University of Aarhus, Faculty of Agricultural Sciences, Department of Genetics and Biotechnology, DK-8830, Tjele, Denmark.
J Anim Sci. 2010 Sep;88(9):2904-12. doi: 10.2527/jas.2009-2590. Epub 2010 May 21.
A QTL study was performed in large half-sib families to characterize the genetic background of variation in pork quality traits as well as to examine the possibilities of including QTL in a marker-assisted selection scheme. The quality traits included ultimate pH in LM and the semimembranosus, drip loss, and the Minolta color measurements L*, a*, and b* representing meat lightness, redness, and yellowness, respectively. The families consist of 3,883 progenies of 12 Duroc boars that were evaluated to identify the QTL. The linkage map consists of 462 SNP markers on 18 porcine autosomes. Quantitative trait loci were mapped using a linear mixed model with fixed factors (sire, sex, herd, month, sow age) and random factors (polygenic effect, QTL effects, and litter). Chromosome-wide and genome-wide significance thresholds were determined by Peipho's approach, and 95% Bayes credibility intervals were estimated from a posterior distribution of the QTL position. In total, 31 QTL for the 6 meat quality traits were found to be significant at the 5% chromosome-wide level, among which 11 QTL were significant at the 5% genome-wide level and 5 of these were significant at the 0.1% genome-wide level. Segregation of the identified QTL in different families was also investigated. Most of the identified QTL segregated in 1 or 2 families. For the QTL affecting ultimate pH in LM and semimembranosus and L* and b* value on SSC6, the positions of the QTL and the shapes of the likelihood curves were almost the same. In addition, a strong correlation of the estimated effects of these QTL was found between the 4 traits, indicating that the same genes control these traits. A similar pattern was seen on SSC15 for the QTL affecting ultimate pH in the 2 muscles and drip loss. The results from this study will be helpful for fine mapping and identifying genes affecting meat quality traits, and tightly linked markers may be incorporated into marker-assisted selection programs.
进行了一项 QTL 研究,以描述猪肉品质性状遗传背景的变化,并研究将 QTL 纳入标记辅助选择计划的可能性。这些品质性状包括 LM 和半膜肌的最终 pH 值、滴水损失以及 Minolta 颜色测量值 L*、a和 b,分别代表肉的亮度、红色度和黄色度。这些家系由 12 头杜洛克公猪的 3883 头后代组成,对这些后代进行了评估以确定 QTL。连锁图谱由 18 条猪染色体上的 462 个 SNP 标记组成。使用线性混合模型,通过固定因素(父本、性别、畜群、月份、母猪年龄)和随机因素(多基因效应、QTL 效应和窝效应)对 QTL 进行了定位。通过 Peipho 方法确定了染色体-wide 和全基因组显著性阈值,并从 QTL 位置的后验分布中估计了 95%的贝叶斯可信度区间。总共发现了 6 个肉质性状的 31 个 QTL 在 5%染色体-wide 水平上显著,其中 11 个 QTL 在 5%全基因组水平上显著,其中 5 个在 0.1%全基因组水平上显著。还研究了不同家系中鉴定出的 QTL 的分离情况。大多数鉴定出的 QTL 在 1 或 2 个家系中分离。对于影响 LM 和半膜肌最终 pH 值以及 SSC6 上 L和 b值的 QTL,QTL 的位置和似然曲线的形状几乎相同。此外,还发现这些 QTL 的估计效应之间存在很强的相关性,表明相同的基因控制着这些性状。在 SSC15 上,影响这两个肌肉和滴水损失的最终 pH 值的 QTL 也存在类似的模式。本研究的结果将有助于对影响肉质性状的基因进行精细定位和鉴定,并且紧密连锁的标记可能被纳入标记辅助选择计划。