Abstract

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.

Active matter systems can spontaneously form structure. Using concepts of nonequilibrium statistical physics and experiments, this work demonstrates the existence of a topological transition in filamentous cyanobacteria colonies from an isotropic distribution to dense bundles organized in a reticulate pattern.

Details

Title
Topological transition in filamentous cyanobacteria: from motion to structure
Author
Cammann, Jan 1   VIAFID ORCID Logo  ; Faluweki, Mixon K. 2   VIAFID ORCID Logo  ; Dambacher, Nayara 3   VIAFID ORCID Logo  ; Goehring, Lucas 4   VIAFID ORCID Logo  ; Mazza, Marco G. 1   VIAFID ORCID Logo 

 Loughborough University, Interdisciplinary Centre for Mathematical Modelling and Department of Mathematical Sciences, Loughborough, UK (GRID:grid.6571.5) (ISNI:0000 0004 1936 8542) 
 Nottingham Trent University, School of Science and Technology, Nottingham, UK (GRID:grid.12361.37) (ISNI:0000 0001 0727 0669); Malawi University of Science and Technology, Malawi Institute of Technology, Thyolo, Malawi (GRID:grid.493103.c) (ISNI:0000 0004 4901 9642) 
 Nottingham Trent University, School of Science and Technology, Nottingham, UK (GRID:grid.12361.37) (ISNI:0000 0001 0727 0669); University of Nottingham, School of Biosciences, Sutton Bonington Campus, UK (GRID:grid.4563.4) (ISNI:0000 0004 1936 8868) 
 Nottingham Trent University, School of Science and Technology, Nottingham, UK (GRID:grid.12361.37) (ISNI:0000 0001 0727 0669) 
Pages
376
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
23993650
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3131034190
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.