Document type

Article

Version

Published version

Publication date

Publication license

cc-by (c) Oriola Santandreu, David et al., 2017
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/125495

Nonlinear amplitude dynamics in flagellar beating

Journal Title

Director/Tutor

Additional contribution

Journal ISSN

Volume Title

Abstract

The physical basis of flagellar and ciliary beating is a major problem in biology which is still far from completely understood. The fundamental cytoskeleton structure of cilia and flagella is the axoneme, a cylindrical array of microtubule doublets connected by passive cross-linkers and dynein motor proteins. The complex interplay of these elements leads to the generation of self-organized bending waves. Although many mathematical models have been proposed to understand this process, few attempts have been made to assess the role of dyneins on the nonlinear nature of the axoneme. Here, we investigate the nonlinear dynamics of flagella by considering an axonemal sliding control mechanism for dynein activity. This approach unveils the nonlinear selection of the oscillation amplitudes, which are typically either missed or prescribed in mathematical models. The explicit set of nonlinear equations are derived and solved numerically. Our analysis reveals the spatio-temporal dynamics of dynein populations and flagellum shape for different regimes of motor activity, medium viscosity and flagellum elasticity. Unstable modes saturate via the coupling of dynein kinetics and flagellum shape without the need of invoking a nonlinear axonemal response. Hence, our work reveals a novel mechanism for the saturation of unstable modes in axonemal beating.

Citation

Citation

ORIOLA SANTANDREU, David, GADÊLHA, Hermes and CASADEMUNT I VIADER, Jaume. Nonlinear amplitude dynamics in flagellar beating. Royal Society Open Science. 2017. Vol. 4, num. 160698. ISSN 2054-5703. [consulted: 17 of October of 2026]. Available at: https://hdl.handle.net/2445/125495

Export metadata

JSON - METS

Share record