Objectif Foreseen ResultsThe 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. Champ scientifique natural sciencesbiological sciencesgeneticschromosomesnatural sciencesbiological sciencesgeneticsgenomes Programme(s) FP4-INCO - Specific research, technological development and demonstration programme in the field of cooperation with third countries and international organizations, 1994-1998 Thème(s) 01020901 - Genome mapping and improvement of farm animal selection Appel à propositions Data not available Régime de financement CSC - Cost-sharing contracts Coordinateur Universität Hohenheim Contribution de l’UE Aucune donnée Adresse Garbenstraße 17 70599 Stuttgart Allemagne Voir sur la carte Coût total Aucune donnée Participants (5) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire Humboldt-Universität zu Berlin Allemagne Contribution de l’UE Aucune donnée Adresse 42,Invalidenstraße 10115 Berlin Voir sur la carte Coût total Aucune donnée Institute of Animal Physiology and Genetics - Academy of Science of the Czech Republic Tchéquie Contribution de l’UE Aucune donnée Adresse 89,Rumburska 277 21 Libechov Voir sur la carte Coût total Aucune donnée Institute of Genetics and Animal Breeding - Polish Academy of Science Pologne Contribution de l’UE Aucune donnée Adresse Jastrzebiec 05 551 Mrokow Voir sur la carte Coût total Aucune donnée UNIVERSITY OF BOLOGNA Italie Contribution de l’UE Aucune donnée Adresse Via Fratelli Rosselli 107 42100 Reggio Emilia Voir sur la carte Coût total Aucune donnée Universiteit Gent Belgique Contribution de l’UE Aucune donnée Adresse 19,Heidestraat 9820 Merelbeke Voir sur la carte Coût total Aucune donnée
