ArticleProceedings. Biological sciences2013
Viral mutation rates: modelling the roles of within-host viral dynamics and the trade-off between replication fidelity and speed.
Article in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Developmental speed and chronological time exert opposing effects on the spontaneous mutation rate inEvolution letters · 2026Article
- Genetic and Respiratory Pathogenic Comparison of Two PRRSV-2 Isolates Classified as Lineage Korean A and B.Transboundary and emerging diseases · 2026Article
- Molecular characterization of human respiratory syncytial virus in Mexico (season 2023-2024) through whole-genome sequencing.Scientific reports · 2025Article
- Egress-enhancing mutation reveals the inefficiency of non-enveloped virus cell exit.PLoS biology · 2025Article
- Review
- Spillover: Mechanisms, Genetic Barriers, and the Role of Reservoirs in Emerging Pathogens.Microorganisms · 2024Review
- Analysis of SARS-CoV-2 genome evolutionary patterns.Microbiology spectrum · 2024Article
- Contact-number-driven virus evolution: A multi-level modeling framework for the evolution of acute or persistent RNA virus infection.PLoS computational biology · 2023Article
- The Second Human Pegivirus, a Non-Pathogenic RNA Virus with Low Prevalence and Minimal Genetic Diversity.Viruses · 2022Review
- Replication of the coronavirus genome: A paradox among positive-strand RNA viruses.The Journal of biological chemistry · 2022Review
- Tradeoffs for a viral mutant with enhanced replication speed.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
- Comprehensive analysis of genomic diversity of SARS-CoV-2 in different geographic regions of India: an endeavour to classify Indian SARS-CoV-2 strains on the basis of co-existing mutations.Archives of virology · 2021Article
- Emerging zoonotic diseases originating in mammals: a systematic review of effects of anthropogenic land-use change.Mammal review · 2020Review
- Within-Host Viral Diversity: A Window into Viral Evolution.Annual review of virology · 2020Review
- SARS-CoV-2: What do we know so far?Acta physiologica (Oxford, England) · 2020Article
- Low mutation rates promote the evolution of advantageous traits by preventing interference from deleterious mutations.Genetica · 2020Article
- Fitness Barriers Limit Reversion of a Proofreading-Deficient Coronavirus.Journal of virology · 2019Article
- Immune Response Modulation by Caliciviruses.Frontiers in immunology · 2019Review
- Evolutionary Virology at 40.Genetics · 2018Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many viruses, particularly RNA viruses, mutate at a very high rate per genome per replication. One possible explanation is that high mutation rates are selected to meet the challenge of fluctuating environments, including the host immune response. Alternatively, recent studies argue that viruses evolve under a trade-off between replication speed and fidelity such that fast replication is selected, and, along with it, high mutation rates. Here, in addition to these factors, we consider the role of viral life-history properties: namely, the within-host dynamics of viruses resulting from their interaction with the host. We develop mathematical models incorporating factors occurring within and between hosts, including deleterious and advantageous mutations, host death owing to virulence and clearance of viruses by the host. Beneficial mutations confer both a within-host and a transmission advantage. First, we find that advantageous mutations have only a weak effect on the optimal genomic mutation rate. Second, viral life-history properties have a large effect on the mutation rate. Third, when the speed-fidelity trade-off is included, there can be two locally optimal mutation rates. Our analysis provides a way to consider how life-history properties combine with biochemical trade-offs to shape mutation rates.
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