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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2018
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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. |
format | Online Article Text |
id | pubmed-5821090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
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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