Botanical studies · 2017 · 70 citations · 18 references
Life SciencesPlant BiologyPlant SciencesPlant Molecular BiologyPlant PhysiologyTranscriptomicsDrought Stress PhysiologyDrought TolerancePlant Gene ExpressionPlant TranscriptomicsStress Response GenesTranscriptomics Of Stress ResponsesDrought StressDrought Stress Response GenesDrought Stress ResponsesDrought Stress TranscriptomicsDrought-induced Gene ExpressionGene Expression Regulation Under DroughtStress Tolerance Gene DiscoveryStress-responsive Gene Expression
BACKGROUND: Sunflower is recognized as one of the most important oil plants with strong tolerance to drought in the world. In order to study the response mechanisms of sunflower plants to drought stress, gene expression profiling using high throughput sequencing was performed for seedling leaves and roots (sunflower inbred line R5) after 24 h of drought stress (15% PEG 6000). The transcriptome assembled using sequences of 12 samples was used as a reference. RESULTS: 805 and 198 genes were identified that were differentially expressed in leaves and roots, respectively. Another 71 genes were differentially expressed in both organs, in which more genes were up-regulated than down-regulated. In agreement with results obtained for other crops or from previous sunflower studies, we also observed that nine genes may be associated with the response of sunflower to drought. CONCLUSIONS: The results of this study may provide new information regarding the sunflower drought response, as well as add to the number of known genes associated with drought tolerance.
18
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Manfred Grabherr, Brian J. Haas, Moran Yassour et al. · Nature Biotechnology · 2011 · 22.6K citations · Full text
Differential expression analysis for sequence count data
Simon Anders, Wolfgang Huber · Genome biology · 2010 · 16.4K citations · Full text
Gene ontology analysis for RNA-seq: accounting for selection bias
Matthew D. Young, Matthew J. Wakefield, Gordon K. Smyth et al. · Genome biology · 2010 · 7.8K citations · Full text