2023
DOI: 10.1038/s41467-023-40338-2
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The reaction-diffusion basis of animated patterns in eukaryotic flagella

James F. Cass,
Hermes Bloomfield-Gadêlha

Abstract: The flagellar beat of bull spermatozoa and C. Reinhardtii are modelled by a minimal, geometrically exact, reaction-diffusion system. Spatio-temporal animated patterns describe flagellar waves, analogous to chemical-patterns from classical reaction-diffusion systems, with sliding-controlled molecular motor reaction-kinetics. The reaction-diffusion system is derived from first principles as a consequence of the high-internal dissipation by the flagellum relative to the external hydrodynamic dissipation. Quantita… Show more

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Cited by 11 publications
(3 citation statements)
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“…For a deeper, biologically pertinent understanding, future work should explore models of ciliary oscillation driven by dynein motors. 11–22…”
Section: Conclusion and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…For a deeper, biologically pertinent understanding, future work should explore models of ciliary oscillation driven by dynein motors. 11–22…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…A variety of models have been proposed to elucidate the mechanisms of how dynein motors power spontaneous ciliary oscillation. 11–22 Despite these efforts to achieve mechanistic understanding, the proposed models have also facilitated the investigation on synchronisation of two active filaments 23–25 and the emergence of metachronal waves generated by multiple filaments, 26,27 focusing on inter-filament interactions. More recently, motivated by the typically non-Newtonian bodily fluids hosting cilia and flagella, research has been conducted on a spontaneously oscillating filament in viscoelastic 28 or shear-thinning/thickening fluids.…”
Section: Introductionmentioning
confidence: 99%
“…Our proposed theoretical framework considers numerous factors that affect pattern formation. The parameters related to the motility of cells 54 and the culture environment properties determine the morphologies of pattern formation. In this section, we investigate how these parameters affect the development of diverse biological patterns.…”
Section: Pattern Formation Under Diverse Model Parametersmentioning
confidence: 99%