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Genes2021; 12(3); doi: 10.3390/genes12030429

Suitability of Pedigree Information and Genomic Methods for Analyzing Inbreeding of Polish Cold-Blooded Horses Covered by Conservation Programs.

Abstract: Traditionally, pedigree-based relationship coefficients were used to manage inbreeding and control inbreeding depression that occurs within populations. The extensive incorporation of genomic data in livestock breeding creates the opportunity to develop and implement methods to manage populations at the genomic level. Consequently, the realized proportion of the genome that two individuals share can be more accurately estimated instead of using pedigree information to estimate the expected proportion of shared alleles. To make use of this improvement, in this study we evaluated the genomic inbreeding measures in the Polish conserved cold-blooded horse population and compared the data with the traditional measures of inbreeding. Additionally, an ancestry fractions/proportions from Admixture software were tested as an estimate of lineage (ancestry coefficient) used for horses qualifying for the conservation program. The highest correlation of pedigree-based (FPED) and genomic inbreeding estimates was found for FROH (runs of homozygosity-based F coefficient) and FUNI (F coefficient based on the correlation between uniting gametes). FROH correlation with FPED tended to increase as the number of generations registered as pedigree increased. While lineage and gene contributions (Q) from Admixture software correlated, they showed poor direct compliance; hence, Q-value cannot be recommended as the estimate of pedigree-based lineage. All these findings suggest that the methods of genomics should be considered as an alternative or support in the analysis of population structure in conservative breeding that can help control inbreeding in rare horse populations.
Publication Date: 2021-03-17 PubMed ID: 33802830PubMed Central: PMC8002693DOI: 10.3390/genes12030429Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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This research article investigates the effectiveness of using genomic data in managing inbreeding, specifically within Polish cold-blooded horses part of conservation programs. It compares the use of Genomic Inbreeding Measures to traditional methods of documentation and pedigree processing.

Understanding the Research

  • The study revolves around the practice of managing inbreeding in animal populations. Traditionally, relationships between animals were established based on pedigree data. However, with genomic data becoming more accessible, the opportunity arises to manage populations at a genetical level.
  • The subject of the research was the genetic management of Polish cold-blooded horses. The scientists evaluated potential genomic inbreeding measures for this conserved population and compared them with traditional documentation and family records.

Genomic vs Pedigree-Based Inbreeding Measures

  • One key finding was that the estimated shared genome between two individuals can be more accurately captured using genomic data rather than traditional pedigree data.
  • The research found that there was a high correlation between pedigree-based and genomic inbreeding estimates. In other words, the use of genomic data proved to be just as effective, if not more, at determining the degree of inbreeding occurring in a population.
  • However, it also showed that pedigree-based analysis tended to become more accurate as the number of recorded generations increased. This suggests that while genomic data is very effective, traditional methods still hold validity in managing inbreeding, especially where there is a longer pedigree history.

Further Analysis and Recommendations

  • A testing software called Admixture was used to estimate lineage contributions in the horse genetics. Despite some correlation with traditional gene contributions resulted from lineage tracking, the software’s direct compliance was found to be poor.
  • The researchers therefore concluded that the Q-value (a measure from Admixture software) should not replace pedigree-based lineage estimates.
  • The scientists recommend using genomic methods either as an addition or an alternative to traditional systems in tracking and controlling inbreeding, particularly for rare horse populations.

Cite This Article

APA
Polak G, Gurgul A, Jasielczuk I, Szmatoła T, Krupiński J, Bugno-Poniewierska M. (2021). Suitability of Pedigree Information and Genomic Methods for Analyzing Inbreeding of Polish Cold-Blooded Horses Covered by Conservation Programs. Genes (Basel), 12(3). https://doi.org/10.3390/genes12030429

Publication

ISSN: 2073-4425
NlmUniqueID: 101551097
Country: Switzerland
Language: English
Volume: 12
Issue: 3

Researcher Affiliations

Polak, Grażyna
  • Department of Horse Breeding, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland.
  • Office of the Director for Scientific Affairs, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland.
Gurgul, Artur
  • Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Rędzina 1c, 30-248 Kraków, Poland.
Jasielczuk, Igor
  • Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Rędzina 1c, 30-248 Kraków, Poland.
Szmatoła, Tomasz
  • Center for Experimental and Innovative Medicine, University of Agriculture in Krakow, Rędzina 1c, 30-248 Kraków, Poland.
Krupiński, Jędrzej
  • Department of Horse Breeding, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland.
Bugno-Poniewierska, Monika
  • Department of Animal Reproduction, Anatomy and Genomics, University of Agriculture in Kraków, al. Mickiewicza 24/28, 30-059 Kraków, Poland.

MeSH Terms

  • Animals
  • Conservation of Natural Resources
  • Genomics / methods
  • Genotype
  • Horses / classification
  • Horses / genetics
  • Inbreeding / methods
  • Pedigree
  • Polymorphism, Single Nucleotide

Conflict of Interest Statement

The authors declare that they have no conflict of interest.

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