Transcriptome profiling of tobacco under water deficit conditions
Roel C. Rabara,
Prateek Tripathi,
Mani Kant Choudhary,
Michael P. Timko,
Qingxi J. Shen,
Paul J. Rushton
Affiliations
Roel C. Rabara
Texas A&M AgriLife Research and Extension Center, Dallas, TX 75252, United States
Prateek Tripathi
Molecular and Computational Biology Section, Dana & David Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA 90089, United States
Mani Kant Choudhary
Texas A&M AgriLife Research and Extension Center, Dallas, TX 75252, United States
Michael P. Timko
Department of Biology, University of Virginia, Charlottesville, VA 22904, United States
Qingxi J. Shen
School of Life Sciences, University of Nevada, Las Vegas, NV 89154, United States
Paul J. Rushton
Texas A&M AgriLife Research and Extension Center, Dallas, TX 75252, United States
Drought is one of the limiting environmental factors that affect crop production. Understanding the molecular basis of how plants respond to this water deficit stress is key to developing drought tolerant crops. In this study we generated time course-based transcriptome profiles of tobacco plants under water deficit conditions using microarray technology. In this paper, we describe in detail the experimental procedures and analyses performed in our study. The data set we generated (available in the NCBI/GEO database under GSE67434) has been analysed to identify genes that are involved in the regulation of tobacco's responses to drought.
