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

Authors

  • M. Siwek,

    1. Department S.En.Fi.Mi.Zo., University of Palermo, Viale delle Scienze Parco d’Orleans 90128 Palermo, Italy
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    • Present address: Department of Animal Biotechnology, University of Technology and Life Sciences, Mazowiecka 28, 85-084 Bydgoszcz, Poland.

  • R. Finocchiaro,

    1. Associazione Nazionale Allevatori Frisona Italiana, Via Bergamo, 292 - 26100 Cremona, Italy
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  • I. Curik,

    1. Department of Animal Science, University of Zagreb, Faculty of Agriculture, Svetosimunska 25, 10000 Zagreb, Croatia
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  • B. Portolano

    1. Department S.En.Fi.Mi.Zo., University of Palermo, Viale delle Scienze Parco d’Orleans 90128 Palermo, Italy
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M. Siwek. Department of Animal Biotechnology, University of Technology and Life Sciences, Mazowiecka 28, 85-084 Bydgoszcz, Poland.
Email: siwek@utp.edu.pl

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

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