Optimization of Artificial Curcumin Biosynthesis in E. coli by Randomized 5′-UTR Sequences to Control the Multienzyme Pathway

Sunyoung Kang, Kyung Taek Heo, Young Soo Hong

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

One of the optimization strategies of an artificial biosynthetic metabolic flux with a multienzyme pathway is when the enzyme concentrations are present at the appropriate ratios rather than at their maximum expression. Thus, many recent research efforts have focused on the development of tools that fine-tune the enzyme expression, and these research efforts have facilitated the search for the optimum balance between pathway expression and cell viability. However, the rational approach has some limitations in finding the most optimized expression ratio in in vivo systems. In our study, we focused on fine-tuning the expression level of a six-enzyme reaction for the artificial biosynthesis of curcumin by screening a library of 5′-untranslational region (UTR) sequence mutants made by a multiplex automatic genome engineering (MAGE) tool. From the screening results, a variant (6M08rv) showed about a 38.2-fold improvement in the production of curcumin compared to the parent strain, in which the calculated expression levels of 4-coumarate:CoA ligase (4CL) and phenyldiketide-CoA synthase (DCS), two of the six enzymes, were much lower than those of the parent strain.

Original languageEnglish (US)
Pages (from-to)2054-2062
Number of pages9
JournalACS Synthetic Biology
Volume7
Issue number9
DOIs
StatePublished - Sep 21 2018

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Curcumin
Biosynthesis
Escherichia coli
Enzymes
Screening
Coenzyme A
Research
Libraries
Cell Survival
Tuning
Genes
Cells
Genome
Fluxes

Keywords

  • artificial biosynthesis
  • curcumin
  • multienzyme pathway
  • multiplex automatic genome engineering

Cite this

Optimization of Artificial Curcumin Biosynthesis in E. coli by Randomized 5′-UTR Sequences to Control the Multienzyme Pathway. / Kang, Sunyoung; Heo, Kyung Taek; Hong, Young Soo.

In: ACS Synthetic Biology, Vol. 7, No. 9, 21.09.2018, p. 2054-2062.

Research output: Contribution to journalArticle

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