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      Population Genetic Diversity of Quercus ilex subsp. ballota (Desf.) Samp. Reveals Divergence in Recent and Evolutionary Migration Rates in the Spanish Dehesas

      , , , , ,
      Forests
      MDPI AG

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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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            microsatellite analyser(MSA): a platform independent analysis tool for large microsatellite data sets

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              On Steiner trees and minimum spanning trees in hypergraphs

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                Author and article information

                Journal
                Forests
                Forests
                MDPI AG
                1999-4907
                June 2018
                June 07 2018
                : 9
                : 6
                : 337
                Article
                10.3390/f9060337
                69dbdf39-8122-472e-be83-0272a57ba6f9
                © 2018

                https://creativecommons.org/licenses/by/4.0/

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