期刊
ENVIRONMENTAL MICROBIOLOGY
卷 17, 期 10, 页码 3642-3661出版社
WILEY
DOI: 10.1111/1462-2920.12629
关键词
-
类别
资金
- National Sciences and Engineering Researh Council of Canada [DG402214-2011, DG298294-2009]
- Canada Research Chairs Program [950-221184]
- Canadian Institutes of Health Research [CMF-108026]
- Bedford Basin Monitoring Program of Fisheries and Oceans Canada
- Atlantic Computational Excellence Network (ACEnet)
- Tula Foundation
Temperate oceans are inhabited by diverse and temporally dynamic bacterioplankton communities. However, the role of the environment, resources and phytoplankton dynamics in shaping marine bacterioplankton communities at different time scales remains poorly constrained. Here, we combined time series observations (time scales of weeks to years) with molecular analysis of formalin-fixed samples from a coastal inlet of the north-west Atlantic Ocean to show that a combination of temperature, nitrate, small phytoplankton and Synechococcus abundances are best predictors for annual bacterioplankton community variability, explaining 38% of the variation. Using Bayesian mixed modelling, we identified assemblages of co-occurring bacteria associated with different seasonal periods, including the spring bloom (e.g. Polaribacter, Ulvibacter, Alteromonadales and ARCTIC96B-16) and the autumn bloom (e.g. OM42, OM25, OM38 and Arctic96A-1 clades of Alphaproteobacteria, and SAR86, OM60 and SAR92 clades of Gammaproteobacteria). Community variability over spring bloom development was best explained by silicate (32%) - an indication of rapid succession of bacterial taxa in response to diatom biomass - while nanophytoplankton as well as picophytoplankton abundance explained community variability (16-27%) over the transition into and out of the autumn bloom. Moreover, the seasonal structure was punctuated with short-lived blooms of rare bacteria including the KSA-1 clade of Sphingobacteria related to aromatic hydrocarbon-degrading bacteria.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据