terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Unraveling the complexity of high-temperature tolerance by characterizing key players of heat stress response in grapevine

Unraveling the complexity of high-temperature tolerance by characterizing key players of heat stress response in grapevine

Abstract

Grapevine (Vitis spp.) is greatly influenced by climatic conditions and its economic value is therefore directly linked to environmental factors. Among these factors, temperature plays a critical role in vine phenology and fruit composition. In such conditions, elucidating the mechanisms employed by the vine to cope with heat waves becomes urgent. For the past few years, our research team has been producing molecular and metabolic data to highlight the molecular players involved in the response of the vine and the fruit to high temperatures [1]. Some of these temperature-sensitive genes are currently undergoing characterization using transgenesis approaches coupled or not with genome editing, taking advantage of the Microvine genotype [2]. The expected results will allow us to enhance our understanding of the molecular mechanisms underlying grapevine’s response to heat stress and to identify biomarkers associated with temperature resilience. Furthermore, in the long term, these findings may facilitate the development of grapevine cultivars that are better adapted to the future climate.

Acknowledgements: This project and C.P. PhD thesis are supported by the French National Research Agency (ANR) (PARASOL Project, ANR-20-CE21-0003).

References:

1- Lecourieux, F et al. (2017). Dissecting the Biochemical and Transcriptomic Effects of a Locally Applied Heat Treatment on Developing Cabernet Sauvignon Grape Berries. Frontiers in Plant Science, 8. https://doi.org/10.3389/fpls.2017.00053
2- Torregrosa, L et al. (2019). The microvine, a model for studies in grapevine physiology and genetics. OENO One, 53(3). https://doi.org/10.20870/oeno-one.2019.53.3.2409

DOI:

Publication date: October 6, 2023

Issue: ICGWS 2023

Type: Poster

Authors

Cécile Prévot 1, David Lecourieux1 and Fatma Ouaked-Lecourieux1

1UMR 1287 Ecophysiologie et Génomique Fonctionnelle de la Vigne, ISVV Bordeaux-Aquitaine, 210 Chemin de Leysotte, 33140 Villenave-d’Ornon, France

Contact the author*

Keywords

grapevine, heat stress, functional genomic, climate change

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Mycorrhizal symbiosis modulates flavonoid and amino acid profiles in grapes of Tempranillo and Cabernet Sauvignon 

Arbuscular mycorrhizal fungi (AMF) symbiosis is probably the most widespread beneficial interaction between plants and microorganisms. AMF has been widely reported to promote grapevine growth, water and nutrient uptake as well as both biotic and abiotic stress tolerance[1]. However, the impact of AMF on grape composition has been less studied. The aim of this work was to evaluate the effects of the association between two commercial grapevine cultivars (Tempranillo and Cabernet Sauvignon grafted onto 110 rootstock) and AMF on the anthocyanin, flavonol and amino acid concentrations and profiles of grapes.

Towards the understanding of wine distillation in the production of brandy de Jerez. Chemical and sensory characterization of two distillation methods: continuous and batch distillation

Brandy de Jerez (BJ) is a spirit drink made exclusively from spirits and wine distillates and is characterized by the use of casks for aging that previously contained Sherries. The quality and sensory complexity of BJ depend on the raw materials and some factors: grape variety, conditions during processing the wine and its distillation, as well as the aging in the cask. Therefore, the original compounds of the grapes from which it comes are of great interest being in most cases the Airén variety. Their relationship with the quality of the musts and the wines obtained from them has been studied (1) and varies each year of harvest depending on the weather conditions (2).

Analysis of the interaction of melatonin with glycolytic proteins in Saccharomyces cerevisiae during alcoholic fermentation 

Melatonin is a bioactive compound with antioxidant properties, that has been found in many fermented beverages, such as beer and wine [1]. Indeed, it has been shown that yeast can synthesize melatonin during alcoholic fermentation, although its role inside the cell, as well as the metabolic pathway involved in its synthesis, is still unclear [1]. Recent studies showed that during fermentation, melatonin interacts with different proteins of the glycolytic pathway in both Saccharomyces and non-Saccharomyces yeast, for instance glyceraldehyde 3-phosphate dehydrogenase, pyruvate kinase or enolase [2].

Early defoliation positively enhances bioactive composition of berries with no effect on cuticle characteristics

Leaf removal in the fruit-zone has been employed to improve cluster light exposure and ventilation and therefore increase metabolite accumulation and reduce botrytis incidence in berries. When applied before flowering (early defoliation – ED), it can also decrease cluster compactness and regulate yield in high-yielding varieties. This study aimed to evaluate the impact of ED on the physiology and metabolism of Aragonez (syn. Tempranillo) berries along the ripening period. The experiment was set up in 2013 at a commercial vineyard located in the Lisbon winegrowing region.

Oenococcus oeni clonal diversity in the carbonic maceration winemaking

This essay was aimed to describe the clonal diversity of Oenococcus oeni in the malolactic fermentation of the carbonic maceration (CM) winemaking. The free and the pressed liquids from CM were sampled and compared to the wine from a standard winemaking with previous destemming and crushing (DC) of grapes [1]. O. oeni strain typification was performed by PFGE as González-Arenzana et al. described (2014) [2]. Results showed that 13 genotypes, referred as to letters, were distinguished from the 49 isolated strains, meaning the genotype “a” the 27%, the “b” the 14%, the “c” the 12%, the “d and e” the 10 % each other, and the remaining ones less than the 8% each one.