HPTLC-Based Chemical Profiling: An Approach to Monitor Plant Metabolic Expansion Caused by Fungal Endophytes
| Autor: | Young Hae Choi, Özlem Erol, Cees A. M. J. J. van den Hondel, Hye Kyong Kim, Peter G. L. Klinkhamer, Luis Francisco Salomé-Abarca |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Endocrinology Diabetes and Metabolism lcsh:QR1-502 fungal selection metabolic differentiation chemical diversity antifungal activity Alstonia scholaris 01 natural sciences Biochemistry lcsh:Microbiology Article 03 medical and health sciences Metabolomics Biotransformation Botany Plant defense against herbivory High performance thin layer chromatography Molecular Biology biology Apocynaceae 010401 analytical chemistry Euphorbiaceae biology.organism_classification 0104 chemical sciences 030104 developmental biology Euphorbia myrsinites |
| Zdroj: | Metabolites Metabolites, 11(3) Metabolites, Vol 11, Iss 174, p 174 (2021) Metabolites; Volume 11; Issue 3; Pages: 174 |
| ISSN: | 2218-1989 |
| Popis: | Fungal endophytes isolated from two latex bearing species were chosen as models to show their potential to expand their host plant chemical diversity. Thirty-three strains were isolated from Alstonia scholaris (Apocynaceae) and Euphorbia myrsinites (Euphorbiaceae). High performance thin layer chromatography (HPTLC) was used to metabolically profile samples. The selected strains were well clustered in three major groups by hierarchical clustering analysis (HCA) of the HPTLC data, and the chemical profiles were strongly correlated with the strains’ colony size. This correlation was confirmed by orthogonal partial least squares (OPLS) modeling using colony size as “Y” variable. Based on the multivariate data analysis of the HPTLC data, the fastest growing strains of each cluster were selected and used for subsequent experiments: co-culturing to investigate interactions between endophytes-phytopathogens, and biotransformation of plant metabolites by endophytes. The strains exhibited a high capacity to fight against fungal pathogens. Moreover, there was an increase in the antifungal activity after being fed with host-plant metabolites. These results suggest that endophytes play a role in plant defense mechanisms either directly or by biotransformation/induction of metabolites. Regarding HPTLC-based metabolomics, it has proved to be a robust approach to monitor the interactions among fungal endophytes, the host plant and potential phytopathogens. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|