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Marine pollution, ecotoxicology and sustainability
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Conventional pollution factors and antibiotic resistance genes co-driven status of microbial community structures and their predicted functions in coastal sediments.
Monday 7th @ 1350-1410, Conference Room 7
Zhiguo Su* , College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Jiayu Chen, College of Life and Environmental Sciences, Shanghai Normal University, Shanghai 200234, China
Yuhan Zheng, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China
Tianjiao Dai, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Bei Huang, Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station, Zhoushan 316021, China
Qinglin Wen, Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station, Zhoushan 316021, China
Donghui Wen, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Presenter Email: 15165123073@163.com |
| Abstract: In coastal sediments, microbial community structures and functions under human-induced disturbances are evidently affected by different pollution factors, especially the antibiotic resistance genes (ARGs), which are acquired by special pathogenic genera via horizontal gene transfer originated in environmental microbiome. In this study, we analyzed samples properties and 12 ARG subtypes (including class 1 integrase gene, intI 1) in Zhejiang coastal area, and explored the microbial ecology of sediments by using high-throughtput 16S rRNA sequencing, PICRUSt software, FAPTOTAX software, and multivariate statistical methods. The surface sediments were collected from 20 sites, covering the Hangzhou Bay (HZB), Taizhou Bay (TZB), and Xiangshan Bay (XSB) of the coastal area. The results showed Proteobacteria was widespread in all the three bays and overwhelming in TZB. Firmicutes distributed most abundantly in XSB, which indicated the impacts of anthropogenic activities. Predicted by PICRUSt analysis, HZB was significantly lower than TZB and XSB in the subcategory of Xenobiotics Biodegradation and Metabolism; and XSB more enriched all the stress response functions related to Diseases, Immune, and Repair. In addition to the strong influence of conventional pollution factors, salinity, ARGs, and intI 1 were also key factors to the change of microbial community structures. Co-occurrence network analysis implied that oil was important for nitrogen cycle related functional groups. Then sulfonamide resistance genes, tetracycline resistance genes and intI 1 drove significantly the composition of human pathogens and human disease related function. The disclosure of above complex impacts provides a new insight into the evolution rules of microbial community in coastal area.
Keywords: microbial community structures; predicted functions; antibiotic resistance genes (ARGs); PICRUSt; FAPTOTAX; coastal sediments.
Acknowledgements: The study was funded by the National Natural Science Foundation of China (No. 51678003 and 51678334). |
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