Glycine max
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA325298 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3655480_1.fastq.gz | Fastqsanger.gz | |||
| SRR3655480_2.fastq.gz | Fastqsanger.gz | |||
| SRR3655490_1.fastq.gz | Fastqsanger.gz | |||
| SRR3655490_2.fastq.gz | Fastqsanger.gz | |||
| SRR3655481_1.fastq.gz | Fastqsanger.gz |
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Project description:Seed germination is important to soybean (Glycine max) growth and development, ultimately affecting soybean yield. A lower seed field emergence has been the main hindrance for breeding soybeans low in phytate. Although this reduction could be overcome by additional breeding and selection, the mechanisms of seed germination in different low phytate mutants remain unknown. In this study, we performed a comparative transcript analysis of two low phytate soybean mutants (TW-1 and TW-1-M), which have the same mutation, a 2 bp deletion in GmMIPS1, but show a significant difference in seed field emergence.
2016-12-05 | GSE83152 | GEO
Project description:The temporal expression profile of Glycine max seeds was carried out to identify genes that are differentially expressed (DE) during seed development. Using the Affymetrix chip, we have for the first time provided a holistic view of the transcriptional landscape during seed development in four different developmental stages in Glycine max. cv. Pusa 16. The analysis of the differential expression patterns and functional category enrichment of DE genes highlighted specific and common significant coordination and enrichment of various biological processes during seed development which have led to the identification of few candidate genes related to inositol metabolism and especially in phytate biosynthesis. In conclusion, we have shown here a logical approach to identify possible candidate genes for fine tuning the metabolic flux for phytate generation, which may be altered by metabolic engineering in developing a low phytate phenotype.
2015-08-11 | GSE69821 | GEO
Project description:The temporal expression profile of Glycine max seeds was carried out to identify genes that are differentially expressed (DE) during seed development. Using the Affymetrix chip, we have for the first time provided a holistic view of the transcriptional landscape during seed development in four different developmental stages in Glycine max. cv. Pusa 16. The analysis of the differential expression patterns and functional category enrichment of DE genes highlighted specific and common significant coordination and enrichment of various biological processes during seed development which have led to the identification of few candidate genes related to inositol metabolism and especially in phytate biosynthesis. In conclusion, we have shown here a logical approach to identify possible candidate genes for fine tuning the metabolic flux for phytate generation, which may be altered by metabolic engineering in developing a low phytate phenotype. Seeds of Glycine max grown at 28/26°C, 16h/8h light/dark were collected at different developmental stages( 0-4mm, 4-8mm, 8-12mm and 12-16mm ) and analyzed. Samples in triplicates from each developmental stage were used for data generation on Affymetrix Chip, each time the earlier developmental stage was considered as control Vs the treatment, corresponding to the later developmental stage. For each biological replicates, RNA was extracted from 20 seeds collected from 5 different plants, grown in the same conditions using the Trizol method. RNA integrity was analyzed using bio analyzer (with RIN value more than 8).
2015-08-11 | E-GEOD-69821 | biostudies-arrayexpress
Project description:Flux of transcript patterns during soybean seed development
| PRJNA121455 | ENA
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:Genome-Wide Transcript Profiling During Soybean Seed Development and Throughout the Soybean Life Cycle
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Project description:Molecular characterization of leaf development has not been well studied in soybean. Studies have shown that genomic regions controlling multifoliate leaf morphology in Glycine max also regulates important agronomic characters including yield, seed weight, seed number, shattering, plant growth, and flowering. Two soybean isolines that differed in leaf phenotype were profiled by high throughput RNA and small RNA (sRNA) sequencing. A Clark isoline, homozygous for a dominant mutant allele, Lf1, that specifies a five-foliate compound leaf was compared to wild type Clark that is homozygous for the standard allele that produces trifoliate leaves. Although Lf1 is dominant, it presents variable expressivity as the young plantlets with the Lf1Lf1 genotype initially have trifoliate leaves in the first few weeks, after which they transition to five-foliate leaves. At later developmental stages, they begin to produce four-foliate or trifoliate leaves. In RNA-Seq experiments, a total of 91 and 95 million reads were generated in each lane of Illumina sequencing for the shoot tip of wild type Clark standard (CS) and mutant Clark five-foliate (CF) libraries, respectively. Of these, ~70% million reads aligned to the 78,743 target Glyma models from the reference soybean genome (cv. Williams 82) with maximum of 3 mismatches and up to 25 alignments. Where as in vegetative bud, 56 (CS) to 59 (CF) million reads were produced and of these ~80% aligned to the soybean reference genome. The comparative studies of the transcript profiles of the wild-type versus mutant line revealed a number of differentially expressed genes. A total of 1,296 and 2,083 genes were up-regulated in the shoot tip of CS and CF, respectively that showed ≥2-fold expression difference. On the contrary in the vegetative bud, much smaller number of genes 14 (CS) and 94 (CF) showed increased transcript abundance. In sRNA analysis, a collection of 200,447 and 268,508 unique sRNA sequences isolated from shoot tip tissue of CS and CF were aligned to the soybean reference genome and their target glyma models were predicted using bioinformatics. This sRNA analysis at genome level reveals differences in size distribution of classes in the CS and CF. This study provides insight into the initial understanding of leaf development in soybean by revealing a number of genes and sRNAs differentially expressed between the CS and CF.
2024-12-16 | GSE41200 | 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:The plant cell wall performs a number of essential functions including providing shape to many different cell types and serving as a defense against potential pathogens. The net pattern mutation creates breaks in the seed coat of soybean (Glycine max) because of ruptured cell walls. Using RNA-Seq, we examined the seed coat transcriptome from three stages of immature seed development in two pairs of isolines with normal or defective seed coat phenotypes due to the net pattern. The genome-wide comparative study of the transcript profiles of these isolines revealed 364 differentially expressed genes in common between the two varieties that were further divided into different broad functional categories. Genes related to cell wall processes accounted for 19% of the differentially expressed genes in the middle developmental stage of 100-200 mg seed weight. Within this class, the cell wall proline-rich and glycine-rich protein genes were highly differentially expressed in both genetic backgrounds. Other genes that showed significant expression changes in each of the isoline pairs at the 100-200 mg seed weight stage were xylem serine proteinase, fasciclin-related genes, auxin and stress response related genes, TRANSPARENT TESTA 1 (TT1) and other transcription factors. The mutant appears to shift the timing of either the increase or decrease in the levels of some of the transcripts. The analysis of these data sets reveals the physiological changes that the seed coat undergoes during the formation of the breaks in the cell wall. Examination of soybean isolines in two different genetic background at three different seed weight stages: Seed coats of Clark standard (CS, wild type) & Clark defective (CD, seed coat mutant), Harosoy Standard (HS) & Harosoy defective (HD) at 50-100mg, 100-200mg and 400-500mg.
2014-05-16 | E-GEOD-54903 | biostudies-arrayexpress
Project description:Transcript Profiling of Soybean Seed Compartments Using Laser Capture Microdissection Coupled With RNA-Seq
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