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Global epistasis on fitness landscapes.
Diaz-Colunga, Juan; Skwara, Abigail; Gowda, Karna; Diaz-Uriarte, Ramon; Tikhonov, Mikhail; Bajic, Djordje; Sanchez, Alvaro.
Afiliación
  • Diaz-Colunga J; Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA.
  • Skwara A; Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA.
  • Gowda K; Department of Ecology & Evolution & Center for the Physics of Evolving Systems, The University of Chicago, Chicago, IL 60637, USA.
  • Diaz-Uriarte R; Department of Biochemistry, School of Medicine, Universidad Autónoma de Madrid, Madrid 28029, Spain.
  • Tikhonov M; Instituto de Investigaciones Biomédicas 'Alberto Sols' (UAM-CSIC), Madrid 28029, Spain.
  • Bajic D; Department of Physics, Washington University of St Louis, St Louis, MO 63130, USA.
  • Sanchez A; Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA.
Philos Trans R Soc Lond B Biol Sci ; 378(1877): 20220053, 2023 05 22.
Article en En | MEDLINE | ID: mdl-37004717
ABSTRACT
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'.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epistasis Genética / Modelos Genéticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Philos Trans R Soc Lond B Biol Sci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epistasis Genética / Modelos Genéticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Philos Trans R Soc Lond B Biol Sci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos