AI Article Synopsis

  • Lichen-forming fungi produce diverse natural products with medicinal properties, but their application in industry is limited due to the lack of knowledge about the genes responsible for these compounds.
  • A long-read sequencing and bioinformatics approach was employed to identify the biosynthetic gene cluster for gyrophoric acid (GA) across nine GA-producing species, revealing that the gene cluster is versatile and conserved only in a few key genes.
  • The findings indicate that different but structurally similar compounds are produced from the same biosynthetic cluster, highlighting potential pathways for biotechnological applications and drug discovery from lichen-derived compounds.

Article Abstract

Natural products of lichen-forming fungi are structurally diverse and have a variety of medicinal properties. Despite this, they have limited implementation in industry mostly because the corresponding genes are unknown for most of their natural products. Here, we implement a long-read sequencing and bioinformatic approach to identify the putative biosynthetic gene cluster of the bioactive natural product gyrophoric acid (GA). Using 15 high-quality genomes representing nine GA-producing species of the lichen-forming fungal genus , we identify the most likely GA cluster and investigate the cluster gene organization and composition across the nine species. Our results show that GA clusters are promiscuous within , and only three genes are conserved across species, including the polyketide synthase () gene. In addition, our results suggest that the same cluster codes for different, but structurally similar compounds, namely, GA, umbilicaric-, and hiascic acid, bringing new evidence that lichen metabolite diversity is also generated through regulatory mechanisms at the molecular level. Ours is the first study to identify the most likely GA cluster and, thus, provides essential information to open new avenues for biotechnological approaches to producing and modifying GA and similar lichen-derived compounds. GA PKS is the first tridepside PKS to be identified. The implementation of natural products in the pharmaceutical industry relies on the possibility of modifying the natural product (NP) pathway to optimize yields and pharmacological effects. Characterization of genes and pathways underlying natural product biosynthesis is a major bottleneck for exploiting the medicinal properties of the natural products. Genome mining is a promising and relatively cost- and time-effective approach to utilize unexplored NP resources for drug discovery. In this study, we identify the most likely gene cluster for the lichen-forming fungal depside gyrophoric acid in nine species. This compound shows cytotoxic and antiproliferative properties against several cancer cell lines and is also a broad-spectrum antimicrobial agent. This information paves the way for generating GA analogs with modified properties by selective activation/deactivation of genes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9430680PMC
http://dx.doi.org/10.1128/spectrum.00109-22DOI Listing

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