Evidence map›Paper›PMID 25257854›Full record

ArticleBMC genetics2014

Identification of genomic regions associated with feed efficiency in Nelore cattle.

Priscila S N de Oliveira, Aline S M Cesar, Michele L do Nascimento, Amália S Chaves, Polyana C Tizioto, Rymer R Tullio, Dante P D Lanna, Antonio N Rosa, Tad S Sonstegard, Gerson B Mourao and 5 more

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Genetic Relationships Between Residual Gain and Economically Important Traits in Nellore Cattle.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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  10. Bivariate GWAS reveals pleiotropic regions among feed efficiency and beef quality-related traits in Nelore cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
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  13. EEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Article
  14. Prune homolog 2 with BCH domain (PRUNE2) gene expression is associated with feed efficiency-related traits in Nelore steers.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
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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

15 authors at 6 institutions in 2 countries.

Priscila S N de Oliveira
Aline S M Cesar
Michele L do Nascimento
Amália S Chaves
Polyana C Tizioto
Rymer R Tullio
Dante P D Lanna
Antonio N Rosa
Tad S Sonstegard
Gerson B Mourao
James M Reecy
Dorian J Garrick
Maurício A Mudadu
Luiz L Coutinho
Luciana C A RegitanoEmbrapa Southeast-Cattle Research Center, Sao Carlos, 13560-970, SP, Brazil. luciana.regitano@embrapa.br.
Brazilian Agricultural Research Corporation · BRMethodist University of Piracicaba · BRUniversidade de São Paulo · BRIowa State University · USUniversidade Federal de São Carlos · BRAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFeed efficiency is jointly determined by productivity and feed requirements, both of which are economically relevant traits in beef cattle production systems. The objective of this study was to identify genes/QTLs associated with components of feed efficiency in Nelore cattle using Illumina BovineHD BeadChip (770 k SNP) genotypes from 593 Nelore steers. The traits analyzed included: average daily gain (ADG), dry matter intake (DMI), feed-conversion ratio (FCR), feed efficiency (FE), residual feed intake (RFI), maintenance efficiency (ME), efficiency of gain (EG), partial efficiency of growth (PEG) and relative growth rate (RGR). The Bayes B analysis was completed with Gensel software parameterized to fit fewer markers than animals. Genomic windows containing all the SNP loci in each 1 Mb that accounted for more than 1.0% of genetic variance were considered as QTL region. Candidate genes within windows that explained more than 1% of genetic variance were selected by putative function based on DAVID and Gene Ontology.

resultsThirty-six QTL (1-Mb SNP window) were identified on chromosomes 1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 18, 19, 20, 21, 22, 24, 25 and 26 (UMD 3.1). The amount of genetic variance explained by individual QTL windows for feed efficiency traits ranged from 0.5% to 9.07%. Some of these QTL minimally overlapped with previously reported feed efficiency QTL for Bos taurus. The QTL regions described in this study harbor genes with biological functions related to metabolic processes, lipid and protein metabolism, generation of energy and growth. Among the positional candidate genes selected for feed efficiency are: HRH4, ALDH7A1, APOA2, LIN7C, CXADR, ADAM12 and MAP7.

conclusionsSome genomic regions and some positional candidate genes reported in this study have not been previously reported for feed efficiency traits in Bos indicus. Comparison with published results indicates that different QTLs and genes may be involved in the control of feed efficiency traits in this Nelore cattle population, as compared to Bos taurus cattle.

Indexed as

Polymorphism, Single NucleotideQuantitative Trait LociAnimal FeedAnimalsBayes TheoremCattleEatingGenetic Association StudiesGenotypeMalePhenotypeWeight Gain

Identifiers

PMID25257854
PMCPMC4198703
OpenAlexW2002841479

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.