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Genetic estimates of population age in the water flea, Daphnia magna

  • Robinson, John D. Department of Genetics, University of Georgia, Athens, USA
  • Haag, Christoph R. Department of Biology, University of Fribourg, Switzerland
  • Hall, David W. Department of Genetics, University of Georgia, Athens, USA
  • Pajunen, V. Ilmari Department of Biological and Environmental Sciences, University of Helsinki, Finland
  • Wares, John P. Department of Genetics, University of Georgia, Athens, USA
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    04.11.2012
Published in:
  • Journal of Heredity. - 2012, vol. 103, no. 6, p. 887-897
Colonization
Distribution
Metapopulation
Microsatellites
Mismatch
Population expansion
English 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.
Faculty
Faculté des sciences et de médecine
Department
Département de Biologie
Language
  • English
Classification
Biological sciences
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/302869
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