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Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results
Beef cattle affected by feet and legs malformations (FLM) cannot perform their productive and reproductive functions satisfactorily, resulting in significant economic losses. Accelerated weight gain in young animals due to increased fat deposition can lead to ligaments, tendon and joint strain and p...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468598/ https://www.ncbi.nlm.nih.gov/pubmed/37662838 http://dx.doi.org/10.3389/fgene.2023.1118308 |
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author | Silva, Thales de Lima Gondro, Cedric Fonseca, Pablo Augusto de Souza da Silva, Delvan Alves Vargas, Giovana Neves, Haroldo Henrique de Rezende Carvalho Filho, Ivan Teixeira, Caio de Souza de Albuquerque, Lucia Galvão Carvalheiro, Roberto |
author_facet | Silva, Thales de Lima Gondro, Cedric Fonseca, Pablo Augusto de Souza da Silva, Delvan Alves Vargas, Giovana Neves, Haroldo Henrique de Rezende Carvalho Filho, Ivan Teixeira, Caio de Souza de Albuquerque, Lucia Galvão Carvalheiro, Roberto |
author_sort | Silva, Thales de Lima |
collection | PubMed |
description | Beef cattle affected by feet and legs malformations (FLM) cannot perform their productive and reproductive functions satisfactorily, resulting in significant economic losses. Accelerated weight gain in young animals due to increased fat deposition can lead to ligaments, tendon and joint strain and promote gene expression patterns that lead to changes in the normal architecture of the feet and legs. The possible correlated response in the FLM due to yearling weight (YW) selection suggest that this second trait could be used as an indirect selection criterion. Therefore, FLM breeding values and the genetic correlation between FLM and yearling weight (YW) were estimated for 295,031 Nellore animals by fitting a linear-threshold model in a Bayesian approach. A genome-wide association study was performed to identify genomic windows and positional candidate genes associated with FLM. The effects of single nucleotide polymorphisms (SNPs) on FLM phenotypes (affected or unaffected) were estimated using the weighted single-step genomic BLUP method, based on genotypes of 12,537 animals for 461,057 SNPs. Twelve non-overlapping windows of 20 adjacent SNPs explaining more than 1% of the additive genetic variance were selected for candidate gene annotation. Functional and gene prioritization analysis of candidate genes identified six genes (ATG7, EXT1, ITGA1, PPARD, SCUBE3, and SHOX) that may play a role in FLM expression due to their known role in skeletal muscle development, aberrant bone growth, lipid metabolism, intramuscular fat deposition and skeletogenesis. Identifying genes linked to foot and leg malformations enables selective breeding for healthier herds by reducing the occurrence of these conditions. Genetic markers can be used to develop tests that identify carriers of these mutations, assisting breeders in making informed breeding decisions to minimize the incidence of malformations in future generations, resulting in greater productivity and animal welfare. |
format | Online Article Text |
id | pubmed-10468598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104685982023-09-01 Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results Silva, Thales de Lima Gondro, Cedric Fonseca, Pablo Augusto de Souza da Silva, Delvan Alves Vargas, Giovana Neves, Haroldo Henrique de Rezende Carvalho Filho, Ivan Teixeira, Caio de Souza de Albuquerque, Lucia Galvão Carvalheiro, Roberto Front Genet Genetics Beef cattle affected by feet and legs malformations (FLM) cannot perform their productive and reproductive functions satisfactorily, resulting in significant economic losses. Accelerated weight gain in young animals due to increased fat deposition can lead to ligaments, tendon and joint strain and promote gene expression patterns that lead to changes in the normal architecture of the feet and legs. The possible correlated response in the FLM due to yearling weight (YW) selection suggest that this second trait could be used as an indirect selection criterion. Therefore, FLM breeding values and the genetic correlation between FLM and yearling weight (YW) were estimated for 295,031 Nellore animals by fitting a linear-threshold model in a Bayesian approach. A genome-wide association study was performed to identify genomic windows and positional candidate genes associated with FLM. The effects of single nucleotide polymorphisms (SNPs) on FLM phenotypes (affected or unaffected) were estimated using the weighted single-step genomic BLUP method, based on genotypes of 12,537 animals for 461,057 SNPs. Twelve non-overlapping windows of 20 adjacent SNPs explaining more than 1% of the additive genetic variance were selected for candidate gene annotation. Functional and gene prioritization analysis of candidate genes identified six genes (ATG7, EXT1, ITGA1, PPARD, SCUBE3, and SHOX) that may play a role in FLM expression due to their known role in skeletal muscle development, aberrant bone growth, lipid metabolism, intramuscular fat deposition and skeletogenesis. Identifying genes linked to foot and leg malformations enables selective breeding for healthier herds by reducing the occurrence of these conditions. Genetic markers can be used to develop tests that identify carriers of these mutations, assisting breeders in making informed breeding decisions to minimize the incidence of malformations in future generations, resulting in greater productivity and animal welfare. Frontiers Media S.A. 2023-08-16 /pmc/articles/PMC10468598/ /pubmed/37662838 http://dx.doi.org/10.3389/fgene.2023.1118308 Text en Copyright © 2023 Silva, Gondro, Fonseca, Silva, Vargas, Neves, Carvalho Filho, Teixeira, Albuquerque and Carvalheiro. 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 Silva, Thales de Lima Gondro, Cedric Fonseca, Pablo Augusto de Souza da Silva, Delvan Alves Vargas, Giovana Neves, Haroldo Henrique de Rezende Carvalho Filho, Ivan Teixeira, Caio de Souza de Albuquerque, Lucia Galvão Carvalheiro, Roberto Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results |
title | Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results |
title_full | Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results |
title_fullStr | Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results |
title_full_unstemmed | Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results |
title_short | Feet and legs malformation in Nellore cattle: genetic analysis and prioritization of GWAS results |
title_sort | feet and legs malformation in nellore cattle: genetic analysis and prioritization of gwas results |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468598/ https://www.ncbi.nlm.nih.gov/pubmed/37662838 http://dx.doi.org/10.3389/fgene.2023.1118308 |
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