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果蝇中高级视觉神经元的光谱响应特性。

Spectral response properties of higher visual neurons in Drosophila melanogaster.

机构信息

Laboratory of Molecular Neuroscience and Neurology, School of Life Sciences, Tokyo University of Pharmacy and Life Sciences, 1432-1 Horinouchi, Hachioji, Tokyo, 192-0392, Japan.

出版信息

J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2020 Mar;206(2):217-232. doi: 10.1007/s00359-019-01391-9. Epub 2019 Dec 13.

DOI:10.1007/s00359-019-01391-9
PMID:31834470
Abstract

The fruit fly Drosophila melanogaster can process chromatic information for true color vision and spectral preference. Spectral information is initially detected by a few distinct photoreceptor channels with different spectral sensitivities and is processed through the visual circuit. The neuroanatomical bases of the circuit are emerging. However, only little information is available in chromatic response properties of higher visual neurons from this important model organism. We used in vivo whole-cell patch-clamp recordings in response to monochromatic light stimuli ranging from 300 to 650 nm with 25-nm steps. We characterized the chromatic response of 33 higher visual neurons, including their general response type and their wavelength tuning. Color-opponent-type responses that had been typically observed in primates and bees were not identified. Instead, the majority of neurons showed excitatory responses to broadband wavelengths. The UV (300-375 nm) and middle wavelength (425-575 nm) ranges could be separated at the population level owing to neurons that preferentially responded to a specific wavelength range. Our results provide a first mapping of chromatic information processing in higher visual neurons of D. melanogaster that is a suitable model for exploring how color-opponent neural mechanisms are implemented in the visual circuits.

摘要

果蝇果蝇可以处理用于真彩色视觉和光谱偏好的色觉信息。光谱信息最初由几个具有不同光谱灵敏度的不同光感受器通道检测,并通过视觉回路进行处理。该回路的神经解剖学基础正在显现。然而,在这种重要的模式生物的更高视觉神经元的色觉反应特性中,仅提供了很少的信息。我们使用体内全细胞膜片钳记录技术,对 300 至 650nm 范围内的单色光刺激进行响应,步长为 25nm。我们对 33 个更高视觉神经元的色觉反应进行了表征,包括它们的一般反应类型和波长调谐。在灵长类动物和蜜蜂中通常观察到的颜色拮抗型反应并没有被识别出来。相反,大多数神经元对宽带波长表现出兴奋性反应。由于神经元优先响应特定的波长范围,因此可以在群体水平上区分 UV(300-375nm)和中波长(425-575nm)范围。我们的研究结果提供了果蝇更高视觉神经元中色觉信息处理的首次映射,果蝇是探索颜色拮抗神经机制如何在视觉回路中实现的合适模型。

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本文引用的文献

1
Toward a Mechanistic Understanding of Color Vision in Insects.昆虫色觉的机制理解研究进展
Front Neural Circuits. 2018 Feb 23;12:16. doi: 10.3389/fncir.2018.00016. eCollection 2018.
2
Color Processing in the Early Visual System of Drosophila.果蝇早期视觉系统中的颜色处理。
Cell. 2018 Jan 11;172(1-2):318-330.e18. doi: 10.1016/j.cell.2017.12.018.
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Colour in the eye of the beholder: receptor sensitivities and neural circuits underlying colour opponency and colour perception.旁观者眼中的色彩:颜色对立与颜色感知背后的受体敏感性和神经回路。
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2020 Mar;206(2):105-107. doi: 10.1007/s00359-020-01407-9. Epub 2020 Feb 8.
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Automatic Segmentation of Drosophila Neural Compartments Using GAL4 Expression Data Reveals Novel Visual Pathways.利用GAL4表达数据对果蝇神经节段进行自动分割揭示了新的视觉通路。
Curr Biol. 2016 Aug 8;26(15):1943-1954. doi: 10.1016/j.cub.2016.05.052. Epub 2016 Jul 14.
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Direct neural pathways convey distinct visual information to Drosophila mushroom bodies.直接神经通路将不同的视觉信息传递给果蝇蘑菇体。
Elife. 2016 Apr 15;5:e14009. doi: 10.7554/eLife.14009.
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Mapping chromatic pathways in the Drosophila visual system.绘制果蝇视觉系统中的色觉通路
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7
The evolutionary diversity of insect retinal mosaics: common design principles and emerging molecular logic.昆虫视网膜镶嵌的进化多样性:共同的设计原则与新出现的分子逻辑
Trends Genet. 2015 Jun;31(6):316-28. doi: 10.1016/j.tig.2015.04.006. Epub 2015 May 26.
8
Noise-robust recognition of wide-field motion direction and the underlying neural mechanisms in Drosophila melanogaster.果蝇中对广域运动方向的抗噪声识别及其潜在神经机制
Sci Rep. 2015 May 14;5:10253. doi: 10.1038/srep10253.
9
Visual circuits in flies: beginning to see the whole picture.果蝇的视觉回路:开始看清全貌。
Curr Opin Neurobiol. 2015 Oct;34:125-32. doi: 10.1016/j.conb.2015.03.010. Epub 2015 Apr 14.
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Identifying functional connections of the inner photoreceptors in Drosophila using Tango-Trace.使用Tango-Trace鉴定果蝇体内光感受器的功能连接。
Neuron. 2014 Aug 6;83(3):630-44. doi: 10.1016/j.neuron.2014.06.025. Epub 2014 Jul 18.