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通过模式识别受体类似 1(Epl1)诱导子诱导的植物先天免疫的基因-基因网络分析。

Gene-to-Gene Network Analysis of the Mediation of Plant Innate Immunity by the Eliciting Plant Response-Like 1 (Epl1) Elicitor of Trichoderma formosa.

机构信息

1 Department of Biotechnology, National Formosa University, Yulin, Taiwan.

2 Institute of Biotechnology, National Taiwan University, Taipei, Taiwan.

出版信息

Mol Plant Microbe Interact. 2018 Jul;31(7):683-691. doi: 10.1094/MPMI-01-18-0002-TA. Epub 2018 May 30.

DOI:10.1094/MPMI-01-18-0002-TA
PMID:29436965
Abstract

A new clade, Trichoderma formosa, secretes eliciting plant response-like 1 (Epl1), a small peptide elicitor that stimulates plant immunity. Nicotiana benthamiana pretreated with Epl1 for 3 days developed immunity against Tomato mosaic virus (ToMV) infection. The transcriptome profiles of T. formosa and N. benthamiana were obtained by deep sequencing; the transcript of Epl1 is 736 nt in length and encodes a 12-kDa peptide. Identifying critical genes in Epl1-mediated immunity was challenging due to high similarity between the transcriptome expression profiles of Epl1-treated and ToMV-infected N. benthamiana samples. Therefore, an efficient bioinformatics data mining approach was used for high-throughput transcriptomic assays in this study. We integrated gene-to-gene network analysis into the ContigViews transcriptome database, and genes related to jasmonic acid and ethylene signaling, salicylic acid signaling, leucine-rich repeats, transcription factors, and histone variants were hubs in the gene-to-gene networks. In this study, the Epl1 of T. formosa triggers plant immunity against various pathogen infections. Moreover, we demonstrated that high-throughput data mining and gene-to-gene network analysis can be used to identify critical candidate genes for further studies on the mechanisms of plant immunity.

摘要

一个新的无性型——美丽青霉,分泌出激发植物反应类似物 1(Epl1),一种刺激植物免疫的小肽激发子。用 Epl1 预处理 3 天的本氏烟对番茄花叶病毒(ToMV)感染产生了免疫力。通过深度测序获得了美丽青霉和本氏烟的转录组图谱;Epl1 的转录本长 736 个核苷酸,编码一个 12kDa 的肽。由于 Epl1 处理和 ToMV 感染的本氏烟样本的转录组表达谱之间具有高度相似性,因此,确定 Epl1 介导的免疫中的关键基因具有挑战性。因此,本研究采用了一种高效的生物信息学数据挖掘方法进行高通量转录组分析。我们将基因-基因网络分析整合到 ContigViews 转录组数据库中,与茉莉酸和乙烯信号、水杨酸信号、富含亮氨酸重复、转录因子和组蛋白变体相关的基因是基因-基因网络中的枢纽。在这项研究中,美丽青霉的 Epl1 触发了植物对各种病原体感染的免疫。此外,我们证明了高通量数据挖掘和基因-基因网络分析可用于鉴定关键候选基因,以进一步研究植物免疫的机制。

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