Table 2 .
Experimental design | Type of mutation* | Landscapes using this protocol | n | Wmax | σ | Q | ||||||||
rej | reg | nn | rej | reg | nn | rej | reg | nn | rej | reg | nn | |||
5 mutations, 25 genotypes | R | A, C | 0.85 | 0.68 | 0.64 | 0.57 | 0.39 | 0.37 | 0.44 | 0.35 | 0.32 | 0.67 | 0.49 | 0.43 |
IS | - | 0.91 | 0.79 | 0.7 | 0.34 | 0.2 | 0.18 | 0.33 | 0.19 | 0.19 | 0.35 | 0.15 | 0.09 | |
CS | F | 0.83 | 0.73 | 0.63 | 0.34 | 0.19 | 0.17 | 0.53 | 0.37 | 0.33 | 0.39 | 0.24 | 0.17 | |
4 mutations, 24 genotypes | R | - | 0.93 | 0.8 | 0.78 | 0.79 | 0.58 | 0.54 | 0.42 | 0.36 | 0.35 | 0.64 | 0.52 | 0.45 |
IS | I | 0.87 | 0.76 | 0.67 | 0.41 | 0.22 | 0.18 | 0.43 | 0.25 | 0.23 | 0.48 | 0.27 | 0.2 | |
CS | G | 0.9 | 0.76 | 0.69 | 0.37 | 0.2 | 0.17 | 0.49 | 0.33 | 0.3 | 0.42 | 0.33 | 0.24 | |
8 mutations, 8 single and 20 double mutants | RS | - | 0.8 | 0.58 | 0.54 | 0.68 | 0.48 | 0.5 | 0.37 | 0.3 | 0.29 | 0.55 | 0.44 | 0.4 |
IS | - | 0.75 | 0.69 | 0.63 | 0.44 | 0.29 | 0.22 | 0.41 | 0.29 | 0.28 | 0.47 | 0.33 | 0.29 | |
CS | - | 0.77 | 0.67 | 0.62 | 0.4 | 0.21 | 0.18 | 0.43 | 0.26 | 0.23 | 0.27 | 0.23 | 0.2 | |
20 mutations, up to 121 genotypes | R | B | 0.72 | 0.62 | 0.54 | 0.48 | 0.25 | 0.21 | 0.35 | 0.23 | 0.22 | 0.62 | 0.45 | 0.39 |
9 mutations, 9 single mutants, 18 double mutants | IS | D | 0.74 | 0.68 | 0.63 | 0.37 | 0.22 | 0.15 | 0.38 | 0.27 | 0.24 | 0.45 | 0.37 | 0.32 |
6 mutations, 6 single mutants, 15 double mutants | IS | E | 0.81 | 0.8 | 0.76 | 0.45 | 0.25 | 0.18 | 0.39 | 0.33 | 0.3 | 0.67 | 0.59 | 0.54 |
5 mutations, 25 genotypes | IS, high fitness combination | H1, H2 | 0.86 | 0.74 | 0.61 | 0.24 | 0.09 | 0.06 | 0.42 | 0.25 | 0.22 | 0.24 | 0.1 | 0.05 |
4 mutations, 24 genotypes | IS, small fitness effect mutants | H3 | 0.8 | 0.84 | 0.78 | 0.69 | 0.52 | 0.43 | 0.5 | 0.41 | 0.38 | 0.69 | 0.48 | 0.36 |
4 mutations, 24 genotypes | IS, large fitness effect mutants | H4 | 0.94 | 0.72 | 0.56 | 0.26 | 0.1 | 0.07 | 0.25 | 0.15 | 0.14 | 0.27 | 0.1 | 0.04 |
Prediction error for the four parameters of Fisher’s model, for several experimental designs (based on single and double mutants, or complete sets of mutations and all associated genotypes) and selection procedures (* R: random, IS: independently selected, CS: co-selected mutations), when the 6 summary statistics were used in the ABC algorithm. For each parameter, the three lowest prediction errors are in bold, highlighting the protocol and inference algorithms that perform best.