Inverse metabolic engineering to improve Escherichia coli as an N ‐glycosylation host

2013 ◽  
Vol 110 (9) ◽  
pp. 2482-2493 ◽  
Author(s):  
Jagroop Pandhal ◽  
Lauren B. A. Woodruff ◽  
Stephen Jaffe ◽  
Pratik Desai ◽  
Saw Y. Ow ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Metabolic Engineering ◽  
Inverse Metabolic Engineering

Metabolic engineering of Escherichia coli for the production of malic acid

2008 ◽  
Vol 40 (2) ◽  
pp. 312-320 ◽  
Author(s):  
Soo Yun Moon ◽  
Soon Ho Hong ◽  
Tae Yong Kim ◽  
Sang Yup Lee
Keyword(s):  
Escherichia Coli ◽  
Metabolic Engineering ◽  
Malic Acid

Metabolic engineering and synthetic biology approaches driving isoprenoid production in Escherichia coli

2017 ◽  
Vol 241 ◽  
pp. 430-438 ◽  
Author(s):  
Chonglong Wang ◽  
Bakht Zada ◽  
Gongyuan Wei ◽  
Seon-Won Kim
Keyword(s):  
Escherichia Coli ◽  
Metabolic Engineering ◽  
Synthetic Biology

scholarly journals Metabolic engineering of Escherichia coli for de novo production of 3-phenylpropanol via retrobiosynthesis approach

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhenning Liu ◽  
Xue Zhang ◽  
Dengwei Lei ◽  
Bin Qiao ◽  
Guang-Rong Zhao
Keyword(s):  
Escherichia Coli ◽  
Metabolic Engineering ◽  
De Novo ◽  
Microbial Cell ◽  
Cell Factory ◽  
Phosphopantetheinyl Transferase ◽  
Chromosome Engineering ◽  
Microbial Cell Factory ◽  
E Coli ◽  
Artificial Pathway

Abstract Background 3-Phenylpropanol with a pleasant odor is widely used in foods, beverages and cosmetics as a fragrance ingredient. It also acts as the precursor and reactant in pharmaceutical and chemical industries. Currently, petroleum-based manufacturing processes of 3-phenypropanol is environmentally unfriendly and unsustainable. In this study, we aim to engineer Escherichia coli as microbial cell factory for de novo production of 3-phenypropanol via retrobiosynthesis approach. Results Aided by in silico retrobiosynthesis analysis, we designed a novel 3-phenylpropanol biosynthetic pathway extending from l-phenylalanine and comprising the phenylalanine ammonia lyase (PAL), enoate reductase (ER), aryl carboxylic acid reductase (CAR) and phosphopantetheinyl transferase (PPTase). We screened the enzymes from plants and microorganisms and reconstructed the artificial pathway for conversion of 3-phenylpropanol from l-phenylalanine. Then we conducted chromosome engineering to increase the supply of precursor l-phenylalanine and combined the upstream l-phenylalanine pathway and downstream 3-phenylpropanol pathway. Finally, we regulated the metabolic pathway strength and optimized fermentation conditions. As a consequence, metabolically engineered E. coli strain produced 847.97 mg/L of 3-phenypropanol at 24 h using glucose-glycerol mixture as co-carbon source. Conclusions We successfully developed an artificial 3-phenylpropanol pathway based on retrobiosynthesis approach, and highest titer of 3-phenylpropanol was achieved in E. coli via systems metabolic engineering strategies including enzyme sources variety, chromosome engineering, metabolic strength balancing and fermentation optimization. This work provides an engineered strain with industrial potential for production of 3-phenylpropanol, and the strategies applied here could be practical for bioengineers to design and reconstruct the microbial cell factory for high valuable chemicals.

Multiplex modification of Escherichia coli for enhanced β-alanine biosynthesis through metabolic engineering

2021 ◽  
pp. 126050
Author(s):  
Pei Wang ◽  
Hai-Yan Zhou ◽  
Bo Li ◽  
Wen-Qing Ding ◽  
Zhi-Qiang Liu ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Metabolic Engineering

Model-guided identification of novel gene amplification targets for improving succinate production in Escherichia coli NZN111

2017 ◽  
Vol 9 (10) ◽  
pp. 830-835 ◽  
Author(s):  
Xingxing Jian ◽  
Ningchuan Li ◽  
Qian Chen ◽  
Qiang Hua
Keyword(s):  
Escherichia Coli ◽  
Metabolic Engineering ◽  
Gene Amplification ◽  
Metabolic Networks ◽  
Computational Analysis ◽  
Succinate Production ◽  
Novel Gene ◽  
Metabolic Models ◽  
Genome Scale

Reconstruction and application of genome-scale metabolic models (GEMs) have facilitated metabolic engineering by providing a platform on which systematic computational analysis of metabolic networks can be performed.

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