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三维评分揭示了二维分析掩盖的斑马鱼行为生物学现象。

Three-dimensional scoring of zebrafish behavior unveils biological phenomena hidden by two-dimensional analyses.

机构信息

Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161, Roma, Italy.

Department of Mechanical and Aerospace Engineering, New York University, Tandon School of Engineering, 6 MetroTech Center, Brooklyn, NY, 11201, USA.

出版信息

Sci Rep. 2017 May 16;7(1):1962. doi: 10.1038/s41598-017-01990-z.

Abstract

The study of zebrafish behavior represents a cornerstone upon which basic researchers promise to advance knowledge in life sciences. Although zebrafish swim in a three-dimensional (3D) space, their behavior in the lab is almost exclusively scored in two dimensions, whereby zebrafish are recorded using a single camera providing 2D videos. Whether this dimensional reduction preserves the reliability of data has not been addressed. Here we show that, compared to a 3D observation, 2D data are flawed by over-reporting and under-reporting of locomotory differences. Specifically, we first reconstructed 3D trajectories through the integration of synchronous information derived from two cameras, and then compared them with the original 2D views in classical experimental paradigms assessing shoaling tendency, fear, anxiety, and general locomotion. Our results suggest that traditional behavioral scoring of individual zebrafish performed in 2D may undermine data integrity, thereby requiring a general reconsideration of scoring zebrafish behavior to incorporate a 3D approach. We then demonstrate that, compared to 2D, a 3D approach requires a reduced number of subjects to achieve the same degree of validity. We anticipate these findings to largely benefit animal welfare by reducing the number of experimental subjects, without affecting statistical power.

摘要

斑马鱼行为研究是基础研究的基石,有望推动生命科学的发展。尽管斑马鱼在三维(3D)空间中游泳,但它们在实验室中的行为几乎完全是在二维(2D)中进行评分的,即通过提供 2D 视频的单个摄像机记录斑马鱼。这种维度的降低是否保持了数据的可靠性尚未得到解决。在这里,我们表明与 3D 观察相比,2D 数据存在过度报告和漏报运动差异的缺陷。具体来说,我们首先通过整合来自两个摄像机的同步信息来重建 3D 轨迹,然后将它们与经典实验范式中评估群体倾向、恐惧、焦虑和一般运动的原始 2D 视图进行比较。我们的研究结果表明,在 2D 中对个体斑马鱼进行的传统行为评分可能会破坏数据的完整性,因此需要重新考虑对斑马鱼行为进行评分,以纳入 3D 方法。然后,我们证明与 2D 相比,3D 方法需要较少的实验对象来达到相同的有效性。我们预计这些发现将通过减少实验对象的数量,而不影响统计能力,从而大大有利于动物福利。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5de4/5434067/43f21089d974/41598_2017_1990_Fig1_HTML.jpg

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