PMID: 16637491Apr 28, 2006Paper

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

Evolution; International Journal of Organic Evolution
O GimenezThomas Lenormand

Abstract

Assessing natural selection on a phenotypic trait in wild populations is of primary importance for evolutionary ecologists. To cope with the imperfect detection of individuals inherent to monitoring in the wild, we develop a nonparametric method for evaluating the form of natural selection on a quantitative trait using mark-recapture data. Our approach uses penalized splines to achieve flexibility in exploring the form of natural selection by avoiding the need to specify an a priori parametric function. If needed, it can help in suggesting a new parametric model. We employ Markov chain Monte Carlo sampling in a Bayesian framework to estimate model parameters. We illustrate our approach using data for a wild population of sociable weavers (Philetairus socius) to investigate survival in relation to body mass. In agreement with previous parametric analyses, we found that lighter individuals showed a reduction in survival. However, the survival function was not symmetric, indicating that body mass might not be under stabilizing selection as suggested previously.

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Citations

Jul 31, 2008·Biology Letters·Res AltweggBirgit Erni
Mar 1, 2012·Theoretical Population Biology·Olivier GimenezRoger Pradel
Oct 11, 2014·Evolution; International Journal of Organic Evolution·Luis-Miguel Chevin, Benjamin C Haller
Oct 26, 2011·Evolution; International Journal of Organic Evolution·Marlène GamelonOlivier Gimenez
Aug 7, 2009·Evolution; International Journal of Organic Evolution·Olivier GimenezThomas Lenormand
Oct 3, 2012·Biometrical Journal. Biometrische Zeitschrift·Jakub Stoklosa, Richard M Huggins
Apr 4, 2008·Evolution; International Journal of Organic Evolution·Henrik JensenBernt-Erik Saether

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