PROJECT SUMMARY We have assembled an entirely Florida-centric collaborative research team with collective expertise in microbial natural products chemistry and pharmacology, genomics, bacterial enzymology, bioinformatics, synthetic biology, chemical synthesis, and cyanobacterial and sponge chemical ecology and phylogenetics. The team is complemented by an out-of-state expert in metagenomics and bioinformatics integration. This geographical cluster of expertise being in the state with the greatest marine biodiversity in the continental US provides a dual benefit and unique opportunity to explore systems that are likely to hold some of the most promise in terms of biosynthetic potential: marine cyanobacterial communities, consisting of benthic filamentous cyanobacteria that are associated with unique microbial diversity, and sponges and their associated rich and unique microbiome in a local hotspot of biodiversity. Compounds produced by these communities are known to cover therapeutically relevant chemical space and are therefore suited as starting points for drug discovery. In a targeted fashion, we will obtain high quality (meta)genome and (meta)transcriptome sequence information from sponge-associated microbiomes and cyanobacteria using state-of-the-art sequencing techniques. We will build an integrated, multi- component platform that leverages existing bioinformatics tools and newly developed artificial intelligence-based tools to shine new light at their genomes with the goal of identifying novel biosynthetic gene clusters, particularly those unattainable with current tools, and even chemical skeletons. We will express natural products encoded by the clusters by employing five types of complementary synthetic biology systems that we have strategically developed over the past several years. These systems originating from five bacterial phyla commonly associated with both marine cyanobacterial and sponge samples cover diverse genetic backgrounds and are expected to effectively translate the identified genetic information of a variety of organisms into chemicals with proper system optimization. We will evaluate and analyze metabolites and expression profiles using LC-MS-based metabolomics and NMR and characterize associated new enzymology. Natural products derived from chemical extract and fraction libraries and those generated through our expression systems or chemical synthesis will be tested in our multidimensional screening platform, consisting of unbiased phenotypic assays in various in vitro and in vivo models as well as experimental and computational target-based functional assays. This approach will enable us to capture a broad array of activities from expressed and unexpressed genes. Selected bioactive natural products will be scaled by chemical synthesis, and bioprobes and enzyme substrates will be prepared for in-depth biological studies and enzymology research, respectively. Successful completion of these aims by our established multi...