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Related Experiment Videos

Nonparametric estimation of natural selection on a quantitative trait using mark-recapture data.

Olivier Gimenez1, Rita Covas, Charles R Brown

  • 1Institute of Mathematics, Statistics and Actuarial Sciences, University of Kent, Canterbury, England. olivier.gimenez@cefe.cnrs.fr

Evolution; International Journal of Organic Evolution
|April 28, 2006
PubMed
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This study introduces a new nonparametric method to assess natural selection on traits in wild populations using mark-recapture data. The flexible approach revealed asymmetric survival selection related to body mass in sociable weavers.

Area of Science:

  • Evolutionary ecology
  • Quantitative genetics
  • Wildlife population dynamics

Background:

  • Assessing natural selection on phenotypic traits in wild populations is crucial for evolutionary ecology.
  • Monitoring wild populations often involves imperfect individual detection, complicating selection analyses.
  • Existing methods may require pre-specifying parametric models for selection, limiting flexibility.

Purpose of the Study:

  • To develop a flexible, nonparametric method for evaluating natural selection on quantitative traits using mark-recapture data.
  • To overcome challenges posed by imperfect detection in wild populations.
  • To investigate survival selection in relation to body mass in a wild bird population.

Main Methods:

  • Utilized penalized splines for flexible modeling of natural selection.

Related Experiment Videos

  • Employed Markov chain Monte Carlo (MCMC) sampling within a Bayesian framework.
  • Applied the method to mark-recapture data from a wild population of sociable weavers (Philetairus socius).
  • Main Results:

    • Identified a reduction in survival for lighter individuals, consistent with prior studies.
    • Demonstrated an asymmetric survival function in relation to body mass.
    • The nonparametric approach provided flexibility and suggested potential deviations from simple parametric models.

    Conclusions:

    • The developed nonparametric method effectively assesses natural selection in the presence of imperfect detection.
    • Survival selection related to body mass in sociable weavers is asymmetric, challenging previous assumptions of stabilizing selection.
    • This flexible approach can aid in exploring complex selection patterns and potentially inform new parametric models.