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Updated: Jan 15, 2026

From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028
Published on: January 13, 2017
Construction and Diversification of Natural Product Biosynthetic Gene Clusters at High Efficiency and Accuracy
Chaoxian Bai1, Lina M Bayona1, Gilles P van Wezel1
1Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE Leiden, Netherlands.
Abstract:
Biosynthetic gene clusters (BGCs) encode the biosynthesis of natural products, which serve as the foundation for therapeutics such as antibiotics, anticancer agents, antifungals, and immunosuppressants. The vast majority of the BGCs remain uncharacterized due to lack of expression or inability to cultivate the native host, making refactoring and expression of BGCs in optimized hosts a prerequisite for genome-based drug discovery. Transformation-associated recombination (TAR) cloning and Gibson assembly are error prone due to the use of homologous recombination. Here, we present a BGC cloning and refactoring strategy based on a hierarchical Golden Gate Assembly (GGA), which enables systematic pathway engineering and mutagenesis with unprecedented accuracy and efficiency. We constructed the 23 kb actinorhodin (ACT) BGC and 23 mutant derivatives with either one of the act genes inactivated, within the same experiment and with 100% efficiency. Introduction of the BGCs in the ACT-nonproducer Streptomyces coelicolor M1152 revealed that nine genes are essential for ACT production, while inactivation of others led to significant rewiring of the biosynthetic pathway. Global Natural Products Social (GNPS) molecular networking thereby revealed a surprisingly large number of unidentified molecules, significantly expanding the chemical space associated with ACT biosynthesis. Additionally, we refactored the act cluster through promoter engineering and evaluated expression outcomes across multiple Streptomyces strains. Together, our work establishes a GGA-based platform for BGC construction, refactoring, and functional dissection, accelerating synthetic-biology-driven natural product discovery.
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