Abstract
With the advent of synthetic biology, it is possible to accelerate metabolic engineering research due to lower cost gene synthesis. In particular, genetically encoded biosensors can be used in synthetic circuits to dynamically respond to metabolites to actuate desired metabolic engineering functions. Biosensors can be employed to target high-producing strains by high-throughput screening, to sense desirable products in selective conditions, and to dynamically control metabolic fluxes. In this chapter, we first describe different types of biosensors (transcription factor-based biosensors, RNA-based biosensors, protein activity-based biosensors, and whole cell biosensors) that have been developed. Next, we describe the application of developed biosensors well-developed methods that are used to develop novel biosensors. Finally, we provide some perspectives on biosensor utilization in metabolic engineering and some potential problems that face this field.
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Abbreviations
- 2-PS:
-
2-Pyrone synthase
- acetyl-CoA:
-
Acetyl coenzyme A
- ATF:
-
Artificial transcription factor
- BLA:
-
β-Lactamase
- bPBP:
-
Bacterial periplasmic binding protein
- CIDs:
-
Chemical inducers of dimerization
- DBDs:
-
DNA-binding domains
- ER:
-
Estrogen receptor
- eyfp:
-
Enhanced yellow fluorescence protein
- FACS:
-
Fluorescence-activated cell sorting
- FAEE:
-
Fatty acid ethyl ester
- GC:
-
Gas chromatography
- GFP:
-
Green fluorescent protein
- HHRs:
-
Hammerhead ribozymes
- HMG-CoA:
-
Hydroxymethylglutaryl-CoA
- HPLC:
-
High-performance liquid chromatography
- IPP:
-
Isopentenyl pyrophosphate
- IPTG:
-
β-D-1-Thiogalactopyranoside
- LBD:
-
Ligand-binding domain
- MAGE:
-
Multiplex automated genome engineering
- MBP:
-
Maltose-binding protein
- MRTF:
-
Metabolite-responsive transcription factor
- RBS:
-
Ribosome binding site
- RD:
-
Regulatory domain
- RFP:
-
Red fluorescent protein
- SDS:
-
Sodium dodecyl sulfate
- TAL:
-
Triacetic acid lactone
- TATB:
-
1,3,5-Triamino-2,4,6-trinitrobenzene
- TPP:
-
Thiamine pyrophosphate
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Yan, Q., Fong, S.S. (2016). Biosensors for Metabolic Engineering. In: Singh, S. (eds) Systems Biology Application in Synthetic Biology. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2809-7_5
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