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Updated: Jun 15, 2026

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Published on: August 11, 2011
Modulating Sensitivity of an Erythromycin Biosensor for Precise High-Throughput Screening of Strains with Different
Yan Wang1,2,3, Shixin Li1,2, Ning Xue1,2
1College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China.
Engineered biosensors enhance high-throughput screening for antibiotic production. This study fine-tuned MphR-based erythromycin biosensors for improved sensitivity and range, enabling significant strain engineering and production boosts.
Area of Science:
- Synthetic biology
- Metabolic engineering
- Biosensor development
Background:
- Genetically encoded biosensors are crucial for high-throughput screening but often have limited operating ranges.
- Transcription factor (TF)-based biosensors offer tunable performance through regulator expression modification.
Purpose of the Study:
- To engineer MphR-based erythromycin biosensors with modulated sensitivity and operating ranges.
- To develop a panel of biosensors for diverse screening applications in synthetic biology.
Main Methods:
- Ribosome-binding site (RBS) engineering to fine-tune TF expression.
- Iterative fluorescence-assisted cell sorting (FACS) to generate biosensors with varied sensitivities.
- Microfluidic-based fluorescence-activated droplet sorting (FADS) for high-throughput screening of mutant libraries.
Main Results:
- A panel of MphR-based erythromycin biosensors with distinct sensitivities was successfully generated.
- Engineered biosensors facilitated high-throughput screening of *Saccharopolyspora erythraea* mutants.
- Significant improvements in erythromycin production (up to 6.8-fold and over 100%) were achieved in engineered strains.
Conclusions:
- A straightforward strategy for engineering biosensor performance properties was demonstrated.
- The developed biosensors are valuable tools for stepwise strain engineering and optimizing antibiotic production.
- This approach advances the application of biosensors in metabolic engineering and synthetic biology.
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