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Olfactory Behaviors Assayed by Computer Tracking Of Drosophila in a Four-quadrant Olfactometer

机译:通过四象限嗅觉计中果蝇的计算机跟踪测定的嗅觉行为。

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摘要

A key challenge in neurobiology is to understand how neural circuits function to guide appropriate animal behaviors. Drosophila melanogaster is an excellent model system for such investigations due to its complex behaviors, powerful genetic techniques, and compact nervous system. Laboratory behavioral assays have long been used with Drosophila to simulate properties of the natural environment and study the neural mechanisms underlying the corresponding behaviors (e.g. phototaxis, chemotaxis, sensory learning and memory)1-3. With the recent availability of large collections of transgenic Drosophila lines that label specific neural subsets, behavioral assays have taken on a prominent role to link neurons with behaviors4-11. Versatile and reproducible paradigms, together with the underlying computational routines for data analysis, are indispensable for rapid tests of candidate fly lines with various genotypes. Particularly useful are setups that are flexible in the number of animals tested, duration of experiments and nature of presented stimuli. The assay of choice should also generate reproducible data that is easy to acquire and analyze. Here, we present a detailed description of a system and protocol for assaying behavioral responses of Drosophila flies in a large four-field arena. The setup is used here to assay responses of flies to a single olfactory stimulus; however, the same setup may be modified to test multiple olfactory, visual or optogenetic stimuli, or a combination of these. The olfactometer setup records the activity of fly populations responding to odors, and computational analytical methods are applied to quantify fly behaviors. The collected data are analyzed to get a quick read-out of an experimental run, which is essential for efficient data collection and the optimization of experimental conditions.
机译:神经生物学的一个关键挑战是了解神经回路如何发挥功能来指导适当的动物行为。果蝇果蝇由于其复杂的行为,强大的遗传技术和紧凑的神经系统,是用于此类研究的优秀模型系统。长期以来,果蝇一直采用实验室行为分析法来模拟自然环境的性质,并研究相应行为(例如趋光性,趋化性,感官学习和记忆)的神经机制 1-3 。随着最近可收集大量标记特定神经亚群的转基因果蝇品系的出现,行为分析在将神经元与行为联系起来方面发挥了重要作用 4-11 。多功能和可重现的范例以及用于数据分析的基础计算例程,对于快速测试具有各种基因型的候选蝇系是必不可少的。在测试的动物数量,实验持续时间和所呈现刺激的性质方面灵活的设置特别有用。选择的检测方法还应生成易于获取和分析的可重复数据。在这里,我们介绍了用于在大型四场竞技场中测定果蝇蝇行为反应的系统和协议的详细说明。这里使用该设置来分析果蝇对单个嗅觉刺激的响应;但是,可以修改相同的设置以测试多种嗅觉,视觉或光遗传学刺激或这些的组合。嗅觉仪设置记录苍蝇种群对气味的反应,并应用计算分析方法对苍蝇行为进行量化。对收集的数据进行分析,以快速读取实验运行,这对于有效的数据收集和优化实验条件至关重要。

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