Hildah Amutuhaire, Michael Dubovis, Ivan Plyushchenko, Judith Kraut-Cohen, Tal Luzzatto-Knaan, Jonathan Friedman, Eddie Cytryn
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引用次数: 0
Abstract
Fungal phytopathogens pose a persistent threat to global crop production, and widespread use of fungicides has driven resistance development and environmental concerns, necessitating sustainable alternatives. Actinomycetes produce diverse bioactive metabolites, yet natural product discovery has disproportionately focused on Streptomyces, leaving rare actinomycete taxa underexplored. Saccharomonospora xinjiangensis XJ-54 is a rare actinomycete exhibiting antifungal activity against Fusarium phytopathogens, including Fusarium oxysporum f. sp. cucumerinum (FORC), and harbors numerous biosynthetic gene clusters (BGCs) whose products remain uncharacterized. However, as in many rare actinomycetes, BGCs may be transcriptionally silent under standard laboratory conditions, and their expression dynamics remain poorly understood. To elucidate the molecular basis of antifungal activity in S. xinjiangensis XJ-54, we integrated genomic, transcriptomic, and metabolomic analyses. Cell-free supernatants inhibited FORC after 5 days of fermentation, with activity increasing by day 7. Time-resolved RNA sequencing demonstrated that all genomically identified BGCs were transcriptionally active but exhibited distinct growth-phase-dependent expression patterns, with approximately half upregulated during exponential growth and the remainder following transition to stationary phase. We observed temporal variations in transcriptional coupling between cluster-specific regulators and biosynthetic genes. Liquid chromatography-mass spectrometry-based metabolomics showed growth-phase-dependent metabolite shifts, including stationary phase accumulation of secoiridoid-like monoterpenoids, N-acyl amines, and alkaloids (imidazoles, pyridines, and indoles), correlating with the observed antifungal phenotype. Bioactivity-guided fractionation subsequently yielded an active fraction containing a predicted halogenated alkaloid that induced hyphal damage in FORC. These findings indicate that antifungal activity in S. xinjiangensis XJ-54 arises from temporally coordinated biosynthetic programs, providing a framework for optimizing growth conditions and prioritizing BGCs for functional characterization.IMPORTANCEThe discovery of new antifungal compounds is critical for sustainable agriculture, yet most natural product research has focused on a narrow range of well-studied microorganisms. Rare actinomycetes represent an untapped reservoir of chemical diversity, but their biosynthetic potential often remains hidden. By integrating time-resolved transcriptomics with metabolomics, we show that the rare actinomycete Saccharomonospora xinjiangensis XJ-54 produces antifungal metabolites through temporally coordinated biosynthetic programs. Contrary to the prevailing assumption that the majority of biosynthetic gene clusters (BGCs) are silent, all BGCs in this strain showed detectable transcriptional activity under standard laboratory conditions, with expression patterns that were strongly growth-phase dependent. These findings provide a framework for linking gene cluster expression to metabolite production and bioactivity, enabling more rational prioritization of BGCs and optimization of cultivation strategies. More broadly, this work provides a roadmap for unlocking the biosynthetic potential of rare actinomycetes and accelerating the discovery of antifungal natural products relevant to sustainable crop protection.
mSystemsBiochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍:
mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.