Ontology highlight
ABSTRACT:
PROVIDER: PRJNA784633 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Protein expression from berry skin of four different red grape biotypes was compared at a proteome-wide level by bottom-up shotgun proteomics, label free quantification and MaxQuant-assisted computational analysis. Red grapes were from a purebred Vitis vinifera (Aglianico cv.), a V. vinifera (local Sciascinoso cv.) grafted onto an American rootstock, an interspecific hybrid (V. vinifera × V. labrusca, Isabel) and an uncharacterized red grape with some hybrid lineage, as demonstrated by the presence of relatively high amounts of anthocyanidin 3,5-O-diglucosides. The aim was assessing the differences among red grape biotypes at a protein expression levels, also addressing the possible effect of the grafting on the phenotypic expression of some key metabolic enzymes in grape berries.
2022-02-22 | PXD025784 | Pride
Project description:Blanc Du bois grapes are gaining popularity in the South eastern US due to its distinctive flavor and disease tolerance characteristics. Berry composition at harvest is a major contributing factor of wine quality. Blanc Du bois grapes are harvested from EL-38 and EL-39 stages depending on the style of wine desired or harvested early to avoid rain nearing harvest. In the current study, gel-free proteome analysis was applied to investigate changes in enzymes, primary and secondary metabolism proteins during ripening and late ripe stage. Grape berries from EL-33, EL-34, EL-36, EL-38 and EL-39 were collected based on brix, acidity and density. Protein extracts from different berry stages were resolved by electrophoresis. Proteins were extracted from the gel as a single band, detained and subjected to proteolysis with sequencing grade trypsin. Trypsin digested peptides from different berry protein extracts were separated on a nano LC and the eluent was sprayed onto to a LTQ Orbitrap Velos mass spectrometer. The raw files were analyzed using Proteome Discoverer with Sequest and Mascot search nodes using Vitis species FASTA database (70,263 entries) and the data were further validated by Scaffold software. A total of 1091, 1131, 1078, 1042 and 1066 proteins were detected in EL-33, EL-34, EL-36, EL-38 and EL-39 of berries respectively. Statistical ANOVA analysis revealed 927 proteins present across the stages that are involved in various biochemical and metabolic pathways. Seventeen proteins including dihydroflavonol reductase, sucrose phosphate synthase, PR proteins increased more than three-fold between ripe and late ripe berry stages. Other proteins that increased during ripe and late ripe stage berries were alcohol dehydrogenase 1, anthocyanidin reductase, phospho-2-dehydro-3-deoxyheptonate aldolase, fatty acid hydroperoxide lyase, cinnamyl alcohol dehydrogenase, -isopiperitenol (-)-carveol and SAM-methyltransferases.
2018-04-09 | PXD004157 | Pride
Project description:Grape berries undergo considerable physical and biochemical changes during the ripening process. Ripening is characterized by a number of changes, including the degradation of chlorophyll, an increase in berry deformability, a rapid increase in the level of hexoses in the berry vacuole, an increase in berry volume, the catabolism of organic acids, the development of skin colour, and the formation of compounds that influence flavour, aroma, and therefore, wine quality. The aim of this work is to identify differentially expressed genes during grape ripening by microarray and real-time PCR techniques. Using a custom array of new generation, we analysed the expression of 6000 grape genes from pre-veraison to full maturity, in Vitis vinifera cultivar Muscat of Hamburg, in two different years (2006 and 2007). Five time points per year and two biological replicates per stadium were considered. To reduced intra-plant and inter-plant biological variability, for each ripening stadium we collected around hundred berries from several bunch grapes of five plants of V. vinifera cv Muscat of Hamburg. We will use the real-time PCR technique to validate microarray data.Muscat of Hamburg. We will use the real-time PCR technique to validate microarray data.
2010-11-09 | E-MEXP-2451 | biostudies-arrayexpress
Project description:glutathione s-transferase production
| PRJNA553031 | ENA
Project description:glutathione s-transferase production
| PRJNA660039 | ENA
Project description:Background: Grape cultivars and wines are distinguishable by their color, flavor and aroma profiles. Omic analyses (transcripts, proteins and metabolites) are powerful tools for assessing biochemical differences in biological systems. Results: Berry skins of red- (Cabernet Sauvignon, Merlot, Pinot Noir) and white-skinned (Chardonnay, Semillon) wine grapes were harvested near optimum maturity from the same experimental vineyard and Ë?Brix-to-titratable acidity ratio. Identical sample aliquots were analyzed for transcripts by grapevine whole-genome oligonucleotide microarray and RNA-seq technologies, proteins by nano-liquid chromatography-mass spectroscopy, and metabolites by gas chromatography-mass spectroscopy and liquid chromatography-mass spectroscopy. Principal components analysis of each of five Omic technologies showed similar results across cultivars in all Omic datasets. Comparison of the processed data of genes mapped in RNA-seq and microarray data revealed a strong Pearson's correlation (0.80). The exclusion of probesets associated with genes with potential for cross-hybridization on the microarray improved the correlation to 0.93. The overall concordance of protein with transcript data was low with a Pearson's correlation of 0.27 and 0.24 for the RNA-seq and microarray data, respectively. Integration of metabolite with protein and transcript data produced an expected model of phenylpropanoid biosynthesis, which distinguished red from white grapes, yet provided detail of individual cultivar differences. Conclusions: The five Omic technologies were consistent in distinguishing cultivar variation. There was high concordance between transcriptomic technologies, but generally protein abundance did not correlate well with transcript abundance. The integration of multiple high-throughput Omic datasets revealed complex biochemical variation amongst five cultivars of an ancient and economically important crop species. Vitis vinifera L. cv. Cabernet Sauvignon, Chardonnay, Merlot, Pinot Noir, Semillon berries were harvested from Nevada Agricultural Experiment Station Valley Road Vineyard, Reno, NV, USA. Whole-genome microarray analysis was used to assess the transcriptomic response of berry skins at harvest, approximately 24 °Brix (2011 vintage). Vines were grown under water deficit and well-watered conditions. At least two clusters harvested from non-adjacent vines were used for each of five experimental replicates.
2015-11-12 | E-GEOD-72421 | biostudies-arrayexpress
Project description:UV radiation (UV) alters secondary metabolism in the skin of Vitis vinifera L. berries, which may affect on the final composition of both, grapes and wines. We compared berry skin transcriptome and phenolic composition between Tempranillo berries grown in the presence or absence of solar UV in a mid-altitude Tempranillo vineyard. By analysing two different ripening degrees, expression of 121 genes was significantly altered. Functional enrichment identified that, principally, secondary metabolism-related transcripts were induced by UV, including VvFLS1, VvGT5 and VvGT6 flavonol biosynthetic genes induction. Concurrently, flavonol accumulation was the most evident impact of UV on the berry skin phenolic composition. Monoterpenoid biosynthetic transcripts were also up-regulated by UV, whereas induction of stilbenoid biosynthetic transcripts and stilbenes accumulation was probably induced by the joint action of UV and other condition under the UV-blocking filter, likely higher temperature. Among regulatory genes, VvMYBF1, VvMYB24 and three bHLH transcription factors were up-regulated by UV. Homologs to Arabidopsis UVR8-dependent UV-B-induced genes were also induced, including VvHY5-1, VvHY5-2 and VvRUP UV-B signalling genes. This suggests that the UV-B-specific signalling pathway is activated in the skin of grapes grown at low-medium altitudes. The biosynthesis and accumulation of UV-absorbing compounds that are appreciated for winemaking were almost specifically triggered, which indicates that viticultural practices increasing solar UV incidence may improve grape features important to wine production. A total of 12 samples were hybridized. Grape skin RNA from berries ripening under a UV-transmitting filter (FUV+) and a UV-blocking filter (FUV-) was compared. Berry skin of two different ripening stages was analysed on each UV treatment. All samples were harvested simultaneously and a NaCl series was used to select the ripening degree in a non-invasive way. Three biological replicates were analyzed for each sample.
2014-09-09 | E-GEOD-54636 | biostudies-arrayexpress