Joint analysis of quantitative trait loci and major-effect causative mutations affecting meat quality and carcass composition traits in pigs.
Joint analysis of quantitative trait loci and major-effect causative mutations affecting meat quality and carcass composition traits in pigs.
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DOI：
10.1186/1471-2156-12-76
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发表时间：
2011-08-29
期刊：
影响因子：
2.9
通讯作者：
Le Roy P
中科院分区：
文献类型：
--
作者：
Cherel P;Pires J;Glénisson J;Milan D;Iannuccelli N;Hérault F;Damon M;Le Roy P
检测影响猪肉质性状的数量性状基因座(QTL)对于设计有效的标记辅助选择程序和开始识别潜在的多态是至关重要的。RYR1和PRKAG3致病突变最初是从对肉类特性的主要影响中发现的，既可以作为对不同影响性状的整体QTL检测策略的控制，也可以作为检测到的QTL效应的尺度。我们报告了一项基于微卫星的QTL检测扫描，包括猪的肉品质和屠体组成性状的所有常染色体，在由1,000头雌性和大白汉普郡-杜洛克合成父系杂交产生的F2群体中进行。我们的QTL检测设计允许在低频(0.03-0.08)分离时并排比较被视为QTL的RYR1和PRKAG3突变效应，并在大多数相同人群中检测到独立的QTL效应，不包括这些突变的任何携带者。在没有RYR1和PRKGA3突变的情况下，检测到了较大的QTL效应，解释了SSC6腰部颜色红色CIE-a*表型变异的12.7%和SSC1糖酵解潜力表型变异的15%。在此条件下，共检测到8个影响肉质性状的显著QTL和20个影响屠体组成和生长性状的显著QTL。在包括突变携带者在内的对照分析中，RYR1和PRKAG3突变被检测为QTL，从极显著到暗示，根据性状解释了53%~5%的表型变异。我们的结果表明，部分肌肉发育和背脂厚度效应通常归因于RYR1突变，可能是与影响这些性状的独立QTL连锁的结果。本工作中检测到的最显著QTL解释的变异比例接近主效突变对受影响最小性状的影响，但比主要受这些致病突变影响的性状的方差效应低一个数量级。这表明，揭示直接受遗传多态影响的生理性状将是进一步确定QTL的合适途径。
Detection of quantitative trait loci (QTLs) affecting meat quality traits in pigs is crucial for the design of efficient marker-assisted selection programs and to initiate efforts toward the identification of underlying polymorphisms. The RYR1 and PRKAG3 causative mutations, originally identified from major effects on meat characteristics, can be used both as controls for an overall QTL detection strategy for diversely affected traits and as a scale for detected QTL effects. We report on a microsatellite-based QTL detection scan including all autosomes for pig meat quality and carcass composition traits in an F2 population of 1,000 females and barrows resulting from an intercross between a Pietrain and a Large White-Hampshire-Duroc synthetic sire line. Our QTL detection design allowed side-by-side comparison of the RYR1 and PRKAG3 mutation effects seen as QTLs when segregating at low frequencies (0.03-0.08), with independent QTL effects detected from most of the same population, excluding any carrier of these mutations. Large QTL effects were detected in the absence of the RYR1 and PRKGA3 mutations, accounting for 12.7% of phenotypic variation in loin colour redness CIE-a* on SSC6 and 15% of phenotypic variation in glycolytic potential on SSC1. We detected 8 significant QTLs with effects on meat quality traits and 20 significant QTLs for carcass composition and growth traits under these conditions. In control analyses including mutation carriers, RYR1 and PRKAG3 mutations were detected as QTLs, from highly significant to suggestive, and explained 53% to 5% of the phenotypic variance according to the trait. Our results suggest that part of muscle development and backfat thickness effects commonly attributed to the RYR1 mutation may be a consequence of linkage with independent QTLs affecting those traits. The proportion of variation explained by the most significant QTLs detected in this work is close to the influence of major-effect mutations on the least affected traits, but is one order of magnitude lower than effect on variance of traits primarily affected by these causative mutations. This suggests that uncovering physiological traits directly affected by genetic polymorphisms would be an appropriate approach for further characterization of QTLs.