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Genetic Estimates of Population Age in the Water Flea, Daphnia magna

Robinson, John D. ; Haag, Christoph R. ; Hall, David W. ; Pajunen, V. Ilmari ; Wares, John P.

In: Journal Of Heredity, 2012, vol. 103, no. 6, p. 887-897

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    Titre
    • Genetic Estimates of Population Age in the Water Flea, Daphnia magna
    Auteur
    • Robinson, John D.. Department of Genetics, University of Georgia,, Athens, GA, USA 30602, CH-1700 Fribourg, Switzerland (Haag), FI-00014 Helsinki, Finland
    • Haag, Christoph R.. Department of Genetics, University of Georgia,, Athens, GA, USA 30602, CH-1700 Fribourg, Switzerland (Haag), FI-00014 Helsinki, Finland
    • Hall, David W.. Department of Genetics, University of Georgia,, Athens, GA, USA 30602, CH-1700 Fribourg, Switzerland (Haag), FI-00014 Helsinki, Finland
    • Pajunen, V. Ilmari. Department of Genetics, University of Georgia,, Athens, GA, USA 30602, CH-1700 Fribourg, Switzerland (Haag), FI-00014 Helsinki, Finland
    • Wares, John P.. Department of Genetics, University of Georgia,, Athens, GA, USA 30602, CH-1700 Fribourg, Switzerland (Haag), FI-00014 Helsinki, Finland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • Journal Of Heredity, 2012, vol. 103, no. 6, p. 887-897. Oxford University Press
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:303906
    Summary
    Genetic datasets can be used to date evolutionary events, even on recent time scales if sufficient data are available. We used statistics calculated from multilocus microsatellite datasets to estimate population ages in data generated through coalescent simulations and in samples from populations of known age in a metapopulation of Daphnia magna in Finland. Our simulation results show that age estimates improve with additional loci and define a time frame over which these statistics are most useful. On the most recent time scales, assumptions regarding the model of mutation (infinite sites vs. stepwise mutation) have little influence on estimated ages. In older populations, size homoplasy among microsatellite alleles results in a downwards bias for estimates based on the infinite sites model (ISM). In the Finnish D. magna metapopulation, our genetically derived estimated ages were biased upwards. Potential sources of this bias include the underlying model of mutation, gene flow, founder size, and the possibility of persistent source populations in the system. Our simulated data show that genetic age estimation is possible, even for very young populations, but our empirical data highlight the importance of factors such as migration when these statistics are applied in natural populations