Geographical patterning of sixteen goat breeds from Italy, Albania and Greece assessed by Single Nucleotide Polymorphisms

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Abstract

Background. SNP data of goats of three Mediterranean countries were used for population studies and reconstruction of geographical patterning. 496 individuals belonging to Italian, Albanian and Greek breeds were genotyped to assess the basic population parameters. Results. A total of 26 SNPs were used, for a total of 12,896 genotypes assayed. Statistical analysis revealed that breeds are not so similar in terms of genetic variability, as reported in studies performed using different markers. The Mantel test showed a strongly significant correlation between genetic and geographic distance. Also, PCA analysis revealed that breeds are grouped according to geographical origin, with the exception of the Greek Skopelos breed. Conclusion. Our data point out that the use of SNP markers to analyze a wider breed sample could help in understanding the recent evolutionary history of domestic goats. We found correlation between genetic diversity and geographic distance. Also PCA analysis shows that the breeds are well differentiated, with good correspondence to geographical locations, thus confirming the correlation between geographical and genetic distances. This suggests that migration history of the species played a pivotal role in the present-day structure of the breeds and a scenario in which coastal routes were easier for migrating in comparison with inland routes. A westward coastal route to Italy through Greece could have led to gene flow along the Northern Mediterranean.

Original languageEnglish
Article number20
JournalBMC Ecology
Volume9
DOIs
StatePublished - 2009

Funding

This work was partially supported by the ECONOGENE project, funded by the European Union (project QLK5-CT2001-02461). The content of the publication does not necessarily represent the views of the Commission or its services. The authors wish to thank Flora Jane Dause for help with the language and three anonymous reviewers for helpful comments. Stephane Joost kindly provided figure 3.

FundersFunder number
European CommissionQLK5-CT2001-02461

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