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Engineering RGB color vision into Escherichia coli
Jesus Fernandez-Rodriguez1, Felix Moser1, Miryoung Song1
1Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Nature Chemical Biology
|May 23, 2017
Summary
Researchers developed a new optogenetic system for bacteria. This genetically encoded tool allows *Escherichia coli* to sense red, green, and blue light, controlling gene expression for applications like creating bacterial
Area of Science:
- Synthetic Biology
- Microbiology
- Genetics
Background:
- Optogenetics enables spatiotemporal control of cellular functions using light.
- Existing optogenetic systems often lack precise color discrimination.
- Controlling gene expression in bacteria with light offers novel research and application possibilities.
Purpose of the Study:
- To engineer *Escherichia coli* with the ability to distinguish and respond to red, green, and blue (RGB) light.
- To develop a genetically encoded system for light-inducible gene expression in bacteria.
- To demonstrate the utility of this system in controlling cellular behavior.
Main Methods:
- Designed and implemented a novel genetic circuit in *Escherichia coli* for RGB light sensing.
- Utilized distinct photoreceptor and signaling pathways for each light color.
- Integrated the system with downstream gene expression modules, including pigment production and CRISPR interference (CRISPRi).
Main Results:
- Successfully engineered *E. coli* to exhibit distinct gene expression patterns in response to red, green, and blue light.
- Demonstrated the creation of 'color photographs' on bacterial plates by spatially controlling pigment production.
- Showcased the ability to redirect metabolic flux through light-controlled expression of CRISPRi guide RNAs.
Conclusions:
- The developed RGB optogenetic system provides unprecedented color-specific control over gene expression in *E. coli*.
- This technology enables novel applications in synthetic biology, such as microbial imaging and metabolic engineering.
- The system offers a powerful platform for precise spatiotemporal manipulation of bacterial functions.

