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Geometric estimates of heritability in biological shape
Authors:Monteiro Leandro R  Diniz-Filho José Alexandre F  dos Reis Sérgio F  Araújo Edilson D
Institution:Laboratório de Ciěncias Ambientais, Centro de Biociencias e Biotecnologia, Universidade Estadual do Norte Fluminense, Av. Alberto Lamego 2000, Horto, Campos dos Goytacazes, 28015-620, Rio de Janeiro, Brasil E-mail:;Departamento de Biologta Geral, Instituto de Ciěncias Biológicas, Universidade Federal de Goiás, cp 131, 74001-970, Goi?nia, Goiás, Brasil E-mail:;Departamento de Parasitologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, 13083-970, São Paulo, Brasil E-mail:;Universidade Tiradentes, Centro de Ciěncias Biológicas e da Saúde, Campus II, Av. Murilo Dantas, 300, 49032-490, Aracaju-SE, Brasil E-mail:
Abstract:The recently developed geometric morphometrics methods represent an important contribution of statistics and geometry to the study of biological shapes. We propose simple protocols using shape distances that incorporate geometric techniques into linear quantitative genetic models that should provide insights into the contribution of genetics to shape variation in organisms. The geometric approaches use Procrustes distances in a curved shape space and distances in tangent spaces within and among families to estimate shape heritability. We illustrate the protocols with an example of wing shape variation in the honeybee, Apis mellifera. The heritability of overall shape variation was small, but some localized components depicting shape changes on distal wing regions showed medium to large heritabilities. The genetic variance-covariance matrix of the geometric shape variables was significantly correlated with the phenotypic shape variance-covariance matrix. A comparison of the results of geometric methods with the traditional multivariate analysis of interlandmark distances indicated that even with a larger dimensionality, the interlandmark distances were not as rich in shape information as the landmark coordinates. Quantitative genetics studies of shape should greatly benefit from the application of geometric methods.
Keywords:Apis  geometric morphometrics  heritability  Procrustes distances  quantitative genetics  wing shape
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