Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater

Wastewater-based epidemiology (WBE) has proven to be an effective tool for epidemiological surveillance of SARS-CoV-2 during the current COVID-19 pandemic. Furthermore, combining WBE together with high-throughput sequencing techniques can be useful for the analysis of SARS-CoV-2 viral diversity pres...

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Detalhes bibliográficos
Autores: Pérez-Cataluña, Alba, Chiner-Oms, Álvaro, Cuevas Ferrando, Enric, Díaz-Reolid, Azahara, Falcó, Irene, Randazzo, Walter, Girón-Guzmán, Inés, Allende, Ana, Bracho, María Alma, Comas, Iñaki, Sánchez Moragas, Gloria
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/264797
Acesso em linha:http://hdl.handle.net/10261/264797
https://api.elsevier.com/content/abstract/scopus_id/85122669036
Access Level:acceso abierto
Palavra-chave:Genome sequencing
SARS-CoV-2
Spike mutations
Variants of concern
Variants of interest
Wastewater
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spelling Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewaterPérez-Cataluña, AlbaChiner-Oms, ÁlvaroCuevas Ferrando, EnricDíaz-Reolid, AzaharaFalcó, IreneRandazzo, WalterGirón-Guzmán, InésAllende, AnaBracho, María AlmaComas, IñakiSánchez Moragas, GloriaGenome sequencingSARS-CoV-2Spike mutationsVariants of concernVariants of interestWastewaterWastewater-based epidemiology (WBE) has proven to be an effective tool for epidemiological surveillance of SARS-CoV-2 during the current COVID-19 pandemic. Furthermore, combining WBE together with high-throughput sequencing techniques can be useful for the analysis of SARS-CoV-2 viral diversity present in a given sample. The present study focuses on the genomic analysis of SARS-CoV-2 in 76 sewage samples collected during the three epidemiological waves that occurred in Spain from 14 wastewater treatment plants distributed throughout the country. The results obtained demonstrate that the metagenomic analysis of SARS-CoV-2 in wastewater allows the detection of mutations that define the B.1.1.7 lineage and the ability of the technique to anticipate the detection of certain mutations before they are detected in clinical samples. The study proves the usefulness of sewage sequencing to track Variants of Concern that can complement clinical testing to help in decision-making and in the analysis of the evolution of the pandemic.This study was supported by projects “VIRIDIANA” (AGL2017–82909/ AEI/FEDER, UE) and MCEC-WATER (PID2020–116789RB-C42/ AEI/FEDER, UE) funded by Spanish Ministry of Science, Innovation and Universities; CSIC (202070E101), Generalitat Valenciana (Covid_19-SCI), the European Union – NextGenerationEU (SGL2103034), the COVID-19 wastewater surveillance project (VATar COVID19), funded by the Spanish Ministry for the Ecological Transition and the Demographic Challenge and the Spanish Ministry of Health, the Instituto de Salud Carlos III (Ref COV20/00140), ERC TB-RECONNECT 101001038 funded by The European Union – NextGenerationEU and the Lagoon project (PROMETEO/2021/044). EC-F is recipient of a predoctoral contract from the MICINN, Call 2018 and AP-C was supported by a postdoctoral fellowship (APOSTD/21/292). We acknowledge NILSA, FACSA, and MITECO for authorizing the sampling. The authors thank Agustin Garrido Fernández, and Andrea Lopez de Mota for their technical support.Peer reviewedElsevierMinisterio de Ciencia e Innovación (España)Consejo Superior de Investigaciones Científicas (España)Generalitat ValencianaEuropean CommissionMinisterio para la Transición Ecológica y el Reto Demográfico (España)Instituto de Salud Carlos IIIConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202220222022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/264797https://api.elsevier.com/content/abstract/scopus_id/85122669036reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-82909-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116789RB-C42Water researchhttps://doi.org/10.1016/j.watres.2021.118007Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2647972026-05-22T06:33:51Z
dc.title.none.fl_str_mv Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater
title Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater
spellingShingle Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater
Pérez-Cataluña, Alba
Genome sequencing
SARS-CoV-2
Spike mutations
Variants of concern
Variants of interest
Wastewater
title_short Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater
title_full Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater
title_fullStr Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater
title_full_unstemmed Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater
title_sort Spatial and temporal distribution of SARS-CoV-2 diversity circulating in wastewater
dc.creator.none.fl_str_mv Pérez-Cataluña, Alba
Chiner-Oms, Álvaro
Cuevas Ferrando, Enric
Díaz-Reolid, Azahara
Falcó, Irene
Randazzo, Walter
Girón-Guzmán, Inés
Allende, Ana
Bracho, María Alma
Comas, Iñaki
Sánchez Moragas, Gloria
author Pérez-Cataluña, Alba
author_facet Pérez-Cataluña, Alba
Chiner-Oms, Álvaro
Cuevas Ferrando, Enric
Díaz-Reolid, Azahara
Falcó, Irene
Randazzo, Walter
Girón-Guzmán, Inés
Allende, Ana
Bracho, María Alma
Comas, Iñaki
Sánchez Moragas, Gloria
author_role author
author2 Chiner-Oms, Álvaro
Cuevas Ferrando, Enric
Díaz-Reolid, Azahara
Falcó, Irene
Randazzo, Walter
Girón-Guzmán, Inés
Allende, Ana
Bracho, María Alma
Comas, Iñaki
Sánchez Moragas, Gloria
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Consejo Superior de Investigaciones Científicas (España)
Generalitat Valenciana
European Commission
Ministerio para la Transición Ecológica y el Reto Demográfico (España)
Instituto de Salud Carlos III
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Genome sequencing
SARS-CoV-2
Spike mutations
Variants of concern
Variants of interest
Wastewater
topic Genome sequencing
SARS-CoV-2
Spike mutations
Variants of concern
Variants of interest
Wastewater
description Wastewater-based epidemiology (WBE) has proven to be an effective tool for epidemiological surveillance of SARS-CoV-2 during the current COVID-19 pandemic. Furthermore, combining WBE together with high-throughput sequencing techniques can be useful for the analysis of SARS-CoV-2 viral diversity present in a given sample. The present study focuses on the genomic analysis of SARS-CoV-2 in 76 sewage samples collected during the three epidemiological waves that occurred in Spain from 14 wastewater treatment plants distributed throughout the country. The results obtained demonstrate that the metagenomic analysis of SARS-CoV-2 in wastewater allows the detection of mutations that define the B.1.1.7 lineage and the ability of the technique to anticipate the detection of certain mutations before they are detected in clinical samples. The study proves the usefulness of sewage sequencing to track Variants of Concern that can complement clinical testing to help in decision-making and in the analysis of the evolution of the pandemic.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/264797
https://api.elsevier.com/content/abstract/scopus_id/85122669036
url http://hdl.handle.net/10261/264797
https://api.elsevier.com/content/abstract/scopus_id/85122669036
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-82909-R
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116789RB-C42
Water research
https://doi.org/10.1016/j.watres.2021.118007
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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