title: Microbial communities inhabiting oil-contaminated soils from two major oilfields in Northern China: Implications for active petroleum-degrading capacity.
abstract: Although oilfields harbor a wide diversity of microorganisms with various metabolic potentials, our current knowledge about oil-degrading bacteria is limited because the vast majority of oil-degrading bacteria remain uncultured. In the present study, microbial communities in nine oil-contaminated soils collected from Daqing and Changqing, two of the largest oil fields in China, were characterized through highthroughput sequencing of 16S rRNA genes. Bacteria related to the phyla Proteobacteria and Actinobacteria were dominant in four and three samples, respectively. At the genus level, Alkanindiges, Arthrobacter, Pseudomonas, Mycobacterium, and Rhodococcus were frequently detected in nine soil samples. Many of the dominant genera were phylogenetically related to the known oil-degrading species. The correlation between physiochemical parameters within the microbial communities was also investigated. Canonical correspondence analysis revealed that soil moisture, nitrate, TOC, and pH had an important impact in shaping the microbial communities of the hydrocarbon-contaminated soil. This study provided an in-depth analysis of microbial communities in oilcontaminated soil and useful information for future bioremediation of oil contamination.
authors.affiliation: Department of Microbiology and Biochemistry, Rutgers University, New Brunswick, NJ, 08901, USA.
authors.forename: Weimin
authors.initials: W
authors.lastname: Sun
authors.forename: Yiran
authors.initials: Y
authors.lastname: Dong
authors.forename: Pin
authors.initials: P
authors.lastname: Gao
authors.forename: Meiyan
authors.initials: M
authors.lastname: Fu
authors.forename: Kaiwen
authors.initials: K
authors.lastname: Ta
authors.forename: Jiwei
authors.initials: J
authors.lastname: Li
mesh_terms: D001419:Bacteria / Q000145:classification* / Q000235:genetics*; D058448:Biota; D002244:Carbon / Q000032:analysis; D055598:Chemical Phenomena; D002681:China; D016000:Cluster Analysis; D004269:DNA, Bacterial / Q000737:chemistry / Q000235:genetics; D004275:DNA, Ribosomal / Q000737:chemistry / Q000235:genetics; D059014:High-Throughput Nucleotide Sequencing; D006863:Hydrogen-Ion Concentration; D008969:Molecular Sequence Data; D009566:Nitrates / Q000032:analysis; D009930:Organic Chemicals / Q000032:analysis; D010578:Petroleum / Q000032:analysis*; D010802:Phylogeny; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D017422:Sequence Analysis, DNA; D012987:Soil / Q000737:chemistry; D012988:Soil Microbiology; D012989:Soil Pollutants / Q000032:analysis*
chemical_list: D004269:DNA, Bacterial; D004275:DNA, Ribosomal; D009566:Nitrates; D009930:Organic Chemicals; D010578:Petroleum; D012336:RNA, Ribosomal, 16S; D012987:Soil; D012989:Soil Pollutants; D002244:Carbon