Analyze Diet
Animal genetics2004; 35(4); 285-292; doi: 10.1111/j.1365-2052.2004.01157.x

Microsatellite diversity, population subdivision and gene flow in the Lipizzan horse.

Abstract: Blood samples of 561 Lipizzan horses from subpopulations (studs) of seven European countries representing a large fraction of the breed's population were used to examine the genetic diversity, population subdivision and gene flow in the breed. DNA analysis based on 18 microsatellite loci revealed that genetic diversity (observed heterozygosity = 0.663, gene diversity = 0.675 and the mean number of alleles = 7.056) in the Lipizzan horse is similar to other horse breeds as well as to other domestic animal species. The genetic differentiation between Lipizzan horses from different studs, although moderate, was apparent (pairwise F(ST) coefficients ranged from 0.021 to 0.080). Complementary findings explaining the genetic relationship among studs were revealed by genetic distance and principal component analysis. One genetic cluster consisted of the subpopulations of Austria, Italy and Slovenia, which represent the classical pool of Lipizzan horse breeding. A second cluster was formed by the Croatian, Hungarian and Slovakian subpopulations. The Romanian subpopulation formed a separate unit. The largest genetic differentiation was found between the Romanian and Italian subpopulation. Genetic results are consistent with the known breeding history of the Lipizzan horse. Correct stud assignment was obtained for 80.9% and 92.1% of Lipizzan horses depending on the inclusion or exclusion of migrant horses, respectively. The results of the present study will be useful for the development of breeding strategies, which consider classical horse breeding as well as recent achievements of population and conservation genetics.
Publication Date: 2004-07-22 PubMed ID: 15265067DOI: 10.1111/j.1365-2052.2004.01157.xGoogle 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.
  • Comparative Study
  • Journal Article
  • Research Support
  • Non-U.S. Gov't

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 examines genetic diversity, population subdivision and gene flow among Lipizzan horses from different studs across seven European countries, using DNA analysis based on 18 microsatellite loci. The study found that genetic diversity in Lipizzan horses is comparable to other horse breeds and domestic animal species. It also discovered some genetic differentiation between Lipizzan horses from different studs and geographical locations.

Genetic Diversity in Lipizzan Horses

The researchers made several observations on the genetic diversity of Lipizzan horses:

  • The observed genetic diversity is similar to other horse breeds and domestic animal species. This was measured with observed heterozygosity, gene diversity, and the mean number of alleles.
  • DNA analysis was conducted based on 18 microsatellite loci. Microsatellites are short, repetitive DNA sequences, which are known to offer a high level of genetic variability, making them ideal for genetic studies like this one.

Population Subdivision and Genetic Differentiation

The researchers also conducted a comprehensive investigation into population subdivision and genetic differentiation:

  • They found a moderate level of genetic differentiation between Lipizzan horses from different studs. The measure for genetic differentiation used was the pairwise F(ST) coefficients, which ranged from 0.021 to 0.080.
  • The genetic relationship among studs was further explored using genetic distance and principal component analysis. These findings helped in identifying two primary genetic clusters among the Lipizzan horses.
  • The first cluster comprised of Austria, Italy, and Slovenia, representing the classical pool of Lipizzan horse breeding. The second cluster had Croatian, Hungarian and Slovakian subpopulations.
  • The Romanian subpopulation formed a separate unit, showing the largest genetic differentiation from the Italian subpopulation.

Implications of the Study

According to the results gained from this research, some implications for the breeding of Lipizzan horses are described:

  • The findings correlate with the known breeding history of Lipizzan horses, illuminating an expected level of genetic diversity and cluster separation.
  • By examining gene flow, the study managed to correctly assign 80.9% and 92.1% of Lipizzan horses to their respective studs, depending on the inclusion or exclusion of migrant horses. This demonstrates a considerable level of accuracy in the methods employed.
  • This research will be valuable when developing breeding strategies, both in maintaining traditional horse breeding practices and incorporating recent advances in population and conservation genetics.

Cite This Article

APA
Achmann R, Curik I, Dovc P, Kavar T, Bodo I, Habe F, Marti E, Sölkner J, Brem G. (2004). Microsatellite diversity, population subdivision and gene flow in the Lipizzan horse. Anim Genet, 35(4), 285-292. https://doi.org/10.1111/j.1365-2052.2004.01157.x

Publication

ISSN: 0268-9146
NlmUniqueID: 8605704
Country: England
Language: English
Volume: 35
Issue: 4
Pages: 285-292

Researcher Affiliations

Achmann, R
  • Ludwig Boltzmann-Institut für immuno-, zyto- and molekulargenetische Forschung, Veterinärplatz 1, A-1210 Wien, Austria. achmann@genteQ.de
Curik, I
    Dovc, P
      Kavar, T
        Bodo, I
          Habe, F
            Marti, E
              Sölkner, J
                Brem, G

                  MeSH Terms

                  • Animals
                  • Cluster Analysis
                  • Europe
                  • Evolution, Molecular
                  • Gene Frequency
                  • Genetic Variation
                  • Genetics, Population
                  • Horses / genetics
                  • Microsatellite Repeats / genetics
                  • Principal Component Analysis
                  • Species Specificity

                  Citations

                  This article has been cited 13 times.
                  1. Hall SJG. Genetic Differentiation among Livestock Breeds-Values for F(st). Animals (Basel) 2022 Apr 26;12(9).
                    doi: 10.3390/ani12091115pubmed: 35565543google scholar: lookup
                  2. Dell A, Curry M, Yarnell K, Starbuck G, Wilson PB. Genetic analysis of the endangered Cleveland Bay horse: A century of breeding characterised by pedigree and microsatellite data. PLoS One 2020;15(10):e0240410.
                    doi: 10.1371/journal.pone.0240410pubmed: 33119607google scholar: lookup
                  3. Grilz-Seger G, Druml T, Neuditschko M, Dobretsberger M, Horna M, Brem G. High-resolution population structure and runs of homozygosity reveal the genetic architecture of complex traits in the Lipizzan horse. BMC Genomics 2019 Mar 5;20(1):174.
                    doi: 10.1186/s12864-019-5564-xpubmed: 30836959google scholar: lookup
                  4. Senokuchi A, Ishikawa S, Tozaki T, Takasu M, Kakoi H, Misumi K, Hobo S. Genetic analyses for conservation of the traditional Tokara horse using 31 microsatellite markers. J Equine Sci 2018 Dec;29(4):97-104.
                    doi: 10.1294/jes.29.97pubmed: 30607133google scholar: lookup
                  5. Senju N, Tozaki T, Kakoi H, Shinjo A, Matsuyama R, Almunia J, Takasu M. Genetic diversity of the Yonaguni horse based on polymorphisms in microsatellites and mitochondrial DNA. J Vet Med Sci 2017 Feb 28;79(2):425-431.
                    doi: 10.1292/jvms.16-0040pubmed: 28049866google scholar: lookup
                  6. Senju N, Tozaki T, Kakoi H, Almunia J, Maeda M, Matsuyama R, Takasu M. Genetic characterization of the Miyako horse based on polymorphisms of microsatellites and mitochondrial DNA. J Vet Med Sci 2017 Jan 24;79(1):218-223.
                    doi: 10.1292/jvms.16-0111pubmed: 27795462google scholar: lookup
                  7. Janova E, Futas J, Klumplerova M, Putnova L, Vrtkova I, Vyskocil M, Frolkova P, Horin P. Genetic diversity and conservation in a small endangered horse population. J Appl Genet 2013 Aug;54(3):285-92.
                    doi: 10.1007/s13353-013-0151-3pubmed: 23649723google scholar: lookup
                  8. Pirault P, Danvy S, Verrier E, Leroy G. Genetic structure and gene flows within horses: a genealogical study at the french population scale. PLoS One 2013;8(4):e61544.
                    doi: 10.1371/journal.pone.0061544pubmed: 23630596google scholar: lookup
                  9. 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. Genetic diversity in the modern horse illustrated from genome-wide SNP data. PLoS One 2013;8(1):e54997.
                    doi: 10.1371/journal.pone.0054997pubmed: 23383025google scholar: lookup
                  10. Dumasy JF, Daniaux C, Donnay I, Baret PV. Genetic diversity and networks of exchange: a combined approach to assess intra-breed diversity. Genet Sel Evol 2012 May 23;44(1):17.
                    doi: 10.1186/1297-9686-44-17pubmed: 22620856google scholar: lookup
                  11. Behl R, Behl J, Gupta N, Gupta SC, Ahlawat SP, Ragnekar M, Ahmed Z. Genetic characterization of Zanskari breed of horse. J Genet 2006 Dec;85(3):199-203.
                    doi: 10.1007/BF02935331pubmed: 17406094google scholar: lookup
                  12. Hou L, Sulayman A, Zeng Y, Zhou L, Aimaier A, Kader A, Shi L. Analysis of Genetic Diversity and Race Genetic Structure of Major Horse Breeds in Xinjiang, China. Animals (Basel) 2025 Sep 14;15(18).
                    doi: 10.3390/ani15182690pubmed: 41007935google scholar: lookup
                  13. Nguyen AT, Kövér G, Tóth P, Curik I, Bokor Á, Nagy I. Population Subdivision and Migration Assessment of Mangalica Pig Breeds Based on Pedigree Analysis. Animals (Basel) 2024 Feb 19;14(4).
                    doi: 10.3390/ani14040653pubmed: 38396621google scholar: lookup