了解食蚜蝇tsdn的促进机制。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Anindya Ghosh, Sarah Nicholas, Karin Nordstrom, Thomas Nowotny, James Knight
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引用次数: 0

摘要

许多动物利用视觉动作线索来追踪和追逐小的、快速移动的目标,比如猎物或同种动物。在包括蜻蜓和食蚜蝇在内的目标追求昆虫中,小目标运动检测器(STMD)神经元位于视叶中,被认为是目标选择性下降神经元(tsdn)的突触前突触,后者投射到运动指挥中心。尽管stmd对目标运动有强大的响应——即使是在移动的背景下显示——但TSDN的目标响应受到背景运动的调制。根据背景运动与目标运动是同步的还是反向的,tsdn的响应要么被抑制,要么被促进(放大)。这表明tsdn不仅接受来自stmd的输入,还接受来自对背景运动敏感的神经元的输入,但这种神经回路尚不清楚。为了探索潜在的神经机制,我们开发了三种候选TSDN电路模型,它们以不同的方式结合了生物可信的stmd和光流敏感的小叶板切向细胞(LPTCs)的输入,并将它们与已发表的食蝇TSDN电生理学数据进行了匹配。然后,我们使用不同的背景模式对新的电生理数据测试了最佳拟合模型。我们发现,整体最佳模型表明,与STMDs进入TSDN的优先方向相同的LPTCs具有简单的抑制作用。这种简约的机制可以解释TSDN对小靶点的促进和抑制反应,并可能为其他动物的类似研究提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the mechanism of facilitation in hoverfly TSDNs.

Many animals use visual motion cues to track and pursue small, fast-moving targets, such as prey or conspecifics. In target-pursuing insects, including dragonflies and hoverflies, Small Target Motion Detector (STMD) neurons are found in the optic lobes and are believed to be presynaptic to Target Selective Descending Neurons (TSDNs) that project to motor command centres. While STMDs respond robustly to target motion - even when displayed against moving backgrounds - TSDN target responses are modulated by background motion. Depending on whether the background motion is syn- or contra-directional to the target motion, the response of the TSDNs is either suppressed or facilitated (amplified). This suggests that TSDNs not only receive input from STMDs but also from neurons sensitive to background motion, but this neural circuit is not clearly understood. To explore the underlying neural mechanisms, we developed three candidate TSDN circuit models - which combine input from bio-plausible STMDs and optic flow-sensitive Lobula Plate Tangential Cells (LPTCs) in different ways - and fitted them to published electrophysiology data from hoverfly TSDNs. We then tested the best-fitting models against new electrophysiological data using different background patterns. We found that the overall best model suggests simple inhibition from LPTCs with the same preferred direction as the STMDs feeding into the TSDN. This parsimonious mechanism can explain the facilitation and suppression of TSDN responses to small targets, and may inform similar studies in other animals.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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