Genome based metabolic flux analysis of Ethanoligenens harbinense for enhanced hydrogen production

Ethanoligenens harbinense is a promising hydrogen producing microorganism due to its high inherent hydrogen production rate. Even though the effect of media optimization and inhibitory metabolites has been studied in order to improve the hydrogen productivity of these cultures, the identification of the underlying causes of the observed changes in productivity has not been targeted to date. In this work we present a genome based metabolic flux analysis (MFA) framework, for the comprehensive study of E. harbinense in culture, and the effect of inhibitory metabolites and media composition on its metabolic state. A metabolic model was constructed for E. harbinense based on its annotated genome sequence and proteomic evidence. This model was employed to perform MFA and obtain the intracellular flux distribution under different culture conditions. These results allow us to identify key elements in the metabolism that can be associated to the observed production phenotypes, and that can be potential targets for metabolic engineering in order to enhanced hydrogen production in E. harbinense.

► We present the first genome scale model constructed for Ethanoligenens harbinense. ► Genome based MFA was used to analyze the metabolic state of E. harbinense. ► Ferredoxin availability was identified as the key limiting for hydrogen production. ► Lactate and butyrate production were predicted through our simulations. ► We identified metabolic engineering targets for improving hydrogen yield.