Evidence map›Paper›PMID 32285226›Full record

ArticleFunctional & integrative genomics2020

Use of gene expression profile to identify potentially relevant transcripts to myofibrillar fragmentation index trait.

Maria Malane Magalhães Muniz, Larissa Fernanda Simielli Fonseca, Ana Fabrícia Braga Magalhães, Danielly Beraldo Dos Santos Silva, Angela Canovas, Stephanie Lam, Jesus Aparecido Ferro, Fernando Baldi, Artur Loyola Chardulo, Lucia Galvão de Albuquerque

Open access · greenAbstract read
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In one paragraph

Article in Functional & integrative genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Maria Malane Magalhães MunizSchool of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil. mmagalha@uoguelph.ca.
Larissa Fernanda Simielli FonsecaSchool of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
Ana Fabrícia Braga MagalhãesAPTA Beef Cattle Center, Animal Science Institute, Sertaozinho, São Paulo, Brazil.
Danielly Beraldo Dos Santos SilvaSchool of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
Angela CanovasDepartment of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada.
Stephanie LamDepartment of Animal Biosciences, Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada.
Jesus Aparecido FerroSchool of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
Fernando BaldiSchool of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
Artur Loyola CharduloNational Council for Scientific and Technological Development (CNPq), Brasilia, Brazil.
Lucia Galvão de AlbuquerqueSchool of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp), Jaboticabal, SP, Brazil.
Universidade Estadual Paulista (Unesp) · BRUniversity of Guelph · CANational Council for Scientific and Technological Development · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo (BR) # 09/16118-5, #17/04270-3, #18/11154-2
6 · The paper itself

Abstract

The myofibrillar fragmentation index (MFI) is an indicative trait for meat tenderness. Longissimus thoracis muscle samples from the 20 most extreme bulls (out of 80 bulls set) for MFI (high (n = 10) and low (n = 10) groups) trait were used to perform transcriptomic analysis, using RNA Sequencing (RNA-Seq). An average of 24.616 genes was expressed in the Nellore muscle transcriptome analysis. A total of 96 genes were differentially expressed (p value ≤ 0.001) between the two groups of divergent bulls for MFI. The HEBP2 and BDH1 genes were overexpressed in animals with high MFI. The MYBPH and MYL6, myosin encoders, were identified. The differentially expressed genes were related to increase mitochondria efficiency, especially in cells under oxidative stress conditions, and these also were related to zinc and calcium binding, membrane transport, and muscle constituent proteins, such as actin and myosin. Most of those genes were involved in metabolic pathways of oxidation-reduction, transport of lactate in the plasma membrane, and muscle contraction. This is the first study applying MFI phenotypes in transcriptomic studies to identify and understand differentially expressed genes for beef tenderness. These results suggest that differences detected in gene expression between high and low MFI animals are related to reactive mechanisms and structural components of oxidative fibers under the condition of cellular stress. Some genes may be selected as positional candidate genes to beef tenderness, MYL6, MYBPH, TRIM63, TRIM55, TRIOBP, and CHRNG genes. The use of MFI phenotypes could enhance results of meat tenderness studies.

Indexed as

Quantitative Trait, HeritableTranscriptomeAnimalsCattleCytoskeletal ProteinsGene Expression ProfilingHeme-Binding ProteinsMaleMuscle, SkeletalMyosinsReceptors, NicotinicRed MeatTripartite Motif ProteinsCytoskeletal ProteinsHeme-Binding ProteinsMyosinsReceptors, NicotinicTripartite Motif ProteinsLongissimus thoracisMeat qualityMFINellore

Identifiers

PMID32285226
OpenAlexW3016019886

What OpenQuestion holds

Textmetadata
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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.