Data from: Seasonal changes in the physiology and metabolism of grapevine latent buds
Data files
Jan 14, 2026 version files 9.70 KB
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Metabolites_Cab_S.csv
7.02 KB
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README.md
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Abstract
This dataset contains quantitative metabolite profiles measured in latent buds of Vitis vinifera L. cv. Cabernet Sauvignon across the annual dormancy cycle. The dataset is provided as a comma-separated values (CSV) file and includes 35 biological observations distributed across calendar months, with each row corresponding to an individual biological replicate. A total of 41 metabolites are reported, covering central carbon metabolism, including sugars, sugar phosphates, organic acids, and sugar alcohols. Metabolites quantified include trehalose-6-phosphate, sucrose-6-phosphate, hexose phosphates, glycolytic and tricarboxylic acid (TCA) cycle intermediates, soluble sugars (e.g., sucrose, glucose, fructose), raffinose family oligosaccharides, and polyols. Concentration values are reported as absolute metabolite abundances as determined by targeted metabolite profiling, following the analytical protocols described in the associated research article on seasonal regulation of dormancy in grapevine buds. The dataset is intended to support reuse in studies of plant dormancy, seasonal metabolism, carbohydrate dynamics, and comparative analyses across perennial species or cultivars. It can also be integrated with transcriptomic, physiological, or environmental datasets for systems-level analyses of bud dormancy regulation. The data are observational, involve no human or animal subjects, and raise no ethical or legal concerns. All data are released for open reuse under the terms specified by the repository.
Dataset DOI: 10.5061/dryad.ghx3ffc2w
Description of the data and file structure
The data set presents the results of the different metabolites determined in our study. These were obtained from grapevine buds, sampled across one season from January (summer in south hemisphere) to September (spring), from a commercial vineyard located in the region of Margaret River, Western Australia, Australia.
The data set is composed of five independent replicates for each month evaluated. The months are January, February, April, May, June, August, and September. The exact dates will be presented in the published study in the Journal of Experimental Botany.
The concentrations are in nmols per gram of dry weight, except for glucose, sucrose, and fructose, which are umols per gram of dry weight.
Files and variables
File: Metabolites_Cab_S.csv
Description:
Variables
- Month: Month of sampling
- Tre6P: Content of Trehalose 6-phosphate
- Suc6P: Content of Sucrose 6-phosphate
- ADPGlc: Content of ADP-Glucose
- Gal1P: Content of Galactose 1-phosphate
- UDPGal: Content of UDP-Galactose
- G1,6BP: Content of Glucose 1,6-Biphosphate
- Glc1P: Content of Glucose 1-Phosphate
- Gly3P: Content of Glyceraldehyde 3-Phosphate
- UDPGlc: Content of UDP-Glucose
- PEP: Content of Phosphoenolpyruvate
- Aconitate: Content of Aconitate
- Trans-aconitate: Content of trans-aconitate
- Fru6P: Content of Fructose 6-Phosphate
- Man6P: Content of Manose 6-Phosphate
- FBP: Content of fructose biphosphate
- Shikimate: Content of shikimate
- Iso-Citrate: Content of iso-citrate
- Glc6P: Content of glucose 6-Phosphate
- 2-OG: Content of 2-oxoglutarate
- Pyruvate: Content of Pyruvate
- Succinate: Content of succinate
- 3-PGA: Content of 3-phosphoglycerate
- Glycerate: Content of glycerate
- Citrate: Content of citrate
- Malate: Content of malate
- Fumarate: Content of fumarate
- Tartrate: Content of tartrate
- Trehalose: Content of trehalose
- Sucrose: Content of sucrose
- Glucose: Content of glucose
- Fructose: Content of fructose
- Galactose: Content of galactose
- Maltose: Content of maltose
- Melibiose: Content of melibiose
- Sorbitol: Content of sorbitol
- Mannitol: Content of mannitol
- Raffinose: Content of raffinose
- Myo-inotisol: Content of myo-inositol
- 1-kestose: Content of 1-ketose
- Stachyose: Content of stashyose
- Galactinol: Content of galactinol
Code/software
Any spreadsheet program is ok to open the data. Also it can be opened using the open software R.
