(368c) Heterologous Expression of Anaerobic Gut Fungal Secondary Metabolites in Model Fungal Hosts | AIChE

(368c) Heterologous Expression of Anaerobic Gut Fungal Secondary Metabolites in Model Fungal Hosts

Authors 

Butkovich, L. - Presenter, University of California Santa Barbara
O'Malley, M., University of California-Santa Barbara
Swift, C., University of California Santa Barbara
Bowen, B. P., Lawrence Berkeley National Laboratory
Louie, K., Lawrence Berkeley National Laboratory
Northen, T., Joint BioEnergy Institute
Mewalal, R., Lawrence Berkeley National Laboratory
Cheng, J. F., Lawrence Berkeley National Laboratory
Yoshikuni, Y., Lawrence Berkeley National Laboratory
Bok, J. W., University of Wisconsin, Madison
Keller, N., University of Wisconsin-Madison
Okorafor, I., UCLA
Tang, Y., University of California, Los Angeles
Research Interests

Synthetic Biology, Drug Discovery and Development, Bioinformatics/Omics, Microbial Engineering, Natural Product Discovery

Anaerobic gut fungi (phylum Neocallimastigomycota) are a relatively unexplored source of secondary metabolite natural products. Originating from the complex gut microbiomes of large herbivores, these fungi potentially produce secondary metabolites to compete with the more abundant gut bacteria. Genome mining of four anaerobic gut fungal strains predicts approximately 150 secondary metabolite biosynthetic gene clusters, forming sequence-homologous groups for 18 polyketide synthases (PKSs) and 16 nonribosomal peptide synthetases (NRPSs). To investigate these genes, we compared heterologous expression of about 30 plasmids (representing 6 gut fungal PKSs and 6 gut fungal NRPSs) between two model, fungal hosts: Saccharomyces cerevisiae and Aspergillus nidulans. Culture samples were screened for putative secondary metabolite products using untargeted liquid chromatography with tandem mass spectrometry (LC-MS/MS). Additionally, successful heterologous expression of desired biosynthetic enzymes was determined via proteomics. Notably, host A. nidulans secondary metabolism was activated in some expression samples, as indicated by the detection of compounds, including the siderophore pistillarin and the alkaloid camptothecin, putatively identified as known Aspergillus secondary metabolites by MS/MS matching. Across expression samples, LC-MS/MS data analysis tools generated a list of potential secondary metabolite hits to pursue for isolation and structural characterization. Overall, this work presents a pipeline for studying fungal secondary metabolites biosynthetic genes and identifies areas for improvement in existing expression platforms.