Phylogeography and support vector machine classification of colour variation in panther chameleons.

Autor: Grbic D; Laboratory of Artificial and Natural Evolution (LANE), Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.; Swiss Institute of Bioinformatics, Geneva, Switzerland., Saenko SV; Laboratory of Artificial and Natural Evolution (LANE), Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland., Randriamoria TM; Département de Biologie Animale, Faculté des Sciences, Université d'Antananarivo, Antananarivo, Madagascar.; Association Vahatra, Antananarivo, Madagascar., Debry A; Laboratory of Artificial and Natural Evolution (LANE), Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland., Raselimanana AP; Département de Biologie Animale, Faculté des Sciences, Université d'Antananarivo, Antananarivo, Madagascar.; Association Vahatra, Antananarivo, Madagascar., Milinkovitch MC; Laboratory of Artificial and Natural Evolution (LANE), Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.; Swiss Institute of Bioinformatics, Geneva, Switzerland.
Jazyk: angličtina
Zdroj: Molecular ecology [Mol Ecol] 2015 Jul; Vol. 24 (13), pp. 3455-66. Date of Electronic Publication: 2015 May 24.
DOI: 10.1111/mec.13241
Abstrakt: Lizards and snakes exhibit colour variation of adaptive value for thermoregulation, camouflage, predator avoidance, sexual selection and speciation. Furcifer pardalis, the panther chameleon, is one of the most spectacular reptilian endemic species in Madagascar, with pronounced sexual dimorphism and exceptionally large intraspecific variation in male coloration. We perform here an integrative analysis of molecular phylogeography and colour variation after collecting high-resolution colour photographs and blood samples from 324 F. pardalis individuals in locations spanning the whole species distribution. First, mitochondrial and nuclear DNA sequence analyses uncover strong genetic structure among geographically restricted haplogroups, revealing limited gene flow among populations. Bayesian coalescent modelling suggests that most of the mitochondrial haplogroups could be considered as separate species. Second, using a supervised multiclass support vector machine approach on five anatomical components, we identify patterns in 3D colour space that efficiently predict assignment of male individuals to mitochondrial haplogroups. We converted the results of this analysis into a simple visual classification key that can assist trade managers to avoid local population overharvesting.
(© 2015 The Authors. Molecular Ecology Published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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