IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v8y2017i1d10.1038_ncomms15028.html
   My bibliography  Save this article

Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models

Author

Listed:
  • In Young Hwang

    (Yong Loo Lin School of Medicine, National University of Singapore
    NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National University of Singapore)

  • Elvin Koh

    (Yong Loo Lin School of Medicine, National University of Singapore
    NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National University of Singapore)

  • Adison Wong

    (Yong Loo Lin School of Medicine, National University of Singapore
    NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National University of Singapore)

  • John C. March

    (Cornell University)

  • William E. Bentley

    (University of Maryland)

  • Yung Seng Lee

    (NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National University of Singapore
    Yong Loo Lin School of Medicine, National University of Singapore)

  • Matthew Wook Chang

    (Yong Loo Lin School of Medicine, National University of Singapore
    NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Life Sciences Institute, National University of Singapore)

Abstract

Bacteria can be genetically engineered to kill specific pathogens or inhibit their virulence. We previously developed a synthetic genetic system that allows a laboratory strain of Escherichia coli to sense and kill Pseudomonas aeruginosa in vitro. Here, we generate a modified version of the system, including a gene encoding an anti-biofilm enzyme, and use the probiotic strain Escherichia coli Nissle 1917 as host. The engineered probiotic shows in vivo prophylactic and therapeutic activity against P. aeruginosa during gut infection in two animal models (Caenorhabditis elegans and mice). These findings support the further development of engineered microorganisms with potential prophylactic and therapeutic activities against gut infections.

Suggested Citation

  • In Young Hwang & Elvin Koh & Adison Wong & John C. March & William E. Bentley & Yung Seng Lee & Matthew Wook Chang, 2017. "Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models," Nature Communications, Nature, vol. 8(1), pages 1-11, April.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15028
    DOI: 10.1038/ncomms15028
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms15028
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms15028?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. Brian D. Huang & Thomas M. Groseclose & Corey J. Wilson, 2022. "Transcriptional programming in a Bacteroides consortium," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Austin G. Rottinghaus & Aura Ferreiro & Skye R. S. Fishbein & Gautam Dantas & Tae Seok Moon, 2022. "Genetically stable CRISPR-based kill switches for engineered microbes," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    3. Elvin Koh & In Young Hwang & Hui Ling Lee & Ryan De Sotto & Jonathan Wei Jie Lee & Yung Seng Lee & John C. March & Matthew Wook Chang, 2022. "Engineering probiotics to inhibit Clostridioides difficile infection by dynamic regulation of intestinal metabolism," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    4. Betz, Ulrich A.K. & Arora, Loukik & Assal, Reem A. & Azevedo, Hatylas & Baldwin, Jeremy & Becker, Michael S. & Bostock, Stefan & Cheng, Vinton & Egle, Tobias & Ferrari, Nicola & Schneider-Futschik, El, 2023. "Game changers in science and technology - now and beyond," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    5. Chang Ge & Zheng Yu & Huakang Sheng & Xiaolin Shen & Xinxiao Sun & Yifei Zhang & Yajun Yan & Jia Wang & Qipeng Yuan, 2022. "Redesigning regulatory components of quorum-sensing system for diverse metabolic control," Nature Communications, Nature, vol. 13(1), pages 1-12, 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_ncomms15028. 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.