Novel Reprogramming of Polyketide Synthase for Valerolactam Production.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-03-21 Epub Date: 2025-02-22 DOI:10.1021/acssynbio.4c00758
Jikai Zong, Kaixing Xiao, Dan Wang, Yaqi Kang, Zhiyao Peng, Bo Yu
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Abstract

δ-Valerolactam (VL), as an organic compound, is an important precursor chemical for nylon and has a wide range of applications in organic synthesis, pharmaceutical synthesis, polymer materials, and other fields. This study introduces a novel biosynthetic method for producing VL in the engineered strain Escherichia coli BL21 through the reprogramming of polyketide synthases (PKS). Initially, an in vitro multienzyme system was constructed to verify the reliability of the VL synthesis pathway. Subsequently, an optimized biosynthetic pathway was established in E. coli, converting l-aspartate to VL with a yield of 3.66 mg/L in a 250 mL shake flask. Various engineering strategies were then implemented to enhance VL production, including substrate-enzyme affinity modification and multidimensional substrate optimization. These methods resulted in a 3.7-fold increase in VL yield, reaching 13.5 mg/L in shake flask cultures. Further scale-up in a 5 L fed-batch fermenter achieved a VL concentration of 76.2 mg/L. This research provides innovative insights into the optimization of VL production pathways and industrial-scale production.

戊内酯生产中聚酮合成酶的新型重编程。
δ-Valerolactam (VL)作为一种有机化合物,是尼龙的重要前体化学品,在有机合成、药物合成、高分子材料等领域有着广泛的应用。本研究介绍了一种在大肠杆菌BL21工程菌株中通过对聚酮合成酶(PKS)重编程来生产VL的新生物合成方法。首先,我们构建了一个体外多酶系统来验证VL合成途径的可靠性。随后,在大肠杆菌中建立了优化的生物合成途径,在250 mL摇瓶中将L -天冬氨酸转化为VL,产率为3.66 mg/L。然后实施各种工程策略来提高VL的生产,包括底物-酶亲和修饰和多维底物优化。这些方法使VL产量增加3.7倍,摇瓶培养达到13.5 mg/L。在5l补料间歇发酵罐中进一步放大,VL浓度达到76.2 mg/L。这项研究为VL生产途径的优化和工业规模生产提供了创新的见解。
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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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