Summary Linkage maps have been constructed for Sus scrofa chromosome 6 (SSC6) based on 17 markers, of which 10 were used in all three F2 families of Wild Boar (W), Meishan (M) and Pietrain (P) crosses. The coverage of the linkage maps of SSC6 was almost complete. All loci were ordered identically in the families, but two intervals (RYR1‐A1BG‐EAH, S0146‐S0003‐SW824) differed from published maps. Major quantitative trait loci (QTLs) for meat quality, stress resistance and carcass composition explaining up to 59% of F2 phenotypic variance have been mapped in the M × P and W × P families centred on the segregating RYR1 T and C alleles. In the W × M family, which was homozygous for the RYR1 C allele, no QTL effects for meat quality and stress‐resistance, but moderate effects for carcass composition have been observed in this region. These findings indicate further loci closely linked with the RYR1 or/and further alleles at the RYR1 locus, involved in the variation of carcass and growth traits.
Summary Linkage maps of Sus scrofa chromosome 7 (SSC7) for three informative F2 families, based on Wild Boar (W), Meishan (M) and Pietrain (P) crosses, were constructed using 16 marker loci. Maps were consistent for the families, except the order of the markers PI2‐PO1A‐S0212 in the W × M family which was inverted in the M × P and W × P families. Important quantitative trait loci (QTLs) were localized in the region of the SLA complex in the M × P and W × M families. These explained up to 16% of F2 phenotypic variance for body conformation, fat deposition and muscling. In the W × P family, minor QTLs were mapped outside the SLA region. The highly significant QTL alleles were mainly additive (a > d). The Meishan alleles for QTL located in the SLA region were associated with higher head weights and carcass lengths, but with lower carcass fat contents than those from Wild Boar and Pietrain. The cryptic Meishan QTL allele, which reduces carcass fat, provides one of the first examples of transgressive segregation in animals and emphasizes that useful genetic variation can be hidden in the genetic background of a breed.
Polymorphic markers identified in the horse genes encoding the interleukin 12 p40 subunit, interferon gamma, tumor necrosis factor receptor 1, and inducible nitric oxide synthase were identified and tested, along with additional markers, for associations with two important horse infections: Rhodococcus equi and Lawsonia intracellularis. Eight immune response-related and 14 microsatellite loci covering 12 out of 31 equine autosomes were used for the association analysis. Markers located on horse Chromosomes Eca10 and 15 were significantly associated with the presence of high numbers of R. equi in transtracheal aspirates. Significant associations of markers located on Eca9, 15, and 21 with fecal shedding of Lawsonia intracellularis were found. Marginal associations with tumor necrosis factor alpha, interferon gamma, and other genes suggested that variations in immune response-related genes could underlie the phenotypic variation observed.
The primary goal of this study was to analyse genetic variation within and among six Dachshund varieties in the Czech Republic using 10 microsatellites from StockMarks Paternity Polymerase Chain Reaction (PCR) Typing kit. A total of 632 Dachshunds were sampled - 99 Standard Smooth-haired, 72 Standard Long-haired, 272 Standard Wire-haired, 42 Miniature Smooth-haired, 73 Miniature Long-haired and 74 Miniature Wire-haired. Average observed heterozygosity and polymorphic information content ranged in particular Dachshund varieties between 0.58-0.70 and 0.57-0.64, respectively. Subsequent analysis of the population structure (F-statistics; Nei's genetic identity) showed that Standard Dachshunds shared allele frequencies most closely with their miniature equivalents, and smooth coat type is closer to Wire-haired coat type than to the Long-haired one. Analysis of molecular variance revealed that 11.81% of the total variance occurred among varieties. The value of combined exclusion probability (0.9955) validated usefulness of this panel of microsatellites for parentage verification in all analysed populations. We carried out 234 parentage verifications with 1.28% cases where parentage did not match.
Summary For Sus scrofa chromosome 13 (SSC13) eleven markers were genotyped to generate linkage and QTL maps in three F2 families based on Wild Boar (W), Meishan (M) and Pietrain (P) crosses. Results of linkage maps were similar and agreed with published maps. Quantitative trait loci (QTLs) for body weights, meat conductivity and fat deposition were mapped in the M × P family to the interval S0076–S0068 (40–80 cM) and near the locus SW38 (120–150 cM). QTLs for the same traits were observed in the W × M family in different intervals explaining up to 5.3% of the F2 phenotypic variance. No significant QTLs for the traits under investigation were found in the W × P family. The effects of QTL alleles were mostly dominant. In the M × P and W × M families alleles inherited from Meishan were generally associated with high values of live weights, food consumption and fat deposition and low values of meat conductivity.
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