Phenotypic evolution from genetic polymorphisms in a radial network architecture.
Phenotypic evolution from genetic polymorphisms in a radial network architecture.
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DOI：
10.1186/1741-7007-5-50
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发表时间：
2007-11-14
期刊：
影响因子：
5.4
通讯作者：
Carlborg O
中科院分区：
文献类型：
--
作者：
Le Rouzic A;Siegel PB;Carlborg O
数量性状的遗传结构影响对自然选择或人工选择的表型反应。遗传作图研究的主要目标之一是确定复杂性状背后的遗传因素，并了解它们如何影响表型表达。目前，我们擅长识别和定位影响较大的单个基因座，但在描述更复杂的遗传结构方面存在空白。虽然已经报道了连接基因的大型网络，但几乎完全缺乏关于这些网络中的多态性如何促成表型变异和变化的信息。到目前为止，我们的大多数理解来自理论，基于模型的研究，仍然很难评估他们的结论有多现实， 缺乏经验支持。先前的一项研究提供的证据表明，两个不同选择的鸡系之间的八周体重差异的近一半是由四个基因座组成的“径向”网络的结果（一个中心基因座与三个“径向”基因座相互作用，反过来，只与中心基因座相互作用）。在这里，我们研究表型变化和遗传多态性之间的关系，在这个经验检测网络。我们使用无模型的方法来研究，通过基于个人的模拟，这种多态性和上位性遗传结构的动态特性。这项研究为上位性如何改变选择反应、缓冲和揭示导致遗传变异逐步释放的主要基因座的影响提供了新的见解。我们还说明了从观察到的选择反应预测遗传结构的困难，并讨论了可能导致误导性结论的基础遗传结构的数量性状位点（QTL）的实验在选定的人口的机制。考虑到分子（QTL）和表型（选择反应）的数据，如在这项工作中所建议的，提供了额外的见解参与选择反应的遗传机制。这种遗传结构的解剖和深入研究其能力，以促进短期或长期的选择反应是一个重要的一步，以更好地了解复杂的性状的遗传基础，因此，种群的进化特性。
The genetic architecture of a quantitative trait influences the phenotypic response to natural or artificial selection. One of the main objectives of genetic mapping studies is to identify the genetic factors underlying complex traits and understand how they contribute to phenotypic expression. Presently, we are good at identifying and locating individual loci with large effects, but there is a void in describing more complex genetic architectures. Although large networks of connected genes have been reported, there is an almost complete lack of information on how polymorphisms in these networks contribute to phenotypic variation and change. To date, most of our understanding comes from theoretical, model-based studies, and it remains difficult to assess how realistic their conclusions are as they lack empirical support. A previous study provided evidence that nearly half of the difference in eight-week body weight between two divergently selected lines of chickens was a result of four loci organized in a 'radial' network (one central locus interacting with three 'radial' loci that, in turn, only interacted with the central locus). Here, we study the relationship between phenotypic change and genetic polymorphism in this empirically detected network. We use a model-free approach to study, through individual-based simulations, the dynamic properties of this polymorphic and epistatic genetic architecture. The study provides new insights to how epistasis can modify the selection response, buffer and reveal effects of major loci leading to a progressive release of genetic variation. We also illustrate the difficulty of predicting genetic architecture from observed selection response, and discuss mechanisms that might lead to misleading conclusions on underlying genetic architectures from quantitative trait locus (QTL) experiments in selected populations. Considering both molecular (QTL) and phenotypic (selection response) data, as suggested in this work, provides additional insights into the genetic mechanisms involved in the response to selection. Such dissection of genetic architectures and in-depth studies of their ability to contribute to short- or long-term selection response represents an important step towards a better understanding of the genetic bases of complex traits and, consequently, of the evolutionary properties of populations.
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影响因子：
2.9
作者：
HARD, JJ;BRADSHAW, WE;HOLZAPFEL, CM
通讯作者：
HOLZAPFEL, CM
影响因子：
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作者：
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影响因子：
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作者：
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影响因子：
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作者：
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影响因子：
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作者：
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GOODNIGHT, CJ