Evidence map›Paper›PMID 39825898›Full record

ArticleBioprocess and biosystems engineering2025

Metabolic engineering of Escherichia coli for enhanced production of p-coumaric acid via L-phenylalanine biosynthesis pathway.

Chorok Jeong, Seung Hee Han, Chang Gyu Lim, Sun Chang Kim, Ki Jun Jeong

Abstract read
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In one paragraph

Article in Bioprocess and biosystems engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chorok JeongDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea.
Seung Hee HanDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea.
Chang Gyu LimDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea.
Sun Chang KimDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea.
Ki Jun JeongDepartment of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Korea. kjjeong@kaist.ac.kr.

Funding

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry 321109-04-1-HD020National Research Foundation of Korea NRF-2020M3A9I5037883
6 · The paper itself

Abstract

p-Coumaric acid (p-CA), an invaluable phytochemical, has novel bioactivities, including antiproliferative, anxiolytic, and neuroprotective effects, and is the main precursor of various flavonoids, such as caffeic acid, naringenin, and resveratrol. Herein, we report the engineering of Escherichia coli for de novo production of p-CA via the PAL-C4H pathway. As the base strain, we used the E. coli H-02 strain, which was previously engineered for sufficient supplementation of L-phenylalanine, the main precursor of p-CA. For the bioconversion of L-Phe to p-CA, we constructed and optimized an expression system for phenylalanine ammonia lyase (SmPAL), codon-optimized cinnamate 4-hydroxylase (AtC4H), and its redox partner, cytochrome P450 reductase (AtCPR1). We confirmed that the engineered cell showed higher production of p-CA at 30 °C and the addition of 0.5 mM 5-aminolevulinic acid could increase the production titer further. Subsequently, the main pathways of acetic acid (poxB and pta-ackA) were eliminated to reduce its accumulation and restore cell growth. Next, to increase the available pool of cofactor (NADPH), the co-expression system of the zwf gene in the pentose phosphate pathway (PPP) was integrated into genome and the expression level was optimized with synthetic promoters. Finally, by optimizing fed-batch culture in a 5 L-scale bioreactor, the engineered strain achieved 1.5 g/L p-CA with a productivity of 31.8 mg/L/h.

Indexed as

Coumaric AcidsEscherichia coliMetabolic EngineeringPhenylalaninePhenylalanine Ammonia-LyasePropionatesCoumaric Acidsp-coumaric acidPhenylalaninePhenylalanine Ammonia-LyasePropionatesCinnamate-4-hydroxylaseEscherichia coliMetabolic engineeringp-Coumaric acidTrans-cinnamic acid

Identifiers

PMID39825898

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.