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| Registros recuperados : 16 | |
| 1. |  | AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; LOPES, P. S.; GUIMARÃES, S. E. F. Regressão via componentes independentes aplicada à seleção genômica para características de carcaça em suínos. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 6, p. 619-626, jun. 2013.| Biblioteca(s): Embrapa Florestas; Embrapa Unidades Centrais. |
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| 2. | | COSTA, E. V.; DINIZ, D. B.; VERONEZE, R.; RESENDE, M. D. V. de; AZEVEDO, C. F.; GUIMARÃES, S. E. F.; SILVA, F. F.; LOPES, P. S. Estimating additive and dominance variances for complex traits in pigs combining genomic and pedigree information. Genetics and Molecular Research, v. 14, n. 2, p. 6303-6311, June 2015.| Biblioteca(s): Embrapa Florestas. |
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| 3. | | PINHEIRO, V. R.; SILVA, F. F. e; GUIMARÃES, S. E. F.; RESENDE, M. D. V. de; LOPES, P. S.; CRUZ, C. D.; AZEVEDO, C. F. Mapeamento de QTL para características de crescimento de suínos por meio de modelos de regressão aleatória. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 2, p. 190-196, fev. 2013.| Biblioteca(s): Embrapa Florestas; Embrapa Unidades Centrais. |
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| 4. | | VERARDO, L. L.; SILVA, F. F.; VARONA, L.; RESENDE, M. D. V. de; BASTIAANSEN, J. W. M.; LOPES, P. S.; GUIMARÃES, S. E. F. Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs. Journal of Applied Genetics, v. 56, n. 1, p. 123-132, Feb. 2015.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | AZEVEDO, C. F.; NASCIMENTO, M.; SILVA, F. F.; RESENDE, M. D. V. de; LOPES, P. S.; GUIMARÃES, S. E. F.; GLÓRIA, L. S. Comparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs. Genetics and Molecular Research, Ribeirão Preto, v. 14, n. 4, p. 12217-12227, 2015.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | AZEVEDO, C. F.; SILVA, F. F. e; RESENDE, M. D. V. de; PETERNELLI, L. A.; GUIMARÃES, S. E. F.; LOPES, P. S. Quadrados mínimos parciais uni e multivariado aplicados na seleção genômica para características de carcaça em suínos. Ciência Rural, Santa Maria, RS, v. 43, n. 9, p. 1642-1649, set. 2013.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | SANTOS, V. S.; MARTINS FILHO, S.; RESENDE, M. D. V. de; AZEVEDO, C. F.; LOPES, P. S.; GUIMARÃES, S. E. F.; SILVA, F. F. Genomic prediction for additive and dominance effects of censored traits in pigs. Genetics and Molecular Research, v. 15, n. 4, gmr15048764, Oct. 2016.| Biblioteca(s): Embrapa Florestas. |
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| 8. | | SANTOS, V. S.; MARTINS FILHO, S.; RESENDE, M. D. V. de; AZEVEDO, C. F.; LOPES, P. S.; GUIMARAES, S. E. F.; GLORIA, L. S.; SILVA, F. F. Genomic selection for slaughter age in pigs using the Cox frailty model. Genetics and Molecular Research, Ribeirão Preto, v. 14, n. 4, p. 12616-12627, 2015.| Biblioteca(s): Embrapa Florestas. |
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| 9. | | SILVA, F. F.; ROCHA, G. S.; RESENDE, M. D. V. de; GUIMARÃES, S. E. F.; PETERNELLI, L. A.; DUARTE, D. A. S.; AZEVEDO, C. Seleção genômica ampla para curvas de crescimento. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 65, n. 5, p. 1519-1526, 2013.| Biblioteca(s): Embrapa Florestas. |
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| 10. | | SILVA, F. F. e; ZAMBRANO, M. F. B.; VARONA, L.; GLÓRIA, L. S.; LOPES, P. S.; SILVA, M. V. G. B.; ARBEX, W. A.; LÁZARO, S. F.; RESENDE, M. D. V. de; GUIMARÃES, S. E. F. Genome association study through nonlinear mixed models revealed new candidate genes for pig growth curves. Scientia Agricola, v. 74, n. 1, 2017. 7 P.| Biblioteca(s): Embrapa Florestas; Embrapa Gado de Leite. |
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| 11. | | DUARTE, D. A. S.; FORTES, M. R. S.; DUARTE, M. de S.; GUIMARÃES, S. E. F.; VERARDO, L. L.; VERONEZE, R.; RIBEIRO, A. M. F.; LOPES, P. S.; RESENDE, M. D. V. de; SILVA, F. F. e. Genome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs. Animal Production Science, v. 58, n. 6, p. 1100-1008, May 2018.| Biblioteca(s): Embrapa Florestas. |
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| 12. | | SILVA, F. F.; JEREZ, E. A. Z.; RESENDE, M. D. V. de; VIANA, J. M. S.; AZEVEDO, C. F.; LOPES, P. S.; NASCIMENTO, M.; LIMA, R. O. de; GUIMARÃES, S. E. F. Bayesian model combining linkage and linkage disequilibrium analysis for low density-based genomic selection in animal breeding. Journal of Applied Animal Research, v. 46, n. 1, p. 873-878, 2018.| Biblioteca(s): Embrapa Florestas. |
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| 13. | | SILVA, F. F. e; RESENDE, M. D. V. de; ROCHA, G. S.; DUARTE, D. A. S.; LOPES, P. S.; BRUSTOLIN, O. J. B.; THUS, S.; VIANA, J. M. S.; GUIMARÃES, S. E. F. Genomic growth curves of an outbred pig population. Genetics and Molecular Biology, v. 36, n. 4, p. 520-527, 2013.| Biblioteca(s): Embrapa Florestas. |
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| 14. | | BARROSO, L. M. A.; NASCIMENTO, M.; NASCIMENTO, A. C. C.; SILVA, F. F.; SERÃO, N. V. L.; CRUZ, C. D.; RESENDE, M. D. V. de; SILVA, F. L.; AZEVEDO, C. F.; LOPES, P. S.; GUIMARÃES, S. E. F. Regularized quantile regression for SNP marker estimation of pig growth curves. Journal of Animal Science and Biotechnology, v. 8, n. 59, 2017. 9 p.| Biblioteca(s): Embrapa Florestas. |
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| 15. | | AZEVEDO, C. F.; SILVA, F. F.; RESENDE, M. D. V. de; LOPES, M. S.; DUIJVESTEINJN, N.; GUIMARÃES, S. E. F.; LOPES, P. S.; KELLY, M. J.; VIANA, J. M. S.; KNOL, E. F. Supervised independent component analysis as an alternative method for genomic selection in pigs. Journal of Animal Breeding and Genetics, v. 131, p. 452-461, 2014.| Biblioteca(s): Embrapa Florestas. |
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| 16. | | TEIXEIRA, F. R. F.; NASCIMENTO, M.; NASCIMENTO, A. C. C.; SILVA, F. F. e; CRUZ, C. D.; AZEVEDO, C. F.; PAIXÃO, D. M.; BARROSO, L. M. A.; VERARDO, L. L.; RESENDE, M. D. V. de; GUIMARÃES, S. E. F.; LOPES, P. S. Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs. Genetics and Molecular Research, v. 15, n. 2, 2016. 10 p.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 16 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Florestas. |
|
Data corrente: |
30/08/2018 |
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Data da última atualização: |
11/02/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 2 |
|
Autoria: |
DUARTE, D. A. S.; FORTES, M. R. S.; DUARTE, M. de S.; GUIMARÃES, S. E. F.; VERARDO, L. L.; VERONEZE, R.; RIBEIRO, A. M. F.; LOPES, P. S.; RESENDE, M. D. V. de; SILVA, F. F. e. |
|
Afiliação: |
Darlene Ana S. Duarte, UFV; Marina Rufino S. Fortes, University of Queensland; Marcio de Souza Duarte, UFV; Simone E. F. Guimarães, UFV; Lucas L. Verardo, UFV; Renata Veroneze, UFV; Andre Mauric F. Ribeiro, UFV; Paulo Sávio Lopes, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV. |
|
Título: |
Genome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs. |
|
Ano de publicação: |
2018 |
|
Fonte/Imprenta: |
Animal Production Science, v. 58, n. 6, p. 1100-1008, May 2018. |
|
DOI: |
dx.doi.org/10.1071/AN16018 |
|
Idioma: |
Inglês |
|
Conteúdo: |
A large number of quantitative trait loci (QTL) for meat quality and carcass traits has been reported in pigs over the past 20 years. However, few QTL have been validated and the biological meaning of the genes associated to these QTL has been underexploited. In this context, a meta-analysis was performed to compare the significant markers with meta-QTL previously reported in literature. Genome association studies were performed for 12 traits, from which 144 SNPs were found out to be significant (P < 0.05). They were validated in the meta-analysis and used to build the Association Weight Matrix, a matrix framework employed to investigate co-association of pairwise SNP across phenotypes enabling to derive a gene network. A total of 45 genes were selected from the Association Weight Matrix analysis, from which 25 significant transcription factors were identified and used to construct the networks associated to meat quality and carcass traits. These networks allowed the identification of key transcription factors, such as SOX5 and NKX2–5, gene–gene interactions (e.g. ATP5A1, JPH1, DPT and NEDD4) and pathways related to the regulation of adipose tissue metabolism and skeletal muscle development. Validated SNPs and knowledge of key genes driving these important industry traits might assist future strategies in pig breeding. |
|
Palavras-Chave: |
Biological pathways; Post-GWAS; SNP-derived gene networks. |
|
Thesagro: |
Melhoramento Genético Animal; Suíno. |
|
Thesaurus NAL: |
Animal breeding; Pork. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
Marc: |
LEADER 02343naa a2200325 a 4500
001 2094834
005 2019-02-11
008 2018 bl uuuu u00u1 u #d
024 7 $adx.doi.org/10.1071/AN16018$2DOI
100 1 $aDUARTE, D. A. S.
245 $aGenome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs.$h[electronic resource]
260 $c2018
520 $aA large number of quantitative trait loci (QTL) for meat quality and carcass traits has been reported in pigs over the past 20 years. However, few QTL have been validated and the biological meaning of the genes associated to these QTL has been underexploited. In this context, a meta-analysis was performed to compare the significant markers with meta-QTL previously reported in literature. Genome association studies were performed for 12 traits, from which 144 SNPs were found out to be significant (P < 0.05). They were validated in the meta-analysis and used to build the Association Weight Matrix, a matrix framework employed to investigate co-association of pairwise SNP across phenotypes enabling to derive a gene network. A total of 45 genes were selected from the Association Weight Matrix analysis, from which 25 significant transcription factors were identified and used to construct the networks associated to meat quality and carcass traits. These networks allowed the identification of key transcription factors, such as SOX5 and NKX2–5, gene–gene interactions (e.g. ATP5A1, JPH1, DPT and NEDD4) and pathways related to the regulation of adipose tissue metabolism and skeletal muscle development. Validated SNPs and knowledge of key genes driving these important industry traits might assist future strategies in pig breeding.
650 $aAnimal breeding
650 $aPork
650 $aMelhoramento Genético Animal
650 $aSuíno
653 $aBiological pathways
653 $aPost-GWAS
653 $aSNP-derived gene networks
700 1 $aFORTES, M. R. S.
700 1 $aDUARTE, M. de S.
700 1 $aGUIMARÃES, S. E. F.
700 1 $aVERARDO, L. L.
700 1 $aVERONEZE, R.
700 1 $aRIBEIRO, A. M. F.
700 1 $aLOPES, P. S.
700 1 $aRESENDE, M. D. V. de
700 1 $aSILVA, F. F. e
773 $tAnimal Production Science$gv. 58, n. 6, p. 1100-1008, May 2018.
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