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Patterns of bacterial motility in microfluidics-confining environments.

Viola Tokárová1,2, Ayyappasamy Sudalaiyadum Perumal1, Monalisha Nayak1

  • 1Faculty of Engineering, Department of Bioengineering, McGill University, Montreal, QC H3A 0C3, Canada.

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|April 20, 2021
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Bacterial movement in confined spaces depends on the environment. Hydrodynamics dominate in moderate confinement, while steric interactions rule in tighter spaces, impacting applications like diagnostics and biocomputation.

Keywords:
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Area of Science:

  • Microbiology
  • Biophysics
  • Fluid Dynamics

Background:

  • Understanding bacterial motility in confined microenvironments is crucial for environmental, food, and biomedical applications.
  • Bacteria navigate and respond to stimuli within these spaces, influencing their distribution and behavior.

Purpose of the Study:

  • To investigate the motility behavior of five bacterial species with diverse characteristics in microfluidic environments.
  • To analyze how varying levels of confinement and geometrical complexity affect bacterial movement patterns.

Main Methods:

  • Studied five bacterial species (Vibrio natriegens, Magnetococcus marinus, Pseudomonas putida, Vibrio fischeri, Escherichia coli) in microfluidic devices.
  • Examined bacterial motility under different confinement levels and channel geometries without external flow or gradients.

Main Results:

  • In moderate confinement, bacterial motility aligns with hydrodynamic predictions, with species showing parallel or escaping wall behaviors.
  • Tighter confinement shifts motility control to steric interactions between bacteria and walls.
  • In mesoscale regions, combined hydrodynamic and steric effects can lead to smooth movement or chaotic trapping, depending on channel geometry.

Conclusions:

  • Bacterial motility in microenvironments is a complex interplay of hydrodynamics and steric interactions, influenced by confinement and geometry.
  • The findings offer a framework for designing microfluidic systems for applications such as single-cell genomics, bacterial diagnostics, and biocomputation.