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Home / Equine Research Bank / Animals (Basel) / Genetic Diversity and Population Structure of Dülmen Wild, ...
Animals : an open access journal from MDPI2024; 14(15); doi: 10.3390/ani14152221

Genetic Diversity and Population Structure of Dülmen Wild, Liebenthal and Polish Konik Horses in Comparison with Przewalski, Sorraia, German Draught and Riding Horses.

Abstract: The objective of the present study was to analyze the genetic diversity, individual-based assessment of population structure, and admixture in the Dülmen wild horse population in comparison to warmblood, coldblood, and primitive horse populations. The Dülmen wild horse is kept as a unique horse population in the Merfelder Bruch near Dülmen in Westphalia, Germany, and since 1856 has been managed by the Dukes of Croÿ. The Dülmen wild horse population is exposed to the natural conditions of the Merfelder Bruch all year round without human interventions for feeding and veterinary care. In the present study, genetic diversity was estimated for 101 Dülmen wild horses using multilocus genotypic information from a set of 29 autosomal microsatellites and compared with 587 horses from 17 different horse populations. Dülmen wild horses maintained a high degree of genetic diversity, with an average observed heterozygosity of 0.68, a mean number of 6.17 alleles, and heterozygote deficit of -0.035. Pairwise genetic distances (FST, Nei's standard, and Cavalli-Sforza distances) were closest to German coldblood breeds, Polish Konik, and Icelandic horses and most divergent from Sorraia and Przewalski's horses. Neighbor joining dendrogram and PCA plots showed a clear distinction of Dülmen wild horses from other populations, particularly from Przewalski horses. Posterior Bayesian analysis confirmed clear differentiation from other horse populations without an admixture pattern and a high membership index (0.92). It was possible to distinguish Dülmen wild horses from Dülmen and Polish Konik horses. In conclusion, Dülmen wild horses show a notable separation from other German horse breeds and primitive horse populations and may serve as a resource to study evolution of equine domestication.
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Publication Date: 2024-07-31 PubMed ID: 39123746PubMed Central: PMC11311111DOI: 10.3390/ani14152221Google Scholar: Lookup
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  • 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.

This study focused on the analysis of the genetic diversity and population structure of Dülmen wild horses in comparison to other horse populations such as warmblood, coldblood, and primitive breeds. The research found that Dülmen wild horses exhibit significant genetic distinction from other horse breeds, despite being exposed to natural conditions without human interventions.

Objective and Methodology

  • The study aimed to analyze the genetic diversity and population structure of Dülmen wild horses and compare these traits to other horse populations.
  • For this study, multilocus genotypic information from a set of 29 autosomal microsatellites was used to estimate the genetic diversity of the Dülmen wild horses.
  • The researchers analyzed data from 101 Dülmen wild horses and compared their genetic diversity to 587 horses from 17 other horse breeds.

Findings

  • Dülmen wild horses exhibited a high degree of genetic diversity, maintaining an average observed heterozygosity, or genetic diversity, of 0.68, a mean number of 6.17 alleles, and a slight heterozygote deficit of -0.035.
  • The genetic distances between the Dülmen wild horses and other breeds were closest to German coldblood breeds, Polish Konik, and Icelandic horses, but markedly divergent from Sorraia and Przewalski’s horses.
  • A neighbor-joining dendrogram and PCA plots demonstrated a clear distinction of Dülmen wild horses from other populations, particularly Przewalski horses, indicating distinct genetic lineage.
  • Posterior Bayesian analysis further affirmed the clear differentiation from other horse populations without an admixture pattern and recorded a high membership index of 0.92, signifying a high level of genetic distinctiveness.

Conclusion

  • The Dülmen wild horses showed a notable separation from other German horse breeds and primitive horse populations, confirming their unique genetic structure.
  • The study concluded that these horses may serve as a valuable resource for studying the evolution of equine domestication due to their distinctive genetic pattern.

Cite This Article

APA
Duderstadt S, Distl O. (2024). Genetic Diversity and Population Structure of Dülmen Wild, Liebenthal and Polish Konik Horses in Comparison with Przewalski, Sorraia, German Draught and Riding Horses. Animals (Basel), 14(15). https://doi.org/10.3390/ani14152221

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 14
Issue: 15

Researcher Affiliations

Duderstadt, Silke
  • Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover (Foundation), 30559 Hannover, Germany.
Distl, Ottmar
  • Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover (Foundation), 30559 Hannover, Germany.

Grant Funding

  • TiHo-Di-Ho/2012-15 / University of Veterinary Medicine Hannover (Foundation)

Conflict of Interest Statement

The authors declare no conflicts of interest.

References

This article includes 45 references
  1. Opora J. Die Wildbahngestüte Westfalens: Geschichte, Entwicklung und Zukunft.. Ph.D. Thesis. Tierärztliche Hochschule Hannover; Hannover, Germany: 2006.
  2. Liebenthaler-Pferdeherde. [(accessed on 15 March 2023)]. Available online: https://www.liebenthaler-pferdeherde.de/
  3. Herrmann C. Die Huflängenregulation bei im Semireservat gehaltenen Liebenthaler Pferden durch saisonale Einflüsse auf Hornbildung und Hornverlust.. Ph.D. Thesis. Universität Leipzig, Veterinärmedizinische Fakultät; Leipzig, Germany: 2015.
  4. Stachurska A, Nogaj A, Brodacki A, Nogaj J, Batkowsk J. Genetic distances between horse breeds in Poland estimated according to blood protein polymorphism. Cz. J. Anim. Sci. 2014;59:257–267.
    doi: 10.17221/7496-CJASgoogle scholar: lookup
  5. Doboszewski P, Doktor D, Jaworski Z, Kalski R, Kulakowska G, Lojek J, Plachocki D, Rys A, Tylkowska A. Konik polski horses as a mean of biodiversity maintenance in post-agricultural and forest areas: An overview of Polish experiences. Anim. Sci. Pap. Rep. 2017;35:333–347.
  6. Mackowski M, Mucha S, Cholewinski G, Cieslak J. Genetic diversity in Hucul and Polish primitive horse breeds. Arch. Anim. Breed. 2015;58:23–31.
    doi: 10.5194/aab-58-23-2015google scholar: lookup
  7. Gralak B, Niemczewski C, Jaworski Z. Genetic polymorphism of 12 micorsatellite markers in Polish Primitive Horse. Anim. Sci. Pap. Rep. 2001;19:277–283.
  8. Jodkowska E, Kuźniak AM, Pikuła R, Smugała M. Analysis of Polish Primitive Ponies Migration under Registration of the Global Positioning System. GSTF J. Vet. Sci. 2015;1:47–68.
    doi: 10.7603/s40871-015-0003-1google scholar: lookup
  9. Gurgul A, Jasielczuk I, Semik-Gurgul E, Pawlina-Tyszko K, Stefaniuk-Szmukier M, Szmatoła T, Polak G, Tomczyk-Wrona I, Bugno-Poniewierska M. A genome-wide scan for diversifying selection signatures in selected horse breeds. PLoS ONE 2019;14:e0210751.
    doi: 10.1371/journal.pone.0210751pmc: PMC6353161pubmed: 30699152google scholar: lookup
  10. Pluta M, Osinski Z, Cieśla A, Kolstrung R. Genetic and Phenotypic Characteristics of Polish Konik Horses Maintained in the Reserve and Stable System in Central-Eastern Poland. Acta Sci. Pol. Zootech. 2016;15:59–76.
    doi: 10.21005/asp.2016.15.2.06google scholar: lookup
  11. Pasicka E. Polish konik horse-characteristics and historical background of native descendants of tarpan. Acta Sci. Pol. Med. Vet. 2013;12:25–38.
  12. Cieslak J, Wodas L, Borowska A, Cothran EG, Khanshour AM, Mackowski M. Characterization of the Polish Primitive Horse (Konik) maternal lines using mitochondrial D-loop sequence variation. PeerJ 2017;5:e3714.
    doi: 10.7717/peerj.3714pmc: PMC5572418pubmed: 28852595google scholar: lookup
  13. Kaminski S, Hering DM, Jaworski Z, Zabolewicz T, Rusc A, Kaminski S, Hering DM, Jaworski Z, Zabolewicz T, Rusc A. Assessment of genomic inbreeding in Polish Konik horses. Pol. J. Vet. Sci. 2017;20:603–605.
    doi: 10.1515/pjvs-2017-0074pubmed: 29166287google scholar: lookup
  14. Fornal A, Kowalska K, Zabek T, Piestrzynska-Kajtoch A, Musiał AD, Ropka-Molik K. Genetic Diversity and Population Structure of Polish Konik Horse Based on Individuals from All the Male Founder Lines and Microsatellite Markers. Animals 2020;10:1569.
    doi: 10.3390/ani10091569pmc: PMC7552212pubmed: 32899310google scholar: lookup
  15. Fornal A, Kowalska K, Zabek T, Piestrzynska-Kajtoch A, Musiał AD, Ropka-Molik K. Genetic Variability and Population Structure of Polish Konik Horse Maternal Lines Based on Microsatellite Markers. Genes 2021;12:546.
    doi: 10.3390/genes12040546pmc: PMC8069725pubmed: 33918718google scholar: lookup
  16. Musiał AD, Radović L, Stefaniuk-Szmukier M, Bieniek A, Wallner B, Ropka-Molik K. Mitochondrial DNA and Y chromosome reveal the genetic structure of the native Polish Konik horse population. PeerJ 2024;12:e17549.
    doi: 10.7717/peerj.17549pmc: PMC11193968pubmed: 38912049google scholar: lookup
  17. Slivinska K, Gawor J, Jaworski Z. Gastro-intestinal parasites in yearlings of wild Polish primitive horses from the Popielno Forest Reserve, Poland. Helminthologia 2009;46:9–13.
    doi: 10.2478/s11687-009-0002-2google scholar: lookup
  18. Aberle KS, Hamann H, Drögemuller 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;35:270–277.
    doi: 10.1111/j.1365-2052.2004.01166.xpubmed: 15265065google scholar: lookup
  19. Castaneda C, Juras R, Khanshour A, Randlaht I, Wallner B, Rigler D, Lindgren G, Raudsepp T, Cothran EG. Population Genetic Analysis of the Estonian Native Horse Suggests Diverse and Distinct Genetics, Ancient Origin and Contribution from Unique Patrilines. Genes 2019;10:629.
    doi: 10.3390/genes10080629pmc: PMC6722507pubmed: 31434327google scholar: lookup
  20. Druml T, Curik I, Baumung R, Aberle K, Distl O, Sölkner J. Individual-based assessment of population structure and admixture in Austrian, Croatian and German draught horses. Heredity 2007;98:114–122.
    doi: 10.1038/sj.hdy.6800910pubmed: 17035951google scholar: lookup
  21. Van Oosterhout C, Hutchinson WF, Wills DP, Shipley P. MICRO-CHECKER: Software for identifying and correcting genotyping errors in microsatellite data. Mol. Ecol. Not. 2004;4:535–538.
    doi: 10.1111/j.1471-8286.2004.00684.xgoogle scholar: lookup
  22. Weir BS, Cockerham CC. Estimating F-statistics for the analysis of population structure. Evolution 1984;38:1358–1370.
    doi: 10.2307/2408641pubmed: 28563791google scholar: lookup
  23. Peakall R, Smouse PE. GenAlEx 6.5: Genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics 2012;28:2537–2539.
    doi: 10.1093/bioinformatics/bts460pmc: PMC3463245pubmed: 22820204google scholar: lookup
  24. Cavalli-Sforza LL, Edwards AW. Phylogenetic analysis. Models and estimation procedures. Am. J. Hum. Gen. 1967;19:233–257.
    pmc: PMC1706274pubmed: 6026583
  25. Nei M. Genetic distance between populations. Am. Nat. 1972;106:283–292.
    doi: 10.1086/282771google scholar: lookup
  26. Dieringer D, Schlötterer C. Microsatellite analyser (MSA): A platform independent analysis tool for large microsatellite data sets. Mol. Ecol. Not. 2003;3:167–169.
    doi: 10.1046/j.1471-8286.2003.00351.xgoogle scholar: lookup
  27. Felsenstein J. PHYLIP—Phylogeny Inference Package (Version 3.2). Cladistics 1989;5:164–166.
  28. Page RD. TreeView. An application to display phylogenetic trees on personal computer. Comput. Appl. Biol. Sci. 1996;12:357–358.
    pubmed: 8902363
  29. Alvarez I, Gutiérrez JP, Royo LJ, Fernández I, Gómez E, Arranz JJ, Goyache F. Testing the usefulness of the molecular coancestry information to assess genetic relationships in livestock using a set of Spanish sheep breeds. J. Anim. Sci. 2005;83:737–744.
    doi: 10.2527/2005.834737xpubmed: 15753326google scholar: lookup
  30. Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics 2000;155:945–959.
    doi: 10.1093/genetics/155.2.945pmc: PMC1461096pubmed: 10835412google scholar: lookup
  31. Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: Linked loci and correlated allele frequencies. Genetics 2003;164:1567–1587.
    doi: 10.1093/genetics/164.4.1567pmc: PMC1462648pubmed: 12930761google scholar: lookup
  32. Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: Dominant markers and null alleles. Mol. Ecol. Notes 2007;7:574–578.
    doi: 10.1111/j.1471-8286.2007.01758.xpmc: PMC1974779pubmed: 18784791google scholar: lookup
  33. Hubisz MJ, Falush D, Stephens M, Pritchard JK. Inferring weak population structure with the assistance of sample group information. Mol. Ecol. Resour. 2009;9:1322–1332.
    doi: 10.1111/j.1755-0998.2009.02591.xpmc: PMC3518025pubmed: 21564903google scholar: lookup
  34. Li Y-L, Liu J-X. StructureSelector: A web-based software to select and visualize the optimal number of clusters using multiple methods. Mol. Ecol. Resour. 2018;18:176–177.
    doi: 10.1111/1755-0998.12719pubmed: 28921901google scholar: lookup
  35. Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study. Mol. Ecol. 2005;14:2611–2620.
    doi: 10.1111/j.1365-294X.2005.02553.xpubmed: 15969739google scholar: lookup
  36. Puechmaille SJ. The program structure does not reliably recover the correct population structure when sampling is uneven: Subsampling and new estimators alleviate the problem. Mol. Ecol. Resour. 2016;16:608–627.
    doi: 10.1111/1755-0998.12512pubmed: 26856252google scholar: lookup
  37. Kopelman NM, Mayzel J, Jakobsson M, Rosenberg NA, Mayrose I. CLUMPAK: A program for identifying clustering modes and packaging population structure inferences across K. Mol. Ecol. Resour. 2015;15:1179–1191.
    doi: 10.1111/1755-0998.12387pmc: PMC4534335pubmed: 25684545google scholar: lookup
  38. Canon J, Checa M, Carleos C, Vega-Pla J, Vallejo M, Dunner S. The genetic structure of Spanish Celtic horse breeds inferred from microsatellite data. Anim. Genet. 2000;31:39–48.
    doi: 10.1046/j.1365-2052.2000.00591.xpubmed: 10690360google scholar: lookup
  39. Plante Y, Vega-Pla JL, Lucas Z, Colling D, De March B, Buchanan F. Genetic diversity in a feral horse population from Sable Island, Canada. J. Hered. 2007;98:594–602.
    doi: 10.1093/jhered/esm064pubmed: 17855732google scholar: lookup
  40. Solis A, Jugo BM, Meriaux JC, Iriondo M, Mazon 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;96:670–678.
    doi: 10.1093/jhered/esi123pubmed: 16267169google scholar: lookup
  41. 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;94:374–380.
    doi: 10.1093/jhered/esg079pubmed: 14557389google scholar: lookup
  42. Vega-Pla JL, Calderón J, Rodríguez-Gallardo P, Martinez A, Rico C. Saving feral horse populations: Does it really matter? A case study of wild horses from Doñana National Park in southern Spain. Anim. Genet. 2006;37:571–578.
    doi: 10.1111/j.1365-2052.2006.01533.xpubmed: 17121602google scholar: lookup
  43. Beckmann S. Röntgenologische Untersuchung zur Osteochondrosis dissecans an Fessel-, Sprung- und Kniegelenken bei 85 Dülmener Wildpferden.. Ph.D. Thesis. Freie Universität Berlin, Veterinärmedizinische Fakultät; Berlin, Germany: 2011.
  44. Metzger J, Karwath M, Tonda R, Beltran S, Águeda L, Gut M, Gut IG, Distl O. Runs of homozygosity reveal signatures of positive selection for reproduction traits in breed and non-breed horses. BMC Genom. 2015;16:764.
    doi: 10.1186/s12864-015-1977-3pmc: PMC4600213pubmed: 26452642google scholar: lookup
  45. Howard JT, Pryce JE, Baes C, Maltecca C. Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability. J. Dairy Sci. 2017;100:6009–6024.
    doi: 10.3168/jds.2017-12787pubmed: 28601448google scholar: lookup
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