Analyze Diet
Polish journal of veterinary sciences2017; 20(3); 603-605; doi: 10.1515/pjvs-2017-0074

Assessment of genomic inbreeding in Polish Konik horses.

Abstract: The aim of this study was to assess the inbreeding coefficient of Polish Konik horses based on runs of homozygosity (ROH). Ninety six horses kept in 6 herds located across Poland were genotyped with the use of EquineSNP60 BeadChip (Illumina). SNP markers with a Minor Allele Frequency lower than 0.01 and SNPs assigned to chromosome X or Y were excluded from the study. A total of 50 708 SNPs were included for statistical analysis (SVS software, Golden Helix). The analysis showed that the population is in genetic equilibrium, with He and Ho estimates both equal to 0.3086. Seven categories of Runs of Homozygozity (ROH) length were defined: >0.5, >1, >2, >4, >8, >16, >25 Mb. The genomic inbreeding coefficient derived from ROH (FROH) calculated for each ROH length ranged from 15.96% based on the shortest ROH (>0,5Mb) to 2.71% for the longest ROH (>25Mb). Among individual horses, the inbreeding coefficient ranged from 5.25% to 22.41% (for ROH >1Mb). Analysis of ROH in Polish Koniks allows for more effective management of their inbreeding in the future.
Publication Date: 2017-11-23 PubMed ID: 29166287DOI: 10.1515/pjvs-2017-0074Google 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.
  • 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 set out to gauge the inbreeding coefficients of Polish Konik horses via runs of homozygosity (ROH) through genetic testing. The research identified a genetic balance within the population and revealed inbreeding percentages that varied based on length of ROH.

Understanding the Research Process

  • The study focused on Polish Konik horses and attempted to measure their inbreeding coefficient—a way to ascertain how closely related parents of an organism are, in this case, the horses. It used runs of homozygosity (ROH) as the method of assessment. ROH refers to continuous lengths within an individual’s DNA that is made up of identical pairs inherited from both parents. Higher ROH values could indicate higher levels of inbreeding.
  • Ninety-six horses across six herds all over Poland were chosen for the study. They were genotyped using the EquineSNP60 BeadChip produced by Illumina, a tool that enables researchers to analyze tens of thousands of single nucleotide polymorphisms (SNPs) simultaneously. SNPs are variations at a single position in a DNA sequence among individuals.
  • SNC markers that had a minor allele frequency (which denotes the smallest frequency at which the less common allele occurs in a given population) lower than 0.01 were excluded from the study. Additionally, SNPs that were assigned to the X and Y chromosomes were also eliminated. All measures were subjected to statistical analysis using SVS software (Golden Helix).

Key Findings

  • The analysis revealed that the Polish Konik horse population was in genetic equilibrium—meaning, the frequencies of alleles (different versions of the same gene) were constant from generation to generation. The estimates of heterozygosity (the measure of genetic variation at individual levels in a population) for both expected (He) and observed (Ho) were found to be equal at 0.3086.
  • Seven categories of ROH lengths were set, ranging from >0.5 to >25 Mb (Megabases, a unit of length for DNA segments). The genomic inbreeding coefficient, derived from ROH (FROH), ranged from 15.96% for the shortest ROHs to 2.71% for the longest ROHs.
  • At an individual level, the inbreeding coefficients ranged from 5.25% to 22.41% for ROHs more than 1Mb.

Implications of the Study

  • The research’s primary utility lies in contributing to the effective management of inbreeding among Polish Konik horses in the future. High levels of inbreeding can lead to reduced genetic variability, making populations less adaptable to changes in the environment, and increasing the risk of genetic disorders.

Cite This Article

APA
Kamiński S, Hering DM, Jaworski Z, Zabolewicz T, Ruść A. (2017). Assessment of genomic inbreeding in Polish Konik horses. Pol J Vet Sci, 20(3), 603-605. https://doi.org/10.1515/pjvs-2017-0074

Publication

ISSN: 1505-1773
NlmUniqueID: 101125473
Country: Germany
Language: English
Volume: 20
Issue: 3
Pages: 603-605

Researcher Affiliations

Kamiński, S
  • .
Hering, D M
  • .
Jaworski, Z
  • .
Zabolewicz, T
  • .
Ruść, A
  • .

MeSH Terms

  • Animals
  • Female
  • Genomics / methods
  • Genotype
  • Horses / genetics
  • Inbreeding
  • Male
  • Poland
  • Polymorphism, Single Nucleotide

Citations

This article has been cited 7 times.
  1. Duderstadt S, Distl O. Insights into Genomic Patterns of Homozygosity in the Endangered Dülmen Wild Horse Population. Genes (Basel) 2025 Sep 8;16(9).
    doi: 10.3390/genes16091054pubmed: 41009997google scholar: lookup
  2. Duderstadt S, Distl O. Influence of Sires on Population Substructure in Dülmen Wild Horses. Animals (Basel) 2024 Oct 9;14(19).
    doi: 10.3390/ani14192904pubmed: 39409853google scholar: lookup
  3. Duderstadt S, Distl O. 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) 2024 Jul 31;14(15).
    doi: 10.3390/ani14152221pubmed: 39123746google scholar: lookup
  4. Cardinali I, Giontella A, Tommasi A, Silvestrelli M, Lancioni H. Unlocking Horse Y Chromosome Diversity. Genes (Basel) 2022 Dec 2;13(12).
    doi: 10.3390/genes13122272pubmed: 36553539google scholar: lookup
  5. 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 (Basel) 2020 Sep 3;10(9).
    doi: 10.3390/ani10091569pubmed: 32899310google scholar: lookup
  6. Ablondi M, Dadousis C, Vasini M, Eriksson S, Mikko S, Sabbioni A. Genetic Diversity and Signatures of Selection in a Native Italian Horse Breed Based on SNP Data. Animals (Basel) 2020 Jun 8;10(6).
    doi: 10.3390/ani10061005pubmed: 32521830google scholar: lookup
  7. Velie BD, Solé M, Fegraeus KJ, Rosengren MK, Røed KH, Ihler CF, Strand E, Lindgren G. Genomic measures of inbreeding in the Norwegian-Swedish Coldblooded Trotter and their associations with known QTL for reproduction and health traits. Genet Sel Evol 2019 May 27;51(1):22.
    doi: 10.1186/s12711-019-0465-7pubmed: 31132983google scholar: lookup