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首页> 外文期刊>Poultry Science >Fine-mapping quantitative trait Loci for body weight and abdominal fat traits: effects of marker density and sample size.
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Fine-mapping quantitative trait Loci for body weight and abdominal fat traits: effects of marker density and sample size.

机译:精细映射的数量性状体重和腹部脂肪性状的基因座:标记物密度和样本量的影响。

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摘要

Highly significant QTL for BW and abdominal fat traits on chicken chromosome 1 were reported previously in a unique F(2) population. The objective of this study was to confirm and refine the QTL locations. Compared with the previous experiment, this study added 8 new families, including all the animals in the pedigree, and genotyped 9 more microsatellite markers, including 6 novel ones. Linkage analyses were performed. The results of the linkage analyses showed that the confidence intervals for BW and abdominal fat percentage were narrowed sharply to a small interval spanning 5.5 and 3.7 Mb, respectively. The results of the present study showed that using more markers and individuals could decrease the confidence interval of QTL effectively. In the current QTL region, by combining the biological knowledge of genes and the results of a microarray analysis that was performed in divergently selected lean and fat lines, several genes stood out as potential candidate genes.
机译:先前在独特的F(2)人群中报道了鸡染色体1上的体重和腹部脂肪性状的高度显着QTL。这项研究的目的是确认和完善QTL的位置。与以前的实验相比,该研究增加了8个新科,包括家谱中的所有动物,并对9个微卫星标记进行了基因分型,其中包括6个新标记。进行了连锁分析。连锁分析的结果表明,体重和腹部脂肪百分比的置信区间急剧缩小到一个较小的区间,分别为5.5 Mb和3.7 Mb。本研究结果表明,使用更多的标记物和个体可以有效地减少QTL的置信区间。在当前的QTL区域中,通过结合基因的生物学知识和在不同选择的瘦肉和脂肪品系中进行的微阵列分析结果,几个基因成为了潜在的候选基因。

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