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利用微生物异质性,通过合成生物学推动生物合成的改进。

Harnessing microbial heterogeneity for improved biosynthesis fueled by synthetic biology.

作者信息

Cao Yanting, Li Jianghua, Liu Long, Du Guocheng, Liu Yanfeng

机构信息

Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, 214122, China.

Science Center for Future Foods, Jiangnan University, Wuxi, 214122, China.

出版信息

Synth Syst Biotechnol. 2024 Nov 19;10(1):281-293. doi: 10.1016/j.synbio.2024.11.004. eCollection 2025.

Abstract

Metabolic engineering-driven microbial cell factories have made great progress in the efficient bioproduction of biochemical and recombinant proteins. However, the low efficiency and robustness of microbial cell factories limit their industrial applications. Harnessing microbial heterogeneity contributes to solving this. In this review, the origins of microbial heterogeneity and its effects on biosynthesis are first summarized. Synthetic biology-driven tools and strategies that can be used to improve biosynthesis by increasing and reducing microbial heterogeneity are then systematically summarized. Next, novel single-cell technologies available for unraveling microbial heterogeneity and facilitating heterogeneity regulation are discussed. Furthermore, a combined workflow of increasing genetic heterogeneity in the strain-building step to help in screening highly productive strains - reducing heterogeneity in the production process to obtain highly robust strains (IHP-RHR) facilitated by single-cell technologies was proposed to obtain highly productive and robust strains by harnessing microbial heterogeneity. Finally, the prospects and future challenges are discussed.

摘要

代谢工程驱动的微生物细胞工厂在生化物质和重组蛋白的高效生物生产方面取得了巨大进展。然而,微生物细胞工厂的低效率和稳健性限制了它们的工业应用。利用微生物异质性有助于解决这一问题。在这篇综述中,首先总结了微生物异质性的起源及其对生物合成的影响。然后系统地总结了可用于通过增加和减少微生物异质性来改善生物合成的合成生物学驱动的工具和策略。接下来,讨论了可用于揭示微生物异质性并促进异质性调控的新型单细胞技术。此外,还提出了一个在菌株构建步骤中增加遗传异质性以帮助筛选高产菌株,在生产过程中减少异质性以获得高度稳健菌株(IHP-RHR)的组合工作流程,该工作流程由单细胞技术推动,旨在通过利用微生物异质性获得高产且稳健的菌株。最后,讨论了前景和未来挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0348/11646789/f737a25223b2/ga1.jpg

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