Dear colleagues,

for my last manuscript I calculated the outliers from Fst values using Mcheza (basically LOSITAN for dominant markers, using DFDIST). The reviewers asked to verify the outliers using Bayesian methods. I did the re-calculation with BayeScan as it was mentioned by the reviewers.  The total amount of detected outliers was slightly less using BayeScan (24 vs. 28, out of 284 loci). But, while almost all outliers apparently under positive selection were identified with both approaches (14 out of 17), none of the outliers under apparent balancing selection identified in Mcheza (11) were identified in BayeScan (7) and vice versa. I assumed, that the Bayesian approach should be more conservative and identify less outlying loci. I did not expect a completely different set for loci under balancing selection. Especially, when the set of loci under positive selection is almost identical. Any idea about how that might have happened or how to interpret it?

Thanks in advance!!!

Regards,

Klaus