Prospecção de marcadores químicos relacionados ao amarelecimento fatal em folhas de Elaeis guineensis utilizando abordagem metabolômica

• Autor(a) principal: Rodrigues Neto, Jorge Candido
• Data de Publicação: 2017
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/7095
• topic: Elaeis guineensis; Metabolômica; Espectrometria de massas; Imagem química; Elaeis guineensis; Metabolomics; Mass spectrometry; Imaging; QUIMICA ANALITICA::INSTRUMENTACAO ANALITICA

Oil palm (Elaeis guineensis) is the world’s major source of vegetable oil and it has been able to adapt to the Brazilian subtropical area. Its growth, largely done in Para, is affected by Fatal Yellowing (FY), a condition that can cause plant’s death and has unknown cause. The aim for this master’s project was to prospect and identify, using a metabolomics approach, possible biomarkers of FY. To accomplish this study, for the first time different transport and extraction methods were evaluated in order to verify the metabolic profile stability in this species. Significant differences were noted and described using a metabolic fingerprinting approach, with ultra high precision liquid chromatography – mass spectrometry (UHPLC-MS) as the chemical analysis and ANOVA simultaneous component analysis (ASCA) as the multivariate statistic tool. After this study, leaves with and without FY symptoms were transported using the previously optimizes protocol, analyzed and five potential biomarkers were identified and related to their metabolic pathways, using PCA as the chemometric tool. Finally, for the first time, the use of advanced analytical techniques as MALDI imaging, which has been highlighted as a powerful tool for identification of chemical compounds present on tissue surface with spatial localization, has been applied to oil palm leaves in order to perform a metabolic screening and search for the previously identified biomarkers. An analytical protocol was established for analysis with and without matrix application, for a wide range mass coverage and one of the possible biomarkers was detected using the matrix-free approach.