IdDelPlat
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB71166 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR12370344.fastq.gz | Fastqsanger.gz | |||
| ERR12370345.fastq.gz | Fastqsanger.gz | |||
| ERR12374278_1.fastq.gz | Fastqsanger.gz | |||
| ERR12374278_2.fastq.gz | Fastqsanger.gz | |||
| ERR12374279_1.fastq.gz | Fastqsanger.gz |
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Project description:To dissect the gene regulatory networks operating during Scarlet Runner Bean seed development, we identified the binding sites genome-wide for transcription factor in Scarlet Runner Bean seeds during seed development using ChIP-seq
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Project description:Common bean (Phaseolus vulgaris L.) is the most consumed grain legume in developing countries in Latin America and Sub-Saharan Africa1. Like other legumes, common bean seeds are rich in protein, carbohydrates, fibers and other health-promoting phenolic compounds thus being vital for food security and income source for local small farmers2. Seed quality traits depend on accumulation of various storage molecules during the seed development (SD) process and influenced by the genotype and adaptive changes to environment3. Concerning common bean, there is still a lack of a deeper molecular knowledge of SD that is hampering the development of new biotech approaches for seed trait modulation and could timely address challenges of agriculture or industry. Our present work aims to unravel the molecular mechanisms underlying SD using a proteomic approach. To achieve this goal, we characterized SD in terms biomass, seed length and weight in the genotype SER16, one of the most promissory drought-resistant release of the CIAT-CGIAR. Seed samples were collected at the 4 main SD stages: Late-Embryogenesis (10 days after anthesis, d.a.a.), Early (20 d.a.a.) and Late Maturation (30 d.a.a.) and Desiccation (40 d.a.a.). The analysis of bean proteome was conducted using a gel-free proteomic analysis (LC-MS/MS) under the scope of EU-FP7-PRIME-XS project. A total of 410 unique proteins were differentially expressed throughout the 4 major seed development stages, in which most of the identified proteins belong in the ‘protein metabolism’ (31,98%) functional category, that includes synthesis, regulation, folding. Other functional categories are represented such as carbohydrate and lipid metabolism (11,26%) and stress/defense and redox metabolism (11,04%). We identified 93 proteins were unique to the first (10-20 d.a.a.), 22 to the second (20-30 d.a.a.) and 40 to the last (30-40 d.a.a.) phase transition, reflecting the major biological processes occurring at this specific seed developmental stage. This study will contribute to reveal key metabolic pathways and mechanisms with potential role in modulating common bean seed development and quality traits.
2018-01-05 | PXD002254 | Pride
Project description:Gene expression profiles in soybean seeds at 4 developmental stages, pod, bean 2 mm, bean 5 mm, and full-sized bean, were examined by DNA microarray analysis. Total genes of each samples were classified into 4 clusters according to developmental stages. Differentially expressed genes (DEGs) were extracted by comparing their expression in two adjacent stages, by using the rank product method. To characterize the gene expression during seed development, DEGs were sorted into 8 clusters by the hclust function, according to gene expression patterns. Keywords: time course Soybean seeds were selected at successive stages of early development for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain transitional changes in gene expression during seed develpment.
2011-01-05 | E-GEOD-26443 | biostudies-arrayexpress
Project description:Gene expression profiles in soybean seeds at 4 developmental stages, pod, bean 2 mm, bean 5 mm, and full-sized bean, were examined by DNA microarray analysis. Total genes of each samples were classified into 4 clusters according to developmental stages. Differentially expressed genes (DEGs) were extracted by comparing their expression in two adjacent stages, by using the rank product method. To characterize the gene expression during seed development, DEGs were sorted into 8 clusters by the hclust function, according to gene expression patterns. Keywords: time course
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Project description:To understand the molecular basis for differences of common bean wild-type and mutant in sulphur amino acid content, transcripts were profiled at four developmental stages of seeds from wild-type SARC1 and major seed storage protein-deficient line SMARC1N-PN1 using a CustomArray 90K array. Microarray data confirmed that transcripts of storage and sulphur-rich proteins and sulphur-metabolism related genes were differentially expressed between the lines. The common bean (Phaseolus vulgaris) mutant line, SMARC1N-PN1 and its wild type, SARC1 used in the microarray experiment were grown in the field in London, ON, in 2009. Four developmental stages of seeds, based on fresh seed weight, were harvested. The stages of seeds used are Stage IV M-bM-^@M-^S cotyledon, 25 mg seed weight; Stage V M-bM-^@M-^S cotyledon, 50 mg seed weight; Stage VI M-bM-^@M-^S maturation, 150 mg seed weight, corresponding to the most active phase of reserve accumulation; and Stage VIII M-bM-^@M-^S maturation, 380 mg seed weight, corresponding to the onset of desiccation, were harvested for total RNA extraction. Four biological replicates for Stage IV and V and 3 biological replicates for Stage VI and VIII.
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Project description:Effective weed management tools are crucial for maintaining the profitable production of snap bean (Phaseolus vulgaris [L.]). Preemergence herbicides help the crop to gain a size advantage over the weeds, but the few preemergence herbicides registered in snap bean have poor waterhemp (Amaranthus tuberculatus) control, a major pest in snap bean production. Waterhemp and other difficult-to-control weeds can be managed by flumioxazin, an herbicide that inhibits protoporphyrinogen oxidase (PPO). However, there is limited knowledge about crop tolerance to this herbicide. We aimed to quantify the degree of snap bean tolerance to flumioxazin and explore the underlying mechanisms. A genome-wide association mapping approach was employed, utilizing field-collected data from a snap bean diversity panel. The response to a preemergence application of flumioxazin was measured by assessing plant population density and shoot biomass variables. Snap bean tolerance to flumioxazin is associated with a single genomic location in chromosome 02. Tolerance is influenced by several factors, including those that are indirectly affected by seed size/weight and those that directly impact the herbicide's metabolism and protect the cell from reactive oxygen species induced damage. Transcriptional profiling and co-expression network analysis identified biological pathways likely involved in flumioxazin tolerance, including oxidoreductase processes. Upregulation of genes involved in those processes is possibly orchestrated by a transcription regulator located in the region identified in the GWAS analysis. Several entries belonging to the Romano class, including Bush Romano 350, Roma II, and Romano Purpiat presented high levels of tolerance in this study. The alleles identified in the diversity panel that condition snap bean tolerance to flumioxazin shed light on a novel mechanism of herbicide tolerance and can be used in crop improvement.
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