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  Motility and self-organization of gliding Chlamydomonas populations

Till, S., Ebmeier, F., Fragkopoulos, A. A., Mazza, M., & Bäumchen, O. (2021). Motility and self-organization of gliding Chlamydomonas populations. arXiv, 2108.03902.

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https://arxiv.org/abs/2108.03902 (Publisher version)
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 Creators:
Till, Sebastian1, Author           
Ebmeier, Florian2, Author           
Fragkopoulos, Alexandros A.1, Author           
Mazza, Marco2, Author           
Bäumchen, Oliver1, Author           
Affiliations:
1Group Dynamics of fluid and biological interfaces, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063300              
2Group Non-equilibrium soft matter, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063308              

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Free keywords: Physics, Biological Physics, physics.bio-ph, Condensed Matter, Soft Condensed Matter, cond-mat.soft, Condensed Matter, Statistical Mechanics, cond-mat.stat-mech
 Abstract: Cellular appendages such as cilia and flagella represent universal tools enabling cells and microbes, among other essential functionalities, to propel themselves in diverse environments. In its planktonic, i.e. freely swimming, state the unicellular bi-flagellated microbe Chlamydomonas reinhardtii employs a periodic breaststroke-like flagellar beating to displace the surrounding fluid. Another flagella-mediated motility mode is observed for surface-associated Chlamydomonas cells, which glide along the surface by means of force transduction through an intraflagellar transport machinery. Experiments and statistical motility analysis demonstrate that this gliding motility enhances clustering and supports self-organization of Chlamydomonas populations. We employ Minkowski functionals to characterize the spatiotemporal organization of the surface-associated cell monolayer. We find that simulations based on a purely mechanistic approach cannot capture the observed non-random cell configurations. Quantitative agreement with experimental data however is achieved when considering a minimal cognitive model of the flagellar mechanosensing.

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Language(s): eng - English
 Dates: 2021-08-092021-08-09
 Publication Status: Published online
 Pages: 6 pages, 4 figures
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 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 2108.03902
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Title: arXiv
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: 2108.03902 Start / End Page: - Identifier: -