A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens

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Monteiro Moreira, Gabriel Costa ^[1] ; Boschiero, Clarissa ^[1] ; Mello Cesar, Aline Silva ^[1] ; Reecy, James M. ^[2] ; Godoy, Thais Fernanda ^[1] ; Trevisoli, Priscila Anchieta ^[1] ; Cantao, Mauricio E. ^[3] ; Ledur, Monica Correa ^[3] ; Guaratini Ibelli, Adriana Mercia ^[3] ; Peixoto, Jane de Oliveira ^[3] ; Meira Tavares Moura, Ana Silvia Alves ^[4] ; Garrick, Dorian ^[5] ; Coutinho, Luiz Lehmann ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Anim Sci, Luiz de Queiroz Coll Agr ESALQ, BR-13418900 Piracicaba, SP - Brazil

^[2] Iowa State Univ, Dept Anim Sci, Ames, IA - USA

^[3] Embrapa Suinos & Ayes, Concordia, SC - Brazil

^[4] Sao Paulo State Univ, FMVZ, Botucatu, SP - Brazil

^[5] Massey Univ, Sch Agr, Hamilton - New Zealand

• Tipo de documento: Artigo Científico
• Fonte: BMC Genomics; v. 19, MAY 21 2018.
• Citações Web of Science: 6

Resumo

Background: Excess fat content in chickens has a negative impact on poultry production. The discovery of QTL associated with fat deposition in the carcass allows the identification of positional candidate genes (PCGs) that might regulate fat deposition and be useful for selection against excess fat content in chicken's carcass. This study aimed to estimate genomic heritability coefficients and to identify QTLs and PCGs for abdominal fat (ABF) and skin (SKIN) traits in a broiler chicken population, originated from the White Plymouth Rock and White Cornish breeds. Results: ABF and SKIN are moderately heritable traits in our broiler population with estimates ranging from 0.23 to 0.33. Using a high density SNP panel (355,027 informative SNPs), we detected nine unique QTLs that were associated with these fat traits. Among these, four QTL were novel, while five have been previously reported in the literature. Thirteen PCGs were identified that might regulate fat deposition in these QTL regions: JDP2, PLCG1, HNF4A, FITM2, ADIPOR1, PTPN11, MVK, APOA1, APOA4, APOA5, ENSGALG00000000477, ENSGALG00000000483, and ENSGALG00000005043. We used sequence information from founder animals to detect 4843 SNPs in the 13 PCGs. Among those, two were classified as potentially deleterious and two as high impact SNPs. Conclusions: This study generated novel results that can contribute to a better understanding of fat deposition in chickens. The use of high density array of SNPs increases genome coverage and improves QTL resolution than would have been achieved with low density. The identified PCGs were involved in many biological processes that regulate lipid storage. The SNPs identified in the PCGs, especially those predicted as potentially deleterious and high impact, may affect fat deposition. Validation should be undertaken before using these SNPs for selection against carcass fat accumulation and to improve feed efficiency in broiler chicken production. (AU)

• Processo FAPESP: 14/21380-9 - Estudo de associação ampla do genoma para deposição de gordura e rendimento de carcaça em galinhas
• Beneficiário: Gabriel Costa Monteiro Moreira
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 15/00616-7 - Identificação e caracterização de CNVs no genoma da galinha e associação com desenvolvimento de músculo de peito
• Beneficiário: Thaís Fernanda Godoy
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 16/00569-1 - Imputação e associação genômica ampla utilizando haplótipos para gordura abdominal em galinhas.
• Beneficiário: Gabriel Costa Monteiro Moreira
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
• Processo FAPESP: 14/08704-0 - Identificação de locos de interesse zootécnico na galinha doméstica
• Beneficiário: Luiz Lehmann Coutinho
• Modalidade de apoio: Auxílio à Pesquisa - Temático