Transcriptome analysis of Crimson seedless grapevine (Vitis vinifera L.) infected by grapevine berry inner necrosis virus

Xianyou Wang , Yunli Liu , Longlong Guo , Jun Shen , Huiling Hu , Ruijin Zhou
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引用次数: 2

Abstract

Grapevine fruits produced in China are often infected by grapevine berry inner necrosis virus (GINV). GINV disease is the most economically important viral disease of the grapevine, characterized by discoloration on the fruit surface and necrosis of the flesh. In this study, the transcriptome sequencing technology revealed 1700 differently expressed genes (DEGs), with 846 up-regulated and 854 down-regulated genes in Crimson seedless grapevine during the GINV infection. Both Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to classify the DEGs. The top 10 GO terms were enriched in GINV versus mock, and these enriched GO terms were mainly classified into three categories, namely, 324 cellular components, 2062 biological processes, and 940 molecular functions. Based on the P-values, the KEGG pathway analysis indicated that 96 major pathways were identified in GINV versus mock, and 20 major enrichment pathways were significantly enriched. Using quantitative real-time polymerase chain reaction (qRT-PCR), we validated the differential expression of 12 genes. The expression patterns of 11 genes were consistent with the RNA-sequencing (RNA-seq) results, except for one gene. Thus, our study provides comprehensive transcriptome information on the GINV–grapevine interaction, thereby improving our understanding of virus–host interactions.

Abstract Image

葡萄浆果内坏死病毒侵染深红色无核葡萄的转录组分析
中国生产的葡萄柚经常感染葡萄莓内坏死病毒(GINV)。GINV病是葡萄最重要的经济病毒病,其特征是果实表面变色和果肉坏死。在本研究中,转录组测序技术揭示了深红无籽葡萄在GINV感染过程中的1700个不同表达基因(DEGs),其中846个基因上调,854个基因下调。通过基因本体(GO)和京都基因与基因组百科全书(KEGG)分析对deg进行分类。在GINV和mock中富集了前10个GO术语,这些富集的GO术语主要分为三类,即324种细胞成分,2062种生物过程和940种分子功能。基于p值,KEGG通路分析表明,GINV与mock共鉴定出96条主要富集通路,其中20条主要富集通路显著富集。利用实时定量聚合酶链反应(qRT-PCR)验证了12个基因的差异表达。除1个基因外,其余11个基因的表达模式均与rna测序(RNA-seq)结果一致。因此,我们的研究提供了gv -葡萄相互作用的全面转录组信息,从而提高了我们对病毒-宿主相互作用的理解。
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