OBJECTIVES: The cystic fibrosis (CF) airway is now considered the site of a complex microbiota, where cross-talking between microbes and lateral gene transfer are believed to contribute to the adaptation of bacteria to this specific environment and to the emergence of multidrug-resistant bacteria. The objective of this study was to retrieve and analyse specific sequences associated with antimicrobial resistance from the CF viromes database. METHODS: Specific sequences from CF metagenomic studies related to the 'antibiotic and toxic compound resistance' dataset were retrieved from the MG-RAST web site, assembled and functionally annotated for identification of the genes. Phylogenetic trees were constructed using a minimum parsimony starting tree topology search strategy. RESULTS: Overall, we found 1031 short sequences in the CF virome putatively encoding resistance to antimicrobials versus only 3 reads in the non-CF virome dataset (P = 0.001). Among them, we could confidently identify 66 efflux pump genes, 15 fluoroquinolone resistance genes and 9 β-lactamase genes. Evolutionary relatedness determined using phylogenetic information demonstrates the different origins of these genes among the CF microbiota. Interestingly, among annotated sequences within CF viromes, we also found matching 16S rDNA sequences from Escherichia, Cyanobacteria and Bacteroidetes. CONCLUSIONS: Our results suggest that phages in the CF sputum microbiota represent a reservoir of mobilizable genes associated with antimicrobial resistance that may spread in this specific niche. This phenomenon could explain the fantastic adaptation of CF strains to their niche and may represent a new potential therapeutic target to prevent the emergence of multidrug-resistant bacteria, which are responsible for most of the deaths in CF.
OBJECTIVES: The cystic fibrosis (CF) airway is now considered the site of a complex microbiota, where cross-talking between microbes and lateral gene transfer are believed to contribute to the adaptation of bacteria to this specific environment and to the emergence of multidrug-resistant bacteria. The objective of this study was to retrieve and analyse specific sequences associated with antimicrobial resistance from the CF viromes database. METHODS: Specific sequences from CF metagenomic studies related to the 'antibiotic and toxic compound resistance' dataset were retrieved from the MG-RAST web site, assembled and functionally annotated for identification of the genes. Phylogenetic trees were constructed using a minimum parsimony starting tree topology search strategy. RESULTS: Overall, we found 1031 short sequences in the CF virome putatively encoding resistance to antimicrobials versus only 3 reads in the non-CF virome dataset (P = 0.001). Among them, we could confidently identify 66 efflux pump genes, 15 fluoroquinolone resistance genes and 9 β-lactamase genes. Evolutionary relatedness determined using phylogenetic information demonstrates the different origins of these genes among the CF microbiota. Interestingly, among annotated sequences within CF viromes, we also found matching 16S rDNA sequences from Escherichia, Cyanobacteria and Bacteroidetes. CONCLUSIONS: Our results suggest that phages in the CF sputum microbiota represent a reservoir of mobilizable genes associated with antimicrobial resistance that may spread in this specific niche. This phenomenon could explain the fantastic adaptation of CF strains to their niche and may represent a new potential therapeutic target to prevent the emergence of multidrug-resistant bacteria, which are responsible for most of the deaths in CF.
Authors: François Enault; Arnaud Briet; Léa Bouteille; Simon Roux; Matthew B Sullivan; Marie-Agnès Petit Journal: ISME J Date: 2016-06-21 Impact factor: 10.302
Authors: Dominic N Facciponte; Matthew W Bough; Darius Seidler; James L Carroll; Alix Ashare; Angeline S Andrew; Gregory J Tsongalis; Louis J Vaickus; Patricia L Henegan; Tanya H Butt; Elijah W Stommel Journal: Sci Total Environ Date: 2018-07-20 Impact factor: 7.963