Abstract

Microbes are the most abundant and diverse organisms on Earth. In contrast to macroscopic organisms, their environmental preferences and ecological interdependencies remain difficult to assess, requiring laborious molecular surveys at diverse sampling sites. Here, we present a global meta-analysis of previously sampled microbial lineages in the environment. We grouped publicly available 16S ribosomal RNA sequences into operational taxonomic units at various levels of resolution and systematically searched these for co-occurrence across environments. Naturally occurring microbes, indeed, exhibited numerous, significant interlineage associations. These ranged from relatively specific groupings encompassing only a few lineages, to larger assemblages of microbes with shared habitat preferences. Many of the coexisting lineages were phylogenetically closely related, but a significant number of distant associations were observed as well. The increased availability of completely sequenced genomes allowed us, for the first time, to search for genomic correlates of such ecological associations. Genomes from coexisting microbes tended to be more similar than expected by chance, both with respect to pathway content and genome size, and outliers from these trends are discussed. We hypothesize that groupings of lineages are often ancient, and that they may have significantly impacted on genome evolution.

Keywords

BiologyGenomeEvolutionary biologyPhylogeneticsPhylogenetic treeTaxonomic rankRibosomal RNAEcologyMetagenomicsGeneticsComputational biologyGeneTaxon

MeSH Terms

Base SequenceCluster AnalysisEnvironmentEvolutionMolecularGenomeGeographyMeta-Analysis as TopicMetagenomicsMicrobial InteractionsModelsBiologicalMolecular Sequence DataRNARibosomal16SSequence AnalysisDNA

Affiliated Institutions

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Publication Info

Year
2010
Type
article
Volume
20
Issue
7
Pages
947-959
Citations
520
Access
Closed

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520
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12
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423
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Cite This

Samuel Chaffron, Hubert Rehrauer, Jakob Pernthaler et al. (2010). A global network of coexisting microbes from environmental and whole-genome sequence data. Genome Research , 20 (7) , 947-959. https://doi.org/10.1101/gr.104521.109

Identifiers

DOI
10.1101/gr.104521.109
PMID
20458099
PMCID
PMC2892096

Data Quality

Data completeness: 86%