Iman Marvin Nathanael, Herawati Elisa, Fukusaki Eiichiro, Putri Sastia Prama
Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan.
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, Indonesia.
Front Mol Biosci. 2022 Nov 9;9:1057709. doi: 10.3389/fmolb.2022.1057709. eCollection 2022.
In recent years, mass spectrometry-based metabolomics has been established as a powerful and versatile technique for studying cellular metabolism by comprehensive analysis of metabolites in the cell. Although there are many scientific reports on the use of metabolomics for the elucidation of mechanism and physiological changes occurring in the cell, there are surprisingly very few reports on its use for the identification of rate-limiting steps in a synthetic biological system that can lead to the actual improvement of the host organism. In this mini review, we discuss different strategies for improving strain performance using metabolomics data and compare the application of metabolomics-driven strain improvement techniques in different host microorganisms. Finally, we highlight several success stories on the use of metabolomics-driven strain improvement strategies, which led to significant bioproductivity improvements.
近年来,基于质谱的代谢组学已成为一种强大且通用的技术,可通过对细胞内代谢物的全面分析来研究细胞代谢。尽管有许多关于利用代谢组学阐明细胞内发生的机制和生理变化的科学报告,但令人惊讶的是,关于其用于鉴定合成生物学系统中限速步骤以实际改善宿主生物的报道却非常少。在这篇小型综述中,我们讨论了利用代谢组学数据改善菌株性能的不同策略,并比较了代谢组学驱动的菌株改良技术在不同宿主微生物中的应用。最后,我们重点介绍了一些使用代谢组学驱动的菌株改良策略并显著提高生物生产力的成功案例。