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Chaos in synthetic microbial communities.

Behzad D Karkaria1, Angelika Manhart2, Alex J H Fedorec1

  • 1Department of Cell & Developmental Biology, University College London, London, United Kingdom.

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Synthetic microbial systems can exhibit chaotic behavior, posing design challenges. This study developed a method to identify and understand these chaotic dynamics in engineered microbial communities.

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Area of Science:

  • Biological Engineering
  • Synthetic Biology
  • Microbial Ecology

Background:

  • Predictability is crucial for engineered biological systems.
  • Coordinated multicellular systems risk chaotic dynamics.
  • Understanding chaos is vital for designing reliable biological systems.

Purpose of the Study:

  • To develop a methodology for exploring chaotic dynamics in microbial communities.
  • To identify conditions leading to chaotic behavior in synthetic microbial systems.
  • To provide insights for controlling chaotic dynamics in engineered ecosystems.

Main Methods:

  • Developed a methodology to explore potential chaotic dynamics.
  • Modeled microbial communities with resource competition, communication, and bacteriocin interactions.
  • Utilized Approximate Bayesian Computation (ABC) to identify oscillatory behaviors as a pathway to chaos.

Main Results:

  • Chaotic states can emerge in relatively small synthetic microbial systems.
  • Identified governing dynamics responsible for chaotic behavior.
  • Provided insights into controlling chaotic dynamics in these systems.

Conclusions:

  • This research is the first to investigate chaotic behavior in synthetic microbial communities.
  • Findings have significant implications for biotechnology, bioprocessing, and synthetic biology.
  • Understanding and controlling chaos is essential for reliable biological engineering.