A Comprehensive Genome Mining Analysis of Biosynthetic Gene Clusters in Pseudomonas sp. SXM-1

Abstract

Very resistant pathogenic microorganisms have been reported to current antibiotics in the last decade. Therefore, there is a great need to understand not only resistance metabolism but also secondary metabolites of pathogenic microorganisms. Genome mining tools have so far been improved to understand secondary metabolites from biosynthetic gene clusters. Microorganisms predicted for their genomes and secondary metabolites using these tools are widely employed in pharmaceutical and industrial studies. Pseudomonas spp. are widely used in recombinant DNA technology to produce commercial products. Bioinformatics-based in silico tools significantly contribute to the discovery of new bioactive compounds for pharmacy and medicine. This study aims to conduct a comprehensive gene cluster analysis of the Pseudomonas sp. SXM-1 strain isolated from the coastal seawater of Xiamen Bay using antiSMASH (7.0.1). The accession number of Pseudomonas sp. SXM-1 strain was retrieved from NCBI. 14 regions were found, including non-ribosomal peptides metallophores (NRP-metallophore), nonribosomal peptide-synthetase (NRPS), NRPS-like, ribosomally synthesized and post-translationally modified peptide-like (RiPP-like), betalactone, nonribosomal peptide-synthetase (NRPS), ectoine and N-acetylglutaminylglutamine amide (NAGGN). Analysis of all 14 regions revealed secondary metabolites with potential applications in diverse fields. Microbiologists are strongly advised to conduct wet-lab experiments to validate the secondary metabolites discussed in this study.