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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Gado de Corte. |
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Data corrente: |
04/01/2017 |
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Data da última atualização: |
17/01/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MUDADU, M. de A.; PORTO-NETO, L. R.; MOKRY, F. B.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; TULLIO, R. R.; NASSU, R. T.; NICIURA, S. C. M.; THOLON, P.; ALENCAR, M. M. de; HIGA, R. H.; ROSA, A. do N.; FEIJO, G. L. D.; FERRAZ, A. L. J.; SILVA, L. O. C. da; MEDEIROS, S. R. de; LANNA, D. P.; NASCIMENTO, M. L.; CHAVES, A. S.; SOUZA, A. R. D. L.; PACKER, I. U.; TORRES JUNIOR, R. A. de A.; SIQUEIRA, F.; MOURÃO, G. B.; COUTINHO, L. L.; REVERTER, A.; REGITANO, L. C. de A. |
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Afiliação: |
MAURICIO DE ALVARENGA MUDADU, CNPTIA; LAERCIO R. PORTO-NETO, Commonwealth Scientific and Industrial Research Organization - Agriculture; FABIANA B. MOKRY, UFSCar; POLYANA C. TIZIOTO, UFSCar; PRISCILA S. N. OLIVEIRA, UFSCar; RYMER RAMIZ TULLIO, CPPSE; RENATA TIEKO NASSU, CPPSE; SIMONE CRISTINA MEO NICIURA, CPPSE; PATRICIA THOLON, CPPSE; MAURICIO MELLO DE ALENCAR, CPPSE; ROBERTO HIROSHI HIGA, CNPTIA; ANTONIO DO NASCIMENTO FERREIRA ROSA, CNPGC; GELSON LUIS DIAS FEIJO, CNPGC; ANDRÉ L. J. FERRAZ, UEMS; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC; SERGIO RAPOSO DE MEDEIROS, CNPGC; DANTE P. LANNA, USP; MICHELE L. NASCIMENTO, USP; AMÁLIA S. CHAVES, USP; ANDREA R. D. L. SOUZA, UFMS; IRINEU U. PACKER, USP; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; FABIANE SIQUEIRA, CNPGC; GERSON B. MOURÃO, USP; LUIZ L. COUTINHO, USP; ANTONIO REVERTER, Commonwealth Scientific and Industrial Research Organization - Agriculture; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE. |
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Título: |
Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
BMC Genomics, London, v. 17, p. 1-16, Mar. 2016. |
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DOI: |
10.1186/s12864-016-2535-3 |
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Idioma: |
Inglês |
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Conteúdo: |
Nelore is the major beef cattle breed in Brazil with more than 130 million heads. Genome-wide association studies (GWAS) are often used to associate markers and genomic regions to growth and meat quality traits that can be used to assist selection programs. An alternative methodology to traditional GWAS that involves the construction of gene network interactions, derived from results of several GWAS is the AWM (Association Weight Matrices)/PCIT (Partial Correlation and Information Theory). With the aim of evaluating the genetic architecture of Brazilian Nelore cattle, we used high-density SNP genotyping data (~770,000 SNP) from 780 Nelore animals comprising 34 half-sibling families derived from highly disseminated and unrelated sires from across Brazil. The AWM/PCIT methodology was employed to evaluate the genes that participate in a series of eight phenotypes related to growth and meat quality obtained from this Nelore sample. |
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Palavras-Chave: |
Association Weight Matrices; Genome-wide association studies; Partial Correlation and Information Theory. |
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Thesagro: |
Gado de corte; Gado Nelore; Gene; Genética; Genótipo. |
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Thesaurus Nal: |
Beef cattle; Genetic resources; Genotype; Genotyping; Nellore. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/152737/1/genomic.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/156952/1/Genomic-structure-and-marker-derived.pdf
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Marc: |
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024 7 $a10.1186/s12864-016-2535-3$2DOI
100 1 $aMUDADU, M. de A.
245 $aGenomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle.$h[electronic resource]
260 $c2016
520 $aNelore is the major beef cattle breed in Brazil with more than 130 million heads. Genome-wide association studies (GWAS) are often used to associate markers and genomic regions to growth and meat quality traits that can be used to assist selection programs. An alternative methodology to traditional GWAS that involves the construction of gene network interactions, derived from results of several GWAS is the AWM (Association Weight Matrices)/PCIT (Partial Correlation and Information Theory). With the aim of evaluating the genetic architecture of Brazilian Nelore cattle, we used high-density SNP genotyping data (~770,000 SNP) from 780 Nelore animals comprising 34 half-sibling families derived from highly disseminated and unrelated sires from across Brazil. The AWM/PCIT methodology was employed to evaluate the genes that participate in a series of eight phenotypes related to growth and meat quality obtained from this Nelore sample.
650 $aBeef cattle
650 $aGenetic resources
650 $aGenotype
650 $aGenotyping
650 $aNellore
650 $aGado de corte
650 $aGado Nelore
650 $aGene
650 $aGenética
650 $aGenótipo
653 $aAssociation Weight Matrices
653 $aGenome-wide association studies
653 $aPartial Correlation and Information Theory
700 1 $aPORTO-NETO, L. R.
700 1 $aMOKRY, F. B.
700 1 $aTIZIOTO, P. C.
700 1 $aOLIVEIRA, P. S. N.
700 1 $aTULLIO, R. R.
700 1 $aNASSU, R. T.
700 1 $aNICIURA, S. C. M.
700 1 $aTHOLON, P.
700 1 $aALENCAR, M. M. de
700 1 $aHIGA, R. H.
700 1 $aROSA, A. do N.
700 1 $aFEIJO, G. L. D.
700 1 $aFERRAZ, A. L. J.
700 1 $aSILVA, L. O. C. da
700 1 $aMEDEIROS, S. R. de
700 1 $aLANNA, D. P.
700 1 $aNASCIMENTO, M. L.
700 1 $aCHAVES, A. S.
700 1 $aSOUZA, A. R. D. L.
700 1 $aPACKER, I. U.
700 1 $aTORRES JUNIOR, R. A. de A.
700 1 $aSIQUEIRA, F.
700 1 $aMOURÃO, G. B.
700 1 $aCOUTINHO, L. L.
700 1 $aREVERTER, A.
700 1 $aREGITANO, L. C. de A.
773 $tBMC Genomics, London$gv. 17, p. 1-16, Mar. 2016.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| Registros recuperados : 208 | |
| 15. |  | GIACHETTO, P. F.; HIGA, R. H. Bioinformática aplicada à agricultura. In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; LUCHIARI JUNIOR, A.; ROMANI, L. A. S. (Ed.). Tecnologias da informação e comunicação e suas relações com a agricultura. Brasília, DF: Embrapa, 2014. Cap. 4. p. 67-83.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 16. | | GIACHETTO, P. F.; HIGA, R. H. Bioinformatics applied to agriculture. In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; LUCHIARI JUNIOR, A.; ROMANI, L. A. S. (Ed.). Information and communication technologies and their relations with agriculture. Brasília, DF: Embrapa, 2016. ch. 4, p. 67-86.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 208 | |
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