terclim by ICS banner
IVES 9 IVES Conference Series 9 Exploring the inner secrets of grapevine: a journey through plant-microbe interactions

Exploring the inner secrets of grapevine: a journey through plant-microbe interactions

Abstract

Throughout centuries of anthropocentric breeding, plants have been selectively bred to enhance their quality traits and yield, often overlooking the importance of neglected attributes, like those involved in the interactions with beneficial microorganisms. This phenomenon led to an alteration in the distribution of photosynthetic products, shifting from defence mechanisms to growth, commonly described as ‘domestication syndrome’. Addressing the losses stemming from this condition is imperative just as unravelling the concealed communication between grapevines and beneficial microorganisms. To this aim, a Synthetic Community (SynCom) has been formulated, using grapevine endophytes and arbuscular mycorrhizal fungi, and  applied to potted cuttings of diverse rootstock genotypes. Plant development and physiological parameters were carefully monitored throughout an entire growing season. Root samples were collected for: i) DNA extraction and metabarcoding analysis to identify the root-associated microbiota and ii) RNA extraction for transcriptomic analysis. Concurrently, leaf and root samples were collected for targeted metabolomics, focusing on compounds involved in microbial recruitment, including, among others, coumarins, strigolactones, salicylic acid, and jasmonic acid.

Employing an innovative multi-omics approach, phenotypic, physiological, biochemical, and molecular data will be integrated to improve our understanding of the complex interaction within grapevine and its associated microbiota.This could result in new breeding programs which will also consider these traits as selection criteria, thereby preserving the ability of grapevine to recruit beneficial microorganisms. Furthermore, these results will provide useful information for the development of a more effective SynCom to augment holobiont resilience and thus to promote more sustainable agricultural practices.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Alberto Spada1,2*, Giuseppe Paradiso1, Marco Sandrini1, Chiara Biselli3, Teodora Basile1, Raffaella Balestrini4, Claudio Bonghi2, Luca Nerva1,4, Walter Chitarra1,4

1 Research Centre for Viticulture and Enology, Council for Agricultural Research and Economics (CREA-VE), Via XXVIII Aprile 26, 31015 Conegliano, (TV), Italy
2 University of Padova, Department of Agronomy, Food, Natural resources, Animals and Environment, Via dell’Università 16, 35020 Legnaro (PD), Italy
3 Research Centre for Forestry and Wood, Council for Agricultural Research and Economics (CREA-FL), Viale Santa Margherita 80, 52100, Arezzo, Italy
4 National Research Council of Italy – Institute for Sustainable Plant Protection (CNR-IPSP), Strada delle Cacce 73, 10135 Torino (TO), Italy

Contact the author*

Keywords

Rootstock, Domestication syndrome, Endophytes, Microbial recruiting, Multi-omics

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Different soil types and relief influence the quality of Merlot grapes in a relatively small area in the Vipava Valley (Slovenia) in relation to the vine water status

Besides location and microclimatic conditions, soil plays an important role in the quality of grapes and wine. Soil properties influence…

Agronomical assessment of a vine « terroir » map: first results in the « AOC » Minervois region

Minervois is a vine region where the first detailed soil map was begun 30 years ago. In 2003, a new map was drawn plotting the soil-landscape associations. This map distinguishes 8 large soil units based on geology. The widest (called « marnes ») is the most complex : it is made of 57 sub-units, which leads to a high variability of the vine behaviour on this unit.

Learning from remote sensing data: a case study in the Trentino region 

Recent developments in satellite technology have yielded a substantial volume of data, providing a foundation for various machine learning approaches. These applications, utilizing extensive datasets, offer valuable insights into Earth’s conditions. Examples include climate change analysis, risk and damage assessment, water quality evaluation, and crop monitoring. Our study focuses on exploiting satellite thermal and multispectral imaging, and vegetation indexes, such as NDVI, in conjunction with ground truth information about soil type, land usage (forest, urban, crop cultivation), and irrigation water sources in the Trentino region in North-East of Italy.

Exploring the mechanisms underpinning grapevine susceptibility to esca in a range of Vitis vinifera L. cultivars

Grapevine susceptibility to fungal diseases, including the vascular disease esca, is a major threat for wine productivity and vineyard perennity worldwide.

Targeted and untargeted 1H-NMR analysis for sparkling wine’s authenticity

Studies on wineomics (wine’s metabolome) have increased considerably over the last two decades. Wine results from many environmental, human and biological factors leading to a specific metabolome for each terroir. NMR metabolomics is a particularly effective tool for studying the metabolome since it allows the rapid and simultaneous detection of major compounds from several chemical families.1 Quantitative NMR has already proven its effectiveness in monitoring the authenticity of still wines.