Kuriya Yuki, Araki Michihiro
Graduate School of Medicine, Kyoto University, 54 ShogoinKawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8636, Japan.
Metabolites. 2020 May 15;10(5):198. doi: 10.3390/metabo10050198.
Flux balance analysis (FBA) is used to improve the microbial production of useful compounds. However, a large gap often exists between the FBA solution and the experimental yield, because of growth and byproducts. FBA has been extended to dynamic FBA (dFBA), which is applicable to time-varying processes, such as batch or fed-batch cultures, and has significantly contributed to metabolic and cultural engineering applications. On the other hand, the performance of the experimental strains has not been fully evaluated. In this study, we applied dFBA to the production of shikimic acid from glucose in , to evaluate the production performance of the strain as a case study. The experimental data of glucose consumption and cell growth were used as FBA constraints. Bi-level FBA optimization with maximized growth and shikimic acid production were the objective functions. Results suggest that the shikimic acid concentration in the high-shikimic-acid-producing strain constructed in the experiment reached up to 84% of the maximum value by simulation. Thus, this method can be used to evaluate the performance of strains and estimate the milestones of strain improvement.
通量平衡分析(FBA)用于提高微生物对有用化合物的生产。然而,由于生长和副产物的存在,FBA的计算结果与实验产量之间往往存在很大差距。FBA已扩展到动态FBA(dFBA),它适用于时变过程,如分批或补料分批培养,并在代谢和培养工程应用中做出了重大贡献。另一方面,实验菌株的性能尚未得到充分评估。在本研究中,我们将dFBA应用于从葡萄糖生产莽草酸的过程中,作为案例研究来评估该菌株的生产性能。葡萄糖消耗和细胞生长的实验数据被用作FBA的约束条件。以生长最大化和莽草酸产量最大化作为目标函数进行双层FBA优化。结果表明,在实验中构建的高产莽草酸菌株中,莽草酸浓度通过模拟达到了最大值的84%。因此,该方法可用于评估菌株性能并估计菌株改良的关键节点。