title: Phenotypic and genetic variations and correlations in multitrait developmental instability: a multivariate Bayesian model applied to Speckled Wood butterfly (Pararge aegeria) wing measurements.
abstract: Phenotypic and genetic variation and covariation in developmental instability (DI) have been the subject of many debates. In this paper we develop and apply a statistical model in a Bayesian context to analyse different traits simultaneously in a multivariate model of DI. We apply the model to measurements of yellow spots on the front wing of the Speckled Wood butterfly (Pararge aegeria L.) in a full-sib breeding experiment. We estimated the posterior distribution of the broad-sense heritability of DI averaged across the five yellow spots, which had a median of 0.19 and a 95% credibility interval ranging between 0.04 and 0.64. Phenotypic and genetic correlations in DI could not be estimated accurately with the present sample size. Yellow spots 4 and 5 appeared to show some degree of developmental integration. The importance of this model and its possible extensions are discussed.
authors: Evolutionary Biology Group, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium. stefan.vandongen@ua.ac.be
authors: Stefan
authors: S
authors: Van Dongen
authors: Willem
authors: W
authors: Talloen
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D002080:Butterflies / Q000235:genetics* / Q000254:growth & development*; D005260:Female; D014644:Genetic Variation; D042822:Genomic Instability / Q000235:genetics*; D007178:Inbreeding; D040582:Inheritance Patterns; D008297:Male; D008957:Models, Genetic; D015999:Multivariate Analysis; D009929:Organ Size / Q000235:genetics; D010641:Phenotype; D014921:Wings, Animal / Q000033:anatomy & histology*