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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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Related Experiment Video

Updated: Jun 13, 2025

Assessing the Viability of a Synthetic Bacterial Consortium on the In Vitro Gut Host-microbe Interface

Assessing the Viability of a Synthetic Bacterial Consortium on the In Vitro Gut Host-microbe Interface

Published on: July 4, 2018

In Vivo Multicellular Feedback Control in Synthetic Microbial Consortia.

Davide Salzano^1,2, Barbara Shannon², Claire Grierson^3,4

¹Scuola Superiore Meridionale, 80134 Naples, Italy.

ACS Synthetic Biology

|June 11, 2025

Summary

This summary is machine-generated.

We developed a microbial consortium for precise gene expression control. This multicellular system overcomes single-cell limitations for robust synthetic biology applications.

Keywords:

Escherichia coli control engineering cybergenetics gene regulation modularity multicellular control synthetic biology synthetic microbial consortia

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Published on: December 6, 2013

Area of Science:

Synthetic Biology
Biomolecular Engineering
Microbial Systems

Background:

Traditional gene expression control is limited to single cells, facing resource competition and reaction incompatibility.
Complexity and adaptability are restricted in current single-cell biomolecular control strategies.

Purpose of the Study:

To engineer a novel biomolecular control architecture for stable and precise gene expression regulation.
To overcome limitations of single-cell strategies by utilizing a multicellular approach.

Main Methods:

Engineered a microbial consortium with distinct 'controller' and 'target' cell populations.
Implemented a distributed multicellular feedback loop using two strains of *Escherichia coli*.
Utilized a division of labor strategy across the consortium for gene regulation.

Main Results:

Demonstrated stable and precise regulation of gene expression in the target population.
Showcased robustness of the control system despite variations in consortium composition.
Validated the system through *in vivo* experiments.

Conclusions:

The developed biomolecular control architecture enables robust gene expression.
This multicellular approach overcomes key limitations of single-cell synthetic biology.
The study provides a foundation for more complex and reliable synthetic biology applications.