Evidence map›Paper›PMID 38212678›Full record

ArticleBMC genomics2024

Genome-wide association study between copy number variation and feeding behavior, feed efficiency, and growth traits in Nellore cattle.

Lorena F Benfica, Luiz F Brito, Ricardo D do Bem, Henrique A Mulim, Joseph Glessner, Larissa G Braga, Leonardo S Gloria, Joslaine N S G Cyrillo, Sarah F M Bonilha, Maria E Z Mercadante

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.6field-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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
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  4. Selection signatures detection in Nelore, Gir, and Red Sindhi cattle breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 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

10 authors at 4 institutions in 2 countries.

Lorena F BenficaDepartment of Animal Sciences, Purdue University, 270 S. Russell Street, West Lafayette, IN, 47907, USA. lorenafbenfica@gmail.com.
Luiz F BritoDepartment of Animal Sciences, Purdue University, 270 S. Russell Street, West Lafayette, IN, 47907, USA.
Ricardo D do BemDepartment of Animal Science, Faculty of Agricultural and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.
Henrique A MulimDepartment of Animal Sciences, Purdue University, 270 S. Russell Street, West Lafayette, IN, 47907, USA.
Joseph GlessnerPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Larissa G BragaDepartment of Animal Science, Faculty of Agricultural and Veterinary Sciences, Sao Paulo State University, Jaboticabal, SP, Brazil.
Leonardo S GloriaDepartment of Animal Sciences, Purdue University, 270 S. Russell Street, West Lafayette, IN, 47907, USA.
Joslaine N S G CyrilloInstitute of Animal Science, Sertaozinho, SP, Brazil.
Sarah F M BonilhaInstitute of Animal Science, Sertaozinho, SP, Brazil.
Maria E Z MercadanteInstitute of Animal Science, Sertaozinho, SP, Brazil. mezmercadante@gmail.com.
Institute of Animal Science and Pastures · BRPurdue University West Lafayette · USUniversidade Estadual Paulista (Unesp) · BRChildren's Hospital of Philadelphia · US

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001
6 · The paper itself

Abstract

backgroundFeeding costs represent the largest expenditures in beef production. Therefore, the animal efficiency in converting feed in high-quality protein for human consumption plays a major role in the environmental impact of the beef industry and in the beef producers' profitability. In this context, breeding animals for improved feed efficiency through genomic selection has been considered as a strategic practice in modern breeding programs around the world. Copy number variation (CNV) is a less-studied source of genetic variation that can contribute to phenotypic variability in complex traits. In this context, this study aimed to: (1) identify CNV and CNV regions (CNVRs) in the genome of Nellore cattle (Bos taurus indicus); (2) assess potential associations between the identified CNVR and weaning weight (W210), body weight measured at the time of selection (WSel), average daily gain (ADG), dry matter intake (DMI), residual feed intake (RFI), time spent at the feed bunk (TF), and frequency of visits to the feed bunk (FF); and, (3) perform functional enrichment analyses of the significant CNVR identified for each of the traits evaluated.

resultsA total of 3,161 CNVs and 561 CNVRs ranging from 4,973 bp to 3,215,394 bp were identified. The CNVRs covered up to 99,221,894 bp (3.99%) of the Nellore autosomal genome. Seventeen CNVR were significantly associated with dry matter intake and feeding frequency (number of daily visits to the feed bunk). The functional annotation of the associated CNVRs revealed important candidate genes related to metabolism that may be associated with the phenotypic expression of the evaluated traits. Furthermore, Gene Ontology (GO) analyses revealed 19 enrichment processes associated with FF.

conclusionsA total of 3,161 CNVs and 561 CNVRs were identified and characterized in a Nellore cattle population. Various CNVRs were significantly associated with DMI and FF, indicating that CNVs play an important role in key biological pathways and in the phenotypic expression of feeding behavior and growth traits in Nellore cattle.

Indexed as

DNA Copy Number VariationsGenome-Wide Association StudyAnimal FeedAnimalsCattleEatingFeeding BehaviorHumansPhenotypeBos indicusBovine genomeSNP panelStructural variants

Identifiers

PMID38212678
PMCPMC10785391
OpenAlexW4390755772

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.