IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v528y2015i7580d10.1038_nature15765.html
   My bibliography  Save this article

Overflow metabolism in Escherichia coli results from efficient proteome allocation

Author

Listed:
  • Markus Basan

    (University of California at San Diego
    Institute of Molecular Systems Biology)

  • Sheng Hui

    (University of California at San Diego)

  • Hiroyuki Okano

    (University of California at San Diego
    Section of Molecular Biology, University of California at San Diego)

  • Zhongge Zhang

    (Section of Molecular Biology, University of California at San Diego)

  • Yang Shen

    (Section of Molecular Biology, University of California at San Diego)

  • James R. Williamson

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

  • Terence Hwa

    (University of California at San Diego
    Section of Molecular Biology, University of California at San Diego
    Institute for Theoretical Studies)

Abstract

Overflow metabolism refers to the seemingly wasteful strategy in which cells use fermentation instead of the more efficient respiration to generate energy, despite the availability of oxygen. Known as the Warburg effect in the context of cancer growth, this phenomenon occurs ubiquitously for fast-growing cells, including bacteria, fungi and mammalian cells, but its origin has remained unclear despite decades of research. Here we study metabolic overflow in Escherichia coli, and show that it is a global physiological response used to cope with changing proteomic demands of energy biogenesis and biomass synthesis under different growth conditions. A simple model of proteomic resource allocation can quantitatively account for all of the observed behaviours, and accurately predict responses to new perturbations. The key hypothesis of the model, that the proteome cost of energy biogenesis by respiration exceeds that by fermentation, is quantitatively confirmed by direct measurement of protein abundances via quantitative mass spectrometry.

Suggested Citation

  • Markus Basan & Sheng Hui & Hiroyuki Okano & Zhongge Zhang & Yang Shen & James R. Williamson & Terence Hwa, 2015. "Overflow metabolism in Escherichia coli results from efficient proteome allocation," Nature, Nature, vol. 528(7580), pages 99-104, December.
  • Handle: RePEc:nat:nature:v:528:y:2015:i:7580:d:10.1038_nature15765
    DOI: 10.1038/nature15765
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature15765
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature15765?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Manlu Zhu & Yiheng Wang & Haoyan Mu & Fei Han & Qian Wang & Yongfu Pei & Xin Wang & Xiongfeng Dai, 2024. "Plasmid-encoded phosphatase RapP enhances cell growth in non-domesticated Bacillus subtilis strains," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Christian Schulz & Tjasa Kumelj & Emil Karlsen & Eivind Almaas, 2021. "Genome-scale metabolic modelling when changes in environmental conditions affect biomass composition," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-22, May.
    3. 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.
    4. Marcelo Rivas-Astroza & Raúl Conejeros, 2020. "Metabolic flux configuration determination using information entropy," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-19, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:528:y:2015:i:7580:d:10.1038_nature15765. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.