Mapping QTL in the porcine MHC region affecting fatness and growth traits in a Meishan/Large White composite population

• Published in: Animal genetics Vol. 42; no. 1; pp. 83 - 85
• Main Authors: Wei, W.H, Skinner, T.M, Anderson, J.A, Southwood, O.I, Plastow, G, Archibald, A.L, Haley, C.S
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.02.2011; Wiley Subscription Services, Inc
• Subjects: Adipose Tissue - growth & development; Animals; association; Breeding; Confidence intervals; growth rate; Hogs; identity-by-descent; Major Histocompatibility Complex; Meat; pig; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Quantitative Trait, Heritable; subcutaneous fat depth; Sus scrofa - genetics; Sus scrofa - growth & development; variance component analysis; Weaning
• ISSN: 0268-9146; 1365-2052
• DOI: 10.1111/j.1365-2052.2010.02062.x

A number of studies have mapped QTL regulating porcine fatness and growth traits to the region of the major histocompatibility complex (MHC) on porcine chromosome 7 using various experimental crosses. The QTL results from crosses using the Chinese Meishan (MS) (slow growing and fat) are particularly interesting because the MS alleles have been found to be associated with increased growth rate and reduced backfat depth. We investigated these QTL further in a composite population derived previously over eight generations by intercrossing Meishan and the European Large White breeds. Genotype information from 32 markers in a 15cM target region was used in linkage and association analyses. A two-step variance component analysis identified QTL for three growth-related traits, explaining 19 ∼ 24% of the phenotypic variance with a confidence interval of 4 cM in the target region. SNP association analyses found that ss181128966 and ss181128924 within the QTL interval were strongly associated with the growth traits. Only weak signals for an effect on backfat depth were found in the association and linkage analyses, possibly because of past directional selection in the composite population.