6533b7dbfe1ef96bd12708b5

RESEARCH PRODUCT

Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information

Ino CurikMaria SiwekBaldasare PortolanoRaffaela Finocchiaro

subject

EcologyBayesian probabilityPopulation structureProgram structureGeneral MedicineBiologylanguage.human_languageMalteseEvolutionary biologyGenetic structureGeneticslanguageMicrosatelliteAnimal Science and ZoologySicilianBiodiversity management

description

Summary 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 (AMOVA UST estimate). Seven clusters nested within these first two clusters (further differentiations of Girgentana, Derivata di Siria and Maltese), explaining 8.5% of variation (AMOVA USC estimate). The analyses and methods applied in this study indicate their power to detect subtle population structure.

https://doi.org/10.1111/j.1365-2052.2010.02080.x