Y-LineageTracker: a high-throughput analysis framework for Y-chromosomal next-generation sequencing data.

BACKGROUND: Y-chromosome DNA (Y-DNA) has been used for tracing paternal lineages and offers a clear path from an individual to a known, or likely, direct paternal ancestor. The advance of next-generation sequencing (NGS) technologies increasingly improves the resolution of the non-recombining region of the Y-chromosome (NRY). However, a lack of suitable computer tools prevents the use of NGS data from the Y-DNA studies. RESULTS: We developed Y-LineageTracker, a high-throughput analysis framework that not only utilizes state-of-the-art methodologies to automatically determine NRY haplogroups and identify microsatellite variants of Y-chromosome on a fine scale, but also optimizes comprehensive Y-DNA analysis methods for NGS data. Notably, Y-LineageTracker integrates the NRY haplogroup and Y-STR analysis modules with recognized strategies to robustly suggest an interpretation for paternal genetics and evolution. NRY haplogroup module mainly covers haplogroup classification, clustering analysis, phylogeny construction, and divergence time estimation of NRY haplogroups, and Y-STR module mainly includes Y-STR genotyping, statistical calculation, network analysis, and estimation of time to the most recent common ancestor (TMRCA) based on Y-STR haplotypes. Performance comparison indicated that Y-LineageTracker outperformed existing Y-DNA analysis tools for the high performance and satisfactory visualization effect. CONCLUSIONS: Y-LineageTracker is an open-source and user-friendly command-line tool that provide multiple functions to efficiently analyze Y-DNA from NGS data at both Y-SNP and Y-STR level. Additionally, Y-LineageTracker supports various formats of input data and produces high-quality figures suitable for publication. Y-LineageTracker is coded with Python3 and supports Windows, Linux, and macOS platforms, and can be installed manually or via the Python Package Index (PyPI). The source code, examples, and manual of Y-LineageTracker are freely available at https://www.picb.ac.cn/PGG/resource.php or CodeOcean ( https://codeocean.com/capsule/7424381/tree ).

Ancient DNA reveals two paternal lineages C2a1a1b1a/F3830 and C2b1b/F845 in past nomadic peoples distributed on the Mongolian Plateau.

OBJECTIVES: Since the third century CE, a series of nomadic tribes have been active on the eastern part of the Mongolian Plateau. Characterizing the genetic compositions of past nomadic people is significant for research on the nomadic cultures of the Eurasian Steppe region. Ancient DNA analysis facilitates a deeper understanding of the relationship between historical and modern nomadic populations. MATERIALS AND METHODS: Whole-genome shotgun sequencing and capture sequencing of the nonrecombining region of the Y chromosome were performed for six ancient Hg C2/M217 individuals. The individuals were interred at six separate sites on the Mongolian Plateau and represent dates spanning the late Neolithic to Yuan Dynasty (~3,500-700 BP). RESULTS: After NRY capture sequencing, three of the six ancient samples were attributed to C2b1b/F845 and the other three ancient samples belonged to C2a1a1b1a/F3830. Analysis of whole-genome shotgun sequencing data shows that the ancient C2b1b/F845 individuals are closely related to She, Han and other East Asian populations, while the ancient C2a1a1b1a/F3830 individuals are more similar to modern Northeast Asian peoples, such as the Ulchi and Yakut. DISCUSSION: Hg C2/M217, widely distributed in the eastern part of the Eurasian continent, was discovered in the ancient Central Steppe and Baikal region. This study shows that there were two important subclades of Hg C2/M217 among the ancient nomadic peoples: C2a1a1b1a/F3830, which has made important genetic contributions to modern Mongolic- and Manchu-speaking populations, and C2b1b/F845, which probably originated in the farming populations of southern East Asia and made certain genetic contributions to past nomadic peoples on the Mongolian Plateau.

Origin and identity of the Brokpa of Dah-Hanu, Himalayas - an NRY-HG L1a2 (M357) legacy.

Background: The Brokpas are an isolated tribal population of the Dah-Hanu villages of the Leh district of India. They speak Dardic, a sub-branch of the Indo-European language family, and are putatively identified as "pure Aryan," a hegemonic impression perpetuated by foreign tourism.Aim: To determine if the above is true by looking for an appreciable frequency of NRY-HG-R1a1(M17) signatures which are common to Indo-European language speakers of mainland India and elsewhere.Subjects and methods: We studied 75 random Brokpa males from the Dah-Hanu region, on the northern bank of the Indus river.Results: Interestingly, the Brokpa males possessed a high proportion of NRY-HG-L1a2(M357) (62.7%) that are found sporadically in India and her neighbourhood. A global analysis of this clade (present study, 214 of 3327 men from 63 populations; from the literature 56 of 873) suggested that they originated from southern India.Conclusion: The Y chromosomal studies suggest the Brokpa to be pre-Vedic settlers of the Himalayas, 9000 ybp, with an isolated evolution. The mtDNA profile shows a predominance of mtDNA HG A4 that must have arrived from outside the Indian subcontinent.

Genetic structure and sex-biased gene flow in the history of southern African populations.

OBJECTIVES: We investigated the genetic history of southern African populations with a special focus on their paternal history. We reexamined previous claims that the Y-chromosome haplogroup E1b1b (E-M293) was brought to southern Africa by pastoralists from eastern Africa, and investigated patterns of sex-biased gene flow in southern Africa. MATERIALS AND METHODS: We analyzed previously published complete mtDNA genome sequences and ∼900 kb of NRY sequences from 23 populations from Namibia, Botswana, and Zambia, as well as haplogroup frequencies from a large sample of southern African populations and 23 newly genotyped Y-linked STR loci for samples assigned to haplogroup E1b1b. RESULTS: Our results support an eastern African origin for Y-chromosome haplogroup E1b1b (E-M293); however, its current distribution in southern Africa is not strongly associated with pastoralism, suggesting more complex demographic events and/or changes in subsistence practices in this region. The Bantu expansion in southern Africa had a notable genetic impact and was probably a rapid, male-dominated expansion. Our finding of a significant increase in the intensity of the sex-biased gene flow from north to south may reflect changes in the social dynamics between Khoisan and Bantu groups over time. CONCLUSIONS: Our study shows that the population history of southern Africa has been complex, with different immigrating groups mixing to different degrees with the autochthonous populations. The Bantu expansion led to heavily sex-biased admixture as a result of interactions between Khoisan females and Bantu males, with a geographic gradient which may reflect changes in the social dynamics between Khoisan and Bantu groups over time.

The genome of an ancient Rouran individual reveals an important paternal lineage in the Donghu population.

OBJECTIVES: Following the Xiongnu and Xianbei, the Rouran Khaganate (Rouran) was the third great nomadic tribe on the Mongolian Steppe. However, few human remains from this tribe are available for archaeologists and geneticists to study, as traces of the tombs of these nomadic people have rarely been found. In 2014, the IA-M1 remains (TL1) at the Khermen Tal site from the Rouran period were found by a Sino-Mongolian joint archaeological team in Mongolia, providing precious material for research into the genetic imprint of the Rouran. MATERIALS AND METHODS: The mtDNA hypervariable sequence I (HVS-I) and Y-chromosome SNPs were analyzed, and capture of the paternal non-recombining region of the Y chromosome (NRY) and whole-genome shotgun sequencing of TL1 were performed. The materials from three sites representing the three ancient nationalities (Donghu, Xianbei, and Shiwei) were selected for comparison with the TL1 individual. RESULTS: The mitochondrial haplotype of the TL1 individual was D4b1a2a1. The Y-chromosome haplotype was C2b1a1b/F3830 (ISOGG 2015), which was the same as that of the other two ancient male nomadic samples (ZHS5 and GG3) related to the Xianbei and Shiwei, which were also detected as F3889; this haplotype was reported to be downstream of F3830 by Wei et al. (). DISCUSSION: We conclude that F3889 downstream of F3830 is an important paternal lineage of the ancient Donghu nomads. The Donghu-Xianbei branch is expected to have made an important paternal genetic contribution to Rouran. This component of gene flow ultimately entered the gene pool of modern Mongolic- and Manchu-speaking populations.

Benchmarking of human Y-chromosomal haplogroup classifiers with whole-genome and whole-exome sequence data.

In anthropological, medical, and forensic studies, the nonrecombinant region of the human Y chromosome (NRY) enables accurate reconstruction of pedigree relationships and retrieval of ancestral information. Using high-throughput sequencing (HTS) data, we present a benchmarking analysis of command-line tools for NRY haplogroup classification. The evaluation was performed using paired Illumina data from whole-genome sequencing (WGS) and whole-exome sequencing (WES) experiments from 50 unrelated donors. Additionally, as a validation, we also used paired WGS/WES datasets of 54 individuals from the 1000 Genomes Project. Finally, we evaluated the tools on data from third-generation HTS obtained from a subset of donors and one reference sample. Our results show that WES, despite typically offering less genealogical resolution than WGS, is an effective method for determining the NRY haplogroup. Y-LineageTracker and Yleaf showed the highest accuracy for WGS data, classifying precisely 98% and 96% of the samples, respectively. Yleaf outperforms all benchmarked tools in the WES data, classifying approximately 90% of the samples. Yleaf, Y-LineageTracker, and pathPhynder can correctly classify most samples (88%) sequenced with third-generation HTS. As a result, Yleaf provides the best performance for applications that use WGS and WES. Overall, our study offers researchers with a guide that allows them to select the most appropriate tool to analyze the NRY region using both second- and third-generation HTS data.

A review of studies examining the association between genetic biomarkers (short tandem repeats and single-nucleotide polymorphisms) and risk of prostate cancer: the need for valid predictive biomarkers.

Prostate cancer (PCa) is a challenging polygenic disease because the genes that cause PCa remain largely elusive and are affected by several causal factors. Consequently, research continuously strives to identify a genetic marker which could be used as an indicator to predict the most vulnerable (i.e., predisposed) segments of the population to the disease or for the gene which may be directly responsible for PCa. To enhance the genetic etiology of PCa, this research sought to discover the key studies conducted in this field using data from the main journal publication search engines, as it was hoped that this could shed light on the main research findings from these studies, which in turn could assist in determining these genes or markers. From the research highlighted, the studies primarily used two kinds of markers: short tandem repeats or single-nucleotide polymorphisms. These markers were found to be quite prevalent in all the chromosomes within the research carried out. It also became apparent that the studies differed in both quantity and quality, as well as being conducted in a variety of societies. Links were also determined between the degree and strength of the relationship between these markers and the occurrence of the disease. From the studies identified, most recommended a larger and more diverse survey for the parameters which had not been studied before, as well as an increase in the size of the community (i.e., the population) being studied. This is an indication that work in this field is far from complete, and thus, current research remains committed toward finding genetic markers that can be used clinically for the diagnosis and screening of patients with PCa.

Mitochondrial and Y chromosome haplotype motifs as diagnostic markers of Jewish ancestry: a reconsideration.

Several authors have proposed haplotype motifs based on site variants at the mitochondrial genome (mtDNA) and the non-recombining portion of the Y chromosome (NRY) to trace the genealogies of Jewish people. Here, we analyzed their main approaches and test the feasibility of adopting motifs as ancestry markers through construction of a large database of mtDNA and NRY haplotypes from public genetic genealogical repositories. We verified the reliability of Jewish ancestry prediction based on the Cohen and Levite Modal Haplotypes in their "classical" 6 STR marker format or in the "extended" 12 STR format, as well as four founder mtDNA lineages (HVS-I segments) accounting for about 40% of the current population of Ashkenazi Jews. For this purpose we compared haplotype composition in individuals of self-reported Jewish ancestry with the rest of European, African or Middle Eastern samples, to test for non-random association of ethno-geographic groups and haplotypes. Overall, NRY and mtDNA based motifs, previously reported to differentiate between groups, were found to be more represented in Jewish compared to non-Jewish groups. However, this seems to stem from common ancestors of Jewish lineages being rather recent respect to ancestors of non-Jewish lineages with the same "haplotype signatures." Moreover, the polyphyly of haplotypes which contain the proposed motifs and the misuse of constant mutation rates heavily affected previous attempts to correctly dating the origin of common ancestries. Accordingly, our results stress the limitations of using the above haplotype motifs as reliable Jewish ancestry predictors and show its inadequacy for forensic or genealogical purposes.

Indigenous and foreign Y-chromosomes characterize the Lingayat and Vokkaliga populations of Southwest India.

Previous studies have shown that India's vast coastal rim played an important role in the dispersal of modern humans out of Africa but the Karnataka state, which is located on the southwest coast of India, remains poorly characterized genetically. In the present study, two Dravidian populations, namely Lingayat (N=101) and Vokkaliga (N=102), who represent the two major communities of the Karnataka state, were examined using high-resolution analyses of Y-chromosome single nucleotide polymorphisms (Y-SNPs) and seventeen short tandem repeat (Y-STR) loci. Our results revealed that the majority of the Lingayat and Vokkaliga paternal gene pools are composed of four Y-chromosomal haplogroups (H, L, F* and R2) that are frequent in the Indian subcontinent. The high level of L1-M76 chromosomes in the Vokkaligas suggests an agricultural expansion in the region, while the predominance of R1a1a1b2-Z93 and J2a-M410 lineages in the Lingayat indicates gene flow from neighboring south Indian populations and West Asia, respectively. Lingayat (0.9981) also exhibits a relatively high haplotype diversity compared to Vokkaliga (0.9901), supporting the historical record that the Lingayat originated from multiple source populations. In addition, we detected ancient lineages such as F*-M213, H*-M69 and C*-M216 that may be indicative of genetic signatures of the earliest settlers who reached India after their migration out of Africa.