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首页> 外文期刊>Plant, Cell & Environment >Complex interactions between day length and diurnal patterns of gene expression drive photoperiodic responses in a perennial C-4 grass
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Complex interactions between day length and diurnal patterns of gene expression drive photoperiodic responses in a perennial C-4 grass

机译：在多年生C-4草中的基因表达驱动光电离质的昼夜长度与昼夜模式的复杂相互作用

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摘要

Photoperiod is a key environmental cue affecting flowering and biomass traits in plants. Key components of the photoperiodic flowering pathway have been identified in many species, but surprisingly few studies have globally examined the diurnal rhythm of gene expression with changes in day length. Using a cost-effective 3 '-Tag RNA sequencing strategy, we characterize 9,010 photoperiod responsive genes with strict statistical testing across a diurnal time series in the C-4 perennial grass, Panicum hallii. We show that the vast majority of photoperiod responses are driven by complex interactions between day length and sampling periods. A fine-scale contrast analysis at each sampling time revealed a detailed picture of the temporal reprogramming of cis-regulatory elements and biological processes under short- and long-day conditions. Phase shift analysis reveals quantitative variation among genes with photoperiod-dependent diurnal patterns. In addition, we identify three photoperiod enriched transcription factor families with key genes involved in photoperiod flowering regulatory networks. Finally, coexpression networks analysis of GIGANTEA homolog predicted 1,668 potential coincidence partners, including five well-known GI-interacting proteins. Our results not only provide a resource for understanding the mechanisms of photoperiod regulation in perennial grasses but also lay a foundation to increase biomass yield in biofuel crops.
机译：PhotoPeriod是影响植物中开花和生物质性状的关键环境提示。在许多物种中鉴定了光周期开花途径的关键组分，但令人惊讶的是，全球甚至几乎没有研究基因表达的昼夜节律与白天长度的变化。使用具有成本效益的3'-TAG RNA测序策略，我们将9,010个光周期敏感基因表征在C-4多年生草，Panicum Hallii中的昼夜时间序列中具有严格的统计测试。我们表明，绝大多数光周期应对由白天长度和采样周期之间的复杂相互作用驱动。每个采样时间的微尺度对比度分析揭示了在短期和漫长的条件下CIS-SCOUNTION元素和生物过程的时间重新编程的详细图片。相移分析揭示了具有光周期依赖性昼夜图案的基因之间的定量变化。此外，我们鉴定了三种光周期富集的转录因子家族，其中具有涉及光周期开花调节网络的关键基因。最后，Gigantea同源物的共表达网络分析预测了1,668个潜在的巧合伙伴，其中包括五种众所周知的Gi相互作用的蛋白质。我们的结果不仅提供了理解多年生草地上的光周期调节机制，而且还为增加生物燃料作物中的生物量产量增加了基础。

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