Table 1.

Overview of the set of summary statistics used for ABC inference

Summary statistic	Observed	Experiment
<0.771	0	Bot 10
[0.77 – 0.81[	0
[0.81 – 0.85[	1
[0.85 – 0.89[	1
[0.89 – 0.93[	3
[0.93 – 0.97[	20
>0.97	25
<0.77	0	Bot 20
[0.77 – 0.81[	0
[0.81 – 0.85[	4
[0.85 – 0.89[	2
[0.89 – 0.93[	12
[0.93 – 0.97[	24
>0.97	8
<0.77	0	Bot 30
[0.77 – 0.81[	0
[0.81 – 0.85[	2
[0.85 – 0.89[	10
[0.89 – 0.93[	10
[0.93 – 0.97[	21
>0.97	7
<0.77	0	Bot 40
[0.77 – 0.81[	2
[0.81 – 0.85[	5
[0.85 – 0.89[	8
[0.89 – 0.93[	16
[0.93 – 0.97[	13
>0.97	6
<0.77	0	Bot 50
[0.77 – 0.81[	4
[0.81 – 0.85[	10
[0.85 – 0.89[	9
[0.89 – 0.93[	15
[0.93 – 0.97[	11
>0.97	1
Slope 1202	−0.7986	Fitness recovery experiment
Intercept 120	0.7585
Slope 240	−0.8873
Intercept 240	0.8647

¹Observed distribution fitness values in the mutation accumulation experiment. Distributions at each time point (Bottleneck 10, 20, 30, 40, 50) are summarized using counts in seven classes of fitness values (all counts sum to 50 at each time point).

²The observed slope and intercept of the regression line describing the fitness recovery (after 120 or 240 generations) as a function of initial fitness.