Re-examination of metabolic fluxes in Escherichia coli during anaerobic fermentation of glucose using 13C labeling experiments and 2-dimensional nuclear magnetic resonance (NMR) spectroscopy

被引:16
作者
Choudhary, Madhuresh K. [1 ]
Yoon, Jong Moon [1 ]
Gonzalez, Ramon [2 ]
Shanks, Jacqueline V. [1 ]
机构
[1] Iowa State Univ, Dept Chem & Biol Engn, Ames, IA 50011 USA
[2] Rice Univ, Dept Chem & Biomol Engn, Houston, TX 77251 USA
基金
美国国家科学基金会;
关键词
Escherichia coli; identifiability; anaerobic; metabolic flux analysis; CENTRAL CARBON METABOLISM; INTRACELLULAR FLUXES; BACILLUS-SUBTILIS; IN-VIVO; ACETATE; MS; QUANTIFICATION; KNOCKOUT; BACTERIA; MODELS;
D O I
10.1007/s12257-010-0449-5
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Improved design of metabolic flux estimation using mixed label C-13 labeling experiments and identifiability analysis motivated re-examination of metabolic fluxes during anaerobic fermentation in the Escherichia coli. Comprehensive metabolic flux maps were determined by using a mixture of differently labeled glucose and compared to conventional flux maps obtained using extracellular measurements and comprehensive metabolic flux maps obtained using only U-C-13 glucose as the substrate. As expected, conventional flux analysis performs poorly in comparison to C-13-MFA, especially in the Embden-Meyerhof-Parnas (EMP) and pentose phosphate (PP) pathways. Identifiability analysis indicated and experiments confirmed that a mixture of 10% U-C-l3 glucose, 25% 1-C-13 glucose, and 65% naturally labeled glucose significantly improved the statistical quality of all calculated fluxes in the PP pathway, the EMP pathway, the anaplerotic reactions, and the tricarboxylic acid cycle. Modifying the network topology for the presence and absence of the Entner-Doudoroff pathway and the glyoxylate shunt did not affect the value or quality of estimated fluxes significantly. Extracellular measurement of formate production was necessary for the accurate estimation of the fluxes around the formate node.
引用
收藏
页码:419 / 437
页数:19
相关论文
共 46 条
[1]  
[Anonymous], 1983, 1H NUCL MAGNETIC RES
[2]   An improved method for statistical analysis of metabolic flux analysis using isotopomer mapping matrices with analytical expressions [J].
Araúzo-Bravo, MJ ;
Shimizu, K .
JOURNAL OF BIOTECHNOLOGY, 2003, 105 (1-2) :117-133
[3]   Regulation of acetate metabolism by protein phosphorylation in enteric bacteria [J].
Cozzone, AJ .
ANNUAL REVIEW OF MICROBIOLOGY, 1998, 52 :127-164
[4]   Metabolic flux analysis with a comprehensive isotopomer model in Bacillus subtilis [J].
Dauner, M ;
Bailey, JE ;
Sauer, U .
BIOTECHNOLOGY AND BIOENGINEERING, 2001, 76 (02) :144-156
[5]   Metabolic flux responses to pyruvate kinase knockout in Escherichia coli [J].
Emmerling, M ;
Dauner, M ;
Ponti, A ;
Fiaux, J ;
Hochuli, M ;
Szyperski, T ;
Wüthrich, K ;
Bailey, JE ;
Sauer, U .
JOURNAL OF BACTERIOLOGY, 2002, 184 (01) :152-164
[6]   Metabolic flux profiling of Escherichia coli mutants in central carbon metabolism using GC-MS [J].
Fischer, E ;
Sauer, U .
EUROPEAN JOURNAL OF BIOCHEMISTRY, 2003, 270 (05) :880-891
[7]   High-throughput metabolic flux analysis based on gas chromatography-mass spectrometry derived 13C constraints [J].
Fischer, E ;
Zamboni, N ;
Sauer, U .
ANALYTICAL BIOCHEMISTRY, 2004, 325 (02) :308-316
[8]   Large-scale in vivo flux analysis shows rigidity and suboptimal performance of Bacillus subtilis metabolism [J].
Fischer, E ;
Sauer, U .
NATURE GENETICS, 2005, 37 (06) :636-640
[9]   A novel metabolic cycle catalyzes glucose oxidation and anaplerosis in hungry Escherichia coli [J].
Fischer, E ;
Sauer, U .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2003, 278 (47) :46446-46451
[10]   Latent pathway activation and increased pathway capacity enable Escherichia coli adaptation to loss of key metabolic enzymes [J].
Fong, SS ;
Nanchen, A ;
Palsson, BO ;
Sauer, U .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2006, 281 (12) :8024-8033