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来源: Jie Yu et al  发布日期: 2023-02-07  访问量: 37

标签: 果蝇进食、主动、运动回路

A dedicate sensorimotor circuit enables fine texture discrimination by active touch

Jie Yu1,2, Xuan Guo1,2, Shen Zheng1,2, Wei ZhangID1,2*
1 School of Life Sciences, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China,
2 Tsinghua-Peking Center for Life Sciences, Beijing, China

Active touch facilitates environments exploration by voluntary, self-generated movements. However, the neural mechanisms underlying sensorimotor control for active touch are poorly understood. During foraging and feeding, Drosophila gather information on the properties of food (texture, hardness, taste) by constant probing with their proboscis. Here we identify a group of neurons (sd-L neurons) on the fly labellum that are mechanosensitive to labellum displacement and synapse onto the sugar-sensing neurons via axo-axonal synapses to induce preference to harder food. These neurons also feed onto the motor circuits that control proboscis extension and labellum spreading to provide on-line sensory feedback critical for controlling the probing processes, thus facilitating ingestion of less liquified food. Intriguingly, this preference was eliminated in mated female flies, reflecting an elevated need for softer food. Our results propose a sensorimotor circuit composed of mechanosensory, gustatory and motor neurons that enables the flies to select ripe yet not over-rotten food by active touch.



FlyPAD assay

FlyPAD (Fly Proboscis and Activity Detector) assay was carried out as previously described [59] with slight modifications. Flies were collected upon eclosion and aged for 3~6 days on standard cornmeal medium. For food deprivation, female flies were kept in an empty vial with filter paper soaked with water for 24 hours. Each fly was transferred to one feeding chamber on the FlyPAD board and recorded for 20 min. Sips were detected with Python codes (Cap2-Sip) translated from the MATLAB codes [59,60]. Cumulative sips duration and accumulation were calculated as the summation of all sips detected along the 20 min time window. The codes we used are available at GITHUB: