Evidence map›Paper›PMID 27042330›Full record

ArticleJournal of animal science and technology2016

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

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

Open access · goldAbstract read
In one paragraph

Article in Journal of animal science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Nutritional Modulation, Gut, and Omics Crosstalk in Ruminants.Animals : an open access journal from MDPI · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Daniel Estanislao GoszczynskiInstituto de Genética Veterinaria "Ing. Fernando Noel Dulout" (IGEVET), CONICET, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, CC 296, La Plata, B1900AVW Argentina ; Fellow of the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Juliana Papaleo MazzuccoUnidad Integrada INTA Balcarce-Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, Balcarce, Argentina.
María Verónica RipoliInstituto de Genética Veterinaria "Ing. Fernando Noel Dulout" (IGEVET), CONICET, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, CC 296, La Plata, B1900AVW Argentina.
Edgardo Leopoldo VillarrealUnidad Integrada INTA Balcarce-Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, Balcarce, Argentina.
Andrés Rogberg-MuñozInstituto de Genética Veterinaria "Ing. Fernando Noel Dulout" (IGEVET), CONICET, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, CC 296, La Plata, B1900AVW Argentina.
Carlos Alberto MezzadraUnidad Integrada INTA Balcarce-Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, Balcarce, Argentina.
Lilia Magdalena MelucciUnidad Integrada INTA Balcarce-Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, Balcarce, Argentina.
Guillermo GiovambattistaInstituto de Genética Veterinaria "Ing. Fernando Noel Dulout" (IGEVET), CONICET, Facultad de Ciencias Veterinarias, Universidad Nacional de La Plata, CC 296, La Plata, B1900AVW Argentina.
National University of Mar del Plata · ARInstituto de Genética Veterinaria · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidad Nacional de La Plata · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeroxisome 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.

resultsGlobally, 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.

conclusionsPPARG 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.

Indexed as

AssociationBeefCowsPolymorphismSNPsVariation

Identifiers

PMID27042330
PMCPMC4818460
OpenAlexW2313738292

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.