GEO DataSets

(Submitter supplied) Purpose: The goals of this study are to compare differentially expressed transcripts in roots and leaves of spinach plants grown under nitrogen replete and deplete conditions using transcriptome profiling (RNA-seq)

Organism:

Spinacia oleracea

Type:

Expression profiling by high throughput sequencing

Platform:

GPL28198

12 Samples

Download data: TXT

(Submitter supplied) Purpose: The goals of this study are to compare differentially expressed transcripts in roots and leaves of spinach cultivars with distinct oxalate contents using transcriptome profiling (RNA-seq)

Organism:

Spinacia oleracea

Type:

Expression profiling by high throughput sequencing

Platform:

GPL28198

12 Samples

Download data: XLSX

(Submitter supplied) Purpose: The goals of this study are to compare differentially expressed transcripts in seedlings of watermelon during salt stress using transcriptome profiling (RNA-seq)

Organism:

Citrullus lanatus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL28123

6 Samples

Download data: XLSX

(Submitter supplied) Sorghum is an important cereal crop, which requires large quantities of nitrogen fertilizer for achieving commercial yields. Identification of the genes responsible for low-N tolerance in sorghum will facilitate understanding of the molecular mechanisms of low-N tolerance, and also facilitate the genetic improvement of sorghum through marker-assisted selection or gene transformation. In this study we compared the transcriptomes of root tissues from seven sorghum genotypes having different genetic backgrounds with contrasting low-N tolerance by the RNAseq deep sequencing data. more...

Organism:

Sorghum bicolor

Type:

Expression profiling by high throughput sequencing

Platform:

GPL13779

28 Samples

Download data: TXT

(Submitter supplied) Here, we first systematically identified and characterized responsive mRNAs expressed in roots of sugar beet at a genome-wide scale, focusing on salt-responsive mRNAs.

Organism:

Beta vulgaris

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24330

12 Samples

Download data: TXT

(Submitter supplied) Nitrogen (N), the primary limiting factor for plant growth and yield in agriculture, has a patchy distribution in soils due to fertilizer application or decomposing organic matter. Studies in solution culture over-simplify the complex soil environment where microbial competition and spatial and temporal heterogeneity challenge roots’ ability to acquire adequate amounts of nutrients required for plant growth. more...

Organism:

Solanum lycopersicum

Type:

Expression profiling by array

Platform:

GPL4741

9 Samples

Download data: CEL

(Submitter supplied) We conducted a genome-wide transcriptomic analysis in soybean leaves treated with a short-term (24 h) Pi-deficiency using RNA sequencing (RNA-seq) technology. Two biological replicates of RNA-seq were included for both Pi-sufficient leaves (PSL) and Pi-deficient leaves (PDL), and therefore a total of four libraries were constructed. Using a 2-fold change and a P-value ≤0.05 as the cut-off for selecting the differentially expressed transcripts, we globally identified short-term Pi-stress responsive genes. more...

Organism:

Glycine max

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15008

4 Samples

Download data: XLSX

(Submitter supplied) Although urea is the most used nitrogen fertilizer worldwide, little is known on the capacity of crop plants to use urea per se as a nitrogen source for development and growth. To date, the molecular and physiological bases of its transport have been investigated only in a limited number of species. In particular, up to date only one study reported the transcriptomic modulation induced by urea treatment in the model plant Arabidopsis (Mérigout et al., 2008 doi: 10.1104/pp.108.119339). more...

Organism:

Zea mays

Type:

Expression profiling by array

Platform:

GPL17540

12 Samples

Download data: PAIR, TXT

(Submitter supplied) We used dithiothreitol (DTT) and tauroursodeoxycholic acid (TUDCA) to induce or suppress ER stress in wheat cells, respectively, with the aim to reveal the molecular background of ER stress responses using RNA sequencing. Transcriptomic analysis revealed that 8204 genes were differentially expressed in three treatment groups. Among these genes, 158 photosynthesis-related genes, 42 antioxidant enzyme genes, 318 plant hormone-related genes and 457 transcription factors (TFs) might play vital roles in regulating wheat response to ER stress.

Organism:

Triticum aestivum

Type:

Expression profiling by high throughput sequencing

Platform:

GPL23509

9 Samples

Download data: TXT

(Submitter supplied) Understanding gene expression re-programming in response to limiting nitrogen (N) conditions is crucial for ongoing progress towards the development of crop varieties with improved nitrogen use efficiency. We analyzed expression data obtained from leaves and roots of rice plants adapted to sufficient and limiting nitrate as well as after shifting them to low (reduction) and sufficient (induction) nitrate conditions.

Organism:

Oryza sativa Japonica Group

Type:

Expression profiling by array

Platform:

GPL19158

24 Samples

Download data: CEL

(Submitter supplied) Jatropha curcas, a multipurpose plant attracting much attention due to its high oil content and quality for biofuel, is recognized as a drought tolerant species. However, this drought tolerance is still poorly characterized. This study aims to contribute to uncover the molecular background of this tolerance, with the use of a combined approach of transcriptional profiling and morphophysiological characterization along a period of water withholding (49 days) followed by rewatering (7 days). more...

Organism:

Jatropha curcas

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17695

22 Samples

Download data: TXT

(Submitter supplied) Genome-wide Transcriptional Analysis of Genes Associated with Drought Stress in Gossypium herbaceum root This experiment was designed to investigate the molecular mechanism associated with drought tolerance in root tissue of Gossypium herbaceum. The gene expression profiles of the root tissue using Affymetrix Cotton Genome Array were compared with drought tolerant and drought sensitive genotype of G.herbaceum under drought stress and watered condition. more...

Organism:

Gossypium arboreum; Gossypium herbaceum; Gossypium hirsutum; Gossypium barbadense; Gossypium raimondii

Type:

Expression profiling by array

Platform:

GPL8672

12 Samples

Download data: CEL, CHP

(Submitter supplied) Metal oxide engineered nanoparticles, which are widely used in diverse applications, are known to impact terrestrial plants. These nanoparticles have a potential to induce changes in plant tissue transcriptomes, and thereby the productivity. Here we looked at how the two commonly used nanoparticles, nano-titania (TiO2) and nano-ceria (CeO2) can impact the underlying mechanisms associated plant growth at genome level. more...

Organism:

Arabidopsis thaliana

Type:

Expression profiling by array

Platform:

GPL198

24 Samples

Download data: CEL