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…

Text mining of wine reviews to investigate quality markers of ‘Nebbiolo’ wines from Valtellina

In Valtellina zone (north Italy), the winemaking of ‘Nebbiolo’ grapes leads to the production of two main wine types: classic red wines from fresh grapes, usually classified as Valtellina Superiore DOCG (mandatory oak aging) or Rosso di Valtellina DOC, and the Sforzato di Valtellina DOCG, which is produced using withered grapes according to traditional product specification and subjected to mandatory oak aging process. The withering process influences grape chemical composition and, in turn, the wine sensory profile, which is strongly linked to the wine quality and typicity perceived by consumers.

Identifying physiological and genetic bases of grapevine adaptation to climate change with maintained quality: Genome diversity as a driver for phenotypic plasticity  (‘PlastiVigne’ project)

In the face of climate change, new grapevine varieties will have to show an adaptive phenotypic plasticity to maintain production with erratic water resources, and still ensure the quality of the final product. Their selection requires a better knowledge of the genetic basis of those traits and of the elementary processes involved in their variability. ‘PlastiVigne’, an emblematic project of the Vinid’Occ key challenge, funded by the Occitanie Region (France), tackles this issue with innovative genomic and physiological tools implemented on a unique panel of grape genetic resources representing the genetic diversity of Vitis vinifera. A graph-pangenome is developed from a representative set of high-quality genomes to study the extent and impact of structural genome variations and chromosomal rearrangements in the rapid adaptation capacity of grapevine.

SmartGrape: early detection of cicada-borne vine diseases using field spectroscopy and detection of volatile plant scents

Bois noir (BN) is a cicada-transmitted grapevine disease that today causes up to 50% yield and vine loss in vineyards. It is caused by the phytoplasma Candidatus Phytoplasma solani (16SrXII-A).

Uncovering the interplay between Copper and SO2 tolerance in Saccharomyces cerevisiae

[lwp_divi_breadcrumbs home_text="IVES" use_before_icon="on" before_icon="||divi||400" module_id="publication-ariane" _builder_version="4.20.4" _module_preset="default" module_text_align="center" module_font_size="16px" text_orientation="center"...

Shading nets for the adaptation to climate change: effect on vine physiology and grape quality 

Viticulture is threatened by the environmental modification caused by climate change. Higher temperatures determine an acceleration of the ripening process, which can be detrimental to wine quality. In the mediterranean area, heat waves are also increasingly frequent, with consequent blocking of the vegetative activity of the vines and increased susceptibility to sunburn damage. thus, adaptation strategies are necessary to reduce stress and improve the quality of grape production. Amongst the various techniques available, shading nets represent an interesting alternative for their effects on canopy microclimate (i.e., reduction of photosynthetic activity, improvement of water use efficiency, and slowing down in the ripening process).