Literature DB >> 9418031

Aerial performance of Drosophila melanogaster from populations selected for upwind flight ability.

J H Marden1, M R Wolf, K E Weber.   

Abstract

A computerized system for three-dimensional tracking of large numbers of individual free-flying insects was used to assess the performance of Drosophila melanogaster from populations that had undergone 160 generations of selection for upwind flight ability. Compared with control lines, the selected lines showed significant increases in mean flight velocity, decreases in angular trajectory and a significant change in the interaction between velocity and angular trajectory. Maximal flight velocity was apparent as a sharply defined upper boundary of the distribution of horizontal and vertical velocity as a function of angular trajectory; this upper bound (0.85 ms-1) differed little between the selected and control lines, although individuals from the selected lines attained maximal performance levels much more frequently. Maximum induced power output was calculated directly from the product of maximum vertical velocity and body weight. This measure (28 W kg-1 muscle) was closely predicted by a scaling relationship derived from the load-lifting limits of larger insects and vertebrates, as well as tethered D. melanogaster stimulated via their optomotor reflex to produce maximal lift. These results indicate that selection for flight performance can readily alter the relative effort and/or the frequency of phenotypes capable of attaining population-wise maximal performance levels, but shows little ability to increase population-wise maximal performance.

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Year:  1997        PMID: 9418031     DOI: 10.1242/jeb.200.21.2747

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


  8 in total

1.  Conditional tradeoffs between aging and organismal performance of Indy long-lived mutant flies.

Authors:  James H Marden; Blanka Rogina; Kristi L Montooth; Stephen L Helfand
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-07       Impact factor: 11.205

2.  Flux control and excess capacity in the enzymes of glycolysis and their relationship to flight metabolism in Drosophila melanogaster.

Authors:  Walter F Eanes; Thomas J S Merritt; Jonathan M Flowers; Seiji Kumagai; Efe Sezgin; Chen-Tseh Zhu
Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-11       Impact factor: 11.205

3.  Embodied linearity of speed control in Drosophila melanogaster.

Authors:  V Medici; S N Fry
Journal:  J R Soc Interface       Date:  2012-08-29       Impact factor: 4.118

4.  Transduction in Drosophila olfactory receptor neurons is invariant to air speed.

Authors:  Yi Zhou; Rachel I Wilson
Journal:  J Neurophysiol       Date:  2012-07-18       Impact factor: 2.714

5.  A candidate locus for variation in dispersal rate in a butterfly metapopulation.

Authors:  Christoph R Haag; Marjo Saastamoinen; James H Marden; Ilkka Hanski
Journal:  Proc Biol Sci       Date:  2005-12-07       Impact factor: 5.349

6.  Using GFP video to track 3D movement and conditional gene expression in free-moving flies.

Authors:  Reza Ardekani; Yichuan Michelle Huang; Prathamesh Sancheti; Ramunas Stanciauskas; Simon Tavaré; John Tower
Journal:  PLoS One       Date:  2012-07-19       Impact factor: 3.240

7.  Multi-camera real-time three-dimensional tracking of multiple flying animals.

Authors:  Andrew D Straw; Kristin Branson; Titus R Neumann; Michael H Dickinson
Journal:  J R Soc Interface       Date:  2010-07-14       Impact factor: 4.118

8.  Enhanced flight performance by genetic manipulation of wing shape in Drosophila.

Authors:  Robert P Ray; Toshiyuki Nakata; Per Henningsson; Richard J Bomphrey
Journal:  Nat Commun       Date:  2016-03-01       Impact factor: 14.919

  8 in total

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