Microbial Strain Prioritization Using Metabolomics Tools for the Discovery of Natural Products

摘要: Natural products profoundly impact many research areas, including medicine, organic chemistry, and cell biology. However, discovery of new natural suffers from a lack high throughput analytical techniques capable identifying structural novelty in the face degree chemical redundancy. Methods to select bacterial strains for drug have historically been based on phenotypic qualities or genetic differences not laboratory production secondary metabolites. Therefore, untargeted LC/MS-based metabolomics was evaluated rapidly efficiently analyze marine-derived using LC/MS-principal component analysis (PCA). A major goal this work demonstrate that LC/MS-PCA effective strain prioritization program. As proof concept, we selection support discovery, unique products, rapid assessment regulation ...