Genetic-Metabolic Coupling for Targeted Metabolic Engineering

Area of Science:

• Microbial biotechnology
• Synthetic biology
• Metabolic engineering

Background:

• Microbial chemical production relies on enzymes that can impact cell fitness and yield.
• Current optimization methods often overlook metabolic perturbations, limiting real-world applicability.

Purpose of the Study:

• To develop a method linking cell fitness to thiamine diphosphate production in Escherichia coli.
• To identify native gene networks influencing both cell fitness and thiamine production.

Main Methods:

• Coupling cell fitness to thiamine diphosphate production using a synthetic RNA biosensor.
• Interrogating a library of transposon mutants to elucidate the native gene network.
• Identifying effectors of the OxyR-Fur stress response.

Main Results:

• Identified effectors of the OxyR-Fur stress response that limit thiamine biosynthesis.
• Demonstrated alternative regulation of iron storage and Fe-S cluster inclusion in enzymes.
• Revealed a direct link between stress response and thiamine production.

Conclusions:

• The study presents a new approach for high-throughput identification of genetic targets relevant to specific biosynthetic processes.
• This method enhances the understanding of microbial metabolism and its impact on chemical production.
• The findings are directly relevant to optimizing microbial cell factories.