A constant challenge in agriculture is the emergence of new plant diseases. Correct identification and characterisation of emerging pathogens is essential for the development of effective control strategies. In addition, understanding the evolutionary origin of new pathogens in agricultural production systems may help to prevent future outbreaks. This session aims to present research on emerging plant pathogens, including genome-based studies intended at identifying genetic changes associated with new adaptive strategies. The session will emphasise the importance of correct diagnostics and characterisation of genetic diversity at local and global scales to infer the evolutionary potential of emerging plant pathogens.
A constant challenge in agriculture is the emergence of new plant diseases. Correct identification and characterisation of emerging pathogens is essential for the development of effective control strategies. In addition, understanding the evolutionary origin of new pathogens in agricultural production systems may help to prevent future outbreaks. This session aims to present research on emerging plant pathogens, including genome-based studies intended at identifying genetic changes associated with new adaptive strategies. The session will emphasise the importance of correct diagnostics and characterisation of genetic diversity at local and global scales to infer the evolutionary potential of emerging plant pathogens.
This session explores pioneering approaches in synthetic biology and artificial intelligence to engineer plant-microbe traits. It will cover how AI-driven protein design and synthetic biology approaches can support novel plant functions and influence plant-microbe interactions. Key topics include enhancing plant nutrition by engineering endogenous nitrogen fixation and developing advanced strategies for disease resistance. The session will present research focused on interdisciplinary solutions for agricultural sustainability, exploring how computational tools and bioengineering can contribute to advancements in plant science and address challenges in global food security.
This session explores pioneering approaches in synthetic biology and artificial intelligence to engineer plant-microbe traits. It will cover how AI-driven protein design and synthetic biology approaches can support novel plant functions and influence plant-microbe interactions. Key topics include enhancing plant nutrition by engineering endogenous nitrogen fixation and developing advanced strategies for disease resistance. The session will present research focused on interdisciplinary solutions for agricultural sustainability, exploring how computational tools and bioengineering can contribute to advancements in plant science and address challenges in global food security.
Plant-microbe interactions are heterogeneous due to the diversity of cell types within tissues, the uneven distribution of microbial niches, and the asynchronous nature of individual cellular interactions. This heterogeneity can obscure fundamental principles of cellular interactions when analyzed at the tissue scale. This session will bring together researchers–across geography, career stages and experimental systems–interested in discerning the heterogeneity at the plant-microbe interface in space and time. In addition, it will be of particular interest to those interested in exploring the potential of the latest imaging and genomics techniques, including single-cell and spatial omics technologies, in advancing MPMI research.
Plant-microbe interactions are heterogeneous due to the diversity of cell types within tissues, the uneven distribution of microbial niches, and the asynchronous nature of individual cellular interactions. This heterogeneity can obscure fundamental principles of cellular interactions when analyzed at the tissue scale. This session will bring together researchers–across geography, career stages and experimental systems–interested in discerning the heterogeneity at the plant-microbe interface in space and time. In addition, it will be of particular interest to those interested in exploring the potential of the latest imaging and genomics techniques, including single-cell and spatial omics technologies, in advancing MPMI research.
This session examines how structural biology informs the engineering of plant immune receptors and signalling pathways. We seek abstracts on structure-guided approaches to engineer immune recognition specificity and modify signalling networks. Areas include computational prediction of receptor-ligand interactions, experimental validation of engineered immune components, and development of screening platforms. We welcome work combining structural analysis with functional studies in plant immunity. Of particular interest are studies addressing technical challenges in synthetic biology approaches to plant immunity, including receptor stability optimization, achieving signalling specificity, and rational design of novel recognition capabilities.
This session examines how structural biology informs the engineering of plant immune receptors and signalling pathways. We seek abstracts on structure-guided approaches to engineer immune recognition specificity and modify signalling networks. Areas include computational prediction of receptor-ligand interactions, experimental validation of engineered immune components, and development of screening platforms. We welcome work combining structural analysis with functional studies in plant immunity. Of particular interest are studies addressing technical challenges in synthetic biology approaches to plant immunity, including receptor stability optimization, achieving signalling specificity, and rational design of novel recognition capabilities.