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Table 1 Results of the simulations: Percentage of quartets in which significant windows were found and C(k) 12 values (average ± s.e.m.) for those windows. The values of μ refer to the rate applied to the region shown in Figure 1 (amino acids 76 – 125 in the simulated proteins), while the other regions of the sequences (amino acids 1 – 75 and 126 – 200) were kept evolving at a basal rate μ = 0.5. α is the shape parameter of the gamma distribution. The percentage of significant simulations was compared between the controls and the quartets with increased rates using the chi-square test. The average C(k) 12 values were compared using the t test. In bold, significant results. p values are detailed

From: UVPAR: fast detection of functional shifts in duplicate genes

  α = 0.2 α = 0.7 α = 1.5 α = 3
μ = 0.5
(control, no increase)
2%
0.881 ± 0.146
3%
0.664 ± 0.208
2%
0.715 ± 0.238
3%
0.831 ± 0.226
μ = 1
(2× increase)
2%
0.613 ± 0.306
3%
0.583 ± 0.218
3%
0.914 ± 0.124
3%
0.909 ± 0.102
μ = 2.5
(5× increase)
5%
0.814 ± 0.133
13% (p = 0.012)
0.998 ± 0.070 (p = 0.037)
12% (p = 0.008)
0.808 ± 0.075
14% (p = 0.007)
1.010 ± 0.096
μ = 5
(10× increase)
10% (p = 0.020)
1.048 ± 0.220
35% (p < 0.001)
1.188 ± 0.045
(p = 0.002)
55% (p < 0.001)
1.328 ± 0.114
(p = 0.001)
51% (p < 0.001)
1.374 ± 0.049
(p = 0.006)