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Supplementary information files for "Topological transition in filamentous cyanobacteria: from motion to structure"

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posted on 2025-05-02, 07:55 authored by Jan CammannJan Cammann, Mixon K Faluweki, Nayara Dambacher, Lucas Goehring, Marco MazzaMarco Mazza

Supplementary files for article "Topological transition in filamentous cyanobacteria: from motion to structure"

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.

© The Author(s), CC BY-4.0

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)

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