Table 5.
Summary of outliers potentially evolved under selection identified by frequency based genome scan methods (DFDIST and BAYESCAN), generalized linear model (Samβada), and generalized linear mixed effect model (GLMM) based on AFLP, MSAP-m, MSAP-u datasets.
Marker | FST based method | Samβada*and generalized linear mixed effect model (95% CI**, 99% CI***) | ||||||
---|---|---|---|---|---|---|---|---|
DFDIST (P value) | BAYESACN log10(PO) | BIO4 | BIO15 | NDVI | PET | Aspect | Slope | |
AFLP | ||||||||
aP1_264 | 0.00030a 0.00001bc |
2.4186a 0.6498b |
*a, b, c | *a, b, c | *a, b, c | *a, c | ||
aP1_377 | 0.00033a 0.00001b |
*a, b | *a, b | *b | *a, b | |||
aP2_195 | 0.00001b |
*b ** *** |
*b ** |
** *** |
** *** |
** *** |
||
aP2_204 | 0.00001b |
*b ** *** |
** |
*b ** |
** *** |
*b ** *** |
** *** |
|
aP4_287 | 0.00001b |
*b ** *** |
** |
** *** |
** *** |
** *** |
||
aP5_139 | 0.7426a |
*a ** *** |
*a ** |
*a ** *** |
** *** |
** *** |
** *** |
|
aP5_168 | 0.00001b |
*b ** *** |
*b | *b |
** |
|||
aP9_133 | 0.00013b | *b |
*b ** *** |
*b |
*b ** *** |
** |
||
aP9_322 | 0.6276a |
*a ** *** |
*a ** *** |
*a ** *** |
** *** |
** *** |
** *** |
|
aP9_391 | 1.0651a | *a | *a | *a | ||||
aP12_243 | 0.00001d | *d |
*d ** *** |
*d |
*d ** |
*d ** |
*d ** *** |
|
aP13_142 | 0.00515b |
*b ** *** |
** *** |
** *** |
||||
aP13_160 | 1.5681a | *a |
*a ** *** |
*a | *a | |||
aP13_235 | 0.8470a | *a | *a | *a | ||||
aP13_285 | 1.2573a |
*a ** *** |
*a ** *** |
*a |
*a ** |
|||
MSAP-m | ||||||||
mP7MH_201 | 0.00001b |
*b ** |
*b ** *** |
|||||
mP9MH_207 | 0.00008a 0.00001b | 1.5157a 0.8856b |
*a, b ** *** |
** *** |
*b | |||
mP9MH_214 | 0.00001a 0.00001b |
1.3445a 0.8623b |
*a | *b | ||||
mP16MH_198 | 0.00013a 0.00001b |
1.2910a 0.5036b |
*a, b |
*b ** *** |
||||
MSAP-u | ||||||||
uP5MH_169 | 0.00001b |
*b ** *** |
** *** |
*b |
** *** |
*b ** *** |
** *** |
|
uP6MH_135 | 0.5684a |
*a ** *** |
*a ** *** |
*a |
*a ** *** |
** *** |
*a ** *** |
|
uP9MH_158 | 0.00001b |
*b ** |
*b ** *** |
|||||
uP13MH_117 | 0.00001b |
*b ** *** |
** *** |
*b ** *** |
** *** |
*b ** *** |
** *** |
|
uP14MH_102 | 0.00057c | *c | *c |
** *** |
*c | |||
uP14MH_209 | 0.00001b |
*b ** *** |
*b | *b |
** *** |
*b ** *** |
** *** |
|
uP14MH_255 | 0.00001b | *b |
*b ** *** |
|||||
uP15MH_106 | 0.00320d |
*d ** *** |
*d ** *** |
*d ** *** |
*d ** *** |
*d ** *** |
*d ** *** |
|
uP15MH_134 | 0.00001b |
*b ** *** |
*b | *b | *b | |||
uP15MH_227 | 0.00001bc | 0.6766a | *a, b, c | *a, b, c | *a, c | *b | *c | |
uP16MH_169 | 0.00001b |
*b ** *** |
*b | *b |
*b ** *** |
|||
uP16MH_248 | 0.00001b | *b | ||||||
uP16MH_339 | 0.00001b | *b |
In GLMM, only the 32 potential selective outliers identified either by DFDIST or BAYESCAN were analyzed.
P < 0.0001 after 1% FDR cut off (both Wald and G tests)in Samβada analysis.
Values do not bracket zero in 95% confidence intervals in GLMM.
Values do not bracket zero in 99% confidence intervals in GLMM.
Global comparison among three Taiwania lineages.
Pairwise comparison between Taiwanese and Yunnan-Myanmar lineages.
Pairwise comparison between Taiwanese and Vietnamese lineages.
Pairwise comparison between Yunnan-Myanmar and Vietnamese lineages.