TABLE 5

Estimates of the average coefficient of dominance (± standard error) for a model of mutations with pleiotropic effects on fitness

λ = 0.2, Embedded Image, Embedded Imageλ = 0.006, Embedded Image, Embedded Image
r(s, c)0.00.50.00.5
A.
 Embedded Image0.51 ± 0.0220.54 ± 0.0240.21 ± 0.0120.25 ± 0.018
 by.x0.17 ± 0.003 (0.18)0.19 ± 0.006 (0.19)0.03 ± 0.002 (0.07)0.03 ± 0.002 (0.07)
 Embedded Image0.28 ± 0.0020.31 ± 0.0030.08 ± 0.0010.09 ± 0.002
 1/bx.y0.32 ± 0.002 (0.33)0.34 ± 0.003 (0.34)0.13 ± 0.008 (0.15)0.12 ± 0.005 (0.16)
B.
 Embedded Image0.28 ± 0.0310.29 ± 0.0210.12 ± 0.0060.16 ± 0.015
 by.x0.11 ± 0.004 (0.12)0.11 ± 0.003 (0.12)0.00 ± 0.000 (0.03)0.00 ± 0.000 (0.03)
 Embedded Image0.19 ± 0.0030.19 ± 0.0030.02 ± 0.0010.02 ± 0.000
 1/bx.y0.34 ± 0.004 (0.88)0.35 ± 0.002 (0.81)0.11 ± 0.099 (0.15)0.22 ± 0.174 (0.16)
  • The coefficient of selection for fitness is cs, where c is uniformly distributed between 1 and 3, and the intended correlation between s and c is r(s, c). Results are from diffusion approximation for a population of size N = 105. (A) Model where h follows a beta distribution (r ≅ −0.4; Embedded Image and 0.02 for Embedded Image and 0.2, respectively). (B) Model where h follows a uniform distribution between 0 and exp(−ks) (Embedded Image; r ≅ −0.32 and −0.58 for Embedded Image and 0.2, respectively). β = 1.01. Parameters and definitions are as in Table 2.