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将 iPhone® 应用程序用作功能多样的视频跟踪工具,以分析斑马鱼(Danio rerio)的行为。

iPhone® applications as versatile video tracking tools to analyze behavior in zebrafish (Danio rerio).

机构信息

Department of Biological and Environmental Sciences, Troy University, Troy, AL 36083, USA.

出版信息

Pharmacol Biochem Behav. 2013 May;106:137-42. doi: 10.1016/j.pbb.2013.03.013. Epub 2013 Apr 2.

Abstract

Zebrafish (Danio rerio) are emerging as a promising model organism for experimental studies relevant to biological psychiatry. The objective of this study was to develop a novel video-based movement tracking and analysis system to quantify behavioral changes following psychoactive drug exposure in zebrafish. We assessed the effects of withdrawal from chronic ethanol exposure, and subsequent administration of fluoxetine (Prozac®), buspirone (Buspar®), and diazepam (Valium) using two behavioral paradigms; the Novel Tank Diving Test and the Light/Dark Choice Assay. A video tracking system was developed using two Apple® applications (Apps) to quantify these behaviors. Data from zebrafish exposed to the above treatments are presented in this paper not only to exemplify behavioral alterations associated with chronic exposure, but also more importantly, to validate the video tracking system. Following withdrawal from chronic ethanol exposure, zebrafish exhibited dose/time-dependent anxiogenic effects; including reduced exploration and freezing behavior in the Novel Tank Diving Test, and preference for the dark area for the Light/Dark Choice Assay. In contrast, the above drug treatments had significant anxiolytic effects. We have developed a simple and cost-effective method of measuring zebrafish behavioral responses. The iPhone® Apps outlined in this study offer numerous flexible methods of data acquisition; namely, ease of identification and tracking of multiple animals, tools for visualization of the tracks, and calculation of a range of analysis parameters. Furthermore, the limited amount of time required for interpretation of the video data makes this a powerful high-throughput tool with potential applications for pre-clinical drug development.

摘要

斑马鱼(Danio rerio)正逐渐成为生物学精神病学实验研究的一种有前途的模式生物。本研究的目的是开发一种新的基于视频的运动跟踪和分析系统,以量化活性药物暴露后斑马鱼的行为变化。我们评估了慢性乙醇暴露后的戒断以及随后给予氟西汀(Prozac®)、丁螺环酮(Buspar®)和地西泮(Valium)的影响,使用了两种行为范式;新鱼缸潜水测试和明暗选择测试。使用两个 Apple®应用程序(Apps)开发了一个视频跟踪系统来量化这些行为。本文介绍了暴露于上述处理的斑马鱼的数据,不仅说明了与慢性暴露相关的行为改变,而且更重要的是验证了视频跟踪系统。从慢性乙醇暴露中撤出后,斑马鱼表现出剂量/时间依赖性的焦虑效应;包括在新鱼缸潜水测试中探索和冻结行为减少,以及对明暗选择测试中的黑暗区域的偏好。相比之下,上述药物治疗具有显著的抗焦虑作用。我们已经开发出一种简单且具有成本效益的测量斑马鱼行为反应的方法。本研究中概述的 iPhone®Apps 提供了许多灵活的数据采集方法;即,易于识别和跟踪多个动物,跟踪工具,以及计算一系列分析参数。此外,解释视频数据所需的时间有限,这使得它成为一种强大的高通量工具,具有用于临床前药物开发的潜在应用。

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