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Published on: October 15, 2013
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Engineered TtgR-Based Whole-Cell Biosensors for Quantitative and Selective Monitoring of Bioactive Compounds.
Kyeongseok Song1, Haekang Ji1, Jiwon Lee1
1Department of Environmental Health Science, Konkuk University, Seoul 05029, Republic of Korea.
Biosensors
|August 27, 2025
Summary
Researchers developed transcription factor (TF)-based biosensors using TtgR from Pseudomonas putida to detect flavonoids. Engineered TtgR variants show tailored responses, enabling accurate quantification of compounds like resveratrol.
Area of Science:
- Microbiology
- Molecular Biology
- Biotechnology
Background:
- TtgR, a transcriptional repressor from Pseudomonas putida, regulates multidrug resistance gene expression.
- TtgR's broad ligand specificity makes it a candidate for developing transcription factor (TF)-based biosensors.
Purpose of the Study:
- To construct and characterize TF-based biosensors in Escherichia coli using TtgR and its native promoter (PttgABC).
- To engineer TtgR variants with enhanced selectivity and specificity for flavonoid detection.
- To investigate TtgR-flavonoid interactions using computational methods.
Main Methods:
- Construction of biosensors in E. coli by coupling TtgR and PttgABC with egfp reporter gene.
- Genetic engineering of the TtgR-binding pocket to create variants with altered ligand specificities.
- Computational structural analysis and ligand docking to elucidate interaction mechanisms.
Main Results:
- Developed a biosensor responsive to diverse flavonoids by combining TtgR, PttgABC, and egfp.
- Engineered TtgR variants displayed modified sensing profiles, allowing for tailored biosensor responses.
- Biosensors utilizing wild-type TtgR and the N110F mutant accurately quantified resveratrol and quercetin at 0.01 mM.
Conclusions:
- The study presents novel TtgR-based biosensors for flavonoid detection with potential for broad applications.
- Engineered TtgR variants offer a platform for developing biosensors with specific ligand responses.
- This work provides a foundation for future applications in synthetic biology and metabolic engineering.

