Key result
VPrimer successfully designed primer-probe sets covering >95% of variants for 3,104 RNA viruses without cross-reactivity to host or other viral sequences.
Why the study?
Most primer design methods require extensive effort for RNA virus detection and do not account for common variant sequences.
VPrimer is a computational method that efficiently designs highly specific primer-probe sets for RNA viruses with >95% variant coverage.
Fatal infectious diseases caused by RNA viruses, such as COVID-19, have emerged around the world. RT-PCR is widely employed for virus detection, and its accuracy depends on the primers and probes since RT-PCR can detect a virus only when the primers and probes bind to the target gene of the virus. Most of primer design methods are for a single host and so require a great deal of effort to design for RNA virus detection, including homology tests among the host and all the viruses for the host using BLAST-like tools. Furthermore, they do not consider variant sequences, which are very common in viruses. In this study, we describe VPrimer, a method of designing high-quality primer-probe sets for RNA viruses. VPrimer can find primer-probe sets that cover more than 95% of the variants of a target virus but do not cover any sequences of other viruses or the host. With VPrimer, we found 381,698,582 primer-probe sets for 3,104 RNA viruses. Multiplex PCR assays using the top 2 primer-probe sets suggested by VPrimer usually cover 100% of variants. To address the rapid changes in viral genomes, VPrimer finds the best and up-to-date primer-probe sets incrementally against the most recently reported variants.
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Jeon et al. (2021) studied RNA virus detection. VPrimer was evaluated on Variant coverage of primer-probe sets. VPrimer successfully designed primer-probe sets covering >95% of variants for 3,104 RNA viruses without cross-reactivity to host or other viral sequences.
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