Suppr超能文献

三基因合成遗传分析(τ-SGA)技术用于复杂相互作用分析。

Trigenic Synthetic Genetic Array (τ-SGA) Technique for Complex Interaction Analysis.

机构信息

Goodman Cancer Research Centre, McGill University, Montreal, QC, Canada.

The Donnelly Centre, Toronto, ON, Canada.

出版信息

Methods Mol Biol. 2021;2212:377-400. doi: 10.1007/978-1-0716-0947-7_23.

Abstract

Complex genetic interactions occur when mutant alleles of multiple genes combine to elicit an unexpected phenotype, which could not be predicted given the expectation based on the combination of phenotypes associated with individual mutant alleles. Trigenic Synthetic Genetic Array (τ-SGA) methodology was developed for the systematic analysis of complex interactions involving combinations of three gene perturbations. With a series of replica pinning steps of the τ-SGA procedure, haploid triple mutants are constructed through automated mating and meiotic recombination. For example, a double-mutant query strain carrying two mutant alleles of interest, such as a deletion allele of a nonessential gene and a conditional temperature-sensitive allele of an essential gene, is crossed to an input array of yeast mutants, such as the diagnostic array set of ~1200 mutants, to generate an output array of triple mutants. The colony-size measurements of the resulting triple mutants are used to estimate cellular fitness and quantify trigenic interactions by incorporating corresponding single- and double-mutant fitness estimates. Trigenic interaction networks can be further analyzed for functional modules using various clustering and enrichment analysis tools. Complex genetic interactions are rich in functional information and provide insight into the genotype-to-phenotype relationship, genome size, and speciation.

摘要

当多个基因的突变等位基因结合在一起产生意想不到的表型时,就会发生复杂的遗传相互作用,而这种表型不能仅根据单个突变等位基因相关表型的组合来预测。三基因合成遗传阵列(τ-SGA)方法学是为系统分析涉及三个基因干扰组合的复杂相互作用而开发的。通过一系列的 τ-SGA 程序的复制钉扎步骤,通过自动化交配和减数分裂重组构建了三倍体单倍体突变体。例如,携带两个感兴趣的突变等位基因的双突变体查询株,例如非必需基因的缺失等位基因和必需基因的条件温度敏感等位基因,与酵母突变体输入阵列(例如约 1200 个突变体的诊断阵列集)交叉,以生成三突变体输出阵列。通过将相应的单突变体和双突变体适应度估计值纳入其中,对产生的三突变体的菌落大小测量值进行估计,以量化三基因相互作用并量化三基因相互作用。可以使用各种聚类和富集分析工具进一步分析三基因相互作用网络,以寻找功能模块。复杂的遗传相互作用富含功能信息,并深入了解基因型与表型的关系、基因组大小和物种形成。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验