Objective
Our understanding of natural and sexual selection is too limited to allow predicting evolutionary responses in the wild. This knowledge gap is due in part to lack of temporal and spatial replication, of non-morphological studies, and of statistical power.
This project offers to integrate measures of selection at multiple levels (selection acting on phenotypic, additive genetic and genomic variations) for multiple potentially correlated traits (morphology, life-history, sexual ornament and personality) and across space and time. We will use data from a long-term monitoring project of blue tits Cyanistes caeruleus in multiple Mediterranean study sites. First, a phenotypic approach will measure present selection on combinations of traits, and explore spatio-temporal fluctuations of selection. We will especially test the importance of selection during extreme climatic events. Second, a quantitative genetic approach will estimate how fluctuating selection can impact evolutionary potential, and will predict the future evolutionary response to selection, independently of possible confounding environmental covariances. Third, an ecological genomics approach will analyze the genomic regions found to be associated with phenotypic variation in terms of genetic structure and footprints of selection, thereby providing insights into past selection that has shaped phenotypic variation. We will explore the habitat-specific genetic architecture of two fundamental fitness-related traits: timing of breeding and personality.
The originality and strength of this project lay in the unique opportunity to develop refined analyses of selection in the wild in a multi-site setting for a vertebrate living at the species’ range-edge. Its main assets are my expertise on the various analytical approaches and the availability of long term phenotypic and genetic data. Its ambition is to create a textbook example to improve our understanding of the dynamics of selection in space and time.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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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.
ERC-2013-StG
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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.
Host institution
75794 Paris
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.