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