Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information.
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.
Siwek
M
M
Department SEnFiMiZo, University of Palermo, Viale delle Scienze Parco d'Orleans 90128 Palermo, Italy. siwek@utp.edu.pl
Finocchiaro
R
R
Curik
I
I
Portolano
B
B
D000818:Animals; D001499:Bayes Theorem; D001947:Breeding; D006041:Goats / Q000145:classification / Q000235:genetics*; D018895:Microsatellite Repeats; D010375:Pedigree; D012802:Sicily