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利用协作杂交快速鉴定主效基因。

Rapid identification of major-effect genes using the collaborative cross.

作者信息

Ram Ramesh, Mehta Munish, Balmer Lois, Gatti Daniel M, Morahan Grant

机构信息

Centre for Diabetes Research, Harry Perkins Institute of Medical Research, Nedlands 6009, WA, Australia Centre of Medical Research, University of Western Australia, Nedlands 6009, WA, Australia.

The Jackson Laboratory, Bar Harbor, ME 04609.

出版信息

Genetics. 2014 Sep;198(1):75-86. doi: 10.1534/genetics.114.163014.

Abstract

The Collaborative Cross (CC) was designed to facilitate rapid gene mapping and consists of hundreds of recombinant inbred lines descended from eight diverse inbred founder strains. A decade in production, it can now be applied to mapping projects. Here, we provide a proof of principle for rapid identification of major-effect genes using the CC. To do so, we chose coat color traits since the location and identity of many relevant genes are known. We ascertained in 110 CC lines six different coat phenotypes: albino, agouti, black, cinnamon, and chocolate coat colors and the white-belly trait. We developed a pipeline employing modifications of existing mapping tools suitable for analyzing the complex genetic architecture of the CC. Together with analysis of the founders' genome sequences, mapping was successfully achieved with sufficient resolution to identify the causative genes for five traits. Anticipating the application of the CC to complex traits, we also developed strategies to detect interacting genes, testing joint effects of three loci. Our results illustrate the power of the CC and provide confidence that this resource can be applied to complex traits for detection of both qualitative and quantitative trait loci.

摘要

协作杂交(CC)旨在促进快速基因定位,它由源自八个不同近交奠基品系的数百个重组近交系组成。经过十年的培育,现在它可应用于基因定位项目。在此,我们提供了一个使用CC快速鉴定主效基因的原理验证。为此,我们选择了毛色性状,因为许多相关基因的位置和身份是已知的。我们在110个CC系中确定了六种不同的毛色表型:白化、刺豚鼠色、黑色、肉桂色、巧克力色毛色以及白腹性状。我们开发了一种流程,采用对现有定位工具的改进,以适用于分析CC复杂的遗传结构。结合对奠基品系基因组序列的分析,成功实现了具有足够分辨率的定位,以鉴定五个性状的致病基因。预计CC将应用于复杂性状,我们还开发了检测相互作用基因的策略,测试了三个位点的联合效应。我们的结果说明了CC的强大作用,并让人相信这种资源可应用于复杂性状,以检测定性和定量性状位点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d743/4174955/5fd33a4404d6/75fig1.jpg

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