Exploring the genetic architecture of feed efficiency traits in chickens

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...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6929958b7c4747849f3acba81aa9d240
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spelling	oai:doaj.org-article:6929958b7c4747849f3acba81aa9d2402021-12-02T13:19:29ZExploring the genetic architecture of feed efficiency traits in chickens10.1038/s41598-021-84125-92045-2322https://doaj.org/article/6929958b7c4747849f3acba81aa9d2402021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84125-9https://doaj.org/toc/2045-2322Abstract 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.Jorge Augusto Petroli MarchesiRafael Keith OnoMaurício Egídio CantãoAdriana Mércia Guaratini IbelliJane de Oliveira PeixotoGabriel Costa Monteiro MoreiraThaís Fernanda GodoyLuiz Lehmann CoutinhoDanísio Prado MunariMônica Corrêa LedurNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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 Exploring the genetic architecture of feed efficiency traits in chickens
description	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.
format	article
author	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
author_facet	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
author_sort	Jorge Augusto Petroli Marchesi
title	Exploring the genetic architecture of feed efficiency traits in chickens
title_short	Exploring the genetic architecture of feed efficiency traits in chickens
title_full	Exploring the genetic architecture of feed efficiency traits in chickens
title_fullStr	Exploring the genetic architecture of feed efficiency traits in chickens
title_full_unstemmed	Exploring the genetic architecture of feed efficiency traits in chickens
title_sort	exploring the genetic architecture of feed efficiency traits in chickens
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6929958b7c4747849f3acba81aa9d240
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Exploring the genetic architecture of feed efficiency traits in chickens

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