Your browser doesn't support javascript.
loading
Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai'i.
Adhikari, Mandeep; Kantar, Michael B; Longman, Ryan J; Lee, C N; Oshiro, Melelani; Caires, Kyle; He, Yanghua.
Afiliação
  • Adhikari M; Department of Molecular Biosciences and Bioengineering, University of Hawai'i at Manoa, Honolulu, HI, United States.
  • Kantar MB; Department of Tropical Plant and Soil Sciences, University of Hawai'i at Manoa, Honolulu, HI, United States.
  • Longman RJ; East West Center, Honolulu, HI, United States.
  • Lee CN; Department of Geography and Environment, University of Hawai'i at Manoa, Honolulu, HI, United States.
  • Oshiro M; Department of Human Nutrition, Food, and Animal Sciences, University of Hawai'i at Manoa, Honolulu, HI, United States.
  • Caires K; Department of Human Nutrition, Food, and Animal Sciences, University of Hawai'i at Manoa, Honolulu, HI, United States.
  • He Y; Department of Human Nutrition, Food, and Animal Sciences, University of Hawai'i at Manoa, Honolulu, HI, United States.
Front Genet ; 14: 1168150, 2023.
Article em En | MEDLINE | ID: mdl-37229195
Introduction: Genome-wide association studies (GWAS) have identified genetic markers for cattle production and reproduction traits. Several publications have reported Single Nucleotide Polymorphisms (SNPs) for carcass-related traits in cattle, but these studies were rarely conducted in pasture-finished beef cattle. Hawai'i, however, has a diverse climate, and 100% of its beef cattle are pasture-fed. Methods: Blood samples were collected from 400 cattle raised in Hawai'i islands at the commercial harvest facility. Genomic DNA was isolated, and 352 high-quality samples were genotyped using the Neogen GGP Bovine 100 K BeadChip. SNPs that did not meet the quality control standards were removed using PLINK 1.9, and 85 k high-quality SNPs from 351 cattle were used for association mapping with carcass weight using GAPIT (Version 3.0) in R 4.2. Four models were used for the GWAS analysis: General Linear Model (GLM), the Mixed Linear Model (MLM), the Fixed and Random Model Circulating Probability Unification (FarmCPU), the Bayesian-Information and Linkage-Disequilibrium Iteratively Nested Keyway (BLINK). Results and Discussion: Our results indicated that the two multi-locus models, FarmCPU and BLINK, outperformed single-locus models, GLM and MLM, in beef herds in this study. Specifically, five significant SNPs were identified using FarmCPU, while BLINK and GLM each identified the other three. Also, three of these eleven SNPs ("BTA-40510-no-rs", "BovineHD1400006853", and "BovineHD2100020346") were shared by multiple models. The significant SNPs were mapped to genes such as EIF5, RGS20, TCEA1, LYPLA1, and MRPL15, which were previously reported to be associated with carcass-related traits, growth, and feed intake in several tropical cattle breeds. This confirms that the genes identified in this study could be candidate genes for carcass weight in pasture-fed beef cattle and can be selected for further breeding programs to improve the carcass yield and productivity of pasture-finished beef cattle in Hawai'i and beyond.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Front Genet Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Front Genet Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos