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A novel mechanism for mechanosensory-based rheotaxis in larval zebrafish

When flying or swimming, animals must adjust their own movement to compensate for displacements induced by the flow of the surrounding air or water(1). These flow-induced displacements can most easily be detected as visual whole-field motion with respect to the animal’s frame of reference(2). In spi...

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Detalles Bibliográficos
Autores principales: Oteiza, Pablo, Odstrcil, Iris, Lauder, George, Portugues, Ruben, Engert, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873946/
https://www.ncbi.nlm.nih.gov/pubmed/28700578
http://dx.doi.org/10.1038/nature23014
Descripción
Sumario:When flying or swimming, animals must adjust their own movement to compensate for displacements induced by the flow of the surrounding air or water(1). These flow-induced displacements can most easily be detected as visual whole-field motion with respect to the animal’s frame of reference(2). In spite of this, many aquatic animals consistently orient and swim against oncoming flows (a behavior known as rheotaxis) even in the absence of visual cues(3,4). How animals achieve this task, and its underlying sensory basis, is still unknown. Here we show that in the absence of visual information, larval zebrafish (Danio rerio) perform rheotaxis by using flow velocity gradients as navigational cues. We present behavioral data that support a novel algorithm based on such local velocity gradients that fish use to efficiently avoid getting dragged by flowing water. Specifically, we show that fish use their mechanosensory lateral line to first sense the curl (or vorticity) of the local velocity vector field to detect the presence of flow and, second, measure its temporal change following swim bouts to deduce flow direction. These results reveal an elegant navigational strategy based on the sensing of flow velocity gradients and provide a comprehensive behavioral algorithm, also applicable for robotic design, that generalizes to a wide range of animal behaviors in moving fluids.