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      Homogenous Population Genetic Structure of the Non-Native Raccoon Dog ( Nyctereutes procyonoides) in Europe as a Result of Rapid Population Expansion

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          Abstract

          The extent of gene flow during the range expansion of non-native species influences the amount of genetic diversity retained in expanding populations. Here, we analyse the population genetic structure of the raccoon dog ( Nyctereutes procyonoides) in north-eastern and central Europe. This invasive species is of management concern because it is highly susceptible to fox rabies and an important secondary host of the virus. We hypothesized that the large number of introduced animals and the species’ dispersal capabilities led to high population connectivity and maintenance of genetic diversity throughout the invaded range. We genotyped 332 tissue samples from seven European countries using 16 microsatellite loci. Different algorithms identified three genetic clusters corresponding to Finland, Denmark and a large ‘central’ population that reached from introduction areas in western Russia to northern Germany. Cluster assignments provided evidence of long-distance dispersal. The results of an Approximate Bayesian Computation analysis supported a scenario of equal effective population sizes among different pre-defined populations in the large central cluster. Our results are in line with strong gene flow and secondary admixture between neighbouring demes leading to reduced genetic structuring, probably a result of its fairly rapid population expansion after introduction. The results presented here are remarkable in the sense that we identified a homogenous genetic cluster inhabiting an area stretching over more than 1500km. They are also relevant for disease management, as in the event of a significant rabies outbreak, there is a great risk of a rapid virus spread among raccoon dog populations.

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          Estimation of average heterozygosity and genetic distance from a small number of individuals.

          M Nei (1978)
          The magnitudes of the systematic biases involved in sample heterozygosity and sample genetic distances are evaluated, and formulae for obtaining unbiased estimates of average heterozygosity and genetic distance are developed. It is also shown that the number of individuals to be used for estimating average heterozygosity can be very small if a large number of loci are studied and the average heterozygosity is low. The number of individuals to be used for estimating genetic distance can also be very small if the genetic distance is large and the average heterozygosity of the two species compared is low.
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            Genetic variation increases during biological invasion by a Cuban lizard.

            A genetic paradox exists in invasion biology: how do introduced populations, whose genetic variation has probably been depleted by population bottlenecks, persist and adapt to new conditions? Lessons from conservation genetics show that reduced genetic variation due to genetic drift and founder effects limits the ability of a population to adapt, and small population size increases the risk of extinction. Nonetheless, many introduced species experiencing these same conditions during initial introductions persist, expand their ranges, evolve rapidly and become invasive. To address this issue, we studied the brown anole, a worldwide invasive lizard. Genetic analyses indicate that at least eight introductions have occurred in Florida from across this lizard's native range, blending genetic variation from different geographic source populations and producing populations that contain substantially more, not less, genetic variation than native populations. Moreover, recently introduced brown anole populations around the world originate from Florida, and some have maintained these elevated levels of genetic variation. Here we show that one key to invasion success may be the occurrence of multiple introductions that transform among-population variation in native ranges to within-population variation in introduced areas. Furthermore, these genetically variable populations may be particularly potent sources for introductions elsewhere. The growing problem of invasive species introductions brings considerable economic and biological costs. If these costs are to be mitigated, a greater understanding of the causes, progression and consequences of biological invasions is needed.
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              Linkage disequilibrium estimates of contemporary Ne using highly variable genetic markers: a largely untapped resource for applied conservation and evolution

              Genetic methods are routinely used to estimate contemporary effective population size (N e) in natural populations, but the vast majority of applications have used only the temporal (two-sample) method. We use simulated data to evaluate how highly polymorphic molecular markers affect precision and bias in the single-sample method based on linkage disequilibrium (LD). Results of this study are as follows: (1) Low-frequency alleles upwardly bias , but a simple rule can reduce bias to
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 April 2016
                2016
                : 11
                : 4
                : e0153098
                Affiliations
                [1 ]Musée National d'Histoire Naturelle, Luxembourg
                [2 ]Velikie Luki State Agricultural Academy, Velikie Luki, Russia
                [3 ]Senckenberg Museum für Naturkunde Görlitz, Görlitz, Germany
                [4 ]Leibniz-Institute for Zoo and Wildlife Research (IZW), Berlin, Germany
                [5 ]Potsdam University, Institute for Biochemistry and Biology, Potsdam, Germany
                [6 ]Finnish Food Safety Authority, Production animal and wildlife research unit, Oulu, Finland
                [7 ]Department of Bioscience, Aarhus University, Rønde, Denmark
                [8 ]Mammal Research Institute, Polish Academy of Sciences, Białowieża, Poland
                [9 ]Nature Research Centre, Institute of Ecology, Vilnius, Lithuania
                [10 ]University of Tartu, Department of Zoology, Tartu, Estonia
                [11 ]Landeslabor Berlin-Brandenburg, Frankfurt (Oder), Germany
                [12 ]Faunistisch-Ökologischen Arbeitsgemeinschaft S-H, Kiel University, Kiel, Germany
                BiK-F Biodiversity and Climate Research Center, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: FD ACF. Performed the experiments: FD ACF. Analyzed the data: FD ACF. Contributed reagents/materials/analysis tools: NK HA JF MI ME RK L. Baltrunaite L. Balciauskas US CS PB. Wrote the paper: FD ACF.

                Article
                PONE-D-16-00950
                10.1371/journal.pone.0153098
                4827816
                27064784
                41b5b4dd-3ab0-4d6a-a0b2-2e7de43956c0
                © 2016 Drygala 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
                : 8 January 2016
                : 23 March 2016
                Page count
                Figures: 5, Tables: 1, Pages: 17
                Funding
                The authors have no support or funding to report.
                Categories
                Research Article
                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
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Raccoons
                Biology and Life Sciences
                Organisms
                Animals
                Vertebrates
                Amniotes
                Mammals
                Dogs
                People and Places
                Geographical Locations
                Europe
                Denmark
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Effective Population Size
                Biology and Life Sciences
                Genetics
                Population Genetics
                Effective Population Size
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Effective Population Size
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Effective Population Size
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Population Size
                Effective Population Size
                People and Places
                Geographical Locations
                Europe
                Finland
                Biology and Life Sciences
                Biogeography
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                Ecology and Environmental Sciences
                Biogeography
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                Earth Sciences
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                Biogeography
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                Evolutionary Biology
                Population Genetics
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                Genetics
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                Phylogeography
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Phylogeography
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                Custom metadata
                The raw genotypes and information on sampling localities are available from the Dryad database http://dx.doi.org/10.5061/dryad.mk301.

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