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拟南芥茎尖分生组织中免疫防御转录特征的综合框架

Integrated Framework of the Immune-Defense Transcriptional Signatures in the Arabidopsis Shoot Apical Meristem.

机构信息

Department of Life and Environmental Sciences, College of Natural and Health Sciences, Zayed University, PO Box 144534-D, Abu Dhabi 4783, UAE.

Department of Bioinformatics, Biocenter, University of Würzburg, Am Hubland, D-97074 Würzburg, Germany.

出版信息

Int J Mol Sci. 2020 Aug 11;21(16):5745. doi: 10.3390/ijms21165745.

Abstract

The growing tips of plants grow sterile; therefore, disease-free plants can be generated from them. How plants safeguard growing apices from pathogen infection is still a mystery. The shoot apical meristem (SAM) is one of the three stem cells niches that give rise to the above ground plant organs. This is very well explored; however, how signaling networks orchestrate immune responses against pathogen infections in the SAM remains unclear. To reconstruct a transcriptional framework of the differentially expressed genes (DEGs) pertaining to various SAM cellular populations, we acquired large-scale transcriptome datasets from the public repository Gene Expression Omnibus (GEO). We identify here distinct sets of genes for various SAM cellular populations that are enriched in immune functions, such as immune defense, pathogen infection, biotic stress, and response to salicylic acid and jasmonic acid and their biosynthetic pathways in the SAM. We further linked those immune genes to their respective proteins and identify interactions among them by mapping a transcriptome-guided SAM-interactome. Furthermore, we compared stem-cells regulated transcriptome with innate immune responses in plants showing transcriptional separation among their DEGs in . Besides unleashing a repertoire of immune-related genes in the SAM, our analysis provides a SAM-interactome that will help the community in designing functional experiments to study the specific defense dynamics of the SAM-cellular populations. Moreover, our study promotes the essence of large-scale omics data re-analysis, allowing a fresh look at the SAM-cellular transcriptome repurposing data-sets for new questions.

摘要

植物的生长尖端是无菌的;因此,可以从中产生无病的植物。植物如何保护生长尖端免受病原体感染仍然是一个谜。茎尖分生组织(SAM)是产生地上植物器官的三个茎干细胞龛之一。这方面已经得到了很好的探索;然而,信号网络如何协调 SAM 中针对病原体感染的免疫反应仍然不清楚。为了重建与各种 SAM 细胞群体相关的差异表达基因(DEG)的转录框架,我们从公共数据库基因表达综合(GEO)中获取了大规模的转录组数据集。我们在这里确定了各种 SAM 细胞群体的不同基因集,这些基因集富集了免疫功能,例如免疫防御、病原体感染、生物胁迫以及对水杨酸和茉莉酸及其在 SAM 中的生物合成途径的反应。我们进一步将这些免疫基因与其各自的蛋白质联系起来,并通过绘制转录组指导的 SAM 相互作用组来识别它们之间的相互作用。此外,我们将干细胞调节的转录组与植物中的先天免疫反应进行了比较,结果表明它们的 DEG 在 中存在转录分离。除了在 SAM 中释放出一系列与免疫相关的基因外,我们的分析还提供了一个 SAM 相互作用组,这将有助于社区设计功能实验来研究 SAM 细胞群体的特定防御动态。此外,我们的研究促进了大规模组学数据重新分析的本质,允许对 SAM 细胞转录组重新利用数据集进行新问题的重新审视。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c52e/7460820/3724fea9bd12/ijms-21-05745-g001.jpg

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