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| Registros recuperados : 77 | |
| 1. |  | 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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| 2. | | 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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| 3. | | 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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| 4. | | 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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| 5. | | 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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| 6. | | 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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| 7. | | 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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| 8. | | 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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| 9. | | 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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| 10. | | 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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| 11. | | 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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| 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. | | 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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| 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. | | SOUZA, M. M.; ZERLOTINI, A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; SOMAVILLA, A. L.; MOKRY, F. B.; CESAR, A. S. M.; DINIZ, W. J. S.; MUDADU, M. A.; NICIURA, S. C. M.; COUTINHO, L. L.; REGITANO, L. C. A. Complex pattern of CAST allelic expression in bovine muscle tissue. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 22., 2014, Boston, USA. Program... [Boston]: International Society for Computational Biology, 2014. Não paginado. ISMB 2014. Pôster E13.| Biblioteca(s): Embrapa Agricultura Digital. |
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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 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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| 17. | | 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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| 18. | | 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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| 19. | | 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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| 20. | | BOSCHIERO, C.; MOREIRA, G. C. M.; GHEYAS, A.; GODOY, T. F.; GASPARIN, G.; MARIANI, P. D. S. C.; PADUAN, M.; CESAR, A. S. M.; LEDUR, M. C.; COUTINHO, L. L. Genome-wide characterization of genetic variants and putative regions under selection in meat and egg-type chicken lines. BMC Genomics, v. 19, n. 83, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 77 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
03/03/2017 |
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Data da última atualização: |
03/03/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SANTANA, M. H. de A.; OLIVEIRA JUNIOR, G. A.; CESAR, A. S. M.; FREUA, M. C.; GOMES, R. da C.; SILVA, S. da L.; LEME, P. R.; FUKUMASU, H.; CARVALHO, M. E.; VENTURA, R. V.; COUTINHO, L. L.; KADARMIDEEN, H. N.; FERRAZ, J. B. S. |
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Afiliação: |
MIGUEL HENRIQUE DE ALMEIDA SANTANA; GERSON ANTÔNIO OLIVEIRA JUNIOR; ALINE SILVA MELLO CESAR; MATEUS CASTELANI FREUA; RODRIGO DA COSTA GOMES, CNPGC; SAULO DA LUZ E SILVA; PAULO ROBERTO LEME; HEIDGE FUKUMASU; MINOS ESPERÂNDIO CARVALHO; RICARDO VIEIRA VENTURA; LUIZ LEHMANN COUTINHO; HAJA N. KADARMIDEEN; JOSÉ BENTO STERMAN FERRAZ. |
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Título: |
Copy number variations and genome-wide associations reveal putative genes and metabolic pathways involved with the feed conversion ratio in beef cattle. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Journal of Applied Gentics, v. 57, n. 4, p. 495-504, 2016 |
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Idioma: |
Inglês |
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Conteúdo: |
The use of genome-wide association results combined with other genomic approaches may uncover genes and metabolic pathways related to complex traits. In this study, the phenotypic and genotypic data of 1475 Nellore (Bos indicus) cattle and 941,033 single nucleotide polymorphisms (SNPs) were used for genome-wide association study (GWAS) and copy number variations (CNVs) analysis in order to identify candidate genes and putative pathways involved with the feed conversion ratio (FCR). The GWAS was based on the Bayes B approach analyzing genomic windows with multiple regression models to estimate the proportion of genetic variance explained by each window. The CNVs were detected with PennCNV software using the log R ratio and B allele frequency data. CNV regions (CNVRs) were identified with CNVRuler and a linear regression was used to associate CNVRs and the FCR. Functional annotation of associated genomic regions was performed with the Database for Annotation, Visualization and Integrated Discovery (DAVID) and the metabolic pathways were obtained from the Kyoto Encyclopedia of Genes and Genomes (KEGG). We showed five genomic windows distributed over chromosomes 4, 6, 7, 8, and 24 that explain 12 % of the total genetic variance for FCR, and detected 12 CNVRs (chromosomes 1, 5, 7, 10, and 12) significantly associated [false discovery rate (FDR) < 0.05] with the FCR. Significant genomic regions (GWAS and CNV) harbor candidate genes involved in pathways related to energetic, lipid, and protein metabolism. The metabolic pathways found in this study are related to processes directly connected to feed efficiency in beef cattle. It was observed that, even though different genomic regions and genes were found between the two approaches (GWAS and CNV), the metabolic processes covered were related to each other. Therefore, a combination of the approaches complement each other and lead to a better understanding of the FCR. MenosThe use of genome-wide association results combined with other genomic approaches may uncover genes and metabolic pathways related to complex traits. In this study, the phenotypic and genotypic data of 1475 Nellore (Bos indicus) cattle and 941,033 single nucleotide polymorphisms (SNPs) were used for genome-wide association study (GWAS) and copy number variations (CNVs) analysis in order to identify candidate genes and putative pathways involved with the feed conversion ratio (FCR). The GWAS was based on the Bayes B approach analyzing genomic windows with multiple regression models to estimate the proportion of genetic variance explained by each window. The CNVs were detected with PennCNV software using the log R ratio and B allele frequency data. CNV regions (CNVRs) were identified with CNVRuler and a linear regression was used to associate CNVRs and the FCR. Functional annotation of associated genomic regions was performed with the Database for Annotation, Visualization and Integrated Discovery (DAVID) and the metabolic pathways were obtained from the Kyoto Encyclopedia of Genes and Genomes (KEGG). We showed five genomic windows distributed over chromosomes 4, 6, 7, 8, and 24 that explain 12 % of the total genetic variance for FCR, and detected 12 CNVRs (chromosomes 1, 5, 7, 10, and 12) significantly associated [false discovery rate (FDR) < 0.05] with the FCR. Significant genomic regions (GWAS and CNV) harbor candidate genes involved in pathways related to energetic, lipid,... Mostrar Tudo |
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Palavras-Chave: |
GWAS; Nellore cattle. |
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Thesaurus NAL: |
Cattle; Cucumber necrosis virus; Feed conversion; Genomics; Single nucleotide polymorphism. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/157039/1/Copy-number-variations-and-genome-wide.pdf
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Marc: |
LEADER 03009naa a2200349 a 4500
001 2066092
005 2017-03-03
008 2016 bl uuuu u00u1 u #d
100 1 $aSANTANA, M. H. de A.
245 $aCopy number variations and genome-wide associations reveal putative genes and metabolic pathways involved with the feed conversion ratio in beef cattle.$h[electronic resource]
260 $c2016
520 $aThe use of genome-wide association results combined with other genomic approaches may uncover genes and metabolic pathways related to complex traits. In this study, the phenotypic and genotypic data of 1475 Nellore (Bos indicus) cattle and 941,033 single nucleotide polymorphisms (SNPs) were used for genome-wide association study (GWAS) and copy number variations (CNVs) analysis in order to identify candidate genes and putative pathways involved with the feed conversion ratio (FCR). The GWAS was based on the Bayes B approach analyzing genomic windows with multiple regression models to estimate the proportion of genetic variance explained by each window. The CNVs were detected with PennCNV software using the log R ratio and B allele frequency data. CNV regions (CNVRs) were identified with CNVRuler and a linear regression was used to associate CNVRs and the FCR. Functional annotation of associated genomic regions was performed with the Database for Annotation, Visualization and Integrated Discovery (DAVID) and the metabolic pathways were obtained from the Kyoto Encyclopedia of Genes and Genomes (KEGG). We showed five genomic windows distributed over chromosomes 4, 6, 7, 8, and 24 that explain 12 % of the total genetic variance for FCR, and detected 12 CNVRs (chromosomes 1, 5, 7, 10, and 12) significantly associated [false discovery rate (FDR) < 0.05] with the FCR. Significant genomic regions (GWAS and CNV) harbor candidate genes involved in pathways related to energetic, lipid, and protein metabolism. The metabolic pathways found in this study are related to processes directly connected to feed efficiency in beef cattle. It was observed that, even though different genomic regions and genes were found between the two approaches (GWAS and CNV), the metabolic processes covered were related to each other. Therefore, a combination of the approaches complement each other and lead to a better understanding of the FCR.
650 $aCattle
650 $aCucumber necrosis virus
650 $aFeed conversion
650 $aGenomics
650 $aSingle nucleotide polymorphism
653 $aGWAS
653 $aNellore cattle
700 1 $aOLIVEIRA JUNIOR, G. A.
700 1 $aCESAR, A. S. M.
700 1 $aFREUA, M. C.
700 1 $aGOMES, R. da C.
700 1 $aSILVA, S. da L.
700 1 $aLEME, P. R.
700 1 $aFUKUMASU, H.
700 1 $aCARVALHO, M. E.
700 1 $aVENTURA, R. V.
700 1 $aCOUTINHO, L. L.
700 1 $aKADARMIDEEN, H. N.
700 1 $aFERRAZ, J. B. S.
773 $tJournal of Applied Gentics$gv. 57, n. 4, p. 495-504, 2016
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Embrapa Gado de Corte (CNPGC) |
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