↓ Skip to main content

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
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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, 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.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Researcher 3 19%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Other 3 19%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 50%
Chemical Engineering 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Computer Science 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 3 19%
Attention Score in Context

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
#19,945,185
of 25,374,917 outputs
Outputs from Journal of Animal Science and Technology
#95
of 190 outputs
Outputs of similar age
#219,497
of 314,727 outputs
Outputs of similar age from Journal of Animal Science and Technology
#4
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 190 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.