Evidence map›Paper›PMID 30335783›Full record

ArticlePloS one2018

Combining multi-OMICs information to identify key-regulator genes for pleiotropic effect on fertility and production traits in beef cattle.

Pablo Augusto de Souza Fonseca, Samir Id-Lahoucine, Antonio Reverter, Juan F Medrano, Marina S Fortes, Joaquim Casellas, Filippo Miglior, Luiz Brito, Maria Raquel S Carvalho, Flávio S Schenkel and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 66 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

14 authors at 7 institutions in 5 countries.

Pablo Augusto de Souza FonsecaUniversity of Guelph, Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, Guelph, Ontario, Canada.
Samir Id-LahoucineUniversity of Guelph, Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, Guelph, Ontario, Canada.
Antonio ReverterCSIRO Agriculture and Food, Queensland Bioscience Precinct, Brisbane, Queensland, Australia.
Juan F MedranoUniversity of California-Davis, Department of Animal Science, Davis, California, United States of America.
Marina S FortesThe University of Queensland, School of Chemistry and Molecular Biosciences, Brisbane, Queensland, Australia.ORCID 0000-0002-7254-1960
Joaquim CasellasUniversitat Autònoma de Barcelona, Departament de Ciència Animal i dels Aliments, Barcelona, Bellaterra, Barcelona, Spain.
Filippo MigliorUniversity of Guelph, Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, Guelph, Ontario, Canada.
Luiz BritoUniversity of Guelph, Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, Guelph, Ontario, Canada.
Maria Raquel S CarvalhoUniversidade Federal de Minas Gerais, Departamento de Biologia Geral, Belo Horizonte, Minas Gerais, Brazil.
Flávio S SchenkelUniversity of Guelph, Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, Guelph, Ontario, Canada.
Loan T NguyenThe University of Queensland, School of Chemistry and Molecular Biosciences, Brisbane, Queensland, Australia.ORCID 0000-0002-7783-5466
Laercio R Porto-NetoCSIRO Agriculture and Food, Queensland Bioscience Precinct, Brisbane, Queensland, Australia.ORCID 0000-0002-3536-8265
Milton G ThomasColorado State University, Department of Animal Science, Fort-Colins, Colorado, United States of America.
Angela CánovasUniversity of Guelph, Department of Animal Biosciences, Centre for Genetic Improvement of Livestock, Guelph, Ontario, Canada.ORCID 0000-0002-0036-0757
University of Guelph · CACommonwealth Scientific and Industrial Research Organisation · AUThe University of Queensland · AUUniversidade Federal de Minas Gerais · BRColorado State University · USUniversitat Autònoma de Barcelona · ESUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of biological processes related to the regulation of complex traits is a difficult task. Commonly, complex traits are regulated through a multitude of genes contributing each to a small part of the total genetic variance. Additionally, some loci can simultaneously regulate several complex traits, a phenomenon defined as pleiotropy. The lack of understanding on the biological processes responsible for the regulation of these traits results in the decrease of selection efficiency and the selection of undesirable hitchhiking effects. The identification of pleiotropic key-regulator genes can assist in developing important tools for investigating biological processes underlying complex traits. A multi-breed and multi-OMICs approach was applied to study the pleiotropic effects of key-regulator genes using three independent beef cattle populations evaluated for fertility traits. A pleiotropic map for 32 traits related to growth, feed efficiency, carcass and meat quality, and reproduction was used to identify genes shared among the different populations and breeds in pleiotropic regions. Furthermore, data-mining analyses were performed using the Cattle QTL database (CattleQTLdb) to identify the QTL category annotated in the regions around the genes shared among breeds. This approach allowed the identification of a main gene network (composed of 38 genes) shared among breeds. This gene network was significantly associated with thyroid activity, among other biological processes, and displayed a high regulatory potential. In addition, it was possible to identify genes with pleiotropic effects related to crucial biological processes that regulate economically relevant traits associated with fertility, production and health, such as MYC, PPARG, GSK3B, TG and IYD genes. These genes will be further investigated to better understand the biological processes involved in the expression of complex traits and assist in the identification of functional variants associated with undesirable phenotypes, such as decreased fertility, poor feed efficiency and negative energetic balance.

Indexed as

Gene Expression RegulationGenetic PleiotropyQuantitative Trait, HeritableQuantitative Trait LociAnimalsBreedingCattleDatabases, GeneticData MiningFemaleFertilityGene OntologyGene Regulatory NetworksGlycogen Synthase Kinase 3 betaMaleMeatGlycogen Synthase Kinase 3 betaMicrofilament ProteinsMuscle ProteinsPPAR gammaProto-Oncogene Proteins c-myctransgelin

Identifiers

PMID30335783
PMCPMC6193631
OpenAlexW2896982389

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.