EPSRC Reference: |
EP/I013091/1 |
Title: |
Natural Selection in Spatially Structured Populations |
Principal Investigator: |
Barton, Professor N |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Inst of Evolutionary Biology |
Organisation: |
University of Edinburgh |
Scheme: |
Standard Research |
Starts: |
01 March 2011 |
Ends: |
28 February 2014 |
Value (£): |
350,886
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EPSRC Research Topic Classifications: |
Population Ecology |
Statistics & Appl. Probability |
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EPSRC Industrial Sector Classifications: |
Pharmaceuticals and Biotechnology |
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Related Grants: |
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Panel History: |
Panel Date | Panel Name | Outcome |
24 Nov 2010
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Mathematics Responsive Mode Prioritisation Panel
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Announced
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Summary on Grant Application Form |
Population genetics explains the complex patterns of genetic variation that we observe in the world around us, and shows how these lead to the evolution of adaptation and diversity. The spatial variation that we see in almost all populations can tell us about the history of the species, and about how selection has acted. It is especially important now that we need to analyse the mass of DNA sequence data that has recently become available. However, until now there have been fundamental difficulties in formulating a consistent model of spatially continuous populations. We have developed just such a model, and shown how it can account for the large-scale changes that we see in real populations. In this project, we will extend the model to understand how selection acts in a spatial context. Amongst the questions we will ask are: How best to infer the history of a population from genetic data? Can selection on whole populations, rather than on individuals be effective? How do favourable genes spread through a species?
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Key Findings |
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.ed.ac.uk |