Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes
Mu Peng,
Xiaoxue Zi and
Qiuyu Wang
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Mu Peng: College of Life Science, Northeast Forestry University, No.26 Hexing Street, Xiangfang District, Harbin 150040, China
Xiaoxue Zi: College of Life Science, Northeast Forestry University, No.26 Hexing Street, Xiangfang District, Harbin 150040, China
Qiuyu Wang: College of Life Science, Northeast Forestry University, No.26 Hexing Street, Xiangfang District, Harbin 150040, China
IJERPH, 2015, vol. 12, issue 10, 1-14
Abstract:
Soil bacteria play a major role in ecological and biodegradable function processes in oil-contaminated soils. Here, we assessed the bacterial diversity and changes therein in oil-contaminated soils exposed to different periods of oil pollution using 454 pyrosequencing of 16S rRNA genes. No less than 24,953 valid reads and 6246 operational taxonomic units (OTUs) were obtained from all five studied samples. OTU richness was relatively higher in contaminated soils than clean samples. Acidobacteria , Actinobacteria , Bacteroidetes , Chloroflexi , Planctomycetes and Proteobacteria were the dominant phyla among all the soil samples. The heatmap plot depicted the relative percentage of each bacterial family within each sample and clustered five samples into two groups. For the samples, bacteria in the soils varied at different periods of oil exposure. The oil pollution exerted strong selective pressure to propagate many potentially petroleum degrading bacteria. Redundancy analysis (RDA) indicated that organic matter was the highest determinant factor for explaining the variations in community compositions. This suggests that compared to clean soils, oil-polluted soils support more diverse bacterial communities and soil bacterial community shifts were mainly controlled by organic matter and exposure time. These results provide some useful information for bioremediation of petroleum contaminated soil in the future.
Keywords: oil-contaminated soils; 454 Pyrosequencing; 16S rRNA; bacterial community; bacterial diversity (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)
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