Heterogeneous bacterial swarms with mixed lengths.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 25 11 2020
accepted: 02 03 2021
entrez: 17 4 2021
pubmed: 18 4 2021
medline: 28 10 2021
Statut: ppublish

Résumé

Heterogeneous systems of active matter exhibit a range of complex emergent dynamical patterns. In particular, it is difficult to predict the properties of the mixed system based on its constituents. These considerations are particularly significant for understanding realistic bacterial swarms, which typically develop heterogeneities even when grown from a single cell. Here, mixed swarms of cells with different aspect ratios are studied both experimentally and in simulations. In contrast with previous theory, there is no macroscopic phase segregation. However, locally, long cells act as nucleation cites, around which aggregates of short, rapidly moving cells can form, resulting in enhanced swarming speeds. On the other hand, high fractions of long cells form a bottleneck for efficient swarming. Our results suggest a physical advantage for the spontaneous heterogeneity of bacterial swarm populations.

Identifiants

pubmed: 33862716
doi: 10.1103/PhysRevE.103.032413
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

032413

Auteurs

Shlomit Peled (S)

Zuckerberg Institute for Water Research, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus 84990, Midreshet Ben-Gurion, Israel.

Shawn D Ryan (SD)

Department of Mathematics and Statistics, Cleveland State University, Cleveland, Ohio 44115, USA.
Center for Applied Data Analysis and Modeling, Cleveland State University, Cleveland, Ohio 44115, USA.

Sebastian Heidenreich (S)

Department of Mathematical Modelling and Data Analysis, Physikalisch-Technische Bundesanstalt Braunschweig und Berlin, Abbestrasse 2-12, D-10587 Berlin, Germany.

Markus Bär (M)

Department of Mathematical Modelling and Data Analysis, Physikalisch-Technische Bundesanstalt Braunschweig und Berlin, Abbestrasse 2-12, D-10587 Berlin, Germany.

Gil Ariel (G)

Department of Mathematics, Bar-Ilan University, Ramat Gan 52900, Israel.

Avraham Be'er (A)

Zuckerberg Institute for Water Research, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus 84990, Midreshet Ben-Gurion, Israel.
Department of Physics, Ben-Gurion University of the Negev 84105, Beer-Sheva, Israel.

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