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脱落酸基因调控网络的结构与动态。

Architecture and dynamics of the abscisic acid gene regulatory network.

机构信息

Plant-Microbe Interactions, Department of Biology, Utrecht University, P.O. Box 800.56, 3508 TB, Utrecht, The Netherlands.

Theoretical Biology and Bioinformatics, Department of Biology, Utrecht University, P.O. Box 800.56, 3508 TB, Utrecht, The Netherlands.

出版信息

Plant J. 2024 Sep;119(5):2538-2563. doi: 10.1111/tpj.16899. Epub 2024 Jul 1.

Abstract

The plant hormone abscisic acid (ABA) regulates essential processes in plant development and responsiveness to abiotic and biotic stresses. ABA perception triggers a post-translational signaling cascade that elicits the ABA gene regulatory network (GRN), encompassing hundreds of transcription factors (TFs) and thousands of transcribed genes. To further our knowledge of this GRN, we performed an RNA-seq time series experiment consisting of 14 time points in the 16 h following a one-time ABA treatment of 5-week-old Arabidopsis rosettes. During this time course, ABA rapidly changed transcription levels of 7151 genes, which were partitioned into 44 coexpressed modules that carry out diverse biological functions. We integrated our time-series data with publicly available TF-binding site data, motif data, and RNA-seq data of plants inhibited in translation, and predicted (i) which TFs regulate the different coexpression clusters, (ii) which TFs contribute the most to target gene amplitude, (iii) timing of engagement of different TFs in the ABA GRN, and (iv) hierarchical position of TFs and their targets in the multi-tiered ABA GRN. The ABA GRN was found to be highly interconnected and regulated at different amplitudes and timing by a wide variety of TFs, of which the bZIP family was most prominent, and upregulation of genes encompassed more TFs than downregulation. We validated our network models in silico with additional public TF-binding site data and transcription data of selected TF mutants. Finally, using a drought assay we found that the Trihelix TF GT3a is likely an ABA-induced positive regulator of drought tolerance.

摘要

植物激素脱落酸(ABA)调节植物发育和对非生物和生物胁迫的响应的基本过程。ABA 感知触发了一个翻译后信号级联,引发了 ABA 基因调控网络(GRN),包括数百个转录因子(TFs)和数千个转录基因。为了进一步了解这个 GRN,我们进行了一个 RNA-seq 时间序列实验,该实验包括对 5 周大的拟南芥莲座叶进行一次 ABA 处理后 14 个时间点。在这个时间过程中,ABA 迅速改变了 7151 个基因的转录水平,这些基因被分为 44 个共表达模块,执行不同的生物学功能。我们将我们的时间序列数据与公共 TF 结合位点数据、基序数据和翻译抑制的植物的 RNA-seq 数据集成在一起,并预测了 (i) 哪些 TF 调节不同的共表达簇,(ii) 哪些 TF 对靶基因幅度的贡献最大,(iii) 不同 TF 在 ABA GRN 中的参与时间,以及 (iv) TF 和它们在多层次 ABA GRN 中的目标的层次位置。ABA GRN 被发现是高度相互关联的,并由各种 TF 以不同的幅度和时间进行调节,其中 bZIP 家族最为突出,上调基因涵盖的 TF 比下调基因多。我们使用额外的公共 TF 结合位点数据和选定 TF 突变体的转录数据在计算机上验证了我们的网络模型。最后,我们使用干旱测定发现,Trihelix TF GT3a 可能是 ABA 诱导的耐旱性的正调节剂。

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