< Back to Article

The Ability of Flux Balance Analysis to Predict Evolution of Central Metabolism Scales with the Initial Distance to the Optimum

Figure 1

Evolution of metabolic fluxes and measures of optimality and predictability.

We consider three ways to analyze changes in metabolism that relate an ancestor (Anc, blue) to an evolved isolate (Ei, green) in regard to an FBA-predicted optimum (Opt, red). A) Evolution of metabolic fluxes can be evaluated from the perspective of changes in proximity to the theoretical maximum for a given optimality criterion (Δ% Optimality). B) A vector of flux ratios defines a position in multi-dimensional flux space. One can then consider the relative Euclidian distance of a given evolved population in this space from its optimum (DEO) compared to that of an ancestor from its optimum (DAO; plotted as log(DEO/DAO)). C) At the most detailed level, one can compare the FBA-predicted value for a given flux ratio versus that observed via 13C labeling.

Figure 1