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      The role of gene flow in rapid and repeated evolution of cave-related traits in Mexican tetra, Astyanax mexicanus

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          Abstract

          <p class="first" id="P1">Understanding the molecular basis of repeatedly evolved phenotypes can yield key insights into the evolutionary process. Quantifying gene flow between populations is especially important in interpreting mechanisms of repeated phenotypic evolution, and genomic analyses have revealed that admixture occurs more frequently between diverging lineages than previously thought. In this study, we resequenced 47 whole genomes of the Mexican tetra from three cave populations, two surface populations, and outgroup samples. We confirmed that cave populations are polyphyletic and two <i>Astyanax mexicanus</i> lineages are present in our dataset. The two lineages likely diverged much more recently than previous mitochondrial estimates of 5–7mya. Divergence of cave populations from their phylogenetically closest surface population likely occurred between ~161k - 191k generations ago. The favored demographic model for most population pairs accounts for divergence with secondary contact and heterogeneous gene flow across the genome, and we rigorously identified gene flow among all lineages sampled. Therefore, the evolution of cave-related traits occurred more rapidly than previously thought, and trogolomorphic traits are maintained despite gene flow with surface populations. The recency of these estimated divergence events suggests that selection may drive the evolution of cave-derived traits, as opposed to disuse and drift. Finally, we show that a key trogolomorphic phenotype QTL is enriched for genomic regions with low divergence between caves, suggesting that regions important for cave phenotypes may be transferred between caves via gene flow. Our study shows that gene flow must be considered in studies of independent, repeated trait evolution. </p>

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          Widespread parallel evolution in sticklebacks by repeated fixation of Ectodysplasin alleles.

          Major phenotypic changes evolve in parallel in nature by molecular mechanisms that are largely unknown. Here, we use positional cloning methods to identify the major chromosome locus controlling armor plate patterning in wild threespine sticklebacks. Mapping, sequencing, and transgenic studies show that the Ectodysplasin (EDA) signaling pathway plays a key role in evolutionary change in natural populations and that parallel evolution of stickleback low-plated phenotypes at most freshwater locations around the world has occurred by repeated selection of Eda alleles derived from an ancestral low-plated haplotype that first appeared more than two million years ago. Members of this clade of low-plated alleles are present at low frequencies in marine fish, which suggests that standing genetic variation can provide a molecular basis for rapid, parallel evolution of dramatic phenotypic change in nature.
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            Convergence, adaptation, and constraint.

            Convergent evolution of similar phenotypic features in similar environmental contexts has long been taken as evidence of adaptation. Nonetheless, recent conceptual and empirical developments in many fields have led to a proliferation of ideas about the relationship between convergence and adaptation. Despite criticism from some systematically minded biologists, I reaffirm that convergence in taxa occupying similar selective environments often is the result of natural selection. However, convergent evolution of a trait in a particular environment can occur for reasons other than selection on that trait in that environment, and species can respond to similar selective pressures by evolving nonconvergent adaptations. For these reasons, studies of convergence should be coupled with other methods-such as direct measurements of selection or investigations of the functional correlates of trait evolution-to test hypotheses of adaptation. The independent acquisition of similar phenotypes by the same genetic or developmental pathway has been suggested as evidence of constraints on adaptation, a view widely repeated as genomic studies have documented phenotypic convergence resulting from change in the same genes, sometimes even by the same mutation. Contrary to some claims, convergence by changes in the same genes is not necessarily evidence of constraint, but rather suggests hypotheses that can test the relative roles of constraint and selection in directing phenotypic evolution. © 2011 The Author(s). Evolution© 2011 The Society for the Study of Evolution.
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              A genetic atlas of human admixture history.

              Modern genetic data combined with appropriate statistical methods have the potential to contribute substantially to our understanding of human history. We have developed an approach that exploits the genomic structure of admixed populations to date and characterize historical mixture events at fine scales. We used this to produce an atlas of worldwide human admixture history, constructed by using genetic data alone and encompassing over 100 events occurring over the past 4000 years. We identified events whose dates and participants suggest they describe genetic impacts of the Mongol empire, Arab slave trade, Bantu expansion, first millennium CE migrations in Eastern Europe, and European colonialism, as well as unrecorded events, revealing admixture to be an almost universal force shaping human populations.
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                Author and article information

                Journal
                Molecular Ecology
                Mol Ecol
                Wiley
                09621083
                October 16 2018
                Affiliations
                [1 ]Plant and Microbial Biology; Gortner Lab; University of Minnesota; Saint Paul Minnesota
                [2 ]Department of Molecular Biology; Rudjer Boskovic Institute; Zagreb Croatia
                [3 ]Ecology, Evolution, and Behavior; Gortner Lab; University of Minnesota; Saint Paul Minnesota
                [4 ]Department of Biology; University of Maryland; College Park Maryland
                [5 ]Department of Biological Sciences; Florida Atlantic University; Jupiter Florida
                [6 ]Minnesota Supercomputing Institute; University of Minnesota; Minneapolis Minnesota
                [7 ]Department of Biology; New York University; New York New York
                [8 ]School of Science; Marist College; Poughkeepsie New York
                [9 ]Department of Biology; Centre College; Danville Kentucky
                [10 ]Departamento de Zoología; Instituto de Biología; Universidad Nacional Autónoma de México; Coyoacán Mexico
                [11 ]Department of Biology; University of Hawai‘i at Mānoa; Honolulu Hawaii
                [12 ]Department of Biology; College of Wooster; Wooster Ohio
                [13 ]Unidad Académica de Sistemas Arrecifales; Instituto de Ciencias del Mar y Limnología; Universidad Nacional Autónoma de México; Puerto Morelos Mexico
                [14 ]Department of Biological Sciences; University of Cincinnati; Cincinnati Ohio
                [15 ]The Biodesign Institute; Arizona State University; Tempe Arizona
                [16 ]School of Life Sciences; Arizona State University; Tempe Arizona
                [17 ]Stowers Institute for Medical Research; Kansas City Missouri
                [18 ]Department of Molecular and Integrative Physiology; The University of Kansas Medical Center; Kansas City Kansas
                [19 ]McDonnell Genome Institute; Washington University; St Louis Missouri
                Article
                10.1111/mec.14877
                6261294
                30252986
                a071f629-85d5-4a88-a52f-3d47a736524e
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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