Genomic and chemical decryption of the Bacteroidetes phylum for its potential to biosynthesize natural products

With progress in genome sequencing and data sharing, 1000s of bacterial genomes are publicly available. Genome mining – using bioinformatics tools in terms of biosynthetic gene cluster (BGC) identification, analysis and rating – has become a key technology to explore the capabilities for natural product (NP) biosynthesis. Comprehensively, analyzing the genetic potential of the phylum Bacteroidetes revealed Chitinophaga as the most talented genus in terms of BGC abundance and diversity. Guided by the computational predictions, we conducted a metabolomics and bioactivity driven NP discovery program on 25 Chitinophaga strains. High numbers of peerless strain-specific metabolite buckets confirmed the upfront predicted biosynthetic potential and revealed a tremendous uncharted chemical space. Sourcing this dataset, we isolated the new iron chelating nonribosomally-synthesized cyclic tetradeca- and pentadecalipodepsipeptide antibiotics chitinopeptins with activity against Candida , produced by C. eiseniae DSM 22224 and C. flava KCTC 62435, respectively. Teaser Combination of omics-technologies revealed taxonomical hotspots for specialized metabolites within Bacteroidetes.