Evidence map›Paper›PMID 28327084›Full record

ArticleBMC genomics2017

A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs.

Florence Gondret, Annie Vincent, Magalie Houée-Bigot, Anne Siegel, Sandrine Lagarrigue, David Causeur, Hélène Gilbert, Isabelle Louveau

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
12.6field-weighted citation impact, top 1% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 124 citations in OpenAlex.

  1. Pooled it
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  6. Association between mitochondrial DNA copy number and production traits in pigs.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
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1 more citing papers are in PubMed but not listed here.

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.

Florence GondretPegase, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France. Florence.gondret@inra.fr.
Annie VincentPegase, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France.
Magalie Houée-BigotLaboratoire de Mathématiques Appliquées, IRMAR, Agrocampus Ouest, 35000, Rennes, France.
Anne SiegelIRISA, CNRS, Université Rennes-1, INRIA, 35042, Rennes cedex, France.
Sandrine LagarriguePegase, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France.
David CauseurLaboratoire de Mathématiques Appliquées, IRMAR, Agrocampus Ouest, 35000, Rennes, France.
Hélène GilbertGenPhySE, INRA, ENVT, Université de Toulouse, 31326, Castanet-Tolosan cedex, France.
Isabelle LouveauPegase, Agrocampus Ouest, INRA, 35590, Saint-Gilles, France.
Physiologie Environnement et Génétique pour l'Animal et les Systèmes d'Elevage · FRInstitut Agro Rennes-Angers · FRInstitut de Recherche en Informatique et Systèmes Aléatoires · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnimal's efficiency in converting feed into lean gain is a critical issue for the profitability of meat industries. This study aimed to describe shared and specific molecular responses in different tissues of pigs divergently selected over eight generations for residual feed intake (RFI).

resultsPigs from the low RFI line had an improved gain-to-feed ratio during the test period and displayed higher leanness but similar adiposity when compared with pigs from the high RFI line at 132 days of age. Transcriptomics data were generated from longissimus muscle, liver and two adipose tissues using a porcine microarray and analyzed for the line effect (n = 24 pigs per line). The most apparent effect of the line was seen in muscle, whereas subcutaneous adipose tissue was the less affected tissue. Molecular data were analyzed by bioinformatics and subjected to multidimensional statistics to identify common biological processes across tissues and key genes participating to differences in the genetics of feed efficiency. Immune response, response to oxidative stress and protein metabolism were the main biological pathways shared by the four tissues that distinguished pigs from the low or high RFI lines. Many immune genes were under-expressed in the four tissues of the most efficient pigs. The main genes contributing to difference between pigs from the low vs high RFI lines were CD40, CTSC and NTN1. Different genes associated with energy use were modulated in a tissue-specific manner between the two lines. The gene expression program related to glycogen utilization was specifically up-regulated in muscle of pigs from the low RFI line (more efficient). Genes involved in fatty acid oxidation were down-regulated in muscle but were promoted in adipose tissues of the same pigs when compared with pigs from the high RFI line (less efficient). This underlined opposite line-associated strategies for energy use in skeletal muscle and adipose tissue. Genes related to cholesterol synthesis and efflux in liver and perirenal fat were also differentially regulated in pigs from the low vs high RFI lines.

conclusionsNon-productive functions such as immunity, defense against pathogens and oxidative stress contribute likely to inter-individual variations in feed efficiency.

Indexed as

Gene Expression ProfilingGene Expression RegulationSignal TransductionTranscriptomeAnimal FeedAnimal Nutritional Physiological PhenomenaAnimalsBody CompositionComputational BiologyGene Regulatory NetworksGenetic VariationOrgan SpecificityQuantitative Trait, HeritableSwineFeed efficiencyMultiple factor analysisMulti-tissuesPigResidual feed intakeTranscriptome

Identifiers

PMID28327084
PMCPMC5361837
OpenAlexW2599933185

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.