USDA-ARS, Coastal Plains Soil, Water and Plant Research Center, Florence, South Carolina, United States of America.
PLoS One. 2013 Dec 6;8(12):e82634. doi: 10.1371/journal.pone.0082634. eCollection 2013.
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.
采用田间生长的充分浇水和自然降雨灌溉的棉花植株进行了 RNA-Seq 实验,以鉴定水分胁迫下差异表达的转录本。我们的工作首次将新发表的二倍体 D5 陆地棉序列应用于四倍体 AD1 陆地棉 RNA-seq 转录组分析的研究。在充分浇水和水分胁迫的根组织之间,共有 1530 个转录本差异表达,这些模式证实了该技术在未来棉花基因组学研究中的准确性。此外,差异表达转录本的基于假定序列的基因组定位检测到在水分胁迫下 A2 基因组的特异性基因表达。这些数据将有助于理解调控转录组调控机制的复杂反应,并鉴定可能有益于应用植物育种计划的候选基因。