Microbial community analyses of produced waters from high-temperature oil reservoirs reveal unexpected similarity between geographically distant oil reservoirs

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dc.contributor.authorKim, Daehyun D.ko
dc.contributor.authorO'Farrell, Corynneko
dc.contributor.authorToth, Courtney R. A.ko
dc.contributor.authorMontoya, Oko
dc.contributor.authorGieg, Lisa Mko
dc.contributor.authorKwon, Tae-Hyukko
dc.contributor.authorYoon, Sukhwanko
dc.date.accessioned2018-07-24T02:38:17Z-
dc.date.available2018-07-24T02:38:17Z-
dc.date.created2018-04-10-
dc.date.created2018-04-10-
dc.date.created2018-04-10-
dc.date.created2018-04-10-
dc.date.issued2018-07-
dc.identifier.citationMICROBIAL BIOTECHNOLOGY, v.11, no.4, pp.788 - 796-
dc.identifier.issn1751-7915-
dc.identifier.urihttp://hdl.handle.net/10203/244281-
dc.description.abstractAs a preliminary investigation for the development of microbial-enhanced oil recovery strategies for high-temperature oil reservoirs (similar to 70 to 90 degrees C), we have investigated the indigenous microbial community compositions of produced waters from five different high-temperature oil reservoirs near Segno, Texas, U.S. (similar to 80 to 85 degrees C) and Crossfield, Alberta, Canada (similar to 75 degrees C). The DNA extracted from these low-biomass-produced water samples were analysed with MiSeq amplicon sequencing of partial 16S rRNA genes. These sequences were analysed along with additional sequence data sets available from existing databases. Despite the geographical distance and difference in the physicochemical properties, the microbial compositions of the Segno and Crossfield produced waters exhibited unexpectedly high similarity, as indicated by the results of beta diversity analyses. The major operational taxonomic units included acetoclastic and hydrogenotrophic methanogens (Methanosaetaceae, Methanobacterium and Methanoculleus), as well as bacteria belonging to the families Clostridiaceae and Thermotogaceae, which have been recognized to include thermophilic, thermotolerant, and/or spore-forming subtaxa. The sequence data retrieved from the databases exhibited different clustering patterns, as the communities from close geographical locations invariably had low beta diversity and the physicochemical properties and conditions of the reservoirs apparently did not have a substantial role in shaping of microbial communities.-
dc.languageEnglish-
dc.publisherWILEY-
dc.titleMicrobial community analyses of produced waters from high-temperature oil reservoirs reveal unexpected similarity between geographically distant oil reservoirs-
dc.typeArticle-
dc.identifier.wosid000435946800019-
dc.identifier.scopusid2-s2.0-85047667031-
dc.type.rimsART-
dc.citation.volume11-
dc.citation.issue4-
dc.citation.beginningpage788-
dc.citation.endingpage796-
dc.citation.publicationnameMICROBIAL BIOTECHNOLOGY-
dc.identifier.doi10.1111/1751-7915.13281-
dc.contributor.localauthorKwon, Tae-Hyuk-
dc.contributor.localauthorYoon, Sukhwan-
dc.contributor.nonIdAuthorO'Farrell, Corynne-
dc.contributor.nonIdAuthorToth, Courtney R. A.-
dc.contributor.nonIdAuthorMontoya, O-
dc.contributor.nonIdAuthorGieg, Lisa M-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordPlusANAEROBIC DEGRADATION-
dc.subject.keywordPlusAROMATIC-HYDROCARBONS-
dc.subject.keywordPlusENVIRONMENTS-
dc.subject.keywordPlusDIVERSITY-
dc.subject.keywordPlusSEDIMENTS-
dc.subject.keywordPlusALKANES-
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