Global organization of metabolic fluxes in the bacterium Escherichia coli

被引:492
作者
Almaas, E
Kovács, B
Vicsek, T
Oltvai, ZN
Barabási, AL
机构
[1] Univ Notre Dame, Dept Phys, Notre Dame, IN 46556 USA
[2] Eotvos Lorand Univ, Biol Phys Dept, H-1117 Budapest, Hungary
[3] Eotvos Lorand Univ, Res Grp HAS, H-1117 Budapest, Hungary
[4] Northwestern Univ, Dept Pathol, Chicago, IL 60611 USA
基金
美国国家科学基金会;
关键词
D O I
10.1038/nature02289
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cellular metabolism, the integrated interconversion of thousands of metabolic substrates through enzyme-catalysed biochemical reactions, is the most investigated complex intracellular web of molecular interactions. Although the topological organization of individual reactions into metabolic networks is well understood(1-4), the principles that govern their global functional use under different growth conditions raise many unanswered questions(5-7). By implementing a flux balance analysis(8-12) of the metabolism of Escherichia coli strain MG1655, here we show that network use is highly uneven. Whereas most metabolic reactions have low fluxes, the overall activity of the metabolism is dominated by several reactions with very high fluxes. E. coli responds to changes in growth conditions by reorganizing the rates of selected fluxes predominantly within this high-flux backbone. This behaviour probably represents a universal feature of metabolic activity in all cells, with potential implications for metabolic engineering.
引用
收藏
页码:839 / 843
页数:5
相关论文
共 29 条
  • [1] [Anonymous], 1976, BIOCH SYSTEMS ANAL S
  • [2] Emergence of scaling in random networks
    Barabási, AL
    Albert, R
    [J]. SCIENCE, 1999, 286 (5439) : 509 - 512
  • [3] Spatial structure of the Internet traffic
    Barthelemy, M
    Gondran, B
    Guichard, E
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2003, 319 : 633 - 642
  • [4] The complete genome sequence of Escherichia coli K-12
    Blattner, FR
    Plunkett, G
    Bloch, CA
    Perna, NT
    Burland, V
    Riley, M
    ColladoVides, J
    Glasner, JD
    Rode, CK
    Mayhew, GF
    Gregor, J
    Davis, NW
    Kirkpatrick, HA
    Goeden, MA
    Rose, DJ
    Mau, B
    Shao, Y
    [J]. SCIENCE, 1997, 277 (5331) : 1453 - +
  • [5] Metabolic flux response to phosphoglucose isomerase knock-out in Escherichia coli and impact of overexpression of the soluble transhydrogenase UdhA
    Canonaco, F
    Hess, TA
    Heri, S
    Wang, TT
    Szyperski, T
    Sauer, U
    [J]. FEMS MICROBIOLOGY LETTERS, 2001, 204 (02) : 247 - 252
  • [6] Pathway alignment: application to the comparative analysis of glycolytic enzymes
    Dandekar, T
    Schuster, S
    Snel, B
    Huynen, M
    Bork, P
    [J]. BIOCHEMICAL JOURNAL, 1999, 343 : 115 - 124
  • [7] The Escherichia coli MG1655 in silico metabolic genotype:: Its definition, characteristics, and capabilities
    Edwards, JS
    Palsson, BO
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (10) : 5528 - 5533
  • [8] Characterizing the metabolic phenotype: A phenotype phase plane analysis
    Edwards, JS
    Ramakrishna, R
    Palsson, BO
    [J]. BIOTECHNOLOGY AND BIOENGINEERING, 2002, 77 (01) : 27 - 36
  • [9] In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data
    Edwards, JS
    Ibarra, RU
    Palsson, BO
    [J]. NATURE BIOTECHNOLOGY, 2001, 19 (02) : 125 - 130
  • [10] Metabolic flux responses to pyruvate kinase knockout in Escherichia coli
    Emmerling, M
    Dauner, M
    Ponti, A
    Fiaux, J
    Hochuli, M
    Szyperski, T
    Wüthrich, K
    Bailey, JE
    Sauer, U
    [J]. JOURNAL OF BACTERIOLOGY, 2002, 184 (01) : 152 - 164