A Rare Thioquinolobactin Siderophore Present in a Bioactive Pseudomonas sp. DTU12.1. (4th December 2019)

• Record Type: Journal Article
• Authors: Sazinas, Pavelas; Hansen, Morten Lindqvist; Aune, May Iren; Fischer, Marie Højmark; Jelsbak, Lars
• Editors: Ochman, Howard
• Is Part Of: Genome biology and evolution. Volume 11:Number 12(2019)
• Page Start: 3529
• Page End: 3533
• Publication Date: 2019-12-04
• Subjects: Pseudomonas -- whole genome sequencing -- secondary metabolite -- siderophore -- biosynthetic gene cluster -- biocontrol; Genomics -- Periodicals; Genes -- Periodicals; 572.8605
• DOI: 10.1093/gbe/evz267
• Languages: English
• ISSNs: 1759-6653

Abstract

Abstract: Many of the soil-dwelling Pseudomonas species are known to produce secondary metabolite compounds, which can have antagonistic activity against other microorganisms, including important plant pathogens. It is thus of importance to isolate new strains of Pseudomonas and discover novel or rare gene clusters encoding bioactive products. In an effort to accomplish this, we have isolated a bioactive Pseudomonas strain DTU12.1 from leaf-covered soil in Denmark. Following genome sequencing with Illumina and Oxford Nanopore technologies, we generated a complete genome sequence with the length of 5, 943, 629 base pairs. The DTU12.1 strain contained a complete gene cluster for a rare thioquinolobactin siderophore, which was previously described as possessing bioactivity against oomycetes and several fungal species. We placed the DTU12.1 strain within Pseudomonas gessardii subgroup of fluorescent pseudomonads, where it formed a distinct clade with other Pseudomonas strains, most of which also contained a complete thioquinolobactin gene cluster. Only two other Pseudomonas strains were found to contain the gene cluster, though they were present in a different phylogenetic clade and were missing a transcriptional regulator of the whole cluster. We show that having the complete genome sequence and establishing phylogenetic relationships with other strains can enable us to start evaluating the distribution and evolutionary origins of secondary metabolite clusters.