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      Genomics of Rapid Incipient Speciation in Sympatric Threespine Stickleback

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          Abstract

          Ecological speciation is the process by which reproductively isolated populations emerge as a consequence of divergent natural or ecologically-mediated sexual selection. Most genomic studies of ecological speciation have investigated allopatric populations, making it difficult to infer reproductive isolation. The few studies on sympatric ecotypes have focused on advanced stages of the speciation process after thousands of generations of divergence. As a consequence, we still do not know what genomic signatures of the early onset of ecological speciation look like. Here, we examined genomic differentiation among migratory lake and resident stream ecotypes of threespine stickleback reproducing in sympatry in one stream, and in parapatry in another stream. Importantly, these ecotypes started diverging less than 150 years ago. We obtained 34,756 SNPs with restriction-site associated DNA sequencing and identified genomic islands of differentiation using a Hidden Markov Model approach. Consistent with incipient ecological speciation, we found significant genomic differentiation between ecotypes both in sympatry and parapatry. Of 19 islands of differentiation resisting gene flow in sympatry, all were also differentiated in parapatry and were thus likely driven by divergent selection among habitats. These islands clustered in quantitative trait loci controlling divergent traits among the ecotypes, many of them concentrated in one region with low to intermediate recombination. Our findings suggest that adaptive genomic differentiation at many genetic loci can arise and persist in sympatry at the very early stage of ecotype divergence, and that the genomic architecture of adaptation may facilitate this.

          Author Summary

          Ecological speciation can be defined as the evolution of new, reproductively isolated, species driven by natural selection and ecologically-mediated sexual selection. Its genomic signature has mainly been studied in ecotypes and emerging species that started diverging hundreds to thousands of generations ago, while little is known about the very early stages of species divergence. To fill this knowledge gap, we studied whether and how threespine stickleback, which have adapted either to lake or to stream environments in less than 150 years, differ across their genomes. We found several segments of the genome to be clearly divergent between lake and stream ecotypes, even when both forms breed side by side in the same area. Strikingly, this genomic differentiation was mainly concentrated in one region with low to intermediate recombination rates and clustered around genes controlling ecotype-specific phenotypic traits. Our findings suggest that genomic differentiation can arise despite gene flow already very early at the onset of speciation, and that its occurrence may be facilitated by the genomic organization of genes that control traits involved in adaptation and reproductive isolation.

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            The genomic basis of adaptive evolution in threespine sticklebacks

            Summary Marine stickleback fish have colonized and adapted to innumerable streams and lakes formed since the last ice age, providing an exceptional opportunity to characterize genomic mechanisms underlying repeated ecological adaptation in nature. Here we develop a high quality reference genome assembly for threespine sticklebacks. By sequencing the genomes of 20 additional individuals from a global set of marine and freshwater populations, we identify a genome-wide set of loci that are consistently associated with marine-freshwater divergence. Our results suggest that reuse of globally-shared standing genetic variation, including chromosomal inversions, plays an important role in repeated evolution of distinct marine and freshwater sticklebacks, and in the maintenance of divergent ecotypes during early stages of reproductive isolation. Both coding and regulatory changes occur in the set of loci underlying marine-freshwater evolution, with regulatory changes likely predominating in this classic example of repeated adaptive evolution in nature.
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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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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                29 February 2016
                February 2016
                : 12
                : 2
                : e1005887
                Affiliations
                [1 ]Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
                [2 ]Department of Fish Ecology and Evolution, Centre of Ecology, Evolution & Biogeochemistry, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland
                [3 ]Computational and Molecular Population Genetics Lab, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
                [4 ]Swiss Institute of Bioinformatics, Lausanne, Switzerland
                [5 ]Biodiversity Institute, University of Wyoming, Wyoming, United States of America
                [6 ]Department of Animal and Plant Science, University of Sheffield, Sheffield, United Kingdom
                University of California Davis, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: OS DAM KL LE. Performed the experiments: DAM KL SM JIM OS. Analyzed the data: DAM. Contributed reagents/materials/analysis tools: OS LE KL JIM. Wrote the paper: DAM OS LE CEW KL JIM.

                ‡ These authors are joint senior authors on this work.

                Article
                PGENETICS-D-15-01459
                10.1371/journal.pgen.1005887
                4771382
                26925837
                e57b2b19-d017-44a2-9fba-ef7612d615a6
                © 2016 Marques 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
                : 14 June 2015
                : 29 January 2016
                Page count
                Figures: 7, Tables: 1, Pages: 34
                Funding
                This research was supported by the Swiss National Science Foundation ( www.snf.ch) grant PDFMP3_134657 to OS and LE. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Marine and Aquatic Sciences
                Bodies of Water
                Lakes
                Ecology and Environmental Sciences
                Aquatic Environments
                Freshwater Environments
                Lakes
                Earth Sciences
                Marine and Aquatic Sciences
                Aquatic Environments
                Freshwater Environments
                Lakes
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Fishes
                Osteichthyes
                Sticklebacks
                Biology and Life Sciences
                Genetics
                Heredity
                Gene Flow
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Gene Flow
                Biology and Life Sciences
                Genetics
                Population Genetics
                Gene Flow
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Gene Flow
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomes
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Processes
                Speciation
                Ecology and Environmental Sciences
                Habitats
                Biology and Life Sciences
                Genetics
                Genomics
                Biology and life sciences
                Genetics
                DNA
                DNA recombination
                Biology and life sciences
                Biochemistry
                Nucleic acids
                DNA
                DNA recombination
                Custom metadata
                Raw data is accessible via the Sequence Read Archive ( www.ncbi.nlm.nih.gov/sra) under the study accession SRP069137.

                Genetics
                Genetics

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