)00040-7
Sinha RK, 2017, BRAZ J MICROBIOL, V48, P51, DOI 10.1016/j.bjm.2016.09.011
Sorokin D. Yu, 1995, Mikrobiologiya, V64, P354
Supraha L, 2022, ELEMENTA-SCI ANTHROP, V10, DOI 10.1525/elementa.2021.00117
Tesi T, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abj2946
Thiele S, 2023, FRONT MICROBIOL, V14, DOI 10.3389/fmicb.2023.1213718
Thiele S, 2023, PROG OCEANOGR, V215, DOI 10.1016/j.pocean.2023.103054
Thiele S, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10081618
Thompson AW, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00074-4
Timmermans ML, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2018JC014378
Toshchakov SV, 2021, BIOLOGY-BASEL, V10, DOI 10.3390/biology10121352
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Williamson A, 2016, STAND GENOMIC SCI, V11, DOI 10.1186/s40793-016-0192-4
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
Xue C, 2021, FEMS MICROBIOL ECOL, V97, DOI 10.1093/femsec/fiab120
Yu Y, 2009, POLAR BIOL, V32, P1539, DOI 10.1007/s00300-009-0654-x
Zalogin B. S., 1999, SEAS
Zeng YX, 2007, PROG NAT SCI-MATER, V17, P44
Zheng KY, 2023, MAR LIFE SCI TECH, V5, P271, DOI 10.1007/s42995-022-00160-z
NR 99
TC 2
Z9 2
PD OCT
PY 2023
VL 12
IS 10
AR 1310
DI 10.3390/biology12101310
UT WOS:001092492400001
DA 2025-07-30
ER
PT J
AU Liu, HB
Tan, SJ
Xu, J
Guo, W
Xia, XM
Cheung, SY
AF Liu, Hongbin
Tan, Shangjin
Xu, Jie
Guo, Wang
Xia, Xiaomin
Cheung, Shun Yan
TI Interactive regulations by viruses and dissolved organic matter on the
bacterial community
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Viruses and dissolved organic matter (DOM) are major top-down and bottom-up factors, respectively, which control the abundance and diversity of bacterial communities. However, the relative strength and interaction between these two regulators in different marine ecosystems are not fully understood. We applied viral reduction and cross-transplantation of eutrophic estuarine and pristine coastal waters to examine the separate and combined effects of viruses and DOM on the bacterial community composition. We showed that bacteria were more abundant in the virus-depleted groups, particularly in those from the eutrophic estuarine water (i.e.,>7 times higher, when compared with the virus-rich groups). Cluster analyses showed that the bacterial communities in the virus-rich groups were most similar to the in situ populations. Bacterial community richness, evenness and diversity were reduced at high DOM concentrations but were sustained by viruses. This allowed bacteria that were less vulnerable to viral infection to thrive (such as those in the families Alteromonadaceae, Rhodobacteraceae, Flavobacteriaceae, and SAR11), while suppressing those capable of fast growth at elevated DOM concentrations but which were more vulnerable to viral attack (such as those from the family Vibrionaceae). Our results showed that viral regulation occurring at the strain level can affect the bacterial community structure at higher phylogenetic levels. In addition, some less abundant groups, such as Vibrio and Alteromonas, might actually win the competition for resources, providing viral control is removed. Our results also showed that the population dynamics of certain bacterial groups was controlled by viruses, and the strength of such control was modulated by the concentration of DOM. We suggest that the composition of the bacterial community in aquatic environments results from the interactive regulation by DOM and viruses among other regulators.
C1 [Liu, Hongbin; Tan, Shangjin; Guo, Wang; Xia, Xiaomin; Cheung, Shun Yan] Hong Kong Univ Sci & Technol, Div Life Sci, Kowloon, Hong Kong, Peoples R China.
[Xu, Jie] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China.
RP Liu, HB (corresponding author), Hong Kong Univ Sci & Technol, Div Life Sci, Kowloon, Hong Kong, Peoples R China.
EM liuhb@ust.hk
CR Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Bohannan BJM, 2002, ANTON LEEUW INT J G, V81, P107, DOI 10.1023/A:1020585711378
Bohannan BJM, 2000, AM NAT, V156, P329, DOI 10.1086/303393
Bonilla-Findji O, 2009, APPL ENVIRON MICROB, V75, P4801, DOI 10.1128/AEM.01376-08
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
BuchholzCleven BEE, 1997, SYST APPL MICROBIOL, V20, P301, DOI 10.1016/S0723-2020(97)80077-X
Chen BZ, 2009, MAR ECOL PROG SER, V379, P77, DOI 10.3354/meps07888
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Covert JS, 2001, AQUAT MICROB ECOL, V25, P127, DOI 10.3354/ame025127
Crump BC, 1998, AQUAT MICROB ECOL, V14, P7, DOI 10.3354/ame014007
Darriba D, 2012, NAT METHODS, V9, P772, DOI 10.1038/nmeth.2109
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Eiler A, 2003, APPL ENVIRON MICROB, V69, P3701, DOI 10.1128/AEM.69.7.3701-3709.2003
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Harrison PJ, 2008, CONT SHELF RES, V28, P1405, DOI 10.1016/j.csr.2007.02.011
Heidelberg JF, 2002, APPL ENVIRON MICROB, V68, P5488, DOI 10.1128/AEM.68.11.5488-5497.2002
Hewson I, 2003, MICROB ECOL, V46, P322, DOI 10.1007/s00248-002-1067-3
Hewson I, 2007, DEEP-SEA RES PT I, V54, P811, DOI 10.1016/j.dsr.2007.02.003
Jing HM, 2012, ESTUAR COAST, V35, P976, DOI 10.1007/s12237-012-9504-0
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
KIRCHMAN DL, 1990, MAR ECOL PROG SER, V62, P47, DOI 10.3354/meps062047
Knap A., 1996, PROTOCOLS JOINT GLOB
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Longnecker K, 2010, AQUAT MICROB ECOL, V58, P153, DOI 10.3354/ame01366
Malits A, 2009, AQUAT MICROB ECOL, V54, P243, DOI 10.3354/ame01274
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Martínez-García S, 2013, MAR BIOL RES, V9, P358, DOI 10.1080/17451000.2012.745002
McCune B, 2002, ANALYSIS OF ECOLOGIC
MIddelboe M, 2003, AQUAT MICROB ECOL, V33, P1, DOI 10.3354/ame033001
Middelboe M, 2009, ENVIRON MICROBIOL, V11, P1971, DOI 10.1111/j.1462-2920.2009.01920.x
Motegi C, 2009, LIMNOL OCEANOGR, V54, P1901, DOI 10.4319/lo.2009.54.6.1901
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
MUYZER G, 1993, ENVIRON MICROBIOL, V59, P695
Ovreås L, 2003, AQUAT MICROB ECOL, V31, P109, DOI 10.3354/ame031109
Payet JP, 2013, LIMNOL OCEANOGR, V58, P465, DOI 10.4319/lo.2013.58.2.0465
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Ram ASP, 2010, ENVIRON MICROBIOL, V12, P467, DOI 10.1111/j.1462-2920.2009.02088.x
Ram ASP, 2008, ISME J, V2, P498, DOI 10.1038/ismej.2008.15
Ram ASP, 2014, FRESHWATER BIOL, V59, P1945, DOI 10.1111/fwb.12398
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schloss PD, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027310
Schwalbach MS, 2004, AQUAT MICROB ECOL, V34, P117, DOI 10.3354/ame034117
Sime-Ngando T, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00355
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Strickland J.D.H., 1972, FISH RES BOARD CAN, V167, P71
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Teira E, 2011, MAR ECOL PROG SER, V426, P87, DOI 10.3354/meps09008
Teira E, 2010, AQUAT MICROB ECOL, V60, P299, DOI 10.3354/ame01435
THINGSTAD T., 2008, Bacteriophage Ecology: Population Growth, Evolution, and Impact of Bacterial Viruses (Advances in Molecular and Cellular Microbiology), Vfirst, P251, DOI [DOI 10.1017/CBO9780511541483.013, 10.1017/CBO9780511541483.013]
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Våge S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101415
Vallina SM, 2014, PROG OCEANOGR, V120, P93, DOI 10.1016/j.pocean.2013.08.001
Weinbauer MG, 2007, ENVIRON MICROBIOL, V9, P777, DOI 10.1111/j.1462-2920.2006.01200.x
Weinbauer MG, 2006, MICROB ECOL, V51, P336, DOI 10.1007/s00248-006-9028-x
Weinbauer MG, 2011, J PLANKTON RES, V33, P1465, DOI 10.1093/plankt/fbr041
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Winter C, 2004, APPL ENVIRON MICROB, V70, P804, DOI 10.1128/AEM.70.2.804-813.2004
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Xu J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102490
Xu J, 2013, J GEOPHYS RES-BIOGEO, V118, P1573, DOI 10.1002/2013JG002296
Xu J, 2013, MICROB ECOL, V66, P60, DOI 10.1007/s00248-013-0207-2
Youssef NH, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012414
Zhang R, 2007, ENVIRON MICROBIOL, V9, P3008, DOI 10.1111/j.1462-2920.2007.01410.x
Zhang R, 2013, FEMS MICROBIOL ECOL, V85, P443, DOI 10.1111/1574-6941.12133
NR 68
TC 10
Z9 12
PD NOV
PY 2017
VL 62
SU 1
BP S364
EP S380
DI 10.1002/lno.10612
UT WOS:000415924700024
DA 2025-07-30
ER
PT J
AU Liu, ST
Longnecker, K
Kujawinski, EB
Vergin, K
Bolanos, LM
Giovannoni, SJ
Parsons, R
Opalk, K
Halewood, E
Hansell, DA
Johnson, R
Curry, R
Carlson, CA
AF Liu, Shuting
Longnecker, Krista
Kujawinski, Elizabeth B.
Vergin, Kevin
Bolanos, Luis M.
Giovannoni, Stephen J.
Parsons, Rachel
Opalk, Keri
Halewood, Elisa
Hansell, Dennis A.
Johnson, Rod
Curry, Ruth
Carlson, Craig A.
TI Linkages Among Dissolved Organic Matter Export, Dissolved Metabolites,
and Associated Microbial Community Structure Response in the
Northwestern Sargasso Sea on a Seasonal Scale
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Deep convective mixing of dissolved and suspended organic matter from the surface to depth can represent an important export pathway of the biological carbon pump. The seasonally oligotrophic Sargasso Sea experiences annual winter convective mixing to as deep as 300 m, providing a unique model system to examine dissolved organic matter (DOM) export and its subsequent compositional transformation by microbial oxidation. We analyzed biogeochemical and microbial parameters collected from the northwestern Sargasso Sea, including bulk dissolved organic carbon (DOC), total dissolved amino acids (TDAA), dissolved metabolites, bacterial abundance and production, and bacterial community structure, to assess the fate and compositional transformation of DOM by microbes on a seasonal time-scale in 2016-2017. DOM dynamics at the Bermuda Atlantic Time-series Study site followed a general annual trend of DOC accumulation in the surface during stratified periods followed by downward flux during winter convective mixing. Changes in the amino acid concentrations and compositions provide useful indices of diagenetic alteration of DOM. TDAA concentrations and degradation indices increased in the mesopelagic zone during mixing, indicating the export of a relatively less diagenetically altered (i.e., more labile) DOM. During periods of deep mixing, a unique subset of dissolved metabolites, such as amino acids, vitamins, and benzoic acids, was produced or lost. DOM export and compositional change were accompanied by mesopelagic bacterial growth and response of specific bacterial lineages in the SAR11, SAR202, and SAR86 clades, Acidimicrobiales, and Flavobacteria, during and shortly following deep mixing. Complementary DOM biogeochemistry and microbial measurements revealed seasonal changes in DOM composition and diagenetic state, highlighting microbial alteration of the quantity and quality of DOM in the ocean.
C1 [Liu, Shuting; Opalk, Keri; Halewood, Elisa; Carlson, Craig A.] Univ Calif, Inst Marine Sci, Dept Ecol, Evolut & Marine Biol, Santa Barbara, CA USA.
[Longnecker, Krista; Kujawinski, Elizabeth B.] Dept Marine Chem & Geochem, Woods Hole OceanographicInstitut, Woods Hole, MA USA.
[Vergin, Kevin] Microbial DNA Analyt, Phoenix, OR USA.
[Bolanos, Luis M.] Univ Exeter, Sch Biosci, Exeter, Devon, England.
[Bolanos, Luis M.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR USA.
[Parsons, Rachel; Johnson, Rod; Curry, Ruth] Bermuda Inst Ocean Sci, St Georges, Bermuda.
[Hansell, Dennis A.] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL USA.
RP Liu, ST (corresponding author), Univ Calif, Inst Marine Sci, Dept Ecol, Evolut & Marine Biol, Santa Barbara, CA USA.
EM shutingliu@ucsb.edu
CR Aepfler RF, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz131
Alonso-Sáez L, 2009, J PLANKTON RES, V31, P1373, DOI 10.1093/plankt/fbp081
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Aluwihare LI, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P95, DOI 10.1016/B978-0-12-372522-6.00003-7
Amon RMW, 2001, LIMNOL OCEANOGR, V46, P287, DOI 10.4319/lo.2001.46.2.0287
Anderson MJ, 2006, BIOMETRICS, V62, P245, DOI 10.1111/j.1541-0420.2005.00440.x
[Anonymous], 2012, Curr Protoc Bioinformatics
Arnosti C, 2011, ANNU REV MAR SCI, V3, P401, DOI 10.1146/annurev-marine-120709-142731
Avci B, 2020, ISME J, V14, P1369, DOI 10.1038/s41396-020-0601-y
Averesch NJH, 2018, FRONT BIOENG BIOTECH, V6, DOI 10.3389/fbioe.2018.00032
Avila MA, 2004, INT J BIOCHEM CELL B, V36, P2125, DOI 10.1016/j.biocel.2003.11.016
Baetge N, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.669883
Balmonte JP, 2019, ENVIRON MICROBIOL, V21, P557, DOI 10.1111/1462-2920.14485
Baltar F, 2010, AQUAT MICROB ECOL, V58, P287, DOI 10.3354/ame01377
Båmstedt U, 2016, MAR ECOL PROG SER, V561, P17, DOI 10.3354/meps11907
Baran R, 2010, ANAL CHEM, V82, P9034, DOI 10.1021/ac1020112
Bertrand EM, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00375
Bittig HC, 2018, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00429
Bolaños LM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.624164
Bolaños LM, 2020, ISME J, V14, P1663, DOI 10.1038/s41396-020-0636-0
Boysen AK, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00896-20
Boysen AK, 2018, ANAL CHEM, V90, P1363, DOI 10.1021/acs.analchem.7b04400
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
BURNEY CM, 1982, MAR BIOL, V67, P311, DOI 10.1007/BF00397672
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Cao HL, 2016, SCI REP-UK, V6, DOI 10.1038/srep22842
Caporaso JG, 2012, ISME J, V6, P1089, DOI 10.1038/ismej.2011.162
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson C.A., 2011, SCI 80, P57, DOI DOI 10.1126/SCIENCE.OPMS.SB0001
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, DEEP-SEA RES PT II, V43, P491, DOI 10.1016/0967-0645(95)00101-8
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
CARLSON CA, 1995, DEEP-SEA RES PT II, V42, P639, DOI 10.1016/0967-0645(95)00023-J
CARLSON CA, 1994, NATURE, V371, P405, DOI 10.1038/371405a0
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHO BC, 1988, NATURE, V332, P441, DOI 10.1038/332441a0
CHROST RJ, 1991, BROCK SPR S, P29
COFFIN RB, 1989, LIMNOL OCEANOGR, V34, P531, DOI 10.4319/lo.1989.34.3.0531
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Covert JS, 2001, AQUAT MICROB ECOL, V25, P127, DOI 10.3354/ame025127
COWIE GL, 1994, NATURE, V369, P304, DOI 10.1038/369304a0
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Dadaglio L, 2019, AQUAT MICROB ECOL, V82, P59, DOI 10.3354/ame01883
Dauwe B, 1999, LIMNOL OCEANOGR, V44, P1809, DOI 10.4319/lo.1999.44.7.1809
Davis J, 2009, ORG GEOCHEM, V40, P343, DOI 10.1016/j.orggeochem.2008.12.003
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dittmar T, 2001, GEOCHIM COSMOCHIM AC, V65, P4103, DOI 10.1016/S0016-7037(01)00688-3
Dittmar T, 2008, LIMNOL OCEANOGR-METH, V6, P230, DOI 10.4319/lom.2008.6.230
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Duret MT, 2019, ENV MICROBIOL REP, V11, P386, DOI 10.1111/1758-2229.12692
Durham BP, 2019, NAT MICROBIOL, V4, P1706, DOI 10.1038/s41564-019-0507-5
Fiehn O, 2002, PLANT MOL BIOL, V48, P155, DOI 10.1023/A:1013713905833
Fiore CL, 2015, ENVIRON MICROBIOL, V17, P3949, DOI 10.1111/1462-2920.12899
Fuhrman JA., 2008, MICROBIAL ECOLOGY OC, V2nd, P45, DOI DOI 10.1002/9780470281840.CH3
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Garau B, 2011, J ATMOS OCEAN TECH, V28, P1065, DOI 10.1175/JTECH-D-10-05030.1
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goldberg SJ, 2009, DEEP-SEA RES PT I, V56, P672, DOI 10.1016/j.dsr.2008.12.013
Goldman E., 2008, PRACTICAL HDB MICROB, VSecond
Goto S, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00507
Hansell DA, 2001, DEEP-SEA RES PT II, V48, P1649, DOI 10.1016/S0967-0645(00)00153-3
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Harvey HR, 2006, AQUAT MICROB ECOL, V42, P105, DOI 10.3354/ame042105
Heal KR, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.01334-20
Herrmann KM, 1999, ANNU REV PLANT PHYS, V50, P473, DOI 10.1146/annurev.arplant.50.1.473
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Joglar V, 2021, ENVIRON MICROBIOL, V23, P1559, DOI 10.1111/1462-2920.15367
Johnson W.M., 2021, BIORXIV, P434501, DOI [10.1101/2021.03.09.434501, DOI 10.1101/2021.03.09.434501]
Johnson WM, 2020, LIMNOL OCEANOGR, V65, P111, DOI 10.1002/lno.11255
Johnson WM, 2017, LIMNOL OCEANOGR-METH, V15, P417, DOI 10.1002/lom3.10181
Johnson WM, 2016, ISME J, V10, P2304, DOI 10.1038/ismej.2016.6
Kaiser K, 2009, MAR CHEM, V113, P63, DOI 10.1016/j.marchem.2008.12.004
Kashfi R, 2020, FRONT MOL BIOSCI, V7, DOI 10.3389/fmolb.2020.00023
Keil RG, 1999, AQUAT MICROB ECOL, V18, P293, DOI 10.3354/ame018293
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL., 2000, MICROBIAL ECOLOGY OC, P261
Kitzinger K, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14542-3
Knap A.H., 1997, BATS Methods manual
Koch H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-57526-5
LaBrie R, 2021, LIMNOL OCEANOGR, V66, P575, DOI 10.1002/lno.11624
Landa M, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy034
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lechtenfeld OJ, 2014, GEOCHIM COSMOCHIM AC, V126, P321, DOI 10.1016/j.gca.2013.11.009
LEE C, 1977, LIMNOL OCEANOGR, V22, P502, DOI 10.4319/lo.1977.22.3.0502
Letscher RT, 2015, MAR CHEM, V177, P325, DOI 10.1016/j.marchem.2015.06.024
LINDROTH P, 1979, ANAL CHEM, V51, P1667, DOI 10.1021/ac50047a019
Liu ST, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.580397
Liu ST, 2020, LIMNOL OCEANOGR, V65, P1532, DOI 10.1002/lno.11405
Liu ST, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-019-57189-x
Liu ZF, 2013, MAR CHEM, V157, P67, DOI 10.1016/j.marchem.2013.08.003
Lomas MW, 2013, DEEP-SEA RES PT II, V93, P16, DOI 10.1016/j.dsr2.2013.01.008
Longnecker K, 2015, GEOCHIM COSMOCHIM AC, V171, P39, DOI 10.1016/j.gca.2015.08.014
Longnecker K, 2015, MAR CHEM, V168, P114, DOI 10.1016/j.marchem.2014.11.003
Maki K, 2014, GEOCHIM COSMOCHIM AC, V140, P521, DOI 10.1016/j.gca.2014.05.052
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Medeiros PM, 2015, GEOPHYS RES LETT, V42, P863, DOI 10.1002/2014GL062663
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Melamud E, 2010, ANAL CHEM, V82, P9818, DOI 10.1021/ac1021166
Mena C, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01749
MICHAELS AF, 1994, NATURE, V372, P537, DOI 10.1038/372537a0
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
NAGATA T, 1991, LIMNOL OCEANOGR, V36, P433, DOI 10.4319/lo.1991.36.3.0433
Obernosterer I, 2003, AQUAT MICROB ECOL, V32, P229, DOI 10.3354/ame032229
Oksanen J., 2007, Community Ecology Package, V10, P719
Osterholz H, 2016, ISME J, V10, P1717, DOI 10.1038/ismej.2015.231
Parsons R.T., 1984, A manual of chemical and biological methods for seawater analysis, V1st, P173
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Quigley LNM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00493
Reintjes G, 2020, ENVIRON MICROBIOL, V22, P1884, DOI 10.1111/1462-2920.14971
Reintjes G, 2017, ISME J, V11, P1640, DOI 10.1038/ismej.2017.26
Repeta DJ, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P21, DOI 10.1016/B978-0-12-405940-5.00002-9
Rodríguez J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02926
Romera-Castillo C, 2011, APPL ENVIRON MICROB, V77, P7490, DOI 10.1128/AEM.00200-11
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Saw JHW, 2020, MBIO, V11, DOI 10.1128/mBio.02975-19
Schlitzer R., 2021, OCEAN DATA VIEW VERS
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Shen Y, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-20857-5
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
SIEBURTH JM, 1977, HELGOLAND WISS MEER, V30, P565, DOI 10.1007/BF02207861
Siegel DA, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00022
Skoog A, 1997, LIMNOL OCEANOGR, V42, P1803, DOI 10.4319/lo.1997.42.8.1803
Sleighter RL, 2008, MAR CHEM, V110, P140, DOI 10.1016/j.marchem.2008.04.008
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Soule MCK, 2015, MAR CHEM, V177, P374, DOI 10.1016/j.marchem.2015.06.029
SPRINTALL J, 1992, J GEOPHYS RES-OCEANS, V97, P7305, DOI 10.1029/92JC00407
Steen AD, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00006
Steinberg DK, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P1135, DOI 10.1016/B978-0-12-372522-6.00026-8
Steinberg DK, 2002, DEEP-SEA RES PT I, V49, P1445, DOI 10.1016/S0967-0637(02)00037-7
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Suffridge C, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00011
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tada Y, 2017, J EXP MAR BIOL ECOL, V495, P119, DOI 10.1016/j.jembe.2017.06.006
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Uchida H, 2008, J ATMOS OCEAN TECH, V25, P2271, DOI 10.1175/2008JTECHO549.1
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vorobev A, 2018, ENVIRON MICROBIOL, V20, P3012, DOI 10.1111/1462-2920.14344
Whitaker Douglas, 2014, CRAN
Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3_1
Wilson B, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00095
Wilson DJ, 1998, J IND MICROBIOL BIOT, V20, P299, DOI 10.1038/sj.jim.2900527
Yamaguchi YT, 2017, ORG GEOCHEM, V111, P101, DOI 10.1016/j.orggeochem.2017.04.004
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
NR 159
TC 19
Z9 19
PD MAR 8
PY 2022
VL 13
AR 833252
DI 10.3389/fmicb.2022.833252
UT WOS:000777286700001
DA 2025-07-30
ER
PT J
AU Fourquez, M
Beier, S
Jongmans, E
Hunter, R
Obernosterer, I
AF Fourquez, Marion
Beier, Sara
Jongmans, Elanor
Hunter, Robert
Obernosterer, Ingrid
TI Uptake of Leucine, Chitin, and Iron by Prokaryotic Groups during Spring
Phytoplankton Blooms Induced by Natural Iron Fertilization off Kerguelen
Island (Southern Ocean)
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Iron and carbon are essential for microbial heterotrophic activity, but the bioavailability of these elements is low in surface waters of the Southern Ocean. Whether the access to iron and carbon differs among phylogenetic groups of prokaryotes is barely known. To address this question we used iron ((FeCl3)-Fe-55), and the carbon compounds chitin (H-3-Diacetylchitobiose) and leucine (H-3-leucine) as model substrates in combination with MICRO-CARD-FISH during spring phytoplankton blooms induced by natural iron fertilization off Kerguelen Island (KErguelen Ocean and Plateau compared Study 2 - KEOPS2; October-November 2011). The application of probes at broad phylogenetic levels indicated an overall similar community composition in surface waters at the 8 investigated sites. The relative contributions of the prokaryotic groups to abundance revealed a strong positive relationship with their respective contributions to the leucine-active community (p < 0.0001; r = 0.93). This relationship was much weaker for chitin (p < 0.001; r = 0.51) and absent for iron (p > 0.05; r = 0.26). These results suggest preferential uptake of iron and chitin by some prokaryotic groups. SAR11 and Cytophaga-Flavobacterium-Bacteroides (CFB) were the dominant contributors to the leucine-active community, while CFB and Archaea had the highest contributions to the chitin-active community. By contrast, Gammaproteobacteria, including SAR86, and CFB revealed the highest contributions to the iron-active community. We found several correlations between the group-specific fractions of active cells for a given substrate and most of them included CFB, pointing to the potential importance of microbial interactions for iron and carbon cycling in the Southern Ocean.
C1 [Fourquez, Marion] Univ Tasmania, Antarctic Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas, Australia.
[Fourquez, Marion; Beier, Sara; Jongmans, Elanor; Hunter, Robert; Obernosterer, Ingrid] UPMC Univ Paris 06, Sorbonne Univ, Lab Oceanog Microbienne LOMIC, Observ Oceanol,CNRS, Banyuls Sur Mer, France.
[Beier, Sara] Letbniz Inst Balt Sea Res Warnemunde IOW, Dept Biol Oceanog, Rostock, Germany.
RP Fourquez, M (corresponding author), Univ Tasmania, Antarctic Climate & Ecosyst Cooperat Res Ctr, Hobart, Tas, Australia.; Fourquez, M (corresponding author), UPMC Univ Paris 06, Sorbonne Univ, Lab Oceanog Microbienne LOMIC, Observ Oceanol,CNRS, Banyuls Sur Mer, France.
EM marion.fourquez@gmail.com
CR Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
[Anonymous], 1990, ADV MICROBIAL ECOLOG
Auguet JC, 2008, ENVIRON MICROBIOL, V10, P1080, DOI 10.1111/j.1462-2920.2007.01498.x
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Beier S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00149
Beier S, 2011, LIMNOL OCEANOGR, V56, P1179, DOI 10.4319/lo.2011.56.4.1179
Blain S, 2015, BIOGEOSCIENCES, V12, P623, DOI 10.5194/bg-12-623-2015
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Bowie AR, 2015, BIOGEOSCIENCES, V12, P4421, DOI 10.5194/bg-12-4421-2015
Boyd PW, 2007, SCIENCE, V315, P612, DOI 10.1126/science.1131669
Carlotti F, 2015, BIOGEOSCIENCES, V12, P4543, DOI 10.5194/bg-12-4543-2015
Carlotti F, 2008, DEEP-SEA RES PT II, V55, P720, DOI 10.1016/j.dsr2.2007.12.010
Christaki U, 2014, BIOGEOSCIENCES, V11, P6739, DOI 10.5194/bg-11-6739-2014
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
d'Ovidio F, 2015, BIOGEOSCIENCES, V12, P5567, DOI 10.5194/bg-12-5567-2015
del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, V2nd
Desai DK, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00362
Durham BP, 2015, P NATL ACAD SCI USA, V112, P453, DOI 10.1073/pnas.1413137112
Durkin CA, 2009, EUKARYOT CELL, V8, P1038, DOI 10.1128/EC.00079-09
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Fourquez M, 2015, BIOGEOSCIENCES, V12, P1893, DOI 10.5194/bg-12-1893-2015
Fourquez M, 2014, LIMNOL OCEANOGR, V59, P349, DOI 10.4319/lo.2014.59.2.0349
Fourquez M, 2012, FEMS MICROBIOL LETT, V337, P132, DOI 10.1111/1574-6968.12022
García-Fraga B, 2014, APPL MICROBIOL BIOT, V98, P2133, DOI 10.1007/s00253-013-5124-2
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Granger J, 1999, LIMNOL OCEANOGR, V44, P541, DOI 10.4319/lo.1999.44.3.0541
Guan LL, 2001, APPL ENVIRON MICROB, V67, P1710, DOI 10.1128/AEM.67.4.1710-1717.2001
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Hopkinson BM, 2008, APPL ENVIRON MICROB, V74, P6263, DOI 10.1128/AEM.00964-08
Hopkinson BM, 2012, ENVIRON MICROBIOL, V14, P114, DOI 10.1111/j.1462-2920.2011.02539.x
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kabisch A, 2014, ISME J, V8, P1492, DOI 10.1038/ismej.2014.4
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kirchman DL, 2000, LIMNOL OCEANOGR, V45, P1681, DOI 10.4319/lo.2000.45.8.1681
Kirchman DL, 1999, AQUAT MICROB ECOL, V18, P187, DOI 10.3354/ame018187
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lasbleiz M, 2014, BIOGEOSCIENCES, V11, P5931, DOI 10.5194/bg-11-5931-2014
Lasbleiz M, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw171
Laurenceau-Cornec EC, 2015, BIOGEOSCIENCES, V12, P1007, DOI 10.5194/bg-12-1007-2015
Malits A, 2014, BIOGEOSCIENCES, V11, P6841, DOI 10.5194/bg-11-6841-2014
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
MARTIN JH, 1990, NATURE, V345, P156, DOI 10.1038/345156a0
Martinez JS, 2003, P NATL ACAD SCI USA, V100, P3754, DOI 10.1073/pnas.0637444100
Martinez JS, 2000, SCIENCE, V287, P1245, DOI 10.1126/science.287.5456.1245
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Moeck GS, 1998, MOL MICROBIOL, V28, P675, DOI 10.1046/j.1365-2958.1998.00817.x
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Obernosterer I, 2015, BIOGEOSCIENCES, V12, P1983, DOI 10.5194/bg-12-1983-2015
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Park YH, 2008, DEEP-SEA RES PT II, V55, P566, DOI 10.1016/j.dsr2.2007.12.030
Park YH, 2014, J GEOPHYS RES-OCEANS, V119, P6575, DOI 10.1002/2014JC010061
Pernthaler Annelie, 2007, Methods Mol Biol, V353, P153
Pollard RT, 2009, NATURE, V457, P577, DOI 10.1038/nature07716
Qin W, 2014, P NATL ACAD SCI USA, V111, P12504, DOI 10.1073/pnas.1324115111
Quéroué F, 2015, BIOGEOSCIENCES, V12, P3869, DOI 10.5194/bg-12-3869-2015
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Simon M, 1999, AQUAT MICROB ECOL, V18, P275, DOI 10.3354/ame018275
Smith DP, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010487
Souza CP, 2011, MAR BIOTECHNOL, V13, P823, DOI 10.1007/s10126-011-9388-1
Staufenberger T, 2012, MICROBIOL RES, V167, P262, DOI 10.1016/j.micres.2011.11.001
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Thompson AW, 2011, ISME J, V5, P1580, DOI 10.1038/ismej.2011.49
Tischer K, 2012, SYST APPL MICROBIOL, V35, P526, DOI 10.1016/j.syapm.2012.01.004
Tortell PD, 1996, NATURE, V383, P330, DOI 10.1038/383330a0
Toulza E, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030931
Tremblay L, 2015, BIOGEOSCIENCES, V12, P607, DOI 10.5194/bg-12-607-2015
Trull TW, 2015, BIOGEOSCIENCES, V12, P1029, DOI 10.5194/bg-12-1029-2015
Weaver RS, 2003, AQUAT MICROB ECOL, V31, P227, DOI 10.3354/ame031227
Wietz M, 2015, ENVIRON MICROBIOL, V17, P3822, DOI 10.1111/1462-2920.12842
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
YAMAMOTO S, 1994, J BIOCHEM-TOKYO, V115, P868, DOI 10.1093/oxfordjournals.jbchem.a124432
Zhang Z, 2015, J SOIL SEDIMENT, V15, P1019, DOI 10.1007/s11368-015-1078-6
Zimmerman AE, 2013, ISME J, V7, P1187, DOI 10.1038/ismej.2012.176
Zubkov MV, 2005, AQUAT MICROB ECOL, V40, P241, DOI 10.3354/ame040241
NR 82
TC 11
Z9 11
PY 2016
VL 3
AR 256
DI 10.3389/fmars.2016.00256
UT WOS:000457358000252
DA 2025-07-30
ER
PT J
AU Vinogradov, SN
Tinajero-Trejo, M
Poole, RK
Hoogewijs, D
AF Vinogradov, Serge N.
Tinajero-Trejo, Mariana
Poole, Robert K.
Hoogewijs, David
TI Bacterial and archaeal globins - A revised perspective
SO BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS
DT Article
AB A bioinformatics survey of putative globins in over 2200 bacterial and some 140 archaeal genomes revealed that over half the bacterial and approximately one fifth of archaeal genomes contain genes encoding globins that were classified into three families: the M (myoglobin-like), and S (sensor) families all exhibiting the canonical 3/3 myoglobin fold, and the T family (truncated myoglobin fold). Although the M family comprises 2 subfamilies, flavohemoglobins (FHbs) and single domain globins (SDgbs), the S family encompasses chimeric globin-coupled sensors (GCSs), single domain Pgbs (protoglobins) and SSDgbs (sensor single domain globins). The T family comprises three classes TrHb1s, TrHb2s and TrHb3s, characterized by the abbreviated 2/2 myoglobin fold. The Archaea contain only Pgbs, GCSs and TrHb1s. The smallest globin-bearing genomes are the streamlined genomes (similar to 1.3 Mbp) of the SAR11 clade of alphaproteobacteria and the slightly larger (ca.1.7 Mbp) genomes of Aquificae. The smallest genome with members of all three families is the 23 Mbp genome of the extremophile Methylacidiphilum infernorum (Verrumicrobia). Of the 147 possible combinations of the eight globin subfamilies, only 83 are observed. Although binary combinations are infrequent and ternary combinations are rare, the FHb + TrHb2 combination is the most commonly observed. Of the possible functions of bacterial globins we discuss the two principal - ones nitric oxide detoxification via the NO dioxygenase or denitrosylase activities and the sensing of oxygen concentration in the environmental niche. In only few cases has a physiological role been demonstrated in vivo. This article is part of a Special Issue entitled: Oxygen Binding and Sensing Proteins. (c) 2013 Elsevier B.V. All rights reserved.
C1 [Vinogradov, Serge N.] Wayne State Univ, Sch Med, Dept Biochem & Mol Biol, Detroit, MI 48201 USA.
[Tinajero-Trejo, Mariana; Poole, Robert K.] Univ Sheffield, Dept Mol Biol & Biotechnol, Inst Biol & Biotechnol, Sheffield S10 2TN, S Yorkshire, England.
[Hoogewijs, David] Univ Zurich, Inst Physiol, CH-8057 Zurich, Switzerland.
[Hoogewijs, David] Univ Zurich, Zurich Ctr Integrat Human Physiol, CH-8057 Zurich, Switzerland.
RP Hoogewijs, D (corresponding author), Univ Zurich, Inst Physiol, Winterthurerstr 190, CH-8057 Zurich, Switzerland.
EM david.hoogewijs@access.uzh.ch
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], HEMOGLOBIN RECENT DE
Arai H, 2005, J BACTERIOL, V187, P3960, DOI 10.1128/JB.187.12.3960-3968.2005
Bang IS, 2006, J BIOL CHEM, V281, P28039, DOI 10.1074/jbc.M605174200
Boccara M, 2005, PLANT J, V43, P226, DOI 10.1111/j.1365-313X.2005.02443.x
Bonamore A, 2005, FEBS J, V272, P4189, DOI 10.1111/j.1742-4658.2005.04831.x
Burmester T, 2004, IUBMB LIFE, V56, P703, DOI 10.1080/15216540500037257
Corker H, 2003, J BIOL CHEM, V278, P31584, DOI 10.1074/jbc.M303282200
CRAMM R, 1994, J BIOL CHEM, V269, P7349
Crawford MJ, 1998, J BIOL CHEM, V273, P12543, DOI 10.1074/jbc.273.20.12543
Davies BW, 2011, PLOS PATHOG, V7, DOI 10.1371/journal.ppat.1001295
Tommaso P, 2011, NUCLEIC ACIDS RES, V39, pW13, DOI 10.1093/nar/gkr245
Do CB, 2005, GENOME RES, V15, P330, DOI 10.1101/gr.2821705
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Elvers KT, 2004, J BACTERIOL, V186, P5332, DOI 10.1128/JB.186.16.5332-5341.2004
Ermler U, 1995, EMBO J, V14, P6067, DOI 10.1002/j.1460-2075.1995.tb00297.x
Falzone CJ, 2002, J MOL BIOL, V324, P1015, DOI 10.1016/S0022-2836(02)01093-8
Farrés J, 2005, BIOCHEMISTRY-US, V44, P4125, DOI 10.1021/bi047389d
FAVEY S, 1995, MICROBIOL-UK, V141, P863, DOI 10.1099/13500872-141-4-863
Forrester MT, 2012, FREE RADICAL BIO MED, V53, P1211, DOI 10.1016/j.freeradbiomed.2012.06.038
Forrester MT, 2012, FREE RADICAL BIO MED, V52, P1620, DOI 10.1016/j.freeradbiomed.2012.01.028
Freitas TAK, 2004, P NATL ACAD SCI USA, V101, P6675, DOI 10.1073/pnas.0308657101
Frey AD, 2011, ADV MICROB PHYSIOL, V58, P81, DOI 10.1016/B978-0-12-381043-4.00003-9
Gardner AM, 2002, J BIOL CHEM, V277, P8166, DOI 10.1074/jbc.M110470200
Gardner PR, 2012, SCIENTIFICA, V2012, DOI 10.6064/2012/683729
Gardner PR, 2005, J INORG BIOCHEM, V99, P247, DOI 10.1016/j.jinorgbio.2004.10.003
Gardner PR, 1998, P NATL ACAD SCI USA, V95, P10378, DOI 10.1073/pnas.95.18.10378
Gardner PR, 1998, J BIOL CHEM, V273, P26528, DOI 10.1074/jbc.273.41.26528
Giangiacomo L, 2005, J BIOL CHEM, V280, P9192, DOI 10.1074/jbc.M407267200
Gilberthorpe NJ, 2008, J BIOL CHEM, V283, P11146, DOI 10.1074/jbc.M708019200
Gilberthorpe NJ, 2007, MICROBIOL-SGM, V153, P1756, DOI 10.1099/mic.0.2006/003731-0
GILLESGONZALEZ MA, 1991, NATURE, V350, P170, DOI 10.1038/350170a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gonçalves VL, 2006, FEBS LETT, V580, P1817, DOI 10.1016/j.febslet.2006.02.039
GONZALESPREVATT V, 1980, J BIOL CHEM, V255, P1478
Gough J, 2001, J MOL BIOL, V313, P903, DOI 10.1006/jmbi.2001.5080
Hausladen A, 2001, P NATL ACAD SCI USA, V98, P10108, DOI 10.1073/pnas.181199698
Hausladen A, 1998, P NATL ACAD SCI USA, V95, P14100, DOI 10.1073/pnas.95.24.14100
Hausladen A, 2012, FREE RADICAL BIO MED, V53, P1209, DOI 10.1016/j.freeradbiomed.2012.06.033
Hernández-Urzúa E, 2003, J BIOL CHEM, V278, P34975, DOI 10.1074/jbc.M303629200
Hill DR, 1996, J BACTERIOL, V178, P6587, DOI 10.1128/jb.178.22.6587-6598.1996
Hoogewijs D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031856
Hoogewijs D, 2012, MOL BIOL EVOL, V29, P1105, DOI 10.1093/molbev/msr246
Hou SB, 2001, P NATL ACAD SCI USA, V98, P9353, DOI 10.1073/pnas.161185598
Hou SB, 2000, NATURE, V403, P540, DOI 10.1038/35000570
Hoy JA, 2004, J BIOL CHEM, V279, P16535, DOI 10.1074/jbc.M313707200
Ilari A, 2002, J BIOL CHEM, V277, P23725, DOI 10.1074/jbc.M202228200
Ilari A, 2007, ARCH BIOCHEM BIOPHYS, V457, P85, DOI 10.1016/j.abb.2006.09.033
JAKOB W, 1992, ARCH BIOCHEM BIOPHYS, V292, P29, DOI 10.1016/0003-9861(92)90046-Y
Justino MC, 2005, J BIOL CHEM, V280, P2636, DOI 10.1074/jbc.M411070200
Katoh K, 2005, NUCLEIC ACIDS RES, V33, P511, DOI 10.1093/nar/gki198
KEILIN D, 1953, NATURE, V172, P451, DOI 10.1038/172451a0
KEILIN D, 1953, NATURE, V172, P390, DOI 10.1038/172390a0
KEILIN D, 1953, NATURE, V172, P393, DOI 10.1038/172393a0
Lapierrel P, 2009, TRENDS GENET, V25, P107, DOI 10.1016/j.tig.2008.12.004
Lassmann T, 2005, NUCLEIC ACIDS RES, V33, P7120, DOI 10.1093/nar/gki1020
Laver JR, 2010, FASEB J, V24, P286, DOI 10.1096/fj.08-128330
Liolios K, 2008, NUCLEIC ACIDS RES, V36, pD475, DOI 10.1093/nar/gkm884
McLean S, 2010, MICROBIOL-SGM, V156, P3556, DOI 10.1099/mic.0.044214-0
Meilhoc E, 2010, MOL PLANT MICROBE IN, V23, P748, DOI 10.1094/MPMI-23-6-0748
Membrillo-Hernández J, 1999, J BIOL CHEM, V274, P748, DOI 10.1074/jbc.274.2.748
Milani M, 2003, P NATL ACAD SCI USA, V100, P5766, DOI 10.1073/pnas.1037676100
Milani M, 2001, EMBO J, V20, P3902, DOI 10.1093/emboj/20.15.3902
Miller MA, 2010, Proceedings of the Gateway Computing Environments Workshop (GCE), P1, DOI [DOI 10.1109/GCE.2010.5676129, 10.1109/GCE.2010.5676129, 10.1787/9789264090279-en, DOI 10.1787/9789264090279-EN]
Mills CE, 2001, BIOCHEM J, V353, P207, DOI 10.1042/0264-6021:3530207
Mora C, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1000606
Morgan XC, 2013, TRENDS GENET, V29, P51, DOI 10.1016/j.tig.2012.09.005
Mowat CG, 2010, ARCH BIOCHEM BIOPHYS, V493, P37, DOI 10.1016/j.abb.2009.10.005
Murray JW, 2005, P NATL ACAD SCI USA, V102, P17320, DOI 10.1073/pnas.0506599102
Nakano MM, 2006, J BACTERIOL, V188, P6415, DOI 10.1128/JB.00557-06
Nardini M, 2008, EMBO REP, V9, P157, DOI 10.1038/sj.embor.7401153
Nardini M, 2006, J BIOL CHEM, V281, P37803, DOI 10.1074/jbc.M607254200
Nobre LS, 2008, METHOD ENZYMOL, V436, P203, DOI 10.1016/S0076-6879(08)36011-X
Nobre LS, 2010, J BACTERIOL, V192, P1527, DOI 10.1128/JB.01378-09
Nothnagel HJ, 2011, IUBMB LIFE, V63, P197, DOI 10.1002/iub.430
ORII Y, 1977, PLANT CELL PHYSIOL, V18, P521
OSHINO R, 1973, EUR J BIOCHEM, V39, P581, DOI 10.1111/j.1432-1033.1973.tb03157.x
OSHINO R, 1973, EUR J BIOCHEM, V35, P23, DOI 10.1111/j.1432-1033.1973.tb02805.x
Ouellett H, 2002, P NATL ACAD SCI USA, V99, P5902, DOI 10.1073/pnas.092017799
Papadopoulos JS, 2007, BIOINFORMATICS, V23, P1073, DOI 10.1093/bioinformatics/btm076
Park YM, 2011, MICROBIOL IMMUNOL, V55, P743, DOI 10.1111/j.1348-0421.2011.00367.x
Parrilli E, 2010, BIOCHIMIE, V92, P1003, DOI 10.1016/j.biochi.2010.04.018
PERUTZ MF, 1986, NATURE, V322, P405, DOI 10.1038/322405a0
Pesce A, 2000, EMBO J, V19, P2424, DOI 10.1093/emboj/19.11.2424
Pesce A, 2009, J MOL BIOL, V386, P246, DOI 10.1016/j.jmb.2008.12.023
Pittman MS, 2007, MOL MICROBIOL, V63, P575, DOI 10.1111/j.1365-2958.2006.05532.x
Poole RK, 1996, J BACTERIOL, V178, P5487, DOI 10.1128/jb.178.18.5487-5492.1996
POOLE RK, 1994, P ROY SOC B-BIOL SCI, V255, P251, DOI 10.1098/rspb.1994.0036
POTTS M, 1992, SCIENCE, V256, P1690, DOI 10.1126/science.256.5064.1690
Preimesberger MR, 2012, J BIOL INORG CHEM, V17, P599, DOI 10.1007/s00775-012-0880-5
Reeder BJ, 2012, J AM CHEM SOC, V134, P7741, DOI 10.1021/ja211745g
Richardson AR, 2006, MOL MICROBIOL, V61, P927, DOI 10.1111/j.1365-2958.2006.05290.x
Rogstam A, 2007, J BACTERIOL, V189, P3063, DOI 10.1128/JB.01782-06
Ronquist F, 2003, BIOINFORMATICS, V19, P1572, DOI 10.1093/bioinformatics/btg180
Salto JA, 2008, FEBS LETT, V582, P1840, DOI 10.1016/j.febslet.2008.05.004
Schäffer AA, 2001, NUCLEIC ACIDS RES, V29, P2994, DOI 10.1093/nar/29.14.2994
Scott NL, 2010, BIOCHEMISTRY-US, V49, P7000, DOI 10.1021/bi100463d
Shepherd M, 2010, J BIOL CHEM, V285, P12747, DOI 10.1074/jbc.M109.084509
Shi JY, 2001, J MOL BIOL, V310, P243, DOI 10.1006/jmbi.2001.4762
Smagghe BJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002039
Stark BC, 2011, BIOTECHNOL LETT, V33, P1705, DOI 10.1007/s10529-011-0621-9
Stern AM, 2012, MBIO, V3, DOI 10.1128/mBio.00013-12
Stevanin TM, 2007, GENE, V398, P62, DOI 10.1016/j.gene.2007.03.021
Stevanin TM, 2002, INFECT IMMUN, V70, P4399, DOI 10.1128/IAI.70.8.4399-4405.2002
Stevanin TM, 2000, J BIOL CHEM, V275, P35868, DOI 10.1074/jbc.M002471200
Stranzl GR, 2011, J BIOL CHEM, V286, P8448, DOI 10.1074/jbc.M110.207126
Svensson L, 2006, J UROLOGY, V175, P749, DOI 10.1016/S0022-5347(05)00144-8
Svensson L, 2010, MICROB PATHOGENESIS, V49, P59, DOI 10.1016/j.micpath.2010.04.001
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Tarricone C, 1997, STRUCTURE, V5, P497, DOI 10.1016/S0969-2126(97)00206-2
Teh AH, 2011, FEBS LETT, V585, P3250, DOI 10.1016/j.febslet.2011.09.002
VASUDEVAN SG, 1991, MOL GEN GENET, V226, P49, DOI 10.1007/BF00273586
Vinogradov SN, 2008, J BIOL CHEM, V283, P8773, DOI 10.1074/jbc.R700029200
Vinogradov SN, 2008, METHOD ENZYMOL, V436, P571, DOI [10.1016/S0076-6879(08)-36031-5, 10.1016/S0076-6879(08)36031-5]
Vinogradov SN, 2007, GENE, V398, P132, DOI 10.1016/j.gene.2007.02.041
Vinogradov SN, 2011, MOL PLANT, V4, P42, DOI 10.1093/mp/ssq040
Vinogradov SN, 2006, BMC EVOL BIOL, V6, DOI 10.1186/1471-2148-6-31
Vinogradov SN, 2005, P NATL ACAD SCI USA, V102, P11385, DOI 10.1073/pnas.0502103102
Vuletich DA, 2006, J MOL EVOL, V62, P196, DOI 10.1007/s00239-005-0077-4
Wainwright LM, 2005, MICROBIOL-SGM, V151, P4079, DOI 10.1099/mic.0.28266-0
WAKABAYASHI S, 1986, NATURE, V322, P481, DOI 10.1038/322481a0
Wan XH, 2009, J MOL BIOL, V388, P262, DOI 10.1016/j.jmb.2009.03.015
Wang YL, 2010, MOL MICROBIOL, V78, P903, DOI 10.1111/j.1365-2958.2010.07376.x
WEBSTER DA, 1985, J BIOL CHEM, V260, P5526
WEBSTER DA, 1977, J BIOL CHEM, V252, P1834
WEBSTER DA, 1978, J BACTERIOL, V135, P62, DOI 10.1128/JB.135.1.62-67.1978
Wittenberg JB, 2002, J BIOL CHEM, V277, P871, DOI 10.1074/jbc.R100058200
Wu DY, 2009, NATURE, V462, P1056, DOI 10.1038/nature08656
Wu GH, 2003, ADV MICROB PHYSIOL, V47, P255, DOI 10.1016/S0065-2911(03)47005-7
Wu GH, 2004, ARCH MICROBIOL, V182, P193, DOI 10.1007/s00203-004-0699-8
Zhang W, 2003, STRUCTURE, V11, P1097, DOI 10.1016/S0969-2126(03)00169-2
NR 131
TC 94
Z9 101
PD SEP
PY 2013
VL 1834
IS 9
SI SI
BP 1789
EP 1800
DI 10.1016/j.bbapap.2013.03.021
UT WOS:000323191800014
DA 2025-07-30
ER
PT J
AU Pearman, JK
Thomson-Laing, G
Thompson, L
Waters, S
Vandergoes, MJ
Howarth, JD
Duggan, IC
Hogg, ID
Wood, SA
AF Pearman, John K.
Thomson-Laing, Georgia
Thompson, Lucy
Waters, Sean
Vandergoes, Marcus J.
Howarth, Jamie D.
Duggan, Ian C.
Hogg, Ian D.
Wood, Susanna A.
TI Human access and deterministic processes play a major role in
structuring planktonic and sedimentary bacterial and eukaryotic
communities in lakes
SO PEERJ
DT Article
AB Lakes provide habitat for a diverse array of species and offer a wide range of ecosystem services for humanity. However, they are highly vulnerable as they are not only impacted by adverse actions directly affecting them, but also those on the surrounding environment. Improving knowledge on the processes responsible for community assembly in different biotic components will aid in the protection and restoration of lakes. Studies to date suggested a combination of deterministic (where biotic/abiotic factors act on fitness differences amongst taxa) and stochastic (where dispersal plays a larger factor in community assembly) processes are responsible for structuring biotic communities, but there is no consensus on the relative roles these processes play, and data is lacking for lakes. In the present study, we sampled different biotic components in 34 lakes located on the South Island of New Zealand. To obtain a holistic view of assembly processes in lakes we used metabarcoding to investigate bacteria in the sediment and surface waters, and eukaryotes in the sediment and two different size fractions of the water column. Physicochemical parameters were collected in parallel. Results showed that deterministic processes dominated the assembly of lake communities although the relative importance of variable and homogeneous selection differed among the biotic components. Variable selection was more important in the sediment (SSbact and SSeuks) and for the bacterioplankton (Pbact) while the assembly of the eukaryotic plankton (SPeuks, LPeuks) was driven more by homogeneous selection. The ease of human access to the lakes had a significant effect on lake communities. In particular, clade III of SAR11 and Daphnia pulex were only present in lakes with public access. This study provides insights into the distribution patterns of different biotic components and highlights the value in understanding the drivers of different biological communities within lakes.
C1 [Pearman, John K.; Thomson-Laing, Georgia; Thompson, Lucy; Waters, Sean; Wood, Susanna A.] Cawthron Inst, Nelson, New Zealand.
[Vandergoes, Marcus J.] GNS Sci, Lower Hutt, New Zealand.
[Howarth, Jamie D.] Victoria Univ Wellington, Wellington, New Zealand.
[Duggan, Ian C.; Hogg, Ian D.] Univ Waikato, Hamilton, New Zealand.
[Hogg, Ian D.] Canadian High Arctic Res Stn, Cambridge Bay, NU, Canada.
RP Pearman, JK (corresponding author), Cawthron Inst, Nelson, New Zealand.
EM John.Pearman@cawthron.org.nz
CR Adrian R, 2009, LIMNOL OCEANOGR, V54, P2283, DOI 10.4319/lo.2009.54.6_part_2.2283
Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
Anderson MJ, 2017, WILEY STATSREF STAT, P1, DOI [10.1002/9781118445112.stat07841., DOI 10.1002/9781118445112.STAT07841, 10.1002/9781118445112.stat07841]
Arbizu P.M., 2020, pairwiseAdonis
Arbuckle KE, 2001, LIMNOL OCEANOGR, V46, P970, DOI 10.4319/lo.2001.46.4.0970
Bayer TK, 2008, NEW ZEAL J MAR FRESH, V42, P285, DOI 10.1080/00288330809509956
Biessy L, 2022, METABARCOD METAGENOM, V6, P59, DOI 10.3897/mbmg.6.79265
Bodenhofer U, 2015, BIOINFORMATICS, V31, P3997, DOI 10.1093/bioinformatics/btv494
Burns CW, 2013, BIOL INVASIONS, V15, P859, DOI 10.1007/s10530-012-0335-5
Burns CW, 1996, J PLANKTON RES, V18, P683, DOI 10.1093/plankt/18.5.683
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chase JM, 2010, SCIENCE, V328, P1388, DOI 10.1126/science.1187820
Craig J.F., 1992, Reviews in Fish Biology and Fisheries, V2, P93, DOI 10.1007/BF00042880
Drakare S, 2010, FRESHWATER BIOL, V55, P2447, DOI 10.1111/j.1365-2427.2010.02473.x
Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
Duggan IC, 2006, NEW ZEAL J MAR FRESH, V40, P561, DOI 10.1080/00288330.2006.9517445
Duggan IC, 2021, AQUAT ECOL, V55, P1127, DOI 10.1007/s10452-020-09803-8
Duggan IC, 2012, AQUAT INVASIONS, V7, P585, DOI 10.3391/ai.2012.7.4.015
Figuerola J, 2005, AM NAT, V165, P274, DOI 10.1086/427092
Fine PVA, 2011, ECOGRAPHY, V34, P552, DOI 10.1111/j.1600-0587.2010.06548.x
FORSBERG C, 1989, HYDROBIOLOGIA, V176, P263, DOI 10.1007/BF00026561
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Gu ZG, 2014, BIOINFORMATICS, V30, P2811, DOI 10.1093/bioinformatics/btu393
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Havel JE, 2004, LIMNOL OCEANOGR, V49, P1229, DOI 10.4319/lo.2004.49.4_part_2.1229
Hayden CJ, 2016, ENVIRON MICROBIOL, V18, P1782, DOI 10.1111/1462-2920.12938
Herlemann DPR, 2007, APPL ENVIRON MICROB, V73, P6682, DOI 10.1128/AEM.00712-07
Hoostal MJ, 2008, MICROB ECOL, V55, P358, DOI 10.1007/s00248-007-9281-7
Hubbell Stephen P., 2001, V32, pi
Jiao CC, 2021, FRESHWATER BIOL, V66, P1515, DOI 10.1111/fwb.13735
Jiao CC, 2020, SCI TOTAL ENVIRON, V740, DOI 10.1016/j.scitotenv.2020.140010
Jiao CC, 2018, WATER-SUI, V10, DOI 10.3390/w10081075
Kandlikar Gaurav S, 2018, F1000Res, V7, P1734, DOI 10.12688/f1000research.16680.1
Kassambara A., 2019, Package 'ggcorrplot'
Kembel SW, 2010, BIOINFORMATICS, V26, P1463, DOI 10.1093/bioinformatics/btq166
Kilroy C, 2021, AQUAT INVASIONS, V16, P415, DOI 10.3391/ai.2021.16.3.03
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Kraemer SA, 2020, ISME J, V14, P3011, DOI 10.1038/s41396-020-0733-0
Kuhn M, 2008, J STAT SOFTW, V28, P1, DOI 10.18637/jss.v028.i05
Leray M, 2015, P NATL ACAD SCI USA, V112, P2076, DOI 10.1073/pnas.1424997112
Leray M, 2013, FRONT ZOOL, V10, DOI 10.1186/1742-9994-10-34
Levine JM, 2009, NATURE, V461, P254, DOI 10.1038/nature08251
Li HB, 2017, LIMNOL OCEANOGR, V62, P1570, DOI 10.1002/lno.10518
Liao JQ, 2017, LIMNOL OCEANOGR, V62, P723, DOI 10.1002/lno.10455
Machida RJ, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.27
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
McCrackin ML, 2017, LIMNOL OCEANOGR, V62, P507, DOI 10.1002/lno.10441
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
MILLS EL, 1994, BIOSCIENCE, V44, P666, DOI 10.2307/1312510
NCBI Resource Coordinators, 2018, Nucl. Acids Res., V46, pD8, DOI DOI 10.1093/NAR/GKX1095
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Ning DL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18560-z
Oksanen J., 2007, Community Ecology Package, V10, P719
Parkes SM, 2012, DIVERS DISTRIB, V18, P1199, DOI 10.1111/j.1472-4642.2012.00913.x
Pearman JK, 2022, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.793441
Pearman JK, 2020, FEMS MICROBIOL ECOL, V96, DOI 10.1093/femsec/fiaa070
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
R Core Team, 2014, R: a language and environment for statistical computing
Ranwez V, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022594
Ratnasingham S, 2007, MOL ECOL NOTES, V7, P355, DOI 10.1111/j.1471-8286.2007.01678.x
Rowe DK, 2007, HYDROBIOLOGIA, V583, P345, DOI 10.1007/s10750-007-0646-1
Ruuskanen MO, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01138
Sadeghi J, 2021, SCI TOTAL ENVIRON, V781, DOI 10.1016/j.scitotenv.2021.146771
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schallenberg LA, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.757929
Schallenberg M., 2017, LAKE HAYES RESTORATI
Schliep KP, 2011, BIOINFORMATICS, V27, P592, DOI 10.1093/bioinformatics/btq706
Sloan WT, 2006, ENVIRON MICROBIOL, V8, P732, DOI 10.1111/j.1462-2920.2005.00956.x
Soininen J, 2011, LIMNOL OCEANOGR, V56, P508, DOI 10.4319/lo.2011.56.2.0508
Sommer U, 2001, ECOL LETT, V4, P545, DOI 10.1046/j.1461-0248.2001.00263.x
Stegen JC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00370
Stegen JC, 2013, ISME J, V7, P2069, DOI 10.1038/ismej.2013.93
Tesson SVM, 2018, J PHYCOL, V54, P518, DOI 10.1111/jpy.12756
Vellend M, 2014, OIKOS, V123, P1420, DOI 10.1111/oik.01493
Vellend M, 2010, Q REV BIOL, V85, P183, DOI 10.1086/652373
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wang XT, 2019, ENVIRON INT, V132, DOI 10.1016/j.envint.2019.105096
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Wetzel RG., 2001, LIMNOLOGY LAKE RIVER, P1006, DOI DOI 10.1016/C2009-0-02112-6
Wilkinson DM, 2012, J BIOGEOGR, V39, P89, DOI 10.1111/j.1365-2699.2011.02569.x
Willems A., 2014, PROKARYOTES ALPHAPRO, P777, DOI DOI 10.1007/978-3-642-30197-1_238
Williamson CE, 2008, FRONT ECOL ENVIRON, V6, P247, DOI 10.1890/070140
Xia M, 2022, WATER-SUI, V14, DOI 10.3390/w14050723
Yang JH, 2020, ENVIRON INT, V134, DOI 10.1016/j.envint.2019.105230
Ye ZQ, 2021, LIMNOL OCEANOGR, V66, P2672, DOI 10.1002/lno.11780
Zeng J, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105491
Zhan AB, 2013, METHODS ECOL EVOL, V4, P558, DOI 10.1111/2041-210X.12037
Zhou JZ, 2017, MICROBIOL MOL BIOL R, V81, DOI 10.1128/MMBR.00002-17
NR 90
TC 4
Z9 4
PD NOV 11
PY 2022
VL 10
AR e14378
DI 10.7717/peerj.14378
UT WOS:000965006400004
DA 2025-07-30
ER
PT J
AU Rasmussen, AN
Damashek, J
Eloe-Fadrosh, EA
Francis, CA
AF Rasmussen, Anna N.
Damashek, Julian
Eloe-Fadrosh, Emiley A.
Francis, Christopher A.
TI In-depth Spatiotemporal Characterization of Planktonic Archaeal and
Bacterial Communities in North and South San Francisco Bay
SO MICROBIAL ECOLOGY
DT Article
AB Despite being the largest estuary on the west coast of North America, no in-depth survey of microbial communities in San Francisco Bay (SFB) waters currently exists. In this study, we analyze bacterioplankton and archaeoplankton communities at several taxonomic levels and spatial extents (i.e., North versus South Bay) to reveal patterns in alpha and beta diversity. We assess communities using high-throughput sequencing of the 16S rRNA gene in 177 water column samples collected along a 150-km transect over a 2-year monthly time-series. In North Bay, the microbial community is strongly structured by spatial salinity changes while in South Bay seasonal variations dominate community dynamics. Along the steep salinity gradient in North Bay, we find that operational taxonomic units (OTUs; 97% identity) have higher site specificity than at coarser taxonomic levels and turnover ("species" replacement) is high, revealing a distinct brackish community (in oligo-, meso-, and polyhaline samples) from fresh and marine end-members. At coarser taxonomic levels (e.g., phylum, class), taxa are broadly distributed across salinity zones (i.e., present/abundant in a large number of samples) and brackish communities appear to be a mix of fresh and marine communities. We also observe variations in brackish communities between samples with similar salinities, likely related to differences in water residence times between North and South Bay. Throughout SFB, suspended particulate matter is positively correlated with richness and influences changes in beta diversity. Within several abundant groups, including the SAR11 clade (comprising up to 30% of reads in a sample), OTUs appear to be specialized to a specific salinity range. Some other organisms also showed pronounced seasonal abundance, including Synechococcus, Ca. Actinomarina, and Nitrosopumilus-like OTUs. Overall, this study represents the first in-depth spatiotemporal survey of SFB microbial communities and provides insight into how planktonic microorganisms have specialized to different niches along the salinity gradient.
C1 [Rasmussen, Anna N.; Damashek, Julian; Francis, Christopher A.] Stanford Univ, Dept Earth Syst Sci, 473 Via Ortega,Y2E2 Bldg Rm 140, Stanford, CA 94305 USA.
[Damashek, Julian] Utica Coll, Dept Biol, Utica, NY 13502 USA.
[Eloe-Fadrosh, Emiley A.] Lawrence Berkeley Natl Lab, Joint Genome Inst, Dept Energy, Berkeley, CA 94720 USA.
RP Francis, CA (corresponding author), Stanford Univ, Dept Earth Syst Sci, 473 Via Ortega,Y2E2 Bldg Rm 140, Stanford, CA 94305 USA.
EM caf@stanfond.edu
CR Aguirre M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0178755
Ahlgren NA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00213
Almeida-Neto M, 2008, OIKOS, V117, P1227, DOI 10.1111/j.0030-1299.2008.16644.x
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
[Anonymous], 2014, Contribution No. 704
[Anonymous], 2015, SCI REP UK
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Baselga A, 2010, GLOBAL ECOL BIOGEOGR, V19, P134, DOI 10.1111/j.1466-8238.2009.00490.x
Battaglia B., 1959, ARCH OCEANOGR LIMNOL, V11, P243
Beck MW, 2018, ESTUAR COAST SHELF S, V212, P11, DOI 10.1016/j.ecss.2018.06.021
Bennke CM, 2016, ENVIRON MICROBIOL, V18, P4456, DOI 10.1111/1462-2920.13429
Blainey PC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016626
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Callahan Ben J, 2016, F1000Res, V5, P1492
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cloern JE, 2019, LIMNOL OCEANOGR, V64, pS192, DOI 10.1002/lno.10958
Cloern JE, 2018, LIMNOL OCEANOGR, V63, pS392, DOI 10.1002/lno.10749
Cloern JE, 2017, LIMNOL OCEANOGR, V62, pS272, DOI 10.1002/lno.10537
Cloern JE, 2012, REV GEOPHYS, V50, DOI 10.1029/2012RG000397
Cloern JE, 2010, ESTUAR COAST, V33, P230, DOI 10.1007/s12237-009-9195-3
Cloern JE, 2005, MAR ECOL PROG SER, V285, P11, DOI 10.3354/meps285011
Cloern JE, 2001, MAR ECOL PROG SER, V210, P223, DOI 10.3354/meps210223
CLOERN JE, 1987, CONT SHELF RES, V7, P1367, DOI 10.1016/0278-4343(87)90042-2
Cloern JE, 1996, REV GEOPHYS, V34, P127, DOI 10.1029/96RG00986
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Crump BC, 1998, AQUAT MICROB ECOL, V14, P7, DOI 10.3354/ame014007
Damashek J, 2016, ESTUAR COAST, V39, P1050, DOI 10.1007/s12237-016-0071-7
Doherty M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00882
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fortunato CS, 2011, MICROB ECOL, V62, P374, DOI 10.1007/s00248-011-9805-z
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Hollibaugh JT, 2014, ISME J, V8, P685, DOI 10.1038/ismej.2013.171
Hollibaugh JT, 2000, AQUAT MICROB ECOL, V21, P103, DOI 10.3354/ame021103
Hollibaugh JT, 1999, ESTUARIES, V22, P848, DOI 10.2307/1353066
Holmfeldt K, 2009, ENVIRON MICROBIOL, V11, P2042, DOI 10.1111/j.1462-2920.2009.01925.x
Hu AY, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061087
Hugerth LW, 2015, GENOME BIOL, V16, DOI 10.1186/s13059-015-0834-7
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Kim JG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221408
Kimmerer Wim, 2004, San Francisco Estuary & Watershed Science, V2, pUnpaginated
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Laperriere SM, 2019, ESTUAR COAST, V42, P33, DOI 10.1007/s12237-018-0441-4
Li JL, 2018, MICROB ECOL, V76, P637, DOI 10.1007/s00248-018-1174-4
Li WKW, 1998, LIMNOL OCEANOGR, V43, P1746, DOI 10.4319/lo.1998.43.7.1746
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Liu JW, 2014, FEMS MICROBIOL ECOL, V90, P424, DOI 10.1111/1574-6941.12404
Love MI, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0550-8
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Lucas LV, 2009, J MARINE SYST, V75, P70, DOI 10.1016/j.jmarsys.2008.07.011
Mason OU, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01048
McMurdie PJ, 2014, PLOS COMPUT BIOL, V10, DOI 10.1371/journal.pcbi.1003531
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Mehrshad M, 2016, APPL ENVIRON MICROB, V82, P1599, DOI 10.1128/AEM.03381-15
Mosier AC, 2012, MICROB ECOL, V64, P955, DOI 10.1007/s00248-012-0075-1
Murrell MC, 1999, LIMNOL OCEANOGR, V44, P295, DOI 10.4319/lo.1999.44.2.0295
Ngugi DK, 2018, GENOME ANNOUNCEMENTS, V6, DOI 10.1128/genomeA.00565-18
NICHOLS FH, 1986, SCIENCE, V231, P567, DOI 10.1126/science.231.4738.567
Oksanen, 2022, VEGAN COMMUNITY ECOL
Orellana LH, 2019, ISME J, V13, P3024, DOI 10.1038/s41396-019-0491-z
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paver SF, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00232-18
Pitcher A, 2011, LIMNOL OCEANOGR, V56, P2308, DOI 10.4319/lo.2011.56.6.2308
Raimonet M, 2017, GLOBAL CHANGE BIOL, V23, P2345, DOI 10.1111/gcb.13546
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Schaefert SC, 2017, ENVIRON SCI TECHNOL, V51, P3157, DOI 10.1021/acs.est.6b03483
Schraga TS, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.98
Seo Ji-Hui., 2017, PLoS One, V12, pe0174159, DOI DOI 10.1371/JOURNAL.PONE.0174159
Shaw AK, 2008, ENVIRON MICROBIOL, V10, P2200, DOI 10.1111/j.1462-2920.2008.01626.x
Simonato F, 2010, SYST APPL MICROBIOL, V33, P128, DOI 10.1016/j.syapm.2009.12.006
Smith MW, 2017, MICROBIOLOGYOPEN, V6, DOI 10.1002/mbo3.467
Smith MW, 2013, FRONT MICROBIOL, V4, DOI [10.3389/fmicb.2013.00120, 10.3389/fpls.2013.00486]
Stepanauskas R, 2003, AQUAT MICROB ECOL, V31, P85, DOI 10.3354/ame031085
Sutula M, 2017, ESTUAR COAST SHELF S, V197, P107, DOI 10.1016/j.ecss.2017.07.009
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
WALTERS RA, 1985, HYDROBIOLOGIA, V129, P13, DOI 10.1007/BF00048685
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wang K, 2011, APPL ENVIRON MICROB, V77, P7459, DOI 10.1128/AEM.00267-11
Wang YM, 2020, LIMNOL OCEANOGR, V65, pS161, DOI 10.1002/lno.11314
Wankel SD, 2006, LIMNOL OCEANOGR, V51, P1654, DOI 10.4319/lo.2006.51.4.1654
Wear EK, 2018, ENVIRON MICROBIOL, V20, P2709, DOI 10.1111/1462-2920.14091
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Wuchter C, 2007, P NATL ACAD SCI USA, V104, P5704, DOI 10.1073/pnas.0701630104
Xia XM, 2015, APPL ENVIRON MICROB, V81, P7644, DOI 10.1128/AEM.01895-15
Xie W, 2018, ENVIRON MICROBIOL, V20, P734, DOI 10.1111/1462-2920.14004
Zhang Y., 2006, Contribution of major bacterial groups to bacterial biomass production along a salinity gradient in the South China Sea
NR 101
TC 12
Z9 13
PD APR
PY 2021
VL 81
IS 3
BP 601
EP 616
DI 10.1007/s00248-020-01621-7
EA NOV 2020
UT WOS:000585738000001
DA 2025-07-30
ER
PT J
AU Lekunberri, I
Sintes, E
de Corte, D
Yokokawa, T
Herndl, GJ
AF Lekunberri, Itziar
Sintes, Eva
de Corte, Daniele
Yokokawa, Taichi
Herndl, Gerhard J.
TI Spatial patterns of bacterial and archaeal communities along the
Romanche Fracture Zone (tropical Atlantic)
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB The composition of prokaryotic communities was determined in the meso- and bathypelagic waters funneled through the Romanche Fracture Zone (RFZ, 2 degrees 7'S, 31 degrees 79'W to 0 degrees 6'N, 14 degrees 33'W) in the tropical Atlantic. Distinct water masses were identified based on their physical and chemical characteristics. The bacterial and archaeal communities were depth-stratified with a total of 116 and 25 operational taxonomic units (OTUs), respectively, distributed among the distinct water masses as revealed by terminal restriction fragment length polymorphism, and cloning and sequencing. The relative abundance of Thaumarchaeota, determined by catalyzed reporter deposition-fluorescence in situ hybridization, was significantly higher in deeper layers (Antarctic Bottom Water, AABW, > 4000 m depth), contributing up to 31% to the total prokaryotic community, than in the mesopelagic and lower euphotic layer. Although the contribution of SAR11 to bacterial abundance did not increase with depth, SAR202, SAR324, SAR406 and Alteromonas did increase with depth. Terminal restriction fragment length polymorphism analysis revealed successional changes in the bacterial and archaeal community composition of the North Atlantic Deep Water (NADW) with a passage time through the RFZ of c. 4 months but not in the under- and overlying water masses. Our results indicate that specific water masses harbor distinct bacterial and archaeal communities and that the prokaryotic community of the NADW undergoes successional changes in this conduit between the western and eastern Atlantic basin. Apparently, in the absence of major input of organic matter to specific deep-water masses, the indigenous prokaryotic community adapts to subtle physical and biogeochemical changes in the water mass within a time frame of weeks, similar to the reported seasonal changes in surface water prokaryotic communities.
C1 [Lekunberri, Itziar; Sintes, Eva; de Corte, Daniele; Herndl, Gerhard J.] Univ Vienna, Dept Marine Biol, Fac Ctr Ecol, A-1090 Vienna, Austria.
[Yokokawa, Taichi] Ehime Univ, CMES, Matsuyama, Ehime, Japan.
[Herndl, Gerhard J.] Royal Netherlands Inst Sea Res NIOZ, Dept Biol Oceanog, Texel, Netherlands.
[Herndl, Gerhard J.] Univ Groningen, CEES, Groningen, Netherlands.
RP Sintes, E (corresponding author), Univ Vienna, Dept Marine Biol, Fac Ctr Ecol, Althanstr 14, A-1090 Vienna, Austria.
EM eva.sintes@univie.ac.at
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Bochdansky AB, 2010, P NATL ACAD SCI USA, V107, P8287, DOI 10.1073/pnas.0913744107
Church MJ, 2003, LIMNOL OCEANOGR, V48, P1893, DOI 10.4319/lo.2003.48.5.1893
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
De Corte D, 2013, ENV MICROBIOL REP, V5, P272, DOI 10.1111/1758-2229.12013
De Corte D, 2010, ISME J, V4, P1431, DOI [10.1038/ISMEJ.2010.65, 10.1038/ismej.2010.65]
delGiorgio PA, 1996, LIMNOL OCEANOGR, V41, P1169, DOI 10.4319/lo.1996.41.6.1169
DeLong E, 2006, PLOS BIOL, V4, P2412, DOI 10.1371/journal.pbio.0040437
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DeLong EF, 1997, APPL ENVIRON MICROB, V63, P2105, DOI 10.1128/AEM.63.5.2105-2108.1997
Efron B., 1994, An Introduction to the Bootstrap
Ferron B, 1998, J PHYS OCEANOGR, V28, P1929, DOI 10.1175/1520-0485(1998)028<1929:MITRFZ>2.0.CO;2
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
FUHRMAN JA, 1989, MAR ECOL PROG SER, V57, P207, DOI 10.3354/meps057207
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
García-Martínez J, 2002, ENVIRON MICROBIOL, V4, P42, DOI 10.1046/j.1462-2920.2002.00255.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Horner-Devine MC, 2004, NATURE, V432, P750, DOI 10.1038/nature03073
Ivars-Martinez E, 2008, ISME J, V2, P1194, DOI 10.1038/ismej.2008.74
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Lauro FM, 2007, APPL ENVIRON MICROB, V73, P838, DOI 10.1128/AEM.01726-06
Letunic I, 2007, BIOINFORMATICS, V23, P127, DOI 10.1093/bioinformatics/btl529
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Mercier H, 1998, J PHYS OCEANOGR, V28, P779, DOI 10.1175/1520-0485(1998)028<0779:TOBWIT>2.0.CO;2
Moeseneder MM, 1999, APPL ENVIRON MICROB, V65, P3518
Moeseneder MM, 2001, J MICROBIOL METH, V44, P159, DOI 10.1016/S0167-7012(00)00247-5
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Parada V, 2007, APPL ENVIRON MICROB, V73, P4429, DOI 10.1128/AEM.00029-07
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Reinthaler T, 2010, DEEP-SEA RES PT II, V57, P1572, DOI 10.1016/j.dsr2.2010.02.023
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Sintes E, 2013, ENVIRON MICROBIOL, V15, P1647, DOI 10.1111/j.1462-2920.2012.02801.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Teira E, 2006, LIMNOL OCEANOGR, V51, P2131, DOI 10.4319/lo.2006.51.5.2131
van Aken HM, 2000, DEEP-SEA RES PT I, V47, P757, DOI 10.1016/S0967-0637(99)00092-8
van Aken HM, 2000, DEEP-SEA RES PT I, V47, P789, DOI 10.1016/S0967-0637(99)00112-0
Varela MM, 2008, ENVIRON MICROBIOL, V10, P1903, DOI 10.1111/j.1462-2920.2008.01627.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
NR 52
TC 14
Z9 15
PD SEP
PY 2013
VL 85
IS 3
BP 537
EP 552
DI 10.1111/1574-6941.12142
UT WOS:000323200400011
DA 2025-07-30
ER
PT J
AU Reintjes, G
Heins, A
Wang, C
Amann, R
AF Reintjes, Greta
Heins, Anneke
Wang, Cheng
Amann, Rudolf
TI Abundance and composition of particles and their attached microbiomes
along an Atlantic Meridional Transect
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Particulate organic matter plays a significant role in the marine carbon cycle. Its sinking exports organic carbon from the surface to deep oceans. Using fractionated filtration, we analysed particles of 3 - 10 mu m and >10 mu m and their microbiomes in thirty-five stations along a latitudinal transect of the Atlantic Ocean and provide new insights into the composition, community dynamics, and catabolic potential of particle-attached bacteria. Samples were taken during an Atlantic Meridional Transect (AMT22), which traversed six distinctive ocean provinces. Using 16S rRNA amplicon sequencing and fluorescence in situ hybridisation, we could show a strong variation between particle-attached and free-living bacterial communities at each station and across the biogeographical provinces - a dynamic likely driven by chlorophyll a concentrations, temperature, and the oxygen content of the respective biogeographical provinces. Whereas the <3 mu m fraction was primarily composed of SAR11, SAR86, Prochlorococcus and Bacteroidetes of the NS9 and NS5 clades, particle-attached communities were dominated by other Bacteroidetes (Polaribacter spp.), diverse Gammaproteobacteria including members of the genera Alteromonas and Vibrio, Alphaproteobacteria, Planctomycetes, OM27 and Verrucomicrobia. In three provinces, we quantified particle abundance and analysed their glycan composition using four lectins targeting fucose, galactose, N-acetylgalactosamine and mannose. Particles were mainly composed of fucose glycans with only a minor abundance of the other glycans, and particle abundance was directly correlated with the chlorophyll a concentrations. Functional analysis of 54 metagenome-assembled genomes retrieved from bacterial communities attached to small particles showed that particle-attached Bacteroidetes, Planctomycetes and Verrucomicrobia displayed key roles in the degradation of sulfated fucose-containing polysaccharides. We also identified gene clusters potentially encoding the utilisation of mannan and laminarin, suggesting an adaptation to the glycan composition of the particles, potentially resulting in niche diversification. Together, our results provide insights into particle-attached bacteria and their ecological strategies in the Atlantic.
C1 [Reintjes, Greta; Heins, Anneke; Wang, Cheng; Amann, Rudolf] Max Planck Inst Marine Microbiol, Dept Mol Ecol, Bremen, Germany.
[Wang, Cheng] Sun Yat sen Univ, Guangzhou, Guangdong, Peoples R China.
RP Reintjes, G (corresponding author), Max Planck Inst Marine Microbiol, Dept Mol Ecol, Bremen, Germany.
EM greintje@mpi-bremen.de
CR ALLDREDGE AL, 1986, LIMNOL OCEANOGR, V31, P68, DOI 10.4319/lo.1986.31.1.0068
Alneberg J, 2014, NAT METHODS, V11, P1144, DOI [10.1038/NMETH.3103, 10.1038/nmeth.3103]
Arnosti C, 2018, MAR CHEM, V206, P93, DOI 10.1016/j.marchem.2018.09.008
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Bach LT, 2012, MAR BIOL, V159, P1853, DOI 10.1007/s00227-012-1945-2
Becker S, 2020, P NATL ACAD SCI USA, V117, P6599, DOI 10.1073/pnas.1917001117
Beghini F, 2021, ELIFE, V10, DOI 10.7554/eLife.65088
Behrenfeld MJ, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002299
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
Ben Francis T, 2021, ISME J, V15, P2336, DOI 10.1038/s41396-021-00928-8
Ben Francis T, 2019, SYST APPL MICROBIOL, V42, P41, DOI 10.1016/j.syapm.2018.08.007
Bennke CM, 2016, APPL ENVIRON MICROB, V82, P3289, DOI 10.1128/AEM.03931-15
Bennke CM, 2013, SYST APPL MICROBIOL, V36, P417, DOI 10.1016/j.syapm.2013.05.002
BREWER P. G., 1965, DEEP SEA RES, V12, P765, DOI 10.1016/0011-7471(65)90797-7
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cantarel BL, 2009, NUCLEIC ACIDS RES, V37, pD233, DOI 10.1093/nar/gkn663
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Datta MS, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11965
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Desnick R., 2001, The Metabolic and Molecular Bases of Inherited Disease, P3483
Diepenbroek M., 2014, INFORM 2014, P1711
Elbourne LDH, 2017, NUCLEIC ACIDS RES, V45, pD320, DOI 10.1093/nar/gkw1068
Enke TN, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05159-8
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Finn RD, 2011, NUCLEIC ACIDS RES, V39, pW29, DOI 10.1093/nar/gkr367
Fuchsman CA, 2012, FEMS MICROBIOL ECOL, V80, P402, DOI 10.1111/j.1574-6941.2012.01306.x
Glöckner FO, 2003, P NATL ACAD SCI USA, V100, P8298, DOI 10.1073/pnas.1431443100
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Grasshoff K., 1976, Determination of nitrate and nitrite
Grossart HP, 2007, FEMS MICROBIOL LETT, V266, P194, DOI 10.1111/j.1574-6968.2006.00520.x
Guindon S, 2005, NUCLEIC ACIDS RES, V33, pW557, DOI 10.1093/nar/gki352
Heins A, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.643730
HEISSENBERGER A, 1994, MAR ECOL PROG SER, V111, P129, DOI 10.3354/meps111129
Hollibaugh JT, 2000, AQUAT MICROB ECOL, V21, P103, DOI 10.3354/ame021103
Huang GY, 2021, LIMNOL OCEANOGR, V66, P3768, DOI 10.1002/lno.11917
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Huston AL, 2002, DEEP-SEA RES PT II, V49, P5211, DOI 10.1016/S0967-0645(02)00186-8
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
JESPERSEN HM, 1993, J PROTEIN CHEM, V12, P791, DOI 10.1007/BF01024938
Kappelmann L, 2019, ISME J, V13, P76, DOI 10.1038/s41396-018-0242-6
Kiorboe T, 2003, APPL ENVIRON MICROB, V69, P3036, DOI 10.1128/AEM.69.6.3036-3047.2003
Kirkwood D., 1996, Nutrients: Practical notes on their determination in sea water
Klassen L, 2021, MICROBIOME, V9, DOI 10.1186/s40168-020-00975-x
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Li H., 2013, arXiv, DOI [10.48550/arXiv.1303.3997, DOI 10.48550/ARXIV.1303.3997]
Liu GD, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0055185
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
López-Pérez M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00996
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Lyons MM, 2012, HYDROBIOLOGIA, V686, P181, DOI 10.1007/s10750-012-1010-7
Marin I., 2014, ENCY ASTROBIOLOGY, P1
McCarter Linda, 1999, Journal of Molecular Microbiology and Biotechnology, V1, P51
Mestre M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01590
Mestre M, 2017, MOL ECOL, V26, P6827, DOI 10.1111/mec.14421
Michael V, 2016, ISME J, V10, P2498, DOI 10.1038/ismej.2016.30
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
Mistry J, 2021, NUCLEIC ACIDS RES, V49, pD412, DOI 10.1093/nar/gkaa913
Moormann M, 1997, J BIOL CHEM, V272, P10729
Oksanen J., 2013, COMMUNITY ECOLOGY PA, V2, P1
Orellana LH, 2022, ISME J, V16, P630, DOI 10.1038/s41396-021-01105-7
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Passow U, 2002, PROG OCEANOGR, V55, P287, DOI 10.1016/S0079-6611(02)00138-6
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pernthaler J, 2001, METHOD MICROBIOL, V30, P207, DOI 10.1016/S0580-9517(01)30046-6
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rawlings ND, 2014, NUCLEIC ACIDS RES, V42, pD503, DOI [10.1093/nar/gkr987, 10.1093/nar/gkt953]
Reintjes G, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.583158
Reintjes G, 2020, ENVIRON MICROBIOL, V22, P1884, DOI 10.1111/1462-2920.14971
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Richter M, 2016, BIOINFORMATICS, V32, P929, DOI 10.1093/bioinformatics/btv681
Salazar G, 2015, MOL ECOL, V24, P5692, DOI 10.1111/mec.13419
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schultz D, 2020, ENV MICROBIOL REP, V12, P367, DOI 10.1111/1758-2229.12842
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Smith MW, 2013, FRONT MICROBIOL, V4, DOI [10.3389/fmicb.2013.00120, 10.3389/fpls.2013.00486]
Solanki V, 2022, ISME J, V16, P1818, DOI 10.1038/s41396-022-01223-w
Spring S, 2018, ENVIRON MICROBIOL, V20, P2438, DOI 10.1111/1462-2920.14253
Stocker R, 2008, P NATL ACAD SCI USA, V105, P4209, DOI 10.1073/pnas.0709765105
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Turner JT, 2015, PROG OCEANOGR, V130, P205, DOI 10.1016/j.pocean.2014.08.005
van Vliet DM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00253
Vidal-Melgosa S, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21009-6
Wegner CE, 2013, MAR GENOM, V9, P51, DOI 10.1016/j.margen.2012.12.001
Yilmaz P, 2012, FEMS MICROBIOL ECOL, V81, P373, DOI 10.1111/j.1574-6941.2012.01357.x
Yin YB, 2012, NUCLEIC ACIDS RES, V40, pW445, DOI 10.1093/nar/gks479
Ziervogel K, 2010, BIOGEOSCIENCES, V7, P1007, DOI 10.5194/bg-7-1007-2010
Ziervogel K, 2008, ENVIRON MICROBIOL, V10, P289, DOI 10.1111/j.1462-2920.2007.01451.x
Zubkov MV, 2000, PROG OCEANOGR, V45, P369, DOI 10.1016/S0079-6611(00)00008-2
NR 100
TC 13
Z9 13
PD MAR 7
PY 2023
VL 10
AR 1051510
DI 10.3389/fmars.2023.1051510
UT WOS:000950888700001
DA 2025-07-30
ER
PT J
AU Balestra, C
Alonso-Sáez, L
Gasol, JM
Casotti, R
AF Balestra, Cecilia
Alonso-Saez, Laura
Gasol, Josep M.
Casotti, Raffaella
TI Group-specific effects on coastal bacterioplankton of polyunsaturated
aldehydes produced by diatoms
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Polyunsaturated aldehydes (PUAs), produced as secondary metabolites by diatoms, have been shown to induce toxic effects on a variety of organisms, including copepods and phyto- and bacterioplankton. However, the nature of and the players in this interaction remain poorly understood. We tested the effect of 3 PUAs commonly produced by marine diatoms-2E, 4E/Z-heptadienal (HEPTA), 2E, 4E/Z-octadienal (OCTA), 2E, 4E/Z-decadienal (DECA) and a mix of HEPTA and OCTA (MIX)-on a natural bacterial community from a coastal area of the NW Mediterranean Sea (Blanes Bay, Spain). Little effect on total or relative cell abundance or bulk bacterial production was observed after 6 or 24 h exposure to 7.5 nM of the 3 different PUAs for the different bacterial phylogenetic groups (Gammaproteobacteria, Bacteroidetes, Rhodobacteraceae and SAR11), assessed by catalysed reporter deposition (CARD)-fluorescence in situ hybridisation (FISH). Metabolic activity, i.e. single-cell activity as determined by microautoradiography combined with CARD-FISH (MAR-CARD-FISH), was least affected by the addition of single PUAs in Gammaproteobacteria, markedly in Bacteroidetes and most markedly in Rhodobacteraceae, leading to a decrease in Rhodobacteraceae abundance by 21% (by 38% of the active cells assessed by leucine uptake) compared to the control. Bacteroidetes, although markedly affected in single-cell activity, were the most abundant group (54% of total cell counts). The addition of a mixture of OCTA and HEPTA produced a more pronounced decrease in the metabolic activity of all groups than the incubation with the single PUAs, suggesting a synergistic effect. Our results demonstrate that PUAs have a differential effect on the single-cell activity of distinct bacterial groups in natural communities. PUAs may therefore play an important role in shaping bacterial community composition by conferring a competitive advantage to PUA-resistant groups, allowing them to preferentially use the organic matter released by diatoms.
C1 [Balestra, Cecilia; Casotti, Raffaella] Stn Zool A Dohrn, I-80121 Naples, Italy.
[Alonso-Saez, Laura; Gasol, Josep M.] CSIC, Inst Ciencies Mar, E-08003 Barcelona, Catalonia, Spain.
RP Casotti, R (corresponding author), Stn Zool A Dohrn, Villa Comunale, I-80121 Naples, Italy.
EM raffa@szn.it
CR Adolph S, 2004, J EXP BIOL, V207, P2935, DOI 10.1242/jeb.01105
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso-Sáez L, 2008, ECOSYSTEMS, V11, P397, DOI 10.1007/s10021-008-9129-0
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Bisignano G, 2001, FEMS MICROBIOL LETT, V198, P9, DOI 10.1111/j.1574-6968.2001.tb10611.x
Casotti R, 2005, J PHYCOL, V41, P7, DOI 10.1111/j.1529-8817.2005.04052.x
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Fontana A, 2007, PURE APPL CHEM, V79, P481, DOI 10.1351/pac200779040481
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Gasol JM, 2007, AQUAT MICROB ECOL, V46, P71, DOI 10.3354/ame046071
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Ianora A, 2004, NATURE, V429, P403, DOI 10.1038/nature02526
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mann DG, 1999, PHYCOLOGIA, V38, P437, DOI 10.2216/i0031-8884-38-6-437.1
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Miralto A, 1999, MAR BIOTECHNOL, V1, P401, DOI 10.1007/PL00011794
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pohnert G, 2000, ANGEW CHEM INT EDIT, V39, P4352, DOI 10.1002/1521-3773(20001201)39:23<4352::AID-ANIE4352>3.0.CO;2-U
Ribalet F, 2008, AQUAT TOXICOL, V86, P249, DOI 10.1016/j.aquatox.2007.11.005
Ribalet F, 2007, AQUAT TOXICOL, V85, P219, DOI 10.1016/j.aquatox.2007.09.006
Ribalet F, 2007, PHYTOCHEMISTRY, V68, P2059, DOI 10.1016/j.phytochem.2007.05.012
Ribalet F, 2009, PROTIST, V160, P444, DOI 10.1016/j.protis.2009.01.003
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Sapp M, 2007, APPL ENVIRON MICROB, V73, P3117, DOI 10.1128/AEM.02274-06
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
VIDOUDEZ C, 2011, MARINE DRUG IN PRESS
Vidoudez C, 2008, J PLANKTON RES, V30, P1305, DOI 10.1093/plankt/fbn085
Wichard T, 2005, J CHEM ECOL, V31, P949, DOI 10.1007/s10886-005-3615-z
Wichard T, 2005, J CHROMATOGR B, V814, P155, DOI 10.1016/j.jchromb.2004.10.021
NR 45
TC 47
Z9 48
PY 2011
VL 63
IS 2
BP 123
EP 131
DI 10.3354/ame01486
UT WOS:000289577600003
DA 2025-07-30
ER
PT J
AU Hurtado-McCormick, V
Krix, D
Tschitschko, B
Siboni, N
Ralph, PJ
Seymour, JR
AF Hurtado-McCormick, V.
Krix, D.
Tschitschko, B.
Siboni, N.
Ralph, P. J.
Seymour, J. R.
TI Shifts in the seagrass leaf microbiome associated with wasting disease
in Zostera muelleri
SO MARINE AND FRESHWATER RESEARCH
DT Article
AB Seagrass wasting disease (SWD), an infection believed to be caused by Labyrinthula zosterae, has been linked to seagrass declines in several places around the world. However, there is uncertainty about the mechanisms of disease and the potential involvement of opportunistic colonising microorganisms. Using 16S rRNA gene amplicon sequencing, we compared the microbiome of SWD lesions in leaves of Zostera muelleri with communities in adjacent asymptomatic tissues and healthy leaves. The microbiome of healthy leaf tissues was dominated by Pseudomonas and Burkholderia, whereas the most predominant taxa within adjacent tissues were Pseudomonas and Rubidimonas. Members of the Saprospiraceae, potential macroalgal pathogens, were over-represented within SWD lesions. These pronounced changes in microbiome structure were also apparent when we examined the core microbiome of different tissue types. Although the core microbiome associated with healthy leaves included three operational taxonomic units (OTUs) classified as Burkholderia, Cryomorphaceae and the SAR11 clade, a single core OTU from the Arenicella was found within adjacent tissues. Burkholderia are diazotrophic microorganisms and may play an important role in seagrass nitrogen acquisition. In contrast, some members of the Arenicella have been implicated in necrotic disease in other benthic animals. Moreover, microbiome structure was maintained across sites within healthy tissues, but not within SWD lesions or the tissues immediately adjacent to lesions. Predicted functional profiles revealed increased photoautotrophic functions in SWD tissues relative to healthy leaves, but no increase in pathogenicity or virulence. Notably, we demonstrated the presence of L. zosterae in SWD lesions by polymerase chain reaction, but only in one of the two sampled locations, which indicates that other microbiological factors may be involved in the initiation or development of SWD-like symptoms. This study suggests that the dynamics of the seagrass microbiome should be considered within the diagnosis and management of SWD.
C1 [Hurtado-McCormick, V.; Tschitschko, B.; Siboni, N.; Ralph, P. J.; Seymour, J. R.] Univ Technol Sydney, Climate Change Cluster, Fac Sci, Ultimo, NSW 2007, Australia.
[Krix, D.] Univ Technol Sydney, Sch Life Sci, Fac Sci, Ultimo, NSW 2007, Australia.
[Tschitschko, B.] Max Planck Inst Marine Microbiol, Celsiusstr 1, D-28359 Bremen, Germany.
RP Hurtado-McCormick, V (corresponding author), Univ Technol Sydney, Climate Change Cluster, Fac Sci, Ultimo, NSW 2007, Australia.
EM valentina.hurtadomccormick@uts.edu.au
CR Abrahamsson TR, 2014, CLIN EXP ALLERGY, V44, P842, DOI 10.1111/cea.12253
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Amend A, 2019, MBIO, V10, DOI 10.1128/mBio.01189-18
[Anonymous], 2018, bioRxiv, DOI DOI 10.1101/137885
Arnold TM, 2002, J CHEM ECOL, V28, P1919, DOI 10.1023/A:1020737609151
Bagwell CE, 2002, FEMS MICROBIOL ECOL, V39, P113, DOI 10.1111/j.1574-6941.2002.tb00912.x
Balakirev ES, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039587
Blakesly B.A., 2002, SEAGRASS MANAGEMENT, P199
BLUM LK, 1991, MAR ECOL PROG SER, V70, P73, DOI 10.3354/meps070073
Bockelmann AC, 2012, MAR ECOL PROG SER, V445, P109, DOI 10.3354/meps09398
Bowman J., 2014, PROKARYOTES OTHER MA, P539, DOI [10.1007/978-3-642-38954-2_135, DOI 10.1007/978-3-642-38954-2_135]
Brakel J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0092448
Bull JC, 2012, OECOLOGIA, V169, P135, DOI 10.1007/s00442-011-2187-6
Burge CA, 2013, MICROB ECOL, V65, P869, DOI 10.1007/s00248-013-0190-7
Campbell AH, 2011, GLOBAL CHANGE BIOL, V17, P2958, DOI 10.1111/j.1365-2486.2011.02456.x
Candela M, 2012, BMC MICROBIOL, V12, DOI 10.1186/1471-2180-12-95
Capone D. G., 1980, Estuarine perspectives., P153
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chitrampalam P, 2015, EUR J PLANT PATHOL, V143, P485, DOI 10.1007/s10658-015-0701-0
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Clarke KR, 2015, PRIMER v7: User Manual/Tutorial
Clarke KR, 2014, CHANGE MARINE COMMUN
Closek CJ, 2014, ISME J, V8, P2411, DOI 10.1038/ismej.2014.85
González NBC, 2021, CURR MICROBIOL, V78, P534, DOI 10.1007/s00284-020-02302-x
Crump BC, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00388
Davis MJ, 1998, CURR MICROBIOL, V36, P80, DOI 10.1007/s002849900283
Dobbler PT, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02243
Elliott GN, 2007, NEW PHYTOL, V173, P168, DOI 10.1111/j.1469-8137.2006.01894.x
Fahimipour AK, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.03391-16
Feinman SG, 2017, DIS AQUAT ORGAN, V124, P41, DOI 10.3354/dao03111
Fernandes N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050854
Frank DN, 2007, P NATL ACAD SCI USA, V104, P13780, DOI 10.1073/pnas.0706625104
Bernal MG, 2017, J APPL MICROBIOL, V122, P601, DOI 10.1111/jam.13382
Garcia-Martinez M, 2009, ESTUAR COAST, V32, P276, DOI 10.1007/s12237-008-9115-y
Garcias-Bonet N, 2016, AQUAT BOT, V131, P57, DOI 10.1016/j.aquabot.2016.03.002
Ghosh U, 2012, J OCEAN U CHINA, V11, P86, DOI 10.1007/s11802-012-1844-7
GIESEN WBJT, 1990, NETH J SEA RES, V25, P395, DOI 10.1016/0077-7579(90)90047-K
Gilbert JA, 2016, NATURE, V535, P94, DOI 10.1038/nature18850
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glasl B, 2017, MAR BIOL, V164, DOI 10.1007/s00227-017-3097-x
Glöckner FO, 2017, J BIOTECHNOL, V261, P169, DOI 10.1016/j.jbiotec.2017.06.1198
GOVERS L, 2016, P ROY SOC B-BIOL SCI, V283
Govindarajan M, 2008, MICROB ECOL, V55, P21, DOI 10.1007/s00248-007-9247-9
Green E.P., 2003, WORLD ATLAS SEAGRASS
Groner ML, 2016, DIS AQUAT ORGAN, V118, P159, DOI 10.3354/dao02962
Groner ML, 2014, DIS AQUAT ORGAN, V108, P165, DOI 10.3354/dao02709
Hamady M, 2009, GENOME RES, V19, P1141, DOI 10.1101/gr.085464.108
Herbert RA, 1999, FEMS MICROBIOL REV, V23, P563, DOI 10.1016/S0168-6445(99)00022-4
Hernandez-Agreda A, 2017, TRENDS MICROBIOL, V25, P125, DOI 10.1016/j.tim.2016.11.003
Hirano SS, 2000, MICROBIOL MOL BIOL R, V64, P624, DOI 10.1128/MMBR.64.3.624-653.2000
Hollants J, 2013, FEMS MICROBIOL ECOL, V83, P1, DOI 10.1111/j.1574-6941.2012.01446.x
Hurtado-McCormick V, 2019, SEAGRASS METAGENOME
Hurtado-McCormick V, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01011
Jakobsson-Thor S, 2018, MAR ECOL PROG SER, V587, P105, DOI 10.3354/meps12406
Jensen SI, 2007, FEMS MICROBIOL ECOL, V62, P108, DOI 10.1111/j.1574-6941.2007.00373.x
Kegle HF, 2018, PEERJ, V6, DOI 10.7717/peerj.4555
Kharchenko U, 2012, INT BIODETER BIODEGR, V75, P68, DOI 10.1016/j.ibiod.2012.05.029
Küsel K, 2006, J EXP MAR BIOL ECOL, V337, P49, DOI 10.1016/j.jembe.2006.06.004
Kumar V, 2016, ENVIRON MICROBIOL, V18, P3962, DOI 10.1111/1462-2920.13403
Kurilenko VV, 2007, MICROBIOLOGY+, V76, P442, DOI 10.1134/S0026261707040091
Kusstatscher P, 2019, PHYTOBIOMES J, V3, P22, DOI 10.1094/PBIOMES-01-19-0008-R
Kuznetsova A, 2017, J STAT SOFTW, V82, P1, DOI 10.18637/jss.v082.i13
Lee STM, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv142
Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
Lloyd MM, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-34697-w
Longford SR, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-37062-z
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Lujan KM, 2017, GENOME ANNOUNCEMENTS, V5, DOI 10.1128/genomeA.00023-17
Lundberg DS, 2012, NATURE, V488, P86, DOI 10.1038/nature11237
Luo J, 2010, SOIL SCI SOC AM J, V74, P2039, DOI 10.2136/sssaj2009.0437
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Mao DP, 2012, BMC MICROBIOL, V12, DOI 10.1186/1471-2180-12-66
Martin DL, 2016, ESTUAR COAST, V39, P1403, DOI 10.1007/s12237-016-0087-z
Marzinelli EM, 2015, ENVIRON MICROBIOL, V17, P4078, DOI 10.1111/1462-2920.12972
McIlroy Simon Jon, 2014, The Prokaryotes: Other Major Lineages of Bacteria and The Archaea, P863, DOI [10.1007/978-3-642-38954-2_138, DOI 10.1007/978-3-642-38954-2_138]
Mejia AY, 2016, ECOL INDIC, V60, P1150, DOI 10.1016/j.ecolind.2015.09.014
Meres NJ, 2012, J SHELLFISH RES, V31, P463, DOI 10.2983/035.031.0206
Meyer JL, 2016, ISME J, V10, P1204, DOI 10.1038/ismej.2015.184
Meyer JL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100316
Miller AW, 2011, FEMS MICROBIOL ECOL, V75, P231, DOI 10.1111/j.1574-6941.2010.00991.x
Mishra A.K., 2018, OPEN ACCESS LIB J, V5, pE4388, DOI [10.4236/OALIB.1104388, DOI 10.4236/0ALIB.1104388]
MUEHLSTEIN LK, 1989, DIS AQUAT ORGAN, V7, P211, DOI 10.3354/dao007211
MUEHLSTEIN LK, 1991, MYCOLOGIA, V83, P180, DOI 10.2307/3759933
Nedashkovskaya OI, 2013, INT J SYST EVOL MICR, V63, P4124, DOI 10.1099/ijs.0.051599-0
O'Connor NE, 2013, ECOL INDIC, V29, P501, DOI 10.1016/j.ecolind.2013.01.020
Oh J, 2013, GENOME RES, V23, P2103, DOI 10.1101/gr.159467.113
OPSAHL S, 1993, MAR ECOL PROG SER, V94, P191, DOI 10.3354/meps094191
Orth RJ, 2006, BIOSCIENCE, V56, P987, DOI 10.1641/0006-3568(2006)56[987:AGCFSE]2.0.CO;2
Paix B, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00494
PATRIQUIN DG, 1972, MAR BIOL, V15, P35, DOI 10.1007/BF00347435
Petersen C, 2014, CELL MICROBIOL, V16, P1024, DOI 10.1111/cmi.12308
Petersen HE, 1933, NATURE, V132, P1004, DOI 10.1038/1321004a0
Pollock FJ, 2011, PLOS PATHOG, V7, DOI 10.1371/journal.ppat.1002183
Prasad MHK, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-018-7127-z
Quintanilla E, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-33007-8
Ransome E, 2014, FEMS MICROBIOL ECOL, V90, P404, DOI 10.1111/1574-6941.12398
Roder C, 2014, ISME J, V8, P31, DOI 10.1038/ismej.2013.127
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Romanenko LA, 2010, INT J SYST EVOL MICR, V60, P1832, DOI 10.1099/ijs.0.017194-0
Rosenberg E, 2009, ISME J, V3, P139, DOI 10.1038/ismej.2008.104
Rubal M, 2014, ENVIRON POLLUT, V191, P101, DOI 10.1016/j.envpol.2014.04.019
Sanschagrin Sylvie, 2014, J Vis Exp, DOI 10.3791/51709
Sato Y, 2016, ENVIRON MICROBIOL, V18, P752, DOI 10.1111/1462-2920.13122
Schaubeck M, 2016, GUT, V65, P225, DOI 10.1136/gutjnl-2015-309333
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Seguin A., 2014, DIVERSITY-BASEL, V6, P1, DOI DOI 10.3390/d6010001
Shade A, 2012, ENVIRON MICROBIOL, V14, P4, DOI 10.1111/j.1462-2920.2011.02585.x
Shen ZZ, 2018, MICROB ECOL, V75, P739, DOI 10.1007/s00248-017-1052-5
Shokralla S, 2012, MOL ECOL, V21, P1794, DOI 10.1111/j.1365-294X.2012.05538.x
Short FT, 1996, ENVIRON CONSERV, V23, P17, DOI 10.1017/S0376892900038212
SHORT FT, 1987, BIOL BULL-US, V173, P557, DOI 10.2307/1541701
Smoot ME, 2011, BIOINFORMATICS, V27, P431, DOI 10.1093/bioinformatics/btq675
Steele L, 2005, MAR ECOL PROG SER, V303, P123, DOI 10.3354/meps303123
Streten C, 2005, AUSTRALAS PLANT PATH, V34, P157, DOI 10.1071/AP05007
Sullivan BK, 2018, MAR POLLUT BULL, V134, P75, DOI 10.1016/j.marpolbul.2017.09.030
Sullivan BK, 2017, J EUKARYOT MICROBIOL, V64, P504, DOI 10.1111/jeu.12387
Sullivan BK, 2013, FUNGAL ECOL, V6, P328, DOI 10.1016/j.funeco.2013.06.004
Sun FF, 2015, APPL ENVIRON MICROB, V81, P6901, DOI 10.1128/AEM.01382-15
Sunagawa S, 2009, ISME J, V3, P512, DOI 10.1038/ismej.2008.131
Sutherland KP, 2004, MAR ECOL PROG SER, V266, P273, DOI 10.3354/meps266273
Tolli JD, 2006, APPL ENVIRON MICROB, V72, P1966, DOI 10.1128/AEM.72.3.1966-1973.2006
Trevathan-Tackett SM, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135806
Trevathan-Tackett SM, 2018, MICROBIOL RES, V206, P74, DOI 10.1016/j.micres.2017.10.003
Trevathan-Tackett SM, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix033
Trevathan-Tackett SM, 2013, J EXP MAR BIOL ECOL, V449, P221, DOI 10.1016/j.jembe.2013.10.004
Tujula NA, 2010, ISME J, V4, P301, DOI 10.1038/ismej.2009.107
Ugarelli K, 2019, MICROORGANISMS, V7, DOI 10.3390/microorganisms7010004
VERGEER LHT, 1995, AQUAT BOT, V52, P35, DOI 10.1016/0304-3770(95)00480-N
Vergeer LHT, 1997, AQUAT BOT, V58, P65, DOI 10.1016/S0304-3770(96)01115-1
VERGEER LHT, 1994, AQUAT BOT, V48, P1, DOI 10.1016/0304-3770(94)90070-1
Vonaesch P, 2018, FEMS MICROBIOL REV, V42, P273, DOI 10.1093/femsre/fuy003
Walker Allison K., 2009, Gulf and Caribbean Research, V21, P63
Walker D.I., 2001, SEAGRASS DECOMPOSITI, P313
Waycott M, 2009, P NATL ACAD SCI USA, V106, P12377, DOI 10.1073/pnas.0905620106
Webster NS, 2008, ENVIRON MICROBIOL, V10, P3366, DOI 10.1111/j.1462-2920.2008.01734.x
Webster NS, 2007, ENVIRON MICROBIOL, V9, P1363, DOI 10.1111/j.1462-2920.2007.01303.x
Weidner S, 2000, MICROBIAL ECOL, V39, P22, DOI 10.1007/s002489900194
WEISBURG WG, 1991, J BACTERIOL, V173, P697, DOI 10.1128/JB.173.2.697-703.1991
Welsh DT, 2000, ECOL LETT, V3, P58, DOI 10.1046/j.1461-0248.2000.00111.x
Whitten MMA, 2014, MICROBIOLOGYOPEN, V3, P395, DOI 10.1002/mbo3.174
Yoon J, 2015, ANTON LEEUW INT J G, V108, P505, DOI 10.1007/s10482-015-0504-5
Young EL, 1943, AM J BOT, V30, P586, DOI 10.2307/2437469
Zozaya-Valdés E, 2017, ENVIRON MICROBIOL, V19, P3012, DOI 10.1111/1462-2920.13758
Zozaya-Valdes E, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00146
NR 144
TC 2
Z9 3
PY 2021
VL 72
IS 9
BP 1303
EP 1320
DI 10.1071/MF20209
EA APR 2021
UT WOS:000635523900001
DA 2025-07-30
ER
PT J
AU Stewart, FJ
Dalsgaard, T
Young, CR
Thamdrup, B
Revsbech, NP
Ulloa, O
Canfield, DE
DeLong, EF
AF Stewart, Frank J.
Dalsgaard, Tage
Young, Curtis R.
Thamdrup, Bo
Revsbech, Niels Peter
Ulloa, Osvaldo
Canfield, Don E.
DeLong, Edward F.
TI Experimental Incubations Elicit Profound Changes in Community
Transcription in OMZ Bacterioplankton
SO PLOS ONE
DT Article
AB Sequencing of microbial community RNA (metatranscriptome) is a useful approach for assessing gene expression in microorganisms from the natural environment. This method has revealed transcriptional patterns in situ, but can also be used to detect transcriptional cascades in microcosms following experimental perturbation. Unambiguously identifying differential transcription between control and experimental treatments requires constraining effects that are simply due to sampling and bottle enclosure. These effects remain largely uncharacterized for "challenging" microbial samples, such as those from anoxic regions that require special handling to maintain in situ conditions. Here, we demonstrate substantial changes in microbial transcription induced by sample collection and incubation in experimental bioreactors. Microbial communities were sampled from the water column of a marine oxygen minimum zone by a pump system that introduced minimal oxygen contamination and subsequently incubated in bioreactors under near in situ oxygen and temperature conditions. Relative to the source water, experimental samples became dominated by transcripts suggestive of cell stress, including chaperone, protease, and RNA degradation genes from diverse taxa, with strong representation from SAR11-like alphaproteobacteria. In tandem, transcripts matching facultative anaerobic gammaproteobacteria of the Alteromonadales (e. g., Colwellia) increased 4-13 fold up to 43% of coding transcripts, and encoded a diverse gene set suggestive of protein synthesis and cell growth. We interpret these patterns as taxon-specific responses to combined environmental changes in the bioreactors, including shifts in substrate or oxygen availability, and minor temperature and pressure changes during sampling with the pump system. Whether such changes confound analysis of transcriptional patterns may vary based on the design of the experiment, the taxonomic composition of the source community, and on the metabolic linkages between community members. These data highlight the impressive capacity for transcriptional changes within complex microbial communities, underscoring the need for caution when inferring in situ metabolism based on transcript abundances in experimental incubations.
C1 [Stewart, Frank J.] Georgia Inst Technol, Atlanta, GA 30332 USA.
[Dalsgaard, Tage] Aarhus Univ, Dept Biosci, Silkeborg, Denmark.
[Young, Curtis R.; DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Thamdrup, Bo; Canfield, Don E.] Univ So Denmark, Inst Biol, Odense, Denmark.
[Thamdrup, Bo; Canfield, Don E.] Univ So Denmark, Nord Ctr Earth Evolut NordCEE, Odense, Denmark.
[Revsbech, Niels Peter] Aarhus Univ, Dept Biosci, Aarhus, Denmark.
[Ulloa, Osvaldo] Univ Concepcion, Dept Oceanog, Concepcion, Chile.
[Ulloa, Osvaldo] Univ Concepcion, Ctr Invest Oceanog Pacifico S Oriental, Concepcion, Chile.
RP Stewart, FJ (corresponding author), Georgia Inst Technol, Atlanta, GA 30332 USA.
EM frank.stewart@biology.gatech.edu
CR Allers E, 2008, APPL ENVIRON MICROB, V74, P3274, DOI 10.1128/AEM.01870-07
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
AMY PS, 1989, APPL ENVIRON MICROB, V55, P788, DOI 10.1128/AEM.55.4.788-793.1989
[Anonymous], 2005, AQUATIC GEOMICROBIOL
[Anonymous], MICROBIAL BIOSYSTEMS
Bullard JH, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-94
Calvo-Díaz A, 2011, APPL ENVIRON MICROB, V77, P5739, DOI 10.1128/AEM.00066-11
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
Codispoti LA, 2001, SCI MAR, V65, P85, DOI 10.3989/scimar.2001.65s285
DeLong EF, 1997, APPL ENVIRON MICROB, V63, P2105, DOI 10.1128/AEM.63.5.2105-2108.1997
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Feike J, 2012, ISME J, V6, P461, DOI 10.1038/ismej.2011.94
FOGG GE, 1989, HYDROBIOLOGIA, V173, P89, DOI 10.1007/BF00015518
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
GIESKES WWC, 1979, NETH J SEA RES, V13, P58, DOI 10.1016/0077-7579(79)90033-4
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Green J, 2004, NAT REV MICROBIOL, V2, P954, DOI 10.1038/nrmicro1022
Gruber N, 1997, GLOBAL BIOGEOCHEM CY, V11, P235, DOI 10.1029/97GB00077
Hammes F, 2010, APPL ENVIRON MICROB, V76, P1278, DOI 10.1128/AEM.01914-09
Hardcastle TJ, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-422
Huson DH, 2007, GENOME RES, V17, P377, DOI 10.1101/gr.5969107
Jensen MM, 2008, LIMNOL OCEANOGR, V53, P23, DOI 10.4319/lo.2008.53.1.0023
Karstensen J, 2008, PROG OCEANOGR, V77, P331, DOI 10.1016/j.pocean.2007.05.009
Kuypers MMM, 2005, P NATL ACAD SCI USA, V102, P6478, DOI 10.1073/pnas.0502088102
Lam P, 2011, ANNU REV MAR SCI, V3, P317, DOI 10.1146/annurev-marine-120709-142814
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Marshall K.C., 1996, BACTERIAL ADHESION, P59
MARTIN JH, 1991, LIMNOL OCEANOGR, V36, P1793, DOI 10.4319/lo.1991.36.8.1793
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Methé BA, 2005, P NATL ACAD SCI USA, V102, P10913, DOI 10.1073/pnas.0504766102
Morrison JM, 1999, DEEP-SEA RES PT II, V46, P1903, DOI 10.1016/S0967-0645(99)00048-X
PACE ML, 1994, MICROBIAL ECOL, V28, P181, DOI 10.1007/BF00166807
Pernthaler A, 2001, APPL ENVIRON MICROB, V67, P4077, DOI 10.1128/AEM.67.9.4077-4083.2001
Pernthaler J, 2005, MICROBIOL MOL BIOL R, V69, P440, DOI 10.1128/MMBR.69.3.440-461.2005
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
R Development Core Team, 2011, R: A language and environment for statistical computing
Revsbech NP, 2011, METHOD ENZYMOL, V486, P325, DOI [10.1016/S0076-6879(11)86014-3, 10.1016/B978-0-12-381294-0.00014-6]
Revsbech NP, 2009, LIMNOL OCEANOGR-METH, V7, P371, DOI 10.4319/lom.2009.7.371
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Shi YM, 2012, ENVIRON MICROBIOL, V14, P191, DOI 10.1111/j.1462-2920.2011.02598.x
Shi YM, 2009, NATURE, V459, P266, DOI 10.1038/nature08055
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Susin MF, 2006, J BACTERIOL, V188, P8044, DOI 10.1128/JB.00824-06
Suzuki R, 2006, BIOINFORMATICS, V22, P1540, DOI 10.1093/bioinformatics/btl117
TAM R, 1993, MICROBIOL REV, V57, P320, DOI 10.1128/MMBR.57.2.320-346.1993
Thamdrup B, 2006, LIMNOL OCEANOGR, V51, P2145, DOI 10.4319/lo.2006.51.5.2145
Uher G, 1997, LIMNOL OCEANOGR, V42, P432, DOI 10.4319/lo.1997.42.3.0432
Ulloa O, 2009, DEEP-SEA RES PT II, V56, P987, DOI 10.1016/j.dsr2.2008.12.004
Vila-Costa M, 2010, ISME J, V4, P1410, DOI 10.1038/ismej.2010.62
Zobell CE, 1936, BIOL BULL-US, V71, P324, DOI 10.2307/1537438
Zöllner E, 2009, LIMNOL OCEANOGR, V54, P262, DOI 10.4319/lo.2009.54.1.0262
NR 59
TC 60
Z9 66
PD MAY 16
PY 2012
VL 7
IS 5
SI 1
AR e37118
DI 10.1371/journal.pone.0037118
UT WOS:000305341300074
DA 2025-07-30
ER
PT J
AU Hunt, DE
Lin, YJ
Church, MJ
Karl, DM
Tringe, SG
Izzo, LK
Johnson, ZI
AF Hunt, Dana E.
Lin, Yajuan
Church, Matthew J.
Karl, David M.
Tringe, Susannah G.
Izzo, Lisa K.
Johnson, Zackary I.
TI Relationship between Abundance and Specific Activity of Bacterioplankton
in Open Ocean Surface Waters
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Marine microbial communities are complex and dynamic, and their ecology impacts biogeochemical cycles in pelagic ecosystems. Yet, little is known about the relative activities of different microbial populations within genetically diverse communities. We used rRNA as a proxy for activity to quantify the relative specific activities (rRNA/ribosomal DNA [rDNA or rRNA genes]) of the eubacterial populations and to identify locations or clades for which there are uncouplings between specific activity and abundance. After analyzing 1.6 million sequences from 16S rDNA and rRNA (cDNA) libraries from two euphotic depths from a representative site in the Pacific Ocean, we show that although there is an overall positive relationship between the abundances (rDNAs) and activities (rRNAs) among populations of the bacterial community, for some populations these measures are uncoupled. Different ecological strategies are exemplified by the two numerically dominant clades at this site: the cyanobacterium Prochlorococcus is abundant but disproportionately more active, while the heterotrophic SAR11 is abundant but less active. Other rare populations, such as Alteromonas, have high specific activities in spite of their low abundances, suggesting intense population regulation. More detailed analyses using a complementary quantitative PCR (qPCR)-based approach of measuring relative specific activity for Prochlorococcus populations in the Pacific and Atlantic Oceans also show that specific activity, but not abundance, reflects the key drivers of light and nutrients in this system; our results also suggest substantial top-down regulation (e.g., grazing, viruses, or organismal interactions) or transport (e.g., mixing, immigration, or emigration) of these populations. Thus, we show here that abundance and specific activity can be uncoupled in open ocean systems and that describing both is critical to characterizing microbial communities and predicting marine ecosystem functioning and responses to change.
C1 [Hunt, Dana E.; Lin, Yajuan; Izzo, Lisa K.; Johnson, Zackary I.] Duke Univ, Marine Lab, Nicholas Sch Environm, Beaufort, NC 28516 USA.
[Church, Matthew J.; Karl, David M.] Univ Hawaii, Dept Oceanog, Honolulu, HI 96822 USA.
[Tringe, Susannah G.] Joint Genome Inst, Dept Energy DOE, Walnut Creek, CA USA.
RP Johnson, ZI (corresponding author), Duke Univ, Marine Lab, Nicholas Sch Environm, Beaufort, NC 28516 USA.
EM zij@duke.edu
CR Acinas SG, 2004, J BACTERIOL, V186, P2629, DOI 10.1128/JB.186.9.2629-2635.2004
Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Ahlgren NA, 2006, ENVIRON MICROBIOL, V8, P441, DOI 10.1111/j.1462-2920.2005.00910.x
Apple JK, 2011, APPL ENVIRON MICROB, V77, P3074, DOI 10.1128/AEM.02241-10
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
Gihring TM, 2012, ENVIRON MICROBIOL, V14, P285, DOI 10.1111/j.1462-2920.2011.02550.x
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Johnson KS, 2010, LIMNOL OCEANOGR, V55, P615, DOI 10.4319/lo.2009.55.2.0615
Johnson KS, 2002, DEEP-SEA RES PT I, V49, P1291, DOI 10.1016/S0967-0637(02)00020-1
Johnson ZI, 2010, J MAR RES, V68, P283, DOI 10.1357/002224010793721433
Johnson ZI, 2009, P NATL ACAD SCI USA, V106, P10400, DOI 10.1073/pnas.0905187106
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
Kerkhof L, 1999, FEMS MICROBIOL ECOL, V30, P253
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Landry MR, 2002, DEEP-SEA RES PT II, V49, P2669, DOI 10.1016/S0967-0645(02)00053-X
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2010, ISME J, V4, P1252, DOI 10.1038/ismej.2010.60
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morgenroth E, 2000, WATER SCI TECHNOL, V41, P105, DOI 10.2166/wst.2000.0018
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Polz MF, 2006, PHILOS T R SOC B, V361, P2009, DOI 10.1098/rstb.2006.1928
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Worden AZ, 2003, J PHYCOL, V39, P527, DOI 10.1046/j.1529-8817.2003.01248.x
Zinser ER, 2006, APPL ENVIRON MICROB, V72, P723, DOI 10.1128/AEM.72.1.723-732.2006
NR 46
TC 113
Z9 131
PD JAN
PY 2013
VL 79
IS 1
BP 177
EP 184
DI 10.1128/AEM.02155-12
UT WOS:000312931600020
DA 2025-07-30
ER
PT J
AU Wietz, M
Gram, L
Jorgensen, B
Schramm, A
AF Wietz, Matthias
Gram, Lone
Jorgensen, Bo
Schramm, Andreas
TI Latitudinal patterns in the abundance of major marine bacterioplankton
groups
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB The present study describes the abundance of major marine bacterioplankton groups and 2 bacterial genera (Pseudoalteromonas and Vibrio) in surface seawater at 24 stations around the world. Catalyzed reporter deposition-fluorescence in situ hybridization showed that Alphaproteobacteria (average relative abundance 37%, average absolute abundance 3.7 x 10(5) cells ml(-1)) including SAR11 [30% / (3 x 10(5))], Gammaproteobacteria [14% / (1.2 x 10(5))] and Bacteroidetes [12% / (1.3 x 10(5))] globally dominated the bacterioplankton. The SAR86 clade [4.6% / (4.1 x 10(4))] and Actinobacteria [4.5% / (4 x 10(4))] were detected ubiquitously, whereas Archaea were scarce [0.6% / (4.2 x 10(3))]. The Roseobacter clade [averaging 3.8% / (3.5 x 10(4))], Pseudoalteromonas [2.6% / (2.1 x 10(4))] and Vibrio [1.5% / (1.3 x 10(4))] showed cosmopolitan occurrence. Principal component analysis revealed a latitudinal pattern in bacterial abundances by clustering samples according to lower and higher latitudes. This was related to significantly different relative abundances of Bacteroidetes (peaking at higher latitudes) and of unclassified Bacteria and Vibrio (both peaking at lower latitudes) between warmer and colder oceans. Relative abundances of Alphaproteobacteria (peaking at subtropical) and Gammaproteobacteria (polar stations) varied between major oceanic biomes, as did absolute abundances of Roseobacter (peaking at temperate and polar stations). For almost all groups, absolute abundances were positively correlated with nutrient concentrations in warmer oceans and negatively correlated with oxygen saturation in colder oceans. On a global scale, Roseobacter and SAR86 were correlated with chlorophyll a. Linkages of environmental parameters with relative abundances were more complex, with e. g. Bacteroidetes being associated with chlorophyll a. The finding of differing communities in warmer and colder oceans underlined the presence of biogeographical patterns among marine bacteria and the influence of environmental parameters on bacterial distribution.
C1 [Wietz, Matthias; Gram, Lone; Jorgensen, Bo] Tech Univ Denmark, Natl Food Inst, DK-2800 Lyngby, Denmark.
[Schramm, Andreas] Aarhus Univ, Dept Biol Sci, DK-8000 Aarhus, Denmark.
RP Wietz, M (corresponding author), Tech Univ Denmark, Natl Food Inst, DK-2800 Lyngby, Denmark.
EM mwi@aqua.dtu.dk
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], 1997, THESIS TU MUNICH GER
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Baas Becking L.G.M., 1934, GEOBIOLOGIE INLEIDIN
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Baltar F, 2007, AQUAT MICROB ECOL, V50, P63, DOI 10.3354/ame01156
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bouman HA, 2006, SCIENCE, V312, P918, DOI 10.1126/science.1122692
Bowman JP, 2007, MAR DRUGS, V5, P220, DOI 10.3390/md504220
Cohan FM, 2002, ANNU REV MICROBIOL, V56, P457, DOI 10.1146/annurev.micro.56.012302.160634
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dolan JR, 2005, AQUAT MICROB ECOL, V41, P39, DOI 10.3354/ame041039
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fandino LB, 2005, AQUAT MICROB ECOL, V40, P251, DOI 10.3354/ame040251
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Giuliano L, 1999, MICROBIAL ECOL, V37, P77
Gram L, 2010, MAR BIOTECHNOL, V12, P439, DOI 10.1007/s10126-009-9233-y
Heidelberg JF, 2002, APPL ENVIRON MICROB, V68, P5488, DOI 10.1128/AEM.68.11.5488-5497.2002
Holmström C, 1999, FEMS MICROBIOL ECOL, V30, P285, DOI 10.1111/j.1574-6941.1999.tb00656.x
Huggett MJ, 2008, AQUAT MICROB ECOL, V53, P161, DOI 10.3354/ame01239
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Levin LA, 2001, ANNU REV ECOL SYST, V32, P51, DOI 10.1146/annurev.ecolsys.32.081501.114002
Longhurst A.R., 2010, ECOLOGICAL GEOGRAPHY, V2
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Martens H., 2001, MULTIVARIATE ANAL QU
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Pinhassi J, 2003, MAR ECOL PROG SER, V255, P1, DOI 10.3354/meps255001
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
ROLLER C, 1994, MICROBIOL-UK, V140, P2849, DOI 10.1099/00221287-140-10-2849
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Skovhus TL, 2007, FEMS MICROBIOL ECOL, V61, P348, DOI 10.1111/j.1574-6941.2007.00339.x
Taniguchi A, 2008, ENVIRON MICROBIOL, V10, P1007, DOI 10.1111/j.1462-2920.2007.01521.x
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Teira E, 2006, LIMNOL OCEANOGR, V51, P2131, DOI 10.4319/lo.2006.51.5.2131
Thompson FL, 2006, BIOLOGY OF VIBRIOS, pXIII
Topping JN, 2006, AQUAT MICROB ECOL, V45, P229, DOI 10.3354/ame045229
Van der Gucht K, 2007, P NATL ACAD SCI USA, V104, P20404, DOI 10.1073/pnas.0707200104
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
WALLNER G, 1993, CYTOMETRY, V14, P133
NR 58
TC 100
Z9 108
PY 2010
VL 61
IS 2
BP 179
EP 189
DI 10.3354/ame01443
UT WOS:000284005000007
DA 2025-07-30
ER
PT J
AU Davis, JJ
Olsen, GJ
AF Davis, James J.
Olsen, Gary J.
TI Characterizing the Native Codon Usages of a Genome: An Axis Projection
Approach
SO MOLECULAR BIOLOGY AND EVOLUTION
DT Article
AB Codon usage can provide insights into the nature of the genes in a genome. Genes that are "native" to a genome (have not been recently acquired by horizontal transfer) range in codon usage from a low-bias "typical" usage to a more biased "high-expression" usage characteristic of genes encoding abundant proteins. Genes that differ from these native codon usages are candidates for foreign genes that have been recently acquired by horizontal gene transfer. In this study, we present a method for characterizing the codon usages of native genes-both typical and highly expressed-within a genome. Each gene is evaluated relative to a half line (or axis) in a 59D space of codon usage. The axis begins at the modal codon usage, the usage that matches the largest number of genes in the genome, and it passes through a point representing the codon usage of a set of genes with expression-related bias. A gene whose codon usage matches (does not significantly differ from) a point on this axis is a candidate native gene, and the location of its projection onto the axis provides a general estimate of its expression level. A gene that differs significantly from all points on the axis is a candidate foreign gene. This automated approach offers significant improvements over existing methods. We illustrate this by analyzing the genomes of Pseudomonas aeruginosa PAO1 and Bacillus anthracis A0248, which can be difficult to analyze with commonly used methods due to their biased base compositions. Finally, we use this approach to measure the proportion of candidate foreign genes in 923 bacterial and archaeal genomes. The organisms with the most homogeneous genomes (containing the fewest candidate foreign genes) are mostly endosymbionts and parasites, though with exceptions that include Pelagibacter ubique and Beutenbergia cavernae. The organisms with the most heterogeneous genomes (containing the most candidate foreign genes) include members of the genera Bacteroides, Corynebacterium, Desulfotalea, Neisseria, Xylella, and Thermobaculum.
C1 [Davis, James J.; Olsen, Gary J.] Univ Illinois, Dept Microbiol, Urbana, IL 61801 USA.
[Davis, James J.; Olsen, Gary J.] Univ Illinois, Inst Genom Biol, Urbana, IL 61801 USA.
RP Olsen, GJ (corresponding author), Univ Illinois, Dept Microbiol, 131 Burrill Hall, Urbana, IL 61801 USA.
EM gary@life.illinois.edu
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Andersson SGE, 1996, J MOL EVOL, V42, P525, DOI 10.1007/BF02352282
Badger JH, 1999, THESIS U ILLINOIS UR, P45
Banerjee T, 2006, J BIOMOL STRUCT DYN, V23, P547, DOI 10.1080/07391102.2006.10507079
BENNETZEN JL, 1982, J BIOL CHEM, V257, P3026
BERNARDI G, 1985, SCIENCE, V228, P953, DOI 10.1126/science.4001930
BERNARDI G, 1989, ANNU REV GENET, V23, P637, DOI 10.1146/annurev.ge.23.120189.003225
Carbone A, 2003, BIOINFORMATICS, V19, P2005, DOI 10.1093/bioinformatics/btg272
Chen SL, 2006, P NATL ACAD SCI USA, V103, P5977, DOI 10.1073/pnas.0600938103
Daubin V, 2004, GENOME RES, V14, P1036, DOI 10.1101/gr.2231904
Davis JJ, 2010, MOL BIOL EVOL, V27, P800, DOI 10.1093/molbev/msp281
Duret L, 1999, P NATL ACAD SCI USA, V96, P4482, DOI 10.1073/pnas.96.8.4482
Fukiya S, 2004, J BACTERIOL, V186, P3911, DOI 10.1128/JB.186.12.3911-3921.2004
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
GRANTHAM R, 1981, NUCLEIC ACIDS RES, V9, pR43
GRANTHAM R, 1980, NUCLEIC ACIDS RES, V8, pR49, DOI 10.1093/nar/8.1.197-c
GRIBSKOV M, 1984, NUCLEIC ACIDS RES, V12, P539, DOI 10.1093/nar/12.1Part2.539
Grocock RJ, 2002, GENE, V289, P131, DOI 10.1016/S0378-1119(02)00503-6
Groth I, 1999, INT J SYST BACTERIOL, V49, P1733, DOI 10.1099/00207713-49-4-1733
Gupta SK, 2001, GENE, V273, P63, DOI 10.1016/S0378-1119(01)00576-5
Herbeck JT, 2003, MICROBIOL-SGM, V149, P2585, DOI 10.1099/mic.0.26381-0
Hiraoka Y, 2009, GENES CELLS, V14, P499, DOI 10.1111/j.1365-2443.2009.01284.x
IKEMURA T, 1981, J MOL BIOL, V146, P1, DOI 10.1016/0022-2836(81)90363-6
IKEMURA T, 1981, J MOL BIOL, V151, P389, DOI 10.1016/0022-2836(81)90003-6
Kanaya S, 2001, J MOL EVOL, V53, P290, DOI 10.1007/s002390010219
Karlin S, 2000, J BACTERIOL, V182, P5238, DOI 10.1128/JB.182.18.5238-5250.2000
Kloster M, 2008, NUCLEIC ACIDS RES, V36, P3819, DOI 10.1093/nar/gkn288
Lawrence JG, 1997, J MOL EVOL, V44, P383, DOI 10.1007/PL00006158
Lee DG, 2006, GENOME BIOL, V7, DOI 10.1186/gb-2006-7-10-r90
MCLACHLAN AD, 1984, NUCLEIC ACIDS RES, V12, P9567, DOI 10.1093/nar/12.24.9567
MEDIGUE C, 1991, J MOL BIOL, V222, P851, DOI 10.1016/0022-2836(91)90575-Q
Nelson KE, 2010, SCIENCE, V328, P994, DOI 10.1126/science.1183605
Nelson KE, 2002, ENVIRON MICROBIOL, V4, P799, DOI 10.1046/j.1462-2920.2002.00366.x
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Peden JF, 1999, THESIS U NOTTINGHAM, P50
Plotkin JB, 2004, P NATL ACAD SCI USA, V101, P12588, DOI 10.1073/pnas.0404957101
POST LE, 1979, P NATL ACAD SCI USA, V76, P1697, DOI 10.1073/pnas.76.4.1697
Puigbò P, 2007, NUCLEIC ACIDS RES, V35, pW126, DOI 10.1093/nar/gkm219
Rasko DA, 2008, J BACTERIOL, V190, P6881, DOI 10.1128/JB.00619-08
Rispe C, 2004, GENOME RES, V14, P44, DOI 10.1101/gr.1358104
Sémon M, 2006, MOL BIOL EVOL, V23, P523, DOI 10.1093/molbev/msj053
SHARP PM, 1989, NUCLEIC ACIDS RES, V17, P5029, DOI 10.1093/nar/17.13.5029
SHARP PM, 1986, NUCLEIC ACIDS RES, V14, P7737, DOI 10.1093/nar/14.19.7737
SHARP PM, 1991, YEAST, V7, P657, DOI 10.1002/yea.320070702
SHARP PM, 1987, NUCLEIC ACIDS RES, V15, P1281, DOI 10.1093/nar/15.3.1281
SHIELDS DC, 1988, MOL BIOL EVOL, V5, P704
Tettelin H, 2005, P NATL ACAD SCI USA, V102, P13950, DOI 10.1073/pnas.0506758102
Tuller T, 2010, CELL, V141, P344, DOI 10.1016/j.cell.2010.03.031
Wang HC, 2007, BMC EVOL BIOL, V7, DOI 10.1186/1471-2148-7-S1-S6
Wernegreen JJ, 1999, MOL BIOL EVOL, V16, P83, DOI 10.1093/oxfordjournals.molbev.a026040
NR 50
TC 19
Z9 31
PD JAN
PY 2011
VL 28
IS 1
BP 211
EP 221
DI 10.1093/molbev/msq185
UT WOS:000285418600026
DA 2025-07-30
ER
PT J
AU Hill, PG
Heywood, JL
Holland, RJ
Purdie, DA
Fuchs, BM
Zubkov, MV
AF Hill, Polly G.
Heywood, Jane L.
Holland, Ross J.
Purdie, Duncan A.
Fuchs, Bernhard M.
Zubkov, Mikhail V.
TI Internal and External Influences on Near-Surface Microbial Community
Structure in the Vicinity of the Cape Verde Islands
SO MICROBIAL ECOLOGY
DT Article
AB Microbial community structure in the subtropical north-east Atlantic Ocean was compared between 2 years and variation attributed to environmental variables. Surface seawater communities were analysed by flow cytometry and fluorescence in situ hybridisation. Probes specific to Alphaproteobacteria, Cyanobacteria, Gammaproteobacteria and Bacteroidetes identified 67-100% of cells. Due to natural variation in the study region due to the occurrence of major currents and islands, data could not be pooled but were instead divided between distinct water masses. Community structure did not differ greatly around the Cape Verde Islands between sampling periods but varied substantially in the open ocean, suggesting different environmental perturbations favour specific bacterial groups. Wind speed varied significantly between years, with moderate to strong breeze in winter 2008 and gales in winter 2006 (8.9 +/- 0.2 ms(-1) and 16.0 +/- 0.4 ms(-1), respectively). Enhanced wind-driven turbulence was associated with domination by the SAR11 clade of Alphaproteobacteria, which were present at 2.4-fold in the abundance of Prochlorococcus (41.8 +/- 1.6% cells, compared to 17.7 +/- 7.1%). Conversely, the calmer conditions of 2008 seemed to favour Prochlorococcus (40.0 +/- 1.2% cells). Prochlorococcus high-light adapted clade HLI were only numerous during wind-driven turbulence, whereas oligotrophic-adapted clade HLII dominated under calm conditions. Bacteroidetes were most prominent in turbulent conditions (9.5 +/- 1.3% cells as opposed to 4.7 +/- 0.3%), as were Synechococcus. In 2008, a considerable dust deposition event occurred in the region, which may have led to the substantial Gammaproteobacteria population (22.5 +/- 4.0% cells compared to 4.6 +/- 0.6% in 2006). Wind-driven turbulence may have a significant impact on microbial community structure in the surface ocean. Therefore, community change following dust storm events may be linked to associated wind in addition to dust-derived nutrients.
C1 [Hill, Polly G.; Purdie, Duncan A.] Univ Southampton, Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England.
[Heywood, Jane L.] Univ Bremen, Fac Biol Chem, D-28359 Bremen, Germany.
[Fuchs, Bernhard M.] Max Planck Inst Microbiol, D-28359 Bremen, Germany.
RP Hill, PG (corresponding author), Univ Southampton, Natl Oceanog Ctr, European Way, Southampton SO14 3ZH, Hants, England.
EM polly.hill@noc.ac.uk
CR AGRAWAL YC, 1992, NATURE, V359, P219, DOI 10.1038/359219a0
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Baker AR, 2007, DEEP-SEA RES PT I, V54, P1704, DOI 10.1016/j.dsr.2007.07.001
BONILLAFINDJI O, 2010, BIOGEOSCIENCES DISCU, V7, P2033
Bonnet S, 2005, LIMNOL OCEANOGR, V50, P1810, DOI 10.4319/lo.2005.50.6.1810
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
GOERICKE R, 1993, DEEP-SEA RES PT I, V40, P2283, DOI 10.1016/0967-0637(93)90104-B
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Herut B, 2005, DEEP-SEA RES PT II, V52, P3024, DOI 10.1016/j.dsr2.2005.09.003
Heywood JL, 2006, DEEP-SEA RES PT II, V53, P1530, DOI 10.1016/j.dsr2.2006.05.005
Hill PG, 2010, FEMS MICROBIOL LETT, V306, P82, DOI 10.1111/j.1574-6968.2010.01940.x
JICKELLS T, 1995, MAR CHEM, V48, P199, DOI 10.1016/0304-4203(95)92784-P
Jickells TD, 2005, SCIENCE, V308, P67, DOI 10.1126/science.1105959
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kerkhof LJ, 1999, HYDROBIOLOGIA, V401, P139, DOI 10.1023/A:1003734310515
Laghdass M, 2011, AQUAT MICROB ECOL, V62, P201, DOI 10.3354/ame01466
LI WKW, 1994, LIMNOL OCEANOGR, V39, P169, DOI 10.4319/lo.1994.39.1.0169
LINDELL D, 1995, LIMNOL OCEANOGR, V40, P1130, DOI 10.4319/lo.1995.40.6.1130
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
OLSON R.J., 1993, HDB METHODS AQUATIC, P175
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Paytan A, 2009, P NATL ACAD SCI USA, V106, P4601, DOI 10.1073/pnas.0811486106
Pelegrí JL, 2006, PROG OCEANOGR, V70, P366, DOI 10.1016/j.pocean.2006.03.018
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Pulido-Villena E, 2008, AQUAT SCI, V70, P1, DOI 10.1007/s00027-007-0944-8
Pulido-Villena E, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003091
Reche I, 2009, LIMNOL OCEANOGR, V54, P869, DOI 10.4319/lo.2009.54.3.0869
Rosenfeld D, 2001, P NATL ACAD SCI USA, V98, P5975, DOI 10.1073/pnas.101122798
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
SIMPSON JH, 1982, CONT SHELF RES, V1, P15, DOI 10.1016/0278-4343(82)90030-9
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
TROUSSELLIER M, 1993, LIMNOL OCEANOGR, V38, P193
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
WELSCHMEYER NA, 1994, LIMNOL OCEANOGR, V39, P1985, DOI 10.4319/lo.1994.39.8.1985
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 2006, CYTOM PART A, V69A, P1010, DOI 10.1002/cyto.a.20332
Zubkov MV, 2000, PROG OCEANOGR, V45, P369, DOI 10.1016/S0079-6611(00)00008-2
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 50
TC 7
Z9 9
PD JAN
PY 2012
VL 63
IS 1
BP 139
EP 148
DI 10.1007/s00248-011-9952-2
UT WOS:000299084000014
DA 2025-07-30
ER
PT J
AU Han, MAX
Sun, JH
Yang, QW
Liang, YT
Jiang, Y
Gao, C
Gu, CX
Liu, Q
Chen, XC
Liu, G
Shao, HB
Guo, C
He, H
Wang, HL
Sung, YY
Mok, WJ
Wong, LL
Wang, ZL
McMinn, A
Wang, M
AF Han, Meiaoxue
Sun, Jianhua
Yang, Qingwei
Liang, Yantao
Jiang, Yong
Gao, Chen
Gu, Chengxiang
Liu, Qian
Chen, Xuechao
Liu, Gang
Shao, Hongbing
Guo, Cui
He, Hui
Wang, Hualong
Sung, Yeong Yik
Mok, Wen Jye
Wong, Li Lian
Wang, Zongling
McMinn, Andrew
Wang, Min
TI Spatiotemporal Dynamics of Coastal Viral Community Structure and
Potential Biogeochemical Roles Affected by an Ulva prolifera Green Tide
SO MSYSTEMS
DT Article
AB To the best of our knowledge, this study is the first to investigate the responses of viruses to the world's largest macroalgal green tide. It revealed the spatiotemporal dynamics of the unique viral assemblages and auxiliary metabolic genes (AMGs) following the variation and degradation of Ulva prolifera. These findings demonstrate a tight coupling between viral assemblages, and prokaryotic and eukaryotic abundances were influenced by the green tide.
The world's largest macroalgal green tide, caused by Ulva prolifera, has resulted in serious consequences for coastal waters of the Yellow Sea, China. Although viruses are considered to be one of the key factors in controlling microalgal bloom demise, understanding of the relationship between viral communities and the macroalgal green tide is still poor. Here, a Qingdao coastal virome (QDCV) time-series data set was constructed based on the metagenomic analysis of 17 DNA viromes along three coastal stations of the Yellow Sea, covering different stages of the green tide from Julian days 165 to 271. A total of 40,076 viral contigs were detected and clustered into 28,058 viral operational taxonomic units (vOTUs). About 84% of the vOTUs could not be classified, and 62% separated from vOTUs in other ecosystems. Green tides significantly influenced the spatiotemporal dynamics of the viral community structure, diversity, and potential functions. For the classified vOTUs, the relative abundance of Pelagibacter phages declined with the arrival of the bloom and rebounded after the bloom, while Synechococcus and Roseobacter phages increased, although with a time lag from the peak of their hosts. More than 80% of the vOTUs reached peaks in abundance at different specific stages, and the viral peaks were correlated with specific hosts at different stages of the green tide. Most of the viral auxiliary metabolic genes (AMGs) were associated with carbon and sulfur metabolism and showed spatiotemporal dynamics relating to the degradation of the large amount of organic matter released by the green tide.IMPORTANCE To the best of our knowledge, this study is the first to investigate the responses of viruses to the world's largest macroalgal green tide. It revealed the spatiotemporal dynamics of the unique viral assemblages and auxiliary metabolic genes (AMGs) following the variation and degradation of Ulva prolifera. These findings demonstrate a tight coupling between viral assemblages, and prokaryotic and eukaryotic abundances were influenced by the green tide.
C1 [Han, Meiaoxue; Sun, Jianhua; Yang, Qingwei; Liang, Yantao; Jiang, Yong; Gao, Chen; Gu, Chengxiang; Liu, Qian; Chen, Xuechao; Liu, Gang; Shao, Hongbing; Guo, Cui; He, Hui; Wang, Hualong; McMinn, Andrew; Wang, Min] Ocean Univ China, Inst Evolut & Marine Biodivers, Coll Marine Life Sci, Key Lab Polar Oceanog & Global Ocean Change, Qingdao, Peoples R China.
[Liang, Yantao; Shao, Hongbing; Guo, Cui; He, Hui; Wang, Hualong; Sung, Yeong Yik; Mok, Wen Jye; Wong, Li Lian; Wang, Min] Univ Malaysia Terengganu Ocean Univ China Joint Ct, Qingdao, Peoples R China.
[Sung, Yeong Yik; Mok, Wen Jye; Wong, Li Lian] Univ Malaysia Terengganu, Inst Marine Biotechnol, Kuala Nerus, Malaysia.
[Wang, Zongling] Minist Nat Resources, Inst Oceanog 1, Key Lab Marine Ecoenvironm Sci & Technol, Qingdao, Peoples R China.
[McMinn, Andrew] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia.
[Wang, Min] Ocean Univ China, Haide Coll, Qingdao, Peoples R China.
[Wang, Min] Qingdao Univ, Affiliated Hosp, Qingdao, Peoples R China.
RP Liang, YT; McMinn, A; Wang, M (corresponding author), Ocean Univ China, Inst Evolut & Marine Biodivers, Coll Marine Life Sci, Key Lab Polar Oceanog & Global Ocean Change, Qingdao, Peoples R China.; Liang, YT; Wang, M (corresponding author), Univ Malaysia Terengganu Ocean Univ China Joint Ct, Qingdao, Peoples R China.; Wang, ZL (corresponding author), Minist Nat Resources, Inst Oceanog 1, Key Lab Marine Ecoenvironm Sci & Technol, Qingdao, Peoples R China.; McMinn, A (corresponding author), Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia.; Wang, M (corresponding author), Ocean Univ China, Haide Coll, Qingdao, Peoples R China.; Wang, M (corresponding author), Qingdao Univ, Affiliated Hosp, Qingdao, Peoples R China.
EM liangyantao@ouc.edu.cn; wangzl@fio.org.cn; andrew.mcminn@utas.edu.au;
mingwang@ouc.edu.cn
CR AFFRONTI LF, 1993, J PLANKTON RES, V15, P1, DOI 10.1093/plankt/15.1.1
Agawin NSR, 2000, MAR ECOL PROG SER, V206, P97, DOI 10.3354/meps206097
Alarcón-Schumacher T, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01014
Anderson CL, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0374-3
[Anonymous], 1997, BRAN LUEBBE AUTOANAL
Arkhipova K, 2018, ISME J, V12, P199, DOI 10.1038/ismej.2017.157
Bartlau N, 2022, ISME J, V16, P555, DOI 10.1038/s41396-021-01097-4
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chen J, 2020, WATER RES, V185, DOI 10.1016/j.watres.2020.116268
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P1195, DOI 10.1128/AEM.66.3.1195-1201.2000
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
Coutinho FH, 2021, PATTERNS, V2, DOI 10.1016/j.patter.2021.100274
El-Gebali S, 2019, NUCLEIC ACIDS RES, V47, pD427, DOI 10.1093/nar/gky995
Emerson JB, 2018, NAT MICROBIOL, V3, P870, DOI 10.1038/s41564-018-0190-y
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Gao C, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.01160-21
Gnaim R, 2021, BIORESOURCE TECHNOL, V328, DOI 10.1016/j.biortech.2021.124815
Gong Z, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02981
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Gu CX, 2021, ISCIENCE, V24, DOI 10.1016/j.isci.2021.103439
Guan CW, 2014, BIOL CONTROL, V76, P79, DOI 10.1016/j.biocontrol.2014.05.007
Henriques AC, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0125735
Hurwitz BL, 2016, CURR OPIN MICROBIOL, V31, P161, DOI 10.1016/j.mib.2016.04.002
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jin M, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0675-9
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kieft K, 2021, CELL REP, V36, DOI 10.1016/j.celrep.2021.109471
Kieft K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23698-5
Kieft K, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00867-0
Kranzler CF, 2019, NAT MICROBIOL, V4, P1790, DOI 10.1038/s41564-019-0502-x
Kuhlisch C, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abf4680
Laber CP, 2018, NAT MICROBIOL, V3, P537, DOI 10.1038/s41564-018-0128-4
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Laslett D, 2004, NUCLEIC ACIDS RES, V32, P11, DOI 10.1093/nar/gkh152
Li B, 2010, BIOINFORMATICS, V26, P493, DOI 10.1093/bioinformatics/btp692
Li HM, 2016, SCI REP-UK, V6, DOI 10.1038/srep26498
Li ZX, 2021, ISME J, V15, P2366, DOI 10.1038/s41396-021-00932-y
Liang JC, 2021, ENVIRON INT, V155, DOI 10.1016/j.envint.2021.106687
Liang Y, 2016, POLAR BIOL, V39, P365, DOI 10.1007/s00300-015-1787-8
Liang YT, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01951
Malitsky S, 2016, NEW PHYTOL, V210, P88, DOI 10.1111/nph.13852
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Marshall K, 2006, MICROB ECOL, V52, P302, DOI 10.1007/s00248-006-9060-x
Martin M., 2011, EMBnet J, V17, P10
Martínez JM, 2012, FEMS MICROBIOL ECOL, V81, P315, DOI 10.1111/j.1574-6941.2012.01349.x
Mikheenko A, 2016, BIOINFORMATICS, V32, P1088, DOI 10.1093/bioinformatics/btv697
Miller TR, 2004, APPL ENVIRON MICROB, V70, P3383, DOI 10.1128/AEM.70.6.3383-3391.2004
Mock T, 2005, PHOTOSYNTH RES, V85, P307, DOI 10.1007/s11120-005-5668-9
Morimoto D, 2020, ENV MICROBIOL REP, V12, P486, DOI 10.1111/1758-2229.12872
Murrel MC, 2004, J PLANKTON RES, V26, P371, DOI 10.1093/plankt/fbh038
Nemergut DR, 2013, MICROBIOL MOL BIOL R, V77, P342, DOI 10.1128/MMBR.00051-12
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Randow F, 2009, NAT CELL BIOL, V11, P527, DOI 10.1038/ncb0509-527
Ren J, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0283-5
Rho M, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002441
Roux S, 2021, NUCLEIC ACIDS RES, V49, pD764, DOI 10.1093/nar/gkaa946
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Sabbagh EI, 2020, FEMS MICROBIOL ECOL, V96, DOI 10.1093/femsec/fiaa033
Schleyer G, 2019, NAT MICROBIOL, V4, P527, DOI 10.1038/s41564-018-0336-y
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Smetacek V, 2013, NATURE, V504, P84, DOI 10.1038/nature12860
Souza CP, 2011, MAR BIOTECHNOL, V13, P823, DOI 10.1007/s10126-011-9388-1
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Vardi A, 2009, SCIENCE, V326, P861, DOI 10.1126/science.1177322
von Meijenfeldt FAB, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1817-x
Wang C, 2012, HARMFUL ALGAE, V16, P12, DOI 10.1016/j.hal.2011.12.007
Wang JH, 2020, ECOL INDIC, V113, DOI 10.1016/j.ecolind.2020.106211
Wang K, 2011, APPL ENVIRON MICROB, V77, P7459, DOI 10.1128/AEM.00267-11
Wang WP, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.01261-18
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Westrich JR, 2016, P NATL ACAD SCI USA, V113, P5964, DOI 10.1073/pnas.1518080113
Woodhouse JN, 2016, ISME J, V10, P1337, DOI 10.1038/ismej.2015.218
Xiao J, 2021, HARMFUL ALGAE, V107, DOI 10.1016/j.hal.2021.102061
Yang QW, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11020095
Zhang T, 2017, MAR POLLUT BULL, V125, P192, DOI 10.1016/j.marpolbul.2017.08.029
Zhang XH, 2018, SCI CHINA EARTH SCI, V61, P1357, DOI 10.1007/s11430-017-9229-x
Zhang XL, 2015, ESTUAR COAST SHELF S, V163, P75, DOI 10.1016/j.ecss.2014.12.015
Zhang YY, 2019, NATL SCI REV, V6, P825, DOI 10.1093/nsr/nwz026
Zhao JY, 2022, ENVIRON SCI TECHNOL, V56, P3056, DOI 10.1021/acs.est.1c06502
Zimmerman AE, 2020, NAT REV MICROBIOL, V18, P21, DOI 10.1038/s41579-019-0270-x
NR 83
TC 5
Z9 6
PD APR 27
PY 2023
VL 8
IS 2
DI 10.1128/msystems.01211-22
EA FEB 2023
UT WOS:000937495400001
DA 2025-07-30
ER
PT J
AU Guo, RY
Ma, X
Zhang, JJ
Liu, CG
Thu, CA
Win, TN
Aung, NL
Win, HS
Naing, S
Li, HL
Zhou, F
Wang, PB
AF Guo, Ruoyu
Ma, Xiao
Zhang, Jingjing
Liu, Chenggang
Thu, Chit Aung
Win, Tun Naing
Aung, Nyan Lin
Win, Hlaing Swe
Naing, Sanda
Li, Hongliang
Zhou, Feng
Wang, Pengbin
TI Microbial community structures and important taxa across oxygen
gradients in the Andaman Sea and eastern Bay of Bengal epipelagic waters
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB In oceanic oxygen minimum zones (OMZs), the abundances of aerobic organisms significantly decrease and energy shifts from higher trophic levels to microorganisms, while the microbial communities become critical drivers of marine biogeochemical cycling activities. However, little is known of the microbial ecology of the Andaman Sea and eastern Bay of Bengal (BoB) OMZs. In the present study, a total of 131 samples which from the Andaman Sea and eastern BoB epipelagic waters were analyzed. The microbial community distribution patterns across oxygen gradients, including oxygenic zones (OZs, dissolved oxygen [DO] >= 2 mg/L), oxygen limited zones (OLZs, 0.7 mg/L < DO < 2 mg/L), and OMZs (DO <= 0.7 mg/L), were investigated. Mantel tests and Spearman's correlation analysis revealed that DO was the most important driver of microbial community structures among several environmental factors. Microbial diversity, richness, and evenness were highest in the OLZs and lowest in the OZs. The microbial community compositions of OZ and OMZ waters were significantly different. Random forest analysis revealed 24 bioindicator taxa that differentiated OZ, OLZ, and OMZ water communities. These bioindicator taxa included Burkholderiaceae, HOC36, SAR11 Clade IV, Thioglobaceae, Nitrospinaceae, SAR86, and UBA10353. Further, co-occurrence network analysis revealed that SAR202, AEGEAN-169, UBA10353, SAR406, and Rhodobacteraceae were keystone taxa among the entire interaction network of the microbial communities. Functional prediction further indicated that the relative abundances of microbial populations involved in nitrogen and sulfur cycling were higher in OMZs. Several microbial taxa, including the Thioglobaceae, Nitrospinaceae, SAR202, SAR406, WPS-2, UBA10353, and Woeseiaceae, may be involved in nitrogen and/or sulfur cycling, while also contributing to oxygen consumption in these waters. This study consequently provides new insights into the microbial community structures and potentially important taxa that contribute to oxygen consumption in the Andaman Sea and eastern BoB OMZ.
C1 [Guo, Ruoyu; Zhang, Jingjing; Liu, Chenggang; Li, Hongliang; Wang, Pengbin] Minist Nat Resources, Inst Oceanog 2, Key Lab Marine Ecosyst Dynam, Hangzhou, Peoples R China.
[Guo, Ruoyu; Ma, Xiao; Zhou, Feng; Wang, Pengbin] Minist Nat Resources, Observat & Res Stn Yangtze River Delta Marine Ecos, Zhoushan, Peoples R China.
[Ma, Xiao; Zhou, Feng] Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Peoples R China.
[Thu, Chit Aung] Res & Dev Sect, Dept Fisheries, Naypyidaw, Myanmar.
[Win, Tun Naing] Minist Transport & Commun, Dept Meteorol & Hydrol, Naypyidaw, Myanmar.
[Aung, Nyan Lin] Minist Nat Resources & Environm Conservat, Environm Conservat Dept, Naypyidaw, Myanmar.
[Win, Hlaing Swe] Minist Educ, Dept Res Innovat, Natl Analyt Lab, Naypyidaw, Myanmar.
[Naing, Sanda] Myanmar Maritime Univ, Port & Harbour Engn Dept, Thanlyin, Myanmar.
RP Wang, PB (corresponding author), Minist Nat Resources, Inst Oceanog 2, Key Lab Marine Ecosyst Dynam, Hangzhou, Peoples R China.; Zhou, F; Wang, PB (corresponding author), Minist Nat Resources, Observat & Res Stn Yangtze River Delta Marine Ecos, Zhoushan, Peoples R China.; Zhou, F (corresponding author), Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Peoples R China.
EM zhoufeng@sio.org.cn; algae@sio.org.cn
CR Allers E, 2013, ISME J, V7, P256, DOI 10.1038/ismej.2012.108
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Banerjee S, 2018, NAT REV MICROBIOL, V16, P567, DOI 10.1038/s41579-018-0024-1
Begmatov S, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9112362
Beman JM, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-27381-7
Beman JM, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3705
Berry D, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00219
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Breitburg D, 2018, SCIENCE, V359, P46, DOI 10.1126/science.aam7240
Bristow LA, 2017, NAT GEOSCI, V10, P24, DOI [10.1038/NGEO2847, 10.1038/ngeo2847]
Bush T, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00912-x
Callbeck CM, 2021, LIMNOL OCEANOGR, V66, P2360, DOI 10.1002/lno.11759
Callbeck CM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04041-x
Campbell LG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0209055
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
Chun SJ, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.147046
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Martins PD, 2021, MICROBIOLOGYOPEN, V10, DOI 10.1002/mbo3.1175
Deutsch C, 2011, SCIENCE, V333, P336, DOI 10.1126/science.1202422
Diaz RJ, 2008, SCIENCE, V321, P926, DOI 10.1126/science.1156401
Dutta K, 2007, SCI TOTAL ENVIRON, V384, P401, DOI 10.1016/j.scitotenv.2007.04.041
Dyksma S, 2016, ISME J, V10, P1939, DOI [10.1038/ISMEJ.2015.257, 10.1038/ismej.2015.257]
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Fernandes GL, 2020, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.03153
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Gilly WF, 2013, ANNU REV MAR SCI, V5, P393, DOI 10.1146/annurev-marine-120710-100849
Gilly WF, 2012, J EXP BIOL, V215, P3175, DOI 10.1242/jeb.072538
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
Goericke R, 2000, DEEP-SEA RES PT I, V47, P1183, DOI 10.1016/S0967-0637(99)00108-9
Gu BW, 2022, MICROBIOL SPECTR, V10, DOI 10.1128/spectrum.00892-21
Guerrero-Feijóo E, 2018, ENVIRON MICROBIOL, V20, P602, DOI 10.1111/1462-2920.13984
Guo RY, 2020, MAR FRESHWATER RES, V71, P1662, DOI 10.1071/MF20035
Han WQ, 2001, J GEOPHYS RES-OCEANS, V106, P859, DOI 10.1029/2000JC000316
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
Iburg S, 2021, MSPHERE, V6, DOI 10.1128/mSphere.00127-21
Jasna V, 2020, REG STUD MAR SCI, V39, DOI 10.1016/j.rsma.2020.101414
Ji MK, 2021, ISME J, V15, P2692, DOI 10.1038/s41396-021-00944-8
Jithin AK, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-68708-6
Karstensen J, 2008, PROG OCEANOGR, V77, P331, DOI 10.1016/j.pocean.2007.05.009
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Kuypers MMM, 2018, NAT REV MICROBIOL, V16, P263, DOI 10.1038/nrmicro.2018.9
Lam P, 2011, ANNU REV MAR SCI, V3, P317, DOI 10.1146/annurev-marine-120709-142814
Lavin P, 2010, ENV MICROBIOL REP, V2, P728, DOI 10.1111/j.1758-2229.2010.00167.x
Levin LA, 2018, ANNU REV MAR SCI, V10, P229, DOI 10.1146/annurev-marine-121916-063359
Li J, 2021, BIORESOURCE TECHNOL, V329, DOI 10.1016/j.biortech.2021.124897
Long AM, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.748961
Lüke C, 2016, PEERJ, V4, DOI 10.7717/peerj.1924
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Mahadevan A, 2016, ANNU REV MAR SCI, V8, P161, DOI 10.1146/annurev-marine-010814-015912
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martínez-Pérez C, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-021-27769-5
Mattes TE, 2021, ENVIRON MICROBIOL, V23, P2823, DOI 10.1111/1462-2920.15226
Mehrshad M, 2018, ISME J, V12, P655, DOI 10.1038/s41396-017-0009-5
Mena C, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-06120-y
Mena C, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01749
Moreno-Ulloa A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00824-20
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Mussmann M, 2017, ISME J, V11, P1276, DOI 10.1038/ismej.2016.185
Oschlies A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22584-4
Padilla CC, 2016, ISME J, V10, P2067, DOI 10.1038/ismej.2015.262
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Penn JL, 2019, P NATL ACAD SCI USA, V116, P7220, DOI 10.1073/pnas.1818014116
Rajpathak SN, 2018, J BIOSCIENCES, V43, P635, DOI 10.1007/s12038-018-9781-2
Reintjes G, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00184-19
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schmidtko S, 2017, NATURE, V542, P335, DOI 10.1038/nature21399
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Sheremet A, 2020, ENVIRON MICROBIOL, V22, P3143, DOI 10.1111/1462-2920.15054
Sun X, 2019, ISME J, V13, P2391, DOI 10.1038/s41396-019-0443-7
Suter EA, 2018, ENVIRON MICROBIOL, V20, P693, DOI 10.1111/1462-2920.13997
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
van Vliet DM, 2021, ENVIRON MICROBIOL, V23, P2834, DOI 10.1111/1462-2920.15265
Vaquer-Sunyer R, 2008, P NATL ACAD SCI USA, V105, P15452, DOI 10.1073/pnas.0803833105
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Wang B, 2020, ENVIRON INT, V139, DOI 10.1016/j.envint.2020.105684
Ward LM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01658
Wright JJ, 2014, ISME J, V8, P455, DOI 10.1038/ismej.2013.152
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Zakem EJ, 2020, ISME J, V14, P288, DOI 10.1038/s41396-019-0523-8
Zhang R, 2021, ECOTOXICOLOGY, V30, P1652, DOI 10.1007/s10646-020-02297-y
Zhou Zhichao, 2022, Mar Environ Res, V178, P105641, DOI 10.1016/j.marenvres.2022.105641
NR 92
TC 18
Z9 18
PD NOV 2
PY 2022
VL 13
AR 1041521
DI 10.3389/fmicb.2022.1041521
UT WOS:000886482000001
DA 2025-07-30
ER
PT J
AU Woebken, D
Fuchs, BM
Kuypers, MMM
Amann, R
AF Woebken, Dagmar
Fuchs, Bernhard M.
Kuypers, Marcel M. M.
Amann, Rudolf
TI Potential interactions of particle-associated anammox bacteria with
bacterial and archaeal partners in the Namibian upwelling system
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Recent studies have shown that the anaerobic oxidation of ammonium by anammox bacteria plays an important role in catalyzing the loss of nitrogen from marine oxygen minimum zones (OMZ). However, in situ oxygen concentrations of up to 25 mu M and ammonium concentrations close to or below the detection limit in the layer of anammox activity are hard to reconcile with the current knowledge of the physiology of anammox bacteria. We therefore investigated samples from the Namibian OMZ by comparative 16S rRNA gene analysis and fluorescence in situ hybridization. Our results showed that "Candidatus Scalindua" spp., the typical marine anammox bacteria, colonized microscopic particles that were likely the remains of either macroscopic marine snow particles or resuspended particles. These particles were slightly but significantly (P < 0.01) enriched in Gammaproteobacteria (11.8% +/- 5.0%) compared to the free-water phase (8.1% +/- 1.8%). No preference for the attachment to particles could be observed for members of the Alphaproteobacteria and Bacteroidetes, which were abundant (12 to 17%) in both habitats. The alphaproteobacterial SAR11 clade, the Euryarchaeota, and group I Crenarchaeota, were all significantly depleted in particles compared to their presence in the free-water phase (16.5% +/- 3.5% versus 2.6% +/- 1.7%, 2.7% +/- 1.9% versus < 1%, and 14.9% +/- 4.6% versus 2.2% +/- 1.8%, respectively, all P < 0.001). Sequence analysis of the crenarchaeotal 16S rRNA genes showed a 99% sequence identity to the nitrifying "Nitrosopumilus maritimus." Even though we could not observe conspicuous consortium-like structures of anammox bacteria with particle-enriched bacterioplankton groups, we hypothesize that members of Gammaproteobacteria, Alphaproteobacteria, and Bacteroidetes play a critical role in extending the anammox reaction to nutrient-depleted suboxic water layers in the Namibian upwelling system by creating anoxic, nutrient-enriched microniches.
C1 Max Planck Inst Marine Microbiol, D-28359 Bremen, Germany.
RP Woebken, D (corresponding author), Max Planck Inst Marine Microbiol, Celsiusstr 1, D-28359 Bremen, Germany.
CR AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
[Anonymous], THESIS TU MUNCHEN MU
Bidnenko E, 1998, APPL ENVIRON MICROB, V64, P3059
Boetius A, 2000, NATURE, V407, P623, DOI 10.1038/35036572
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
BROSIUS J, 1981, J MOL BIOL, V148, P107, DOI 10.1016/0022-2836(81)90508-8
Carr ME, 2001, DEEP-SEA RES PT II, V49, P59
CHAPMAN P, 1985, OCEANOGR MAR BIOL, V23, P183
Christensen AB, 2003, MICROBIOL-SGM, V149, P471, DOI 10.1099/mic.0.25575-0
Codispoti LA, 2001, SCI MAR, V65, P85, DOI 10.3989/scimar.2001.65s285
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Dalsgaard T, 2003, NATURE, V422, P606, DOI 10.1038/nature01526
Dalsgaard T, 2002, APPL ENVIRON MICROB, V68, P3802, DOI 10.1128/AEM.68.8.3802-3808.2002
DEOONG EF, 1993, OCEANOGR, V38, P924
DWORKIN M, 2005, PROKARYOTES EVOLVING
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Engström P, 2005, GEOCHIM COSMOCHIM AC, V69, P2057, DOI 10.1016/j.gca.2004.09.032
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Givskov M, 1997, FEMS MICROBIOL LETT, V148, P115, DOI 10.1016/S0378-1097(96)00530-7
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
Hallam SJ, 2006, PLOS BIOL, V4, P520, DOI 10.1371/journal.pbio.0040095
HAMERSLEY MR, LIMNOL OCEANOGR, V52, P923
Inthorn M, 2006, GEOLOGY, V34, P205, DOI 10.1130/G22153.1
Kiorboe T, 1998, LIMNOL OCEANOGR, V43, P104, DOI 10.4319/lo.1998.43.1.0104
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kuypers MMM, 2003, NATURE, V422, P608, DOI 10.1038/nature01472
Kuypers MMM, 2005, P NATL ACAD SCI USA, V102, P6478, DOI 10.1073/pnas.0502088102
Loy A, 2003, NUCLEIC ACIDS RES, V31, P514, DOI 10.1093/nar/gkg016
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Mobarry BK, 1996, APPL ENVIRON MICROB, V62, P2156, DOI 10.1128/AEM.62.6.2156-2162.1996
MULDER A, 1995, FEMS MICROBIOL ECOL, V16, P177, DOI 10.1111/j.1574-6941.1995.tb00281.x
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
MUYZER G, 1995, ARCH MICROBIOL, V164, P165, DOI 10.1007/BF02529967
Neef A, 1998, MICROBIOL-UK, V144, P3257, DOI 10.1099/00221287-144-12-3257
Neef A, 1997, THESIS TU MUNICH MUN
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler J, 2003, APPL ENVIRON MICROB, V69, P2631, DOI 10.1128/AEM.69.5.2631-2637.2003
Ploug H, 2001, LIMNOL OCEANOGR, V46, P1624, DOI 10.4319/lo.2001.46.7.1624
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
Redfield A.C., 1963, The Sea: Ideas and Observations on Progress in the Study of the Seas, V2, P26
Rysgaard S, 2004, LIMNOL OCEANOGR, V49, P1493, DOI 10.4319/lo.2004.49.5.1493
Schmid M, 2000, SYST APPL MICROBIOL, V23, P93, DOI 10.1016/S0723-2020(00)80050-8
Schmid M, 2003, SYST APPL MICROBIOL, V26, P529, DOI 10.1078/072320203770865837
Schonhuber W, 1997, APPL ENVIRON MICROB, V63, P3268
SHANKS AL, 1979, LIMNOL OCEANOGR, V24, P850, DOI 10.4319/lo.1979.24.5.0850
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
STAHL DA, 1988, APPL ENVIRON MICROB, V54, P1079, DOI 10.1128/AEM.54.5.1079-1084.1988
Strous M, 1999, NATURE, V400, P446, DOI 10.1038/22749
Strous M, 1997, APPL ENVIRON MICROB, V63, P2446, DOI 10.1128/AEM.63.6.2446-2448.1997
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Thamdrup B, 2002, APPL ENVIRON MICROB, V68, P1312, DOI 10.1128/AEM.68.3.1312-1318.2002
Thamdrup B, 2006, LIMNOL OCEANOGR, V51, P2145, DOI 10.4319/lo.2006.51.5.2145
Trimmer M, 2003, APPL ENVIRON MICROB, V69, P6447, DOI 10.1128/AEM.69.11.6447-6454.2003
VANDEGRAAF AA, 1995, APPL ENVIRON MICROB, V61, P1246, DOI 10.1128/AEM.61.4.1246-1251.1995
WALLNER G, 1993, CYTOMETRY, V14, P136, DOI 10.1002/cyto.990140205
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
ZABEL M, 2004, 57 U HAMB MET BER, P169
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
NR 69
TC 195
Z9 224
PD JUL
PY 2007
VL 73
IS 14
BP 4648
EP 4657
DI 10.1128/AEM.02774-06
UT WOS:000248197400030
DA 2025-07-30
ER
PT J
AU Hewson, I
Fuhrman, JA
AF Hewson, Ian
Fuhrman, Jed A.
TI Characterization of lysogens in bacterioplankton assemblages of the
Southern California Borderland
SO MICROBIAL ECOLOGY
DT Article
AB Viruses cause significant mortality of marine microorganisms; however, their role in shaping the composition of microbial assemblages has not been fully elucidated. Because viruses may form lysogenic relationships with their hosts, temperate viruses may influence bacterial assemblage structures through direct lysis of hosts when induced by environmental stimuli or by homoimmunity (i.e., immunity to closely related viruses). We investigated the components of bacterioplankton assemblages that bore prophage using the lysogenic induction agent mitomycin C. Seawater was collected at two locations (the San Pedro Ocean Time Series Station and in the Santa Barbara Channel) in the Southern California Borderland and amended with mitomycin C. After 24-h incubation, the community structure of bacterioplankton was compared with unamended controls using automated rRNA intergenic spacer analysis. The addition of mitomycin C to seawater had effects on the community structure of bacterioplankton, stimulating detectable overall diversity and richness of fingerprints and causing the assemblages within incubations to become different to control assemblages. Most negatively impacted operational taxonomic units (OTU) in mitomycin C-amended incubations individually comprised a large fraction of total amplified DNA in initial seawater (5.3-23.3% of amplified DNA fluorescence) fingerprints, and data suggest that these include organisms putatively classified as members of the gamma-Proteobacteria, SAR11 cluster, and Synechococcus groups. The stimulation of assemblage richness by induction of lysogens, and the reduction in the contribution to total DNA of common OTU (and concomitant increase in rare OTU), suggests that temperate phage have the potential to strongly influence the diversity of bacterioplankton assemblages. Because lysogenic OTU may also be resistant to closely related lytic (i.e., free-living) viruses, the impact of lytic virioplankton on assemblages may only be pronounced transiently or when conditions causing lysogenic induction arise.
C1 Univ So Calif, Dept Ocean Sci, Wrigley Inst Environm Studies, Los Angeles, CA 90089 USA.
RP Hewson, I (corresponding author), Univ So Calif, Dept Ocean Sci, Wrigley Inst Environm Studies, 1156 High St E & MS D446,3616 Trousdale Pkwy AHF, Los Angeles, CA 90089 USA.
EM hewson@ucsc.edu
CR Ackermann HW., 1987, GEN PROPERTIES BACTE, V1
BISEN PS, 1986, CURR MICROBIOL, V13, P1, DOI 10.1007/BF01568150
BRATBAK G, 1992, MAR ECOL PROG SER, V83, P273, DOI 10.3354/meps083273
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Cardinale M, 2004, APPL ENVIRON MICROB, V70, P6147, DOI 10.1128/AEM.70.10.6147-6156.2004
Cochran PK, 1998, MAR ECOL PROG SER, V164, P125, DOI 10.3354/meps164125
Crosby LD, 2003, BIOTECHNIQUES, V34, P790, DOI 10.2144/03344rr01
Danovaro R, 2003, MICROB ECOL, V45, P109, DOI 10.1007/s00248-002-1033-0
Fuhrman J.A., 1993, Oceanography, V6, P51, DOI [10.5670/oceanog.1993.14, DOI 10.5670/OCEANOG.1993.14]
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
FUHRMAN JA, 1992, PRIMARY PRODUCTIVITY
Fuhrman Jed. A., 1998, Aquatic Ecology, V32, P3, DOI 10.1023/A:1009974817127
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Hewson I, 2006, J MAR BIOL ASSOC UK, V86, P577, DOI 10.1017/S002531540601349X
Hewson I, 2006, MICROB ECOL, V51, P147, DOI 10.1007/s00248-005-0144-9
Hewson I, 2006, MAR ECOL PROG SER, V306, P79, DOI 10.3354/meps306079
Hewson I, 2004, AQUAT MICROB ECOL, V36, P1, DOI 10.3354/ame036001
Hewson I, 2004, APPL ENVIRON MICROB, V70, P3425, DOI 10.1128/AEM.70.6.3425-3433.2004
Hewson I, 2003, MICROB ECOL, V46, P337, DOI 10.1007/s00248-002-1041-0
Hewson I, 2001, AQUAT MICROB ECOL, V25, P207, DOI 10.3354/ame025207
Hewson I, 2001, AQUAT MICROB ECOL, V25, P1, DOI 10.3354/ame025001
Jiang S, 2003, MICROBIAL ECOL, V45, P399, DOI 10.1007/s00248-002-1059-3
Jiang SC, 1996, MAR ECOL PROG SER, V142, P27, DOI 10.3354/meps142027
Jiang SC, 1998, APPL ENVIRON MICROB, V64, P535
JIANG SC, 1994, MAR ECOL PROG SER, V104, P163, DOI 10.3354/meps104163
Legendre P., 1998, Numerical ecology, V1
LENSKI RE, 1988, ADV MICROB ECOL, V10, P1
LENSKI RE, 1988, EVOLUTION, V42, P433, DOI 10.1111/j.1558-5646.1988.tb04150.x
LENSKI RE, 1988, EVOLUTION, V42, P425, DOI 10.1111/j.1558-5646.1988.tb04149.x
Levin B.R., 1983, Coevolution
Lueders T, 2003, APPL ENVIRON MICROB, V69, P320, DOI 10.1128/AEM.69.1.320-326.2003
McDaniel L, 2002, NATURE, V415, P496, DOI 10.1038/415496a
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schwalbach MS, 2004, AQUAT MICROB ECOL, V34, P117, DOI 10.3354/ame034117
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
Sode K, 1997, J MAR BIOTECHNOL, V5, P178
Sokal R. R., 1995, BIOMETRY PRINCIPLES, V3
STOLT P, 1994, FEBS LETT, V344, P125, DOI 10.1016/0014-5793(94)00347-5
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
SUTTLE CA, 1990, NATURE, V347, P467, DOI 10.1038/347467a0
SUTTLE CA, 1993, MAR ECOL PROG SER, V92, P99, DOI 10.3354/meps092099
Suzuki M, 1998, APPL ENVIRON MICROB, V64, P4522
Suzuki MT, 1996, APPL ENVIRON MICROB, V62, P625, DOI 10.1128/AEM.62.2.625-630.1996
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weinbauer MG, 2003, LIMNOL OCEANOGR, V48, P1457, DOI 10.4319/lo.2003.48.4.1457
Weinbauer MG, 1996, APPL ENVIRON MICROB, V62, P4374, DOI 10.1128/AEM.62.12.4374-4380.1996
Wen K, 2004, APPL ENVIRON MICROB, V70, P3862, DOI 10.1128/AEM.70.7.3862-3867.2004
WHITTAKER RH, 1952, ECOL MONOGR, V22, P1, DOI 10.2307/1948527
WILCOX RM, 1994, MAR ECOL PROG SER, V114, P35, DOI 10.3354/meps114035
Williamson SJ, 2004, AQUAT MICROB ECOL, V36, P9, DOI 10.3354/ame036009
Williamson SJ, 2002, APPL ENVIRON MICROB, V68, P4307, DOI 10.1128/AEM.68.9.4307-4314.2002
Williamson SJ, 2001, APPL ENVIRON MICROB, V67, P1682, DOI 10.1128/AEM.67.4.1682-1688.2001
Wilson WH, 1997, AQUAT MICROB ECOL, V13, P95, DOI 10.3354/ame013095
Wilson WH, 2001, AQUAT MICROB ECOL, V25, P99, DOI 10.3354/ame025099
Winter C, 2004, APPL ENVIRON MICROB, V70, P804, DOI 10.1128/AEM.70.2.804-813.2004
NR 65
TC 21
Z9 26
PD MAY
PY 2007
VL 53
IS 4
BP 631
EP 638
DI 10.1007/s00248-006-9148-3
UT WOS:000246565500012
DA 2025-07-30
ER
PT J
AU Li, WKW
Andersen, RA
Gifford, DJ
Incze, LS
Martin, JL
Pilskaln, CH
Rooney-Varga, JN
Sieracki, ME
Wilson, WH
Wolff, NH
AF Li, William K. W.
Andersen, Robert A.
Gifford, Dian J.
Incze, Lewis S.
Martin, Jennifer L.
Pilskaln, Cynthia H.
Rooney-Varga, Juliette N.
Sieracki, Michael E.
Wilson, William H.
Wolff, Nicholas H.
TI Planktonic Microbes in the Gulf of Maine Area
SO PLOS ONE
DT Article
AB In the Gulf of Maine area (GoMA), as elsewhere in the ocean, the organisms of greatest numerical abundance are microbes. Viruses in GoMA are largely cyanophages and bacteriophages, including podoviruses which lack tails. There is also evidence of Mimivirus and Chlorovirus in the metagenome. Bacteria in GoMA comprise the dominant SAR11 phylotype cluster, and other abundant phylotypes such as SAR86-like cluster, SAR116-like cluster, Roseobacter, Rhodospirillaceae, Acidomicrobidae, Flavobacteriales, Cytophaga, and unclassified Alphaproteobacteria and Gammaproteobacteria clusters. Bacterial epibionts of the dinoflagellate Alexandrium fundyense include Rhodobacteraceae, Flavobacteriaceae, Cytophaga spp., Sulfitobacter spp., Sphingomonas spp., and unclassified Bacteroidetes. Phototrophic prokaryotes in GoMA include cyanobacteria that contain chlorophyll (mainly Synechococcus), aerobic anoxygenic phototrophs that contain bacteriochlorophyll, and bacteria that contain proteorhodopsin. Eukaryotic microalgae in GoMA include Bacillariophyceae, Dinophyceae, Prymnesiophyceae, Prasinophyceae, Trebouxiophyceae, Cryptophyceae, Dictyochophyceae, Chrysophyceae, Eustigmatophyceae, Pelagophyceae, Synurophyceae, and Xanthophyceae. There are no records of Bolidophyceae, Aurearenophyceae, Raphidophyceae, and Synchromophyceae in GoMA. In total, there are records for 665 names and 229 genera of microalgae. Heterotrophic eukaryotic protists in GoMA include Dinophyceae, Alveolata, Apicomplexa, amoeboid organisms, Labrynthulida, and heterotrophic marine stramenopiles (MAST). Ciliates include Strombidium, Lohmaniella, Tontonia, Strobilidium, Strombidinopsis and the mixotrophs Laboea strobila and Myrionecta rubrum (ex Mesodinium rubra). An inventory of selected microbial groups in each of 14 physiographic regions in GoMA is made by combining information on the depth-dependent variation of cell density and the depth-dependent variation of water volume. Across the entire GoMA, an estimate for the minimum abundance of cell-based microbes is 1.7x10(25) organisms. By one account, this number of microbes implies a richness of 10 5 to 10 6 taxa in the entire water volume of GoMA. Morphological diversity in microplankton is well-described but the true extent of taxonomic diversity, especially in the femtoplankton, picoplankton and nanoplankton - whether autotrophic, heterotrophic, or mixotrophic, is unknown.
C1 [Li, William K. W.] Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada.
[Andersen, Robert A.; Sieracki, Michael E.; Wilson, William H.] Bigelow Lab Ocean Sci, West Boothbay Harbor, ME USA.
[Gifford, Dian J.] Univ Rhode Isl, Grad Sch Oceanog, Narragansett, RI 02882 USA.
[Incze, Lewis S.; Wolff, Nicholas H.] Univ So Maine, Aquat Syst Grp, Portland, ME 04103 USA.
[Martin, Jennifer L.] Fisheries & Oceans Canada, Biol Stn, St Andrews, NB E0G 2X0, Canada.
[Pilskaln, Cynthia H.] Univ Massachusetts, Sch Marine Sci & Technol, N Dartmouth, MA USA.
[Rooney-Varga, Juliette N.] Univ Massachusetts, Dept Biol Sci, Lowell, MA USA.
RP Li, WKW (corresponding author), Fisheries & Oceans Canada, Bedford Inst Oceanog, POB 1006, Dartmouth, NS B2Y 4A2, Canada.
EM Bill.Li@dfo-mpo.gc.ca
CR Anderson D, 2005, DEEP-SEA RES PT II, V52, P2365, DOI 10.1016/j.dsr2.2005.08.001
ANDERSON DM, 1994, MAR BIOL, V120, P467, DOI 10.1007/BF00680222
Archambault P, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0012182
Balch WM, 2007, LIMNOL OCEANOGR, V52, P727, DOI 10.4319/lo.2007.52.2.0727
Balch WM, 2002, LIMNOL OCEANOGR, V47, P1554, DOI 10.4319/lo.2002.47.5.1554
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bielawski JP, 2004, P NATL ACAD SCI USA, V101, P14824, DOI 10.1073/pnas.0403999101
Curtis TP, 2006, PHILOS T R SOC B, V361, P2023, DOI 10.1098/rstb.2006.1921
Curtis TP, 2002, P NATL ACAD SCI USA, V99, P10494, DOI 10.1073/pnas.142680199
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Doolittle WF, 2006, GENOME BIOL, V7, DOI 10.1186/gb-2006-7-9-116
Ellis SL, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018997
Fautin D, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011914
Ferrier M, 2002, J APPL MICROBIOL, V92, P706, DOI 10.1046/j.1365-2672.2002.01576.x
Gaichas S, 2009, PROG OCEANOGR, V81, P47, DOI 10.1016/j.pocean.2009.04.005
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Hasegawa Y, 2007, ENVIRON MICROBIOL, V9, P3108, DOI 10.1111/j.1462-2920.2007.01421.x
HOBBIE JE, 1988, GEORGES BANK
Jasti S, 2005, APPL ENVIRON MICROB, V71, P3483, DOI 10.1128/AEM.71.7.3483-3494.2005
Johnson CL, 2011, PLOS ONE, V6, DOI [10.1371/journal.pone.0016491, 10.1371/journal.pone.0019210]
Kaczmarska I, 2007, HARMFUL ALGAE, V6, P861, DOI 10.1016/j.hal.2007.05.001
KAWAKAMI H, 1978, J PROTOZOOL, V25, P217, DOI 10.1111/j.1550-7408.1978.tb04399.x
Kirchman DL., 2000, MICROBIAL ECOLOGY OC, P261
Koblízek M, 2007, ENVIRON MICROBIOL, V9, P2401, DOI 10.1111/j.1462-2920.2007.01354.x
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
Kooistra WHCF, 2008, PROTIST, V159, P177, DOI 10.1016/j.protis.2007.09.004
Li WKW, 2006, P ROY SOC B-BIOL SCI, V273, P1953, DOI 10.1098/rspb.2006.3529
Li WKW, 2009, AQUAT MICROB ECOL, V57, P239, DOI 10.3354/ame01328
Li WKW, 1998, LIMNOL OCEANOGR, V43, P1746, DOI 10.4319/lo.1998.43.7.1746
Li WKW, 2001, CYTOMETRY, V44, P236, DOI 10.1002/1097-0320(20010701)44:3<236::AID-CYTO1116>3.0.CO;2-5
Loder J.W., 1998, SEA VOL 11 GLOBAL CO, V11, P105
Longhurst AlanR., 2007, EC GEOGR SEA 2 ED, VSecond
Martin JL, 2008, ICES J MAR SCI, V65, P759, DOI 10.1093/icesjms/fsn022
MARTIN JL, 1999, PHYTOPLANKTON MONITO
MARTIN JL, 1995, PHYTOPLANKTON MONITO
MARTIN JL, 2001, PHYTOPLANKTON MONITO
MARTIN JL, 2006, PLANKTON MONITORING
Mather L., 2010, A checklist of diatom species reported (and presumed native) from Canadian coastal waters
MEINTS RH, 1981, VIROLOGY, V113, P698, DOI 10.1016/0042-6822(81)90198-7
Mills Eric., 1989, Biological Oceanography: An Early History, 1870-1960
Monier A, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-7-r106
Monier A, 2008, VIROL J, V5, DOI 10.1186/1743-422X-5-12
MONTAGNES DJS, 1988, MAR BIOL, V99, P21, DOI 10.1007/BF00644973
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moreau H, 2010, J VIROL, V84, P12555, DOI 10.1128/JVI.01123-10
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Pilskaln CH, 1998, CONSERV BIOL, V12, P1223, DOI 10.1046/j.1523-1739.1998.0120061223.x
Polz MF, 1998, APPL ENVIRON MICROB, V64, P3724
POULTON N, 2009, GULF MAIN S ADV EC R
Raoult D, 2004, SCIENCE, V306, P1344, DOI 10.1126/science.1101485
REVELANTE N, 1987, ESTUAR COAST SHELF S, V25, P581, DOI 10.1016/0272-7714(87)90116-8
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
SANDERS RW, 1987, J PLANKTON RES, V9, P65, DOI 10.1093/plankt/9.1.65
Sanders RW, 1995, AQUAT MICROB ECOL, V9, P237, DOI 10.3354/ame009237
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Sieracki ME, 2006, LIMNOL OCEANOGR, V51, P38, DOI 10.4319/lo.2006.51.1.0038
SINCLAIR M, 1992, P GULF MAIN SCI WORK, P91
Smith VH, 2005, P NATL ACAD SCI USA, V102, P4393, DOI 10.1073/pnas.0500094102
Snelgrove PV., 2010, Discoveries of the census of marine life
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
STOECKER DK, 1989, MAR ECOL PROG SER, V50, P241, DOI 10.3354/meps050241
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Townsend DavidW., 2006, SEA VOLUME 14A, P119
TOWNSEND DW, 1985, MAR ECOL PROG SER, V24, P177, DOI 10.3354/meps024177
TOWNSEND DW, 1994, CONT SHELF RES, V14, P979, DOI 10.1016/0278-4343(94)90060-4
VANETTEN JL, 1982, P NATL ACAD SCI-BIOL, V79, P3867
Vaughn JM, 2010, AQUAT MICROB ECOL, V58, P109, DOI 10.3354/ame01375
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Weynberg KD, 2011, J VIROL, V85, P4520, DOI 10.1128/JVI.02131-10
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
WILDISH DJ, 1990, ENV MONITORING BAY F
Williamson SJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001456
Wilson WH, 2009, CURR TOP MICROBIOL, V328, P1
Wilson W.H., 2005, Virus Taxonomy, P163
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Zubkov MV, 2009, J PLANKTON RES, V31, P933, DOI 10.1093/plankt/fbp043
ZWANENBURG KCT, 2006, IMPLICATIONS ECOSYST
NR 83
TC 17
Z9 21
PD JUN 15
PY 2011
VL 6
IS 6
AR e20981
DI 10.1371/journal.pone.0020981
UT WOS:000291730000036
DA 2025-07-30
ER
PT J
AU Preston, CM
Harris, A
Ryan, JP
Roman, B
Marin, R
Jensen, S
Everlove, C
Birch, J
Dzenitis, JM
Pargett, D
Adachi, M
Turk, K
Zehr, JP
Scholin, CA
AF Preston, Christina M.
Harris, Adeline
Ryan, John P.
Roman, Brent
Marin, Roman, III
Jensen, Scott
Everlove, Cheri
Birch, James
Dzenitis, John M.
Pargett, Douglas
Adachi, Masao
Turk, Kendra
Zehr, Jonathon P.
Scholin, Christopher A.
TI Underwater Application of Quantitative PCR on an Ocean Mooring
SO PLOS ONE
DT Article
AB The Environmental Sample Processor (ESP) is a device that allows for the underwater, autonomous application of DNA and protein probe array technologies as a means to remotely identify and quantify, in situ, marine microorganisms and substances they produce. Here, we added functionality to the ESP through the development and incorporation of a module capable of solid-phase nucleic acid extraction and quantitative PCR (qPCR). Samples collected by the instrument were homogenized in a chaotropic buffer compatible with direct detection of ribosomal RNA (rRNA) and nucleic acid purification. From a single sample, both an rRNA community profile and select gene abundances were ascertained. To illustrate this functionality, we focused on bacterioplankton commonly found along the central coast of California and that are known to vary in accordance with different oceanic conditions. DNA probe arrays targeting rRNA revealed the presence of 16S rRNA indicative of marine crenarchaea, SAR11 and marine cyanobacteria; in parallel, qPCR was used to detect 16S rRNA genes from the former two groups and the large subunit RuBisCo gene (rbcL) from Synecchococcus. The PCR-enabled ESP was deployed on a coastal mooring in Monterey Bay for 28 days during the spring-summer upwelling season. The distributions of the targeted bacterioplankon groups were as expected, with the exception of an increase in abundance of marine crenarchaea in anomalous nitrate-rich, low-salinity waters. The unexpected co-occurrence demonstrated the utility of the ESP in detecting novel events relative to previously described distributions of particular bacterioplankton groups. The ESP can easily be configured to detect and enumerate genes and gene products from a wide range of organisms. This study demonstrated for the first time that gene abundances could be assessed autonomously, underwater in near real-time and referenced against prevailing chemical, physical and bulk biological conditions.
C1 [Preston, Christina M.; Harris, Adeline; Ryan, John P.; Roman, Brent; Marin, Roman, III; Jensen, Scott; Everlove, Cheri; Birch, James; Pargett, Douglas; Scholin, Christopher A.] Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
[Dzenitis, John M.] Lawrence Livermore Natl Lab, Livermore, CA USA.
[Adachi, Masao] Kochi Univ, Lab Aquat Environm Sci, Kochi 780, Japan.
[Turk, Kendra; Zehr, Jonathon P.] Univ Calif Santa Cruz, Dept Ocean Sci & Earth & Marine Sci, Santa Cruz, CA 95064 USA.
RP Preston, CM (corresponding author), Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
EM preston@mbari.org
CR Ahlfors CE, 2006, CLIN CHIM ACTA, V365, P78, DOI 10.1016/j.cca.2005.07.030
[Anonymous], ENV MICROBI IN PRESS
Belgrader P, 2003, ANAL CHEM, V75, P3446, DOI 10.1021/ac034062u
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Bowler C, 2009, NATURE, V459, P180, DOI 10.1038/nature08056
Bruckner-Lea CJ, 2002, ANAL CHIM ACTA, V469, P129, DOI 10.1016/S0003-2670(01)01438-6
Casper ET, 2007, HARMFUL ALGAE, V6, P112, DOI 10.1016/j.hal.2006.11.001
Chandler DP, 2004, APPL ENVIRON MICROB, V70, P2621, DOI 10.1128/AEM.70.5.2621-2631.2004
Church MJ, 2005, APPL ENVIRON MICROB, V71, P5362, DOI 10.1128/AEM.71.9.5362-5370.2005
DeLong EF, 2009, NATURE, V459, P200, DOI 10.1038/nature08059
Dong LF, 2009, APPL ENVIRON MICROB, V75, P3171, DOI 10.1128/AEM.02511-08
Doucette GJ, 2009, HARMFUL ALGAE, V8, P880, DOI 10.1016/j.hal.2009.04.006
Fasham MJR, 2001, AMBIO, P4
Fukuba T, 2004, CHEM ENG J, V101, P151, DOI 10.1016/j.cej.2003.11.016
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Goffredi SK, 2006, MAR BIOTECHNOL, V8, P149, DOI 10.1007/s10126-005-5016-2
Greenfield DI, 2006, LIMNOL OCEANOGR-METH, V4, P426, DOI 10.4319/lom.2006.4.426
Greenfield DI, 2008, LIMNOL OCEANOGR-METH, V6, P667, DOI 10.4319/lom.2008.6.667
Haywood AJ, 2007, J PHYCOL, V43, P1271, DOI 10.1111/j.1529-8817.2007.00407.x
Heid CA, 1996, GENOME RES, V6, P986, DOI 10.1101/gr.6.10.986
Herfort L, 2007, FEMS MICROBIOL ECOL, V62, P242, DOI 10.1111/j.1574-6941.2007.00397.x
Hindson BJ, 2008, ANALYST, V133, P248, DOI 10.1039/b713332d
Hindson BJ, 2004, ANAL CHEM, V76, P3492, DOI 10.1021/ac035365r
Hindson BJ, 2005, ANAL CHEM, V77, P284, DOI 10.1021/ac0489014
Johnson KS, 2002, DEEP-SEA RES PT I, V49, P1291, DOI 10.1016/S0967-0637(02)00020-1
Jones WJ, 2008, MOL ECOL RESOUR, V8, P540, DOI 10.1111/j.1471-8286.2007.02021.x
Karl DM, 2002, TRENDS MICROBIOL, V10, P410, DOI 10.1016/S0966-842X(02)02430-7
Karl DM., 2001, OCEANOGRAPHY, V14, P6
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
LaGier MJ, 2007, MAR POLLUT BULL, V54, P757, DOI 10.1016/j.marpolbul.2006.12.017
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Ottesen EA, 2011, ISME J
Paerl RW, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00059
Paul J, 2007, OCEANOGRAPHY, V20, P70, DOI 10.5670/oceanog.2007.50
Preston CM, 2009, ENVIRON MICROBIOL, V11, P1168, DOI 10.1111/j.1462-2920.2009.01848.x
Regan JF, 2008, ANAL CHEM, V80, P7422, DOI 10.1021/ac801125x
Roman B., 2005, em Proceedings of OCEANS 2005 MTS/IEEE, V9, P1
Roman Brent., 2007, JALA J ASS FO R LAB, V12, P56, DOI DOI 10.1016/J.JALA.2006.07.013
Rowan AK, 2005, APPL ENVIRON MICROB, V71, P8481, DOI 10.1128/AEM.71.12.8481-8490.2005
Ruzicka J, 1990, ANAL CHIM ACTA, V237, P39
Ryan J, 2011, LIMNOL OCEANOGR, V56, P1255, DOI 10.4319/lo.2011.56.4.1255
Ryan JP, 2010, LIMNOL OCEANOGR-METH, V8, P394, DOI 10.4319/lom.2010.8.394
Ryan JP, 2010, CONT SHELF RES, V30, P7, DOI 10.1016/j.csr.2009.10.017
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Scholin C., 2001, US Pat, Patent No. 6187530
Scholin CA, 2010, OCEAN SCI, V6, P51, DOI 10.5194/os-6-51-2010
Scholin C.A., 2008, PROSPECTS DEV AUTOMA, P413
Scholin CA, 1998, DEV APPL MOL PROBES, P367
Scholin C, 2009, OCEANOGRAPHY, V22, P158, DOI 10.5670/oceanog.2009.46
Short SM, 2005, METHOD ENZYMOL, V397, P380, DOI 10.1016/S0076-6879(05)97023-7
Smith CJ, 2009, FEMS MICROBIOL ECOL, V67, P6, DOI 10.1111/j.1574-6941.2008.00629.x
Straub TM, 2005, J MICROBIOL METH, V62, P303, DOI 10.1016/j.mimet.2005.04.012
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 2001, AQUAT MICROB ECOL, V24, P117, DOI 10.3354/ame024117
Tyrrell JV, 2001, PHYCOLOGIA, V40, P457, DOI 10.2216/i0031-8884-40-5-457.1
Whitman RL, 2010, ENVIRON SCI TECHNOL, V44, P5049, DOI 10.1021/es9028974
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
Zehr JP, 2009, OCEAN SCI, V5, P101, DOI 10.5194/os-5-101-2009
NR 58
TC 75
Z9 85
PD AUG 1
PY 2011
VL 6
IS 8
AR e22522
DI 10.1371/journal.pone.0022522
UT WOS:000293511200011
DA 2025-07-30
ER
PT J
AU Wang, HL
Chen, F
Zhang, CL
Wang, M
Kan, JJ
AF Wang, Hualong
Chen, Feng
Zhang, Chuanlun
Wang, Min
Kan, Jinjun
TI Estuarine gradients dictate spatiotemporal variations of microbiome
networks in the Chesapeake Bay
SO ENVIRONMENTAL MICROBIOME
DT Article
AB Background Annually reoccurring microbial populations with strong spatial and temporal variations have been identified in estuarine environments, especially in those with long residence time such as the Chesapeake Bay (CB). However, it is unclear how microbial taxa cooccurr and how the inter-taxa networks respond to the strong environmental gradients in the estuaries. Results Here, we constructed co-occurrence networks on prokaryotic microbial communities in the CB, which included seasonal samples from seven spatial stations along the salinity gradients for three consecutive years. Our results showed that spatiotemporal variations of planktonic microbiomes promoted differentiations of the characteristics and stability of prokaryotic microbial networks in the CB estuary. Prokaryotic microbial networks exhibited a clear seasonal pattern where microbes were more closely connected during warm season compared to the associations during cold season. In addition, microbial networks were more stable in the lower Bay (ocean side) than those in the upper Bay (freshwater side). Multivariate regression tree (MRT) analysis and piecewise structural equation modeling (SEM) indicated that temperature, salinity and total suspended substances along with nutrient availability, particulate carbon and Chl a, affected the distribution and co-occurrence of microbial groups, such as Actinobacteria, Bacteroidetes, Cyanobacteria, Planctomycetes, Proteobacteria, and Verrucomicrobia. Interestingly, compared to the abundant groups (such as SAR11, Saprospiraceae and Actinomarinaceae), the rare taxa including OM60 (NOR5) clade (Gammaproteobacteria), Micrococcales (Actinobacteria), and NS11-12 marine group (Bacteroidetes) contributed greatly to the stability of microbial co-occurrence in the Bay. Modularity and cluster structures of microbial networks varied spatiotemporally, which provided valuable insights into the 'small world' (a group of more interconnected species), network stability, and habitat partitioning/preferences. Conclusion Our results shed light on how estuarine gradients alter the spatiotemporal variations of prokaryotic microbial networks in the estuarine ecosystem, as well as their adaptability to environmental disturbances and co-occurrence network complexity and stability.
C1 [Wang, Hualong; Wang, Min] Ocean Univ China, Coll Marine Life Sci, Qingdao, Peoples R China.
[Wang, Hualong; Wang, Min] Ocean Univ China, Frontiers Sci Ctr Deep Ocean Multi Spheres & Eart, Qingdao, Peoples R China.
[Wang, Hualong; Chen, Feng] Univ Maryland, Ctr Environm Sci, Inst Marine & Environm Technol, Baltimore, MD 21201 USA.
[Zhang, Chuanlun] Southern Univ Sci & Technol, Dept Ocean Sci & Engn, Shenzhen, Peoples R China.
[Zhang, Chuanlun] Southern Univ Sci & Technol, Shenzhen Key Lab Marine Archaea Geoom, Shenzhen, Peoples R China.
[Zhang, Chuanlun] Southern Marine Sci & Engn Guangdong Lab, Guangzhou, Peoples R China.
[Kan, Jinjun] Stroud Water Res Ctr, Div Microbiol, Avondale, PA 19311 USA.
[Kan, Jinjun] Southern Univ Sci & Technol, Acad Adv Interdisciplinary Studies, Shenzhen, Peoples R China.
RP Kan, JJ (corresponding author), Stroud Water Res Ctr, Div Microbiol, Avondale, PA 19311 USA.; Kan, JJ (corresponding author), Southern Univ Sci & Technol, Acad Adv Interdisciplinary Studies, Shenzhen, Peoples R China.
EM jkan@stroudcenter.org
CR Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Barberán A, 2012, ISME J, V6, P343, DOI 10.1038/ismej.2011.119
Bauer JE, 2013, NATURE, V504, P61, DOI 10.1038/nature12857
Benda L, 2004, BIOSCIENCE, V54, P413, DOI 10.1641/0006-3568(2004)054[0413:TNDHHC]2.0.CO;2
Berg C, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00055
Berry D, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00219
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Boyd PW, 2016, GLOBAL CHANGE BIOL, V22, P2633, DOI 10.1111/gcb.13287
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Cai WJ, 2011, ANNU REV MAR SCI, V3, P123, DOI 10.1146/annurev-marine-120709-142723
Cardinale BJ, 2002, NATURE, V415, P426, DOI 10.1038/415426a
Cardona C, 2016, CURR OPIN MICROBIOL, V31, P124, DOI 10.1016/j.mib.2016.03.008
Cerco CF, 2013, J AM WATER RESOUR AS, V49, P1119, DOI 10.1111/jawr.12107
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Coyte KZ, 2015, SCIENCE, V350, P663, DOI 10.1126/science.aad2602
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
Crump BC, 2009, P NATL ACAD SCI USA, V106, P21208, DOI 10.1073/pnas.0906149106
Czárán TL, 2002, P NATL ACAD SCI USA, V99, P786, DOI 10.1073/pnas.012399899
Dai TJ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02731
de Jonge VN, 2019, MAR ECOL PROG SER, V613, P15, DOI 10.3354/meps12825
de Vries FT, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05516-7
De'Ath G, 2002, ECOLOGY, V83, P1105, DOI 10.2307/3071917
Debroas D, 2015, MOL ECOL, V24, P1236, DOI 10.1111/mec.13116
Domínguez-García V, 2019, P NATL ACAD SCI USA, V116, P25714, DOI 10.1073/pnas.1904470116
Donohue I, 2016, ECOL LETT, V19, P1172, DOI 10.1111/ele.12648
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Falkowski P., 2013, MICROBIAL GENOMES DR, DOI [10.1007/978-1-4614-6418-1_800-3, DOI 10.1007/978-1-4614-6418-1_800-3]
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
FREEMAN LC, 1980, QUAL QUANT, V14, P585
FREEMAN LC, 1977, SOCIOMETRY, V40, P35, DOI 10.2307/3033543
Freilich S, 2010, NUCLEIC ACIDS RES, V38, P3857, DOI 10.1093/nar/gkq118
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Gibson TE, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004688
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Grace J.B., 2006, Structural Equation Modeling and Natural Systems
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Harding LW, 2016, ESTUAR COAST, V39, P664, DOI 10.1007/s12237-015-0023-7
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
HOCH MP, 1993, MAR ECOL PROG SER, V98, P283, DOI 10.3354/meps098283
Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
Jousset A, 2017, ISME J, V11, P853, DOI 10.1038/ismej.2016.174
Julia G, FEMS MICROBIOL ECOL, P45
Kan JJ, 2006, LIMNOL OCEANOGR, V51, P2157, DOI 10.4319/lo.2006.51.5.2157
Kan JJ, 2006, AQUAT MICROB ECOL, V42, P7, DOI 10.3354/ame042007
Kara EL, 2013, ISME J, V7, P680, DOI 10.1038/ismej.2012.118
Kellogg CTE, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02628
King AJ, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00347
Kirchman DL, 2016, AQUAT MICROB ECOL, V78, P93, DOI 10.3354/ame01805
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Kuiper JJ, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8727
Ladau J, 2019, TRENDS MICROBIOL, V27, P662, DOI 10.1016/j.tim.2019.03.003
Lefcheck JS, 2016, METHODS ECOL EVOL, V7, P573, DOI 10.1111/2041-210X.12512
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Liu T, 2018, MICROBIOME, V6, DOI 10.1186/s40168-017-0388-x
Loreau M, 1998, P NATL ACAD SCI USA, V95, P5632, DOI 10.1073/pnas.95.10.5632
Lynch MDJ, 2015, NAT REV MICROBIOL, V13, P217, DOI 10.1038/nrmicro3400
Madsen EL, 2011, CURR OPIN BIOTECH, V22, P456, DOI 10.1016/j.copbio.2011.01.008
Maresca JA, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.00137-18
Mikhailov IS, 2019, MICROB ECOL, V77, P96, DOI 10.1007/s00248-018-1212-2
Montoya JM, 2006, NATURE, V442, P259, DOI 10.1038/nature04927
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Mori JF, 2017, ISME J, V11, P1075, DOI 10.1038/ismej.2016.186
Morone F, 2015, NATURE, V524, P65, DOI 10.1038/nature14604
Newman MEJ, 2006, P NATL ACAD SCI USA, V103, P8577, DOI 10.1073/pnas.0601602103
Newman MEJ, 2004, PHYS REV E, V69, DOI 10.1103/PhysRevE.69.026113
Nixon SW, 1996, BIOGEOCHEMISTRY, V35, P141, DOI 10.1007/BF02179826
PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
Pinhassi J, 2000, AQUAT MICROB ECOL, V21, P245, DOI 10.3354/ame021245
Pocock MJO, 2012, SCIENCE, V335, P973, DOI 10.1126/science.1214915
Rooney N, 2006, NATURE, V442, P265, DOI 10.1038/nature04887
Röttjers L, 2018, FEMS MICROBIOL REV, V42, P761, DOI 10.1093/femsre/fuy030
Russell JA, 2014, MOL ECOL, V23, P1225, DOI 10.1111/mec.12676
Saavedra S, 2011, NATURE, V478, P233, DOI 10.1038/nature10433
Saleem M, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2287
Schermelleh-Engel Karin Moosbrugger, 2003, METHODS PSYCHOL RES, V8, P23, DOI [DOI 10.23668/PSYCHARCHIVES.12784, 10.23668/psycharchives.12784]
Shade A, 2015, TRENDS MICROBIOL, V23, P335, DOI 10.1016/j.tim.2015.01.007
Shade A, 2014, MBIO, V5, DOI 10.1128/mBio.01371-14
SHIAH FK, 1994, LIMNOL OCEANOGR, V39, P1243, DOI 10.4319/lo.1994.39.6.1243
Shipley B, 2013, ECOLOGY, V94, P560, DOI 10.1890/12-0976.1
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Stepanauskas R, 2003, AQUAT MICROB ECOL, V31, P85, DOI 10.3354/ame031085
Stouffer DB, 2011, P NATL ACAD SCI USA, V108, P3648, DOI 10.1073/pnas.1014353108
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tilman D, 1997, P NATL ACAD SCI USA, V94, P1857, DOI 10.1073/pnas.94.5.1857
Wang B, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05469-x
Wang HL, 2020, LIMNOL OCEANOGR, V65, P3032, DOI 10.1002/lno.11572
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Watson SCL, 2020, ESTUAR COAST SHELF S, V244, DOI 10.1016/j.ecss.2018.12.016
Watts DJ, 1998, NATURE, V393, P440, DOI 10.1038/30918
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
WHITTAKER RH, 1973, HUM ECOL, V1, P357, DOI 10.1007/BF01536732
Widder S, 2014, P NATL ACAD SCI USA, V111, P12799, DOI 10.1073/pnas.1411723111
Williams MR, 2010, ESTUAR COAST, V33, P1279, DOI 10.1007/s12237-010-9333-y
Williams RJ, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00358
Xiao YD, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-02090-2
Xue YY, 2018, ISME J, V12, P2263, DOI 10.1038/s41396-018-0159-0
Yadav BK, 2012, WATER AIR SOIL POLL, V223, P3579, DOI 10.1007/s11270-011-1052-x
Yao ZY, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.02602-18
Zehr JP, 2011, ANNU REV MAR SCI, V3, P197, DOI 10.1146/annurev-marine-120709-142819
Zengler K, 2018, NAT REV MICROBIOL, V16, P383, DOI 10.1038/s41579-018-0004-5
Zhou JZ, 2010, MBIO, V1, DOI 10.1128/mBio.00169-10
Zhu JM, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02503
NR 113
TC 39
Z9 39
PD NOV 27
PY 2021
VL 16
IS 1
AR 22
DI 10.1186/s40793-021-00392-z
UT WOS:000722993600001
DA 2025-07-30
ER
PT J
AU Wang, YB
Hu, XK
Sun, YY
Wang, CX
AF Wang, Yibo
Hu, Xiaoke
Sun, Yanyu
Wang, Caixia
TI Influence of the cold bottom water on taxonomic and functional
composition and complexity of microbial communities in the southern
Yellow Sea during the summer
SO SCIENCE OF THE TOTAL ENVIRONMENT
DT Article
AB The formation and presence of the cold bottomwater (Yellow Sea Cold WaterMass, YSCWM) is a striking hydrological phenomenon in the southern Yellow Sea during the summer and has important effects on themarine ecosystem. To better understand its influence on microbial community structure and function, we compared the bacterial, archaeal and microeukaryotic communities in the cold water mass area (CWMA) and the southern area (SA) during the summer using amplicon and metagenomic sequencings. The habitat environment in the deep waters of the CWMA was characterized by higher salinity/DO/PO4-P, greater depth/distance to the coast, and lower levels of temperature/chlorophyll a/DIN/SiO3-Si/N:P ratio compared to that of the SA. Pure depth or distance to the coast explained a small portion of the microbial community variance, while environment explained a significant fraction of the variance when partialling the effects of depth and distance to the coast. Oligotrophic taxa (e.g. SAR11 clade Ia, Nitrosopumilus, Chloropicophyceae) dominated the deepwater communities in the CWMA, while the common coastal taxa (e.g. Roseobacter strain HIMB11, Bacillariophyta, Noctilucophyceae) were more dominant in the deep waters of the SA, suggesting the great impact of the oligotrophic condition in the YSCWM on microbial communities. The microbial co-occurrence networks in the CWMA were less complex but contained a higher proportion of mutual exclusion relationship among prokaryotes; the prokaryotic a-diversity in the CWMA was significantly lower than in the SA while the microeukaryotic a-diversity was significantly higher in the CWMA, implying that prokaryotes and microeukaryotes respond to the cold water mass differently and the competition among prokaryotes was intensified under the impact of the YSCWM. Genes that relate to replication and repair accounted for a significantly lower proportion in the CWMA, which was likely an adaptation to the low carbon environment. (C) 2020 Published by Elsevier B.V.
C1 [Wang, Yibo; Hu, Xiaoke; Sun, Yanyu; Wang, Caixia] Chinese Acad Sci, Key Lab Coastal Biol & Bioresource Utilizat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.
[Wang, Yibo; Hu, Xiaoke; Sun, Yanyu; Wang, Caixia] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China.
[Wang, Yibo; Sun, Yanyu] Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China.
[Wang, Yibo; Hu, Xiaoke; Sun, Yanyu; Wang, Caixia] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
RP Hu, XK (corresponding author), Chinese Acad Sci, Key Lab Coastal Biol & Bioresource Utilizat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China.
EM xkhu@yic.ac.cn
CR [Anonymous], 2016, F1000RES, DOI DOI 10.1038/CTI.2016.69
Assenov Y, 2008, BIOINFORMATICS, V24, P282, DOI 10.1093/bioinformatics/btm554
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Azumaya T., 1995, J. Oceanogr., V51
Blanchet FG, 2008, ECOLOGY, V89, P2623, DOI 10.1890/07-0986.1
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
BROWN MB, 1975, BIOMETRICS, V31, P987, DOI 10.2307/2529826
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cheung MK, 2010, ISME J, V4, P1053, DOI 10.1038/ismej.2010.26
China State Oceanic Administration, 1991, GB12763491 CHIN STAT
Deng Y, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-113
Diao X., 2015, DOCTORAL THESIS
dos Santos AL, 2017, ISME J, V11, P512, DOI 10.1038/ismej.2016.120
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Edgar RC, 2013, NAT METHODS, V10, P996, DOI [10.1038/NMETH.2604, 10.1038/nmeth.2604]
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fan H, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26373-w
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Fu MingZhu Fu MingZhu, 2016, Acta Ecologica Sinica - International Journal, V36, P39
[高爽 GAO Shuang], 2009, [中国海洋大学学报. 自然科学版, Journal of Ocean University of China], V39, P604
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gloor GB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02224
Guan B., 1963, OCEANOL LIMNOL SIN, V5, P255
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Guo XY, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2003JC002203
Han L, 2016, PAC J, V24, P79, DOI [10.14015/j.cnki.1004-8049.2016.5.009, DOI 10.14015/J.CNKI.1004-8049.2016.5.009]
Heip Carlo H. R., 1998, Oceanis, V24, P61
Herfort L, 2009, AQUAT MICROB ECOL, V55, P189, DOI 10.3354/ame01294
Holt JT, 2003, J PHYS OCEANOGR, V33, P2288, DOI 10.1175/1520-0485(2003)033<2288:TROAID>2.0.CO;2
Horsburgh KJ, 2003, J PHYS OCEANOGR, V33, P343, DOI 10.1175/1520-0485(2003)033<0343:ATDMOD>2.0.CO;2
Hugoni M, 2015, ENV MICROBIOL REP, V7, P321, DOI 10.1111/1758-2229.12251
Hur H.B., 1999, Journal of Oceanography, V55, P171, DOI [10.1023/A:1007885828278, DOI 10.1023/A:1007885828278]
Jing XY, 2019, MAR POLLUT BULL, V139, P366, DOI 10.1016/j.marpolbul.2018.12.052
Kang Jung-Hoon, 2008, Ocean Science Journal, V43, P67
Lee SH, 1999, J GEOPHYS RES-OCEANS, V104, P15679, DOI 10.1029/1999JC900108
Li HM, 2015, ESTUAR COAST SHELF S, V163, P44, DOI 10.1016/j.ecss.2014.12.013
[李洪波 LI HongBo], 2006, [生态学报, Acta Ecologica Sinica], V26, P1012, DOI 10.1016/S1872-2032(06)60020-6
Li JC, 2016, J GEOPHYS RES-OCEANS, V121, P6779, DOI 10.1002/2016JC012186
Liu CY, 2018, AQUACULTURE, V495, P815, DOI 10.1016/j.aquaculture.2018.06.045
Lu J, 2019, J ASIAN EARTH SCI, V176, P353, DOI 10.1016/j.jseaes.2019.03.007
Luyten PJ, 2003, J PHYS OCEANOGR, V33, P37, DOI 10.1175/1520-0485(2003)033<0037:ANSOTL>2.0.CO;2
Lv XG, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC003250
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
Massana R, 2013, ENVIRON MICROBIOL, V15, P1254, DOI 10.1111/1462-2920.12043
McKie-Krisberg ZM, 2014, ISME J, V8, P1953, DOI 10.1038/ismej.2014.16
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Oh KH, 2013, ACTA OCEANOL SIN, V32, P1, DOI 10.1007/s13131-013-0346-9
Oksanen, 2022, VEGAN COMMUNITY ECOL
Palarea-Albaladejo J, 2015, CHEMOMETR INTELL LAB, V143, P85, DOI 10.1016/j.chemolab.2015.02.019
Park S, 2011, J MARINE SYST, V87, P177, DOI 10.1016/j.jmarsys.2011.03.012
Parsons R.T., 1984, A manual of chemical and biological methods for seawater analysis, V1st, P173
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pujari L, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01501
Qin W., 2016, CANDIDATUS NITROSOPU
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2018, R LANG ENV STAT COMP
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Siddhartha Mandal Siddhartha Mandal, 2015, Microbial Ecology in Health and Disease, V26, P27663
Sporns O, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0001049
Stubner S, 2002, J MICROBIOL METH, V50, P155, DOI 10.1016/S0167-7012(02)00024-6
Su J.L., 2005, HYDROGRAPHY CHINA SE, P192
Su JL, 1995, Oceanologia Limnologia Sin, V26, P1
Tam L, 2001, BIODIVERS CONSERV, V10, P1933, DOI 10.1023/A:1013143503902
Tan SC, 2012, CONT SHELF RES, V48, P138, DOI 10.1016/j.csr.2012.07.015
Tang YZ, 2019, MOL ECOL, V28, P4065, DOI 10.1111/mec.15196
Thangaraj S, 2019, INT J MOL SCI, V20, DOI 10.3390/ijms20102540
Turmel M, 2019, GENOME BIOL EVOL, V11, P1275, DOI 10.1093/gbe/evz074
Uritskiy G, 2019, ISME J, V13, P2737, DOI 10.1038/s41396-019-0468-y
Wang BZ, 2015, ISME J, V9, P1062, DOI 10.1038/ismej.2014.194
[王红 WANG Hong], 2011, [中国海洋大学学报. 自然科学版, Journal of Ocean University of China], V41, P61
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Wang R, 2003, J PLANKTON RES, V25, P169, DOI 10.1093/plankt/25.2.169
Warrach K, 1998, J MARINE SYST, V14, P151, DOI 10.1016/S0924-7963(98)00007-4
Wei QS, 2016, J MARINE SYST, V156, P30, DOI 10.1016/j.jmarsys.2015.12.001
Weng X., 1988, OCEANOLOGIA LIMNOLOG, V19, P70
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Wurch LL, 2011, ENVIRON MICROBIOL, V13, P468, DOI 10.1111/j.1462-2920.2010.02351.x
Xia CS, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC003218
Yin DQ, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/861928
[于非 YU Fei], 2006, [海洋学报, Acta Oceanologica Sinica], V28, P26
Yu XJ, 2018, CONT SHELF RES, V165, P26, DOI 10.1016/j.csr.2018.06.006
Yu XJ, 2016, J PHYS OCEANOGR, V46, P159, DOI 10.1175/JPO-D-15-0071.1
Zhai WD, 2018, SCI CHINA EARTH SCI, V61, P647, DOI 10.1007/s11430-017-9151-4
Zhang JL, 2012, DEEP-SEA RES PT II, V65-70, P58, DOI 10.1016/j.dsr2.2012.02.023
Zhang P, 2016, COMMUN ASSOC INF SYS, V38, P420
Zhao L, 2018, ACTA OCEANOL SIN, V37, P96, DOI 10.1007/s13131-018-1149-9
Zhao YA, 2011, CHIN J OCEANOL LIMN, V29, P150, DOI 10.1007/s00343-011-9086-x
Zhao ZB, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0647-0
NR 89
TC 16
Z9 17
PD MAR 10
PY 2021
VL 759
AR 143496
DI 10.1016/j.scitotenv.2020.143496
EA JAN 2021
UT WOS:000605764100054
DA 2025-07-30
ER
PT J
AU Guo, J
Zheng, YY
Teng, JH
Wang, XM
Song, JX
AF Guo, Jun
Zheng, Yuanyuan
Teng, Jinhao
Wang, Xumin
Song, Jiaxiu
TI Characteristics of spatial distribution for microbial ecology inside and
outside source water reservoir
SO JOURNAL OF CLEANER PRODUCTION
DT Article
AB Although the steady-state transition caused by ecological changes is well known, the microorganisms involved are rarely understood. Gradual microbial community changes induced by the storage and operation of reservoirs were investigated in this study. Microbial 16S rRNA (16S ribosomal RNA) and ITS (Internal Transcribed Spacer) genes were analyzed by high-throughput sequencing to explore the microbial diversity and interaction between microbial species and environmental factors inside and outside reservoirs. The results showed Chao parameters outside the reservoirs were significantly higher than those inside reservoirs, indicating that there are more species outside the reservoir. After the water enters the reservoir, alpha-, beta-, gamma-Proteobacteria decreased in abundance, but the species of Cyanobacteria, Verrucomicrobia and Planctomycete were enriched along with the water flow of the reservoirs. The rising trend of Cyanobacteria in the lower reaches of the reservoir proves the aggravation of eutrophication in the reservoir. Eukaryotic algae of high abundance were also found in the reservoir: Bacillariophyta (diatom), Chlorophyta (green algae), and Cryptomonadaceae. Less amount of these eukaryotic algae observed outside the reservoir further confirmed the eutrophication tendency inside the reservoir. Therefore, as the prolongation of residence time in the reservoir, the degree of eutrophication was enhanced accompanied by the directional transition of community structures. It was found that the decrease abundance of methylophilaceae (aerobic denitrification), pelagibacter and xylophilus (aerobic oxidation) occurred simultaneously with the increasing concentrations of CODMn, TOC and NO3-N after entering the reservoir. Actinobacteria was found to be the most dominant population. Some Fungi enriched in the reservoir such as Chytridiomycota, Sclerotiniaceae, and Rhizophydium are related to algae proliferations, which may increase the risk of forming water odor. The degree of decay in the reservoir is considered to be increasing due to rapid growth of both Bacteroidia and Chytridiomycota, which are supposed to be indicator bacteria for decaying. The detention area in the reservoir is likely to be an important driving factor. The research confirmed the influence factors of eutrophication and the ecological risk of the reservoir. The discovery of some functional microorganisms in the reservoir help understand the relationship between the ecological effect and the safety of drinking water source.
C1 [Guo, Jun; Zheng, Yuanyuan; Teng, Jinhao; Wang, Xumin; Song, Jiaxiu] Shanghai Normal Univ, Sch Environm & Geog Sci, Dept Environm Engn, Shanghai 200234, Peoples R China.
[Guo, Jun; Zheng, Yuanyuan; Teng, Jinhao; Wang, Xumin; Song, Jiaxiu] Wetland Ecosyst Observat & Res Field Stn, Shanghai 201799, Peoples R China.
RP Song, JX (corresponding author), Shanghai Normal Univ, Sch Environm & Geog Sci, Dept Environm Engn, Shanghai 200234, Peoples R China.
EM songjiaxiu@shnu.edu.cn
CR Bai Xiao-hui, 2011, Huanjing Kexue, V32, P120
Bush T, 2015, BIOGEOSCIENCES, V12, P3713, DOI 10.5194/bg-12-3713-2015
Bush T, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00912-x
Carrión VJ, 2019, SCIENCE, V366, P606, DOI 10.1126/science.aaw9285
Che FF, 2018, J ENVIRON SCI-CHINA, V66, P41, DOI 10.1016/j.jes.2017.05.041
Chen H, 2013, INT J SYST EVOL MICR, V63, P1017, DOI 10.1099/ijs.0.042887-0
Chen Jiao, 2014, Huanjing Kexue, V35, P3769
Chen YZ, 2018, J OCEANOL LIMNOL, V36, P1586, DOI 10.1007/s00343-018-7124-7
Cheng BF, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101707
Crump BC, 2012, ISME J, V6, P1629, DOI 10.1038/ismej.2012.9
Duan YM, 2019, BIORESOURCE TECHNOL, V274, P410, DOI 10.1016/j.biortech.2018.12.020
Fang DX, 2018, BIORESOURCE TECHNOL, V249, P684, DOI 10.1016/j.biortech.2017.10.063
Fu Q, 2012, J ENVIRON SCI-CHINA, V24, P1739, DOI 10.1016/S1001-0742(11)61011-5
Gao Y, 2021, WATER RES, V189, DOI 10.1016/j.watres.2020.116579
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P1358, DOI 10.1099/ijs.0.013292-0
Huang ZF, 2019, ENVIRON SCI EUR, V31, DOI 10.1186/s12302-019-0265-2
Ibekwe AM, 2016, SCI TOTAL ENVIRON, V566, P1176, DOI 10.1016/j.scitotenv.2016.05.168
Ido A, 2017, SCI REP-UK, V7, DOI 10.1038/srep45931
Javed Z, 2021, BIOCATAL AGR BIOTECH, V31, DOI 10.1016/j.bcab.2020.101893
Jayaraman JD, 2020, NAT PROD RES, V34, P1192, DOI 10.1080/14786419.2018.1553171
Jiang L, 2013, SCI TOTAL ENVIRON, V458, P267, DOI 10.1016/j.scitotenv.2013.04.038
Jiang Y, 2018, WATER-SUI, V10, DOI [10.3390/water10010115, 10.3390/w10020115]
Jones Sarah M, 2012, Front Psychol, V3, P550, DOI 10.3389/fpsyg.2012.00550
Kalyuhznaya MG, 2009, ENV MICROBIOL REP, V1, P385, DOI 10.1111/j.1758-2229.2009.00046.x
Kudo T, 2018, GENE, V665, P174, DOI 10.1016/j.gene.2018.04.072
Lescure T, 2020, RES MICROBIOL, V171, P13, DOI 10.1016/j.resmic.2019.09.006
Liu T, 2018, MICROBIOME, V6, DOI 10.1186/s40168-017-0388-x
Mathieu L, 2009, WATER RES, V43, P3375, DOI 10.1016/j.watres.2009.05.005
McCarthy DT, 2017, WATER RES, V109, P253, DOI 10.1016/j.watres.2016.11.043
Niemi RM, 2009, WATER RES, V43, P5075, DOI 10.1016/j.watres.2009.08.037
Niu AP, 2019, ECOTOX ENVIRON SAFE, V181, P412, DOI 10.1016/j.ecoenv.2019.06.023
[蒲洋 Pu Yang], 2017, [海洋科学, Marine Sciences], V41, P9
Read DS, 2015, ISME J, V9, P516, DOI 10.1038/ismej.2014.166
Richards TA, 2012, ANNU REV MAR SCI, V4, P495, DOI 10.1146/annurev-marine-120710-100802
Sánchez O, 2018, J MEMBRANE SCI, V545, P240, DOI 10.1016/j.memsci.2017.09.082
Sun L., 2020, SPATIAL DISTRIBUTION, P35, DOI [10.27398/d.cnki.gxalu.2020.000888, DOI 10.27398/D.CNKI.GXALU.2020.000888]
Vuillemin A, 2014, AQUAT SCI, V76, P101, DOI 10.1007/s00027-013-0317-4
Wang HM, 2012, J MT SCI-ENGL, V9, P891, DOI 10.1007/s11629-012-2445-z
Wang S, 2021, J ENVIRON SCI, V101, P156, DOI 10.1016/j.jes.2020.08.006
Widder S, 2016, ISME J, V10, P2557, DOI 10.1038/ismej.2016.45
Xiang SZ, 2020, SCI TOTAL ENVIRON, V706, DOI 10.1016/j.scitotenv.2019.135730
Xu C, 2017, CHEMOSPHERE, V188, P218, DOI 10.1016/j.chemosphere.2017.08.121
Yin Y., 2017, WATER PURIF TECHNOL, V36, P4
Yuan J., 2012, URBAN ROADS BRIDGES, V9, P181
Zhang XY, 2016, DEEP-SEA RES PT I, V116, P99, DOI 10.1016/j.dsr.2016.08.004
NR 45
TC 19
Z9 21
PD AUG 15
PY 2021
VL 311
AR 127697
DI 10.1016/j.jclepro.2021.127697
EA JUN 2021
UT WOS:000668106900006
DA 2025-07-30
ER
PT J
AU Sánchez, O
Ferrera, I
Mabrito, I
Gazulla, CR
Sebastián, M
Auladell, A
Marín-Vindas, C
Cardelús, C
Sanz-Sáez, I
Pernice, MC
Marrasé, C
Sala, MM
Gasol, JM
AF Sanchez, Olga
Ferrera, Isabel
Mabrito, Isabel
Gazulla, Carlota R.
Sebastian, Marta
Auladell, Adria
Marin-Vindas, Carolina
Cardelus, Clara
Sanz-Saez, Isabel
Pernice, Massimo C.
Marrase, Celia
Sala, M. Montserrat
Gasol, Josep M.
TI Seasonal impact of grazing, viral mortality, resource availability and
light on the group-specific growth rates of coastal Mediterranean
bacterioplankton
SO SCIENTIFIC REPORTS
DT Article
AB Estimation of prokaryotic growth rates is critical to understand the ecological role and contribution of different microbes to marine biogeochemical cycles. However, there is a general lack of knowledge on what factors control the growth rates of different prokaryotic groups and how these vary between sites and along seasons at a given site. We carried out several manipulation experiments during the four astronomical seasons in the coastal NW Mediterranean in order to evaluate the impact of grazing, viral mortality, resource competition and light on the growth and loss rates of prokaryotes. Gross and net growth rates of different bacterioplankton groups targeted by group-specific CARD-FISH probes and infrared microscopy (for aerobic anoxygenic phototrophs, AAP), were calculated from changes in cell abundances. Maximal group-specific growth rates were achieved when both predation pressure and nutrient limitation were experimentally minimized, while only a minimal effect of viral pressure on growth rates was observed; nevertheless, the response to predation removal was more remarkable in winter, when the bacterial community was not subjected to nutrient limitation. Although all groups showed increases in their growth rates when resource competition as well as grazers and viral pressure were reduced, Alteromonadaceae consistently presented the highest rates in all seasons. The response to light availability was generally weaker than that to the other factors, but it was variable between seasons. In summer and spring, the growth rates of AAP were stimulated by light whereas the growth of the SAR11 clade (likely containing proteorhodopsin) was enhanced by light in all seasons. Overall, our results set thresholds on bacterioplankton group-specific growth and mortality rates and contribute to estimate the seasonally changing contribution of various bacterioplankton groups to the function of microbial communities. Our results also indicate that the least abundant groups display the highest growth rates, contributing to the recycling of organic matter to a much greater extent than what their abundances alone would predict.
C1 [Sanchez, Olga; Mabrito, Isabel; Gazulla, Carlota R.] Univ Autonoma Barcelona, Dept Genet & Microbiol, Bellaterra 08193, Catalunya, Spain.
[Ferrera, Isabel] Inst Espanol Oceanog, Ctr Oceanog Malaga, Malaga 29640, Spain.
[Ferrera, Isabel; Gazulla, Carlota R.; Sebastian, Marta; Auladell, Adria; Marin-Vindas, Carolina; Cardelus, Clara; Sanz-Saez, Isabel; Pernice, Massimo C.; Marrase, Celia; Sala, M. Montserrat; Gasol, Josep M.] ICM CSIC, Dept Biol Marina & Oceanog, Inst Ciencies Mar, Barcelona 08003, Catalunya, Spain.
[Sebastian, Marta] Univ Las Palmas de Gran Canaria ULPGC, Inst Oceanog & Cambio Global IOCAG, Telde 35214, Spain.
[Marin-Vindas, Carolina] Univ Nacional, Escuela Ciencias Biol, Heredia 40101, Costa Rica.
RP Sánchez, O (corresponding author), Univ Autonoma Barcelona, Dept Genet & Microbiol, Bellaterra 08193, Catalunya, Spain.; Ferrera, I (corresponding author), Inst Espanol Oceanog, Ctr Oceanog Malaga, Malaga 29640, Spain.; Ferrera, I (corresponding author), ICM CSIC, Dept Biol Marina & Oceanog, Inst Ciencies Mar, Barcelona 08003, Catalunya, Spain.
EM olga.sanchez@uab.es; isabel.ferrera@ieo.es
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Alonso-Sáez L, 2010, ENVIRON MICROBIOL, V12, P2988, DOI 10.1111/j.1462-2920.2010.02276.x
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
Auladell A, 2019, ISME J, V13, P1975, DOI 10.1038/s41396-019-0401-4
Bertoni R, 2011, AQUAT SCI, V73, P377, DOI 10.1007/s00027-011-0185-8
Boras JA, 2009, ENVIRON MICROBIOL, V11, P1181, DOI 10.1111/j.1462-2920.2008.01849.x
Bouvier T, 2007, ENVIRON MICROBIOL, V56, P1919
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caron DA, 2000, AQUAT MICROB ECOL, V22, P175, DOI 10.3354/ame022175
Chow CET, 2012, ENVIRON MICROBIOL, V14, P2171, DOI 10.1111/j.1462-2920.2012.02744.x
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
de Fommervault OP, 2015, J GEOPHYS RES-OCEANS, V120, P8528, DOI 10.1002/2015JC011103
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Evans C, 2003, AQUAT MICROB ECOL, V30, P207, DOI 10.3354/ame030207
Feng S, 2013, ISME J, V7, P2206, DOI 10.1038/ismej.2013.97
Ferrera I, 2017, ISME J, V11, P2391, DOI 10.1038/ismej.2017.79
Ferrera I, 2014, ENVIRON MICROBIOL, V16, P2953, DOI 10.1111/1462-2920.12278
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galí M, 2013, BIOGEOSCIENCES, V10, P7983, DOI 10.5194/bg-10-7983-2013
Gasol J.M., 2016, HYDROCARBON LIPID MI, P159, DOI DOI 10.1007/86232015139
Gasol J. M., 2012, ICES PHYTOPLANKTON M, P138
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2002, ANTON LEEUW INT J G, V81, P435, DOI 10.1023/A:1020578418898
Gasol JM, 2016, SCI MAR, V80, P63, DOI 10.3989/scimar.04480.06E
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giner CR, 2019, MOL ECOL, V28, P923, DOI 10.1111/mec.14929
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw8855
Gran-Stadniczeñko S, 2019, J EUKARYOT MICROBIOL, V66, P494, DOI 10.1111/jeu.12700
Guixa-Boixereu N, 1999, AQUAT MICROB ECOL, V19, P205, DOI 10.3354/ame019205
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kremling K., 1983, Methods of Seawater Analysis, V2nd
Lambert S, 2019, ISME J, V13, P388, DOI 10.1038/s41396-018-0281-z
Lankiewicz TS, 2016, ISME J, V10, P823, DOI 10.1038/ismej.2015.156
Martinez-Hernandez F, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01226
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Masín M, 2006, AQUAT MICROB ECOL, V45, P247, DOI 10.3354/ame045247
Massana R, 2011, ANNU REV MICROBIOL, V65, P91, DOI 10.1146/annurev-micro-090110-102903
Matallana-Surget S, 2012, J PHOTOCH PHOTOBIO B, V117, P254, DOI 10.1016/j.jphotobiol.2012.09.011
Morán XAG, 2001, APPL ENVIRON MICROB, V67, P3795, DOI 10.1128/AEM.67.9.3795-3801.2001
Morán XAG, 2018, ENVIRON MICROBIOL, V20, P3798, DOI 10.1111/1462-2920.14393
Morán XAG, 2010, AQUAT MICROB ECOL, V58, P229, DOI 10.3354/ame01374
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Pagarete A, 2013, APPL ENVIRON MICROB, V79, P6253, DOI 10.1128/AEM.01075-13
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Pasulka AL, 2015, J PLANKTON RES, V37, P320, DOI 10.1093/plankt/fbv011
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
Pinhassi J, 2006, AQUAT MICROB ECOL, V44, P241, DOI 10.3354/ame044241
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Ruiz-González C, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00131
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Sabbagh EI, 2020, FEMS MICROBIOL ECOL, V96, DOI 10.1093/femsec/fiaa033
Sánchez O, 2017, ENV MICROBIOL REP, V9, P300, DOI 10.1111/1758-2229.12535
Sardessai S, 2010, MAR ENVIRON RES, V70, P272, DOI 10.1016/j.marenvres.2010.05.009
SHIAH FK, 1994, LIMNOL OCEANOGR, V39, P1243, DOI 10.4319/lo.1994.39.6.1243
Shiah FK, 2003, DEEP-SEA RES PT II, V50, P1295, DOI 10.1016/S0967-0645(03)00024-9
Silva L, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03244
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Suzuki R, 2006, BIOINFORMATICS, V22, P1540, DOI 10.1093/bioinformatics/btl117
TAKAHASHI T, 1993, GLOBAL BIOGEOCHEM CY, V7, P843, DOI 10.1029/93GB02263
Tarran GA, 2015, PROG OCEANOGR, V137, P446, DOI 10.1016/j.pocean.2015.04.024
Teira E, 2019, ENVIRON MICROBIOL, V21, P1482, DOI 10.1111/1462-2920.14581
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Tomasch J, 2011, ISME J, V5, P1957, DOI 10.1038/ismej.2011.68
Tsai AY, 2013, BIOGEOSCIENCES, V10, P3055, DOI 10.5194/bg-10-3055-2013
Unrein F, 2007, LIMNOL OCEANOGR, V52, P456, DOI 10.4319/lo.2007.52.1.0456
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Wong CS, 2002, DEEP-SEA RES PT II, V49, P5317, DOI 10.1016/S0967-0645(02)00193-5
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Zeder M, 2011, CYTOM PART A, V79A, P306, DOI 10.1002/cyto.a.21034
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 82
TC 18
Z9 18
PD NOV 13
PY 2020
VL 10
IS 1
AR 19773
DI 10.1038/s41598-020-76590-5
UT WOS:000594640400001
DA 2025-07-30
ER
PT J
AU Gifford, SM
Zhao, L
Stemple, B
DeLong, K
Medeiros, PM
Seim, H
Marchetti, A
AF Gifford, Scott M.
Zhao, Liang
Stemple, Brooke
DeLong, Kimberly
Medeiros, Patricia M.
Seim, Harvey
Marchetti, Adrian
TI Microbial Niche Diversification in the Galapagos Archipelago and Its
Response to El Nino
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB The Galapagos Archipelago is located at the intersection of several major oceanographic features that produce diverse environmental conditions around the islands, and thus has the potential to serve as a natural laboratory for discerning the underlying environmental factors that structure marine microbial communities. Here we used quantitative metagenomics to characterize microbial communities in relation to archipelago marine habitats, and how those populations shift due to substantial environmental changes brought on by El Nino. Environmental conditions such as temperature, salinity, inorganic dissolved nutrients, and dissolved organic carbon (DOC) concentrations varied throughout the archipelago, revealing a diversity of potential microbial niches arising from upwelling, oligotrophic to eutrophic gradients, physical isolation, and potential island mass effects. The volumetric abundances of microbial community members shifted with these environmental changes and revealed several taxonomic indicators of different water masses. This included a transition from a Synechococcus dominated system in the west to an even mix of Synechococcus and Prochlorococcus in the east, mirroring the archipelago's mesotrophic to oligotrophic and productivity gradients. Several flavobacteria groups displayed characteristic habitat distributions, including enrichment of Polaribacter and Tenacibaculum clades in the relatively nutrient rich western waters, Leeuwenhoekiella spp. that were enriched in the more nutrient-deplete central and eastern sites, and the streamlined MS024-2A group found to be abundant across all sites. During the 2015/16 El Nino event, both environmental conditions and microbial community composition were substantially altered, primarily on the western side of the archipelago due to the reduction of upwelling from the Equatorial Undercurrent. When the upwelling resumed, concentrations of inorganic nutrients and DOC at the western surface sites were more typical of mesopelagic depths. Correspondingly, Synechococcus abundances decreased by an order of magnitude, while groups associated with deeper water masses were enriched, including streamlined roseobacters HTCC2255 and HIMB11, Thioglobacaceae, methylotrophs (Methylophilaceae), archaea (Nitrosopumilaceae), and distinct subpopulations of Pelagibaceriales (SAR11 clade). These results provide a quantitative framework to connect community-wide microbial volumetric abundances to their environmental drivers, and thus incorporation into biogeochemical and ecological models.
C1 [Gifford, Scott M.; Zhao, Liang; Seim, Harvey; Marchetti, Adrian] Univ N Carolina, Dept Marine Sci, Chapel Hill, NC 27515 USA.
[Stemple, Brooke] Univ Notre Dame, Dept Civil & Environm Engn & Earth Sci, Notre Dame, IN 46556 USA.
[DeLong, Kimberly] Univ Calif Santa Cruz, Dept Ocean Sci, Santa Cruz, CA 95064 USA.
[Medeiros, Patricia M.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
RP Gifford, SM (corresponding author), Univ N Carolina, Dept Marine Sci, Chapel Hill, NC 27515 USA.
EM sgifford@email.unc.edu
CR Afgan E, 2016, NUCLEIC ACIDS RES, V44, pW3, DOI 10.1093/nar/gkw343
Billerbeck S., 2016, NAT MICRO, V16, P01
BRAND L E, 1981, Journal of Plankton Research, V3, P193, DOI 10.1093/plankt/3.2.193
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Campoverde NCG, 2018, PEERJ, V6, DOI 10.7717/peerj.5984
de Boyer Montégut C, 2004, J GEOPHYS RES-OCEANS, V109, DOI 10.1029/2004JC002378
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
HAMA T, 1983, MAR BIOL, V73, P31, DOI 10.1007/BF00396282
Hansell D.A., 2005, EOS T AM GEOPHYS UN, V86, P318
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Hasegawa D, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039743
James AK, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00016
Jimenez R., 1981, Coastal and Estuarine Sciences, DOI [DOI 10.1029/CO001P0327, 10.1029/CO001p0327]
KARL DM, 1980, SCIENCE, V207, P1345, DOI 10.1126/science.207.4437.1345
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Landa M, 2019, ISME J, V13, P2536, DOI 10.1038/s41396-019-0455-3
Lin YJ, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.02634-18
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Medeiros PM, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00069
Medeiros PM, 2017, LIMNOL OCEANOGR, V62, P1718, DOI 10.1002/lno.10528
Medeiros PM, 2015, GEOPHYS RES LETT, V42, P863, DOI 10.1002/2014GL062663
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Moran MA, 2015, SCIENCE, V350, DOI 10.1126/science.aac8455
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Reynolds RW, 2002, J CLIMATE, V15, P1609, DOI 10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2
Santoro AE, 2019, ANNU REV MAR SCI, V11, P131, DOI [10.1146/annurev-marine-121916063141, 10.1146/annurev-marine-121916-063141]
Santoso A, 2017, REV GEOPHYS, V55, P1079, DOI 10.1002/2017RG000560
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Satinsky BM, 2013, METHOD ENZYMOL, V531, P237, DOI 10.1016/B978-0-12-407863-5.00012-5
Schaeffer BA, 2008, REMOTE SENS ENVIRON, V112, P3044, DOI 10.1016/j.rse.2008.03.005
SLAWYK G, 1977, LIMNOL OCEANOGR, V22, P925, DOI 10.4319/lo.1977.22.5.0925
Spietz RL, 2019, ENVIRON MICROBIOL, V21, P2391, DOI 10.1111/1462-2920.14623
Sun Y, 2017, ENVIRON MICROBIOL, V19, P1625, DOI 10.1111/1462-2920.13683
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Tang WY, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08640-0
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teramoto M, 2014, INT J SYST EVOL MICR, V64, P4016, DOI 10.1099/ijs.0.065847-0
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Varaljay VA, 2015, ISME J, V9, P1677, DOI 10.1038/ismej.2015.23
Wang S, 2018, ISME J, V12, P2582, DOI 10.1038/s41396-018-0163-4
Wang Z, 2019, ENVIRON MICROBIOL, V21, P3862, DOI 10.1111/1462-2920.14734
Wilson ST, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.118
Yanyun Liu, 2014, International Journal of Oceanography, DOI 10.1155/2014/198686
Zhang Y, 2016, APPL ENVIRON MICROB, V82, P2100, DOI 10.1128/AEM.03678-15
NR 50
TC 8
Z9 9
PD OCT 23
PY 2020
VL 11
AR 575194
DI 10.3389/fmicb.2020.575194
UT WOS:000615671000001
DA 2025-07-30
ER
PT J
AU Li, JY
Hua, ZS
Liu, T
Wang, CW
Li, J
Bai, G
Lucker, S
Jetten, MSM
Zheng, M
Guo, JH
AF Li, Jiyun
Hua, Zheng-Shuang
Liu, Tao
Wang, Chengwen
Li, Jie
Bai, Ge
Lucker, Sebastian
Jetten, Mike S. M.
Zheng, Min
Guo, Jianhua
TI Dynamic carbon flux network of a diverse marine microbial community
SO ISME COMMUNICATIONS
DT Article
AB The functioning of microbial ecosystems has important consequences from global climate to human health, but quantitative mechanistic understanding remains elusive. The components of microbial ecosystems can now be observed at high resolution, but interactions still have to be inferred e.g., a time-series may show a bloom of bacteria X followed by virus Y suggesting they interact. Existing inference approaches are mostly empirical, like correlation networks, which are not mechanistically constrained and do not provide quantitative mass fluxes, and thus have limited utility. We developed an inference method, where a mechanistic model with hundreds of species and thousands of parameters is calibrated to time series data. The large scale, nonlinearity and feedbacks pose a challenging optimization problem, which is overcome using a novel procedure that mimics natural speciation or diversification e.g., stepwise increase of bacteria species. The method allows for curation using species-level information from e.g., physiological experiments or genome sequences. The product is a mass-balancing, mechanistically-constrained, quantitative representation of the ecosystem. We apply the method to characterize phytoplankton-heterotrophic bacteria interactions via dissolved organic matter in a marine system. The resulting model predicts quantitative fluxes for each interaction and time point (e.g., 0.16 & mu;molC/L/d of chrysolaminarin to Polaribacter on April 16, 2009). At the system level, the flux network shows a strong correlation between the abundance of bacteria species and their carbon flux during blooms, with copiotrophs being relatively more important than oligotrophs. However, oligotrophs, like SAR11, are unexpectedly high carbon processors for weeks into blooms, due to their higher biomass. The fraction of exudates (vs. grazing/death products) in the DOM pool decreases during blooms, and they are preferentially consumed by oligotrophs. In addition, functional similarity of phytoplankton i.e., what they produce, decouples their association with heterotrophs. The methodology is applicable to other microbial ecosystems, like human microbiome or wastewater treatment plants.
C1 [Li, Jiyun; Wang, Chengwen; Bai, Ge] Tsinghua Univ, Sch Environm, Beijing, Peoples R China.
[Hua, Zheng-Shuang] Univ Sci & Technol China, Dept Environm Sci & Engn, Hefei, Peoples R China.
[Liu, Tao; Li, Jie; Zheng, Min; Guo, Jianhua] Univ Queensland, Fac Engn Architecture & Informat Technol, Adv Water Management Ctr, Brisbane, Qld, Australia.
[Lucker, Sebastian; Jetten, Mike S. M.] Radboud Univ Nijmegen, Dept Microbiol, IWWR, Nijmegen, AJ, Netherlands.
RP Wang, CW (corresponding author), Tsinghua Univ, Sch Environm, Beijing, Peoples R China.; Zheng, M; Guo, JH (corresponding author), Univ Queensland, Fac Engn Architecture & Informat Technol, Adv Water Management Ctr, Brisbane, Qld, Australia.
EM wangcw@tsinghua.edu.cn; m.zheng@awmc.uq.edu.au; j.guo@awmc.uq.edu.au
CR Ahlgren NA, 2019, ENVIRON MICROBIOL, V21, P2948, DOI 10.1111/1462-2920.14687
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Becker S, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.03389-16
Ben Francis T, 2021, ISME J, V15, P2336, DOI 10.1038/s41396-021-00928-8
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Capuzzo E, 2018, GLOBAL CHANGE BIOL, V24, pE352, DOI 10.1111/gcb.13916
Castellanos M, 2004, P NATL ACAD SCI USA, V101, P6681, DOI 10.1073/pnas.0400962101
Chapra S.C., 1997, SURFACE WATER QUALIT
COFFIN RB, 1989, LIMNOL OCEANOGR, V34, P531, DOI 10.4319/lo.1989.34.3.0531
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Daines SJ, 2014, ECOL LETT, V17, P414, DOI 10.1111/ele.12239
Eiler A, 2012, ISME J, V6, P330, DOI 10.1038/ismej.2011.113
Faust K, 2015, CURR OPIN MICROBIOL, V25, P56, DOI 10.1016/j.mib.2015.04.004
Fiore CL, 2015, ENVIRON MICROBIOL, V17, P3949, DOI 10.1111/1462-2920.12899
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Garcia SL, 2018, MSPHERE, V3, DOI 10.1128/mSphere.00202-18
GOOSEN NK, 1995, HYDROBIOLOGIA, V311, P31, DOI 10.1007/BF00008569
Heliweger FL, 2017, ECOL MODEL, V346, P77, DOI 10.1016/j.ecolmodel.2016.12.001
Hellweger FL, 2008, LIMNOL OCEANOGR, V53, P1227, DOI 10.4319/lo.2008.53.4.1227
Hellweger FL, 2020, ISME J, V14, P560, DOI 10.1038/s41396-019-0547-0
Hellweger FL, 2020, ANNU REV MAR SCI, V12, P267, DOI 10.1146/annurev-marine-010419-010829
Hellweger FL, 2004, ENVIRON SCI TECHNOL, V38, P6716, DOI 10.1021/es049660k
HUTCHINSON G, 1961, AM NAT, V95, P137, DOI 10.1086/282171
Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107
Jousset A, 2017, ISME J, V11, P853, DOI 10.1038/ismej.2016.174
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
Lucas J, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00321
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Mieleitner J, 2008, ECOL MODEL, V211, P279, DOI 10.1016/j.ecolmodel.2007.09.010
Paver SF, 2010, MICROB ECOL, V60, P406, DOI 10.1007/s00248-010-9722-6
Pinto F, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02507
Posch T, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01289
Reichert P, 1997, ECOL MODEL, V95, P289, DOI 10.1016/S0304-3800(96)00043-9
Reintjes G, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.583158
Ruan QS, 2006, BIOINFORMATICS, V22, P2532, DOI 10.1093/bioinformatics/btl417
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Shibl AA, 2020, P NATL ACAD SCI USA, V117, P27445, DOI 10.1073/pnas.2012088117
Sperling M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00065
Stepanauskas R, 2003, AQUAT MICROB ECOL, V31, P85, DOI 10.3354/ame031085
Suzuki K, 2017, METHODS ECOL EVOL, V8, P1774, DOI 10.1111/2041-210X.12814
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Vergin KL, 2013, AQUAT MICROB ECOL, V71, P1, DOI 10.3354/ame01661
Weitz JS, 2015, ISME J, V9, P1352, DOI 10.1038/ismej.2014.220
NR 43
TC 12
Z9 12
PD SEP 25
PY 2021
VL 1
IS 1
AR 50
DI 10.1038/s43705-021-00055-7
UT WOS:001051610500001
DA 2025-07-30
ER
PT J
AU Walters, W
Hyde, ER
Berg-Lyons, D
Ackermann, G
Humphrey, G
Parada, A
Gilbert, JA
Jansson, JK
Caporaso, JG
Fuhrman, JA
Apprill, A
Knight, R
AF Walters, William
Hyde, Embriette R.
Berg-Lyons, Donna
Ackermann, Gail
Humphrey, Greg
Parada, Alma
Gilbert, Jack A.
Jansson, Janet K.
Caporaso, J. Gregory
Fuhrman, Jed A.
Apprill, Amy
Knight, Rob
TI Improved Bacterial 16S rRNA Gene (V4 and V4-5) and Fungal Internal
Transcribed Spacer Marker Gene Primers for Microbial Community Surveys
SO MSYSTEMS
DT Article
AB Designing primers for PCR-based taxonomic surveys that amplify a broad range of phylotypes in varied community samples is a difficult challenge, and the comparability of data sets amplified with varied primers requires attention. Here, we examined the performance of modified 16S rRNA gene and internal transcribed spacer (ITS) primers for archaea/bacteria and fungi, respectively, with nonaquatic samples. We moved primer bar codes to the 5' end, allowing for a range of different 3' primer pairings, such as the 515f/926r primer pair, which amplifies variable regions 4 and 5 of the 16S rRNA gene. We additionally demonstrated that modifications to the 515f/806r (variable region 4) 16S primer pair, which improves detection of Thaumarchaeota and clade SAR11 in marine samples, do not degrade performance on taxa already amplified effectively by the original primer set. Alterations to the fungal ITS primers did result in differential but overall improved performance compared to the original primers. In both cases, the improved primers should be widely adopted for amplicon studies.
IMPORTANCE We continue to uncover a wealth of information connecting microbes in important ways to human and environmental ecology. As our scientific knowledge and technical abilities improve, the tools used for microbiome surveys can be modified to improve the accuracy of our techniques, ensuring that we can continue to identify groundbreaking connections between microbes and the ecosystems they populate, from ice caps to the human body. It is important to confirm that modifications to these tools do not cause new, detrimental biases that would inhibit the field rather than continue to move it forward. We therefore demonstrated that two recently modified primer pairs that target taxonomically discriminatory regions of bacterial and fungal genomic DNA do not introduce new biases when used on a variety of sample types, from soil to human skin. This confirms the utility of these primers for maintaining currently recommended microbiome research techniques as the state of the art.
C1 [Walters, William] Cornell Univ, Dept Mol Biol & Genet, Ithaca, NY USA.
[Hyde, Embriette R.; Ackermann, Gail; Humphrey, Greg; Knight, Rob] Univ Calif San Diego, Dept Pediat, La Jolla, CA 92093 USA.
[Berg-Lyons, Donna] Univ Colorado, BioFrontiers Inst, Boulder, CO 80309 USA.
[Parada, Alma; Fuhrman, Jed A.] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
[Gilbert, Jack A.] Argonne Natl Lab, Biosci Div BIO, 9700 S Cass Ave, Argonne, IL 60439 USA.
[Gilbert, Jack A.] Univ Chicago, Dept Ecol & Evolut, 940 E 57th St, Chicago, IL 60637 USA.
[Gilbert, Jack A.] Univ Chicago, Dept Surg, 5841 S Maryland Ave, Chicago, IL 60637 USA.
[Gilbert, Jack A.] Univ Chicago, Inst Genom & Syst Biol, Chicago, IL 60637 USA.
[Gilbert, Jack A.] Marine Biol Lab, Woods Hole, MA 02543 USA.
[Gilbert, Jack A.] Field Museum Nat Hist, Chicago, IL 60605 USA.
[Jansson, Janet K.] Pacific Northwest Natl Lab, Earth & Biol Sci Directorate, Richland, WA 99352 USA.
[Caporaso, J. Gregory] No Arizona Univ, Dept Biol Sci, Box 5640, Flagstaff, AZ 86011 USA.
[Apprill, Amy] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
[Knight, Rob] Univ Calif San Diego, Dept Comp Sci, La Jolla, CA 92093 USA.
[Knight, Rob] Univ Calif San Diego, Dept Engn, La Jolla, CA 92093 USA.
RP Knight, R (corresponding author), Univ Calif San Diego, Dept Pediat, La Jolla, CA 92093 USA.; Knight, R (corresponding author), Univ Calif San Diego, Dept Comp Sci, La Jolla, CA 92093 USA.; Knight, R (corresponding author), Univ Calif San Diego, Dept Engn, La Jolla, CA 92093 USA.
EM robknight@ucsd.edu
CR [Anonymous], SCIENCE
[Anonymous], ENV MICROBIOL
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Fadrosh DW, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-6
GARDES M, 1993, MOL ECOL, V2, P113, DOI 10.1111/j.1365-294X.1993.tb00005.x
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Hugerth LW, 2014, APPL ENVIRON MICROB, V80, P5116, DOI 10.1128/AEM.01403-14
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lauber CL, 2013, ISME J, V7, P1641, DOI 10.1038/ismej.2013.50
McDonald D, 2012, ISME J, V6, P610, DOI 10.1038/ismej.2011.139
Metcalf JL, 2013, ELIFE, V2, DOI 10.7554/eLife.01104
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Smith DP, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090234
Walters WA, 2011, BIOINFORMATICS, V27, P1159, DOI 10.1093/bioinformatics/btr087
White T.J., 1990, PCR PROTOCOLS GUIDE, V18, P315
NR 18
TC 1565
Z9 1788
PD JAN-FEB
PY 2016
VL 1
IS 1
AR e00009
DI 10.1128/mSystems.00009-15
UT WOS:000408190500004
HC Y
HP N
DA 2025-07-30
ER
PT J
AU Raghukumar, S
AF Raghukumar, Seshagiri
TI Marine microbial eukaryotic diversity, with particular reference to
fungi: Lessons from prokaryotes
SO INDIAN JOURNAL OF MARINE SCIENCES
DT Article
AB Novel molecular, analytical and culturing techniques have resulted in dramatic changes in our approaches towards marine eukaryotic diversity in recent years. This article reviews marine fungal diversity in the light of current knowledge, citing examples of how progress in understanding marine prokaryotes has often contributed to this new approach. Both 'true fungi' (termed mycenaean fungi in this review) and straminipilan fungi are considered. Molecular phylogenetic studies of prokaryotes has resulted in their redefinition as belonging to the Kingdoms Bacteria and Archaea. Likewise, major refinements have taken place in the phylogenetic classification of eukaryotes. In the case of fungi, it has now been realized that they are polyphyletic, belonging to the Kingdom Mycenae (Fungi), as well as the Kingdom Strairtinipila or Chromista. Although the total number of fungi on earth is estimated to be about 1.5 million, only a meagre number of obligate marine fungi, about 450 mycenaean and 50 straminipilan fungi have been described so far. It is likely that most of the true marine fungi have not yet been discovered. These are likely to have evolved between 1,500 million years ago (Ma) when fungi probably evolved in the sea and 900 Ma when they conquered land together with green plants. It now appears that most of the true marine fungi have not been cultured so far, similar to the 'great plate count anomaly' of bacteria. Thraustochytrids, which are abundant in the water column, but not easily culturable from that source is an example. Intelligent and novel culture methods might bring forth unusual and new marine fungi, as happened in the case of Pelagibacter ubique belonging to the SAR 11 group of bacteria. Molecular techniques might bring to light novel marine fungi, as is happening with bacteria. Such fungi may defy our conventional wisdom regarding these organisms in terms of morphology. Thus, several recent studies using 18S rRNA gene community profiles have discovered picoplanktonic marine fungi in the water column. Studies such as those on molecular diversity of eukaryotes in permanently anoxic habitats have also indicated that fungi may be abundant in exotic habitats and possess unusual physiology. A search for fungi in biodiversity-rich habitats, such as the coral reefs and the deep-sea, using a combination of molecular and novel culture methods is likely to reveal a fascinating diversity of marine fungi.
C1 Myko Tech Pvt Ltd, Panaji 403004, Goa, India.
RP Raghukumar, S (corresponding author), Myko Tech Pvt Ltd, 313 Vainguinnim Valley, Panaji 403004, Goa, India.
EM sraghu865@yahoo.co.in
CR Adl SM, 2005, J EUKARYOT MICROBIOL, V52, P399, DOI 10.1111/j.1550-7408.2005.00053.x
AGRIOS GN, 1988, PLANT PATHOL, P351
[Anonymous], 1990, Handbook of Protoctista
[Anonymous], MICROBIAL DIVERSITY
BARR DJS, 1992, MYCOLOGIA, V84, P1, DOI 10.2307/3760397
Brookman JL, 2000, MICROBIOL-SGM, V146, P393, DOI 10.1099/00221287-146-2-393
Cavalier-Smith T, 1998, SYST ASSOC SPEC VOL, V56, P375
CAVALIERSMITH T, 2004, P ROYAL SOC LOND B, V272, P1251
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Damare S, 2006, DEEP-SEA RES PT I, V53, P14, DOI 10.1016/j.dsr.2005.09.005
Dawson SC, 2002, P NATL ACAD SCI USA, V99, P8324, DOI 10.1073/pnas.062169599
DeLong EF, 2005, NATURE, V437, P336, DOI 10.1038/nature04157
DICK MW, 2001, STRAMINIPILOUS FUNGI, P672
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
HAWKSWORTH DL, 1991, MYCOL RES, V95, P641, DOI 10.1016/S0953-7562(09)80810-1
Heckman DS, 2001, SCIENCE, V293, P1129, DOI 10.1126/science.1061457
Hentschel U, 2002, APPL ENVIRON MICROB, V68, P4431, DOI 10.1128/AEM.68.9.4431-4440.2002
Hyde KD., 2000, Marine Mycology; A practical Approach, P172
Jayakumar DA, 2004, AQUAT MICROB ECOL, V34, P69, DOI 10.3354/ame034069
Kohlmeyer J., 1979, Marine mycology. The higher fungi.
López-García P, 2001, NATURE, V409, P603, DOI 10.1038/35054537
Moon-van der Staay SY, 2001, NATURE, V409, P607, DOI 10.1038/35054541
Moore JC, 2005, PEDOBIOLOGIA, V49, P499, DOI 10.1016/j.pedobi.2005.05.008
Moreira D, 2002, TRENDS MICROBIOL, V10, P31, DOI 10.1016/S0966-842X(01)02257-0
NAQVI SWA, 1994, P INDIAN ACAD SCI EA, V100, P300
Porter D., 1990, P388
Raghukumar S, 2002, EUR J PROTISTOL, V38, P127, DOI 10.1078/0932-4739-00832
Raghukumar S, 2001, AQUAT MICROB ECOL, V24, P175, DOI 10.3354/ame024175
RAGHUKUMAR S, 1993, LIMNOL OCEANOGR, V38, P182
Ramaiah N, 2002, WATER RES, V36, P2383, DOI 10.1016/S0043-1354(01)00435-3
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rohwer F, 2002, MAR ECOL PROG SER, V243, P1, DOI 10.3354/meps243001
Sparrow FK., 1960, Aquatic phycomycetes, V2nd
Spatafora JW, 1998, AM J BOT, V85, P1569, DOI 10.2307/2446483
SRINIVASAN MC, 2004, PRACTICAL MYCOLOGY I, P242
Steenkamp ET, 2006, MOL BIOL EVOL, V23, P93, DOI 10.1093/molbev/msj011
Stoeck T, 2003, APPL ENVIRON MICROB, V69, P5656, DOI 10.1128/AEM.69.9.5656-5663.2003
Stoeck T, 2003, APPL ENVIRON MICROB, V69, P2657, DOI 10.1128/AEM.69.5.2657-2663.2003
Sumathi JC, 2006, PROTIST, V157, P363, DOI 10.1016/j.protis.2006.05.003
Takasaki K, 2004, BIOSCI BIOTECH BIOCH, V68, P978, DOI 10.1271/bbb.68.978
Tanabe Y, 2005, J GEN APPL MICROBIOL, V51, P267, DOI 10.2323/jgam.51.267
VOLKMANNKOHLMEYER B, 1992, MYCOTAXON, V44, P417
WHITTAKER RH, 1969, SCIENCE, V163, P150, DOI 10.1126/science.163.3863.150
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
NR 45
TC 5
Z9 6
PD DEC
PY 2006
VL 35
IS 4
BP 388
EP 398
UT WOS:000244268700013
DA 2025-07-30
ER
PT J
AU Anderson, SR
Harvey, EL
AF Anderson, Sean R.
Harvey, Elizabeth L.
TI Estuarine microbial networks and relationships vary between
environmentally distinct communities
SO PEERJ
DT Article
AB Microbial interactions have profound impacts on biodiversity, biogeochemistry, and ecosystem functioning, and yet, they remain poorly understood in the ocean and with respect to changing environmental conditions. We applied hierarchical clustering of an annual 16S and 18S amplicon dataset in the Skidaway River Estuary, which revealed two similar clusters for prokaryotes (Bacteria and Archaea) and protists: Cluster 1 (March-May and November-February) and Cluster 2 (June-October). We constructed co-occurrence networks from each cluster to explore how microbial networks and relationships vary between environmentally distinct periods in the estuary. Cluster 1 communities were exposed to significantly lower temperature, sunlight, NO3, and SiO4; only NH4 was higher at this time. Several network properties (e.g., edge number, degree, and centrality) were elevated for networks constructed with Cluster 1 vs. 2 samples. There was also evidence that microbial nodes in Cluster 1 were more connected (e.g., higher edge density and lower path length) compared to Cluster 2, though opposite trends were observed when networks considered Prokaryote-Protist edges only. The number of Prokaryote-Prokaryote and Prokaryote-Protist edges increased by >100% in the Cluster 1 network, mainly involving Flavobacteriales, Rhodobacterales, Peridiniales, and Cryptomonadales associated with each other and other microbial groups (e.g., SAR11, Bacillariophyta, and Strombidiida). Several Protist-Protist associations, including Bacillariophyta correlated with Syndiniales (Dino-Groups I and II) and an Unassigned Dinophyceae group, were more prevalent in Cluster 2. Based on the type and sign of associations that increased in Cluster 1, our findings indicate that mutualistic, competitive, or predatory relationships may have been more representative among microbes when conditions were less favorable in the estuary; however, such relationships require further exploration and validation in the field and lab. Coastal networks may also be driven by shifts in the abundance of certain taxonomic or functional groups. Sustained monitoring of microbial communities over environmental gradients, both spatial and temporal, is critical to predict microbial dynamics and biogeochemistry in future marine ecosystems.
C1 [Anderson, Sean R.] Mississippi State Univ, Northern Gulf Inst, Mississippi State, MS 39762 USA.
[Anderson, Sean R.] NOAA, Ocean Chem & Ecosyst Div, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA.
[Harvey, Elizabeth L.] Univ New Hampshire, Dept Biol Sci, Durham, NH 03824 USA.
RP Anderson, SR (corresponding author), Mississippi State Univ, Northern Gulf Inst, Mississippi State, MS 39762 USA.; Anderson, SR (corresponding author), NOAA, Ocean Chem & Ecosyst Div, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA.; Harvey, EL (corresponding author), Univ New Hampshire, Dept Biol Sci, Durham, NH 03824 USA.
EM sean.r.anderson@noaa.gov; elizabeth.harvey@unh.edu
CR Aberle N, 2012, MAR BIOL, V159, P2441, DOI 10.1007/s00227-012-1947-0
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Anderson SR, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00174
Assenov Y, 2008, BIOINFORMATICS, V24, P282, DOI 10.1093/bioinformatics/btm554
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Barton S, 2019, LIMNOL OCEANOGR, V64, P2081, DOI 10.1002/lno.11170
BERTNESS MD, 1994, TRENDS ECOL EVOL, V9, P191, DOI 10.1016/0169-5347(94)90088-4
Bittar TB, 2016, ESTUAR COAST SHELF S, V182, P72, DOI 10.1016/j.ecss.2016.08.046
Bjorbækmo MFM, 2020, ISME J, V14, P544, DOI 10.1038/s41396-019-0542-5
Blanchet FG, 2020, ECOL LETT, V23, P1050, DOI 10.1111/ele.13525
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolaños LM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.624164
Bolyen E, 2019, NAT BIOTECHNOL, V37, P1091, DOI 10.1038/s41587-019-0252-6
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Burki F, 2021, CURR BIOL, V31, pR1267, DOI 10.1016/j.cub.2021.07.066
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Caron DA, 2019, TRENDS MICROBIOL, V27, P197, DOI 10.1016/j.tim.2018.10.009
Caron DA, 2013, J PLANKTON RES, V35, P235, DOI 10.1093/plankt/fbs091
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Chaffron S, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abg1921
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Cloern JE, 2014, BIOGEOSCIENCES, V11, P2477, DOI 10.5194/bg-11-2477-2014
Damashek J, 2018, ESTUAR COAST, V41, P626, DOI 10.1007/s12237-017-0306-2
Decelle J., 2015, MARINE PROTISTS, P465, DOI DOI 10.1007/978-4-431-55130-0_19
Deutschmann IM, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01141-7
Faust K, 2021, ISME J, V15, P3111, DOI 10.1038/s41396-021-01027-4
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giner CR, 2019, MOL ECOL, V28, P923, DOI 10.1111/mec.14929
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Glibert PM, 2016, LIMNOL OCEANOGR, V61, P165, DOI 10.1002/lno.10203
Graff JR, 2011, LIMNOL OCEANOGR-METH, V9, P129, DOI 10.4319/lom.2011.9.129
Guillou L, 2008, ENVIRON MICROBIOL, V10, P3349, DOI 10.1111/j.1462-2920.2008.01731.x
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
He Q, 2014, ECOLOGY, V95, P1437, DOI 10.1890/13-2226.1
Hernandez DJ, 2021, ISME J, V15, P1722, DOI 10.1038/s41396-020-00882-x
Hu SK, 2015, J EUKARYOT MICROBIOL, V62, P688, DOI 10.1111/jeu.12217
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Ibarbalz FM, 2019, CELL, V179, P1084, DOI 10.1016/j.cell.2019.10.008
Ichinotsuka D, 2006, AQUAT MICROB ECOL, V42, P139, DOI 10.3354/ame042139
Jeong HJ, 2008, J EUKARYOT MICROBIOL, V55, P271, DOI 10.1111/j.1550-7408.2008.00336.x
Kandlikar Gaurav S, 2018, F1000Res, V7, P1734, DOI 10.12688/f1000research.16680.1
Kellogg CTE, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02628
KIRCHMAN DL, 1994, MICROBIAL ECOL, V28, P255, DOI 10.1007/BF00166816
Krabberod AK, 2017, AQUAT MICROB ECOL, V79, P1, DOI 10.3354/ame01811
Kurtz ZD, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004226
Lambert S, 2021, ENVIRON MICROBIOL, V23, P2592, DOI 10.1111/1462-2920.15482
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Liu Han, 2010, Adv Neural Inf Process Syst, V24, P1432
Logares R, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00827-8
Martin-Platero AM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02571-4
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Meyer N, 2017, FEMS MICROBIOL REV, V41, P880, DOI 10.1093/femsre/fux029
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Oksanen, 2022, VEGAN COMMUNITY ECOL
Paffenhöfer GA, 2007, MAR ECOL-EVOL PERSP, V28, P243, DOI 10.1111/j.1439-0485.2007.00162.x
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Park MG, 2004, J EUKARYOT MICROBIOL, V51, P145, DOI 10.1111/j.1550-7408.2004.tb00539.x
Piccardi P, 2019, P NATL ACAD SCI USA, V116, P15979, DOI 10.1073/pnas.1906172116
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
R Core Team, 2020, A language and environment for statistical computing
Röttjers L, 2018, FEMS MICROBIOL REV, V42, P761, DOI 10.1093/femsre/fuy030
ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
Santoferrara L, 2020, J EUKARYOT MICROBIOL, V67, P612, DOI 10.1111/jeu.12813
Sarmento H, 2010, PHILOS T R SOC B, V365, P2137, DOI 10.1098/rstb.2010.0045
Sassenhagen I, 2020, PROTIST, V171, DOI 10.1016/j.protis.2019.125709
Seong KA, 2006, MAR ECOL PROG SER, V322, P85, DOI 10.3354/meps322085
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stoeck T, 2010, MOL ECOL, V19, P21, DOI 10.1111/j.1365-294X.2009.04480.x
Stoecker DK, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00292
Stoecker DK, 2017, ANNU REV MAR SCI, V9, P311, DOI 10.1146/annurev-marine-010816-060617
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tipton L, 2018, MICROBIOME, V6, DOI 10.1186/s40168-017-0393-0
Verity PG, 2006, ESTUARIES COASTS, V29, P665, DOI 10.1007/BF02784291
Verity PG, 2010, ESTUAR COAST, V33, P513, DOI 10.1007/s12237-009-9208-2
Verity PG, 2002, ESTUARIES, V25, P944, DOI 10.1007/BF02691343
Vincent F, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00444-19
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Weiss S, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0237-y
Wickham H., 2019, J OPEN SOURCE SOFTWA, V4, P1686, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Xia XM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02057
NR 89
TC 6
Z9 6
PD SEP 20
PY 2022
VL 10
AR e14005
DI 10.7717/peerj.14005
UT WOS:000964563500007
DA 2025-07-30
ER
PT J
AU Luna, GM
AF Luna, Gian Marco
TI Diversity of marine microbes in a changing Mediterranean Sea
SO RENDICONTI LINCEI-SCIENZE FISICHE E NATURALI
DT Article
AB Unicellular microbes are fundamental players in the ecosystem functioning and biogeochemistry of the Mediterranean Sea. Due to the unique hydrological, geological and geomorphological features, the basin is a biodiversity hot-spot of multicellular organisms, and likewise can harbor peculiar assemblages of microbes if compared to other oceans. However, we still know little about the diversity of Mediterranean microbes, due to past methodological constraints only recently conquerable with next generation sequencing of DNA and metagenomics. This review aims at summarizing the knowledge on microbial diversity in the basin, by focusing on prokaryotes (bacteria and archaea) in pelagic and benthic habitats. Richness of bacterioplankton and archaeoplankton assemblages is high in surface and deep waters, and shows consistent horizontal and vertical patterns. Members of the SAR11 clade of Alphaproteobacteria dominate surface bacterial assemblages, followed by other Alphaproteobacteria, Cyanobacteria, Bacteroidetes and uncultured Gammaproteobacteria, with a different contribution according to distance from land and human impact. Meso- and bathypelagic bacterial assemblages are conversely dominated by Gammaproteobacteria, the most representative being the Mediterranean Alteromonas macleodii "deepecotype", followed by other taxa such as Delta- Betaproteobacteria, Acidobacteria, Planctomycetes and Chloroflexi. Archaeoplankton richness is lower, and assemblages differ between water layers, with higher abundance and diversity of Euryarchaeota in the surface, and of Crenarchaeota Marine Group (MG) I, among which specific Mediterranean ecotypes, in deeper layers. In the sediments, abundance and richness of bacteria are always higher than archaea. Surface benthic bacterial assemblages are dominated by Gamma- and Deltaproteobacteria, followed by Acidobacteria and Planctomycetes, and display community composition changes between coastal and deep-sea settings. Benthic archaea show dominance of Crenarchaeota MGI in deep-sea sediments, but their phylogenetic diversity is still poorly known. Pelagic and benthic assemblages include a large proportion of rare taxa, the contribution of which to the ecosystem functioning is unknown. Continuing the exploration of Mediterranean microbes will provide a "next generation" body of knowledge, which needs to be put into the context of climate change and the anthropogenic pressure affecting this highly vulnerable basin.
C1 Natl Res Council ISMAR, Inst Marine Sci, CNR, I-30122 Venice, Italy.
RP Luna, GM (corresponding author), Natl Res Council ISMAR, Inst Marine Sci, CNR, Castello 2737-F,Arsenale Tesa 104, I-30122 Venice, Italy.
EM gianmarco.luna@ve.ismar.cnr.it
CR Acinas SG, 1997, FEMS MICROBIOL ECOL, V24, P27, DOI 10.1111/j.1574-6941.1997.tb00420.x
Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Ben Said O, 2010, MICROB ECOL, V59, P445, DOI 10.1007/s00248-009-9585-x
Borin S, 2009, RES MICROBIOL, V160, P307, DOI 10.1016/j.resmic.2009.04.005
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Celussi M, 2007, GENE, V406, P113, DOI 10.1016/j.gene.2007.07.010
Celussi M, 2011, FEMS MICROBIOL ECOL, V75, P77, DOI 10.1111/j.1574-6941.2010.00997.x
COLL M, 2010, PLOS ONE, V5
Corinaldesi C, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.3299
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Danovaro R, 2006, APPL ENVIRON MICROB, V72, P5982, DOI 10.1128/AEM.01361-06
Danovaro R, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011832
Danovaro R, 2009, DEEP-SEA RES PT II, V56, P738, DOI 10.1016/j.dsr2.2008.10.011
De Corte D, 2009, ISME J, V3, P147, DOI 10.1038/ismej.2008.94
Díez-Vives C, 2014, SYST APPL MICROBIOL, V37, P68, DOI 10.1016/j.syapm.2013.08.006
Estrada M, 2014, MEDITERRANEAN SEA: ITS HISTORY AND PRESENT CHALLENGES, P87, DOI 10.1007/978-94-007-6704-1_6
Ettoumi B, 2010, SYST APPL MICROBIOL, V33, P222, DOI 10.1016/j.syapm.2010.02.005
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Gärtner A, 2011, ANTON LEEUW INT J G, V100, P421, DOI 10.1007/s10482-011-9599-5
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Garcia-Martinez M, 2009, ESTUAR COAST, V32, P276, DOI 10.1007/s12237-008-9115-y
Garczarek L, 2007, FEMS MICROBIOL ECOL, V60, P189, DOI 10.1111/j.1574-6941.2007.00297.x
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Ghiglione JF, 2005, AQUAT MICROB ECOL, V40, P229, DOI 10.3354/ame040229
Giovannelli D, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0072996
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Giuliano L, 1999, MICROBIAL ECOL, V37, P77
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Heijs SK, 2008, FEMS MICROBIOL ECOL, V64, P362, DOI 10.1111/j.1574-6941.2008.00463.x
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Karl DM, 2007, NAT REV MICROBIOL, V5, P759, DOI 10.1038/nrmicro1749
Kormas KA, 2008, GEOBIOLOGY, V6, P450, DOI 10.1111/j.1472-4669.2008.00172.x
La Cono V, 2009, DEEP-SEA RES PT II, V56, P768, DOI 10.1016/j.dsr2.2008.07.025
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Laghdass M, 2010, ENV MICROBIOL REP, V2, P761, DOI 10.1111/j.1758-2229.2010.00181.x
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
Luna GM, 2013, WATER RES, V47, P1156, DOI 10.1016/j.watres.2012.11.036
Luna GM, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004168
Luna GM, 2013, ENV MICROBIOL REP, V5, P731, DOI 10.1111/1758-2229.12075
Luna GM, 2009, CURR MICROBIOL, V59, P356, DOI 10.1007/s00284-009-9445-4
Luna GM, 2004, ENVIRON MICROBIOL, V6, P745, DOI 10.1111/j.1462-2920.2004.00611.x
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Massana R, 2008, CURR OPIN MICROBIOL, V11, P213, DOI 10.1016/j.mib.2008.04.004
Moeseneder MM, 1999, APPL ENVIRON MICROB, V65, P3518
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Nogales B, 2007, ENVIRON MICROBIOL, V9, P1913, DOI 10.1111/j.1462-2920.2007.01308.x
Picotti V, 2014, MEDITERRANEAN SEA: ITS HISTORY AND PRESENT CHALLENGES, P3, DOI 10.1007/978-94-007-6704-1_1
Plewniak F, 2013, MOL ECOL, V22, P4870, DOI 10.1111/mec.12432
Polymenakou PN, 2009, SYST APPL MICROBIOL, V32, P17, DOI 10.1016/j.syapm.2008.09.006
Polymenakou PN, 2005, MICROB ECOL, V50, P447, DOI 10.1007/s00248-005-0005-6
Polymenakou PN, 2005, MICROB ECOL, V49, P367, DOI 10.1007/s00248-004-0274-5
Quero GM, 2014, MAR GENOM, V17, P9, DOI 10.1016/j.margen.2014.04.002
Rodríguez-Blanco A, 2009, FEMS MICROBIOL ECOL, V67, P30, DOI 10.1111/j.1574-6941.2008.00591.x
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Santinelli C, 2010, DEEP-SEA RES PT II, V57, P1446, DOI 10.1016/j.dsr2.2010.02.014
Schroeder K, 2012, ELSEV INSIGHT, P187, DOI 10.1016/B978-0-12-416042-2.00003-3
Sebastián M, 2013, ISME J, V7, P1665, DOI 10.1038/ismej.2013.42
Sevastou K, 2013, BIOGEOSCIENCES, V10, P4861, DOI 10.5194/bg-10-4861-2013
Siokou-Frangou I, 2010, BIOGEOSCIENCES, V7, P1543, DOI 10.5194/bg-7-1543-2010
Smedile F, 2013, ENVIRON MICROBIOL, V15, P167, DOI 10.1111/j.1462-2920.2012.02827.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Tamburini C, 2009, DEEP-SEA RES PT II, V56, P700, DOI 10.1016/j.dsr2.2008.07.021
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
Vignaroli C, 2015, ISME J, V9, P508, DOI 10.1038/ismej.2014.164
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Winter C, 2009, LIMNOL OCEANOGR, V54, P160, DOI 10.4319/lo.2009.54.1.0160
Yakimov MM, 2011, ISME J, V5, P945, DOI 10.1038/ismej.2010.197
Yakimov MM, 2009, DEEP-SEA RES PT II, V56, P748, DOI 10.1016/j.dsr2.2008.07.024
Yakimov MM, 2005, ENVIRON MICROBIOL, V7, P1426, DOI 10.1111/j.1462-5822.2005.00829.x
Yokokawa T, 2010, AQUAT MICROB ECOL, V59, P185, DOI 10.3354/ame01393
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
Zaccone R, 2002, MAR ENVIRON RES, V54, P1, DOI 10.1016/S0141-1136(02)00089-2
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 80
TC 19
Z9 20
PD MAR
PY 2015
VL 26
IS 1
BP 49
EP 58
DI 10.1007/s12210-014-0333-x
UT WOS:000351639100006
DA 2025-07-30
ER
PT J
AU Sow, SLS
van de Poll, WH
Eveleth, R
Rich, JJ
Ducklow, HW
Rozema, PD
Luria, CM
Bolhuis, H
Meredith, MP
Amaral-Zettler, LA
Engelmann, JC
AF Sow, Swan L. S.
van de Poll, Willem H.
Eveleth, Rachel
Rich, Jeremy J.
Ducklow, Hugh W.
Rozema, Patrick D.
Luria, Catherine M.
Bolhuis, Henk
Meredith, Michael P.
Amaral-Zettler, Linda A.
Engelmann, Julia C.
TI Spatial and temporal variation of Antarctic microbial interactions: a
study around the west Antarctic Peninsula
SO ENVIRONMENTAL MICROBIOME
DT Article
AB Background The west Antarctic Peninsula (WAP) is a region of rapid environmental changes, with regional differences in climate warming along the north-south axis of the peninsula. Along the WAP, Palmer corresponds to a warmer region with lesser sea ice extent in the north compared to Rothera similar to 400 km to the south. Comprehensive and comparative, year-round assessments of the WAP microbial community dynamics in coastal surface waters at these two locations are imperative to understand the effects of regional climate warming variations on microbial community dynamics, but this is still lacking.
Results We report on the seasonal diversity, taxonomic overview, as well as predicted inter-and intra-domain causal effects (interactions) of the bacterial and microbial eukaryotic communities close to the Palmer station and at the Rothera time-series site between July 2013 and April 2014. Our 16S- and 18S-rRNA gene amplicon sequencing data showed that across all seasons, both bacteria and microbial eukaryotic communities were considerably different between the two sites which could be attributed to seawater temperature, and sea ice coverage in combination with sea ice type differences. Overall, in terms of biotic drivers, causal-effect modelling suggests that bacteria were stronger drivers of ecosystem dynamics at Palmer, while microbial eukaryotes played a stronger role at Rothera. The parasitic taxa Syndiniales persevered at both sites across the seasons, with Palmer and Rothera harbouring different key groups. Up to 62.3% of the negative causal effects were driven by Syndiniales at Rothera compared to only 13.5% at Palmer, suggesting that parasitism drives community dynamics at Rothera more strongly than at Palmer. Conversely, SAR11 Clade II, which was less abundant but persistent year-round at both sites, was the dominant driver at Palmer, evidenced by many (28.2% and 37.4% of positive and negative effects respectively) strong causal effects. Article note: Kindly check first page article notes are correct.
Conclusions Our research has shed light on the dynamics of microbial community composition and correlative interactions at two sampling locations that represent different climate regimes along the WAP.
C1 [Sow, Swan L. S.; Bolhuis, Henk; Amaral-Zettler, Linda A.; Engelmann, Julia C.] NIOZ Royal Netherlands Inst Sea Res, Dept Marine Microbiol & Biogeochem, POB 59, NL-1790 AB Den Burg, Netherlands.
[van de Poll, Willem H.; Rozema, Patrick D.] Univ Groningen, CIO Oceans Energy & Sustainabil Res Inst Groningen, Fac Sci & Engn, Groningen, Netherlands.
[Eveleth, Rachel] Oberlin Coll, Dept Geosci, Oberlin, OH USA.
[Rich, Jeremy J.] Univ Maine, Darling Marine Ctr, Sch Marine Sci, Walpole, ME USA.
[Ducklow, Hugh W.] Columbia Univ, Dept Earth & Environm Sci, New York, NY USA.
[Ducklow, Hugh W.] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY USA.
[Luria, Catherine M.] Harvard Med Sch, Lab Syst Pharmacol, Boston, MA USA.
[Meredith, Michael P.] British Antarctic Survey, Cambridge, England.
[Amaral-Zettler, Linda A.] Univ Amsterdam, Inst Biodivers & Ecosyst Dynam, Dept Freshwater & Marine Ecol, Amsterdam, Netherlands.
[Amaral-Zettler, Linda A.] Josephine Bay Paul Ctr, Marine Biol Lab, Woods Hole, MA 02543 USA.
[Sow, Swan L. S.] Nantes Univ, Ecole Cent Nantes, CNRS, UMR 6004,LS2N, F-44000 Nantes, France.
RP Sow, SLS; Amaral-Zettler, LA; Engelmann, JC (corresponding author), NIOZ Royal Netherlands Inst Sea Res, Dept Marine Microbiol & Biogeochem, POB 59, NL-1790 AB Den Burg, Netherlands.; Amaral-Zettler, LA (corresponding author), Univ Amsterdam, Inst Biodivers & Ecosyst Dynam, Dept Freshwater & Marine Ecol, Amsterdam, Netherlands.; Amaral-Zettler, LA (corresponding author), Josephine Bay Paul Ctr, Marine Biol Lab, Woods Hole, MA 02543 USA.; Sow, SLS (corresponding author), Nantes Univ, Ecole Cent Nantes, CNRS, UMR 6004,LS2N, F-44000 Nantes, France.
EM swan.lisan@gmail.com; linda.amaral-zettler@nioz.nl;
julia.engelmann@nioz.nl
CR Asbun AA, 2020, FRONT GENET, V11, DOI 10.3389/fgene.2020.489357
Alarcón-Schumacher T, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01014
Amaral-Zettler LA, 2021, ENVIRON POLLUT, V286, DOI 10.1016/j.envpol.2021.117439
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Andersen P., 1989, Marine Microbial Food Webs, V3, P66
Anderson SR, 2024, ISME COMMUN, V4, DOI 10.1093/ismeco/ycae014
Anderson SR, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00209-20
Arandia-Gorostidi N, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.901201
Armand LK, 2005, PALAEOGEOGR PALAEOCL, V223, P93, DOI 10.1016/j.palaeo.2005.02.015
Arrigo KR, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035624
Arrigo KR, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004551
Arrigo KR, 1999, SCIENCE, V283, P365, DOI 10.1126/science.283.5400.365
Arrigo KR, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2001JC001138
Balzano S, 2015, AQUAT MICROB ECOL, V74, P263, DOI 10.3354/ame01740
Barnett D.J., 2021, J OPEN SOURCE SOFTW, V6, P3201, DOI DOI 10.21105/JOSS.03201
Biggs TEG, 2019, POLAR BIOL, V42, P1997, DOI 10.1007/s00300-019-02576-3
Biggs TEG, 2021, ISME J, V15, P3615, DOI 10.1038/s41396-021-01033-6
Bolinesi F, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10196965
Mendes CRB, 2023, GLOBAL CHANGE BIOL, V29, P1791, DOI 10.1111/gcb.16602
Mendes CRB, 2013, POLAR BIOL, V36, P537, DOI 10.1007/s00300-012-1282-4
Brum JR, 2016, ISME J, V10, P437, DOI 10.1038/ismej.2015.125
Camoying MG, 2023, LIMNOL OCEANOGR, DOI 10.1002/lno.12392
Catlett D, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2303356120
Chambouvet A, 2008, SCIENCE, V322, P1254, DOI 10.1126/science.1164387
Clarke A, 2008, DEEP-SEA RES PT II, V55, P1988, DOI 10.1016/j.dsr2.2008.04.035
Clarke LJ, 2019, ISME J, V13, P734, DOI 10.1038/s41396-018-0306-7
Cleary AC, 2016, J PLANKTON RES, V38, P401, DOI 10.1093/plankt/fbw005
Coats DW, 2002, J PHYCOL, V38, P520, DOI 10.1046/j.1529-8817.2002.t01-1-01200.x
Constable AJ, 2014, GLOBAL CHANGE BIOL, V20, P3004, DOI 10.1111/gcb.12623
Decelle J, 2015, MOL ECOL RESOUR, V15, P1435, DOI 10.1111/1755-0998.12401
Deppeler SL, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00040
Ducklow HW, 2007, PHILOS T R SOC B, V362, P67, DOI 10.1098/rstb.2006.1955
Ducklow HW, 2012, J MARINE SYST, V98-99, P26, DOI 10.1016/j.jmarsys.2012.03.003
DUGDALE RC, 1967, LIMNOL OCEANOGR, V12, P196, DOI 10.4319/lo.1967.12.2.0196
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Foreman CM, 2011, FEMS MICROBIOL ECOL, V76, P401, DOI 10.1111/j.1574-6941.2011.01061.x
Frias-Lopez J, 2009, ENVIRON MICROBIOL, V11, P512, DOI 10.1111/j.1462-2920.2008.01793.x
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goodell E, 2024, J GEOPHYS RES-OCEANS, V129, DOI 10.1029/2023JC020453
Grattepanche JD, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.844856
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Guérin N, 2022, COMMUN BIOL, V5, DOI 10.1038/s42003-022-03939-z
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Henley SF, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00581
Henley SF, 2019, PROG OCEANOGR, V173, P208, DOI 10.1016/j.pocean.2019.03.003
Holland LZ, 2020, The biogeography of Antarctic marine diatoms and their response to varied iron concentrations
Hop H, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00243
Huse SM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000255
Information Manager P., 2019, Daily averaged weather timeseries (air temperature, pressure, wind speed, wind direction, precipitation, sky cover) at Palmer Station, Antarctica combining manual observations (1989-Dec12,2003) and PALMOS automatic weather station measurements (Dec 13, 2003-March2019). ver 8
Jin MB, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028849
Kalisch M, 2007, J MACH LEARN RES, V8, P613
Kim H, 2016, J GEOPHYS RES-BIOGEO, V121, P2369, DOI 10.1002/2015JG003311
Kim JD, 2009, MAR BIOTECHNOL, V11, P463, DOI 10.1007/s10126-008-9167-9
Kim S, 2006, J PHYCOL, V42, P1170, DOI 10.1111/j.1529-8817.2006.00277.x
Kimura K, 2017, AQUAT MICROB ECOL, V79, P79, DOI 10.3354/ame01818
Lannuzel D, 2013, POLAR BIOL, V36, P1483, DOI 10.1007/s00300-013-1368-7
Li DX, 2018, ENVIRON MICROBIOL, V20, P632, DOI 10.1111/1462-2920.13986
Lin YJ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14109-1
Lovejoy C, 1998, APPL ENVIRON MICROB, V64, P2806
Luria CM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02117
Luria CM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01731
Luria CM, 2014, AQUAT MICROB ECOL, V73, P107, DOI 10.3354/ame01703
Maathuis MH, 2010, NAT METHODS, V7, P247, DOI 10.1038/nmeth0410-247
Martin M., 2011, EMBnet J, V17, P10
Massom RA, 2010, POLAR SCI, V4, P149, DOI 10.1016/j.polar.2010.05.001
Meredith MP, 2017, DEEP-SEA RES PT II, V139, P40, DOI 10.1016/j.dsr2.2016.04.019
Meredith MP, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024042
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Nagarkar M, 2023, ENV MICROBIOL REP, V15, P157, DOI 10.1111/1758-2229.13138
Naughten KA, 2023, NAT CLIM CHANGE, V13, P1222, DOI 10.1038/s41558-023-01818-x
Nguyen TTH, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-33408-4
Oksanen Jari, 2024, CRAN
Palmer LTER., 2022, Environ Data Initiat, V6, P66
Pearl J, 2003, TEST-SPAIN, V12, P281, DOI 10.1007/BF02595718
Peura S, 2015, APPL ENVIRON MICROB, V81, P2090, DOI 10.1128/AEM.03660-14
Piquet AMT, 2011, FEMS MICROBIOL ECOL, V76, P413, DOI 10.1111/j.1574-6941.2011.01062.x
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raphael MN, 2016, B AM METEOROL SOC, V97, P111, DOI 10.1175/BAMS-D-14-00018.1
Rozema PD, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00184
Rozema PD, 2017, To diversity and beyond: shifting Antarctic microbial communities along environmental gradients
Ruiz-Halpern S, 2014, BIOGEOSCIENCES, V11, P2755, DOI 10.5194/bg-11-2755-2014
Sailley SF, 2013, MAR ECOL PROG SER, V492, P253, DOI 10.3354/meps10534
Sassenhagen I, 2020, PROTIST, V171, DOI 10.1016/j.protis.2019.125709
Schofield O, 2017, DEEP-SEA RES PT I, V124, P42, DOI 10.1016/j.dsr.2017.04.014
Schultz-Johansen M, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00839
Smith R., 2021, ecole: School of Ecology Package
Smith RC, 2001, ANN GLACIOL-SER, V33, P493, DOI 10.3189/172756401781818662
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Stammerjohn SE, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004269
Stammerjohn SE, 2008, DEEP-SEA RES PT II, V55, P2041, DOI 10.1016/j.dsr2.2008.04.026
Stekhoven DJ, 2012, BIOINFORMATICS, V28, P2819, DOI 10.1093/bioinformatics/bts523
Sun X, 2019, ISME J, V13, P2391, DOI 10.1038/s41396-019-0443-7
Suter EA, 2022, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.764605
Taruttis F, 2015, BIOINFORMATICS, V31, P3807, DOI 10.1093/bioinformatics/btv461
Team RC, 2021, R LANG ENV STAT COMP, V1, P371
Trefault N, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-80568-8
Tréguer P, 2018, NAT GEOSCI, V11, P27, DOI 10.1038/s41561-017-0028-x
Turner J, 2020, INT J CLIMATOL, V40, P2986, DOI 10.1002/joc.6378
Turner J, 2013, INT J CLIMATOL, V33, P852, DOI 10.1002/joc.3474
Unrein F, 2014, ISME J, V8, P164, DOI 10.1038/ismej.2013.132
van Buuren S, 2011, J STAT SOFTW, V45, P1
van Leeuwe MA, 2022, ELEMENTA-SCI ANTHROP, V10, DOI 10.1525/elementa.2021.00029
Vaughan DG, 2006, ARCT ANTARCT ALP RES, V38, P147, DOI 10.1657/1523-0430(2006)038[0147:RTIMCO]2.0.CO;2
Venables H, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02172-5
Vihtakari M, 2024, ggOceanMaps: Plot Data on Oceanographic Maps using "ggplot2
Wang JY, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.1091561
Weiland-Bräuer N, 2021, BIOLOGY-BASEL, V10, DOI 10.3390/biology10060496
Wietz M, 2015, ENVIRON MICROBIOL, V17, P3822, DOI 10.1111/1462-2920.12842
Yan D, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00613
NR 112
TC 0
Z9 0
PD FEB 8
PY 2025
VL 20
IS 1
AR 21
DI 10.1186/s40793-025-00663-z
UT WOS:001416630600002
DA 2025-07-30
ER
PT J
AU Ai, DM
Li, XX
Pan, HF
Chen, JM
Cram, JA
Xia, LC
AF Ai, Dongmei
Li, Xiaoxin
Pan, Hongfei
Chen, Jiamin
Cram, Jacob A.
Xia, Li C.
TI Explore mediated co-varying dynamics in microbial community using
integrated local similarity and liquid association analysis
SO BMC GENOMICS
DT Article; Proceedings Paper
CT 17th Asia Pacific Bioinformatics Conference (APBC) - Genomics
CY JAN 16, 2019
CL Wuhan, PEOPLES R CHINA
AB BackgroundDiscovering the key microbial species and environmental factors of microbial community and characterizing their relationships with other members are critical to ecosystem studies. The microbial co-occurrence patterns across a variety of environmental settings have been extensively characterized. However, previous studies were limited by their restriction toward pairwise relationships, while there was ample evidence of third-party mediated co-occurrence in microbial communities.MethodsWe implemented and applied the triplet-based liquid association analysis in combination with the local similarity analysis procedure to microbial ecology data. We developed an intuitive scheme to visualize those complex triplet associations along with pairwise correlations. Using a time series from the marine microbial ecosystem as example, we identified pairs of operational taxonomic units (OTUs) where the strength of their associations appeared to relate to the values of a third mediator variable. These mediator variables appear to modulate the associations between pairs of bacteria.ResultsUsing this analysis, we were able to assess the OTUs' ability to regulate its functional partners in the community, typically not manifested in the pairwise correlation patterns. For example, we identified Flavobacteria as a multifaceted player in the marine microbial ecosystem, and its clades were involved in mediating other OTU pairs. By contrast, SAR11 clades were not active mediators of the community, despite being abundant and highly correlated with other OTUs. Our results suggested that Flavobacteria are more likely to respond to situations where particles and unusual sources of dissolved organic material are prevalent, such as after a plankton bloom. On the other hand, SAR11s are oligotrophic chemoheterotrophs with inflexible metabolisms, and their relationships with other organisms may be less governed by environmental or biological factors.ConclusionsBy integrating liquid association with local similarity analysis to explore the mediated co-varying dynamics, we presented a novel perspective and a useful toolkit to analyze and interpret time series data from microbial community. Our augmented association network analysis is thus more representative of the true underlying dynamic structure of the microbial community. The analytic software in this study was implemented as new functionalities of the ELSA (Extended local similarity analysis) tool, which is available for free download (http://bitbucket.org/charade/elsa).
C1 [Ai, Dongmei; Li, Xiaoxin; Pan, Hongfei] Univ Sci & Technol Beijing, Sch Math & Phys, Xueyuan Rd, Beijing 100001, Peoples R China.
[Chen, Jiamin; Xia, Li C.] Stanford Univ, Sch Med, Dept Med, 269 Campus Dr, Stanford, CA 94305 USA.
[Cram, Jacob A.] Univ Maryland, Ctr Environm Sci, Cambridge, MA 21613 USA.
RP Xia, LC (corresponding author), Stanford Univ, Sch Med, Dept Med, 269 Campus Dr, Stanford, CA 94305 USA.; Cram, JA (corresponding author), Univ Maryland, Ctr Environm Sci, Cambridge, MA 21613 USA.
EM jcram@umces.edu; l.c.xia@stanford.edu
CR Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Bálint M, 2016, FEMS MICROBIOL REV, V40, P686, DOI 10.1093/femsre/fuw017
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carlson CA, 2007, OCEANOGRAPHY, V20, P89, DOI 10.5670/oceanog.2007.52
Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Coutinho FH, 2018, TRENDS MICROBIOL, V26, P955, DOI 10.1016/j.tim.2018.05.015
Cram JA, 2016, LIMNOL OCEANOGR, V61, P889, DOI 10.1002/lno.10259
Cram JA, 2015, ISME J, V9, P2573, DOI 10.1038/ismej.2015.76
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Cytryn E, 2000, APPL ENVIRON MICROB, V66, P3269, DOI 10.1128/AEM.66.8.3269-3276.2000
DeLong EF, 2005, NATURE, V437, P336, DOI 10.1038/nature04157
Deng Y, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-113
Duren Z, SCI REPORTS, V6, P22656
Eiler A, 2006, APPL ENVIRON MICROB, V72, P7431, DOI 10.1128/AEM.01559-06
Fang HY, 2015, BIOINFORMATICS, V31, P3172, DOI 10.1093/bioinformatics/btv349
Faust K, 2015, CURR OPIN MICROBIOL, V25, P56, DOI 10.1016/j.mib.2015.04.004
Fenchel T, 2008, BIOL REV, V83, P553, DOI 10.1111/j.1469-185X.2008.00054.x
Foster RA, 2011, ISME J, V5, P1484, DOI 10.1038/ismej.2011.26
Friedman J, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002687
Fuhrman JA, 2003, BIOL BULL-US, V204, P192, DOI 10.2307/1543557
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gunderson T, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/s12859-014-0371-5
HEANEY SI, 1980, J ECOL, V68, P75, DOI 10.2307/2259245
Ho YY, 2011, BIOMETRICS, V67, P133, DOI 10.1111/j.1541-0420.2010.01440.x
Li KC, 2002, P NATL ACAD SCI USA, V99, P16875, DOI 10.1073/pnas.252466999
Moore LR, 2013, P NATL ACAD SCI USA, V110, P8323, DOI 10.1073/pnas.1305998110
Morris JT, 2002, ECOLOGY, V83, P2869, DOI 10.1890/0012-9658(2002)083[2869:ROCWTR]2.0.CO;2
Muyzer G., 2016, The Marine Microbiome, P335
Narisawa N, 2008, APPL ENVIRON MICROB, V74, P3887, DOI 10.1128/AEM.02497-07
Ovreas L, 1997, APPL ENVIRON MICROB, V63, P3367
Pernthaler J, 1997, APPL ENVIRON MICROB, V63, P596, DOI 10.1128/AEM.63.2.596-601.1997
Remigi P, 2016, TRENDS MICROBIOL, V24, P63, DOI 10.1016/j.tim.2015.10.007
Ruan QS, 2006, BIOINFORMATICS, V22, P2532, DOI 10.1093/bioinformatics/btl417
Schulz-Bohm K, 2017, ISME J, V11, P817, DOI 10.1038/ismej.2016.144
Schwalbach MS, 2004, AQUAT MICROB ECOL, V34, P117, DOI 10.3354/ame034117
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Stoecker DK, 2017, ANNU REV MAR SCI, V9, P311, DOI 10.1146/annurev-marine-010816-060617
Storey JD, 2003, P NATL ACAD SCI USA, V100, P9440, DOI 10.1073/pnas.1530509100
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
VINCENT WF, 1984, J PHYCOL, V20, P201, DOI 10.1111/j.0022-3646.1984.00201.x
Wang L, 2017, BIOINFORMATICS, V33, P2140, DOI 10.1093/bioinformatics/btx138
Weiss S, 2016, ISME J, V10, P1669, DOI 10.1038/ismej.2015.235
Widder S, 2016, ISME J, V10, P2557, DOI 10.1038/ismej.2016.45
Xia LC, 2015, BMC BIOINFORMATICS, V16, DOI 10.1186/s12859-015-0732-8
Xia LC, 2013, BIOINFORMATICS, V29, P230, DOI 10.1093/bioinformatics/bts668
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
Zehr JP, 2011, TRENDS MICROBIOL, V19, P162, DOI 10.1016/j.tim.2010.12.004
Zhang SW, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00202
NR 52
TC 11
Z9 11
PD APR 4
PY 2019
VL 20
SU 2
AR 185
DI 10.1186/s12864-019-5469-8
UT WOS:000464120900003
DA 2025-07-30
ER
PT J
AU Haro-Moreno, JM
López-Pérez, M
de la Torre, JR
Picazo, A
Camacho, A
Rodriguez-Valera, F
AF Haro-Moreno, Jose M.
Lopez-Perez, Mario
de la Torre, Jose R.
Picazo, Antonio
Camacho, Antonio
Rodriguez-Valera, Francisco
TI Fine metagenomic profile of the Mediterranean stratified and mixed water
columns revealed by assembly and recruitment
SO MICROBIOME
DT Article
AB Background: The photic zone of aquatic habitats is subjected to strong physicochemical gradients. To analyze the fine-scale variations in the marine microbiome, we collected seven samples from a single offshore location in the Mediterranean at 15 m depth intervals during a period of strong stratification, as well as two more samples during the winter when the photic water column was mixed. We were able to recover 94 new metagenome-assembled genomes (MAGs) from these metagenomes and examine the distribution of key marine microbes within the photic zone using metagenomic recruitment.
Results: Our results showed significant differences in the microbial composition of different layers within the stratified photic water column. The majority of microorganisms were confined to discreet horizontal layers of no more than 30 m (stenobathic). Only a few such as members of the SAR11 clade appeared at all depths (eurybathic). During the winter mixing period, only some groups of bloomers such as Pseudomonas were favored. Although most microbes appeared in both seasons, some groups like the SAR116 clade and some Bacteroidetes and Verrucomicrobia seemed to disappear during the mixing period. Furthermore, we found that some microbes previously considered seasonal (e.g., Archaea or Actinobacteria) were living in deeper layers within the photic zone during the stratification period. A strong depth-related specialization was detected, not only at the taxonomic level but also at the functional level, even within the different clades, for the manipulation and uptake of specific polysaccharides. Rhodopsin sequences (green or blue) also showed narrow depth distributions that correlated with the taxonomy of the microbe in which they were found but not with depth.
Conclusions: Although limited to a single location in the Mediterranean, this study has profound implications for our understanding of how marine microbial communities vary with depth within the photic zone when stratified. Our results highlight the importance of collecting samples at different depths in the water column when comparing seasonal variations and have important ramifications for global marine studies that most often take samples from only one single depth. Furthermore, our perspective and approaches (metagenomic assembly and recruitment) are broadly applicable to other metagenomic studies.
C1 [Haro-Moreno, Jose M.; Lopez-Perez, Mario; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Evolutionary Genom Grp, Div Microbiol, Apartado 18, Alicante 03550, Spain.
[de la Torre, Jose R.] San Francisco State Univ, Dept Biol, San Francisco, CA 94132 USA.
[Picazo, Antonio; Camacho, Antonio] Univ Valencia, Cavanilles Inst Biodivers & Evolutionary Biol, E-46100 Valencia, Spain.
RP Rodriguez-Valera, F (corresponding author), Univ Miguel Hernandez, Evolutionary Genom Grp, Div Microbiol, Apartado 18, Alicante 03550, Spain.
EM frvalera@umh.es
CR Albertsen M, 2013, NAT BIOTECHNOL, V31, P533, DOI 10.1038/nbt.2579
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], 2005, Standard methods for the examination of water and waste- water
Arnosti C., 2014, Adv Oceanogr, V2014, P1, DOI [10.1155/2014/706082, DOI 10.1155/2014/706082]
Baltar F, 2009, ENVIRON MICROBIOL, V11, P1998, DOI 10.1111/j.1462-2920.2009.01922.x
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Barnum TP, 2018, ISME J, V12, P1568, DOI 10.1038/s41396-018-0081-5
Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Boeuf D, 2015, DATABASE-OXFORD, DOI 10.1093/database/bav080
Bolhuis H, 2014, FEMS MICROBIOL ECOL, V90, P335, DOI 10.1111/1574-6941.12408
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Cabello-Yeves PJ, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02132-17
Cabello-Yeves PJ, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02131
Christaki U, 2011, BIOGEOSCIENCES, V8, P1839, DOI 10.5194/bg-8-1839-2011
Cole JR, 2014, NUCLEIC ACIDS RES, V42, pD633, DOI 10.1093/nar/gkt1244
Muñoz-Marín MD, 2013, P NATL ACAD SCI USA, V110, P8597, DOI 10.1073/pnas.1221775110
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Denaro G, 2013, ECOL COMPLEX, V13, P21, DOI 10.1016/j.ecocom.2012.10.002
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eddy S R, 1995, Proc Int Conf Intell Syst Mol Biol, V3, P114
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Estrada M, 2004, FEMS MICROBIOL ECOL, V49, P281, DOI 10.1016/j.femsec.2004.04.002
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Ferreira AJS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0097338
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Galand PE, 2010, LIMNOL OCEANOGR, V55, P2117, DOI 10.4319/lo.2010.55.5.2117
Garczarek L, 2007, FEMS MICROBIOL ECOL, V60, P189, DOI 10.1111/j.1574-6941.2007.00297.x
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghai R, 2010, ISME J, V4, P1154, DOI 10.1038/ismej.2010.44
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gonzaga A, 2012, GENOME BIOL EVOL, V4, P1360, DOI 10.1093/gbe/evs112
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Gushchin I, 2013, P NATL ACAD SCI USA, V110, P12631, DOI 10.1073/pnas.1221629110
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Haro-Moreno JM, 2017, ISME J, V11, P1102, DOI 10.1038/ismej.2016.188
Hou SW, 2018, ISME J, V12, P981, DOI 10.1038/s41396-017-0034-4
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kaiser K, 2008, LIMNOL OCEANOGR, V53, P99, DOI 10.4319/lo.2008.53.1.0099
Kamke J, 2013, ISME J, V7, P2287, DOI 10.1038/ismej.2013.111
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Konstantinidis KT, 2009, APPL ENVIRON MICROB, V75, P5345, DOI 10.1128/AEM.00473-09
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Lassmann T, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-298
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
Letelier RM, 2004, LIMNOL OCEANOGR, V49, P508, DOI 10.4319/lo.2004.49.2.0508
Li H, 2009, BIOINFORMATICS, V25, P1754, DOI [10.1093/bioinformatics/btp352, 10.1093/bioinformatics/btp324, 10.1093/bioinformatics/btp698]
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
López-Pérez M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00996
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Luo HW, 2015, MOL BIOL EVOL, V32, P2738, DOI 10.1093/molbev/msv149
Macias D, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24965-0
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Martin-Cuadrado AB, 2008, ISME J, V2, P865, DOI 10.1038/ismej.2008.40
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Mella-Flores D, 2011, BIOGEOSCIENCES, V8, P2785, DOI 10.5194/bg-8-2785-2011
Merbt SN, 2012, FEMS MICROBIOL LETT, V327, P41, DOI 10.1111/j.1574-6968.2011.02457.x
Miller D, 2018, AQUAT MICROB ECOL, V80, P223, DOI 10.3354/ame01854
Miller DR, 2017, MAR GENOM, V32, P23, DOI 10.1016/j.margen.2016.12.001
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nawrocki E. P., 2009, THESIS, P256, DOI [DOI 10.7936/K78050MP, 10.7936/K78050MP]
Olson DK, 2018, ISME J, V12, P1047, DOI 10.1038/s41396-018-0074-4
Overbeek R, 2005, NUCLEIC ACIDS RES, V33, P5691, DOI 10.1093/nar/gki866
Painter TJ., 1983, POLYSACCHARIDES, P196
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Picazo A, 2013, LIMNETICA, V32, P139
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Scalan DJ, 2002, FEMS MICROBIOL ECOL, V40, P1
Schauer K, 2008, TRENDS BIOCHEM SCI, V33, P330, DOI 10.1016/j.tibs.2008.04.012
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Shade A, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00417
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Wolfe-Simon F, 2005, J PHYCOL, V41, P453, DOI 10.1111/j.1529-8817.2005.00086.x
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Yelton AP, 2016, ISME J, V10, P2946, DOI 10.1038/ismej.2016.64
Yin YB, 2012, NUCLEIC ACIDS RES, V40, pW445, DOI 10.1093/nar/gks479
Ziegler C, 2010, MOL MICROBIOL, V78, P13, DOI 10.1111/j.1365-2958.2010.07332.x
Zubkov MV, 2004, FEMS MICROBIOL ECOL, V50, P153, DOI 10.1016/j.femsec.2004.06.009
NR 111
TC 66
Z9 72
PD JUL 10
PY 2018
VL 6
AR 128
DI 10.1186/s40168-018-0513-5
UT WOS:000438419000001
DA 2025-07-30
ER
PT J
AU Delpech, LM
Vonnahme, TR
McGovern, M
Gradinger, R
Præbel, K
Poste, AE
AF Delpech, Lisa-Marie
Vonnahme, Tobias R.
McGovern, Maeve
Gradinger, Rolf
Praebel, Kim
Poste, Amanda E.
TI Terrestrial Inputs Shape Coastal Bacterial and Archaeal Communities in a
High Arctic Fjord (Isfjorden, Svalbard)
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB The Arctic is experiencing dramatic changes including increases in precipitation, glacial melt, and permafrost thaw, resulting in increasing freshwater runoff to coastal waters. During the melt season, terrestrial runoff delivers carbon- and nutrient-rich freshwater to Arctic coastal waters, with unknown consequences for the microbial communities that play a key role in determining the cycling and fate of terrestrial matter at the land-ocean interface. To determine the impacts of runoff on coastal microbial (bacteria and archaea) communities, we investigated changes in pelagic microbial community structure between the early (June) and late (August) melt season in 2018 in the Isfjorden system (Svalbard). Amplicon sequences of the 16S rRNA gene were generated from water column, river and sediment samples collected in Isfjorden along fjord transects from shallow river estuaries and glacier fronts to the outer fjord. Community shifts were investigated in relation to environmental gradients, and compared to river and marine sediment microbial communities. We identified strong temporal and spatial reorganizations in the structure and composition of microbial communities during the summer months in relation to environmental conditions. Microbial diversity patterns highlighted a reorganization from rich communities in June toward more even and less rich communities in August. In June, waters enriched in dissolved organic carbon (DOC) provided a niche for copiotrophic taxa including Sulfitobacter and Octadecabacter. In August, lower DOC concentrations and Atlantic water inflow coincided with a shift toward more cosmopolitan taxa usually associated with summer stratified periods (e.g., SAR11 Clade Ia), and prevalent oligotrophic marine clades (OM60, SAR92). Higher riverine inputs of dissolved inorganic nutrients and suspended particulate matter also contributed to spatial reorganizations of communities in August. Sentinel taxa of this late summer fjord environment included taxa from the class Verrucomicrobiae (Roseibacillus, Luteolibacter), potentially indicative of a higher fraction of particle-attached bacteria. This study highlights the ecological relevance of terrestrial runoff for Arctic coastal microbial communities and how its impacts on biogeochemical conditions may make these communities susceptible to climate change.
C1 [Delpech, Lisa-Marie] Univ Lyon, Ecole Normale Super Lyon, Dept Biol, Lyon, France.
[Delpech, Lisa-Marie; Vonnahme, Tobias R.; McGovern, Maeve; Gradinger, Rolf] UiT Arctic Univ Norway, Dept Arctic & Marine Biol, Tromso, Norway.
[Delpech, Lisa-Marie; Poste, Amanda E.] Norwegian Inst Water Res NIVA, Tromso, Norway.
[Praebel, Kim] UiT Arctic Univ Norway, Norwegian Coll Fishery Sci, Tromso, Norway.
RP Delpech, LM (corresponding author), Univ Lyon, Ecole Normale Super Lyon, Dept Biol, Lyon, France.; Delpech, LM; Vonnahme, TR (corresponding author), UiT Arctic Univ Norway, Dept Arctic & Marine Biol, Tromso, Norway.; Delpech, LM (corresponding author), Norwegian Inst Water Res NIVA, Tromso, Norway.
EM lisa-marie.delpech@ens-lyon.fr; tobias.vonnahme@uit.no
CR Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
ANDERSON M. J., 2017, Wiley StatsRef Stat. Ref. Online, P1, DOI [10.1002/9781118445112.stat07841, DOI 10.1002/9781118445112.STAT07841]
Andriyas T, 2012, J GEOPHYS RES-SPACE, V117, DOI 10.1029/2011JA017018
[Anonymous], 2019, FASTQC QUALITY CONTR
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Asshauer KP, 2015, BIOINFORMATICS, V31, P2882, DOI 10.1093/bioinformatics/btv287
Bakenhus I, 2018, ENVIRON MICROBIOL, V20, P3100, DOI 10.1111/1462-2920.14383
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Bhatt US, 2014, ANNU REV ENV RESOUR, V39, P57, DOI 10.1146/annurev-environ-122012-094357
Bianchi TS, 2020, EARTH-SCI REV, V203, DOI 10.1016/j.earscirev.2020.103145
Bianchi TS, 2018, ORG GEOCHEM, V115, P138, DOI 10.1016/j.orggeochem.2017.09.008
Bintanja R, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aax6869
Bintanja R, 2014, NATURE, V509, P479, DOI 10.1038/nature13259
Blanchet FG, 2008, ECOLOGY, V89, P2623, DOI 10.1890/07-0986.1
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bourgeois S, 2016, J MARINE SYST, V164, P112, DOI 10.1016/j.jmarsys.2016.08.009
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Cardman Z, 2014, APPL ENVIRON MICROB, V80, P3749, DOI 10.1128/AEM.00899-14
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cavicchioli R, 2019, NAT REV MICROBIOL, V17, P569, DOI 10.1038/s41579-019-0222-5
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
CHAO A, 1984, SCAND J STAT, V11, P265
CHAO A, 1992, J AM STAT ASSOC, V87, P210, DOI 10.2307/2290471
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Comeau AM, 2012, SCI REP-UK, V2, DOI 10.1038/srep00604
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Dai TH, 2012, FRONT MICROBIOL, V3, DOI [10.3389/fmicb.2012.00120, 10.3389/fmicb.2012.00417]
De Cáceres M, 2009, ECOLOGY, V90, P3566, DOI 10.1890/08-1823.1
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Delpech L.-M., 2020, R BASH SCRIPTS SEQUE
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Eiler A, 2009, ENVIRON MICROBIOL, V11, P2291, DOI 10.1111/j.1462-2920.2009.01954.x
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Farnelid H, 2019, ISME J, V13, P170, DOI 10.1038/s41396-018-0259-x
Fellman JB, 2010, MAR CHEM, V121, P112, DOI 10.1016/j.marchem.2010.03.009
Feng XJ, 2013, P NATL ACAD SCI USA, V110, P14168, DOI 10.1073/pnas.1307031110
Fernandes AD, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0067019
Ferrera I, 2015, CURR OPIN MICROBIOL, V25, P33, DOI 10.1016/j.mib.2015.03.007
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Fritz M, 2017, NAT CLIM CHANGE, V7, P6, DOI 10.1038/nclimate3188
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
García-Descalzo L, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00055
Garcia-Lopez E, 2019, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00512
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Gobet A, 2012, ISME J, V6, P542, DOI 10.1038/ismej.2011.132
Gosink JJ, 1997, SYST APPL MICROBIOL, V20, P356, DOI 10.1016/S0723-2020(97)80003-3
Han D, 2015, DEEP-SEA RES PT II, V120, P52, DOI 10.1016/j.dsr2.2015.01.018
Harrell F.E.., 2020, HMISC PACKAGE MISCEL
Hassenruck C, 2020, SCRIPTS BIOINFORMATI
Hassenruck C, 2019, R BASH SCRIPTS SEQUE
Hassett BT, 2019, ISME J, V13, P1484, DOI 10.1038/s41396-019-0368-1
Hauptmann AL, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01474
Holmes R. M, 2013, CLIMATIC CHANGES GLO, P1, DOI DOI 10.1002/9781118470596.CH1
Jain A, 2020, MAR ENVIRON RES, V155, DOI 10.1016/j.marenvres.2020.104874
Jain A, 2019, ECOL INDIC, V102, P581, DOI 10.1016/j.ecolind.2019.03.015
Jain A, 2017, J BASIC MICROB, V57, P827, DOI 10.1002/jobm.201700216
Jeffries MO, 2013, PHYS TODAY, V66, P35, DOI 10.1063/PT.3.2147
Jousset A, 2017, ISME J, V11, P853, DOI 10.1038/ismej.2016.174
Kellogg CTE, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02628
Kim BR, 2017, J MICROBIOL BIOTECHN, V27, P2089, DOI 10.4014/jmb.1709.09027
Kim GH, 2008, J ENVIRON BIOL, V29, P485
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kirchman DL, 2005, DEEP-SEA RES PT II, V52, P3386, DOI 10.1016/j.dsr2.2005.09.005
Komárek J, 2012, POL POLAR RES, V33, P347, DOI 10.2478/v10183-012-0024-1
Kubota K, 2013, MICROBES ENVIRON, V28, P3, DOI 10.1264/jsme2.ME12107
Laroche O, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy167
Lee J, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-53427-4
Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Mahé F, 2015, PEERJ, V3, DOI 10.7717/peerj.1420
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Manna V, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01242
Marquardt M, 2016, APPL ENVIRON MICROB, V82, P1868, DOI 10.1128/AEM.03208-15
Martin M., 2011, EMBnet J, V17, P10
McClelland JW, 2012, ESTUAR COAST, V35, P353, DOI 10.1007/s12237-010-9357-3
McGovern M, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.542563
Milner AM, 2017, P NATL ACAD SCI USA, V114, P9770, DOI 10.1073/pnas.1619807114
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Müller O, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00263
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Nilsen F, 2008, CONT SHELF RES, V28, P1838, DOI 10.1016/j.csr.2008.04.015
Oksanen, 2022, VEGAN COMMUNITY ECOL
Osborne E., 2018, ARCTIC REPORT CARD 2
Park SJ, 2011, MICROB ECOL, V62, P537, DOI 10.1007/s00248-011-9860-5
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2020, R LANG ENV STAT COMP
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Serreze MC, 2011, GLOBAL PLANET CHANGE, V77, P85, DOI 10.1016/j.gloplacha.2011.03.004
Shiklomanov I.A., 2003, Water Resources, V30, P593, DOI 10.1023/B:WARE.0000007584.73692.ca
Sipler RE, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01018
Skardhamar J, 2010, GEOL SOC SPEC PUBL, V344, P51, DOI 10.1144/SP344.5
Skogseth R, 2020, PROG OCEANOGR, V187, DOI 10.1016/j.pocean.2020.102394
SOROKIN DY, 1995, MICROBIOLOGY+, V64, P295
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teske A, 2011, APPL ENVIRON MICROB, V77, P2008, DOI 10.1128/AEM.01507-10
Thomas FA, 2020, SCI TOTAL ENVIRON, V718, DOI 10.1016/j.scitotenv.2019.135264
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Underwood GJC, 2019, NAT CLIM CHANGE, V9, P170, DOI 10.1038/s41558-018-0391-7
Van Bergen APL, 2019, EUR J PUBLIC HEALTH, V29, P575, DOI 10.1093/eurpub/cky143
Vaqué D, 2008, LIMNOL OCEANOGR, V53, P2427, DOI 10.4319/lo.2008.53.6.2427
Venturini N, 2020, POLAR SCI, V26, DOI 10.1016/j.polar.2020.100603
Vihtakari M., 2019, PLOTSVALBARD PLOTSVA
Vincent WF, 2010, ISME J, V4, P1089, DOI 10.1038/ismej.2010.108
Vonnahme TR, 2016, BIOGEOSCIENCES, V13, P659, DOI 10.5194/bg-13-659-2016
Walden C, 2017, J MICROBIOL METH, V141, P10, DOI 10.1016/j.mimet.2017.07.007
WALKER BH, 1992, CONSERV BIOL, V6, P18, DOI 10.1046/j.1523-1739.1992.610018.x
Wangensteen OS, 2018, PEERJ, V6, DOI 10.7717/peerj.4705
Wear EK, 2018, ENVIRON MICROBIOL, V20, P2709, DOI 10.1111/1462-2920.14091
Weishaar JL, 2003, ENVIRON SCI TECHNOL, V37, P4702, DOI 10.1021/es030360x
Wickham H., 2016, ggplot2: Elegant Graphics for Data Analysis
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Zehr JP, 2020, SCIENCE, V368, P729, DOI 10.1126/science.aay9514
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zorz J, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00281
NR 121
TC 23
Z9 23
PD FEB 26
PY 2021
VL 12
AR 614634
DI 10.3389/fmicb.2021.614634
UT WOS:000627768400001
DA 2025-07-30
ER
PT J
AU Mucko, M
Bosak, S
Casotti, R
Balestra, C
Ljubesic, Z
AF Mucko, Maja
Bosak, Suncica
Casotti, Raffaella
Balestra, Cecilia
Ljubesic, Zrinka
TI Winter picoplankton diversity in an oligotrophic marginal sea
SO MARINE GENOMICS
DT Article
AB Marine picoplankton, unicellular organisms with cell sizes up to 3 mu m in diameter, numerically dominate marine ecosystems, encompassing Archaea, Bacteria, Eukarya (protists and fungi) as well as viruses. Autotrophic and heterotrophic picoplankton abundance and community composition with a focus on picoeukaryotes (PEs) were investigated in the winter of 2016 at three stations along a coast-to-offshore transect in the southern Adriatic Sea. Abundances were estimated by flow cytometry, while community composition by Illumina High Throughput Sequencing (HTS) of 16S and 18S rRNA genes. The photosynthetic picoplankton diversity was also investigated by High-Performance Liquid Chromatography (HPLC) of liposoluble pigments. Heterotrophic bacteria and cyanobacteria (Prochlorococcus and Synechococcus) accounted for up to 7 x 10(5); 2.3 x 10(4) and 2.5 x 10(4) cells mL(-1), respectively, while photosynthetic picoeukaryotes peaked with 3 x 10(3) cells mL(-1). Prokaryotes, as revealed by HTS were dominated by Aiphaproteobacteria (mainly SAR11, 44.91% of total 16S sequence reads), followed by Gammaproteobacteria (Oceanospirillales and Pseudomonadales, 14.96%), Bacteroidetes (mainly Flavobacteriales, 13%), Cyanobacteria (Prochlorococcus and Synechococcus, 9.52%), Marinimicrobia (SAR406, 7.97%), Deltaproteobacteria (SAR324, 3.83%), Actinobacteria (2.24%) and Chloroflezi (SAR202, 1.90%). Photosynthetic pigment concentrations were very low (12.12 mu gL(-1) at the most) and taxonomic pigments could be attributed to Prochlorococcus, Synechococcus, Prymnesiophyceae, Bacillariophyceae, Chrysophyceae, and Prasinophyceae. HTS data revealed that PEs were dominated by heterotrophs, such as Syndiniophyceae, parasitic dinoflagellates (79.67% of total 18S sequence reads), Dinophyceae (8.7%) and the radiolarians Collodaria belonging to Sphaerozoidae (22.1%) and Spumellaria (5.0%). On the other hand, photoautotrophs, including Chlorophyta (Mamiellophyceae, Prasinophyceae, Trebouxiophyceae, and Ulvophyceae), Stramenopiles (Bacillariophyta, Chrysophyceae, Dictyochophyceae, Pelagophyceae), photoautotrophic Cryptophyta and some Haptophyta (Prymnesiophyceae), did not exceed 5% of total sequence reads. This study provides the first snapshot of the PEs diversity in oligotrophic euphotic waters of the southern Adriatic Sea, hence setting the stage for large-scale surveying and characterization of the eukaryotic diversity in the entire basin.
C1 [Mucko, Maja; Bosak, Suncica; Ljubesic, Zrinka] Univ Zagreb, Fac Sci, Dept Biol, Rooseveltov Trg 6, Zagreb 10000, Croatia.
[Casotti, Raffaella; Balestra, Cecilia] Dept Integrat Marine Ecol, Stn Zool Anton Dohrn, I-80121 Naples, Italy.
RP Ljubesic, Z (corresponding author), Univ Zagreb, Fac Sci, Dept Biol, Rooseveltov Trg 6, Zagreb 10000, Croatia.
EM zrinka.ljubesic@biol.pmf.hr
CR Acosta Francisco, 2013, Aquatic Biosystems, V9, P16, DOI 10.1186/2046-9063-9-16
Adl SM, 2005, J EUKARYOT MICROBIOL, V52, P399, DOI 10.1111/j.1550-7408.2005.00053.x
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
Anderson O.R., 1983, Radiolaria
[Anonymous], ENV MICROBIOL
[Anonymous], ENV MICROBIOL
[Anonymous], BIOGEOSCIENCES
[Anonymous], 2007, COMMUNITY ECOLOGY PA
Babic I, 2018, J MARINE SYST, V184, P15, DOI 10.1016/j.jmarsys.2018.04.002
Balestra C, 2011, AQUAT MICROB ECOL, V63, P123, DOI 10.3354/ame01486
Biard T, 2017, ISME J, V11, P1331, DOI 10.1038/ismej.2017.12
Biegala IC, 2003, APPL ENVIRON MICROB, V69, P5519, DOI 10.1128/AEM.69.9.5519-5529.2003
Bork P, 2015, SCIENCE, V348, P873, DOI 10.1126/science.aac5605
Bouman HA, 2011, ENV MICROBIOL REP, V3, P473, DOI 10.1111/j.1758-2229.2011.00241.x
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Caron DA, 1999, LIMNOL OCEANOGR, V44, P259, DOI 10.4319/lo.1999.44.2.0259
Casotti R, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001541
Cerino F, 2012, CONT SHELF RES, V44, P94, DOI 10.1016/j.csr.2011.06.006
Cheung MK, 2010, ISME J, V4, P1053, DOI 10.1038/ismej.2010.26
CHISHOLM SW, 1992, ARCH MICROBIOL, V157, P297, DOI 10.1007/BF00245165
Claustre H, 2004, MAR CHEM, V85, P41, DOI 10.1016/j.marchem.2003.09.002
Claustre H., 2008, BIOGEOSCIENCES, V5, P605
Cullen John J., 2002, P297
Cuvelier ML, 2010, P NATL ACAD SCI USA, V107, P14679, DOI 10.1073/pnas.1001665107
de Vargas C, 2015, SCIENCE, V348, DOI 10.1126/science.1261605
Díez B, 2001, APPL ENVIRON MICROB, V67, P2942, DOI 10.1128/AEM.67.7.2942-2951.2001
Duarte C.M., 2015, LIMNOLOGY OCEANOGRAP, V24, P11, DOI DOI 10.1002/LOB.10008
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Estrada M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0151699
Feingersch R, 2010, ISME J, V4, P78, DOI 10.1038/ismej.2009.92
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuller NJ, 2006, LIMNOL OCEANOGR, V51, P2502, DOI 10.4319/lo.2006.51.6.2502
Gacic M., 2001, Physical oceanography of the Adriatic Sea: past Present and Future, P111
Glibert PM, 2016, HARMFUL ALGAE, V55, P25, DOI 10.1016/j.hal.2016.01.008
Grob C, 2007, BIOGEOSCIENCES, V4, P837, DOI 10.5194/bg-4-837-2007
Guillou L, 2008, ENVIRON MICROBIOL, V10, P3349, DOI 10.1111/j.1462-2920.2008.01731.x
Guillou L, 2004, PROTIST, V155, P193, DOI 10.1078/143446104774199592
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Ignatiades L, 2002, J MARINE SYST, V36, P11, DOI 10.1016/S0924-7963(02)00132-X
Jardillier L, 2005, MICROB ECOL, V50, P557, DOI 10.1007/s00248-005-5030-y
Jardillier L, 2010, ISME J, V4, P1180, DOI 10.1038/ismej.2010.36
Kebschull JM, 2015, NUCLEIC ACIDS RES, V43, DOI 10.1093/nar/gkv717
Keeling PJ, 2017, CURR BIOL, V27, pR541, DOI 10.1016/j.cub.2017.03.075
Korlevic M, 2015, APPL ENVIRON MICROB, V81, P1715, DOI 10.1128/AEM.03410-14
Lepère C, 2009, ENVIRON MICROBIOL, V11, P3105, DOI 10.1111/j.1462-2920.2009.02015.x
Li WKW, 2009, SCIENCE, V326, P539, DOI 10.1126/science.1179798
LI WKW, 1994, LIMNOL OCEANOGR, V39, P169, DOI 10.4319/lo.1994.39.1.0169
Lin YC, 2017, CONT SHELF RES, V143, P91, DOI 10.1016/j.csr.2017.04.009
Man-Aharonovich D, 2010, ISME J, V4, P1044, DOI 10.1038/ismej.2010.25
MARGALEF R, 1978, OCEANOL ACTA, V1, P493
Massana R, 2004, APPL ENVIRON MICROB, V70, P3528, DOI 10.1128/AEM.70.6.3528-3534.2004
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Massana R, 2008, CURR OPIN MICROBIOL, V11, P213, DOI 10.1016/j.mib.2008.04.004
Massana R, 2015, ENVIRON MICROBIOL, V17, P4035, DOI 10.1111/1462-2920.12955
Moon-van der Staay SY, 2001, NATURE, V409, P607, DOI 10.1038/35054541
Moreira D, 2007, MOL PHYLOGENET EVOL, V44, P255, DOI 10.1016/j.ympev.2006.11.001
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Najdek M, 2014, BIOGEOSCIENCES, V11, P2645, DOI 10.5194/bg-11-2645-2014
Nikolaev SI, 2004, P NATL ACAD SCI USA, V101, P8066, DOI 10.1073/pnas.0308602101
Not F, 2004, APPL ENVIRON MICROB, V70, P4064, DOI 10.1128/AEM.70.7.4064-4072.2004
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Pearman JK, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-06928-z
Pernice MC, 2015, ISME J, V9, P782, DOI 10.1038/ismej.2014.168
Pillet L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032373
Pomeroy LR, 2007, OCEANOGRAPHY, V20, P28, DOI 10.5670/oceanog.2007.45
Poulain PM, 2001, J MARINE SYST, V29, P3, DOI 10.1016/S0924-7963(01)00007-0
Probert I, 2014, J PHYCOL, V50, P388, DOI 10.1111/jpy.12174
Quaiser A, 2011, ISME J, V5, P285, DOI 10.1038/ismej.2010.113
R Core Team, 2022, R LANG ENV STAT COMP
Romari K, 2004, LIMNOL OCEANOGR, V49, P784, DOI 10.4319/lo.2004.49.3.0784
Roy S, 2011, Phytoplankton Pigments: Characterization, Chemotaxonomy and Applications in Oceanography, V1st ed.
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
SHERR EB, 1994, MICROBIAL ECOL, V28, P223, DOI 10.1007/BF00166812
Shi XL, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007657
Silovic T, 2011, ESTUAR COAST SHELF S, V91, P519, DOI 10.1016/j.ecss.2010.12.012
Silovic T, 2018, CONT SHELF RES, V155, P21, DOI 10.1016/j.csr.2018.01.007
Siokou-Frangou I, 2010, BIOGEOSCIENCES, V7, P1543, DOI 10.5194/bg-7-1543-2010
Stal LJ., 2016, The Marine Microbiome: An untapped source of biodiversity and biotechnological potential
Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
Suzuki N., 2015, MARINE PROTISTS DIVE, P179, DOI [DOI 10.1007/978-4-431-55130-0_8, 10.1007/978-4-431-55130-08, DOI 10.1007/978-4-431-55130-08]
van den Engh GJ, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00359
Vilicic D, 2011, ENVIRON MONIT ASSESS, V177, P593, DOI 10.1007/s10661-010-1659-1
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Worden A.Z., 2008, Microbial Ecology of the Ocean, P159
Worden AZ, 2006, AQUAT MICROB ECOL, V43, P165, DOI 10.3354/ame043165
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 92
TC 10
Z9 10
PD DEC
PY 2018
VL 42
BP 14
EP 24
DI 10.1016/j.margen.2018.09.002
UT WOS:000454376100002
DA 2025-07-30
ER
PT J
AU Ng, C
Le, TH
Goh, SG
Liang, L
Kim, Y
Rose, JB
Yew-Hoong, KG
AF Ng, Charmaine
Le, Thai-Hoang
Goh, Shin Giek
Liang, Liang
Kim, Yiseul
Rose, Joan B.
Yew-Hoong, Karina Gin
TI A Comparison of Microbial Water Quality and Diversity for Ballast and
Tropical Harbor Waters
SO PLOS ONE
DT Article
AB Indicator organisms and antibiotic resistance were used as a proxy to measure microbial water quality of ballast tanks of ships, and surface waters in a tropical harbor. The survival of marine bacteria in ballast tanks appeared to diminish over longer water retention time, with a reduction of cell viability observed after a week based on heterotrophic plate counts. Pyrosequencing of 16S rRNA genes showed distinct differences in microbial composition of ballast and harbor waters. The harbor waters had a higher abundance of operational taxonomic units (OTUs) assigned to Cyanobacteria (Synechococcus spp.) and alpha-proteobacteria (SAR11 members), while marine hydrocarbon degraders such as gamma-proteobacteria (Ocenspirillaes spp., Thiotrchales spp.) and Bacteroidetes (Flavobacteriales spp.) dominated the ballast water samples. Screening of indicator organisms found Escherichia coli (E. coli), Enterococcus and Pseudomonas aeruginosa (P. aeruginosa) in two or more of the ballast and harbor water samples tested. Vibrio spp. and Salmonella spp. were detected exclusively in harbor water samples. Using quantitative PCR (qPCR), we screened for 13 antibiotic resistant gene (ARG) targets and found higher abundances of sul1 (4.13-3.44 x 102 copies/mL), dfrA (0.77-1.80 x10 copies/mL) and cfr (2.00-5.21 copies/mL) genes compared to the other ARG targets selected for this survey. These genes encode for resistance to sulfonamides, trimethoprim and chloramphenicol-florfenicol antibiotics, which are also known to persist in sediments of aquaculture farms and coastal environments. Among the ARGs screened, we found significant correlations (P<0.05) between ereA, ermG, cfr and tetO genes to one or more of the indicator organisms detected in this study, which may suggest that these members contribute to the environmental resistome. This study provides a baseline water quality survey, quantitatively assessing indicators of antibiotic resistance, potentially pathogenic organisms and a broad-brush description of difference in microbial composition and diversity between open oceans and tropical coastal environments through the use of next generation sequencing technology.
C1 [Ng, Charmaine; Le, Thai-Hoang; Goh, Shin Giek; Liang, Liang; Yew-Hoong, Karina Gin] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117548, Singapore.
[Kim, Yiseul; Rose, Joan B.] Michigan State Univ, Dept Microbiol & Mol Genet, E Lansing, MI 48824 USA.
[Yew-Hoong, Karina Gin] Natl Univ Singapore, Environm Res Inst NERI, Singapore 117548, Singapore.
RP Yew-Hoong, KG (corresponding author), Natl Univ Singapore, Dept Civil & Environm Engn, Singapore 117548, Singapore.
EM ceeginyh@nus.edu.sg
CR Akinbowale OL, 2007, J APPL MICROBIOL, V103, P2016, DOI 10.1111/j.1365-2672.2007.03445.x
Akinbowale OL, 2006, J APPL MICROBIOL, V100, P1103, DOI 10.1111/j.1365-2672.2006.02812.x
Altug G, 2012, MAR ENVIRON RES, V81, P8
[Anonymous], 2012, ANTIMICROBIAL AGENTS, V56
[Anonymous], APPL ENV MICROBIOL
[Anonymous], 2010, AQUAT INVASIONS, V5, P10
[Anonymous], 2008, SCI TOTAL ENVIRON, V405, P8
[Anonymous], ENV MICROBIOLOGY
[Anonymous], 2007, RAP DET BACT ANT RES
[Anonymous], 2014, PLOS ONE
Ausubel F.M., 1992, TRENDS BIOTECHNOL, V10, P456, DOI DOI 10.1016/0167-7799(92)90304-E
Baker-Austin C, 2013, NATURE CLIMATE CHANG, V3, P5
Brasher CW, 1998, CURR MICROBIOL, V37, P101, DOI 10.1007/s002849900346
Brown Kav A, 2012, P NATL ACAD SCI USA, V109, P6
Burkholder JM, 2007, HARMFUL ALGAE, V6, P486, DOI 10.1016/j.hal.2006.11.006
Buschmann AH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042724
Chun J, 1999, APPL ENVIRON MICROB, V65, P7
Clarke K. R., CHANGE MARINE COMMUN
Dahmen S, 2010, MICROB DRUG RESIST, V16, P43, DOI 10.1089/mdr.2009.0091
Di Cesare A, 2012, MICROBIAL DRUG RESIS
Dickinson G, 2013, APPL ENVIRON MICROB, V79, P294, DOI 10.1128/AEM.02674-12
Dowd SE, 2008, BMC MICROBIOL, V8, DOI [10.1186/1471-2180-8-125, 10.1186/1471-2180-8-43]
Drake JM, 2004, GLOCAL HOT SPOTS BIO, V271, P6
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Gao P, 2012, WATER RES, V46, P10
HALLEGRAEFF GM, 1988, J PLANKTON RES, V10, P533, DOI 10.1093/plankt/10.3.533
Joachimsthal EL, 2004, MAR POLLUT BULL, V49, P334, DOI 10.1016/j.marpolbul.2004.02.036
Joachimsthal EL, 2003, WORLD J MICROB BIOT, V19, P7
Joachimsthal EL, 2002, P 2 INT C MAR WAST W
Joachimsthal EL, 2004, MARINE POLLUTION B, V49, P10
Kim SR, 2004, FEMS MICROBIOL LETT, V237, P147, DOI 10.1016/j.femsle.2004.06.026
Knapp CW, 2010, ENVIRON POLLUT, V158, P1506, DOI 10.1016/j.envpol.2009.12.020
Knight I, 1999, GEN M AM SOC MICR AM
Koike S, 2010, MICROB ECOL, V59, P12
Landini P., 2009, RES MICROBIOL, V160, P8
Lee D-Y, 2006, J MICROBIOLOGICAL ME, V65, P15
Lee JC, 2001, J ANTIMICROB CHEMOTH, V47, P6
McCarthy SA, 1994, APPL ENVIRON MICROB, V60, P5
McMinn A, 1997, MARINE ECOLOGY PROGR, V161, P8
Mimura H, 2005, MARINE POLLUTION B, V50, P7
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Panicker G, 2004, APPL ENVIRON MICROB, V70, P9
Pruden A, 2006, ENVIRON SCI TECHNOL, P6
Redmond MC, 2010, APPL ENVIRON MICROB, V76, P11
Ruiz GM, 2000, NATURE, V408, P49, DOI 10.1038/35040695
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P5
Sekiguchi Y, 2003, INT J SYST EVOL MICR, V153, P8
Singapore Ministry of the Environment, 2000, ANN REP 1963
Smith MS, 2004, APPL ENVIRON MICROB, V70, P7372, DOI 10.1128/AEM.70.12.7372-7377.2004
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Tamminen M, 2011, ENVIRON SCI TECHNOL, V45, P6
Le TH, 2014, J MICROBIOL METH, V106, P135, DOI 10.1016/j.mimet.2014.08.010
Thomson FK, 2003, P 3 INT C MAR BIOINV
Tomaru A., 2014, PLOS ONE, V9
Tripp HJ, 2013, ANTIMICROBIAL AGENTS, V51, P5
Untergasser A, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gks596
Vezzulli L, 2009, MICROB ECOL, V58, P11
Ye L, 2012, APPL MICROBIOL BIOT, V97, P9
Zhu YG, 2013, P NATL ACAD SCI USA, V110, P3435, DOI 10.1073/pnas.1222743110
NR 60
TC 46
Z9 52
PD NOV 17
PY 2015
VL 10
IS 11
AR e0143123
DI 10.1371/journal.pone.0143123
UT WOS:000365153400043
DA 2025-07-30
ER
PT J
AU Vila-Costa, M
Gasol, JM
Sharma, S
Moran, MA
AF Vila-Costa, Maria
Gasol, Josep M.
Sharma, Shalabh
Moran, Mary Ann
TI Community analysis of high- and low-nucleic acid-containing bacteria in
NW Mediterranean coastal waters using 16S rDNA pyrosequencing
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The ecological significance of the marine bacterial populations distinguishable by flow cytometry on the basis of the fluorescence (FL) of their nucleic acid (NA) content and proxies of cell size (such as side scatter, SSC) remains largely unknown. Some studies have suggested that cells with high NA (HNA) content and high SSC (HS) represent the active members of the community, while the low NA (LNA) cells are inactive members of the same phylogenetic groups. But group-specific activity measurements and phylogenetic assignment after cell sorting have suggested this is not be the case, particularly in open-ocean communities. To test the extent to which the different NA subgroups are similar, and consequently the extent to which they likely have similar ecological and biogeochemical roles in the environment, we analysed the phylogenetic composition of three populations after cell sorting [high NA-high SC (HNA-HS), high NA-low SC (HNA-LS), low NA (LNA)] by 454 pyrosequencing in two contrasting periods of the year in NW Mediterranean coastal waters (BBMO, Blanes Bay Microbial Observatory) where these three populations have recurrent seasonal patterns. Statistical analyses showed that summer and winter samples were significantly different and, importantly, the sorted populations within a sample were composed of different taxa. The majority of taxa were associated with one NA fraction only, and the degree of overlap (i.e. OTUs present simultaneously in 2 fractions) between HNA and LNA and between summer and winter communities was very small. Rhodobacterales, SAR116 and Bacteroidetes contributed primarily to the HNA fraction, whereas other groups such as SAR11 and SAR86 contributed largely to the LNA fractions. Gammaproteobacteria other than SAR86 showed less preference for one particular NA fraction. An increase in diversity was observed from the LNA to the HNA-HS fraction for both sample dates. Our results suggest that, in Blanes Bay, flow cytometric signatures of natural communities track their phylogenetic composition.
C1 [Vila-Costa, Maria] Ctr Estudis Avancats Blanes CSIC, Grp Limnol, Dept Continental Ecol, Blanes 17300, Catalonia, Spain.
[Vila-Costa, Maria; Sharma, Shalabh; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Gasol, Josep M.] Inst Ciencies Mar CSIC, Barcelona 08003, Catalonia, Spain.
RP Vila-Costa, M (corresponding author), Ctr Estudis Avancats Blanes CSIC, Grp Limnol, Dept Continental Ecol, Acces Cala St Francesc 14, Blanes 17300, Catalonia, Spain.
EM mariavila@ceab.csic.es
CR Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso-Sáez L, 2008, ECOSYSTEMS, V11, P397, DOI 10.1007/s10021-008-9129-0
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, FEMS MICROBIOL ECOL, V60, P98, DOI 10.1111/j.1574-6941.2006.00276.x
BAILEY JE, 1977, SCIENCE, V198, P1175, DOI 10.1126/science.412254
Bernard L, 2000, MICROB ECOL, V40, P148
Bernard L, 2000, AQUAT MICROB ECOL, V23, P1, DOI 10.3354/ame023001
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P2050, DOI 10.1111/j.1462-2920.2007.01321.x
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
delGiorgio P, 1996, LIMNOL OCEANOGR, V41, P783, DOI 10.4319/lo.1996.41.4.0783
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Jellett JF, 1996, MAR ECOL PROG SER, V136, P213, DOI 10.3354/meps136213
Kottmann R, 2010, NUCLEIC ACIDS RES, V38, pD391, DOI 10.1093/nar/gkp918
Kunin V, 2010, ENVIRON MICROBIOL, V12, P118, DOI 10.1111/j.1462-2920.2009.02051.x
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Lebaron P, 2002, AQUAT MICROB ECOL, V28, P131, DOI 10.3354/ame028131
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Li WKW, 1995, LIMNOL OCEANOGR, V40, P1485, DOI 10.4319/lo.1995.40.8.1485
Longnecker K, 2006, AQUAT MICROB ECOL, V43, P113, DOI 10.3354/ame043113
Longnecker K, 2005, APPL ENVIRON MICROB, V71, P7737, DOI 10.1128/AEM.71.12.7737-7749.2005
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Massana R, 2001, LIMNOL OCEANOGR, V46, P1181, DOI 10.4319/lo.2001.46.5.1181
McArdle BH, 2001, ECOLOGY, V82, P290, DOI 10.1890/0012-9658(2001)082[0290:FMMTCD]2.0.CO;2
Morán XAG, 2007, AQUAT MICROB ECOL, V46, P141, DOI 10.3354/ame046141
Morán XAG, 2009, FEMS MICROBIOL ECOL, V67, P43, DOI 10.1111/j.1574-6941.2008.00601.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mou XZ, 2005, APPL ENVIRON MICROB, V71, P1405, DOI 10.1128/AEM.71.3.1405-1416.2005
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Oksanen J., 2010, Vegan: Community ecology package
Pedrós-Alió C, 2007, SCIENCE, V315, P192, DOI 10.1126/science.1135933
Philippot L, 2010, NAT REV MICROBIOL, V8, P523, DOI 10.1038/nrmicro2367
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Quince C, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-38
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
ROBERTSON BR, 1989, CYTOMETRY, V10, P70, DOI 10.1002/cyto.990100112
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Servais P, 2003, AQUAT MICROB ECOL, V33, P41, DOI 10.3354/ame033041
SIERACKI ME, 1992, DEEP-SEA RES, V39, P1919, DOI 10.1016/0198-0149(92)90005-E
Smith VH, 2007, FEMS MICROBIOL ECOL, V62, P181, DOI 10.1111/j.1574-6941.2007.00381.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Talarmin A, 2011, BIOGEOSCIENCES, V8, P253, DOI 10.5194/bg-8-253-2011
Trigui H, 2011, EXTREMOPHILES, V15, P347, DOI 10.1007/s00792-011-0364-5
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
Wang YY, 2009, ISME J, V3, P889, DOI 10.1038/ismej.2009.46
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 2006, AQUAT MICROB ECOL, V43, P23, DOI 10.3354/ame043023
Zubkov MV, 2004, J MAR BIOL ASSOC UK, V84, P519, DOI 10.1017/S002531540400952Xh
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 62
TC 104
Z9 113
PD JUN
PY 2012
VL 14
IS 6
BP 1390
EP 1402
DI 10.1111/j.1462-2920.2012.02720.x
UT WOS:000304866600004
DA 2025-07-30
ER
PT J
AU Yu, J
Wang, S
Lai, JG
Tian, JY
Zhang, HQ
Yang, GP
Chen, R
AF Yu, Juan
Wang, Su
Lai, Jing-Guang
Tian, Ji-Yuan
Zhang, Hao-Quan
Yang, Gui-Peng
Chen, Rong
TI The Effect of Zooplankton on the Distributions of Dimethyl Sulfide and
Dimethylsulfoniopropionate in the Bohai and Yellow Seas
SO JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
DT Article
AB Dimethyl sulfide (DMS) and its precursor dimethylsulfoniopropionate (DMSP) are ubiquitous sulfur compounds in the ocean. DMS is emitted into the atmosphere and has potential climatic effects. The distributions of DMS and DMSP are affected by various biological factors (i.e., bacterial catabolism and phytoplankton and zooplankton community composition). The horizontal and vertical distributions of DMSP, DMSP lyase activity (DLA), DMS, and the abundances of bacteria, DMSP-consuming bacteria, dimethyl sulfoxide-consuming bacteria, and picophytoplankton were investigated in the Bohai Sea (BS) and Yellow Sea (YS) during autumn 2020. DLA was significantly correlated with chlorophyll a, DMS, and dissolved DMSP concentrations. Our data show that bacteria Clade_I SAR11 was a significant contributor to DLA. A dilution experiment indicated that the highest microzooplankton grazing rate coincided with the highest DMS concentration and DMS production rate. A proportion of 16%-62% of the DMSPt was converted to DMS in the dilution experiment. Copepods dominated the mesozooplankton community. Calanus sinicus was the predominant copepod in the BS and YS. C. sinicus grazing stimulated DMS production. DMS concentration increased 299% after C. sinicus grazing on physically broken algal cells for 48 hr. These results will help with a better understanding of the control of DMS and DMSP concentrations by zooplankton and the DMS release mechanisms that occur through zooplankton grazing.Plain Language Summary Dimethylsulfoniopropionate (DMSP) and dimethyl sulfide (DMS) are transferred and transformed in the food web and are affected by zooplankton, phytoplankton, and bacteria. This study investigated spatial distributions of DMS, DMSP, DMSP lyase activity (DLA), the abundances of bacteria, DMSP-consuming bacteria, and dimethyl sulfoxide-consuming bacteria in the surface seawater of the Bohai Sea and Yellow Sea. As results, the distributions of DMS and dissolved DMSP were significantly correlated with DLA. A deck incubation experiment indicated that grazing by microzooplankton promoted the conversion of DMSP to DMS and that mesozooplankton copepod grazing stimulated DMS production. These results provide a more comprehensive way to understand the possible DMS release mechanisms via zooplankton grazing.
C1 [Yu, Juan; Wang, Su; Lai, Jing-Guang; Zhang, Hao-Quan; Yang, Gui-Peng; Chen, Rong] Ocean Univ China, Coll Chem & Chem Engn, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Key Lab Marine Chem Theory & Technol, Qingdao, Peoples R China.
[Yu, Juan; Yang, Gui-Peng] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China.
[Tian, Ji-Yuan] Qingdao Agr Univ, Coll Food Sci & Engn, Qingdao, Peoples R China.
RP Yang, GP (corresponding author), Ocean Univ China, Coll Chem & Chem Engn, Frontiers Sci Ctr Deep Ocean Multispheres & Earth, Key Lab Marine Chem Theory & Technol, Qingdao, Peoples R China.; Yang, GP (corresponding author), Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao, Peoples R China.
EM gpyang@mail.ouc.edu.cn
CR Alcolombri U, 2015, SCIENCE, V348, P1466, DOI 10.1126/science.aab1586
ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
ANDREAE TW, 1994, J GEOPHYS RES-ATMOS, V99, P22819, DOI 10.1029/94JD01837
Archer SD, 2003, J PLANKTON RES, V25, P235, DOI 10.1093/plankt/25.2.235
Asher EC, 2017, LIMNOL OCEANOGR, V62, P104, DOI 10.1002/lno.10379
Besiktepe S, 2004, DEEP-SEA RES PT I, V51, P1179, DOI 10.1016/j.dsr.2004.05.008
Bucciarelli E, 2013, LIMNOL OCEANOGR, V58, P1667, DOI 10.4319/lo.2013.58.5.1667
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cantin G, 1996, MAR ECOL PROG SER, V141, P103, DOI 10.3354/meps141103
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Chen YL, 2022, ACTA OCEANOL SIN, V41, P22, DOI 10.1007/s13131-021-1912-1
Christaki U, 2005, ENVIRON MICROBIOL, V7, P1200, DOI 10.1111/j.1462-2920.2005.00800.x
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
Curson ARJ, 2018, NAT MICROBIOL, V3, P430, DOI 10.1038/s41564-018-0119-5
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
DACEY JWH, 1987, GEOPHYS RES LETT, V14, P1246, DOI 10.1029/GL014i012p01246
DACEY JWH, 1986, SCIENCE, V233, P1314, DOI 10.1126/science.233.4770.1314
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
del Valle DA, 2007, MAR CHEM, V103, P197, DOI 10.1016/j.marchem.2006.07.005
Franklin DJ, 2009, PROG OCEANOGR, V83, P134, DOI 10.1016/j.pocean.2009.07.011
FROST BW, 1972, LIMNOL OCEANOGR, V17, P805, DOI 10.4319/lo.1972.17.6.0805
Galí M, 2015, GLOBAL BIOGEOCHEM CY, V29, P496, DOI 10.1002/2014GB004940
Grasshoff K., 2009, Methods of seawater analysis, DOI DOI 10.1017/S0025315400028216
Hatton AD, 2002, DEEP-SEA RES PT II, V49, P3053, DOI 10.1016/S0967-0645(02)00071-1
Hyun JH, 2003, MAR ECOL PROG SER, V252, P77, DOI 10.3354/meps252077
Jackson R, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10081581
Jian S, 2018, LIMNOL OCEANOGR, V63, pS280, DOI 10.1002/lno.10737
Johnson WM, 2016, ISME J, V10, P2304, DOI 10.1038/ismej.2016.6
Karsten U, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P143
KELLER MD, 1989, ACS SYM SER, V393, P167
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2006, LIMNOL OCEANOGR-METH, V4, P80, DOI 10.4319/lom.2006.4.80
KIENE RP, 1992, MAR CHEM, V37, P29, DOI 10.1016/0304-4203(92)90055-F
KIRST GO, 1990, ANNU REV PLANT PHYS, V41, P21, DOI 10.1146/annurev.pp.41.060190.000321
Kwint RLJ, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P239
Lana A, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003850
LANDRY MR, 1982, MAR BIOL, V67, P283, DOI 10.1007/BF00397668
Levasseur M, 2013, NAT GEOSCI, V6, P691, DOI 10.1038/NGEO1910
Levine NM, 2012, ENVIRON MICROBIOL, V14, P1210, DOI 10.1111/j.1462-2920.2012.02700.x
Li CX, 2016, J GEOPHYS RES-OCEANS, V121, P7495, DOI 10.1002/2016JC011901
Liss PS., 1986, ROLE AIR GAS EXCHANG, P113
Liu DY, 2004, ACTA OCEANOL SIN, V23, P687
Liu RH, 2021, CHINESE GEOGR SCI, V31, P137, DOI 10.1007/s11769-021-1180-1
Liu Y, 2016, ENVIRON CHEM, V13, P127, DOI 10.1071/EN15025
Liu ZY, 2009, J MARINE SYST, V77, P459, DOI 10.1016/j.jmarsys.2008.11.001
MAN JCD, 1975, EUR J APPL MICROBIOL, V1, P67, DOI 10.1007/BF01880621
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
MATRAI PA, 1994, MAR BIOL, V119, P61, DOI 10.1007/BF00350107
McParland EL, 2019, LIMNOL OCEANOGR, V64, P757, DOI 10.1002/lno.11076
NGUYEN BC, 1992, J ATMOS CHEM, V15, P39, DOI 10.1007/BF00053608
Nightingale PD, 2000, GLOBAL BIOGEOCHEM CY, V14, P373, DOI 10.1029/1999GB900091
O'Brien J, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.894026
Owen K, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-01668-3
Parsons TR., 1984, A manual of chemical biological methods for seawater analysis, P107, DOI [10.1016/B978-0-08-030287-4.50034-7, DOI 10.1016/B978-0-08-030287-4.50034-7, 10.1016/C2009-0-07774-5]
Quan Q, 2013, J OCEAN U CHINA, V12, P524, DOI 10.1007/s11802-013-2198-5
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Saló V, 2010, J PLANKTON RES, V32, P1255, DOI 10.1093/plankt/fbq041
SALTZMAN ES, 1993, J GEOPHYS RES-OCEANS, V98, P16481, DOI 10.1029/93JC01858
Shemi A, 2021, NAT MICROBIOL, V6, P1357, DOI 10.1038/s41564-021-00971-3
SIEBURTH JM, 1978, LIMNOL OCEANOGR, V23, P1256, DOI 10.4319/lo.1978.23.6.1256
Simó R, 1999, NATURE, V402, P396, DOI 10.1038/46516
Simó R, 2018, BIOGEOCHEMISTRY, V141, P125, DOI 10.1007/s10533-018-0506-2
Simó R, 2009, AQUAT MICROB ECOL, V57, P43, DOI 10.3354/ame01325
Stefels J, 2007, BIOGEOCHEMISTRY, V83, P245, DOI 10.1007/s10533-007-9091-5
Steinke M, 2002, DEEP-SEA RES PT II, V49, P3001, DOI 10.1016/S0967-0645(02)00068-1
Steinke M, 2000, J SEA RES, V43, P233, DOI 10.1016/S1385-1101(00)00024-1
Strom S, 2003, LIMNOL OCEANOGR, V48, P230, DOI 10.4319/lo.2003.48.1.0230
Sun J, 2010, CHIN J OCEANOL LIMN, V28, P315, DOI 10.1007/s00343-010-9285-x
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Tang KW, 2000, MAR BIOL, V136, P749, DOI 10.1007/s002270000309
Tang KW, 2001, J PLANKTON RES, V23, P549, DOI 10.1093/plankt/23.5.549
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Uher G, 2000, MAR CHEM, V69, P277, DOI 10.1016/S0304-4203(00)00009-8
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Wang M, 2010, ENVIRON MICROBIOL, V12, P1926, DOI 10.1111/j.1462-2920.2010.02197.x
Wolfe GV, 2000, DEEP-SEA RES PT I, V47, P2243, DOI 10.1016/S0967-0637(00)00028-5
Wolfe GV, 1996, LIMNOL OCEANOGR, V41, P1151, DOI 10.4319/lo.1996.41.6.1151
Xu F, 2019, J GEOPHYS RES-OCEANS, V124, P5787, DOI 10.1029/2019JC015085
Yang GP, 2008, MAR ENVIRON RES, V65, P85, DOI 10.1016/j.marenvres.2007.09.002
Yang GP, 2014, J GEOPHYS RES-OCEANS, V119, P8897, DOI 10.1002/2014JC010373
Yang GP, 2011, CONT SHELF RES, V31, P1325, DOI 10.1016/j.csr.2011.05.001
Yang J, 2015, CHIN J OCEANOL LIMN, V33, P1020, DOI 10.1007/s00343-015-4188-5
Yoch DC, 2002, APPL ENVIRON MICROB, V68, P5804, DOI 10.1128/AEM.68.12.5804-5815.2002
Yu J, 2019, J GEOPHYS RES-BIOGEO, V124, P2481, DOI 10.1029/2018JG004721
Yu J., 2023, EFFECT ZOOPLANKTON D, DOI [10.6084/m9.figshare.20134481, DOI 10.6084/M9.FIGSHARE.20134481]
Yu J, 2021, J GEOPHYS RES-OCEANS, V126, DOI 10.1029/2021JC017679
Yu J, 2015, J SEA RES, V99, P17, DOI 10.1016/j.seares.2015.01.004
Zhai X, 2019, J GEOPHYS RES-OCEANS, V124, P1074, DOI 10.1029/2018JC014488
Zhai X, 2018, MAR CHEM, V200, P33, DOI 10.1016/j.marchem.2018.01.009
Zhang MM, 2022, PROG OCEANOGR, V202, DOI 10.1016/j.pocean.2022.102744
Zhang SH, 2017, BIOGEOCHEMISTRY, V133, P59, DOI 10.1007/s10533-017-0308-y
Zhang SH, 2014, SCI TOTAL ENVIRON, V488, P157, DOI 10.1016/j.scitotenv.2014.04.074
Zhang WC, 2002, AQUAT MICROB ECOL, V27, P249, DOI 10.3354/ame027249
NR 96
TC 8
Z9 8
PD APR
PY 2023
VL 128
IS 4
AR e2022JC019030
DI 10.1029/2022JC019030
UT WOS:000973050300001
DA 2025-07-30
ER
PT J
AU Allen, LZ
McCrow, JP
Ininbergs, K
Dupont, CL
Badger, JH
Hoffman, JM
Ekman, M
Allen, AE
Bergman, B
Venter, JC
AF Allen, Lisa Zeigler
McCrow, John P.
Ininbergs, Karolina
Dupont, Christopher L.
Badger, Jonathan H.
Hoffman, Jeffery M.
Ekman, Martin
Allen, Andrew E.
Bergman, Birgitta
Venter, J. Craig
TI The Baltic Sea Virome: Diversity and Transcriptional Activity of DNA and
RNA Viruses
SO MSYSTEMS
DT Article
AB Metagenomic and metatranscriptomic data were generated from size-fractionated samples from 11 sites within the Baltic Sea and adjacent marine waters of Kattegat and freshwater Lake Tornetrask in order to investigate the diversity, distribution, and transcriptional activity of virioplankton. Such a transect, spanning a salinity gradient from freshwater to the open sea, facilitated a broad genome-enabled investigation of natural as well as impacted aspects of Baltic Sea viral communities. Taxonomic signatures representative of phages within the widely distributed order Caudovirales were identified with enrichments in lesser-known families such as Podoviridae and Siphoviridae. The distribution of phage reported to infect diverse and ubiquitous heterotrophic bacteria (SAR11 clades) and cyanobacteria (Synechococcus sp.) displayed population-level shifts in diversity. Samples from higher-salinity conditions (>14 practical salinity units [PSU]) had increased abundances of viruses for picoeukaryotes, i.e., Ostreococcus. These data, combined with host diversity estimates, suggest viral modulation of diversity on the whole-community scale, as well as in specific prokaryotic and eukaryotic lineages. RNA libraries revealed single-stranded DNA (ssDNA) and RNA viral populations throughout the Baltic Sea, with ssDNA phage highly represented in Lake Tornetrask. Further, our data suggest relatively high transcriptional activity of fish viruses within diverse families known to have broad host ranges, such as Nodoviridae (RNA), Iridoviridae (DNA), and predicted zoonotic viruses that can cause ecological and economic damage as well as impact human health.
IMPORTANCE Inferred virus-host relationships, community structures of ubiquitous ecologically relevant groups, and identification of transcriptionally active populations have been achieved with our Baltic Sea study. Further, these data, highlighting the transcriptional activity of viruses, represent one of the more powerful uses of omics concerning ecosystem health. The use of omics-related data to assess ecosystem health holds great promise for rapid and relatively inexpensive determination of perturbations and risk, explicitly with regard to viral assemblages, as no single marker gene is suitable for widespread taxonomic coverage.
C1 [Allen, Lisa Zeigler; McCrow, John P.; Dupont, Christopher L.; Badger, Jonathan H.; Hoffman, Jeffery M.; Allen, Andrew E.; Venter, J. Craig] J Craig Venter Inst, Microbial & Environm Genom, San Diego, CA 92037 USA.
[Allen, Andrew E.] Scripps Inst Oceanog, La Jolla, CA USA.
[Ininbergs, Karolina; Ekman, Martin; Bergman, Birgitta] Stockholm Univ, Sci Life Lab, Dept Ecol Environm & Plant Sci, Solna, Sweden.
[Badger, Jonathan H.] NCI, Natl Canc Inst, Bethesda, MD 20892 USA.
RP Allen, LZ (corresponding author), J Craig Venter Inst, Microbial & Environm Genom, San Diego, CA 92037 USA.
EM lzeigler@jcvi.org
CR Ahlgren NA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00213
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Allen LZ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017722
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Angly F, 2009, ENVIRON MICROBIOL, V11, P2863, DOI 10.1111/j.1462-2920.2009.02021.x
Asplund-Samuelsson J, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01043
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Balcere A, 2015, REPORT IND SWINE CAT
Bertos-Fortis M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00625
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bianchi TS, 2000, J EXP MAR BIOL ECOL, V251, P161, DOI 10.1016/S0022-0981(00)00212-4
Bratbak G, 1993, TRENDS IN MICROBIAL ECOLOGY, P299
Breitbart M, 2004, P ROY SOC B-BIOL SCI, V271, P565, DOI 10.1098/rspb.2003.2628
Brindefalk B, 2016, ENVIRON MICROBIOL, V18, P4442, DOI 10.1111/1462-2920.13407
Cadotte MW, 2016, PHYLOGENIES ECOLOGY, P10
Cassman N, 2012, ENVIRON MICROBIOL, V14, P3043, DOI 10.1111/j.1462-2920.2012.02891.x
Civitello DJ, 2015, P NATL ACAD SCI USA, V112, P8667, DOI 10.1073/pnas.1506279112
Culley AI, 2003, NATURE, V424, P1054, DOI 10.1038/nature01886
Culley AI, 2014, MBIO, V5, DOI 10.1128/mBio.01210-14
Dean FB, 2001, GENOME RES, V11, P1095, DOI 10.1101/gr.180501
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deng L, 2012, MBIO, V3, DOI 10.1128/mBio.00373-12
Dinsdale EA, 2008, NATURE, V452, P629, DOI 10.1038/nature06810
Dunlap DS, 2013, P NATL ACAD SCI USA, V110, P1375, DOI 10.1073/pnas.1216595110
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Farnelid H, 2013, ISME J, V7, P1413, DOI 10.1038/ismej.2013.26
Feike J, 2012, ISME J, V6, P461, DOI 10.1038/ismej.2011.94
FUHRMAN J, 1992, ENVIR SCI R, V43, P361
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Funkey CP, 2014, ENVIRON SCI TECHNOL, V48, P2598, DOI 10.1021/es404395a
Gobler CJ, 1997, LIMNOL OCEANOGR, V42, P1492, DOI 10.4319/lo.1997.42.7.1492
Gomez-Alvarez V, 2009, ISME J, V3, P1314, DOI 10.1038/ismej.2009.72
Gotelli NJ, 2002, ECOL LETT, V5, P86, DOI 10.1046/j.1461-0248.2002.00288.x
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hewson I, 2006, J MAR BIOL ASSOC UK, V86, P577, DOI 10.1017/S002531540601349X
Holmfeldt K, 2012, APPL ENVIRON MICROB, V78, P892, DOI 10.1128/AEM.06580-11
Holmfeldt K, 2010, MICROB ECOL, V60, P572, DOI 10.1007/s00248-010-9668-8
Hu YOO, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00679
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Jakubowska-Deredas M, 2012, RES MICROBIOL, V163, P292, DOI 10.1016/j.resmic.2012.02.002
Jenkins CA, 2006, J MAR BIOL ASSOC UK, V86, P529, DOI 10.1017/S0025315406013439
JENKINS DE, 1991, J BACTERIOL, V173, P1992, DOI 10.1128/jb.173.6.1992-1996.1991
Johnson PTJ, 2015, ECOL LETT, V18, P1119, DOI 10.1111/ele.12479
Jones KE, 2008, NATURE, V451, P990, DOI 10.1038/nature06536
Kahru M, 2014, BIOGEOSCIENCES, V11, P3619, DOI 10.5194/bg-11-3619-2014
Keesing F, 2009, P ROY SOC B-BIOL SCI, V276, P3911, DOI 10.1098/rspb.2009.1159
Keesing F, 2015, SCIENCE, V349, P235, DOI 10.1126/science.aac7892
Keesing F, 2010, NATURE, V468, P647, DOI 10.1038/nature09575
Kim KH, 2011, APPL ENVIRON MICROB, V77, P7663, DOI 10.1128/AEM.00289-11
KIRCHMAN DL, 1994, MICROBIAL ECOL, V28, P255, DOI 10.1007/BF00166816
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Larsson J, 2014, ISME J, V8, P1892, DOI 10.1038/ismej.2014.35
Luhtanen AM, 2014, EXTREMOPHILES, V18, P121, DOI 10.1007/s00792-013-0604-y
MARANGER R, 1995, MAR ECOL PROG SER, V121, P217, DOI 10.3354/meps121217
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
Matthäus W, 1999, HYDROBIOLOGIA, V393, P1, DOI 10.1023/A:1003573328473
Morgulis A, 2006, J COMPUT BIOL, V13, P1028, DOI 10.1089/cmb.2006.13.1028
Nagasaki K, 2004, APPL ENVIRON MICROB, V70, P704, DOI 10.1128/AEM.70.2.704-711.2004
NAGASAKI K, 1994, MAR BIOL, V119, P307, DOI 10.1007/BF00349570
Nagasaki K, 2008, J MICROBIOL, V46, P235, DOI 10.1007/s12275-008-0098-y
Ostfeld RS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107387
Palenik B, 2001, APPL ENVIRON MICROB, V67, P991, DOI 10.1128/AEM.67.2.991-994.2001
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
Riemann L, 2009, MICROB ECOL, V57, P286, DOI 10.1007/s00248-008-9429-0
Rohwer F, 2000, LIMNOL OCEANOGR, V45, P408, DOI 10.4319/lo.2000.45.2.0408
Rosario K, 2012, J GEN VIROL, V93, P2668, DOI 10.1099/vir.0.045948-0
Rosario K, 2009, J GEN VIROL, V90, P2418, DOI 10.1099/vir.0.012955-0
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schmieder R, 2012, BIOINFORMATICS, V28, P433, DOI 10.1093/bioinformatics/btr669
Sencilo A, 2015, ENVIRON MICROBIOL, V17, P3628, DOI 10.1111/1462-2920.12611
Stewart FJ, 2010, ISME J, V4, P896, DOI 10.1038/ismej.2010.18
Sulcius S, 2016, MAR BIOL RES, V12, P115, DOI 10.1080/17451000.2015.1118514
Sullivan MB, 2009, ENVIRON MICROBIOL, V11, P2935, DOI 10.1111/j.1462-2920.2009.02081.x
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thureborn P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074983
Tomaru Y, 2009, APPL ENVIRON MICROB, V75, P2375, DOI 10.1128/AEM.02580-08
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Voss B, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0060224
Waterbury JB., 1986, CAN B FISH AQUAT SCI, V214, P71
Webb CO, 2002, ANNU REV ECOL SYST, V33, P475, DOI 10.1146/annurev.ecolsys.33.010802.150448
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weinbauer MG, 2003, LIMNOL OCEANOGR, V48, P1457, DOI 10.4319/lo.2003.48.4.1457
Weitz Joshua S, 2012, F1000 Biol Rep, V4, P17
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Williamson SJ, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042047
WOMMACK KE, 1995, J MICROBIOL METH, V22, P57, DOI 10.1016/0167-7012(94)00064-E
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Wu M, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-10-r151
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 93
TC 55
Z9 60
PD JAN-FEB
PY 2017
VL 2
IS 1
AR e00125-16
DI 10.1128/mSystems.00125-16
UT WOS:000408193500005
DA 2025-07-30
ER
PT J
AU Nelson, CE
Alldredge, AL
McCliment, EA
Amaral-Zettler, LA
Carlson, CA
AF Nelson, Craig E.
Alldredge, Alice L.
McCliment, Elizabeth A.
Amaral-Zettler, Linda A.
Carlson, Craig A.
TI Depleted dissolved organic carbon and distinct bacterial communities in
the water column of a rapid-flushing coral reef ecosystem
SO ISME JOURNAL
DT Article
AB Coral reefs are highly productive ecosystems bathed in unproductive, low-nutrient oceanic waters, where microbially dominated food webs are supported largely by bacterioplankton recycling of dissolved compounds. Despite evidence that benthic reef organisms efficiently scavenge particulate organic matter and inorganic nutrients from advected oceanic waters, our understanding of the role of bacterioplankton and dissolved organic matter (DOM) in the interaction between reefs and the surrounding ocean remains limited. In this study, we present the results of a 4-year study conducted in a well-characterized coral reef ecosystem (Paopao Bay, Moorea, French Polynesia) where changes in bacterioplankton abundance and dissolved organic carbon (DOC) concentrations were quantified and bacterial community structure variation was examined along spatial gradients of the reef: ocean interface. Our results illustrate that the reef is consistently depleted in concentrations of both DOC and bacterioplankton relative to offshore waters (averaging 79 mu mol l(-1) DOC and 5.5 x 10(8) cells l(-1) offshore and 68 lmol l(-1) DOC and 3.1 x 10(8) cells l(-1) over the reef, respectively) across a 4-year time period. In addition, using a suite of culture-independent measures of bacterial community structure, we found consistent differentiation of reef bacterioplankton communities from those offshore or in a nearby embayment across all taxonomic levels. Reef habitats were enriched in Gamma-, Delta-, and Betaproteobacteria, Bacteriodetes, Actinobacteria and Firmicutes. Specific bacterial phylotypes, including members of the SAR11, SAR116, Flavobacteria, and Synechococcus clades, exhibited clear gradients in relative abundance among nearshore habitats. Our observations indicate that this reef system removes oceanic DOC and exerts selective pressures on bacterioplankton community structure on timescales approximating reef water residence times, observations which are notable both because fringing reefs do not exhibit long residence times (unlike those characteristic of atoll lagoons) and because oceanic DOC is generally recalcitrant to degradation by ambient microbial assemblages. Our findings thus have interesting implications for the role of oceanic DOM and bacterioplankton in the ecology and metabolism of reef ecosystems. The ISME Journal (2011) 5, 1374-1387; doi:10.1038/ismej.2011.12; published online 10 March 2011
C1 [Nelson, Craig E.; Alldredge, Alice L.; Carlson, Craig A.] Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
[Alldredge, Alice L.; Carlson, Craig A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[McCliment, Elizabeth A.; Amaral-Zettler, Linda A.] Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA 02543 USA.
[Amaral-Zettler, Linda A.] Brown Univ, Dept Geol Sci, Providence, RI 02912 USA.
RP Nelson, CE (corresponding author), Univ Calif Santa Barbara, Inst Marine Sci, Santa Barbara, CA 93106 USA.
EM cr_nelson@lifesci.ucsb.edu
CR Adjeroud M, 1997, MAR ECOL PROG SER, V159, P105, DOI 10.3354/meps159105
Arias-Gonzalez JE, 1997, CORAL REEFS, V16, P231
AYUKAI T, 1995, CORAL REEFS, V14, P141, DOI 10.1007/BF00367231
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Barott K, 2009, PLOS ONE, V4, DOI [10.1371/journal.pone.0010950, 10.1371/journal.pone.0008043]
Beman JM, 2007, APPL ENVIRON MICROB, V73, P5642, DOI 10.1128/AEM.00461-07
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Cherrier J, 1996, MAR ECOL PROG SER, V139, P267, DOI 10.3354/meps139267
CHO BC, 1990, MAR ECOL PROG SER, V63, P253, DOI 10.3354/meps063253
Clarke KR., 2006, PRIMER VERSION 7 USE
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
CROSSLAND CJ, 1991, CORAL REEFS, V10, P55, DOI 10.1007/BF00571824
CROSSLAND CJ, 1983, AUST J MAR FRESH RES, V34, P835
Darwin Charles., 1889, The Structure and Distribution of Coral Reefs, V3d
de Goeij JM, 2008, MAR ECOL PROG SER, V357, P139, DOI 10.3354/meps07403
de Goeij JM, 2007, LIMNOL OCEANOGR, V52, P2608, DOI 10.4319/lo.2007.52.6.2608
DELESALLE B, 1992, CONT SHELF RES, V12, P939, DOI 10.1016/0278-4343(92)90053-M
Dereeper A, 2008, NUCLEIC ACIDS RES, V36, pW465, DOI 10.1093/nar/gkn180
DeSantis TZ, 2006, NUCLEIC ACIDS RES, V34, pW394, DOI 10.1093/nar/gkl244
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Dinsdale EA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001584
Ducklow H.W., 1990, Ecosystems of the World: Coral Reefs, V25, P265
Fabricius KE, 2005, MAR POLLUT BULL, V50, P125, DOI 10.1016/j.marpolbul.2004.11.028
Ferrier-Pages C, 1998, MAR ECOL PROG SER, V172, P265, DOI 10.3354/meps172265
Fichez R, 1996, AQUAT GEOCHEM, V2, P255, DOI 10.1007/BF01160045
Gast GJ, 1998, MAR ECOL PROG SER, V167, P37, DOI 10.3354/meps167037
Gast GJ, 1999, B MAR SCI, V65, P523
Gattuso JP, 1996, MAR ECOL PROG SER, V145, P109, DOI 10.3354/meps145109
Gattuso JP, 1999, P NATL ACAD SCI USA, V96, P13017, DOI 10.1073/pnas.96.23.13017
Genin A, 2009, LIMNOL OCEANOGR, V54, P938, DOI 10.4319/lo.2009.54.3.0938
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
GRIGG RW, 1984, CORAL REEFS, V3, P23, DOI 10.1007/BF00306137
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
Hansell D.A., 2005, EOS T AM GEOPHYS UN, V86, P318
Hansell DA, 1998, GLOBAL BIOGEOCHEM CY, V12, P443, DOI 10.1029/98GB01928
Hata H, 2002, MAR ECOL PROG SER, V232, P129, DOI 10.3354/meps232129
Hatcher B.G., 1983, P317
Hench JL, 2008, LIMNOL OCEANOGR, V53, P2681, DOI 10.4319/lo.2008.53.6.2681
Hillgärtner H, 2001, SEDIMENTOLOGY, V48, P117, DOI 10.1046/j.1365-3091.2001.00356.x
Houlbrèque F, 2006, AQUAT MICROB ECOL, V44, P59, DOI 10.3354/ame044059
Huber JA, 2007, SCIENCE, V318, P97, DOI 10.1126/science.1146689
Lenhardt X, 1991, HYDRODYNAMIQUE LAGON, P156
Lesser MP, 2004, SCIENCE, V305, P997, DOI 10.1126/science.1099128
LINLEY EAS, 1986, MAR BIOL, V92, P457, DOI 10.1007/BF00392505
Mari X, 2007, LIMNOL OCEANOGR, V52, P808, DOI 10.4319/lo.2007.52.2.0808
MORIARTY DJW, 1985, MAR BIOL, V85, P285, DOI 10.1007/BF00393249
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Nakajima R, 2009, AQUAT ECOL, V43, P815, DOI 10.1007/s10452-008-9210-y
Neall VE, 2008, PHILOS T R SOC B, V363, P3293, DOI 10.1098/rstb.2008.0119
Nelson CE, 2009, ISME J, V3, P13, DOI 10.1038/ismej.2008.81
ODUM HT, 1955, ECOL MONOGR, V25, P291, DOI 10.2307/1943285
Pagès J, 2001, CORAL REEFS, V20, P409, DOI 10.1007/s00338-001-0192-7
Pagès J, 2001, AQUAT LIVING RESOUR, V14, P183, DOI 10.1016/S0990-7440(01)01113-5
PASSOW U, 1994, MAR ECOL PROG SER, V113, P185, DOI 10.3354/meps113185
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Reidenbach M, 2002, OCEANOGRAPHY, V15, P90
Richter C, 2001, NATURE, V413, P726, DOI 10.1038/35099547
Rohwer F, 2001, CORAL REEFS, V20, P85
ROUGERIE F, 1992, CONT SHELF RES, V12, P785, DOI 10.1016/0278-4343(92)90044-K
Sakka A, 2002, J PLANKTON RES, V24, P301, DOI 10.1093/plankt/24.4.301
SAS Institute Inc, 1989, JMP V8 0
Scheffers SR, 2004, CORAL REEFS, V23, P413, DOI 10.1007/s00338-004-0400-3
Schlitzer R, 2010, OCEAN DATA VIEW V4 3
Seymour JR, 2005, MAR ECOL PROG SER, V288, P1, DOI 10.3354/meps288001
Seymour JR, 2005, MAR ECOL PROG SER, V300, P21, DOI 10.3354/meps300021
Smith JE, 2006, ECOL LETT, V9, P835, DOI 10.1111/j.1461-0248.2006.00937.x
Sorokin IY, 1990, ECOSYSTEMS WORLD, V25, P401
SOROKIN YI, 1973, LIMNOL OCEANOGR, V18, P380, DOI 10.4319/lo.1973.18.3.0380
Southwell MW, 2008, LIMNOL OCEANOGR, V53, P986, DOI 10.4319/lo.2008.53.3.0986
SUESS E, 1970, GEOCHIM COSMOCHIM AC, V34, P157, DOI 10.1016/0016-7037(70)90003-7
Suzuki A, 2003, TELLUS B, V55, P428, DOI 10.1034/j.1600-0889.2003.01442.x
Suzuki Y, 2001, P 9 INT COR REEF S B
Torreton J.P., 1997, Proc. 8th Int. Coral Reef Symp, V1, P947
Torréton JP, 2007, ESTUAR COAST SHELF S, V74, P766, DOI 10.1016/j.ecss.2007.05.018
Torreton JP, 1996, AQUAT MICROB ECOL, V11, P251, DOI 10.3354/ame011251
Torreton JP, 1996, MICROB ECOL, V32, P185
Torréton JP, 2002, AQUAT MICROB ECOL, V28, P267, DOI 10.3354/ame028267
Torréton JP, 1999, CORAL REEFS, V18, P43, DOI 10.1007/s003380050152
van Duyl FC, 2001, AQUAT MICROB ECOL, V24, P17, DOI 10.3354/ame024017
van Duyl FC, 2006, CORAL REEFS, V25, P23, DOI 10.1007/s00338-005-0066-5
Verdugo P, 2004, MAR CHEM, V92, P67, DOI 10.1016/j.marchem.2004.06.017
WARE JR, 1992, CORAL REEFS, V11, P127, DOI 10.1007/BF00255465
Wegley L, 2007, ENVIRON MICROBIOL, V9, P2707, DOI 10.1111/j.1462-2920.2007.01383.x
Weinbauer MG, 2010, AQUAT MICROB ECOL, V60, P15, DOI 10.3354/ame01411
WIEBE WJ, 1975, SCIENCE, V188, P257, DOI 10.1126/science.188.4185.257
Wild C, 2006, MAR FRESHWATER RES, V57, P415, DOI 10.1071/MF05205
Wild C, 2004, MAR ECOL PROG SER, V267, P159, DOI 10.3354/meps267159
Yahel G, 2003, LIMNOL OCEANOGR, V48, P141, DOI 10.4319/lo.2003.48.1.0141
YOSHINAGA I, 1991, MAR ECOL PROG SER, V76, P167, DOI 10.3354/meps076167
NR 93
TC 108
Z9 120
PD AUG
PY 2011
VL 5
IS 8
BP 1374
EP 1387
DI 10.1038/ismej.2011.12
UT WOS:000295782200013
DA 2025-07-30
ER
PT J
AU Li, JT
Yang, JY
Sun, MX
Su, L
Wang, H
Gao, JQ
Bai, SJ
AF Li, Jiangtao
Yang, Jingyu
Sun, Mingxue
Su, Lei
Wang, Hu
Gao, Jianqi
Bai, Shijie
TI Distribution and Succession of Microbial Communities Along the Dispersal
Pathway of Hydrothermal Plumes on the Southwest Indian Ridge
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB The distribution and succession of microbial communities along the dispersion path of hydrothermal plumes has not been well investigated. In this study, we collected several types of samples from the Longqi hydrothermal field located on the Southwest Indian Ridge, including hydrothermal plumes at different stages of formation, a suite of water column samples across the non-buoyant hydrothermal plumes above this field, and a background seawater column approximately 350 km away from the hydrothermal field. Using CH4 concentration anomalies, three non-buoyant plume samples between 2,535 and 2,735 m were identified within the water column. Microbial community compositions within these plumes and background seawater samples were examined based on the 16S rRNA genes and revealed significant variations and successions in community composition between different portions of the hydrothermal plumes. Near the vent orifice, representing the initial stage of plume formation, microbial populations were characterized by abundant and diverse putative vent-associated communities including (hyper)thermophiles such as Aquificaceae and Hydrogenothermaceae within the phylum Aquificae, and some epsilonproteobacterial chemolithoautotrophs such as Sulfurovum, Sulfurimonas, and Caminibacter. By contrast, in the rising buoyant plumes and adjacent seawaters, most vent-associated microbial taxa were still present but made only minor contributions to community composition. Some microbial taxa that are common in seawater columns such as alphaproteobacterial Sphingomonadaceae and SAR11 clade, deltaproteobacterial SAR324 clade, and gammaproteobacterial Pseudomonas, together with Sulfurimonas and SUP05 clade, became predominant. Members within the Sulfurimonas and SUP05 clade flourished with considerable abundance in the non-buoyant plumes, although these plumes were mainly composed of alphaproteobacterial Rhodobacteraceae, gammaproteobacterial Alteromonadaceae and Saccharospirilaceae putatively derived from the surrounding ambient seawater. We also analyzed archaeal components in the initial discharge and rising buoyant plume stages, with both primarily consisting of thaumarchaeal Nitrosopumilales and euryarchaeal Marine Group II. Our results indicated that being characteristic microbial lineages within the hydrothermal plumes of the Southwest Indian Ridge, both Sulfurimonas and SUP05 clade display a common and abundant distribution across the plume path. However, out of these clades, Sulfurimonas is more abundant and widespread.
C1 [Li, Jiangtao; Yang, Jingyu; Sun, Mingxue; Su, Lei; Wang, Hu; Gao, Jianqi] Tongji Univ, State Key Lab Marine Geol, Shanghai, Peoples R China.
[Bai, Shijie] Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya, Peoples R China.
RP Bai, SJ (corresponding author), Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya, Peoples R China.
EM baishijie@idsse.ac.cn
CR Adams DK, 2011, SCIENCE, V332, P580, DOI 10.1126/science.1201066
Anantharaman K, 2016, ISME J, V10, P225, DOI 10.1038/ismej.2015.81
[Anonymous], 1995, Seafloor Hydrothermal Systems: Physical, Chemical, Biological, and Geological Interactions, Geophysical Monograph Series
Bach W, 2002, GEOCHEM GEOPHY GEOSY, V3, DOI 10.1029/2001GC000279
Baker BJ, 2012, ISME J, V6, P2269, DOI 10.1038/ismej.2012.64
Baker E.T., 1995, GEOPHYSICAL MONOGRAPH-AM ERICAN GEOPHYSICAL UNION, V91, P47, DOI [10.1029/GM091p0047, DOI 10.1029/GM091P0047]
Campbell BJ, 2006, NAT REV MICROBIOL, V4, P458, DOI 10.1038/nrmicro1414
Castelle CJ, 2015, CURR BIOL, V25, P690, DOI 10.1016/j.cub.2015.01.014
Copley JT, 2016, SCI REP-UK, V6, DOI 10.1038/srep39158
Cowen JP, 2001, DEEP-SEA RES PT I, V48, P1093, DOI 10.1016/S0967-0637(00)00070-4
Dick GJ, 2019, NAT REV MICROBIOL, V17, P271, DOI 10.1038/s41579-019-0160-2
Dick GJ, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00124
Dick GJ, 2010, ENVIRON MICROBIOL, V12, P1334, DOI 10.1111/j.1462-2920.2010.02177.x
Dick GJ, 2009, GEOCHIM COSMOCHIM AC, V73, P6517, DOI 10.1016/j.gca.2009.07.039
Djurhuus A, 2017, ROY SOC OPEN SCI, V4, DOI 10.1098/rsos.160829
Elderfield H, 1996, ANNU REV EARTH PL SC, V24, P191, DOI 10.1146/annurev.earth.24.1.191
Fitzsimmons JN, 2017, NAT GEOSCI, V10, P195, DOI [10.1038/ngeo2900, 10.1038/NGEO2900]
Gartman A, 2014, CHEM GEOL, V366, P32, DOI 10.1016/j.chemgeo.2013.12.013
German CR, 2010, P NATL ACAD SCI USA, V107, P14020, DOI 10.1073/pnas.1009205107
German CR, 2003, GEOCHEM GEOPHY GEOSY, V4, DOI 10.1029/2003GC000522
German CR, 1998, NATURE, V395, P490, DOI 10.1038/26730
Grote J, 2012, P NATL ACAD SCI USA, V109, P506, DOI 10.1073/pnas.1111262109
Han YC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00989
Holden JF, 2012, OCEANOGRAPHY, V25, P196, DOI 10.5670/oceanog.2012.18
Huber JA, 2002, APPL ENVIRON MICROB, V68, P1585, DOI 10.1128/AEM.68.4.1585-1594.2002
Jackson PR, 2010, DEEP-SEA RES PT I, V57, P37, DOI 10.1016/j.dsr.2009.10.011
Jiang HS, 2014, DEEP-SEA RES PT I, V92, P41, DOI 10.1016/j.dsr.2014.06.006
Kato S, 2009, ENVIRON MICROBIOL, V11, P2094, DOI 10.1111/j.1462-2920.2009.01930.x
Lahme S, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.01891-18
Lam P, 2004, FEMS MICROBIOL ECOL, V47, P191, DOI 10.1016/S0168-6496(03)00256-3
Lesniewski RA, 2012, ISME J, V6, P2257, DOI 10.1038/ismej.2012.63
Li JT, 2020, DEEP-SEA RES PT I, V157, DOI 10.1016/j.dsr.2019.103208
Li JT, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01378
Li JT, 2016, GEOMICROBIOL J, V33, P401, DOI 10.1080/01490451.2015.1048393
Li MZ, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00826
Li M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9933
Li M, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4192
Li M, 2014, ENVIRON MICROBIOL, V16, P60, DOI 10.1111/1462-2920.12182
Liu XB, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0488-2
LUPTON JE, 1985, NATURE, V316, P621, DOI 10.1038/316621a0
Marbler H, 2010, MAR GEOL, V271, P187, DOI 10.1016/j.margeo.2010.01.012
McAllister SM, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz015
McCollom TM, 2000, DEEP-SEA RES PT I, V47, P85, DOI 10.1016/S0967-0637(99)00048-5
Meier DV, 2016, ENVIRON MICROBIOL, V18, P4348, DOI 10.1111/1462-2920.13304
Mino S, 2017, ISME J, V11, P909, DOI 10.1038/ismej.2016.178
Molari M., 2017, GOLDSCHMIDT2017 ABST
Münch U, 2001, CHEM GEOL, V177, P341, DOI 10.1016/S0009-2541(00)00418-6
Nakagawa S, 2005, ENVIRON MICROBIOL, V7, P1619, DOI 10.1111/j.1462-2920.2005.00856.x
Niemann H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074894
Orcutt BN, 2011, MICROBIOL MOL BIOL R, V75, P361, DOI 10.1128/MMBR.00039-10
Perner M, 2013, ENVIRON MICROBIOL, V15, P1551, DOI 10.1111/1462-2920.12038
Perner M, 2010, FEMS MICROBIOL ECOL, V74, P55, DOI 10.1111/j.1574-6941.2010.00940.x
Prieto L, 2007, MAR BIOL, V150, P1093, DOI 10.1007/s00227-006-0430-1
Shackelford R, 2006, DEEP-SEA RES PT I, V53, P1677, DOI 10.1016/j.dsr.2006.08.001
Sheik CS, 2015, ISME J, V9, P1434, DOI 10.1038/ismej.2014.228
Sunamura M, 2004, APPL ENVIRON MICROB, V70, P1190, DOI 10.1128/AEM.70.2.1190-1198.2004
Sunamura M., 2015, SUBSEAFLOOR BIOSPHER
Sylvan JB, 2012, GEOBIOLOGY, V10, P178, DOI 10.1111/j.1472-4669.2011.00315.x
Takai K, 2004, APPL ENVIRON MICROB, V70, P2404, DOI 10.1128/AEM.70.4.2404-2413.2004
Takai K, 2008, P NATL ACAD SCI USA, V105, P10949, DOI 10.1073/pnas.0712334105
Tao C., 2014, 2014 AGU FALL M
Tao CH, 2012, GEOLOGY, V40, P47, DOI 10.1130/G32389.1
Vander Roost J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03008
Wang H, 2019, J GEOPHYS RES-OCEANS, V124, P4029, DOI 10.1029/2018JC014713
Wang H, 2015, LIMNOL OCEANOGR-METH, V13, P722, DOI 10.1002/lom3.10061
Wang TT, 2011, CHINESE SCI BULL, V56, P3605, DOI 10.1007/s11434-011-4723-5
Zhang C., 2006, INTERRIDGE NEWS, V15, P33
Zhou HY, 2013, NATURE, V494, P195, DOI 10.1038/nature11842
Zhou YD, 2018, DEEP-SEA RES PT I, V137, P1, DOI 10.1016/j.dsr.2018.05.001
NR 69
TC 12
Z9 14
PD NOV 5
PY 2020
VL 7
AR 581381
DI 10.3389/fmars.2020.581381
UT WOS:000591538300001
DA 2025-07-30
ER
PT J
AU Coutinho, FH
Rosselli, R
Rodríguez-Valera, F
AF Hernandes Coutinho, Felipe
Rosselli, Riccardo
Rodriguez-Valera, Francisco
TI Trends of Microdiversity Reveal Depth-Dependent Evolutionary Strategies
of Viruses in the Mediterranean
SO MSYSTEMS
DT Article
AB The evolutionary interactions between viruses and their prokaryotic hosts remain a little-known aspect of microbial evolution. Most studies on this topic were carried out in pure cultures that challenge one virus with one bacterial clone at a time, which is very removed from real-life situations. Few studies have addressed trends of microdiversity in marine viral communities throughout depth gradients. We analyzed metagenomes from both the cellular and viral fractions of Mediterranean seawater samples spanning the epipelagic to the bathypelagic zones at depths of 15, 45, 60, and 2,000 m during the summer stratification of the water column. We evaluated microdiversity patterns by measuring the accumulation of synonymous and nonsynonymous mutations in viral genes. Our results demonstrated clear depth-dependent trends in the frequency of polymorphic sites and nonsynonymous mutations among genes encoding metabolic, structural, and replication proteins. These differences were linked to changes in energy availability, host and viral densities, and the proportions of actively replicating viruses. We propose the hypothesis that in the energy-rich, high-host-density, euphotic depths, selection acts to favor diversity of the host recognition machinery to increase host range, while in energy-depleted aphotic waters, selection acts on viral replication fitness, enhancing diversity in auxiliary metabolic genes.
IMPORTANCE Viruses are extremely abundant and diverse biological entities that contribute to the functioning of marine ecosystems. Despite their recognized importance, few studies have addressed trends of mutation accumulation in marine viral communities across depth gradients. By investigating these trends, we show that mutation frequencies differ among viral genes according to their molecular functions, with the highest microdiversity occurring among proteins related to host metabolism, followed by structural proteins and, lastly, genome replication proteins. This is in agreement with evolutionary theory that postulates that housekeeping genes are under strong purifying selection. We also observed a positive association between depth and microdiversity. One exception to this trend was the host recognition proteins from the deep chlorophyll maximum, which displayed strikingly high microdiversity, which we hypothesize to be associated with intraspecies competition for hosts. Finally, our data allowed us to propose a theoretical model for viral micro-diversity across the depth gradient. These discoveries are of special relevance because many of the viral genomic sequences discovered here were predicted to infect some of the most abundant bacteria in marine ecosystems, such as "Candidatus Pelagibacter," Puniceispirillum, and Prochlorococcus.
C1 [Hernandes Coutinho, Felipe; Rosselli, Riccardo; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Campus San Juan, Alicante, Spain.
[Rodriguez-Valera, Francisco] Moscow Inst Phys & Technol, Dolgoprudnyi, Russia.
RP Coutinho, FH (corresponding author), Univ Miguel Hernandez, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Campus San Juan, Alicante, Spain.
EM fhernandes@umh.es
CR Anantharaman K, 2014, SCIENCE, V344, P757, DOI 10.1126/science.1252229
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2013, ISME J, V7, P1738, DOI 10.1038/ismej.2013.67
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
De Sordi L, 2017, CELL HOST MICROBE, V22, P801, DOI 10.1016/j.chom.2017.10.010
Edwards RA, 2016, FEMS MICROBIOL REV, V40, P258, DOI 10.1093/femsre/fuv048
Enav H, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07164-3
Finn RD, 2015, NUCLEIC ACIDS RES, V43, pW30, DOI 10.1093/nar/gkv397
Grazziotin AL, 2017, NUCLEIC ACIDS RES, V45, pD491, DOI 10.1093/nar/gkw975
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Hannigan GD, 2017, PEERJ, V5, DOI 10.7717/peerj.2959
Haro-Moreno JM, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0513-5
Hurwitz BL, 2015, ISME J, V9, P472, DOI 10.1038/ismej.2014.143
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jin M, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0675-9
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lara E, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602565
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
López-Pérez M, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1007018
Luo E, 2017, MBIO, V8, DOI 10.1128/mBio.01903-17
Marston MF, 2012, P NATL ACAD SCI USA, V109, P4544, DOI 10.1073/pnas.1120310109
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Martiny JBH, 2014, ANNU REV MAR SCI, V6, P393, DOI 10.1146/annurev-marine-010213-135108
McDaniel LD, 2014, ENVIRON MICROBIOL, V16, P570, DOI 10.1111/1462-2920.12184
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Nobrega FL, 2018, NAT REV MICROBIOL, V16, P760, DOI 10.1038/s41579-018-0070-8
Nunoura T, 2015, P NATL ACAD SCI USA, V112, pE1230, DOI 10.1073/pnas.1421816112
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Paterson S, 2010, NATURE, V464, P275, DOI 10.1038/nature08798
Ren J, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0283-5
Reyesa A, 2015, P NATL ACAD SCI USA, V112, P11941, DOI 10.1073/pnas.1514285112
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Roos WH, 2007, CELL MOL LIFE SCI, V64, P1484, DOI 10.1007/s00018-007-6451-1
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, ELIFE, V4, DOI 10.7554/eLife.08490
Rubino F, 2017, ISME J, V11, P932, DOI 10.1038/ismej.2016.172
Schloissnig S, 2013, NATURE, V493, P45, DOI 10.1038/nature11711
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Thompson LR, 2011, P NATL ACAD SCI USA, V108, pE757, DOI 10.1073/pnas.1102164108
Weinbauer MG, 2003, LIMNOL OCEANOGR, V48, P1457, DOI 10.4319/lo.2003.48.4.1457
Williamson SJ, 2008, ISME J, V2, P1112, DOI 10.1038/ismej.2008.73
Winter C, 2008, MICROB ECOL, V56, P383, DOI 10.1007/s00248-007-9343-x
Wright RCT, 2016, BMC EVOL BIOL, V16, DOI 10.1186/s12862-016-0808-8
NR 54
TC 26
Z9 27
PD NOV-DEC
PY 2019
VL 4
IS 6
AR e00554-19
DI 10.1128/mSystems.00554-19
UT WOS:000500495300003
DA 2025-07-30
ER
PT J
AU Muck, S
De Corte, D
Clifford, EL
Bayer, B
Herndl, GJ
Sintes, E
AF Muck, Simone
De Corte, Daniele
Clifford, Elisabeth L.
Bayer, Barbara
Herndl, Gerhard J.
Sintes, Eva
TI Niche Differentiation of Aerobic and Anaerobic Ammonia Oxidizers in a
High Latitude Deep Oxygen Minimum Zone
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB To elucidate the potential for nitrification and denitrification processes in a high latitude deep oxygen minimum zone (OMZ) we determined the abundance and community composition of the main microbial players in the aerobic and anaerobic (anammox) ammonium oxidation and denitrification processes in the Gulf of Alaska throughout the water column. Within the dominant bacterial groups, Flavobacterales, Rhodobacterales, Actinomarinales, and SAR86 were more abundant in epipelagic waters and decreased with depth, whereas SAR11, SAR324, Marinimicrobia, and Thiomicrospirales increased their contribution to the bacterial community with depth. Nitrosopumilaceae also increased with depth and dominated the OMZ and bathypelagic archaeal communities. Euryarchaeota Marine Group II exhibited an opposite depth pattern to Nitrosopumilaceae, whereas Marine Group III and Woesearchaeota were more abundant in the bathypelagic realm. Candidatus Brocadia contributed 70-100% of the anammox bacterial community throughout the water column. Archaeal ammonia oxidizers (AOA) dominated the microbial community involved in the nitrogen cycle. Two AOA ecotypes, the high ammonia (HAC) and low ammonia (LAC)-AOA, characterized by distinct genes for aerobic ammonia oxidation (amoA) and for denitrification (nirK), exhibited a distinct distribution pattern related to depth and ammonia concentrations. HAC-AOA dominated in epipelagic (80.5 +/- 28.3% of total AOA) oxygenated and ammonia-rich waters, and LAC-AOA dominated in the OMZ (90.9 +/- 5.1%) and bathypelagic waters (85.5 +/- 13.5%), characterized by lower oxygen and ammonia concentrations. Bacterial denitrifiers (3.7 +/- 6.9 bacterial nirK gene mL(-1)) and anaerobic ammonia oxidizers (78 +/- 322 anammox 16S rRNA genes L-1) were low in abundance under the oxygen conditions in the Gulf of Alaska throughout the water column. The widespread distribution of bacterial denitrifiers and anaerobic ammonia oxidizers in low abundances reveals a reservoir of genetic and metabolic potential ready to colonize the environment under the predicted increase of OMZs in the ocean. Taken together, our results reinforce the niche partitioning of archaeal ammonia oxidizers based on their distinct metabolic characteristics resulting in the dominance of LAC-AOA in a high latitude deep OMZ. Considering the different ecological roles and functions of the two archaeal ecotypes, the expansion of the zones dominated by the LAC-ecotype might have implications for the nitrogen cycle in the future ocean.
C1 [Muck, Simone; Clifford, Elisabeth L.; Bayer, Barbara; Herndl, Gerhard J.; Sintes, Eva] Univ Vienna, Dept Limnol & Biooceanog, Ctr Funct Ecol, Vienna, Austria.
[Muck, Simone; Herndl, Gerhard J.] Univ Utrecht, NIOZ, Dept Marine Microbiol & Biogeochem, Royal Netherlands Inst Sea Res, Den Burg, Netherlands.
[De Corte, Daniele] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Res & Dev Ctr Marine Biosci, Yokosuka, Kanagawa, Japan.
[Sintes, Eva] Ctr Oceanog Baleares, Ecosyst Oceanog Grp GRECO, Inst Espanol Oceanog, Palma De Mallorca, Spain.
RP Sintes, E (corresponding author), Univ Vienna, Dept Limnol & Biooceanog, Ctr Funct Ecol, Vienna, Austria.; Sintes, E (corresponding author), Ctr Oceanog Baleares, Ecosyst Oceanog Grp GRECO, Inst Espanol Oceanog, Palma De Mallorca, Spain.
EM eva.sintes@ieo.es
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Agogué H, 2008, NATURE, V456, P788, DOI 10.1038/nature07535
Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
ALLDREDGE AL, 1987, SCIENCE, V235, P689, DOI 10.1126/science.235.4789.689
Alves RJE, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03861-1
[Anonymous], 2012, THESIS
Babbin AR, 2014, SCIENCE, V344, P406, DOI 10.1126/science.1248364
Bange HW, 2001, J GEOPHYS RES-OCEANS, V106, P1053, DOI 10.1029/1999JC000284
Bartossek R, 2010, ENVIRON MICROBIOL, V12, P1075, DOI 10.1111/j.1462-2920.2010.02153.x
Bayer B, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00181-19
Bayer B, 2019, INT J SYST EVOL MICR, V69, P1892, DOI 10.1099/ijsem.0.003360
Beman JM, 2008, ISME J, V2, P429, DOI 10.1038/ismej.2007.118
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Bertagnolli AD, 2017, ENV MICROBIOL REP, V9, P717, DOI 10.1111/1758-2229.12579
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
Bochdansky AB, 2016, SCI REP-UK, V6, DOI 10.1038/srep22633
Braker G, 1998, APPL ENVIRON MICROB, V64, P3769
Brandes JA, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2001GB001856
Bristow LA, 2017, NAT GEOSCI, V10, P24, DOI [10.1038/NGEO2847, 10.1038/ngeo2847]
Brochier-Armanet C, 2008, NAT REV MICROBIOL, V6, P245, DOI 10.1038/nrmicro1852
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Bulow SE, 2010, DEEP-SEA RES PT I, V57, P384, DOI 10.1016/j.dsr.2009.10.014
Caranto JD, 2017, P NATL ACAD SCI USA, V114, P8217, DOI 10.1073/pnas.1704504114
Carini P, 2018, ENVIRON MICROBIOL, V20, P2112, DOI 10.1111/1462-2920.14107
Casciotti KL, 2001, APPL ENVIRON MICROB, V67, P2213, DOI 10.1128/AEM.67.5.2213-2221.2001
Church MJ, 2010, ENVIRON MICROBIOL, V12, P679, DOI 10.1111/j.1462-2920.2009.02108.x
Clifford EL, 2019, MICROB ECOL, V78, P299, DOI 10.1007/s00248-019-01320-y
CODISPOTI LA, 1985, MAR CHEM, V16, P277, DOI 10.1016/0304-4203(85)90051-9
Dalsgaard T, 2005, RES MICROBIOL, V156, P457, DOI 10.1016/j.resmic.2005.01.011
Dalsgaard T, 2014, MBIO, V5, DOI 10.1128/mBio.01966-14
Dalsgaard T, 2012, LIMNOL OCEANOGR, V57, P1331, DOI 10.4319/lo.2012.57.5.1331
Dang HY, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01246
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
Dang HY, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061330
Dang HY, 2010, APPL ENVIRON MICROB, V76, P7036, DOI 10.1128/AEM.01264-10
Dang HY, 2009, MICROB ECOL, V58, P161, DOI 10.1007/s00248-008-9469-5
De Brabandere L, 2014, ENVIRON MICROBIOL, V16, P3041, DOI 10.1111/1462-2920.12255
De Corte D, 2009, ISME J, V3, P147, DOI 10.1038/ismej.2008.94
DeLong E, 2006, PLOS BIOL, V4, P2412, DOI 10.1371/journal.pbio.0040437
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deutsch C, 2001, GLOBAL BIOGEOCHEM CY, V15, P483, DOI 10.1029/2000GB001291
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Freese HM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01659
Füssel J, 2012, ISME J, V6, P1200, DOI 10.1038/ismej.2011.178
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
Galán A, 2017, BIOGEOSCIENCES, V14, P4795, DOI 10.5194/bg-14-4795-2017
Galán A, 2012, PROG OCEANOGR, V92-95, P110, DOI 10.1016/j.pocean.2011.07.007
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Groussin M, 2011, MOL BIOL EVOL, V28, P2661, DOI 10.1093/molbev/msr098
Grundle DS, 2012, ATMOS OCEAN, V50, P475, DOI 10.1080/07055900.2012.727779
Hallam SJ, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.158
Hamersley MR, 2007, LIMNOL OCEANOGR, V52, P923, DOI 10.4319/lo.2007.52.3.0923
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hansell D., 2016, CTD BOTTLE DATA TOM
Hickey B., 2001, DERIVATIVE ENCY OCEA, V2nd ed., P368, DOI [10.1006/rwos.2001.0352, DOI 10.1006/RWOS.2001.0352]
Hood D. W., 1986, THE GULF OF ALASKA P, DOI [10.5962/bhl.title.60759, DOI 10.5962/BHL.TITLE.60759]
Huang S, 2011, BIOGEOSCIENCES, V8, P3041, DOI 10.5194/bg-8-3041-2011
Imhoff JF, 2016, MICROORGANISMS, V4, DOI 10.3390/microorganisms4020019
Jayakumar A, 2013, AQUAT MICROB ECOL, V70, P245, DOI 10.3354/ame01654
Jensen MM, 2011, ISME J, V5, P1660, DOI 10.1038/ismej.2011.44
Jetten MSM, 1998, FEMS MICROBIOL REV, V22, P421, DOI 10.1016/S0168-6445(98)00023-0
Kalvelage T, 2013, NAT GEOSCI, V6, P228, DOI [10.1038/ngeo1739, 10.1038/NGEO1739]
Kalvelage T, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0029299
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kartal B, 2007, ENVIRON MICROBIOL, V9, P635, DOI 10.1111/j.1462-2920.2006.01183.x
Kartal B, 2011, NATURE, V479, P127, DOI 10.1038/nature10453
Keeling RF, 2010, ANNU REV MAR SCI, V2, P199, DOI 10.1146/annurev.marine.010908.163855
Kerou M, 2016, P NATL ACAD SCI USA, V113, pE7937, DOI 10.1073/pnas.1601212113
Kock A, 2016, BIOGEOSCIENCES, V13, P827, DOI 10.5194/bg-13-827-2016
Kong LQ, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0059771, 10.1371/journal.pone.0078275]
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kozlowski JA, 2016, ISME J, V10, P1836, DOI 10.1038/ismej.2016.2
Kozlowski JA, 2014, APPL ENVIRON MICROB, V80, P4930, DOI 10.1128/AEM.01061-14
Kuypers MMM, 2018, NAT REV MICROBIOL, V16, P263, DOI 10.1038/nrmicro.2018.9
Kuypers MMM, 2005, P NATL ACAD SCI USA, V102, P6478, DOI 10.1073/pnas.0502088102
Ladd C, 2009, DEEP-SEA RES PT II, V56, P2460, DOI 10.1016/j.dsr2.2009.02.007
Lam P, 2011, ANNU REV MAR SCI, V3, P317, DOI 10.1146/annurev-marine-120709-142814
Langdon C., 2010, The GO-SHIP Repeat Hydrography Manual: A Collection of Expert Reports and Guidelines, DOI DOI 10.25607/OBP-1350
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
Letunic I, 2016, NUCLEIC ACIDS RES, V44, pW242, DOI 10.1093/nar/gkw290
Li M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9933
Lin ZG, 2006, P NATL ACAD SCI USA, V103, P10328, DOI 10.1073/pnas.0604232103
López-García P, 2001, FEMS MICROBIOL ECOL, V36, P193, DOI 10.1016/S0168-6496(01)00133-7
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Lund MB, 2012, ISME J, V6, P1966, DOI 10.1038/ismej.2012.40
Luo HW, 2014, ISME J, V8, P732, DOI 10.1038/ismej.2013.202
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Merbt SN, 2012, FEMS MICROBIOL LETT, V327, P41, DOI 10.1111/j.1574-6968.2011.02457.x
Molina V, 2010, ENVIRON MICROBIOL, V12, P2450, DOI 10.1111/j.1462-2920.2010.02218.x
Newell SE, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003940
Oshiki M, 2016, ENVIRON MICROBIOL, V18, P2784, DOI 10.1111/1462-2920.13134
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Penton CR, 2006, APPL ENVIRON MICROB, V72, P6829, DOI 10.1128/AEM.01254-06
Petri R, 2000, SYST APPL MICROBIOL, V23, P47, DOI 10.1016/S0723-2020(00)80045-4
Phillips CJ, 1999, APPL ENVIRON MICROB, V65, P779
Pitcher A, 2011, ISME J, V5, P1896, DOI 10.1038/ismej.2011.60
Purkhold U, 2000, APPL ENVIRON MICROB, V66, P5368, DOI 10.1128/AEM.66.12.5368-5382.2000
Qin W, 2014, P NATL ACAD SCI USA, V111, P12504, DOI 10.1073/pnas.1324115111
Quan ZX, 2008, ENVIRON MICROBIOL, V10, P3130, DOI 10.1111/j.1462-2920.2008.01642.x
Reji L, 2019, ISME J, V13, P1144, DOI 10.1038/s41396-018-0311-x
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Russ L, 2014, ENVIRON MICROBIOL, V16, P3487, DOI 10.1111/1462-2920.12487
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Santoro AE, 2017, LIMNOL OCEANOGR, V62, P1984, DOI 10.1002/lno.10547
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schmid M, 2000, SYST APPL MICROBIOL, V23, P93, DOI 10.1016/S0723-2020(00)80050-8
Schmid M, 2003, SYST APPL MICROBIOL, V26, P529, DOI 10.1078/072320203770865837
Schmid MC, 2008, ENVIRON MICROBIOL, V10, P3140, DOI 10.1111/j.1462-2920.2008.01732.x
Schmid MC, 2007, ENVIRON MICROBIOL, V9, P1476, DOI 10.1111/j.1462-2920.2007.01266.x
Shao SD, 2014, FEMS MICROBIOL ECOL, V87, P503, DOI 10.1111/1574-6941.12241
Shimamura M, 2007, APPL ENVIRON MICROB, V73, P1065, DOI 10.1128/AEM.01978-06
SILVER MW, 1978, SCIENCE, V201, P371, DOI 10.1126/science.201.4353.371
Simon J, 2013, BBA-BIOENERGETICS, V1827, P114, DOI 10.1016/j.bbabio.2012.07.005
Sintes E, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00077
Sintes E, 2013, ENVIRON MICROBIOL, V15, P1647, DOI 10.1111/j.1462-2920.2012.02801.x
Smith JM, 2016, LIMNOL OCEANOGR, V61, P596, DOI 10.1002/lno.10235
Smith JM, 2014, ISME J, V8, P1704, DOI 10.1038/ismej.2014.11
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Spang A, 2010, TRENDS MICROBIOL, V18, P331, DOI 10.1016/j.tim.2010.06.003
Stabeno PJ, 2004, CONT SHELF RES, V24, P859, DOI 10.1016/j.csr.2004.02.007
Stahl DA, 2012, ANNU REV MICROBIOL, V66, P83, DOI 10.1146/annurev-micro-092611-150128
Stein LY, 2011, METHOD ENZYMOL, V486, P131, DOI [10.1016/S0076-6879(11)86006-4, 10.1016/B978-0-12-381294-0.00006-7]
Steiner P. A., 2013, THESIS
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Strous M, 1999, NATURE, V400, P446, DOI 10.1038/22749
Strous M, 1998, APPL MICROBIOL BIOT, V50, P589, DOI 10.1007/s002530051340
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
Taylor JD, 2014, ISME J, V8, P245, DOI 10.1038/ismej.2013.178
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2006, LIMNOL OCEANOGR, V51, P2131, DOI 10.4319/lo.2006.51.5.2131
Thamdrup B, 2002, APPL ENVIRON MICROB, V68, P1312, DOI 10.1128/AEM.68.3.1312-1318.2002
Thole S, 2012, ISME J, V6, P2229, DOI 10.1038/ismej.2012.62
Tolar BB, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00237
Tolar BB, 2016, ISME J, V10, P2605, DOI 10.1038/ismej.2016.61
Treusch AH, 2005, ENVIRON MICROBIOL, V7, P1985, DOI 10.1111/j.1462-2920.2005.00906.x
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Vajrala N, 2013, P NATL ACAD SCI USA, V110, P1006, DOI 10.1073/pnas.1214272110
van de Vossenberg J, 2008, ENVIRON MICROBIOL, V10, P3120, DOI 10.1111/j.1462-2920.2008.01643.x
Varela MM, 2008, ENVIRON MICROBIOL, V10, P110, DOI 10.1111/j.1462-2920.2007.01437.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vetriani C, 2014, ISME J, V8, P1510, DOI 10.1038/ismej.2013.246
Villanueva L, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00031
Ward BB, 2009, NATURE, V461, P78, DOI 10.1038/nature08276
Ward BB, 1996, MICROB ECOL, V32, P247
Ward BB, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00553
Ward BB, 2011, NITRIFICATION, P325
Woebken D, 2008, ENVIRON MICROBIOL, V10, P3106, DOI 10.1111/j.1462-2920.2008.01640.x
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Zehr JP, 2002, APPL ENVIRON MICROB, V68, P1015, DOI 10.1128/AEM.68.3.1015-1024.2002
Zumft WG, 1997, MICROBIOL MOL BIOL R, V61, P533, DOI 10.1128/.61.4.533-616.1997
NR 157
TC 37
Z9 38
PD SEP 13
PY 2019
VL 10
AR 2141
DI 10.3389/fmicb.2019.02141
UT WOS:000485654200002
DA 2025-07-30
ER
PT J
AU Valdés, V
Carlotti, F
Escribano, R
Donoso, K
Pagano, M
Molina, V
Fernandez, C
AF Valdes, Valentina
Carlotti, Francois
Escribano, Ruben
Donoso, Katty
Pagano, Marc
Molina, Veronica
Fernandez, Camila
TI Nitrogen and phosphorus recycling mediated by copepods and response of
bacterioplankton community from three contrasting areas in the western
tropical South Pacific (20 °S)
SO BIOGEOSCIENCES
DT Article
AB Zooplankton play a key role in the regeneration of nitrogen and phosphorus in the ocean through grazing and metabolism. This study investigates the role of the organic and inorganic nitrogen and phosphorus compounds released by copepods on biogeochemical processes and on the microbial community composition during the OUTPACE cruise (18 February-3 April 2015) at three longduration stations (LD). Two LD stations were located in the Melanesian Archipelago region (MA; LD A and LD B) and one in the South Pacific Gyre (SG; LD C), which represent oligotrophic and ultra-oligotrophic regions respectively. At each station, on-board microcosm experiments were performed with locally sampled organisms, comprising a mix of epipelagic copepods fed with their natural food and then incubated along with wild microbial assemblages. In the presence of copepods, ammonium and dissolved organic nitrogen showed a significant increase compared to a control in two situations: in ammonium concentration (rate: 0.29 mu mol L-1 h(-1) after 4 h of incubation) in LD C and in dissolved organic nitrogen concentration (rate: 2.13 mu mol L-1 h(-1) after 0.5 h of incubation) in LD A. In addition, during the three experiments, an enhanced remineralization (ammonification and nitrification) was observed when adding copepods compared to the controls. A shift in the composition of the active bacterial community was observed for the experiments in LD A and LD B, which were mainly characterized by an increase in Alteromonadales and SAR11, respectively, and linked with changes in nutrient concentrations. In the experiment performed in LD C, both groups increased but at different periods of incubation. Alteromonadales increased between 1 and 2 h after the beginning of the experiment, and SAR 11 at the end of incubation. Our results in near in situ conditions show that copepods can be a source of organic and inorganic compounds for bacterial communities, which respond to excretion pulses at different timescales, depending on the initial environmental conditions and on their community composition. These processes can significantly contribute to nutrient recycling and regenerated production in the photic zone of ultra-oligotrophic and oligotrophic oceanic regions.
C1 [Valdes, Valentina] Univ Concepcion, Fac Ciencias Nat & Oceanog, Dept Oceanog, Programa Doctorado Oceanog, Concepcion, Chile.
[Valdes, Valentina; Fernandez, Camila] UPMC Univ Paris 06, Sorbonne Univ, Lab Oceanog Microbienne LOMIC, Observ Oceanol Banyuls Mer, F-66650 Banyuls Sur Mer, France.
[Carlotti, Francois; Donoso, Katty; Pagano, Marc] Univ Toulon & Var, Aix Marseille Univ, CNRS, IRD,OSU PYTHEAS,MIO,UM110, F-13288 Marseille 09, France.
[Escribano, Ruben] Univ Concepcion, Dept Oceanog, Concepcion, Chile.
[Escribano, Ruben] Univ Concepcion, Inst Milenio Oceanog, Concepcion, Chile.
[Molina, Veronica] Univ Playa Ancha, Dept Biol, Fac Ciencias Nat & Exactas, Valparaiso, Chile.
[Molina, Veronica] Univ Playa Ancha, Fac Ciencias Nat & Exactas, Programa Biodiversidad, Valparaiso, Chile.
[Fernandez, Camila] Univ Concepcion, FONDAP INCAR Ctr 15110027, Concepcion, Chile.
[Fernandez, Camila] Univ Concepcion, Dept Oceanog, COPAS Austral Program, PFB 31, Concepcion, Chile.
[Fernandez, Camila] Ctr FONDAP, Invest Dinam Ecosistemas Marinos Altas Latitudes, Valdivia, Chile.
RP Valdés, V (corresponding author), Univ Concepcion, Fac Ciencias Nat & Oceanog, Dept Oceanog, Programa Doctorado Oceanog, Concepcion, Chile.; Valdés, V (corresponding author), UPMC Univ Paris 06, Sorbonne Univ, Lab Oceanog Microbienne LOMIC, Observ Oceanol Banyuls Mer, F-66650 Banyuls Sur Mer, France.
EM vvaldesc@udec.cl
CR Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Aminot A., 2007, DOSAGE AUTOMATIQUE N
Aristegui J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089391
Bidigare R.R., 1983, P385
Bonnet S, 2017, P NATL ACAD SCI USA, V114, pE2800, DOI 10.1073/pnas.1619514114
Caffin M, 2018, BIOGEOSCIENCES, V15, P2565, DOI 10.5194/bg-15-2565-2018
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Carlotti F., 2015, BIOGEOSCIENCES DISCU, DOI [10.5194/bg-2017-573, DOI 10.5194/BG-2017-573]
Carpenter EJ, 2004, DEEP-SEA RES PT I, V51, P173, DOI 10.1016/j.dsr.2003.10.006
Conover RJ, 1999, MAR ECOL PROG SER, V179, P41, DOI 10.3354/meps179041
de Verneil A, 2018, BIOGEOSCIENCES, V15, P2125, DOI 10.5194/bg-15-2125-2018
Dupouy C, 2018, BIOGEOSCIENCES, V15, P5249, DOI 10.5194/bg-15-5249-2018
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
EPPLEY RW, 1973, LIMNOL OCEANOGR, V18, P534, DOI 10.4319/lo.1973.18.4.0534
Moller EF, 2007, LIMNOL OCEANOGR, V52, P79, DOI 10.4319/lo.2007.52.1.0079
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Hasegawa T, 2000, J EXP MAR BIOL ECOL, V244, P219, DOI 10.1016/S0022-0981(99)00145-8
Hernández-León S, 2008, J PLANKTON RES, V30, P577, DOI 10.1093/plankt/fbn021
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Ikeda T, 2001, MAR BIOL, V139, P587, DOI 10.1007/s002270100608
Isla JA, 2004, J PLANKTON RES, V26, P1301, DOI 10.1093/plankt/fbh121
JOHANNES RE, 1964, LIMNOL OCEANOGR, V9, P224, DOI 10.4319/lo.1964.9.2.0224
Karl D, 1997, NATURE, V388, P533, DOI 10.1038/41474
Landa M, 2013, AQUAT MICROB ECOL, V69, P157, DOI 10.3354/ame01632
Levipan HA, 2014, ENV MICROBIOL REP, V6, P565, DOI 10.1111/1758-2229.12158
Logue JB, 2016, ISME J, V10, P533, DOI 10.1038/ismej.2015.131
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Miller CA, 1998, J PLANKTON RES, V20, P1767, DOI 10.1093/plankt/20.9.1767
Miller CA, 2008, J EXP MAR BIOL ECOL, V359, P11, DOI 10.1016/j.jembe.2008.02.016
Moller EF, 2005, J PLANKTON RES, V27, P27, DOI 10.1093/plankt/fbh147
Moutin T, 2008, BIOGEOSCIENCES, V5, P95, DOI 10.5194/bg-5-95-2008
Moutin T, 2018, BIOGEOSCIENCES, V15, P2961, DOI 10.5194/bg-15-2961-2018
Moutin T, 2017, BIOGEOSCIENCES, V14, P3207, DOI 10.5194/bg-14-3207-2017
Mulholland MR, 2002, MAR ECOL PROG SER, V239, P45, DOI 10.3354/meps239045
Nelson CE, 2014, P NATL ACAD SCI USA, V111, P7166, DOI 10.1073/pnas.1405751111
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
PEDUZZI P, 1992, LIMNOL OCEANOGR, V37, P1087, DOI 10.4319/lo.1992.37.5.1087
Pérez-Aragón M, 2011, J EXP MAR BIOL ECOL, V406, P116, DOI 10.1016/j.jembe.2011.05.029
Polovina JJ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL031745
PUJOPAY M, 1994, MAR ECOL PROG SER, V105, P203, DOI 10.3354/meps105203
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raimbault P, 2008, BIOGEOSCIENCES, V5, P323, DOI 10.5194/bg-5-323-2008
Richardot M, 2001, J PLANKTON RES, V23, P1249, DOI 10.1093/plankt/23.11.1249
Saba GK, 2011, J EXP MAR BIOL ECOL, V404, P47, DOI 10.1016/j.jembe.2011.04.013
Saba GK, 2009, MAR ECOL PROG SER, V386, P147, DOI 10.3354/meps08070
Sarmento H, 2013, LIMNOL OCEANOGR, V58, P1123, DOI 10.4319/lo.2013.58.3.1123
SATOMI M, 1965, ECOLOGY, V46, P877, DOI 10.2307/1934025
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sipler RE, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P127, DOI 10.1016/B978-0-12-405940-5.00004-2
SMITH SL, 1977, DEEP-SEA RES, V24, P49, DOI 10.1016/0146-6291(77)90540-9
Steinberg DK, 2017, ANNU REV MAR SCI, V9, P413, DOI 10.1146/annurev-marine-010814-015924
Steinberg DK, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P1135, DOI 10.1016/B978-0-12-372522-6.00026-8
Steinberg DK, 2000, DEEP-SEA RES PT I, V47, P137, DOI 10.1016/S0967-0637(99)00052-7
Steinberg DK, 2002, DEEP-SEA RES PT I, V49, P1445, DOI 10.1016/S0967-0637(02)00037-7
Titelman J, 2008, AQUAT BIOL, V2, P131, DOI 10.3354/ab00042
Valdés V, 2018, LIMNOL OCEANOGR, V63, P278, DOI 10.1002/lno.10629
Valdés VP, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00343
Vargas CA, 2007, J MAR BIOL ASSOC UK, V87, P667, DOI 10.1017/S0025315407056275
NR 60
TC 13
Z9 13
PD OCT 15
PY 2018
VL 15
IS 20
BP 6019
EP 6032
DI 10.5194/bg-15-6019-2018
UT WOS:000447403800002
DA 2025-07-30
ER
PT J
AU Giebel, HA
Arnosti, C
Badewien, TH
Bakenhus, I
Balmonte, JP
Billerbeck, S
Dlugosch, L
Henkel, R
Kuerzel, B
Meyerjuergens, J
Milke, F
Voss, D
Wienhausen, G
Wietz, M
Winkler, H
Wolterink, M
Simon, M
AF Giebel, Helge-Ansgar
Arnosti, Carol
Badewien, Thomas H.
Bakenhus, Insa
Balmonte, John Paul
Billerbeck, Sara
Dlugosch, Leon
Henkel, Rohan
Kuerzel, Birgit
Meyerjuergens, Jens
Milke, Felix
Voss, Daniela
Wienhausen, Gerrit
Wietz, Matthias
Winkler, Holger
Wolterink, Mathias
Simon, Meinhard
TI Microbial Growth and Organic Matter Cycling in the Pacific Ocean Along a
Latitudinal Transect Between Subarctic and Subantarctic Waters
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB The Pacific Ocean constitutes about half of the global oceans and thus microbial processes in this ocean have a large impact on global elemental cycles. Despite several intensely studied regions large areas are still greatly understudied regarding microbial activities, organic matter cycling and biogeography. Refined information about these features is most important to better understand the significance of this ocean for global biogeochemical and elemental cycles. Therefore we investigated a suite of microbial and geochemical variables along a transect from the subantarctic to the subarctic Pacific in the upper 200 m of the water column. The aim was to quantify rates of organic matter processing, identify potential controlling factors and prokaryotic key players. The assessed variables included abundance of heterotrophic prokaryotes and cyanobacteria, heterotrophic prokaryotic production (HPP), turnover rate constants of amino acids, glucose, and acetate, leucine aminopeptidase and beta-glucosidase activities, and the composition of the bacterial community by fluorescence in situ hybridization (FISH). The additional quantification of nitrate, dissolved amino acids and carbohydrates, chlorophyll a, particulate organic carbon and nitrogen (POC, PON) provided a rich environmental context. The oligotrophic gyres exhibited the lowest prokaryotic abundances, rates of HPP and substrate turnover. Low nucleic acid prokaryotes dominated in these gyres, whereas in temperate and subpolar regions further north and south, high nucleic acid prokaryotes dominated. Turnover rate constants of glucose and acetate, as well as leucine aminopeptidase activity, increased from (sub)tropical toward the subpolar regions. In contrast, HPP and bulk growth rates were highest near the equatorial upwelling and lowest in the central gyres and subpolar regions. The SAR11 clade, the Roseobacter group and Flavobacteria constituted the majority of the prokaryotic communities. Vertical profiles of the biogeochemical and microbial variables markedly differed among the different regions and showed close covariations of the microbial variables and chlorophyll a, POC and PON. The results show that hydrographic, microbial, and biogeochemical properties exhibited distinct patterns reflecting the biogeographic provinces along the transect. The microbial variables assessed contribute to a better and refined understanding of the scales of microbial organic matter processing in large areas of the epipelagic Pacific beyond its well-studied regions.
C1 [Giebel, Helge-Ansgar; Badewien, Thomas H.; Bakenhus, Insa; Billerbeck, Sara; Dlugosch, Leon; Henkel, Rohan; Kuerzel, Birgit; Meyerjuergens, Jens; Milke, Felix; Voss, Daniela; Wienhausen, Gerrit; Wietz, Matthias; Winkler, Holger; Wolterink, Mathias; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.
[Arnosti, Carol; Balmonte, John Paul] Univ N Carolina, Dept Marine Sci, Chapel Hill, NC 27515 USA.
[Simon, Meinhard] Univ Oldenburg HIFMB, Helmholtz Inst Funct Marine Biodivers, Oldenburg, Germany.
[Balmonte, John Paul] Univ Southern Denmark, Dept Biol, HADAL & NordCEE, Odense, Denmark.
[Wietz, Matthias] Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Bremerhaven, Germany.
RP Simon, M (corresponding author), Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm, Oldenburg, Germany.; Simon, M (corresponding author), Univ Oldenburg HIFMB, Helmholtz Inst Funct Marine Biodivers, Oldenburg, Germany.
EM m.simon@icbm.de
CR Alonso-Sáez L, 2012, LIMNOL OCEANOGR, V57, P798, DOI 10.4319/lo.2012.57.3.0798
Arnosti C., 2020, MICROBIAL ENZYME ACT, DOI [10.26008/1912/bco-dmo.743320, DOI 10.26008/1912/BCO-DMO.743320]
Arnosti Carol, 2020, WHOAS, DOI 10.26008/1912/bco-dmo.743054.1
Arnosti Carol, 2020, WHOAS, DOI 10.26008/1912/bco-dmo.743274.1
Arnosti Carol, 2020, WHOAS, DOI 10.26008/1912/bco-dmo.743224.1
Arnosti C, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028900
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Badewien Thomas H, 2016, PANGAEA, DOI 10.1594/PANGAEA.864673
Bakenhus I, 2018, ENVIRON MICROBIOL, V20, P3100, DOI 10.1111/1462-2920.14383
Bakenhus I, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01771
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Balmonte JP, 2021, LIMNOL OCEANOGR, V66, P3489, DOI 10.1002/lno.11894
Ben Francis T, 2021, ISME J, V15, P2336, DOI 10.1038/s41396-021-00928-8
Brinkmeyer R, 2000, EUR J PHYCOL, V35, P315, DOI 10.1017/S096702620000295X
Bunse C, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03296
Church MJ, 2006, AQUAT MICROB ECOL, V45, P41, DOI 10.3354/ame045041
Cottrell MT, 2016, APPL ENVIRON MICROB, V82, P6010, DOI 10.1128/AEM.01299-16
Ducklow HW, 1999, FEMS MICROBIOL ECOL, V30, P1, DOI 10.1111/j.1574-6941.1999.tb00630.x
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giebel Helge-Ansgar, 2020, PANGAEA, DOI 10.1594/PANGAEA.918500
Giebel HA, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz050
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Grosse J, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01299
Hahnke S, 2013, FEMS MICROBIOL ECOL, V86, P185, DOI 10.1111/1574-6941.12151
Hayes CT, 2014, EARTH PLANET SC LETT, V391, P307, DOI 10.1016/j.epsl.2014.02.001
Ho TY, 2002, LIMNOL OCEANOGR, V47, P1119, DOI 10.4319/lo.2002.47.4.1119
Hoppe HG, 2002, NATURE, V416, P168, DOI 10.1038/416168a
Karl DM, 2017, ECOSYSTEMS, V20, P433, DOI 10.1007/s10021-017-0117-0
Karl DM, 2014, NAT REV MICROBIOL, V12, P699, DOI 10.1038/nrmicro3333
Kattner G, 1999, MAR CHEM, V67, P61, DOI 10.1016/S0304-4203(99)00049-3
KEIL RG, 1991, MAR ECOL PROG SER, V73, P1, DOI 10.3354/meps073001
Keil RG, 1999, AQUAT MICROB ECOL, V18, P293, DOI 10.3354/ame018293
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kirchman DL, 2001, DEEP-SEA RES PT II, V48, P4179, DOI 10.1016/S0967-0645(01)00085-6
KIRCHMAN DL, 1993, DEEP-SEA RES PT I, V40, P967, DOI 10.1016/0967-0637(93)90084-G
Kong J, 2021, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.599614
Longhurst AlanR., 2007, EC GEOGR SEA 2 ED, VSecond
Longnecker K, 2010, AQUAT MICROB ECOL, V58, P153, DOI 10.3354/ame01366
Lunau M, 2006, LIMNOL OCEANOGR, V51, P847, DOI 10.4319/lo.2006.51.2.0847
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Milici M, 2016, SCI REP-UK, V6, DOI 10.1038/srep19054
MOPPER K, 1992, ENVIRON SCI TECHNOL, V26, P133, DOI 10.1021/es00025a014
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Nagata T, 2000, LIMNOL OCEANOGR, V45, P426, DOI 10.4319/lo.2000.45.2.0426
Oksanen Jari, 2024, CRAN
Pohlner M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02550
Polovina JJ, 2001, PROG OCEANOGR, V49, P469, DOI 10.1016/S0079-6611(01)00036-2
R Core Team, 2018, R LANG ENV STAT COMP
Raes EJ, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22409-4
Raes EJ, 2018, P NATL ACAD SCI USA, V115, pEB266, DOI 10.1073/pnas.1719335115
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reintjes G, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00184-19
Reintjes G, 2019, ISME J, V13, P1119, DOI 10.1038/s41396-018-0326-3
Ribeiro CGE, 2016, LIMNOL OCEANOGR-METH, V14, P750, DOI 10.1002/lom3.10135
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Schlitzer R., 2015, Can. Meteorlogical Oceanogr. Soc, P9
Schnetger B, 2014, MAR CHEM, V160, P91, DOI 10.1016/j.marchem.2014.01.010
Shin KH, 2000, MAR CHEM, V70, P243, DOI 10.1016/S0304-4203(00)00030-X
Simon M, 2004, LIMNOL OCEANOGR, V49, P1035, DOI 10.4319/lo.2004.49.4.1035
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
SIMON M, 1991, MAR ECOL PROG SER, V74, P295, DOI 10.3354/meps074295
Simon M, 2007, LIMNOL OCEANOGR, V52, P85, DOI 10.4319/lo.2007.52.1.0085
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tada Y, 2013, POLAR BIOL, V36, P691, DOI 10.1007/s00300-013-1294-8
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Tremblay JE, 2002, DEEP-SEA RES PT II, V49, P3793, DOI 10.1016/S0967-0645(02)00111-X
Wilson SE, 2010, DEEP-SEA RES PT I, V57, P1278, DOI 10.1016/j.dsr.2010.07.005
Yokokawa T, 2013, LIMNOL OCEANOGR, V58, P61, DOI 10.4319/lo.2013.58.1.0061
Zielinski Oliver, 2018, PANGAEA, DOI 10.1594/PANGAEA.890453
Zubkov MV, 2008, J PLANKTON RES, V30, P211, DOI 10.1093/plankt/fbm091
Zubkov MV, 2000, J PLANKTON RES, V22, P685, DOI 10.1093/plankt/22.4.685
NR 78
TC 10
Z9 10
PD DEC 13
PY 2021
VL 8
AR 764383
DI 10.3389/fmars.2021.764383
UT WOS:000735587400001
DA 2025-07-30
ER
PT J
AU Isaac, A
Mohamed, AR
Amin, SA
AF Isaac, Ashley
Mohamed, Amin R.
Amin, Shady A.
TI Rhodobacteraceae are key players in microbiome assembly of the
diatom Asterionellopsis glacialis
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The complex interactions between bacterioplankton and phytoplankton have prompted numerous studies that investigate phytoplankton microbiomes with the aim of characterizing beneficial or opportunistic taxa and elucidating core bacterial members. Oftentimes, this knowledge is garnered through 16S rRNA gene profiling of microbiomes from phytoplankton isolated across spatial and temporal scales, yet these studies do not offer insight into microbiome assembly and structuring. In this study, we aimed to identify taxa central to structuring and establishing the microbiome of the ubiquitous diatom Asterionellopsis glacialis. We introduced a diverse environmental bacterial community to A. glacialis in nutrient-rich or nutrient-poor media in a continuous dilution culture setup and profiled the bacterial community over 7 days. 16S rRNA amplicon sequencing showed that cyanobacteria (Coleofasciculaceae) and Rhodobacteraceae dominate the microbiome early on and maintain a persistent association throughout the experiment. Differential abundance, co-abundance networks, and differential association analyses revealed that specific members of the family Rhodobacteraceae, particularly Sulfitobacter amplicon sequence variants, become integral members in microbiome assembly. In the presence of the diatom, Sulfitobacter species and other Rhodobacteraceae developed positive associations with taxa that are typically in high abundance in marine ecosystems (Pelagibacter and Synechococcus), leading to restructuring of the microbiome compared to diatom-free controls. These positive associations developed predominantly under oligotrophic conditions, highlighting the importance of investigating phytoplankton microbiomes in as close to natural conditions as possible to avoid biases that develop under routine laboratory conditions. These findings offer further insight into phytoplankton-bacteria interactions and illustrate the importance of Rhodobacteraceae, not merely as phytoplankton symbionts but as key taxa involved in microbiome assembly. IMPORTANCE Most, if not all, microeukaryotic organisms harbor an associated microbial community, termed the microbiome. The microscale interactions that occur between these partners have global-scale consequences, influencing marine primary productivity, carbon cycling, and harmful algal blooms to name but a few. Over the last decade, there has been a growing interest in the study of phytoplankton microbiomes, particularly within the context of bloom dynamics. However, long-standing questions remain regarding the process of phytoplankton microbiome assembly. The significance of our research is to tease apart the mechanism of microbiome assembly with a particular focus on identifying bacterial taxa, which may not merely be symbionts but architects of the phytoplankton microbiome. Our results strengthen the understanding of the ecological mechanisms that underpin phytoplankton-bacteria interactions in order to accurately predict marine ecosystem responses to environmental perturbations.
C1 [Isaac, Ashley; Mohamed, Amin R.; Amin, Shady A.] New York Univ Abu Dhabi, Biol Program, Marine Microbi Lab, Abu Dhabi, U Arab Emirates.
[Isaac, Ashley] Max Planck Inst Marine Microbiol, Dept Mol Ecol, Bremen, Germany.
[Amin, Shady A.] New York Univ Abu Dhabi, Ctr Genom & Syst Biol, Abu Dhabi, U Arab Emirates.
[Amin, Shady A.] New York Univ Abu Dhabi, Mubadala ACCESS Ctr, Abu Dhabi, U Arab Emirates.
RP Amin, SA (corresponding author), New York Univ Abu Dhabi, Biol Program, Marine Microbi Lab, Abu Dhabi, U Arab Emirates.; Amin, SA (corresponding author), New York Univ Abu Dhabi, Ctr Genom & Syst Biol, Abu Dhabi, U Arab Emirates.; Amin, SA (corresponding author), New York Univ Abu Dhabi, Mubadala ACCESS Ctr, Abu Dhabi, U Arab Emirates.
EM samin@nyu.edu
CR Ahern OM, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2105207118
Ajani PA, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02758
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
Azam F, 2001, NATURE, V414, P495, DOI 10.1038/35107174
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Banerjee S, 2018, NAT REV MICROBIOL, V16, P567, DOI 10.1038/s41579-018-0024-1
Behringer G, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00659
Beiralas R, 2023, ISME COMMUN, V3, DOI 10.1038/s43705-023-00311-y
Bidle KD, 2002, SCIENCE, V298, P1980, DOI 10.1126/science.1076076
Bromke MA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0138965
Bromke MA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0067340
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Burke C, 2011, P NATL ACAD SCI USA, V108, P14288, DOI 10.1073/pnas.1101591108
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Camarena-Gómez MT, 2018, AQUAT MICROB ECOL, V81, P149, DOI 10.3354/ame01868
Cao Y, 2022, BIOINFORMATICS, V38, P4027, DOI 10.1093/bioinformatics/btac438
COLE JJ, 1982, ANNU REV ECOL SYST, V13, P291, DOI 10.1146/annurev.es.13.110182.001451
Cooper MB, 2019, ISME J, V13, P334, DOI 10.1038/s41396-018-0274-y
Couradeau E, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0661-2
Crowther GS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0088396
Debray R, 2022, NAT REV MICROBIOL, V20, P109, DOI 10.1038/s41579-021-00604-w
Dittmann KK, 2019, ENV MICROBIOL REP, V11, P401, DOI 10.1111/1758-2229.12698
Dumbrell AJ, 2010, ISME J, V4, P337, DOI 10.1038/ismej.2009.122
Durham BP, 2015, P NATL ACAD SCI USA, V112, P453, DOI 10.1073/pnas.1413137112
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Enke TN, 2019, CURR BIOL, V29, P1528, DOI 10.1016/j.cub.2019.03.047
Faust K, 2012, NAT REV MICROBIOL, V10, P538, DOI 10.1038/nrmicro2832
Fei C, 2020, ENVIRON MICROBIOL, V22, P4761, DOI 10.1111/1462-2920.15228
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Foster RA, 2022, ISME J, V16, P477, DOI 10.1038/s41396-021-01086-7
Foster RA, 2011, ISME J, V5, P1484, DOI 10.1038/ismej.2011.26
Fu H, 2020, P NATL ACAD SCI USA, V117, P3656, DOI 10.1073/pnas.1917265117
Green DH, 2015, BIOMED RES INT, V2015, DOI 10.1155/2015/194540
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Guerra LT, 2013, BIOMASS BIOENERG, V59, P306, DOI 10.1016/j.biombioe.2013.10.007
Hahnke RL, 2015, ENVIRON MICROBIOL, V17, P3515, DOI 10.1111/1462-2920.12479
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Herren CM, 2018, ENVIRON MICROBIOL, V20, P2207, DOI 10.1111/1462-2920.14257
Hold GL, 2001, FEMS MICROBIOL ECOL, V37, P161, DOI 10.1111/j.1574-6941.2001.tb00864.x
Hubbell SP, 2006, ECOLOGY, V87, P1387, DOI 10.1890/0012-9658(2006)87[1387:NTATEO]2.0.CO;2
Isaac A, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.718297
Jackrel SL, 2021, ISME J, V15, P774, DOI 10.1038/s41396-020-00812-x
Johansson ON, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01828
Jürgens K, 1999, APPL ENVIRON MICROB, V65, P1241
Kieft B, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2101178118
Kimbrel JA, 2019, ALGAL RES, V40, DOI 10.1016/j.algal.2019.101489
Kirchman DL, 2016, AQUAT MICROB ECOL, V78, P93, DOI 10.3354/ame01805
Kurtz ZD, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004226
LARSSON U, 1979, MAR BIOL, V52, P199, DOI 10.1007/BF00398133
Latysheva N, 2012, BIOINFORMATICS, V28, P603, DOI 10.1093/bioinformatics/bts008
Lépinay A, 2016, ALGAL RES, V16, P418, DOI 10.1016/j.algal.2016.04.011
Li F, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00187
Liang KYH, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.683109
Liu HW, 2019, TRENDS ECOL EVOL, V34, P1118, DOI 10.1016/j.tree.2019.07.011
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
Louca S, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0420-9
Majzoub ME, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz060
McDonald JAK, 2013, J MICROBIOL METH, V95, P167, DOI 10.1016/j.mimet.2013.08.008
Mönnich J, 2020, ISME J, V14, P1614, DOI 10.1038/s41396-020-0631-5
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Fernandes VMC, 2021, J PHYCOL, V57, P1563, DOI 10.1111/jpy.13199
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Mühlenbruch M, 2018, ENVIRON MICROBIOL, V20, P2671, DOI 10.1111/1462-2920.14302
Nelson C, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00199-0
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Peschel S, 2021, BRIEF BIOINFORM, V22, DOI 10.1093/bib/bbaa290
Ponce-Soto GY, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00246
Poulsen CS, 2022, MICROBIOL SPECTR, V10, DOI 10.1128/spectrum.00090-22
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raatz M, 2018, LIMNOL OCEANOGR-METH, V16, P629, DOI 10.1002/lom3.10269
Rampelotto PH, 2015, MICROB ECOL, V69, P684, DOI 10.1007/s00248-014-0510-6
Ruhnau B, 2000, SOC NETWORKS, V22, P357, DOI 10.1016/S0378-8733(00)00031-9
SALE PF, 1979, OECOLOGIA, V42, P159, DOI 10.1007/BF00344855
SALE PF, 1976, NAT HIST, V85, P60
Sapp M, 2007, APPL ENVIRON MICROB, V73, P3117, DOI 10.1128/AEM.02274-06
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shibl AA, 2020, P NATL ACAD SCI USA, V117, P27445, DOI 10.1073/pnas.2012088117
Siegesmund MA, 2008, J PHYCOL, V44, P1572, DOI 10.1111/j.1529-8817.2008.00604.x
Sloan WT, 2006, ENVIRON MICROBIOL, V8, P732, DOI 10.1111/j.1462-2920.2005.00956.x
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Smith S., 2019, J. Open Source Softw, V4, P1442, DOI [DOI 10.21105/JOSS.01442, 10.21105/joss.01442]
Smriga S, 2016, P NATL ACAD SCI USA, V113, P1576, DOI 10.1073/pnas.1512307113
Sörenson E, 2019, ENV MICROBIOL REP, V11, P425, DOI 10.1111/1758-2229.12736
Stock W, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00091-x
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Theil Sebastien, 2021, F1000Res, V10, P7, DOI 10.12688/f1000research.27268.1
Vitousek PM, 2002, BIOGEOCHEMISTRY, V57, P1, DOI 10.1023/A:1015798428743
Wang FQ, 2024, MICROBIOME, V12, DOI 10.1186/s40168-024-01757-5
Wickham Helena, 2016, BMJ, V354, ph6200, DOI 10.1136/sbmj.h6200
WILLIAMS P J I, 1981, Kieler Meeresforschungen, P1
Woodcock S, 2007, FEMS MICROBIOL ECOL, V62, P171, DOI 10.1111/j.1574-6941.2007.00379.x
Zhou J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01201
Zhou JZ, 2017, MICROBIOL MOL BIOL R, V81, DOI 10.1128/MMBR.00002-17
NR 99
TC 5
Z9 5
PD JUN 18
PY 2024
VL 90
IS 6
DI 10.1128/aem.00570-24
EA MAY 2024
UT WOS:001234672300004
DA 2025-07-30
ER
PT J
AU Wang, FQ
Bartosik, D
Sidhu, C
Siebers, R
Lu, DC
Trautwein-Schult, A
Becher, D
Huettel, B
Rick, J
Kirstein, IV
Wiltshire, KH
Schweder, T
Fuchs, BM
Bengtsson, MM
Teeling, H
Amann, RI
AF Wang, Feng-Qing
Bartosik, Daniel
Sidhu, Chandni
Siebers, Robin
Lu, De-Chen
Trautwein-Schult, Anke
Becher, Doerte
Huettel, Bruno
Rick, Johannes
Kirstein, Inga V.
Wiltshire, Karen H.
Schweder, Thomas
Fuchs, Bernhard M.
Bengtsson, Mia M.
Teeling, Hanno
Amann, Rudolf I.
TI Particle-attached bacteria act as gatekeepers in the decomposition of
complex phytoplankton polysaccharides
SO MICROBIOME
DT Article
AB Background Marine microalgae (phytoplankton) mediate almost half of the worldwide photosynthetic carbon dioxide fixation and therefore play a pivotal role in global carbon cycling, most prominently during massive phytoplankton blooms. Phytoplankton biomass consists of considerable proportions of polysaccharides, substantial parts of which are rapidly remineralized by heterotrophic bacteria. We analyzed the diversity, activity, and functional potential of such polysaccharide-degrading bacteria in different size fractions during a diverse spring phytoplankton bloom at Helgoland Roads (southern North Sea) at high temporal resolution using microscopic, physicochemical, biodiversity, metagenome, and metaproteome analyses. Results Prominent active 0.2-3 mu m free-living clades comprised Aurantivirga, "Formosa", Cd. Prosiliicoccus, NS4, NS5, Amylibacter, Planktomarina, SAR11 Ia, SAR92, and SAR86, whereas BD1-7, Stappiaceae, Nitrincolaceae, Methylophagaceae, Sulfitobacter, NS9, Polaribacter, Lentimonas, CL500-3, Algibacter, and Glaciecola dominated 3-10 mu m and > 10 mu m particles. Particle-attached bacteria were more diverse and exhibited more dynamic adaptive shifts over time in terms of taxonomic composition and repertoires of encoded polysaccharide-targeting enzymes. In total, 305 species-level metagenome-assembled genomes were obtained, including 152 particle-attached bacteria, 100 of which were novel for the sampling site with 76 representing new species. Compared to free-living bacteria, they featured on average larger metagenome-assembled genomes with higher proportions of polysaccharide utilization loci. The latter were predicted to target a broader spectrum of polysaccharide substrates, ranging from readily soluble, simple structured storage polysaccharides (e.g., laminarin, alpha-glucans) to less soluble, complex structural, or secreted polysaccharides (e.g., xylans, cellulose, pectins). In particular, the potential to target poorly soluble or complex polysaccharides was more widespread among abundant and active particle-attached bacteria. Conclusions Particle-attached bacteria represented only 1% of all bloom-associated bacteria, yet our data suggest that many abundant active clades played a pivotal gatekeeping role in the solubilization and subsequent degradation of numerous important classes of algal glycans. The high diversity of polysaccharide niches among the most active particle-attached clades therefore is a determining factor for the proportion of algal polysaccharides that can be rapidly remineralized during generally short-lived phytoplankton bloom events.
C1 [Wang, Feng-Qing; Sidhu, Chandni; Lu, De-Chen; Fuchs, Bernhard M.; Teeling, Hanno; Amann, Rudolf I.] Max Planck Inst Marine Microbiol, Celsiusstr 1, D-28359 Bremen, Germany.
[Bartosik, Daniel; Schweder, Thomas] Univ Greifswald, Inst Pharm, Felix Hausdorff Str 3, D-17489 Greifswald, Germany.
[Bartosik, Daniel; Schweder, Thomas] Inst Marine Biotechnol, Walther Rathenau Str 49a, D-17489 Greifswald, Germany.
[Siebers, Robin; Trautwein-Schult, Anke; Becher, Doerte; Bengtsson, Mia M.] Univ Greifswald, Inst Microbiol, Felix Hausdorff Str 8, D-17489 Greifswald, Germany.
[Lu, De-Chen] Shandong Univ, Marine Coll, Weihai 264209, Peoples R China.
[Huettel, Bruno] Max Planck Genome Ctr Cologne, Carl von Linne Weg 10, D-50829 Cologne, Germany.
[Rick, Johannes; Kirstein, Inga V.; Wiltshire, Karen H.] Alfred Wegener Inst Polar & Marine Res, Biol Anstalt Helgoland, D-27483 Helgoland, Germany.
RP Teeling, H; Amann, RI (corresponding author), Max Planck Inst Marine Microbiol, Celsiusstr 1, D-28359 Bremen, Germany.; Bengtsson, MM (corresponding author), Univ Greifswald, Inst Microbiol, Felix Hausdorff Str 8, D-17489 Greifswald, Germany.
EM mia.bengtsson@uni-greifswald.de; hteeling@mpi-bremen.de;
ramann@mpi-bremen.de
CR Abraham W., 2014, The Prokaryotes, P283, DOI [DOI 10.1007/978-3-642-30197-1, 10.1007/978-3-642-30197-1_396, DOI 10.1007/978-3-642-30197-1_396, 10.1007/978-3-642-30197-1_260, DOI 10.1007/978-3-642-30197-1_260]
Abraham WR, 1999, INT J SYST BACTERIOL, V49, P1053, DOI 10.1099/00207713-49-3-1053
Aguirre EG, 2023, MICROBIOL RESOUR ANN, V12, DOI 10.1128/mra.01118-22
Alderkamp AC, 2007, BIOGEOCHEMISTRY, V83, P99, DOI 10.1007/s10533-007-9078-2
Almeida A, 2019, NATURE, V568, P499, DOI 10.1038/s41586-019-0965-1
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Andrews S., 2010, FAST QC QUALITY CONT
Armonies W, 2018, HELGOLAND MAR RES, V72, DOI 10.1186/s10152-018-0512-8
Arrigo KR, 1999, SCIENCE, V283, P365, DOI 10.1126/science.283.5400.365
Avci B, 2020, ISME J, V14, P1369, DOI 10.1038/s41396-020-0601-y
Avci B, 2017, ENVIRON MICROBIOL, V19, P1209, DOI 10.1111/1462-2920.13646
Azúa I, 2003, J PLANKTON RES, V25, P1451, DOI 10.1093/plankt/fbg105
Babiak W, 2021, ENERGIES, V14, DOI 10.3390/en14134007
Baïet B, 2011, J BIOL CHEM, V286, P6152, DOI 10.1074/jbc.M110.175711
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Becker S, 2020, P NATL ACAD SCI USA, V117, P6599, DOI 10.1073/pnas.1917001117
Ben Francis T, 2021, ISME J, V15, P2336, DOI 10.1038/s41396-021-00928-8
Ben Francis T, 2019, SYST APPL MICROBIOL, V42, P41, DOI 10.1016/j.syapm.2018.08.007
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bligh M, 2022, CURR OPIN CHEM BIOL, V71, DOI 10.1016/j.cbpa.2022.102204
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Briliute J, 2019, NAT MICROBIOL, V4, P1571, DOI 10.1038/s41564-019-0466-x
Brown HA, 2021, GLYCOBIOLOGY, V31, P697, DOI 10.1093/glycob/cwaa054
Bunse C, 2021, ENVIRON MICROBIOL, V23, P3130, DOI 10.1111/1462-2920.15536
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Chen JC, 2021, MAR DRUGS, V19, DOI 10.3390/md19100576
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Couceiro JF, 2021, MICROBIOL RESOUR ANN, V10, DOI 10.1128/MRA.00320-21
De La Rocha CL, 2007, DEEP-SEA RES PT II, V54, P639, DOI 10.1016/j.dsr2.2007.01.004
Deusch S, 2015, PROTEOMICS, V15, P3590, DOI 10.1002/pmic.201400556
Di Martino P, 2018, AIMS MICROBIOL, V4, P274, DOI 10.3934/microbiol.2018.2.274
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Fernández-Méndez M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107452
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Francis B, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00385-y
Garvette A, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02918
Giering SLC, 2014, NATURE, V507, P480, DOI 10.1038/nature13123
Glenwright AJ, 2017, NATURE, V541, P407, DOI 10.1038/nature20828
Gügi B, 2015, MAR DRUGS, V13, P5993, DOI 10.3390/md13095993
Gurevich A, 2013, BIOINFORMATICS, V29, P1072, DOI 10.1093/bioinformatics/btt086
Hahnke RL, 2015, ENVIRON MICROBIOL, V17, P3515, DOI 10.1111/1462-2920.12479
HECKY RE, 1973, MAR BIOL, V19, P323, DOI 10.1007/BF00348902
Hehemann JH, 2010, NATURE, V464, P908, DOI 10.1038/nature08937
Heins A, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.643730
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hersbach H., 2018, Copernicus Climate Change Service, DOI [10.24381/cds.bd0915c6, 10.24381]
Hillebrand H, 1999, J PHYCOL, V35, P403, DOI 10.1046/j.1529-8817.1999.3520403.x
Holert J, 2018, MBIO, V9, DOI 10.1128/mBio.02345-17
Hu XJ, 2022, FISHES-BASEL, V7, DOI 10.3390/fishes7040191
Huang GY, 2021, LIMNOL OCEANOGR, V66, P3768, DOI 10.1002/lno.11917
Humann J, 2009, J INNATE IMMUN, V1, P88, DOI 10.1159/000181181
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Inomura K., 2023, Microbiol. Spectr
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Jeong SE, 2017, INT J SYST EVOL MICR, V67, P3877, DOI 10.1099/ijsem.0.002215
Karimi E, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-38737-x
Kavagutti VS, 2023, MICROBIOME, V11, DOI 10.1186/s40168-022-01451-4
Kitayama K, 2007, AQUAT MICROB ECOL, V46, P85, DOI 10.3354/ame046085
Koch H, 2019, ISME J, V13, P92, DOI 10.1038/s41396-018-0252-4
Köster M, 2011, J PLANKTON RES, V33, P1538, DOI 10.1093/plankt/fbr053
Kolmogorov M, 2020, NAT METHODS, V17, P1103, DOI 10.1038/s41592-020-00971-x
Kraberg A, 2019, HELGOLAND MAR RES, V73, DOI 10.1186/s10152-019-0528-8
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Lancelot C, 2007, J MARINE SYST, V64, P216, DOI 10.1016/j.jmarsys.2006.03.010
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Laslett D, 2004, NUCLEIC ACIDS RES, V32, P11, DOI 10.1093/nar/gkh152
Le Costaouëc T, 2017, ALGAL RES, V26, P172, DOI 10.1016/j.algal.2017.07.021
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Leu AO, 2022, MBIO, V13, DOI 10.1128/mbio.01569-22
Li DH, 2016, METHODS, V102, P3, DOI 10.1016/j.ymeth.2016.02.020
Löder MGJ, 2012, HELGOLAND MAR RES, V66, P11, DOI 10.1007/s10152-010-0242-z
Lu DC, 2023, MICROBIOME, V11, DOI 10.1186/s40168-023-01559-1
Lucas J, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv099
MANN DG, 1989, PLANT SYST EVOL, V164, P215, DOI 10.1007/BF00940439
Marecek F, 2021, 3 BIOTECH, V11, DOI 10.1007/s13205-021-02787-8
Mayzaud P, 1998, J MARINE SYST, V15, P483, DOI 10.1016/S0924-7963(97)00039-0
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Mócsai R, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-36884-1
Mühlenbruch M, 2018, ENVIRON MICROBIOL, V20, P2671, DOI 10.1111/1462-2920.14302
MYKLESTAD S, 1974, J EXP MAR BIOL ECOL, V15, P261, DOI 10.1016/0022-0981(74)90049-5
MYKLESTAD S M, 1988, Biological Oceanography, V6, P313
Nowicki M, 2022, GLOBAL BIOGEOCHEM CY, V36, DOI 10.1029/2021GB007083
Okazaki Y, 2017, ISME J, V11, P2279, DOI 10.1038/ismej.2017.89
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Orellana LH, 2022, ISME J, V16, P630, DOI 10.1038/s41396-021-01105-7
Orellana LH, 2019, ISME J, V13, P3024, DOI 10.1038/s41396-019-0491-z
Paix B, 2019, ENVIRON MICROBIOL, V21, P3346, DOI 10.1111/1462-2920.14617
Parks DH, 2020, NAT BIOTECHNOL, V38, P1079, DOI 10.1038/s41587-020-0501-8
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Patel AK, 2023, PHYTOCHEM REV, V22, P1167, DOI 10.1007/s11101-021-09799-5
Perez-Riverol Y, 2022, NUCLEIC ACIDS RES, V50, pD543, DOI 10.1093/nar/gkab1038
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Ren YH, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.923295
Rho MN, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq747
Rohr T, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-00871-w
Schmoker C, 2013, J PLANKTON RES, V35, P691, DOI 10.1093/plankt/fbt023
Schnepf E, 2000, HELGOLAND MAR RES, V54, P18, DOI 10.1007/s101520050032
Scholz B, 2016, FUNGAL ECOL, V19, P59, DOI 10.1016/j.funeco.2015.09.002
Schultz D, 2020, ENV MICROBIOL REP, V12, P367, DOI 10.1111/1758-2229.12842
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Shnyukova E. I., 2017, International Journal on Algae, V19, P5, DOI 10.1615/InterJAlgae.v19.i1.10
Sichert A, 2020, NAT MICROBIOL, V5, P1026, DOI 10.1038/s41564-020-0720-2
Sidhu C, 2023, MICROBIOME, V11, DOI 10.1186/s40168-023-01517-x
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Suzuki T, 2000, INT J SYST EVOL MICR, V50, P2151, DOI 10.1099/00207713-50-6-2151
Tamames J, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03349
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thiele S, 2023, PROG OCEANOGR, V215, DOI 10.1016/j.pocean.2023.103054
Thornton DCO, 2002, EUR J PHYCOL, V37, P149, DOI 10.1017/S0967026202003657
Tirelli V, 2005, J PLANKTON RES, V27, P557, DOI 10.1093/plankt/fbi031
Tivey TR, 2020, MICROB ECOL, V80, P223, DOI 10.1007/s00248-020-01487-9
Turley CM, 2000, LIMNOL OCEANOGR, V45, P419, DOI 10.4319/lo.2000.45.2.0419
Vargas CA, 2007, J MAR BIOL ASSOC UK, V87, P667, DOI 10.1017/S0025315407056275
Vidal-Melgosa S, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21009-6
Vincent F, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-36049-3
WEISSE T, 1994, J MARINE SYST, V5, P67, DOI 10.1016/0924-7963(94)90017-5
Wemheuer B, 2014, FEMS MICROBIOL ECOL, V87, P378, DOI 10.1111/1574-6941.12230
White JBR, 2023, NATURE, V618, DOI 10.1038/s41586-023-06146-w
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Wiltshire KH, 2010, ESTUAR COAST, V33, P295, DOI 10.1007/s12237-009-9228-y
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Yoo JH, 2022, INT J SYST EVOL MICR, V72, DOI 10.1099/ijsem.0.005470
Yu XP, 2021, SCI TOTAL ENVIRON, V792, DOI 10.1016/j.scitotenv.2021.148438
Zhang XL, 2021, ANTON LEEUW INT J G, V114, P1195, DOI 10.1007/s10482-021-01588-6
Zhang ZH, 2023, ISME J, V17, P1979, DOI 10.1038/s41396-023-01510-0
Zheng JF, 2023, NUCLEIC ACIDS RES, V51, pW115, DOI 10.1093/nar/gkad328
Zvyagintseva TN, 1999, CARBOHYD RES, V322, P32, DOI 10.1016/S0008-6215(99)00206-2
NR 132
TC 29
Z9 29
PD FEB 20
PY 2024
VL 12
IS 1
AR 32
DI 10.1186/s40168-024-01757-5
UT WOS:001166748500002
HC Y
HP N
DA 2025-07-30
ER
PT J
AU Tarnecki, AM
Levi, NJ
Resley, M
Main, K
AF Tarnecki, Andrea M.
Levi, Noah J.
Resley, Matthew
Main, Kevan
TI Effect of copper sulfate on the external microbiota of adult common
snook (Centropomus undecimalis)
SO ANIMAL MICROBIOME
DT Article
AB Background The environment exerts a strong influence on the fish external microbiota, with lower diversity and increased abundances of opportunistic bacterial groups characterizing cultured fish compared to their wild counterparts. Deviation from a healthy external microbiota structure has been associated with increased susceptibility to bacterial pathogens. Treatment of wild-caught broodstock with copper sulfate for the removal of external parasites is a common aquaculture practice. Despite the microbiota's importance to fish health, the effects of copper sulfate on mucosal bacterial communities and their ability to recover following this chemical treatment have not been examined. The skin microbiota of adult common snook was characterized from wild individuals (Wild), and wild-caught fish maintained in recirculating aquaculture systems (RAS) immediately following a month-long copper sulfate treatment (Captive-1), and then two-weeks (Captive-2) and 2 years (Captive-3) after cessation of copper treatment. Results The skin microbiota of wild fish were characterized by high diversity and taxa including Synechocococcus, SAR11, and a member of the Roseobacter clade. Bacterial diversity decreased in Captive individuals during the 2-year sampling period. Captive fish harbored greater abundances of Firmicutes, which may reflect glycan differences between aquaculture and natural feeds. Bacterial taxa with copper resistance mechanisms and indicative of metal contamination were enriched in Captive-1 and Captive-2 fish. Vibrionaceae were dominant in Captive fish, particularly immediately and 2 weeks following copper treatment. Based on our observations and previous literature, our results suggest putatively beneficial taxa amass over time in captivity. Within 2 years, Captive individuals harbored Bacillus which contains numerous probiotic candidates and the complex carbon degraders of the family Saprospiraceae. Predicted butanoate metabolism exceeded that of Wild fish, and its reported roles in immunity and energy provision suggest a prebiotic effect for fishes. Conclusions The mucosal microbiota contains bacterial taxa that may act as bioindicators of environmental pollution. Increases in mutualistic groups indicate a return to a beneficial skin microbiota following copper sulfate treatment. Our data also suggests that vastly different taxa, influenced by environmental conditions, can be associated with adult fish without noticeable health impairment, perhaps due to establishment of various mutualists to maintain fish mucosal health.
C1 [Tarnecki, Andrea M.] Mote Marine Lab, Marine Immunol Program, 1600 Ken Thompson Pkwy, Sarasota, FL 34236 USA.
[Levi, Noah J.] Wabash Coll, Dept Biol, 301 West Wabash Ave, Crawfordsville, IN 47933 USA.
[Levi, Noah J.] Univ Miami, Med Scientist Training Program, Miller Sch Med, 1600 NW 10th Ave, Miami, FL 33101 USA.
[Resley, Matthew; Main, Kevan] Mote Aquaculture Res Pk, Directorate Fisheries & Aquaculture, 874 WR Mote Way, Sarasota, FL 34240 USA.
RP Tarnecki, AM (corresponding author), Mote Marine Lab, Marine Immunol Program, 1600 Ken Thompson Pkwy, Sarasota, FL 34236 USA.
EM atarnecki@mote.rg
CR Abdel-Latif HMR, 2020, REV FISH SCI AQUAC, V28, P421, DOI 10.1080/23308249.2020.1758899
[Anonymous], 2013, USE COPPER MARINE AQ
Arias CR, 2013, J AQUAT ANIM HEALTH, V25, P281, DOI 10.1080/08997659.2013.847872
Attramadal KJK, 2014, AQUACULTURE, V432, P483, DOI 10.1016/j.aquaculture.2014.05.052
Austin B, 2006, THESCIENTIFICWORLDJO, V6, P931, DOI 10.1100/tsw.2006.181
Austin B., 2012, Bacterial Fish Pathogens: Disease of Farmed and Wild Fish, P357, DOI [10.1007/978-94-007-4884-2, DOI 10.1007/978-94-007-4884-2]
BAKER RJ, 1983, J FISH DIS, V6, P267, DOI 10.1111/j.1365-2761.1983.tb00076.x
Bates JM, 2006, DEV BIOL, V297, P374, DOI 10.1016/j.ydbio.2006.05.006
Chiarello M, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv061
Clarke KR., 2006, PRIMER VERSION 7 USE
Cockburn DW, 2016, J MOL BIOL, V428, P3230, DOI 10.1016/j.jmb.2016.06.021
Coeurdacier JL, 1997, FISH SHELLFISH IMMUN, V7, P151, DOI 10.1006/fsim.1996.0071
Davis DJ, 2016, BEHAV BRAIN RES, V311, P219, DOI 10.1016/j.bbr.2016.05.040
De Schryver P, 2014, ISME J, V8, P2360, DOI 10.1038/ismej.2014.84
Dehler CE, 2017, AQUACULTURE, V467, P149, DOI 10.1016/j.aquaculture.2016.07.017
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Eichmiller JJ, 2016, MICROBIOME, V4, DOI 10.1186/s40168-016-0190-1
Eiler A, 2006, APPL ENVIRON MICROB, V72, P6004, DOI 10.1128/AEM.00917-06
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Glassing A, 2016, GUT PATHOG, V8, DOI 10.1186/s13099-016-0103-7
Gomez D, 2013, FISH SHELLFISH IMMUN, V35, P1729, DOI 10.1016/j.fsi.2013.09.032
Hakkimane SS, 2011, INDIAN J GEO-MAR SCI, V40, P583
Hansen GH, 1999, MICROB ECOL, V38, P1, DOI 10.1007/s002489900158
HARWOODSEARS V, 1990, APPL ENVIRON MICROB, V56, P1327, DOI 10.1128/AEM.56.5.1327-1332.1990
Hennersdorf P, 2016, MAR POLLUT BULL, V110, P726, DOI 10.1016/j.marpolbul.2016.05.009
Hoseinifar SH, 2017, AQUAC RES, V48, P1380, DOI 10.1111/are.13239
Hsieh JL, 2008, ENVIRON MICROBIOL, V10, P57, DOI 10.1111/j.1462-2920.2007.01429.x
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Kuebutornye FKA, 2019, FISH SHELLFISH IMMUN, V87, P820, DOI 10.1016/j.fsi.2019.02.010
Landeira-Dabarca A, 2013, J FISH BIOL, V82, P893, DOI 10.1111/jfb.12025
Langille MGI, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00163-17
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Larsen A, 2013, FEMS MICROBIOL ECOL, V85, P483, DOI 10.1111/1574-6941.12136
Larsen AM, 2015, MICROB ECOL, V70, P534, DOI 10.1007/s00248-015-0578-7
Lavoie C, 2018, EVOL APPL, V11, P1671, DOI 10.1111/eva.12658
Legrand TPRA, 2020, REV AQUACULT, V12, P1101, DOI 10.1111/raq.12375
Li JJ, 2019, SCI TOTAL ENVIRON, V692, P769, DOI 10.1016/j.scitotenv.2019.07.088
Lima Junior EM., 2016, J HEAL BIOL SCI, V4, P193, DOI [10.12662/2317-3076jhbs.v4i3.767.p193-197.2016, DOI 10.12662/2317-3076JHBS.V4I3.767.P193-197.2016]
Liu JX, 2018, WATER RES, V133, P99, DOI 10.1016/j.watres.2018.01.014
Lorenzen K, 2010, REV FISH SCI, V18, P189, DOI 10.1080/10641262.2010.491564
Mamba BB, 2009, PHYS CHEM EARTH, V34, P841, DOI 10.1016/j.pce.2009.07.009
McIlroy S., 2006, PROKARYOTES OTHER MA, P863
Meng XL, 2018, ECOTOX ENVIRON SAFE, V160, P257, DOI 10.1016/j.ecoenv.2018.05.050
Merrifield D.L., 2015, FISH MICROBIOME ITS, P273, DOI DOI 10.1016/B978-0-12-417186-2.00010-8
Minich JJ, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00411-20
Mohammed HH, 2015, VET RES, V46, DOI 10.1186/s13567-015-0215-y
Montenegro D, 2020, ENVIRON POLLUT, V263, DOI 10.1016/j.envpol.2020.114438
Muller R.G., 2013, 2013 STOCK ASSESSMEN
Nakayama T, 2007, J APPL MICROBIOL, V102, P1300, DOI 10.1111/j.1365-2672.2006.03226.x
OLIVER JD, 1983, APPL ENVIRON MICROB, V45, P985, DOI 10.1128/AEM.45.3.985-998.1983
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Qian DW, 2020, FISH SHELLFISH IMMUN, V100, P445, DOI 10.1016/j.fsi.2020.03.018
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Ramirez C, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01844
Ramírez C, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00271
Rhody NR, 2014, AQUACULTURE, V432, P144, DOI 10.1016/j.aquaculture.2014.04.022
Robles R, 2013, FISH PHYSIOL BIOCHEM, V39, P1567, DOI 10.1007/s10695-013-9809-3
Rurangwa E, 2015, REV AQUACULT, V7, P117, DOI 10.1111/raq.12057
Salter SJ, 2014, BMC BIOL, V12, DOI 10.1186/s12915-014-0087-z
Santo CE, 2010, APPL ENVIRON MICROB, V76, P1341, DOI 10.1128/AEM.01952-09
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Sheeba VA, 2020, WORLD J MICROB BIOT, V36, DOI 10.1007/s11274-020-02842-1
Shmareva MN, 2018, MICROBIOLOGY+, V87, P33, DOI 10.1134/S0026261718010162
Stevens JL, 2015, MAR ECOL PROG SER, V531, P253, DOI 10.3354/meps11323
Tarnecki AM, 2017, J APPL MICROBIOL, V123, P2, DOI 10.1111/jam.13415
Tarnecki AM, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-39316-w
Tarnecki AM, 2019, MICROB ECOL, V77, P770, DOI 10.1007/s00248-018-1252-7
Tarnecki AM, 2017, AQUAC RES, V48, P5693, DOI 10.1111/are.13377
Toes ACM, 2008, MICROBIOL-SGM, V154, P2709, DOI 10.1099/mic.0.2008/016857-0
Tom-Petersen A, 2011, AQUACULTURE, V322, P259, DOI 10.1016/j.aquaculture.2011.09.038
Uribe C, 2011, VET MED-CZECH, V56, P486, DOI 10.17221/3294-VETMED
USDA, 20193AC17SS2 USDA
Vanhove AS, 2016, ENVIRON MICROBIOL, V18, P875, DOI 10.1111/1462-2920.13083
Vestrum RI, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00851
Webster TMU, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.00691-18
Yeh ST, 2004, FISH SHELLFISH IMMUN, V17, P437, DOI 10.1016/j.fsi.2004.04.016
Zhao ZC, 2014, MOL BIOSYST, V10, P2607, DOI 10.1039/c4mb00320a
NR 79
TC 11
Z9 11
PD MAR 2
PY 2021
VL 3
IS 1
AR 21
DI 10.1186/s42523-021-00085-5
UT WOS:000704670300001
DA 2025-07-30
ER
PT J
AU Kim, SJ
Kim, JG
Lee, SH
Park, SJ
Gwak, JH
Jung, MY
Chung, WH
Yang, EJ
Park, J
Jung, J
Hahn, Y
Cho, JC
Madsen, EL
Rodriguez-Valera, F
Hyun, JH
Rhee, SK
AF Kim, So-Jeong
Kim, Jong-Geol
Lee, Sang-Hoon
Park, Soo-Je
Gwak, Joo-Han
Jung, Man-Young
Chung, Won-Hyung
Yang, Eun-Jin
Park, Jisoo
Jung, Jinyoung
Hahn, Yoonsoo
Cho, Jang-Cheon
Madsen, Eugene L.
Rodriguez-Valera, Francisco
Hyun, Jung-Ho
Rhee, Sung-Keun
TI Genomic and metatranscriptomic analyses of carbon remineralization in an
Antarctic polynya
SO MICROBIOME
DT Article
AB Polynyas in the Southern Ocean are regions of intense primary production, mainly by Phaeocystis antarctica. Carbon fixed by phytoplankton in the water column is transferred to higher trophic levels, and finally, to the deep ocean. However, in the Amundsen Sea, most of this organic carbon does not reach the sediment but is degraded in the water column due to high bacterial heterotrophic activity.
We reconstructed 12 key bacterial genomes from different phases of bloom and analyzed the expression of genes involved in organic carbon remineralization. A high correlation of gene expression between the peak and decline phases was observed in an individual genome bin-based pairwise comparison of gene expression. Polaribacter belonging to Bacteroidetes was found to be dominant in the peak phase, and its transcriptional activity was high (48.9% of the total mRNA reads). Two dominant Polaribacter bins had the potential to utilize major polymers in P. antarctica, chrysolaminarin and xylan, with a distinct set of glycosyl hydrolases. In the decline phase, Gammaproteobacteria (Ant4D3, SUP05, and SAR92), with the potential to utilize low molecular weight-dissolved organic matter (LMW-DOM) including compatible solutes, was increased. The versatility of Gammaproteobacteria may contribute to their abundance in organic carbon-rich polynya waters, while the SAR11 clade was found to be predominant in the sea ice-covered oligotrophic ocean. SAR92 clade showed transcriptional activity for utilization of both polysaccharides and LMW-DOM; this may account for their abundance both in the peak and decline phases. Ant4D3 clade was dominant in all phases of the polynya bloom, implicating the crucial roles of this clade in LMW-DOM remineralization in the Antarctic polynyas.
Genomic reconstruction and in situ gene expression analyses revealed the unique metabolic potential of dominant bacteria of the Antarctic polynya at a finer taxonomic level. The information can be used to predict temporal community succession linked to the availability of substrates derived from the P. antarctica bloom. Global warming has resulted in compositional changes in phytoplankton from P. antarctica to diatoms, and thus, repeated parallel studies in various polynyas are required to predict global warming-related changes in carbon remineralization.
C1 [Kim, So-Jeong] Korea Inst Geosci & Mineral Resources, Geol Environm Res Div, Daejeon 34132, South Korea.
[Kim, Jong-Geol; Gwak, Joo-Han; Rhee, Sung-Keun] Chungbuk Natl Univ, Dept Microbiol, Cheongju 28644, South Korea.
[Lee, Sang-Hoon; Yang, Eun-Jin; Park, Jisoo; Jung, Jinyoung] Korea Polar Res Inst, Div Polar Ocean Environm, Incheon 21990, South Korea.
[Park, Soo-Je] Jeju Natl Univ, Dept Biol, Jeju 63243, South Korea.
[Jung, Man-Young] Univ Vienna, Dept Microbial Ecol, A-1090 Vienna, Austria.
[Chung, Won-Hyung] Korea Food Res Inst, Res Grp Gut Microbiome, Sungnam 13539, South Korea.
[Hahn, Yoonsoo] Chung Ang Univ, Dept Life Sci, Seoul 06974, South Korea.
[Cho, Jang-Cheon] Inha Univ, Dept Biol Sci, Incheon 22212, South Korea.
[Madsen, Eugene L.] Cornell Univ, Dept Microbiol, Ithaca, NY 14853 USA.
[Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Div Microbiol, Evolutionary Genom Grp, Apartado 18, Alicante, Spain.
[Hyun, Jung-Ho] Hanyang Univ, Dept Marine Sci & Convergence Engn, ERICA Campus, Ansan 15588, South Korea.
RP Rhee, SK (corresponding author), Chungbuk Natl Univ, Dept Microbiol, Cheongju 28644, South Korea.
EM rhees@chungbuk.ac.kr
CR Ahn S, 2016, J BIOL CHEM, V291, P11928, DOI 10.1074/jbc.M115.708149
Albertsen M, 2013, NAT BIOTECHNOL, V31, P533, DOI 10.1038/nbt.2579
Alderkamp AC, 2007, BIOGEOCHEMISTRY, V83, P99, DOI 10.1007/s10533-007-9078-2
Arrigo KR, 2012, DEEP-SEA RES PT II, V71-76, P5, DOI 10.1016/j.dsr2.2012.03.006
Arrigo KR, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001739
Bender SJ, 2018, BIOGEOSCIENCES DISCU
Boetzer M, 2011, BIOINFORMATICS, V27, P578, DOI 10.1093/bioinformatics/btq683
BRUSSAARD CPD, 1995, MAR ECOL PROG SER, V123, P259, DOI 10.3354/meps123259
Brussaard CPD, 2005, HARMFUL ALGAE, V4, P859, DOI 10.1016/j.hal.2004.12.015
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Castelle CJ, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3120
Choi SB, 2016, DEEP-SEA RES PT II, V123, P126, DOI 10.1016/j.dsr2.2015.04.027
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
DeJong HB, 2017, GLOBAL BIOGEOCHEM CY, V31, P473, DOI 10.1002/2016GB005417
Delmont TO, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01090
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
DeSantis TZ, 2006, APPL ENVIRON MICROB, V72, P5069, DOI 10.1128/AEM.03006-05
Ducklow HW, 2015, ELEMENTA-SCI ANTHROP, V3, DOI 10.12952/journal.elementa.000046
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Franzosa EA, 2018, NAT METHODS, V1
Galand PE, 2009, ISME J, V3, P860, DOI 10.1038/ismej.2009.23
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Gosink JJ, 1998, INT J SYST BACTERIOL, V48, P223, DOI 10.1099/00207713-48-1-223
Grzymski JJ, 2006, APPL ENVIRON MICROB, V72, P1532, DOI 10.1128/AEM.72.2.1532-1541.2006
Gügi B, 2015, MAR DRUGS, V13, P5993, DOI 10.3390/md13095993
Henson SA, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004099
Horner-Devine MC, 2003, ECOL LETT, V6, P613
Hur M, 2011, APPL ENVIRON MICROB, V77, P7611, DOI 10.1128/AEM.06102-11
Hurt RA, 2001, APPL ENVIRON MICROB, V67, P4495, DOI 10.1128/AEM.67.10.4495-4503.2001
Hyun JH, 2016, DEEP-SEA RES PT II, V123, P102, DOI 10.1016/j.dsr2.2015.10.001
Janse I, 1999, LIMNOL OCEANOGR, V44, P1447, DOI 10.4319/lo.1999.44.6.1447
Janse I, 2000, AQUAT MICROB ECOL, V22, P119, DOI 10.3354/ame022119
KELLER MD, 1989, ACS SYM SER, V393, P167
Kim BK, 2015, POLAR BIOL, V38, P319, DOI 10.1007/s00300-014-1588-5
Kim D., 2016, GENOME RES
Kim JG, 2014, ENVIRON MICROBIOL, V16, P1566, DOI 10.1111/1462-2920.12287
Kim SJ, 2014, ENVIRON MICROBIOL, V16, P189, DOI 10.1111/1462-2920.12277
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
Lagesen K, 2007, NUCLEIC ACIDS RES, V35, P3100, DOI 10.1093/nar/gkm160
LANDER E S, 1988, Genomics, V2, P231
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lee SH, 2012, POLAR BIOL, V35, P1721, DOI 10.1007/s00300-012-1220-5
Lee S, 2017, GEOPHYS RES LETT, V44, P7892, DOI 10.1002/2017GL074646
Lee Y, 2016, DEEP-SEA RES PT I, V117, P51, DOI 10.1016/j.dsr.2016.10.001
Li H, 2009, BIOINFORMATICS, V25, P1754, DOI [10.1093/bioinformatics/btp352, 10.1093/bioinformatics/btp324, 10.1093/bioinformatics/btp698]
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Mann AJ, 2013, APPL ENVIRON MICROB, V79, P6813, DOI 10.1128/AEM.01937-13
Martens EC, 2009, J BIOL CHEM, V284, P24673, DOI 10.1074/jbc.R109.022848
Noguchi H, 2008, DNA RES, V15, P387, DOI 10.1093/dnares/dsn027
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Petersen TN, 2011, NAT METHODS, V8, P785, DOI 10.1038/nmeth.1701
Rawlings ND, 2016, NUCLEIC ACIDS RES, V44, pD343, DOI 10.1093/nar/gkv1118
Reigstad M, 2007, BIOGEOCHEMISTRY, V83, P217, DOI 10.1007/s10533-007-9093-3
RIEGMAN R, 1992, MAR BIOL, V112, P479, DOI 10.1007/BF00356293
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Rousseau V, 2000, J SEA RES, V43, P357, DOI 10.1016/S1385-1101(00)00018-6
Saier MH, 2014, NUCLEIC ACIDS RES, V42, pD251, DOI 10.1093/nar/gkt1097
Schoemann V, 2005, J SEA RES, V53, P43, DOI 10.1016/j.seares.2004.01.008
Schofield O, 2015, ELEMENTA-SCI ANTHROP, V3, P1, DOI 10.12952/journal.elementa.000073
Seitz KW, 2016, ISME J, V10, P1696, DOI 10.1038/ismej.2015.233
Stefels J, 1996, MAR ECOL PROG SER, V131, P307, DOI 10.3354/meps131307
Stefels J, 1996, BIOLOGICAL AND ENVIRONMENTAL CHEMISTRY OF DMSP AND RELATED SULFONIUM COMPOUNDS, P305
Stefels J, 1998, J PHYCOL, V34, P486, DOI 10.1046/j.1529-8817.1998.340486.x
Szymanski M, 2002, NUCLEIC ACIDS RES, V30, P176, DOI 10.1093/nar/30.1.176
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tortell PD, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032583
Tortell PD, 2012, DEEP-SEA RES PT II, V71-76, P77, DOI 10.1016/j.dsr2.2012.03.010
VANBOEKEL WHM, 1992, MAR ECOL PROG SER, V81, P269, DOI 10.3354/meps081269
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
WASSMANN P, 1994, J MARINE SYST, V5, P81, DOI 10.1016/0924-7963(94)90018-3
Wrighton KC, 2012, SCIENCE, V337, P1661, DOI 10.1126/science.1224041
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yager PL, 2012, OCEANOGRAPHY, V25, P40, DOI 10.5670/oceanog.2012.73
Yancey PH, 2005, J EXP BIOL, V208, P2819, DOI 10.1242/jeb.01730
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
NR 82
TC 13
Z9 13
PD FEB 20
PY 2019
VL 7
AR 29
DI 10.1186/s40168-019-0643-4
UT WOS:000459563300001
DA 2025-07-30
ER
PT J
AU Ding, CL
Wu, C
Guo, CC
Gui, J
Wei, YQ
Sun, J
AF Ding, Changling
Wu, Chao
Guo, Congcong
Gui, Jiang
Wei, Yuqiu
Sun, Jun
TI The Composition and Primary Metabolic Potential of Microbial Communities
Inhabiting the Surface Water in the Equatorial Eastern Indian Ocean
SO BIOLOGY-BASEL
DT Article
AB Simple Summary
Marine microbes are regarded as the most diverse organisms in the biosphere and drive biogeochemical cycles through their metabolism. It is essential to understand the structure and metabolic function of microbial communities. The Indian Ocean is the third largest ocean in the world, and it possesses unique hydrographical properties. So far, assessments of microbial diversity and metabolism need to be improved in the Indian Ocean. Therefore, we carried out a series of investigations in the equatorial eastern Indian Ocean in order to clarify the local microbial communities and detect the genetic potential for microbial functions. The obtained results suggested Cyanobacteria was the dominant microbial group, and predicted the Calvin cycle and the assimilatory nitrate and nitrite reduction played important role in the pathway of carbon fixation and nitrogen metabolism respectively. This study provides insights into microbial community structures as well as the metabolic potential that may be active in the local environment, and lays the groundwork for understanding the roles of microbes in energy and resource cycling in this habitat.
Currently, there is scant information about the biodiversity and functional diversity of microbes in the eastern Indian Ocean (EIO). Here, we used a combination of high-throughput sequencing of 16S rRNA genes and a metagenomic approach to investigate the microbial population structure and its metabolic function in the equatorial EIO. Our results show that Cyanobacterial Prochlorococcus made up the majority of the population. Interestingly, there were fewer contributions from clades SAR11 (Alphaproteobacteria) and SAR86 (Gammaproteobacteria) to microbial communities than contributions from Prochlorococcus. Based on functional gene analysis, functional genes rbcL, narB, and nasA were relatively abundant among the relevant genes. The abundance of Prochlorococcus implies its typically ecological adaptation in the local ecosystem. The microbial metabolic potential shows that in addition to the main carbon fixation pathway Calvin cycle, the rTCA cycle and the 3-HP/4-HB cycle have potential alternative carbon fixation contributions to local ecosystems. For the nitrogen cycle, the assimilatory nitrate and nitrite reduction pathway is potentially the crucial form of nitrogen utilization; unexpectedly, nitrogen fixation activity was relatively weak. This study extends our knowledge of the roles of microbes in energy and resource cycling in the EIO and provides a foundation for revealing profound biogeochemical processes driven by the microbial community in the ocean.
C1 [Ding, Changling] Tianjin Univ Sci & Technol, Coll Biotechnol, Tianjin 300457, Peoples R China.
[Ding, Changling; Wu, Chao; Guo, Congcong; Gui, Jiang; Wei, Yuqiu; Sun, Jun] Tianjin Univ Sci & Technol, Res Ctr Indian Ocean Ecosyst, Tianjin 300457, Peoples R China.
[Guo, Congcong; Wei, Yuqiu] Shandong Univ, Inst Marine Sci & Technol, Qingdao 266237, Peoples R China.
[Sun, Jun] China Univ Geosci Wuhan, Coll Marine Sci & Technol, Wuhan 430074, Peoples R China.
RP Sun, J (corresponding author), Tianjin Univ Sci & Technol, Res Ctr Indian Ocean Ecosyst, Tianjin 300457, Peoples R China.; Sun, J (corresponding author), China Univ Geosci Wuhan, Coll Marine Sci & Technol, Wuhan 430074, Peoples R China.
EM docean@mail.tust.edu.cn; wuchao@tust.edu.cn; smart_guo@mail.sdu.edu.cn;
gui18825008@mail.tust.edu.cn; 201720544@mail.sdu.edu.cn;
phytoplankton@163.com
CR Allen AE, 2001, APPL ENVIRON MICROB, V67, P5343, DOI 10.1128/AEM.67.11.5343-5348.2001
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Bharathi PAL, 2005, MAR GEORESOUR GEOTEC, V23, P419, DOI 10.1080/10641190500446805
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Buck KR, 1996, AQUAT MICROB ECOL, V10, P283
Campbell L, 1997, DEEP-SEA RES PT I, V44, P167, DOI 10.1016/S0967-0637(96)00102-1
Choi Dong Han, 2011, Ocean Science Journal, V46, P265, DOI 10.1007/s12601-011-0020-0
Damare V, 2008, FEMS MICROBIOL ECOL, V65, P40, DOI 10.1111/j.1574-6941.2008.00500.x
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Díez B, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0155757
Duarte CM, 1996, LIMNOL OCEANOGR, V41, P1758, DOI 10.4319/lo.1996.41.8.1758
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Fernandes V, 2008, AQUAT ECOL, V42, P511, DOI 10.1007/s10452-007-9142-y
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Frank AH, 2016, ENVIRON MICROBIOL, V18, P2052, DOI 10.1111/1462-2920.13237
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Gianoulis TA, 2009, P NATL ACAD SCI USA, V106, P1374, DOI 10.1073/pnas.0808022106
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
Han WQ, 1999, J PHYS OCEANOGR, V29, P2191, DOI 10.1175/1520-0485(1999)029<2191:DOTESJ>2.0.CO;2
HENDON HH, 1994, J ATMOS SCI, V51, P2225, DOI 10.1175/1520-0469(1994)051<2225:TLCOTM>2.0.CO;2
Heywood JL, 2006, DEEP-SEA RES PT II, V53, P1530, DOI 10.1016/j.dsr2.2006.05.005
Hingamp P, 2013, ISME J, V7, P1678, DOI 10.1038/ismej.2013.59
Horii T, 2013, J GEOPHYS RES-OCEANS, V118, P536, DOI 10.1002/jgrc.20071
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kennedy J, 2008, MICROB CELL FACT, V7, DOI 10.1186/1475-2859-7-27
Kent AG, 2016, ISME J, V10, P1856, DOI 10.1038/ismej.2015.265
Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Li MQ, 2012, ISME J, V6, P875, DOI 10.1038/ismej.2011.150
Li RQ, 2008, BIOINFORMATICS, V24, P713, DOI 10.1093/bioinformatics/btn025
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
NAIR S, 1994, OCEANOL ACTA, V17, P63
Noguchi H, 2006, NUCLEIC ACIDS RES, V34, P5623, DOI 10.1093/nar/gkl723
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Parsons T.R., 1984, MANUAL CHEM BIOL MET, V1, P173
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Powell S, 2014, NUCLEIC ACIDS RES, V42, pD231, DOI 10.1093/nar/gkt1253
Pujari L, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01501
Qian G, 2018, INT BIODETER BIODEGR, V133, P52, DOI 10.1016/j.ibiod.2018.05.015
Raven JA, 2009, AQUAT MICROB ECOL, V56, P177, DOI 10.3354/ame01315
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Saraswat R, 2007, CURR SCI INDIA, V92, P1153
Seymour JR, 2012, ENV MICROBIOL REP, V4, P548, DOI 10.1111/j.1758-2229.2012.00362.x
Shiozaki T, 2014, GLOBAL BIOGEOCHEM CY, V28, P1096, DOI 10.1002/2014GB004886
Six KD, 1996, GLOBAL BIOGEOCHEM CY, V10, P559, DOI 10.1029/96GB02561
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tatusov RL, 2003, BMC BIOINFORMATICS, V4, DOI 10.1186/1471-2105-4-41
Tomczak M., 1994, Regional Oceanography: An Introduction, P175
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Uritskiy GV, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0541-1
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vieira-Silva S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000808
Wabnitz CCC, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0194537
Wang J, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00415
Wang J, 2016, ACTA OCEANOL SIN, V35, P85, DOI 10.1007/s13131-016-0871-4
Wei YQ, 2019, ECOL EVOL, V9, P5003, DOI 10.1002/ece3.5107
Williamson SJ, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001456
Wu C, 2019, MICROB ECOL, V78, P804, DOI 10.1007/s00248-019-01355-1
Xie C, 2011, NUCLEIC ACIDS RES, V39, pW316, DOI 10.1093/nar/gkr483
Xie W, 2011, ISME J, V5, P414, DOI 10.1038/ismej.2010.144
Xu MX, 2007, FEMS MICROBIOL ECOL, V62, P233, DOI 10.1111/j.1574-6941.2007.00377.x
Xu N, 2016, EUR J SOIL BIOL, V74, P1, DOI 10.1016/j.ejsobi.2016.02.004
Zehr JP, 2011, ANNU REV MAR SCI, V3, P197, DOI 10.1146/annurev-marine-120709-142819
Zhang WP, 2020, MICROBIOME, V8, DOI [10.1186/s40168-020-00826-9, 10.3390/microorganisms8060953]
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
Zubkov MV, 2000, PROG OCEANOGR, V45, P369, DOI 10.1016/S0079-6611(00)00008-2
NR 72
TC 15
Z9 15
PD MAR
PY 2021
VL 10
IS 3
AR 248
DI 10.3390/biology10030248
UT WOS:000633323200001
DA 2025-07-30
ER
PT J
AU Johnston, AWB
Todd, JD
Curson, AR
Lei, S
Nikolaidou-Katsaridou, N
Gelfand, MS
Rodionov, DA
AF Johnston, Andrew W. B.
Todd, Jonathan D.
Curson, Andrew R.
Lei, Sun
Nikolaidou-Katsaridou, Nefeli
Gelfand, Mikhail S.
Rodionov, Dmitry A.
TI Living without Fur:: the subtlety and complexity of iron-responsive gene
regulation in the symbiotic bacterium Rhizobium and other
α-proteobacteria
SO BIOMETALS
DT Article; Proceedings Paper
CT 5th International Biometals Symposium (Biometals 2006)
CY JUL 30-AUG 06, 2006
CL Welches, OR
AB The alpha-proteobacteria include several important genera, including the symbiotic N-2-fixing "rhizobia", the plant pathogen Agrobacterium, the mammalian pathogens Brucella, Bartonella as well as many others that are of environmental or other interest-including Rhodobacter, Caulobacter and the hugely abundant marine genus Pelagibacter. Only a few species-mainly different members of the rhizobia-have been analyzed directly for their ability to use and to respond to iron. These studies, however, have shown that at least some of the "alphas" differ fundamentally in the ways in which they regulate their genes in response to Fe availability. In this paper, we build on our own work on Rhizobium leguminosarum (the symbiont of peas, beans and clovers) and on Bradyrhizobium japonicum, which nodulates soybeans and which has been studied in Buffalo and Zurich. In the former species, the predominant Fe-responsive regulator is not Fur, but RirA, a member of the Rrf2 protein family and which likely has an FeS cluster cofactor. In addition, there are several R. leguminosarum genes that are expressed at higher levels in Fe-replete conditions and at least some of these are regulated by Irr, a member of the Fur superfamily and which has the unusual property of being degraded by the presence of heme. In silico analyses of the genome sequences of other bacteria indicate that Irr occurs in all members of the Rhizobiales and the Rhodobacterales and that RirA is found in all but one branch of these two lineages, the exception being the clade that includes B. japonicum. Nearly all the Rhizobiales and the Rhodobacterales contain a gene whose product resembles bona fide Fur. However, direct genetic studies show that in most of the Rhizobiales and in the Rhodobacterales it is a "Mur" (a manganese responsive repressor of a small number of genes involved in Mn uptake) or, in Bradyrhizobium, it recognizes the operator sequences of only a few genes that are involved in Fe metabolism. We propose that the Rhizobiales and the Rhodobacterales have relegated Fur to a far more minor role than in (say) E. coli and that they employ Irr and, in the Rhizobiales, RirA as their global Fe-responsive transcriptional regulators. In contrast to the direct interaction between Fe2+ and conventional Fur, we suggest that these bacteria sense Fe more indirectly as functions of the intracellular concentrations of FeS clusters and of heme. Thus, their "iron-omes" may be more accurately linked to the real-time needs for the metal and not just to its absolute concentration in the environment.
C1 Univ E Anglia, Sch Biol Sci, Norwich NR4 7TJ, Norfolk, England.
Russian Acad Sci, Inst Informat Transmiss Problems, Moscow 127994, Russia.
Moscow MV Lomonosov State Univ, Dept Bioengn & Bioinformat, Moscow 119992, Russia.
Burnham Inst Med Res, La Jolla, CA 92037 USA.
RP Johnston, AWB (corresponding author), Univ E Anglia, Sch Biol Sci, Norwich NR4 7TJ, Norfolk, England.
EM a.johnston@uea.ac.uk
CR Andrews SC, 2003, FEMS MICROBIOL REV, V27, P215, DOI 10.1016/S0168-6445(03)00055-X
Beaumont HJE, 2004, MOL MICROBIOL, V54, P148, DOI 10.1111/j.1365-2958.2004.04248.x
Bodenmiller DM, 2006, J BACTERIOL, V188, P874, DOI 10.1128/JB.188.3.874-881.2006
Chao TC, 2005, APPL ENVIRON MICROB, V71, P5969, DOI 10.1128/AEM.71.10.5969-5982.2005
Chao TC, 2004, J BACTERIOL, V186, P3609, DOI 10.1128/JB.186.11.3609-3620.2004
Delany I, 2004, MOL MICROBIOL, V52, P1081, DOI 10.1111/j.1365-2958.2004.04030.x
Díaz-Mireles E, 2005, MICROBIOL-SGM, V151, P4071, DOI 10.1099/mic.0.28342-0
Díaz-Mireles E, 2004, MICROBIOL-SGM, V150, P1447, DOI 10.1099/mic.0.26961-0
Friedman YE, 2004, J BIOL CHEM, V279, P32100, DOI 10.1074/jbc.M404924200
Friedman YE, 2003, J BIOL CHEM, V278, P38395, DOI 10.1074/jbc.M306710200
Giel JL, 2006, MOL MICROBIOL, V60, P1058, DOI 10.1111/j.1365-2958.2006.05160.x
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Hamza I, 1999, J BACTERIOL, V181, P5843, DOI 10.1128/JB.181.18.5843-5846.1999
Hamza I, 1998, J BIOL CHEM, V273, P21669, DOI 10.1074/jbc.273.34.21669
Hamza I, 2000, MICROBIOL-SGM, V146, P669, DOI 10.1099/00221287-146-3-669
Iwai K, 1998, P NATL ACAD SCI USA, V95, P4924, DOI 10.1073/pnas.95.9.4924
Johnston AWB, 2004, IRON TRANSPORT IN BACTERIA, P469
Keon RG, 1997, ARCH MICROBIOL, V167, P376, DOI 10.1007/s002030050458
Martínez M, 2005, MICROBIOL-SGM, V151, P3427, DOI 10.1099/mic.0.28213-0
Nienaber A, 2001, MOL MICROBIOL, V41, P787, DOI 10.1046/j.1365-2958.2001.02555.x
Platero R, 2004, APPL ENVIRON MICROB, V70, P4349, DOI 10.1128/AEM.70.7.4349-4355.2004
Qi ZH, 1999, P NATL ACAD SCI USA, V96, P13056, DOI 10.1073/pnas.96.23.13056
Qi ZH, 2002, MOL CELL, V9, P155, DOI 10.1016/S1097-2765(01)00431-2
Rodionov DA, 2006, PLOS COMPUT BIOL, V2, P1568, DOI 10.1371/journal.pcbi.0020163
Rudolph G, 2006, J BACTERIOL, V188, P733, DOI 10.1128/JB.188.2.733-744.2006
Rudolph G, 2006, FEMS MICROBIOL REV, V30, P631, DOI 10.1111/j.1574-6976.2006.00030.x
Schwartz CJ, 2001, P NATL ACAD SCI USA, V98, P14895, DOI 10.1073/pnas.251550898
Suzuki T, 2006, J BACTERIOL, V188, P2275, DOI 10.1128/JB.188.6.2275-2279.2006
Todd JD, 2005, MOL GENET GENOMICS, V273, P197, DOI 10.1007/s00438-005-1127-8
Todd JD, 2002, MICROBIOL-SGM, V148, P4059, DOI 10.1099/00221287-148-12-4059
Todd JD, 2006, MOL GENET GENOMICS, V275, P564, DOI 10.1007/s00438-006-0115-y
Viguier C, 2005, FEMS MICROBIOL LETT, V246, P235, DOI 10.1016/j.femsle.2005.04.012
Wexler M, 2003, MICROBIOL-SGM, V149, P1357, DOI 10.1099/mic.0.26130-0
Yang J, 2006, MOL MICROBIOL, V60, P209, DOI 10.1111/j.1365-2958.2006.05087.x
Yang JH, 2006, MOL MICROBIOL, V60, P427, DOI 10.1111/j.1365-2958.2006.05101.x
Yang JH, 2005, J BIOL CHEM, V280, P7671, DOI 10.1074/jbc.M411664200
Yeoman KH, 2004, MICROBIOL-SGM, V150, P4065, DOI 10.1099/mic.0.27419-0
NR 37
TC 80
Z9 101
PD JUN
PY 2007
VL 20
IS 3-4
BP 501
EP 511
DI 10.1007/s10534-007-9085-8
UT WOS:000246610700022
DA 2025-07-30
ER
PT J
AU Cifuentes-Anticevic, J
Alcamán-Arias, ME
Alarcón-Schumacher, T
Tamayo-Leiva, J
Pedrós-Alió, C
Farías, L
Díez, B
AF Cifuentes-Anticevic, Jeronimo
Alcaman-Arias, Maria E.
Alarcon-Schumacher, Tomas
Tamayo-Leiva, Javier
Pedros-Alio, Carlos
Farias, Laura
Diez, Beatriz
TI Proteorhodopsin Phototrophy in Antarctic Coastal Waters
SO MSPHERE
DT Article
AB Microbial proton-pumping rhodopsins are considered the simplest strategy among phototrophs to conserve energy from light. Proteorhodopsins are the most studied rhodopsins thus far because of their ubiquitous presence in the ocean, except in Antarctica, where they remain understudied. We analyzed proteorhodopsin abundance and transcriptional activity in the Western Antarctic coastal seawaters. Combining quantitative PCR (qPCR) and metagenomics, the relative abundance of proteorhodopsin-bearing bacteria accounted on average for 17, 3.5, and 29.7% of the bacterial community in Chile Bay (South Shetland Islands) during 2014, 2016, and 2017 summer-autumn, respectively. The abundance of proteorhodopsin-bearing bacteria changed in relation to environmental conditions such as chlorophyll a and temperature. Alphaproteobacteria, Gammaproteobacteria, and Flavobacteriia were the main bacteria that transcribed the proteorhodopsin gene during day and night. Although green light-absorbing proteorhodopsin genes were more abundant than blue-absorbing ones, the latter were transcribed more intensely, resulting in .50% of the proteorhodopsin transcripts during the day and night. Flavobacteriia were the most abundant proteorhodopsin-bearing bacteria in the metagenomes; however, Alphaproteobacteria and Gammaproteobacteria were more represented in the metatranscriptomes, with qPCR quantification suggesting the dominance of the active SAR11 clade. Our results show that proteorhodopsin-bearing bacteria are prevalent in Antarctic coastal waters in late austral summer and early autumn, and their ecological relevance needs to be elucidated to better understand how sunlight energy is used in this marine ecosystem.
IMPORTANCE Proteorhodopsin-bearing microorganisms in the Southern Ocean have been overlooked since their discovery in 2000. The present study identify taxonomy and quantify the relative abundance of proteorhodopsin-bearing bacteria and proteorhodopsin gene transcription in the West Antarctic Peninsula's coastal waters. This information is crucial to understand better how sunlight enters this marine environment through alternative ways unrelated to chlorophyll-based strategies. The relative abundance of proteorhodopsin-bearing bacteria seems to be related to environmental parameters (e.g., chlorophyll a, temperature) that change yearly at the coastal water of the West Antarctic Peninsula during the austral late summers and early autumns. Proteorhodopsin-bearing bacteria from Antarctic coastal waters are potentially able to exploit both the green and blue spectrum of sunlight and are a prevalent group during the summer in this polar environment.
C1 [Cifuentes-Anticevic, Jeronimo; Tamayo-Leiva, Javier; Diez, Beatriz] Pontificia Univ Catolica Chile, Dept Mol Genet & Microbiol, Santiago, Chile.
[Alcaman-Arias, Maria E.; Farias, Laura] Univ Concepcion, Dept Oceanog, Concepcion, Chile.
[Alcaman-Arias, Maria E.; Farias, Laura; Diez, Beatriz] Ctr Climate & Resilience Res CR 2, Santiago, Chile.
[Alcaman-Arias, Maria E.] Univ Espiritu Santo, Escuela Med, Samborondon, Ecuador.
[Alarcon-Schumacher, Tomas] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Pedros-Alio, Carlos] Ctr Nacl Biotecnol CSIC, Dept Biol Sistemas, Madrid, Spain.
[Diez, Beatriz] Ctr Genome Regulat CRG, Santiago, Chile.
RP Díez, B (corresponding author), Pontificia Univ Catolica Chile, Dept Mol Genet & Microbiol, Santiago, Chile.; Díez, B (corresponding author), Ctr Climate & Resilience Res CR 2, Santiago, Chile.; Díez, B (corresponding author), Ctr Genome Regulat CRG, Santiago, Chile.
CR Alarcón-Schumacher T, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01014
Alcamán-Arias ME, 2018, FEMS MICROBIOL LETT, V365, DOI 10.1093/femsle/fny090
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
Arrigo KR, 1999, SCIENCE, V283, P365, DOI 10.1126/science.283.5400.365
AZAM F, 1991, POLAR RES, V10, P239, DOI 10.1111/j.1751-8369.1991.tb00649.x
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Barbera P, 2019, SYST BIOL, V68, P365, DOI 10.1093/sysbio/syy054
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
Boeuf D, 2015, DATABASE-OXFORD, DOI 10.1093/database/bav080
Boeuft D, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01584
Booth MG, 2001, AQUAT MICROB ECOL, V24, P51, DOI 10.3354/ame024051
Booth MG, 2001, MICROB ECOL, V42, P531, DOI 10.1007/s00248-001-1009-5
Brindefalk B, 2016, ENVIRON MICROBIOL, V18, P4442, DOI 10.1111/1462-2920.13407
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
CAPELLA JE, 1992, DEEP-SEA RES, V39, P1221, DOI 10.1016/0198-0149(92)90065-2
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
Czech L, 2020, BIOINFORMATICS, V36, P3263, DOI 10.1093/bioinformatics/btaa070
Nguyen D, 2015, ISME J, V9, P1835, DOI 10.1038/ismej.2015.1
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Deppeler SL, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00040
Hoang DT, 2018, MOL BIOL EVOL, V35, P518, DOI 10.1093/molbev/msx281
Dubinsky V, 2017, ENVIRON MICROBIOL, V19, P1077, DOI 10.1111/1462-2920.13624
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Finn RD, 2017, NUCLEIC ACIDS RES, V45, pD190, DOI 10.1093/nar/gkw1107
Finn RD, 2016, NUCLEIC ACIDS RES, V44, pD279, DOI 10.1093/nar/gkv1344
Fu LM, 2012, BIOINFORMATICS, V28, P3150, DOI 10.1093/bioinformatics/bts565
Fuentes S, 2019, POLAR BIOL, V42, P159, DOI 10.1007/s00300-018-2411-5
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw8855
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Harrel F., 2015, PACKAGE HMISC V40 0
Hassanzadeh B, 2021, ENV MICROBIOL REP, V13, P401, DOI 10.1111/1758-2229.12948
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Katoh K, 2019, BRIEF BIOINFORM, V20, P1160, DOI 10.1093/bib/bbx108
Kendall M. G., 1948, Rank correlation methods.
Kenwell A, 2016, SCI TOTAL ENVIRON, V563, P386, DOI 10.1016/j.scitotenv.2016.04.014
Kim SH, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-58023-5
Kirchman DL, 2014, AQUAT MICROB ECOL, V73, P41, DOI 10.3354/ame01709
Koh EY, 2010, APPL ENVIRON MICROB, V76, P5918, DOI 10.1128/AEM.00562-10
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Llanillo PJ, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-54875-8
López JL, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw216
Maresca JA, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.00137-18
Moffat C, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0164
Moritz S, 2017, R J, V9, P207
Oksanen, 2022, VEGAN COMMUNITY ECOL
Olson DK, 2018, ISME J, V12, P1047, DOI 10.1038/s41396-018-0074-4
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Ottesen EA, 2011, ISME J, V5, P1881, DOI 10.1038/ismej.2011.70
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Peck LS, 2010, GLOBAL CHANGE BIOL, V16, P2614, DOI 10.1111/j.1365-2486.2009.02071.x
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
R Core Team, 2020, R LANG ENV STAT COMP
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
Rozema PD, 2017, DEEP-SEA RES PT II, V139, P151, DOI 10.1016/j.dsr2.2016.11.016
Schmieder R, 2011, BIOINFORMATICS, V27, P863, DOI 10.1093/bioinformatics/btr026
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Sieradzki ET, 2018, PEERJ, V6, DOI 10.7717/peerj.5798
Strickland J.D.H., 1968, B FISH RES BOARD CAN, V167, P310, DOI [10.1002/iroh.19700550118, DOI 10.1002/IROH.19700550118]
Tillett D, 2000, J PHYCOL, V36, P251, DOI 10.1046/j.1529-8817.2000.99079.x
Trefault N, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-020-80568-8
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vernet M, 2008, DEEP-SEA RES PT II, V55, P2068, DOI 10.1016/j.dsr2.2008.05.021
Wei T., 2016, CORRPLOT PACKAGE
Wheeler TJ, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/1471-2105-15-7
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
NR 83
TC 3
Z9 4
PD JUL-AUG
PY 2021
VL 6
IS 4
AR e00525-21
DI 10.1128/mSphere.00525-21
UT WOS:000753900100005
DA 2025-07-30
ER
PT J
AU Fuchsman, CA
Devol, AH
Saunders, JK
McKay, C
Rocap, G
AF Fuchsman, Clara A.
Devol, Allan H.
Saunders, Jaclyn K.
McKay, Cedar
Rocap, Gabrielle
TI Niche Partitioning of the N Cycling Microbial Community of an Offshore
Oxygen Deficient Zone
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Microbial communities in marine oxygen deficient zones (ODZs) are responsible for up to half of marine N loss through conversion of nutrients to N2O and N-2. This N loss is accomplished by a consortium of diverse microbes, many of which remain uncultured. Here, we characterize genes for all steps in the anoxic N cycle in metagenomes from the water column and >30 mu m particles from the Eastern Tropical North Pacific (ETNP) ODZ. We use an approach that allows for both phylogenetic identification and semi-quantitative assessment of gene abundances from individual organisms, and place these results in context of chemical measurements and rate data from the same location. Denitrification genes were enriched in >30 mu m particles, even in the oxycline, while anammox bacteria were not abundant on particles. Many steps in denitrification were encoded by multiple phylotypes with different distributions. Notably three N2O reductases (nosZ), each with no cultured relative, inhabited distinct niches; one was free-living, one dominant on particles and one had a C terminal extension found in autotrophic S-oxidizing bacteria. At some depths > 30% of the community possessed nitrite reductase nirK. A nirK OTU linked to SAR11 explained much of this abundance. The only bacterial gene found for NO reduction to N2O in the ODZ was a form of qnor B related to the previously postulated "nitric oxide dismutase," hypothesized to produce N-2 directly while oxidizing methane. However, similar qnor B-like genes are also found in the published genomes of many bacteria that do not oxidize methane, and here the qnorB-like genes did not correlate with the presence of methane oxidation genes. Correlations with N2O concentrations indicate that these qnorB-like genes likely facilitate NO reduction to N2O in the ODZ. In the oxycline, qnorB-like genes were not detected in the water column, and estimated N2O production rates from ammonia oxidation were insufficient to support the observed oxycline N2O maximum. However, both qnorB-like and nosZ genes were present within particles in the oxycline, suggesting a particulate source of N2O and N-2. Together, our analyses provide a holistic view of the diverse players in the low oxygen nitrogen cycle.
C1 [Fuchsman, Clara A.; Devol, Allan H.; Saunders, Jaclyn K.; McKay, Cedar; Rocap, Gabrielle] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
RP Fuchsman, CA; Rocap, G (corresponding author), Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
EM cfuchsm1@u.washington.edu; rocap@u.washington.edu
CR Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], 2012, ARXIV12034802QBICOGN
[Anonymous], BIOGEOSCI DISCUSS
[Anonymous], 2012, MICROBIOL
[Anonymous], TECHNICAL REPORT
[Anonymous], 2015, PEERJ PREPRINTS, DOI DOI 10.7287/PEERJ.PREPRINTS.890V1
[Anonymous], NUCL ACID RES
Babbin AR, 2015, SCIENCE, V348, P1127, DOI 10.1126/science.aaa8380
Babbin AR, 2014, SCIENCE, V344, P406, DOI 10.1126/science.1248364
Berger SA, 2011, BIOINFORMATICS, V27, P2068, DOI 10.1093/bioinformatics/btr320
Berger SA, 2011, SYST BIOL, V60, P291, DOI 10.1093/sysbio/syr010
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bowen JL, 2015, MICROB ECOL, V70, P311, DOI 10.1007/s00248-015-0582-y
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Castro-González M, 2015, REV BIOL MAR OCEANOG, V50, P95, DOI 10.4067/S0718-19572015000100008
Chang BX, 2014, LIMNOL OCEANOGR, V59, P1267, DOI 10.4319/lo.2014.59.4.1267
Chang BX, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2011GB004207
Chang BX, 2010, DEEP-SEA RES PT I, V57, P1092, DOI 10.1016/j.dsr.2010.05.009
CLEGG SL, 1990, DEEP-SEA RES, V37, P809, DOI 10.1016/0198-0149(90)90008-J
COHEN Y, 1978, DEEP-SEA RES, V25, P509, DOI 10.1016/0146-6291(78)90640-9
Crusoe Michael R, 2015, F1000Res, V4, P900, DOI 10.12688/f1000research.6924.1
Dalsgaard T, 2014, MBIO, V5, DOI 10.1128/mBio.01966-14
Dalsgaard T, 2012, LIMNOL OCEANOGR, V57, P1331, DOI 10.4319/lo.2012.57.5.1331
Damsté JSS, 2002, NATURE, V419, P708, DOI 10.1038/nature01128
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Deutsch C, 2011, SCIENCE, V333, P336, DOI 10.1126/science.1202422
Devol AH, 2003, NATURE, V422, P575, DOI 10.1038/422575a
DeVries T, 2013, BIOGEOSCIENCES, V10, P2481, DOI 10.5194/bg-10-2481-2013
Eddy SR, 2011, PLOS COMPUT BIOL, V7, DOI 10.1371/journal.pcbi.1002195
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Ettwig KF, 2010, NATURE, V464, P543, DOI 10.1038/nature08883
Fuchsman CA, 2006, APPL ENVIRON MICROB, V72, P6841, DOI 10.1128/AEM.00429-06
Fuchsman CA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00257
Fuchsman CA, 2012, FEMS MICROBIOL ECOL, V80, P402, DOI 10.1111/j.1574-6941.2012.01306.x
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Garcia-Robledo E, 2017, P NATL ACAD SCI USA, V114, P8319, DOI 10.1073/pnas.1619844114
Glass JB, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00998
Haft DH, 2013, NUCLEIC ACIDS RES, V41, pD387, DOI 10.1093/nar/gks1234
Hannig M, 2007, LIMNOL OCEANOGR, V52, P1336, DOI 10.4319/lo.2007.52.4.1336
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Hughes MN, 2008, METHOD ENZYMOL, V436, P3, DOI 10.1016/S0076-6879(08)36001-7
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jayakumar A, 2013, AQUAT MICROB ECOL, V70, P245, DOI 10.3354/ame01654
Jensen MM, 2011, ISME J, V5, P1660, DOI 10.1038/ismej.2011.44
Ji QX, 2015, GEOPHYS RES LETT, V42, P10755, DOI 10.1002/2015GL066853
Jones CM, 2008, MOL BIOL EVOL, V25, P1955, DOI 10.1093/molbev/msn146
Kalvelage T, 2013, NAT GEOSCI, V6, P228, DOI [10.1038/ngeo1739, 10.1038/NGEO1739]
Kampschreur MJ, 2011, WATER RES, V45, P5945, DOI 10.1016/j.watres.2011.08.056
Kozlowski JA, 2016, ISME J, V10, P1836, DOI 10.1038/ismej.2016.2
Lam P, 2011, BIOGEOSCIENCES, V8, P1565, DOI 10.5194/bg-8-1565-2011
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Löscher CR, 2012, BIOGEOSCIENCES, V9, P2419, DOI 10.5194/bg-9-2419-2012
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Lüke C, 2016, PEERJ, V4, DOI 10.7717/peerj.1924
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Pack MA, 2015, J GEOPHYS RES-BIOGEO, V120, P1078, DOI 10.1002/2014JG002900
Padilla CC, 2016, ISME J, V10, P2067, DOI 10.1038/ismej.2015.262
Peng XF, 2015, GLOBAL BIOGEOCHEM CY, V29, P2034, DOI 10.1002/2015GB005278
Penn J, 2016, GEOPHYS RES LETT, V43, P9773, DOI 10.1002/2016GL070438
Peters BD, 2016, GLOBAL BIOGEOCHEM CY, V30, P1661, DOI 10.1002/2016GB005415
Ploug H, 1999, MAR ECOL PROG SER, V179, P1, DOI 10.3354/meps179001
Ploug H, 1997, AQUAT MICROB ECOL, V13, P285, DOI 10.3354/ame013285
Pruitt KD, 2007, NUCLEIC ACIDS RES, V35, pD61, DOI 10.1093/nar/gkl842
Punta M., 2012, Nucleic Acids Res 40 D290X D301, V30, P1, DOI [10.1093/nar/gkp985, DOI 10.1093/NAR/GKP985]
Santoro AE, 2011, SCIENCE, V333, P1282, DOI 10.1126/science.1208239
Saunders JK, 2016, ISME J, V10, P197, DOI 10.1038/ismej.2015.85
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Spieck E., 2015, BERGEYS MANUAL SYSTE, P1, DOI [10.1002/9781118960608.bm00016, DOI 10.1002/9781118960608.BM00016]
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stief P, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00152
Stief P, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00098
The UniProt Consortium, 2021, NUCLEIC ACIDS RES, V49, pD480, DOI [DOI 10.1093/nar/gkh131, 10.1093/nar/gkac1052, 10.1093/nar/gkaa1100]
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
van de Vossenberg J, 2013, ENVIRON MICROBIOL, V15, P1275, DOI 10.1111/j.1462-2920.2012.02774.x
Ward BB, 2009, NATURE, V461, P78, DOI 10.1038/nature08276
Wilson ST, 2014, DEEP-SEA RES PT I, V85, P47, DOI 10.1016/j.dsr.2013.11.008
Yamagishi H, 2007, J GEOPHYS RES-BIOGEO, V112, DOI 10.1029/2006JG000227
Zerbino DR, 2010, CURR PROTOC BIOINFOR, V11, P11, DOI DOI 10.1002/0471250953.BI1105S31
Zumft WG, 1997, MICROBIOL MOL BIOL R, V61, P533, DOI 10.1128/.61.4.533-616.1997
NR 85
TC 66
Z9 70
PD DEC 5
PY 2017
VL 8
AR 2384
DI 10.3389/fmicb.2017.02384
UT WOS:000417045800001
DA 2025-07-30
ER
PT J
AU Patin, NV
Goodwin, KD
AF Patin, N. V.
Goodwin, K. D.
TI Long-Read Sequencing Improves Recovery of Picoeukaryotic Genomes and
Zooplankton Marker Genes from Marine Metagenomes
SO MSYSTEMS
DT Article
AB Ocean microbes provide critical ecosystem services, but most remain uncultivated. Their communities can be studied through shotgun metagenomic sequencing and bioinformatic analyses, including binning draft microbial genomes.
Long-read sequencing offers the potential to improve metagenome assemblies and provide more robust assessments of microbial community composition and function than short-read sequencing. We applied Pacific Biosciences (PacBio) CCS (circular consensus sequencing) HiFi shotgun sequencing to 14 marine water column samples and compared the results with those for short-read metagenomes from the corresponding environmental DNA samples. We found that long-read metagenomes varied widely in quality and biological information. The community compositions of the corresponding long- and short-read metagenomes were frequently dissimilar, suggesting higher stochasticity and/or bias associated with PacBio sequencing. Long reads provided few improvements to the assembly qualities, gene annotations, and prokaryotic metagenome-assembled genome (MAG) binning results. However, only long reads produced high-quality eukaryotic MAGs and contigs containing complete zooplankton marker gene sequences. These results suggest that high-quality long-read metagenomes can improve marine community composition analyses and provide important insight into eukaryotic phyto- and zooplankton genetics, but the benefits may be outweighed by the inconsistent data quality.IMPORTANCE Ocean microbes provide critical ecosystem services, but most remain uncultivated. Their communities can be studied through shotgun metagenomic sequencing and bioinformatic analyses, including binning draft microbial genomes. However, most sequencing to date has been done using short-read technology, which rarely yields genome sequences of key microbes like SAR11. Long-read sequencing can improve metagenome assemblies but is hampered by technological shortcomings and high costs. In this study, we compared long- and short-read sequencing of marine metagenomes. We found a wide range of long-read metagenome qualities and minimal improvements to microbiome analyses. However, long reads generated draft genomes of eukaryotic algal species and provided full-length marker gene sequences of zooplankton species, including krill and copepods. These results suggest that long-read sequencing can provide greater genetic insight into the wide diversity of eukaryotic phyto- and zooplankton that interact as part of and with the marine microbiome.
C1 [Patin, N. V.; Goodwin, K. D.] NOAA, Ocean Chem & Ecosyst Div, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA.
[Patin, N. V.] Univ Miami, Cooperat Inst Marine & Atmospher Studies, Rosenstiel Sch Marine Atmospher & Earth Sci, Miami, FL 33149 USA.
[Patin, N. V.; Goodwin, K. D.] NOAA, Southwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, La Jolla, CA 92037 USA.
RP Patin, NV (corresponding author), NOAA, Ocean Chem & Ecosyst Div, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA.; Patin, NV (corresponding author), Univ Miami, Cooperat Inst Marine & Atmospher Studies, Rosenstiel Sch Marine Atmospher & Earth Sci, Miami, FL 33149 USA.; Patin, NV (corresponding author), NOAA, Southwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, La Jolla, CA 92037 USA.
EM nastassia.patin@noaa.gov
CR Anderson RE, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01228-6
[Anonymous], 2018, "Vegan: Community Ecology Package."
Antipov D, 2016, BIOINFORMATICS, V32, P1009, DOI 10.1093/bioinformatics/btv688
Aylward FO, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00415-20
BATCHELDER HP, 1985, DEEP-SEA RES, V32, P949, DOI 10.1016/0198-0149(85)90038-X
Bisanz J. E., 2018, QIIME2R IMPORTING QI
Boratyn GM, 2019, BMC BIOINFORMATICS, V20, DOI 10.1186/s12859-019-2996-x
Brown CT, 2016, JOSS, V1, P27, DOI DOI 10.21105/JOSS.00027
Buchfink B, 2021, NAT METHODS, V18, P366, DOI 10.1038/s41592-021-01101-x
Busi SB, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00030-2
Callahan BJ, 2019, NUCLEIC ACIDS RES, V47, DOI 10.1093/nar/gkz569
Caron DA, 2017, NAT REV MICROBIOL, V15, P6, DOI 10.1038/nrmicro.2016.160
Caron DA, 2009, ISME J, V3, P4, DOI 10.1038/ismej.2008.101
Castelle CJ, 2018, CELL, V172, P1181, DOI 10.1016/j.cell.2018.02.016
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Chen SF, 2018, BIOINFORMATICS, V34, P884, DOI 10.1093/bioinformatics/bty560
Colatriano D, 2018, COMMUN BIOL, V1, DOI 10.1038/s42003-018-0086-7
D'Alelio Domenico, 2019, Current Opinion in Systems Biology, V13, P68, DOI 10.1016/j.coisb.2018.10.003
Danecek P, 2021, GIGASCIENCE, V10, DOI 10.1093/gigascience/giab008
de Vargas C, 2015, SCIENCE, V348, DOI 10.1126/science.1261605
del Campo J, 2014, TRENDS ECOL EVOL, V29, P252, DOI 10.1016/j.tree.2014.03.006
Delmont TO, 2022, CELL GENOM, V2, DOI 10.1016/j.xgen.2022.100123
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Douglas GM, 2019, GENOME BIOL EVOL, V11, P2750, DOI 10.1093/gbe/evz184
Duncan A, 2022, MICROBIOME, V10, DOI 10.1186/s40168-022-01254-7
Earl JP, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0569-2
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
Eren AM, 2021, NAT MICROBIOL, V6, P3, DOI 10.1038/s41564-020-00834-3
Feng XW, 2022, NAT METHODS, V19, P671, DOI 10.1038/s41592-022-01478-3
Fisher JL, 2015, GLOBAL CHANGE BIOL, V21, P4401, DOI 10.1111/gcb.13054
Frank JA, 2016, SCI REP-UK, V6, DOI 10.1038/srep25373
Gehrig JL, 2022, MICROB GENOMICS, V8, DOI 10.1099/mgen.0.000794
Ghurye Jay S., 2016, Yale Journal of Biology and Medicine, V89, P353
Gruber-Vodicka HR, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00920-20
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Harvey JBJ, 2017, J EXP MAR BIOL ECOL, V487, P113, DOI 10.1016/j.jembe.2016.12.002
Heeger F, 2018, MOL ECOL RESOUR, V18, P1500, DOI 10.1111/1755-0998.12937
Hogle SL, 2022, ISME J, V16, P1636, DOI 10.1038/s41396-022-01215-w
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Irber LC, 2022, bioRxiv, DOI [10.1101/2022.01.11.475838, 10.1101/2022.01.11.475838v2, 10.1101/2022.01.11.475838, DOI 10.1101/2022.01.11.475838]
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Keeling PJ, 2014, PLOS BIOL, V12, DOI 10.1371/journal.pbio.1001889
Kirkham AR, 2013, ISME J, V7, P922, DOI 10.1038/ismej.2012.166
Kolmogorov M, 2020, NAT METHODS, V17, P1103, DOI 10.1038/s41592-020-00971-x
Letunic I, 2019, NUCLEIC ACIDS RES, V47, pW256, DOI 10.1093/nar/gkz239
Li H, 2018, BIOINFORMATICS, V34, P3094, DOI 10.1093/bioinformatics/bty191
Lilly LE, 2021, PROG OCEANOGR, V193, DOI 10.1016/j.pocean.2021.102544
Manni M, 2021, MOL BIOL EVOL, V38, P4647, DOI 10.1093/molbev/msab199
Martijn J, 2019, ENVIRON MICROBIOL, V21, P2485, DOI 10.1111/1462-2920.14636
Martinez -Gutierrez C.A., 2022, The Marine Microbiome, P327, DOI DOI 10.1007/978-3-030-90383-17
Martino C, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00016-19
Mikheenko A, 2016, BIOINFORMATICS, V32, P1088, DOI 10.1093/bioinformatics/btv697
Moreau H, 2012, GENOME BIOL, V13, DOI 10.1186/gb-2012-13-8-r74
Needham DM, 2018, ISME J, V12, P2417, DOI 10.1038/s41396-018-0169-y
Nissen JN, 2021, NAT BIOTECHNOL, V39, P555, DOI 10.1038/s41587-020-00777-4
Nurk S, 2017, GENOME RES, V27, P824, DOI 10.1101/gr.213959.116
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Overholt WA, 2020, ENVIRON MICROBIOL, V22, P4000, DOI 10.1111/1462-2920.15186
Palenik B, 2007, P NATL ACAD SCI USA, V104, P7705, DOI 10.1073/pnas.0611046104
Parks DH, 2022, NUCLEIC ACIDS RES, V50, pD785, DOI 10.1093/nar/gkab776
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pierce N Tessa, 2019, F1000Res, V8, P1006, DOI 10.12688/f1000research.19675.1
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rii YM, 2016, LIMNOL OCEANOGR, V61, P806, DOI 10.1002/lno.10255
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Ruiz-Perez CA, 2021, BMC BIOINFORMATICS, V22, DOI 10.1186/s12859-020-03940-5
Schloss PD, 2016, PEERJ, V4, DOI 10.7717/peerj.1869
Shen W, 2021, J GENET GENOMICS, V48, P844, DOI 10.1016/j.jgg.2021.03.006
Sibbald SJ, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0145
Somerville V, 2019, BMC MICROBIOL, V19, DOI 10.1186/s12866-019-1500-0
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Tamura K, 2021, MOL BIOL EVOL, V38, P3022, DOI 10.1093/molbev/msab120
Tedersoo L, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.00626-21
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wenger AM, 2019, NAT BIOTECHNOL, V37, P1155, DOI 10.1038/s41587-019-0217-9
White RA III, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00045-16
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Wu YW, 2016, BIOINFORMATICS, V32, P605, DOI 10.1093/bioinformatics/btv638
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 83
TC 14
Z9 15
PD DEC
PY 2022
VL 7
IS 6
DI 10.1128/msystems.00595-22
EA NOV 2022
UT WOS:000892557700001
DA 2025-07-30
ER
PT J
AU Silva, BSD
Coutinho, FH
Gregoracci, GB
Leomil, L
de Oliveira, LS
Fróes, A
Tschoeke, D
Soares, AC
Cabral, AS
Ward, ND
Richey, JE
Krusche, AV
Yager, PL
de Rezende, CE
Thompson, CC
Thompson, FL
AF Silva, Bruno S. de O.
Coutinho, Felipe H.
Gregoracci, Gustavo B.
Leomil, Luciana
de Oliveira, Louisi S.
Froes, Adriana
Tschoeke, Diogo
Soares, Ana Carolina
Cabral, Anderson S.
Ward, Nicholas D.
Richey, Jeffrey E.
Krusche, Alex V.
Yager, Patricia L.
de Rezende, Carlos Eduardo
Thompson, Cristiane C.
Thompson, Fabiano L.
TI Virioplankton Assemblage Structure in the Lower River and Ocean
Continuum of the Amazon
SO MSPHERE
DT Article
AB The Amazon River watershed and its associated plume comprise a vast continental and oceanic area. The microbial activities along this continuum contribute substantially to global carbon and nutrient cycling, and yet there is a dearth of information on the diversity, abundance, and possible roles of viruses in this globally important river. The aim of this study was to elucidate the diversity and structure of virus assemblages of the Amazon River-ocean continuum. Environmental viral DNA sequences were obtained for 12 locations along the river's lower reach (n = 5) and plume (n = 7). Sequence assembly yielded 29,358 scaffolds, encoding 82,546 viral proteins, with 15 new complete viral genomes. Despite the spatial connectivity mediated by the river, virome analyses and physical-chemical water parameters clearly distinguished river and plume ecosystems. Bacteriophages were ubiquitous in the continuum and were more abundant in the transition region. Eukaryotic viruses occurred mostly in the river, while the plume had more viruses of autotrophic organisms (Prochlorococcus, Synechococcus) and heterotrophic bacteria (Pelagibacter). The viral families Microviridae and Myoviridae were the most abundant and occurred throughout the continuum. The major functions of the genes in the continuum involved viral structures and life cycles, and viruses from plume locations and Tapajos River showed the highest levels of functional diversity. The distribution patterns of the viral assemblages were defined not only by the occurrence of possible hosts but also by water physical and chemical parameters, especially salinity. The findings presented here help to improve understanding of the possible roles of viruses in the organic matter cycle along the river-ocean continuum.
IMPORTANCE The Amazon River forms a vast plume in the Atlantic Ocean that can extend for more than 1,000 km. Microbial communities promote a globally relevant carbon sink system in the plume. Despite the importance of viruses for the global carbon cycle, the diversity and the possible roles of viruses in the Amazon are poorly understood. The present work assesses, for the first time, the abundance and diversity of viruses simultaneously in the river and ocean in order to elucidate their possible roles. DNA sequence assembly yielded 29,358 scaffolds, encoding 82,546 viral proteins, with 15 new complete viral genomes from the 12 river and ocean locations. Viral diversity was clearly distinguished by river and ocean. Bacteriophages were the most abundant and occurred throughout the continuum. Viruses that infect eukaryotes were more abundant in the river, whereas phages appeared to have strong control over the host prokaryotic populations in the plume.
C1 [Silva, Bruno S. de O.; Coutinho, Felipe H.; Leomil, Luciana; de Oliveira, Louisi S.; Froes, Adriana; Tschoeke, Diogo; Soares, Ana Carolina; Thompson, Cristiane C.; Thompson, Fabiano L.] Fed Univ Rio de Janeiro UFRJ, Inst Biol, Lab Microbiol, Rio De Janeiro, RJ, Brazil.
[Leomil, Luciana; de Oliveira, Louisi S.; Froes, Adriana; Tschoeke, Diogo; Thompson, Cristiane C.; Thompson, Fabiano L.] Fed Univ Rio de Janeiro UFRJ, COPPE Technol Management Ctr CT2, Lab Adv Prod Management Syst SAGE, Rio De Janeiro, RJ, Brazil.
[Coutinho, Felipe H.] Radboud Univ Nijmegen, Med Ctr, Radboud Inst Mol Life Sci, Ctr Mol & Biomol Informat, Nijmegen, Netherlands.
[Gregoracci, Gustavo B.] UNIFESP Baixada Santista, Dept Marine Sci, Santos, SP, Brazil.
[Tschoeke, Diogo] Fed Univ Rio de Janeiro UFRJ, Ctr Ecol & Socioenvironm Dev, NUPEM UFRJ, Macae, RJ, Brazil.
[Cabral, Anderson S.] Fed Univ Rio de Janeiro UFRJ, Inst Biol, Lab Hydrobiol, Rio De Janeiro, RJ, Brazil.
[Ward, Nicholas D.] Pacific Northwest Natl Lab, Marine Sci Lab, Sequim, WA USA.
[Richey, Jeffrey E.] Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
[Krusche, Alex V.] Fed Univ Sao Paulo USP, Ctr Nucl Energy Agr CENA, Piracicaba, SP, Brazil.
[Yager, Patricia L.] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[de Rezende, Carlos Eduardo] Darcy Ribeiro State Univ Northern Rio de Janeiro, Lab Environm Sci, Campos, RJ, Brazil.
RP Thompson, FL (corresponding author), Fed Univ Rio de Janeiro UFRJ, Inst Biol, Lab Microbiol, Rio De Janeiro, RJ, Brazil.; Thompson, FL (corresponding author), Fed Univ Rio de Janeiro UFRJ, COPPE Technol Management Ctr CT2, Lab Adv Prod Management Syst SAGE, Rio De Janeiro, RJ, Brazil.
EM fabianothompson1@gmail.com
CR Abubucker S, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002358
de Cárcer DA, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400127
Almeida RM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00158
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Anderson M. J., 2005, PERMANOVA FORTRAN CO
Anderson MJ, 2003, ECOLOGY, V84, P511, DOI 10.1890/0012-9658(2003)084[0511:CAOPCA]2.0.CO;2
Andrade L, 2003, J MICROBIOL METH, V55, P841, DOI 10.1016/j.mimet.2003.08.002
Anesio AM, 2004, APPL ENVIRON MICROB, V70, P4848, DOI 10.1128/AEM.70.8.4848-4854.2004
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
[Anonymous], TIDAL CURRENT PREDIC
[Anonymous], CHINA VIRUSES
[Anonymous], SIST NAC INF REC HID
[Anonymous], VIR TAX 2016 REL
[Anonymous], AMAZONIA
[Anonymous], 1996, 19 JGOFS UNESCO
[Anonymous], 1933, Analysis of a Complex of Statistical Variables Into Principal Components
[Anonymous], 2021, IEEE Trans. Broadcast.
[Anonymous], IAHS PUBLICATION
[Anonymous], MAP BIOM VEG
[Anonymous], EST INPE IND QUE RIO
Auguet JC, 2006, MICROB ECOL, V51, P197, DOI 10.1007/s00248-005-0043-0
Auguet JC, 2005, MICROB ECOL, V50, P337, DOI 10.1007/s00248-005-0183-2
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Barros N, 2010, APPL ENVIRON MICROB, V76, P7194, DOI 10.1128/AEM.01161-10
Bongiorni L, 2005, APPL ENVIRON MICROB, V71, P6644, DOI 10.1128/AEM.71.11.6644-6650.2005
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Brum JR, 2016, ISME J, V10, P437, DOI 10.1038/ismej.2015.125
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum MC, 2007, MINER ENG, V20, P945, DOI 10.1016/j.mineng.2007.03.004
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Campos RK, 2014, VIROL J, V11, DOI 10.1186/1743-422X-11-95
Caspi R, 2016, NUCLEIC ACIDS RES, V44, pD471, DOI 10.1093/nar/gkv1164
Cassman N, 2012, ENVIRON MICROBIOL, V14, P3043, DOI 10.1111/j.1462-2920.2012.02891.x
Coles VJ, 2013, J GEOPHYS RES-OCEANS, V118, P6894, DOI 10.1002/2013JC008981
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
Dann LM, 2016, MICROBIOLOGYOPEN, V5, P1071, DOI 10.1002/mbo3.392
Danovaro R, 2011, FEMS MICROBIOL REV, V35, P993, DOI 10.1111/j.1574-6976.2010.00258.x
Dutilh BE, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5498
Garcia GD, 2013, MICROB ECOL, V65, P1076, DOI 10.1007/s00248-012-0161-4
Geyer R.W., 1991, Oceanography, V4, P8
Ghai R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023785
Gimenes MV, 2012, ISME J, V6, P237, DOI 10.1038/ismej.2011.93
Goes JI, 2014, PROG OCEANOGR, V120, P29, DOI 10.1016/j.pocean.2013.07.010
Gregoraccl GB, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0137090
Hurwitz BL, 2015, ISME J, V9, P472, DOI 10.1038/ismej.2014.143
Hurwitz BL, 2014, P NATL ACAD SCI USA, V111, P10714, DOI 10.1073/pnas.1319778111
Hurwitz BL, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r123
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kanehisa M, 2016, NUCLEIC ACIDS RES, V44, pD457, DOI 10.1093/nar/gkv1070
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Kosuth P, 2009, HYDROL PROCESS, V23, P3141, DOI 10.1002/hyp.7387
Kukkaro P, 2009, ENV MICROBIOL REP, V1, P71, DOI 10.1111/j.1758-2229.2008.00007.x
Labonte JM, 2013, ISME J, V7, P2169, DOI 10.1038/ismej.2013.110
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Ma LL, 2013, BIOMED RES INT, V2013, DOI 10.1155/2013/526362
MARANGER R, 1995, MAR ECOL PROG SER, V121, P217, DOI 10.3354/meps121217
MEADE RH, 1979, NATURE, V278, P161, DOI 10.1038/278161a0
Medeiros PM, 2015, GLOBAL BIOGEOCHEM CY, V29, P677, DOI 10.1002/2015GB005115
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Mojica KDA, 2014, FEMS MICROBIOL ECOL, V89, P495, DOI 10.1111/1574-6941.12343
Moura RL, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1501252
Oksanen J., 2010, Vegan: Community ecology package
Overbeek R, 2014, NUCLEIC ACIDS RES, V42, pD206, DOI 10.1093/nar/gkt1226
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Peduzzi P, 2016, BIOL REV, V91, P937, DOI 10.1111/brv.12202
Quaiser A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00375
R Core Team, 2014, R: a language and environment for statistical computing
Ren J, 2017, MICROBIOME, V5, DOI 10.1186/s40168-017-0283-5
RICHEY JE, 1986, WATER RESOUR RES, V22, P756, DOI 10.1029/WR022i005p00756
Rodrigue S, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011840
Roux S, 2015, ELIFE, V4, DOI 10.7554/eLife.08490
Salisbury J, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2011JC006989
Satinsky BM, 2015, MICROBIOME, V3, DOI 10.1186/s40168-015-0099-0
Satinsky BM, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-17
Schmieder R, 2011, BIOINFORMATICS, V27, P863, DOI 10.1093/bioinformatics/btr026
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Seidel M, 2015, MAR CHEM, V177, P218, DOI 10.1016/j.marchem.2015.06.019
Shannon CE., 1949, MATH THEORY INFORM
SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0
Sioli H., 2012, The Amazon: Limnology and Landscape Ecology of a Mighty Tropical River and its Basin, DOI DOI 10.1007/978-94-009-6542-3_5
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Subramaniam A, 2008, P NATL ACAD SCI USA, V105, P10460, DOI 10.1073/pnas.0710279105
Sullivan MJ, 2011, BIOINFORMATICS, V27, P1009, DOI 10.1093/bioinformatics/btr039
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Thurber RV, 2009, NAT PROTOC, V4, P470, DOI 10.1038/nprot.2009.10
Ward ND, 2015, MAR CHEM, V177, P244, DOI 10.1016/j.marchem.2015.06.013
Ward ND, 2013, NAT GEOSCI, V6, P530, DOI [10.1038/ngeo1817, 10.1038/NGEO1817]
WEITZ J., 2016, bioRxiv
Weitz JS, 2015, ISME J, V9, P1352, DOI 10.1038/ismej.2014.220
Wilhelm SW, 2008, FRESHWATER BIOL, V53, P1076, DOI 10.1111/j.1365-2427.2008.01980.x
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Willner D, 2009, ENVIRON MICROBIOL, V11, P1752, DOI 10.1111/j.1462-2920.2009.01901.x
Zhang R, 2014, NAT REV MICROBIOL, V12, DOI 10.1038/nrmicro3384
NR 95
TC 12
Z9 16
PD SEP-OCT
PY 2017
VL 2
IS 5
AR e00366-17
DI 10.1128/mSphere.00366-17
UT WOS:000416998800022
DA 2025-07-30
ER
PT J
AU Pan, Y
Tao, Y
Yang, X
Du, SY
Ding, HG
Li, JX
Jia, HW
Chen, HH
AF Pan, Ying
Tao, Ye
Yang, Xian
Du, Siyi
Ding, Hongguang
Li, Jiaxin
Jia, Hanwen
Chen, Huaihai
TI Underlying mechanisms of spatial distribution of prokaryotic community
in surface seawater from Arctic Ocean to the Sea of Japan
SO MICROBIOLOGY SPECTRUM
DT Article
AB Microorganisms play critical roles in marine ecosystems, so understanding the factors shaping microbial communities across various oceanic regions is essential for predicting ecosystem resilience and biogeochemical cycles. This study investigated the marine prokaryotic communities across 22 stations spanning the Arctic Ocean, the Chukchi Sea, the Bering Sea, and the Sea of Japan, with an emphasis on how environmental factors shape these communities. Results showed that the microbial alpha diversity generally declines with increasing latitude, though Arctic Ocean stations exhibited higher Chao 1 indices compared to the Bering Sea. Beta diversity analyses revealed that temperature and salinity were key factors associated with community composition variation across latitudes. Proteobacteria and Cyanobacteria were the dominant phyla showing opposite distribution trends across sampling stations. Cold-adapted oligotrophs such as Planktomarina and the SAR11 clade thrived in Arctic waters, while Sphingomonas, known for pollutant degradation, was more abundant in the Sea of Japan. Temperature was positively correlated to the relative abundance of Sphingomonas. At broad spatial scales, stochastic processes dominated community assembly of microbial phylogenetic diversity, while in specific regions like the Arctic Ocean, deterministic homogeneous selection appeared to shape microbial communities; and temperature showed a pronounced influence on phylogenetic turnover across all samples. Co-occurrence networks identified several key taxa, such as Polaribacter_1, Candidatus_Aquiluna, and NS5_marine_group. Overall, the study underscores temperature's role in shaping microbial community diversity, composition, and assembly processes across latitudinal gradients, highlighting unique community adaptations to extreme environments.IMPORTANCEMicrobes are the invisible engines of ocean health, recycling nutrients and sustaining marine life. This research helps us understand how climate factors like temperature shape these microscopic communities, which differ starkly between icy Arctic waters and warmer seas. As oceans warm due to climate change, microbial populations and their critical roles in cleaning pollutants or supporting food webs could shift dramatically. The study suggests Arctic microbes are uniquely adapted to cold, low-nutrient conditions, making them vulnerable to warming. By linking temperature to microbial diversity, this work provides clues to predict how marine ecosystems might respond to climate shifts, informing efforts to protect ocean biodiversity and processes vital to Earth's carbon and nutrient cycles.
C1 [Pan, Ying; Tao, Ye; Yang, Xian; Du, Siyi; Ding, Hongguang; Li, Jiaxin; Jia, Hanwen; Chen, Huaihai] Sun Yat Sen Univ, Sch Ecol, State Key Lab Biocontrol, Shenzhen Campus, Shenzhen, Guangdong, Peoples R China.
RP Chen, HH (corresponding author), Sun Yat Sen Univ, Sch Ecol, State Key Lab Biocontrol, Shenzhen Campus, Shenzhen, Guangdong, Peoples R China.
EM chenhh68@mail.sysu.edu.cn
CR Aalto NJ, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.892634
Amaral-Zettler Linda, 2010, P223
Armstrong CW, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00158
Arnold BJ, 2022, NAT REV MICROBIOL, V20, P206, DOI 10.1038/s41579-021-00650-4
Asaf S, 2020, CRIT REV BIOTECHNOL, V40, P138, DOI 10.1080/07388551.2019.1709793
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bar-On YM, 2018, P NATL ACAD SCI USA, V115, P6506, DOI 10.1073/pnas.1711842115
Bates NR, 2009, BIOGEOSCIENCES, V6, P2433, DOI 10.5194/bg-6-2433-2009
Bowman JP, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 6, THIRD EDITION, P920, DOI 10.1007/0-387-30746-x_35
Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
Currie DJ, 2004, ECOL LETT, V7, P1121, DOI 10.1111/j.1461-0248.2004.00671.x
Ding CL, 2021, BIOLOGY-BASEL, V10, DOI 10.3390/biology10030248
Edwards A, 2020, MICROB GENOMICS, V6, DOI 10.1099/mgen.0.000375
Farjalla VF, 2012, ECOLOGY, V93, P1752, DOI 10.1890/11-1144.1
Feng HY, 2022, PLANT SOIL, V477, P439, DOI 10.1007/s11104-022-05423-3
Fierer N, 2006, P NATL ACAD SCI USA, V103, P626, DOI 10.1073/pnas.0507535103
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Gundersen MJS, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-74696-8
Harding K, 2018, P NATL ACAD SCI USA, V115, P13371, DOI 10.1073/pnas.1813658115
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Ibarbalz FM, 2019, CELL, V179, P1084, DOI 10.1016/j.cell.2019.10.008
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kikuchi G, 2020, DEEP-SEA RES PT II, V181, DOI 10.1016/j.dsr2.2020.104905
Kong J, 2021, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.599614
Kuletz K, 2020, DEEP-SEA RES PT II, V181, DOI 10.1016/j.dsr2.2020.104913
Lee J, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-53427-4
Leibold MA, 2017, ECOLOGY, V98, P909, DOI 10.1002/ecy.1697
Ley RE, 2008, NAT REV MICROBIOL, V6, P776, DOI 10.1038/nrmicro1978
Li C, 2020, ADV FUNCT MATER, V30, DOI 10.1002/adfm.202001451
Liu J, 2019, ENVIRON POLLUT, V250, P284, DOI 10.1016/j.envpol.2019.03.127
Logares R, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00827-8
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Malard LA, 2018, ENV MICROBIOL REP, V10, P611, DOI 10.1111/1758-2229.12680
Martin K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25646-9
Ferreira JCN, 2022, PROG OCEANOGR, V201, DOI 10.1016/j.pocean.2021.102736
Nishimura S, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007355
Nishino S, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-41960-w
Philippot L, 2013, NAT REV MICROBIOL, V11, P789, DOI 10.1038/nrmicro3109
Prants SV, 2023, PURE APPL GEOPHYS, V180, P551, DOI 10.1007/s00024-022-03197-4
Qi D, 2022, SCIENCE, V377, P1544, DOI 10.1126/science.abo0383
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Raes J, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.6
Righetti D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau6253
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Shao QW, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.839562
Stegen JC, 2013, ISME J, V7, P2069, DOI 10.1038/ismej.2013.93
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Teoh F, 2020, ENVIRON MICROBIOL, V22, P1816, DOI 10.1111/1462-2920.14876
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
Tonelli M, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.636226
Welter DK, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00258-21
Wu WX, 2018, ISME J, V12, P485, DOI 10.1038/ismej.2017.183
Yu FB, 2013, J ENVIRON SCI HEAL B, V48, P198, DOI 10.1080/03601234.2013.730299
Zhang WP, 2020, MICROBIOME, V8, DOI [10.1186/s40168-020-00826-9, 10.3390/microorganisms8060953]
Zheng Q, 2015, FEMS MICROBIOL LETT, V362, DOI 10.1093/femsle/fnv034
Zheng XW, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00017
Zhou JZ, 2017, MICROBIOL MOL BIOL R, V81, DOI 10.1128/MMBR.00002-17
Zou Y, 2024, MAR POLLUT BULL, V199, DOI 10.1016/j.marpolbul.2023.116002
NR 60
TC 0
Z9 0
PD JUL 1
PY 2025
VL 13
IS 7
DI 10.1128/spectrum.00517-25
EA MAY 2025
UT WOS:001499026800001
DA 2025-07-30
ER
PT J
AU Tominaga, K
Ogawa-Haruki, N
Nishimura, Y
Watai, H
Yamamoto, K
Ogata, H
Yoshida, T
AF Tominaga, Kento
Ogawa-Haruki, Nana
Nishimura, Yosuke
Watai, Hiroyasu
Yamamoto, Keigo
Ogata, Hiroyuki
Yoshida, Takashi
TI Prevalence of Viral Frequency-Dependent Infection in Coastal Marine
Prokaryotes Revealed Using Monthly Time Series Virome Analysis
SO MSYSTEMS
DT Article
AB There is little room for doubt that viral infection is prevalent among abundant marine prokaryotes regardless of their taxa or growth strategy. However, comprehensive evaluations of viral infections in natural prokaryotic communities are still technically difficult.
Viruses infecting marine prokaryotes have a large impact on the diversity and dynamics of their hosts. Model systems suggest that viral infection is frequency dependent and constrained by the virus-host encounter rate. However, it is unclear whether frequency-dependent infection is pervasive among the abundant prokaryotic populations with different temporal dynamics. To address this question, we performed a comparison of prokaryotic and viral communities using 16S rRNA amplicon and virome sequencing based on samples collected monthly for 2 years at a Japanese coastal site, Osaka Bay. Concurrent seasonal shifts observed in prokaryotic and viral community dynamics indicated that the abundance of viruses correlated with that of their predicted host phyla (or classes). Cooccurrence network analysis between abundant prokaryotes and viruses revealed 6,423 cooccurring pairs, suggesting a tight coupling of host and viral abundances and their "one-to-many" correspondence. Although stable dominant species, such as SAR11, showed few cooccurring viruses, a fast succession of their viruses suggests that viruses infecting these populations changed continuously. Our results suggest that frequency-dependent viral infection prevails in coastal marine prokaryotes regardless of host taxa and temporal dynamics.IMPORTANCE There is little room for doubt that viral infection is prevalent among abundant marine prokaryotes regardless of their taxa or growth strategy. However, comprehensive evaluations of viral infections in natural prokaryotic communities are still technically difficult. In this study, we examined viral infection in abundant prokaryotes by monitoring the monthly dynamics of prokaryotic and viral communities at a eutrophic coastal site, Osaka Bay. We compared the community dynamics of viruses with those of their putative hosts based on genome-based in silico host prediction. We observed frequent cooccurrence among the predicted virus-host pairs, suggesting that viral infection is prevalent in abundant prokaryotes regardless of their taxa or temporal dynamics. This likely indicates that frequent lysis of the abundant prokaryotes via viral infection has a considerable contribution to the biogeochemical cycling and maintenance of prokaryotic community diversity.
C1 [Tominaga, Kento; Ogawa-Haruki, Nana; Watai, Hiroyasu; Yoshida, Takashi] Kyoto Univ, Grad Sch Agr, Kyoto, Japan.
[Tominaga, Kento] Univ Tokyo, Grad Sch Frontier Sci, Tokyo, Japan.
[Nishimura, Yosuke] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Yokosuka, Kanagawa, Japan.
[Yamamoto, Keigo] Res Inst Environm Agr & Fisheries, Osaka, Osaka, Japan.
[Ogata, Hiroyuki] Kyoto Univ, Inst Chem Res, Kyoto, Japan.
RP Yoshida, T (corresponding author), Kyoto Univ, Grad Sch Agr, Kyoto, Japan.; Ogata, H (corresponding author), Kyoto Univ, Inst Chem Res, Kyoto, Japan.
EM ogata@kuicr.kyoto-u.ac.jp; yoshida.takashi.7a@kyoto-u.ac.jp
CR Ahlgren NA, 2019, ENVIRON MICROBIOL, V21, P2948, DOI 10.1111/1462-2920.14687
ANDREWS JH, 1986, ADV MICROB ECOL, V9, P99
Aylward FO, 2017, P NATL ACAD SCI USA, V114, P11446, DOI 10.1073/pnas.1714821114
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bland C, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-209
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2015, NAT REV MICROBIOL, V13, P147, DOI 10.1038/nrmicro3404
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Chan PP, 2016, NUCLEIC ACIDS RES, V44, pD184, DOI 10.1093/nar/gkv1309
Chen F, 2001, APPL ENVIRON MICROB, V67, P539, DOI 10.1128/AEM.67.2.539-545.2001
Chow CET, 2012, ENVIRON MICROBIOL, V14, P2171, DOI 10.1111/j.1462-2920.2012.02744.x
Coenen AR, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00084-18
Cohan FM, 2007, CURR BIOL, V17, pR373, DOI 10.1016/j.cub.2007.03.032
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Csardi G., 2006, Complex Syst, V1695, P1
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Dixon P, 2003, J VEG SCI, V14, P927, DOI 10.1658/1100-9233(2003)014[0927:VAPORF]2.0.CO;2
Edwards RA, 2016, FEMS MICROBIOL REV, V40, P258, DOI 10.1093/femsre/fuv048
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fuhrman J.A., 1993, Oceanography, V6, P51, DOI [10.5670/oceanog.1993.14, DOI 10.5670/OCEANOG.1993.14]
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Grissa I, 2007, BMC BIOINFORMATICS, V8, DOI 10.1186/1471-2105-8-172
Hevroni G, 2020, P NATL ACAD SCI USA, V117, P29738, DOI 10.1073/pnas.2010783117
Hurwitz BL, 2013, ENVIRON MICROBIOL, V15, P1428, DOI 10.1111/j.1462-2920.2012.02836.x
Hwang J, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169841
Ignacio-Espinoza JC, 2020, NAT MICROBIOL, V5, P265, DOI 10.1038/s41564-019-0628-x
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
Kimura S, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00425
Kimura S, 2013, APPL ENVIRON MICROB, V79, P2789, DOI 10.1128/AEM.03751-12
Kimura S, 2012, APPL ENVIRON MICROB, V78, P5805, DOI 10.1128/AEM.00571-12
Kopf A, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0066-5
Koskella B, 2014, FEMS MICROBIOL REV, V38, P916, DOI 10.1111/1574-6976.12072
Krüger K, 2019, ISME J, V13, P2800, DOI 10.1038/s41396-019-0476-y
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Laslett D, 2004, NUCLEIC ACIDS RES, V32, P11, DOI 10.1093/nar/gkh152
Li H, 2011, BIOINFORMATICS, V27, P2987, DOI 10.1093/bioinformatics/btr509
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Luo E, 2017, MBIO, V8, DOI 10.1128/mBio.01903-17
Martinez-Hernandez F, 2020, ENV MICROBIOL REP, V12, P214, DOI 10.1111/1758-2229.12825
Martinez-Hernandez F, 2019, ISME J, V13, P232, DOI 10.1038/s41396-018-0278-7
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Mihara T, 2016, VIRUSES-BASEL, V8, DOI 10.3390/v8030066
Mizuno CM, 2016, MBIO, V7, DOI 10.1128/mBio.00805-16
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Nishimura Y, 2017, BIOINFORMATICS, V33, P2379, DOI 10.1093/bioinformatics/btx157
Nishimura Y, 2017, MSPHERE, V2, DOI 10.1128/mSphere.00359-16
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Oksanen, 2022, VEGAN COMMUNITY ECOL
Ozaki K, 2004, FISH OCEANOGR, V13, P65, DOI 10.1046/j.1365-2419.2003.00274.x
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Pagarete A, 2013, APPL ENVIRON MICROB, V79, P6253, DOI 10.1128/AEM.01075-13
Parada V, 2006, J MAR BIOL ASSOC UK, V86, P613, DOI 10.1017/S002531540601352X
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Prodinger F, 2021, FEMS MICROBIOL ECOL, V97, DOI 10.1093/femsec/fiab167
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rodriguez-Valera Francisco, 2009, Nat Rev Microbiol, V7, P828, DOI 10.1038/nrmicro2235
Rognes T, 2016, PEERJ, V4, DOI 10.7717/peerj.2584
Roux S, 2019, NAT BIOTECHNOL, V37, P29, DOI 10.1038/nbt.4306
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Roux S, 2015, PEERJ, V3, DOI 10.7717/peerj.985
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
SUTTLE CA, 1994, APPL ENVIRON MICROB, V60, P3167, DOI 10.1128/AEM.60.9.3167-3174.1994
SUTTLE CA, 1993, MAR ECOL PROG SER, V92, P99, DOI 10.3354/meps092099
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Takahashi S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105592
Takebe H, 2020, MICROBES ENVIRON, V35, DOI 10.1264/jsme2.ME20033
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Tikhonov M, 2015, ISME J, V9, P68, DOI 10.1038/ismej.2014.117
Tominaga K, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00738
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Tully BJ, 2017, PEERJ, V5, DOI 10.7717/peerj.3558
Tyner S, 2017, R J, V9, P27
Våge S, 2013, ENVIRON MICROBIOL, V15, P1842, DOI 10.1111/1462-2920.12077
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
WIGGINS BA, 1985, APPL ENVIRON MICROB, V49, P19, DOI 10.1128/AEM.49.1.19-23.1985
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Xia LC, 2013, BIOINFORMATICS, V29, P230, DOI 10.1093/bioinformatics/bts668
Xia LC, 2011, BMC SYST BIOL, V5, DOI 10.1186/1752-0509-5-S2-S15
Yeh YC, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00121-8
Yoshida T, 2018, ISME J, V12, P1287, DOI 10.1038/s41396-018-0052-x
Zborowsky S, 2019, P NATL ACAD SCI USA, V116, P16899, DOI 10.1073/pnas.1906897116
Zhang ZF, 2021, ENVIRON MICROBIOL, V23, P1145, DOI 10.1111/1462-2920.15272
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 103
TC 7
Z9 7
PD FEB 23
PY 2023
VL 8
IS 1
DI 10.1128/msystems.00931-22
EA FEB 2023
UT WOS:000924096900001
DA 2025-07-30
ER
PT J
AU Joglar, V
Pontiller, B
Martínez-García, S
Fuentes-Lema, A
Pérez-Lorenzo, M
Lundin, D
Pinhassi, J
Fernández, E
Teira, E
AF Joglar, Vanessa
Pontiller, Benjamin
Martinez-Garcia, Sandra
Fuentes-Lema, Antonio
Perez-Lorenzo, Maria
Lundin, Daniel
Pinhassi, Jarone
Fernandez, Emilio
Teira, Eva
TI Microbial Plankton Community Structure and Function Responses to Vitamin
B12 and B1 Amendments in an Upwelling System
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB B vitamins are essential cofactors for practically all living organisms on Earth and are produced by a selection of microorganisms. An imbalance between high demand and limited production, in concert with abiotic processes, may explain the low availability of these vitamins in marine systems. Natural microbial communities from surface shelf water in the productive area off northwestern Spain were enclosed in mesocosms in winter, spring, and summer 2016. In order to explore the impact of B-vitamin availability on microbial community composition (16S and 18S rRNA gene sequence analysis) and bacterial function (metatranscriptomics analysis) in different seasons, enrichment experiments were conducted with seawater from the mesocosms. Our findings revealed that significant increases in phytoplankton or prokaryote biomass associated with vitamin B-12 and/or B-1 amendments were not accompanied by significant changes in community composition, suggesting that most of the microbial taxa benefited from the external B-vitamin supply. Metatranscriptome analysis suggested that many bacteria were potential consumers of vitamins B-12 and B-1, although the relative abundance of reads related to synthesis was ca. 3.6-fold higher than that related to uptake. Alteromonadales and Oceanospirillales accounted for important portions of vitamin B-1 and B-12 synthesis gene transcription, despite accounting for only minor portions of the bacterial community. Flavobacteriales appeared to be involved mostly in vitamin B-12 and B-1 uptake, and Pelagibacterales expressed genes involved in vitamin B-1 uptake. Interestingly, the relative expression of vitamin B-12 and B-1 synthesis genes among bacteria strongly increased upon inorganic nutrient amendment. Collectively, these findings suggest that upwelling events intermittently occurring during spring and summer in productive ecosystems may ensure an adequate production of these cofactors to sustain high levels of phytoplankton growth and biomass.
IMPORTANCE B vitamins are essential growth factors for practically all living organisms on Earth that are produced by a selection of microorganisms. An imbalance between high demand and limited production may explain the low concentration of these compounds in marine systems. In order to explore the impact of B-vitamin availability on bacteria and algae in the coastal waters off northwestern Spain, six experiments were conducted with natural surface water enclosed in winter, spring, and summer. Our findings revealed that increases in phytoplankton or bacterial growth associated with B-12 and/or B-1 amendments were not accompanied by significant changes in community composition, suggesting that most microorganisms benefited from the B-vitamin supply. Our analyses confirmed the role of many bacteria as consumers of vitamins B-12 and B-1, although the relative abundance of genes related to synthesis was ca. 3.6-fold higher than that related to uptake. Interestingly, prokaryote expression of B-12 and B-1 synthesis genes strongly increased when inorganic nutrients were added. Collectively, these findings suggest that upwelling of cold and nutrient-rich waters occurring during spring and summer in this coastal area may ensure an adequate production of B vitamins to sustain high levels of algae growth and biomass.
C1 [Joglar, Vanessa; Martinez-Garcia, Sandra; Fuentes-Lema, Antonio; Perez-Lorenzo, Maria; Fernandez, Emilio; Teira, Eva] Univ Vigo, Ctr Invest Marina Univ Vigo, Dept Ecol & Biol Anim, Vigo, Spain.
[Pontiller, Benjamin; Lundin, Daniel; Pinhassi, Jarone] Linnaeus Univ, Ctr Ecol & Evolut Microbial Model Syst, Kalmar, Sweden.
[Pontiller, Benjamin] GEOMAR Helmholtz Ctr Ocean Res, Kiel, Germany.
RP Joglar, V (corresponding author), Univ Vigo, Ctr Invest Marina Univ Vigo, Dept Ecol & Biol Anim, Vigo, Spain.
EM vjoglar@uvigo.es
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
[Anonymous], 1999, METHODS SEAWATER ANA, DOI [10.1002/9783527613984, DOI 10.1002/9783527613984]
[Anonymous], 2006, Eos, Transactions American Geophysical Union, DOI DOI 10.1029/2006EO520001
Barber-Lluch E, 2021, REG STUD MAR SCI, V42, DOI 10.1016/j.rsma.2020.101608
Barber-Lluch E, 2019, MAR ECOL PROG SER, V626, P29, DOI 10.3354/meps13077
Benjamini Y, 2001, ANN STAT, V29, P1165
Bertrand EM, 2007, LIMNOL OCEANOGR, V52, P1079, DOI 10.4319/lo.2007.52.3.1079
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bertrand EM, 2013, LIMNOL OCEANOGR, V58, P1431, DOI 10.4319/lo.2013.58.4.1431
Bertrand EM, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00375
Bertrand EM, 2012, P NATL ACAD SCI USA, V109, pE1762, DOI 10.1073/pnas.1201731109
Bertrand EM, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00160
BJORNSEN PK, 1986, APPL ENVIRON MICROB, V51, P1199
Bonnet S, 2010, LIMNOL OCEANOGR, V55, P1959, DOI 10.4319/lo.2010.55.5.1959
Buchfink B, 2015, NAT METHODS, V12, P59, DOI 10.1038/nmeth.3176
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
CARLUCCI A F, 1970, Journal of Phycology, V6, P393, DOI 10.1111/j.0022-3646.1970.00393.x
Cermeño P, 2006, ESTUAR COAST SHELF S, V67, P251, DOI 10.1016/j.ecss.2005.11.027
Cohen NR, 2017, LIMNOL OCEANOGR, V62, P2076, DOI 10.1002/lno.10552
Cooper MB, 2019, ISME J, V13, P334, DOI 10.1038/s41396-018-0274-y
Croft MT, 2006, EUKARYOT CELL, V5, P1175, DOI 10.1128/EC.00097-06
Croft MT, 2005, NATURE, V438, P90, DOI 10.1038/nature04056
Cruz-López R, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00560
Del Fabbro C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0085024
DIMASI DR, 1973, J BACTERIOL, V115, P506, DOI 10.1128/JB.115.2.506-513.1973
Donald KM, 1997, J PLANKTON RES, V19, P1793, DOI 10.1093/plankt/19.12.1793
Doxey AC, 2015, ISME J, V9, P461, DOI 10.1038/ismej.2014.142
Dupont CL, 2015, ISME J, V9, P1076, DOI 10.1038/ismej.2014.198
Durham BP, 2015, P NATL ACAD SCI USA, V112, P453, DOI 10.1073/pnas.1413137112
Eitinger T, 2011, FEMS MICROBIOL REV, V35, P3, DOI 10.1111/j.1574-6976.2010.00230.x
Ejsmond MJ, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-46422-2
Ewels P, 2016, BIOINFORMATICS, V32, P3047, DOI 10.1093/bioinformatics/btw354
Fernandes AD, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-15
Fernandes AD, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0067019
Figueiras FG, 2002, HYDROBIOLOGIA, V484, P121, DOI 10.1023/A:1021309222459
Frias-Lopez J, 2009, ENVIRON MICROBIOL, V11, P512, DOI 10.1111/j.1462-2920.2008.01793.x
Fridolfsson E, 2019, MAR BIOL, V166, DOI 10.1007/s00227-019-3520-6
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Genee HJ, 2016, NAT CHEM BIOL, V12, P1015, DOI 10.1038/nchembio.2189
Gigliobianco T, 2013, SCI REP-UK, V3, DOI 10.1038/srep01071
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gloor GB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02224
Gloor GB, 2016, J COMPUT GRAPH STAT, V25, P971, DOI 10.1080/10618600.2015.1131161
Gobler CJ, 2007, AQUAT MICROB ECOL, V49, P181, DOI 10.3354/ame01132
Gómez-Consarnau L, 2018, ENVIRON MICROBIOL, V20, P2809, DOI 10.1111/1462-2920.14133
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Gutowska MA, 2017, MBIO, V8, DOI [10.1128/mBio.01459-17, 10.1128/mbio.01459-17]
Heal KR, 2014, RAPID COMMUN MASS SP, V28, P2398, DOI 10.1002/rcm.7040
Helliwell KE, 2017, NEW PHYTOL, V216, P62, DOI 10.1111/nph.14669
Helliwell KE, 2011, MOL BIOL EVOL, V28, P2921, DOI 10.1093/molbev/msr124
Helliwell KE, 2016, CURR BIOL, V26, P999, DOI 10.1016/j.cub.2016.02.041
Hernández-Ruiz M, 2018, ENVIRON MICROBIOL, V20, P2955, DOI 10.1111/1462-2920.14313
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Jaehme M, 2018, J GEN PHYSIOL, V150, P41, DOI 10.1085/jgp.201711850
Joglar V, 2021, ENVIRON MICROBIOL, V23, P1559, DOI 10.1111/1462-2920.15367
Joglar V, 2020, BIOGEOSCIENCES, V17, P2807, DOI 10.5194/bg-17-2807-2020
Joshi N.A., 2011, Sickle: A Sliding-Window, Adaptive, Quality-Based Trimming Tool for FastQ Files
Kazamia E, 2012, ENVIRON MICROBIOL, V14, P1466, DOI 10.1111/j.1462-2920.2012.02733.x
Koch F, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00363
Logares R, 2014, ENVIRON MICROBIOL, V16, P2659, DOI 10.1111/1462-2920.12250
Madigan M.T., 2005, BROCK BIOL MICROORGA
Manzetti S, 2014, BIOCHEMISTRY-US, V53, P821, DOI 10.1021/bi401618y
Marsh ENG, 1999, ESSAYS BIOCHEM, V34, P139
Martin M., 2011, EMBnet J, V17, P10
Martínez-García S, 2010, MAR ECOL PROG SER, V416, P17, DOI 10.3354/meps08776
Massana R, 2002, APPL ENVIRON MICROB, V68, P4554, DOI 10.1128/AEM.68.9.4554-4558.2002
Massana R, 2015, ENVIRON MICROBIOL, V17, P4035, DOI 10.1111/1462-2920.12955
Melnick J, 2004, J BACTERIOL, V186, P3660, DOI 10.1128/JB.186.11.3660-3662.2004
Monteverde DR, 2017, GEOBIOLOGY, V15, P3, DOI 10.1111/gbi.12202
Norland S, 1993, HDB METHODS AQUATIC, P303, DOI DOI 10.1201/9780203752746-36
O'Leary NA, 2016, NUCLEIC ACIDS RES, V44, pD733, DOI 10.1093/nar/gkv1189
Okbamichael M, 2005, LIMNOL OCEANOGR-METH, V3, P241, DOI 10.4319/lom.2005.3.241
Okbamichael M, 2004, ANAL CHIM ACTA, V517, P33, DOI 10.1016/j.aca.2004.05.020
Overbeek R, 2014, NUCLEIC ACIDS RES, V42, pD206, DOI 10.1093/nar/gkt1226
Paerl RW, 2015, LIMNOL OCEANOGR, V60, P215, DOI 10.1002/lno.10009
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Park BS, 2020, MAR ECOL-EVOL PERSP, V41, DOI 10.1111/maec.12591
Pontiller B, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.588778
Poretsky Rachel S, 2009, J Vis Exp, DOI 10.3791/1086
Provasoli L., 1974, Bot Monogr, V10, P741
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
REYNOLDS PR, 1980, J BIOL CHEM, V255, P4313
Rodionov DA, 2003, J BIOL CHEM, V278, P41148, DOI 10.1074/jbc.M305837200
Ruess L, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00269
Santos JA, 2018, ELIFE, V7, DOI 10.7554/eLife.35828
Sañudo-Wilhelmy SA, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL025046
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Sarjeant W. A. S., 2006, MICROPALEONTOLOGY, V35, P191, DOI [10.2307/1485469, DOI 10.2307/1485469]
Shelton AN, 2019, ISME J, V13, P789, DOI 10.1038/s41396-018-0304-9
Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
Stoecker DK, 2017, ANNU REV MAR SCI, V9, P311, DOI 10.1146/annurev-marine-010816-060617
STOECKER DK, 1990, J PLANKTON RES, V12, P891, DOI 10.1093/plankt/12.5.891
Suffridge C, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00011
Tang K, 2010, CURR MICROBIOL, V60, P124, DOI 10.1007/s00284-009-9515-7
Tang YZ, 2010, P NATL ACAD SCI USA, V107, P20756, DOI 10.1073/pnas.1009566107
Teira E, 2017, ENVIRON MICROBIOL, V19, P2379, DOI 10.1111/1462-2920.13748
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Teira E, 2009, AQUAT MICROB ECOL, V55, P81, DOI 10.3354/ame01283
Webb E, 1998, J BIOL CHEM, V273, P8946, DOI 10.1074/jbc.273.15.8946
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 103
TC 16
Z9 19
PD NOV
PY 2021
VL 87
IS 22
AR e01525-21
DI 10.1128/AEM.01525-21
UT WOS:000713169300021
DA 2025-07-30
ER
PT J
AU Fecskeová, LK
Piwosz, K
Santic, D
Sestanovic, S
Tomas, AV
Hanusová, M
Solic, M
Koblízek, M
AF Fecskeova, Livia K.
Piwosz, Kasia
Santic, Danijela
Sestanovic, Stefanija
Tomas, Ana Vrdoljak
Hanusova, Martina
Solic, Mladen
Koblizek, Michal
TI Lineage-Specific Growth Curves Document Large Differences in Response of
Individual Groups of Marine Bacteria to the Top-Down and Bottom-Up
Controls
SO MSYSTEMS
DT Article
AB Marine bacterioplankton represent a diverse assembly of species differing largely in their abundance, physiology, metabolic activity, and role in microbial food webs. To analyze their sensitivity to bottom-up and top-down controls, we performed a manipulation experiment where grazers were removed, with or without the addition of phosphate. Using amplicon-reads normalization by internal standard (ARNIS), we reconstructed growth curves for almost 300 individual phylotypes. Grazer removal caused a rapid growth of most bacterial groups, which grew at rates of 0.6 to 3.5 day(-1), with the highest rates (>4 day(-1)) recorded among Rhodobacteraceae, Oceanospirillales, Alteromonadaceae, and Arcobacteraceae. Based on their growth response, the phylotypes were divided into three basic groups. Most of the phylotypes responded positively to both grazer removal as well as phosphate addition. The second group (containing, e.g., Rhodobacterales and Rhizobiales) responded to the grazer removal but not to the phosphate addition. Finally, some clades, such as SAR11 and Flavobacteriaceae, responded only to phosphate amendment but not to grazer removal. Our results show large differences in bacterial responses to experimental manipulations at the phylotype level and document different life strategies of marine bacterioplankton. In addition, growth curves of 130 phylogroups of aerobic anoxygenic phototrophs were reconstructed based on changes of the functional pufM gene. The use of functional genes together with rRNA genes may significantly expand the scientific potential of the ARNIS technique.
IMPORTANCE Growth is one of the main manifestations of life. It is assumed generally that bacterial growth is constrained mostly by nutrient availability (bottom-up control) and grazing (top-down control). Since marine bacteria represent a very diverse assembly of species with different metabolic properties, their growth characteristics also largely differ accordingly. Currently, the growth of marine microorganisms is typically evaluated using microscopy in combination with fluorescence in situ hybridization (FISH). However, these laborious techniques are limited in their throughput and taxonomical resolution. Therefore, we combined a classical manipulation experiment with next-generation sequencing to resolve the growth dynamics of almost 300 bacterial phylogroups in the coastal Adriatic Sea. The analysis documented that most of the phylogroups responded positively to both grazer removal and phosphate addition. We observed significant differences in growth kinetics among closely related species, which could not be distinguished by the classical FISH technique.
C1 [Fecskeova, Livia K.; Piwosz, Kasia; Hanusova, Martina; Koblizek, Michal] Czech Acad Sci, Ctr Algatech, Inst Microbiol, Trebon, Czech Republic.
[Piwosz, Kasia] Natl Marine Fisheries Res Inst, Gdynia, Poland.
[Santic, Danijela; Sestanovic, Stefanija; Tomas, Ana Vrdoljak; Solic, Mladen] Inst Oceanog & Fisheries, Lab Marine Microbiol, Split, Croatia.
RP Koblízek, M (corresponding author), Czech Acad Sci, Ctr Algatech, Inst Microbiol, Trebon, Czech Republic.
EM koblizek@alga.cz
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
CHINLEO G, 1990, MAR ECOL PROG SER, V63, P1, DOI 10.3354/meps063001
Christaki U, 2011, LIMNOL OCEANOGR-METH, V9, P329, DOI 10.4319/lom.2011.9.329
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Ferrera I, 2017, ISME J, V11, P2391, DOI 10.1038/ismej.2017.79
Ferrera I, 2014, ENVIRON MICROBIOL, V16, P2953, DOI 10.1111/1462-2920.12278
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Gasol J.M., 2015, Springer Protoc. Handbooks, P1, DOI DOI 10.1007/8623_2015_139
Gasol JM, 2002, ANTON LEEUW INT J G, V81, P435, DOI 10.1023/A:1020578418898
GASOL JM, 1994, MAR ECOL PROG SER, V113, P291, DOI 10.3354/meps113291
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Han Y, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01022-z
Hojerová E, 2011, ENVIRON MICROBIOL, V13, P2717, DOI 10.1111/j.1462-2920.2011.02540.x
Kasalicky V, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02116-17
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Koblízek M, 2007, ENVIRON MICROBIOL, V9, P2401, DOI 10.1111/j.1462-2920.2007.01354.x
Koblízek M, 2015, FEMS MICROBIOL REV, V39, P854, DOI 10.1093/femsre/fuv032
Long ANM, 2021, ISME J, V15, P183, DOI 10.1038/s41396-020-00773-1
MAC ARTHUR ROBERT H., 1967
MACARTHUR RH, 1962, P NATL ACAD SCI USA, V48, P1893, DOI 10.1073/pnas.48.11.1893
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Martin M., 2011, EMBnet J, V17, P10
Masín M, 2006, AQUAT MICROB ECOL, V45, P247, DOI 10.3354/ame045247
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nercessian O, 2005, APPL ENVIRON MICROB, V71, P6885, DOI 10.1128/AEM.71.11.6885-6899.2005
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Ngugi DK, 2018, GENOME ANNOUNCEMENTS, V6, DOI 10.1128/genomeA.00565-18
Nikrad MP, 2014, ENVIRON MICROBIOL, V16, P1513, DOI 10.1111/1462-2920.12258
Orlic M, 2006, J GEOPHYS RES-OCEANS, V111, DOI 10.1029/2005JC003271
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
PIANKA ER, 1970, AM NAT, V104, P592, DOI 10.1086/282697
Piwosz K, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00354-20
Piwosz K, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00052-20
Piwosz K, 2018, ISME J, V12, P2640, DOI 10.1038/s41396-018-0213-y
Popendorf KJ, 2020, LIMNOL OCEANOGR, V65, P1876, DOI 10.1002/lno.11424
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
RASSOULZADEGAN F, 1986, LIMNOL OCEANOGR, V31, P1010, DOI 10.4319/lo.1986.31.5.1010
Sánchez O, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76590-5
Sánchez O, 2017, ENV MICROBIOL REP, V9, P300, DOI 10.1111/1758-2229.12535
Santic D, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90863-7
Sato-Takabe Y, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.710
Sebastián M, 2013, ISME J, V7, P1665, DOI 10.1038/ismej.2013.42
Silva L, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03244
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Solic M, 2010, MAR ENVIRON RES, V70, P239, DOI 10.1016/j.marenvres.2010.05.007
Solic M, 2009, AQUAT MICROB ECOL, V58, P15, DOI 10.3354/ame01342
Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
Teira E, 2019, ENVIRON MICROBIOL, V21, P1482, DOI 10.1111/1462-2920.14581
Teira E, 2009, ENV MICROBIOL REP, V1, P545, DOI 10.1111/j.1758-2229.2009.00079.x
Våge S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101415
Waidner LA, 2008, APPL ENVIRON MICROB, V74, P4012, DOI 10.1128/AEM.02324-07
Weinbauer MG, 2019, AQUAT MICROB ECOL, V83, P295, DOI 10.3354/ame01919
Wickham H., 2016, ggplot2: Elegant Graphics for Data Analysis
Wright ES, 2016, R J, V8, P352
WRIGHT RT, 1984, MICROB ECOL, V10, P137, DOI 10.1007/BF02011421
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Yokokawa T, 2005, APPL ENVIRON MICROB, V71, P6799, DOI 10.1128/AEM.71.11.6799-6807.2005
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
Yutin N, 2005, APPL ENVIRON MICROB, V71, P8958, DOI 10.1128/AEM.71.12.8958-8962.2005
Yutin N, 2007, ENVIRON MICROBIOL, V9, P1464, DOI 10.1111/j.1462-2920.2007.01265.x
Zheng Q, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz017
NR 70
TC 16
Z9 17
PD SEP-OCT
PY 2021
VL 6
IS 5
AR e00934-21
DI 10.1128/mSystems.00934-21
UT WOS:000711939400014
DA 2025-07-30
ER
PT J
AU Zhang, SW
Liu, HB
Xia, XM
AF Zhang, Shuwen
Liu, Hongbin
Xia, Xiaomin
TI Community Dynamics of Free-Living and Particle-Attached Bacteria over
Sequential Blooms of Heterotrophic Dinoflagellate Noctiluca
scintillans and Mixotrophic Ciliate Mesodinium rubrum
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Shifts in the bacterioplankton community composition during phytoplankton blooms have been studied extensively; however, investigations on protozoan blooms are rare. This study first evaluated the impact of perturbations caused by sequential protozoan blooms of the heterotrophic dinoflagellate Noctiluca scintillans and the mixotrophic ciliate Mesodinium rubrum on the structuring of these two bacterial communities.
During a series of blooms of Noctiluca scintillans and Mesodinium rubrum, we applied high-throughput sequencing of the 16S rRNA gene to investigate the population dynamics of free-living (FL) and particle-attached (PA) bacteria in an attempt to evaluate the influence of protozoan bloom-induced disturbances on the structuring of these two communities. Our findings revealed that the FL and PA bacterial community compositions (BCCs) displayed distinct profiles during sequential blooms, and the PA flora responded more dynamically to these pulse perturbations. The dominant bacterial groups (e.g., Flavobacteriaceae, Rhodobacteraceae, Vibrionaceae, and SAR11 subclade I) in these two communities displayed different levels of connectivity with the bloom-causative species and environmental factors. In addition, more FL bacterial groups were associated with M. rubrum, while more PA bacterial groups were related to N. scintillans. Potential endocytic bacteria of N. scintillans, particularly Vibrionaceae and Rickettsiaceae, opportunistically thrived at the peak of the bloom, suggesting that they could be important players influencing the dynamics and biogeochemical cycling of the blooms. Overall, disparities in the substrate preferences and thermal niches of various bacterial taxa as well as the short duration of the blooms (1 to 3 days) contributed to the diverse responses of the FL and PA bacterial communities to these protozoan blooms. Our research provides insight into the responses of FL and PA bacterial communities to blooms caused by protozoa like N. scintillans and M. rubrum and highlights the ecological significance of certain keystone bacterial groups during this kind of cosmopolitan protozoan bloom. IMPORTANCE Shifts in the bacterioplankton community composition during phytoplankton blooms have been studied extensively; however, investigations on protozoan blooms are rare. This study first evaluated the impact of perturbations caused by sequential protozoan blooms of the heterotrophic dinoflagellate Noctiluca scintillans and the mixotrophic ciliate Mesodinium rubrum on the structuring of these two bacterial communities. Our findings shed light on the responses of these two bacterial communities to such cosmopolitan protozoan blooms and highlight the possible ecological significance of certain keystone bacterial groups during these blooms. This research prepares the way for more focused studies that will help in understanding the roles that bacteria play during protozoan blooms and their impact on environmental health.
C1 [Zhang, Shuwen] South China Normal Univ, Sch Life Sci, Guangzhou Key Lab Subtrop Biodivers & Biomonitori, Guangdong Prov Key Lab Hlth & Safe Aquaculture, Guangzhou, Peoples R China.
[Liu, Hongbin] Hong Kong Univ Sci & Technol, Div Life Sci, Clear Water Bay, Hong Kong, Peoples R China.
[Liu, Hongbin] Hong Kong Univ Sci & Technol, Dept Ocean Sci, Clear Water Bay, Hong Kong, Peoples R China.
[Xia, Xiaomin] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangdong Prov Key Lab Appl Marine Biol, Guangzhou, Peoples R China.
RP Zhang, SW (corresponding author), South China Normal Univ, Sch Life Sci, Guangzhou Key Lab Subtrop Biodivers & Biomonitori, Guangdong Prov Key Lab Hlth & Safe Aquaculture, Guangzhou, Peoples R China.; Xia, XM (corresponding author), Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangdong Prov Key Lab Appl Marine Biol, Guangzhou, Peoples R China.
EM shuwen@m.scnu.edu.cn; xiaxiaomin@scsio.ac.cn
CR ALLDREDGE AL, 1993, DEEP-SEA RES PT I, V40, P1131, DOI 10.1016/0967-0637(93)90129-Q
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Anderson OR, 2014, ACTA PROTOZOOL, V53, P29, DOI 10.4467/16890027AP.13.0019.1116
Bischoff V, 2019, ISME J, V13, P1404, DOI 10.1038/s41396-019-0362-7
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Chen HP, 2016, ENVIRON POLLUT, V219, P750, DOI 10.1016/j.envpol.2016.07.035
Cirri E, 2019, NEW PHYTOL, V223, P100, DOI 10.1111/nph.15765
Crawford DW, 1997, ESTUAR COAST SHELF S, V45, P799, DOI 10.1006/ecss.1997.0242
Dechsakulwatana Chutiwan, 2006, Coastal Marine Science, V30, P100
Doucette Gregory J., 1995, Natural Toxins, V3, P65, DOI 10.1002/nt.2620030202
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Erken M, 2015, MICROBIOL SPECTR, V3, DOI 10.1128/microbiolspec.VE-0003-2014
Fenchel T, 2006, MAR BIOL RES, V2, P33, DOI 10.1080/17451000600571044
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Fuhrman J. A., 2016, MANUAL ENV MICROBIOL, DOI [10.1128/9781555818821.ch4.2.2, DOI 10.1128/9781555818821.CH4.2.2]
Giani M, 2005, SCI TOTAL ENVIRON, V353, P232, DOI 10.1016/j.scitotenv.2005.09.027
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glibert Patricia M., 2005, Oceanography, V18, P136
Goecke F, 2010, MAR ECOL PROG SER, V409, P267, DOI 10.3354/meps08607
Gomez-Gil B, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.00055-14
Graneli E., 2006, ECOLOGY HARMFUL ALGA
Grimes DJ, 2009, MICROB ECOL, V58, P447, DOI 10.1007/s00248-009-9578-9
Hansen PJ, 2012, AQUAT MICROB ECOL, V66, P63, DOI 10.3354/ame01559
Harrison PJ, 2011, CHIN J OCEANOL LIMN, V29, P807, DOI 10.1007/s00343-011-0510-z
Herfort L, 2012, ESTUAR COAST, V35, P878, DOI 10.1007/s12237-012-9485-z
Hoppe HG, 2008, AQUAT MICROB ECOL, V51, P105, DOI 10.3354/ame01198
Howard EC, 2011, APPL ENVIRON MICROB, V77, P524, DOI 10.1128/AEM.01457-10
Hunt DE, 2008, APPL ENVIRON MICROB, V74, P44, DOI 10.1128/AEM.01412-07
JURGENS K, 1994, MAR ECOL PROG SER, V112, P169, DOI 10.3354/meps112169
Keawtawee T, 2011, FISHERIES SCI, V77, P657, DOI 10.1007/s12562-011-0373-4
KELLY MT, 1982, APPL ENVIRON MICROB, V44, P820, DOI 10.1128/AEM.44.4.820-824.1982
Kiorboe T, 1998, J PLANKTON RES, V20, P1615
Kirchner M, 1996, SARSIA, V81, P45, DOI 10.1080/00364827.1996.10413610
Kirchner M., 2000, P HARMFUL ALGAE 9 IN, P379
Kirchner Marianna, 1999, Advances in Limnology, V54, P297
Kodama M., 2006, Ecology of Harmful Algae, P243, DOI DOI 10.1007/978-3-540-32210-8_19
Krabberod AK, 2017, AQUAT MICROB ECOL, V79, P1, DOI 10.3354/ame01811
Liu KL, 2019, LIMNOL OCEANOGR, V64, P1103, DOI 10.1002/lno.11101
Liu M, 2019, SCI TOTAL ENVIRON, V660, P501, DOI 10.1016/j.scitotenv.2018.12.414
Long RA, 1996, AQUAT MICROB ECOL, V10, P213, DOI 10.3354/ame010213
Ma X, 2022, WATER RES, V219, DOI 10.1016/j.watres.2022.118565
Mayali X, 2004, J EUKARYOT MICROBIOL, V51, P139, DOI 10.1111/j.1550-7408.2004.tb00538.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Myung G, 2006, AQUAT MICROB ECOL, V44, P175, DOI 10.3354/ame044175
Nayak BB, 2000, INDIAN J MAR SCI, V29, P139
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
O'Brien J, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.894026
Oksanen J., 2018, Package "vegan
OMORI M, 1982, MAR BIOL, V72, P193, DOI 10.1007/BF00396920
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Peltomaa E, 2017, AQUAT MICROB ECOL, V78, P147, DOI 10.3354/ame01809
Qiu DJ, 2016, P NATL ACAD SCI USA, V113, P12208, DOI 10.1073/pnas.1612483113
Ramanan R, 2016, BIOTECHNOL ADV, V34, P14, DOI 10.1016/j.biotechadv.2015.12.003
Rath J, 1998, AQUAT MICROB ECOL, V14, P261, DOI 10.3354/ame014261
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Rösel S, 2012, AQUAT MICROB ECOL, V66, P169, DOI 10.3354/ame01568
ROMALDE JL, 1990, J APPL BACTERIOL, V68, P123, DOI 10.1111/j.1365-2672.1990.tb02556.x
Rooney-Varga JN, 2005, MICROB ECOL, V49, P163, DOI 10.1007/s00248-003-1057-0
SCHAUMANN K, 1988, MEERESFORSCHUNG, V32, P77
Seibold A, 2001, AQUAT MICROB ECOL, V25, P229, DOI 10.3354/ame025229
Sellner KG, 2003, J IND MICROBIOL BIOT, V30, P383, DOI 10.1007/s10295-003-0074-9
SERRATORE P, 1995, SCI TOTAL ENVIRON, V165, P185, DOI 10.1016/0048-9697(95)04551-B
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Smith M, 2007, MAR ECOL PROG SER, V338, P61, DOI 10.3354/meps338061
SMITH WO, 1979, J PHYCOL, V15, P27, DOI 10.1111/j.0022-3646.1979.00027.x
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Takemura AE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00038
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Tiselius P, 1998, LIMNOL OCEANOGR, V43, P154, DOI 10.4319/lo.1998.43.1.0154
UHLIG G, 1990, NETH J SEA RES, V25, P101, DOI 10.1016/0077-7579(90)90012-6
Umani SF, 2004, J PLANKTON RES, V26, P545, DOI 10.1093/plankt/fbh045
Walker CF, 2000, J SEA RES, V43, P253, DOI 10.1016/S1385-1101(00)00017-4
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
WILKERSON FP, 1990, J PLANKTON RES, V12, P973, DOI 10.1093/plankt/12.5.973
Wolfe GV, 2002, J PHYCOL, V38, P948, DOI 10.1046/j.1529-8817.2002.t01-1-01100.x
Xia XM, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.135107
Xu HM, 2020, FRESHWATER BIOL, V65, P1363, DOI 10.1111/fwb.13505
Yoo YD, 2015, ALGAE-SEOUL, V30, P281, DOI 10.4490/algae.2015.30.4.281
Zhang SW, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142349
Zhang XH, 2018, SCI CHINA EARTH SCI, V61, P1357, DOI 10.1007/s11430-017-9229-x
Zhou J, 2020, WATER RES, V183, DOI 10.1016/j.watres.2020.116020
Zhou J, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00349-19
NR 86
TC 4
Z9 4
PD NOV 22
PY 2022
VL 88
IS 22
DI 10.1128/aem.01323-22
EA NOV 2022
UT WOS:000888314900001
DA 2025-07-30
ER
PT J
AU Linney, MD
Eppley, JM
Romano, AE
Luo, E
DeLong, EF
Karl, DM
AF Linney, Morgan D.
Eppley, John M.
Romano, Anna E.
Luo, Elaine
DeLong, Edward F.
Karl, David M.
TI Microbial Sources of Exocellular DNA in the Ocean
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB With advances in metagenomic sequencing, the microbial composition of diverse environmental systems has been investigated, providing new perspectives on potential ecological dynamics and dimensions for experimental investigations. Here, we characterized exocellular free DNA via metagenomics, using a newly developed method that separates free DNA from cells, viruses, and vesicles, and facilitated the independent characterization of each fraction.
Exocellular DNA is operationally defined as the fraction of the total DNA pool that passes through a membrane filter (0.1 mu m). It is composed of DNA-containing vesicles, viruses, and free DNA and is ubiquitous in all aquatic systems, although the sources, sinks, and ecological consequences are largely unknown. Using a method that provides separation of these three fractions, we compared open ocean depth profiles of DNA associated with each fraction. Pelagibacter-like DNA dominated the vesicle fractions for all samples examined over a depth range of 75 to 500 m. Viral DNA consisted predominantly of myovirus-like and podovirus-like DNA and contained the highest proportion of unannotated sequences. Euphotic zone free DNA (75 to 125 m) contained primarily bacterial and viral sequences, with bacteria dominating samples from the mesopelagic zone (500 to 1,000 m). A high proportion of mesopelagic zone free DNA sequences appeared to originate from surface waters, including a large amount of DNA contributed by high-light Prochlorococcus ecotypes. Throughout the water column, but especially in the mesopelagic zone, the composition of free DNA sequences was not always reflective of cooccurring microbial communities that inhabit the same sampling depth. These results reveal the composition of free DNA in different regions of the water column (euphotic and mesopelagic zones), with implications for dissolved organic matter cycling and export (by way of sinking particles and/or migratory zooplankton) as a delivery mechanism. IMPORTANCE With advances in metagenomic sequencing, the microbial composition of diverse environmental systems has been investigated, providing new perspectives on potential ecological dynamics and dimensions for experimental investigations. Here, we characterized exocellular free DNA via metagenomics, using a newly developed method that separates free DNA from cells, viruses, and vesicles, and facilitated the independent characterization of each fraction. The fate of this free DNA has both ecological consequences as a nutrient (N and P) source and potential evolutionary consequences as a source of genetic transformation. Here, we document different microbial sources of free DNA at the surface (0 to 200 m) versus depths of 250 to 1,000 m, suggesting that distinct free DNA production mechanisms may be present throughout the oligotrophic water column. Examining microbial processes through the lens of exocellular DNA provides insights into the production of labile dissolved organic matter (i.e., free DNA) at the surface (likely by viral lysis) and processes that influence the fate of sinking, surface-derived organic matter.
C1 [Linney, Morgan D.; Eppley, John M.; Romano, Anna E.; Luo, Elaine; DeLong, Edward F.; Karl, David M.] Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Dept Oceanog, Honolulu, HI 96822 USA.
[Linney, Morgan D.] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
[Luo, Elaine] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.
RP Linney, MD (corresponding author), Univ Hawaii Manoa, Daniel K Inouye Ctr Microbial Oceanog Res & Educ, Dept Oceanog, Honolulu, HI 96822 USA.; Linney, MD (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM linney@mit.edu
CR Adkar-Purushothama CR, 2020, WIRES RNA, V11, DOI 10.1002/wrna.1570
Alonso MC, 2000, J EXP MAR BIOL ECOL, V244, P239, DOI 10.1016/S0022-0981(99)00143-4
Aylward FO, 2017, P NATL ACAD SCI USA, V114, P11446, DOI 10.1073/pnas.1714821114
Baran N, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0045-y
Biller SJ, 2017, ISME J, V11, P394, DOI 10.1038/ismej.2016.134
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Brum JR, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0060604
Brum JR, 2005, AQUAT MICROB ECOL, V41, P103, DOI 10.3354/ame041103
Brum JR, 2004, LIMNOL OCEANOGR-METH, V2, P248, DOI 10.4319/lom.2004.2.248
Bullister JL, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL026514
Collins JR, 2015, GLOBAL BIOGEOCHEM CY, V29, P1471, DOI 10.1002/2014GB005037
Cruz BN, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01864
DEFLAUN MF, 1987, MAR ECOL PROG SER, V38, P65, DOI 10.3354/meps038065
DEFLAUN MF, 1986, APPL ENVIRON MICROB, V52, P654, DOI 10.1128/AEM.52.4.654-659.1986
Aguilo-Ferretjans MD, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22152-w
Dell'Anno A, 2002, LIMNOL OCEANOGR, V47, P899, DOI 10.4319/lo.2002.47.3.0899
Dell'Anno A, 1999, MAR ECOL PROG SER, V186, P19, DOI 10.3354/meps186019
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deng W, 2015, LIMNOL OCEANOGR, V60, P805, DOI 10.1002/lno.10059
Djurhuus A, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-14105-1
Ellison CK, 2018, NAT MICROBIOL, V3, P773, DOI 10.1038/s41564-018-0174-y
Eren AM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066643
Fontanez KM, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00469
FRISCHER ME, 1990, APPL ENVIRON MICROB, V56, P3439, DOI 10.1128/AEM.56.11.3439-3444.1990
Grabowski E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09772-z
Hackl T., 2020, bioRxiv, V2020, DOI DOI 10.1101/2020.12.28.424599
Hannides CCS, 2013, LIMNOL OCEANOGR, V58, P1931, DOI 10.4319/lo.2013.58.6.1931
Hebel DV, 2001, DEEP-SEA RES PT II, V48, P1669, DOI 10.1016/S0967-0645(00)00155-7
HERMANSSON M, 1994, FEMS MICROBIOL ECOL, V15, P47, DOI 10.1016/0168-6496(94)90024-8
HOLMHANS.O, 1968, LIMNOL OCEANOGR, V13, P507
JEFFREY WH, 1990, MICROB ECOL, V19, P259, DOI 10.1007/BF02017170
Jorgensen NOG, 1996, AQUAT MICROB ECOL, V11, P263, DOI 10.3354/ame011263
Karl DM, 2021, PROG OCEANOGR, V195, DOI 10.1016/j.pocean.2021.102563
Karl DM, 2014, NAT REV MICROBIOL, V12, P699, DOI 10.1038/nrmicro3333
Karl DM, 2012, P NATL ACAD SCI USA, V109, P1842, DOI 10.1073/pnas.1120312109
KARL DM, 1989, LIMNOL OCEANOGR, V34, P543, DOI 10.4319/lo.1989.34.3.0543
KARL DM, 1988, NATURE, V332, P438, DOI 10.1038/332438a0
Karl DM, 1996, DEEP-SEA RES PT II, V43, P539, DOI 10.1016/0967-0645(96)00002-1
Kielbasa SM, 2011, GENOME RES, V21, P487, DOI 10.1101/gr.113985.110
Lennon JT, 2007, APPL ENVIRON MICROB, V73, P2799, DOI 10.1128/AEM.02674-06
LILJEMARK WF, 1970, J VIROL, V6, P114, DOI 10.1128/JVI.6.1.114-124.1970
Linney MD, 2021, LIMNOL OCEANOGR-METH, V19, P210, DOI 10.1002/lom3.10415
Lukas R, 2008, OCEANOGRAPHY, V21, P46, DOI 10.5670/oceanog.2008.66
Luo EL, 2020, ISME J, V14, P1304, DOI 10.1038/s41396-020-0604-8
Luo E, 2017, MBIO, V8, DOI 10.1128/mBio.01903-17
MARTIN JH, 1987, DEEP-SEA RES, V34, P267, DOI 10.1016/0198-0149(87)90086-0
Mende DR, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02273
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Minoche AE, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-11-r112
Moebus K, 1996, MAR ECOL PROG SER, V144, P1, DOI 10.3354/meps144001
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Oksanen Jari, 2024, CRAN
PAUL JH, 1990, APPL ENVIRON MICROB, V56, P2957, DOI 10.1128/AEM.56.10.2957-2962.1990
PAUL JH, 1991, APPL ENVIRON MICROB, V57, P2197, DOI 10.1128/AEM.57.8.2197-2204.1991
PAUL JH, 1987, APPL ENVIRON MICROB, V53, P170, DOI 10.1128/AEM.53.1.170-179.1987
Pietramellara G, 2007, BIOL FERT SOILS, V43, P731, DOI [10.1007/s00374-006-0156-8, 10.1007/s00374-008-0345-8]
Poff KE, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2018269118
POWELL IB, 1992, J GEN MICROBIOL, V138, P945, DOI 10.1099/00221287-138-5-945
Richardson TL, 2007, SCIENCE, V315, P838, DOI 10.1126/science.1133471
Riemann L, 2009, MICROB ECOL, V57, P286, DOI 10.1007/s00248-008-9429-0
Stewart CM, 2018, CANCER GENET-NY, V228, P169, DOI 10.1016/j.cancergen.2018.02.005
TALLEY LD, 1993, J PHYS OCEANOGR, V23, P517, DOI 10.1175/1520-0485(1993)023<0517:DAFONP>2.0.CO;2
Taton A, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15384-9
Torti A, 2015, MAR GENOM, V24, P185, DOI 10.1016/j.margen.2015.08.007
TURK V, 1992, APPL ENVIRON MICROB, V58, P3744, DOI 10.1128/AEM.58.11.3744-3750.1992
Weinbauer MG, 2003, LIMNOL OCEANOGR, V48, P1457, DOI 10.4319/lo.2003.48.4.1457
WINN CD, 1986, LIMNOL OCEANOGR, V31, P637, DOI 10.4319/lo.1986.31.3.0637
Zborowsky S, 2019, P NATL ACAD SCI USA, V116, P16899, DOI 10.1073/pnas.1906897116
Zhao XW, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02807-16
Zhong X., 2016, AM GEOPH UN OC SCI M
NR 70
TC 7
Z9 7
PD APR 12
PY 2022
VL 88
IS 7
AR e02093-21
DI 10.1128/aem.02093-21
UT WOS:000782461400034
DA 2025-07-30
ER
PT B
AU Okafor, N
AF Okafor, Nduka
BA Okafor, N
BF Okafor, N
TI Ecology of Microorganisms in Saline Waters (Seas and Oceans)
SO ENVIRONMENTAL MICROBIOLOGY OF AQUATIC AND WASTE SYSTEMS
DT Article; Book Chapter
AB The waters of the seas and oceans of the world contain large amounts of solutes; mainly, salt of about 3.5 g/L, occupy about 71% of the earth's surface and have an average depth of 3.8 km. The photic zone of seas and oceans, about 200 m deep, is the region permeated by sunlight where photosynthesis can take place. It has the greatest biodiversity, and all food for the marine population arises from the photic zone; such food includes marine snow which consists of globules of mucopolyssacharides containing dead and living microorganisms floating downward toward the deep ocean. Marine organisms are adapted to the unique conditions found in the marine open sea (pelagic zone) environment: high salinity (3.5 g/L), low temperature (about 4 degrees C), and high barometric pressure of up to 500 bar depending on the depth. Thermophilic organisms grow near the occasional hot thermal vents where hot magma spews out onto the ocean floor.
Using the technique of 16S rRNA, it has been found that over 70% of marine bacteria have not been cultured and hence have no counterparts among known bacteria. Microscopic cyanobacteria (picophytoplankton) make up 15% of all the bacteria. Among them, Synechoccus and Prochlorococcus, predominate and constitute the most abundant photosynthetic microbes on earth, contributing more than 50% of the total marine photosynthesis. Of the cultivated bacteria, Roseobacter spp. form about 15% of the total bacteria, while green non sulfur bacteria make up about 6%.
C1 Clemson Univ, Dept Biol Sci, Clemson, SC 29634 USA.
RP Okafor, N (corresponding author), Clemson Univ, Dept Biol Sci, Clemson, SC 29634 USA.
EM nokafor@g.clemson.edu; nokafor@g.clemson.edu
CR Allaby A., 1990, SEA WATER CONCISE OX
[Anonymous], 2010, TEMPERATURE OCEAN WA
[Anonymous], 2003, 3 LAYERED OCEAN
[Anonymous], 2010, MARINE SNOW
[Anonymous], ENCY EARTH
Arrigo KR, 2005, NATURE, V437, P349, DOI 10.1038/nature04159
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Díez B, 2007, APPL ENVIRON MICROB, V73, P3656, DOI 10.1128/AEM.02067-06
Fuhrman J., 2000, Microbial Ecology of the Oceans, P327
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Irenewagner-D Obler I. D., 2006, ANNU REV MICROBIOL, V60, P255
JAVAUX EJ, 2003, PALAEONTOLOGIA ELECT, V6
Munn C.B., 2004, MARINE MICROBIOLOGY
Pauly D., 2007, 5 ACPEU, P8
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
Prasannarai K., 2001, CURRENT SCI, V81, P308
Redfield A.C., 1934, James Johnstone Meml, P177
Schulz K., 2006, BACTERIA MICROBIAL L
Stewart R.R., 2005, MARINE FISHERIES FOO
Strous M, 2004, ANNU REV MICROBIOL, V58, P99, DOI 10.1146/annurev.micro.58.030603.123605
Ward BB, 2005, ANNU REV EARTH PL SC, V33, P301, DOI 10.1146/annurev.earth.33.092203.122514
Welsh DT, 2000, FEMS MICROBIOL REV, V24, P263, DOI 10.1111/j.1574-6976.2000.tb00542.x
Zehr JP, 1998, APPL ENVIRON MICROB, V64, P3444
NR 23
TC 0
Z9 0
PY 2011
BP 123
EP 148
DI 10.1007/978-94-007-1460-1_6
D2 10.1007/978-94-007-1460-1
UT WOS:000293760400006
DA 2025-07-30
ER
PT J
AU Ren, LJ
Song, XY
Wu, CF
Li, G
Zhang, XF
Xia, XM
Xiang, CH
Han, BP
Jeppesen, E
Wu, QLL
AF Ren, Lijuan
Song, Xingyu
Wu, Chuangfeng
Li, Gang
Zhang, Xiufeng
Xia, Xiaomin
Xiang, Chenhui
Han, Bo-Ping
Jeppesen, Erik
Wu, Qinglong L.
TI Biogeographical and Biodiversity Patterns of Marine Planktonic Bacteria
Spanning from the South China Sea across the Gulf of Bengal to the
Northern Arabian Sea
SO MICROBIOLOGY SPECTRUM
DT Article
AB Understanding the biogeographical and biodiversity patterns of bacterial communities is essential in unraveling their responses to future environmental changes. However, the relationships between marine planktonic bacterial biodiversity and seawater chlorophyll a are largely understudied. Here, we used high-throughput sequencing to study the biodiversity patterns of marine planktonic bacteria across a broad chlorophyll a gradient spanning from the South China Sea across the Gulf of Bengal to the northern Arabian Sea. We found that the biogeographical patterns of marine planktonic bacteria complied with the scenario of homogeneous selection, with chlorophyll a concentration being the key environmental selecting variable of bacteria taxa. The relative abundance of Prochlorococcus, the SAR11 clade, the SAR116 clade, and the SAR86 clade significantly decreased in habitats with high chlorophyll a concentrations (>0.5 mu g/L). Free-living bacteria (FLB) and particle-associated bacteria (PAB) displayed contrasting alpha diversity and chlorophyll a relationships with a positive linear correlation for FLB but a negative correlation for PAB. We further found that PAB had a narrower niche breadth of chlorophyll a than did FLB, with far fewer bacterial taxa being favored at higher chlorophyll a concentrations. Higher chlorophyll a concentrations were linked to the enhanced stochastic drift and reduced beta diversity of PAB but to the weakened homogeneous selection, enhanced dispersal limitation, and increased beta diversity of FLB. Taken together, our findings might broaden our knowledge about the biogeography of marine planktonic bacteria and advance the understanding of bacterial roles in predicting ecosystem functioning under future environmental changes that are derived from eutrophication.IMPORTANCE One of the long-standing interests of biogeography is to explore diversity patterns and uncover their underlying mechanisms. Despite intensive studies on the responses of eukaryotic communities to chlorophyll a concentrations, we know little about how changes in seawater chlorophyll a concentrations affect free-living bacteria (FLB) and particle-associated bacteria (PAB) diversity patterns in natural systems. Our biogeography study demonstrated that marine FLB and PAB displayed contrasting diversity and chlorophyll a relationships and exhibited completely different assembly mechanisms. Our findings broaden our knowledge about the biogeographical and biodiversity patterns of marine planktonic bacteria in nature systems and suggest that PAB and FLB should be considered independently in predicting marine ecosystem functioning under future frequent eutrophication.
One of the long-standing interests of biogeography is to explore diversity patterns and uncover their underlying mechanisms. Despite intensive studies on the responses of eukaryotic communities to chlorophyll a concentrations, we know little about how changes in seawater chlorophyll a concentrations affect free-living bacteria (FLB) and particle-associated bacteria (PAB) diversity patterns in natural systems.
C1 [Ren, Lijuan; Wu, Chuangfeng; Zhang, Xiufeng; Han, Bo-Ping] Jinan Univ, Dept Ecol, Guangzhou, Peoples R China.
[Ren, Lijuan; Wu, Chuangfeng; Zhang, Xiufeng; Han, Bo-Ping] Jinan Univ, Inst Hydrobiol, Guangzhou, Peoples R China.
[Ren, Lijuan; Song, Xingyu; Li, Gang; Xia, Xiaomin; Xiang, Chenhui] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangzhou, Peoples R China.
[Ren, Lijuan; Song, Xingyu; Li, Gang; Xia, Xiaomin; Xiang, Chenhui] Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Sci & Technol Operat Oceanog, Guangzhou, Peoples R China.
[Jeppesen, Erik] Univ Chinese Acad Sci, Sino Danish Ctr Educ & Res, Beijing, Peoples R China.
[Jeppesen, Erik] Aarhus Univ, Dept Biosci, Silkeborg, Denmark.
[Jeppesen, Erik] Middle East Tech Univ, Dept Biol Sci, Limnol Lab, Ankara, Turkiye.
[Jeppesen, Erik] Middle East Tech Univ, Ctr Ecosyst Res & Implementat, Ankara, Turkiye.
[Wu, Qinglong L.] Southern Marine Sci & Engn Guangdong Lab Guangzho, Ctr Evolut & Conservat Biol, Guangzhou, Peoples R China.
[Wu, Qinglong L.] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing, Peoples R China.
RP Ren, LJ (corresponding author), Jinan Univ, Dept Ecol, Guangzhou, Peoples R China.; Ren, LJ (corresponding author), Jinan Univ, Inst Hydrobiol, Guangzhou, Peoples R China.; Ren, LJ (corresponding author), Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangzhou, Peoples R China.; Ren, LJ (corresponding author), Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Sci & Technol Operat Oceanog, Guangzhou, Peoples R China.
EM lijuanren@jnu.edu.cn
CR Acharya SS, 2016, DEEP-SEA RES PT I, V115, P240, DOI 10.1016/j.dsr.2016.07.004
Baker ME, 2010, METHODS ECOL EVOL, V1, P25, DOI 10.1111/j.2041-210X.2009.00007.x
Bell T, 2010, BIOL LETTERS, V6, P639, DOI 10.1098/rsbl.2010.0027
Bienhold C, 2012, ISME J, V6, P724, DOI 10.1038/ismej.2011.140
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148
Chase JM, 2004, ECOL LETT, V7, P676, DOI 10.1111/j.1461-0248.2004.00622.x
Craven D, 2020, GLOBAL ECOL BIOGEOGR, V29, P1940, DOI 10.1111/geb.13165
D'Ambrosio L, 2014, ISME J, V8, P2167, DOI 10.1038/ismej.2014.67
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Dlugosch L, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28128-8
Dutkiewicz S, 2020, BIOGEOSCIENCES, V17, P609, DOI 10.5194/bg-17-609-2020
Erwin PM, 2012, APPL ENVIRON MICROB, V78, P7358, DOI 10.1128/AEM.02035-12
Evans S, 2017, ISME J, V11, P176, DOI 10.1038/ismej.2016.96
Fodelianakis S, 2022, ISME J, V16, P666, DOI 10.1038/s41396-021-01106-6
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Galand PE, 2015, MOL ECOL, V24, P5785, DOI 10.1111/mec.13347
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Gaston KJ, 2000, J APPL ECOL, V37, P39, DOI 10.1046/j.1365-2664.2000.00485.x
Gibbons SM, 2017, ENVIRON MICROBIOL, V19, P849, DOI 10.1111/1462-2920.13702
Giebel HA, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.764383
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Goes JI, 2018, ECOL STUD-ANAL SYNTH, V232, P327, DOI 10.1007/978-3-319-70069-4_17
Gomes HD, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5862
Grasshoff K., 2009, Methods of seawater analysis, DOI DOI 10.1017/S0025315400028216
Gravel D, 2011, ECOL LETT, V14, P1010, DOI 10.1111/j.1461-0248.2011.01667.x
Haegeman B, 2013, ISME J, V7, P1092, DOI 10.1038/ismej.2013.10
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
Harrison E, 2017, MOL ECOL, V26, P2757, DOI 10.1111/mec.14080
Hawco NJ, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2021GB007112
Herve Maxime, 2023, CRAN
Horner-Devine MC, 2003, ECOL LETT, V6, P613
Jackson CR, 2014, APPL ENVIRON MICROB, V80, P7186, DOI 10.1128/AEM.01844-14
Kong WY, 2021, J GEOPHYS RES-OCEANS, V126, DOI 10.1029/2021JC017236
Korhonen JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022041
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lichstein JW, 2007, PLANT ECOL, V188, P117, DOI 10.1007/s11258-006-9126-3
Logares R, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00827-8
Loreau M, 1998, P NATL ACAD SCI USA, V95, P5632, DOI 10.1073/pnas.95.10.5632
Loreau M, 2001, NATURE, V412, P72, DOI 10.1038/35083573
Louca S, 2022, ISME J, V16, P159, DOI 10.1038/s41396-021-01069-8
Lu Y, 2022, MICROB ECOL, V83, P823, DOI 10.1007/s00248-021-01816-6
Ma X, 2022, WATER RES, V219, DOI 10.1016/j.watres.2022.118565
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Milici M, 2016, SCI REP-UK, V6, DOI 10.1038/srep19054
Milke F, 2022, ISME J, V16, P2653, DOI 10.1038/s41396-022-01318-4
Milke F, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.895875
Molloy S, 2012, NAT REV MICROBIOL, V10, DOI 10.1038/nrmicro2736
Ning DL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18560-z
Parsons T.R., 1984, MANUAL CHEM BIOL MET, V1, P173
Pieck A, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01297
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Qiu ZY, 2021, DEEP-SEA RES PT I, V177, DOI 10.1016/j.dsr.2021.103625
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2018, R LANG ENV STAT COMP
Rajaniemi TK, 2003, OIKOS, V101, P449, DOI 10.1034/j.1600-0706.2003.12128.x
Resplandy L, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2011JC007006
Rex MA, 2005, ECOLOGY, V86, P2288, DOI 10.1890/04-1056
Richter DJ, 2022, ELIFE, V11, DOI 10.7554/eLife.78129
Ricklefs RE, 2011, PHILOS T R SOC B, V366, P2438, DOI 10.1098/rstb.2011.0066
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Sarma VVSS, 2019, MAR POLLUT BULL, V138, P428, DOI 10.1016/j.marpolbul.2018.11.054
Shoemaker KM, 2019, ENVIRON MICROBIOL, V21, P3737, DOI 10.1111/1462-2920.14723
Sjqvist C, 2021, ISME J, V15, P3034, DOI 10.1038/s41396-021-00985-z
Souffreau C, 2015, ENVIRON MICROBIOL, V17, P2336, DOI 10.1111/1462-2920.12692
Sperling M, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00065
Stegen JC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00370
Stegen JC, 2013, ISME J, V7, P2069, DOI 10.1038/ismej.2013.93
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Turnbull LA, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.0536
Vallina SM, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5299
Vázquez-Domínguez E, 2012, AQUAT MICROB ECOL, V67, P107, DOI 10.3354/ame01583
Venail PA, 2008, NATURE, V452, P210, DOI 10.1038/nature06554
Virta L, 2019, ECOLOGY, V100, DOI 10.1002/ecy.2765
Walters W, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00009-15
Wang TY, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2019JC015582
Witman JD, 2008, ECOLOGY, V89, pS66, DOI 10.1890/07-1201.1
Xia XM, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.135107
Xiang CH, 2019, SCI TOTAL ENVIRON, V694, DOI 10.1016/j.scitotenv.2019.07.202
NR 86
TC 5
Z9 5
PD JUN
PY 2023
VL 11
IS 3
DI 10.1128/spectrum.00398-23
EA APR 2023
UT WOS:000976550700001
DA 2025-07-30
ER
PT J
AU Bennke, CM
Reintjes, G
Schattenhofer, M
Ellrott, A
Wulf, J
Zeder, M
Fuchs, BM
AF Bennke, Christin M.
Reintjes, Greta
Schattenhofer, Martha
Ellrott, Andreas
Wulf, Joerg
Zeder, Michael
Fuchs, Bernhard M.
TI Modification of a High-Throughput Automatic Microbial Cell Enumeration
System for Shipboard Analyses
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB In the age of ever-increasing "-omics" studies, the accurate and statistically robust determination of microbial cell numbers within often-complex samples remains a key task in microbial ecology. Microscopic quantification is still the only method to enumerate specific subgroups of microbial clades within complex communities by, for example, fluorescence in situ hybridization (FISH). In this study, we improved an existing automatic image acquisition and cell enumeration system and adapted it for usage at high seas on board an oceanographic research ship. The system was evaluated by testing settings such as minimal pixel area and image exposure times ashore under stable laboratory conditions before being brought on board and tested under various wind and wave conditions. The system was robust enough to produce high-quality images even with ship heaves of up to 3m and pitch and roll angles of up to 6.3 degrees. On board the research ship, on average, 25% of the images acquired from plankton samples on filter membranes could be used for cell enumeration. Automated enumeration was highly correlated with manual counts (r(2)>0.9). Even the smallest of microbial cells in the open ocean, members of the alphaproteobacterial SAR11 clade, could be confidently detected and enumerated. The automated image acquisition and cell enumeration system developed here enables an accurate and reproducible determination of microbial cell counts in planktonic samples and allows insight into the abundance and distribution of specific microorganisms already on board within a few hours.
IMPORTANCE
In this research article, we report on a new system and software pipeline, which allows for an easy and quick image acquisition and the subsequent enumeration of cells in the acquired images. We put this pipeline through vigorous testing and compared it to manual microscopy counts of microbial cells on membrane filters. Furthermore, we tested this system at sea on board a marine research vessel and counted bacteria on board within a few hours after the retrieval of water samples. The imaging and counting system described here has been successfully applied to a number of laboratory-based studies and allowed the quantification of thousands of samples and FISH preparations (see, e.g., H. Teeling, B. M. Fuchs, D. Becher, C. Klockow, A. Gardebrecht, C. M. Bennke, M. Kassabgy, S. Huang, A. J. Mann, J. Waldmann, M. Weber, A. Klindworth, A. Otto, J. Lange, J. Bernhardt, C. Reinsch, M. Hecker, J. Peplies, F. D. Bockelmann, U. Callies, G. Gerdts, A. Wichels, K. H. Wiltshire, F. O. Glockner, T. Schweder, and R. Amann, Science 336:608-611, 2012, http://dx.doi.org/10.1126/science.1218344). We adjusted the standard image acquisition software to withstand ship movements. This system will allow for more targeted sampling of the microbial community, leading to a better understanding of the role of microorganisms in the global oceans.
C1 [Bennke, Christin M.; Reintjes, Greta; Schattenhofer, Martha; Ellrott, Andreas; Wulf, Joerg; Zeder, Michael; Fuchs, Bernhard M.] Max Planck Inst Marine Microbiol, Dept Mol Ecol, Bremen, Germany.
[Schattenhofer, Martha] Uppsala Univ, Dept Ecol Genet, Limnol, Uppsala, Sweden.
[Zeder, Michael] Technobiol GmbH, Buchrain, Switzerland.
RP Fuchs, BM (corresponding author), Max Planck Inst Marine Microbiol, Dept Mol Ecol, Bremen, Germany.
EM bfuchs@mpi-bremen.de
CR Abramoff M.D., 2004, Biophotonics international, V11, P36, DOI DOI 10.1201/9781420005615.AX4
AMANN RI, 1990, APPL ENVIRON MICROB, V56, P1919, DOI 10.1128/AEM.56.6.1919-1925.1990
Bizic-Ionescu M, 2015, ENVIRON MICROBIOL, V17, P3500, DOI 10.1111/1462-2920.12466
BLOEM J, 1995, APPL ENVIRON MICROB, V61, P926, DOI 10.1128/AEM.61.3.926-936.1995
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
Daims Holger, 2009, Cold Spring Harb Protoc, V2009, DOI 10.1101/pdb.prot5253
Forster B, 2004, MICROSC RES TECHNIQ, V65, P33, DOI 10.1002/jemt.20092
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Hill PG, 2012, MICROB ECOL, V63, P139, DOI 10.1007/s00248-011-9952-2
HOBBIE JE, 1977, APPL ENVIRON MICROB, V33, P1225, DOI 10.1128/AEM.33.5.1225-1228.1977
KEPNER RL, 1994, MICROBIOL REV, V58, P603, DOI 10.1128/MMBR.58.4.603-615.1994
Levin PA, 2015, CSH PERSPECT BIOL, V7, DOI 10.1101/cshperspect.a019216
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Morono Y, 2009, ISME J, V3, P503, DOI 10.1038/ismej.2009.1
Pernthaler J, 2003, APPL ENVIRON MICROB, V69, P2631, DOI 10.1128/AEM.69.5.2631-2637.2003
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Sekar R, 2004, APPL ENVIRON MICROB, V70, P6210, DOI 10.1128/AEM.70.10.6210-6219.2004
Selinummi J, 2005, BIOTECHNIQUES, V39, P859, DOI 10.2144/000112018
Seo EY, 2010, APPL ENVIRON MICROB, V76, P1981, DOI 10.1128/AEM.01724-09
Singleton S, 2001, J IMMUNOASS IMMUNOCH, V22, P253, DOI 10.1081/IAS-100104710
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thiel R, 2005, J MICROBIOL METH, V61, P369, DOI 10.1016/j.mimet.2004.12.014
Thiele S, 2011, TREATISE ON WATER SCIENCE, VOL 3: AQUATIC CHEMISTRY AND BIOLOGY, P171
Tischer K, 2012, SYST APPL MICROBIOL, V35, P526, DOI 10.1016/j.syapm.2012.01.004
VELJI MI, 1986, CAN J MICROBIOL, V32, P121, DOI 10.1139/m86-024
Zeder M, 2011, CYTOM PART A, V79A, P306, DOI 10.1002/cyto.a.21034
Zeder M, 2010, CYTOM PART A, V77A, P76, DOI 10.1002/cyto.a.20810
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
Zhou Z, 2007, APPL ENVIRON MICROB, V73, P2956, DOI 10.1128/AEM.02954-06
Zubkov M, 2007, J PLANKTON RES, V29, P79
NR 33
TC 33
Z9 35
PD JUN
PY 2016
VL 82
IS 11
BP 3289
EP 3296
DI 10.1128/AEM.03931-15
UT WOS:000376159400014
DA 2025-07-30
ER
PT J
AU O'Brien, J
Focardi, A
Deschaseaux, ESM
Petrou, K
Ostrowski, M
Beckley, LE
Seymour, JR
AF O'Brien, James
Focardi, Amaranta
Deschaseaux, Elisabeth S. M.
Petrou, Katherina
Ostrowski, Martin
Beckley, Lynnath E.
Seymour, Justin R.
TI Microbial dimethylsulfoniopropionate (DMSP) cycling in the
ultraoligotrophic eastern Indian Ocean
SO DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
DT Article
AB Dimethylsulfoniopropionate (DMSP) is an important source of dissolved organic matter for the marine food web and its cycling is a key step in ocean-atmosphere fluxes involved in the global sulfur cycle. To date, the abundance and biogeography of the genes encoding bacterial DMSP cycling in the eastern Indian Ocean (EIO) is virtually unknown. Moreover, DMSP measurements from the IO are sparse compared to other major oceans. In May-June 2019, we characterized dissolved DMSP (DMSPd) concentrations and the abundance of representative bacterial DMSP cycling genes along the 110 degrees E transect line as part of a voyage that contributed to Australia's involvement in the second International Indian Ocean Expedition. During the multidisciplinary voyage, surface water samples were collected from 19 stations spanning temperate to tropical waters of the EIO (39.5 degrees S to 11.5 degrees S, 110 degrees E). Somewhat surprisingly, a trend of greater DMSPd was measured in ultraoligotrophic (<0.02 mu mol L-1 of nitrate/nitrite), low latitude waters compared to relatively nutrient-rich high latitudes, which contradicts global DMSPd patterns of high concentrations at high latitudes. Additionally, the average DMSPd concentration in EIO samples (17.2 +/- 18.64 nM) was an order of magnitude greater than concentrations previously reported at similar latitudes in the Pacific and Atlantic Oceans, which suggests DMSPd is a readily available food source for microbes in a region that is often considered an ocean desert. The abundances of the bacterial DMSP production gene (dsyB), the DMSP lyase gene (dddP) and phylogenetically diverse DMSP demethylation genes (dmdA subclade A/1, D/all and E/2) were reported for the first time in the EIO region, demonstrating significant shifts in all genes with latitude. The SAR11 dmdA (D/all) gene was the dominant DMSP degradation gene across the transect (3.4 +/- 0.94% of bacteria) and was notably positively correlated to DMSPd, demonstrating a tight coupling between the variables across the 30 degrees transect. Our results also showed greater DMSPd and relative abundance of genes encoding both DMSP degradation pathways (dddP, dmdA A/1 and D/all) within a Leeuwin Current meander when compared to adjacent stations outside of the meander, providing evidence that mesoscale perturbations from the Leeuwin Current can greatly influence the EIO sulfur cycle. Overall, our data indicates that reduced sulfur in the form of DMSP is an abundant and readily available food source for some microbial metabolisms within the ultraoligotrophic surface waters of the EIO.
C1 [O'Brien, James; Focardi, Amaranta; Ostrowski, Martin; Seymour, Justin R.] Univ Technol Sydney, Ocean Microbiol Grp, Climate Change Cluster, POB 123, Broadway, NSW 2007, Australia.
[Deschaseaux, Elisabeth S. M.] Southern Cross Univ, Ctr Coastal Biogeochem, Sch Environm Sci & Engn, Lismore, NSW 2480, Australia.
[Petrou, Katherina] Univ Technol Sydney, Sch Life Sci, POB 123, Broadway, NSW 2007, Australia.
[Beckley, Lynnath E.] Murdoch Univ, Environm & Conservat Sci, 90 South St, Murdoch, WA 6150, Australia.
RP O'Brien, J; Seymour, JR (corresponding author), Univ Technol Sydney, Ocean Microbiol Grp, Climate Change Cluster, POB 123, Broadway, NSW 2007, Australia.
EM james.obrien@student.uts.edu.au; justin.seymour@uts.edu.au
CR ANDREAE MO, 1990, MAR CHEM, V30, P1, DOI 10.1016/0304-4203(90)90059-L
Appleyard S A., 2013, Tackling microbial related issues in cultured shellfish via integrated molecular and water chemistry approaches: CSIRO Marine and Atmospheric Research
Arístegui J, 2005, J MARINE SYST, V54, P65, DOI 10.1016/j.jmarsys.2004.07.004
Aristegui J, 1997, DEEP-SEA RES PT I, V44, P71, DOI 10.1016/S0967-0637(96)00093-3
Baltar F, 2007, AQUAT MICROB ECOL, V50, P63, DOI 10.3354/ame01156
Baltar F, 2010, ISME J, V4, P975, DOI 10.1038/ismej.2010.33
Bell TG, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2009GB003617
Bratbak G, 1995, MAR ECOL PROG SER, V128, P133, DOI 10.3354/meps128133
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Calbet A, 2009, DEEP-SEA RES PT II, V56, P954, DOI 10.1016/j.dsr2.2008.10.009
CHARLSON RJ, 1987, NATURE, V326, P655, DOI 10.1038/326655a0
Cui YS, 2015, APPL ENVIRON MICROB, V81, P4184, DOI 10.1128/AEM.03873-14
Curson ARJ, 2018, NAT MICROBIOL, V3, P430, DOI 10.1038/s41564-018-0119-5
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
DACEY JWH, 1987, GEOPHYS RES LETT, V14, P1246, DOI 10.1029/GL014i012p01246
del Valle DA, 2011, MAR CHEM, V124, P57, DOI 10.1016/j.marchem.2010.12.002
Delmont TO, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00646
Desbruyeres D, 2017, J CLIMATE, V30, P1985, DOI 10.1175/JCLI-D-16-0396.1
Deschaseaux E, 2018, J EXP MAR BIOL ECOL, V503, P41, DOI 10.1016/j.jembe.2017.11.006
Deschaseaux E, 2019, MAR CHEM, V208, P1, DOI 10.1016/j.marchem.2018.11.008
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Elisabeth D, 2018, MAR POLLUT BULL, V126, P93, DOI 10.1016/j.marpolbul.2017.10.070
Ewart CS, 2008, DEEP-SEA RES PT II, V55, P1334, DOI 10.1016/j.dsr2.2008.02.013
FALKOWSKI PG, 1991, NATURE, V352, P55, DOI 10.1038/352055a0
Galí M, 2015, GLOBAL BIOGEOCHEM CY, V29, P496, DOI 10.1002/2014GB004940
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
Hernández-Hernández N, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00667
Hood R., 2015, The Second International Indian Ocean Expedition (IIOE-2): A basin-wide research program-Science Plan (2015-2020)
Howard EC, 2008, ENVIRON MICROBIOL, V10, P2397, DOI 10.1111/j.1462-2920.2008.01665.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Isla JA, 2004, J PLANKTON RES, V26, P1301, DOI 10.1093/plankt/fbh121
Keller MD, 1999, MAR BIOL, V135, P237, DOI 10.1007/s002270050621
Kettle AJ, 1999, GLOBAL BIOGEOCHEM CY, V13, P399, DOI 10.1029/1999GB900004
Kiene RP, 2000, J SEA RES, V43, P209, DOI 10.1016/S1385-1101(00)00023-X
Kiene RP, 2006, LIMNOL OCEANOGR-METH, V4, P80, DOI 10.4319/lom.2006.4.80
Kiene RP, 2000, LIMNOL OCEANOGR, V45, P849, DOI 10.4319/lo.2000.45.4.0849
Lana A, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003850
Lana A, 2012, BIOGEOCHEMISTRY, V110, P173, DOI 10.1007/s10533-011-9677-9
Landry MR, 2020, MAR ECOL PROG SER, V649, P1, DOI 10.3354/meps13444
Ledyard KM, 1996, LIMNOL OCEANOGR, V41, P33, DOI 10.4319/lo.1996.41.1.0033
Lee SK, 2015, NAT GEOSCI, V8, P445, DOI 10.1038/NGEO2438
Lee T, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-10109-z
Levine NM, 2012, ENVIRON MICROBIOL, V14, P1210, DOI 10.1111/j.1462-2920.2012.02700.x
Li CY, 2021, ELIFE, V10, DOI 10.7554/eLife.64045
Liu J, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9030657
Liu JL, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03206
López E, 2008, DEEP-SEA RES PT I, V55, P1375, DOI 10.1016/j.dsr.2008.05.012
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
McGillicuddy DJ, 1998, NATURE, V394, P263, DOI 10.1038/28367
McParland EL, 2019, LIMNOL OCEANOGR, V64, P757, DOI 10.1002/lno.11076
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Nowinski B, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0132-4
Nowinski B, 2019, ENVIRON MICROBIOL, V21, P1687, DOI 10.1111/1462-2920.14560
O'Brien J, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.894026
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
PEARCE AF, 1991, J GEOPHYS RES-OCEANS, V96, P16739, DOI 10.1029/91JC01712
Raes EJ, 2022, DEEP-SEA RES PT II, V201, DOI 10.1016/j.dsr2.2022.105097
Reisch CR, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00172
Reisch CR, 2011, NATURE, V473, P208, DOI 10.1038/nature10078
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Simó R, 2001, TRENDS ECOL EVOL, V16, P287, DOI 10.1016/S0169-5347(01)02152-8
Stefels J, 2000, J SEA RES, V43, P183, DOI 10.1016/S1385-1101(00)00030-7
Stoica E, 2007, AQUAT SCI, V69, P413, DOI 10.1007/s00027-007-0885-2
Sun H, 2021, ENVIRON MICROBIOL, V23, P7073, DOI 10.1111/1462-2920.15813
Sun H, 2020, MICROB ECOL, V80, P350, DOI 10.1007/s00248-020-01507-8
Sun J., 2016, NAT MICROBIOL, V6065
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Teng ZJ, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01153-3
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Varaljay VA, 2015, ISME J, V9, P1677, DOI 10.1038/ismej.2015.23
Varaljay VA, 2012, APPL ENVIRON MICROB, V78, P2775, DOI 10.1128/AEM.07559-11
Varaljay VA, 2010, APPL ENVIRON MICROB, V76, P609, DOI 10.1128/AEM.01258-09
Waite AM, 2007, DEEP-SEA RES PT II, V54, P981, DOI 10.1016/j.dsr2.2007.03.001
Williams BT, 2019, NAT MICROBIOL, V4, P1815, DOI 10.1038/s41564-019-0527-1
Zeng YX, 2016, SCI REP-UK, V6, DOI 10.1038/srep33031
ZHANG X, 1995, DEEP-SEA RES PT II, V42, P695, DOI 10.1016/0967-0645(95)00032-L
Zheng YF, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18434-4
Zindler C, 2013, BIOGEOSCIENCES, V10, P3297, DOI 10.5194/bg-10-3297-2013
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
Zubkov MV, 2002, DEEP-SEA RES PT II, V49, P3017, DOI 10.1016/S0967-0645(02)00069-3
NR 87
TC 7
Z9 7
PD DEC
PY 2022
VL 206
AR 105195
DI 10.1016/j.dsr2.2022.105195
EA OCT 2022
UT WOS:000875404800001
DA 2025-07-30
ER
PT J
AU Wang, LR
Chen, S
Vergin, KL
Giovannoni, SJ
Chan, SW
DeMott, MS
Taghizadeh, K
Cordero, OX
Cutler, M
Timberlake, S
Alm, EJ
Polz, MF
Pinhassi, J
Deng, ZX
Dedon, PC
AF Wang, Lianrong
Chen, Shi
Vergin, Kevin L.
Giovannoni, Stephen J.
Chan, Simon W.
DeMott, Michael S.
Taghizadeh, Koli
Cordero, Otto X.
Cutler, Michael
Timberlake, Sonia
Alm, Eric J.
Polz, Martin F.
Pinhassi, Jarone
Deng, Zixin
Dedon, Peter C.
TI DNA phosphorothioation is widespread and quantized in bacterial genomes
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Phosphorothioate (PT) modification of DNA, with sulfur replacing a nonbridging phosphate oxygen, was recently discovered as a product of the dnd genes found in bacteria and archaea. Given our limited understanding of the biological function of PT modifications, including sequence context, genomic frequencies, and relationships to the diversity of dnd gene clusters, we under-took a quantitative study of PT modifications in prokaryotic genomes using a liquid chromatography-coupled tandem quadrupole mass spectrometry approach. The results revealed a diversity of unique PT sequence contexts and three discrete genomic frequencies in a wide range of bacteria. Metagenomic analyses of PT modifications revealed unique ecological distributions, and a phylogenetic comparison of dnd genes and PT sequence contexts strongly supports the horizontal transfer of dnd genes. These results are consistent with the involvement of PT modifications in a type of restriction-modification system with wide distribution in prokaryotes.
C1 [Wang, Lianrong; Chen, Shi; Deng, Zixin] Shanghai Jiao Tong Univ, Lab Microbial Metab, Shanghai 200030, Peoples R China.
[Wang, Lianrong; Chen, Shi; Deng, Zixin] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Shanghai 200030, Peoples R China.
[Wang, Lianrong; Chan, Simon W.; DeMott, Michael S.; Timberlake, Sonia; Alm, Eric J.; Dedon, Peter C.] MIT, Dept Biol Engn, Cambridge, MA 02139 USA.
[Taghizadeh, Koli; Dedon, Peter C.] MIT, Ctr Environm Hlth Sci, Cambridge, MA 02139 USA.
[Cordero, Otto X.; Cutler, Michael; Alm, Eric J.; Polz, Martin F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Wang, Lianrong; Chen, Shi; Deng, Zixin] Wuhan Univ, Coll Pharm, Wuhan 430071, Peoples R China.
[Vergin, Kevin L.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Pinhassi, Jarone] Linnaeus Univ, Sch Nat Sci, SE-39182 Kalmar, Sweden.
RP Chen, S (corresponding author), Shanghai Jiao Tong Univ, Lab Microbial Metab, Shanghai 200030, Peoples R China.
EM shichen@whu.edu.cn; pcdedon@mit.edu
CR Anderson RT, 2003, APPL ENVIRON MICROB, V69, P5884, DOI 10.1128/AEM.69.10.5884-5891.2003
Chaisson MJ, 2009, GENOME RES, V19, P336, DOI 10.1101/gr.079053.108
DUPONT HL, 1971, NEW ENGL J MED, V285, P1, DOI 10.1056/NEJM197107012850101
Dyson P, 1998, NUCLEIC ACIDS RES, V26, P1248, DOI 10.1093/nar/26.5.1248
ECKSTEIN F, 1989, TRENDS BIOCHEM SCI, V14, P97, DOI 10.1016/0968-0004(89)90130-8
Edgar RC, 2004, NUCLEIC ACIDS RES, V32, P1792, DOI 10.1093/nar/gkh340
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
He X, 2007, MOL MICROBIOL, V65, P1034, DOI 10.1111/j.1365-2958.2007.05846.x
Hopwood D. A., 2007, STREPTOMYCES NATURE
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Kobayashi I, 2001, NUCLEIC ACIDS RES, V29, P3742, DOI 10.1093/nar/29.18.3742
Lee HK, 2001, INT J SYST EVOL MICR, V51, P661, DOI 10.1099/00207713-51-2-661
Leonardo MR, 1999, INT J SYST BACTERIOL, V49, P1341, DOI 10.1099/00207713-49-4-1341
Letunic I, 2007, BIOINFORMATICS, V23, P127, DOI 10.1093/bioinformatics/btl529
LEVINE MM, 1979, INFECT IMMUN, V23, P729, DOI 10.1128/IAI.23.3.729-736.1979
Liang JD, 2007, NUCLEIC ACIDS RES, V35, P2944, DOI 10.1093/nar/gkm176
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Murase T, 2004, VET MICROBIOL, V99, P139, DOI 10.1016/j.vetmic.2003.11.014
OLSEN DB, 1990, J BIOL CHEM, V265, P14389
OLSEN DB, 1990, BIOCHEMISTRY-US, V29, P9546, DOI 10.1021/bi00493a008
Ou HY, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005132
Pinhassi J, 2009, INT J SYST EVOL MICR, V59, P373, DOI 10.1099/ijs.0.002113-0
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ratel D, 2006, BIOESSAYS, V28, P309, DOI 10.1002/bies.20342
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Wang LR, 2007, NAT CHEM BIOL, V3, P709, DOI 10.1038/nchembio.2007.39
WILSON GG, 1991, ANNU REV GENET, V25, P585, DOI 10.1146/annurev.ge.25.120191.003101
Wolfe-Simon F, 2010, SCIENCE IN PRESS
Xu TG, 2010, NUCLEIC ACIDS RES, V38, P7133, DOI 10.1093/nar/gkq610
Yao F, 2009, FEBS LETT, V583, P729, DOI 10.1016/j.febslet.2009.01.029
You DL, 2007, BIOCHEMISTRY-US, V46, P6126, DOI 10.1021/bi602615k
Zerbino DR, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008407
ZHOU XF, 1988, NUCLEIC ACIDS RES, V16, P4341, DOI 10.1093/nar/16.10.4341
Zhou XF, 2005, MOL MICROBIOL, V57, P1428, DOI 10.1111/j.1365-2958.2005.04764.x
NR 37
TC 133
Z9 156
PD FEB 15
PY 2011
VL 108
IS 7
BP 2963
EP 2968
DI 10.1073/pnas.1017261108
UT WOS:000287377000063
DA 2025-07-30
ER
PT J
AU Giovannoni, SJ
AF Giovannoni, Stephen J.
TI Vitamins in the sea
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Editorial Material
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR [Anonymous], 2006, Eos, Transactions American Geophysical Union, DOI DOI 10.1029/2006EO520001
Aparicio-González A, 2012, J MARINE SYST, V100, P26, DOI 10.1016/j.jmarsys.2012.03.008
Bertrand EM, 2007, LIMNOL OCEANOGR, V52, P1079, DOI 10.4319/lo.2007.52.3.1079
Buesseler KO, 2008, SCIENCE, V319, P162, DOI 10.1126/science.1154305
Callanan M, 2008, J BACTERIOL, V190, P727, DOI 10.1128/JB.01295-07
Croft MT, 2006, EUKARYOT CELL, V5, P1175, DOI 10.1128/EC.00097-06
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Gross T, 2009, SCIENCE, V325, P747, DOI 10.1126/science.1173536
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Provasoli L., 1974, ALGAL PHYSL BIOCH, P741
Sañudo-Wilhelmy SA, 2012, P NATL ACAD SCI USA, V109, P14041, DOI 10.1073/pnas.1208755109
Smetacek V, 2012, NATURE, V487, P313, DOI 10.1038/nature11229
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tripp HJ, 2009, ENVIRON MICROBIOL, V11, P230, DOI 10.1111/j.1462-2920.2008.01758.x
NR 19
TC 36
Z9 41
PD AUG 28
PY 2012
VL 109
IS 35
BP 13888
EP 13889
DI 10.1073/pnas.1211722109
UT WOS:000308565300014
DA 2025-07-30
ER
PT J
AU Kirchman, DL
AF Kirchman, David L.
TI A marine virus as foe and friend
SO NATURE MICROBIOLOGY
DT Editorial Material
AB A virus has been found inserted into the genome of the most abundant bacteria in the oceans. Even though the virus can kill its host, the genes carried by the prophage may help these bacteria flourish around the world.
C1 [Kirchman, David L.] Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
RP Kirchman, DL (corresponding author), Univ Delaware, Sch Marine Sci & Policy, Lewes, DE 19958 USA.
EM kirchman@udel.edu
CR Feiner R, 2015, NAT REV MICROBIOL, V13, P641, DOI 10.1038/nrmicro3527
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Howard-Varona C, 2017, ISME J, V11, P1511, DOI 10.1038/ismej.2017.16
Liu XX, 2019, ENVIRON MICROBIOL, V21, P4212, DOI 10.1111/1462-2920.14781
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Nanda AM, 2015, J BACTERIOL, V197, P410, DOI 10.1128/JB.02230-14
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Zhao YL, 2019, ENVIRON MICROBIOL, V21, P1989, DOI 10.1111/1462-2920.14487
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 9
TC 0
Z9 0
PD AUG
PY 2020
VL 5
IS 8
BP 982
EP 983
DI 10.1038/s41564-020-0764-3
UT WOS:000552017200004
DA 2025-07-30
ER
PT J
AU Gómez-Consarnau, L
González, JM
Coll-Lladó, M
Gourdon, P
Pascher, T
Neutze, R
Pedrós-Alió, C
Pinhassi, J
AF Gomez-Consarnau, Laura
Gonzalez, Jose M.
Coll-Llado, Montserrat
Gourdon, Pontus
Pascher, Torbjoern
Neutze, Richard
Pedros-Alio, Carlos
Pinhassi, Jarone
TI Light stimulates growth of proteorhodopsin-containing marine
Flavobacteria
SO NATURE
DT Article
AB Proteorhodopsins are bacterial light-dependent proton pumps. Their discovery within genomic material from uncultivated marine bacterioplankton caused considerable excitement because it indicated a potential phototrophic function within these organisms, which had previously been considered strictly chemotrophic(1). Subsequent studies established that sequences encoding proteorhodopsin are broadly distributed throughout the world's oceans(2-5). Nevertheless, the role of proteorhodopsins in native marine bacteria is still unknown(6). Here we show, from an analysis of the complete genomes of three marine Flavobacteria, that cultivated bacteria in the phylum Bacteroidetes, one of the principal components of marine bacterioplankton, contain proteorhodopsin. Moreover, growth experiments in both natural and artificial seawater ( low in labile organic matter, which is typical of the world's oceans) establish that exposure to light results in a marked increase in the cell yield of one such bacterium (Dokdonia sp. strain MED134) when compared with cells grown in darkness. Thus, our results show that the phototrophy conferred by proteorhodopsin can provide critical amounts of energy, not only for respiration and maintenance but also for active growth of marine bacterioplankton in their natural environment.
C1 Univ Kalmar, Dept Biol & Environm Sci, SE-39182 KAlmar, Sweden.
Univ La Laguna, Dept Microbiol & Cell Biol, ES-38206 Tenerife, Spain.
CSIC, CMIMA, Inst Ciencies Mar, ES-08003 Barcelona, Spain.
Chalmers, Dept Biol & Chem Engn, SE-41296 Gothenburg, Sweden.
Lund Univ, Kemictr, SE-22100 Lund, Sweden.
Univ Gothenburg, Dept Chem Biochem & Biophys, SE-40530 Gothenburg, Sweden.
RP Pinhassi, J (corresponding author), Univ Kalmar, Dept Biol & Environm Sci, SE-39182 KAlmar, Sweden.
EM jarone.pinhassi@hik.se
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bielawski JP, 2004, P NATL ACAD SCI USA, V101, P14824, DOI 10.1073/pnas.0403999101
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Dioumaev AK, 2002, BIOCHEMISTRY-US, V41, P5348, DOI 10.1021/bi025563x
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Neutze R, 2002, BBA-BIOMEMBRANES, V1565, P144, DOI 10.1016/S0005-2736(02)00566-7
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
SHIBA T, 1979, APPL ENVIRON MICROB, V38, P43, DOI 10.1128/AEM.38.1.43-45.1979
Teramoto M, 2003, FEBS LETT, V545, P120, DOI 10.1016/S0014-5793(03)00513-1
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang WW, 2003, J BIOL CHEM, V278, P33985, DOI 10.1074/jbc.M305716200
NR 26
TC 292
Z9 323
PD JAN 11
PY 2007
VL 445
IS 7124
BP 210
EP 213
DI 10.1038/nature05381
UT WOS:000243384300052
DA 2025-07-30
ER
PT J
AU Burr, DJ
Martin, A
Maas, EW
Ryan, KG
AF Burr, David J.
Martin, Andrew
Maas, Elizabeth W.
Ryan, Ken G.
TI In situ light responses of the proteorhodopsin-bearing Antarctic
sea- ice bacterium, Psychroflexus torques
SO ISME JOURNAL
DT Article
AB Proteorhodopsin (PR) is a wide-spread protein found in many marine prokaryotes. PR allows for the potential conversion of solar energy to ATP, possibly assisting in cellular growth and survival during periods of high environmental stress. PR utilises either blue or green light through a single amino acid substitution. We incubated the PR-bearing bacterium Psychroflexus torquis 50 cm deep within Antarctic sea ice for 13 days, exposing cultures to diurnal fluctuations in light and temperature. Enhanced growth occurred most prominently in cultures incubated under irradiance levels of similar to 50 mu mol photons m(-2) s(-1), suggesting PR provides a strong selective advantage. In addition, cultures grown under blue light yielded over 5.5 times more live cells per photon compared to greenlight incubations. Because P. torquis expresses an apparently 'green-shifted' PR gene variant, this finding infers that the spectral tuning of PR is more complex than previously thought. This study supports the theory that PR provides additional energy to bacteria under sub-optimal conditions, and raises several points of interest to be addressed by future research.
C1 [Burr, David J.; Martin, Andrew; Ryan, Ken G.] Victoria Univ Wellington, Sch Biol Sci, POB 600, Wellington 6140, New Zealand.
[Burr, David J.; Maas, Elizabeth W.] Natl Inst Water & Atmospher Res NIWA, Wellington, New Zealand.
[Martin, Andrew] Univ Tasmania, Inst Marine & Antarctic Sci, Antarctic Gateway Partnership, Hobart, Tas, Australia.
[Maas, Elizabeth W.] Minist Primary Ind, Ahuriri, Napier, New Zealand.
RP Ryan, KG (corresponding author), Victoria Univ Wellington, Sch Biol Sci, POB 600, Wellington 6140, New Zealand.
EM ken.ryan@vuw.ac.nz
CR [Anonymous], SEA ICE
Arrigo KR, 1997, SCIENCE, V276, P394, DOI 10.1126/science.276.5311.394
Balashov SP, 2005, SCIENCE, V309, P2061, DOI 10.1126/science.1118046
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bowman JP, 1998, MICROBIOL-UK, V144, P1601, DOI 10.1099/00221287-144-6-1601
Feng S, 2013, ISME J, V7, P2206, DOI 10.1038/ismej.2013.97
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2016, ISME J, V10, P1102, DOI 10.1038/ismej.2015.196
Koh EY, 2010, APPL ENVIRON MICROB, V76, P5918, DOI 10.1128/AEM.00562-10
KOTTMEIER ST, 1988, POLAR BIOL, V8, P293, DOI 10.1007/BF00263178
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Mao JF, 2014, J AM CHEM SOC, V136, P17578, DOI 10.1021/ja5097946
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Riedel T, 2010, APPL ENVIRON MICROB, V76, P3187, DOI 10.1128/AEM.02971-09
Ryan KG, 2009, J PHYCOL, V45, P1290, DOI 10.1111/j.1529-8817.2009.00764.x
SMITH RA, 1971, PSYCHOMETRIKA, V36, P31, DOI 10.1007/BF02291420
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
NR 22
TC 3
Z9 3
PD SEP
PY 2017
VL 11
IS 9
BP 2155
EP 2158
DI 10.1038/ismej.2017.65
UT WOS:000407804100018
DA 2025-07-30
ER
PT J
AU Zhu, WJ
Lan, YL
Lou, XD
Han, N
Ran, TT
Xu, LL
Xu, DQ
Wang, WW
AF Zhu, Wenjun
Lan, Yanli
Lou, Xiangdi
Han, Ning
Ran, Tingting
Xu, Langlai
Xu, Dongqing
Wang, Wei-Wu
TI Isolation of proteorhodopsin-bearing bacterium JL-3 from fresh water and
characterization of the proteorhodopsin
SO FEMS MICROBIOLOGY LETTERS
DT Article
AB Proteorhodopsins (PRs), light-driven proton pumps, constitute the largest family of the microbial rhodopsins. PRs are widely distributed in the oceanic environment and freshwater, but no bacteria with PRs have been isolated from freshwater so far. To facilitate isolation of the bacteria with PR genes, we constructed a vector system that can be used to clone potential PR genes and render color changes when overexpressed in Escherichia coli. Using this method, we successfully isolated a strain with PR gene from freshwater and identified it as Exiguobacterium sp. JL-3. The full length PR gene was then cloned using the SEFA PCR method. Protein sequence alignment showed that JL-3_PR shares high sequence identity (84-89%) with the PRs from Exiguobacterium strains, but low sequence identity (<38%) with other PRs. Surprisingly, we could not detect any proton-pumping activity in the native JL-3 cells and protoplasts, but the recombinant JL-3_PR do pump protons when overexpressed in E.coli. Sequence analysis further revealed that the PRs from Exiguobacterium had an unusual lysine as the proton donor instead of the typical acidic residue. These data suggest that JL-3_PR is a sensory PR rather than a proton pump.
C1 [Zhu, Wenjun; Lan, Yanli; Lou, Xiangdi; Han, Ning; Ran, Tingting; Xu, Dongqing; Wang, Wei-Wu] Nanjing Agr Univ, Key Lab Microbiol Engn Agr Environm, Minist Agr, Dept Microbiol,Coll Life Sci, Nanjing 210095, Jiangsu, Peoples R China.
[Zhu, Wenjun; Xu, Langlai] Nanjing Agr Univ, Coll Life Sci, Dept Biochem & Mol Biol, Nanjing 210095, Jiangsu, Peoples R China.
RP Wang, WW (corresponding author), Nanjing Agr Univ, Key Lab Microbiol Engn Agr Environm, Minist Agr, Dept Microbiol,Coll Life Sci, Nanjing 210095, Jiangsu, Peoples R China.
EM www.ang@njau.edu.cn
CR Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Atamna-Ismaeel N, 2012, ENVIRON MICROBIOL, V14, P140, DOI 10.1111/j.1462-2920.2011.02554.x
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Chaturvedi P, 2006, INT J SYST EVOL MICR, V56, P2765, DOI 10.1099/ijs.0.64508-0
Choi AR, 2013, APPL MICROBIOL BIOT, V97, P819, DOI 10.1007/s00253-012-4452-y
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Frühling A, 2002, INT J SYST EVOL MICR, V52, P1171, DOI 10.1099/00207713-52-4-1171
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
HO SN, 1989, GENE, V77, P51, DOI 10.1016/0378-1119(89)90358-2
Kimura H, 2011, ISME J, V5, P1641, DOI 10.1038/ismej.2011.36
Koh EY, 2010, APPL ENVIRON MICROB, V76, P5918, DOI 10.1128/AEM.00562-10
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Man-Aharonovich D, 2004, PHOTOCH PHOTOBIO SCI, V3, P459, DOI 10.1039/b316071h
Miroux B, 1996, J MOL BIOL, V260, P289, DOI 10.1006/jmbi.1996.0399
Petrovskaya LE, 2010, FEBS LETT, V584, P4193, DOI 10.1016/j.febslet.2010.09.005
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rodrigues DF, 2006, EXTREMOPHILES, V10, P285, DOI 10.1007/s00792-005-0497-5
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Shen WJ, 2010, BIORESOURCE TECHNOL, V101, P7516, DOI 10.1016/j.biortech.2010.04.052
Slamovits CH, 2011, NAT COMMUN, V2, DOI 10.1038/ncomms1188
Spudich JL, 2006, TRENDS MICROBIOL, V14, P480, DOI 10.1016/j.tim.2006.09.005
Sudo Y, 2001, BIOPHYS J, V80, P916, DOI 10.1016/S0006-3495(01)76070-5
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Thompson JD, 1997, NUCLEIC ACIDS RES, V25, P4876, DOI 10.1093/nar/25.24.4876
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wang SM, 2007, APPL ENVIRON MICROB, V73, P5048, DOI 10.1128/AEM.02973-06
Wang WW, 2003, J BIOL CHEM, V278, P33985, DOI 10.1074/jbc.M305716200
WEAVER PF, 1975, ARCH MICROBIOL, V105, P207, DOI 10.1007/BF00447139
Yutin N, 2012, BIOL DIRECT, V7, DOI 10.1186/1745-6150-7-34
Zhao MR, 2009, APPL ENVIRON MICROB, V75, P529, DOI 10.1128/AEM.01114-08
NR 35
TC 7
Z9 7
PD JUL
PY 2013
VL 344
IS 1
BP 10
EP 17
DI 10.1111/1574-6968.12144
UT WOS:000320387800002
DA 2025-07-30
ER
PT J
AU Moncadas, LS
Hofer, C
Bulzu, PA
Pernthaler, J
Andrei, AS
AF Moncadas, Lucas Serra
Hofer, Cyrill
Bulzu, Paul-Adrian
Pernthaler, Jakob
Andrei, Adrian-Stefan
TI Freshwater genome-reduced bacteria exhibit pervasive episodes of
adaptive stasis
SO NATURE COMMUNICATIONS
DT Article
AB The emergence of bacterial species is rooted in their inherent potential for continuous evolution and adaptation to an ever-changing ecological landscape. The adaptive capacity of most species frequently resides within the repertoire of genes encoding the secreted proteome (SP), as it serves as a primary interface used to regulate survival/reproduction strategies. Here, by applying evolutionary genomics approaches to metagenomics data, we show that abundant freshwater bacteria exhibit biphasic adaptation states linked to the eco-evolutionary processes governing their genome sizes. While species with average to large genomes adhere to the dominant paradigm of evolution through niche adaptation by reducing the evolutionary pressure on their SPs (via the augmentation of functionally redundant genes that buffer mutational fitness loss) and increasing the phylogenetic distance of recombination events, most of the genome-reduced species exhibit a nonconforming state. In contrast, their SPs reflect a combination of low functional redundancy and high selection pressure, resulting in significantly higher levels of conservation and invariance. Our findings indicate that although niche adaptation is the principal mechanism driving speciation, freshwater genome-reduced bacteria often experience extended periods of adaptive stasis. Understanding the adaptive state of microbial species will lead to a better comprehension of their spatiotemporal dynamics, biogeography, and resilience to global change.
Here, by applying evolutionary genomics approaches to metagenomics data of lake microbiomes, the authors reveal that freshwater species with small genomes face extended periods with their niche adaptation capabilities frozen.
C1 [Moncadas, Lucas Serra; Hofer, Cyrill; Pernthaler, Jakob; Andrei, Adrian-Stefan] Univ Zurich, Dept Plant & Microbial Biol, Limnol Stn, Kilchberg, Switzerland.
[Bulzu, Paul-Adrian] Czech Acad Sci, Biol Ctr Czech Acad Sci, Dept Aquat Microbial Ecol, Biol Ctr, Ceske Budejovice, Czech Republic.
RP Andrei, AS (corresponding author), Univ Zurich, Dept Plant & Microbial Biol, Limnol Stn, Kilchberg, Switzerland.
EM stefan.andrei@limnol.uzh.ch
CR Allaire J. J., 2023, RStudio: Integrated Development Environment for R
Andrei AS, 2019, ISME J, V13, P1056, DOI 10.1038/s41396-018-0332-5
Anné J, 2018, FEMS MICROBIOL LETT, V365, DOI 10.1093/femsle/fny206
Barrick JE, 2013, NAT REV GENET, V14, P827, DOI 10.1038/nrg3564
Ben-David M, 2009, PROTEINS, V77, P50, DOI 10.1002/prot.22591
Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
Boetius A, 2015, NAT REV MICROBIOL, V13, P677, DOI 10.1038/nrmicro3522
Bushnell B., 2016, BBDuk
Bushnell B., 2015, BBMAP
Bushnell B., 2016, Reformat
Bushnell B., 2015, BBWrap
Bushnell B, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0185056
Chaumeil PA, 2020, BIOINFORMATICS, V36, P1925, DOI 10.1093/bioinformatics/btz848
Chiriac MC, 2023, ENVIRON MICROBIOL, V25, P606, DOI 10.1111/1462-2920.16313
Christner BC, 2014, NATURE, V512, P310, DOI 10.1038/nature13667
Cohan FM, 2019, CURR BIOL, V29, pR169, DOI 10.1016/j.cub.2019.01.033
Cohan FM, 2016, CURR BIOL, V26, pR112, DOI 10.1016/j.cub.2015.10.022
Cong Q, 2019, SCIENCE, V365, P185, DOI 10.1126/science.aaw6718
Dalbey RE, 2012, FEMS MICROBIOL REV, V36, P1023, DOI 10.1111/j.1574-6976.2012.00327.x
Darling AE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011147
Didelot X, 2015, PLOS COMPUT BIOL, V11, DOI 10.1371/journal.pcbi.1004041
Emiola A, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07240-8
Emms DM, 2019, GENOME BIOL, V20, DOI 10.1186/s13059-019-1832-y
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Galperin MY, 2015, NUCLEIC ACIDS RES, V43, pD261, DOI 10.1093/nar/gku1223
Geisinger E, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18301-2
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Goris J, 2007, INT J SYST EVOL MICR, V57, P81, DOI 10.1099/ijs.0.64483-0
Guindon S, 2010, SYST BIOL, V59, P307, DOI 10.1093/sysbio/syq010
Haft DH, 2003, NUCLEIC ACIDS RES, V31, P371, DOI 10.1093/nar/gkg128
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Johnson LS, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-431
Jones P, 2014, BIOINFORMATICS, V30, P1236, DOI 10.1093/bioinformatics/btu031
Käll L, 2005, BIOINFORMATICS, V21, pI251, DOI 10.1093/bioinformatics/bti1014
Kanehisa M, 2017, NUCLEIC ACIDS RES, V45, pD353, DOI 10.1093/nar/gkw1092
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kang DWD, 2019, PEERJ, V7, DOI 10.7717/peerj.7359
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Konstantinidis KT, 2017, ISME J, V11, P2399, DOI 10.1038/ismej.2017.113
Konstantinidis KT, 2005, J BACTERIOL, V187, P6258, DOI 10.1128/JB.187.18.6258-6264.2005
Nguyen LT, 2015, MOL BIOL EVOL, V32, P268, DOI 10.1093/molbev/msu300
Li DH, 2016, METHODS, V102, P3, DOI 10.1016/j.ymeth.2016.02.020
Louca S, 2018, NAT ECOL EVOL, V2, P1458, DOI 10.1038/s41559-018-0625-0
Louca S, 2018, NAT ECOL EVOL, V2, P936, DOI 10.1038/s41559-018-0519-1
Löytynoja A, 2014, METHODS MOL BIOL, V1079, P155, DOI 10.1007/978-1-62703-646-7_10
Meyer F, 2022, NAT METHODS, V19, P429, DOI 10.1038/s41592-022-01431-4
Meyer F, 2018, GIGASCIENCE, V7, DOI 10.1093/gigascience/giy069
Mirdita M, 2022, NAT METHODS, V19, P679, DOI 10.1038/s41592-022-01488-1
Mitchell AL, 2019, NUCLEIC ACIDS RES, V47, pD351, DOI 10.1093/nar/gky1100
MOXON ER, 1994, CURR BIOL, V4, P24, DOI 10.1016/S0960-9822(00)00005-1
Neri U, 2022, CELL, V185, P4023, DOI 10.1016/j.cell.2022.08.023
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Ngugi DK, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adc9392
Niccum BA, 2019, MBIO, V10, DOI 10.1128/mBio.01226-19
Nogueira T, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0049403
Nunoura T, 2015, P NATL ACAD SCI USA, V112, pE1230, DOI 10.1073/pnas.1421816112
Olm MR, 2021, NAT BIOTECHNOL, V39, P727, DOI 10.1038/s41587-020-00797-0
Olm MR, 2017, ISME J, V11, P2864, DOI 10.1038/ismej.2017.126
Page AJ, 2015, BIOINFORMATICS, V31, P3691, DOI 10.1093/bioinformatics/btv421
Parks DH, 2020, NAT BIOTECHNOL, V38, P1079, DOI 10.1038/s41587-020-0501-8
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pettersen EF, 2004, J COMPUT CHEM, V25, P1605, DOI 10.1002/jcc.20084
Plotkin JB, 2011, NAT REV GENET, V12, P32, DOI 10.1038/nrg2899
Pond SLK, 2005, MOL BIOL EVOL, V22, P1208, DOI 10.1093/molbev/msi105
Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
Reynolds SM, 2008, PLOS COMPUT BIOL, V4, DOI 10.1371/journal.pcbi.1000213
Rocha EPC, 2018, MOL BIOL EVOL, V35, P1338, DOI 10.1093/molbev/msy078
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Rothschild LJ, 2001, NATURE, V409, P1092, DOI 10.1038/35059215
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Serra Moncadas L., 2024, Zenodo, DOI [10.5281/ZENODO.10925326, DOI 10.5281/ZENODO.10925326]
Shen XK, 2022, NATURE, V606, DOI 10.1038/s41586-022-04823-w
Steinegger M, 2017, NAT BIOTECHNOL, V35, P1026, DOI 10.1038/nbt.3988
The R Foundation, 2023, The R Project for Statistical Computing
Van Rossum T, 2020, NAT REV MICROBIOL, V18, P491, DOI 10.1038/s41579-020-0368-1
Vieira-Silva S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000808
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
Womack AM, 2010, PHILOS T R SOC B, V365, P3645, DOI 10.1098/rstb.2010.0283
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
NR 83
TC 3
Z9 3
PD APR 23
PY 2024
VL 15
IS 1
AR 3421
DI 10.1038/s41467-024-47767-7
UT WOS:001207290500012
DA 2025-07-30
ER
PT J
AU Kopprio, GA
Cuong, LH
Luyen, ND
Duc, TM
Ha, TH
Huong, LM
Gärdes, A
AF Kopprio, German A.
Le Huu Cuong
Nguyen Dinh Luyen
Tran Mai Duc
Tran Hong Ha
Le Mai Huong
Gaerdes, Astrid
TI Carrageenophyte-attached and planktonic bacterial communities in two
distinct bays of Vietnam: Eutrophication indicators and insights on
ice-ice disease
SO ECOLOGICAL INDICATORS
DT Article
AB The composition of the bacterial community of carrageenophyte-attached and planktonic bacteria was studied in two bays of Vietnam with contrasting anthropogenic inputs to assess their role as ecological indicators. Clear differences (similar to 73% dissimilarity) between carrageenophyte-attached bacteria and bacterioplankton were detected in terms of genus composition: mainly Agaribacter, Ruegeria, Alteromonas, the Pir4 lineage and Vibrio for the carrageenophytes and Candidatus Actinomarina, HIMB 11, NS groups and SAR Glades for the bacterioplankton. The copiotrophic nature, potential for complex-polymer degradation, and ability to form and defend biofilms were common features inferred for the carrageenophyte-attached microbiome. Significant differences between the bays were detected in the concentration of most inorganic nutrients. More eutrophic conditions and presumptive wastewater pollution in Cam Ranh (CR) bay were primarily indicated by the dominance of Rubripirellula, Leptobacterium, Hypnocyclicus and Porphyrobacter and their correlations with phosphate. In terms of bacterioplankton, the influence of intensive aquaculture in CR bay was suggested by the dominance of the N55 and N54 marine groups, the SUP05 cluster, Flavobacteriaceae unclassified and SAR 11 Glade III as well as their strong correlations with ammonium and phosphate. The link between silicate and other inorganic nutrients suggests freshwater input in CR bay. Arenicellaceae unclassified and Formosa were also potential indicators of eutrophication. Operational taxonomic units (OTUs) of Marinagarivorans, Cobetia, Vibrio, Alteromonas and Pseudoalteromonas were typical of the carrageenophytes showing ice-ice disease symptoms. Vibrio and Alteromonas were also common among healthy macroalgae, and differences at the OTU level suggested potential succession of species from the healthy to the diseased state. The probable beneficial roles of some bacteria, such as Ruegeria, Cutibacterium and unidentified members of the family Rhizobiaceae, were discussed. This study provides pioneering insights into the bacterial community composition of carrageenophytes and highlights their ecological value as strong indicators of the sources of organic matter, anthropogenic impacts and health status of marine systems.
C1 [Kopprio, German A.; Gaerdes, Astrid] Leibniz Ctr Trop Marine Res, Fahrenheitstr 6, D-28359 Bremen, Germany.
[Le Huu Cuong; Nguyen Dinh Luyen; Le Mai Huong] Vietnam Acad Sci & Technol, Inst Nat Prod Chem, 18 Hoang Quoc Viet, Hanoi, Vietnam.
[Le Huu Cuong; Nguyen Dinh Luyen; Tran Hong Ha; Le Mai Huong] Grad Univ Sci & Technol, Vietnam Acad Sci & Technol, 18 Hoang Quoc Viet, Hanoi, Vietnam.
[Tran Mai Duc] Vietnam Acad Sci & Technol, Nhatrang Inst Technol Res & Applicat, 2 Hungvuong St, Nhatrang City, Khanhhoa, Vietnam.
[Kopprio, German A.] Leibniz Inst Freshwater Ecol & Inland Fisheries, Muggelseedamm 301, D-12587 Berlin, Germany.
[Gaerdes, Astrid] Univ Appl Sci, Karlstadt 8, D-27568 Bremerhaven, Germany.
[Gaerdes, Astrid] Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Handelshafen 12, D-27570 Bremerhaven, Germany.
RP Kopprio, GA (corresponding author), Leibniz Inst Freshwater Ecol & Inland Fisheries, Chem Analyt & Biogeochem, Muggelseedamm 301, D-12587 Berlin, Germany.
EM kopprio@igb-berlin.de
CR Addinsoft, 2018, XLSTAT STAT DAT AN S
Aires T, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068429
Alvarez A, 2017, CHEMOSPHERE, V166, P41, DOI 10.1016/j.chemosphere.2016.09.070
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Bachmann J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02836
Barthel K, 2009, J MARINE SYST, V77, P89, DOI 10.1016/j.jmarsys.2008.11.010
Becker C, 2017, AQUACULT ENV INTERAC, V9, P331, DOI 10.3354/aei00238
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bondoso J, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw255
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Burke C, 2011, ISME J, V5, P590, DOI 10.1038/ismej.2010.164
Carareto Alves L.M., 2014, PROKARYOTES ALPHAPRO, P419
Chen CF, 2016, ECOL INFORM, V35, P43, DOI 10.1016/j.ecoinf.2016.07.005
Chuah XQ, 2017, ASIAN PAC J TROP BIO, V7, P729, DOI 10.1016/j.apjtb.2017.07.003
Cirri E, 2019, NEW PHYTOL, V223, P100, DOI 10.1111/nph.15765
Collado L, 2008, ENVIRON MICROBIOL, V10, P1635, DOI 10.1111/j.1462-2920.2007.01555.x
Cui Q, 2020, SCI TOTAL ENVIRON, V705, DOI 10.1016/j.scitotenv.2019.135811
Dang HY, 2008, APPL ENVIRON MICROB, V74, P52, DOI 10.1128/AEM.01400-07
Diepenbroek M., 2014, GI EDITION LECT NOTE, V232, P1711
Dung P.H., 2001, P MARINE FISHERIES R, V2, P537
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
Egan S, 2014, ENVIRON MICROBIOL, V16, P925, DOI 10.1111/1462-2920.12288
Eren AM, 2015, ISME J, V9, P968, DOI 10.1038/ismej.2014.195
Faria M, 2018, GENOMICS, V110, P231, DOI 10.1016/j.ygeno.2017.10.007
Ficko-Blean E, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01832-6
Foysal MJ, 2019, PEERJ, V7, DOI 10.7717/peerj.6891
Friedrich MW., 2012, SEAWEED BIOL, P189
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Goecke F, 2010, MAR ECOL PROG SER, V409, P267, DOI 10.3354/meps08607
Gong JS, 2017, BIOTECHNOL APPL BIOC, V64, P519, DOI 10.1002/bab.1506
Grasshoff K., 1999, Methods of seawater analysis, P600
Griffiths RI, 2000, APPL ENVIRON MICROB, V66, P5488, DOI 10.1128/AEM.66.12.5488-5491.2000
Guo G, 2019, BIORESOURCE TECHNOL, V285, DOI 10.1016/j.biortech.2019.03.142
Hayashi L., 2017, Tropical Seaweed Farming Trends, Problems and Opportunities, P55, DOI [DOI 10.1007/978-3-319-63498-2_4, DOI 10.1007/978-3-319-63498-24]
Hayashi L, 2010, CELL ORIG LIFE EXTRE, V15, P251, DOI 10.1007/978-90-481-8569-6_15
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
Hollants J, 2013, FEMS MICROBIOL ECOL, V83, P1, DOI 10.1111/j.1574-6941.2012.01446.x
Hsieh T.C., 2019, INEXT INTERPOLATION
Huang F, 2018, APPL MICROBIOL BIOT, V102, P8585, DOI 10.1007/s00253-018-9229-5
Jain A, 2019, ECOL INDIC, V102, P581, DOI 10.1016/j.ecolind.2019.03.015
Karlikanovaite-Balikci A, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01517
Klindworth Anna, 2013, Nucleic Acids Res, V41, pe1, DOI 10.1093/nar/gks808
Kopprio GA, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00594
Kopprio GA, 2015, MAR POLLUT BULL, V91, P554, DOI 10.1016/j.marpolbul.2014.08.021
Kristyanto S, 2017, INT J SYST EVOL MICR, V67, P4526, DOI 10.1099/ijsem.0.002324
Lage OM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00267
Largo DB, 1995, J APPL PHYCOL, V7, P545, DOI 10.1007/BF00003941
Lauringson V, 2012, ECOL INDIC, V12, P123, DOI 10.1016/j.ecolind.2011.04.009
Leys NM, 2005, MICROB ECOL, V49, P443, DOI 10.1007/s00248-004-0011-0
Liang ZR, 2019, BMC MICROBIOL, V19, DOI 10.1186/s12866-019-1605-5
Lopez-Perez M., 2014, PROKARYOTES, P69, DOI [DOI 10.1007/978-3-642-38922-1_233, 10.1007/978-3-642-38922-1, DOI 10.1007/978-3-642-38922-1]
Loureido R.R., 2017, Tropical Seaweed Farming Trends, Problems and Opportunities: Focus on Kappaphycus and Eucheuma of Commerce, P165, DOI 10.1007/978-3-319-63498-211
Mahmud ZH, 2008, FEMS MICROBIOL ECOL, V64, P209, DOI 10.1111/j.1574-6941.2008.00460.x
Martinez JN, 2016, MAR ENVIRON RES, V119, P156, DOI 10.1016/j.marenvres.2016.05.023
Luyen ND, 2019, J ANTIBIOT, V72, P843, DOI 10.1038/s41429-019-0214-8
Quang NH, 2017, WATER-SUI, V9, DOI 10.3390/w9080570
An NT, 2007, ASIAN J WATER ENVIRO, V4, P37
Oksanen, 2022, VEGAN COMMUNITY ECOL
Penesyan A, 2013, INT J SYST EVOL MICR, V63, P1589, DOI 10.1099/ijs.0.042838-0
Quéré G, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01850
R Core Team, 2020, A language and environment for statistical computing
Rabalais NN, 2009, ICES J MAR SCI, V66, P1528, DOI 10.1093/icesjms/fsp047
Schwenk D, 2014, MICROBIOLOGYOPEN, V3, P356, DOI 10.1002/mbo3.175
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Sun YF, 2020, AQUACULT REP, V16, DOI 10.1016/j.aqrep.2019.100236
Takemura AE, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00038
Tan J., 2017, Tropical Seaweed Farming Trends, Problems and Opportunities: Focus on Kappaphycus and Eucheuma of Commerce, P29
Teramoto M, 2014, INT J SYST EVOL MICR, V64, P2416, DOI 10.1099/ijs.0.061150-0
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vairappan C, 2008, J APPL PHYCOL, V20, P477, DOI 10.1007/s10811-007-9299-8
Wang X, 2010, BIOL CONTROL, V52, P123, DOI 10.1016/j.biocontrol.2009.10.004
Yilmaz P, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01524
Yoon J, 2015, ANTON LEEUW INT J G, V107, P1607, DOI 10.1007/s10482-015-0456-9
Yu SX, 2018, PEERJ, V6, DOI 10.7717/peerj.4272
Zeng J, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105491
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zhang Y, 2018, ECOL EVOL, V8, P4932, DOI 10.1002/ece3.4064
Zheng Y, 2019, BIORESOURCE TECHNOL, V291, DOI 10.1016/j.biortech.2019.121920
NR 80
TC 16
Z9 19
PD FEB
PY 2021
VL 121
AR 107067
DI 10.1016/j.ecolind.2020.107067
UT WOS:000604896100006
DA 2025-07-30
ER
PT J
AU Gómez-Consarnau, L
Akram, N
Lindell, K
Pedersen, A
Neutze, R
Milton, DL
González, JM
Pinhassi, J
AF Gomez-Consarnau, Laura
Akram, Neelam
Lindell, Kristoffer
Pedersen, Anders
Neutze, Richard
Milton, Debra L.
Gonzalez, Jose M.
Pinhassi, Jarone
TI Proteorhodopsin Phototrophy Promotes Survival of Marine Bacteria during
Starvation
SO PLOS BIOLOGY
DT Article
AB Proteorhodopsins are globally abundant photoproteins found in bacteria in the photic zone of the ocean. Although their function as proton pumps with energy-yielding potential has been demonstrated, the ecological role of proteorhodopsins remains largely unexplored. Here, we report the presence and function of proteorhodopsin in a member of the widespread genus Vibrio, uncovered through whole-genome analysis. Phylogenetic analysis suggests that the Vibrio strain AND4 obtained proteorhodopsin through lateral gene transfer, which could have modified the ecology of this marine bacterium. We demonstrate an increased long-term survival of AND4 when starved in seawater exposed to light rather than held in darkness. Furthermore, mutational analysis provides the first direct evidence, to our knowledge, linking the proteorhodopsin gene and its biological function in marine bacteria. Thus, proteorhodopsin phototrophy confers a fitness advantage to marine bacteria, representing a novel mechanism for bacterioplankton to endure frequent periods of resource deprivation at the ocean's surface.
C1 [Gomez-Consarnau, Laura; Akram, Neelam; Pinhassi, Jarone] Linnaeus Univ, Sch Nat Sci, Kalmar, Sweden.
[Lindell, Kristoffer; Milton, Debra L.] Umea Univ, Dept Mol Biol, Umea, Sweden.
[Pedersen, Anders; Neutze, Richard] Goteborg Gothenburg Univ, Dept Chem Biochem & Biophys, Gothenburg, Sweden.
[Gonzalez, Jose M.] Univ La Laguna, Dept Microbiol & Cell Biol, Tenerife, Spain.
RP Gómez-Consarnau, L (corresponding author), Linnaeus Univ, Sch Nat Sci, Kalmar, Sweden.
EM jarone.pinhassi@lnu.se
CR Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bryant DA, 2006, TRENDS MICROBIOL, V14, P488, DOI 10.1016/j.tim.2006.09.001
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Goldberg SMD, 2006, P NATL ACAD SCI USA, V103, P11240, DOI 10.1073/pnas.0604351103
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Hunt DE, 2008, SCIENCE, V320, P1081, DOI 10.1126/science.1157890
Kim TW, 2006, J BIOTECHNOL, V126, P554, DOI 10.1016/j.jbiotec.2006.05.014
Konstantinidis KT, 2007, CURR OPIN MICROBIOL, V10, P504, DOI 10.1016/j.mib.2007.08.006
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Langille MGI, 2009, BIOINFORMATICS, V25, P664, DOI 10.1093/bioinformatics/btp030
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Mahillon J, 1998, MICROBIOL MOL BIOL R, V62, P725, DOI 10.1128/MMBR.62.3.725-774.1998
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Milton DL, 1996, J BACTERIOL, V178, P1310, DOI 10.1128/jb.178.5.1310-1319.1996
MORALES VM, 1991, GENE, V97, P39, DOI 10.1016/0378-1119(91)90007-X
Morita RY., 1997, Bacteria in Oligotrophic Environments: Starvation-Survival Lifestyles, P529
NOVITSKY JA, 1976, APPL ENVIRON MICROB, V32, P617, DOI 10.1128/AEM.32.4.617-622.1976
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Stamatakis A, 2008, SYST BIOL, V57, P758, DOI 10.1080/10635150802429642
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Thompson FL, 2004, MICROBIOL MOL BIOL R, V68, P403, DOI 10.1128/MMBR.68.3.403-431.2004
Thompson JR, 2006, BIOLOGY OF VIBRIOS, P190
Torizawa T, 2004, J BIOMOL NMR, V30, P311, DOI 10.1007/s10858-004-3534-2
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
Zubkov MV, 2009, J PLANKTON RES, V31, P933, DOI 10.1093/plankt/fbp043
NR 39
TC 168
Z9 181
PD APR
PY 2010
VL 8
IS 4
AR e1000358
DI 10.1371/journal.pbio.1000358
UT WOS:000278125500011
DA 2025-07-30
ER
PT J
AU DeLong, EF
Béjà, O
AF DeLong, Edward F.
Beja, Oded
TI The Light-Driven Proton Pump Proteorhodopsin Enhances Bacterial Survival
during Tough Times
SO PLOS BIOLOGY
DT Editorial Material
C1 [DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[DeLong, Edward F.] MIT, Dept Biol Engn, Cambridge, MA 02139 USA.
[Beja, Oded] Technion Israel Inst Technol, Fac Biol, Technion, Haifa, Israel.
RP DeLong, EF (corresponding author), MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM Delong@mit.edu; beja@tx.technion.ac.il
CR Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Karl DM, 2002, NATURE, V415, P590, DOI 10.1038/415590b
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Lanyi JK, 2008, BBA-BIOENERGETICS, V1777, P684, DOI 10.1016/j.bbabio.2008.05.005
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
McCarren J, 2007, ENVIRON MICROBIOL, V9, P846, DOI 10.1111/j.1462-2920.2006.01203.x
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
OESTERHELT D, 1971, NATURE-NEW BIOL, V233, P149, DOI 10.1038/newbio233149a0
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sharma AK, 2008, ENVIRON MICROBIOL, V10, P1039, DOI 10.1111/j.1462-2920.2007.01525.x
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Spudich JL, 2005, HANDBOOK OF PHOTOSENSORY RECEPTORS, P1, DOI 10.1002/352760510X.ch1
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
NR 25
TC 109
Z9 125
PD APR
PY 2010
VL 8
IS 4
AR e1000359
DI 10.1371/journal.pbio.1000359
UT WOS:000278125500012
DA 2025-07-30
ER
PT J
AU Cui, Y
Chun, SJ
Baek, SH
Lee, M
Kim, Y
Lee, HG
Ko, SR
Hwang, S
Ahn, CY
Oh, HM
AF Cui, Yingshun
Chun, Seong-Jun
Baek, Seung Ho
Lee, Minji
Kim, Yunji
Lee, Hyung-Gwan
Ko, So-Ra
Hwang, Seungwoo
Ahn, Chi-Yong
Oh, Hee-Mock
TI The water depth-dependent co-occurrence patterns of marine bacteria in
shallow and dynamic Southern Coast, Korea
SO SCIENTIFIC REPORTS
DT Article
AB To investigate the interactions between bacterial species in relation to the biotic and abiotic environmental fluctuations, free-living (FL), nanoparticle-associated (NP), and microparticle-associated (MP) bacterial community compositions (BCCs) were analyzed. A total of 267 samples were collected from July to December 2016 in the dynamic and shallow southern coastal water of Korea. The variations in BCC mostly depended on planktonic size fraction. Network analysis revealed water depth-dependent co-occurrence patterns of coastal bacterial communities. Higher interspecies connectivity was observed within FL bacteria than NP/MP bacteria, suggesting that FL bacteria with a streamlined genome may need other bacterial metabolites for survival, while the NP/MP copiotrophs may have the self-supporting capacity to produce the vital nutrients. The analysis of topological roles of individual OTUs in the network revealed that several groups of metabolically versatile bacteria (the marine Roseobacters, Flavobacteriales, Desulfobacterales, and SAR406 clade) acted as module hubs in different water depth. In conclusion, interspecies interactions dominated in FL bacteria, compared to NP and MP bacteria; modular structures of bacterial communities and keystone species strongly depended on the water depth-derived environmental factors. Furthermore, the multifunctional, versatile FL bacteria could play pivotal roles in dynamic shallow coastal ecosystems.
C1 [Cui, Yingshun; Chun, Seong-Jun; Lee, Hyung-Gwan; Ko, So-Ra; Ahn, Chi-Yong; Oh, Hee-Mock] KRIBB, Cell Factory Res Ctr, Daejeon, South Korea.
[Chun, Seong-Jun; Ahn, Chi-Yong; Oh, Hee-Mock] Korea Univ Sci & Technol UST, KRIBB Sch Biotechnol, Dept Environm Biotechnol, Daejeon, South Korea.
[Baek, Seung Ho; Lee, Minji; Kim, Yunji] KIOST, South Sea Inst, Geoje, South Korea.
[Hwang, Seungwoo] KRIBB, Korean Bioinformat Ctr KOBIC, Daejeon, South Korea.
RP Ahn, CY; Oh, HM (corresponding author), KRIBB, Cell Factory Res Ctr, Daejeon, South Korea.; Ahn, CY; Oh, HM (corresponding author), Korea Univ Sci & Technol UST, KRIBB Sch Biotechnol, Dept Environm Biotechnol, Daejeon, South Korea.
EM cyahn@kribb.re.kr; heemock@kribb.re.kr
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Allen AE, 2013, CURR OPIN MICROBIOL, V16, P605, DOI 10.1016/j.mib.2013.10.001
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Azam F, 2001, NATURE, V414, P495, DOI 10.1038/35107174
Barberán A, 2012, ISME J, V6, P343, DOI 10.1038/ismej.2011.119
Bertagnolli AD, 2017, ENVIRON MICROBIOL, V19, P4392, DOI 10.1111/1462-2920.13879
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Crespo BG, 2013, MICROBIOLOGYOPEN, V2, P541, DOI 10.1002/mbo3.92
Csardi G., 2006, Complex Syst, V1695, P1
Cui YS, 2015, APPL ENVIRON MICROB, V81, P4184, DOI 10.1128/AEM.03873-14
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
Dunne JA, 2002, P NATL ACAD SCI USA, V99, P12917, DOI 10.1073/pnas.192407699
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
ERDOS P, 1960, B INT STATIST INST, V38, P343
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Ghiglione JF, 2007, MICROB ECOL, V54, P217, DOI 10.1007/s00248-006-9189-7
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Grossart HP, 2010, ENV MICROBIOL REP, V2, P706, DOI 10.1111/j.1758-2229.2010.00179.x
Guimerà R, 2005, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2005/02/P02001
Hacquard S, 2015, CELL HOST MICROBE, V17, P603, DOI 10.1016/j.chom.2015.04.009
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hu AY, 2017, ENVIRON MICROBIOL, V19, P4993, DOI 10.1111/1462-2920.13942
Huse SM, 2010, ENVIRON MICROBIOL, V12, P1889, DOI 10.1111/j.1462-2920.2010.02193.x
Islam MS, 2005, MAR POLLUT BULL, V50, P48, DOI 10.1016/j.marpolbul.2004.08.008
Kim JH, 2019, MAR FRESHWATER RES, V70, P794, DOI 10.1071/MF18244
Kirchman DL, 2016, AQUAT MICROB ECOL, V78, P93, DOI 10.3354/ame01805
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lee Jang Yu, 2015, 한국해양환경•에너지학회지, V18, P74
Legendre P, 1999, ECOL MONOGR, V69, P1, DOI 10.1890/0012-9615(1999)069[0001:DBRATM]2.0.CO;2
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Ma B, 2016, ISME J, V10, P1891, DOI 10.1038/ismej.2015.261
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Mitulla M, 2016, ENVIRON MICROBIOL, V18, P4369, DOI 10.1111/1462-2920.13314
Mohit V, 2014, APPL ENVIRON MICROB, V80, P2071, DOI 10.1128/AEM.02916-13
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Oksanen, 2022, VEGAN COMMUNITY ECOL
Orsi WD, 2016, ISME J, V10, P2158, DOI 10.1038/ismej.2016.20
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Riedel T, 2012, STAND GENOMIC SCI, V7, P120, DOI 10.4056/sigs.3296896
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Smith MW, 2013, FRONT MICROBIOL, V4, DOI [10.3389/fmicb.2013.00120, 10.3389/fpls.2013.00486]
Stecher B, 2012, P NATL ACAD SCI USA, V109, P1269, DOI 10.1073/pnas.1113246109
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Telesford QK, 2011, BRAIN CONNECT, V1, P367, DOI 10.1089/brain.2011.0038
Tinta T, 2015, ENVIRON MICROBIOL, V17, P3581, DOI 10.1111/1462-2920.12519
Ward CS, 2017, ISME J, V11, P1412, DOI 10.1038/ismej.2017.4
Woodhouse JN, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00777
Yang CY, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01202
Yung CM, 2015, ENVIRON MICROBIOL, V17, P2421, DOI 10.1111/1462-2920.12714
NR 70
TC 40
Z9 45
PD JUN 24
PY 2019
VL 9
AR 9176
DI 10.1038/s41598-019-45512-5
UT WOS:000472597400079
DA 2025-07-30
ER
PT J
AU Alfreider, A
Vogt, C
Babel, W
AF Alfreider, A
Vogt, C
Babel, W
TI Microbial diversity in an in situ reactor system treating
monochlorobenzene contaminated groundwater as revealed by 16S ribosomal
DNA analysis
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Article
AB A molecular approach based on the construction of 16S ribosomal DNA clone libraries was used to investigate the microbial diversity of an underground in situ reactor system filled with the original aquifer sediments. After chemical steady state was reached in the monochlorobenzene concentration between the original inflowing groundwater and the reactor outflow, samples from different reactor locations and from inflowing and outflowing groundwater were taken for DNA extraction. Small-subunit rRNA genes were PCR-amplified with primers specific for Bacteria, subsequently cloned and screened for variation by restriction fragment length polymorphism (RFLP). A total of 87 bacterial 16S rDNA genes were sequenced and subjected to phylogeneric analysis. The original groundwater was found to be dominated by a bacterial consortium affiliated with various members of the class of Proteobacteria, by phylotypes not affiliated with currently recognized bacterial phyla, and also by sporulating and non-sporulating sulfate-reducing bacteria. The most occurring clone types obtained from the sediment samples of the reactor were related to the beta-Proteobacteria, dominated by sequences almost identical to the widespread bacterium Alcaligenes faecalis, to low G+C gram-positive bacteria and to Acidithiobacillus ferrooxidans (formerly Thiobacillus ferrooxidans) within the gamma subclass of Proteobacteria in the upper reactor sector. Although bacterial phylotypes originating from the groundwater outflow of the reactors also grouped within different subdivisions of Proteobacteria and low G+C gram-positive bacteria, most of the 16S rDNA sequences were not associated with the sequence types observed in the reactor samples. Our results suggest that the different environments were inhabited by distinct microbial communities in respect to their taxonomic diversity, particular pronounced between sediment attached microbial communities from the reactor samples and free-living bacteria from the groundwater in- and outflow.
C1 UFZ Helmholtz Ctr Environm Res, Sekt Umweltmikrobiol, D-04318 Leipzig, Germany.
RP UFZ Helmholtz Ctr Environm Res, Sekt Umweltmikrobiol, D-04318 Leipzig, Germany.
EM alfreid@umb.ufz.de
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
BAKERMANS C, AF351223 GENB
Chandler DP, 1998, MICROBIAL ECOL, V36, P37, DOI 10.1007/s002489900091
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Dojka MA, 1998, APPL ENVIRON MICROB, V64, P3869
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Hugenholtz P, 1998, J BACTERIOL, V180, P4765, DOI 10.1128/JB.180.18.4765-4774.1998
Hugenholtz P, 1998, J BACTERIOL, V180, P366, DOI 10.1128/JB.180.2.366-376.1998
Hugenholtz P, 2001, APPL ENVIRON MICROB, V67, P411, DOI 10.1128/AEM.67.1.411-419.2001
Hughes JB, 2001, APPL ENVIRON MICROB, V67, P4399, DOI 10.1128/AEM.67.10.4399-4406.2001
KOLBELBOELKE J, 1988, MICROB ECOL, V16, P31, DOI 10.1007/BF02097403
Lane D. J., 1991, NUCL ACID TECHNIQUES, P148
Ludwig W, 1998, ELECTROPHORESIS, V19, P554, DOI 10.1002/elps.1150190416
Maidak BL, 2001, NUCLEIC ACIDS RES, V29, P173, DOI 10.1093/nar/29.1.173
MERKEL P, 2000, P 7 INT FZK TNO C CO, V1
Müller RH, 1999, MICROBIOL RES, V154, P241, DOI 10.1016/S0944-5013(99)80021-4
Nubel U, 1996, J BACTERIOL, V178, P5636
Paul JH, 2000, MAR ECOL PROG SER, V198, P9, DOI 10.3354/meps198009
Pukall R, 1999, FEMS MICROBIOL ECOL, V28, P335, DOI 10.1016/S0168-6496(98)00117-2
Qiu XY, 2001, APPL ENVIRON MICROB, V67, P880, DOI 10.1128/AEM.67.2.880-887.2001
Radajewski S, 2000, NATURE, V403, P646, DOI 10.1038/35001054
Röling WFM, 2001, APPL ENVIRON MICROB, V67, P4619, DOI 10.1128/AEM.67.10.4619-4629.2001
Schlötelburg C, 2000, INT J SYST EVOL MICR, V50, P1505, DOI 10.1099/00207713-50-4-1505
Schulze R, 1999, SYST APPL MICROBIOL, V22, P205, DOI 10.1016/S0723-2020(99)80067-8
Speksnijder AGCL, 2001, APPL ENVIRON MICROB, V67, P469, DOI 10.1128/AEM.67.1.469-472.2001
Strunk O., ARB SOFTWARE ENV SEQ
Theron J, 2000, CRIT REV MICROBIOL, V26, P37, DOI 10.1080/10408410091154174
TORSVIK V, 1990, APPL ENVIRON MICROB, V56, P776, DOI 10.1128/AEM.56.3.776-781.1990
Vogt C, 2000, BIOREMEDIATION AND PHYTOREMEDIATION OF CHLORINATED RECALCITRANT COMPOUNDS, P133
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
WAGNER M, 1993, APPL ENVIRON MICROB, V59, P1520, DOI 10.1128/AEM.59.5.1520-1525.1993
Watanabe K, 2000, APPL ENVIRON MICROB, V66, P4803, DOI 10.1128/AEM.66.11.4803-4809.2000
Watanabe K, 2001, CURR OPIN BIOTECH, V12, P237, DOI 10.1016/S0958-1669(00)00205-6
Weiss H, 1998, IAHS-AISH P, P443
NR 35
TC 84
Z9 89
PD AUG
PY 2002
VL 25
IS 2
BP 232
EP 240
DI 10.1078/0723-2020-00111
UT WOS:000178458000010
DA 2025-07-30
ER
PT J
AU Koh, EY
Atamna-Ismaeel, N
Martin, A
Cowie, ROM
Beja, O
Davy, SK
Maas, EW
Ryan, KG
AF Koh, Eileen Y.
Atamna-Ismaeel, Nof
Martin, Andrew
Cowie, Rebecca O. M.
Beja, Oded
Davy, Simon K.
Maas, Elizabeth W.
Ryan, Ken G.
TI Proteorhodopsin-Bearing Bacteria in Antarctic Sea Ice
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Proteorhodopsins (PRs) are widespread bacterial integral membrane proteins that function as light-driven proton pumps. Antarctic sea ice supports a complex community of autotrophic algae, heterotrophic bacteria, viruses, and protists that are an important food source for higher trophic levels in ice-covered regions of the Southern Ocean. Here, we present the first report of PR-bearing bacteria, both dormant and active, in Antarctic sea ice from a series of sites in the Ross Sea using gene-specific primers. Positive PR sequences were generated from genomic DNA at all depths in sea ice, and these sequences aligned with the classes Alphaproteobacteria, Gammaproteobacteria, and Flavobacteria. The sequences showed some similarity to previously reported PR sequences, although most of the sequences were generally distinct. Positive PR sequences were also observed from cDNA reverse transcribed from RNA isolated from sea ice samples. This finding indicates that these sequences were generated from metabolically active cells and suggests that the PR gene is functional within sea ice. Both blue-absorbing and green-absorbing forms of PRs were detected, and only a limited number of blue-absorbing forms were found and were in the midsection of the sea ice profile in this study. Questions still remain regarding the protein's ecological functions, and ultimately, field experiments will be needed to establish the ecological and functional role of PRs in the sea ice ecosystem.
C1 [Koh, Eileen Y.; Cowie, Rebecca O. M.; Davy, Simon K.; Ryan, Ken G.] Victoria Univ Wellington, Sch Biol Sci, Wellington 6140, New Zealand.
[Atamna-Ismaeel, Nof; Beja, Oded] Technion Israel Inst Technol, Fac Biol, IL-3200 Haifa, Israel.
[Martin, Andrew] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia.
[Maas, Elizabeth W.] Natl Inst Water & Atmospher Res, Wellington, New Zealand.
RP Koh, EY (corresponding author), Victoria Univ Wellington, Sch Biol Sci, POB 600, Wellington 6140, New Zealand.
EM koh_eileen@yahoo.com
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Arrigo KR, 2004, ANTARCT SCI, V16, P471, DOI 10.1017/S0954102004002263
Arrigo KR, 1998, J GEOPHYS RES-OCEANS, V103, P15587, DOI 10.1029/98JC00930
Atamna-Ismaeel N, 2008, ISME J, V2, P656, DOI 10.1038/ismej.2008.27
Atkinson A, 2004, NATURE, V432, P100, DOI 10.1038/nature02996
AZAM F, 1991, POLAR RES, V10, P239, DOI 10.1111/j.1751-8369.1991.tb00649.x
Bachoon DS, 2001, FEMS MICROBIOL LETT, V201, P127, DOI 10.1111/j.1574-6968.2001.tb10745.x
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bielawski JP, 2004, P NATL ACAD SCI USA, V101, P14824, DOI 10.1073/pnas.0403999101
BIRNBOIM HC, 1979, NUCLEIC ACIDS RES, V7, P1513
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Brown MV, 2001, FEMS MICROBIOL ECOL, V35, P267, DOI 10.1016/S0168-6496(01)00100-3
Bryant DA, 2006, TRENDS MICROBIOL, V14, P488, DOI 10.1016/j.tim.2006.09.001
BUCKLEY RG, 1987, NATURE, V326, P867, DOI 10.1038/326867a0
BUCKLEY RG, 1987, COLD REG SCI TECHNOL, V14, P201, DOI 10.1016/0165-232X(87)90036-X
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Cottrell MT, 2009, APPL ENVIRON MICROB, V75, P4958, DOI 10.1128/AEM.00117-09
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
GARRISON DL, 1986, BIOSCIENCE, V36, P243, DOI 10.2307/1310214
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
GOSINK JJ, 1998, INT J SYST EVOL MICR, V34, P223
Gross L, 2005, PLOS BIOL, V3, P557, DOI 10.1371/journal.pbio.0030127
Howard-Williams C, 2006, ANTARCT SCI, V18, P465, DOI 10.1017/S0954102006000514
Huelsenbeck JP, 2001, BIOINFORMATICS, V17, P754, DOI 10.1093/bioinformatics/17.8.754
Jiao NZ, 2006, CHINESE SCI BULL, V51, P889, DOI 10.1007/s11434-008-0889-x
Johnsen S., 2004, Oceanus, V43, P1
KANEKO T, 1977, NATURE, V270, P596, DOI 10.1038/270596a0
Karl DM, 2007, NAT REV MICROBIOL, V5, P759, DOI 10.1038/nrmicro1749
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
LEGENDRE L, 1992, POLAR BIOL, V12, P429
Lizotte MP, 2001, AM ZOOL, V41, P57, DOI 10.1668/0003-1569(2001)041[0057:TCOSIA]2.0.CO;2
Longnecker K, 2005, APPL ENVIRON MICROB, V71, P7737, DOI 10.1128/AEM.71.12.7737-7749.2005
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Man-Aharonovich D, 2004, PHOTOCH PHOTOBIO SCI, V3, P459, DOI 10.1039/b316071h
Martin A, 2008, AQUAT MICROB ECOL, V52, P25, DOI 10.3354/ame01205
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
McMinn A, 1999, BOT MAR, V42, P401, DOI 10.1515/BOT.1999.046
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Ortega-Retuerta E, 2008, AQUAT MICROB ECOL, V52, P99, DOI 10.3354/ame01216
Pearce I, 2007, AQUAT MICROB ECOL, V47, P11, DOI 10.3354/ame047011
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Ryan KG, 2006, ANTARCT SCI, V18, P583, DOI 10.1017/S0954102006000629
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sabehi G, 2007, ISME J, V1, P48, DOI 10.1038/ismej.2007.10
Sánchez O, 2009, AQUAT MICROB ECOL, V54, P211, DOI 10.3354/ame01267
Seshadri R, 2007, PLOS BIOL, V5, P394, DOI 10.1371/journal.pbio.0050075
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Spudich JL, 2000, ANNU REV CELL DEV BI, V16, P365, DOI 10.1146/annurev.cellbio.16.1.365
Spudich JL, 2006, TRENDS MICROBIOL, V14, P480, DOI 10.1016/j.tim.2006.09.005
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
SULLIVAN CW, 1984, APPL ENVIRON MICROB, V47, P788, DOI 10.1128/AEM.47.4.788-795.1984
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Temperton B, 2009, ISME J, V3, P792, DOI 10.1038/ismej.2009.32
Thomas DN, 2002, SCIENCE, V295, P641, DOI 10.1126/science.1063391
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Walter JM, 2007, P NATL ACAD SCI USA, V104, P2408, DOI 10.1073/pnas.0611035104
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Zhao MR, 2009, APPL ENVIRON MICROB, V75, P529, DOI 10.1128/AEM.01114-08
NR 64
TC 57
Z9 67
PD SEP
PY 2010
VL 76
IS 17
BP 5918
EP 5925
DI 10.1128/AEM.00562-10
UT WOS:000281288000031
DA 2025-07-30
ER
PT J
AU Zakem, EJ
McNichol, J
Weissman, JL
Raut, Y
Xu, L
Halewood, ER
Carlson, CA
Dutkiewicz, S
Fuhrman, JA
Levine, NM
AF Zakem, Emily J.
McNichol, Jesse
Weissman, J. L.
Raut, Yubin
Xu, Liang
Halewood, Elisa R.
Carlson, Craig A.
Dutkiewicz, Stephanie
Fuhrman, Jed A.
Levine, Naomi M.
TI Functional biogeography of marine microbial heterotrophs
SO SCIENCE
DT Article
AB Heterotrophic bacteria and archaea ("heteroprokaryotes") drive global carbon cycling, but how to quantitatively organize their functional complexity remains unclear. We generated a global-scale understanding of marine heteroprokaryotic functional biogeography by synthesizing genetic sequencing data with a mechanistic marine ecosystem model. We incorporated heteroprokaryotic diversity into the trait-based model along two axes: substrate lability and growth strategy. Using genetic sequences along three ocean transects, we compiled 21 heteroprokaryotic guilds and estimated their degree of optimization for rapid growth (copiotrophy). Data and model consistency indicated that gradients in grazing and substrate lability predominantly set biogeographical patterns, and we identified deep-ocean "slow copiotrophs" whose ecological interactions control the surface accumulation of dissolved organic carbon.
C1 [Zakem, Emily J.; Xu, Liang] Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA.
[McNichol, Jesse] St Francis Xavier Univ, Dept Biol, Antigonish, NS, Canada.
[McNichol, Jesse; Raut, Yubin; Fuhrman, Jed A.; Levine, Naomi M.] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA USA.
[Weissman, J. L.] SUNY Stony Brook Univ, Inst Adv Computat Sci, Stony Brook, NY USA.
[Weissman, J. L.] SUNY Stony Brook, Dept Ecol & Evolut, Stony Brook, NY 11794 USA.
[Weissman, J. L.] CUNY, Dept Biol, New York, NY USA.
[Raut, Yubin; Dutkiewicz, Stephanie] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA USA.
[Halewood, Elisa R.; Carlson, Craig A.] Univ Calif Santa Barbara, Marine Sci Inst, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
[Dutkiewicz, Stephanie] MIT, Ctr Sustainabil Sci & Strat, Cambridge, MA USA.
RP Zakem, EJ (corresponding author), Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA.
EM ezakem@carnegiescience.edu
CR Abreu CI, 2023, SCI ADV, V9, DOI 10.1126/sciadv.ade8352
Allison SD, 2012, ECOL LETT, V15, P1058, DOI 10.1111/j.1461-0248.2012.01807.x
ANDERSON LA, 1995, DEEP-SEA RES PT I, V42, P1675, DOI 10.1016/0967-0637(95)00072-E
Anderson RF, 2020, ANNU REV MAR SCI, V12, P49, DOI 10.1146/annurev-marine-010318-095123
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Boeuf D, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01119-5
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Brown MV, 2014, MAR GENOM, V15, P17, DOI 10.1016/j.margen.2014.03.002
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
CARLSON CA, 1995, DEEP-SEA RES PT II, V42, P639, DOI 10.1016/0967-0645(95)00023-J
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
Coles VJ, 2017, SCIENCE, V358, P1149, DOI 10.1126/science.aan5712
Couso LL, 2023, ENVIRON MICROBIOL, V25, P3052, DOI 10.1111/1462-2920.16495
Dadon-Pilosof A, 2017, NAT MICROBIOL, V2, P1608, DOI 10.1038/s41564-017-0030-5
Drula E, 2022, NUCLEIC ACIDS RES, V50, pD571, DOI 10.1093/nar/gkab1045
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Dutkiewicz S, 2015, BIOGEOSCIENCES, V12, P4447, DOI 10.5194/bg-12-4447-2015
Dutkiewicz S, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2008GB003405
Dutkiewicz S, 2015, NAT CLIM CHANGE, V5, P1002, DOI [10.1038/NCLIMATE2722, 10.1038/nclimate2722]
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Follett CL, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2110993118
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Forney DC, 2012, J R SOC INTERFACE, V9, P2255, DOI 10.1098/rsif.2012.0122
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goldford JE, 2018, SCIENCE, V361, P469, DOI 10.1126/science.aat1168
Gralka M, 2023, NAT MICROBIOL, V8, P1799, DOI 10.1038/s41564-023-01458-z
Green JL, 2008, SCIENCE, V320, P1039, DOI 10.1126/science.1153475
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Guo J., 2023, Geophys. Res. Lett, V50
Hansell DA, 2013, ANNU REV MAR SCI, V5, P421, DOI 10.1146/annurev-marine-120710-100757
Hedges JI, 2000, ORG GEOCHEM, V31, P945, DOI 10.1016/S0146-6380(00)00096-6
Henson SA, 2022, NAT GEOSCI, V15, P248, DOI 10.1038/s41561-022-00927-0
Henson SA, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL046735
HOLT RD, 1977, THEOR POPUL BIOL, V12, P197, DOI 10.1016/0040-5809(77)90042-9
Hunter JD, 2007, COMPUT SCI ENG, V9, P90, DOI 10.1109/MCSE.2007.55
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Koch AL, 2001, BIOESSAYS, V23, P657, DOI 10.1002/bies.1091
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lennartz ST, 2024, GLOBAL BIOGEOCHEM CY, V38, DOI 10.1029/2023GB007912
Lennon JT, 2024, MBIO, V15, DOI 10.1128/mbio.00455-24
Litchman E, 2007, ECOL LETT, V10, P1170, DOI 10.1111/j.1461-0248.2007.01117.x
Litchman E, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00254
Liu ST, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.833252
Liu ST, 2020, LIMNOL OCEANOGR, V65, P1532, DOI 10.1002/lno.11405
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Manganelli M, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006941
MARTIN JH, 1987, DEEP-SEA RES, V34, P267, DOI 10.1016/0198-0149(87)90086-0
Martiny AC, 2013, ISME J, V7, P830, DOI 10.1038/ismej.2012.160
Martiny JBH, 2015, SCIENCE, V350, DOI 10.1126/science.aac9323
McNichol J., 2025, **DATA OBJECT**, DOI 10.5281/zenodo.14872722
McNichol J., 2025, bioRxiv, DOI [DOI 10.1101/2025.02.19.638942, 10.1101/2025.02.19.638942]
McNichol J, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00565-21
Meiler S, 2022, LIMNOL OCEANOGR, V67, P816, DOI 10.1002/lno.12036
Milke F, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-41909-z
Moran MA, 2022, NAT MICROBIOL, V7, P508, DOI 10.1038/s41564-022-01090-3
Noell SE, 2019, ENVIRON MICROBIOL, V21, P2559, DOI 10.1111/1462-2920.14649
Norris N, 2021, PLOS COMPUT BIOL, V17, DOI 10.1371/journal.pcbi.1009023
Omta AW, 2023, ECOL MODEL, V475, DOI 10.1016/j.ecolmodel.2022.110183
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Parks DH, 2022, NUCLEIC ACIDS RES, V50, pD785, DOI 10.1093/nar/gkab776
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Salazar G, 2015, MOL ECOL, V24, P5692, DOI 10.1111/mec.13419
Saw JHW, 2020, MBIO, V11, DOI 10.1128/mBio.02975-19
Schlitzer R, 2000, GEOPHYS MONOGR SER, V114, P107
Scrucca L, 2016, R J, V8, P289
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Séférian R, 2020, CURR CLIM CHANGE REP, V6, P95, DOI 10.1007/s40641-020-00160-0
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Siegel DA, 2014, GLOBAL BIOGEOCHEM CY, V28, P181, DOI 10.1002/2013GB004743
Signori CN, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00647
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Soler-Bistué A, 2023, ENVIRON MICROBIOL, V25, P1232, DOI 10.1111/1462-2920.16360
Steen AD, 2019, ISME J, V13, P3126, DOI 10.1038/s41396-019-0484-y
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Swan CM, 2009, DEEP-SEA RES PT I, V56, P2175, DOI 10.1016/j.dsr.2009.09.002
Team RC, 2021, R LANG ENV STAT COMP, V1, P371
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Vieira-Silva S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000808
Volk T., 1985, GEOPHYS MONOGR SER, P99, DOI [DOI 10.1029/GM032P0099, 10.1029/GM032p0099]
Ward BA, 2012, LIMNOL OCEANOGR, V57, P1877, DOI 10.4319/lo.2012.57.6.1877
Weissman JL, 2022, bioRxiv, DOI [10.1101/2021.10.15.464604, DOI 10.1101/2021.10.15.464604, 10.1101/2021.10.15.464604]
Weissman J. L., 2025, **DATA OBJECT**, DOI 10.5281/zenodo.14872552
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
Wieder WR, 2013, NAT CLIM CHANGE, V3, P909, DOI [10.1038/nclimate1951, 10.1038/NCLIMATE1951]
Wietz M, 2010, AQUAT MICROB ECOL, V61, P179, DOI 10.3354/ame01443
Wunsch C, 2007, PHYSICA D, V230, P197, DOI 10.1016/j.physd.2006.09.040
Yarza P, 2014, NAT REV MICROBIOL, V12, P635, DOI 10.1038/nrmicro3330
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zakem EJ, 2017, LIMNOL OCEANOGR, V62, P795, DOI 10.1002/lno.10461
Zakem E. J., 2025, **DATA OBJECT**, DOI 10.5281/zenodo.14681401
Zakem EJ, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016896118
Zakem EJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19454-w
Zakem EJ, 2019, GLOBAL BIOGEOCHEM CY, V33, P1389, DOI 10.1029/2019GB006375
Zakem EJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03553-w
Zheng JF, 2023, NUCLEIC ACIDS RES, V51, pW115, DOI 10.1093/nar/gkad328
NR 96
TC 0
Z9 0
PD MAY 22
PY 2025
VL 388
IS 6749
AR eado5323
DI 10.1126/science.ado5323
UT WOS:001494011800018
DA 2025-07-30
ER
PT J
AU Bandekar, M
More, KD
Seleyi, SC
Ramaiah, N
Kekälänen, J
Akkanen, J
AF Bandekar, Mandar
More, Kuldeep D.
Seleyi, Seyieleno C.
Ramaiah, Nagappa
Kekalanen, Jukka
Akkanen, Jarkko
TI Comparative analysis of microbiome inhabiting oxygenated and
deoxygenated habitats using V3 and V6 metabarcoding of 16S rRNA gene
SO MARINE ENVIRONMENTAL RESEARCH
DT Article
AB We examine how oxygen levels and the choice of 16S ribosomal RNA (rRNA) tags impact marine bacterial communities using Next-Generation amplicon sequencing. Analyzing V3 and V6 regions, we assess microbial composition in both Oxygen minimum zones (OMZ) and non-OMZ (NOMZ) areas in the Arabian Sea (AS) and the Central Indian Ocean basin (CIOB) respectively. Operational taxonomic units (OTUs) at 97% similarity showed slightly higher richness and diversity with V6 compared to V3. Vertical diversity patterns were consistent across both regions. NOMZ showed greater richness and diversity than OMZ. AS and CIOB exhibited significant differences in bacterial community, diversity, and relative abundance at the order and family levels. Alteromonadaceae dominated the OMZ, while Pelagibacteraceae dominated the NOMZ. Synechococcaceae were found exclusively at 250 m in OMZ. Bacteria putatively involved in nitrification, denitrification, and sulfurylation were detected at both sites. Dissolved oxygen significantly influenced microbial diversity at both sites, while seasonal environmental parameters affected diversity consistently, with no observed temporal variation.
C1 [Bandekar, Mandar; Akkanen, Jarkko] Univ Eastern Finland, Dept Environm & Biol Sci, Joensuu, Kuopio, Finland.
[More, Kuldeep D.] CSIR Natl Inst Oceanog, Business Dev Grp, Panaji 403004, Goa, India.
[Seleyi, Seyieleno C.] Minist Earth Sci, Natl Inst Ocean Technol, Marine Biotechnol Div, Chennai, India.
[Bandekar, Mandar; Ramaiah, Nagappa] CSIR Natl Inst Oceanog, Biol Oceanog Div, Panaji 403004, Goa, India.
RP Bandekar, M (corresponding author), Univ Eastern Finland, Dept Environm & Biol Sci, Joensuu, Kuopio, Finland.
EM mandar.bandekar@uef.fi
CR Bandekar M, 2018, DEEP-SEA RES PT II, V156, P4, DOI 10.1016/j.dsr2.2017.12.015
Banse K, 2014, BIOGEOSCIENCES, V11, P2237, DOI 10.5194/bg-11-2237-2014
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Bhattathiri PMA, 1996, CURR SCI INDIA, V71, P857
Boeuf D, 2019, P NATL ACAD SCI USA, V116, P11824, DOI 10.1073/pnas.1903080116
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Cao HL, 2016, SCI REP-UK, V6, DOI 10.1038/srep22842
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
CARPENTER JAMES H., 1965, LIMNOL OCEANOGR, V10, P141
Cavaco MA, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.867310
Chorus I., 1999, Toxic cyanobacteria in water: a guide to their public health consequences, monitoring and management
Clarke KR, 2008, J EXP MAR BIOL ECOL, V366, P56, DOI 10.1016/j.jembe.2008.07.009
Clarke KR, 2006, PRIMER v6: User Manual/Tutorial
Crump BC, 2007, APPL ENVIRON MICROB, V73, P6802, DOI 10.1128/AEM.00648-07
Esposti MD, 2019, MOL PHYLOGENET EVOL, V139, DOI 10.1016/j.ympev.2019.106546
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
deSousa SN, 1996, CURR SCI INDIA, V71, P847
DETMER AE, 1993, MAR ECOL PROG SER, V99, P197, DOI 10.3354/meps099197
Ding CL, 2021, BIOLOGY-BASEL, V10, DOI 10.3390/biology10030248
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fernandes GL, 2020, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.03153
Ferrari VC, 1999, HYDROBIOLOGIA, V401, P55, DOI 10.1023/A:1003773907789
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Garrity G.M., 2005, Bergey's Manual of Systematic Bacteriology, P999
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grasshoff K., 1999, Methods of Seawater Analysis, Vthird, P159, DOI [DOI 10.1002/9783527613984, 10.1002/9783527613984.ch10, 10.1002/9783527613984]
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Hwang CY, 2016, INT J SYST EVOL MICR, V66, P3377, DOI 10.1099/ijsem.0.001202
IKEMOTO H, 1994, MICROBIOL-SGM, V140, P2153, DOI 10.1099/13500872-140-8-2153
Ivars-Martinez E, 2008, ISME J, V2, P1194, DOI 10.1038/ismej.2008.74
Jain A, 2014, AQUAT MICROB ECOL, V73, P51, DOI 10.3354/ame01704
Joye S.B., 2022, The Marine Microbiome. The Microbiomes of Humans, Animals, Plants, and the Environment, V3
Karstensen J, 2008, PROG OCEANOGR, V77, P331, DOI 10.1016/j.pocean.2007.05.009
Kerrigan Z, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01640
Komárek J, 2014, PRESLIA, V86, P295
Lachkar Z, 2023, FRONT MAR SCI, V10, DOI 10.3389/fmars.2023.1122043
Lachkar Z, 2018, BIOGEOSCIENCES, V15, P159, DOI 10.5194/bg-15-159-2018
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lebret K, 2016, MAR GENOM, V29, P39, DOI 10.1016/j.margen.2016.09.001
Liu ZZ, 2008, NUCLEIC ACIDS RES, V36, DOI 10.1093/nar/gkn491
Löscher CR, 2016, BIOGEOSCIENCES, V13, P3585, DOI 10.5194/bg-13-3585-2016
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
Lucker S., 2014, The Prokaryotes, P231, DOI DOI 10.1007/978-3-642-39044-9_402
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Miller TR, 2010, J BACTERIOL, V192, P6101, DOI 10.1128/JB.01030-10
Moran MA, 2003, GEOMICROBIOL J, V20, P375, DOI 10.1080/01490450303901
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Mysara M, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix029
Ortmann AC, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw133
Paingankar MS, 2020, CURR SCI INDIA, V118, P1042, DOI 10.18520/cs/v118/i7/1042-1051
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Pedler BE, 2014, P NATL ACAD SCI USA, V111, P7202, DOI 10.1073/pnas.1401887111
Qian PY, 2011, ISME J, V5, P507, DOI 10.1038/ismej.2010.112
Quéric NV, 2004, J MICROBIOL METH, V57, P351, DOI 10.1016/j.mimet.2004.02.005
Rainey F, 2021, Bergey's manual of systematics of archaea and bacteria, P1, DOI DOI 10.1002/9781118960608.GBM01190.PUB2
Rajpathak SN, 2018, J BIOSCIENCES, V43, P635, DOI 10.1007/s12038-018-9781-2
Riemann L, 1999, DEEP-SEA RES PT II, V46, P1791, DOI 10.1016/S0967-0645(99)00044-2
Satomi M., 2014, PROKARYOTES, P491, DOI [10.1007/978-3-642-38922-1286, DOI 10.1007/978-3-642-38922-1286]
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sengupta R., 1975, Indian J. Mar. Sci., V4, P136
Singh A. D., 2023, Evolving Earth, V1, DOI [10.1016/j.eve.2023.100028, DOI 10.1016/J.EVE.2023.100028]
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sorokin D.Y., 2023, Bergey's Manual of Systematics of Archaea and Bacteria, P1, DOI [10.1002/9781118960608.fbm00393, DOI 10.1002/9781118960608.FBM00393]
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Tedersoo L, 2010, NEW PHYTOL, V188, P291, DOI 10.1111/j.1469-8137.2010.03373.x
Thompson JR, 2006, BIOLOGY OF VIBRIOS, P190
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Wommack KE, 2013, MICROBIOME, V1, DOI 10.1186/2049-2618-1-1
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Youssef N, 2009, APPL ENVIRON MICROB, V75, P5227, DOI 10.1128/AEM.00592-09
Zehr JP, 2002, APPL ENVIRON MICROB, V68, P1015, DOI 10.1128/AEM.68.3.1015-1024.2002
Zhao F, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02559
NR 81
TC 1
Z9 1
PD JUL
PY 2024
VL 199
AR 106615
DI 10.1016/j.marenvres.2024.106615
EA JUN 2024
UT WOS:001266499900001
DA 2025-07-30
ER
PT J
AU Franklin, MP
McDonald, IR
Bourne, DG
Owens, NJP
Upstill-Goddard, RC
Murrell, JC
AF Franklin, MP
McDonald, IR
Bourne, DG
Owens, NJP
Upstill-Goddard, RC
Murrell, JC
TI Bacterial diversity in the bacterioneuston (sea surface microlayer): the
bacterioneuston through the looking glass
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The bacterioneuston is defined as the community of bacteria present within the neuston or sea surface microlayer. Bacteria within this layer were sampled using a membrane filter technique and bacterial diversity was compared with that in the underlying pelagic coastal seawater using molecular ecological techniques. 16S rRNA gene libraries of approximate to 500 clones were constructed from both bacterioneuston and the pelagic water samples and representative clones from each library were sequenced for comparison of bacterial diversity. The bacterioneuston was found to have a significantly lower bacterial diversity than the pelagic seawater, with only nine clone types (ecotaxa) as opposed to 46 ecotaxa in the pelagic seawater library. Surprisingly, the bacterioneuston clone library was dominated by 16S rRNA gene sequences affiliated to two groups of organisms, Vibrio spp. which accounted for over 68% of clones and Pseudoalteromonas spp. accounting for 21% of the library. The dominance of these two 16S rRNA gene sequence types within the bacterioneuston clone library was confirmed in a subsequent gene probing experiment. 16S rRNA gene probes specific for these groups of bacteria were designed and used to probe new libraries of 1000 clones from both the bacterioneuston and pelagic seawater DNA samples. This revealed that 57% of clones from the bacterioneuston library hybridized to a Vibrio sp.-specific 16S rRNA gene probe and 32% hybridized to a Pseudoalteromonas sp.-specific 16S rRNA gene probe. In contrast, the pelagic seawater library resulted in only 13% and 8% of 16S rRNA gene clones hybridizing to the Vibrio sp. and Pseudoalteromonas sp. probes respectively. Results from this study suggest that the bacterioneuston contains a distinct population of bacteria and warrants further detailed study at the molecular level.
C1 Univ Warwick, Dept Biol Sci, Coventry CV4 7AL, W Midlands, England.
Newcastle Univ, Sch Marine Sci & Technol, Ocean Res Grp, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
Plymouth Marine Lab, Plymouth, Devon, England.
RP Univ Warwick, Dept Biol Sci, Coventry CV4 7AL, W Midlands, England.
EM j.c.murrell@warwick.ac.uk
CR Agogué H, 2004, LIMNOL OCEANOGR-METH, V2, P213, DOI 10.4319/lom.2004.2.213
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
[Anonymous], 1980, ADV MICROBIAL ECOLOG
Beardsley C, 2003, APPL ENVIRON MICROB, V69, P2624, DOI 10.1128/AEM.69.5.2624-2630.2003
BEZDEK HF, 1972, LIMNOL OCEANOGR, V17, P566, DOI 10.4319/lo.1972.17.4.0566
Bowman JP, 1997, APPL ENVIRON MICROB, V63, P3068, DOI 10.1128/AEM.63.8.3068-3078.1997
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
CARTY C, 1975, Journal of the Washington Academy of Sciences, V65, P148
Cole JR, 2003, NUCLEIC ACIDS RES, V31, P442, DOI 10.1093/nar/gkg039
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
CONRAD R, 1988, J ATMOS CHEM, V6, P83, DOI 10.1007/BF00048333
CROW SA, 1975, LIMNOL OCEANOGR, V20, P644, DOI 10.4319/lo.1975.20.4.0644
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
García-Martínez J, 2002, ENVIRON MICROBIOL, V4, P42, DOI 10.1046/j.1462-2920.2002.00255.x
Garrett W.D., 1980, AIR SEA INTERACTION, P471
GARRETT WD, 1967, DEEP-SEA RES, V14, P221, DOI 10.1016/0011-7471(67)90007-1
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GIOVANNONI SJ, 1988, J BACTERIOL, V170, P720, DOI 10.1128/jb.170.2.720-726.1988
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
Hale MS, 1997, MAR ECOL PROG SER, V147, P269, DOI 10.3354/meps147269
HAMILTON EI, 1979, LIMNOL OCEANOGR, V24, P188, DOI 10.4319/lo.1979.24.1.0188
HARDY JT, 1982, PROG OCEANOGR, V11, P307, DOI 10.1016/0079-6611(82)90001-5
HARVEY GW, 1966, LIMNOL OCEANOGR, V11, P608, DOI 10.4319/lo.1966.11.4.0608
HARVEY GW, 1972, LIMNOL OCEANOGR, V17, P156, DOI 10.4319/lo.1972.17.1.0156
Hermansson M., 1990, The Biology of particles in Aquatic Systems, P145
Holmström C, 1999, FEMS MICROBIOL ECOL, V30, P285, DOI 10.1111/j.1574-6941.1999.tb00656.x
KJELLEBERG S, 1979, MAR BIOL, V53, P21, DOI 10.1007/BF00386525
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Ludwig W, 1998, ELECTROPHORESIS, V19, P554, DOI 10.1002/elps.1150190416
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
MACINTYRE F, 1974, SCI AM, V230, P62, DOI 10.1038/scientificamerican0574-62
MACINTYRE F, 1968, J PHYS CHEM-US, V72, P589, DOI 10.1021/j100848a034
Maki James S., 1993, P409
Maki JS., 2002, Encyclopedia of environmental microbiology, P2133
Morita R.Y., 1970, Organic Matter in Natural Waters, P275
Munster U, 1997, HYDROBIOLOGIA, V363, P261
Naumann E., 1917, Biologisches Zentralblatt Leipzig, V37
Radajewski S, 2002, MICROBIOL-SGM, V148, P2331, DOI 10.1099/00221287-148-8-2331
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ravenschlag K, 1999, APPL ENVIRON MICROB, V65, P3982
Sambrook J., 1989, Molecular Cloning: A Laboratory Manual
Sieburth JM., 1983, AIR SEA EXCHANGE GAS, P121, DOI 10.1007/978-94-009-7169-1_3
SIEBURTH JM, 1971, DEEP-SEA RES, V18, P1111, DOI 10.1016/0011-7471(71)90096-9
SIEBURTH JM, 1965, T JT C OCEAN SCI OCE, P1064
SIEBURTH JMN, 1976, SCIENCE, V194, P1415, DOI 10.1126/science.194.4272.1415
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
TSIBAN AV, 1975, PROG WATER TECHNOL, V7, P793
TSYBAN A V, 1971, Journal of the Oceanographical Society of Japan, V27, P56, DOI 10.1007/BF02109331
Upstill-Goddard RC, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2003GB002043
Zhang ZB, 1998, J COLLOID INTERF SCI, V204, P294
NR 58
TC 92
Z9 110
PD MAY
PY 2005
VL 7
IS 5
BP 723
EP 736
DI 10.1111/j.1462-2920.2004.00736.x
UT WOS:000228266600012
DA 2025-07-30
ER
PT J
AU Gray, MW
AF Gray, Michael W.
TI The Pre-Endosymbiont Hypothesis: A New Perspective on the Origin and
Evolution of Mitochondria
SO COLD SPRING HARBOR PERSPECTIVES IN BIOLOGY
DT Article
AB Mitochondrial DNA (mtDNA) is unquestionably the remnant of an alpha-proteobacterial genome, yet only similar to 10%-20% of mitochondrial proteins are demonstrably alpha-proteobacterial in origin (the "alpha-proteobacterial component," or APC). The evolutionary ancestry of the non-alpha-proteobacterial component (NPC) is obscure and not adequately accounted for in current models of mitochondrial origin. I propose that in the host cell that accommodated an alpha-proteobacterial endosymbiont, much of the NPC was already present, in the form of a membrane-bound metabolic organelle (the premitochondrion) that compartmentalized many of the non-energy-generating functions of the contemporary mitochondrion. I suggest that this organelle also possessed a protein import system and various ion and small-molecule transporters. In such a scenario, an alpha-proteobacterial endosymbiont could have been converted relatively directly and rapidly into an energy-generating organelle that incorporated the extant metabolic functions of the premitochondrion. This model (the "pre-endosymbiont hypothesis") effectively represents a synthesis of previous, contending mitochondrial origin hypotheses, with the bulk of the mitochondrial proteome (much of the NPC) having an endogenous origin and the minority component (the APC) having a xenogenous origin.
C1 Dalhousie Univ, Ctr Comparat Genom & Evolutionary Bioinformat, Dept Biochem & Mol Biol, Halifax, NS B3M 4R2, Canada.
RP Gray, MW (corresponding author), Dalhousie Univ, Ctr Comparat Genom & Evolutionary Bioinformat, Dept Biochem & Mol Biol, Halifax, NS B3M 4R2, Canada.
EM m.w.gray@dal.ca
CR Adams KL, 2003, MOL PHYLOGENET EVOL, V29, P380, DOI 10.1016/S1055-7903(03)00194-5
Andersson SGE, 1999, CURR OPIN MICROBIOL, V2, P535, DOI 10.1016/S1369-5274(99)00013-2
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
Burger G, 2003, TRENDS GENET, V19, P709, DOI 10.1016/j.tig.2003.10.012
Burger G, 2013, GENOME BIOL EVOL, V5, P418, DOI 10.1093/gbe/evt008
Cardol P, 2011, BBA-BIOENERGETICS, V1807, P1390, DOI 10.1016/j.bbabio.2011.06.015
CASTRESANA J, 1994, EMBO J, V13, P2516, DOI 10.1002/j.1460-2075.1994.tb06541.x
CAVALIERSMITH T, 1987, NATURE, V326, P332, DOI 10.1038/326332a0
CAVALIERSMITH T, 1989, NATURE, V339, P100, DOI 10.1038/339100a0
DOOLITTLE WF, 1980, TRENDS BIOCHEM SCI, V5, P146
Forterre P, 2011, RES MICROBIOL, V162, P77, DOI 10.1016/j.resmic.2010.10.005
Gabaldón T, 2003, SCIENCE, V301, P609, DOI 10.1126/science.1085463
Gabaldón T, 2004, BBA-BIOENERGETICS, V1659, P212, DOI 10.1016/j.bbabio.2004.07.011
Gabaldón T, 2007, PLOS COMPUT BIOL, V3, P2209, DOI 10.1371/journal.pcbi.0030219
Gabaldón T, 2014, CELL MOL LIFE SCI, V71, P2373, DOI 10.1007/s00018-013-1424-z
Georgiades K, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024857
Gray MW, 2001, GENOME BIOL, V2
Gray MW, 2012, CSH PERSPECT BIOL, V4, DOI 10.1101/cshperspect.a011403
Gray MW, 1998, NUCLEIC ACIDS RES, V26, P865, DOI 10.1093/nar/26.4.865
GRAY MW, 1982, MICROBIOL REV, V46, P1
Gray MW, 2003, IUBMB LIFE, V55, P227, DOI 10.1080/1521654031000119425
GRAY MW, 1992, INT REV CYTOL, V141, P233, DOI 10.1016/S0074-7696(08)62068-9
Gray MW, 1999, SCIENCE, V283, P1476, DOI 10.1126/science.283.5407.1476
Hampl V, 2009, P NATL ACAD SCI USA, V106, P3859, DOI 10.1073/pnas.0807880106
Harish A, 2013, BIOCHIMIE, V95, P1593, DOI 10.1016/j.biochi.2013.04.016
Hjort K, 2010, PHILOS T R SOC B, V365, P713, DOI 10.1098/rstb.2009.0224
Huynen MA, 2013, BBA-BIOENERGETICS, V1827, P224, DOI 10.1016/j.bbabio.2012.08.001
Karlberg O, 2000, YEAST, V17, P170, DOI 10.1002/1097-0061(20000930)17:3<170::AID-YEA25>3.0.CO;2-V
Keeling P, 2013, COLD SPRING HARB PER, V6
Keeling PJ, 2013, ANNU REV PLANT BIOL, V64, P583, DOI 10.1146/annurev-arplant-050312-120144
Kiethega GN, 2013, RNA BIOL, V10, P301, DOI 10.4161/rna.23340
Koonin EV, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-5-209
Kurland CG, 2000, MICROBIOL MOL BIOL R, V64, P786, DOI 10.1128/MMBR.64.4.786-820.2000
Lane N, 2010, NATURE, V467, P929, DOI 10.1038/nature09486
Lang BF, 2012, ADV BOT RES, V63, P1, DOI 10.1016/B978-0-12-394279-1.00001-6
Lang BF, 1997, NATURE, V387, P493, DOI 10.1038/387493a0
Marciano-Cabral F, 2004, J EUKARYOT MICROBIOL, V51, P497, DOI 10.1111/j.1550-7408.2004.tb00276.x
Margulis L., 1970, ORIGIN EUKARYOTIC CE
Martin W, 2001, BIOL CHEM, V382, P1521, DOI 10.1515/BC.2001.187
Martin W, 1998, NATURE, V392, P37, DOI 10.1038/32096
Müller M, 2012, MICROBIOL MOL BIOL R, V76, P444, DOI 10.1128/MMBR.05024-11
Pisani D, 2007, MOL BIOL EVOL, V24, P1752, DOI 10.1093/molbev/msm095
RAFF RA, 1972, SCIENCE, V177, P575, DOI 10.1126/science.177.4049.575
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Schnarrenberger C, 2002, EUR J BIOCHEM, V269, P868, DOI 10.1046/j.0014-2956.2001.02722.x
Shiflett AM, 2010, ANNU REV MICROBIOL, V64, P409, DOI 10.1146/annurev.micro.62.081307.162826
Shutt TE, 2006, TRENDS GENET, V22, P90, DOI 10.1016/j.tig.2005.11.007
Szklarczyk R, 2010, PROTEOMICS, V10, P4012, DOI 10.1002/pmic.201000329
TAYLOR FJR, 1987, ANN NY ACAD SCI, V503, P1
Thiergart T, 2012, GENOME BIOL EVOL, V4, P466, DOI 10.1093/gbe/evs018
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
Vlcek C, 2011, NUCLEIC ACIDS RES, V39, P979, DOI 10.1093/nar/gkq883
NR 53
TC 52
Z9 59
PD MAR
PY 2014
VL 6
IS 3
AR a016097
DI 10.1101/cshperspect.a016097
UT WOS:000333120200003
DA 2025-07-30
ER
PT S
AU Gilbert, JA
Dupont, CL
AF Gilbert, Jack A.
Dupont, Christopher L.
BE Carlson, CA
Giovannoni, SJ
TI Microbial Metagenomics: Beyond the Genome
SO ANNUAL REVIEW OF MARINE SCIENCE, VOL 3
SE Annual Review of Marine Science
DT Review; Book Chapter
AB Metagenomics literally means "beyond the genome." Marine microbial metagenomic databases presently comprise similar to 400 billion base pairs of DNA, only similar to 3% of that found in 1 ml of seawater. Very soon a trillion-base-pair sequence run will be feasible, so it is time to reflect on what we have learned from metagenomics. We review the impact of metagenomics on our understanding of marine microbial communities. We consider the studies facilitated by data generated through the Global Ocean Sampling expedition, as well as the revolution wrought at the individual laboratory level through next generation sequencing technologies. We review recent studies and discoveries since 2008, provide a discussion of bioinformatic analyses, including conceptual pipelines and sequence annotation and predict the future of metagenomics, with suggestions of collaborative community studies tailored toward answering some of the fundamental questions in marine microbial ecology.
C1 [Gilbert, Jack A.] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
[Gilbert, Jack A.] Argonne Natl Lab, Argonne, IL 60439 USA.
[Gilbert, Jack A.] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA.
[Dupont, Christopher L.] J Craig Venter Inst, San Diego, CA 92121 USA.
RP Gilbert, JA (corresponding author), Plymouth Marine Lab, Citadel Hill, Plymouth PL1 3DH, Devon, England.
EM gilbertjack@gmail.com; cdupont@jcvi.org
CR Allen AE, 2006, CURR OPIN PLANT BIOL, V9, P264, DOI 10.1016/j.pbi.2006.03.013
[Anonymous], HDB HYDROCARBON LIPI
[Anonymous], PLOS COMP BIOL
[Anonymous], OCEANOGRAPHY
[Anonymous], MMG 445 BASIC BIOTEC
[Anonymous], 2007, PLOS BIOL, DOI DOI 10.1371/journal.pbio.0050016
[Anonymous], NATURE
Babnigg Gyoergy, 2010, Journal of Structural and Functional Genomics, V11, P71, DOI 10.1007/s10969-010-9080-0
Baldauf SL, 2003, SCIENCE, V300, P1703, DOI 10.1126/science.1085544
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2004, CURR OPIN BIOTECH, V15, P187, DOI 10.1016/j.copbio.2004.03.005
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bodaker I, 2010, ISME J, V4, P399, DOI 10.1038/ismej.2009.141
Bourne PE., 2010, Evolutionary genomics and systems biology, P153, DOI [10.1002/9780470570418.ch8, DOI 10.1002/9780470570418.CH8]
Brazelton WJ, 2009, ISME J, V3, P1420, DOI 10.1038/ismej.2009.79
Caron DA, 2009, ISME J, V3, P4, DOI 10.1038/ismej.2008.101
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Cowan DA, 2004, BIOCHEM SOC T, V32, P298, DOI 10.1042/BST0320298
Curson ARJ, 2008, ENVIRON MICROBIOL, V10, P757, DOI 10.1111/j.1462-2920.2007.01499.x
DeLong EE, 2005, NAT REV MICROBIOL, V3, P459, DOI 10.1038/nrmicro1158
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Derelle E, 2006, P NATL ACAD SCI USA, V103, P11647, DOI 10.1073/pnas.0604795103
Dinsdale EA, 2008, NATURE, V452, P629, DOI 10.1038/nature06810
Dinsdale EA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001584
Falkowski PG, 2004, SCIENCE, V304, P58, DOI 10.1126/science.1097146
Falkowski PG, 2004, SCIENCE, V305, P354, DOI 10.1126/science.1095964
Field D, 2008, NAT BIOTECHNOL, V26, P541, DOI 10.1038/nbt1360
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Fuhrman JA, 2008, NAT REV MICROBIOL, V6, P488, DOI 10.1038/nrmicro1893
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Gianoulis TA, 2009, P NATL ACAD SCI USA, V106, P1374, DOI 10.1073/pnas.0808022106
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P111, DOI 10.1111/j.1462-2920.2008.01745.x
Gilbert JA, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003042
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Gough J, 2006, NUCLEIC ACIDS RES, V34, P3625, DOI 10.1093/nar/gkl484
Green BD, 2006, CURR OPIN BIOTECH, V17, P236, DOI 10.1016/j.copbio.2006.05.004
Grzymski JJ, 2006, APPL ENVIRON MICROB, V72, P1532, DOI 10.1128/AEM.72.2.1532-1541.2006
Hackett JD, 2005, BMC GENOMICS, V6, DOI 10.1186/1471-2164-6-80
Handelsman J, 1998, CHEM BIOL, V5, pR245, DOI 10.1016/S1074-5521(98)90108-9
Handelsman J, 2004, MICROBIOL MOL BIOL R, V68, P669, DOI 10.1128/MMBR.68.4.669-685.2004
Hårdeman F, 2007, FEMS MICROBIOL ECOL, V59, P524, DOI 10.1111/j.1574-6941.2006.00206.x
Harrington ED, 2007, P NATL ACAD SCI USA, V104, P13913, DOI 10.1073/pnas.0702636104
Hewson I, 2009, LIMNOL OCEANOGR, V54, P1981, DOI 10.4319/lo.2009.54.6.1981
Huang Y, 2009, MAR BIOTECHNOL, V11, P124, DOI 10.1007/s10126-008-9128-3
Hugenholtz P, 2008, NATURE, V455, P481, DOI 10.1038/455481a
Johnston AWB, 2005, TRENDS MICROBIOL, V13, P416, DOI 10.1016/j.tim.2005.07.002
Karl DM, 2007, NAT REV MICROBIOL, V5, P759, DOI 10.1038/nrmicro1749
Kennedy J, 2007, APPL MICROBIOL BIOT, V75, P11, DOI 10.1007/s00253-007-0875-2
Kennedy J, 2008, MICROB CELL FACT, V7, DOI 10.1186/1475-2859-7-27
Kim EY, 2009, APPL ENVIRON MICROB, V75, P257, DOI 10.1128/AEM.01400-08
Kim TK, 2006, ENVIRON MICROBIOL, V8, P1460, DOI 10.1111/j.1462-2920.2006.01040.x
Kingsford C, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-21
Knoll AH, 2006, PHILOS T R SOC B, V361, P1023, DOI 10.1098/rstb.2006.1843
Lane CE, 2008, TRENDS ECOL EVOL, V23, P268, DOI 10.1016/j.tree.2008.02.004
Langridge G, 2009, NAT REV MICROBIOL, V7, P552, DOI 10.1038/nrmicro2188
Lee MH, 2006, APPL ENVIRON MICROB, V72, P7406, DOI 10.1128/AEM.01157-06
Li WZ, 2006, BIOINFORMATICS, V22, P1658, DOI 10.1093/bioinformatics/btl158
Liu H, 2009, P NATL ACAD SCI USA, V106, P12803, DOI 10.1073/pnas.0905841106
Luo HW, 2009, P NATL ACAD SCI USA, V106, P21219, DOI 10.1073/pnas.0907586106
Marco D, 2008, THEOR BIOSCI, V127, P241, DOI 10.1007/s12064-008-0028-x
Martín HG, 2006, NAT BIOTECHNOL, V24, P1263, DOI 10.1038/nbt1247
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martin-Cuadrado AB, 2009, APPL ENVIRON MICROB, V75, P7436, DOI 10.1128/AEM.01283-09
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P1340, DOI 10.1111/j.1462-2920.2009.01860.x
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
Massana R, 2008, CURR OPIN MICROBIOL, V11, P213, DOI 10.1016/j.mib.2008.04.004
Medini D, 2005, CURR OPIN GENET DEV, V15, P589, DOI 10.1016/j.gde.2005.09.006
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Mitra S, 2010, ISME J, V4, P1236, DOI 10.1038/ismej.2010.51
Morgan JL, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010209
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Nesbo CL, 2005, ENVIRON MICROBIOL, V7, P2011, DOI 10.1111/j.1462-2920.2005.00918.x
Neufeld JD, 2008, ENVIRON MICROBIOL, V10, P1526, DOI 10.1111/j.1462-2920.2008.01568.x
Not F, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007143
Palenik B, 2009, ENVIRON MICROBIOL, V11, P349, DOI 10.1111/j.1462-2920.2008.01772.x
Palenik B, 2007, P NATL ACAD SCI USA, V104, P7705, DOI 10.1073/pnas.0611046104
Parker MS, 2008, ANNU REV GENET, V42, P619, DOI 10.1146/annurev.genet.42.110807.091417
Parks DH, 2010, BIOINFORMATICS, V26, P715, DOI 10.1093/bioinformatics/btq041
Pedrós-Alió C, 2006, INT MICROBIOL, V9, P191
Piganeau G, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-1-r5
Pond SK, 2009, GENOME RES, V19, P2144, DOI 10.1101/gr.094508.109
Pop M, 2009, BRIEF BIOINFORM, V10, P354, DOI 10.1093/bib/bbp026
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Prosser JI, 2008, ENVIRON MICROBIOL, V10, P2931, DOI 10.1111/j.1462-2920.2008.01775.x
Quinn JP, 2007, ENVIRON MICROBIOL, V9, P2392, DOI 10.1111/j.1462-2920.2007.01397.x
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Riesenfeld CS, 2004, ANNU REV GENET, V38, P525, DOI 10.1146/annurev.genet.38.072902.091216
Rodriguez-Brito B, 2006, BMC BIOINFORMATICS, V7, DOI 10.1186/1471-2105-7-162
Rodríguez-Valera F, 2004, FEMS MICROBIOL LETT, V231, P153, DOI 10.1016/S0378-1097(04)00006-0
Rondon MR, 1999, P NATL ACAD SCI USA, V96, P6451, DOI 10.1073/pnas.96.11.6451
Rondon MR, 2000, APPL ENVIRON MICROB, V66, P2541, DOI 10.1128/AEM.66.6.2541-2547.2000
Rusch DB, 2010, P NATL ACAD SCI USA, V107, P16184, DOI 10.1073/pnas.1009513107
SANDERS RW, 1992, MAR ECOL PROG SER, V86, P1, DOI 10.3354/meps086001
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Schirmer A, 2005, APPL ENVIRON MICROB, V71, P4840, DOI 10.1128/AEM.71.8.4840-4849.2005
Schleper C, 2005, NAT REV MICROBIOL, V3, P479, DOI 10.1038/nrmicro1159
Schloss PD, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-8-229
Schloss PD, 2003, CURR OPIN BIOTECH, V14, P303, DOI 10.1016/S0958-1669(03)00067-3
Schmeisser C, 2007, APPL MICROBIOL BIOT, V75, P955, DOI 10.1007/s00253-007-0945-5
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
Sherr EB, 2002, ANTON LEEUW INT J G, V81, P293, DOI 10.1023/A:1020591307260
Shi XL, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007657
Singh Jagtar, 2009, Biotechnology Journal, V4, P480, DOI 10.1002/biot.200800201
Sleator RD, 2008, LETT APPL MICROBIOL, V47, P361, DOI 10.1111/j.1472-765X.2008.02444.x
Steele HL, 2005, FEMS MICROBIOL LETT, V247, P105, DOI 10.1016/j.femsle.2005.05.011
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
Stokes HW, 2006, J BACTERIOL, V188, P5722, DOI 10.1128/JB.01950-05
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Temperton B, 2009, ISME J, V3, P792, DOI 10.1038/ismej.2009.32
Thurber RV, 2009, ENVIRON MICROBIOL, V11, P2148, DOI 10.1111/j.1462-2920.2009.01935.x
Todd JD, 2009, ENVIRON MICROBIOL, V11, P1376, DOI 10.1111/j.1462-2920.2009.01864.x
Treusch AH, 2005, ENVIRON MICROBIOL, V7, P1985, DOI 10.1111/j.1462-2920.2005.00906.x
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Tripp HJ, 2010, NATURE, V464, P90, DOI 10.1038/nature08786
Van Dolah FM, 2009, HARMFUL ALGAE, V8, P562, DOI 10.1016/j.hal.2008.11.004
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Ward N, 2006, FEMS MICROBIOL ECOL, V55, P331, DOI 10.1111/j.1574-6941.2005.00055.x
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Willner D, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007370
Willner D, 2009, ENVIRON MICROBIOL, V11, P1752, DOI 10.1111/j.1462-2920.2009.01901.x
Woebken D, 2007, ISME J, V1, P419, DOI 10.1038/ismej.2007.63
Wooley JC, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000667
Woyke T, 2006, NATURE, V443, P950, DOI 10.1038/nature05192
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Wu DY, 2009, NATURE, V462, P1056, DOI 10.1038/nature08656
Xu JP, 2006, MOL ECOL, V15, P1713, DOI 10.1111/j.1365-294X.2006.02882.x
Yutin N, 2005, ENVIRON MICROBIOL, V7, P2027, DOI 10.1111/j.1462-2920.2005.00843.x
Yutin N, 2007, ENVIRON MICROBIOL, V9, P1464, DOI 10.1111/j.1462-2920.2007.01265.x
Zubkov MV, 2008, NATURE, V455, P224, DOI 10.1038/nature07236
NR 133
TC 242
Z9 295
PY 2011
VL 3
BP 347
EP 371
DI 10.1146/annurev-marine-120709-142811
UT WOS:000286638700013
DA 2025-07-30
ER
PT J
AU Hiraoka, S
Sumida, T
Hirai, M
Toyoda, A
Kawagucci, S
Yokokawa, T
Nunoura, T
AF Hiraoka, Satoshi
Sumida, Tomomi
Hirai, Miho
Toyoda, Atsushi
Kawagucci, Shinsuke
Yokokawa, Taichi
Nunoura, Takuro
TI Diverse DNA modification in marine prokaryotic and viral communities
SO NUCLEIC ACIDS RESEARCH
DT Article
AB DNA chemical modifications, including methylation, are widespread and play important roles in prokaryotes and viruses. However, current knowledge of these modification systems is severely biased towards a limited number of culturable prokaryotes, despite the fact that a vast majority of microorganisms have not yet been cultured. Here, using single-molecule real-time sequencing, we conducted culture-independent 'metaepigenomic' analyses (an integrated analysis of metagenomics and epigenomics) of marine microbial communities. A total of 233 and 163 metagenomic-assembled genomes (MAGs) were constructed from diverse prokaryotes and viruses, respectively, and 220 modified motifs and 276 DNA methyltransferases (MTases) were identified. Most of the MTase genes were not genetically linked with the endonuclease genes predicted to be involved in defense mechanisms against extracellular DNA. The MTase-motif correspondence found in the MAGs revealed 10 novel pairs, 5 of which showed novel specificities and experimentally confirmed the catalytic specificities of the MTases. We revealed novel alternative specificities in MTases that are highly conserved in Alphaproteobacteria, which may enhance our understanding of the co-evolutionary history of the methylation systems and the genomes. Our findings highlight diverse unexplored DNA modifications that potentially affect the ecology and evolution of prokaryotes and viruses in nature.
C1 [Hiraoka, Satoshi; Sumida, Tomomi; Nunoura, Takuro] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Res Inst Marine Resources Utilizat, Res Ctr Biosci & Nanosci CeBN, Yokosuka, Kanagawa 2370061, Japan.
[Hirai, Miho; Kawagucci, Shinsuke; Yokokawa, Taichi] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Inst Extra Cutting Edge Sci & Technol Avant Garde, Yokosuka, Kanagawa 2370061, Japan.
[Toyoda, Atsushi] Natl Inst Genet, Adv Genom Ctr, Mishima, Shizuoka 4118540, Japan.
[Kawagucci, Shinsuke] Japan Agcy Marine Earth Sci & Technol JAMSTEC, Res Inst Global Change RIGC, Marine Biodivers & Environm Assessment Res Ctr Bi, Yokosuka, Kanagawa 2370061, Japan.
RP Hiraoka, S (corresponding author), Japan Agcy Marine Earth Sci & Technol JAMSTEC, Res Inst Marine Resources Utilizat, Res Ctr Biosci & Nanosci CeBN, Yokosuka, Kanagawa 2370061, Japan.
EM hiraokas@jamstec.go.jp
CR Agarwala R, 2018, NUCLEIC ACIDS RES, V46, pD8, DOI [10.1093/nar/gkx1095, 10.1093/nar/gks1189, 10.1093/nar/gkq1172]
Ahlgren NA, 2017, ENVIRON MICROBIOL, V19, P2434, DOI 10.1111/1462-2920.13768
Ashcroft M.M., 2020, STRAIN LINEAGE LEVEL, DOI 10.1101
Asnicar F, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16366-7
Beaulaurier J, 2018, NAT BIOTECHNOL, V36, P61, DOI 10.1038/nbt.4037
Biswas A, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2627-0
Blow MJ, 2016, PLOS GENET, V12, DOI 10.1371/journal.pgen.1005854
Borgaro JG, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0063866
Bowers RM, 2017, NAT BIOTECHNOL, V35, P725, DOI 10.1038/nbt.3893
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Camacho C, 2009, BMC BIOINFORMATICS, V10, DOI 10.1186/1471-2105-10-421
Cao B, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4951
Casadesús J, 2016, ADV EXP MED BIOL, V945, P35, DOI 10.1007/978-3-319-43624-1_3
Cohen HM, 2002, NUCLEIC ACIDS RES, V30, P3880, DOI 10.1093/nar/gkf507
Coy SR, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.00887
Davis-Richardson AG, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00518
delGiorgio P, 1996, LIMNOL OCEANOGR, V41, P783, DOI 10.4319/lo.1996.41.4.0783
Ershova AS, 2015, BIOCHEMISTRY-MOSCOW+, V80, P1373, DOI 10.1134/S0006297915100193
Fichot EB, 2013, MICROBIOME, V1, DOI 10.1186/2049-2618-1-10
Fiddes IT, 2018, GENOME RES, V28, P1029, DOI 10.1101/gr.233460.117
Finn RD, 2016, NUCLEIC ACIDS RES, V44, pD279, DOI 10.1093/nar/gkv1344
Forde BM, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45760-5
Fullmer MS, 2019, GENES-BASEL, V10, DOI 10.3390/genes10030233
Furuta Y, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004272
Furuta Yoshikazu, 2012, Mob Genet Elements, V2, P292
Gärtner K, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01233
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goldfarb T, 2015, EMBO J, V34, P169, DOI 10.15252/embj.201489455
Gonzalez D, 2014, NUCLEIC ACIDS RES, V42, P3720, DOI 10.1093/nar/gkt1352
Guo JR, 2021, MICROBIOME, V9, DOI 10.1186/s40168-020-00990-y
Häder DP, 2005, MUTAT RES-FUND MOL M, V571, P221, DOI 10.1016/j.mrfmmm.2004.11.017
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Harris AJ, 2020, MOL PHYLOGENET EVOL, V149, DOI 10.1016/j.ympev.2020.106837
Hirai M, 2017, MICROBES ENVIRON, V32, P336, DOI 10.1264/jsme2.ME17132
Hiraoka S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08103-y
Horton JR, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12498-7
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Jeudy S, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16414-2
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Kesik-Szeloch A, 2013, VIROL J, V10, DOI 10.1186/1743-422X-10-100
Kojima KK, 2016, MOL BIOL EVOL, V33, P2848, DOI 10.1093/molbev/msw162
Kopylova E, 2012, BIOINFORMATICS, V28, P3211, DOI 10.1093/bioinformatics/bts611
Kozdon JB, 2013, P NATL ACAD SCI USA, V110, pE4658, DOI 10.1073/pnas.1319315110
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
Kundu R, 2019, "HyPo: Super Fast and Accurate Polisher for Long Read Genome Assemblies.", V1, pe2506, DOI [10.1101/2019.12.19.882506, DOI 10.1101/2019.12.19.882506]
Lagesen K, 2007, NUCLEIC ACIDS RES, V35, P3100, DOI 10.1093/nar/gkm160
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Li H, 2018, BIOINFORMATICS, V34, P3094, DOI 10.1093/bioinformatics/bty191
Lobocka MB, 2004, J BACTERIOL, V186, P7032, DOI 10.1128/JB.186.21.7032-7068.2004
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Mannweiler O, 2021, J BACTERIOL, V203, DOI 10.1128/JB.00683-20
McIntyre ABR, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08289-9
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Middelboe M, 2017, VIRUSES-BASEL, V9, DOI 10.3390/v9100302
Mistry J, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gkt263
Moharreri S, 2017, COMPUT CARDIOL CONF, V44, DOI 10.22489/CinC.2017.321-395
Moss EL, 2020, NAT BIOTECHNOL, V38, P701, DOI 10.1038/s41587-020-0422-6
Mouammine A, 2018, MOL MICROBIOL, V110, P1, DOI 10.1111/mmi.14079
Mruk I, 2014, NUCLEIC ACIDS RES, V42, P70, DOI 10.1093/nar/gkt711
Muñoz-Gómez SA, 2019, ELIFE, V8, DOI [10.7554/elife.42535, 10.7554/eLife.42535]
Murphy J, 2013, APPL ENVIRON MICROB, V79, P7547, DOI 10.1128/AEM.02229-13
Murray IA, 2012, NUCLEIC ACIDS RES, V40, P11450, DOI 10.1093/nar/gks891
Nayfach S, 2021, NAT BIOTECHNOL, V39, P578, DOI 10.1038/s41587-020-00774-7
Ni P, 2019, BIOINFORMATICS, V35, P4586, DOI 10.1093/bioinformatics/btz276
Nishimura Y, 2017, BIOINFORMATICS, V33, P2379, DOI 10.1093/bioinformatics/btx157
Nye TM, 2019, PLOS PATHOG, V15, DOI 10.1371/journal.ppat.1007841
Ofir G, 2018, NAT MICROBIOL, V3, DOI 10.1038/s41564-017-0051-0
Oliveira PH, 2020, NAT MICROBIOL, V5, P166, DOI 10.1038/s41564-019-0613-4
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rambo IM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01291
Rhoads A, 2015, GENOM PROTEOM BIOINF, V13, P278, DOI 10.1016/j.gpb.2015.08.002
Roberts RJ, 2015, NUCLEIC ACIDS RES, V43, pD298, DOI 10.1093/nar/gku1046
Roberts RJ, 2003, NUCLEIC ACIDS RES, V31, P1805, DOI 10.1093/nar/gkg274
Rodriguez-R LM, 2018, MSYSTEMS, V3, DOI [10.1128/msystems.00039-18, 10.1128/mSystems.00039-18]
Ruan J, 2020, NAT METHODS, V17, P155, DOI 10.1038/s41592-019-0669-3
Sánchez-Romero MA, 2020, NAT REV MICROBIOL, V18, P7, DOI 10.1038/s41579-019-0286-2
Schbath S., 2011, ADV GENOMIC SEQUENCE, V7, P25
SCRABA DG, 1983, VIROLOGY, V124, P152, DOI 10.1016/0042-6822(83)90298-2
Segata N, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3304
Shen W, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163962
Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
Somerville V, 2019, BMC MICROBIOL, V19, DOI 10.1186/s12866-019-1500-0
Srikhanta YN, 2010, NAT REV MICROBIOL, V8, P196, DOI 10.1038/nrmicro2283
STERNBERG N, 1990, P NATL ACAD SCI USA, V87, P8070, DOI 10.1073/pnas.87.20.8070
Struck AW, 2012, CHEMBIOCHEM, V13, P2642, DOI 10.1002/cbic.201200556
Suzuki Y, 2019, MICROBIOME, V7, DOI 10.1186/s40168-019-0737-z
Teira E, 2019, ENVIRON MICROBIOL, V21, P1482, DOI 10.1111/1462-2920.14581
Tourancheau A, 2021, NAT METHODS, V18, P491, DOI 10.1038/s41592-021-01109-3
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vandenbussche I, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00455-20
Vasu K, 2013, MICROBIOL MOL BIOL R, V77, P53, DOI 10.1128/MMBR.00044-12
Walworth NG, 2017, ENVIRON MICROBIOL, V19, P4700, DOI 10.1111/1462-2920.13934
Wang LR, 2019, FEMS MICROBIOL REV, V43, P109, DOI 10.1093/femsre/fuy036
Weigele P, 2016, CHEM REV, V116, P12655, DOI 10.1021/acs.chemrev.6b00114
Wilbanks E.G., METAGENOMIC METHYLAT, V2021, DOI [10.1101/2021.01.18.427177, DOI 10.1101/2021.01.18.427177]
Wilson WH, 2009, CURR TOP MICROBIOL, V328, P1
Wright R, 1997, J BACTERIOL, V179, P5869, DOI 10.1128/jb.179.18.5869-5877.1997
Xiong L, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09390-9
Young LC, 2003, J INVEST DERMATOL, V121, P435, DOI 10.1046/j.1523-1747.2003.12450.x
Yuen ZWS, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23778-6
Zhou XF, 2019, P NATL ACAD SCI USA, V116, P15661, DOI 10.1073/pnas.1906119116
NR 104
TC 10
Z9 11
PD FEB 22
PY 2022
VL 50
IS 3
BP 1531
EP 1550
DI 10.1093/nar/gkab1292
UT WOS:000767881000027
DA 2025-07-30
ER
PT J
AU Coutinho, FH
Gregoracci, GB
Walter, JM
Thompson, CC
Thompson, FL
AF Coutinho, Felipe Hernandes
Gregoracci, Gustavo Bueno
Walter, Juline Marta
Thompson, Cristiane Carneiro
Thompson, Fabiano L.
TI Metagenomics Sheds Light on the Ecology of Marine Microbes and Their
Viruses
SO TRENDS IN MICROBIOLOGY
DT Review
AB Advances brought about by omics-based approaches have revolutionized our understanding of the diversity and ecological processes involving marine archaea, bacteria, and their viruses. This broad review discusses recent examples of how genomics, metagenomics, and ecogenomics have been applied to reveal the ecology of these biological entities. Three major topics are covered in this revision: (i) the novel roles of microorganisms in ecosystem processes; (ii) virus-host associations; and (iii) ecological associations of microeukaryotes and other microbes. We also briefly comment on the discovery of novel taxa from marine ecosystems; development of a robust taxonomic framework for prokaryotes; breakthroughs on the diversity and ecology of cyanobacteria; and advances on ecological modelling. We conclude by discussing limitations of the field and suggesting directions for future research.
C1 [Coutinho, Felipe Hernandes; Walter, Juline Marta; Thompson, Cristiane Carneiro; Thompson, Fabiano L.] Univ Fed Rio de Janeiro UFRJ, Inst Biol, Lab Microbiol, Rio De Janeiro, Brazil.
[Coutinho, Felipe Hernandes] UMH, Dept Prod Vegetal & Microbiol, Evolutionary Genom Grp, Alicante, Spain.
[Gregoracci, Gustavo Bueno] Fed Univ Sao Paulo Unifesp, Dept Marine Sci, Santos, Brazil.
[Thompson, Fabiano L.] Fed Univ Fed Rio de Janeiro UFRJ, SAGE COPPE, Ctr Technol CT2, Rio De Janeiro, Brazil.
RP Thompson, FL (corresponding author), Univ Fed Rio de Janeiro UFRJ, Inst Biol, Lab Microbiol, Rio De Janeiro, Brazil.; Thompson, FL (corresponding author), Fed Univ Fed Rio de Janeiro UFRJ, SAGE COPPE, Ctr Technol CT2, Rio De Janeiro, Brazil.
EM fabiano.thompson@biologia.ufrj.br
CR Abida H, 2013, MAR DRUGS, V11, P4594, DOI 10.3390/md11114594
Ainsworth TD, 2017, TRENDS MICROBIOL, V25, P980, DOI 10.1016/j.tim.2017.06.007
Amaral GRS, 2014, INT J SYST EVOL MICR, V64, P357, DOI 10.1099/ijs.0.057927-0
Anantharaman K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13219
Anantharaman K, 2013, P NATL ACAD SCI USA, V110, P330, DOI 10.1073/pnas.1215340110
Bourne DG, 2016, ANNU REV MICROBIOL, V70, P317, DOI 10.1146/annurev-micro-102215-095440
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brum JR, 2016, P NATL ACAD SCI USA, V113, P2436, DOI 10.1073/pnas.1525139113
Cavalcanti GS, 2014, ISME J, V8, P52, DOI 10.1038/ismej.2013.133
Coelho FJRC, 2013, ECOL EVOL, V3, P1808, DOI 10.1002/ece3.565
Cordero OX, 2014, NAT REV MICROBIOL, V12, P263, DOI 10.1038/nrmicro3218
Coutinho F, 2016, PEERJ, V4, DOI 10.7717/peerj.1522
Coutinho FH, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15955
Coyotzi S, 2016, CURR OPIN BIOTECH, V41, P1, DOI 10.1016/j.copbio.2016.02.017
Daims H, 2015, NATURE, V528, P504, DOI 10.1038/nature16461
Danovaro R, 2008, NATURE, V454, P1084, DOI 10.1038/nature07268
Danovaro R, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1600492
Danovaro R, 2011, FEMS MICROBIOL REV, V35, P993, DOI 10.1111/j.1574-6976.2010.00258.x
Dell'Anno A, 2015, P NATL ACAD SCI USA, V112, pE2014, DOI 10.1073/pnas.1422234112
Dudek NK, 2017, CURR BIOL, V27, P3752, DOI 10.1016/j.cub.2017.10.040
Edwards RA, 2016, FEMS MICROBIOL REV, V40, P258, DOI 10.1093/femsre/fuv048
Engelen S, 2015, SCIENCE, V348
Erez Z, 2017, NATURE, V541, P488, DOI 10.1038/nature21049
Evans PN, 2015, SCIENCE, V350, P434, DOI 10.1126/science.aac7745
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Farrant GK, 2016, P NATL ACAD SCI USA, V113, pE3365, DOI 10.1073/pnas.1524865113
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fuhrman JA, 2003, BIOL BULL-US, V204, P192, DOI 10.2307/1543557
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Gandola E, 2016, J MICROBIOL METH, V124, P48, DOI 10.1016/j.mimet.2016.03.007
Garcia GD, 2016, MOL ECOL, V25, P4632, DOI 10.1111/mec.13775
Garza DR, 2018, NAT MICROBIOL, V3, P456, DOI 10.1038/s41564-018-0124-8
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Goldsmith DB, 2015, PEERJ, V3, DOI 10.7717/peerj.997
Gornik SG, 2012, CURR BIOL, V22, P2303, DOI 10.1016/j.cub.2012.10.036
Gregoracci G.B., 2015, PLOS ONE, V10, P1
Grob C, 2015, ENVIRON MICROBIOL, V17, P4007, DOI 10.1111/1462-2920.12935
Hehemann JH, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12860
Hurwitz BL, 2015, ISME J, V9, P472, DOI 10.1038/ismej.2014.143
Hurwitz BL, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r123
Ignacio-Espinoza J Cesar, 2013, Curr Opin Virol, V3, P566, DOI 10.1016/j.coviro.2013.07.004
Jeong HJ, 2012, P NATL ACAD SCI USA, V109, P12604, DOI 10.1073/pnas.1204302109
Jiang SC, 1996, MAR ECOL PROG SER, V142, P27, DOI 10.3354/meps142027
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Karlin S, 1998, CURR OPIN MICROBIOL, V1, P598, DOI 10.1016/S1369-5274(98)80095-7
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Labonté JM, 2015, ISME J, V9, P2386, DOI 10.1038/ismej.2015.48
Lara E, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602565
Larsen P, 2012, J BIOTECHNOL, V160, P17, DOI 10.1016/j.jbiotec.2012.03.009
Larsen PE, 2012, NAT METHODS, V9, P621, DOI [10.1038/NMETH.1975, 10.1038/nmeth.1975]
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Logares R, 2012, ISME J, V6, P1823, DOI 10.1038/ismej.2012.36
Long A, 2008, ISME J, V2, P132, DOI 10.1038/ismej.2007.102
Luo E, 2017, MBIO, V8, DOI 10.1128/mBio.01903-17
Lynch SV, 2016, NEW ENGL J MED, V375, P2369, DOI 10.1056/NEJMra1600266
Madsen EL, 2011, CURR OPIN BIOTECH, V22, P456, DOI 10.1016/j.copbio.2011.01.008
Marbouty M, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602105
Martinez-Hernandez F, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15892
Massana R, 2014, ISME J, V8, P854, DOI 10.1038/ismej.2013.204
McDaniel L, 2005, APPL ENVIRON MICROB, V71, P842, DOI 10.1128/AEM.71.2.842-850.2005
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Monier A, 2017, P NATL ACAD SCI USA, V114, pE7489, DOI 10.1073/pnas.1708097114
Oliver MJ, 2007, GENOME RES, V17, P594, DOI 10.1101/gr.6096207
Paez-Espino D, 2016, NATURE, V536, P425, DOI 10.1038/nature19094
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Puxty RJ, 2018, ISME J, V12, P1273, DOI 10.1038/s41396-017-0043-3
Puxty RJ, 2016, CURR BIOL, V26, P1585, DOI 10.1016/j.cub.2016.04.036
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rosenberg E, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0457-9
Rosenwasser S, 2016, TRENDS MICROBIOL, V24, P821, DOI 10.1016/j.tim.2016.06.006
Roux S., 2014, ELIFE, V2014, P1, DOI [10.7554/eLife.03125.001, DOI 10.7554/ELIFE.03125.001]
Roux S, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01086-2
Roux S, 2016, PEERJ, V4, DOI 10.7717/peerj.2777
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shapiro BJ, 2014, TRENDS MICROBIOL, V22, P235, DOI 10.1016/j.tim.2014.02.006
Shih PM, 2013, P NATL ACAD SCI USA, V110, P1053, DOI 10.1073/pnas.1217107110
Shin H, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-23634-6
Shoguchi E, 2013, CURR BIOL, V23, P1399, DOI 10.1016/j.cub.2013.05.062
Silveira CB, 2017, FEMS MICROBIOL REV, V41, P575, DOI 10.1093/femsre/fux018
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Thingstad T. F., 2016, NAT NEWS VIEWS, V531, P5
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thomas T, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11870
Thompson CC, 2015, ARCH MICROBIOL, V197, P359, DOI 10.1007/s00203-014-1071-2
Thompson CC, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-913
Thompson CC, 2013, MICROB ECOL, V66, P752, DOI 10.1007/s00248-013-0270-8
Thompson CC, 2009, BMC EVOL BIOL, V9, DOI 10.1186/1471-2148-9-258
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Thurber RV, 2017, NAT REV MICROBIOL, V15, DOI 10.1038/nrmicro.2016.176
Tromas N, 2017, ISME J, V11, P1746, DOI 10.1038/ismej.2017.58
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vandeputte D, 2017, NATURE, V551, P507, DOI 10.1038/nature24460
Vezzulli L, 2016, P NATL ACAD SCI USA, V113, pE5062, DOI 10.1073/pnas.1609157113
Walter JM, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02132
Walter JM, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0161168
Weinbauer MG, 1999, AQUAT MICROB ECOL, V18, P217, DOI 10.3354/ame018217
Weinbauer MG, 2003, LIMNOL OCEANOGR, V48, P1457, DOI 10.4319/lo.2003.48.4.1457
Weisse T, 2016, EUR J PROTISTOL, V55, P50, DOI 10.1016/j.ejop.2016.03.003
Wigington CH, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2015.24, 10.1038/NMICROBIOL.2015.24]
Yawata Y, 2014, P NATL ACAD SCI USA, V111, P5622, DOI 10.1073/pnas.1318943111
Zaremba-Niedzwiedzka K, 2017, NATURE, V541, P353, DOI 10.1038/nature21031
Ziv C, 2016, P NATL ACAD SCI USA, V113, pE1907, DOI 10.1073/pnas.1523168113
NR 106
TC 48
Z9 59
PD NOV
PY 2018
VL 26
IS 11
BP 955
EP 965
DI 10.1016/j.tim.2018.05.015
UT WOS:000447272100009
DA 2025-07-30
ER
PT J
AU Wemheuer, B
Güllert, S
Billerbeck, S
Giebel, HA
Voget, S
Simon, M
Daniel, R
AF Wemheuer, Bernd
Guellert, Simon
Billerbeck, Sara
Giebel, Helge-Ansgar
Voget, Sonja
Simon, Meinhard
Daniel, Rolf
TI Impact of a phytoplankton bloom on the diversity of the active bacterial
community in the southern North Sea as revealed by metatranscriptomic
approaches
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Despite their importance for ecosystem functioning, little is known about the composition of active marine bacterioplankton communities. Hence, this study was focused on assessing the diversity of these communities in the southern North Sea and examining the impact of a phytoplankton spring bloom on the ambient bacterioplankton community. Community composition in and outside the bloom was assessed in 14 samples by pyrosequencing-based analysis of 16S rRNA gene amplicons generated from environmental RNA. The data set comprised of 211769 16S rRNA gene sequences. Proteobacteria were the predominant phylogenetic group with Alphaproteobacteria and Gammaproteobacteria as the most abundant classes. Actinobacteria and Bacteroidetes were identified in minor abundances. Active bacterial communities were dominated by few lineages such as the Roseobacter RCA cluster and the SAR92 clade. Community structures of three selected samples were also assessed by direct sequencing of cDNA generated from rRNA-depleted environmental RNA. Generated data sets comprised of 988202 sequences. Taxonomic assignment of the reads confirmed the predominance of Proteobacteria. The examined phytoplankton spring bloom affected the bacterioplankton community structures significantly. Bacterial richness was reduced in the bloom area, and the abundance of certain bacterial groups was affected by bloom presence. The SAR92 clade and the Roseobacter RCA cluster were significantly more abundant and active in the bloom. Functions affected by the bloom include photosynthesis, protein metabolism, and DNA metabolism.
C1 [Wemheuer, Bernd; Guellert, Simon; Voget, Sonja; Daniel, Rolf] Univ Gottingen, Inst Microbiol & Genet, Dept Genom & Appl Microbiol, D-37077 Gottingen, Germany.
[Wemheuer, Bernd; Guellert, Simon; Voget, Sonja; Daniel, Rolf] Univ Gottingen, Inst Microbiol & Genet, Gottingen Genom Lab, D-37077 Gottingen, Germany.
[Billerbeck, Sara; Giebel, Helge-Ansgar; Simon, Meinhard] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm ICBM, D-26111 Oldenburg, Germany.
RP Daniel, R (corresponding author), Univ Gottingen, Inst Microbiol & Genet, Dept Genom & Appl Microbiol, Grisebachstr 8, D-37077 Gottingen, Germany.
EM rdaniel@gwdg.de
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
[Anonymous], BIOL GEWASSERUNTERSU
[Anonymous], DIRICHLETREG
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
Giebel H.-A., 2013, International journal of systematic and evolutionary microbiology
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Gifford SM, 2011, ISME J, V5, P461, DOI 10.1038/ismej.2010.141
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, NATURE, V437, P343, DOI 10.1038/nature04158
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Hahnke S, 2013, SYST APPL MICROBIOL, V36, P39, DOI 10.1016/j.syapm.2012.09.004
Huggett MJ, 2012, J BACTERIOL, V194, P2393, DOI 10.1128/JB.00171-12
Jamieson RE, 2012, FEMS MICROBIOL ECOL, V80, P452, DOI 10.1111/j.1574-6941.2012.01313.x
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Koroleff F, 1983, METHODS SEAWATER ANA, V2, P125
Lesniewski RA, 2012, ISME J, V6, P2257, DOI 10.1038/ismej.2012.63
Lunau M, 2006, LIMNOL OCEANOGR, V51, P847, DOI 10.4319/lo.2006.51.2.0847
Luo HW, 2012, ENVIRON MICROBIOL, V14, P41, DOI 10.1111/j.1462-2920.2011.02528.x
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
McQuatters-Gollop A, 2007, LIMNOL OCEANOGR, V52, P635, DOI 10.4319/lo.2007.52.2.0635
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nacke H, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017000
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
R Development Core Team, 2021, R: A Language and Environment for Statistical Computing
Riemann L, 2008, APPL ENVIRON MICROB, V74, P503, DOI 10.1128/AEM.01983-07
Rink B, 2011, AQUAT MICROB ECOL, V63, P207, DOI 10.3354/ame01493
Schlitzer R., 2013, OCEAN DATA VIEW
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
Sintes E, 2013, FEMS MICROBIOL ECOL, V83, P413, DOI 10.1111/1574-6941.12003
Sperling M, 2012, AQUAT MICROB ECOL, V67, P25, DOI 10.3354/ame01580
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Weinbauer MG, 2002, APPL ENVIRON MICROB, V68, P1082, DOI 10.1128/AEM.68.3.1082-1087.2002
Wemheuer B, 2012, ARCHAEA, V2012, DOI 10.1155/2012/695826
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
Will C, 2010, APPL ENVIRON MICROB, V76, P6751, DOI 10.1128/AEM.01063-10
Wiltshire KH, 2010, ESTUAR COAST, V33, P295, DOI 10.1007/s12237-009-9228-y
NR 53
TC 90
Z9 97
PD FEB
PY 2014
VL 87
IS 2
BP 378
EP 389
DI 10.1111/1574-6941.12230
UT WOS:000331262700007
DA 2025-07-30
ER
PT J
AU DeLong, EE
AF DeLong, EE
TI Microbial community genomics in the ocean
SO NATURE REVIEWS MICROBIOLOGY
DT Review
AB Marine microbial communities were among the first microbial communities to be studied using cultivation-independent genomic approaches. Ocean-going genomic studies are now providing a more comprehensive description of the organisms and processes that shape microbial community structure, function and dynamics in the sea. Through the lens of microbial community genomics, a more comprehensive view of uncultivated microbial species, gene and biochemical pathway distributions, and naturally occurring genomic variability is being brought into sharper focus. Besides providing new perspectives on oceanic microbial communities, these new studies are now poised to reveal the fundamental principles that drive microbial ecological and evolutionary processes.
C1 MIT, Div Biol Engn, Cambridge, MA 02139 USA.
MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
RP MIT, Div Biol Engn, Room 48-427,77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM delong@mit.edu
CR Acinas SG, 2004, J BACTERIOL, V186, P2629, DOI 10.1128/JB.186.9.2629-2635.2004
Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Armbrust EV, 2004, SCIENCE, V306, P79, DOI 10.1126/science.1101156
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2004, CURR OPIN BIOTECH, V15, P187, DOI 10.1016/j.copbio.2004.03.005
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2002, APPL ENVIRON MICROB, V68, P335, DOI 10.1128/AEM.68.1.335-345.2002
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
Bergo V, 2004, BIOCHEMISTRY-US, V43, P9075, DOI 10.1021/bi0361968
Bielawski JP, 2004, P NATL ACAD SCI USA, V101, P14824, DOI 10.1073/pnas.0403999101
Breitbart M, 2004, P ROY SOC B-BIOL SCI, V271, P565, DOI 10.1098/rspb.2003.2628
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Bult CJ, 1996, SCIENCE, V273, P1058, DOI 10.1126/science.273.5278.1058
Chen CY, 2003, GENOME RES, V13, P2577, DOI 10.1101/gr.1295503
Chinen A, 2000, GENE, V259, P109, DOI 10.1016/S0378-1119(00)00459-5
Cottrell MT, 1999, APPL ENVIRON MICROB, V65, P2553
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
DeLong E.F., 2004, INFEC DIS S
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
DeLong EF, 2002, ENVIRON MICROBIOL, V4, P9, DOI 10.1046/j.1462-2920.2002.t01-12-00257.x
DeLong EF, 2002, CURR OPIN MICROBIOL, V5, P520, DOI 10.1016/S1369-5274(02)00353-3
DeLong EF, 2001, CURR OPIN MICROBIOL, V4, P290, DOI 10.1016/S1369-5274(00)00205-8
Detter JC, 2002, GENOMICS, V80, P691, DOI 10.1006/geno.2002.7020
Dioumaev AK, 2003, BIOCHEMISTRY-US, V42, P6582, DOI 10.1021/bi034253r
Dioumaev AK, 2002, BIOCHEMISTRY-US, V41, P5348, DOI 10.1021/bi025563x
Doney SC, 2004, FRONT ECOL ENVIRON, V2, P457, DOI 10.1890/1540-9295(2004)002[0457:FGTETO]2.0.CO;2
Dufresne A, 2003, P NATL ACAD SCI USA, V100, P10020, DOI 10.1073/pnas.1733211100
Falkowski PG, 2004, SCIENCE, V304, P58, DOI 10.1126/science.1097146
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fitz-Gibbon ST, 2002, P NATL ACAD SCI USA, V99, P984, DOI 10.1073/pnas.241636498
FLEISCHMANN RD, 1995, SCIENCE, V269, P496, DOI 10.1126/science.7542800
Friedrich T, 2002, J MOL BIOL, V321, P821, DOI 10.1016/S0022-2836(02)00696-4
Galagan JE, 2002, GENOME RES, V12, P532, DOI 10.1101/gr.223902
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Glöckner FO, 2003, P NATL ACAD SCI USA, V100, P8298, DOI 10.1073/pnas.1431443100
Hallam SJ, 2004, SCIENCE, V305, P1457, DOI 10.1126/science.1100025
Hallam SJ, 2003, APPL ENVIRON MICROB, V69, P5483, DOI 10.1128/AEM.69.9.5483-5491.2003
Handelsman J, 2004, MICROBIOL MOL BIOL R, V68, P669, DOI 10.1128/MMBR.68.4.669-685.2004
Hendrickson EL, 2004, J BACTERIOL, V186, P6956, DOI 10.1128/JB.186.20.6956-6969.2004
Hinrichs KU, 1999, NATURE, V398, P802, DOI 10.1038/19751
Hou SB, 2004, P NATL ACAD SCI USA, V101, P18036, DOI 10.1073/pnas.0407638102
Hugenholtz P, 1998, J BACTERIOL, V180, P4765, DOI 10.1128/JB.180.18.4765-4774.1998
Imasheva ES, 2004, BIOCHEMISTRY-US, V43, P1648, DOI 10.1021/bi0355894
Kawarabayasi Y, 1999, DNA Res, V6, P83, DOI 10.1093/dnares/6.2.83
Kawarabayasi Y, 1998, DNA Res, V5, P55, DOI 10.1093/dnares/5.2.55
Kelemen BR, 2003, BBA-BIOMEMBRANES, V1618, P25, DOI 10.1016/j.bbamem.2003.10.002
KIM UJ, 1992, NUCLEIC ACIDS RES, V20, P1083, DOI 10.1093/nar/20.5.1083
Klenk HP, 1997, NATURE, V390, P364, DOI 10.1038/37052
Klepac-Ceraj V, 2004, ENVIRON MICROBIOL, V6, P686, DOI 10.1111/j.1462-2920.2004.00600.x
Kolber ZS, 2000, NATURE, V407, P177, DOI 10.1038/35025044
Kolber ZS, 2001, SCIENCE, V292, P2492, DOI 10.1126/science.1059707
Krebs Richard A, 2002, BMC Physiol, V2, P5, DOI 10.1186/1472-6793-2-5
Krüger M, 2003, NATURE, V426, P878, DOI 10.1038/nature02207
Lakatos M, 2004, J PHOTOCH PHOTOBIO B, V73, P177, DOI 10.1016/j.jphotobiol.2003.12.002
Lakatos M, 2003, BIOPHYS J, V84, P3252, DOI 10.1016/S0006-3495(03)70049-6
López-García P, 2004, ENVIRON MICROBIOL, V6, P19, DOI 10.1046/j.1462-2920.2003.00533.x
Makino K, 2003, LANCET, V361, P743, DOI 10.1016/S0140-6736(03)12659-1
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Man-Aharonovich D, 2004, PHOTOCH PHOTOBIO SCI, V3, P459, DOI 10.1039/b316071h
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Moreira D, 2004, ENVIRON MICROBIOL, V6, P959, DOI 10.1111/j.1462-2920.2004.00644.x
Nelson KE, 1999, NATURE, V399, P323, DOI 10.1038/20601
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Orphan VJ, 2002, P NATL ACAD SCI USA, V99, P7663, DOI 10.1073/pnas.072210299
Orphan VJ, 2001, SCIENCE, V293, P484, DOI 10.1126/science.1061338
Oz A, 2005, APPL ENVIRON MICROB, V71, P344, DOI 10.1128/AEM.71.1.344-353.2005
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Pradella S, 2004, APPL ENVIRON MICROB, V70, P3360, DOI 10.1128/AEM.70.6.3360-3369.2004
Preston CM, 1996, P NATL ACAD SCI USA, V93, P6241, DOI 10.1073/pnas.93.13.6241
Quaiser A, 2003, MOL MICROBIOL, V50, P563, DOI 10.1046/j.1365-2958.2003.03707.x
Quaiser A, 2002, ENVIRON MICROBIOL, V4, P603, DOI 10.1046/j.1462-2920.2002.00345.x
Rabus R, 2004, ENVIRON MICROBIOL, V6, P887, DOI 10.1111/j.1462-2920.2004.00665.x
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Riesenfeld CS, 2004, ANNU REV GENET, V38, P525, DOI 10.1146/annurev.genet.38.072902.091216
Robb FT, 2001, METHOD ENZYMOL, V330, P134
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rodríguez-Valera F, 2004, FEMS MICROBIOL LETT, V231, P153, DOI 10.1016/S0378-1097(04)00006-0
Rodríguez-Valera F, 2002, ENVIRON MICROBIOL, V4, P628, DOI 10.1046/j.1462-2920.2002.00354.x
Rondon MR, 2000, APPL ENVIRON MICROB, V66, P2541, DOI 10.1128/AEM.66.6.2541-2547.2000
Ruby EG, 2005, P NATL ACAD SCI USA, V102, P3004, DOI 10.1073/pnas.0409900102
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Schleper C, 1998, J BACTERIOL, V180, P5003, DOI 10.1128/JB.180.19.5003-5009.1998
Schleper C, 1997, J BACTERIOL, V179, P7803, DOI 10.1128/jb.179.24.7803-7811.1997
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
Shigenobu S, 2000, NATURE, V407, P81, DOI 10.1038/35024074
SHIZUYA H, 1992, P NATL ACAD SCI USA, V89, P8794, DOI 10.1073/pnas.89.18.8794
Slesarev AI, 2002, P NATL ACAD SCI USA, V99, P4644, DOI 10.1073/pnas.032671499
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
STEIN JL, 1990, P NATL ACAD SCI USA, V87, P8850, DOI 10.1073/pnas.87.22.8850
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Takami H, 2002, NUCLEIC ACIDS RES, V30, P3927, DOI 10.1093/nar/gkf526
Tamas I, 2002, SCIENCE, V296, P2376, DOI 10.1126/science.1071278
Teeling H, 2004, ENVIRON MICROBIOL, V6, P938, DOI 10.1111/j.1462-2920.2004.00624.x
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Treusch AH, 2004, ENVIRON MICROBIOL, V6, P970, DOI 10.1111/j.1462-2920.2004.00663.x
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Váró G, 2003, BIOPHYS J, V84, P1202, DOI 10.1016/S0006-3495(03)74934-0
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
Vezzi A, 2005, SCIENCE, V307, P1459, DOI 10.1126/science.1103341
Wang WW, 2003, J BIOL CHEM, V278, P33985, DOI 10.1074/jbc.M305716200
Waterston RH, 2003, P NATL ACAD SCI USA, V100, P3022, DOI 10.1073/pnas.0634129100
Waterston RH, 2002, P NATL ACAD SCI USA, V99, P3712, DOI 10.1073/pnas.042692499
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
NR 113
TC 232
Z9 279
PD JUN
PY 2005
VL 3
IS 6
BP 459
EP 469
DI 10.1038/nrmicro1158
UT WOS:000229435100011
DA 2025-07-30
ER
PT J
AU Hagström, Å
Pommier, T
Rohwer, F
Simu, K
Stolte, W
Svensson, D
Zweifel, UL
AF Hagström, Å
Pommier, T
Rohwer, F
Simu, K
Stolte, W
Svensson, D
Zweifel, UL
TI Use of 16S ribosomal DNA for delineation of marine bacterioplankton
species
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB All of the marine bacterioplankton-derived 16S ribosomal DNA sequences previously deposited in GenBank were reanalyzed to determine the number of bacterial species in the oceanic surface waters. These sequences have been entered into the database since 1990. The rate of new additions reached a peak in 1999 and subsequently leveled off, suggesting that much of the marine microbial species richness has been sampled. When the GenBank sequences were dereplicated by using 97% similarity as a cutoff, 1,117 unique ribotypes were found. Of the unique sequences, 609 came from uncultured environmental clones and 508 came from cultured bacteria. We conclude that the apparent bacterioplankton species richness is relatively low.
C1 Kalmar Univ, S-39182 Kalmar, Sweden.
San Diego State Univ, Dept Biol, San Diego, CA 92182 USA.
EM ake.hagstrom@hik.se
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
AMANN RI, 1992, SYST APPL MICROBIOL, V15, P23, DOI 10.1016/S0723-2020(11)80133-5
Benson DA, 2000, NUCLEIC ACIDS RES, V28, P15, DOI 10.1093/nar/28.1.15
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
DEVEREUX R, 1990, J BACTERIOL, V172, P3609, DOI 10.1128/jb.172.7.3609-3619.1990
DOBSON SJ, 1993, INT J SYST BACTERIOL, V43, P665, DOI 10.1099/00207713-43-4-665
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
FENCHEL T, 1993, OIKOS, V68, P375, DOI 10.2307/3544855
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Finlay BJ, 1998, PROTIST, V149, P29, DOI 10.1016/S1434-4610(98)70007-0
FUHRMAN J, 1992, ENVIR SCI R, V43, P361
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Hagström Å, 2000, AQUAT MICROB ECOL, V21, P231, DOI 10.3354/ame021231
Madigan M., 2000, BIOL MICROORGANISMS
MAY RM, 1988, SCIENCE, V241, P1441, DOI 10.1126/science.241.4872.1441
Moeseneder MM, 1999, APPL ENVIRON MICROB, V65, P3518
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Nubel U, 1996, J BACTERIOL, V178, P5636
Seguritan V, 2001, BMC BIOINFORMATICS, V2, DOI 10.1186/1471-2105-2-9
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
VandePeer Y, 1996, NUCLEIC ACIDS RES, V24, P3381, DOI 10.1093/nar/24.17.3381
von Wintzingerode F, 1997, FEMS MICROBIOL REV, V21, P213
WARD DM, 1990, NATURE, V345, P63, DOI 10.1038/345063a0
WAYNE LG, 1987, INT J SYST BACTERIOL, V37, P463, DOI 10.1099/00207713-37-4-463
WIIK R, 1995, INT J SYST BACTERIOL, V45, P421, DOI 10.1099/00207713-45-3-421
Yap WH, 1999, J BACTERIOL, V181, P5201, DOI 10.1128/JB.181.17.5201-5209.1999
NR 30
TC 134
Z9 149
PD JUL
PY 2002
VL 68
IS 7
BP 3628
EP 3633
DI 10.1128/AEM.68.7.3628-3633.2002
UT WOS:000176631600060
DA 2025-07-30
ER
PT J
AU Crump, BC
Baross, JA
AF Crump, BC
Baross, JA
TI Archaeaplankton in the Columbia River, its estuary and the adjacent
coastal ocean, USA
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB PCR-amplified 16S rRNA genes from particle-attached and free-living Archaea in the Columbia River estuary, particle-attached,Archaea in the river, and Archaea in the adjacent coastal ocean were cloned, and 43 partial sequences were determined. There was a high diversity of Archaea in the estuary, especially among the particle-attached Archaea. with representatives from four major phylogenetic clusters. Eighteen of 21 estuarine clones were closely related to dunes From the river and the coastal ocean or to clusters of marine and soil clones identified in other studies. This contrasts with a similar study of the estuarine bacterial community that found 62% of bacterial 16S rRNA clones to be unique to the estuary. Archaea in the estuary were primarily allochthonous, and therefore, unlike the bacteria, probably do not form a native estuarine community. (C) 2000 Federation of European Microbiological Societies. Published by Elsevier Science B.V. All rights reserved.
C1 Univ Washington, Sch Oceanog, Seattle, WA 98195 USA.
RP Crump, BC (corresponding author), Marine Biol Lab, Ctr Ecosyst, 7 MBL St, Woods Hole, MA 02543 USA.
EM bcrump@mbl.edu
CR Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Barns SM, 1996, P NATL ACAD SCI USA, V93, P9188, DOI 10.1073/pnas.93.17.9188
Bintrim SB, 1997, P NATL ACAD SCI USA, V94, P277, DOI 10.1073/pnas.94.1.277
Buckley DH, 1998, APPL ENVIRON MICROB, V64, P4333
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Crump BC, 1998, AQUAT MICROB ECOL, V14, P7, DOI 10.3354/ame014007
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V62, P1171
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Huelsenbeck JP, 1997, ANNU REV ECOL SYST, V28, P437, DOI 10.1146/annurev.ecolsys.28.1.437
JURGENS GN, 1996, ARCHAEAL SEQUENCES I
KOPCZYNSKI ED, 1994, APPL ENVIRON MICROB, V60, P746, DOI 10.1128/AEM.60.2.746-748.1994
MacGregor BJ, 1997, APPL ENVIRON MICROB, V63, P1178, DOI 10.1128/AEM.63.3.1178-1181.1997
Maidak BL, 1997, NUCLEIC ACIDS RES, V25, P109, DOI 10.1093/nar/25.1.109
Massana R, 1998, LIMNOL OCEANOGR, V43, P607, DOI 10.4319/lo.1998.43.4.0607
McArthur AG, 1999, MOL PHYLOGENET EVOL, V13, P255, DOI 10.1006/mpev.1999.0645
McInerney JO, 1997, P ROY SOC B-BIOL SCI, V264, P1663, DOI 10.1098/rspb.1997.0231
Munson MA, 1997, APPL ENVIRON MICROB, V63, P4729, DOI 10.1128/AEM.63.12.4729-4733.1997
PRAHL FG, 1994, CHANGES IN FLUXES IN ESTUARIES: IMPLICATIONS FROM SCIENCE TO MANAGEMENT, P451
SIMENSTAD CA, 1994, CHANGES IN FLUXES IN ESTUARIES: IMPLICATIONS FROM SCIENCE TO MANAGEMENT, P437
Sullivan Jack, 1997, Journal of Mammalian Evolution, V4, P77, DOI 10.1023/A:1027314112438
Swofford D., 1999, PAUP PHYLOGENETIC AN
Vetriani C, 1998, FEMS MICROBIOL LETT, V161, P83, DOI 10.1111/j.1574-6968.1998.tb12932.x
WINKER S, 1991, SYST APPL MICROBIOL, V14, P305, DOI 10.1016/S0723-2020(11)80303-6
Zhou JZ, 1996, APPL ENVIRON MICROB, V62, P316, DOI 10.1128/AEM.62.2.316-322.1996
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 28
TC 73
Z9 84
PD MAR
PY 2000
VL 31
IS 3
BP 231
EP 239
DI 10.1111/j.1574-6941.2000.tb00688.x
UT WOS:000086001100006
DA 2025-07-30
ER
PT J
AU Teeling, H
Fuchs, BM
Bennke, CM
Krüger, K
Chafee, M
Kappelmann, L
Reintjes, G
Waldmann, J
Quast, C
Glöckner, FO
Lucas, J
Wichels, A
Gerdts, G
Wiltshire, KH
Amann, RI
AF Teeling, Hanno
Fuchs, Bernhard M.
Bennke, Christin M.
Krueger, Karen
Chafee, Meghan
Kappelmann, Lennart
Reintjes, Greta
Waldmann, Jost
Quast, Christian
Gloeckner, Frank Oliver
Lucas, Judith
Wichels, Antje
Gerdts, Gunnar
Wiltshire, Karen H.
Amann, Rudolf I.
TI Recurring patterns in bacterioplankton dynamics during coastal spring
algae blooms
SO ELIFE
DT Article
AB A process of global importance in carbon cycling is the remineralization of algae biomass by heterotrophic bacteria, most notably during massive marine algae blooms. Such blooms can trigger secondary blooms of planktonic bacteria that consist of swift successions of distinct bacterial clades, most prominently members of the Flavobacteriia, Gammaproteobacteria and the alphaproteobacterial Roseobacter clade. We investigated such successions during spring phytoplankton blooms in the southern North Sea (German Bight) for four consecutive years. Dense sampling and high-resolution taxonomic analyses allowed the detection of recurring patterns down to the genus level. Metagenome analyses also revealed recurrent patterns at the functional level, in particular with respect to algal polysaccharide degradation genes. We, therefore, hypothesize that even though there is substantial inter-annual variation between spring phytoplankton blooms, the accompanying succession of bacterial clades is largely governed by deterministic principles such as substrate-induced forcing.
C1 [Teeling, Hanno; Fuchs, Bernhard M.; Bennke, Christin M.; Krueger, Karen; Chafee, Meghan; Kappelmann, Lennart; Reintjes, Greta; Waldmann, Jost; Quast, Christian; Gloeckner, Frank Oliver; Amann, Rudolf I.] Max Planck Inst Marine Microbiol, Bremen, Germany.
[Lucas, Judith; Wichels, Antje; Gerdts, Gunnar] Alfred Wegener Inst Polar & Marine Res, Biol Anstalt Helgoland, Helgoland, Germany.
[Wiltshire, Karen H.] Alfred Wegener Inst Polar & Marine Res, List Auf Sylt, Germany.
RP Teeling, H; Fuchs, BM; Amann, RI (corresponding author), Max Planck Inst Marine Microbiol, Bremen, Germany.
EM hteeling@mpi-bremen.de; bfuchs@mpi-bremen.de; ramann@mpi-bremen.de
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Armbrust EV, 2009, NATURE, V459, P185, DOI 10.1038/nature08057
Bateman A, 2002, NUCLEIC ACIDS RES, V30, P276, DOI [10.1093/nar/gkp985, 10.1093/nar/gkr1065, 10.1093/nar/gkh121]
BELL RT, 1984, APPL ENVIRON MICROB, V48, P1221, DOI 10.1128/AEM.48.6.1221-1230.1984
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Cantarel BL, 2009, NUCLEIC ACIDS RES, V37, pD233, DOI 10.1093/nar/gkn663
Caporaso JG, 2011, P NATL ACAD SCI USA, V108, P4516, DOI 10.1073/pnas.1000080107
Cuskin F, 2015, NATURE, V517, P165, DOI 10.1038/nature13995
Muñoz-Marín MD, 2013, P NATL ACAD SCI USA, V110, P8597, DOI 10.1073/pnas.1221775110
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Eilers H, 2001, APPL ENVIRON MICROB, V67, P5134, DOI 10.1128/AEM.67.11.5134-5142.2001
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Finn RD, 2014, NUCLEIC ACIDS RES, V42, pD222, DOI 10.1093/nar/gkt1223
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gerlach W, 2011, NUCLEIC ACIDS RES, V39, DOI 10.1093/nar/gkr225
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Hehemann JH, 2012, P NATL ACAD SCI USA, V109, P19786, DOI 10.1073/pnas.1211002109
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Huntemann M, 2015, STAND GENOMIC SCI, V10, DOI 10.1186/s40793-015-0077-y
HUTCHINSON G, 1961, AM NAT, V95, P137, DOI 10.1086/282171
Kabisch A, 2014, ISME J, V8, P1492, DOI 10.1038/ismej.2014.4
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Krogh A, 2001, J MOL BIOL, V305, P567, DOI 10.1006/jmbi.2000.4315
Loebl M, 2013, J SEA RES, V82, P80, DOI 10.1016/j.seares.2012.09.010
Lombard V, 2014, NUCLEIC ACIDS RES, V42, pD490, DOI 10.1093/nar/gkt1178
Lucas J, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv099
Luo RB, 2012, GIGASCIENCE, V1, DOI 10.1186/2047-217X-1-18
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Mann DG, 1999, PHYCOLOGIA, V38, P437, DOI 10.2216/i0031-8884-38-6-437.1
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Markowitz VM, 2014, NUCLEIC ACIDS RES, V42, pD568, DOI 10.1093/nar/gkt919
Martinez-Garcia M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035314
Meyer F, 2003, NUCLEIC ACIDS RES, V31, P2187, DOI 10.1093/nar/gkg312
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
NELSON DM, 1995, GLOBAL BIOGEOCHEM CY, V9, P359, DOI 10.1029/95GB01070
Nielsen H, 1999, PROTEIN ENG, V12, P3, DOI 10.1093/protein/12.1.3
Niu Y, 2011, WATER RES, V45, P4169, DOI 10.1016/j.watres.2011.05.022
Olenina I., 2006, Biovolumes and size-classes of phytoplankton in the Baltic Sea, P144
Passow U, 2002, PROG OCEANOGR, V55, P287, DOI 10.1016/S0079-6611(02)00138-6
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reddy TBK, 2015, NUCLEIC ACIDS RES, V43, pD1099, DOI 10.1093/nar/gku950
Ruff SE, 2014, DEEP SEA RES 2
Sapp M, 2007, FEMS MICROBIOL ECOL, V59, P622, DOI 10.1111/j.1574-6941.2006.00238.x
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Sonnenburg ED, 2010, CELL, V141, P1241, DOI 10.1016/j.cell.2010.05.005
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Tan SJ, 2015, J PHYCOL, V51, P120, DOI 10.1111/jpy.12259
Taylor JD, 2014, ISME J, V8, P245, DOI 10.1038/ismej.2013.178
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thiele S, 2011, TREATISE ON WATER SCIENCE, VOL 3: AQUATIC CHEMISTRY AND BIOLOGY, P171
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wemheuer B, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00805
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Wiltshire KH, 2010, ESTUAR COAST, V33, P295, DOI 10.1007/s12237-009-9228-y
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yang CY, 2015, SCI REP-UK, V5, DOI 10.1038/srep08476
Yin YB, 2012, NUCLEIC ACIDS RES, V40, pW445, DOI 10.1093/nar/gks479
Yool A, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB002018
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
NR 75
TC 328
Z9 347
PD APR 7
PY 2016
VL 5
AR e11888
DI 10.7554/eLife.11888
UT WOS:000374823700001
HC Y
HP N
DA 2025-07-30
ER
PT J
AU Thingstad, TF
Pree, B
Giske, J
Våge, S
AF Thingstad, T. Frede
Pree, Bernadette
Giske, Jar
Vage, Selina
TI What difference does it make if viruses are strain-, rather than
species-specific?
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Theoretical work has suggested an important role of lytic viruses in controlling the diversity of their prokaryotic hosts. Yet, providing strong experimental or observational support (or refutation) for this has proven evasive. Such models have usually assumed "host groups" to correspond to the "species" level, typically delimited by 16S rRNA gene sequence data. Recent model developments take into account the resolution of species into strains with differences in their susceptibility to viral attack. With strains as the host groups, the models will have explicit viral control of abundance at strain level, combined with explicit predator or resource control at community level, but the direct viral control at species level then disappears. Abundance of a species therefore emerges as the combination of how many strains, and at what abundance, this species can establish in competition with other species from a seeding community. We here discuss how species diversification and strain diversification may introduce competitors and defenders, respectively, and that the balance between the two may be a factor in the control of species diversity in mature natural communities. These models can also give a dominance of individuals from strains with high cost of resistance; suggesting that the high proportion of "dormant" cells among pelagic heterotrophic prokaryotes may reflect their need for expensive defense rather than the lack of suitable growth substrates in their environment.
C1 [Thingstad, T. Frede; Pree, Bernadette; Giske, Jar; Vage, Selina] Univ Bergen, Dept Biol, Hjort Ctr Marine Ecosyst Dynam, N-5020 Bergen, Norway.
RP Thingstad, TF (corresponding author), Univ Bergen, Dept Biol, Hjort Ctr Marine Ecosyst Dynam, POB 7803, N-5020 Bergen, Norway.
EM frede.thingstad@uib.no
CR Ackermann M, 2008, NATURE, V454, P987, DOI 10.1038/nature07067
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Beckett SJ, 2013, INTERFACE FOCUS, V3, DOI 10.1098/rsfs.2013.0033
Beninca E, 2008, NATURE, V451, P822, DOI 10.1038/nature06512
Berngruber TW, 2013, ECOL LETT, V16, P446, DOI 10.1111/ele.12064
Blackburn N, 1997, LIMNOL OCEANOGR, V42, P613, DOI 10.4319/lo.1997.42.4.0613
Blower TR, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003023
Bohannan BJM, 1997, ECOLOGY, V78, P2303
Bohannan BJM, 2000, AM NAT, V156, P329, DOI 10.1086/303393
CONNELL JH, 1979, SCIENCE, V204, P1345, DOI 10.1126/science.204.4399.1345
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
de Wit R, 2006, ENVIRON MICROBIOL, V8, P755, DOI 10.1111/j.1462-2920.2006.01017.x
Dini-Andreote F, 2014, ISME J, V8, P1989, DOI 10.1038/ismej.2014.54
Flores CO, 2011, P NATL ACAD SCI USA, V108, pE288, DOI 10.1073/pnas.1101595108
Fraser C, 2009, SCIENCE, V323, P741, DOI 10.1126/science.1159388
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Haerter JO, 2014, ISME J, V8, P2317, DOI 10.1038/ismej.2014.80
Haraldsson M, 2012, MAR ECOL PROG SER, V471, P73, DOI 10.3354/meps10036
HUTCHINSON G, 1961, AM NAT, V95, P137, DOI 10.1086/282171
Jankowski K., 2014, PLOS ONE, V9, pe8699, DOI [10.1371/journal.pone.0086991, DOI 10.1371/J0URNAL.P0NE.0086991]
Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107
Jover LF, 2013, J THEOR BIOL, V332, P65, DOI 10.1016/j.jtbi.2013.04.011
Jumars Peter A., 1993, Marine Microbial Food Webs, V7, P121
Larsen A, 2015, LIMNOL OCEANOGR, V60, P360, DOI 10.1002/lno.10025
Lenton TM, 2014, NAT GEOSCI, V7, P257, DOI 10.1038/ngeo2108
Little TJ, 2002, J EVOLUTION BIOL, V15, P1, DOI 10.1046/j.1420-9101.2002.00366.x
Mandelbrot B. B., 1982, The fractal geometry of nature
Marston MF, 2012, P NATL ACAD SCI USA, V109, P4544, DOI 10.1073/pnas.1120310109
Martiny JBH, 2014, ANNU REV MAR SCI, V6, P393, DOI 10.1146/annurev-marine-010213-135108
Middelboe M, 2009, ENVIRON MICROBIOL, V11, P1971, DOI 10.1111/j.1462-2920.2009.01920.x
MURRAY AG, 1992, MAR ECOL PROG SER, V89, P103, DOI 10.3354/meps089103
PENGERUD B, 1987, MAR ECOL PROG SER, V35, P111, DOI 10.3354/meps035111
Sano E, 2004, APPL ENVIRON MICROB, V70, P5842, DOI 10.1128/AEM.70.10.5842-5846.2004
Smith J, 2010, SCIENCE, V328, P1700, DOI 10.1126/science.1189675
Smith-Ray RL, 2015, J GERONTOL B-PSYCHOL, V70, P357, DOI 10.1093/geronb/gbt097
Staley C, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00524
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 2010, PROG OCEANOGR, V84, P6, DOI 10.1016/j.pocean.2009.09.001
THINGSTAD TF, 1985, MAR ECOL PROG SER, V21, P47, DOI 10.3354/meps021047
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
TILMAN D, 1977, ECOLOGY, V58, P338, DOI 10.2307/1935608
Uksa M, 2014, SOIL BIOL BIOCHEM, V75, P197, DOI 10.1016/j.soilbio.2014.04.018
VADSTEIN O, 1988, LIMNOL OCEANOGR, V33, P489, DOI 10.4319/lo.1988.33.4.0489
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Ward BA, 2012, LIMNOL OCEANOGR, V57, P1877, DOI 10.4319/lo.2012.57.6.1877
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weitz JS, 2013, TRENDS MICROBIOL, V21, P82, DOI 10.1016/j.tim.2012.11.003
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
ZWEIFEL UL, 1995, APPL ENVIRON MICROB, V61, P2180, DOI 10.1128/AEM.61.6.2180-2185.1995
NR 53
TC 19
Z9 20
PD APR 20
PY 2015
VL 6
AR 320
DI 10.3389/fmicb.2015.00320
UT WOS:000354788500002
DA 2025-07-30
ER
PT J
AU Ferrera, I
Sebastian, M
Acinas, SG
Gasol, JM
AF Ferrera, Isabel
Sebastian, Marta
Acinas, Silvia G.
Gasol, Josep M.
TI Prokaryotic functional gene diversity in the sunlit ocean: Stumbling in
the dark
SO CURRENT OPINION IN MICROBIOLOGY
DT Review
AB Prokaryotes are extremely abundant in the ocean where they drive biogeochemical cycles. The recent development and application of -omics techniques has provided an astonishing amount of information revealing the existence of a vast diversity of functional genes and a large heterogeneity within each gene. The big challenge for microbial ecologists is now to understand the ecological relevance of this variability for ecosystem functioning, a question that remains largely understudied. This brief review highlights some of the latest advances in the study of the diversity of biogeochemically relevant functional genes in the sunlit ocean.
C1 [Ferrera, Isabel; Sebastian, Marta; Acinas, Silvia G.; Gasol, Josep M.] CSIC, Dept Biol Marina & Oceanog, Inst Ciencies Mar, E-08003 Barcelona, Catalunya, Spain.
RP Ferrera, I (corresponding author), CSIC, Dept Biol Marina & Oceanog, Inst Ciencies Mar, Pg Maritim Barceloneta 37-49, E-08003 Barcelona, Catalunya, Spain.
EM iferrera@icm.csic.es
CR Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Arrieta JM, 2002, LIMNOL OCEANOGR, V47, P594, DOI 10.4319/lo.2002.47.2.0594
Beier S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00149
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bergman B, 2013, FEMS MICROBIOL REV, V37, P286, DOI 10.1111/j.1574-6976.2012.00352.x
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Carini P, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5346
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Cunliffe M, 2013, APPL ENVIRON MICROB, V79, P738, DOI 10.1128/AEM.02466-12
Curson ARJ, 2011, NAT REV MICROBIOL, V9, P849, DOI 10.1038/nrmicro2653
Muñoz-Marín MD, 2013, P NATL ACAD SCI USA, V110, P8597, DOI 10.1073/pnas.1221775110
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
Dittmar T., 2014, TREATISE GEOCHEMISTR, P125, DOI DOI 10.1016/B978-0-08-095975-7.01010-X
Dupont CL, 2008, ENVIRON MICROBIOL, V10, P1831, DOI 10.1111/j.1462-2920.2008.01604.x
Farnelid H, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019223
Fernández-Gómez B, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-347
Fernàndez-Guerra A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0047330
Ferrera I, 2014, ENVIRON MICROBIOL, V16, P2953, DOI 10.1111/1462-2920.12278
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Karsenti E, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001177
Kathuria S, 2011, ENVIRON MICROBIOL, V13, P74, DOI 10.1111/j.1462-2920.2010.02310.x
King GM, 2007, NAT REV MICROBIOL, V5, P107, DOI 10.1038/nrmicro1595
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Kwon SK, 2013, GENOME BIOL EVOL, V5, P187, DOI 10.1093/gbe/evs134
Luo HW, 2013, ENV MICROBIOL REP, V5, P686, DOI 10.1111/1758-2229.12068
Man DL, 2003, EMBO J, V22, P1725, DOI 10.1093/emboj/cdg183
Martínez A, 2012, ENVIRON MICROBIOL, V14, P1363, DOI 10.1111/j.1462-2920.2011.02612.x
Martinez A, 2010, ENVIRON MICROBIOL, V12, P222, DOI 10.1111/j.1462-2920.2009.02062.x
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Moisander PH, 2010, SCIENCE, V327, P1512, DOI 10.1126/science.1185468
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Moran MA, 2012, ANNU REV MAR SCI, V4, P523, DOI 10.1146/annurev-marine-120710-100827
Newell SE, 2013, LIMNOL OCEANOGR, V58, P1491, DOI 10.4319/lo.2013.58.4.1491
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Ottesen EA, 2014, SCIENCE, V345, P207, DOI 10.1126/science.1252476
Palovaara J, 2014, P NATL ACAD SCI USA, V111, pE3650, DOI 10.1073/pnas.1402617111
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Satinsky BM, 2014, P NATL ACAD SCI USA, V111, P11085, DOI 10.1073/pnas.1402782111
Sebastian M, 2009, ISME J, V3, P563, DOI 10.1038/ismej.2009.10
Sintes E, 2013, ENVIRON MICROBIOL, V15, P1647, DOI 10.1111/j.1462-2920.2012.02801.x
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-117
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Varaljay VA, 2014, APPL ENVIRON MICROB, V78, P2775
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Waidner LA, 2008, APPL ENVIRON MICROB, V74, P4012, DOI 10.1128/AEM.02324-07
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Yoshizawa S, 2014, P NATL ACAD SCI USA, V111, P6732, DOI 10.1073/pnas.1403051111
Yutin N, 2007, ENVIRON MICROBIOL, V9, P1464, DOI 10.1111/j.1462-2920.2007.01265.x
Zehr JP, 2011, ANNU REV MAR SCI, V3, P197, DOI 10.1146/annurev-marine-120709-142819
NR 59
TC 21
Z9 22
PD JUN
PY 2015
VL 25
BP 33
EP 39
DI 10.1016/j.mib.2015.03.007
UT WOS:000360510900007
DA 2025-07-30
ER
PT J
AU Aguirre, M
Abad, D
Albaina, A
Gutiérrez-Muto, M
Langa, J
Goñi-Urriza, M
Orruño, M
Arana, I
Estonba, A
Zarraonaindia, I
AF Aguirre, Mikel
Abad, David
Albaina, Aitor
Gutierrez-Muto, Mikel
Langa, Jorge
Goni-Urriza, Marisol
Orruno, Maite
Arana, Ines
Estonba, Andone
Zarraonaindia, Iratxe
TI Ecological status of Urdaibai Biosphere reserve based on bacterial
communities in a small-drainage estuary
SO MARINE AND FRESHWATER RESEARCH
DT Article
AB Context. The influence of anthropogenic pressures on plankton communities in well-flushed estuaries has been overlooked. Owing to this ecosystem's short water-residence time, they are foreseen to be mainly composed of microorganisms from neritic-oceanic sources, more resilient to anthropogenic impacts.Aims. This study characterises the bacterioplankton of Urdaibai, a small-drainage estuary located at a UNESCO biosphere reserve, to unravel its annual dynamic and ecological status.Methods. Amplicon sequencing was used to assess the euhaline bacterioplankton shifts and microgAMBI index depicted the ecological status of the estuary.Key results. A differentiated community was identified in upstream waters throughout the year. In addition, organisms commonly associated with faecal waste were detected. The ecological status of the estuary was poor or moderate along the annual cycle, but surprisingly worsened during winter.Conclusions. The above suggests that the bacterial community dynamic in this well-fluxed small-drainage estuary is more complex than anticipated. Importantly, the analysis of pollution-indicative bacteria proved that the water policy of this estuary needs to be further evaluated.Implications. The completion of an efficient sewage treatment system for this protected and touristic estuary is strongly recommended. Incorporating bacterial information to its current monitoring system will constitute a useful and valuable tool.
C1 [Aguirre, Mikel; Abad, David; Gutierrez-Muto, Mikel; Langa, Jorge; Estonba, Andone; Zarraonaindia, Iratxe] Univ Basque Country, UPV EHU, Fac Sci & Technol, Dept Genet Phys Anthropol & Anim Physiol, Leioa, Bizkaia, Spain.
[Aguirre, Mikel] Anbiolab Anbiotek Biotechnol SL, Derio, Bizkaia, Spain.
[Abad, David] Agr Tech Inst Castilla & Leon ITACyL, Mol Biol & Microbiol Lab, Valladolid, Spain.
[Albaina, Aitor] Univ Basque Country, UPV EHU, Fac Sci & Technol, Dept Zool & Anim Cell Biol, Leioa, Bizkaia, Spain.
[Goni-Urriza, Marisol] Univ Pau & Pays Adour, Inst Sci Analyt & Physicochim Environm & Mat, CNRS, Pau, France.
[Orruno, Maite; Arana, Ines] Univ Basque Country, UPV EHU, Fac Sci & Technol, Dept Immunol Microbiol & Parasitol, Leioa, Bizkaia, Spain.
[Zarraonaindia, Iratxe] Basque Fdn Sci, IKERBASQUE, Bilbao, Spain.
RP Zarraonaindia, I (corresponding author), Univ Basque Country, UPV EHU, Fac Sci & Technol, Dept Genet Phys Anthropol & Anim Physiol, Leioa, Bizkaia, Spain.
EM iratxe.zarraonaindia@ehu.eus
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Aguirre M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0178755
Albaina A, 2009, J PLANKTON RES, V31, P739, DOI 10.1093/plankt/fbp025
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Aylagas E, 2017, MAR POLLUT BULL, V114, P679, DOI 10.1016/j.marpolbul.2016.10.050
Bettarel Y, 2011, FEMS MICROBIOL ECOL, V76, P360, DOI 10.1111/j.1574-6941.2011.01054.x
Biddanda B, 2001, LIMNOL OCEANOGR, V46, P730, DOI 10.4319/lo.2001.46.3.0730
Biers EJ, 2009, APPL ENVIRON MICROB, V75, P2221, DOI 10.1128/AEM.02118-08
Bilbao J, 2022, REG STUD MAR SCI, V56, DOI 10.1016/j.rsma.2022.102707
Bobrova O, 2016, ACTA BIOCHIM POL, V63, P315, DOI 10.18388/abp.2015_1145
Borja A, 2018, ECOL INDIC, V85, P594, DOI 10.1016/j.ecolind.2017.11.018
Bylak A, 2022, SCI TOTAL ENVIRON, V815, DOI 10.1016/j.scitotenv.2021.151974
Campbell AM, 2015, MICROBIOLOGYOPEN, V4, P390, DOI 10.1002/mbo3.245
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Caporaso JG, 2010, BIOINFORMATICS, V26, P266, DOI 10.1093/bioinformatics/btp636
Caruso G, 2016, CRIT REV MICROBIOL, V42, P883, DOI 10.3109/1040841X.2015.1087380
Cearreta A, 2006, SEGUIMIENTO MORFODIN
Cloern JE, 2016, GLOBAL CHANGE BIOL, V22, P513, DOI 10.1111/gcb.13059
Cloern JE, 2012, REV GEOPHYS, V50, DOI 10.1029/2012RG000397
Collado L, 2008, ENVIRON MICROBIOL, V10, P1635, DOI 10.1111/j.1462-2920.2007.01555.x
Cotano U, 1998, J EXP MAR BIOL ECOL, V227, P265, DOI 10.1016/S0022-0981(97)00275-X
DeLong EF, 2005, NATURE, V437, P336, DOI 10.1038/nature04157
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Feng BW, 2009, FEMS MICROBIOL ECOL, V70, P236, DOI 10.1111/j.1574-6941.2009.00772.x
Fortunato CS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140578
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Franco J, 1994, THESIS UPV EHU LEIOA
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Genitsaris S, 2016, MAR ECOL PROG SER, V548, P61, DOI 10.3354/meps11647
Gibbons Sean M, 2013, Proc Natl Acad Sci U S A, V110, P4651, DOI 10.1073/pnas.1217767110
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Guizien K, 2014, J MARINE SYST, V129, P178, DOI 10.1016/j.jmarsys.2013.05.010
Han D, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-06624-7
Henriques IS, 2006, ESTUAR COAST SHELF S, V68, P139, DOI 10.1016/j.ecss.2006.01.015
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
HICKS GRF, 1992, MAR ECOL PROG SER, V87, P15, DOI 10.3354/meps087015
Huete-Stauffer TM, 2012, AQUAT MICROB ECOL, V67, P211, DOI 10.3354/ame01590
Hugerth LW, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01561
Iriarte A, 2008, AQUAT MICROB ECOL, V52, P273, DOI 10.3354/ame01237
Iriarte A, 2010, MAR ECOL PROG SER, V418, P57, DOI 10.3354/meps08812
JEFFREY S W., 1997, Phytoplankton pigments in Oceanography: guidelines to modern methods, P19
Jeffries TC, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01438
Jiang XJ, 2022, MICROORGANISMS, V10, DOI 10.3390/microorganisms10050991
Joglar V, 2021, ENVIRON MICROBIOL, V23, P1559, DOI 10.1111/1462-2920.15367
Kan J, 2008, AQUAT MICROB ECOL, V51, P55, DOI 10.3354/ame01177
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kostyla C, 2015, SCI TOTAL ENVIRON, V514, P333, DOI 10.1016/j.scitotenv.2015.01.018
Kritzberg ES, 2010, AQUAT MICROB ECOL, V58, P141, DOI 10.3354/ame01368
Lanzén A, 2021, MOL ECOL, V30, P2969, DOI 10.1111/mec.15489
Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
Lee C, 2012, APPL ENVIRON MICROB, V78, P5511, DOI 10.1128/AEM.08009-11
LORENZEN CJ, 1967, LIMNOL OCEANOGR, V12, P343, DOI 10.4319/lo.1967.12.2.0343
Lotze HK, 2006, SCIENCE, V312, P1806, DOI 10.1126/science.1128035
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Mason OU, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01048
Mazard S, 2012, ENVIRON MICROBIOL, V14, P372, DOI 10.1111/j.1462-2920.2011.02514.x
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
Mestre M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01590
Monge-Ganuzas M, 2013, OCEAN COAST MANAGE, V77, P40, DOI 10.1016/j.ocecoaman.2012.02.006
Morán XAG, 2013, MAR ECOL PROG SER, V489, P75, DOI 10.3354/meps10428
Newton RJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074265
Nydahl A, 2013, FEMS MICROBIOL ECOL, V85, P338, DOI 10.1111/1574-6941.12123
Orive E, 1998, OCEANOL ACTA, V21, P293, DOI 10.1016/S0399-1784(98)80016-9
Paulson JN, 2013, NAT METHODS, V10, P1200, DOI [10.1038/NMETH.2658, 10.1038/nmeth.2658]
Pendleton LH, 2016, MAR POLICY, V64, P156, DOI 10.1016/j.marpol.2015.11.018
Price PB, 2004, P NATL ACAD SCI USA, V101, P4631, DOI 10.1073/pnas.0400522101
Pringault O, 2021, CHEMOSPHERE, V278, DOI 10.1016/j.chemosphere.2021.130457
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Rasmussen AN, 2021, MICROB ECOL, V81, P601, DOI 10.1007/s00248-020-01621-7
Revilla M, 2000, ESTUAR COAST SHELF S, V50, P297, DOI 10.1006/ecss.1999.0576
Ruiz A., 1994, Netherlands Journal of Aquatic Ecology, V28, P309, DOI 10.1007/BF02334199
Selje N, 2003, AQUAT MICROB ECOL, V30, P221, DOI 10.3354/ame030221
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shibata T, 2004, WATER RES, V38, P3119, DOI 10.1016/j.watres.2004.04.044
Trigueros JM, 2000, J PLANKTON RES, V22, P969, DOI 10.1093/plankt/22.5.969
Trigueros JM, 2001, HYDROBIOLOGIA, V444, P119, DOI 10.1023/A:1017563031810
Vaqué D, 2009, AQUAT MICROB ECOL, V54, P101, DOI 10.3354/ame01259
Vargas CA, 2007, LIMNOL OCEANOGR, V52, P1495, DOI 10.4319/lo.2007.52.4.1495
Villate F, 1997, SCI MAR, V61, P173
Wang HL, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00392-z
Wu LW, 2019, NAT MICROBIOL, V4, P1183, DOI 10.1038/s41564-019-0426-5
Wurtsbaugh WA, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1373
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
Zhao J, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.633993
Zhou L, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01433-z
NR 90
TC 0
Z9 0
PY 2023
VL 74
IS 8
BP 651
EP 664
DI 10.1071/MF22072
EA MAY 2023
UT WOS:000982174500001
DA 2025-07-30
ER
PT J
AU Castledine, M
Buckling, A
AF Castledine, Meaghan
Buckling, Angus
TI Critically evaluating the relative importance of phage in shaping
microbial community composition
SO TRENDS IN MICROBIOLOGY
DT Article
AB The ubiquity of bacteriophages (phages) and the major evolutionary and ecological impacts they can have on their microbial hosts has resulted in phages often cited as key drivers shaping microbial community composition (the relative abundances of species). However, the evidence for the importance of phages is mixed. Here, we critically review the theory and data exploring the role of phages in communities, identifying the conditions when phages are likely to be important drivers of community composition. At ecological scales, we conclude that phages are often followers rather than drivers of microbial population and community dynamics. While phages can affect strain diversity within species, there is yet to be strong evidence suggesting that fluctuations in species' strains affects community composition.
C1 [Castledine, Meaghan; Buckling, Angus] Univ Exeter, Environm & Sustainabil Inst, Cornwall TR10 9FE, England.
RP Castledine, M (corresponding author), Univ Exeter, Environm & Sustainabil Inst, Cornwall TR10 9FE, England.
EM mcastledine96@gmail.com
CR Abedon ST, 2021, PHARMACEUTICALS-BASE, V14, DOI 10.3390/ph14101019
Abedon ST, 2019, ADV DRUG DELIVER REV, V145, P18, DOI 10.1016/j.addr.2018.06.018
Ahlgren NA, 2019, ENVIRON MICROBIOL, V21, P2948, DOI 10.1111/1462-2920.14687
Alseth EO, 2023, bioRxiv, DOI [10.1101/2023.09.26.559468, 10.1101/2023.09.26.559468, DOI 10.1101/2023.09.26.559468]
Alseth EO, 2019, NATURE, V574, P549, DOI 10.1038/s41586-019-1662-9
Arbas SM, 2021, NAT MICROBIOL, V6, P123, DOI 10.1038/s41564-020-00794-8
Bao HD, 2018, APPL MICROBIOL BIOT, V102, P10219, DOI 10.1007/s00253-018-9378-6
Barbosa C, 2013, MICROB ECOL, V66, P897, DOI 10.1007/s00248-013-0284-2
Beckett SJ, 2013, INTERFACE FOCUS, V3, DOI 10.1098/rsfs.2013.0033
Betts A, 2018, SCIENCE, V360, P907, DOI 10.1126/science.aam9974
Betts A, 2014, P NATL ACAD SCI USA, V111, P11109, DOI 10.1073/pnas.1406763111
Blazanin M, 2021, ISME J, V15, P3119, DOI 10.1038/s41396-021-01012-x
Breitbart M, 2018, NAT MICROBIOL, V3, P754, DOI 10.1038/s41564-018-0166-y
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brockhurst Michael A., 2006, BMC Ecology, V6, P19, DOI 10.1186/1472-6785-6-19
Brown SP, 2006, CURR BIOL, V16, P2048, DOI 10.1016/j.cub.2006.08.089
Buckling A, 2002, P ROY SOC B-BIOL SCI, V269, P931, DOI 10.1098/rspb.2001.1945
Castledine M, 2023, MBIO, V14, DOI 10.1128/mbio.00460-23
Castledine M, 2022, ELIFE, V11, DOI [10.7554/eLife.73679, 10.7554/eLife.73679.sa0, 10.7554/eLife.73679.sa1, 10.7554/eLife.73679.sa2]
Chevallereau A, 2022, NAT REV MICROBIOL, V20, P49, DOI 10.1038/s41579-021-00602-y
Chotirmall SH, 2022, AM J RESP CRIT CARE, V206, P535, DOI 10.1164/rccm.202112-2704PP
Commons J, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0098
Davies EV, 2016, P NATL ACAD SCI USA, V113, P8266, DOI 10.1073/pnas.1520056113
de Jonge PA, 2019, TRENDS MICROBIOL, V27, P51, DOI 10.1016/j.tim.2018.08.006
Debray R, 2022, MOL BIOL EVOL, V39, DOI 10.1093/molbev/msac182
Dewald-Wang EA, 2021, AM NAT, DOI 10.1086/717181
Erkus O, 2013, ISME J, V7, P2126, DOI 10.1038/ismej.2013.108
Faruque SM, 2005, P NATL ACAD SCI USA, V102, P1702, DOI 10.1073/pnas.0408992102
Fazzino L, 2020, ISME J, V14, P123, DOI 10.1038/s41396-019-0511-z
Fierer N, 2017, NAT REV MICROBIOL, V15, P579, DOI 10.1038/nrmicro.2017.87
Filippini M, 2006, APPL ENVIRON MICROB, V72, P4893, DOI 10.1128/AEM.00319-06
Flynn KJ, 2022, NEW PHYTOL, V234, P990, DOI 10.1111/nph.18042
Gandon S, 2008, J EVOLUTION BIOL, V21, P1861, DOI 10.1111/j.1420-9101.2008.01598.x
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez P, 2011, SCIENCE, V332, P106, DOI 10.1126/science.1198767
Goyal A, 2022, ELIFE, V11, DOI [10.7554/eLife.74987, 10.7554/eLife.74987.sa0, 10.7554/eLife.74987.sa1, 10.7554/eLife.74987.sa2]
Gralka M, 2020, CURR BIOL, V30, pR1176, DOI 10.1016/j.cub.2020.08.007
Hall AR, 2011, ECOL LETT, V14, P635, DOI 10.1111/j.1461-0248.2011.01624.x
Harcombe WR, 2005, APPL ENVIRON MICROB, V71, P5254, DOI 10.1128/AEM.71.9.5254-5259.2005
Hewson I, 2003, MICROB ECOL, V46, P322, DOI 10.1007/s00248-002-1067-3
Hidalgo-Cantabrana C, 2018, VIRUSES-BASEL, V10, DOI 10.3390/v10090479
Hoek TA, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.1002540
Howard-Varona C, 2017, ISME J, V11, P1511, DOI 10.1038/ismej.2017.16
Hsu BB, 2019, CELL HOST MICROBE, V25, P803, DOI 10.1016/j.chom.2019.05.001
Ignacio-Espinoza JC, 2020, NAT MICROBIOL, V5, P265, DOI 10.1038/s41564-019-0628-x
Jensen MA, 2006, P NATL ACAD SCI USA, V103, P4652, DOI 10.1073/pnas.0600166103
Johnke J, 2017, FRONT ECOL EVOL, V5, DOI 10.3389/fevo.2017.00124
Kauffman KM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-021-27583-z
Kiani Aysha Karim, 2020, Acta Biomed, V91, pe2020025, DOI 10.23750/abm.v91i13-S.10834
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Koskella B, 2014, FEMS MICROBIOL REV, V38, P916, DOI 10.1111/1574-6976.12072
Laanto E, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00158-7
LeGault KN, 2021, SCIENCE, V373, P534, DOI 10.1126/science.abg2166
LENSKI RE, 1991, AM NAT, V138, P1315, DOI 10.1086/285289
LENSKI RE, 1985, AM NAT, V125, P585, DOI 10.1086/284364
Levin BR, 2004, NAT REV MICROBIOL, V2, P166, DOI 10.1038/nrmicro822
Liao HP, 2023, ISME J, V17, P916, DOI 10.1038/s41396-023-01404-1
Villalpando-Aguilar JL, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24010325
Luque A, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00353-20
Martiny JBH, 2014, ANNU REV MAR SCI, V6, P393, DOI 10.1146/annurev-marine-010213-135108
Maslov S, 2017, SCI REP-UK, V7, DOI 10.1038/srep39642
Maurice CF, 2010, ENVIRON MICROBIOL, V12, P628, DOI 10.1111/j.1462-2920.2009.02103.x
Mizoguchi K, 2003, APPL ENVIRON MICROB, V69, P170, DOI 10.1128/AEM.69.1.170-176.2003
Morgan AD, 2012, ECOL LETT, V15, P841, DOI 10.1111/j.1461-0248.2012.01805.x
Mumford R, 2017, EVOL APPL, V10, P161, DOI 10.1111/eva.12435
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Osada K, 2017, BIOCHEM ENG J, V126, P16, DOI 10.1016/j.bej.2017.06.022
Pal C, 2007, NATURE, V450, P1079, DOI 10.1038/nature06350
Papoulis SE, 2021, MBIO, V12, DOI 10.1128/mBio.00873-21
Perry EB, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130639
Pfeifer E, 2022, CURR OPIN MICROBIOL, V70, DOI 10.1016/j.mib.2022.102230
Piel D, 2022, NAT MICROBIOL, V7, P1075, DOI 10.1038/s41564-022-01157-1
Pires DP, 2015, J VIROL, V89, P7449, DOI 10.1128/JVI.00385-15
Retel C, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0530
Rocha EPC, 2022, PLOS BIOL, V20, DOI 10.1371/journal.pbio.3001514
Schwalbach MS, 2004, AQUAT MICROB ECOL, V34, P117, DOI 10.3354/ame034117
Tamar ES, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-35351-w
Shapiro OH, 2010, ISME J, V4, P327, DOI 10.1038/ismej.2009.118
Shkoporov AN, 2019, CELL HOST MICROBE, V26, P527, DOI 10.1016/j.chom.2019.09.009
Sun Y, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02545-17
Tesson F, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-30269-9
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
van Houte S, 2016, MICROBIOL MOL BIOL R, V80, P745, DOI 10.1128/MMBR.00011-16
Wandro S, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03192
Wang XF, 2017, EVOLUTION, V71, P733, DOI 10.1111/evo.13143
Weinbauer MG, 2006, MICROB ECOL, V51, P336, DOI 10.1007/s00248-006-9028-x
Weitz JS, 2019, VIRUS EVOL, V5, DOI 10.1093/ve/vez006
Winter C, 2004, APPL ENVIRON MICROB, V70, P804, DOI 10.1128/AEM.70.2.804-813.2004
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Wright RCT, 2016, BMC EVOL BIOL, V16, DOI 10.1186/s12862-016-0808-8
Xu ZH, 2023, ISME J, V17, P2200, DOI 10.1038/s41396-023-01529-3
Yu PF, 2017, ENVIRON SCI TECHNOL, V51, P5270, DOI 10.1021/acs.est.7b00529
Zhang ZH, 2023, MICROB ECOL, V86, P144, DOI 10.1007/s00248-022-02045-1
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 94
TC 17
Z9 17
PD OCT
PY 2024
VL 32
IS 10
BP 957
EP 969
DI 10.1016/j.tim.2024.02.014
EA OCT 2024
UT WOS:001368335000001
DA 2025-07-30
ER
PT J
AU Swan, BK
Tupper, B
Sczyrba, A
Lauro, FM
Martinez-Garcia, M
González, JM
Luo, HW
Wright, JJ
Landry, ZC
Hanson, NW
Thompson, BP
Poulton, NJ
Schwientek, P
Acinas, SG
Giovannoni, SJ
Moran, MA
Hallam, SJ
Cavicchioli, R
Woyke, T
Stepanauskas, R
AF Swan, Brandon K.
Tupper, Ben
Sczyrba, Alexander
Lauro, Federico M.
Martinez-Garcia, Manuel
Gonzalez, Jose M.
Luo, Haiwei
Wright, Jody J.
Landry, Zachary C.
Hanson, Niels W.
Thompson, Brian P.
Poulton, Nicole J.
Schwientek, Patrick
Acinas, Silvia G.
Giovannoni, Stephen J.
Moran, Mary Ann
Hallam, Steven J.
Cavicchioli, Ricardo
Woyke, Tanja
Stepanauskas, Ramunas
TI Prevalent genome streamlining and latitudinal divergence of planktonic
bacteria in the surface ocean
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
AMERICA
DT Article
AB Planktonic bacteria dominate surface ocean biomass and influence global biogeochemical processes, but remain poorly characterized owing to difficulties in cultivation. Using large-scale single cell genomics, we obtained insight into the genome content and biogeography of many bacterial lineages inhabiting the surface ocean. We found that, compared with existing cultures, natural bacterioplankton have smaller genomes, fewer gene duplications, and are depleted in guanine and cytosine, noncoding nucleotides, and genes encoding transcription, signal transduction, and noncytoplasmic proteins. These findings provide strong evidence that genome streamlining and oligotrophy are prevalent features among diverse, free-living bacterioplankton, whereas existing laboratory cultures consist primarily of copiotrophs. The apparent ubiquity of metabolic specialization and mixotrophy, as predicted from single cell genomes, also may contribute to the difficulty in bacterioplankton cultivation. Using metagenome fragment recruitment against single cell genomes, we show that the global distribution of surface ocean bacterioplankton correlates with temperature and latitude and is not limited by dispersal at the time scales required for nucleotide substitution to exceed the current operational definition of bacterial species. Single cell genomes with highly similar small subunit rRNA gene sequences exhibited significant genomic and biogeographic variability, highlighting challenges in the interpretation of individual gene surveys and metagenome assemblies in environmental microbiology. Our study demonstrates the utility of single cell genomics for gaining an improved understanding of the composition and dynamics of natural microbial assemblages.
C1 [Swan, Brandon K.; Tupper, Ben; Thompson, Brian P.; Poulton, Nicole J.; Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
[Sczyrba, Alexander] Univ Bielefeld, Ctr Biotechnol, D-33615 Bielefeld, Germany.
[Lauro, Federico M.; Cavicchioli, Ricardo] Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW 2052, Australia.
[Martinez-Garcia, Manuel] Univ Alicante, Dept Physiol Genet & Microbiol, E-03080 Alicante, Spain.
[Gonzalez, Jose M.] Univ La Laguna, Dept Microbiol, ES-38206 Tenerife, Spain.
[Luo, Haiwei; Moran, Mary Ann] Univ Georgia, Dept Marine Sci, Athens, GA 30602 USA.
[Wright, Jody J.; Hallam, Steven J.] Univ British Columbia, Vancouver, BC V6T 1Z4, Canada.
[Landry, Zachary C.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Hanson, Niels W.; Hallam, Steven J.] Univ British Columbia, Grad Program Bioinformat, Vancouver, BC V6T 1Z4, Canada.
[Schwientek, Patrick; Woyke, Tanja] US DOE, Joint Genome Inst, Walnut Creek, CA 94598 USA.
[Acinas, Silvia G.] CSIC, Inst Marine Sci, Dept Marine Biol & Oceanog, ES-08003 Barcelona, Spain.
RP Stepanauskas, R (corresponding author), Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
EM rstepanauskas@bigelow.org
CR AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
[Anonymous], 1934, Geobiologie of Inleiding tot de Milieukunde
Barton AD, 2010, SCIENCE, V327, P1509, DOI 10.1126/science.1184961
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
Cleland D, 2004, J MICROBIOL METH, V58, P31, DOI 10.1016/j.mimet.2004.02.015
Coleman M, 2007, IEEE CONTR SYST MAG, V27, P15, DOI 10.1109/MCS.2007.284503
Döös K, 2012, J PHYS OCEANOGR, V42, P1445, DOI 10.1175/JPO-D-11-0163.1
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Gianoulis TA, 2009, P NATL ACAD SCI USA, V106, P1374, DOI 10.1073/pnas.0808022106
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Glockner FO, 2012, 17 MAR BOARD EUR SCI
Goris J, 2007, INT J SYST EVOL MICR, V57, P81, DOI 10.1099/ijs.0.64483-0
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Ho SYW, 2011, MOL ECOL, V20, P3087, DOI 10.1111/j.1365-294X.2011.05178.x
Jiang XP, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043866
Konstantinidis KT, 2005, J BACTERIOL, V187, P6258, DOI 10.1128/JB.187.18.6258-6264.2005
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Kuo CH, 2009, BIOL DIRECT, V4, DOI 10.1186/1745-6150-4-35
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Luo HW, 2012, APPL ENVIRON MICROB, V78, P6550, DOI 10.1128/AEM.01406-12
Marcy Y, 2007, P NATL ACAD SCI USA, V104, P11889, DOI 10.1073/pnas.0704662104
Markowitz VM, 2010, NUCLEIC ACIDS RES, V38, pD382, DOI 10.1093/nar/gkp887
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Martinez-Garcia M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035314
OCHMAN H, 1987, J MOL EVOL, V26, P74, DOI 10.1007/BF02111283
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Raghavan R, 2012, P NATL ACAD SCI USA, V109, P14504, DOI 10.1073/pnas.1205683109
Raghunathan A, 2005, APPL ENVIRON MICROB, V71, P3342, DOI 10.1128/AEM.71.6.3342-3347.2005
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Rodrigue S, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006864
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schmieder R, 2011, BIOINFORMATICS, V27, P863, DOI 10.1093/bioinformatics/btr026
Schut F, 1997, AQUAT MICROB ECOL, V12, P177, DOI 10.3354/ame012177
Stepanauskas R, 2007, P NATL ACAD SCI USA, V104, P9052, DOI 10.1073/pnas.0700496104
Stepanauskas R, 2012, CURR OPIN MICROBIOL, V15, P613, DOI 10.1016/j.mib.2012.09.001
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Temperton B, 2012, CURR OPIN MICROBIOL, V15, P605, DOI 10.1016/j.mib.2012.07.001
Thomas MK, 2012, SCIENCE, V338, P1085, DOI 10.1126/science.1224836
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
NR 50
TC 265
Z9 293
PD JUL 9
PY 2013
VL 110
IS 28
BP 11463
EP 11468
DI 10.1073/pnas.1304246110
UT WOS:000321827000063
DA 2025-07-30
ER
PT J
AU Joint, I
Mühling, M
Querellou, J
AF Joint, Ian
Muehling, Martin
Querellou, Joel
TI Culturing marine bacteria - an essential prerequisite for biodiscovery
SO MICROBIAL BIOTECHNOLOGY
DT Review
AB The potential for using marine microbes for biodiscovery is severely limited by the lack of laboratory cultures. It is a long-standing observation that standard microbiological techniques only isolate a very small proportion of the wide diversity of microbes that are known in natural environments from DNA sequences. A number of explanations are reviewed. The process of establishing laboratory cultures may destroy any cell-to-cell communication that occurs between organisms in the natural environment and that are vital for growth. Bacteria probably grow as consortia in the sea and reliance on other bacteria for essential nutrients and substrates is not possible with standard microbiological approaches. Such interactions should be considered when designing programmes for the isolation of marine microbes. The benefits of novel technologies for manipulating cells are reviewed, including single cell encapsulation in gel micro-droplets. Although novel technologies offer benefits for bringing previously uncultured microbes into laboratory culture, many useful bacteria can still be isolated using variations of plating techniques. Results are summarized for a study to culture bacteria from a long-term observatory station in the English Channel. Bacterial biodiversity in this assemblage has recently been characterized using high-throughput sequencing techniques. Although Alphaproteobacteria dominated the natural bacterial assemblage throughout the year, Gammaproteobacteria were the most frequent group isolated by plating techniques. The use of different gelling agents and the addition of ammonium to seawater-based agar did lead to the isolation of a higher proportion of Alphaproteobacteria. Variation in medium composition was also able to increase the recovery of other groups of particular interest for biodiscovery, such as Actinobacteria.
C1 [Joint, Ian] Plymouth Marine Lab, Plymouth PL1 3DH, Devon, England.
[Muehling, Martin] TU Bergakad Freiberg, Environm Microbiol Grp, IOZ Interdisciplinary Ctr Ecol, D-09599 Freiburg, Germany.
[Querellou, Joel] IFREMER, Ctr Brest, Lab Microbiol Environm Extremes, UMR6197, F-29280 Plouzane, France.
RP Joint, I (corresponding author), Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England.
EM irj@pml.ac.uk
CR Achtman M, 2008, NAT REV MICROBIOL, V6, P431, DOI 10.1038/nrmicro1872
Alain K, 2009, EXTREMOPHILES, V13, P583, DOI 10.1007/s00792-009-0261-3
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Azam F., 1984, Flows of energy and materials in marine ecosystems, P345
Bell T, 2005, NATURE, V436, P1157, DOI 10.1038/nature03891
BELL W, 1972, BIOL BULL, V143, P265, DOI 10.2307/1540052
BIDDANDA BA, 1988, MAR ECOL PROG SER, V42, P79, DOI 10.3354/meps042079
Bollmann A, 2007, APPL ENVIRON MICROB, V73, P6386, DOI 10.1128/AEM.01309-07
BOWEN JD, 1993, LIMNOL OCEANOGR, V38, P36, DOI 10.4319/lo.1993.38.1.0036
Bull AT, 2007, TRENDS MICROBIOL, V15, P491, DOI 10.1016/j.tim.2007.10.004
Bull AT, 2000, MICROBIOL MOL BIOL R, V64, P573, DOI 10.1128/MMBR.64.3.573-606.2000
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
CLARKE KR, 1986, APPL ENVIRON MICROB, V51, P1110, DOI 10.1128/AEM.51.5.1110-1120.1986
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Curtis TP, 2002, P NATL ACAD SCI USA, V99, P10494, DOI 10.1073/pnas.142680199
Daniels R, 2004, FEMS MICROBIOL REV, V28, P261, DOI 10.1016/j.femsre.2003.09.004
Diggle SP, 2002, J BACTERIOL, V184, P2576, DOI 10.1128/JB.184.10.2576-2586.2002
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Ferrari BC, 2005, APPL ENVIRON MICROB, V71, P8714, DOI 10.1128/AEM.71.12.8714-8720.2005
Ferrari BC, 2008, NAT PROTOC, V3, P1261, DOI 10.1038/nprot.2008.102
Gilbert JA, 2008, ISME J, V2, P790, DOI 10.1038/ismej.2008.49
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Glöckner FO, 2010, MICROB BIOTECHNOL, V3, P523, DOI 10.1111/j.1751-7915.2010.00169.x
Griffin AS, 2004, NATURE, V430, P1024, DOI 10.1038/nature02744
Grossart HP, 2003, APPL ENVIRON MICROB, V69, P3500, DOI 10.1128/AEM.69.6.3500-3509.2003
Heidelberg KB, 2010, MICROB BIOTECHNOL, V3, P531, DOI 10.1111/j.1751-7915.2010.00193.x
HOBBIE JE, 1977, APPL ENVIRON MICROB, V33, P1225, DOI 10.1128/AEM.33.5.1225-1228.1977
Ivars-Martínez E, 2008, MOL ECOL, V17, P4092, DOI 10.1111/j.1365-294X.2008.03883.x
Joint I, 2002, SCIENCE, V298, P1207, DOI 10.1126/science.1077075
Joint I, 2008, ISME J, V2, P455, DOI 10.1038/ismej.2008.30
Joint I, 2007, PHILOS T R SOC B, V362, P1115, DOI 10.1098/rstb.2007.2038
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Kell DB, 2000, CURR OPIN MICROBIOL, V3, P238, DOI 10.1016/S1369-5274(00)00082-5
KOGURE K, 1979, CAN J MICROBIOL, V25, P415, DOI 10.1139/m79-063
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mühling M, 2008, ISME J, V2, P379, DOI 10.1038/ismej.2007.97
Parsek MR, 2005, TRENDS MICROBIOL, V13, P27, DOI 10.1016/j.tim.2004.11.007
Plugge CM, 2002, MICROBIAL ECOL, V43, P379, DOI 10.1007/s00248-001-0047-3
Pörtner R, 1998, APPL MICROBIOL BIOT, V50, P403, DOI 10.1007/s002530051312
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
REASONER DJ, 1979, APPL ENVIRON MICROB, V38, P229, DOI 10.1128/AEM.38.2.229-236.1979
Sanchez-Contreras M, 2007, PHILOS T R SOC B, V362, P1149, DOI 10.1098/rstb.2007.2041
SKINNER FA, 1952, J GEN MICROBIOL, V6, P261, DOI 10.1099/00221287-6-3-4-261
SLATER JH, 1982, PHILOS T R SOC B, V297, P575, DOI 10.1098/rstb.1982.0063
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Southward AJ, 2005, ADV MAR BIOL, V47, P1
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Tait K, 2009, ENVIRON MICROBIOL, V11, P1792, DOI 10.1111/j.1462-2920.2009.01904.x
Tamaki H, 2005, APPL ENVIRON MICROB, V71, P2162, DOI 10.1128/AEM.71.4.2162-2169.2005
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Williams P, 2007, PHILOS T R SOC B, V362, P1119, DOI 10.1098/rstb.2007.2039
Wisniewski-Dyé F, 2002, ANTON LEEUW INT J G, V81, P397, DOI 10.1023/A:1020501104051
Zengler K, 2002, P NATL ACAD SCI USA, V99, P15681, DOI 10.1073/pnas.252630999
Zengler K, 2005, METHOD ENZYMOL, V397, P124, DOI 10.1016/S0076-6879(05)97007-9
Zengler K, 1999, NATURE, V401, P266, DOI 10.1038/45777
Zobell CE, 1941, J MAR RES, V4, P42
NR 56
TC 171
Z9 184
PD SEP
PY 2010
VL 3
IS 5
SI SI
BP 564
EP 575
DI 10.1111/j.1751-7915.2010.00188.x
UT WOS:000289739300009
DA 2025-07-30
ER
PT J
AU Papale, M
Rappazzo, AC
Mikkonen, A
Rizzo, C
Moscheo, F
Conte, A
Michaud, L
Lo Giudice, A
AF Papale, Maria
Rappazzo, Alessandro Ciro
Mikkonen, Anu
Rizzo, Carmen
Moscheo, Federica
Conte, Antonella
Michaud, Luigi
Lo Giudice, Angelina
TI Bacterial Diversity in a Dynamic and Extreme Sub-Arctic Watercourse
(Pasvik River, Norwegian Arctic)
SO WATER
DT Article
AB Microbial communities promptly respond to the environmental perturbations, especially in the Arctic and sub-Arctic systems that are highly impacted by climate change, and fluctuations in the diversity level of microbial assemblages could give insights on their expected response. 16S rRNA gene amplicon sequencing was applied to describe the bacterial community composition in water and sediment through the sub-Arctic Pasvik River. Our results showed that river water and sediment harbored distinct communities in terms of diversity and composition at genus level. The distribution of the bacterial communities was mainly affected by both salinity and temperature in sediment samples, and by oxygen in water samples. Glacial meltwaters and runoff waters from melting ice probably influenced the composition of the bacterial community at upper and middle river sites. Interestingly, marine-derived bacteria consistently accounted for a small proportion of the total sequences and were also more prominent in the inner part of the river. Results evidenced that particular conditions occurring at sampling sites (such as algal blooms, heavy metal contamination and anaerobiosis) may select species at local scale from a shared bacterial pool, thus favoring certain bacterial taxa. Conversely, the few phylotypes specifically detected in some sites are probably due to localized external inputs introducing allochthonous microbial groups.
C1 [Papale, Maria; Rappazzo, Alessandro Ciro; Lo Giudice, Angelina] Natl Res Council CNR ISP, Inst Polar Sci, I-98122 Messina, Italy.
[Mikkonen, Anu] Univ Jyvaskyla, Nanosci Ctr, Dept Biol & Environm Sci, Jyvaskyla 40014, Finland.
[Rizzo, Carmen] Natl Inst Biol, Stn Zool Anton Dohrn, Dept BIOTECH, I-98167 Messina, Italy.
[Moscheo, Federica; Conte, Antonella; Michaud, Luigi] Univ Messina, Dept Chem Biol Pharmaceut & Environm Sci, I-98122 Messina, Italy.
RP Lo Giudice, A (corresponding author), Natl Res Council CNR ISP, Inst Polar Sci, I-98122 Messina, Italy.
EM maria.papale@isp.cnr.it; rappale@libero.com; anu.mikkonen@helsinki.fi;
carmen.rizzo@szn.it; fede-mo@live.it; conte.antonella@outlook.com;
lmichaud@unime.it; angelina.logiudice@cnr.it
CR Amundsen PA, 1997, SCI TOTAL ENVIRON, V201, P211, DOI 10.1016/S0048-9697(97)84058-2
Balmonte JP, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01441
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Cameron KA, 2017, MICROB ECOL, V74, P6, DOI 10.1007/s00248-016-0926-2
Caputo S, 2019, ARCH ENVIRON CON TOX, V77, P291, DOI 10.1007/s00244-019-00628-7
Cavaco MA, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz161
Conte A, 2018, SCI TOTAL ENVIRON, V619, P203, DOI 10.1016/j.scitotenv.2017.11.077
Crump BC, 2005, LIMNOL OCEANOGR, V50, P1718, DOI 10.4319/lo.2005.50.6.1718
Denef VJ, 2016, APPL ENVIRON MICROB, V82, P1423, DOI 10.1128/AEM.03014-15
Díez-Vives C, 2019, MOL ECOL, V28, P2846, DOI 10.1111/mec.15068
Dubnick A, 2017, J GEOPHYS RES-BIOGEO, V122, P1049, DOI 10.1002/2016JG003685
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Foesel BU, 2013, SYST APPL MICROBIOL, V36, P82, DOI 10.1016/j.syapm.2012.11.002
Fortunato CS, 2013, ISME J, V7, P1899, DOI 10.1038/ismej.2013.79
Fouhy F, 2016, BMC MICROBIOL, V16, DOI 10.1186/s12866-016-0738-z
Garneau ME, 2006, AQUAT MICROB ECOL, V42, P27, DOI 10.3354/ame042027
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Golebiewski M, 2017, ENV MICROBIOL REP, V9, P129, DOI 10.1111/1758-2229.12509
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P1358, DOI 10.1099/ijs.0.013292-0
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Hauptmann AL, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01474
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Jain A, 2017, J BASIC MICROB, V57, P827, DOI 10.1002/jobm.201700216
Jezberova J, 2010, ENVIRON MICROBIOL, V12, P658, DOI 10.1111/j.1462-2920.2009.02106.x
Jung YJ, 2015, INT J SYST EVOL MICR, V65, P1735, DOI 10.1099/ijs.0.000168
Kielak AM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00744
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
Koenig JE, 2011, P NATL ACAD SCI USA, V108, P4578, DOI 10.1073/pnas.1000081107
Kolda A, 2019, ECOHYDROLOGY, V12, DOI 10.1002/eco.2063
Laganà P, 2018, ENVIRON SCI POLLUT R, V25, P1089, DOI 10.1007/s11356-017-0485-1
Lim JH, 2009, INT J SYST EVOL MICR, V59, P2394, DOI 10.1099/ijs.0.009480-0
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Mikhailyuk T, 2019, PHYTOTAXA, V400, P165, DOI 10.11646/phytotaxa.400.3.4
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mousavi SK, 2003, SCI TOTAL ENVIRON, V307, P93
Mueller DR, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017931
Ngugi DK, 2018, GENOME ANNOUNCEMENTS, V6, DOI 10.1128/genomeA.00565-18
Niño-García JP, 2016, ISME J, V10, P1755, DOI 10.1038/ismej.2015.226
Palacin-Lizarbe C, 2018, WATER RESOUR RES, V54, P1161, DOI 10.1002/2017WR021680
Parrilli E, 2021, PHYS LIFE REV, V36, P137, DOI 10.1016/j.plrev.2019.04.003
Peng M, 2015, INT J ENV RES PUB HE, V12, P12002, DOI 10.3390/ijerph121012002
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappazzo AC, 2019, MAR POLLUT BULL, V141, P535, DOI 10.1016/j.marpolbul.2019.01.070
Rastogi G, 2011, MICROBES AND MICROBIAL TECHNOLOGY: AGRICULTURAL AND ENVIRONMENTAL APPLICATIONS, P29, DOI 10.1007/978-1-4419-7931-5_2
Rott E, 2014, SCI TOTAL ENVIRON, V475, P180, DOI 10.1016/j.scitotenv.2013.08.050
Ruiz-González C, 2015, ECOL LETT, V18, P1198, DOI 10.1111/ele.12499
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Schloss PD, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027310
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
Tamames J, 2010, BMC MICROBIOL, V10, DOI 10.1186/1471-2180-10-85
Vincent W.F., 2012, Ecology of Cyanobacteria II: Their Diversity in Space and Time, P371, DOI DOI 10.1007/978-94-007-3855-3_13
Xu R, 2020, SCI TOTAL ENVIRON, V713, DOI 10.1016/j.scitotenv.2019.136451
Yu S, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.849
Zhong YL, 2020, INT J SYST EVOL MICR, V70, P3528, DOI 10.1099/ijsem.0.004210
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 56
TC 13
Z9 13
PD NOV
PY 2020
VL 12
IS 11
AR 3098
DI 10.3390/w12113098
UT WOS:000594236600001
DA 2025-07-30
ER
PT J
AU Liu, L
Chen, Q
Chen, JX
Chen, NW
Zhong, KX
Zheng, Q
AF Liu, Lu
Chen, Qi
Chen, Jiaxin
Chen, Nengwang
Zhong, Kevin Xu
Zheng, Qiang
TI Role of virus-mediated lysis in spatiotemporal dynamics of prokaryotic
communities in river-estuary-coastal ecosystems
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Viral lysis accounts for approximately 50% of prokaryotic mortality, significantly influencing the diversity, composition, and succession of prokaryotic communities. Despite its importance, the specific influence of viral lysis on seasonal dynamics within aquatic ecosystems remains poorly understood. In this study, we investigated the seasonal dynamics of prokaryotes in the river-estuary-coastal ecosystem surrounding Xiamen Island and explored the environmental factors and virus-mediated cell lysis driving microbial seasonal successions across spatiotemporal scales. A taxon-specific cell lysis was applied to evaluate the contribution of viral lysis to seasonal variations in prokaryotes. Our findings revealed distinct spatiotemporal successions within the prokaryotic community structure, where temporal-related factors, spatial-related factors, and virus-mediated cell lysis contribute comparably to the seasonal variation of prokaryotes. The viral lysis controls on prokaryotic structures were determined by a significant negative correlation between the total microbial community and the cell lysis index (CLI) from amplicon sequence variant (ASV) to order levels. Viral lytic shaping on prokaryotic communities was more pronounced in the estuary-coastal compared to the river region, with similar seasonal variations noted. Specific ASVs, such as ASV3 (Nitrosopumilales), ASV2 (Synechococcales), ASV16 (Nitrosopumilales), and ASV17 (Oceanospirillales) were significantly correlated with CLI, highlighting the pivotal role of viral lysis in their seasonal succession. This study highlights the intricate interplay between microbial populations and viral lysis across spatiotemporal scales, enhancing our understanding of how top-down (virus-mediated cell lysis) and bottom-up (environmental factors) controls drive the seasonal variations in prokaryotic communities.
C1 [Liu, Lu; Chen, Qi; Chen, Jiaxin; Zheng, Qiang] Xiamen Univ, Inst Marine Microbes & Ecospheres, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Liu, Lu; Chen, Qi; Chen, Jiaxin; Zheng, Qiang] Xiamen Univ, Fujian Key Lab Marine Carbon Sequestrat, Xiamen, Peoples R China.
[Chen, Qi] Oregon State Univ, Dept Microbiol, Corvallis, OR USA.
[Chen, Nengwang] Xiamen Univ, Coll Environm & Ecol, Fujian Prov Key Lab Coastal Ecol & Environm Studie, Xiamen, Peoples R China.
[Zhong, Kevin Xu] Univ British Columbia, Dept Earth Ocean & Atmospher Sci, Vancouver, BC, Canada.
RP Zheng, Q (corresponding author), Xiamen Univ, Inst Marine Microbes & Ecospheres, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.; Zheng, Q (corresponding author), Xiamen Univ, Fujian Key Lab Marine Carbon Sequestrat, Xiamen, Peoples R China.
EM zhengqiang@xmu.edu.cn
CR Alonso-Sáez L, 2018, ISME J, V12, P2100, DOI 10.1038/s41396-018-0185-y
Auguet JC, 2005, MICROB ECOL, V50, P337, DOI 10.1007/s00248-005-0183-2
Auladell A, 2022, ISME J, V16, P178, DOI 10.1038/s41396-021-01053-2
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Beckett SJ, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-46165-3
Bettarel Y, 2011, FEMS MICROBIOL ECOL, V76, P360, DOI 10.1111/j.1574-6941.2011.01054.x
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Cai LL, 2022, WATER RES, V226, DOI 10.1016/j.watres.2022.119237
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Carlson MCG, 2022, NAT MICROBIOL, V7, P570, DOI 10.1038/s41564-022-01088-x
Chen Q, 2021, ENVIRON INT, V154, DOI 10.1016/j.envint.2021.106558
Chen XW, 2019, WATER RES, V160, P118, DOI 10.1016/j.watres.2019.05.051
Crabot J, 2019, METHODS ECOL EVOL, V10, P532, DOI 10.1111/2041-210X.13141
Cram JA, 2016, LIMNOL OCEANOGR, V61, P889, DOI 10.1002/lno.10259
Dion MB, 2020, NAT REV MICROBIOL, V18, P125, DOI 10.1038/s41579-019-0311-5
Evans C, 2003, AQUAT MICROB ECOL, V30, P207, DOI 10.3354/ame030207
Flores GE, 2011, ENVIRON MICROBIOL, V13, P2158, DOI 10.1111/j.1462-2920.2011.02463.x
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Glassman SI, 2017, MOL ECOL, V26, P6960, DOI 10.1111/mec.14414
Grace JB, 2012, ECOSPHERE, V3, DOI 10.1890/ES12-00048.1
Heiberger RM, 2020, HH STAT ANAL DATA DI, DOI DOI 10.1007/978-1-4939-2122-5
Herber J, 2020, ENVIRON MICROBIOL, V22, P212, DOI 10.1111/1462-2920.14840
HOBBIE JE, 1988, LIMNOL OCEANOGR, V33, P750, DOI 10.4319/lo.1988.33.4_part_2.0750
Jansson JK, 2023, NAT REV MICROBIOL, V21, P296, DOI 10.1038/s41579-022-00811-z
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
Jiao NZ, 2005, CONT SHELF RES, V25, P1265, DOI 10.1016/j.csr.2005.01.002
Joswig JS, 2022, NAT ECOL EVOL, V6, P36, DOI 10.1038/s41559-021-01616-8
Jover LF, 2014, NAT REV MICROBIOL, V12, P519, DOI 10.1038/nrmicro3289
Kimura K, 2017, AQUAT MICROB ECOL, V79, P79, DOI 10.3354/ame01818
Kirchman DL, 2016, AQUAT MICROB ECOL, V78, P93, DOI 10.3354/ame01805
Kivlin SN, 2020, ECOLOGY, V101, DOI 10.1002/ecy.2985
Knap A., 1996, JGOFS REPRINT IOC MA
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Liang J, 2025, WATER RES, V268, DOI 10.1016/j.watres.2024.122556
Liang XL, 2021, SCI TOTAL ENVIRON, V787, DOI 10.1016/j.scitotenv.2021.147589
Liu L, 2023, APPL ENVIRON MICROB, V89, DOI 10.1128/aem.01393-23
Liu SW, 2022, ECOL INDIC, V136, DOI 10.1016/j.ecolind.2022.108695
Logares R, 2015, RES MICROBIOL, V166, P831, DOI 10.1016/j.resmic.2015.09.009
Long AM, 2016, ISME J, V10, P1602, DOI 10.1038/ismej.2015.240
López-Pérez M, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00605-20
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
Lu J, 2001, APPL ENVIRON MICROB, V67, P3285, DOI 10.1128/AEM.67.7.3285-3290.2001
Martin BD, 2020, ANN APPL STAT, V14, P94, DOI [10.1214/19-aoas1283, 10.1214/19-AOAS1283]
Mohapatra M, 2023, SCI TOTAL ENVIRON, V879, DOI 10.1016/j.scitotenv.2023.163109
Mojica KDA, 2014, FEMS MICROBIOL ECOL, V89, P495, DOI 10.1111/1574-6941.12343
Morris RM, 2020, NAT MICROBIOL, V5, P1011, DOI 10.1038/s41564-020-0725-x
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Oksanen J., 2010, Vegan: Community ecology package
Paradis E, 2004, BIOINFORMATICS, V20, P289, DOI [10.1093/bioinformatics/btg412, 10.1093/bioinformatics/bty633]
Parikka KJ, 2017, BIOL REV, V92, P1081, DOI 10.1111/brv.12271
Payet JP, 2013, LIMNOL OCEANOGR, V58, P465, DOI 10.4319/lo.2013.58.2.0465
Pedersen EJ, 2019, PEERJ, V7, DOI 10.7717/peerj.6876
Personnic S, 2009, J PLANKTON RES, V31, P1161, DOI 10.1093/plankt/fbp057
Piedade GJ, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-024-53317-y
Pittera J, 2014, ISME J, V8, P1221, DOI 10.1038/ismej.2013.228
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Ram ASP, 2016, MICROB ECOL, V72, P347, DOI 10.1007/s00248-016-0782-0
Righetti D, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau6253
Roberts DW., 2016, Ordination and Multivariate
Sakowski EG, 2021, NAT MICROBIOL, V6, P630, DOI 10.1038/s41564-021-00873-4
Suttle C.A., 2000, The ecology of cyanobacteria: their diversity in time and space, DOI [DOI 10.1007/0-306-46855-720, DOI 10.1007/0-306-46855-7_20]
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 2016, NATURE, V531, P454, DOI 10.1038/nature17303
Thomas R, 2011, ENVIRON MICROBIOL, V13, P616, DOI 10.1111/j.1462-2920.2010.02364.x
Thompson AW, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00074-4
Tian FN, 2024, MICROBIOME, V12, DOI 10.1186/s40168-024-01876-z
Tong D, 2023, ISME J, V17, P1247, DOI 10.1038/s41396-023-01438-5
Tsai AY, 2013, J PLANKTON RES, V35, P1283, DOI 10.1093/plankt/fbt074
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Wang K, 2011, APPL ENVIRON MICROB, V77, P7459, DOI 10.1128/AEM.00267-11
Wickham H., 2016, ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics, P1189
Xenopoulos MA, 2017, LIMNOL OCEANOGR, V62, pS3, DOI 10.1002/lno.10721
Xu GF, 2023, ISME J, V17, P660, DOI 10.1038/s41396-023-01377-1
Ya ML, 2021, WATER RES, V198, DOI 10.1016/j.watres.2021.117134
Yan M, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-41075-2
Yang JW, 2023, MSYSTEMS, V8, DOI 10.1128/msystems.01017-22
Yeh YC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-35551-4
Zang ZF, 2024, SCI TOTAL ENVIRON, V930, DOI 10.1016/j.scitotenv.2024.172767
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhong KX, 2023, ISME J, V17, P105, DOI 10.1038/s41396-022-01327-3
Zimmerman AE, 2020, NAT REV MICROBIOL, V18, P21, DOI 10.1038/s41579-019-0270-x
NR 82
TC 0
Z9 0
PD JUN
PY 2025
VL 70
IS 6
BP 1518
EP 1534
DI 10.1002/lno.70051
EA APR 2025
UT WOS:001469738500001
DA 2025-07-30
ER
PT J
AU Neuenschwander, SM
Ghai, R
Pernthaler, J
Salcher, MM
AF Neuenschwander, Stefan M.
Ghai, Rohit
Pernthaler, Jakob
Salcher, Michaela M.
TI Microdiversification in genome-streamlined ubiquitous freshwater
Actinobacteria
SO ISME JOURNAL
DT Article
AB Actinobacteria of the acI lineage are the most abundant microbes in freshwater systems, but there are so far no pure living cultures of these organisms, possibly because of metabolic dependencies on other microbes. This, in turn, has hampered an in-depth assessment of the genomic basis for their success in the environment. Here we present genomes from 16 axenic cultures of acI Actinobacteria. The isolates were not only of minute cell size, but also among the most streamlined free-living microbes, with extremely small genome sizes (1.2-1.4 Mbp) and low genomic GC content. Genome reduction in these bacteria might have led to auxotrophy for various vitamins, amino acids and reduced sulphur sources, thus creating dependencies to co-occurring organisms (the ` Black Queen' hypothesis). Genome analyses, moreover, revealed a surprising degree of inter-and intraspecific diversity in metabolic pathways, especially of carbohydrate transport and metabolism, and mainly encoded in genomic islands. The striking genotype microdiversification of acI Actinobacteria might explain their global success in highly dynamic freshwater environments with complex seasonal patterns of allochthonous and autochthonous carbon sources. We propose a new order within Actinobacteria ('Candidatus Nanopelagicales') with two new genera ('Candidatus Nanopelagicus' and 'Candidatus Planktophila') and nine new species.
C1 [Neuenschwander, Stefan M.; Pernthaler, Jakob; Salcher, Michaela M.] Univ Zurich, Inst Microbial & Plant Biol, Limnol Stn, Zurich, Switzerland.
[Ghai, Rohit; Salcher, Michaela M.] CAS, Biol Ctr, Inst Hydrobiol, Ceske Budejovice, Czech Republic.
RP Salcher, MM (corresponding author), Univ Zurich, Inst Plant & Microbial Biol, Limnol Stn, Seestr 187, CH-8802 Zurich, Switzerland.
EM michaelasalcher@gmail.com
CR Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
Beutler M, 2002, PHOTOSYNTH RES, V72, P39, DOI 10.1023/A:1016026607048
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Buck U, 2009, ENVIRON MICROBIOL, V11, P1854, DOI 10.1111/j.1462-2920.2009.01910.x
Burkert U, 2003, APPL ENVIRON MICROB, V69, P6550, DOI 10.1128/AEM.69.11.6550-6559.2003
Coil D, 2015, BIOINFORMATICS, V31, P587, DOI 10.1093/bioinformatics/btu661
Eckert EM, 2013, ENVIRON MICROBIOL, V15, P2019, DOI 10.1111/1462-2920.12083
Eckert EM, 2012, ENVIRON MICROBIOL, V14, P794, DOI 10.1111/j.1462-2920.2011.02639.x
Fitzsimons MS, 2013, GENOME RES, V23, P878, DOI 10.1101/gr.142208.112
Garcia SL, 2015, MOL ECOL, V24, P4449, DOI 10.1111/mec.13319
Garcia SL, 2013, ISME J, V7, P137, DOI 10.1038/ismej.2012.86
Ghai R, 2017, ISME J, V11, P304, DOI 10.1038/ismej.2016.110
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
Goris J, 2007, INT J SYST EVOL MICR, V57, P81, DOI 10.1099/ijs.0.64483-0
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hahn MW, 2014, INT J SYST EVOL MICR, V64, P3254, DOI 10.1099/ijs.0.065292-0
Hoetzinger M, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.02266-16
Jezbera J, 2009, INT J SYST EVOL MICR, V59, P2864, DOI 10.1099/ijs.0.010199-0
Kanehisa M, 2016, J MOL BIOL, V428, P726, DOI 10.1016/j.jmb.2015.11.006
Kang I, 2017, SCI REP-UK, V7, DOI 10.1038/srep42252
Kang I, 2012, J BACTERIOL, V194, P3550, DOI 10.1128/JB.00586-12
Keffer JL, 2015, J BACTERIOL, V197, P2704, DOI 10.1128/JB.00386-15
Knowles B, 2016, NATURE, V531, P466, DOI 10.1038/nature17193
Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
Lassmann T, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-298
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Luo HW, 2015, MOL BIOL EVOL, V32, P2738, DOI 10.1093/molbev/msv149
Marchler-Bauer A, 2015, NUCLEIC ACIDS RES, V43, pD222, DOI 10.1093/nar/gku1221
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
MUYZER G, 1995, ARCH MICROBIOL, V164, P165, DOI 10.1007/BF02529967
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Neuenschwander SM, 2015, ENVIRON MICROBIOL, V17, P781, DOI 10.1111/1462-2920.12520
Newton RJ, 2007, APPL ENVIRON MICROB, V73, P7169, DOI 10.1128/AEM.00794-07
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Perez MT, 2006, LIMNOL OCEANOGR, V51, P2527, DOI 10.4319/lo.2006.51.6.2527
Pérez MT, 2015, ENV MICROBIOL REP, V7, P265, DOI 10.1111/1758-2229.12240
Pérez MT, 2010, ENVIRON MICROBIOL, V12, P74, DOI 10.1111/j.1462-2920.2009.02043.x
Posch T, 2012, NAT CLIM CHANGE, V2, P809, DOI [10.1038/NCLIMATE1581, 10.1038/nclimate1581]
Posch T, 2009, AQUAT MICROB ECOL, V54, P113, DOI 10.3354/ame01269
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Qin QL, 2014, J BACTERIOL, V196, P2210, DOI 10.1128/JB.01688-14
Rodriguez R-LM, 2014, MICROBE, V9, P111
Rodriguez-Valera F, 2009, NAT REV MICROBIOL, V7, P828, DOI 10.1038/nrmicro2235
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Salcher MM, 2014, J LIMNOL, V73, P74, DOI 10.4081/jlimnol.2014.813
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Schmieder R, 2011, BIOINFORMATICS, V27, P863, DOI 10.1093/bioinformatics/btr026
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Sen A, 2014, INT J SYST EVOL MICR, V64, P3821, DOI 10.1099/ijs.0.063966-0
Simek K, 2014, LIMNOL OCEANOGR, V59, P1477, DOI 10.4319/lo.2014.59.5.1477
Simek K, 2013, ISME J, V7, P1519, DOI 10.1038/ismej.2013.57
Stamatakis A, 2005, CONCURR COMP-PRACT E, V17, P1705, DOI 10.1002/cpe.954
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stocker R, 2012, SCIENCE, V338, P628, DOI 10.1126/science.1208929
Tarao M, 2009, APPL ENVIRON MICROB, V75, P4720, DOI 10.1128/AEM.00251-09
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tritt A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042304
Untergasser A, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gks596
Vergin KL, 2007, ENVIRON MICROBIOL, V9, P2430, DOI 10.1111/j.1462-2920.2007.01361.x
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Zeder M, 2009, CYTOM PART A, V75A, P781, DOI 10.1002/cyto.a.20770
Zhao X, 2016, APPL ENVIRON MICROB, V83
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 74
TC 152
Z9 159
PD JAN
PY 2018
VL 12
IS 1
BP 185
EP 198
DI 10.1038/ismej.2017.156
UT WOS:000418293300015
DA 2025-07-30
ER
PT J
AU Hill, PG
Warwick, PE
Zubkov, MV
AF Hill, Polly G.
Warwick, Phillip E.
Zubkov, Mikhail V.
TI Low microbial respiration of leucine at ambient oceanic concentration in
the mixed layer of the central Atlantic Ocean
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Bacterioplankton are the primary consumers of dissolved organic matter in the ocean, thus the quantification of bacterioplankton production (BP) is essential to our understanding of carbon cycling in the largest ecosystems on Earth. We compared BP, measured as the rate of C-14-leucine or H-3-leucine uptake at close to saturating concentration (20 nmol L-1), with ambient uptake measured from dilution bioassays. We hypothesized that saturation with leucine would lead to its respiration as a carbon source, thereby not truly representing ambient BP. Seawater was collected from the photic zone throughout the Atlantic Ocean. Respiration as a proportion of total consumption (uptake + respiration) of close to ambient (0.4 nmol L-1) and close to saturating (20 nmol L-1) C-14-leucine concentrations were compared. Saturating H-3-leucine additions overestimated ambient leucine uptake at low rates (200% +/- 100% ambient) and underestimated uptake at high rates (90% + 20% ambient). The proportion of total leucine uptake that was respired was threefold higher for 20 nmol L-1 C-14-leucine additions than 0.4 nmol L-1 C-14-leucine additions (15% +/- 8% and 5% +/- 4%, respectively). Consequently, microbial efficiency of leucine assimilation-an indicator of bacterioplankton growth efficiency-was significantly higher and more stable at close to ambient C-14-leucine additions than at saturating concentrations (95% +/- 4% and 85% +/- 8%, respectively). Thus, saturation of oligotrophic open Atlantic Ocean bacterioplankton with leucine, or other molecules indicative of microbial metabolism, leads to the measurement of a response to a nutrient addition, rather than an ambient measurement.
C1 [Hill, Polly G.; Zubkov, Mikhail V.] Natl Oceanog Ctr, Southampton, Hants, England.
[Warwick, Phillip E.] Univ Southampton, Natl Oceanog Ctr, Southampton, Hants, England.
RP Zubkov, MV (corresponding author), Natl Oceanog Ctr, European Way, Southampton, Hants, England.
EM mvz@noc.ac.uk
CR Alonso-Sáez L, 2007, LIMNOL OCEANOGR, V52, P533, DOI 10.4319/lo.2007.52.2.0533
Alonso-Sáez L, 2010, ENVIRON MICROBIOL, V12, P2988, DOI 10.1111/j.1462-2920.2010.02276.x
CRAWFORD CC, 1974, ECOLOGY, V55, P551, DOI 10.2307/1935146
del Giorgio PA, 2011, LIMNOL OCEANOGR, V56, P1, DOI 10.4319/lo.2011.56.1.0001
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
GIOVANNONI SJ, 2005, NATURE, V309, P1242, DOI DOI 10.1126/SCIENCE.1114057
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Heywood JL, 2006, DEEP-SEA RES PT II, V53, P1530, DOI 10.1016/j.dsr2.2006.05.005
Hill PG, 2011, PROG OCEANOGR, V91, P437, DOI 10.1016/j.pocean.2011.05.006
HOBBIE JE, 1969, LIMNOL OCEANOGR, V14, P528, DOI 10.4319/lo.1969.14.4.0528
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Mary I, 2008, ENVIRON MICROBIOL, V10, P2124, DOI 10.1111/j.1462-2920.2008.01633.x
Mary I, 2008, FEMS MICROBIOL ECOL, V63, P36, DOI 10.1111/j.1574-6941.2007.00414.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
WRIGHT RT, 1966, ECOLOGY, V47, P447, DOI 10.2307/1932984
Zubkov MV, 2008, J PLANKTON RES, V30, P211, DOI 10.1093/plankt/fbm091
Zubkov MV, 2007, ENVIRON MICROBIOL, V9, P2079, DOI 10.1111/j.1462-2920.2007.01324.x
Zubkov MV, 1998, FEMS MICROBIOL ECOL, V27, P85, DOI 10.1016/S0168-6496(98)00059-2
NR 24
TC 16
Z9 19
PD SEP
PY 2013
VL 58
IS 5
BP 1597
EP 1604
DI 10.4319/lo.2013.58.5.1597
UT WOS:000327393800005
DA 2025-07-30
ER
PT J
AU Ismail, N
Almutairi, A
AF Ismail, Nasra
Almutairi, Awatef
TI Bacterioplankton Community Profiling of the Surface Waters of Kuwait
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB The marine waters of Kuwait are highly dynamic and strongly influenced by extreme environmental conditions and high levels of anthropogenic activities. This study explored the bacterioplankton community composition and diversity in Kuwait Bay and at four offshore sites close to urbanized coastal areas during two seasons, autumn (October) and spring (April). 16S rRNA amplicon sequencing detected higher bacterial diversity and richness in spring than in autumn. Also, bacterial community beta diversity revealed a significant seasonal partitioning between the two sampling periods but no clear spatial variation could be depicted. Alphaproteobacteria, Gammaproteobacteria, Cyanobacteria, Flavobacteriia, and Acidimicrobiia dominated the seasonal samples, and SARII clade Ia, SARII clade II, Synechococcus, and SUP05 cluster were among the most abundant taxa in the seasonal samples. However, the strong temporal shift in bacterial community composition was related to Synechococcus abundance. The prevailing physicochemical parameters displayed a significant influence on the bacterioplankton community composition, which was mainly driven by shifts in temperature and nutrient inputs. Furthermore, functional prediction by PICRUSt analysis revealed a relatively stable conserved functional profile in Kuwait's waters. However, functional genes related to membrane transport were enriched in eutrophic spring waters, while photosynthetic genes were enriched in autumn. Our results provide in-depth insights into the temporal and spatial variations of bacterioplankton dynamics in Kuwait waters and highlight the strong seasonal influence of natural and anthropogenic stressors on their composition and predicted functional capabilities.
C1 [Ismail, Nasra; Almutairi, Awatef] Kuwait Univ, Dept Biol Sci, Fac Sci, Safat, Kuwait.
RP Almutairi, A (corresponding author), Kuwait Univ, Dept Biol Sci, Fac Sci, Safat, Kuwait.
EM a.almutairi@ku.edu.kw
CR Al-Abdulghani E, 2013, J COAST CONSERV, V17, P445, DOI 10.1007/s11852-013-0242-7
Al-Awadhi H, 2007, APPL MICROBIOL BIOT, V77, P183, DOI 10.1007/s00253-007-1127-1
Al-Awadhi H, 2012, ARCH MICROBIOL, V194, P689, DOI 10.1007/s00203-012-0800-7
Al-Bader D, 2011, KUWAIT J SCI ENG, V38, P163
Al-Ghadban A., 2002, Technology, V8, P7
Al-Hasan RH, 2001, J APPL MICROBIOL, V91, P533, DOI 10.1046/j.1365-2672.2001.01414.x
Al-Mailem DM, 2013, EXTREMOPHILES, V17, P463, DOI 10.1007/s00792-013-0530-z
Al-Mailem DM, 2010, EXTREMOPHILES, V14, P321, DOI 10.1007/s00792-010-0312-9
Al-Said T, 2019, MAR POLLUT BULL, V148, P30, DOI 10.1016/j.marpolbul.2019.07.054
Al-Sarawi HA, 2015, MAR POLLUT BULL, V100, P621, DOI 10.1016/j.marpolbul.2015.07.052
Al-Yamani F. Y., 2004, Oceanographic atlas of Kuwait's waters.
Al-Yamani F, 2019, DEEP-SEA RES PT II, V161, P72, DOI 10.1016/j.dsr2.2018.10.003
Al-Yamani F, 2012, AQUAT ECOSYST HEALTH, V15, P64, DOI 10.1080/14634988.2012.679450
Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Almutairi A, 2015, MAR POLLUT BULL, V100, P699, DOI 10.1016/j.marpolbul.2015.09.016
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Andersson AF, 2010, ISME J, V4, P171, DOI 10.1038/ismej.2009.108
Andreotti R, 2011, BMC MICROBIOL, V11, DOI 10.1186/1471-2180-11-6
Arora-Williams K, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0556-7
Azam F, 2004, SCIENCE, V303, P1622, DOI 10.1126/science.1093892
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bryson S, 2017, ISME J, V11, P2781, DOI 10.1038/ismej.2017.128
Bunse C, 2017, TRENDS MICROBIOL, V25, P494, DOI 10.1016/j.tim.2016.12.013
Cabral L, 2016, ENVIRON POLLUT, V216, P460, DOI 10.1016/j.envpol.2016.05.078
Campbell AM, 2015, MICROBIOLOGYOPEN, V4, P390, DOI 10.1002/mbo3.245
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Chafee M, 2018, ISME J, V12, P237, DOI 10.1038/ismej.2017.165
Chow CET, 2013, ISME J, V7, P2259, DOI 10.1038/ismej.2013.122
Church MJ., 2009, Microbial Ecology of the Oceans
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Coulon F, 2007, ENVIRON MICROBIOL, V9, P177, DOI 10.1111/j.1462-2920.2006.01126.x
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Dai WF, 2017, CHEMOSPHERE, V177, P317, DOI 10.1016/j.chemosphere.2017.03.034
Davidson AL, 2004, ANNU REV BIOCHEM, V73, P241, DOI 10.1146/annurev.biochem.73.011303.073626
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Delpech LM, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.614634
Devlin MJ, 2015, MAR POLLUT BULL, V100, P607, DOI 10.1016/j.marpolbul.2015.10.022
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Field CB, 1998, SCIENCE, V281, P237, DOI 10.1126/science.281.5374.237
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Fodelianakis S, 2014, APPL ENVIRON MICROB, V80, P3784, DOI 10.1128/AEM.00088-14
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2009, ENVIRON MICROBIOL, V11, P3132, DOI 10.1111/j.1462-2920.2009.02017.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Gutierrez T, 2014, APPL ENVIRON MICROB, V80, P618, DOI 10.1128/AEM.03104-13
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Hazen TC, 2016, ENVIRON SCI TECHNOL, V50, P2121, DOI 10.1021/acs.est.5b03333
Heinrich F, 2013, AQUAT MICROB ECOL, V70, P33, DOI 10.3354/ame01637
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Jeffries TC, 2016, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01438
Jiao NZ, 2011, APPL ENVIRON MICROB, V77, P7439, DOI 10.1128/AEM.05640-11
Jones SE, 2009, ENVIRON MICROBIOL, V11, P2463, DOI 10.1111/j.1462-2920.2009.01977.x
Kirchman DL, 2016, AQUAT MICROB ECOL, V78, P93, DOI 10.3354/ame01805
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kopprio GA, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107067
Kwon KK, 2006, INT J SYST EVOL MICR, V56, P727, DOI 10.1099/ijs.0.64073-0
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Lefort T, 2013, AQUAT MICROB ECOL, V70, P111, DOI 10.3354/ame01643
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Logares R, 2010, MOL BIOL EVOL, V27, P347, DOI 10.1093/molbev/msp239
Lomnitz U, 2016, BIOGEOSCIENCES, V13, P1367, DOI 10.5194/bg-13-1367-2016
Lyons BP, 2015, MAR POLLUT BULL, V100, P689, DOI 10.1016/j.marpolbul.2015.07.043
Mahmoud HM, 2009, INT BIODETER BIODEGR, V63, P615, DOI 10.1016/j.ibiod.2009.04.005
Mahmoud H, 2010, ENVIRON SCI POLLUT R, V17, P383, DOI 10.1007/s11356-009-0099-3
Mason OU, 2012, ISME J, V6, P1715, DOI 10.1038/ismej.2012.59
Mattes TE, 2013, ISME J, V7, P2349, DOI 10.1038/ismej.2013.113
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nasrallah HA, 2004, J ARID ENVIRON, V56, P357, DOI 10.1016/S0140-1963(03)00007-7
Nicolaus EEM, 2017, MAR POLLUT BULL, V120, P422, DOI 10.1016/j.marpolbul.2017.04.031
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Parks DH, 2014, BIOINFORMATICS, V30, P3123, DOI 10.1093/bioinformatics/btu494
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Perryman SE, 2011, MICROB ECOL, V61, P932, DOI 10.1007/s00248-011-9833-8
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
Polikarpov I, 2020, DEEP-SEA RES PT II, V179, DOI 10.1016/j.dsr2.2020.104810
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Quero GM, 2014, MAR GENOM, V17, P9, DOI 10.1016/j.margen.2014.04.002
Radwan SS, 2005, INT BIODETER BIODEGR, V56, P28, DOI 10.1016/j.ibiod.2005.03.007
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Richa K, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.00494-17
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Salter I, 2015, ISME J, V9, P347, DOI 10.1038/ismej.2014.129
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Shah V, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.01156-15
Sheppard C, 2010, MAR POLLUT BULL, V60, P13, DOI 10.1016/j.marpolbul.2009.10.017
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Somee MR, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-90735-0
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Staley C, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00414
Statham PJ, 2012, SCI TOTAL ENVIRON, V434, P213, DOI 10.1016/j.scitotenv.2011.09.088
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Vergin KL, 1998, APPL ENVIRON MICROB, V64, P3075
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Wang WP, 2020, ISME J, V14, P1994, DOI 10.1038/s41396-020-0662-y
WATERBURY J B, 1986, Canadian Bulletin of Fisheries and Aquatic Sciences, P71
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Yang YZ, 2019, ENVIRON POLLUT, V245, P290, DOI 10.1016/j.envpol.2018.11.002
Zimmer-Faust AG, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.674214
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 120
TC 6
Z9 6
PD APR 19
PY 2022
VL 9
AR 838101
DI 10.3389/fmars.2022.838101
UT WOS:000793313400001
DA 2025-07-30
ER
PT J
AU Våge, S
Pree, B
Thingstad, TF
AF Vage, Selina
Pree, Bernadette
Thingstad, T. Frede
TI Linking internal and external bacterial community control gives
mechanistic framework for pelagic virus-to-bacteria ratios
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB For more than 25 years, virus-to-bacteria ratios (VBR) have been measured and interpreted as indicators of the importance of viruses in aquatic ecosystems, yet a generally accepted theory for understanding mechanisms controlling VBR is still lacking. Assuming that the denominator (total bacterial abundance) is primarily predator controlled, while viral lysis compensates for host growth rates exceeding this grazing loss, the numerator (viral abundance) reflects activity differences between prokaryotic hosts. VBR is then a ratio between mechanisms generating structure within the bacterial community and interactions between different plankton functional types controlling bacterial community size. We here show how these arguments can be formalized by combining a recently published model for co-evolutionary host-virus interactions, with a previously published "minimum" model for the microbial food web. The result is a framework where viral lysis links bacterial diversity to microbial food web structure and function, creating relationships between different levels of organization that are strongly modified by organism-level properties such as cost of resistance.
C1 [Vage, Selina] Univ Bergen, Dept Biol, N-5020 Bergen, Norway.
Hjort Ctr Marine Ecosyst Dynam, N-5020 Bergen, Norway.
RP Våge, S (corresponding author), Univ Bergen, Dept Biol, N-5020 Bergen, Norway.
EM selina.vage@uib.no
CR Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Baltar F, 2016, ISME J, V10, P568, DOI 10.1038/ismej.2015.135
Bell T, 2005, NATURE, V436, P1157, DOI 10.1038/nature03891
BILLEN G, 1990, HYDROBIOLOGIA, V207, P37, DOI 10.1007/BF00041438
Bohannan BJM, 2002, ANTON LEEUW INT J G, V81, P107, DOI 10.1023/A:1020585711378
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P287, DOI 10.1111/j.1462-2920.2006.01137.x
Brussaard CPD, 2004, J EUKARYOT MICROBIOL, V51, P125, DOI 10.1111/j.1550-7408.2004.tb00537.x
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Clasen JL, 2008, FRESHWATER BIOL, V53, P1090, DOI 10.1111/j.1365-2427.2008.01992.x
Connolly J, 2013, J ECOL, V101, P344, DOI 10.1111/1365-2745.12052
Danovaro R, 2000, APPL ENVIRON MICROB, V66, P1857, DOI 10.1128/AEM.66.5.1857-1861.2000
Fiksen O, 2013, LIMNOL OCEANOGR, V58, P193, DOI 10.4319/lo.2013.58.1.0193
Flores CO, 2011, P NATL ACAD SCI USA, V108, pE288, DOI 10.1073/pnas.1101595108
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
GASOL JM, 1994, MAR ECOL PROG SER, V113, P291, DOI 10.3354/meps113291
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Gravel D, 2011, NATURE, V469, P89, DOI 10.1038/nature09592
Haerter JO, 2014, ISME J, V8, P2317, DOI 10.1038/ismej.2014.80
Hansen PJ, 1997, LIMNOL OCEANOGR, V42, P687, DOI 10.4319/lo.1997.42.4.0687
Holmfeldt K, 2007, APPL ENVIRON MICROB, V73, P6730, DOI 10.1128/AEM.01399-07
Jover LF, 2013, J THEOR BIOL, V332, P65, DOI 10.1016/j.jtbi.2013.04.011
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Korytowski DA, 2015, THEOR ECOL-NETH, V8, P111, DOI 10.1007/s12080-014-0236-6
Krause S, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00251
Larsen A, 2015, LIMNOL OCEANOGR, V60, P360, DOI 10.1002/lno.10025
LENSKI RE, 1985, AM NAT, V125, P585, DOI 10.1086/284364
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Litchman E, 2007, ECOL LETT, V10, P1170, DOI 10.1111/j.1461-0248.2007.01117.x
Litchman E, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00254
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martiny JBH, 2014, ANNU REV MAR SCI, V6, P393, DOI 10.1146/annurev-marine-010213-135108
Middelboe M, 2009, ENVIRON MICROBIOL, V11, P1971, DOI 10.1111/j.1462-2920.2009.01920.x
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
OGUNSEITAN OA, 1990, MICROB ECOL, V19, P171, DOI 10.1007/BF02012098
Ovreas L, 1997, APPL ENVIRON MICROB, V63, P3367
PACE ML, 1994, MICROBIAL ECOL, V28, P181, DOI 10.1007/BF00166807
Pasulka AL, 2015, J PLANKTON RES, V37, P320, DOI 10.1093/plankt/fbv011
Pernthaler J, 2005, NAT REV MICROBIOL, V3, P537, DOI 10.1038/nrmicro1180
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Samo T.J., 2014, FRONT MAR SCI, V1, P1, DOI DOI 10.3389/FMARS.2014.00048)
SHERR BF, 1992, APPL ENVIRON MICROB, V58, P2381, DOI 10.1128/AEM.58.8.2381-2385.1992
Smith SL, 2007, LIMNOL OCEANOGR, V52, P1545, DOI 10.4319/lo.2007.52.4.1545
Smith SL, 2009, MAR ECOL PROG SER, V384, P1, DOI 10.3354/meps08022
SUTTLE CA, 1993, MAR ECOL PROG SER, V92, P99, DOI 10.3354/meps092099
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tapper MA, 1998, LIMNOL OCEANOGR, V43, P95, DOI 10.4319/lo.1998.43.1.0095
Thingstad TF, 2007, J MARINE SYST, V64, P15, DOI 10.1016/j.jmarsys.2006.02.009
Thingstad TF, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00320
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 2005, ECOL LETT, V8, P675, DOI 10.1111/j.1461-0248.2005.00768.x
Thingstad TF, 1997, LIMNOL OCEANOGR, V42, P398, DOI 10.4319/lo.1997.42.2.0398
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Våge S, 2013, ENVIRON MICROBIOL, V15, P1842, DOI 10.1111/1462-2920.12077
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weitz J. S., 2015, QUANTITATIVE VIRAL E
Weitz JS, 2015, ISME J, V9, P1352, DOI 10.1038/ismej.2014.220
Wigington CH, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2015.24, 10.1038/NMICROBIOL.2015.24]
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Winter C, 2010, MICROBIOL MOL BIOL R, V74, P42, DOI 10.1128/MMBR.00034-09
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 68
TC 9
Z9 9
PD NOV
PY 2016
VL 18
IS 11
SI SI
BP 3932
EP 3948
DI 10.1111/1462-2920.13391
UT WOS:000388614800025
DA 2025-07-30
ER
PT J
AU Traving, SJ
Kellogg, CTE
Ross, T
McLaughlin, R
Kieft, B
Ho, GY
Peña, A
Krzywinski, M
Robert, M
Hallam, SJ
AF Traving, Sachia J.
Kellogg, Colleen T. E.
Ross, Tetjana
McLaughlin, Ryan
Kieft, Brandon
Ho, Grace Y.
Pena, Angelica
Krzywinski, Martin
Robert, Marie
Hallam, Steven J.
TI Prokaryotic responses to a warm temperature anomaly in northeast
subarctic Pacific waters
SO COMMUNICATIONS BIOLOGY
DT Article
AB Recent studies on marine heat waves describe water temperature anomalies causing changes in food web structure, bloom dynamics, biodiversity loss, and increased plant and animal mortality. However, little information is available on how water temperature anomalies impact prokaryotes (bacteria and archaea) inhabiting ocean waters. This is a nontrivial omission given their integral roles in driving major biogeochemical fluxes that influence ocean productivity and the climate system. Here we present a time-resolved study on the impact of a large-scale warm water surface anomaly in the northeast subarctic Pacific Ocean, colloquially known as the Blob, on prokaryotic community compositions. Multivariate statistical analyses identified significant depth- and season-dependent trends that were accentuated during the Blob. Moreover, network and indicator analyses identified shifts in specific prokaryotic assemblages from typically particle-associated before the Blob to taxa considered free-living and chemoautotrophic during the Blob, with potential implications for primary production and organic carbon conversion and export.
Traving et al. use small subunit ribosomal RNA gene sequencing to examine spatial and temporal trends in bacterial and archaeal community structure during a large marine warm water surface anomaly, the Blob. Their findings suggest that community structure shifted during the Blob, with taxa considered free-living and chemoautotrophic prevailing under these unusual conditions.
C1 [Traving, Sachia J.; Kieft, Brandon; Ho, Grace Y.; Hallam, Steven J.] Univ British Columbia, Dept Microbiol & Immunol, Vancouver, BC V6T 1Z1, Canada.
[Kellogg, Colleen T. E.] Hakai Inst, Heriot Bay, BC V0P 1H0, Canada.
[Ross, Tetjana; Pena, Angelica; Robert, Marie] Inst Ocean Sci Fisheries & Ocean Canada, Sidney, BC, Canada.
[McLaughlin, Ryan; Hallam, Steven J.] Univ British Columbia, Grad Program Bioinformat, Vancouver, BC V6T 1Z4, Canada.
[Krzywinski, Martin] BC Canc Agcy, Genome Sci Ctr, Vancouver, BC V5Z 4S6, Canada.
[Hallam, Steven J.] Univ British Columbia, Genome Sci & Technol Program, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada.
[Hallam, Steven J.] Univ British Columbia, Life Sci Inst, Vancouver, BC V6T 1Z3, Canada.
[Hallam, Steven J.] Univ British Columbia, ECOSCOPE Training Program, Vancouver, BC V6T 1Z3, Canada.
[Traving, Sachia J.] Univ Southern Denmark, HADAL & Nordcee, Dept Biol, Campusvej 55, DK-5230 Odense M, Denmark.
[Ho, Grace Y.] Max Planck Inst Marine Microbiol, Celsiusstr 1, D-28359 Bremen, Germany.
RP Hallam, SJ (corresponding author), Univ British Columbia, Dept Microbiol & Immunol, Vancouver, BC V6T 1Z1, Canada.; Hallam, SJ (corresponding author), Univ British Columbia, Grad Program Bioinformat, Vancouver, BC V6T 1Z4, Canada.; Hallam, SJ (corresponding author), Univ British Columbia, Genome Sci & Technol Program, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada.; Hallam, SJ (corresponding author), Univ British Columbia, Life Sci Inst, Vancouver, BC V6T 1Z3, Canada.; Hallam, SJ (corresponding author), Univ British Columbia, ECOSCOPE Training Program, Vancouver, BC V6T 1Z3, Canada.
EM shallam@mail.ubc.ca
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Acosta-Martínez V, 2014, APPL SOIL ECOL, V84, P69, DOI 10.1016/j.apsoil.2014.06.005
Allers E, 2013, ISME J, V7, P256, DOI 10.1038/ismej.2012.108
Alonso C, 2007, ENVIRON MICROBIOL, V9, P1253, DOI 10.1111/j.1462-2920.2007.01244.x
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
Andrei AS, 2019, ISME J, V13, P1056, DOI 10.1038/s41396-018-0332-5
[Anonymous], 2016, BR Supermarket, Inc. v. Visa, Inc.
Aylward FO, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00415-20
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Baker BJ, 2015, MICROBIOME, V3, DOI 10.1186/s40168-015-0077-6
Batten SD, 2018, DEEP-SEA RES PT II, V147, P58, DOI 10.1016/j.dsr2.2017.04.023
Bérard A, 2012, J SOIL SEDIMENT, V12, P513, DOI 10.1007/s11368-012-0469-1
Bif MB, 2019, GLOBAL BIOGEOCHEM CY, V33, P526, DOI 10.1029/2018GB006152
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Bond NA, 2015, GEOPHYS RES LETT, V42, P3414, DOI 10.1002/2015GL063306
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buesseler KO, 2020, ELEMENTA-SCI ANTHROP, V8, DOI 10.1525/elementa.030
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carnevali PBM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08246-y
Cavole LM, 2016, OCEANOGRAPHY, V29, P273, DOI 10.5670/oceanog.2016.32
Choi DH, 2015, ALGAE-SEOUL, V30, P223, DOI 10.4490/algae.2015.30.3.223
Collins M., 2019, IPCC special report on the ocean and cryosphere in a changing climate, P589, DOI DOI 10.1017/978100957964.008
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Crawford W, 2007, PROG OCEANOGR, V75, P161, DOI 10.1016/j.pocean.2007.08.017
De Cáceres M, 2010, OIKOS, V119, P1674, DOI 10.1111/j.1600-0706.2010.18334.x
Deschaseaux E, 2019, BIOGEOSCIENCES, V16, P4377, DOI 10.5194/bg-16-4377-2019
Di Lorenzo E, 2016, NAT CLIM CHANGE, V6, P1042, DOI [10.1038/NCLIMATE3082, 10.1038/nclimate3082]
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Faull LM, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00360
Faust Karoline, 2016, F1000Res, V5, P1519
Ferrer-González FX, 2021, ISME J, V15, P762, DOI 10.1038/s41396-020-00811-y
Fisher J., 2020, PICES SCI 2019 NOTES, V28, P65
Freeland H, 2019, DEEP-SEA RES PT I, V150, DOI 10.1016/j.dsr.2019.06.007
Freeland HJ, 2013, ATMOS OCEAN, V51, P126, DOI 10.1080/07055900.2012.754330
Frölicher TL, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03163-6
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fukunaga Y, 2009, J GEN APPL MICROBIOL, V55, P267, DOI 10.2323/jgam.55.267
Gade D, 2005, ENVIRON MICROBIOL, V7, P1074, DOI 10.1111/j.1462-2920.2005.00784.x
Garrabou J, 2009, GLOBAL CHANGE BIOL, V15, P1090, DOI 10.1111/j.1365-2486.2008.01823.x
Geider RJ, 2002, EUR J PHYCOL, V37, P1, DOI 10.1017/S0967026201003456
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Getz EW, 2018, MBIO, V9, DOI 10.1128/mBio.01089-18
Gies EA, 2014, APPL ENVIRON MICROB, V80, P6807, DOI 10.1128/AEM.01774-14
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Haro-Moreno JM, 2017, ISME J, V11, P1102, DOI 10.1038/ismej.2016.188
Harrison PJ, 2002, J OCEANOGR, V58, P259, DOI 10.1023/A:1015857624562
Hawley AK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01376-9
Hegerl GC, 2011, NAT GEOSCI, V4, P142, DOI 10.1038/ngeo1090
Hoarfrost A, 2020, ISME J, V14, P178, DOI 10.1038/s41396-019-0516-7
Hobday AJ, 2016, PROG OCEANOGR, V141, P227, DOI 10.1016/j.pocean.2015.12.014
Horak REA, 2013, ISME J, V7, P2023, DOI 10.1038/ismej.2013.75
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Joint I, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fiw243
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Lambert S, 2019, ISME J, V13, P388, DOI 10.1038/s41396-018-0281-z
Landa M, 2019, ISME J, V13, P2536, DOI 10.1038/s41396-019-0455-3
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Luo HW, 2014, MICROBIOL MOL BIOL R, V78, P573, DOI 10.1128/MMBR.00020-14
Lutz M, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2000GB001383
Mackinson BL, 2015, BIOGEOSCIENCES, V12, P3429, DOI 10.5194/bg-12-3429-2015
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Maldonado MT, 1999, DEEP-SEA RES PT II, V46, P2475, DOI 10.1016/S0967-0645(99)00072-7
Mehrshad M, 2018, ISME J, V12, P655, DOI 10.1038/s41396-017-0009-5
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
MICHAELS AF, 1988, DEEP-SEA RES, V35, P473, DOI 10.1016/0198-0149(88)90126-4
Muck S, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02141
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Not F, 2012, ADV BOT RES, V64, P1, DOI 10.1016/B978-0-12-391499-6.00001-3
Ono T, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003092
Orsi WD, 2016, ISME J, V10, P2158, DOI 10.1038/ismej.2016.20
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Pachiadaki MG, 2019, CELL, V179, P1623, DOI 10.1016/j.cell.2019.11.017
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Peña MA, 2007, PROG OCEANOGR, V75, P200, DOI 10.1016/j.pocean.2007.08.009
Peña MA, 2019, LIMNOL OCEANOGR, V64, P515, DOI 10.1002/lno.11056
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Prosser JI, 2008, ENVIRON MICROBIOL, V10, P2931, DOI 10.1111/j.1462-2920.2008.01775.x
Qin W, 2014, P NATL ACAD SCI USA, V111, P12504, DOI 10.1073/pnas.1324115111
R 4.0.3 (R Core Team), 2020, R LANG ENV STAT COMP
Reji L, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01075
Richardson TL, 2004, DEEP-SEA RES PT I, V51, P1245, DOI 10.1016/j.dsr.2004.05.005
Rinke C, 2019, ISME J, V13, P663, DOI 10.1038/s41396-018-0282-y
Rivers A R:., 2016, iTag amplicon sequencing for taxonomic identification at JGI
Roux S, 2014, ELIFE, V3, DOI 10.7554/eLife.03125
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Sañudo-Wilhelmy SA, 2014, ANNU REV MAR SCI, V6, P339, DOI 10.1146/annurev-marine-120710-100912
Sarmento H, 2010, PHILOS T R SOC B, V365, P2137, DOI 10.1098/rstb.2010.0045
Sato S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-65941-x
Saw JHW, 2020, MBIO, V11, DOI 10.1128/mBio.02975-19
Schimel J, 2007, ECOLOGY, V88, P1386, DOI 10.1890/06-0219
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Shade A, 2014, MBIO, V5, DOI 10.1128/mBio.01371-14
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Sherry ND, 1999, DEEP-SEA RES PT II, V46, P2557, DOI 10.1016/S0967-0645(99)00076-4
Siegel DA, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00022
Simon M, 2017, ISME J, V11, P1483, DOI 10.1038/ismej.2016.198
Sohm JA, 2016, ISME J, V10, P333, DOI 10.1038/ismej.2015.115
Stephens BM, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.590273
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Walsh David A, 2009, J Vis Exp, DOI 10.3791/1163
Wernberg T, 2013, NAT CLIM CHANGE, V3, P78, DOI [10.1038/nclimate1627, 10.1038/NCLIMATE1627]
Whitney FA, 1998, MAR ECOL PROG SER, V170, P15, DOI 10.3354/meps170015
Whitney FA, 1999, DEEP-SEA RES PT II, V46, P2351, DOI 10.1016/S0967-0645(99)00067-3
Whitney FA, 2007, PROG OCEANOGR, V75, P179, DOI 10.1016/j.pocean.2007.08.007
Winder M, 2004, ECOLOGY, V85, P2100, DOI 10.1890/04-0151
Wohlers J, 2009, P NATL ACAD SCI USA, V106, P7067, DOI 10.1073/pnas.0812743106
Wright J J., 2009, J Vis Exp, V31, pe1352, DOI [DOI 10.3791/, DOI 10.3791/1352]
Wright JJ, 2014, ISME J, V8, P455, DOI 10.1038/ismej.2013.152
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Yang B, 2018, BIOGEOSCIENCES, V15, P6747, DOI 10.5194/bg-15-6747-2018
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Zapata M, 2000, MAR ECOL PROG SER, V195, P29, DOI 10.3354/meps195029
NR 124
TC 19
Z9 20
PD OCT 22
PY 2021
VL 4
IS 1
AR 1217
DI 10.1038/s42003-021-02731-9
UT WOS:000710158900004
DA 2025-07-30
ER
PT J
AU Grossart, HP
Massana, R
McMahon, KD
Walsh, DA
AF Grossart, Hans-Peter
Massana, Ramon
McMahon, Katherine D.
Walsh, David A.
TI Linking metagenomics to aquatic microbial ecology and biogeochemical
cycles
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Microbial communities are essential components of aquatic ecosystems through their contribution to food web dynamics and biogeochemical processes. Aquatic microbial diversity is immense and a general challenge is to understand how metabolism and interactions of single organisms shape microbial community dynamics and ecosystem-scale biogeochemical transformations. Metagenomic approaches have developed rapidly, and proven to be powerful in linking microbial community dynamics to biogeochemical processes. In this review, we provide an overview of metagenomic approaches, followed by a discussion on some recent insights they have provided, including those in this special issue. These include the discovery of new taxa and metabolisms in aquatic microbiomes, insights into community assembly and functional ecology as well as evolutionary processes shaping microbial genomes and microbiomes, and the influence of human activities on aquatic microbiomes. Given that metagenomics can now be considered a mature technology where data generation and descriptive analyses are relatively routine and informative, we then discuss metagenomic-enabled research avenues to further link microbial dynamics to biogeochemical processes. These include the integration of metagenomics into well-designed ecological experiments, the use of metagenomics to inform and validate metabolic and biogeochemical models, and the pressing need for ecologically relevant model organisms and simple microbial systems to better interpret the taxonomic and functional information integrated in metagenomes. These research avenues will contribute to a more mechanistic and predictive understanding of links between microbial dynamics and biogeochemical cycles. Owing to rapid climate change and human impacts on aquatic ecosystems, the urgency of such an understanding has never been greater.
C1 [Grossart, Hans-Peter] Leibniz Inst Freshwater Ecol & Inland Fisheries, Berlin, Germany.
[Grossart, Hans-Peter] Potsdam Univ, Potsdam, Germany.
[Massana, Ramon] CSIC, Inst Ciencies Mar, Barcelona, Catalonia, Spain.
[McMahon, Katherine D.] Univ Wisconsin, Dept Civil & Environm Engn & Bacteriol, Madison, WI USA.
[Walsh, David A.] Concordia Univ, Dept Biol, Montreal, PQ, Canada.
RP Walsh, DA (corresponding author), Concordia Univ, Dept Biol, Montreal, PQ, Canada.
EM david.walsh@concordia.ca
CR Almeida A, 2019, NATURE, V568, P499, DOI 10.1038/s41586-019-0965-1
Alneberg J, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.146
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
Arora-Williams K, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0556-7
Ayling M, 2020, BRIEF BIOINFORM, V21, P584, DOI 10.1093/bib/bbz020
Aylward FO, 2015, P NATL ACAD SCI USA, V112, P5443, DOI 10.1073/pnas.1502883112
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Bachmann J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02836
Beier S, 2017, MOL ECOL, V26, P6813, DOI 10.1111/mec.14409
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Bendall ML, 2016, ISME J, V10, P1589, DOI 10.1038/ismej.2015.241
Bertrand EM, 2015, P NATL ACAD SCI USA, V112, P9938, DOI 10.1073/pnas.1501615112
BIER R, 2020, LIMNOL OCEANOGR, V64
Biller SJ, 2015, NAT REV MICROBIOL, V13, P13, DOI 10.1038/nrmicro3378
Bintanja R, 2017, NAT CLIM CHANGE, V7, P263, DOI [10.1038/NCLIMATE3240, 10.1038/nclimate3240]
Bizic-Ionescu M, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02569
Blainey PC, 2013, FEMS MICROBIOL REV, V37, P407, DOI 10.1111/1574-6976.12015
Bowers RM, 2017, EMERG TOP LIFE SCI, V1, P249, DOI 10.1042/ETLS20160028
BOWMAN K, 2020, LIMNOL OCEANOGR, V64
Breitburg D, 2018, SCIENCE, V359, P46, DOI 10.1126/science.aam7240
Brown CT, 2015, NATURE, V523, P208, DOI 10.1038/nature14486
BULSECO A, 2020, LIMNOL OCEANOGR, V64
Bulzu PA, 2019, NAT MICROBIOL, V4, P1129, DOI 10.1038/s41564-019-0404-y
Buttigieg PL, 2018, CURR OPIN MICROBIOL, V43, P169, DOI 10.1016/j.mib.2018.01.015
Camargo JA, 2006, ENVIRON INT, V32, P831, DOI 10.1016/j.envint.2006.05.002
CARMACK EC, 2016, JGR BIOGEOSCI, V121, P1
Caron DA, 2017, NAT REV MICROBIOL, V15, P6, DOI 10.1038/nrmicro.2016.160
Carradec Q, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02342-1
Castelle CJ, 2018, CELL, V172, P1181, DOI 10.1016/j.cell.2018.02.016
Chang YC, 2016, NUCLEIC ACIDS RES, V44, pD330, DOI 10.1093/nar/gkv1324
Coenen AR, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00084-18
Colatriano D, 2018, COMMUN BIOL, V1, DOI 10.1038/s42003-018-0086-7
Colatriano D, 2015, JOVE-J VIS EXP, DOI 10.3791/52827
COLE JJ, 1982, ANNU REV ECOL SYST, V13, P291, DOI 10.1146/annurev.es.13.110182.001451
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Cordero OX, 2014, NAT REV MICROBIOL, V12, P263, DOI 10.1038/nrmicro3218
Crevecoeur S, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00192
CRUAUD P, 2020, LIMNOL OCEANOGR, V64
Curson ARJ, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.9
D'Souza G, 2018, NAT PROD REP, V35, P455, DOI 10.1039/c8np00009c
Dam P, 2016, NPJ SYST BIOL APPL, V2, DOI 10.1038/npjsba.2016.7
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Delmont TO, 2018, PEERJ, V6, DOI 10.7717/peerj.4320
DeLong E, 2006, PLOS BIOL, V4, P2412, DOI 10.1371/journal.pbio.0040437
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Denef VJ, 2016, APPL ENVIRON MICROB, V82, P1423, DOI 10.1128/AEM.03014-15
Dick G., 2018, Genomic Approaches in Earth and Environmental Sciences, DOI DOI 10.1002/9781118708231
Ducklow HW, 1999, FEMS MICROBIOL ECOL, V30, P1, DOI 10.1111/j.1574-6941.1999.tb00630.x
DURET M, 2020, LIMNOL OCEANOGR, V64
Edwards KF, 2013, ECOL LETT, V16, P56, DOI 10.1111/ele.12012
Embree M, 2015, P NATL ACAD SCI USA, V112, P15450, DOI 10.1073/pnas.1506034112
Eren AM, 2015, PEERJ, V3, DOI 10.7717/peerj.1319
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
FASCHING C, 2020, LIMNOL OCEANOGR, V64
Feist AM, 2009, NAT REV MICROBIOL, V7, P129, DOI 10.1038/nrmicro1949
FERNANDEZ L, 2020, LIMNOL OCEANOGR, V64
Follows MJ, 2011, ANNU REV MAR SCI, V3, P427, DOI 10.1146/annurev-marine-120709-142848
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Galand PE, 2018, ISME J, V12, P2470, DOI 10.1038/s41396-018-0158-1
Garcia SL, 2018, MSPHERE, V3, DOI 10.1128/mSphere.00202-18
Garcia SL, 2015, MOL ECOL, V24, P4449, DOI 10.1111/mec.13319
Garza DR, 2018, NAT MICROBIOL, V3, P456, DOI 10.1038/s41564-018-0124-8
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2011, ANNU REV MAR SCI, V3, P347, DOI 10.1146/annurev-marine-120709-142811
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Graham EB, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00214
Grossart HP, 2019, NAT REV MICROBIOL, V17, P339, DOI 10.1038/s41579-019-0175-8
Hahn MW, 2016, ISME J, V10, P1642, DOI 10.1038/ismej.2015.237
Hahn MW, 2005, APPL ENVIRON MICROB, V71, P766, DOI 10.1128/AEM.71.2.766-773.2005
Hall EK, 2018, NAT MICROBIOL, V3, P977, DOI 10.1038/s41564-018-0201-z
Hamilton JJ, 2017, MSYSTEMS, V2, DOI 10.1128/mSystems.00091-17
Handelsman J, 1998, CHEM BIOL, V5, pR245, DOI 10.1016/S1074-5521(98)90108-9
Haruta S, 2009, ENVIRON MICROBIOL, V11, P2963, DOI 10.1111/j.1462-2920.2009.01956.x
He SM, 2019, MSPHERE, V4, DOI 10.1128/mSphere.00436-18
Hellweger FL, 2016, NAT REV MICROBIOL, V14, P461, DOI 10.1038/nrmicro.2016.62
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Henzinger M., 2000, Algorithms - ESA 2000. 8th Annual European Symposium. Proceedings (Lecture Notes in Computer Science Vol.1879), P1
Herren CM, 2018, ENVIRON MICROBIOL, V20, P2207, DOI 10.1111/1462-2920.14257
Hirano H, 2019, BMC BIOINFORMATICS, V20, DOI 10.1186/s12859-019-2915-1
Hoetzinger M, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-4199-z
HOOKER KV, 2020, LIMNOL OCEANOGR, V64
Hu SK, 2018, ENVIRON MICROBIOL, V20, P2865, DOI 10.1111/1462-2920.14259
Huang RP, 2020, LIMNOL OCEANOGR, V65, P2926, DOI 10.1002/lno.11565
Hug LA, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.48, 10.1038/NMICROBIOL.2016.48]
Huot Y, 2019, SCI TOTAL ENVIRON, V695, DOI 10.1016/j.scitotenv.2019.133668
Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
Ionescu D, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00342-9
Jaspers E, 2004, APPL ENVIRON MICROB, V70, P4831, DOI 10.1128/AEM.70.8.4831-4839.2004
Joyce AR, 2006, NAT REV MOL CELL BIO, V7, P198, DOI 10.1038/nrm1857
Kanehisa M, 2019, NUCLEIC ACIDS RES, V47, pD590, DOI 10.1093/nar/gky962
Kang DWD, 2015, PEERJ, V3, DOI 10.7717/peerj.1165
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Keeling PJ, 2017, CURR BIOL, V27, pR541, DOI 10.1016/j.cub.2017.03.075
Kent AG, 2016, ISME J, V10, P1856, DOI 10.1038/ismej.2015.265
Kim S, 2019, ISME J, V13, P2252, DOI 10.1038/s41396-019-0432-x
KLEINTEICH J, 2020, LIMNOL OCEANOGR, V64
Knight R, 2018, NAT REV MICROBIOL, V16, P410, DOI 10.1038/s41579-018-0029-9
Konwar KM, 2015, BIOINFORMATICS, V31, P3345, DOI 10.1093/bioinformatics/btv361
Krause S, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00251
Kreft JU, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02299
Krempaska N, 2018, LIMNOL OCEANOGR, V63, P816, DOI 10.1002/lno.10672
LABARRE A, 2020, LIMNOL OCEANOGR, V64
Landry Z, 2017, MBIO, V8, DOI 10.1128/mBio.00413-17
LARKIN A, 2020, LIMNOL OCEANOGR, V64
Li WKW, 2009, SCIENCE, V326, P539, DOI 10.1126/science.1179798
Linz AM, 2018, PEERJ, V6, DOI 10.7717/peerj.6075
LINZ AM, 2020, LIMNOL OCEANOGR, V64
Litchman E, 2008, ANNU REV ECOL EVOL S, V39, P615, DOI 10.1146/annurev.ecolsys.39.110707.173549
López-Pérez M, 2016, GENOME BIOL EVOL, V8, P1556, DOI 10.1093/gbe/evw098
Louca S, 2018, NAT ECOL EVOL, V2, P936, DOI 10.1038/s41559-018-0519-1
Louca S, 2016, P NATL ACAD SCI USA, V113, pE5925, DOI 10.1073/pnas.1602897113
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Mangot JF, 2018, ENVIRON MICROBIOL, V20, P3876, DOI 10.1111/1462-2920.14408
Mangot JF, 2017, SCI REP-UK, V7, DOI 10.1038/srep41498
Mantere T, 2019, FRONT GENET, V10, DOI 10.3389/fgene.2019.00426
Markowitz VM, 2014, NUCLEIC ACIDS RES, V42, pD568, DOI 10.1093/nar/gkt919
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
MARTINY A, 2020, LIMNOL OCEANOGR, V64
Massana R, 2014, ISME J, V8, P854, DOI 10.1038/ismej.2013.204
Mehrshad M., 2018, Microbiome, V6
Mehrshad M, 2018, ISME J, V12, P655, DOI 10.1038/s41396-017-0009-5
MENDES MJ, 2020, LIMNOL OCEANOGR, V64
Meyer F, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-386
Mitchell AL, 2018, NUCLEIC ACIDS RES, V46, pD726, DOI 10.1093/nar/gkx967
Morán XAG, 2002, MICROBIAL ECOL, V44, P217, DOI 10.1007/s00248-002-1026-z
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Mosier AC, 2011, METHOD ENZYMOL, V486, P205, DOI [10.1016/S0076-6879(11)86009-X, 10.1016/B978-0-12-381294-0.00009-2]
Mu DS, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0613-2
Nemergut DR, 2013, MICROBIOL MOL BIOL R, V77, P342, DOI 10.1128/MMBR.00051-12
Oremland RS, 2005, NAT REV MICROBIOL, V3, P572, DOI 10.1038/nrmicro1182
ORLAND C, 2020, LIMNOL OCEANOGR, V64
PACE NR, 1986, ADV MICROBIAL ECOLOG, V9
Parks DH, 2018, NAT BIOTECHNOL, V36, P996, DOI 10.1038/nbt.4229
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
PEURA S, 2020, LIMNOL OCEANOGR, V64
Preheim SP, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2016.130, 10.1038/NMICROBIOL.2016.130]
Price MN, 2018, NATURE, V557, P503, DOI 10.1038/s41586-018-0124-0
Pushkarev A, 2018, NATURE, V558, P595, DOI 10.1038/s41586-018-0225-9
Quince C, 2017, NAT BIOTECHNOL, V35, P833, DOI 10.1038/nbt.3935
Ramond P, 2019, ENVIRON MICROBIOL, V21, P730, DOI 10.1111/1462-2920.14537
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
RASIGRAF O, 2020, LIMNOL OCEANOGR, V64
Reed DC, 2014, P NATL ACAD SCI USA, V111, P1879, DOI 10.1073/pnas.1313713111
Rohwer RR, 2018, MSPHERE, V3, DOI 10.1128/mSphere.00327-18
Roughgarden J, 2009, BIOL PHILOS, V24, P521, DOI 10.1007/s10539-009-9164-z
RUUSKANEN M, 2020, LIMNOL OCEANOGR, V64
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Santoro AE, 2019, ANNU REV MAR SCI, V11, P131, DOI [10.1146/annurev-marine-121916063141, 10.1146/annurev-marine-121916-063141]
Santoro AE, 2011, SCIENCE, V333, P1282, DOI 10.1126/science.1208239
Seeleuthner Y, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02235-3
Seymour JR, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.65
Shi YM, 2011, ISME J, V5, P999, DOI 10.1038/ismej.2010.189
Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
Spang A, 2015, NATURE, V521, P173, DOI 10.1038/nature14447
Stepanauskas R, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00128-z
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stolyar S, 2007, MOL SYST BIOL, V3, DOI 10.1038/msb4100131
Strous M, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00410
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Thompson LR, 2017, NATURE, V551, P457, DOI 10.1038/nature24621
Tran P, 2018, ENVIRON MICROBIOL, V20, P2568, DOI 10.1111/1462-2920.14283
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Vellend M, 2010, Q REV BIOL, V85, P183, DOI 10.1086/652373
Vincent WF, 2010, ISME J, V4, P1089, DOI 10.1038/ismej.2010.108
Vonk JE, 2012, NATURE, V489, P137, DOI 10.1038/nature11392
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Weiland-Bräuer N, 2017, METHODS MOL BIOL, V1539, P23, DOI 10.1007/978-1-4939-6691-2_3
Weiss S, 2016, ISME J, V10, P1669, DOI 10.1038/ismej.2015.235
Weithoff G, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00040
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
Woodcroft BJ, 2018, NATURE, V560, P49, DOI 10.1038/s41586-018-0338-1
Xing P, 2021, LIMNOL OCEANOGR, V66, pS142, DOI 10.1002/lno.11686
Yergeau E, 2017, SCI REP-UK, V7, DOI 10.1038/srep42242
Yoon HS, 2011, SCIENCE, V332, P714, DOI 10.1126/science.1203163
Zaremba-Niedzwiedzka K, 2017, NATURE, V541, P353, DOI 10.1038/nature21031
Zelezniak A, 2015, P NATL ACAD SCI USA, V112, P6449, DOI 10.1073/pnas.1421834112
Zheng Q, 2021, LIMNOL OCEANOGR, V66, P335, DOI 10.1002/lno.11608
Zhuang K, 2011, ISME J, V5, P305, DOI 10.1038/ismej.2010.117
Zoccarato L, 2019, ADV ENV MICROBIOLOGY, V7, P13, DOI 10.1007/978-3-030-16775-2_2
Zuñiga C, 2017, MICROB BIOTECHNOL, V10, P1500, DOI 10.1111/1751-7915.12855
NR 183
TC 107
Z9 113
PD JAN
PY 2020
VL 65
SU 1
SI SI
BP S2
EP S20
DI 10.1002/lno.11382
EA NOV 2019
UT WOS:000497259700001
DA 2025-07-30
ER
PT J
AU Jameson, BD
Murdock, SA
Ji, QX
Stevens, CJ
Grundle, DS
Juniper, SK
AF Jameson, Brett D.
Murdock, Sheryl A.
Ji, Qixing
Stevens, Catherine J.
Grundle, Damian S.
Kim Juniper, S.
TI Network analysis of 16S rRNA sequences suggests microbial keystone taxa
contribute to marine N2O cycling
SO COMMUNICATIONS BIOLOGY
DT Article
AB The mechanisms by which large-scale microbial community function emerges from complex ecological interactions between individual taxa and functional groups remain obscure. We leveraged network analyses of 16S rRNA amplicon sequences obtained over a seven-month timeseries in seasonally anoxic Saanich Inlet (Vancouver Island, Canada) to investigate relationships between microbial community structure and water column N2O cycling. Taxa separately broadly into three discrete subnetworks with contrasting environmental distributions. Oxycline subnetworks were structured around keystone aerobic heterotrophs that correlated with nitrification rates and N2O supersaturations, linking N2O production and accumulation to taxa involved in organic matter remineralization. Keystone taxa implicated in anaerobic carbon, nitrogen, and sulfur cycling in anoxic environments clustered together in a low-oxygen subnetwork that correlated positively with nitrification N2O yields and N2O production from denitrification. Close coupling between N2O producers and consumers in the anoxic basin is indicated by strong correlations between the low-oxygen subnetwork, PICRUSt2-predicted nitrous oxide reductase (nosZ) gene abundances, and N2O undersaturation. This study implicates keystone taxa affiliated with common ODZ groups as a potential control on water column N2O cycling and provides a theoretical basis for further investigations into marine microbial interaction networks.
Network analysis of 16S rRNA-sequencing data collected over six months in the Sannich Inlet on Vancouver Island, Canada, suggests keystone microbial taxa that might contribute to water column N2O production and accumulation.
C1 [Jameson, Brett D.; Stevens, Catherine J.; Kim Juniper, S.] Univ Victoria, Sch Earth & Ocean Sci, POB 1700 Stn CSC, Victoria, BC V8W 2Y2, Canada.
[Murdock, Sheryl A.; Kim Juniper, S.] Univ Victoria, Dept Biol, POB 1700 CSC, Victoria, BC V8W 2Y2, Canada.
[Murdock, Sheryl A.; Ji, Qixing; Grundle, Damian S.] Bermuda Inst Ocean Sci, 17 Biol Stn, St Georges, Bermuda.
[Ji, Qixing] Hong Kong Univ Sci & Technol Guangzhou, Thrust Earth Ocean & Atmospher Sci, Guangzhou 511400, Guangdong, Peoples R China.
[Grundle, Damian S.] Arizona State Univ, Sch Ocean Futures, Tempe, AZ 85287 USA.
[Grundle, Damian S.] Arizona State Univ, Sch Earth & Space Explorat, Tempe, AZ 85287 USA.
[Kim Juniper, S.] Ocean Networks Canada, 2474 Arbutus Rd, Victoria, BC V8N 1V8, Canada.
RP Jameson, BD (corresponding author), Univ Victoria, Sch Earth & Ocean Sci, POB 1700 Stn CSC, Victoria, BC V8W 2Y2, Canada.
EM bjameson@uvic.ca
CR Alves RJE, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03861-1
ANDERSON J J, 1973, Estuarine and Coastal Marine Science, V1, P1, DOI 10.1016/0302-3524(73)90052-2
[Anonymous], 2022, R PACKAGE VERSION 2
Arévalo-Martínez DL, 2015, NAT GEOSCI, V8, P530, DOI [10.1038/ngeo2469, 10.1038/NGEO2469]
Arias, 2021, CLIMATE CHANGE 2021, P33
Babbin AR, 2015, SCIENCE, V348, P1127, DOI 10.1126/science.aaa8380
Bakenhus I, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.01771
Bálint M, 2016, FEMS MICROBIOL REV, V40, P686, DOI 10.1093/femsre/fuw017
Banerjee S, 2018, NAT REV MICROBIOL, V16, P567, DOI 10.1038/s41579-018-0024-1
Banerjee S, 2016, SOIL BIOL BIOCHEM, V97, P188, DOI 10.1016/j.soilbio.2016.03.017
Bange H., 2010, NITROUS OXIDE CLIMAT, P36, DOI DOI 10.4324/9781849775113
Bange HW, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00157
Bange HW, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P51, DOI 10.1016/B978-0-12-372522-6.00002-5
Barbera P, 2019, SYST BIOL, V68, P365, DOI 10.1093/sysbio/syy054
Barberán A, 2012, ISME J, V6, P343, DOI 10.1038/ismej.2011.119
Bayer B, 2019, ENVIRON MICROBIOL, V21, P4062, DOI 10.1111/1462-2920.14755
Beman JM, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3705
Berry D, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00219
Bertagnolli AD, 2011, AQUAT MICROB ECOL, V64, P15, DOI 10.3354/ame01504
Bertagnolli AD, 2020, ENV MICROBIOL REP, V12, P681, DOI 10.1111/1758-2229.12879
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
Breitburg D, 2018, SCIENCE, V359, P46, DOI 10.1126/science.aam7240
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Callbeck CM, 2021, LIMNOL OCEANOGR, V66, P2360, DOI 10.1002/lno.11759
Callbeck CM, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.01344-19
Callbeck CM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04041-x
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Capelle DW, 2018, LIMNOL OCEANOGR, V63, P524, DOI 10.1002/lno.10645
Cardman Z, 2014, APPL ENVIRON MICROB, V80, P3749, DOI 10.1128/AEM.00899-14
Christie-Oleza JA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.100
Comeau AM, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027492
Cordero OX, 2014, NAT REV MICROBIOL, V12, P263, DOI 10.1038/nrmicro3218
Craig MacLean R, 2005, ECOL LETT, V8, P38, DOI 10.1111/j.1461-0248.2004.00689.x
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Czech L, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217050
Devol AH, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P263, DOI 10.1016/B978-0-12-372522-6.00006-2
Douglas GM, 2020, NAT BIOTECHNOL, V38, P685, DOI 10.1038/s41587-020-0548-6
Drescher K, 2014, CURR BIOL, V24, P50, DOI 10.1016/j.cub.2013.10.030
Edgar R.C., 2016, bioRxiv, DOI DOI 10.1101/081257
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
EMERSON S, 1979, DEEP-SEA RES, V26, P859, DOI 10.1016/0198-0149(79)90101-8
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Gargett AE, 2003, ESTUAR COAST SHELF S, V56, P1141, DOI 10.1016/S0272-7714(02)00319-0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gloor GB, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02224
Goldford JE, 2018, SCIENCE, V361, P469, DOI 10.1126/science.aat1168
Graf DRH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0114118
Graham EB, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00214
Grundle DS, 2009, CONT SHELF RES, V29, P2257, DOI 10.1016/j.csr.2009.08.013
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Hawley AK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01376-9
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Herren CM, 2018, ENVIRON MICROBIOL, V20, P2207, DOI 10.1111/1462-2920.14257
Hu JJ, 2019, MICROB ECOL, V78, P555, DOI 10.1007/s00248-019-01359-x
Huber JA, 2002, APPL ENVIRON MICROB, V68, P1585, DOI 10.1128/AEM.68.4.1585-1594.2002
Jameson Brett D, 2023, Zenodo, DOI 10.5281/ZENODO.7604057
Ji Qixing, 2020, PANGAEA, DOI 10.1594/PANGAEA.912191
Ji QX, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2020JG005631
Ji QX, 2015, GEOPHYS RES LETT, V42, P10755, DOI 10.1002/2015GL066853
Johnson JS, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13036-1
Jones CM, 2014, NAT CLIM CHANGE, V4, P801, DOI [10.1038/nclimate2301, 10.1038/NCLIMATE2301]
Kalvelage T, 2013, NAT GEOSCI, V6, P228, DOI [10.1038/ngeo1739, 10.1038/NGEO1739]
Kraft B, 2022, SCIENCE, V375, P97, DOI 10.1126/science.abe6733
Labrenz M, 2010, ISME J, V4, P1496, DOI 10.1038/ismej.2010.78
Langfelder P, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-559
Langille MGI, 2013, NAT BIOTECHNOL, V31, P814, DOI 10.1038/nbt.2676
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
Lê Cao KA, 2008, STAT APPL GENET MOL, V7, DOI 10.2202/1544-6115.1390
Leao PN, 2012, MICROB ECOL, V63, P85, DOI 10.1007/s00248-011-9939-z
Li F, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.00187
Louca S, 2018, NAT ECOL EVOL, V2, P936, DOI 10.1038/s41559-018-0519-1
Louca S, 2018, BIOINFORMATICS, V34, P1053, DOI 10.1093/bioinformatics/btx701
Louca S, 2016, P NATL ACAD SCI USA, V113, pE5925, DOI 10.1073/pnas.1602897113
Louca S, 2016, SCIENCE, V353, P1272, DOI 10.1126/science.aaf4507
Lu YH, 2019, MICROORGANISMS, V7, DOI 10.3390/microorganisms7100453
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
Michiels CC, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00027
Mincer TJ, 2007, ENVIRON MICROBIOL, V9, P1162, DOI 10.1111/j.1462-2920.2007.01239.x
Muck S, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.02141
Muller O, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00024
Murdock S.A., 2021, ISME COMMUN, V1, P27
Murillo AA, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00018
Orellana LH, 2022, ISME J, V16, P630, DOI 10.1038/s41396-021-01105-7
Palarea-Albaladejo J, 2015, CHEMOMETR INTELL LAB, V143, P85, DOI 10.1016/j.chemolab.2015.02.019
Parada AE, 2017, ISME J, V11, P2510, DOI 10.1038/ismej.2017.104
Peng XF, 2015, GLOBAL BIOGEOCHEM CY, V29, P2034, DOI 10.1002/2015GB005278
Pereira O, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.852
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quinn TP, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-16520-0
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Rabus R, 2015, ADV MICROB PHYSIOL, V66, P55, DOI 10.1016/bs.ampbs.2015.05.002
Ravishankara AR, 2009, SCIENCE, V326, P123, DOI 10.1126/science.1176985
Reji L, 2019, ENVIRON MICROBIOL, V21, P4032, DOI 10.1111/1462-2920.14753
Reji L, 2019, ISME J, V13, P1144, DOI 10.1038/s41396-018-0311-x
Rohart F, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005752
Sanford RA, 2012, P NATL ACAD SCI USA, V109, P19709, DOI [10.1073/pnas.1211238109, 10.1073/pnas.]
Santoro AE, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2020GB006716
Santoro AE, 2017, LIMNOL OCEANOGR, V62, P1984, DOI 10.1002/lno.10547
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schunck H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068661
Shah V, 2019, MBIO, V10, DOI 10.1128/mBio.00216-19
Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
Soetaert G, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.1001146
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sollai M, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00765
Steele JA, 2011, ISME J, V5, P1414, DOI 10.1038/ismej.2011.24
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Sun X, 2021, ISME J, V15, P1317, DOI 10.1038/s41396-020-00852-3
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
van der Heijden MGA, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.1002378
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Wang S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-84969-1
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Yoon S, 2016, APPL ENVIRON MICROB, V82, P3793, DOI 10.1128/AEM.00409-16
Zaikova E, 2010, ENVIRON MICROBIOL, V12, P172, DOI 10.1111/j.1462-2920.2009.02058.x
Zecher K, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.533894
NR 123
TC 3
Z9 3
PD FEB 23
PY 2023
VL 6
IS 1
AR 212
DI 10.1038/s42003-023-04597-5
UT WOS:000955679400008
DA 2025-07-30
ER
PT J
AU Bertagnolli, AD
Stewart, FJ
AF Bertagnolli, Anthony D.
Stewart, Frank J.
TI Microbial niches in marine oxygen minimum zones
SO NATURE REVIEWS MICROBIOLOGY
DT Review
AB In the ocean's major oxygen minimum zones (OMZs), oxygen is effectively absent from sea water and life is dominated by microorganisms that use chemicals other than oxygen for respiration. Recent studies that combine advanced genomic and chemical detection methods are delineating the different metabolic niches that microorganisms can occupy in OMZs. Understanding these niches, the microorganisms that inhabit them, and their influence on marine biogeochemical cycles is crucial as OMZs expand with increasing seawater temperatures.
C1 [Bertagnolli, Anthony D.; Stewart, Frank J.] Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USA.
RP Stewart, FJ (corresponding author), Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USA.
EM frank.stewart@biology.gatech.edu
CR Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Astorga-Eló M, 2015, ISME J, V9, P1264, DOI 10.1038/ismej.2015.21
Babbin AR, 2017, GLOBAL BIOGEOCHEM CY, V31, P258, DOI 10.1002/2016GB005407
Beman JM, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3705
Bertagnolli AD, 2017, ENVIRON MICROBIOL, V19, P4392, DOI 10.1111/1462-2920.13879
Bianchi D, 2014, P NATL ACAD SCI USA, V111, P15653, DOI 10.1073/pnas.1410790111
Bonnet S, 2016, BIOGEOSCIENCES, V13, P2653, DOI 10.5194/bg-13-2653-2016
Bristow LA, 2017, NAT GEOSCI, V10, P24, DOI [10.1038/NGEO2847, 10.1038/ngeo2847]
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
Bryant JA, 2012, ECOLOGY, V93, P1659, DOI 10.1890/11-1204.1
Callbeck CM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04041-x
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Cassman N, 2012, ENVIRON MICROBIOL, V14, P3043, DOI 10.1111/j.1462-2920.2012.02891.x
Cavan EL, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14847
Chronopoulou PM, 2017, ISME J, V11, P1386, DOI 10.1038/ismej.2017.6
Dalsgaard T, 2014, MBIO, V5, DOI 10.1128/mBio.01966-14
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Ettwig KF, 2008, ENVIRON MICROBIOL, V10, P3164, DOI 10.1111/j.1462-2920.2008.01724.x
Fernandez C, 2015, J GEOPHYS RES-OCEANS, V120, P3330, DOI 10.1002/2014JC010410
Franz J, 2012, DEEP-SEA RES PT I, V62, P20, DOI 10.1016/j.dsr.2011.12.004
Füssel J, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700807
Füssel J, 2012, ISME J, V6, P1200, DOI 10.1038/ismej.2011.178
Ganesh S, 2018, ISME J, V12, P2706, DOI 10.1038/s41396-018-0223-9
Ganesh S, 2015, ISME J, V9, P2682, DOI 10.1038/ismej.2015.44
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Garcia-Robledo E, 2017, P NATL ACAD SCI USA, V114, P8319, DOI 10.1073/pnas.1619844114
Georges AA, 2014, ISME J, V8, P1301, DOI 10.1038/ismej.2013.234
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glass JB, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00998
Goericke R, 2000, DEEP-SEA RES PT I, V47, P1183, DOI 10.1016/S0967-0637(99)00108-9
Grote J, 2012, P NATL ACAD SCI USA, V109, P506, DOI 10.1073/pnas.1111262109
Hawco NJ, 2016, BIOGEOSCIENCES, V13, P5697, DOI 10.5194/bg-13-5697-2016
Hawley AK, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01376-9
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Jayakumar A, 2017, ISME J, V11, P2356, DOI 10.1038/ismej.2017.97
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kalvelage T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133526
Kalvelage T, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0029299
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
Larsen M, 2016, LIMNOL OCEANOGR-METH, V14, P784, DOI 10.1002/lom3.10126
Lavin P, 2010, ENV MICROBIOL REP, V2, P728, DOI 10.1111/j.1758-2229.2010.00167.x
Loescher CR, 2014, ISME J, V8, P2180, DOI 10.1038/ismej.2014.71
Löscher CR, 2016, BIOGEOSCIENCES, V13, P3585, DOI 10.5194/bg-13-3585-2016
Loginova AN, 2016, J GEOPHYS RES-OCEANS, V121, P7973, DOI 10.1002/2016JC011906
Louca S, 2016, P NATL ACAD SCI USA, V113, pE5925, DOI 10.1073/pnas.1602897113
Lüke C, 2016, PEERJ, V4, DOI 10.7717/peerj.1924
Marshall KT, 2015, GENOME ANNOUNCEMENTS, V3, DOI 10.1128/genomeA.01155-15
Martínez-Pérez C, 2018, ENVIRON MICROBIOL, V20, P755, DOI 10.1111/1462-2920.14008
Mok JK, 2018, GEOMICROBIOL J, V35, P570, DOI 10.1080/01490451.2018.1430189
Murillo AA, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00018
Naqvi SWA, 2010, BIOGEOSCIENCES, V7, P2159, DOI 10.5194/bg-7-2159-2010
Ohnemus DC, 2017, LIMNOL OCEANOGR, V62, P3, DOI 10.1002/lno.10363
Pack MA, 2015, J GEOPHYS RES-BIOGEO, V120, P1078, DOI 10.1002/2014JG002900
Padilla CC, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00023
Padilla CC, 2016, ISME J, V10, P2067, DOI 10.1038/ismej.2015.262
Peng XF, 2015, GLOBAL BIOGEOCHEM CY, V29, P2034, DOI 10.1002/2015GB005278
Qin W, 2017, ENV MICROBIOL REP, V9, P250, DOI 10.1111/1758-2229.12525
Raghoebarsing AA, 2006, NATURE, V440, P918, DOI 10.1038/nature04617
Reed DC, 2014, P NATL ACAD SCI USA, V111, P1879, DOI 10.1073/pnas.1313713111
Resplandy L, 2012, BIOGEOSCIENCES, V9, P5095, DOI 10.5194/bg-9-5095-2012
Revsbech NP, 2011, METHOD ENZYMOL, V486, P325, DOI [10.1016/S0076-6879(11)86014-3, 10.1016/B978-0-12-381294-0.00014-6]
Revsbech NP, 2009, LIMNOL OCEANOGR-METH, V7, P371, DOI 10.4319/lom.2009.7.371
Sansone FJ, 2001, GEOPHYS RES LETT, V28, P4567, DOI 10.1029/2001GL013460
Schmidtko S, 2017, NATURE, V542, P335, DOI 10.1038/nature21399
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Suter EA, 2018, ENVIRON MICROBIOL, V20, P693, DOI 10.1111/1462-2920.13997
Tavormina PL, 2013, ENV MICROBIOL REP, V5, P414, DOI 10.1111/1758-2229.12025
Thamdrup B, 2012, DEEP-SEA RES PT I, V65, P36, DOI 10.1016/j.dsr.2012.03.001
Thrash JC, 2017, MBIO, V8, DOI 10.1128/mBio.01017-17
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
Torres-Beltrán M, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00268
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Ulloa O, 2012, P NATL ACAD SCI USA, V109, P15996, DOI 10.1073/pnas.1205009109
Villanueva L, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00031
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Widner B, 2017, LIMNOL OCEANOGR, V62, P2538, DOI 10.1002/lno.10588
Wishner KF, 2013, DEEP-SEA RES PT I, V79, P122, DOI 10.1016/j.dsr.2013.05.012
Woebken D, 2008, ENVIRON MICROBIOL, V10, P3106, DOI 10.1111/j.1462-2920.2008.01640.x
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Zakem EJ, 2017, LIMNOL OCEANOGR, V62, P795, DOI 10.1002/lno.10461
NR 83
TC 92
Z9 101
PD DEC
PY 2018
VL 16
IS 12
BP 723
EP 729
DI 10.1038/s41579-018-0087-z
UT WOS:000452616500007
DA 2025-07-30
ER
PT J
AU Khandeparker, L
Kale, D
Hede, N
Anil, AC
AF Khandeparker, Lidita
Kale, Dipesh
Hede, Niyati
Anil, Arga Chandrashekar
TI Application of functional metagenomics in the evaluation of microbial
community dynamics in the Arabian Sea: Implications of environmental
settings
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
DT Article
AB Ocean microbial communities form the base of marine food webs, facilitating energy transfer and nutrient cycling, thereby supporting higher trophic levels. We investigated their composition and functional profiles across depths (surface waters 0, 29, and 63 m and bottom waters 100, 150, and 200 m) in the central-eastern Arabian Sea (CEAS) using next-generation sequencing. It was hypothesized that the composition and functional diversity of these communities would be influenced by depth and environmental parameters. Our research showed that microbial communities vary with depth and are shaped by environmental factors like irradiance, temperature, dissolved oxygen, suspended particulate matter, chlorophyll a , and ammonia concentrations. Cyanobacteria ( Prochlorococcus sp) and Mamiellaceae, belonging to picoeukaryotes, exhibited distinct depth- specific distributions up to subsurface chlorophyll maxima (SCM) at 63 m. On the other hand, a community shift in the microbial communities comprising Firmicutes, Bacteroidetes, and Actinobacteria phyla was observed at the deeper water depths. The profiling of functional genes pointed out the expression of carbon fixation by photosynthetic organisms at the surface (0, 29, and 63 m), which shifted to prokaryotic carbon fixation in deeper waters (0, 150, and 200 m). Microcosm experiments (mixing of surface water with water from the SCM) carried out simulating disturbances such as climate change forced mixing (cyclones), revealed shifts in microbial structure and function. It was observed that within 48 h, the carbon fixation activity changed from photosynthetic organisms to prokaryotes and indicated an increase in stress-related biosynthetic pathways such as expression of quorum sensing, biosynthesis of antibiotics, lipopolysaccharides, and secondary metabolites. These findings have implications for predictive modelling of food web dynamics and fisheries management in the context of climate change.
C1 [Khandeparker, Lidita; Kale, Dipesh; Hede, Niyati; Anil, Arga Chandrashekar] Natl Inst Oceanog, CSIR, Panaji 403004, Goa, India.
RP Khandeparker, L (corresponding author), Natl Inst Oceanog, CSIR, Panaji 403004, Goa, India.
EM klidita@nio.res.in
CR Akter S, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-43306-4
Albin KJ, 2023, MAR ENVIRON RES, V187, DOI 10.1016/j.marenvres.2023.105972
Albin KJ, 2022, PROG OCEANOGR, V203, DOI 10.1016/j.pocean.2022.102779
Amberkar U, 2022, MAR BIOL RES, V18, P117, DOI 10.1080/17451000.2022.2086700
Anas A, 2023, REG STUD MAR SCI, V67, DOI 10.1016/j.rsma.2023.103206
Andrews S., 2010, FASTQC QUALITY CONTR
Anil AC, 2021, J ENVIRON MANAGE, V288, DOI 10.1016/j.jenvman.2021.112390
Bandekar M, 2018, DEEP-SEA RES PT II, V156, P4, DOI 10.1016/j.dsr2.2017.12.015
Barbieux M, 2019, BIOGEOSCIENCES, V16, P1321, DOI 10.5194/bg-16-1321-2019
Bauer A, 2021, MICROB PHYSIOL, V31, P99, DOI 10.1159/000516427
Bemal S, 2018, J MARINE SYST, V180, P37, DOI 10.1016/j.jmarsys.2017.12.007
BURKILL PH, 1993, DEEP-SEA RES PT II, V40, P643, DOI 10.1016/0967-0645(93)90049-S
Chndrasekhararao AV, 2022, DEEP-SEA RES PT I, V179, DOI 10.1016/j.dsr.2021.103679
Chowdhury RR, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2019JC015836
Christaki U, 1999, LIMNOL OCEANOGR, V44, P52, DOI 10.4319/lo.1999.44.1.0052
Cornec M, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2020GB006759
Dang HY, 2016, MICROBIOL MOL BIOL R, V80, P91, DOI 10.1128/MMBR.00037-15
Deshpande M, 2021, CLIM DYNAM, V57, P3545, DOI 10.1007/s00382-021-05880-z
deSousa SN, 1996, CURR SCI INDIA, V71, P847
Divya B, 2011, WORLD J MICROB BIOT, V27, P2821, DOI 10.1007/s11274-011-0760-0
Ducklow HW, 2001, DEEP-SEA RES PT II, V48, P1303, DOI 10.1016/S0967-0645(00)00140-5
Edgar RC, 2011, BIOINFORMATICS, V27, P2194, DOI 10.1093/bioinformatics/btr381
Eswaran R, 2021, ACTA OECOL, V110, DOI 10.1016/j.actao.2020.103697
Fernandes GL, 2019, INDIAN J MICROBIOL, V59, P193, DOI 10.1007/s12088-019-00786-1
Fernandes V, 2022, CONT SHELF RES, V243, DOI 10.1016/j.csr.2022.104751
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Fuller NJ, 2006, LIMNOL OCEANOGR, V51, P2515, DOI 10.4319/lo.2006.51.6.2515
Ganesh Kumar A., 2020, Dynamics of the Earth System: Evolution, Processes and Interactions: Contributions from Scientific Ocean Drilling, P277
Ganguly D, 2021, MAR GEOD, V44, P70, DOI 10.1080/01490419.2020.1838675
Gardade L, 2024, MAR ECOL-EVOL PERSP, V45, DOI 10.1111/maec.12807
Garg S, 2024, ENVIRON RES, V240, DOI 10.1016/j.envres.2023.117528
Gershenzon J, 2007, NAT CHEM BIOL, V3, P408, DOI 10.1038/nchembio.2007.5
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gomes J, 2018, DEEP-SEA RES PT II, V156, P34, DOI 10.1016/j.dsr2.2017.12.012
Gong X, 2015, BIOGEOSCIENCES, V12, P905, DOI 10.5194/bg-12-905-2015
Grashoff K., 1983, Methods of Seawater Analysis, P419
Gupta GVM, 2016, J GEOPHYS RES-BIOGEO, V121, P159, DOI 10.1002/2015JG003163
Hafza S, 2024, J MAR SCI ENG, V12, DOI 10.3390/jmse12101796
Hansell DA, 1998, DEEP-SEA RES PT II, V45, P2171, DOI 10.1016/S0967-0645(98)00067-8
He YH, 2018, J OCEANOL LIMNOL, V36, P1570, DOI 10.1007/s00343-018-7110-0
Hede N, 2020, HYDROBIOLOGIA, V847, P4249, DOI 10.1007/s10750-020-04411-x
Husin AE, 2024, CIV ENG J-TEHRAN, V10, P714, DOI 10.28991/CEJ-2024-010-03-04
Jain A, 2014, AQUAT MICROB ECOL, V73, P51, DOI 10.3354/ame01704
Jasna V, 2020, REG STUD MAR SCI, V39, DOI 10.1016/j.rsma.2020.101414
Kanehisa M, 2000, NUCLEIC ACIDS RES, V28, P27, DOI 10.1093/nar/28.1.27
Karthikeyan A, 2022, J GENET ENG BIOTECHN, V20, DOI 10.1186/s43141-021-00290-4
Kertesz MA, 2019, HAND HYD LIPID MICRO, P105, DOI 10.1007/978-3-030-14796-9_9
Khandeparker L, 2021, AQUAT SCI, V83, DOI 10.1007/s00027-020-00770-8
Khandeparker L, 2020, J ENVIRON MANAGE, V273, DOI 10.1016/j.jenvman.2020.111018
Khandeparker L, 2018, AQUAT SCI, V80, DOI 10.1007/s00027-018-0590-3
Khandeparker L, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-016-5687-3
Kumar M, 2022, MAR POLLUT BULL, V180, DOI 10.1016/j.marpolbul.2022.113732
Kumar R, 2019, GENE, V701, P55, DOI 10.1016/j.gene.2019.02.099
Kumar SP, 2009, MAR ENVIRON RES, V68, P217, DOI 10.1016/j.marenvres.2009.06.010
Kumar SP, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2002GL016013
Kumar SP, 1996, CURR SCI INDIA, V71, P834
Lami R, 2009, ENVIRON MICROBIOL, V11, P3201, DOI 10.1111/j.1462-2920.2009.02028.x
Leconte J, 2020, GENES-BASEL, V11, DOI 10.3390/genes11010066
Li YD, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00623
Liu JW, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00064
Loscher C.R., 2024, The Indian Ocean and its Role in the Global Climate System, P351
Madhupratap M, 1996, NATURE, V384, P549, DOI 10.1038/384549a0
Mahapatra GP, 2020, CURR MICROBIOL, V77, P645, DOI 10.1007/s00284-019-01698-5
Mann AJ, 2013, APPL ENVIRON MICROB, V79, P6813, DOI 10.1128/AEM.01937-13
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Marimuthu J, 2022, GENOMICS, V114, DOI 10.1016/j.ygeno.2022.110524
Marin B, 2010, PROTIST, V161, P304, DOI 10.1016/j.protis.2009.10.002
Medina-Silva R, 2018, J MARINE SYST, V178, P52, DOI 10.1016/j.jmarsys.2017.10.008
Menezes LD, 2020, J MARINE SYST, V209, DOI 10.1016/j.jmarsys.2018.05.007
Metsalu T, 2015, NUCLEIC ACIDS RES, V43, pW566, DOI 10.1093/nar/gkv468
Mignot A, 2014, GLOBAL BIOGEOCHEM CY, V28, P856, DOI 10.1002/2013GB004781
Miller JI, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00995
Monier A, 2016, ENV MICROBIOL REP, V8, P461, DOI 10.1111/1758-2229.12390
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Mulla A, 2018, DEEP-SEA RES PT II, V156, P27, DOI 10.1016/j.dsr2.2017.12.014
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nagpal S, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03336
Nagpal S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0148347
Nampoothiri SVN, 2022, CONT SHELF RES, V236, DOI 10.1016/j.csr.2022.104678
Nandakumar K, 2023, REG STUD MAR SCI, V62, DOI 10.1016/j.rsma.2023.102977
Naqvi SWA, 2010, BIOGEOSCIENCES, V7, P2159, DOI 10.5194/bg-7-2159-2010
Ngugi DK, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050274
Paingankar MS, 2020, CURR SCI INDIA, V118, P1042, DOI 10.18520/cs/v118/i7/1042-1051
Pandey A, 2013, INT J PHARM RES ALLI, V2, P56
Parab AS, 2024, REG STUD MAR SCI, V78, DOI 10.1016/j.rsma.2024.103768
Parab AS, 2024, MAR ENVIRON RES, V199, DOI 10.1016/j.marenvres.2024.106616
Parsons T.R., 1984, MANUAL CHEM BIOL MET, V1, P173
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pujalte M.J., 2014, The family Rhodobacteraceae, P439, DOI [DOI 10.1007/978-3-642-30197-1377, DOI 10.1007/978-3-642-30197-1_377]
Raiyani NM, 2020, GENOMICS, V112, P4361, DOI 10.1016/j.ygeno.2020.07.024
Rajaneesh KM, 2020, ADVANCES IN CYANOBACTERIAL BIOLOGY, P35, DOI 10.1016/B978-0-12-819311-2.00003-6
Ramaiah N, 1996, CURR SCI INDIA, V71, P878
Ramaiah N, 2000, P INDIAN AS-EARTH, V109, P443
Rangamaran VR, 2023, MICROB ECOL, V85, P357, DOI 10.1007/s00248-021-01952-z
Rekadwad BN, 2024, BMC MICROBIOL, V24, DOI 10.1186/s12866-024-03295-4
Roxy MK, 2014, J CLIMATE, V27, P8501, DOI 10.1175/JCLI-D-14-00471.1
Roy R, 2015, PROG OCEANOGR, V137, P250, DOI 10.1016/j.pocean.2015.06.010
Roy R, 2015, J MARINE SYST, V144, P81, DOI 10.1016/j.jmarsys.2014.11.009
Sachithanandam V, 2020, SAUDI J BIOL SCI, V27, P2065, DOI 10.1016/j.sjbs.2020.06.011
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shah HM, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105858
Shankar D, 2019, PROG OCEANOGR, V172, P124, DOI 10.1016/j.pocean.2018.11.006
Shankar D, 2016, CLIM DYNAM, V47, P1049, DOI 10.1007/s00382-015-2888-3
Singh VK, 2022, EARTH-SCI REV, V226, DOI 10.1016/j.earscirev.2022.103967
Smilauer P., 2003, Multivariate Analysis of Ecological Data Using CANOCO
Smith SL, 1998, DEEP-SEA RES PT II, V45, P1905, DOI 10.1016/S0967-0645(98)00058-7
Su XY, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24108617
Sun J, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.65, 10.1038/nmicrobiol.2016.65]
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
ter Braak C.J. F., 1988, CANOCO REFERENCE MAN
TERBRAAK CJF, 1995, AQUAT SCI, V57, P255, DOI 10.1007/BF00877430
Ulloa O, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2025638118
Vaulot D, 2008, FEMS MICROBIOL REV, V32, P795, DOI 10.1111/j.1574-6976.2008.00121.x
Vázquez-Baeza Y, 2013, GIGASCIENCE, V2, DOI 10.1186/2047-217X-2-16
Vijayan AK, 2021, J MARINE SYST, V215, DOI 10.1016/j.jmarsys.2020.103501
Vijayan J, 2023, ENVIRON SCI POLLUT R, V30, P28383, DOI 10.1007/s11356-023-25195-2
Vipindas PV, 2020, REG STUD MAR SCI, V35, DOI 10.1016/j.rsma.2020.101153
Wang J, 2016, ACTA OCEANOL SIN, V35, P85, DOI 10.1007/s13131-016-0871-4
Wang YH, 2023, DIVERSITY-BASEL, V15, DOI 10.3390/d15070865
Ward BB, 2009, NATURE, V461, P78, DOI 10.1038/nature08276
Waskiewicz A, 2014, Encyclopedia of Food Microbiology, P938, DOI DOI 10.1016/B978-0-12-384730-0.00126-9
Whiteley AS, 2012, J MICROBIOL METH, V91, P80, DOI 10.1016/j.mimet.2012.07.008
Wiggert JD, 2002, DEEP-SEA RES PT II, V49, P2319, DOI 10.1016/S0967-0645(02)00039-5
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Xu WL, 2022, SCI TOTAL ENVIRON, V820, DOI 10.1016/j.scitotenv.2022.153243
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zwirglmaier K, 2009, ENVIRON MICROBIOL, V11, P1767, DOI 10.1111/j.1462-2920.2009.01902.x
NR 128
TC 1
Z9 1
PD JAN
PY 2025
VL 373
AR 123449
DI 10.1016/j.jenvman.2024.123449
EA NOV 2024
UT WOS:001370989400001
DA 2025-07-30
ER
PT J
AU Fu, YY
Keats, KF
Rivkin, RB
Lang, AS
AF Fu, Yunyun
Keats, Kimberley F.
Rivkin, Richard B.
Lang, Andrew S.
TI Water mass and depth determine the distribution and diversity of
Rhodobacterales in an Arctic marine system
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB Marine Rhodobacterales are recognized as a widespread, abundant, and metabolically versatile bacterial group in the world's oceans. They also show a nearly universal conservation of the genes for production of gene transfer agents (GTAs), virus-like particles that mediate genetic exchange between cells. It is not yet clear what factors determine the distribution of the various taxonomic subgroups of this order. To address this question, we analyzed the Rhodobacterales communities in 10 seawater samples from northern Baffin Bay collected during September 2008. A conserved gene from the GTA gene cluster was used to characterize the Rhodobacterales community structure. A total of 320 clones from 10 clone libraries were sequenced, and 22 operational taxonomic units representing putative species and 13 clusters representing putative genera were identified. A cluster related to Octadecabacter comprised 59% of total clones from the northern Baffin Bay. Phylogenetic analysis of the clones showed that the Rhodobacterales communities had distinct compositions in the different water masses that were sampled. A change in community structure related to depth was also observed. Therefore, in northern Baffin Bay where two ocean currents meet and mix, the Rhodobacterales community structures were primarily determined by water mass and depth.
C1 [Fu, Yunyun; Lang, Andrew S.] Mem Univ Newfoundland, Dept Biol, St John, NF A1B 3X9, Canada.
[Keats, Kimberley F.; Rivkin, Richard B.] Mem Univ Newfoundland, Dept Ocean Sci, Ctr Ocean Sci, St John, NF A1B 3X9, Canada.
RP Lang, AS (corresponding author), Mem Univ Newfoundland, Dept Biol, St John, NF A1B 3X9, Canada.
EM aslang@mun.ca
CR Allgaier M, 2003, APPL ENVIRON MICROB, V69, P5051, DOI 10.1128/AEM.69.9.5051-5059.2003
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Baltar F, 2007, AQUAT MICROB ECOL, V50, P63, DOI 10.3354/ame01156
Biers EJ, 2008, APPL ENVIRON MICROB, V74, P2933, DOI 10.1128/AEM.02129-07
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Brinkhoff T, 2004, APPL ENVIRON MICROB, V70, P2560, DOI 10.1128/AEM.70.4.2560-2565.2003
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buchan A., 2010, HDB HYDROCARBON LIPI, V14, P1335, DOI [10.1007/978-3-540-77587-493, DOI 10.1007/978-3-540-77587-493]
Buchan A, 2009, APPL ENVIRON MICROB, V75, P7542, DOI 10.1128/AEM.00814-09
Cunliffe M, 2011, ISME J, V5, P685, DOI 10.1038/ismej.2010.170
Dang HY, 2008, APPL ENVIRON MICROB, V74, P52, DOI 10.1128/AEM.01400-07
Fu YY, 2010, AQUAT MICROB ECOL, V59, P283, DOI 10.3354/ame01398
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Galand PE, 2010, ISME J, V4, P564, DOI 10.1038/ismej.2009.134
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giebel HA, 2011, ISME J, V5, P8, DOI 10.1038/ismej.2010.87
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
GOOD IJ, 1953, BIOMETRIKA, V40, P237, DOI 10.2307/2333344
Gosink JJ, 1997, SYST APPL MICROBIOL, V20, P356, DOI 10.1016/S0723-2020(97)80003-3
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
Green DH, 2004, FEMS MICROBIOL ECOL, V47, P345, DOI 10.1016/S0168-6496(03)00298-8
Hale MS, 2006, DEEP-SEA RES PT II, V53, P2231, DOI 10.1016/j.dsr2.2006.05.039
Hanson CA, 2012, NAT REV MICROBIOL, V10, P497, DOI 10.1038/nrmicro2795
HOBBIE JE, 1977, APPL ENVIRON MICROB, V33, P1225, DOI 10.1128/AEM.33.5.1225-1228.1977
Kristensen DM, 2010, TRENDS MICROBIOL, V18, P11, DOI 10.1016/j.tim.2009.11.003
Lang AS, 2007, TRENDS MICROBIOL, V15, P54, DOI 10.1016/j.tim.2006.12.001
Lang AS, 2012, NAT REV MICROBIOL, V10, P472, DOI 10.1038/nrmicro2802
Lang AS, 2010, NUCLEIC ACIDS MOL BI, V25, P15, DOI 10.1007/978-3-642-12617-8_2
LI WKW, 1995, MAR ECOL PROG SER, V122, P1, DOI 10.3354/meps122001
Li WKW, 2001, CYTOMETRY, V44, P236, DOI 10.1002/1097-0320(20010701)44:3<236::AID-CYTO1116>3.0.CO;2-5
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Luo HW, 2012, ENVIRON MICROBIOL, V14, P41, DOI 10.1111/j.1462-2920.2011.02528.x
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Martens T, 2007, MICROB ECOL, V54, P31, DOI 10.1007/s00248-006-9165-2
Martiny JBH, 2006, NAT REV MICROBIOL, V4, P102, DOI 10.1038/nrmicro1341
McDaniel LD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043506
McDaniel LD, 2010, SCIENCE, V330, P50, DOI 10.1126/science.1192243
Melling H, 2001, ATMOS OCEAN, V39, P301, DOI 10.1080/07055900.2001.9649683
Moran MA, 2007, APPL ENVIRON MICROB, V73, P4559, DOI 10.1128/AEM.02580-06
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2012, ENVIRON MICROBIOL, V14, P1133, DOI 10.1111/j.1462-2920.2011.02694.x
Motard-Côté J, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007330
Nemergut DR, 2011, ENVIRON MICROBIOL, V13, P135, DOI 10.1111/j.1462-2920.2010.02315.x
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Parsons T.R., 1984, MANUAL CHEM BIOL MET, V1, P173
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Pinhassi J, 2003, MAR ECOL PROG SER, V255, P1, DOI 10.3354/meps255001
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Schattenhofer M, 2009, ENVIRON MICROBIOL, V11, P2078, DOI 10.1111/j.1462-2920.2009.01929.x
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Seyedsayamdost MR, 2011, NAT CHEM, V3, P331, DOI 10.1038/NCHEM.1002
Shannon C.E., 1949, The mathematical theory of communication
SHIBA T, 1991, SYST APPL MICROBIOL, V14, P140, DOI 10.1016/S0723-2020(11)80292-4
SIMON M, 1989, MAR ECOL PROG SER, V51, P201, DOI 10.3354/meps051201
SOROKIN DY, 1995, MICROBIOLOGY+, V64, P295
Sperling M, 2012, AQUAT MICROB ECOL, V67, P25, DOI 10.3354/ame01580
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
Stanton TB, 2007, ANAEROBE, V13, P43, DOI 10.1016/j.anaerobe.2007.03.004
Tamura K, 2004, P NATL ACAD SCI USA, V101, P11030, DOI 10.1073/pnas.0404206101
Tamura K, 2007, MOL BIOL EVOL, V24, P1596, DOI 10.1093/molbev/msm092
Taniguchi A, 2008, ENVIRON MICROBIOL, V10, P1007, DOI 10.1111/j.1462-2920.2007.01521.x
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Vila-Costa M, 2010, ISME J, V4, P1410, DOI 10.1038/ismej.2010.62
Wagner-Döbler I, 2004, INT J SYST EVOL MICR, V54, P1177, DOI 10.1099/ijs.0.02850-0
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Webster NS, 2004, ENVIRON MICROBIOL, V6, P288, DOI 10.1111/j.1462-2920.2004.00570.x
Yao DH, 2011, ENVIRON MICROBIOL, V13, P1032, DOI 10.1111/j.1462-2920.2010.02408.x
Zhao YL, 2009, ISME J, V3, P364, DOI 10.1038/ismej.2008.115
NR 77
TC 20
Z9 24
PD JUN
PY 2013
VL 84
IS 3
BP 564
EP 576
DI 10.1111/1574-6941.12085
UT WOS:000318932300011
DA 2025-07-30
ER
PT J
AU Halsey, KH
Carter, AE
Giovannoni, SJ
AF Halsey, Kimberly H.
Carter, Amy E.
Giovannoni, Stephen J.
TI Synergistic metabolism of a broad range of C1 compounds in the marine
methylotrophic bacterium HTCC2181
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The 1.3 Mbp genome of HTCC2181, a member of the abundant OM43 clade of coastal bacterioplankton, suggested it is an obligate methylotroph. Preliminary experiments demonstrated that methanol and formaldehyde, but not other common C1 compounds such as methylamine, could support growth. Methanol concentrations in seawater are reportedly < 100 nM, suggesting either that the flux of methanol through plankton pools is very rapid, or that methanol may not be the primary growth substrate for HTCC2181. Therefore, we investigated the apparent extreme substrate range restriction of HTCC2181 in greater detail. Growth rate and maximum cell density of HTCC2181 increased with methanol concentration, yielding a K-s value of 19 mu M. In contrast, no growth was observed in the presence of the methylated (C1) compounds, methyl chloride, trimethylamine-oxide (TMAO) or dimethylsulfoniopropionate (DMSP) when they were the sole substrates. However, growth rate, maximum cell density and cellular ATP content were significantly enhanced when any of these methylated compounds were provided in the presence of a limiting concentration of methanol. These observations fit a model in which the metabolic intermediate formaldehyde is required for net carbon assimilation, allowing C1 substrates that do not produce a formaldehyde intermediate to be oxidized for energy, but not assimilated into biomass. Rates of methanol and TMAO oxidation and assimilation were measured with C-14-radiolabelled compounds in cultures of HTCC2181 and seawater microbial communities collected off the Oregon coast. The results indicated that in nature as well as in culture, C1 substrates are partitioned between those that are mainly oxidized to produce energy and those that are assimilated. These findings indicate that the combined fluxes of C1 compounds in coastal systems are sufficient to support significant populations of obligate methyltrophs by a metabolic strategy that involves the synergistic metabolism of multiple C1 compounds.
C1 [Halsey, Kimberly H.; Carter, Amy E.; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
RP Halsey, KH (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM halseyk@science.oregonstate.edu
CR ANTHONY C, 1983, ACTA BIOTECHNOL, V3, P261, DOI 10.1002/abio.370030310
Auman A.J., 2000, APPL ENVIRON MICROB, V66, P5229
Chen Y, 2010, APPL ENVIRON MICROB, V76, P4530, DOI 10.1128/AEM.00739-10
Chistoserdova L, 2011, ENVIRON MICROBIOL, V13, P2603, DOI 10.1111/j.1462-2920.2011.02464.x
Chistoserdova L, 2009, ANNU REV MICROBIOL, V63, P477, DOI 10.1146/annurev.micro.091208.073600
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Costello AM, 1999, APPL ENVIRON MICROB, V65, P5066
Crowther GJ, 2008, J BACTERIOL, V190, P5057, DOI 10.1128/JB.00228-08
deZwart JMM, 1996, FEMS MICROBIOL ECOL, V20, P261, DOI 10.1016/0168-6496(96)00038-4
Dixon JL, 2011, ISME J, V5, P704, DOI 10.1038/ismej.2010.169
Dunstan W.R, 1899, J CHEM SOC T, V75, P1004, DOI [10.1039/CT8997501004, DOI 10.1039/CT8997501004]
Fredrickson KA, 2009, J PLANKTON RES, V31, P135, DOI 10.1093/plankt/fbn112
Galand PE, 2008, LIMNOL OCEANOGR, V53, P813, DOI 10.4319/lo.2008.53.2.0813
Gibb SW, 2004, MAR CHEM, V91, P65, DOI 10.1016/j.marchem.2004.04.005
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
GOSSETT JM, 1987, ENVIRON SCI TECHNOL, V21, P202, DOI 10.1021/es00156a012
Gui-Peng Y, 2010, CHINESE J ANAL CHEM, V38, P719, DOI 10.1016/S1872-2040(09)60046-3
HAMILTON RD, 1967, LIMNOL OCEANOGR, V12, P319, DOI 10.4319/lo.1967.12.2.0319
Heikes BG, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/2002GB001895
Kalyuzhnaya MG, 2008, J BACTERIOL, V190, P3817, DOI 10.1128/JB.00180-08
Kalyuzhnaya MG, 2006, INT J SYST EVOL MICR, V56, P2517, DOI 10.1099/ijs.0.64422-0
Kalyuzhnaya MG, 2005, APPL ENVIRON MICROB, V71, P8846, DOI 10.1128/AEM.71.12.8846-8854.2005
Kalyuzhnaya MG, 2005, ENVIRON MICROBIOL, V7, P1269, DOI 10.1111/j.1462-2920.2004.00831.x
KEMP PF, 1993, APPL ENVIRON MICROB, V59, P2594, DOI 10.1128/AEM.59.8.2594-2601.1993
KIMURA T, 1990, AGR BIOL CHEM TOKYO, V54, P2819, DOI 10.1080/00021369.1990.10870440
King GM, 2007, NAT REV MICROBIOL, V5, P107, DOI 10.1038/nrmicro1595
Lin CN, 2010, J BIOMED SCI, V17, DOI 10.1186/1423-0127-17-84
Malin G, 2006, SCIENCE, V314, P607, DOI 10.1126/science.1133279
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
McAnulla C, 2001, FEMS MICROBIOL LETT, V201, P151, DOI 10.1016/S0378-1097(01)00256-7
Miller JA, 2005, INT J SYST EVOL MICR, V55, P1247, DOI 10.1099/ijs.0.63409-0
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Nercessian O, 2005, APPL ENVIRON MICROB, V71, P6885, DOI 10.1128/AEM.71.11.6885-6899.2005
Neufeld JD, 2008, APPL ENVIRON MICROB, V74, P7321, DOI 10.1128/AEM.01266-08
Neufeld JD, 2007, ISME J, V1, P480, DOI 10.1038/ismej.2007.65
Oelgeschläger E, 2009, MOL MICROBIOL, V72, P1260, DOI 10.1111/j.1365-2958.2009.06723.x
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Reisch CR, 2008, J BACTERIOL, V190, P8018, DOI 10.1128/JB.00770-08
Schaefer JK, 2002, INT J SYST EVOL MICR, V52, P851, DOI [10.1099/ijs.0.01960-0, 10.1099/00207713-52-3-851]
Schäfer H, 2007, APPL ENVIRON MICROB, V73, P2580, DOI 10.1128/AEM.02074-06
Schmidt S, 2010, MICROBIOL-SGM, V156, P2575, DOI 10.1099/mic.0.038570-0
Sekar R, 2004, APPL ENVIRON MICROB, V70, P6210, DOI 10.1128/AEM.70.10.6210-6219.2004
Singh H, 2000, J GEOPHYS RES-ATMOS, V105, P3795, DOI 10.1029/1999JD900779
Sinha V, 2007, ATMOS CHEM PHYS, V7, P739, DOI 10.5194/acp-7-739-2007
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Studer A, 2002, J BACTERIOL, V184, P3476, DOI 10.1128/JB.184.13.3476-3484.2002
Studer A, 2001, EUR J BIOCHEM, V268, P2931, DOI 10.1046/j.1432-1327.2001.02182.x
Sunda W, 2002, NATURE, V418, P317, DOI 10.1038/nature00851
Vorholt JA, 2000, J BACTERIOL, V182, P6645, DOI 10.1128/JB.182.23.6645-6650.2000
Waller JC, 2010, P NATL ACAD SCI USA, V107, P10412, DOI 10.1073/pnas.0911586107
Williams J, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020012
NR 56
TC 65
Z9 68
PD MAR
PY 2012
VL 14
IS 3
BP 630
EP 640
DI 10.1111/j.1462-2920.2011.02605.x
UT WOS:000302539900007
DA 2025-07-30
ER
PT J
AU Brown, MV
Donachie, SP
AF Brown, Mark V.
Donachie, Stuart P.
TI Evidence for tropical endemicity in the Deltaproteobacteria Marine Group
B/SAR324 bacterioplankton clade
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB The fine-scale phylogeny of the deeply branching Deltaproteobacteria Marine Group B/SAR324 (MGB/SAR324) bacterioplankton clade was analyzed using partial 16S rRNA gene sequence and internal transcribed spacer (ITS) sequences. Both sets of analyses revealed considerable sequence variation, which, along with bootstrap calculations, strongly support the discrimination of 3 'species' level clusters (i.e. displaying < 98% within-cluster and > 97% between-cluster 16S rRNA gene sequence identity) within this clade, which are here designated as MGB/SAR324 clade groups I and II and the MGB/SAR276 clade. The biogeographical ranges of these 3 clades were analyzed using newly acquired 16S and ITS sequences from Stn ALOHA (22.45 degrees N, 158 degrees W), along with sequences available in the public domain. MGB/SAR324 clade group I and the MBG/SAR276 clade display a clearly restricted distribution, occurring only in tropical and subtropical waters at depths < 250 m. These groups represent the first reported species- and genus-level phylotypes displaying a 'tropical-only' global distribution. MGB/SAR324 clade group II, which has been previously described as ubiquitous, occurs across the latitudinal gradient, but is generally restricted to deep, colder waters in the lower latitudes. Enzyme sequences associated at least with MGB/SAR324 clade group II appear to indicate a role for this group in dissolved organic phosphate cycling.
C1 Univ Hawaii, NASA, Astrobiol Inst, Honolulu, HI 96822 USA.
Univ Hawaii, Dept Microbiol, Honolulu, HI 96822 USA.
RP Brown, MV (corresponding author), Univ Hawaii, NASA, Astrobiol Inst, PSB211,2565 McCarthy Hall, Honolulu, HI 96822 USA.
EM mbrown@ifa.hawaii.edu
CR [Anonymous], 2004, PHYLIP PHYLOGENY INF
Baas Becking L.G.M., 1934, GEOBIOLOGIE INLEIDIN
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Beijerinck MW., 1913, Jaarboek van de Koninklijke Akademie voor Wetenschappen, P119
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dolan JR, 2005, AQUAT MICROB ECOL, V41, P39, DOI 10.3354/ame041039
Dotson SB, 1996, J BIOL CHEM, V271, P25754, DOI 10.1074/jbc.271.42.25754
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
Frias-Lopez J, 2002, APPL ENVIRON MICROB, V68, P2214, DOI 10.1128/AEM.68.5.2214-2228.2002
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Gallagher JM, 2004, FEMS MICROBIOL ECOL, V47, P249, DOI 10.1016/S0168-6496(03)00281-2
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Huson DH, 2006, MOL BIOL EVOL, V23, P254, DOI 10.1093/molbev/msj030
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
López-García P, 2001, FEMS MICROBIOL ECOL, V36, P193, DOI 10.1016/S0168-6496(01)00133-7
López-López A, 2005, ENVIRON MICROBIOL, V7, P649, DOI 10.1111/j.1462-2920.2005.00733.x
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Pommier T, 2005, AQUAT MICROB ECOL, V41, P79, DOI 10.3354/ame041079
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Yamaguchi H, 2005, J PLANKTON RES, V27, P603, DOI 10.1093/plankt/fbi027
Zaballos M, 2006, FEMS MICROBIOL ECOL, V56, P389, DOI 10.1111/j.1574-6941.2006.00060.x
NR 33
TC 19
Z9 22
PD FEB 2
PY 2007
VL 46
IS 2
BP 107
EP 115
DI 10.3354/ame046107
UT WOS:000244426800001
DA 2025-07-30
ER
PT J
AU Pommier, T
Pinhassi, J
Hagström, Å
AF Pommier, T
Pinhassi, J
Hagström, Å
TI Biogeographic analysis of ribosomal RNA clusters from marine
bacterioplankton
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Bacterial cosmopolitanism, which has for a long time been accepted by most microbiologists, confronts recent reports of endemic species and restricted distributions. From a marine perspective, our current knowledge is lacking global pictures of bacterioplankton distribution. Public databases storing nucleotide sequences grow daily from recurrent environmental analyses of the microbial community using the small subunit ribosomal RNA gene (SSU rDNA) sequence as a marker of bacterial occurrence. These studies significantly contribute to our understanding of the global microbial processes. To address the question of whether marine bacterioplankton are cosmopolitan, 7070 SSU rDNA sequences submitted to GenBank were analyzed for sampling information and clustered into distinct ribotypes, based on sequence similarity levels. The resulting distribution maps displayed remarkable patterns of distributions of some members of the bacterioplankton community. Despite a strong bias toward sampling sites in the northern temperate regions of the globe, specific ribotypes showed ubiquitous dispersal whereas other ribotypes showed a distribution restricted to polar regions. These results suggest that marine bacterioplankton components present unexpected global patterns of distributions, where cosmopolitanism appears as an occasional trait.
C1 Kalmar Univ, S-39182 Kalmar, Sweden.
RP Kalmar Univ, S-39182 Kalmar, Sweden.
EM ake.hagstrom@hik.se
CR Abell GCJ, 2005, FEMS MICROBIOL ECOL, V51, P265, DOI 10.1016/j.femsec.2004.09.001
Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
BAYLOR ER, 1977, SCIENCE, V198, P575, DOI 10.1126/science.918656
Béjà O, 2002, APPL ENVIRON MICROB, V68, P335, DOI 10.1128/AEM.68.1.335-345.2002
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
BLANCHARD DC, 1970, SCIENCE, V170, P626, DOI 10.1126/science.170.3958.626
Brock ThomasD., 1961, MILESTONES MICROBIOL
Carr N G., 1994, The Molecular Biology of Cyanobacteria, P27, DOI [DOI 10.1007/978-94-011-0227-8_2, 10.1007/978-94-011-0227-8_2]
Cho JC, 2000, APPL ENVIRON MICROB, V66, P5448, DOI 10.1128/AEM.66.12.5448-5456.2000
Cohan FM, 2002, ANNU REV MICROBIOL, V56, P457, DOI 10.1146/annurev.micro.56.012302.160634
Coleman AW, 2001, J PHYCOL, V37, P836, DOI 10.1046/j.1529-8817.2001.01043.x
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Darling KF, 2000, NATURE, V405, P43, DOI 10.1038/35011002
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Fenchel T, 2004, BIOSCIENCE, V54, P777, DOI 10.1641/0006-3568(2004)054[0777:TUOSSP]2.0.CO;2
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Finlay BJ, 2002, SCIENCE, V296, P1061, DOI 10.1126/science.1070710
Finlay BJ, 1999, PROTIST, V150, P419, DOI 10.1016/S1434-4610(99)70042-8
Finlay BJ, 1998, INT J PARASITOL, V28, P29, DOI 10.1016/S0020-7519(97)00167-7
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
González MA, 2001, J PHYCOL, V37, P604, DOI 10.1046/j.1529-8817.2001.037004604.x
Griffin DW., 2001, AEROBIOLOGIA, V17, P203, DOI [10.1023/A:1011868218901, DOI 10.1023/A:1011868218901]
Hagström Å, 2000, AQUAT MICROB ECOL, V21, P231, DOI 10.3354/ame021231
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Hollibaugh JT, 2002, APPL ENVIRON MICROB, V68, P1478, DOI 10.1128/AEM.68.3.1478-1484.2002
Knowlton N, 2003, AM NAT, V162, pS51, DOI 10.1086/378684
Long RA, 2001, APPL ENVIRON MICROB, V67, P4975, DOI 10.1128/AEM.67.11.4975-4983.2001
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Papke RT, 2003, ENVIRON MICROBIOL, V5, P650, DOI 10.1046/j.1462-2920.2003.00460.x
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
STADEN R, 1979, NUCLEIC ACIDS RES, V6, P2601, DOI 10.1093/nar/6.7.2601
Staley JT, 1999, ANNU REV MICROBIOL, V53, P189, DOI 10.1146/annurev.micro.53.1.189
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Taylor MW, 2005, ENVIRON MICROBIOL, V7, P419, DOI 10.1111/j.1462-2920.2004.00711.x
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Venter JC, 2003, NAT GENET, V33, P219, DOI 10.1038/ng1114
Ward BB, 2002, APPL ENVIRON MICROB, V68, P4153, DOI 10.1128/AEM.68.8.4153-4157.2002
WATERBURY JB, 1979, NATURE, V277, P293, DOI 10.1038/277293a0
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
Whitaker RJ, 2003, SCIENCE, V301, P976, DOI 10.1126/science.1086909
NR 52
TC 71
Z9 81
PD NOV 11
PY 2005
VL 41
IS 1
BP 79
EP 89
DI 10.3354/ame041079
UT WOS:000233696000008
DA 2025-07-30
ER
PT J
AU Pajares, S
AF Pajares, Silvia
TI Unraveling the distribution patterns of bacterioplankton in a mesoscale
cyclonic eddy confined to an oxygen-depleted basin
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Mesoscale eddies in oxygen minimum zones profoundly affect the structure and productivity of marine planktonic communities and alter key biogeochemical cycles. The influence of a mesoscale cyclonic eddy on the spatial distribution of bacterioplankton was investigated in a semi-enclosed, oxygen-depleted basin in the Gulf of California, Mexico. Most of the bacterial taxa showed a strong vertical distribution from oxygen-rich surface waters to anoxic bottom waters, but also a horizontal distribution pattern in the upper ocean associated with the eddy presence. Synechococcocales, Flavobacteriales, SAR86, and Actinomarinales were abundant in the euphotic zone within the Gulf of California water mass, whereas SAR324, SAR406, SAR202, SUP05, Arctic97B-4, and Thioglobaceae dominated the bottom layer of this basin within the Subtropical Subsurface water mass. In contrast, bacterial taxa with a preference for mesopelagic waters (Thiomicrospirales, SAR324, SAR202, HOC36, UBA10353 marine group, and Nitrospinales) dominated surface waters of the eddy center where common surface taxa (Synechococcus, SAR86, and Actinomarinales) were scarce. These changes in community composition led to a distinct diversity of bacterioplankton between the center and edges of the eddy within the euphotic zone. These results show the strong role of oxygen and water masses in controlling the vertical distribution of bacterioplankton, whereas the eddy more strongly modifies the bacterial assemblage in the upper ocean.
C1 [Pajares, Silvia] Univ Nacl Autonoma Mexico, Inst Ciencias Mar & Limnol, Unidad Acad Ecol & Biodiversidad Acuat, Mexico City 04510, DF, Mexico.
RP Pajares, S (corresponding author), Univ Nacl Autonoma Mexico, Inst Ciencias Mar & Limnol, Unidad Acad Ecol & Biodiversidad Acuat, Mexico City 04510, DF, Mexico.
EM spajares@cmarl.unam.mx
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Aldunate M, 2018, DEEP-SEA RES PT II, V156, P68, DOI 10.1016/j.dsr2.2018.02.001
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Arndt DS, 2019, B AM METEOROL SOC, V100, pS1
Baltar F, 2010, ISME J, V4, P975, DOI 10.1038/ismej.2010.33
Bandekar M, 2018, DEEP-SEA RES PT II, V156, P4, DOI 10.1016/j.dsr2.2017.12.015
Bardou P, 2014, BMC BIOINFORMATICS, V15, DOI 10.1186/1471-2105-15-293
Behrenfeld MJ, 2014, ANNU REV MAR SCI, V6, P167, DOI 10.1146/annurev-marine-052913-021325
Berg C, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00055
Bertagnolli AD, 2018, NAT REV MICROBIOL, V16, P723, DOI 10.1038/s41579-018-0087-z
Bertagnolli AD, 2017, ENVIRON MICROBIOL, V19, P4392, DOI 10.1111/1462-2920.13879
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
Boras JA, 2010, LIMNOL OCEANOGR, V55, P885, DOI 10.4319/lo.2009.55.2.0885
Brandt P, 2015, BIOGEOSCIENCES, V12, P489, DOI 10.5194/bg-12-489-2015
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Cavan EL, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14847
Chelton DB, 2011, SCIENCE, V334, P328, DOI 10.1126/science.1208897
Coria-Monter E, 2017, ESTUAR COAST SHELF S, V196, P290, DOI 10.1016/j.ecss.2017.07.010
Coria-Monter E, 2014, J GEOPHYS RES-OCEANS, V119, P6258, DOI 10.1002/2014JC009916
D'Ottone MC, 2016, BIOGEOSCIENCES, V13, P2971, DOI 10.5194/bg-13-2971-2016
De Cáceres M, 2009, ECOLOGY, V90, P3566, DOI 10.1890/08-1823.1
de la Cruz RR, 2021, MAR FRESHWATER RES, V72, P1173, DOI 10.1071/MF20074
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Díez-Vives C, 2019, MOL ECOL, V28, P2846, DOI 10.1111/mec.15068
Doblin MA, 2016, PEERJ, V4, DOI 10.7717/peerj.1973
Dubinsky V, 2017, ENVIRON MICROBIOL, V19, P1077, DOI 10.1111/1462-2920.13624
Dufrene M, 1997, ECOL MONOGR, V67, P345, DOI 10.1890/0012-9615(1997)067[0345:SAAIST]2.0.CO;2
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eloe-Fadrosh EA, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2015.32, 10.1038/nmicrobiol.2015.32]
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glaubitz S, 2013, APPL ENVIRON MICROB, V79, P2767, DOI 10.1128/AEM.03777-12
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Hawley AK, 2014, P NATL ACAD SCI USA, V111, P11395, DOI 10.1073/pnas.1322132111
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hutchins DA, 2017, NAT MICROBIOL, V2, DOI 10.1038/nmicrobiol.2017.58
IOC SCOR and IAPSO, 2010, Intergovernmental oceanographic commission, DOI DOI 10.25607/OBP-1338
Karstensen J, 2015, BIOGEOSCIENCES, V12, P2597, DOI 10.5194/bg-12-2597-2015
Klindworth A, 2013, NUCLEIC ACIDS RES, V41, DOI 10.1093/nar/gks808
Lam P, 2011, ANNU REV MAR SCI, V3, P317, DOI 10.1146/annurev-marine-120709-142814
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lavik G, 2009, NATURE, V457, P581, DOI 10.1038/nature07588
Liu ST, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.580397
Löscher CR, 2015, BIOGEOSCIENCES, V12, P7467
Löscher CR, 2016, BIOGEOSCIENCES, V13, P3585, DOI 10.5194/bg-13-3585-2016
Mahadevan A, 2016, ANNU REV MAR SCI, V8, P161, DOI 10.1146/annurev-marine-010814-015912
Matear RJ, 2013, J GEOPHYS RES-OCEANS, V118, P2961, DOI 10.1002/jgrc.20202
McGillicuddy DJ, 2016, ANNU REV MAR SCI, V8, P125, DOI 10.1146/annurev-marine-010814-015606
Mehrshad M, 2018, ISME J, V12, P655, DOI 10.1038/s41396-017-0009-5
Monreal-Gómez MA, 2001, J MARINE SYST, V30, P305, DOI 10.1016/S0924-7963(01)00064-1
Morales CE, 2012, PROG OCEANOGR, V104, P17, DOI 10.1016/j.pocean.2012.04.015
Moran MA, 2016, P NATL ACAD SCI USA, V113, P3143, DOI 10.1073/pnas.1514645113
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Nelson CE, 2014, ENVIRON MICROBIOL, V16, P871, DOI 10.1111/1462-2920.12241
Oksanen Jari, 2024, CRAN
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Pajares S, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00739
Parada AE, 2016, ENVIRON MICROBIOL, V18, P1403, DOI 10.1111/1462-2920.13023
Paulmier A, 2009, PROG OCEANOGR, V80, P113, DOI 10.1016/j.pocean.2008.08.001
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Quigley LNM, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00493
Raats M. M., 1991, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Reintjes G, 2019, APPL ENVIRON MICROB, V85, DOI 10.1128/AEM.00184-19
Sabehi G, 2005, PLOS BIOL, V3, P1409, DOI 10.1371/journal.pbio.0030273
Sarma VVSS, 2020, DEEP-SEA RES PT I, V165, DOI 10.1016/j.dsr.2020.103393
Sarma VVSS, 2018, J GEOPHYS RES-BIOGEO, V123, P2145, DOI 10.1029/2018JG004447
Schütte F, 2016, BIOGEOSCIENCES, V13, P5865, DOI 10.5194/bg-13-5865-2016
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Stewart FJ, 2012, ENVIRON MICROBIOL, V14, P23, DOI 10.1111/j.1462-2920.2010.02400.x
Stramma L, 2013, BIOGEOSCIENCES, V10, P7293, DOI 10.5194/bg-10-7293-2013
Suter EA, 2018, ENVIRON MICROBIOL, V20, P693, DOI 10.1111/1462-2920.13997
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thomsen S, 2016, J GEOPHYS RES-OCEANS, V121, P476, DOI 10.1002/2015JC010878
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
van Vliet DM, 2021, ENVIRON MICROBIOL, V23, P2834, DOI 10.1111/1462-2920.15265
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Wang Q, 2007, APPL ENVIRON MICROB, V73, P5261, DOI 10.1128/AEM.00062-07
Warnes G.R., 2020, GENTLEMAN R R PACKAG
Wear EK, 2018, ENVIRON MICROBIOL, V20, P2709, DOI 10.1111/1462-2920.14091
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Zhang Y, 2011, RES MICROBIOL, V162, P320, DOI 10.1016/j.resmic.2010.12.006
Zhang Y, 2018, ECOL EVOL, V8, P4932, DOI 10.1002/ece3.4064
Zheng Q, 2019, FEMS MICROBIOL ECOL, V95, DOI 10.1093/femsec/fiz017
NR 94
TC 7
Z9 8
PD JUN
PY 2021
VL 87
BP 151
EP 166
DI 10.3354/ame01975
UT WOS:000708391000010
DA 2025-07-30
ER
PT J
AU Kirchman, DL
Yu, LY
Fuchs, BM
Amann, R
AF Kirchman, DL
Yu, LY
Fuchs, BM
Amann, R
TI Structure of bacterial communities in aquatic systems as revealed by
filter PCR
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Collection of microbial biomass and extraction of DNA are the first steps of many molecular approaches for examining uncultured microbes in aquatic ecosystems. Because of the difficulties of using large samples (up to 20 I) and the occasional ineffectiveness of DNA isolation procedures, we examined an alternative approach, 'filter PCR', which consists of filtering small volumes through polycarbonate filters and using sections of a filter directly in PCR. Positive amplification was achieved with as little as 25 mul of coastal seawater, corresponding to about 10000 bacterial cells, although larger volumes (1 to 10 ml, depending on bacterial abundance) gave more consistent results. Denaturing gradient gel electrophoresis (DGGE) revealed few differences in the 16S rRNA amplicons from filter PCR and from the standard approach using DNA isolated from several liters of coastal seawater. A clone library of 16S rRNA amplicons from filter PCR was slightly more diverse than a clone library constructed by the standard approach. These results allow us to explore variation in microbial community structure over a range of spatial scales and to examine the relative evenness of microbial communities in aquatic habitats. Our results indicate that filter PCR is as effective as the standard approach in retrieving bacterial genes from uncultured microbes in aquatic environments.
C1 Univ Delaware, Coll Marine Studies, Lewes, DE 19958 USA.
Max Planck Inst Marine Mikrobiol, D-28359 Bremen, Germany.
RP Kirchman, DL (corresponding author), Univ Delaware, Coll Marine Studies, 700 Pilottown Rd, Lewes, DE 19958 USA.
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Antón J, 2000, APPL ENVIRON MICROB, V66, P3052, DOI 10.1128/AEM.66.7.3052-3057.2000
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
BELAS R, 1982, SCIENCE, V218, P791, DOI 10.1126/science.10636771
Bernard L, 2000, AQUAT MICROB ECOL, V23, P1, DOI 10.3354/ame023001
Borneman J, 1997, APPL ENVIRON MICROB, V63, P2647, DOI 10.1128/AEM.63.7.2647-2653.1997
Cottrell MT, 2000, APPL ENVIRON MICROB, V66, P5116, DOI 10.1128/AEM.66.12.5116-5122.2000
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
De Boer W, 1998, SOIL BIOL BIOCHEM, V30, P193, DOI 10.1016/S0038-0717(97)00100-4
DEGIORGI C, 1994, MOL CELL PROBE, V8, P459, DOI 10.1006/mcpr.1994.1065
Dunbar J, 1999, APPL ENVIRON MICROB, V65, P1662
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
Gonzalez JM, 1997, APPL ENVIRON MICROB, V63, P4237
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
HAGELBERG E, 1989, NATURE, V342, P485, DOI 10.1038/342485a0
Hagström Å, 2000, AQUAT MICROB ECOL, V21, P231, DOI 10.3354/ame021231
JOSHI AK, 1991, BIOTECHNIQUES, V10, P42
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
LONG RA, IN PRESS AQUAT MICRO
MOORE JA, 1999, THESIS U DELAWARE NE
MullerNiklas G, 1996, LIMNOL OCEANOGR, V41, P1577
MUYZER G, 1995, ARCH MICROBIOL, V164, P165, DOI 10.1007/BF02529967
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
SAIKI RK, 1988, SCIENCE, V239, P487, DOI 10.1126/science.2448875
Seymour JR, 2000, AQUAT MICROB ECOL, V22, P143, DOI 10.3354/ame022143
TSUJIBO H, 1993, J BACTERIOL, V175, P176, DOI 10.1128/JB.175.1.176-181.1993
Wallner G, 1997, APPL ENVIRON MICROB, V63, P4223, DOI 10.1128/AEM.63.11.4223-4231.1997
Wintzingerode Friedrich V., 1997, FEMS Microbiology Reviews, V21, P213
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 38
TC 50
Z9 54
PD OCT 26
PY 2001
VL 26
IS 1
BP 13
EP 22
DI 10.3354/ame026013
UT WOS:000172270400003
DA 2025-07-30
ER
PT J
AU Li, WW
Zhang, FF
Ye, Q
Wu, D
Wang, LY
Yu, YH
Deng, B
Du, JZ
AF Li, Weiwei
Zhang, Fenfen
Ye, Qi
Wu, Dan
Wang, Liying
Yu, Yihua
Deng, Bing
Du, Jinzhou
TI Composition and copper binding properties of aquatic fulvic acids in
eutrophic Taihu Lake, China
SO CHEMOSPHERE
DT Article
AB Fulvic acid (FA) plays a significant role in biogenic-elemental cycling in aquatic ecosystems which is highly dependent on their organic composition. In this study, the aquatic FA contents and binding properties during bloom and non-bloom periods in Taihu Lake were investigated by two-dimensional correlation spectroscopy Fourier transform infrared spectroscopy (2D-COS-FTIR), nuclear magnetic resonance (NMR) and elemental analysis. Compared with non-bloom FA, bloom FA was of lower nitrogen content and higher C/N ratio. It contained more carboxylic and aliphatic groups while less amide groups. 2D-COS-FTIR spectra evidenced the carboxyl groups in bloom FA had the fastest response to Cu(II) binding. Also, polysaccharide in bloom FA was more susceptive to Cu(II) concentrations than that in non bloom FA. While comparing with bloom FA, the N-rich organic compounds in non-bloom FA exhibited faster binding sequence with Cu(II). A comprehensive scheme about the interaction process of FA-Cu(II) showed that both nitrogenous and oxygenic groups in FAs were active in binding to Cu(II). The alteration in binding behaviors of organic groups in FM to Cu(II) may have been driven by algal products and microbial community variety in Taihu Lake. Our results here have the potential to contribute significantly to future studies of dissolved organic matter dynamic biogeochemistry processes and trace metal cycling processes in eutrophic lakes. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Li, Weiwei; Zhang, Fenfen; Ye, Qi; Wu, Dan; Deng, Bing; Du, Jinzhou] East China Normal Univ, State Key Lab Estuarine & Coastal Res, 3663 North Zhongshan Rd, Shanghai 200062, Peoples R China.
[Wang, Liying] Chinese Acad Sci, Wuhan Inst Phys & Math, State Key Lab Magnet Resonance & Atom & Mol Phys, Natl Ctr Magnet Resonance Wuhan, West 30 Xiao Hong Shan, Wuhan, Peoples R China.
[Yu, Yihua] East China Normal Univ, Coll Phys & Mat Sci, Shanghai Key Lab Magnet Resonance, 3663 North Zhongshan Rd, Shanghai, Peoples R China.
RP Zhang, FF (corresponding author), East China Normal Univ, State Key Lab Estuarine & Coastal Res, 3663 North Zhongshan Rd, Shanghai 200062, Peoples R China.
EM ffzhang@sklec.ecnu.edu.cn
CR Abdulla HAN, 2010, GEOCHIM COSMOCHIM AC, V74, P3815, DOI 10.1016/j.gca.2010.04.006
[Anonymous], J ENV SCI HLTH A
[Anonymous], AQUATIC MICROBIAL EC
[Anonymous], HUMIC SUBSTANCES SOI
[Anonymous], 2015, COMPUT INTEL NEUROSC
[Anonymous], METAL SPECIATION BIO
Boyer JN, 2006, HYDROBIOLOGIA, V569, P71, DOI 10.1007/s10750-006-0123-2
Brown A, 2004, MAR CHEM, V89, P327, DOI 10.1016/j.marchem.2004.02.016
Chen W, 2015, ENVIRON SCI TECHNOL, V49, P2052, DOI 10.1021/es5049495
Chen W, 2014, ENVIRON SCI TECHNOL, V48, P11119, DOI 10.1021/es502502n
Chen YW, 2003, HYDROBIOLOGIA, V506, P273, DOI 10.1023/B:HYDR.0000008604.09751.01
Croué JP, 2003, ENVIRON SCI TECHNOL, V37, P328, DOI 10.1021/es020676p
DAVIS JA, 1981, ENVIRON SCI TECHNOL, V15, P1223, DOI 10.1021/es00092a012
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Fu HB, 2006, CHEMOSPHERE, V63, P403, DOI 10.1016/j.chemosphere.2005.08.054
Ghylin TW, 2014, ISME J, V8, P2503, DOI 10.1038/ismej.2014.135
Glibert PM, 1999, APPL ENVIRON MICROB, V65, P5594
Glibert PM, 2004, MAR ECOL PROG SER, V280, P73, DOI 10.3354/meps280073
Gobler CJ, 2003, LIMNOL OCEANOGR, V48, P2314, DOI 10.4319/lo.2003.48.6.2314
Gondar D, 2005, GEODERMA, V126, P367, DOI 10.1016/j.geoderma.2004.10.006
Guan XH, 2006, J COLLOID INTERF SCI, V296, P51, DOI 10.1016/j.jcis.2005.08.050
Guéguen C, 2012, CHEMOSPHERE, V87, P932, DOI 10.1016/j.chemosphere.2012.01.047
Guibaud G, 2003, CHEMOSPHERE, V52, P1701, DOI 10.1016/S0045-6535(03)00355-2
Haitzer M, 1998, CHEMOSPHERE, V37, P1335, DOI 10.1016/S0045-6535(98)00117-9
Hertkorn N, 2008, ANAL CHEM, V80, P8908, DOI 10.1021/ac800464g
Hur J, 2011, CHEMOSPHERE, V83, P1603, DOI 10.1016/j.chemosphere.2011.01.004
Kepkay PE, 1997, MAR ECOL PROG SER, V150, P249, DOI 10.3354/meps150249
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Labille J, 2005, J COLLOID INTERF SCI, V284, P149, DOI 10.1016/j.jcis.2004.10.001
Lenhart JJ, 2010, J COLLOID INTERF SCI, V345, P556, DOI 10.1016/j.jcis.2010.02.037
Li HB, 2011, WATER RES, V45, P1702, DOI 10.1016/j.watres.2010.11.011
Louati I, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140614
Lu JH, 2004, ENVIRON POLLUT, V132, P365, DOI 10.1016/j.envpol.2004.01.015
Lu YF, 2002, WATER RES, V36, P5083, DOI 10.1016/S0043-1354(02)00240-3
Lucas J, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00321
Lutz BD, 2011, ECOLOGY, V92, P720, DOI 10.1890/10-0899.1
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Maruyama T, 2003, MICROB ECOL, V46, P279, DOI 10.1007/s00248-002-3007-7
McIntyre AM, 2013, CHEMOSPHERE, V90, P620, DOI 10.1016/j.chemosphere.2012.08.057
Merritt KA, 2003, J ENVIRON QUAL, V32, P2122, DOI 10.2134/jeq2003.2122
Mitchell PJ, 2013, ENVIRON CHEM, V10, P333, DOI 10.1071/EN13052
MOFFETT JW, 1995, DEEP-SEA RES PT I, V42, P1273, DOI 10.1016/0967-0637(95)00060-J
Mulholland MR, 2009, ESTUAR COAST, V32, P1176, DOI 10.1007/s12237-009-9218-0
Nakashima K, 2008, J MOL STRUCT, V883, P155, DOI 10.1016/j.molstruc.2007.11.027
Nebbioso A, 2013, ANAL BIOANAL CHEM, V405, P109, DOI 10.1007/s00216-012-6363-2
Ni LX, 2016, CHEMOSPHERE, V151, P37, DOI 10.1016/j.chemosphere.2016.02.012
Noda I., 2004, 2 DIMENSIONAL CORREL
O'Sullivan LA, 2005, INT J SYST EVOL MICR, V55, P2189, DOI 10.1099/ijs.0.63736-0
Paerl HW, 2011, WATER RES, V45, P1973, DOI 10.1016/j.watres.2010.09.018
Perdue EM, 2005, TREATISE GEOCHEM, V5, P273
Philippe A, 2014, ENVIRON SCI TECHNOL, V48, P8946, DOI 10.1021/es502342r
Piccolo A, 2001, SOIL SCI, V166, P810, DOI 10.1097/00010694-200111000-00007
Plaza C, 2006, ENVIRON SCI TECHNOL, V40, P917, DOI 10.1021/es051687w
Rodríguez FJ, 2011, WATER ENVIRON J, V25, P163, DOI 10.1111/j.1747-6593.2009.00205.x
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Simjouw JP, 2004, ESTUARIES, V27, P986, DOI 10.1007/BF02803425
Smith DS, 2000, ANAL CHIM ACTA, V416, P211, DOI 10.1016/S0003-2670(00)00900-4
Tang XM, 2009, MICROB ECOL, V58, P307, DOI 10.1007/s00248-008-9482-8
TIPPING E, 1993, ENVIRON SCI TECHNOL, V27, P520, DOI 10.1021/es00040a011
van Schaik JWJ, 2010, GEOCHIM COSMOCHIM AC, V74, P1391, DOI 10.1016/j.gca.2009.11.007
Wen YL, 2014, CHEMOSPHERE, V111, P441, DOI 10.1016/j.chemosphere.2014.03.078
Weng LP, 2006, ENVIRON SCI TECHNOL, V40, P7494, DOI 10.1021/es060777d
Wilkinson KJ, 1997, LIMNOL OCEANOGR, V42, P1714, DOI 10.4319/lo.1997.42.8.1714
Wu QL, 2007, ENVIRON MICROBIOL, V9, P2765, DOI 10.1111/j.1462-2920.2007.01388.x
Xu HC, 2016, CHEMOSPHERE, V145, P551, DOI 10.1016/j.chemosphere.2015.09.015
Xu HC, 2015, ENVIRON POLLUT, V197, P231, DOI 10.1016/j.envpol.2014.10.031
Xu HC, 2013, J HAZARD MATER, V263, P412, DOI 10.1016/j.jhazmat.2013.09.042
Xu HC, 2013, WATER RES, V47, P6506, DOI 10.1016/j.watres.2013.08.021
Xu S, 2013, ECOTOX ENVIRON SAFE, V94, P190, DOI 10.1016/j.ecoenv.2013.05.006
Yamamoto Y, 2009, LIMNOLOGY, V10, P185, DOI 10.1007/s10201-009-0270-z
Yan M, 2014, ENVIRON SCI TECHNOL, V48, P3177, DOI 10.1021/es4045314
Yang SQ, 2010, J GREAT LAKES RES, V36, P150, DOI 10.1016/j.jglr.2009.12.010
Yu GH, 2012, ENVIRON SCI TECHNOL, V46, P6102, DOI 10.1021/es3002212
Zhang FF, 2014, WATER RES, V57, P280, DOI 10.1016/j.watres.2014.02.051
NR 75
TC 67
Z9 80
PD APR
PY 2017
VL 172
BP 496
EP 504
DI 10.1016/j.chemosphere.2017.01.008
UT WOS:000394065200056
DA 2025-07-30
ER
PT J
AU Malmstrom, RR
Coe, A
Kettler, GC
Martiny, AC
Frias-Lopez, J
Zinser, ER
Chisholm, SW
AF Malmstrom, Rex R.
Coe, Allison
Kettler, Gregory C.
Martiny, Adam C.
Frias-Lopez, Jorge
Zinser, Erik R.
Chisholm, Sallie W.
TI Temporal dynamics of Prochlorococcus ecotypes in the Atlantic and
Pacific oceans
SO ISME JOURNAL
DT Article
AB To better understand the temporal and spatial dynamics of Prochlorococcus populations, and how these populations co-vary with the physical environment, we followed monthly changes in the abundance of five ecotypes-two high-light adapted and three low-light adapted-over a 5-year period in coordination with the Bermuda Atlantic Time Series (BATS) and Hawaii Ocean Time-series (HOT) programs. Ecotype abundance displayed weak seasonal fluctuations at HOT and strong seasonal fluctuations at BATS. Furthermore, stable 'layered' depth distributions, where different Prochlorococcus ecotypes reached maximum abundance at different depths, were maintained consistently for 5 years at HOT. Layered distributions were also observed at BATS, although winter deep mixing events disrupted these patterns each year and produced large variations in ecotype abundance. Interestingly, the layered ecotype distributions were regularly reestablished each year after deep mixing subsided at BATS. In addition, Prochlorococcus ecotypes each responded differently to the strong seasonal changes in light, temperature and mixing at BATS, resulting in a reproducible annual succession of ecotype blooms. Patterns of ecotype abundance, in combination with physiological assays of cultured isolates, confirmed that the low-light adapted eNATL could be distinguished from other low-light adapted ecotypes based on its ability to withstand temporary exposure to high-intensity light, a characteristic stress of the surface mixed layer. Finally, total Prochlorococcus and Synechococcus dynamics were compared with similar time series data collected a decade earlier at each location. The two data sets were remarkably similar-testimony to the resilience of these complex dynamic systems on decadal time scales. The ISME Journal (2010) 4, 1252-1264; doi: 10.1038/ismej.2010.60; published online 13 May 2010
C1 [Malmstrom, Rex R.; Coe, Allison; Martiny, Adam C.; Frias-Lopez, Jorge; Zinser, Erik R.; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Kettler, Gregory C.] MIT, Dept Biol, Cambridge, MA 02139 USA.
[Martiny, Adam C.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA.
[Martiny, Adam C.] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92717 USA.
[Frias-Lopez, Jorge] Forsyth Inst, Boston, MA USA.
[Zinser, Erik R.] Univ Tennessee, Dept Microbiol, Knoxville, TN 37996 USA.
RP Chisholm, SW (corresponding author), MIT, Dept Civil & Environm Engn, 15 Vassar St, Cambridge, MA 02139 USA.
EM chisholm@mit.edu
CR Ahlgren NA, 2006, ENVIRON MICROBIOL, V8, P441, DOI 10.1111/j.1462-2920.2005.00910.x
Bertilsson S, 2005, VIE MILIEU, V55, P225
Bibby TS, 2008, DEEP-SEA RES PT II, V55, P1310, DOI 10.1016/j.dsr2.2008.01.014
Bouman HA, 2006, SCIENCE, V312, P918, DOI 10.1126/science.1122692
CAMPBELL L, 1994, LIMNOL OCEANOGR, V39, P954, DOI 10.4319/lo.1994.39.4.0954
Campbell L, 1997, DEEP-SEA RES PT I, V44, P167, DOI 10.1016/S0967-0637(96)00102-1
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Cavender-Bares KK, 2001, DEEP-SEA RES PT I, V48, P2373, DOI 10.1016/S0967-0637(01)00027-9
Clausen J., 1940, CARNEGIE I WASHINGTO, V520
CLEVELAND WS, 1979, J AM STAT ASSOC, V74, P829, DOI 10.2307/2286407
Cohan FM, 2001, SYST BIOL, V50, P513, DOI 10.1080/106351501750435077
Cohan FM, 2007, CURR BIOL, V17, pR373, DOI 10.1016/j.cub.2007.03.032
Coleman ML, 2007, TRENDS MICROBIOL, V15, P398, DOI 10.1016/j.tim.2007.07.001
Coleman ML, 2006, SCIENCE, V311, P1768, DOI 10.1126/science.1122050
Corno G, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003730
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
DOI T, 1992, P NATL ACAD SCI USA, V89, P9420, DOI 10.1073/pnas.89.20.9420
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Fraser C, 2009, SCIENCE, V323, P741, DOI 10.1126/science.1159388
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Goosen N, 2008, DNA REPAIR, V7, P353, DOI 10.1016/j.dnarep.2007.09.002
Havaux M, 2003, BBA-BIOENERGETICS, V1557, P21, DOI 10.1016/S0005-2728(02)00391-2
He QF, 2001, J BIOL CHEM, V276, P306, DOI 10.1074/jbc.M008686200
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
KARL DM, 1995, NATURE, V373, P230, DOI 10.1038/373230a0
Karl DM, 1996, DEEP-SEA RES PT II, V43, P129, DOI 10.1016/0967-0645(96)00005-7
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Legendre P., 1998, NUMERICAL ECOLOGY, P637
Letelier RM, 2000, J GEOPHYS RES-OCEANS, V105, P28723, DOI 10.1029/1999JC000306
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martiny AC, 2006, P NATL ACAD SCI USA, V103, P12552, DOI 10.1073/pnas.0601301103
Martiny AC, 2009, ENVIRON MICROBIOL, V11, P823, DOI 10.1111/j.1462-2920.2008.01803.x
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Moore LR, 2007, LIMNOL OCEANOGR-METH, V5, P353, DOI 10.4319/lom.2007.5.353
Moore LR, 2005, AQUAT MICROB ECOL, V39, P257, DOI 10.3354/ame039257
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Moore LR, 1999, LIMNOL OCEANOGR, V44, P628, DOI 10.4319/lo.1999.44.3.0628
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
OLSON RJ, 1990, LIMNOL OCEANOGR, V35, P45, DOI 10.4319/lo.1990.35.1.0045
OLSON RJ, 1990, DEEP-SEA RES, V37, P1033, DOI 10.1016/0198-0149(90)90109-9
Osburne MS, 2010, ENVIRON MICROBIOL, V12, P1978, DOI 10.1111/j.1462-2920.2010.02203.x
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Promnares K, 2006, J BIOL CHEM, V281, P32705, DOI 10.1074/jbc.M606360200
Ramírez-Flandes S, 2008, BIOINFORMATICS, V24, P2539, DOI 10.1093/bioinformatics/btn466
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Sancar GB, 2000, MUTAT RES-FUND MOL M, V451, P25, DOI 10.1016/S0027-5107(00)00038-5
Six C, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0001341
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Turesson G, 1922, HEREDITAS, V3, P100, DOI 10.1111/j.1601-5223.1922.tb02727.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Ward DM, 2006, PHILOS T R SOC B, V361, P1997, DOI 10.1098/rstb.2006.1919
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
West NJ, 2001, MICROBIOL-SGM, V147, P1731, DOI 10.1099/00221287-147-7-1731
White AE, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2007JC004129
Wu JF, 2000, SCIENCE, V289, P759, DOI 10.1126/science.289.5480.759
Yao D, 2007, J BIOL CHEM, V282, P267, DOI 10.1074/jbc.M605463200
Zinser ER, 2006, APPL ENVIRON MICROB, V72, P723, DOI 10.1128/AEM.72.1.723-732.2006
Zinser ER, 2007, LIMNOL OCEANOGR, V52, P2205, DOI 10.4319/lo.2007.52.5.2205
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zwirglmaier K, 2007, ENVIRON MICROBIOL, V9, P1278, DOI 10.1111/j.1462-2920.2007.01246.x
NR 70
TC 191
Z9 211
PD OCT
PY 2010
VL 4
IS 10
BP 1252
EP 1264
DI 10.1038/ismej.2010.60
UT WOS:000282250400004
DA 2025-07-30
ER
PT J
AU Xu, PH
Reeder, CF
Loescher, CR
AF Xu, Peihang
Reeder, Christian Furbo
Loescher, Carolin Regina
TI Spatial Distribution, Diversity, and Activity of Microbial Phototrophs
in the Baltic Sea
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB Microbial plankton is essential for ocean biogeochemistry. As part of the prokaryotic phototrophic microbial community, both oxygenic phototrophs (OP) and anoxygenic phototrophs (AP) are widely distributed in the ocean and may play a significant role in carbon flow and oxygen production. However, comparative studies of microbial OP and AP have received very little attention, even though their different roles might be important in various marine environments, especially in oxygen minimum zones (OMZ). We explored the spatial distribution of the microbial community in the Baltic Sea, including an OMZ region, with a particular focus on the distribution and activity of OP and AP. We used 16S rRNA amplicon sequencing in combination with a qPCR-based quantification of photosynthesis marker genes. We found that specific bacterial groups dominated surface and intermediate depths, the OMZ, and deep waters, respectively. Salinity, temperature, oxygen, and depth were significant factors explaining the microbial community composition and distribution. A high diversity of OP and AP was observed, including OP-Chlorophyta, Diatoms, Cyanobacteria and Cryptomonads, and AP-Proteobacteria and Chloroflexota. OP were more abundant at most stations compared to AP. OP showed high photosynthetic activity and more photosynthesis activity in higher temperature and upper waters, while AP photosynthesis cannot be detected in most stations. Both, cyanobacterial and eukaryotic OP preferred to live in higher temperature and upper waters, but Cyanobacteria also preferred to live in oxic water while the whole OP community showed preference to live in higher salinity area. However, AP did not show any significant hydrochemical preference but prefer to live with OP community. The Baltic Sea is exposed to multiple climate change related stressors, such as warming, decreasing salinity, and deoxygenation. This study contributes to understanding and interpretation of how microbial community, especially phototrophic groups, might shift in their distribution and activity in a changing ocean like the Baltic Sea.
C1 [Xu, Peihang; Reeder, Christian Furbo; Loescher, Carolin Regina] Univ Southern Denmark, Dept Biol, Nordcee, Odense, Denmark.
[Reeder, Christian Furbo; Loescher, Carolin Regina] Univ Southern Denmark, Danish Inst Adv Study, Odense, Denmark.
RP Xu, PH (corresponding author), Univ Southern Denmark, Dept Biol, Nordcee, Odense, Denmark.
EM peihang@biology.sdu.dk
CR Adam N, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02873
Ahn K, 2014, KOREAN J CHEM ENG, V31, P849, DOI 10.1007/s11814-013-0274-6
Alcamán-Arias ME, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02353
Alves N, 2015, ARCH MICROBIOL, V197, P165, DOI 10.1007/s00203-014-1035-6
Auladell A, 2019, ISME J, V13, P1975, DOI 10.1038/s41396-019-0401-4
Bentzon-Tilia M, 2015, ISME J, V9, P273, DOI 10.1038/ismej.2014.119
Bibiloni-Isaksson J, 2016, ENVIRON MICROBIOL, V18, P4485, DOI 10.1111/1462-2920.13436
Boeuf D, 2013, FEMS MICROBIOL ECOL, V85, P417, DOI 10.1111/1574-6941.12130
Breitburg D, 2018, SCIENCE, V359, P46, DOI 10.1126/science.aam7240
Broman E, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02453
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Camarena-Gómez MT, 2021, LIMNOL OCEANOGR, V66, P255, DOI 10.1002/lno.11601
Cariou Marie, 2018, BMC Res Notes, V11, P461, DOI 10.1186/s13104-018-3559-3
Carstensen J, 2014, P NATL ACAD SCI USA, V111, P5628, DOI 10.1073/pnas.1323156111
Conley DJ, 2009, ENVIRON SCI TECHNOL, V43, P3412, DOI 10.1021/es802762a
Cottrell MT, 2006, APPL ENVIRON MICROB, V72, P557, DOI 10.1128/AEM.72.1.557-564.2006
Cuadrat RRC, 2016, OMICS, V20, P76, DOI 10.1089/omi.2015.0142
Dubinsky V, 2017, ENVIRON MICROBIOL, V19, P1077, DOI 10.1111/1462-2920.13624
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Farnelid H, 2013, ISME J, V7, P1413, DOI 10.1038/ismej.2013.26
Fecskeová LK, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55210-x
Fernandes GL, 2020, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.03153
Fernández-González C, 2020, J PHYCOL, V56, P818, DOI 10.1111/jpy.12983
Ferrera I, 2014, ENVIRON MICROBIOL, V16, P2953, DOI 10.1111/1462-2920.12278
Ferrera I, 2011, APPL ENVIRON MICROB, V77, P7451, DOI 10.1128/AEM.00208-11
Garcia-Chaves MC, 2016, ISME J, V10, P1579, DOI 10.1038/ismej.2015.242
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
GOLDEN SS, 1986, EMBO J, V5, P2789, DOI 10.1002/j.1460-2075.1986.tb04569.x
HALL PO, 1992, LIMNOL OCEANOGR, V37, P1113, DOI 10.4319/lo.1992.37.5.1113
Herlemann DPR, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01883
Herlemann DPR, 2011, ISME J, V5, P1571, DOI 10.1038/ismej.2011.41
Hojerová E, 2011, ENVIRON MICROBIOL, V13, P2717, DOI 10.1111/j.1462-2920.2011.02540.x
Imhoff J.F., 2017, DIVERSITY ANAEROBIC, DOI [10.1007/978-3-319-46261-5, DOI 10.1007/978-3-319-46261-5]
Imhoff JF, 2018, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02679
Jiao NZ, 2007, ENVIRON MICROBIOL, V9, P3091, DOI 10.1111/j.1462-2920.2007.01419.x
Kahru M, 2020, HARMFUL ALGAE, V92, DOI 10.1016/j.hal.2019.101739
Karl DM, 2002, NATURE, V415, P590, DOI 10.1038/415590b
Kasalicky V, 2018, APPL ENVIRON MICROB, V84, DOI 10.1128/AEM.02116-17
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Koblízek M, 2007, ENVIRON MICROBIOL, V9, P2401, DOI 10.1111/j.1462-2920.2007.01354.x
Koblízek M, 2006, DEEP-SEA RES PT II, V53, P1934, DOI 10.1016/j.dsr2.2006.03.019
Koblízek M, 2015, FEMS MICROBIOL REV, V39, P854, DOI 10.1093/femsre/fuv032
Kong WD, 2014, FEMS MICROBIOL ECOL, V89, P293, DOI 10.1111/1574-6941.12296
Koskinen K, 2011, FEMS MICROBIOL ECOL, V75, P99, DOI 10.1111/j.1574-6941.2010.00987.x
Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
Lami R, 2007, APPL ENVIRON MICROB, V73, P4198, DOI 10.1128/AEM.02652-06
Lamy D, 2011, AQUAT MICROB ECOL, V62, P153, DOI 10.3354/ame01467
Levin LA, 2018, ANNU REV MAR SCI, V10, P229, DOI 10.1146/annurev-marine-121916-063359
Li Q, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix065
Lindh MV, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00361
Linz AM, 2020, LIMNOL OCEANOGR, V65, pS101, DOI 10.1002/lno.11306
Liu RL, 2010, AQUAT MICROB ECOL, V58, P303, DOI 10.3354/ame01371
Liu XL, 2016, GEOMICROBIOL J, V33, P860, DOI 10.1080/01490451.2015.1120368
Masín M, 2006, AQUAT MICROB ECOL, V45, P247, DOI 10.3354/ame045247
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Montecchia MS, 2006, PHOTOSYNTH RES, V90, P215, DOI [10.1007/s11120-007-9129-5, 10.1007/S11120-007-9129-5]
Mur L.R., 1999, TOXIC CYANOBACTERIA, DOI DOI 10.1201/9781482295061-8
Nishimura K, 1996, PLANT CELL PHYSIOL, V37, P153, DOI 10.1093/oxfordjournals.pcp.a028926
Oksanen A.J., 2013, PACKAGE VEGAN COMMUN
Paerl H.W., 2012, ECOLOGY CYANOBACTERI, P127, DOI [DOI 10.1007/978-94-007-3855-3, 10.1007/978-94-007-3855-3_5, DOI 10.1007/978-94-007-3855-3_5]
Pajares S, 2020, MICROB ECOL, V80, P519, DOI 10.1007/s00248-020-01508-7
Peiffer JA, 2013, P NATL ACAD SCI USA, V110, P6548, DOI 10.1073/pnas.1302837110
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
R Core Team, 2020, R LANG ENV STAT COMP
Raven JA, 2009, AQUAT MICROB ECOL, V56, P177, DOI 10.3354/ame01315
Reusch TBH, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aar8195
Rutgersson A, 2014, CLIM RES, V61, P177, DOI 10.3354/cr01244
Sala MM, 2016, ICES J MAR SCI, V73, P670, DOI 10.1093/icesjms/fsv130
Salka I, 2008, APPL ENVIRON MICROB, V74, P4398, DOI 10.1128/AEM.02447-07
Santic D, 2017, MAR ENVIRON RES, V130, P134, DOI 10.1016/j.marenvres.2017.07.012
Sato-Takabe Y, 2019, MICROBIOLOGYOPEN, V8, DOI 10.1002/mbo3.710
Sharon I, 2007, ISME J, V1, P492, DOI 10.1038/ismej.2007.67
Sieracki ME, 2006, LIMNOL OCEANOGR, V51, P38, DOI 10.4319/lo.2006.51.1.0038
Sieradzki ET, 2018, PEERJ, V6, DOI 10.7717/peerj.5798
Skytte Andersen K.S., 2018, ampvis2: An R Package to Analyse and Visualise 16S rRNA Amplicon Data, P299537, DOI DOI 10.1101/299537, Patent No. 299537
Soo RM, 2015, PEERJ, V3, DOI 10.7717/peerj.968
Soo RM, 2014, GENOME BIOL EVOL, V6, P1031, DOI 10.1093/gbe/evu073
Stevens H, 2008, ENVIRON MICROBIOL, V10, P1244, DOI 10.1111/j.1462-2920.2007.01539.x
Ston J, 2002, OCEANOLOGIA, V44, P419
Stramma L, 2008, SCIENCE, V320, P655, DOI 10.1126/science.1153847
Takolander A, 2017, J SEA RES, V123, P16, DOI 10.1016/j.seares.2017.03.007
Thureborn P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0074983
Tomasch J, 2011, ISME J, V5, P1957, DOI 10.1038/ismej.2011.68
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vahtera E, 2007, AMBIO, V36, P186, DOI 10.1579/0044-7447(2007)36[186:IEFENC]2.0.CO;2
Vila-Costa M, 2013, ENVIRON MICROBIOL, V15, P1190, DOI 10.1111/1462-2920.12033
Voget S, 2015, ISME J, V9, P371, DOI 10.1038/ismej.2014.134
Wasmund N, 2003, ICES J MAR SCI, V60, P177, DOI 10.1016/S1054-3139(02)00280-1
Wasmund N., 2008, STATE EVOLUTION BALT, P441
Yurkov VV, 1998, MICROBIOL MOL BIOL R, V62, P695, DOI 10.1128/MMBR.62.3.695-724.1998
Yutin N, 2005, ENVIRON MICROBIOL, V7, P2027, DOI 10.1111/j.1462-2920.2005.00843.x
Yutin N, 2007, ENVIRON MICROBIOL, V9, P1464, DOI 10.1111/j.1462-2920.2007.01265.x
Yutin N, 2009, APPL ENVIRON MICROB, V75, P7556, DOI 10.1128/AEM.01014-09
Zhang Y, 2007, FEMS MICROBIOL ECOL, V61, P459, DOI 10.1111/j.1574-6941.2007.00355.x
NR 96
TC 3
Z9 4
PD JAN 6
PY 2022
VL 8
AR 773210
DI 10.3389/fmars.2021.773210
UT WOS:000745844200001
DA 2025-07-30
ER
PT J
AU Sosa, OA
Gifford, SM
Repeta, DJ
DeLong, EF
AF Sosa, Oscar A.
Gifford, Scott M.
Repeta, Daniel J.
DeLong, Edward F.
TI High molecular weight dissolved organic matter enrichment selects for
methylotrophs in dilution to extinction cultures
SO ISME JOURNAL
DT Article
AB The role of bacterioplankton in the cycling of marine dissolved organic matter (DOM) is central to the carbon and energy balance in the ocean, yet there are few model organisms available to investigate the genes, metabolic pathways, and biochemical mechanisms involved in the degradation of this globally important carbon pool. To obtain microbial isolates capable of degrading semi-labile DOM for growth, we conducted dilution to extinction cultivation experiments using seawater enriched with high molecular weight (HMW) DOM. In total, 93 isolates were obtained. Amendments using HMW DOM to increase the dissolved organic carbon concentration 4x (280 mu M) or 10x (700 mu M) the ocean surface water concentrations yielded positive growth in 4-6% of replicate dilutions, whereas <1% scored positive for growth in non-DOM-amended controls. The majority (71%) of isolates displayed a distinct increase in cell yields when grown in increasing concentrations of HMW DOM. Whole-genome sequencing was used to screen the culture collection for purity and to determine the phylogenetic identity of the isolates. Eleven percent of the isolates belonged to the gammaproteobacteria including Alteromonadales (the SAR92 clade) and Vibrio. Surprisingly, 85% of isolates belonged to the methylotrophic OM43 clade of betaproteobacteria, bacteria thought to metabolically specialize in degrading C1 compounds. Growth of these isolates on methanol confirmed their methylotrophic phenotype. Our results indicate that dilution to extinction cultivation enrichede with natural sources of organic substrates has a potential to reveal the previously unsuspected relationships between naturally occurring organic nutrients and the microorganisms that consume them.
C1 [Sosa, Oscar A.; DeLong, Edward F.] Univ Hawaii, Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
[Sosa, Oscar A.; Gifford, Scott M.; DeLong, Edward F.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA.
[Sosa, Oscar A.] Woods Hole Oceanog Inst, Dept Biol, Woods Hole, MA 02543 USA.
[Repeta, Daniel J.] Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
RP DeLong, EF (corresponding author), Univ Hawaii, Ctr Microbial Oceanog Res & Educ, Honolulu, HI 96822 USA.
EM edelong@hawaii.edu
CR Aluwihare LI, 2005, SCIENCE, V308, P1007, DOI 10.1126/science.1108925
Aluwihare LI, 1997, NATURE, V387, P166, DOI 10.1038/387166a0
Aluwihare LI, 1999, MAR ECOL PROG SER, V186, P105, DOI 10.3354/meps186105
ANDRYKOVITCH G, 1988, APPL ENVIRON MICROB, V54, P1061, DOI 10.1128/AEM.54.4.1061-1062.1988
[Anonymous], 2004, Appl Environ Micorbiol
Baik YS, 2007, B KOR CHEM SOC, V28, P847
Becker JW, 2007, MANUAL OF ENVIRONMENTAL MICROBIOLOGY, 3RD ED, P399
Beier S, 2015, ENVIRON MICROBIOL, V17, P3466, DOI 10.1111/1462-2920.12434
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Benner R., 2002, Biogeochemistry of Marine Dissolved Organic Matter, P5990, DOI DOI 10.1016/B978-012323841-2/50005-1
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Chistoserdova L, 2011, ENVIRON MICROBIOL, V13, P2603, DOI 10.1111/j.1462-2920.2011.02464.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Clark LL, 1998, NATURE, V393, P426, DOI 10.1038/30881
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Distel DL, 2002, INT J SYST EVOL MICR, V52, P2261, DOI [10.1099/ijs.0.02184-0, 10.1099/00207713-52-6-2261]
Eloe EA, 2011, APPL ENVIRON MICROB, V77, P8145, DOI 10.1128/AEM.05204-11
Frith MC, 2010, NUCLEIC ACIDS RES, V38, DOI 10.1093/nar/gkq010
Gifford SM, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00185
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Gonzalez JM, 1997, INT J SYST BACTERIOL, V47, P773, DOI 10.1099/00207713-47-3-773
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Halsey KH, 2012, ENVIRON MICROBIOL, V14, P630, DOI 10.1111/j.1462-2920.2011.02605.x
Huggett MJ, 2012, STAND GENOMIC SCI, V6, P11, DOI 10.4056/sigs.2305090
Hutalle-Schmelzer KML, 2010, FEMS MICROBIOL ECOL, V72, P58, DOI 10.1111/j.1574-6941.2009.00831.x
JANVIER M, 1985, INT J SYST BACTERIOL, V35, P131, DOI 10.1099/00207713-35-2-131
KESTER DR, 1967, LIMNOL OCEANOGR, V12, P176, DOI 10.4319/lo.1967.12.1.0176
Kielbasa SM, 2011, GENOME RES, V21, P487, DOI 10.1101/gr.113985.110
Kolowith LC, 2001, LIMNOL OCEANOGR, V46, P309, DOI 10.4319/lo.2001.46.2.0309
Landa M, 2014, ENVIRON MICROBIOL, V16, P1668, DOI 10.1111/1462-2920.12242
Letunic I, 2007, BIOINFORMATICS, V23, P127, DOI 10.1093/bioinformatics/btl529
Letunic I, 2011, NUCLEIC ACIDS RES, V39, pW475, DOI [10.1093/nar/gkr201, 10.1093/nar/gkr931]
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
McCarthy M, 1997, NATURE, V390, P150, DOI 10.1038/36535
MENZEL DW, 1962, LIMNOL OCEANOGR, V7, P151, DOI 10.4319/lo.1962.7.2.0151
Meon B, 2001, MAR CHEM, V75, P185, DOI 10.1016/S0304-4203(01)00036-6
Miller MA, 2010, Proceedings of the Gateway Computing Environments Workshop (GCE), P1, DOI [DOI 10.1109/GCE.2010.5676129, 10.1109/GCE.2010.5676129, 10.1787/9789264090279-en, DOI 10.1787/9789264090279-EN]
Moran MA, 1997, LIMNOL OCEANOGR, V42, P1307, DOI 10.4319/lo.1997.42.6.1307
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Munoz R, 2011, SYST APPL MICROBIOL, V34, P169, DOI 10.1016/j.syapm.2011.03.001
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quan TM, 2007, MAR CHEM, V105, P183, DOI 10.1016/j.marchem.2007.01.012
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Redfield A.C., 1963, The Sea: Ideas and Observations on Progress in the Study of the Seas, V2, P26
Repeta DJ, 2006, LIMNOL OCEANOGR, V51, P1045, DOI 10.4319/lo.2006.51.2.1045
Rich VI, 2011, ENVIRON MICROBIOL, V13, P116, DOI 10.1111/j.1462-2920.2010.02314.x
SAITOU N, 1987, MOL BIOL EVOL, V4, P406, DOI 10.1093/oxfordjournals.molbev.a040454
Sarmento H, 2013, LIMNOL OCEANOGR, V58, P1123, DOI 10.4319/lo.2013.58.3.1123
Sarmento H, 2012, ENVIRON MICROBIOL, V14, P2348, DOI 10.1111/j.1462-2920.2012.02787.x
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sharma AK, 2014, ENVIRON MICROBIOL, V16, P2815, DOI 10.1111/1462-2920.12254
Shieh WY, 2008, INT J SYST EVOL MICR, V58, P895, DOI 10.1099/ijs.0.65371-0
Shrestha PM, 2013, MBIO, V4, DOI 10.1128/mBio.00591-12
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Sowell SM, 2011, ISME J, V5, P856, DOI 10.1038/ismej.2010.168
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stingl U, 2008, MICROB ECOL, V55, P395, DOI 10.1007/s00248-007-9284-4
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Suzuki MT, 2004, MICROB ECOL, V48, P473, DOI 10.1007/s00248-004-0213-5
Tamura K, 2004, P NATL ACAD SCI USA, V101, P11030, DOI 10.1073/pnas.0404206101
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Weiner RM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000087
WILLIAMS PM, 1987, NATURE, V330, P246, DOI 10.1038/330246a0
NR 74
TC 43
Z9 46
PD DEC
PY 2015
VL 9
IS 12
BP 2725
EP 2739
DI 10.1038/ismej.2015.68
UT WOS:000365094400015
DA 2025-07-30
ER
PT J
AU Aghababa, MP
Andrysek, J
AF Aghababa, Mohammad Pourmahmood
Andrysek, Jan
TI Exploration and demonstration of explainable machine learning models in
prosthetic rehabilitation-based gait analysis
SO PLOS ONE
DT Article
AB Quantitative gait analysis is important for understanding the non-typical walking patterns associated with mobility impairments. Conventional linear statistical methods and machine learning (ML) models are commonly used to assess gait performance and related changes in the gait parameters. Nonetheless, explainable machine learning provides an alternative technique for distinguishing the significant and influential gait changes stemming from a given intervention. The goal of this work was to demonstrate the use of explainable ML models in gait analysis for prosthetic rehabilitation in both population- and sample-based interpretability analyses. Models were developed to classify amputee gait with two types of prosthetic knee joints. Sagittal plane gait patterns of 21 individuals with unilateral transfemoral amputations were video-recorded and 19 spatiotemporal and kinematic gait parameters were extracted and included in the models. Four ML models-logistic regression, support vector machine, random forest, and LightGBM-were assessed and tested for accuracy and precision. The Shapley Additive exPlanations (SHAP) framework was applied to examine global and local interpretability. Random Forest yielded the highest classification accuracy (98.3%). The SHAP framework quantified the level of influence of each gait parameter in the models where knee flexion-related parameters were found the most influential factors in yielding the outcomes of the models. The sample-based explainable ML provided additional insights over the population-based analyses, including an understanding of the effect of the knee type on the walking style of a specific sample, and whether or not it agreed with global interpretations. It was concluded that explainable ML models can be powerful tools for the assessment of gait-related clinical interventions, revealing important parameters that may be overlooked using conventional statistical methods.
C1 [Aghababa, Mohammad Pourmahmood; Andrysek, Jan] Univ Toronto, Inst Biomed Engn, Toronto, ON, Canada.
[Aghababa, Mohammad Pourmahmood; Andrysek, Jan] Holland Bloorview Kids Rehabil Hosp, Bloorview Res Inst, Toronto, ON, Canada.
RP Aghababa, MP (corresponding author), Univ Toronto, Inst Biomed Engn, Toronto, ON, Canada.; Aghababa, MP (corresponding author), Holland Bloorview Kids Rehabil Hosp, Bloorview Res Inst, Toronto, ON, Canada.
EM m.p.aghababa@gmail.com
CR ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1016/S0022-2836(05)80360-2
Auladell A, 2022, ISME J, V16, P178, DOI 10.1038/s41396-021-01053-2
Baetge N, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00227
Bergauer K, 2018, P NATL ACAD SCI USA, V115, pE400, DOI 10.1073/pnas.1708779115
Boeuf D, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01119-5
Bokulich NA, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0470-z
Bolanos LM, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00198-1
Brown MV, 2007, AQUAT MICROB ECOL, V46, P107, DOI 10.3354/ame046107
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Cao HH, 2016, SCI REP-UK, V6, DOI 10.1038/srep21731
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2010, DEEP-SEA RES PT II, V57, P1433, DOI 10.1016/j.dsr2.2010.02.013
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
Chavez FP, 2009, PROG OCEANOGR, V83, P80, DOI 10.1016/j.pocean.2009.07.032
Collins CA, 2003, DEEP-SEA RES PT II, V50, P2389, DOI 10.1016/S0967-0645(03)00134-6
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Delmont TO, 2019, ELIFE, V8, DOI 10.7554/eLife.46497
Demir-Hilton E, 2011, ISME J, V5, P1095, DOI 10.1038/ismej.2010.209
Deutschmann IM, 2024, NAT COMMUN, V15, DOI 10.1038/s41467-023-44550-y
Deutschmann IM, 2021, MICROBIOME, V9, DOI 10.1186/s40168-021-01141-7
Dinasquet J, 2022, ENV MICROBIOL REP, V14, P907, DOI 10.1111/1758-2229.13117
Easson CG, 2019, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.03175
Edgar RC, 2016, bioRxiv, P1, DOI 10.1101/081257
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Ganesh S, 2014, ISME J, V8, P187, DOI 10.1038/ismej.2013.144
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Grote J, 2012, MBIO, V3, DOI 10.1128/mBio.00252-12
Hamady M, 2008, NAT METHODS, V5, P235, DOI 10.1038/NMETH.1184
Haro-Moreno JM, 2020, ENVIRON MICROBIOL, V22, P1748, DOI 10.1111/1462-2920.14896
Herndl GJ, 2023, ANNU REV MAR SCI, V15, P461, DOI 10.1146/annurev-marine-032122-115655
Ibarbalz FM, 2019, CELL, V179, P1084, DOI 10.1016/j.cell.2019.10.008
Jimenez-Infante F, 2017, FEMS MICROBIOL ECOL, V93, DOI 10.1093/femsec/fix083
Jing HM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0079423
Joshi N.A., 2011, SICKLE SLIDING WINDO
Katoh K, 2013, MOL BIOL EVOL, V30, P772, DOI 10.1093/molbev/mst010
Kolody BC, 2019, ISME J, V13, P2817, DOI 10.1038/s41396-019-0472-2
Kraemer S, 2020, ISME J, V14, P79, DOI 10.1038/s41396-019-0499-4
Lanclos VC, 2023, ISME J, V17, P620, DOI 10.1038/s41396-023-01376-2
Langfelder P, 2007, BMC SYST BIOL, V1, DOI 10.1186/1752-0509-1-54
Langfelder P, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-559
Larkin AA, 2023, ISME J, V17, P185, DOI 10.1038/s41396-022-01332-6
Li T, 2013, J MICROBIOL BIOTECHN, V23, P602
Limardo AJ, 2017, ENVIRON MICROBIOL, V19, P3219, DOI 10.1111/1462-2920.13812
Lin XJ, 2012, ENVIRON MICROBIOL, V14, P414, DOI 10.1111/j.1462-2920.2011.02659.x
Malfertheiner L, 2022, BIOLOGY-BASEL, V11, DOI 10.3390/biology11040599
Marie D, 2001, Curr Protoc Cytom, VChapter 11, DOI 10.1002/0471142956.cy1111s10
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
Mestre M, 2017, ISME J, V11, P999, DOI 10.1038/ismej.2016.166
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Needham DM, 2017, ISME J, V11, P1614, DOI 10.1038/ismej.2017.29
Oksanen Jari, 2024, CRAN
Pennington JT, 2018, DEEP-SEA RES PT II, V151, P4, DOI 10.1016/j.dsr2.2017.07.005
Pennington JT, 2000, DEEP-SEA RES PT II, V47, P947, DOI 10.1016/S0967-0645(99)00132-0
Pham VD, 2008, ENVIRON MICROBIOL, V10, P2313, DOI 10.1111/j.1462-2920.2008.01657.x
Pommier T, 2010, AQUAT MICROB ECOL, V61, P212, DOI 10.3354/ame01484
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Santelli CM, 2008, NATURE, V453, P653, DOI 10.1038/nature06899
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Simmons MP, 2016, APPL ENVIRON MICROB, V82, P1693, DOI 10.1128/AEM.02730-15
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Sudek S, 2015, ENVIRON MICROBIOL, V17, P3692, DOI 10.1111/1462-2920.12742
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Sutton TT, 2013, J FISH BIOL, V83, P1508, DOI 10.1111/jfb.12263
Suzuki R, 2006, BIOINFORMATICS, V22, P1540, DOI 10.1093/bioinformatics/btl117
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Thrash JC, 2014, ISME J, V8, P1440, DOI 10.1038/ismej.2013.243
Tragin M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-32338-w
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2013, J MICROBIOL, V51, P147, DOI 10.1007/s12275-013-2671-2
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Viklund J, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0078858
Waite DW, 2020, INT J SYST EVOL MICR, V70, P5972, DOI 10.1099/ijsem.0.004213
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
Walsh EA, 2016, ISME J, V10, P979, DOI 10.1038/ismej.2015.175
Wear EK, 2018, ENVIRON MICROBIOL, V20, P2709, DOI 10.1111/1462-2920.14091
Wickham H, 2016, GGPLOT2 ELEGANT GRAP, DOI [10.1007/978-3-319-24277-4, DOI 10.1007/978-3-319-24277-4]
Wigington CH, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2015.24, 10.1038/NMICROBIOL.2015.24]
Winter C, 2009, LIMNOL OCEANOGR, V54, P160, DOI 10.4319/lo.2009.54.1.0160
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Yeh YC, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00121-8
Zaikova E, 2010, ENVIRON MICROBIOL, V12, P172, DOI 10.1111/j.1462-2920.2009.02058.x
Zhang Y, 2018, ECOL EVOL, V8, P4932, DOI 10.1002/ece3.4064
Zinger L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024570
NR 94
TC 1
Z9 1
PD APR 2
PY 2024
VL 19
IS 4
AR e0300447
DI 10.1371/journal.pone.0300447
UT WOS:001196120400048
DA 2025-07-30
ER
PT J
AU Suominen, S
Gomez-Saez, G
Dittmar, T
Damsté, JSS
Villanueva, L
AF Suominen, Saara
Gomez-Saez, Gonzalo, V
Dittmar, Thorsten
Damste, Jaap S. Sinninghe
Villanueva, Laura
TI Interplay between microbial community composition and chemodiversity of
dissolved organic matter throughout the Black Sea water column redox
gradient
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB Large quantities of carbon are stored in marine dissolved organic matter (DOM), and its recycling has a major effect on the carbon cycle. Microbes are responsible for turnover of DOM. Little is known about how the complex pool of DOM shapes microbial communities and vice versa, especially in anoxic systems. In this study, we characterized the DOM pool with high-resolution Fourier transform ion cyclotron resonance mass spectrometry and analyzed the microbial community composition with 16S rRNA gene amplicon sequencing across a redox gradient in the Black Sea. The chemical stratification of the water column was clearly reflected in the microbial community, with different putative autotrophic taxa abundant across redox zones. The nitrate maximum was characterized by a high abundance of Thaumarchaeota, the suboxic zone by Gammaproteobacteria Chromatiales, while Epsilonbacteraeota Campylobacterales were abundant at the onset of the sulfidic zone. Compared to the variance in the microbial community, the molecular composition of DOM was relatively uniform across the sampled depths. However, underlying differences in the oxidation state of the DOM molecular formulas showed distinct changes that were linked to the redox zones, possibly connecting autotrophic metabolisms to changes in the DOM composition. In addition, known heterotrophs like Planctomycetes Phycisphaerae and Chloroflexi Anaerolineales were linked to more oxidized molecular forms of DOM, and not to the identified redox zones, suggesting that these fermentative organisms are reliant on newly formed carbon molecules. Our study suggests that the metabolism of autotrophic microbes influences the composition of DOM across the Black Sea water column.
C1 [Suominen, Saara; Damste, Jaap S. Sinninghe; Villanueva, Laura] NIOZ Royal Netherlands Inst Sea Res, Dept Marine Microbiol & Biogeochem, Texel, Netherlands.
[Gomez-Saez, Gonzalo, V; Dittmar, Thorsten] Carl von Ossietzky Univ Oldenburg, Inst Chem & Biol Marine Environm ICBM, Res Grp Marine Geochem ICBM MPI Bridging Grp, Oldenburg, Germany.
[Dittmar, Thorsten] Carl von Ossietzky Univ Oldenburg, Helmholtz Inst Funct Marine Biodivers HIFMB, Oldenburg, Germany.
[Damste, Jaap S. Sinninghe; Villanueva, Laura] Univ Utrecht, Fac Geosci, Dept Earth Sci, Utrecht, Netherlands.
RP Villanueva, L (corresponding author), NIOZ Royal Netherlands Inst Sea Res, Dept Marine Microbiol & Biogeochem, Texel, Netherlands.; Villanueva, L (corresponding author), Univ Utrecht, Fac Geosci, Dept Earth Sci, Utrecht, Netherlands.
EM laura.villanueva@nioz.nl
CR ALBERT DB, 1995, DEEP-SEA RES PT I, V42, P1239, DOI 10.1016/0967-0637(95)00042-5
Andrews S., 2010, FASTQC QUALITY CONTR
Bayer B, 2019, ENVIRON MICROBIOL, V21, P4062, DOI 10.1111/1462-2920.14755
Bokulich NA, 2013, NAT METHODS, V10, P57, DOI [10.1038/NMETH.2276, 10.1038/nmeth.2276]
Boye K, 2017, NAT GEOSCI, V10, P415, DOI [10.1038/NGEO2940, 10.1038/ngeo2940]
Brown CT, 2015, NATURE, V523, P208, DOI 10.1038/nature14486
Bryantseva I, 1999, INT J SYST BACTERIOL, V49, P697, DOI 10.1099/00207713-49-2-697
Burdige DJ, 2007, CHEM REV, V107, P467, DOI 10.1021/cr050347q
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Carlson CA, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P65, DOI 10.1016/B978-0-12-405940-5.00003-0
Clement BG, 2009, GEOCHIM COSMOCHIM AC, V73, P1878, DOI 10.1016/j.gca.2008.12.023
Damsté JSS, 2007, ORG GEOCHEM, V38, P128, DOI 10.1016/j.orggeochem.2006.08.003
DAMSTE JSS, 1990, ORG GEOCHEM, V16, P1077
DICKMAN M, 1978, NATURE, V275, P191, DOI 10.1038/275191a0
Dijkstra N, 2018, GEOCHIM COSMOCHIM AC, V222, P685, DOI 10.1016/j.gca.2017.11.016
Dittmar T, 2008, LIMNOL OCEANOGR-METH, V6, P230, DOI 10.4319/lom.2008.6.230
Dittmar T, 2015, BIOGEOCHEMISTRY OF MARINE DISSOLVED ORGANIC MATTER, 2ND EDITION, P369, DOI 10.1016/B978-0-12-405940-5.00007-8
Ducklow HW, 2007, MAR CHEM, V105, P140, DOI 10.1016/j.marchem.2007.01.015
Ediger D, 2019, J MARINE SYST, V198, DOI 10.1016/j.jmarsys.2019.103183
Engel A, 2017, BIOGEOSCIENCES, V14, P1825, DOI 10.5194/bg-14-1825-2017
Flerus R, 2012, BIOGEOSCIENCES, V9, P1935, DOI 10.5194/bg-9-1935-2012
Flynn KJ, 2008, J PHYCOL, V44, P1171, DOI 10.1111/j.1529-8817.2008.00562.x
Fuchsman CA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00257
Fuchsman CA, 2012, FEMS MICROBIOL ECOL, V80, P402, DOI 10.1111/j.1574-6941.2012.01306.x
Fuchsman CA, 2011, FEMS MICROBIOL ECOL, V78, P586, DOI 10.1111/j.1574-6941.2011.01189.x
Fullerton H, 2016, APPL ENVIRON MICROB, V82, P3000, DOI 10.1128/AEM.00624-16
Glaubitz S, 2010, FEMS MICROBIOL ECOL, V74, P32, DOI 10.1111/j.1574-6941.2010.00944.x
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Gomez-Saez GV, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abf6199
Green NW, 2014, MAR CHEM, V161, P14, DOI 10.1016/j.marchem.2014.01.012
Hansell DA, 2009, OCEANOGRAPHY, V22, P202, DOI 10.5670/oceanog.2009.109
Hansman RL, 2015, MAR CHEM, V177, P288, DOI 10.1016/j.marchem.2015.06.001
Hawkes JA, 2016, GEOCHIM COSMOCHIM AC, V175, P68, DOI 10.1016/j.gca.2015.11.025
HEDGES JI, 1992, MAR CHEM, V39, P67, DOI 10.1016/0304-4203(92)90096-S
Henkel JV, 2019, P NATL ACAD SCI USA, V116, P12153, DOI 10.1073/pnas.1906000116
Hug LA, 2013, MICROBIOME, V1, DOI 10.1186/2049-2618-1-22
Jensen MM, 2008, LIMNOL OCEANOGR, V53, P23, DOI 10.4319/lo.2008.53.1.0023
Jessen GL, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1601897
Jorgensen B.B., 2000, MARINE GEOCHEMISTRY, P173, DOI [10.1007/3-540-32144-65, DOI 10.1007/3-540-32144-6_5, 10.1007/978-3-662-04242-7_5, DOI 10.1007/978-3-662-04242-7_5]
JORGENSEN BB, 1991, DEEP-SEA RES, V38, pS1083
Kaiser D, 2017, DEEP-SEA RES PT I, V129, P22, DOI 10.1016/j.dsr.2017.09.006
KARL DM, 1991, DEEP-SEA RES, V38, pS921, DOI 10.1016/S0198-0149(10)80017-2
Keil RG, 2016, BIOGEOSCIENCES, V13, P2077, DOI 10.5194/bg-13-2077-2016
Kindaichi T, 2012, WATER SCI TECHNOL, V66, P2556, DOI 10.2166/wst.2012.479
Kirkpatrick JB, 2019, AQUAT MICROB ECOL, V82, P43, DOI 10.3354/ame01882
Kirkpatrick JB, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00256
Koch BP, 2006, RAPID COMMUN MASS SP, V20, P926, DOI 10.1002/rcm.2386
Kok MD, 2000, GEOCHIM COSMOCHIM AC, V64, P2689, DOI 10.1016/S0016-7037(00)00382-3
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kujawinski EB, 2002, ENVIRON FORENSICS, V3, P207, DOI 10.1006/enfo.2002.0109
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Lam P, 2007, P NATL ACAD SCI USA, V104, P7104, DOI 10.1073/pnas.0611081104
LaRowe D. E., 2011, Geochimica et Cosmochimica Acta, V75, P2030, DOI 10.1016/j.gca.2011.01.020
Lechtenfeld OJ, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7711
Li HY, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0561-x
Lin XJ, 2006, APPL ENVIRON MICROB, V72, P2679, DOI 10.1128/AEM.72.4.2679-2690.2006
Lucas J, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00321
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Margolin AR, 2016, MAR CHEM, V183, P13, DOI 10.1016/j.marchem.2016.05.003
Marschall E, 2010, ENVIRON MICROBIOL, V12, P1348, DOI 10.1111/j.1462-2920.2010.02178.x
McMurdie PJ, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0061217
MOPPER K, 1991, DEEP-SEA RES, V38, pS1021
MURRAY JW, 1989, NATURE, V338, P411, DOI 10.1038/338411a0
MURRAY JW, 1991, DEEP-SEA RES, V38, pS663, DOI 10.1016/S0198-0149(10)80003-2
Na H, 2015, ENV MICROBIOL REP, V7, P614, DOI 10.1111/1758-2229.12296
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
OBERNOSTERER I, 1995, MAR ECOL PROG SER, V116, P247, DOI 10.3354/meps116247
Oni OE, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01290
Orsi William D, 2018, Nat Microbiol, V3, P32, DOI 10.1038/s41564-017-0047-9
Osterholz H, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy119
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Pantoja S, 2009, DEEP-SEA RES PT II, V56, P1019, DOI 10.1016/j.dsr2.2008.09.007
Pracht LE, 2018, BIOGEOSCIENCES, V15, P1733, DOI 10.5194/bg-15-1733-2018
Quast Christian, 2013, Nucleic Acids Res, V41, pD590, DOI 10.1093/nar/gks1219
Raven MR, 2021, SCIENCE, V371, P178, DOI 10.1126/science.abc6035
REPETA DJ, 1989, NATURE, V342, P69, DOI 10.1038/342069a0
Riedel T, 2014, ANAL CHEM, V86, P8376, DOI 10.1021/ac501946m
Rohart F, 2017, PLOS COMPUT BIOL, V13, DOI 10.1371/journal.pcbi.1005752
Rossel PE, 2016, ORG GEOCHEM, V97, P41, DOI 10.1016/j.orggeochem.2016.04.003
Schmidt F, 2017, GEOCHIM COSMOCHIM AC, V207, P57, DOI 10.1016/j.gca.2017.03.005
Schmidt F, 2009, GEOCHIM COSMOCHIM AC, V73, P3337, DOI 10.1016/j.gca.2009.03.008
Seidel M, 2017, FRONT EARTH SC-SWITZ, V5, DOI 10.3389/feart.2017.00031
Sollai M, 2019, GEOBIOLOGY, V17, P91, DOI 10.1111/gbi.12316
Suominen S, 2021, ENVIRON MICROBIOL, V23, P2709, DOI 10.1111/1462-2920.14902
Tobias R.D., 1995, P 20 ANN SAS USERS G, V20
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Valle J, 2018, WATER RES, V129, P252, DOI 10.1016/j.watres.2017.11.015
Van Mooy BAS, 2002, GEOCHIM COSMOCHIM AC, V66, P457, DOI 10.1016/S0016-7037(01)00787-6
Vetriani C, 2003, APPL ENVIRON MICROB, V69, P6481, DOI 10.1128/AEM.69.11.6481-6488.2003
WAKEHAM SG, 1995, GEOCHIM COSMOCHIM AC, V59, P521, DOI 10.1016/0016-7037(94)00361-O
WILLIAMS PM, 1987, NATURE, V330, P246, DOI 10.1038/330246a0
Wold S, 2001, CHEMOMETR INTELL LAB, V58, P109, DOI 10.1016/S0169-7439(01)00155-1
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Wu XY, 2018, FRONT IMMUNOL, V9, DOI 10.3389/fimmu.2018.01112
Yakushev EV, 2007, MAR CHEM, V107, P388, DOI 10.1016/j.marchem.2007.06.003
Yamada T, 2009, MICROBES ENVIRON, V24, P205, DOI 10.1264/jsme2.ME09151S
Yarza P, 2014, NAT REV MICROBIOL, V12, P635, DOI 10.1038/nrmicro3330
Yilmaz A, 2006, DEEP-SEA RES PT II, V53, P1988, DOI 10.1016/j.dsr2.2006.03.015
Zark M, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05665-9
Zark M, 2017, MAR CHEM, V191, P9, DOI 10.1016/j.marchem.2017.02.005
Zhang JJ, 2014, BIOINFORMATICS, V30, P614, DOI 10.1093/bioinformatics/btt593
NR 101
TC 9
Z9 10
PD FEB
PY 2022
VL 67
IS 2
BP 329
EP 347
DI 10.1002/lno.11995
EA DEC 2021
UT WOS:000734100300001
DA 2025-07-30
ER
PT J
AU Hu, C
Chen, XW
Yu, LQ
Xu, DP
Jiao, NZ
AF Hu, Chen
Chen, Xiaowei
Yu, Liuqian
Xu, Dapeng
Jiao, Nianzhi
TI Elevated Contribution of Low Nucleic Acid Prokaryotes and Viral Lysis to
the Prokaryotic Community Along the Nutrient Gradient From an Estuary to
Open Ocean Transect
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Prokaryotes represent the largest living biomass reservoir in aquatic environments and play a crucial role in the global ocean. However, the factors that shape the abundance and potential growth rate of the ecologically distinct prokaryotic subgroups [i.e., high nucleic acid (HNA) and low nucleic acid (LNA) cells] along varying trophic conditions in the ocean remain poorly understood. This study conducted a series of modified dilution experiments to investigate how the abundance and potential growth rate of HNA and LNA prokaryotes and their regulating factors (i.e., protozoan grazing and viral lysis) change along a cross-shore nutrient gradient in the northern South China Sea. The results showed that the abundance of both HNA and LNA cells was significantly positively correlated with the abundance of heterotrophic nanoflagellates and viruses, whereas only HNA abundance exhibited a significant positive correlation with nutrient level. With a decreasing nutrient concentration, the potential growth rate of the HNA subgroup declined significantly, while that of the LNA subgroup was significantly enhanced, leading to an elevated relative potential growth rate of the LNA to HNA subgroup under decreasing nutrient levels. Furthermore, our data revealed different regulatory roles of protozoan grazing and viral lysis on the HNA and LNA subgroups, with HNA suffering higher mortality pressure from grazing than from lysis in contrast to LNA, which experienced equivalent pressures. As the nutrient levels declined, the relative contribution of lysis to the mortality of the HNA subgroup increased significantly, in contrast to the insignificant change in that of the LNA subgroup. Our results indicated the elevated role of LNA cells in the prokaryotic community and the enhanced viral lysis pressure on the total prokaryotes under oligotrophic conditions. This implies a weakened efficiency of carbon cycling within the microbial loop and enhanced viral lysis to shunt more carbon and energy flow in the future ocean, in which oligotrophication will be strengthened due to global warming.
C1 [Hu, Chen; Chen, Xiaowei; Xu, Dapeng; Jiao, Nianzhi] Xiamen Univ, Inst Marine Microbes & Ecospheres, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.
[Hu, Chen; Chen, Xiaowei; Xu, Dapeng; Jiao, Nianzhi] Xiamen Univ, Fujian Key Lab Marine Carbon Sequestrat, Xiamen, Peoples R China.
[Yu, Liuqian] Hong Kong Univ Sci & Technol, Dept Ocean Sci, Hong Kong, Peoples R China.
RP Xu, DP; Jiao, NZ (corresponding author), Xiamen Univ, Inst Marine Microbes & Ecospheres, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen, Peoples R China.; Xu, DP; Jiao, NZ (corresponding author), Xiamen Univ, Fujian Key Lab Marine Carbon Sequestrat, Xiamen, Peoples R China.
EM dapengxu@xmu.edu.cn; jiao@xmu.edu.cn
CR Agusti S, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00432
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Baltar F, 2016, ISME J, V10, P568, DOI 10.1038/ismej.2015.135
Bettarel Y, 2004, APPL ENVIRON MICROB, V70, P2941, DOI 10.1128/AEM.70.5.2941-2951.2004
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P2050, DOI 10.1111/j.1462-2920.2007.01321.x
Brussaard CPD, 2004, APPL ENVIRON MICROB, V70, P1506, DOI 10.1128/AEM.70.3.1506-1513.2004
Calbet A, 2001, AQUAT MICROB ECOL, V23, P283, DOI 10.3354/ame023283
Chen XW, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01763
Chen XW, 2019, WATER RES, V160, P118, DOI 10.1016/j.watres.2019.05.051
Christaki U, 1998, LIMNOL OCEANOGR, V43, P458, DOI 10.4319/lo.1998.43.3.0458
Church MJ., 2008, MICROBIAL ECOLOGY OC, P335, DOI DOI 10.1002/9780470281840.CH10
Danovaro R, 2008, NATURE, V454, P1084, DOI 10.1038/nature07268
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
del Giorgio PA., 2008, MICROBIAL ECOLOGY OC, V2nd
delGiorgio PA, 1996, LIMNOL OCEANOGR, V41, P1169, DOI 10.4319/lo.1996.41.6.1169
Edwards M, 2004, NATURE, V430, P881, DOI 10.1038/nature02808
Evans C, 2003, AQUAT MICROB ECOL, V30, P207, DOI 10.3354/ame030207
Fuhrman J.A., 1993, Oceanography, V6, P51, DOI [10.5670/oceanog.1993.14, DOI 10.5670/OCEANOG.1993.14]
Fuhrman JA, 1995, LIMNOL OCEANOGR, V40, P1236, DOI 10.4319/lo.1995.40.7.1236
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Hoegh-Guldberg O, 2010, SCIENCE, V328, P1523, DOI 10.1126/science.1189930
Huete-Stauffer TM, 2012, AQUAT MICROB ECOL, V67, P211, DOI 10.3354/ame01590
Jellett JF, 1996, MAR ECOL PROG SER, V136, P213, DOI 10.3354/meps136213
Jiao N, 2014, BIOGEOSCIENCES, V11, P5285, DOI 10.5194/bg-11-5285-2014
Jiao NZ, 2018, NATL SCI REV, V5, P459, DOI 10.1093/nsr/nwy020
Jiao N, 2010, NAT REV MICROBIOL, V8, P593, DOI 10.1038/nrmicro2386
LANDRY MR, 1982, MAR BIOL, V67, P283, DOI 10.1007/BF00397668
Lara E, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602565
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Li WKW, 1995, LIMNOL OCEANOGR, V40, P1485, DOI 10.4319/lo.1995.40.8.1485
Li XF, 2019, ESTUAR COAST SHELF S, V218, P1, DOI 10.1016/j.ecss.2018.11.013
Longnecker K, 2006, AQUAT MICROB ECOL, V43, P113, DOI 10.3354/ame043113
Longnecker K, 2005, APPL ENVIRON MICROB, V71, P7737, DOI 10.1128/AEM.71.12.7737-7749.2005
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
Mojica KDA, 2020, MICROB ECOL, V79, P213, DOI 10.1007/s00248-019-01393-9
Monger BC, 1999, LIMNOL OCEANOGR, V44, P1917, DOI 10.4319/lo.1999.44.8.1917
MONGER BC, 1991, MAR ECOL PROG SER, V74, P239, DOI 10.3354/meps074239
Morán XAG, 2010, GLOBAL CHANGE BIOL, V16, P1137, DOI 10.1111/j.1365-2486.2009.01960.x
Nagata T, 2010, DEEP-SEA RES PT II, V57, P1519, DOI 10.1016/j.dsr2.2010.02.019
Pearce I, 2010, DEEP-SEA RES PT II, V57, P849, DOI 10.1016/j.dsr2.2008.04.039
Philippot L, 2010, NAT REV MICROBIOL, V8, P523, DOI 10.1038/nrmicro2367
SANDERS RW, 1992, MAR ECOL PROG SER, V86, P1, DOI 10.3354/meps086001
Scharek R, 2007, AQUAT MICROB ECOL, V46, P153, DOI 10.3354/ame046153
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Schlitzer R., 2020, OCEAN DATA VIEW
Segovia BT, 2018, J PLANKTON RES, V40, P129, DOI 10.1093/plankt/fbx071
Servais P, 2003, AQUAT MICROB ECOL, V33, P41, DOI 10.3354/ame033041
Sherr E. B, 1993, HDB METHODS AQUATIC, P213
Sintes E, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00453
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Tsai AY, 2013, BIOGEOSCIENCES, V10, P3055, DOI 10.5194/bg-10-3055-2013
Tsai AY, 2016, ESTUAR COAST, V39, P1357, DOI 10.1007/s12237-016-0098-9
Tsai AY, 2013, J PLANKTON RES, V35, P1283, DOI 10.1093/plankt/fbt074
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Vázquez-Domínguez E, 2006, J PLANKTON RES, V28, P879, DOI 10.1093/plankt/fbl026
Wei W, 2019, MICROB ECOL, V78, P843, DOI 10.1007/s00248-019-01362-2
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weinbauer MG, 2002, AQUAT MICROB ECOL, V27, P103, DOI 10.3354/ame027103
Wigington CH, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2015.24, 10.1038/NMICROBIOL.2015.24]
Yang JP, 2020, MAR POLLUT BULL, V156, DOI 10.1016/j.marpolbul.2020.111253
Yin KD, 2001, MAR ECOL PROG SER, V221, P17, DOI 10.3354/meps221017
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zubkov MV, 2004, J MAR BIOL ASSOC UK, V84, P519, DOI 10.1017/S002531540400952Xh
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
NR 72
TC 12
Z9 13
PD DEC 15
PY 2020
VL 11
AR 612053
DI 10.3389/fmicb.2020.612053
UT WOS:000603027000001
DA 2025-07-30
ER
PT J
AU Rhodes, LD
Adams, NG
Simon, RG
Kavanaugh, MT
Alin, SR
Feely, RA
AF Rhodes, Linda D.
Adams, Nicolaus G.
Gallego Simon, Ramon
Kavanaugh, Maria T.
Alin, Simone R.
Feely, Richard A.
TI Nearshore microbial communities of the Pacific Northwest coasts of
Canada and the US
SO FRONTIERS IN MARINE SCIENCE
DT Article
AB A survey of marine pelagic coastal microbial communities was conducted over a large geographic latitude range, from Cape Mendocino in northern California USA to Queen Charlotte Sound in British Columbia Canada, during the spring to summer transition. DNA metabarcoding and flow cytometry were used to characterize microbial communities. Physical and chemical oceanography indicated moderate conditions during the survey with no widespread upwelling, marine heat wave, or other extreme conditions. However, four locations displayed features approaching acidified conditions: Heceta Head, Newport, Copalis Beach, and Cape Flattery. Although bacterial and archaeal communities at the Juan de Fuca canyon and northward had high similarity, those south of the Juan de Fuca canyon were well differentiated from each other. In contrast, eukaryotic microbial communities exhibited stronger geographic differentiation than bacterial and archaeal communities across the extent of the survey. Seawater parameters that were best predictors of bacterial and archaeal community structure were temperature, pH, and dissolved inorganic nutrients (nitrate, phosphate, silicate), while those that were best predictors of eukaryotic microbial community structure were salinity, dissolved oxygen, total alkalinity, and dissolved inorganic nutrients (nitrite, silicate). Although five bacterial and archaeal indicators for potentially corrosive waters were identified (Colwellia, Nitrosopumilus, Nitrosopelagicus, Sup05 cluster, Sva0996 marine group), no eukaryotic microbial indicators were found. Potentially pathogenic taxa detected in the survey included four disease-causing bacteria for mammals, finfish, and/or shellfish (Coxiella, Flavobacterium, Francisella, Tenacibaculum), sixteen genera of microalgae capable of producing biotoxins, and fifteen parasitic species. This study demonstrates the value of coordinating microbial sampling and analysis with broad-scale oceanographic surveys to generate insights into community structures of these important pelagic trophic levels.
C1 [Rhodes, Linda D.; Adams, Nicolaus G.] Natl Ocean & Atmospher Adm NOAA Fisheries, Northwest Fisheries Sci Ctr, Seattle, WA 98115 USA.
[Gallego Simon, Ramon] Univ Autonoma Madrid, Biol Dept Univ, Unidad Genet, Madrid, Spain.
[Kavanaugh, Maria T.] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Ocean Ecol & Biogeochem, Corvallis, OR USA.
[Alin, Simone R.; Feely, Richard A.] Natl Ocean & Atmospher Adm NOAA, Pacific Marine Environm Lab, Seattle, WA USA.
[Rhodes, Linda D.] POB 249, Greenbank, WA USA.
RP Rhodes, LD (corresponding author), Natl Ocean & Atmospher Adm NOAA Fisheries, Northwest Fisheries Sci Ctr, Seattle, WA 98115 USA.
EM island.research.whidbey@gmail.com
CR Ahyong S., 2023, World Register of Marine Species (WoRMS)
Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Anderson DM, 1997, LIMNOL OCEANOGR, V42, P1009, DOI 10.4319/lo.1997.42.5_part_2.1009
Anderson DM, 2021, HARMFUL ALGAE, V102, DOI 10.1016/j.hal.2021.101975
Anderson MJ, 2003, ECOLOGY, V84, P511, DOI 10.1890/0012-9658(2003)084[0511:CAOPCA]2.0.CO;2
Anderson MJ, 2008, PERMANOVA PRIMER GUI, P1
Avendano-Herrera R, 2006, DIS AQUAT ORGAN, V71, P255, DOI 10.3354/dao071255
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Barth JA, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-54476-0
Bass D, 2021, TRENDS PARASITOL, V37, P875, DOI 10.1016/j.pt.2021.05.006
Bates Stephen S., 2020, Canadian Technical Report of Fisheries and Aquatic Sciences, V3384, P1
Bayer B, 2016, ISME J, V10, P1051, DOI 10.1038/ismej.2015.200
Bednarsek N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109183
Biard T, 2022, ENVIRON MICROBIOL, V24, P2179, DOI 10.1111/1462-2920.16004
Birkbeck TH, 2011, J FISH DIS, V34, P173, DOI 10.1111/j.1365-2761.2010.01226.x
Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
Bolyen E, 2019, NAT BIOTECHNOL, V37, P852, DOI 10.1038/s41587-019-0209-9
BOWER SM, 1987, CAN J ZOOL, V65, P2013, DOI 10.1139/z87-306
BOWER SM, 1987, CAN J ZOOL, V65, P1996, DOI 10.1139/z87-304
Bowman J., 2014, PROKARYOTES OTHER MA, P539, DOI [10.1007/978-3-642-38954-2_135, DOI 10.1007/978-3-642-38954-2_135]
Brevik OJ, 2011, J APPL MICROBIOL, V111, P1044, DOI 10.1111/j.1365-2672.2011.05133.x
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Calbet A, 2004, LIMNOL OCEANOGR, V49, P51, DOI 10.4319/lo.2004.49.1.0051
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Campbell LG, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0209055
Chan F, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02777-y
Chantangsi C, 2013, PROTIST, V164, P793, DOI 10.1016/j.protis.2013.09.001
Chun SJ, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.147046
Clarke KR, 2015, PRIMER v7: User Manual/Tutorial
COATS DW, 1994, J EUKARYOT MICROBIOL, V41, P586, DOI 10.1111/j.1550-7408.1994.tb01520.x
Colquhoun DJ, 2011, VET RES, V42, DOI 10.1186/1297-9716-42-47
Columbia River DART, 2023, Adult Passage Counts Graphics Text; Smolt Index Graphics Text
Connolly TP, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005283
Crawford WR, 1995, ATMOS OCEAN, V33, P639, DOI 10.1080/07055900.1995.9649549
de Vargas C, 2015, SCIENCE, V348, DOI 10.1126/science.1261605
Declercq AM, 2013, VET RES, V44, DOI 10.1186/1297-9716-44-27
Dickson A. G., 1994, Technical Report No. Version 2
DICKSON AG, 1990, J CHEM THERMODYN, V22, P113, DOI 10.1016/0021-9614(90)90074-Z
Dolan JR, 2010, ACTA PROTOZOOL, V49, P235
DREBES G, 1988, HELGOLANDER MEERESUN, V42, P563, DOI 10.1007/BF02365627
Duodu S, 2010, FEMS MICROBIOL ECOL, V74, P534, DOI 10.1111/j.1574-6941.2010.00973.x
Dutkiewicz S, 2015, NAT CLIM CHANGE, V5, P1002, DOI [10.1038/NCLIMATE2722, 10.1038/nclimate2722]
Eckford-Soper L, 2016, HARMFUL ALGAE, V58, P51, DOI 10.1016/j.hal.2016.08.002
Eldin C, 2017, CLIN MICROBIOL REV, V30, P115, DOI 10.1128/CMR.00045-16
Falkowski PG, 1998, SCIENCE, V281, P200, DOI 10.1126/science.281.5374.200
Feely RA, 2016, ESTUAR COAST SHELF S, V183, P260, DOI 10.1016/j.ecss.2016.08.043
Feely RA, 2010, ESTUAR COAST SHELF S, V88, P442, DOI 10.1016/j.ecss.2010.05.004
Fernández-Alvarez C, 2018, APPL MICROBIOL BIOT, V102, P9973, DOI 10.1007/s00253-018-9370-1
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
FRITZ L, 1992, J PHYCOL, V28, P312, DOI 10.1111/j.0022-3646.1992.00312.x
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Gardner BR, 2023, PATHOGENS, V12, DOI 10.3390/pathogens12010122
Gardner BR, 2023, WILDLIFE RES, V50, P840, DOI 10.1071/WR22136
Gazeau F, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028554
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Green Michael R, 2018, Cold Spring Harb Protoc, V2018, DOI 10.1101/pdb.prot093476
Guillou L, 2013, NUCLEIC ACIDS RES, V41, pD597, DOI 10.1093/nar/gks1160
Habib C, 2014, APPL ENVIRON MICROB, V80, P5503, DOI 10.1128/AEM.01177-14
Hewson I, 2006, MAR ECOL PROG SER, V311, P67, DOI 10.3354/meps311067
Hickey B. M., 1989, Elsevier Oceanography Series, P41
Hickey BM, 2013, HARMFUL ALGAE, V25, P1, DOI 10.1016/j.hal.2013.01.006
Hickey BM, 2003, ESTUARIES, V26, P1010, DOI 10.1007/BF02803360
Käse L, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244817
Karlson B, 2021, HARMFUL ALGAE, V102, DOI 10.1016/j.hal.2021.101989
Karlusich JJP, 2020, ANNU REV MAR SCI, V12, P233, DOI 10.1146/annurev-marine-010419-010706
Kavanaugh MT, 2016, ICES J MAR SCI, V73, P1839, DOI 10.1093/icesjms/fsw086
Kersh GJ, 2012, J WILDLIFE DIS, V48, P201, DOI 10.7589/0090-3558-48.1.201
Kim M, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8091412
Kim S, 2017, ALGAE-SEOUL, V32, P181, DOI 10.4490/algae.2017.32.7.28
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Korlevic M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-20954-6
Kroeker KJ, 2013, GLOBAL CHANGE BIOL, V19, P1884, DOI 10.1111/gcb.12179
Lewis WH, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00140
Lewitus AJ, 2012, HARMFUL ALGAE, V19, P133, DOI 10.1016/j.hal.2012.06.009
Li SH, 2023, MICROBIOL SPECTR, V11, DOI 10.1128/spectrum.03879-22
Lima-Mendez G, 2015, SCIENCE, V348, DOI 10.1126/science.1262073
Loch TP, 2015, J ADV RES, V6, P283, DOI 10.1016/j.jare.2014.10.009
Longnecker K, 2006, AQUAT MICROB ECOL, V43, P113, DOI 10.3354/ame043113
Lueker TJ, 2000, MAR CHEM, V70, P105, DOI 10.1016/S0304-4203(00)00022-0
MACKINNON D. L., 1933, PARASITOLOGY, V25, P143
Manno C, 2016, SCI REP-UK, V6, DOI 10.1038/srep25752
Martin M., 2011, EMBNET J, V17, P10, DOI DOI 10.14806/EJ.17.1.200
Masella AP, 2012, BMC BIOINFORMATICS, V13, DOI 10.1186/1471-2105-13-31
Massana R, 2014, ISME J, V8, P854, DOI 10.1038/ismej.2013.204
Mathur V, 2019, CURR BIOL, V29, P2936, DOI 10.1016/j.cub.2019.07.019
McCabe Ryan M, 2017, NCEI
McCabe RM, 2016, GEOPHYS RES LETT, V43, P10366, DOI 10.1002/2016GL070023
McKenzie CH, 2021, HARMFUL ALGAE, V102, DOI 10.1016/j.hal.2020.101852
Miao LZ, 2019, SCI TOTAL ENVIRON, V650, P2395, DOI 10.1016/j.scitotenv.2018.09.378
Milici M, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00649
Minor C, 2013, J WILDLIFE DIS, V49, P441, DOI 10.7589/2012-09-226
Moestrup O, 2014, PHYCOLOGIA, V53, P265, DOI 10.2216/13-254.1
Mooney JR, 2000, J CRUSTACEAN BIOL, V20, P320, DOI 10.1651/0278-0372(2000)020[0320:NHPADO]2.0.CO;2
Morris RM, 2022, ANNU REV MAR SCI, V14, P261, DOI 10.1146/annurev-marine-010419-010814
Mostofa KMG, 2016, BIOGEOSCIENCES, V13, P1767, DOI 10.5194/bg-13-1767-2016
Murali A, 2018, MICROBIOME, V6, DOI 10.1186/s40168-018-0521-5
Nelson KS, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60023-4
Noirungsee N, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-63190-6
O'Brien J, 2022, ISME COMMUN, V2, DOI 10.1038/s43705-022-00099-3
Oksanen, 2022, VEGAN COMMUNITY ECOL
Oliver JD, 2010, FEMS MICROBIOL REV, V34, P415, DOI 10.1111/j.1574-6976.2009.00200.x
Pang QQ, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150142
Park MG, 2004, J EUKARYOT MICROBIOL, V51, P145, DOI 10.1111/j.1550-7408.2004.tb00539.x
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Pelletier G., 2007, A calculator for the CO2 system in seawater for Microsoft Excel/VBA
PEREZ FF, 1987, MAR CHEM, V21, P161, DOI 10.1016/0304-4203(87)90036-3
Peterson JO, 2013, LIMNOL OCEANOGR, V58, P2279, DOI 10.4319/lo.2013.58.6.2279
Peterson TD, 2011, MAR ECOL PROG SER, V424, P53, DOI 10.3354/meps08943
Pinnell LJ, 2020, FEMS MICROBIOL ECOL, V96, DOI 10.1093/femsec/fiaa230
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Qin W, 2017, INT J SYST EVOL MICR, V67, P5067, DOI 10.1099/ijsem.0.002416
Qin W, 2014, P NATL ACAD SCI USA, V111, P12504, DOI 10.1073/pnas.1324115111
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Ramirez-Paredes JG, 2020, INT J SYST EVOL MICR, V70, P2034, DOI 10.1099/ijsem.0.004009
Rogers KL, 2020, LIMNOL OCEANOGR LETT, V5, P18, DOI 10.1002/lol2.10136
Rueckert S, 2019, TRENDS PARASITOL, V35, P687, DOI 10.1016/j.pt.2019.06.013
Rueckert S, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018163
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Sherr EB, 2005, DEEP-SEA RES PT II, V52, P317, DOI 10.1016/j.dsr2.2004.09.020
Smith J, 2018, HARMFUL ALGAE, V79, P87, DOI 10.1016/j.hal.2018.07.007
Starliper CE, 2011, J ADV RES, V2, P97, DOI 10.1016/j.jare.2010.04.001
StataCorp, 2023, STATA STAT SOFTWARE
Stoeck T, 2010, MOL ECOL, V19, P21, DOI 10.1111/j.1365-294X.2009.04480.x
Thompson AR, 2022, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.958727
Thomson RichardE., 1981, OCEANOGRAPHY BRIT CO
Traving SJ, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-021-02731-9
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Turekian K. A., 2001, ENCY OCEAN SCI, P368
UPPSTROM LR, 1974, DEEP-SEA RES, V21, P161, DOI 10.1016/0011-7471(74)90074-6
Valigurová A, 2021, MICROORGANISMS, V9, DOI 10.3390/microorganisms9071430
Voss M., 2011, The European Nitrogen Assessment, P147, DOI DOI 10.1017/CBO9780511976988.011
Waldbusser GG, 2015, NAT CLIM CHANGE, V5, P273, DOI 10.1038/NCLIMATE2479
Waldbusser GG, 2014, ANNU REV MAR SCI, V6, P221, DOI 10.1146/annurev-marine-121211-172238
Wemheuer F, 2019, ARCHAEA, V2019, DOI 10.1155/2019/3717239
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Wright RJ, 2021, ISME J, V15, P789, DOI 10.1038/s41396-020-00814-9
Xie ND, 2021, APPL ENVIRON MICROB, V87, DOI 10.1128/AEM.01652-20
Xu DP, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.01170
Yan S, 2009, SYST APPL MICROBIOL, V32, P124, DOI 10.1016/j.syapm.2008.12.001
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Zakem EJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03553-w
Zehr JP, 2002, APPL ENVIRON MICROB, V68, P1015, DOI 10.1128/AEM.68.3.1015-1024.2002
Zhang CLL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01108
Zorz J, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.00281
NR 146
TC 1
Z9 1
PD SEP 5
PY 2024
VL 11
AR 1430930
DI 10.3389/fmars.2024.1430930
UT WOS:001315327800001
DA 2025-07-30
ER
PT J
AU García-Martínez, J
Acinas, SG
Massana, R
Rodríguez-Valera, F
AF García-Martínez, J
Acinas, SG
Massana, R
Rodríguez-Valera, F
TI Prevalence and microdiversity of Alteromonas macleodii-like
microorganisms in different oceanic regions
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The presence, prevalence and variability of microorganisms related to the species Alteromonas macleodii, a well known culturable gamma-Proteobacterium, has been studied in different seawater samples from diverse geographical locations, in both the Northern and Southern hemispheres, and tested with two molecular techniques (rRNA hybridization and gene cloning and sequencing). Results show that A. macleodii-like microorganisms are present in high proportions in North Atlantic and, especially, Mediterranean waters, being higher at deep samples and particle-associated fractions, in agreement with previous findings. In contrast, Southern samples (all from very cold areas near Antarctica) presented no significant hybridization signals. The analysis of the ribosomal ITS (16S-23S internal transcribed spacers) revealed that A. macleodii-like microorganisms from Mediterranean, North Atlantic, Caribbean and Red Sea waters differed in both size and sequence, mostly depending on their geographical origin, with Mediterranean and North Atlantic clones clustering into two main groups whereas Caribbean and Red Sea clones appeared separated.
C1 Univ Miguel Hernandez, Div Microbiol, Alicante 03550, Spain.
CMIMA, Inst Ciencies Mar, Barcelona 08003, Spain.
EM frvalera@umh.es
CR Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
BAUMANN L, 1972, J BACTERIOL, V110, P402, DOI 10.1128/JB.110.1.402-429.1972
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
CURDS CR, 1982, ANNU REV MICROBIOL, V36, P27, DOI 10.1146/annurev.mi.36.100182.000331
Dang HY, 2000, APPL ENVIRON MICROB, V66, P467, DOI 10.1128/AEM.66.2.467-475.2000
DELONG EF, 1994, NATURE, V371, P695, DOI 10.1038/371695a0
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1988, APPL ENVIRON MICROB, V54, P1426, DOI 10.1128/AEM.54.6.1426-1429.1988
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
García-Martínez J, 1999, J MICROBIOL METH, V36, P55, DOI 10.1016/S0167-7012(99)00011-1
GAUTHIER G, 1995, INT J SYST BACTERIOL, V45, P755, DOI 10.1099/00207713-45-4-755
Gauthier MJ, 1992, PROKARYOTES, P3046
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 1995, NATO ADV SCI INST SE, V38, P217
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
GOLDSCHMIDT A, 1999, ESSAY PHENOMENON LES
Gürtler V, 1999, GENE, V238, P241, DOI 10.1016/S0378-1119(99)00224-3
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kelly KM, 2001, FEMS MICROBIOL ECOL, V35, P85, DOI 10.1016/S0168-6496(00)00115-X
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Massana R, 1998, LIMNOL OCEANOGR, V43, P607, DOI 10.4319/lo.1998.43.4.0607
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
Mergaert J, 2001, SYST APPL MICROBIOL, V24, P98, DOI 10.1078/0723-2020-00012
Morita R.Y., 1997, BACTERIA OLIGOTROPHI
MULLINS TD, 1995, LIMNOL OCEANOGR, V40, P148, DOI 10.4319/lo.1995.40.1.0148
Polz MF, 1999, APPL ENVIRON MICROB, V65, P4271
Pukall R, 1999, FEMS MICROBIOL ECOL, V28, P335, DOI 10.1016/S0168-6496(98)00117-2
Raguenes G, 1996, APPL ENVIRON MICROB, V62, P67, DOI 10.1128/AEM.62.1.67-73.1996
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Sambrook J., 1989, Molecular Cloning: A Laboratory Manual
Schäfer H, 2000, ARCH MICROBIOL, V173, P138, DOI 10.1007/s002039900121
SCHMIDT TM, 1991, J BACTERIOL, V173, P4371, DOI 10.1128/JB.173.14.4371-4378.1991
NR 38
TC 68
Z9 70
PD JAN
PY 2002
VL 4
IS 1
BP 42
EP 50
DI 10.1046/j.1462-2920.2002.00255.x
UT WOS:000174890800018
DA 2025-07-30
ER
PT J
AU Poole, AM
Gribaldo, S
AF Poole, Anthony M.
Gribaldo, Simonetta
TI Eukaryotic Origins: How and When Was the Mitochondrion Acquired?
SO COLD SPRING HARBOR PERSPECTIVES IN BIOLOGY
DT Article
AB Comparative genomics has revealed that the last eukaryotic common ancestor possessed the hallmark cellular architecture of modern eukaryotes. However, the remarkable success of such analyses has created a dilemma. If key eukaryotic features are ancestral to this group, then establishing the relative timing of their origins becomes difficult. In discussions of eukaryote origins, special significance has been placed on the timing of mitochondrial acquisition. In one view, mitochondrial acquisition was the trigger for eukaryogenesis. Others argue that development of phagocytosis was a prerequisite to acquisition. Results from comparative genomics and molecular phylogeny are often invoked to support one or the other scenario. We show here that the associations between specific cell biological models of eukaryogenesis and evolutionary genomic data are not as strong as many suppose. Disentangling these eliminates many of the arguments that polarize current debate.
C1 [Poole, Anthony M.] Univ Canterbury, Sch Biol Sci, Christchurch 8140, New Zealand.
[Poole, Anthony M.] Univ Canterbury, Biomol Interact Ctr, Christchurch 8140, New Zealand.
[Poole, Anthony M.] Univ Canterbury, Allan Wilson Ctr Mol Ecol & Evolut, Christchurch 8140, New Zealand.
[Gribaldo, Simonetta] Inst Pasteur, Dept Microbiol, Unite Biol Mol Gene Chez Extremophile, F-75724 Paris, France.
RP Poole, AM (corresponding author), Univ Canterbury, Sch Biol Sci, Christchurch 8140, New Zealand.
EM anthony.poole@canterbury.ac.nz; simonetta.gribaldo@pasteur.fr
CR Alvarez-Ponce D, 2013, P NATL ACAD SCI USA, V110, pE1594, DOI 10.1073/pnas.1211371110
Amiri H, 2003, J MOL EVOL, V56, P137, DOI 10.1007/s00239-002-2387-0
[Anonymous], 1995, MAJOR TRANSITIONS EV
[Anonymous], 1861, On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life
Bapteste E, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-10-r85
Brindefalk B, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024457
Cavalier-Smith T, 2002, INT J SYST EVOL MICR, V52, P297, DOI 10.1099/00207713-52-2-297
Cavalier-Smith T, 2009, INT J BIOCHEM CELL B, V41, P307, DOI 10.1016/j.biocel.2008.10.002
CAVALIERSMITH T, 1987, COLD SPRING HARB SYM, V52, P805, DOI 10.1101/SQB.1987.052.01.089
Collins L, 2005, MOL BIOL EVOL, V22, P1053, DOI 10.1093/molbev/msi091
Cox CJ, 2008, P NATL ACAD SCI USA, V105, P20356, DOI 10.1073/pnas.0810647105
Curtis BA, 2012, NATURE, V492, P59, DOI 10.1038/nature11681
Dacks JB, 2008, P NATL ACAD SCI USA, V105, P588, DOI 10.1073/pnas.0707318105
Dacks JB, 2009, INT J BIOCHEM CELL B, V41, P330, DOI 10.1016/j.biocel.2008.08.041
Davidov Y, 2009, BIOESSAYS, V31, P748, DOI 10.1002/bies.200900018
Desmond E, 2011, RES MICROBIOL, V162, P53, DOI 10.1016/j.resmic.2010.10.004
Devos D, 2006, P NATL ACAD SCI USA, V103, P2172, DOI 10.1073/pnas.0506345103
Dolezal P, 2006, SCIENCE, V313, P314, DOI 10.1126/science.1127895
Donoghue PCJ, 2005, TRENDS ECOL EVOL, V20, P312, DOI 10.1016/j.tree.2005.04.008
Doolittle W. F., 2013, PROKARYOTES PROKARYO, P21
Edgcomb VP, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00055
Egel R, 2008, ORIGIN MEIOSIS EUKAR
Embley TM, 2006, PHILOS T R SOC B, V361, P1055, DOI 10.1098/rstb.2006.1844
Embley TM, 2006, NATURE, V440, P623, DOI 10.1038/nature04546
Esser C, 2004, MOL BIOL EVOL, V21, P1643, DOI 10.1093/molbev/msh160
Fitzpatrick DA, 2006, MOL BIOL EVOL, V23, P74, DOI 10.1093/molbev/msj009
Forterre P, 2013, ARCHAEA, V2013, DOI 10.1155/2013/372396
Fulnecková J, 2013, GENOME BIOL EVOL, V5, P468, DOI 10.1093/gbe/evt019
Gabaldón T, 2003, SCIENCE, V301, P609, DOI 10.1126/science.1085463
Gabaldón T, 2007, PLOS COMPUT BIOL, V3, P2209, DOI 10.1371/journal.pcbi.0030219
Gardner Paul P., 2010, Journal of Biology (London), V8, P4, DOI 10.1186/jbiol211
GOGARTEN JP, 1989, P NATL ACAD SCI USA, V86, P6661, DOI 10.1073/pnas.86.17.6661
Gray MW, 2012, CSH PERSPECT BIOL, V4, DOI 10.1101/cshperspect.a011403
Gribaldo S, 2010, NAT REV MICROBIOL, V8, P743, DOI 10.1038/nrmicro2426
GUERRERO R, 1986, P NATL ACAD SCI USA, V83, P2138, DOI 10.1073/pnas.83.7.2138
Guy L, 2011, TRENDS MICROBIOL, V19, P580, DOI 10.1016/j.tim.2011.09.002
Hoeppner MP, 2012, BMC EVOL BIOL, V12, DOI 10.1186/1471-2148-12-183
Husnik F, 2013, CELL, V153, P1567, DOI 10.1016/j.cell.2013.05.040
IWABE N, 1989, P NATL ACAD SCI USA, V86, P9355, DOI 10.1073/pnas.86.23.9355
Jékely G, 2005, CELL CYCLE, V4, P297
Jékely G, 2007, ADV EXP MED BIOL, V607, P38
Jékely G, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-3
Koonin EV, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-5-209
Koumandou VL, 2013, CRIT REV BIOCHEM MOL, V48, P373, DOI 10.3109/10409238.2013.821444
Lake JA, 2013, GENOME BIOL EVOL, V5, P2440, DOI 10.1093/gbe/evt194
Lane N, 2011, BIOL DIRECT, V6, DOI 10.1186/1745-6150-6-35
Lang BF, 2014, ENDOSYMBIOSIS, P3
López-García P, 1999, TRENDS BIOCHEM SCI, V24, P88, DOI 10.1016/S0968-0004(98)01342-5
Lynch M, 2011, ANNU REV GENOM HUM G, V12, P347, DOI 10.1146/annurev-genom-082410-101412
Makarova KS, 2005, NUCLEIC ACIDS RES, V33, P4626, DOI 10.1093/nar/gki775
Mans BJ, 2004, CELL CYCLE, V3, P1612
Martijn J, 2013, BIOCHEM SOC T, V41, P451, DOI 10.1042/BST20120292
Martin MO, 2002, J MOL MICROB BIOTECH, V4, P467
Martin W, 2001, BIOL CHEM, V382, P1521, DOI 10.1515/BC.2001.187
Martin W, 1998, NATURE, V392, P37, DOI 10.1038/32096
Montagna M, 2013, APPL ENVIRON MICROB, V79, P3241, DOI 10.1128/AEM.03971-12
Moreira D, 1998, J MOL EVOL, V47, P517, DOI 10.1007/PL00006408
Müller M, 2012, MICROBIOL MOL BIOL R, V76, P444, DOI 10.1128/MMBR.05024-11
Nakamura TM, 1998, CELL, V92, P587, DOI 10.1016/S0092-8674(00)81123-X
Neumann N, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013241
Nowack ECM, 2010, PHILOS T R SOC B, V365, P699, DOI 10.1098/rstb.2009.0188
Poole A, 2010, EVOLUTIONARY GENOMIC
Poole A, 2007, NATURE, V447, P913, DOI 10.1038/447913a
Poole AM, 2007, BIOESSAYS, V29, P74, DOI 10.1002/bies.20516
Poole AM, 2011, RES MICROBIOL, V162, P71, DOI 10.1016/j.resmic.2010.10.002
Ramesh MA, 2005, CURR BIOL, V15, P185, DOI 10.1016/j.cub.2005.01.003
Rendulic S, 2004, SCIENCE, V303, P689, DOI 10.1126/science.1093027
Rivera MC, 2004, NATURE, V431, P152, DOI 10.1038/nature02848
Rodríguez-Ezpeleta N, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0030520
Roy SW, 2009, TRENDS ECOL EVOL, V24, P447, DOI 10.1016/j.tree.2009.04.005
Sassera D, 2006, INT J SYST EVOL MICR, V56, P2535, DOI 10.1099/ijs.0.64386-0
Sober E, 1999, CRITICA, V31, P3
STOLP H, 1963, ANTON VAN LEE J M S, V29, P217, DOI 10.1007/BF02046064
Thrash JC, 2011, SCI REP-UK, V1, DOI 10.1038/srep00013
Tong J, 2011, MOL BIOL EVOL, V28, P1581, DOI 10.1093/molbev/msq305
van der Giezen M, 2005, EMBO REP, V6, P525, DOI 10.1038/sj.embor.7400440
Van Der Giezen M, 2009, J EUKARYOT MICROBIOL, V56, P221, DOI 10.1111/j.1550-7408.2009.00407.x
Viklund J, 2012, MOL BIOL EVOL, V29, P599, DOI 10.1093/molbev/msr203
von Dohlen CD, 2001, NATURE, V412, P433, DOI 10.1038/35086563
Wideman JG, 2013, MOL BIOL EVOL, V30, P2044, DOI 10.1093/molbev/mst120
Williams TA, 2012, P ROY SOC B-BIOL SCI, V279, P4870, DOI 10.1098/rspb.2012.1795
WOESE CR, 1990, P NATL ACAD SCI USA, V87, P4576, DOI 10.1073/pnas.87.12.4576
Yutin N, 2009, BIOL DIRECT, V4, DOI 10.1186/1745-6150-4-9
NR 83
TC 69
Z9 71
PD DEC
PY 2014
VL 6
IS 12
AR a015990
DI 10.1101/cshperspect.a015990
UT WOS:000346449100008
DA 2025-07-30
ER
PT J
AU Thrash, JC
AF Thrash, J. Cameron
TI Towards culturing the microbe of your choice
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Editorial Material
C1 [Thrash, J. Cameron] Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
RP Thrash, JC (corresponding author), Univ Southern Calif, Dept Biol Sci, Los Angeles, CA 90089 USA.
EM joz.ennn@gmail.com
CR Ahlgren NA, 2017, ENVIRON MICROBIOL, V19, P2434, DOI 10.1111/1462-2920.13768
Badalamenti JP, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00913
Bælum J, 2012, ENVIRON MICROBIOL, V14, P2405, DOI 10.1111/j.1462-2920.2012.02780.x
Bartelme RP, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00024-20
Batani G, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55049-2
Boedicker JQ, 2009, ANGEW CHEM INT EDIT, V48, P5908, DOI 10.1002/anie.200901550
Brehm-Stecher BF, 2004, MICROBIOL MOL BIOL R, V68, P538, DOI 10.1128/MMBR.68.3.538-559.2004
Buerger S, 2012, APPL ENVIRON MICROB, V78, P3221, DOI 10.1128/AEM.07307-11
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Cao Y, 2014, APPL ENVIRON MICROB, V80, P54, DOI 10.1128/AEM.02288-13
Carini P, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00092-19
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cho JC, 2004, ENVIRON MICROBIOL, V6, P611, DOI 10.1111/j.1462-2920.2004.00614.x
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Crosbie ND, 2001, J PLANKTON RES, V23, P809, DOI 10.1093/plankt/23.8.809
Cross KL, 2019, NAT BIOTECHNOL, V37, P1314, DOI 10.1038/s41587-019-0260-6
Durham BP, 2014, STAND GENOMIC SCI, V9, DOI 10.4056/sigs.4998989
El-Naggar MY, 2010, P NATL ACAD SCI USA, V107, P18127, DOI 10.1073/pnas.1004880107
Eloe EA, 2011, APPL ENVIRON MICROB, V77, P8145, DOI 10.1128/AEM.05204-11
Fedorovich V, 2009, APPL ENVIRON MICROB, V75, P7326, DOI 10.1128/AEM.01345-09
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Gross BJ, 2015, REV SCI INSTRUM, V86, DOI 10.1063/1.4922853
Hahn MW, 2004, J MICROBIOL METH, V57, P379, DOI 10.1016/j.mimet.2004.02.004
Hahnke RL, 2015, ENVIRON MICROBIOL, V17, P3515, DOI 10.1111/1462-2920.12479
Haroon MF, 2013, METHOD ENZYMOL, V531, P3, DOI 10.1016/B978-0-12-407863-5.00001-0
Hatzenpichler R, 2020, NAT REV MICROBIOL, V18, P241, DOI 10.1038/s41579-020-0323-1
Hatzenpichler R, 2016, P NATL ACAD SCI USA, V113, pE4069, DOI 10.1073/pnas.1603757113
Hatzenpichler R, 2014, ENVIRON MICROBIOL, V16, P2568, DOI 10.1111/1462-2920.12436
Henson MW, 2020, APPL ENVIRON MICROB, V86, DOI 10.1128/AEM.00943-20
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Imachi H, 2020, NATURE, V577, P519, DOI 10.1038/s41586-019-1916-6
Imachi H, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-38754-w
Jangir Y, 2019, FRONT ENERGY RES, V7, DOI 10.3389/fenrg.2019.00121
Jangir Y, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00756
Jiang CY, 2016, APPL ENVIRON MICROB, V82, P2210, DOI 10.1128/AEM.03588-15
Jorgensen BB, 2007, NAT REV MICROBIOL, V5, P770, DOI 10.1038/nrmicro1745
Jorgensen BB, 2016, ANNU REV MAR SCI, V8, P311, DOI 10.1146/annurev-marine-010814-015535
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Kaiser M, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02505-0
Kalyuzhnaya MG, 2008, ISME J, V2, P696, DOI 10.1038/ismej.2008.32
Kawaichi S, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.00068
Kehe J, 2019, P NATL ACAD SCI USA, V116, P12804, DOI 10.1073/pnas.1900102116
Kim S, 2019, ISME J, V13, P2252, DOI 10.1038/s41396-019-0432-x
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lagier JC, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.203, 10.1038/nmicrobiol.2016.203]
Lagier JC, 2015, CLIN MICROBIOL REV, V28, P237, DOI 10.1128/CMR.00014-14
Lagier JC, 2015, CLIN MICROBIOL REV, V28, P208, DOI 10.1128/CMR.00110-14
Lam BR, 2019, FRONT MICROBIOL, V10, DOI 10.3389/fmicb.2019.01979
Lee J, 2019, J MICROBIOL, V57, P676, DOI 10.1007/s12275-019-9001-2
Lee KS, 2019, NAT MICROBIOL, V4, P1035, DOI 10.1038/s41564-019-0394-9
Lloyd KG, 2021, ENV MICROBIOL REP, V13, P18, DOI 10.1111/1758-2229.12892
Lloyd KG, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00055-18
Lovley DR, 2006, NAT REV MICROBIOL, V4, P497, DOI 10.1038/nrmicro1442
Lovley DR, 2008, CURR OPIN BIOTECH, V19, P564, DOI 10.1016/j.copbio.2008.10.005
Marshall KT, 2013, ISME J, V7, P452, DOI 10.1038/ismej.2012.78
Nealson KH, 2016, MICROB BIOTECHNOL, V9, P595, DOI 10.1111/1751-7915.12400
Nichols D, 2010, APPL ENVIRON MICROB, V76, P2445, DOI 10.1128/AEM.01754-09
Partensky F, 1999, MICROBIOL MOL BIOL R, V63, P106, DOI 10.1128/MMBR.63.1.106-127.1999
Pold G, 2016, APPL ENVIRON MICROB, V82, P6518, DOI 10.1128/AEM.02012-16
Probst C, 2013, J MICROBIOL METH, V95, P470, DOI 10.1016/j.mimet.2013.09.002
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Reichart NJ, 2020, ISME J, V14, P2851, DOI 10.1038/s41396-020-00749-1
Rosenthal K, 2017, FEMS MICROBIOL REV, V41, P751, DOI 10.1093/femsre/fux044
Rusconi R, 2014, ANNU REV BIOPHYS, V43, P65, DOI 10.1146/annurev-biophys-051013-022916
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Schloss PD, 2016, MBIO, V7, DOI 10.1128/mBio.00201-16
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Steen AD, 2019, ISME J, V13, P3126, DOI 10.1038/s41396-019-0484-y
Steinert G, 2014, MAR BIOTECHNOL, V16, P594, DOI 10.1007/s10126-014-9575-y
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Tandogan N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101429
Thompson AW, 2012, SCIENCE, V337, P1546, DOI 10.1126/science.1222700
Thrash JC, 2008, ENVIRON SCI TECHNOL, V42, P3921, DOI 10.1021/es702668w
Thrash JC, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00130-19
Thrash JC, 2010, APPL ENVIRON MICROB, V76, P4730, DOI 10.1128/AEM.00015-10
van Kessel MAHJ, 2015, NATURE, V528, P555, DOI 10.1038/nature16459
Villa MM, 2020, MSYSTEMS, V5, DOI 10.1128/mSystems.00864-19
Vuillemin A, 2020, MBIO, V11, DOI 10.1128/mBio.01937-20
Watterson WJ, 2020, ELIFE, V9, DOI 10.7554/eLife.56998
Wrighton KC, 2008, ISME J, V2, P1146, DOI 10.1038/ismej.2008.48
Yang SJ, 2016, MICROB ECOL, V71, P29, DOI 10.1007/s00248-015-0695-3
Yilmaz S, 2010, ISME J, V4, P1352, DOI 10.1038/ismej.2010.73
Yu H, 2020, NATURE, V583, P453, DOI 10.1038/s41586-020-2468-5
Zengler K, 2002, P NATL ACAD SCI USA, V99, P15681, DOI 10.1073/pnas.252630999
NR 86
TC 9
Z9 10
PD FEB
PY 2021
VL 13
IS 1
BP 36
EP 41
DI 10.1111/1758-2229.12898
EA OCT 2020
UT WOS:000583194100001
DA 2025-07-30
ER
PT J
AU Zhong, X
Jacquet, S
AF Zhong, Xu
Jacquet, Stephan
TI Differing assemblage composition and dynamics in T4-like myophages of
two neighbouring sub-alpine lakes
SO FRESHWATER BIOLOGY
DT Article
AB 1. Bacteriophages play an important role in plankton population dynamics and biogeochemical cycling, but their community dynamics and diversity are still poorly known, especially in fresh waters.
2. We conducted a 1-year investigation of the T4-like bacteriophages in the surface waters of two Western European peri-alpine lakes (lakes Annecy and Bourget), using fingerprinting and cloning-sequencing approaches targeting the major capsid protein g23 gene.
3. Our results suggest that T4-like bacteriophages are diverse (we found several new sequences) and differed substantially between the two lakes. Further, these phages displayed seasonal patterns with marked shifts in community composition.
4. Examining the dynamics of some individual constituents (e. g. DGGE bands), we found that (i) the majority of these myoviruses were rare (mean relative abundance <1%) and only a few were abundant (mean relative abundance >5%); (ii) the dominance of the most abundant DGGE bands changed throughout the year and their dynamics were very different between the two lakes; (iii) only a few bands (e. g. <20%) were detectable throughout the year and their proportion was higher in the oligomesotrophic Lake Bourget.
5. Our results suggest a highly dynamic T4-like myoviral assemblage. T4-like-viruses seem to conform to a standard model of community organisation and a common type of species abundance curve, with mainly rare organisms that occasionally may become abundant (termed a 'seed bank' for virus assemblages).
C1 [Zhong, Xu; Jacquet, Stephan] INRA, UMR CARRTEL, Thonon Les Bains, France.
RP Jacquet, S (corresponding author), INRA, Stn Hydrobiol, UMR CARRTEL, F-74203 Thonon Les Bains, France.
EM sjacquet@thonon.inra.fr
CR [Anonymous], J WATER SCI
Bellas CM, 2013, EXTREMOPHILES, V17, P861, DOI 10.1007/s00792-013-0569-x
Berdjeb L, 2013, FEMS MICROBIOL ECOL, V86, P215, DOI 10.1111/1574-6941.12154
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Butina TV, 2013, ARCH MICROBIOL, V195, P513, DOI 10.1007/s00203-013-0884-8
Butina TV, 2010, FEMS MICROBIOL LETT, V309, P122, DOI 10.1111/j.1574-6968.2010.02025.x
Castresana J, 2000, MOL BIOL EVOL, V17, P540, DOI 10.1093/oxfordjournals.molbev.a026334
Chow CET, 2012, ENVIRON MICROBIOL, V14, P2171, DOI 10.1111/j.1462-2920.2012.02744.x
Comeau AM, 2008, MOL BIOL EVOL, V25, P1321, DOI 10.1093/molbev/msn080
Comeau AM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040102
Debroas D, 2009, ENVIRON MICROBIOL, V11, P2412, DOI 10.1111/j.1462-2920.2009.01969.x
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Desplats C, 2003, RES MICROBIOL, V154, P259, DOI 10.1016/S0923-2508(03)00069-X
Druart J.C., 2008, PROTOCOLES ANAL PHYT, P1
Fancello L, 2013, ISME J, V7, P359, DOI 10.1038/ismej.2012.101
Filée J, 2005, P NATL ACAD SCI USA, V102, P12471, DOI 10.1073/pnas.0503404102
Fujihara S, 2010, SOIL SCI PLANT NUTR, V56, P800, DOI 10.1111/j.1747-0765.2010.00513.x
Fujii T, 2008, SOIL BIOL BIOCHEM, V40, P1049, DOI 10.1016/j.soilbio.2007.11.025
Guindon S, 2003, SYST BIOL, V52, P696, DOI 10.1080/10635150390235520
HALL T.A., 1999, NUCL ACIDS S SERIES, V41, P95, DOI [DOI 10.1021/BK-1999-0734.CH008, DOI 10.14601/PHYTOPATHOLMEDITERR-14998U1.29]
Huang HuiZhen Huang HuiZhen, 2011, China Environmental Science, V31, P443
Huang SJ, 2012, ENVIRON MICROBIOL, V14, P540, DOI 10.1111/j.1462-2920.2011.02667.x
Humbert JF, 2009, ENVIRON MICROBIOL, V11, P2339, DOI 10.1111/j.1462-2920.2009.01960.x
Hurwitz BL, 2013, ENVIRON MICROBIOL, V15, P1428, DOI 10.1111/j.1462-2920.2012.02836.x
Jacquet S, 2005, FRESHWATER BIOL, V50, P627, DOI 10.1111/j.1365-2427.2005.01349.x
Jacquet S, 2007, FUND APPL LIMNOL, V170, P125, DOI 10.1127/1863-9135/2007/0170-0125
Jamindar S, 2012, APPL ENVIRON MICROB, V78, P8773, DOI 10.1128/AEM.02432-12
Jenkins CA, 2006, J MAR BIOL ASSOC UK, V86, P529, DOI 10.1017/S0025315406013439
Jia ZJ, 2007, ENVIRON MICROBIOL, V9, P1091, DOI 10.1111/j.1462-2920.2006.01207.x
Jost G, 2013, FUND APPL LIMNOL, V182, P183, DOI 10.1127/1863-9135/2013/0438
Katoh K, 2002, NUCLEIC ACIDS RES, V30, P3059, DOI 10.1093/nar/gkf436
King AMQ., 2011, 9 REPORT INT COMMITT
Li Y, 2013, SOIL BIOL BIOCHEM, V63, P97, DOI 10.1016/j.soilbio.2013.03.026
Liu JJ, 2012, SOIL SCI PLANT NUTR, V58, P435, DOI 10.1080/00380768.2012.703610
Liu JJ, 2011, SOIL BIOL BIOCHEM, V43, P1980, DOI 10.1016/j.soilbio.2011.05.005
López-Bueno A, 2009, SCIENCE, V326, P858, DOI 10.1126/science.1179287
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Lozupone CA, 2007, APPL ENVIRON MICROB, V73, P1576, DOI 10.1128/AEM.01996-06
Marti R, 2013, MOL MICROBIOL, V87, P818, DOI 10.1111/mmi.12134
Middelboe M, 2008, FRESHWATER BIOL, V53, P1069, DOI 10.1111/j.1365-2427.2008.02014.x
Nakayama N, 2009, SOIL SCI PLANT NUTR, V55, P53, DOI 10.1111/j.1747-0765.2008.00332.x
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Pagarete A, 2013, APPL ENVIRON MICROB, V79, P6253, DOI 10.1128/AEM.01075-13
Parvathi Ammini, 2012, Advances in Oceanography and Limnology, V3, P171, DOI 10.1080/19475721.2012.738157
Personnic S, 2009, J PLANKTON RES, V31, P1161, DOI 10.1093/plankt/fbp057
Personnic S, 2009, HYDROBIOLOGIA, V627, P99, DOI 10.1007/s10750-009-9718-8
Petrov VM, 2010, VIROL J, V7, DOI 10.1186/1743-422X-7-292
Ram ASP, 2010, FEMS MICROBIOL ECOL, V74, P83, DOI 10.1111/j.1574-6941.2010.00920.x
Ronquist F, 2012, SYST BIOL, V61, P539, DOI 10.1093/sysbio/sys029
Sandaa RA, 2008, RES MICROBIOL, V159, P374, DOI 10.1016/j.resmic.2008.04.013
Short CM, 2011, ISME J, V5, P810, DOI 10.1038/ismej.2010.183
Short SM, 2002, APPL ENVIRON MICROB, V68, P1290, DOI 10.1128/AEM.68.3.1290-1296.2002
Sime-Ngando T, 2008, ECOL RES, V23, P851, DOI 10.1007/s11284-007-0448-y
Sullivan MB, 2009, ENVIRON MICROBIOL, V11, P2935, DOI 10.1111/j.1462-2920.2009.02081.x
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Thomas R, 2011, ENVIRON MICROBIOL, V13, P616, DOI 10.1111/j.1462-2920.2010.02364.x
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Wang GH, 2011, BIOL FERT SOILS, V47, P273, DOI 10.1007/s00374-010-0533-1
Wang G, 2009, SOIL BIOL BIOCHEM, V41, P423, DOI 10.1016/j.soilbio.2008.11.012
Wang G, 2009, SOIL BIOL BIOCHEM, V41, P13, DOI 10.1016/j.soilbio.2008.07.008
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weinbauer MG, 2004, ENVIRON MICROBIOL, V6, P1, DOI 10.1046/j.1462-2920.2003.00539.x
Wilhelm SW, 2008, FRESHWATER BIOL, V53, P1076, DOI 10.1111/j.1365-2427.2008.01980.x
Wolf A, 2003, APPL ENVIRON MICROB, V69, P2395, DOI 10.1128/AEM.69.4.2395-2398.2003
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zheng CY, 2013, MICROB ECOL, V65, P616, DOI 10.1007/s00248-012-0158-z
Zhong X, 2014, ENVIRON MICROBIOL, V16, P759, DOI 10.1111/1462-2920.12201
Zhong X, 2014, MICROB ECOL, V67, P66, DOI 10.1007/s00248-013-0320-2
Zhong X, 2013, APPL ENVIRON MICROB, V79, P7169, DOI 10.1128/AEM.01914-13
Zhong X, 2013, FEMS MICROBIOL ECOL, V86, P312, DOI 10.1111/1574-6941.12166
NR 75
TC 15
Z9 17
PD AUG
PY 2014
VL 59
IS 8
BP 1577
EP 1595
DI 10.1111/fwb.12365
UT WOS:000339385100002
DA 2025-07-30
ER
PT J
AU Aalto, NJ
Schweitzer, HD
Krsmanovic, S
Campbell, K
Bernstein, HC
AF Aalto, Nerea J.
Schweitzer, Hannah D.
Krsmanovic, Stina
Campbell, Karley
Bernstein, Hans C.
TI Diversity and Selection of Surface Marine Microbiomes in the
Atlantic-Influenced Arctic
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Arctic marine environments are experiencing rapid changes due to the polar amplification of global warming. These changes impact the habitat of the cold-adapted microbial communities, which underpin biogeochemical cycles and marine food webs. We comparatively investigated the differences in prokaryotic and microeukaryotic taxa between summer surface water microbiomes sampled along a latitudinal transect from the ice-free southern Barents Sea and into the sea-ice-covered Nansen Basin to disentangle the dominating community (ecological) selection processes driving phylogenetic diversity. The community structure and richness of each site-specific microbiome were assessed in relation to the physical and biogeochemical conditions of the environment. A strong homogeneous deterministic selection process was inferred across the entire sampling transect via a phylogenetic null modeling approach. The microbial species richness and diversity were not negatively influenced by northward decreasing temperature and salinity. The results also suggest that regional phytoplankton blooms are a major prevalent factor in governing the bacterial community structure. This study supports the consideration that strong homogeneous selection is imposed across these cold-water marine environments uniformly, regardless of geographic assignments within either the Nansen Basin or the Barents Sea.
C1 [Aalto, Nerea J.; Schweitzer, Hannah D.; Krsmanovic, Stina; Campbell, Karley; Bernstein, Hans C.] UiT Arctic Univ Norway, Fac Biosci Fisheries & Econ, Tromso, Norway.
[Aalto, Nerea J.; Schweitzer, Hannah D.; Bernstein, Hans C.] UiT Arctic Univ Norway, Arctic Ctr Sustainable Energy, Tromso, Norway.
RP Bernstein, HC (corresponding author), UiT Arctic Univ Norway, Fac Biosci Fisheries & Econ, Tromso, Norway.; Bernstein, HC (corresponding author), UiT Arctic Univ Norway, Arctic Ctr Sustainable Energy, Tromso, Norway.
EM hans.c.bernstein@uit.no
CR Aalto NJ, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.692093
Ajani PA, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02758
Allen R, 2020, MOL ECOL, V29, P4680, DOI 10.1111/mec.15651
Amaral-Zettler LA, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006372
Amin SA, 2012, MICROBIOL MOL BIOL R, V76, P667, DOI 10.1128/MMBR.00007-12
ANDERSON LG, 1989, DEEP-SEA RES, V36, P475, DOI 10.1016/0198-0149(89)90048-4
Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
Arrigo KR, 2012, SCIENCE, V336, P1408, DOI 10.1126/science.1215065
Assmy P, 2017, SCI REP-UK, V7, DOI 10.1038/srep40850
Barton AD, 2016, P NATL ACAD SCI USA, V113, P2964, DOI 10.1073/pnas.1519080113
Behrenfeld MJ, 2006, NATURE, V444, P752, DOI 10.1038/nature05317
Brislawn CJ, 2019, ISME J, V13, P1865, DOI 10.1038/s41396-019-0396-x
Buchan A, 2014, NAT REV MICROBIOL, V12, P686, DOI 10.1038/nrmicro3326
Bussmann I, 2000, J MARINE SYST, V27, P209, DOI 10.1016/S0924-7963(00)00068-3
Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/NMETH.3869, 10.1038/nmeth.3869]
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cardozo-Mino MG, 2021, FRONT MICROBIOL, V12, DOI 10.3389/fmicb.2021.658803
Carter-Gates M, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-76293-x
Cirri E, 2019, NEW PHYTOL, V223, P100, DOI 10.1111/nph.15765
Connelly TL, 2014, APPL ENVIRON MICROB, V80, P6013, DOI 10.1128/AEM.01431-14
de Sousa AGG, 2019, MICROB ECOL, V78, P388, DOI 10.1007/s00248-018-01314-2
Degerlund M, 2010, ESTUAR COAST, V33, P242, DOI 10.1007/s12237-009-9167-7
Dickson AG., 2007, Guide to Best Practices for Ocean CO2 Measurements, DOI 10.25607/OBP-1342
Dini-Andreote F, 2015, P NATL ACAD SCI USA, V112, pE1326, DOI 10.1073/pnas.1414261112
Evans S, 2017, ISME J, V11, P176, DOI 10.1038/ismej.2016.96
Fadeev E, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00429
Faith DP, 2006, EVOL BIOINFORM, V2, P121
FAITH DP, 1992, BIOL CONSERV, V61, P1, DOI 10.1016/0006-3207(92)91201-3
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Francis B, 2021, ENVIRON MICROBIOME, V16, DOI 10.1186/s40793-021-00385-y
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Gilbert JA, 2010, STAND GENOMIC SCI, V3, P249, DOI [10.4056/aigs.1443528, 10.4056/sigs.1433550]
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Pereira PR, 2013, ISME J, V7, P603, DOI 10.1038/ismej.2012.126
Hatam I, 2014, FEMS MICROBIOL ECOL, V90, P115, DOI 10.1111/1574-6941.12377
HOLMHANSEN O, 1978, OIKOS, V30, P438, DOI 10.2307/3543338
Ibarbalz FM, 2019, CELL, V179, P1084, DOI 10.1016/j.cell.2019.10.008
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kembel SW, 2010, BIOINFORMATICS, V26, P1463, DOI 10.1093/bioinformatics/btq166
Kirchman DL, 2007, LIMNOL OCEANOGR, V52, P495, DOI 10.4319/lo.2007.52.2.0495
Kwok R, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae3ec
Le Quéré C, 2005, GLOBAL CHANGE BIOL, V11, P2016, DOI 10.1111/j.1365-2468.2005.01004.x
Lee J, 2019, SCI REP-UK, V9, DOI [10.1038/s41598-019-51555-5, 10.1038/s41598-019-38951-7]
Levinsen H, 2000, MAR ECOL PROG SER, V206, P119, DOI 10.3354/meps206119
Litchman E, 2015, J ECOL, V103, P1384, DOI 10.1111/1365-2745.12438
Liu C, 2021, FEMS MICROBIOL ECOL, V97, DOI 10.1093/femsec/fiaa255
LOENG H, 1991, POLAR RES, V10, P5, DOI 10.1111/j.1751-8369.1991.tb00630.x
Lozupone C, 2011, ISME J, V5, P169, DOI 10.1038/ismej.2010.133
Martin K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25646-9
Martin-Platero AM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02571-4
Matrai P, 2007, J MARINE SYST, V67, P83, DOI 10.1016/j.jmarsys.2006.10.001
Meire L, 2015, BIOGEOSCIENCES, V12, P2347, DOI 10.5194/bg-12-2347-2015
Meyer A, 2017, J GEOPHYS RES-OCEANS, V122, P4569, DOI 10.1002/2016JC012441
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Needham DM, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.5, 10.1038/nmicrobiol.2016.5]
NORRMAN B, 1995, LIMNOL OCEANOGR, V40, P898, DOI 10.4319/lo.1995.40.5.0898
Oksanen Jari, 2024, CRAN
Orkney A, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0357
Oziel L, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15485-5
Oziel L, 2017, J GEOPHYS RES-OCEANS, V122, P5121, DOI 10.1002/2016JC012582
Peralta-Ferriz C, 2015, PROG OCEANOGR, V134, P19, DOI 10.1016/j.pocean.2014.12.005
Pérez-Hernández MD, 2017, J GEOPHYS RES-OCEANS, V122, P2269, DOI 10.1002/2016JC012486
Polyakov IV, 2017, SCIENCE, V356, P285, DOI 10.1126/science.aai8204
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
Rapp JZ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01035
Riedel A, 2006, AQUAT MICROB ECOL, V45, P195, DOI 10.3354/ame045195
Robeson MS., 2020, BIORXIV, DOI DOI 10.1101/2020.10.05.326504
Rudels B., 1994, GEOPHYS MONOGR SER, V85, P33, DOI [10.1029/GM085p0033, DOI 10.1029/GM085P0033]
Salazar G, 2019, CELL, V179, P1068, DOI 10.1016/j.cell.2019.10.014
Schweitzer H, 2021, ONE EARTH, V4, P49, DOI 10.1016/j.oneear.2020.12.006
Segata N, 2011, GENOME BIOL, V12, DOI 10.1186/gb-2011-12-6-r60
Signori CN, 2018, DEEP-SEA RES PT II, V149, P150, DOI 10.1016/j.dsr2.2017.12.017
SMITH DC, 1995, DEEP-SEA RES PT II, V42, P75, DOI 10.1016/0967-0645(95)00005-B
Stegen JC, 2013, ISME J, V7, P2069, DOI 10.1038/ismej.2013.93
Stegen JC, 2012, ISME J, V6, P1653, DOI 10.1038/ismej.2012.22
Strickland J. D. H., 1972, A practical hand book of seawater analysis, V2nd ed.
Teeling H, 2016, ELIFE, V5, DOI 10.7554/eLife.11888
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Thomas MK, 2012, SCIENCE, V338, P1085, DOI 10.1126/science.1224836
Tolar BB, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00237
Tragin M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-32338-w
Tréguer P, 2018, NAT GEOSCI, V11, P27, DOI 10.1038/s41561-017-0028-x
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Underwood GJC, 2019, NAT CLIM CHANGE, V9, P170, DOI 10.1038/s41558-018-0391-7
Vellend M, 2010, Q REV BIOL, V85, P183, DOI 10.1086/652373
Wassmann P, 2006, J MARINE SYST, V59, P1, DOI 10.1016/j.jmarsys.2005.05.006
Wassmann P, 2006, PROG OCEANOGR, V71, P232, DOI 10.1016/j.pocean.2006.10.003
Yilmaz P, 2014, NUCLEIC ACIDS RES, V42, pD643, DOI 10.1093/nar/gkt1209
Zhang F, 2015, POLAR BIOL, V38, P1081, DOI 10.1007/s00300-015-1662-7
Zhang WP, 2020, MICROBIOME, V8, DOI [10.1186/s40168-020-00826-9, 10.3390/microorganisms8060953]
NR 91
TC 14
Z9 14
PD JUL 14
PY 2022
VL 13
AR 892634
DI 10.3389/fmicb.2022.892634
UT WOS:000886959500001
DA 2025-07-30
ER
PT J
AU Urbach, E
Vergin, KL
Young, L
Morse, A
Larson, GL
Giovannoni, SJ
AF Urbach, E
Vergin, KL
Young, L
Morse, A
Larson, GL
Giovannoni, SJ
TI Unusual bacterioplankton community structure in ultra-oligotrophic
Crater Lake
SO LIMNOLOGY AND OCEANOGRAPHY
DT Article
AB The bacterioplankton assemblage in Crater Lake, Oregon (U.S.A.), is different from communities found in other oxygenated lakes, as demonstrated by four small subunit ribosomal ribonucleic acid (SSU rRNA) gene clone libraries and oligonucleotide probe hybridization to RNA from lake water. Populations in the euphotic zone of this deep (589 m), oligotrophic caldera lake are dominated by two phylogenetic clusters of currently uncultivated bacteria: CL120-10, a newly identified cluster in the verrucomicrobiales, and ACK4 actinomycetes, known as a minor constituent of bacterioplankton in other lakes. Deep-water populations at 300 and 500 m are dominated by a different pair of uncultivated taxa: CL500-11, a novel cluster in the green nonsulfur bacteria, and group I marine crenarchaeota. beta -Proteobacteria, dominant in most other freshwater environments, are relatively rare in Crater Lake (less than or equal to 16% of nonchloroplast bacterial rRNA at all depths). Other taxa identified in Crater Lake libraries include a newly identified candidate bacterial division, ABY1, and a newly identified subcluster, CL0-1, within candidate division OP10. Probe analyses confirmed vertical stratification of several microbial groups, similar to patterns observed in open-ocean systems. Additional similarities between Crater Lake and ocean microbial populations include aphotic zone dominance of group I marine crenarchaeota and green nonsulfur bacteria. Comparison of Crater Lake to other lakes studied by rRNA methods suggests that selective factors structuring Crater Lake bacterioplankton populations may include low concentrations of available trace metals and dissolved organic matter, chemistry of infiltrating hydrothermal waters, and irradiation by high levels of ultraviolet light.
C1 Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
Oregon State Univ, Forest Sci Lab, USGS Forest & Rangeland Ecosyst Sci Ctr, Corvallis, OR 97331 USA.
RP Urbach, E (corresponding author), Univ Tennessee, Dept Microbiol, Knoxville, TN 37996 USA.
CR Alfreider A, 1996, APPL ENVIRON MICROB, V62, P2138, DOI 10.1128/AEM.62.6.2138-2144.1996
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
[Anonymous], STAND METH EX WAT WA
Bahr M, 1996, AQUAT MICROB ECOL, V11, P271, DOI 10.3354/ame011271
Belkova NL, 1996, DOKL AKAD NAUK+, V348, P692
Cavender-Bares KK, 1999, LIMNOL OCEANOGR, V44, P237, DOI 10.4319/lo.1999.44.2.0237
COLLIER RW, 1991, 907 OR STAT U COLL O
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
DeLong E, 1998, SCIENCE, V280, P542, DOI 10.1126/science.280.5363.542
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
Dojka MA, 1998, APPL ENVIRON MICROB, V64, P3869
DYMOND J, 1989, NATURE, V342, P673, DOI 10.1038/342673a0
FAULKNER KK, 1991, LIMNOL OCEANOGR, V36, P413
Felsenstein Joseph, 1993, PHYLIP (Phylogeny Inference Package) version 3.5c
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
FUHRMAN JA, 1993, APPL ENVIRON MICROB, V59, P1294, DOI 10.1128/AEM.59.5.1294-1302.1993
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
GIOVANNONI SJ, 1990, APPL ENVIRON MICROB, V56, P2572, DOI 10.1128/AEM.56.8.2572-2575.1990
GOLDMAN CR, 1963, PRIMARY PRODUCTIVITY, P103
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
GROEGER AW, 1993, VERHANDLUNGEN INT VE, V25, P370
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
Höfle MG, 1999, APPL ENVIRON MICROB, V65, P3164
Hugenholtz P, 1998, J BACTERIOL, V180, P366, DOI 10.1128/JB.180.2.366-376.1998
Kuske CR, 1997, APPL ENVIRON MICROB, V63, P3614, DOI 10.1128/AEM.63.9.3614-3621.1997
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115
LANE JL, 1984, HYDROBIOLOGIA, V118, P219, DOI 10.1007/BF00021047
Larson Gary L., 1996, Lake and Reservoir Management, V12, P281
Larson Gary L., 1996, Lake and Reservoir Management, V12, P230
LARSON GL, 1993, NPSPNROSUNRTR9303 US
Li LN, 1999, BIODIVERS CONSERV, V8, P659, DOI 10.1023/A:1008848203739
Maidak BL, 1999, NUCLEIC ACIDS RES, V27, P171, DOI 10.1093/nar/27.1.171
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Massana R, 2000, APPL ENVIRON MICROB, V66, P1777, DOI 10.1128/AEM.66.5.1777-1787.2000
McIntire C. David, 1996, Lake and Reservoir Management, V12, P259
McManus J, 1996, LIMNOL OCEANOGR, V41, P722, DOI 10.4319/lo.1996.41.4.0722
MCMANUS J, 1993, J GEOPHYS RES, V98, P295
Methé BA, 1999, HYDROBIOLOGIA, V401, P77, DOI 10.1023/A:1003782209607
Methe BA, 1998, LIMNOL OCEANOGR, V43, P368, DOI 10.4319/lo.1998.43.2.0368
Morris DP, 1997, LIMNOL OCEANOGR, V42, P239, DOI 10.4319/lo.1997.42.2.0239
Murray AE, 1998, APPL ENVIRON MICROB, V64, P2585
Nelson Peter O., 1996, Lake and Reservoir Management, V12, P248
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Polz MF, 1997, APPL ENVIRON MICROB, V63, P1028, DOI 10.1128/AEM.63.3.1028-1033.1997
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Priscu JC, 1999, SCIENCE, V286, P2141, DOI 10.1126/science.286.5447.2141
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Semenova EA, 1998, MOL BIOL+, V32, P754
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
STACKEBRANDT E, IN PRESS PROKARYOTES
Strunk O., 1996, ARB SOFTWARE ENV SEQ
SWOFFORD DL, 1996, PAUP PHYLOGENETIC AN
Vincent WF, 1998, LIMNOL OCEANOGR, V43, P618, DOI 10.4319/lo.1998.43.4.0618
Williamson CE, 1996, LIMNOL OCEANOGR, V41, P1024, DOI 10.4319/lo.1996.41.5.1024
Zwart G, 1998, SYST APPL MICROBIOL, V21, P546, DOI 10.1016/S0723-2020(98)80067-2
NR 58
TC 177
Z9 195
PD MAY
PY 2001
VL 46
IS 3
BP 557
EP 572
DI 10.4319/lo.2001.46.3.0557
UT WOS:000168511500009
DA 2025-07-30
ER
PT J
AU Suzuki, MT
Preston, CM
Béjà, O
de la Torre, JR
Steward, GF
DeLong, EF
AF Suzuki, MT
Preston, CM
Béjà, O
de la Torre, JR
Steward, GF
DeLong, EF
TI Phylogenetic screening of ribosomal RNA gene-containing clones in
bacterial artificial chromosome (BAC) libraries from different depths in
Monterey Bay
SO MICROBIAL ECOLOGY
DT Article
AB Marine picoplankton are central mediators of many oceanic biogeochemical processes, but much of their biology and ecology remains ill defined. One approach to better defining these environmentally significant microbes involves the acquisition of genomic data that can provide information about genome content, metabolic capabilities, and population variability in picoplankton assemblages. Previously, we constructed and phylogenetically screened a Bacterial Artificial Chromosome (BAC) library from surface water picoplankton of Monterey Bay. To further describe niche partitioning, metabolic variability, and population structure in coastal picoplankton populations, we constructed and compared several picoplankton BAC libraries recovered from different depths in Monterey Bay. To facilitate library screening, a rapid technique was developed (ITS-LH-PCR) to identify and quantify ribosomal RNA (rRNA) gene-containing BAC clones in BAC libraries. The approach exploited natural length variations in the internal transcribed spacer (ITS) located between SSU and LSU rRNA genes, as well as the presence and location of tRNA-alanine coding genes within the ITS. The correspondence between ITS-LH-PCR fragment sizes and 16S rRNA gene phylogenies facilitated rapid identification of rRNA genes in BAC clones without requiring direct DNA sequencing. Using this approach, 35 phylogenetic groups (previously identified by cultivation or PCR-based rRNA gene surveys) were detected and quantified among the BAC clones. Since the probability of recovering chimeric rRNA gene sequences in large insert BAC clones was low, we used these sequences to identify potentially chimeric sequences from previous PCR amplified clones deposited in public databases. Full-length SSU rRNA gene sequences from picoplankton BAC libraries, cultivated bacterioplankton, and nonchimeric RNA genes were then used to refine phylogenetic analyses of planktonic marine gamma Proteobacteria, Roseobacter, and Rhodospirillales species.
C1 Univ Maryland, Chesapeake Biol Lab, Ctr Environm Sci, Solomons, MD 20688 USA.
Monterey Bay Aquarium Res Inst, Moss Landing, CA 95039 USA.
RP MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM delong@mit.edu
CR AMANN RI, 1995, MICROBIOL REV, V59, P143, DOI 10.1128/MMBR.59.1.143-169.1995
Amemiya Chris T., 1996, P223, DOI 10.1016/B978-012101285-4/50009-6
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Béjà O, 2002, NATURE, V415, P630, DOI 10.1038/415630a
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Béjà O, 2002, APPL ENVIRON MICROB, V68, P335, DOI 10.1128/AEM.68.1.335-345.2002
Béjà O, 2000, ENVIRON MICROBIOL, V2, P516, DOI 10.1046/j.1462-2920.2000.00133.x
Borneman J, 1997, APPL ENVIRON MICROB, V63, P2647, DOI 10.1128/AEM.63.7.2647-2653.1997
Bradford Patricia A., 2001, Curr Infect Dis Rep, V3, P13, DOI 10.1007/s11908-001-0054-z
BROSIUS J, 1981, J MOL BIOL, V148, P107, DOI 10.1016/0022-2836(81)90508-8
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
DELONG EF, 1992, P NATL ACAD SCI USA, V89, P5685, DOI 10.1073/pnas.89.12.5685
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Felsenstein J., 1989, CLADISTICS, V5, P164, DOI DOI 10.1111/J.1096-0031.1989.TB00562.X
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fisher MM, 1999, APPL ENVIRON MICROB, V65, P4630
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
García-Martínez J, 1999, J MICROBIOL METH, V36, P55, DOI 10.1016/S0167-7012(99)00011-1
Garrity GM., 2001, Taxonomic Outline of the Prokaryotes Bergey's Manual of Systematic Bacteriology, VSecond
Gillespie DE, 2002, APPL ENVIRON MICROB, V68, P4301, DOI 10.1128/AEM.68.9.4301-4306.2002
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 1996, P NATL ACAD SCI USA, V93, P7979, DOI 10.1073/pnas.93.15.7979
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Gurtler V, 1996, MICROBIOL-SGM, V142, P3, DOI 10.1099/13500872-142-1-3
Hagström Å, 2002, APPL ENVIRON MICROB, V68, P3628, DOI 10.1128/AEM.68.7.3628-3633.2002
Lane D.J., 1991, NUCL ACID TECHNIQUES, P115, DOI DOI 10.4135/9781446279281.N7
Liles MR, 2003, APPL ENVIRON MICROB, V69, P2684, DOI 10.1128/AEM.69.5.2684-2691.2003
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
MacNeil IA, 2001, J MOL MICROB BIOTECH, V3, P301
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Quaiser A, 2002, ENVIRON MICROBIOL, V4, P603, DOI 10.1046/j.1462-2920.2002.00345.x
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Rappé MS, 1999, SYST APPL MICROBIOL, V22, P106, DOI 10.1016/S0723-2020(99)80033-2
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Rondon MR, 2000, APPL ENVIRON MICROB, V66, P2541, DOI 10.1128/AEM.66.6.2541-2547.2000
Sabehi G, 2003, ENVIRON MICROBIOL, V5, P842, DOI 10.1046/j.1462-2920.2003.00493.x
Schleper C, 1998, J BACTERIOL, V180, P5003, DOI 10.1128/JB.180.19.5003-5009.1998
Schleper C, 1997, J BACTERIOL, V179, P7803, DOI 10.1128/jb.179.24.7803-7811.1997
Stein Jeffrey L., 1993, Molecular Marine Biology and Biotechnology, V2, P280
Stein JL, 1996, J BACTERIOL, V178, P591, DOI 10.1128/jb.178.3.591-599.1996
Suzuki M.T., 2002, Biodiversity of Microbial Life, P209
Suzuki MT, 2000, APPL ENVIRON MICROB, V66, P4605, DOI 10.1128/AEM.66.11.4605-4614.2000
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 50
TC 96
Z9 107
PD DEC
PY 2004
VL 48
IS 4
BP 473
EP 488
DI 10.1007/s00248-004-0213-5
UT WOS:000226829500004
DA 2025-07-30
ER
PT J
AU Brum, JR
Sullivan, MB
AF Brum, Jennifer R.
Sullivan, Matthew B.
TI Rising to the challenge: accelerated pace of discovery transforms marine
virology
SO NATURE REVIEWS MICROBIOLOGY
DT Review
AB Marine viruses have important roles in microbial mortality, gene transfer, metabolic reprogramming and biogeochemical cycling. In this Review, we discuss recent technological advances in marine virology including the use of near-quantitative, reproducible metagenomics for large-scale investigation of viral communities and the emergence of gene-based viral ecology. We also describe the reprogramming of microbially driven processes by viral metabolic genes, the identification of novel viruses using cultivation-dependent and cultivation-independent tools, and the potential for modelling studies to provide a framework for studying virus-host interactions. These transformative advances have set a rapid pace in exploring and predicting how marine viruses manipulate and respond to their environment.
C1 [Brum, Jennifer R.; Sullivan, Matthew B.] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA.
RP Sullivan, MB (corresponding author), Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ 85721 USA.
EM mbsulli@gmail.com
CR ADAMS MARK H., 1959
Allers E, 2013, ENVIRON MICROBIOL, V15, P2306, DOI 10.1111/1462-2920.12100
Anantharaman K, 2014, SCIENCE, V344, P757, DOI 10.1126/science.1252229
Angly FE, 2006, PLOS BIOL, V4, P2121, DOI 10.1371/journal.pbio.0040368
Avrani S, 2011, NATURE, V474, P604, DOI 10.1038/nature10172
BERGH O, 1989, NATURE, V340, P467, DOI 10.1038/340467a0
Bettarel Y, 2000, APPL ENVIRON MICROB, V66, P2283, DOI 10.1128/AEM.66.6.2283-2289.2000
Biller SJ, 2014, SCIENCE, V343, P183, DOI 10.1126/science.1243457
Bragg JG, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003550
Breitbart M, 2004, P ROY SOC B-BIOL SCI, V271, P565, DOI 10.1098/rspb.2003.2628
Breitbart M, 2002, P NATL ACAD SCI USA, V99, P14250, DOI 10.1073/pnas.202488399
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Breitbart M, 2007, OCEANOGRAPHY, V20, P135, DOI 10.5670/oceanog.2007.58
Brum J. R., 2014, ECODAS 9 S P, pCh 2
Brum JR, 2013, ISME J, V7, P1738, DOI 10.1038/ismej.2013.67
Brum JR, 2005, AQUAT MICROB ECOL, V41, P103, DOI 10.3354/ame041103
Brussaard CPD, 2000, J VIROL METHODS, V85, P175, DOI 10.1016/S0166-0934(99)00167-6
Chow CET, 2014, ISME J, V8, P816, DOI 10.1038/ismej.2013.199
Chow CET, 2012, ENVIRON MICROBIOL, V14, P2171, DOI 10.1111/j.1462-2920.2012.02744.x
Clokie MRJ, 2006, ENVIRON MICROBIOL, V8, P827, DOI 10.1111/j.1462-2920.2005.00969.x
Cordero OX, 2014, NAT REV MICROBIOL, V12, P263, DOI 10.1038/nrmicro3218
Culley A. I., 2010, MANUAL AQUATIC VIRAL
Culley AI, 2003, NATURE, V424, P1054, DOI 10.1038/nature01886
Culley AI, 2006, SCIENCE, V312, P1795, DOI 10.1126/science.1127404
DeLong EE, 2001, SYST BIOL, V50, P470, DOI 10.1080/10635150118513
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Deng L, 2014, NATURE, V513, P242, DOI 10.1038/nature13459
Deng L, 2012, MBIO, V3, DOI 10.1128/mBio.00373-12
Duhaime Melissa B, 2012, Environ Microbiol, V14, P2526, DOI 10.1111/j.1462-2920.2012.02791.x
Duhaime MB, 2012, VIROLOGY, V434, P181, DOI 10.1016/j.virol.2012.09.036
Edwards RA, 2005, NAT REV MICROBIOL, V3, P504, DOI 10.1038/nrmicro1163
Enav H, 2014, MICROBIOME, V2, DOI 10.1186/2049-2618-2-9
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Flores CO, 2013, ISME J, V7, P520, DOI 10.1038/ismej.2012.135
Flores CO, 2011, P NATL ACAD SCI USA, V108, pE288, DOI 10.1073/pnas.1101595108
Forterre P, 2013, TRENDS MICROBIOL, V21, P1, DOI 10.1016/j.tim.2012.10.005
Fuhrman J., 2000, MICROBIAL ECOLOGY OC
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Fuller NJ, 1998, APPL ENVIRON MICROB, V64, P2051
Gansauge MT, 2013, NAT PROTOC, V8, P737, DOI 10.1038/nprot.2013.038
Garrouste R, 2013, NATURE, V494, pE4, DOI 10.1038/nature11888
Geslin C, 2007, J BACTERIOL, V189, P4510, DOI 10.1128/JB.01896-06
Gobler CJ, 1997, LIMNOL OCEANOGR, V42, P1492, DOI 10.4319/lo.1997.42.7.1492
HENNES KP, 1995, LIMNOL OCEANOGR, V40, P1050, DOI 10.4319/lo.1995.40.6.1050
Hingamp P, 2013, ISME J, V7, P1678, DOI 10.1038/ismej.2013.59
Holmfeldt K, 2014, ENVIRON MICROBIOL, V16, P2501, DOI 10.1111/1462-2920.12391
Holmfeldt K, 2013, P NATL ACAD SCI USA, V110, P12798, DOI 10.1073/pnas.1305956110
Holmfeldt K, 2012, APPL ENVIRON MICROB, V78, P892, DOI 10.1128/AEM.06580-11
Hurwitz B. L., 2014, ISME J
Hurwitz BL, 2014, P NATL ACAD SCI USA, V111, P10714, DOI 10.1073/pnas.1319778111
Hurwitz BL, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r123
Hurwitz BL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0057355
Hurwitz BL, 2013, ENVIRON MICROBIOL, V15, P1428, DOI 10.1111/j.1462-2920.2012.02836.x
Ignacio-Espinoza JC, 2013, CURR OPIN VIROL, V3, P566, DOI 10.1016/j.coviro.2013.07.004
John SG, 2011, ENV MICROBIOL REP, V3, P195, DOI 10.1111/j.1758-2229.2010.00208.x
Kang I, 2013, P NATL ACAD SCI USA, V110, P12343, DOI 10.1073/pnas.1219930110
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Karsenti E, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1001177
Keller DP, 2013, J MARINE SYST, V109, P109, DOI 10.1016/j.jmarsys.2012.01.002
Keller DP, 2011, ECOL MODEL, V222, P1139, DOI 10.1016/j.ecolmodel.2010.12.014
Kim KH, 2011, APPL ENVIRON MICROB, V77, P7663, DOI 10.1128/AEM.00289-11
Labonte JM, 2013, ISME J, V7, P2169, DOI 10.1038/ismej.2013.110
Lang AS, 2009, FEMS MICROBIOL REV, V33, P295, DOI 10.1111/j.1574-6976.2008.00132.x
Lindell D, 2005, NATURE, V438, P86, DOI 10.1038/nature04111
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Lindell D, 2007, NATURE, V449, P83, DOI 10.1038/nature06130
Mann NH, 2003, NATURE, V424, P741, DOI 10.1038/424741a
Marie D, 1999, APPL ENVIRON MICROB, V65, P45
Marston MF, 2012, P NATL ACAD SCI USA, V109, P4544, DOI 10.1073/pnas.1120310109
MATSON PA, 1992, ECOLOGY, V73, P723, DOI 10.2307/1940151
Mizuno CM, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003987
Modi SR, 2013, NATURE, V499, P219, DOI 10.1038/nature12212
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Noble RT, 1998, AQUAT MICROB ECOL, V14, P113, DOI 10.3354/ame014113
Noble RT, 1999, AQUAT MICROB ECOL, V20, P1, DOI 10.3354/ame020001
Pace NR, 1997, SCIENCE, V276, P734, DOI 10.1126/science.276.5313.734
Parsons RJ, 2012, ISME J, V6, P273, DOI 10.1038/ismej.2011.101
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Prangishvili D, 2006, NAT REV MICROBIOL, V4, P837, DOI 10.1038/nrmicro1527
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Reed DC, 2014, P NATL ACAD SCI USA, V111, P1879, DOI 10.1073/pnas.1313713111
Rodriguez-Brito B, 2010, ISME J, V4, P739, DOI 10.1038/ismej.2010.1
Rodriguez-Valera Francisco, 2014, Bacteriophage, V4, pe28265
Rohwer F, 2003, CELL, V113, P141, DOI 10.1016/S0092-8674(03)00276-9
Rosario K, 2009, J GEN VIROL, V90, P2418, DOI 10.1099/vir.0.012955-0
Roux S, 2014, ELIFE, V3, DOI 10.7554/eLife.03125
Roux S, 2013, OPEN BIOL, V3, DOI 10.1098/rsob.130160
Roux S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040418
Roux S, 2011, BIOINFORMATICS, V27, P3074, DOI 10.1093/bioinformatics/btr519
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schlitzer R., 2010, Ocean Data View
Seguritan V, 2012, PLOS COMPUT BIOL, V8, DOI 10.1371/journal.pcbi.1002657
Sharon I, 2011, ISME J, V5, P1178, DOI 10.1038/ismej.2011.2
Soler N, 2015, ISME J, V9, P793, DOI 10.1038/ismej.2014.184
Solonenko SA, 2013, METHOD ENZYMOL, V531, P143, DOI 10.1016/B978-0-12-407863-5.00008-3
Solonenko SA, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-320
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Steward GF, 2000, LIMNOL OCEANOGR, V45, P1697, DOI 10.4319/lo.2000.45.8.1697
Steward GF, 2013, ISME J, V7, P672, DOI 10.1038/ismej.2012.121
Steward GF, 2011, VIROL J, V8, DOI 10.1186/1743-422X-8-287
Sullivan MB, 2006, PLOS BIOL, V4, P1344, DOI 10.1371/journal.pbio.0040234
Sullivan MB, 2010, ENVIRON MICROBIOL, V12, P3035, DOI 10.1111/j.1462-2920.2010.02280.x
Sullivan MB, 2009, ENVIRON MICROBIOL, V11, P2935, DOI 10.1111/j.1462-2920.2009.02081.x
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Sullivan MB, 2003, NATURE, V424, P1047, DOI 10.1038/nature01929
SUTTLE CA, 1993, MAR ECOL PROG SER, V92, P99, DOI 10.3354/meps092099
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Tadmor AD, 2011, SCIENCE, V333, P58, DOI 10.1126/science.1200758
Tétart F, 2001, J BACTERIOL, V183, P358, DOI 10.1128/JB.183.1.358-366.2001
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Tomaru Y, 2007, J OCEANOGR, V63, P215, DOI 10.1007/s10872-007-0023-8
Tucker KP, 2011, ISME J, V5, P822, DOI 10.1038/ismej.2010.188
Tzahor S, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-229
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
WATERBURY JB, 1993, APPL ENVIRON MICROB, V59, P3393, DOI 10.1128/AEM.59.10.3393-3399.1993
Weinbauer MG, 1997, AQUAT MICROB ECOL, V13, P225, DOI 10.3354/ame013225
Weitz JS, 2013, TRENDS MICROBIOL, V21, P82, DOI 10.1016/j.tim.2012.11.003
Weitz Joshua S, 2012, F1000 Biol Rep, V4, P17
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Willner D, 2013, BIOESSAYS, V35, P436, DOI 10.1002/bies.201200174
Wommack KE, 2008, APPL ENVIRON MICROB, V74, P1453, DOI 10.1128/AEM.02181-07
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Wommack KE, 1999, APPL ENVIRON MICROB, V65, P231
Wright JJ, 2012, NAT REV MICROBIOL, V10, P381, DOI 10.1038/nrmicro2778
Yooseph S, 2007, PLOS BIOL, V5, P432, DOI 10.1371/journal.pbio.0050016
Zeidner G, 2005, ENVIRON MICROBIOL, V7, P1505, DOI 10.1111/j.1462-2920.2005.00833.x
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 129
TC 237
Z9 266
PD MAR
PY 2015
VL 13
IS 3
BP 147
EP 159
DI 10.1038/nrmicro3404
UT WOS:000349844300010
DA 2025-07-30
ER
PT J
AU Singh, SK
Kotakonda, A
Kapardar, RK
Kankipati, HK
Rao, PS
Sankaranarayanan, PM
Vetaikorumagan, SR
Gundlapally, SR
Nagappa, R
Shivaji, S
AF Singh, Sanjay K.
Kotakonda, Arunasri
Kapardar, Raj K.
Kankipati, Hara Kishore
Rao, Pasupuleti Sreenivasa
Sankaranarayanan, Pratibha Mambatta
Vetaikorumagan, Sundareswaran R.
Gundlapally, Sathyanarayana Reddy
Nagappa, Ramaiah
Shivaji, Sisinthy
TI Response of bacterioplankton to iron fertilization of the Southern
Ocean, Antarctica
SO FRONTIERS IN MICROBIOLOGY
DT Article
AB Ocean iron fertilization is an approach to increase CO2 sequestration. The Ingo-German iron fertilization experiment "LOHAFEX" was carried out in the Southern Ocean surrounding Antarctica in 2009 to monitor changes in bacterial community structure following iron fertilization-induced phytoplankton bloom of the seawater from different depths. 16S rRNA gene libraries were constructed using metagenomic DNA from seawater prior to and after iron fertilization and the clones were sequenced for identification of the major bacterial groups present and for phylogenetic analyses. A total of 4439 clones of 16S rRNA genes from ten 16S rRNA gene libraries were sequenced. More than 97.35% of the sequences represented four bacterial lineages i.e. Alphaproteobacteria, Gammaproteobacteria, Bacteroidetes, and Firmicutes and confirmed their role in scavenging of phytoplankton blooms induced following iron fertilization. The present study demonstrates the response of Firmicutes due to Iron fertilization which was not observed in previous southern ocean Iron fertilization studies. In addition, this study identifies three unique phylogenetic clusters LOHAFEX Cluster 1 (affiliated to Bacteroidetes), 2, and 3 (affiliated to Firmicutes) which were not detected in any of the earlier studies on iron fertilization. The relative abundance of these clusters in response to iron fertilization was different. The increase in abundance of LOHAFEX Cluster 2 and Papillibacter sp. another dominant Firmicutes may imply a role in phytoplankton degradation. Disappearance of LOHAFEX Cluster 3 and other bacterial genera after iron fertilization may imply conditions not conducive for their survival. It is hypothesized that heterotrophic bacterial abundance in the Southern Ocean would depend on their ability to utilize algal exudates, decaying algal biomass and other nutrients thus resulting in a dynamic bacterial succession of distinct genera.
C1 [Singh, Sanjay K.; Kotakonda, Arunasri; Kapardar, Raj K.; Kankipati, Hara Kishore; Rao, Pasupuleti Sreenivasa; Sankaranarayanan, Pratibha Mambatta; Vetaikorumagan, Sundareswaran R.; Gundlapally, Sathyanarayana Reddy; Shivaji, Sisinthy] CSIR, Ctr Cellular & Mol Biol, Hyderabad 500007, Andhra Pradesh, India.
[Nagappa, Ramaiah] CSIR, Natl Inst Oceanog, Hyderabad 500007, Andhra Pradesh, India.
RP Shivaji, S (corresponding author), CSIR, Ctr Cellular & Mol Biol, Uppal Rd, Hyderabad 500007, Andhra Pradesh, India.
EM shivas@ccmb.res.in
CR Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Arrieta JM, 2004, LIMNOL OCEANOGR, V49, P799, DOI 10.4319/lo.2004.49.3.0799
Ashelford KE, 2005, APPL ENVIRON MICROB, V71, P7724, DOI 10.1128/AEM.71.12.7724-7736.2005
Azam F, 2004, SCIENCE, V303, P1622, DOI 10.1126/science.1093892
BANSE K, 1988, INDIAN J MAR SCI, V17, P31
Bengelsdorf FR, 2013, FEMS MICROBIOL ECOL, V84, P201, DOI 10.1111/1574-6941.12055
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Boyd PW, 2007, SCIENCE, V315, P612, DOI 10.1126/science.1131669
Boyd PW, 2000, NATURE, V407, P695, DOI 10.1038/35037500
Bradford-Grieve JM, 1999, J PLANKTON RES, V21, P405, DOI 10.1093/plankt/21.3.405
Butler A, 1998, SCIENCE, V281, P207, DOI 10.1126/science.281.5374.207
Carlson CA, 1996, AQUAT MICROB ECOL, V10, P69, DOI 10.3354/ame010069
Church MJ, 2000, APPL ENVIRON MICROB, V66, P455, DOI 10.1128/AEM.66.2.455-466.2000
Church MJ., 2008, MICROBIAL ECOLOGY OC, P335, DOI DOI 10.1002/9780470281840.CH10
Coale KH, 1996, NATURE, V383, P495, DOI 10.1038/383495a0
Coale KH, 2004, SCIENCE, V304, P408, DOI 10.1126/science.1089778
COCHLAN WP, 1993, MAR ECOL PROG SER, V92, P77, DOI 10.3354/meps092077
Cochlan WP, 2001, LIMNOL OCEANOGR, V46, P428, DOI 10.4319/lo.2001.46.2.0428
Cotner JB, 1997, AQUAT MICROB ECOL, V13, P141, DOI 10.3354/ame013141
Defnoun S, 2000, INT J SYST EVOL MICR, V50, P1221, DOI 10.1099/00207713-50-3-1221
Ducklow H., 2000, MICROBIAL ECOLOGY OC, P85, DOI DOI 10.1002/9780470281840
Ducklow H. W., 1984, CURRENT PERSPECTIVES, P22
EDWARDS U, 1989, NUCLEIC ACIDS RES, V17, P7843, DOI 10.1093/nar/17.19.7843
FUHRMAN JA, 1980, APPL ENVIRON MICROB, V39, P1085, DOI 10.1128/AEM.39.6.1085-1095.1980
Gervais F, 2002, LIMNOL OCEANOGR, V47, P1324, DOI 10.4319/lo.2002.47.5.1324
Giovannoni Stephen J., 1996, V54, P63
Gómez-Pereira PR, 2012, ENVIRON MICROBIOL, V14, P52, DOI 10.1111/j.1462-2920.2011.02555.x
Hall JA, 2001, DEEP-SEA RES PT II, V48, P2591, DOI 10.1016/S0967-0645(01)00010-8
Hassler CS, 2011, P NATL ACAD SCI USA, V108, P1076, DOI 10.1073/pnas.1010963108
HOBBIE JE, 1977, APPL ENVIRON MICROB, V33, P1225, DOI 10.1128/AEM.33.5.1225-1228.1977
Hutchins DA, 2001, J GEOPHYS RES-OCEANS, V106, P31559, DOI 10.1029/2000JC000333
Hutchins DA, 2001, LIMNOL OCEANOGR, V46, P1535
Hutchins David A., 1995, Progress in Phycological Research, V11, P1
Jamieson RE, 2012, FEMS MICROBIOL ECOL, V80, P452, DOI 10.1111/j.1574-6941.2012.01313.x
Junge K, 2004, APPL ENVIRON MICROB, V70, P550, DOI 10.1128/AEM.70.1.550-557.2004
Kataoka T, 2009, DEEP-SEA RES PT II, V56, P2779, DOI 10.1016/j.dsr2.2009.06.013
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirchman DL, 1997, MICROBIAL ECOL, V33, P11, DOI 10.1007/s002489900003
KIRCHMAN DL, 1990, MAR ECOL PROG SER, V62, P47, DOI 10.3354/meps062047
Larkin MA, 2007, BIOINFORMATICS, V23, P2947, DOI 10.1093/bioinformatics/btm404
Lozupone C, 2005, APPL ENVIRON MICROB, V71, P8228, DOI 10.1128/AEM.71.12.8228-8235.2005
Maldonado MT, 1999, DEEP-SEA RES PT II, V46, P2447, DOI 10.1016/S0967-0645(99)00071-5
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MARTIN JH, 1994, NATURE, V371, P123, DOI 10.1038/371123a0
Mazzochi Maria Grazia, 2009, GLOBEC International Newsletter, V15, P3
Obernosterer I., 2007, Biogeosci. Disc, V4, P2809, DOI DOI 10.5194/BGD-4-2809-2007
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Oliver JL, 2004, LIMNOL OCEANOGR, V49, P2129, DOI 10.4319/lo.2004.49.6.2129
Pakulski JD, 1996, NATURE, V383, P133, DOI 10.1038/383133b0
Pinhassi J, 1999, AQUAT MICROB ECOL, V17, P13, DOI 10.3354/ame017013
POMEROY LR, 1986, SCIENCE, V233, P359, DOI 10.1126/science.233.4761.359
Pradhan S, 2010, EXTREMOPHILES, V14, P377, DOI 10.1007/s00792-010-0318-3
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shivaji S, 2004, CELL MOL BIOL, V50, P525
Smetacek V, 2008, PHILOS T R SOC A, V366, P3947, DOI 10.1098/rsta.2008.0144
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sugita H, 2012, AQUAC RES, V43, P481, DOI 10.1111/j.1365-2109.2011.02851.x
Suzuki K, 2005, PROG OCEANOGR, V64, P167, DOI 10.1016/j.pocean.2005.02.007
Tamura K, 2011, MOL BIOL EVOL, V28, P2731, DOI 10.1093/molbev/msr121
Thiele S, 2012, APPL ENVIRON MICROB, V78, P8803, DOI 10.1128/AEM.01814-12
Topping JN, 2006, AQUAT MICROB ECOL, V45, P229, DOI 10.3354/ame045229
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
NR 64
TC 18
Z9 18
PD AUG 26
PY 2015
VL 6
AR 863
DI 10.3389/fmicb.2015.00863
UT WOS:000360339500001
DA 2025-07-30
ER
PT J
AU Arandia-Gorostidi, N
González, JM
Huete-Stauffer, TM
Ansari, MI
Morán, XAG
Alonso-Sáez, L
AF Arandia-Gorostidi, Nestor
Gonzalez, Jose M.
Huete-Stauffer, Tamara M.
Ansari, Mohd, I
Moran, Xose Anxelu G.
Alonso-Saez, Laura
TI Light supports cell-integrity and growth rates of taxonomically diverse
coastal photoheterotrophs
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB Despite the widespread distribution of proteorhodopsin (PR)-containing bacteria in the oceans, the use of light-derived energy to promote bacterial growth has only been shown in a few bacterial isolates, and there is a paucity of data describing the metabolic effects of light on environmental photoheterotrophic taxa. Here, we assessed the effects of light on the taxonomic composition, cell integrity and growth responses of microbial communities in monthly incubations between spring and autumn under different environmental conditions. The photoheterotrophs expressing PRin situwere dominated byPelagibacteralesand SAR116 in July and November, while members ofEuryarchaeota,GammaproteobacteriaandBacteroidetesdominated the PR expression in spring. Cell-membrane integrity decreased under dark conditions throughout most of the assessment, with maximal effects in summer, under low-nutrient conditions. A positive effect of light on growth was observed in one incubation (out of nine), coinciding with a declining phytoplankton bloom. Light-enhanced growth was found inGammaproteobacteria(Alteromonadales) andBacteroidetes(PolaribacterandTenacibaculum). Unexpectedly, somePelagibacteralesalso exhibited higher growth rates under light conditions. We propose that the energy harvested by PRs helps to maintain cell viability in dominant coastal photoheterotrophic oligotrophs while promoting the growth of some widespread taxa benefiting from the decline of phytoplankton blooms.
C1 [Arandia-Gorostidi, Nestor; Huete-Stauffer, Tamara M.; Alonso-Saez, Laura] Ctr Oceanog Ajon Xixon, Inst Espanol Oceanog, Gijon Xixon, Asturias, Spain.
[Arandia-Gorostidi, Nestor] Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.
[Gonzalez, Jose M.] Univ La Laguna, Dept Microbiol, San Cristobal la Laguna, Spain.
[Huete-Stauffer, Tamara M.; Ansari, Mohd, I; Moran, Xose Anxelu G.] King Abdullah Univ Sci & Technol KAUST, Red Sea Res Ctr, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia.
[Alonso-Saez, Laura] Basque Res & Technol Alliance BRTA, AZTI, Marine Res, Sukarrieta 48395, Bizkaia, Spain.
RP Arandia-Gorostidi, N; Alonso-Sáez, L (corresponding author), Ctr Oceanog Ajon Xixon, Inst Espanol Oceanog, Gijon Xixon, Asturias, Spain.; Arandia-Gorostidi, N (corresponding author), Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA.; Alonso-Sáez, L (corresponding author), Basque Res & Technol Alliance BRTA, AZTI, Marine Res, Sukarrieta 48395, Bizkaia, Spain.
EM n.arandia86@gmail.com; lalonso@azti.es
CR Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
Alonso-Sáez L, 2015, ENVIRON MICROBIOL, V17, P3766, DOI 10.1111/1462-2920.12801
Alonso-Sáez L, 2010, ENVIRON MICROBIOL, V12, P2988, DOI 10.1111/j.1462-2920.2010.02276.x
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
Arandia-Gorostidi N, 2017, ENVIRON MICROBIOL, V19, P4493, DOI 10.1111/1462-2920.13898
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Biebl H, 2006, PROCESS BIOCHEM, V41, P2153, DOI 10.1016/j.procbio.2006.06.029
Biller SJ, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00040-18
Boeuft D, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01584
Calvo-Díaz A, 2006, AQUAT MICROB ECOL, V42, P159, DOI 10.3354/ame042159
Calvo-Díaz A, 2008, J MARINE SYST, V72, P271, DOI 10.1016/j.jmarsys.2007.03.008
Campbell BJ, 2008, ENVIRON MICROBIOL, V10, P99, DOI 10.1111/j.1462-2920.2007.01436.x
Christaki U, 2011, LIMNOL OCEANOGR-METH, V9, P329, DOI 10.4319/lom.2011.9.329
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
DeLong EF, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000359
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Feng S, 2013, ISME J, V7, P2206, DOI 10.1038/ismej.2013.97
Fernandez-Gomez B., 2012, THESIS
Ferrera I, 2017, ISME J, V11, P2391, DOI 10.1038/ismej.2017.79
Finkel OM, 2013, ISME J, V7, P448, DOI 10.1038/ismej.2012.112
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Giovannoni SJ, 2005, NATURE, V438, P82, DOI 10.1038/nature04032
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gómez-Consarnau L, 2007, NATURE, V445, P210, DOI 10.1038/nature05381
Gómez-Consarnau L, 2016, ISME J, V10, P1102, DOI 10.1038/ismej.2015.196
Gómez-Consarnau L, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000358
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Grégori G, 2001, APPL ENVIRON MICROB, V67, P4662, DOI 10.1128/AEM.67.10.4662-4670.2001
Jacquet S, 2001, J PHYCOL, V37, P357, DOI 10.1046/j.1529-8817.2001.037003357.x
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Klemetsen T, 2018, NUCLEIC ACIDS RES, V46, pD692, DOI 10.1093/nar/gkx1036
Klindworth A, 2014, MAR GENOM, V18, P185, DOI 10.1016/j.margen.2014.08.007
Kopel M, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01081-14
Lemée R, 2002, AQUAT MICROB ECOL, V29, P227, DOI 10.3354/ame029227
Malmstrom RR, 2007, AQUAT MICROB ECOL, V47, P45, DOI 10.3354/ame047045
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Martinez A, 2007, P NATL ACAD SCI USA, V104, P5590, DOI 10.1073/pnas.0611470104
Huete-Stauffer TM, 2015, FEMS MICROBIOL ECOL, V91, DOI 10.1093/femsec/fiv111
Mella-Flores Daniella, 2012, Front Microbiol, V3, P285
Michelou V.K., 2014, ASLO OC SCI M HON HA
Michelou VK, 2007, APPL ENVIRON MICROB, V73, P5539, DOI 10.1128/AEM.00212-07
Moran MA, 2007, NAT REV MICROBIOL, V5, P792, DOI 10.1038/nrmicro1746
Morán XAG, 2001, APPL ENVIRON MICROB, V67, P3795, DOI 10.1128/AEM.67.9.3795-3801.2001
Morán XAG, 2009, FEMS MICROBIOL ECOL, V67, P43, DOI 10.1111/j.1574-6941.2008.00601.x
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Olson DK, 2018, ISME J, V12, P1047, DOI 10.1038/s41396-018-0074-4
Pearman JK, 2016, LIMNOL OCEANOGR, V61, P198, DOI 10.1002/lno.10212
Pernthaler A., 2004, Molecular microbial ecology manual. Volumes 1 and 2, P711
Qin QL, 2012, J BACTERIOL, V194, P3267, DOI 10.1128/JB.00463-12
Ruiz-González C, 2012, FEMS MICROBIOL ECOL, V79, P661, DOI 10.1111/j.1574-6941.2011.01247.x
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salazar G, 2016, ISME J, V10, P596, DOI 10.1038/ismej.2015.137
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Schwalbach MS, 2005, AQUAT MICROB ECOL, V39, P235, DOI 10.3354/ame039235
Schwalbach MS, 2005, LIMNOL OCEANOGR, V50, P620, DOI 10.4319/lo.2005.50.2.0620
Sharma AK, 2006, TRENDS MICROBIOL, V14, P463, DOI 10.1016/j.tim.2006.09.006
Shiba T., 1979, APPL ENVIRON MICROB, V38, P3
Sommaruga R, 2005, APPL ENVIRON MICROB, V71, P2154, DOI 10.1128/AEM.71.4.2154-2157.2005
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
Tada Y, 2011, APPL ENVIRON MICROB, V77, P4055, DOI 10.1128/AEM.02952-10
Tang K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041204
Tully BJ, 2017, PEERJ, V5, DOI 10.7717/peerj.3558
VAULOT D, 1995, SCIENCE, V268, P1480, DOI 10.1126/science.268.5216.1480
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Xing P, 2015, ISME J, V9, P1410, DOI 10.1038/ismej.2014.225
Yoshizawa S, 2014, P NATL ACAD SCI USA, V111, P6732, DOI 10.1073/pnas.1403051111
Yoshizawa S, 2012, ENVIRON MICROBIOL, V14, P1240, DOI 10.1111/j.1462-2920.2012.02702.x
YURKOV VV, 1993, ARCH MICROBIOL, V159, P84, DOI 10.1007/BF00244268
Zeder M, 2011, CYTOM PART A, V79A, P306, DOI 10.1002/cyto.a.21034
NR 71
TC 7
Z9 7
PD SEP
PY 2020
VL 22
IS 9
BP 3823
EP 3837
DI 10.1111/1462-2920.15158
EA AUG 2020
UT WOS:000554482300001
DA 2025-07-30
ER
PT J
AU Buchanan, PJ
Sun, X
Weissman, JL
McCoy, D
Bianchi, D
Zakem, EJ
AF Buchanan, Pearse J.
Sun, Xin
Weissman, J. L.
McCoy, Daniel
Bianchi, Daniele
Zakem, Emily J.
TI Oxygen intrusions sustain aerobic nitrite-oxidizing bacteria in anoxic
marine zones
SO SCIENCE
DT Article
AB Anaerobic metabolisms are thought to dominate nitrogen cycling in anoxic marine zones (AMZs). However, thriving populations of aerobic nitrite-oxidizing bacteria (NOB) in AMZs challenge this assumption and remain unexplained. Using theory and modeling, we show how periodic oxygen intrusions sustain aerobic NOB in AMZs alongside more competitive aerobic heterotrophs. Ecological theory, supported by numerical simulations and genomics, frames NOB as opportunists exploiting a fleeting supply of oxygen. Consistent with in situ observations, simulated NOB contribute substantially to total oxygen consumption at AMZ boundaries, which implies that NOB may provide a major stabilizing feedback to AMZs. Fine-scale ocean currents increase the metabolic diversity in AMZs, which could stabilize AMZ volume under climate change.
C1 [Buchanan, Pearse J.; Sun, Xin; McCoy, Daniel; Zakem, Emily J.] Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA.
[Buchanan, Pearse J.] CSIRO Environm, Hobart, Australia.
[Weissman, J. L.] CUNY City Coll, Dept Biol, New York, NY USA.
[Weissman, J. L.] SUNY Stony Brook Univ, Dept Ecol & Evolut, Life Sci Bldg, Stony Brook, NY USA.
[Weissman, J. L.] SUNY Stony Brook Univ, Inst Adv Computat Sci, Stony Brook, NY USA.
[McCoy, Daniel; Bianchi, Daniele] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA USA.
RP Buchanan, PJ (corresponding author), Carnegie Inst Sci, Dept Global Ecol, Stanford, CA 94305 USA.; Buchanan, PJ (corresponding author), CSIRO Environm, Hobart, Australia.
EM pearse.buchanan@csiro.au
CR Alawi M, 2007, ISME J, V1, P256, DOI 10.1038/ismej.2007.34
ALMEIDA JS, 1995, BIOTECHNOL BIOENG, V46, P194, DOI 10.1002/bit.260460303
ANDERSON JJ, 1982, DEEP-SEA RES, V29, P1113, DOI 10.1016/0198-0149(82)90031-0
Awata T, 2013, APPL ENVIRON MICROB, V79, P4145, DOI 10.1128/AEM.00056-13
Babbin AR, 2020, MAR CHEM, V224, DOI 10.1016/j.marchem.2020.103814
Babbin AR, 2017, GLOBAL BIOGEOCHEM CY, V31, P258, DOI 10.1002/2016GB005407
Babbin AR, 2014, SCIENCE, V344, P406, DOI 10.1126/science.1248364
Bayer B, 2023, LIMNOL OCEANOGR, V68, P84, DOI 10.1002/lno.12252
Becker JW, 2019, ISME J, V13, P1506, DOI 10.1038/s41396-019-0365-4
Beman JM, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-27381-7
Beman JM, 2013, ISME J, V7, P2192, DOI 10.1038/ismej.2013.96
Beman JM, 2012, LIMNOL OCEANOGR, V57, P711, DOI 10.4319/lo.2012.57.3.0711
Bianchi D, 2023, GEOSCI MODEL DEV, V16, P3581, DOI 10.5194/gmd-16-3581-2023
Bianchi D, 2018, NAT GEOSCI, V11, P263, DOI 10.1038/s41561-018-0081-0
Bristow LA, 2017, NAT GEOSCI, V10, P24, DOI [10.1038/NGEO2847, 10.1038/ngeo2847]
Bristow LA, 2016, P NATL ACAD SCI USA, V113, P10601, DOI 10.1073/pnas.1600359113
Buchanan P. J., 2025, **DATA OBJECT**, DOI 10.5281/zenodo.15137671
Buchanan P. J., 2025, **DATA OBJECT**, DOI 10.5281/zenodo.15139307
Buchanan P. J., 2025, **DATA OBJECT**, DOI 10.5281/zenodo.15137773
Buchanan P. J., 2025, **DATA OBJECT**, DOI 10.5281/zenodo.15139207
Buchwald C, 2015, GLOBAL BIOGEOCHEM CY, V29, P2061, DOI 10.1002/2015GB005187
Busecke JJM, 2019, GEOPHYS RES LETT, V46, P6716, DOI 10.1029/2019GL082692
Busi SB, 2021, ISME COMMUN, V1, DOI 10.1038/s43705-021-00030-2
Canfield DE, 2010, SCIENCE, V330, P192, DOI 10.1126/science.1186120
Chaigneau A, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2011JC007134
Chelton DB, 2011, PROG OCEANOGR, V91, P167, DOI 10.1016/j.pocean.2011.01.002
Chicano TM, 2021, NAT MICROBIOL, V6, P1129, DOI 10.1038/s41564-021-00934-8
del Giorgio PA, 1998, ANNU REV ECOL SYST, V29, P503, DOI 10.1146/annurev.ecolsys.29.1.503
EHRICH S, 1995, ARCH MICROBIOL, V164, P16
Rios-Del Toro EE, 2019, REV ENVIRON SCI BIO, V18, P11, DOI 10.1007/s11157-018-09489-3
Evans N, 2023, LIMNOL OCEANOGR, DOI 10.1002/lno.12380
Fortin SG, 2024, ISME J, V18, DOI 10.1093/ismejo/wrae160
Fourquez M, 2020, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00776
Fuchsman CA, 2017, FRONT MICROBIOL, V8, DOI 10.3389/fmicb.2017.02384
Füssel J, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700807
Füssel J, 2012, ISME J, V6, P1200, DOI 10.1038/ismej.2011.178
Garcia-Robledo E, 2017, P NATL ACAD SCI USA, V114, P8319, DOI 10.1073/pnas.1619844114
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Hatzenpichler R, 2012, APPL ENVIRON MICROB, V78, P7501, DOI 10.1128/AEM.01960-12
Horak REA, 2013, ISME J, V7, P2023, DOI 10.1038/ismej.2013.75
Kalvelage T, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133526
Kalvelage T, 2013, NAT GEOSCI, V6, P228, DOI [10.1038/ngeo1739, 10.1038/NGEO1739]
Kirchman DL, 2016, ANNU REV MAR SCI, V8, P285, DOI 10.1146/annurev-marine-122414-033938
Kitzinger K, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-14542-3
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Kraft B, 2022, SCIENCE, V375, P97, DOI 10.1126/science.abe6733
Kuypers MMM, 2018, NAT REV MICROBIOL, V16, P263, DOI 10.1038/nrmicro.2018.9
Kwiecinski JV, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2021GB007001
LaBrie R, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abn0035
Lam P, 2009, P NATL ACAD SCI USA, V106, P4752, DOI 10.1073/pnas.0812444106
Letscher RT, 2015, BIOGEOSCIENCES, V12, P209, DOI 10.5194/bg-12-209-2015
Levy M., 2022, Ocean mixing, P329, DOI [10.1016/B978-0-12-821512-8.00020-7, DOI 10.1016/B978-0-12-821512-8.00020-7]
Litchman E, 2001, AM NAT, V157, P170, DOI 10.1086/318628
Lotti T, 2014, WATER RES, V60, P1, DOI 10.1016/j.watres.2014.04.017
Lücker S, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00027
Margolskee A, 2019, GLOBAL BIOGEOCHEM CY, V33, P875, DOI 10.1029/2018GB006149
Martens-Habbena W, 2009, NATURE, V461, P976, DOI 10.1038/nature08465
McCoy D, 2023, GLOBAL BIOGEOCHEM CY, V37, DOI 10.1029/2022GB007670
Mdutyana M, 2022, BIOGEOSCIENCES, V19, P3425, DOI 10.5194/bg-19-3425-2022
Moore CM, 2016, PHILOS T R SOC A, V374, DOI 10.1098/rsta.2015.0290
Moore JK, 2004, GLOBAL BIOGEOCHEM CY, V18, DOI 10.1029/2004GB002220
Munson-McGee JH, 2022, NATURE, V612, P764, DOI 10.1038/s41586-022-05505-3
Newell SE, 2013, LIMNOL OCEANOGR, V58, P1491, DOI 10.4319/lo.2013.58.4.1491
Newell SE, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003940
Nicolai M, 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, P447, DOI DOI 10.1017/9781009157964.007
Okabe S, 2021, ISME J, V15, P3566, DOI 10.1038/s41396-021-01031-8
Peng XF, 2016, J GEOPHYS RES-OCEANS, V121, P1667, DOI 10.1002/2015JC011455
Peng XF, 2015, GLOBAL BIOGEOCHEM CY, V29, P2034, DOI 10.1002/2015GB005278
Peng XF, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00177
PROSSER JI, 1989, ADV MICROB PHYSIOL, V30, P125
Qin W, 2015, P NATL ACAD SCI USA, V112, P10979, DOI 10.1073/pnas.1501568112
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Ratnarajah L, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL088369
Ravishankara AR, 2009, SCIENCE, V326, P123, DOI 10.1126/science.1176985
Santoro AE, 2021, GLOBAL BIOGEOCHEM CY, V35, DOI 10.1029/2020GB006716
Sauder LA, 2017, ISME J, V11, P1142, DOI 10.1038/ismej.2016.192
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Shafiee RT, 2019, ISME J, V13, P2295, DOI 10.1038/s41396-019-0434-8
Shchepetkin AF, 2005, OCEAN MODEL, V9, P347, DOI 10.1016/j.ocemod.2004.08.002
Shchepetkin AF, 2015, OCEAN MODEL, V91, P38, DOI 10.1016/j.ocemod.2015.03.006
Sinsabaugh RL, 2013, ECOL LETT, V16, P930, DOI 10.1111/ele.12113
Smith JM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0108173
Sorokin DY, 2014, INT J SYST EVOL MICR, V64, P1859, DOI 10.1099/ijs.0.062232-0
Sorokin DY, 2012, ISME J, V6, P2245, DOI 10.1038/ismej.2012.70
Spieck E, 2014, SYST APPL MICROBIOL, V37, P170, DOI 10.1016/j.syapm.2013.12.005
Stieglmeier M, 2014, INT J SYST EVOL MICR, V64, P2738, DOI 10.1099/ijs.0.063172-0
Sun X, 2023, GLOBAL BIOGEOCHEM CY, V37, DOI 10.1029/2022GB007548
Sun X, 2021, ISME J, V15, P1317, DOI 10.1038/s41396-020-00852-3
Sun X, 2019, ISME J, V13, P2391, DOI 10.1038/s41396-019-0443-7
Sun X, 2017, GEOPHYS RES LETT, V44, P7883, DOI 10.1002/2017GL074355
Tang WY, 2023, EARTH SYST SCI DATA, V15, P5039, DOI 10.5194/essd-15-5039-2023
Taniguchi DAA, 2014, MAR ECOL PROG SER, V514, P13, DOI 10.3354/meps10968
Thamdrup B, 2012, DEEP-SEA RES PT I, V65, P36, DOI 10.1016/j.dsr.2012.03.001
Tiano L, 2014, DEEP-SEA RES PT I, V94, P173, DOI 10.1016/j.dsr.2014.10.001
TILMAN D, 1982, ANNU REV ECOL SYST, V13, P349, DOI 10.1146/annurev.es.13.110182.002025
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
van den Berg EM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01842
Vieira-Silva S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000808
Ward BB, 2008, DEEP-SEA RES PT I, V55, P1672, DOI 10.1016/j.dsr.2008.07.005
WATSON SW, 1971, ARCH MIKROBIOL, V77, P203, DOI 10.1007/BF00408114
Weissman JL, 2022, MSYSTEMS, V7, DOI 10.1128/msystems.00745-22
Weissman JL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2016810118
White AE, 2019, LIMNOL OCEANOGR LETT, V4, P44, DOI 10.1002/lol2.10103
Wu GX, 2020, WATER SCI TECHNOL, V82, P1742, DOI 10.2166/wst.2020.443
Wuchter C, 2006, P NATL ACAD SCI USA, V103, P12317, DOI 10.1073/pnas.0600756103
Zakem EJ, 2017, LIMNOL OCEANOGR, V62, P795, DOI 10.1002/lno.10461
Zakem EJ, 2022, BIOGEOSCIENCES, V19, P5401, DOI 10.5194/bg-19-5401-2022
Zakem EJ, 2020, ISME J, V14, P288, DOI 10.1038/s41396-019-0523-8
Zakem EJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03553-w
Zhang L, 2020, WATER RES, V171, DOI 10.1016/j.watres.2020.115468
Zhang Y, 2020, P NATL ACAD SCI USA, V117, P4823, DOI 10.1073/pnas.1912367117
NR 111
TC 0
Z9 0
PD JUN 5
PY 2025
VL 388
IS 6751
BP 1069
EP 1074
DI 10.1126/science.ado0742
UT WOS:001505018000010
DA 2025-07-30
ER
PT J
AU Alonso, C
AF Alonso, Cecilia
TI Tips and tricks for high quality MAR-FISH preparations: Focus on
bacterioplankton analysis
SO SYSTEMATIC AND APPLIED MICROBIOLOGY
DT Review
AB The combination of microautoradiography and fluorescence in situ hybridization (MAR-FISH) is a powerful technique for tracking the incorporation of radiolabelled compounds by specific bacterial populations at a single cell resolution. It has been widely applied in aquatic microbial ecology as a tool to unveil key ecophysiological features, shedding light on relevant ecological issues such as bacterial biomass production, the role of different bacterioplankton groups in the global carbon and sulphur cycle, and, at the same time, providing insights into the life styles and niche differentiation of cosmopolitan members of the aquatic microbial communities. Despite its great potential, its application has remained restricted to a few laboratories around the world, in part due to its reputation as a "difficult technique". Therefore, the objective of this minireview is to highlight the impact of MAR-FISH application on aquatic microbial ecology, and also to provide basic concepts, as well as practical tips, for processing MAR-FISH preparations, thus aiming to contribute to a more widespread application of this powerful method. (c) 2012 Elsevier GmbH. All rights reserved.
C1 CURE Univ Republ, Rocha, Uruguay.
RP Alonso, C (corresponding author), CURE Univ Republ, Rocha, Uruguay.
EM ceci.babilonia@gmail.com
CR Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Alonso C., 2005, IDENTITY ACTIVITY MA
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso C, 2009, ENVIRON MICROBIOL, V11, P867, DOI 10.1111/j.1462-2920.2008.01807.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2006, APPL ENVIRON MICROB, V72, P5806, DOI 10.1128/AEM.00597-06
Alonso-Sáez L, 2010, ISME J, V4, P1581, DOI 10.1038/ismej.2010.69
Amann R, 2008, NAT REV MICROBIOL, V6, P339, DOI 10.1038/nrmicro1888
[Anonymous], MOL MICROBIAL ECOLOG
Bouvier T, 2003, FEMS MICROBIOL ECOL, V44, P3, DOI 10.1016/S0168-6496(02)00461-0
Brock T.D., 1968, MIT INT VER THEOR AN, P1
BROCK TD, 1967, SCIENCE, V155, P81, DOI 10.1126/science.155.3758.81
Buck U, 2009, ENVIRON MICROBIOL, V11, P1854, DOI 10.1111/j.1462-2920.2009.01910.x
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
FUHRMAN JA, 1986, MAR ECOL PROG SER, V33, P237, DOI 10.3354/meps033237
Hornák K, 2006, AQUAT MICROB ECOL, V45, P277, DOI 10.3354/ame045277
Hornák K, 2010, AQUAT MICROB ECOL, V60, P215, DOI 10.3354/ame01425
Hoshino T, 2010, ENVIRON MICROBIOL, V12, P2508, DOI 10.1111/j.1462-2920.2010.02224.x
Huang WE, 2007, ENVIRON MICROBIOL, V9, P1878, DOI 10.1111/j.1462-2920.2007.01352.x
Kawakami S, 2010, MICROBES ENVIRON, V25, P15, DOI 10.1264/jsme2.ME09180
Kiene RP, 1999, AQUAT MICROB ECOL, V17, P311, DOI 10.3354/ame017311
Kodak, PROD INF
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Lenk S, 2011, ENVIRON MICROBIOL, V13, P758, DOI 10.1111/j.1462-2920.2010.02380.x
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MESSIER B, 1957, P SOC EXP BIOL MED, V96, P7
MEYERREIL LA, 1978, APPL ENVIRON MICROB, V36, P506, DOI 10.1128/AEM.36.3.506-512.1978
Moraru C, 2010, ENVIRON MICROBIOL, V12, P3057, DOI 10.1111/j.1462-2920.2010.02281.x
Musat N, 2008, P NATL ACAD SCI USA, V105, P17861, DOI 10.1073/pnas.0809329105
Nielsen JL, 2003, ENVIRON MICROBIOL, V5, P202, DOI 10.1046/j.1462-2920.2003.00402.x
Nielsen JL, 2005, METHOD ENZYMOL, V397, P237, DOI 10.1016/S0076-6879(05)97014-6
Nielsen JL, 2006, FEMS MICROBIOL ECOL, V55, P432, DOI 10.1111/j.1574-6941.2005.00054.x
Okabe S., 2004, Microb. Environ, V19, P83
Ouverney CC, 2000, APPL ENVIRON MICROB, V66, P4829, DOI 10.1128/AEM.66.11.4829-4833.2000
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Pérez MT, 2010, ENVIRON MICROBIOL, V12, P74, DOI 10.1111/j.1462-2920.2009.02043.x
Pernthaler J, 2001, METHOD MICROBIOL, V30, P207, DOI 10.1016/S0580-9517(01)30046-6
Rogers A.W., 1979, TECHNIQUES AUTORADIO
Rogers SW, 2007, SOIL SCI SOC AM J, V71, P620, DOI 10.2136/sssaj2006.0105
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Sintes E, 2006, APPL ENVIRON MICROB, V72, P7022, DOI 10.1128/AEM.00763-06
Sorokin Y.I., 1999, Radioisotopic methods in hydrobiology
TABOR PS, 1982, APPL ENVIRON MICROB, V44, P945, DOI 10.1128/AEM.44.4.945-953.1982
Teira E, 2006, LIMNOL OCEANOGR, V51, P60, DOI 10.4319/lo.2006.51.1.0060
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Valm AM, 2011, P NATL ACAD SCI USA, V108, P4152, DOI 10.1073/pnas.1101134108
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Vila-Costa M, 2007, ENVIRON MICROBIOL, V9, P2451, DOI 10.1111/j.1462-2920.2007.01363.x
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Wagner M, 2006, CURR OPIN BIOTECH, V17, P83, DOI 10.1016/j.copbio.2005.12.006
Yang YR, 2003, ENVIRON TOXICOL CHEM, V22, P2840, DOI 10.1897/02-423
Zeder M., 2010, THESIS U ZURICH
Zhang Y, 2006, AQUAT MICROB ECOL, V43, P233, DOI 10.3354/ame043233
NR 58
TC 8
Z9 8
PD DEC
PY 2012
VL 35
IS 8
SI SI
BP 503
EP 512
DI 10.1016/j.syapm.2012.02.005
UT WOS:000314015000004
DA 2025-07-30
ER
PT J
AU Orsi, WD
Smith, JM
Liu, ST
Liu, ZF
Sakamoto, CM
Wilken, S
Poirier, C
Richards, TA
Keeling, PJ
Worden, AZ
Santoro, AE
AF Orsi, William D.
Smith, Jason M.
Liu, Shuting
Liu, Zhanfei
Sakamoto, Carole M.
Wilken, Susanne
Poirier, Camille
Richards, Thomas A.
Keeling, Patrick J.
Worden, Alexandra Z.
Santoro, Alyson E.
TI Diverse, uncultivated bacteria and archaea underlying the cycling of
dissolved protein in the ocean
SO ISME JOURNAL
DT Article
AB Dissolved organic nitrogen (DON) supports a significant amount of heterotrophic production in the ocean. Yet, to date, the identity and diversity of microbial groups that transform DON are not well understood. To better understand the organisms responsible for transforming high molecular weight (HMW)-DON in the upper ocean, isotopically labeled protein extract from Micromonas pusilla, a eukaryotic member of the resident phytoplankton community, was added as substrate to euphotic zone water from the central California Current system. Carbon and nitrogen remineralization rates from the added proteins ranged from 0.002 to 0.35 mol C l(-1) per day and 0.03 to 0.27nmol N l(-1) per day. DNA stable-isotope probing (DNA-SIP) coupled with high-throughput sequencing of 16S rRNA genes linked the activity of 77 uncultivated free-living and particle-associated bacterial and archaeal taxa to the utilization of Micromonas protein extract. The high-throughput DNA-SIP method was sensitive in detecting isotopic assimilation by individual operational taxonomic units (OTUs), as substrate assimilation was observed after only 24 h. Many uncultivated free-living microbial taxa are newly implicated in the cycling of dissolved proteins affiliated with the Verrucomicrobia, Planctomycetes, Actinobacteria and Marine Group II (MGII) Euryarchaeota. In addition, a particle-associated community actively cycling DON was discovered, dominated by uncultivated organisms affiliated with MGII, Flavobacteria, Planctomycetes, Verrucomicrobia and Bdellovibrionaceae. The number of taxa assimilating protein correlated with genomic representation of TonB-dependent receptor (TBDR)-encoding genes, suggesting a possible role of TBDR in utilization of dissolved proteins by marine microbes. Our results significantly expand the known microbial diversity mediating the cycling of dissolved proteins in the ocean.
C1 [Orsi, William D.; Santoro, Alyson E.] Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.
[Smith, Jason M.; Sakamoto, Carole M.; Wilken, Susanne; Poirier, Camille; Worden, Alexandra Z.] Monterey Bay Aquarium Res Inst, Moss Landing, CA USA.
[Liu, Shuting; Liu, Zhanfei] Univ Texas Austin, Dept Marine Sci, Port Aransas, TX USA.
[Richards, Thomas A.] Univ Exeter, Dept Biosci, Exeter, Devon, England.
[Richards, Thomas A.; Keeling, Patrick J.; Worden, Alexandra Z.; Santoro, Alyson E.] Canadian Inst Adv Res, Integrated Microbial Biodivers Program, Toronto, ON, Canada.
[Keeling, Patrick J.] Univ British Columbia, Dept Bot, Vancouver, BC, Canada.
RP Santoro, AE (corresponding author), Univ Maryland, Ctr Environm Sci, Horn Point Lab, Cambridge, MD 21613 USA.; Orsi, WD (corresponding author), Univ Munich, Dept Earth & Environm Sci, Munich, Germany.
EM w.orsi@lrz.uni-muenchen.de; asantoro@umces.edu
CR ABRAM D, 1974, J BACTERIOL, V118, P663, DOI 10.1128/JB.118.2.663-680.1974
Alderkamp AC, 2006, AQUAT MICROB ECOL, V45, P237, DOI 10.3354/ame045237
Allen LZ, 2012, ISME J, V6, P1403, DOI 10.1038/ismej.2011.201
Aluwihare LI, 2005, SCIENCE, V308, P1007, DOI 10.1126/science.1108925
Aluwihare LI, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P95, DOI 10.1016/B978-0-12-372522-6.00003-7
[Anonymous], AQUATIC SCI
Apprill A, 2015, AQUAT MICROB ECOL, V75, P129, DOI 10.3354/ame01753
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
BILLEN G, 1987, MAR ECOL PROG SER, V37, P249, DOI 10.3354/meps037249
Bronk D.A., 2002, BIOGEOCHEM MAR DISSO, P153, DOI DOI 10.1016/B978-012323841-2/50007-5
Bronk DA, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P385, DOI 10.1016/B978-0-12-372522-6.00008-6
Buckley DH, 2007, APPL ENVIRON MICROB, V73, P3196, DOI 10.1128/AEM.02610-06
Buckley DH, 2007, APPL ENVIRON MICROB, V73, P3189, DOI 10.1128/AEM.02609-06
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2010, NAT METHODS, V7, P335, DOI 10.1038/nmeth.f.303
Cardman Z, 2014, APPL ENVIRON MICROB, V80, P3749, DOI 10.1128/AEM.00899-14
CARLSON CA, 1995, DEEP-SEA RES PT II, V42, P639, DOI 10.1016/0967-0645(95)00023-J
CHO BC, 1988, NATURE, V332, P441, DOI 10.1038/332441a0
Collins CA, 2003, DEEP-SEA RES PT II, V50, P2389, DOI 10.1016/S0967-0645(03)00134-6
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
Cuvelier ML, 2010, P NATL ACAD SCI USA, V107, P14679, DOI 10.1073/pnas.1001665107
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
DUGDALE RC, 1967, LIMNOL OCEANOGR, V12, P196, DOI 10.4319/lo.1967.12.2.0196
Dunford Eric A, 2010, J Vis Exp, DOI 10.3791/2027
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
Fenton AK, 2010, J BACTERIOL, V192, P1299, DOI 10.1128/JB.01157-09
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Fogg G E., 1971, Archiv fur Hydrobiologie, V5, P1
Freitas S, 2012, ISME J, V6, P1499, DOI 10.1038/ismej.2012.3
Frigaard NU, 2006, NATURE, V439, P847, DOI 10.1038/nature04435
Fuchs BM, 2005, AQUAT MICROB ECOL, V39, P145, DOI 10.3354/ame039145
FUERST JA, 1995, MICROBIOL-UK, V141, P1493, DOI 10.1099/13500872-141-7-1493
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
GUILLARD RRL, 1993, PHYCOLOGIA, V32, P234, DOI 10.2216/i0031-8884-32-3-234.1
Heijs SK, 2008, FEMS MICROBIOL ECOL, V64, P362, DOI 10.1111/j.1574-6941.2008.00463.x
Herlemann DPR, 2013, MBIO, V4, DOI 10.1128/mBio.00569-12
HOBBIE JE, 1968, SCIENCE, V159, P1463, DOI 10.1126/science.159.3822.1463
HOLLIBAUGH JT, 1983, LIMNOL OCEANOGR, V28, P1104, DOI 10.4319/lo.1983.28.6.1104
Holmes RM, 1999, CAN J FISH AQUAT SCI, V56, P1801, DOI 10.1139/cjfas-56-10-1801
Hungate BA, 2015, APPL ENVIRON MICROB, V81, P7570, DOI 10.1128/AEM.02280-15
Iverson V, 2012, SCIENCE, V335, P587, DOI 10.1126/science.1212665
Kabisch A, 2014, ISME J, V8, P1492, DOI 10.1038/ismej.2014.4
Karl DM, 2001, DEEP-SEA RES PT II, V48, P1529, DOI 10.1016/S0967-0645(00)00152-1
Keil R.G., 2000, PERSPECTIVES AMINO A
KEIL RG, 1994, MAR CHEM, V45, P187, DOI 10.1016/0304-4203(94)90002-7
KEIL RG, 1993, LIMNOL OCEANOGR, V38, P1256, DOI 10.4319/lo.1993.38.6.1256
Kerouel R, 1997, MAR CHEM, V57, P265, DOI 10.1016/S0304-4203(97)00040-6
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Kirchman DL., 2000, MICROBIAL ECOLOGY OC, P261
Kozich JJ, 2013, APPL ENVIRON MICROB, V79, P5112, DOI 10.1128/AEM.01043-13
Lee C, 2000, DEEP-SEA RES PT I, V47, P1535, DOI 10.1016/S0967-0637(99)00116-8
Lipschultz F, 2008, NITROGEN IN THE MARINE ENVIRONMENT, 2ND EDITION, P1345, DOI 10.1016/B978-0-12-372522-6.00031-1
Liu ZF, 2013, MAR CHEM, V157, P67, DOI 10.1016/j.marchem.2013.08.003
Lloyd KG, 2013, NATURE, V496, P215, DOI 10.1038/nature12033
Loh AN, 2004, NATURE, V430, P877, DOI 10.1038/nature02780
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Mayali X, 2016, ENV MICROBIOL REP, V8, P68, DOI 10.1111/1758-2229.12352
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
McCarthy M, 1997, NATURE, V390, P150, DOI 10.1038/36535
McCarthy MD, 2007, GEOCHIM COSMOCHIM AC, V71, P4727, DOI 10.1016/j.gca.2007.06.061
McCarthy MD, 2004, MAR CHEM, V92, P123, DOI 10.1016/j.marchem.2004.06.021
McCarthy MD, 1998, SCIENCE, V281, P231, DOI 10.1126/science.281.5374.231
Meador TB, 2007, LIMNOL OCEANOGR, V430, P877
Morando M, INTRACLADE IN PRESS
Morris RM, 2006, ENVIRON MICROBIOL, V8, P1361, DOI 10.1111/j.1462-2920.2006.01029.x
Morris SA, 2002, APPL ENVIRON MICROB, V68, P1446, DOI 10.1128/AEM.68.3.1446-1453.2002
Nagata T, 2003, LIMNOL OCEANOGR, V48, P745, DOI 10.4319/lo.2003.48.2.0745
Nagata T, 1998, AQUAT MICROB ECOL, V14, P29, DOI 10.3354/ame014029
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Neufeld JD, 2007, NAT PROTOC, V2, P860, DOI 10.1038/nprot.2007.109
Nguyen RT, 1997, ORG GEOCHEM, V27, P115, DOI 10.1016/S0146-6380(97)00076-4
Nikrad MP, 2014, APPL ENVIRON MICROB, V80, P3362, DOI 10.1128/AEM.00121-14
Nikrad MP, 2012, APPL ENVIRON MICROB, V78, P2402, DOI 10.1128/AEM.07130-11
Noinaj N, 2010, ANNU REV MICROBIOL, V64, P43, DOI 10.1146/annurev.micro.112408.134247
O'Sullivan LA, 2005, INT J SYST EVOL MICR, V55, P2189, DOI 10.1099/ijs.0.63736-0
Orsi WD, 2015, ISME J, V9, P1747, DOI 10.1038/ismej.2014.260
Orsi WD, 2013, NATURE, V499, P205, DOI 10.1038/nature12230
Pennington J., 2010, Carbon and Nutrient Fluxes in Continental Margins, Global Change The IGBP Series, P29
Pennington JT, 2000, DEEP-SEA RES PT II, V47, P947, DOI 10.1016/S0967-0645(99)00132-0
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P661, DOI 10.1128/AEM.68.2.661-667.2002
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappe MS, 1997, LIMNOL OCEANOGR, V42, P811, DOI 10.4319/lo.1997.42.5.0811
Ravenschlag K, 1999, APPL ENVIRON MICROB, V65, P3982
Reysenbach AL, 2008, GEOBIOLOGY, V6, P331, DOI 10.1111/j.1472-4669.2008.00152.x
Rinta-Kanto JM, 2012, ENVIRON MICROBIOL, V14, P228, DOI 10.1111/j.1462-2920.2011.02602.x
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Santoro AE, 2010, ENVIRON MICROBIOL, V12, P1989, DOI 10.1111/j.1462-2920.2010.02205.x
Schauer K, 2008, TRENDS BIOCHEM SCI, V33, P330, DOI 10.1016/j.tibs.2008.04.012
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Sharma AK, 2014, ENVIRON MICROBIOL, V16, P2815, DOI 10.1111/1462-2920.12254
Sigman DM, 2001, ANAL CHEM, V73, P4145, DOI 10.1021/ac010088e
SIZEMORE RK, 1974, LIFE SCI, V15, P1425, DOI 10.1016/0024-3205(74)90117-9
SMITH DC, 1992, NATURE, V359, P139, DOI 10.1038/359139a0
Smith JM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0108173
Stahl D.A., 1991, Sequencing and Hybridization Techniques in Bacterial Systematics, P205
Stingl U, 2007, APPL ENVIRON MICROB, V73, P2290, DOI 10.1128/AEM.02559-06
TANOUE E, 1995, GEOCHIM COSMOCHIM AC, V59, P2643, DOI 10.1016/0016-7037(95)00134-4
TAYLOR GT, 1995, LIMNOL OCEANOGR, V40, P875, DOI 10.4319/lo.1995.40.5.0875
Teeling H, 2012, SCIENCE, V336, P608, DOI 10.1126/science.1218344
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Thomsen HA, 1998, DEEP-SEA RES PT II, V45, P1687, DOI 10.1016/S0967-0645(98)80013-1
Urbach E, 2001, LIMNOL OCEANOGR, V46, P557, DOI 10.4319/lo.2001.46.3.0557
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Yoon J, 2008, INT J SYST EVOL MICR, V58, P998, DOI 10.1099/ijs.0.65520-0
Zhang CLL, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01108
NR 110
TC 141
Z9 154
PD SEP
PY 2016
VL 10
IS 9
BP 2158
EP 2173
DI 10.1038/ismej.2016.20
UT WOS:000386664600008
DA 2025-07-30
ER
PT J
AU Hu, W
Zhang, H
Lin, XW
Liu, RD
Bartlam, M
Wang, YY
AF Hu, Wei
Zhang, Hui
Lin, Xiaowen
Liu, Ruidan
Bartlam, Mark
Wang, Yingying
TI Characteristics, Biodiversity, and Cultivation Strategy of Low Nucleic
Acid Content Bacteria
SO FRONTIERS IN MICROBIOLOGY
DT Review
AB Low nucleic acid content (LNA) bacteria are ubiquitous and estimated to constitute 20%-90% of the total bacterial community in marine and freshwater environment. LNA bacteria with unique physiological characteristics, including small cell size and small genomes, can pass through 0.45-mu m filtration. The researchers came up with different terminologies for low nucleic acid content bacteria based on different research backgrounds, such as: filterable bacteria, oligotrophic bacteria, and low-DNA bacteria. LNA bacteria have an extremely high level of genetic diversity and play an important role in material circulation in oligotrophic environment. However, the majority of LNA bacteria in the environment remain uncultivated. Thus, an important challenge now is to isolate more LNA bacteria from oligotrophic environments and gain insights into their unique metabolic mechanisms and ecological functions. Here, we reviewed LNA bacteria in aquatic environments, focusing on their characteristics, community structure and diversity, functions, and cultivation strategies. Exciting future prospects for LNA bacteria are also discussed.
C1 [Hu, Wei; Zhang, Hui; Lin, Xiaowen; Liu, Ruidan; Wang, Yingying] Nankai Univ, Nankai Int Adv Res Inst Shenzhen Futian, Coll Environm Sci & Engn, Key Lab Pollut Proc & Environm Criteria Minist Edu, Tianjin, Peoples R China.
[Bartlam, Mark] Nankai Univ, Nankai Int Adv Res Inst Shenzhen Futian, Coll Life Sci, State Key Lab Med Chem Biol, Tianjin, Peoples R China.
RP Wang, YY (corresponding author), Nankai Univ, Nankai Int Adv Res Inst Shenzhen Futian, Coll Environm Sci & Engn, Key Lab Pollut Proc & Environm Criteria Minist Edu, Tianjin, Peoples R China.
EM wangyy@nankai.edu.cn
CR Andrade L, 2007, BRAZ J MICROBIOL, V38, P330, DOI 10.1590/S1517-83822007000200028
Belzile C, 2008, J MARINE SYST, V74, P946, DOI 10.1016/j.jmarsys.2007.12.010
Bouvier T, 2007, ENVIRON MICROBIOL, V9, P2050, DOI 10.1111/j.1462-2920.2007.01321.x
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Cavicchioli R, 2003, MICROB ECOL, V45, P203, DOI 10.1007/s00248-002-3008-6
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Duda VI, 2012, MICROBIOLOGY+, V81, P379, DOI 10.1134/S0026261712040054
Duda VI, 2011, ELS, P1, DOI DOI 10.1002/9780470015902.A0000309.PUB2
Duda VI, 2009, FEMS MICROBIOL ECOL, V69, P180, DOI 10.1111/j.1574-6941.2009.00696.x
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Egli T, 2010, WATER RES, V44, P4826, DOI 10.1016/j.watres.2010.07.023
Eguchi M, 1996, APPL ENVIRON MICROB, V62, P1287, DOI 10.1128/AEM.62.4.1287-1294.1996
Eiler A, 2016, ISME J, V10, P1902, DOI 10.1038/ismej.2015.260
Eswaran R, 2021, ACTA OECOL, V110, DOI 10.1016/j.actao.2020.103697
Garcia FC, 2014, AQUAT MICROB ECOL, V72, P175, DOI 10.3354/ame01691
Gasol JM, 1999, APPL ENVIRON MICROB, V65, P4475
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghuneim LAJ, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01971
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Glöckner J, 2010, ENVIRON MICROBIOL, V12, P1218, DOI 10.1111/j.1462-2920.2010.02164.x
Hahn MW, 2021, INT J SYST EVOL MICR, V71, DOI 10.1099/ijsem.0.004975
Hahn MW, 2018, INT J SYST EVOL MICR, V68, P2593, DOI 10.1099/ijsem.0.002880
Hahn MW, 2017, INT J SYST EVOL MICR, V67, P5087, DOI 10.1099/ijsem.0.002421
Hahn MW, 2014, INT J SYST EVOL MICR, V64, P3254, DOI 10.1099/ijs.0.065292-0
Hahn MW, 2010, INT J SYST EVOL MICR, V60, P166, DOI 10.1099/ijs.0.010595-0
Hahn MW, 2003, APPL ENVIRON MICROB, V69, P1442, DOI 10.1128/AEM.69.3.1442-1451.2003
He XS, 2015, P NATL ACAD SCI USA, V112, P244, DOI 10.1073/pnas.1419038112
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Hoetzinger M, 2019, INT J SYST EVOL MICR, V69, P203, DOI 10.1099/ijsem.0.003130
Huete-Stauffer TM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.00730
Huete-Stauffer TM, 2012, AQUAT MICROB ECOL, V67, P211, DOI 10.3354/ame01590
Jochem FJ, 2004, MAR BIOL, V145, P1213, DOI 10.1007/s00227-004-1406-7
Joux F, 2005, VIE MILIEU, V55, P197
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Kalhoefer D, 2011, BMC GENOMICS, V12, DOI 10.1186/1471-2164-12-324
Kantor RS, 2013, MBIO, V4, DOI 10.1128/mBio.00708-13
Kim S, 2019, ISME J, V13, P2252, DOI 10.1038/s41396-019-0432-x
Koch C, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00273
Lebaron P, 2001, APPL ENVIRON MICROB, V67, P1775, DOI 10.1128/AEM.67.4.1775-1782.2001
Lebaron P, 2002, AQUAT MICROB ECOL, V28, P131, DOI 10.3354/ame028131
Lee A, 2010, APPL ENVIRON MICROB, V76, P695, DOI 10.1128/AEM.01825-09
Lewis WH, 2021, NAT REV MICROBIOL, V19, P225, DOI 10.1038/s41579-020-00458-8
Li WKW, 1995, LIMNOL OCEANOGR, V40, P1485, DOI 10.4319/lo.1995.40.8.1485
Liu J, 2019, ENVIRON INT, V131, DOI 10.1016/j.envint.2019.104998
Liu J, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.02922
Liu J, 2017, MAR FRESHWATER RES, V68, P1618, DOI 10.1071/MF16068
Liu J, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0153678
Longnecker K, 2006, AQUAT MICROB ECOL, V43, P113, DOI 10.3354/ame043113
Longnecker K, 2005, APPL ENVIRON MICROB, V71, P7737, DOI 10.1128/AEM.71.12.7737-7749.2005
Loveland-Curtze J, 2010, EXTREMOPHILES, V14, P61, DOI 10.1007/s00792-009-0287-6
Luef B, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7372
Ma D, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.01510-15
Ma LP, 2019, WATER RES, V152, P191, DOI 10.1016/j.watres.2018.12.069
Marie D, 1997, APPL ENVIRON MICROB, V63, P186, DOI 10.1128/AEM.63.1.186-193.1997
Martínez-Cano DJ, 2015, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00742
Mary I, 2006, AQUAT MICROB ECOL, V45, P107, DOI 10.3354/ame045107
McLean JS, 2013, P NATL ACAD SCI USA, V110, pE2390, DOI 10.1073/pnas.1219809110
Miteva VI, 2005, APPL ENVIRON MICROB, V71, P7806, DOI 10.1128/AEM.71.12.7806-7818.2005
Morán XAG, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.0371
MORITA RY, 1988, CAN J MICROBIOL, V34, P436, DOI 10.1139/m88-076
Nakai R, 2020, MICROBES ENVIRON, V35, DOI 10.1264/jsme2.ME20025
Nakai R, 2016, GENOME ANNOUNCEMENTS, V4, DOI 10.1128/genomeA.00616-16
Nakai R, 2015, INT J SYST EVOL MICR, V65, P4072, DOI 10.1099/ijsem.0.000541
Nelson WC, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.00713
Nishimura Y, 2005, APPL ENVIRON MICROB, V71, P5828, DOI 10.1128/AEM.71.10.5828-5836.2005
Ostrowski M, 2001, APPL ENVIRON MICROB, V67, P1292, DOI 10.1128/AEM.67.3.1292-1299.2001
Pinhassi J, 2006, INT J SYST EVOL MICR, V56, P1489, DOI 10.1099/ijs.0.64232-0
Pitt A, 2021, INT J SYST EVOL MICR, V71, DOI 10.1099/ijsem.0.004825
Pitt A, 2019, INT J SYST EVOL MICR, V69, P3946, DOI 10.1099/ijsem.0.003720
Proctor CR, 2018, ISME J, V12, P1344, DOI 10.1038/s41396-018-0070-8
Ramseier MK, 2011, WATER RES, V45, P1490, DOI 10.1016/j.watres.2010.11.016
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Sahin N, 2010, FEMS MICROBIOL LETT, V307, P25, DOI 10.1111/j.1574-6968.2010.01954.x
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Santos M, 2019, ECOL INDIC, V103, P774, DOI 10.1016/j.ecolind.2019.03.033
Schattenhofer M, 2011, SYST APPL MICROBIOL, V34, P470, DOI 10.1016/j.syapm.2011.01.008
Schut F, 1997, FEMS MICROBIOL REV, V20, P363, DOI 10.1016/S0168-6445(97)00018-1
Schut F., 1993, APPL ENVIRON MICROB, V111, P115, DOI [10.1016/0378-1097(93)90191-4, DOI 10.1016/0378-1097(93)90191-4]
Servais P, 2003, AQUAT MICROB ECOL, V33, P41, DOI 10.3354/ame033041
Sharuddin SS, 2018, ECOL INDIC, V85, P79, DOI 10.1016/j.ecolind.2017.10.020
Song YH, 2019, MICROB ECOL, V78, P428, DOI 10.1007/s00248-019-01333-7
Song YH, 2019, SCI TOTAL ENVIRON, V658, P868, DOI 10.1016/j.scitotenv.2018.12.274
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Suzina NE, 2011, MICROBIOLOGY+, V80, P535, DOI 10.1134/S0026261711040187
TABOR PS, 1981, MICROB ECOL, V7, P67, DOI 10.1007/BF02010479
TORRELLA F, 1981, APPL ENVIRON MICROB, V41, P518, DOI 10.1128/AEM.41.2.518-527.1981
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Van Wambeke F, 2011, BIOGEOSCIENCES, V8, P1853, DOI 10.5194/bg-8-1853-2011
Veldhuis MJW, 1997, J PHYCOL, V33, P527, DOI 10.1111/j.0022-3646.1997.00527.x
Vila-Costa M, 2012, ENVIRON MICROBIOL, V14, P1390, DOI 10.1111/j.1462-2920.2012.02720.x
Vital M, 2007, MICROBIOL-SGM, V153, P1993, DOI 10.1099/mic.0.2006/005173-0
Wang Y, 2008, WATER RES, V42, P4319, DOI 10.1016/j.watres.2008.07.027
Wang Y, 2007, ENVIRON SCI TECHNOL, V41, P7080, DOI 10.1021/es0707198
Wang YY, 2010, TRENDS BIOTECHNOL, V28, P416, DOI 10.1016/j.tibtech.2010.04.006
Wang YY, 2009, ISME J, V3, P889, DOI 10.1038/ismej.2009.46
Zengler K, 2002, P NATL ACAD SCI USA, V99, P15681, DOI 10.1073/pnas.252630999
Zubkov MV, 2006, AQUAT MICROB ECOL, V43, P23, DOI 10.3354/ame043023
Zubkov MV, 2001, APPL ENVIRON MICROB, V67, P5210, DOI 10.1128/AEM.67.11.5210-5218.2001
Zubkov MV, 2002, AQUAT MICROB ECOL, V29, P135, DOI 10.3354/ame029135
Zubkov MV, 1998, DEEP-SEA RES PT I, V45, P1339, DOI 10.1016/S0967-0637(98)00015-6
NR 103
TC 10
Z9 11
PD JUN 15
PY 2022
VL 13
AR 900669
DI 10.3389/fmicb.2022.900669
UT WOS:000817983600001
DA 2025-07-30
ER
PT J
AU Brown, MV
Ostrowski, M
Grzymski, JJ
Lauro, FM
AF Brown, Mark V.
Ostrowski, Martin
Grzymski, Joseph J.
Lauro, Federico M.
TI A trait based perspective on the biogeography of common and abundant
marine bacterioplankton clades
SO MARINE GENOMICS
DT Review
AB Marine microbial communities provide much of the energy upon which all higher trophic levels depend, particularly in open-ocean and oligotrophic systems, and play a pivotal role in biogeochemical cycling. How and why species are distributed in the global oceans, and whether net ecosystem function can be accurately predicted from community composition are fundamental questions for marine scientists. Many of the most abundant clades of marine bacteria, including the Prochlorococcus, Synechococcus, SARI 1, SAR86 and Roseobacter, have a very broad, if not a cosmopolitan distribution. However this is not reflected in an underlying genetic identity. Rather, widespread distribution in these organisms is achieved by the existence of closely related but discrete ecotypes that display niche adaptations. Closely related ecotypes display specific nutritional or energy generating mechanisms and are adapted to different physical parameters including temperature, salinity, and hydrostatic pressure. Furthermore, biotic phenomena such as selective grazing and viral loss contribute to the success or failure of ecotypes allowing some to compete effectively in particular marine provinces but not in others. An additional layer of complexity is added by ocean currents and hydrodynamic specificity of water body masses that bound microbial dispersal and immigration. These vary in space and time with respect to intensity and direction, making the definition of large biogeographic provinces problematic. A deterministic theory aimed at understanding how all these factors shape microbial life in the oceans can only proceed through analysis of microbial traits, rather than pure phylogenetic assessments. Trait based approaches seek mechanistic explanations for the observed temporal and spatial patterns. This review will present successful recent advances in phylogenetic and trait based biogeographic analyses in some of the most abundant marine taxa. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
C1 [Brown, Mark V.; Lauro, Federico M.] Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW, Australia.
[Brown, Mark V.] Univ New S Wales, Evolut & Ecol Res Ctr, Sydney, NSW, Australia.
[Ostrowski, Martin] Macquarie Univ, Dept Chem & Biomol Sci, Sydney, NSW 2109, Australia.
[Grzymski, Joseph J.] Univ Nevada, Desert Res Inst, Div Earth & Ecosyst Sci, Reno, NV 89506 USA.
[Lauro, Federico M.] Nanyang Technol Univ, Singapore Ctr Environm Life Sci Engn, Singapore 639798, Singapore.
RP Lauro, FM (corresponding author), Univ New S Wales, Sch Biotechnol & Biomol Sci, Sydney, NSW, Australia.
EM flauro@unsw.edu.au
CR Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Ahlgren NA, 2006, APPL ENVIRON MICROB, V72, P7193, DOI 10.1128/AEM.00358-06
Ahlgren NA, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00213
Alvain S, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB003154
Amend AS, 2013, J BIOGEOGR, V40, P800, DOI 10.1111/jbi.12034
Anantharaman K, 2013, P NATL ACAD SCI USA, V110, P330, DOI 10.1073/pnas.1215340110
[Anonymous], ESA PUBLICATION
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Barton AD, 2013, ECOL LETT, V16, P522, DOI 10.1111/ele.12063
Baudouin-Cornu P, 2001, SCIENCE, V293, P297, DOI 10.1126/science.1061052
Berg IA, 2007, SCIENCE, V318, P1782, DOI 10.1126/science.1149976
Bouman HA, 2012, DEEP-SEA RES PT I, V69, P1, DOI 10.1016/j.dsr.2012.04.008
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brochier-Armanet C, 2008, NAT REV MICROBIOL, V6, P245, DOI 10.1038/nrmicro1852
Brown MV, 2007, AQUAT MICROB ECOL, V46, P107, DOI 10.3354/ame046107
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Brown MV, 2005, AQUAT MICROB ECOL, V41, P15, DOI 10.3354/ame041015
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Caporaso JG, 2012, ISME J, V6, P1621, DOI 10.1038/ismej.2012.8
Caporaso JG, 2012, ISME J, V6, P1089, DOI 10.1038/ismej.2011.162
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHISHOLM SW, 1992, ENVIR SCI R, V43, P213
Chitsaz H, 2011, NAT BIOTECHNOL, V29, P915, DOI 10.1038/nbt.1966
del Giorgio PA, 2002, NATURE, V420, P379, DOI 10.1038/nature01165
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Ducklow HW, 2013, ANNU REV MAR SCI, V5, P525, DOI 10.1146/annurev-marine-121211-172331
Dufresne A, 2005, GENOME BIOL, V6, DOI 10.1186/gb-2005-6-2-r14
Dufresne A, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-5-r90
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Eren AM, 2013, METHODS ECOL EVOL, V4, P1111, DOI 10.1111/2041-210X.12114
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Falkowski PG, 1997, NATURE, V387, P272, DOI 10.1038/387272a0
Falkowski PG, 2004, SCIENCE, V305, P354, DOI 10.1126/science.1095964
Ferris MJ, 1998, NATURE, V396, P226, DOI 10.1038/24297
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Follows MJ, 2011, ANNU REV MAR SCI, V3, P427, DOI 10.1146/annurev-marine-120709-142848
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
Gianoulis TA, 2009, P NATL ACAD SCI USA, V106, P1374, DOI 10.1073/pnas.0808022106
Gibbons SM, 2013, P NATL ACAD SCI USA, V110, P4651, DOI 10.1073/pnas.1217767110
Gifford SM, 2013, ISME J, V7, P281, DOI 10.1038/ismej.2012.96
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
Gómez-Pereira PR, 2010, ISME J, V4, P472, DOI 10.1038/ismej.2009.142
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Grzymski JJ, 2012, ISME J, V6, P71, DOI 10.1038/ismej.2011.72
Hartmann M, 2012, P NATL ACAD SCI USA, V109, P5756, DOI 10.1073/pnas.1118179109
Hewson I, 2006, LIMNOL OCEANOGR, V51, P1274, DOI 10.4319/lo.2006.51.3.1274
Hu AY, 2011, APPL ENVIRON MICROB, V77, P7469, DOI 10.1128/AEM.00294-11
Jiang XP, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043866
Johnson ZI, 2006, SCIENCE, V311, P1737, DOI 10.1126/science.1118052
Kang I, 2010, J BACTERIOL, V192, P6315, DOI 10.1128/JB.01088-10
KARL DM, 1984, NATURE, V309, P54, DOI 10.1038/309054a0
KARL DM, 1995, NATURE, V373, P230, DOI 10.1038/373230a0
Kettler GC, 2007, PLOS GENET, V3, P2515, DOI 10.1371/journal.pgen.0030231
Kirchman DL, 2010, ENVIRON MICROBIOL, V12, P1132, DOI 10.1111/j.1462-2920.2010.02154.x
Kirkham AR, 2013, ISME J, V7, P922, DOI 10.1038/ismej.2012.166
Koeppel AF, 2013, NUCLEIC ACIDS RES, V41, P5175, DOI 10.1093/nar/gkt241
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Lauro FM, 2007, APPL ENVIRON MICROB, V73, P838, DOI 10.1128/AEM.01726-06
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
LONGHURST A, 1995, J PLANKTON RES, V17, P1245, DOI 10.1093/plankt/17.6.1245
Luo HW, 2013, MBIO, V4, DOI 10.1128/mBio.00373-13
Mahaffey C, 2005, AM J SCI, V305, P546, DOI 10.2475/ajs.305.6-8.546
Malmstrom RR, 2013, ISME J, V7, P184, DOI 10.1038/ismej.2012.89
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Martiny AC, 2013, ISME J, V7, P830, DOI 10.1038/ismej.2012.160
Martiny AC, 2009, P NATL ACAD SCI USA, V106, P10787, DOI 10.1073/pnas.0902532106
Mazard S, 2012, ENVIRON MICROBIOL, V14, P372, DOI 10.1111/j.1462-2920.2011.02514.x
Moore LR, 2005, AQUAT MICROB ECOL, V39, P257, DOI 10.3354/ame039257
MOORE LR, 1995, MAR ECOL PROG SER, V116, P259, DOI 10.3354/meps116259
Moore LR, 1998, NATURE, V393, P464, DOI 10.1038/30965
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Needham DM, 2013, ISME J, V7, P1274, DOI 10.1038/ismej.2013.19
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Oliver MJ, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034238
Ostrowski M, 2010, ISME J, V4, P908, DOI 10.1038/ismej.2010.24
Ottesen EA, 2013, P NATL ACAD SCI USA, V110, pE488, DOI 10.1073/pnas.1222099110
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Palenik B, 2006, P NATL ACAD SCI USA, V103, P13555, DOI 10.1073/pnas.0602963103
Partensky F., 1999, Bull. Insfituf Ocean, V19, P457
Partensky F, 2010, ANNU REV MAR SCI, V2, P305, DOI 10.1146/annurev-marine-120308-081034
Patel PV, 2010, GENOME RES, V20, P960, DOI 10.1101/gr.102814.109
Pittera J, 2014, ISME J, V8, P1221, DOI 10.1038/ismej.2013.228
Pommier T, 2007, MOL ECOL, V16, P867, DOI 10.1111/j.1365-294X.2006.03189.x
Post AF, 2011, FRONT MICROBIOL, V2, DOI 10.3389/fmicb.2011.00131
Raes J, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.6
Raven J.A., 1999, Progress in Phycological Research, V13, P33
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Rusch DB, 2010, P NATL ACAD SCI USA, V107, P16184, DOI 10.1073/pnas.1009513107
Sabehi G, 2004, ENVIRON MICROBIOL, V6, P903, DOI 10.1111/j.1462-2920.2004.00676.x
Scanlan DJ, 2009, MICROBIOL MOL BIOL R, V73, P249, DOI 10.1128/MMBR.00035-08
Schloss PD, 2005, APPL ENVIRON MICROB, V71, P1501, DOI 10.1128/AEM.71.3.1501-1506.2005
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Seligmann H, 2003, J MOL EVOL, V56, P151, DOI 10.1007/s00239-002-2388-z
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Seymour JR, 2012, ENV MICROBIOL REP, V4, P548, DOI 10.1111/j.1758-2229.2012.00362.x
Shade A, 2009, ISME J, V3, P881, DOI 10.1038/ismej.2009.56
Sheik CS, 2014, ENVIRON MICROBIOL, V16, P304, DOI 10.1111/1462-2920.12165
Six C, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-12-r259
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
STACKEBRANDT E, 1994, INT J SYST BACTERIOL, V44, P846, DOI 10.1099/00207713-44-4-846
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Stuart RK, 2013, ISME J, V7, P1139, DOI 10.1038/ismej.2012.175
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tai V, 2009, ISME J, V3, P903, DOI 10.1038/ismej.2009.35
Thompson AW, 2012, SCIENCE, V337, P1546, DOI 10.1126/science.1222700
Thrash JC., 2014, ISME J
Toledo G, 2003, LIMNOL OCEANOGR, V48, P1744, DOI 10.4319/lo.2003.48.5.1744
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Waldbauer JR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043432
Walsh DA, 2009, SCIENCE, V326, P578, DOI 10.1126/science.1175309
West NJ, 1999, APPL ENVIRON MICROB, V65, P2585
West NJ, 2011, ISME J, V5, P933, DOI 10.1038/ismej.2010.186
Wilhelm LJ, 2007, BIOL DIRECT, V2, DOI 10.1186/1745-6150-2-27
Wilkins D, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3457
Wilkins D, 2013, ENVIRON MICROBIOL, V15, P1318, DOI 10.1111/1462-2920.12035
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Woodcock S, 2006, ECOL LETT, V9, P805, DOI 10.1111/j.1461-0248.2006.00929.x
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zinger L, 2014, MOL ECOL, V23, P954, DOI 10.1111/mec.12640
Zinser ER, 2007, LIMNOL OCEANOGR, V52, P2205, DOI 10.4319/lo.2007.52.5.2205
Zubkov MV, 2003, APPL ENVIRON MICROB, V69, P1299, DOI 10.1128/AEM.69.2.1299-1304.2003
Zwirglmaier K, 2008, ENVIRON MICROBIOL, V10, P147, DOI 10.1111/j.1462-2920.2007.01440.x
NR 137
TC 64
Z9 73
PD JUN
PY 2014
VL 15
BP 17
EP 28
DI 10.1016/j.margen.2014.03.002
UT WOS:000338606500007
DA 2025-07-30
ER
PT J
AU Kim, S
Park, MS
Song, J
Kang, I
Cho, JC
AF Kim, Suhyun
Park, Miri S.
Song, Jaeho
Kang, Ilnam
Cho, Jang-Cheon
TI High-throughput cultivation based on dilution-to-extinction with
catalase supplementation and a case study of cultivating acI bacteria
from Lake Soyang
SO JOURNAL OF MICROBIOLOGY
DT Article
AB Multi-omics approaches, including metagenomics and single-cell amplified genomics, have revolutionized our understanding of the hidden diversity and function of microbes in nature. Even in the omics age, cultivation is an essential discipline in microbial ecology since microbial cultures are necessary to assess the validity of an in silico prediction about the microbial metabolism and to isolate viruses infecting bacteria and archaea. However, the ecophysiological characteristics of predominant freshwater bacterial lineages remain largely unknown due to the scarcity of cultured representatives. In an ongoing effort to cultivate the uncultured majority of freshwater bacteria, the most abundant freshwater Actinobacteria acI clade has recently been cultivated from Lake Soyang through catalase-supplemented high-throughput cultivation based on dilution-to-extinction. This method involves physical isolation of target microbes from mixed populations, culture media simulating natural habitats, and removal of toxic compounds. In this protocol, we describe detailed procedures for isolating freshwater oligotrophic microbes, as well as the essence of the dilution-to-extinction culturing. As a case study employing the catalase-supplemented dilution-to-extinction protocol, we also report a cultivation trial using a water sample collected from Lake Soyang. Of the 480 cultivation wells inoculated with a single lake-water sample, 75 new acI strains belonging to 8 acI tribes (acI-A1, A2, A4, A5, A6, A7, B1, B4, C1, and C2) were cultivated, and each representative strain per subclade could be revived from glycerol stocks. These cultivation results demonstrate that the protocol described in this study is efficient in isolating freshwater bacterioplankton harboring streamlined genomes.
C1 [Kim, Suhyun; Park, Miri S.; Song, Jaeho; Kang, Ilnam; Cho, Jang-Cheon] Inha Univ, Dept Biol Sci, Incheon 22212, South Korea.
RP Cho, JC (corresponding author), Inha Univ, Dept Biol Sci, Incheon 22212, South Korea.
EM chojc@inha.ac.kr
CR ALLEN DA, 1983, J GEN MICROBIOL, V129, P2043
Bartelme RP, 2020, MSPHERE, V5, DOI 10.1128/mSphere.00024-20
Berdy B, 2017, NAT PROTOC, V12, P2232, DOI 10.1038/nprot.2017.074
Boitard L, 2015, ENG LIFE SCI, V15, P318, DOI 10.1002/elsc.201400089
Boscaro V, 2013, P NATL ACAD SCI USA, V110, P18590, DOI 10.1073/pnas.1316687110
Button DK, 1998, APPL ENVIRON MICROB, V64, P4467
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Carini P, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00092-19
Carini P, 2014, ISME J, V8, P1727, DOI 10.1038/ismej.2014.61
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Chaudhary DK, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43182-x
CHISHOLM SW, 1992, ARCH MICROBIOL, V157, P297, DOI 10.1007/BF00245165
Cho JC, 2007, ENVIRON MICROBIOL, V9, P1456, DOI 10.1111/j.1462-2920.2007.01264.x
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
COCHRAN WG, 1950, BIOMETRICS, V6, P105, DOI 10.2307/3001491
Connon SA, 2005, ENVIRON MICROBIOL, V7, P165, DOI 10.1111/j.1462-2920.2004.00680.x
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Cross KL, 2019, NAT BIOTECHNOL, V37, P1314, DOI 10.1038/s41587-019-0260-6
Daims H, 2015, NATURE, V528, P504, DOI 10.1038/nature16461
Dichosa AEK, 2014, NAT PROTOC, V9, P608, DOI 10.1038/nprot.2014.034
Gao WM, 2013, MICROBIOME, V1, DOI 10.1186/2049-2618-1-4
Giovannoni S, 2007, NAT REV MICROBIOL, V5, P820, DOI 10.1038/nrmicro1752
Giovannoni SJ, 2008, ENVIRON MICROBIOL, V10, P1771, DOI 10.1111/j.1462-2920.2008.01598.x
Hahn MW, 2016, ISME J, V10, P1642, DOI 10.1038/ismej.2015.237
Hahn MW, 2009, INT J SYST EVOL MICR, V59, P112, DOI 10.1099/ijs.0.001743-0
Hahn MW, 1998, APPL ENVIRON MICROB, V64, P1910
Hahn MW, 2003, APPL ENVIRON MICROB, V69, P1442, DOI 10.1128/AEM.69.3.1442-1451.2003
Halvorson HO, 1933, J BACTERIOL, V25, P101, DOI 10.1128/JB.25.2.101-121.1933
Hansen SH, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45414-6
Henson MW, 2018, ISME J, V12, P1846, DOI 10.1038/s41396-018-0092-2
Henson MW, 2016, MSPHERE, V1, DOI 10.1128/mSphere.00028-16
Hörtnagl P, 2011, AQUAT ECOL, V45, P125, DOI 10.1007/s10452-010-9341-9
Hornák K, 2017, ENVIRON MICROBIOL, V19, P4519, DOI 10.1111/1462-2920.13900
Janssen PH, 2002, APPL ENVIRON MICROB, V68, P2391, DOI 10.1128/AEM.68.5.2391-2396.2002
Jezberová J, 2017, APPL ENVIRON MICROB, V83, DOI 10.1128/AEM.01530-17
Jo J, 2020, J MICROBIOL, V58, P176, DOI 10.1007/s12275-020-9525-5
Jung D, 2014, FEMS MICROBIOL ECOL, V90, P417, DOI 10.1111/1574-6941.12399
Kaeberlein T, 2002, SCIENCE, V296, P1127, DOI 10.1126/science.1070633
Kang I, 2017, SCI REP-UK, V7, DOI 10.1038/srep42252
Kasalicky V, 2010, INT J SYST EVOL MICR, V60, P2710, DOI 10.1099/ijs.0.018952-0
Kato S, 2020, MICROBES ENVIRON, V35, P1
Keloth A, 2018, MICROMACHINES-BASEL, V9, DOI 10.3390/mi9090434
Kim H, 2020, J MICROBIOL, V58, P193, DOI 10.1007/s12275-020-9556-y
Kim JG, 2016, P NATL ACAD SCI USA, V113, P7888, DOI 10.1073/pnas.1605501113
Kim S, 2019, ISME J, V13, P2252, DOI 10.1038/s41396-019-0432-x
Kim S, 2017, J MICROBIOL BIOTECHN, V27, P825, DOI 10.4014/jmb.1701.01047
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Lagier JC, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.203, 10.1038/nmicrobiol.2016.203]
Lee J, 2019, J MICROBIOL, V57, P676, DOI 10.1007/s12275-019-9001-2
Ludwig W, 2004, NUCLEIC ACIDS RES, V32, P1363, DOI 10.1093/nar/gkh293
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris JJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016805
Neuenschwander SM, 2018, ISME J, V12, P185, DOI 10.1038/ismej.2017.156
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Nichols D, 2010, APPL ENVIRON MICROB, V76, P2445, DOI 10.1128/AEM.01754-09
Oberhardt MA, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9493
Page KA, 2004, APPL ENVIRON MICROB, V70, P6542, DOI 10.1128/AEM.70.11.6542-6550.2004
Pruesse E, 2007, NUCLEIC ACIDS RES, V35, P7188, DOI 10.1093/nar/gkm864
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quast C, 2013, NUCLEIC ACIDS RES, V41, pD590, DOI 10.1093/nar/gks1219
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Salcher MM, 2019, ISME J, V13, P2764, DOI 10.1038/s41396-019-0471-3
Salcher MM, 2015, ISME J, V9, P2442, DOI 10.1038/ismej.2015.55
Sangwan N, 2016, MSYSTEMS, V1, DOI 10.1128/mSystems.00003-16
Schloss PD, 2009, APPL ENVIRON MICROB, V75, P7537, DOI 10.1128/AEM.01541-09
Shah V, 2017, ISME J, V11, P263, DOI 10.1038/ismej.2016.87
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Spietz RL, 2019, ENVIRON MICROBIOL, V21, P2391, DOI 10.1111/1462-2920.14623
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Tamaki H, 2009, ENVIRON MICROBIOL, V11, P1827, DOI 10.1111/j.1462-2920.2009.01907.x
Thrash J. C., 2017, HYDROCARBON LIPID MI, P57
Thrash JC, 2019, MSYSTEMS, V4, DOI 10.1128/mSystems.00130-19
Tripp H.J., 2008, PROTOC EXCH, DOI [10.1038/nprot.2008.29, DOI 10.1038/NPR0T.2008.29, 10. 1038/nprot. 2008. 29]
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Williams TA, 2014, GENOME BIOL EVOL, V6, P474, DOI 10.1093/gbe/evu031
Yang SJ, 2016, MICROB ECOL, V71, P29, DOI 10.1007/s00248-015-0695-3
Yu CD, 2018, APPL MICROBIOL BIOT, V102, P9363, DOI 10.1007/s00253-018-9274-0
Zengler K, 2002, P NATL ACAD SCI USA, V99, P15681, DOI 10.1073/pnas.252630999
Zhang WW, 2010, MICROBIOL-SGM, V156, P287, DOI 10.1099/mic.0.034793-0
NR 84
TC 12
Z9 16
PD NOV
PY 2020
VL 58
IS 11
BP 893
EP 905
DI 10.1007/s12275-020-0452-2
UT WOS:000583050500001
DA 2025-07-30
ER
PT B
AU Hullar, MAJ
AF Hullar, Meredith A. J.
BE Hurst, CJ
Crawford, RL
Garland, JL
Lipson, DA
Mills, AL
Stetzenbach, LD
TI An Overview of Methodologies in Aquatic Microbial Ecology
SO MANUAL OF ENVIRONMENTAL MICROBIOLOGY, 3RD ED
DT Article; Book Chapter
C1 Fred Hutchinson Canc Res Inst, Seattle, WA 98112 USA.
RP Hullar, MAJ (corresponding author), Fred Hutchinson Canc Res Inst, Seattle, WA 98112 USA.
CR Adamczyk J, 2003, APPL ENVIRON MICROB, V69, P6875, DOI 10.1128/AEM.69.11.6875-6887.2003
[Anonymous], MANUAL ENV MICROBIOL
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Béjà O, 2001, NATURE, V411, P786, DOI 10.1038/35081051
Bernhard AE, 2005, ENVIRON MICROBIOL, V7, P1289, DOI 10.1111/j.1462-2920.2005.00808.x
Boschker HTS, 2001, FEMS MICROBIOL ECOL, V35, P97, DOI 10.1016/S0168-6496(00)00116-1
Castiglioni B, 2004, APPL ENVIRON MICROB, V70, P7161, DOI 10.1128/AEM.70.12.7161-7172.2004
Chen K, 2005, PLOS COMPUT BIOL, V1, P106, DOI 10.1371/journal.pcbi.0010024
COFFIN RB, 1989, LIMNOL OCEANOGR, V34, P1305, DOI 10.4319/lo.1989.34.7.1305
COFFIN RB, 1990, APPL ENVIRON MICROB, V56, P2012, DOI 10.1128/AEM.56.7.2012-2020.1990
Crump BC, 2003, APPL ENVIRON MICROB, V69, P2253, DOI 10.1128/AEM.69.4.2253-2268.2003
de la Torre JR, 2003, P NATL ACAD SCI USA, V100, P12830, DOI 10.1073/pnas.2133554100
Dehnert M, 2005, J COMPUT BIOL, V12, P545, DOI 10.1089/cmb.2005.12.545
Delcher AL, 1999, NUCLEIC ACIDS RES, V27, P2369, DOI 10.1093/nar/27.11.2369
Delcher AL, 1999, NUCLEIC ACIDS RES, V27, P4636, DOI 10.1093/nar/27.23.4636
Delcher AL, 2002, NUCLEIC ACIDS RES, V30, P2478, DOI 10.1093/nar/30.11.2478
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Donachie SP, 2004, MICROB ECOL, V48, P509, DOI 10.1007/s00248-004-0217-1
Dorigo U, 2005, WATER RES, V39, P2207, DOI 10.1016/j.watres.2005.04.007
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Hiorns WD, 1997, APPL ENVIRON MICROB, V63, P2957, DOI 10.1128/AEM.63.7.2957-2960.1997
Hugenholtz P, 2002, GENOME BIOL, V3
Hullar MAJ, 2006, APPL ENVIRON MICROB, V72, P713, DOI 10.1128/AEM.72.1.713-722.2006
Jenkins BD, 2004, APPL ENVIRON MICROB, V70, P1767, DOI 10.1128/AEM.70.3.1767-1776.2004
Kan Jinjun, 2005, Saline Syst, V1, P7, DOI 10.1186/1746-1448-1-7
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
LANDER E S, 1988, Genomics, V2, P231
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Loy A, 2006, CLIN CHIM ACTA, V363, P106, DOI 10.1016/j.cccn.2005.05.041
MacGregor BJ, 2002, ENVIRON MICROBIOL, V4, P451, DOI 10.1046/j.1462-2920.2002.00324.x
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
McCallister SL, 2004, LIMNOL OCEANOGR, V49, P1687, DOI 10.4319/lo.2004.49.5.1687
ODUM HT, 1988, SCIENCE, V242, P1132, DOI 10.1126/science.242.4882.1132
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Orphan VJ, 2001, SCIENCE, V293, P484, DOI 10.1126/science.1061338
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
PACE NR, 1986, ADV MICROB ECOL, V9, P1
Pearson A, 2004, MAR CHEM, V92, P295, DOI 10.1016/j.marchem.2004.06.032
POMEROY LR, 1974, BIOSCIENCE, V24, P499, DOI 10.2307/1296885
Radajewski S, 2000, NATURE, V403, P646, DOI 10.1038/35001054
Ram RJ, 2005, SCIENCE, V308, P1915, DOI 10.1126/science. 1109070
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Riesenfeld CS, 2004, ANNU REV GENET, V38, P525, DOI 10.1146/annurev.genet.38.072902.091216
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Salzberg SL, 1999, GENOMICS, V59, P24, DOI 10.1006/geno.1999.5854
Salzberg SL, 1998, NUCLEIC ACIDS RES, V26, P544, DOI 10.1093/nar/26.2.544
Sandberg R, 2003, GENE, V311, P35, DOI 10.1016/S0378-1119(03)00581-X
Schulze WX, 2005, OECOLOGIA, V142, P335, DOI 10.1007/s00442-004-1698-9
Taroncher-Oldenburg G, 2003, APPL ENVIRON MICROB, V69, P1159, DOI 10.1128/AEM.69.2.1159-1171.2003
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Van Mooy BAS, 2004, ENVIRON MICROBIOL, V6, P1061, DOI 10.1111/j.1462-2920.2004.00636.x
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Verducci JS, 2006, PHYSIOL GENOMICS, V25, P355, DOI 10.1152/physiolgenomics.00314.2004
Wagner M, 2006, CURR OPIN BIOTECH, V17, P83, DOI 10.1016/j.copbio.2005.12.006
Wendl MC, 2002, GENOME RES, V12, P1943, DOI 10.1101/gr.655102
Wilmes P, 2006, TRENDS MICROBIOL, V14, P92, DOI 10.1016/j.tim.2005.12.006
Wilmes P, 2004, ENVIRON MICROBIOL, V6, P911, DOI 10.1111/j.1462-2920.2004.00687.x
Wuchter C, 2003, FEMS MICROBIOL LETT, V219, P203, DOI 10.1016/S0378-1097(03)00060-0
NR 62
TC 0
Z9 0
PY 2007
BP 393
EP 398
UT WOS:000278001100032
DA 2025-07-30
ER
PT J
AU Zaballos, M
López-López, A
Ovreas, L
Bartual, SG
D'Auria, G
Alba, JC
Legault, B
Pushker, R
Daae, FL
Rodríguez-Valera, F
AF Zaballos, Milagros
Lopez-Lopez, Arantxa
Ovreas, Lise
Bartual, Sergio Galan
D'Auria, Giuseppe
Alba, Jose Carlos
Legault, Boris
Pushker, Ravindra
Daae, Frida Lise
Rodriguez-Valera, Francisco
TI Comparison of prokaryotic diversity at offshore oceanic locations
reveals a different microbiota in the Mediterranean Sea
SO FEMS MICROBIOLOGY ECOLOGY
DT Article
AB The bacterial and archaeal assemblages at two offshore sites located in polar (Greenland Sea; depth: 50 and 2000 m) and Mediterranean (Ionian Sea; depth 50 and 3000 m) waters were studied by PCR amplification and sequencing of the last 450-500 bp of the 16S rRNA gene. A total of 1621 sequences, together with alignable 16S rRNA gene fragments from the Sargasso Sea metagenome database, were analysed to ascertain variations associated with geographical location and depth. The Ionian 50 m sample appeared to be the most diverse and also had remarkable differences in terms of the prokaryotic groups retrieved; surprisingly, however, many similarities were found at the level of large-scale diversity between the Sargasso database fragments and the Greenland 50 m sample. Most sequences with more than 97% sequence similarity, a value often taken as indicative of species delimitation, were only found at a single location/depth; nevertheless, a few examples of cosmopolitan sequences were found in all samples. Depth was also an important factor and, although both deep-water samples had overall similarities, there were important differences that could be due to the warmer waters at depth of the Mediterranean Sea.
C1 Univ Miguel Hernandez, Div Microbiol, Alicante 03550, Spain.
Univ Miguel Hernandez, Evolutionary Genom Grp, Alicante 03550, Spain.
Univ Bergen, Dept Biol, Bergen, Norway.
RP Rodríguez-Valera, F (corresponding author), Univ Miguel Hernandez, Div Microbiol, Campus San Juan, Alicante 03550, Spain.
EM frvalera@umh.es
CR Abildgaard L, 2004, INT J SYST EVOL MICR, V54, P393, DOI 10.1099/ijs.0.02820-0
ACHENBACHRICHER L, 1998, SYST APPL MICROBIOL, V10, P211
Acinas SG, 1999, APPL ENVIRON MICROB, V65, P514
Altschul SF, 1998, TRENDS BIOCHEM SCI, V23, P444, DOI 10.1016/S0968-0004(98)01298-5
Bano N, 2004, APPL ENVIRON MICROB, V70, P781, DOI 10.1128/AEM.70.2.781-789.2004
Bano N, 2002, APPL ENVIRON MICROB, V68, P505, DOI 10.1128/AEM.68.2.505-518.2002
Bintrim SB, 1997, P NATL ACAD SCI USA, V94, P277, DOI 10.1073/pnas.94.1.277
Blackall LL, 1996, INT J SYST BACTERIOL, V46, P344, DOI 10.1099/00207713-46-1-344
Bowman JP, 2003, APPL ENVIRON MICROB, V69, P2448, DOI 10.1128/AEM.69.5.2448-2462.2003
Boyer SL, 2001, MOL BIOL EVOL, V18, P1057, DOI 10.1093/oxfordjournals.molbev.a003877
BREGANT D, 1990, MAR CHEM, V31, P35, DOI 10.1016/S0304-4203(05)80004-0
BRITSCHGI TB, 1991, APPL ENVIRON MICROB, V57, P1707, DOI 10.1128/AEM.57.6.1707-1713.1991
Bruns A, 2003, INT J SYST EVOL MICR, V53, P1917, DOI 10.1099/ijs.0.02735-0
*CIESM, 2003, CIESM WORKSH MON, V23, P128
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
DELONG EF, 1994, NATURE, V371, P695, DOI 10.1038/371695a0
Dhillon A, 2003, APPL ENVIRON MICROB, V69, P2765, DOI 10.1128/AEM.69.5.2765-2772.2003
Fenchel T, 2003, SCIENCE, V301, P925, DOI 10.1126/science.1089242
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Fuhrman JA, 1997, MAR ECOL PROG SER, V150, P275, DOI 10.3354/meps150275
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
García-Martínez J, 2000, MOL ECOL, V9, P935, DOI 10.1046/j.1365-294x.2000.00953.x
García-Martínez J, 2002, ENVIRON MICROBIOL, V4, P42, DOI 10.1046/j.1462-2920.2002.00255.x
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Hahn MW, 2003, APPL ENVIRON MICROB, V69, P1442, DOI 10.1128/AEM.69.3.1442-1451.2003
HURLBERT SH, 1971, ECOLOGY, V52, P577, DOI 10.2307/1934145
Huston AL, 2004, APPL ENVIRON MICROB, V70, P3321, DOI 10.1128/AEM.70.6.3321-3328.2004
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
López-García P, 2001, ENVIRON MICROBIOL, V3, P72, DOI 10.1046/j.1462-2920.2001.00162.x
López-García P, 2001, FEMS MICROBIOL ECOL, V36, P193, DOI 10.1016/S0168-6496(01)00133-7
López-López A, 2005, ENVIRON MICROBIOL, V7, P649, DOI 10.1111/j.1462-2920.2005.00733.x
Madrid VM, 2001, APPL ENVIRON MICROB, V67, P1663, DOI 10.1128/AEM.67.4.1663-1674.2001
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Marchesi JR, 1998, APPL ENVIRON MICROB, V64, P795
Massana R, 1997, APPL ENVIRON MICROB, V63, P50, DOI 10.1128/AEM.63.1.50-56.1997
Massana R, 1998, LIMNOL OCEANOGR, V43, P607, DOI 10.4319/lo.1998.43.4.0607
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Nubel U, 1997, APPL ENVIRON MICROB, V63, P3327
O'Sullivan LA, 2004, FEMS MICROBIOL ECOL, V47, P359, DOI 10.1016/S0168-6496(03)00300-3
Pernthaler J, 2001, APPL ENVIRON MICROB, V67, P2145, DOI 10.1128/AEM.67.5.2145-2155.2001
Preston CM, 1996, P NATL ACAD SCI USA, V93, P6241, DOI 10.1073/pnas.93.13.6241
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Rappé MS, 1999, SYST APPL MICROBIOL, V22, P106, DOI 10.1016/S0723-2020(99)80033-2
REYSENBACH AL, 1992, APPL ENVIRON MICROB, V58, P3417, DOI 10.1128/AEM.58.10.3417-3418.1992
Rocap G, 2002, APPL ENVIRON MICROB, V68, P1180, DOI 10.1128/AEM.68.3.1180-1191.2002
Schut F, 1997, AQUAT MICROB ECOL, V12, P177, DOI 10.3354/ame012177
Sekar R, 2003, APPL ENVIRON MICROB, V69, P2928, DOI 10.1128/AEm.69.5.2928-2935.2003
Simu K, 2004, APPL ENVIRON MICROB, V70, P2445, DOI 10.1128/AEM.70.4.2445-2451.2004
Stackebrandt E, 1997, INT J SYST BACTERIOL, V47, P479, DOI 10.1099/00207713-47-2-479
Suzuki MT, 2001, ENVIRON MICROBIOL, V3, P323, DOI 10.1046/j.1462-2920.2001.00198.x
Urbach E, 2001, LIMNOL OCEANOGR, V46, P557, DOI 10.4319/lo.2001.46.3.0557
van der Maarel MJEC, 1998, APPL ENVIRON MICROB, V64, P2894
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
WEISBURG WG, 1991, J BACTERIOL, V173, P697, DOI 10.1128/JB.173.2.697-703.1991
Whitaker RJ, 2003, SCIENCE, V301, P976, DOI 10.1126/science.1086909
Whitman WB, 1998, P NATL ACAD SCI USA, V95, P6578, DOI 10.1073/pnas.95.12.6578
Wright TD, 1997, APPL ENVIRON MICROB, V63, P1441, DOI 10.1128/AEM.63.4.1441-1448.1997
NR 58
TC 65
Z9 71
PD JUN
PY 2006
VL 56
IS 3
BP 389
EP 405
DI 10.1111/j.1574-6941.2006.00060.x
UT WOS:000237517300007
DA 2025-07-30
ER
PT J
AU Elifantz, H
Malmstrom, RR
Cottrell, MT
Kirchman, DL
AF Elifantz, H
Malmstrom, RR
Cottrell, MT
Kirchman, DL
TI Assimilation of polysaccharides and glucose by major bacterial groups in
the Delaware Estuary
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The contribution of major bacterial groups to the assimilation of extracellular polymeric substances (EPS) and glucose in the Delaware Estuary was assessed using microautoradiography and fluorescence in situ hybridization. Bacterial groups contributed to EPS and glucose assimilation in part according to their distribution in the estuary. Abundance of the phylogenetic groups explained 35% and 55% of the variation in EPS and glucose assimilation, respectively. Actinobacteria contributed 70% to glucose assimilation in freshwater, while Alphaproteobacteria assimilated 60% of this compound in saline water. In contrast, various bacterial groups dominated the assimilation of EPS. Actinobacteria and Betaproteobacteria contributed the most in the freshwater section, whereas Cytophaga-like bacteria and Alpha- and Gammaproteobacteria participated in EPS assimilation in the lower part of the estuary. In addition, we examined the fraction of bacteria in each group that assimilated glucose or EPS. Overall, the fraction of bacteria in all groups that assimilated glucose was higher than the fraction that assimilated EPS (15 to 30% versus 5 to 20%, respectively). We found no correlation between the relative abundance of a group in the estuary and the fraction of bacteria actively assimilating glucose or EPS; the more active groups were often less abundant. Our results imply that the bacterial community in the Delaware Estuary is not controlled solely by "bottom-up" factors such as dissolved organic matter.
C1 Univ Delaware, Coll Marine Studies, Lewes, DE 19958 USA.
RP Univ Delaware, Coll Marine Studies, Lewes, DE 19958 USA.
EM Kirchman@cms.udel.edu
CR Acinas SG, 2004, NATURE, V430, P551, DOI 10.1038/nature02649
Aluwihare LI, 1999, MAR ECOL PROG SER, V186, P105, DOI 10.3354/meps186105
AMANN RI, 1990, J BACTERIOL, V172, P762, DOI 10.1128/jb.172.2.762-770.1990
BARTLETT DH, 1988, P NATL ACAD SCI USA, V85, P3923, DOI 10.1073/pnas.85.11.3923
BENNER R, 1992, SCIENCE, V255, P1561, DOI 10.1126/science.255.5051.1561
Biersmith A, 1998, MAR CHEM, V63, P131, DOI 10.1016/S0304-4203(98)00057-7
Borch NH, 1997, MAR CHEM, V57, P85, DOI 10.1016/S0304-4203(97)00002-9
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Crump BC, 1999, APPL ENVIRON MICROB, V65, P3192
de Brouwer JFC, 2002, J PHYCOL, V38, P464, DOI 10.1046/j.1529-8817.2002.t01-1-01164.x
delGiorgio PA, 1996, LIMNOL OCEANOGR, V41, P1169, DOI 10.4319/lo.1996.41.6.1169
DELONG EF, 1993, LIMNOL OCEANOGR, V38, P924, DOI 10.4319/lo.1993.38.5.0924
Field KG, 1997, APPL ENVIRON MICROB, V63, P63, DOI 10.1128/AEM.63.1.63-70.1997
Gerhardt P., 1994, METHODS GEN MOL BACT, P518, DOI DOI 10.1002/FOOD.19960400226
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Glöckner FO, 1999, APPL ENVIRON MICROB, V65, P3721
GONZALEZ JM, 1990, APPL ENVIRON MICROB, V56, P583, DOI 10.1128/AEM.56.3.583-589.1990
Janse I, 2000, AQUAT MICROB ECOL, V22, P119, DOI 10.3354/ame022119
Jürgens K, 2002, ANTON LEEUW INT J G, V81, P413, DOI 10.1023/A:1020505204959
Karner M, 1997, APPL ENVIRON MICROB, V63, P1208, DOI 10.1128/AEM.63.4.1208-1213.1997
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kirchman DL, 2003, ESTUARIES, V26, P894, DOI 10.1007/BF02803348
Kirchman DL., 2003, Aquatic Ecosystems: Interactivity of Dissolved Organic Matter, P217, DOI DOI 10.1016/B978-012256371-3/50010-X
Lynd LR, 2002, MICROBIOL MOL BIOL R, V66, P506, DOI 10.1128/MMBR.66.3.506-577.2002
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
MANZ W, 1992, SYST APPL MICROBIOL, V15, P593, DOI 10.1016/S0723-2020(11)80121-9
Manz W, 1996, MICROBIOL-SGM, V142, P1097, DOI 10.1099/13500872-142-5-1097
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MURRAY AG, 1992, MAR ECOL PROG SER, V89, P103, DOI 10.3354/meps089103
PAKULSKI JD, 1994, LIMNOL OCEANOGR, V39, P930, DOI 10.4319/lo.1994.39.4.0930
ROLLER C, 1994, MICROBIOL-UK, V140, P2849, DOI 10.1099/00221287-140-10-2849
Sherr EB, 2002, DEEP-SEA RES PT II, V49, P4571, DOI 10.1016/S0967-0645(02)00129-7
SIERACKI ME, 1989, CYTOMETRY, V10, P551, DOI 10.1002/cyto.990100510
Simek K, 2003, AQUAT MICROB ECOL, V31, P123, DOI 10.3354/ame031123
Skoog A, 1999, LIMNOL OCEANOGR, V44, P1625, DOI 10.4319/lo.1999.44.7.1625
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Underwood GJC, 2004, J PHYCOL, V40, P293, DOI 10.1111/j.1529-8817.2004.03076.x
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Weinbauer MG, 1998, AQUAT MICROB ECOL, V15, P103, DOI 10.3354/ame015103
Yokokawa T, 2004, LIMNOL OCEANOGR, V49, P1620, DOI 10.4319/lo.2004.49.5.1620
NR 46
TC 116
Z9 126
PD DEC
PY 2005
VL 71
IS 12
BP 7799
EP 7805
DI 10.1128/AEM.71.12.7799-7805.2005
UT WOS:000234417600020
DA 2025-07-30
ER
PT J
AU de la Higuera, I
Lázaro, E
AF de la Higuera, Ignacio
Lazaro, Ester
TI Viruses in astrobiology
SO FRONTIERS IN MICROBIOLOGY
DT Review
AB Viruses are the most abundant biological entities on Earth, and yet, they have not received enough consideration in astrobiology. Viruses are also extraordinarily diverse, which is evident in the types of relationships they establish with their host, their strategies to store and replicate their genetic information and the enormous diversity of genes they contain. A viral population, especially if it corresponds to a virus with an RNA genome, can contain an array of sequence variants that greatly exceeds what is present in most cell populations. The fact that viruses always need cellular resources to multiply means that they establish very close interactions with cells. Although in the short term these relationships may appear to be negative for life, it is evident that they can be beneficial in the long term. Viruses are one of the most powerful selective pressures that exist, accelerating the evolution of defense mechanisms in the cellular world. They can also exchange genetic material with the host during the infection process, providing organisms with capacities that favor the colonization of new ecological niches or confer an advantage over competitors, just to cite a few examples. In addition, viruses have a relevant participation in the biogeochemical cycles of our planet, contributing to the recycling of the matter necessary for the maintenance of life. Therefore, although viruses have traditionally been excluded from the tree of life, the structure of this tree is largely the result of the interactions that have been established throughout the intertwined history of the cellular and the viral worlds. We do not know how other possible biospheres outside our planet could be, but it is clear that viruses play an essential role in the terrestrial one. Therefore, they must be taken into account both to improve our understanding of life that we know, and to understand other possible lives that might exist in the cosmos.
C1 [de la Higuera, Ignacio] Portland State Univ, Ctr Life Extreme Environm, Dept Biol, Portland, OR 97207 USA.
[Lazaro, Ester] CSIC INTA, Ctr Astrobiol CAB, Torrejon De Ardoz, Spain.
RP Lázaro, E (corresponding author), CSIC INTA, Ctr Astrobiol CAB, Torrejon De Ardoz, Spain.
EM lazarole@cab.inta-csic.es
CR Abergel C, 2020, CURR BIOL, V30, pR1108, DOI 10.1016/j.cub.2020.08.055
Abrahao J, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03168-1
Abrescia NGA, 2012, ANNU REV BIOCHEM, V81, P795, DOI 10.1146/annurev-biochem-060910-095130
Abreu A, 2022, NAT MICROBIOL, V7, P937, DOI 10.1038/s41564-022-01145-5
Acevedo A, 2014, NATURE, V505, P686, DOI 10.1038/nature12861
Agudo R, 2016, VIROLOGY, V494, P257, DOI 10.1016/j.virol.2016.04.023
Agudo R, 2010, PLOS PATHOG, V6, DOI 10.1371/journal.ppat.1001072
ALTMAN S, 1989, ADV ENZYMOL RAMB, V62, P1
Anantharaman K, 2014, SCIENCE, V344, P757, DOI 10.1126/science.1252229
Ankrah NYD, 2014, ISME J, V8, P1089, DOI 10.1038/ismej.2013.216
[Anonymous], 2019, Astrobiology Strategy for the Search for Life in the Universe, DOI DOI 10.17226/25252
Arnaud F, 2008, CELL MOL LIFE SCI, V65, P3422, DOI 10.1007/s00018-008-8500-9
Baaske P, 2007, P NATL ACAD SCI USA, V104, P9346, DOI 10.1073/pnas.0609592104
Bai J, 2021, MICROBIOL SPECTR, V9, DOI [10.1128/Spectrum.02254-21, 10.1128/spectrum.02254-21]
BALTIMORE D, 1971, BACTERIOL REV, V35, P235, DOI 10.1128/MMBR.35.3.235-241.1971
Bamford DH, 2003, RES MICROBIOL, V154, P231, DOI 10.1016/S0923-2508(03)00065-2
Baquero DP, 2020, ADV VIRUS RES, V108, P127, DOI 10.1016/bs.aivir.2020.09.004
BARNARD CJ, 1984, J THEOR BIOL, V110, P27, DOI 10.1016/S0022-5193(84)80013-2
BASS BL, 1984, NATURE, V308, P820, DOI 10.1038/308820a0
Bataillon T, 2014, ANN NY ACAD SCI, V1320, P76, DOI 10.1111/nyas.12460
BATSCHELET E, 1976, GENE, V1, P27, DOI 10.1016/0378-1119(76)90004-4
BAYLOR ER, 1977, SCIENCE, V198, P575, DOI 10.1126/science.918656
Belhaouari DB, 2022, ELIFE, V11, DOI 10.7554/eLife.78674
Bell G, 2008, HEREDITY, V100, P441, DOI 10.1038/hdy.2008.19
Bell PJL, 2020, VIRUS RES, V289, DOI 10.1016/j.virusres.2020.198168
Benner SA, 2010, ASTROBIOLOGY, V10, P1021, DOI 10.1089/ast.2010.0524
Bennett J., 2022, Life in the Universe
Benson SD, 2004, MOL CELL, V16, P673, DOI 10.1016/j.molcel.2004.11.016
BERGH O, 1989, NATURE, V340, P467, DOI 10.1038/340467a0
Berliner AJ, 2018, ASTROBIOLOGY, V18, P207, DOI 10.1089/ast.2017.1649
Biebricher CK, 2006, CURR TOP MICROBIOL, V299, P1
Biebricher CK, 2005, VIRUS RES, V107, P117, DOI 10.1016/j.virusres.2004.11.002
Biebricher CK, 1997, BIOPHYS CHEM, V66, P179, DOI 10.1016/S0301-4622(97)00059-8
Boyd ES, 2013, FRONT MICROBIOL, V4, DOI 10.3389/fmicb.2013.00062
Breitbart M, 2005, TRENDS MICROBIOL, V13, P278, DOI 10.1016/j.tim.2005.04.003
Briones C, 2008, AIDS REV, V10, P93
Brum JR, 2015, SCIENCE, V348, DOI 10.1126/science.1261498
Brum JR, 2013, ISME J, V7, P1738, DOI 10.1038/ismej.2013.67
Brussaard CPD, 2004, J EUKARYOT MICROBIOL, V51, P125, DOI 10.1111/j.1550-7408.2004.tb00537.x
Buckheit RW, 2004, EXPERT OPIN INV DRUG, V13, P933, DOI 10.1517/13543784.13.8.933
Buckling A, 2012, ADV EXP MED BIOL, V751, P347, DOI 10.1007/978-1-4614-3567-9_16
Bull JJ, 2007, J VIROL, V81, P2930, DOI 10.1128/JVI.01624-06
Cabanillas L, 2014, J VIROL, V88, P10480, DOI 10.1128/JVI.00979-14
Carrasco P, 2007, J VIROL, V81, P12979, DOI 10.1128/JVI.00524-07
CASPAR DLD, 1956, NATURE, V177, P476, DOI 10.1038/177475a0
CASPAR DLD, 1962, COLD SPRING HARB SYM, V27, P1, DOI 10.1101/sqb.1962.027.001.005
Castelán-Sánchez HG, 2019, MAR GENOM, V46, P16, DOI 10.1016/j.margen.2019.03.001
Cervera H, 2016, J VIROL, V90, P10160, DOI 10.1128/JVI.01243-16
Chaikeeratisak V, 2017, SCIENCE, V355, P194, DOI 10.1126/science.aal2130
Chan MA, 2019, ASTROBIOLOGY, V19, P1075, DOI 10.1089/ast.2018.1903
Chapman HN, 2011, NATURE, V470, P73, DOI 10.1038/nature09750
CHAPMAN KB, 1994, CURR OPIN STRUC BIOL, V4, P618, DOI 10.1016/S0959-440X(94)90227-5
Cleland CE, 2019, ASTROBIOLOGY, V19, P722, DOI 10.1089/ast.2018.1980
Cleland CE, 2012, SYNTHESE, V185, P125, DOI 10.1007/s11229-011-9879-7
Cléry A, 2008, CURR OPIN STRUC BIOL, V18, P290, DOI 10.1016/j.sbi.2008.04.002
Cockell C.S., 2020, ASTROBIOLOGY UNDERST
Coffey LL, 2011, P NATL ACAD SCI USA, V108, P16038, DOI 10.1073/pnas.1111650108
COLE CN, 1975, PROG MED VIROL, V20, P180
Costello DA, 2015, J VIROL, V89, P350, DOI 10.1128/JVI.01927-14
CRICK FHC, 1956, NATURE, V177, P473, DOI 10.1038/177473a0
Cuevas JM, 2012, MOL BIOL EVOL, V29, P17, DOI 10.1093/molbev/msr179
Daly RA, 2019, NAT MICROBIOL, V4, P352, DOI 10.1038/s41564-018-0312-6
de la Higuera I, 2020, MBIO, V11, DOI 10.1128/mBio.01410-20
de Pablo PJ, 2022, CURR OPIN VIROL, V52, P112, DOI 10.1016/j.coviro.2021.11.006
De Paepe M, 2006, PLOS BIOL, V4, P1248, DOI 10.1371/journal.pbio.0040193
Dessau M, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003102
DiMaio F, 2015, SCIENCE, V348, P914, DOI 10.1126/science.aaa4181
Dix Douglas E., 2002, Yale Journal of Biology and Medicine, V75, P313
DOMINGO E, 1978, CELL, V13, P735, DOI 10.1016/0092-8674(78)90223-4
Domingo E, 2021, VIRUSES-BASEL, V13, DOI 10.3390/v13091882
Domingo-Calap P, 2011, EVOLUTION, V65, P2987, DOI 10.1111/j.1558-5646.2011.01339.x
Domingo-Calap P, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000742
Dominguez-Huerta G, 2022, SCIENCE, V376, P1202, DOI 10.1126/science.abn6358
Duffy S, 2008, NAT REV GENET, V9, P267, DOI 10.1038/nrg2323
Dupressoir A, 2011, P NATL ACAD SCI USA, V108, pE1164, DOI 10.1073/pnas.1112304108
Durzynska J, 2015, VIROL J, V12, DOI 10.1186/s12985-015-0400-7
Edgar RC, 2022, NATURE, V602, P142, DOI 10.1038/s41586-021-04332-2
EIGEN M, 1971, NATURWISSENSCHAFTEN, V58, P465, DOI 10.1007/BF00623322
EIGEN M, 1979, P92
Ekeberg T, 2015, PHYS REV LETT, V114, DOI 10.1103/PhysRevLett.114.098102
Elena SF, 2008, HEREDITY, V100, P478, DOI 10.1038/sj.hdy.6801088
Elena SF, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0441
Elena SF, 2001, INFECT GENET EVOL, V1, P151, DOI 10.1016/S1567-1348(01)00022-3
Emerson JB, 2018, NAT MICROBIOL, V3, P870, DOI 10.1038/s41564-018-0190-y
Feiner R, 2015, NAT REV MICROBIOL, V13, P641, DOI 10.1038/nrmicro3527
Feschotte C, 2008, NAT REV GENET, V9, P397, DOI 10.1038/nrg2337
Feschotte C, 2012, NAT REV GENET, V13, P283, DOI 10.1038/nrg3199
Filée J, 2005, TRENDS MICROBIOL, V13, P510, DOI 10.1016/j.tim.2005.08.012
Filée J, 2003, RES MICROBIOL, V154, P237, DOI 10.1016/S0923-2508(03)00066-4
Fischer MG, 2012, NAT REV MICROBIOL, V10, P78, DOI 10.1038/nrmicro2676-c1
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Forterre P, 2006, VIRUS RES, V117, P5, DOI 10.1016/j.virusres.2006.01.010
Forterre P, 2016, STUD HIST PHI PART C, V59, P100, DOI 10.1016/j.shpsc.2016.02.013
Forterre P, 2011, CR CHIM, V14, P392, DOI 10.1016/j.crci.2010.06.007
Forterre P, 2009, RES MICROBIOL, V160, P466, DOI 10.1016/j.resmic.2009.07.008
French RK, 2020, TRENDS MICROBIOL, V28, P165, DOI 10.1016/j.tim.2019.10.010
Fridman S, 2017, NAT MICROBIOL, V2, P1350, DOI 10.1038/s41564-017-0002-9
Fridmann-Sirkis Y, 2016, J VIROL, V90, P10039, DOI 10.1128/JVI.01319-16
Gabashvili E, 2022, MICROB ECOL, V84, P213, DOI 10.1007/s00248-021-01846-0
Gabashvili E, 2020, CURR MICROBIOL, V77, P185, DOI 10.1007/s00284-019-01817-2
Gago S, 2009, SCIENCE, V323, P1308, DOI 10.1126/science.1169202
Gallego I, 2020, J VIROL, V94, DOI 10.1128/JVI.01856-19
Gao LY, 2020, SCIENCE, V369, P1077, DOI 10.1126/science.aba0372
García-Descalzo L, 2019, MICROORGANISMS, V7, DOI 10.3390/microorganisms7090365
Garmann RF, 2019, P NATL ACAD SCI USA, V116, P22485, DOI 10.1073/pnas.1909223116
Geoghegan JL, 2018, GENETICS, V210, P1151, DOI 10.1534/genetics.118.301556
Gil JF, 2021, VIRUSES-BASEL, V13, DOI 10.3390/v13010081
Gilbert C, 2017, CURR OPIN VIROL, V25, P16, DOI 10.1016/j.coviro.2017.06.005
GILBERT W, 1986, NATURE, V319, P618, DOI 10.1038/319618a0
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Gobler CJ, 1997, LIMNOL OCEANOGR, V42, P1492, DOI 10.4319/lo.1997.42.7.1492
Grande-Pérez A, 2005, P NATL ACAD SCI USA, V102, P4448, DOI 10.1073/pnas.0408871102
Greenwood AD, 2018, MICROBIOL MOL BIOL R, V82, DOI 10.1128/MMBR.00044-17
Gregory AC, 2019, CELL, V177, P1109, DOI 10.1016/j.cell.2019.03.040
Griffin DW, 2013, ASTROBIOLOGY, V13, P774, DOI 10.1089/ast.2012.0959
Griffin DW., 2001, AEROBIOLOGIA, V17, P203, DOI [10.1023/A:1011868218901, DOI 10.1023/A:1011868218901]
Guidi L, 2016, NATURE, V532, P465, DOI 10.1038/nature16942
Hager AJ, 1996, CHEM BIOL, V3, P717, DOI 10.1016/S1074-5521(96)90246-X
Hampton HG, 2020, NATURE, V577, P327, DOI 10.1038/s41586-019-1894-8
Han Z, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2119439119
Hanson A, 2016, J VIROL, V90, P2981, DOI 10.1128/JVI.02790-15
Harris HMB, 2021, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.604048
Hays L.E., 2015, NASA Astrobiology Strategy Document
Hayward A, 2015, P NATL ACAD SCI USA, V112, P464, DOI 10.1073/pnas.1414980112
Hegde NR, 2009, NAT REV MICROBIOL, V7, P615, DOI 10.1038/nrmicro2108-c1
Hegedüs M, 2006, J PHOTOCH PHOTOBIO B, V82, P94, DOI 10.1016/j.jphotobiol.2005.09.002
Hendrix RW, 1999, P NATL ACAD SCI USA, V96, P2192, DOI 10.1073/pnas.96.5.2192
Higgs PG, 2015, NAT REV GENET, V16, P7, DOI 10.1038/nrg3841
HOLLAND J, 1982, SCIENCE, V215, P1577, DOI 10.1126/science.7041255
Holmes EC, 2004, PLOS BIOL, V2, P1267, DOI 10.1371/journal.pbio.0020307
Holmes EC, 2019, NAT REV MICROBIOL, V17, P329, DOI 10.1038/s41579-019-0168-7
Holmes EC, 2011, CELL HOST MICROBE, V10, P368, DOI 10.1016/j.chom.2011.09.002
Holmes EC, 2011, J VIROL, V85, P5247, DOI 10.1128/JVI.02203-10
Horneck G, 2010, MICROBIOL MOL BIOL R, V74, P121, DOI 10.1128/MMBR.00016-09
Howard-Varona C, 2020, ISME J, V14, P881, DOI 10.1038/s41396-019-0580-z
HUANG AS, 1973, ANNU REV MICROBIOL, V27, P101, DOI 10.1146/annurev.mi.27.100173.000533
Hughes JF, 2001, NAT GENET, V29, P487, DOI 10.1038/ng775
Hurwitz BL, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r123
Iranzo J, 2016, GENOME BIOL EVOL, V8, P2856, DOI 10.1093/gbe/evw193
Irwin NAT, 2022, NAT MICROBIOL, V7, P327, DOI 10.1038/s41564-021-01026-3
Iyer LM, 2005, NUCLEIC ACIDS RES, V33, P3875, DOI 10.1093/nar/gki702
Janzen E, 2020, CHEM REV, V120, P4879, DOI 10.1021/acs.chemrev.9b00620
Jiang W, 2017, CURR OPIN STRUC BIOL, V46, P122, DOI 10.1016/j.sbi.2017.07.002
Joyce GF, 2018, CSH PERSPECT BIOL, V10, DOI 10.1101/cshperspect.a034801
KACIAN DL, 1972, P NATL ACAD SCI USA, V69, P3038, DOI 10.1073/pnas.69.10.3038
Kaján GL, 2020, J MOL EVOL, V88, P41, DOI 10.1007/s00239-019-09913-4
Kaneko H, 2021, ISCIENCE, V24, DOI 10.1016/j.isci.2020.102002
Kawecki TJ, 2012, TRENDS ECOL EVOL, V27, P547, DOI 10.1016/j.tree.2012.06.001
Kazlauskas D, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11433-0
Kazlauskas D, 2016, NUCLEIC ACIDS RES, V44, P4551, DOI 10.1093/nar/gkw322
Koelle K, 2006, SCIENCE, V314, P1898, DOI 10.1126/science.1132745
KOIKE J, 1992, ADV SPACE RES-SERIES, V12, P271, DOI 10.1016/0273-1177(92)90182-W
Koonin EV, 2006, BIOL DIRECT, V1, DOI 10.1186/1745-6150-1-29
Koonin EV, 2022, CELL HOST MICROBE, V30, P917, DOI 10.1016/j.chom.2022.06.008
Koonin EV, 2021, MICROBIOL MOL BIOL R, V85, DOI 10.1128/MMBR.00193-20
Koonin EV, 2020, MICROBIOL MOL BIOL R, V84, DOI 10.1128/MMBR.00061-19
Koonin EV, 2020, NAT MICROBIOL, V5, P8, DOI 10.1038/s41564-019-0635-y
Koonin Eugene V, 2018, F1000Res, V7, DOI 10.12688/f1000research.16248.1
Koonin EV, 2017, BIOL DIRECT, V12, DOI 10.1186/s13062-017-0202-5
Koonin EV, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0442
Koonin EV, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2014.0333
Koonin EV, 2014, ANTON LEEUW INT J G, V106, P27, DOI 10.1007/s10482-014-0169-5
Koskella B, 2014, FEMS MICROBIOL REV, V38, P916, DOI 10.1111/1574-6976.12072
Krakauer DC, 2002, P ROY SOC B-BIOL SCI, V269, P2423, DOI 10.1098/rspb.2002.2127
Krishnamurthy SR, 2017, VIRUS RES, V239, P136, DOI 10.1016/j.virusres.2017.02.002
KRUGER K, 1982, CELL, V31, P147, DOI 10.1016/0092-8674(82)90414-7
Krupovic M, 2008, NAT REV MICROBIOL, V6, P941, DOI 10.1038/nrmicro2033
Krupovic M, 2019, NAT REV MICROBIOL, V17, P449, DOI 10.1038/s41579-019-0205-6
Krupovic M, 2017, P NATL ACAD SCI USA, V114, pE2401, DOI 10.1073/pnas.1621061114
Krupovic M, 2014, J VIROL, V88, P2354, DOI 10.1128/JVI.02941-13
La Scola B, 2003, SCIENCE, V299, P2033
Laber CP, 2018, NAT MICROBIOL, V3, P537, DOI 10.1038/s41564-018-0128-4
Laidler JR, 2013, J VIROL, V87, P13927, DOI 10.1128/JVI.02825-13
Laidler JR, 2010, ASTROBIOLOGY, V10, P569, DOI 10.1089/ast.2010.0463
Lázaro E, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26443-z
Lee KY, 2017, MOLECULES, V22, DOI 10.3390/molecules22040678
LEVISOHN R, 1969, P NATL ACAD SCI USA, V63, P805, DOI 10.1073/pnas.63.3.805
Lindell D, 2005, NATURE, V438, P86, DOI 10.1038/nature04111
Lindell D, 2004, P NATL ACAD SCI USA, V101, P11013, DOI 10.1073/pnas.0401526101
Lingam M., 2021, Sci. Am
[Logan N.A. K. M. Stedman A. Clore and Y. Combet4Blanc K. M. Stedman A. Clore and Y. Combet4Blanc], 2006, SGM-symposium-66: Prokaryotic-diversity:- mechanisms-and-significance, P131, DOI [10.1017/CBO9780511754913.009, DOI 10.1017/CBO9780511754913.009]
Maggiori C, 2020, ASTROBIOLOGY, V20, P375, DOI 10.1089/ast.2018.1964
Mann NH, 2003, NATURE, V424, P741, DOI 10.1038/424741a
Marais DJD, 2008, ASTROBIOLOGY, V8, P715, DOI 10.1089/ast.2008.0819
Marchesi A, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-92365-y
Márquez LM, 2007, SCIENCE, V315, P513, DOI 10.1126/science.1136237
Matsuura K, 2010, ANGEW CHEM INT EDIT, V49, P9662, DOI 10.1002/anie.201004606
McDonald MJ, 2019, EMBO REP, V20, DOI 10.15252/embr.201846992
McGee LW, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004611
Meents A, 2019, ANNU REV VIROL, V6, P161, DOI 10.1146/annurev-virology-092818-015724
MILLS DR, 1967, P NATL ACAD SCI USA, V58, P217, DOI 10.1073/pnas.58.1.217
Minicka J, 2017, BMC EVOL BIOL, V17, DOI 10.1186/s12862-017-0920-4
Mizuuchi R, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-29113-x
Mochizuki T, 2012, P NATL ACAD SCI USA, V109, P13386, DOI 10.1073/pnas.1203668109
Moreira D, 2009, NAT REV MICROBIOL, V7, P306, DOI 10.1038/nrmicro2108
Morowitz H, 2007, COMPLEXITY, V13, P51, DOI 10.1002/cplx.20191
Mougari S, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11080733
Muniesa M, 2011, MICROB BIOTECHNOL, V4, P725, DOI 10.1111/j.1751-7915.2011.00264.x
Munson-McGee JH, 2020, J VIROL, V94, DOI 10.1128/JVI.01213-19
Munson-McGee JH, 2018, ISME J, V12, P1706, DOI 10.1038/s41396-018-0071-7
Mushegian AR, 2020, J BACTERIOL, V202, DOI 10.1128/JB.00052-20
Navas-Castillo J, 2009, NAT REV MICROBIOL, V7, DOI 10.1038/nrmicro2108-c2
Neri U, 2022, CELL, V185, P4023, DOI 10.1016/j.cell.2022.08.023
Nielsen PE, 2007, CHEM BIODIVERS, V4, P1996, DOI 10.1002/cbdv.200790166
Nijhuis M., 2009, V189, P299, DOI 10.1007/978-3-540-79086-0_11
Nishida R, 2021, MICROB GENOMICS, V17, DOI 10.1099/mgen.0.000716
O'Rourke A, 2020, CURR ISSUES MOL BIOL, V38, P1, DOI 10.21775/cimb.038.001
Orange F, 2011, BIOGEOSCIENCES, V8, P1465, DOI 10.5194/bg-8-1465-2011
ORO J, 1990, ANNU REV EARTH PL SC, V18, P317
Pandey S, 2020, NAT METHODS, V17, P73, DOI 10.1038/s41592-019-0628-z
Penadés JR, 2015, CURR OPIN MICROBIOL, V23, P171, DOI 10.1016/j.mib.2014.11.019
Pérez-Losada M, 2015, INFECT GENET EVOL, V30, P296, DOI 10.1016/j.meegid.2014.12.022
Pfeiffer JK, 2003, P NATL ACAD SCI USA, V100, P7289, DOI 10.1073/pnas.1232294100
Pietilä MK, 2013, ENVIRON MICROBIOL, V15, P1674, DOI 10.1111/1462-2920.12030
Plunkett G, 1999, J BACTERIOL, V181, P1767, DOI 10.1128/JB.181.6.1767-1778.1999
Poorvin L, 2004, LIMNOL OCEANOGR, V49, P1734, DOI 10.4319/lo.2004.49.5.1734
Quakkelaar ED, 2007, VIROLOGY, V359, P92, DOI 10.1016/j.virol.2006.09.021
Quemin ERJ, 2015, J VIROL, V89, P11681, DOI 10.1128/JVI.02270-15
Rawn SM, 2008, ANNU REV CELL DEV BI, V24, P159, DOI 10.1146/annurev.cellbio.24.110707.175418
Reche I, 2018, ISME J, V12, P1154, DOI 10.1038/s41396-017-0042-4
Rezzonico F, 2014, ASTROBIOLOGY, V14, P344, DOI 10.1089/ast.2013.1120
Rice G, 2004, P NATL ACAD SCI USA, V101, P7716, DOI 10.1073/pnas.0401773101
Rodrigues RAL, 2020, ARCH VIROL, V165, P1267, DOI 10.1007/s00705-020-04626-2
Rosenzweig JB, 2020, NEW J PHYS, V22, DOI 10.1088/1367-2630/abb16c
Roux S, 2016, NATURE, V537, P689, DOI 10.1038/nature19366
Rowe HM, 2011, VIROLOGY, V411, P273, DOI 10.1016/j.virol.2010.12.007
Ruíz-Jarabo CM, 2002, J MOL BIOL, V315, P285, DOI 10.1006/jmbi.2001.5232
Russell MJ, 1997, J GEOL SOC LONDON, V154, P377, DOI 10.1144/gsjgs.154.3.0377
Säwström C, 2008, EXTREMOPHILES, V12, P167, DOI 10.1007/s00792-007-0134-6
Sanjuán R, 2004, P NATL ACAD SCI USA, V101, P8396, DOI 10.1073/pnas.0400146101
Sanjuán R, 2010, J VIROL, V84, P9733, DOI 10.1128/JVI.00694-10
Sankaran N, 2016, J MOL EVOL, V83, P169, DOI 10.1007/s00239-016-9767-3
Santos F, 2012, APPL ENVIRON MICROB, V78, P1635, DOI 10.1128/AEM.07175-11
Santos-Pérez I, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08927-2
Schulz F, 2017, SCIENCE, V356, P82, DOI 10.1126/science.aal4657
Seibert MM, 2011, NATURE, V470, P78, DOI 10.1038/nature09748
Sharma G, 2022, LIFE-BASEL, V12, DOI 10.3390/life12060774
Sharon I, 2007, ISME J, V1, P492, DOI 10.1038/ismej.2007.67
Shelford EJ, 2012, AQUAT MICROB ECOL, V66, P41, DOI 10.3354/ame01553
Shi M, 2016, NATURE, V540, P539, DOI 10.1038/nature20167
Shoemaker SC, 2018, BIOCHEMISTRY-US, V57, P277, DOI 10.1021/acs.biochem.7b01031
Smith PH, 2008, J GEOPHYS RES-PLANET, V113, DOI 10.1029/2008JE003083
Somovilla P, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23168876
Stanley SY, 2018, ANNU REV GENET, V52, P445, DOI 10.1146/annurev-genet-120417-031321
Starr EP, 2019, P NATL ACAD SCI USA, V116, P25900, DOI 10.1073/pnas.1908291116
Sullivan MB, 2017, ENV MICROBIOL REP, V9, P33, DOI 10.1111/1758-2229.12504
Sullivan MB, 2005, PLOS BIOL, V3, P790, DOI 10.1371/journal.pbio.0030144
Sunagawa S, 2020, NAT REV MICROBIOL, V18, P428, DOI 10.1038/s41579-020-0364-5
SUTTLE CA, 1994, MICROBIAL ECOL, V28, P237, DOI 10.1007/BF00166813
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Suzuki Y, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-77474-4
Swanson MM, 2009, ANN APPL BIOL, V155, P51, DOI 10.1111/j.1744-7348.2009.00319.x
SZATHMARY E, 1987, J THEOR BIOL, V128, P463, DOI 10.1016/S0022-5193(87)80191-1
SZATHMARY E, 1995, NATURE, V374, P227, DOI 10.1038/374227a0
Szathmáry E, 2015, P NATL ACAD SCI USA, V112, P10104, DOI 10.1073/pnas.1421398112
Szostak JW, 2017, ANGEW CHEM INT EDIT, V56, P11037, DOI 10.1002/anie.201704048
Szostak JW, 2012, J BIOMOL STRUCT DYN, V29, P599, DOI 10.1080/073911012010524998
Takemura M, 2020, FRONT MICROBIOL, V11, DOI 10.3389/fmicb.2020.571831
Thierauf Anne, 2009, V501, P267, DOI 10.1007/978-1-60327-164-6_23
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thomas E, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00068-21
TING CN, 1992, GENE DEV, V6, P1457, DOI 10.1101/gad.6.8.1457
Trubl G, 2018, MSYSTEMS, V3, DOI 10.1128/mSystems.00076-18
Trus BL, 2004, J VIROL, V78, P12668, DOI 10.1128/JVI.78.22.12668-12671.2004
Vaishampayan A, 2019, J BIOSCIENCES, V44, DOI 10.1007/s12038-019-9929-8
Vale PF, 2012, EVOLUTION, V66, P3495, DOI 10.1111/j.1558-5646.2012.01691.x
Van den Bergh B, 2018, MICROBIOL MOL BIOL R, V82, DOI 10.1128/MMBR.00008-18
Van Etten JL, 1999, ANNU REV MICROBIOL, V53, P447, DOI 10.1146/annurev.micro.53.1.447
Vignuzzi M, 2006, NATURE, V439, P344, DOI 10.1038/nature04388
Villarreal LP, 2010, J THEOR BIOL, V262, P698, DOI 10.1016/j.jtbi.2009.10.014
Vitas M, 2019, ORIGINS LIFE EVOL B, V49, P77, DOI 10.1007/s11084-019-09578-5
Waddell Thomas E., 2009, V501, P293, DOI 10.1007/978-1-60327-164-6_25
Wang FB, 2020, P NATL ACAD SCI USA, V117, P19643, DOI 10.1073/pnas.2011125117
Wang WQ, 2020, J VIROL, V94, DOI 10.1128/JVI.00684-20
Wasik BR, 2015, EVOLUTION, V69, P117, DOI 10.1111/evo.12544
Watson BNJ, 2021, CELL HOST MICROBE, V29, P715, DOI 10.1016/j.chom.2021.03.018
Weiss MC, 2016, NAT MICROBIOL, V1, DOI [10.1038/NMICROBIOL.2016.116, 10.1038/nmicrobiol.2016.116]
Weiss RA, 2017, CURR TOP MICROBIOL, V407, P1, DOI 10.1007/82_2017_21
Whitaker RJ, 2003, SCIENCE, V301, P976, DOI 10.1126/science.1086909
White RA, 2021, TRENDS MICROBIOL, V29, P204, DOI 10.1016/j.tim.2020.06.004
Whittington AC, 2019, J MOL EVOL, V87, P27, DOI 10.1007/s00239-018-9882-4
Wiedenheft B, 2004, J VIROL, V78, P1954, DOI 10.1128/JVI.78.4.1954-1961.2004
Wigington CH, 2016, NAT MICROBIOL, V1, DOI [10.1038/nmicrobiol.2015.24, 10.1038/NMICROBIOL.2015.24]
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
WOESE CR, 1990, P NATL ACAD SCI USA, V87, P4576, DOI 10.1073/pnas.87.12.4576
WOESE CR, 1987, MICROBIOL REV, V51, P221, DOI 10.1128/MMBR.51.2.221-271.1987
Woese CR, 2002, P NATL ACAD SCI USA, V99, P8742, DOI 10.1073/pnas.132266999
Wolf D, 2008, ANNU REV GENET, V42, P143, DOI 10.1146/annurev.genet.42.110807.091704
Wolf YI, 2020, NAT MICROBIOL, V5, P1262, DOI 10.1038/s41564-020-0755-4
Yang B, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2119415119
Yooseph S, 2010, NATURE, V468, P60, DOI 10.1038/nature09530
Yoshida-Takashima Y, 2012, APPL ENVIRON MICROB, V78, P1311, DOI 10.1128/AEM.06491-11
Yutin N, 2018, VIROL J, V15, DOI 10.1186/s12985-018-0974-y
Zablocki O, 2016, APPL ENVIRON MICROB, V82, P770, DOI 10.1128/AEM.02651-15
Zandi R, 2004, P NATL ACAD SCI USA, V101, P15556, DOI 10.1073/pnas.0405844101
Zayed AA, 2022, SCIENCE, V376, P156, DOI 10.1126/science.abm5847
Zhang YZ, 2018, CELL, V172, P1168, DOI 10.1016/j.cell.2018.02.043
Zhao LL, 2019, J VIROL, V93, DOI 10.1128/JVI.01385-18
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zheng LC, 2020, MICROORGANISMS, V8, DOI 10.3390/microorganisms8091429
Zimmerman AE, 2020, NAT REV MICROBIOL, V18, P21, DOI 10.1038/s41579-019-0270-x
NR 302
TC 8
Z9 8
PD OCT 26
PY 2022
VL 13
AR 1032918
DI 10.3389/fmicb.2022.1032918
UT WOS:000882389400001
DA 2025-07-30
ER
PT J
AU Pérez, MT
Rofner, C
Sommaruga, R
AF Perez, Maria Teresa
Rofner, Carina
Sommaruga, Ruben
TI Dissolved organic monomer partitioning among bacterial groups in two
oligotrophic lakes
SO ENVIRONMENTAL MICROBIOLOGY REPORTS
DT Article
AB Understanding how resource partitioning works among taxa is crucial in explaining coexistence and competition within a community. Here, we assessed resource partitioning among freshwater bacterial groups from two oligotrophic lakes using four types of organic substrates as compound models. Substrate uptake patterns were examined by microautoradiography combined with catalysed reporter deposition fluorescent in situ hybridization. Four large taxonomic groups were found in the lakes, but Actinobacteria (AcI lineage) and Betaproteobacteria (R-BTcluster) dominated the bacterial assemblage. Monomers containing nitrogen and/or phosphorus were preferred over the ones containing only carbon. All groups were able to incorporate amino acids, adenosine triphosphate and glucose. However, acetate was only taken up by approximate to 10-12% of bacteria, and its uptake was not detected in Cytophaga-Flavobacteria. Apart from acetate, the contribution of a particular bacterial group to the uptake of a substrate was proportional to its relative abundance. In both lakes, we detected substrate partitioning between AcIActinobacteria, which was overrepresented in glucose and acetate utilization, and R-BT Betaproteobacteria, which dominated amino acid uptake. Our results strongly point to physiological niche separation of those bacterial groups in alpine lakes.
C1 [Perez, Maria Teresa; Rofner, Carina; Sommaruga, Ruben] Univ Innsbruck, Inst Ecol, Lake & Glacier Res Grp, A-6020 Innsbruck, Austria.
RP Pérez, MT (corresponding author), Univ Innsbruck, Inst Ecol, Lake & Glacier Res Grp, Tech Str 25, A-6020 Innsbruck, Austria.
EM maria.perez@uibk.ac.at
CR Allgaier M, 2006, APPL ENVIRON MICROB, V72, P3489, DOI 10.1128/AEM.72.5.3489-3497.2006
Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Buck U, 2009, ENVIRON MICROBIOL, V11, P1854, DOI 10.1111/j.1462-2920.2009.01910.x
Burkert U, 2003, APPL ENVIRON MICROB, V69, P6550, DOI 10.1128/AEM.69.11.6550-6559.2003
Cherrier J, 1996, MAR ECOL PROG SER, V139, P267, DOI 10.3354/meps139267
Egli T, 2010, WATER RES, V44, P4826, DOI 10.1016/j.watres.2010.07.023
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
Garcia SL, 2013, ISME J, V7, P137, DOI 10.1038/ismej.2012.86
Glöckner FO, 2000, APPL ENVIRON MICROB, V66, P5053, DOI 10.1128/AEM.66.11.5053-5065.2000
Gómez-Consarnau L, 2012, ENVIRON MICROBIOL, V14, P2361, DOI 10.1111/j.1462-2920.2012.02804.x
Hahn MW, 2005, APPL ENVIRON MICROB, V71, P4539, DOI 10.1128/AEM.71.8.4539-4547.2005
Hornák K, 2006, AQUAT MICROB ECOL, V45, P277, DOI 10.3354/ame045277
Hornák K, 2010, AQUAT MICROB ECOL, V60, P215, DOI 10.3354/ame01425
Jezbera J, 2006, ENVIRON MICROBIOL, V8, P1330, DOI 10.1111/j.1462-2920.2006.01026.x
KIRCHMAN DL, 1991, NATURE, V352, P612, DOI 10.1038/352612a0
Kirchman DL., 2003, Aquatic Ecosystems: Interactivity of Dissolved Organic Matter, P217, DOI DOI 10.1016/B978-012256371-3/50010-X
Laurion I, 2000, LIMNOL OCEANOGR, V45, P1274, DOI 10.4319/lo.2000.45.6.1274
Longnecker K, 2010, ENVIRON MICROBIOL, V12, P2773, DOI 10.1111/j.1462-2920.2010.02247.x
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Methe BA, 1998, LIMNOL OCEANOGR, V43, P368, DOI 10.4319/lo.1998.43.2.0368
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Nagata T., 2008, Microbial Ecology of the Oceans, V2nd, P207, DOI [DOI 10.1002/9780470281840.CH7, 10.1002/9780470281840.ch7]
Perez MT, 2006, LIMNOL OCEANOGR, V51, P2527, DOI 10.4319/lo.2006.51.6.2527
Pérez MT, 2010, ENVIRON MICROBIOL, V12, P74, DOI 10.1111/j.1462-2920.2009.02043.x
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
PSENNER R, 1989, AQUAT SCI, V51, P108, DOI 10.1007/BF00879298
Salcher MM, 2008, ENVIRON MICROBIOL, V10, P2074, DOI 10.1111/j.1462-2920.2008.01628.x
Salcher MM, 2014, J LIMNOL, V73, P74, DOI 10.4081/jlimnol.2014.813
Salcher MM, 2013, ISME J, V7, P896, DOI 10.1038/ismej.2012.162
Salcher MM, 2010, LIMNOL OCEANOGR, V55, P846, DOI 10.4319/lo.2009.55.2.0846
Sempéré R, 2008, BIOGEOSCIENCES, V5, P1165, DOI 10.5194/bg-5-1165-2008
Simek K, 2005, APPL ENVIRON MICROB, V71, P2381, DOI 10.1128/AEM.71.5.2381-2390.2005
Simek K, 2006, ENVIRON MICROBIOL, V8, P1613, DOI 10.1111/j.1462-2920.2006.01053.x
Simek K, 2010, APPL ENVIRON MICROB, V76, P631, DOI 10.1128/AEM.02203-09
Skoog A, 1999, LIMNOL OCEANOGR, V44, P1625, DOI 10.4319/lo.1999.44.7.1625
Sommaruga R, 2001, J PHOTOCH PHOTOBIO B, V62, P35, DOI 10.1016/S1011-1344(01)00154-3
Pérez MT, 2011, AQUAT MICROB ECOL, V63, P161, DOI 10.3354/ame01505
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Warnecke F, 2005, APPL ENVIRON MICROB, V71, P5551, DOI 10.1128/AEM.71.9.5551-5559.2005
Zeng YH, 2012, J BACTERIOL, V194, P6302, DOI 10.1128/JB.01481-12
Zubkov MV, 2008, J PLANKTON RES, V30, P211, DOI 10.1093/plankt/fbm091
NR 44
TC 13
Z9 15
PD APR
PY 2015
VL 7
IS 2
BP 265
EP 272
DI 10.1111/1758-2229.12240
UT WOS:000351407300013
DA 2025-07-30
ER
PT J
AU Hoefman, S
van der Ha, D
De Vos, P
Boon, N
Heylen, K
AF Hoefman, Sven
van der Ha, David
De Vos, Paul
Boon, Nico
Heylen, Kim
TI Miniaturized extinction culturing is the preferred strategy for rapid
isolation of fast-growing methane-oxidizing bacteria
SO MICROBIAL BIOTECHNOLOGY
DT Article
AB Methane-oxidizing bacteria (MOB) have a large potential as a microbial sink for the greenhouse gas methane as well as for biotechnological purposes. However, their application in biotechnology has so far been hampered, in part due to the relative slow growth rate of the available strains. To enable the availability of novel strains, this study compares the isolation of MOB by conventional dilution plating with miniaturized extinction culturing, both performed after an initial enrichment step. The extinction approach rendered 22 MOB isolates from four environmental samples, while no MOB could be isolated by plating. In most cases, extinction culturing immediately yielded MOB monocultures making laborious purification redundant. Both type I (Methylomonas spp.) and type II (Methylosinus sp.) MOB were isolated. The isolated methanotrophic diversity represented at least 11 different strains and several novel species based on 16S rRNA gene sequence dissimilarity. These strains possessed the particulate (100%) and soluble (64%) methane monooxygenase gene. Also, 73% of the strains could be linked to a highly active fast-growing mixed MOB community. In conclusion, miniaturized extinction culturing was more efficient in rapidly isolating numerous MOB requiring little effort and fewer materials, compared with the more widely applied plating procedure. This miniaturized approach allowed straightforward isolation and could be very useful for subsequent screening of desired characteristics, in view of their future biotechnological potential.
C1 [Hoefman, Sven; De Vos, Paul; Heylen, Kim] Univ Ghent, Dept Biochem & Microbiol, Lab Microbiol, B-9000 Ghent, Belgium.
[van der Ha, David; Boon, Nico] Univ Ghent, Lab Microbial Ecol & Technol LabMET, B-9000 Ghent, Belgium.
[De Vos, Paul] BCCM LMG Culture Collect, B-9000 Ghent, Belgium.
RP Heylen, K (corresponding author), Univ Ghent, Dept Biochem & Microbiol, Lab Microbiol, KL Ledeganckstr 35, B-9000 Ghent, Belgium.
EM kim.heylen@ugent.be
CR [Anonymous], 2008, MOST PROBABLE NUMBER
Auman AJ, 2000, APPL ENVIRON MICROB, V66, P5259, DOI 10.1128/AEM.66.12.5259-5266.2000
Begonja A, 2001, FOOD TECHNOL BIOTECH, V39, P29
Bodelier PLE, 2005, FEMS MICROBIOL ECOL, V52, P163, DOI 10.1016/j.femsec.2004.11.004
BODROSSY L, 1995, APPL ENVIRON MICROB, V61, P3549, DOI 10.1128/AEM.61.10.3549-3555.1995
Bowman J, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 5, THIRD EDITION, P266, DOI 10.1007/0-387-30745-1_15
BOWMAN JP, 1993, APPL ENVIRON MICROB, V59, P2380, DOI 10.1128/AEM.59.8.2380-2387.1993
Brusseau GA, 1990, BIODEGRADATION, V1, P19, DOI 10.1007/BF00117048
Bussmann I, 2004, FEMS MICROBIOL ECOL, V47, P179, DOI 10.1016/S0168-6496(03)00260-5
Bussmann I, 2006, FEMS MICROBIOL ECOL, V56, P331, DOI 10.1111/j.1574-6941.2006.00076.x
BUTTON DK, 1993, APPL ENVIRON MICROB, V59, P881, DOI 10.1128/AEM.59.3.881-891.1993
Chen Y, 2007, ENVIRON MICROBIOL, V9, P2855, DOI 10.1111/j.1462-2920.2007.01401.x
Cole JR, 2005, NUCLEIC ACIDS RES, V33, pD294, DOI 10.1093/nar/gki038
Connon SA, 2002, APPL ENVIRON MICROB, V68, P3878, DOI 10.1128/AEM.68.8.3878-3885.2002
Costello AM, 1999, APPL ENVIRON MICROB, V65, P5066
Dalal RC, 2008, AUST J BOT, V56, P369, DOI 10.1071/BT07128
Dedysh SN, 2009, MICROBIOLOGY+, V78, P655, DOI 10.1134/S0026261709060010
Dedysh SN, 2004, INT J SYST EVOL MICR, V54, P151, DOI 10.1099/ijs.0.02805-0
Dedysh SN, 1998, SCIENCE, V282, P281, DOI 10.1126/science.282.5387.281
Dedysh SN, 2002, INT J SYST EVOL MICR, V52, P251, DOI 10.1099/00207713-52-1-251
Dedysh SN, 1998, APPL ENVIRON MICROB, V64, P922
Dedysh SN, 2005, J BACTERIOL, V187, P4665, DOI 10.1128/JB.187.13.4665-4670.2005
Dedysh SN, 2000, INT J SYST EVOL MICR, V50, P955, DOI 10.1099/00207713-50-3-955
Dedysh SN, 2007, INT J SYST EVOL MICR, V57, P472, DOI 10.1099/ijs.0.64623-0
Dianou D, 1999, FEMS MICROBIOL LETT, V173, P163, DOI 10.1111/j.1574-6968.1999.tb13498.x
Dunfield PF, 2003, INT J SYST EVOL MICR, V53, P1231, DOI 10.1099/ijs.0.02481-0
El Fantroussi S, 1999, APPL ENVIRON MICROB, V65, P982
Gebert J, 2006, WASTE MANAGE, V26, P399, DOI 10.1016/j.wasman.2005.11.007
Gevers D, 2001, FEMS MICROBIOL LETT, V205, P31, DOI 10.1016/S0378-1097(01)00439-6
Ghyselinck J, 2011, J MICROBIOL METH, V86, P327, DOI 10.1016/j.mimet.2011.06.004
Hanson RS, 1996, MICROBIOL REV, V60, P439, DOI 10.1128/MMBR.60.2.439-471.1996
Heyer J, 2005, INT J SYST EVOL MICR, V55, P1817, DOI 10.1099/ijs.0.63213-0
Heyrman J, 2001, SYST APPL MICROBIOL, V24, P417, DOI 10.1078/0723-2020-00048
Hutchens E, 2004, ENVIRON MICROBIOL, V6, P111, DOI 10.1046/j.1462-2920.2003.00543.x
Iguchi H, 2011, INT J SYST EVOL MICR, V61, P810, DOI 10.1099/ijs.0.019604-0
Janssen PH, 2002, APPL ENVIRON MICROB, V68, P2391, DOI 10.1128/AEM.68.5.2391-2396.2002
Jiang H, 2010, BIOCHEM ENG J, V49, P277, DOI 10.1016/j.bej.2010.01.003
KOH SC, 1993, APPL ENVIRON MICROB, V59, P960, DOI 10.1128/AEM.59.4.960-967.1993
Melse RW, 2005, ENVIRON SCI TECHNOL, V39, P5460, DOI 10.1021/es048048q
Miller DN, 2004, GEOMICROBIOL J, V21, P257, DOI 10.1080/01490450490438766
Muyzer G, 1998, ANTON LEEUW INT J G, V73, P127, DOI 10.1023/A:1000669317571
Nikiema J, 2005, CHEM ENG J, V113, P111, DOI 10.1016/j.cej.2005.04.005
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Scheutz C, 2009, WASTE MANAGE RES, V27, P409, DOI 10.1177/0734242X09339325
Schrader J, 2009, TRENDS BIOTECHNOL, V27, P107, DOI 10.1016/j.tibtech.2008.10.009
SCHUT F, 1993, APPL ENVIRON MICROB, V59, P2150, DOI 10.1128/AEM.59.7.2150-2160.1993
Semrau JD, 2010, FEMS MICROBIOL REV, V34, P496, DOI 10.1111/j.1574-6976.2010.00212.x
Shen RN, 1997, ARCH BIOCHEM BIOPHYS, V345, P223, DOI 10.1006/abbi.1997.0239
Song J, 2009, FEMS MICROBIOL LETT, V295, P141, DOI 10.1111/j.1574-6968.2009.01623.x
Songhen NL., 1906, ZENTR BAKT PARASITEN, V15, P513
Stackebrandt E., 2006, MICROBIOL TODAY, V8, P6
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Stingl U, 2007, ISME J, V1, P361, DOI 10.1038/ismej.2007.49
Stott MB, 2008, ENVIRON MICROBIOL, V10, P2030, DOI 10.1111/j.1462-2920.2008.01621.x
Svenning MM, 2003, FEMS MICROBIOL ECOL, V44, P347, DOI 10.1016/S0168-6496(03)00073-4
Tamaki H, 2009, ENVIRON MICROBIOL, V11, P1827, DOI 10.1111/j.1462-2920.2009.01907.x
Trotsenko YA, 2008, ADV APPL MICROBIOL, V63, P183, DOI 10.1016/S0065-2164(07)00005-6
Tsubota J, 2005, INT J SYST EVOL MICR, V55, P1877, DOI 10.1099/ijs.0.63691-0
Versalovic James, 1994, Methods in Molecular and Cellular Biology, V5, P25
Vorobev AV, 2011, INT J SYST EVOL MICR, V61, P2456, DOI 10.1099/ijs.0.028118-0
Wartiainen I, 2006, INT J SYST EVOL MICR, V56, P109, DOI 10.1099/ijs.0.63728-0
Wendlandt KD, 2010, ENG LIFE SCI, V10, P87, DOI 10.1002/elsc.200900093
WHITTENB.R, 1970, J GEN MICROBIOL, V61, P205, DOI 10.1099/00221287-61-2-205
Wise MG, 1999, APPL ENVIRON MICROB, V65, P4887
Zhang YX, 2008, J NAT GAS CHEM, V17, P103, DOI 10.1016/S1003-9953(08)60034-1
NR 65
TC 29
Z9 30
PD MAY
PY 2012
VL 5
IS 3
SI SI
BP 368
EP 378
DI 10.1111/j.1751-7915.2011.00314.x
UT WOS:000302858900006
DA 2025-07-30
ER
PT J
AU Wagner, M
Nielsen, PH
Loy, A
Nielsen, JL
Daims, H
AF Wagner, M
Nielsen, PH
Loy, A
Nielsen, JL
Daims, H
TI Linking microbial community structure with function:: fluorescence in
situ hybridization-microautoradiography and isotope arrays
SO CURRENT OPINION IN BIOTECHNOLOGY
DT Review
AB The ecophysiology of microorganisms has been at the heart of microbial ecology since its early days, but only during the past decade have methods become available for cultivation-independent, direct identification of microorganisms in complex communities and for the simultaneous investigation of their activity and substrate uptake patterns. The combination of fluorescence in situ hybridization (FISH) and microautoradiography (MAR) is currently the most widely applied tool for revealing physiological properties of microorganisms in their natural environment with single-cell resolution. For example, this technique has been used in wastewater treatment and marine systems to describe the functional properties of newly discovered species, and to identify microorganisms responsible for key physiological processes. Recently, the scope of FISH-MAR was extended by rendering it quantitative and by combining it with microelectrode measurements or stable isotope probing. Isotope arrays have also been developed that exploit the parallel detection offered by DNA microarrays to measure incorporation of labelled substrate into the rRNA of many community members in a single experiment.
C1 Univ Vienna, Dept Microbial Ecol, A-1090 Vienna, Austria.
Aalborg Univ, Dept Life Sci, DK-9000 Aalborg, Denmark.
RP Univ Vienna, Dept Microbial Ecol, Althanstr 14, A-1090 Vienna, Austria.
EM wagner@microbial-ecology.net
CR Adamczyk J, 2003, APPL ENVIRON MICROB, V69, P6875, DOI 10.1128/AEM.69.11.6875-6887.2003
Alonso C, 2005, APPL ENVIRON MICROB, V71, P1709, DOI 10.1128/AEM.71.4.1709-1716.2005
Amann R, 1996, J BACTERIOL, V178, P3496, DOI 10.1128/jb.178.12.3496-3500.1996
BOCK E, 1992, PROKARYOTES, P2302
Bruns A, 2003, APPL ENVIRON MICROB, V69, P1980, DOI 10.1128/AEM.69.4.1980-1989.2003
Chua ASM, 2004, WATER SCI TECHNOL, V50, P123, DOI 10.2166/wst.2004.0368
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
DAIRNS H, 2001, APPL ENVIRON MICROB, V67, P5273
DELONG EF, 1989, SCIENCE, V243, P1360, DOI 10.1126/science.2466341
Dumont MG, 2005, NAT REV MICROBIOL, V3, P499, DOI 10.1038/nrmicro1162
Eales K, 2005, ACTA HYDROCH HYDROB, V33, P203, DOI 10.1002/aheh.200400571
EIKELBOOM DH, 1975, WATER RES, V9, P365, DOI 10.1016/0043-1354(75)90182-7
FUHRMAN JA, 1992, NATURE, V356, P148, DOI 10.1038/356148a0
Gans J, 2005, SCIENCE, V309, P1387, DOI 10.1126/science.1112665
Gieseke A, 2005, ENVIRON MICROBIOL, V7, P1392, DOI 10.1111/j.1462-2920.2005.00826.x
Ginige MP, 2004, APPL ENVIRON MICROB, V70, P588, DOI 10.1128/AEM.70.1.588-596.2004
Gray ND, 2000, APPL ENVIRON MICROB, V66, P4518, DOI 10.1128/AEM.66.10.4518-4522.2000
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
Hesselsoe M, 2005, APPL ENVIRON MICROB, V71, P646, DOI 10.1128/AEM.71.2.646-655.2005
Karner MB, 2001, NATURE, V409, P507, DOI 10.1038/35054051
Kindaichi T, 2004, APPL ENVIRON MICROB, V70, P1641, DOI 10.1128/AEM.70.3.1641-1650.2004
Kjellerup BV, 2005, BIOFOULING, V21, P19, DOI 10.1080/08927010500070992
Klausen C, 2005, FEMS MICROBIOL ECOL, V52, P265, DOI 10.1016/j.femsec.2004.11.015
KONG Y, 2005, IN PRESS ENV MICROBI
Kong YH, 2005, APPL ENVIRON MICROB, V71, P4076, DOI 10.1128/AEM.71.7.4076-4085.2005
Kong YH, 2004, APPL ENVIRON MICROB, V70, P5383, DOI 10.1128/AEM.70.9.5383-5390.2004
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Koops H.-P., 2003, PROKARYOTES
Kragelund C, 2005, FEMS MICROBIOL ECOL, V54, P111, DOI 10.1016/j.femsec.2005.03.002
Lee N, 2003, SYST APPL MICROBIOL, V26, P211, DOI 10.1078/072320203322346065
Lee N, 1999, APPL ENVIRON MICROB, V65, P1289
Lehner A, 2005, FEMS MICROBIOL LETT, V246, P133, DOI 10.1016/j.femsle.2005.04.002
Loy A, 2005, APPL ENVIRON MICROB, V71, P1373, DOI 10.1128/AEM.71.3.1373-1386.2005
Loy A, 2002, APPL ENVIRON MICROB, V68, P5064, DOI 10.1128/AEM.68.10.5064-5081.2002
Loy A, 2004, APPL ENVIRON MICROB, V70, P6998, DOI 10.1128/AEM.70.12.6998-7009.2004
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Nielsen Jeppe Lund, 2003, Reviews in Environmental Science and Bio/Technology, V2, P261, DOI 10.1023/B:RESB.0000040464.52512.44
Nielsen JL, 2003, ENVIRON MICROBIOL, V5, P202, DOI 10.1046/j.1462-2920.2003.00402.x
Nielsen JL, 2005, METHOD ENZYMOL, V397, P237, DOI 10.1016/S0076-6879(05)97014-6
Nielsen JL, 2002, APPL ENVIRON MICROB, V68, P4629, DOI 10.1128/AEM.68.9.4629-4636.2002
Nielsen JL, 2003, APPL ENVIRON MICROB, V69, P641, DOI 10.1128/AEM.69.1.641-643.2003
NIELSEN JL, 2006, IN PRESS FEMS MICROB
NIELSEN PH, 2005, IN PRESS ACTA HYDROC
Nübel U, 2002, APPL ENVIRON MICROB, V68, P4593, DOI 10.1128/AEM.68.9.4593-4603.2002
Okabe S, 2005, APPL ENVIRON MICROB, V71, P3987, DOI 10.1128/AEM.71.7.3987-3994.2005
Ouverney CC, 2000, APPL ENVIRON MICROB, V66, P4829, DOI 10.1128/AEM.66.11.4829-4833.2000
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Philippot L, 2005, CURR OPIN MICROBIOL, V8, P234, DOI 10.1016/j.mib.2005.04.003
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Rosselló-Mora R, 2003, EXTREMOPHILES, V7, P409, DOI 10.1007/s00792-003-0336-5
Schmid MC, 2005, APPL ENVIRON MICROB, V71, P1677, DOI 10.1128/AEM.71.4.1677-1684.2005
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
Thomsen TR, 2004, ENVIRON MICROBIOL, V6, P470, DOI 10.1111/j.1462-2920.2004.00580.x
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Wagner M, 2004, ASM NEWS, V70, P63
Wagner M, 2002, CURR OPIN BIOTECH, V13, P218, DOI 10.1016/S0958-1669(02)00315-4
WAGNER M, 1994, SYST APPL MICROBIOL, V17, P405, DOI 10.1016/S0723-2020(11)80058-5
NR 60
TC 143
Z9 172
PD FEB
PY 2006
VL 17
IS 1
BP 83
EP 91
DI 10.1016/j.copbio.2005.12.006
UT WOS:000235775200013
DA 2025-07-30
ER
PT J
AU Gómez-Consarnau, L
Lindh, MV
Gasol, JM
Pinhassi, J
AF Gomez-Consarnau, Laura
Lindh, Markus V.
Gasol, Josep M.
Pinhassi, Jarone
TI Structuring of bacterioplankton communities by specific dissolved
organic carbon compounds
SO ENVIRONMENTAL MICROBIOLOGY
DT Article
AB The main role of microorganisms in the cycling of the bulk dissolved organic carbon pool in the ocean is well established. Nevertheless, it remains unclear if particular bacteria preferentially utilize specific carbon compounds and whether such compounds have the potential to shape bacterial community composition. Enrichment experiments in the Mediterranean Sea, Baltic Sea and the North Sea (Skagerrak) showed that different low-molecular-weight organic compounds, with a proven importance for the growth of marine bacteria (e.g. amino acids, glucose, dimethylsulphoniopropionate, acetate or pyruvate), in most cases differentially stimulated bacterial growth. Denaturing gradient gel electrophoresis fingerprints and 16S rRNA gene sequencing revealed that some bacterial phylotypes that became abundant were highly specific to enrichment with specific carbon compounds (e.g. Acinetobacter sp. B1-A3 with acetate or Psychromonas sp. B3-U1 with glucose). In contrast, other phylotypes increased in relative abundance in response to enrichment with several, or all, of the investigated carbon compounds (e.g. Neptuniibacter sp. M2-A4 with acetate, pyruvate and dimethylsulphoniopropionate, and Thalassobacter sp. M3-A3 with pyruvate and amino acids). Furthermore, different carbon compounds triggered the development of unique combinations of dominant phylotypes in several of the experiments. These results suggest that bacteria differ substantially in their abilities to utilize specific carbon compounds, with some bacteria being specialists and others having a more generalist strategy. Thus, changes in the supply or composition of the dissolved organic carbon pool can act as selective forces structuring bacterioplankton communities.
C1 [Gomez-Consarnau, Laura; Lindh, Markus V.; Pinhassi, Jarone] Linnaeus Univ, Sch Nat Sci, Kalmar, Sweden.
[Gasol, Josep M.] CSIC, Inst Ciencies Mar, Barcelona, Catalonia, Spain.
RP Pinhassi, J (corresponding author), Linnaeus Univ, Sch Nat Sci, Kalmar, Sweden.
EM jarone.pinhassi@lnu.se
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Allison SD, 2008, P NATL ACAD SCI USA, V105, P11512, DOI 10.1073/pnas.0801925105
Alonso C, 2006, APPL ENVIRON MICROB, V72, P2141, DOI 10.1128/AEM.72.3.2141-2147.2006
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2012, LIMNOL OCEANOGR, V57, P798, DOI 10.4319/lo.2012.57.3.0798
Boström KH, 2004, LIMNOL OCEANOGR-METH, V2, P365, DOI 10.4319/lom.2004.2.365
Comte J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025266
Covert JS, 2001, AQUAT MICROB ECOL, V25, P127, DOI 10.3354/ame025127
Eilers H, 2000, APPL ENVIRON MICROB, V66, P4634, DOI 10.1128/AEM.66.11.4634-4640.2000
Elifantz H, 2005, APPL ENVIRON MICROB, V71, P7799, DOI 10.1128/AEM.71.12.7799-7805.2005
Fernandez AS, 2000, APPL ENVIRON MICROB, V66, P4058, DOI 10.1128/AEM.66.9.4058-4067.2000
Fuchs BM, 2000, ENVIRON MICROBIOL, V2, P191, DOI 10.1046/j.1462-2920.2000.00092.x
FUHRMAN JA, 1987, MAR ECOL PROG SER, V37, P45, DOI 10.3354/meps037045
Gasol JM, 2000, SCI MAR, V64, P197, DOI 10.3989/scimar.2000.64n2197
Giovannoni SJ, 2005, SCIENCE, V309, P1242, DOI 10.1126/science.1114057
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Hansell DA., 2002, BIOGEOCHEMISTRY MARI, P685, DOI DOI 10.1016/B978-012323841-2/50017-8
Ho TY, 2002, LIMNOL OCEANOGR, V47, P1119, DOI 10.4319/lo.2002.47.4.1119
Hopkinson BM, 2012, ENVIRON MICROBIOL, V14, P114, DOI 10.1111/j.1462-2920.2011.02539.x
Howard EC, 2006, SCIENCE, V314, P649, DOI 10.1126/science.1130657
Judd KE, 2006, ECOLOGY, V87, P2068, DOI 10.1890/0012-9658(2006)87[2068:VIDOMC]2.0.CO;2
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman DL, 2004, AQUAT MICROB ECOL, V35, P243, DOI 10.3354/ame035243
Kirchman DL., 2003, Aquatic Ecosystems: Interactivity of Dissolved Organic Matter, P217, DOI DOI 10.1016/B978-012256371-3/50010-X
Kisand V, 2002, APPL ENVIRON MICROB, V68, P379, DOI 10.1128/AEM.68.1.379-388.2002
Konstantinidis KT, 2009, P NATL ACAD SCI USA, V106, P15909, DOI 10.1073/pnas.0902000106
Kujawinski EB, 2011, ANNU REV MAR SCI, V3, P567, DOI 10.1146/annurev-marine-120308-081003
Langenheder S, 2005, LIMNOL OCEANOGR, V50, P957, DOI 10.4319/lo.2005.50.3.0957
Lauro FM, 2009, P NATL ACAD SCI USA, V106, P15527, DOI 10.1073/pnas.0903507106
Lekunberri I, 2012, MAR ECOL PROG SER, V448, P23, DOI 10.3354/meps09480
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Muyzer G., 1998, MOL MICROBIAL ECOLOG, P1
Newton RJ, 2010, ISME J, V4, P784, DOI 10.1038/ismej.2009.150
Obernosterer I, 1999, AQUAT MICROB ECOL, V20, P147, DOI 10.3354/ame020147
Oksanen J., 2010, Vegan: Community ecology package
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P3094, DOI 10.1128/AEM.68.6.3094-3101.2002
Pinhassi J, 2004, APPL ENVIRON MICROB, V70, P6753, DOI 10.1128/AEM.70.11.6753-6766.2004
Pinhassi J, 2003, APPL ENVIRON MICROB, V69, P199, DOI 10.1128/AEM.69.1.199-211.2003
POSTMA PW, 1976, BIOCHIM BIOPHYS ACTA, V457, P213, DOI 10.1016/0304-4157(76)90001-0
Rich JH, 1996, LIMNOL OCEANOGR, V41, P595, DOI 10.4319/lo.1996.41.4.0595
Schauer M, 2003, AQUAT MICROB ECOL, V31, P163, DOI 10.3354/ame031163
Shade A, 2011, ENVIRON MICROBIOL, V13, P2752, DOI 10.1111/j.1462-2920.2011.02546.x
Simó R, 2002, LIMNOL OCEANOGR, V47, P53, DOI 10.4319/lo.2002.47.1.0053
Simó R, 2009, AQUAT MICROB ECOL, V57, P43, DOI 10.3354/ame01325
Skoog A, 1999, LIMNOL OCEANOGR, V44, P1625, DOI 10.4319/lo.1999.44.7.1625
Smith David C., 1992, Marine Microbial Food Webs, V6, P107
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
SUTTLE CA, 1991, MAR ECOL PROG SER, V70, P189, DOI 10.3354/meps070189
Teira E, 2004, APPL ENVIRON MICROB, V70, P4411, DOI 10.1128/AEM.70.7.4411-4414.2004
TOWNER KJ, 1991, FEMS SYMP, V57, P1
Vila M, 2004, APPL ENVIRON MICROB, V70, P4648, DOI 10.1128/AEM.70.8.4648-4657.2004
Vila-Costa M, 2006, ENVIRON MICROBIOL, V8, P2189, DOI 10.1111/j.1462-2920.2006.01102.x
Zubkov MV, 2008, J PLANKTON RES, V30, P211, DOI 10.1093/plankt/fbm091
ZWEIFEL UL, 1993, MAR ECOL PROG SER, V101, P23, DOI 10.3354/meps101023
NR 62
TC 115
Z9 129
PD SEP
PY 2012
VL 14
IS 9
SI SI
BP 2361
EP 2378
DI 10.1111/j.1462-2920.2012.02804.x
UT WOS:000308300600010
DA 2025-07-30
ER
PT J
AU Vergin, KL
Done, B
Carlson, CA
Giovannoni, SJ
AF Vergin, Kevin L.
Done, Brad
Carlson, Craig A.
Giovannoni, Stephen J.
TI Spatiotemporal distributions of rare bacterioplankton populations
indicate adaptive strategies in the oligotrophic ocean
SO AQUATIC MICROBIAL ECOLOGY
DT Article
AB Spatiotemporal distributions of rare microbial taxa were examined in 384 samples from the Bermuda Atlantic Time-series Study (BATS) site, in the northwestern Sargasso Sea. Sequences were partitioned into 6 mutually exclusive sets based on abundance (abundant, rare, and very rare) and frequency of detection (frequent and infrequent). Analyses of variance for taxa that were frequently present, across all levels of abundance, demonstrated environmental filtering, indicating that gradients in environmental factors, such as season and depth, drive community assembly for rare taxa, as they do for abundant taxa. All abundant nodal taxonomic units (NTUs) had spatiotemporal periods of rarity, providing a clear demonstration of the role of fluctuating reproductive success in population dynamics, and the role of rare populations as seed banks. An inverse relationship between the number of rare taxa and physical stratification indicates that transport by mixing drives increased community diversity throughout most of the year. Populations of selected copiotrophic taxa varied in episodic patterns that were not tightly entrained to season and depth, indicating that these populations are not governed by the same rules of community assembly that apply to most other taxa and may be adapted to exploit infrequent, unknown disturbances. Overall, the findings support the perspective that the success of most rare populations was driven by the same fundamental patterns of spatiotemporal variation that drove the success of dominant populations, but also indicate potentially important roles for transport by mixing and atypical life histories in determination of community composition.
C1 [Vergin, Kevin L.; Done, Brad; Giovannoni, Stephen J.] Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
[Carlson, Craig A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA 93106 USA.
RP Giovannoni, SJ (corresponding author), Oregon State Univ, Dept Microbiol, Corvallis, OR 97331 USA.
EM steve.giovannoni@oregonstate.edu
CR [Anonymous], 2010, DIVERSITY-BASEL, DOI [DOI 10.3390/d2020207, 10.3390/d2020207]
[Anonymous], APPL ENV MICROBIOL
BAUMANN L, 1972, J BACTERIOL, V110, P402, DOI 10.1128/JB.110.1.402-429.1972
Behrenfeld MJ, 2010, ECOLOGY, V91, P977, DOI 10.1890/09-1207.1
Brinkmeyer R, 2003, APPL ENVIRON MICROB, V69, P6610, DOI 10.1128/AEM.69.11.6610-6619.2003
Brown MV, 2005, ENVIRON MICROBIOL, V7, P1466, DOI 10.1111/j.1462-2920.2005.00835.x
Campbell BJ, 2011, P NATL ACAD SCI USA, V108, P12776, DOI 10.1073/pnas.1101405108
Caporaso JG, 2012, ISME J, V6, P1089, DOI 10.1038/ismej.2011.162
Carini P, 2013, ISME J, V7, P592, DOI 10.1038/ismej.2012.122
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 2002, AQUAT MICROB ECOL, V30, P19, DOI 10.3354/ame030019
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CHAO A, 1984, SCAND J STAT, V11, P265
Chao A., 2010, PROGRAM SPADE SPECIE
Chapin FS, 2000, NATURE, V405, P234, DOI 10.1038/35012241
Clarke KR., 2006, PRIMER VERSION 7 USE
Daims H, 1999, SYST APPL MICROBIOL, V22, P434, DOI 10.1016/S0723-2020(99)80053-8
DuRand MD, 2001, DEEP-SEA RES PT II, V48, P1983, DOI 10.1016/S0967-0645(00)00166-1
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
EPPLEY RW, 1979, NATURE, V282, P677, DOI 10.1038/282677a0
Fuhrman JA, 2006, P NATL ACAD SCI USA, V103, P13104, DOI 10.1073/pnas.0602399103
Fuhrman JA, 2009, NATURE, V459, P193, DOI 10.1038/nature08058
Galand PE, 2009, P NATL ACAD SCI USA, V106, P22427, DOI 10.1073/pnas.0908284106
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
Giovannoni SJ, 2012, SCIENCE, V335, P671, DOI 10.1126/science.1198078
Glasby TM, 1996, ENVIRON MONIT ASSESS, V42, P241, DOI 10.1007/BF00414371
Gordon DA, 1996, APPL ENVIRON MICROB, V62, P1171, DOI 10.1128/AEM.62.4.1171-1177.1996
Horner-Devine MC, 2006, ECOLOGY, V87, pS100, DOI 10.1890/0012-9658(2006)87[100:PCAOIB]2.0.CO;2
Hugoni M, 2013, P NATL ACAD SCI USA, V110, P6004, DOI 10.1073/pnas.1216863110
Jost L, 2006, OIKOS, V113, P363, DOI 10.1111/j.2006.0030-1299.14714.x
KEDDY PA, 1992, J VEG SCI, V3, P157, DOI 10.2307/3235676
Koeppel AF, 2013, NUCLEIC ACIDS RES, V41, P5175, DOI 10.1093/nar/gkt241
Laghdass M, 2012, MICROB ECOL, V63, P324, DOI 10.1007/s00248-011-9915-7
Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504
Letunic I, 2011, NUCLEIC ACIDS RES, V39, pW475, DOI [10.1093/nar/gkr201, 10.1093/nar/gkr931]
López-Pérez M, 2012, SCI REP-UK, V2, DOI 10.1038/srep00696
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Matsen FA, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-538
McCarren J, 2010, P NATL ACAD SCI USA, V107, P16420, DOI 10.1073/pnas.1010732107
MENZEL DW, 1960, DEEP-SEA RES, V6, P351
Mills MM, 2008, LIMNOL OCEANOGR, V53, P824, DOI 10.4319/lo.2008.53.2.0824
Morin PJ, 2004, OIKOS, V104, P458, DOI 10.1111/j.0030-1299.2004.13256.x
Morris JJ, 2012, MBIO, V3, DOI 10.1128/mBio.00036-12
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Morris RM, 2005, LIMNOL OCEANOGR, V50, P1687, DOI 10.4319/lo.2005.50.5.1687
Morris RM, 2004, APPL ENVIRON MICROB, V70, P2836, DOI 10.1128/AEM.70.5.2836-2842.2004
Müller AH, 2011, ANAL BIOCHEM, V419, P271, DOI 10.1016/j.ab.2011.08.028
Naeem S, 1997, NATURE, V390, P507, DOI 10.1038/37348
Neef A, 1998, MICROBIOL-UK, V144, P3257, DOI 10.1099/00221287-144-12-3257
Nelson CE, 2012, ENVIRON MICROBIOL, V14, P1500, DOI 10.1111/j.1462-2920.2012.02738.x
Nicholson DP, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2010JC006856
Pedrós-Alió C, 2006, TRENDS MICROBIOL, V14, P257, DOI 10.1016/j.tim.2006.04.007
Pedrós-Alió C, 2012, ANNU REV MAR SCI, V4, P449, DOI 10.1146/annurev-marine-120710-100948
Prosser JI, 2007, NAT REV MICROBIOL, V5, P384, DOI 10.1038/nrmicro1643
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
SPRINTALL J, 1992, J GEOPHYS RES-OCEANS, V97, P7305, DOI 10.1029/92JC00407
STALEY JT, 1985, ANNU REV MICROBIOL, V39, P321, DOI 10.1146/annurev.mi.39.100185.001541
Steinberg DK, 2001, DEEP-SEA RES PT II, V48, P1405, DOI 10.1016/S0967-0645(00)00148-X
Straza TRA, 2010, LIMNOL OCEANOGR, V55, P2526, DOI 10.4319/lo.2010.55.6.2526
Sun J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023973
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Suzuki MT, 1997, APPL ENVIRON MICROB, V63, P983, DOI 10.1128/AEM.63.3.983-989.1997
Treusch AH, 2012, ISME J, V6, P481, DOI 10.1038/ismej.2011.117
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Ulitzur S, 1974, MICROB ECOL, V1, P127, DOI 10.1007/BF02512384
Vergin KL, 2013, ISME J, V7, P1322, DOI 10.1038/ismej.2013.32
Wittebolle L, 2009, NATURE, V458, P623, DOI 10.1038/nature07840
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
NR 72
TC 82
Z9 92
PY 2013
VL 71
IS 1
BP 1
EP U129
DI 10.3354/ame01661
UT WOS:000327552900001
DA 2025-07-30
ER
PT J
AU Castillo, DJ
Dithugoe, CD
Bezuidt, OK
Makhalanyane, TP
AF Castillo, Diego J.
Dithugoe, Choaro D.
Bezuidt, Oliver K.
Makhalanyane, Thulani P.
TI Microbial ecology of the Southern Ocean
SO FEMS MICROBIOLOGY ECOLOGY
DT Review
AB The Southern Ocean (SO) distributes climate signals and nutrients worldwide, playing a pivotal role in global carbon sequestration. Microbial communities are essential mediators of primary productivity and carbon sequestration, yet we lack a comprehensive understanding of microbial diversity and functionality in the SO. Here, we examine contemporary studies in this unique polar system, focusing on prokaryotic communities and their relationships with other trophic levels (i.e. phytoplankton and viruses). Strong seasonal variations and the characteristic features of this ocean are directly linked to community composition and ecosystem functions. Specifically, we discuss characteristics of SO microbial communities and emphasise differences from the Arctic Ocean microbiome. We highlight the importance of abundant bacteria in recycling photosynthetically derived organic matter. These heterotrophs appear to control carbon flux to higher trophic levels when light and iron availability favour primary production in spring and summer. Conversely, during winter, evidence suggests that chemolithoautotrophs contribute to prokaryotic production in Antarctic waters. We conclude by reviewing the effects of climate change on marine microbiota in the SO.
C1 [Castillo, Diego J.; Dithugoe, Choaro D.; Bezuidt, Oliver K.; Makhalanyane, Thulani P.] Univ Pretoria, Dept Biochem Genet & Microbiol, Microbiome Res Grp, ZA-0028 Pretoria, South Africa.
[Castillo, Diego J.; Dithugoe, Choaro D.; Bezuidt, Oliver K.; Makhalanyane, Thulani P.] Univ Pretoria, Dept Sci, ZA-0028 Pretoria, South Africa.
[Castillo, Diego J.; Dithugoe, Choaro D.; Bezuidt, Oliver K.; Makhalanyane, Thulani P.] Univ Pretoria, Innovat South African Res Chair Marine Microbiom, Dept Biochem Genet & Microbiol, ZA-0028 Pretoria, South Africa.
RP Makhalanyane, TP (corresponding author), Univ Pretoria, Dept Biochem Genet & Microbiol, Microbiome Res Grp, ZA-0028 Pretoria, South Africa.; Makhalanyane, TP (corresponding author), Univ Pretoria, Dept Sci, ZA-0028 Pretoria, South Africa.; Makhalanyane, TP (corresponding author), Univ Pretoria, Innovat South African Res Chair Marine Microbiom, Dept Biochem Genet & Microbiol, ZA-0028 Pretoria, South Africa.
EM thulani.makhalanyane@up.ac.za
CR Abirami B, 2021, SCI TOTAL ENVIRON, V791, DOI 10.1016/j.scitotenv.2021.147905
Agogué H, 2011, MOL ECOL, V20, P258, DOI 10.1111/j.1365-294X.2010.04932.x
Alarcón-Schumacher T, 2021, MSYSTEMS, V6, DOI 10.1128/mSystems.00396-21
Alonso C, 2006, ENVIRON MICROBIOL, V8, P2022, DOI 10.1111/j.1462-2920.2006.01082.x
Alonso-Sáez L, 2012, P NATL ACAD SCI USA, V109, P17989, DOI 10.1073/pnas.1201914109
Amin SA, 2015, NATURE, V522, P98, DOI 10.1038/nature14488
Arístegui J, 2002, SCIENCE, V298, P1967, DOI 10.1126/science.1076746
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Arrieta JM, 2004, LIMNOL OCEANOGR, V49, P799, DOI 10.4319/lo.2004.49.3.0799
Arrigo KR, 1999, SCIENCE, V283, P365, DOI 10.1126/science.283.5400.365
Arteaga LA, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19157-2
Auger M, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22318-6
Baldwin AJ, 2005, AQUAT MICROB ECOL, V41, P91, DOI 10.3354/ame041091
Baltar F, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043105
Barbraud C, 2012, MAR ECOL PROG SER, V454, P285, DOI 10.3354/meps09616
Biggs TEG, 2021, ISME J, V15, P3615, DOI 10.1038/s41396-021-01033-6
Blain S, 2007, NATURE, V446, P1070, DOI 10.1038/nature05700
Boyd PW, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2011JC007726
Boyd PW, 2010, NAT GEOSCI, V3, P675, DOI [10.1038/NGEO964, 10.1038/ngeo964]
Boyd PW, 2022, LIMNOL OCEANOGR, V67, P1911, DOI 10.1002/lno.12175
Boyd PW, 2002, J PHYCOL, V38, P844, DOI 10.1046/j.1529-8817.2002.t01-1-01203.x
Boyd PW, 2000, NATURE, V407, P695, DOI 10.1038/35037500
Breitbart M, 2012, ANNU REV MAR SCI, V4, P425, DOI 10.1146/annurev-marine-120709-142805
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Browning TJ, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21122-6
Brum JR, 2016, ISME J, V10, P437, DOI 10.1038/ismej.2015.125
Buma AGJ, 2001, J PHYCOL, V37, P200, DOI 10.1046/j.1529-8817.2001.037002200.x
Carter L, 2009, DEV EARTH ENV SCI, V8, P85, DOI 10.1016/S1571-9197(08)00004-9
Cavan EL, 2019, AQUAT MICROB ECOL, V82, P111, DOI 10.3354/ame01889
Cavanagh RD, 2021, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.615214
Cavicchioli R, 2019, NAT REV MICROBIOL, V17, P569, DOI 10.1038/s41579-019-0222-5
Cavicchioli R, 2015, NAT REV MICROBIOL, V13, P691, DOI 10.1038/nrmicro3549
Chapman CC, 2020, NAT CLIM CHANGE, V10, P209, DOI 10.1038/s41558-020-0705-4
Christaki U, 2014, BIOGEOSCIENCES, V11, P6739, DOI 10.5194/bg-11-6739-2014
Christaki U, 2021, LIMNOL OCEANOGR, V66, P108, DOI 10.1002/lno.11591
Constable AJ, 2014, GLOBAL CHANGE BIOL, V20, P3004, DOI 10.1111/gcb.12623
Cram JA, 2015, ISME J, V9, P563, DOI 10.1038/ismej.2014.153
Danovaro R, 2011, FEMS MICROBIOL REV, V35, P993, DOI 10.1111/j.1574-6976.2010.00258.x
DEACON GER, 1982, DEEP-SEA RES, V29, P1, DOI 10.1016/0198-0149(82)90058-9
DEBAAR HJW, 1995, NATURE, V373, P412, DOI 10.1038/373412a0
Debeljak P, 2019, ENVIRON MICROBIOL, V21, P2360, DOI 10.1111/1462-2920.14621
del Giorgio PA, 2002, NATURE, V420, P379, DOI 10.1038/nature01165
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
Delmont TO, 2015, FRONT MICROBIOL, V6, DOI 10.3389/fmicb.2015.01090
Deppeler S, 2020, BIOGEOSCIENCES, V17, P4153, DOI 10.5194/bg-17-4153-2020
Deppeler SL, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00040
DeVries A.L., 2005, PHYSL POLAR FISHES, V22, P1, DOI [DOI 10.1016/S1546-5098(04)22001-5, 10.1016/S1546-5098(04)22001-5]
DeVries T, 2017, NATURE, V542, P215, DOI 10.1038/nature21068
DeVries T, 2014, GLOBAL BIOGEOCHEM CY, V28, P631, DOI 10.1002/2013GB004739
Dlugosch L, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28128-8
ELSAYED SZ, 1988, COMP BIOCHEM PHYS B, V90, P489, DOI 10.1016/0305-0491(88)90287-8
Evans C, 2012, APPL ENVIRON MICROB, V78, P6741, DOI 10.1128/AEM.01388-12
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Flombaum P, 2013, P NATL ACAD SCI USA, V110, P9824, DOI 10.1073/pnas.1307701110
Forcada J, 2009, GLOBAL CHANGE BIOL, V15, P1618, DOI 10.1111/j.1365-2486.2009.01909.x
Fourquez M, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00256
Freer JJ, 2019, DIVERS DISTRIB, V25, P1259, DOI 10.1111/ddi.12934
Fripiat F, 2021, NAT GEOSCI, V14, P855, DOI 10.1038/s41561-021-00836-8
Frölicher TL, 2015, J CLIMATE, V28, P862, DOI 10.1175/JCLI-D-14-00117.1
Fuhrman JA, 1999, NATURE, V399, P541, DOI 10.1038/21119
Fuhrman JA, 2015, NAT REV MICROBIOL, V13, P133, DOI 10.1038/nrmicro3417
Ghiglione JF, 2012, ENVIRON MICROBIOL, V14, P617, DOI 10.1111/j.1462-2920.2011.02601.x
Ghiglione JF, 2012, P NATL ACAD SCI USA, V109, P17633, DOI 10.1073/pnas.1208160109
Giebel HA, 2009, ENVIRON MICROBIOL, V11, P2164, DOI 10.1111/j.1462-2920.2009.01942.x
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Gilbert JA, 2011, ANNU REV MAR SCI, V3, P347, DOI 10.1146/annurev-marine-120709-142811
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Gowing MM, 2004, MAR ECOL PROG SER, V279, P3, DOI 10.3354/meps279003
Grébert T, 2018, P NATL ACAD SCI USA, V115, pE2010, DOI 10.1073/pnas.1717069115
Grzymski JJ, 2012, ISME J, V6, P1901, DOI 10.1038/ismej.2012.31
Hall JA, 2001, DEEP-SEA RES PT II, V48, P2591, DOI 10.1016/S0967-0645(01)00010-8
Hancock AM, 2020, ECOL EVOL, V10, P4495, DOI 10.1002/ece3.6205
Henley SF, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00581
Herndl GJ, 2013, NAT GEOSCI, V6, P718, DOI [10.1038/ngeo1921, 10.1038/NGEO1921]
Hörstmann C, 2021, BIOGEOSCIENCES, V18, P3733, DOI 10.5194/bg-18-3733-2021
Honjo S, 2004, ANTARCT SCI, V16, P501, DOI 10.1017/S0954102004002287
Hwang J, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2010GB003802
Ibarbalz FM, 2019, CELL, V179, P1084, DOI 10.1016/j.cell.2019.10.008
Iida T, 2014, POLAR SCI, V8, P283, DOI 10.1016/j.polar.2014.03.003
Iudicone D, 2008, J PHYS OCEANOGR, V38, P1401, DOI 10.1175/2007JPO3525.1
Jamieson RE, 2012, FEMS MICROBIOL ECOL, V80, P452, DOI 10.1111/j.1574-6941.2012.01313.x
Jang JY, 2022, SCI TOTAL ENVIRON, V822, DOI 10.1016/j.scitotenv.2022.153360
Jiao NZ, 2011, APPL ENVIRON MICROB, V77, P7439, DOI 10.1128/AEM.05640-11
Jiao NZ, 2011, NAT REV MICROBIOL, V9, DOI 10.1038/nrmicro2386-c5
Jorgensen L, 2014, GEOPHYS RES LETT, V41, P2481, DOI 10.1002/2014GL059428
Kalanetra KM, 2009, ENVIRON MICROBIOL, V11, P2434, DOI 10.1111/j.1462-2920.2009.01974.x
Kirchman DL, 2009, NAT REV MICROBIOL, V7, P451, DOI 10.1038/nrmicro2115
Kitidis V, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049095
Kranzler CF, 2021, NAT GEOSCI, V14, P231, DOI 10.1038/s41561-021-00711-6
Ladau J, 2013, ISME J, V7, P1669, DOI 10.1038/ismej.2013.37
Lambert S, 2021, ENVIRON MICROBIOL, V23, P2592, DOI 10.1111/1462-2920.15482
Landa M, 2018, FEMS MICROBIOL ECOL, V94, DOI 10.1093/femsec/fiy034
Landa M, 2016, ISME J, V10, P39, DOI 10.1038/ismej.2015.105
Lannuzel D, 2008, MAR CHEM, V108, P85, DOI 10.1016/j.marchem.2007.10.006
Lara E, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1602565
Laufkötter C, 2018, GEOPHYS RES LETT, V45, P13377, DOI 10.1029/2018GL079797
Le Quéré C, 2007, SCIENCE, V316, P1735, DOI 10.1126/science.1136188
Lechtenfeld OJ, 2014, GEOCHIM COSMOCHIM AC, V126, P321, DOI 10.1016/j.gca.2013.11.009
LEDYARD KM, 1993, ARCH MICROBIOL, V160, P312, DOI 10.1007/BF00292083
Legendre L, 2015, PROG OCEANOGR, V134, P432, DOI 10.1016/j.pocean.2015.01.008
Lencina-Avila JM, 2018, DEEP-SEA RES PT II, V149, P193, DOI 10.1016/j.dsr2.2017.10.018
Leprich DJ, 2021, ISME J, V15, P2043, DOI 10.1038/s41396-021-00903-3
Letunic I, 2021, NUCLEIC ACIDS RES, V49, pW293, DOI 10.1093/nar/gkab301
Li DH, 2015, BIOINFORMATICS, V31, P1674, DOI 10.1093/bioinformatics/btv033
Liu Y, 2020, ENVIRON MICROBIOL, V22, P3968, DOI 10.1111/1462-2920.15184
Liu Y, 2019, ENVIRON MICROBIOL, V21, P1452, DOI 10.1111/1462-2920.14579
Lo Giudice A, 2019, SPR POLAR SCI, P109, DOI 10.1007/978-3-030-02786-5_6
Lonborg C, 2018, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00436
Luria CM, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01731
Luria CM, 2014, AQUAT MICROB ECOL, V73, P107, DOI 10.3354/ame01703
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Manganelli M, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006941
Mangoni O, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0176033
Marinov I, 2006, NATURE, V441, P964, DOI 10.1038/nature04883
MARTIN JH, 1988, NATURE, V331, P341, DOI 10.1038/331341a0
Meier WN, 2014, REV GEOPHYS, V52, P185, DOI 10.1002/2013RG000431
Middelboe M, 2017, VIRUSES-BASEL, V9, DOI 10.3390/v9100302
Milici M, 2017, LIMNOL OCEANOGR, V62, P1080, DOI 10.1002/lno.10487
Mioni CE, 2005, AQUAT MICROB ECOL, V41, P233, DOI 10.3354/ame041233
MITCHELL BG, 1991, LIMNOL OCEANOGR, V36, P1662, DOI 10.4319/lo.1991.36.8.1662
Moore JK, 2018, SCIENCE, V359, P1139, DOI 10.1126/science.aao6379
Moore JK, 2000, J GEOPHYS RES-OCEANS, V105, P28709, DOI 10.1029/1999JC000043
Moore JK, 2002, J MARINE SYST, V37, P69, DOI 10.1016/S0924-7963(02)00196-3
Moreau S, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16931-0
Morley SA, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.547188
Mueller AJ, 2021, ISME J, V15, P732, DOI 10.1038/s41396-020-00809-6
Munro DR, 2015, GEOPHYS RES LETT, V42, P7623, DOI 10.1002/2015GL065194
Núñez-Pons L, 2018, MAR DRUGS, V16, DOI 10.3390/md16090336
O'Brien J., 2022, ISME Communications, V2, P1
Obernosterer I, 2008, DEEP-SEA RES PT II, V55, P777, DOI 10.1016/j.dsr2.2007.12.005
Obernosterer I, 2011, LIMNOL OCEANOGR, V56, P2391, DOI 10.4319/lo.2011.56.6.2391
Oliver JL, 2004, LIMNOL OCEANOGR, V49, P2129, DOI 10.4319/lo.2004.49.6.2129
ORSI AH, 1995, DEEP-SEA RES PT I, V42, P641, DOI 10.1016/0967-0637(95)00021-W
PEDUZZI P, 1993, LIMNOL OCEANOGR, V38, P1562, DOI 10.4319/lo.1993.38.7.1562
Phoma BS, 2021, MICROB ECOL, V81, P396, DOI 10.1007/s00248-020-01589-4
Phoma S, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-28939-0
Pitchford JW, 1999, J PLANKTON RES, V21, P525, DOI 10.1093/plankt/21.3.525
Poulton AJ, 2007, DEEP-SEA RES PT II, V54, P2085, DOI 10.1016/j.dsr2.2007.06.005
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Quéguiner B, 2013, DEEP-SEA RES PT II, V90, P43, DOI 10.1016/j.dsr2.2012.07.024
Raes EJ, 2018, P NATL ACAD SCI USA, V115, pEB266, DOI 10.1073/pnas.1719335115
Reinthaler T, 2010, DEEP-SEA RES PT II, V57, P1572, DOI 10.1016/j.dsr2.2010.02.023
Rembauville M, 2017, J GEOPHYS RES-OCEANS, V122, P8278, DOI 10.1002/2017JC013067
Richert I, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2641
Rodhouse PGK, 2013, DEEP-SEA RES PT II, V95, P129, DOI 10.1016/j.dsr2.2012.07.001
Roemmich D, 2015, NAT CLIM CHANGE, V5, P240, DOI [10.1038/NCLIMATE2513, 10.1038/nclimate2513]
Rohwer F, 2009, NATURE, V459, P207, DOI 10.1038/nature08060
Royo-Llonch M, 2021, NAT MICROBIOL, V6, P1561, DOI 10.1038/s41564-021-00979-9
Sarmiento JL, 2004, NATURE, V427, P56, DOI 10.1038/nature02127
Shi JR, 2018, J CLIMATE, V31, P7459, DOI 10.1175/JCLI-D-18-0170.1
Shindell DT, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL020724
Signori CN, 2014, FRONT MICROBIOL, V5, DOI 10.3389/fmicb.2014.00647
Simon M, 2004, LIMNOL OCEANOGR, V49, P1035, DOI 10.4319/lo.2004.49.4.1035
Simon M, 2012, AQUAT MICROB ECOL, V68, P13, DOI 10.3354/ame01597
Sow SLS, 2022, ENVIRON MICROBIOL, V24, P2449, DOI 10.1111/1462-2920.15906
Steindler L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019725
Sullivan MB, 2017, ENV MICROBIOL REP, V9, P33, DOI 10.1111/1758-2229.12504
Sun Y, 2021, ISME J, V15, P2933, DOI 10.1038/s41396-021-00973-3
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suttle CA, 2007, NAT REV MICROBIOL, V5, P801, DOI 10.1038/nrmicro1750
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Talley L. D., 2011, Descriptive physical oceanography: an introduction
Thomas MK, 2012, SCIENCE, V338, P1085, DOI 10.1126/science.1224836
Tolar BB, 2016, ISME J, V10, P2605, DOI 10.1038/ismej.2016.61
Tonelli M, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.636226
Toseland A, 2013, NAT CLIM CHANGE, V3, P979, DOI 10.1038/NCLIMATE1989
Trathan PN, 2007, PHILOS T R SOC B, V362, P2351, DOI 10.1098/rstb.2006.1953
Tremblay L, 2015, BIOGEOSCIENCES, V12, P607, DOI 10.5194/bg-12-607-2015
Trenberth KE, 2016, J CLIMATE, V29, P7495, DOI 10.1175/JCLI-D-16-0339.1
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Uetake J, 2020, P NATL ACAD SCI USA, V117, P13275, DOI 10.1073/pnas.2000134117
Uitz J, 2010, LIMNOL OCEANOGR, V55, P2317, DOI 10.4319/lo.2010.55.6.2317
van der Merwe P, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00332
van Heuven SMAC, 2014, PHILOS T R SOC A, V372, DOI 10.1098/rsta.2013.0056
Venables H, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005361
Venables HJ, 2007, DEEP-SEA RES PT II, V54, P1949, DOI 10.1016/j.dsr2.2007.06.014
Warwick-Dugdale J, 2019, VIROL J, V16, DOI 10.1186/s12985-019-1120-1
Wei W, 2022, ISME J, V16, P1668, DOI 10.1038/s41396-022-01224-9
Weimerskirch H, 2003, ANTARCT SCI, V15, P249, DOI 10.1017/S0954102003001202
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
Weinbauer MG, 2004, ENVIRON MICROBIOL, V6, P1, DOI 10.1046/j.1462-2920.2003.00539.x
West NJ, 2008, ENVIRON MICROBIOL, V10, P738, DOI 10.1111/j.1462-2920.2007.01497.x
WHITWORTH T, 1987, J GEOPHYS RES-OCEANS, V92, P6462, DOI 10.1029/JC092iC06p06462
Wietz M, 2015, ENVIRON MICROBIOL, V17, P3822, DOI 10.1111/1462-2920.12842
Wilkins D, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3457
Wilkins D, 2013, FEMS MICROBIOL REV, V37, P303, DOI 10.1111/1574-6976.12007
Williams NL, 2015, MAR CHEM, V174, P147, DOI 10.1016/j.marchem.2015.06.015
Williams TJ, 2013, ENVIRON MICROBIOL, V15, P1302, DOI 10.1111/1462-2920.12017
Williams TJ, 2012, ISME J, V6, P1883, DOI 10.1038/ismej.2012.28
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Worden AZ, 2015, SCIENCE, V347, DOI 10.1126/science.1257594
Zhang CL, 2018, NATL SCI REV, V5, P481, DOI 10.1093/nsr/nwy074
Zhang R, 2021, CURR ISSUES MOL BIOL, V41, P357, DOI 10.21775/cimb.041.357
Zhang WP, 2020, MICROBIOME, V8, DOI [10.1186/s40168-020-00826-9, 10.3390/microorganisms8060953]
Zhao Y, 2020, SCI TOTAL ENVIRON, V698, DOI 10.1016/j.scitotenv.2019.134316
NR 197
TC 13
Z9 13
PD OCT 26
PY 2022
VL 98
IS 11
AR fiac123
DI 10.1093/femsec/fiac123
EA OCT 2022
UT WOS:000874067600001
DA 2025-07-30
ER
PT S
AU Kujawinski, EB
AF Kujawinski, Elizabeth B.
BE Carlson, CA
Giovannoni, SJ
TI The Impact of Microbial Metabolism on Marine Dissolved Organic Matter
SO ANNUAL REVIEW OF MARINE SCIENCE, VOL 3
SE Annual Review of Marine Science
DT Review; Book Chapter
AB Microbes mediate global biogeochemical cycles through their metabolism, and all metabolic processes begin with the interaction between the microbial cell wall or membrane and the external environment. For all heterotrophs and many autotrophs, critical growth substrates and factors are present within the dilute and heterogeneous mixture of compounds that constitutes dissolved organic matter (DOM). In short, the microbe molecule interaction is one of the fundamental reactions within the global carbon cycle. Here, I summarize recent findings from studies that examine DOM microbe interactions from either the DOM perspective (organic geochemistry) or the microbe perspective (microbial ecology). Gaps in our knowledge are highlighted and future integrative research directions are proposed.
C1 Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
RP Kujawinski, EB (corresponding author), Woods Hole Oceanog Inst, Dept Marine Chem & Geochem, Woods Hole, MA 02543 USA.
EM ekujawinski@whoi.edu
CR Allers E, 2007, ENVIRON MICROBIOL, V9, P2417, DOI 10.1111/j.1462-2920.2007.01360.x
Alonso-Sáez L, 2007, APPL ENVIRON MICROB, V73, P3528, DOI 10.1128/AEM.02627-06
Alonso-Sáez L, 2007, AQUAT MICROB ECOL, V46, P43, DOI 10.3354/ame046043
Alonso-Sáez L, 2009, J PLANKTON RES, V31, P1373, DOI 10.1093/plankt/fbp081
Aluwihare LI, 1997, NATURE, V387, P166, DOI 10.1038/387166a0
Aluwihare LI, 1999, MAR ECOL PROG SER, V186, P105, DOI 10.3354/meps186105
AMON RMW, 1994, NATURE, V369, P549, DOI 10.1038/369549a0
Arístegui J, 2009, LIMNOL OCEANOGR, V54, P1501, DOI 10.4319/lo.2009.54.5.1501
Armbrust EV, 2004, SCIENCE, V306, P79, DOI 10.1126/science.1101156
Arnosti C, 2005, AQUAT MICROB ECOL, V38, P135, DOI 10.3354/ame038135
Arnosti C., 2003, Aquatic Ecosystems, P316
Azam F, 2004, SCIENCE, V303, P1622, DOI 10.1126/science.1093892
AZAM F, 1983, MAR ECOL PROG SER, V10, P257, DOI 10.3354/meps010257
Azam F, 2007, NAT REV MICROBIOL, V5, P782, DOI 10.1038/nrmicro1747
Banning EC, 2010, FEMS MICROBIOL ECOL, V73, P254, DOI 10.1111/j.1574-6941.2010.00897.x
Barofsky A, 2010, J PLANKTON RES, V32, P263, DOI 10.1093/plankt/fbp121
Barofsky A, 2009, LIMNOL OCEANOGR-METH, V7, P382, DOI 10.4319/lom.2009.7.382
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Benner R., 2002, Biogeochemistry of Marine Dissolved Organic Matter, P5990, DOI DOI 10.1016/B978-012323841-2/50005-1
Berg GM, 2006, AQUAT MICROB ECOL, V42, P215, DOI 10.3354/ame042215
Bertilsson S., 2003, Aquatic Ecosystems, Interactivity of Dissolved Organic Matter, DOI DOI 10.1016/B978-012256371-3/50002-0
Brown MV, 2009, ISME J, V3, P1374, DOI 10.1038/ismej.2009.86
Buchan A, 2005, APPL ENVIRON MICROB, V71, P5665, DOI 10.1128/AEM.71.10.5665-5677.2005
Buesseler KO, 2009, LIMNOL OCEANOGR, V54, P1210, DOI 10.4319/lo.2009.54.4.1210
Carlson C., 2002, BIOGEOCHEMISTRY MARI, P91, DOI DOI 10.1016/B978-012323841-2/50006-3
Carlson CA, 2004, LIMNOL OCEANOGR, V49, P1073, DOI 10.4319/lo.2004.49.4.1073
Carlson CA, 2009, ISME J, V3, P283, DOI 10.1038/ismej.2008.117
CARON DA, 1985, MAR ECOL PROG SER, V24, P243, DOI 10.3354/meps024243
Cherrier J, 1999, LIMNOL OCEANOGR, V44, P730, DOI 10.4319/lo.1999.44.3.0730
Cherrier J, 2004, AQUAT MICROB ECOL, V35, P229, DOI 10.3354/ame035229
Collier JL, 2009, ENVIRON MICROBIOL, V11, P3118, DOI 10.1111/j.1462-2920.2009.02016.x
Covert JS, 2001, AQUAT MICROB ECOL, V25, P127, DOI 10.3354/ame025127
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dittmar T, 2008, LIMNOL OCEANOGR-METH, V6, P230, DOI 10.4319/lom.2008.6.230
Dittmar T, 2009, NAT GEOSCI, V2, P175, DOI 10.1038/NGEO440
Dyhrman ST, 2009, NAT GEOSCI, V2, P696, DOI 10.1038/NGEO639
Elifantz H, 2007, AQUAT MICROB ECOL, V50, P39, DOI 10.3354/ame01145
Findlay SEG, 2003, LIMNOL OCEANOGR, V48, P1608, DOI 10.4319/lo.2003.48.4.1608
Follows MJ, 2007, SCIENCE, V315, P1843, DOI 10.1126/science.1138544
Foreman C.M., 2003, AQUATIC ECOSYSTEMS I, P343, DOI [DOI 10.1016/B978-012256371-3/50015-9, 10.1016/B978-012256371-3/50015-9]
Frias-Lopez J, 2008, P NATL ACAD SCI USA, V105, P3805, DOI 10.1073/pnas.0708897105
FUHRMAN JA, 1987, MAR ECOL PROG SER, V37, P45, DOI 10.3354/meps037045
Fuhrman JA, 2008, AQUAT MICROB ECOL, V53, P69, DOI 10.3354/ame01222
Fuhrman JA, 2008, P NATL ACAD SCI USA, V105, P7774, DOI 10.1073/pnas.0803070105
Gasol JM, 2008, AQUAT MICROB ECOL, V53, P21, DOI 10.3354/ame01230
Gianoulis TA, 2009, P NATL ACAD SCI USA, V106, P1374, DOI 10.1073/pnas.0808022106
Glöckner FO, 2003, P NATL ACAD SCI USA, V100, P8298, DOI 10.1073/pnas.1431443100
Gobler CJ, 1997, LIMNOL OCEANOGR, V42, P1492, DOI 10.4319/lo.1997.42.7.1492
González JM, 2003, INT J SYST EVOL MICR, V53, P1261, DOI 10.1099/ijs.0.02491-0
Gonzalez JM, 1996, APPL ENVIRON MICROB, V62, P4433
González JM, 2008, P NATL ACAD SCI USA, V105, P8724, DOI 10.1073/pnas.0712027105
Gram L, 2002, APPL ENVIRON MICROB, V68, P4111, DOI 10.1128/AEM.68.8.4111-4116.2002
Granum E, 2002, MAR ECOL PROG SER, V242, P83, DOI 10.3354/meps242083
Grossart HP, 2007, AQUAT MICROB ECOL, V47, P163, DOI 10.3354/ame047163
Gruber DF, 2006, APPL ENVIRON MICROB, V72, P4184, DOI 10.1128/AEM.02882-05
Hallam SJ, 2006, P NATL ACAD SCI USA, V103, P18296, DOI 10.1073/pnas.0608549103
Haruta S, 2009, ENVIRON MICROBIOL, V11, P2963, DOI 10.1111/j.1462-2920.2009.01956.x
Höfle MG, 2008, AQUAT MICROB ECOL, V53, P39, DOI 10.3354/ame01227
Hopkinson CS, 2005, NATURE, V433, P142, DOI 10.1038/nature03191
HOPPE HG, 1988, APPL ENVIRON MICROB, V54, P784, DOI 10.1128/AEM.54.3.784-790.1988
Ingalls AE, 2006, P NATL ACAD SCI USA, V103, P6442, DOI 10.1073/pnas.0510157103
Ito Y, 2005, LIMNOL OCEANOGR, V50, P1918, DOI 10.4319/lo.2005.50.6.1918
Kawasaki N, 2006, LIMNOL OCEANOGR, V51, P2170, DOI 10.4319/lo.2006.51.5.2170
KEIL RG, 1993, LIMNOL OCEANOGR, V38, P1256, DOI 10.4319/lo.1993.38.6.1256
Kim S, 2003, ORG GEOCHEM, V34, P1325, DOI 10.1016/S0146-6380(03)00101-3
Kirchman D.L., 2003, Aquatic ecosystems: interactivity of dissolved organic matter, P218
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kujawinski EB, 2004, MAR CHEM, V92, P23, DOI 10.1016/j.marchem.2004.06.038
Kujawinski EB, 2009, GEOCHIM COSMOCHIM AC, V73, P4384, DOI 10.1016/j.gca.2009.04.033
Langenheder S, 2005, LIMNOL OCEANOGR, V50, P957, DOI 10.4319/lo.2005.50.3.0957
Langenheder S, 2006, APPL ENVIRON MICROB, V72, P212, DOI 10.1128/AEM.72.1.212-220.2006
Lau WWY, 2006, ENVIRON MICROBIOL, V8, P1688, DOI 10.1111/j.1462-2920.2006.01092.x
Lee C, 2004, AMBIO, V33, P565, DOI 10.1639/0044-7447(2004)033[0565:POMITS]2.0.CO;2
Lennon JT, 2007, APPL ENVIRON MICROB, V73, P2799, DOI 10.1128/AEM.02674-06
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Marañón E, 2004, LIMNOL OCEANOGR, V49, P1652, DOI 10.4319/lo.2004.49.5.1652
McBride MJ, 2009, APPL ENVIRON MICROB, V75, P6864, DOI 10.1128/AEM.01495-09
McCarthy MD, 1998, SCIENCE, V281, P231, DOI 10.1126/science.281.5374.231
Moore LR, 2002, LIMNOL OCEANOGR, V47, P989, DOI 10.4319/lo.2002.47.4.0989
Mopper K, 2007, CHEM REV, V107, P419, DOI 10.1021/cr050359b
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris JJ, 2008, APPL ENVIRON MICROB, V74, P4530, DOI 10.1128/AEM.02479-07
Morris RM, 2010, ISME J, V4, P673, DOI 10.1038/ismej.2010.4
Mou XZ, 2008, NATURE, V451, P708, DOI 10.1038/nature06513
Mou XZ, 2007, ENVIRON MICROBIOL, V9, P2025, DOI 10.1111/j.1462-2920.2007.01318.x
Nagata T, 2003, LIMNOL OCEANOGR, V48, P745, DOI 10.4319/lo.2003.48.2.0745
NAGATA T, 1990, MAR ECOL PROG SER, V68, P1, DOI 10.3354/meps068001
NAGATA T, 1992, MAR ECOL PROG SER, V83, P233, DOI 10.3354/meps083233
Nagata T., 2008, Microbial Ecology of the Oceans, V2nd, P207, DOI [DOI 10.1002/9780470281840.CH7, 10.1002/9780470281840.ch7]
Ogawa H, 2001, SCIENCE, V292, P917, DOI 10.1126/science.1057627
Ouverney CC, 2000, APPL ENVIRON MICROB, V66, P4829, DOI 10.1128/AEM.66.11.4829-4833.2000
Palenik B, 2003, NATURE, V424, P1037, DOI 10.1038/nature01943
Palenik B, 2006, P NATL ACAD SCI USA, V103, P13555, DOI 10.1073/pnas.0602963103
Pantoja S, 1999, MAR CHEM, V63, P273, DOI 10.1016/S0304-4203(98)00067-X
Pantoja S, 1997, MAR CHEM, V57, P25, DOI 10.1016/S0304-4203(97)00003-0
Penn K, 2009, ISME J, V3, P1193, DOI 10.1038/ismej.2009.58
Pinhassi J, 1999, AQUAT MICROB ECOL, V17, P13, DOI 10.3354/ame017013
Poretsky RS, 2010, ENVIRON MICROBIOL, V12, P616, DOI 10.1111/j.1462-2920.2009.02102.x
Poretsky RS, 2009, ENVIRON MICROBIOL, V11, P1358, DOI 10.1111/j.1462-2920.2008.01863.x
Porubsky WP, 2008, ESTUAR COAST, V31, P860, DOI 10.1007/s12237-008-9077-0
Raes J, 2008, NAT REV MICROBIOL, V6, P693, DOI 10.1038/nrmicro1935
Ram RJ, 2005, SCIENCE, V308, P1915, DOI 10.1126/science. 1109070
Rink B, 2007, AQUAT MICROB ECOL, V48, P47, DOI 10.3354/ame048047
Rocap G, 2003, NATURE, V424, P1042, DOI 10.1038/nature01947
Rosselló-Mora R, 2008, ISME J, V2, P242, DOI 10.1038/ismej.2007.93
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Schwalbach MS, 2010, ENVIRON MICROBIOL, V12, P490, DOI 10.1111/j.1462-2920.2009.02092.x
See JH, 2006, LIMNOL OCEANOGR, V51, P2290, DOI 10.4319/lo.2006.51.5.2290
Sinsabaugh R.L., 2003, AQUATIC ECOSYSTEMSL, P479, DOI DOI 10.1080/09593330.2014.903301
Sleighter RL, 2008, MAR CHEM, V110, P140, DOI 10.1016/j.marchem.2008.04.008
Sogin ML, 2006, P NATL ACAD SCI USA, V103, P12115, DOI 10.1073/pnas.0605127103
Sowell SM, 2008, APPL ENVIRON MICROB, V74, P4091, DOI 10.1128/AEM.00599-08
Sowell SM, 2009, ISME J, V3, P93, DOI 10.1038/ismej.2008.83
Strom SL, 2008, SCIENCE, V320, P1043, DOI 10.1126/science.1153527
Teira E, 2006, LIMNOL OCEANOGR, V51, P60, DOI 10.4319/lo.2006.51.1.0060
Teira E, 2001, LIMNOL OCEANOGR, V46, P1370, DOI 10.4319/lo.2001.46.6.1370
Teira E, 2008, ENVIRON MICROBIOL, V10, P906, DOI 10.1111/j.1462-2920.2007.01509.x
Todd JD, 2010, ENVIRON MICROBIOL, V12, P327, DOI 10.1111/j.1462-2920.2009.02071.x
Treusch AH, 2009, ISME J, V3, P1148, DOI 10.1038/ismej.2009.60
Tringe SG, 2005, SCIENCE, V308, P554, DOI 10.1126/science.1107851
Tripp HJ, 2010, NATURE, V464, P90, DOI 10.1038/nature08786
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Vallino JJ, 2010, PHILOS T R SOC B, V365, P1417, DOI 10.1098/rstb.2009.0272
van Oijen T, 2005, MAR CHEM, V93, P33, DOI 10.1016/j.marchem.2004.06.039
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Vila-Costa M, 2006, SCIENCE, V314, P652, DOI 10.1126/science.1131043
Walker CB, 2010, P NATL ACAD SCI USA, V107, P8818, DOI 10.1073/pnas.0913533107
Webb EA, 2009, ENVIRON MICROBIOL, V11, P338, DOI 10.1111/j.1462-2920.2008.01771.x
Wetz MS, 2007, LIMNOL OCEANOGR, V52, P798, DOI 10.4319/lo.2007.52.2.0798
Wichard T, 2008, PROG OCEANOGR, V77, P30, DOI 10.1016/j.pocean.2008.03.002
Worden AZ, 2009, SCIENCE, V324, P268, DOI 10.1126/science.1167222
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 136
TC 239
Z9 266
PY 2011
VL 3
BP 567
EP 599
DI 10.1146/annurev-marine-120308-081003
UT WOS:000286638700021
DA 2025-07-30
ER
PT J
AU Mehrshad, M
Amoozegar, MA
Ghai, R
Fazeli, SAS
Rodriguez-Valera, F
AF Mehrshad, Maliheh
Amoozegar, Mohammad Ali
Ghai, Rohit
Fazeli, Seyed Abolhassan Shahzadeh
Rodriguez-Valera, Francisco
TI Genome Reconstruction from Metagenomic Data Sets Reveals Novel Microbes
in the Brackish Waters of the Caspian Sea
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB We present here the findings from a study of the microbiome of the southern basin of the Caspian Sea, the largest water body on Earth disconnected from any ocean and a brackish inland sea. By high-throughput metagenomics, we were able to reconstruct the genomes of representative microbes. The gross community structure (at the phylum level) was different from the structure of typical marine and freshwater communities in temperate open oceans, with the Caspian Sea having freshwater-like amounts of Actinobacteria and Alphaproteobacteria, while Gammaproteobacteria and Betaproteobacteria were present at intermediate levels. We assembled the genomes of several groups and provide detailed descriptions of partial genomes from Actinobacteria, Thaumarchaea, and Alphaproteobacteria. Most belonged to hitherto unknown groups, although they were related to either marine or freshwater groups. The phylogenetic placement of the Caspian genomes indicates that the organisms have multiple and separate phylogenetic origins and that they are related to organisms with both freshwater and marine lineages. Comparative recruitment from global aquatic metagenomes indicated that most Caspian microbes are endemic. However, some Caspian genomes were recruited significantly from either marine water (a member of the Alphaproteobacteria) or freshwater (a member of the Actinobacteria). Reciprocally, some genomes of other origins, such as the marine thaumarchaeon "Candidatus Nitrosopelagicus" or the actinobacterium "Candidatus Actinomarina," were recruited from the Caspian Sea, indicating some degree of overlap with the microbiota of other water bodies. Some of these microbes seem to have a remarkably widespread geographic and environmental distribution.
C1 [Mehrshad, Maliheh; Amoozegar, Mohammad Ali] Univ Tehran, Fac Biol, Dept Microbiol, Extremophiles Lab, Tehran, Iran.
[Mehrshad, Maliheh; Amoozegar, Mohammad Ali] Univ Tehran, Ctr Excellence Phylogeny Living Organisms, Coll Sci, Tehran, Iran.
[Ghai, Rohit; Rodriguez-Valera, Francisco] Univ Miguel Hernandez, Evolutionary Genom Grp, Alacant, Spain.
[Fazeli, Seyed Abolhassan Shahzadeh] ACECR, Iranian Biol Resource Ctr IBRC, Microorganisms Bank, Tehran, Iran.
[Fazeli, Seyed Abolhassan Shahzadeh] Univ Sci & Culture, Fac Basic Sci & Adv Technol Biol, Dept Mol & Cellular Biol, Tehran, Iran.
[Ghai, Rohit] Acad Sci Czech Republic, Inst Hydrobiol, Ctr Biol, Vvi, Ceske Budejovice, Czech Republic.
RP Amoozegar, MA (corresponding author), Univ Tehran, Fac Biol, Dept Microbiol, Extremophiles Lab, Tehran, Iran.; Amoozegar, MA (corresponding author), Univ Tehran, Ctr Excellence Phylogeny Living Organisms, Coll Sci, Tehran, Iran.
EM amoozegar@ut.ac.ir
CR Albertsen M, 2013, NAT BIOTECHNOL, V31, P533, DOI 10.1038/nbt.2579
Alquezar R, 2013, B ENVIRON CONTAM TOX, V90, P684, DOI 10.1007/s00128-013-0977-8
Altschul SF, 1997, NUCLEIC ACIDS RES, V25, P3389, DOI 10.1093/nar/25.17.3389
[Anonymous], 2009, STRUCTURAL RNA HOMOL
Aziz RK, 2008, BMC GENOMICS, V9, DOI 10.1186/1471-2164-9-75
Bauer M, 2006, ENVIRON MICROBIOL, V8, P2201, DOI 10.1111/j.1462-2920.2006.01152.x
Blainey PC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0016626
Bouvier TC, 2002, LIMNOL OCEANOGR, V47, P453, DOI 10.4319/lo.2002.47.2.0453
Brinkhoff T, 2008, ARCH MICROBIOL, V189, P531, DOI 10.1007/s00203-008-0353-y
Brown MV, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.28
Cai HY, 2010, APPL ENVIRON MICROB, V76, P2955, DOI 10.1128/AEM.02868-09
Campbell BJ, 2013, ISME J, V7, P210, DOI 10.1038/ismej.2012.93
Capella-Gutiérrez S, 2009, BIOINFORMATICS, V25, P1972, DOI 10.1093/bioinformatics/btp348
Chistoserdova L., 2013, The Prokaryotes: Prokaryotic Physiology and Biochemistry, V4th, P267, DOI DOI 10.1007/978-3-642-30141-468
Cho JC, 2004, APPL ENVIRON MICROB, V70, P432, DOI 10.1128/AEM.70.1.432-440.2004
Cole JR, 2009, NUCLEIC ACIDS RES, V37, pD141, DOI 10.1093/nar/gkn879
Coleman ML, 2010, P NATL ACAD SCI USA, V107, P18634, DOI 10.1073/pnas.1009480107
Comte J, 2014, ISME J, V8, P2423, DOI 10.1038/ismej.2014.89
Cristescu ME, 2010, MOL ECOL, V19, P4837, DOI 10.1111/j.1365-294X.2010.04832.x
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Dumont HJ, 1998, LIMNOL OCEANOGR, V43, P44, DOI 10.4319/lo.1998.43.1.0044
Dupont CL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0089549
Dupont CL, 2012, ISME J, V6, P1186, DOI 10.1038/ismej.2011.189
Edgar RC, 2010, BIOINFORMATICS, V26, P2460, DOI 10.1093/bioinformatics/btq461
FAVINGER J, 1989, A VAN LEEUW J MICROB, V55, P291, DOI 10.1007/BF00393857
Fernández-Gómez B, 2013, ISME J, V7, P1026, DOI 10.1038/ismej.2012.169
Fortunato CS, 2012, ISME J, V6, P554, DOI 10.1038/ismej.2011.135
Geelhoed JS, 2009, FEMS MICROBIOL ECOL, V70, P54, DOI 10.1111/j.1574-6941.2009.00739.x
Ghai R, 2014, MOL ECOL, V23, P6073, DOI 10.1111/mec.12985
Ghai R, 2013, SCI REP-UK, V3, DOI 10.1038/srep02471
Ghai R, 2012, ENV MICROBIOL REP, V4, P29, DOI 10.1111/j.1758-2229.2011.00274.x
Ghai R, 2011, SCI REP-UK, V1, DOI 10.1038/srep00135
Ghai R, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023785
Gilbert JA, 2012, ISME J, V6, P298, DOI 10.1038/ismej.2011.107
Grote J, 2011, STAND GENOMIC SCI, V5, P269, DOI 10.4056/sigs.1854551
Haft DH, 2001, NUCLEIC ACIDS RES, V29, P41, DOI 10.1093/nar/29.1.41
Herlemann DPR, 2014, SYST APPL MICROBIOL, V37, P601, DOI 10.1016/j.syapm.2014.09.002
Huang Y, 2009, BIOINFORMATICS, V25, P1338, DOI 10.1093/bioinformatics/btp161
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ikenaga M, 2010, MICROB ECOL, V59, P284, DOI 10.1007/s00248-009-9572-2
Ininbergs K, 2015, AMBIO, V44, pS439, DOI 10.1007/s13280-015-0663-7
Jacobs J, 2009, APPL ENVIRON MICROB, V75, P7378, DOI 10.1128/AEM.01900-09
Jamshidi S, 2012, OCEANOLOGY+, V52, P380, DOI 10.1134/S0001437012030034
Kirchman DL, 2005, LIMNOL OCEANOGR, V50, P1697, DOI 10.4319/lo.2005.50.5.1697
Kirchman DL, 2002, FEMS MICROBIOL ECOL, V39, P91, DOI 10.1111/j.1574-6941.2002.tb00910.x
Koblízek M, 2011, J BACTERIOL, V193, P5881, DOI 10.1128/JB.05845-11
Komarek Jiri, 2007, Polish Polar Research, V28, P211
Komarek Jiri, 2003, P117, DOI 10.1016/B978-012741550-5/50005-2
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Kumar PA, 2008, INT J SYST EVOL MICR, V58, P2917, DOI 10.1099/ijs.0.65689-0
Larsson J, 2014, ISME J, V8, P1892, DOI 10.1038/ismej.2014.35
Lassmann T, 2005, BMC BIOINFORMATICS, V6, DOI 10.1186/1471-2105-6-298
Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
Logares R, 2009, TRENDS MICROBIOL, V17, P414, DOI 10.1016/j.tim.2009.05.010
Lowe TM, 1997, NUCLEIC ACIDS RES, V25, P955, DOI 10.1093/nar/25.5.955
Lozupone CA, 2007, P NATL ACAD SCI USA, V104, P11436, DOI 10.1073/pnas.0611525104
MACLEOD RA, 1965, BACTERIOL REV, V29, P9, DOI 10.1128/MMBR.29.1.9-23.1965
Martín-Cuadrado AB, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000914
Martin-Cuadrado AB, 2015, ISME J, V9, P1619, DOI 10.1038/ismej.2014.249
Matsunaga T, 2005, DNA RES, V12, P157, DOI 10.1093/dnares/dsi002
Mizuno CM, 2015, MBIO, V6, DOI 10.1128/mBio.02083-14
Mordukhai-Boltovskoi, 1964, INT REV GESAMTE HYDR, V49, P139
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
Mosier AC, 2012, J BACTERIOL, V194, P2121, DOI 10.1128/JB.00013-12
Mosier AC, 2012, J BACTERIOL, V194, P2119, DOI 10.1128/JB.00007-12
Nasrollahzadeh HS, 2008, CONT SHELF RES, V28, P1153, DOI 10.1016/j.csr.2008.02.015
Newton RJ, 2011, MICROBIOL MOL BIOL R, V75, P14, DOI 10.1128/MMBR.00028-10
Oh HM, 2011, J BACTERIOL, V193, P3379, DOI 10.1128/JB.05033-11
Oh HM, 2010, J BACTERIOL, V192, P3240, DOI 10.1128/JB.00347-10
Oh SD, 2014, GENOME ANNOUNCEMENTS, V2, DOI 10.1128/genomeA.01137-14
Oh S, 2011, APPL ENVIRON MICROB, V77, P6000, DOI 10.1128/AEM.00107-11
PADGITT PJ, 1987, INT J SYST BACTERIOL, V37, P186, DOI 10.1099/00207713-37-3-186
Peng Y, 2012, BIOINFORMATICS, V28, P1420, DOI 10.1093/bioinformatics/bts174
Penn K, 2012, BMC GENOMICS, V13, DOI 10.1186/1471-2164-13-86
Pester M, 2011, CURR OPIN MICROBIOL, V14, P300, DOI 10.1016/j.mib.2011.04.007
Price MN, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009490
Puigbo Pere, 2009, Journal of Biology (London), V8, P59, DOI 10.1186/jbiol159
Raes J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-1-r10
Rappé MS, 2000, FEMS MICROBIOL ECOL, V33, P219, DOI 10.1016/S0168-6496(00)00064-7
Reslewic S, 2005, APPL ENVIRON MICROB, V71, P5511, DOI 10.1128/AEM.71.9.5511-5522.2005
Rice P, 2000, TRENDS GENET, V16, P276, DOI 10.1016/S0168-9525(00)02024-2
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rusch DB, 2013, GENOME ANNOUNC, V1
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Salcher MM, 2011, ISME J, V5, P1242, DOI 10.1038/ismej.2011.8
Santoro AE, 2015, P NATL ACAD SCI USA, V112, P1173, DOI 10.1073/pnas.1416223112
Scanlan DJ, 2002, FEMS MICROBIOL ECOL, V40, P1, DOI 10.1111/j.1574-6941.2002.tb00930.x
SCHLEIFER KH, 1991, SYST APPL MICROBIOL, V14, P379, DOI 10.1016/S0723-2020(11)80313-9
Schleper C, 2010, ADV MICROB PHYSIOL, V57, P1, DOI 10.1016/B978-0-12-381045-8.00001-1
Spring S, 2013, BMC MICROBIOL, V13, DOI 10.1186/1471-2180-13-118
Stahl DA, 2012, ANNU REV MICROBIOL, V66, P83, DOI 10.1146/annurev-micro-092611-150128
Steffen MM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0044002
Stockner JG, 2002, ECOLOGY CYANOBACTERI, P195
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Tatusov RL, 2001, NUCLEIC ACIDS RES, V29, P22, DOI 10.1093/nar/29.1.22
Thrash JC, 2010, J BACTERIOL, V192, P3842, DOI 10.1128/JB.00511-10
Wagner-Döbler I, 2006, ANNU REV MICROBIOL, V60, P255, DOI 10.1146/annurev.micro.60.080805.142115
Warnecke F, 2004, ENVIRON MICROBIOL, V6, P242, DOI 10.1111/j.1462-2920.2004.00561.x
Wu SK, 2006, FRESHWATER BIOL, V51, P2309, DOI 10.1111/j.1365-2427.2006.01652.x
Zaremba-Niedzwiedzka K, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-11-r130
Zwart G, 2002, AQUAT MICROB ECOL, V28, P141, DOI 10.3354/ame028141
NR 102
TC 36
Z9 37
PD MAR
PY 2016
VL 82
IS 5
BP 1599
EP 1612
DI 10.1128/AEM.03381-15
UT WOS:000373338800024
DA 2025-07-30
ER
PT J
AU Parikka, KJ
Le Romancer, M
Wauters, N
Jacquet, S
AF Parikka, Kaarle J.
Le Romancer, Marc
Wauters, Nina
Jacquet, Stephan
TI Deciphering the virus-to-prokaryote ratio (VPR): insights into
virus-host relationships in a variety of ecosystems
SO BIOLOGICAL REVIEWS
DT Review
AB The discovery of the numerical importance of viruses in a variety of (aquatic) ecosystems has changed our perception of their importance in microbial processes. Bacteria and Archaea undoubtedly represent the most abundant cellular life forms on Earth and past estimates of viral numbers (represented mainly by viruses infecting prokaryotes) have indicated abundances at least one order of magnitude higher than that of their cellular hosts. Such dominance has been reflected most often by the virus-to-prokaryote ratio (VPR), proposed as a proxy for the relationship between viral and prokaryotic communities. VPR values have been discussed in the literature to express viral numerical dominance (or absence of it) over their cellular hosts, but the ecological meaning and interpretation of this ratio has remained somewhat nebulous or contradictory. We gathered data from 210 publications (and additional unpublished data) on viral ecology with the aim of exploring VPR. The results are presented in three parts: the first consists of an overview of the minimal, maximal and calculated average VPR values in an extensive variety of different environments. Results indicate that VPR values fluctuate over six orders of magnitude, with variations observed within each ecosystem. The second part investigates the relationship between VPR and other indices, in order to assess whether VPR can provide insights into virus-host relationships. A positive relationship was found between VPR and viral abundance (VA), frequency of visibly infected cells (FVIC), burst size (BS), frequency of lysogenic cells (FLC) and chlorophyll a (Chl a) concentration. An inverse relationship was detected between VPR and prokaryotic abundance (PA) (in sediments), prokaryotic production (PP) and virus-host contact rates (VCR) as well as salinity and temperature. No significant relationship was found between VPR and viral production (VP), fraction of mortality from viral lysis (FMVL), viral decay rate (VDR), viral turnover (VT) or depth. Finally, we summarize our results by proposing two scenarios in two contrasting environments, based on current theories on viral ecology as well as the present results. We conclude that since VPR fluctuates in every habitat for different reasons, as it is linked to a multitude of factors related to virus-host dynamics, extreme caution should be used when inferring relationships between viruses and their hosts. Furthermore, we posit that the VPR is only useful in specific, controlled conditions, e. g. for the monitoring of fluctuations in viral and host abundance over time.
C1 [Parikka, Kaarle J.; Le Romancer, Marc] Inst Univ Europeen Mer, Lab Microbiol Extreme Environm, F-29280 Plouzane, France.
[Parikka, Kaarle J.] Queen Astrid Mil Hosp, Belgian Dept Def, LabMCT, B-1120 Brussels, Belgium.
[Wauters, Nina] Univ Libre Bruxelles, Biol Evolut & Ecol, B-1050 Brussels, Belgium.
[Jacquet, Stephan] INRA CARRTEL, F-74200 Thonon Les Bains, France.
RP Jacquet, S (corresponding author), INRA CARRTEL, F-74200 Thonon Les Bains, France.
EM sjacquet@thonon.inra.fr
CR Ackermann HW, 2012, ARCH VIROL, V157, P1843, DOI 10.1007/s00705-012-1383-y
Anesio AM, 2007, J GEOPHYS RES-BIOGEO, V112, DOI 10.1029/2006JG000350
Anesio AM, 2004, APPL ENVIRON MICROB, V70, P4848, DOI 10.1128/AEM.70.8.4848-4854.2004
[Anonymous], 2012, ADV UNDERSTANDING BI
[Anonymous], BIOMED RES INT
Ashelford KE, 2003, APPL ENVIRON MICROB, V69, P285, DOI 10.1128/AEM.69.1.285-289.2003
BERGH O, 1989, NATURE, V340, P467, DOI 10.1038/340467a0
Bettarel Y, 2005, AQUAT MICROB ECOL, V39, P205, DOI 10.3354/ame039205
Bettarel Y, 2003, FRESHWATER BIOL, V48, P810, DOI 10.1046/j.1365-2427.2003.01064.x
Bettarel Y, 2008, ESTUAR COAST SHELF S, V80, P425, DOI 10.1016/j.ecss.2008.08.018
Bettarel Y, 2011, FEMS MICROBIOL ECOL, V76, P360, DOI 10.1111/j.1574-6941.2011.01054.x
Bettarel Y, 2009, J PLANKTON RES, V31, P909, DOI 10.1093/plankt/fbp041
Binder B, 1999, AQUAT MICROB ECOL, V18, P207, DOI 10.3354/ame018207
Bird DF, 2001, MAR GEOL, V174, P227, DOI 10.1016/S0025-3227(00)00152-3
Bongiorni L, 2005, APPL ENVIRON MICROB, V71, P6644, DOI 10.1128/AEM.71.11.6644-6650.2005
Borrel G, 2012, ISME J, V6, P2119, DOI 10.1038/ismej.2012.49
Boyer JN, 2009, ECOL INDIC, V9, pS56, DOI 10.1016/j.ecolind.2008.11.013
Bratbak G, 1995, NATO ADV SCI INST SE, V38, P249
Breitbart M, 2004, APPL ENVIRON MICROB, V70, P1633, DOI 10.1128/AEM.70.3.1633-1640.2004
BROCK TD, 1985, SCIENCE, V230, P132, DOI 10.1126/science.230.4722.132
Brum JR, 2005, AQUAT MICROB ECOL, V41, P247, DOI 10.3354/ame041247
Brussaard CPD, 2004, J EUKARYOT MICROBIOL, V51, P125, DOI 10.1111/j.1550-7408.2004.tb00537.x
Casjens S, 2003, MOL MICROBIOL, V49, P277, DOI 10.1046/j.1365-2958.2003.03580.x
Chaban B, 2006, CAN J MICROBIOL, V52, P73, DOI [10.1139/WDS-147, 10.1139/w05-147]
Chiura Hiroshi Xavier, 2002, MICROBES ENVIRON, V17, P48, DOI 10.1264/jsme2.2002.48
Cinquin C, 2004, MICROB ECOL, V48, P128, DOI 10.1007/s00248-003-2022-7
Clasen JL, 2008, FRESHWATER BIOL, V53, P1090, DOI 10.1111/j.1365-2427.2008.01992.x
COCHLAN WP, 1993, MAR ECOL PROG SER, V92, P77, DOI 10.3354/meps092077
CULLEN JJ, 1982, CAN J FISH AQUAT SCI, V39, P791, DOI 10.1139/f82-108
Danovaro R, 2005, ENVIRON MICROBIOL, V7, P586, DOI 10.1111/j.1462-2920.2005.00727.x
Danovaro R, 2002, APPL ENVIRON MICROB, V68, P1468, DOI 10.1128/AEM.68.3.1468-1472.2002
Danovaro R, 2000, APPL ENVIRON MICROB, V66, P1857, DOI 10.1128/AEM.66.5.1857-1861.2000
Danovaro R, 2008, NATURE, V454, P1084, DOI 10.1038/nature07268
Danovaro R, 2008, FRESHWATER BIOL, V53, P1186, DOI 10.1111/j.1365-2427.2008.01961.x
De Corte D, 2012, ISME J, V6, P1566, DOI 10.1038/ismej.2011.214
Duhamel S, 2006, J MICROBIOL METH, V64, P316, DOI 10.1016/j.mimet.2005.05.008
Edwards RA, 2005, NAT REV MICROBIOL, V3, P504, DOI 10.1038/nrmicro1163
Engelhardt T, 2014, ISME J, V8, P1503, DOI 10.1038/ismej.2013.245
Engelhardt T, 2011, ENV MICROBIOL REP, V3, P459, DOI 10.1111/j.1758-2229.2010.00232.x
Farnell-Jackson EA, 2003, FRESHWATER BIOL, V48, P841, DOI 10.1046/j.1365-2427.2003.01052.x
FUHRMAN JA, 1980, APPL ENVIRON MICROB, V39, P1085, DOI 10.1128/AEM.39.6.1085-1095.1980
FUHRMAN JA, 1982, MAR BIOL, V66, P109, DOI 10.1007/BF00397184
Fulton Jennifer, 2009, V501, P43, DOI 10.1007/978-1-60327-164-6_5
Garza DR, 1998, MICROB ECOL, V36, P281, DOI 10.1007/s002489900115
Giovannoni S, 2013, NATURE, V499, pE4, DOI 10.1038/nature12388
Glud RN, 2004, LIMNOL OCEANOGR, V49, P2073, DOI 10.4319/lo.2004.49.6.2073
GONZALEZ JM, 1993, MAR ECOL PROG SER, V94, P1, DOI 10.3354/meps094001
Gowing MM, 2004, MAR ECOL PROG SER, V279, P3, DOI 10.3354/meps279003
GROSSART HP, 1993, LIMNOL OCEANOGR, V38, P532, DOI 10.4319/lo.1993.38.3.0532
Hansen JW, 2000, MAR ECOL PROG SER, V208, P273, DOI 10.3354/meps208273
Hara S, 1996, MAR ECOL PROG SER, V145, P269, DOI 10.3354/meps145269
HARA S, 1991, APPL ENVIRON MICROB, V57, P2731, DOI 10.1128/AEM.57.9.2731-2734.1991
HELDAL M, 1991, MAR ECOL PROG SER, V72, P205, DOI 10.3354/meps072205
Helton RR, 2012, FEMS MICROBIOL ECOL, V79, P474, DOI 10.1111/j.1574-6941.2011.01238.x
Helton RR, 2005, AQUAT MICROB ECOL, V41, P209, DOI 10.3354/ame041209
Hewson I, 2003, MICROB ECOL, V46, P337, DOI 10.1007/s00248-002-1041-0
Hewson I, 2001, LIMNOL OCEANOGR, V46, P1734, DOI 10.4319/lo.2001.46.7.1734
Hyman P, 2010, ADV APPL MICROBIOL, V70, P217, DOI 10.1016/S0065-2164(10)70007-1
Jacquet S, 2005, FRESHWATER BIOL, V50, P627, DOI 10.1111/j.1365-2427.2005.01349.x
Jacquet S, 2016, DATA METADATA DEALIN, DOI 10.15454/1.4539792655245962E12
Jacquet S, 2010, ADV OCEANOGR LIMNOL, V1, P97, DOI DOI 10.1080/19475721003743843
Jiang SC, 1998, MICROBIAL ECOL, V35, P235, DOI 10.1007/s002489900079
JIANG SC, 1994, MAR ECOL PROG SER, V104, P163, DOI 10.3354/meps104163
Juniper SK, 1998, DEEP-SEA RES PT II, V45, P2739, DOI 10.1016/S0967-0645(98)00091-5
KAPUSCINSKI RB, 1980, WATER RES, V14, P363, DOI 10.1016/0043-1354(80)90084-6
Kellogg CA, 2010, DEEP-SEA RES PT II, V57, P2002, DOI 10.1016/j.dsr2.2010.05.006
Kimura M, 2008, SOIL SCI PLANT NUTR, V54, P1, DOI 10.1111/j.1747-0765.2007.00197.x
KIRCHMAN D, 1985, APPL ENVIRON MICROB, V49, P599, DOI 10.1128/AEM.49.3.599-607.1985
Kirchman D, 2001, METHOD MICROBIOL, V30, P227, DOI 10.1016/S0580-9517(01)30047-8
Krupovic M, 2008, NAT REV MICROBIOL, V6, P941, DOI 10.1038/nrmicro2033
Kyle JE, 2008, ISME J, V2, P571, DOI 10.1038/ismej.2008.18
Laybourn-Parry J, 2001, FRESHWATER BIOL, V46, P1279, DOI 10.1046/j.1365-2427.2001.00749.x
Laybourn-Parry J, 2013, FRESHWATER BIOL, V58, P1484, DOI 10.1111/fwb.12146
Le Romancer Marc, 2007, Reviews in Environmental Science and Bio/Technology, V6, P17, DOI 10.1007/s11157-006-0011-2
LENSKI RE, 1988, ADV MICROB ECOL, V10, P1
Liu W, 2011, J FOOD AGRIC ENVIRON, V9, P963
Madan NJ, 2005, FRESHWATER BIOL, V50, P1291, DOI 10.1111/j.1365-2427.2005.01399.x
Manini E, 2008, MICROB ECOL, V55, P626, DOI 10.1007/s00248-007-9306-2
MARANGER R, 1994, MAR ECOL PROG SER, V111, P121, DOI 10.3354/meps111121
MARANGER R, 1995, MAR ECOL PROG SER, V121, P217, DOI 10.3354/meps121217
Mari X, 2007, APPL ENVIRON MICROB, V73, P5245, DOI 10.1128/AEM.00762-07
Maurice CF, 2010, ENVIRON MICROBIOL, V12, P628, DOI 10.1111/j.1462-2920.2009.02103.x
Mei ML, 2004, LIMNOL OCEANOGR, V49, P459, DOI 10.4319/lo.2004.49.2.0459
Middelboe M, 2006, MAR BIOL RES, V2, P41, DOI 10.1080/17451000600620650
Middelboe M, 2006, DEEP-SEA RES PT I, V53, P1, DOI 10.1016/j.dsr.2005.09.008
Middelboe M, 2003, LIMNOL OCEANOGR, V48, P1447, DOI 10.4319/lo.2003.48.4.1447
Middelboe M, 2011, AQUAT MICROB ECOL, V63, P1, DOI 10.3354/ame01485
Miki T, 2008, AQUAT MICROB ECOL, V51, P195, DOI 10.3354/ame01190
Mokili JL, 2012, CURR OPIN VIROL, V2, P63, DOI 10.1016/j.coviro.2011.12.004
MURRAY AG, 1992, MAR ECOL PROG SER, V89, P103, DOI 10.3354/meps089103
Nakayama N, 2007, SOIL SCI PLANT NUTR, V53, P420, DOI 10.1111/j.1747-0765.2007.00145.x
Noble RT, 1997, APPL ENVIRON MICROB, V63, P77, DOI 10.1128/AEM.63.1.77-83.1997
Noble RT, 2000, APPL ENVIRON MICROB, V66, P3790, DOI 10.1128/AEM.66.9.3790-3797.2000
OGUNSEITAN OA, 1990, MICROB ECOL, V19, P171, DOI 10.1007/BF02012098
Ortmann AC, 2005, DEEP-SEA RES PT I, V52, P1515, DOI 10.1016/j.dsr.2005.04.002
Ortmann AC, 2006, NAT REV MICROBIOL, V4, P520, DOI 10.1038/nrmicro1444
Pace NR, 2006, NATURE, V441, P289, DOI 10.1038/441289a
Palesse S, 2014, MICROB ECOL, V68, P740, DOI 10.1007/s00248-014-0441-2
Pan D, 2014, ISME J, V8, P1691, DOI 10.1038/ismej.2014.38
Parada V, 2007, APPL ENVIRON MICROB, V73, P4429, DOI 10.1128/AEM.00029-07
Parvathi A, 2014, HYDROL EARTH SYST SC, V18, P1073, DOI 10.5194/hess-18-1073-2014
Paterson H, 2012, POLAR BIOL, V35, P491, DOI 10.1007/s00300-011-1093-z
Patten NL, 2008, AQUAT MICROB ECOL, V50, P209, DOI 10.3354/ame01179
Patten NL, 2006, J MAR BIOL ASSOC UK, V86, P563, DOI 10.1017/S0025315406013476
PAUL JH, 1993, APPL ENVIRON MICROB, V59, P718, DOI 10.1128/AEM.59.3.718-724.1993
Paul JH, 2000, VIRAL ECOLOGY, P211, DOI 10.1016/B978-012362675-2/50006-9
Paul JH, 2008, ISME J, V2, P579, DOI 10.1038/ismej.2008.35
Peduzzi P, 2004, ENVIRON MICROBIOL, V6, P707, DOI 10.1111/j.1462-2920.2004.00602.x
Peduzzi P, 2008, AQUAT SCI, V70, P186, DOI 10.1007/s00027-008-8068-3
Peduzzi P, 2016, BIOL REV, V91, P937, DOI 10.1111/brv.12202
Peduzzi P, 2014, ISME J, V8, P1346, DOI 10.1038/ismej.2013.241
Personnic S, 2009, J PLANKTON RES, V31, P1161, DOI 10.1093/plankt/fbp057
Pietilä MK, 2013, J VIROL, V87, P3248, DOI 10.1128/JVI.03397-12
Pietilä MK, 2012, J VIROL, V86, P5067, DOI 10.1128/JVI.06915-11
Pina M, 2011, FEMS MICROBIOL REV, V35, P1035, DOI 10.1111/j.1574-6976.2011.00280.x
Pinto F, 2013, AQUAT SCI, V75, P571, DOI 10.1007/s00027-013-0301-z
Porter K, 2007, CURR OPIN MICROBIOL, V10, P418, DOI 10.1016/j.mib.2007.05.017
Prangishvili D, 2005, TRENDS MICROBIOL, V13, P535, DOI 10.1016/j.tim.2005.08.013
Prangishvili D, 2006, METHOD MICROBIOL, V35, P331, DOI 10.1016/S0580-9517(05)35014-8
Prangishvili D, 2006, NAT REV MICROBIOL, V4, P837, DOI 10.1038/nrmicro1527
PROCTOR LM, 1990, NATURE, V343, P60, DOI 10.1038/343060a0
Rice G, 2001, P NATL ACAD SCI USA, V98, P13341, DOI 10.1073/pnas.231170198
Rothschild LJ, 2001, NATURE, V409, P1092, DOI 10.1038/35059215
Roudnew B, 2014, GROUNDWATER, V52, P118, DOI 10.1111/gwat.12044
Roudnew B, 2013, AQUAT MICROB ECOL, V68, P259, DOI 10.3354/ame01615
Rowe JM, 2012, FEMS MICROBIOL ECOL, V79, P359, DOI 10.1111/j.1574-6941.2011.01223.x
Säwström C, 2008, EXTREMOPHILES, V12, P167, DOI 10.1007/s00792-007-0134-6
Santos F, 2010, ENVIRON MICROBIOL, V12, P2965, DOI 10.1111/j.1462-2920.2010.02273.x
Säwström C, 2007, POLAR BIOL, V30, P1407, DOI 10.1007/s00300-007-0301-3
Seymour JR, 2005, MAR ECOL PROG SER, V288, P1, DOI 10.3354/meps288001
Seymour JR, 2006, J MAR BIOL ASSOC UK, V86, P551, DOI 10.1017/S0025315406013464
Sime-Ngando T, 2009, CAN J MICROBIOL, V55, P95, DOI [10.1139/W08-099, 10.1139/w08-099]
Simon M, 2002, AQUAT MICROB ECOL, V28, P175, DOI 10.3354/ame028175
Srinivasiah S, 2008, RES MICROBIOL, V159, P349, DOI 10.1016/j.resmic.2008.04.010
STEELE JH, 1962, LIMNOL OCEANOGR, V7, P137, DOI 10.4319/lo.1962.7.2.0137
Stern A, 2011, BIOESSAYS, V33, P43, DOI 10.1002/bies.201000071
Steward Grieg F., 1992, Marine Microbial Food Webs, V6, P57
STEWART FM, 1984, THEOR POPUL BIOL, V26, P93, DOI 10.1016/0040-5809(84)90026-1
SUTTLE CA, 1992, APPL ENVIRON MICROB, V58, P3721, DOI 10.1128/AEM.58.11.3721-3729.1992
Suttle CA, 2005, NATURE, V437, P356, DOI 10.1038/nature04160
Suzuki N., 1953, B FAC FISH, V4, P132
Swanson MM, 2009, ANN APPL BIOL, V155, P51, DOI 10.1111/j.1744-7348.2009.00319.x
Thingstad TF, 2014, P NATL ACAD SCI USA, V111, P7813, DOI 10.1073/pnas.1400909111
Thingstad TF, 1997, AQUAT MICROB ECOL, V13, P19, DOI 10.3354/ame013019
Thingstad TF, 2000, LIMNOL OCEANOGR, V45, P1320, DOI 10.4319/lo.2000.45.6.1320
Thomas R, 2011, ENVIRON MICROBIOL, V13, P616, DOI 10.1111/j.1462-2920.2010.02364.x
TUOMI P, 1995, FEMS MICROBIOL ECOL, V16, P123, DOI 10.1111/j.1574-6941.1995.tb00276.x
Våge S, 2013, NATURE, V499, pE3, DOI 10.1038/nature12387
Van Valen Leigh, 1973, Evolutionary Theory, V1, P1, DOI DOI 10.4337/9781785361302.00005
Vrede K, 2003, MICROB ECOL, V46, P406, DOI 10.1007/s00248-003-2009-4
Weinbauer MG, 2009, AQUAT MICROB ECOL, V57, P321, DOI 10.3354/ame01363
Weinbauer M. G., 2010, MANUAL AQUATIC VIRAL, V1, P1, DOI [10.4319/mave.2010.978-0-9845591-0-7.1, DOI 10.4319/MAVE.2010.978-0-9845591-0-7.1]
Weinbauer MG, 1999, AQUAT MICROB ECOL, V18, P217, DOI 10.3354/ame018217
Weinbauer MG, 2004, FEMS MICROBIOL REV, V28, P127, DOI 10.1016/j.femsre.2003.08.001
WEINBAUER MG, 1995, MICROBIAL ECOL, V30, P25, DOI 10.1007/BF00184511
Weinbauer MG, 1998, APPL ENVIRON MICROB, V64, P431
Weinbauer MG, 2002, AQUAT MICROB ECOL, V27, P103, DOI 10.3354/ame027103
WEINBAUER MG, 1993, APPL ENVIRON MICROB, V59, P4074, DOI 10.1128/AEM.59.12.4074-4082.1993
Weinbauer MG, 1996, APPL ENVIRON MICROB, V62, P4374, DOI 10.1128/AEM.62.12.4374-4380.1996
Weinbauer MG., 2011, Microb. Carbon Pump Ocean, P54, DOI DOI 10.1126/SCIENCE.OPMS.SB0001
Weitz Joshua S, 2012, F1000 Biol Rep, V4, P17
Wilhartitz IC, 2013, MICROBIOLOGYOPEN, V2, P633, DOI 10.1002/mbo3.98
Wilhelm SW, 2008, FRESHWATER BIOL, V53, P1076, DOI 10.1111/j.1365-2427.2008.01980.x
Wilhelm SW, 1998, LIMNOL OCEANOGR, V43, P586, DOI 10.4319/lo.1998.43.4.0586
Wilhelm SW, 2002, MICROBIAL ECOL, V43, P168, DOI 10.1007/s00248-001-1021-9
Wilhelm SW, 1999, BIOSCIENCE, V49, P781, DOI 10.2307/1313569
Williamson KE, 2005, APPL ENVIRON MICROB, V71, P3119, DOI 10.1128/AEM.71.6.3119-3125.2005
Williamson KE, 2007, ENVIRON MICROBIOL, V9, P2563, DOI 10.1111/j.1462-2920.2007.01374.x
Williamson KE, 2011, SOIL BIOL, V23, P113, DOI 10.1007/978-3-642-14512-4_4
Williamson SJ, 2008, ISME J, V2, P1112, DOI 10.1038/ismej.2008.73
Winget DM, 2011, P NATL ACAD SCI USA, V108, P11506, DOI 10.1073/pnas.1101907108
Winget DM, 2005, AQUAT MICROB ECOL, V41, P221, DOI 10.3354/ame041221
Winter C, 2009, DEEP-SEA RES PT I, V56, P1972, DOI 10.1016/j.dsr.2009.07.003
Witte A, 1997, MOL MICROBIOL, V23, P603, DOI 10.1046/j.1365-2958.1997.d01-1879.x
Wommack KE, 2004, DEEP-SEA RES PT I, V51, P1781, DOI 10.1016/j.dsr.2004.05.011
WOMMACK KE, 1992, APPL ENVIRON MICROB, V58, P2965, DOI 10.1128/AEM.58.9.2965-2970.1992
Wommack KE, 2000, MICROBIOL MOL BIOL R, V64, P69, DOI 10.1128/MMBR.64.1.69-114.2000
Wommack KE, 1996, APPL ENVIRON MICROB, V62, P1336, DOI 10.1128/AEM.62.4.1336-1341.1996
Yanagawa K, 2014, FEMS MICROBIOL ECOL, V88, P60, DOI 10.1111/1574-6941.12269
Yoshida-Takashima Y, 2012, APPL ENVIRON MICROB, V78, P1311, DOI 10.1128/AEM.06491-11
Zhao YL, 2013, NATURE, V494, P357, DOI 10.1038/nature11921
Zhong X, 2014, MICROB ECOL, V67, P66, DOI 10.1007/s00248-013-0320-2
ZILLIG W, 1994, SYST APPL MICROBIOL, V16, P609
NR 183
TC 96
Z9 107
PD MAY
PY 2017
VL 92
IS 2
BP 1081
EP 1100
DI 10.1111/brv.12271
UT WOS:000398567200025
DA 2025-07-30
ER
PT J
AU Hamasaki, K
Taniguchi, A
Tada, Y
Long, RA
Azam, F
AF Hamasaki, Koji
Taniguchi, Akito
Tada, Yuya
Long, Richard A.
Azam, Farooq
TI Actively growing bacteria in the Inland Sea of Japan, identified by
combined bromodeoxyuridine immunocapture and denaturing gradient gel
electrophoresis
SO APPLIED AND ENVIRONMENTAL MICROBIOLOGY
DT Article
AB A fundamental question in microbial oceanography concerns the relationship between prokaryote diversity and biogeochemical function in an ecosystem context. We combined bromodeoxymidine (BrdU) magnetic bead immunocapture and PCR-denaturing gradient gel electrophoresis (BUMP-DGGE) to examine phylotype-specific growth in natural marine assemblages. We also examined a broad range of marine bacterial isolates to determine their abilities to incorporate BrdU in order to test the validity of the method for application to diverse marine assemblages. We found that 27 of 29 isolates belonging to different taxa could incorporate BrdU. BUMP-DGGE analysis revealed phylogenetic affiliations of DNA-synthesizing, presumably actively growing bacteria across a eutrophic to mesotrophic transect in the Inland Sea of Japan. We found that the BrdU-incorporating (growing) communities were substantially different from the total communities. The majority (34/56) of phylotypes incorporated BrdU and were presumably growing, and these phylotypes comprised 10 alphaproteobacteria, 1 betaproteobacterium, 11 gammaproteobacteria, 11 Cytophaga-Flavobacterium-Bateroides group bacteria, and 1 unclassified bacterium. All BrdU-responsive alphaproteobacteria were members of the Rhodobacterales, suggesting that such bacteria were dominant in the growing alphaproteobacterial populations in our samples. The BrdU-responsive gammaproteobacteria belonged to the Oceanospirillales, the SAR86 cluster, the Pseudomonadales, the Alteromonadales, and the Vibrionales. Thus, contemporaneous cooccurrence of diverse actively growing bacterial taxa was a consistent pattern in our biogeochemically varied study area.
C1 Hiroshima Univ, Grad Sch Biosphere Sci, Hiroshima, Japan.
Texas A&M Univ, Coll Geosci, Dept Oceanog, College Stn, TX 77843 USA.
Univ Calif San Diego, Scripps Inst Oceanog, MBRD, La Jolla, CA 92037 USA.
RP Hamasaki, K (corresponding author), Univ Tokyo, Ocean Res Inst, Dept Marine Ecosyst Dynam, Nakano Ku, 1-15-1 Minamidai, Tokyo 1648639, Japan.
EM hamasaki@ori.u-tokyo.ac.jp
CR Artursson V, 2003, APPL ENVIRON MICROB, V69, P6208, DOI 10.1128/AEM.69.10.6208-6215.2003
Asquith B, 2002, TRENDS IMMUNOL, V23, P596, DOI 10.1016/S1471-4906(02)02337-2
Azam F, 1998, SCIENCE, V280, P694, DOI 10.1126/science.280.5364.694
Azam F, 2001, NATURE, V414, P495, DOI 10.1038/35107174
Borneman J, 1999, APPL ENVIRON MICROB, V65, P3398
Casamayor EO, 2000, APPL ENVIRON MICROB, V66, P499, DOI 10.1128/AEM.66.2.499-508.2000
Cottrell MT, 2004, AQUAT MICROB ECOL, V34, P139, DOI 10.3354/ame034139
Cottrell MT, 2003, LIMNOL OCEANOGR, V48, P168, DOI 10.4319/lo.2003.48.1.0168
Crump BC, 2004, APPL ENVIRON MICROB, V70, P1494, DOI 10.1128/AEM.70.3.1494-1505.2004
DeLong EF, 2002, CURR OPIN MICROBIOL, V5, P520, DOI 10.1016/S1369-5274(02)00353-3
DON RH, 1991, NUCLEIC ACIDS RES, V19, P4008, DOI 10.1093/nar/19.14.4008
Ebie Y, 2004, APPL MICROBIOL BIOT, V64, P740, DOI 10.1007/s00253-004-1558-x
Eichler S, 2006, APPL ENVIRON MICROB, V72, P1858, DOI 10.1128/AEM.72.3.1858-1872.2006
Eilers H, 2000, APPL ENVIRON MICROB, V66, P3044, DOI 10.1128/AEM.66.7.3044-3051.2000
Fandino LB, 2001, AQUAT MICROB ECOL, V23, P119, DOI 10.3354/ame023119
Fegatella F, 1998, APPL ENVIRON MICROB, V64, P4433
Ferrari VC, 1999, HYDROBIOLOGIA, V401, P55, DOI 10.1023/A:1003773907789
Giovannoni S., 2000, MICROBIAL ECOLOGY OC, P47
González JM, 2000, APPL ENVIRON MICROB, V66, P4237, DOI 10.1128/AEM.66.10.4237-4246.2000
Grossart HP, 2005, ENVIRON MICROBIOL, V7, P860, DOI 10.1111/j.1462-2920.2005.00759.x
Hamasaki K, 2004, AQUAT MICROB ECOL, V35, P217, DOI 10.3354/ame035217
Hamasaki K, 2006, J OCEANOGR, V62, P793, DOI 10.1007/s10872-006-0098-7
Herndl GJ, 2005, APPL ENVIRON MICROB, V71, P2303, DOI 10.1128/AEM.71.5.2303-2309.2005
HOLM-HANSEN OSMUND, 1965, J CONS CONS PERMS INTE EXPLOR MER, V30, P3
Ingalls AE, 2006, P NATL ACAD SCI USA, V103, P6442, DOI 10.1073/pnas.0510157103
JEFFREY WH, 1990, APPL ENVIRON MICROB, V56, P1367, DOI 10.1128/AEM.56.5.1367-1372.1990
LEE SH, 1994, LIMNOL OCEANOGR, V39, P869, DOI 10.4319/lo.1994.39.4.0869
Long RA, 2001, AQUAT MICROB ECOL, V26, P103, DOI 10.3354/ame026103
Malmstrom RR, 2005, APPL ENVIRON MICROB, V71, P2979, DOI 10.1128/AEM.71.6.2979-2986.2005
Malmstrom RR, 2004, LIMNOL OCEANOGR, V49, P597, DOI 10.4319/lo.2004.49.2.0597
Malmstrom RR, 2004, APPL ENVIRON MICROB, V70, P4129, DOI 10.1128/AEM.70.7.4129-4135.2004
Moeseneder MM, 2005, FEMS MICROBIOL ECOL, V51, P341, DOI 10.1016/j.femsec.2004.09.012
Moeseneder MM, 2001, LIMNOL OCEANOGR, V46, P95, DOI 10.4319/lo.2001.46.1.0095
Moran MA, 2004, NATURE, V432, P910, DOI 10.1038/nature03170
Morris RM, 2002, NATURE, V420, P806, DOI 10.1038/nature01240
MUYZER G, 1993, APPL ENVIRON MICROB, V59, P695, DOI 10.1128/AEM.59.3.695-700.1993
Nelson CE, 2005, LIMNOL OCEANOGR-METH, V3, P211, DOI 10.4319/lom.2005.3.211
OLSEN GJ, 1986, ANNU REV MICROBIOL, V40, P337, DOI 10.1146/annurev.mi.40.100186.002005
Ouverney CC, 1999, APPL ENVIRON MICROB, V65, P1746
Page RDM, 1996, COMPUT APPL BIOSCI, V12, P357
Pernthaler A, 2002, APPL ENVIRON MICROB, V68, P5728, DOI 10.1128/AEM.68.11.5728-5736.2002
POLLARD PC, 1984, APPL ENVIRON MICROB, V48, P1076, DOI 10.1128/AEM.48.6.1076-1083.1984
PORTER KG, 1980, LIMNOL OCEANOGR, V25, P943, DOI 10.4319/lo.1980.25.5.0943
Radajewski S, 2000, NATURE, V403, P646, DOI 10.1038/35001054
Rappé MS, 2002, NATURE, V418, P630, DOI 10.1038/nature00917
Riemann L, 2000, APPL ENVIRON MICROB, V66, P578, DOI 10.1128/AEM.66.2.578-587.2000
Schäfer H, 2001, FEMS MICROBIOL ECOL, V34, P243, DOI 10.1016/S0168-6496(00)00102-1
Selje N, 2004, NATURE, V427, P445, DOI 10.1038/nature02272
Steward GF, 1999, AQUAT MICROB ECOL, V19, P57, DOI 10.3354/ame019057
SUGIMURA Y, 1988, MAR CHEM, V24, P105, DOI 10.1016/0304-4203(88)90043-6
SUZUKI R, 1990, Journal of the Oceanographical Society of Japan, V46, P190, DOI 10.1007/BF02125580
Teske A, 1996, APPL ENVIRON MICROB, V62, P1405, DOI 10.1128/AEM.62.4.1405-1415.1996
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Thompson JR, 2005, SCIENCE, V307, P1311, DOI 10.1126/science.1106028
Tillett D, 2000, J PHYCOL, V36, P251, DOI 10.1046/j.1529-8817.2000.99079.x
Troussellier M, 2002, AQUAT MICROB ECOL, V28, P13, DOI 10.3354/ame028013
Urbach E, 1999, APPL ENVIRON MICROB, V65, P1207
VANFURTH R, 1988, J IMMUNOL METHODS, V108, P45, DOI 10.1016/0022-1759(88)90401-2
Yin B, 2000, APPL ENVIRON MICROB, V66, P4361, DOI 10.1128/AEM.66.10.4361-4365.2000
Zubkov MV, 2001, ENVIRON MICROBIOL, V3, P304, DOI 10.1046/j.1462-2920.2001.00196.x
NR 61
TC 48
Z9 52
PD MAY
PY 2007
VL 73
IS 9
BP 2787
EP 2798
DI 10.1128/AEM.02111-06
UT WOS:000246238500003
DA 2025-07-30
ER
PT J
AU Pachiadaki, MG
Brown, JM
Brown, J
Bezuidt, O
Berube, PM
Biller, SJ
Poulton, NJ
Burkart, MD
La Clair, JJ
Chisholm, SW
Stepanauskas, R
AF Pachiadaki, Maria G.
Brown, Julia M.
Brown, Joseph
Bezuidt, Oliver
Berube, Paul M.
Biller, Steven J.
Poulton, Nicole J.
Burkart, Michael D.
La Clair, James J.
Chisholm, Sallie W.
Stepanauskas, Ramunas
TI Charting the Complexity of the Marine Microbiome through Single-Cell
Genomics
SO CELL
DT Article
AB Marine bacteria and archaea play key roles in global biogeochemistry. To improve our understanding of this complex microbiome, we employed single-cell genomics and a randomized, hypothesis-agnostic cell selection strategy to recover 12,715 partial genomes from the tropical and subtropical euphotic ocean. A substantial fraction of known prokaryoplankton coding potential was recovered from a single, 0.4 mL ocean sample, which indicates that genomic information disperses effectively across the globe. Yet, we found each genome to be unique, implying limited clonality within prokaryoplankton populations. Light harvesting and secondary metabolite biosynthetic pathways were numerous across lineages, highlighting the value of single-cell genomics to advance the identification of ecological roles and biotechnology potential of uncultured microbial groups. This genome collection enabled functional annotation and genus-level taxonomic assignments for >80% of individual metagenome reads from the tropical and subtropical surface ocean, thus offering a model to improve reference genome databases for complex microbiomes.
C1 [Pachiadaki, Maria G.; Brown, Julia M.; Brown, Joseph; Bezuidt, Oliver; Poulton, Nicole J.; Stepanauskas, Ramunas] Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
[Pachiadaki, Maria G.] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA.
[Berube, Paul M.; Biller, Steven J.; Chisholm, Sallie W.] MIT, Dept Civil & Environm Engn, Cambridge, MA 02142 USA.
[Burkart, Michael D.; La Clair, James J.] Univ Calif San Diego, Dept Chem & Biochem, La Jolla, CA 92093 USA.
[Chisholm, Sallie W.] MIT, Dept Biol, Cambridge, MA 02142 USA.
[Biller, Steven J.] Wellesley Coll, Dept Biol Sci, Wellesley, MA 02481 USA.
RP Stepanauskas, R (corresponding author), Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA.
EM rstepanauskas@bigelow.org
CR Amoutzias GD, 2016, MAR DRUGS, V14, DOI 10.3390/md14040080
Anantharaman K, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13219
Apweiler R, 2004, NUCLEIC ACIDS RES, V32, pD115, DOI [10.1093/nar/gkh131, 10.1093/nar/gkw1099]
Bankevich A, 2012, J COMPUT BIOL, V19, P455, DOI 10.1089/cmb.2012.0021
Béjà O, 2000, SCIENCE, V289, P1902, DOI 10.1126/science.289.5486.1902
Beld J, 2014, NAT PROD REP, V31, P61, DOI 10.1039/c3np70054b
Berube PM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.154
Biller SJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.176
Blin K, 2017, NUCLEIC ACIDS RES, V45, pW36, DOI 10.1093/nar/gkx319
Calder PC, 2015, BBA-MOL CELL BIOL L, V1851, P469, DOI 10.1016/j.bbalip.2014.08.010
Canfield DE, 2010, SCIENCE, V330, P1375, DOI 10.1126/science.1196889
Cavicchioli R, 2019, NAT REV MICROBIOL, V17, P569, DOI 10.1038/s41579-019-0222-5
Choi J, 2017, ISME J, V11, P829, DOI 10.1038/ismej.2016.168
Ciufo S, 2018, INT J SYST EVOL MICR, V68, P2386, DOI 10.1099/ijsem.0.002809
Daims H, 2015, NATURE, V528, P504, DOI 10.1038/nature16461
Delmont TO, 2018, NAT MICROBIOL, V3, P804, DOI 10.1038/s41564-018-0176-9
DeLong EF, 2006, SCIENCE, V311, P496, DOI 10.1126/science.1120250
Falkowski PG, 2008, SCIENCE, V320, P1034, DOI 10.1126/science.1153213
Fenical W, 2006, NAT CHEM BIOL, V2, P666, DOI 10.1038/nchembio841
Francis CA, 2005, P NATL ACAD SCI USA, V102, P14683, DOI 10.1073/pnas.0506625102
Garcia SL, 2018, ISME J, V12, P742, DOI 10.1038/s41396-017-0001-0
Gerwick WH, 2012, CHEM BIOL, V19, P85, DOI 10.1016/j.chembiol.2011.12.014
GIOVANNONI SJ, 1990, NATURE, V345, P60, DOI 10.1038/345060a0
Giovannoni SJ, 2017, ANNU REV MAR SCI, V9, P231, DOI 10.1146/annurev-marine-010814-015934
Giovannoni SJ, 2014, ISME J, V8, P1553, DOI 10.1038/ismej.2014.60
GISH W, 1993, NAT GENET, V3, P266, DOI 10.1038/ng0393-266
Gómez-Consarnau L, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw8855
Good BH, 2017, NATURE, V551, P45, DOI 10.1038/nature24287
Graham ED, 2018, ISME J, V12, P1861, DOI 10.1038/s41396-018-0091-3
Handelsman J, 2004, MICROBIOL MOL BIOL R, V68, P669, DOI 10.1128/MMBR.68.4.669-685.2004
Harvey AL, 2015, NAT REV DRUG DISCOV, V14, P111, DOI 10.1038/nrd4510
Helfrich EJN, 2019, NAT CHEM BIOL, V15, P813, DOI 10.1038/s41589-019-0313-7
Hertweck C, 2009, ANGEW CHEM INT EDIT, V48, P4688, DOI 10.1002/anie.200806121
Hewson I, 2009, LIMNOL OCEANOGR, V54, P1981, DOI 10.4319/lo.2009.54.6.1981
Hider RC, 2010, NAT PROD REP, V27, P637, DOI 10.1039/b906679a
Hunter JD, 2007, COMPUT SCI ENG, V9, P90, DOI 10.1109/MCSE.2007.55
Hyatt D, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-119
Ishoey T, 2008, CURR OPIN MICROBIOL, V11, P198, DOI 10.1016/j.mib.2008.05.006
Jain C, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-07641-9
Karpinski TM, 2019, MAR DRUGS, V17, DOI 10.3390/md17040241
Kashtan N, 2017, ISME J, V11, P1997, DOI 10.1038/ismej.2017.64
Kashtan N, 2014, SCIENCE, V344, P416, DOI 10.1126/science.1248575
KIMURA M, 1980, J MOL EVOL, V16, P111, DOI 10.1007/BF01731581
Klemetsen T, 2018, NUCLEIC ACIDS RES, V46, pD692, DOI 10.1093/nar/gkx1036
Koblízek M, 2015, FEMS MICROBIOL REV, V39, P854, DOI 10.1093/femsre/fuv032
Könneke M, 2005, NATURE, V437, P543, DOI 10.1038/nature03911
Konstantinidis KT, 2006, PHILOS T R SOC B, V361, P1929, DOI 10.1098/rstb.2006.1920
Konstantinidis KT, 2005, P NATL ACAD SCI USA, V102, P2567, DOI 10.1073/pnas.0409727102
Ksionzek KB, 2016, SCIENCE, V354, P456, DOI 10.1126/science.aaf7796
Kumar S, 2018, MOL BIOL EVOL, V35, P1547, DOI 10.1093/molbev/msy096
Lanzén A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0049334
Le SQ, 2008, MOL BIOL EVOL, V25, P1307, DOI 10.1093/molbev/msn067
Lee MD, 2019, EVOL BIOINFORM, V15, DOI 10.1177/1176934319862245
Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
Li JH, 2014, NAT BIOTECHNOL, V32, P834, DOI 10.1038/nbt.2942
Locey KJ, 2016, P NATL ACAD SCI USA, V113, P5970, DOI 10.1073/pnas.1521291113
Magoc T, 2011, BIOINFORMATICS, V27, P2957, DOI 10.1093/bioinformatics/btr507
Malmstrom RR, 2013, ISME J, V7, P184, DOI 10.1038/ismej.2012.89
Mende DR, 2017, NAT MICROBIOL, V2, P1367, DOI 10.1038/s41564-017-0008-3
Menzel P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11257
Nayfach S, 2016, GENOME RES, V26, P1612, DOI 10.1101/gr.201863.115
Pachiadaki MG, 2017, SCIENCE, V358, P1046, DOI 10.1126/science.aan8260
Parks DH, 2017, NAT MICROBIOL, V2, P1533, DOI 10.1038/s41564-017-0012-7
Parks DH, 2015, GENOME RES, V25, P1043, DOI 10.1101/gr.186072.114
Pinhassi J, 2016, MICROBIOL MOL BIOL R, V80, DOI 10.1128/MMBR.00003-16
Price MN, 2009, MOL BIOL EVOL, V26, P1641, DOI 10.1093/molbev/msp077
Pruesse E, 2012, BIOINFORMATICS, V28, P1823, DOI 10.1093/bioinformatics/bts252
Rappé MS, 2003, ANNU REV MICROBIOL, V57, P369, DOI 10.1146/annurev.micro.57.030502.090759
Reintjes G., 2019, APPL ENVIRON MICROB, V85
Rigali S, 2018, BIOCHEM PHARMACOL, V153, P24, DOI 10.1016/j.bcp.2018.01.007
Rinke C, 2013, NATURE, V499, P431, DOI 10.1038/nature12352
Rusch DB, 2007, PLOS BIOL, V5, P398, DOI 10.1371/journal.pbio.0050077
Sczyrba A, 2017, NAT METHODS, V14, P1063, DOI [10.1038/NMETH.4458, 10.1038/nmeth.4458]
Seeleuthner Y, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02235-3
Seemann T, 2014, BIOINFORMATICS, V30, P2068, DOI 10.1093/bioinformatics/btu153
Shapiro BJ, 2012, SCIENCE, V336, P48, DOI 10.1126/science.1218198
Sievers F, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.75
Smith JM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0108173
Sorensen JW, 2019, NAT MICROBIOL, V4, P55, DOI 10.1038/s41564-018-0276-6
Stamatakis A, 2014, BIOINFORMATICS, V30, P1312, DOI 10.1093/bioinformatics/btu033
Steinegger M, 2017, NAT BIOTECHNOL, V35, P1026, DOI 10.1038/nbt.3988
Stepanauskas R, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00128-z
Stepanauskas R, 2012, CURR OPIN MICROBIOL, V15, P613, DOI 10.1016/j.mib.2012.09.001
Sunagawa S, 2015, SCIENCE, V348, DOI 10.1126/science.1261359
Suyama M, 2006, NUCLEIC ACIDS RES, V34, pW609, DOI 10.1093/nar/gkl315
Swan BK, 2013, P NATL ACAD SCI USA, V110, P11463, DOI 10.1073/pnas.1304246110
Swan BK, 2011, SCIENCE, V333, P1296, DOI 10.1126/science.1203690
Tamura K, 2013, MOL BIOL EVOL, V30, P2725, DOI [10.1093/molbev/mst197, 10.1093/molbev/msr121]
THOMPSON JD, 1994, NUCLEIC ACIDS RES, V22, P4673, DOI 10.1093/nar/22.22.4673
Tripp HJ, 2008, NATURE, V452, P741, DOI 10.1038/nature06776
Tsementzi D, 2016, NATURE, V536, P179, DOI 10.1038/nature19068
Tully BJ, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.203
Tyson GW, 2004, NATURE, V428, P37, DOI 10.1038/nature02340
Venter JC, 2004, SCIENCE, V304, P66, DOI 10.1126/science.1093857
Wickham H, 2011, WIRES COMPUT STAT, V3, P180, DOI 10.1002/wics.147
Wolf Yuri I, 2016, Nat Microbiol, V2, P16208, DOI 10.1038/nmicrobiol.2016.208
Woyke T, 2017, NAT METHODS, V14, P1045, DOI [10.1038/nmeth.4469, 10.1038/NMETH.4469]
Woyke T, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005299
Wuchter C, 2007, P NATL ACAD SCI USA, V104, P5704, DOI 10.1073/pnas.0701630104
Yamada Y, 2015, P NATL ACAD SCI USA, V112, P857, DOI 10.1073/pnas.1422108112
Yang ZH, 2000, MOL BIOL EVOL, V17, P32, DOI 10.1093/oxfordjournals.molbev.a026236
Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
Zakem EJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03553-w
NR 103
TC 137
Z9 148
PD DEC 12
PY 2019
VL 179
IS 7
BP 1623
EP +
DI 10.1016/j.cell.2019.11.017
UT WOS:000502546200018
DA 2025-07-30
ER
EF