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      Replicated Landscape Genomics Identifies Evidence of Local Adaptation to Urbanization in Wood Frogs

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          Abstract

          Native species that persist in urban environments may benefit from local adaptation to novel selection factors. We used double-digest restriction-side associated DNA (RAD) sequencing to evaluate shifts in genome-wide genetic diversity and investigate the presence of parallel evolution associated with urban-specific selection factors in wood frogs ( Lithobates sylvaticus). Our replicated paired study design involved 12 individuals from each of 4 rural and urban populations to improve our confidence that detected signals of selection are indeed associated with urbanization. Genetic diversity measures were less for urban populations; however, the effect size was small, suggesting little biological consequence. Using an F ST outlier approach, we identified 37 of 8344 genotyped single nucleotide polymorphisms with consistent evidence of directional selection across replicates. A genome-wide association study analysis detected modest support for an association between environment type and 12 of the 37 F ST outlier loci. Discriminant analysis of principal components using the 37 F ST outlier loci produced correct reassignment for 87.5% of rural samples and 93.8% of urban samples. Eighteen of the 37 F ST outlier loci mapped to the American bullfrog ( Rana [Lithobates] catesbeiana) genome, although none were in coding regions. This evidence of parallel evolution to urban environments provides a powerful example of the ability of urban landscapes to direct evolutionary processes.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Urbanization, Biodiversity, and Conservation

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              COLONY: a program for parentage and sibship inference from multilocus genotype data.

              Pedigrees, depicting genealogical relationships between individuals, are important in several research areas. Molecular markers allow inference of pedigrees in wild species where relationship information is impossible to collect by observation. Marker data are analysed statistically using methods based on Mendelian inheritance rules. There are numerous computer programs available to conduct pedigree analysis, but most software is inflexible, both in terms of assumptions and data requirements. Most methods only accommodate monogamous diploid species using codominant markers without genotyping error. In addition, most commonly used methods use pairwise comparisons rather than a full-pedigree likelihood approach, which considers the likelihood of the entire pedigree structure and allows the simultaneous inference of parentage and sibship. Here, we describe colony, a computer program implementing full-pedigree likelihood methods to simultaneously infer sibship and parentage among individuals using multilocus genotype data. colony can be used for both diploid and haplodiploid species; it can use dominant and codominant markers, and can accommodate, and estimate, genotyping error at each locus. In addition, colony can carry out these inferences for both monoecious and dioecious species. The program is available as a Microsoft Windows version, which includes a graphical user interface, and a Macintosh version, which uses an R-based interface. © 2009 Blackwell Publishing Ltd.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                J Hered
                J. Hered
                jhered
                Journal of Heredity
                Oxford University Press (US )
                0022-1503
                1465-7333
                October 2019
                06 July 2019
                06 July 2019
                : 110
                : 6
                : 707-719
                Affiliations
                [1 ] School of Biology and Ecology, University of Maine , Orono, ME
                [2 ] the US Geological Survey, Maine Cooperative Fish and Wildlife Research Unit , Orono, ME
                [3 ] the School of Marine Sciences, University of Maine , Orono, ME
                [4 ] the Department of Biochemistry and Microbiology, University of Victoria , Victoria, BC, Canada
                [5 ] the Canada’s Michael Smith Genome Sciences Centre, British Columbia Cancer Agency , Vancouver, BC, Canada
                [6 ] the Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University , Beaufort, NC
                [7 ] Department of Fisheries and Wildlife, Michigan State University , East Lansing, MI
                Author notes
                Address correspondence to J. J. Homola at the address above, or e-mail: jared.homola@ 123456maine.edu .
                Author information
                http://orcid.org/0000-0003-3821-7224
                http://orcid.org/0000-0003-0950-7839
                Article
                esz041
                10.1093/jhered/esz041
                6785938
                31278891
                fba7baef-3945-4211-9faa-6848e4056318
                © The American Genetic Association 2019.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 12 December 2018
                : 28 June 2019
                : 05 February 2019
                : 01 August 2019
                Page count
                Pages: 13
                Funding
                Funded by: National Science Foundation 10.13039/100000001
                Award ID: BCS-1313627
                Funded by: USDA National Institute of Food and Agriculture, Hatch
                Funded by: Maine Department of Inland Fisheries and Wildlife
                Funded by: US Geological Survey Maine Cooperative Fish and Wildlife Research Unit
                Funded by: US National Science Foundation Adaptation to Abrupt Climate Change IGERT
                Award ID: DGE-1144423
                Funded by: University of Maine’s Janet Waldron Doctoral Research Fellowship
                Categories
                Original Articles

                Genetics
                amphibian,anthropogenic evolution,rad-seq,rapid evolution,urban ecology,vernal pool,molecular adaptation and selection

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