2017
DOI: 10.1101/170639
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The global biogeography of amino acid variants within a single SAR11 population is governed by natural selection

Abstract: The diversity and geographical distribution of populations within major marine microbial lineages are largely governed by temperature and its co-variables. However, neither the mechanisms by which genomic heterogeneity emerges within a single population nor how it drives the partitioning of ecological niches are well understood.. Here we took advantage of billions of metagenomic reads to study one of the most abundant and widespread microbial populations in the surface ocean. We characterized its substantial a… Show more

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Cited by 8 publications
(4 citation statements)
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“…The panels below the trees indicate the % identity (green = 100% while yellow is <100%) and the SNVs of 16S rRNA genes from 21 isolated SAR11 strains and OTUs used in the phylogenetic trees generated from the V4-V5 (B) and the V6-V8 (C) hypervariable regions compared to the reference strain HIMB083 that is widely distributed in the ocean (Delmont et al . 2017).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The panels below the trees indicate the % identity (green = 100% while yellow is <100%) and the SNVs of 16S rRNA genes from 21 isolated SAR11 strains and OTUs used in the phylogenetic trees generated from the V4-V5 (B) and the V6-V8 (C) hypervariable regions compared to the reference strain HIMB083 that is widely distributed in the ocean (Delmont et al . 2017).…”
Section: Resultsmentioning
confidence: 99%
“…The fact that the V6-V8 variable region may be more effective at capturing the taxonomic diversity of the SAR11 clade than the V4V5 variable region is important given the dominance and versatility of this clade in the marine ecosystem (Delmont et al . 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Metagenomic sequencing efforts have demonstrated bacterial-mediated chemical cycling in frost flowers (Bowman et al 2014) and the importance of select photoreceptors in Antarctic and Arctic sea ice (Koh et al 2010;Vader et al 2018). With increasing throughput of sequence generation and decreasing costs, deep sequencing (i.e., sequencing the same locus multiple times) of the environment should allow comparative studies of full metagenomes to describe the metabolic potential (including uncultured strains) and strain level microbial diversity (e.g., Delmont et al 2017) in sea ice ecosystems.…”
Section: Advances In Microbial Ecologymentioning
confidence: 99%
“…Recently, the use of metagenomic data has been proposed to identify natural selection in prokaryotes (Costea et al, 2017;Delmont et al, 2017;Schloissnig et al, 2013). A similar approach has also been applied to the widespread marine copepod Oithona (Madoui et al, 2017) to establish a population genomic analysis at the whole-genome level.…”
Section: Introductionmentioning
confidence: 99%