Optimization of metabolite extraction protocols for untargeted metabolite profiling of mycoparasitic scytalidium parasiticum using LC-TOF-MS

Choon Kiat Lim, Nurul Fadhilah Marzuki, Yit Kheng Goh, You Keng Goh, Kah Joo Goh, Rafidah Ahmad, Kamalrul Azlan Azizan

Research output: Contribution to journalArticle

Abstract

Basal stem rot disease of oil palm caused by Ganoderma boninense is one of the most devastating diseases in oil palm plantation resulting in low yield, loss of palm stands and shorter replanting cycle. To-date, there is no effective treatment for Ganoderma infected palms. Control measures, either chemical or cultural approaches, show varying degrees of effectiveness. The application of biological control agents which is environmental-friendly could be an attractive solution to overcome the problem. Earlier, we had isolated a mycoparasite, Scytalidium parasiticum, from the basidiomata of Ganoderma boninense. In vitro assay and nursery experiment showed that this fungus could suppress Ganoderma infection and reduce disease severity. However, metabolites which might contribute to the antagonistic or mycoparasitic effect remain unknown. In the current study, optimization of fungal sample processing, extraction, and analytical procedures were conducted to obtain metabolites from the maize substrate colonized by mycoparasitic ascomycetous Scytalidium parasiticum. This technique capable of producing sexual spores in sac-like organs. Untargeted metabolomics profiling was carried out by using Liquid Chromatography Time of Flight Mass Spectrometry (LC-ToF-MS). We found that S. parasiticum in both liquid- and solid-state cultivation gave higher metabolite when extracted with 60% methanol with 1% formic acid in combination with homogenisation methods such as ultrasonication and grinding. The findings from this study are useful for optimisation of metabolite extraction from other fungi-Ganoderma-plant interactions.

Original languageEnglish
Pages (from-to)3061-3068
Number of pages8
JournalSains Malaysiana
Volume47
Issue number12
DOIs
Publication statusPublished - Dec 2018

Fingerprint

Scytalidium
Ganoderma
metabolites
Elaeis guineensis
mycoparasites
basidiomata
stem rot
fungi
formic acid
metabolomics
grinding
homogenization
disease severity
liquid chromatography
biological control agents
control methods
methanol
spores
plantations
mass spectrometry

Keywords

  • Biocontrol agent
  • Ganoderma boninense
  • LC-ToF-MS
  • Metabolomics
  • Oil palm

ASJC Scopus subject areas

  • General

Cite this

Optimization of metabolite extraction protocols for untargeted metabolite profiling of mycoparasitic scytalidium parasiticum using LC-TOF-MS. / Lim, Choon Kiat; Marzuki, Nurul Fadhilah; Goh, Yit Kheng; Goh, You Keng; Goh, Kah Joo; Ahmad, Rafidah; Azlan Azizan, Kamalrul.

In: Sains Malaysiana, Vol. 47, No. 12, 12.2018, p. 3061-3068.

Research output: Contribution to journalArticle

Lim, Choon Kiat ; Marzuki, Nurul Fadhilah ; Goh, Yit Kheng ; Goh, You Keng ; Goh, Kah Joo ; Ahmad, Rafidah ; Azlan Azizan, Kamalrul. / Optimization of metabolite extraction protocols for untargeted metabolite profiling of mycoparasitic scytalidium parasiticum using LC-TOF-MS. In: Sains Malaysiana. 2018 ; Vol. 47, No. 12. pp. 3061-3068.
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