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Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir

Microbial populations associated with microbial enhanced oil recovery (MEOR) and their abundance in the Xinjiang Luliang water-flooding petroleum reservoir were investigated using 16S rRNA, nitrate reductases, dissimilatory sulfate reductase, and methyl coenzyme-M reductase-encoded genes to provide...

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Autores principales: Gao, Peike, Tian, Huimei, Li, Guoqiang, Sun, Hongwen, Ma, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4398513/
https://www.ncbi.nlm.nih.gov/pubmed/25641701
http://dx.doi.org/10.1002/mbo3.241
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author Gao, Peike
Tian, Huimei
Li, Guoqiang
Sun, Hongwen
Ma, Ting
author_facet Gao, Peike
Tian, Huimei
Li, Guoqiang
Sun, Hongwen
Ma, Ting
author_sort Gao, Peike
collection PubMed
description Microbial populations associated with microbial enhanced oil recovery (MEOR) and their abundance in the Xinjiang Luliang water-flooding petroleum reservoir were investigated using 16S rRNA, nitrate reductases, dissimilatory sulfate reductase, and methyl coenzyme-M reductase-encoded genes to provide ecological information for the potential application of MEOR. 16S rRNA gene miseq sequencing revealed that this reservoir harbored large amounts of taxa, including 155 bacterial and 7 archeal genera. Among them, Arcobacter, Halomonas, Marinobacterium, Marinobacter, Sphingomonas, Rhodococcus, Pseudomonas, Dietzia, Ochrobactrum, Hyphomonas, Acinetobacter, and Shewanella were dominant, and have the potential to grow using hydrocarbons as carbon sources. Metabolic gene clone libraries indicated that the nitrate-reducing bacteria (NRB) mainly belonged to Pseudomonas, Azospirillum, Bradyrhizobium, Thauera, Magnetospirillum, Sinorhizobium, Azoarcus, and Rhodobacter; the sulfate-reducing bacteria (SRB) were Desulfarculus, Desulfomonile, Desulfosarcina, Desulfotignum, Desulfacinum, Desulfatibacillum, Desulfatibacillum, Desulfomicrobium, and Desulfovibrio; while the methanogens were archaea and belonged to Methanomethylovorans, Methanosaeta, Methanococcus, Methanolobus, and Methanobacterium. Real-time quantitative PCR analysis indicated that the number of bacterial 16S rRNA reached 10(6) copies/mL, while the metabolic genes of NRB, SRB, and methanogens reached 10(4) copies/mL. These results show that the Luliang reservoir has abundant microbial populations associated with oil recovery, suggesting that the reservoir has potential for MEOR.
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spelling pubmed-43985132015-04-20 Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir Gao, Peike Tian, Huimei Li, Guoqiang Sun, Hongwen Ma, Ting Microbiologyopen Original Research Microbial populations associated with microbial enhanced oil recovery (MEOR) and their abundance in the Xinjiang Luliang water-flooding petroleum reservoir were investigated using 16S rRNA, nitrate reductases, dissimilatory sulfate reductase, and methyl coenzyme-M reductase-encoded genes to provide ecological information for the potential application of MEOR. 16S rRNA gene miseq sequencing revealed that this reservoir harbored large amounts of taxa, including 155 bacterial and 7 archeal genera. Among them, Arcobacter, Halomonas, Marinobacterium, Marinobacter, Sphingomonas, Rhodococcus, Pseudomonas, Dietzia, Ochrobactrum, Hyphomonas, Acinetobacter, and Shewanella were dominant, and have the potential to grow using hydrocarbons as carbon sources. Metabolic gene clone libraries indicated that the nitrate-reducing bacteria (NRB) mainly belonged to Pseudomonas, Azospirillum, Bradyrhizobium, Thauera, Magnetospirillum, Sinorhizobium, Azoarcus, and Rhodobacter; the sulfate-reducing bacteria (SRB) were Desulfarculus, Desulfomonile, Desulfosarcina, Desulfotignum, Desulfacinum, Desulfatibacillum, Desulfatibacillum, Desulfomicrobium, and Desulfovibrio; while the methanogens were archaea and belonged to Methanomethylovorans, Methanosaeta, Methanococcus, Methanolobus, and Methanobacterium. Real-time quantitative PCR analysis indicated that the number of bacterial 16S rRNA reached 10(6) copies/mL, while the metabolic genes of NRB, SRB, and methanogens reached 10(4) copies/mL. These results show that the Luliang reservoir has abundant microbial populations associated with oil recovery, suggesting that the reservoir has potential for MEOR. BlackWell Publishing Ltd 2015-04 2015-02-02 /pmc/articles/PMC4398513/ /pubmed/25641701 http://dx.doi.org/10.1002/mbo3.241 Text en © 2015 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Gao, Peike
Tian, Huimei
Li, Guoqiang
Sun, Hongwen
Ma, Ting
Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir
title Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir
title_full Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir
title_fullStr Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir
title_full_unstemmed Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir
title_short Microbial diversity and abundance in the Xinjiang Luliang long-term water-flooding petroleum reservoir
title_sort microbial diversity and abundance in the xinjiang luliang long-term water-flooding petroleum reservoir
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4398513/
https://www.ncbi.nlm.nih.gov/pubmed/25641701
http://dx.doi.org/10.1002/mbo3.241
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