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| 6. |  | ALVES, L. V. F. V.; MORAES, M. F. de; MALDANER JÚNIOR, P. I.; BATISTA, M. E. P.; ROCHA, M. de M. Estratégias de adubação com zinco em cultivares de feijão-caupi. In: CONGRESSO NACIONAL DE FEIJÃO-CAUPI, 4., 2016, Sorriso. Feijão-caupi: avanços e desafios tecnológicos e de mercados: resumos. Brasília, DF: Embrapa, 2016. p. 30| Biblioteca(s): Embrapa Meio-Norte. |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja; Embrapa Suínos e Aves. |
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Data corrente: |
22/04/2021 |
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Data da última atualização: |
12/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
SILVA, E.; GRAÇA, J. P. da; PORTO, C.; PRADO, R. M. do; NUNES, E. de O.; MARCELINO-GUIMARÃES, F. C.; MEYER, M. C.; PILAU, E. J. |
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Afiliação: |
EVANDRO SILVA, Universidade Estadual de Londrina, UEM, Maringá, PR.; JOSÉ PEREZ DA GRAÇA, UEM, universidade Estadual de Maringá, Maringá, PR.; CARLA PORTO, Universidade Estadual de Maringá, UEM, PR.; RODOLPHO MARTIN DO PRADO, Universidade Estadual de Maringá, UEM, Maringá, PR.; ESTELA DE OLIVEIRA NUNES, CNPSA; FRANCISMAR CORREA MARCELINO GUIMARA, CNPSO; MAURICIO CONRADO MEYER, CNPSO; EDUARDO JORGE PILAU, Universidade Estaduala de Maringá, UEM, Maringá, PR. |
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Título: |
Untargeted metabolomics analysis by UHPLC-MS/MS of soybean plant in a compatible response to Phakopsora pachyrhizi infection. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Metabolites, v. 11, n. 3, 179, 2021. |
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Páginas: |
15 p. |
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DOI: |
10.3390/metabo11030179 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Phakopsora pachyrhizi is a biotrophic fungus, causer of the disease Asian Soybean Rust, a severe crop disease of soybean and one that demands greater investment from producers. Thus, research efforts to control this disease are still needed. We investigated the expression of metabolites in soybean plants presenting a resistant genotype inoculated with P. pachyrhizi through the untargeted metabolomics approach. The analysis was performed in control and inoculated plants with P. pachyrhizi using UHPLC-MS/MS. Principal component analysis (PCA) and the partial least squares discriminant analysis (PLS-DA), was applied to the data analysis. PCA and PLS-DA resulted in a clear separation and classification of groups between control and inoculated plants. The metabolites were putative classified and identified using the Global Natural Products Social Molecular Networking platform in flavonoids, isoflavonoids, lipids, fatty acyls, terpenes, and carboxylic acids. Flavonoids and isoflavonoids were up-regulation, while terpenes were down-regulated in response to the soybean?P. pachyrhizi interaction. Our data provide insights into the potential role of some metabolites as flavonoids and isoflavonoids in the plant resistance to ASR. This information could result in the development of resistant genotypes of soybean to P. pachyrhizi, and effective and specific products against the pathogen. |
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Palavras-Chave: |
Asian soybean rust; GNPS; Metabolômica; Quimiometria; UHPLC-MS / MS. |
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Thesagro: |
Ferrugem; Phakopsora Pachyrhizi; Soja. |
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Thesaurus NAL: |
Chemometrics; Metabolomics. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225019/1/final9664.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222820/1/metabolites-11-00179-v2.pdf
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|
Marc: |
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024 7 $a10.3390/metabo11030179$2DOI
100 1 $aSILVA, E.
245 $aUntargeted metabolomics analysis by UHPLC-MS/MS of soybean plant in a compatible response to Phakopsora pachyrhizi infection.$h[electronic resource]
260 $c2021
300 $a15 p.
520 $aAbstract: Phakopsora pachyrhizi is a biotrophic fungus, causer of the disease Asian Soybean Rust, a severe crop disease of soybean and one that demands greater investment from producers. Thus, research efforts to control this disease are still needed. We investigated the expression of metabolites in soybean plants presenting a resistant genotype inoculated with P. pachyrhizi through the untargeted metabolomics approach. The analysis was performed in control and inoculated plants with P. pachyrhizi using UHPLC-MS/MS. Principal component analysis (PCA) and the partial least squares discriminant analysis (PLS-DA), was applied to the data analysis. PCA and PLS-DA resulted in a clear separation and classification of groups between control and inoculated plants. The metabolites were putative classified and identified using the Global Natural Products Social Molecular Networking platform in flavonoids, isoflavonoids, lipids, fatty acyls, terpenes, and carboxylic acids. Flavonoids and isoflavonoids were up-regulation, while terpenes were down-regulated in response to the soybean?P. pachyrhizi interaction. Our data provide insights into the potential role of some metabolites as flavonoids and isoflavonoids in the plant resistance to ASR. This information could result in the development of resistant genotypes of soybean to P. pachyrhizi, and effective and specific products against the pathogen.
650 $aChemometrics
650 $aMetabolomics
650 $aFerrugem
650 $aPhakopsora Pachyrhizi
650 $aSoja
653 $aAsian soybean rust
653 $aGNPS
653 $aMetabolômica
653 $aQuimiometria
653 $aUHPLC-MS / MS
700 1 $aGRAÇA, J. P. da
700 1 $aPORTO, C.
700 1 $aPRADO, R. M. do
700 1 $aNUNES, E. de O.
700 1 $aMARCELINO-GUIMARÃES, F. C.
700 1 $aMEYER, M. C.
700 1 $aPILAU, E. J.
773 $tMetabolites$gv. 11, n. 3, 179, 2021.
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Registro original: |
Embrapa Suínos e Aves (CNPSA) |
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