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      Genetic estimates of contemporary effective population size in an endangered butterfly indicate a possible role for genetic compensation

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          Abstract

          The effective population size ( N e ) is a critical evolutionary and conservation parameter that can indicate the adaptive potential of populations. Robust estimates of N e of endangered taxa have been previously hampered by estimators that are sensitive to sample size. We estimated N e on two remaining populations of the endangered Miami blue butterfly, a formerly widespread taxon in Florida. Our goal was to determine the consistency of various temporal and point estimators on inferring N e and to determine the utility of this information for understanding the role of genetic stochasticity. We found that recently developed ‘unbiased estimators’ generally performed better than some older methods in that the former had more realistic N e estimates and were more consistent with what is known about adult population size. Overall, N e / N ratios based on census point counts were high. We suggest that this pattern may reflect genetic compensation caused by reduced reproductive variance due to breeding population size not being limited by resources. Assuming N e and N are not heavily biased, it appears that the lack of gene flow between distant populations may be a greater genetic threat in the short term than the loss of heterozygosity due to inbreeding.

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          Noninvasive genetic sampling: look before you leap.

          Noninvasive sampling allows genetic studies of free-ranging animals without the need to capture or even observe them, and thus allows questions to be addressed that cannot be answered using conventional methods. Initially, this sampling strategy promised to exploit fully the existing DNA-based technology for studies in ethology, conservation biology and population genetics. However, recent work now indicates the need for a more cautious approach, which includes quantifying the genotyping error rate. Despite this, many of the difficulties of noninvasive sampling will probably be overcome with improved methodology.
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            A method for assessing changes in the abundance of butterflies

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              Genetic estimates of contemporary effective population size: what can they tell us about the importance of genetic stochasticity for wild population persistence?

              Genetic stochasticity due to small population size contributes to population extinction, especially when population fragmentation disrupts gene flow. Estimates of effective population size (Ne) can therefore be informative about population persistence, but there is a need for an assessment of their consistency and informative relevance. Here we review the body of empirical estimates of Ne for wild populations obtained with the temporal genetic method and published since Frankham's (1995) review. Theoretical considerations have identified important sources of bias for this analytical approach, and we use empirical data to investigate the extent of these biases. We find that particularly model selection and sampling require more attention in future studies. We report a median unbiased Ne estimate of 260 (among 83 studies) and find that this median estimate tends to be smaller for populations of conservation concern, which may therefore be more sensitive to genetic stochasticity. Furthermore, we report a median Ne/N ratio of 0.14, and find that this ratio may actually be higher for small populations, suggesting changes in biological interactions at low population abundances. We confirm the role of gene flow in countering genetic stochasticity by finding that Ne correlates strongest with neutral genetic metrics when populations can be considered isolated. This underlines the importance of gene flow for the estimation of Ne, and of population connectivity for conservation in general. Reductions in contemporary gene flow due to ongoing habitat fragmentation will likely increase the prevalence of genetic stochasticity, which should therefore remain a focal point in the conservation of biodiversity.
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                Author and article information

                Journal
                Evol Appl
                Evol Appl
                eva
                Evolutionary Applications
                Blackwell Publishing Ltd (Oxford, UK )
                1752-4571
                1752-4571
                January 2010
                10 August 2009
                : 3
                : 1
                : 28-39
                Affiliations
                [1 ]simpleDepartment of Wildlife Ecology and Conservation, University of Florida Gainesville, FL, USA
                [2 ]simpleMcGuire Center for Lepidoptera and Biodiversity, Florida Museum of Natural History Gainesville, FL, USA
                [3 ]simpleDepartment of Entomology and Nematology, University of Florida Gainesville, FL, USA
                Author notes
                Emily V. Saarinen, Department of Wildlife Ecology and Conservation, P.O. Box 110430, University of Florida, Gainesville, FL 32611-0430, USA. Tel.: (352) 846-3166; fax: (352) 392-6984; e-mail: eheff@ 123456ufl.edu
                Article
                10.1111/j.1752-4571.2009.00096.x
                3352457
                25567901
                dd650308-f847-4218-bb30-6270de626973
                © 2009 The Authors. Journal compilation © 2009 Blackwell Publishing Ltd
                History
                : 27 April 2009
                : 29 June 2009
                Categories
                Original Articles

                Evolutionary Biology
                cyclargus thomasi bethunebakeri,lepidoptera,conservation genetics,ne,microsatellites

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