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Pattern Formation and Bistability in a Synthetic Intercellular Genetic Toggle
Bárbara de Freitas Magalhães1, Gaoyang Fan2, Eduardo Sontag3
1Department of Biosciences, Rice University, Houston, Texas 77005, United States.
ACS Synthetic Biology
|August 30, 2024
Summary
Scientists engineered a synthetic "quorum-sensing toggle" circuit in bacteria. This circuit controls cell differentiation and creates spatial patterns, paving the way for engineered biomaterials.
Area of Science:
- Synthetic biology
- Microbial engineering
- Developmental biology
Background:
- Cell differentiation is crucial for multicellular organism development, guided by morphogens and signaling molecules.
- Synthetic biologists aim to engineer patterned differentiation in microbial communities.
- Toggle switches are common regulatory components in cellular differentiation.
Purpose of the Study:
- To develop a synthetic circuit that enables patterned differentiation in bacteria.
- To investigate the behavior of a coupled synthetic toggle switch and intercellular signaling system.
- To explore the potential for engineering spatially patterned bacterial communities.
Main Methods:
- Coupling a synthetic corepressive toggle switch with intercellular signaling pathways.
- Creating a novel "quorum-sensing toggle" circuit.
- Testing the circuit's bistability in well-mixed liquid cultures.
- Analyzing pattern formation in bacterial colonies on agar with an external morphogen.
Main Results:
- The quorum-sensing toggle circuit demonstrated population-wide bistability in liquid cultures.
- The circuit successfully generated spatial patterns of differentiation in bacterial colonies.
- The engineered circuit responded to an externally supplied morphogen to induce patterning.
Conclusions:
- The synthetic quorum-sensing toggle is a viable tool for controlling bacterial differentiation and patterning.
- This circuit enables the engineering of spatially patterned bacterial communities.
- Future applications include developing advanced biomaterials and bioelectronics using engineered bacteria.
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