Literature DB >> 18203989

Performance trade-offs in the flight initiation of Drosophila.

Gwyneth Card1, Michael Dickinson.   

Abstract

The fruit fly Drosophila melanogaster performs at least two distinct types of flight initiation. One kind is a stereotyped escape response to a visual stimulus that is mediated by the hard-wired giant fiber neural pathway, and the other is a more variable ;voluntary' response that can be performed without giant fiber activation. Because the simpler escape take-offs are apparently successful, it is unclear why the fly has multiple pathways to coordinate flight initiation. In this study we use high-speed videography to observe flight initiation in unrestrained wild-type flies and assess the flight performance of each of the two types of take-off. Three-dimensional kinematic analysis of take-off sequences indicates that wing use during the jumping phase of flight initiation is essential for stabilizing flight. During voluntary take-offs, early wing elevation leads to a slower and more stable take-off. In contrast, during visually elicited escapes, the wings are pulled down close to the body during take-off, resulting in tumbling flights in which the fly translates faster but also rotates rapidly about all three of its body axes. Additionally, we find evidence that the power delivered by the legs is substantially greater during visually elicited escapes than during voluntary take-offs. Thus, we find that the two types of Drosophila flight initiation result in different flight performances once the fly is airborne, and that these performances are distinguished by a trade-off between speed and stability.

Entities:  

Mesh:

Year:  2008        PMID: 18203989     DOI: 10.1242/jeb.012682

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  46 in total

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5.  A size principle for recruitment of Drosophila leg motor neurons.

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6.  Optogenetic stimulation of escape behavior in Drosophila melanogaster.

Authors:  Saskia E J de Vries; Tom Clandinin
Journal:  J Vis Exp       Date:  2013-01-25       Impact factor: 1.355

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Authors:  Sawyer Buckminster Fuller; Andrew D Straw; Martin Y Peek; Richard M Murray; Michael H Dickinson
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8.  A spike-timing mechanism for action selection.

Authors:  Catherine R von Reyn; Patrick Breads; Martin Y Peek; Grace Zhiyu Zheng; W Ryan Williamson; Alyson L Yee; Anthony Leonardo; Gwyneth M Card
Journal:  Nat Neurosci       Date:  2014-06-08       Impact factor: 24.884

9.  Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.

Authors:  Weizhe Hong; Ann Kennedy; Xavier P Burgos-Artizzu; Moriel Zelikowsky; Santiago G Navonne; Pietro Perona; David J Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-09       Impact factor: 11.205

10.  Neuromechanical simulation.

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Journal:  Front Behav Neurosci       Date:  2010-07-14       Impact factor: 3.558

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