Wang Tao, Zhan Xiaowei, Bu Chun-Hui, Lyon Stephen, Pratt David, Hildebrand Sara, Choi Jin Huk, Zhang Zhao, Zeng Ming, Wang Kuan-wen, Turer Emre, Chen Zhe, Zhang Duanwu, Yue Tao, Wang Ying, Shi Hexin, Wang Jianhui, Sun Lei, SoRelle Jeff, McAlpine William, Hutchins Noelle, Zhan Xiaoming, Fina Maggy, Gobert Rochelle, Quan Jiexia, Kreutzer McKensie, Arnett Stephanie, Hawkins Kimberly, Leach Ashley, Tate Christopher, Daniel Chad, Reyna Carlos, Prince Lauren, Davis Sheila, Purrington Joel, Bearden Rick, Weatherly Jennifer, White Danielle, Russell Jamie, Sun Qihua, Tang Miao, Li Xiaohong, Scott Lindsay, Moresco Eva Marie Y, McInerney Gerald M, Karlsson Hedestam Gunilla B, Xie Yang, Beutler Bruce
Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX 75390; Quantitative Biomedical Research Center, Department of Clinical Science, University of Texas Southwestern Medical Center, Dallas, TX 75390; and.
Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX 75390;
Proc Natl Acad Sci U S A. 2015 Feb 3;112(5):E440-9. doi: 10.1073/pnas.1423216112. Epub 2015 Jan 20.
With the wide availability of massively parallel sequencing technologies, genetic mapping has become the rate limiting step in mammalian forward genetics. Here we introduce a method for real-time identification of N-ethyl-N-nitrosourea-induced mutations that cause phenotypes in mice. All mutations are identified by whole exome G1 progenitor sequencing and their zygosity is established in G2/G3 mice before phenotypic assessment. Quantitative and qualitative traits, including lethal effects, in single or multiple combined pedigrees are then analyzed with Linkage Analyzer, a software program that detects significant linkage between individual mutations and aberrant phenotypic scores and presents processed data as Manhattan plots. As multiple alleles of genes are acquired through mutagenesis, pooled "superpedigrees" are created to analyze the effects. Our method is distinguished from conventional forward genetic methods because it permits (1) unbiased declaration of mappable phenotypes, including those that are incompletely penetrant (2), automated identification of causative mutations concurrent with phenotypic screening, without the need to outcross mutant mice to another strain and backcross them, and (3) exclusion of genes not involved in phenotypes of interest. We validated our approach and Linkage Analyzer for the identification of 47 mutations in 45 previously known genes causative for adaptive immune phenotypes; our analysis also implicated 474 genes not previously associated with immune function. The method described here permits forward genetic analysis in mice, limited only by the rates of mutant production and screening.
随着大规模平行测序技术的广泛应用,基因定位已成为哺乳动物正向遗传学中的限速步骤。在此,我们介绍一种实时鉴定N-乙基-N-亚硝基脲诱导的、可导致小鼠出现表型的突变的方法。所有突变均通过对G1祖代进行全外显子组测序来鉴定,其纯合性在对G2/G3小鼠进行表型评估之前确定。然后,使用Linkage Analyzer软件程序分析单一个体或多个组合家系中的定量和定性性状,包括致死效应,该软件可检测单个突变与异常表型评分之间的显著连锁关系,并将处理后的数据呈现为曼哈顿图。由于通过诱变获得了基因的多个等位基因,因此创建了汇集的“超级家系”来分析其效应。我们的方法与传统的正向遗传学方法不同,因为它允许(1)无偏地申报可定位的表型,包括那些不完全显性的表型;(2)在进行表型筛选的同时自动鉴定致病突变,而无需将突变小鼠与另一品系杂交并回交;(3)排除与感兴趣的表型无关的基因。我们验证了我们的方法以及Linkage Analyzer在鉴定45个先前已知的导致适应性免疫表型的基因中的47个突变方面的有效性;我们的分析还涉及474个先前与免疫功能无关的基因。本文所述方法允许在小鼠中进行正向遗传分析,仅受突变产生和筛选速率的限制。