ArticlePLoS computational biology2020
Mutation bias interacts with composition bias to influence adaptive evolution.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026Review
- Evolutionary causes and consequences of gene duplication.Nature reviews. Genetics · 2026Review
- Module-Selection Balance in the Evolution of Modular Organisms.bioRxiv : the preprint server for biology · 2026Article
- Robust genetic codes enhance protein evolvability.PLoS biology · 2024Article
- Genomic Analyses of Major SARS-CoV-2 Variants Predicting Multiple Regions of Pathogenic and Transmissive Importance.Viruses · 2024Article
- Shifts in Mutation Bias Promote Mutators by Altering the Distribution of Fitness Effects.The American naturalist · 2023Article
- Shifts in mutation spectra enhance access to beneficial mutations.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Getting higher on rugged landscapes: Inversion mutations open access to fitter adaptive peaks in NK fitness landscapes.PLoS computational biology · 2022Article
- Directed evolution as an approach to increase fructose utilization in synthetic grape juice by wine yeast AWRI 796.FEMS yeast research · 2022Article
- Mutation bias shapes the spectrum of adaptive substitutions.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes.Molecular biology and evolution · 2022Article
- Both Binding Strength and Evolutionary Accessibility Affect the Population Frequency of Transcription Factor Binding Sequences in Arabidopsis thaliana.Genome biology and evolution · 2021Article
- Towards an engineering theory of evolution.Nature communications · 2021Review
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Mutation is a biased stochastic process, with some types of mutations occurring more frequently than others. Previous work has used synthetic genotype-phenotype landscapes to study how such mutation bias affects adaptive evolution. Here, we consider 746 empirical genotype-phenotype landscapes, each of which describes the binding affinity of target DNA sequences to a transcription factor, to study the influence of mutation bias on adaptive evolution of increased binding affinity. By using empirical genotype-phenotype landscapes, we need to make only few assumptions about landscape topography and about the DNA sequences that each landscape contains. The latter is particularly important because the set of sequences that a landscape contains determines the types of mutations that can occur along a mutational path to an adaptive peak. That is, landscapes can exhibit a composition bias-a statistical enrichment of a particular type of mutation relative to a null expectation, throughout an entire landscape or along particular mutational paths-that is independent of any bias in the mutation process. Our results reveal the way in which composition bias interacts with biases in the mutation process under different population genetic conditions, and how such interaction impacts fundamental properties of adaptive evolution, such as its predictability, as well as the evolution of genetic diversity and mutational robustness.
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