Evidence map›Paper›PMID 36766249›Full record

ArticleAnimals : an open access journal from MDPI2023

Transcriptome Profiling of the Liver in Nellore Cattle Phenotypically Divergent for RFI in Two Genetic Groups.

Marta Serna-García, Larissa Fernanda Simielli Fonseca, Joaquin Javier Panadero Romero, Julian Carretero Asuncion, Danielly Beraldo Dos Santos Silva, Bruna Maria Salatta, Gabriela Bonfá Frezarim, Maria Eugênia Zerlotti Mercadante, Sarah Figueiredo Martins Bonilha, Jesus Aparecido Ferro and 1 more

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. 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
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  6. Review
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.

Marta Serna-GarcíaSchool of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal 14884-900, São Paulo, Brazil.ORCID 0000-0002-4058-2071
Larissa Fernanda Simielli FonsecaSchool of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal 14884-900, São Paulo, Brazil.
Joaquin Javier Panadero RomeroIgenomix S.L., 46021 Valencia, Spain.
Julian Carretero AsuncionDepartment of Physiology, Faculty of Medicine and Odontology, University of Valencia, 46100 Valencia, Spain.
Danielly Beraldo Dos Santos SilvaSchool of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal 14884-900, São Paulo, Brazil.
Bruna Maria SalattaSchool of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal 14884-900, São Paulo, Brazil.
Gabriela Bonfá FrezarimSchool of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal 14884-900, São Paulo, Brazil.
Maria Eugênia Zerlotti MercadanteNational Council for Scientific and Technological Development (CNPq), Brasília 71605-170, Distrito Federal, Brazil.
Sarah Figueiredo Martins BonilhaNational Council for Scientific and Technological Development (CNPq), Brasília 71605-170, Distrito Federal, Brazil.
Jesus Aparecido FerroSchool of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal 14884-900, São Paulo, Brazil.ORCID 0000-0002-3966-1303
Lucia Galvão De AlbuquerqueSchool of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal 14884-900, São Paulo, Brazil.ORCID 0000-0002-2030-7590

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 001São Paulo Research Foundation 2009/16118-5, #2017/10630-2 e #2018/20026-8
6 · The paper itself

Abstract

The identification and selection of genetically superior animals for residual feed intake (RFI) could enhance productivity and minimize environmental impacts. The aim of this study was to use RNA-seq data to identify the differentially expressed genes (DEGs), known non-coding RNAs (ncRNAs), specific biomarkers and enriched biological processes associated with RFI of the liver in Nellore cattle in two genetic groups. In genetic group 1 (G1), 24 extreme RFI animals (12 low RFI (LRFI) versus 12 high RFI (HRFI)) were selected from a population of 60 Nellore bulls. The RNA-seq of the samples from their liver tissues was performed using an Illumina HiSeq 2000. In genetic group 2 (G2), 20 samples of liver tissue of Nellore bulls divergent for RFI (LRFI,

Indexed as

biomarkersbovinefeed efficiencyliver tissuenon-coding RNAsRNA-Seq

Identifiers

PMID36766249
PMCPMC9913155

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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.