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Multiplex RT-qPCR strategy for SARS-CoV-2 variants detection in developing countries without ngs: The Bolivian
Rudy Parrado1,2, Carolina X Cuba-Grandy1, Eugenia Fuentes-Luppichini3
1Instituto de Investigaciones Biomédicas (IIBISMED), Universidad Mayor de San Simón, Cochabamba, Bolivia.
Epidemiology and Infection
|August 14, 2025
Summary
A new RT-qPCR strategy efficiently detects SARS-CoV-2 variants of concern in Bolivia, overcoming resource limitations. This method guides whole genome sequencing for broader variant surveillance and public health response.
Area of Science:
- Virology
- Genomics
- Public Health
Background:
- SARS-CoV-2 rapidly evolves, producing variants of concern (VOCs) with increased transmissibility and immune evasion.
- Whole genome sequencing (WGS) is the gold standard for variant identification but resource-intensive.
- Genomic surveillance in Bolivia faces challenges due to limited infrastructure and resources.
Purpose of the Study:
- To develop and validate an RT-qPCR-based strategy for detecting key mutations of SARS-CoV-2 VOCs and variants of interest (VOIs) in Bolivia.
- To address limitations in genomic surveillance capacity in resource-constrained settings.
Main Methods:
- Utilized multiplex RT-qPCR commercial kits (Allplex Master and Variants I, ValuPanel) to target specific mutations (HV69/70del, E484K, N501Y, P681H, K417N/T).
- These mutations are characteristic of Alpha, Beta, Gamma, Omicron, Mu, and Zeta variants.
- Evaluated 157 samples from Cochabamba, Bolivia, between January and November 2021.
Main Results:
- Identified 44 Gamma, 2 Zeta, 20 Mu, and 10 Omicron variant samples.
- Validated the RT-qPCR strategy against whole genome sequencing (WGS) data using Oxford Nanopore technology.
- Achieved a high concordance rate of 0.96 between the RT-qPCR strategy and WGS.
Conclusions:
- The RT-qPCR strategy is effective for rapid, cost-efficient detection of known SARS-CoV-2 variants in resource-limited settings.
- This approach enhances genomic surveillance by guiding the selection of samples for WGS, enabling broader variant detection.
- The strategy supports public health efforts in controlling COVID-19 by facilitating timely identification of emerging variants.

