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A Hydroponic Co-cultivation System for Simultaneous and Systematic Analysis of Plant/Microbe Molecular Interactions and Signaling
Published on: July 22, 2017
Engineering Robust Production Microbes for Large-Scale Cultivation
Maren Wehrs1, Deepti Tanjore2, Thomas Eng3
1Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Institut für Genetik, Technische Universität Braunschweig, Braunschweig, Germany; Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, USA.
Systems biology and synthetic biology offer solutions for scaling up microbial production. These approaches help engineer robust microbes by understanding and improving strain responses to large-scale bioreactor conditions.
Area of Science:
- Microbial biotechnology
- Systems biology
- Synthetic biology
Background:
- Scaling up microbial production presents challenges due to differences between lab and industrial settings.
- Strain characteristics crucial for large-scale processes require careful consideration.
Purpose of the Study:
- To review the application of systems biology and synthetic biology in addressing scale-up challenges in microbial production.
- To highlight strain attributes important for large-scale fermentation.
Main Methods:
- Review of systems biology studies on microbial responses to bioreactor conditions (nutrients, gases, stresses).
- Review of synthetic biology applications for assessing, modulating, and engineering microbial strains.
- Analysis of laboratory vs. large-scale culture differences.
Main Results:
- Systems biology tools effectively analyze microbial behavior under bioreactor stresses.
- Synthetic biology enables strain engineering for enhanced production and robustness.
- Key strain characteristics for scale-up have been identified.
Conclusions:
- Systems and synthetic biology are vital for engineering robust microbes for industrial-scale production.
- These disciplines provide a framework for optimizing microbial processes from lab to large scale.
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