2017
DOI: 10.1128/aem.02701-16
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Environmental Pseudomonads Inhibit Cystic Fibrosis Patient-Derived Pseudomonas aeruginosa

Abstract: Pseudomonas aeruginosa is an opportunistic pathogen which is evolving resistance to many currently used antibiotics. While much research has been devoted to the roles of pathogenic P. aeruginosa in cystic fibrosis (CF) patients, less is known of its ecological properties. P. aeruginosa dominates the lungs during chronic infection in CF patients, yet its abundance in some environments is less than that of other diverse groups of pseudomonads. Here, we sought to determine if clinical isolates of P. aeruginosa ar… Show more

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Cited by 30 publications
(50 citation statements)
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“…For our SWI research strategy, pseudomonads were chosen as a model organism to pursue antibiotic discovery because of their high levels of genomic diversity (Gross & Loper, ; Silby, Winstanley, Godfrey, Levy, & Jackson, ) and persistence in diverse habitats such as soil (Chatterjee et al., ; Morris, Monteil, & Berge, ), in association with plants (Berendsen, Pieterse, & Bakker, ; Bulgarelli et al., ; Loper et al., ), and within freshwater ecosystems (Chatterjee et al., ; D'souza et al., ; Morris et al., ). Given the unique physical state of these distinct habitats, we reason that strains adapted to different environments should maintain unique metabolic pathways capable of producing diverse secondary metabolites that may exhibit antimicrobial effects against other bacteria.…”
Section: Resultsmentioning
confidence: 99%
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“…For our SWI research strategy, pseudomonads were chosen as a model organism to pursue antibiotic discovery because of their high levels of genomic diversity (Gross & Loper, ; Silby, Winstanley, Godfrey, Levy, & Jackson, ) and persistence in diverse habitats such as soil (Chatterjee et al., ; Morris, Monteil, & Berge, ), in association with plants (Berendsen, Pieterse, & Bakker, ; Bulgarelli et al., ; Loper et al., ), and within freshwater ecosystems (Chatterjee et al., ; D'souza et al., ; Morris et al., ). Given the unique physical state of these distinct habitats, we reason that strains adapted to different environments should maintain unique metabolic pathways capable of producing diverse secondary metabolites that may exhibit antimicrobial effects against other bacteria.…”
Section: Resultsmentioning
confidence: 99%
“…Traditional SWI workflow utilizes chemical approaches to extract inhibitory compounds from antagonistic strains for their subsequent characterization. Previously, we optimized molecular methods for the identification of BGCs involved in antagonistic activity among pathogenic P. aeruginosa strains from cystic fibrosis patients (Chatterjee et al., ). We adapted this methodology, involving transposon (Tn) mutagenesis using the pBAM1 vector (Martinez‐Garcia et al., ), to SWI in order to expand the process of antibiotic discovery by identifying and characterizing BGCs involved in antagonistic activities.…”
Section: Resultsmentioning
confidence: 99%
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“…The BGCs encoding the putative NRPs and PKSs exhibited the most diversity, and the PKS in strain 10N.222.47.A9 was non-homologous to all other BGCs. Bacteriocins (Carraturo, Raieta, Ottaviani, & Russo, 2006;Prasad, Morris, Hansen, Meaden, & Austin, 2005), NRPSs (Cordero, Wildschutte, et al, 2012), PKSs (Liaw et al, 2015), and siderophores (Chatterjee et al, 2017) are compounds that have been shown to exhibit antagonistic activity and these BGCs may contribute to the inhibition observed by the 10 strains; moreover, few genes in these cluster have similarity to other known loci (Table 4) suggesting these BGCs may encode novel products. Although these results identify putative regions encoding antagonistic factors on the chromosome, it is also possible that genes encoding inhibitory products originate on plasmids that would be undetected in our genomic analysis.…”
Section: Gene Clusters Encoding Potential Inhibitory Factorsmentioning
confidence: 99%