Data curation and cross-instrument variability influence GC-MS-based metabolite profiling of endophytic fungi associated with Moringa oleifera

AIM: This study presents an exploratory assessment of volatile and semi-volatile metabolites produced by endophytic fungi associated with Moringa oleifera using gas chromatography-mass spectrometry (GC-MS), emphasising metabolite occurrence and analytical consistency. METHODS AND RESULTS: Twelve endophytic fungal isolates were recovered from leaf and twig tissues and putatively identified by morphology and internal transcribed spacer (ITS) sequencing. Each isolate was cultivated as a single, unreplicated 1 L shake-flask culture in Sabouraud dextrose broth (28°C, 120 rpm, 12-20 days), and the cell-free broth extracted with an equal volume of n-hexane. Initial spectral matching generated a broad set of compound annotations. Curation removed analytical artefacts, contaminants (including siloxanes and phthalates), and low-confidence identifications, leaving a small set of biologically plausible, tentatively identified metabolites, among them furfuryl alcohol, kojic acid, lauric acid, palmitic acid, and undecylenic acid. Cross-instrument comparison on two GC-MS platforms revealed substantial variability when instrument-specific libraries were used; commercial library matching returned twelve tentatively identified metabolites in one extract and six in the other on the second platform, and none on the first. No compound was recovered on both platforms. CONCLUSION: Metabolite annotation proved highly sensitive to instrument configuration and to the choice of spectral library: the same extracts yielded entirely non-overlapping compound lists on two platforms from the same manufacturer using the same detector type and ionisation energy. These findings highlight the importance of stringent data curation, cautious spectral interpretation, and analytical standardisation in GC-MS-based metabolomics. All assignments are tentative, based on library matching without co-injection of authentic standards.

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Journal
Journal of Applied Microbiology
Published
2026-10-06
DOI
https://doi.org/10.1093/jambio/lxag249
Primary Topic
Microbial Natural Products and Biosynthesis
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article
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article

Data curation and cross-instrument variability influence GC-MS-based metabolite profiling of endophytic fungi associated with Moringa oleifera

Markwo Ali, Dorcas Osei‐Safo, Bekri Melka Abdo, Robert Kingsford-Adaboh et al.
Journal of Applied Microbiology
Microbial Natural Products and Biosynthesis
article

Data curation and cross-instrument variability influence GC-MS-based metabolite profiling of endophytic fungi associated with Moringa oleifera

Markwo Ali, Dorcas Osei‐Safo, Bekri Melka Abdo, Robert Kingsford-Adaboh, Muhammad Iqbal CHOUDHARY, Atia-tul Wahab, Salar Hafez-Ghoran
article en

Abstract

AIM: This study presents an exploratory assessment of volatile and semi-volatile metabolites produced by endophytic fungi associated with Moringa oleifera using gas chromatography-mass spectrometry (GC-MS), emphasising metabolite occurrence and analytical consistency. METHODS AND RESULTS: Twelve endophytic fungal isolates were recovered from leaf and twig tissues and putatively identified by morphology and internal transcribed spacer (ITS) sequencing. Each isolate was cultivated as a single, unreplicated 1 L shake-flask culture in Sabouraud dextrose broth (28°C, 120 rpm, 12-20 days), and the cell-free broth extracted with an equal volume of n-hexane. Initial spectral matching generated a broad set of compound annotations. Curation removed analytical artefacts, contaminants (including siloxanes and phthalates), and low-confidence identifications, leaving a small set of biologically plausible, tentatively identified metabolites, among them furfuryl alcohol, kojic acid, lauric acid, palmitic acid, and undecylenic acid. Cross-instrument comparison on two GC-MS platforms revealed substantial variability when instrument-specific libraries were used; commercial library matching returned twelve tentatively identified metabolites in one extract and six in the other on the second platform, and none on the first. No compound was recovered on both platforms. CONCLUSION: Metabolite annotation proved highly sensitive to instrument configuration and to the choice of spectral library: the same extracts yielded entirely non-overlapping compound lists on two platforms from the same manufacturer using the same detector type and ionisation energy. These findings highlight the importance of stringent data curation, cautious spectral interpretation, and analytical standardisation in GC-MS-based metabolomics. All assignments are tentative, based on library matching without co-injection of authentic standards.

Journal of Applied Microbiology
University of Ghana (GH), University of Karachi (PK), International Center for Chemical and Biological Sciences (PK)
Openalex Percentile: Top 13%
Microbial Natural Products and Biosynthesis
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