Abstract
The domestic chicken is important for food production with high quality protein for the human consumption population. Technological improvements have allowed the identification of polymorphisms quickly and at relatively low cost. Dense single-nucleotide polymorphism (SNP) chips have emerged as a valuable resource for genetic studies, such as genomic selection and the detection of quantitative trait loci (QTL). Moreover, with the use of thousands of SNPs/insertions and deletions (INDELs) with appropriate statistical methodologies it is possible to identify regions that are under positive selection. The objective of this project is the identification of genomic regions in the chicken that control important economical traits. For this purpose we will perform genome wide association study of 1,000 broilers of one Brazilian experimental population with a dense SNP chip (600K); re-sequencing of the entire genome of four distinct experimental lines slaughtered in 1999 and 2013 by Illumina technology (broiler, white egg layer with and without selection, brown egg layer, with a total of 72 chickens); identification, annotation and validation of genetic variations by bioinformatics tools; identification of selective sweeps, and the construction of a catalog of genetic variations for the Brazilian experimental lines which will be compared with other chicken databases. The results will provide important additional information to the QTL mapping studies already conducted by our group, a better understanding of the genetic mechanisms involved in the biological processes of chicken growth; and also contribute to the development of tools for the genetic selection of superior animals and will allow training of students in the area of genomics and bioinformatics. (AU)
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