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Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information
M Siwek1, R Finocchiaro, I Curik
1Department SEnFiMiZo, University of Palermo, Viale delle Scienze Parco d'Orleans 90128 Palermo, Italy. siwek@utp.edu.pl
Abstract:
Genetic structure and relationship amongst the main goat populations in Sicily (Girgentana, Derivata di Siria, Maltese and Messinese) were analysed using information from 19 microsatellite markers genotyped on 173 individuals. A posterior Bayesian approach implemented in the program STRUCTURE revealed a hierarchical structure with two clusters at the first level (Girgentana vs. Messinese, Derivata di Siria and Maltese), explaining 4.8% of variation (amovaФ(ST) estimate). Seven clusters nested within these first two clusters (further differentiations of Girgentana, Derivata di Siria and Maltese), explaining 8.5% of variation (amovaФ(SC) estimate). The analyses and methods applied in this study indicate their power to detect subtle population structure.
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