An integrated insight into the response of sedimentary microbial communities to heavy metal contamination

Yin, Huaqun; Niu, Jiaojiao; Ren, Youhua; Cong, Jing; Zhang, Xiaoxia; Fan, Fenliang; Xiao, Yunhua; Zhang, Xian; Deng, Jie; Xie, Ming; He, Zhili; Zhou, Jizhong; Liang, Yili; Liu, Xueduan

doi:10.1038/srep14266

An integrated insight into the response of sedimentary microbial communities to heavy metal contamination

Journal Article · Tue Sep 22 00:00:00 EDT 2015 · Scientific Reports

DOI:https://doi.org/10.1038/srep14266· OSTI ID:1624797

Yin, Huaqun ^[1]; Niu, Jiaojiao ^[2]; Ren, Youhua ^[3]; Cong, Jing ^[2]; Zhang, Xiaoxia ^[4]; Fan, Fenliang ^[5]; Xiao, Yunhua ^[2]; Zhang, Xian ^[2]; Deng, Jie ^[6]; Xie, Ming ^[6]; He, Zhili; Zhou, Jizhong ^[7]; Liang, Yili ^[2]; Liu, Xueduan ^[2]

Central South University, Changsha (China). School of Minerals Processing and Bioengineering; Ministry of Education, Changsha (China). Key laboratory of Biometallurgy; DOE/OSTI
Central South University, Changsha (China). School of Minerals Processing and Bioengineering; Ministry of Education, Changsha (China). Key laboratory of Biometallurgy
Hunan Agricultural University, Changsha (China). College of Food Science and Technology
Ministry of Agriculture, Beijing (China). Key Laboratory of Microbial Resources Collection and Preservation; Chinese Academy of Agricultural Sciences, Beijing (China). Institute of Agricultural Resources and Regional Planning
Key Laboratory of Plant Nutrition and Fertilizer, Beijing (China); Chinese Academy of Agricultural Sciences, Beijing (China). Institute of Agricultural Resources and Regional Planning
University of Oklahoma, Norman (United States). Institute for Environmental Genomics and Department of Botany and Microbiology
Tsinghua University, Beijing (China). School of Environment; University of Oklahoma, Norman (United States). Institute for Environmental Genomics and Department of Botany and Microbiology; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth Sciences Division

Response of biological communities to environmental stresses is a critical issue in ecology, but how microbial communities shift across heavy metal gradients remain unclear. To explore the microbial response to heavy metal contamination (e.g., Cr, Mn, Zn), the composition, structure and functional potential of sedimentary microbial community were investigated by sequencing of 16S rRNA gene amplicons and a functional gene microarray. Analysis of 16S rRNA sequences revealed that the composition and structure of sedimentary microbial communities changed significantly across a gradient of heavy metal contamination and the relative abundances were higher for Firmicutes, Chloroflexi and Crenarchaeota, but lower for Proteobacteria and Actinobacteria in highly contaminated samples. Also, molecular ecological network analysis of sequencing data indicated that their possible interactions might be enhanced in highly contaminated communities. Correspondently, key functional genes involved in metal homeostasis (e.g., chrR, metC, merB), carbon metabolism and organic remediation showed a higher abundance in highly contaminated samples, indicating that bacterial communities in contaminated areas may modulate their energy consumption and organic remediation ability. This study indicated that the sedimentary indigenous microbial community may shift the composition and structure as well as function priority and interaction network to increase their adaptability and/or resistance to environmental contamination.

View Accepted Manuscript (DOE)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1624797

Journal Information:: Scientific Reports, Journal Name: Scientific Reports Journal Issue: 1 Vol. 5; ISSN 2045-2322

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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