Evidence map›Paper›PMID 32439843›Full record

ArticleScientific reports2020

Genetic regulators of mineral amount in Nelore cattle muscle predicted by a new co-expression and regulatory impact factor approach.

Juliana Afonso, Marina Rufino Salinas Fortes, Antonio Reverter, Wellison Jarles da Silva Diniz, Aline Silva Mello Cesar, Andressa Oliveira de Lima, Juliana Petrini, Marcela M de Souza, Luiz Lehmann Coutinho, Gerson Barreto Mourão and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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  5. The association ofArchives animal breeding · 2025
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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

14 authors at 9 institutions in 3 countries.

Juliana AfonsoDepartment of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, Brazil.ORCID http://orcid.org/0000-0002-4435-5386
Marina Rufino Salinas FortesSchool of Chemistry and Molecular Biosciences, Faculty of Sciences, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-7254-1960
Antonio ReverterAgriculture and Food, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia.
Wellison Jarles da Silva DinizDepartment of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, Brazil.ORCID http://orcid.org/0000-0003-1082-5535
Aline Silva Mello CesarDepartment of Agroindustry, Food and Nutrition, University of São Paulo/ESALQ, Piracicaba, Brazil.ORCID http://orcid.org/0000-0001-9921-214X
Andressa Oliveira de LimaDepartment of Evolutionary Genetics and Molecular Biology, Federal University of São Carlos, São Carlos, Brazil.
Juliana PetriniDepartment of Statistics, Institute of Exact Sciences, Federal University of Alfenas, Alfenas, Brazil.
Marcela M de SouzaDepartment of Animal Science, Iowa State University, Ames, IA, USA.ORCID http://orcid.org/0000-0001-7512-5893
Luiz Lehmann CoutinhoDepartment of Animal Science, University of São Paulo/ESALQ, Piracicaba, Brazil.ORCID http://orcid.org/0000-0002-7266-8881
Gerson Barreto MourãoDepartment of Agroindustry, Food and Nutrition, University of São Paulo/ESALQ, Piracicaba, Brazil.
Adhemar ZerlotiniBioinformatic Multi-user Laboratory, Embrapa Informática Agropecuária, Campinas, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-7739-0284
Caio Fernando GromboniBahia Federal Institute of Education, Science and Technology, Ilhéus, Brazil.
Ana Rita Araújo NogueiraEmbrapa Pecuária Sudeste, São Carlos, Brazil.ORCID http://orcid.org/0000-0003-3648-2956
Luciana Correia de Almeida RegitanoEmbrapa Pecuária Sudeste, São Carlos, Brazil. luciana.regitano@embrapa.br.ORCID http://orcid.org/0000-0001-9242-8351
Brazilian Agricultural Research Corporation · BRUniversidade Federal de São Carlos · BRUniversidade Metodista de São Paulo · BRCommonwealth Scientific and Industrial Research Organisation · AUInstituto Federal da Bahia · BRIowa State University · USThe University of Queensland · AUUniversidade de São Paulo · BRUniversidade Federal de Alfenas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mineral contents in bovine muscle can affect meat quality, growth, health, and reproductive traits. To better understand the genetic basis of this phenotype in Nelore (Bos indicus) cattle, we analysed genome-wide mRNA and miRNA expression data from 114 muscle samples. The analysis implemented a new application for two complementary algorithms: the partial correlation and information theory (PCIT) and the regulatory impact factor (RIF), in which we included the estimated genomic breeding values (GEBVs) for the phenotypes additionally to the expression levels, originally proposed for these methods. We used PCIT to determine putative regulatory relationships based on significant associations between gene expression and GEBVs for each mineral amount. Then, RIF was adopted to determine the regulatory impact of genes and miRNAs expression over the GEBVs for the mineral amounts. We also investigated over-represented pathways, as well as pieces of evidences from previous studies carried in the same population and in the literature, to determine regulatory genes for the mineral amounts. For example, NOX1 expression level was positively correlated to Zinc and has been described as Zinc-regulated in humans. Based on our approach, we were able to identify genes, miRNAs and pathways not yet described as underlying mineral amount. The results support the hypothesis that extracellular matrix interactions are the core regulator of mineral amount in muscle cells. Putative regulators described here add information to this hypothesis, expanding the knowledge on molecular relationships between gene expression and minerals.

Indexed as

Gene Expression RegulationGene Regulatory NetworksPhenotypeAnimalsCattleGenomeMicroRNAsMineralsMuscle, SkeletalRNA, MessengerMicroRNAsMineralsRNA, Messenger

Identifiers

PMID32439843
PMCPMC7242321
OpenAlexW3026957941

What OpenQuestion holds

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LicenceCC BY
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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.