Glycine max
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA214193 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:RNA-seq of two soybean accessions under water deficit
2014-10-03 | E-MTAB-4352 | biostudies-arrayexpress
Project description:Transcriptomics Analyses of tobacco leaves and roots sample during water-deficit
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Project description:We conducted a genome-wide transcriptomic analysis in soybean leaves and roots treated with zinc (Zn) deficiency using RNA sequencing (RNA-seq) technology. Two biological replicates of RNA-seq were included for Zn-sufficient leaves (ZSL), Zn-deficient leaves (ZDL), Zn-sufficient roots (ZSR), and Zn-deficient roots (ZDR). Therefore a total of eight 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 Zn-deficiency responsive genes. At least 20 genes that are potentially involved Zn homeostasis were significantly changed by Zn deficiency, including 7 ZIP (ZRT, IRT-related protein) transporter genes, 3 nicotianamine synthase genes, and 7 metallothionein genes. At least 48 genes encoding likely Zn-binding proteins were found to be responsive to Zn deficiency in leaves or roots. Eighty-five transcription factor genes were significantly changed by Zn deficiency in leaves or roots, including 5 bZIP members and 10 Golden 2-like members. In addition, some other groups of genes which are possibly related to reactive oxygen species scavenging, calcium and hormone signaling, and protein phosphorylation and dephosphorylation also differentially expressed under Zn deficiency.
2019-03-30 | GSE111799 | GEO
Project description:Daytime soybean transcriptome fluctuations during water deficit stress
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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: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:By sequencing 36 cDNA libraries with Illumina technology, we identified genes differentially expressed in soybean plants in response to water deficit and genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes (Glyma v1.1), 35.52% exhibited expression oscillations in a 24 h period. This number increased to 39.23% when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants. Gene expression analysis of soybean leaves under water deficit in 6 periods of day by sequencing 36 libraries, in triplicate, in Illumina platform.
2015-07-07 | E-GEOD-69469 | biostudies-arrayexpress
Project description:Circadian transcriptome of soybean unifoliolate leaves
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Project description:Soybean plants were subjected to a multifactorial stress combination of up to five different stresses (water deficit, salinity, low phosphate, acidity, and cadmium), in an increasing level of complexity. All stresses were applied at the beginning of the experiment except for water deficit stress that was imposed after 21 days. Leaves and flowers were collected from 5-7 different plants under the mentioned stress conditions and after 10 days of starting water deficit conditions. Differential gene expression compared to control was studied using RNAseq method for all the possible stress combinations.
2023-07-23 | GSE237798 | GEO