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dc.contributor.authorHe, Zhili
dc.contributor.authorZhang, Ping
dc.contributor.authorWu, Linwei
dc.contributor.authorRocha, Andrea M.
dc.contributor.authorTu, Qichao
dc.contributor.authorShi, Zhou
dc.contributor.authorWu, Bo
dc.contributor.authorQin, Yujia
dc.contributor.authorWang, Jianjun
dc.contributor.authorYan, Qingyun
dc.contributor.authorCurtis, Daniel
dc.contributor.authorNing, Daliang
dc.contributor.authorVan Nostrand, Joy D.
dc.contributor.authorWu, Liyou
dc.contributor.authorYang, Yunfeng
dc.contributor.authorElias, Dwayne A.
dc.contributor.authorWatson, David B.
dc.contributor.authorAdams, Michael W. W.
dc.contributor.authorFields, Matthew W.
dc.contributor.authorAlm, Eric J.
dc.contributor.authorHazen, Terry C.
dc.contributor.authorAdams, Paul D.
dc.contributor.authorArkin, Adam P.
dc.contributor.authorZhou, Jizhong
dc.date.accessioned2018-08-09T19:18:52Z
dc.date.available2018-08-09T19:18:52Z
dc.date.issued2018-02
dc.identifier.citationHe, Zhili, Ping Zhang, Linwei Wu, Andrea M Rocha, Qichao Tu, Zhou Shi, Bo Wu, Yujia Qin, Jianjun Wang, Qingyun Yan, Daniel Curtis, Daliang Ning, Joy D Van Nostrand, Liyou Wu, Yunfeng Yang, Dwayne A Elias, David B Watson, Michael W W Adams, Matthew W. Fields, Eric J Alm, Terry C Hazen, Paul D Adams, Adam P Arkin, and Jizhong Zhou. "Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning." mBio 9, no. 1 (February 2018). DOI: 10.1128/mBio.02435-17.en_US
dc.identifier.issn2150-7511
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/14679
dc.description.abstractContamination 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.IMPORTANCE Disentangling the relationships between biodiversity and ecosystem functioning is an important but poorly understood topic in ecology. Predicting ecosystem functioning on the basis of biodiversity is even more difficult, particularly with microbial biomarkers. As an exploratory effort, this study used key microbial functional genes as biomarkers to provide predictive understanding of environmental contamination and ecosystem functioning. The results indicated that the overall functional gene richness/diversity decreased as uranium increased in groundwater, while specific key microbial guilds increased significantly as uranium or nitrate increased. These key microbial functional genes could be used to successfully predict environmental contamination and ecosystem functioning. This study represents a significant advance in using functional gene markers to predict the spatial distribution of environmental contaminants and ecosystem functioning toward predictive microbial ecology, which is an ultimate goal of microbial ecology.en_US
dc.description.sponsorshipU.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, under contract number DE-AC02-05CH11231; funding from the Thousand Talents Program (grant number 38000-18821105)en_US
dc.language.isoenen_US
dc.rightsCC BY 4.0, This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleMicrobial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioningen_US
dc.typeArticleen_US
mus.citation.issue1en_US
mus.citation.journaltitlemBioen_US
mus.citation.volume9en_US
mus.identifier.categoryHealth & Medical Sciencesen_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1128/mBio.02435-17en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentMicrobiology & Immunology.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.data.thumbpage6en_US
mus.contributor.orcidFields, Matthew W.|0000-0001-9053-1849en_US


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CC BY 4.0, This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.
Except where otherwise noted, this item's license is described as CC BY 4.0, This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.