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| Registros recuperados : 16 | |
| 3. |  | MOREIRA, G. C. M.; PÉRTILLE, F.; GODOY, T. F.; BRASSOLOTI, R.; BOSCHIERO, C.; LEDUR, M. C.; COUTINHO, L. L. Discovery of candidate genes for fatness in chickens based on genotyping with 600K SNP chip in a QTL region. In: CONGRESSO BRASILEIRO DE GENÉTICA, 60., 2014, Guarujá. Resumos? Ribeirão Preto: Sociedade Brasileira de Genética, 2014. p. 64| Biblioteca(s): Embrapa Suínos e Aves. |
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| 4. | | PÉRTILLE, F.; ZANELLA, R.; FELÍCIO, A. M.; LEDUR, M. C.; PEIXOTO, J. de O.; COUTINHO, L. L. Identification of polymorphisms associated with production traits on chicken (Gallus gallus) chromosome 4. Genetics and Molecular Research, v. 14, n. 3, p. 10717-10728, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 5. | | PÉRTILLE, F.; BOSAGNA, C. G.; SILVA, V. H. da; BOSCHIERO, C.; NUNES, J. de R. da S.; LEDUR, M. C.; JENSEN, P.; COUTINHO, L. L. High-throughput and cost-effective chicken genotyping using next-generation sequencing. Scientific Reports, v. 6, n. 26929, 2016.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 6. | | SILVA, V. H. da; REGITANO, L. C. de A.; GEISTLINGER, L.; PÉRTILLE, F.; GIACHETTO, P. F.; BRASSALOTI, R. A.; MOROSINI, N. S.; ZIMMER, R.; COUTINHO, L. L. Genome-wide detection of CNVs and their association with meat tenderness in Nelore cattle. Plos One, june 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 7. | | PÉRTILLE, F.; TESSMANN, A. L.; COUTINHO, L. L.; AVILA, V. S. de; PEIXOTO, J. de O.; COLDEBELLA, A.; LEDUR, M. C. Investigation of the LEPR1 A>G polymorphism in the leptin receptor gene in a commercial broiler population. In: CONGRESSO BRASILEIRO DE GENÉTICA, 57., 2011, Águas de Lindóia. Resumos. Águas de Lindóia: SBG, 2011. p.103. Projeto/Plano de Ação: 01.06.10602-03.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 8. | | PÉRTILLE, F.; IBELLI, A. M. G.; SHARIF, M. E.; POLETI, M. D.; FRÖHLICH, A. S.; REZAEI, S.; LEDUR, M. C.; JENSEN, P.; GUERRERO-BOSAGNA, C.; COUTINHO. L. L. Putative epigenetic biomarkers of stress in red blood cells of chickens reared across different biomes. Frontiers in Genetics, 20 Nov 2020.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 9. | | PÉRTILLE, F.; FELÍCIO, A. M.; ROSÁRIO, M. F. do; SILVA, V. H.; MANGUETTI, T.; SILVA, N. A.; LEDUR, M. C.; COUTINHO, L. L. PPARGC1A indel polymorphism is associated with performance and carcass traits in chickens. In: CONGRESSO BRASILEIRO DE GENÉTICA, 58., 2012, Foz do Iguaçu. Resumos... Foz do Iguaçú: SBG, 2012. p. 72| Biblioteca(s): Embrapa Suínos e Aves. |
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| 10. | | ZANELLA, R.; LAGO, L. V.; SILVA, A. N. da; PÉRTILLE, F.; CARVALHO, N. S. de; PANETTO, J. C. do C.; ZANELLA, G. C.; FACIOLI, F. L.; SILVA, M. V. G. B. Genetic characterization of Indubrasil cattle breed population. Veterinary Sciences, v. 5, n. 4, 2018. 10 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 11. | | PERTILLE, F.; MOREIRA, G. C. M. M.; ZANELLA, R.; NUNES, J. de R. da S.; BOSCHIERO, C.; ROVADOSCKI, G. A.; MOURÃO, G. B.; LEDUR, M. C.; COUTINHO, L. L. Genome-wide association study for performance traits in chickens using genotype by sequencing approach. Scientific Reports, v. 7, n. 41748, 2017.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 12. | | DAL PIZZOL, M. S.; IBELLI, A. M. G.; MORÉS, N.; MORES, M. A. Z.; PEIXOTO, J. de O.; SAVOLDI, I. R.; PERTILLE, F.; MARIANI, P. D. S. C.; COUTINHO, L. L.; LEDUR, M. C. Perfil de metilação diferencial no cromossomo 6 de suínos normais e afetados com osteocondrose latens. In: JORNADA DE INICIAÇÃO CIENTÍFICA, 13., 2019, Concórdia. Anais... Concórdia: Embrapa Suínos e Aves: UNC, 2019. p. 36-37. JINC 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 13. | | DAL PIZZOL, M. S.; IBELLI, A. M. G.; SALMÓRIA, L. A.; MORES, M. A. Z.; PEIXOTO, J. de O.; SAVOLDI, I. R.; PERTILLE, F.; MARIANI, P. D. S. C.; COUTINHO, L. L.; LEDUR, M. C. Perfil de metilação diferencial em suínos normais e afetados com osteocondrose latens. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL ON-LINE, 14., 2021. Anais... Chapecó: UDESC: Concórdia: Embrapa Suínos e Aves, 2022.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 14. | | MOREIRA, G. C. M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; PÉRTILLE, F.; LEDUR, M. C.; MOURA, A. S. A. M. T. M.; GARRICK, D. J.; COUTINHO, L. L. Integration of genome wide association studies and whole genome sequencing provides novel insights into fat deposition in chicken. Scientific Reports, v. 8, n. 16222, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 15. | | POLETI, M. D.; REGITANO, L. C. de A.; SOUZA, G. H. M. F.; CESAR, A. S. M.; SIMAS, R. C.; VIGNATTO, B. S.; MONTENEGRO, H.; PÉRTILLE, F.; BALIEIRO, J. C. C.; CAMERON, L. C.; ELER, J. P.; COUTINHO, L. L. Proteome alterations associated with the oleic acid and cis-9, trans-11 conjugated linoleic acid content in bovine skeletal muscle. Journal of Proteomics, v. 222, p. 1-14, e103792, jun. 2020.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 16. | | MOREIRA, G. C. M.; POLETI, M. D.; PÉRTILLE, F.; BOSCHIERO, C.; CESAR, A. S. M.; GODOY, T. F.; LEDUR, M. C.; REECY, J. M.; GARRICK, D. J.; COUTINHO, L. L. Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach. BMC Genetics, v. 20, n. 83, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 16 | |
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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: |
28/11/2019 |
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Data da última atualização: |
06/12/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MOREIRA, G. C. M.; POLETI, M. D.; PÉRTILLE, F.; BOSCHIERO, C.; CESAR, A. S. M.; GODOY, T. F.; LEDUR, M. C.; REECY, J. M.; GARRICK, D. J.; COUTINHO, L. L. |
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Afiliação: |
GABRIEL COSTA MONTEIRO MOREIRA, USP; USP; USP; CLARISSA BOSCHIERO, USP; ALINE SILVA MELLO CESAR, USP; THAIS FERNANDA GODOY, USP; MONICA CORREA LEDUR, CNPSA; JAMES M. REECY, USP; DORIAN J. GARRICK, USP; LUIZ LEHMANN COUTINHO, USP. |
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Título: |
Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
BMC Genetics, v. 20, n. 83, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development, growth, energy metabolism and lipid metabolism, which may be associated with body weight in chickens. Conclusions: The use of a high-density SNP array to identify QTL which were integrated with whole genome sequence signatures of selection allowed the identification of candidate genes and candidate causal variants. One novel QTL was detected providing additional information to understand the genetic architecture of body weight traits. We identified QTL for body weight traits, which were also associated with fatness in the same population. Our findings form a basis for further functional studies to elucidate the role of specific genes in regulating body weight and fat deposition in chickens, generating useful information for poultry breeding programs. MenosAbstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development... Mostrar Tudo |
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Palavras-Chave: |
Características de desempenho; Genomic heritability; Genotypic data; GWAS; Herdabilidade genômica; Performance traits. |
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Thesagro: |
Frango de Corte; Genoma; Seleção Genótipa. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03240naa a2200337 a 4500
001 2115438
005 2019-12-06
008 2019 bl uuuu u00u1 u #d
100 1 $aMOREIRA, G. C. M.
245 $aUnraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach.$h[electronic resource]
260 $c2019
520 $aAbstract Background: Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. Results: Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1?4, 6?7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development, growth, energy metabolism and lipid metabolism, which may be associated with body weight in chickens. Conclusions: The use of a high-density SNP array to identify QTL which were integrated with whole genome sequence signatures of selection allowed the identification of candidate genes and candidate causal variants. One novel QTL was detected providing additional information to understand the genetic architecture of body weight traits. We identified QTL for body weight traits, which were also associated with fatness in the same population. Our findings form a basis for further functional studies to elucidate the role of specific genes in regulating body weight and fat deposition in chickens, generating useful information for poultry breeding programs.
650 $aFrango de Corte
650 $aGenoma
650 $aSeleção Genótipa
653 $aCaracterísticas de desempenho
653 $aGenomic heritability
653 $aGenotypic data
653 $aGWAS
653 $aHerdabilidade genômica
653 $aPerformance traits
700 1 $aPOLETI, M. D.
700 1 $aPÉRTILLE, F.
700 1 $aBOSCHIERO, C.
700 1 $aCESAR, A. S. M.
700 1 $aGODOY, T. F.
700 1 $aLEDUR, M. C.
700 1 $aREECY, J. M.
700 1 $aGARRICK, D. J.
700 1 $aCOUTINHO, L. L.
773 $tBMC Genetics$gv. 20, n. 83, 2019.
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