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Article: An assessment of resistome and mobilome in wastewater treatment plants through temporal and spatial metagenomic analysis

TitleAn assessment of resistome and mobilome in wastewater treatment plants through temporal and spatial metagenomic analysis
Authors
KeywordsAbsolute quantification
Antibiotic resistance genes
Effluents
Exposure assessment
Metagenomics
Risk ranking
Wastewater treatment plants
Issue Date1-Feb-2022
PublisherElsevier
Citation
Water Research, 2022, v. 209 How to Cite?
Abstract

Wastewater treatment plants (WWTPs) are regarded as critical points in disseminating antibiotic resistance genes (ARGs). In particular, the discharging effluents from WWTPs generally bring downstream catchment areas exogenous ARGs and resistant bacteria. However, there lacks a sufficient assessment of the resistome and mobilome in effluents. In this study, a consecutive monthly sampling was conducted over 13 months in three Hong Kong (HK) WWTPs for metagenomic sequencing. Prevalence information of ARGs and mobile genetic elements (MGEs) was compared with counterparts in effluents from cities of North America, South America, Europe, and Asia. Moreover, a publicly accessible platform integrating the exposure ranking scheme, which was based on the global archive of ARG abundance, and a readily implementable online pipeline was developed to benefit communication in academia and government consultancy. Results demonstrated HK WWTPs were featured high ARG removal efficiency of 2.34–2.43 log reduction rate, and effluents were ranked in moderate levels of Level 2 and Level 3 in the exposure prioritizing scheme based on total ARG abundance. Moreover, absolute quantification of temporal variations of effluent resistome disclosed distinct changes over time among varied ARG types which were associated with prevalently used antibiotics, including quinolone and sulfonamide. This reinforces the need for real-time management of WWTP systems. Notably, ARGs of anthropogenic prevalence, high mobility, and potential pathogenicity were found to be present in HK effluents, drawing attention to the necessity for improved risk management. In addition, source tracking of effluent resistome and structural equation model analysis was conducted to explore the disparity in ARG abundance and diversity in different samples. The discovery of this study and the recommendation of a comprehensive exposure assessment will facilitate decision-making in resistome management in WWTPs to reduce the ARG and antibiotic resistant bacteria (ARB) contamination in the receiving environments.


Persistent Identifierhttp://hdl.handle.net/10722/354536
ISSN
2023 Impact Factor: 11.4
2023 SCImago Journal Rankings: 3.596
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYin, Xiaole-
dc.contributor.authorYang, Yu-
dc.contributor.authorDeng, Yu-
dc.contributor.authorHuang, Yue-
dc.contributor.authorLi, Liguan-
dc.contributor.authorChan, Lilian Y.L.-
dc.contributor.authorZhang, Tong-
dc.date.accessioned2025-02-13T00:35:10Z-
dc.date.available2025-02-13T00:35:10Z-
dc.date.issued2022-02-01-
dc.identifier.citationWater Research, 2022, v. 209-
dc.identifier.issn0043-1354-
dc.identifier.urihttp://hdl.handle.net/10722/354536-
dc.description.abstract<p>Wastewater treatment plants (WWTPs) are regarded as critical points in disseminating antibiotic resistance genes (ARGs). In particular, the discharging effluents from WWTPs generally bring downstream catchment areas exogenous ARGs and resistant bacteria. However, there lacks a sufficient assessment of the resistome and mobilome in effluents. In this study, a consecutive monthly sampling was conducted over 13 months in three Hong Kong (HK) WWTPs for metagenomic sequencing. Prevalence information of ARGs and mobile genetic elements (MGEs) was compared with counterparts in effluents from cities of North America, South America, Europe, and Asia. Moreover, a publicly accessible platform integrating the exposure ranking scheme, which was based on the global archive of ARG abundance, and a readily implementable online pipeline was developed to benefit communication in academia and government consultancy. Results demonstrated HK WWTPs were featured high ARG removal efficiency of 2.34–2.43 log reduction rate, and effluents were ranked in moderate levels of Level 2 and Level 3 in the exposure prioritizing scheme based on total ARG abundance. Moreover, absolute quantification of temporal variations of effluent resistome disclosed distinct changes over time among varied ARG types which were associated with prevalently used antibiotics, including quinolone and sulfonamide. This reinforces the need for real-time management of WWTP systems. Notably, ARGs of anthropogenic prevalence, high mobility, and potential pathogenicity were found to be present in HK effluents, drawing attention to the necessity for improved risk management. In addition, source tracking of effluent resistome and structural equation model analysis was conducted to explore the disparity in ARG abundance and diversity in different samples. The discovery of this study and the recommendation of a comprehensive exposure assessment will facilitate decision-making in resistome management in WWTPs to reduce the ARG and antibiotic resistant bacteria (ARB) contamination in the receiving environments.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofWater Research-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAbsolute quantification-
dc.subjectAntibiotic resistance genes-
dc.subjectEffluents-
dc.subjectExposure assessment-
dc.subjectMetagenomics-
dc.subjectRisk ranking-
dc.subjectWastewater treatment plants-
dc.titleAn assessment of resistome and mobilome in wastewater treatment plants through temporal and spatial metagenomic analysis -
dc.typeArticle-
dc.identifier.doi10.1016/j.watres.2021.117885-
dc.identifier.pmid34847392-
dc.identifier.scopuseid_2-s2.0-85119979700-
dc.identifier.volume209-
dc.identifier.eissn1879-2448-
dc.identifier.isiWOS:000724975900009-
dc.identifier.issnl0043-1354-

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