Fungal artificial chromosomes for mining of the fungal secondary metabolome
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Updated: Aug 1, 2026
Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
Published on: March 12, 2020
Jin Woo Bok1, Rosa Ye2,3, Kenneth D Clevenger4
1Department of Medical Microbiology and Immunology and Bacteriology, University of Wisconsin at Madison, Madison, WI, USA. jwbok@facstaff.wisc.edu.
Background:
With thousands of fungal genomes being sequenced, each genome containing up to 70 secondary metabolite (SM) clusters 30-80 kb in size, breakthrough techniques are needed to characterize this SM wealth.
Results:
Here we describe a novel system-level methodology for unbiased cloning of intact large SM clusters from a single fungal genome for one-step transformation and expression in a model host. All 56 intact SM clusters from Aspergillus terreus were individually captured in self-replicating fungal artificial chromosomes (FACs) containing both the E. coli F replicon and an Aspergillus autonomously replicating sequence (AMA1). Candidate FACs were successfully shuttled between E. coli and the heterologous expression host A. nidulans. As proof-of-concept, an A. nidulans FAC strain was characterized in a novel liquid chromatography-high resolution mass spectrometry (LC-HRMS) and data analysis pipeline, leading to the discovery of the A. terreus astechrome biosynthetic machinery.
Conclusion:
The method we present can be used to capture the entire set of intact SM gene clusters and/or pathways from fungal species for heterologous expression in A. nidulans and natural product discovery.
