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Exploring the genetic architecture of feed efficiency traits in chickens

dc.contributor.authorPetroli Marchesi, Jorge Augusto [UNESP]
dc.contributor.authorOno, Rafael Keith
dc.contributor.authorCantao, Mauricio Egidio
dc.contributor.authorGuaratini Ibelli, Adriana Mercia
dc.contributor.authorPeixoto, Jane de Oliveira
dc.contributor.authorMonteiro Moreira, Gabriel Costa
dc.contributor.authorGodoy, Thais Fernanda
dc.contributor.authorCoutinho, Luiz Lehmann
dc.contributor.authorMunari, Danisio Prado [UNESP]
dc.contributor.authorLedur, Monica Correa
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionPamplona Alimentos SA
dc.date.accessioned2021-06-26T03:35:36Z
dc.date.available2021-06-26T03:35:36Z
dc.date.issued2021-02-25
dc.description.abstractChicken 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.en
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationEmbrapa Suinos & Aves, BR-89715899 Concordia, SC, Brazil
dc.description.affiliationUniv Sao Paulo, Dept Zootecnia, Escola Super Agr Luiz de Queiroz, Av Padua Dias 11, BR-13419900 Piracicaba, SP, Brazil
dc.description.affiliationUniv Sao Paulo, Dept Genet, BR-14049900 Ribeirao Preto, SP, Brazil
dc.description.affiliationPamplona Alimentos SA, BR-89164900 Rio Do Sul, SC, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, BR-14884900 Jaboticabal, SP, Brazil
dc.description.sponsorshipBrazilian Agricultural Research Corporation-Embrapa
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdBrazilian Agricultural Research Corporation-Embrapa: 01.11.07.002.04.02
dc.description.sponsorshipIdFAPESP: 2014/08704-0
dc.description.sponsorshipIdCNPq: 481755/2007-1
dc.format.extent12
dc.identifierhttp://dx.doi.org/10.1038/s41598-021-84125-9
dc.identifier.citationScientific Reports. Berlin: Nature Research, v. 11, n. 1, 12 p., 2021.
dc.identifier.doi10.1038/s41598-021-84125-9
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/11449/210717
dc.identifier.wosWOS:000626620700063
dc.language.isoeng
dc.publisherNature Research
dc.relation.ispartofScientific Reports
dc.sourceWeb of Science
dc.titleExploring the genetic architecture of feed efficiency traits in chickensen
dc.typeArtigo
dcterms.rightsHolderNature Research
dspace.entity.typePublication
unesp.departmentCiências Exatas - FCAVpt

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