Metabolic Engineering of Escherichia coli for the Improved Malonic Acid Production

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Han Liu, Mengzhen Tian, Ping Dong, Yunying Zhao* and Yu Deng*, 
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Abstract

Malonic acid (MA) is a high-value chemical with diverse applications in the fields of food, agriculture, medicine, and chemical synthesis. Despite the successful biosynthesis of MA has been performed in Escherichia coli, Myceliophthora thermophila, and Saccharomyces cerevisiae, the resulting MA titers remain insufficient for industrial-scale production. In this study, three distinct metabolic pathways were designed and constructed to increase MA production in E. coli. Among these, the fumaric acid pathway comprising four key enzymes including the aspartase (AspA), the decarboxylase (PanD), the β-alanine-pyruvate transaminase (Pa0132), and the succinic aldehyde dehydrogenase (YneI) was identified as the most effective for MA production. Additionally, the supplementation of fumaric acid was found to significantly improve MA production. To further enhance the MA production, metabolic engineering strategies were employed, including the deletion of the ydfG gene, responsible for encoding the malonic semialdehyde reductase, and the ptsG gene, which encodes a glucose transporter. Finally, through the optimization of fermentation conditions and feeding strategies, the engineered strain achieved an MA titer of 1.4 g/L in shake flask and 17.8 g/L in fed-batch fermentation. This study provides new insights into the industrial-scale production of MA utilizing the metabolically engineered E. coli cells.

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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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