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Anim Biosci > Volume 35(8); 2022 > Article
Hong, Oh, Kim, Kang, and Shin: Genetic analysis of mitochondrial DNA from ancient Equus caballus bones found at archaeological site of Joseon dynasty period capital area



To understand the domestication and spread of horses in history, genetic information is essential. However, mitogenetic traits of ancient or medieval horses have yet to be comprehensively revealed, especially for East Asia. This study thus set out to reveal the maternal lineage of skeletal horse remains retrieved from a 15th century archaeological site (Gongpyeongdong) at Old Seoul City in South Korea.


We extracted DNA from the femur of Equus caballus (SNU-A001) from Joseon period Gongpyeongdong site. Mitochondrial (mt) DNA (HRS 15128-16116) of E. caballus was amplified by polymerase chain reaction. Cloning and sequencing were conducted for the mtDNA amplicons. The sequencing results were analyzed by NCBI/BLAST and phylogenetic tool of MEGA7 software.


By means of mtDNA cytochrome b and D-loop analysis, we found that the 15th century Korean horse belonged to haplogroup Q representing those horses that have historically been raised widely in East Asia.


The horse is unique among domesticated animals for the remarkable impact it has on human civilization in terms of transportation and trade. Utilizing the Joseon-period horse remains, we can obtain clues to reveal the genetic traits of Korean horse that existed before the introduction of Western horses.


Among the most pivotal events in human history was the domestication of wild animals. Once animals could be utilized as livestock, they provided daily labor as well as necessities in the form, for example, of clothing and food, all for the maintenance of human civilization [13]. The horse has a unique position in history, as it had perhaps the most profound impact on human society, having decisively influenced transportation, trade, and human life itself [4]. The advent of interregional communication, the expansion of trade, the enhancement of agricultural productivity, and even the spread of diseases - all were accelerated using by the use of domesticated horses [5].
The horse, despite its relatively low population density, has shown the widest geographic distribution among livestock [3]. During the Pleistocene, large herds of Equus ferus (wild horses) roamed the plains of Asia, Africa, Europe, and North America, though their habitats had become somewhat reduced by the end of the Ice Age [6]. The earliest domestication of the horse seems to have occurred on the Kazakhstan steppes between the fifth and fourth millennia BCE [7]. The overall genetic and archaeological evidence obtained to date shows evidence of several horse domestications in a variety of regions [4,815].
Over the past several decades, genetic analyses on mito chondrial DNA (mtDNA) have been performed for different horse breeds. The first-ever report of full-sequence horse mtDNA (16,660 bp) was that of Xu and Arnason [16]. From then on, many researchers have continued to conduct mtDNA research on the following subjects: Japanese domestic horse [17], Jeju Island horse [18], African ass, plains zebra and horse [19], equid remains from archaeological sites of late-Pleistocene deposits [8], Oriental and European breeds along with American mustangs [9], German heavy draught horse breeds [20], Iberian horses [21], indigenous ancient and modern Irish horse populations [10], ancient Chinese domestic horse [22], domestic horses in modern China [11], ancient Iberian horse remains [12], whole mitochondrial genomes of domestic and E. przewalskii horses [4], as well as mitogenomes of modern horses in Asia, Europe, and the Americas [13]. Recently, Cieslak et al [23], Achilli et al [13], and Yang et al [15] all reported that horses could be genetically classified into several major mitochondrial lineages (A to G) and 19 clusters.
Such genetic information is crucial to any comprehensive understanding of the domestication of horses and their subsequent geographical spread in history. However, those studies notwithstanding, the accumulated mitogenetic data on ancient or medieval horses remains insufficient. This is true especially for Korean horses. Our current study therefore was undertaken to uncover genetic information on skeletal horse remains collected at a 15th century archaeological site located in the capital (Old Seoul City) of the Joseon Kingdom (1392–1910 CE). We endeavored to obtain insights into the genetic traits of the medieval Korean horse that had prevailed in Korea prior to the introduction of Western horses in the 20th century.


Sample collection

The Gongpyeongdong archaeological site is located in the area of Old Seoul City (Hansung) of the Joseon Dynasty period (Figure 1A). The archaeological investigation was conducted by the Research Institute of Buddhist Cultural Heritage (Seoul, South Korea). Among the excavation sites including a residence, lavatory, drainage facility, and furnace, among others, animal bones were retrieved from 15th century pits (#1 to #3; layer VI) (Supplementary Table S1) [24]. A zooarchaeological examination confirmed the bones to be those of a horse [24] (Figure 1B, 1C). Among the samples, SNU-A001 (#1 of layer VI) was used for ancient DNA analysis. We followed the instructions of Hofreiter et al [25] and Ho and Gilbert [26] in protecting the authenticity of our ancient DNA (aDNA) analysis. Briefly, during the sampling and subsequent aDNA analysis, no one other than one researcher (Hong JH) doing lab work was allowed to be in contact with the samples. Also, our molecular work was carried out in a specialized facility exclusively dedicated to aDNA analysis. The tools used in the sampling and aDNA analysis, moreover, were sterilized, and the researcher wore contamination-free gloves, masks, and gowns [26].

aDNA extraction, purification, and isolation

We used the femurs of Equus caballus (SNU-A001) as the specimen for our aDNA analysis. DNA extraction was performed following the protocol described in one of our earlier papers [2]. Briefly, the bone surface was abraded, irradiated under ultraviolet light, and subsequently treated in sodium hypochlorite (5.4%). After being dried, the sample was powdered with SPEX 6750 Freezer/Mill (SPEX SamplePrep, Metuchen, NJ, USA). A portion of powdered sample (0.3 g) was incubated in lysis buffer (pH 8.0). DNA was extracted and purified with phenol-chloroform-isoamyl alcohol (25:24:1), chloroform-isoamyl alcohol (24:1), and a QIAmp PCR purification kit (QIAGEN, Hilden, Germany) [2].

Polymerase chain reaction, cloning and sequencing

The extracted DNA (40 ng) was treated with uracil-DNA-glycosylase and subsequently mixed with AmpliTaq Gold 360 Master Mix (Thermo Fisher Scientific, Waltham, MA, USA) and primer sets (Integrated DNA Technology, Coralville, IA, USA). Polymerase chain reaction (PCR) amplification was conducted using the SimpliAmp Thermal Cycler (Applied Biosystems, Waltham, MA, USA). Figure 2 and Table 1 summarizes the data on the primers and PCR conditions, and the locations of amplicons. Amplified DNA products were separated by gel electrophoresis. PCR amplicons were then extracted using the QIAquick Gel Extraction Kit (Qiagen, Germany). Next, bacterial transformation was conducted with the pGEM-T Easy Vector system (Promega Corporation, Madison, WI, USA). Transformed bacteria were cultivated on an agar plate with ampicillin, IPTG and X-GAL. After the harvested colony was allowed to proliferate in LB media, the bacteria were purified with a QIAprep Spin Miniprep kit (Qiagen, Germany). The sequencing of the cloned DNA was conducted by the 3730xl DNA Analyzer (Applied Biosystems, USA) and with the BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems, USA) [2,27]. To determine the consensus sequence, multiple alignments of clone sequences were conducted using the MEGA7 program [27]. The consensus sequence will be available in GenBank with accession number OM222617.

Comparative study

The NCBI/BLAST tool compared the Gongpyeongdong consensus sequence with those retrieved from the GenBank database at the National Center for Biotechnology Information (NCBI). Web Browser Module and Alignment Explorer of MEGA7 program [27] were used to retrieve the DNA sequences from GenBank. The retrieved sequences were E. caballus mtDNA including cytochrome b (HRS 15128–15327), tRNA (HRS 15328–15468), and D-loop sequences (HRS 15469–16116) from South Korea (n = 11), Mongolia (n = 13), China (n = 11), Europe (n = 19), Middle East (n = 14), Central Asia (n = 5), and North America (n = 2). The DNA sequences of E. przewalskii (n = 4), E. asinus (n = 1), and E. grevyi (n = 1) also were used as outgroups. Of the retrieved taxa, the South Korean horses belonged to the modern Jeju Island breed reported by Kim et al [18] and Yoon et al [28]. With the homologous taxa of the GenBank database, multiple sequence alignments were conducted for Gongpyeongdong sequence using the ClustalW of MEGA7 program [27].

Phylogenetic analysis

We additionally conducted a pairwise distance analysis. Base substitutions were counted per site to conjecture the evolutionary divergence between taxa. The sequences’ pairwise distance was calculated using the maximum composite likelihood model implemented in the MEGA7 program [27]. The setup of the analysis followed the protocol presented in an earlier report of ours [2]. E. asinus (NC_001788.1) and E. grevyi (NC_020432.2) were used as the outgroups. The genetic relationship of the sequences was further conjectured by means of a Phylogeny Reconstruction analysis with the MEGA7 program [27]. The taxa used in this analysis are summarized in Supplementary Table S2. The maximum likelihood (ML) method was used as well. As for the analysis setup, we again followed our previous report [2], except for the use of the Hasegawa-Kishino-Yano method for the phylogenetic tree model [27]. To determine the reliability of the constructed phylogenetic tree, bootstrapping was conducted (replication number = 500) using the MEGA7 program [2,27]. The haplogroups of E. caballus were estimated according to the information prescribed in Achilli et al [13], Gaunitz et al [14], and Ning et al [29].


The PCR products of the specimens under electrophoresis were shown as specific bands (11 amplicons) for the cytochrome b, tRNA, and D-loop region of E. caballus mtDNA, while no amplified bands were observed in the extractions of the negative controls (Figure 3). The cloned PCR products (n = 5 for each amplicon) were then sequenced and aligned to determine the consensus sequence (total length: 989 bp) (Supplementary Table S3). In NCBI/BLAST search, we could not find any taxa 100% identical to the Gongpyeongdong horse mtDNA sequence. Nevertheless, some sequences in GenBank showed remarkably high similarity (above 99%), as follows (Table 2): E. caballus reported from South Korea (KF038159.1, 99.49%; KF038162.1, 97.57%), Iran (JN398455.1, 99.49%), China (MG001421.1, 99.39%; MG001418.1, 99.39%; MG001419.1, 99.29%), and Central Asia (JN398452.1, 99.39%; JN398450.1, 99.09%) (Figure 4).
As seen in Table 2, we also found that the Gongpyeong dong mitotype shares 97.97% identity with E. przewalskii, which is not much different from other E. caballus horses (ranging approximately from 97% to 99% identity). On the other hand, the Gongpyeongdong mitotype is distinct from those of the donkey (E. asinus; 95.94%) and imperial zebra (E. grevyi; 90.86%). This pattern was further confirmed by pairwise distance analysis. As seen in Figure 5, the outgroup breeds (E. asinus and E. grevyi) were genetically remote (0.076 and 0.082, respectively) from the Gongpyeongdong case, whereas the pairwise distances remarkably close to the latter were those of E. caballus taxa reported from South Korea (0.005), Iran (0.005), China (0.006 to 0.008), Central Asia (0.008), and other countries (Figure 5). Using mtDNA cytochrome b, tRNA, and D-loop sequences of the Gongpyeongdong case and other E. caballus taxa from GenBank, the phylogenetic tree could be reconstructed (Figure 6).
E. przewalskii horse, which inhabits the Mongolian grasslands, is morphologically distinct from modern horses, and thus has been thought to be the direct descendant of wild horse E. ferus [13]. However, Ishida et al [17] revealed by phylogenetic analysis that E. przewalskii is within the genetic variation of the Japanese domestic horse. They conjectured that the chromosome number change of E. przewalskii might have occurred rather recently. Another recent study revealed that E. przewalskii is likely a horse that was domesticated once and then returned to the wild, like the mustang of North America [14].
In Korean history, descriptions of domesticated horses are seen as early as the 2nd century BCE [3]. In the 12th century CE, Koreans determined their horses to be comprised of at least six breeds, as dependent on their body shapes [3]. However, those classifications were based only on appearance, not on any scientific evidence. In this regard, the Jeju Island horse (Jorangmal in Korean) is important to any understanding of the genetic traits of ancient or medieval Korean horses because Western horses were actively introduced starting in the 20th century, with the result that indigenous Korean horses became much rarer. Actually, many scholars consider the Jeju Island horse to represent the indigenous Korean horse populations [30].
Nevertheless, as historical and genetic research on horses proceeded, it turned out that the reality was not so simple. For instance, when Mongolians invaded the Korean Kingdom in 1276, they established ranches on Jeju Island to raise their horses. Therefore, the genetic traits of Jeju Island horses might have been seriously influenced by introgression of Mongolian breeds [3]. In fact, this conjecture was further confirmed by an mtDNA D-loop analysis exhibiting multiple origins (possibly representing Mongolian and non-Mongolian breeds) in Jeju Island horses’ maternal lineage [18]. Simply put, indigenous Korean horses have not remained the same but have been constantly changed by introgression of foreign horses in history [3,30]. This hypothesis also was supported by our phylogenetic analysis (ML method) findings. Based on the previous reports of mtDNA haplogroup using cytb and D-loop sequences [13,14,18,28,29,3136] (Supplementary Table S4), the Gongpyeongdong horse was clustered together with the E. caballus taxa of haplogroup Q. According to Achilli et al [13], a horse haplogroup such as Q shows frequency peaks in Asia (13.80%) and a decline to the Middle East (10.42%) and Europe (3.85%). Ning et al [29] also confirmed that the genetic origin of haplogroup Q is likely East Asia [29]. In this sense, the present Gongpyeongdong case, the 15th century horse bones found on the mainland of Korea, can be regarded as genetically representative of the horses long established in East Asia. In the phylogenetic tree, we also noted that Jeju Island horses belong to the different clades of B, D, E, I, J, O, and Q (Figure 6). Among them, haplogroups O and Q are mostly localized to East Asia [13,29]; the ancestral haplotypes of haplogroup D, moreover, also have been localized to Asia [29]. On the other hand, the Jeju Island horse of haplogroup I looks somewhat different from those of haplogroups D, O, and Q, because the former is known to be common among Western and Southern European horses [29]. Taken together, modern Jeju Island horses include different maternal haplogroups with various genetic backgrounds. We can conjecture that various horse breeds with different genetic origins left their genetic traits among modern Korean horses.


By obtaining a consensus mtDNA sequence from a horse bone collected at a 15th century archaeological site (Gongpyeongdong) in Old Seoul City, we confirm that the horse belongs to haplogroup Q, the genetic origin of which could be traced back to East Asia. Our data reported on the maternal lineage of Joseon period horse bones are meaningful for understanding the domestication history in East Asia, which has yet to be comprehensively revealed. We look forward to further relevant aDNA reports on ancient or medieval horse bones found at South Korean archaeological sites.



We certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript.


This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2019S1A5C2A01083578; 2020R1I1A1A010 73501).


Supplementary file is available from: https://doi.org/10.5713/ab.21.0500
Supplementary Table S1. The information on Gongpyeongdong samples discovered in layer VI.
Supplementary Table S2. The information of taxa used for phylogenetic analysis in Figure 6.
Supplementary Table S3. Alignment of cloned DNA sequences to determine the consensus sequence of the Gongpyeongdong horse mtDNA cytochrome b, tRNA, and D-loop region. E.c_1 to E.c_11 represent the primer sets in Table 1.

Figure 1
Archaeological context of the ancient horse bone in this study. (A) Geographic location of Gongpyeong-dong site (red dot) in Seoul, South Korea. (B) Map of archaeological site. The pit where horse bones were found is marked by a red arrow. (C) The horse bones used for this study.
Figure 2
Amplification region of Equus caballus mitochondrial DNA. To recover ancient DNA sequence from Gongpyeongdong horse bone, each primer sets (E.c_1 to E.c_11) were designed to overlap the sequences of neighboring amplicon partially.
Figure 3
Agarose gel electrophoresis of the polymerase chain reaction amplified products from Gongpyeongdong horse bone. E.c_1 to E.c_11 represent specific amplicons (indicated by arrows) summarized in Table 1. NC, negative control.
Figure 4
Comparison of the consensus sequence of Gongpyeongdong horse mtDNA with other sequences retrieved from GenBank.
Figure 5
Pairwise distances between Gonpyeongdong horse and other related taxa retrieved from GenBank.
Figure 6
Phylogenetic analysis of the ancient horse (SNU-A001) (red dot) and the other horses retrieved from GenBank. Blue dots represent the taxa of modern Jeju horses. Numbers next to each node are bootstrap percentages. Scale shows the number of substitutions per site that are represented by a branch line of a particular length. Mitochondrial haplogroups are also marked.
Table 1
The primers and polymerase chain reaction conditions in used this study
Items Primer 5′ to 3′ Annealing Temp. (°C) Length (bp)
mtDNA primer set
 E.c_1 E.c-1F CCA CAT ATC AAA ACA ACG AA 56 225
 E.c_2 E.c-2F CTT CTC CCT AAT TCT CAT T 55 208
 E.c_3 E.c-3F GTT TCC TCC CAA GGA CTA TC 56 207
 E.c_4 E.c-4F CCC CCA CAT AAC ACC ATA CC 56 162
 E.c_5 E.c-5F CCC ACC TGA CAT GCA ATA TCT T 56 175
 E.c_6 E.c-6F GCA TAC CCC ATC CAA GTC AA 55 102
 E.c_7 E.c-7F TAT CAC AGC CCA TGT TCC AC 56 155
 E.c_8 E.c-8F CCA ACT ACG TGT CCC AAT CC 55 176
 E.c_9 E.c-9F ACC TGG CAT CTG GTT CTT TCT 55 134
 E.c_10 E.c-10F CTA ATC AGC CCA TGC TCA CA 55 168
 E.c_11 E.c-11F ATG ACT CAG CTA TGG CCG TC 56 143
PCR conditions
 Pre-denaturation 95°C; 10 min
 Denaturation 95°C; 30 s 42 cycles
 Annealing 55°C to 56°C; 30 s
 Extension 72°C; 30 s
 Final extension 72°C; 10 min

PCR, polymerase chain reaction.

Table 2
BLAST searching results indicate coverage and percent identity of each taxon comparing to consensus sequence of SNU-A001 mtDNA (HRS 15128–16116)
Species Total score (BLAST) Coverage (%) Percent identity (%) Geographical region Accession number
E. caballus 1,799 100 99.49 South Korea KF038159.1
1,799 100 99.49 Iran JN398455.1
1,794 100 99.39 China MG001421.1
1,783 99 99.39 China MG001418.1
1,783 99 99.39 Central Asia JN398452.1
1,777 99 99.29 China MG001419.1
1,777 100 99.09 Central Asia JN398450.1
1,709 99 98.07 Ancient Russia KT757759.1
1,703 100 97.78 China FJ718998.1
1,703 100 97.78 North America JN398377.2
1,703 99 97.97 Syria JN398384.1
1,703 99 97.97 Middle East JN398416.1
1,698 99 97.86 Italy JN398379.1
1,698 99 97.86 China MG001426.1
1,698 100 97.67 Spain JN398443.1
1,698 100 97.67 Northern Europe JN398442.1
1,698 100 97.67 Russia KT985980.1
1,698 100 97.67 China MG001424.1
1,692 100 97.57 South Korea KF038162.1
1,692 100 97.57 China MG001447.1
1,692 99 97.76 China MG001439.1
1,692 100 97.57 China MG001443.1
1,688 99 97.66 Russia KT757740.1
E. przewalskii 1,705 99 97.97 Mongolia AP012269.1
E. asinus 1,448 100 95.94 Worldwide (Reference sequence) NC_001788.1
E. grevyi 1,408 100 90.86 NC_020432.2

GenBank accession numbers are also marked.


1. Lin M, Miracle P, Baker G. Towards the identification of the exploitation of cattle labour from distal metapodials. J Archaeol Sci 2016; 66:44–56. https://doi.org/10.1016/j.jas.2015.12.006
2. Hong JH, Oh CS, Cho CW, Shin YM, Cho TS, Shin DH. Mitochondrial DNA analysis of Bos taurus bone collected from ruins of the Joseon Period in a tributary of the Cheonggyecheon creek, South Korea. J Archaeol Sci Rep 2018; 17:785–92. https://doi.org/10.1016/j.jasrep.2017.10.019
3. Hong JH, Kang IU, Shin DH, Kim JE. Origin and diffusion of Equus caballus from the archaeological and genetic perspectives. Anat Biol Anthropol 2020; 33:57–68. https://doi.org/10.11637/aba.2020.33.2.57
4. Lippold S, Knapp M, Kuznetsova T, et al. Discovery of lost diversity of paternal horse lineages using ancient DNA. Nat Commun 2011; 2:450 https://doi.org/10.1038/ncomms1447
crossref pmid
5. Librado P, Fages A, Gaunitz C, et al. The evolutionary origin and genetic makeup of domestic horses. Genetics 2016; 204:423–34. https://doi.org/10.1534/genetics.116.194860
crossref pmid pmc
6. Clutton-Brock J. A natural history of domesticated mammals. London, UK: Cambridge University Press; 1999.

7. Outram AK, Stear NA, Bendrey R, et al. The earliest horse harnessing and milking. Science 2009; 323:1332–5. https://doi.org/10.1126/science.1168594
crossref pmid
8. Vilà C, Leonard JA, Gotherstrom A, et al. Widespread origins of domestic horse lineages. Science 2001; 291:474–7. https://doi.org/10.1126/science.291.5503.474
crossref pmid
9. Jansen T, Forster P, Levine MA, et al. Mitochondrial DNA and the origins of the domestic horse. Proc Natl Acad Sci USA 2002; 99:10905–10. https://doi.org/10.1073/pnas.152330099
crossref pmid pmc
10. McGahern AM, Edwards CJ, Bower MA, et al. Mitochondrial DNA sequence diversity in extant Irish horse populations and in ancient horses. Anim Genet 2006; 37:498–502. https://doi.org/10.1111/j.1365-2052.2006.01506.x
crossref pmid
11. Lei CZ, Su R, Bower MA, et al. Multiple maternal origins of native modern and ancient horse population in China. Anim Genet 2009; 40:933–44. https://doi.org/10.1111/j.1365-2052.2009.01950.x
crossref pmid
12. Lira J, Linderholm A, Olaria C, et al. Ancient DNA reveals traces of Iberian Neolithic and Bronze Age lineages in modern Iberian horses. Mol Ecol 2010; 19:64–78. https://doi.org/10.1111/j.1365-294X.2009.04430.x
crossref pmid
13. Achilli A, Olivieri A, Soares P, et al. Mitochondrial genomes from modern horses reveal the major haplogroups that underwent domestication. Proc Natl Acad Sci USA 2012; 109:2449–54. https://doi.org/10.1073/pnas.1111637109
crossref pmid pmc
14. Gaunitz C, Fages A, Hanghøj K, et al. Ancient genomes revisit the ancestry of domestic and Przewalski’s horses. Science 2018; 360:111–4. https://doi.org/10.1126/science.aao3297
crossref pmid
15. Yang L, Kong X, Yang S, et al. Haplotype diversity in mitochondrial DNA reveals the multiple origins of Tibetan horse. PLoS One 2018; 13:e0201564 https://doi.org/10.1371/journal.pone.0201564
crossref pmid pmc
16. Xu X, Arnason U. The complete mitochondrial DNA sequence of the horse, Equus caballus: extensive heteroplasmy of the control region. Gene 1994; 148:357–62. https://doi.org/10.1016/0378-1119(94)90713-7
crossref pmid
17. Ishida N, Oyunsuren T, Mashima S, Mukoyama H, Saitou N. Mitochondrial DNA sequences of various species of the genus Equus with special reference to the phylogenetic relationship between Przewalskii’s wild horse and domestic horse. J Mol Evol 1995; 41:180–8. https://doi.org/10.1007/BF00170671
crossref pmid
18. Kim KI, Yang YH, Lee SS, et al. Phylogenetic relationships of Cheju horses to other horse breeds as determined by mtDNA D-loop sequence polymorphism. Anim Genet 1999; 30:102–8. https://doi.org/10.1046/j.1365-2052.1999.00419.x
crossref pmid
19. Oakenfull EA, Lim HN, Ryder OA. A survey of equid mitochondrial DNA: Implications for the evolution, genetic diversity and conservation of Equus. Conserv Genet 2000; 1:341–55. https://doi.org/10.1023/A:1011559200897
20. Aberle KS, Distl O. Domestication of the horse: results based on microsatellite and mitochondrial DNA markers. Arch Anim Breed 2004; 47:517–35. https://doi.org/10.5194/aab-47-517-2004
21. Royo LJ, Álvarez I, Beja-Pereira A, et al. The origins of Iberian horses assessed via mitochondrial DNA. J Hered 2005; 96:663–9. https://doi.org/10.1093/jhered/esi116
crossref pmid
22. Cai DW, Han L, Xie CZ, Li SN, Zhou H, Zhu H. Mitochondrial DNA analysis of Bronze Age horses recovered from Chifeng region, Inner Mongolia, China. Prog Nat Sci 2007; 17:544–50. https://doi.org/10.1080/10020070708541034
23. Cieslak M, Pruvost M, Benecke N, et al. Origin and history of mitochondrial DNA lineages in domestic horses. PLoS One 2010; 5:e15311 https://doi.org/10.1371/journal.pone.0015311
crossref pmid pmc
24. Kim S, Hong JH, Shin DH. Animal bones found at Gongpyeong-dong archaeological site, the capital area of Joseon Dynasty period. Anat Biol Anthropol 2020; 33:99–105. https://doi.org/10.11637/aba.2020.33.2.99
25. Hofreiter M, Serre D, Poinar HN, Kuch M, Pääbo S. Ancient DNA. Nat Rev Genet 2001; 2:353–9.
crossref pmid pdf
26. Ho SYW, Gilbert MTP. Ancient mitogenomics. Mitochondrion 2010; 10:1–11. https://doi.org/10.1016/j.mito.2009.09.005
crossref pmid
27. Kumar S, Stecher G, Tamura K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 2016; 33:1870–4. https://doi.org/10.1093/molbev/msw054
crossref pmid pmc
28. Yoon SH, Lee W, Ahn H, Caetano-Anolles K, Park K-D, Kim H. Origin and spread of Thoroughbred racehorses inferred from complete mitochondrial genome sequences: phylogenomic and bayesian coalescent perspectives. PLoS One. 2018. e0203917 https://doi.org/10.1371/journal.pone.0203917
crossref pmid pmc
29. Ning T, Ling Y, Hu S, et al. Local origin or external input: modern horse origin in East Asia. BMC Evol Biol 2019; 19:217 https://doi.org/10.1186/s12862-019-1532-y
crossref pmid pmc
30. Cho GJ. Genetic Relationship among the Korean Native and Alien Horses Estimated by Microsatellite Polymorphism. Asian-Australas J Anim Sci 2006; 19:784–8. https://doi.org/10.5713/ajas.2006.784
31. Kusliy MA, Vorobieva NV, Tishkin AA, et al. Traces of late bronze and early iron age mongolian horse mitochondrial lineages in modern populations. Genes 2021; 12:412 https://doi.org/10.3390/genes12030412
crossref pmid pmc
32. Ma H, Wu Y, Xiang H, et al. Some maternal lineages of domestic horses may have origins in East Asia revealed with further evidence of mitochondrial genomes and HVR-1 sequences. PeerJ 2018; 6:e4896 https://doi.org/10.7717/peerj.4896
crossref pmid pmc
33. Vershinina AO, Kapp JD, Baryshnikov GF, Shapiro B. The case of an arctic wild ass highlights the utility of ancient DNA for validating problematic identifications in museum collections. Mol Ecol Reseour 2020; 20:1182–90. https://doi.org/10.1111/1755-0998.13130
34. Vorobiera NV, Makunin AI, Druzhkova AS, et al. High genetic diversity of ancient horses from the Ukok Plateau. PLoS One 2020; 15:e0241997 https://doi.org/10.1371/journal.pone.0241997
crossref pmid pmc
35. Der Sarkissian C, Ermini L, Schubert M, et al. Evolutionary genomics and conservation of the endangered Przewalski’s horse. Curr Biol 2015; 25:2577–83. https://doi.org/10.1016/j.cub.2015.08.032
crossref pmid pmc
36. Goto H, Ryder OA, Fisher AR, et al. A massively parallel sequencing approach uncovers ancient origins and high genetic variability of endangered Przewalski’s horses. Genome Biol Evol 2011; 3:1096–106. https://doi.org/10.1093/gbe/evr067
crossref pmid pmc
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