ArticleGenome biology and evolution2025
Amino Acid Properties, Substitution Rates, and the Nearly Neutral Theory.
Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Electroporation of pLI50 harboring qacA or qacB increases chlorhexidine minimal inhibitory concentrations in transformed Staphylococcus aureus strain RN4220.Scientific reports · 2026Article
- The Use of dN/dS Ratios to Investigate Types of Selection in Related Sexual and Asexual Lineages.Genome biology and evolution · 2026Review
- DEX: a consensus-based amino acid exchangeability measure for improved codon substitution modelling.bioRxiv : the preprint server for biology · 2026Article
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2 authors.
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Abstract
Do the properties of amino acids affect their rates of substitution? The neutral theory predicts that greater selective constraint leads to slower rates of evolution; similarly, we expect amino acids that are more different from each other to have lower rates of exchange because such changes are most likely to affect protein structure and function. Here, we test these predictions, using substitution rates estimated from empirical amino acid exchangeability matrices. To measure degree of amino acid difference, we focused on two physicochemical properties, charge and size, uncorrelated metrics that are known to have important implications for protein structure and function. We find that for both charge and size, amino acid pairs with large differences had lower rates of substitution. We also found that amino acids that differed in both properties had the lowest rates of substitution, suggesting that both physicochemical properties are under selective constraint. Mutation properties, such as the number of mutations or the number of transitions as opposed to transversions separating amino acid pairs, were also important predictors of substitution rates. The relationship between amino acid substitution rates and differences in their physiochemical properties holds across several taxonomically restricted datasets. This finding suggests that purifying selection affects amino acid substitution rates in a similar manner across taxonomic groups with different effective population sizes.
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