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利用连续培养中的竞争实验对酵母基因功能进行定量分析。

Quantitative analysis of yeast gene function using competition experiments in continuous culture.

作者信息

Baganz F, Hayes A, Farquhar R, Butler P R, Gardner D C, Oliver S G

机构信息

Department of Biomolecular Sciences, UMIST, Manchester, U.K.

出版信息

Yeast. 1998 Nov;14(15):1417-27. doi: 10.1002/(SICI)1097-0061(199811)14:15<1417::AID-YEA334>3.0.CO;2-N.

Abstract

One possible route to the evaluation of gene function is a quantitative approach based on the concepts of metabolic control analysis (MCA). An important first step in such an analysis is to determine the effect of deleting individual genes on the growth rate (or fitness) of S. cerevisiae. Since the specific growth-rate effects of most genes are likely to be small, we employed competition experiments in chemostat culture to measure the proportion of deletion mutants relative to that of a standard strain by using a quantitative PCR method. In this paper, we show that both densitometry and GeneScan analysis can be used with similar accuracy and reproducibility to determine the proportions of (at least) two strains simultaneously, in the range 10-90% of the total cell population. Furthermore, we report on a model competition experiment between two diploid nuclear petite mutants, homozygous for deletions in the cox5a or pet191 genes, and the standard strain (ho::kanMX4/ho::kanMX4) in chemostat cultures under six different physiological conditions. The results indicate that competition experiments is continuous culture are a suitable method to distinguish quantitatively between deletion mutants that qualitatively exhibit the same phenotype.

摘要

评估基因功能的一种可能途径是基于代谢控制分析(MCA)概念的定量方法。这种分析的重要第一步是确定删除单个基因对酿酒酵母生长速率(或适应性)的影响。由于大多数基因的特定生长速率影响可能较小,我们采用恒化器培养中的竞争实验,通过定量PCR方法测量缺失突变体相对于标准菌株的比例。在本文中,我们表明光密度测定法和基因扫描分析都可以以相似的准确性和可重复性用于同时确定(至少)两种菌株在总细胞群体的10%-90%范围内的比例。此外,我们报告了在六种不同生理条件下,在恒化器培养中,cox5a或pet191基因缺失纯合的两个二倍体核小菌落突变体与标准菌株(ho::kanMX4/ho::kanMX4)之间的模型竞争实验。结果表明,连续培养中的竞争实验是一种适用于定量区分定性表现出相同表型的缺失突变体的方法。

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