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通过行为图谱对老鼠嗅觉感知进行解构。

Deconstructing the mouse olfactory percept through an ethological atlas.

机构信息

Sidra Medicine, PO Box 26999, Doha, Qatar.

Monell Chemical Senses Center, 3500 Market Street, Philadelphia, PA 19104, USA.

出版信息

Curr Biol. 2021 Jul 12;31(13):2809-2818.e3. doi: 10.1016/j.cub.2021.04.020. Epub 2021 May 5.

Abstract

Odor perception in non-humans is poorly understood. Here, we generated the most comprehensive mouse olfactory ethological atlas to date, consisting of behavioral responses to a diverse panel of 73 odorants, including 12 at multiple concentrations. These data revealed that mouse behavior is incredibly diverse and changes in response to odorant identity and concentration. Using only behavioral responses observed in other mice, we could predict which of two odorants was presented to a held-out mouse 82% of the time. Considering all 73 possible odorants, we could uniquely identify the target odorant from behavior on the first try 20% of the time and 46% within five attempts. Although mouse behavior is difficult to predict from human perception, they share three fundamental properties: first, odor valence parameters explained the highest variance of olfactory perception. Second, physicochemical properties of odorants can be used to predict the olfactory percept. Third, odorant concentration quantitatively and qualitatively impacts olfactory perception. These results increase our understanding of mouse olfactory behavior and how it compares to human odor perception and provide a template for future comparative studies of olfactory percepts among species.

摘要

非人类的嗅觉感知理解得很差。在这里,我们生成了迄今为止最全面的老鼠嗅觉行为图谱,包括对 73 种不同气味剂的行为反应,其中 12 种气味剂有多种浓度。这些数据显示,老鼠的行为极其多样,会根据气味剂的身份和浓度而变化。只用在其他老鼠身上观察到的行为反应,我们就可以 82%的时间预测出哪两种气味剂被呈送给一只被保留的老鼠。考虑到所有 73 种可能的气味剂,我们可以在第一次尝试时以 20%的概率,在五次尝试内以 46%的概率,仅根据行为来独特地识别目标气味剂。尽管老鼠的行为很难从人类的感知中预测,但它们有三个基本属性:首先,气味效价参数解释了嗅觉感知的最高方差。其次,气味剂的物理化学性质可以用来预测嗅觉知觉。第三,气味剂的浓度定量和定性地影响嗅觉感知。这些结果增加了我们对老鼠嗅觉行为的理解,以及它与人类嗅觉感知的比较,并为未来物种间嗅觉知觉的比较研究提供了模板。

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