Substrate type determines metagenomic profiles from diverse chemical habitats

Thomas C. Jeffries, Justin R. Seymour, Jack A. Gilbert, Elizabeth A. Dinsdale, Kelly Newton, Sophie S. C. Leterme, Ben Roudnew, Renee J. Smith, Laurent Seuront, James G. Mitchell

    Research output: Contribution to journalArticlepeer-review

    24 Citations (Scopus)

    Abstract

    Environmental parameters drive phenotypic and genotypic frequency variations in microbial communities and thus control the extent and structure of microbial diversity. We tested the extent to which microbial community composition changes are controlled by shifting physiochemical properties within a hypersaline lagoon. We sequenced four sediment metagenomes from the Coorong, South Australia from samples which varied in salinity by 99 Practical Salinity Units (PSU), an order of magnitude in ammonia concentration and two orders of magnitude in microbial abundance. Despite the marked divergence in environmental parameters observed between samples, hierarchical clustering of taxonomic and metabolic profiles of these metagenomes showed striking similarity between the samples (>89%). Comparison of these profiles to those derived from a wide variety of publically available datasets demonstrated that the Coorong sediment metagenomes were similar to other sediment, soil, biofilm and microbial mat samples regardless of salinity (>85% similarity). Overall, clustering of solid substrate and water metagenomes into discrete similarity groups based on functional potential indicated that the dichotomy between water and solid matrices is a fundamental determinant of community microbial metabolism that is not masked by salinity, nutrient concentration or microbial abundance.
    Original languageEnglish
    Article numbere25173
    Number of pages9
    JournalPLoS One
    Volume6
    Issue number9
    DOIs
    Publication statusPublished - 2011

    Open Access - Access Right Statement

    Copyright: 2011 Jeffries et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

    Keywords

    • Coorong, The (S.A.)
    • metagenomics
    • microbial diversity
    • phenotype

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