Flux Coupling Analysis of Genome-Scale Metabolic Network Reconstructions

Abstract

In this paper, we introduce the Flux Coupling Finder (FCF) framework for elucidating the topological and flux connectivity features of genome-scale metabolic networks. The framework is demonstrated on genome-scale metabolic reconstructions of Helicobacter pylori, Escherichia coli, and Saccharomyces cerevisiae. The analysis allows one to determine whether any two metabolic fluxes, v₁ and v₂, are (1) directionally coupled, if a non-zero flux for v₁ implies a non-zero flux for v₂ but not necessarily the reverse; (2) partially coupled, if a non-zero flux for v₁ implies a non-zero, though variable, flux for v₂ and vice versa; or (3) fully coupled, if a non-zero flux for v₁ implies not only a non-zero but also a fixed flux for v₂ and vice versa. Flux coupling analysis also enables the global identification of blocked reactions, which are all reactions incapable of carrying flux under a certain condition; equivalent knockouts, defined as the set of all possible reactions whose deletion forces the flux through a particular reaction to zero; and sets of affected reactions denoting all reactions whose fluxes are forced to zero if a particular reaction is deleted. The FCF approach thus provides a novel and versatile tool for aiding metabolic reconstructions and guiding genetic manipulations.