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The genetic legacy of legendary and historical Siberian chieftains. Commun Biol 2020; 3:581. [PMID: 33067556 PMCID: PMC7567834 DOI: 10.1038/s42003-020-01307-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 09/15/2020] [Indexed: 02/02/2023] Open
Abstract
Seventeen years of archaeological and anthropological expeditions in North-Eastern Siberia (in the Sakha Republic, Yakutia) have permitted the genetic analysis of 150 ancient (15th-19th century) and 510 modern individuals. Almost all males were successfully analysed (Y-STR) and this allowed us to identify paternal lineages and their geographical expansion through time. This genetic data was confronted with mythological, historical and material evidence to establish the sequence of events that built the modern Yakut genetic diversity. We show that the ancient Yakuts recovered from this large collection of graves are not representative of an ancient population. Uncommonly, we were also able to demonstrate that the funerary preference observed here involved three specific male lineages, especially in the 18th century. Moreover, this dominance was likely caused by the Russian conquest of Siberia which allowed some male clans to rise to new levels of power. Finally, we give indications that some mythical and historical figures might have been the actors of those genetic changes. These results help us reconsider the genetic dynamics of colonization in some regions, question the distinction between fact and myth in national histories and provide a rare insight into a funerary ensemble by revealing the biased process of its composition.
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Zvénigorosky V, Sabbagh A, Gonzalez A, Fausser JL, Palstra F, Romanov G, Solovyev A, Barashkov N, Fedorova S, Crubézy É, Ludes B, Keyser C. The limitations of kinship determinations using STR data in ill-defined populations. Int J Legal Med 2020; 134:1981-1990. [PMID: 32318826 DOI: 10.1007/s00414-020-02298-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Accepted: 04/07/2020] [Indexed: 11/30/2022]
Abstract
The likelihood ratio (LR) method is commonly used to determine kinship in civil, criminal, or forensic cases. For the past 15 years, our research group has also applied LR to ancient STR data and obtained kinship results for collections of graves or necropolises. Although we were able to reconstruct large genealogies, some pairs of individuals showed ambiguous results. Second-degree relationships, half-sibling pairs for example, were often inconsistent with detected first-degree relationships, such as parent/child or brother/sister pairs. We therefore set about providing empirical estimations of the error rates for the LR method in living populations with STR allelic diversities comparable to that of the ancient populations we had previously studied. We collected biological samples in the field in North-Eastern Siberia and West Africa and studied more than 800 pairs of STR profiles from individuals with known relationships. Because commercial STR panels were constructed for specific regions (namely Europe and North America), their allelic makeup showed a significant deficit in diversity when compared to European populations, replicating a situation often faced in ancient DNA studies. We assessed the capacity of the LR method to confirm known relationships (effectiveness) and its capacity to detect those relationships (reliability). Concerns over the effectiveness of LR determinations are mostly an issue in forensic studies, while the reliability of the detection of kinship is an issue for the study of necropolises or other large gatherings of unidentified individuals, such as disaster victims or mass graves. We show that the application of LR to both test populations highlights specific issues (both false positives and false negatives) that prevent the confirmation of second-degree kinship or even full siblingship in small populations. Up to 29% of detected full sibling relationships were either overestimated half-sibling relationships or underestimated parent-offspring relationships. The error rate for detected half-sibling relationships was even higher, reaching 41%. Only parent-offspring pairs were reliably detected or confirmed. This implies that, in populations that are small, ill-defined, or for which the STR loci analyzed are inappropriate, an examiner might not be able to distinguish a pair of full siblings from a pair of half-siblings. Furthermore, half-sibling pairs might be overlooked altogether, an issue that is exacerbated by the common confusion, in many languages and cultures, between half-siblings and full siblings. Consequently, in the study of ancient populations, human remains of unknown origins, or poorly surveyed modern populations, we recommend a conservative approach to kinship determined by LR. Next-generation sequencing data should be used when possible, but the costs and technology involved might be prohibitive. Therefore, in potentially contentious situations or cases lacking sufficient external information, uniparental markers should be analyzed: ideally, complete mitochondrial genomes and Y-chromosome haplotypes (STR, SNP, and/or sequencing).
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Affiliation(s)
- Vincent Zvénigorosky
- CNRS FRE 2029-BABEL,, Paris Descartes University, Paris, France. .,Strasbourg Institute of Legal Medicine, Strasbourg, France.
| | - Audrey Sabbagh
- UMR 261 MERIT, IRD, Paris Descartes University, Paris, France
| | | | | | - Friso Palstra
- UMR 261 MERIT, IRD, Paris Descartes University, Paris, France
| | - Georgii Romanov
- Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia.,Laboratory of Molecular Genetics, Yakut Science-Centre of Complex Medical Problems, Yakutsk, Sakha Republic, Russia
| | - Aisen Solovyev
- Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia.,Institute for Humanitarian Studies and Problems of Indigenous Peoples of the North, Yakutsk, Sakha Republic, Russia
| | - Nikolay Barashkov
- Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia.,Laboratory of Molecular Genetics, Yakut Science-Centre of Complex Medical Problems, Yakutsk, Sakha Republic, Russia
| | - Sardana Fedorova
- Laboratory of Molecular Biology, North-Eastern Federal University, Yakutsk, Sakha Republic, Russia.,Laboratory of Molecular Genetics, Yakut Science-Centre of Complex Medical Problems, Yakutsk, Sakha Republic, Russia
| | - Éric Crubézy
- CNRS UMR 5288 AMIS, Toulouse Paul Sabatier University, Toulouse, France
| | - Bertrand Ludes
- CNRS FRE 2029-BABEL,, Paris Descartes University, Paris, France
| | - Christine Keyser
- CNRS FRE 2029-BABEL,, Paris Descartes University, Paris, France.,Strasbourg Institute of Legal Medicine, Strasbourg, France
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