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

dc.contributor.authorRudy Parrado
dc.contributor.authorCarolina X Cuba-Grandy
dc.contributor.authorEugenia Fuentes-Luppichini
dc.contributor.authorNattaly Grecia Torrico Villarroel
dc.contributor.authorYercin Mamani Ortiz
dc.contributor.authorJavier Méndez
dc.contributor.authorBetty Melgarejo
dc.contributor.authorIrenice Coronado-Arrázola
dc.contributor.authorNair A. Montaño
dc.contributor.authorLeonardo I. Almonacid
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:41:43Z
dc.date.available2026-03-22T19:41:43Z
dc.date.issued2025
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 Allplex<sup>TM</sup> Master and Variants I (Seegene®) and the ValuPanel<sup>TM</sup> (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 Nanopore<sup>TM</sup> 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.
dc.identifier.doi10.1017/s095026882510037x
dc.identifier.urihttps://doi.org/10.1017/s095026882510037x
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/77568
dc.language.isoen
dc.publisherCambridge University Press
dc.relation.ispartofEpidemiology and Infection
dc.sourceInstituto de Investigaciones en Ciencias de la Salud
dc.subjectSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
dc.subjectMultiplex
dc.subjectCoronavirus disease 2019 (COVID-19)
dc.subject2019-20 coronavirus outbreak
dc.subjectVirology
dc.subjectBetacoronavirus
dc.subjectCoronavirus Infections
dc.subjectSars virus
dc.subjectBiology
dc.subjectComputational biology
dc.titleMultiplex RT-qPCR strategy for SARS-CoV-2 variants detection in developing countries without ngs: The Bolivian experience
dc.typearticle

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