Transcriptomics analyses of soybean leaf and root samples during water-deficit.
Drought being a major challenge for crop productivity and yield affects multigenic and quantitative traits. It is also well documented that water stress shows a cross talk with other abiotic stresses such as high temperature and high light intensities (Tripathi et al., 2013) [1]. In this report, we documented the details of the methods and quality controls used and considered in our time course-based transcriptome profile of soybean plants under water deficit conditions using microarray technology. The findings of this study are recently published by the Rushton lab in BMC Genomics for a comparative study of tobacco and Soybean (Rabara et al., 2015) [2]. The raw microarray data set is deposited in GEO database with accession number GSE49537.
Molecular and Computational Biology Section, University of Southern California, Los Angeles, CA 90089, USA.
Prateek
P
Tripathi
Texas A&M AgriLife Research & Extension Center Dallas, TX 75252, USA.
Roel C
RC
Rabara
School of Life Sciences, University of Nevada, Las Vegas, NV 89154, USA.
Qingxi J
QJ
Shen
Texas A&M AgriLife Research & Extension Center Dallas, TX 75252, USA.
Paul J
PJ
Rushton
Drought; Genomics; Microarray; Soybean; Transcriptomics; WRKY