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烟草感染黄瓜花叶病毒过程中系统症状发展的转录组分析。

Transcriptome analysis of Nicotiana tabacum infected by Cucumber mosaic virus during systemic symptom development.

机构信息

Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, China.

出版信息

PLoS One. 2012;7(8):e43447. doi: 10.1371/journal.pone.0043447. Epub 2012 Aug 28.

Abstract

Virus infection of plants may induce a variety of disease symptoms. However, little is known about the molecular mechanism of systemic symptom development in infected plants. Here we performed the first next-generation sequencing study to identify gene expression changes associated with disease development in tobacco plants (Nicotiana tabacum cv. Xanthi nc) induced by infection with the M strain of Cucumber mosaic virus (M-CMV). Analysis of the tobacco transcriptome by RNA-Seq identified 95,916 unigenes, 34,408 of which were new transcripts by database searches. Deep sequencing was subsequently used to compare the digital gene expression (DGE) profiles of the healthy plants with the infected plants at six sequential disease development stages, including vein clearing, mosaic, severe chlorosis, partial and complete recovery, and secondary mosaic. Thousands of differentially expressed genes were identified, and KEGG pathway analysis of these genes suggested that many biological processes, such as photosynthesis, pigment metabolism and plant-pathogen interaction, were involved in systemic symptom development. Our systematic analysis provides comprehensive transcriptomic information regarding systemic symptom development in virus-infected plants. This information will help further our understanding of the detailed mechanisms of plant responses to viral infection.

摘要

植物病毒感染可能会引起多种病症。然而,对于受感染植物中系统性症状发展的分子机制知之甚少。在这里,我们进行了首次下一代测序研究,以鉴定与感染烟草(Nicotiana tabacum cv. Xanthi nc)后由黄瓜花叶病毒(M-CMV)M 株引起的疾病发展相关的基因表达变化。通过 RNA-Seq 对烟草转录组进行分析,共鉴定出 95916 个基因,其中 34408 个通过数据库搜索是新转录本。随后,我们使用深度测序来比较健康植株和感染植株在六个连续的疾病发展阶段(叶脉清晰、花叶、严重黄化、部分和完全恢复以及二次花叶)的数字基因表达(DGE)图谱。鉴定出数千个差异表达基因,这些基因的 KEGG 通路分析表明,许多生物过程,如光合作用、色素代谢和植物-病原体相互作用,参与了系统性症状的发展。我们的系统分析为病毒感染植物的系统性症状发展提供了全面的转录组信息。这些信息将有助于我们进一步了解植物对病毒感染的详细反应机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/174b/3429483/afcc7519b52d/pone.0043447.g001.jpg

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