terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 INTEGRAPE guidelines and tools: an effort of COST Action CA17111

INTEGRAPE guidelines and tools: an effort of COST Action CA17111

Abstract

INTEGRAPE was a European interdisciplinary network for “data integration to maximize the power of omics for grapevine improvement” (CA17111, https://integrape.eu/), funded by the European COST Association from September 2018 to 2022. This Action successfully developed guidelines and tools for data management and promoted the best practices in grapevine omics studies with a holistic future vision of: “Imagine having all data on grapevine accessible in a single place”. This is the actual goal of its current spin-off GRAPEDIA (The Grape Genomics Encyclopedia; IG17111, https://grapedia.org/). By adhering to the F.A.I.R. (Findable, Accessible, Interoperable, and Reusable) principles, INTEGRAPE began its activities by focusing on data and metadata descriptions (i.e., for experiments), and has provided guidelines on plant phenotyping, including a standard vocabulary for grapevine ontology anatomy and developmental stages; it has delivered recommendations on transcriptomics and metabolomics data acquisition, data analysis, and data sharing into public repositories [1] and it has offered a new reference genome assembly[2], genome browser tools and up-to-date gene functional annotation[3]. Lastly, the network has been advanced in transcriptomics and metabolomics data integration by developing a user-friendly tool[4], available on the Vitis Visualization (VitViz) platform (https://tomsbiolab.com/vitviz).

Acknowledgments: We would like to acknowledge all the researchers from several countries who altogether dedicated time, effort, and knowledge to the success of this Cost Action.

References:

1)  Savoi et al. (2021) Grapevine and wine metabolomics-based guidelines for FAIR data and metadata management. Metabolites 11, 757, DOI 10.3390/metabo11110757

2)  Velt et al. (2023). An improved reference of the grapevine genome reasserts the origin of the PN40024 highly homozygous genotype. G3 Genes|Genomes|Genetics, DOI 10.1093/g3journal/jkad067

3)  Navarro-Payá et al. (2022) The grape gene reference catalogue as a standard resource for gene selection and genetic improvement. Frontiers in Plant Science 12:803977 DOI 10.3389/fpls.2021.803977

4)  Savoi et al. (2022) Transcriptomic and metabolomic integration as a resource in grapevine to study fruit metabolite quality traits. Frontiers in Plant Science 13:937927, DOI 10.3389/fpls.2022.937927

DOI:

Publication date: October 6, 2023

Issue: ICGWS 2023

Type: Poster

Authors

Stefania Savoi1*, Panagiotis Arapitsas2, Anne-Marie Digby3, Fulvio Mattivi2, José Tomas Matus4

1 Department of Agricultural, Forest and Food Sciences, University of Turin, Italy
2 Department of Food Quality and Nutrition, Edmund Mach Foundation, Research and Innovation Centre, San Michele all’Adige, Italy
3 Department of Biotechnology, University of Verona, Italy
4 Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Paterna, Spain

Contact the author*

Keywords

data accessibility, data standardization, data sharing, community, grapevine

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Long-lasting flavour perception of wines treated with oenological additives considering the individual PROP taste-phenotype

The use of oenological additives is becoming a common practice due to the technological and sensory properties they provide to the wines. However, the number of studies focused on the impact that these additives might induce on wine flavor perception during wine tasting is still quite scarce. The aim of this work was to evaluate the effect of three different types of common oenological additives: two oenotannins (ellagitannin and gallotannin) and a commercial preparation of yeast mannoproteins on the long-lasting flavor perception (aroma and astringency).

Read More

Polysaccharide families of lyophilized extracts obtained from unfermented varietal grape pomaces

The recovery of bioactive compounds from grape and wine by-products is currently an important objective for revaluation and sustainability. Grape pomace is one of the main by-products and is a rich source of some bioactive compounds. The aim of this study was to evaluate the polysaccharide (PS) composition of extracts obtained from pomaces of different white and red grape varieties of Castilla y León. Grape pomaces were obtained after the pressing in the winemaking process.

Read More

The use of plasma activated water in barrel disinfection: impact on oak wood composition

The use of barrels is a practice that improves the quality of wines. The porous structure of wood favors the accumulation of microorganisms that can deteriorate the quality of wines so that barrel cleaning and sanitizing treatments are essential. The burning of sulphur discs has been the most common practice in winemaking because ots biocide effect. Nevertheless, its effectiveness is still insufficient and it is harmful for human health.

Read More

New tool to evaluate color modifications during oxygen consumption in white and red wines

Measuring the effect of oxygen consumption on the color of wines as the level of dissolved oxygen decreases over time is very useful to know how much oxygen a wine can consume without significantly altering its color. The changes produced in wine after being exposed to high oxygen concentrations have been studied by different authors, but in all cases the wine has been analyzed once the oxygen consumption process has been completed. This work presents the results obtained with the use of an equipment designed and made to measure simultaneously the level of dissolved oxygen and the spectrum of the wine, during the oxygen consumption process from saturation levels with air to very low levels, which indicate the total consumption of the dosed oxygen[1,2].

Read More

Applicability of spectrofluorometry and voltammetry in combination with machine learning approaches for authentication of DOCa Rioja Tempranillo wines

The main objective of the work was to develop a simple, robust and selective analytical tool that allows predicting the authenticity of Tempranillo wines from DOCa Rioja. The techniques of voltammetry and absorbance-transmission and fluorescence excitation emission matrix (A-TEEM) spectroscopy have been applied in combination with machine learning (ML) algorithms to classify red wines from DOCa Rioja according to region (Alavesa, Alta or Oriental) and category (young, crianza or reserva).

Read More