单核转录组学揭示了组织环境如何塑造拟南芥叶片的昼夜转录组。

Alveena Zulfiqar, Zachary A Myers, Ananda Menon, Kathleen Greenham
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引用次数: 0

摘要

背景:昼夜节律调节使植物能够协调细胞过程与日常环境周期,但在细胞和组织类型之间的时钟动力学和层次结构仍然知之甚少。结果:我们建立了成熟拟南芥叶片的24小时单核rna测序(snRNA-seq)昼夜节律时间过程,以表征组织间的昼夜节律调节。我们在七个昼夜节律时间点捕获了约30,000个细胞核,恢复了所有主要的叶细胞类型。我们确定了超过7400个具有集群解析昼夜节律调节的基因,并使用共表达分析来定义所有细胞类型共享的五个主要时间表达分支。我们利用这些分配来鉴定具有细胞类型特异性表达时间转移的基因。通过GENIE3为每个集群生成单细胞基因调控网络(scgrn),识别出集群间许多共享和独特的转录因子(TF)靶相互作用。对CCA1靶点的仔细研究发现,光系统II修复成分在叶肉细胞的一个亚群中存在,而大量生长素相关基因仅在少数簇中存在,尽管在其他簇中表达强劲,这表明CCA1靶点调节具有细胞类型特异性。结论:我们的研究结果证明了成熟的拟南芥叶片中存在昼夜节律转录调控的程度,并突出了细胞类型特异性调控的巨大复杂性。该数据集为在细胞分辨率上解剖昼夜节律基因调控提供了高分辨率资源,并促进了我们对植物组织特异性时钟动力学的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-Nucleus Transcriptomics Reveals How Cell Type Shapes the Circadian Transcriptome of the Arabidopsis Leaf.

Circadian regulation enables plants to coordinate cellular processes with daily environmental cycles, yet the dynamics and hierarchy of the clock across cell types remains poorly understood. To characterize circadian regulation across cell types in the mature Arabidopsis thaliana leaf, we performed a 24 hour single nucleus RNA-sequencing circadian time course. We captured ∼30,000 nuclei across seven circadian time points, recovering all major leaf cell types. We identified over 7,400 genes with cluster-resolved circadian regulation, and used coexpression analysis to define five major temporal expression clades shared across all cell types. We leveraged these assignments to identify genes with cell-type-specific temporal shifts in expression. Single cell gene regulatory networks were generated for each cluster through GENIE3, identifying many shared and unique transcription factor target interactions across clusters. A close examination of core clock component targets identified complex light and hormone signaling associated networks, capturing both broad cross-cell type regulation and cell-type-specific target regulation. Our results demonstrate the extent to which circadian transcriptional regulation is present in the mature Arabidopsis leaf, and highlight the immense complexity in cell-type-specific regulation.

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