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A global resource allocation strategy governs growth transition kinetics of Escherichia coli

Author

Listed:
  • David W. Erickson

    (University of California San Diego)

  • Severin J. Schink

    (University of California San Diego
    Physics of Complex Biosystems, Technical University of Munich)

  • Vadim Patsalo

    (The Skaggs Institute for Chemical Biology, The Scripps Research Institute)

  • James R. Williamson

    (The Skaggs Institute for Chemical Biology, The Scripps Research Institute)

  • Ulrich Gerland

    (Physics of Complex Biosystems, Technical University of Munich)

  • Terence Hwa

    (University of California San Diego)

Abstract

A new approach to modelling bacterial growth removes the need to know kinetic parameters for metabolic and regulatory processes and can be used to model adaptive processes such as antibiotic responses and ecological dynamics.

Suggested Citation

  • David W. Erickson & Severin J. Schink & Vadim Patsalo & James R. Williamson & Ulrich Gerland & Terence Hwa, 2017. "A global resource allocation strategy governs growth transition kinetics of Escherichia coli," Nature, Nature, vol. 551(7678), pages 119-123, November.
    • Handle: RePEc:nat:nature:v:551:y:2017:i:7678:d:10.1038_nature24299
    DOI: 10.1038/nature24299
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    Citations

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    Cited by:

    1. Matteo Mori & Chuankai Cheng & Brian R. Taylor & Hiroyuki Okano & Terence Hwa, 2023. "Functional decomposition of metabolism allows a system-level quantification of fluxes and protein allocation towards specific metabolic functions," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Kirill Sechkar & Harrison Steel & Giansimone Perrino & Guy-Bart Stan, 2024. "A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. Duncan Ingram & Guy-Bart Stan, 2023. "Modelling genetic stability in engineered cell populations," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    4. Robert Planqué & Josephus Hulshof & Bas Teusink & Johannes C Hendriks & Frank J Bruggeman, 2018. "Maintaining maximal metabolic flux by gene expression control," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-20, September.
    5. Manlu Zhu & Xiongfeng Dai, 2023. "Stringent response ensures the timely adaptation of bacterial growth to nutrient downshift," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    6. Manlu Zhu & Xiongfeng Dai, 2024. "Shaping of microbial phenotypes by trade-offs," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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