Untargeted Metabolomics Analysis by UHPLC-MS/MS of Soybean Plant in a Compatible Response to Phakopsora pachyrhizi Infection
Autor: | Carla Porto, Evandro Silva, Maurício Conrado Meyer, Rodolpho Martin do Prado, Estela de Oliveira Nunes, José Perez da Graça, Eduardo Jorge Pilau, Francismar Corrêa Marcelino-Guimarães |
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Přispěvatelé: | 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. |
Rok vydání: | 2021 |
Předmět: |
Quimiometria
GNPS 0106 biological sciences 0301 basic medicine Soja Endocrinology Diabetes and Metabolism lcsh:QR1-502 Fungus Asian soybean rust soybean metabolomics UHPLC-MS/MS chemometrics Phakopsora pachyrhizi 01 natural sciences Biochemistry lcsh:Microbiology Phakopsora Pachyrhizi Terpene 03 medical and health sciences Metabolomics Genotype Metabolômica Food science Chemometrics Molecular Biology Pathogen biology Inoculation fungi food and beverages biology.organism_classification 030104 developmental biology Untargeted metabolomics UHPLC-MS / MS Ferrugem 010606 plant biology & botany |
Zdroj: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA Metabolites; Volume 11; Issue 3; Pages: 179 Metabolites, Vol 11, Iss 179, p 179 (2021) |
ISSN: | 2218-1989 |
Popis: | 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. Made available in DSpace on 2021-08-10T19:01:50Z (GMT). No. of bitstreams: 1 final9664.pdf: 4950533 bytes, checksum: 485399b4661fadb94be1ccd188a45c04 (MD5) Previous issue date: 2021 |
Databáze: | OpenAIRE |
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