Multiplex RT-qPCR strategy for SARS-CoV-2 variants detection in developing countries without ngs: The Bolivian experience.

dc.contributor.authorParrado, Rudy
dc.contributor.authorCuba-Grandy, Carolina X
dc.contributor.authorFuentes-Luppichini, Eugenia
dc.contributor.authorTorrico Villarroel, Nattaly Grecia
dc.contributor.authorMamani-Ortiz, Yercin
dc.contributor.authorMendez, Jaqueline
dc.contributor.authorMelgarejo, Betty
dc.contributor.authorCoronado-Arrázola, Irenice
dc.contributor.authorMontaño, Nair A
dc.contributor.authorAlmonacid, Leonardo I
dc.contributor.authorMedina, Rafael A
dc.contributor.authorGarcia, Lineth
dc.contributor.authorPardo-Roa, Catalina
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-24T15:02:30Z
dc.date.available2026-03-24T15:02:30Z
dc.date.issued2025
dc.descriptionVol. 153, pp. e94
dc.description.abstractThe rapid evolution of SARS-CoV-2 has led to the emergence of variants of concern (VOCs) characterized by increased transmissibility, pathogenicity, and resistance to neutralizing antibodies. Identifying these variants is essential for guiding public health efforts to control COVID-19. Although whole genome sequencing (WGS) is the gold standard for variant identification, its implementation is often limited in developing countries due to resource constraints. In Bolivia, genomic surveillance is a challenge due to its limited technological infrastructure and resources. An RT-qPCR-based strategy was designed to address these limitations and detect the mutations associated with VOCs and variants of interest (VOIs). The multiplex RT-qPCR commercial kits AllplexTM Master and Variants I (Seegene®) and the ValuPanelTM (Biosearch®) were used to target mutations such as HV69/70del, E484K, N501Y, P681H, and K417N/T. They are characteristic of the Alpha (B.1.1.7), Beta (B.1.531), Gamma (P.1), Omicron (B.1.1.529), Mu (B.1.621), and Zeta (P.2) variants. A total of 157 samples collected in Cochabamba from January to November 2021 were evaluated, identifying 44 Gamma, 2 Zeta, 20 Mu, and 10 Omicron were identified. The strategy's effectiveness was validated against WGS data generated with Oxford NanoporeTM technology, showing a concordance rate of 0.96. This highlights the value of the RT-qPCR strategy in guiding the selection of samples for WGS, enabling broader detection of new variants that cannot be identified by RT-qPCR alone.eng
dc.description.sponsorshipInstituto de Investigaciones Biomédicas (IIBISMED), Universidad Mayor de San Simón, Cochabamba, Bolivia. | Facultad de Ciencias Farmacéuticas y Bioquímicas, https://ror.org/03z27es23Universidad Mayor de San Simón, Cochabamba, Bolivia. | Instituto de Investigaciones Biomédicas (IIBISMED), Universidad Mayor de San Simón, Cochabamba, Bolivia.
dc.identifier.doi10.1017/S095026882510037X
dc.identifier.issn1469-4409
dc.identifier.otherPMID:40813133
dc.identifier.urihttps://doi.org/10.1017/S095026882510037X
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/100856
dc.language.isoeng
dc.relation.ispartofEpidemiology and infection
dc.sourcePubMed
dc.titleMultiplex RT-qPCR strategy for SARS-CoV-2 variants detection in developing countries without ngs: The Bolivian experience.
dc.typeArtículo Científico Publicado

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