Document Detail


A global network of coexisting microbes from environmental and whole-genome sequence data.
MedLine Citation:
PMID:  20458099     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Samuel Chaffron; Hubert Rehrauer; Jakob Pernthaler; Christian von Mering
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-05-10
Journal Detail:
Title:  Genome research     Volume:  20     ISSN:  1549-5469     ISO Abbreviation:  Genome Res.     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2010-07-02     Completed Date:  2010-10-29     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9518021     Medline TA:  Genome Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  947-59     Citation Subset:  IM    
Affiliation:
Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, CH-8057 Zürich, Switzerland.
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MeSH Terms
Descriptor/Qualifier:
Base Sequence
Cluster Analysis
Environment*
Evolution, Molecular
Genome*
Geography
Meta-Analysis as Topic
Metagenomics
Microbial Interactions / genetics*
Models, Biological
Molecular Sequence Data
RNA, Ribosomal, 16S / genetics
Sequence Analysis, DNA*
Chemical
Reg. No./Substance:
0/RNA, Ribosomal, 16S
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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