Active Spaghetti: Collective Organization in Cyanobacteria.


Journal

Physical review letters
ISSN: 1079-7114
Titre abrégé: Phys Rev Lett
Pays: United States
ID NLM: 0401141

Informations de publication

Date de publication:
13 Oct 2023
Historique:
received: 27 01 2023
accepted: 30 08 2023
medline: 30 10 2023
pubmed: 29 10 2023
entrez: 28 10 2023
Statut: ppublish

Résumé

Filamentous cyanobacteria can show fascinating examples of nonequilibrium self-organization, which, however, are not well understood from a physical perspective. We investigate the motility and collective organization of colonies of these simple multicellular lifeforms. As their area density increases, linear chains of cells gliding on a substrate show a transition from an isotropic distribution to bundles of filaments arranged in a reticulate pattern. Based on our experimental observations of individual behavior and pairwise interactions, we introduce a nonreciprocal model accounting for the filaments' large aspect ratio, fluctuations in curvature, motility, and nematic interactions. This minimal model of active filaments recapitulates the observations, and rationalizes the appearance of a characteristic length scale in the system, based on the Péclet number of the cyanobacteria filaments.

Identifiants

pubmed: 37897773
doi: 10.1103/PhysRevLett.131.158303
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

158303

Auteurs

Mixon K Faluweki (MK)

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, United Kingdom.
Malawi Institute of Technology, Malawi University of Science and Technology, S150 Road, Thyolo 310105, Malawi.

Jan Cammann (J)

Interdisciplinary Centre for Mathematical Modelling and Department of Mathematical Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, United Kingdom.

Marco G Mazza (MG)

Interdisciplinary Centre for Mathematical Modelling and Department of Mathematical Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, United Kingdom.
Max Planck Institute for Dynamics and Self-Organization (MPIDS), Am Faßberg 17, 37077 Göttingen, Germany.

Lucas Goehring (L)

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, United Kingdom.

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Classifications MeSH