RESEARCH Open Access
Between Lake Baikal and the Baltic Sea:
genomic history of the gateway to Europe
Petr Triska
1†
, Nikolay Chekanov
2,3†
, Vadim Stepanov
4
, Elza K. Khusnutdinova
5,6
, Ganesh Prasad Arun Kumar
7
,
Vita Akhmetova
5
, Konstantin Babalyan
8
, Eugenia Boulygina
9
, Vladimir Kharkov
4
, Marina Gubina
10
,
Irina Khidiyatova
5,6
, Irina Khitrinskaya
4
, Ekaterina E. Khrameeva
3,11
, Rita Khusainova
5,6
, Natalia Konovalova
12
,
Sergey Litvinov
5
, Andrey Marusin
4
, Alexandr M. Mazur
2
, Valery Puzyrev
4
, Dinara Ivanoshchuk
10
, Maria Spiridonova
4
,
Anton Teslyuk
8
, Svetlana Tsygankova
8
, Martin Triska
1
, Natalya Trofimova
5
, Edward Vajda
13
, Oleg Balanovsky
14,15
,
Ancha Baranova
14,16,17
, Konstantin Skryabin
2,9,18
, Tatiana V. Tatarinova
15,16,17,19,20*†
and Egor Prokhortchouk
2,18*†
From Belyaev Conference
Novosibirsk, Russia. 07-10 August 2017
Abstract
Background: The history of human populations occupying the plains and mountain ridges separating Europe from
Asia has been eventful, as these natural obstacles were crossed westward by multiple waves of Turkic and Uralic-
speaking migrants as well as eastward by Europeans. Unfortunately, the material records of history of this region are
not dense enough to reconstruct details of population history. These considerations stimulate growing interest to
obtain a genetic picture of the demographic history of migrations and admixture in Northern Eurasia.
Results: We genotyped and analyzed 1076 individuals from 30 populations with geographical coverage spanning
from Baltic Sea to Baikal Lake. Our dense sampling allowed us to describe in detail the population structure,
provide insight into genomic history of numerous European and Asian populations, and significantly increase
quantity of genetic data available for modern populations in region of North Eurasia. Our study doubles the
amount of genome-wide profiles available for this region.
We detected unusually high amount of shared identical-by-descent (IBD) genomic segments between several
Siberian populations, such as Khanty and Ket, providing evidence of genetic relatedness across vast geographic
distances and between speakers of different language families. Additionally, we observed excessive IBD sharing
between Khanty and Bashkir, a group of Turkic speakers from Southern Urals region. While adding some weight to
the “Finno-Ugric” origin of Bashkir, our studies highlighted that the Bashkir genepool lacks the main “core”, being a
multi-layered amalgamation of Turkic, Ugric, Finnish and Indo-European contributions, which points at intricacy of
genetic interface between Turkic and Uralic populations. Comparison of the genetic structure of Siberian ethnicities
and the geography of the region they inhabit point at existence of the “Great Siberian Vortex” directing genetic
exchanges in populations across the Siberian part of Asia.
Slavic speakers of Eastern Europe are, in general, very similar in their genetic composition. Ukrainians, Belarusians
and Russians have almost identical proportions of Caucasus and Northern European components and have virtually
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* Correspondence: ttatarinova@laverne.edu; prokhortchouk@biengi.ac.ru
†
Equal contributors
15
Vavilov Institute of General Genetics, Moscow, Russia
2
Federal State Institution “Federal Research Centre «Fundamentals of
Biotechnology» of the Russian Academy of Sciences”, Moscow, Russia
Full list of author information is available at the end of the article
© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Triska et al. BMC Genetics 2017, 18(Suppl 1):110
DOI 10.1186/s12863-017-0578-3