Transcriptome analysis of watermelon (Citrullus lanatus) fruits in response to Cucumber green mottle mosaic virus (CGMMV) infection

• Published in: Scientific reports 2017-12, Vol.7 (1), p.16747-12, Article 16747
• Main Authors: Li, Xiaodong, An, Mengnan, Xia, Zihao, Bai, Xiaojiao, Wu, Yuanhua
• Format: Article
• Language: English
• Subjects: 45/91; 631/449/1736; 631/449/2661/2666; Biosynthesis; Carbohydrate metabolism; Cell walls; Citrullus - genetics; Citrullus - virology; Citrullus lanatus; Comparative analysis; Computational Biology - methods; Decay; Fruits; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Plant; Host-Pathogen Interactions - genetics; Humanities and Social Sciences; Metabolites; Molecular Sequence Annotation; multidisciplinary; Phenotype; Photosynthesis; Plant Diseases - genetics; Plant Diseases - virology; Plant virus diseases; Plant viruses; Reproducibility of Results; Ribonucleic acid; RNA; Science; Science (multidisciplinary); Secondary metabolites; Signal transduction; Tobamovirus; Transcriptome
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-017-17140-4

Cucumber green mottle mosaic virus (CGMMV) belongs to the Tobamovirus genus and is a major global plant virus on cucurbit plants. It causes severe disease symptoms on infected watermelon plants ( Citrullus lanatus ), particularly inducing fruit decay. However, little is known about the molecular mechanism of CGMMV-induced watermelon fruit decay. For this study, comparative analysis of transcriptome profiles of CGMMV-inoculated and mock-inoculated watermelon fruits were conducted via RNA-Seq. A total of 1,621 differently expressed genes (DEGs) were identified in CGMMV-inoculated watermelon, among which 1,052 were up-regulated and 569 were down-regulated. Functional annotation analysis showed that several DEGs were involved in carbohydrate metabolism, hormone biosynthesis and signaling transduction, secondary metabolites biosynthesis, and plant-pathogen interactions. We furthermore found that some DEGs were related to cell wall components and photosynthesis, which may directly be involve in the development of the symptoms associated with diseased watermelons. To confirm the RNA-Seq data, 15 DEGs were selected for gene expression analysis by qRT-PCR. The results showed a strong correlation between these two sets of data. Our study identified many candidate genes for further functional studies during CGMMV-watermelon interactions, and will furthermore help to clarify the understanding of pathogenic mechanism underlying CGMMV infection in cucurbit plants.