Evidence that natural selection maintains genetic variation for sleep in Drosophila melanogaster.

Evidence that natural selection maintains genetic variation for sleep in Drosophila melanogaster.
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DOI:
10.1186/s12862-015-0316-2
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发表时间:
2015-03-13
影响因子:
3.4
通讯作者:
Begun DJ
Begun DJ
中科院分区:
生物学2区
文献类型:
--
作者:
Svetec N;Zhao L;Saelao P;Chiu JC;Begun DJ

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黑腹果蝇在不同的大陆上经常表现出纬度与表型或遗传变异之间的相关性,这表明了对异质环境的局部适应。以前的表型分析的纬度倾斜主要调查生理,形态,或生活史性状。在这里,我们研究了D.来自北美洲和中美洲的黑腹果蝇种群。同时,我们使用RNA-seq来鉴定群体间基因表达差异。我们发现,在D。黑腹鼠平均夜间睡眠持续时间呈现出纬度梯度,赤道种群的睡眠持续时间大约是温带种群的两倍。有趣的是,这种纬度变化的模式在任何白天的活动或睡眠测量中都没有观察到。我们还发现了日出预测的地理差异的证据。我们对来自低纬度和高纬度人群的头部进行的RNA-seq实验发现了大量的基因表达差异,其中大部分是时间依赖性的。差异表达基因富集在昼夜节律调节基因和富集在基因潜在的空间变化的选择。我们的研究结果与夜间和白天活动的机械性和选择性脱钩是一致的。此外,本研究表明,自然选择在产生与昼夜行为相关的转录组变异中起着重要作用。最后,我们确定了与观察到的行为和转录组学变异可能有因果关系的基因组变异。本文的在线版本(doi:10.1186/s12862-015-0316-2)包含补充材料,可供授权用户使用。
Drosophila melanogaster often shows correlations between latitude and phenotypic or genetic variation on different continents, which suggests local adaptation with respect to a heterogeneous environment. Previous phenotypic analyses of latitudinal clines have investigated mainly physiological, morphological, or life-history traits. Here, we studied latitudinal variation in sleep in D. melanogaster populations from North and Central America. In parallel, we used RNA-seq to identify interpopulation gene expression differences. We found that in D. melanogaster the average nighttime sleep bout duration exhibits a latitudinal cline such that sleep bouts of equatorial populations are roughly twice as long as those of temperate populations. Interestingly, this pattern of latitudinal variation is not observed for any daytime measure of activity or sleep. We also found evidence for geographic variation for sunrise anticipation. Our RNA-seq experiment carried out on heads from a low and high latitude population identified a large number of gene expression differences, most of which were time dependent. Differentially expressed genes were enriched in circadian regulated genes and enriched in genes potentially under spatially varying selection. Our results are consistent with a mechanistic and selective decoupling of nighttime and daytime activity. Furthermore, the present study suggests that natural selection plays a major role in generating transcriptomic variation associated with circadian behaviors. Finally, we identified genomic variants plausibly causally associated with the observed behavioral and transcriptomic variation. The online version of this article (doi:10.1186/s12862-015-0316-2) contains supplementary material, which is available to authorized users.
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