Defining seasonal marine microbial community dynamics
Gilbert, Jack A.; Steele, Joshua A.; Caporaso, J. Gregory; Steinbrück, Lars; Reeder, Jens; Temperton, Ben; Huse, Susan; McHardy, Alice C.; Knight, Rob; Joint, Ian; Somerfield, Paul; Fuhrman, Jed A.; Field, Dawn. 2012 Defining seasonal marine microbial community dynamics. ISME Journal, 6 (2). 298-308. https://doi.org/10.1038/ismej.2011.107
Full text not available from this repository.Abstract/Summary
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.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | https://doi.org/10.1038/ismej.2011.107 |
Programmes: | CEH Topics & Objectives 2009 - 2012 > Biodiversity |
UKCEH and CEH Sections/Science Areas: | Hails |
ISSN: | 1751-7362 |
Additional Information. Not used in RCUK Gateway to Research.: | This is an open access paper. To access full text, click on the Official URL |
Additional Keywords: | 16S rRNA, microbial, bacteria, community, diversity, model |
NORA Subject Terms: | Biology and Microbiology |
Date made live: | 21 Jan 2013 10:14 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/20996 |
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