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墨西哥洞螈的行为追踪与神经丘成像

Behavioral Tracking and Neuromast Imaging of Mexican Cavefish.

作者信息

Worsham McLean, Fernandes Vânia Filipa Lima, Settle Alexander, Balaan Chantell, Lactaoen Kimberly, Tuttle Lillian J, Iwashita Motoko, Yoshizawa Masato

机构信息

Department of Biology, University of Hawai'i at Mānoa.

Department of Anatomy, Biochemistry and Physiology, University of Hawai'i at Mānoa.

出版信息

J Vis Exp. 2019 Apr 6(146). doi: 10.3791/59099.

Abstract

Cave-dwelling animals have evolved a series of morphological and behavioral traits to adapt to their perpetually dark and food-sparse environments. Among these traits, foraging behavior is one of the useful windows into functional advantages of behavioral trait evolution. Presented herein are updated methods for analyzing vibration attraction behavior (VAB: an adaptive foraging behavior) and imaging of associated mechanosensors of cave-adapted tetra, Astyanax mexicanus. In addition, methods are presented for high-throughput tracking of a series of additional cavefish behaviors including hyperactivity and sleep-loss. Cavefish also show asociality, repetitive behavior and higher anxiety. Therefore, cavefish serve as an animal model for evolved behaviors. These methods use free-software and custom-made scripts that can be applied to other types of behavior. These methods provide practical and cost-effective alternatives to commercially available tracking software.

摘要

穴居动物已经进化出一系列形态和行为特征,以适应它们常年黑暗且食物稀缺的环境。在这些特征中,觅食行为是洞察行为特征进化功能优势的有用窗口之一。本文介绍了用于分析振动吸引行为(VAB:一种适应性觅食行为)以及对洞穴适应性墨西哥丽脂鲤相关机械传感器进行成像的更新方法。此外,还介绍了对包括多动和睡眠缺失在内的一系列其他洞穴鱼行为进行高通量跟踪的方法。洞穴鱼还表现出社交淡漠、重复行为和更高的焦虑水平。因此,洞穴鱼可作为研究进化行为的动物模型。这些方法使用免费软件和定制脚本,可应用于其他类型的行为。这些方法为市售跟踪软件提供了实用且经济高效的替代方案。

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