Shedding light on Aspergillus niger volatile exometabolome

Area of Science:

• Microbiology
• Analytical Chemistry
• Metabolomics

Background:

• Aspergillus niger is a ubiquitous fungus with significant industrial and clinical relevance.
• Understanding its volatile organic compound (VOC) profile is crucial for metabolomic studies and fungal detection.
• Previous studies have explored fungal VOCs, but a comprehensive biomarker pattern for A. niger remains to be fully established.

Purpose of the Study:

• To comprehensively analyze the headspace volatile fraction of Aspergillus niger under various growth conditions.
• To establish a molecular biomarker pattern for A. niger.
• To develop a method for distinguishing A. niger from other fungal species using its unique volatile profile.

Main Methods:

• Advanced multidimensional gas chromatography was employed to analyze headspace volatiles.
• 428 volatile compounds were putatively identified and categorized into chemical families.
• Partial Least Squares-Discriminant Analysis (PLS-DA) and PLS-DA-Variable Importance in Projection (VIP) were utilized for data analysis and biomarker selection.

Main Results:

• A consistent pattern of 44 A. niger molecular biomarkers was identified across all tested growth conditions.
• This biomarker pattern successfully differentiated A. niger from Candida albicans and Penicillium chrysogenum after 3 days of growth.
• The application of PLS-DA-VIP reduced the distinguishing metabolite set to 16 key compounds, enhancing data processing efficiency and model accuracy.

Conclusions:

• A robust molecular biomarker pattern for Aspergillus niger was established based on its headspace volatile profile.
• This pattern provides a foundation for the accurate and efficient detection and identification of A. niger.
• The findings contribute to the ongoing construction of the A. niger metabolome and offer potential for future diagnostic applications.