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 ФST estimate). Seven clusters nested within these first two clusters (further differentiations of Girgentana, Derivata di Siria and Maltese), explaining 8.5% of variation (AMOVA ФSC estimate). The analyses and methods applied in this study indicate their power to detect subtle population structure.
Siwek, M., Finocchiaro, R., Curik, I., Portolano, B. (2011). Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information. ANIMAL GENETICS, 42, 93-95 [doi:10.1111/j.1365-2052.2010.02080.x].
Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information
PORTOLANO, Baldassare
2011-01-01
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 (AMOVA ФST estimate). Seven clusters nested within these first two clusters (further differentiations of Girgentana, Derivata di Siria and Maltese), explaining 8.5% of variation (AMOVA ФSC estimate). The analyses and methods applied in this study indicate their power to detect subtle population structure.File | Dimensione | Formato | |
---|---|---|---|
Hierarchical-structure-of-the-Sicilian-goats-revealed-by-Bayesian-analyses-of-microsatellite-information_2011_Animal-Genetics.pdf
accesso aperto
Dimensione
176.4 kB
Formato
Adobe PDF
|
176.4 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.