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Detection of phytosterols in Ganoderma boninense-infected oil palm seedlings through GC-MS analysis.


S. A. , Nusaibah and Abdullah, Siti Nor Akmar and Zakaria, Mohamad Pauzi and A. S., Idris and Meon, Sariah (2011) Detection of phytosterols in Ganoderma boninense-infected oil palm seedlings through GC-MS analysis. Journal of Oil Palm Research, 23 (-). pp. 1069-1077. ISSN 1511-2780


Ganoderma boninense is a fungus known to be pathogenic to oil palm. It causes the basal stem rot (BSR) and upper stem rot (USR) diseases. This study shows that the interaction between Ganoderma and oil palm produced many secondary metabolites including sterol compounds revealed by gas chromatography-mass spectrometry (GC-MS) analysis. The roots of progenies were artificially infected with G. boninense and subjected to metabolite extraction. A total of 13 sterol compounds and two tocopherols were identified from the root extracts of both tolerant and susceptible oil palm seedlings. The main sterol compounds identified were sitosterol, stigmasterol, campesterol and ergostenol. The GC-MS library, namely NIST 08, Wiley 229 and comparison of fragmentation patterns of the mass spectra reported in literature made it possible to identify the sterol components present in the root extracts. The results indicate that the number and level of sterol compounds induced in infected palms were significantly higher than in uninfected seedlings. Variations in the type and level of compounds detected were also observed between infected tolerant and susceptible progenies. This study provides information that relates sterols and tocopherol (antioxidant) compounds to the oil palm defence mechanism against G. boninense.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Environmental Studies
Institute of Tropical Agriculture
Publisher: Malaysian Palm Oil Board
Keywords: Oil palm; Ganoderma boninense; Sterol compounds; GC-MS; Defense mechanisms.
Depositing User: Nur Farahin Ramli
Date Deposited: 12 Dec 2013 03:30
Last Modified: 18 Feb 2016 02:56
URI: http://psasir.upm.edu.my/id/eprint/23582
Statistic Details: View Download Statistic

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