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Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i

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-finis...

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Autores principales: Adhikari, Mandeep, Kantar, Michael B., Longman, Ryan J., Lee, C. N., Oshiro, Melelani, Caires, Kyle, He, Yanghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203587/
https://www.ncbi.nlm.nih.gov/pubmed/37229195
http://dx.doi.org/10.3389/fgene.2023.1168150
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author Adhikari, Mandeep
Kantar, Michael B.
Longman, Ryan J.
Lee, C. N.
Oshiro, Melelani
Caires, Kyle
He, Yanghua
author_facet Adhikari, Mandeep
Kantar, Michael B.
Longman, Ryan J.
Lee, C. N.
Oshiro, Melelani
Caires, Kyle
He, Yanghua
author_sort Adhikari, Mandeep
collection PubMed
description 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.
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spelling pubmed-102035872023-05-24 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 Front Genet Genetics 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. Frontiers Media S.A. 2023-05-09 /pmc/articles/PMC10203587/ /pubmed/37229195 http://dx.doi.org/10.3389/fgene.2023.1168150 Text en Copyright © 2023 Adhikari, Kantar, Longman, Lee, Oshiro, Caires and He. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Adhikari, Mandeep
Kantar, Michael B.
Longman, Ryan J.
Lee, C. N.
Oshiro, Melelani
Caires, Kyle
He, Yanghua
Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i
title Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i
title_full Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i
title_fullStr Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i
title_full_unstemmed Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i
title_short Genome-wide association study for carcass weight in pasture-finished beef cattle in Hawai’i
title_sort genome-wide association study for carcass weight in pasture-finished beef cattle in hawai’i
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203587/
https://www.ncbi.nlm.nih.gov/pubmed/37229195
http://dx.doi.org/10.3389/fgene.2023.1168150
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