生物生产
代谢工程
谷氨酸棒杆菌
合成生物学
生化工程
发酵
计算生物学
合理设计
生物化学
代谢途径
大肠杆菌
生物
工业微生物学
微生物代谢
生物技术
系统生物学
生物合成
计算机科学
化学
酶
工业发酵
代谢网络
通量平衡分析
枯草芽孢杆菌
定向进化
生物膜
联营
细菌
蛋白质工程
群体感应
生产(经济)
作者
Jin Dang,Zhijie Shi,Heyun Wu,Qian Ma,Xixian Xie
出处
期刊:Foods
[Multidisciplinary Digital Publishing Institute]
日期:2025-10-12
卷期号:14 (20): 3478-3478
被引量:2
标识
DOI:10.3390/foods14203478
摘要
N-Acetylneuraminic acid (Neu5Ac), the predominant form of sialic acids (Sias), is extensively utilized in the food, pharmaceutical, and cosmetic industries. Microbial fermentation serves as a critical production method for its economical, eco-friendly, and scalable production. Escherichia coli and Bacillus subtilis, as primary industrial workhorses for Neu5Ac production, have been extensively investigated owing to their well-characterized genetic frameworks and mature molecular toolkits. Nevertheless, the intricate regulatory networks inherent to microbial systems present formidable obstacles to the high-efficiency biosynthesis of Neu5Ac. This review delineates the genetic and molecular mechanisms underlying Neu5Ac biosynthesis in both E. coli and B. subtilis. Furthermore, the rational and irrational strategies for constructing Neu5Ac microbial cell factories are systematically summarized, including the application of rational metabolic engineering to relieve feedback regulation, reconfigure metabolic networks, implement dynamic regulation, and optimize carbon sources; as well as the use of irrational strategies including directed evolution of key enzymes and high-throughput screening based on biosensors. Finally, this review addresses current challenges in Neu5Ac bioproduction and proposes integrative solutions combining machine learning with systems metabolic engineering to advance the construction of high-titer Neu5Ac microbial cell factory and the refinement of advanced fermentation technologies.
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