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. 2014 Aug 4;198(2):685–697. doi: 10.1534/genetics.114.168567

Table 5. Proportions (%) of trajectories that lead to one of the equilibria in stochastic simulations (N = 1000) after 10,000 generations.

Equilibrium Descriptiona Constant environment, weak selection Constant environment, strong selection Changing environmentb Optimum changec General fitnessd
E1 Polymorphic/symmetric 0 0 0 0 0
E2 + E3 Polymorphic/unsymmetric 0.59 3.75 0.07 0.79 0.00
E4 A polymorphic, loss at B 38.07 32.33 27.41 26.83 1.28
E5 A polymorphic, fixation at B 1.56 1.25 1.62 2.09 0.05
E6 Fixation in A, loss at B 26.48 15.77 37.39 18.15 20.40
E7 Loss at A, fixation at B 25.97 12.08 32.14 19.23 18.86
E8 Loss at A, loss at B 0 0 0 0.01 15.66
E9 Fixation at A, fixation at B 0.46 32.94 0.40 20.66 42.19
Sweep at A (fixation in E6)e 45.39 49.21 0.4 44.3 48.48
Sweep at B (fixation in E5)e 12.82 14.4 0 22.97 40.0
Sweep at B (fixation in E7)e 40.35 36.67 1.56 39.16 48.57
Sweep at A and B (fix. in E9)e 65.22 31.36 100 33.4 31.62
Transient 0 4.09 0 0 0
Unclassified 6.87 2.21 0.97 12.24 1.56
Sweeps total 23.0 22.7 1.05 22.95 32.41
a

The equilibria E1 to E9 are defined following Bürger (2000, p. 205).

b

Environmental changes were defined by random change of the original effects and selection coefficient.

c

In the shifted optimum model (see Models) the phenotypic optimum takes an arbitrary position 0 < θ < 1.

d

In the general fitness model the effects have arbitrary values sampled from (0, 2) such that A is major locus.

e

Selective sweeps are defined here as trajectories that lead to fixation from very low initial frequencies (<0.01). Numbers denote the proportions of fixations with initial frequencies <0.01.