title: Long-term oil contamination causes similar changes in microbial communities of two distinct soils.
abstract: Since total petroleum hydrocarbons (TPH) are toxic and persistent in environments, studying the impact of oil contamination on microbial communities in different soils is vital to oil production engineering, effective soil management and pollution control. This study analyzed the impact of oil contamination on the structure, activity and function in carbon metabolism of microbial communities of Chernozem soil from Daqing oil field and Cinnamon soil from Huabei oil field through both culture-dependent techniques and a culture-independent technique-pyrosequencing. Results revealed that pristine microbial communities in these two soils presented disparate patterns, where Cinnamon soil showed higher abundance of alkane, (polycyclic aromatic hydrocarbons) PAHs and TPH degraders, number of cultivable microbes, bacterial richness, bacterial biodiversity, and stronger microbial activity and function in carbon metabolism than Chernozem soil. It suggested that complicated properties of microbes and soils resulted in the difference in soil microbial patterns. However, the changes of microbial communities caused by oil contamination were similar in respect of two dominant phenomena. Firstly, the microbial community structures were greatly changed, with higher abundance, higher bacterial biodiversity, occurrence of Candidate_division_BRC1 and TAO6, disappearance of BD1-5 and Candidate_division_OD1, dominance of Streptomyces, higher percentage of hydrocarbon-degrading groups, and lower percentage of nitrogen-transforming groups. Secondly, microbial activity and function in carbon metabolism were significantly enhanced. Based on the characteristics of microbial communities in the two soils, appropriate strategy for in situ bioremediation was provided for each oil field. This research underscored the usefulness of combination of culture-dependent techniques and next-generation sequencing techniques both to unravel the microbial patterns and understand the ecological impact of contamination.
authors.affiliation: State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, No. 5 Yiheyuan Road, Beijing, Haidian District, 100871, People's Republic of China.
authors.forename: Jingqiu
authors.initials: J
authors.lastname: Liao
authors.affiliation: State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, No. 5 Yiheyuan Road, Beijing, Haidian District, 100871, People's Republic of China.
authors.forename: Jie
authors.initials: J
authors.lastname: Wang
authors.affiliation: State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, No. 5 Yiheyuan Road, Beijing, Haidian District, 100871, People's Republic of China.
authors.forename: Dalin
authors.initials: D
authors.lastname: Jiang
authors.affiliation: Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W. Green, St., Urbana, IL, 61801, USA.
authors.forename: Michael Cai
authors.initials: MC
authors.lastname: Wang
authors.affiliation: State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, No. 5 Yiheyuan Road, Beijing, Haidian District, 100871, People's Republic of China. yhuang@pku.edu.cn.
authors.forename: Yi
authors.initials: Y
authors.lastname: Huang
mesh_terms: D001419:Bacteria / Q000145:classification / Q000187:drug effects* / Q000302:isolation & purification / Q000378:metabolism; D058448:Biota / Q000187:drug effects*; D002244:Carbon / Q000378:metabolism; D004787:Environmental Pollution; D009821:Oils / Q000378:metabolism*; D012988:Soil Microbiology; D012989:Soil Pollutants / Q000378:metabolism*
chemical_list: D009821:Oils; D012989:Soil Pollutants; D002244:Carbon
keywords: Carbon metabolism; Distinct soils; Long-term oil contamination; Microbial communities; Pyrosequencing