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Shaping bacterial population behavior through computer-interfaced control of individual cells

Author

Listed:
  • Remy Chait

    (Institute of Science and Technology Austria)

  • Jakob Ruess

    (Institute of Science and Technology Austria
    Inria Saclay
    Institut Pasteur)

  • Tobias Bergmiller

    (Institute of Science and Technology Austria)

  • Gašper Tkačik

    (Institute of Science and Technology Austria)

  • Călin C. Guet

    (Institute of Science and Technology Austria)

Abstract

Bacteria in groups vary individually, and interact with other bacteria and the environment to produce population-level patterns of gene expression. Investigating such behavior in detail requires measuring and controlling populations at the single-cell level alongside precisely specified interactions and environmental characteristics. Here we present an automated, programmable platform that combines image-based gene expression and growth measurements with on-line optogenetic expression control for hundreds of individual Escherichia coli cells over days, in a dynamically adjustable environment. This integrated platform broadly enables experiments that bridge individual and population behaviors. We demonstrate: (i) population structuring by independent closed-loop control of gene expression in many individual cells, (ii) cell–cell variation control during antibiotic perturbation, (iii) hybrid bio-digital circuits in single cells, and freely specifiable digital communication between individual bacteria. These examples showcase the potential for real-time integration of theoretical models with measurement and control of many individual cells to investigate and engineer microbial population behavior.

Suggested Citation

  • Remy Chait & Jakob Ruess & Tobias Bergmiller & Gašper Tkačik & Călin C. Guet, 2017. "Shaping bacterial population behavior through computer-interfaced control of individual cells," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01683-1
    DOI: 10.1038/s41467-017-01683-1
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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. Jean-Baptiste Lugagne & Caroline M. Blassick & Mary J. Dunlop, 2024. "Deep model predictive control of gene expression in thousands of single cells," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. 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.
    4. 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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