Ontology highlight
ABSTRACT:
PROVIDER: PRJNA687319 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The effect of sucrose feeding on gene expression in Arabidopsis thaliana leaves was investigated using affymetrix ATH1 microarrays. For this, petioles of detached leaves were put in a solution containing either sucrose or sorbitol (control). Sugars were taken up into the leaf via the respiration stream for 13 hours. After that, leaves were frozen in liquid nitrogen and RNA was extracted for analysis. Keywords: sucrose feeding
2008-01-05 | GSE4022 | GEO
Project description:The effect of sucrose feeding on gene expression in Arabidopsis thaliana leaves was investigated using affymetrix ATH1 microarrays. For this, petioles of detached leaves were put in a solution containing either sucrose or sorbitol (control). Sugars were taken up into the leaf via the respiration stream for 13 hours. After that, leaves were frozen in liquid nitrogen and RNA was extracted for analysis. Experiment Overall Design: The effect of sucrose feeding on gene expression was investigated using affymetrix ATH1 microarrays. For this, petioles of detached leaves were put in a solution containing either sucrose or sorbitol (control). Sugars were taken up into the leaf via the respiration stream for 13 hours. After that, leaves were frozen in liquid nitrogen and RNA was extracted for analysis.
2008-06-12 | E-GEOD-4022 | biostudies-arrayexpress
Project description:Intercropping is a sustainable agricultural practice widely used around the world for enhancing resource use efficiency. However, short crops often grow in shade condition underneath the canopy of tall crops. Soybean is one of the most important oil crops and usually is planted in intercropping patterns. However, little is known about the acclimation responses of soybean leaves to shade in intercropping condition at the transcriptome level.
2013-07-11 | E-MTAB-4279 | biostudies-arrayexpress
Project description:Drought-responsive genes in soybean leaves were successfully identified using Affymetrix Soybean Gene 1.0 ST arrays on leaves samples of reproductive-stage soybean plants. R1 soybean plants planted in pots were imposed drought by withholding water for 5 days until the soil moisture content dropped to 5%, and 3rd trifoliates (now at the R2 stage) were collected for expression profiling.
2012-11-10 | GSE40604 | GEO
Project description:The transcript responses of both growing, trifoliate 6 and fully expanded, trifoliate 4 soybean leaves to elevated CO2 was investigated. We also compared the transcriptome of fully expanded vs. developing leaves in both ambient and elevated CO2. Keywords = soybean Keywords = elevated carbon dioxide Keywords = global change Keywords = leaf growth Keywords = plant Keywords: soybean leaf comparisons
2006-08-23 | GSE5573 | GEO
Project description:Drought-responsive genes in soybean leaves were successfully obtained using soybean gene 1.0 ST array. Leaf samples from the vegetative stage of soybean plants were used.
2012-04-03 | GSE29663 | GEO
Project description:Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines. We used microarrays to characterize the soybean plant's transcriptional defense against aphids in two related cultivars, a susceptible line and a resistant line with the Rag1 aphid-resistance gene. We measured trancript levels in leaves after one and seven days of aphid infestation.
2012-01-31 | GSE35427 | GEO
Project description: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. Some DEGs potentially involved in Pi sensing, signaling, and homeostasis were up-regulated by Pi deprivation, including five SPX-containing genes. Some DEGs possibly associated with water and nutrient uptake, hormonal and calcium signaling, protein phosphorylation and dephosphorylation, and cell wall modification were affected at the early stage of Pi deprivation. At least thirty-one transcription factor genes belonging to 10 diverse families were found to be responsive to Pi starvation.
2018-12-25 | GSE104286 | GEO
Project description:Manganese (Mn) stress is known to be a major limitation for development of soybean, and legume crop productivity globally. However, very little information is available on the adaptive mechanisms, particularly in the important legume crop soybean (Glycine Max L.), which enable leaves to respond to high-Mn availability. Thus, to elucidate these mechanisms in soybean leaves at molecular level, we used an RNA sequencing approach to investigate transcriptomes of the leaves under Mn-sufficient and Pi-excessive conditions. Our investigation revealed that more genes showed altered expression patterns in old leaf than in young leaf under Mn excess, suggesting that the Mn excess-more-sensitive old leaf required expression change in a larger number of genes to cope with high-Mn stress than the Mn excess-less-sensitive young leaf. The functional classification of differentially expressed genes (DEGs) was examined to gain an understanding of how leaves respond to Mn stress, caused by soil Mn excess. As a result, more DEGs involved in nodulation, detoxification, nutrient/ion transport, transcriptional factors, key metabolic pathways, Mn remobilization and signalling were found in Mn-excessive induced old leaves than in Mn-excessive induced young leaves. Our findings have enabled the identification of molecular processes that play important roles in the acclimation of leaves to Mn excess, ultimately leading to the development of Mn-efficient soybean suitable for Mn-excessive soils.
2022-08-16 | GSE118649 | GEO