Epistasis and Adaptation on Fitness Landscapes

Эпистаз и адаптация на ландшафтах приспособленности
Claudia Bank
2022-09-14

adaptationcompetitive fitnessepistasisfitness landscape theoryfitness landscapes
Epistasis occurs when the effect of a mutation depends on its carrier's genetic background. Despite increasing evidence that epistasis for fitness is common, its role during evolution is contentious. Fitness landscapes, which are mappings of genotype or phenotype to fitness, capture the full extent and complexity of epistasis. Fitness landscape theory has shown how epistasis affects the course and the outcome of evolution. Moreover, by measuring the competitive fitness of sets of tens to thousands of connected genotypes, empirical fitness landscapes have shown that epistasis is frequent and depends on the fitness measure, the choice of mutations for the landscape, and the environment in which it was measured. In this article, I review fitness landscape theory and experiments and their implications for the role of epistasis in adaptation. I discuss theoretical expectations in the light of empirical fitness landscapes and highlight open challenges and future directions toward integrating theory and data and incorporating ecological factors.
1
Empirical landscapes measuring tens to thousands of connected genotypes demonstrate that epistasis frequency depends on the fitness measure, mutation set, and environment.
2
Epistasis is widespread in fitness landscapes, with mutation effects depending on genetic background and shaping evolutionary trajectories and outcomes.
3
Fitness landscape theory provides a framework for explaining how epistasis influences adaptation, but theoretical expectations must be evaluated against empirical landscape data.
4
Integrating fitness landscape theory with empirical measurements and ecological factors remains a major open challenge for understanding adaptation.

fitness landscapes of connected genotypes or phenotypes across environments

the role of epistasis in adaptation, including its effects on evolutionary trajectories and outcomes and its dependence on fitness measures, mutations, and environment

Publication Details
Publication Date
2022-09-14
Journal
Publisher
ISSN
Cited by
159
Access Type
Author Information
Authors
Claudia Bank
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%