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Wiley Interdiscip Rev Dev Biol. 2018 Jan;7(1). doi: 10.1002/wdev.289. Epub 2017 Aug 22.
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Sleep and Physiological Dysregulation: A Closer Look at Sleep Intraindividual Variability.睡眠与生理调节异常:深入探讨睡眠个体内变异性
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基因型影响黑腹果蝇睡眠的每日变异性。

Genotype Influences Day-to-Day Variability in Sleep in Drosophila melanogaster.

作者信息

Wu Katherine J, Kumar Shailesh, Serrano Negron Yazmin L, Harbison Susan T

机构信息

Laboratory of Systems Genetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD.

出版信息

Sleep. 2018 Feb 1;41(2). doi: 10.1093/sleep/zsx205.

DOI:10.1093/sleep/zsx205
PMID:29228366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6018780/
Abstract

Patterns of sleep often vary among individuals. But sleep and activity may also vary within an individual, fluctuating in pattern across time. One possibility is that these daily fluctuations in sleep are caused by the underlying genotype of the individual. However, differences attributable to genetic causes are difficult to distinguish from environmental factors in outbred populations such as humans. We therefore employed Drosophila as a model of intra-individual variability in sleep using previously collected sleep and activity data from the Drosophila Genetic Reference Panel, a collection of wild-derived inbred lines. Individual flies had significant daily fluctuations in their sleep patterns, and these fluctuations were heritable. Using the standard deviation of sleep parameters as a metric, we conducted a genome-wide association study. We found 663 polymorphisms in 104 genes associated with daily fluctuations in sleep. We confirmed the effects of 12 candidate genes on the standard deviation of sleep parameters. Our results suggest that daily fluctuations in sleep patterns are due in part to gene activity.

摘要

睡眠模式在个体之间往往存在差异。但睡眠和活动在个体内部也可能有所不同,其模式会随时间波动。一种可能性是,这些睡眠的日常波动是由个体的潜在基因型引起的。然而,在像人类这样的远交群体中,由遗传原因导致的差异很难与环境因素区分开来。因此,我们利用果蝇作为个体内部睡眠变异性的模型,使用了从果蝇遗传参考面板(一组野生来源的近交系)先前收集的睡眠和活动数据。个体果蝇的睡眠模式存在显著的日常波动,并且这些波动是可遗传的。我们以睡眠参数的标准差作为衡量指标,进行了全基因组关联研究。我们在104个基因中发现了663个与睡眠日常波动相关的多态性。我们证实了12个候选基因对睡眠参数标准差的影响。我们的结果表明,睡眠模式的日常波动部分归因于基因活动。