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| Registros recuperados : 32 | |
| 1. |  | CESAR, A. S. M.; REGITANO, L. C. de A.; LANNA, D. P. D.; POLETI, M. D.; KOLTES, J. E.; REECY, J. M.; FRITZ-WATERS, E.; KRAMER, L.; GARRICK, D.; MUDADU, M. de A.; TULLIO, R. R.; COUTINHO, L. L. Expression quantitative trait loci (eQTL) hotspot regions from whole genome analysis of Nellore steers. In: PLANT AND ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. Anais... San Diego: PAG, 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 2. | | MOREIRA, G. C. M.; SALVIAN, M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; LEDUR, M. C.; GARRICK, D.; MOURÃO, G. B.; COUTINHO, L. L. Genome-wide association scan for QTL and their positional candidate genes associated with internal organ traits in chickens. BMC Genomics, v. 20, n. 669, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 3. | | 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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| 4. | | GONÇALVES, T. M.; REGITANO, L. C. de A.; KOLTES, J. E.; CESAR, A. S. M.; ANDRADE, S. C. da S.; MOURAO, G. B.; GASPARIN, G.; MOREIRA, G. C. M.; FRITZ-WATERS, E.; REECY, J. M.; COUTINHO, L. L. Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle. Frontiers in Genetics, v.9, n. 441, p. 1-18, 2018.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 5. | | 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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| 6. | | MOREIRA, G. C. M.; GODOY, T. F.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; LEDUR, M. C.; GARRICK, D.; SILVA, V. H. da; CROOIJAMANS, R. P.; GROENEN, M. A. M.; COUTINHO, L. L. Integration of GWAS, CNV and sele ction signature reveals candidate genes for abdominal fat regulation in chickens. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018. Digital Archive.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 7. | | OLIVEIRA, G. B.; REGITANO, L. C. de A.; CESAR, A. S. M.; REECY, J. M.; DEGAKI, K. Y.; POLETI, M. D.; FELICIO, A. M.; KOLTES, J. E.; COUTINHO, L. L. Integrative analysis of microRNAs and mRNAs revealed regulation of composition and metabolism in Nelore cattle. BMC Genomics, v. 19, n. 126, p. 2-16, 2018.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 8. | | OLIVEIRA, P. S. N. DE; ANDRADE, B. G.; CONTEVILLE, L. C.; CARDOSO, T. F.; PASCHOAL, J. J.; JOSAHKIAN, L. A.; ALMEIDA, L. F.; MARCONDES, C. R.; MOURÃO, G. B.; COUTINHO, L. L.; REECY, J. M.; REGITANO, L. C. de A. Microbial diversity in the stool of Bos indicus divergent for feed efficiency. Italian Journal of Animal Science, v. 22, supplement 1, 2023. p. 194. Congress of the Animal Science and Production Association, 25., Monopoli (BARI – ITALY), June 13–16, 2023.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 9. | | OLIVEIRA, P. S. N. de; TIZIOTO, P. C.; OLIVEIRA, G. B.; CESAR, A. S. M.; DINIZ, W. J. da S.; LIMA, A. O. de; REECY, J. M.; COUTINHO, L. L.; REGITANO, L. C. de A. Differentially expressed miRNAs in skeletal muscle related to feed efficiency in Nellore cattle. Journal of Animal Science, v. 94, e-suppl. 5; Journal of Dairy Science, v. 99, e-suppl. 1, p. 159, jul. 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 10. | | OLIVEIRA, P. S. N. DE; ANDRADE, B. G.; CARDOSO, T. F.; PASCHOAL, J. J.; JOSAHKIAN, L. A.; ALMEIDA, L. F.; MARCONDES, C. R.; MOURÃO, G. B.; COUTINHO, L. L.; REECY, J. M.; REGITANO, L. C. de A. Differentially expressed miRNAs in the stool of Bos indicus divergent for feed efficiency. Italian Journal of Animal Science, v. 22, supplement 1, 2023. p. 193-194. Congress of the Animal Science and Production Association, 25., Monopoli (BARI – ITALY), June 13–16, 2023.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 11. | | MALHEIROS, J. M.; CORREIA, B. S. B.; CERIBELI, C.; CARDOSO, D. R.; COLNAGO, L. A.; BOGUSZ JUNIOR, S.; REECY, J. M.; MOURÃO, G. B.; COUTINHO, L. L.; PALHARES, J. C. P.; BERNDT, A.; REGITANO, L. C. de A. Comparative untargeted metabolome analysis of ruminal fluid and feces of Nelore steers (Bos indicus). Scientific Reports, v.11, n.1, e12752, 2021. 13 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 12. | | MALHEIROS, J. M.; CORREIA, B. S. B.; CERIBELI, C.; CARDOSO, D. R.; COLNAGO, L. A.; BOGUSZ JUNIOR, S.; REECY, J. M.; MOURÃO, G. B.; COUTINHO, L. L.; PALHARES, J. C. P.; BERNDT, A.; REGITANO, L. C. de A. Comparative untargeted metabolome analysis of ruminal fuid and feces of Nelore steers (Bos indicus). Scientific Reports, v. 11, n. 1, e12752, 2021.| Biblioteca(s): Embrapa Instrumentação; Embrapa Pecuária Sudeste. |
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| 13. | | CESAR, A. S. M.; REGITANO, L. C. de A.; KOLTES, J.; FRITZ-WATERS, E. R.; TULLIO, R. R.; LANNA, D. P. D.; REECY, J. M.; MOURÃO, G. B.; GASPARIN, G.; COUTINHO, L. L. Transcriptome profile in Longissimus dorsi muscle from Nellore steers with extreme GEBV for intramuscular fat percentage. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Abstract... Guarujá:[ s.n.], 2013. AB.07.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 14. | | OLIVEIRA, P. S. N. de; CESAR, A. S. M.; OLIVEIRA, G. B. de; TIZIOTO, P. C.; POLETI, M. D.; DINIZ, W. J. da S.; LIMA, A. O. de; REECY, J. M.; COUTINHO, L. L.; REGITANO, L. C. de A. miRNAs related to fatty acids composition in Nellore cattle. Journal of Animal Science, v. 94, e-suppl. 5; Journal of Dairy Science, v. 99, e-suppl. 1, p. 159, jul. 2016. p. 160.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 15. | | 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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| 16. | | OLIVEIRA, P. S. N. de; COUTINHO, L. L.; CESAR, A. S. M.; DINIZ, W. J. da S.; SOUZA, M. de S.; ANDRADE, B. G.; KOLTES, J. E.; MOURÃO, G. B.; ZERLOTINI NETO, A.; REECY, J. M.; REGITANO, L. C. de A. Co-expression networks reveal potential regulatory roles of miRNAs in fatty acid composition of nelore cattle. Frontiers in Genetics, v. 10, p. 1-14, July 2019. Article 651. Na publicação: Adhemar Zerlotini, Luciana C.A. Regitano.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 17. | | OLIVEIRA, P. S. N.; CESAR, A. S. M.; NASCIMENTO, M. L. do; CHAVES, A. S.; TIZIOTO, P. C.; TULLIO, R. R.; LANNA, D. P. D.; ROSA, A. do N.; SONSTEGARD, T. S.; MOURÃO, G. B.; REECY, J. M.; GARRICK, D. J.; MUDADU, M. de A.; COUTINHO, L. L.; REGITANO, L. C. de A. Identification of genomic regions associated with feed efficiency in Nelore cattle. BMC Genetics, v. 15, n. 1, 2014 10 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 18. | | CESAR, A. S. M.; REGITANO, L. C. de A.; REECY, J. M.; POLETI, M. D.; OLIVEIRA, P. S. N. de; OLIVEIRA, G. B. de; MOREIRA, G. C. M.; MUDADU, M. de A.; TIZIOTO, P. L.; KOLTES, J. E.; Fritz-Waters, E.; KRAMER, L.; GARRICK, D.; BEIKI, H.; GEISTLINGER, L.; MOURÃO, G. B.; ZERLOTINI NETO, A.; COUTINHO, L. L. Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits. BMC Genomics, v. 19, p. 1-20, 2018. Article number: 499. Na publicação: Luciana C. A. Regitano, Maurício A. Mudadu, Adhemar Zerlotini.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 19. | | CESAR, A. S. M.; REGITANO, L. C. de A.; POLETI, M. D.; ANDRADE, S. C. da S.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; LANNA, D. P. D.; TULLIO, R. R.; NASSU, R. T.; KOLTES, J. E.; WATERS, E. F.; REECY, J. M.; COUTINHO, L. L. Association of skeletal muscle transcripts with fatty acid content in Nellore cattle. In: INTERNATIONAL SOCIETY FOR ANIMAL GENETICS CONFERENCE, 35., 2016, Salt Lake City. Proceedings... Salt Lake City: ISAG, 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 20. | | CESAR, A. S. M.; REGITANO, L. C. de A.; MOURÃO, G. B.; TULLIO, R. R.; LANNA, D. P. D.; NASSU, R. T.; MUDADU, M. de A.; OLIVEIRA, P. S. N.; NASCIMENTO, M. L. do; CHAVES, A. S.; ALENCAR, M. M. de; SONSTEGRAD, T. S.; GARRICK, D. J.; REECY, J. M.; COUTINHO, L. L. Genome-wide association study for intramuscular fat deposition and composition in Nellore cattle. BMC Genetics, v. 15, p. 39, 2014| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 32 | |
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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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