ArticleJournal of theoretical biology2015
A coarse-grained biophysical model of sequence evolution and the population size dependence of the speciation rate.
Article in Journal of theoretical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Genetic drift promotes and recombination hinders speciation on holey fitness landscapes.PLoS genetics · 2024Article
- Both Binding Strength and Evolutionary Accessibility Affect the Population Frequency of Transcription Factor Binding Sequences in Arabidopsis thaliana.Genome biology and evolution · 2021Article
- Multi-locus interactions and the build-up of reproductive isolation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
- Biophysics and population size constrains speciation in an evolutionary model of developmental system drift.PLoS computational biology · 2019Article
- Sequence entropy of folding and the absolute rate of amino acid substitutions.Nature ecology & evolution · 2017Article
- A New Mechanism for Mendelian Dominance in Regulatory Genetic Pathways: Competitive Binding by Transcription Factors.Genetics · 2017Article
- Neighboring genes for DNA-binding proteins rescue male sterility in Drosophila hybrids.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Simple Biophysical Model Predicts Faster Accumulation of Hybrid Incompatibilities in Small Populations Under Stabilizing Selection.Genetics · 2015Article
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Authors and funding
2 authors.
Funding
Abstract
Speciation is fundamental to understanding the huge diversity of life on Earth. Although still controversial, empirical evidence suggests that the rate of speciation is larger for smaller populations. Here, we explore a biophysical model of speciation by developing a simple coarse-grained theory of transcription factor-DNA binding and how their co-evolution in two geographically isolated lineages leads to incompatibilities. To develop a tractable analytical theory, we derive a Smoluchowski equation for the dynamics of binding energy evolution that accounts for the fact that natural selection acts on phenotypes, but variation arises from mutations in sequences; the Smoluchowski equation includes selection due to both gradients in fitness and gradients in sequence entropy, which is the logarithm of the number of sequences that correspond to a particular binding energy. This simple consideration predicts that smaller populations develop incompatibilities more quickly in the weak mutation regime; this trend arises as sequence entropy poises smaller populations closer to incompatible regions of phenotype space. These results suggest a generic coarse-grained approach to evolutionary stochastic dynamics, allowing realistic modelling at the phenotypic level.
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