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Partner specificity is a well‐documented phenomenon in biotic interactions, yet the factors that determine specificity in plant‐fungal associations remain largely unknown. By utilizing composite soil samples, we identified the predictors that drive partner specificity in both plants and fungi, with a particular focus on ectomycorrhizal associations. Fungal guilds exhibited significant differences in overall partner preference and avoidance, richness, and specificity to specific tree genera. The highest level of specificity was observed in root endophytic and ectomycorrhizal associations, while the lowest was found in arbuscular mycorrhizal associations. The majority of ectomycorrhizal fungal species showed a preference for one of their partner trees, primarily at the plant genus level. Specialist ectomycorrhizal fungi were dominant in belowground communities in terms of species richness and relative abundance. Moreover, all tree genera (and occasionally species) demonstrated a preference for certain fungal groups. Partner specificity was not related to the rarity of fungi or plants or environmental conditions, except for soil pH. Depending on the partner tree genus, specific fungi became more prevalent and relatively more abundant with increasing stand age, tree dominance, and soil pH conditions optimal for the partner tree genus. The richness of partner tree species and increased evenness of ectomycorrhizal fungi in multi‐host communities enhanced the species richness of ectomycorrhizal fungi. However, it was primarily the partner‐generalist fungi that contributed to the high diversity of ectomycorrhizal fungi in mixed forests. [ABSTRACT FROM AUTHOR]

ABSTRACT The grey wolf ( Canis lupus) is an iconic large carnivore that has increasingly been recognized as an apex predator with intrinsic value and a keystone species. However, wolves have also long represented a primary source of human-carnivore conflict, which has led to long-term persecution of wolves, resulting in a significant decrease in their numbers, genetic diversity and gene flow between populations. For more effective protection and management of wolf populations in Europe, robust scientific evidence is crucial. This review serves as an analytical summary of the main findings from wolf population genetic studies in Europe, covering major studies from the 'pre-genomic era' and the first insights of the 'genomics era'. We analyse, summarize and discuss findings derived from analyses of three compartments of the mammalian genome with different inheritance modes: maternal (mitochondrial DNA), paternal ( Y chromosome) and biparental [autosomal microsatellites and single nucleotide polymorphisms ( SNPs)]. To describe large-scale trends and patterns of genetic variation in European wolf populations, we conducted a meta-analysis based on the results of previous microsatellite studies and also included new data, covering all 19 European countries for which wolf genetic information is available: Norway, Sweden, Finland, Estonia, Latvia, Lithuania, Poland, Czech Republic, Slovakia, Germany, Belarus, Russia, Italy, Croatia, Bulgaria, Bosnia and Herzegovina, Greece, Spain and Portugal. We compared different indices of genetic diversity in wolf populations and found a significant spatial trend in heterozygosity across Europe from south-west (lowest genetic diversity) to north-east (highest). The range of spatial autocorrelation calculated on the basis of three characteristics of genetic diversity was 650−850 km, suggesting that the genetic diversity of a given wolf population can be influenced by populations up to 850 km away. As an important outcome of this synthesis, we discuss the most pressing issues threatening wolf populations in Europe, highlight important gaps in current knowledge, suggest solutions to overcome these limitations, and provide recommendations for science-based wolf conservation and management at regional and Europe-wide scales. [ABSTRACT FROM AUTHOR]

Latvia is at the northern border of the species range of S. alba L. in Europe, and there has been some debate whether the Latvian populations of S. alba are autochthonous, as this species has long been planted in Latvia as an ornamental tree in gardens, parks and roadsides. In addition, there is increasing interest in the use of several Salix species (including S. alba) as bioenergy crops. Natural S. alba stands throughout Latvia, as well as stands of possibly hybrid origin were analysed using nuclear and chloroplast markers. Our results showed that S. alba populations are probably natural, and that the rate of vegetative reproduction is low, supporting the evidence that Latvia is within the natural range of S. alba. These results provide the basis for the identification of possibly introduced or artificially regenerated stands of S.alba in Latvia. In addition, our results confirm that S. alba hybridises with S. fragilis, and that natural stands including hybrid individuals can be established. The analysis of chloroplast markers indicated that the predominant hybridisation occurs by fertilisation of S. fragilis by S. alba pollen; however, the extent of haplotype sharing between these two species should be further investigated. [ABSTRACT FROM AUTHOR]

Traditionally, simple sequence repeat (SSR) markers have been developed from libraries of genomic DNA. However, the large, repetitive nature of conifer genomes makes development of robust, single-copy SSR markers from genomic DNA difficult. Expressed sequence tags (ESTs), or sequences of messenger RNA, offer the opportunity to exploit single, low-copy, conserved sequence motifs for SSR development. From a 20,275-unigene spruce EST set, we identified 44 candidate EST-SSR markers. Of these, 25 amplified and were polymorphic in white, Sitka, and black spruce; 20 amplified in all 23 spruce species tested; the remaining five amplified in all except one species. In addition, 101 previously described spruce SSRs (mostly developed from genomic DNA), were tested. Of these, 17 amplified across white, Sitka, and black spruce. The 25 EST-SSRs had approximately 9% less heterozygosity than the 17 genomic-derived SSRs (meanH=0.65 vs 0.72), but appeared to have less null alleles, as evidenced by much lower apparent inbreeding (meanF=0.046 vs 0.126). These robust SSRs are of particular use in comparative studies, and as the EST-SSRs are within the expressed portion of the genome, they are more likely to be associated with a particular gene of interest, improving their utility for quantitative trait loci mapping and allowing detection of selective sweeps at specific genes. [ABSTRACT FROM AUTHOR]