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Background   Actinobacillus succinogenes  is a promising bacterial catalyst for the bioproduction of succinic acid from low-cost raw materials. In this work, a genome-scale metabolic model was reconstructed and used to assess the metabolic capabilities of this microorganism under producing conditions.    Results  The model,  i BP722, was reconstructed based on the functional reannotation of the complete genome sequence of  A. succinogenes  130Z and manual inspection of metabolic pathways, covering 1072 enzymatic reactions associated with 722 metabolic genes that involve 713 metabolites. The highly curated model was effective in capturing the growth of  A. succinogenes  on various carbon sources, as well as the SA production under various growth conditions with fair agreement between experimental and predicted data. Calculated flux distributions under different conditions show that a number of metabolic pathways are affected by the activity of some metabolic enzymes at key nodes in metabolism, including the transport mechanism of carbon sources and the ability to fix carbon dioxide.    Conclusions  The established genome-scale metabolic model can be used for model-driven strain design and medium alteration to improve succinic acid yields.    Electronic supplementary material  The online version of this article (10.1186/s12918-018-0585-7) contains supplementary material, which is available to authorized users.

Reconstruction of a genome-scale metabolic model for Actinobacillus succinogenes 130Z