| Summary: | Microbial genome sequencing has uncovered a myriad of natural products (NPs) that have yet to be explored. Bacteria in the genus <i>Pseudomonas</i> serve as pathogens, plant growth promoters, and therapeutically, industrially, and environmentally important microorganisms. Though most species of <i>Pseudomonas</i> have a large number of NP biosynthetic gene clusters (BGCs) in their genomes, it is difficult to link many of these BGCs with products under current laboratory conditions. In order to gain new insights into the diversity, distribution, and evolution of these BGCs in <i>Pseudomonas</i> for the discovery of unexplored NPs, we applied several bioinformatic programming approaches to characterize BGCs from <i>Pseudomonas</i> reference genome sequences available in public databases along with phylogenetic and genomic comparison. Our research revealed that most BGCs in the genomes of <i>Pseudomonas</i> species have a high diversity for NPs at the species and subspecies levels and built the correlation of species with BGC taxonomic ranges. These data will pave the way for the algorithmic detection of species- and subspecies-specific pathways for NP development.
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