terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Effect of abiotic stress and grape variety on amino acid and polyamine composition of red grape berries

Effect of abiotic stress and grape variety on amino acid and polyamine composition of red grape berries

Abstract

Vines are exposed to environmental conditions that cause abiotic stress on the plants (drought, nutrient and mineral deficits, salinity, etc.). Polyamines are growth regulators involved in various physiological processes, as in abiotic plant stress responses. Stressful conditions can modify grape’s composition, and in this work, we have focused on studying the effect of abiotic stress on the composition of polyamines and amino acids in grapes. In addition, the effect of grape variety on these compounds has been studied. Forty-two grape samples from different vineyards of Pago de Carraovejas Winery, were harvested at the optimum ripening. Polyamines and amino acids of these musts were analyzed by reverse-phase high performance liquid chromatography with a diode-array detection system. Enological parameters were also determined according to official analysis methods. Multifactor analysis (MFA) was performed using the RStudio program, considering stress as qualitative variable.

MFA allowed differentiating the samples by stress and grape variety. Grapes from more stressed vineyards had the highest content of arginine, alanine, glutamine, methionine, lysine and serine. In contrast, Cabernet Sauvignon and Merlot grapes showed higher content of proline, glycine, putrescine and spermidine, and lower content of most amino acids (tryptophan, glutamic acid, aspartic acid, arginine, alanine, glutamine and methionine) than Tempranillo grapes.

These results indicate influence of grape variety and stress factor on polyamine and amino acid content of grape berries. Polyamine concentration seems to be more associated to grape variety than to stress. Further studies are needed to assess the evolution of these compounds during ripening and fermentation since amino acids are an important source of nitrogen for yeast growth and they are volatile compound precursors.

Acknowledgements: This study was supported by the project 2022/474 from “Rural Development Program (PDR) of Castilla y León 2014-2020” and financed with FEADER funds.

DOI:

Publication date: October 16, 2023

Issue: ICGWS 2023

Type: Poster

Authors

Silvia Pérez-Magariño1*, Inés Sampedro-Marigómez1, Estela Cano-Mozo1, Clara Albors2, Lorena López2, Eva Navascués2

1 Instituto Tecnológico Agrario de Castilla y León, Ctra. Burgos Km 119, 47071 Valladolid, Spain.
2 Pago de Carraovejas, Camino de Carraovejas, s/n. 47300 Peñafiel, Valladolid, Spain.

Contact the author*

Keywords

environmental stress, amino acids, polyamines, grape varieties

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Rootstock regulation of scion phenotypes: the relationship between rootstock parentage and petiole mineral concentration

Rootstocks not only provide tolerance to Phylloxera, but also ensure the supply of water and mineral nutrients to the whole plant. Rootstocks are an important way of adapting to environmental conditions while conserving the typical features of scion varieties. We can exploit the large diversity of rootstocks used worldwide to aid this adaptation. The aim of this study was to characterise rootstock regulation of scion mineral status and its relation with scion development.

Development and validation of a free solvent UHPLC/MS-MS method to analyse melatonin and its precursors in Spanish commercial wines  

Melatonin is a bioactive compound present in foods and beverages such as wines. During alcoholic fermentation, yeast transforms tryptophan into certain indole compounds, including melatonin. This paper aims to develop and validate a free solvent analytical method by ultra-high performance liquid chromatography coupled with high resolution mass spectrometry (UHPLC/MS-MS) to determine melatonin and its precursors (L-tryptophan, tryptamine, serotonin, tryptophol, N-acetylserotonin, 5-hydroxytryptophan, and 3- indoleacetic) that appropriately prevent the matrix effect.

Effect on the grape and wine characteristics of cv. Tempranillo at 3 production levels

The vineyard has experienced a general increase in yields mainly due to the elevated use of technology which caused a quality loss of grapes in more than one case. A large percentage of the Spanish vineyard is covered by a Denomination of Origin which limits the productive level of the vineyards as one of its regulations. The maximum production limit is a variable characteristic of each vineyard and is not usually regulated by agronomic criteria, and this explains the fact that each vineyard can reach high quality with a totally different yield from that set by the Denomination of Origin.

Late pruning, an alternative for rainfed vine varieties facing new climatic conditions

In Chile there is a dry farming area known as a traditional wine region, where varieties brought by the Spanish conquerors still persist. These varieties, in general, are cultivated under traditional systems, with low use of technical and economic resources, and low profitability for their grapes and wines. In this region, as in other wine grape growing areas, climatic conditions have changed significantly in recent decades. In particular, the occurrence of spring frosts, when bud break has already begun, have generated significant losses for these growers.

A novel approach for the identification of new biomarkers of wine consumption in human urine using untargeted metabolomics

Wine is one of the most representative components of Mediterranean diet. Moderate wine intake together with food, has been positively correlated with reduced risk of many chronic diseases. This beneficial effect seems to be ascribed to elevated polyphenolic content of wine [1]. Traditional approaches for the identification of wine biomarkers consumption include targeted metabolomics that focuses on the quantification of well-defined metabolites, losing a valuable information about a massive number of compounds. On the other hand, untargeted metabolomics can disclose a large quantity of signals corresponding to potential biomarkers in a single analysis with high sensitivity and resolution.