首页> 外文期刊>The Plant Cell >Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis.
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Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis.

机译:拟南芥对灰葡萄孢的防御:通过高分辨率的时间转录组学分析破译的年代和调控。

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Transcriptional reprogramming forms a major part of a plant's response to pathogen infection. Many individual components and pathways operating during plant defense have been identified, but our knowledge of how these different components interact is still rudimentary. We generated a high-resolution time series of gene expression profiles from a single Arabidopsis thaliana leaf during infection by the necrotrophic fungal pathogen Botrytis cinerea. Approximately one-third of the Arabidopsis genome is differentially expressed during the first 48 h after infection, with the majority of changes in gene expression occurring before significant lesion development. We used computational tools to obtain a detailed chronology of the defense response against B. cinerea, highlighting the times at which signaling and metabolic processes change, and identify transcription factor families operating at different times after infection. Motif enrichment and network inference predicted regulatory interactions, and testing of one such prediction identified a role for TGA3 in defense against necrotrophic pathogens. These data provide an unprecedented level of detail about transcriptional changes during a defense response and are suited to systems biology analyses to generate predictive models of the gene regulatory networks mediating the Arabidopsis response to B. cinerea.
机译:转录重编程构成植物对病原体感染的反应的主要部分。已经确定了在植物防御过程中运行的许多单独的成分和途径,但是我们对这些不同成分如何相互作用的知识仍然是基本的。我们在坏死性真菌病原体灰葡萄孢感染期间,从单个拟南芥叶中生成了高分辨率的基因表达谱时间序列。大约三分之一的拟南芥基因组在感染后的前48小时内差异表达,大多数基因表达变化发生在明显的病变发展之前。我们使用计算工具来获得针对灰葡萄孢菌的防御反应的详细时间顺序,突出显示信号和代谢过程发生变化的时间,并确定感染后在不同时间起作用的转录因子家族。母体富集和网络推断可预测调节相互作用,对一种这样的预测的测试确定了TGA3在防御坏死性病原体中的作用。这些数据提供了有关防御反应过程中转录变化的前所未有的详细水平,并且适用于系统生物学分析,以生成介导拟南芥对灰葡萄孢反应的基因调控网络的预测模型。

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