Average rate of fitness loss with an exponential distribution of s-values
| Na | UN |  | Replb |  c (×106) | Nebd | U2Nebe | s2Nebf |  g (×106) |  h (×106) |
|---|---|---|---|---|---|---|---|---|---|
| 500 | 3 | 10 | 3 | 1.5 (0.04) | 419 | 0.671 | 2.41 | 0.84 | 0.39 |
| 500 | 10 | 0.1 | 2 | 3.4 (0.05) | 500 | 4.5 × 10−4 | 1.10 | ∼0 | 3.3 |
| 500 | 10 | 1 | 2 | 15 (0.001) | 484 | 3.29 | 1.83 | 7.4 (5.6) | 5.9 |
| 500 | 10 | 10 | 2 | 12 (0.5) | 323 | 2.06 | 2.38 | 8.0 (8.1) | 2.2 |
| 500 | 10 | 30 | 2 | 3.2 (0.03) | 333 | 0.883 | 2.46 | 2.0 | 0.72 |
| 500 | 10 | 100 | 4 | 0.49 (0.03) | 391 | 0.289 | 2.49 | 0.26 | 0.16 |
| 500 | 25 | 5 | 3 | 72 (1.1) | 283 | 6.50 | 2.24 | 54 (52) | 13 |
| 500 | 100 | 1 | 3 | 220 (0.5) | 425 | 25.5 | 1.76 | 120 (110) | 71 |
| 500 | 100 | 10 | 2 | 630 (5) | 147 | 13.4 | 2.25 | 530 (500) | 94 |
| 500 | 100 | 100 | 5 | 120 (4) | 124 | 2.71 | 2.47 | 80 (88) | 16 |
| 5000 | 1000 | 10 | 2 | 160 (2) | 740 | 65.4 | 2.03 | 140 (130) | 31 |
| 5000 | 1000 | 100 | 2 | 310 (6) | 245 | 18.3 | 2.35 | 280 (280) | 36 |
| 5000 | 1000 | 1000 | 4 | 12 (0.2) | 412 | 2.91 | 2.49 | 8.2 (8.8) | 1.4 |
| 5000 | 1000 | 10 | (As above) | 898i | 90i | 2.33i | 150i | 22i | |
| 5000 | 1000 | 100 | (As above) | 294i | 24.4i | 2.79i | 310i | 26i | |
| 5000 | 1000 | 1000 | (As above) | 456i | 38.3i | 3.00i | 9.0i | 1.2i |
↵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 s2
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.
