bioRxivMicrobiology
A method for the unbiased quantification of reassortment in segmented viruses
Abstract
The diversification of segmented viruses via reassortment is important to understand due to the contributions of reassortment to viral evolution and emergence. Methods for the quantification of reassortment have been described, but are often cumbersome and best suited for the analysis of reassortment between highly divergent parental strains. While it is useful to understand the potential of divergent parents to reassort, outcomes of such heterologous reassortment are driven by differential selection acting on the progeny and are typically strain specific. To quantify reassortment, a system free of differential selection is needed. We have generated such a system for influenza A virus and for mammalian orthoreovirus by constructing well-matched parental viruses carrying small genetic tags. The method utilizes high-resolution melt technology for the identification of reassortant viruses. Ease of sample preparation and data analysis enables streamlined genotyping of a large number of virus clones. The method described here thereby allows quantification of the efficiency of unbiased reassortment and can be applied to diverse segmented viruses.\n\nHighlightsO_LIGenetic tagging of viruses can be achieved without altering fitness\nC_LIO_LIHigh-resolution melt can detect single nucleotide differences in viruses\nC_LIO_LIUnbiased reassortment of influenza A virus and mammalian orthoreovirus can be quantified\nC_LI
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Concatenation of segmented viral genomes for reassortment analysis
A. Ivanova, Pavel Volchkov, Andrei A. Deviatkin·bioRxiv·Feb 26, 2024
- Influenza A virus reassortment is strain dependent
K. Y. Taylor, I. Agu, … S. L. Diaz-Munoz·bioRxiv·Sep 26, 2022
- Phylogenetic discordance can substantially overestimate genomic reassortment in avian influenza virus
Hugo Gildardo Castelán-Sánchez, Art F. Y. Poon·bioRxiv·Feb 24, 2025
- Unbiased, Cell-free Profiling of Single Influenza Genomes at High-throughput
Thomas W. Cowell, Wendy Blay Puryear, … Hee‐Sun Han·bioRxiv·Feb 3, 2024
- Bayesian inference of reassortment networks reveals fitness benefits of reassortment in human influenza viruses
N. F. Müller, U. Stolz, … T. Vaughan·bioRxiv·Aug 6, 2019
- TreeKnit: Inferring Ancestral Reassortment Graphs of influenza viruses
Pierre Barrat-Charlaix, Timothy G. Vaughan, Richard A. Neher·PLoS Computational BiologyPeer-reviewed·Aug 19, 2022