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Genetically Engineered Bacterial Biohybrid Microswimmers for Sensing Applications.
Zhiyong Sun1, Philipp F Popp2, Christoph Loderer1
1Department of Molecular Biotechnology, Institute für Mikrobiologie, Technische Universität Dresden, 01217 Dresden, Germany.
Sensors (Basel, Switzerland)
|January 8, 2020
Summary
Engineered bacteria, Bacillus subtilis, act as microswimmers that can detect antibiotics. These biohybrid microswimmers signal the presence of specific molecules, paving the way for smart biosensors.
Area of Science:
- Synthetic biology
- Microscale engineering
- Bacterial communication
Background:
- Bacterial biohybrid microswimmers leverage bacterial motility for microscale transport.
- Bacteria possess natural sensing and response mechanisms, particularly two-component systems (TCSs).
- Engineering bacteria for environmental sensing is crucial for advanced microswimmer applications.
Purpose of the Study:
- To engineer Bacillus subtilis as a sensing biohybrid microswimmer.
- To couple bacterial adherence to particles with environmental signal detection.
- To develop microswimmers capable of signaling the presence of specific molecules like antibiotics.
Main Methods:
- Utilized the Gram-positive bacterium Bacillus subtilis as the carrier.
- Engineered two-component systems (TCSs) within B. subtilis to respond to stimuli.
- Facilitated bacterial adhesion to silica particles to create microswimmers.
- Implemented fluorescent reporters for signaling antibiotic presence.
Main Results:
- Successfully created motile biohybrid microswimmers composed of B. subtilis and silica particles.
- Demonstrated that engineered TCSs enable B. subtilis to signal the presence of antibiotics.
- Showcased the ability to customize bacterial hybrid microswimmers for sensing target molecules.
Conclusions:
- Genetically engineered B. subtilis can function as sensing biohybrid microswimmers.
- TCS-mediated signaling allows these microswimmers to detect and report environmental stimuli.
- The GRAS status of B. subtilis suggests potential for human-related applications.

