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Registros recuperados : 412 | |
161. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | FERREIRA, C. N.; SIMÕES, M. da R. S.; MINHO, A. P.; CARDOSO, F. F.; YOKOO, M. J. I. Acurácias das predições do valor genético para a característica OPG estimadas com e sem o uso da genômica em Brangus. In: SIMPÓSIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA PECUÁRIA SUL, 8., 2018, Bagé. Resumos... Bagé: Embrapa Pecuária Sul, 2018. p. 9. (Embrapa Pecuária Sul. Eventos técnicos & científicos, 1). Fernando Flores Cardoso, Daniel Portella Montardo, José Carlos Ferrugem Moraes, Marcos Flávio Silva Borba, Sandro da Silva Camargo, editores técnicos. Biblioteca(s): Embrapa Pecuária Sul. |
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163. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | MOTA, R. R.; SILVA, F. F.; LOPES, P. S.; TEMPELMAN, R. J.; SOLLERO, B. P.; AGUILAR, I.; CARDOSO, F. F. Analyses of reaction norms reveal new chromosome regions associated with tick resistance in cattle. Animal, v. 12, n. 2, p. 205-214, Feb. 2018. Biblioteca(s): Embrapa Pecuária Sul. |
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165. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | RODRIGUES, P. F.; MENEZES, L. de M.; AZAMBUJA, R. C. C. de; SILVEIRA, I. D. B. da; CARDOSO, F. F. Parâmetros da curva de lactação de vacas de corte de diferentes genótipos. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 49., 2012, Brasília. A produção animal no mundo em transformação: anais. Brasília, DF: SBZ, 2012. 1 CD-ROM. Biblioteca(s): Embrapa Pecuária Sul. |
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166. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | NUNES, M. H. G.; AZAMBUJA, R. C. de C. de; SEVERO, L. K.; RODRIGUES, P. F.; CARDOSO, F. F. Peso, medidas e relação dos cortes da carcaça de novilhos de corte de diferentes genótipos criados no sul do Brasil. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 8., 2010, Maringá. Melhoramento animal no Brasil: uma visão crítica. Maringá: SBMA, 2010. 1 CD-ROM. Biblioteca(s): Embrapa Pecuária Sul. |
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167. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SANTANA JÚNIOR, M. L.; ELER, J. P.; CARDOSO, F. F.; ALBUQUERQUE, L. G.; FERRAZ, J. B. S. Phenotypic plasticity of composite beef cattle performance using reaction norms model with unknown covariate. Animal, Cambridge, v. 7, n. 2, p. 202-210, Feb. 2013. Firstview article 27 set. 2012. Biblioteca(s): Embrapa Pecuária Sul. |
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168. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | COBUCI, J. A.; COSTA, C. N.; CARDOSO, F. F.; BRACCINI NETO, J.; AMBROSINI, D. P.; NAZIAZENO, N. A. Estimação da sensibilidade ambiental do mérito genético para produção de leite usando modelo de norma de reação. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 10., 2013, Uberaba. Anais... Viçosa: Sociedade Brasileira de Melhoramento Animal, 2013. Biblioteca(s): Embrapa Gado de Leite; Embrapa Pecuária Sul. |
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170. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | MATTAR, M.; ALENCAR, M. M. de; CARDOSO, F. F.; FERRAUDO, A. S.; SILVA, L. O. C.; ESPASADIN, A. C. Effect of sire-cluster interaction on genetic values for eighteen month weight of Canchim cattle. In: WORLD CONFERENCE ANIMAL PRODUCTION, 10., 2008, Cape Town. Abstracts... Cape Town: WAAP: SASAS, Wageningen Academic, 2008. p.41. Biblioteca(s): Embrapa Pecuária Sudeste. |
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172. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | LEMES, J. S.; NUNES, M. H. G.; FERREIRA, F. R.; TEIXEIRA, B. B. M.; NALERIO, E. S.; CARDOSO, F. F. Beef sensory evaluation from steers of different genotypes. Revista Argentina de Producción Animal, Buenos Aires, v. 31, suppl. 1, p. 135, 2011. Trabalho apresentado em: CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL, 34.; JOINT MEETING ASAS-AAPA, 1., 2011, Mar del Plata. Biblioteca(s): Embrapa Pecuária Sul. |
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174. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | MENDONÇA, F. S.; MACNEIL, M. D.; LEAL, W. S.; AZAMBUJA, R. C. C.; RODRIGUES, P. F.; CARDOSO, F. F. Crossbreeding effects on growth and efficiency in beef cow-calf systems: evaluation of Angus, Caracu, Hereford and Nelore breed direct, maternal and heterosis effects. Translational Animal Science, v. 3, n. 4, p. 1286-1295, July 2019. Biblioteca(s): Embrapa Pecuária Sul. |
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175. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | FREITAS, D. S. de; CAMARGO, S. da S.; COMIN, H. B.; DOMINGUES, R.; GASPAR, E. B.; CARDOSO, F. F. Diagnostico automático de ceratoconjuntivite infecciosa bovina por meio de imagens termográficas e deep learning. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 12., 2019, Indaiatuba. Anais... Ponta Grossa: SBIAGRO, 2019. p. 172-174. Organizadores: Maria Fernanda Moura, Jayme Garcia Arnal Barbedo, Alaine Margarete Guimarães, Valter Castelhano de Oliveira. SBIAgro 2019. Biblioteca(s): Embrapa Pecuária Sul. |
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176. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | MENDONÇA, F. S.; MACNEIL, M. D.; NALERIO, E. S.; CARDOSO, L. L.; GIONGO, C.; CARDOSO, F. F. Breed direct, maternal and heteros is effects due to Angus, Caracu, Hereford and Nelore on carcass and meat quality traits of cull cows. Livestock Science, v. 243, 104374, Jan. 2021. Biblioteca(s): Embrapa Pecuária Sul. |
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177. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SANTANA JUNIOR, M. L.; ELER, J. P.; CARDOSO, F. F.; ALBUQUERQUE, L. G.; BIGNARDI, A. B.; FERRAZ, J. B. S. Genotype by environment interaction for birth and weaning weights of composite beef cattle in different regions of Brazil Livestock Production Science, Amsterdam, v. 149, n. 3, p. 242-249, Nov. 2012. Biblioteca(s): Embrapa Pecuária Sul. |
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178. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SANTANA JUNIOR, M. L.; BIGNARDI, A. B.; ELER, J. P.; CARDOSO, F. F.; FERRAZ, J. B. S. Genotype by environment interaction and model comparison for growth traits of Santa Ines sheep. Journal of Animal Breeding and Genetics, Berlin, DE, v. 130, n. 5, p. 394-403, Oct. 2013. Publicado online em 24 jan. 2013. Biblioteca(s): Embrapa Pecuária Sul. |
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180. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | MATTAR, M.; ALENCAR, M. M. de; CARDOSO, F. F.; FERRAUDO, A. S.; SILVA, L. O. C. da; ESPASADIN, A. C. Genotype-environment interaction for eighteen month weightof Canchim cattle in São Paulo State, Brazil In: WORLD CONFERENCE ANIMAL PRODUCTION, 10., 2008, Cape Town. Abstracts... Cape Town: WAAP: SASAS, Wageningen Academic, 2008. p.40. Biblioteca(s): Embrapa Pecuária Sudeste. |
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Registros recuperados : 412 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Gado de Leite. |
Data corrente: |
06/12/2011 |
Data da última atualização: |
24/01/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
GOZZO, V. C.; OKURA, V. K.; FONSECA, I.; MARTINS, M. F.; CARDOSO, F. F.; GIACHETTO, P. F. |
Afiliação: |
VINÍCIUS CAMPIDELLI GOZZO, Unicamp/CNPTIA; VAGNER KATSUMI OKURA, Unicamp; ISABELA FONSECA, UFV; MARTA FONSECA MARTINS, CNPGL; FERNANDO FLORES CARDOSO, CPPSUL; POLIANA FERNANDA GIACHETTO, CNPTIA. |
Título: |
Identification of mechanisms involved in mastitis response by means of gene network building. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 7.; INTERNATIONAL CONFERENCE OF THE IBEROAMERICAN SOCIETY FOR BIOINFORMATICS, 3., 2011, Florianópolis. Proceedings... Florianópolis: Associação Brasileira de Bioinformática e Biologia Computacional, 2011. |
Páginas: |
Não paginado. |
Idioma: |
Inglês |
Notas: |
X-MEETING 2011. |
Conteúdo: |
Mastitis, an inflammation of the mammary gland, is the most prevalent and costly production disease in dairy herds worldwide. It is caused generally by bacteria and accounts for a significant decrease in milk production and quality. One promising approach to reduce problems caused by mastitis, in addition to sanitary care, is the selection of animals resistant to disease and the incorporation of this trait into the herds. Therefore, studies to better understand the mechanisms involved in animal response to this disease are essential to the proposition of new advances in area. In this context, the aim of this study was to identify groups of genes involved in cow response to mastitis infection, through gene network building from microarray data. Gene expression data from the GeneChipâ Bovine Genome Array (Affymetrix) hybridization with milk somatic cells samples from Holstein-Zebu crossbreed dairy cows, obtained before (B) and 24 hrs after (A) artificial infection with Staphylococcus agalactiae, were analyzed using a network building methodology based on gene co-expression. We used WGCNA (Weighted Gene Co-expression Analysis), a systems biology method for describing the correlation patterns among genes across microarray samples, that can be used for finding clusters (modules) of highly correlated genes to identify modules of co-expressed genes, which may correspond to functionally related genes. By comparing two networks (between contrasting data sets), conserved and non-conserved modules can be identified. This strategy, named differential network analysis, aims to identify genes groups that are both differentially expressed and differentially connected, and changes in connectivity may correspond to large-scale rewiring, in response to environmental changes and/or physiologic perturbations. Two microarray data sets, B (n=5) and A (n=5), were preprocessed using affy and gcrma R/Bioconductor packages. A filter was applied, which resulted in the use of only those transcripts present in all samples. Gene co-expression networks were identified separately for each group (B and A), by the R/WGCNA package. Gene networks were compared between the two groups, and non-conserved modules were uncovered from a correlation test of the connectivity values. Our analysis identified a total of 17 modules of co-expressed genes, three of them, designed by the colors grey (n=35), blue (n=37) and turquoise (n=192), non-conserved between the groups. Using Blast2GO for enrichment analysis, we find the molecular function Protein Binding overrepresented in all three modules. However, in despite of the same molecular function, each one of the modules showed distinct characteristcs. Genes of grey module (BTG3, CD3E, MBD1, CHIC2, PLXNA3, MOCS3, NEIL1, VPS45, BCL2) were related to apoptosis and antigen recognition. Genes of turquoise module were enriched in inflammation mediators, including known mastitis marker genes (FGL1, GJA1, F2RL1, PTPRF, S100A2, TGFB2). The blue one uncovered genes involved in cell division and inflammatory response (CD97, MAD2L1, ZFP106, CDKN2C, LOC514364, NOP14, PCBD1, LOC100139798, AP1S1, EDN1, IL1B, ANXA11). Our study identified some mechanisms (represented by gene modules) that have changed in cows in early response to mastitis infection. Further analysis are being carried out, based on these results, to advance the understanding of animals response to the disease, which can lead to identify the candidate genes that could be used in breeding programs. MenosMastitis, an inflammation of the mammary gland, is the most prevalent and costly production disease in dairy herds worldwide. It is caused generally by bacteria and accounts for a significant decrease in milk production and quality. One promising approach to reduce problems caused by mastitis, in addition to sanitary care, is the selection of animals resistant to disease and the incorporation of this trait into the herds. Therefore, studies to better understand the mechanisms involved in animal response to this disease are essential to the proposition of new advances in area. In this context, the aim of this study was to identify groups of genes involved in cow response to mastitis infection, through gene network building from microarray data. Gene expression data from the GeneChipâ Bovine Genome Array (Affymetrix) hybridization with milk somatic cells samples from Holstein-Zebu crossbreed dairy cows, obtained before (B) and 24 hrs after (A) artificial infection with Staphylococcus agalactiae, were analyzed using a network building methodology based on gene co-expression. We used WGCNA (Weighted Gene Co-expression Analysis), a systems biology method for describing the correlation patterns among genes across microarray samples, that can be used for finding clusters (modules) of highly correlated genes to identify modules of co-expressed genes, which may correspond to functionally related genes. By comparing two networks (between contrasting data sets), conserved and non-conse... Mostrar Tudo |
Palavras-Chave: |
Evolution and phylogeny; Expressão gênica; Mastite. |
Thesaurus NAL: |
Gene expression; genomics; Mastitis; sequence analysis. |
Categoria do assunto: |
-- S Ciências Biológicas |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/49479/1/mastitis.pdf
|
Marc: |
LEADER 04550nam a2200277 a 4500 001 1908744 005 2020-01-24 008 2011 bl uuuu u00u1 u #d 100 1 $aGOZZO, V. C. 245 $aIdentification of mechanisms involved in mastitis response by means of gene network building. 260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 7.; INTERNATIONAL CONFERENCE OF THE IBEROAMERICAN SOCIETY FOR BIOINFORMATICS, 3., 2011, Florianópolis. Proceedings... Florianópolis: Associação Brasileira de Bioinformática e Biologia Computacional$c2011 300 $aNão paginado. 500 $aX-MEETING 2011. 520 $aMastitis, an inflammation of the mammary gland, is the most prevalent and costly production disease in dairy herds worldwide. It is caused generally by bacteria and accounts for a significant decrease in milk production and quality. One promising approach to reduce problems caused by mastitis, in addition to sanitary care, is the selection of animals resistant to disease and the incorporation of this trait into the herds. Therefore, studies to better understand the mechanisms involved in animal response to this disease are essential to the proposition of new advances in area. In this context, the aim of this study was to identify groups of genes involved in cow response to mastitis infection, through gene network building from microarray data. Gene expression data from the GeneChipâ Bovine Genome Array (Affymetrix) hybridization with milk somatic cells samples from Holstein-Zebu crossbreed dairy cows, obtained before (B) and 24 hrs after (A) artificial infection with Staphylococcus agalactiae, were analyzed using a network building methodology based on gene co-expression. We used WGCNA (Weighted Gene Co-expression Analysis), a systems biology method for describing the correlation patterns among genes across microarray samples, that can be used for finding clusters (modules) of highly correlated genes to identify modules of co-expressed genes, which may correspond to functionally related genes. By comparing two networks (between contrasting data sets), conserved and non-conserved modules can be identified. This strategy, named differential network analysis, aims to identify genes groups that are both differentially expressed and differentially connected, and changes in connectivity may correspond to large-scale rewiring, in response to environmental changes and/or physiologic perturbations. Two microarray data sets, B (n=5) and A (n=5), were preprocessed using affy and gcrma R/Bioconductor packages. A filter was applied, which resulted in the use of only those transcripts present in all samples. Gene co-expression networks were identified separately for each group (B and A), by the R/WGCNA package. Gene networks were compared between the two groups, and non-conserved modules were uncovered from a correlation test of the connectivity values. Our analysis identified a total of 17 modules of co-expressed genes, three of them, designed by the colors grey (n=35), blue (n=37) and turquoise (n=192), non-conserved between the groups. Using Blast2GO for enrichment analysis, we find the molecular function Protein Binding overrepresented in all three modules. However, in despite of the same molecular function, each one of the modules showed distinct characteristcs. Genes of grey module (BTG3, CD3E, MBD1, CHIC2, PLXNA3, MOCS3, NEIL1, VPS45, BCL2) were related to apoptosis and antigen recognition. Genes of turquoise module were enriched in inflammation mediators, including known mastitis marker genes (FGL1, GJA1, F2RL1, PTPRF, S100A2, TGFB2). The blue one uncovered genes involved in cell division and inflammatory response (CD97, MAD2L1, ZFP106, CDKN2C, LOC514364, NOP14, PCBD1, LOC100139798, AP1S1, EDN1, IL1B, ANXA11). Our study identified some mechanisms (represented by gene modules) that have changed in cows in early response to mastitis infection. Further analysis are being carried out, based on these results, to advance the understanding of animals response to the disease, which can lead to identify the candidate genes that could be used in breeding programs. 650 $aGene expression 650 $agenomics 650 $aMastitis 650 $asequence analysis 653 $aEvolution and phylogeny 653 $aExpressão gênica 653 $aMastite 700 1 $aOKURA, V. K. 700 1 $aFONSECA, I. 700 1 $aMARTINS, M. F. 700 1 $aCARDOSO, F. F. 700 1 $aGIACHETTO, P. F.
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