terclim by ICS banner
IVES 9 IVES Conference Series 9 A comprehensive and accurate annotation for the grapevine T2T genome 

A comprehensive and accurate annotation for the grapevine T2T genome 

Abstract

Addressing the opportunities and challenges of genomics methods in grapevine (Vitis vinifera L.) requires the development of a comprehensive and accurate reference genome and annotation. We aimed to create a new gene annotation for the PN40024 grapevine reference genome by integrating the highly accurate and complete T2T assembly and the manually curated PN40024.v4 annotation. Here, we present a novel workflow to enhance the annotation of the T2T genome by incorporating past community input found in PN40024.v4. The pipeline’s containerization will improve the workflow’s reproducibility and flexibility, facilitating its inclusion as a shared workflow on the Grapedia portal, the grapevine genomics encyclopedia. The pipeline includes both structural and functional annotation of genes, including lncRNAs and miRNAs. Moreover, we provide conversions between different annotation versions, allowing the comparison and integration of various grapevine datasets. To ensure transparency and traceability, we have modified the structure of the gene IDs, retaining the Vitvi prefix but also referencing the genome version and annotation. This will allow us to handle any gene model issues between different annotation versions and to easily distinguish the version from the annotation in publications. The annotation workflow will soon be available on the Grapedia portal (https://grapedia.org/), where it can potentially be applied to other cultivars. This annotation version will also serve as the basis for the new grape gene reference catalogue, which will provide a comprehensive and updated resource for grapevine genomics.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Antonio Santiago1,2, David Navarro-Payá1, Pascual Villalba-Bermell1, Gustavo G. Gomez1, Iñigo De Martín Agirre1, Amandine Velt3, Marco Moretto4, Hua Xiao 5*, Yongfeng Zhou 5*, Camille Rustenholz3*, José Tomás Matus1*

1 Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Paterna, 46980, Valencia, Spain
2 Universitat Politècnica de València (UPV), 46022 Valencia, Spain
3 SVQV, INRAE-University of Strasbourg, Colmar 68000, France
4 Fondazione Edmund Mach Via E. Mach 1, Research and Innovation Centre, Via E. Mach 1, 38010 San Michele all’Adige, Italy
5 Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China

Contact the author*

Keywords

Bioinformatics, genome annotation, grapevine, Grapedia, PN40024

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Text mining of wine reviews to investigate quality markers of ‘Nebbiolo’ wines from Valtellina

In Valtellina zone (north Italy), the winemaking of ‘Nebbiolo’ grapes leads to the production of two main wine types: classic red wines from fresh grapes, usually classified as Valtellina Superiore DOCG (mandatory oak aging) or Rosso di Valtellina DOC, and the Sforzato di Valtellina DOCG, which is produced using withered grapes according to traditional product specification and subjected to mandatory oak aging process. The withering process influences grape chemical composition and, in turn, the wine sensory profile, which is strongly linked to the wine quality and typicity perceived by consumers.

Limiting Brettanomyces bruxellensis by early inoculations of Metschnikowia pulcherrima and Oenococcus oeni

Metschnikowia pulcherrima (Mp) species has been proposed for several years to wine makers as a bioprotective agent against spoilage organisms (Berbegal et al. 2017).

Soil management of interrow spacing as an important factor to protect the vineyard soils from runoff and erosion under the Mediterranean climate

Nearly one third of the Herault vineyard (south of France) is planted on soils very sensitive to water runoff and erosion

Aroma and quality assessment for vertical vintages using machine learning modelling based on weather and management information

Wine quality traits are usually given by parameters such as aroma profile, total acidity, alcohol content, colour and phenolic content, among others

A curation framework for a genome-anchored grapevine QTL browser: insights from phenology

Over the past few decades, Quantitative Trait Loci (QTL) mapping has been widely applied in grapevine to investigate the genetic architecture of complex traits.