Spatial isolation and environmental factors drive distinct bacterial and archaeal communities in different types of petroleum reservoirs in China
To investigate the spatial distribution of microbial communities and their drivers in petroleum reservoir environments, we performed pyrosequencing of microbial partial 16S rRNA, derived from 20 geographically separated water-flooding reservoirs, and two reservoirs that had not been flooded, in China. The results indicated that distinct underground microbial communities inhabited the different reservoirs. Compared with the bacteria, archaeal alpha-diversity was not strongly correlated with the environmental variables. The variation of the bacterial and archaeal community compositions was affected synthetically, by the mining patterns, spatial isolation, reservoir temperature, salinity and pH of the formation brine. The environmental factors explained 64.22% and 78.26% of the total variance for the bacterial and archaeal communities, respectively. Despite the diverse community compositions, shared populations (48 bacterial and 18 archaeal genera) were found and were dominant in most of the oilfields. Potential indigenous microorganisms, including Carboxydibrachium, Thermosinus, and Neptunomonas, were only detected in a reservoir that had not been flooded with water. This study indicates that: 1) the environmental variation drives distinct microbial communities in different reservoirs; 2) compared with the archaea, the bacterial communities were highly heterogeneous within and among the reservoirs; and 3) despite the community variation, some microorganisms are dominant in multiple petroleum reservoirs.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2016 |
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| Erschienen: |
2016 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:6 |
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| Enthalten in: |
Scientific reports - 6(2016) vom: 03. Feb., Seite 20174 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Gao, Peike [VerfasserIn] |
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| Links: |
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| Themen: |
DNA, Archaeal |
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| Anmerkungen: |
Date Completed 10.01.2017 Date Revised 13.11.2018 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1038/srep20174 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM257102019 |
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| 245 | 1 | 0 | |a Spatial isolation and environmental factors drive distinct bacterial and archaeal communities in different types of petroleum reservoirs in China |
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| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a To investigate the spatial distribution of microbial communities and their drivers in petroleum reservoir environments, we performed pyrosequencing of microbial partial 16S rRNA, derived from 20 geographically separated water-flooding reservoirs, and two reservoirs that had not been flooded, in China. The results indicated that distinct underground microbial communities inhabited the different reservoirs. Compared with the bacteria, archaeal alpha-diversity was not strongly correlated with the environmental variables. The variation of the bacterial and archaeal community compositions was affected synthetically, by the mining patterns, spatial isolation, reservoir temperature, salinity and pH of the formation brine. The environmental factors explained 64.22% and 78.26% of the total variance for the bacterial and archaeal communities, respectively. Despite the diverse community compositions, shared populations (48 bacterial and 18 archaeal genera) were found and were dominant in most of the oilfields. Potential indigenous microorganisms, including Carboxydibrachium, Thermosinus, and Neptunomonas, were only detected in a reservoir that had not been flooded with water. This study indicates that: 1) the environmental variation drives distinct microbial communities in different reservoirs; 2) compared with the archaea, the bacterial communities were highly heterogeneous within and among the reservoirs; and 3) despite the community variation, some microorganisms are dominant in multiple petroleum reservoirs | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
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| 650 | 7 | |a DNA, Bacterial |2 NLM | |
| 650 | 7 | |a DNA, Ribosomal |2 NLM | |
| 650 | 7 | |a Petroleum |2 NLM | |
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| 700 | 1 | |a Tian, Huimei |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Yansen |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yanshu |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Xie, Jinxia |e verfasserin |4 aut | |
| 700 | 1 | |a Zeng, Bing |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Jiefang |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Guoqiang |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Ting |e verfasserin |4 aut | |
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