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油菜-茎点霉互作转录组分析鉴定了植物抗性相关的受体、信号和结构基因。

Transcriptome analysis of the Brassica napus-Leptosphaeria maculans pathosystem identifies receptor, signaling and structural genes underlying plant resistance.

机构信息

Department of Biological Sciences, University of Manitoba, Winnipeg, MB, R3T2N2, Canada.

Department of Plant Science, University of Manitoba, Winnipeg, MB, R3T2N2, Canada.

出版信息

Plant J. 2017 May;90(3):573-586. doi: 10.1111/tpj.13514. Epub 2017 Mar 27.

Abstract

The hemibiotrophic fungal pathogen Leptosphaeria maculans is the causal agent of blackleg disease in Brassica napus (canola, oilseed rape) and causes significant loss of yield worldwide. While genetic resistance has been used to mitigate the disease by means of traditional breeding strategies, there is little knowledge about the genes that contribute to blackleg resistance. RNA sequencing and a streamlined bioinformatics pipeline identified unique genes and plant defense pathways specific to plant resistance in the B. napus-L. maculans LepR1-AvrLepR1 interaction over time. We complemented our temporal analyses by monitoring gene activity directly at the infection site using laser microdissection coupled to quantitative PCR. Finally, we characterized genes involved in plant resistance to blackleg in the Arabidopsis-L. maculans model pathosystem. Data reveal an accelerated activation of the plant transcriptome in resistant host cotyledons associated with transcripts coding for extracellular receptors and phytohormone signaling molecules. Functional characterization provides direct support for transcriptome data and positively identifies resistance regulators in the Brassicaceae. Spatial gradients of gene activity were identified in response to L. maculans proximal to the site of infection. This dataset provides unprecedented spatial and temporal resolution of the genes required for blackleg resistance and serves as a valuable resource for those interested in host-pathogen interactions.

摘要

半活体真菌病原体菜黑粉菌是油菜(油菜籽、油菜)黑胫病的病原体,在世界范围内造成了重大的产量损失。虽然遗传抗性已被用于通过传统的育种策略来减轻该疾病,但对于有助于黑胫病抗性的基因知之甚少。RNA 测序和简化的生物信息学管道随时间识别了油菜-菜黑粉菌 LepR1-AvrLepR1 相互作用中独特的基因和植物防御途径,这些基因和植物防御途径特定于植物抗性。我们通过使用激光微切割与定量 PCR 直接在感染部位监测基因活性来补充我们的时间分析。最后,我们在拟南芥-菜黑粉菌模式病理系统中表征了参与油菜黑胫病抗性的基因。数据显示,与编码细胞外受体和植物激素信号分子的转录物相关的抗性宿主子叶中植物转录组的激活速度加快。功能表征为转录组数据提供了直接支持,并在十字花科植物中鉴定了抗性调节剂。在感染部位附近,鉴定出了对菜黑粉菌的基因活性的空间梯度。该数据集提供了黑胫病抗性所需基因的前所未有的时空分辨率,是那些对宿主-病原体相互作用感兴趣的人的宝贵资源。

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