ReviewBMC evolutionary biology2018
Protein evolution depends on multiple distinct population size parameters.
Review in BMC evolutionary biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Estimating the proportion of beneficial mutations that are not adaptive in mammals.PLoS genetics · 2024Article
- Genomic Gigantism is not Associated with Reduced Selection Efficiency in Neotropical Salamanders.Journal of molecular evolution · 2024Article
- Genes and sites under adaptation at the phylogenetic scale also exhibit adaptation at the population-genetic scale.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Inferring Long-Term Effective Population Size with Mutation-Selection Models.Molecular biology and evolution · 2021Article
- Article
- Polymorphism Data Assist Estimation of the Nonsynonymous over Synonymous Fixation Rate Ratio ω for Closely Related Species.Molecular biology and evolution · 2020Article
- To see or not to see: molecular evolution of the rhodopsin visual pigment in neotropical electric fishes.Proceedings. Biological sciences · 2019Article
- Detecting amino acid preference shifts with codon-level mutation-selection mixture models.BMC evolutionary biology · 2019Article
- Review
Corrections and comments
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3 authors.
Funding
Abstract
That population size affects the fate of new mutations arising in genomes, modulating both how frequently they arise and how efficiently natural selection is able to filter them, is well established. It is therefore clear that these distinct roles for population size that characterize different processes should affect the evolution of proteins and need to be carefully defined. Empirical evidence is consistent with a role for demography in influencing protein evolution, supporting the idea that functional constraints alone do not determine the composition of coding sequences.Given that the relationship between population size, mutant fitness and fixation probability has been well characterized, estimating fitness from observed substitutions is well within reach with well-formulated models. Molecular evolution research has, therefore, increasingly begun to leverage concepts from population genetics to quantify the selective effects associated with different classes of mutation. However, in order for this type of analysis to provide meaningful information about the intra- and inter-specific evolution of coding sequences, a clear definition of concepts of population size, what they influence, and how they are best parameterized is essential.Here, we present an overview of the many distinct concepts that "population size" and "effective population size" may refer to, what they represent for studying proteins, and how this knowledge can be harnessed to produce better specified models of protein evolution.
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