Glycine max
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB14170 | ENA |
REPOSITORIES: ENA
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Project description:We present results from deep sequencing of small RNA populations from several genotypes of soybean and demonstrate that the CHS siRNAs accumulated only in the seed coats of the yellow varieties having either the dominant I or i-i alleles and not in the pigmented seed coats with homozygous recessive i genotypes. However, the diagnostic CHS siRNAs did not accumulate in the cotyledons of genotypes with the dominant I or i-i alleles thus demonstrating the novelty of an endogenous inverted repeat region of CHS genes driving RNA silencing in trans of non-linked CHS family members in a tissue-specific manner. The phenomenon results in inhibition of a metabolic pathway by siRNAs in one tissue allowing expression of the flavonoid pathway and synthesis of secondary metabolites in other organs as the chalcone synthase small RNAs are found in the seed coats of yellow seeded soybean varieties but not in the cotyledons of the same genotype.
2010-05-14 | GSE21825 | GEO
Project description:We present results from deep sequencing of small RNA populations from several genotypes of soybean and demonstrate that the CHS siRNAs accumulated only in the seed coats of the yellow varieties having either the dominant I or i-i alleles and not in the pigmented seed coats with homozygous recessive i genotypes. However, the diagnostic CHS siRNAs did not accumulate in the cotyledons of genotypes with the dominant I or i-i alleles thus demonstrating the novelty of an endogenous inverted repeat region of CHS genes driving RNA silencing in trans of non-linked CHS family members in a tissue-specific manner. The phenomenon results in inhibition of a metabolic pathway by siRNAs in one tissue allowing expression of the flavonoid pathway and synthesis of secondary metabolites in other organs as the chalcone synthase small RNAs are found in the seed coats of yellow seeded soybean varieties but not in the cotyledons of the same genotype. In order to compare the population of chalcone synthase related small RNAs, we sequenced 3 to 6 million small RNAs using the Illumina Genome Analyzer from the following four soybean cultivars and tissues with specific genotypes at the I locus: Richland immature seed coats (homozygous for the dominant I allele that specifies yellow seed coat); Williams immature seed coats (homozygous for the dominant i-i allele that specifies yellow seed coat with pigmented hilum) Williams (i-i/i-i yellow) immature cotyledons (homozygous for the dominant i-i allele that specifies yellow seed coat with pigmented hilum); Williams 55 immature seed coats (a Williams isogenic line homozygous for the recessive i allele that specifics pigmented seed coats. All seed coats and cotyledons were dissected from green stage immature seeds within the fresh weight range of 50-75 mg.
2010-05-13 | E-GEOD-21825 | biostudies-arrayexpress
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: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:Soybean cultivars OX951 & OX736, seed coat permeablity comparison
| PRJNA94943 | ENA
Project description:An overview of small RNAs sequences existing in seed development and contrasted with vegetative tissues of the soybean
2012-10-09 | GSE36728 | GEO
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: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:A transcriptome analysis of soybean seeds harvested at different developing stages (between stage 7.1 and stage 9) was carried out to understand the molecular events occuring during the acquisition of seed longevity during maturation.
2017-05-01 | GSE98199 | GEO
Project description:Soybean cultivars,Soybean Hydrophobic Protein(HPS) comparison
| PRJNA94015 | ENA