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Topological transition in filamentous cyanobacteria: from motion to structure

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posted on 2025-05-01, 14:53 authored by Jan CammannJan Cammann, Mixon K Faluweki, Nayara Dambacher, Lucas Goehring, Marco MazzaMarco Mazza

Many active systems are capable of forming intriguing patterns at scales significantly larger than the size of their individual constituents. Cyanobacteria are one of the most ancient and important phyla of organisms that has allowed the evolution of more complex life forms. Despite its importance, the role of motility on the pattern formation of their colonies is not understood. Here, we investigate the large-scale collective effects and rich dynamics of gliding filamentous cyanobacteria colonies, while still retaining information about the individual constituents’ dynamics and their interactions. We investigate both the colony’s transient and steady-state dynamics and find good agreement with experiments. We furthermore show that the Péclet number and aligning interaction strength govern the system’s topological transition from an isotropic distribution to a state of large-scale reticulate patterns. Although the system is topologically non-trivial, the parallel and perpendicular pair correlation functions provide structural information about the colony, and thus can be used to extract information about the early stages of biofilm formation. Finally, we find that the effects of the filaments’ length cannot be reduced to a system of interacting points. Our model proves to reproduce both cyanobacteria colonies and systems of biofilaments where curvature is transported by motility.

Funding

Sulis: An EPSRC platform for ensemble computing delivered by HPC Midlands+

Engineering and Physical Sciences Research Council

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HPC Midlands+ consortium

MPIDS

Maths Research Associates 2021 Loughborough

Engineering and Physical Sciences Research Council

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UKRI/Wellcome grant EP/T022000/1-PoLNET3

BBSRC doctoral training program (BB/T0083690/1)

History

School

  • Science

Published in

Communications Physics

Volume

7

Issue

1

Publisher

Springer Nature

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Acceptance date

2024-11-08

Publication date

2024-11-20

Copyright date

2024

eISSN

2399-3650

Language

  • en

Depositor

Dr Marco Mazza. Deposit date: 21 November 2024

Article number

376

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