Ecological Archives C006-032-A4
Cheng-Yuan Xu, Shaoqing Tang, Mohammad Fatemi, Caroline L. Gross, Mic H. Julien, Caitlin Curtis, and Rieks D. van Klinken . 2015. Population structure and genetic diversity of invasive Phyla canescens: implications for the evolutionary potential. Ecosphere 6:162. http://dx.doi.org/10.1890/es14-00374.1
Appendix D. A table showing power analysis of microsatellite data with POWSIM (Ryman, 2011, User’s manual of POWSIM, a computer program for assessing statistical power when testing for genetic homogeneity, Version 4.1).
Table D1. Power analysis of microsatellite data with POWSIM (Ryman, 2011, User’s manual of POWSIM, a computer program for assessing statistical power when testing for genetic homogeneity, Version 4.1). The test was conducted for all 32 populations used in other analyses (including 5 pooled populations in the native range) and 47 non-pooled native populations (with 130 individuals collected per site), respectively. Five levels of population differentiation (Fst = 0.001, 0.0025, 0.005, 0.01, 0.025) were pre-defined with effective population sizes Ne = 1000 and Ne = 10,000 and the simulation was replicated 1000 times. Fisher’s exact P values are shown. The results suggest that our data can effectively distinguish genetic differentiation corresponding to Fst ≥ 0.01, which provides sufficient power to address the broad-scale spatial genetic structure of P. canescens.
Populations |
Effective population size (Ne) |
Fst |
||||
0.001 |
0.0025 |
0.005 |
0.01 |
0.025 |
||
All (n=32) |
1000 |
0.31 |
0.82 |
1.00 |
1.00 |
1.00 |
10000 |
0.27 |
0.81 |
1.00 |
1.00 |
1.00 |
|
Native (before pooling, n=47) |
1000 |
0.20 |
0.45 |
0.87 |
1.00 |
1.00 |
10000 |
0.17 |
0.43 |
0.88 |
1.00 |
1.00 |