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High Genetic Diversity of Ancient Horses from the Ukok Plateau

Abstract

A growing number of researchers studying horse domestication come to a conclusion that this process happened in multiple locations and involved multiple wild maternal lines. The most promising approach to address this problem involves mitochondrial haplotype comparison of wild and domestic horses from various locations coupled with studies of possible migration routes of the ancient shepherds. Here, we sequenced complete mitochondrial genomes of six horses from burials of the Ukok plateau (Russia, Altai Mountains) dated from 2.7 to 1.4 thousand years before present and a single late Pleistocene wild horse from the neighboring region (Denisova cave). Sequencing data indicates that the wild horse belongs to an extinct pre-domestication lineage. Integration of the domestic horse data with known Eurasian haplotypes of a similar age revealed two distinct groups: the first one widely distributed in Europe and presumably imported to Altai, and the second one specific for Altai Mountains and surrounding area.

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References
1.
Lindgreen S . AdapterRemoval: easy cleaning of next-generation sequencing reads. BMC Res Notes. 2012; 5:337. PMC: 3532080. DOI: 10.1186/1756-0500-5-337. View

2.
Fages A, Hanghoj K, Khan N, Gaunitz C, Seguin-Orlando A, Leonardi M . Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series. Cell. 2019; 177(6):1419-1435.e31. PMC: 6547883. DOI: 10.1016/j.cell.2019.03.049. View

3.
Yang D, Eng B, Waye J, Dudar J, Saunders S . Technical note: improved DNA extraction from ancient bones using silica-based spin columns. Am J Phys Anthropol. 1998; 105(4):539-43. DOI: 10.1002/(SICI)1096-8644(199804)105:4<539::AID-AJPA10>3.0.CO;2-1. View

4.
McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A . The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010; 20(9):1297-303. PMC: 2928508. DOI: 10.1101/gr.107524.110. View

5.
Drummond A, Rambaut A . BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007; 7:214. PMC: 2247476. DOI: 10.1186/1471-2148-7-214. View