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Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179486/ https://www.ncbi.nlm.nih.gov/pubmed/21966446 http://dx.doi.org/10.1371/journal.pone.0025173 |
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author | Jeffries, Thomas C. Seymour, Justin R. Gilbert, Jack A. Dinsdale, Elizabeth A. Newton, Kelly Leterme, Sophie S. C. Roudnew, Ben Smith, Renee J. Seuront, Laurent Mitchell, James G. |
author_facet | Jeffries, Thomas C. Seymour, Justin R. Gilbert, Jack A. Dinsdale, Elizabeth A. Newton, Kelly Leterme, Sophie S. C. Roudnew, Ben Smith, Renee J. Seuront, Laurent Mitchell, James G. |
author_sort | Jeffries, Thomas C. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3179486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31794862011-09-30 Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats Jeffries, Thomas C. Seymour, Justin R. Gilbert, Jack A. Dinsdale, Elizabeth A. Newton, Kelly Leterme, Sophie S. C. Roudnew, Ben Smith, Renee J. Seuront, Laurent Mitchell, James G. PLoS One Research Article 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. Public Library of Science 2011-09-23 /pmc/articles/PMC3179486/ /pubmed/21966446 http://dx.doi.org/10.1371/journal.pone.0025173 Text en Jeffries et al. http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Jeffries, Thomas C. Seymour, Justin R. Gilbert, Jack A. Dinsdale, Elizabeth A. Newton, Kelly Leterme, Sophie S. C. Roudnew, Ben Smith, Renee J. Seuront, Laurent Mitchell, James G. Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats |
title | Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats |
title_full | Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats |
title_fullStr | Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats |
title_full_unstemmed | Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats |
title_short | Substrate Type Determines Metagenomic Profiles from Diverse Chemical Habitats |
title_sort | substrate type determines metagenomic profiles from diverse chemical habitats |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179486/ https://www.ncbi.nlm.nih.gov/pubmed/21966446 http://dx.doi.org/10.1371/journal.pone.0025173 |
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