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果蝇行为回路高分辨率图谱绘制的当前技术。

Current techniques for high-resolution mapping of behavioral circuits in Drosophila.

作者信息

Sivanantharajah Lovesha, Zhang Bing

机构信息

Division of Biological Sciences, University of Missouri, Columbia, MO, 65221, USA.

出版信息

J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2015 Sep;201(9):895-909. doi: 10.1007/s00359-015-1010-y. Epub 2015 Apr 30.

Abstract

Understanding behavior requires unraveling the mysteries of neurons, glia, and their extensive connectivity. Drosophila has emerged as an excellent organism for studying the neural basis of behavior. This can be largely attributed to the extensive effort of the fly community to develop numerous sophisticated genetic tools for visualizing, mapping, and manipulating behavioral circuits. Here, we attempt to highlight some of the new reagents, techniques and approaches available for dissecting behavioral circuits in Drosophila. We focus on detailing intersectional strategies such as the Flippase-induced intersectional Gal80/Gal4 repression (FINGR), because of the tremendous potential they possess for mapping the minimal number of cells required for a particular behavior. The logic and strategies outlined in this review should have broad applications for other genetic model organisms.

摘要

理解行为需要揭开神经元、神经胶质细胞及其广泛连接性的奥秘。果蝇已成为研究行为神经基础的优秀生物体。这在很大程度上归功于果蝇研究群体为开发众多用于可视化、绘制和操纵行为回路的复杂遗传工具所付出的巨大努力。在这里,我们试图强调一些可用于剖析果蝇行为回路的新试剂、技术和方法。我们重点详细介绍诸如翻转酶诱导的交叉Gal80/Gal4抑制(FINGR)等交叉策略,因为它们在确定特定行为所需的最少细胞数量方面具有巨大潜力。本综述中概述的逻辑和策略应广泛应用于其他遗传模式生物。

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