Table 1.
Outliers in each data set (Smadja et al., Capture Sequencing and GoldenGate SNP genotyping), for genes present in all data sets, two data sets and just one data set each. Smadja et al. (2012) and Capture sequencing outliers with P < 0.05 Poisson probability of the observed or a greater number of SNP outliers given the number of SNPs in the gene and the overall proportion of outliers. Outliers from GoldenGate SNP genotyping are genes containing a SNP with a significant loading (q < 0.05) in PCAdapt
| Analysed in | |||
|---|---|---|---|
| All 3 data sets | 2 Data sets | 1 Data set | |
| Outliers in | |||
| All 3 data sets | Gr15, Or21, Or36 | ||
| Smadja et al.+ capture | Gr45, Or17 | Gr20, Gr47, Gr8, Or18, Or20 | |
| Smadja et al. + SNP | Rad51C | — | |
| Capture + SNP | Gr1, Gr2, Gr3, Gr33, Gr4, Gr6, Gr9 | ApisSNMP4_ref | |
| Smadja et al. only | Or29 | Gr39, Or11, Or13, Or14, Or15, Or51, Or56 | Gr59, Or6, Or61, Or62, Or73 |
| Capture only | Gr17, Gr31, Gr65, Gr68, Or22, Or32, Or7 | Gr10, Gr12, Gr19, Gr37, Gr42, Gr63, Gr66, OBP11, Or25, Or41, Or71, IR40a | Gr7, Gr74, OBP1, OBP4, ApisSNMP8_ref, IR8a |
| SNP only | Gr21, Gr25, Gr26, Or16, Or26, Or3, Or47 | Gr60, ApisSNMP3_ref | — |
| Never an outlier | 15 | 70 | 37 |