Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity

被引:286
作者
Beg, Q. K.
Vazquez, A.
Ernst, J.
de Menezes, M. A.
Bar-Joseph, Z.
Barabasi, A.-L.
Oltvai, Z. N.
机构
[1] Inst Adv Study, Simons Ctr Syst Biol, Princeton, NJ 08540 USA
[2] Univ Pittsburgh, Dept Pathol, Pittsburgh, PA 15261 USA
[3] Carnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA 15217 USA
[4] Univ Fed Fluminense, Inst Fis, BR-24210 Rio De Janeiro, Brazil
[5] Univ Notre Dame, Dept Phys, Notre Dame, IN 46556 USA
[6] Univ Notre Dame, Ctr Complex Networks Res, Notre Dame, IN 46556 USA
关键词
flux balance analysis; metabolic networks; systems biology;
D O I
10.1073/pnas.0609845104
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
The influence of the high intracellular concentration of macromolecules on cell physiology is increasingly appreciated, but its impact on system-level cellular functions remains poorly quantified. To assess its potential effect, here we develop a flux balance model of Escherichia coli cell metabolism that takes into account a systems-level constraint for the concentration of enzymes catalyzing the various metabolic reactions in the crowded cytoplasm. We demonstrate that the model's predictions for the relative maximum growth rate of wild-type and mutant E. coli cells in single substrate-limited media, and the sequence and mode of substrate uptake and utilization from a complex medium are in good agreement with subsequent experimental observations. These results suggest that molecular crowding represents a bound on the achievable functional states of a metabolic network, and they indicate that models incorporating this constraint can systematically identify alterations in cellular metabolism activated in response to environmental change.
引用
收藏
页码:12663 / 12668
页数:6
相关论文
共 37 条
[1]   Growth of Escherichia coli MG1655 on LB medium:: monitoring utilization of sugars, alcohols, and organic acids with transcriptional microarrays [J].
Baev, Mark V. ;
Baev, Dmitry ;
Radek, Agnes Jancso ;
Campbell, John W. .
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2006, 71 (03) :310-316
[2]   Topological units of environmental signal processing in the transcriptional regulatory network of Escherichia coli [J].
Balázsi, G ;
Barabási, AL ;
Oltvai, ZN .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (22) :7841-7846
[3]  
Bar-Joseph Ziv, 2001, Bioinformatics, V17, pS22
[4]   Network biology:: Understanding the cell's functional organization [J].
Barabási, AL ;
Oltvai, ZN .
NATURE REVIEWS GENETICS, 2004, 5 (02) :101-U15
[5]   Energy balance for analysis of complex metabolic networks [J].
Beard, DA ;
Liang, SC ;
Qian, H .
BIOPHYSICAL JOURNAL, 2002, 83 (01) :79-86
[6]   TOTAL CELL PROTEIN-CONCENTRATION AS AN EVOLUTIONARY CONSTRAINT ON THE METABOLIC CONTROL DISTRIBUTION IN CELLS [J].
BROWN, GC .
JOURNAL OF THEORETICAL BIOLOGY, 1991, 153 (02) :195-203
[7]   Transcriptional regulation in constraints-based metabolic models of Escherichia coli [J].
Covert, MW ;
Palsson, BO .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2002, 277 (31) :28058-28064
[8]   Multiple knockout analysis of genetic robustness in the yeast metabolic network [J].
Deutscher, David ;
Meilijson, Isaac ;
Kupiec, Martin ;
Ruppin, Eytan .
NATURE GENETICS, 2006, 38 (09) :993-998
[9]  
Egli T, 1995, ADV MICROB ECOL, V14, P305
[10]   Cluster analysis and display of genome-wide expression patterns [J].
Eisen, MB ;
Spellman, PT ;
Brown, PO ;
Botstein, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1998, 95 (25) :14863-14868