Abstract
Fungi produce a wealth of pharmacologically bioactive secondary metabolites (SMs) from biosynthetic gene clusters (BGCs). It is common practice for drug discovery efforts to treat species’ secondary metabolomes as being well represented by a single or a small number of representative genomes. However, this approach misses the possibility that intraspecific population dynamics, such as adaptation to environmental conditions or local microbiomes, may harbor novel BGCs that contribute to the overall niche breadth of species. Using 94 isolates of Aspergillus flavus, a cosmopolitan model fungus, sampled from seven states in the United States, we dereplicate 7,821 BGCs into 92 unique BGCs. We find that more than 25% of pangenomic BGCs show population-specific patterns of presence/absence or protein divergence. Population-specific BGCs make up most of the accessory-genome BGCs, suggesting that different ecological forces that maintain accessory genomes may be partially mediated by population-specific differences in secondary metabolism. We use ultra-high-performance high-resolution mass spectrometry to confirm that these genetic differences in BGCs also result in chemotypic differences in SM production in different populations, which could mediate ecological interactions and be acted on by selection. Thus, our results suggest a paradigm shift that previously unrealized population-level reservoirs of SM diversity may be of significant evolutionary, ecological, and pharmacological importance. Last, we find that several population-specific BGCs from A. flavus are present in Aspergillus parasiticus and Aspergillus minisclerotigenes and discuss how the microevolutionary patterns we uncover inform macroevolutionary inferences and help to align fungal secondary metabolism with existing evolutionary theory.
Original language | English |
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Article number | e2021683118 |
Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 118 |
Issue number | 21 |
DOIs | |
State | Published - May 25 2021 |
Funding
ACKNOWLEDGMENTS. This project was supported by US Department of Agriculture, National Institute of Food and Agriculture Postdoctoral Fellowship Award 2019-67012-29662 to M.T.D. This research was performed using the computational resources and assistance of the University of Wisconsin– Madison Center for High Throughput Computing in the Department of Computer Sciences. Work performed by J.M.S. and N.L.G. was supported by a grant from the Innovative Genomics Institute, University of California Berkeley. This work has been performed in collaboration with J.L.L., T.A.R., R.J.G., and P.E.A., supported by the Genomic Science Program, US Department of Energy, Office of Science, Biological and Environmental Research as part of the Plant Microbe Interfaces Scientific Focus Area (https://pmi.ornl. gov/). Oak Ridge National Laboratory is managed by UT-Battelle LLC, for the US Department of Energy under Contract DE-AC05-00OR22725.
Funders | Funder number |
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Plant Microbe Interfaces Scientific Focus Area | |
U.S. Department of Energy | |
U.S. Department of Agriculture | |
National Institute of Food and Agriculture | 2019-67012-29662 |
Office of Science | |
Biological and Environmental Research | |
Oak Ridge National Laboratory | |
University of California Berkeley | |
Innovative Genomics Institute | |
UT-Battelle | DE-AC05-00OR22725 |
Keywords
- Secondary metabolism
- allopatric speciation
- comparative genomics
- eukaryotic pangenome
- population genomics