Literature DB >> 24022219

Genome scan for meat quality traits in Nelore beef cattle.

P C Tizioto1, J E Decker, J F Taylor, R D Schnabel, M A Mudadu, F L Silva, G B Mourão, L L Coutinho, P Tholon, T S Sonstegard, A N Rosa, M M Alencar, R R Tullio, S R Medeiros, R T Nassu, G L D Feijó, L O C Silva, R A Torres, F Siqueira, R H Higa, L C A Regitano.   

Abstract

Meat quality traits are economically important because they affect consumers' acceptance, which, in turn, influences the demand for beef. However, selection to improve meat quality is limited by the small numbers of animals on which meat tenderness can be evaluated due to the cost of performing shear force analysis and the resultant damage to the carcass. Genome wide-association studies for Warner-Bratzler shear force measured at different times of meat aging, backfat thickness, ribeye muscle area, scanning parameters [lightness, redness (a*), and yellowness] to ascertain color characteristics of meat and fat, water-holding capacity, cooking loss (CL), and muscle pH were conducted using genotype data from the Illumina BovineHD BeadChip array to identify quantitative trait loci (QTL) in all phenotyped Nelore cattle. Phenotype count for these animals ranged from 430 to 536 across traits. Meat quality traits in Nelore are controlled by numerous QTL of small effect, except for a small number of large-effect QTL identified for a*fat, CL, and pH. Genomic regions harboring these QTL and the pathways in which the genes from these regions act appear to differ from those identified in taurine cattle for meat quality traits. These results will guide future QTL mapping studies and the development of models for the prediction of genetic merit to implement genomic selection for meat quality in Nelore cattle.

Entities:  

Keywords:  GWAS; QTL; Zebu; beef; cattle

Mesh:

Year:  2013        PMID: 24022219     DOI: 10.1152/physiolgenomics.00066.2013

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  39 in total

1.  Genetic analysis of carcass and meat quality traits in Nelore cattle1.

Authors:  Daniel Gustavo M Gordo; Rafael Espigolan; Tiago Bresolin; Gerardo A Fernandes Júnior; Ana F B Magalhães; Camila U Braz; Willian Bruno Fernandes; Fernando Baldi; Lucia G Albuquerque
Journal:  J Anim Sci       Date:  2018-09-07       Impact factor: 3.159

2.  METTL21C is a potential pleiotropic gene for osteoporosis and sarcopenia acting through the modulation of the NF-κB signaling pathway.

Authors:  Jian Huang; Yi-Hsiang Hsu; Maxrco Brotto; David Karasik; Chenglin Mo; Eduardo Abreu; Douglas P Kiel; Lynda F Bonewald
Journal:  J Bone Miner Res       Date:  2014-07       Impact factor: 6.741

3.  EEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle.

Authors:  T F Cardoso; J J Bruscadin; J Afonso; J Petrini; B G N Andrade; P S N de Oliveira; J M Malheiros; M I P Rocha; A Zerlotini; J B S Ferraz; G B Mourão; L L Coutinho; L C A Regitano
Journal:  Mamm Genome       Date:  2022-07-11       Impact factor: 3.224

4.  Genome-Wide Association Study of Potential Meat Quality Trait Loci in Ducks.

Authors:  Qixin Guo; Lan Huang; Hao Bai; Zhixiu Wang; Yulin Bi; Guohong Chen; Yong Jiang; Guobin Chang
Journal:  Genes (Basel)       Date:  2022-05-31       Impact factor: 4.141

5.  Detection of quantitative trait loci for mineral content of Nelore longissimus dorsi muscle.

Authors:  Polyana C Tizioto; Jeremy F Taylor; Jared E Decker; Caio F Gromboni; Mauricio A Mudadu; Robert D Schnabel; Luiz L Coutinho; Gerson B Mourão; Priscila S N Oliveira; Marcela M Souza; James M Reecy; Renata T Nassu; Flavia A Bressani; Patricia Tholon; Tad S Sonstegard; Mauricio M Alencar; Rymer R Tullio; Ana R A Nogueira; Luciana C A Regitano
Journal:  Genet Sel Evol       Date:  2015-03-11       Impact factor: 4.297

6.  Identification of genomic regions associated with feed efficiency in Nelore cattle.

Authors:  Priscila S N de Oliveira; Aline S M Cesar; Michele L do Nascimento; Amália S Chaves; Polyana C Tizioto; Rymer R Tullio; Dante P D Lanna; Antonio N Rosa; Tad S Sonstegard; Gerson B Mourao; James M Reecy; Dorian J Garrick; Maurício A Mudadu; Luiz L Coutinho; Luciana C A Regitano
Journal:  BMC Genet       Date:  2014-09-26       Impact factor: 2.797

7.  Multi-breed and multi-trait co-association analysis of meat tenderness and other meat quality traits in three French beef cattle breeds.

Authors:  Yuliaxis Ramayo-Caldas; Gilles Renand; Maria Ballester; Romain Saintilan; Dominique Rocha
Journal:  Genet Sel Evol       Date:  2016-04-23       Impact factor: 4.297

8.  Identification of Gene Networks for Residual Feed Intake in Angus Cattle Using Genomic Prediction and RNA-seq.

Authors:  Kristina L Weber; Bryan T Welly; Alison L Van Eenennaam; Amy E Young; Laercio R Porto-Neto; Antonio Reverter; Gonzalo Rincon
Journal:  PLoS One       Date:  2016-03-28       Impact factor: 3.240

9.  Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle.

Authors:  Lili Du; Tianpeng Chang; Bingxing An; Mang Liang; Xinghai Duan; Wentao Cai; Bo Zhu; Xue Gao; Yan Chen; Lingyang Xu; Lupei Zhang; Junya Li; Huijiang Gao
Journal:  Sci Rep       Date:  2021-06-07       Impact factor: 4.379

10.  Genome-wide association study for intramuscular fat deposition and composition in Nellore cattle.

Authors:  Aline S M Cesar; Luciana C A Regitano; Gerson B Mourão; Rymer R Tullio; Dante P D Lanna; Renata T Nassu; Maurício A Mudado; Priscila S N Oliveira; Michele L do Nascimento; Amália S Chaves; Maurício M Alencar; Tad S Sonstegard; Dorian J Garrick; James M Reecy; Luiz L Coutinho
Journal:  BMC Genet       Date:  2014-03-25       Impact factor: 2.797

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