Genome‐scale modeling and in silico analysis of ethanologenic bacteria Zymomonas mobilis

• DOI: 10.1002/bit.22965
• Publication Date: 2010-10-21T13:04:25Z
• Authors: Hanifah Widiastuti; Jae Young Kim; Suresh Selvarasu; Iftekhar A. Karimi; Hyungtae Kim; Jeong‐Sun Seo; Dong‐Yup Lee
• Keywords: Zymomonas mobilis; Metabolic Engineering; Metabolic network; Ethanol Fermentation

Bioethanol has been recognized as a potential alternative energy source. Among various ethanol-producing microbes, Zymomonas mobilis acquired special attention due to its higher ethanol yield and tolerance. However, cellular metabolism in Z. remains unclear, hindering practical application for bioethanol production. To elucidate such physiological characteristics, we reconstructed validated genome-scale metabolic network (iZM363) of ATCC31821 (ZM4) based on annotated genome biochemical information. The phenotypic behaviors states predicted by our model were highly consistent with the experimental observations ZM4 strain growing glucose well NMR-measured intracellular fluxes an engineered utilizing glucose, fructose, xylose. Subsequent comparative analysis Escherichia coli Saccharomyces cerevisiae gene essentiality flux coupling analyses have also confirmed functional role pdc adh genes ethanologenic activity mobilis, thus leading better understanding this natural producer. In future, current could be employed identify cell engineering targets, thereby enhancing productivity mobilis.