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dc.contributor.authorChild, HT
dc.contributor.authorO'Neill, PA
dc.contributor.authorMoore, K
dc.contributor.authorRowe, W
dc.contributor.authorDenise, H
dc.contributor.authorBass, D
dc.contributor.authorWade, MJ
dc.contributor.authorLoose, M
dc.contributor.authorPaterson, S
dc.contributor.authorvan Aerle, R
dc.contributor.authorJeffries, AR
dc.date.accessioned2024-07-18T12:35:15Z
dc.date.issued2023-04-14
dc.date.updated2024-07-17T10:28:19Z
dc.description.abstractMonitoring the spread of viral pathogens in the population during epidemics is crucial for mounting an effective public health response. Understanding the viral lineages that constitute the infections in a population can uncover the origins and transmission patterns of outbreaks and detect the emergence of novel variants that may impact the course of an epidemic. Population-level surveillance of viruses through genomic sequencing of wastewater captures unbiased lineage data, including cryptic asymptomatic and undiagnosed infections, and has been shown to detect infection outbreaks and novel variant emergence before detection in clinical samples. Here, we present an optimised protocol for quantification and sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in influent wastewater, used for high-throughput genomic surveillance in England during the COVID-19 pandemic. This protocol utilises reverse compliment PCR for library preparation, enabling tiled amplification across the whole viral genome and sequencing adapter addition in a single step to enhance efficiency. Sequencing of synthetic SARS-CoV-2 RNA provided evidence validating the efficacy of this protocol, while data from high-throughput sequencing of wastewater samples demonstrated the sensitivity of this method. We also provided guidance on the quality control steps required during library preparation and data analysis. Overall, this represents an effective method for high-throughput sequencing of SARS-CoV-2 in wastewater which can be applied to other viruses and pathogens of humans and animals.en_GB
dc.description.sponsorshipDepartment of Health and Social Care (UK)en_GB
dc.description.sponsorshipWellcome Trusten_GB
dc.description.sponsorshipDepartment for Environment, Food and Rural Affairsen_GB
dc.identifier.citationVol. 18, No. 4, article e0284211en_GB
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0284211
dc.identifier.grantnumber2020_097en_GB
dc.identifier.grantnumber218247/Z/19/Zen_GB
dc.identifier.urihttp://hdl.handle.net/10871/136761
dc.identifierORCID: 0000-0002-0146-0653 (Moore, Karen)
dc.identifierORCID: 0000-0002-1235-8291 (Jeffries, Aaron R)
dc.language.isoenen_GB
dc.publisherPublic Library of Scienceen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/37058515en_GB
dc.rights© 2023 Child et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_GB
dc.subjectSARS-CoV-2en_GB
dc.subjectWastewateren_GB
dc.subjectPandemicsen_GB
dc.subjectCOVID-19en_GB
dc.subjectPolymerase Chain Reactionen_GB
dc.subjectComplement System Proteinsen_GB
dc.subjectCOVID-19 Testingen_GB
dc.titleOptimised protocol for monitoring SARS-CoV-2 in wastewater using reverse complement PCR-based whole-genome sequencingen_GB
dc.typeArticleen_GB
dc.date.available2024-07-18T12:35:15Z
dc.contributor.editorKalendar, R
exeter.article-numbere0284211
exeter.place-of-publicationUnited States
dc.descriptionThis is the final version. Available on open access from Public Library of Science via the DOI in this record. en_GB
dc.descriptionData Availability Statement: All sequencing data files are available from the European Nucleotide Archive (ENA) database (PRJEB57192)en_GB
dc.identifier.eissn1932-6203
dc.identifier.journalPLoS Oneen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-03-24
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-04-14
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-07-18T12:28:36Z
refterms.versionFCDVoR
refterms.dateFOA2024-07-18T12:36:16Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-04-14


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© 2023 Child et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Except where otherwise noted, this item's licence is described as © 2023 Child et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.