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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Ocidental; Embrapa Meio Ambiente; Embrapa Pesca e Aquicultura; Embrapa Semiárido. |
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Data corrente: |
25/05/2020 |
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Data da última atualização: |
20/10/2020 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
COSTA, P. da; COSTA, J. R. da; SILVA, A. P. da; CAVALCANTE, A. C. R.; WANDELLI, E. V.; TAVARES, E. D.; BIANCHINI, F.; BELTRAO, S. L. L. |
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Afiliação: |
PATRICIA DA COSTA, CNPMA; JOANNE REGIS DA COSTA, CPAA; ADRIANO PRYSTHON DA SILVA, CNPASA; ANA CLARA RODRIGUES CAVALCANTE, CNPC; ELISA VIEIRA WANDELLI, CPAA; EDSON DIOGO TAVARES, CPATC; FABRICIO BIANCHINI, CPATSA; SELMA LUCIA LIRA BELTRAO, SIN. |
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Título: |
Poverty and development. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
In: COSTA, P. da; COSTA, J. R. da; WANDELLI, E. V.; BIANCHINI, F.; TAVARES, E. D. (Ed.). No poverty: contributions of Embrapa. Brasília, DF: Embrapa, 2020. |
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Páginas: |
p. 11-17. |
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Série: |
(Sustainable Development Goals, 1). |
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ISBN: |
978-65-86056-03-7 |
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Idioma: |
Inglês |
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Conteúdo: |
Science and technology are essential for sustainable development. Knowledge can generate changes in current patterns of development and contribute to poverty eradication. Science and its constant evolution have become a key resource for the generation of wealth, the reduction of social inequalities, and the improvement of quality of life in all its dimensions. In this context, Embrapa has dedicated resources for innovative studies in the areas of family farming, agribusiness, food security, fisheries, soil and water resources conservation, among others. Several more efficient technologies, such as improved cultivars and adapted production systems, are being developed and presented to Brazilian society. |
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Palavras-Chave: |
Desigualdade social; Erradicação da pobreza. |
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Thesagro: |
Agricultura Familiar; Desenvolvimento Sustentável; Pobreza; Segurança Alimentar. |
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Thesaurus Nal: |
Poverty; Rural poverty. |
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Categoria do assunto: |
B Sociologia Rural |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216862/1/Costa-Poverty-development-2020.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214737/1/Poverty-and-development-2020.pdf
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Marc: |
LEADER 01751naa a2200337 a 4500
001 2125704
005 2020-10-20
008 2020 bl uuuu u00u1 u #d
020 $a978-65-86056-03-7
100 1 $aCOSTA, P. da
245 $aPoverty and development.$h[electronic resource]
260 $c2020
300 $ap. 11-17.
490 $a(Sustainable Development Goals, 1).
520 $aScience and technology are essential for sustainable development. Knowledge can generate changes in current patterns of development and contribute to poverty eradication. Science and its constant evolution have become a key resource for the generation of wealth, the reduction of social inequalities, and the improvement of quality of life in all its dimensions. In this context, Embrapa has dedicated resources for innovative studies in the areas of family farming, agribusiness, food security, fisheries, soil and water resources conservation, among others. Several more efficient technologies, such as improved cultivars and adapted production systems, are being developed and presented to Brazilian society.
650 $aPoverty
650 $aRural poverty
650 $aAgricultura Familiar
650 $aDesenvolvimento Sustentável
650 $aPobreza
650 $aSegurança Alimentar
653 $aDesigualdade social
653 $aErradicação da pobreza
700 1 $aCOSTA, J. R. da
700 1 $aSILVA, A. P. da
700 1 $aCAVALCANTE, A. C. R.
700 1 $aWANDELLI, E. V.
700 1 $aTAVARES, E. D.
700 1 $aBIANCHINI, F.
700 1 $aBELTRAO, S. L. L.
773 $tIn: COSTA, P. da; COSTA, J. R. da; WANDELLI, E. V.; BIANCHINI, F.; TAVARES, E. D. (Ed.). No poverty: contributions of Embrapa. Brasília, DF: Embrapa, 2020.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
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Origem |
Tipo/Formato |
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Cutter |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
14/06/2018 |
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Data da última atualização: |
14/06/2018 |
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Autoria: |
BRAGA, P. A. C.; GONÇALVES, J. L.; BARREIRO, J. R.; FERREIRA, C. R.; TOMAZI, T.; EBERLIN, M. N.; SANTOS, M. V. |
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Afiliação: |
Patrícia A. C. Braga, Laboratório Thomson de Espectrometria de Massas, Instituto de Química, Universidade Estadual de Campinas - Unicamp; Juliano L. Gonçalves, Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo - USP; Juliana R. Barreiro, Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo - USP; Christina R. Ferreira, Laboratório Thomson de Espectrometria de Massas, Instituto de Química, Universidade Estadual de Campinas - Unicamp; Tiago Tomazi, Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo - USP; Marcos N. Eberlin, Laboratório Thomson de Espectrometria de Massas, Instituto de Química, Universidade Estadual de Campinas - Unicamp; Marcos V. Santos, Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo - USP. |
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Título: |
Rapid identification of bovine mastitis pathogens by MALDI-TOF Mass Spectrometry. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 38, n. 4, p. 586-594, abril 2018 |
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Idioma: |
Inglês |
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Notas: |
Título em português: Rápida identificação de agentes causadores de mastite por espectrometria de massas MALDI-TOF. |
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Conteúdo: |
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been shown to be an alternative method for identification of bacteria via their protein profile spectra, being able to identify bacteria at the genus, species and even at subspecies level. With the aim of large-scale identification of pathogens causing mastitis by this platform, a total of 305 isolates of bacteria identified from cows with subclinical mastitis were analyzed by conventional microbiological culture (MC) as well as by MALDI-TOF MS coupled with Biotyper data processing. Approximately 89% of the identifications performed by MALDI-TOF MS were consistent with results obtained by MC. From the remaining isolates (11%), 6.3% of isolates were classified as misidentified (discordance for both genus and species level), and 4.7% showed identification agreement at the genus level but not at the species level, being classified as unidentified at species level. The disagreement results were mostly associated with identification of Streptococcus and Enterococcus species probably due to the narrow phenotypic similarity between these two genera. These disagreement results suggest that biochemical assays might be prone to identification errors and, MALDI-TOF MS therefore may be an alternative to overcome incorrect species-specific identification. Standard microbiological methods for bovine mastitis diagnosis are time consuming, laborious and prone to errors for some bacteria genera. In our study, we showed that MALDI-TOF MS coupled with Biotyper may be an alternative method for large-scale identification of bacteria isolated from milk samples compared to classical microbiological routine protocols. MenosMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been shown to be an alternative method for identification of bacteria via their protein profile spectra, being able to identify bacteria at the genus, species and even at subspecies level. With the aim of large-scale identification of pathogens causing mastitis by this platform, a total of 305 isolates of bacteria identified from cows with subclinical mastitis were analyzed by conventional microbiological culture (MC) as well as by MALDI-TOF MS coupled with Biotyper data processing. Approximately 89% of the identifications performed by MALDI-TOF MS were consistent with results obtained by MC. From the remaining isolates (11%), 6.3% of isolates were classified as misidentified (discordance for both genus and species level), and 4.7% showed identification agreement at the genus level but not at the species level, being classified as unidentified at species level. The disagreement results were mostly associated with identification of Streptococcus and Enterococcus species probably due to the narrow phenotypic similarity between these two genera. These disagreement results suggest that biochemical assays might be prone to identification errors and, MALDI-TOF MS therefore may be an alternative to overcome incorrect species-specific identification. Standard microbiological methods for bovine mastitis diagnosis are time consuming, laborious and prone to errors for some bacteria genera. I... Mostrar Tudo |
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Palavras-Chave: |
Espectrometria de massas; Identificação rápida; MALDI-TOF MS; Mastite subclínica; Perfil proteico; Rapid identification; Subclinical mastitis. |
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Thesagro: |
Bacteriose; Bovino; Mamite. |
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Thesaurus NAL: |
Bovine mastitis; Cattle; Mass spectrometry; Pathogens; Peptide mapping. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/178661/1/Rapid-identification-of-bovine-mastitis.pdf
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Marc: |
LEADER 02926naa a2200385 a 4500
001 2092505
005 2018-06-14
008 2018 bl uuuu u00u1 u #d
100 1 $aBRAGA, P. A. C.
245 $aRapid identification of bovine mastitis pathogens by MALDI-TOF Mass Spectrometry.$h[electronic resource]
260 $c2018
500 $aTítulo em português: Rápida identificação de agentes causadores de mastite por espectrometria de massas MALDI-TOF.
520 $aMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been shown to be an alternative method for identification of bacteria via their protein profile spectra, being able to identify bacteria at the genus, species and even at subspecies level. With the aim of large-scale identification of pathogens causing mastitis by this platform, a total of 305 isolates of bacteria identified from cows with subclinical mastitis were analyzed by conventional microbiological culture (MC) as well as by MALDI-TOF MS coupled with Biotyper data processing. Approximately 89% of the identifications performed by MALDI-TOF MS were consistent with results obtained by MC. From the remaining isolates (11%), 6.3% of isolates were classified as misidentified (discordance for both genus and species level), and 4.7% showed identification agreement at the genus level but not at the species level, being classified as unidentified at species level. The disagreement results were mostly associated with identification of Streptococcus and Enterococcus species probably due to the narrow phenotypic similarity between these two genera. These disagreement results suggest that biochemical assays might be prone to identification errors and, MALDI-TOF MS therefore may be an alternative to overcome incorrect species-specific identification. Standard microbiological methods for bovine mastitis diagnosis are time consuming, laborious and prone to errors for some bacteria genera. In our study, we showed that MALDI-TOF MS coupled with Biotyper may be an alternative method for large-scale identification of bacteria isolated from milk samples compared to classical microbiological routine protocols.
650 $aBovine mastitis
650 $aCattle
650 $aMass spectrometry
650 $aPathogens
650 $aPeptide mapping
650 $aBacteriose
650 $aBovino
650 $aMamite
653 $aEspectrometria de massas
653 $aIdentificação rápida
653 $aMALDI-TOF MS
653 $aMastite subclínica
653 $aPerfil proteico
653 $aRapid identification
653 $aSubclinical mastitis
700 1 $aGONÇALVES, J. L.
700 1 $aBARREIRO, J. R.
700 1 $aFERREIRA, C. R.
700 1 $aTOMAZI, T.
700 1 $aEBERLIN, M. N.
700 1 $aSANTOS, M. V.
773 $tPesquisa Veterinária Brasileira, Rio de Janeiro$gv. 38, n. 4, p. 586-594, abril 2018
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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