Defining seasonal marine microbial community dynamics

被引:797
作者
Gilbert, Jack A. [1 ,2 ,3 ]
Steele, Joshua A. [4 ]
Caporaso, J. Gregory [5 ]
Steinbrueck, Lars [6 ]
Reeder, Jens [5 ]
Temperton, Ben [2 ]
Huse, Susan [7 ]
McHardy, Alice C. [6 ,8 ]
Knight, Rob [5 ,9 ]
Joint, Ian [2 ]
Somerfield, Paul [2 ]
Fuhrman, Jed A. [4 ]
Field, Dawn [10 ]
机构
[1] Argonne Natl Lab, Inst Genom & Syst Biol, Argonne, IL 60439 USA
[2] Plymouth Marine Lab, Plymouth, Devon, England
[3] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA
[4] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA
[5] Univ Colorado, Dept Chem & Biochem, Boulder, CO 80309 USA
[6] Univ Dusseldorf, Dept Algorithm Bioinformat, D-40225 Dusseldorf, Germany
[7] Marine Biol Lab, Josephine Bay Paul Ctr Comparat Mol Biol & Evolut, Woods Hole, MA USA
[8] Max Planck Res Grp Computat Genom & Epidemiol, Max Planck Inst Informat, Saarbrucken, Germany
[9] Univ Colorado, Howard Hughes Med Inst, Boulder, CO 80309 USA
[10] NERC Ctr Ecol & Hydrol, Wallingford, Oxon, England
关键词
16S rRNA; microbial; bacteria; community; diversity; model; RIBOSOMAL-RNA SEQUENCES; WESTERN ENGLISH-CHANNEL; BACTERIAL COMMUNITIES; RARE BIOSPHERE; DIVERSITY; TEMPERATURE; ATLANTIC; TAXONOMY; DATABASE; PACIFIC;
D O I
10.1038/ismej.2011.107
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Here we describe, the longest microbial time-series analyzed to date using high-resolution 16S rRNA tag pyrosequencing of samples taken monthly over 6 years at a temperate marine coastal site off Plymouth, UK. Data treatment effected the estimation of community richness over a 6-year period, whereby 8794 operational taxonomic units (OTUs) were identified using single-linkage preclustering and 21 130 OTUs were identified by denoising the data. The Alphaproteobacteria were the most abundant Class, and the most frequently recorded OTUs were members of the Rickettsiales (SAR 11) and Rhodobacteriales. This near-surface ocean bacterial community showed strong repeatable seasonal patterns, which were defined by winter peaks in diversity across all years. Environmental variables explained far more variation in seasonally predictable bacteria than did data on protists or metazoan biomass. Change in day length alone explains >65% of the variance in community diversity. The results suggested that seasonal changes in environmental variables are more important than trophic interactions. Interestingly, microbial association network analysis showed that correlations in abundance were stronger within bacterial taxa rather than between bacteria and eukaryotes, or between bacteria and environmental variables. The ISME Journal (2012) 6, 298-308; doi: 10.1038/ismej.2011.107; published online 18 August 2011
引用
收藏
页码:298 / 308
页数:11
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