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According to the data on the Y-chromosome polymorphism, an assessment of the influence of two factors (tribal (clan) and administrative (kozhuuns) subdivision) on the structure of the gene pool of Tuvans is provided. The ten most common Tuvan clans (Ak, Baraan, Irgit, Kol, Kyrgyz, Mongush, Oorzhak, Oyun, Khertek, Choodu) are included in this analysis. They cover two-thirds of the total sample (N = 545) of Tuvans from six kozhuuns (Barun-Khemchiksky, Tandinsky, Tere-Kholsky, Todzhinsky, Chaa-Kholsky, Erzinsky). Genetic portraits of clans created on the basis of 52 SNP markers of the Y chromosome reveal the founder effect for all clans, except the two largest—Kyrgyz and Mongush. Making up one-third of the sample, these two clans are conglomerates. Analysis of molecular variance (AMOVA) indicates an equal degree of genetic separation of clans (5.2%) and kozhuuns (6.8%). But the Mantel test detects a high correlation (r = 0.50) between the genetic and clan structure against the low correlation (r = 0.25) between the genetic and geographical distances. The reason for the difference between the AMOVA and Mantel test lies in the fact that the four most numerous kozhuuns are “monoclan,” in which one clan prevails, and only two kozhuuns (Todzhinsky and Tere-Kholsky) include representatives of three different clans. The selection of the western and eastern clusters on the graph of multidimensional scaling fits in well with the anthropological data (Sayansky and Katangsky anthropological types), but does not confirm any of the ethnographic versions of the Tuvan ethnogenesis (“Samoyedic,” “Mongolian,” “Turkic”). The sum of results indicates that the tribal structure most fully reflects the architectonics of the Tuvan gene pool, and for this reason, it must be taken into account in population genetic research.

Ubykh people inhabited the area of what now is Greater Sochi, one time being neighbors of the Abkhaz and Adyghe. In 1864, after the Caucasian War, a small group of Ubykh survivors migrated to Turkey. The Ubykh language is a branch of the Northwest Caucasian (Abkhazo-Adyghe) languages, which is either placed in the Abkhaz or Adyghe subgroup or distinguished in a separate subgroup, according to various classifications. All this makes Ubykhs an important but genetically unexplored part of the gene pool of the Caucasus population. We collected an exclusive sample (N = 36) of Ubykh individuals, mainly from their diaspora in Turkey. Application of a high resolution panel of Y-chromosome markers (59 SNP and 17 STR) revealed the major West Caucasus haplogroup G2 (75% of the Ubykh population) and pan-Eurasian haplogroup R1a (19%). Within the G2 haplogroup, we identified 14 branches and genotyped 14 branch-defining markers. The frequencies of the same 14 markers in 19 other populations of the Caucasus were included for comparison. Both the genetic distances and the gene geographical map of the most frequent subhaplogroup (defined by the YY1215 marker at the GRCh37 position 8903699, comprising 50% of the Ubykh sample) revealed similarity of the Ubykh and Adyghe populations. Other Abkhaz-Adyghe-speaking populations appear to be at a greater genetic distance from the Ubykhs, similar to the distance to the Turkic-speaking groups of the North Caucasus. The Ossetian gene pool has little in common with Ubykhs, thus contradicting the hypothesis of the Alanian substrate in Ubykhs. Other populations of the Caucasus and Transcaucasia (of Nakh-Daghestanian and Kartvelian linguistic groups) do not show apparent genetic similarities to Ubykhs.

Prediction of eye and hair color from DNA is being increasingly employed in forensics and the studies of ancient populations. HIrisPlex-S is a prediction tool trained on the Dutch dataset and verified using a few other European populations. The accuracy of its predictions for other regions of the world has not been studied yet. Russian populations pose a special interest because, unlike the majority of world populations, their representatives can have not only dark but also light color eyes and hair. The aim of this work was to evaluate the accuracy of eye and hair color prediction in Russian populations. We recruited 144 representatives of indigenous peoples of Russia (Avar, Aleut, Buryat, Itelmen, Karelian, Koryak, Mari, Nanai, Russian, Rutulian, Chuvash, Chukchi, Evenk, and Even populations). All study participants were photographed. Eye and hair colors were identified from the anthropological images by anthropologists. The SNP markers included in the HIrisPlex system were genotyped. Phenotypes were predicted from the obtained genotypes and subsequently compared to the actual phenotypes. Quality metrics were calculated for HIrisPlex prediction accuracy in the populations of European Russia and Siberia. On the whole, HIrisPlex prediction accuracy was satisfactory, although a bit lower than in Western European datasets. Further research could focus on identifying additional markers to improve the accuracy of predictions in Russian populations.

Background Predicting the eye and hair color from genotype became an established and widely used tool in forensic genetics, as well as in studies of ancient human populations. However, the accuracy of this tool has been verified on the West and Central Europeans only, while populations from border regions between Europe and Asia (like Caucasus and Ural) also carry the light pigmentation phenotypes. Results We phenotyped 286 samples collected across North Eurasia, genotyped them by the standard HIrisPlex-S markers and found that predictive power in Caucasus/Ural/West Siberian populations is reasonable but lower than that in West Europeans. As these populations have genetic ancestries different from that of West Europeans, we hypothesized they may carry a somewhat different allele spectrum. Thus, for all samples we performed the exome sequencing additionally enriched with the 53 genes and intergenic regions known to be associated with the eye/hair color. Our association analysis replicated the importance of the key previously known SNPs but also identified five new markers whose eye color prediction power for the studied populations is compatible with the two major previously well-known SNPs. Four out of these five SNPs lie within the HERС2 gene and the fifth in the intergenic region. These SNPs are found at high frequencies in most studied populations. The released dataset of exomes from Russian populations can be further used for population genetic and medical genetic studies. Conclusions This study demonstrated that precision of the established systems for eye/hair color prediction from a genotype is slightly lower for the populations from the border regions between Europe and Asia that for the West Europeans. However, this precision can be improved if some newly revealed predictive SNPs are added into the panel. We discuss that the replication of these pigmentation-associated SNPs on the independent North Eurasian sample is needed in the future studies.

The demographic parameters and Y-chromosomal variation in the Ulchi population, an indigenous ethnic group of Khabarovsk krai, were studied. The demographic portrait was compiled using the data from the books of rural household accounting (7521 records, including 1562 on Ulchi). The structure of the gene pool was characterized for 45 SNP markers of the Y chromosome: 52 DNA samples were analyzed. The total number of Ulchi in the period between the censuses of 1926–2002 showed stable growth (723–2913 individuals) and slightly decreased by 2010 (2765 individuals). The study revealed an imbalance in the sex ratio (SR = 1 : 1.7) and the age structure close to the stationary type and providing a simple type of reproduction of the Ulchi. Analysis of the marital structure demonstrated a high rate of assimilation of the Ulchi by the Russian-speaking population dominant in all places of their compact settlement. Analysis for the SNP markers of the Y chromosomes (23 haplogroups were found) revealed a strong similarity of the Ulchi to the populations of the Amur River region and Okhotsk coast and a relative proximity to the Central Asian populations as given by haplogroup C. Genotyping of five new SNP markers within haplogroup C and 17 STR markers provided a correct phylogenetic analysis of haplogroup C in the Ulchi and neighboring peoples. It did not confirm the powerful gene drift in the Ulchi, which one might expect owing to their low effective size, likely because the Ulchi population was subdivided and thus managed to retain its diversity. However, this analysis revealed traces of intense interaction of the Ulchi with the peoples of the Far East and Central Asia over the past one to three thousand years. Therefore, the results of a recent study of the similarity of the ancient genomes of Primorye with the Ulchi indicate not the uniqueness of the Ulchi but the fact that this ancient gene pool was preserved in a vast milieu of populations of the Far East interlaced with gene flows both with each other and with populations of Central Asia.

We studied the Y-chromosome pool of the ethnic Russian population of Novgorod oblast (Russia) by 49 SNP and 17 STR markers. The total sample (N = 191) consists of four populations of the Novgorod region, including its southwestern (Shelon Pyatina) and eastern (Bezhetsk Pyatina) parts. Altogether, these four populations represent both the area of the Sopki archaeological culture (supposedly linked with the Novgorod Slovens tribe known from the chronicles) and the area of the Long Barrows culture (supposedly linked with the Krivichi Slavic tribe or with Balts). The pronounced genetic differences between southern and northern Russian populations are well known from previous studies; however, the Novgorod gene pool turned out to be neither northern nor southern, but a representative of the intermediate buffer zone. This zone was identified in this study and included a set of regional Russian populations from Pskov in the west to Kostroma in the east. All four studied populations of Novgorod region are genetically similar. The minor differences among them might represent the medieval Slavic migrations along the rivers, which survived despite the massive demographic shifts during the following history. Haplogroup N3 comprises one-fifth of the Novgorod pool of paternal lineages, with conditionally “Finnic” N3a4 and conditionally “East Baltic Sea Coast” N3a3 clades being almost equally frequent. The N3a3 phylogenetic network revealed the specific “Balto-Slavic” cluster of STR haplotypes, which is frequent in Baltic-speaking Lithuanians but infrequent in Finno-Ugric speaking Estonians. The Novgorod haplotypes lie outside this cluster, indicating that the Novgorod population received both N3a3 and N3a4 from Finno-Ugric speaking populations of the region, which, in turn, acquired the Mesolithic gene pool of the Northeastern Europe.

The Upper Volga region was an area of contacts of Finno-Ugric, Slavic, and Scandinavian speaking populations in the 8th–10th centuries AD. However, their role in the formation of the contemporary gene pool of the Russian population of the region is largely unknown. To answer this question, we studied four populations of Yaroslavl oblast (N = 132) by a wide panel of STR and SNP markers of the Y-chromosome. Two of the studied populations appear to be genetically similar: the indigenous Russian population of Yaroslavl oblast and population of Katskari are characterized by the same major haplogroup, R-M198 (xM458). Haplogroup R-M458 composes more than half of Sitskari’s gene pool. The major haplogroup in the gene pool of the population of the ancient town of Mologa is N-M178. Subtyping N-M178 by newest “genomeera” Y-SNP markers showed different pathways of entering this haplogroup into the gene pools of Yaroslavl Volga region populations. The majority of Russian populations have subvariant N3a3-CTS10760; the regular sample of Yaroslavl oblast is equally represented by subvariants N3a3-CTS10760 and N3a4-Z1936, while subvariant N3a4-Z1936 predominates in the gene pool of population of Mologa. This N3a4-Z1936 haplogroup is common among the population of the north of Eastern Europe and the Volga-Ural region. The obtained results indicate preservation of the Finno-Ugric component in the gene pool of population of Mologa and a contribution of Slavic colonization in the formation of the gene pool of the Yaroslavl Volga region populations and make it possible to hypothesize the genetic contribution of the “downstream” (Rostov- Suzdal) rather than “upstream” (Novgorod) Slavic migration wave.

Population biobanks are collections of thoroughly annotated biological material stored for many years. Population biobanks are a valuable resource for both basic science and applied research and are essential for extensive analysis of gene pools. Population biobanks make it possible to carry out fundamental studies of the genetic structure of populations, explore their genetic processes, and reconstruct their genetic history. The importance of biobanks for applied research is no less significant: they are essential for development of personalized medicine and genetic ecological monitoring of populations and are in high demand in forensic science. Establishment of an efficient and representative biobank requires strict observance of the principles of sample selection in populations, protocols of DNA extraction, quality control, and storage and documentation of biological materials. We reviewed regional biobanks and presented the organizational model of population biobank establishment based on the Biobank of Indigenous Population of Northern Eurasia created under supervision of E.V. Balanovska and O.P. Balanovsky. The results obtained using the biobanks in transdisciplinary research and prospective applications for the purposes of genogeography, genomic medicine, and forensic science are presented.

STR haplotypes of the Y chromosome are widely used as effective genetic markers in studies of human populations and in forensic DNA analysis. The task often arises to compare the spectrum of haplotypes in individuals or entire populations. Performing this task manually is too laborious and thus unrealistic. We propose an algorithm for counting similarity between STR haplotypes. This algorithm is suitable for massive analyses of samples. It is implemented in the computer program Haplomatch, which makes it possible to find haplotypes that differ from the target haplotype by 0, 1, 2, 3, or more mutational steps. The program may operate in two modes: comparison of individuals and comparison of populations. Flexibility of the program (the possibility of using any external database), its usability (MS Excel spreadsheets are used), and the capability of being applied to other chromosomes and other species could make this software a new useful tool in population genetics and forensic and genealogical studies. The Haplomatch software is freely available on our website www.genofond.ru. The program is applied to studying the gene pool of Cossacks. Experimental analysis of Y-chromosomal diversity in a representative set (N = 131) of Upper Don Cossacks is performed. Analysis of the STR haplotypes detects genetic proximity of Cossacks to East Slavic populations (in particular, to Southern and Central Russians, as well as to Ukrainians), which confirms the hypothesis of the origin of the Cossacks mainly due to immigration from Russia and Ukraine. Also, a small genetic influence of Turkicspeaking Nogais is found, probably caused by their occurrence in the Don Voisko as part of the Tatar layer. No similarities between haplotype spectra of Cossacks and Caucasus populations are found. This case study demonstrates the effectiveness of the Haplomatch software in analyzing large sets of STR haplotypes.

Siberian Tatars form the largest Turkic-speaking ethnic group in Western Siberia. The group has a complex hierarchical system of ethnographically diverse populations. Five subethnic groups of Tobol-Irtysh Siberian Tatars (N = 388 samples) have been analyzed for 50 informative Y-chromosomal SNPs. The subethnic groups have been found to be extremely genetically diverse (FST = 21%), so the Siberian Tatars form one of the strongly differentiated ethnic gene pools in Siberia and Central Asia. Every method employed in our studies indicates that different subethnic groups formed in different ways. The gene pool of Isker-Tobol Tatars descended from the local Siberian indigenous population and an intense, albeit relatively recent gene influx from Northeastern Europe. The gene pool of Yalutorovsky Tatars is determined by the Western Asian genetic component. The subethnic group of Siberian Bukhar Tatars is the closest to the gene pool of the Western Caucasus population. Ishtyak-Tokuz Tatars have preserved the genetic legacy of Paleo-Siberians, which connects them with populations from Southern, Western, and Central Siberia. The gene pool of the most isolated Zabolotny (Yaskolbinsky) Tatars is closest to Ugric peoples of Western Siberia and Samoyeds of the Northern Urals. Only two out of five Siberian Tatar groups studied show partial genetic similarity to other populations calling themselves Tatars: Isker-Tobol Siberian Tatars are slightly similar to Kazan Tatars, and Yalutorovsky Siberian Tatars, to Crimean Tatars. The approach based on the full sequencing of the Y chromosome reveals only a weak (2%) Central Asian genetic trace in the Siberian Tatar gene pool, dated to 900 years ago. Hence, the Mongolian hypothesis of the origin of Siberian Tatars is not supported in genetic perspective.

The territory of present-day Ukraine is subdivided into some regions with specific demographic and politic history. Nevertheless, the corresponding subdivision in genetic structure is not revealed in previous investigations: populations of Ukrainians under study were genetically homogeneous on SNP markers of Y chromosome. In the current investigation we studied the Y-chromosomal genetic structure of Transcarpathia and Bukovina populations. Several factors exist to expect the genetic specificity of these populations. Both ones are placed in the Carpathian foothills, at the south-western border of the Ukrainian area. During the last millennium these territories were the parts of different states and were open for ethnically diverse migrations. It was revealed that the major Y chromosomal haplogroups in Transcarpathia population were R1a1a1*(М198), I2a (Р37.2), R1a1a1g (М458), E1b1b1a1 (M78). The major haplogroups in Bukovina population were I2a (Р37.2), R1a1a1*(М198), R1a1a1g (М458), R1b1b2 (М269), E1b1b1a1 (M78), I1 (М253). The Bukovina population differs from the typical Ukrainian population by higher frequency of I2a (Р37.2) and lower frequency of R1a1a1*(М198). Moreover, this is the only population among ones studied in Ukraine where the most frequent haplogroup is I2a (Р37.2) but not R1a1a1*(М198). Such a deviation can be caused by possible mixing with neighbouring southern groups, and Carpathian mountains were not a border for exchange in this case. Interestingly, the haplogroup N1c (M178) is not revealed in Transcarpathia at all, obviously due to the mountain barrier. It was revealed by principal component analysis that Ukrainians from Transcarpathia and Bukovina despite some specific peculiarities are more similar to other Ukrainian populations than to the surrounding ethnic groups such as Poles, Slovaks, Hungarians, Romanians, Moldavians and Gagauzes. Ukrainians of Transcarpathia and Bukovina form the entire genetic continuum with the whole Ukraine on maps of gene distances, confirming the homogeneity of Ukrainian parental gene pool and it’s differentiation from other groups. After performing the analysis of Y-haplogroup spatial distribution, it is supposed that the northern ridges ofCarpathian mountainsare the East-European barrier decreasing the gene flow. It decreases the spreading of haplogroups N1c (М178) and R1a (М198) southward and movement of E1b (М78), R1b (М269), J (М304) and G (М201) northward.

The results of the study of Y-chromosomal polymorphisms of Russian and Ukrainian population are presented for Slobozhanshina--contemporary border region, former "Wild Field" boundary, which was inhabited in XVII-XVIII centuries by both the Russians from the north and Ukrainians from the west. In general, Ukrainian and Russian populations of Slobozhanshchina genetically are very close, their set and frequency range of Y-chromosome haplogroups are typical for the Eastern Europe. But a detailed analysis of highly informative Y-chromosome markers showed that after 3,5 centuries of coexistence on the same historical territory, the both nations retain the ethnic specificity of their gene pools: Ukrainian populations are similar to the rest of Ukraine, and Russian populations are similar to the south of the European part of Russia. The genetic differences may be due to the spatial characteristics of marriage migration and the predominant ethnic environment.

Multiple questions relating to contributions of cultural and demographical factors in the process of human geographical dispersal remain largely unanswered. India, a land of early human settlement and the resulting diversity is a good place to look for some of the answers. In this study, we explored the genetic structure of India using a diverse panel of 78 males genotyped using the GenoChip. Their genome-wide single-nucleotide polymorphism (SNP) diversity was examined in the context of various covariates that influence Indian gene pool. Admixture analysis of genome-wide SNP data showed high proportion of the Southwest Asian component in all of the Indian samples. Hierarchical clustering based on admixture proportions revealed seven distinct clusters correlating to geographical and linguistic affiliations. Convex hull overlay of Y-chromosomal haplogroups on the genome-wide SNP principal component analysis brought out distinct non-overlapping polygons of F*-M89, H*-M69, L1-M27, O2a-M95 and O3a3c1-M117, suggesting a male-mediated migration and expansion of the Indian gene pool. Lack of similar correlation with mitochondrial DNA clades indicated a shared genetic ancestry of females. We suggest that ancient male-mediated migratory events and settlement in various regional niches led to the present day scenario and peopling of India.

We conducted the first genetic analysis of a wide a range of rural Russian populations in European Russia with a panel of common DNA markers commonly used in criminalistics genetic identification. We examined a total of 647 samples from indigenous ethnic Russian populations in Arkhangelsk, Belgorod, Voronezh, Kursk, Rostov, Ryazan, and Orel regions. We employed a multiplex genotyping kit, COrDIS Plus, to genotype Short Tandem Repeat (STR) loci, which included the genetic marker panel officially recommended for DNA identification in the Russian Federation, the United States, and the European Union. In the course of our study, we created a database of allelic frequencies, examined the distribution of alleles and genotypes in seven rural Russian populations, and defined the genetic relationships between these populations. We found that, although multidimensional analysis indicated a difference between the Northern gene pool and the rest of the Russian European populations, a pairwise comparison using 19 STR markers among all populations did not reveal significant differences. This is in concordance with previous studies, which examined up to 12 STR markers of urban Russian populations. Therefore, the database of allelic frequencies created in this study can be applied for forensic examinations and DNA identification among the ethnic Russian population over European Russia. We also noted a decrease in the levels of heterozygosity in the northern Russian population compared to ethnic populations in southern and central Russia, which is consistent with trends identified previously using classical gene markers and analysis of mitochondrial DNA.

The area of what is now the Ukraine has been the arena of large-scale demographic processes that may have left their traces in the contemporary gene pool of Ukrainians. In this study, we present new mitochondrial DNA data for 607 Ukrainians (hypervariable segment I sequences and coding region polymorphisms). To study the maternal affinities of Ukrainians at the level of separate mitochondrial haplotypes, we apply an original technique, the haplotype co-occurrence analysis. About 20% of the Ukrainian maternal gene pool is represented by lineages highly specific to Ukrainians, but is scarcely found in other populations. About 9% of Ukrainian mtDNA lineages are typical for peoples of the Volga region. We also identified minor gene pool strata (1.6-3.3%), each of which is common in Lithuanians, Estonians, Saami, Nenets, Cornish, and the populations of the North Caucasus.

Y-chromosomal variation in West Asian populations has so far been studied in less detail than in the neighboring Europe. Here, we analyzed 598 Y-chromosomes from two West Asian subregions-Transcaucasia and the Armenian plateau-using 40 Y-SNPs and 17 Y-STRs and combined them with previously published data from the region. The West Asian populations fell into two clusters: upland populations from the Anatolian, Armenian and Iranian plateaus, and lowland populations from the Levant, Mesopotamia and the Arabian Peninsula. This geographic subdivision corresponds with the linguistic difference between Indo-European and Turkic speakers, on the one hand, and Semitic speakers, on the other. This subdivision could be traced back to the Neolithic epoch, when upland populations from the Anatolian and Iranian plateaus carried similar haplogroup spectra but did not overlap with lowland populations from the Levant. We also found that the initial gene pool of the Armenian motherland population has been well preserved in most groups of the Armenian Diaspora. In view of the contribution of West Asians to the autosomal gene pool of the steppe Yamnaya archaeological culture, we sequenced a large portion of the Y-chromosome in haplogroup R1b samples from present-day East European steppe populations. The ancient Yamnaya samples are located on the "eastern" R-GG400 branch of haplogroup R1b-L23, showing that the paternal descendants of the Yamnaya still live in the Pontic steppe and that the ancient Yamnaya population was not an important source of paternal lineages in present-day West Europeans.

Yu.P. Altukhov suggested that heterozygosity is an indicator of the state of the gene pool. The idea and a linked concept of genetic ecological monitoring were applied to a new dataset on mtDNA variation in East European ethnic groups. Haplotype diversity (an analog of the average heterozygosity) was shown to gradually decrease northwards. Since a similar trend is known for population density, interlinked changes were assumed for a set of parameters, which were ordered to form a causative chain: latitude increases, land productivity decreases, population density decreases, effective population size decreases, isolation of subpopulations increases, genetic drift increases, and mtDNA haplotype diversity decreases. An increase in genetic drift increases the random inbreeding rate and, consequently, the genetic load. This was confirmed by a significant correlation observed between the incidence of autosomal recessive hereditary diseases and mtDNA haplotype diversity. Based on the findings, mtDNA was assumed to provide an informative genetic system for genetic ecological monitoring; e.g., analyzing the ecology-driven changes in the gene pool.

We analyzed 40 single nucleotide polymorphism and 19 short tandem repeat Y-chromosomal markers in a large sample of 1,525 indigenous individuals from 14 populations in the Caucasus and 254 additional individuals representing potential source populations. We also employed a lexicostatistical approach to reconstruct the history of the languages of the North Caucasian family spoken by the Caucasus populations. We found a different major haplogroup to be prevalent in each of four sets of populations that occupy distinct geographic regions and belong to different linguistic branches. The haplogroup frequencies correlated with geography and, even more strongly, with language. Within haplogroups, a number of haplotype clusters were shown to be specific to individual populations and languages. The data suggested a direct origin of Caucasus male lineages from the Near East, followed by high levels of isolation, differentiation, and genetic drift in situ. Comparison of genetic and linguistic reconstructions covering the last few millennia showed striking correspondences between the topology and dates of the respective gene and language trees and with documented historical events. Overall, in the Caucasus region, unmatched levels of gene-language coevolution occurred within geographically isolated populations, probably due to its mountainous terrain.

For the first time, an analysis of five Alu insertion loci (ACE, APOA1, B65, PV92, TPA25) has been carried out in 10 Russian populations (1088 individuals) covering the whole historical area of the Russian ethnos. Depending on the locus, Russian populations exhibit similarity to their Western (European populations) or Eastern (populations of the Ural region) neighbors. Considering the frequencies of the studied Alu-insertions, the Russian gene pool exhibits low variation: average interpopulation variation (d) was 0.007, whereas on classical markers, mtDNA and Y chromosome, heterogeneity of the Russian gene pool is essentially higher (0.013, 0.033, 0.142, respectively). Therefore, on the intra-ethnic level, this set of five Alu insertions has low variation. However, a clear pattern was obtained in inter-ethnic comparison of 13 East European ethnic groups, which formed three clusters in accordance with their historical and geographical position: East Slavic, Caucasian and South Ural clusters. The obtained data confirm the efficiency of using Alu insertions for studying genetic differentiation and gene pool history of East European populations.

Data on the frequencies of all (50412) surnames in a total population of 849399 people have been treated by various methods of multivariate statistics (cluster analysis, multidimensional scaling, and factor analysis) to show that 22 district populations of the Central Chernozem region of Russia form a definite, ordered system of population groups. All raions (administrative districts) of Belgorod oblast (administrative region) have been grouped into four clusters corresponding to the actual geographic locations of the populations. Districts of the eastern cluster are characterized by very specific spectrum and frequencies of surnames; districts of the western cluster differ in a high proportion of Ukrainian surnames

The mean distance between birthplaces of spouses (σ, σ′), the proportion of medium migrations (k), and the effective migration pressure (Me) have considerably increased, and the linear systematic pressure coefficient (b) has decreased in the human population of the Central Chernozem region during the past 50 years. However, the local inbreeding level (a), which is determined by both an increase in the migration intensity and a decrease in the effective population size (Ne), has remained practically unchanged. A change in the regional administrative structure has affected the genetic structure of populations. In the 1950s, raions (administrative districts) of Kursk and Voronezh oblasts (regions) were similar with respect differentiation parameters, whereas the oblasts considerably differed from each other. At present, some Malecot’s isolation-by-distance parameters for the populations of the districts that were included to Belgorod oblast in 1954 are lower and similar to those for the districts that remain in Kursk and Voronezh oblasts.

Changes in the endogamy indices of district populations of the Central Chernozem region of Russia during the past 100 years were studied. The size of an elementary population in this region increased from that of a rural municipality in the mid-20th century to that of an administrative district in the late 20th century.

The frequencies and spectra of surnames have been analyzed in groups of raions (districts) of the Belgorod oblast (region) with different degrees of population subdivision. The “family name portraits” of districts with low (0.00003 < < f*r < 0.00022, \(\overline {f_r^ * } \) = 0.00015) and moderate (0.00023 < f*r < 0.00042, \(\overline {f_r^ * } \) = 0.00029) inbreeding levels are similar both to each other and to the “family name portrait” of the Belgorod oblast as a whole. Districts with high subdivision levels (0.00043 < f*r < 0.00125, \(\overline {f_r^ * } \) = 0.00072) had very distinctive surname spectra and the highest surname frequencies. Intense immigration to the Belgorod oblast significantly affects its population genetic structure, decreasing the population subdivision.

It has been often stated that the overall pattern of human maternal lineages in Europe is largely uniform. Yet this uniformity may also result from an insufficient depth and width of the phylogenetic analysis, in particular of the predominant western Eurasian haplogroup H that comprises nearly a half of the European mitochondrial DNA (mtDNA) pool. Making use of the coding sequence information from 267 mtDNA haplogroup (Hg) H sequences, we have analyzed 830 mtDNA genomes, from 11 European, Near and Middle Eastern, Central Asian and Altaian populations. In addition to the seven previously specified sub-haplogroups, we define fifteen novel sub-clades of Hg H present in the extant human populations of western Eurasia. The refinement of the phylogenetic resolution has allowed us to resolve a large number of homoplasies in phylogenetic trees of Hg H based on the first hypervariable segment (HVS-I) of mtDNA. As many as 50 out of 125 polymorphic positions in HVS-I were found to be mutated in more than one sub-cluster of Hg H. The phylogeographic analysis revealed that sub-Hgs H1(*), H1b, H1f, H2a, H3, H6a, H6b and H8 demonstrate distinct phylogeographic patterns. The monophyletic sub-haplogroups of Hg H provide means for further progress in the understanding of the (pre)historic movements of women in Eurasia and for the understanding of the present-day genetic diversity of western Eurasians in general.

Y-chromosomal haplogroup G1 is a minor component of the overall gene pool of South-West and Central Asia but reaches up to 80% frequency in some populations scattered within this area. We have genotyped the G1-defining marker M285 in 27 Eurasian populations (n= 5,346), analyzed 367 M285-positive samples using 17 Y-STRs, and sequenced ~11 Mb of the Y-chromosome in 20 of these samples to an average coverage of 67X. This allowed detailed phylogenetic reconstruction. We identified five branches, all with high geographical specificity: G1-L1323 in Kazakhs, the closely related G1-GG1 in Mongols, G1-GG265 in Armenians and its distant brother clade G1-GG162 in Bashkirs, and G1-GG362 in West Indians. The haplotype diversity, which decreased from West Iran to Central Asia, allows us to hypothesize that this rare haplogroup could have been carried by the expansion of Iranic speakers northwards to the Eurasian steppe and via founder effects became a predominant genetic component of some populations, including the Argyn tribe of the Kazakhs. The remarkable agreement between genetic and genealogical trees of Argyns allowed us to calibrate the molecular clock using a historical date (1405 AD) of the most recent common genealogical ancestor. The mutation rate for Y-chromosomal sequence data obtained was 0.78×10-9 per bp per year, falling within the range of published rates. The mutation rate for Y-chromosomal STRs was 0.0022 per locus per generation, very close to the so-called genealogical rate. The "clan-based" approach to estimating the mutation rate provides a third, middle way between direct farther-to-son comparisons and using archeologically known migrations, whose dates are subject to revision and of uncertain relationship to genetic events.

North East Europe harbors a high diversity of cultures and languages, suggesting a complex genetic history. Archaeological, anthropological, and genetic research has revealed a series of influences from Western and Eastern Eurasia in the past. While genetic data from modern-day populations is commonly used to make inferences about their origins and past migrations, ancient DNA provides a powerful test of such hypotheses by giving a snapshot of the past genetic diversity. In order to better understand the dynamics that have shaped the gene pool of North East Europeans, we generated and analyzed 34 mitochondrial genotypes from the skeletal remains of three archaeological sites in northwest Russia. These sites were dated to the Mesolithic and the Early Metal Age (7,500 and 3,500 uncalibrated years Before Present). We applied a suite of population genetic analyses (principal component analysis, genetic distance mapping, haplotype sharing analyses) and compared past demographic models through coalescent simulations using Bayesian Serial SimCoal and Approximate Bayesian Computation. Comparisons of genetic data from ancient and modern-day populations revealed significant changes in the mitochondrial makeup of North East Europeans through time. Mesolithic foragers showed high frequencies and diversity of haplogroups U (U2e, U4, U5a), a pattern observed previously in European hunter-gatherers from Iberia to Scandinavia. In contrast, the presence of mitochondrial DNA haplogroups C, D, and Z in Early Metal Age individuals suggested discontinuity with Mesolithic hunter-gatherers and genetic influx from central/eastern Siberia. We identified remarkable genetic dissimilarities between prehistoric and modern-day North East Europeans/Saami, which suggests an important role of post-Mesolithic migrations from Western Europe and subsequent population replacement/extinctions. This work demonstrates how ancient DNA can improve our understanding of human population movements across Eurasia. It contributes to the description of the spatio-temporal distribution of mitochondrial diversity and will be of significance for future reconstructions of the history of Europeans., Author Summary The history of human populations can be retraced by studying the archaeological and anthropological record, but also by examining the current distribution of genetic markers, such as the maternally inherited mitochondrial DNA. Ancient DNA research allows the retrieval of DNA from ancient skeletal remains and contributes to the reconstruction of the human population history through the comparison of ancient and present-day genetic data. Here, we analysed the mitochondrial DNA of prehistoric remains from archaeological sites dated to 7,500 and 3,500 years Before Present. These sites are located in North East Europe, a region that displays a significant cultural and linguistic diversity today but for which no ancient human DNA was available before. We show that prehistoric hunter-gatherers of North East Europe were genetically similar to other European foragers. We also detected a prehistoric genetic input from Siberia, followed by migrations from Western Europe into North East Europe. Our research contributes to the understanding of the origins and past dynamics of human population in Europe.

The Saami are regarded as extreme genetic outliers among European populations. In this study, a high-resolution phylogenetic analysis of Saami genetic heritage was undertaken in a comprehensive context, through use of maternally inherited mitochondrial DNA (mtDNA) and paternally inherited Y-chromosomal variation. DNA variants present in the Saami were compared with those found in Europe and Siberia, through use of both new and previously published data from 445 Saami and 17, 096 western Eurasian and Siberian mtDNA samples, as well as 127 Saami and 2, 840 western Eurasian and Siberian Y-chromosome samples. It was shown that the "Saami motif" variant of mtDNA haplogroup U5b is present in a large area outside Scandinavia. A detailed phylogeographic analysis of one of the predominant Saami mtDNA haplogroups, U5b1b, which also includes the lineages of the "Saami motif, " was undertaken in 31 populations. The results indicate that the origin of U5b1b, as for the other predominant Saami haplogroup, V, is most likely in western, rather than eastern, Europe. Furthermore, an additional haplogroup (H1) spread among the Saami was virtually absent in 781 Samoyed and Ob-Ugric Siberians but was present in western and central European populations. The Y-chromosomal variety in the Saami is also consistent with their European ancestry. It suggests that the large genetic separation of the Saami from other Europeans is best explained by assuming that the Saami are descendants of a narrow, distinctive subset of Europeans. In particular, no evidence of a significant directional gene flow from extant aboriginal Siberian populations into the haploid gene pools of the Saami was found.

The Slavic branch of the Balto-Slavic sub- family of Indo-European languages underwent rapid divergence as a result of the spatial expansion of its speakers from Central-East Europe, in early medieval times. This expansion–mainly to East Europe and the northern Balkans–resulted in the incorporation of genetic components from numerous autochthonous populations into the Slavic gene pools. Here, we characterize genetic variation in all extant ethnic groups speaking Balto- Slavic languages by analyzing mitochondrial DNA (n = 6, 876), Y-chromosomes (n = 6, 079) and genome-wide SNP profiles (n = 296), within the context of other European populations. We also reassess the phylogeny of Slavic languages within the Balto-Slavic branch of Indo- European. We find that genetic distances among Balto-Slavic populations, based on autosomal and Y-chromosomal loci, show a high correlation (0.9) both with each other and with geography, but a slightly lower correlation (0.7) with mitochondrial DNA and linguistic affiliation. The data suggest that genetic diversity of the present-day Slavs was predominantly shaped in situ, and we detect two different substrata: ‘central-east European’ for West and East Slavs, and ‘south-east European’ for South Slavs. A pattern of distribution of segments identical by descent between groups of East- West and South Slavs suggests shared ancestry or a modest gene flow between those two groups, which might derive from the historic spread of Slavic people.

The model of the Belgorod oblast population has been used to demonstrate different effects of administrative reforms on microevolution in human populations. For the populations that formerly belonged to Kursk oblast, changes in the regional administrative structure (after which some of them remained in Kursk oblast and others were included into Belgorod oblast) have lead to an increase in the genetic distances between them. However, other populations (formerly belonging to Voronezh oblast) have become genetically closer to one another, although these populations now belong to different administrative regions (Belgorod and Voronezh oblasts).