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Contemporary environmental variation determines microbial diversity patterns in acid mine drainage

A wide array of microorganisms survive and thrive in extreme environments. However, we know little about the patterns of, and controls over, their large-scale ecological distribution. To this end, we have applied a bar-coded 16S rRNA pyrosequencing technology to explore the phylogenetic differentiat...

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Autores principales: Kuang, Jia-Liang, Huang, Li-Nan, Chen, Lin-Xing, Hua, Zheng-Shuang, Li, Sheng-Jin, Hu, Min, Li, Jin-Tian, Shu, Wen-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635239/
https://www.ncbi.nlm.nih.gov/pubmed/23178673
http://dx.doi.org/10.1038/ismej.2012.139
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author Kuang, Jia-Liang
Huang, Li-Nan
Chen, Lin-Xing
Hua, Zheng-Shuang
Li, Sheng-Jin
Hu, Min
Li, Jin-Tian
Shu, Wen-Sheng
author_facet Kuang, Jia-Liang
Huang, Li-Nan
Chen, Lin-Xing
Hua, Zheng-Shuang
Li, Sheng-Jin
Hu, Min
Li, Jin-Tian
Shu, Wen-Sheng
author_sort Kuang, Jia-Liang
collection PubMed
description A wide array of microorganisms survive and thrive in extreme environments. However, we know little about the patterns of, and controls over, their large-scale ecological distribution. To this end, we have applied a bar-coded 16S rRNA pyrosequencing technology to explore the phylogenetic differentiation among 59 microbial communities from physically and geochemically diverse acid mine drainage (AMD) sites across Southeast China, revealing for the first time environmental variation as the major factor explaining community differences in these harsh environments. Our data showed that overall microbial diversity estimates, including phylogenetic diversity, phylotype richness and pairwise UniFrac distance, were largely correlated with pH conditions. Furthermore, multivariate regression tree analysis also identified solution pH as a strong predictor of relative lineage abundance. Betaproteobacteria, mostly affiliated with the ‘Ferrovum' genus, were explicitly predominant in assemblages under moderate pH conditions, whereas Alphaproteobacteria, Euryarchaeota, Gammaproteobacteria and Nitrospira exhibited a strong adaptation to more acidic environments. Strikingly, such pH-dependent patterns could also be observed in a subsequent comprehensive analysis of the environmental distribution of acidophilic microorganisms based on 16S rRNA gene sequences previously retrieved from globally distributed AMD and associated environments, regardless of the long-distance isolation and the distinct substrate types. Collectively, our results suggest that microbial diversity patterns are better predicted by contemporary environmental variation rather than geographical distance in extreme AMD systems.
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spelling pubmed-36352392013-05-01 Contemporary environmental variation determines microbial diversity patterns in acid mine drainage Kuang, Jia-Liang Huang, Li-Nan Chen, Lin-Xing Hua, Zheng-Shuang Li, Sheng-Jin Hu, Min Li, Jin-Tian Shu, Wen-Sheng ISME J Original Article A wide array of microorganisms survive and thrive in extreme environments. However, we know little about the patterns of, and controls over, their large-scale ecological distribution. To this end, we have applied a bar-coded 16S rRNA pyrosequencing technology to explore the phylogenetic differentiation among 59 microbial communities from physically and geochemically diverse acid mine drainage (AMD) sites across Southeast China, revealing for the first time environmental variation as the major factor explaining community differences in these harsh environments. Our data showed that overall microbial diversity estimates, including phylogenetic diversity, phylotype richness and pairwise UniFrac distance, were largely correlated with pH conditions. Furthermore, multivariate regression tree analysis also identified solution pH as a strong predictor of relative lineage abundance. Betaproteobacteria, mostly affiliated with the ‘Ferrovum' genus, were explicitly predominant in assemblages under moderate pH conditions, whereas Alphaproteobacteria, Euryarchaeota, Gammaproteobacteria and Nitrospira exhibited a strong adaptation to more acidic environments. Strikingly, such pH-dependent patterns could also be observed in a subsequent comprehensive analysis of the environmental distribution of acidophilic microorganisms based on 16S rRNA gene sequences previously retrieved from globally distributed AMD and associated environments, regardless of the long-distance isolation and the distinct substrate types. Collectively, our results suggest that microbial diversity patterns are better predicted by contemporary environmental variation rather than geographical distance in extreme AMD systems. Nature Publishing Group 2013-05 2012-11-22 /pmc/articles/PMC3635239/ /pubmed/23178673 http://dx.doi.org/10.1038/ismej.2012.139 Text en Copyright © 2013 International Society for Microbial Ecology http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Original Article
Kuang, Jia-Liang
Huang, Li-Nan
Chen, Lin-Xing
Hua, Zheng-Shuang
Li, Sheng-Jin
Hu, Min
Li, Jin-Tian
Shu, Wen-Sheng
Contemporary environmental variation determines microbial diversity patterns in acid mine drainage
title Contemporary environmental variation determines microbial diversity patterns in acid mine drainage
title_full Contemporary environmental variation determines microbial diversity patterns in acid mine drainage
title_fullStr Contemporary environmental variation determines microbial diversity patterns in acid mine drainage
title_full_unstemmed Contemporary environmental variation determines microbial diversity patterns in acid mine drainage
title_short Contemporary environmental variation determines microbial diversity patterns in acid mine drainage
title_sort contemporary environmental variation determines microbial diversity patterns in acid mine drainage
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635239/
https://www.ncbi.nlm.nih.gov/pubmed/23178673
http://dx.doi.org/10.1038/ismej.2012.139
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