Home LiteratureArticle Details
PMID: 9848233 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

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

Yeast (Chichester, England) ·Vol. 14 ·No. 15 ·1998-11-00 ·Pages 1417-27

Baganz F, Hayes A, Farquhar R, Butler PR, Gardner DC, Oliver SG

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.

MeSH Terms
Culture Media DNA, Fungal/analysis Densitometry Gene Deletion Genes, Fungal/physiology Mutation Phenotype Polymerase Chain Reaction/methods Reproducibility of Results Saccharomyces cerevisiae/genetics,growth & development,metabolism Sequence Analysis, DNA/instrumentation,methods Software
Chemicals
Culture Media DNA, Fungal
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Baganz F
Department of Biomolecular Sciences, UMIST, Manchester, U.K.
Hayes A
Farquhar R
Butler P R
Gardner D C
Oliver S G
Article Info
Journal
Yeast (Chichester, England)
Abbr.
Yeast
ISSN
0749-503X
Published
1998-11-00
Pages
1417-27
Language
English
Region
England
NLM ID
8607637
Subset
IM
Grants
Wellcome Trust · United Kingdom
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]