Original scientific paper
Geographic Patterns of Genetic Variation in Indigenous Eastern Adriatic Sheep Breeds
Maja Banadinović
; Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska 25, 10000 Zagreb
Alen Džidić
orcid.org/0000-0001-8259-4372
; Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska 25, 10000 Zagreb
Mojca Simčič
; University of Ljubljana, Biotechnical Faculty, Department of Animal Science, Jamnikarjeva 101, SI-1000 Ljubljana, Slovenia
Dragica Šalamon
orcid.org/0000-0003-3676-104X
; Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska 25, 10000 Zagreb
Abstract
The geographical patterns of genetic variation in domestic species are the outcome of spatially explicit demographic events. Technological advances have made the obtaining of spatial information easier and different techniques have been developed to analyse spatial patterns of genetic variation. Relatively weak geographic trends found in sheep populations suggested the use of more powerful approaches, such as spatial principle component analysis. The aim of the study was to assess if application of spatial approach could reveal structures and patterns of genetic variation in indigenous Eastern Adriatic sheep breeds and contribute to our current knowledge about their genetic differentiation. We found south-east to north-west cline as the global structure using spatial principal component analysis, which outperformed the principal component analysis in this study and complemented understanding of variability of the investigated breeds reported in other multivariate and model-based clustering methods applied on this microsatellite data in previous research. Kernel density estimation suggested the Lika pramenka sheep belongs to a separate patch, not recognized in the spatial effects of the spatial principal component analysis. This potential structure should be further investigated.
Keywords
spatial genetics; sheep breeds; spatial principal component analysis; Moran’s I
Hrčak ID:
191842
URI
Publication date:
18.12.2017.
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