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Visualizing self-generated gradients of chemoattractants by bacteria

ORAL

Abstract

Chemotactic bacteria such as E. coli can bias their motility in response to local concentrations of chemicals, which are also influenced by the bacteria themselves. Here, we repurpose a fluorescent sensor for the attractant aspartate, developed in the neuroscience community, to visualize self-generated gradients during collective bacterial migration. Our preliminary results are consistent with a Patlak-Keller-Segel-type model of collective migration. However, they also suggest that the presence of multiple attractants, like oxygen, can generate complex, geometry-dependent spatial arrangements of chemotaxis phenotypes.

Presenters

  • Trung V Phan

    Princeton University, Yale University

Authors

  • Trung V Phan

    Princeton University, Yale University

  • Henry H Mattingly

    CCB, Flatiron Institute, Simons Foundation, Simons Flatiron Institute

  • Jonathan Marvin

    Janelia Research Campus

  • Lam Vo

    Yale University

  • Loren Loogan

    UC San Diego

  • Thierry Emonet

    MCDB, Physics, QBio Institute, Yale University, Yale University, Yale university