Automated, self-resistance gene-guided, and high-throughput genome mining of bioactive natural products from .

Natural products (NPs) produced by bacteria, fungi and plants are a major source of drug leads. species are particularly important in this regard as they produce numerous natural products with prominent bioactivities. Here we report a fully a utomated, s calable and high-throughput platform for discovery of bioactive n atural p roducts in (FAST-NPS). This platform comprises computational prediction and prioritization of target biosynthetic gene clusters (BGCs) guided by self-resistance genes, highly efficient and automated direct cloning and heterologous expression of BGCs, followed by high-throughput fermentation and product extraction from strains. As a proof of concept, we applied this platform to clone 105 BGCs ranging from 10 to 100 kb that contain potential self-resistance genes from 11 strains with a success rate of 95%. Heterologous expression of all successfully cloned BGCs in TK24 led to the discovery of 23 natural products from 12 BGCs. We selected 5 of these 12 BGCs for further characterization and found each of them could produce at least one natural product with antibacterial and/or anti-tumor activity, which resulted in a total of 8 bioactive natural products. Overall, this work would greatly accelerate the discovery of bioactive natural products for biomedical and biotechnological applications.