Transcriptome dataset to investigate the effect of deep seawater on the gene expression and functional compounds of leaves of Ligularia stenocephala

• DOI: 10.1016/j.dib.2025.111427
• Publication Date: 2025-02-22T16:10:30Z
• Authors: Dewi Komang Anggita; Bimpe Suliyat Azeez; Se-Jin Oh; Jong-Kuk Na
• Keywords: Q1-390; Science (General); Computer applications to medicine. Medical informatics; Differentially expressed genes; R858-859.7; Illumina NovaSeq 6000; RNA-seq; Vegetable

Seawater is often applied to improve crop quality by supplying minerals the crop. Due high salt concentration of seawater, one key factors for successful utilization seawater in agriculture would be optimal dilution ratios, which can determined physiological and genomic studies. However, studies crops treated with have rarely been investigated. Ligularia stenocephala, a vegetable medicinal [1], used examine changes response application deep (DSW) from 605 m depth. RNA sequencing was carried out three different leaf samples L. stenocephala 0% (NT), 5% (DSW5), or 10% (DSW10) DSW using Illumina NovaSeq 6000 system. The generated 38.1 million raw reads NT, 29.2 DSW5, 30.5 DSW10, respectively. length total 2.94 3.08 (DSW10), 3.85 Gb while filtered clean ranged between 2.88 (DSW5) 3.75 (NT). GC contents range 42.9% 43.58 Q20 score 98.63% 98.66% (DSW5). lack reference genome read mapping, transcriptome data this study were merged generate transcriptome. percentage mapped 89.63 accessible at NCBI BioProject: PRJNA1149490. These provide invaluable information not only understanding genes responsive cultivation but also determining ratio without causing stress on examining expression profiles stress-responsive genes.