ArticlePloS one2013
Evolutionary invasion and escape in the presence of deleterious mutations.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Spillover: Mechanisms, Genetic Barriers, and the Role of Reservoirs in Emerging Pathogens.Microorganisms · 2024Review
- Using phylogeographic link-prediction in primates to prioritize human parasite screening.American journal of biological anthropology · 2023Article
- Live animal markets: Identifying the origins of emerging infectious diseases.Current opinion in environmental science & health · 2022Review
- Cross-scale dynamics and the evolutionary emergence of infectious diseases.Virus evolution · 2021Article
- Expected Effect of Deleterious Mutations on Within-Host Adaptation of Pathogens.Journal of virology · 2015Article
- The evolution and genetics of virus host shifts.PLoS pathogens · 2014Review
- Promise and reality in the expanding field of network interaction analysis: metabolic networks.Bioinformatics and biology insights · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Replicators such as parasites invading a new host species, species invading a new ecological niche, or cancer cells invading a new tissue often must mutate to adapt to a new environment. It is often argued that a higher mutation rate will favor evolutionary invasion and escape from extinction. However, most mutations are deleterious, and even lethal. We study the probability that the lineage will survive and invade successfully as a function of the mutation rate when both the initial strain and an adaptive mutant strain are threatened by lethal mutations. We show that mutations are beneficial, i.e. a non-zero mutation rate increases survival compared to the limit of no mutations, if in the no-mutation limit the survival probability of the initial strain is smaller than the average survival probability of the strains which are one mutation away. The mutation rate that maximizes survival depends on the characteristics of both the initial strain and the adaptive mutant, but if one strain is closer to the threshold governing survival then its properties will have greater influence. These conclusions are robust for more realistic or mechanistic depictions of the fitness landscapes such as a more detailed viral life history, or non-lethal deleterious mutations.
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Registered trials
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