Evidence map›Paper›PMID 38871745›Full record

ArticleScientific reports2024

Transcriptional response to an alternative diet on liver, muscle, and rumen of beef cattle.

Anna Carolina Fernandes, Antonio Reverter, Kate Keogh, Pâmela Almeida Alexandre, Juliana Afonso, Julio Cesar Pascale Palhares, Tainã Figueiredo Cardoso, Jessica Moraes Malheiros, Jennifer Jessica Bruscadin, Priscila Silva Neubern de Oliveira and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Effect of Dead-CellAnimals : an open access journal from MDPI · 2025
    Article
  5. Article
  6. 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

13 authors.

Anna Carolina FernandesDepartment of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil.
Antonio ReverterCSIRO Agriculture & Food, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, QLD, 4067, Australia.
Kate KeoghCSIRO Agriculture & Food, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, QLD, 4067, Australia.
Pâmela Almeida AlexandreCSIRO Agriculture & Food, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, Brisbane, QLD, 4067, Australia.
Juliana AfonsoBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Julio Cesar Pascale PalharesBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Tainã Figueiredo CardosoBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Jessica Moraes MalheirosBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Jennifer Jessica BruscadinCenter of Biological and Health Sciences, Federal University of São Carlos, São Carlos, São Paulo, Brazil.
Priscila Silva Neubern de OliveiraBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Gerson Barreto MourãoDepartment of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil.
Luciana Correia de Almeida RegitanoBrazilian Agricultural Research Corporation, Embrapa Pecuária Sudeste, São Carlos, São Paulo, Brazil.
Luiz Lehmann CoutinhoDepartment of Animal Science, Luiz de Queiroz College of Agriculture, University of São Paulo (ESALQ-USP), Piracicaba, São Paulo, Brazil. llcoutinho@usp.br.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/11953-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/04089-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/14321-0
6 · The paper itself

Abstract

Feed cost represents a major economic determinant within cattle production, amounting to an estimated 75% of the total variable costs. Consequently, comprehensive approaches such as optimizing feed utilization through alternative feed sources, alongside the selection of feed-efficient animals, are of great significance. Here, we investigate the effect of two diets, traditional corn-grain fed and alternative by-product based, on 14 phenotypes related to feed, methane emission and production efficiency and on multi-tissue transcriptomics data from liver, muscle, and rumen wall, derived from 52 Nellore bulls, 26 on each diet. To this end, diets were contrasted at the level of phenotype, gene expression, and gene-phenotype network connectivity. As regards the phenotypic level, at a P value < 0.05, significant differences were found in favour of the alternative diet for average daily weight gain at finishing, dry matter intake at finishing, methane emission, carcass yield and subcutaneous fat thickness at the rib-eye muscle area. In terms of the transcriptional level of the 14,776 genes expressed across the examined tissues, we found 487, 484, and 499 genes differentially expressed due to diet in liver, muscle, and rumen, respectively (P value < 0.01). To explore differentially connected phenotypes across both diet-based networks, we focused on the phenotypes with the largest change in average number of connections within diets and tissues, namely methane emission and carcass yield, highlighting, in particular, gene expression changes involving SREBF2, and revealing the largest differential connectivity in rumen and muscle, respectively. Similarly, from examination of differentially connected genes across diets, the top-ranked most differentially connected regulators within each tissue were MEOX1, PTTG1, and BASP1 in liver, muscle, and rumen, respectively. Changes in gene co-expression patterns suggest activation or suppression of specific biological processes and pathways in response to dietary interventions, consequently impacting the phenotype. The identification of genes that respond differently to diets and their associated phenotypic effects serves as a crucial stepping stone for further investigations, aiming to build upon our discoveries. Ultimately, such advancements hold the promise of improving animal welfare, productivity, and sustainability in livestock farming.

Indexed as

Animal FeedDietLiverRumenAnimalsCattleGene Expression ProfilingGene Regulatory NetworksMaleMuscle, SkeletalPhenotypeTranscriptome

Identifiers

PMID38871745
PMCPMC11176196

What Socratic 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 Socratic graph.