IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-45011-w.html
   My bibliography  Save this article

Compositional and temporal division of labor modulates mixed sugar fermentation by an engineered yeast consortium

Author

Listed:
  • Jonghyeok Shin

    (University of Illinois at Urbana-Champaign
    Korea Research Institute of Bioscience and Biotechnology (KRIBB))

  • Siqi Liao

    (University of Illinois at Urbana–Champaign)

  • Nurzhan Kuanyshev

    (University of Illinois at Urbana-Champaign)

  • Yongping Xin

    (University of Illinois at Urbana–Champaign)

  • Chanwoo Kim

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana-Champaign)

  • Ting Lu

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana–Champaign
    University of Illinois at Urbana–Champaign)

  • Yong-Su Jin

    (University of Illinois at Urbana-Champaign
    University of Illinois at Urbana-Champaign)

Abstract

Synthetic microbial communities have emerged as an attractive route for chemical bioprocessing. They are argued to be superior to single strains through microbial division of labor (DOL), but the exact mechanism by which DOL confers advantages remains unclear. Here, we utilize a synthetic Saccharomyces cerevisiae consortium along with mathematical modeling to achieve tunable mixed sugar fermentation to overcome the limitations of single-strain fermentation. The consortium involves two strains with each specializing in glucose or xylose utilization for ethanol production. By controlling initial community composition, DOL allows fine tuning of fermentation dynamics and product generation. By altering inoculation delay, DOL provides additional programmability to parallelly regulate fermentation characteristics and product yield. Mathematical models capture observed experimental findings and further offer guidance for subsequent fermentation optimization. This study demonstrates the functional potential of DOL in bioprocessing and provides insight into the rational design of engineered ecosystems for various applications.

Suggested Citation

  • Jonghyeok Shin & Siqi Liao & Nurzhan Kuanyshev & Yongping Xin & Chanwoo Kim & Ting Lu & Yong-Su Jin, 2024. "Compositional and temporal division of labor modulates mixed sugar fermentation by an engineered yeast consortium," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45011-w
    DOI: 10.1038/s41467-024-45011-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-45011-w
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-45011-w?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
    ---><---

    References listed on IDEAS

    as
    1. Frank Thieme & Carola Engler & Romy Kandzia & Sylvestre Marillonnet, 2011. "Quick and Clean Cloning: A Ligation-Independent Cloning Strategy for Selective Cloning of Specific PCR Products from Non-Specific Mixes," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-12, June.
    2. Teng Bao & Yuanchao Qian & Yongping Xin & James J. Collins & Ting Lu, 2023. "Engineering microbial division of labor for plastic upcycling," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhen Yu & Yang Li & Yaoxin Zhang & Ping Xu & Chade Lv & Wulong Li & Bushra Maryam & Xianhua Liu & Swee Ching Tan, 2024. "Microplastic detection and remediation through efficient interfacial solar evaporation for immaculate water production," Nature Communications, Nature, vol. 15(1), pages 1-10, 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:15:y:2024:i:1:d:10.1038_s41467-024-45011-w. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.