Population Persistence Under High Mutation Rate: From Evolutionary Rescue to Lethal Mutagenesis
Overview
Affiliations
Populations may genetically adapt to severe stress that would otherwise cause their extirpation. Recent theoretical work, combining stochastic demography with Fisher's geometric model of adaptation, has shown how evolutionary rescue becomes unlikely beyond some critical intensity of stress. Increasing mutation rates may however allow adaptation to more intense stress, raising concerns about the effectiveness of treatments against pathogens. This previous work assumes that populations are rescued by the rise of a single resistance mutation. However, even in asexual organisms, rescue can also stem from the accumulation of multiple mutations in a single genome. Here, we extend previous work to study the rescue process in an asexual population where the mutation rate is sufficiently high so that such events may be common. We predict both the ultimate extinction probability of the population and the distribution of extinction times. We compare the accuracy of different approximations covering a large range of mutation rates. Moderate increase in mutation rates favors evolutionary rescue. However, larger increase leads to extinction by the accumulation of a large mutation load, a process called lethal mutagenesis. We discuss how these results could help design "evolution-proof" antipathogen treatments that even highly mutable strains could not overcome.
Baiotto T, Guzman L Evol Appl. 2025; 18(3):e70081.
PMID: 40046159 PMC: 11881017. DOI: 10.1111/eva.70081.
Evolutionary rescue on genotypic fitness landscapes.
Wahl L, Campos P J R Soc Interface. 2023; 20(208):20230424.
PMID: 37963553 PMC: 10645506. DOI: 10.1098/rsif.2023.0424.
The contribution of evolvability to the eco-evolutionary dynamics of competing species.
Bukkuri A, Pienta K, Amend S, Austin R, Hammarlund E, Brown J Ecol Evol. 2023; 13(10):e10591.
PMID: 37829179 PMC: 10565728. DOI: 10.1002/ece3.10591.
Why are viral genomes so fragile? The bottleneck hypothesis.
Merleau N, Penisson S, Gerrish P, Elena S, Smerlak M PLoS Comput Biol. 2021; 17(7):e1009128.
PMID: 34237053 PMC: 8291636. DOI: 10.1371/journal.pcbi.1009128.
Evolutionary Rescue of an Environmental in Response to Anthropogenic Perturbation.
Garcia-Ulloa M, Escalante A, Moreno-Letelier A, Eguiarte L, Souza V Front Microbiol. 2021; 11:563885.
PMID: 33552002 PMC: 7856823. DOI: 10.3389/fmicb.2020.563885.