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Metabolic Capabilities of Escherichia coli: I. Synthesis of Biosynthetic Precursors and Cofactors

dc.contributor.authorVarma, Amiten_US
dc.contributor.authorPalsson, Bernhard Øen_US
dc.date.accessioned2006-04-10T15:28:00Z
dc.date.available2006-04-10T15:28:00Z
dc.date.issued1993-12-21en_US
dc.identifier.citationVarma, Amit, Palsson, Bernhard O. (1993/12/21)."Metabolic Capabilities of Escherichia coli: I. Synthesis of Biosynthetic Precursors and Cofactors." Journal of Theoretical Biology 165(4): 477-502. <http://hdl.handle.net/2027.42/30386>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WMD-45PTKYG-2/2/c7869d7643e22cf7171e983af702254ben_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30386
dc.description.abstractMetabolism of living cells converts substrates into metabolic energy, redox potential and metabolic end products that are essential to maintain cellular function. The flux distribution among the various biochemical pathways is determined by the kinetic properties of enzymes which are subject to strict regulatory control. Simulation of metabolic behavior therefore requires the complete knowledge of biochemical pathways, enzyme kinetics as well as their regulation. Unfortunately, complete kinetic and regulatory information is not available for microbial cells, thus preventing accurate dynamic simulation of their metabolic behavior. However, it is possible to define wider limits on metabolic behavior based solely on flux balances of biochemical pathways. We present here comprehensive information about the catabolic pathways of the bacterium Escherichia coli. Using this biochemical database, we formulate a stoichiometric model of the bacterial network of fueling reactions. After logical structural reduction, the network consists of 53 metabolic fluxes and 30 metabolites. The solution space of this under-determined system of equations presents the bounds of metabolic flux distribution that the bacterial cell can achieve. We use specific objective functions and linear optimization to investigate the capability of E. coli catabolism to maximally produce the 12 biosynthetic precursors and three key cofactors within this solution space. For the three cofactors, the maximum yields are calculated to be 18[middle dot]67 ATP, 11[middle dot]6 NADH and 11 NADPH per glucose molecule, respectively. The yields of NADH and NADPH are less than 12 owing to the energy costs of importing glucose. These constraints are made explicit by the interpretation of shadow prices. The optimal yields of the 12 biosynthetic precursors are computed. Four of the 12 precursors (3-phosphoglycerate, phosphoenolpyruvate, pyruvate and oxaloacetate) can be made by E. coli with complete carbon conversion. Conversely, none of the sugar monophosphates can be made with 100% carbon conversion and analysis of the shadow prices reveals that this conversion is constrained by the energy cost of importing glucose. Three of the 12 precursors (acetyl-coA, [alpha]-ketoglutarate, and succinyl-coA) cannot be made with full carbon conversion owing to stoichiometric constraints; there is no route to these compounds without carrying out a decarboxylation reaction. Metabolite flux balances and linear optimization have thus been used to determine the catabolic capabilities of E. coli .en_US
dc.format.extent871814 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleMetabolic Capabilities of Escherichia coli: I. Synthesis of Biosynthetic Precursors and Cofactorsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.contributor.affiliationumDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.identifier.pmid21322280en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30386/1/0000004.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1006/jtbi.1993.1202en_US
dc.identifier.sourceJournal of Theoretical Biologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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