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A light tunable differentiation system for the creation and control of consortia in yeast

Author

Listed:
  • Chetan Aditya

    (Inria Paris
    Institut Pasteur
    Université de Paris)

  • François Bertaux

    (Inria Paris
    Institut Pasteur)

  • Gregory Batt

    (Inria Paris
    Institut Pasteur)

  • Jakob Ruess

    (Inria Paris
    Institut Pasteur)

Abstract

Artificial microbial consortia seek to leverage division-of-labour to optimize function and possess immense potential for bioproduction. Co-culturing approaches, the preferred mode of generating a consortium, remain limited in their ability to give rise to stable consortia having finely tuned compositions. Here, we present an artificial differentiation system in budding yeast capable of generating stable microbial consortia with custom functionalities from a single strain at user-defined composition in space and in time based on optogenetically-driven genetic rewiring. Owing to fast, reproducible, and light-tunable dynamics, our system enables dynamic control of consortia composition in continuous cultures for extended periods. We further demonstrate that our system can be extended in a straightforward manner to give rise to consortia with multiple subpopulations. Our artificial differentiation strategy establishes a novel paradigm for the creation of complex microbial consortia that are simple to implement, precisely controllable, and versatile to use.

Suggested Citation

  • Chetan Aditya & François Bertaux & Gregory Batt & Jakob Ruess, 2021. "A light tunable differentiation system for the creation and control of consortia in yeast," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26129-7
    DOI: 10.1038/s41467-021-26129-7
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    Cited by:

    1. François Bertaux & Sebastián Sosa-Carrillo & Viktoriia Gross & Achille Fraisse & Chetan Aditya & Mariela Furstenheim & Gregory Batt, 2022. "Enhancing bioreactor arrays for automated measurements and reactive control with ReacSight," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Sebastián Sosa-Carrillo & Henri Galez & Sara Napolitano & François Bertaux & Gregory Batt, 2023. "Maximizing protein production by keeping cells at optimal secretory stress levels using real-time control approaches," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    3. Zachary R. Fox & Steven Fletcher & Achille Fraisse & Chetan Aditya & Sebastián Sosa-Carrillo & Julienne Petit & Sébastien Gilles & François Bertaux & Jakob Ruess & Gregory Batt, 2022. "Enabling reactive microscopy with MicroMator," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

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