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      Human-facilitated metapopulation dynamics in an emerging pest species, Cimex lectularius

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          Abstract

          The number and demographic history of colonists can have dramatic consequences for the way in which genetic diversity is distributed and maintained in a metapopulation. The bed bug ( Cimex lectularius) is a re-emerging pest species whose close association with humans has led to frequent local extinction and colonization, that is, to metapopulation dynamics. Pest control limits the lifespan of subpopulations, causing frequent local extinctions, and human-facilitated dispersal allows the colonization of empty patches. Founder events often result in drastic reductions in diversity and an increased influence of genetic drift. Coupled with restricted migration, this can lead to rapid population differentiation. We therefore predicted strong population structuring. Here, using 21 newly characterized microsatellite markers and approximate Bayesian computation (ABC), we investigate simplified versions of two classical models of metapopulation dynamics, in a coalescent framework, to estimate the number and genetic composition of founders in the common bed bug. We found very limited diversity within infestations but high degrees of structuring across the city of London, with extreme levels of genetic differentiation between infestations ( F ST = 0.59). ABC results suggest a common origin of all founders of a given subpopulation and that the numbers of colonists were low, implying that even a single mated female is enough to found a new infestation successfully. These patterns of colonization are close to the predictions of the propagule pool model, where all founders originate from the same parental infestation. These results show that aspects of metapopulation dynamics can be captured in simple models and provide insights that are valuable for the future targeted control of bed bug infestations.

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          Most cited references85

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

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          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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            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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              Detecting immigration by using multilocus genotypes.

              Immigration is an important force shaping the social structure, evolution, and genetics of populations. A statistical method is presented that uses multilocus genotypes to identify individuals who are immigrants, or have recent immigrant ancestry. The method is appropriate for use with allozymes, microsatellites, or restriction fragment length polymorphisms (RFLPs) and assumes linkage equilibrium among loci. Potential applications include studies of dispersal among natural populations of animals and plants, human evolutionary studies, and typing zoo animals of unknown origin (for use in captive breeding programs). The method is illustrated by analyzing RFLP genotypes in samples of humans from Australian, Japanese, New Guinean, and Senegalese populations. The test has power to detect immigrant ancestors, for these data, up to two generations in the past even though the overall differentiation of allele frequencies among populations is low.
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                Author and article information

                Journal
                Mol Ecol
                Mol. Ecol
                mec
                Molecular Ecology
                John Wiley & Sons Ltd.
                0962-1083
                1365-294X
                March 2014
                17 February 2014
                : 23
                : 5
                : 1071-1084
                Affiliations
                [* ]Department of Animal and Plant Sciences, University of Sheffield Western Bank, Sheffield, S10 2TN, UK
                []Department of Biosciences, University of Helsinki PO Box 65 (Viikinkaari 1), FI-00014, Helsinki, Finland
                []Institute for Evolution and Ecology, University of Tübingen Auf der Morgenstelle 28, D-72076, Tübingen, Germany
                Author notes
                Correspondence: Toby Fountain, Fax: +358 9 191 57694; E-mail: toby.fountain@ 123456helsinki.fi

                T.F., K.R. and R.K.B. designed the study. T.F. and G.H. performed the experiments. T.F. and L.D. performed the analysis. T.F., L.D., K.R. and R.K.B. wrote the article.

                Article
                10.1111/mec.12673
                4016754
                24446663
                aa2ca949-1c51-437a-9c24-e491f8b2bb3c
                © 2014 The Authors Molecular Ecology Published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 09 January 2013
                : 06 January 2014
                : 13 January 2014
                Categories
                Research Articles

                Ecology
                approximate bayesian computation analysis,cimex lectularius,genetic structure,metapopulation dynamics,microsatellites,pest management

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