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Canton, R.

Publications and source records attributed to Canton, R..

29 records · Page 2Linked to original sources

Predation Efficiency upon Clinical Isolates: Bdellovibrio bacteriovorus is Prey Specific and Origin Dependent

The use of predatory bacteria as live antibiotics has been proposed for managing bacterial infections, especially for those caused by antibiotic multiresistant isolates for which there are few therapeutic options. However, the current knowledge in this field is scarce, with most of the available data based on environmental isolates, with a significant lack of human clinical samples. In this study, we evaluated the predatory spectrum of the reference strain Bdellovibrio bacteriovorus 109J on 13 Serratia marcescens (5 of which were carbapenemase producers) and 78 Pseudomonas aeruginosa clinical isolates from respiratory (colonizing the lungs of patients with cystic fibrosis) or bacteremic infections, differentiated by phenotype (mucoid or not), antibiotic resistance phenotype (including multidrug-resistant isolates), and genetic lineage (frequent and rare sequence types). The source of the isolates was significantly associated with predation efficiency (100% for S. marcescens, 67% for P. aeruginosa from cystic fibrosis, and 25% for P. aeruginosa from bacteremia). In contrast, no correlation with colonial morphotype, genetic background, or antibiotic susceptibility was found. To evaluate the influence of the predator on the predation event, we employed a more aggressive B. bacteriovorus mutant 109J preying upon the same 48 bacteremic P. aeruginosa isolates. The mutants predation efficiency was higher than that of their wild-type counterpart (43% vs. 25%), pointing out that predation is specific to each prey-predator pair of isolates. Our results provide the most extensive study of clinical prey susceptibility published to date and show that the prey-predator interaction is influenced by the origin of the isolates rather than by their genetic background or their antibiotic susceptibility phenotype. IMPORTANCEThe potential usefulness of predatory bacteria in controlling human pathogens, particularly those that are multiresistant to antibiotics, is enormous. Although this possibility has long been suggested, there are still no data on predation susceptibility in clinical strains, and the possible presence of autochthonous predators of the human microbiota has not been investigated. In this study, we employed a reference predator with an environmental origin to study predation phenomena in 3 well-characterized collections of human clinical isolates. Our results demonstrated that predation is a specific consequence of each prey-predator interaction, with the origin of the strains the most relevant factor. In contrast, the genetic background, morphotype, and antibiotic resistance did not appear to influence the predation phenomenon. We also highlight the involvement of a putative polyhydroxyalkanoate depolymerase protein of B. bacteriovorus in determining prey susceptibility. To our knowledge, this study is the largest performed with strains of clinical origin, discriminating between various genera and including strains with multiresistance to antibiotics.

ecology↗

Cannabidiol (CBD) repurposing as antibacterial: promising therapy of CBD plus polymyxin B against superbugs

Abstract Multidrug-resistant (MDR) and extensively drug-resistant (XDR) bacteria are a major worldwide public health problem. In the last decades, resistance to last-resort antibiotics such as polymyxin B (PB) have been increasingly observed among these superbugs, compromising the effectiveness of antimicrobial therapy. The present study aimed (i) to assess the ultrapure Cannabidiol (CBD) antibacterial activity against a broad diversity of Gram-negative (GN) and Gram-positive (GP) bacteria (44 different species, 95 strains), comprising standard strains and clinical isolates, and (ii) to investigate the antibacterial activity of the combination CBD + PB against GN bacteria, including chromosomal- and plasmid-acquired PB-resistant and intrinsically PB-resistant GNB. We evaluated CBD in vitro antibacterial activity using the standard broth microdilution method, and the antibacterial activity of the combination CBD + PB was screened using the standard broth microdilution and confirmed by checkerboard assay. CBD exhibited antibacterial activity against different GP bacterial species, lipooligosaccharide (LOS)-expressing GN diplococcus (GND) (Neisseria gonorrhoeae, Neisseria meningitidis, and Moraxella catarrhalis), and Mycobacterium tuberculosis. The combination CBD + PB exhibited antibacterial activity against PB-resistant GNB (e.g., Klebsiella pneumoniae) as well as additive and/or synergistic effect against LOS-expressing GND. The antibacterial activity of the combination CBD + PB against Pseudomonas aeruginosa and plasmid-mediated colistin-resistant (MCR-1) E. coli strains could be only demonstrated in the presence of phenylalanine-arginine-{beta}-naphthylamide (PA{beta}N). In conclusion, our results show promising translational potential of the combination CBD + PB against MDR and XDR GNB, including PB-resistant K. pneumoniae, highlighting its potential as a rescue treatment for life-threatening infections caused by these superbugs. One Sentence SummaryPromising combination of cannabidiol (CBD) + polymyxin B (PB) against superbugs (e.g., PB-resistant Gram-negative bacilli): Repurposing CBD

microbiology↗

Evolution of VIM-1 producing Klebsiella pneumoniae isolates from a hospital outbreak reveals the genetic bases of the loss of the urease-positive identification character

Outbreaks of carbapenemase producing Klebsiella pneumoniae (CPKp) represent a major threat for hospitals. We molecularly characterized the first outbreak of VIM-1 producing K. pneumoniae in Spain, that raised fears about the spread of this strain or of the plasmid carrying blaVIM-1. Through in-depth genomic analysis of 18 isolates recovered between October 2005 and September 2007, we show that 17 ST39 isolates were clonal, whereas the last isolate had acquired the VIM-1 plasmid from the epidemic clone. The index isolate carried 31 antibiotic resistance genes (ARGs) and was resistant to almost all antibiotics tested. Later isolates further gained mutations in efflux pumps regulators ramR and opxR, deletion of mgrB (colistin resistance) and frameshift mutations in ompK36 ({beta}-lactam resistance) likely selected by antibiotic usage. Comparison with publicly available genome sequences and literature review revealed no sign of dissemination of this CPKp strain. However, the VIM-1 plasmid was found in diverse Enterobacterales species, although restricted to Spain. One isolate became urease negative following IS5075 transposition into ureC. Analysis of 9755 K. pneumoniae genomes showed the same ureC::IS5075 insertion in 14.1% of the isolates and explained why urease activity is a variable identification trait for K pneumoniae. Transposition into ureC results from the similarity of its 3-end and the terminal inverted repeats of Tn21 like transposons, the targets of IS5075 and related ISs. As these transposons frequently carry ARGs, this might explain the frequent chromosomal invasion by these ISs and ureC inactivation in multidrug resistant isolates. IMPORTANCEEvolution of multidrug resistant bacterial pathogens occurs at multiple scales, in the patient, locally in the hospital or more globally. Some mutations or gene acquisitions, for instance in response to antibiotic treatment, may be restricted to a single patient due to their high fitness cost. However, some events are more general. By analyzing the evolution of a hospital acquired multidrug resistant K. pneumoniae strain producing the carbapenemase VIM-1, we showed a likely environmental source in the hospital and identified mutations contributing to a further decrease in antibiotic susceptibility. By combining the genomic analysis of this outbreak with literature data and genome sequences available in databases, we showed that the VIM-1 plasmid has been acquired by different Enterobacterales but is only endemic in Spain. We also discovered that urease loss in K. pneumoniae results from the specific transposition of an IS element into the ureC gene and was more frequent in fluoroquinolone resistant isolates and carrying a carbapenemase gene.

evolutionary biology↗

The distribution of plasmid fitness effects explains plasmid persistence in bacterial communities

Introductory paragraphPlasmid persistence in bacterial populations is strongly influenced by the fitness effects associated with plasmid carriage. However, plasmid fitness effects in wild-type bacterial hosts remain largely unexplored. In this study, we determined the distribution of fitness effects (DFE) for the major antibiotic resistance plasmid pOXA-48 in wild-type, ecologically compatible enterobacterial isolates from the human gut microbiota. Our results show that although pOXA-48 produced an overall reduction in bacterial fitness, the DFE was dominated by quasi-neutral effects, and beneficial effects were observed in several isolates. Incorporating these data into a simple population dynamics model revealed a new set of conditions for plasmid stability in bacterial communities, with plasmid persistence increasing with bacterial diversity and becoming less dependent on conjugation. Moreover, genomic results showed a link between plasmid fitness effects and bacterial phylogeny, helping to explain pOXA-48 epidemiology. Our results provide a simple and general explanation for plasmid persistence in natural bacterial communities.

microbiology↗

Collateral Sensitivity Associated with Antibiotic Resistance Plasmids

Collateral sensitivity (CS) is a promising alternative approach to counteract the rising problem of antibiotic resistance (ABR). CS occurs when the acquisition of resistance to one antibiotic produces increased susceptibility to a second antibiotic. For CS to be widely applicable in clinical practice, it would need to be effective against the different resistance mechanisms available to bacteria. Recent studies have focused on CS strategies designed against ABR mediated by chromosomal mutations. However, one of the main drivers of ABR in clinically relevant bacteria is the horizontal transfer of ABR genes mediated by plasmids. Here, we report the first analysis of CS associated with the acquisition of complete ABR plasmids, including the clinically important carbapenem-resistance conjugative plasmid pOXA-48. In addition, we describe the conservation of CS in clinical E. coli isolates and its application to the selective elimination of plasmid-carrying bacteria. Our results provide new insights that establish the basis for developing CS-informed treatment strategies to combat plasmid-mediated ABR.

microbiology↗

Dissemination routes of the carbapenem resistance plasmid pOXA-48 in a hospital setting

Introductory paragraphInfections caused by carbapenemase-producing enterobacteria (CPE) are a major concern in clinical settings worldwide. Two fundamentally different processes shape the epidemiology of CPE in hospitals: the dissemination of CPE clones from patient to patient (between-patient transfer), and the transfer of carbapenemase-encoding plasmids between enterobacteria in the gut microbiota of individual patients (within-patient transfer). The relative contribution of each process to the overall dissemination of carbapenem resistance in hospitals remains poorly understood. Here, we used mechanistic models combining epidemiological data from more than 9,000 patients with whole genome sequence information from 250 enterobacteria clones to characterise the dissemination routes of the carbapenemase-encoding plasmid pOXA-48 in a hospital setting over a two-year period. Our results revealed frequent between-patient transmission of high-risk pOXA-48-carrying clones, mostly of Klebsiella pneumoniae and sporadically Escherichia coli. The results also identified pOXA-48 dissemination hotspots within the hospital, such as specific wards and individual rooms within wards. Using high-resolution plasmid sequence analysis, we uncovered the pervasive within-patient transfer of pOXA-48, suggesting that horizontal plasmid transfer occurs in the gut of virtually every colonised patient. The complex and multifaceted epidemiological scenario exposed by this study provides new insights for the development of intervention strategies to control the in-hospital spread of CPE.

microbiology↗

A 21-year survey of from bloodstream infections (BSIs) in a tertiary hospital reveals how community-hospital dynamics, influence local BSI rates, the trends of the B2 phylogroup and the STc131 pandemic clone

This is a longitudinal study comprising 649 Escherichia coli (EC) isolates representing all 7165 EC-BSI episodes recorded in a hospital (1996-2016). Strains analysis included clonal identification (phylogenetic groups/subgroups, STc131 subclades, PFGE, and WGS), antibiotic susceptibility (13 antibiotics), and virulence-associated genes (VAGs, 29 genes). The incidence of BSI-EC increased from 1996 to 2016 (5.5 to 10.8 BSI episodes/1000 hospitalizations, average 7-8/1000). B2 isolates predominate (53%), subgroups B2-I (STc131), B2-II, B2-IX, and B2-VI representing 25%, 25%, 14%, and 9%, respectively. Intertwined waves of community-acquired (CA) + healthcare-associated and community-onset healthcare-associated (HCA), and hospital-acquired (HA) episodes of both B2 and non-B2 phylogroups occurred. A remarkable increase was only observed for B2-I-STc131 (C1/C2 subclades), with oscillations for other B2 subgroups and phylogroups throughout the years. Epidemic and persistent clones (comprising isolates with highly similar/identical-PFGE types and genomes differing in 18-97 SNPs) of B2-I (STc131), B2-II (STc73), B2-III (STc127), B2-IX (STc95), and B2-VI (STc12) were recovered from different patients, most at hospital admission, for long periods (2-17 years), ESBL producers or resistance to ciprofloxacin in B2 isolates were almost restricted to B2-I (STc131) subclade C. STc131 contributed to increasing the B2 rates but only transiently altered the EC-population structure. The increase of EC-BSI was determined by waves of CA+HCA-BSI episodes that predate the waves of HA-BSI. Besides the risk of hospital transmission that led to temporal increases in BSIs, this study suggests that EC-populations/clones from community-based healthy individuals may occasionally have an epidemic structure and provide a source of transmissible strains influencing the HA-BSIs incidence. IMPORTANCESepsis is the third cause of mortality in Western countries and one of the Global Health threads recognized by the WHO since 2017. Despite Escherichia coli constitutes the most common cause of bloodstream infections (BSI), its epidemiology is not fully understood, in part due to the scarcity of local and longitudinal studies. Our work analyzes the long-term dynamics of E. coli causing bacteremia in a single institution and reveals waves of different clonal lineages that emerge periodically and successfully spread afterward in both the community and hospitals. Because the origin of BSI-E. coli infections is the gut, the microbiota of healthy individuals might occasionally have an epidemic structure, providing a source of E. coli strains to influence the incidence of hospital BSIs. The study complements previous fractionated observations focusing on specific E. coli lineages or antibiotic-resistant isolates in the last decades and helps to understand the epidemiology of E. coli BSIs and the dynamics of pandemic clones.

microbiology↗

Global genomic population structure of Clostridioides difficile

Clostridioides difficile is the primary infectious cause of antibiotic-associated diarrhea. Local transmissions and international outbreaks of this pathogen have been previously elucidated by bacterial whole-genome sequencing, but comparative genomic analyses at the global scale were hampered by the lack of specific bioinformatic tools. Here we introduce EnteroBase, a publicly accessible database (http://enterobase.warwick.ac.uk) that automatically retrieves and assembles C. difficile short-reads from the public domain, and calls alleles for core-genome multilocus sequence typing (cgMLST). We demonstrate that the identification of highly related genomes is 89% consistent between cgMLST and single-nucleotide polymorphisms. EnteroBase currently contains 13,515 quality-controlled genomes which have been assigned to hierarchical sets of single-linkage clusters by cgMLST distances. Hierarchical clustering can be used to identify populations of C. difficile at all epidemiological levels, from recent transmission chains through to pandemic and endemic strains, and is largely compatible with prior ribotyping. Hierarchical clustering thus enables comparisons to earlier surveillance data and will facilitate communication among researchers, clinicians and public-health officials who are combatting disease caused by C. difficile.

microbiology↗

In vitro and in vivo efficacy of the combination of colistin and endolysins against clinical strains of Multi-Drug Resistant (MDR) pathogens

The multidrug resistance (MDR) among pathogenic bacteria is jeopardizing the worth of antimicrobials, which had previously changed medical sciences. In this study, we used bioinformatic tools to identify the endolysins ElyA1 and ElyA2 (GH108-PG3 family) present in the genome of bacteriophages Ab1051{Phi} and Ab1052{Phi}, respectively. The muralytic activity of these endolysins over MDR clinical isolates (Acinetobacter baumannii, Pseudomonas aeruginosa and Klebsiella pneumoniae) was tested using the turbidity reduction assay. The minimal inhibitory concentrations (MICs) of endolysin, colistin and their combination were determined using the microdilution checkerboard method. The antimicrobial activity of the combinations was confirmed by time kill curves and in vivo assays in larvae of Galleria mellonella. Our results showed that ElyA1 displayed activity against all 25 strains of A. baumannii and P. aeruginosa tested and against 13 out of 17 strains of K. pneumoniae. No activity was detected when assays were done with endolysin ElyA2. The combined antimicrobial activity of colistin and endolysin ElyA1 yielded a reduction in the colistin MIC for all strains studied, except K. pneumoniae. These results were confirmed in vivo in G. mellonella survival assays. In conclusion, the combination of colistin with new endolysins such as ElyA1 could increase the bactericidal activity and reduce the MIC of the antibiotic, thus also reducing the associated toxicity.\n\nIMPORTANCEThe development of multiresistance by pathogen bacteria increases the necessity of the development of new antimicrobial strategies. In this work, we combined the effect of the colistin with a new endolysin, ElyA1, from a bacteriophage present in the clinical strain of Acinetobacter baumannii Ab105. ElyA1 is a lysozyme-like family (GH108-GP3), whose antimicrobial activity was described for first time in this work. Also, another endolysin, ElyA2, with the same origin and family, was characterized but in this case no activity was detected. ElyA1 presented lytic activity over a broad spectrum of strains from A. baumannii, Pseudomonas aeruginosa, and Klebsiella pneumoniae. When colistin was combined with ElyA1 an increase of the antimicrobial activity was observed with a reduced concentration of colistin, and this observation was also confirmed in vivo in Galleria mellonella larvae. The combination of colistin with new endolysins as ElyA1 could increase the bactericidal activity and lowering the MIC of the antibiotic, thus also reducing the associated toxicity.

microbiology↗

Reconstruction of Escherichia coli ancient diversification by layered phylogenomics and polymorphism fingerprinting

The rapidly increasing availability of whole genomes provides the opportunity to reach an updated comprehensive view of bacterial evolution. The staggered diversification of evolutionary processes, based on the combined strategy of layered phylogenomics and polymorphism fingerprinting, give a new perspective in phylogenetic reconstructions. Layered phylogenomics is based on the assignation of genes according to five different evolutionary layers: minimal genome, genus-core genome, species-core genome, phylogroup-core genome and phylogroup-flexible genome. Polymorphism fingerprinting is based on the detection of conserved positions in each phylogenetic group but differing from those of their hypothetical ancestors. This approach was applied to Escherichia coli because there are unresolved evolutionary questions, although has been highly studied. Phylogenetic analysis based on 6,220 full genomes, identified three E. coli root lineages, defined as D, EB1A and FGB2. A new phylogroup, called G was detected near to phylogroup B2. The closest phylogroup to ancestral E. coli was phylogroup D, whereas E and F were the closest ones in their respective lineages; moreover, A and B2 were the most distant phylogroups in EB1A and FGB2 respectively. We suspect that EB1A and FGB2 lineages represent different adaptive strategies. In the deepest branch of EB1A lineage, the number of accumulated mutations was lower than in recent branches, whereas in FGB2 lineage the opposite occurred. The FGB2 lineage was enriched in genes related to host colonization-pathogenicity and toxin-antitoxin systems (such as hipA), whereas B1A sub-lineage acquired functions related to uptake and metabolism of carbohydrates (such as bgl, mng or xlyE). This new combined strategy shows a detailed staggered evolutionary reconstruction, which help us to understand the deepest events and the selection forces have driven E. coli diversification. This approach could add resolution in the reconstruction of the evolutionary trajectories of other microorganisms.\n\nAuthor summaryPhylogeny based on whole genome provides the opportunity to study the history of eco-adaptive diversification of any bacterial taxon. Different strategies have been proposed for knowing the evolutionary trajectories in some species, such as Escherichia coli; however, these analyses were based on a limited number of sequences, and sometimes the evolutionary reconstructions reached clashed positions, especially in the ancestral inferences. For adding resolution in evolutionary reconstructions, we propose a combination of approaches, such as layered phylogenomics based on the use of different set of genes corresponding to the successive evolutionary steps, and polymorphism fingerprinting which detects hallmarks of the ancient mutations. We propose to use E. coli because it is paradigmatic example of the evolutionary inconsistences despite being a microorganism with enough evolutionary analysis. Three ancestral lineages were established with this strategy and the staggered reconstruction about the origin and diversification of E. coli phylogroups was inferred. Moreover, in the context of this study, a new E. coli phylogroup was defined. The main lineages represent different adaptive strategies, one lineage gained genes involved in pathogenicity, and another one acquired genes allowing the obtainment of energy from different sources.

microbiology↗

Multi-Hierarchical Dynamics of Antimicrobial Resistance Simulated in a Nested Membrane Computing Model

Membrane Computing is a bio-inspired computing paradigm, whose devices are the so-called membrane systems or P systems. The P system designed in this work reproduces complex biological landscapes in the computer world. It uses nested \"membrane-surrounded entities\" able to divide, propagate and die, be transferred into other membranes, exchange informative material according to flexible rules, mutate and being selected by external agents. This allows the exploration of hierarchical interactive dynamics resulting from the probabilistic interaction of genes (phenotypes), clones, species, hosts, environments, and antibiotic challenges. Our model facilitates analysis of several aspects of the rules that govern the multi-level evolutionary biology of antibiotic resistance. We examine a number of selected landscapes where we predict the effects of different rates of patient flow from hospital to the community and viceversa, cross-transmission rates between patients with bacterial propagules of different sizes, the proportion of patients treated with antibiotics, antibiotics and dosing in opening spaces in the microbiota where resistant phenotypes multiply. We can also evaluate the selective strength of some drugs and the influence of the time-0 resistance composition of the species and bacterial clones in the evolution of resistance phenotypes. In summary, we provide case studies analyzing the hierarchical dynamics of antibiotic resistance using a novel computing model with reciprocity within and between levels of biological organization, a type of approach that may be expanded in the multi-level analysis of complex microbial landscapes.

microbiology↗