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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
17/01/2008 |
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Data da última atualização: |
20/07/2018 |
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Autoria: |
MOURA, G. de S.; OLIVEIRA, M. G. A.; LANNA, E. T. A.; JÚNIOR, A. M.; MACIEL, C. M. R. R. |
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Afiliação: |
Guilherme de Souza Moura, Universidade Federal de Viçosa - UFV/Departamento de Zootecnia; Maria Goreti Almeida Oliveira, Universidade Federal de Viçosa - UFV/Instituto de Biotecnologia Aplicada à Agropecuária; Eduardo Teixeira Arruda Lanna, Universidade Federal de Viçosa - UFV/Departamento de Zootecnia; Alaor Maciel Júnior, Universidade Estadual do Sudoeste da Bahia - UESB/Departamento de Tecnologia Rural e Animal; Cláudia Maria Reis Raposo Maciel, UESB/Departamento de Estudos Básicos e Instrumentais. |
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Título: |
Desempenho e atividade de amilase em tilápias-do-nilo submetidas a diferentes temperaturas |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 42, n. 11, p. 1609-1615, nov. 2007 |
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Idioma: |
Português |
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Notas: |
Título em inglês: Performance and amylase activity in Nile tilapia submitted to different temperatures. |
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Conteúdo: |
O objetivo deste trabalho foi avaliar o desempenho e a atividade de amilase em quimo de tilápias-do-nilo macho, linhagem tailandesa, submetidas a quatro diferentes temperaturas. O experimento foi conduzido em delineamento inteiramente casualizado, com quatro tratamentos (20, 24, 28 e 32oC), seis repetições e dez peixes por unidade experimental. A dieta utilizada foi igual para todos os tratamentos. Aos 55 dias do experimento, o consumo de ração aparente, ganho de peso, conversão alimentar aparente, atividade de amilase e atividade específica da amilase foram avaliados. O consumo de ração aparente e o ganho de peso aumentaram linearmente com o aumento da temperatura. Na conversão alimentar aparente, foi observado efeito quadrático em função da temperatura com melhora na conversão de 1,79 a 1,00 com o aumento da temperatura até 29,15oC. Observou-se efeito linear na atividade da amilase e na atividade específica da amilase em função da temperatura, com maior atividade de amilase e menor atividade específica de amilase a 32oC. A temperatura da água influencia o desempenho e a atividade da amilase em tilápias-do-nilo. |
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Palavras-Chave: |
enzimas; fish physiology; fisiologia de peixes; pisciculture. |
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Thesagro: |
Oreochromis Niloticus; Piscicultura. |
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Thesaurus Nal: |
enzymes. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/106689/1/Desempenho-e-atividade.pdf
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Marc: |
LEADER 02024naa a2200265 a 4500
001 1122831
005 2018-07-20
008 2007 bl uuuu u00u1 u #d
100 1 $aMOURA, G. de S.
245 $aDesempenho e atividade de amilase em tilápias-do-nilo submetidas a diferentes temperaturas
260 $c2007
500 $aTítulo em inglês: Performance and amylase activity in Nile tilapia submitted to different temperatures.
520 $aO objetivo deste trabalho foi avaliar o desempenho e a atividade de amilase em quimo de tilápias-do-nilo macho, linhagem tailandesa, submetidas a quatro diferentes temperaturas. O experimento foi conduzido em delineamento inteiramente casualizado, com quatro tratamentos (20, 24, 28 e 32oC), seis repetições e dez peixes por unidade experimental. A dieta utilizada foi igual para todos os tratamentos. Aos 55 dias do experimento, o consumo de ração aparente, ganho de peso, conversão alimentar aparente, atividade de amilase e atividade específica da amilase foram avaliados. O consumo de ração aparente e o ganho de peso aumentaram linearmente com o aumento da temperatura. Na conversão alimentar aparente, foi observado efeito quadrático em função da temperatura com melhora na conversão de 1,79 a 1,00 com o aumento da temperatura até 29,15oC. Observou-se efeito linear na atividade da amilase e na atividade específica da amilase em função da temperatura, com maior atividade de amilase e menor atividade específica de amilase a 32oC. A temperatura da água influencia o desempenho e a atividade da amilase em tilápias-do-nilo.
650 $aenzymes
650 $aOreochromis Niloticus
650 $aPiscicultura
653 $aenzimas
653 $afish physiology
653 $afisiologia de peixes
653 $apisciculture
700 1 $aOLIVEIRA, M. G. A.
700 1 $aLANNA, E. T. A.
700 1 $aJÚNIOR, A. M.
700 1 $aMACIEL, C. M. R. R.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 42, n. 11, p. 1609-1615, nov. 2007
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Gado de Leite. |
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Data corrente: |
06/12/2011 |
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Data da última atualização: |
24/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GOZZO, V. C.; OKURA, V. K.; FONSECA, I.; MARTINS, M. F.; CARDOSO, F. F.; GIACHETTO, P. F. |
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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. |
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Título: |
Identification of mechanisms involved in mastitis response by means of gene network building. |
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Ano de publicação: |
2011 |
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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. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
X-MEETING 2011. |
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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 |
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Palavras-Chave: |
Evolution and phylogeny; Expressão gênica; Mastite. |
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Thesaurus NAL: |
Gene expression; genomics; Mastitis; sequence analysis. |
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Categoria do assunto: |
--
S Ciências Biológicas |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/49479/1/mastitis.pdf
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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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