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Table 10 Power to detect differentiation using datasets simulated with simuPOP ver 1.0.0

From: Gone with the currents: lack of genetic differentiation at the circum-continental scale in the Antarctic krill Euphausia superba

Nm Gen μsat mean Fst μsat power mtDNA mean Fst mtDNA power Combined power
0 100 0.00123 0.22 0.00378 0.18 0.36
0 200 0.00271 0.34 0.00916 0.55 0.64
0 300 0.00272 0.62 0.01691 0.88 0.96
0 400 0.00445 0.86 0.01988 0.94 1.00
1 100 0.00131 0.18 0.00731 0.22 0.38
1 200 0.00222 0.44 0.00843 0.44 0.76
1 300 0.00291 0.68 0.01466 0.7 0.92
1 400 0.00383 0.84 0.01483 0.82 0.98
5 100 0.00115 0.22 0.00532 0.22 0.36
5 200 0.00147 0.28 0.00868 0.35 0.50
5 300 0.00211 0.36 0.01252 0.66 0.80
5 400 0.00255 0.52 0.01372 0.76 0.90
  1. Ten populations of individuals with 3 diploid loci and one sequence haplotype, initialized with the empirical microsatellites and mitochondrial dataset, were simulated and allowed to diverge with a predefined number of migrants (Nm) for a fixed number of generations (Gen) before data collection and analysis with AMOVA. For each set of parameters one hundred replicates were performed. Reported are the mean Fst recorded and the percentage of dataset providing significant differences across replicates for microsatellites (μsat mean Fst and μsat power) and mitochondrial DNA (mtDNA mean Fst and mtDNA power). In addition the percentage of cases in which at least one marker detected significant differences is reported in the last column.