Project description:Three grapevines cultivars (Merlot, Cabernet-Sauvignon and Ugni Blanc) were infected by E. lata. The expression profiles of the wood part near the infection point were determined for both infected and non infected plant for each cultivars with Nimblegen microarrays vitis. Three plants were used for biological replicates. Comparisons between infected and non infected conditions allow, for each cultivars, the identifcation of genes which the expression is modified by E. lata.
Project description:Berry skin total protein from Cabernet Sauvignon, Merlot, Pinot Noir, Chardonnay and Semillon. Treatments were control (well-watered) versus restricted irrigation (water-deficit). Samples were taken from harvest-ripe whole berry clusters following a seasonal water deficit in treatment vines. A comparative analysis between the cultivars and treatments was performed. Associated dataset identifiers: GSE72421, PRJNA268857.
Project description:Transcriptional changes occurring at the graft interface of auto- (Cabernet Sauvignon/ Cabernet Sauvignon) and hetero-grafted (Cabernet Sauvignon/ Riparia Gloire de Montpellier and Cabernet Sauvignon /1103 Paulsen) grapevine. Gene expression profiling was done using the Nimblegen whole genome array with 3 biological replicates of 15 pooled graft interfaces harvested 3, 7, 14 and 28 d after grafting.
Project description:Methods:transcriptomes of the different development stages of Vitis vinifera cv. Cabernet Sauvignon and Vitis quinquangularis accession Danfeng-2 were analyzed using Illumina Hiseq 2500. The sequence reads that passed quality filters were analyzed: TopHat followed by Cufflinks. mRNA profiles of different development stages of Vitis vinifera cv. Cabernet Sauvignon and Vitis quinquangularis accession Danfeng-2 were generated by deep sequencing, in triplicate, using Illumina Hiseq 2500.
Project description:Methods:transcriptomes of the different development stages of Vitis vinifera cv. Cabernet Sauvignon and Vitis quinquangularis accession Danfeng-2 were analyzed using Illumina Hiseq 2500. The sequence reads that passed quality filters were analyzed: TopHat followed by Cufflinks.
Project description:Cabernet Sauvignon in vitro plantlets were experimentally infected with the E. lata strain NE85-1 and compared to healthy controls.
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.
Project description:The goal of this project aims to decipher the molecular effects of high temperature on developing Cabernet Sauvignon berries. Using grapevine fruiting cuttings, control and heat-treated berries were sampled to conduct transcriptomic, proteomic and metabolomic analysis.
Project description:The analysis of the genes differentially expressed in the rootstock and the callus 3 and 28 d after grafting in grapevine (Vitis vinifera cv Cabernet Sauvignon) auto-grafts.
