Population Structure and Genetic Diversity Among Shagya Arabian Horse Genealogical Lineages in Bulgaria Based on Microsatellite Genotyping.
Abstract: The Shagya Arabian horse breed was created to address the need of Imperial Hussars (Hungarian light horsemen) for a horse with the intelligence, essential characteristics, and endurance of the Arabian breed, but also of a bigger size and having a better weight-carrying capacity and jumping ability. The present study aimed to explore the genetic variability and population structure of the uninvestigated Shagya Arabian horse population in Bulgaria based on genotyping at 15 equine microsatellite markers. A total of 140 horses belonging to six genealogical lines (Dahoman, Gazal, Ibrahim, Kuhailan Zaid, O'Bajan, and Shagya) were included in the survey. Genetic distances, analysis of molecular variance, principal coordinates analysis, and a Bayesian method were applied. The mean number of alleles in the individual subpopulations ranged from 3.67 in the Shagya to 5.13 in the Ibrahim sire line. The F index was negative or close to 0 for the entire population and was -0.202. The overall was 0.014, indicating a low level of genetic differentiation between the subpopulations. The results of the principal components and the STRUCTURE analysis showed some level of admixture among the subpopulations in almost all genealogical lines. However, structural analysis also indicated a genetic similarity between the Ibrahim, Kuhailan Zaid, and Shagya lineages, while it showed a completely different genetic profile regarding the other three sire lines. Due to the higher admixture and the discovery of more distinct genetic clusters, it can be assumed that there is a higher gene flow from one lineage to another in the Shagya Arabian horse population in Bulgaria and that there is sufficient genetic variability and diversity to suggest adequate measures for preserving this rare breed. In addition, this study may highlight the risk of the loss of gene diversity in this population and help to implement suitable breeding programs to preserve genetic diversity.
Publication Date: 2025-08-19 PubMed ID: 40872726PubMed Central: PMC12390109DOI: 10.3390/vetsci12080776Google Scholar: Lookup
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Summary
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Overview
- This study examined the genetic diversity and population structure of the Shagya Arabian horse population in Bulgaria by analyzing 15 microsatellite markers across six genealogical lineages.
- The research found a generally low genetic differentiation between lineages and evidence of gene flow among them, indicating sufficient genetic variability but a need for conservation efforts to maintain this rare breed.
Introduction and Objectives
- The Shagya Arabian horse breed was originally developed to meet the demands of Imperial Hussars for horses combining Arabian traits with larger size, enhanced endurance, and better jumping and weight-carrying abilities.
- The breed’s genealogy consists of several sire lines or ancestral lineages, which have not been genetically analyzed in Bulgaria before this study.
- The goal was to investigate the genetic variability among six different genealogical lineages of Shagya Arabian horses in Bulgaria using microsatellite genotyping to better understand their population structure and genetic diversity.
Materials and Methods
- Sample: 140 horses representing six genealogical lines—Dahoman, Gazal, Ibrahim, Kuhailan Zaid, O’Bajan, and Shagya.
- Marker Type: 15 equine microsatellite markers, commonly used for genetic diversity and population structure studies due to their high variability.
- Analyses Conducted:
- Calculation of allele numbers per lineage to estimate genetic diversity.
- F-statistics (F index) to determine inbreeding and population differentiation.
- Pairwise genetic distances and analysis of molecular variance (AMOVA) to assess differentiation among lineages.
- Principal Coordinates Analysis (PCA) to visualize genetic relationships between lineages.
- Bayesian clustering method using STRUCTURE software to detect population structure and admixture.
Key Findings
- Allelic Diversity: The mean allele number per lineage ranged from 3.67 (Shagya) to 5.13 (Ibrahim), indicating some variation in genetic diversity across lineages.
- Inbreeding and Differentiation:
- The F index was close to zero or negative (-0.202 overall), suggesting low inbreeding or possibly some outbreeding.
- The overall F_ST was 0.014, reflecting very low genetic differentiation among lineages, meaning they share much genetic material.
- Genetic Structure and Admixture:
- PCA and STRUCTURE analysis revealed admixture among almost all genealogical lines, indicating gene flow between lineages.
- Specifically, Ibrahim, Kuhailan Zaid, and Shagya lineages showed genetic similarity, clustering closely together.
- The other three lineages (Dahoman, Gazal, and O’Bajan) displayed distinct genetic profiles, separate from the above group.
Interpretation and Implications
- The low genetic differentiation implies a shared genetic pool among the Shagya Arabian horses in Bulgaria, with ongoing gene flow between lineages.
- The detectable admixture suggests the lineages are not fully isolated but interbreeding occurs, which helps maintain genetic diversity.
- Given the Shagya Arabian horse is a rare breed, the observed genetic variability is encouraging for breed preservation.
- However, because of the risk of genetic diversity loss over time, the study recommends:
- Implementing structured breeding programs that monitor and maintain genetic variation.
- Carefully managing gene flow to avoid inbreeding depression and loss of unique lineage traits.
Conclusion
- This study provides the first insight into the genetic structure of Shagya Arabian horses in Bulgaria, highlighting a relatively rich gene pool across different genealogical lineages despite some differentiation.
- The findings support future conservation strategies aimed at preserving the breed by maintaining its genetic health and diversity through informed breeding management.
Cite This Article
APA
(2025).
Population Structure and Genetic Diversity Among Shagya Arabian Horse Genealogical Lineages in Bulgaria Based on Microsatellite Genotyping.
Vet Sci, 12(8), 776.
https://doi.org/10.3390/vetsci12080776 Publication
Researcher Affiliations
Conflict of Interest Statement
The authors declare no conflicts of interest.
References
This article includes 61 references
- Druml T, Horna M, Grilz-Seger G, Dobretsberger M, Brem G. Association of body shape with amount of Arabian genetic contribution in the Lipizzan horse.. Arch. Anim. Breed. 2018;61:79–85.
- Hendricks B.L. International Encyclopedia of Horse Breeds. University of Oklahoma Press; Norman, OK, USA: 1995. p. 486.
- ISG-Shagya-Araber. 2024. [(accessed on 17 June 2019)]. Available online: http://isg-shagya-araber.de/index.php?entstehungsgeschichte-der-isg-2.
- Petrov A. Contribution to Horse-Breeding Study in Bulgaria—Kabiuk. Government Press; Sofia, Bulgaria: 1927.
- Sabeva I. Origin and Development of Arabian and Shagya Breeds in Bulgaria. June Express; Shumen, Bulgaria: 2009. p. 246.
- Abdul-Muneer P.M. Application of microsatellite markers in conservation genetics and fisheries management: Recent advances in population structure analysis and conservation strategies.. Genet. Res. Int. 2014;691759:1–11.
- Putman A.I., Carbone I. Challenges in analysis and interpretation of microsatellite data for population genetic studies.. Ecol. Evol. 2014;4:4399–4428.
- Vieira M.L.C., Santini L., Diniz A.L., Munhoz C.D.F.. Microsatellite markers: What they mean and why they are so useful.. Genet. Mol. Biol. 2016;39:312–328.
- Rasoarahona R., Wattanadilokchatkun P., Panthum T., Thong T., Singchat W., Ahmad S.F., Chaiyes A., Han K., Kraichak E., Muangmai N.. Optimizing microsatellite marker panels for genetic diversity and population genetic studies: An ant colony algorithm approach with polymorphic information content.. Biology 2023;12:1280.
- Aberle K.S., Distl O. Domestication of the horse: Results based on microsatellite and mitochondrial DNA markers.. Arch. Anim. Breed. 2004;47:517–535.
- Balloux F., Lugon-Moulin N. The estimation of population differentiation with microsatellite markers.. Mol. Ecol. 2002;11:155–165.
- Cunningham E.P., Dooley J.J., Splan R.K., Bradley D.G. Microsatellite diversity, pedigree relatedness and the contributions of founder lineages to thoroughbred horses.. Anim. Genet. 2001;32:360–364.
- Wallner B., Piumi F., Brem G., Müller M., Achmann R. Isolation of Y chromosome-specific microsatellites in the horse and cross-species amplification in the genus Equus.. J. Hered. 2004;95:158–164.
- Katsoulakou M.E., Papachristou D., Kostaras N., Laliotis G., Bizelis I., Cothran E.G., Juras R., Koutsouli P. Genetic variability of small horse populations from Greek islands.. BSJ Agri. 2023;6:117–125.
- Sanger F., Nicklen S., Coulson A.R. DNA sequencing with chain-terminating inhibitors.. Proc. Natl. Acad. Sci. USA. 1977;74:5463–5467.
- Ellegren H. Microsatellites: Simple sequences with complex evolution. Nat. Rev. Genet. 2004;5:435–445. doi: 10.1038/nrg1348.
- Haasl R.J., Payseur B.A. Multi-locus inference of population structure: A comparison between single nucleotide polymorphisms and microsatellites. Heredity. 2011;106:158–171. doi: 10.1038/hdy.2010.21.
- Ablondi M., Vasini M., Beretti V., Superchi P., Sabbioni A. Exploring genetic diversity in an Italian Horse native breed to develop strategies for preservation and management. J. Anim. Breed. Genet. 2018;135:450–459. doi: 10.1111/jbg.12357.
- Baena M.M., Gervásio I.C., Rocha R.D.F.B., Procópio A.M., De Moura R.S., Meirelles S.L.C. Population structure and genetic diversity of Mangalarga Marchador horses. Livest. Sci. 2020;239:104109. doi: 10.1016/j.livsci.2020.104109.
- Ivanković A., Bittante G., Konjačić M., Kelava Ugarković N., Pećina M., Ramljak J. Evaluation of the Conservation Status of the Croatian Posavina horse breed based on pedigree and microsatellite data. Animals. 2021;11:2130. doi: 10.3390/ani11072130.
- Stasiol L.D., Perrotta G., Blasi M., Lisa C. Genetic characterization of the Bardigiano horse using microsatellite markers. Ital. J. Anim. Sci. 2008;7:243–250. doi: 10.4081/ijas.2008.243.
- 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;54:285–292. doi: 10.1007/s13353-013-0151-3.
- Seo J.-H., Park K.-D., Lee H.-K., Kong H.-S. Genetic diversity of Halla horses using microsatellite markers. J. Anim. Sci. Technol. 2016;58:40. doi: 10.1186/s40781-016-0120-6.
- Seyedabadi H.R., Sofla S.S. Microsatellite analysis for parentage verification and genetic characterization of the Turkmen horse population. Kafkas Univ. Vet. Fak. Derg. 2017;23:467–471.
- Machmoum M., Boujenane I., Azelhak R., Badaoui B., Petit D., Piro M. Genetic Diversity and population structure of Arabian horse populations using microsatellite markers. J. Equine Vet. Sci. 2020;93:103200. doi: 10.1016/j.jevs.2020.103200.
- Fornal A., Kowalska K., Zabek T., Piestrzynska-Kajtoch A., Musiał A.D., 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/ani10091569.
- Nadeem M.A., Nawaz M.A., Shahid M.Q., Doğan Y., Comertpay G., Yıldız M., Hatipoğlu R., Ahmad F., Alsaleh A., Labhane N., et al. DNA molecular markers in plant breeding: Current status and recent advancements in genomic selection and genome editing. Biotechnol. Biotechnol. Equip. 2018;32:261–285. doi: 10.1080/13102818.2017.1400401.
- Amiteye S. Basic Concepts and methodologies of DNA marker systems in plant molecular breeding. Heliyon. 2021;7:e08093. doi: 10.1016/j.heliyon.2021.e08093.
- Alves S.I.A., Dantas C.W.D., Macedo D.B., Ramos R.T.J. What are microsatellites and how to choose the best tool: A user-friendly review of SSR and 74 SSR mining tools. Front. Genet. 2024;15:1474611. doi: 10.3389/fgene.2024.1474611.
- Khanshour A., Conant E., Juras R., Cothran E.G. Microsatellite analysis of genetic diversity and population structure of Arabian horse populations. J. Hered. 2013;104:386–398. doi: 10.1093/jhered/est003.
- Raguz N., Korabi N., Lukić B., Drzaic I., Vostry L., Moravcikova N., Curik I., Kasarda R., Cubric-Curik V. Genomic characterization and population structure of Croatian Arabian horse. Livest. Sci. 2023;277:105343. doi: 10.1016/j.livsci.2023.105343.
- Binns M.M., Holmes N.G., Holliman A., Scott A.M. Genetic diversity in Bulgarian Thoroughbred using microsatellite DNA markers. Br. Vet. J. 1995;151:9–15. doi: 10.1016/S0007-1935(05)80057-0.
- Bowling A.T., Eggleston-Stott M.L., Byrns G., Clark R.S., Dileanis S., Wictum E. Validation of microsatellite markers for routine horse parentage testing. Anim. Genet. 1997;28:247–252. doi: 10.1111/j.1365-2052.1997.00123.x.
- Irvin Z., Giffard J., Brandon R., Breen M., Bell K. Equine dinucleotide repeat polymorphisms at loci ASB 21, 23, 25 and 37-43. Anim. Genet. 1998;29:67.
- Guerin G., Bertaud M., Amigues Y. Characterization of seven new horse microsatellites: HMS1, HMS2, HMS3, HMS5, HMS6, HMS7 and HMS8. Anim. Genet. 1994;25:62.
- Ellegren H., Johansson M., Sandberg K., Andersson L. Cloning of highly polymorphic microsatellites in the horse. Anim. Genet. 1992;23:133–142. doi: 10.1111/j.1365-2052.1992.tb00032.x.
- Marklund S., Ellegren H., Eriksson S., Sandberg K., Andersson L. Parentage testing and linkage analysis in the horse using a set of highly polymorphic microsatellites. Anim. Genet. 1994;25:19–23. doi: 10.1111/j.1365-2052.1994.tb00442.x.
- Peakall R., Smouse P.E. 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/bts460.
- Nei M., Tajima F., Tateno Y. Accuracy of estimated phylogenetic trees from molecular data. J. Mol. Evol. 1983;19:19153–19170. doi: 10.1007/BF02300753.
- Rodrigáñez J., Barragán C., Alves E., Gortázar C., Toro M.A., Silió L. Genetic diversity and allelic richness in Spanish wild and domestic pig population estimated from microsatellite markers. Span. J. Agric. Res. 2008;6:107–115. doi: 10.5424/sjar/200806S1-379.
- Kalinowski S.T. HP-Rare: A computer program for performing rarefaction on measures of allelic diversity. Mol. Ecol. Notes. 2005;5:187–189. doi: 10.1111/j.1471-8286.2004.00845.x.
- Weir B.S., Cockerham C.C. Estimating F-statistics for the analysis of population structure. Evolution. 1984;38:1358–1370. doi: 10.2307/2408641.
- Botstein D., White R.L., Skolnick M., Davis R.W. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am. J. Hum. Genet. 1980;32:314–331.
- Kalinowski S.T., Taper M.L., Marshall T.C. Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol. Ecol. 2007;16:1099–1106. doi: 10.1111/j.1365-294X.2007.03089.x.
- Pritchard J.K., Stephens M., Donnelly P. Inference of population structure using multilocus genotype data. Genetics. 2000;155:945–959. doi: 10.1093/genetics/155.2.945.
- Kopelman N.M., Mayzel J., Jakobsson M., Rosenberg N.A., Mayrose I. Clumpak: A program for identifying clustering modes and packaging population structure inferences across K. Mol. Ecol. Resour. 2015;15:1179–1191. doi: 10.1111/1755-0998.12387.
- Rosenberg N.A. Distruct: A program for the graphical display of population structure. Mol. Ecol. Notes. 2004;4:137–138. doi: 10.1046/j.1471-8286.2003.00566.x.
- 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.x.
- Puechmaille S.J. 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: 10.1111/1755-0998.12512.
- Yarali C., Köseman A., Özşensoy Y., Şeker İ., Toprak B., Zengin K. Parentage verification and genetic diversity of the Arabian and Thoroughbred horse populations in Türkiye using microsatellite analysis. Schweiz. Arch. Tierheilkd. 2023;165:716–725.
- Sargious M., El-Shawarby R., Abo-Salem M., EL-Shewy E., Ahmed H., Hagag N., Ramadan S.I. Genetic diversity of Egyptian Arabian horses from El-Zahraa stud based on 14 TKY microsatellite markers. Slo. Vet. Res. 2021;58:2. doi: 10.26873/SVR-1041-2020.
- Chapman J.R., Nakagawa S., Coltman D.W., Slate J., Sheldon B.C. A Quantitative review of heterozygosity–fitness correlations in animal populations. Mol. Ecol. 2009;18:2746–2765. doi: 10.1111/j.1365-294X.2009.04247.x.
- Barker J.S.F. Conservation and management of genetic diversity: A domestic animal perspective. Can. J. Forest. Res. 2001;31:588–595. doi: 10.1139/x00-180.
- Gasca-Pineda J., Cassaigne I., Alonso R.A., Eguiarte L.E. Effective population size, genetic variation, and their relevance for conservation: The bighorn sheep in Tiburon Island and comparisons with managed artiodactyls. PLoS ONE. 2013;8:e78120. doi: 10.1371/journal.pone.0078120.
- Hong E.P., Park J.W. Sample Size and Statistical Power Calculation in Genetic Association Studies. Genom. Inform. 2012;10:117. doi: 10.5808/GI.2012.10.2.117.
- Landguth E.L., Fedy B.C., Oyler-McCANCE S.J., Garey A.L., Emel S.L., Mumma M., Wagner H.H., Fortin M., Cushman S.A. Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern. Mol. Ecol. Resour. 2012;12:276–284. doi: 10.1111/j.1755-0998.2011.03077.x.
- Meirmans P.G. AMOVA-based clustering of population genetic data. J. Hered. 2012;103:744–750. doi: 10.1093/jhered/ess047.
- Valera M., Molina A., Gutierrez J.P., Gomez J., Goyache F. Pedigree analysis in the Andalusian horse: Population structure, genetic variability and influence of the Carthusian strain. Livest. Prod. Sci. 2005;95:57–66. doi: 10.1016/j.livprodsci.2004.12.004.
- Cosgrove E.J., Sadeghi R., Schlamp F., Holl H.M., Moradi-Shahrbabak M., Miraei-Ashtiani S.R., Abdalla S., Shykind B., Troedsson M., Stefaniuk-Szmukier M., et al. Genome Diversity and the Origin of the Arabian Horse. Sci. Rep. 2020;10:9702. doi: 10.1038/s41598-020-66232-1.
- Hristov P., Radoslavov G., Mehandjyiski I., Salkova D., Yordanov G. Genetic diversity and population structure among Arabian horse genealogical lineages in Bulgaria. Diversity. 2024;16:281. doi: 10.3390/d16050281.
- Głażewska I., Gralak B., Naczk A.M., Prusak B. Genetic diversity and population structure of Polish Arabian horses assessed through breeding and microsatellite data. Anim. Sci. J. 2018;89:735–742. doi: 10.1111/asj.12983.
Citations
This article has been cited 1 times.- Jlassi M, Dhifalli I, Ouled Ahmed H, Lasfar F, El Gtari M, Jemmali B. Genetic Characterization of the Arabian Horse Population in Tunisia Using Microsatellites.. Life (Basel) 2025 Dec 16;15(12).
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