IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v8y2017i1d10.1038_ncomms15188.html
   My bibliography  Save this article

Redesigning metabolism based on orthogonality principles

Author

Listed:
  • Aditya Vikram Pandit

    (University of Toronto)

  • Shyam Srinivasan

    (University of Toronto)

  • Radhakrishnan Mahadevan

    (University of Toronto
    Institute of Biomaterials and Biomedical Engineering, University of Toronto)

Abstract

Modifications made during metabolic engineering for overproduction of chemicals have network-wide effects on cellular function due to ubiquitous metabolic interactions. These interactions, that make metabolic network structures robust and optimized for cell growth, act to constrain the capability of the cell factory. To overcome these challenges, we explore the idea of an orthogonal network structure that is designed to operate with minimal interaction between chemical production pathways and the components of the network that produce biomass. We show that this orthogonal pathway design approach has significant advantages over contemporary growth-coupled approaches using a case study on succinate production. We find that natural pathways, fundamentally linked to biomass synthesis, are less orthogonal in comparison to synthetic pathways. We suggest that the use of such orthogonal pathways can be highly amenable for dynamic control of metabolism and have other implications for metabolic engineering.

Suggested Citation

  • Aditya Vikram Pandit & Shyam Srinivasan & Radhakrishnan Mahadevan, 2017. "Redesigning metabolism based on orthogonality principles," Nature Communications, Nature, vol. 8(1), pages 1-11, August.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15188
    DOI: 10.1038/ncomms15188
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms15188
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms15188?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
    ---><---

    Citations

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


    Cited by:

    1. Gaoyang Li & Li Liu & Wei Du & Huansheng Cao, 2023. "Local flux coordination and global gene expression regulation in metabolic modeling," Nature Communications, Nature, vol. 14(1), pages 1-18, 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:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15188. 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.