We ask the question "when will natural selection on a gene in a spatially structured population cause a detectable trace in the patterns of genetic variation observed in the contemporary population?" We focus on the situation in which "neighbourhood size", that is the effective local population density, is small. The genealogy relating individuals in a sample from the population is embedded in a spatial version of the ancestral selection graph and through applying a diffusive scaling to this object we show that whereas in dimensions at least three, selection is barely impeded by the spatial structure, in the most relevant dimension, d = 2, selection must be stronger (by a factor of log(1/μ) where μ is the neutral mutation rate) if we are to have a chance of detecting it. The case d = 1 was handled in Etheridge, Freeman and Straulino (The Brownian net and selection in the spatial Lambda-Fleming-Viot. Preprint). The mathematical interest is that although the system of branching and coalescing lineages that forms the ancestral selection graph converges to a branching Brownian motion, this reflects a delicate balance of a branching rate that grows to infinity and the instant annullation of almost all branches through coalescence caused by the strong local competition in the population.
- Branching Brownian motion
- Natural selection
- Population genetics
- Spatial Lambda-Fleming-Viot process
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
FingerprintDive into the research topics of 'Branching Brownian motion and selection in the spatial Lambda-Fleming-Viot process'. Together they form a unique fingerprint.
- Department of Mathematical Sciences - Lecturer & Royal Society Research Fellow
- Probability Laboratory at Bath
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
Person: Research & Teaching, Researcher