Genome-wide association study in thoroughbred horses naturally infected with cyathostomins.

Autor: Dias De Castro LL; Laboratory of Parasitology, Department of Veterinary Medicine, University of Caxias do Sul. R: Francisco Getúlio Vargas, Caxias do Sul, Brazil., Oliveira Júnior GA; College of Animal Science and Food Science, University of São Paulo, Pirassununga, Brazil.; Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Canada., Perez BC; College of Animal Science and Food Science, University of São Paulo, Pirassununga, Brazil., Carvalho ME; College of Animal Science and Food Science, University of São Paulo, Pirassununga, Brazil., De Souza Ramos EA; Laboratory of Epigenetics, Department of Pathology, Federal University of Parana, Curitiba, Brazil., Ferraz JBS; College of Animal Science and Food Science, University of São Paulo, Pirassununga, Brazil., Molento MB; Laboratory of Veterinary Clinical Parasitology, Department of Veterinary Medicine, Federal University of Parana, Curitiba, Brazil.
Jazyk: angličtina
Zdroj: Animal biotechnology [Anim Biotechnol] 2023 Dec; Vol. 34 (7), pp. 2467-2479. Date of Electronic Publication: 2022 Jul 20.
DOI: 10.1080/10495398.2022.2099880
Abstrakt: Cyathostomins are considered one of the most important parasites of horses. A group of horses within a herd can be responsible for eliminating the majority of parasite eggs. This phenotype might be explained by genetic factors. This study aimed to identify genomic regions associated with fecal egg count (FEC) and hematological parameters by performing a genomic-wide association study (GWAS) in Thoroughbred horses naturally infected with cyathostomins. Packed cell volume (PCV), differential leukocyte, and FEC were determined from 90 horses. All animals were genotyped using the Illumina Equine 70 K BeadChip panel containing 65,157 SNP markers. The five genomic windows that have explained the highest percentage of the additive genetic variance of a specific trait (top 5) were further explored to identify candidate genes. A total of 33, 21, 30, 21, and 19 genes were identified for FEC, PCV, eosinophils, neutrophils, and lymphocyte count, respectively. The top 5 marker regions explained 2.86, 2.56, 2.73, 2.33, and 2.37% of the additive genetic variation of FEC, PCV, eosinophils, neutrophils, and lymphocytes count, respectively. This is the first study correlating phenotypic horse health traits to GWAS analysis, which may be used for animal breeding activities, reducing losses due to parasite infections.
Databáze: MEDLINE
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