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Abstract It has been long debated as to whether marine microorganisms have a ubiquitous distribution or patterns of biogeography, but recently a consensus for the existence of microbial biogeography is emerging. However, the factors controlling the distribution of marine bacteria remain poorly understood. In this study, we combine pyrosequencing and traditional Sanger sequencing of the 16S rRNA gene to describe in detail bacterial communities from the deep Arctic Ocean. We targeted three separate water masses, from three oceanic basins and show that bacteria in the Arctic Ocean have a biogeography. The biogeographical distribution of bacteria was explained by the hydrography of the Arctic Ocean and subsequent circulation of its water masses. Overall, this first taxonomic description of deep Arctic bacteria communities revealed an abundant presence of SAR11 (Alphaproteobacteria), SAR406, SAR202 (Chloroflexi) and SAR324 (Deltaproteobacteria) clusters. Within each cluster, the abundance of specific phylotypes significantly varied among water masses. Water masses probably act as physical barriers limiting the dispersal and controlling the diversity of bacteria in the ocean. Consequently, marine microbial biogeography involves more than geographical distances, as it is also dynamically associated with oceanic processes. Our ocean scale study suggests that it is essential to consider the coupling between microbial and physical oceanography to fully understand the diversity and function of marine microbes.
DNA, Bacterial, Bacteria, Geography, Arctic Regions, Molecular Sequence Data, Pyrosequencing, Biodiversity, Sequence Analysis, DNA, DNA, Ribosomal, Dark ocean, Biogeography, RNA, Ribosomal, 16S, Arctic Ocean, Cluster Analysis, Seawater, Water mass, Phylogeny
DNA, Bacterial, Bacteria, Geography, Arctic Regions, Molecular Sequence Data, Pyrosequencing, Biodiversity, Sequence Analysis, DNA, DNA, Ribosomal, Dark ocean, Biogeography, RNA, Ribosomal, 16S, Arctic Ocean, Cluster Analysis, Seawater, Water mass, Phylogeny
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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