Evidence map›Paper›PMID 33633287›Full record

ArticleScientific reports2021

Exploring the genetic architecture of feed efficiency traits in chickens.

Jorge Augusto Petroli Marchesi, Rafael Keith Ono, Maurício Egídio Cantão, Adriana Mércia Guaratini Ibelli, Jane de Oliveira Peixoto, Gabriel Costa Monteiro Moreira, Thaís Fernanda Godoy, Luiz Lehmann Coutinho, Danísio Prado Munari, Mônica Corrêa Ledur

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
4.9field-weighted citation impact, top 4% 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, 44 citations in OpenAlex.

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  12. MiRNAs in Poultry Health and Production: Progress and Challenges.Animals : an open access journal from MDPI · 2025
    Review
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  17. Animals : an open access journal from MDPI · 2024
    Article
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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.

Jorge Augusto Petroli MarchesiFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, SP, 14884-900, Brazil.
Rafael Keith OnoEmbrapa Suínos e Aves, Concórdia, SC, 89715-899, Brazil.
Maurício Egídio CantãoEmbrapa Suínos e Aves, Concórdia, SC, 89715-899, Brazil.
Adriana Mércia Guaratini IbelliEmbrapa Suínos e Aves, Concórdia, SC, 89715-899, Brazil.
Jane de Oliveira PeixotoEmbrapa Suínos e Aves, Concórdia, SC, 89715-899, Brazil.
Gabriel Costa Monteiro MoreiraDepartamento de Zootecnia, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Av. Pádua Dias 11, Piracicaba, SP, 13419-900, Brazil.
Thaís Fernanda GodoyDepartamento de Zootecnia, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Av. Pádua Dias 11, Piracicaba, SP, 13419-900, Brazil.
Luiz Lehmann CoutinhoDepartamento de Zootecnia, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Av. Pádua Dias 11, Piracicaba, SP, 13419-900, Brazil.
Danísio Prado MunariFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, SP, 14884-900, Brazil.
Mônica Corrêa LedurEmbrapa Suínos e Aves, Concórdia, SC, 89715-899, Brazil. monica.ledur@embrapa.br.
Concordia University Wisconsin · USSecretaria de Agricultura e Abastecimento · BRUniversidade Estadual Paulista (Unesp) · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chicken feed efficiency (FE) traits are the most important economic traits in broiler production. Several studies evaluating genetic factors affecting food consumption in chickens are available. However, most of these studies identified genomic regions containing putative quantitative trait loci for each trait separately. It is still a challenge to find common gene networks related to these traits. Therefore, here, a genome-wide association study (GWAS) was conducted to explore candidate genomic regions responsible for Feed Intake (FI), Body Weight Gain (BWG) and Feed Conversion Ratio (FCR) traits and their gene networks. A total of 1430 broilers from an experimental population was genotyped with the high density Affymetrix 600K SNP array. A total of 119 associated SNPs located in 20 chromosomes were identified, where some of them were common in more than one FE trait. In addition, novel genomic regions were prospected considering the SNPs dominance effects and sex interaction, identifying putative candidate genes only when these effects were fit in the model. Relevant candidate genes such as ATRNL1, PIK3C2A, PTPRN2, SORCS3 and gga-mir-1759 were highlighted in this study helping to elucidate the genomic architecture of feed efficiency traits. These results provide new insights on the mechanisms underlying the consumption and utilization of food in chickens.

Indexed as

Feeding BehaviorAnimalsChickensGenome-Wide Association StudyWeight Gain

Identifiers

PMID33633287
PMCPMC7907133
OpenAlexW3129298254

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.