TABLE 3.
AFLP simulation results
True: | Balancing selection
|
Neutral
|
Directional selection
|
|||||||
---|---|---|---|---|---|---|---|---|---|---|
Classified: | Bal. | Neut. | Direc. | Bal. | Neut. | Direc. | Bal. | Neut. | Direc. | |
Pop-2 | 0 (0) | 100 (100) | 0 (0) | 0 (0) | 794 (788) | 6 (12) | 0 (0) | 70 (59) | 30 (41) | |
Pop-6a | 37 (60) | 63 (40) | 0 (0) | 20 (61) | 758 (702) | 22 (37) | 0 (0) | 29 (28) | 71 (72) | |
Pop-10 | 72 (81) | 28 (19) | 0 (0) | 21 (45) | 755 (721) | 24 (34) | 0 (0) | 21 (19) | 79 (81) | |
Pop-20 | 95 (97) | 5 (3) | 0 (0) | 26 (50) | 749 (709) | 25 (41) | 0 (0) | 14 (10) | 86 (90) | |
Fst-0.05 | 1 (14) | 99 (86) | 0 (0) | 0 (19) | 784 (752) | 16 (29) | 0 (0) | 33 (22) | 67 (78) | |
Fst-0.10 | 27 (49) | 73 (51) | 0 (0) | 17 (46) | 761 (712) | 22 (42) | 0 (0) | 26 (22) | 74 (78) | |
Fst-0.15a | 37 (60) | 63 (40) | 0 (0) | 20 (61) | 758 (702) | 22 (37) | 0 (0) | 29 (28) | 71 (72) | |
Fst-0.25 | 51 (67) | 49 (33) | 0 (0) | 23 (47) | 763 (724) | 14 (29) | 0 (0) | 30 (29) | 70 (71) | |
Size-15 | 15 (35) | 85 (65) | 0 (0) | 8 (33) | 776 (736) | 16 (31) | 0 (1) | 38 (32) | 62 (67) | |
Size-30a | 37 (60) | 63 (40) | 0 (0) | 20 (61) | 758 (702) | 22 (37) | 0 (0) | 29 (28) | 71 (72) | |
Size-50 | 47 (65) | 53 (35) | 0 (0) | 38 (65) | 734 (684) | 28 (51) | 0 (0) | 21 (17) | 79 (83) | |
Size-100 | 61 (73) | 39 (27) | 0 (0) | 40 (66) | 732 (688) | 28 (46) | 0 (0) | 19 (18) | 81 (82) | |
Fis-0 | 39 (59) | 61 (41) | 0 (0) | 23 (50) | 760 (722) | 17 (28) | 0 (0) | 29 (24) | 71 (76) | |
Fis-0.5a | 37 (60) | 63 (40) | 0 (0) | 20 (61) | 758 (702) | 22 (37) | 0 (0) | 29 (28) | 71 (72) | |
Fis-1 | 37 (57) | 63 (43) | 0 (0) | 25 (60) | 755 (703) | 20 (37) | 0 (0) | 25 (21) | 75 (79) |
Numbers of AFLP loci simulated under (“true”) balancing selection, neutrality, and directional selection that were classified in each category using a reversible-jump cutoff of 0.79 (0.69) that give false-positive rates of 5% (10%) are shown. Bal., balancing selection; Neut., neutrality; Direc., directional selection.
These data sets represent the same reference data set that is replicated in the table to make comparisons between results.