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Reports on the sequences of genes coding for porcine tyrosinase (TYR) and related proteins. Confirmation of TYR and dopachrome tautomerase to chromosomes 9; Detection of single nuclei polymorphism in porcine reference DNA panels; Polymorphism detection in reverse transcriptase polymerase chain reaction.

The article discusses the assignment of genes from human chromosome 18 to the porcine. The article discusses several aspects involved in the research including the selection of gene, radiation hybrid mapping and chromosome assignments. The analysis of assignment of genes to porcine using carthagene is also discussed.

Respiratory disease is the most important health concern for the swine industry. Genetic improvement for disease resistance is challenging because of the difficulty in obtaining good phenotypes related with disease resistance; however, identification of genes or markers associated with disease resistance can help in the genetic improvement of pig health. The purpose of our study was to investigate whether quantitative trait loci ( QTL) associated with disease resistance were segregated in a purebred population of Landrace pigs that had been selected for meat production traits and mycoplasmal pneumonia of swine ( MPS) scores over five generations. We analysed 1395 pigs from the base to the fifth generation of this population. Two respiratory disease traits [ MPS scores and atrophic rhinitis ( AR) scores] and 11 immune-capacity traits were measured in 630-1332 animals at 7 weeks of age and when the animal's body weight reached 105 kg. Each of the pigs, except sires in the base population, was genotyped using 109 microsatellite markers, and then, QTL analysis of the full-sib family population with a multi-generational pedigree structure was performed. Variance component analysis was used to detect QTL associated with MPS or AR scores, and the logarithm of odds ( LOD) score and genotypic heritability of the QTL were estimated. Five significant ( LOD > 2.51) and 18 suggestive ( LOD > 1.35) QTL for respiratory disease traits and immune-capacity traits were detected. The significant QTL for Log- MPS score, located on S. scrofa chromosome 2, could explain 87% of the genetic variance of this score in this analysis. This is the first report of QTL associated with respiratory disease lesions. [ABSTRACT FROM AUTHOR]

A large number of significant QTL for economically important traits including average daily gain have been located on SSC1q, which, as shown by chromosome painting, corresponds to four human chromosomes (HSA9, 14, 15 and 18). To provide a comprehensive comparative map for efficient selection of candidate genes, 81 and 34 genes localized on HSA9 and HSA14 respectively were mapped to SSC1q using a porcine 7000-rad radiation hybrid panel (IMpRH). This study, together with the cytogenetic map ( ), demonstrates that SSC1q2.1-q2.13 corresponds to the region ranging from 44.6 to 63.2 Mb on HSA14q21.1-q23.1, the region from 86.5 to 86.8 Mb on HSA15q24-q25, the region from 0.9 to 27.2 Mb on HSA9p24.3-p21, the region from 35.1 to 38.0 Mb on HSA9p13, the region from 70.3 to 79.3 Mb on HSA9q13-q21 and the region from 96.4 to 140.0 Mb on HSA9q22.3-q34. The conserved synteny between HSA9 and SSC1q is interrupted by at least six sites, and the synteny between HSA14 and SSC1q is interrupted by at least one site. [ABSTRACT FROM AUTHOR]

We previously mapped a locus for porcine intramuscular fat content (IMF) by linkage analysis to a 17.1-cM chromosome interval on Sus scrofa chromosome 7 (SSC7) flanked by microsatellite markers SW1083 and SW581. In this study, we identified 34 microsatellite markers and 14 STSs from the 17.1-cM IMF quantitative trait loci (QTL) region corresponding to HSA14q and aligned those loci using the INRA-University of Minnesota porcine radiation hybrid (IMpRH) panel. We then constructed a 5.2-Mb porcine bacterial artificial chromosome (BAC) contig of this region that was aligned using the RH panel. Finally, the IMF QTL was fine-mapped to 12.6 cM between SJ169 and MM70 at the 0.1% chromosome-wise significance level by genotyping the previously studied F2 resource family with 17 additional microsatellites. We also demonstrated that the SJ169– MM70 interval spans approximately 3.0 Mb and contains at least 12 genes: GALC, GPR65, KCNK10, SPATA7, PTPN21, FLJ11806, EML5, TTC8, CHES1, CAP2P1, CHORDC2P and C14orf143. [ABSTRACT FROM AUTHOR]