Literature DB >> 9848233

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

F Baganz1, A Hayes, R Farquhar, P R Butler, D C Gardner, S G Oliver.   

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.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9848233     DOI: 10.1002/(SICI)1097-0061(199811)14:15<1417::AID-YEA334>3.0.CO;2-N

Source DB:  PubMed          Journal:  Yeast        ISSN: 0749-503X            Impact factor:   3.239


  21 in total

1.  Absolute quantification of the glycolytic pathway in yeast: deployment of a complete QconCAT approach.

Authors:  Kathleen M Carroll; Deborah M Simpson; Claire E Eyers; Christopher G Knight; Philip Brownridge; Warwick B Dunn; Catherine L Winder; Karin Lanthaler; Pinar Pir; Naglis Malys; Douglas B Kell; Stephen G Oliver; Simon J Gaskell; Robert J Beynon
Journal:  Mol Cell Proteomics       Date:  2011-09-19       Impact factor: 5.911

2.  Evidence for control of nitrogen metabolism by a START-dependent mechanism in Saccharomyces cerevisiae.

Authors:  B A Bryan; E McGrew; Y Lu; M Polymenis
Journal:  Mol Genet Genomics       Date:  2003-11-27       Impact factor: 3.291

3.  Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains.

Authors:  André B Canelas; Nicola Harrison; Alessandro Fazio; Jie Zhang; Juha-Pekka Pitkänen; Joost van den Brink; Barbara M Bakker; Lara Bogner; Jildau Bouwman; Juan I Castrillo; Ayca Cankorur; Pramote Chumnanpuen; Pascale Daran-Lapujade; Duygu Dikicioglu; Karen van Eunen; Jennifer C Ewald; Joseph J Heijnen; Betul Kirdar; Ismo Mattila; Femke I C Mensonides; Anja Niebel; Merja Penttilä; Jack T Pronk; Matthias Reuss; Laura Salusjärvi; Uwe Sauer; David Sherman; Martin Siemann-Herzberg; Hans Westerhoff; Johannes de Winde; Dina Petranovic; Stephen G Oliver; Christopher T Workman; Nicola Zamboni; Jens Nielsen
Journal:  Nat Commun       Date:  2010       Impact factor: 14.919

4.  Functional genomics: lessons from yeast.

Authors:  Stephen G Oliver
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-01-29       Impact factor: 6.237

5.  Development of Saccharomyces cerevisiae as a model pathogen. A system for the genetic identification of gene products required for survival in the mammalian host environment.

Authors:  A L Goldstein; J H McCusker
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

6.  Correlation between transcript profiles and fitness of deletion mutants in anaerobic chemostat cultures of Saccharomyces cerevisiae.

Authors:  Siew Leng Tai; Ishtar Snoek; Marijke A H Luttik; Marinka J H Almering; Michael C Walsh; Jack T Pronk; Jean-Marc Daran
Journal:  Microbiology       Date:  2007-03       Impact factor: 2.777

7.  Effects of reciprocal chromosomal translocations on the fitness of Saccharomyces cerevisiae.

Authors:  Isabelle Colson; Daniela Delneri; Stephen G Oliver
Journal:  EMBO Rep       Date:  2004-04       Impact factor: 8.807

8.  Hym1p affects cell cycle progression in Saccharomyces cerevisiae.

Authors:  Lydia M Bogomolnaya; Ritu Pathak; Jinbai Guo; Roxhana Cham; Rodolfo Aramayo; Michael Polymenis
Journal:  Curr Genet       Date:  2004-09-10       Impact factor: 3.886

9.  The genetic requirements for fast and slow growth in mycobacteria.

Authors:  Dany J V Beste; Mateus Espasa; Bhushan Bonde; Andrzej M Kierzek; Graham R Stewart; Johnjoe McFadden
Journal:  PLoS One       Date:  2009-04-28       Impact factor: 3.240

10.  Identification of secondary targets of N-containing bisphosphonates in mammalian cells via parallel competition analysis of the barcoded yeast deletion collection.

Authors:  Nicoletta Bivi; Milena Romanello; Richard Harrison; Ian Clarke; David C Hoyle; Luigi Moro; Fulvia Ortolani; Antonella Bonetti; Franco Quadrifoglio; Gianluca Tell; Daniela Delneri
Journal:  Genome Biol       Date:  2009-09-10       Impact factor: 13.583

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.