Transcriptome dynamics of Gossypium purpurascens in response to abiotic stresses by Iso-seq and RNA-seq data

• Published in: Scientific data Vol. 11; no. 1; p. 477
• Main Authors: Rehman, Abdul, Tian, Chunyan, He, Shoupu, Li, Hongge, Lu, Shuai, Du, Xiongming, Peng, Zhen
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 09.05.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/208/8; 631/337/2019; Abiotic stress; Data Descriptor; Drought; Droughts; Gene expression; Gene Expression Regulation, Plant; Genomes; Gossypium; Gossypium - genetics; Humanities and Social Sciences; multidisciplinary; Plant breeding; Plant Leaves - genetics; Principal components analysis; Ribonucleic acid; RNA; RNA, Plant - genetics; RNA-Seq; Salinity; Science; Science (multidisciplinary); Stress, Physiological - genetics; Transcriptome; Transcriptomes; Transcriptomics
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-024-03334-9

Gossypium purpurascens is a member of the Malvaceae family, holds immense economic significance as a fiber crop worldwide. Abiotic stresses harm cotton crops, reduce yields, and cause economic losses. Generating high-quality reference genomes and large-scale transcriptomic datasets across diverse conditions can offer valuable insights into identifying preferred agronomic traits for crop breeding. The present research used leaf tissues to conduct PacBio Iso-seq and RNA-seq analysis. We carried out an in-depth analysis of DEGs using both correlations with cluster analysis and principal component analysis. Additionally, the study also involved the identification of both lncRNAs and CDS. We have prepared RNA-seq libraries from 75 RNA samples to study the effects of drought, salinity, alkali, and saline-alkali stress, as well as control conditions. A total of 454.06 Gigabytes of transcriptome data were effectively validated through the identification of differentially expressed genes and KEGG and GO analysis. Overwhelmingly, gene expression profiles and full-length transcripts from cotton tissues will aid in understanding the genetic mechanism of abiotic stress tolerance in G. purpurascens .