scholarly journals Genomic Approaches Reveal Pleiotropic Effects in Crossbred Beef Cattle

2021 ◽  
Vol 12 ◽  
Author(s):  
Fernanda M. Rezende ◽  
Eduardo Rodriguez ◽  
Joel D. Leal-Gutiérrez ◽  
Mauricio A. Elzo ◽  
Dwain D. Johnson ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Genomic Selection ◽  
Meat Quality ◽  
Additive Genetic Variance ◽  
Cytoskeletal Proteins ◽  
Pleiotropic Effects ◽  
Genome Wide Association Studies ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Genomic Regions

Carcass and meat quality are two important attributes for the beef industry because they drive profitability and consumer demand. These traits are of even greater importance in crossbred cattle used in subtropical and tropical regions for their superior adaptability because they tend to underperform compared to their purebred counterparts. Many of these traits are challenging and expensive to measure and unavailable until late in life or after the animal is harvested, hence unrealistic to improve through traditional phenotypic selection, but perfect candidates for genomic selection. Before genomic selection can be implemented in crossbred populations, it is important to explore if pleiotropic effects exist between carcass and meat quality traits. Therefore, the objective of this study was to identify genomic regions with pleiotropic effects on carcass and meat quality traits in a multibreed Angus–Brahman population that included purebred and crossbred animals. Data included phenotypes for 10 carcass and meat quality traits from 2,384 steers, of which 1,038 were genotyped with the GGP Bovine F-250. Single-trait genome-wide association studies were first used to investigate the relevance of direct additive genetic effects on each carcass, sensory and visual meat quality traits. A second analysis for each trait included all other phenotypes as covariates to correct for direct causal effects from identified genomic regions with pure direct effects on the trait under analysis. Five genomic windows on chromosomes BTA5, BTA7, BTA18, and BTA29 explained more than 1% of additive genetic variance of two or more traits. Moreover, three suggestive pleiotropic regions were identified on BTA10 and BTA19. The 317 genes uncovered in pleiotropic regions included anchoring and cytoskeletal proteins, key players in cell growth, muscle development, lipid metabolism and fat deposition, and important factors in muscle proteolysis. A functional analysis of these genes revealed GO terms directly related to carcass quality, meat quality, and tenderness in beef cattle, including calcium-related processes, cell signaling, and modulation of cell–cell adhesion. These results contribute with novel information about the complex genetic architecture and pleiotropic effects of carcass and meat quality traits in crossbred beef cattle.

scholarly journals 250 Genome wide Association analyses for meat quality traits in multibreed and crossbred beef cattle.

2018 ◽  
Vol 96 (suppl_3) ◽  
pp. 84-84
Author(s):  
M Abo-Ismail ◽  
J Crowley ◽  
E Akanno ◽  
C Li ◽  
P Stothard ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Genome Wide Association ◽  
Quality Traits ◽  
Association Analyses ◽  
Meat Quality Traits ◽  
Genome Wide

scholarly journals Genetic variability of meat quality traits in Chianina beef cattle

2004 ◽  
Vol 3 (2) ◽  
pp. 191-198 ◽  
Author(s):  
Francesca Cecchi ◽  
Claudia Russo ◽  
Giovanna Preziuso ◽  
Dario Cianci
Keyword(s):  
Genetic Variability ◽  
Beef Cattle ◽  
Meat Quality ◽  
Quality Traits ◽  
Meat Quality Traits

scholarly journals Identification of eQTLs and sQTLs associated with meat quality in beef

2019 ◽  
Author(s):  
Joel David Leal Gutierrez ◽  
Mauricio A. Elzo ◽  
Raluca G. Mateescu
Keyword(s):  
Meat Quality ◽  
Fixed Effects ◽  
Differential Expression Analysis ◽  
Cytoskeletal Proteins ◽  
Longissimus Dorsi ◽  
Quality Traits ◽  
Master Regulators ◽  
Longissimus Dorsi Muscle ◽  
Meat Quality Traits ◽  
Dorsi Muscle

Abstract Background: Transcription has a substantial genetic control and genetic dissection of gene expression could help us understand the genetic architecture of complex phenotypes such as meat quality in cattle. The objectives of the present research were: 1) to perform eQTL and sQTL mapping analyses for meat quality traits in longissimus dorsi muscle; 2) to uncover genes whose expression is influenced by local or distant genetic variation; 3) to identify expression and splicing hot spots; and 4) to uncover genomic regions affecting the expression of multiple genes. Results: Eighty steers were selected for phenotyping, genotyping and RNA-seq evaluation. A panel of traits related to meat quality was recorded in longissimus dorsi muscle. Information on 112,042 SNPs and expression data on 8,588 autosomal genes and 87,770 exons from 8,467 genes were included in an expression and splicing quantitative trait loci (QTL) mapping (eQTL and sQTL, respectively). A gene, exon and isoform differential expression analysis previously carried out in this population identified 1,352 genes, referred to as DEG, as explaining part of the variability associated with meat quality traits. The eQTL and sQTL mapping was performed using a linear regression model in the R package Matrix eQTL. Genotype and year of birth were included as fixed effects, and population structure was accounted for by including as a covariate the first PC from a PCA analysis on genotypic data. The identified QTLs were classified as cis or trans using 1 Mb as the maximum distance between the associated SNP and the gene being analyzed. A total of 8,377 eQTLs were identified, including 75.6% trans, 10.4% cis, 12.5% DEG trans and 1.5% DEG cis; while 11,929 sQTLs were uncovered: 66.1% trans, 16.9% DEG trans, 14% cis and 3% DEG cis. Twenty-seven expression master regulators and 13 splicing master regulators were identified and were classified as membrane-associated or cytoskeletal proteins, transcription factors or DNA methylases. These genes could control the expression of other genes through cell signaling or by a direct transcriptional activation/repression mechanism. Conclusion: In the present analysis, we show that eQTL and sQTL mapping makes possible positional identification of gene and isoform expression regulators.

scholarly journals Effects of crossing of domestic breed with beef breeds on the quality of meat in PR China and Republic of Serbia

2013 ◽  
Vol 29 (2) ◽  
pp. 385-397
Author(s):  
S. Aleksic ◽  
Sun Fang ◽  
Liu Di ◽  
M.M. Petrovic ◽  
V. Pantelic ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Quality Traits ◽  
Beef Production ◽  
Cattle Breeds ◽  
Meat Quality Traits ◽  
Lean Beef ◽  
Beef Cattle Breeds ◽  
French Beef

This paper presents the results of crossing Domestic Spotted breed with beef cattle breeds in the People's Republic of China and the Republic of Serbia. China is a big country of beef production and consumption. In 2012, beef production in China was 5,540,000 tons, which accounted for 9.7% of the global beef production, ranking the third in the world. The main sources of China?s beef are from crossbreeding cattle (native breed crossbred with foreign beef cattle). Simmental cattle are the most-widely used beef cattle in China?s improved beef cattle. China has cultivated its own Simmental after over 40 years? crossbreeding and improvement. China?s consumers mainly have three demands for beef quality as follows: expensive beef produced from Wagyu crossbreed with better marbling; lean beef from Simmental, Charolais and Limousin crossbreeds, top parts supplied to hotels while common parts to supermarkets; veal from cow calves. Chinese researchers are carrying out researches which are centered on marbling beef, lean beef and veal on complete techniques of good breed, feeding management, slaughter and cutting and carcass classification. At present, researchers have lively interest in functional genomics of meat quality traits of cattle, they expect to use these methods to study meat quality traits and then improve the meat quality. Improved cattle breeds universally utilized in China are mainly Simmental followed by Charolais, Limousin, Wagyu and Angus. Other three cattle breeds including Belgian blue cattle, Piedmontese and Gelbvien have ever been applied, however, rarely used in present beef cattle production. Republic of Serbia has in the future to quickly and efficiently provide adequate quantities of top quality meat. One of the ways to increase the yield and quality of the meat is crossing of Domestic spotted cattle of lower production traits with French beef cattle breeds. Beef production in the EU is adapted to the consumer taste. Meat must have a light red colour, equally suffused with fat and with pronounced sensory characteristics such as tenderness, juiciness, flavour and aroma. The results on the quality of meat of F1 generation crosses (Domestic Spotted breed with French beef cattle breeds Charolais and Limousine) indicate that by industrial crossing beef, meat-packing and organoleptic characteristics of meat can be improved.

Effect of thyroglobulin gene polymorphisms on growth, carcass composition and meat quality traits in Chinese beef cattle

2015 ◽  
Vol 42 (9) ◽  
pp. 1403-1407 ◽  
Author(s):  
Lupei Zhang ◽  
Hongyan Ren ◽  
Jiuguang Yang ◽  
Qianfu Gan ◽  
Fuping Zhao ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Gene Polymorphisms ◽  
Carcass Composition ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Thyroglobulin Gene

scholarly journals Fine mapping of quantitative trait loci underlying sensory meat quality traits in three French beef cattle breeds1

2014 ◽  
Vol 92 (10) ◽  
pp. 4329-4341 ◽  
Author(s):  
S. Allais ◽  
H. Levéziel ◽  
J. F. Hocquette ◽  
S. Rousset ◽  
C. Denoyelle ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Beef Cattle ◽  
Meat Quality ◽  
Fine Mapping ◽  
Quantitative Trait ◽  
Quality Traits ◽  
Meat Quality Traits ◽  
Trait Loci ◽  
French Beef

scholarly journals Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle

BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Maurício A. Mudadu ◽  
Laercio R. Porto-Neto ◽  
Fabiana B. Mokry ◽  
Polyana C. Tizioto ◽  
Priscila S. N. Oliveira ◽  
...  
Keyword(s):  
Beef Cattle ◽  
Meat Quality ◽  
Gene Networks ◽  
Genomic Structure ◽  
Quality Traits ◽  
Meat Quality Traits
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