Journal article
An Integrative Computational Model of Multiciliary Beating
Bulletin of mathematical biology, Vol.70(4), pp.1192-1215
05/2008
Handle:
https://hdl.handle.net/2376/100223
PMID: 18236120
Abstract
The coordinated beating of motile cilia is responsible for ovum transport in the oviduct, transport of mucus in the respiratory tract, and is the basis of motility in many single-celled organisms. The beating of a single motile cilium is achieved by the ATP-driven activation cycles of thousands of dynein molecular motors that cause neighboring microtubule doublets within the ciliary axoneme to slide relative to each other. The precise nature of the spatial and temporal coordination of these individual motors is still not completely understood. The emergent geometry and dynamics of ciliary beating is a consequence of the coupling of these internal force-generating motors, the passive elastic properties of the axonemal structure, and the external viscous, incompressible fluid. Here, we extend our integrative model of a single cilium that couples internal force generation with the surrounding fluid to the investigation of multiciliary interaction. This computational model allows us to predict the geometry of beating, along with the detailed description of the time-dependent flow field both near and away from the cilia. We show that synchrony and metachrony can, indeed, arise from hydrodynamic coupling. We also investigate the effects of viscosity and neighboring cilia on ciliary beat frequency. Moreover, since we have precise flow information, we also measure the dependence of the total flow pumped per cilium per beat upon parameters such as viscosity and ciliary spacing.
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Details
- Title
- An Integrative Computational Model of Multiciliary Beating
- Creators
- Xingzhou Yang - Center for Computational Science Tulane University New Orleans LA 70118 USARobert Dillon - Department of Mathematics Washington State University Pullman WA 99163 USALisa Fauci - Department of Mathematics Tulane University New Orleans LA 70118 USA
- Publication Details
- Bulletin of mathematical biology, Vol.70(4), pp.1192-1215
- Academic Unit
- Mathematics and Statistics, Department of
- Publisher
- Springer-Verlag; New York
- Identifiers
- 99900546512501842
- Language
- English
- Resource Type
- Journal article