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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 Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
18/12/2018 |
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Data da última atualização: |
24/01/2023 |
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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: |
OTTO, P. I.; GUIMARÃES, S. E. F.; VERARDO, L. L.; AZEVEDO, A. L. S.; VANDENPLAS, J.; SOARES, A. C. C.; SEVILLANO, C. A.; VERONEZE R; PIRES, M. de F. A.; FREITAS, C. de; PRATA, M. C. de A.; FURLONG, J.; VERNEQUE, R. da S.; MARTINS, M. F.; PANETTO, J. C. do C.; CARVALHO, W. A.; GOBO, D. O. R.; SILVA, M. V. G. B.; MACHADO, M. A. |
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Afiliação: |
PAMELA I. OTTO, UFV; SIMONE ELIZA FACIONI GUIMARAES, UFV; LUCAS L. VERARDO, UFV; ANA LUISA SOUSA AZEVEDO, CNPGL; J. VANDENPLAS, Wageningen University; ALINE C. C. SOARES, UFV; CLAUDIA A. SEVILLANO, Wageningen University; Topigs Norsvin Research Center, Beuningen; RENATA VERONEZE, UFV; MARIA DE FATIMA AVILA PIRES, CNPGL; CELIO DE FREITAS, CNPGL; MARCIA CRISTINA DE AZEVEDO PRATA, CNPGL; JOHN FURLONG, CNPGL; RUI DA SILVA VERNEQUE, CNPGL; MARTA FONSECA MARTINS, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; WANESSA ARAUJO CARVALHO, CNPGL; DIEGO O. R. GOBO, UFV; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; MARCO ANTONIO MACHADO, CNPGL. |
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Título: |
Genome-wide association studies for tick resistance in Bos taurus × Bos indicus crossbred cattle: A deeper look into this intricate mechanism. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Journal of Dairy Science, v. 101, n. 12, p. 11020-11032, 2018. |
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DOI: |
10.3168/jds.2017-14223 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT Rhipicephalus (Boophilus) microplus is the main cattle ectoparasite in tropical areas. Gir × Holstein crossbred cows are well adapted to different production systems in Brazil. In this context, we performed genome-wide association study (GWAS) and post-GWAS analyses for R. microplus resistance in an experimental Gir × Holstein F2 population. Single nucleotide polymorphisms (SNP) identified in GWAS were used to build gene networks and to investigate the breed of origin for its alleles. Tick artificial infestations were performed during the dry and rainy seasons. Illumina BovineSNP50 BeadChip (Illumina Inc., San Diego, CA) and single-step BLUP procedure was used for GWAS. Post-GWAS analyses were performed by gene ontology terms enrichment and gene transcription factors networks, generated from enriched transcription factors, identified from the promoter sequences of selected gene sets. The genetic origin of marker alleles in the F2 population was assigned using the breed of origin of alleles approach. Heritability estimates for tick counts were 0.40 ± 0.11 in the rainy season and 0.54 ± 0.11 in the dry season. The top ten 0.5-Mbp windows with the highest percentage of genetic variance explained by SNP markers were found in chromosomes 10 and 23 for both the dry and rainy seasons. Gene network analyses allowed the identification of genes involved with biological processes relevant to immune system functions (TREM1, TREM2, and CD83). Gene-transcription factors network allowed the identification of genes involved with immune functions (MYO5A, TREML1, and PRSS16). In resistant animals, the average proportion of animals showing significant SNPs with paternal and maternal alleles originated from Gir breed was 44.8% whereas the proportion of animals with both paternal and maternal alleles originated from Holstein breed was 11.3%. Susceptible animals showing both paternal and maternal alleles originated from Holstein breed represented 44.6% on average, whereas both paternal and maternal alleles originated from Gir breed animals represented 9.3%. This study allowed us to identify candidate genes for tick resistance in Gir × Holstein crossbreds in both rainy and dry seasons. According to the origin of alleles analysis, we found that most animals classified as resistant showed 2 alleles from Gir breed, while the susceptible ones showed alleles from Holstein. Based on these results, the identified genes may be thoroughly investigated in additional experiments aiming to validate their effects on tick resistance phenotype in cattle. MenosABSTRACT Rhipicephalus (Boophilus) microplus is the main cattle ectoparasite in tropical areas. Gir × Holstein crossbred cows are well adapted to different production systems in Brazil. In this context, we performed genome-wide association study (GWAS) and post-GWAS analyses for R. microplus resistance in an experimental Gir × Holstein F2 population. Single nucleotide polymorphisms (SNP) identified in GWAS were used to build gene networks and to investigate the breed of origin for its alleles. Tick artificial infestations were performed during the dry and rainy seasons. Illumina BovineSNP50 BeadChip (Illumina Inc., San Diego, CA) and single-step BLUP procedure was used for GWAS. Post-GWAS analyses were performed by gene ontology terms enrichment and gene transcription factors networks, generated from enriched transcription factors, identified from the promoter sequences of selected gene sets. The genetic origin of marker alleles in the F2 population was assigned using the breed of origin of alleles approach. Heritability estimates for tick counts were 0.40 ± 0.11 in the rainy season and 0.54 ± 0.11 in the dry season. The top ten 0.5-Mbp windows with the highest percentage of genetic variance explained by SNP markers were found in chromosomes 10 and 23 for both the dry and rainy seasons. Gene network analyses allowed the identification of genes involved with biological processes relevant to immune system functions (TREM1, TREM2, and CD83). Gene-transcription factors network a... Mostrar Tudo |
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Palavras-Chave: |
Breed of origin; Gene network; Gir × Holstein crossbred. |
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Thesaurus NAL: |
Genetic variance. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03793naa a2200397 a 4500
001 2101869
005 2023-01-24
008 2018 bl uuuu u00u1 u #d
024 7 $a10.3168/jds.2017-14223$2DOI
100 1 $aOTTO, P. I.
245 $aGenome-wide association studies for tick resistance in Bos taurus × Bos indicus crossbred cattle$bA deeper look into this intricate mechanism.$h[electronic resource]
260 $c2018
520 $aABSTRACT Rhipicephalus (Boophilus) microplus is the main cattle ectoparasite in tropical areas. Gir × Holstein crossbred cows are well adapted to different production systems in Brazil. In this context, we performed genome-wide association study (GWAS) and post-GWAS analyses for R. microplus resistance in an experimental Gir × Holstein F2 population. Single nucleotide polymorphisms (SNP) identified in GWAS were used to build gene networks and to investigate the breed of origin for its alleles. Tick artificial infestations were performed during the dry and rainy seasons. Illumina BovineSNP50 BeadChip (Illumina Inc., San Diego, CA) and single-step BLUP procedure was used for GWAS. Post-GWAS analyses were performed by gene ontology terms enrichment and gene transcription factors networks, generated from enriched transcription factors, identified from the promoter sequences of selected gene sets. The genetic origin of marker alleles in the F2 population was assigned using the breed of origin of alleles approach. Heritability estimates for tick counts were 0.40 ± 0.11 in the rainy season and 0.54 ± 0.11 in the dry season. The top ten 0.5-Mbp windows with the highest percentage of genetic variance explained by SNP markers were found in chromosomes 10 and 23 for both the dry and rainy seasons. Gene network analyses allowed the identification of genes involved with biological processes relevant to immune system functions (TREM1, TREM2, and CD83). Gene-transcription factors network allowed the identification of genes involved with immune functions (MYO5A, TREML1, and PRSS16). In resistant animals, the average proportion of animals showing significant SNPs with paternal and maternal alleles originated from Gir breed was 44.8% whereas the proportion of animals with both paternal and maternal alleles originated from Holstein breed was 11.3%. Susceptible animals showing both paternal and maternal alleles originated from Holstein breed represented 44.6% on average, whereas both paternal and maternal alleles originated from Gir breed animals represented 9.3%. This study allowed us to identify candidate genes for tick resistance in Gir × Holstein crossbreds in both rainy and dry seasons. According to the origin of alleles analysis, we found that most animals classified as resistant showed 2 alleles from Gir breed, while the susceptible ones showed alleles from Holstein. Based on these results, the identified genes may be thoroughly investigated in additional experiments aiming to validate their effects on tick resistance phenotype in cattle.
650 $aGenetic variance
653 $aBreed of origin
653 $aGene network
653 $aGir × Holstein crossbred
700 1 $aGUIMARÃES, S. E. F.
700 1 $aVERARDO, L. L.
700 1 $aAZEVEDO, A. L. S.
700 1 $aVANDENPLAS, J.
700 1 $aSOARES, A. C. C.
700 1 $aSEVILLANO, C. A.
700 1 $aVERONEZE R
700 1 $aPIRES, M. de F. A.
700 1 $aFREITAS, C. de
700 1 $aPRATA, M. C. de A.
700 1 $aFURLONG, J.
700 1 $aVERNEQUE, R. da S.
700 1 $aMARTINS, M. F.
700 1 $aPANETTO, J. C. do C.
700 1 $aCARVALHO, W. A.
700 1 $aGOBO, D. O. R.
700 1 $aSILVA, M. V. G. B.
700 1 $aMACHADO, M. A.
773 $tJournal of Dairy Science$gv. 101, n. 12, p. 11020-11032, 2018.
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