Glycine max strain:Prima 2000
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA261105 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Soybean (Glycine max, cv Williams82) leaf petiole explants exposed to 25 ul/l ethylene for 0 to 72 h. Explants were prepared from 21 day-old greenhouse grown plants. Leaf abscission zones (LAZ) consisted of 2 mm of tissue collected below the leaf blade. The petioles (NAZ) consisted of approximately 3 to 4 mm of petiole tissue with the AZ removed. Explants and tissue were collected in February, March and April of 2013. Tissue and RNA were collected at USDA, Beltsville, MD (Mark L Tucker, Joonyup Kim and Ronghui Yang). Library construction and sequencing was completed at Univ of Cornell, Itheca, NY using a Illumina HiSeq 2000 (James J Giovannoni and Zhangjun Fei).
2015-02-06 | E-MTAB-5066 | biostudies-arrayexpress
Project description:Cytosine methylation is a base modification that is often used by genomes to store information that is stably inherited through mitotic cell divisions. Most cytosine DNA methylation is stable throughout different cell types or by exposure to different environmental conditions in plant genomes. Here, we profile the epigenomes of ~100 Glycine max lines to explore the extent of natural epigenomic variation. We also use these data to determine the extent to which DNA methylation variants are linked to genetic variations.
2018-05-07 | GSE114074 | GEO
Project description:Transformation of Glycine max with seed-targeted expression vectors via Agrobacterium causes measurable unscripted gene expression changes in the seed transcriptome
2015-10-04 | GSE64620 | 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. SUBMITTER_CITATION: Biology 2013, 2(4), 1311-1337; doi:10.3390/biology2041311 Changes in RNA Splicing in Developing Soybean (Glycine max) Embryos Delasa Aghamirzaie, Mahdi Nabiyouni, Yihui Fang, Curtis Klumas, Lenwood S. Heath, Ruth Grene and Eva Collakova SUBMITTER_CITATION: Metabolites 2013, 3(2), 347-372; doi:10.3390/metabo3020347 Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max) Embryos Eva Collakova, Delasa Aghamirzaie, Yihui Fang, Curtis Klumas, Farzaneh Tabataba, Akshay Kakumanu, Elijah Myers, Lenwood S. Heath and Ruth Grene Total mRNA profiles of 10 time course samples of Soybean developing embryos with three replicates per sample were generated by deep sequencing, using Illumina HiSeq 2000
2013-12-13 | E-GEOD-46153 | biostudies-arrayexpress
Project description:Little is known about plant pathogenic response to parasitic plants, although some parasitic plants affect crop production in certain areas. To study this, we chose Glycine max as the model host plant and investigated changes in expression patterns after parasitization by Cuscuta using microarrays. Transcriptional change of Glycine max stem with and without Cuscuta at 2 different stages were compared
2014-06-27 | E-GEOD-51328 | biostudies-arrayexpress
Project description:Glycine max and Phytophthora sojae infected Glycine max Transcriptome
| PRJNA318321 | ENA