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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

Sasha Gimelfarb

died on May 11, 2004


A multilocus analysis of frequency dependent selection on a quantitative trait

Reinhard Bürger

Department of Mathematics, University of Vienna

A Multilocus Analysis of Frequency-Dependent Selection on a Quantitative Trait


Frequency dependent selection

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

Frequency-Dependent Selection Caused by Intraspecific Competition


Intraspecific competition mediated by a quantitative trait under stabilizing selection

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

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

Ecological Assumptions

  • Fitness is determined by two components:

  • by stabilizing selection on a quantitative trait,

  • and

  • by competition among individuals of similar trait value,


Sasha gimelfarb died on may 11 2004

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.


Sasha gimelfarb died on may 11 2004

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.)


Sasha gimelfarb died on may 11 2004

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

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

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

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 with a gimelfarb

Numerical Results from a Statistical Approach (withA. Gimelfarb)


Figure poly th 0

Figure, poly, th=0


Figure poly th 0 0 75

Figure, poly, th=0, 0.75


Figure poly

Figure: poly


The weak selection or linkage equilibrium approximation

The Weak-Selection orLinkage-Equilibrium Approximation


Sasha gimelfarb died on may 11 2004

  • 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

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

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

  • 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

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

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

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.


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