Understanding the Implications of Predicted Function for Assessment of Rapid Bioremediation in a Farmland-Oilfield Mixed Area

Haoyu Wang, Shanghua Wu, Yuxiu Zhang, Tsing Bohu, Zhihui Bai and Xuliang Zhuang
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Haoyu Wang: School of Chemical and Environment Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China
Shanghua Wu: Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Yuxiu Zhang: School of Chemical and Environment Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China
Tsing Bohu: State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Taipa, Macau 999078, China
Zhihui Bai: Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Xuliang Zhuang: Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

Sustainability, 2022, vol. 14, issue 4, 1-14

Abstract: Farmland-oilfield mixed areas are fragile ecosystems that require dynamic remediation to counteract the undesirable impact of energy development. Practicable assessment methods are pivotal to a fast and accurate evaluation of the in situ bioremediation process. Petroleum pollutants impose component-dependent effects on autochthonous microbiota before and after remediation. Here, the predicted functional response of soil microbiomes to petroleum pollutants was analyzed in a historically polluted farmland-oilfield mixed area from the perspective of developing a set of feasible biomarkers for immediate post-bioremediation evaluation. An array of microbial, genetic, systematic, and phenotypic biomarkers was proposed. Our results showed that the biomarkers could proxy the stage of the bioremediation multidimensionally. We argue that functional diversity should be considered together with microbial community dynamic to evaluate the restoration status of the microbial communities in petroleum-contaminated farmland-oilfield mixed environments.

Keywords: bioremediation; farmland-oilfield mixed areas; functional diversity; microbial community; pollution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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