Lack of geographic variation in Y-chromosomal introns of red deer (Cervus elaphus)

Intra-specific Y-chromosomal sequence variation is useful for analysing the male contribution to a species’ spatial genetic structure. In red deer (Cervus elaphus) this is especially relevant, because geographic dispersal and game translocations occur mainly through the males. However, Y-chromosomal markers for wild organisms are scarce and frequently non-polymorphic within species. We assessed the intra-specific variation of two Y-chromosomal introns in red deer, one in the DBY (or DDX3Y) gene and the other in the UBE1Y gene. The introns were amplified using previously published exonic primers and directly sequenced in individuals of five red deer subspecies from across Eurasia. However, no nucleotide polymorphism was observed, which rebuts the usefulness of these introns for studies of red deer phylogeography and on illegal transport of red deer within this region. Male-based phylogeographic studies should thus be focused on other Y-chromosomal markers for this species.

Transferability of environmental favourability models in geographic space: The case of the Iberian desman (Galemys pyrenaicus) in Portugal and Spain

Transferring distribution models between different geographical areas may be problematic, as the performance of models outside their original scope is hard to predict. A modelling procedure is needed that gets the gist of the environmental descriptors of a distribution area, without either overfitting to the training data or overestimating the species’ distribution potential.We tested the transferability power of the favourability function, a generalized linear model, on the distribution of the Iberian desman (Galemys pyrenaicus) in the Iberian territories of Portugal and Spain.We also tested the effects of two of the main potential constraints on model transferability: the analysed ranges of the predictor variables, and the completeness of the species distribution data. We modelled 10 km×10km presence/absence data from Portugal and Spain separately, extrapolated each model to the other country, and compared predictions with observations. The Spanish model, despite arguably containing more false absences, showed good predictive ability in Portugal. The Portuguese model, whose predictors ranged between only a subset of the values observed in Spain, overestimated desman distribution when transferred.We discuss possible reasons for this differential model behaviour, and highlight the importance of this kind of models for prediction and conservation applications