Network identification and flux quantification in the central metabolism of Saccharomyces cerevisiae under different conditions of glucose repression

被引:272
作者
Gombert, AK [1 ]
dos Santos, MM [1 ]
Christensen, B [1 ]
Nielsen, J [1 ]
机构
[1] Tech Univ Denmark, Dept Biotechnol, Ctr Proc Biotechnol, DK-2800 Lyngby, Denmark
关键词
D O I
10.1128/JB.183.4.1441-1451.2001
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The network structure and the metabolic fluxes in central carbon metabolism were characterized in aerobically grown cells of Saccharomyces cerevisiae. The cells were grown under both high and low glucose concentrations, i.e,, either in a chemostat at steady state,vith a specific growth rate of 0.1 h(-1) or in a batch culture with a specific growth rate of 0.37 h(-1). Experiments were carried out using [1-C-13]glucose as the limiting substrate, and the resulting summed fractional labelings of intracellular metabolites were measured by gas chromatography coupled to mass spectrometry. The data were used as inputs to a flux estimation routine that involved appropriate mathematical modelling of the central carbon metabolism of S. cerevisiae. The results showed that the analysis is very robust, and it was possible to quantify the fluxes in the central carbon metabolism under both growth conditions. In the batch culture, 16.2 of every 100 molecules of glucose consumed by the cells entered the pentose-phosphate pathway, whereas the same relative flux was 44.2 per 100 molecules in the chemostat. The tricarboxylic acid cycle does not operate as a cycle in batch-growing cells, in contrast to the chemostat condition. Quantitative evidence was also found for threonine aldolase and malic enzyme activities, in accordance with published data. Disruption of the MIG1 gene did not cause changes in the metabolic network structure or in the flux pattern.
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收藏
页码:1441 / 1451
页数:11
相关论文
共 47 条
  • [1] Identification and characterization of MAE1, the Saccharomyces cerevisiae structural gene encoding mitochondrial malic enzyme
    Boles, E
    de Jong-Gubbels, P
    Pronk, JT
    [J]. JOURNAL OF BACTERIOLOGY, 1998, 180 (11) : 2875 - 2882
  • [2] BRUINENBERG PM, 1983, J GEN MICROBIOL, V129, P953
  • [3] Glucose repression in yeast
    Carlson, M
    [J]. CURRENT OPINION IN MICROBIOLOGY, 1999, 2 (02) : 202 - 207
  • [4] Chen SP, 1997, J BIOL CHEM, V272, P10839
  • [5] Christensen B, 2000, Adv Biochem Eng Biotechnol, V66, P209
  • [6] Christensen B, 2000, BIOTECHNOL BIOENG, V68, P652, DOI 10.1002/(SICI)1097-0290(20000620)68:6<652::AID-BIT8>3.0.CO
  • [7] 2-J
  • [8] Isotopomer Analysis Using GC-MS
    Christensen, Bjarke
    Nielsen, Jens
    [J]. METABOLIC ENGINEERING, 1999, 1 (04) : 282 - 290
  • [9] Classification and Sensitivity Analysis of a Proposed Primary Metabolic Reaction Network for Streptomyces Lividans
    Daae, Elisabeth B.
    Ison, Andrew P.
    [J]. METABOLIC ENGINEERING, 1999, 1 (02) : 153 - 165
  • [10] Functional analysis of 150 deletion mutants in Saccharomyces cerevisiae by a systematic approach
    Entian, KD
    Schuster, T
    Hegemann, JH
    Becher, D
    Feldmann, H
    Güldener, U
    Götz, R
    Hansen, M
    Hollenberg, CP
    Jansen, G
    Kramer, W
    Klein, S
    Kötter, P
    Kricke, J
    Launhardt, H
    Mannhaupt, G
    Maierl, A
    Meyer, P
    Mewes, W
    Munder, T
    Niedenthal, RK
    Rad, MR
    Röhmer, A
    Römer, A
    Rose, M
    Schäfer, B
    Siegler, ML
    Vetter, J
    Wilhelm, N
    Wolf, K
    Zimmermann, FK
    Zollner, A
    Hinnen, A
    [J]. MOLECULAR AND GENERAL GENETICS, 1999, 262 (4-5): : 683 - 702