terclim by ICS banner
IVES 9 IVES Conference Series 9 Spatial variability of grape berry maturation program at the molecular level 

Spatial variability of grape berry maturation program at the molecular level 

Abstract

The application of sensors in viticulture is a fast and efficient method to monitor grapevine vegetative, yield and quality parameters and determine their spatial intra-vineyard variability. Molecular analysis at the gene expression level can further contribute to the understanding of the observed variability by elucidating how pathways responsible for different grape quality traits behave in zones diverging for one or the other parameter. The intra-vineyard variability of a Cabernet Sauvignon vineyard was evaluated by a standard Normalized Difference Vegetation Index (NDVI) mapping approach, employing UAV platform, accompanied by detailed ground-truthing (e.g. vegetative, yield, and berry ripening compositional parameters) that was applied in 14 spots in the vineyard. Berries from different spots were additionally investigated by microarray gene expression analysis, performed at five time points from fruit set to full ripening. The relationships between NDVI and ground measurements were explored by correlation analysis and revealed high variability in the vineyard. Comparison between the transcriptome data of spots with the highest and lowest NDVI values unraveled 968 differentially expressed genes. Among them, were ripening-related genes, found to feature the low vigor spots, and genes involved in photosynthesis mechanisms that were prevalent in the high vigor spots. Spatial variability maps of the expression level of key berry ripening genes showed consistent patterns, aligned with the vineyard vigor map and with spatial maps generated for several vine and berry parameters. These insights suggest that berries from different vigor zones present distinct molecular maturation programs, hence, showing potential in predicting spatial variability in fruit quality.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Article

Authors

Ron Shmuleviz1*, Alessandra Amato1, Pietro Previtali2, Elizabeth Green2, Luis Sanchez2, Maria Mar Alsina2, Nick Dokoozlian2, Giovanni Battista Tornielli1,3 and Marianna Fasoli1

1 Department of Biotechnology, University of Verona, 37134 Verona (VR), Italy
2 E. & J. Gallo Winery, Modesto, CA 95354, USA
3 Current address: Department of Agronomy, Food, Natural resources, Animals and  Environment, University of Padova, 35020 Legnaro (PD), Italy.

Contact the author*

Keywords

berry ripening, vegetation indices, gene expression analysis, sensors, precision viticulture

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Effect of the presence of anthocyanins on the interaction between wine phenolic compounds and high molecular weight salivary proteins

As a result of climate change consequences, there is a gap between the times at which the grapes reach the phenolic and the technology maturities.

Grapevine DMR6-1 DMR6-2 double mutants display constitutive systemic acquired resistance and altered gibberellin metabolism

Achieving disease resistance in grapevine (Vitis vinifera) without compromising plant growth is a significant challenge for viticulture. Astrategy to reduce susceptibility to Downy Mildew (DM) is through dual inactivation of the salicylic acid (SA) hydroxylases VviDMR6-1 and VviDMR6-2 by gene editing, which leads to elevated endogenous SAlevels and enhanced immunity.

Research on sampling methodologies for vineyard yield forecasting in different cultivars and trellis systems

Vineyard yield forecasting is a key issue for vintage scheduling and for optimizing vineyard and winery resources.

Chitosan from mushroom by-products: sustainable extraction process and winemaking application

Chitosan is a biopolymer industrially obtained from the deacetylation of chitin, the second most abundant polysaccharide on earth, after cellulose. It is extracted from various terrestrial and marine resources, including insects, grasshoppers, shrimps, crabs, lobsters, squids, and fungi. chitosan has a polycationic character due to the free amine groups along its chemical backbone, and depending on its deacetylation degree (DD) and molecular weight (MW), it shows variable properties that differ from those of other natural polysaccharides.

YEAST-PRODUCED VOLATILES IN GRAPE BASED SYSTEM MODEL ACTING AS ANTIFUNGAL BIOAGENTS AGAINST PHYTOPATHOGEN BOTRYTIS CINEREA

Botrytis cinerea Pers., the causal agent of grey mould disease, is responsible for substantial economic losses, as it causes reduction of grape and wine quality and quantity. Exploitation of antagonistic yeasts is a promising strategy for controlling grey mould incidence and limiting the usage of synthetic fungicides. In our previous studies, 119 different indigenous yeasts were screened for putative multidimensional modes of action against filamentous fungus B. cinerea [1]. The most promissing biocontrol yeast was Pichia guilliermondii ZIM624, which exhibited several anatagonistic traits (production of cell wall degrading enzymes, chitinase and β-1,3-glucanase; demonstration of in vitro inhibitory effect on B. cinerea mycelia radial growth; production of antifungal volatiles, assimilation of a broad diversity of carbon sources, contributing to its competitivnes in inhabiting grapes in nature).