ArticleGenetics2016
Epistasis and the Structure of Fitness Landscapes: Are Experimental Fitness Landscapes Compatible with Fisher's Geometric Model?
Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Review
- How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.Chemical Society reviews · 2026Review
- Effects of inbreeding on balancing selection: insights from Fisher's geometric model.Genetics · 2025Article
- The importance of epistasis in the evolution of viral pathogens.Virus evolution · 2025Review
- Unpredictability of the Fitness Effects of Antimicrobial Resistance Mutations Across Environments in Escherichia coli.Molecular biology and evolution · 2024Article
- A null model for the distribution of fitness effects of mutations.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Host heterogeneity and epistasis explain punctuated evolution of SARS-CoV-2.PLoS computational biology · 2023Article
- Immune Heterogeneity and Epistasis Explain Punctuated Evolution of SARS-CoV-2.medRxiv : the preprint server for health sciences · 2022Article
- Article
- Neural networks enable efficient and accurate simulation-based inference of evolutionary parameters from adaptation dynamics.PLoS biology · 2022Article
- Evolutionary Pathways and Trajectories in Antibiotic Resistance.Clinical microbiology reviews · 2021Article
- Inferring Long-Term Effective Population Size with Mutation-Selection Models.Molecular biology and evolution · 2021Article
- Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types.PLoS computational biology · 2021Article
- Article
- Article
- Analysis of statistical correlations between properties of adaptive walks in fitness landscapes.Royal Society open science · 2020Article
- The evolution of hybrid fitness during speciation.PLoS genetics · 2019Article
- The distribution of epistasis on simple fitness landscapes.Biology letters · 2019Article
- Mathematical modeling of movement on fitness landscapes.BMC systems biology · 2019Article
- Article
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2 authors.
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Abstract
The fitness landscape defines the relationship between genotypes and fitness in a given environment and underlies fundamental quantities such as the distribution of selection coefficient and the magnitude and type of epistasis. A better understanding of variation in landscape structure across species and environments is thus necessary to understand and predict how populations will adapt. An increasing number of experiments investigate the properties of fitness landscapes by identifying mutations, constructing genotypes with combinations of these mutations, and measuring the fitness of these genotypes. Yet these empirical landscapes represent a very small sample of the vast space of all possible genotypes, and this sample is often biased by the protocol used to identify mutations. Here we develop a rigorous statistical framework based on Approximate Bayesian Computation to address these concerns and use this flexible framework to fit a broad class of phenotypic fitness models (including Fisher's model) to 26 empirical landscapes representing nine diverse biological systems. Despite uncertainty owing to the small size of most published empirical landscapes, the inferred landscapes have similar structure in similar biological systems. Surprisingly, goodness-of-fit tests reveal that this class of phenotypic models, which has been successful so far in interpreting experimental data, is a plausible in only three of nine biological systems. More precisely, although Fisher's model was able to explain several statistical properties of the landscapes-including the mean and SD of selection and epistasis coefficients-it was often unable to explain the full structure of fitness landscapes.
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