Project description:Grape volatiles include a great number of compounds, among which monoterpenes, alcohols,esters and carbonyls were found.Grape may be divided into aromatic and non-aromatic varieties. ‘Shine Muscat’ belongs to the aromatic cultivar. The most abundant free compounds detected in Muscat grape were linalool, geraniol, citronellol, nerol. Grapevine (Vitis vinifera L.) is an economically important and widely cultivated fruit crop. Grape quality is important for its market value and is largely decided by its taste and aroma.Gas-chromatograph mass-spectrometry (GC-MS) was performed to observe changes of the volatile compounds.
Project description:We used Illumina RNA-Seq technology to carry out digital gene expression profiling of Dormant and non dormant buds of Shine Muscat Cultivar.127 pathways were annotated by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and metabolic, biosynthesis of secondry metabolite and. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis demonstrated that DEGs were involved in various metabolic processes, including phytohormone metabolism. The newly generated transcriptome and gene expression profiling data provide valuable genetic information for revealing transcriptomic variation during dormant and non dormant period in Grapevine and ultimately helpful in uplifting of table grape industry.
Project description:Flavor and aroma play a major role in the perceived quality of grapes and wines. Among the most important compounds determining the oenological quality are monoterpenes. They confer typical floral notes to ‘Muscat’ varieties and, to a lesser extent, to other aromatic varieties. In recent years an increasing number of studies on the biosynthesis of terpenes in grape led to the identification and functional characterization of some enzymes and genes in this pathway. However, the underlying genetic map is still far from being complete. For example, the specific steps of monoterpene metabolism and its regulation are not known. With the aim of identifying new candidates for the missing links, we applied an integrative functional genomics approach based on the targeted metabolic and genome-wide transcript profiling of Moscato Bianco ripening berries. In particular, gas chromatography-mass spectrometry analysis of free and bound terpenoid compounds was combined with microarray analysis (14,562 probes) in the skins of berries collected at five developmental stages from pre-véraison to over-ripening. Differentially expressed metabolites and probesets were identified in the pairwise comparison between time points by using the early stage as a reference. Metabolic and transcriptomic data were integrated through pairwise correlation and clustering approaches to discover genes linked with particular metabolites or groups of metabolites. Finally, the candidate transcripts were checked for co-localization with QTLs controlling the level of aromatic compounds. The results provided novel insights into the biological networks of grapevine secondary metabolism, both at the regulatory and catalytic levels, and yielded a collection of previously undescribed genes related to the accumulation of target metabolites.
