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http://hdl.handle.net/2445/193482
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DC Field | Value | Language |
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dc.contributor.author | Carcereny, Albert | - |
dc.contributor.author | Martínez-Velázquez, Adán | - |
dc.contributor.author | Bosch, Albert | - |
dc.contributor.author | Allende, Anna | - |
dc.contributor.author | Truchado, Pilar | - |
dc.contributor.author | Cascales, Jenifer | - |
dc.contributor.author | Romalde, Jesús | - |
dc.contributor.author | Lois, Marta | - |
dc.contributor.author | Polo, David | - |
dc.contributor.author | Sánchez, Gloria | - |
dc.contributor.author | Pérez-Cataluña, Alba | - |
dc.contributor.author | Díaz-Reolid, Azahara | - |
dc.contributor.author | Antón, Andrés | - |
dc.contributor.author | Gregor, Josep | - |
dc.contributor.author | Garcia-Cehic, Damir | - |
dc.contributor.author | Quer, Josep | - |
dc.contributor.author | Palau, Margarita | - |
dc.contributor.author | González Ruano, Cristina | - |
dc.contributor.author | Pintó Solé, Rosa María | - |
dc.contributor.author | Guix, Susana | - |
dc.date.accessioned | 2023-02-13T08:55:33Z | - |
dc.date.available | 2023-02-13T08:55:33Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 0013-936X | - |
dc.identifier.uri | http://hdl.handle.net/2445/193482 | - |
dc.description.abstract | Since its first identification in the United Kingdom in late 2020, the highly transmissible B.1.1.7 variant of SARS-CoV-2 has become dominant in several countries raising great concern. We developed a duplex real-time RT-qPCR assay to detect, discriminate, and quantitate SARS-CoV-2 variants containing one of its mutation signatures, the ΔHV69/70 deletion, and used it to trace the community circulation of the B.1.1.7 variant in Spain through the Spanish National SARS-CoV-2 Wastewater Surveillance System (VATar COVID-19). The B.1.1.7 variant was detected earlier than clinical epidemiological reporting by the local authorities, first in the southern city of Málaga (Andalucía) in week 20_52 (year_week), and multiple introductions during Christmas holidays were inferred in different parts of the country. Wastewater-based B.1.1.7 tracking showed a good correlation with clinical data and provided information at the local level. Data from wastewater treatment plants, which reached B.1.1.7 prevalences higher than 90% for ≥2 consecutive weeks showed that 8.1 ± 2.0 weeks were required for B.1.1.7 to become dominant. The study highlights the applicability of RT-qPCR-based strategies to track specific mutations of variants of concern as soon as they are identified by clinical sequencing and their integration into existing wastewater surveillance programs, as a cost-effective approach to complement clinical testing during the COVID-19 pandemic. | - |
dc.format.extent | 37 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | American Chemical Society | - |
dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1021/acs.est.1c03589 | - |
dc.relation.ispartof | Environmental Science & Technology, 2021, vol. 55, num. 17, p. 11756-11766 | - |
dc.relation.uri | https://doi.org/10.1021/acs.est.1c03589 | - |
dc.rights | (c) American Chemical Society , 2021 | - |
dc.source | Articles publicats en revistes (Genètica, Microbiologia i Estadística) | - |
dc.subject.classification | SARS-CoV-2 | - |
dc.subject.classification | COVID-19 | - |
dc.subject.classification | Epidemiologia | - |
dc.subject.other | SARS-CoV-2 | - |
dc.subject.other | COVID-19 | - |
dc.subject.other | Epidemiology | - |
dc.title | Monitoring emergence of SARS-CoV-2 B.1.1.7 Variant through the Spanish National SARSCoV-2 Wastewater Surveillance System (VATar COVID-19) from December 2020 to March 2021 | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 719030 | - |
dc.date.updated | 2023-02-13T08:55:33Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Genètica, Microbiologia i Estadística) |
Files in This Item:
File | Description | Size | Format | |
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719030.pdf | 1.23 MB | Adobe PDF | View/Open |
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