Abstract
Background: Recent estimates indicate that the COVID-19 pandemic, which is caused by the SARS-CoV-2 virus, could be effectively controlled via the development and implementation of diagnostic tools such as quantitative reverse transcription PCR (RT-qPCR). However, this reaction often generates false-negative results due to novel mutations and can also be affected by the secondary structure of the RNA transcripts that derive from the gene sequence used for diagnostic purposes. Methods: Using high-performance computing, we consolidated a global SARS-CoV-2 genome repository encompassing 19,317 genomes from the GenBank database and 107,259 from the GISAID database to generate monthly SARS-CoV-2 consensus sequences from January to December 2020. Results: These sequences were then used to create ORF8-specific primers and probes to validate single and multiplex RT-qPCR protocols both in silico and experimentally using genes E (Berlin protocol) and N (CDC protocol) as targets. Conclusions: Our findings demonstrated that RT-qPCR Ct values were improved by the inclusion of either a denaturing solution composed of tetraethylammonium chloride (TEA) and dimethyl sulfoxide (DMSO) and by adjusting nucleotide proportions based on the SARS-CoV-2 genome.
Funder
Vice-Rectory of Research and Extension of Industrial University of Santander
Ministry of Science, Technology, and Innovation of Colombia
Subject
General Pharmacology, Toxicology and Pharmaceutics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine