Evidence map›Paper›PMID 30832586›Full record

ArticleBMC genomics2019

Comparing the mRNA expression profile and the genetic determinism of intramuscular fat traits in the porcine gluteus medius and longissimus dorsi muscles.

Rayner González-Prendes, Raquel Quintanilla, Emilio Mármol-Sánchez, Ramona N Pena, Maria Ballester, Tainã Figueiredo Cardoso, Arianna Manunza, Joaquim Casellas, Ángela Cánovas, Isabel Díaz and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 38 citations in OpenAlex.

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  17. Comparative Transcriptome Analyses ofFrontiers in genetics · 2020
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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

14 authors at 4 institutions in 3 countries.

Rayner González-PrendesDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Raquel QuintanillaAnimal Breeding and Genetics Program, Institute for Research and Technology in Food and Agriculture (IRTA), Rovira Roure 191, 25198, Lleida, Spain.
Emilio Mármol-SánchezDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Ramona N PenaDepartament de Ciència Animal, Universitat de Lleida-Agrotecnio Centre, 25198, Lleida, Spain.
Maria BallesterAnimal Breeding and Genetics Program, Institute for Research and Technology in Food and Agriculture (IRTA), Rovira Roure 191, 25198, Lleida, Spain.
Tainã Figueiredo CardosoDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Arianna ManunzaDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Joaquim CasellasDepartament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Ángela CánovasCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, Ontario, N1G 2W1, Canada.
Isabel DíazInstitute for Research and Technology in Food and Agriculture (IRTA), Tecnologia dels Aliments, 17121, Monells, Spain.
José Luis NogueraAnimal Breeding and Genetics Program, Institute for Research and Technology in Food and Agriculture (IRTA), Rovira Roure 191, 25198, Lleida, Spain.
Anna CastellóDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Anna MercadéDepartament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
Marcel AmillsDepartment of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain. marcel.amills@uab.cat.ORCID http://orcid.org/0000-0002-8999-0770
Universitat Autònoma de Barcelona · ESInstitute of Agrifood Research and Technology · ESUniversitat de Lleida · ESUniversity of Guelph · CA

Funding

Ministerio de Economía y Competitividad AGL2013-48742-C2-1-RMinisterio de Economía y Competitividad AGL2013-48742-C2-2-R
6 · The paper itself

Abstract

backgroundIntramuscular fat (IMF) content and composition have a strong impact on the nutritional and organoleptic properties of porcine meat. The goal of the current work was to compare the patterns of gene expression and the genetic determinism of IMF traits in the porcine gluteus medius (GM) and longissimus dorsi (LD) muscles.

resultsA comparative analysis of the mRNA expression profiles of the pig GM and LD muscles in 16 Duroc pigs with available microarray mRNA expression measurements revealed the existence of 106 differentially expressed probes (fold-change > 1.5 and q-value < 0.05). Amongst the genes displaying the most significant differential expression, several loci belonging to the Hox transcription factor family were either upregulated (HOXA9, HOXA10, HOXB6, HOXB7 and TBX1) or downregulated (ARX) in the GM muscle. Differences in the expression of genes with key roles in carbohydrate and lipid metabolism (e.g. FABP3, ORMDL1 and SLC37A1) were also detected. By performing a GWAS for IMF content and composition traits recorded in the LD and GM muscles of 350 Duroc pigs, we identified the existence of one region on SSC14 (110-114 Mb) displaying significant associations with C18:0, C18:1(n-7), saturated and unsaturated fatty acid contents in both GM and LD muscles. Moreover, we detected several genome-wide significant associations that were not consistently found in both muscles. Further studies should be performed to confirm whether these associations are muscle-specific. Finally, the performance of an eQTL scan for 74 genes, located within GM QTL regions and with available microarray measurements of gene expression, made possible to identify 14 cis-eQTL regulating the expression of 14 loci, and six of them were confirmed by RNA-Seq.

conclusionsWe have detected significant differences in the mRNA expression patterns of the porcine LD and GM muscles, evidencing that the transcriptomic profile of the skeletal muscle tissue is affected by anatomical, metabolic and functional factors. A highly significant association with IMF composition on SSC14 was replicated in both muscles, highlighting the existence of a common genetic determinism, but we also observed the existence of a few associations whose magnitude and significance varied between LD and GM muscles.

Indexed as

Genome-Wide Association StudyAdipose TissueAnimalsGene Expression Regulation, DevelopmentalHumansLipid MetabolismMeatMuscle, SkeletalParaspinal MusclesPhenotypeQuantitative Trait LociRNA, MessengerSwineThighRNA, MessengerDuroc pigFatty acid contentGene expressionGenome-wide association analysisIntramuscular fat

Identifiers

PMID30832586
PMCPMC6399881
OpenAlexW2919470454

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.