Published April 3, 2023 | Version v1
Journal article Open

Global epistasis on fitness landscapes

  • 1. Yale University
  • 2. University of Chicago
  • 3. Universidad Autónoma de Madrid
  • 4. Washington University of St Louis

Description

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'.

Data availability

The code used to generate all figures can be accessed at github.com/jdiazc9/global_epistasis_review.

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Additional details

Identifiers

DOI
10.1098/rstb.2022.0053
Other
oai:uchicago.tind.io:10248

Funding

Agencia Estatal de Investigación
PID2019-111256RB-I00
Ministerio de Ciencia, Innovación y Universidades
PID2021-125478NA-100

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Ecology and Evolution
Center(s) or Institute(s)
Center for the Physics of Evolving Systems