Objective
Meiotic recombination is a key source of genetic diversity with considerable implications for the genomic landscape and evolutionary process. By shuffling parental alleles to produce novel haplotypes, recombination impacts the strength of selection on nearby polymorphisms, and can increase the rate of adaptation in natural populations. Recombination defects can have serious phenotypic consequences: inviable gametes, miscarriages and developmental abnormalities. Strikingly, recombination rate differs by orders of magnitude across the genome, among individuals, sexes, populations and species. Despite recent progress, we know little about how molecular constraints and evolutionary forces interact to shape recombination in natural populations. We will close this knowledge gap using threespine stickleback fish—an exceptional evolutionary model system that bridges molecular genetic studies and adaptive evolution in the wild. This research program combines next-generation genomics with cutting-edge molecular biology and transgenics. We will 1) create kilobase-scale maps of the recombination landscape in adaptively diverging populations; 2) genetically dissect factors cis- and trans-acting factors that cause recombination variation; 3) characterize molecular mechanisms of recombination modifiers using cutting-edge techniques; and 4) test evolutionary theory that predicts natural selection favours recombination suppression in hybrids. This will significantly improve our understanding of recombination and introduce sophisticated genetic engineering techniques that further cement sticklebacks as an evolutionary model organism. Our ultimate goal is to understand how molecular mechanisms and natural selection shape and constrain recombination during adaptive divergence. This research connects a fundamental biological process that underlies severe human diseases with the tempo of adaptation in natural populations
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.
- natural sciences biological sciences evolutionary biology
- natural sciences biological sciences genetics genomes
- natural sciences biological sciences molecular biology
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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
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
ERC-2013-CoG
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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
80539 Munchen
Germany
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.