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Analysis and Management of Gene and Allelic Diversity in Subdivided Populations Using the Software Program METAPOP

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Data Production and Analysis in Population Genomics

Abstract

METAPOP (http://webs.uvigo.es/anpefi/metapop/) is a desktop application that provides an analysis of gene and allelic diversity in subdivided populations from molecular genotype or coancestry data as well as a tool for the management of genetic diversity in conservation programs. A partition of gene and allelic diversity is made within and between subpopulations, in order to assess the contribution of each subpopulation to global diversity for descriptive population genetics or conservation purposes. In the context of management of subdivided populations in in situ conservation programs, the software also determines the optimal contributions (i.e., number of offspring) of each individual, the number of migrants, and the particular subpopulations involved in the exchange of individuals in order to maintain the largest level of gene diversity in the whole population with a desired control in the rate of inbreeding. The partition of gene and allelic diversity within and between subpopulations is illustrated with microsatellite and SNP data from human populations.

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Acknowledgments

We thank Miguel Toro and Jesús Fernández for helpful discussions. This work was funded by the Ministerio de Ciencia e Innovación and Fondos Feder (CGL2009-13278-C02), and a grant for Consolidación e estruturación de unidades de investigación competitivas do sistema universitario de Galicia, Consellería de Educación e Ordenación Universitaria, Xunta de Galicia.

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Correspondence to Armando Caballero .

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© 2012 Springer Science+Business Media New York

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Pérez-Figueroa, A., Rodríguez-Ramilo, S.T., Caballero, A. (2012). Analysis and Management of Gene and Allelic Diversity in Subdivided Populations Using the Software Program METAPOP. In: Pompanon, F., Bonin, A. (eds) Data Production and Analysis in Population Genomics. Methods in Molecular Biology, vol 888. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-61779-870-2_15

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  • DOI: https://doi.org/10.1007/978-1-61779-870-2_15

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  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-61779-869-6

  • Online ISBN: 978-1-61779-870-2

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