Glycine max
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA148933 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:cDNA Microarray Analysis of NILs under Fe Deficient Hydroponic Conditions
| PRJNA97977 | ENA
Project description:cDNA Microarray Analysis of Soybean NILs under Fe Sufficient Hydroponic Conditions
| PRJNA98041 | ENA
Project description:Complementary genetic and genomic approaches help characterize the linkage group I seed protein QTL
| PRJNA79599 | ENA
Project description:The seed coat is a vital tissue for directing nutrient supply to the embryo and cotyledons during development. By forming a sucrose gradient, the seed coat promotes transport of sugars from source leaves to seeds, thereby increasing sink strength. Understanding how gene regulation in sink tissue is altered by climate change factors will help elucidate the role these genes play in determining yield. This project aims to determine how elevated temperature, drought and ozone alter gene expression in the seed coat. Overall this study discovered high abundance seed coat specific genes, which may be candidates for functional genomic analysis in the future.
2014-03-04 | E-MTAB-5076 | biostudies-arrayexpress
Project description:Two Near Isogenic soybean (Glycine max) lines were grown in hydroponic conditions with either 50uM ferric nitrate or 100uM ferric nitrate. After 10 days, half the plants were harvested (total root tissue). At 12 days after planting, iron was added to plants grown in low iron conditions bringing them up to sufficient iron growth conditions. Root tissue was harvested for the remaining plants at 14 days after planting. Gene expression analysis from root tissue of two Near Isogenic Lines (NILs), Clark (PI548553) and IsoClark (PI547430), grown in iron stress or iron stress recovered conditions.
2010-09-06 | GSE22227 | GEO
Project description:Soybean (Glycine max) seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing soybean embryos to gain a systems biology view of developmental and metabolic changes and to identify potential targets for metabolic engineering. Two major developmental and metabolic transitions were captured enabling identification of potential metabolic engineering targets specific to seed filling and to desiccation. The first transition involved a switch between different types of metabolism in dividing and elongating cells. The second transition involved the onset of maturation and desiccation tolerance during seed filling and a switch from photoheterotrophic to heterotrophic metabolism. Clustering analyses of metabolite and transcript data revealed clusters of functionally related metabolites and transcripts active in these different developmental and metabolic programs. The gene clusters provide a resource to generate predictions about the associations and interactions of unknown regulators with their targets based on guilt-by-association relationships. The inferred regulators also represent potential targets for future metabolic engineering of relevant pathways and steps in central carbon and nitrogen metabolism in soybean embryos and drought and desiccation tolerance in plants.
2013-12-13 | GSE46153 | GEO
Project description:Controlled deterioration treatment (CDT) negatively affects the seed quality and vigor during post-harvest storage. A label-free proteomic approach was utilized to understand the CDT responses in soybean seeds. Soybean seed are rich in seed-storage proteins (SSPs) constituting up to 70 to 80% of the total seed protein content. Due to the presence of these SSPs, it is very difficult to identify and/or characterize the low-abundance regulatory proteins. Availability of appropriate methods for extraction of low-abundance proteins (LAPs) are now providing a platform for the identification of novel proteins involved in the signal perception and transduction during environmental perturbations. To enrich LAPs, the extracted total seed proteins were subjected to protamine sulfate precipitation (PSP) method to deplete SSPs. Fractionated protein fractions thus prepared were analyzed for identification of differential proteins using Label-free quantitative proteomics approaches.
2017-10-10 | PXD006064 | Pride
Project description:Ten mutants with altered seed composition traits were identified in a soybean fast neutron population (Bolon et al. 2014). These mutant lines were maintained to an advanced generation (ranging between M5 and M9) and compared to their wild-type parent (M92-220-Long) using CGH to identify the causative region/gene associated with the seed composition changes.
2018-08-16 | GSE118594 | GEO
Project description:Two Near Isogenic soybean (Glycine max) lines were grown in hydroponic conditions with either 50uM ferric nitrate or 100uM ferric nitrate. After 10 days, half the plants were harvested (total root tissue). At 12 days after planting, iron was added to plants grown in low iron conditions bringing them up to sufficient iron growth conditions. Root tissue was harvested for the remaining plants at 14 days after planting. Gene expression analysis from root tissue of two Near Isogenic Lines (NILs), Clark (PI548553) and IsoClark (PI547430), grown in iron stress or iron stress recovered conditions. A total of 24 samples from four growth conditions, three biological replicates per treatment
2010-09-06 | E-GEOD-22227 | biostudies-arrayexpress
Project description:Methylation Changes During Soybean Seed Development
| PRJNA151265 | ENA