Abstract: Dülmen wild horses are kept in a fenced wooden and marsh area around Dülmen in Westphalia, Germany, since 1856. Previous analyses supported early genetic divergence from other domesticated horse populations and the Przewalski horse. Therefore, the objective of this study was to evaluate genetic diversity using high-density genomic data. Methods: We collected 337 one-year-old male Dülmen wild horses, captured at 12 annual auctions, for genotyping on the Illumina GGP Equine Plus Beadchip. All analyses were performed for 63,123 autosomal SNPs. Results: On average, each horse had 27.96 ROH with an average length of 8.237 Mb, resulting in an average genomic inbreeding coefficient F of 0.107. ROH with a length of 2-4 Mb were most frequent, and the next frequent ROH fall into the length categories of 4-8 and 8-16 Mb. The effective population size (N) steadily decreased in the last 100 generations by 4.57 individuals per generation from 498 to 41. We identified 10 ROH islands on equine chromosomes 1, 4, 5, 7, 9, and 10. Only one ROH island on ECA 1 was shared by 45% of the horses. Overrepresented genes of ROH islands were associated with glycerophospholipid catabolism through genes, skeletal muscle contraction (, ), synapse activity and structure (), regulation of inflammatory response ( genes), and genes, which are involved in many cellular processes and may also act as tumor suppressors and oncogenes. Conclusions: This study highlights the development of genomic inbreeding and shows the importance of the stallions selected for breeding on the genetic diversity of the Dülmen wild horses. The results of this study should be used to develop strategies to slow down increase in inbreeding and prevent transmitting unfavorable alleles from the stallions to the next generation.
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.
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.
Overview
This study investigates the genetic diversity and patterns of genomic homozygosity in the endangered Dülmen wild horse population using high-density genomic data.
The research aims to understand inbreeding levels, population size changes, and the genetic regions under homozygosity to inform conservation management strategies.
Background and Objective
The Dülmen wild horses have been maintained in a restricted fenced habitat in Westphalia, Germany, since 1856.
Previous studies showed that Dülmen wild horses genetically diverged early from domesticated horses and the Przewalski horse, indicating a unique genetic lineage.
The primary goal was to assess genetic diversity and inbreeding using detailed genomic data to better understand population structure and risks.
Methods
Sampling: 337 one-year-old male Dülmen wild horses were sampled over 12 annual auctions for this study.
Genotyping: Horses were genotyped using the Illumina GGP Equine Plus Beadchip, covering 63,123 autosomal single nucleotide polymorphisms (SNPs).
Analysis focused on runs of homozygosity (ROH) to measure genomic inbreeding and identify regions of the genome consistent across horses.
Key Findings
Each horse carried an average of about 28 ROHs with an average ROH length of 8.237 megabases (Mb).
The average genomic inbreeding coefficient (F) across the population was 0.107, indicating moderate inbreeding levels.
More frequent ROHs were shorter (2-4 Mb), with many also occurring in length categories of 4-8 Mb and 8-16 Mb, suggesting a mix of recent and older inbreeding events.
Effective population size (Ne) steadily declined over the last 100 generations, decreasing by approximately 4.57 individuals each generation, from 498 to around 41.
Ten highly homozygous genomic regions known as ROH islands were detected on six chromosomes (ECA 1, 4, 5, 7, 9, and 10), with one island on chromosome 1 present in 45% of horses.
Functional Insights from ROH Islands
Genes in ROH islands were linked to important biological pathways and functions, including:
Glycerophospholipid catabolism – critical in membrane lipid metabolism.
Skeletal muscle contraction – relevant for horse mobility and strength.
Synapse activity and structure – involved in neuronal signaling and brain function.
Regulation of inflammatory response – important for immune system function.
Genes with roles in cellular processes that may act as tumor suppressors or oncogenes, indicating possible impacts on health and disease susceptibility.
Conclusions and Conservation Implications
The study demonstrates that genomic inbreeding in the Dülmen wild horse population is increasing due to a reduction in effective population size and possibly breeding choices.
Stallions have a considerable influence on genetic diversity, highlighting the need for careful selection to avoid propagating deleterious alleles.
Findings emphasize the importance of monitoring genomic inbreeding and incorporating genetic information into breeding programs to maintain diversity and reduce risks of genetic disorders.
These insights can help guide conservation strategies to slow down inbreeding and preserve the health and vitality of this endangered horse population.
Cite This Article
APA
Duderstadt S, Distl O.
(2025).
Insights into Genomic Patterns of Homozygosity in the Endangered Dülmen Wild Horse Population.
Genes (Basel), 16(9), 1054.
https://doi.org/10.3390/genes16091054
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.
MeSH Terms
Animals
Horses / genetics
Male
Endangered Species
Homozygote
Polymorphism, Single Nucleotide
Inbreeding
Genome
Genomics / methods
Animals, Wild / genetics
Germany
Conflict of Interest Statement
The authors declare no conflicts of interest.
References
This article includes 48 references
Opora J. Die Wildbahngestüte Westfalens: Geschichte, Entwicklung und Zukunft.. Ph.D. Thesis. Tierärztliche Hochschule Hannover; Hannover, Germany: 2006.
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.
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.
Kasarda R, Moravčíková N, Kadlečík O, Trakovická A, Halo M, Candrák J. Level of inbreeding in Norik of Muran horse: Pedigree vs. genomic data.. Acta Univ. Agric. Silvic. Mendel. Brun. 2019;67:1457–1463.
Mancin E, Ablondi M, Mantovani R, Pigozzi G, Sabbioni A, Sartori C. Genetic variability in the Italian heavy draught horse from pedigree data and genomic information.. Animals 2020;10:1310.
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira M.A., Bender D, Maller J, Sklar P, De Bakker P.I., Daly M.J. PLINK: A tool set for whole-genome association and population-based linkage analyses.. Am. J. Hum. Genet. 2007;81:559–575.
Meyermans R, Gorssen W, Buys N, Janssens S. How to study runs of homozygosity using PLINK? A guide for analyzing medium density SNP data in livestock and pet species.. BMC Genom. 2020;21:94.
Lencz T, Lambert C, DeRosse P, Burdick K.E., Morgan T.V., Kane J.M., Kucherlapati R, Malhotra A.K. Runs of homozygosity reveal highly penetrant recessive loci in schizophrenia.. Proc. Natl. Acad. Sci. USA 2007;104:19942–19947.
McQuillan R, Leutenegger A-L, Abdel-Rahman R, Franklin CS, Pericic M, Barac-Lauc L, Smolej-Narancic N, Janicijevic B, Polasek O, Tenesa A. Runs of homozygosity in European populations. Am. J. Hum. Genet. 2008;83:359–372.
Gutiérrez J, Cervantes I, Goyache F. Improving the estimation of realized effective population sizes in farm animals. J. Anim. Breed. Genet. 2009;126:327–332.
Doekes HP, Curik I, Nagy I, Farkas J, Kövér G, Windig JJ. Revised calculation of Kalinowski’s ancestral and new inbreeding coefficients. Diversity 2020;12:155.
Harrison PW, Amode MR, Austine-Orimoloye O, Azov AG, Barba M, Barnes I, Becker A, Bennett R, Berry A, Bhai J. Ensembl 2024. Nucleic Acids Res. 2024;52:D891–D899.
Thomas PD, Ebert D, Muruganujan A, Mushayahama T, Albou LP, Mi H. PANTHER: Making genome-scale phylogenetics accessible to all. Protein Sci. 2022;31:8–22.
Mi H, Muruganujan A, Huang X, Ebert D, Mills C, Guo X, Thomas PD. Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0). Nat. Protoc. 2019;14:703–721.
Howard JT, Tiezzi F, Huang Y, Gray KA, Maltecca C. A heuristic method to identify runs of homozygosity associated with reduced performance in livestock. J. Anim. Sci. 2017;95:4318–4332.
Baes CF, Makanjuola BO, Miglior F, Marras G, Howard JT, Fleming A, Maltecca C. Symposium review: The genomic architecture of inbreeding: How homozygosity affects health and performance. J. Dairy Sci. 2019;102:2807–2817.
Tong Z-B, Gold L, Pfeifer KE, Dorward H, Lee E, Bondy CA, Dean J, Nelson LM. Mater, a maternal effect gene required for early embryonic development in mice. Nat. Genet. 2000;26:267–268.
Romar R, De Santis T, Papillier P, Perreau C, Thélie A, Dell’Aquila ME, Mermillod P, Dalbiès-Tran R. Expression of maternal transcripts during bovine oocyte in vitro maturation is affected by donor age. Reprod. Domest. Anim. 2011;46:e23–e30.
Ponsuksili S, Brunner RM, Goldammer T, Kühn C, Walz C, Chomdej S, Tesfaye D, Schellander K, Wimmers K, Schwerin M. Bovine NALP5, NALP8, and NALP9 genes: Assignment to a QTL region and the expression in adult tissues, oocytes, and preimplantation embryos. Biol. Reprod. 2006;74:577–584.
Cassandri M, Smirnov A, Novelli F, Pitolli C, Agostini M, Malewicz M, Melino G, Raschellà G. Zinc-finger proteins in health and disease. Cell Death Discov. 2017;3:17071.