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Microbial communities evolve faster in extreme environments

Evolutionary analysis of microbes at the community level represents a new research avenue linking ecological patterns to evolutionary processes, but remains insufficiently studied. Here we report a relative evolutionary rates (rERs) analysis of microbial communities from six diverse natural environm...

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Autores principales: Li, Sheng-Jin, Hua, Zheng-Shuang, Huang, Li-Nan, Li, Jie, Shi, Su-Hua, Chen, Lin-Xing, Kuang, Jia-Liang, Liu, Jun, Hu, Min, Shu, Wen-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145313/
https://www.ncbi.nlm.nih.gov/pubmed/25158668
http://dx.doi.org/10.1038/srep06205
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author Li, Sheng-Jin
Hua, Zheng-Shuang
Huang, Li-Nan
Li, Jie
Shi, Su-Hua
Chen, Lin-Xing
Kuang, Jia-Liang
Liu, Jun
Hu, Min
Shu, Wen-Sheng
author_facet Li, Sheng-Jin
Hua, Zheng-Shuang
Huang, Li-Nan
Li, Jie
Shi, Su-Hua
Chen, Lin-Xing
Kuang, Jia-Liang
Liu, Jun
Hu, Min
Shu, Wen-Sheng
author_sort Li, Sheng-Jin
collection PubMed
description Evolutionary analysis of microbes at the community level represents a new research avenue linking ecological patterns to evolutionary processes, but remains insufficiently studied. Here we report a relative evolutionary rates (rERs) analysis of microbial communities from six diverse natural environments based on 40 metagenomic samples. We show that the rERs of microbial communities are mainly shaped by environmental conditions, and the microbes inhabiting extreme habitats (acid mine drainage, saline lake and hot spring) evolve faster than those populating benign environments (surface ocean, fresh water and soil). These findings were supported by the observation of more relaxed purifying selection and potentially frequent horizontal gene transfers in communities from extreme habitats. The mechanism of high rERs was proposed as high mutation rates imposed by stressful conditions during the evolutionary processes. This study brings us one stage closer to an understanding of the evolutionary mechanisms underlying the adaptation of microbes to extreme environments.
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spelling pubmed-41453132014-09-02 Microbial communities evolve faster in extreme environments Li, Sheng-Jin Hua, Zheng-Shuang Huang, Li-Nan Li, Jie Shi, Su-Hua Chen, Lin-Xing Kuang, Jia-Liang Liu, Jun Hu, Min Shu, Wen-Sheng Sci Rep Article Evolutionary analysis of microbes at the community level represents a new research avenue linking ecological patterns to evolutionary processes, but remains insufficiently studied. Here we report a relative evolutionary rates (rERs) analysis of microbial communities from six diverse natural environments based on 40 metagenomic samples. We show that the rERs of microbial communities are mainly shaped by environmental conditions, and the microbes inhabiting extreme habitats (acid mine drainage, saline lake and hot spring) evolve faster than those populating benign environments (surface ocean, fresh water and soil). These findings were supported by the observation of more relaxed purifying selection and potentially frequent horizontal gene transfers in communities from extreme habitats. The mechanism of high rERs was proposed as high mutation rates imposed by stressful conditions during the evolutionary processes. This study brings us one stage closer to an understanding of the evolutionary mechanisms underlying the adaptation of microbes to extreme environments. Nature Publishing Group 2014-08-27 /pmc/articles/PMC4145313/ /pubmed/25158668 http://dx.doi.org/10.1038/srep06205 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Li, Sheng-Jin
Hua, Zheng-Shuang
Huang, Li-Nan
Li, Jie
Shi, Su-Hua
Chen, Lin-Xing
Kuang, Jia-Liang
Liu, Jun
Hu, Min
Shu, Wen-Sheng
Microbial communities evolve faster in extreme environments
title Microbial communities evolve faster in extreme environments
title_full Microbial communities evolve faster in extreme environments
title_fullStr Microbial communities evolve faster in extreme environments
title_full_unstemmed Microbial communities evolve faster in extreme environments
title_short Microbial communities evolve faster in extreme environments
title_sort microbial communities evolve faster in extreme environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145313/
https://www.ncbi.nlm.nih.gov/pubmed/25158668
http://dx.doi.org/10.1038/srep06205
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