生产d-泛酸盐的微生物底盘细胞代谢工程研究进展

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Fang-Ying Zhu, Yun-Yue Gu, Xue Cai, Jun-Ping Zhou, Yuan-Yuan Chen, Yi-Hong Wang, Bo Zhang, Zhi-Qiang Liu, Yu-Guo Zheng
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引用次数: 0

摘要

d-泛酸酯(DPA)是一种重要的功能化合物,由于其在制药、化妆品和动物饲料行业的广泛应用,市场需求不断增加。虽然许多微生物经典菌株已经通过微生物发酵合成DPA作为传统化学酶合成的替代方案,但对这些微生物底盘细胞用于DPA生产的代谢工程策略的全面分析仍然缺乏。本文系统阐述了DPA的代谢途径,包括β-丙氨酸和泛酸代谢模块、调控网络和转运系统,并重点介绍了DPA生物合成途径中涉及的操纵子和基因的主要调控机制。本文总结和分析了dpa产生菌代谢工程策略的研究现状,阐述了dpa产生菌代谢工程策略的发展趋势和今后的工程研究方向。最后,讨论了DPA可持续生产面临的挑战和未来前景,并提出了降低生产成本的指导方针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic Engineering of Microbial Chassis Cells for d-Pantothenate Production: A Review.

d-Pantothenate (DPA), an essential functional compound, has experienced increasing market demand due to its widespread applications across the pharmaceutical, cosmetic, and animal feed industries. While numerous microbial classic strains have been engineered for DPA synthesis via microbial fermentation as an alternative to conventional chemoenzymatic synthesis, a comprehensive analysis of the metabolic engineering strategies employed for these microbial chassis cells for DPA production remains absent. This review systematically delineates the DPA metabolic pathway, encompassing β-alanine and pantoate metabolic modules, the regulatory network, and transport systems, and highlights the main regulatory mechanisms of operons and genes involved in the DPA biosynthesis pathway. The current research status in metabolic engineering strategies for manipulating DPA-producing strains is summarized and analyzed to elucidate the current trends and insights for further engineering. Finally, current challenges and future perspectives for the sustainable production of DPA are discussed, and guidelines for reducing production costs are proposed.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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