|
Method of detection
| |
Frequentist
|
Bayesian inference
|
|---|
|
Dataset
|
Locus
|
p-value
|
F
ST
|
Posterior probability
|
A
|
F
ST
|
|---|
|
Geography (Structure 11)
|
52
3
|
0.000
|
0.231
|
1
|
2.010
|
0.221
|
| |
68
|
0.000
|
0.338
|
1
|
1.790
|
0.191
|
| |
38
|
0.000
|
0.276
|
1
|
1.810
|
0.194
|
| |
10
|
0.000
|
0.248
|
0.758
|
1.000
|
0.105
|
| |
63
|
0.004
|
0.180
|
0.999
|
1.520
|
0.156
|
| |
13
|
0.099
|
0.061
|
0.974
|
1.320
|
0.136
|
| |
47
|
0.045
|
0.080
|
0.931
|
1.190
|
0.122
|
|
Geography + host-plant
|
38
|
0.000
|
0.259
|
1
|
2.090
|
0.208
|
|
(Structure 21)
|
52
|
0.000
|
0.256
|
1
|
2.180
|
0.220
|
| |
63
|
0.000
|
0.225
|
1
|
1.950
|
0.186
|
| |
68
|
0.000
|
0.231
|
0.999
|
1.650
|
0.151
|
| |
10
|
0.000
|
0.181
|
0.743
|
0.893
|
0.082
|
| |
30
|
0.016
|
0.088
|
0.908
|
1.110
|
0.098
|
| |
33
|
0.018
|
0.095
|
0.876
|
1.030
|
0.091
|
| |
27
|
0.102
|
0.066
|
0.882
|
1.040
|
0.092
|
| |
13
|
0.069
|
0.054
|
0.981
|
1.300
|
0.116
|
| |
47
|
0.043
|
0.065
|
0.865
|
1.030
|
0.092
|
|
Local host-plant differentiation
| | | | | | |
|
Regions
| | | | | | |
|
Finland2 (Structure 31)
| | | | | | |
|
Limousin (Structure 41)
|
27
|
0.000
|
0.217
|
0.915
|
1.460
|
0.222
|
|
Ardeche2 (Structure 51)
| | | | | | |
- 1As in Figure 1.
- 2No outliers were found with the significance level used.
- 3Bold type indicates markers that are detected by both methods with a type-I error (α) = 0.0006 for Dfdist, and with a posterior probability > 0.79 for BayeScan (see text for explanation about these values).
