It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details





1 Loughborough University, Interdisciplinary Centre for Mathematical Modelling and Department of Mathematical Sciences, Loughborough, UK (GRID:grid.6571.5) (ISNI:0000 0004 1936 8542)
2 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)
3 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)
4 Nottingham Trent University, School of Science and Technology, Nottingham, UK (GRID:grid.12361.37) (ISNI:0000 0001 0727 0669)