terclim by ICS banner
IVES 9 IVES Conference Series 9 Tracking the origin of Tempranillo Tinto through whole genome resequencing and high-throughput genotyping  

Tracking the origin of Tempranillo Tinto through whole genome resequencing and high-throughput genotyping  

Abstract

Grapevine cultivars are vegetatively propagated to maintain their varietal characteristics. This process of multiplication leads to spontaneous somatic mutations that can eventually generate a variant phenotype, of potential interest for cultivar improvement and innovation. However, regardless their phenotypic effect, somatic mutations stack in the genome, and they can be used to reveal the origin and dissemination history of ancient cultivars. Here, a stringent somatic variant calling over whole genome resequencing data from 35 ‘Tempranillo Tinto’ clones or old vines from seven Iberian winemaking regions revealed 135 single nucleotide variations (SNVs) shared by some of the clonal lines. Among them, we selected 56 highly informative SNVs to custom-design a high-throughput genotyping chip for this cultivar, which was validated and further tested in 94 ‘Tempranillo Tinto’ vines from highly diverse regions. Phylogenetic analyses revealed that ‘Tempranillo Tinto’ samples grouped in three major clonal lineages, a clustering that reflected the geographic origin of the samples. After combining these results with genome re-sequencing data from the two ‘Tempranillo Tinto’ parents, we found the Ebro River Valley as the most likely region of origin for ‘Tempranillo Tinto’. Results also revealed one major historical dissemination route that likely progressed westwards from this original site, towards the main winemaking regions found across the Duero River Valley and to the South in Portugal. Collectively, the results obtained in this study shed light on the origin and historical dispersal of ‘Tempranillo Tinto’ in the Iberian Peninsula, and released highly informative SNVs for the differentiation of intra-cultivar lineages.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Javier Tello1*, Pablo Carbonell-Bejerano1, Rafael Torres-Pérez2, Yolanda Ferradás1,3, Carolina Royo1, Juan Carlos Oliveros2, Javier Ibáñez1, José Miguel Martínez-Zapater1

1 Instituto de Ciencias de la Vid y del Vino, Finca La Grajera, Ctra. de Burgos Km. 6, 26007 Logroño.
2 Centro Nacional de Biotecnología, C/Darwin 3, 28049 Madrid.
3 Current address: Facultad de Biología, Universidad de Santiago de Compostela, 15872 Santiago de Compostela

Contact the author*

Keywords

clonal lineage, grapevine, Iberian Peninsula, phylogenomics, SNV

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Within-vineyard variability in grape composition at the estate scale can be assessed through machine-learning modeling of plant water status in space and time. A case study from the hills of Adelaida District AVA, Paso Robles, CA, USA

Aim: Through machine-learning modelling of plant water status from environmental characteristics, this work aims to develop a model able to predict grape phenolic composition in space and time to guide selective harvest decisions at the estate scale.

High throughput winter pruning weight estimation based on wood volume evaluation 

There is currently a real need to improve and speed-up phenotyping in experimental set-ups to increase the number of modalities studied. Accurate information acquisition on plant status with high-throughput capacity is the main appeal of on-board systems.
A proximal sensing camera for a proxy of winter pruning weight was tested. We estimated the shoot volume of the vine by image analysis using algorithms that integrate the local shoot section area estimate along the shoot skeleton obtained by a morphological distance transform.
The study was carried out on the GreffAdapt experimental vineyard in Guyot simple training and a canopy management using vertical trellising. The planting density is 6250 vines/ha with a row spacing of 1.6×1m. Five scions grafted onto 55 rootstocks are present and the combination rootstock×scion is different every five plants.

Unravelling Saccharomyces cerevisiae biosynthethic pathways of melatonin, serotonin and hydroxytyrosol  by UPLC-HRMS Isotopic labelling analysis

The main objective is to unravel the yeast biosynthetic pathways for MEL, SER and HT by using the respective labelled amino acids precursors: 15N2-L tryptophan and 13C-tyrosine.
The alcoholic fermentation experiments are performed with two different commercial
S cereviseae yeasts using synthetic must with the addition of the labelled compounds and the bioactive compounds were followed during the fermentation process. Six biological replicates of the fermentations were considered. MEL, SER and HT were analysed by UHPLC coupled to High Resolution Mass Spectrometry (HRMS). Accurate mass determination allowed to unequivocally distinguishing labelled and unlabelled compounds.

Optimization of the ripening time of new varieties descendants of Monastrell

Given the impact of climate change on viticulture in the Region of Murcia, this paper attempts to expose the possibility of using genetic improvement as a dilemma that allows access to new descendant varieties of the autochthonous variety Monastrell crossed with varieties such as Syrah and Cabernet. Sauvignon, thus obtaining hybrids (Gebas and Myrtia). In it, the chromatic parameters and the phenolic profile of the new varieties will be compared with those obtained by the Monastrell variety at two moments during maturation (12 and 14 º Baumé), to check if the results would allow earlier harvests in these new varieties thus avoiding the decoupling between phenolic and technological maturity, while improving the quality of grapes and wines.

Bio-acidification of wines by Lachancea thermotolerans

Insufficient acidity in grapes from warm climates/vintages is commonly corrected through addition of tartaric acid during vinification, and less so with other organic acids. An alternative approach involves bio-acidification with the yeast Lachancea thermotolerans (LT) via lactic acid production during fermentation.