terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Mapping grapevine metabolites in response to pathogen challenge: a Mass Spectrometry Imaging approach

Mapping grapevine metabolites in response to pathogen challenge: a Mass Spectrometry Imaging approach

Abstract

Every year, viticulture is facing several outbreaks caused by established diseases, such as downy mildew and grey mould, which possess different life cycles and modes of infection. To cope with these different aggressors, grapevine must recognize them and arm itself with an arsenal of defense strategies.

The regulation of secondary metabolites is one of the first reactions of plants upon pathogen challenge. Their rapid biosynthesis can highly contribute to strengthen the defense mechanisms allowing the plant to adapt, defend and survive. Most of the works published so far, have focused on untargeted and/or targeted metabolite accumulations in a sample pool of an infected tissue. However, with these approaches it is not possible to obtain knowledge about the actual localization of the accumulated metabolites nor their specific sites of action.

Mass spectrometry imaging (MSI) analytical techniques enable to visualize and map the spatial distribution of metabolites within plant tissues allowing to a better understanding of metabolite biosynthesis, localization and functions[1].

We have studied the spatial distribution of different metabolites in grapevine leaves infected with different pathogens, using Matrix Assisted Laser Desorption Ionization-MSI. Our results demonstrated that in grapevine-P. viticola interaction, putatively identified sucrose presented a higher accumulation mainly in the veins of the leaves, leading to the hypothesis that sucrose metabolism is being manipulated by the development structures of P. viticola[2]. Also, in grapevine leaves infected with B. cinerea, our results show that putatively identified stilbene phytoalexins accumulate in areas close to infection sites, with a high molecular diversity as evidenced by the detection of various oligomeric forms[3].

Our work opens new doors for the scientific community to gain a comprehensive understanding of the dynamics and variations of metabolite profiles in grapevine organs, at different developmental stages and under various stress conditions. This knowledge is crucial for elucidating the role of specific metabolites in grapevine defense mechanisms, identify specific regions of high or low metabolite production, which can contribute to targeted breeding to enhance disease resistance traits and impact grapevine productivity and quality.

Acknowledgements: Work funded by FCT-Portugal – research contract 2022.07433.CEECIND.

References:

  1. Maia M. et al. (2022). Molecular Localization of Phytoalexins at the Micron Scale: Towards a Better Understanding of Plant-Phytoalexin-Pathogen Dynamics. J. Agric. Food Chem. 70, 30, 9243–9245, DOI 10.1021/acs.jafc.2c04208
  2. Maia M. et al. (2022) Grapevine Leaf MALDI-MS Imaging Reveals the Localisation of a Putatively Identified Sucrose Metabolite Associated to Plasmopara Viticola Front. Plant Sci. 13:1012636, DOI 10.3389/fpls.2022.1012636
  3. Maia M. et al. (Submitted) Profiling and localization of stilbene phytoalexins revealed by MALDI-MSI during the grapevine-Botrytis cinerea J. Agric. Food Chem.

DOI:

Publication date: October 5, 2023

Issue: ICGWS 2023

Type: Article

Authors

Marisa Maia1,2,3*, Aziz Aziz4, Philippe Jeandet4, Andreia Figueiredo1,2, Vincent Carré3

1Grapevine Pathogen Systems Lab., Biosystems and Integrative Sciences Institute, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
2Departamento de Biologia Vegetal, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
3LCP-A2MC, Université de Lorraine, Metz, France
4RIBP, USC INRAE 1488, University of Reims Champagne-Ardenne, Reims, France

Contact the author*

Keywords

Mass Spectrometry Imaging, metabolomics, grapevine-pathogen interaction

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Exploring intra-vineyard variability with sensor- and molecular-based approaches 

The application of remote and proximal sensing is a fast and efficient method to monitor grapevine vegetative and physiological parameters and is considered valuable to derive information on associated yield and quality traits in the vineyard. Further details can be obtained by the application of molecular analysis at the gene expression level aiming at elucidating how pathways controlling the formation of different grape quality traits are influenced by spatial variability. This work aims at evaluating intra-vineyard variability in grape composition at harvest and at comparing this with remotely sensed canopy vegetation data and molecular-based approaches.

Exploring relationships among grapevine chemical and physiological parameters and mycobiome composition under drought stress

Improving our knowledge on biotic and abiotic factors that influence the composition of the grapevine mycobiome is of great agricultural significance, due to potential effects on plant health, productivity, and wine characteristics. Among the various environmental factors affecting the morphological, physiological, biochemical and molecular attributes of grapevine, drought stress is one of the most severe, becoming increasingly an issue worldwide.

Volatilome in grapevine leaves is defined by the variety and modulated by mycorrhizal symbiosis

Volatile organic compounds (VOCs) constitute a diverse group of secondary metabolites key for the communication of plants with other organisms and for their adaptation to environmental and biotic stresses. The emission of these compounds through leaves is also affected by the interaction of plants with symbiotic microorganisms, arbuscular mycorrhizal fungi (AMF) among them [1]. Our objective was to know the concentration and profile of VOCs emitted by the leaves of two grapevine varieties (Tempranillo, T, and Cabernet Sauvignon, CS, grafted onto R110 rootstocks), inoculated or not with a consortium of five AMF (Rhizophagus irregularis, Funneliformis mosseae, Septoglomus deserticola, Claroideoglomus claroideum and C. etunicatum).

Model-assisted analysis of the root traits underlying RSA genotypic diversity in Vitis: a promising approach for rootstock selection?

By dissecting the root system architecture (RSA) into its underpinning components (e.g. root emission, axial growth, radial growth, branching, root direction or tropism) and identifying the relationships between them, functional-structural 3D root models are promising tools for analyzing the diversity and complexity of root system phenotypes with Genotype × Environment interactions. The model parameters are assumed to be synthetic traits, less influenced by the environment, and consequently with less polygenic architectures than the integrative RSA traits they drive. Root models can serve as a basis for in silico development of root system ideotypes by highlighting the developmental processes and parameters that most likely influence RSA fitness.

Can yeast cells sense other yeasts beyond competition interactions?

The utilization of non-Saccharomyces yeasts in the wine industry has increased significantly in recent years. Alternative species need commonly be employed in combination with Saccharomyces cerevisiae to avoid stuck fermentation, or microbial spoilage. The employment of more than one yeast starter can lead to interactions between different species with an impact on the outcome of wine fermentation. Previous studies[1] demonstrated that S. cerevisiae elicits transcriptional responses with both shared and species-specific features in co-culture with other yeast species.