N^{a} | UN | Repl^{b} | (×10^{c}^{6}) | N_{eb}^{d} | U_{2}N_{eb}^{e} | s_{2}N_{eb}^{f} | (×10^{g}^{6}) | (×10^{h}^{6}) | |
---|---|---|---|---|---|---|---|---|---|

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) | 898^{i} | 90^{i} | 2.33^{i} | 150^{i} | 22^{i} | |

5000 | 1000 | 100 | (As above) | 294^{i} | 24.4^{i} | 2.79^{i} | 310^{i} | 26^{i} | |

5000 | 1000 | 1000 | (As above) | 456^{i} | 38.3^{i} | 3.00^{i} | 9.0^{i} | 1.2^{i} |

↵

*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 2*N*: in parentheses, the standard deviation in the replicate runs is shown. Runs were between 10^{4}and 2.14×10^{6}generations; for each parameter combination, at least one run was longer than 2×10^{5}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*s*_{2}from a 1D simulation with parameters*N*_{eb},*U*_{2}, and*s*_{2}(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*sN*_{eb}> 5.