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…

Natural sparkling wine pétillant naturel: technological features and sensory profile

The article presents the results of a study on the technological features of producing sparkling wines of the Pétillant Naturel (Pet-Nat) type, made using the ancestral method from the Muscat Ottonel and Pinot Noir grape varieties.

Cover crop influence on water relations, yield, grape and wine composition of Pinot noir

The effect of cover crop on the water relations, yield and grape composition of Pinot noir vines was investigated during two seasons (2003 and 2004) in a gravely soil located in Tarragona (Spain). Seventeen-year-old vines, grafted onto R110 and trained onto a Ballerina training system, were used.

Evaluation of state of vineyards and characterization of vineyard sites of the integrated area of Tokaj Kereskedőház ltd. in Tokaj region

The Tokaj Kereskedőház Ltd. is the only state owned winery in Hungary. The company is integrating grapes for wine production from 1100 hectares of vineyard, which consist of 3500 parcels with average size of 0,3 hectares, owned by about 500 families of the region. The vineyards are unevenly spread in total 27 village of Tokaj region.

Optimization Of Glutathione Extraction From White Wine Lees By Doelhert Matrix

Glutathione (L-g-glutamyl-L-cysteinyl-glycine) is a tripeptide which contains three constitutive amino acids: glutamate, cysteine and glycine. It is present in plants and foods, and fruits like grapes.

Implementation of a deep learning-based approach for detecting and localising automatically grapevine leaves with downy mildew symptoms

Grapevine downy mildew is a disease of foliage caused by Oomycete Plasmopara viticola an endoparasite that develops inside grapevine organs and can infect virtually every green organ. Downy mildew is one of the most destructive diseases in wine-growing regions, drastically reducing yield and fruit quality. Traditional manual disease detection relies on farm experts. Human field scouting has been widely used for monitoring the disease progress, however, is costly, laborious, subjective, and often imprecise.