Lipo-Chitooligosaccharides Induce Specialized Fungal Metabolite Profiles That Modulate Bacterial Growth

Tomás A. Rush, Joanna Tannous, Matthew J. Lane, Muralikrishnan Gopalakrishnan Meena, Alyssa A. Carrell, Jacob J. Golan, Milton T. Drott, Sylvain Cottaz, Sébastien Fort, Jean Michel Ané, Nancy P. Keller, Dale A. Pelletier, Daniel A. Jacobson, David Kainer, Paul E. Abraham, Richard J. Giannone, Jesse L. Labbé

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Lipo-chitooligosaccharides (LCOs) are historically known for their role as microbial-derived signaling molecules that shape plant symbiosis with beneficial rhizobia or mycorrhizal fungi. Recent studies showing that LCOs are widespread across the fungal kingdom have raised questions about the ecological function of these compounds in organisms that do not form symbiotic relationships with plants. To elucidate the ecological function of these compounds, we investigate the metabolomic response of the ubiquitous human pathogen Aspergillus fumigatus to LCOs. Our metabolomics data revealed that exogenous application of various types of LCOs to A. fumigatus resulted in significant shifts in the fungal metabolic profile, with marked changes in the production of specialized metabolites known to mediate ecological interactions. Using network analyses, we identify specific types of LCOs with the most significant effect on the abundance of known metabolites. Extracts of several LCO-induced metabolic profiles significantly impact the growth rates of diverse bacterial species. These findings suggest that LCOs may play an important role in the competitive dynamics of non-plant-symbiotic fungi and bacteria. This study identifies specific metabolomic profiles induced by these ubiquitously produced chemicals and creates a foundation for future studies into the potential roles of LCOs as modulators of interkingdom competition.

Original languageEnglish
JournalmSystems
Volume7
Issue number6
DOIs
StatePublished - Dec 2022

Funding

This research was funded by the Genomic System Sciences Program, U.S. Department of Energy, Office of Science, Biological and Environmental Research, as part of the Plant-Microbe Interfaces Scientific Focus Area at Oak Ridge National Laboratory (ORNL; http://pmi.ornl.gov; ORNL is managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract DEAC05-00OR22725). To perform the network-theoretic analysis, M.G.M. used the resources of the Oak Ridge Leadership Computing Facility at ORNL, which is supported by the DOE Office of Science under contract number DE-AC05-00OR22725.

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