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Genome-Scale Modeling and Systems Metabolic Engineering of Vibrio natriegens for the Production of 1,3-Propanediol

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Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2553))

Abstract

The fastest-growing bacterium Vibrio natriegens is a highly promising next-generation workhorse for molecular biology and industrial biotechnology. In this work, we described the workflows for developing genome-scale metabolic models and genome-editing protocols for engineering Vibrio natriegens. A case study for metabolic engineering of Vibrio natriegens for the production of 1,3-propanediol was also presented.

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Acknowledgments

This work was supported by genome-scale metabolic model the National Natural Science Foundation of China (Grant Nos. 21878172, 21938004, and 22078172), the National Key R&D Program of China (No. 2018YFA0901500), and the DongGuan Innovative Research Team Program (No. 201536000100033).

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Authors and Affiliations

  1. Key Laboratory for Industrial Biocatalysis (Ministry of Education), Department of Chemical Engineering, Tsinghua University, Beijing, China

    Ye Zhang, Dehua Liu & Zhen Chen

  2. Tsinghua Innovation Center in Dongguan, Dongguan, China

    Dehua Liu & Zhen Chen

  3. Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China

    Dehua Liu & Zhen Chen

Authors
  1. Ye Zhang
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  2. Dehua Liu
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  3. Zhen Chen
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Corresponding author

Correspondence to Zhen Chen .

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Editors and Affiliations

  1. Bioinformatics Institute, Agency for Science, Technology & Research, Singapore, Singapore

    Kumar Selvarajoo

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Zhang, Y., Liu, D., Chen, Z. (2023). Genome-Scale Modeling and Systems Metabolic Engineering of Vibrio natriegens for the Production of 1,3-Propanediol. In: Selvarajoo, K. (eds) Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology. Methods in Molecular Biology, vol 2553. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2617-7_11

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  • DOI: https://doi.org/10.1007/978-1-0716-2617-7_11

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2616-0

  • Online ISBN: 978-1-0716-2617-7

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