Ontology highlight
ABSTRACT:
PROVIDER: PRJNA217487 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Tobacco, as an important cash crop and model plant, has been studied and explored in various aspects. In China, Yunyan 87 was recognized as a flue-cured tobacco variety and had been widely concerned due to its excellent product quality characteristics. The quality of tobacco products depends on the compound collection of tobacco leaves, including pigments, carbohydrates, amino acids, polyphenols and alkaloids. Present study investigated tobacco seedlings, with the assistant of the untargeted metabonomic technology and the label-free proteomic technology to analyze metabolites and proteins differences in leaf, stem, and root groups respectively. From 298 metabolites and 4993 proteins obtained, there were significant differences in both primary and secondary metabolism involved aroma precursors biosynthesis in seedling tobacco leaves, stems, and roots, such as carbohydrate metabolism, energy metabolism, and amino acid biosynthesis, and secondary metabolism phenylpropanoids, flavonoids and alkaloid biosynthesis in this study. Especially alkaloids metabolites identification results showed nornicotine, anatabine, anatalline, and myosmine, were significantly higher in tobacco roots than in leaves, and stems at seedling stage.
2022-07-12 | PXD032082 | Pride
Project description:Microbial community of air-cured tobacco leaves
| PRJNA276980 | ENA
Project description:Nitrogen stress is the main abiotic stress factor affecting the carbon and nitrogen balance of flue-cured tobacco. Tandem mass tag (TMT) proteomics was used to compare the differently expressed proteins (DEPs) of flue-cured tobacco under high- (HN) and low- (LN) nitrogen stress, and Gene Ontology (GO) function annotation, Kyoto Encyclopedia for Genes and Genomes (KEGG) analysis, and protein-protein interaction (PPI) analysis were conducted. The results showed that the difference between LN and HN stress was mainly reflected in the formation pathways of carbon and nitrogen metabolism.
2024-08-22 | PXD055100 | iProX
Project description:The differential RNA-seq data contained within this entry is complemented by global RNA-seq. S. coelicolor and E. coli reference strains were grown in batch culture with shaking. The E. coli sample was extracted during mid-exponential growth, while the S. coelicolor sample was extracted at the start of pigmented antibiotic production. Each of the two samples was incubated with or without TAP (tobacco acid pyrophosphatase) before library construction. Thus, 4 libraries were analysed. TAP treatment allows the cloning and sequencing of 5' ends that were originally triphosphorylated.
2013-05-01 | E-GEOD-46507 | biostudies-arrayexpress
Project description:Topping is an important cultivating measure for flue-cured tobacco, and many genes had been found to be differentially expressed in response to topping. But it is still unclear how these genes are regulated. MiRNAs play a critical role in post-transcriptional gene regulation, so we sequenced two sRNA libraries from tobacco roots before and after topping, with a view to exploring transcriptional differences in miRNAs.Two sRNA libraries were generated from tobacco roots before and after topping. Solexa high-throughput sequencing of tobacco small RNAs revealed a total of 12,104,207 and 11,292,018 reads representing 3,633,398 and 3,084,102 distinct sequences before and after topping. The expressions of 136 conserved miRNAs (belonging to 32 families) and 126 new miRNAs (belonging to 77 families) were determined. There were three major conserved miRNAs families (nta-miR156, nta-miR172 and nta-miR171) and two major new miRNAs families (nta-miRn2 and nta-miRn26). All of these identified miRNAs can be folded into characteristic miRNA stem-loop secondary hairpin structures, and qRT-PCR was adopted to validate and measure the expression of miRNAs. Putative targets were identified for 133 out of 136 conserved miRNAs and 126 new miRNAs. Of these miRNAs whose targets had been identified, the miRNAs which change markedly (>2 folds) belong to 53 families and their targets have different biological functions including development, response to stress, response to hormone, N metabolism, C metabolism, signal transduction, nucleic acid metabolism and other metabolism. Some interesting targets for miRNAs had been determined. 2 samples examined:roots before and after topping
2014-11-01 | E-GEOD-33370 | biostudies-arrayexpress
Project description:Topping is an important cultivating measure for flue-cured tobacco, and many genes had been found to be differentially expressed in response to topping. But it is still unclear how these genes are regulated. MiRNAs play a critical role in post-transcriptional gene regulation, so we sequenced two sRNA libraries from tobacco roots before and after topping, with a view to exploring transcriptional differences in miRNAs.Two sRNA libraries were generated from tobacco roots before and after topping. Solexa high-throughput sequencing of tobacco small RNAs revealed a total of 12,104,207 and 11,292,018 reads representing 3,633,398 and 3,084,102 distinct sequences before and after topping. The expressions of 136 conserved miRNAs (belonging to 32 families) and 126 new miRNAs (belonging to 77 families) were determined. There were three major conserved miRNAs families (nta-miR156, nta-miR172 and nta-miR171) and two major new miRNAs families (nta-miRn2 and nta-miRn26). All of these identified miRNAs can be folded into characteristic miRNA stem-loop secondary hairpin structures, and qRT-PCR was adopted to validate and measure the expression of miRNAs. Putative targets were identified for 133 out of 136 conserved miRNAs and 126 new miRNAs. Of these miRNAs whose targets had been identified, the miRNAs which change markedly (>2 folds) belong to 53 families and their targets have different biological functions including development, response to stress, response to hormone, N metabolism, C metabolism, signal transduction, nucleic acid metabolism and other metabolism. Some interesting targets for miRNAs had been determined.
2014-11-01 | GSE33370 | GEO