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- Berglund, Fanny, 1988, et al.
(author)
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Identification of 76 novel B1 metallo-beta-lactamases through large-scale screening of genomic and metagenomic data
- 2017
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In: Microbiome. - : Springer Science and Business Media LLC. - 2049-2618. ; 5:1, s. 134-134
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Journal article (peer-reviewed)abstract
- Background: Metallo-beta-lactamases are bacterial enzymes that provide resistance to carbapenems, the most potent class of antibiotics. These enzymes are commonly encoded on mobile genetic elements, which, together with their broad substrate spectrum and lack of clinically useful inhibitors, make them a particularly problematic class of antibiotic resistance determinants. We hypothesized that there is a large and unexplored reservoir of unknown metallo-beta-lactamases, some of which may spread to pathogens, thereby threatening public health. The aim of this study was to identify novel metallo-beta-lactamases of class B1, the most clinically important subclass of these enzymes. Results: Based on a new computational method using an optimized hidden Markov model, we analyzed over 10,000 bacterial genomes and plasmids together with more than 5 terabases of metagenomic data to identify novel metallo-beta-lactamase genes. In total, 76 novel genes were predicted, forming 59 previously undescribed metallo-beta-lactamase gene families. The ability to hydrolyze imipenem in an Escherichia coli host was experimentally confirmed for 18 of the 21 tested genes. Two of the novel B1 metallo-beta-lactamase genes contained atypical zinc-binding motifs in their active sites, which were previously undescribed for metallo-beta-lactamases. Phylogenetic analysis showed that B1 metallo-beta-lactamases could be divided into five major groups based on their evolutionary origin. Our results also show that, except for one, all of the previously characterized mobile B1 beta-lactamases are likely to have originated from chromosomal genes present in Shewanella spp. and other Proteobacterial species. Conclusions: This study more than doubles the number of known B1 metallo-beta-lactamases. The findings have further elucidated the diversity and evolutionary history of this important class of antibiotic resistance genes and prepare us for some of the challenges that may be faced in clinics in the future.
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| 2. |
- Boulund, Fredrik, 1985, et al.
(author)
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Computational discovery and functional validation of novel fluoroquinolone resistance genes in public metagenomic data sets
- 2017
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In: BMC Genomics. - : Springer Science and Business Media LLC. - 1471-2164. ; 18:1, s. Art 682-
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Journal article (peer-reviewed)abstract
- Background: Fluoroquinolones are broad-spectrum antibiotics used to prevent and treat a wide range of bacterial infections. Plasmid-mediated qnr genes provide resistance to fluoroquinolones in many bacterial species and are increasingly encountered in clinical settings. Over the last decade, several families of qnr genes have been discovered and characterized, but their true prevalence and diversity still remain unclear. In particular, environmental and host-associated bacterial communities have been hypothesized to maintain a large and unknown collection of qnr genes that could be mobilized into pathogens. Results: In this study we used computational methods to screen genomes and metagenomes for novel qnr genes. In contrast to previous studies, we analyzed an almost 20-fold larger dataset comprising almost 13 terabases of sequence data. In total, 362,843 potential qnr gene fragments were identified, from which 611 putative qnr genes were reconstructed. These gene sequences included all previously described plasmid-mediated qnr gene families. Fifty-two of the 611 identified qnr genes were reconstructed from metagenomes, and 20 of these were previously undescribed. All of the novel qnr genes were assembled from metagenomes associated with aquatic environments. Nine of the novel genes were selected for validation, and six of the tested genes conferred consistently decreased susceptibility to ciprofloxacin when expressed in Escherichia coli. Conclusions: The results presented in this study provide additional evidence for the ubiquitous presence of qnr genes in environmental microbial communities, expand the number of known qnr gene variants and further elucidate the diversity of this class of resistance genes. This study also strengthens the hypothesis that environmental bacterial communities act as sources of previously uncharacterized qnr genes.
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