Genomic-Inbreeding Landscape and Selection Signatures in the Polo Argentino Horse Breed

Analyzing genetic variability and inbreeding trends is essential for effective breed management in animal populations. To this, the characterization of runs of homozygosity (ROH) provides a good genomic approach to study the phenomena. The Polo Argentino (PA) breed, globally recognized as the best adapted to playing polo, is known for its strong influence of Thoroughbreds, intense selective breeding, and extensive use of reproductive biotechnologies. This study investigates the PA's genomic variability, by characterizing the ROH landscape and identifying ROH islands (ROHi) as potential genomic footprints for the breed. PA horses (<i>n</i> = 506) were genotyped using EquineGGP™ array v5 (70 k). We calculated the inbreeding coefficient based on ROH (F<sub>ROH</sub>-ancestral and recent) using a chromosomal approach. Finally, we identified genomic regions with increased ROH frequency (ROHi) and their associated genes. An average of 79.5 ROH per horse was detected, with a mean length of 4.6 Mb. The average F<sub>ROH</sub> was 0.151, but most of them (54%) corresponded to ancestral inbreeding (ROH < 5.5 Mb). However, 4 ROHi were identified in ECA 1, 3, 7 and 17, containing 67 genes, some of which were related to behavior, neurodevelopment, and metabolic functions. This genomic analysis determined, for the first time, the length and location of homozygosity segments in the PA breed and identified ROHi associated with potential genomic regions and genes for positive selection in the breed.

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Journal
International Journal of Molecular Sciences
Published
2024-12-24
DOI
https://doi.org/10.3390/ijms26010026
Citations
1
Primary Topic
Genetic and phenotypic traits in livestock
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article
Field-Weighted Citation Impact
0.55

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article

Genomic-Inbreeding Landscape and Selection Signatures in the Polo Argentino Horse Breed

S. Demyda‐Peyrás, F. Azcona, A. Molina
1 citations
International Journal of Molecular Sciences
Genetic and phenotypic traits in livestock
0.55
article

Genomic-Inbreeding Landscape and Selection Signatures in the Polo Argentino Horse Breed

S. Demyda‐Peyrás, F. Azcona, A. Molina
article en
1 citations

Abstract

Analyzing genetic variability and inbreeding trends is essential for effective breed management in animal populations. To this, the characterization of runs of homozygosity (ROH) provides a good genomic approach to study the phenomena. The Polo Argentino (PA) breed, globally recognized as the best adapted to playing polo, is known for its strong influence of Thoroughbreds, intense selective breeding, and extensive use of reproductive biotechnologies. This study investigates the PA's genomic variability, by characterizing the ROH landscape and identifying ROH islands (ROHi) as potential genomic footprints for the breed. PA horses (<i>n</i> = 506) were genotyped using EquineGGP™ array v5 (70 k). We calculated the inbreeding coefficient based on ROH (F<sub>ROH</sub>-ancestral and recent) using a chromosomal approach. Finally, we identified genomic regions with increased ROH frequency (ROHi) and their associated genes. An average of 79.5 ROH per horse was detected, with a mean length of 4.6 Mb. The average F<sub>ROH</sub> was 0.151, but most of them (54%) corresponded to ancestral inbreeding (ROH < 5.5 Mb). However, 4 ROHi were identified in ECA 1, 3, 7 and 17, containing 67 genes, some of which were related to behavior, neurodevelopment, and metabolic functions. This genomic analysis determined, for the first time, the length and location of homozygosity segments in the PA breed and identified ROHi associated with potential genomic regions and genes for positive selection in the breed.

International Journal of Molecular SciencesVol. 26(1)
Centro Científico Tecnológico - La Plata (AR), University of Córdoba (ES), Universidad Nacional de La Plata (AR)
Consejo Nacional de Investigaciones Científicas y Técnicas, Ministerio de Economía y Competitividad, Agencia Nacional de Promoción Científica y Tecnológica
Openalex Percentile: Top 23%
Genetic and phenotypic traits in livestock
0.55
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