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Analysis of the Trajectory of Drosophila melanogaster in a Circular Open Field Arena

机译:圆形开放场地竞技场中果蝇的运动轨迹分析

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摘要

BACKGROUND: 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. METHODOLOGY/PRINCIPAL FINDINGS: 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. CONCLUSIONS/SIGNIFICANCE: 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.
机译:背景:获得一个自由移动的生物的完整表型特征是一项艰巨的任务,但是在许多神经行为学研究中仍需要这种描述。当前在文献中用于描述运动和探索行为的许多度量通常基于平均数量或主观选择的空间和时间阈值。所有这些度量在时域中都相对粗糙。然而,有利的是,基于生物体在探索其环境时所采用的整个轨迹来采用度量。方法/主要发现:为了表征果蝇的运动行为,我们使用了视频跟踪系统来记录在圆形空旷场地上行走的单只苍蝇的轨迹。苍蝇被追踪了两个小时。在这里,我们介绍了在这种范例中用来分析苍蝇运动的技术,并讨论了计算方法。我们介绍的措施基于空间和时间概率分布,并利用飞行的整个时间序列轨迹,从而强调了运动行为的动态性质。检查速度,位置,节段持续时间,路径曲率和重新定向角度的边际和联合概率分布,并将其与观察到的行为相关。结论/意义:本文讨论的措施提供了单个蝇的行为的详细情况,并强调了蝇与环境的相互作用。此类措施可在任何将苍蝇的运动作为重要变量的行为研究中用作有用的工具,并且可以轻松地将其合并到许多设置中,以促进高通量表型表征。

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