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Programming Nutrient Detection with Modular Regulators for Dynamic Control of Microbial Biosynthesis.

Nhu Nguyen1, Vincenzo Kennedy1, Jung Yeon Lee1

  • 1Department of Biomedical Engineering, University of North Texas, Denton, Texas 76207, United States.

ACS Synthetic Biology
|March 4, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a versatile platform for dynamic control of biosynthesis using modular genetic regulators. This system enables efficient bioproduction by responding to various nutrient signals from agricultural feedstocks in different microbial hosts.

Keywords:
biosynthesisdynamic control of metabolic pathwaygenetic sensormicrobial engineering

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Area of Science:

  • Synthetic biology
  • Metabolic engineering
  • Biotechnology

Background:

  • Dynamic control of biosynthetic pathways enhances bioproduction efficiency.
  • Genetic sensors responding to feedstock nutrients are common but require extensive genetic part engineering.
  • Developing new sensors for diverse nutrients is a significant bottleneck in metabolic engineering.

Purpose of the Study:

  • To create a modular dynamic control platform for biosynthesis.
  • To enable the use of various nutrient molecules as signals for gene expression.
  • To demonstrate host versatility and application in bioproduction.

Main Methods:

  • Development of a platform using modular transcriptional regulators.
  • Regulators controlling the same promoter but responding to unique signals.
  • Implementation of the platform in *Escherichia coli* and *Pseudomonas putida*.
  • Programming ethanol production induction using fructose, cellobiose, and galactose.

Main Results:

  • Demonstrated that replacing only the regulator allows induction by different nutrient molecules.
  • Successfully implemented the platform in two distinct microbial hosts.
  • Showcased dynamic control of ethanol production using three different agricultural-derived nutrients.
  • Validated the platform's ability to utilize diverse crop-based feedstocks.

Conclusions:

  • The developed platform facilitates the dynamic control of biosynthesis.
  • It enables the use of various agricultural products as signals for bioproduction.
  • This approach simplifies the engineering of cellular responses to different nutrients.
  • Enhances the flexibility and efficiency of microbial bioproduction systems.