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Linking bacterial diversity and geochemistry of uranium-contaminated groundwater

dc.contributor.authorCho, K
dc.contributor.authorZholi, A
dc.contributor.authorFrabutt, D
dc.contributor.authorFlood, M
dc.contributor.authorFloyd, D
dc.contributor.authorTiquia, SM
dc.coverage.spatialEngland
dc.date.accessioned2023-11-02T19:29:40Z
dc.date.available2023-11-02T19:29:40Z
dc.date.issued2012-01-01
dc.identifier.issn0959-3330
dc.identifier.issn1479-487X
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/pubmed/22988623
dc.identifier.urihttps://hdl.handle.net/2027.42/191248en
dc.description.abstractTo understand the link between bacterial diversity and geochemistry in uranium-contaminated groundwater, microbial communities were assessed based on clone libraries of 16S rDNA genes from the USDOE Oak Ridge Field Research Centre (FRC) site. Four groundwater wells (GW835, GW836, FW113-47 and FW215-49) with a wide range of pH (3 to 7), nitrate (44 to 23,400 mg L-1), uranium (0.73 to 60.36 mg L-1) and other metal contamination, were investigated. Results indicated that bacterial diversity correlated with the geochemistry of the groundwater. Microbial diversity decreased in relation to the contamination levels of the wells. The highly contaminated well (FW113-47) had lower gene diversity than less contaminated wells (FW215-49, GW835 and GW836). The high concentrations of contaminants present in well FW113-47 stimulated the growth of organisms capable of reducing uranium (Shewanella and Pseudomonas), nitrate (Pseudomonas, Rhodanobacter and Xanthomonas) and iron (Stenotrophomonas), and which were unique to this well. The clone libraries consisted primarily of sequences closely related to the phylum Proteobacteria, with FW-113-47 almost exclusively containing this phylum. Metal-reducing bacteria were present in all four wells, which may suggest that there is potential for successful bioremediation of the groundwater at the Oak Ridge FRC. The microbial community information gained from this study and previous studies at the site can be used to develop predictive multivariate and geographical information system (GIS) based models for microbial populations at the Oak Ridge FRC. This will allow for a better understanding of what organisms are likely to occur where and when, based on geochemistry, and how these organisms relate to bioremediation processes at the site. © 2012 Taylor & Francis.
dc.format.mediumPrint
dc.languageeng
dc.publisherTaylor & Francis
dc.subjectBacteria
dc.subjectBiodiversity
dc.subjectDNA, Ribosomal
dc.subjectFresh Water
dc.subjectGroundwater
dc.subjectIron
dc.subjectMolecular Sequence Data
dc.subjectNitrates
dc.subjectPseudomonas
dc.subjectShewanella
dc.subjectUranium
dc.subjectWater Pollutants, Chemical
dc.titleLinking bacterial diversity and geochemistry of uranium-contaminated groundwater
dc.typeArticle
dc.identifier.pmid22988623
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/191248/2/Tiquia_Uranium paper 2012.pdf
dc.identifier.doi10.1080/09593330.2011.641036
dc.identifier.doihttps://dx.doi.org/10.7302/21635
dc.identifier.sourceEnvironmental Technology (United Kingdom)
dc.description.versionPublished version
dc.date.updated2023-11-02T19:29:38Z
dc.identifier.orcid0000-0001-5084-1658
dc.description.filedescriptionDescription of Tiquia_Uranium paper 2012.pdf : Accepted version
dc.identifier.volume33
dc.identifier.issue14
dc.identifier.startpage1629
dc.identifier.endpage1640
dc.identifier.name-orcidCho, K
dc.identifier.name-orcidZholi, A
dc.identifier.name-orcidFrabutt, D
dc.identifier.name-orcidFlood, M
dc.identifier.name-orcidFloyd, D
dc.identifier.name-orcidTiquia, SM; 0000-0001-5084-1658
dc.working.doi10.7302/21635en
dc.owningcollnameArts, Sciences, and Letters, College of (CASL, UM-Dearborn)


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