The Annals of Applied Probability · 2018 · 28 citations · 19 references
Life SciencesEvolutionary BiologyGeneticsEvolutionary TheoryPopulation GeneticsStochastic ProcessesAllele Frequency DynamicsBranching ProcessesJump ProcessesNatural SelectionSelection In PopulationsSelection TheoryAllele FrequencyDiscrete-time Population ModelsErgodic PropertiesFrequency-dependent SelectionJump-diffusion ModelsJump-diffusion ProcessesWeak Convergence Of Stochastic ProcessesWright-fisher Model
A two-types, discrete-time population model with finite, constant size is constructed, allowing for a general form of frequency-dependent selection and skewed offspring distribution. Selection is defined based on the idea that individuals first choose a (random) number of potential parents from the previous generation and then, from the selected pool, they inherit the type of the fittest parent. The probability distribution function of the number of potential parents per individual thus parametrises entirely the selection mechanism. Using sampling- and moment-duality, weak convergence is then proved both for the allele frequency process of the selectively weak type and for the population’s ancestral process. The scaling limits are, respectively, a two-types $\Xi$-Fleming–Viot jump-diffusion process with frequency-dependent selection, and a branching-coalescing process with general branching and simultaneous multiple collisions. Duality also leads to a characterisation of the probability of extinction of the selectively weak allele, in terms of the ancestral process’ ergodic properties.
19
Evolutionary Rate at the Molecular Level
Nature · 1968 · 3.8K citations
Coalescents With Multiple Collisions
Jim Pitman · The Annals of Probability · 1999 · 514 citations
Ancestral Processes with Selection
Stephen M. Krone, Claudia Neuhauser · Theoretical Population Biology · 1997 · 335 citations
The Genealogy of Samples in Models With Selection
Claudia Neuhauser, Stephen M. Krone · Genetics · 1997 · 323 citations · Full text