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      Genetic diagnosis of a rare myrmecochorous species, Plagiorhegma dubium (Berberidaceae): Historical genetic bottlenecks and strong spatial structures among populations

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          Abstract

          Distribution of genetic variation over time and space is relevant to demographic histories and tightly linked to ecological disturbances as well as evolutionary potential of an organism. Therefore, understanding the pattern of genetic diversity is a primary step in conservation and management projects for rare and threatened plant species. We used eight microsatellite markers to examine the level of genetic diversity, spatial structure, and demographic history of Plagiorhegma dubium, a rare myrmecochorous herb, populations sampled across northeast Asia and Siberia. We found low within‐population genetic variation associated with historical bottlenecks. Although pairwise F ST values were not much higher than the ones found in similar life form species, STRUCTURE and PCoA revealed a clear broadscale spatial pattern of genetic structure. Bayesian clustering (best K = 6) and PCoA identified three populations that are distinctive from neighboring populations in the Korean peninsula, which suggests potential units for conservation and management plans in Korea. MIGRATE‐N and BAYESASS showed that both contemporary (0.003–0.045) and historical migration rates (2 × e −5−4.6 × e −4) were low. Our findings provide a good example, where genetic considerations should be integrated for conservation and management plans of rare and threatened species.

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          Most cited references38

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          Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach.

          A maximum likelihood estimator based on the coalescent for unequal migration rates and different subpopulation sizes is developed. The method uses a Markov chain Monte Carlo approach to investigate possible genealogies with branch lengths and with migration events. Properties of the new method are shown by using simulated data from a four-population n-island model and a source-sink population model. Our estimation method as coded in migrate is tested against genetree; both programs deliver a very similar likelihood surface. The algorithm converges to the estimates fairly quickly, even when the Markov chain is started from unfavorable parameters. The method was used to estimate gene flow in the Nile valley by using mtDNA data from three human populations.
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            Ecological consequences of genetic diversity.

            Understanding the ecological consequences of biodiversity is a fundamental challenge. Research on a key component of biodiversity, genetic diversity, has traditionally focused on its importance in evolutionary processes, but classical studies in evolutionary biology, agronomy and conservation biology indicate that genetic diversity might also have important ecological effects. Our review of the literature reveals significant effects of genetic diversity on ecological processes such as primary productivity, population recovery from disturbance, interspecific competition, community structure, and fluxes of energy and nutrients. Thus, genetic diversity can have important ecological consequences at the population, community and ecosystem levels, and in some cases the effects are comparable in magnitude to the effects of species diversity. However, it is not clear how widely these results apply in nature, as studies to date have been biased towards manipulations of plant clonal diversity, and little is known about the relative importance of genetic diversity vs. other factors that influence ecological processes of interest. Future studies should focus not only on documenting the presence of genetic diversity effects but also on identifying underlying mechanisms and predicting when such effects are likely to occur in nature.
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              Detection of reduction in population size using data from microsatellite loci.

              We demonstrate that the mean ratio of the number of alleles to the range in allele size, which we term M, calculated from a population sample of microsatellite loci, can be used to detect reductions in population size. Using simulations, we show that, for a general class of mutation models, the value of M decreases when a population is reduced in size. The magnitude of the decrease is positively correlated with the severity and duration of the reduction in size. We also find that the rate of recovery of M following a reduction in size is positively correlated with post-reduction population size, but that recovery occurs in both small and large populations. This indicates that M can distinguish between populations that have been recently reduced in size and those which have been small for a long time. We employ M to develop a statistical test for recent reductions in population size that can detect such changes for more than 100 generations with the post-reduction demographic scenarios we examine. We also compute M for a variety of populations and species using microsatellite data collected from the literature. We find that the value of M consistently predicts the reported demographic history for these populations. This method, and others like it, promises to be an important tool for the conservation and management of populations that are in need of intervention or recovery.
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                Author and article information

                Contributors
                ydkim@hallym.ac.kr
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                07 August 2018
                September 2018
                : 8
                : 17 ( doiID: 10.1002/ece3.2018.8.issue-17 )
                : 8791-8802
                Affiliations
                [ 1 ] Multidisciplinary Genome Institute Hallym University Chuncheon‐si Korea
                [ 2 ] Department of Life Sciences Hallym University Chuncheon‐si Korea
                Author notes
                [*] [* ] Correspondence

                Young‐Dong Kim, Department of Life Sciences, College of Natural Sciences, Hallym University, Chuncheon‐si, Gangwon‐do.

                Email: ydkim@ 123456hallym.ac.kr

                Author information
                http://orcid.org/0000-0003-0277-4926
                http://orcid.org/0000-0001-5904-4727
                Article
                ECE34362
                10.1002/ece3.4362
                6157670
                45f6a9b0-6ee0-480c-a919-4bd3c802cc3e
                © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 January 2018
                : 15 June 2018
                : 20 June 2018
                Page count
                Figures: 4, Tables: 4, Pages: 12, Words: 9870
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece34362
                September 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.4.9 mode:remove_FC converted:26.09.2018

                Evolutionary Biology
                conservation,endangered species,genetic variation,microsatellite,migration rate,plagiorhegma dubium,spatial structure

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