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| Tracking fecal contamination in the Chaohu Lake basin based on 16S rDNA sequencing |
| Received:June 22, 2022 |
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| KeyWord:16S rDNA sequencing;microbial community;water pollution;microbial source tracking |
| Author Name | Affiliation | E-mail | | QI Zhao | School of Information and Computer, Anhui Agricultural University, Hefei 230036, China | | | ZHAO Xianglong | Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China | | | SANG Jinhui | Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China | | | HE Zhenjie | Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China | | | FU Dandan | Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China | | | YUE Zhenyu | School of Information and Computer, Anhui Agricultural University, Hefei 230036, China | | | SONG Xiangjun | Anhui Province Engineering Laboratory for Animal Food Quality and Bio-safety, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China | sxj@ahau.edu.cn |
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| Abstract: |
| The discharge of animal waste into rivers can cause a series of ecological and public health problems, thus the rapid and accurate identification of pollution sources is of great importance for source control and pollution management. Combining next-generation sequencing(NGS) and community-based microbial source tracking(MST), we are able to compare the microbial community composition in contamination sources and environmental samples to predict the source of contamination. Using 16S rDNA sequencing, we analyzed the bacterial community composition of water bodies, sediments and potential pollution sources(including village sewage outlets, pig farm effluent, and wild bird, human, poultry, and livestock feces) in the Chaohu Lake basin and analyzed the potential pollution sources of water bodies and sediment samples using machine learning-based traceability software, FEAST and Sourcetracker. The results showed that the microbial diversity of water and sediment samples was significantly higher than that of fecal samples. Chaohu Lake water and river sediment samples exhibited the highest microbial diversity, as well as the presence of a large number of unclassified species. Proteobacteria, Actinobacteria, and Bacteroidetes were widely distributed in all samples. The results of source analysis showed that village sewage outlets and wastewater treatment plants were the most important sources of contamination in river water samples. While sediment and lake water samples were potentially contaminated by sewage and wild waterfowl feces, no contamination from human and chicken feces was detected in all samples. |
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