Genome mining in silico approaches allow scientists to proficiently evaluate the genomic potency of secondary bioactive chemical producers and find new bioactive compounds in different bacteria. Streptomyces is one of the most ubiquitous bacterial genera in the environments, and well-known as prolific producers of diverse and valuable natural products (NPs) with significant biological activities. Mining and prioritizing of NP biosynthetic gene clusters (BGCs) would be the most important stage in the identification of novel compounds. Comparative genomics and genetic similarity network analysis of 62 Streptomyces public reference genomes demonstrated that individuals of these species exhibit a huge number of distinct NP BGCs, the most of which are cryptic and unconnected to any reported NPs with high phylogenetic variation among individuals. It was assumed that substantial heterogeneity across the varieties of species of Streptomyces drives outstanding biosynthetic and metabolic potential, making them plausible candidates for the identification of novel molecules.
Keywords: Biosynthetic gene cluster; Gene cluster family; Genome mining; Natural products; Phylogenetic variation; Streptomyces.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.