Key result
varVAMP minimizes primer mismatches vs PrimalScheme and Olivar to enable full-genome viral sequencing.
Why the study?
Designing pan-specific primers for time- and cost-saving tiled sequencing and qPCR of viral pathogens with high genomic variability represents a significant challenge.
varVAMP is a novel bioinformatics tool that improves degenerate primer design for tiled full-genome sequencing and qPCR of highly variable viral pathogens.
May aid research on variable viral pathogens; leaves open clinical adoption pending validation.
Time- and cost-saving surveillance of viral pathogens is achieved by tiled sequencing in which a viral genome is amplified in overlapping PCR amplicons and qPCR. However, designing pan-specific primers for viral pathogens with high genomic variability represents a significant challenge. Here, we present a bioinformatics command-line tool, called varVAMP (variable virus amplicons), which addresses this issue. It relies on multiple sequence alignments of highly variable virus sequences and enables degenerate primer design for qPCR or tiled amplicon whole genome sequencing. We demonstrate the utility of varVAMP by designing and evaluating novel pan-specific primer schemes suitable for sequencing the genomes of SARS-CoV-2, Hepatitis E virus, rat Hepatitis E virus, Hepatitis A virus, Borna-disease-virus-1, and Poliovirus using clinical samples. Importantly, we also designed primers on the same input data using the software packages PrimalScheme and Olivar and showed that varVAMP minimizes primer mismatches most efficiently. Finally, we established highly sensitive and specific Poliovirus qPCR assays that could potentially simplify current Poliovirus surveillance. varVAMP is open-source and available through PyPI, UseGalaxy, Bioconda, and https://github.com/jonas-fuchs/varVAMP .
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Fuchs et al. (2025) studied Viral pathogens (SARS-CoV-2, HEV, HAV, BoDV-1, Poliovirus). varVAMP vs. PrimalScheme and Olivar was evaluated on Primer mismatches and genome recovery. varVAMP minimized primer mismatches more efficiently than PrimalScheme and Olivar, enabling successful tiled full-genome sequencing of highly variable viral pathogens.
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