The rationale for this project is that genome regions that have been affected by selection should contain genes of potential economic interest. The goal is to characterize the variability at the DNA level between three Sus scrofa populations (wild board, Iberian and Duroc pig breeds). Five candidate regions will be analysed: IGF2 (chr2), SLA (chr.7) DERC (chr4), SRY (chr.Y); FACL4 (chr.X). The analysis of the DNA sequences should allow us to identify whether a particular region has been the target of selection. The differences between wild boar and Iberian pigs are due mostly to domestication, whereas the comparison between Iberian and Duroc should reflect the effect of intense selection for leanness and for growth. Moreover, this study will also provide information about the extent of linkage disequilibrium and mutation rates in the pig. The values of these parameters will largely influence experimental designs for fine mapping like, e-g- how many SNPs should be typed and how large are the haplotype blocks (if they exist) in the porcine species. In addition to the experimental work, we also propose developing statiscal and bioinformatics tools. Specifically, we will develop new statiscal methods to identify causal mutations and to analyze jointly expression and SNp data (genetical genomics). In addition, a new bioinformatics platforms will be setup to manage efficiently our own data and automatically extract information from public databases (GenBank,&) and present them via a friendly interface. Part of this platform will be publicly available via web
|Effective start/end date||13/12/04 → 12/12/07|
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