De Novo Transcriptome Sequencing and Gene Expression Profiling of Vicia hirsuta (L.) Gray in Response to Flooding Stress
摘要
This study analyzed the flooding resistance and gene expression patterns of Vicia hirsuta (L.) Gray (hereafter referred to as V. hirsuta) to preserve the genetic diversity of legume crops and support the development of new cultivars with enhanced resistance to flooding stress. Genomic data quality and quantity were assessed from de novo assembly before and after flooding stress. Control samples averaged 61.7 million reads and 9047 Mb, while flooding-treated samples averaged 62.9 million reads and 9223 Mb. A total of 3899 upregulated and 3462 downregulated differentially expressed genes (DEGs) were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed functions related to cell composition, metabolism, plant hormones, and defense mechanisms, including antioxidant activity, glycolysis, and starch metabolism. Transcription factor profiling identified 13 upregulated, 5 downregulated, and 22 overlapping TFs. This study provides essential data for understanding the genetic response of legumes to flooding by identifying flood-resistant genes and gene expression patterns in V. hirsuta. This study advances research on crop wild relatives and supports the development of new flooding stress–resistant legume cultivars.