发布: 2018年09月05日第8卷第17期 DOI: 10.21769/BioProtoc.2987 浏览次数: 8357
评审: Zhibing LaiChao-Jan LiaoReza Sohrabi
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Abstract
Profiling bacterial transcriptome in planta is challenging due to the low abundance of bacterial RNA in infected plant tissues. Here, we describe a protocol to profile transcriptome of a foliar bacterial pathogen, Pseudomonas syringae pv. tomato DC3000, in the leaves of Arabidopsis thaliana at an early stage of infection using RNA sequencing (RNA-Seq). Bacterial cells are first physically isolated from infected leaves, followed by RNA extraction, plant rRNA depletion, cDNA library synthesis, and RNA-Seq. This protocol is likely applicable not only to the A. thaliana–P. syringae pathosystem but also to different plant-bacterial combinations.
Keywords: RNA-Seq (转录组测序技术)Background
Plants have evolved innate immune systems to fend off pathogen attack. Molecular mechanisms of pathogen recognition and immune signaling pathways have been intensively studied over the past decades. However, how plant immunity affects pathogen metabolism to inhibit pathogen growth is scarcely understood often because of the difficulty in profiling pathogen responses in planta. In case of bacterial pathogens, transcriptome profiling inside plant leaves is difficult to study because the amount of bacterial mRNA is much lower than that of plants; and it is particularly challenging at an early stage of infection due to the low population density of bacteria in plants. To overcome this limitation, we established a method for isolating bacteria from the infected plant leaves and profiling bacterial transcriptome with RNA-Seq. This method has been successfully used for profiling the transcriptome of the model bacterial pathogen Pseudomonas syringae pv. tomato DC3000 in the model plant Arabidopsis thaliana in various conditions (Nobori et al., 2018).
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版权信息
© 2018 The Authors; exclusive licensee Bio-protocol LLC.
如何引用
Nobori, T. and Tsuda, K. (2018). In planta Transcriptome Analysis of Pseudomonas syringae. Bio-protocol 8(17): e2987. DOI: 10.21769/BioProtoc.2987.
分类
植物科学 > 植物分子生物学 > RNA
微生物学 > 微生物-宿主相互作用 > 细菌
分子生物学 > RNA > RNA 测序
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