许多具有轻微加性效应的qtl与鸡两个选择系之间的生长差异有关。

Lina Jacobsson, Hee-Bok Park, Per Wahlberg, Robert Fredriksson, Miguel Perez-Enciso, Paul B Siegel, Leif Andersson
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引用次数: 121

摘要

通过56日龄体重的不同选择,从单一创始群体发展出两个生长选择系。经过40多代的选择,它们在选择年龄时的体重相差9倍,在生长速度、食欲、脂肪沉积和代谢特征上也有很大差异。我们在这些系之间产生了一个大的交叉,包括800多只F2鸟。QTL定位显示13个影响生长的位点。最引人注目的观察结果是,在所有情况下,高重系中的等位基因都与生长增强有关,但使用标准QTL模型(1.3-3.1%),每个位点只能解释一小部分表型方差。这一结果与我们之前的研究结果形成鲜明对比,在之前的研究中,我们报道了红丛林鸡和白来窝鸡成年体大小的两倍差异是由少数具有大加性效应的qtl来解释的。此外,没有检测到厌食症或抗体应答的qtl,尽管这些性状在始祖系之间存在很大差异。结果是一个很好的例子,在明显缺乏任何具有大表型效应的单个位点的情况下,种群之间发生了巨大的表型差异。这项研究强调了在多因子性状的遗传研究中需要强有力的实验设计。如果使用不那么强大的设计(例如,大约1 / 2),QTL根本不可能达到全基因组意义。200个F2个体),而不考虑所选性状的创始系之间的9倍表型差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Many QTLs with minor additive effects are associated with a large difference in growth between two selection lines in chickens.

Two growth-selected lines in chickens have been developed from a single founder population by divergent selection for body weight at 56 days of age. After more than 40 generations of selection they show a nine-fold difference in body weight at selection age and large differences in growth rate, appetite, fat deposition and metabolic characteristics. We have generated a large intercross between these lines comprising more than 800 F2 birds. QTL mapping revealed 13 loci affecting growth. The most striking observation was that the allele in the high weight line in all cases was associated with enhanced growth, but each locus explained only a small proportion of the phenotypic variance using a standard QTL model (1.3-3.1%). This result is in sharp contrast to our previous study where we reported that the two-fold difference in adult body size between the red junglefowl and White Leghorn domestic chickens is explained by a small number of QTLs with large additive effects. Furthermore, no QTLs for anorexia or antibody response were detected despite large differences for these traits between the founder lines. The result is an excellent example where a large phenotypic difference between populations occurs in the apparent absence of any single locus with large phenotypic effects. The study underscores the need for powerful experimental designs in genetic studies of multifactorial traits. No QTL at all would have reached genome-wide significance using a less powerful design (e.g. approx. 200 F2 individuals) regardless of the nine-fold phenotypic difference between the founder lines for the selected trait.

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