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Registro Completo |
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Biblioteca(s): |
Embrapa Soja; Embrapa Suínos e Aves. |
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Data corrente: |
11/11/2020 |
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Data da última atualização: |
18/12/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, E.; GRAÇA, J. P. da; PORTO, C.; PRADO, R. M.; HOFFMANN-CAMPO, C. B.; MEYER, M. C.; NUNES, E. de O.; PILAU, E. J. |
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Afiliação: |
Evandro Silva, Universidade Estadual de Maringá, UEM, Maringá, PR.; José Perez da Graça, Universidade Estadual de Maringá, UEM, Maringá, PR.; Carla Porto, Universidade Estadual de Maringá, UEM, Maringá, PR.; Rodolpho Martin do Prado, Universidade Estadual de Maringá, UEM, Maringá, PR.; CLARA BEATRIZ HOFFMANN CAMPO, CNPSO; MAURICIO CONRADO MEYER, CNPSO; ESTELA DE OLIVEIRA NUNES, CNPSA; Eduardo Jorge Pilau, Universidade Estadual de Maringá, UEM, Maringá, PR. |
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Título: |
Unraveling Asian Soybean Rust metabolomics using mass spectrometry and Molecular Networking approach. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Scientific Reports, v. 10, n. 138, 2020. |
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Páginas: |
11 p. |
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DOI: |
10.1038/s41598-019-56782-4 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Asian Soybean Rust (ASR), caused by the biotrophic fungus Phakopsora pachyrhizi, is a devastating disease with an estimated crop yield loss of up to 90%. Yet, there is a nerf of information on the metabolic response of soybean plants to the pathogen Untargeted metabolomics and Global Natural Products Social Molecular Networking platform approach was used to explore soybean metabolome modulation to P. pachyrhizi infection. Soybean plants susceptible to ASR was inoculated with P. pachyrhizi spore suspension and non-inoculated plants were used as controls. Leaves from both groups were collected 14 days post-inoculation and extracted using different extractor solvent mixtures. The extracts were analyzed on an ultra-high performance liquid chromatography system coupled to high-definition electrospray ionization-mass spectrometry. There was a significant production of defense secondary metabolites (phenylpropanoids, terpenoids and flavonoids) when P. pachyrhizi infected soybean plants, such as putatively identified liquiritigenin, coumestrol, formononetin, pisatin, medicarpin, biochanin A, glyoceollidin I, glyoceollidin II, glyoceollin I, glyoceolidin II, glyoceolidin III, glyoceolidin IV, glyoceolidin VI. Primary metabolites (amino acids, peptides and lipids) also were putatively identified. This is the first report using untargeted metabolomics and GNPS-Molecular Networking approach to explore ASR in soybean plants. Our data provide insights into the potential role of some metabolites in the plant resistance to ASR, which could result in the development of resistant genotypes of soybean to P. pachyrhizi, and effective and specific products against the pathogen. MenosAbstract: Asian Soybean Rust (ASR), caused by the biotrophic fungus Phakopsora pachyrhizi, is a devastating disease with an estimated crop yield loss of up to 90%. Yet, there is a nerf of information on the metabolic response of soybean plants to the pathogen Untargeted metabolomics and Global Natural Products Social Molecular Networking platform approach was used to explore soybean metabolome modulation to P. pachyrhizi infection. Soybean plants susceptible to ASR was inoculated with P. pachyrhizi spore suspension and non-inoculated plants were used as controls. Leaves from both groups were collected 14 days post-inoculation and extracted using different extractor solvent mixtures. The extracts were analyzed on an ultra-high performance liquid chromatography system coupled to high-definition electrospray ionization-mass spectrometry. There was a significant production of defense secondary metabolites (phenylpropanoids, terpenoids and flavonoids) when P. pachyrhizi infected soybean plants, such as putatively identified liquiritigenin, coumestrol, formononetin, pisatin, medicarpin, biochanin A, glyoceollidin I, glyoceollidin II, glyoceollin I, glyoceolidin II, glyoceolidin III, glyoceolidin IV, glyoceolidin VI. Primary metabolites (amino acids, peptides and lipids) also were putatively identified. This is the first report using untargeted metabolomics and GNPS-Molecular Networking approach to explore ASR in soybean plants. Our data provide insights into the potential role of ... Mostrar Tudo |
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Palavras-Chave: |
Espectrometria de massa; Ferrugem asiática. |
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Thesagro: |
Ferrugem; Soja. |
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Thesaurus Nal: |
Mass spectrometry; Soybean rust. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02549naa a2200301 a 4500
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008 2020 bl uuuu u00u1 u #d
024 7 $a10.1038/s41598-019-56782-4$2DOI
100 1 $aSILVA, E.
245 $aUnraveling Asian Soybean Rust metabolomics using mass spectrometry and Molecular Networking approach.$h[electronic resource]
260 $c2020
300 $a11 p.
520 $aAbstract: Asian Soybean Rust (ASR), caused by the biotrophic fungus Phakopsora pachyrhizi, is a devastating disease with an estimated crop yield loss of up to 90%. Yet, there is a nerf of information on the metabolic response of soybean plants to the pathogen Untargeted metabolomics and Global Natural Products Social Molecular Networking platform approach was used to explore soybean metabolome modulation to P. pachyrhizi infection. Soybean plants susceptible to ASR was inoculated with P. pachyrhizi spore suspension and non-inoculated plants were used as controls. Leaves from both groups were collected 14 days post-inoculation and extracted using different extractor solvent mixtures. The extracts were analyzed on an ultra-high performance liquid chromatography system coupled to high-definition electrospray ionization-mass spectrometry. There was a significant production of defense secondary metabolites (phenylpropanoids, terpenoids and flavonoids) when P. pachyrhizi infected soybean plants, such as putatively identified liquiritigenin, coumestrol, formononetin, pisatin, medicarpin, biochanin A, glyoceollidin I, glyoceollidin II, glyoceollin I, glyoceolidin II, glyoceolidin III, glyoceolidin IV, glyoceolidin VI. Primary metabolites (amino acids, peptides and lipids) also were putatively identified. This is the first report using untargeted metabolomics and GNPS-Molecular Networking approach to explore ASR in soybean plants. Our data provide insights into the potential role of some metabolites in the plant resistance to ASR, which could result in the development of resistant genotypes of soybean to P. pachyrhizi, and effective and specific products against the pathogen.
650 $aMass spectrometry
650 $aSoybean rust
650 $aFerrugem
650 $aSoja
653 $aEspectrometria de massa
653 $aFerrugem asiática
700 1 $aGRAÇA, J. P. da
700 1 $aPORTO, C.
700 1 $aPRADO, R. M.
700 1 $aHOFFMANN-CAMPO, C. B.
700 1 $aMEYER, M. C.
700 1 $aNUNES, E. de O.
700 1 $aPILAU, E. J.
773 $tScientific Reports$gv. 10, n. 138, 2020.
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Registro original: |
Embrapa Soja (CNPSO) |
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