terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Genetic study of wild grapevines in La Rioja region

Genetic study of wild grapevines in La Rioja region

Abstract

Since the mid-1980s, several surveys have been carried out in La Rioja to search for populations of the sylvestrisgrapevine subspecies (Vitis vinifera L. subsp. sylvestris Gmelin). The banks of the Ebro River and its tributaries (Alhama, Cidacos, Leza, Iregua, Najerilla, Oja and Tirón rivers), as well as the surrounding vegetation of their valleys have been covered. So far, all the populations found are alluvial, forming part of the riparian vegetation of the Najerilla (the first reported population in La Rioja [1]), Iregua, and the vicinity of Oja valleys. Nevertheless, doubts arose from the beginning about the ‘sylvestris purity’ of some of these wild vines. In this work, leaves and/or cuttings from 83 vines have been used for genetic analyses: 63 vines were sampled in the wild in La Rioja region (17 from Najerilla banks, 43 from Iregua banks, and 3 from Agualinos stream, tributary of the Oja river), and 20 vines were sampled in the grapevine sylvestris collection of the University of La Rioja, originally collected as wild vines from the Najerilla valley. DNAs were extracted and genotyped at 6 microsatellite and 240 SNP markers. A total of 58 different genotypes were found, 20 in the Najerilla population, 36 in the Iregua population and 2 in the Oja population. These genotypes were included in a large genetic structure analysis of more than 2.800 genotypes representing worldwide sylvestrisand sativa subspecies. More than 84% of the wild samples from La Rioja showed a high membership coefficient to the sylvestris population, supporting their sylvestris condition. A local analysis focused on genotypes of cultivated and wild vines found in La Rioja separated them into two main clusters, with a clear division between sylvestris and cultivated vines. Some wild vine genotypes were found in intermediate positions between these two groups, indicating the existence of an introgression of the sativa gene pool into the sylvestris population, constituting an additional threat to the sylvestris subspecies.

Acknowledgements: This work is part of the project “Diversidad genética en la vid y adaptación al cambio climático” (PID2020-120183RB-I00), funded by MCIN / AEI /10.13039/501100011033.

1)  De Toda F. M. and J. C. Sancha (1999) Characterization of Wild Vines in La Rioja (Spain). Am. J. Enol. Vitic. 50: 443-446, doi: 10.5344/ajev.1999.50.4.443.

DOI:

Publication date: October 9, 2023

Issue: ICGWS 2023

Type: Poster

Authors

Javier Ibáñez1*, Javier Tello1, Fernando Martínez de Toda1, José Manuel Valle2, Álvaro Rodríguez-Miranda2, Carlos Alvar Ocete3, José Miguel Martínez-Zapater1, Rafael Ocete3

1 Instituto de Ciencias de la Vid y del Vino (CSIC, UR, CAR). Finca La Grajera, Ctra. de Burgos Km. 6, 26007 Logroño, La Rioja. Spain
2 Built Heritage Research Group (GPAC), University of the Basque Country (UPV/EHU), Vitoria- Gasteiz. Spain
3 Freelance, Tirgo, La Rioja. Spain

Contact the author*

Keywords

introgression, genetic structure, microsatellite, SNP, sylvestris, Vitis vinifera, wild

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

The use of δ13C as an indicator of water use efficiency for the selection of drought tolerant grapevine varieties

In the context of climate change with increasing evaporative demand, understanding the water use behavior of different grapevine cultivars is of critical importance. Carbon isotope discrimination (δ13C) measurements in wine provide a precise and integrated assessment of the water status of the vines during the sugar accumulation period in grape berries. When collected over multiple vintages on different cultivars, δ13C measurements can also provide insights into the effects of genotype on water use efficiency.

Use of UHPH to improve the implantation of non-Saccharomyces yeasts

Ultra High-Pressure Homogenization (UHPH) is a high-pressure pumping at 300 MPa (>200 MPa) with a subsequent depressurization against a highly resistant valve made of tungsten carbide covered by ceramic materials or carbon nanoparticles. The intense impact and shear efforts produce the nano-fragmentation of colloidal biopolymers including the elimination of microorganism (pasteurization or sterilization depending on in-valve temperature) and the inactivation of enzymes.

Grapevine adaptation to drought and resistance to Neofusicoccum parvum, causal agent of Botryosphaeria dieback

The sustainability of viticulture in response to climate change has been addressed mainly considering agronomic impacts, such as water management and diseases, either separately or together.
In grapevines, there is strong evidence that different genotypes respond differently to biotic and abiotic stresses. A screening was conducted on various local cultivars in response to drought and Neofusicoum parvum infection aiming to evaluate their susceptibility to abiotic stress and resistance to fungal diseases.

Aroma characterization of mold resistant base wines for sparkling wine produced in a warm-temperate area at two different altitudes

In a recent context where consumers pay an increasing attention to sustainability and eco-friendly aspects in the decision-making process, the use of the resistant varieties in the wine sector have returned to the attention. In this context, the use of mould-resistant grape varieties would be an opportunity for sparkling wine producers as it can reduced the pesticide utilization in grape management and hence production costs.
However, the use of the resistant varieties to produce the base wine may be strongly influenced due to its requirements for a particular balance between sugars and acidity to ensure the quality of the final product. In addition, the aromatic profile of base wine plays a crucial role in the perception of the quality of the sparkling wine.

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).