In order to carry out activities aimed at conservation and rational use of forest resources; it is necessary to study the main forest-forming plant species in detail. Scots pine (Pinus sylvestris L., Pinaceae) is mainly found in the boreal forests of Eurasia and is not so often encountered in the east of the East European Plain. The aim of the study was to study the genetic diversity, structure and differentiation of Scots pine populations in the east of the East European Plain. We studied ten populations of P. sylvestris using the Inter Simple Sequence Repeats (ISSR)-based DNA polymorphism detection method. Natural populations are demonstrated by relatively high rates of genetic diversity (He = 0.167; n_e = 1.279; I = 0.253). At the same time, there is a tendency for a decrease in the genetic diversity of the studied populations of P. sylvestris from west to east. Analysis of the genetic structure shows that the studied populations are highly differentiated (G_ST = 0.439), the intrapopulation component accounts for about 56% of the genetic diversity. Using various algorithms for determining the spatial genetic structure, it is found that the studied populations form two groups of populations in accordance with geographic location. With the help of a genetic originality coefficient, populations with specific and typical gene pools are identified. They are recommended as sources of genetic diversity and reserves for the conservation of genetic resources of the species.

The Ural Mountains and the West Eurasian Taiga forests are one of the most important centers of genetic diversity for Larix sibirica Ledeb. Forest fragmentation negatively impacts forest ecosystems, especially due to the impact of their intensive use on the effects of climate change. For the preservation and rational use of forest genetic resources, it is necessary to carefully investigate the genetic diversity of the main forest-forming plant species. The Larix genus species are among the most widespread woody plants in the world. The Siberian larch (Larix sibirica, Pinaceae) is found in the forest, forest-tundra, tundra (Southern part), and forest-steppe zones of the North, Northeast, and partly East of the European part of Russia and in Western and Eastern Siberia; in the Urals, the Siberian larch is distributed fragmentarily. In this study, eight pairs of simple sequence repeat (SSR) primers were used to analyse the genetic diversity and population structure of 15 Siberian larch populations in the Urals. Natural populations in the Urals exhibit indicators of genetic diversity comparable to those of Siberia populations (expected heterozygosity, He = 0.623; expected number of alleles, Ne = 4017; observed heterozygosity, Ho = 0.461). Genetic structure analysis revealed that the examined populations are relatively highly differentiated (Fst = 0.089). Using various algorithms for determining the spatial genetic structure, the examined populations formed three groups according to geographical location. The data obtained are required for the development of species conservation and restoration programs, which are especially important in the Middle Urals, which is the region with strong forest fragmentation.

The objectives of conservation and sustainable forest management require in depth study of genomes of woody plants and definition of their intraspecific genetic diversity. In recent years, an approach was developed based on the study of “candidate genes” that can potentially be involved in the formation of adaptive traits. In this study, we investigated nucleotide polymorphism of several adaptive candidate genes in the populations of Siberian larch (Larix sibirica Ledeb.) in the Urals. Representatives of this genus are among the most valuable and widely distributed forest tree species in Russia. From ten selected gene loci in the genome of L. sibirica, we isolated and investigated three loci, one of which (ABA-WDS) was sequenced in L. sibirica for the first time. The total length of the analyzed sequence in each individual amounted to 2865 bp. The length of locus alignment was from 360 bp to 1395 bp. In total, we identified 200 polymorphic positions. The most conservative is locus 4CL1-363, and the most polymorphic is locus sSPcDFD040B03103-274. The studied populations of L. sibirica are characterized by a high level of nucleotide polymorphism in comparison with other species and genuses (Picea, Pinus, Pseudotsuga, Abies) conifers plants (Hd = 0.896; π = 0.007; θ_W = 0.015). The most selectively neutral polymorphism (D_T =–0.997) was attributed to locus 4CL1-363, and polymorphism with high probability of adaptability (D_T =–1.807) was determined for the ABA-WDS locus. We identified 54 SNP markers, only five of which were nonsynonymous (9.26%) replacements. The average frequency of SNPs in the three studied loci of L. sibirica was one SNP in 53 bp. We detected unique SNP markers for eight populations, which could potentially be used to identify populations. Populations that are characterized by the highest number of unique SNP markers can be recommended for selection in order to preserve the gene pool of the species.

Researched 3 Scots pine populations (Pinus sylvestris L., Pinaceae) and 3 populations of western species of Siberian larch (Larix sibirica Ledeb., Pinaceae) in Perm krai for genetic diversity within species detecting. 114 ISSR–PCR P. sylvestris markers and 116 ISSR–PCR L. sibirica markers were amplified. The rate of polymorphic loci expected heterozygosity and number of rare ISSR–PCR markers were identified. Researched species are characterized by high genetic diversity. The rate of polymorphic loci is higher in P. sylvestris; expected heterozygosity and the number of effective alleles is higher in L. sibirica. Each species has populations with high and low genetic diversity parameters. The rare alleles were identified in every of 6 researched populations, but the number ranges from 6 to 13 in P. sylvestris populations and from 3 to 10 in L. sibirica populations. Genetic structure of researched populations analysis show that the interpopulation component of genetic diversity accounts for 30.28% in P. sylvestris and 30.92% in L. sibirica; most of the genetic diversity of P. sylvestris (69, 72%) and L. sibirica (69.08%) is concentrated within populations. Generic markers were found for the genus Pinus and Larix, and species markers for P. sylvestris and L. sibirica. Identification polymorphic markers or their combinations typical for the studied populations of two studied species. The molecular genetic formulas and barcodes of the studied populations are composed. Data on the intraspecific genetic diversity of populations of woody plants of the Perm krai will allow to recommend measures of their conservation, as well as to carry out molecular genetic identification of both natural populations and wood from these populations, which is important for determining the legality of its harvesting.

10 pairs of primers from 8 related Pinus sylvestris L. populations collected on East-European plain to 10 genes and 4 primer’s pairs to 4 loci of uncoding clDNA regions. 2 loci of uncoding clDNA regions (psbA-trnH, trnL-trnF) were selected from tested 14 primer’s pairs. These two loci are most polymorphic and has homologous consistencies in data bases. Therefore, these loci is recommended for molecular–genetic identification of related Pinus sylvestris L. populations on East–European plain.

Background/Objectives: The spruces of the Picea abies–P. obovata complex have a total range that is the most extensive in the world flora of woody conifers. Hybridization between the nominative species has led to the formation of a wide introgression zone, which probably increases the adaptive potential of the entire species complex. This study aimed to search the genes associated with drought resistance, develop primers for the informative loci of these genes, identify and analyze SNPs, and establish the parameters of nucleotide diversity in the studied populations. Methods: The objects of this study were eight natural populations of the spruce complex in the Urals. Nucleotide sequences related to drought resistance spruce genes with pronounced single-nucleotide substitutions were selected, based on which 16 pairs of primers to their loci were developed and tested. Results: Based on the developed primers, six pairs of primers were chosen to identify SNPs and assess the nucleotide diversity of the studied populations. All selected loci were highly polymorphic (6 to 27 SNPs per locus). It was found that the Pic01 locus is the most variable (Hd = 0.947; π = 0.011) and selectively neutral, and the Pic06 locus is the most conservative (Hd = 0.516; π = 0.002) and has the most significant adaptive value. Conclusions: The nucleotide diversity data for the studied populations reveal similar values among the populations and are consistent with the literature data. The discovered SNPs can be used to identify adaptive genetic changes in spruce populations, which is essential for predicting the effects of climate change.