Literature DB >> 32693027

Combinatorial synthetic pathway fine-tuning and cofactor regeneration for metabolic engineering of Escherichia coli significantly improve production of D-glucaric acid.

Hui-Hui Su1, Fei Peng1, Xiao-Yang Ou1, Ying-Jie Zeng1, Min-Hua Zong1, Wen-Yong Lou2.   

Abstract

D-glucaric acid (GA) has been identified as among promising biotechnological alternatives to oil-based chemicals. GA and its derivatives are widely used in food additives, dietary supplements, drugs, detergents, corrosion inhibitors and biodegradable materials. The increasing availability of a GA market is improving the cost-effectiveness and efficiency of various biosynthetic pathways. In this study, an engineered Escherichia coli strain GA10 was constructed by systematic metabolic engineering. This involved redirecting metabolic flux into the GA biosynthetic pathways, blocking the conversion pathways of d-glucuronic acid (GlcA) and GA into by-products, introducing an in situ NAD+ regeneration system and fine-tuning the activity of the key enzyme, myo-inositol oxygenase (Miox). Subsequently, the culture medium was optimized to achieve the best performance of the GA10 strain. GA was produced at 5.35 g/L (extracellular and intracellular), with a maximized yield of ∼0.46 mol/mol on d-glucose and glycerol, by batch fermentation. This work demonstrates efficient biosynthetic pathways of GA in E. coli by metabolic engineering and should accelerate the application of GA biosynthetic pathways in industrial processes.
Copyright © 2020 Elsevier B.V. All rights reserved.

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Keywords:  Microbial fermentation; Platform chemical; RBS optimization; Self-sufficient; Systematic metabolic engineering

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Year:  2020        PMID: 32693027     DOI: 10.1016/j.nbt.2020.03.004

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  1 in total

Review 1.  Cell-based and cell-free biocatalysis for the production of D-glucaric acid.

Authors:  Lu-Zhou Chen; Si-Ling Huang; Jin Hou; Xue-Ping Guo; Feng-Shan Wang; Ju-Zheng Sheng
Journal:  Biotechnol Biofuels       Date:  2020-12-10       Impact factor: 6.040

  1 in total

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