Evidence map›Paper›PMID 30384851›Full record

ArticleBMC genomics2018

RNA-seq of muscle from pigs divergent in feed efficiency and product quality identifies differences in immune response, growth, and macronutrient and connective tissue metabolism.

Justyna Horodyska, Klaus Wimmers, Henry Reyer, Nares Trakooljul, Anne Maria Mullen, Peadar G Lawlor, Ruth M Hamill

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  5. Molecular Mechanism of m6A Methylation Modification GenesInternational journal of molecular sciences · 2023
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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

7 authors at 2 institutions in 2 countries.

Justyna HorodyskaTeagasc, Food Research Centre, Ashtown, Dublin, 15, Ireland.
Klaus WimmersLeibniz Institute for Farm Animal Biology (FBN), Institute for Genome Biology, Dummerstorf, Germany.
Henry ReyerLeibniz Institute for Farm Animal Biology (FBN), Institute for Genome Biology, Dummerstorf, Germany.
Nares TrakooljulLeibniz Institute for Farm Animal Biology (FBN), Institute for Genome Biology, Dummerstorf, Germany.
Anne Maria MullenTeagasc, Food Research Centre, Ashtown, Dublin, 15, Ireland.
Peadar G LawlorTeagasc, Pig Development Department, AGRIC, Moorepark, Fermoy, Co. Cork, Ireland.
Ruth M HamillTeagasc, Food Research Centre, Ashtown, Dublin, 15, Ireland. Ruth.Hamill@teagasc.ie.ORCID http://orcid.org/0000-0002-7230-6709
Teagasc - The Irish Agriculture and Food Development Authority · IEResearch Institute for Farm Animal Biology (FBN) · DE

Funding

FP7 International Cooperation No. 311794
6 · The paper itself

Abstract

backgroundFeed efficiency (FE) is an indicator of efficiency in converting energy and nutrients from feed into a tissue that is of major environmental and economic significance. The molecular mechanisms contributing to differences in FE are not fully elucidated, therefore the objective of this study was to profile the porcine Longissimus thoracis et lumborum (LTL) muscle transcriptome, examine the product quality from pigs divergent in FE and investigate the functional networks underpinning the potential relationship between product quality and FE.

resultsRNA-Seq (n = 16) and product quality (n = 40) analysis were carried out in the LTL of pigs differing in FE status. A total of 272 annotated genes were differentially expressed with a P < 0.01. Functional annotation revealed a number of biological events related to immune response, growth, carbohydrate & lipid metabolism and connective tissue indicating that these might be the key mechanisms governing differences in FE. Five most significant bio-functions altered in FE groups were 'haematological system development & function', 'lymphoid tissue structure & development', 'tissue morphology', 'cellular movement' and 'immune cell trafficking'. Top significant canonical pathways represented among the differentially expressed genes included 'IL-8 signalling', 'leukocyte extravasation signalling, 'sphingosine-1-phosphate signalling', 'PKCθ signalling in T lymphocytes' and 'fMLP signalling in neutrophils'. A minor impairment in the quality of meat, in relation to texture and water-holding capacity, produced by high-FE pigs was observed. High-FE pigs also had reduced intramuscular fat content and improved nutritional profile in terms of fatty acid composition.

conclusionsOntology analysis revealed enhanced activity of adaptive immunity and phagocytes in high-FE pigs suggesting more efficient conserving of resources, which can be utilised for other important biological processes. Shifts in carbohydrate conversion into glucose in FE-divergent muscle may underpin the divergent evolution of pH profile in meat from the FE-groups. Moreover, altered amino acid metabolism and increased mobilisation & flux of calcium may influence growth in FE-divergent muscle. Furthermore, decreased degradation of fibroblasts in FE-divergent muscle could impact on collagen turnover and alter tenderness of meat, whilst enhanced lipid degradation in high-FE pigs may potentially underlie a more efficient fat metabolism in these animals.

Indexed as

Sequence Analysis, RNAAnimal Nutritional Physiological PhenomenaAnimalsComputational BiologyConnective TissueEnergy MetabolismGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksGenetic Association StudiesImmunityMeat ProductsMuscle, SkeletalQuantitative Trait, HeritableSwineFEGene expressionResidual feed intakeRFIRNATranscriptomics

Identifiers

PMID30384851
PMCPMC6211475
OpenAlexW2898697536

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.