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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
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Biblioteca(s): |
Embrapa Florestas. |
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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 |
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Circulação/Nível: |
A - 2 |
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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. |
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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. |
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Título: |
Genome-wide association studies, meta-analyses and derived gene network for meat quality and carcass traits in pigs. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Animal Production Science, v. 58, n. 6, p. 1100-1008, May 2018. |
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DOI: |
dx.doi.org/10.1071/AN16018 |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Biological pathways; Post-GWAS; SNP-derived gene networks. |
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Thesagro: |
Melhoramento Genético Animal; Suíno. |
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Thesaurus NAL: |
Animal breeding; Pork. |
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Categoria do assunto: |
G Melhoramento Genético |
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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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