Institute of Animal Science, University of Bonn, Germany.
Genet Sel Evol. 2010 Oct 26;42(1):39. doi: 10.1186/1297-9686-42-39.
Quantitative trait loci (QTL) analyses in pig have revealed numerous individual QTL affecting growth, carcass composition, reproduction and meat quality, indicating a complex genetic architecture. In general, statistical QTL models consider only additive and dominance effects and identification of epistatic effects in livestock is not yet widespread. The aim of this study was to identify and characterize epistatic effects between common and novel QTL regions for carcass composition and meat quality traits in pig.
Five hundred and eighty five F₂ pigs from a Duroc × Pietrain resource population were genotyped using 131 genetic markers (microsatellites and SNP) spread over the 18 pig autosomes. Phenotypic information for 26 carcass composition and meat quality traits was available for all F₂ animals. Linkage analysis was performed in a two-step procedure using a maximum likelihood approach implemented in the QxPak program.
A number of interacting QTL was observed for different traits, leading to the identification of a variety of networks among chromosomal regions throughout the porcine genome. We distinguished 17 epistatic QTL pairs for carcass composition and 39 for meat quality traits. These interacting QTL pairs explained up to 8% of the phenotypic variance.
Our findings demonstrate the significance of epistasis in pigs. We have revealed evidence for epistatic relationships between different chromosomal regions, confirmed known QTL loci and connected regions reported in other studies. Considering interactions between loci allowed us to identify several novel QTL and trait-specific relationships of loci within and across chromosomes.
猪的数量性状基因座(QTL)分析揭示了许多影响生长、胴体组成、繁殖和肉质的个体 QTL,表明其遗传结构复杂。一般来说,统计 QTL 模型只考虑加性和显性效应,并且家畜中上位性效应的鉴定尚未广泛开展。本研究的目的是鉴定和表征猪胴体组成和肉质性状的常见和新的 QTL 区域之间的上位性效应。
使用分布在 18 条猪染色体上的 131 个遗传标记(微卫星和 SNP)对来自杜洛克×皮特兰资源群体的 585 头 F₂ 猪进行了基因型分析。所有 F₂ 动物都有 26 个胴体组成和肉质性状的表型信息。使用 QxPak 程序中的最大似然法在两步程序中进行连锁分析。
观察到不同性状之间存在一些相互作用的 QTL,导致在整个猪基因组的染色体区域之间鉴定出多种网络。我们确定了 17 对用于胴体组成的上位性 QTL 对和 39 对用于肉质性状的上位性 QTL 对。这些相互作用的 QTL 对解释了高达 8%的表型方差。
我们的研究结果表明了上位性在猪中的重要性。我们已经证明了不同染色体区域之间存在上位性关系,证实了已知的 QTL 位点,并连接了其他研究中报道的区域。考虑到基因座之间的相互作用,我们能够识别出一些新的 QTL 和跨染色体的特定于性状的基因座关系。