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题名

Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater

作者
通讯作者Zheng,Yan; Yu Xia,
共同第一作者Li,Xiang; Yu Xia,
发表日期
2021-07-01
DOI
发表期刊
EISSN
2666-4984
卷号7
摘要

Activated sludge (AS), a common biological secondary treatment process in wastewater treatment plants (WWTPs), is known to remove a large spectrum of microorganisms. Yet little is known about its effect on the entire viral community. After compiling 3 Tbp of next-generation sequencing (NGS) metagenomic/viromic datasets consisted of 119 sub-datasets of influent, effluent, and AS samples from 27 WWTPs, viral removal efficacy is evaluated through data mining. The normalized abundance of viruses suggests effluents exhibit the highest viral prevalence (3.21 ± 3.26%, n = 13) followed by the AS (0.48 ± 0.25%, n = 57) and influents (0.23 ± 0.17%, n = 17). In contrast, plasmids, representing genetic element of bacteria, show higher average prevalence (0.73 ± 0.82%, n = 17) in influents than those of the AS (0.63 ± 0.26%, n = 57) and effluents (0.35 ± 0.42%, n = 13). Furthermore, the abundance-occupancy analysis identifies 142 core phage viruses and 17 non-phages core viruses, including several pathogenic viruses in the AS virome. The persistent occurrence of pathogenic viruses, coupled with non-favorable virus removal by the AS treatment, reveals the hidden virus threats in biologically treated domestic wastewater. The mechanisms for why viruses persist and the possibility that WWTPs are potential hotspots for viral survival deserve attention.

关键词
相关链接[Scopus记录]
收录类别
语种
英语
学校署名
第一 ; 共同第一 ; 通讯
WOS记录号
WOS:000684191500001
Scopus记录号
2-s2.0-85113910185
来源库
Scopus
引用统计
被引频次[WOS]:23
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/253540
专题工学院_环境科学与工程学院
工学院_海洋科学与工程系
作者单位
1.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2.State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
3.Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
4.Shenzhen Key Laboratory of Marine Archaea Geo-Omics,Department of Ocean Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
第一作者单位环境科学与工程学院
通讯作者单位环境科学与工程学院;  海洋科学与工程系
第一作者的第一单位环境科学与工程学院
推荐引用方式
GB/T 7714
Li,Xiang,Cheng,Zhanwen,Dang,Chenyuan,et al. Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater[J]. Environmental Science and Ecotechnology,2021,7.
APA
Li,Xiang,Cheng,Zhanwen,Dang,Chenyuan,Zhang,Miao,Zheng,Yan,&Yu Xia,.(2021).Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater.Environmental Science and Ecotechnology,7.
MLA
Li,Xiang,et al."Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater".Environmental Science and Ecotechnology 7(2021).
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