Analysis of the trajectory of Drosophila melanogaster in a circular open field arena.
Analysis of the trajectory of Drosophila melanogaster in a circular open field arena.
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DOI：
10.1371/journal.pone.0001083
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发表时间：
2007-10-24
期刊：
影响因子：
3.7
通讯作者：
Mitra PP
中科院分区：
文献类型：
--
作者：
Valente D;Golani I;Mitra PP
获得一个自由活动的生物体的完整表型特征是一项艰巨的任务，然而，许多神经行为学研究都希望有这样的描述。目前文献中用于描述运动和探索行为的许多度量标准通常基于平均量或主观选择的空间和时间阈值。所有这些措施在时间域上都是相对粗粒度的。然而，使用基于有机体在探索其环境时所走的整个轨迹的度量是有利的。为了表征果蝇的运动行为，我们使用视频跟踪系统记录了一只苍蝇在圆形开阔场地上行走的轨迹。这只苍蝇被跟踪了两个小时。在这里，我们介绍了在这个范例中分析苍蝇运动的技术，并讨论了计算方法。我们介绍的方法是基于时空概率分布，并利用苍蝇的整个时间序列轨迹，从而强调运动行为的动态性质。研究了速度、位置、分段持续时间、路径曲率和重定向角度的边缘概率分布和联合概率分布，并将其与观察到的行为相关联。本文讨论的措施提供了单个苍蝇行为的详细概况，并突出了苍蝇与环境的相互作用。在任何以苍蝇的运动为重要变量的行为研究中，这种测量都可以作为有用的工具，并且可以很容易地并入许多设置中，从而促进高通量的表型表征。
Obtaining a complete phenotypic characterization of a freely moving organism is a difficult task, yet such a description is desired in many neuroethological studies. Many metrics currently used in the literature to describe locomotor and exploratory behavior are typically based on average quantities or subjectively chosen spatial and temporal thresholds. All of these measures are relatively coarse-grained in the time domain. It is advantageous, however, to employ metrics based on the entire trajectory that an organism takes while exploring its environment. To characterize the locomotor behavior of Drosophila melanogaster, we used a video tracking system to record the trajectory of a single fly walking in a circular open field arena. The fly was tracked for two hours. Here, we present techniques with which to analyze the motion of the fly in this paradigm, and we discuss the methods of calculation. The measures we introduce are based on spatial and temporal probability distributions and utilize the entire time-series trajectory of the fly, thus emphasizing the dynamic nature of locomotor behavior. Marginal and joint probability distributions of speed, position, segment duration, path curvature, and reorientation angle are examined and related to the observed behavior. The measures discussed in this paper provide a detailed profile of the behavior of a single fly and highlight the interaction of the fly with the environment. Such measures may serve as useful tools in any behavioral study in which the movement of a fly is an important variable and can be incorporated easily into many setups, facilitating high-throughput phenotypic characterization.
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