ArticleJournal of the Royal Society, Interface2023
Evolutionary rescue on genotypic fitness landscapes.
Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Assessing phototaxis behavior in non-resistant and insecticide-resistant populations of Hyalella azteca.Ecotoxicology (London, England) · 2026Article
- "Excluded phenotypes" restrict genetic paths toward adaptation in declining populations.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Maintaining Local Adaptation Is Key for Evolutionary Rescue and Long-Term Persistence of Populations Experiencing Habitat Loss and a Changing Environment.Evolutionary applications · 2025Article
- Evolutionary rescue on genotypic fitness landscapes.Journal of the Royal Society, Interface · 2023Article
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Authors and funding
2 authors.
Funding
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Abstract
Populations facing adverse environments, novel pathogens or invasive competitors may be destined to extinction if they are unable to adapt rapidly. Quantitative predictions of the probability of survival through adaptation, evolutionary rescue, have been previously developed for one of the most natural and well-studied mappings from an organism's traits to its fitness, Fisher's geometric model (FGM). While FGM assumes that all possible trait values are accessible via mutation, in many applications only a finite set of rescue mutations will be available, such as mutations conferring resistance to a parasite, predator or toxin. We predict the probability of evolutionary rescue, via de novo mutation, when this underlying genetic structure is included. We find that rescue probability is always reduced when its genetic basis is taken into account. Unlike other known features of the genotypic FGM, however, the probability of rescue increases monotonically with the number of available mutations and approaches the behaviour of the classical FGM as the number of available mutations approaches infinity.
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