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Characterization of QTL for Growth and Meat Quality in Combined Pig QTL Populations

机译:结合猪QTL群体的生长和肉品质量的QTL表征

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摘要

This study was conducted to detect quantitative trait loci (QTL) for thirteen growth and meat quality traits in pigs by combing QTL experimental populations. Two F-2 reference populations that were sired by Korea native pig (KNP) and dammed by Landrace (LN) or Yorkshire (YK) were generated to construct linkage maps using 123 genetic markers (mostly microsatellites) and to perform QTL analysis on porcine chromosomes (SSCs) 1, 2, 3, 6, 7, 8, 9, 11, 13, 14, and 15. A set of line-cross models was applied to detect QTL, and a series of lack-of-fit tests between the models was used to characterize inheritance mode of QTL. A total of 23, 11 and 19 QTL were detected at 5% chromosome-wise level for the data sets of KNPxLN, KNPxYK cross and joint sets of the two cross populations, respectively. With the joint data, two Mendelian expressed QTL for live weight and cooking loss were detected on SSC3 and SSC15 at 1% chromosome-wise level, respectively. Another Mendelian expressed QTL was detected for CIE a on SSC7 at 5% genome-wise level. Our results suggest that QTL analysis by combining data from two QTL populations increase power for QTL detection, which could provide more accurate genetic information in subsequent marker-assisted selection.
机译:通过组合QTL实验种群,进行此项研究以检测猪的13种生长和肉质性状的数量性状基因座。生成了两个由韩国本土猪(KNP)选育并由长白(LN)或约克郡(YK)筑巢的F-2参考种群,以使用123个遗传标记(主要是微卫星)构建连锁图,并对猪染色体进行QTL分析(SSC)1、2、3、6、7、8、9、11、13、14和15。使用一组线交叉模型来检测QTL,并且之间进行了一系列失配测试该模型用于表征QTL的继承模式。分别以5%染色体水平检测了两个交叉种群的KNPxLN,KNPxYK交叉和联合数据集的总共23、11和19个QTL。根据联合数据,分别在1%染色体水平上在SSC3和SSC15上检测到两个孟德尔表达的体重和烹饪损失QTL。在SSC7上以5%的基因组水平检测到另一个孟德尔表达的QTL的CIE a。我们的结果表明,通过结合来自两个QTL群体的数据进行QTL分析,可以提高QTL检测的能力,从而可以在随后的标记辅助选择中提供更准确的遗传信息。

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