title: Metabolite essentiality elucidates robustness of Escherichia coli metabolism.
abstract: Complex biological systems are very robust to genetic and environmental changes at all levels of organization. Many biological functions of Escherichia coli metabolism can be sustained against single-gene or even multiple-gene mutations by using redundant or alternative pathways. Thus, only a limited number of genes have been identified to be lethal to the cell. In this regard, the reaction-centric gene deletion study has a limitation in understanding the metabolic robustness. Here, we report the use of flux-sum, which is the summation of all incoming or outgoing fluxes around a particular metabolite under pseudo-steady state conditions, as a good conserved property for elucidating such robustness of E. coli from the metabolite point of view. The functional behavior, as well as the structural and evolutionary properties of metabolites essential to the cell survival, was investigated by means of a constraints-based flux analysis under perturbed conditions. The essential metabolites are capable of maintaining a steady flux-sum even against severe perturbation by actively redistributing the relevant fluxes. Disrupting the flux-sum maintenance was found to suppress cell growth. This approach of analyzing metabolite essentiality provides insight into cellular robustness and concomitant fragility, which can be used for several applications, including the development of new drugs for treating pathogens.
authors: Center for Systems and Synthetic Biotechnology, Institute for the BioCentury, Department of Physics, BioProcess Engineering Research Center, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea.
authors: Pan-Jun
authors: PJ
authors: Kim
authors: Dong-Yup
authors: DY
authors: Lee
authors: Tae Yong
authors: TY
authors: Kim
authors: Kwang Ho
authors: KH
authors: Lee
authors: Hawoong
authors: H
authors: Jeong
authors: Sang Yup
authors: SY
authors: Lee
authors: Sunwon
authors: S
authors: Park
mesh_terms: D005075:Biological Evolution; D004926:Escherichia coli / Q000378:metabolism*; D010641:Phenotype
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