[4S00a] 01. ASBA - Part 11

2:00 PM - 2:20 PM JST(5:00 AM - 5:20 AM UTC)

[4ASBA-06-KL] Metabolic Engineering to Reduce CO₂ Emissions Based on In Silico Design and Experimental Analysis of Metabolic Pathways

○Hiroshi Shimizu¹ (1. The University of Osaka (Japan))

Keywords:

Flux Balance Analysis,13C-Metabolic Flux Analysis,in silico design

Microorganisms have been industrially utilized in the fields of brewing, foods and chemicals productions in bio processes. Because the thousands of metabolic reactions simultaneously occur and many metabolic reactions are related to the target production and cell growth, development of the rational design method of metabolic pathway modification to optimize production of the target products are needed. In order to improve design performance of metabolic pathways, systematic platform of integration of in silco and experimental methods is highly desired.
In my presentation, recent advances in metabolic flux analyses are introduced, especially in terms of computational pathway modification design by flux balance analysis (FBA) and experimental evaluation of metabolic fluxes by ¹³C-metabolic flux analysis (¹³C-MFA). Computational tools searching for effective gene deletion targets and recruitment of heterologous genes are introduced. Experimental ¹³C-MFA enables to elucidate metabolic states in the cells under given environmental conditions. To reduce CO₂ emissions in the use of glucose as a carbon source in Escherichia coli cultivation, non-oxidative glycolysis (NOG) pathway is recruited and introduced. ¹³C-MFA shows the metabolic flux distribution with the use of NOG pathway and reduction of CO₂ emissions. Promising target compounds to produce with NOG pathway will be also discussed.

References
1) Miyoshi, K., Kawai, R., Niide, T., Toya, Y., Shimizu, H., Functional evaluation of non-oxidative glycolysis in Escherichia coli in the stationary phase under microaerobic conditions, Journal of Bioscience and Bioengineering, 135(4), 291-297 (2023)
2) Tokuyama, K., Toya, Y., Horinouchi, T., Furusawa, C., Matsuda, F., Shimizu, H., Application of adaptive laboratory evolution to overcome a flux limitation in an Escherichia coli production strain, Biotechnology Bioengineering 115(6), 1542-1551 (2018) 3) Okahashi, N., Matsuda, F., Yoshikawa, K., Shirai, T., Matsumoto, Y., Wada, M., Shimizu, H., Metabolic engineering of isopropyl alcohol-producing Escherichia coli strains with ¹³C-metabolic flux analysis, Biotechnology Bioengineering, 114(12), 2782-2793 (2017)