ArticleVirus evolution2023
Mutation rate, selection, and epistasis inferred from RNA virus haplotypes via neural posterior estimation.
Article in Virus evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Collective posterior inference from highly variable empirical replicates.PLoS computational biology · 2026Article
- Advancing RNA phage biology through meta-omics.Nucleic acids research · 2025Review
- Template switching during DNA replication is a prevalent source of adaptive gene amplification.eLife · 2025Article
- Navigating a Fine Balance: Point-Mutant Cheater Viruses Disrupt the Viral Replication Cycle.Molecular biology and evolution · 2025Article
- Template switching during DNA replication is a prevalent source of adaptive gene amplification.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA viruses are particularly notorious for their high levels of genetic diversity, which is generated through the forces of mutation and natural selection. However, disentangling these two forces is a considerable challenge, and this may lead to widely divergent estimates of viral mutation rates, as well as difficulties in inferring the fitness effects of mutations. Here, we develop, test, and apply an approach aimed at inferring the mutation rate and key parameters that govern natural selection, from haplotype sequences covering full-length genomes of an evolving virus population. Our approach employs
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