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| Registros recuperados : 5 | |
| 1. |  | BOSCHIERO, C.; NONES, K.; ROSÁRIO, M. F.; LEDUR, M. C.; COUTINHO, L. L.; MOURA, A. S. M. T. Análise de meio-irmãos para o mapeamento fino de uma região associada a QTLs no cromosso 1 da galinha. In: CONGRESSO BRASILEIRO DE GENÉTICA, 54., 2008, Salvador. Anais. Salvador: SBG, 2008 p. 241. Projeto/Plano de Ação: 01.02.10.210-10.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 3. | | AMBO, M.; CAMPOS, R. de L. R.; MOURA, A. S. M. T.; BOSCHIERO, C.; ROSÁRIO, M. F. do; LEDUR, M. C.; NONES, K.; COUTINHO, L. L. Genetic linkage maps of chicken chromosomes 6, 7, 8, 11 and 13 from a brazilian resource population. Scientia Agrícola, v.65, n.5, p.447-452, 2008. Projeto/Plano de Ação: 01.02.102.10-10.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 4. | | MOREIRA, G. C. M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; TREVISOLI, P. A.; CANTAO, M. E.; LEDUR, M. C.; IBELLI, A. M. G.; MOURA, A. S. M. T.; GARRICK, D.; COUTINHO, L. L. A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens. BMC Genomics, v. 19, n. 374, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 5. | | NONES, K.; LEDUR, M. C.; MOURA, A. S. M. T.; BOSCHIERO, C.; PINTO, L. F. B.; RUY, D. C.; BARON, E. E.; CAMPOS, R. L. R.; AMBO, M.; ZANELLA, E. L.; COUTINHO, L. L. Mapeamento de QTL para características de produção e qualidade da carcaça em aves. Concórdia: Embrapa Suínos e Aves, 2009. p. 65-78| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 5 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
19/09/2018 |
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Data da última atualização: |
20/09/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MOREIRA, G. C. M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; TREVISOLI, P. A.; CANTAO, M. E.; LEDUR, M. C.; IBELLI, A. M. G.; MOURA, A. S. M. T.; GARRICK, D.; COUTINHO, L. L. |
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Afiliação: |
GABRIEL COSTA MONTEIRO MOREIRA, ESALQ; CLARISSA BOSCHIERO, ESALQ; ALINE SILVA MELLO CESAR, ESALQ; JAMES M. REECY; THAÍS FERNANDA GODOY, USP/ESALq; PRISCILA ANCHIETA TREVISOLI, USP/ESALq; MAURICIO EGIDIO CANTAO, CNPSA; MONICA CORREA LEDUR, CNPSA; ADRIANA MERCIA GUARATINI IBELLI, CNPSA; ANA SILVIA ALVES MEIRA TAVARES MOURA, USP/ESALq; DORIAN GARRICK, USP/ESALq; LUIZ LEHMMAN COUTINHO, USP/ESALq. |
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Título: |
A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
BMC Genomics, v. 19, n. 374, 2018. |
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DOI: |
10.1186/s12864-018-4779-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract 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. MenosAbstract 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 geno... Mostrar Tudo |
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Thesagro: |
Frango de Corte; Gordura; Hereditariedade; Melhoramento Genético Animal; Peso. |
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Thesaurus NAL: |
Animal genetics; Broiler chickens; Genomics; Heritability; Quantitative genetics; Quantitative trait loci. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03132naa a2200397 a 4500
001 2096061
005 2018-09-20
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1186/s12864-018-4779-6$2DOI
100 1 $aMOREIRA, G. C. M.
245 $aA genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens.$h[electronic resource]
260 $c2018
520 $aAbstract 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.
650 $aAnimal genetics
650 $aBroiler chickens
650 $aGenomics
650 $aHeritability
650 $aQuantitative genetics
650 $aQuantitative trait loci
650 $aFrango de Corte
650 $aGordura
650 $aHereditariedade
650 $aMelhoramento Genético Animal
650 $aPeso
700 1 $aBOSCHIERO, C.
700 1 $aCESAR, A. S. M.
700 1 $aREECY, J. M.
700 1 $aGODOY, T. F.
700 1 $aTREVISOLI, P. A.
700 1 $aCANTAO, M. E.
700 1 $aLEDUR, M. C.
700 1 $aIBELLI, A. M. G.
700 1 $aMOURA, A. S. M. T.
700 1 $aGARRICK, D.
700 1 $aCOUTINHO, L. L.
773 $tBMC Genomics$gv. 19, n. 374, 2018.
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