Analyze Diet
Frontiers in genetics2026; 17; 1874969; doi: 10.3389/fgene.2026.1874969

Mitochondrial DNA reveals high maternal diversity within a weak breed structure in native Kazakhstani horses.

Abstract: Understanding the genetic diversity and evolutionary history of domestic horses () is essential for reconstructing their population dynamics and origins. In this study, we analyzed mitochondrial DNA variation (COI and cytb) in six Kazakhstani horse populations representing four native breeds (Kazakh, Kostanay, Adai, and Mugalzhar) to assess genetic diversity, population structure, and evolutionary relationships within a broader phylogenetic framework. High haplotype diversity combined with low nucleotide diversity revealed population expansion and admixture. Population structure analyses revealed weak genetic differentiation and a lack of breed-specific structuring, with most variation occurring within populations. Phylogenetic reconstruction and haplotype network analyses showed that Kazakhstani horses are interspersed among global domestic lineages, reflecting extensive historical connectivity and admixture. Demographic analyses based on neutrality tests and mismatch distributions support signals of ancient population expansion, while the multimodal distribution patterns suggest a complex demographic history involving population substructure and multiple expansion events rather than a single, sudden expansion. Times since expansion were calculated to be around 205 Kya. Divergence time estimates place the diversification of all caballine horses, including Kazakhstani horses, within the Pleistocene (0.89 Mya) with the majority of them grouping with different horse breeds across the world. These results indicate that the maternal genetic structure of Kazakhstani horses has been shaped by a combination of ancient evolutionary processes and more recent demographic dynamics, including recurrent gene flow across Eurasian steppe environments. Overall, this study highlights a reticulate evolutionary history of domestic horses, emphasizing the role of long-term connectivity and population expansion in shaping mitochondrial diversity.
Publication Date: 2026-07-06 PubMed ID: 42483728PubMed Central: PMC13387962DOI: 10.3389/fgene.2026.1874969Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

Mitochondrial DNA analysis of native Kazakhstani horses reveals high maternal genetic diversity but weak differentiation among breeds, indicating extensive historical mixing and population expansion linked to ancient and recent evolutionary events.

Research Objective and Background

  • Investigate the genetic diversity, population structure, and evolutionary history of native Kazakhstani horse breeds using mitochondrial DNA (mtDNA) markers.
  • Focus on four native breeds: Kazakh, Kostanay, Adai, and Mugalzhar, representing the genetic pool of horses in Kazakhstan.
  • Understand how historical gene flow and population dynamics have shaped the current genetic makeup of these horses.
  • Place Kazakhstani horses within a broader phylogenetic and evolutionary context relative to global domestic horse lineages.

Methods and Genetic Markers Used

  • Analysis of mitochondrial DNA, specifically the cytochrome oxidase I (COI) and cytochrome b (cytb) genes, which are commonly used for studying maternal lineage and evolutionary relationships.
  • Examination of genetic diversity metrics such as haplotype diversity (number and frequency of different maternal lineages) and nucleotide diversity (average genetic difference among sequences).
  • Population structure assessments to evaluate how genetic variation is partitioned within and among breeds.
  • Phylogenetic reconstruction and haplotype network analyses were performed to visualize evolutionary connections between Kazakhstani horses and global domestic horse lineages.
  • Demographic history inferred using neutrality tests and mismatch distribution analyses to detect signals of population expansion and complexity.

Key Findings: Genetic Diversity and Population Structure

  • High haplotype diversity was observed, indicating many different maternal lineages within Kazakhstani horses.
  • Low nucleotide diversity suggests these diverse lineages do not differ greatly at the sequence level, consistent with recent population expansion or admixture among related lineages.
  • Population structure analyses revealed weak genetic differentiation among the four native breeds, meaning these breeds are not genetically distinct at the mitochondrial level.
  • Most genetic variation exists within individual populations rather than between breeds, reflecting extensive gene flow and lack of strict maternal breed boundaries.

Phylogenetic and Evolutionary Insights

  • Kazakhstani horses’ mitochondrial lineages are intermingled with global domestic horse haplotypes, indicating long-term connectivity and shared ancestry across Eurasia.
  • Phylogenetic trees and haplotype networks display a reticulate evolutionary pattern—an intricate web of connections rather than linear divergence—due to historical interbreeding.
  • The divergence of all caballine (true horses) including Kazakhstani horses dates back to approximately 0.89 million years ago (Mya) during the Pleistocene epoch.
  • Most Kazakh horse haplotypes cluster alongside various horse breeds worldwide, reflecting widespread maternal gene flow and shared evolutionary backgrounds.

Demographic History and Population Dynamics

  • Neutrality tests and mismatch distributions show signs of ancient population expansions rather than recent, sudden growth, implying complex demographic events.
  • Multimodal mismatch distribution patterns suggest multiple expansion phases and/or persistent population substructure rather than a single, panmictic expansion.
  • Expansion times calculated to be around 205 thousand years ago (Kya), overlapping with late Pleistocene environmental changes.
  • The demographic complexity reflects the interplay of ancient evolutionary processes, such as glacial cycles, and more recent dynamics associated with horse domestication and human-mediated breeding.

Conclusions and Significance

  • The maternal genetic makeup of Kazakhstani horses is characterized by high diversity and weak breed differentiation.
  • Historical gene flow across the Eurasian steppe has played a major role in shaping this genetic landscape.
  • Findings emphasize that domestic horses possess a complex and reticulate evolutionary history rather than discrete, isolated breed lineages.
  • This research contributes to understanding horse domestication, population structure, and the influence of geographic and historical factors on maternal genetic diversity.
  • It also underlines the importance of preserving genetic variation in native breeds, which carry signatures of both ancient and recent evolutionary events.

Cite This Article

APA
Ualiyeva D, Dossybayev K, Kapassuly T, Kozhakhmet A, Kozhanov Z, Kryukov K, Arita M, Torekhanov M, Torekhanov A. (2026). Mitochondrial DNA reveals high maternal diversity within a weak breed structure in native Kazakhstani horses. Front Genet, 17, 1874969. https://doi.org/10.3389/fgene.2026.1874969

Publication

ISSN: 1664-8021
NlmUniqueID: 101560621
Country: Switzerland
Language: English
Volume: 17
Pages: 1874969
PII: 1874969

Researcher Affiliations

Ualiyeva, Daniya
  • Kazakh Research Institute of Livestock and Fodder Production, Almaty, Kazakhstan.
  • Institute of Genetics and Physiology, MSHE of the Republic of Kazakhstan, Almaty, Kazakhstan.
Dossybayev, Kairat
  • Kazakh Research Institute of Livestock and Fodder Production, Almaty, Kazakhstan.
  • Institute of Genetics and Physiology, MSHE of the Republic of Kazakhstan, Almaty, Kazakhstan.
  • Faculty of Biology and Biotechnology, Farabi University, Almaty, Kazakhstan.
Kapassuly, Tilek
  • Kazakh Research Institute of Livestock and Fodder Production, Almaty, Kazakhstan.
  • Institute of Genetics and Physiology, MSHE of the Republic of Kazakhstan, Almaty, Kazakhstan.
  • Faculty of Biology and Biotechnology, Farabi University, Almaty, Kazakhstan.
Kozhakhmet, Altynay
  • Kazakh Research Institute of Livestock and Fodder Production, Almaty, Kazakhstan.
  • Institute of Genetics and Physiology, MSHE of the Republic of Kazakhstan, Almaty, Kazakhstan.
  • Faculty of Biology and Biotechnology, Farabi University, Almaty, Kazakhstan.
Kozhanov, Zhassulan
  • Kazakh Research Institute of Livestock and Fodder Production, Almaty, Kazakhstan.
Kryukov, Kirill
  • Bioinformation and DDBJ Center, National Institute of Genetics, Mishima, Shizuoka, Japan.
  • Center for Genome Informatics, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Mishima, Shizuoka, Japan.
Arita, Masanori
  • Bioinformation and DDBJ Center, National Institute of Genetics, Mishima, Shizuoka, Japan.
  • Department of Informatics, National Institute of Genetics, Mishima, Shizuoka, Japan.
Torekhanov, Merey
  • Institute of Genetics and Physiology, MSHE of the Republic of Kazakhstan, Almaty, Kazakhstan.
Torekhanov, Aibyn
  • Kazakh Research Institute of Livestock and Fodder Production, Almaty, Kazakhstan.

Conflict of Interest Statement

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

This article includes 75 references
  1. Achilli A, Olivieri A, Soares P, Lancioni H, Hooshiar Kashani B, Perego U A. Mitochondrial genomes from modern horses reveal the major haplogroups that underwent domestication. Proc. Natl. Acad. Sci. U. S. A. 109, 2449–2454.
    doi: 10.1073/pnas.1111637109pmc: PMC3289334pubmed: 22308342google scholar: lookup
  2. Almarzook S, Reissmann M, Brockmann G A. Diversity of mitochondrial DNA in three Arabian horse strains. J. Appl. Genet. 58, 273–276.
    doi: 10.1007/s13353-016-0384-zpubmed: 27966062google scholar: lookup
  3. Asanbaev T Sh. Improvement of Productivity of Kazakh Horse Breed by Crossing with Stallions of Novoaltay Breed in the Conditions of the North-East of Kazakhstan Monograph. Almaty: Evero Press.
  4. Assanbayev T, Shamshidin A, Kikebayev N, Kassymbekova L, Rzabayev T, Nurzhanova K. The creation of the bestau factory type of the Kazakh Dhzabe horse breed and a linear breeding as a Kazakh horse breed productivity increasing method in the North East Kazakhstan conditions. Ad Alta. J. Interdiscip. Res. 9 (1), 90–100.
  5. Assanbayev T, Akilzhanov R, Sharapatov T, Bektayev R, Samatkyzy D, Karabayev D. Whole genome sequencing and genome assembly of the Kazakh native horse Zhabe. Front. Genet. 15, 1466382.
    doi: 10.3389/fgene.2024.1466382pmc: PMC11551999pubmed: 39529846google scholar: lookup
  6. Bandelt H J, Forster P, Röhl A. Median-joining networks for inferring intraspecific phylogenies. Mol. Biol. Evol. 16 (1), 37–48.
  7. Barmintsev Yu N. Evolution of Horse Breeds in Kazakhstan. Alma-Ata: Kazgosizdat Press.
  8. Bolor-Oyut B, Ochirkhuyag B, Khulan J. Mitochondrial DNA study of Mongolian. Proc. Mong. Acad. Sci. 58 (02) 77–86.
    doi: 10.5564/pmas.v58i2.1007google scholar: lookup
  9. Cieslak M, Pruvost M, Benecke N, Hofreiter M, Morales A, Reissmann M. Origin and history of mitochondrial DNA lineages in domestic horses. Plos One 5 (12), e15311.
  10. Darriba D, Taboada G L, Doallo R, Posada D. jModelTest 2: more models, new heuristics and parallel computing. Nat. Methods 9 (8), 772.
    doi: 10.1038/nmeth.2109pmc: PMC4594756pubmed: 22847109google scholar: lookup
  11. Der Sarkissian C, Ermini L, Schubert M, Yang M A, Librado P, Fumagalli M. Evolutionary genomics and conservation of the endangered Przewalski's horse. Curr. Biol. 25 (19), 2577–2583.
    doi: 10.1016/j.cub.2015.08.032pmc: PMC5104162pubmed: 26412128google scholar: lookup
  12. Drummond A J, Suchard M A, Xie D, Rambaut A. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol. Biol. Evol. 29, 1969–1973.
    doi: 10.1093/molbev/mss075pmc: PMC3408070pubmed: 22367748google scholar: lookup
  13. Dupanloup I, Schneider S, Excoffier L. A simulated annealing approach to define the genetic structure of populations. Mol. Ecol. 11, 2571–2581.
  14. Eisenmann V. Origins, dispersals, and migrations of (Mammalia, Perissodactyla). in Mammalian Migration and Dispersal Events in the European Quaternary. Editors von Koenigswald W., Werdelin L. (Frankfurt: Courier Forschungsinstitut Senckenberg; ), 161–170.
  15. Excoffier L, Lischer H E. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Resour. 10 (3), 564–567.
  16. Fages A, Hanghøj K, Khan N, Gaunitz C, Seguin-Orlando A, Leonardi M. Tracking five millennia of horse management with extensive ancient genome time series. Cell 177 (6), 1419–1435.
    doi: 10.1016/j.cell.2019.03.049pmc: PMC6547883pubmed: 31056281google scholar: lookup
  17. nFigTree v1.4.4. (2026). Institute of Evolutionary Biology. Edinburgh: University of Edinburgh. Available online at: http://tree.bio.ed.ac.uk/software/figtree/(Accessed on February 10, 2026).
  18. nfluxus-engineering (2026). Expertise In Software For Genetics And Engineering. Available online at: http://www.fluxus-engineering.com (Accessed January 15, 2026).n
  19. Fu YX. Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics 147, 915–925.
    doi: 10.1093/genetics/147.2.915pmc: PMC1208208pubmed: 9335623google scholar: lookup
  20. Galtier N, Nabholz B, Glémin S, Hurst GD. Mitochondrial DNA as a marker of molecular diversity: a reappraisal. Mol. Ecol. 18 (22), 4541–4550.
  21. Gemingguli M, Iskhan KR, Li Y, Qi A, Wunirifu W, Ding LY. Genetic diversity and population structure of Kazakh horses () inferred from mtDNA sequences. Genet. Mol. Res. 15 (4) 1–15.
    doi: 10.4238/gmr.15048618pubmed: 27808359google scholar: lookup
  22. Guo X, Pei J, Chu M, Wu X, Bao P, Ding X. The complete mitochondrial genome of Hequ horse. Mitochondrial DNA Part A 27 (6), 4657–4658.
    doi: 10.3109/19401736.2015.1106489pubmed: 26677877google scholar: lookup
  23. Harpending HC. Signature of ancient population growth in a low-resolution mitochondrial DNA mismatch distribution. Hum. Biol. 66, 591–600.
    pubmed: 8088750
  24. Hebert PD, Cywinska A, Ball SL, deWaard JR. Biological identifications through DNA barcodes. Proc. Biol. Sci. 270 (1512), 313–321.
    doi: 10.1098/rspb.2002.2218pmc: PMC1691236pubmed: 12614582google scholar: lookup
  25. Heintzman PD, Zazula GD, MacPhee RD, Scott E, Cahill JA, McHorse BK. A new genus of horse from Pleistocene North America. eLife 6 (1), e29944.
    doi: 10.7554/eLife.29944pmc: PMC5705217pubmed: 29182148google scholar: lookup
  26. Ibiş O. Türkiye anadolu eşeği ()’nin Mitogenom karakterizasyonu ve filogenetik İlişkileri. Mitogenome characterization and phylogenetic relationships of Anatolian donkey (). Turkish J. Agric. Res. 6 (3), 257–267.
    doi: 10.19159/tutad.569435google scholar: lookup
  27. Irwin DM, Kocher TD, Wilson AC. Evolution of the cytochrome b gene of mammals. J. Mol. Evol. 32 (2), 128–144.
    doi: 10.1007/BF02515385pubmed: 1901092google scholar: lookup
  28. Jansen T, Forster P, Levine MA, Oelke H, Hurles M, Renfrew C. Mitochondrial DNA and the origins of the domestic horse. PNAS 99 (16), 10905–10910.
    doi: 10.1073/pnas.152330099pmc: PMC125071pubmed: 12130666google scholar: lookup
  29. Jiang Q, Wei Y, Huang Y, Jiang H, Guo Y, Lan G. The complete mitochondrial genome and phylogenetic analysis of the debao pony (). Mol. Biol. Rep. 38, 593–599.
    doi: 10.1007/s11033-010-0145-8pubmed: 20390359google scholar: lookup
  30. Jonsson H, Schubert M, Seguin-Orlando A, Ginolhac A, Petersen L, Fumagalli M. Speciation with gene flow in equids despite extensive chromosomal plasticity. Proc. Natl. Acad. Sci. U.S.A. 111, 18655–18660.
    doi: 10.1073/pnas.1412627111pmc: PMC4284605pubmed: 25453089google scholar: lookup
  31. Kabylbekova D, Assanbayev T S, Kassymbekova Sh, Kantanen J. Genetic studies and breed diversity of Kazakh native horses: a comprehensive review. Adv. Life Sci. 11 (1), 18–27.
  32. Kalbfleisch T S, Rice E S, DePriest M S Jr, Walenz B P, Hestand M S, Vermeesch J R. Improved reference genome for the domestic horse increases assembly contiguity and composition. Commun. Biol. 1, 197.
    doi: 10.1038/s42003-018-0199-zpmc: PMC6240028pubmed: 30456315google scholar: lookup
  33. Kelle J, Carmon J, Pucherelli S, Hosler D. Identification of unknown organisms by DNA barcoding: a molecular method for species classification. Tech. Memo. 86, 14–15.
  34. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 35, 1547–1549.
    doi: 10.1093/molbev/msy096pmc: PMC5967553pubmed: 29722887google scholar: lookup
  35. Kusliy M A, Druzhkova A S, Popova K O, Vorobieva N V, Makunin A I, Yurlova A A. Genotyping and coat colour detection of ancient horses from Buryatia. Tsitologiia 58 (4), 304–308.
    pubmed: 30191698
  36. Kusliy M A, Vorobieva N V, Tishkin A A, Makunin A I, Druzhkova A S, Trifonov V A. Traces of late bronze and early Iron Age Mongolian horse mitochondrial lineages in modern populations. Genes 12, 412.
    doi: 10.3390/genes12030412pmc: PMC8000342pubmed: 33809280google scholar: lookup
  37. Levine M A. Botai and the origins of horse domestication. J. Anthropol. Archaeol. 18, 29–78.
    doi: 10.1006/jaar.1998.0332google scholar: lookup
  38. Librado P, Der Sarkissian C, Ermini L, Schubert M, Jónsson H, Albrechtsen A. Tracking the origins of Yakutian horses and the genetic basis for their fast adaptation to subarctic environments. Proc. Natl. Acad. Sci. U.S.A. 112 (50), E6889–E6897.
    doi: 10.1073/pnas.1513696112pmc: PMC4687531pubmed: 26598656google scholar: lookup
  39. Librado P, Khan N, Fages A, Warinner C, Louvel G, Foti L. Origin and spread of domestic horses from the Western Eurasian steppes. Nature 598, 634–640.
    doi: 10.1038/s41586-021-04018-9pmc: PMC8550961pubmed: 34671162google scholar: lookup
  40. Lippold S, Matzke N J, Reissmann M, Hofreiter M. Whole mitochondrial genome sequencing of domestic horses reveals incorporation of extensive wild horse diversity during domestication. BMC Evol. Biol. 11, 328.
    doi: 10.1186/1471-2148-11-328pmc: PMC3247663pubmed: 22082251google scholar: lookup
  41. Lira Garrido J, Tressières G, Chauvey L, Schiavinato S, Calvière-Tonasso L, Seguin-Orlando A. The genomic history of Iberian horses since the last ice age. Nat. Commun. 16, 7098.
    doi: 10.1038/s41467-025-62266-zpmc: PMC12317975pubmed: 40753154google scholar: lookup
  42. Luo Y, Chen Y, Liu F, Jiang C, Gao Y. Mitochondrial genome sequence of the Tibetan wild ass. Mitochondrial DNA 22 (1-2), 6–8.
    doi: 10.3109/19401736.2011.588221pubmed: 21732718google scholar: lookup
  43. MacFadden B J. Fossil horses from “Eohippus” () to : scaling, Cope’s Law, and the evolution of body size. Paleobiology 12 (4), 355–369.
    doi: 10.1017/s0094837300003109google scholar: lookup
  44. McCue M. E., Bannasch D. L., Petersen J. L., Gurr J., Bailey E., Binns M. M.. A high density SNP array for the domestic horse and extant perissodactyla: utility for association mapping, genetic diversity, and phylogeny studies. Plos Genet 8 (1), e1002451.
  45. Nechaev I. N., Torekhanov A., Zhumagul A., Sizonov G., Zhaytapov T., Kikebaev N.. Kazakh Horse: Past, Present, Future. Almaty: Edelweiss Press.
  46. Nguyen T. B., Paul R. C., Okuda Y., Le T. N. A., Pham P. T. K., Kaissar K. J.. Genetic characterization of Kushum horses in Kazakhstan based on haplotypes of mtDNA and Y chromosome, and genes associated with important traits of the horses. J. Equine Sci. 31 (3), 35–43.
    doi: 10.1294/jes.31.35pmc: PMC7538259pubmed: 33061782google scholar: lookup
  47. Olsen S. L.. Early horse domestication on the Eurasian steppe. in Documenting Domestication: New Genetic and Archaeological Paradigms. Editor Zeder M. A., Bradley D. G., Emshwiller E., Smith B. D. (Berkeley, CA, USA: University of California Press; ), 245–269.
  48. Orazymbetova Z., Ualiyeva D., Dossybayev K., Torekhanov A., Sydykov D., Mussayeva A.. Genetic diversity of Kazakhstani (linnaeus, 1758) horse breeds inferred from microsatellite markers. Vet. Sci. 10, 598.
    doi: 10.3390/vetsci10100598pmc: PMC10611244pubmed: 37888550google scholar: lookup
  49. Orlando L., Ginolhac A., Zhang G., Froese D., Albrechtsen A., Stiller M.. Recalibrating evolution using the genome sequence of an early middle Pleistocene horse. Nature 499 (7456), 74–78.
    doi: 10.1038/nature12323pubmed: 23803765google scholar: lookup
  50. Outram A. K., Stear N. A., Bendrey R., Olsen S., Kasparov A., Zaibert V.. The earliest horse harnessing and milking. Science 323 (5919), 1332–1335.
    doi: 10.1126/science.1168594pubmed: 19265018google scholar: lookup
  51. Pozharskiy A., Abdrakhmanova A., Beishova I., Shamshidin A., Nametov A., Ulyanova T.. Genetic structure and genome-wide association study of the traditional Kazakh horses. Animal 17 (9), 100926.
    doi: 10.1016/j.animal.2023.100926pubmed: 37611435google scholar: lookup
  52. Rambaut A., Drummond A. J., Xie D., Baele G., Suchard M. A.. Posterior summarization in Bayesian phylogenetics using tracer 1.7. Syst. Biol. 67, 901–904.
    doi: 10.1093/sysbio/syy032pmc: PMC6101584pubmed: 29718447google scholar: lookup
  53. Ramos-Onsins S. E., Rozas J.. Statistical properties of new neutrality tests against population growth. Mol. Biol. Evol. 19, 2092–2100.
  54. Ritchie A. M., Lo N., Ho S. Y. W.. The impact of the tree prior on molecular dating of data sets containing a mixture of inter- and intraspecies sampling. Syst. Biol. 66, 413–425.
    doi: 10.1093/sysbio/syw095pubmed: 27798404google scholar: lookup
  55. Ronquist F., Teslenko M., van der Mark P., Ayres D. L., Darling A., Höhna S.. MrBayes 3.2: efficient bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 61, 539–542.
    doi: 10.1093/sysbio/sys029pmc: PMC3329765pubmed: 22357727google scholar: lookup
  56. Rozas J., Ferrer-Mata A., Sánchez-DelBarrio J. C., Guirao-Rico S., Librado P., Ramos-Onsins S. E.. DnaSP 6: DNA sequence polymorphism analysis of large data sets. Mol. Biol. Evol. 34 (12), 3299–3302.
    doi: 10.1093/molbev/msx248pubmed: 29029172google scholar: lookup
  57. Rzabaev S., Rzabaev T. S.. Zootechnical characteristics of new genotypes of Kazakh horses of the jabe type. Konevod. I Konnyi Sport 3, 27–29.
  58. Rzabayev S. S.. Mugalzhar horse breed. LLP “Information and Printing Center - Kokzhiyek. Kazakhstan: Aktobe, 154.
  59. Sambrook J., Fritsch E. R., Maniatis T.. Molecular Cloning: A Laboratory Manual. 2nd ed. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press.
  60. Schubert M., Jónsson H., Chang D., Der Sarkissian C., Ermini L., Ginolhac A.. Prehistoric genomes reveal the genetic foundation and cost of horse domestication. Proc. Natl. Acad. Sci. U.S.A. 111 (52), E5661–E5669.
    doi: 10.1073/pnas.1416991111pmc: PMC4284583pubmed: 25512547google scholar: lookup
  61. Schubert M., Mashkour M., Gaunitz C., Fages A., Seguin-Orlando A., Sheikhi S.. Zonkey: a simple, accurate and sensitive pipeline to genetically identify equine F1-hybrids in archaeological assemblages. J. Archaeol. Sci. 78, 147–157.
    doi: 10.1016/j.jas.2016.12.005google scholar: lookup
  62. Seleuova L. A., Naimanov D. K., Jarowski Z., Aubakirov M.Zh., Mustafin B. M., Safronova O. S.. Population genetic characteristics of horses of Mugalzhar breed by STR-Markers. Biomed. Res. 29 (18), 3508–3511.
  63. Sheikh A., Ahmed M., Mutawakil M., Saini K., Alsulaimany F., Hanafy A.. SNP mapping and phylogenetic analysis of Saudi Arabian horse breeds based on mitochondrial genome sequencing. Indian J. Exp. Biol. (IJEB) 57 (4), 225–230.
  64. Sizonov G. V., Imangaliev A. I., Nauryzmaganbetov K., Zhabasov K., Nechayev I. N., Abishuly S.. Pedigree Breed “ADAI” Horse”. Patent for Selection Achievement. No.1115. Association of Unions of Legal Entities and Individual Enterpreneuers. Republic of Kazakhstan, 29.12..
  65. Tajima F.. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics 123, 585–595.
    doi: 10.1093/genetics/123.3.585pmc: PMC1203831pubmed: 2513255google scholar: lookup
  66. Townzen J. S., Brower A. V., Judd D. D.. Identification of mosquito bloodmeals using mitochondrial cytochrome oxidase subunit I and cytochrome b gene sequences. Med. Vet. Entomol. 22 (4), 386–393.
  67. Vilstrup J. T., Seguin-Orlando A., Stiller M., Ginolhac A., Raghavan M., Nielsen S. C.. Mitochondrial phylogenomics of modern and ancient equids. Plos One 8 (2), e55950.
  68. Vorobieva N. V., Makunin A. I., Druzhkova A. S., Kusliy M. A., Trifonov V. A., Popova K. O.. High genetic diversity of ancient horses from the Ukok Plateau. Plos One 15 (11), e0241997.
  69. Weingarten A., Häusler M., Serangeli J., Verheigen I., Reiter E., Radzevičiūtė R.. Mitochondrial genomes of middle Pleistocene horses from the open-air site complex of Schöningen. Nat. Ecol. Evol. 9, 2248–2258.
    doi: 10.1038/s41559-025-02859-5pmc: PMC12680542pubmed: 41034648google scholar: lookup
  70. Weinstock J, Willerslev E, Sher A, Tong W, Ho S Y, Rubenstein D. Evolution, systematics, and phylogeography of Pleistocene horses in the new world: a molecular perspective. Plos Biol 3 (8), e241.
  71. Wilson D E, Reeder D M. Mammal Species of the World: A Taxonomic and Geographic Reference. 3rd ed., Vol. 1. Baltimore, MD, USA: Johns Hopkins University Press, 2142.
  72. Xiao X, Yang S, Lin D, Wang Y, Hua Y, Wang Y. The complete mitochondrial genome and phylogenetic analysis of Chinese jianchang horse. Clon Transgen 5, 149.
    doi: 10.4172/2168-9849.1000149google scholar: lookup
  73. Xu S, Luosang J, Hua S, He J, Ciren A, Wang W. High altitude adaptation and phylogenetic analysis of Tibetan horse based on mitochondrial genome. J. Genet. Genomics 34 (8), 720–729.
    doi: 10.1016/S1673-8527(07)60081-2pubmed: 17707216google scholar: lookup
  74. Yang Y, Zhu Q, Liu S, Zhao Ch, Wu Ch. The origin of Chinese domestic horses revealed with novel mtDNA variants. Animal Sci. J. 88 (1), 19–26.
    doi: 10.1111/asj.12583pubmed: 27071843google scholar: lookup
  75. Yuan J, Sheng G, Preick M, Sun B, Hou X, Chen S. Mitochondrial genomes of late Pleistocene caballine horses from China belong to a separate clade. Quat. Sci. Rev. 250, 106691.

Citations

This article has been cited 0 times.