De novo transcriptome analysis in response to yellow vein mosaic virus disease in okra (Abelmoschus esculentus L.)
摘要
Yellow vein mosaic virus is a devastating viral disease causing significant yield reduction in okra. Okra species viz. Abelmoschus moschatus accession 140,986 and Abelmoschus esculentus cultivar Punjab Padmini shows complete resistance and susceptibility respectively against YVMV disease. In this study, the de novo transcriptome assembly of Punjab Padmini (Susceptible) was generated. A total of 92 million bases assembled with total of 41,513 unigenes and 112,818 transcripts were obtained through Illumina HiSeq4000 sequencing approach. Blast2GO showed highly expressed cellular (intracellular membrane-bound organelle process), molecular (purine ribonucleotide binding process) and biological (cellular protein metabolic) processes. A total of 35,411, 43,285, 46,156, 47,025 differentially expressed genes (DEGs) were identified in between resistant and susceptible species at 0, 1, 3 and 5 days post inoculations (dpi). DEGs analysis deciphered that the downregulated genes were higher than the upregulated genes and about nine genes ch6A, ribi, gs, nb-arc, sec, chLHC, saur32, fdoxin and ald showed differential expression which were further validated using qRT-PCR. We here report that YVMV has strong link with highly expressed cLHC gene associated with photosynthesis as its symptoms include vein clearing due to loss of green photosynthetic area. We observe the high expression MYB transcription factor that has strong correlation with flavanoid pathways. We strongly suggest that the persistence of cHLC gene, flavanoid pathway and MYB transcription factors are mainly responsible for permitting resistance in A. moschatus species instead of high disease pressure. The generated hypothetical model showed that the rise of the detoxification protein led to the suppression of oxidative stress, hence permitting disease resistance. Additionally, 4706 SSR, 573,143 SNPs and 566 transcription factors were identified from the RNA-Seq data. These findings provide insights for future functional studies at the molecular level to unveil the virus resistance mechanism in okra.