Mathematical and Computational Modeling of Bacterial Motility and Swarming

Doctoral Dissertation

Abstract

Multiscale computational and mathematical models play an important role in obtaining a better understanding of bacterial swarming and motility. For example, the very social Myxococcus xanthus, a bacterium commonly found in soil and known for its multicellular interactions, can be modeled using the subcellular element method. Using this model, the role of cell flexibility, cell-cell adhesion, and cellular reversal periods can be studied. To characterize cell-cell interactions, the contacts between cells in simulations are analyzed to determine how these properties influence the populations’ ability to form and keep cell-cell connections. M. xanthus are able to share outer membrane proteins through direct cell contact, and the study of these properties is important for determining the populations’ ability to efficiently share protein.

The study of bacterial motility systems can also motivate advances in bioengineering. Microfluidics devices carry very small volumes of liquid though channels and have been used in many biological applications including drug discovery and development. In many microfluidic experiments, it would be useful to mix the fluid within the chamber. However, the traditional methods of mixing and pumping at large length scales don’t work at small length scales. Bacterial carpets are created by attaching bacteria to a substrate while allowing their flagella to freely rotate and may provide a solution to this problem. The method of regularized stokeslets is implemented to model fluid flow above simulated bacterial carpets and compare findings to preliminary experimental studies.

Attributes

Attribute NameValues
URN
  • etd-04172015-150013

Author Amy Lyn Buchmann
Advisor Mark Alber
Contributor Zhiliang Xu, Committee Member
Contributor Alexandra Jilkine, Committee Member
Contributor Martina Bukač, Committee Member
Contributor Mark Alber, Committee Chair
Degree Level Doctoral Dissertation
Degree Discipline Applied and Computational Mathematics and Statistics
Degree Name PhD
Defense Date
  • 2015-03-26

Submission Date 2015-04-17
Country
  • United States of America

Subject
  • Simulation

  • Modeling

  • Bacteria

Publisher
  • University of Notre Dame

Language
  • English

Record Visibility and Access Public
Content License
  • All rights reserved

Departments and Units

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