Evidence map›Paper›PMID 29520708›Full record

ArticleJournal of applied genetics2018

Association study between copy number variation and beef fatty acid profile of Nellore cattle.

Marcos Vinicius Antunes de Lemos, Elisa Peripolli, Mariana Piatto Berton, Fabiele Loise Braga Feitosa, Bianca Ferreira Olivieri, Nedenia Bonvino Stafuzza, Rafael Lara Tonussi, Sabrina Kluska, Hermenegildo Lucas Justino Chiaia, Lenise Mueller and 5 more

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In one paragraph

Article in Journal of applied genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 34 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

15 authors at 2 institutions in 1 country.

Marcos Vinicius Antunes de LemosFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil. marcoslemoszootec@gmail.com.
Elisa PeripolliFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Mariana Piatto BertonFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Fabiele Loise Braga FeitosaFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Bianca Ferreira OlivieriFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Nedenia Bonvino StafuzzaFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Rafael Lara TonussiFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Sabrina KluskaFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Hermenegildo Lucas Justino ChiaiaFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Lenise MuellerFaculdade de Medicina Veterinária e Zootecnia, USP, Pirassununga, SP, 13635-900, Brazil.
Adrielli Mathias FerrinhoFaculdade de Medicina Veterinária e Zootecnia, USP, Pirassununga, SP, 13635-900, Brazil.
Angelica Simone Cravo PrereiraFaculdade de Medicina Veterinária e Zootecnia, USP, Pirassununga, SP, 13635-900, Brazil.
Henrique Nunes de OliveiraFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Lucia Galvão de AlbuquerqueFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Fernando BaldiFaculdade de Ciências Agrárias e Veterinárias, UNESP, Jaboticabal, SP, 14884-000, Brazil.
Universidade Estadual Paulista (Unesp) · BRFundação de Estudo e Pesquisa em Medicina Veterinária e Zootecnia · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2011/2141-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/11853-4Fundação de Amparo à Pesquisa do Estado de São Paulo (BR) 2009/16118-5
6 · The paper itself

Abstract

The aim of this study was to analyze the association between the copy number variation regions (CNVRs) and fatty acid profile phenotypes for saturated (SFA), monosaturated (MUFA), polyunsaturated (PUFA), ω6 and ω3 fatty acids, PUFA/SFA and ω6/ω3 ratios, as well as for their sums, in Nellore cattle (Bos primigenius indicus). A total of 963 males were finished in feedlot and slaughtered with approximately 2 years of age. Animals were genotyped with the BovineHD BeadChip (Illumina Inc., San Diego, CA, USA). The copy number variation (CNV) detection was performed using the PennCNV algorithm. Log R ratio (LRR) and allele B frequency (BAF) were used to estimate the CNVs. The association analyses were done using the CNVRuler software and applying a logistic regression model. The phenotype was adjusted using a linear model considering the fixed effects of contemporary group and the animal age at slaughter. The fatty acid profile was analyzed on samples of longissimus thoracis muscle using gas chromatography with a 100-m capillary column. For the association analysis, the adjusted phenotypic values were considered for the traits, while the data was adjusted for the effects of the farm and year of birth, management groups at birth, weaning, and superannuation. A total of 186 CNVRs were significant for SFA (43), MUFA (42), PUFA (66), and omega fatty acid (35) groups, totaling 278 known genes. On the basis of the results, several genes were associated with several fatty acids of different saturations. Olfactory receptor genes were associated with C12:0, C14:0, and C18:0 fatty acids. The SAMD8 and BSCL2 genes, both related to lipid metabolic process, were associated with C12:0. The RAPGEF6 gene was found to be associated with C18:2 cis-9 cis-12 n-6, and its function is related to regulation of GTPase activity. Among the results, we highlighted the olfactory receptor activity (GO:0004984), G-protein-coupled receptor activity (GO:0004930), potassium:proton antiporter activity (GO:0015386), sodium:proton antiporter activity (GO:0015385), and odorant-binding (GO:0005549) molecular functions. A large number of genes associated with fatty acid profile within the CNVRs were identified in this study. These findings must contribute to better elucidate the genetic mechanism underlying the fatty acid profile of intramuscular fat in Nellore cattle.

Indexed as

DNA Copy Number VariationsRed MeatAnimalsCattleFatty AcidsGene FrequencyGenotypeMaleMuscle, SkeletalOligonucleotide Array Sequence AnalysisPhenotypePolymorphism, Single NucleotideFatty AcidsBos indicusCopy number variationFatty acidsGenomic selectionNelloreStructural variation

Identifiers

PMID29520708
OpenAlexW2793980553

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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.