Retention of induced mutations in a Drosophila reverse-genetic resource

被引:26
作者
Cooper, Jennifer L. [1 ,2 ]
Greene, Elizabeth A. [1 ]
Till, Bradley J. [1 ]
Codomo, Christine A. [1 ]
Wakimoto, Barbara T. [3 ]
Henikoff, Steven [1 ,2 ]
机构
[1] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA
[2] Fred Hutchinson Canc Res Ctr, Howard Hughes Med Inst, Seattle, WA 98107 USA
[3] Univ Washington, Dept Biol, Seattle, WA 98195 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
D O I
10.1534/genetics.108.092437
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Targeting induced local lesions in genomes (TILLING) is a reverse-genetic method for identifying point mutations in chemically mutagenized populations. For functional genomics, it is ideal to have a stable collection of heavily mutagenized lines that can be screened over an extended period of time. However, long-term storage is impractical for Drosophila, so mutant strains must be maintained by continual propagation of live cultures. Here we evaluate a strategy in which ethylmethane sulfonate (EMS) mutagenized chromosomes were maintained as heterozygotes with balancer chromosomes for > 100 generations before screening. The strategy yielded a spectrum of point mutations similar to those found in previous studies of EMS-induced mutations, as well as 2.4% indels (insertions and deletions). Our analysis of 1887 point mutations In 148 targets showed evidence for selection against deleterious lesions and differential retention of lesions among targets on the basis of their position relative to balancer breakpoints, leading to a broad distribution of mutational densities. Despite selection and differential retention, the success of a users funded service based on screening a large collection several years after mutagenesis indicates sufficient stability for use as a long-term reverse-genetic resource. Our study has implications for the use of balancer chromosomes to maintain mutant lines and provides the first large-scale quantitative assessment of the limitations of using breeding populations for repositories of genetic variability.
引用
收藏
页码:661 / 667
页数:7
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