Coniontins, lipopetaibiotics active against Candida auris identified from a microbial natural product fractionation library

The rise of drug-resistant fungal pathogens, including Candida auris, highlights the urgent need for innovative antifungal therapies. We have developed a cost-effective platform combining microbial extract prefractionation with rapid mass spectrometry-bioinformatics-based dereplication to efficiently prioritize previously uncharacterized antifungal scaffolds. Screening C. auris and Candida albicans reveals coniotins, lipopeptaibiotics isolated from Coniochaeta hoffmannii, which are undetectable in crude extracts. Coniotins exhibits potent activity against critical priority fungal pathogens listed by the World Health Organization, including C. albicans, Cryptococcus neoformans, multidrug-resistant Candida auris, and Aspergillus fumigatus, with high selectivity and low resistance potential. Coniotin A targets beta-glucan, compromising fungal cell wall integrity, remodelling, and sensitizing C. auris to caspofungin. Identification of its hybrid polyketide synthase-nonribosomal peptide synthetase biosynthetic gene cluster facilitates discovering structurally diverse lipopeptaibiotics. Here, we show that natural product prefractionation enables the discovery of previously hidden bioactive scaffolds and introduces coniotins as candidates for combating multidrug-resistant fungal pathogens.

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Publication Details

Journal
Nature Communications
Published
2025-08-08
DOI
https://doi.org/10.1038/s41467-025-62630-z
Citations
1
Primary Topic
Microbial Natural Products and Biosynthesis
Type
article
Field-Weighted Citation Impact
1.39

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article

Coniontins, lipopetaibiotics active against Candida auris identified from a microbial natural product fractionation library

David Sychantha, Dirk Hackenberger, Gerard D. Wright, Nicole Robbins et al.
1 citations
Nature Communications
Microbial Natural Products and Biosynthesis
1.39
article

Coniontins, lipopetaibiotics active against Candida auris identified from a microbial natural product fractionation library

David Sychantha, Dirk Hackenberger, Gerard D. Wright, Nicole Robbins, Allison K. Guitor, Kalinka Koteva, Daniel Pallant, Xuefei Chen, Leah E. Cowen, Lesley T. MacNeil, Eric D. Brown, Sommer Chou, Shawn French, Yunjin Lee, Michael A. Cook
article en
1 citations

Abstract

The rise of drug-resistant fungal pathogens, including Candida auris, highlights the urgent need for innovative antifungal therapies. We have developed a cost-effective platform combining microbial extract prefractionation with rapid mass spectrometry-bioinformatics-based dereplication to efficiently prioritize previously uncharacterized antifungal scaffolds. Screening C. auris and Candida albicans reveals coniotins, lipopeptaibiotics isolated from Coniochaeta hoffmannii, which are undetectable in crude extracts. Coniotins exhibits potent activity against critical priority fungal pathogens listed by the World Health Organization, including C. albicans, Cryptococcus neoformans, multidrug-resistant Candida auris, and Aspergillus fumigatus, with high selectivity and low resistance potential. Coniotin A targets beta-glucan, compromising fungal cell wall integrity, remodelling, and sensitizing C. auris to caspofungin. Identification of its hybrid polyketide synthase-nonribosomal peptide synthetase biosynthetic gene cluster facilitates discovering structurally diverse lipopeptaibiotics. Here, we show that natural product prefractionation enables the discovery of previously hidden bioactive scaffolds and introduces coniotins as candidates for combating multidrug-resistant fungal pathogens.

Nature CommunicationsVol. 16(1)
University of Toronto (CA), Population Health Research Institute (CA), McMaster University (CA)
Foundation for the National Institutes of Health, Canadian Institute for Advanced Research, McMaster University, Canada Research Chairs, University of Toronto, National Institutes of Health, Canadian Institutes of Health Research
Openalex Percentile: Top 17%
Microbial Natural Products and Biosynthesis
1.39
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