Arabidopsis Defense against Botrytis cinerea: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis
Arabidopsis Defense against Botrytis cinerea: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis
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DOI：
10.1105/tpc.112.102046
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发表时间：
2012-09-01
期刊：
影响因子：
11.6
通讯作者：
Denby, Katherine J.
中科院分区：
文献类型：
--
作者：
Windram, Oliver;Madhou, Priyadharshini;Denby, Katherine J.
转录重编程是植物对病原体感染反应的主要部分。植物防御过程中发挥作用的许多单独成分和途径已被识别，但我们对这些不同成分如何相互作用的了解仍然很初级。我们从单个拟南芥叶在坏死营养型真菌病原体灰葡萄孢感染期间生成了高分辨率时间序列的基因表达谱。大约三分之一的拟南芥基因组在感染后的前 48 小时内出现差异表达，大部分基因表达变化发生在显着病变发展之前。我们使用计算工具获得了针对灰霉病菌的防御反应的详细年表，突出了信号传导和代谢过程变化的时间，并确定了感染后不同时间起作用的转录因子家族。基序富集和网络推理预测了调控相互作用，并且对此类预测的测试确定了 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期间转录变化的前所未有的详细信息，并且适合系统生物学分析，以生成介导拟南芥对灰霉病反应的基因调控网络的预测模型。
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.