Evidence map›Paper›PMID 41593773›Full record

ArticleJournal of animal science and biotechnology2026

Sequence-based genome-wide association study reveals genetic and metabolic mechanisms underlying feed efficiency-related traits in beef cattle.

Leonardo M Arikawa, Lucio F M Mota, Larissa F S Fonseca, Gerardo A Fernandes Júnior, Bruna M Salatta, Gabriela B Frezarim, Patricia I Schmidt, Sindy L C Nasner, Julia P S Valente, Amalia M Pelaez and 4 more

Abstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

14 authors.

Leonardo M ArikawaSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil. leeoarikawa@gmail.com.
Lucio F M MotaSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Larissa F S FonsecaSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Gerardo A Fernandes JúniorSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Bruna M SalattaSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Gabriela B FrezarimSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Patricia I SchmidtSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Sindy L C NasnerSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Julia P S ValenteSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Amalia M PelaezCia de Melhoramento, PRO - Produção Profissional, São José Do Rio Preto, SP, 15061-580, Brazil.
Roberta C CanesinBeef Cattle Research Center, Institute of Animal Science, Sertãozinho, SP, 14174-000, Brazil.
Josineudson A Ii V SilvaNational Council for Science and Technological Development, Brasilia, DF, 71605-001, Brazil.
Maria Eugênia Z MercadanteSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil.
Lucia G AlbuquerqueSão Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, Jaboticabal, SP, 14884-900, Brazil. galvao.albuquerque@unesp.br.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/20026-8Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/17818-8
6 · The paper itself

Abstract

backgroundEfficiency is characterized by maximum productivity with lower inputs and minimal waste, resulting in greater output with the same or even fewer resources. In livestock, more efficient animals in converting food into protein may improve the economic efficiency of production systems, as feed costs represent a significant expense in beef production. Thus, the present study aimed to use imputed whole-genome sequencing (WGS) data to perform a genome-wide association study (GWAS) in order to identify genomic regions and potential candidate genes involved in the biological processes and metabolic pathways associated with feed efficiency-related traits (RFI: residual feed intake, DMI: dry matter intake, FE: feed efficiency, FC: feed conversion, and RWG: residual weight gain) in Nellore cattle.

resultsThe GWAS identified significant SNPs associated with feed efficiency traits in Nellore cattle. A total of 42 SNPs were detected for RFI, 10 for DMI, 99 for FC, 15 for FE, and 3 for RWG, distributed in different autosomes. Annotation analysis identified several candidate genes, and the prioritization highlighted 21, 9, 68, 23, and 8 key genes for RFI, DMI, FC, FE, and RWG, respectively. The prioritized candidate genes are involved in muscle development, lipid metabolism, response to oxidative stress, nutrient metabolism, neurotransmission, and oxidative phosphorylation. Additionally, enrichment analysis indicated that these genes act in several signaling pathways related to signal transduction, the nervous system, the endocrine system, energy metabolism, the digestive system, and nutrient metabolism.

conclusionThe use of imputed WGS data in GWAS analyses enabled the broad identification of regions and candidate genes throughout the genome that regulate expression of feed efficiency-related traits in Nellore cattle. Our results provide new perspectives into the molecular mechanisms underlying feed efficiency in Nellore cattle, offering a genetic basis to guide the breeding of efficient animals, thereby optimizing resource utilization and the profitability of production systems.

Indexed as

Bos indicusEnergy metabolismImputed WGSMuscle developmentOxidative phosphorylationResidual feed intake

Identifiers

PMID41593773
PMCPMC12837112

What Socratic holds

Textmetadata
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 Socratic graph.