TY - JOUR
T1 - Variation of the adaptive substitution rate between species and within genomes
AU - Moutinho, Ana Filipa
AU - Bataillon, Thomas
AU - Dutheil, Julien Y.
PY - 2020/6
Y1 - 2020/6
N2 - The importance of adaptive mutations in molecular evolution is extensively debated. Recent developments in population genomics allow inferring rates of adaptive mutations by fitting a distribution of fitness effects to the observed patterns of polymorphism and divergence at sites under selection and sites assumed to evolve neutrally. Here, we summarize the current state-of-the-art of these methods and review the factors that affect the molecular rate of adaptation. Several studies have reported extensive cross-species variation in the proportion of adaptive amino-acid substitutions (α) and predicted that species with larger effective population sizes undergo less genetic drift and higher rates of adaptation. Disentangling the rates of positive and negative selection, however, revealed that mutations with deleterious effects are the main driver of this population size effect and that adaptive substitution rates vary comparatively little across species. Conversely, rates of adaptive substitution have been documented to vary substantially within genomes. On a genome-wide scale, gene density, recombination and mutation rate were observed to play a role in shaping molecular rates of adaptation, as predicted under models of linked selection. At the gene level, it has been reported that the gene functional category and the macromolecular structure substantially impact the rate of adaptive mutations. Here, we deliver a comprehensive review of methods used to infer the molecular adaptive rate, the potential drivers of adaptive evolution and how positive selection shapes molecular evolution within genes, across genes within species and between species.
AB - The importance of adaptive mutations in molecular evolution is extensively debated. Recent developments in population genomics allow inferring rates of adaptive mutations by fitting a distribution of fitness effects to the observed patterns of polymorphism and divergence at sites under selection and sites assumed to evolve neutrally. Here, we summarize the current state-of-the-art of these methods and review the factors that affect the molecular rate of adaptation. Several studies have reported extensive cross-species variation in the proportion of adaptive amino-acid substitutions (α) and predicted that species with larger effective population sizes undergo less genetic drift and higher rates of adaptation. Disentangling the rates of positive and negative selection, however, revealed that mutations with deleterious effects are the main driver of this population size effect and that adaptive substitution rates vary comparatively little across species. Conversely, rates of adaptive substitution have been documented to vary substantially within genomes. On a genome-wide scale, gene density, recombination and mutation rate were observed to play a role in shaping molecular rates of adaptation, as predicted under models of linked selection. At the gene level, it has been reported that the gene functional category and the macromolecular structure substantially impact the rate of adaptive mutations. Here, we deliver a comprehensive review of methods used to infer the molecular adaptive rate, the potential drivers of adaptive evolution and how positive selection shapes molecular evolution within genes, across genes within species and between species.
KW - Adaptive evolution
KW - Between-species
KW - Intra-molecular
KW - Molecular evolution
KW - Within-genomes
KW - PROTEIN-CODING GENES
KW - DROSOPHILA-MELANOGASTER
KW - MOLECULAR EVOLUTION
KW - AMINO-ACID SUBSTITUTIONS
KW - EFFECTIVE POPULATION-SIZE
KW - POSITIVE SELECTION
KW - CODON-SUBSTITUTION
KW - NATURAL-SELECTION
KW - NEGATIVE SELECTION
KW - DELETERIOUS MUTATIONS
UR - http://www.scopus.com/inward/record.url?scp=85076827480&partnerID=8YFLogxK
U2 - 10.1007/s10682-019-10026-z
DO - 10.1007/s10682-019-10026-z
M3 - Journal article
AN - SCOPUS:85076827480
SN - 0269-7653
VL - 34
SP - 315
EP - 338
JO - Evolutionary Ecology
JF - Evolutionary Ecology
IS - 3
ER -