Citation
Abstract
An approach to metabolomics profiling of non-infected and Ganoderma boninense (G. boninsense) infected oil palm roots crude extracts that utilize gas chromatography-mass spectrometry (GC–MS) and multivariate statistics of principal component analysis (PCA) have been tested. This combination has provided a rapid approach in investigating the changes in the metabolite variations of non-infected and infected oil palm roots at 14 and 30 days post-infection. The extracts were prepared by using 80% (v/v) of methanol. In identifying the metabolites responsible for each differentiation, PCA model was generated in loading bi-plot. Dimethyl benzene-1,4-dicarboxylate, methyl 3-(3,5-ditert-butyl-4-hydroxyphenyl)propanoate, ergost-5-en-3-ol, (3β), stigmast-5-en-3-ol, (3β), stigmasterol, methyl hexadecanoate, methyl (9Z,12Z)-octadeca-9,12-dienoate, methyl octadecanoate, 2-(hydroxymethyl)-2-nitropropane-1,3-diol, methyl (Z)-octadec-6-enoate and (E)-icos-5-ene were found more abundant in G. boninense infected roots than in non-infected roots. Steroidal compounds and fatty acid derivatives which has been determined in the non-infected and G. boninense infected roots regulate a variety of responses to the G. boninense. The abundant of these metabolites in G. boninense infected roots are due to the crucial roles in pathogen defence.
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Science Institute of Advanced Technology Institute of Bioscience Institute of Plantation Studies |
DOI Number: | https://doi.org/10.1016/j.arabjc.2020.05.026 |
Publisher: | Elsevier |
Keywords: | Ganoderma boninense; GC–MSMetabolomics; Oil palm roots; Principal component analysis |
Depositing User: | Mohamad Jefri Mohamed Fauzi |
Date Deposited: | 09 Nov 2021 08:58 |
Last Modified: | 09 Nov 2021 08:58 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.arabjc.2020.05.026 |
URI: | http://psasir.upm.edu.my/id/eprint/86730 |
Statistic Details: | View Download Statistic |
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