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Inducible T7 RNA Polymerase-mediated Multigene Expression System, pMGX
Published on: June 27, 2017
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Reusable combinatorial libraries with high diversity for efficient multi-gene expression optimization in Escherichia
Dongyuan Cheng1,2, Qingyu Zhang3, Zhimin Ou4
1Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 310027, China.
World Journal of Microbiology & Biotechnology
|July 31, 2025
Summary
This study introduces a high-throughput platform for optimizing multi-gene expression in Escherichia coli, accelerating metabolic engineering. The system enables rapid exploration of gene expression for applications like lycopene biosynthesis.
Area of Science:
- Synthetic Biology
- Metabolic Engineering
- Molecular Biology
Background:
- Efficient multi-gene expression is crucial for metabolic engineering and synthetic biology.
- Current methods for optimizing gene expression are often low-throughput and labor-intensive.
- Standardized genetic elements and high-throughput platforms are needed to overcome these limitations.
Purpose of the Study:
- To develop a high-throughput platform for engineering and optimizing multi-gene expression in Escherichia coli.
- To create standardized genetic parts (promoters, 5' UTRs) and libraries for modular assembly.
- To demonstrate the platform's utility in balancing multi-gene pathways for metabolite production.
Main Methods:
- Engineered standardized promoters and 5' UTRs with fluorescent reporters (e.g., eGFP, mCherry, TagBFP) for expression quantification.
- Assembled single-, dual-, and tri-gene constructs using Golden Gate assembly.
- Applied the platform to lycopene biosynthesis by replacing fluorescent genes with crtE, crtI, and crtB via Gibson assembly.
- Validated construct uniformity using quantitative PCR (qPCR).
Main Results:
- Developed a modular, dual-plasmid platform for high-throughput multi-gene expression analysis.
- Generated libraries of single-, dual-, and tri-gene constructs.
- Successfully applied the platform to optimize lycopene biosynthesis in E. coli BL21(DE3) strains.
- Demonstrated the platform's ability to balance multi-gene pathways and enable variable metabolite production.
Conclusions:
- The developed modular platform enables rapid exploration of multi-gene expression landscapes.
- This scalable tool facilitates metabolic engineering and the co-expression of multiple enzymes.
- The platform accelerates the optimization of complex genetic pathways in engineered microorganisms.

