Human Genetics

, Volume 118, Issue 5, pp 591–604 | Cite as

Contrasting patterns of Y-chromosome variation in South Siberian populations from Baikal and Altai-Sayan regions

  • Miroslava DerenkoEmail author
  • Boris Malyarchuk
  • Galina A. Denisova
  • Marcin Wozniak
  • Irina Dambueva
  • Choduraa Dorzhu
  • Faina Luzina
  • Danuta Miścicka-Śliwka
  • Ilia Zakharov
Original Investigation


In order to investigate the genetic history of autochthonous South Siberian populations and to estimate the contribution of distinct patrilineages to their gene pools, we have analyzed 17 Y-chromosomal binary markers (YAP, RPS4Y711, SRY-8299, M89, M201, M52, M170, 12f2, M9, M20, 92R7, SRY-1532, DYS199, M173, M17, Tat, and LLY22 g) in a total sample of 1,358 males from 14 ethnic groups of Siberia (Altaians-Kizhi, Teleuts, Shors, Tuvinians, Todjins, Tofalars, Sojots, Khakassians, Buryats, Evenks), Central/Eastern Asia (Mongolians and Koreans) and Eastern Europe (Kalmyks and Russians). Based on both, the distribution pattern of Y-chromosomal haplogroups and results on AMOVA analysis we observed the statistically significant genetic differentiation between the populations of Baikal and Altai–Sayan regions. We suggest that these regional differences can be best explained by different contribution of Central/Eastern Asian and Eastern European paternal lineages into gene pools of modern South Siberians. The population of the Baikal region demonstrates the prevalence of Central/Eastern Asian lineages, whereas in the populations of Altai and Sayan regions the highest paternal contribution resulted from Eastern European descent is revealed. Yet, our data on Y-chromosome STRs variation demonstrate the clear differences between the South Siberian and Eastern European R1a1-lineages with the evolutionary ages compatible with divergence time between these two regional groups.


Y-chromosome haplogroups STR South Siberia Central/Eastern Asia Eastern Europe R1a1-lineages 



We thank all the donors for making this work possible, A. Jakubowska, K. Filipenko, A. Lunkina and M. Perkova for technical assistance. We also thank L.A. Zhivotovsky for his help concerning the statistical analyses of STR data. This research has been supported by the Russian Foundation for Basic Research through the grants 03-04-48162 and 04-04-48746; by the grant from the Polish State Committee for Scientific Research (3P04C 04823); by the grant from the Far-East Branch of the Russian Academy of Sciences (03-3-A-06-047) and by the Program of Basic Research of Russian Academy of Sciences “Dynamics of plant, animal and human gene pools”. M.D. was supported in part by the Józef Mianowski Fund.


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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • Miroslava Derenko
    • 1
    Email author
  • Boris Malyarchuk
    • 1
  • Galina A. Denisova
    • 1
  • Marcin Wozniak
    • 2
  • Irina Dambueva
    • 3
  • Choduraa Dorzhu
    • 4
  • Faina Luzina
    • 5
  • Danuta Miścicka-Śliwka
    • 2
  • Ilia Zakharov
    • 6
  1. 1.Genetics Laboratory, Institute of Biological Problems of the NorthRussian Academy of SciencesMagadanRussia
  2. 2.Forensic Medicine Institute, Ludwik Rydygier Medical College Nicolaus Copernicus University in TorunBydgoszczPoland
  3. 3.Institute of General and Experimental BiologyRussian Academy of SciencesUlan-UdeRussia
  4. 4.Tuva State UniversityKyzylRussia
  5. 5.Institute of Professional Diseases and Hygiene ProblemsRussian Academy of Medical SciencesNovokuznetskRussia
  6. 6.Animal Comparative Genetics Laboratory, Vavilov Institute of General GeneticsRussian Academy of SciencesMoscowRussia

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