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Related Concept Videos

Bacterial Signaling01:30

Bacterial Signaling

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Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
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A Hydroponic Co-cultivation System for Simultaneous and Systematic Analysis of Plant/Microbe Molecular Interactions and Signaling
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Developing Quorum Sensing-Based Collaborative Dynamic Control System in Halomonas TD01.

Yi-Na Lin1, Yu-Xi Li1, Ye Zheng2,3,4

  • 1School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|March 17, 2025
PubMed
Summary
This summary is machine-generated.

A novel quorum sensing (QS)-based dynamic control system was developed for microbial cell factories. This inducer-free system demonstrates robust scale-up potential for enhanced metabolic engineering applications.

Keywords:
Halomonascell‐cell communicationdynamic controlhigh cell density inductionmetabolic engineeringquorum sensing

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Area of Science:

  • Synthetic Biology
  • Metabolic Engineering
  • Microbial Biotechnology

Background:

  • Dynamic control of gene expression is crucial for microbial cell factory engineering.
  • Current tools face challenges in scale-up robustness, particularly in non-model organisms.

Purpose of the Study:

  • To construct a robust, scale-up friendly dynamic control system for microbial cell factories.
  • To develop an inducer-free system for precise temporal and level control of gene expression.

Main Methods:

  • Engineered two cell types in Halomonas TD using orthogonal quorum sensing (QS) modules.
  • Utilized a QS-based collaborative system with distinct promoters (Pcin and Plux).
  • Integrated CRISPR interference (CRISPRi) for dynamic repression and MmP1 RNA polymerase for amplification.

Main Results:

  • Achieved over 15-fold dynamic gene expression control in lab-scale fed-batch.
  • Demonstrated up to 80% repression efficiency and 30-fold amplification under high cell density fermentation.
  • Produced 500 mg L-1 indigo and 4.7 g L-1 superoxide dismutase (SOD), outperforming IPTG induction.

Conclusions:

  • Developed a standardized, inducer-free dynamic control system based on QS.
  • The system shows promising robustness for scale-up fermentation in metabolic engineering.
  • Highlights a new paradigm for precise genetic manipulation in industrial microorganisms.