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Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning

Contamination from anthropogenic activities has significantly impacted Earth’s biosphere. However, knowledge about how environmental contamination affects the biodiversity of groundwater microbiomes and ecosystem functioning remains very limited. Here, we used a comprehensive functional gene array t...

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Autores principales: He, Zhili, Zhang, Ping, Wu, Linwei, Rocha, Andrea M., Tu, Qichao, Shi, Zhou, Wu, Bo, Qin, Yujia, Wang, Jianjun, Yan, Qingyun, Curtis, Daniel, Ning, Daliang, Van Nostrand, Joy D., Wu, Liyou, Yang, Yunfeng, Elias, Dwayne A., Watson, David B., Adams, Michael W. W., Fields, Matthew W., Alm, Eric J., Hazen, Terry C., Adams, Paul D., Arkin, Adam P., Zhou, Jizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821090/
https://www.ncbi.nlm.nih.gov/pubmed/29463661
http://dx.doi.org/10.1128/mBio.02435-17
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author He, Zhili
Zhang, Ping
Wu, Linwei
Rocha, Andrea M.
Tu, Qichao
Shi, Zhou
Wu, Bo
Qin, Yujia
Wang, Jianjun
Yan, Qingyun
Curtis, Daniel
Ning, Daliang
Van Nostrand, Joy D.
Wu, Liyou
Yang, Yunfeng
Elias, Dwayne A.
Watson, David B.
Adams, Michael W. W.
Fields, Matthew W.
Alm, Eric J.
Hazen, Terry C.
Adams, Paul D.
Arkin, Adam P.
Zhou, Jizhong
author_facet He, Zhili
Zhang, Ping
Wu, Linwei
Rocha, Andrea M.
Tu, Qichao
Shi, Zhou
Wu, Bo
Qin, Yujia
Wang, Jianjun
Yan, Qingyun
Curtis, Daniel
Ning, Daliang
Van Nostrand, Joy D.
Wu, Liyou
Yang, Yunfeng
Elias, Dwayne A.
Watson, David B.
Adams, Michael W. W.
Fields, Matthew W.
Alm, Eric J.
Hazen, Terry C.
Adams, Paul D.
Arkin, Adam P.
Zhou, Jizhong
author_sort He, Zhili
collection PubMed
description Contamination from anthropogenic activities has significantly impacted Earth’s biosphere. However, knowledge about how environmental contamination affects the biodiversity of groundwater microbiomes and ecosystem functioning remains very limited. Here, we used a comprehensive functional gene array to analyze groundwater microbiomes from 69 wells at the Oak Ridge Field Research Center (Oak Ridge, TN), representing a wide pH range and uranium, nitrate, and other contaminants. We hypothesized that the functional diversity of groundwater microbiomes would decrease as environmental contamination (e.g., uranium or nitrate) increased or at low or high pH, while some specific populations capable of utilizing or resistant to those contaminants would increase, and thus, such key microbial functional genes and/or populations could be used to predict groundwater contamination and ecosystem functioning. Our results indicated that functional richness/diversity decreased as uranium (but not nitrate) increased in groundwater. In addition, about 5.9% of specific key functional populations targeted by a comprehensive functional gene array (GeoChip 5) increased significantly (P < 0.05) as uranium or nitrate increased, and their changes could be used to successfully predict uranium and nitrate contamination and ecosystem functioning. This study indicates great potential for using microbial functional genes to predict environmental contamination and ecosystem functioning.
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spelling pubmed-58210902018-03-05 Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning He, Zhili Zhang, Ping Wu, Linwei Rocha, Andrea M. Tu, Qichao Shi, Zhou Wu, Bo Qin, Yujia Wang, Jianjun Yan, Qingyun Curtis, Daniel Ning, Daliang Van Nostrand, Joy D. Wu, Liyou Yang, Yunfeng Elias, Dwayne A. Watson, David B. Adams, Michael W. W. Fields, Matthew W. Alm, Eric J. Hazen, Terry C. Adams, Paul D. Arkin, Adam P. Zhou, Jizhong mBio Research Article Contamination from anthropogenic activities has significantly impacted Earth’s biosphere. However, knowledge about how environmental contamination affects the biodiversity of groundwater microbiomes and ecosystem functioning remains very limited. Here, we used a comprehensive functional gene array to analyze groundwater microbiomes from 69 wells at the Oak Ridge Field Research Center (Oak Ridge, TN), representing a wide pH range and uranium, nitrate, and other contaminants. We hypothesized that the functional diversity of groundwater microbiomes would decrease as environmental contamination (e.g., uranium or nitrate) increased or at low or high pH, while some specific populations capable of utilizing or resistant to those contaminants would increase, and thus, such key microbial functional genes and/or populations could be used to predict groundwater contamination and ecosystem functioning. Our results indicated that functional richness/diversity decreased as uranium (but not nitrate) increased in groundwater. In addition, about 5.9% of specific key functional populations targeted by a comprehensive functional gene array (GeoChip 5) increased significantly (P < 0.05) as uranium or nitrate increased, and their changes could be used to successfully predict uranium and nitrate contamination and ecosystem functioning. This study indicates great potential for using microbial functional genes to predict environmental contamination and ecosystem functioning. American Society for Microbiology 2018-02-20 /pmc/articles/PMC5821090/ /pubmed/29463661 http://dx.doi.org/10.1128/mBio.02435-17 Text en Copyright © 2018 He et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
He, Zhili
Zhang, Ping
Wu, Linwei
Rocha, Andrea M.
Tu, Qichao
Shi, Zhou
Wu, Bo
Qin, Yujia
Wang, Jianjun
Yan, Qingyun
Curtis, Daniel
Ning, Daliang
Van Nostrand, Joy D.
Wu, Liyou
Yang, Yunfeng
Elias, Dwayne A.
Watson, David B.
Adams, Michael W. W.
Fields, Matthew W.
Alm, Eric J.
Hazen, Terry C.
Adams, Paul D.
Arkin, Adam P.
Zhou, Jizhong
Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning
title Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning
title_full Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning
title_fullStr Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning
title_full_unstemmed Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning
title_short Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning
title_sort microbial functional gene diversity predicts groundwater contamination and ecosystem functioning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821090/
https://www.ncbi.nlm.nih.gov/pubmed/29463661
http://dx.doi.org/10.1128/mBio.02435-17
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