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Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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Transcription factor-based biosensors and inducible systems in non-model bacteria: current progress and future
Nancy M Kim1, Riley W Sinnott2, Nicholas R Sandoval2
1Interdisciplinary Bioinnovation PhD Program, Tulane University, New Orleans, LA, USA.
Current Opinion in Biotechnology
|November 1, 2019
Summary
Genetic diversity offers sensing capabilities for biotechnology. This study reviews genetic biosensing elements in non-model bacteria, highlighting engineering efforts and challenges for broader application.
Area of Science:
- Microbiology
- Metabolic Engineering
- Synthetic Biology
Background:
- Non-model bacteria possess significant biotechnological potential.
- Inducible biosensing systems are crucial for metabolic engineering and high-throughput screening.
- Existing systems are largely developed for model organisms like Escherichia coli.
Purpose of the Study:
- To provide an overview of genetic biosensing elements in non-model bacteria.
- To discuss current state-of-the-art engineering efforts for these elements.
- To identify challenges hindering the common use of biosensing in non-model bacteria.
Main Methods:
- Literature review of genetic biosensing elements.
- Analysis of engineering strategies for non-model bacteria.
- Discussion of physiological and transcriptional compatibility issues.
Main Results:
- A range of genetic biosensing tools exist for non-model organisms.
- Engineering efforts are underway to adapt these tools.
- Significant challenges remain due to bacterial diversity.
Conclusions:
- Genetic biosensing in non-model bacteria holds promise for biotechnology.
- Overcoming species-specific differences is key to widespread adoption.
- Further research is needed to standardize and optimize these systems.
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