Institute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences/Laboratory for Horticultural Crop Genetic Improvement, Nanjing, Jiangsu Province 210014, China.
Institute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences/Laboratory for Horticultural Crop Genetic Improvement, Nanjing, Jiangsu Province 210014, China.
Gene. 2020 May 5;737:144451. doi: 10.1016/j.gene.2020.144451. Epub 2020 Feb 5.
Cucumber mosaic virus (CMV) can cause serious losses in Luffa cylindrica (L.) Roem. Chemical application to control CMV is ineffective and environmentally unfriendly. The development of resistant hybrids is the best way to control CMV disease. Elucidating the virus-host interaction of CMV and molecular basis underlying Luffa spp. resistance against CMV would undoubtedly facilitate breeding for resistance against CMV disease. Transcriptome sequencing was used to analyze differentially expressed genes (DEGs) caused by CMV infection. A total of 138,336 unigenes were assembled, and 74,525 unigenes were annotated. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that the three major enrichment pathways (according to the p-values) were flavonoid biosynthesis, sulfur metabolism, and photosynthesis. Genes involved in basal defenses, probably R genes, were determined to be related to CMV resistance. Using quantitative real-time PCR, we validated the differential expression of 8 genes. A number of genes associated with CMV resistance were found in this study. This study provides transcriptomic information regarding CMV-Luffa spp. interactions and will shed light on our understanding of host-virus interactions.
黄瓜花叶病毒（CMV）可导致丝瓜（Luffa cylindrica（L.）Roem.）严重减产。化学防治CMV 不仅效果不佳，而且对环境不友好。培育抗性杂交种是控制 CMV 病害的最佳方法。阐明 CMV 的病毒-宿主相互作用以及丝瓜属对 CMV 抗性的分子基础，无疑将有助于培育对 CMV 病的抗性。本研究通过转录组测序分析了 CMV 感染引起的差异表达基因（DEGs）。共组装了 138336 条 unigenes，其中 74525 条 unigenes被注释。GO 和 KEGG 分析表明，根据 p 值，三个主要富集途径是类黄酮生物合成、硫代谢和光合作用。参与基础防御的基因，可能是 R 基因，被认为与 CMV 抗性有关。通过定量实时 PCR，我们验证了 8 个基因的差异表达。本研究发现了一些与 CMV 抗性相关的基因。本研究为 CMV-丝瓜属相互作用提供了转录组信息，将有助于我们理解宿主-病毒相互作用。
