INRA, UMR1348 PEGASE, 16 le Clos, 35590 Saint-Gilles, France; Agrocampus Ouest, UMR1348 PEGASE, 65 rue de Saint Brieuc, 35042 Rennes, France.
INRA, UMR1348 PEGASE, 16 le Clos, 35590 Saint-Gilles, France; Agrocampus Ouest, UMR1348 PEGASE, 65 rue de Saint Brieuc, 35042 Rennes, France.
Meat Sci. 2018 Jan;135:148-158. doi: 10.1016/j.meatsci.2017.09.015. Epub 2017 Sep 28.
Many QTL affecting meat quality and carcass traits have been reported. However, in most of the cases these QTL have been detected in non-commercial populations. Therefore, a family structured population of 457 F2 pigs issued from an inter-cross between 2 commercial sire lines was used to detect QTL affecting meat quality and carcass traits. All animals were genotyped using the Illumina PorcineSNP60 BeadChip platform. Genome-wide association studies were used in combination with linkage disequilibrium-linkage analysis to identify QTL. A total of 32 QTL were detected. Nine of these QTL exceeded the genome-wide 5% significance threshold. We detected 18 QTL affecting carcass composition traits and 16 QTL affecting meat quality traits. Using post-QTL bioinformatics analysis we highlighted 26 functional candidate genes related to fatness, muscle development, meat color and meat pH. Finally, our results shed light on the advantage of using different QTL detection methodologies to get a global overview of the QTL present in the studied population.
许多影响肉质和胴体性状的 QTL 已经被报道。然而，在大多数情况下，这些 QTL 是在非商业群体中检测到的。因此，使用一个由 2 个商业 sire 系杂交产生的 457 头 F2 猪的家族结构群体来检测影响肉质和胴体性状的 QTL。所有动物都使用 Illumina PorcineSNP60 BeadChip 平台进行基因分型。使用全基因组关联研究结合连锁不平衡-连锁分析来识别 QTL。总共检测到 32 个 QTL。其中 9 个 QTL 超过了全基因组 5%的显著性阈值。我们检测到 18 个影响胴体组成性状的 QTL 和 16 个影响肉质性状的 QTL。通过后 QTL 生物信息学分析，我们突出了 26 个与肥胖、肌肉发育、肉色和肉 pH 值相关的功能候选基因。最后，我们的结果表明，使用不同的 QTL 检测方法可以全面了解研究群体中存在的 QTL，这具有优势。
