A high proportion of purebred Hampshire pigs carries the dominant RN- mutation, which causes high glycogen content in skeletal muscle. The mutation has beneficial effects on meat content but detrimental effects on processing yield. Here, it is shown that the mutation is a nonconservative substitution (R200Q) in the PRKAG3 gene, which encodes a muscle-specific isoform of the regulatory gamma subunit of adenosine monophosphate-activated protein kinase (AMPK). Loss-of-function mutations in the homologous gene in yeast (SNF4) cause defects in glucose metabolism, including glycogen storage. Further analysis of the PRKAG3 signaling pathway may provide insights into muscle physiology as well as the pathogenesis of noninsulin-dependent diabetes mellitus in humans, a metabolic disorder associated with impaired glycogen synthesis.

No abstract

We have developed a panel of 152 whole-genome radiation hybrids by fusing irradiated diploid pig lymphocytes or fibroblasts with recipient hamster permanent cells. The number and size of the porcine chromosome fragments retained in each hybrid clone were checked by fluorescence in situ hybridization with a SINE probe or by primed in situ labeling (PRINS) with SINE-specific primers. A strategy based on the interspersed repetitive sequence polymerase chain reaction (IRS-PCR) was developed for selected clones to determine if the large fragments painted by the SINE probe corresponded to one pig chromosome or to different fragments of several chromosomes. This strategy was buttressed by a double PRINS approach using primers specific for α-satellite sequences of two different groups of swine chromosomes. Genome retention frequency was estimated for each clone by PCR with 32 markers localized on different porcine chromosomes. Of the 152 hybrids produced, 126 were selected on the basis of cytogenetic content and chromosome retention frequency to construct a radiation hybrid map of swine chromosome 8. Our initial results for this chromosome indicate that the resolution of the radiation hybrid map is 18 times higher than that obtained by linkage analysis.

A whole-genome radiation hybrid (WG-RH) panel was used to generate a first-generation radiation map of the porcine (Sus scrofa) genome. Over 900 Type I and II markers were used to amplify the INRA-University of Minnesota porcine Radiation Hybrid panel (IMpRH) comprised of 118 hybrid clones. Average marker retention frequency of 29.3% was calculated with 757 scorable markers. The RHMAP program established 128 linkage groups covering each chromosome (n = 19) at a lod >/= 4.8. Fewer than 10% of the markers (59) could not be placed within any linkage group at a lod score >/=4.8. Linkage group order for each chromosome was determined by incorporating linkage data from the swine genetic map as well as physical assignments. The current map has an estimated ratio of approximately 70 kb/cR and a maximum theoretical resolution of 145 kb. This initial map forms a template for establishing accurate YAC and BAC contigs and eventual positional cloning of genes associated with complex traits.

Abstract

A quantitative trait locus (QTL) analysis of growth and fatness data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. Six boars and 23 F1 sows, the progeny of six LW boars and six MS sows, produced 530 F2 males and 573 F2 females. Nine growth traits, i.e. body weight at birth and at 3, 10, 13, 17 and 22 weeks of age, average daily gain from birth to 3 weeks, from 3 to 10 weeks and from 10 to 22 weeks of age, as well as backfat thickness at 13, 17 and 22 weeks of age and at 40 and 60 kg live weight were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using two interval mapping methods: a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half-/full-sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Both methods revealed highly significant gene effects for growth on chromosomes 1, 4 and 7 and for backfat thickness on chromosomes 1, 4, 5, 7 and X, and significant gene effects on chromosome 6 for growth and backfat thickness. Suggestive QTLs were also revealed by both methods on chromosomes 2 and 3 for growth and 2 for backfat thickness. Significant gene effects were detected for growth on chromosomes 11, 13, 14, 16 and 18 and for backfat thickness on chromosome 8, 10, 13 and 14. LW alleles were associated with high growth rate and low backfat thickness, except for those of chromosome 7 and to a lesser extent early-growth alleles on chromosomes 1 and 2 and backfat thickness alleles on chromosome 6.