Related Experiment Video
Updated: Apr 1, 2026

Light-Controlled Fermentations for Microbial Chemical and Protein Production
Published on: March 22, 2022
Sensitive cells: enabling tools for static and dynamic control of microbial metabolic pathways
Brady F Cress1, Emmanouil A Trantas2, Filippos Ververidis2
1Department of Chemical and Biological Engineering, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, United States.
Metabolic engineering is shifting from static to dynamic control strategies for improved chemical production in microorganisms. This review highlights technologies for static control and advanced dynamic control methods, including novel genetic controllers.
Area of Science:
- Microbial metabolic engineering
- Synthetic biology
- Biochemical engineering
Background:
- Metabolic pathways are naturally regulated dynamically at multiple molecular levels.
- Traditional metabolic engineering often employs static control, limiting optimization.
- Recent advances inspire dynamic control strategies for enhanced microbial production.
Purpose of the Study:
- To review technologies for static control of pathway expression.
- To discuss state-of-the-art dynamic control strategies in microbial metabolic engineering.
- To emphasize the design of novel genetic controllers for pathway tuning.
Main Methods:
- Literature review of static and dynamic control strategies.
- Analysis of enabling technologies for pathway engineering.
- Conceptualization of genetically encoded controllers.
Main Results:
- Static control technologies facilitate pathway expression engineering.
- Dynamic control strategies have improved outcomes in microbial chemical production.
- Novel controllers offer automatic, transient tuning of metabolic pathways.
Conclusions:
- Dynamic control represents a significant advancement over static methods in metabolic engineering.
- Harnessing natural regulatory mechanisms is key to designing efficient engineered microorganisms.
- Genetically encoded controllers promise automated and precise metabolic pathway regulation.
More Related Videos
Related Concept Videos
Biosynthesis in Bacteria
Regulation of Metabolism
Operon Model
Other Glycolytic Pathways
Bioreactor Controls-III
Methods for Controlling Microbial Growth

