PATH2EVOL · Unravelling pathogen evolution breaking down crop resistance in agricultural ecosystems
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2018-07-01 → 2020-06-30
- EU contribution
- €175,420
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
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Results in brief
Unravelling pathogen evolution breaking down crop resistance in agricultural ecosystems
Supplying sufficient and safe food to the growing world population is a major challenge. In modern agriculture, plant diseases are a major drawback on productivity requiring the breeding of resistant crop varieties and/or the deployment of chemical control agents. However, both avenues face severe challenges and societal concerns. Many pathogens can easily evolve resistance to chemicals leading to higher application doses. Concerns over the overall safety of such compounds is a major topic of current discussions. Pathogens can also easily evolve to cause disease on previously resistant plants by acquiring specific mutations in the genome. Plant resistance genes encode proteins that activate the plant immune system by recognizing pathogen-specific virulence factors. Mutations in virulence factors can suffice for pathogens to escape the plant immune system. Promising approaches include genome editing that can accelerate resistance breeding. Here also societal concerns remain about the acceptance of such technology. Our objective has been to apply evolutionary principles to understand the emergence of crop pathogens with the ultimate goal to identify more durable control strategies. We have analyzed a how the dominant pathogen of wheat in Europe, Zymoseptoria tritici, evolves the ability to attack plants. For this, we were interested to analyze the critical stage of infection happening during the colonization of a field. We collected large samples of the pathogen from two fields in Europe and performed large-scale genome sequencing. Using statistical approaches, we analyzed how the pathogens succeeded at the molecular level in the presence of resistant wheat cultivars. Specifically, we identified how specific changes in the frequency of mutations can be related to the success or failure of a pathogen to attack a crop plant. These blooms/collapses cycles of selection of crop pathogens populations taking place since domestication, may have shaped pathogens’ genomes to fasten resistance overcome and guarantee survival. Indeed, previous genomic analyses revealed that plant filamentous pathogens’ genomes are compartmentalized into stable gene-rich and dynamic gene-poor regions and that virulence genes are most likely to locate into the second ones. The evolutionary model of genomic regions evolving at different speeds emerged (i.e. the two-speed genome) and suggest that the genomic regions containing virulence genes evolve faster than the region containing essential genes. However, the roles of this genomic architecture in pathogen adaptation to agro-ecosystems remain unclear and a better understanding of its evolutionary dynamic is now crucial to appropriately deploy disease control strategies.
Data: CORDIS, © European Union
Project objective
Fungal crop pathogens cause severe yield losses and threaten food security. To prevent epidemics, deploying resistant varieties is currently the major avenue. However, agricultural ecosystems are highly conducive to the emergence of virulent pathogens and host resistance is rapidly overcome. The evolutionary mechanisms how virulence is gained on previously resistant hosts remains largely elusive. Identifying the genetic basis of adaptive evolution of pathogenic fungi in agricultural fields will be crucial to design future sustainable disease control strategies.The proposed project will analyze the process of pathogen adaptation to overcome crop resistance in agricultural ecosystem. The genomic architecture (i.e. ""two-speed genome"") of filamentous pathogens is thought to favor the rapid evolution of virulence genes and the rapid breakdown of host resistance. However, the causal link between pathogen adaptation in the field and rapidly evolving loci has not been established.I propose to use “reverse ecology”, an unbiased and holistic approach to associate genomic loci with adaptation to the host and environment using the fungal pathogen Zymoseptoria tritici as a model. Z. tritici is a pandemic pathogen causing the severe Septoria Tritici Blotch (STB) on wheat. Populations are highly diverse with high levels of gene flow and wheat resistance was repeatedly lost in field settings. To identify loci responding to selection driven by host resistance, I will analyze full genomes of large pathogen collections isolated from replicated field plots using a robust statistical frameworks. This will allow me to test for an association of selection responses and genomic locations. I will also identify the phenotypic traits under selection with a combination of association mapping data and functional predictions. My research will substantially increase our understanding of pathogen adaptation and guide future resistance deployment strategies in agricultural ecosystem.""
Original text from CORDIS.
Participants
- UNIVERSITE DE NEUCHATEL · NeuchatelCoordinatorSwitzerland
Links
Data: CORDIS, © European Union
