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Developing a pathway-independent and full-autonomous global resource allocation strategy to dynamically switching phenotypic states

Author

Listed:
  • Junjun Wu

    (Nanjing Agricultural University)

  • Meijiao Bao

    (Nanjing Agricultural University)

  • Xuguo Duan

    (Nanjing Forestry University)

  • Peng Zhou

    (Nanjing Agricultural University)

  • Caiwen Chen

    (Nanjing Agricultural University)

  • Jiahua Gao

    (Nanjing Agricultural University)

  • Shiyao Cheng

    (Nanjing Agricultural University)

  • Qianqian Zhuang

    (School of Bioengineering, Qilu University of Technology)

  • Zhijun Zhao

    (Biorefinery Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences)

Abstract

A grand challenge of biological chemical production is the competition between synthetic circuits and host genes for limited cellular resources. Quorum sensing (QS)-based dynamic pathway regulations provide a pathway-independent way to rebalance metabolic flux over the course of the fermentation. Most cases, however, these pathway-independent strategies only have capacity for a single QS circuit functional in one cell. Furthermore, current dynamic regulations mainly provide localized control of metabolic flux. Here, with the aid of engineering synthetic orthogonal quorum-related circuits and global mRNA decay, we report a pathway-independent dynamic resource allocation strategy, which allows us to independently controlling two different phenotypic states to globally redistribute cellular resources toward synthetic circuits. The strategy which could pathway-independently and globally self-regulate two desired cell phenotypes including growth and production phenotypes could totally eliminate the need for human supervision of the entire fermentation.

Suggested Citation

  • Junjun Wu & Meijiao Bao & Xuguo Duan & Peng Zhou & Caiwen Chen & Jiahua Gao & Shiyao Cheng & Qianqian Zhuang & Zhijun Zhao, 2020. "Developing a pathway-independent and full-autonomous global resource allocation strategy to dynamically switching phenotypic states," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19432-2
    DOI: 10.1038/s41467-020-19432-2
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