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Sasha Gimelfarb died on May 11, 2004. Reinhard Bürger Department of Mathematics, University of Vienna. A Multilocus Analysis of Frequency-Dependent Selection on a Quantitative Trait. Frequency-dependent selection. has been invoked in the explanation of evolutionary phenomena such as
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Sasha Gimelfarb died on May 11, 2004
Reinhard Bürger Department of Mathematics, University of Vienna A Multilocus Analysis of Frequency-Dependent Selection on a Quantitative Trait
Frequency-dependent selection has been invoked in the explanation of evolutionary phenomena such as • Evolution of behavioral traits • Maintenance of high levels of genetic variation • Ecological character divergence • Reproductive isolation and sympatric speciation
Frequency-Dependent Selection Caused by Intraspecific Competition
Intraspecific competition mediated by a quantitative trait under stabilizing selection: • Bulmer (1974, 1980) • Slatkin (1979, 1984) • Christiansen & Loeschcke (1980), Loeschcke & Christiansen (1984) • Clarke et al (1988), Mani et al (1990) • Doebeli (1996), Dieckmann & Doebeli (1999) • Matessi, Gimelfarb, & Gavrilets (2001) • Bolnick & Doebeli (2003) • Bürger (2002a,b), Bürger & Gimelfarb (2004)
The General Model • A randomly mating, diploid population with discrete generations and equivalent sexes is considered. • Its size is large enough that random genetic drift can be ignored. • Viability selection acts on a quantitative trait. • Environmental effects are ignored (in particular, GxE interaction). Therefore, the genotypic value can be identified with the phenotype.
Ecological Assumptions • Fitness is determined by two components: • by stabilizing selection on a quantitative trait, • and • by competition among individuals of similar trait value,
The strength of competition experienced by phenotype g (= genotypic value) for a given distribution P of phenotypes is where and VA denote the mean and (additive genetic)variance of P.
If stabilizing selection acts independently of competition, the fitness of an individual with phenotype g can be written as where F(N) describes population growth according to N´=NF(N). (F may be as in the discrete logistic, the Ricker, the Beverton-Holt, the Hassell, or the Maynard Smith model.)
For weak selection ( , f = a/s constant), this fitness function is approximated by where is a compoundmeasure for the strength offrequency and densitydependence relative to stabilizing selection, i.e., .
Genetic Assumptions • The trait is determined by additive contributions from n diploid loci, i.e., there is neither dominance nor epistasis. • At each locus there are two alleles. The allelic effects at locus i are -gi/2 and gi/2. (This is general because the scaling constants can be absorbed by the position of the optimum and the strength of selection.)
Genetical and Ecological Dynamics pi , pi´ : frequencies of gamete i in consecutive generations Wjk :fitness of zygote consisting of gametes j, k R(jk->i): probability that a jk-individual produces a gamete of type i through recombination : mean fitness
Issues and problems to be addressed • What aspects of genetics and what aspects of ecology are relevant, and under what conditions? • When does FDS have important consequences for the genetic structure of a population? • How does FDS affect the genetic structure? • How much genetic variation is maintained by this kind of FDS?
Numerical Results from a Statistical Approach (withA. Gimelfarb)
The structure is the same as in Turelli and Barton 2004 (but ). The proofs of the results below use their results. • The population is assumed to be in demographic equilibrium, i.e., N and η are treated as constants. • All models of intraspecific competition and stabilizing selection I know have the above differential equation as their weak-selection approximation. • ‘Arbitrary‘ population regulation, i.e., with a unique stable carrying capacity, is admitted.
General Conclusions • The amount and properties of variation maintained depend in a nearly threshold-like way on , the strength of frequency and density dependence relative to stabilizing selection. • This critical value is independent of the number of loci and, apparently, also of the linkage map.
Weak FDS • If more than two loci contribute to the trait, then weak frequency dependence (< 1) can maintain significantly more genetic variance than pure stabilizing selection, but still not much. The more loci, the larger this effect. • FDS of such strength does not induce a qualitative change in the equilibrium structure relative to pure stabilizing selection. • Such FDS does not lead to disruptive selection, rather, stabilizing selection prevails.
Strong FDS • Strong FDS (> 1) causes a qualitative change in the genetic structure of a population by inducing highly polymorphic equilibria in positive linkage disequilibrium. • In parallel, such FDS induces strong disruptive selection, the fitness differences between phenotypes maintained in the population being much larger than under pure stabilizing selection.
Disruptive Selection • Therefore, disruptive selection should be easy to detect empirically whenever FDS is strong enough to affect the equilibrium structure qualitatively. • Its strength (the curvature of the fitness function at equilibrium) is s( – 1).
When Genetics Matters • The degree of polymorphism maintained by strong FDS depends on the number of loci and the distribution of their effects. • Models based on popular symmetry assumptions, such as equal locus effects or symmetric selection, are often not representative (they maintain more polymorphism). • Linkage becomes important only if tight. It produces clustering of the phenotypic distribution. Otherwise, the LE-approximation does a very good job.
Outlook • Include assortative mating to study the conditions leading to divergence within a population (work in progress K. Schneider). • Determine the conditions under which sympatric speciation is induced by intraspecific competition.