Literature DB >> 17949842

Physiological characterization of glucose repression in the strains with SNF1 and SNF4 genes deleted.

Renata Usaite1, Jens Nielsen, Lisbeth Olsson.   

Abstract

We investigated the effect of Snf1 kinase and its regulatory subunit Snf4 on the regulation of glucose and galactose metabolism in the yeast Saccharomyces cerevisiae by physiologically characterizing Deltasnf1, Deltasnf4 and Deltasnf1Deltasnf4 in CEN.PK background in glucose and glucose-galactose-mixture batch cultivations. The main result of this study showed that delayed induction of galactose catabolism was SNF1 or SNF4 gene deletion specific. In comparison to the reference strain, growth delay on galactose was found to last 2.4 times (7 h), 3.1 times (10.5 h) and 9.6 times (43 h) longer for the Deltasnf4, Deltasnf1 and Deltasnf1Deltasnf4 strains, respectively. The maximum specific growth rates on galactose were determined to be two to three times lower for the recombinant strains compared to the reference strain (0.13 h(-1)) and were found to be 0.07, 0.08 and 0.04 h(-1) for the Deltasnf1, Deltasnf4 and Deltasnf1Deltasnf4 strains, respectively. The study showed that Snf1 kinase was not solely responsible for the derepression of galactose metabolism.

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Year:  2007        PMID: 17949842     DOI: 10.1016/j.jbiotec.2007.09.001

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  8 in total

1.  Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct versus Indirect Kinase Substrates.

Authors:  Evgeny Kanshin; Sébastien Giguère; Cheng Jing; Mike Tyers; Pierre Thibault
Journal:  Mol Cell Proteomics       Date:  2017-03-06       Impact factor: 5.911

2.  Characterization of global yeast quantitative proteome data generated from the wild-type and glucose repression saccharomyces cerevisiae strains: the comparison of two quantitative methods.

Authors:  Renata Usaite; James Wohlschlegel; John D Venable; Sung K Park; Jens Nielsen; Lisbeth Olsson; John R Yates Iii
Journal:  J Proteome Res       Date:  2008-01       Impact factor: 4.466

3.  Overexpression of SNF4 and deletions of REG1- and REG2-enhanced maltose metabolism and leavening ability of baker's yeast in lean dough.

Authors:  Xue Lin; Cui-Ying Zhang; Lu Meng; Xiao-Wen Bai; Dong-Guang Xiao
Journal:  J Ind Microbiol Biotechnol       Date:  2018-06-23       Impact factor: 3.346

4.  Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiae.

Authors:  Jie Zhang; Stefania Vaga; Pramote Chumnanpuen; Rahul Kumar; Goutham N Vemuri; Ruedi Aebersold; Jens Nielsen
Journal:  Mol Syst Biol       Date:  2011-11-08       Impact factor: 11.429

5.  Contribution of network connectivity in determining the relationship between gene expression and metabolite concentration changes.

Authors:  Aleksej Zelezniak; Steven Sheridan; Kiran Raosaheb Patil
Journal:  PLoS Comput Biol       Date:  2014-04-24       Impact factor: 4.475

6.  The yeast osmostress response is carbon source dependent.

Authors:  Roja Babazadeh; Petri-Jaan Lahtvee; Caroline B Adiels; Mattias Goksör; Jens B Nielsen; Stefan Hohmann
Journal:  Sci Rep       Date:  2017-04-20       Impact factor: 4.379

7.  Reconstruction of the yeast Snf1 kinase regulatory network reveals its role as a global energy regulator.

Authors:  Renata Usaite; Michael C Jewett; Ana Paula Oliveira; John R Yates; Lisbeth Olsson; Jens Nielsen
Journal:  Mol Syst Biol       Date:  2009-11-03       Impact factor: 11.429

8.  Reconstruction and logical modeling of glucose repression signaling pathways in Saccharomyces cerevisiae.

Authors:  Tobias S Christensen; Ana Paula Oliveira; Jens Nielsen
Journal:  BMC Syst Biol       Date:  2009-01-14
  8 in total

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