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| Registros recuperados : 77 | |
| 1. |  | COUTINHO, L. L.; MOROSINI, N. S.; CESAR, A. S. M.; POLETI, M. D.; REGITANO, L. C. de A.; MARGARIDO, G. R. A. Identification and characterization of euchromatic regions associated with gene expression and intramuscular fat in Nelore cattle. Journal of Animal Science, v. 96, suppl. S3, p. 233-234, 2019.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 2. | | OLIVEIRA, G. B. de; CESAR, A. S. M.; FELÍCIO, A. M.; KAPPELER, B. I. G.; POLETI, M. D.; REGITANO, L. C. de A.; COUTINHO, L. L. Evidence of miRNA regulation of intramuscular fat deposition in beef cattle. In: PLANT AND ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. Anais... San Diego: PAG, 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 3. | | MOREIRA, G. C. M.; CESAR, A. S. M.; GODOY, T. F.; BOSCHIERO, C.; LEDUR, M. C.; GARRICK, D. J.; MOURA, A. S. A. M. T.; COUTINHO, L. L. Genome-wide association studies reveal genomic windows and candidate genes related to fat deposition in chickens. In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P0647.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 4. | | OLIVEIRA, G. B. de; CESAR, A. S. M.; FELICIO, A. M.; POLETI, M. D.; REGITANO, L. C. de A.; COUTINHO, L. L. Gene network regulated by microRNAs suggests modulation of fat deposition in 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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| 5. | | VIGNATO, B. S.; COUTINHO, L. L.; CESAR, A. S. M.; POLETI, M. D.; REGITANO, L. C. de A.; BALIEIRO, J. C. de C. Gene co-expression network analysis associated with carcass traits in Nellore steers. In: ANNUAL CONFERENCE OF AUSTRALIAN MARINE SCIENCES ASSOCIATION, 57., 2017, Darwin, Australia. Proceedings... Darwin, Australia: AMSA, 2017.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 6. | | VIGNATO B. S.; COUTINHO, L. L.; POLETI, M. D.; CESAR, A. S. M.; MONCAU, C. T.; REGITANO, L. C. de A.; BALIEIRO, J. C. C. Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. Genomics, v. 20, n. 32, p. 2-13, 2019.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 7. | | SILVEIRA, J. C. da; FERRONATO, G. de A.; OLIVEIRA, J. F. C. de; HENKES, L. E.; BENAVIDES, M. V.; CESAR, A. S. M. Marcadores moleculares aplicados à seleção animal. In: GONÇALVES, P. B. D.; FIGUEIREDO, J. R. de; GASPERIN, B. G. (ed.). Biotécnicas aplicadas à reprodução animal e à humana. 3. ed. Rio de Janeiro: Roca, 2021. p. 323-340.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 8. | | OLIVEIRA, G. B.; KAPPELER, B. G.; CESAR, A. S. M.; POLETI, M. D.; REGITANO, L. C. de A.; COUTINHO, L. L. Micrornas expression profile and functional enrichment of Longissimus Dorsi muscle in Nellore cattle. In: CONGRESSO BRASILEIRO DE GENÉTICA, 61., 2015, Águas de Lindóia. Anais...Águas de Lindóia: Sociedade Brasileira de Genética, 2015.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 9. | | VIGNATO, B. S.; COUTINHO, L. L.; CESAR, A. S. M.; POLETI, M. D.; REGITANO, L. C. de A.; BALIEIRO, J. C. de C. Comparative muscle transcriptome associated with carcass traits of Nellore cattle. BMC Genomics, v. 18, n. 506, p. 1-13, 2017.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 10. | | RIPAMONTE, P.; BACCAGLINI, M.; CESAR, A. S. M.; FIGUEIREDO, L. G. G.; BALIEIRO, J. C. C.; CAETANO, A. R.; MEIRELLES, F. V. Estimation of taurindicine hybridization of American Zebu cattle in Brazil. Genetics and Molecular Research, v. 11, n. 1, p. 393-403, 2012.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 11. | | DINIZ, W. J. DA S.; TIZIOTO, P. C.; COUTINHO, L. L.; CESAR, A. S. M.; GROMBONI, C. F.; NOGUEIRA, A. R. de A.; REGITANO, L. C. de A. Transcriptomic analysis identifies differentially expressed genes related to lipid metabolism in extreme animals for GEBV for iron content in the muscle Nelore steers. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 52., Belo Horizonte, 2015. Anais... Belo Horizonte: SBZ, 2015.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 12. | | VIGNATO, B. S.; REGITANO, L. C. de A.; COUTINHO, L. L.; CESAR, A. S. M.; POLETI, M. D.; BALIEIRO, J. C. de C. NEDD4: a putative candidate gene for ribeye area in Nellore steers. In: WORKSHOP ON OMICS STRATEGIES APPLIED TO LIVESTOCK SCIENCE, 1., 2017, Piracicaba, SP. Proceedings... São Carlos, SP: Embrapa Pecuária Sudeste, 2017. p. 15. (Embrapa Pecuária Sudeste. Documentos, 125) Editores: Luiz Lehmann Coutinho, ESALQ/USP; Luciana Correia de Almeida Regitano, Embrapa Pecuária Sudeste; Gerson Barreto Mourão, ESALQ/USP; Aline Silva Mello Cesar, ESALQ/USP; Bárbara Silva Vignato, FZEA/USP; Mirele Daiana Poleti,...| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 13. | | KAPPELER, B. I. G.; REGITANO, L. C. de A.; POLETI, M. D.; CESAR, A. S. M.; MOREIRA, G. C. M.; GASPARIN, G.; COUTINHO, L. L. MiRNAs differentially expressed in skeletal muscle of animals with divergent estimated breeding values for beef tenderness. Molecular Biology, v. 20, n. 1, p. 2-11, 2019.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 14. | | GEISTLINGER, L.; SILVA, V. H. da; CESAR, A. S. M.; TIZIOTO, P. C.; WALDRON, L.; ZIMMER, R.; REGITANO, L. C. de A.; COUTINHO, L. L. Widespread modulation of gene expression by copy number variation in skeletal muscle. Scientific Reports, v. 8, n. 1399, p. 1-11, jan. 2018.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 15. | | DINIZ, W. J. da S.; CESAR, A. S. M.; GEISTLINGER, L.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; AFONSO, J.; ROCHA, M. I. P.; LIMA, A. O. de; BUSS, C. E.; COUTINHO, L. L.; REGITANO, L. C. de A. Co-expression network analysis identifies genes associated with iron content in bovine muscle. In: WORKSHOP ON OMICS STRATEGIES APPLIED TO LIVESTOCK SCIENCE, 1., 2017, Piracicaba, SP. Proceedings... São Carlos, SP: Embrapa Pecuária Sudeste, 2017. p. 19. (Embrapa Pecuária Sudeste. Documentos, 125) Editores: Luiz Lehmann Coutinho, ESALQ/USP; Luciana Correia de Almeida Regitano, Embrapa Pecuária Sudeste; Gerson Barreto Mourão, ESALQ/USP; Aline Silva Mello Cesar, ESALQ/USP; Bárbara Silva Vignato, FZEA/USP; Mirele Daiana Poleti,...| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 16. | | DINIZ, W. J. da S.; CESAR, A. S. M.; GEISTLINGER, L.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; AFONSO, J.; ROCHA, M. I. P.; LIMA, A. O. de; BUSS, C. E.; COUTINHO, L. L.; REGITANO, L. C. de A. Co-expression network analysis identifies genes associated with meat tenderness. In: INTERNATIONAL SOCIETY FOR ANIMAL GENETICS CONFERENCE, 36., 2017, Dublin. Proceedings... Dublin: University College Dublin, 2017. p. 144.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 17. | | SOUZA, M. M.; MOKRY, F. C.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; SOMAVILLA, A.; CESAR, A. S. M.; MORÉ, D.; MOURÃO, G.; DINIZ, W. J. S.; MUDADU, M. A.; NICIURA, S. C. M.; ZERLOTINI, A.; REGITANO, L. C. Allele specific expression analysis in bovine muscle tissue. In: INTERNATIONAL CONFERENCE OF TH AB3C, 11.; BRAZILIAN SYMPOSIUM OF BIOINFORMATICS, 2015, São Paulo. Proceedings... São Paulo: USP-São Paulo, 2015.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 18. | | 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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| 19. | | 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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| 20. | | 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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| Registros recuperados : 77 | |
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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: |
04/10/2019 |
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Data da última atualização: |
04/10/2019 |
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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.; 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. |
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Afiliação: |
GABRIEL COSTA MONTEIRO MOREIRA, ESALQ; MAYARA SALVIAN, ESALQ; CLARISSA BOSCHIERO, ESALQ; ALINE SILVA MELLO CESAR, ESALQ; JAMES M. REECY, Iowa State University/Department of Animal Science; THAIS FERNANDA GODOY, ESALQ; MONICA CORREA LEDUR, CNPSA; DORIAN J. GARRICK, Massey University/ School of Agriculture; GERSON BARRETO MOURÃO, ESALQ; LUIZ LEHMMAN COUTINHO, ESALQ. |
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Título: |
Genome-wide association scan for QTL and their positional candidate genes associated with internal organ traits in chickens. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
BMC Genomics, v. 20, n. 669, 2019. |
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DOI: |
10.1186/s12864-019-6040-3 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract Background: Poultry breeding programs have been focused on improvement of growth and carcass traits, however, this has resulted in correlated changes in internal organ weights and increased incidence of metabolic disorders. These disorders can affect feed efficiency or even cause death. We used a high density SNP array (600 K, Affymetrix) to estimate genomic heritability, perform genome-wide association analysis, and identify genomic regions and positional candidate genes (PCGs) associated with internal organ traits in an F2 chicken population. We integrated knowledge of haplotype blocks, selection signature regions and sequencing data to refine the list of PCGs. Results: Estimated genomic heritability for internal organ traits in chickens ranged from low (LUNGWT, 0.06) to high (GIZZWT, 0.45). A total of 20 unique 1 Mb windows identified on GGA1, 2, 4, 7, 12, 15, 18, 19, 21, 27 and 28 were significantly associated with intestine length, and weights or percentages of liver, gizzard or lungs. Within these windows, 14 PCGs were identified based on their biological functions: TNFSF11, GTF2F2, SPERT, KCTD4, HTR2A, RB1, PCDH7, LCORL, LDB2, NR4A2, GPD2, PTPN11, ITGB4 and SLC6A4. From those genes, two were located within haplotype blocks and three overlapped with selection signature regions. A total of 13,748 annotated sequence SNPs were in the 14 PCGs, including 156 SNPs in coding regions (124 synonymous, 26 non-synonymous, and 6 splice variants). Seven deleterious SNPs were identified in TNFSF11, NR4A2 or ITGB4 genes. Conclusions: The results from this study provide novel insights to understand the genetic architecture of internal organ traits in chickens. The QTL detection performed using a high density SNP array covered the whole genome allowing the discovery of novel QTL associated with organ traits. We identified PCGs within the QTL involved in biological processes that may regulate internal organ growth and development. Potential functional genetic variations were identified generating crucial information that, after validation, might be used in poultry breeding programs to reduce the occurrence of metabolic disorders. MenosAbstract Background: Poultry breeding programs have been focused on improvement of growth and carcass traits, however, this has resulted in correlated changes in internal organ weights and increased incidence of metabolic disorders. These disorders can affect feed efficiency or even cause death. We used a high density SNP array (600 K, Affymetrix) to estimate genomic heritability, perform genome-wide association analysis, and identify genomic regions and positional candidate genes (PCGs) associated with internal organ traits in an F2 chicken population. We integrated knowledge of haplotype blocks, selection signature regions and sequencing data to refine the list of PCGs. Results: Estimated genomic heritability for internal organ traits in chickens ranged from low (LUNGWT, 0.06) to high (GIZZWT, 0.45). A total of 20 unique 1 Mb windows identified on GGA1, 2, 4, 7, 12, 15, 18, 19, 21, 27 and 28 were significantly associated with intestine length, and weights or percentages of liver, gizzard or lungs. Within these windows, 14 PCGs were identified based on their biological functions: TNFSF11, GTF2F2, SPERT, KCTD4, HTR2A, RB1, PCDH7, LCORL, LDB2, NR4A2, GPD2, PTPN11, ITGB4 and SLC6A4. From those genes, two were located within haplotype blocks and three overlapped with selection signature regions. A total of 13,748 annotated sequence SNPs were in the 14 PCGs, including 156 SNPs in coding regions (124 synonymous, 26 non-synonymous, and 6 splice variants). Seven deleterious SNPs we... Mostrar Tudo |
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Palavras-Chave: |
Deleterious mutations; Genomic heritability; GWAS; Metabolic disorders. |
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Thesagro: |
Avicultura; Genética Animal; Genoma; Melhoramento Genético Animal. |
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Thesaurus NAL: |
Genomics; Gizzard; Heart; Intestines; Liver; Lungs; Metabolic diseases. |
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Categoria do assunto: |
-- |
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Marc: |
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001 2112783
005 2019-10-04
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1186/s12864-019-6040-3$2DOI
100 1 $aMOREIRA, G. C. M.
245 $aGenome-wide association scan for QTL and their positional candidate genes associated with internal organ traits in chickens.$h[electronic resource]
260 $c2019
520 $aAbstract Background: Poultry breeding programs have been focused on improvement of growth and carcass traits, however, this has resulted in correlated changes in internal organ weights and increased incidence of metabolic disorders. These disorders can affect feed efficiency or even cause death. We used a high density SNP array (600 K, Affymetrix) to estimate genomic heritability, perform genome-wide association analysis, and identify genomic regions and positional candidate genes (PCGs) associated with internal organ traits in an F2 chicken population. We integrated knowledge of haplotype blocks, selection signature regions and sequencing data to refine the list of PCGs. Results: Estimated genomic heritability for internal organ traits in chickens ranged from low (LUNGWT, 0.06) to high (GIZZWT, 0.45). A total of 20 unique 1 Mb windows identified on GGA1, 2, 4, 7, 12, 15, 18, 19, 21, 27 and 28 were significantly associated with intestine length, and weights or percentages of liver, gizzard or lungs. Within these windows, 14 PCGs were identified based on their biological functions: TNFSF11, GTF2F2, SPERT, KCTD4, HTR2A, RB1, PCDH7, LCORL, LDB2, NR4A2, GPD2, PTPN11, ITGB4 and SLC6A4. From those genes, two were located within haplotype blocks and three overlapped with selection signature regions. A total of 13,748 annotated sequence SNPs were in the 14 PCGs, including 156 SNPs in coding regions (124 synonymous, 26 non-synonymous, and 6 splice variants). Seven deleterious SNPs were identified in TNFSF11, NR4A2 or ITGB4 genes. Conclusions: The results from this study provide novel insights to understand the genetic architecture of internal organ traits in chickens. The QTL detection performed using a high density SNP array covered the whole genome allowing the discovery of novel QTL associated with organ traits. We identified PCGs within the QTL involved in biological processes that may regulate internal organ growth and development. Potential functional genetic variations were identified generating crucial information that, after validation, might be used in poultry breeding programs to reduce the occurrence of metabolic disorders.
650 $aGenomics
650 $aGizzard
650 $aHeart
650 $aIntestines
650 $aLiver
650 $aLungs
650 $aMetabolic diseases
650 $aAvicultura
650 $aGenética Animal
650 $aGenoma
650 $aMelhoramento Genético Animal
653 $aDeleterious mutations
653 $aGenomic heritability
653 $aGWAS
653 $aMetabolic disorders
700 1 $aSALVIAN, M.
700 1 $aBOSCHIERO, C.
700 1 $aCESAR, A. S. M.
700 1 $aREECY, J. M.
700 1 $aGODOY, T. F.
700 1 $aLEDUR, M. C.
700 1 $aGARRICK, D.
700 1 $aMOURÃO, G. B.
700 1 $aCOUTINHO, L. L.
773 $tBMC Genomics$gv. 20, n. 669, 2019.
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