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A Combination of Genome Mining with an OSMAC Approach Facilitates the Discovery of and Contributions to the Biosynthesis of Melleolides from the Basidiomycete <i>Armillaria tabescens</i>

17

Citations

59

References

2022

Year

Abstract

Genome mining revealed that the genomes of basidiomycetes may include a considerable number of biosynthetic gene clusters (BGCs), yet numerous clusters remain unidentified. Herein, we report a combination of genome mining with an OSMAC (one strain, many compounds) approach to characterize the spectrum of melleolides produced by <i>Armillaria tabescens</i> CPCC 401429. Using F1 fermentation medium, the metabolic pathway of the gene cluster <i>mel</i> was successfully upregulated. From the extracts of the wild-type strain, two new melleolides (<b>1</b> and <b>2</b>), along with five new orsellinic acid-derived lactams (<b>10</b>-<b>14</b>), were isolated, and their structures were elucidated by LC-HR-ESIMS/MS and 2D-NMR. Several melleolides exhibited moderate anti-carcinoma (A549, NCI-H520, and H1299) effects with IC<sub>50</sub> values of 4.0-48.8 μM. RNA-sequencing based transcriptomic profiling broadened our knowledge of the genetic background, regulation, and mechanisms of melleolide biosynthesis. These results may promote downstream metabolic engineering studies of melleolides. Our study demonstrates the approach is effective for discovering new secondary metabolites from <i>Armillaria</i> sp. and will facilitate the mining of the unexploited biosynthetic potential in other basidiomycetes.

References

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