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 Â°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:MicroRNA (miRNA) is a class of functional non-coding small RNA with 19-25 nucleotides in length. Amur grape (Vitis amurensis Rupr.) is an important wild fruit crop with the strongest cold resistance in the Vitis genus and is used as an excellent breeding parent for grapevine, and with growing interest in terms of wine production. To date, there is a relatively large number of grapevine miRNAs (vv-miRNAs) from cultivated grapevine varieties such as Vitis vinifera L. and hybrids of V. vinifera and V. labrusca, but there is no report on miRNAs from Vitis amurensis Rupr, a wild grapevine species. In this study, a small RNA library from Amur grapes was constructed and Solexa technology used to perform deep sequencing of the library followed by subsequent bioinformatics analysis to identify new miRNAs. In total, 126 conserved miRNA belonging to 27 miRNA families were identified, and 34 known but non-conserved miRNAs were also found. Significantly, 72 new potential Amur grapevine-specific miRNAs were discovered. The sequences of these new potential va-miRNAs were further validated through miR-RACE, accumulation of 18 new va-miRNAs in seven tissues of grapevines were also confirmed by real time RT-PCR (qRT-PCR) analysis, and expression levels of va-miRNAs in flowers and berries were basically consistent in identity to those from deep sequenced sRNAs libraries of independent corresponding tissues. We also describe the conservation and variation of va-miRNAs using miR-SNPs and miR-LDs during plant evolution based on comparison of orthologous sequences, and revealed the number and sites of miR-SNP of diverse miRNA families exhibited distinct divergence. Finally, 346 target genes for the new miRNAs were predicted and they include a number of Amur grapevine stress tolerance genes and many genes regulating anthocyanin systhesis and sugar metabolism. Deep sequencing of short RNAs from Amur grapes flowers and fruits identified 72 new potential miRNAs and 34 known but non-conserved miRNAs, indicating that specific miRNAs exist in Amur grapes. These results show that a number of regulatory miRNAs exist in Amur grapes and play an important role in Amur grape growth, development, and response to abiotic or biotic stress. High throughput sequencing was employed to identify miRNAs in Amur grapevine and try to describe their functions in Amur grapevine growth and development.

Project description:MicroRNA (miRNA) is a class of functional non-coding small RNA with 19-25 nucleotides in length. Amur grape (Vitis amurensis Rupr.) is an important wild fruit crop with the strongest cold resistance in the Vitis genus and is used as an excellent breeding parent for grapevine, and with growing interest in terms of wine production. To date, there is a relatively large number of grapevine miRNAs (vv-miRNAs) from cultivated grapevine varieties such as Vitis vinifera L. and hybrids of V. vinifera and V. labrusca, but there is no report on miRNAs from Vitis amurensis Rupr, a wild grapevine species. In this study, a small RNA library from Amur grapes was constructed and Solexa technology used to perform deep sequencing of the library followed by subsequent bioinformatics analysis to identify new miRNAs. In total, 126 conserved miRNA belonging to 27 miRNA families were identified, and 34 known but non-conserved miRNAs were also found. Significantly, 72 new potential Amur grapevine-specific miRNAs were discovered. The sequences of these new potential va-miRNAs were further validated through miR-RACE, accumulation of 18 new va-miRNAs in seven tissues of grapevines were also confirmed by real time RT-PCR (qRT-PCR) analysis, and expression levels of va-miRNAs in flowers and berries were basically consistent in identity to those from deep sequenced sRNAs libraries of independent corresponding tissues. We also describe the conservation and variation of va-miRNAs using miR-SNPs and miR-LDs during plant evolution based on comparison of orthologous sequences, and revealed the number and sites of miR-SNP of diverse miRNA families exhibited distinct divergence. Finally, 346 target genes for the new miRNAs were predicted and they include a number of Amur grapevine stress tolerance genes and many genes regulating anthocyanin systhesis and sugar metabolism. Deep sequencing of short RNAs from Amur grapes flowers and fruits identified 72 new potential miRNAs and 34 known but non-conserved miRNAs, indicating that specific miRNAs exist in Amur grapes. These results show that a number of regulatory miRNAs exist in Amur grapes and play an important role in Amur grape growth, development, and response to abiotic or biotic stress.

			Action	DRS
	MTBLS784	Other
	FILES	Other
	a_MTBLS784_LC-MS_negative_reverse-phase_metabolite_profiling.txt	Txt
	a_MTBLS784_LC-MS_positive_reverse-phase_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt

Dataset Information

LC-MS untargeted approach showed that methyl jasmonate application on Vitis labrusca L. grapes increases phenolics at subtropical Brazilian regions

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