In Vivo Multicellular Feedback Control in Synthetic Microbial Consortia

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.