Invasion of bacteria in complex fluids and environments

ORAL

Abstract

Bacteria have the remarkable ability to swim upstream, especially in non-Newtonian fluids [1,2]. This motion against flows can cause not only respiratory, gastrointestinal, and urinary tract infections, but also the contamination of medical devices and hospital equipment. However, it remains unknown how bacteria navigate upstream through these microstructured environments with narrow channels and wide cavities. Here, combining microbiology experiments with nanofabrication and mathematical modeling, we reveal how Escherichia coli invade in four stages: The (I) break-out from colonized cavities against the current, (II) propagation upstream in narrow connectors, (III) infiltration of new cavities, and (IV) colonization with biofilms under flow. Surprisingly, we find that wider channels with faster counterflows are actually more prone to invasion, but these incursions can be inhibited effectively with sharp corner designs. Next, we explore the serial invasion of multiple cavities in a row. We discover that instead of colonizing these nodes one by one slowly, the bacteria rapidly swim all the way upstream and form biofilm streamers there to take possession of the entire channel three times faster. These results shed new light on pathogen motility in host-relevant shear regimes, and they offer solutions that can be implemented directly in biomedical devices.

[1] B Torres-Maldonato, A Thery, R Tao, Q Brosseau, A Mathijssen, P Arratia, Proceedings of the National Academy of Sciences, 2024, 121, 50 e2417614121

[2] D Cao, R Tao, A Thery, M Song, A Mathijssen, Y Wu, 2024, arXiv 2408.13694

*We are grateful to Mark Goulian and Jun Zhu for providing bacterial strains. We also thank Eleni Katifori and all members of the Mathijssen lab for their support and insightful discussions. A.T. acknowledges support from the Simons Foundation (Math+X Grant awarded to the University of Pennsylvania). A.J.T.M.M. acknowledges funding from the United States Department of Agriculture (USDA-NIFA AFRI grants 2020-67017-30776 and 2020-67015-32330) and the Charles E. Kaufman Foundation (Early Investigator Research Award KA2022-129523; New Initiative Research Award KA2024-144001).

Presenters

  • Arnold JTM Mathijssen

    • University of Pennsylvania

Authors

  • Ran Tao

    • University of Pennsylvania
  • Suya Que

    • University of Pennsylvania
  • Albane Théry

    • Department of Mathematics, University of Pennsylvania
  • Arnold JTM Mathijssen

    • University of Pennsylvania