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Optimization of industrial microorganisms: recent advances in synthetic dynamic regulators

Abstract

Production of biochemicals by industrial fermentation using microorganisms requires maintaining cellular production capacity, because maximal productivity is economically important. High-productivity microbial strains can be developed using static engineering, but these may not maintain maximal productivity throughout the culture period as culture conditions and cell states change dynamically. Additionally, economic reasons limit heterologous protein expression using inducible promoters to prevent metabolic burden for commodity chemical and biofuel production. Recently, synthetic and systems biology has been used to design genetic circuits, precisely controlling gene expression or influencing genetic behavior toward a desired phenotype. Development of dynamic regulators can maintain cellular phenotype in a maximum production state in response to factors including cell concentration, oxygen, temperature, pH, and metabolites. Herein, we introduce dynamic regulators of industrial microorganism optimization and discuss metabolic flux fine control by dynamic regulators in response to metabolites or extracellular stimuli, robust production systems, and auto-induction systems using quorum sensing.

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Acknowledgements

This research was supported by the National Research Foundation of Korea (NRF) Grant (NRF-2015R1A2A1A10056126) and grants from the Advanced Biomass R&D Center (ABC) of Global Frontier Project (ABC-2015M3A6A2066119) and C1 Gas Refinery Program (NRF-2016M3D3A1A01913237) funded by the Ministry of Science, ICT & Future Planning of Korea.

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Correspondence to Gyoo Yeol Jung.

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B. E. Min and H. G. Hwang contributed equally to this work.

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Min, B.E., Hwang, H.G., Lim, H.G. et al. Optimization of industrial microorganisms: recent advances in synthetic dynamic regulators. J Ind Microbiol Biotechnol 44, 89–98 (2017). https://doi.org/10.1007/s10295-016-1867-y

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  • DOI: https://doi.org/10.1007/s10295-016-1867-y

Keywords

  • Dynamic regulator
  • Synthetic biology
  • Industrial microorganism
  • Quorum sensing
  • Transcription factors