Design of Synthetic Quorum Sensing Achieving Induction Timing-Independent Signal Stabilization for Dynamic Metabolic Engineering of E. coli
| Autor: | Yuri Fujiwara, Takeshi Bamba, Tamaki Shinohara, Yuki Soma, Yoshihiro Izumi, Masatomo Takahashi, Taizo Hanai |
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| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Time Factors Computer science Biomedical Engineering Gene Expression 01 natural sciences Biochemistry Genetics and Molecular Biology (miscellaneous) Signal Metabolic engineering 03 medical and health sciences 010608 biotechnology Escherichia coli Metabolome Metabolomics Gene Regulatory Networks 030304 developmental biology 0303 health sciences Quorum Sensing Gene Expression Regulation Bacterial General Medicine Quorum sensing Metabolic pathway Metabolic Engineering Metabolic regulation Batch Cell Culture Techniques Biofuels Fermentation Biochemical engineering Microorganisms Genetically-Modified Flux (metabolism) Signal Transduction |
| Zdroj: | ACS Synthetic Biology. 10:1384-1393 |
| ISSN: | 2161-5063 |
| Popis: | Dynamic metabolic engineering that harnesses synthetic biological tools is a next-generation strategy for microbial chemical and fuel production. We previously reported a synthetic quorum sensing system combined with a metabolic toggle switch (QS-MTS) in E. coli. It autonomously redirected endogenous metabolic flux toward the synthetic metabolic pathway and improved biofuel production. However, its functions and effects on host metabolism were attenuated by induction timing delay. Here, we redesigned the QS-MTS to stabilize QS signaling efficiency and metabolic regulation. We performed a metabolome analysis to clarify the effects of QS-MTS redesign on host metabolism. We compared the contributions of conventional and redesigned QS-MTS to fed-batch fermentation. The redesigned QS-MTS was more conducive than the conventional QS-MTS to long-term processes such as fed-batch fermentation. Here, we present a circuit redesign for metabolic flux control based on dynamic characteristic evaluation and metabolome analysis. |
| Databáze: | OpenAIRE |
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