First Insight Into Genetic Diversity of Alpine ibex (Capra ibex) in Slovenia

In Europe, the Alpine ibex (Capra ibex) was on the brink of extinction in the 19th century. Therefore, different conservation measures were implemented, and several reintroductions were made in the Alpine arc, starting from the only surviving population in Gran Paradiso, Italy. An extreme historical bottleneck and additional reintroductions have strongly shaped the genetic make-up of recent populations, resulting in significant genetic drift and profound inbreeding across the species range. To support science-based conservation actions, molecular methods have been increasingly used. However, such analyses did not include populations in Slovenia.We analysed neutral loci (partial fragment of mitochondrial cytochrome b, mtDNA) and the adaptive major histocompatibility complex (MHC DRB exon 2) of the Alpine ibex from both Slovenian populations (Julian and Kamnik-Savinja Alps) to understand how past reintroductions and recent management have affected the genetic diversity of the species. Results showed that both populations are genetically severely depleted, carrying only one mtDNA haplotype and one functional allele for MHC DRB exon 2, Caib-DRB*01. This calls for further conservation actions, including the reintroduction of individuals with different genetic background. However, the Alpine ibex is currently considered a non-native species in Slovenia, which makes conservation actions extremely difficult and threatens the longterm survival of the species. Therefore, scientists and population managers are urging policy/decision makers to change the status of the species to the native one and consequently to allow reintroductions. These appeals are supported by previous archaeological data on the existence of bones assigned to Alpine ibex in the Julian Alps, and evidence of severe genetic depletion in current ibex populations confirmed in this study

Next-generation phylogeography resolves post-glacial colonization patterns in a widespread carnivore, the red fox (Vulpes vulpes), in Europe

Carnivores tend to exhibit a lack of (or less pronounced) genetic structure at continental scales in both a geographic and temporal sense using various mitochondrial DNA markers on modern and/or ancient specimens. This tends to confound the identification of refugial areas and post-glacial colonization patterns in this group. In this study we used Genotyping-by-Sequencing (GBS) to reconstruct the phylogeographic history of a widespread carnivore, the red fox (Vulpes vulpes), in Europe by investigating broad-scale patterns of genomic variation, differentiation and admixture amongst contemporary populations. Using 15,003 single nucleotide polymorphisms (SNPs) from 524 individuals allowed us to identify the importance of refugial regions for the red fox in terms of endemism (e.g. Iberia) and sources of post-glacial re-expansion (e.g. Carpathians and Balkans) across northern regions of the continent. In addition, we tested multiple post-glacial re-colonization scenarios of previously glaciated regions during the Last Glacial Maximum using an Approximate Bayesian Computation (ABC) approach. We identified the role of ancient and temporary land-bridges in the colonization of Scandinavia and the British Isles, with a natural colonization of Ireland deemed more likely than an ancient human-mediated introduction as has previously been proposed. Using genome-wide data has allowed us to tease apart broad-scale patterns of structure and diversity in a widespread carnivore in Europe that was not always evident from using more limited marker sets

Modelling spatial patterns of correlations between concentrations of heavy metals in mosses and atmospheric deposition in 2010 across Europe

Background: This paper aims to investigate the correlations between the concentrations of nine heavy metals in moss and atmospheric deposition within ecological land classes covering Europe. Additionally, it is examined to what extent the statistical relations are affected by the land use around the moss sampling sites. Based on moss data collected in 2010/2011 throughout Europe and data on total atmospheric deposition modelled by two chemical transport models (EMEP MSC-E, LOTOS-EUROS), correlation coefficients between concentrations of heavy metals in moss and in modelled atmospheric deposition were specified for spatial subsamples defined by ecological land classes of Europe (ELCE) as a spatial reference system. Linear discriminant analysis (LDA) and logistic regression (LR) were then used to separate moss sampling sites regarding their contribution to the strength of correlation considering the areal percentage of urban, agricultural and forestry land use around the sampling location. After verification LDA models by LR, LDA models were used to transform spatial information on the land use to maps of potential correlation levels, applicable for future network planning in the European Moss Survey. Results: Correlations between concentrations of heavy metals in moss and in modelled atmospheric deposition were found to be specific for elements and ELCE units. Land use around the sampling sites mainly influences the correlation level. Small radiuses around the sampling sites examined (5 km) are more relevant for Cd, Cu, Ni, and Zn, while the areal percentage of urban and agricultural land use within large radiuses (75–100 km) is more relevant for As, Cr, Hg, Pb, and V. Most valid LDA models pattern with error rates of < 40% were found for As, Cr, Cu, Hg, Pb, and V. Land use-dependent predictions of spatial patterns split up Europe into investigation areas revealing potentially high (= above-average) or low (= below-average) correlation coefficients. Conclusions: LDA is an eligible method identifying and ranking boundary conditions of correlations between atmospheric deposition and respective concentrations of heavy metals in moss and related mapping considering the influence of the land use around moss sampling sites.© The Author(s) 201