大肠杆菌中水杨酸盐生产工程的理性和半理性方法

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-10-25 DOI:10.1021/acssynbio.4c0036610.1021/acssynbio.4c00366
Chenghu Chen, Cong Gao, Guipeng Hu, Wanqing Wei, Xiaoge Wang, Jian Wen, Xiulai Chen, Liming Liu, Wei Song and Jing Wu*, 
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引用次数: 0

摘要

水杨酸盐是阿司匹林和拉米夫定等药物的重要中间体。关键酶的催化效率较低以及水杨酸盐对细胞的固有毒性给大规模微生物生产带来了巨大挑战。在这项研究中,我们将水杨酸合成酶 Irp9 引入到生产 l-苯丙氨酸的大肠杆菌中,构建了最短的水杨酸生物合成途径。随后的蛋白质工程将 Irp9 的催化效率提高了 33.5%。此外,通过将适应性进化与转录组分析相结合,我们阐明了水杨酸盐耐受性中外排蛋白的关键机制。在阐明这一机制的指导下,我们对这些转运蛋白进行了有针对性的改造,使其在摇瓶中达到了 3.72 克/升的最大水杨酸水平。这项研究强调了外排蛋白对提高水杨酸盐生产中微生物细胞工厂生产率的重要性,这也为其他酚酸的绿色合成提供了应用潜力。
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Rational and Semirational Approaches for Engineering Salicylate Production in Escherichia coli

Salicylate plays a pivotal role as a pharmaceutical intermediate in drugs, such as aspirin and lamivudine. The low catalytic efficiency of key enzymes and the inherent toxicity of salicylates to cells pose significant challenges to large-scale microbial production. In this study, we introduced the salicylate synthase Irp9 into an l-phenylalanine-producing Escherichia coli, constructing the shortest salicylate biosynthetic pathway. Subsequent protein engineering increased the catalytic efficiency of Irp9 by 33.5%. Furthermore, by integrating adaptive evolution with transcriptome analysis, we elucidated the crucial mechanism of efflux proteins in salicylate tolerance. The elucidation of this mechanism guided us in the targeted modification of these transport proteins, achieving a reported maximum level of 3.72 g/L of salicylate in a shake flask. This study highlights the importance of efflux proteins for enhancing the productivity of microbial cell factories in salicylate production, which also holds potential for application in the green synthesis of other phenolic acids.

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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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