The selected potential candidate gene loci will be genotyped in the F2 families. Subsequently their QTL effects and interactions with other genes can be analysed for different genetical backgrounds. The basis of genetic correlations between traits will be investigated by use of adequate multivariate methods. With the help of three genetically diverse F2 families and many traits, the genetical basis of quantitative traits can be interpreted comprehensively. Moreover, in parallel nationally funded projects the identified candidate genes will be screened in several resource populations. Data from these activities will characterize new porcine genes, which are involved in variability of carcass and meat quality. The application of results will not only lead to an increased breeding efficiency, but also improve the food quality produced from pork. Because of the known trait correlations and the pig breeds used, indirectly, new genetic factors for adaptability of pigs against stress and diseases can be analysed. The expected results will enable the breeding industry to compete in world markets by responding to changing consumer demands.
The aim of the collaborative project is to analyse and map porcine candidate genes, which affect traits for carcass components and meat quality. For this purpose, three F2 families have been established for QTL mapping by crossing genetically divergent European Wild Boar, Meishan and Pietrain pigs. More than 900 F2 animals are typed for 121 loci, mostly located on 10 chromosomes, as well as recorded for nearly 100 quantitative traits of carcass and meat quality (e.g. structure and metabolism of single muscle fibres and fat cells). In a first step of the proposed project additional 42 microsatellite loci will be typed in order to cover the entire genome with marker loci. QTL effects are mapped on the basis of existing data of marker loci and quantitative traits. Potential candidate gene loci will be selected, which are significant for generation and structure of musculing as well as located in chromosome regions of major QTL effects. For this purpose, genes will be identified by using data of comparative mapping and muscle specific cDNA libraries.
Funding SchemeCSC - Cost-sharing contracts
277 21 Libechov
05 551 Mrokow
42100 Reggio Emilia