Table 2.
Competing models of SNP evolution. Models 1–4 allow adaptation in a single population. Models 5–7 allow various forms of parallel adaptation to treatments. Each of the k allele frequency parameters were estimated with maximum likelihood
| Model | Process | Model Parameters | k |
|---|---|---|---|
| 0 | Random drift | p 0: all populations | 1 |
| 1 | A1 adaptation | p 0: A2, B1, B2 | 2 |
| p 1: A1 | |||
| 2 | A2 adaptation | p 0: A1, B1, B2 | 2 |
| p 1: A2 | |||
| 3 | B1 adaptation | p 0: A1, A2, B2 | 2 |
| p 1: B1 | |||
| 4 | B2 adaptation | p 0: A1, A2, B1 | 2 |
| p 1: B2 | |||
| 5 | Parallel adaptation | p 0: A1, A2 | 2 |
| p 1: B1, B2 | |||
| 6 | No Bee parallelism | p 0: A1, A2 | 3 |
| p 1: B1 | |||
| p 2: B2 | |||
| 7 | Bee parallelism | p 0: B1, B2 | 3 |
| p 1: A1 | |||
| p 2: A2 | |||
| 8 | Independence | p 0: A1 | 4 |
| p 1: A2 | |||
| p 2: B1 | |||
| p 3: B2 |