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      Is adaptation limited by mutation? A timescale-dependent effect of genetic diversity on the adaptive substitution rate in animals

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          Abstract

          Whether adaptation is limited by the beneficial mutation supply is a long-standing question of evolutionary genetics, which is more generally related to the determination of the adaptive substitution rate and its relationship with species effective population size (N e) and genetic diversity. Empirical evidence reported so far is equivocal, with some but not all studies supporting a higher adaptive substitution rate in large-N e than in small-N e species. We gathered coding sequence polymorphism data and estimated the adaptive amino-acid substitution rate ω a, in 50 species from ten distant groups of animals with markedly different population mutation rate θ. We reveal the existence of a complex, timescale dependent relationship between species adaptive substitution rate and genetic diversity. We find a positive relationship between ω a and θ among closely related species, indicating that adaptation is indeed limited by the mutation supply, but this was only true in relatively low-θ taxa. In contrast, we uncover no significant correlation between ω a and θ at a larger taxonomic scale, suggesting that the proportion of beneficial mutations scales negatively with species' long-term N e.

          Author summary

          The determinants of the rate at which species adapt to environmental changes are so far poorly understood. In particular, whether adaptation is limited by the mutation supply, which is linked to species population size, is still an open question despite its importance in conservation biology.

          Here, we used a comparative population genomic approach to assess the effect of the population mutation supply (approximated by the genetic diversity) on the adaptive substitution rate in animals.

          For this we build and analyze a large coding sequence polymorphism dataset covering 50 species from ten diverse groups of animals including insects, molluscs, annelids, birds, and mammals. Thanks to our stratified sampling strategy, which allowed us to compare closely-related and distantly-related species in a single analysis, we reveal that (i) the supply of beneficial mutations only limits adaptation in low-diversity taxa, such as primates, but not in high-diversity taxa, such as fruit flies, and (ii) low-diversity taxa do not accumulate adaptive substitutions at a slower rate that high diversity taxa, as usually assumed, which may be due to the influence of long-term life history strategies on the proportion of adaptive mutations.

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          Most cited references53

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          Adaptive protein evolution in Drosophila.

          For over 30 years a central question in molecular evolution has been whether natural selection plays a substantial role in evolution at the DNA sequence level. Evidence has accumulated over the last decade that adaptive evolution does occur at the protein level, but it has remained unclear how prevalent adaptive evolution is. Here we present a simple method by which the number of adaptive substitutions can be estimated and apply it to data from Drosophila simulans and D. yakuba. We estimate that 45% of all amino-acid substitutions have been fixed by natural selection, and that on average one adaptive substitution occurs every 45 years in these species.
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            Comparative population genomics in animals uncovers the determinants of genetic diversity.

            Genetic diversity is the amount of variation observed between DNA sequences from distinct individuals of a given species. This pivotal concept of population genetics has implications for species health, domestication, management and conservation. Levels of genetic diversity seem to vary greatly in natural populations and species, but the determinants of this variation, and particularly the relative influences of species biology and ecology versus population history, are still largely mysterious. Here we show that the diversity of a species is predictable, and is determined in the first place by its ecological strategy. We investigated the genome-wide diversity of 76 non-model animal species by sequencing the transcriptome of two to ten individuals in each species. The distribution of genetic diversity between species revealed no detectable influence of geographic range or invasive status but was accurately predicted by key species traits related to parental investment: long-lived or low-fecundity species with brooding ability were genetically less diverse than short-lived or highly fecund ones. Our analysis demonstrates the influence of long-term life-history strategies on species response to short-term environmental perturbations, a result with immediate implications for conservation policies.
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              Estimating the rate of adaptive molecular evolution in the presence of slightly deleterious mutations and population size change.

              The prevalence of adaptive evolution relative to genetic drift is a central problem in molecular evolution. Methods to estimate the fraction of adaptive nucleotide substitutions (alpha) have been developed, based on the McDonald-Kreitman test, that contrast polymorphism and divergence between selectively and neutrally evolving sites. However, these methods are expected to give downwardly biased estimates of alpha if there are slightly deleterious mutations, because these inflate polymorphism relative to divergence. Here, we estimate alpha by simultaneously estimating the distribution of fitness effects of new mutations at selected sites from the site frequency spectrum and the number of adaptive substitutions. We test the method using simulations. If data meet the assumptions of the analysis model, estimates of alpha show little bias, even when there is little or no recombination. However, population size differences between the divergence and polymorphism phases may cause alpha to be over or underestimated by a predictable factor that depends on the magnitude of the population size change and the shape of the distribution of effects of deleterious mutations. We analyze several data sets of protein-coding genes and noncoding regions from hominids and Drosophila. In Drosophila genes, we estimate that approximately 50% of amino acid substitutions and approximately 20% of substitutions in introns are adaptive. In protein-coding and noncoding data sets of humans, comparison to macaque sequences reveals little evidence for adaptive substitutions. However, the true frequency of adaptive substitutions in human-coding DNA could be as high as 40%, because estimates based on current polymorphism may be strongly downwardly biased by a decrease in the effective population size along the human lineage.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: SoftwareRole: ValidationRole: Writing – review & editing
                Role: Data curation
                Role: Data curation
                Role: ConceptualizationRole: MethodologyRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                6 April 2020
                April 2020
                : 16
                : 4
                : e1008668
                Affiliations
                [1 ] ISEM, Univ. Montpellier, CNRS, EPHE, IRD, Montpellier, France
                [2 ] LEGE, Department of Biology, University of Namur, Namur, Belgium
                University of Michigan, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-3930-0732
                http://orcid.org/0000-0002-6667-3297
                http://orcid.org/0000-0003-0447-1451
                http://orcid.org/0000-0002-0479-4878
                Article
                PGENETICS-D-19-02068
                10.1371/journal.pgen.1008668
                7162527
                32251427
                de949611-63fe-4d31-8544-79afa84212e4
                © 2020 Rousselle et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 December 2019
                : 14 February 2020
                Page count
                Figures: 3, Tables: 1, Pages: 24
                Funding
                Funded by: Agence Nationale de la recherche
                Award ID: ANR-15-CE12-0010
                Award Recipient :
                This work was supported by Agence Nationale de la recherche grant no. ANR-15-CE12-0010 ‘DarkSideOfRecombination’ obtained by NG ( https://anr.fr/Project-ANR-15-CE12-0010). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Mutation
                Substitution Mutation
                Biology and Life Sciences
                Taxonomy
                Computer and Information Sciences
                Data Management
                Taxonomy
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Biology and Life Sciences
                Genetics
                Population Genetics
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Processes
                Evolutionary Adaptation
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Amniotes
                Mammals
                Primates
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Molluscs
                Bivalves
                Mussels
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Arthropoda
                Insects
                Moths and Butterflies
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Arthropoda
                Insects
                Hymenoptera
                Ants
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-04-16
                Data are contained within the manuscript and/or Supporting Information files, and sequence data are deposited under the Bioproject PRJNA530965 in the SRA database.

                Genetics
                Genetics

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