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使用果蝇行走范式对黑腹果蝇气味引导行为进行高分辨率定量分析。

High-resolution Quantification of Odor-guided Behavior in Drosophila melanogaster Using the Flywalk Paradigm.

作者信息

Thoma Michael, Hansson Bill S, Knaden Markus

机构信息

Department of Evolutionary Neuroethology, Max Planck Institute for Chemical Ecology.

Department of Evolutionary Neuroethology, Max Planck Institute for Chemical Ecology;

出版信息

J Vis Exp. 2015 Dec 11(106):e53394. doi: 10.3791/53394.

Abstract

In their natural environment, insects such as the vinegar fly Drosophila melanogaster are bombarded with a huge amount of chemically distinct odorants. To complicate matters even further, the odors detected by the insect nervous system usually are not single compounds but mixtures whose composition and concentration ratios vary. This leads to an almost infinite amount of different olfactory stimuli which have to be evaluated by the nervous system. To understand which aspects of an odor stimulus determine its evaluation by the fly, it is therefore desirable to efficiently examine odor-guided behavior towards many odorants and odor mixtures. To directly correlate behavior to neuronal activity, behavior should be quantified in a comparable time frame and under identical stimulus conditions as in neurophysiological experiments. However, many currently used olfactory bioassays in Drosophila neuroethology are rather specialized either towards efficiency or towards resolution. Flywalk, an automated odor delivery and tracking system, bridges the gap between efficiency and resolution. It allows the determination of exactly when an odor packet stimulated a freely walking fly, and to determine the animal´s dynamic behavioral reaction.

摘要

在其自然环境中,诸如醋蝇黑腹果蝇之类的昆虫会受到大量化学性质不同的气味分子的轰击。更复杂的是,昆虫神经系统检测到的气味通常不是单一化合物,而是其成分和浓度比各不相同的混合物。这导致了几乎无限数量的不同嗅觉刺激,而神经系统必须对这些刺激进行评估。因此,为了了解气味刺激的哪些方面决定了果蝇对其的评估,需要有效地研究果蝇对多种气味剂和气味混合物的气味引导行为。为了使行为与神经元活动直接相关,行为应该在与神经生理学实验相同的刺激条件下,在可比的时间范围内进行量化。然而,果蝇神经行为学中目前使用的许多嗅觉生物测定法要么在效率方面,要么在分辨率方面相当专业化。Flywalk是一种自动气味输送和跟踪系统,它弥合了效率和分辨率之间的差距。它可以确定气味包何时刺激了自由行走的果蝇,并确定动物的动态行为反应。

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