P1106
Poor Genetic Structure in Local Goat Breeds from Central and Southern Continental Italy

Francesca Maria Sarti , Department of Agricultural, Food and Environmental Sciences - University of Perugia., Perugia, Italy
Francesco Panella , Department of Agricultural, Food and Environmental Sciences - University of Perugia., Perugia, Italy
Giuseppe Martino , Faculty of Bioscience and Technology for Food, Agriculture and Environment - University of Teramo, Teramo, Italy
Fabio Pilla , Department of Agricultural, Environmental and Food Sciences - University of Campobasso, Campobasso, Italy
Mariasilvia D'Andrea , Department of Agricultural, Environmental and Food Sciences - University of Campobasso, Campobasso, Italy
Emiliano Lasagna , Department of Agricultural, Food and Environmental Sciences - University of Perugia., Perugia, Italy
Simone Ceccobelli , Department of Agricultural, Food and Environmental Sciences - University of Perugia., Perugia, Italy
Elisa Pieragostini , Department of Emergency and Organ Transplant, Division of Veterinary Clinics and Animal Production, University of Bari “Aldo Moro”, Bari, Italy
Ciani Elena , Università degli Studi di Bari "Aldo Moro", Bari, Italy
Italian Goat Consortium , Italy
As a follow-up activity within the frame of the Italian Goat Consortium (http://www.goatit.eu), a total of 190 samples from 8 small population size goat breeds from central and southern continental Italy, i.e. Bianca (24), Capestrina (22), Facciuta (24), Fulva (22), Garganica (24), Ciociara Grigia (24), Montefalcone (23) and Teramana (24), was genotyped using the Illumina Goat 60K SNP BeadChip. After pruning (--mind 0.1 --geno 0.02 --maf 0.01), 48,655 loci and 187 animals were left. Unsupervised Bayesian clustering highlighted, at K=2, no significant sub-structuring, with the exception of six Garganica animals, that were found to have rather high inbreeding coefficients (inbreeding bias). At K=3, the Teramana animals partly clustered in a separate group (N=11), partly fell in the general group (N=8), the remaining animals presenting signals of admixture between these two clusters (N=5). At the best K value (K=4), identified using the ADMIXTURE cross-validation procedure, a further cluster appeared, represented by few Bianca, few Capestrina and very few Grigia animals. The latter three breeds are all from the same region (Lazio), hence the observed results may suggest that recent short-range admixture practices may have influenced the current genetic make-up of these breeds. MDS analysis corroborated the above results. Meta-analysis of our genotypic dataset with data available from previous studies will allow to get better insights on the generally weak genetic structure observed in this study, likely arising from extensive remote and recent admixture practices and/or a common ancestral genetic stock.