In situ mutagenesis and chemotactic selection of microorganisms in a diffusion gradient chamber

Area of Science:

• Microbiology
• Biotechnology
• Biochemical Engineering

Background:

• Developing microbial strains with enhanced resistance to inhibitory compounds is crucial for various biotechnological applications.
• Traditional methods for strain selection can be time-consuming and inefficient.
• Optimizing microbial resistance is key to improving industrial fermentation processes.

Purpose of the Study:

• To develop a rapid and efficient method for generating and selecting microbial strains with increased resistance to inhibitory compounds.
• To engineer a strain of E. coli with a feedback-resistant DAHP synthase enzyme.
• To model and understand the impact of microbial chemotaxis on the selection process.

Main Methods:

• Combines in situ mutagenesis with a continuous gradient of the inhibitor for cell sorting.
• Induces microbial chemotaxis to accelerate the selection process.
• Develops an unsteady-state mathematical model to simulate and analyze the selection dynamics.

Main Results:

• Successfully generated and selected microbial strains with significantly increased resistance.
• Developed a strain of E. coli exhibiting a feedback-resistant DAHP synthase enzyme.
• The mathematical model accurately reproduced experimental trends and highlighted the positive effect of chemotaxis on selection efficiency.

Conclusions:

• The developed method offers a rapid and effective approach for microbial strain improvement.
• Chemotaxis plays a significant role in enhancing the efficiency of inhibitor resistance selection.
• This methodology has broad implications for metabolic engineering and synthetic biology.