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

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) metageno...

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Autores principales: Li, Xiang, Cheng, Zhanwen, Dang, Chenyuan, Zhang, Miao, Zheng, Yan, Yu Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488056/
https://www.ncbi.nlm.nih.gov/pubmed/36160698
http://dx.doi.org/10.1016/j.ese.2021.100105
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author Li, Xiang
Cheng, Zhanwen
Dang, Chenyuan
Zhang, Miao
Zheng, Yan
Yu Xia
author_facet Li, Xiang
Cheng, Zhanwen
Dang, Chenyuan
Zhang, Miao
Zheng, Yan
Yu Xia
author_sort Li, Xiang
collection PubMed
description 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.
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spelling pubmed-94880562022-09-23 Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater Li, Xiang Cheng, Zhanwen Dang, Chenyuan Zhang, Miao Zheng, Yan Yu Xia Environ Sci Ecotechnol Original Research 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. Elsevier 2021-06-16 /pmc/articles/PMC9488056/ /pubmed/36160698 http://dx.doi.org/10.1016/j.ese.2021.100105 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Li, Xiang
Cheng, Zhanwen
Dang, Chenyuan
Zhang, Miao
Zheng, Yan
Yu Xia
Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater
title Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater
title_full Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater
title_fullStr Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater
title_full_unstemmed Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater
title_short Metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater
title_sort metagenomic and viromic data mining reveals viral threats in biologically treated domestic wastewater
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488056/
https://www.ncbi.nlm.nih.gov/pubmed/36160698
http://dx.doi.org/10.1016/j.ese.2021.100105
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