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Home / Equine Research Bank / PLoS One / Genetic diversity in the modern horse illustrated from genom...
PloS one2013; 8(1); e54997; doi: 10.1371/journal.pone.0054997

Genetic diversity in the modern horse illustrated from genome-wide SNP data.

Abstract: Horses were domesticated from the Eurasian steppes 5,000-6,000 years ago. Since then, the use of horses for transportation, warfare, and agriculture, as well as selection for desired traits and fitness, has resulted in diverse populations distributed across the world, many of which have become or are in the process of becoming formally organized into closed, breeding populations (breeds). This report describes the use of a genome-wide set of autosomal SNPs and 814 horses from 36 breeds to provide the first detailed description of equine breed diversity. F(ST) calculations, parsimony, and distance analysis demonstrated relationships among the breeds that largely reflect geographic origins and known breed histories. Low levels of population divergence were observed between breeds that are relatively early on in the process of breed development, and between those with high levels of within-breed diversity, whether due to large population size, ongoing outcrossing, or large within-breed phenotypic diversity. Populations with low within-breed diversity included those which have experienced population bottlenecks, have been under intense selective pressure, or are closed populations with long breed histories. These results provide new insights into the relationships among and the diversity within breeds of horses. In addition these results will facilitate future genome-wide association studies and investigations into genomic targets of selection.
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Publication Date: 2013-01-30 PubMed ID: 23383025PubMed Central: PMC3559798DOI: 10.1371/journal.pone.0054997Google Scholar: Lookup
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  • Research Support
  • N.I.H.
  • Extramural
  • Research Support
  • Non-U.S. Gov't
  • Research Support
  • U.S. Gov't
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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.

The research explores the genetic diversity in modern horses using genome-wide Single Nucleotide Polymorphisms (SNPs) data from 814 horses across 36 breeds, providing fresh insights into the relationships and diversity within horse breeds.

Research Methodology and Data

  • The researchers used data from 814 horses from 36 different breeds.
  • This data was represented by a genome-wide set of autosomal SNPs, which are variations at a single position in a DNA sequence among individuals.
  • Through this, they aimed to provide a detailed description of the genetic diversity in different horse breeds.

Results and Findings

  • The study results indicated relationships among breeds which largely reflect geographic origins and known breed histories.
  • It was observed that breeds early in the process of breed development showed low levels of population divergence.
  • This was also seen in breeds with high levels of within-breed diversity due to either large population size, ongoing outcrossing, or large within-breed phenotypic diversity.

Implications of the Findings

  • Low levels of within-breed diversity were observed in populations experiencing population bottlenecks, those under intense selective pressure, or those closed with long breed histories.
  • Understanding these relationships and the extent of diversity can provide new insights into horse breeds.
  • The results can facilitate future genome-wide association studies and investigations into the genomic targets of selection.

Conclusions

  • Overall, the research provides a first detailed look at the genetic diversity among different horse breeds.
  • It uncovers the key factors affecting this diversity and opens up new areas for further study and understanding.

Cite This Article

APA
Petersen JL, Mickelson JR, Cothran EG, Andersson LS, Axelsson J, Bailey E, Bannasch D, Binns MM, Borges AS, Brama P, da Câmara Machado A, Distl O, Felicetti M, Fox-Clipsham L, Graves KT, Guérin G, Haase B, Hasegawa T, Hemmann K, Hill EW, Leeb T, Lindgren G, Lohi H, Lopes MS, McGivney BA, Mikko S, Orr N, Penedo MC, Piercy RJ, Raekallio M, Rieder S, Røed KH, Silvestrelli M, Swinburne J, Tozaki T, Vaudin M, M Wade C, McCue ME. (2013). Genetic diversity in the modern horse illustrated from genome-wide SNP data. PLoS One, 8(1), e54997. https://doi.org/10.1371/journal.pone.0054997

Publication

PloS one
ISSN: 1932-6203
NlmUniqueID: 101285081
Country: United States
Language: English
Volume: 8
Issue: 1
Pages: e54997
PII: e54997

Researcher Affiliations

Petersen, Jessica L
  • University of Minnesota, College of Veterinary Medicine, St Paul, MN, USA. jlpeters@umn.edu
Mickelson, James R
    Cothran, E Gus
      Andersson, Lisa S
        Axelsson, Jeanette
          Bailey, Ernie
            Bannasch, Danika
              Binns, Matthew M
                Borges, Alexandre S
                  Brama, Pieter
                    da Câmara Machado, Artur
                      Distl, Ottmar
                        Felicetti, Michela
                          Fox-Clipsham, Laura
                            Graves, Kathryn T
                              Guérin, Gérard
                                Haase, Bianca
                                  Hasegawa, Telhisa
                                    Hemmann, Karin
                                      Hill, Emmeline W
                                        Leeb, Tosso
                                          Lindgren, Gabriella
                                            Lohi, Hannes
                                              Lopes, Maria Susana
                                                McGivney, Beatrice A
                                                  Mikko, Sofia
                                                    Orr, Nicholas
                                                      Penedo, M Cecilia T
                                                        Piercy, Richard J
                                                          Raekallio, Marja
                                                            Rieder, Stefan
                                                              Røed, Knut H
                                                                Silvestrelli, Maurizio
                                                                  Swinburne, June
                                                                    Tozaki, Teruaki
                                                                      Vaudin, Mark
                                                                        M Wade, Claire
                                                                          McCue, Molly E

                                                                            MeSH Terms

                                                                            • Animals
                                                                            • Breeding
                                                                            • Cluster Analysis
                                                                            • Genomics
                                                                            • Horses / classification
                                                                            • Horses / genetics
                                                                            • Polymorphism, Single Nucleotide
                                                                            • Principal Component Analysis

                                                                            Grant Funding

                                                                            • K08 AR055713 / NIAMS NIH HHS
                                                                            • T32 AR007612 / NIAMS NIH HHS
                                                                            • 1K08AR055713-01A2 / NIAMS NIH HHS
                                                                            • 2T32AR007612 / NIAMS NIH HHS

                                                                            Conflict of Interest Statement

                                                                            Matthew M. Binns is employed by Equine Analysis, June Swinburne by Animal DNA Diagnostics Ltd., and Emmeline W. Hill, Nickolas Orr, and Beatrice A. McGivney are associated with Equinome Ltd. There are no competing interests including patents, products in development, or marketed products to declare in relationship to this work. This does not alter the authors‚ adherence to all the PLOS ONE policies on sharing details and materials.

                                                                            References

                                                                            This article includes 84 references
                                                                            1. FAOSTAT (2010). Available: http://www.faostat.fao.org.Accessed 2012 Jun 5.
                                                                            2. Lippold S, Matzke NJ, Reissmann M, Hofreiter M. Whole mitochondrial genome sequencing of domestic horses reveals incorporation of extensive wild horse diversity during domestication.. BMC Evol Biol 2011 Nov 14;11:328.
                                                                              pmc: PMC3247663pubmed: 22082251doi: 10.1186/1471-2148-11-328google scholar: lookup
                                                                            3. Ludwig A, Pruvost M, Reissmann M, Benecke N, Brockmann GA, Castaños P, Cieslak M, Lippold S, Llorente L, Malaspinas AS, Slatkin M, Hofreiter M. Coat color variation at the beginning of horse domestication.. Science 2009 Apr 24;324(5926):485.
                                                                              pmc: PMC5102060pubmed: 19390039doi: 10.1126/science.1172750google scholar: lookup
                                                                            4. Outram AK, Stear NA, Bendrey R, Olsen S, Kasparov A, Zaibert V, Thorpe N, Evershed RP. The earliest horse harnessing and milking.. Science 2009 Mar 6;323(5919):1332-5.
                                                                              pubmed: 19265018doi: 10.1126/science.1168594google scholar: lookup
                                                                            5. Pedrosa S, Uzun M, Arranz JJ, Gutiérrez-Gil B, San Primitivo F, Bayón Y. Evidence of three maternal lineages in Near Eastern sheep supporting multiple domestication events.. Proc Biol Sci 2005 Oct 22;272(1577):2211-7.
                                                                              pmc: PMC1559946pubmed: 16191632doi: 10.1098/rspb.2005.3204google scholar: lookup
                                                                            6. Larson G, Dobney K, Albarella U, Fang M, Matisoo-Smith E, Robins J, Lowden S, Finlayson H, Brand T, Willerslev E, Rowley-Conwy P, Andersson L, Cooper A. Worldwide phylogeography of wild boar reveals multiple centers of pig domestication.. Science 2005 Mar 11;307(5715):1618-21.
                                                                              pubmed: 15761152doi: 10.1126/science.1106927google scholar: lookup
                                                                            7. Wu GS, Yao YG, Qu KX, Ding ZL, Li H, Palanichamy MG, Duan ZY, Li N, Chen YS, Zhang YP. Population phylogenomic analysis of mitochondrial DNA in wild boars and domestic pigs revealed multiple domestication events in East Asia.. Genome Biol 2007;8(11):R245.
                                                                              pmc: PMC2258183pubmed: 18021448doi: 10.1186/gb-2007-8-11-r245google scholar: lookup
                                                                            8. Cieslak M, Pruvost M, Benecke N, Hofreiter M, Morales A, Reissmann M, Ludwig A. Origin and history of mitochondrial DNA lineages in domestic horses.. PLoS One 2010 Dec 20;5(12):e15311.
                                                                              pmc: PMC3004868pubmed: 21187961doi: 10.1371/journal.pone.0015311google scholar: lookup
                                                                            9. Jansen T, Forster P, Levine MA, Oelke H, Hurles M, Renfrew C, Weber J, Olek K. Mitochondrial DNA and the origins of the domestic horse.. Proc Natl Acad Sci U S A 2002 Aug 6;99(16):10905-10.
                                                                              pmc: PMC125071pubmed: 12130666doi: 10.1073/pnas.152330099google scholar: lookup
                                                                            10. Lei CZ, Su R, Bower MA, Edwards CJ, Wang XB, Weining S, Liu L, Xie WM, Li F, Liu RY, Zhang YS, Zhang CM, Chen H. Multiple maternal origins of native modern and ancient horse populations in China.. Anim Genet 2009 Dec;40(6):933-44.
                                                                              pubmed: 19744143doi: 10.1111/j.1365-2052.2009.01950.xgoogle scholar: lookup
                                                                            11. Lira J, Linderholm A, Olaria C, Brandström Durling M, Gilbert MT, Ellegren H, Willerslev E, Lidén K, Arsuaga JL, Götherström A. Ancient DNA reveals traces of Iberian Neolithic and Bronze Age lineages in modern Iberian horses.. Mol Ecol 2010 Jan;19(1):64-78.
                                                                              pubmed: 19943892doi: 10.1111/j.1365-294x.2009.04430.xgoogle scholar: lookup
                                                                            12. Vilà C, Leonard JA, Gotherstrom A, Marklund S, Sandberg K, Liden K, Wayne RK, Ellegren H. Widespread origins of domestic horse lineages.. Science 2001 Jan 19;291(5503):474-7.
                                                                              pubmed: 11161199doi: 10.1126/science.291.5503.474google scholar: lookup
                                                                            13. Warmuth V, Eriksson A, Bower MA, Barker G, Barrett E, Hanks BK, Li S, Lomitashvili D, Ochir-Goryaeva M, Sizonov GV, Soyonov V, Manica A. Reconstructing the origin and spread of horse domestication in the Eurasian steppe.. Proc Natl Acad Sci U S A 2012 May 22;109(21):8202-6.
                                                                              pmc: PMC3361400pubmed: 22566639doi: 10.1073/pnas.1111122109google scholar: lookup
                                                                            14. Beja-Pereira A, Caramelli D, Lalueza-Fox C, Vernesi C, Ferrand N, Casoli A, Goyache F, Royo LJ, Conti S, Lari M, Martini A, Ouragh L, Magid A, Atash A, Zsolnai A, Boscato P, Triantaphylidis C, Ploumi K, Sineo L, Mallegni F, Taberlet P, Erhardt G, Sampietro L, Bertranpetit J, Barbujani G, Luikart G, Bertorelle G. The origin of European cattle: evidence from modern and ancient DNA.. Proc Natl Acad Sci U S A 2006 May 23;103(21):8113-8.
                                                                              pmc: PMC1472438pubmed: 16690747doi: 10.1073/pnas.0509210103google scholar: lookup
                                                                            15. Götherström A, Anderung C, Hellborg L, Elburg R, Smith C, Bradley DG, Ellegren H. Cattle domestication in the Near East was followed by hybridization with aurochs bulls in Europe.. Proc Biol Sci 2005 Nov 22;272(1579):2345-50.
                                                                              pmc: PMC1559968pubmed: 16243693doi: 10.1098/rspb.2005.3243google scholar: lookup
                                                                            16. Keyser-Tracqui C, Blandin-Frappin P, Francfort HP, Ricaut FX, Lepetz S, Crubézy E, Samashev Z, Ludes B. Mitochondrial DNA analysis of horses recovered from a frozen tomb (Berel site, Kazakhstan, 3rd Century BC).. Anim Genet 2005 Jun;36(3):203-9.
                                                                              pubmed: 15932398doi: 10.1111/j.1365-2052.2005.01316.xgoogle scholar: lookup
                                                                            17. Achilli A, Olivieri A, Soares P, Lancioni H, Hooshiar Kashani B, Perego UA, Nergadze SG, Carossa V, Santagostino M, Capomaccio S, Felicetti M, Al-Achkar W, Penedo MC, Verini-Supplizi A, Houshmand M, Woodward SR, Semino O, Silvestrelli M, Giulotto E, Pereira L, Bandelt HJ, Torroni A. Mitochondrial genomes from modern horses reveal the major haplogroups that underwent domestication.. Proc Natl Acad Sci U S A 2012 Feb 14;109(7):2449-54.
                                                                              pmc: PMC3289334pubmed: 22308342doi: 10.1073/pnas.1111637109google scholar: lookup
                                                                            18. McGahern A, Bower MA, Edwards CJ, Brophy PO, Sulimova G, Zakharov I, Vizuete-Forster M, Levine M, Li S, MacHugh DE, Hill EW. Evidence for biogeographic patterning of mitochondrial DNA sequences in Eastern horse populations.. Anim Genet 2006 Oct;37(5):494-7.
                                                                              pubmed: 16978180doi: 10.1111/j.1365-2052.2006.01495.xgoogle scholar: lookup
                                                                            19. Warmuth V, Manica A, Eriksson A, Barker G, Bower M. Autosomal genetic diversity in non-breed horses from eastern Eurasia provides insights into historical population movements.. Anim Genet 2013 Feb;44(1):53-61.
                                                                              pubmed: 22607477doi: 10.1111/j.1365-2052.2012.02371.xgoogle scholar: lookup
                                                                            20. Lindgren G, Backström N, Swinburne J, Hellborg L, Einarsson A, Sandberg K, Cothran G, Vilà C, Binns M, Ellegren H. Limited number of patrilines in horse domestication.. Nat Genet 2004 Apr;36(4):335-6.
                                                                              pubmed: 15034578doi: 10.1038/ng1326google scholar: lookup
                                                                            21. Ling Y, Ma Y, Guan W, Cheng Y, Wang Y, Han J, Jin D, Mang L, Mahmut H. Identification of Y chromosome genetic variations in Chinese indigenous horse breeds.. J Hered 2010 Sep-Oct;101(5):639-43.
                                                                              pubmed: 20497969doi: 10.1093/jhered/esq047google scholar: lookup
                                                                            22. Aberle KS, Hamann H, Drögemüller C, Distl O. Genetic diversity in German draught horse breeds compared with a group of primitive, riding and wild horses by means of microsatellite DNA markers.. Anim Genet 2004 Aug;35(4):270-7.
                                                                              pubmed: 15265065doi: 10.1111/j.1365-2052.2004.01166.xgoogle scholar: lookup
                                                                            23. Achmann R, Curik I, Dovc P, Kavar T, Bodo I, Habe F, Marti E, Sölkner J, Brem G. Microsatellite diversity, population subdivision and gene flow in the Lipizzan horse.. Anim Genet 2004 Aug;35(4):285-92.
                                                                              pubmed: 15265067doi: 10.1111/j.1365-2052.2004.01157.xgoogle scholar: lookup
                                                                            24. Bjornstad G, Gunby E, Roed KH. Genetic structure of Norwegian horse breeds. J Anim Breed Genet 117: 307–317.
                                                                            25. Bömcke E, Gengler N, Cothran EG. Genetic variability in the Skyros pony and its relationship with other Greek and foreign horse breeds.. Genet Mol Biol 2011 Jan;34(1):68-76.
                                                                              pmc: PMC3085377pubmed: 21637546doi: 10.1590/s1415-47572010005000113google scholar: lookup
                                                                            26. Cañon J, Checa ML, Carleos C, Vega-Pla JL, Vallejo M, Dunner S. The genetic structure of Spanish Celtic horse breeds inferred from microsatellite data.. Anim Genet 2000 Feb;31(1):39-48.
                                                                              pubmed: 10690360doi: 10.1046/j.1365-2052.2000.00591.xgoogle scholar: lookup
                                                                            27. Cothran EG, Canelon JL, Luis C, Conant E, Juras R. Genetic analysis of the Venezuelan Criollo horse.. Genet Mol Res 2011 Oct 7;10(4):2394-403.
                                                                              pubmed: 22002132doi: 10.4238/2011.october.7.1google scholar: lookup
                                                                            28. Cunningham EP, Dooley JJ, Splan RK, Bradley DG. Microsatellite diversity, pedigree relatedness and the contributions of founder lineages to thoroughbred horses.. Anim Genet 2001 Dec;32(6):360-4.
                                                                              pubmed: 11736806doi: 10.1046/j.1365-2052.2001.00785.xgoogle scholar: lookup
                                                                            29. Felicetti M, Lopes MS, Verini-Supplizi A, Machado Ada C, Silvestrelli M, Mendonça D, Distl O. Genetic diversity in the Maremmano horse and its relationship with other European horse breeds.. Anim Genet 2010 Dec;41 Suppl 2:53-5.
                                                                              pubmed: 21070276doi: 10.1111/j.1365-2052.2010.02102.xgoogle scholar: lookup
                                                                            30. Glowatzki-Mullis ML, Muntwyler J, Pfister W, Marti E, Rieder S, Poncet PA, Gaillard C. Genetic diversity among horse populations with a special focus on the Franches-Montagnes breed.. Anim Genet 2006 Feb;37(1):33-9.
                                                                              pubmed: 16441293doi: 10.1111/j.1365-2052.2005.01376.xgoogle scholar: lookup
                                                                            31. Leroy G, Callède L, Verrier E, Mériaux JC, Ricard A, Danchin-Burge C, Rognon X. Genetic diversity of a large set of horse breeds raised in France assessed by microsatellite polymorphism.. Genet Sel Evol 2009 Jan 5;41(1):5.
                                                                              pmc: PMC3225878pubmed: 19284689doi: 10.1186/1297-9686-41-5google scholar: lookup
                                                                            32. Marletta D, Tupac-Yupanqui I, Bordonaro S, García D, Guastella AM, Criscione A, Cañón J, Dunner S. Analysis of genetic diversity and the determination of relationships among western Mediterranean horse breeds using microsatellite markers.. J Anim Breed Genet 2006 Oct;123(5):315-25.
                                                                              pubmed: 16965404doi: 10.1111/j.1439-0388.2006.00603.xgoogle scholar: lookup
                                                                            33. Shasavarani H, Rahimi-Mianji G. Analysis of genetic diversity and estimation of inbreeding coefficient within Caspian horse population using microsatellite markers. Afr J Biotechnol 9: 293–299.
                                                                            34. Solis A, Jugo BM, Mériaux JC, Iriondo M, Mazón LI, Aguirre AI, Vicario A, Estomba A. Genetic diversity within and among four South European native horse breeds based on microsatellite DNA analysis: implications for conservation.. J Hered 2005 Nov-Dec;96(6):670-8.
                                                                              pubmed: 16267169doi: 10.1093/jhered/esi123google scholar: lookup
                                                                            35. Tozaki T, Takezaki N, Hasegawa T, Ishida N, Kurosawa M, Tomita M, Saitou N, Mukoyama H. Microsatellite variation in Japanese and Asian horses and their phylogenetic relationship using a European horse outgroup.. J Hered 2003 Sep-Oct;94(5):374-80.
                                                                              pubmed: 14557389doi: 10.1093/jhered/esg079google scholar: lookup
                                                                            36. Luís C, Juras R, Oom MM, Cothran EG. Genetic diversity and relationships of Portuguese and other horse breeds based on protein and microsatellite loci variation.. Anim Genet 2007 Feb;38(1):20-7.
                                                                              pubmed: 17257184doi: 10.1111/j.1365-2052.2006.01545.xgoogle scholar: lookup
                                                                            37. Weir BS, Hill WG. Effect of mating structure on variation in linkage disequilibrium.. Genetics 1980 Jun;95(2):477-88.
                                                                              pmc: PMC1214241pubmed: 7203003doi: 10.1093/genetics/95.2.477google scholar: lookup
                                                                            38. Nei M. Genetic distance between populations. Amer Nat 106: 283–292.
                                                                            39. Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.. Mol Ecol 2005 Jul;14(8):2611-20.
                                                                              pubmed: 15969739doi: 10.1111/j.1365-294x.2005.02553.xgoogle scholar: lookup
                                                                            40. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Blöcker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MC, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Røed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvänen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Lander ES, Lindblad-Toh K. Genome sequence, comparative analysis, and population genetics of the domestic horse.. Science 2009 Nov 6;326(5954):865-7.
                                                                              pmc: PMC3785132pubmed: 19892987doi: 10.1126/science.1178158google scholar: lookup
                                                                            41. McCue ME, Bannasch DL, Petersen JL, Gurr J, Bailey E, Binns MM, Distl O, Guérin G, Hasegawa T, Hill EW, Leeb T, Lindgren G, Penedo MC, Røed KH, Ryder OA, Swinburne JE, Tozaki T, Valberg SJ, Vaudin M, Lindblad-Toh K, Wade CM, Mickelson JR. A high density SNP array for the domestic horse and extant Perissodactyla: utility for association mapping, genetic diversity, and phylogeny studies.. PLoS Genet 2012 Jan;8(1):e1002451.
                                                                              pmc: PMC3257288pubmed: 22253606doi: 10.1371/journal.pgen.1002451google scholar: lookup
                                                                            42. Weatherby and Sons. An Introduction to a General Stud Book. London, UK.
                                                                            43. Corbin LJ, Blott SC, Swinburne JE, Vaudin M, Bishop SC, Woolliams JA. Linkage disequilibrium and historical effective population size in the Thoroughbred horse.. Anim Genet 2010 Dec;41 Suppl 2:8-15.
                                                                              pubmed: 21070270doi: 10.1111/j.1365-2052.2010.02092.xgoogle scholar: lookup
                                                                            44. Binns MM, Boehler DA, Bailey E, Lear TL, Cardwell JM, Lambert DH. Inbreeding in the Thoroughbred horse.. Anim Genet 2012 Jun;43(3):340-2.
                                                                              pubmed: 22486509doi: 10.1111/j.1365-2052.2011.02259.xgoogle scholar: lookup
                                                                            45. Hendricks BL. International Encyclopedia of Horse Breeds. Norman, OK: University of Oklahoma Pres. 486 p..
                                                                            46. Weatherley L. Great horses of Britain. Hindhead: Spur Publications. viii, 269 p..
                                                                            47. Gates S. A study of the home ranges of free-ranging Exmoor ponies. Mammal Rev 9: 3–18.
                                                                            48. Peilieu C. Livestock Breeds of China. FAO: Animal Production and Health paper 46: 1–217.
                                                                            49. Hund A (2008) The Stallion’s Mane: The Next Generation of Horses in Mongolia. Available: http://digitalcollections.sit.edu/cgi/viewcontent.cgi?article=1543&context=isp_collection. Accessed 2012 Dec 31.
                                                                            50. Ticklen M, editor (2006) Get to know the Finnhorse. Available: http://www.suomenhevonen.info/hippos/sh2007/pdf/SHjulkaisu_englanti_nettiin.pdf. Accessed 2012 Dec 31.
                                                                            51. Bowling AT, Ruvinsky A. The genetics of the horse. Wallingford: CABI Pub. viii, 527 p..
                                                                            52. Lynghaug F. The Official Horse Breeds Standards Guide: The Complete Guide to the Standards of All North American Equine Breed Associations. Stillwater, MN: Voyageur Press.
                                                                            53. Conant EK, Juras R, Cothran EG. A microsatellite analysis of five Colonial Spanish horse populations of the southeastern United States.. Anim Genet 2012 Feb;43(1):53-62.
                                                                              pubmed: 22221025doi: 10.1111/j.1365-2052.2011.02210.xgoogle scholar: lookup
                                                                            54. Lopes MS. Molecular tools for the characterisation of the Lusitano horse. Angra do Heroísmo: University of Azores. 219 p..
                                                                            55. Tryon RC, Penedo MC, McCue ME, Valberg SJ, Mickelson JR, Famula TR, Wagner ML, Jackson M, Hamilton MJ, Nooteboom S, Bannasch DL. Evaluation of allele frequencies of inherited disease genes in subgroups of American Quarter Horses.. J Am Vet Med Assoc 2009 Jan 1;234(1):120-5.
                                                                              pubmed: 19119976doi: 10.2460/javma.234.1.120google scholar: lookup
                                                                            56. Cothran EG, MacCluer JW, Weitkamp LR, Bailey E. Genetic differentiation associated with gait within American standardbred horses.. Anim Genet 1987;18(4):285-96.
                                                                              pubmed: 3481678doi: 10.1111/j.1365-2052.1987.tb00772.xgoogle scholar: lookup
                                                                            57. Florida Cracker Horse Association. Available: http://www.floridacrackerhorses.com/index.htm. Accessed 2012 Jun 5.
                                                                            58. Firouz L. Conservation of a domestic breed. Biol Conserv 1: 1–2.
                                                                            59. Bjørnstad G, Nilsen NØ, Røed KH. Genetic relationship between Mongolian and Norwegian horses?. Anim Genet 2003 Feb;34(1):55-8.
                                                                              pubmed: 12580788doi: 10.1046/j.1365-2052.2003.00922.xgoogle scholar: lookup
                                                                            60. Conrad DF, Jakobsson M, Coop G, Wen X, Wall JD, Rosenberg NA, Pritchard JK. A worldwide survey of haplotype variation and linkage disequilibrium in the human genome.. Nat Genet 2006 Nov;38(11):1251-60.
                                                                              pubmed: 17057719doi: 10.1038/ng1911google scholar: lookup
                                                                            61. Li JZ, Absher DM, Tang H, Southwick AM, Casto AM, Ramachandran S, Cann HM, Barsh GS, Feldman M, Cavalli-Sforza LL, Myers RM. Worldwide human relationships inferred from genome-wide patterns of variation.. Science 2008 Feb 22;319(5866):1100-4.
                                                                              pubmed: 18292342doi: 10.1126/science.1153717google scholar: lookup
                                                                            62. Mackay-Smith A. Speed and the thoroughbred : the complete history. Lanham, MD: Derrydale Press. xxvii, 193 p..
                                                                            63. Bower MA, Campana MG, Whitten M, Edwards CJ, Jones H, Barrett E, Cassidy R, Nisbet RE, Hill EW, Howe CJ, Binns M. The cosmopolitan maternal heritage of the Thoroughbred racehorse breed shows a significant contribution from British and Irish native mares.. Biol Lett 2011 Apr 23;7(2):316-20.
                                                                              pmc: PMC3061175pubmed: 20926431doi: 10.1098/rsbl.2010.0800google scholar: lookup
                                                                            64. Silvestrelli M. The Maremmano horse. Animal Genetic Resources Information (FAO/UNEP) 8: 74–83.
                                                                            65. Bower MA, Campana MG, Nisbet RER, Weller R, Whitten M. Truth in the bones: Resolving the identify of the founding elite Thoroughbred racehorses. Archaeometry 54: 916–925.
                                                                            66. Andersson LS, Larhammar M, Memic F, Wootz H, Schwochow D, Rubin CJ, Patra K, Arnason T, Wellbring L, Hjälm G, Imsland F, Petersen JL, McCue ME, Mickelson JR, Cothran G, Ahituv N, Roepstorff L, Mikko S, Vallstedt A, Lindgren G, Andersson L, Kullander K. Mutations in DMRT3 affect locomotion in horses and spinal circuit function in mice.. Nature 2012 Aug 30;488(7413):642-6.
                                                                              pmc: PMC3523687pubmed: 22932389doi: 10.1038/nature11399google scholar: lookup
                                                                            67. Petersen JL, Mickelson JR, Rendahl AK, Valberg SJ, Andersson LS, Axelsson J, Bailey E, Bannasch D, Binns MM, Borges AS, Brama P, da Câmara Machado A, Capomaccio S, Cappelli K, Cothran EG, Distl O, Fox-Clipsham L, Graves KT, Guérin G, Haase B, Hasegawa T, Hemmann K, Hill EW, Leeb T, Lindgren G, Lohi H, Lopes MS, McGivney BA, Mikko S, Orr N, Penedo MC, Piercy RJ, Raekallio M, Rieder S, Røed KH, Swinburne J, Tozaki T, Vaudin M, Wade CM, McCue ME. Genome-wide analysis reveals selection for important traits in domestic horse breeds.. PLoS Genet 2013;9(1):e1003211.
                                                                              pmc: PMC3547851pubmed: 23349635doi: 10.1371/journal.pgen.1003211google scholar: lookup
                                                                            68. FLETCHER JL. A study of the first fifty years of Tennessee walking horse breeding.. J Hered 1946 Dec;37(12):369-73.
                                                                              pubmed: 20281722doi: 10.1093/oxfordjournals.jhered.a105563google scholar: lookup
                                                                            69. Tennessee Walking Horse Breeders and Exhibitors Association. Available: http://www.twhbea.com/breed/history.php. Accessed 2012 Jun 5.
                                                                            70. MacCluer JW, Boyce AJ, Dyke B, Weitkamp LR, Pfennig DW. Inbreeding and pedigree structure in Standardbred horses. J Hered 74: 394–399.
                                                                            71. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC. PLINK: a tool set for whole-genome association and population-based linkage analyses.. Am J Hum Genet 2007 Sep;81(3):559-75.
                                                                              pmc: PMC1950838pubmed: 17701901doi: 10.1086/519795google scholar: lookup
                                                                            72. Glaubitz JC. CONVERT: A user-friendly program to reformat diploid genotypic data for commonly used population genetic software packages. Mol Ecol Notes 4: 309–310.
                                                                            73. Lischer HE, Excoffier L. PGDSpider: an automated data conversion tool for connecting population genetics and genomics programs.. Bioinformatics 2012 Jan 15;28(2):298-9.
                                                                              pubmed: 22110245doi: 10.1093/bioinformatics/btr642google scholar: lookup
                                                                            74. Excoffier L, Laval G, Schneider S. Arlequin (version 3.0): an integrated software package for population genetics data analysis.. Evol Bioinform Online 2007 Feb 23;1:47-50.
                                                                              pmc: PMC2658868pubmed: 19325852
                                                                            75. Belkhir KP, Borsa P, Chikhi L, Raufaste N, Bonhomme F. GENTETIX, logiciel sous Windows TM pour la genetique des population. Universite de Montpellier II, Montpellier, France.
                                                                            76. Reynolds J, Weir BS, Cockerham CC. Estimation of the coancestry coefficient: basis for a short-term genetic distance.. Genetics 1983 Nov;105(3):767-79.
                                                                              pmc: PMC1202185pubmed: 17246175doi: 10.1093/genetics/105.3.767google scholar: lookup
                                                                            77. Felsenstein J. PHYLIP-Phylogeny Inference Package (version 3.2). Cladistics 5: 164–166.
                                                                            78. Goloboff PA, Farris JS, Nixon K. TNT: tree analysis using new technology. Syst Biol 54: 176–178.
                                                                            79. Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.. Genetics 2003 Aug;164(4):1567-87.
                                                                              pmc: PMC1462648pubmed: 12930761doi: 10.1093/genetics/164.4.1567google scholar: lookup
                                                                            80. Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data.. Genetics 2000 Jun;155(2):945-59.
                                                                              pmc: PMC1461096pubmed: 10835412doi: 10.1093/genetics/155.2.945google scholar: lookup
                                                                            81. Pritchard JK, Wen X, Falush D. Documentation for Structure software: version 2.3.38. .
                                                                            82. Jakobsson M, Rosenberg NA. CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure.. Bioinformatics 2007 Jul 15;23(14):1801-6.
                                                                              pubmed: 17485429doi: 10.1093/bioinformatics/btm233google scholar: lookup
                                                                            83. Rosenberg NA. DISTRUCT: a program for the graphical display of population structure. Mol Ecol Notes 4: 137–138.
                                                                            84. Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps.. Bioinformatics 2005 Jan 15;21(2):263-5.
                                                                              pubmed: 15297300doi: 10.1093/bioinformatics/bth457google scholar: lookup

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