Simultaneous mapping of epistatic QTL in chickens reveals clusters of QTL pairs with similar genetic effects on growth

Simultaneous mapping of epistatic QTL in chickens reveals clusters of QTL pairs with similar genetic effects on growth
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DOI:
10.1017/s0016672304006779
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发表时间:
2004-06-01
期刊:
GENETICAL RESEARCH
影响因子:
--
通讯作者:
Haley, CS
Haley, CS
中科院分区:
其他
文献类型:
--
作者:
Carlborg, R;Hocking, PM;Haley, CS

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我们使用相互作用的数量性状基因座(QTL)对的同步定位来研究鸡F₂代杂交群体中的各种生长性状。结果表明,与通过边际遗传效应检测QTL的传统方法相比,该方法使检测到的QTL数量增加了30%。上位性被证明是生长遗传方差的一个重要贡献因素,对早期生长(6周龄之前)影响最大。也有证据表明存在一组离散的相互作用基因座参与早期生长,这支持了先前关于鸡早期和晚期生长具有不同遗传调控的研究结果。对所有相互作用的QTL对的基因型 - 表型关系进行了评估,在评估的21对QTL中,有17对可归为四类中的一类,同一类中的基因座对生长具有非常相似的遗传效应。这些基因座对的遗传效应表明常见的显性 - 显性、杂种优势和乘积相互作用。这项研究的结果清楚地表明,使用这种同时检测上位性QTL的新方法可提高检测能力,并且上位性QTL对的基因型 - 表型关系的可视化如何为复杂性状背后的生物学机制提供新的见解。
We used simultaneous mapping of interacting quantitative trait locus (QTL) pairs to study various growth traits in a chicken F, intercross. The method was shown to increase the number of detected QTLs by 30% compared with a traditional method detecting QTLs by their marginal genetic effects. Epistasis was shown to be an important contributor to the genetic variance of growth, with the largest impact on early growth (before 6 weeks of age). There is also evidence for a discrete set of interacting loci involved in early growth, supporting the previous findings of different genetic regulation of early and late growth in chicken. The genotype-phenotype relationship was evaluated for all interacting QTL pairs and 17 of the 21 evaluated QTL pairs could be assigned to one of four clusters in which the pairs in a cluster have very similar genetic effects on growth. The genetic effects of the pairs indicate commonly occurring dominance-by-dominance, heterosis and multiplicative interactions. The results from this study clearly illustrate the increase in power obtained by using this novel method for simultaneous detection of epistatic QTL, and also how visualization of genotype-phenotype relationships for epistatic QTL pairs provides new insights to biological mechanisms underlying complex traits.