English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A novel mechanism for mechanosensory-based rheotaxis in larval zebrafish

Oteiza, P., Odstrcil, I., Lauder, G., Portugues, R., & Engert, F. (2017). A novel mechanism for mechanosensory-based rheotaxis in larval zebrafish. Nature, 547(7664), 445-448. doi:10.1038/nature23014.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-CC8B-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-CC8C-2
Genre: Journal Article

Files

show Files

Creators

show
hide
 Creators:
Oteiza, Pablo1, Author              
Odstrcil, Iris2, Author
Lauder, George2, Author
Portugues, Ruben1, Author              
Engert, Florian2, Author
Affiliations:
1Max Planck Research Group: Sensorimotor Control / Portugues, MPI of Neurobiology, Max Planck Society, ou_2054291              
2external, ou_persistent22              

Content

show
hide
Free keywords: POSTERIOR LATERAL-LINE; FLOW; RHEOTROPISM; FISHESScience & Technology - Other Topics;
 Abstract: 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). Despite this, many aquatic animals consistently orient and swim against oncoming flows (a behaviour 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 behavioural data that support a novel algorithm based on such local velocity gradients that fish use to 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, to measure its temporal change after 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 behavioural algorithm, also applicable for robotic design, that generalizes to a wide range of animal behaviours in moving fluids.

Details

show
hide
Language(s): eng - English
 Dates: 2017-07-122017-07-27
 Publication Status: Published in print
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: ISI: 000406358300034
DOI: 10.1038/nature23014
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Nature
  Abbreviation : Nature
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 547 (7664) Sequence Number: - Start / End Page: 445 - 448 Identifier: ISSN: 0028-0836
CoNE: /journals/resource/954925427238