Your browser doesn't support javascript.
loading
Metabonomics study of interaction mechanism between Dendrobium officinale and Colletotrichum gloeosporioides based on GC-MS / 中草药
Zhongcaoyao ; Zhongcaoyao;(24): 910-918, 2018.
Article em Zh | WPRIM | ID: wpr-852188
Biblioteca responsável: WPRO
ABSTRACT
Objective To investigate the metabolites related to the course of anthracnosis of Dendrobium officinale and its possible mechanism based on the technique of metabonomics, so as to provide theoretical support for the creation or breeding of disease resistant varieties of D. officinale. Methods The normal and infected by Colletotrichum gloeosporioides leaves of D. officinale were collected respectively, and to find out the differential metabolites through the sample pretreatment, GC-MS analysis, and bioinformatics analysis. Then the differential metabolites and analysis of metabolic pathways involved in the course of disease were carried on the preliminary discussion. Results The multidimensional statistical models of each analysis group were successfully established. The dispersion points of VIP > 1.0 were selected as the potential differential materials, combined with P < 0.05 in the analysis of single dimensional Statistics (test) as the standard to verify. A total of 84 differential metabolites screened from 305 identified metabolites were considered to be pathogenesis related metabolites. A total of 34 differential metabolites were found out to be involved in the metabolic pathways through the pathway enrichment analysis, and the obtained ZC-GB metabolic pathways were of significance. Conclusion Based on GC-MS technology, the metabolomics analysis of D. officinale samples (normal/infected) was carried out and the metabolites related to the course of anthracnosis of D. officinale were found out. It could lay the foundation for studying the disease of D. officinale and cultivating resistant varieties on molecular level.
Palavras-chave
Texto completo: 1 Índice: WPRIM Tipo de estudo: Risk_factors_studies Idioma: Zh Revista: Zhongcaoyao Ano de publicação: 2018 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Tipo de estudo: Risk_factors_studies Idioma: Zh Revista: Zhongcaoyao Ano de publicação: 2018 Tipo de documento: Article