Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/250551
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Monitoring Emergence of the SARS-CoV-2 B.1.1.7 Variant through the Spanish National SARS-CoV-2 Wastewater Surveillance System (VATar COVID-19)

AutorCarcereny, Albert; Martínez-Velázquez, Adán; Bosch, Albert; Allende, Ana CSIC ORCID ; Truchado, Pilar CSIC ORCID ; Cascales, Jenifer; Romalde, Jesús L.; Lois, Marta; Polo, David; Sánchez Moragas, Gloria CSIC ORCID; Pérez-Cataluña, Alba CSIC ORCID; Díaz-Reolid, Azahara CSIC; Antón, Andrés; Gregori, Josep; García-Cehic, Damir; Quer, Josep; Palau, Margarita; González Ruano, Cristina; Pintó, Rosa María; Guix, Susana
Palabras claveSARS-CoV-2
COVID-19
B.1.1.7 variant
Wastewater-based epidemiology (WBE)
RT-qPCR
NGS
Fecha de publicación16-ago-2021
EditorAmerican Chemical Society
CitaciónEnvironmental Science and Technology - Columbus 55(17): 11756–11766 (2021)
ResumenSince 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.
Versión del editorhttps://doi.org/10.1021/acs.est.1c03589
URIhttp://hdl.handle.net/10261/250551
DOI10.1021/acs.est.1c03589
ISSN0013-936X
E-ISSN1520-5851
Aparece en las colecciones: (CEBAS) Artículos
(IATA) Artículos
(PTI Salud Global) Colección Especial COVID-19




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
accesoRestringido.pdf15,38 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

PubMed Central
Citations

22
checked on 12-abr-2024

SCOPUSTM   
Citations

34
checked on 15-abr-2024

WEB OF SCIENCETM
Citations

25
checked on 27-feb-2024

Page view(s)

99
checked on 22-abr-2024

Download(s)

17
checked on 22-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.