Global epistasis on fitness landscapes
Глобальный эпистаз на ландшафтах приспособленности
2023-04-02
SCID: 54.1/5nqfrwdx
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adaptive trajectoriesepistatic interactionsevolutionary predictionfitness landscapesglobal epistasis
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Abstract (AI)
Epistatic interactions between mutations add substantial complexity to adaptive landscapes and are often thought of as detrimental to our ability to predict evolution. Yet, patterns of global epistasis, in which the fitness effect of a mutation is well-predicted by the fitness of its genetic background, may actually be of help in our efforts to reconstruct fitness landscapes and infer adaptive trajectories. Microscopic interactions between mutations, or inherent nonlinearities in the fitness landscape, may cause global epistasis patterns to emerge. In this brief review, we provide a succinct overview of recent work about global epistasis, with an emphasis on building intuition about why it is often observed. To this end, we reconcile simple geometric reasoning with recent mathematical analyses, using these to explain why different mutations in an empirical landscape may exhibit different global epistasis patterns-ranging from diminishing to increasing returns. Finally, we highlight open questions and research directions. This article is part of the theme issue 'Interdisciplinary approaches to predicting evolutionary biology'.
Key Findings
1
Geometric reasoning and mathematical analyses explain why empirical mutations can display distinct patterns, including diminishing and increasing returns.
2
Global epistasis describes cases where a mutation’s fitness effect is well predicted by the fitness of its genetic background, potentially improving evolutionary prediction.
3
Microscopic mutation interactions and intrinsic nonlinearities in fitness landscapes can generate observable global epistasis patterns.
4
The review synthesizes recent global-epistasis research and identifies open questions for reconstructing fitness landscapes and inferring adaptive trajectories.
Research Object
fitness landscapes with epistatic interactions between mutations
Research Subject
the emergence and variation of global epistasis patterns, including diminishing and increasing returns, and their implications for reconstructing fitness landscapes and inferring adaptive trajectories
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2023-04-02
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