Variability of short tandem repeats on the human Y chromosome

Nine rare (biallelic) mutations and six short tandem repeats (STR) mapping to the nonrecombining portion of the Y chromosome were genotyped in 734 males from different geographical regions inhabited by the contemporary Armenian population. The analysis of molecular variance (AMOVA) showed that 48.9% of total STR genetic variation was explained by the differences between the haplogroups isolated based on biallelic polymorphism, whereas only 1.3% of genetic variation could be attributed to the differences between the geographic groups.     

Variation in short tandem repeats is deeply structured by genetic background on the human Y chromosome

Eleven biallelic polymorphisms and seven short-tandem-repeat (STR) loci mapping on the nonrecombining portion of the human Y chromosome have been typed in men from northwestern Africa. Analysis of the biallelic markers, which represent probable unique events in human evolution, allowed us to characterize the stable backgrounds or haplogroups of Y chromosomes that prevail in this geographic region. Variation in the more rapidly mutating genetic markers (STRs) has been used both to estimate the time to the most recent common ancestor for STR variability within these stable backgrounds and to explore whether STR differentiation among haplogroups still retains information about their phylogeny. When analysis of molecular variance was used to study the apportionment of STR variation among both genetic backgrounds (i.e., those defined by haplogroups) and population backgrounds, we found STR variability to be clearly structured by haplogroups. More than 80% of the genetic variance was found among haplogroups, whereas only 3.72% of the genetic variation could be attributed to differences among populations-that is, genetic variability appears to be much more structured by lineage than by population. This was confirmed when two population samples from the Iberian Peninsula were added to the analysis. The deep structure of the genetic variation in old genealogical units (haplogroups) challenges a population-based perspective in the comprehension of human genome diversity. A population may be better understood as an association of lineages from a deep and population-independent gene genealogy, rather than as a complete evolutionary unit.     

Y-chromosome variation in Altaian Kazakhs reveals a common paternal gene pool for Kazakhs and the influence of Mongolian expansions

Kazakh populations have traditionally lived as nomadic pastoralists that seasonally migrate across the steppe and surrounding mountain ranges in Kazakhstan and southern Siberia. To clarify their population history from a paternal perspective, we analyzed the non-recombining portion of the Y-chromosome from Kazakh populations living in southern Altai Republic, Russia, using a high-resolution analysis of 60 biallelic markers and 17 STRs. We noted distinct differences in the patterns of genetic variation between maternal and paternal genetic systems in the Altaian Kazakhs. While they possess a variety of East and West Eurasian mtDNA haplogroups, only three East Eurasian paternal haplogroups appear at significant frequencies (C3*, C3c and O3a3c*). In addition, the Y-STR data revealed low genetic diversity within these lineages. Analysis of the combined biallelic and STR data also demonstrated genetic differences among Kazakh populations from across Central Asia. The observed differences between Altaian Kazakhs and indigenous Kazakhs were not the result of admixture between Altaian Kazakhs and indigenous Altaians. Overall, the shared paternal ancestry of Kazakhs differentiates them from other Central Asian populations. In addition, all of them showed evidence of genetic influence by the 13(th) century CE Mongol Empire. Ultimately, the social and cultural traditions of the Kazakhs shaped their current pattern of genetic variation.     

Minimal sharing of Y-chromosome STR haplotypes among five endogamous population groups from western and southwestern India

We attempt to address the issue of genetic variation and the pattern of male gene flow among and between five Indian population groups of two different geographic and linguistic affiliations using Y-chromosome markers. We studied 221 males at three Y-chromosome biallelic loci and 184 males for the five Y-chromosome STRs. We observed 111 Y-chromosome STR haplotypes. An analysis of molecular variance (AMOVA) based on Y-chromosome STRs showed that the variation observed between the population groups belonging to two major regions (western and southwestern India) was 0.17%, which was significantly lower than the level of genetic variance among the five populations (0.59%) considered as a single group. Combined haplotype analysis of the five STRs and the biallelic locus 92R7 revealed minimal sharing of haplotypes among these five ethnic groups, irrespective of the similar origin of the linguistic and geographic affiliations; this minimal sharing indicates restricted male gene flow. As a consequence, most of the haplotypes were population specific. Network analysis showed that the haplotypes, which were shared between the populations, seem to have originated from different mutational pathways at different loci. Biallelic markers showed that all five ethnic groups have a similar ancestral origin despite their geographic and linguistic diversity.     

Population relationships in the Mediterranean revealed by autosomal genetic data (Alu and Alu/STR compound systems)

The variation of 18 Alu polymorphisms and 3 linked STRs was determined in 1,831 individuals from 15 Mediterranean populations to analyze the relationships between human groups in this geographical region and provide a complementary perspective to information from studies based on uniparental markers. Patterns of population diversity revealed by the two kinds of markers examined were different from one another, likely in relation to their different mutation rates. Therefore, while the Alu biallelic variation underlies general heterogeneity throughout the whole Mediterranean region, the combined use of Alu and STR points to a considerable genetic differentiation between the two Mediterranean shores, presumably strengthened by a considerable sub‐Saharan African genetic contribution in North Africa (around 13% calculated from Alu markers). Gene flow analysis confirms the permeability of the Sahara to human passage along with the existence of trans‐Mediterranean interchanges. Two specific Alu/STR combinations—CD4 110(?) and DM 107(?)—detected in all North African samples, the Iberian Peninsula, Greece, Turkey, and some Mediterranean islands suggest an ancient genetic background of current Mediterranean peoples. Am J Phys Anthropol 2010. © 2009 Wiley‐Liss, Inc.     

Regional differences among the Finns: a Y-chromosomal perspective

Twenty-two Y-chromosomal markers, consisting of fourteen biallelic markers (YAP/DYS287, M170, M253, P37, M223, 12f2, M9, P43, Tat, 92R7, P36, SRY-1532, M17, P25) and eight STRs (DYS19, DYS385a/b, DYS388, DYS389I/II, DYS390, DYS391, DYS392, DYS393), were analyzed in 536 unrelated Finnish males from eastern and western subpopulations of Finland. The aim of the study was to analyze regional differences in genetic variation within the country, and to analyze the population history of the Finns. Our results gave further support to the existence of a sharp genetic border between eastern and western Finns so far observed exclusively in Y-chromosomal variation. Both biallelic haplogroup and STR haplotype networks showed bifurcated structures, and similar clustering was evident in haplogroup and haplotype frequencies and genetic distances. These results suggest that the western and eastern parts of the country have been subject to partly different population histories, which is also supported by earlier archaeological, historical and genetic data. It seems probable that early migrations from Finno-Ugric sources affected the whole country, whereas subsequent migrations from Scandinavia had an impact mainly on the western parts of the country. The contacts between Finland and neighboring Finno-Ugric, Scandinavian and Baltic regions are evident. However, there is no support for recent migrations from Siberia and Central Europe. Our results emphasize the importance of incorporating Y-chromosomal data to reveal the population substructure which is often left undetected in mitochondrial DNA variation. Early assumptions of the homogeneity of the isolated Finnish population have now proven to be false, which may also have implications for future association studies.     

Precision and accuracy of divergence time estimates from STR and SNPSTR variation

Inference of intraspecific population divergence patterns typically requires genetic data for molecular markers with relatively high mutation rates. Microsatellites, or short tandem repeat (STR) polymorphisms, have proven informative in many such investigations. These markers are characterized, however, by high levels of homoplasy and varying mutational properties, often leading to inaccurate inference of population divergence. A SNPSTR is a genetic system that consists of an STR polymorphism closely linked (typically < 500 bp) to one or more single-nucleotide polymorphisms (SNPs). SNPSTR systems are characterized by lower levels of homoplasy than are STR loci. Divergence time estimates based on STR variation (on the derived SNP allele background) should, therefore, be more accurate and precise. We use coalescent-based simulations in the context of several models of demographic history to compare divergence time estimates based on SNPSTR haplotype frequencies and STR allele frequencies. We demonstrate that estimates of divergence time based on STR variation on the background of a derived SNP allele are more accurate (3% to 7% bias for SNPSTR versus 11% to 20% bias for STR) and more precise than STR-based estimates, conditional on a recent SNP mutation. These results hold even for models involving complex demographic scenarios with gene flow, population expansion, and population bottlenecks. Varying the timing of the mutation event generating the SNP revealed that estimates of divergence time are sensitive to SNP age, with more recent SNPs giving more accurate and precise estimates of divergence time. However, varying both mutational properties of STR loci and SNP age demonstrated that multiple independent SNPSTR systems provide less biased estimates of divergence time. Furthermore, the combination of estimates based separately on STR and SNPSTR variation provides insight into the age of the derived SNP alleles. In light of our simulations, we interpret estimates from data for human populations.     

Variation at 4 short tandem repeat loci in 8 population groups of India.

We have determined the nature and extent of variation at 4 STR loci (CSF1P0, TPOX, TH01, VWA) in 8 caste and tribal population groups of eastern and northern India. Large differences in allele frequencies among the groups were found. Average heterozygosities in all populations were high (approximately 80%). The overall extent of gene differentiation among the 8 groups was high (GST = 0.04). The nature of genomic affinities based on these 4 STR loci does not completely agree with our earlier finding based on classical genetic markers that geographic proximity of habitat has a greater influence on genetic similarity between populations than sociocultural proximity does.     

A genome scan to detect candidate regions influenced by local natural selection in human populations

As human populations dispersed throughout the world, they were subjected to new selective forces, which must have led to local adaptation via natural selection and hence altered patterns of genetic variation. Yet, there are very few examples known in which such local selection has clearly influenced human genetic variation. A potential approach for detecting local selection is to screen random loci across the genome; those loci that exhibit unusually large genetic distances between human populations are then potential markers of genomic regions under local selection. We investigated this approach by genotyping 332 short tandem repeat (STR) loci in Africans and Europeans and calculating the genetic differentiation for each locus. Patterns of genetic diversity at these loci were consistent with greater variation in Africa and with local selection operating on populations as they moved out of Africa. For 11 loci exhibiting the largest genetic differences, we genotyped an additional STR locus located nearby; the genetic distances for these nearby loci were significantly larger than average. These genomic regions therefore reproducibly exhibit larger genetic distances between populations than the "average" genomic region, consistent with local selection. Our results demonstrate that genome scans are a promising means of identifying candidate regions that have been subjected to local selection.     

应用15个STRs揭示广西4个少数民族的遗传关系

为研究广西仫佬、毛南、苗和瑶族的15个短串联重复序列（STR）基因座的遗传多态性,探讨这4个民族群体的遗传差异和进化关系。通过PCR-STR及测序仪,检测了广西4个民族766例无关个体的15个STR位点基因频率的分布并比较各民族间的差异,计算遗传学参数、遗传距离和构建系统进化树。结果显示：仫佬、毛南、苗和瑶族的15个STR位点分别共检出135,134,148,145种等位基因和424,432,445,436种基因型;各民族的平均Ho〉0.7,累积DP,EPP和PIC均在0.99999以上;毛南族和苗族,瑶族和其他民族间在多数位点的基因频率分布上存在显著差异,而仫佬族和毛南族或苗族间在多数位点上不存在差异;4个民族在进化树上被分为两组,仫佬族和毛南族聚成一组,苗族和瑶族聚成另一组。说明广西仫佬、毛南、苗和瑶族的15个STR基因座具有高度的遗传多态性,实用价值较高,是一组可用于人类群体遗传学、法医学个体识别和亲子鉴定等研究的有力工具;4个民族STR的遗传差异性和遗传关系与他们的语言文化和民族历史基本一致。     

A short tandem repeat-based phylogeny for the human Y chromosome

Human Y-chromosomal short tandem repeat (STR) data provide a potential model system for the understanding of autosomal STR mutations in humans and other species. Yet, the reconstruction of STR evolution is rarely attempted, because of the absence of an appropriate methodology. We here develop and validate a phylogenetic-network approach. We have typed 256 Y chromosomes of indigenous descent from Africa, Asia, Europe, Australia, and highland Papua New Guinea, for the STR loci DYS19, DXYS156Y, DYS389, DYS390, DYS392, and DYS393, as well as for five ancient biallelic mutation events: two poly (A) length variants associated with the YAP insertion, two independent SRY-1532 mutations, and the 92R7 mutation. We have used our previously published pedigree data from 11,000 paternity-tested autosomal STR-allele transfers to produce a two-class weighting system for the Y-STR loci that is based on locus lengths and motif lengths. Reduced-median-network analysis yields a phylogeny that is independently supported by the five biallelic mutations, with an error of 6%. We find the earliest branch in our African San (Bushmen) sample. Assuming an age of 20,000 years for the Native American DYS199 T mutation, we estimate a mutation rate of 2.6x10-4 mutations/20 years for slowly mutating Y STRs, approximately 10-fold slower than the published average pedigree rate.     

Y-Chromosome Diversity in Modern Bulgarians: New Clues about Their Ancestry

To better define the structure and origin of the Bulgarian paternal gene pool, we have examined the Y-chromosome variation in 808 Bulgarian males. The analysis was performed by high-resolution genotyping of biallelic markers and by analyzing the STR variation within the most informative haplogroups. We found that the Y-chromosome gene pool in modern Bulgarians is primarily represented by Western Eurasian haplogroups with ∼ 40% belonging to haplogroups E-V13 and I-M423, and 20% to R-M17. Haplogroups common in the Middle East (J and G) and in South Western Asia (R-L23*) occur at frequencies of 19% and 5%, respectively. Haplogroups C, N and Q, distinctive for Altaic and Central Asian Turkic-speaking populations, occur at the negligible frequency of only 1.5%. Principal Component analyses group Bulgarians with European populations, apart from Central Asian Turkic-speaking groups and South Western Asia populations. Within the country, the genetic variation is structured in Western, Central and Eastern Bulgaria indicating that the Balkan Mountains have been permeable to human movements. The lineage analysis provided the following interesting results: (i) R-L23* is present in Eastern Bulgaria since the post glacial period; (ii) haplogroup E-V13 has a Mesolithic age in Bulgaria from where it expanded after the arrival of farming; (iii) haplogroup J-M241 probably reflects the Neolithic westward expansion of farmers from the earliest sites along the Black Sea. On the whole, in light of the most recent historical studies, which indicate a substantial proto-Bulgarian input to the contemporary Bulgarian people, our data suggest that a common paternal ancestry between the proto-Bulgarians and the Altaic and Central Asian Turkic-speaking populations either did not exist or was negligible.     

Genetic distances within and across cattle breeds as indicated by biallelic AFLP markers

We tested the use of biallelic Amplified fragment length polymorphism (AFLP) polymorphisms for the estimation of relative genetic distances of cattle individuals within or across breeds. An allele permutation procedure was developed to estimate the stochastic variation of the genetic distance that is inherent to a given dataset. In a panel of 47 Holstein-Friesian cattle analysed with 248 polymorphic markers, the average genetic distance of bulls selected for breeding was slightly lower than the distance of the cows. The observed standard deviation (SD) of the distance indicated genetic subdivision, which for the bulls was explained by variation in the additive relationship derived from herdbook data. Animals from three different breeds, the highly selected Holstein-Friesian, the Italian Brown and the historic Maremmana, were compared on the basis of 106 polymorphic markers. No breed-specific fragments were observed. The mean pair-wise genetic distance within breeds was 85% of the value across breeds, but principal coordinates analysis clustered the animals according to their breed of origin. Calculation of distances between the breeds indicated a relatively divergent position of the Maremmana, relative to the two other breeds. However, biallelic markers indicate that the process of breed formation had only a limited effect on the diversity at marker loci.     

STR polymorphisms in the population of the island of Hvar.

The aim of this study is to analyze short tandem repeat (STR) variation using data on 9 loci (D3S1358, VWA, FGA, THO1, TPOX, CSF1PO, D5S818, D13S317, D7S820) from the subpopulations of 6 villages on the island of Hvar, Croatia. The STR data help us to analyze the genetic structure of Hvar. The analysis of STR data in this study indicated genetic homogeneity among the village subpopulations on Hvar and the lack of the so-called east-west dichotomy, which had been indicated by some previous multidisciplinary anthropological studies. The observed value of GST (0.030) is most probably a consequence of high STR mutation rates, which produce a high level of within-group (village) diversity relative to total diversity of the population. The validity of STR markers in assessing genetic structure of small populations and especially in determining the relationships among closely related and reproductively isolated groups remains to be further evaluated.     

Genetic variation in a compound short tandem repeat/Alu haplotype system at the SB19.3 locus: properties and interpretation

The genetic variation at a compound nonrecombining haplotype system, consisting of the previously reported SB19.3 Alu insertion polymorphism and a newly identified adjacent short tandem repeat (STR), was studied in population samples from Portugal and S?o Tomé (Gulf of Guinea, West Africa). Age estimates based on the linked microsatellite variation suggest that the Alu insertion occurred about 190,000 years ago. In accordance with the global patterns of distribution of human genetic variation, the highest haplotype diversity was found in the African sample. This excess in African diversity was due to both a substantial reduction in heterozygosity at the Alu polymorphism and a lower STR variability associated with the predominant Alu insertion allele in the Portuguese sample. The high level of interpopulation differentiation observed at the Alu locus (F(ST) = 0.43) was interpreted under alternative selective and demographic scenarios. The need for compatibility between patterns of variation at the STR and Alu loci could be used to restrict the range of selection coefficients in selection-driven genetic hitchhiking frameworks and to favor demographic scenarios dominated by larger pre-expansion African population sizes. Taken together, the data show that the SB19.3 Alu-STR system is an informative marker that can be included in more extended batteries of compound haplotypes used in human evolutionary studies.     

Rapid detection of sex chromosomal aneuploidies by QF-PCR: application in 200 men with severe oligozoospermia or azoospermia

Klinefelter syndrome is the most common genetic cause of severe male factor infertility. Cytogenetic evaluation of metaphase chromosomes generally has a long turnaround time. We describe a reliable molecular genetic method that can be completed in 2 working days to identify the presence of any extra X chromosomes. The quantitative fluorescent (QF) 5-plex PCR includes the amplification of amelogenin, which is present on both sex chromosomes in a biallelic form, a polymorphic short tandem repeat (STR) on the pseudoautosomal region of X and Y (X22), two polymorphic X-specific STRs (DXS6803, DXS6809), and a Y-specific marker (SY134), in a single tube. The presence of an extra X chromosome is recognized either by a supernumerary peak or an increased peak area based on criteria we have developed. The application of the method on 200 patients resulted in the identification of 14 patients (7%) with Klinefelter syndrome or a variant form (2 SRY-positive 46,XX men), as well as an additional patient with 47,XYY karyotype. The QF-PCR method, along with Y chromosome microdeletion testing, can be used as a first-step genetic analysis in azoospermic or severely oligozoospermic patients for the rapid identification of sex chromosome aneuploidies.     

Patterns of molecular genetic variation among cat breeds

Genetic variation in cat breeds was assessed utilizing a panel of short tandem repeat (STR) loci genotyped in 38 cat breeds and 284 single-nucleotide polymorphisms (SNPs) genotyped in 24 breeds. Population structure in cat breeds generally reflects their recent ancestry and absence of strong breed barriers between some breeds. There is a wide range in the robustness of population definition, from breeds demonstrating high definition to breeds with as little as a third of their genetic variation partitioning into a single population. Utilizing the STRUCTURE algorithm, there was no clear demarcation of the number of population subdivisions; 16 breeds could not be resolved into independent populations, the consequence of outcrossing in established breeds to recently developed breeds with common ancestry. These 16 breeds were divided into 6 populations. Ninety-six percent of cats in a sample set of 1040 were correctly assigned to their classified breed or breed group/population. Average breed STR heterozygosities ranged from moderate (0.53; Havana, Korat) to high (0.85; Norwegian Forest Cat, Manx). Most of the variation in cat breeds was observed within a breed population (83.7%), versus 16.3% of the variation observed between populations. The hierarchical relationships of cat breeds is poorly defined as demonstrated by phylogenetic trees generated from both STR and SNP data, though phylogeographic grouping of breeds derived completely or in part from Southeast Asian ancestors was apparent.     

Microsatellite variation at 24 STR loci in three endogamous groups of Uttar Pradesh,India

We have studied variation at 24 microsatellite markers among 50 individuals from each of three endogamous groups, Bhargavas, Chaturvedis, and non-Bhargava, non-Chaturvedi Brahmins of Uttar Pradesh, India. The number of alleles at the loci tested varied from 4 to 11, with an average of 6 at each locus. Heterozygosity was found to be quite high at all loci in the three subpopulations. It varied between 0.44 to 0.84 among Bhargavas (average 0.6510), 0.44 to 0.80 among Chaturvedis (average 0.6633 +/-), and 0.42 to 0.85 among Brahmins (average 6.694 +/-). Hardy-Weinberg equilibrium analysis revealed that these populations are under genetic equilibrium at almost all the loci tested. Comparisons of allele frequency between Bhargavas and Chaturvedis showed that they differed significantly at 14 short tandem repeat (STR) markers (p < 0.001), while Chaturvedis and Brahmins differed at 6 (p < 0.05) and Brahmins and Bhargavas at 8 (p < 0.05). Average F(IS) and F(ST) for the 24 STR markers was -0.02 and 0.013, respectively. We used both un-weighted pair group with arithmetic mean and principal components analysis to evaluate genetic distances among the three groups. Our results revealed that although there were differences at particular allele frequencies between Bhargavas vs. Brahmins, Bhargavas vs. Chaturvedis, and Brahmins vs. Chaturvedis, these differences were not statistically significant when combined over all 24 STR markers between Chaturvedis vs. Brahmins and Bhargavas vs. Brahmins. The genetic distance analysis revealed that Bhargavas are slightly apart from the other two populations.