Detecting footprints of selection in Ovis aries by a spatial analysis approach

Detecting adaptive loci in the genome is essential as it gives the possibility to understand what proportion of a genome or which genes are under the pressure of natural selection. In this paper, we used a Spatial Analysis Method (SAM) recently developed to detect signatures of natural selection in sheep breeds.With the contribution of Geographical Information Systems, environmental variables, and AFLP data, multiple univariate logistic regressions are run to test for association between allelic frequencies at marker loci and environmental variables. The results of the application of this method to sheep breeds are compared with those obtained with a standard population genetics approach.


Published in:
Italian Journal of Animal Science, 6, Suppl. 1, 171-173
Presented at:
ASPA 17th Congress, Alghero, Italy, May 29-June 1, 2007
Year:
2007
Publisher:
Bologna, Edizioni Avenue Media
Keywords:
Laboratories:




 Record created 2007-11-05, last modified 2018-01-28


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