ArticleHeredity2018
Evolutionary constraints in fitness landscapes.
Article in Heredity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Inference of fitness landscapes with heterogeneous patterns of epistasis across sites.bioRxiv : the preprint server for biology · 2026Article
- Descent from a common ancestor restricts exploration of protein sequence space.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Evolutionary pathways in epistatic mechanical networks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Inference and Visualization of Complex Genotype-Phenotype Maps.Molecular biology and evolution · 2026Article
- Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025Article
- On the Probability of Reaching High Peaks in Fitness Landscapes by Adaptive Walks.Molecular biology and evolution · 2025Article
- Parallel genetic adaptation ofMicrobial genomics · 2023Article
- Not Quite Lost in Translation: Mistranslation Alters Adaptive Landscape Topography and the Dynamics of Evolution.Molecular biology and evolution · 2023Article
- Impact of population size on early adaptation in rugged fitness landscapes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
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- Article
- Dynamic RNA Fitness Landscapes of a Group I Ribozyme during Changes to the Experimental Environment.Molecular biology and evolution · 2022Article
- Predicting higher-order mutational effects in an RNA enzyme by machine learning of high-throughput experimental data.Frontiers in molecular biosciences · 2022Article
- Evolutionary history of the SARS-CoV-2 Gamma variant of concern (P.1): a perfect storm.Genetics and molecular biology · 2022Article
- Evolutionary Pathways and Trajectories in Antibiotic Resistance.Clinical microbiology reviews · 2021Article
- Conditional prediction of consecutive tumor evolution using cancer progression models: What genotype comes next?PLoS computational biology · 2021Article
- Deep diversification of an AAV capsid protein by machine learning.Nature biotechnology · 2021Article
- A two-step PCR assembly for construction of gene variants across large mutational distances.Biology methods & protocols · 2021Article
- Senescence and entrenchment in evolution of amino acid sites.Nature communications · 2020Article
- Minimum epistasis interpolation for sequence-function relationships.Nature communications · 2020Article
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4 authors.
Funding
Abstract
In the last years, several genotypic fitness landscapes-combinations of a small number of mutations-have been experimentally resolved. To learn about the general properties of "real" fitness landscapes, it is key to characterize these experimental landscapes via simple measures of their structure, related to evolutionary features. Some of the most relevant measures are based on the selectively acessible paths and their properties. In this paper, we present some measures of evolutionary constraints based on (i) the similarity between accessible paths and (ii) the abundance and characteristics of "chains" of obligatory mutations, that are paths going through genotypes with a single fitter neighbor. These measures have a clear evolutionary interpretation. Furthermore, we show that chains are only weakly correlated to classical measures of epistasis. In fact, some of these measures of constraint are non-monotonic in the amount of epistatic interactions, but have instead a maximum for intermediate values. Finally, we show how these measures shed light on evolutionary constraints and predictability in experimentally resolved landscapes.
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