Evidence map›Paper›PMID 25512547›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Prehistoric genomes reveal the genetic foundation and cost of horse domestication.

Mikkel Schubert, Hákon Jónsson, Dan Chang, Clio Der Sarkissian, Luca Ermini, Aurélien Ginolhac, Anders Albrechtsen, Isabelle Dupanloup, Adrien Foucal, Bent Petersen and 25 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed
20.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

154 citing papers in PubMed, 344 citations in OpenAlex.

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  6. Domestication is adaptive evolution in response to human use.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  13. A reanalysis of population dynamics in the Casas Grandes region of Northern Mexico using mitochondrial DNA.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  20. Unraveling the genetic and physiological potential of donkeys: insights from genomics, proteomics, and metabolomics approaches.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review

94 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

35 authors at 14 institutions in 9 countries.

Mikkel SchubertCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;ORCID http://orcid.org/0000-0003-2401-9921
Hákon JónssonCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Dan ChangDepartment of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064;
Clio Der SarkissianCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Luca ErminiCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Aurélien GinolhacCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Anders AlbrechtsenThe Bioinformatics Centre, Department of Biology, University of Copenhagen, 2200N Copenhagen, Denmark;
Isabelle DupanloupInstitute of Ecology and Evolution, University of Berne, 3012 Berne, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland;
Adrien FoucalInstitute of Ecology and Evolution, University of Berne, 3012 Berne, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland;
Bent PetersenCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, 2800 Lyngby, Denmark;
Matteo FumagalliUCL Genetics Institute, Department of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, United Kingdom;
Maanasa RaghavanCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Andaine Seguin-OrlandoCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark; National High-Throughput DNA Sequencing Center, University of Copenhagen, 1353K Copenhagen, Denmark;
Thorfinn S KorneliussenCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;ORCID http://orcid.org/0000-0001-7576-5380
Amhed M V VelazquezCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Jesper StenderupCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Cindi A HooverDepartment of Energy Joint Genome Institute, Walnut Creek, CA 94598;
Carl-Johan RubinScience for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, SE-751 23 Uppsala, Sweden;
Ahmed H AlfarhanZoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia;
Saleh A AlquraishiZoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia;
Khaled A S Al-RasheidZoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia;
David E MacHughAnimal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland; UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin 4, Ireland;ORCID http://orcid.org/0000-0002-8112-4704
Ted KalbfleischBiochemistry and Molecular Biology, School of Medicine, University of Louisville, Louisville, KY 40292;
James N MacLeodDepartment of Veterinary Science, Gluck Equine Research Center, University of Kentucky, Lexington, KY 40546;
Edward M RubinDepartment of Energy Joint Genome Institute, Walnut Creek, CA 94598;
Thomas Sicheritz-PontenCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, 2800 Lyngby, Denmark;ORCID http://orcid.org/0000-0001-6615-1141
Leif AnderssonScience for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, SE-751 23 Uppsala, Sweden;
Michael HofreiterInstitute for Biochemistry and Biology, Faculty for Mathematics and Natural Sciences, University of Potsdam, 14476 Potsdam, Germany;
Tomas Marques-BonetInstituticó Catalana de Recerca i Estudis Avançats, Institut de Biologia Evolutiva (Universitat Pompeu Fabra/Consejo Superior de Investigaciones Cientificas), 08003 Barcelona, Spain; Centro Nacional de Análisis Genómico, 08028 Barcelona, Spain; and.
M Thomas P GilbertCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Rasmus NielsenDepartments of Integrative Biology and Statistics, University of California, Berkeley, CA 94720.
Laurent ExcoffierInstitute of Ecology and Evolution, University of Berne, 3012 Berne, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland;
Eske WillerslevCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark;
Beth ShapiroDepartment of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064;
Ludovic OrlandoCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark; Lorlando@snm.ku.dk.
University of Copenhagen · DKKing Saud University · SAUniversity of Bern · CHJoint Genome Institute · USTechnical University of Denmark · DKUniversity of California, Santa Cruz · USUppsala University · SEInstitució Catalana de Recerca i Estudis Avançats · ESUniversity College Dublin · IEUniversity College London · GBUniversity of California, Berkeley · USUniversity of Kentucky · USUniversity of Louisville · USUniversity of Potsdam · DE

Funding

European Research Council 260372
6 · The paper itself

Abstract

The domestication of the horse ∼ 5.5 kya and the emergence of mounted riding, chariotry, and cavalry dramatically transformed human civilization. However, the genetics underlying horse domestication are difficult to reconstruct, given the near extinction of wild horses. We therefore sequenced two ancient horse genomes from Taymyr, Russia (at 7.4- and 24.3-fold coverage), both predating the earliest archeological evidence of domestication. We compared these genomes with genomes of domesticated horses and the wild Przewalski's horse and found genetic structure within Eurasia in the Late Pleistocene, with the ancient population contributing significantly to the genetic variation of domesticated breeds. We furthermore identified a conservative set of 125 potential domestication targets using four complementary scans for genes that have undergone positive selection. One group of genes is involved in muscular and limb development, articular junctions, and the cardiac system, and may represent physiological adaptations to human utilization. A second group consists of genes with cognitive functions, including social behavior, learning capabilities, fear response, and agreeableness, which may have been key for taming horses. We also found that domestication is associated with inbreeding and an excess of deleterious mutations. This genetic load is in line with the "cost of domestication" hypothesis also reported for rice, tomatoes, and dogs, and it is generally attributed to the relaxation of purifying selection resulting from the strong demographic bottlenecks accompanying domestication. Our work demonstrates the power of ancient genomes to reconstruct the complex genetic changes that transformed wild animals into their domesticated forms, and the population context in which this process took place.

Indexed as

Evolution, MolecularAnimalsAnimals, DomesticCardiovascular SystemDogsGenomeHindlimbHorsesHumansInbreedingRussiaancient DNAcost of domesticationhorse domesticationpositive selectionPrzewalski’s horse

Identifiers

PMID25512547
PMCPMC4284583
OpenAlexW2033123297

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.