terclim by ICS banner
IVES 9 IVES Conference Series 9 Mgaloblishvili Rpv29 and Rpv31 loci reveal new insights on downy mildew resistance sources in Vitis vinifera

Mgaloblishvili Rpv29 and Rpv31 loci reveal new insights on downy mildew resistance sources in Vitis vinifera

Abstract

Downy mildew, a disease caused by Plasmopara viticola (Berk. et Curt.) Berl. and De Toni, is one of the strongest threats to grapevine (Vitis vinifera L.) production. Recently, sources of resistance to downy mildew were identified among Caucasian germplasm. Among them, the Georgian variety Mgaloblishvili revealed a unique resistance mechanism. A genome wide association study (GWAS) allowed the identification of the genetic bases of Mgaloblishvili resistance, the loci Rpv29, Rpv30 and Rpv31. To dissect the three resistance loci, Mgaloblishvili genome was sequenced using PacBio HiFi reads and assembled. A chromosome-scale diploid genome assembly consisting of ~ 986 Mb and a contig N50 length of 25.8 Mb was obtained. A total of 58,912 protein-coding genes were predicted on the two sets of phased chromosomes. A whole genome comparison with the genome of the susceptible reference accession PN40024 was performed. Mgaloblishvili resistance loci were in-depth analyzed in terms of structure, gene content, gene expression and impact of structural variants (SVs) and SNPs (Single Nucleotide Polymorphisms). Furthermore, using DNA sequencing data of Mgaloblishvili self-cross progeny, resistance haplotypes were identified for Rpv30 and Rpv31. The obtained data highlighted Mgaloblishvili resistant phenotype as a consequence of multiple small SVs and SNPs, that eventually results into differential transcriptional regulation. Altogether, these genetic resources will increase the knowledge about downy mildew-grapevine pathosystem. Moreover, they will be available for breeding programs aiming to develop grapevine resistant varieties.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Article

Authors

Valentina Ricciardi 1, Andrea Minio 2, Melanie Massonnet 2, Alexander H.J. Wittenberg3, David Maghradze 4,5,6, Silvia Laura Toffolatti 1, Osvaldo Failla 1, Dario Cantù 2*, Gabriella De Lorenzis

1 Department of Agricultural and Environmental Sciences, University of Milan
2 Department of Viticulture and Enology, University of California, Davis (CA), USA
3 KeyGene, Wageningen, The Netherlands
4 Caucasus International University, Tbilisi, Georgia
5 Georgian Technical University, Tbilisi, Georgia
6National Wine Agency of Georgia, Tbilisi, Georgia

Contact the author*

Keywords

Grapevine, biotic stress, QTL, genome, Caucasus

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Exploiting the diversity in spent yeast for its valorisation towards producing yeast-derived processing aids

In view of sustainability and zero-waste initiatives, the valorisation of sidestreams is a key emerging topic in the wine industry.

Fractal analysis as a tool for delimiting guarantee of quality areas

The pioneering work of Mandelbrot in the 70’s for building the fractal theory lead rapidly to many interesting applications in different fields such as earth sciences and economy.

Influence of soil characteristics on vine growth, plant nutrient levels and juice properties: a multi-year analysis

Soil physical and chemical properties affect vine nutrition, as indicated by leaf and petiole nutrient content, in a way that may directly impact wine properties.

Determination of titratable acidity, sugar and organic acid content in red and white wine grape cultivars during ripening by VIS–NIR hy¬perspectral imaging

Grape harvest time is one of the most fundamental aspects that affect grape quality and thus wine quality. Many factors influence the decision of harvest; among them technological and phenolic maturity of grape. Technological ripeness is mainly related to sugar concentration, titratable acidity and pH. Conventional methods for chemical analysis of grapes are normally sample-destructive, time-consuming, include laborious sample preparation steps, and generate chemical waste, thereby limiting their utility in online/in-line quality monitoring. Moreover, destructive analyses can be performed only on a limited number of fruit pieces and, thus, their statistical relevance could be limited. This study evaluated the ability of a lab-scale hyperspectral imaging (HYP-IM) technique to predict titratable acidity, organic acid and sugar content of grapes. Samples of Cabernet franc and Chenin blanc grapes were consecutively collected six times at weekly intervals after veraison. The images were recorded thanks to the hyperspectral imaging camera Pica L (Resonon) in a spectral range from 400 to 1000 nm. Statistics were performed using Microsoft Xlstat software. Successively, the berries were analyzed for their sugar (glucose and fructose) and organic acid (malic and tartaric acid) content and titratable acidity according to usual methods.

Bio-metaethics viticulture proposed by the GiESCO

Concerning sustainable Viticultures, the GiESCO notices the current confusion around the notions of:
– ‘integrated’ Viticulture which does not clearly set itself apart of classical so-called ‘reasoned’ Viticulture and involves series of certifications which are distinguishable with difficulty,
– ‘agro-ecological’ Viticulture which adds important elements of sustainability to ‘integrated’ Viticulture, without clarifying really the latter,
– ‘organic’ Viticulture which leans on some unbearable principles such as the opposition between chemical or natural products, with besides a frequent recourse to copper-products,
– ‘biodynamic Viticulture’ which recommends environment-friendly methods, but for very not scientifically verified.