Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak–Keller–Segel chemotaxis model

Author:

Phan Trung V.12,Mattingly Henry H.3ORCID,Vo Lam12ORCID,Marvin Jonathan S.4ORCID,Looger Loren L.456ORCID,Emonet Thierry127ORCID

Affiliation:

1. Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511

2. Quantitative Biology Institute, Yale University, New Haven, CT 06511

3. Center for Computational Biology, Flatiron Institute, New York, NY 10010

4. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147

5. HHMI, University of California, San Diego, CA 92093

6. Department of Neurosciences, University of California, San Diego, CA 92093

7. Department of Physics, Yale University, New Haven, CT 06511

Abstract

Chemotactic bacteria not only navigate chemical gradients, but also shape their environments by consuming and secreting attractants. Investigating how these processes influence the dynamics of bacterial populations has been challenging because of a lack of experimental methods for measuring spatial profiles of chemoattractants in real time. Here, we use a fluorescent sensor for aspartate to directly measure bacterially generated chemoattractant gradients during collective migration. Our measurements show that the standard Patlak–Keller–Segel model for collective chemotactic bacterial migration breaks down at high cell densities. To address this, we propose modifications to the model that consider the impact of cell density on bacterial chemotaxis and attractant consumption. With these changes, the model explains our experimental data across all cell densities, offering insight into chemotactic dynamics. Our findings highlight the significance of considering cell density effects on bacterial behavior, and the potential for fluorescent metabolite sensors to shed light on the complex emergent dynamics of bacterial communities.

Funder

HHS | NIH | National Institute of General Medical Sciences

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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