RNA-Seq transcriptome profiling of upland cotton (Gossypium hirsutum L.) root tissue under water-deficit stress

PLoS One. 2013 Dec 6;8(12):e82634. doi: 10.1371/journal.pone.0082634. eCollection 2013.

Abstract

An RNA-Seq experiment was performed using field grown well-watered and naturally rain fed cotton plants to identify differentially expressed transcripts under water-deficit stress. Our work constitutes the first application of the newly published diploid D5 Gossypium raimondii sequence in the study of tetraploid AD1 upland cotton RNA-seq transcriptome analysis. A total of 1,530 transcripts were differentially expressed between well-watered and water-deficit stressed root tissues, in patterns that confirm the accuracy of this technique for future studies in cotton genomics. Additionally, putative sequence based genome localization of differentially expressed transcripts detected A2 genome specific gene expression under water-deficit stress. These data will facilitate efforts to understand the complex responses governing transcriptomic regulatory mechanisms and to identify candidate genes that may benefit applied plant breeding programs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Biological / genetics
  • Cluster Analysis
  • Droughts*
  • Gene Expression Profiling
  • Gene Expression Regulation, Plant
  • Gene Regulatory Networks
  • Gossypium / genetics*
  • Gossypium / metabolism*
  • Metabolic Networks and Pathways
  • Molecular Sequence Annotation
  • Plant Roots / genetics*
  • Plant Roots / metabolism*
  • Sequence Analysis, RNA
  • Stress, Physiological / genetics*
  • Transcriptome*

Grants and funding

This research project was supported by funding from CRIS No. 6657-21000-006-00D of the U.S. 376 Department of Agriculture and a grant from Cotton Incorporated (Agreement No. 12-377 208). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.