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Conditions for metachronal coordination in arrays of model cilia

On surfaces with many motile cilia, beats of the individual cilia coordinate to form metachronal waves. We present a theoretical framework that connects the dynamics of an individual cilium to the collective dynamics of a ciliary carpet via systematic coarse graining. We uncover the criteria that co...

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Autores principales: Meng, Fanlong, Bennett, Rachel R., Uchida, Nariya, Golestanian, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364176/
https://www.ncbi.nlm.nih.gov/pubmed/34362846
http://dx.doi.org/10.1073/pnas.2102828118
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author Meng, Fanlong
Bennett, Rachel R.
Uchida, Nariya
Golestanian, Ramin
author_facet Meng, Fanlong
Bennett, Rachel R.
Uchida, Nariya
Golestanian, Ramin
author_sort Meng, Fanlong
collection PubMed
description On surfaces with many motile cilia, beats of the individual cilia coordinate to form metachronal waves. We present a theoretical framework that connects the dynamics of an individual cilium to the collective dynamics of a ciliary carpet via systematic coarse graining. We uncover the criteria that control the selection of frequency and wave vector of stable metachronal waves of the cilia and examine how they depend on the geometric and dynamical characteristics of a single cilium, as well as the geometric properties of the array. We perform agent-based numerical simulations of arrays of cilia with hydrodynamic interactions and find quantitative agreement with the predictions of the analytical framework. Our work sheds light on the question of how the collective properties of beating cilia can be determined using information about the individual units and, as such, exemplifies a bottom-up study of a rich active matter system.
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spelling pubmed-83641762021-08-24 Conditions for metachronal coordination in arrays of model cilia Meng, Fanlong Bennett, Rachel R. Uchida, Nariya Golestanian, Ramin Proc Natl Acad Sci U S A Physical Sciences On surfaces with many motile cilia, beats of the individual cilia coordinate to form metachronal waves. We present a theoretical framework that connects the dynamics of an individual cilium to the collective dynamics of a ciliary carpet via systematic coarse graining. We uncover the criteria that control the selection of frequency and wave vector of stable metachronal waves of the cilia and examine how they depend on the geometric and dynamical characteristics of a single cilium, as well as the geometric properties of the array. We perform agent-based numerical simulations of arrays of cilia with hydrodynamic interactions and find quantitative agreement with the predictions of the analytical framework. Our work sheds light on the question of how the collective properties of beating cilia can be determined using information about the individual units and, as such, exemplifies a bottom-up study of a rich active matter system. National Academy of Sciences 2021-08-10 2021-08-06 /pmc/articles/PMC8364176/ /pubmed/34362846 http://dx.doi.org/10.1073/pnas.2102828118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Meng, Fanlong
Bennett, Rachel R.
Uchida, Nariya
Golestanian, Ramin
Conditions for metachronal coordination in arrays of model cilia
title Conditions for metachronal coordination in arrays of model cilia
title_full Conditions for metachronal coordination in arrays of model cilia
title_fullStr Conditions for metachronal coordination in arrays of model cilia
title_full_unstemmed Conditions for metachronal coordination in arrays of model cilia
title_short Conditions for metachronal coordination in arrays of model cilia
title_sort conditions for metachronal coordination in arrays of model cilia
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364176/
https://www.ncbi.nlm.nih.gov/pubmed/34362846
http://dx.doi.org/10.1073/pnas.2102828118
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