terclim by ICS banner
IVES 9 IVES Conference Series 9 The grapevine QTLome is ripe: QTL survey, databasing, and first applications

The grapevine QTLome is ripe: QTL survey, databasing, and first applications

Abstract

Overarching surveys of QTL (Quantitative Trait Loci) studies in both model plants and staple crops have facilitated the access to information and boosted the impact of existing data on plant improvement activities. Today, the grapevine community is ready to take up the challenge of making the wealth of QTL information F.A.I.R.. To ensure that all valuable published data can be used more effectively, the myriad of identified QTLs have to be captured, standardised and stored in a dedicated public database.
As an outcome of the GRAPEDIA initiative, QTL-dedicated experts from around the world have gathered to compile the grapevine QTLome: the complete information (e.g., map positions, associated phenotypes) describing all experimentally supported QTLs for a specific trait. This has led to the collection of more than 150 published QTL papers and to the FAIRification of the fields relevant to the grapevine QTL database. A grapevine-QTL frontend application for uploading data has been developed to support QTL curators.
For each specific trait, the QTLome will be anchored firstly to the grapevine reference PN40024.T2T(v5) genome/annotation and secondly to the published diverse genome assemblies. The generated “Grapevine QTL browser” will (i) enhance the understanding of the genetic architecture of diverse phenotypes, (ii) reveal consistent QTLs across studies (consensus genomic intervals), which are particularly valuable for marker-assisted breeding, (iii) assist the identification of candidate genes (relevant alleles) and their integration into biological/biotechnological applications. The potential of this resource will be demonstrated by a case study.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Article

Authors

Silvia Vezzulli1*§, Marco Moretto, Paola Bettinelli1, Javier Tello2, Pablo Carbonell-Bejerano2, Agnès Doligez3, Elsa Chedid4, Marina de Miguel4, Elisa Marguerit4, Éric Duchêne5, Ludger Hausmann6, Franco Röckel6, Daniela Holtgräwe7, Noam Reshef8, Varoostha Govender9, Justin Lashbrooke9, Claudia Muñoz-Espinoza10, Marco Meneses11, Patricio Hinrichsen11, Summaira Riaz12, Chin Feng Hwang13, Lance Cadle-Davidson14, Diana Bellin15, Alessandra Amato15, Marianna Fasoli15, José Tomás Matus16, Lakshay Anand17, Camille Rustenholz5, Laura Costantini1

1 Fondazione Edmund Mach, Research and Innovation Centre, San Michele all’Adige, Trento, Italy
2 Instituto de Ciencias de la Vid y del Vino, CSIC, Universidad de la Rioja, Gobierno de La Rioja, Logroño, Spain
3 AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
4 EGFV, Université de Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, Villenave d’Ornon, France
5 SVQV, INRAE-University of Strasbourg, Colmar, France
6 Julius Kühn Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany
7 Genetics and Genomics of Plants, CeBiTec & Faculty of Biology, Bielefeld University, Bielefeld, Germany
8 Institute of Plant Sciences, Agricultural Research Organization, Volcani Center, Rishon LeZion, Israel
9 Department of Genetics, Stellenbosch University, Matieland, South Africa
10 Department of Plant Production, Faculty of Agronomy, Universidad de Concepción, Chillán, Chile
11 Instituto de Investigaciones Agropecuarias, INIA La Platina, Santiago, Chile
12 Crop Diseases, Pests and Genetics Research Unit, USDA-ARS San Joaquin Valley Agricultural Sciences Center, Parlier, California, USA
13 State Fruit Experiment Station at Mountain Grove Campus, Missouri State University, Springfield, Missouri, USA
14 USDA-ARS Grape Genetics Research Unit, Geneva, New York, USA
15 Department of Biotechnology, University of Verona, Verona, Italy
16 Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Paterna, Valencia, Spain
17 Environmental Epigenetics and Genetics Group, Department of Horticulture, University of Kentucky, Lexington, Kentucky, USA

§ equally contributed

Contact the author*

Keywords

QTL browser, database, manual curation, Vitis ontology, FAIR

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

The use of elicitors in viticulture: a tool to obtain highly colored wines with a reduce alcohol content?

Climate change is causing a gap between the technological and phenolic maturity of grapes, resulting in wines with high alcohol content and low polyphenol concentration. Another phenomenon associated with high temperatures and whose effect is more pronounced if the harvest is delayed is the decrease in the acidity of the grapes, mainly in malic acid, and an increase in pH caused by the accumulation of potassium derived from the increase in temperature. Therefore, climate change and the effects it causes on the vine leads to unbalanced wines, with high alcohol content and lack of color, with green tannins, astringency and excessively low acidity if not corrected.

Diurnal cycles of grapevine leaf water potential under field conditions

Les cycles journaliers du potentiel hydrique foliaire (Ψl) ont été établis toutes les heures, pour différents stades phénologiques, sur deux localités et en fonction de différentes mesures de la température de l’air et du déficit en pression de vapeur (VPD). De faibles valeurs pour ces 2 paramètres ont été enregistrées tout au long de la saison à

The importance of soil and geology in tasting terroir; a case history from the Willamette valley, Oregon

Wines differ from each other based on seven different factors: the type of grape; the bedrock geology and resulting soils; the climate; the soil hydrology; physiography of the site; the winemaker and the vineyard management techniques. The first five of these factors make up what the French call terroir, “the taste of the place”.

Exploring high throughput secondary trait phenomics to improve grapevine breeding

Modern grapevine breeding programs have overcome many challenges using genomic selection, which has allowed breeders to make targeted selections at earlier stages in the breeding process. However, the cost of genetic testing may present a burden for some programs, and markers often struggle to accurately predict quantitative traits. Recent advances in high throughput, high-dimensional data have provoked investigation into the use of high-dimensional phenomics as a low-cost addition to the grape breeder’s toolkit that may offer advantages in predicting quantitative traits. High-dimensional secondary trait (HDST) data has been employed in annual crops for prediction of agriculturally important traits such as yield.

Impact des systèmes de conduite, de la gestion des sols et de la capacité de rétention d’eau des sols sur l’état hydrique de la vigne à Cognac

Dans le cadre de TerclimPro 2025, Sébastien Zito a présenté un article IVES Technical Reviews. Retrouvez la présentation ci-dessous ainsi que l’article associé : https://ives-technicalreviews.eu/article/view/9161