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定量研究揭示了果蝇睡眠中的不同阶段。

Quantitative investigation reveals distinct phases in Drosophila sleep.

机构信息

Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.

Capital Medical University, School of Life Sciences, Peking University, PKU-IDG/McGovern Institute for Brain Research, and Chinese Institute for Brain Research, Beijing, China.

出版信息

Commun Biol. 2021 Mar 19;4(1):364. doi: 10.1038/s42003-021-01883-y.

Abstract

The fruit fly, Drosophila melanogaster, has been used as a model organism for the molecular and genetic dissection of sleeping behaviors. However, most previous studies were based on qualitative or semi-quantitative characterizations. Here we quantified sleep in flies. We set up an assay to continuously track the activity of flies using infrared camera, which monitored the movement of tens of flies simultaneously with high spatial and temporal resolution. We obtained accurate statistics regarding the rest and sleep patterns of single flies. Analysis of our data has revealed a general pattern of rest and sleep: the rest statistics obeyed a power law distribution and the sleep statistics obeyed an exponential distribution. Thus, a resting fly would start to move again with a probability that decreased with the time it has rested, whereas a sleeping fly would wake up with a probability independent of how long it had slept. Resting transits to sleeping at time scales of minutes. Our method allows quantitative investigations of resting and sleeping behaviors and our results provide insights for mechanisms of falling into and waking up from sleep.

摘要

果蝇(Drosophila melanogaster)已被用作分子和遗传解析睡眠行为的模式生物。然而,大多数先前的研究基于定性或半定量的特征描述。在这里,我们对果蝇的睡眠进行了量化。我们建立了一种使用红外摄像机连续跟踪果蝇活动的测定方法,该方法以高时空分辨率同时监测数十只果蝇的运动。我们获得了关于单只果蝇的休息和睡眠模式的准确统计数据。对我们数据的分析揭示了休息和睡眠的一般模式:休息的统计数据遵循幂律分布,而睡眠的统计数据遵循指数分布。因此,休息的果蝇再次开始移动的概率随着它休息的时间而降低,而睡觉的果蝇醒来的概率与其睡眠时间无关。休息在分钟的时间尺度上过渡到睡眠。我们的方法允许对休息和睡眠行为进行定量研究,我们的结果为入睡和醒来的机制提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ec4/7979771/0824fe7918ee/42003_2021_1883_Fig1_HTML.jpg

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