Transomics data-driven, ensemble kinetic modeling for system-level understanding and engineering of the cyanobacteria central metabolism

In silico kinetic modeling is an essential tool for rationally designing metabolically engineered organisms based on a system-level understanding of their regulatory mechanisms. However, an estimation of enzyme parameters has been a bottleneck in the computer simulation of metabolic dynamics. In thi...

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Veröffentlicht in:Metabolic engineering 2019-03, Vol.52, p.273-283
Hauptverfasser: Nishiguchi, Hiroki, Hiasa, Natsuki, Uebayashi, Kiyoka, Liao, James, Shimizu, Hiroshi, Matsuda, Fumio
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Sprache:eng
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Zusammenfassung:In silico kinetic modeling is an essential tool for rationally designing metabolically engineered organisms based on a system-level understanding of their regulatory mechanisms. However, an estimation of enzyme parameters has been a bottleneck in the computer simulation of metabolic dynamics. In this study, the ensemble-modeling approach was integrated with the transomics data to construct kinetic models. Kinetic metabolic models of a photosynthetic bacterium, Synechocystis sp. PCC 6803, were constructed to identify engineering targets for improving ethanol production based on an understanding of metabolic regulatory systems. A kinetic model ensemble was constructed by randomly sampling parameters, and the best 100 models were selected by comparing predicted metabolic state with a measured dataset, including metabolic flux, metabolite concentrations, and protein abundance data. Metabolic control analysis using the model ensemble revealed that a large pool size of 3-phosphoglycerate could be a metabolic buffer responsible for the stability of the Calvin–Benson cycle, and also identified that phosphoglycerate kinase (PGK) is a promising engineering target to improve a pyruvate supply such as for ethanol production. Overexpression of PGK in the metabolically engineered PCC 6803 strain showed that the specific ethanol production rate and ethanol titers at 48 h were 1.23- and 1.37-fold greater than that of the control strain. PGK is useful for future metabolic engineering since pyruvate is a common precursor for the biosynthesis of various chemicals. •Kinetic metabolic models of Synechocystis sp. PCC 6803 (PCC 6803) were constructed.•Ensemble-modeling was integrated with the transomics dataset for model construction.•In silico analysis showed PGK is a promising target for metabolic engineering.•Overexpression of PGK in PCC 6803 successfully improved the ethanol production.•A 3-phosphoglycerate pool could be a metabolic buffer in the Calvin-Benson cycle.
ISSN:1096-7176
1096-7184
DOI:10.1016/j.ymben.2019.01.004