Objective
Plant R-genes involved in gene-or-gene interactions with pathogens are expected to undergo co-evolutionary arms races in which plant specificity and pathogen virulence continually adapt in response to each other. By contrast, molecular evolutionary studies on several Arabidopsis thaliana R-genes loci indicate a preponderance of ancient balanced polymorphisms, as illustrated by the Rpm1 gene conferring a resistance to the pathogen Pseudomonas syringae. Most models to describe the maintenance of polymorphisms in disease resistance genes assume that a fitness cost allows the persistence of alternative alleles. However, more complex models allow the maintenance of polymorphisms without this associated cost when spatial and temporal patterns in coevolving plant and pathogen associations are considered.
By modelling an A. thaliana - P.syringae metapopulation and exploring the importance of genotype specific fitness functions, the general aim of this proposal is to understand the forces important in explaining the lo ng lived Rpm1 polymorphism in A. thaliana. Combining stochastic models and fitness functions determined by the effects of the intensity (dosage) of P. syringae on the fitness of resistant and sensitive plants will lead to a realistic representation of the A. thaliana - P.syringae system.
If successful, it would be the first comprehensive investigation of the link between ecological genetics and dynamics, and long-term evolutionary processes (over millions of years). Elucidating the evolutionary dynamics in this well characterized plant-pathogen system is also expected to directly inform our understanding of other disease resistance polymorphisms, including human Major Histocompatibility Complex.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences genetics
- natural sciences biological sciences evolutionary biology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2004-MOBILITY-6
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
OIF - Marie Curie actions-Outgoing International Fellowships
Coordinator
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.