In this study, the transcriptome of Vitis flexuosa leaves inoculated with Elsinoe ampelina was analysed to identify useful genes and elucidate their function and differential expression patterns through assembly and annotation gene ontology of data from sequencing short reads on the Illumina platform. We assembled ~121 million high-quality trimmed reads using Velvet and Oases with optimal parameters into a non-redundant set of 70,899 transcripts ( ≥ 200 bp in length). The transcripts exhibited an average length of 1138 bp and a N50 length of 1695 bp, with the largest contig length being 9623 bp. Functional categorization revealed the conservation of genes involved in various molecular functions, including protein binding (21.1%) and oxidoreductase activity (11.7%), in V. flexuosa. The V. flexuosa transcript set generated in this study will serve as a resource for gene discovery and development of functional molecular markers.