文摘
A computational procedure for identifying the minimal set of metabolic reactionscapable of supporting various growth rates on different substrates is introduced andapplied to a flux balance model of the Escherichia coli metabolic network. This taskis posed mathematically as a generalized network optimization problem. The minimalreaction sets capable of supporting specified growth rates are determined for twodifferent uptake conditions: (i) limiting the uptake of organic material to a singleorganic component (e.g., glucose or acetate) and (ii) allowing the importation of anymetabolite with available cellular transport reactions. We find that minimal reactionnetwork sets are highly dependent on the uptake environment and the growthrequirements imposed on the network. Specifically, we predict that the E. coli network,as described by the flux balance model, requires 224 metabolic reactions to supportgrowth on a glucose-only medium and 229 for an acetate-only medium, while only122 reactions enable growth on a specially engineered growth medium.