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Genetic characterisation of PPARG, CEBPA and RXRA, and their influence on meat quality traits in cattle

Overview of attention for article published in Journal of Animal Science and Technology, April 2016
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Title
Genetic characterisation of PPARG, CEBPA and RXRA, and their influence on meat quality traits in cattle
Published in
Journal of Animal Science and Technology, April 2016
DOI 10.1186/s40781-016-0095-3
Pubmed ID
Authors

Daniel Estanislao Goszczynski, Daniel Estanislao Goszczynski, Juliana Papaleo Mazzucco, María Verónica Ripoli, Edgardo Leopoldo Villarreal, Andrés Rogberg-Muñoz, Carlos Alberto Mezzadra, Lilia Magdalena Melucci, Guillermo Giovambattista

Abstract

Peroxisome proliferator-activated receptor gamma (PPARG), CCAAT/enhancer binding protein alpha (CEBPA) and retinoid X receptor alpha (RXRA) are nuclear transcription factors that play important roles in regulation of adipogenesis and fat deposition. The objectives of this study were to characterise the variability of these three candidate genes in a mixed sample panel composed of several cattle breeds with different meat quality, validate single nucleotide polymorphisms (SNPs) in a local crossbred population (Angus - Hereford - Limousin) and evaluate their effects on meat quality traits (backfat thickness, intramuscular fat content and fatty acid composition), supporting the association tests with bioinformatic predictive studies. Globally, nine SNPs were detected in the PPARG and CEBPA genes within our mixed panel, including a novel SNP in the latter. Three of these nine, along with seven other SNPs selected from the Single Nucleotide Polymorphism database (SNPdb), including SNPs in the RXRA gene, were validated in the crossbred population (N = 260). After validation, five of these SNPs were evaluated for genotype effects on fatty acid content and composition. Significant effects were observed on backfat thickness and different fatty acid contents (P < 0.05). Some of these SNPs caused slight differences in mRNA structure stability and/or putative binding sites for proteins. PPARG and CEBPA showed low to moderate variability in our sample panel. Variations in these genes, along with RXRA, may explain part of the genetic variation in fat content and composition. Our results may contribute to knowledge about genetic variation in meat quality traits in cattle and should be evaluated in larger independent populations.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 2 13%
Student > Master 2 13%
Other 1 7%
Student > Bachelor 1 7%
Other 3 20%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 47%
Chemical Engineering 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Environmental Science 1 7%
Computer Science 1 7%
Other 2 13%
Unknown 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2016.
All research outputs
#5,984,422
of 8,276,988 outputs
Outputs from Journal of Animal Science and Technology
#15
of 40 outputs
Outputs of similar age
#165,382
of 253,535 outputs
Outputs of similar age from Journal of Animal Science and Technology
#2
of 3 outputs
Altmetric has tracked 8,276,988 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 40 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 25 of them.
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