Table 2. Marker polymorphism and diversity parameters across studied IC populations in Rwanda.
Loci | MAF | NG | NA | NE | NPA | He | Ho | PIC | I | Fis | Fit | Fst | Nm | HWE pV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ADL0112 | 0.499 | 27 | 16 | 2.720 | 6 | 0.632 | 0.594 | 0.572 | 1.318 | 0.097 | 0.128 | 0.034 | 7.006 | 0.000 |
ADL0268 | 0.245 | 39 | 14 | 6.241 | 3 | 0.840 | 0.582 | 0.820 | 2.022 | 0.176 | 0.306 | 0.158 | 1.332 | 0.000 |
ADL0278 | 0.300 | 39 | 12 | 5.349 | 4 | 0.813 | 0.548 | 0.789 | 1.885 | 0.252 | 0.283 | 0.041 | 5.869 | 0.000 |
LEI0094 | 0.392 | 45 | 17 | 4.360 | 3 | 0.771 | 0.714 | 0.744 | 1.867 | 0.017 | 0.034 | 0.017 | 14.344 | 0.000 |
LEI0192 | 0.317 | 66 | 22 | 5.699 | 4 | 0.825 | 0.775 | 0.806 | 2.149 | -0.005 | 0.036 | 0.041 | 5.829 | 0.000 |
LEI0234 | 0.177 | 77 | 17 | 8.902 | 2 | 0.888 | 0.569 | 0.878 | 2.393 | 0.338 | 0.354 | 0.024 | 10.202 | 0.000 |
MCW0014 | 0.512 | 29 | 10 | 3.107 | 1 | 0.678 | 0.486 | 0.645 | 1.493 | 0.142 | 0.263 | 0.142 | 1.517 | 0.000 |
MCW0016 | 0.317 | 39 | 15 | 4.699 | 4 | 0.787 | 0.772 | 0.759 | 1.841 | 0.002 | 0.023 | 0.021 | 11.392 | 0.000 |
MCW0020 | 0.305 | 29 | 8 | 4.661 | 0 | 0.785 | 0.720 | 0.753 | 1.676 | 0.050 | 0.095 | 0.047 | 5.027 | 0.000 |
MCW0034 | 0.351 | 46 | 14 | 5.211 | 5 | 0.808 | 0.775 | 0.788 | 1.927 | -0.003 | 0.032 | 0.035 | 6.965 | 0.191 |
MCW0037 | 0.500 | 1 | 2 | 2.000 | 0 | 0.500 | 1.000 | 0.375 | 0.693 | -1.000 | -1.000 | 0.000 | 0.000 | |
MCW0067 | 0.395 | 31 | 11 | 3.573 | 1 | 0.720 | 0.680 | 0.679 | 1.622 | 0.038 | 0.137 | 0.103 | 2.181 | 0.000 |
MCW0069 | 0.339 | 26 | 10 | 3.671 | 0 | 0.728 | 0.739 | 0.680 | 1.503 | -0.011 | 0.028 | 0.038 | 6.309 | 0.104 |
MCW0078 | 0.766 | 11 | 5 | 1.650 | 0 | 0.394 | 0.369 | 0.372 | 0.820 | -0.006 | 0.006 | 0.011 | 21.491 | 0.015 |
MCW0081 | 0.494 | 42 | 11 | 3.001 | 1 | 0.667 | 0.560 | 0.622 | 1.483 | 0.126 | 0.156 | 0.034 | 7.140 | 0.000 |
MCW0098 | 0.465 | 27 | 9 | 2.571 | 1 | 0.611 | 0.523 | 0.535 | 1.176 | 0.105 | 0.170 | 0.072 | 3.212 | 0.000 |
MCW0103 | 0.708 | 9 | 6 | 1.736 | 2 | 0.424 | 0.375 | 0.349 | 0.693 | 0.131 | 0.160 | 0.033 | 7.343 | 0.000 |
MCW0104 | 0.489 | 43 | 18 | 3.271 | 4 | 0.694 | 0.649 | 0.662 | 1.701 | 0.066 | 0.096 | 0.033 | 7.385 | 0.000 |
MCW0111 | 0.595 | 21 | 8 | 2.440 | 0 | 0.590 | 0.483 | 0.550 | 1.226 | 0.110 | 0.141 | 0.035 | 6.800 | 0.000 |
MCW0123 | 0.523 | 38 | 14 | 3.103 | 3 | 0.678 | 0.640 | 0.650 | 1.568 | 0.015 | 0.031 | 0.016 | 15.002 | 0.000 |
MCW0165 | 0.635 | 7 | 4 | 1.924 | 0 | 0.480 | 0.302 | 0.386 | 0.755 | 0.325 | 0.341 | 0.024 | 10.050 | 0.000 |
MCW0183 | 0.292 | 34 | 11 | 5.516 | 3 | 0.819 | 0.659 | 0.796 | 1.873 | 0.119 | 0.189 | 0.080 | 2.885 | 0.000 |
MCW0206 | 0.394 | 24 | 9 | 3.992 | 2 | 0.750 | 0.699 | 0.714 | 1.583 | -0.004 | 0.044 | 0.048 | 5.000 | 0.000 |
MCW0222 | 0.400 | 11 | 6 | 2.972 | 2 | 0.664 | 0.646 | 0.600 | 1.210 | -0.030 | 0.023 | 0.051 | 4.641 | 0.000 |
MCW0248 | 0.679 | 6 | 4 | 1.816 | 1 | 0.449 | 0.492 | 0.366 | 0.713 | -0.236 | -0.185 | 0.041 | 5.864 | 0.344 |
MCW0284 | 0.368 | 29 | 8 | 3.900 | 0 | 0.744 | 0.689 | 0.706 | 1.620 | 0.050 | 0.117 | 0.070 | 3.321 | 0.000 |
MCW0295 | 0.465 | 34 | 13 | 3.482 | 3 | 0.713 | 0.579 | 0.680 | 1.632 | 0.131 | 0.214 | 0.096 | 2.341 | 0.000 |
MCW0330 | 0.302 | 26 | 11 | 5.376 | 5 | 0.814 | 0.615 | 0.790 | 1.827 | 0.147 | 0.281 | 0.157 | 1.339 | 0.000 |
Mean | 0.437 | 30.571 | 10.893 | 3.819 | 2.140 | 0.688 | 0.616 | 0.645 | 1.510 | 0.041 | 0.089 | 0.054 | 6.060 | |
Total | 305 | 60 |
MAF, major allele frequency; NG, number of genotypes; NA, number of alleles; NPA, number of private allele; Ne, number of effective alleles; I, Shannon's information index; He, expected heterozygosity; Ho, observed heterozygosity; PIC, polymorphic information content, Nm: number of migrants, F, inbreeding coefficient over all populations (FIS), among populations (FIT) and within populations (FST), HWE pV, Hardy-Weinberg equilibrium p-value based on chi square test (There is a deviation from HWE at p<0.05)