TABLE 2

Average rate of fitness loss with an exponential distribution of s-values

NaUNEmbedded ImageReplbEmbedded Imagec (×106)NebdU2Nebes2NebfEmbedded Imageg (×106)Embedded Imageh (×106)
50031031.5 (0.04)4190.6712.410.840.39
500100.123.4 (0.05)5004.5 × 10−41.10∼03.3
500101215 (0.001)4843.291.837.4 (5.6)5.9
5001010212 (0.5)3232.062.388.0 (8.1)2.2
500103023.2 (0.03)3330.8832.462.00.72
5001010040.49 (0.03)3910.2892.490.260.16
500255372 (1.1)2836.502.2454 (52)13
50010013220 (0.5)42525.51.76120 (110)71
500100102630 (5)14713.42.25530 (500)94
5001001005120 (4)1242.712.4780 (88)16
50001000102160 (2)74065.42.03140 (130)31
500010001002310 (6)24518.32.35280 (280)36
500010001000412 (0.2)4122.912.498.2 (8.8)1.4
5000100010(As above)898i90i2.33i150i22i
50001000100(As above)294i24.4i2.79i310i26i
500010001000(As above)456i38.3i3.00i9.0i1.2i
  • a Population size of the corresponding Wright–Fisher model.

  • b Number of replicate runs.

  • c Rate of fitness loss calculated from the simulation using the exponentially distributed s-values in a Moran model with population size 2N: in parentheses, the standard deviation in the replicate runs is shown. Runs were between 104 and 2.14×106 generations; for each parameter combination, at least one run was longer than 2×105 generations.

  • d Effective population size calculated from the integral in Equation 12.

  • e Effective mutation rate in category 2 from Equation 10.

  • f Effective selection coefficient in category 2 from Equation 11.

  • g Rate of fitness loss in category 2 calculated as s2Embedded Image from a 1D simulation with parameters Neb, U2, and s2 (within parentheses, calculation using Equation 14).

  • h Rate of fitness loss in category 3 calculated from the integral in Equation 13.

  • i Predicted results when the border to category 1 is at sNeb > 5.