TABLE 2.
yellow allele | Total Na | No. of trials | % success in experimental flies | % success control flies | Fisher's exact test P-valuebc | Pearson's χ2 d | Pearson's P-valuec | Mantel- Heanszel chi-squarede | Mantel- Heanszel P-valuec | Overall male-mating success |
---|---|---|---|---|---|---|---|---|---|---|
y1 | 120 | 5 | 32.9 | 74.0 | 8 × 10−6 | 19.75 | < 0.0001 | 19.58 | < 0.0001 | − |
Df(1)y-ac22 | 83 | 4 | 18.2 | 76.9 | 6 × 10−8 | 28.74 | < 0.0001 | 28.39 | < 0.0001 | − |
y59b | 82 | 3 | 13.2 | 79.5 | 9 × 10−9 | 35.97 | < 0.0001 | 35.53 | < 0.0001 | − |
y−893 | 123 | 4 | 45.3 | 58.6 | 0.10 | 2.14 | 0.14 | 2.12 | 0.15 | + |
y2 | 139 | 5 | 51.3 | 47.6 | 0.73 | 0.19 | 0.66 | 0.19 | 0.67 | + |
y3P | 70 | 2 | 46.7 | 50.0 | 0.49 | 0.08 | 0.78 | 0.08 | 0.78 | + |
y−300gin | 126 | 4 | 46.8 | 48.4 | 0.50 | 0.04 | 0.85 | 0.04 | 0.85 | + |
ybl | 193 | 6 | 51.5 | 49.0 | 0.69 | 0.13 | 0.72 | 0.13 | 0.72 | + |
y−91 | 64 | 2 | 17.6 | 90.0 | 7 × 10−6 | 20.13 | < 0.0001 | 19.81 | < 0.0001 | − |
y3d | 174 | 6 | 23.5 | 73.0 | 4 × 10−11 | 42.64 | < 0.0001 | 42.32 | < 0.0001 | − |
y2S | 335 | 9 | 44.9 | 54.8 | 0.045 | 3.25 | 0.07 | 3.24 | 0.07 | − |
ya77 | 121 | 4 | 29.4 | 64.3 | 1 × 10−4 | 14.35 | < 0.0001 | 14.33 | 0.0001 | − |
yintronless | 166 | 5 | 51.4 | 52.2 | 0.52 | 0.01 | 0.92 | 0.01 | 0.92 | + |
y+660R | 88 | 2 | 45.8 | 55.0 | 0.26 | 0.73 | 0.39 | 0.73 | 0.39 | + |
y+1310 | 109 | 5 | 55.2 | 47.1 | 0.85 | 0.72 | 0.39 | 0.71 | 0.40 | + |
Total N is the sum of the number of experimental and matched-control flies analyzed across all trials.
One-sided Fisher's exact tests were performed because we expected a priori that the mating success of mutant males would either not change or be reduced. The P-value is the probability of the exact contingency table or a more extreme one in the same direction.
The P-values that are <0.05 are underlined, and P-values <0.10 but >0.05 are in italics.
All chi-square tests were performed with 2 × 2 contingency tables and 1 d.f. with a critical chi-square value of 3.841 for a 0.05 significance level.
The Mantel-Heanszel chi-square test is frequently used to analyze data tables in which one or more cells have low values. We utilized this as an additional test because low mating success of some y mutants occasionally resulted in low values for “success,” and/or very high mating success of some control males resulted in low values for “failure.”