Evidence map›Paper›PMID 31208329›Full record

ArticleBMC genomics2019

Differentially expressed mRNAs, proteins and miRNAs associated to energy metabolism in skeletal muscle of beef cattle identified for low and high residual feed intake.

Elisa B Carvalho, Mateus P Gionbelli, Rafael T S Rodrigues, Sarah F M Bonilha, Charles J Newbold, Simone E F Guimarães, Walmir Silva, Lucas L Verardo, Fabyano F Silva, Edenio Detmann and 1 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 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Compilations and updates on residual feed intake in sheep.Tropical animal health and production · 2024
    Review
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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

11 authors at 5 institutions in 2 countries.

Elisa B CarvalhoDepartment of Animal Science, Universidade Federal de Lavras, Lavras, MG, Brazil.
Mateus P GionbelliDepartment of Animal Science, Universidade Federal de Lavras, Lavras, MG, Brazil.
Rafael T S RodriguesDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
Sarah F M BonilhaCentro APTA Bovinos de Corte, Instituto de Zootecnia, Sertãozinho, SP, Brazil.
Charles J NewboldScotland's Rural College, Edinburgh, UK.
Simone E F GuimarãesDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
Walmir SilvaDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
Lucas L VerardoDepartment of Animal Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina, MG, Brazil.
Fabyano F SilvaDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
Edenio DetmannDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
Marcio S DuarteDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, MG, Brazil. marcio.duarte@ufv.br.ORCID http://orcid.org/0000-0002-5795-6420
Universidade Federal de Viçosa · BRUniversidade Federal de Lavras · BRInstitute of Animal Science and Pastures · BRScotland's Rural College · GBUniversidade Federal dos Vales do Jequitinhonha e Mucuri · BR

Funding

British Council 172728031Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 172728031Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 676/2018 - 23038.000839/2018-53Instituto Nacional de Ciência e Tecnologia de Ciência Animal 465377/2014-9
6 · The paper itself

Abstract

backgroundFeed efficiency is one of the most important parameters that affect beef production costs. The energy metabolism of skeletal muscle greatly contributes to variations in feed efficiency. However, information regarding differences in proteins involved in the energy metabolism of the skeletal muscle in beef cattle divergently identified for feed efficiency is scarce. In this study, we aimed to investigate energy metabolism of skeletal muscle of Nellore beef cattle, identified for low and high residual feed intake using a proteomics approach. We further assessed the expression of candidate microRNAs as a one of the possible mechanisms controlling the biosynthesis of the proteins involved in energy metabolism that were differentially abundant between high and low residual feed intake animals.

resultsA greater abundance of 14-3-3 protein epsilon (P = 0.01) was observed in skeletal muscle of residual feed intake (RFI) high animals (RFI-High). Conversely, a greater abundance of Heat Shock Protein Beta 1 (P < 0.01) was observed in the skeletal muscle of RFI-Low cattle. A greater mRNA expression of YWHAE, which encodes the 14-3-3 protein epsilon, was also observed in the skeletal muscle of RFI-High animals (P = 0.01). A lower mRNA expression of HSPB1, which encodes the Heat Shock Protein Beta 1, was observed in the skeletal muscle of RFI-High animals (P = 0.01). The miR-665 was identified as a potential regulator of the 14-3-3 protein epsilon, and its expression was greater in RFI-Low animals (P < .001). A greater expression of miR-34a (P = 0.01) and miR-2899 (P < .001) was observed in the skeletal muscle of RFI-High animals, as both miRNAs were identified as potential regulators of HSPB1 expression.

conclusionOur results show that Nellore cattle divergently identified for feed efficiency by RFI present changes in the abundance of proteins involved in energy expenditure in skeletal muscle. Moreover, our data point towards that miR-665, miR34a and miR-2899 are likely involved in controlling both 14-3-3 epsilon and HSPB1 proteins identified as differentially abundant in the skeletal muscle of RFI-High and RFI-Low Nellore cattle.

Indexed as

EatingGene Expression ProfilingRed MeatAnimal FeedAnimalsCattleEnergy MetabolismMaleMicroRNAsMuscle ProteinsMuscle, SkeletalProteomicsRNA, MessengerMicroRNAsMuscle ProteinsRNA, MessengerBovineFeed efficiencyMuscle biologyNelloreProteomics

Identifiers

PMID31208329
PMCPMC6580615
OpenAlexW2951833150

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.