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Biblioteca(s): |
Embrapa Gado de Corte. |
Data corrente: |
18/12/2018 |
Data da última atualização: |
18/12/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PINHEIRO, A. F.; ROLOFF, B. C.; MOREIRA, A. da S.; BERNE, M. E. A.; ANDREOTTI, R.; LEITE, F. P. L. |
Afiliação: |
Amanda Fernandes Pinheiro, Departamento de Microbiologia e Parasitologia/Instituto de Biologia/Universidade Federal de Pelotas - UFPel; Bárbara Couto Roloff, Núcleo de Tecnologia/Centro de Desenvolvimento Tecnológico/Universidade Federal de Pelotas - UFPel; Angelita da Silveira Moreira, Núcleo de Tecnologia/Centro de Desenvolvimento Tecnológico/Universidade Federal de Pelotas - UFPel; Maria Elisabeth Aires Berne, Departamento de Microbiologia e Parasitologia/Instituto de Biologia/Universidade Federal de Pelotas - UFPel; RENATO ANDREOTTI E SILVA, CNPGC; Fábio Pereira Leivas Leite, Departamento de Microbiologia e Parasitologia/Instituto de Biologia/Universidade Federal de Pelotas – UFPel. |
Título: |
Identification of suitable adjuvant for vaccine formulation with the Neospora caninum antigen NcSRS2. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Vaccine, v. 36, n. 9, p. 1154-1159, February 2018 |
Idioma: |
Inglês |
Conteúdo: |
The parasite Neospora caninum is the main cause of abortion in cattle in many countries around the world, so a vaccine is a rational approach method for the control of the disease. An effective vaccine should be able to prevent both, the horizontal and vertical transmission of N. caninum. In this study, the immune vaccinal response of the recombinant protein rNcSRS2 of N. caninum expressed in Pichia pastoris and formulated with water-in-oil emulsion, xanthan gum, and alum hydroxide was assessed in an experimental murine model. Groups of 10 Balb/c mice were subcutaneously inoculated with two doses of prNcSRS2 twenty-one days apart. After the second immunization, four mice from each group were euthanized, and splenocytes were stimulated ex vivo with recombinant protein. The IgG dynamics were evaluated by indirect ELISA, and the splenocytes cytokines transcription by qPCR. All groups elicited specific antibodies against prNcSRS2, with the water-in-oil group showing significantly (p .05) elevated titers compared to the other groups. The prNcSRS2 protein alone did not induce a significant ex vivo splenic transcription level of IFN-c, TNF-a, IL-4, IL-10, and IL-12 cytokines, except for IL-17A, and the adjuvant associations with the prNcSRS2 protein induced different cytokine transcription profiles. The water-inoil emulsion modulated the expression of TNF-a; the xanthan gum modulated IL-4, IL-10, and IL-12; and alum hydroxide modulated IFN-c, TNF-a, IL-4, IL-10, and IL-12. In conclusion, it was found that the association of the recombinant prNcSRS2 protein with different adjuvants induced different levels of specific antibody, and a distinct splenic cytokine profile in an adjuvant-dependent manner. The mechanisms of adjuvancity activity is complex, so adjuvant formulation may help in the design of efficient vaccine to control Neosporosis. MenosThe parasite Neospora caninum is the main cause of abortion in cattle in many countries around the world, so a vaccine is a rational approach method for the control of the disease. An effective vaccine should be able to prevent both, the horizontal and vertical transmission of N. caninum. In this study, the immune vaccinal response of the recombinant protein rNcSRS2 of N. caninum expressed in Pichia pastoris and formulated with water-in-oil emulsion, xanthan gum, and alum hydroxide was assessed in an experimental murine model. Groups of 10 Balb/c mice were subcutaneously inoculated with two doses of prNcSRS2 twenty-one days apart. After the second immunization, four mice from each group were euthanized, and splenocytes were stimulated ex vivo with recombinant protein. The IgG dynamics were evaluated by indirect ELISA, and the splenocytes cytokines transcription by qPCR. All groups elicited specific antibodies against prNcSRS2, with the water-in-oil group showing significantly (p .05) elevated titers compared to the other groups. The prNcSRS2 protein alone did not induce a significant ex vivo splenic transcription level of IFN-c, TNF-a, IL-4, IL-10, and IL-12 cytokines, except for IL-17A, and the adjuvant associations with the prNcSRS2 protein induced different cytokine transcription profiles. The water-inoil emulsion modulated the expression of TNF-a; the xanthan gum modulated IL-4, IL-10, and IL-12; and alum hydroxide modulated IFN-c, TNF-a, IL-4, IL-10, and IL-12. In concl... Mostrar Tudo |
Thesagro: |
Neospora Caninum. |
Thesaurus Nal: |
Adjuvants; Cytokines; Proteins; Vaccines. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/188808/1/Identification-of-suitable-adjuvant-for-vaccine.pdf
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Marc: |
LEADER 02555naa a2200241 a 4500 001 2101958 005 2018-12-18 008 2018 bl uuuu u00u1 u #d 100 1 $aPINHEIRO, A. F. 245 $aIdentification of suitable adjuvant for vaccine formulation with the Neospora caninum antigen NcSRS2.$h[electronic resource] 260 $c2018 520 $aThe parasite Neospora caninum is the main cause of abortion in cattle in many countries around the world, so a vaccine is a rational approach method for the control of the disease. An effective vaccine should be able to prevent both, the horizontal and vertical transmission of N. caninum. In this study, the immune vaccinal response of the recombinant protein rNcSRS2 of N. caninum expressed in Pichia pastoris and formulated with water-in-oil emulsion, xanthan gum, and alum hydroxide was assessed in an experimental murine model. Groups of 10 Balb/c mice were subcutaneously inoculated with two doses of prNcSRS2 twenty-one days apart. After the second immunization, four mice from each group were euthanized, and splenocytes were stimulated ex vivo with recombinant protein. The IgG dynamics were evaluated by indirect ELISA, and the splenocytes cytokines transcription by qPCR. All groups elicited specific antibodies against prNcSRS2, with the water-in-oil group showing significantly (p .05) elevated titers compared to the other groups. The prNcSRS2 protein alone did not induce a significant ex vivo splenic transcription level of IFN-c, TNF-a, IL-4, IL-10, and IL-12 cytokines, except for IL-17A, and the adjuvant associations with the prNcSRS2 protein induced different cytokine transcription profiles. The water-inoil emulsion modulated the expression of TNF-a; the xanthan gum modulated IL-4, IL-10, and IL-12; and alum hydroxide modulated IFN-c, TNF-a, IL-4, IL-10, and IL-12. In conclusion, it was found that the association of the recombinant prNcSRS2 protein with different adjuvants induced different levels of specific antibody, and a distinct splenic cytokine profile in an adjuvant-dependent manner. The mechanisms of adjuvancity activity is complex, so adjuvant formulation may help in the design of efficient vaccine to control Neosporosis. 650 $aAdjuvants 650 $aCytokines 650 $aProteins 650 $aVaccines 650 $aNeospora Caninum 700 1 $aROLOFF, B. C. 700 1 $aMOREIRA, A. da S. 700 1 $aBERNE, M. E. A. 700 1 $aANDREOTTI, R. 700 1 $aLEITE, F. P. L. 773 $tVaccine$gv. 36, n. 9, p. 1154-1159, February 2018
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Embrapa Gado de Corte (CNPGC) |
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Registro Completo
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
25/10/2023 |
Data da última atualização: |
25/10/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
COSTA-NETO, G.; MATTA, D. H. da; FERNANDES, I. K.; STONE, L. F.; HEINEMANN, A. B. |
Afiliação: |
GERMANO COSTA-NETO, CORNELL UNIVERSITY, Ithaca-NY; DAVID HENRIQUES DA MATTA, UNIVERSIDADE FEDERAL DE GOIÁS; IGOR KUIVJOGI FERNANDES, UNIVERSIDADE FEDERAL DE GOIÁS; LUIS FERNANDO STONE, CNPAF; ALEXANDRE BRYAN HEINEMANN, CNPAF. |
Título: |
Environmental clusters defining breeding zones for tropical irrigated rice in Brazil. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Agronomy Journal, 2023. |
ISSN: |
1435-0645 |
DOI: |
https://doi.org/10.1002/agj2.21481 |
Idioma: |
Inglês |
Notas: |
Early view. |
Conteúdo: |
Geographic and seasonal effects are important in driving selection decisions in rice breeding research. Adopting new strategies for characterizing environmental?phenotype associations is critical to understanding these effects, and the outcomes of their study could reflect the benefits of developing locally adapted cultivars. This study aimed to characterize Brazil's tropical irrigated rice (IR) environment, Latin America's largest rice production system. We integrated unsupervised (K-means clustering) and supervised (decision tree classifier) algorithms to identify environmental clusters (EC) based on historical yield data. The data set included 31 locations and 471 genotypes from 1982 to 2017. We used environmental features (EF), such as weather and geography, as input variables for our analysis, assuming the model as EC ∼ f (EF). Results indicate that the tropical IR production region can be divided into four primary breeding zones, with temperature emerging as a significant factor in the study area. After employing a linear mixed model analysis, we observed that the current relationship between genetics (G), environmental variation (E), and their interaction (G×E) in Brazil's tropical IR has a 1:6:2 ratio. However, when introducing our data-driven model based on EC, we reduced this ratio to 1:5:1. Therefore, the selection for local adaptability across a large region became more reliable. Our approach successfully identified EC in Brazil's tropical production region of IR, providing valuable insights for defining breeding zones and identifying more productive and stable seed production fields. MenosGeographic and seasonal effects are important in driving selection decisions in rice breeding research. Adopting new strategies for characterizing environmental?phenotype associations is critical to understanding these effects, and the outcomes of their study could reflect the benefits of developing locally adapted cultivars. This study aimed to characterize Brazil's tropical irrigated rice (IR) environment, Latin America's largest rice production system. We integrated unsupervised (K-means clustering) and supervised (decision tree classifier) algorithms to identify environmental clusters (EC) based on historical yield data. The data set included 31 locations and 471 genotypes from 1982 to 2017. We used environmental features (EF), such as weather and geography, as input variables for our analysis, assuming the model as EC ∼ f (EF). Results indicate that the tropical IR production region can be divided into four primary breeding zones, with temperature emerging as a significant factor in the study area. After employing a linear mixed model analysis, we observed that the current relationship between genetics (G), environmental variation (E), and their interaction (G×E) in Brazil's tropical IR has a 1:6:2 ratio. However, when introducing our data-driven model based on EC, we reduced this ratio to 1:5:1. Therefore, the selection for local adaptability across a large region became more reliable. Our approach successfully identified EC in Brazil's tropical production region... Mostrar Tudo |
Thesagro: |
Arroz Irrigado; Genótipo; Meio Ambiente; Melhoramento Genético Vegetal; Oryza Sativa; Sistema de Produção. |
Thesaurus NAL: |
Breeding; Climate models; Environmental factors; Genotype; Genotype-environment interaction; Rice; Tropical agriculture. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02650naa a2200361 a 4500 001 2157493 005 2023-10-25 008 2023 bl uuuu u00u1 u #d 022 $a1435-0645 024 7 $ahttps://doi.org/10.1002/agj2.21481$2DOI 100 1 $aCOSTA-NETO, G. 245 $aEnvironmental clusters defining breeding zones for tropical irrigated rice in Brazil.$h[electronic resource] 260 $c2023 500 $aEarly view. 520 $aGeographic and seasonal effects are important in driving selection decisions in rice breeding research. Adopting new strategies for characterizing environmental?phenotype associations is critical to understanding these effects, and the outcomes of their study could reflect the benefits of developing locally adapted cultivars. This study aimed to characterize Brazil's tropical irrigated rice (IR) environment, Latin America's largest rice production system. We integrated unsupervised (K-means clustering) and supervised (decision tree classifier) algorithms to identify environmental clusters (EC) based on historical yield data. The data set included 31 locations and 471 genotypes from 1982 to 2017. We used environmental features (EF), such as weather and geography, as input variables for our analysis, assuming the model as EC ∼ f (EF). Results indicate that the tropical IR production region can be divided into four primary breeding zones, with temperature emerging as a significant factor in the study area. After employing a linear mixed model analysis, we observed that the current relationship between genetics (G), environmental variation (E), and their interaction (G×E) in Brazil's tropical IR has a 1:6:2 ratio. However, when introducing our data-driven model based on EC, we reduced this ratio to 1:5:1. Therefore, the selection for local adaptability across a large region became more reliable. Our approach successfully identified EC in Brazil's tropical production region of IR, providing valuable insights for defining breeding zones and identifying more productive and stable seed production fields. 650 $aBreeding 650 $aClimate models 650 $aEnvironmental factors 650 $aGenotype 650 $aGenotype-environment interaction 650 $aRice 650 $aTropical agriculture 650 $aArroz Irrigado 650 $aGenótipo 650 $aMeio Ambiente 650 $aMelhoramento Genético Vegetal 650 $aOryza Sativa 650 $aSistema de Produção 700 1 $aMATTA, D. H. da 700 1 $aFERNANDES, I. K. 700 1 $aSTONE, L. F. 700 1 $aHEINEMANN, A. B. 773 $tAgronomy Journal, 2023.
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