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.2015 Dec 15;112(50):E6889-97.
doi: 10.1073/pnas.1513696112. Epub 2015 Nov 23.

Tracking the origins of Yakutian horses and the genetic basis for their fast adaptation to subarctic environments

Pablo Librado  1Clio Der Sarkissian  1Luca Ermini  1Mikkel Schubert  1Hákon Jónsson  1Anders Albrechtsen  2Matteo Fumagalli  3Melinda A Yang  4Cristina Gamba  1Andaine Seguin-Orlando  5Cecilie D Mortensen  6Bent Petersen  7Cindi A Hoover  8Belen Lorente-Galdos  9Artem Nedoluzhko  10Eugenia Boulygina  10Svetlana Tsygankova  10Markus Neuditschko  11Vidhya Jagannathan  12Catherine Thèves  13Ahmed H Alfarhan  14Saleh A Alquraishi  14Khaled A S Al-Rasheid  14Thomas Sicheritz-Ponten  7Ruslan Popov  15Semyon Grigoriev  16Anatoly N Alekseev  16Edward M Rubin  8Molly McCue  17Stefan Rieder  11Tosso Leeb  12Alexei Tikhonov  18Eric Crubézy  13Montgomery Slatkin  4Tomas Marques-Bonet  9Rasmus Nielsen  19Eske Willerslev  1Juha Kantanen  20Egor Prokhortchouk  10Ludovic Orlando  21
Affiliations

Tracking the origins of Yakutian horses and the genetic basis for their fast adaptation to subarctic environments

Pablo Librado et al. Proc Natl Acad Sci U S A..

Abstract

Yakutia, Sakha Republic, in the Siberian Far East, represents one of the coldest places on Earth, with winter record temperatures dropping below -70 °C. Nevertheless, Yakutian horses survive all year round in the open air due to striking phenotypic adaptations, including compact body conformations, extremely hairy winter coats, and acute seasonal differences in metabolic activities. The evolutionary origins of Yakutian horses and the genetic basis of their adaptations remain, however, contentious. Here, we present the complete genomes of nine present-day Yakutian horses and two ancient specimens dating from the early 19th century and ∼5,200 y ago. By comparing these genomes with the genomes of two Late Pleistocene, 27 domesticated, and three wild Przewalski's horses, we find that contemporary Yakutian horses do not descend from the native horses that populated the region until the mid-Holocene, but were most likely introduced following the migration of the Yakut people a few centuries ago. Thus, they represent one of the fastest cases of adaptation to the extreme temperatures of the Arctic. We find cis-regulatory mutations to have contributed more than nonsynonymous changes to their adaptation, likely due to the comparatively limited standing variation within gene bodies at the time the population was founded. Genes involved in hair development, body size, and metabolic and hormone signaling pathways represent an essential part of the Yakutian horse adaptive genetic toolkit. Finally, we find evidence for convergent evolution with native human populations and woolly mammoths, suggesting that only a few evolutionary strategies are compatible with survival in extremely cold environments.

Keywords: adaptation; ancient genomics; horse; population discontinuity; regulatory changes.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Geographic distribution and population affinities. (A) Geographic location of ancient (blue) and modern (dark red) Yakutian horse samples (SI Appendix, Table S1.1). (B) TreeMix relationships between modern Yakutian horses (brown), ancient horses (blue), Przewalski's horses (green), and our panel of nine domestic breeds (red).
Fig. 2.
Fig. 2.
PCA. The analysis was based on genotype likelihoods and 29 genomes representative of present-day Yakutian horses, nine domestic breeds, the Przewalski’s horse population, CGG101397, and extinct horses. The fraction of the total variance explained by each of the three principal components is indicated on the corresponding axes.
Fig. 3.
Fig. 3.
Long- and short-termNe changes of the Yakutian horse population. (A) Scaled PSMC profile tracking effective population size changes over the past 2 Mya. (B) Site frequency spectra estimated from the present-day population of Yakutian horses (including CGG101397), expected under the neutral model, and fitted under the best demographic scenario (three-epoch model). (C) Three-epoch demographic model for the Yakutian horse population. This model represents the best fit in ∂a∂i analyses. Kyr, thousand years; LGM, Last Glacial Maximum.
Fig. 4.
Fig. 4.
Relative contribution of coding and noncoding regions to adaptation. (A) Red dashed line delimits the neutrality threshold [i.e., the top-0.001%dA quantile of 4d-fold degenerate sites (dA = 0.3448)]. (B) Distribution of the proportion of adaptive mutations across categories, including coding (green, 0d-fold, 2d-fold, and 4d-fold degenerate positions) and noncoding (red, 10 first bins of 1 kb upstream from the TSS) sites. (C)dA pattern at theTGM3 gene (reverse strand). (D)dA pattern at theLECT2 andFBLX21 gene region. chr, chromosome.
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