Impact of the solvent capacity constraint on E. coli metabolism

Alexei Vazquez, Qasim K. Beg, Marcio A. deMenezes, Jason Ernst, Ziv Bar-Joseph, Albert László Barabási, László G. Boros, Zoltán N. Oltvai

Research output: Contribution to journalArticlepeer-review

89 Scopus citations


Background: Obtaining quantitative predictions for cellular metabolic activities requires the identification and modeling of the physicochemical constraints that are relevant at physiological growth conditions. Molecular crowding in a cell's cytoplasm is one such potential constraint, as it limits the solvent capacity available to metabolic enzymes. Results: Using a recently introduced flux balance modeling framework (FBAwMC) here we demonstrate that this constraint determines a metabolic switch in E. coli cells when they are shifted from low to high growth rates. The switch is characterized by a change in effective optimization strategy, the excretion of acetate at high growth rates, and a global reorganization of E. coli metabolic fluxes, the latter being partially confirmed by flux measurements of central metabolic reactions. Conclusion: These results implicate the solvent capacity as an important physiological constraint acting on E. coli cells operating at high metabolic rates and for the activation of a metabolic switch when they are shifted from low to high growth rates. The relevance of this constraint in the context of both the aerobic ethanol excretion seen in fast growing yeast cells (Crabtree effect) and the aerobic glycolysis observed in rapidly dividing cancer cells (Warburg effect) should be addressed in the future.

Original languageEnglish (US)
Article number7
JournalBMC Systems Biology
StatePublished - Jan 23 2008
Externally publishedYes

Bibliographical note

Funding Information:
We thank N. Gerry and M. Lenburg at Boston University for their help with microarray experiments and A. Kochegarov at SiDMAP, LLC for metabolic flux measurements. Research at the University of Notre Dame and at the University of Pittsburgh was supported by National Institute of Health Grant # U01 AI070499.


Dive into the research topics of 'Impact of the solvent capacity constraint on E. coli metabolism'. Together they form a unique fingerprint.

Cite this