Genome Mining the Full Diversity of the Actinomycete Biosynthetic Universe for Neomorph Antibiotic Discovery

ABSTRACT To combat multidrug resistant bacterial infections novel classes of antibiotics with new mechanisms of action are desperately required Genome mining for novel natural products is quickly replacing traditional approaches to antibiotic discovery Warp Drive Bio has sequenced over actinomycete strain genomes from diverse sources worldwide and our proprietary genomic database contains approximately secondary metabolite gene clusters Importantly of cluster families identified in our database have yet to be reported in the literature Our vast microbial genomics based approach is innovative because it provides an unprecedented opportunity to discover entirely novel antibiotics with new mechanisms of action MOAs The focus of this project will be to identify express and test biosynthetic gene clusters encoding new classes of antibiotics with novel MOAs to combat current and future drug resistant pathogens by combing our vast genomics resources and innovative bioinformatics search with our validated genomes to drugs platform for natural products discovery First we will harness our extensive complementary genomic resources to identify and clone candidate neomorph antibiotic clusters We term biosynthetic clusters that are novel as neomorphs and we have constructed a bioinformatic analysis pipeline of phylogenomic and chemoinformatic tools to assess novelty at the genetic and biosynthetic levels We then will utilize our microbial genomic database to predict which neomorph clusters possess antibiotic activity by searching for self resistance genes within the neomorph cluster Bacteria utilize a variety of self resistance mechanisms to protect against the antibiotics they are actively producing and this property can be exploited using genomic information Our integrated bioinformatic analysis we will advance candidate neomorph antibiotic clusters for expression and testing A validated portfolio of synthetic biology techniques will be deployed for refactoring biosynthetic clusters to enhance the expression of clusters that are not expressed or which are expressed at very low levels to increase compound production Finally we have developed a high throughput fermentation process bioassay and mass spectrometric infrastructure to analyze and identify neomorphs Thus by combing an innovative genomic search of novel biosynthetic clusters with embedded resistance genes with our integrated genes to compound platform we will identify engineer and screen candidate neomorph antibiotics to address the growing clinical need for new antibacterial agents with novel MOAs This project will take a microbial genomics based approach to finding entirely novel natural products with antibiotic properties and new mechanisms of action to combat current and emerging drug resistant pathogens