Thermodynamically favorable reactions shape the archaeal community affecting bacterial community assembly in oil reservoirs.

Core archaea Microbial community assembly Microbiome Oil reservoirs Thermodynamic constraint

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Aug 2021
Historique:
received: 08 01 2021
revised: 19 02 2021
accepted: 11 03 2021
pubmed: 2 4 2021
medline: 29 5 2021
entrez: 1 4 2021
Statut: ppublish

Résumé

Microbial community assembly mechanisms are pivotal for understanding the ecological functions of microorganisms in biogeochemical cycling in Earth's ecosystems, yet rarely investigated in the context of deep terrestrial ecology. Here, the microbial communities in the production waters collected from water injection wells and oil production wells across eight oil reservoirs throughout northern China were determined and analyzed by proportional distribution analysis and null model analysis. A 'core' microbiota consisting of three bacterial genera, including Arcobacter, Pseudomonas and Acinetobacter, and eight archaeal genera, including Archaeoglobus, Methanobacterium, Methanothermobacter, unclassified Methanobacteriaceae, Methanomethylovorans, Methanoculleus, Methanosaeta and Methanolinea, was found to be present in all production water samples. Canonical correlation analysis reflected that the core archaea were significantly influenced by temperature and reservoir depth, while the core bacteria were affected by the combined impact of the core archaea and environmental factors. Thermodynamic calculations indicate that bioenergetic constraints are the driving force that governs the enrichment of two core archaeal guilds, aceticlastic methanogens versus hydrogenotrophic methanogens, in low- and high-temperature oil reservoirs, respectively. Collectively, our study indicates that microbial community structures in wells of oil reservoirs are structured by the thermodynamic window of opportunity, through which the core archaeal communities are accommodated directly followed by the deterministic recruiting of core bacterial genera, and then the stochastic selection of some other microbial members from local environments. Our study enhances the understanding of the microbial assembly mechanism in deep terrestrial habitats. Meanwhile, our findings will support the development of functional microbiota used for bioremediation and bioaugmentation in microbial enhanced oil recovery.

Identifiants

pubmed: 33794455
pii: S0048-9697(21)01574-6
doi: 10.1016/j.scitotenv.2021.146506
pii:
doi:

Substances chimiques

RNA, Ribosomal, 16S 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

146506

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jie-Yu Zhao (JY)

College of Engineering, Peking University, Beijing, China.

Bing Hu (B)

Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology of China; Institute of Biochemical Engineering, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China.

Jan Dolfing (J)

Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne NE1 8QH, United Kingdom.

Yan Li (Y)

School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, China.

Yue-Qin Tang (YQ)

College of Architecture and Environment, Sichuan University, Chengdu, China.

Yiming Jiang (Y)

Institute of Virology, Helmholtz Zentrum München/Technical University of Munich, Munich, Germany.

Chang-Qiao Chi (CQ)

College of Engineering, Peking University, Beijing, China.

Jianmin Xing (J)

CAS Key Laboratory of Green Process and Engineering & State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China.

Yong Nie (Y)

College of Engineering, Peking University, Beijing, China. Electronic address: nieyong@pku.edu.cn.

Xiao-Lei Wu (XL)

College of Engineering, Peking University, Beijing, China; Institute of Ocean Research, Peking University, Beijing, China. Electronic address: xiaolei_wu@pku.edu.cn.

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Classifications MeSH