Artículo
SARS-CoV-2 Genomic Surveillance Enables the Identification of Delta/Omicron Co-Infections in Argentina
Pisano, María Belén
; Sicilia, Paola; Zeballos, Maximiliano; Andrea, Luca; Fernandez, Franco Daniel
; Castro, Gonzalo Manuel
; Goya, Stephanie
; Viegas, Mariana
; Laura, Lopez; Barbas, Maria Gabriela; Ré, Viviana Elizabeth
Fecha de publicación:
06/2022
Editorial:
Frontiers Media
Revista:
Frontiers in Virology
e-ISSN:
2673-818X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Molecular surveillance of SARS-CoV-2 is crucial for the early detection of new variants and lineages. In addition, detection of co-infections with more than one SARS-CoV-2 lineage has been sporadically reported. In this work, surveillance of SARS-CoV-2 variants was performed on 2,067 RNA samples (Ct > 30) obtained during December 2021 and January 2022 from Córdoba province, Argentina, by real-time RT-PCR specific for variants of concern (VOCs) and variants of interest (VOIs) relevant mutations (TaqMan™ SARS-CoV-2 Mutation Panel, Applied Biosystems). The following distribution of variants was obtained: Omicron (54.9%), Delta (44.2%), and Lambda (0.8%). Three samples (0.1%), from the last week of December, were compatible with a Delta/Omicron co-infection. One of them was sequenced by NGS-Illumina, obtaining reads for both VOCs. One of the co-infected patients presented with severe symptoms, was not vaccinated, and had risk factors (older than 60 years and arterial hypertension). We describe for the first time in Argentina the identification of cases of co-infection with two SARS-CoV-2 lineages, VOCs Delta and Omicron, during the third COVID-19 wave in the country (a high viral circulation period), when Delta and Omicron co-circulated. Our findings highlight the importance of continuing molecular surveillance, in order to elucidate possible recombination events and the emergence of new variants.
Palabras clave:
SARS-COV-2
,
CO-INFECTION
,
DELTA
,
OMICRON
,
ARGENTINA
,
MOLECULAR SURVEILLANCE
,
COVID-19
Archivos asociados
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Identificadores
Colecciones
Articulos (UFYMA)
Articulos de UNIDAD DE FITOPATOLOGIA Y MODELIZACION AGRICOLA
Articulos de UNIDAD DE FITOPATOLOGIA Y MODELIZACION AGRICOLA
Articulos(CCT - CORDOBA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CORDOBA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - CORDOBA
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Pisano, María Belén; Sicilia, Paola; Zeballos, Maximiliano ; Andrea, Luca; Fernandez, Franco Daniel; et al.; SARS-CoV-2 Genomic Surveillance Enables the Identification of Delta/Omicron Co-Infections in Argentina; Frontiers Media; Frontiers in Virology; 2; 910839; 6-2022; 1-5
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